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https://zenodo.org/record/4045400#.YI0e7XUzahc
A challenge on the mapping of satellite altimeter sea surface height data organised by MEOM@IGE, Oce ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://zenodo.org/record/4045400#.YI0e7XUzahc | ||||
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| English name | 2020a_SSH_mapping_NATL60 | ||||
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| Citation | Maxime Ballarotta, Emmanuel Cosme, & Aurélie Albert. (2020, September 23). ocean-data-challenges/2020a_SSH_mapping_NATL60: Material for SSH mapping data challenge (Version v1). Zenodo. http://doi.org/10.5281/zenodo.4045400 | ||||
| Abstract | A challenge on the mapping of satellite altimeter sea surface height data organised by MEOM@IGE, Ocean-Next and CLS. This repository contains codes and sample notebooks for downloading and processing the SSH mapping data challenge. The goal is to investigate how to best reconstruct sequences of Sea Surface Height (SSH) maps from partial satellite altimetry observations. This data challenge follows an Observation System Simulation Experiment framework: "Real" full SSH are from a numerical simulation with a realistic, high-resolution ocean circulation model: the reference simulation. Satellite observations are simulated by sampling the reference simulation based on realistic orbits of past, existing or future altimetry satellites. A baseline reconstruction method is provided (see below) and the practical goal of the challenge is to beat this baseline according to scores also described below and in Jupyter notebooks. | ||||
| Technical contact email | please check the record details page | ||||
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https://adcirc.org/
ADCIRC is a system of computer programs for solving t
ime dependent, free surface circulation and ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://adcirc.org/ | ||||
| Parent Project URL | https://www.unc.edu/ | ||||
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| English name | ADCIRC Model | ||||
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| Abstract | ADCIRC is a system of computer programs for solving t ime dependent, free surface circulation and transport problems in two and three dimensions. These programs utilize the finite element method in space allowing the use of highly flexible, unstructured grids. Typical ADCIRC applications have included prediction of storm surge and flooding, modeling tides and wind driven circulation, larval transport studies, near shore marine operations, and dredging feasibility and material disposal studies. | ||||
| Technical contact email | please check the record details page | ||||
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http://doi.org/10.5281/zenodo.4147304
Tools for setting up, running and processing data from a Seaglider fitted with a Nortek 1MHz.
In ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://doi.org/10.5281/zenodo.4147304 | ||||
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| English name | adcp-glider | ||||
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| Citation | Callum Rollo. (2020, October 28). callumrollo/adcp-glider: Pre-release (Version v0.2-alpha). Zenodo. http://doi.org/10.5281/zenodo.4147304 | ||||
| Abstract | Tools for setting up, running and processing data from a Seaglider fitted with a Nortek 1MHz. In addition to the other requirements, the environment uses the Gibbs Seawater Python wrapper from https://github.com/TEOS-10/GSW-Python | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/JuliaOcean/AIBECS.jl
AIBECS (for Algebraic Implicit Biogeochemical Elemental Cycling System, pronounced like the cool ibe ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/JuliaOcean/AIBECS.jl | ||||
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| English name | AIBECS.jl | ||||
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| Citation | Benoit Pasquier, & Julia TagBot. (2020, November 20). JuliaOcean/AIBECS.jl: v0.8.1 (Version v0.8.1). Zenodo. http://doi.org/10.5281/zenodo.4282691 | ||||
| Abstract | AIBECS (for Algebraic Implicit Biogeochemical Elemental Cycling System, pronounced like the cool ibex) is a Julia package that provides ocean biogeochemistry modellers with an easy-to-use interface for creating and running models of the ocean system. AIBECS is a system because it allows you to choose some biogeochemical tracers, define their interactions, select an ocean circulation and Voilà! — your model is ready to run. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/ocefpaf/python-airsea
This module is a translation of the original AIRSEA-2.0 MATLAB toolbox routines for calculating the ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/ocefpaf/python-airsea | ||||
| Parent Project URL | http://ocefpaf.github.io/python4oceanographers/ | ||||
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| English name | airsea package | ||||
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| Abstract | This module is a translation of the original AIRSEA-2.0 MATLAB toolbox routines for calculating the properties of airsea fluxes. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/aodn/aodn-portal
The AODN open geospatial portal is a Grails application for discovering, subsetting, and downloading ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/aodn/aodn-portal | ||||
| Parent Project URL | https://portal.aodn.org.au/ | ||||
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| English name | AODN Open Geospatial Portal repository | ||||
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| Abstract | The AODN open geospatial portal is a Grails application for discovering, subsetting, and downloading geospatial data. The application is a stateless front end to other servers: GeoNetwork metadata catalog GeoServer data server (WMS and WFS and our WPS subsetting and aggregation services THREDDS Gridded (ncWMS files) data server with embedded ncWMS (http://www.resc.rdg.ac.uk/trac/ncWMS/) web map server You can view the portal in action at AODN Portal, which always runs the latest version of the code. | ||||
| Technical contact email | please check the record details page | ||||
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https://www.channelcoast.org/ccoresources/api/
API from the Channel Coastal Observatory
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.channelcoast.org/ccoresources/api/ | ||||
| Parent Project URL | https://www.channelcoast.org/ | ||||
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| English name | API - Channel Coastal Observatory | ||||
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| Citation | |||||
| Abstract | API from the Channel Coastal Observatory | ||||
| Technical contact email | please check the record details page | ||||
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https://lpdaacsvc.cr.usgs.gov/appeears/
The Application for Extracting and Exploring Analysis Ready Samples (AρρEEARS) offers a simple and ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://lpdaacsvc.cr.usgs.gov/appeears/ | ||||
| Parent Project URL | https://lpdaac.usgs.gov/ | ||||
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| English name | Application for Extracting and Exploring Analysis Ready Samples - NASA's Land Processes Distributed Active Archive Center | ||||
| Original (non-English) name | |||||
| Acronym | AppEEARS - LP DAAC | ||||
| Citation | |||||
| Abstract | The Application for Extracting and Exploring Analysis Ready Samples (AρρEEARS) offers a simple and efficient way to access and transform geospatial data from a variety of federal data archives. AρρEEARS enables users to subset geospatial datasets using spatial, temporal, and band/layer parameters. Two types of sample requests are available: point samples for geographic coordinates and area samples for spatial areas via vector polygons. Sample requests submitted to AρρEEARS provide users not only with data values, but also associated quality data values. Interactive visualizations with summary statistics are provided for each sample within the application, which allow users to preview and interact with their samples before downloading their data. Get started with a sample request using the Extract option above, or visit the Help page to learn more. | ||||
| Technical contact email | please check the record details page | ||||
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https://portal.fiskeridir.no/arcgis/rest/services
ArcGIS REST Services
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://portal.fiskeridir.no/arcgis/rest/services | ||||
| Parent Project URL | https://portal.fiskeridir.no/ | ||||
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| English name | ArcGIS REST Services - Norwegian Directorate of Fisheries | ||||
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| Citation | |||||
| Abstract | ArcGIS REST Services | ||||
| Technical contact email | please check the record details page | ||||
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https://maps.helcom.fi/arcgis/rest/services
The HELCOM' ArcGIS REST API, short for Representational State Transfer, provides a simple, open web ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://maps.helcom.fi/arcgis/rest/services | ||||
| Parent Project URL | https://helcom.fi/ | ||||
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| English name | ArcGIS REST Services Directory - Baltic Marine Environmental Protection Commission | ||||
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| Acronym | ArcGIS REST Services Directory - HELCOM | ||||
| Citation | |||||
| Abstract | The HELCOM' ArcGIS REST API, short for Representational State Transfer, provides a simple, open web interface to ArcGIS. A major portion of the API, described in this section of the help, allows access to services hosted by ArcGIS Server. All resources and operations exposed by the REST API are accessible through a hierarchy of endpoints or Uniform Resource Locators (URLs) for each GIS service published with ArcGIS Server. When using the ArcGIS Services portion of the REST API, you typically start from a well-known endpoint, which represents the server catalog. See the Resource hierarchy to learn about how the services in the REST API fit together under the catalog. | ||||
| Technical contact email | please check the record details page | ||||
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https://gisp.dfo-mpo.gc.ca/arcgis/rest/services/FGP
This is a link to the Fisheries and Oceans Canada's ArcGIS public REST Services Directory.
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| Submitter/Owner | Mr. Mathieu Ouellet ( OceanExpert : 13035 ) | ||||
| Submitter/Owner Role | IODE NODC | ||||
| Datasource URL | https://gisp.dfo-mpo.gc.ca/arcgis/rest/services/FGP | ||||
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| English name | ArcGIS REST Services Directory - Fisheries and Oceans Canada | ||||
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| Abstract | This is a link to the Fisheries and Oceans Canada's ArcGIS public REST Services Directory. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/hainegroup/Arctic-Ocean-Freshwater-Synthesis
MATLAB code to build a schematic diagram of Arctic Ocean freshwater storage and fluxes. Data taken f ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/hainegroup/Arctic-Ocean-Freshwater-Synthesis | ||||
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| English name | Arctic-Ocean-Freshwater-Synthesis | ||||
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| Abstract | MATLAB code to build a schematic diagram of Arctic Ocean freshwater storage and fluxes. Data taken from Jahn & Laiho (2020) and Haine et al. (2015), plus updates. Run MATLAB codes as follows: Run flux_update.m to make a diagnostic figure of freshwater fluxes from Haine et al. (2015), plus recent public data updates. This builds the .mat file used in the main script. Run make_LFC_map.m to make the liquid freshwater content basemap adapted from Haine et al. (2015) Fig. 6. Run schematic_figure.m to read Alex Jahn's CESM data from Jahn & Laiho (2020) and make the subplots for the schematic figure (six .eps files). Use Mac keynote to build schematic.key and hence schematic.pdf using the component figure files. The MATLAB code uses Gibbs-Seawater (GSW) Oceanographic Toolbox functions. A commentary article entitled Arctic Ocean Freshening Linked to Anthropogenic Climate Change: All Hands on Deck has been submitted to GRL. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/SOCCOM-BGCArgo/ARGO_PROCESSING
Code library to support processing and quality control of BGC Argo floats.
Welcome to MBARI's ARG ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/SOCCOM-BGCArgo/ARGO_PROCESSING | ||||
| Parent Project URL | https://soccom.princeton.edu/ | ||||
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| English name | ARGO_PROCESSING package - SOCCOM BGC Argo | ||||
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| Abstract | Code library to support processing and quality control of BGC Argo floats. Welcome to MBARI's ARGO_PROCESSING code repository. The repo has two main subdirectories, one containing our MATLAB code base (MFILES), and one containing supporting reference data (DATA). Within MFILES/FLOATS are a number of functions and data parsers that are internal to processing at MBARI, and that also support the Graphical User Interfaces (GUIs) we developed for quality control of BGC data. The /MFILES/GUIS/SAGE_O2Argo/ directory holds code used to run our oxygen-specific GUI, SAGE-O2Argo (SOCCOM Assessment and Graphical Evaluation for Oxygen, for use with Argo floats). This version of SAGEO2 was developed specifically for use with Argo netCDF files and assists the user in deriving optode gain correction factors by comparing float oxygen with specific reference datasets (ie WOA2013, and NCEP reanalysis). The software accesses files and routines within other subdirectories of the repository, so be sure to clone the entire repo before launching the GUI software. Additionally, a SAGE-O2Argo user manual with detailed install inscructions can be found within MFILES/GUIS/SAGE_O2Argo/. The version of SAGEO2 that utilizes .msg files (rather than Argo *.nc files) may be added to this repository in the future under /MFILES/GUIS/SAGE_O2/. The SAGE GUI (used for correcting pH and NO3- data), has been added under /MFILES/GUIS/SAGE/. This GUI can be used with SOCCOM or NON-SOCCOM floats, although input data files must be in standard SOCCOM ODV-ascii format. A complete user-manual has not yet been developed, but a short readme exists explaining setup instructions under /MFILES/GUIS/SAGE/. Please note that this code is provided as-is and is subject to periodic updates and improvements. If you are interested in contributing to this repository, please contact Tanya Maurer at tmaurer@mbari.org. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/euroargodev/argodmqc_owc
This software is a python implementation of the "OWC" salinity calibration method used in Argo float ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/euroargodev/argodmqc_owc | ||||
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| English name | argodmqc_owc package | ||||
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| Abstract | This software is a python implementation of the "OWC" salinity calibration method used in Argo floats Delayed Mode Quality Control. This software is in very active development and its usage may change any time. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/ArgoCanada/argoFloats
The argoFloats package for the R language provides tools for downloading and analyzing collections o ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/ArgoCanada/argoFloats | ||||
| Parent Project URL | https://argocanada.github.io/argoFloats/index.html | ||||
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| English name | argoFloats package | ||||
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| Abstract | The argoFloats package for the R language provides tools for downloading and analyzing collections of oceanographic Argo float datasets. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/euroargodev/argopy
Argo is a real-time global ocean in situ observing system. It provides thousands of highly
accurate ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/euroargodev/argopy | ||||
| Parent Project URL | https://joss.theoj.org/papers/10.21105/joss.02425 | ||||
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| English name | argopy package | ||||
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| Citation | Maze et al., (2020). argopy: A Python library for Argo ocean data analysis. Journal of Open Source Software, 5(53), 2425, https://doi.org/10.21105/joss.02425 | ||||
| Abstract | Argo is a real-time global ocean in situ observing system. It provides thousands of highly accurate ocean measurements every day. The Argo dataset has now accumulated more than 2.3 million vertical ocean profiles and accessing it for scientific analysis remains a challenge. The Argo expert community, focused on delivering a curated dataset of the best scientific quality possible, has never provided its user base with a Python software package to easily access and manipulate Argo measurements: the argopy software aims to fill this gap. The argopy software can be used to easily fetch and manipulate measurements from Argo floats. It is dedicated to scientists without knowledge of the Argo data management system but is also designed to accommodate expert requirements. | ||||
| Technical contact email | please check the record details page | ||||
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http://eurogoos.eu/atlantos/atlantos-dashboard/
AtlantOS Monitoring Dashboard
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://eurogoos.eu/atlantos/atlantos-dashboard/ | ||||
| Parent Project URL | http://eurogoos.eu/ | ||||
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| English name | AtlantOS Monitoring Dashboard | ||||
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| Citation | |||||
| Abstract | AtlantOS Monitoring Dashboard | ||||
| Technical contact email | please check the record details page | ||||
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http://www.johnny-lin.com/py_pkgs/atmqty/doc/
This package contains methods to calculate atmospheric quantities (on the Earth) that are directly d ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://www.johnny-lin.com/py_pkgs/atmqty/doc/ | ||||
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| English name | atmqty package | ||||
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| Abstract | This package contains methods to calculate atmospheric quantities (on the Earth) that are directly derivative (i.e. not requiring time integration or modeling) from standard state variables. The AtmQty class that manages these quantities and the AtmConst class of atmosphere-related constants are defined in this package. The current version is 0.2.0.2. Although I've used these routines in my own research, I cannot guarantee that they will work for your purposes. More disclaimers and other fine print are below. This package has not been developed/maintained since 2004. It's published for historical and educational purposes only. I would not recommend you to use it for your own work as is. There are three ways of using this package: (1) for its central definition of atmospheric constants, (2) as a suite of procedures to calculate selected atmospheric quantities using Numeric arrays as input, and (3) for the AtmQty object, which manages the calculation of a self-consistent set of atmospheric quantities. Here we provide a brief summary of using the package. Further description is in the reference manual. Atmospheric Constants: The AtmConst class provides a comprehensive (someday) and consistent definition of important atmospheric constants. Constants are defined both as class attributes and also as instance attributes whose initial values are set by the class attribute version. This "double-definition" enables one to make local changes to local instances of the AtmConst class without having the changes propagate to all subsequent references. At the same time, you can change the value in all subsequent references, if you wish, by altering and using the class attribute definition. | ||||
| Technical contact email | please check the record details page | ||||
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http://avre.auscope.org/store
Welcome to the AuScope Virtual Research Environment (AVRE), Australia’s home of geoscience data an ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://avre.auscope.org/store | ||||
| Parent Project URL | https://www.auscope.org.au/avre | ||||
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| English name | AuScope Virtual Rsearch Environment Store | ||||
| Original (non-English) name | |||||
| Acronym | AVRE Store | ||||
| Citation | |||||
| Abstract | Welcome to the AuScope Virtual Research Environment (AVRE), Australia’s home of geoscience data and tools that help scientists place the next pieces of our giant, continental puzzle. The AVRE is a rich ecosystem of Findable, Accessible, Interoperable and Reusable (FAIR) data and tools contributed to by a diverse range of Australian research organisations, government geological surveys and the international community. Over the last decade we have developed the AVRE architecture using open geospatial data and analytics web services and open data principles, gathering diverse data types – geochemical to geophysical, and built a suite of data visualisation and analytics tools. We continue to expand the range of data and tools available via the AVRE to support future research, including new and historical datasets. This is performed in multiple projects across the contributing organisations co-operating as part of the AVRE. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/IQuOD/AutoQC
Recent studies suggest that changes to global climate as have been seen at the Earth's land and ocea ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/IQuOD/AutoQC | ||||
| Parent Project URL | http://www.iquod.org/ | ||||
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| English name | AutoQC package - International Quality Controlled Ocean Database | ||||
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| Acronym | AutoQC - IQuOD | ||||
| Citation | |||||
| Abstract | Recent studies suggest that changes to global climate as have been seen at the Earth's land and ocean surface are also making their way into the deep ocean, which is the largest active storage system for heat and carbon available on the timescale of a human lifetime. Historical measurements of subsurface ocean temperature are essential to the scientific research investigating the changes in the amount of heat stored in the ocean and also to other climate research activities such as combining observations with numerical models to provide estimates of the global ocean's and Earth's climate state in the past and predictions for the future. Unfortunately, as with all observations, these measurements contain errors and biases that must be identified to prevent a negative impact on the applications and investigations that rely on them. Various groups from around the world have developed quality control tests to perform this important task. However, this has led to duplication of effort, code that is not easily available to other researchers and the introduction of climate model differences solely due to the varying performance of these software systems whose nuances relative to one another are poorly known. Recently, an international team of researchers has decided to work together to break down the barriers between the various groups and countries through the formation of the IQuOD (International Quality Controlled Dataset) initiative. One of the key aims is to intercompare the performance of the various automatic quality control tests that are presently being run to determine a best performing set. This work has started. However, it currently involves individuals running test datasets through their own systems and is being confounded by complications associated with the differences in the file formats and systems that are in use in the various labs and countries. The IQuOD proposal is to set up an open quality control benchmarking system. Work will begin by implementing a battery of simple tests to run on some test data, and producing summary statistics and visualizations of the results. Later goals include helping researchers either wrap their existing C, Fortran and MATLAB test functions in Python for use in this test suite, or re-implementing those tests in native Python. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/globalbioticinteractions/bco-dmo
Configuration to help Global Biotic Interactions (GloBI, https://globalbioticinteractions.org) index ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/globalbioticinteractions/bco-dmo | ||||
| Parent Project URL | https://www.globalbioticinteractions.org/ | ||||
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| English name | bco-dmo-GloBI configuration | ||||
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| Abstract | Configuration to help Global Biotic Interactions (GloBI, https://globalbioticinteractions.org) index datasets via the Biological & Chemical Oceanography Data Management Office https://www.bco-dmo.org/ at the Woods Hole Oceanographic Institution http://www.whoi.edu/. Indexed datasets include: Almeida, F. (2005) Trophic Ecology of Atlantic Cod, off Cape Cod, MA, from F/V Riena Marie NEC-FA2001-1 in the Gulf of Maine from 2001-2004 (NEC-CoopRes project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version final) Version Date 2005-10-01 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/3087 Note that while the BCO-DMO project maintains a dataset registry and provides open data access, schema's for individual datasets need to be individually created after manually finding datasets that contains species interactions. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/MikkoVihtakari/BioticExplorer
A Shiny app to explore Biotic data within the Institute of Marine Research Norway (IMR) database.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/MikkoVihtakari/BioticExplorer | ||||
| Parent Project URL | https://www.hi.no/en | ||||
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| English name | BioticExplorer application - Institute of Marine Research Norway | ||||
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| Acronym | BioticExplorer - IMR | ||||
| Citation | |||||
| Abstract | A Shiny app to explore Biotic data within the Institute of Marine Research Norway (IMR) database. This is the developmental version of the Biotic Explorer Shiny app intended for examination and manipulation of the Norwegian Maritime Data Center (NMD) standard Biotic xml files as well as the IMR’s Biotic database (see the User guide section). The application has been developed by the Stox team at the IMR. The app can be run on a desktop (i.e. your computer) for local files and on a server for both local files and the entire IMR Biotic database. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/BjerknesClimateDataCentre
Bjerknes Climate Data Centre software repository
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/BjerknesClimateDataCentre | ||||
| Parent Project URL | http://www.bcdc.no | ||||
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| English name | Bjerknes Climate Data Centre software repository | ||||
| Original (non-English) name | |||||
| Acronym | BCDC software repository | ||||
| Citation | |||||
| Abstract | Bjerknes Climate Data Centre software repository | ||||
| Technical contact email | please check the record details page | ||||
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http://www.cmar.csiro.au/csquares/
C-squares is a system for storage, querying, display, and exchange of "spatial data" locations and e ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://www.cmar.csiro.au/csquares/ | ||||
| Parent Project URL | https://www.csiro.au/ | ||||
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| English name | c-squares - Commonwealth Scientific and Industrial Research Organisation | ||||
| Original (non-English) name | |||||
| Acronym | c-squares - CSIRO | ||||
| Citation | Rees, Tony. 2003. "C-Squares", a New Spatial Indexing System and its Applicability to the Description of Oceanographic Datasets. Oceanography 16 (1), pp. 11-19. | ||||
| Abstract | C-squares is a system for storage, querying, display, and exchange of "spatial data" locations and extents in a simple, text-based, human- and machine- readable format. It uses numbered (coded) squares on the earth's surface measured in degrees (or fractions of degrees) of latitude and longitude as fundamental units of spatial information, which can then be quoted as single squares (similar to a "global postcode") in which one or more data points are located, or be built up into strings of codes to represent a wide variety of shapes and sizes of spatial data "footprints". "Spatial data" (short for "geospatial data") in this context means any data which relate to a particular position on the earth's surface - and thus, for example, could be plotted on a map. | ||||
| Technical contact email | please check the record details page | ||||
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http://cersat.ifremer.fr/data/tools-and-services/calypso
Calypso allow visualisation and interactive analysis to various data used or produced by GlobWave pr ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://cersat.ifremer.fr/data/tools-and-services/calypso | ||||
| Parent Project URL | http://cersat.ifremer.fr/ | ||||
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| English name | Calypso - Satellite Data Processing, Archiving and Distribution Center at French research institute for the exploitation of the sea | ||||
| Original (non-English) name | |||||
| Acronym | Calypso - CERSAT-IFREMER | ||||
| Citation | |||||
| Abstract | Calypso allow visualisation and interactive analysis to various data used or produced by GlobWave project for the validation or inter-comparison with satellite data, such as buoys, satellite/buoy matchups or model outputs. This application has been implemented by Ifremer/Cersat and requires flash plugin on your navigator. Calypso is intended to provide users with some user-friendly means to investigate the content and extent of the various data collected or produced, to visually assess the quality and accuracy of the satellite measurements, as well as displaying or comparing other potiential sources of measurements. | ||||
| Technical contact email | please check the record details page | ||||
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http://doi.org/10.5281/zenodo.1402262
A Python module for calculating seawater carbon and boron chemistry.
This will be particularly us ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://doi.org/10.5281/zenodo.1402262 | ||||
| Parent Project URL | https://github.com/oscarbranson/cbsyst | ||||
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| English name | cbsyst package | ||||
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| Citation | Oscar. (2018, August 23). oscarbranson/cbsyst: beta (Version 0.3.6). Zenodo. http://doi.org/10.5281/zenodo.1402262 | ||||
| Abstract | A Python module for calculating seawater carbon and boron chemistry. This will be particularly useful for anyone thinking about oceans in the distant past, when Mg and Ca concentrations were different. I use Mathis Hain's MyAMI model to adjust speciation constants for Mg and Ca concentration. Tested in the modern ocean against GLODAPv2 data (see below). Performs as well as Matlab CO2SYS. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/chadagreene/CDT
This page lists the contents of Climate Data Tools for Matlab. For help getting started with CDT
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/chadagreene/CDT | ||||
| Parent Project URL | https://www.chadagreene.com/CDT/CDT_Contents.html | ||||
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| English name | CDT package | ||||
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| Citation | Chad A. Greene, Kaustubh Thirumalai, Kelly A. Kearney, José Miguel Delgado, Wolfgang Schwanghart, Natalie S. Wolfenbarger, … Donald D. Blankenship. (2019, February 18). The Climate Data Toolbox for Matlab (Version v1.00). Zenodo. http://doi.org/10.5281/zenodo.2590731 | ||||
| Abstract | This page lists the contents of Climate Data Tools for Matlab. For help getting started with CDT | ||||
| Technical contact email | please check the record details page | ||||
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http://data.cefas.co.uk
The Centre for the Environment, Fisheries and Aquaculture Science (Cefas), as one of the world's lon ...
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| Submitter/Owner | Laura Hanley ( OceanExpert : 42488 ) | ||||
| Submitter/Owner Role | IODE ADU | ||||
| Datasource URL | http://data.cefas.co.uk | ||||
| Parent Project URL | https://www.cefas.co.uk | ||||
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| English name | Cefas Data Hub | ||||
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| Acronym | |||||
| Citation | Cefas Data Hub | ||||
| Abstract | The Centre for the Environment, Fisheries and Aquaculture Science (Cefas), as one of the world's longest-established marine research organisations, has provided advice on the sustainable exploitation of marine resources since 1902. Today Cefas works in support of a healthy environment and a growing blue economy providing innovative solutions for the aquatic environment, biodiversity and food security. The Cefas Data Hub provides access to over 2080 metadata records, with over 5500 data sets available to download and connect to in support of commitments to Open Science through the Data Portal. Datasets available are increasingly diverse and include many legacy datasets including those from fish, shellfish and plankton surveys from the 1980's to the present day. Other increasingly international datasets made available include species migration data from tagging activities and data on habitat and sediment, ecosystem change, human activities including marine litter, otolith sampling and fish stomach contents, oceanography, acoustics, health and water quality. Data is provided under Open Government License by default where feasible. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | Currently over 100 DOIs for data and data products | ||||
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http://predmar.cicese.mx/calendarios/
This page provides tide calendars off the coast of Mexico. The forecasts are based on historical hou ...
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| Submitter/Owner | Dr Carlos R. Torres ( OceanExpert : 19846 ) | ||||
| Submitter/Owner Role | IODE NODC | ||||
| Datasource URL | http://predmar.cicese.mx/calendarios/ | ||||
| Parent Project URL | http://predmar.cicese.mx/ | ||||
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| English name | CICESE Tide calendars in Mexico | ||||
| Original (non-English) name | CICESE Calendarios de mareas en México | ||||
| Acronym | Predmar | ||||
| Citation | Predmar http://predmar.cicese.mx/calendarios/ accesado 8/feb/2018. | ||||
| Abstract | This page provides tide calendars off the coast of Mexico. The forecasts are based on historical hourly sea level data obtained by CICESE, the National Autonomous University of Mexico, or the Secretary of the Navy. Monthly graphic calendars are offered for more than 40 locations. For partial compatibility with the original page, on this page, you can obtain the platform program for Windows 98/2000 / Me / XP and NT. "MAR V1.0 NEW" which is another source to get the calendars. | ||||
| Technical contact email | please check the record details page | ||||
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| Spatial Coverage | 32N 8N -120E -80W | ||||
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https://github.com/ARCCSS-extremes/climpact
Climpact is an R package that calculates indices of daily climate extremes. It can read data for a s ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/ARCCSS-extremes/climpact | ||||
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| English name | climpact package | ||||
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| Abstract | Climpact is an R package that calculates indices of daily climate extremes. It can read data for a single site (e.g. a weather station) in the form of a text file, or for gridded data (e.g. from a climate model) in the form of netCDF files. This software directly builds off the R packages climdex.pcic and climdex.pcic.ncdf, developed by the Pacific Climate Impacts Consortium (PCIC). If you want to calculate these indices from text files then you DO NOT need to install this software, instead go to the Climpact website to calculate these indices online. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/matplotlib/cmocean
This package contains colormaps for commonly-used oceanographic variables. Most of the colormaps sta ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/matplotlib/cmocean | ||||
| Parent Project URL | https://matplotlib.org/cmocean/ | ||||
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| English name | cmocean package | ||||
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| Abstract | This package contains colormaps for commonly-used oceanographic variables. Most of the colormaps started from matplotlib colormaps, but have now been adjusted using the viscm tool to be perceptually uniform. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/jonathansharp/CO2-System-Extd
This repository includes software compatible with MATLAB and GNU Octave for calculating marine CO2 s ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/jonathansharp/CO2-System-Extd | ||||
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| ODIS-Arch Type | |||||
| English name | CO2-System-Extd package | ||||
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| Citation | The full citation for CO2SYSv3 (Sharp et al., 2020) is given below. Cite this version if using CO2SYSv3 for CO2 system calculations or propagating errors in CO2 system calculations using the extended errors.m or derivnum.m routines provided here. If using any CO2SYS program for CO2 system calculations, cite also the original CO2SYS DOS work of Lewis and Wallace (1998). If using the CO2SYS MATLAB program for CO2 system calculations, cite also the work of van Heuven et al. (2011). If using the derivnum.m and/or errors.m programs for CO2 system error propagations, cite also the work of Orr et al. (2018). | ||||
| Abstract | This repository includes software compatible with MATLAB and GNU Octave for calculating marine CO2 system variables (CO2SYS.m), computing partial derivatives of calculated CO2 system variables with respect to inputs (derivnum.m), and propagating uncertainties for CO2 system calculations (errors.m). This software performs similarly to previously released versions of CO2SYS.m (v1: https://cdiac.ess-dive.lbl.gov/ftp/co2sys/CO2SYS_calc_MATLAB_v1.1/; v2: https://github.com/jamesorr/CO2SYS-MATLAB), and includes the following extended capabilities, additions, and bug fixes (among other minor changes): Can accept input parameters of [CO3], [HCO3], and [CO2], and propagate their uncertainties Includes NH3 and HS as alkalinity contributors, and propagates their uncertainties Uses separate inputs to specify choices for characterizations of K1K2, KSO4, KF, and TB Does not evaluate input parameters equal to -999 or NaN Exits pH iteration loops that do not converge and indicates where a problem occurred Provides exactly identical pH results for a given input line, no matter the other lines of input parameters (this is not necessarily the case for prior versions of CO2SYS.m) Uses an updated definition of the ideal gas constant (https://physics.nist.gov/cgi-bin/cuu/Value?r) Fixes bugs in CO2SYS.m Revelle factor calculation and derivnum.m output conditions Includes K1 and K2 constants defined by Sulpis et al. (2020), K2 constant defined by Schockman and Byrne (2021), KF constant defined by Perez and Fraga (1987), and KSO4 constant of Waters and Millero (2013) errors.m includes optional calcium concentration uncertainty input as discussed in Dillon et al. (2020) Also included in this repository is a routine to compare CO2SYSv3 to CO2SYSv2 (compare_versions.m), a routine to calculate substrate-inhibitor ratios ([HCO3]/[H]; Bach, 2015) from CO2SYS output (SIR.m), a routine to calculate total concentrations of conservative elements (Na, Mg, Cl, etc.) from CO2SYS output (TOTALS.m), and an example function to run CO2SYSv3 and plot some of the output (example_CO2SYS.m). | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/jamesorr/CO2SYS-MATLAB
CO2SYS software for MATLAB (or octave) to compute variables of ocean CO2 system. Here you will find ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/jamesorr/CO2SYS-MATLAB | ||||
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| English name | CO2SYS-MATLAB | ||||
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| Abstract | CO2SYS software for MATLAB (or octave) to compute variables of ocean CO2 system. Here you will find a MATLAB-version of CO2SYS, originally written for DOS. CO2SYS calculates and returns a detailed state of the carbonate system for oceanographic water samples, if supplied with sufficient input. Use the CO2SYS function as you would use any other MATLAB inline function, i.e., a=func(b,c). For much detail about how to use CO2SYS, simply type "help CO2SYS" in MATLAB. The help function also works for the two new uncertainty propagation routines (errors and derivnum). For details on the internal workings of CO2SYS, please refer to the original publication (Lewis and Wallace, 1998) available at http://cdiac.ornl.gov/oceans/co2rprt.html. Since CO2SYS and the two new routines each allow input of vectors, with just one call they can process many samples. Each sample may have a different salinity, temperature, pH scale, dissociation constants, etc. he original version for DOS was written by Lewis and Wallace (1998). That was translated to MATLAB by Denis Pierrot at CIMAS, University of Miami, Miami, Florida. Then that code was vectorized, refined, and optimized for computational speed by Steven van Heuven, University of Groningen, The Netherlands. Although functionality was added, the output of the CO2SYS function has not changed in form. All versions of CO2SYS that are available at CDIAC (DOS, Excel, MATLAB) should produce nearly identical results when supplied with identical input. Indeed, close agreement between these different versions of CO2SYS was demonstrated by Orr et al. (2015). More recently, CO2SYS-MATLAB has been modified to include uncertainty propagation (Orr et al., 2018): the main routine CO2SYS.m was altered slightly, while two new routines were added (errors.m and derivnum.m) If you discover inconsistencies or have a more general bug report for CO2SYS.m, please notify S. van Heuven (svheuven at gmail.com), Denis Pierrot (Denis.Pierrot at noaa.gov), or Alex Kozyr (kozyr at ornl.gov). For any concerns about the uncertainty propagation routines (errors.m and derivnum.m), please contact James Orr (james.orr at lsce.ipsl.fr) | ||||
| Technical contact email | please check the record details page | ||||
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https://www.channelcoast.org/ccoresources/coastaltools/
CoastalTools is a software package written in Matlab™ to load, manipulate, analyse and plot timese ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.channelcoast.org/ccoresources/coastaltools/ | ||||
| Parent Project URL | https://www.channelcoast.org/ | ||||
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| English name | CoastalTools - Channel Coastal Observatory | ||||
| Original (non-English) name | |||||
| Acronym | CoastalTools - CCO | ||||
| Citation | |||||
| Abstract | CoastalTools is a software package written in Matlab™ to load, manipulate, analyse and plot timeseries data of the sort held by the Channel Coastal Observatory (CCO) and the British Oceanographic Data Centre (BODC). It is not intended to replace database utilities such as SANDS™. Instead it allows the user to rapidly load CCO and BODC data sets (typically waves, tides and beach profiles) and to examine derived properties, such as inshore energy, alongshore drift, beach volume change, etc. The models used are relatively simple and not intended as a substitute for more detailed coastal process modelling. However, they are sufficient for rapid assessments and to research such things as storminess, the influence of clustering, beach dynamics, spatial and temporal change, etc. The code is Open Source and issued under a GNU General Public License. For further details, online manual and to download the software see: http://www.coastalsea.uk/#download-page | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/SCAR
The Scientific Committee on Antarctic Research (SCAR) code repository
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/SCAR | ||||
| Parent Project URL | https://www.scar.org/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Code Repository - Scientific Committee on Antarctic Research | ||||
| Original (non-English) name | |||||
| Acronym | Code Repository - SCAR | ||||
| Citation | |||||
| Abstract | The Scientific Committee on Antarctic Research (SCAR) code repository | ||||
| Technical contact email | please check the record details page | ||||
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http://oceanlife.dtuaqua.dk/cspectrum/
Calculate the expected ecosystem effect of a management plan involving changing the fishing mortalit ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://oceanlife.dtuaqua.dk/cspectrum/ | ||||
| Parent Project URL | https://www.oceanlifecentre.dk/ | ||||
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| English name | Community size spectrum simulator - Centre for Ocean Life | ||||
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| Citation | |||||
| Abstract | Calculate the expected ecosystem effect of a management plan involving changing the fishing mortality on one aspect of the fish community from an "initial" fishing pattern to "new" fishing pattern. | ||||
| Technical contact email | please check the record details page | ||||
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https://zenodo.org/record/3733959#.YJ_edKIzahc
CoTeDe is an Open Source Python package to quality control (QC) oceanographic data such as temperatu ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://zenodo.org/record/3733959#.YJ_edKIzahc | ||||
| Parent Project URL | https://cotede.readthedocs.io/en/latest/ | ||||
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| English name | CoTeDe | ||||
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| Citation | Castelao, Guilherme. (2020, March 31). CoTeDe: Quality Controlling Oceanographic Data (Version v0.21.3). Zenodo. http://doi.org/10.5281/zenodo.3733959 | ||||
| Abstract | CoTeDe is an Open Source Python package to quality control (QC) oceanographic data such as temperature and salinity. It was designed to attend individual scientists as well as real-time operations on large data centers. To achieve that, CoTeDe is highly customizable, giving the user full control to compose the desired set of tests including the specific parameters of each test, or choose from a list of preset QC procedures. I believe that we can do better than we have been doing with more flexible classification techniques, which includes machine learning. My goal is to minimize the burden on manual expert QC improving the consistency, performance, and reliability of the QC procedure for oceanographic data, especially for real-time operations. CoTeDe is the result from several generations of quality control systems that started in 2006 with real-time QC of TSGs and were later expanded for other platforms including CTDs, XBTs, gliders, and others. CoTeDe contains several QC procedures that can be easily combined in different ways: Pre-set standard tests according to the recommendations by GTSPP, EGOOS, XBT, Argo or QARTOD; Custom set of tests, including user defined thresholds; Two different fuzzy logic approaches: as proposed by Timms et. al 2011 & Morello et. al. 2014, and using usual defuzification by the bisector; A novel approach based on Anomaly Detection, described by Castelao 2021 (available since 2014 http://arxiv.org/abs/1503.02714). Each measuring platform is a different realm with its own procedures, metadata, and meaningful visualization. So CoTeDe focuses on providing a robust framework with the procedures and lets each application, and the user, to decide how to drive the QC. For instance, the pySeabird package is another package that understands CTD and uses CoTeDe as a plugin to QC. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/clayton33/csasAtlPhys
The csasAtlPhys R package supports DFO Atlantic region physical oceanography CSAS analysis.
csasAtl ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/clayton33/csasAtlPhys | ||||
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| English name | csasAtlPhys package | ||||
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| Abstract | The csasAtlPhys R package supports DFO Atlantic region physical oceanography CSAS analysis. csasAtlPhys helps support data analysis to produce data products presented in the research document that summarizes the meteorological and physical oceanographic conditions on the Scotian shelf and Gulf of Maine, as seen here. This package mainly has functionality to download and read various data sources around the web. It also has some basic plotting methods used to produce consistent plots required for the document. In addition, it had some functions for some types of calculations. Various files that are critical for various aspects of the analysis also reside in this package to insure that they are never lost. Please note that this package does not have any figures or data output for the analysis described above. This package is in active development, and due to the nature of the package, there is no plan at this time to submit to CRAN. | ||||
| Technical contact email | please check the record details page | ||||
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http://incod.inio.ac.ir/Products/Software/CSR-Tool
INCOD has developed CSR entry tool based on ISO 19139 standard.
This application was developed in o ...
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| Submitter/Owner | Mrs. Farnaz Ghiasi ( OceanExpert : 26554 ) | ||||
| Submitter/Owner Role | IODE NODC | ||||
| Datasource URL | http://incod.inio.ac.ir/Products/Software/CSR-Tool | ||||
| Parent Project URL | http://incod.inio.ac.ir/ | ||||
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| English name | CSR Application - Iranian National Center for Ocean Data | ||||
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| Acronym | CSR Application - INCOD | ||||
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| Abstract | INCOD has developed CSR entry tool based on ISO 19139 standard. This application was developed in order to manipulate and publish CSR records by marine organizations. It is freely accessible through INCOD portal. | ||||
| Technical contact email | please check the record details page | ||||
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| Spatial Coverage | Persian Gulf, Oman Sea, Caspian Sea, Arabian Sea, Indian Ocean, Iranian coast | ||||
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https://github.com/gher-ulg/DIVAnd.jl
DIVAnd (Data-Interpolating Variational Analysis in n dimensions) performs an n-dimensional variation ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/gher-ulg/DIVAnd.jl | ||||
| Parent Project URL | https://gher-ulg.github.io/ | ||||
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| English name | Data-Interpolating Variational Analysis in n dimensions Software | ||||
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| Acronym | DIVAnd Software | ||||
| Citation | Barth, A., Beckers, J.-M., Troupin, C., Alvera-Azcárate, A., and Vandenbulcke, L.: DIVAnd-1.0: n-dimensional variational data analysis for ocean observations, Geosci. Model Dev., 7, 225-241, doi:10.5194/gmd-7-225-2014, 2014. | ||||
| Abstract | DIVAnd (Data-Interpolating Variational Analysis in n dimensions) performs an n-dimensional variational analysis/gridding of arbitrarily located observations. Observations will be interpolated/analyzed on a curvilinear grid in 1, 2, 3 or more dimensions. In this sense it is a generalization of the original two-dimensional DIVA version (still available here https://github.com/gher-ulg/DIVA but not further developed anymore). The method bears some similarities and equivalences with Optimal Interpolation or Krigging in that it allows to create a smooth and continous field from a collection of observations, observations which can be affected by errors. The analysis method is however different in practise, allowing to take into account topological features, physical constraints etc in a natural way. The method was initially developped with ocean data in mind, but it can be applied to any field where localized observations have to be used to produce gridded fields which are "smooth". See also https://gher-ulg.github.io/DIVAnd-presentation/#1 | ||||
| Technical contact email | please check the record details page | ||||
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http://doi.org/10.5281/zenodo.1407062
DIVA allows the spatial interpolation of data (analysis) in an optimal way, comparable to optimal in ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://doi.org/10.5281/zenodo.1407062 | ||||
| Parent Project URL | http://labos.ulg.ac.be/gher/ | ||||
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| English name | Data-Interpolating Variational Analysis Software | ||||
| Original (non-English) name | |||||
| Acronym | DIVA Software | ||||
| Citation | GHER-Diva, Charles Troupin, Sylvain Watelet, jmbeckers, & Alexander Barth. (2018, August 31). gher-ulg/DIVA: v4.7.2 (Version v4.7.2). Zenodo. http://doi.org/10.5281/zenodo.1407062 | ||||
| Abstract | DIVA allows the spatial interpolation of data (analysis) in an optimal way, comparable to optimal interpolation (OI). In comparison to OI, it takes into account coastlines, sub-basins and advection. Calculations are highly optimized and rely on a finite element resolution. Tools to generate the finite element mesh are provided as well as tools to optimize the parameters of the analysis. Quality control of data can be performed and error fields can be calculated. In addition, detrending of data is possible. Finally 3D and 4D extensions are included with emphasis on direct computations of climatologies from Ocean Data View (ODV) spreadsheet files. | ||||
| Technical contact email | please check the record details page | ||||
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https://seadas.gsfc.nasa.gov/
SeaDAS is a comprehensive software package for the processing, display, analysis, and quality contro ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://seadas.gsfc.nasa.gov/ | ||||
| Parent Project URL | https://earthdata.nasa.gov/eosdis/daacs/obdaac | ||||
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| English name | Data Analysis Software - NASA's Ocean Biology Distributed Active Archive Center | ||||
| Original (non-English) name | |||||
| Acronym | SeaDAS - OB.DAAC | ||||
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| Abstract | SeaDAS is a comprehensive software package for the processing, display, analysis, and quality control of ocean color data. While the primary focus of SeaDAS is ocean color data, it is applicable to many satellite-based earth science data analyses. Originally developed to support the SeaWiFS mission, it now supports most U.S. and international ocean color missions. | ||||
| Technical contact email | please check the record details page | ||||
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https://lpdaac.usgs.gov/tools/data-prep-scripts/
This collection of R and Python scripts can be used to download data and perform basic data processi ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://lpdaac.usgs.gov/tools/data-prep-scripts/ | ||||
| Parent Project URL | https://lpdaac.usgs.gov/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Data Prep Scripts - NASA's Land Processes Distributed Active Archive Center | ||||
| Original (non-English) name | |||||
| Acronym | Data Prep Scripts - LP DAAC | ||||
| Citation | |||||
| Abstract | This collection of R and Python scripts can be used to download data and perform basic data processing functions such as georeferencing, reprojecting, converting, and reformatting data. Scripts are available in Python and/or R and each have a README that provides additional information. All scripts are available for download from the LP DAAC User Resources BitBucket Code Repository. | ||||
| Technical contact email | please check the record details page | ||||
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https://www.geo-seas.eu/content/content.asp?menu=0040000_000000
Geological and geophysical data comprise analytical data and data products which are derived from se ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.geo-seas.eu/content/content.asp?menu=0040000_000000 | ||||
| Parent Project URL | https://www.geo-seas.eu/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Data Products and Services - Geo-Seas | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | Geological and geophysical data comprise analytical data and data products which are derived from seabed sediment samples, boreholes, borehole samples, geophysical surveys (seismic, gravity, magnetic) of the seabed and sub-seabed, cone penetration tests, and sides can sonar surveys. The data, products and services being delivered by the Geo-Seas project can be used by a number of sectors including: environmental research and monitoring; academic research; government; national and regional agencies; dredging; marine hydrocarbons; beach nourishment; land reclamation; sustainable energy; civil engineering (pipelines, offshore construction, aggregates); communications (submarine cables); shipping; fisheries; and tourism. As part of Geo-Seas a number of new data products and services have been developed with input from the user consultation that was conducted early in the project. This included an online user survey, conducted from mid December 2009 to June 2010 to learn more about user requirements, followed up by an in-depth user consultation conducted through one-to-one interviews, either in-person or by telephone, and small focus group meetings. Geo-Seas has developed the following new data products and viewing services, also in crossfertilisation with the on-going SeaDataNet II, One-Geology Europe, EUROFLEETS, EMODNet Geology and EMODNet Hydrography projects: - Digital Terrain Model and 3D viewing software, - Digital Terrain Model and 2D viewing service, - Borehole Viewer software, - Standardization in seabed habitat mapping. In addition, a pilot was undertaken for seismic viewing services. However this pilot is discontinued. Furthermore, OGC standards have been adopted for the distribution and viewing services. These comprise Web Map Services (WMS) and Web Feature Services (WFS), supporting the quick viewing and visualization of data sets and data products. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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https://ghrc.nsstc.nasa.gov/home/data-recipes
Tutorials or step-by-step instructions have been developed by GHRC staff to help you learn to discov ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://ghrc.nsstc.nasa.gov/home/data-recipes | ||||
| Parent Project URL | https://ghrc.nsstc.nasa.gov/home/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Data Recipes - Global Hydrometeorology Resource Center | ||||
| Original (non-English) name | |||||
| Acronym | Data Recipes - GHRC | ||||
| Citation | |||||
| Abstract | Tutorials or step-by-step instructions have been developed by GHRC staff to help you learn to discover, visualize and use new data, information, software and techniques. These recipes cover a variety of datasets and processing languages/software. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
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https://nsidc.org/data/submit/intro
If you are an investigator with data related to the Earth's frozen regions and their role in global ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://nsidc.org/data/submit/intro | ||||
| Parent Project URL | https://nsidc.org/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Data Submission Form - National Snow and Ice Data Center | ||||
| Original (non-English) name | |||||
| Acronym | Data Submission Form - NSIDC | ||||
| Citation | |||||
| Abstract | If you are an investigator with data related to the Earth's frozen regions and their role in global climate, you might consider submitting your data to NSIDC. To this end, we fully credit all data contributors in documentation, metadata, and references, and we encourage data users to formally cite our contributors. We are also willing to hold or restrict data distribution, as appropriate, to address ethical or proprietary considerations or to provide a brief embargo period of exclusive use. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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https://www.deltares.nl/en/software/delft3d-flexible-mesh-suite/
Wind, waves and currents shape our coasts. Climate change and rising sea levels add further to this ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.deltares.nl/en/software/delft3d-flexible-mesh-suite/ | ||||
| Parent Project URL | https://www.deltares.nl/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Delft3D Flexible Mesh Suite | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | Wind, waves and currents shape our coasts. Climate change and rising sea levels add further to this pressure. To enable us to live safely along our shores, we need effective coastal and marine management. Moreover, these coastal processes do not present the only threat. We must also protect ourselves against river and pluvial flooding, while on the other hand we need that water for transport, irrigation, energy, cooling, recreation, environmental protection and as a source of drinking water. Consequently, design and management procedures become more complex and require an integrated approach. In response to this challenge, Deltares has developed a powerful modelling suite called the Delft3D Flexible Mesh Suite, focusing primarily on coastal, estuarine, river, rural and urban environments. The Delft3D Flexible Mesh Suite (Delft3D FM) is the successor of the structured Delft3D 4 Suite. Like Delft3D 4, the Delft3D FM Suite can simulate storm surges, hurricanes, tsunamis, detailed flows and water levels, waves, sediment transport and morphology, water quality and ecology, and is capable of handling the interactions between these processes. The suite is designed for use by domain experts and non-experts alike, which may range from consultants and engineers or contractors, to regulators and government officials, all of whom are active in one or more of the stages of the design, implementation and management cycle. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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https://zenodo.org/record/3769037#.YIrvHXUzahc
This page provides the Jupyter notebooks (examples and exercises) for the DIVAnd user workshops and ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://zenodo.org/record/3769037#.YIrvHXUzahc | ||||
| Parent Project URL | https://gher-ulg.github.io/Diva-Workshops/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | DIVA workshops | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | Charles Troupin, Alexander Barth, jmbeckers, Sylvain Watelet, & Katrin Leinweber. (2020, April 27). gher-ulg/Diva-Workshops: v1.2 (Version v1.2). Zenodo. http://doi.org/10.5281/zenodo.3769037 | ||||
| Abstract | This page provides the Jupyter notebooks (examples and exercises) for the DIVAnd user workshops and training sessions organised in the frame of H2020 SeaDataCloud project. Diva and DIVAnd are software tools designed to generate gridded fields from in-situ observations. Objectives The 1st workshop (Liège, 3-6 April 2018) was focused on the creation of gridded products and climatologies using DIVAnd. The organizational details are available. Within the 2nd SeaDataCloud training course (19-26 June 2019), the objective is to introduce participants to the Julia language, the Jupyter notebooks and the new Virtual Research Environment. The 2nd workshop (Bologna, 27-30 January 2020) was attended by beginners, intermediate and advanced users, and the goal was to help them create new products with DIVAnd. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/DualSPHysics/DesignSPHysics
Module for FreeCAD intended to use with DualSPHysics fluid simulator.
DesignSPHysics is a software ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/DualSPHysics/DesignSPHysics | ||||
| Parent Project URL | https://design.sphysics.org/ | ||||
| ODIS-Arch URL | |||||
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| English name | DualSPHysics | ||||
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| Abstract | Module for FreeCAD intended to use with DualSPHysics fluid simulator. DesignSPHysics is a software module built into FreeCAD that provides a Graphical User Interface for DualSPHysics. It is under development since September 2016 and in Beta stage. Check the Official Webpage for downloads and more information. | ||||
| Technical contact email | please check the record details page | ||||
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http://globec.whoi.edu/software/kriging/easy_krig/easy_krig.html
Kriging is a technique that provides the Best Linear Unbiased Estimator of the unknown fields (Journ ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://globec.whoi.edu/software/kriging/easy_krig/easy_krig.html | ||||
| Parent Project URL | http://globec.whoi.edu/ | ||||
| ODIS-Arch URL | |||||
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| English name | EasyKrig GLOBEC Kriging Software Package | ||||
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| Abstract | Kriging is a technique that provides the Best Linear Unbiased Estimator of the unknown fields (Journel and Huijbregts, 1978; Kitanidis, 1997). It is a local estimator that can provide the interpolation and extrapolation of the originally sparsely sampled data that are assumed to be reasonably characterized by the Intrinsic Statistical Model (ISM). An ISM does not require the quantity of interest to be stationary, i.e. its mean and standard deviation are independent of position, but rather that its covariance function depends on the separation of two data points only. The kriging software described in this document was developed by Dezhang Chu with funding from the National Science Foundation through the U.S. GLOBEC Georges Bank Project's Program Service and Data Management Office. It was originally inspired by a MATLAB toolbox developed by Yves Gratton and Caroline Lafleur (INRS-Oceanologie, Rimouski, Qc, Canada), and Jeff Runge (Institut Maurice-Lamontagne, now with University of New Hampshire). This software may be reproduced for noncommercial purposes only. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/sspagnol/easyplot
Simple oceanographic data viewing based on aodn/imostoolbox.
The aim of easyplot is to deliver a si ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/sspagnol/easyplot | ||||
| Parent Project URL | https://github.com/aodn/imos-toolbox | ||||
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| English name | easyplot package | ||||
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| Abstract | Simple oceanographic data viewing based on aodn/imostoolbox. The aim of easyplot is to deliver a simple to use program to plot and easily compare instrument data for diagnostic purposes. It is utilizes instrument parsers from imos-toolbox (https://github.com/aodn/imos-toolbox) | ||||
| Technical contact email | please check the record details page | ||||
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http://ecopath.org/downloads
Ecopath with Ecosim or EwE is an open-source and freely available food web modelling approach with o ...
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| Submitter/Owner | Jeroen Steenbeek ( OceanExpert : 44147 ) | ||||
| Submitter/Owner Role | Other | ||||
| Datasource URL | http://ecopath.org/downloads | ||||
| Parent Project URL | http://ecopath.org | ||||
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| English name | Ecopath with Ecosim | ||||
| Original (non-English) name | |||||
| Acronym | EwE | ||||
| Citation | Christensen, V., and Walters, C.J. (2004). Ecopath with Ecosim: methods, capabilities and limitations. Ecological Modelling 172, 109–139. Heymans, J.J., Coll, M., Link, J.S., Mackinson, S., Steenbeek, J., and Christensen, V. (2016). Best practice in Ecopath with Ecosim food-web models for ecosystem-based management. Ecological Modelling 331, 173–184. | ||||
| Abstract | Ecopath with Ecosim or EwE is an open-source and freely available food web modelling approach with over 1000 peer-reviewed publications and an estimated 9000 users world-wide. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | Steenbeek, J., Buszowski, J., Christensen, V., Akoglu, E., Aydin, K., Ellis, N., Felinto, D., Guitton, J., Lucey, S., Kearney, K., et al. (2016). Ecopath with Ecosim as a model-building toolbox: Source code capabilities, extensions, and variations. Ecological Modelling 319, 178–189. | ||||
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| Spatial Coverage | Case-study dependent | ||||
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http://www.fao.org/fishery/eaf-net/en
The EAFnet has been developed to facilitate access to the information and resources that are availab ...
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| Submitter/Owner | Mr. Marc Taconet ( OceanExpert : 16546 ) | ||||
| Submitter/Owner Role | FAO | ||||
| Datasource URL | http://www.fao.org/fishery/eaf-net/en | ||||
| Parent Project URL | http://www.fao.org/fishery/activities/en | ||||
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| English name | Ecosystem Approach to Fisheries Application - FAO | ||||
| Original (non-English) name | |||||
| Acronym | EAFnet - FAO | ||||
| Citation | |||||
| Abstract | The EAFnet has been developed to facilitate access to the information and resources that are available at FAO on the application of the Ecosystem Approach to Fisheries (EAF). This includes background information about EAF, the EAF toolbox to assist with EAF management planning and implementation, plus links to all the various EAF projects being undertaken by FAO. The Ecosystem Approach to Fisheries (EAF) has been adopted by the FAO Committee on Fisheries (COFI) as the appropriate and practical way to fully implement the Code of Conduct for Responsible Fisheries. EAF is a risk based management planning process that covers the principles of Sustainable Development including the human and social elements of sustainability, not just the ecological and environmental components. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | FIGIS | ||||
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https://ogsl.ca/archive/?lg=en
In 2009 Québec-Océan (QO) and ISMER with help from the Maurice-Lamontagne Institute (Fisheries and ...
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| Submitter/Owner | Ms. Anne-Sophie Ste-Marie ( OceanExpert : 36559 ) | ||||
| Submitter/Owner Role | Other | ||||
| Datasource URL | https://ogsl.ca/archive/?lg=en | ||||
| Parent Project URL | https://ogsl.ca/en/ | ||||
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| English name | Environmental Data Archives - St. Lawrence Global Observatory | ||||
| Original (non-English) name | Archives de données environnementales - Observatoire Global du Saint-Laurent | ||||
| Acronym | Environmental Data Archives - SLGO | ||||
| Citation | Institut des sciences de la mer (ISMER). (YEAR(s) of the downloaded data set). Database of Environmental Data Management System (EDMS). Data Published on St. Lawrence Global Observatory's-SLGO portal [https://slgo.ca/]. Access date: [YYYY-MM-DD]. | ||||
| Abstract | In 2009 Québec-Océan (QO) and ISMER with help from the Maurice-Lamontagne Institute (Fisheries and Oceans Canada) launched an Oceanographic Data Management System (ODMS) inspired by the latter's in house database. The ODMS then evolved into the Environmental Data Management System (EDMS) so as to extend perennially and security to all types of environmental scientific data collections. In parallel, data management policies were defined by QO and ISMER to better support data archiving and dissemination. A user-friendly web portal was also developed in collaboration with the MLI and the St. Lawrence Global Observatory (SLGO) in order to provide easy data access to the scientific community, government officials, non-governmental organisations and to the general public. Currently, the ISMER-EDMS is mostly used to archive hydrographic data: Salinity, temperature and pressure from CTD casts (Conductivity Temperature Depth). Visibility, fluorescence and turbidity respectively obtained from transmissometer, fluorometer and turbidity probes which can be coupled to CTD. Water current velocities measured by an Acoustic Doppler Current Profiler (ADCP). While these archived data collections are associated with fixed instruments it is also possible to integrate data collected from towed or onboard instruments. EDMS's data model is flexible enough to allow archiving of any environmental data type: plankton counts, chemical analysis results, etc. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/NOAA-EMC
We develop numerical forecast systems and enhance numerical forecasts through numerical computationa ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/NOAA-EMC | ||||
| Parent Project URL | http://www.emc.ncep.noaa.gov/ | ||||
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| English name | Environmental Modeling Center Code Repository - NOAA | ||||
| Original (non-English) name | |||||
| Acronym | EMC Code Repository - NOAA | ||||
| Citation | |||||
| Abstract | We develop numerical forecast systems and enhance numerical forecasts through numerical computational technology and data assimilation techniques. | ||||
| Technical contact email | please check the record details page | ||||
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https://cran.r-project.org/web/views/Environmetrics.html
R to analyse ecological and environmental data.
The base version of R ships with a wide range of ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://cran.r-project.org/web/views/Environmetrics.html | ||||
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| English name | environmetrics package | ||||
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| Abstract | R to analyse ecological and environmental data. The base version of R ships with a wide range of functions for use within the field of environmetrics. This functionality is complemented by a plethora of packages available via CRAN, which provide specialist methods such as ordination & cluster analysis techniques. A brief overview of the available packages is provided in this Task View, grouped by topic or type of analysis. As a testament to the popularity of R for the analysis of environmental and ecological data, a special volume of the Journal of Statistical Software was produced in 2007. Those useRs interested in environmetrics should consult the Spatial view. Complementary information is also available in the Multivariate, Phylogenetics, Cluster, and SpatioTemporal task views. If you have any comments or suggestions for additions or improvements, then please contact the maintainer . A list of available packages and functions is presented below, grouped by analysis type. | ||||
| Technical contact email | please check the record details page | ||||
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https://www.ecmwf.int/en/computing/software
The following software packages are available from ECMWF's collaborative website. Member and Co-oper ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.ecmwf.int/en/computing/software | ||||
| Parent Project URL | https://www.ecmwf.int/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | European Centre for Medium-Range Weather Forecasts software repository | ||||
| Original (non-English) name | |||||
| Acronym | ECMWF software repository | ||||
| Citation | |||||
| Abstract | The following software packages are available from ECMWF's collaborative website. Member and Co-operating States' national meteorological services should first check with Software Services for availability of additional software. | ||||
| Technical contact email | please check the record details page | ||||
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http://150.145.136.27:8080/thredds/HF_RADAR/HFradar_catalog.html
High Frequency Radar (HFR) is the unique land-based remote sensing technology that allows the mappin ...
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| Submitter/Owner | PhD Lorenzo Paolo Corgnati ( OceanExpert : 38834 ) | ||||
| Submitter/Owner Role | GOOS associated institution/project | ||||
| Datasource URL | http://150.145.136.27:8080/thredds/HF_RADAR/HFradar_catalog.html | ||||
| Parent Project URL | http://eurogoos.eu/high-frequency-radar-task-team/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | European High Frequency Radar Node Data Catalogue | ||||
| Original (non-English) name | European High Frequency Radar Node Data Catalogue | ||||
| Acronym | EU HFR NODE | ||||
| Citation | The data set consists of maps of radial and total velocity of the sea water surface current gathered by the European HFR Network Node established under the coordination of the EuroGOOS HF Radar Task Team. The network nodes are both HF and X-band radars, covering wide areas with different spatial and temporal resolutions. The network has the potential to provide real-time information of the velocity of surface currents and wave parameters. The radar sites are operated according to Quality Assessment procedures and data are processed for Quality Control. Data access tools are compliant to Open Geospatial Consortium (OGC), Climate and Forecast (CF) convention and INSPIRE directive. The use of netCDF format allows an easy implementation of all the open source services developed by UNIDATA. | ||||
| Abstract | High Frequency Radar (HFR) is the unique land-based remote sensing technology that allows the mapping of ocean surface currents over wide areas with high spatial and temporal resolution. HFR products are applied in many sectors such as research in coastal oceanography and marine environment, safety, coastal management, fish- ery, navigation and renewable energy. Furthermore, it is expected that HFR data will be systematically ingested in Data Assimilation processes necessary for predictive model adjustment. HFR technology is rapidly expanding in Europe (at a rate of 7 new systems per year since 2016), with over 62 HFR sites currently operating and a number in the planning stage. The coordinated development of coastal HFR technology and its products is essential to ensure that the potential of HFRs is fully exploited in the development of the European operational oceanography. The EuroGOOS HFR Task Team is leading, with the support of the European Marine Observation and Data Network (EMODnet), many ongoing initiatives aiming at promoting the HFR technology in Europe. These efforts brought to the the inclusion of HFR data into the major European platforms for marine data distribution, which are: Copernicus Marine Environment Monitoring Service In Situ Thematyic Assembly Center (CMEMS-INSTAC), SeaDataCloud (SDC) and EMODnet Physics. Building on these achievements, the European HFR Node was established as the infrastructure to drive the needed steps to reach the added-value of a coordinated network like: central archiving, homogenized protocols for data distribution, development of standards for quality assurance, control and data structures. The European platforms for marine data distribution operate through a decentralized architecture based on National Oceanographic Data Centers (NODC), Production Units (PUs) organized by region for the global ocean and the six European seas and a Global Distribution Unit (DU). The European HFR Node acts as the focal point for the European HFR data providers toward this decentralized structure, since it implements the HFR data stream from the data providers to the distribution platforms. The European HFR Node is founded on a simple and very effective rule: if the data provider can set up the data flow according to the defined standards, the node only checks and includes the new catalogue and data stream. If the data centre cannot setup the data flow, the HFR Node harvests the raw data from the provider, harmonizes, quality-controls and formats these data and makes them available. The strength and flexibility of this solution reside in the architecture of the European HFR node, that is based on a centralized database, fed both by the operators via a webform and by the software routines running on the node, containing updated metadata of the HFR networks and the needed information for processing/archiving the data. A set of shared software tools uses all those information for processing native HFR data for QC and converting them to the standard format for distribution. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | The data set consists of maps of radial and total velocity of the sea water surface current gathered by the European HFR Network Node established under the coordination of the EuroGOOS HF Radar Task Team. The network nodes are both HF and X-band radars, covering wide areas with different spatial and temporal resolutions. The network has the potential to provide real-time information of the velocity of surface currents and wave parameters. The radar sites are operated according to Quality Assessment procedures and data are processed for Quality Control. Data access tools are compliant to Open Geospatial Consortium (OGC), Climate and Forecast (CF) convention and INSPIRE directive. The use of netCDF format allows an easy implementation of all the open source services developed by UNIDATA. | ||||
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| Spatial Coverage | Europe | ||||
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https://github.com/jamesorr/fastspline
Fast smoothing spline routine in Fortran 90 usable in python
A Matlab script (Weinert, 2009) was ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/jamesorr/fastspline | ||||
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| English name | fastspline package | ||||
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| Abstract | Fast smoothing spline routine in Fortran 90 usable in python A Matlab script (Weinert, 2009) was converted to Fortran 90 for improved computational speed. The arguments are identical in both the Fotran 90 and Matlab routines. | ||||
| Technical contact email | please check the record details page | ||||
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http://doi.org/10.5281/zenodo.4073123
Functional Data Analysis of oceanographic profiles.
Functional Data Analysis is a set of tools to s ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://doi.org/10.5281/zenodo.4073123 | ||||
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| English name | fda.oceM package | ||||
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| Citation | Etienne Pauthenet, David Nerini, & Fabien Roquet. (2020, October 8). Functional Data Analysis of hydrographic profiles (Version v1.0.0). Zenodo. http://doi.org/10.5281/zenodo.4073123 | ||||
| Abstract | Functional Data Analysis of oceanographic profiles. Functional Data Analysis is a set of tools to study curves or functions. Here we see vertical hydrographic profiles of several variables (temperature, salinity, oxygen,...) as curves and apply a functional principal component analysis (FPCA) in the multivaraite case to reduce the dimensionality of the system. The classical case is done with couples of temperature and salinity. It can be used for front detection, water mass identification, unsupervised or supervised classification, model comparison, data calibration, etc. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/ctroupin/Filament-Submesoscale
Python tools to read and process oceanographic data related to upwelling filaments
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/ctroupin/Filament-Submesoscale | ||||
| Parent Project URL | http://labos.ulg.ac.be/gher/ | ||||
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| English name | Filament-Submesoscale package | ||||
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| Abstract | Python tools to read and process oceanographic data related to upwelling filaments | ||||
| Technical contact email | please check the record details page | ||||
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https://noaa-fisheries-integrated-toolbox.github.io/
The NOAA Fisheries Integrated Toolbox (NOAA FIT) is an interdisciplinary, web-based portal of operat ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://noaa-fisheries-integrated-toolbox.github.io/ | ||||
| Parent Project URL | https://www.fisheries.noaa.gov/ | ||||
| ODIS-Arch URL | |||||
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| English name | Fisheries Integrated Toolbox - NOAA | ||||
| Original (non-English) name | |||||
| Acronym | FIT - NOAA | ||||
| Citation | |||||
| Abstract | The NOAA Fisheries Integrated Toolbox (NOAA FIT) is an interdisciplinary, web-based portal of operational tools that can be used for a variety of applications, including stock assessment modeling, forecasting, and data preparation for fish and protected species, as well as economic and ecosystem modeling. This web portal facilitates easier sharing and comparison of analytical tools (including ensemble modeling, model averaging, model coupling, and shared visualization). The NOAA FIT hosts a variety of operational tools developed by NOAA scientists and programmers, as well as those developed in collaboration with, and exclusively by external developers. The NOAA FIT is maintained by the National Modeling Team in NOAA Fisheries Office of Science and Technology. The National Modeling Team supports scientists, developers, and users to facilitate accessibility and efficient usage of software and tools. The NOAA FIT also provides resources for developers and users of the tools to ensure best practices and ease of use. | ||||
| Technical contact email | please check the record details page | ||||
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http://www.fao.org/fishery/statistics/en
The FAO Fisheries Division (NFI) provides advice and objective information to Members to help promot ...
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| Submitter/Owner | Mr. Marc Taconet ( OceanExpert : 16546 ) | ||||
| Submitter/Owner Role | FAO | ||||
| Datasource URL | http://www.fao.org/fishery/statistics/en | ||||
| Parent Project URL | http://www.fao.org/fishery/activities/en | ||||
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| English name | Fishery Statistics Programme - FAO Fisheries Division | ||||
| Original (non-English) name | |||||
| Acronym | FISHSTAT - NFI | ||||
| Citation | |||||
| Abstract | The FAO Fisheries Division (NFI) provides advice and objective information to Members to help promote responsible aquaculture and fisheries. To fulfil this role, the Division compiles, analyses and disseminates fishery and aquaculture data, structured within data collections. To ensure quality assurance, each collection is documented to highlight definitions and to specify the structure, sources, coverage, processes, intended use, etc. This is further complemented with the CWP Handbook of Fisheries Statistics, which includes comprehensive definitions of concepts and details of standard classifications. Global time series have been maintained over more than 60 years. To meet diverse user needs, data from each statistical collection are available through various formats, tools and information products. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | FIGIS. How to access the data: 1) FishStatJ - Software for fishery statistical time series offers experts and scientists a stand-alone application for complex and sophisticated data exploration and extraction. 2) Online Query Panels enable advanced users to extract customized information and reports. 3) FAO Yearbook of Fishery and Aquaculture Statistics provide a full range of tables with detailed statistics. | ||||
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https://zenodo.org/record/3533256#.YIGMp3UzZhE
Adding stock-recruit parameter estimates based on stock-recruit records from the RAM Legacy stock-re ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://zenodo.org/record/3533256#.YIGMp3UzZhE | ||||
| Parent Project URL | https://www.noaa.gov/ | ||||
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| English name | FishLife package | ||||
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| Abstract | Adding stock-recruit parameter estimates based on stock-recruit records from the RAM Legacy stock-recruit database. The addition of stock-recruit parameters completes the full life-cycle for fishes, and then allows population-dynamics parameters (generation time, intrinsic growth rate) to be calculated. | ||||
| Technical contact email | please check the record details page | ||||
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https://www.flexpart.eu/
FLEXPART (“FLEXible PARTicle dispersion model”) is a Lagrangian transport and dispersion model s ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.flexpart.eu/ | ||||
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| English name | FLEXible PARTicle Dispersion model | ||||
| Original (non-English) name | |||||
| Acronym | FLEXPART Dispersion Model | ||||
| Citation | |||||
| Abstract | FLEXPART (“FLEXible PARTicle dispersion model”) is a Lagrangian transport and dispersion model suitable for the simulation of a large range of atmospheric transport processes. Apart from transport and turbulent diffusion, it is able to simulate dry and wet deposition, decay, linear chemistry; it can be used in forward or backward mode, with defined sources or in a domain-filling setting. It can be used from local to global scale. FLEXPART is a further development of its predecessor FLEXTRA (“FLEXible TRAjectory model”). Both FLEXTRA and FLEXPART have been open source models since the beginning and, over time have found a large international user community. | ||||
| Technical contact email | please check the record details page | ||||
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http://www.oceanflux-ghg.org/Products/FluxEngine
The FluxEngine is an open-source software toolbox for calculating atmosphere-ocean gas fluxes. The t ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://www.oceanflux-ghg.org/Products/FluxEngine | ||||
| Parent Project URL | http://www.oceanflux-ghg.org/ | ||||
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| English name | Flux Engine | ||||
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| Citation | Shutler JD, Land PE, Piolle J-F, Woolf DK, Goddijn-Murphy L, Paul F, Girard-Ardhuin F, Chapron B, Donlon CJ (2016), FluxEngine: a flexible processing system for calculating atmosphere-ocean carbon dioxide gas fluxes and climatologies, Journal of Atmospheric and Oceanic Technology, doi: 10.1175/JTECH-D-14-00204.1 | ||||
| Abstract | The FluxEngine is an open-source software toolbox for calculating atmosphere-ocean gas fluxes. The toolbox allows users to easily generate global and regional air-sea carbon dioxide flux data from model, in situ and Earth Observation data, and its air-sea gas flux calculation is user configurable. Whilst devloped for carbon dioxide, much of the toolbox is applicable to other gases ans the open-source nature of the toolbox enables it to be easily extended. Please note that the FluxEngine is a beta version and see the disclaimer at the bottom of this page. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/pnuu/fmiopendata
Python interface for FMI open data
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/pnuu/fmiopendata | ||||
| Parent Project URL | https://en.ilmatieteenlaitos.fi/open-data | ||||
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| English name | fmiopendata - Finnish Meteorological Institute | ||||
| Original (non-English) name | |||||
| Acronym | fmiopendata - FMI | ||||
| Citation | |||||
| Abstract | Python interface for FMI open data | ||||
| Technical contact email | please check the record details page | ||||
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https://fengyanshi.github.io/build/html/index.html
FUNWAVE–TVD is the Total Variation Diminishing (TVD) version of the fully nonlinear Boussinesq wav ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://fengyanshi.github.io/build/html/index.html | ||||
| Parent Project URL | https://coastal.udel.edu/ | ||||
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| English name | FUNWAVE Model | ||||
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| Abstract | FUNWAVE–TVD is the Total Variation Diminishing (TVD) version of the fully nonlinear Boussinesq wave model (FUNWAVE) developed by Shi et al. (2012). The FUNWAVE model was initially developed by Kirby et al. (1998) based on Wei et al. (1995). The development of the present version was motivated by recent needs for modeling of surfzone–scale optical properties in a Boussinesq model framework, and modeling of Tsunami waves in both a global/coastal scale for prediction of coastal inundation and a basin scale for wave propagation. | ||||
| Technical contact email | please check the record details page | ||||
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http://fvcom.smast.umassd.edu/fvcom/
The Unstructured Grid Finite Volume Community Ocean Model (FVCOM) is a prognostic, unstructured-grid ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://fvcom.smast.umassd.edu/fvcom/ | ||||
| Parent Project URL | https://www.umassd.edu/smast/ | ||||
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| English name | FVCOM Model | ||||
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| Abstract | The Unstructured Grid Finite Volume Community Ocean Model (FVCOM) is a prognostic, unstructured-grid, finite-volume, free-surface, 3-D primitive equation coastal ocean circulation model developed by UMASSD-WHOI joint efforts. The model consists of momentum, continuity, temperature, salinity and density equations and is closed physically and mathematically using turbulence closure submodels. The horizontal grid is comprised of unstructured triangular cells and the irregular bottom is preseented using generalized terrain-following coordinates. The General Ocean Turbulent Model (GOTM) developed by Burchard’s research group in Germany (Burchard, 2002) has been added to FVCOM to provide optional vertical turbulent closure schemes. FVCOM is solved numerically by a second-order accurate discrete flux calculation in the integral form of the governing equations over an unstructured triangular grid. This approach combines the best features of finite-element methods (grid flexibility) and finite-difference methods (numerical efficiency and code simplicity) and provides a much better numerical representation of both local and global momentum, mass, salt, heat, and tracer conservation. The ability of FVCOM to accurately solve scalar conservation equations in addition to the topological flexibility provided by unstructured meshes and the simplicity of the coding structure has make FVCOM ideally suited for many coastal and interdisciplinary scientific applications. FVCOM was originally developed for the estuarine flooding/drying process in estuaries and the tidal-, buoyancy- and wind-driven circulation in the coastal region featured with complex irregular geometry and steep bottom topography. This model has been upgraded to the spherical coordinate system for basin and global applications. A non-hydrostatic version of FVCOM has been coded and is being tested. | ||||
| Technical contact email | please check the record details page | ||||
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https://i-marine.d4science.org/group/imarine-gateway
Access to the services and VREs operated by both the BlueBRIDGE consortium and the iMarine initiativ ...
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| Submitter/Owner | Mr. Marc Taconet ( OceanExpert : 16546 ) | ||||
| Submitter/Owner Role | FAO | ||||
| Datasource URL | https://i-marine.d4science.org/group/imarine-gateway | ||||
| Parent Project URL | https://www.d4science.org/ | ||||
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| English name | Gateway - iMarine | ||||
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| Abstract | Access to the services and VREs operated by both the BlueBRIDGE consortium and the iMarine initiative to serve cases ranging from stock assessment to aquaculture atlas generation, strategic investment and scientific training. Datasets include species distribution maps, environmental data, and area regulation zones. All the products are accompanied with rich descriptions capturing general attributes, e.g. title and creator(s), as well as usage policies and licences. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | iMarine.D4Science | ||||
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http://incod.inio.ac.ir/Products/Geo-Point-Plotter
This tool has been developed to plot points on the map.
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| Submitter/Owner | Mrs. Farnaz Ghiasi ( OceanExpert : 26554 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://incod.inio.ac.ir/Products/Geo-Point-Plotter | ||||
| Parent Project URL | http://incod.inio.ac.ir/index.html | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Geo Point Plotter tool - Iranian National Center for Ocean Data | ||||
| Original (non-English) name | |||||
| Acronym | Geo Point Plotter tool - INCOD | ||||
| Citation | |||||
| Abstract | This tool has been developed to plot points on the map. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
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https://github.com/callumrollo/geotiff-generator
A python script to generate a geotiff image from bathymetry data. This geotiff can be uploaded to pi ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/callumrollo/geotiff-generator | ||||
| Parent Project URL | |||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | geotiff-generator package | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | A python script to generate a geotiff image from bathymetry data. This geotiff can be uploaded to piloting software tools to give an idea of the depth of water. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
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https://github.com/MikkoVihtakari/ggOceanMapsData
This is a spatial data repository package for the ggOceanMaps R package. The package provides low-re ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/MikkoVihtakari/ggOceanMapsData | ||||
| Parent Project URL | https://www.hi.no/en/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | ggOceanMapsData package - Institute of Marine Research Norway | ||||
| Original (non-English) name | |||||
| Acronym | ggOceanMapsData - IMR | ||||
| Citation | |||||
| Abstract | This is a spatial data repository package for the ggOceanMaps R package. The package provides low-resolution shapefiles required by ggOceanMaps. These shapefiles are placed in a separate package due to CRAN Repository Policy. Please see the ggOceanMaps documentation for further information. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
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https://zenodo.org/record/4554715#.YIGQx3UzZhE
The ggOceanMaps package for R allows plotting data on bathymetric maps using ggplot2. The package is ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://zenodo.org/record/4554715#.YIGQx3UzZhE | ||||
| Parent Project URL | https://www.hi.no/en | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | ggOceanMaps package - Institute of Marine Research Norway | ||||
| Original (non-English) name | |||||
| Acronym | ggOceanMaps - IMR | ||||
| Citation | |||||
| Abstract | The ggOceanMaps package for R allows plotting data on bathymetric maps using ggplot2. The package is designed for ocean sciences and greatly simplifies bathymetric map plotting anywhere around the globe. ggOceanMaps uses openly available geographic data. Citing the particular data sources is advised by the CC-BY licenses whenever maps from the package are published (see the Citations and data sources section). The ggOceanMaps package has been developed by the Institute of Marine Research. Note that the package comes with absolutely no warranty and that maps generated by the package are meant for plotting scientific data only. The maps are coarse generalizations of third party data and therefore inaccurate. Any bug reports and code fixes are warmly welcomed. See Contributions for further details. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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https://github.com/TEOS-10/GibbsSeaWater.jl
GibbsSeaWater.jl is a Julia wrapper for GSW-C#master, which is the C implementation of the Thermodyn ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/TEOS-10/GibbsSeaWater.jl | ||||
| Parent Project URL | http://labos.ulg.ac.be/gher/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | GibbsSeaWater.jl | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | GibbsSeaWater.jl is a Julia wrapper for GSW-C#master, which is the C implementation of the Thermodynamic Equation of Seawater 2010 (TEOS-10). | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
| Interface Languages | |||||
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https://www.seanoe.org/data/00592/70460/
GLOBE (GLobal Oceanographic Bathymetry Explorer) is an innovative application for processing and dis ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.seanoe.org/data/00592/70460/ | ||||
| Parent Project URL | https://www.flotteoceanographique.fr | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Global Oceanographic Bathymetry Explorer Software | ||||
| Original (non-English) name | |||||
| Acronym | Globe Software | ||||
| Citation | Poncelet Cyrille, Billant Gael, Corre Marie-Paule (2021). Globe (GLobal Oceanographic Bathymetry Explorer) Software. SEANOE. https://doi.org/10.17882/70460 | ||||
| Abstract | GLOBE (GLobal Oceanographic Bathymetry Explorer) is an innovative application for processing and displaying oceanographic data. GLOBE offers processing and display solutions of multi-sensor data within a single 3D environment represented as a globe. Currently the software is mainly used for processing, analysing and displaying acoustic data, as well as moving tectonic plates. Developed in Java, GLOBE is a multiplatform application (Windows, Linux, Mac for PLACA) whose architecture allows users to develop and add with ease new modules for processing and visualizing data. More detailled description and installation procedure can be found on Ifremer's fleet site https://www.flotteoceanographique.fr Globe source code is available on Ifremer's gitlab repository https://gitlab.ifremer.fr/fleet/globe | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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https://github.com/TEOS-10/GSW-documentation
Gibbs-SeaWater (GSW) Oceanographic Toolbox help pages in html, and associated pdf files.
Gibbs-SeaW ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/TEOS-10/GSW-documentation | ||||
| Parent Project URL | http://www.TEOS-10.org/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | GSW-documentation | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | Gibbs-SeaWater (GSW) Oceanographic Toolbox help pages in html, and associated pdf files. Gibbs-SeaWater (GSW) Oceanographic Toolbox in Matlab - Help pages and pdf files only !!!! This is a work in progress repository. It is intended to be a method of assisting those who are translating the code into their prefered language. Do not download this code and treat it as an distributed release of the GSW code - it is not under any circumstance. The ONLY location to download software is from the TEOS-10 website http://www.TEOS-10.org/. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
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https://github.com/TEOS-10/GSW-Fortran
This is a subset of functions contained in the Gibbs SeaWater (GSW)
Oceanographic Toolbox of TEOS- ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/TEOS-10/GSW-Fortran | ||||
| Parent Project URL | http://www.teos-10.org/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | GSW-Fortran package | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | This is a subset of functions contained in the Gibbs SeaWater (GSW) Oceanographic Toolbox of TEOS-10. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
| Interface Languages | |||||
| Contributing Countries | |||||
| Countries owning the source | |||||
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https://github.com/TEOS-10/GSW-Matlab
Gibbs-SeaWater (GSW) Oceanographic Toolbox in Matlab - Code only !!!
This is a work in progress r ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/TEOS-10/GSW-Matlab | ||||
| Parent Project URL | http://www.TEOS-10.org/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | GSW-Matlab package | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | Gibbs-SeaWater (GSW) Oceanographic Toolbox in Matlab - Code only !!! This is a work in progress repository, thie files contained in this repository are only the code file (.m files) contained in GSW(Matlab). It is intended to be a method of assisting those who are translating the code into their prefered language. Do not download this code and treat it as an distributed release of the GSW code - it is not under any circumstance. The ONLY location to download software is from the TEOS-10 website http://www.TEOS-10.org/ | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
| Interface Languages | |||||
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| Countries owning the source | |||||
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https://pypi.org/project/gsw/
This Python implementation of the Thermodynamic Equation of Seawater 2010 (TEOS-10) is based primari ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://pypi.org/project/gsw/ | ||||
| Parent Project URL | https://teos-10.github.io/GSW-Python/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | GSW python package | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | This Python implementation of the Thermodynamic Equation of Seawater 2010 (TEOS-10) is based primarily on numpy ufunc wrappers of the GSW-C implementation. We expect it to replace the original python-gsw pure-python implementation after a brief overlap period. The primary reasons for this change are that by building on the C implementation we reduce code duplication and we gain an immediate update to the 75-term equation. Additional benefits include a major increase in speed, a reduction in memory usage, and the inclusion of more functions. The penalty is that a C (or MSVC C++ for Windows) compiler is required to build the package from source. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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https://support.hdfgroup.org/products/java/hdfview/
HDFView is a visual tool for browsing and editing HDF4 and HDF5 files. Using HDFView, you can view a ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://support.hdfgroup.org/products/java/hdfview/ | ||||
| Parent Project URL | https://www.hdfgroup.org/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | HDF View | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | HDFView is a visual tool for browsing and editing HDF4 and HDF5 files. Using HDFView, you can view a file hierarchy in a tree structure create new files, add or delete groups and datasets view and modify the content of a dataset add, delete and modify attributes. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
| Interface Languages | |||||
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http://www.whoi.edu/science/PO/hydrobase/php/index.php
HydroBase3 is a tool for climatological analysis of oceanographic properties. The package is compris ...
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| Submitter/Owner | Peter H. Pissierssens ( OceanExpert : 36337 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://www.whoi.edu/science/PO/hydrobase/php/index.php | ||||
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| English name | HydroBase3 | ||||
| Original (non-English) name | |||||
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| Citation | |||||
| Abstract | HydroBase3 is a tool for climatological analysis of oceanographic properties. The package is comprised of software and database products that together provide a flexible means of constructing and analyzing datasets customized to investigators' research needs. A graphical user interface has been built to enable running HydroBase3 within a Matlab environment. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
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https://www.hydroffice.org/
HydrOffice represents an open-source collaborative effort led by the Center for Coastal and Ocean Ma ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.hydroffice.org/ | ||||
| Parent Project URL | https://www.hydroffice.org/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | HydrOffice package | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | HydrOffice represents an open-source collaborative effort led by the Center for Coastal and Ocean Mapping to develop a research software environment with applications to facilitate all phases of the ping-to-chart process: facilitate data acquisition, automate and enhance data processing, and improve hydrographic products. The environment, by minimizing the efforts to kick-start and by easing the configuration management, facilitates the creation of new tools for researcher, students and in the field; and, potentially, it eases the industrialization of some of these tools. The overall goal is thus to speed up both algorithms testing and Research-to-Operation (R2O). HydrOffice’s wide scope is structured in three research themes: Facilitate Data Acquisition. Automate and Enhance Data Processing. Improve Hydrographic Products. These themes drive the creation of a collection of hydro-packages, each of them dealing with a specific issue of the field. HydrOffice has open licenses and encourages free contribution, and can facilitate development with an existing infrastructure and interface. Individual tools within HydrOffice are built in contained, modularized structures, such that they can be easily updated and maintained. One of the main HydrOffice requirement is easiness in its extension. This goal is achieved by natively supporting a plugin architecture: Base packages provide with common boiler-plate code. Several hydro-packages where each one ship a few task-specific algorithms and can access common code from the base packages. Furthermore, a skeleton package is provided with a base GUI to speed up and to ease the focus on the targeted weakness. Finally, the individual tools in HydrOffice are usually also provided as “frozen”, standalone, click-and-play solutions that require no installation on behalf of the user. All of the HydrOffice applications are made available within Pydro (a suite of software tools used to support hydrography developed and maintained by NOAA Office of Coast Survey's Hydrographic Systems and Technology Branch), to support NOAA operations (aiding Office of Coast Survey fleet). Pydro is also made available for public use. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
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https://github.com/cchdo/hydro
The new libcchdo based on xarray/panda
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/cchdo/hydro | ||||
| Parent Project URL | https://hydro.readthedocs.io/en/latest/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | hydro package | ||||
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| Acronym | |||||
| Citation | |||||
| Abstract | The new libcchdo based on xarray/panda | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
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| Countries owning the source | |||||
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https://zenodo.org/record/4045184#.YIuCbHUzahd
Surface gravity waves play a major role in the exchange of momentum, heat, energy, and gases between ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://zenodo.org/record/4045184#.YIuCbHUzahd | ||||
| Parent Project URL | https://swot.jpl.nasa.gov/ | ||||
| ODIS-Arch URL | |||||
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| English name | IdealizedWaveCurrent | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | Villas Bôas, Ana B. (2020, September 23). Source code for: 'Wave-Current Interactions at Meso and Submesoscales: Insights from Idealized Numerical Simulations' (Version v0.1). Zenodo. http://doi.org/10.5281/zenodo.4045184 | ||||
| Abstract | Surface gravity waves play a major role in the exchange of momentum, heat, energy, and gases between the ocean and the atmosphere. The interaction between currents and waves can lead to variations in the wave direction, frequency, and amplitude. In the present work, we use an ensemble of synthetic currents to force the wave model WAVEWATCH III and assess the relative impact of current divergence and vorticity in modifying several properties of the waves, including direction, period, directional spreading, and significant wave height (Hs). We find that the spatial variability of Hs is highly sensitive to the nature of the underlying current and that refraction-caused vorticity in the rotational component of the flow is the main mechanism leading to gradients of Hs. The results obtained using synthetic currents were used to interpret the response of surface waves to realistic currents by running an additional set of simulations using the llc4320 MITgcm output in the California Current region. Our findings suggest that wave parameters could be used to detect and characterize strong gradients in the velocity field, which is particularly relevant for the Surface Water and Ocean Topography (SWOT) satellite as well as several proposed satellite missions. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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https://github.com/aodn/imos-toolbox/wiki
The IMOS Toolbox aims at converting oceanographic instrument files into quality-controlled IMOS comp ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/aodn/imos-toolbox/wiki | ||||
| Parent Project URL | https://imos.org.au/ | ||||
| ODIS-Arch URL | |||||
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| English name | IMOS toolbox | ||||
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| Abstract | The IMOS Toolbox aims at converting oceanographic instrument files into quality-controlled IMOS compliant NetCDF files. The toolbox process instruments deployed on moorings (time series) or during casts (profiles). The processing, including quality control (QC) of several oceanographic variables, can be done in batch mode or interactive. Finally, the package allows deployment metadata to be ingested into the files from any JDBC supported database (including MS-access), CSV files, or added manually through a graphical user interface (GUI). Manual QC is also possible. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/aodn/imos-user-code-library
IMOS (Integrated Marine Observing System, http://imos.org.au/) is designed to be a fully integrated ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/aodn/imos-user-code-library | ||||
| Parent Project URL | https://imos.org.au/ | ||||
| ODIS-Arch URL | |||||
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| English name | imos user code library | ||||
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| Abstract | IMOS (Integrated Marine Observing System, http://imos.org.au/) is designed to be a fully integrated national array of observing equipments monitoring the open oceans and coastal marine environment around Australia, covering physical, chemical and biological variables. All IMOS data is freely and openly available through the IMOS Ocean Portal for the benefit of Australian marine and climate science as a whole. Most of the IMOS data is stored as NetCDF files (see http://www.unidata.ucar.edu for more information regarding NetCDF). Some IMOS data users are not familiar with the netCDF format. A wide range of tools is already available online to help NetCDF users, but there is also a need for users who don't know where to start to include NetCDF files in their workflow. The purpose of the IMOS user code library is to provide a ready to go code solution to incorporate data from NetCDF files in their working environment, starting with a NetCDF parser. Please visit the wiki page to see examples on how to use this User Code Library: https://github.com/aodn/imos-user-code-library/wiki | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/OceanOptics/Inlinino
Inlinino is an open-source software data logger for oceanographers. It primarily log measurements fr ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/OceanOptics/Inlinino | ||||
| Parent Project URL | https://inlinino.readthedocs.io/en/latest/ | ||||
| ODIS-Arch URL | |||||
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| English name | Inlinino package | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | Haentjens, N. and Boss, E., 2020. Inlinino: A Modular Software Data Logger for Oceanography. DIY Oceanography. DOI: 10.5670/oceanog.2020.112 | ||||
| Abstract | Inlinino is an open-source software data logger for oceanographers. It primarily log measurements from optical instruments deployed on research vessels during month long campaigns. Secondarily, it provides real-time visualization, which helps users troubleshoot instruments in the field and ensure collection of quality data. Inlinino is designed to interface with either serial (RS-232) or analog instruments. The data received is logged in a timestamped raw format (as communicated by the instrument) or in a comma separated file (csv) for easy importation in data analysis software. Typically, a new log file is created every hour for simplicity of post-processing and easy backups. Instruments supported are: SeaBird TSG, Satlantic PAR, WET Labs ECO sensors (e.g. ECO-BB3, ECO-FLBBCD, ECO-BBFL2, ECO-3X1M, ECO-BB9, ECO-BBRT), WET Labs ACS, Sequoia LISST, and analog sensors through a data acquisition system (DataQ DI-1100 ). Other instruments can be added via the user interface if they output simple ascii data frame, otherwise the code is intended to be modular to support new instruments. | ||||
| Technical contact email | please check the record details page | ||||
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https://www.unidata.ucar.edu/software/idv/
Unidata’s Integrated Data Viewer (IDV) is a freely available 3D geoscience visualization and analy ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.unidata.ucar.edu/software/idv/ | ||||
| Parent Project URL | https://www.unidata.ucar.edu/ | ||||
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| English name | Integrated Data Viewer - UNIDATA | ||||
| Original (non-English) name | |||||
| Acronym | IDV - UNIDATA | ||||
| Citation | |||||
| Abstract | Unidata’s Integrated Data Viewer (IDV) is a freely available 3D geoscience visualization and analysis tool that gives users the ability to view and analyze a rich set of geoscience data in an integrated fashion. The IDV brings together the ability to display and analyze satellite imagery, gridded data (such as numerical weather prediction model output), surface observations (METARs), upper air soundings, NWS NEXRAD Level II and Level III RADAR data, and GIS data, all within a unified interface. The IDV integrates tightly with common scientific data servers (including Unidata’s TDS) to provide easy access to many real-time and archive datasets. It also provides collaborative features that enable users to easily share their own data holdings and analysis products with others. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/introocean/introocean-en
Introduction to Physical Oceanography by R. Stewart.
Based on the work of Robert Stewart
Robert ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/introocean/introocean-en | ||||
| Parent Project URL | https://github.com/introocean | ||||
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| English name | introocean-en | ||||
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| Abstract | Introduction to Physical Oceanography by R. Stewart. Based on the work of Robert Stewart Robert Stewart's "Introduction to Physical Oceanography" was the first oceanography textbook for many students. It was always the free high-quality source of basic oceanographic knowledge. Robert Stewart retired in 2009 and did not update the book after that. With his permission, we now publish the latest version of the book's LaTeX source code on GitHub. Dr. Stewart gives his permission to update the book by fixing errors and adding new information. He has only two conditions: Don’t let the book grow into an encyclopedia. It is an INTRODUCTION, leaving details to more expert and focused publications (which could also be on the web server). Keep the book focused on the most important issues students need to know about. Today, satellite oceanography needs to be emphasized as most of our knowledge comes from satellites and drifters. My only request is that the book not be offered for sale. It should be open source and available to everyone at no cost. We are going to update the book through the usual GitHub procedure with PRs and code review. Any help and contributions from the oceanographic community will be greatly appreciated. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/rabernat/intro_to_physical_oceanography
This repository contains course materials for EESC4925. The lecture notes are in the form of interac ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/rabernat/intro_to_physical_oceanography | ||||
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| English name | Intro to physical oceanography | ||||
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| Abstract | This repository contains course materials for EESC4925. The lecture notes are in the form of interactive Jupyter Notebooks. | ||||
| Technical contact email | please check the record details page | ||||
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https://www.msh.org/resources/inventory-management-assessment-tool-imat
A user-friendly instrument designed to collect and calculate indicators of effective inventory manag ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.msh.org/resources/inventory-management-assessment-tool-imat | ||||
| Parent Project URL | https://www.msh.org/ | ||||
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| English name | Inventory Management Assessment Tool | ||||
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| Acronym | IMAT | ||||
| Citation | |||||
| Abstract | A user-friendly instrument designed to collect and calculate indicators of effective inventory management. The IMAT guides the user through a process of collecting data on the physical and theoretical stock balance and the duration of stockouts for a set of up to 25 frequently-used products, calculating indicators, analyzing the results, and identifying strategies for improving record-keeping and stock management practices. The IMAT comes as a computerized spreadsheet in Excel and includes instructions, a data collection form, analysis guidelines, recommendations, and a graphical display of the indicator results. The IMAT is intended to be used in warehouses and other organizations that manage inventory (e.g. contraceptives, essential drugs, vaccines, IEC materials, surgical equipment). It is recommended to use the IMAT as a team exercise for identifying record-keeping and stock management problems and developing solutions to improve them. The assessment should be led by managers who are responsible for the warehouse's overall performance, in collaboration with other warehouse staff. The IMAT can also be conducted by a Technical Assistant as part of a consultancy. | ||||
| Technical contact email | please check the record details page | ||||
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http://doi.org/10.5281/zenodo.4473254
A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://doi.org/10.5281/zenodo.4473254 | ||||
| Parent Project URL | https://scitools-iris.readthedocs.io/en/latest/ | ||||
| ODIS-Arch URL | |||||
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| English name | iris package | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | Richard Hattersley, Bill Little, Phil Elson, Ed Campbell, Patrick Peglar, Peter Killick, … abooton. (2021, January 27). SciTools/iris: v3.0.1 (Version v3.0.1). Zenodo. http://doi.org/10.5281/zenodo.4473254 | ||||
| Abstract | A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data | ||||
| Technical contact email | please check the record details page | ||||
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http://www.fao.org/ipoa-sharks/tools/software/isharkfin
iSharkFin is an expert system that uses machine learning techniques to identify shark species from s ...
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| Submitter/Owner | Mr. Marc Taconet ( OceanExpert : 16546 ) | ||||
| Submitter/Owner Role | FAO | ||||
| Datasource URL | http://www.fao.org/ipoa-sharks/tools/software/isharkfin | ||||
| Parent Project URL | http://www.fao.org/ipoa-sharks/en/ | ||||
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| English name | iSharkFin - FAO | ||||
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| Abstract | iSharkFin is an expert system that uses machine learning techniques to identify shark species from shark fin shapes. The software was developed by FAO in collaboration with the University of Vigo with financial support from the Government of Japan and the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES). Aimed at port inspectors, custom agents, fish traders and other users without formal taxonomic training, iSharkFin allows the identification of shark species from a picture of the fin. The iSharkFin takes an interactive process. Users only need to take a standard photo, select some characteristics of a fin and choose a few points on the fin shape, iSharkFin will automatically analyze the information and tell you the shark specie from which the fin comes. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | FIGIS | ||||
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https://gher-ulg.github.io/julia_ocean.html
This page makes an inventory of the ocean-related packages in Julia.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://gher-ulg.github.io/julia_ocean.html | ||||
| Parent Project URL | http://labos.ulg.ac.be/gher/ | ||||
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| English name | julia for oceanography | ||||
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| Citation | |||||
| Abstract | This page makes an inventory of the ocean-related packages in Julia. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/jabbamodel/JABBA
The materials in this repository present the stock assessment tool ‘Just Another Bayesian Biomass ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/jabbamodel/JABBA | ||||
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| English name | Just Another Bayesian Biomass Assessment | ||||
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| Acronym | JABBA | ||||
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| Abstract | The materials in this repository present the stock assessment tool ‘Just Another Bayesian Biomass Assessment’ JABBA. The motivation for developing JABBA was to provide a user-friendly R to JAGS (Plummer) interface for fitting generalized Bayesian State-Space SPMs with the aim to generate reproducible stock status estimates and diagnostics. Building on recent advances in optimizing the fitting procedures through the development of Bayesian state-space modelling approaches, JABBA originates from a continuous development process of a Bayesian State-Space SPM tool that has been applied and tested in many assessments across oceans. JABBA was conceived in the Hawaiian Summer of 2015 as a collaboration between young researchers from South Africa and the Pacific Islands Fisheries Science Center (NOAA) in Honolulu, HI USA. The goal was to provide a bridge between age-structured and biomass dynamic models, which are still widely used. JABBA runs quickly and by default generates many useful plots and diagnosic tools for stock assessments. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/gher-ulg/Liege-Colloquium-on-Ocean-Dynamics
Liège Colloquium on Ocean Dynamics started in 2016, this project was meant to store the LaTeX files ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/gher-ulg/Liege-Colloquium-on-Ocean-Dynamics | ||||
| Parent Project URL | http://labos.ulg.ac.be/gher/ | ||||
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| English name | Liege-Colloquium-on-Ocean-Dynamics | ||||
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| Abstract | Liège Colloquium on Ocean Dynamics started in 2016, this project was meant to store the LaTeX files used to create the colloquium poster for the 2016 edition. It has evolved into a more consistent repository with a few Jupyter notebooks designed to prepare figures and illustrations for the Colloquium and that could be re-used for future editions, hopefully. For the 50th Edition (2018), the plan was to have an overview of the previous editions in terms of countries, topics and participants. | ||||
| Technical contact email | please check the record details page | ||||
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http://www.lifewatch.be/en/e-lab
LifeWatch builds and operates open E-science infrastructure that can support biodiversity and ecosys ...
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| Submitter/Owner | Mr. Jelle Kurt Rondelez ( OceanExpert : 37076 ) | ||||
| Submitter/Owner Role | IODE NODC | ||||
| Datasource URL | http://www.lifewatch.be/en/e-lab | ||||
| Parent Project URL | http://www.lifewatch.be/ | ||||
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| English name | Lifewatch e-lab | ||||
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| Abstract | LifeWatch builds and operates open E-science infrastructure that can support biodiversity and ecosystem research. The developed e-services facilitate open data exchange, visualization and analysis and are provided to the user through dedicated Virtual Laboratories and applications. Virtual labs that provide marine services can be accessed through the Marine Virtual Research Environment (VRE). | ||||
| Technical contact email | please check the record details page | ||||
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| Spatial Coverage | Europe, Antarctica and Southern Ocean | ||||
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https://oceanobservatories.org/m2m/
The OOI Machine-to-Machine (M2M) interface provides access to OOI data via a RESTful Application Pro ...
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| Submitter/Owner | Peter H. Pissierssens ( OceanExpert : 36337 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://oceanobservatories.org/m2m/ | ||||
| Parent Project URL | https://oceanobservatories.org/ | ||||
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| English name | M2M (Machine to Machine) Interface - Ocean Observatories Initiative | ||||
| Original (non-English) name | |||||
| Acronym | M2M Interface - OOI | ||||
| Citation | Citing OOI Data The “Ocean Observatories Initiative” should be cited as the source for any data used in research projects or papers derived from OOI instrumentation, including posts on social media where a link to the OOI data must be provided. General Data Source When citing OOI as the general data source, we encourage authors to use the following format: NSF Ocean Observatories Initiative Data Portal, http://ooinet.oceanobservatories.org. Downloaded on (date_accessed). Specific Instrument and Time Frame When citing data from a specific instrument and time range, we suggest the following format: NSF Ocean Observatories Initiative Data Portal, http://ooinet.oceanobservatories.org, (data_type, reference_designator) data from (start_date) to (end_date). Downloaded on (date_accessed). For example: NSF Ocean Observatories Initiative Data Portal, http://ooinet.oceanobservatories.org, Bottom Pressure Tilt (RS03CCAL-MJ03F-05-BOTPTA301) data from 25 January 2015 to 25 May 2016. Downloaded on 17 June 2016. | ||||
| Abstract | The OOI Machine-to-Machine (M2M) interface provides access to OOI data via a RESTful Application Programming Interface (API). A RESTful API allows two software programs to communicate with each other. For OOI, this interface allows authenticated users to request small amounts of data via synchronous JSON requests, request larger amounts of data in NetCDF or CSV format to download multiple data streams or data from multiple platforms, or set up recurring downloads to update an existing dataset. Additionally, searches of the asset management system can be executed to find deployment, calibration, quality control parameters, annotations, and other information, both in bulk and for specific instruments or platforms. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/lucasberent/mapleDocs/
Repository for machine actionable data management plans (maDMPs) created for Data Stewardship course ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/lucasberent/mapleDocs/ | ||||
| Parent Project URL | https://lucasberent.github.io/mapleDocs/ | ||||
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| English name | mapleDocs package | ||||
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| Abstract | Repository for machine actionable data management plans (maDMPs) created for Data Stewardship course at TU Vienna. This project was created for the course Data Stewardship, summer term 2020 at TU Vienna. The goal of this open source project is to provide a system that allows users to manage and expose machine readable data management plans (maDMPs) to achieve FAIR data (see TU Vienna FAIR, Exposing maDMPs). | ||||
| Technical contact email | please check the record details page | ||||
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https://icam-invemar.opendata.arcgis.com/
ICAM is a statistical information tool that allows evaluating changes in the state of marine and coa ...
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| Submitter/Owner | Mr. Leonardo Jose ARIAS ALEMÁN ( OceanExpert : 12914 ) | ||||
| Submitter/Owner Role | IODE ADU | ||||
| Datasource URL | https://icam-invemar.opendata.arcgis.com/ | ||||
| Parent Project URL | http://www.invemar.org.co/ | ||||
| ODIS-Arch URL | |||||
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| English name | Marine and Coastal Water Quality Index - Marine and Coastal Research Institute of Colombia | ||||
| Original (non-English) name | Indicador de la Calidad de las Aguas Marinas - Instituto de Investigaciones Marinas y Costeras de Colombia | ||||
| Acronym | ICAM - INVEMAR | ||||
| Citation | INVEMAR. (año de consulta). Sistema de información de la Red de vigilancia para la conservación y protección de las aguas marinas y costeras. Base de datos del índice de Calidad de aguas marinas - ICAM. Disponible en: https://siam.invemar.org.co/redcam (Fecha de consulta) | ||||
| Abstract | ICAM is a statistical information tool that allows evaluating changes in the state of marine and coastal water quality, based on criteria or standards that allows quantifying the state of conservation or deterioration of water according to its characteristics and based on its use or destination in the specific place and time. | ||||
| Technical contact email | please check the record details page | ||||
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https://slgo.ca/conditions
The "Marine Conditions" application developed by the St. Lawrence Global Observatory (SLGO) displays ...
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| Submitter/Owner | Ms. Anne-Sophie Ste-Marie ( OceanExpert : 36559 ) | ||||
| Submitter/Owner Role | Other | ||||
| Datasource URL | https://slgo.ca/conditions | ||||
| Parent Project URL | https://ogsl.ca/en/navigation/marine-conditions-context | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Marine Conditions | ||||
| Original (non-English) name | Conditions maritimes | ||||
| Acronym | |||||
| Citation | [Dataset Owner]. [YEAR(s) of the downloaded data set]. [Name of dataset]. Data published on St. Lawrence Global Observatory's-SLGO portal. [https://slgo.ca]. Access date: [YYYY-MM-DD]. | ||||
| Abstract | The "Marine Conditions" application developed by the St. Lawrence Global Observatory (SLGO) displays a wide range of recent and near real-time data collected by various monitoring systems installed in a vast territory from the Great Lakes to the St. Lawrence Gulf. Thus, this Web application allows the visualization and access to multiple physico-chemical data measured by sensors from buoys, tide gauges, thermographs, radars and meteorological stations. Data related to air, currents, water, waves and winds are available. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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| Spatial Coverage | bbox=-138.85,41.83,-52.59,69.44 | ||||
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https://debristracker.org/
Debris Tracker is designed to help citizen scientists like you make a difference by contributing dat ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://debristracker.org/ | ||||
| Parent Project URL | https://www.noaa.gov/ | ||||
| ODIS-Arch URL | |||||
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| English name | Marine Debris Tracker mobile app | ||||
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| Citation | |||||
| Abstract | Debris Tracker is designed to help citizen scientists like you make a difference by contributing data on plastic pollution in your community. We've been tracking litter since before smartphones existed, and we're still driven by uniting technology and citizen science to fight plastic pollution. Every day, dedicated educational, non-profit, and scientific organizations and passionate citizen scientists from all around the world record data on inland and marine debris with our easy-to-use app, contributing to our open data platform and scientific research. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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https://mgel.env.duke.edu/mget/
Download MGET Tools
Accessing oceanographic data from ArcGIS
Identifying ecologically-relevant oce ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://mgel.env.duke.edu/mget/ | ||||
| Parent Project URL | https://mgel.env.duke.edu/ | ||||
| ODIS-Arch URL | |||||
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| English name | Marine Geospatial Ecology Tools - Marine Geospatial Ecology Lab | ||||
| Original (non-English) name | |||||
| Acronym | MGET - MGEL | ||||
| Citation | |||||
| Abstract | Download MGET Tools Accessing oceanographic data from ArcGIS Identifying ecologically-relevant oceanographic features in remote sensing imagery Building predictive species distribution models Modeling habitat connectivity by simulating hydrodynamic dispersal of larvae Detecting spatiotemporal patterns in fisheries and other time series data | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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https://www.mathworks.com/matlabcentral/fileexchange/1629-mooring-design-and-dynamics
MD&D is a MATLAB toolbox for design and then testing single point oceanographic moorings influenced ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.mathworks.com/matlabcentral/fileexchange/1629-mooring-design-and-dynamics | ||||
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| English name | mdd mooring design and dynamics | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | Richard Dewey (2021). Mooring Design and Dynamics (https://www.mathworks.com/matlabcentral/fileexchange/1629-mooring-design-and-dynamics), MATLAB Central File Exchange. Retrieved May 16, 2021. | ||||
| Abstract | MD&D is a MATLAB toolbox for design and then testing single point oceanographic moorings influenced by currents and wind. The supplied database will allow you to build a mooring and test it under typical current conditions, or force it by a time series of current profiles to generate a time series of mooring shapes and component positions. | ||||
| Technical contact email | please check the record details page | ||||
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http://medclic.es/es/kids/
The MEDCLIC KIDS APP is an educational app designed to introduce little ones to the world of marine ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://medclic.es/es/kids/ | ||||
| Parent Project URL | https://www.socib.es/ | ||||
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| English name | Medclic Kids App - Coastal observation and prediction system of the Balearic Islands | ||||
| Original (non-English) name | |||||
| Acronym | Medclic Kids App - SOCIB | ||||
| Citation | |||||
| Abstract | The MEDCLIC KIDS APP is an educational app designed to introduce little ones to the world of marine science by playing, developed by the Balearic Islands Coastal Observing and Forecasting System (SOCIB) within the framework of the “MEDCLIC: The Mediterranean just a click away” project in collaboration with Obra Social "la Caixa". APP MEDCLIC KIDS is free-of-charge and ad-free. It has an oceanography-related interactive screen, puzzles, and memory and vocabulary games. In MEDCLIC KIDS APP, Glidey is a friendly, yellow underwater glider who explains to us how marine technologies help us to get to know about and conserve our seas. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/MIDOSS/docs
This is documentation about the MEOPAR MIDOSS (Model of Impact of Dilbit and Oil Spills in the Salis ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/MIDOSS/docs | ||||
| Parent Project URL | https://midoss-docs.readthedocs.io/en/latest/ | ||||
| ODIS-Arch URL | |||||
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| English name | MEOPAR MIDOSS Project Documentation | ||||
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| Citation | |||||
| Abstract | This is documentation about the MEOPAR MIDOSS (Model of Impact of Dilbit and Oil Spills in the Salish Sea) project. These docs are rendered at https://midoss-docs.readthedocs.io/en/latest/. The Salish Sea and coastal communities are at risk of marine oil spills from various ship sources, including tankers carrying diluted bitumen (dilbit), which are projected to increase. This project seeks to improve scientific knowledge and tools to support evidence-based planning for oil spills. Using the latest observations from the Ocean Networks Canada Ocean Observatory and a suite of state-of-the-art models, we will improve modeling of dilbit in the coastal ocean, prediction of near-surface currents, and risk communication strategies for diverse decision-making groups. We will produce predictions of strong currents and extreme high/low water for pilots to help reduce ship accidents, as well as risk maps and related information products to aid in community planning and in addressing ecosystem vulnerability. | ||||
| Technical contact email | please check the record details page | ||||
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http://incod.inio.ac.ir/Products/Software/Metadata-Tool
The Iranian National Center for Ocean Data (INCOD) has developed Metadata entry tool based on ISO 19 ...
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| Submitter/Owner | Mrs. Farnaz Ghiasi ( OceanExpert : 26554 ) | ||||
| Submitter/Owner Role | IODE NODC | ||||
| Datasource URL | http://incod.inio.ac.ir/Products/Software/Metadata-Tool | ||||
| Parent Project URL | http://inio.ac.ir/ | ||||
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| English name | Metadata Application - Iranian National Center for Ocean Data | ||||
| Original (non-English) name | |||||
| Acronym | Metadata Application - INCOD | ||||
| Citation | |||||
| Abstract | The Iranian National Center for Ocean Data (INCOD) has developed Metadata entry tool based on ISO 19139 standard. This application was developed in order to manipulate and publish metadata records by marine organizations. It is freely accessible through INCOD portal. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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| Spatial Coverage | Persian Gulf, Oman Sea, Caspian Sea, Arabian Sea, Indian Ocean, Iranian coast | ||||
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https://github.com/fmidev/metolib
MetOClient is a JavaScript library for map animations, based on OpenLayers 6. If you are looking for ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/fmidev/metolib | ||||
| Parent Project URL | https://github.com/fmidev | ||||
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| English name | MetOClient package - Finnish Meteorological Institute | ||||
| Original (non-English) name | MetOClient - FMI | ||||
| Acronym | |||||
| Citation | |||||
| Abstract | MetOClient is a JavaScript library for map animations, based on OpenLayers 6. If you are looking for an older version, check out the v4 branch. An animation is defined by map layers containing time rules. The map standards it supports are WMS, WMTS and GeoJSON. The configuration is given in a JSON object which is an extension of a Mapbox style configuration. An animation API is provided to extend OpenLayers map methods. | ||||
| Technical contact email | please check the record details page | ||||
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https://play.google.com/store/apps/details?id=pe.mil.dhn.mgp.rios&hl=es
The Hydrography and Navigation Directorate of the Peruvian Navy, through the "MGP-RIOS" Application, ...
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| Submitter/Owner | Mr Luis Angel Culqui Maiz ( OceanExpert : 40924 ) | ||||
| Submitter/Owner Role | IODE NODC | ||||
| Datasource URL | https://play.google.com/store/apps/details?id=pe.mil.dhn.mgp.rios&hl=es | ||||
| Parent Project URL | http://www.dhn.mil.pe/index.php | ||||
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| English name | MGP Ríos - Hydrography and Navigation Directorate of the Peruvian Navy | ||||
| Original (non-English) name | MGP Ríos - Dirección de Hidrografía y Navegación de la Marina de Guerra del Perú | ||||
| Acronym | APP MGP RIOS | ||||
| Citation | |||||
| Abstract | The Hydrography and Navigation Directorate of the Peruvian Navy, through the "MGP-RIOS" Application, displays the following in a friendly and simple way: daily record of the levels of the main rivers of the Amazon, histogram of daily variation compared to the maximum, minimum and average historical levels, times of Rising and Emptying of the Amazon rivers and about the Hydrography and Navigation Service of the Amazon. | ||||
| Technical contact email | please check the record details page | ||||
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https://play.google.com/store/apps/details?id=me.doapps.appdhn
With the application of the National Tsunami Warning Center of the Peruvian Navy, you will be able t ...
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| Submitter/Owner | Mr Luis Angel Culqui Maiz ( OceanExpert : 40924 ) | ||||
| Submitter/Owner Role | IODE NODC | ||||
| Datasource URL | https://play.google.com/store/apps/details?id=me.doapps.appdhn | ||||
| Parent Project URL | http://www.dhn.mil.pe/index.php | ||||
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| ODIS-Arch Type | |||||
| English name | MGP TSUNAMI - National Tsunami Warning Center of the Peruvian Navy | ||||
| Original (non-English) name | MGP TSUNAMI - Centro Nacional de Alerta de Tsunamis de la Marina de Guerra del Perú | ||||
| Acronym | |||||
| Citation | |||||
| Abstract | With the application of the National Tsunami Warning Center of the Peruvian Navy, you will be able to know the following: - Visualization of the Flood Zones of the Peruvian coast, these zones are shaded in two colors: pink and red. These are simulations of tsunamis caused by earthquakes of different magnitudes. - Visualization of the National Seismic Report in which the latest earthquakes that have occurred in the country and abroad are detailed. - Download the available flood cards. - Prevention tips to know what actions to take in case of Tsunamis. - Videos and information of interest about the function of the National Tsunami Warning Center. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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http://mitgcm.org/public/r2_manual/latest/home_page/frontpage.html
MITgcm is a numerical model designed for the study of the atmosphere, ocean, and climate. For an ove ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://mitgcm.org/public/r2_manual/latest/home_page/frontpage.html | ||||
| Parent Project URL | http://mitgcm.org/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | MITgcm | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | MITgcm is a numerical model designed for the study of the atmosphere, ocean, and climate. For an overview, please see MIT's Climate Modeling Initiative (CMI) which introduces the MITgcm model, its applications, and the development team. MITgcm’s flexible non-hydrostatic formulation enables it to efficiently simulate fluid phenomena over a wide range of scales; its adjoint capabilities enable it to be applied to sensitivity questions and to parameter and state estimation problems. By employing fluid equation isomorphisms, a single dynamical kernel can be used to simulate flow of both the atmosphere and ocean. The model is developed to perform efficiently on a wide variety of computational platforms. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/UBC-MOAD/moad_tools
The UBC EOAS MOAD Group Tools package (moad_tools) is a collection of Python modules that facilitate ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/UBC-MOAD/moad_tools | ||||
| Parent Project URL | https://ubc-moad-tools.readthedocs.io/en/latest/ | ||||
| ODIS-Arch URL | |||||
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| English name | moad_tools package | ||||
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| Citation | |||||
| Abstract | The UBC EOAS MOAD Group Tools package (moad_tools) is a collection of Python modules that facilitate code reuse for the UBC EOAS MOAD Group. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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https://github.com/jamesorr/mocsy
mocsy is a Fortran 95 package designed to compute all carbonate system variables from total dissolve ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/jamesorr/mocsy | ||||
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| English name | mocsy package | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | mocsy is a Fortran 95 package designed to compute all carbonate system variables from total dissolved inorganic carbon (DIC) and total alkalinity, particularly from models. It updates previous OCMIP code, avoids 3 common model approximations, and offers the best-practice constants as well as more recent options. It agrees with CO2SYS within 0.005%. The mocsy package is described by Orr and Epitalon (2015) and has been compared to other packages that compute marine carbonate chemistry (Orr et al., 2015). More recently, new routinnes were added to propagate uncertainties and compute sensitivities of derived variables to input variables (Orr et al., 2018) | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/MIDOSS/MOHID-Cmd
About
A command-line tool for doing various operations associated with the MIDOSS project version o ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/MIDOSS/MOHID-Cmd | ||||
| Parent Project URL | https://mohid-cmd.readthedocs.io/en/latest/index.html | ||||
| ODIS-Arch URL | |||||
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| English name | MOHID-Cmd package | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | About A command-line tool for doing various operations associated with the MIDOSS project version of the MOHID model. MOHID-Cmd is based on, and provides MIDOSS-MOHID-specific extensions for https://github.com/SalishSeaCast/NEMO-Cmd/ | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/clstoulouse/motu-client-python
Motu is a high efficient and robust Web Server which fills the gap between heterogeneous data provid ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/clstoulouse/motu-client-python | ||||
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| English name | motu-client-python package | ||||
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| Abstract | Motu is a high efficient and robust Web Server which fills the gap between heterogeneous data providers to end users. Motu handles, extracts and transforms oceanographic huge volumes of data without performance collapse. This client enables to extract and download data through a python command line. | ||||
| Technical contact email | please check the record details page | ||||
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http://buritaca.invemar.org.co/argos/login.jsp
ARGOS is a data warehouse to which a design based on a metamodel is applied that allows the definiti ...
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| Submitter/Owner | Mr. Leonardo Jose ARIAS ALEMÁN ( OceanExpert : 12914 ) | ||||
| Submitter/Owner Role | IODE ADU | ||||
| Datasource URL | http://buritaca.invemar.org.co/argos/login.jsp | ||||
| Parent Project URL | http://www.invemar.org.co/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Multi-thematic support system for environmental monitoring - Institute for Marine and Coastal Research of Colombia | ||||
| Original (non-English) name | SISTEMA DE SOPORTE MULTITEMÁTICO PARA EL MONITOREO AMBIENTAL - Instituto de Investigaciones Marinas y Costeras de Colombia | ||||
| Acronym | ARGOS - INVEMAR | ||||
| Citation | Authors, year, dataset title. Dataset. URL or DOI. | ||||
| Abstract | ARGOS is a data warehouse to which a design based on a metamodel is applied that allows the definition of attributes and their domains in a dynamic way; the operational requirements of loading and unloading data are fulfilled by combining software of own development and templates programmed in MS Excel; The administration of the system combines elements of policy, regulations and security in which the organizational principles that apply to the users of the system, the standards of documentation by means of metadata and the operational mechanisms that guarantee the confidentiality and integrity of the data are clearly defined. The system manages monitoring data series of Colombia's marine ecosystems, some of them taken since 1990. | ||||
| Technical contact email | please check the record details page | ||||
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https://www.fbbva.es/microsite/multivariate-statistics/index.html
Multivariate analysis is the area of statistics that deals with observations made on many variables. ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.fbbva.es/microsite/multivariate-statistics/index.html | ||||
| Parent Project URL | https://www.fbbva.es/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Multivariate Statistics' Project - Fundación BBVA | ||||
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| Abstract | Multivariate analysis is the area of statistics that deals with observations made on many variables. The main objective is to study how the variables are related to one another, and how they work in combination to distinguish between the cases on which the observations are made. The analysis of multivariate data permeates every research discipline: biology, medicine, environmental science, sociology, economics, education, linguistics, archaeology, anthropology, psychology and behavioural science, to name a few, and has even been applied in philosophy. All natural and physical processes are essentially multivariate in nature—the challenge is to understand the process in a multivariate way, where variables are connected and their relationships understood, as opposed to a bunch of univariate processes, i.e. single variables at a time, isolated from one another. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/Alexander-Barth/NCDatasets.jl
NCDatasets allows one to read and create netCDF files. NetCDF data set and attribute list behave lik ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/Alexander-Barth/NCDatasets.jl | ||||
| Parent Project URL | http://labos.ulg.ac.be/gher/ | ||||
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| English name | NCDatasets package.jl | ||||
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| Abstract | NCDatasets allows one to read and create netCDF files. NetCDF data set and attribute list behave like Julia dictionaries and variables like Julia arrays. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/43ravens/NEMO_Nowcast
The NEMO_Nowcast package is a collection of Python modules that can be used to build a software syst ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/43ravens/NEMO_Nowcast | ||||
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| English name | NEMO_Nowcast | ||||
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| Abstract | The NEMO_Nowcast package is a collection of Python modules that can be used to build a software system to run ocean models such as NEMO in a daily nowcast/forecast mode. | ||||
| Technical contact email | please check the record details page | ||||
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| Spatial Coverage | Salish Sea | ||||
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https://www.nemo-ocean.eu/
NEMO standing for "Nucleus for European Modelling of the Ocean" is a state-of-the-art modelling fram ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.nemo-ocean.eu/ | ||||
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| English name | Nemo Modelling platform | ||||
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| Citation | Madec Gurvan, Romain Bourdallé-Badie, Jérôme Chanut, Emanuela Clementi, Andrew Coward, Christian Ethé, … Guillaume Samson. (2019, October 24). NEMO ocean engine (Version v4.0). Notes Du Pôle De Modélisation De L'institut Pierre-simon Laplace (IPSL). Zenodo. http://doi.org/10.5281/zenodo.3878122 | ||||
| Abstract | NEMO standing for "Nucleus for European Modelling of the Ocean" is a state-of-the-art modelling framework for research activities and forecasting services in ocean and climate sciences, developed in a sustainable way by a European consortium. | ||||
| Technical contact email | please check the record details page | ||||
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https://nmfs-fish-tools.github.io/
The NOAA Fish and Fisheries Toolbox (Fish-Tools) is a collection of software programs and modeling t ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://nmfs-fish-tools.github.io/ | ||||
| Parent Project URL | https://noaa-fisheries-integrated-toolbox.github.io/ | ||||
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| English name | NOAA Fisheries Toolbox | ||||
| Original (non-English) name | |||||
| Acronym | NFT | ||||
| Citation | |||||
| Abstract | The NOAA Fish and Fisheries Toolbox (Fish-Tools) is a collection of software programs and modeling tools which can be used in fishery stock assessments. Many of the models are used in peer-reviewed stock assessments in the U.S. and globally. A variety of fisheries stock assessment models as well as analytical and reporting tools are available, each of which uses a different type of estimation method to produce results. The NOAA Fish and Fisheries Toolbox (Fish-Tools) is part of the NOAA Fisheries Integrated Toolbox (FIT) and is an expansion and update to the NOAA Fisheries Toolbox (NFT) | ||||
| Technical contact email | please check the record details page | ||||
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https://api.obis.org/
OBIS REST API
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| Submitter/Owner | Mr. Ward Appeltans ( OceanExpert : 11770 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://api.obis.org/ | ||||
| Parent Project URL | https://obis.org | ||||
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| English name | OBIS API | ||||
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| Abstract | OBIS REST API | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/iobis/obistools
R package for the obistools service, for data enhancement and quality control of OBIS data
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| Submitter/Owner | Mr. Ward Appeltans ( OceanExpert : 11770 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/iobis/obistools | ||||
| Parent Project URL | https://obis.org | ||||
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| English name | Obistools | ||||
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| Citation | Samuel, Pieter Provoost, & Ward Appeltans. (2018, November 16). iobis/obistools: version 0.0.6 (Version v0.0.6). Zenodo. http://doi.org/10.5281/zenodo.1489937 | ||||
| Abstract | R package for the obistools service, for data enhancement and quality control of OBIS data | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/dankelley/oce
Oce is an R package for processing oceanographic data. Its webpage provides details, of which this R ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/dankelley/oce | ||||
| Parent Project URL | https://dankelley.github.io/oce/ | ||||
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| English name | oce | ||||
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| Abstract | Oce is an R package for processing oceanographic data. Its webpage provides details, of which this README file is just a sketch. A book by one of the oce co-authors provides more information on the package and its potential for oceanographic research (Kelley, Dan E., 2018. Oceanographic Analysis with R. New York. Springer-Verlag ISBN 978-1-4939-8844-0). | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/Raniita/Ocean-CTD
Oceanography CTD used and design by UPCT Mar Menor research group. A CTD device’s primary function ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/Raniita/Ocean-CTD | ||||
| Parent Project URL | https://ocean.upct.es/ | ||||
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| English name | Ocean-CTD | ||||
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| Abstract | Oceanography CTD used and design by UPCT Mar Menor research group. A CTD device’s primary function is to detect how the conductivity and temperature of the water column changes relative to depth. This CTD obtain the values of colored dissolved organic matter (CDOM), Phycoerythrin (PE) and Chlorophyll (CHL). Currently using a master-slave communication. An Arduino is doing the slave, and the mastering task its doing for other devices, like phone or laptop. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/DFO-Ocean-Navigator/Ocean-Data-Map-Project
Ocean Navigator is a Data Visualization tool that enables users to discover and view 3D ocean model ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/DFO-Ocean-Navigator/Ocean-Data-Map-Project | ||||
| Parent Project URL | https://navigator.oceansdata.ca/ | ||||
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| English name | Ocean-Data-Map-Project | ||||
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| Abstract | Ocean Navigator is a Data Visualization tool that enables users to discover and view 3D ocean model output quickly and easily. The model outputs are stored as NetCDF4 files. Our file management is now handled by an SQLite3 process that incrementally scans the files for a dataset, and updates a corresponding table so that the Python layer can only open the exact files required to perform computations; as opposed to the THREDDS aggregation approach which serves all the files in a dataset as a single netcdf file. The THREDDS approach was unable to scale to the sheer size of the datasets we deal with. The server-side component of the Ocean Navigator is written in Python 3, using the Flask web API. Conceptually, it is broken down into three components: Query Server This portion returns metadata about the selected dataset in JSON format. These queries include things like the list of variables in the dataset, the times covered, the list of depths for that dataset, etc. The other queries include things such as predefined areas (NAFO divisions, EBSAs, etc), and ocean drifter paths. The drifter paths are loaded from NetCDF files, but all the other queries are loaded from KML files. Plotting This portion generates an image plot, which could be a map with surface fields (or fields at a particular depth), a transect through a defined part of the ocean, depth profiles of one or more points, etc. We use the matplotlib python module to generate the plots. Because the model grid rarely lines up with the map projection, and profiles and transects don't necessarily fall on model grid points, we employ some regridding and interpolation to generate these plots. For example, for a map plot, we select all the model points that fall within the area, plus some extra around the edges and regrid to a 500x500 grid that is evenly spaced over the projection area. An added benefit of this regridding is that we can directly compare across models with different grids. This allows us to calculate anomalies on the fly by comparing the model to a climatology. In theory, this would also allow for computing derived outputs from variables in different datasets with different native grids. Tile Server This portion is really a special case of the plotting component. The tile server serves 256x256 pixel tiles at different resolutions and projections that can be used by the OpenLayers web mapping API. This portion doesn't use matplotlib, as the tiles don't have axis labels, titles, legends, etc. The same style of interpolation/regridding is done to generate the data for the images. The generated tiles are cached to disk after they are generated the first time, this allows the user request to bypass accessing the NetCDF files entirely on subsequent requests. The user interface is written in Javascript using the React framework. This allows for a single-page, responsive application that offloads as much processing from the server onto the user's browser as possible. For example, if the user chooses to load points from a CSV file, the file is parsed in the browser and only necessary parts of the result are sent back to the server for plotting. The main display uses the OpenLayers mapping API to allow the user to pan around the globe to find the area of interest. It also allows the user to pick an individual point to get more information about, draw a transect on the map, or draw a polygon to extract a map or statistics for an area. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/lnferris/ocean_data_tools
A MATLAB toolbox for interacting with bulk freely-available oceanographic data.
ocean_data_tools si ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/lnferris/ocean_data_tools | ||||
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| English name | ocean_data_tools package | ||||
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| Citation | Ferris, L., (2020). ocean_data_tools: A MATLAB toolbox for interacting with bulk freely-available oceanographic data. Journal of Open Source Software, 5(54), 2497, https://doi.org/10.21105/joss.02497 | ||||
| Abstract | A MATLAB toolbox for interacting with bulk freely-available oceanographic data. ocean_data_tools simplifies the process of extracting, formatting, and visualizing freely-available oceanographic data. While a wealth of oceanographic data is accessible online, some end-users may be dissuaded from utilizing this data due to the overhead associated with obtaining and formatting it into usable data structures. ocean_data_tools solves this problem by allowing the user to transform common oceanographic data sources into uniform structs, call generalized functions on these structs, easily perform custom calculations, and make graphics. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/dankelley/oce
Supports the analysis of Oceanographic data, including 'ADCP' measurements, measurements made with ' ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/dankelley/oce | ||||
| Parent Project URL | https://dankelley.github.io/oce/ | ||||
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| English name | oce Analysis of Oceanographic Data package | ||||
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| Abstract | Supports the analysis of Oceanographic data, including 'ADCP' measurements, measurements made with 'argo' floats, 'CTD' measurements, sectional data, sea-level time series, coastline and topographic data, etc. Provides specialized functions for calculating seawater properties such as potential temperature in either the 'UNESCO' or 'TEOS-10' equation of state. Produces graphical displays that conform to the conventions of the Oceanographic literature. This package is discussed extensively in Dan Kelley's book Oceanographic Analysis with R, published in 2018 by 'Springer-Verlag' with ISBN 978-1-4939-8842-6. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/btjones16/ocean
An R package for processing and visualizing oceanographic data. This package contains a set of funct ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/btjones16/ocean | ||||
| Parent Project URL | http://fvcom.smast.umassd.edu | ||||
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| English name | ocean Biophysical Oceanography Tools package | ||||
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| Abstract | An R package for processing and visualizing oceanographic data. This package contains a set of functions for manipulating and visualizing output from numerical ocean models. Many of the routines are targeted towards Lagrangian particle-tracking models with the data stored in NetCDF files. This package may be useful to spatial marine ecologists and biological or physical oceanographers. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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https://oceandata.sci.gsfc.nasa.gov/ocssw/
The following Git repository links are for the OceanColor Science Software (OCSSW) maintained by the ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://oceandata.sci.gsfc.nasa.gov/ocssw/ | ||||
| Parent Project URL | https://www.nasa.gov/goddard | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Ocean Data Science Software Repositories - NASA's Goddard Space Flight Center | ||||
| Original (non-English) name | |||||
| Acronym | OCSSW - GSFC | ||||
| Citation | |||||
| Abstract | The following Git repository links are for the OceanColor Science Software (OCSSW) maintained by the Ocean Biology Processing Group and distributed to the public with the SeaDAS package. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
| Interface Languages | |||||
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https://odv.awi.de
Ocean Data View (ODV) is a software package for the interactive exploration, analysis and visualizat ...
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| Submitter/Owner | Peter H. Pissierssens ( OceanExpert : 36337 ) | ||||
| Submitter/Owner Role | Other | ||||
| Datasource URL | https://odv.awi.de | ||||
| Parent Project URL | https://www.awi.de/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Ocean Data View | ||||
| Original (non-English) name | |||||
| Acronym | ODV | ||||
| Citation | |||||
| Abstract | Ocean Data View (ODV) is a software package for the interactive exploration, analysis and visualization of oceanographic and other geo-referenced profile, time-series, trajectory or sequence data. ODV runs on Windows, Mac OS X, Linux, and UNIX (Solaris, Irix, AIX) systems. ODV data and configuration files are platform-independent and can be exchanged between different systems. Use ODV to produce: - property/property plots of selected stations, - scatter plots for sets of stations, - color sections along arbitrary cruise tracks, - color distributions on general isosurfaces, - temporal evolution plots of tracer fields, - differences of tracer fields between repeats, - geostrophic velocity sections, - animations (3MB) - interrupted maps. ODV can display original data points or gridded fields based on the original data. ODV has two fast weighted-averaging gridding algorithms as well as the advanced DIVA gridding software built-in. Gridded fields can be color-shaded and/or contoured. ODV supports five different map projections and can be used to produce high-quality cruise maps. ODV graphics output can be sent directly to printers or may be exported to PostScript, gif, png, or jpg files. The resolution of exported graphics files is specified by the user and not limited by the pixel resolution of the screen. The ODV data format allows dense storage and very fast data access. Large data collections with millions of stations can easily be maintained and explored on inexpensive desktop and notebook computers. Data from Argo, GTSPP, CCHDO, CORA, World Ocean Database, World Ocean Atlas, World Ocean Circulation Experiment (WOCE), SeaDataNet, and Medar/Medatlas can be directly imported into ODV. Ready-to-use versions of the WOCE data, the gridded World Ocean Atlas as well as many other important geoscience datasets are available for download. ODV also supports the netCDF format and lets you explore and visualize CF, COARDS, GDT and CDC compliant netCDF datasets. This works with netCDF files on your local machine as well as with remote netCDF files served by an OPeNDAP server. Climate data in netCDF format are available here. The various global or regional high-resolution coastline and topography resources can be installed via the View>Settings option. Packages for special regions of interest can be produced on request. ODV has more than 70,000 registered users at leading research institutes worldwide. The UNESCO Ocean Teacher project employs ODV as one of its main analysis and display tools. In addition, ODV is used as a visualization tool for the Pangaea information system. Pangaea data sets can be easily converted into ODV collections using the Pan2Applic application. ODV may be used free of charge for non-commercial, non-military research, and teaching purposes. If used in scientific papers, reports, or posters, ODV must be referenced as follows: Schlitzer, Reiner, Ocean Data View, odv.awi.de, 2020. Usage of ODV for commercial and military purposes requires the purchase of an ODV software license. For more information please see the ODV license document. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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https://github.com/oceanicsdotio/oceanics.io
Oceanics.io is a web application for portable high-performance computing and visualization.
The i ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/oceanicsdotio/oceanics.io | ||||
| Parent Project URL | https://www.oceanics.io/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | oceanics.io | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | Oceanics.io is a web application for portable high-performance computing and visualization. The interface and utilities ingest sensor and model data and metadata, and parse them into discoverable databases. These services usually run in Docker containers configured to receive and route traffic between computing environments and networked devices. Data persist in cloud object storage. Simulations run in the browser using Web Assembly, client side parallelism, and GPU acceleration. Backend services are provided through our graph-based API for proprietary ocean data. The runtime supports parallelism, and infrastructure scales to meet high throughput or availability requirements. Software is maintained by Oceanicsdotio LLC and provided as is with no warranty or guarantee. Our core systems will always be open source, and we welcome collaboration. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
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https://github.com/hetland/octant
Ocean C-grid model setup and analysis tools, for the numerical mariner.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/hetland/octant | ||||
| Parent Project URL | |||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | OCean modeling seTup and ANalysis Tools | ||||
| Original (non-English) name | |||||
| Acronym | OCTANT | ||||
| Citation | |||||
| Abstract | Ocean C-grid model setup and analysis tools, for the numerical mariner. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
| Interface Languages | |||||
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https://odv.awi.de/data/ocean/
Ocean Data View (ODV) is a software package for the interactive exploration, analysis and visualizat ...
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| Submitter/Owner | Tim Boyer ( OceanExpert : 16967 ) | ||||
| Submitter/Owner Role | Other | ||||
| Datasource URL | https://odv.awi.de/data/ocean/ | ||||
| Parent Project URL | https://odv.awi.de/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Oceanographic Datasets in ODV Format | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | Ocean Data View (ODV) is a software package for the interactive exploration, analysis and visualization of oceanographic and other geo-referenced profiles, time-series, trajectory or sequence data. ODV runs on Windows, Mac OS X, Linux, and UNIX (Solaris, Irix, AIX) systems. ODV data and configuration files are platform-independent and can be exchanged between different systems. Use ODV to produce: - property/property plots of selected stations, - scatter plots for sets of stations, - color sections along arbitrary cruise tracks, - color distributions on general isosurfaces, - temporal evolution plots of tracer fields, - differences of tracer fields between repeats, - geostrophic velocity sections, - animations (3MB), - interrupted maps. ODV can display original data points or gridded fields based on the original data. ODV has two fast weighted-averaging gridding algorithms as well as the advanced DIVA gridding software built-in. Gridded fields can be color-shaded and/or contoured. ODV supports five different map projections and can be used to produce high-quality cruise maps. ODV graphics output can be sent directly to printers or may be exported to PostScript, gif, png, or jpg files. The resolution of exported graphics files is specified by the user and not limited by the pixel resolution of the screen. The ODV data format allows dense storage and very fast data access. Large data collections with millions of stations can easily be maintained and explored on inexpensive desktop and notebook computers. Data from Argo, GTSPP, CCHDO, CORA, World Ocean Database, World Ocean Atlas, World Ocean Circulation Experiment (WOCE), SeaDataNet, and Medar/Medatlas can be directly imported into ODV. Ready-to-use versions of the WOCE data, the gridded World Ocean Atlas as well as many other important geoscience datasets are available for download. ODV also supports the netCDF format and lets you explore and visualize CF, COARDS, GDT and CDC compliant netCDF datasets. This works with netCDF files on your local machine as well as with remote netCDF files served by an OPeNDAP server. Climate data in netCDF format are available here. Various global or regional high-resolution coastline and topography resources can be installed via the View>Settings option. Packages for special regions of interest can be produced on request. ODV has more than 70,000 registered users at leading research institutes worldwide. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
| Interface Languages | |||||
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https://github.com/briochemc/OceanographyCruises.jl
An interface for dealing with oceanographic cruises data
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/briochemc/OceanographyCruises.jl | ||||
| Parent Project URL | |||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | OceanographyCruises.jl | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | An interface for dealing with oceanographic cruises data | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
| Interface Languages | |||||
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| Countries owning the source | |||||
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https://github.com/LijoDXL/OceanographyWithPython
A general introduction to Python as a tool for data analysis in oceanography.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/LijoDXL/OceanographyWithPython | ||||
| Parent Project URL | https://lijodxl.github.io/OceanographyWithPython/README.html | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Oceanography With Python package | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | A general introduction to Python as a tool for data analysis in oceanography. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
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| Countries owning the source | |||||
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https://github.com/hainegroup/oceanspy
OceanSpy is an open-source and user-friendly Python package that enables scientists and interested a ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/hainegroup/oceanspy | ||||
| Parent Project URL | https://oceanspy.readthedocs.io/en/latest/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | oceanspy package | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | Almansi, M., R. Gelderloos, T. W. N. Haine, A. Saberi, and A. H. Siddiqui (2019). OceanSpy: A Python package to facilitate ocean model data analysis and visualization. Journal of Open Source Software, 4(39), 1506, doi: https://doi.org/10.21105/joss.01506 | ||||
| Abstract | OceanSpy is an open-source and user-friendly Python package that enables scientists and interested amateurs to analyze and visualize ocean model datasets. OceanSpy builds on software packages developed by the Pangeo community, in particular xarray, dask, and xgcm. The integration of dask facilitates scalability, which is important for the petabyte-scale simulations that are becoming available. Simulations of ocean currents using numerical circulation models are becoming increasingly realistic. At the same time, these models generate increasingly large volumes of model output data, making the analysis of model data harder. Using OceanSpy, model data can be easily analyzed in the way observational oceanographers analyze field measurements. OceanSpy can be used as a standalone package for analysis of local circulation model output, or it can be run on a remote data-analysis cluster, such as the Johns Hopkins University SciServer system, which hosts several simulations and is publicly available. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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https://github.com/CoherentStructures/OceanTools.jl
Julia tools for working with some Oceanographical Data.
This package was previously known as Copern ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/CoherentStructures/OceanTools.jl | ||||
| Parent Project URL | https://marine.copernicus.eu/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | OceanTools.jl | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | Julia tools for working with some Oceanographical Data. This package was previously known as CopernicusUtils.jl. Utilities for working with oceanographic datasets from the Copernicus product family. This package can be used (amongst other things) to generate large test cases for use with CoherentStructures.jl. Ability to load velocity fields of arbitrary space-time cubes from Copernicus CMEMS data files. Fast, allocation free interpolation on regular grids supporting periodic boundaries. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
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https://github.com/cywhale/ODB
My R works in Ocean Data Bank (ODB), Institute of Oceanography, NTU, Taiwan
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/cywhale/ODB | ||||
| Parent Project URL | https://cywhale.github.io/ODB/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | ODB package | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | My R works in Ocean Data Bank (ODB), Institute of Oceanography, NTU, Taiwan | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
| Interface Languages | |||||
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| Countries owning the source | |||||
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http://gis.ices.dk/gis/rest/services
The Services Directory allows you to browse the contents of an ArcGIS Server and obtain information ...
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| Submitter/Owner | Mr. Neil Holdsworth ( OceanExpert : 16535 ) | ||||
| Submitter/Owner Role | IODE ADU | ||||
| Datasource URL | http://gis.ices.dk/gis/rest/services | ||||
| Parent Project URL | |||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | OGC Services - International Council for the Exploration of the Sea | ||||
| Original (non-English) name | |||||
| Acronym | OGC Services - ICES | ||||
| Citation | |||||
| Abstract | The Services Directory allows you to browse the contents of an ArcGIS Server and obtain information that can be useful when developing applications. The Services Directory is a view of the ArcGIS Server REST API in HTML format. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
| Interface Languages | |||||
| Contributing Countries | |||||
| Countries owning the source | |||||
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https://github.com/oceanhackweek/ohw19-project-co_locators
Co-locate oceanographic data by establishing constraints Easy access to oceanographic data co-locate ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/oceanhackweek/ohw19-project-co_locators | ||||
| Parent Project URL | https://ioos.us/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | ohw19 project co-locators package | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | Co-locate oceanographic data by establishing constraints Easy access to oceanographic data co-located in space and time via Python | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
| Interface Languages | |||||
| Contributing Countries | |||||
| Countries owning the source | |||||
| Sea Region | |||||
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https://github.com/oceandatainterop/oiip-services
Backend visualization services for the Oceanographic In-situ Data Interoperability Project (OIIP).
...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/oceandatainterop/oiip-services | ||||
| Parent Project URL | https://oiip.jpl.nasa.gov/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Oiip-services | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | Backend visualization services for the Oceanographic In-situ Data Interoperability Project (OIIP). OIIP Services provides the back-end infrastructure services for the Oceanographic In-situ Data Interoperability Project (OIIP). It comprises of GeoServer and Solr. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
| Interface Languages | |||||
| Contributing Countries | |||||
| Countries owning the source | |||||
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| Obtaining data from | |||||
https://github.com/martalmeida/okean
Ocean modelling and analysis tools
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|||||
| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/martalmeida/okean | ||||
| Parent Project URL | |||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | okean package | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | Ocean modelling and analysis tools | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
| Interface Languages | |||||
| Contributing Countries | |||||
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| Obtaining data from | |||||
https://github.com/omuse-geoscience/omuse
The Oceanographic Multi-purpose Software Environment: a package for multi-physics and multi-scale ea ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/omuse-geoscience/omuse | ||||
| Parent Project URL | https://amusecode.github.io/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | omuse package | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | Portegies Zwart, Simon, van Elteren, Arjen, Pelupessy, Inti, McMillan, Steve, Rieder, Steven, de Vries, Nathan, … Altay, Gabriel. (2019, June 28). AMUSE: the Astrophysical Multipurpose Software Environment (Version v12.0.0). Zenodo. http://doi.org/10.5281/zenodo.3260650 | ||||
| Abstract | The Oceanographic Multi-purpose Software Environment: a package for multi-physics and multi-scale earth science simulations. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
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http://www.fao.org/fishery/statistics/software/open-artfish/en
OPEN ARTFISH stands for Open Approaches, Rules and Techniques for Fisheries statistical monitoring. ...
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| Submitter/Owner | Mr. Marc Taconet ( OceanExpert : 16546 ) | ||||
| Submitter/Owner Role | FAO | ||||
| Datasource URL | http://www.fao.org/fishery/statistics/software/open-artfish/en | ||||
| Parent Project URL | http://www.fao.org/ | ||||
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| English name | Open ArtFIsh - FAO | ||||
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| Citation | © FAO 2017-2020. Fisheries and aquaculture software. OPEN ARTFISH. In: FAO Fisheries Division [online]. Rome. Updated 18 August 2017. [Cited 9 September 2020]. http://www.fao.org/fishery/ | ||||
| Abstract | OPEN ARTFISH stands for Open Approaches, Rules and Techniques for Fisheries statistical monitoring. It consists of the OPEN ARTFISH software application and its backbone OPEN ARTFISH database. The software application is built to estimate the total catch and value by species for sampling schemes of small-scale fisheries. Other major outputs of the OPEN ARTFISH are guidelines, manuals, training course and material. There are several existing methods of statistical fisheries data collection. However, because fisheries are dominated by large and dispersed small-scale fleet, data have to be collected through sample-based surveys. Estimates of annual catches therefore depend heavily on samples of catches and fishing effort from fish landings. However, any sampling design must be achieved at the lowest possible cost; this means that any sampling scheme must be designed to minimize sampling error for a given cost. For this purpose, OPEN ARTFISH was designed as a standardized tool that can be customized to fisheries in developing countries to deliver a cost-effective and sustainable routine for collection, storage and analysis of data. It is based on the appropriate statistical procedures and sampling design, as described thoroughly by Stamatopoulos (2002) and de Graaf et al. (2014). OPEN ARTFISH replaces ARTFISH, which FAO made available in 1993. The old version of ARTFISH is not compatible with Windows 7 or higher version. OPEN ARTFISH is "Open" because it can be easily adapted to local requirements and more specific outputs/reports can easily be added while maintaining the appropriate statistical procedures. | ||||
| Technical contact email | please check the record details page | ||||
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| Technical notes | FIGIS | ||||
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https://opendata.aemet.es/centrodedescargas/inicio
AEMET OpenData is an API REST (Application Programming Interface. REpresentational State Transfer) t ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://opendata.aemet.es/centrodedescargas/inicio | ||||
| Parent Project URL | http://www.aemet.es/en/portada | ||||
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| English name | OpenData - Spanish Meteorological Agency | ||||
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| Acronym | OpenData - AEMET | ||||
| Citation | |||||
| Abstract | AEMET OpenData is an API REST (Application Programming Interface. REpresentational State Transfer) through which can be downloaded free data listed in Annex II of the resolution of 30 December 2015 of AEMET, in which the public prices that will govern the provision of meteorological and climatological services are established. This resolution has been published in the BOE (Official State Gazette) no. 4, on 5 January 2016. AEMET OpenData allows two types of access: General access and AEMET OpenData API. Both of them provide access to the same data catalogue and they offer downloading data in reusable formats. General access: This is a chart access for the general public. It aims to enable user to get access to data in a user-friendly way. Interaction with data is punctual, it's made through a human user-friendly interface, directed step by step and by choosing options. AEMET OpenData API: AEMET OpenData API allows other interaction way with the data: this interaction can be periodic or programmed, from any programming language, without user-friendly interfaces, with self-discovery option. This make possible that AEMET data can be included by re-users of information in their own information systems. | ||||
| Technical contact email | please check the record details page | ||||
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http://www.pangaea.de
The information system PANGAEA is operated as an Open Access library aimed at archiving, publishing ...
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| Submitter/Owner | Dr. Hannes Grobe ( OceanExpert : 8457 ) | ||||
| Submitter/Owner Role | Other | ||||
| Datasource URL | http://www.pangaea.de | ||||
| Parent Project URL | http://www.pangaea.de | ||||
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| ODIS-Arch Type | Sitemap | ||||
| English name | PANGAEA | ||||
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| Abstract | The information system PANGAEA is operated as an Open Access library aimed at archiving, publishing and distributing georeferenced data from earth system research. The system guarantees long-term availability of its content through a commitment of the hosting institutions. Most of the data are freely available and can be used under the terms of the license mentioned on the data set description. A few password protected data sets are under moratorium from ongoing projects. The description of each data set is always visible and includes the principle investigator (PI) who may be asked for access. Each dataset can be identified, shared, published and cited by using a Digital Object Identifier (DOI Name). PANGAEA also allows data to be published as supplements to science articles (example) or as citable data collections in combination with data journals like ESSD, Geoscience Data Journal, Scientific Data, or others. | ||||
| Technical contact email | please check the record details page | ||||
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https://www.giss.nasa.gov/tools/panoply/
Panoply netCDF, HDF and GRIB Data Viewer
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.giss.nasa.gov/tools/panoply/ | ||||
| Parent Project URL | https://www.giss.nasa.gov/ | ||||
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| English name | Panoply - NASA | ||||
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| Acronym | Panoply - NASA | ||||
| Citation | |||||
| Abstract | Panoply netCDF, HDF and GRIB Data Viewer | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/OceanParcels/parcels
The OceanParcels project develops Parcels (Probably A Really Computationally Efficient Lagrangian Si ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/OceanParcels/parcels | ||||
| Parent Project URL | https://oceanparcels.org/ | ||||
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| English name | Parcels Probably A Really Computationally Efficient Lagrangian Simulator | ||||
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| Citation | The manuscript detailing the first release of Parcels, version 0.9, has been published in Geoscientific Model Development and can be cited as Lange, M. and E van Sebille (2017) Parcels v0.9: prototyping a Lagrangian Ocean Analysis framework for the petascale age. Geoscientific Model Development, 10, 4175-4186. https://doi.org/10.5194/gmd-2017-167 The manuscript detailing version 2.0 of Parcels is available at Geoscientific Model Development and can be cited as: Delandmeter P. and E van Sebille (2019) The Parcels v2.0 Lagrangian framework: new field interpolation schemes. Geoscientific Model Development, 12, 3571-3584. https://doi.org/10.5194/gmd-12-3571-2019 | ||||
| Abstract | The OceanParcels project develops Parcels (Probably A Really Computationally Efficient Lagrangian Simulator), a set of Python classes and methods to create customisable particle tracking simulations using output from Ocean Circulation models. Parcels can be used to track passive and active particulates such as water, plankton, plastic and fish. The code from the OceanParcels project is licensed under an open source MIT license and can be downloaded from github.com/OceanParcels/parcels or installed via anaconda.org/conda-forge/parcels | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/gher-ulg/PhysOcean.jl
You will find here some general tools for Physical Oceanography (state equations, bulk formulas, geo ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/gher-ulg/PhysOcean.jl | ||||
| Parent Project URL | http://labos.ulg.ac.be/gher/ | ||||
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| English name | PhysOcean.jl | ||||
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| Abstract | You will find here some general tools for Physical Oceanography (state equations, bulk formulas, geostrophic velocity calculations ...). | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/pyoceans/pocean-core
A python framework for working with met-ocean data.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/pyoceans/pocean-core | ||||
| Parent Project URL | https://pyoceans.github.io/pocean-core/docs/ | ||||
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| English name | pocean-core package | ||||
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| Abstract | A python framework for working with met-ocean data. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/seaflow-uw/popcycle
Popcycle is an R package that offers a reproducible approach to process, calibrate and curate flow c ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/seaflow-uw/popcycle | ||||
| Parent Project URL | https://seaflow.netlify.app/ | ||||
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| English name | popcycle package | ||||
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| Abstract | Popcycle is an R package that offers a reproducible approach to process, calibrate and curate flow cytometry data collected by SeaFlow. | ||||
| Technical contact email | please check the record details page | ||||
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http://www.ccpo.odu.edu/POMWEB/index.html
Welcome to The Princeton Ocean Model (POM), a simple-to-run yet powerful ocean modeling code to simu ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://www.ccpo.odu.edu/POMWEB/index.html | ||||
| Parent Project URL | https://aos.princeton.edu/ | ||||
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| English name | Princeton Ocean Model | ||||
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| Abstract | Welcome to The Princeton Ocean Model (POM), a simple-to-run yet powerful ocean modeling code to simulate a wide-range of problems, from small-scale coastal processes to global ocean climate change. POM is a sigma coordinate (terrain-following), free surface ocean model with embedded turbulence and wave sub-models, and wet-dry capability. POM has been a pioneering force in ocean research since the early 1980s, and continues with innovative new developments by its thousands of users worldwide until today. | ||||
| Technical contact email | please check the record details page | ||||
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https://i-marine.d4science.org/group/protectedareaimpactmaps
The PAIM Virtual Research Environment (VRE) provides the user with tools to visualize, analyze and r ...
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| Submitter/Owner | Mr. Marc Taconet ( OceanExpert : 16546 ) | ||||
| Submitter/Owner Role | FAO | ||||
| Datasource URL | https://i-marine.d4science.org/group/protectedareaimpactmaps | ||||
| Parent Project URL | https://i-marine.d4science.org/group/imarine-gateway | ||||
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| English name | Protected Areas Impact Maps - iMarine | ||||
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| Abstract | The PAIM Virtual Research Environment (VRE) provides the user with tools to visualize, analyze and report on a range of ecologically important seafloor features within marine protected areas - a key component of Maritime Spatial Planning (MSP). The interface is built around an interactive map viewer that provides visualization of a range of seafloor features. The interface utilizes cloud computing to analyze the representation of seafloor features within marine protected areas for a selected exclusive economic zone or marine ecoregion. Finally, the interface presents the results of this analysis in an interactive report, with options to download the report or the results of the analysis. The interface will assist users in understanding which seafloor features occur in an area and how these are currently represented in marine protected areas. This information can be used to prioritize future planning of protected areas to include seafloor features that are poorly represented. | ||||
| Technical contact email | please check the record details page | ||||
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| Technical notes | iMarine.D4Science | ||||
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https://www.bodc.ac.uk/data/documents/nodb/254621/
The origins of POLCOMS lie with studies of frontal dynamics in the North Sea for the UK Natural Envi ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.bodc.ac.uk/data/documents/nodb/254621/ | ||||
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| English name | Proudman Oceanographic Laboratory Coastal Ocean Modelling System | ||||
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| Acronym | POLCOMS | ||||
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| Abstract | The origins of POLCOMS lie with studies of frontal dynamics in the North Sea for the UK Natural Environment Research Council (NERC) North Sea Project. Since then it has been extensively developed both as a hydrodynamic and a multi-disciplinary model, including use of its sediment transport module, coupling to the European Regional Seas Ecosystem model (ERSEM) and the Los Alamos Climate Ocean and Sea Ice (CICE) model. It has been coupled to the General Ocean Turbulence Model (GOTM) to allow a range of improved turbulence models. It has been used extensively in POL's (since April 2010, part of the UK National Oceanography Centre (NOC)) and Plymouth Marine Laboratory's (PML) core research programmes, and in on-going research contracts with the UK Meteorological Office and a wide range of NERC and European Union (EU) funded research projects and programmes. These include the EU 'Marine Environment and Security for the European Area' (MERSEA) project, the NERC 'Centre for Air-Sea Interactions and Fluxes' (CASIX) programme, 'Marine Productivity' (MARPROD), the 'Land-Ocean Interaction Study' (LOIS), the NERC 'Rapid Climate Change programme' (RAPID) and the EU Framework 5 project 'Optimal Design of Observational Networks' (ODON). It was used as the 'work-horse' shelf sea model for the UK marine research centre programme 'Oceans 2025', and also by the National Centre for Ocean Forecasting (NCOF). POLCOMS is a three-dimensional baroclinic Arakawa B-grid model designed for the study of shelf sea processes and ocean-shelf interaction. It can also be used in estuarine environments. The model solves the momentum and scalar transport equations for oceanographic applications with realistic topography, bathymetry and forcing. The underlying hydrodynamics in POLCOMS are the shallow water equations with the hydrostatic and Boussinesq approximations. This limits model applicability to flows where the vertical acceleration is small and in practice this imposes a minimum horizontal resolution; simulation can be made at resolutions finer than this but at no benefit to the solution. As a rough guide this can be taken as half the maximum water depth. POLCOMS can be coupled to a range of different modelling systems: notably ERSEM, GOTM and CICE as mentioned above, and the 3rd generation WAve Model (WAM). | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/pwcazenave/PyFVCOM
PyFVCOM is a collection of various tools and utilities which can be used to extract, analyse and plo ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/pwcazenave/PyFVCOM | ||||
| Parent Project URL | https://gitlab.ecosystem-modelling.pml.ac.uk/fvcom/pyfvcom | ||||
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| English name | PyFVCOM package | ||||
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| Abstract | PyFVCOM is a collection of various tools and utilities which can be used to extract, analyse and plot input and output files from FVCOM as well as generate model inputs. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/pymoc/pymoc
A simple model suite for the MOC.
PyMOC is a suite of python modules to build simple "toy" models f ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/pymoc/pymoc | ||||
| Parent Project URL | https://pymoc.github.io/ | ||||
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| English name | pymoc package | ||||
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| Abstract | A simple model suite for the MOC. PyMOC is a suite of python modules to build simple "toy" models for ocean's Meridional Overturning Circulation (MOC). The model suite consists of several independent modules representing various ocean regions and dynamics. Specifically, there are modules for calculating the 1-D advective-diffusive buoyancy tendencies averaged over ocean basins, given the net isopycnal transports in and out of the column. The isopycnal transports are computed as diagnostic relationships, with modules to calculate the wind- and eddy-driven residual circulation in a southern-ocean-like re-entrant channel, as well as the geostrophic exchange between different basins or basin regions. These modules may be coupled to study the circulation in a wide range of different configurations. The intended audiences for this model are researchers, educators and students in the geophysical sciences. The goal is to provide an accessible model appropriate for newcomers to geophysical modeling, but with physics that reflect the current state of our theoretical understanding of the deep ocean overturning circulation. Configuration and execution of the PyMOC suite requires relatively little technical knowledge or computational resources. All modules are written in pure Python, and the only core dependencies are the NumPy and SciPy libraries. If configuration of your base system environment is undesirable, a preconfigured Docker container has been made available with all required software libraries pre-installed. Anybody is more than welcome to contibute to the development of PyMOC, but is asked to adhere to the goal of keeping PyMOC well tested, stable, maintainable, and documented. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/hetland/pygridgen
API for interpolation on regular grid, curvilinear orthoganal grid, unstructured grid.
A high-level ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/hetland/pygridgen | ||||
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| English name | pyoceans gridded package | ||||
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| Abstract | API for interpolation on regular grid, curvilinear orthoganal grid, unstructured grid. A high-level general-use API for working with regular, curvilinear, and unstructured grids. This project is under heavy development and is likely to change drastically until the 1.0 release. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/ESMG/pyroms
Python tools for the Regional Ocean Modeling System (ROMS).
Pyroms is a collection of tools to proc ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/ESMG/pyroms | ||||
| Parent Project URL | https://github.com/ESMG | ||||
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| English name | pyroms package | ||||
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| Abstract | Python tools for the Regional Ocean Modeling System (ROMS). Pyroms is a collection of tools to process input and output files from the Regional Ocean Modeling System, ROMS. It was originally started by Rob Hetland as a googlecode project, then he morphed it into octant, also at googlecode. Frederic Castruccio then created a fork and renamed it back to pyroms. Pyroms is now hosted on GitHub.com in the ESMG/pyroms repository. This version is on the python3 branch. It requires Python 3.4 or later. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/GrumpyNounours/PySeidon
Suite of tools for the tidal energy community and FVCOM users.
This project aims to meet multiple o ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/GrumpyNounours/PySeidon | ||||
| Parent Project URL | http://fvcom.smast.umassd.edu/ | ||||
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| English name | PySeidon pakage | ||||
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| Abstract | Suite of tools for the tidal energy community and FVCOM users. This project aims to meet multiple objectives of the EcoEII consortium through the setting of a dedicated server and the development of Python based packages. This project can be seen as two folded. On the one hand, it aims to enhance data accessibility for all the partners of the EcoEII consortium thanks to simple client protocols. On the other hand, it aims to develop standardised numerical toolbox gathering specific analysis functions for measured and simulated data (FVCOM model) to the EcoEII partners. Additionally, this project was the ideal opportunity to transport various scripts and packages accumulated over the years into Python. These scripts and packages have been extensively used by the tidal energy community for more than a decade. The 'Contributors' section of this document is a mere attempt to acknowledge the work of those who participated more or less indirectly to the development of this tool box. We are consciously standing on the shoulders of a multitude giants...so please forgive us if we forgot one of them. | ||||
| Technical contact email | please check the record details page | ||||
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https://pypi.org/project/ctd/
Tools to load hydrographic data as pandas DataFrame with some handy methods for data pre-processing ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://pypi.org/project/ctd/ | ||||
| Parent Project URL | https://github.com/ocefpaf/python-ctd | ||||
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| ODIS-Arch Type | |||||
| English name | python-ctd package | ||||
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| Acronym | |||||
| Citation | Fernandes, . (2014, August 25). python-ctd v0.2.1 (Version v0.2.1). Zenodo. http://doi.org/10.5281/zenodo.11396 | ||||
| Abstract | Tools to load hydrographic data as pandas DataFrame with some handy methods for data pre-processing and analysis This module can load SeaBird CTD (CNV), Sippican XBT (EDF), and Falmouth CTD (ASCII) formats. | ||||
| Technical contact email | please check the record details page | ||||
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https://pypi.org/project/seabird/
This is a parser for Sea Bird CTD and TSG output files.
The Sea Bird CTD post processed data usua ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://pypi.org/project/seabird/ | ||||
| Parent Project URL | https://seabird.readthedocs.io/en/latest/ | ||||
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| English name | python-seabird package | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | Guilherme Castelão, & Luiz Irber. (2016, December 4). castelao/seabird: 0.10 (Version v0.10.0). Zenodo. http://doi.org/10.5281/zenodo.192478 | ||||
| Abstract | This is a parser for Sea Bird CTD and TSG output files. The Sea Bird CTD post processed data usually uses the .cnv extention. The purpose of the PySeabird is to parse this type of files, considering the different versions along the time, as well as different setups. At this point my goal is to have an object with the attributes parsed from the header, and the data as Masked Arrays, so that the user doesn’t need to loose time evaluating the version and details of that cnv, but have it in a standard pattern, ready to use. ATENTION, this is not an official package, so if you have trouble with it, do not complain to Sea-Bird. Open an issue at GitHub (https://github.com/castelao/seabird/issues), and I’ll try to help you. | ||||
| Technical contact email | please check the record details page | ||||
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https://pypi.org/project/seawater/
This is a Python re-write of the CSIRO seawater toolbox (SEAWATER-3.3) for calculating the propertie ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://pypi.org/project/seawater/ | ||||
| Parent Project URL | https://pythonhosted.org/seawater/ | ||||
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| English name | python-seawater package | ||||
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| Abstract | This is a Python re-write of the CSIRO seawater toolbox (SEAWATER-3.3) for calculating the properties of sea water. The package uses the formulas from Unesco’s joint panel on oceanographic tables and standards, UNESCO 1981 and UNESCO 1983 (EOS-80). The EOS-80 library is considered now obsolete; it is provided here for compatibility with old scripts, and to allow a smooth transition to the new TEOS-10. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/aodn/python-aodntools
Repository for templates and code relating to generating standard NetCDF files for the Australia Oce ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/aodn/python-aodntools | ||||
| Parent Project URL | https://imos.org.au/ | ||||
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| English name | python aodntools | ||||
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| Abstract | Repository for templates and code relating to generating standard NetCDF files for the Australia Ocean Data Network | ||||
| Technical contact email | please check the record details page | ||||
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https://oceanobservatories.org/python-jupyter-notebooks/
The OOI strives to make data accessible and usable so scientists can easily apply it to their resear ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://oceanobservatories.org/python-jupyter-notebooks/ | ||||
| Parent Project URL | https://oceanobservatories.org/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Python Jupyter Notebooks - Ocean Observatories Initiative | ||||
| Original (non-English) name | |||||
| Acronym | Python Jupyter Notebooks - OOI | ||||
| Citation | |||||
| Abstract | The OOI strives to make data accessible and usable so scientists can easily apply it to their research questions and teachers can integrate it into their classroom instructions. Two ways in which we do this is to use popular programming languages like Python and tools like Jupyter Notebooks, both of which are widely used in the research community. Python excels at scalability, making it possible for scientists to approach problems in many different ways. Jupyter Notebooks, an open-source web application, allows users to create and share documents containing live code, equations, visualizations, and other text, which help expand understanding of data and its potential applications. The following are some ways Python is applied to OOI data and examples of Jupyter Notebooks using OOI data | ||||
| Technical contact email | please check the record details page | ||||
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http://doi.org/10.5281/zenodo.3666630
Misc helper functions for ocean sciences.
Most of the functions here are Python versions of some ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://doi.org/10.5281/zenodo.3666630 | ||||
| Parent Project URL | https://pyoceans.github.io/python-oceans/ | ||||
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| ODIS-Arch Type | |||||
| English name | Python Oceans package | ||||
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| Citation | Filipe, André Palóczy, Arnaldo Russo, xiao, Jesse, & Rich Signell. (2020, February 13). pyoceans/python-oceans: v0.8.1 (Version v0.8.1). Zenodo. http://doi.org/10.5281/zenodo.3666630 | ||||
| Abstract | Misc helper functions for ocean sciences. Most of the functions here are Python versions of some common MatlabTM functions. They are untested and probably buggy. Use with caution! | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/sam-cox/pytides
Tide prediction and analysis in python.
Pytides is small Python package for the analysis and predic ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/sam-cox/pytides | ||||
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| English name | pytides package | ||||
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| Abstract | Tide prediction and analysis in python. Pytides is small Python package for the analysis and prediction of tides. Pytides can be used to extrapolate the tidal behaviour at a given location from its previous behaviour. The method used is that of harmonic constituents, in particular as presented by P. Schureman in Special Publication 98. The fitting of amplitudes and phases is handled by Scipy's leastsq minimisation function. Pytides currently supports the constituents used by NOAA, with plans to add more constituent sets. It is therefore possible to use the amplitudes and phases published by NOAA directly, without the need to perform the analysis again (although there may be slight discrepancies for some constituents). It is recommended that all interactions with pytides which require times to be specified are in the format of naive UTC datetime instances. In particular, note that pytides makes no adjustment for summertime or any other civil variations within timezones. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/mvdh7/pytzer
The Pitzer model for chemical activities in aqueous solutions implemented in Python.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/mvdh7/pytzer | ||||
| Parent Project URL | https://pytzer.readthedocs.io/en/latest/ | ||||
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| English name | pytzer package | ||||
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| Citation | |||||
| Abstract | The Pitzer model for chemical activities in aqueous solutions implemented in Python. | ||||
| Technical contact email | please check the record details page | ||||
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http://doi.org/10.5281/zenodo.3510098
PyWavelets is a Python wavelet transforms module that includes:
nD Forward and Inverse Discrete W ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://doi.org/10.5281/zenodo.3510098 | ||||
| Parent Project URL | https://pywavelets.readthedocs.io/en/latest/index.html | ||||
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| English name | PyWavelets package | ||||
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| Citation | Gregory R. Lee, Ralf Gommers, Kai Wohlfahrt, Filip Wasilewski, Aaron O'Leary, Holger Nahrstaedt, … asnt. (2019, October 19). PyWavelets/pywt: PyWavelets 1.1.1 (Version v1.1.1). Zenodo. http://doi.org/10.5281/zenodo.3510098 | ||||
| Abstract | PyWavelets is a Python wavelet transforms module that includes: nD Forward and Inverse Discrete Wavelet Transform (DWT and IDWT) 1D and 2D Forward and Inverse Stationary Wavelet Transform (Undecimated Wavelet Transform) 1D and 2D Wavelet Packet decomposition and reconstruction 1D Continuous Wavelet Tranfsorm Computing Approximations of wavelet and scaling functions Over 100 built-in wavelet filters and support for custom wavelets Single and double precision calculations Real and complex calculations Results compatible with Matlab Wavelet Toolbox (TM) | ||||
| Technical contact email | please check the record details page | ||||
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https://qgis.org/en/site/
Create, edit, visualise, analyse and publish geospatial information on Windows, Mac, Linux, BSD and ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://qgis.org/en/site/ | ||||
| Parent Project URL | https://qgis.org/ | ||||
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| ODIS-Arch Type | |||||
| English name | QGIS Software | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | Create, edit, visualise, analyse and publish geospatial information on Windows, Mac, Linux, BSD and mobile devices. QGIS is a professional GIS application that is built on top of and proud to be itself Free and Open Source Software (FOSS). QGIS is a user friendly Open Source Geographic Information System (GIS) licensed under the GNU General Public License. QGIS is an official project of the Open Source Geospatial Foundation (OSGeo). It runs on Linux, Unix, Mac OSX, Windows and Android and supports numerous vector, raster, and database formats and functionalities. QGIS is a volunteer driven project. We welcome contributions in the form of code contributions, bug fixes, bug reports, contributed documentation, advocacy and supporting other users on our mailing lists and gis.stackexchange.com. If you are interested in actively supporting the project, you can find more information under the development menu and on the QGIS Wiki. | ||||
| Technical contact email | please check the record details page | ||||
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http://ices.dk/data/tools/Pages/quality-control.aspx
All data quality control checks performed by the online screening programs, or by ICES data officers ...
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| Submitter/Owner | Mr. Neil Holdsworth ( OceanExpert : 16535 ) | ||||
| Submitter/Owner Role | IODE ADU | ||||
| Datasource URL | http://ices.dk/data/tools/Pages/quality-control.aspx | ||||
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| English name | Quality Control Checks - International Council for the Exploration of the Sea | ||||
| Original (non-English) name | |||||
| Acronym | Quality Control Checks - ICES | ||||
| Citation | |||||
| Abstract | All data quality control checks performed by the online screening programs, or by ICES data officers before data are uploaded to the thematic portals are documented in the Quality Control Database (QC DB). | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/BjerknesClimateDataCentre/QuinCe
QuinCe is a system for the automatic QC of data collected from ship-board scientific instruments.
S ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/BjerknesClimateDataCentre/QuinCe | ||||
| Parent Project URL | https://github.com/BjerknesClimateDataCentre | ||||
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| English name | QuinCe package | ||||
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| Citation | |||||
| Abstract | QuinCe is a system for the automatic QC of data collected from ship-board scientific instruments. See Documentation/Specification for more details of what the project does. | ||||
| Technical contact email | please check the record details page | ||||
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https://cran.r-project.org/web/packages/rdwd/vignettes/rdwd.html
rdwd is an R interface to data from the German weather service (DWD). rdwd is an R package to select ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://cran.r-project.org/web/packages/rdwd/vignettes/rdwd.html | ||||
| Parent Project URL | https://bookdown.org/brry/rdwd | ||||
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| English name | rdwd package | ||||
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| Citation | |||||
| Abstract | rdwd is an R interface to data from the German weather service (DWD). rdwd is an R package to select, download and read climate data from the German Weather Service (Deutscher Wetterdienst, DWD). The DWD provides thousands of datasets with weather observations online at opendata.dwd.de. Since May 2019, rdwd also supports reading the Radolan (binary) raster data at grids_germany. It provides three categories of services: find, select, download + read data vectorized, progress bars, no re-downloads index of files + meta data for three types of data: observational time series from 6k meteorological recording stations (2.5k active) -> rain, temperature, wind, sunshine, pressure, cloudiness, humidity, snow, … gridded raster data from radar + interpolation european data stock slowly growing (but reading functions not tested yet) All further information is available on the website: https://bookdown.org/brry/rdwd | ||||
| Technical contact email | please check the record details page | ||||
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https://www.mbari.org/products/research-software/
One of MBARI’s goals is to develop sophisticated systems for investigating the ocean and its inhab ...
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| Submitter/Owner | Peter H. Pissierssens ( OceanExpert : 36337 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.mbari.org/products/research-software/ | ||||
| Parent Project URL | https://www.mbari.org/ | ||||
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| English name | Research Software - Monterey Bay Aquarium Research Institute | ||||
| Original (non-English) name | |||||
| Acronym | Research Software - MBARI | ||||
| Citation | |||||
| Abstract | One of MBARI’s goals is to develop sophisticated systems for investigating the ocean and its inhabitants where high scientific potential exists. MBARI engineers have developed a variety of novel research software systems for processing, managing, and presenting diverse data sets. Some open source software is distributed “as is”, with no warranty, express or implied, of the quality or consistency. The software systems are provided without support and without obligation on the part of the Monterey Bay Aquarium Research Institute to assist in its use, correction, modification, or enhancement. Video Annotation and Reference System: the Video Annotation and Reference System (VARS) is a software interface and database system that provides tools for describing, cataloging, retrieving, and viewing the visual, descriptive, and quantitative data associated with MBARI’s deep-sea video archives. Oceanographic Decision Support System: in the ODSS, ocean scientists collaboratively design their experiments, communicate with other participants, track asset locations and command robotic vehicles at sea. MB-System seafloor mapping software: MB-System is an open source software package for the processing and display of bathymetry and backscatter imagery data derived from multibeam, interferometry, and sidescan sonars. The source code for MB-System is freely available. Spatial Temporal Oceanographic Query System (STOQS) Data: STOQS is a geospatial database and web application designed to give oceanographers efficient integrated acccess to in situ measurement and ex situ sample data. Matlab scripts - Linear regressions: Model I and Model II regressions are statistical techniques for fitting a line to a data set. Matlab scripts - Oceanographic calculations: calculate common oceanographic parameters (AOU, density, salinity, etc.) using scripts optimized for PCs. Matlab scripts - Sound velocity: calculate Vsnd (S,T,P) using a formula based upon the van 't Hoff equation. Visual Basic for Excel - Oceanographic calculations: Calculate common oceanographic parameters (AOU, density, salinity, etc.) using scripts optimized for use with Excel. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/ropensci/rfishbase
Welcome to rfishbase. This package is the third rewrite of the original rfishbase package described ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/ropensci/rfishbase | ||||
| Parent Project URL | https://fishbase.in/ | ||||
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| English name | rfishbase package - FishBase | ||||
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| Acronym | |||||
| Citation | |||||
| Abstract | Welcome to rfishbase. This package is the third rewrite of the original rfishbase package described in Boettiger et al. (2012). rfishbase 3.0 queries pre-compressed tables from a static server and employs local caching (through memoization) to provide much greater performance and stability, particularly for dealing with large queries involving 10s of thousands of species. The user is never expected to deal with pagination or curl headers and timeouts. We welcome any feedback, issues or questions that users may encounter through our issues tracker on GitHub: https://github.com/ropensci/rfishbase/issues rfishbase is a programmatic interface to 'FishBase', re-written based on an accompanying 'RESTful' API. Access tables describing over 30,000 species of fish, their biology, ecology, morphology, and more. This package also supports experimental access to 'SeaLifeBase' data, which contains nearly 200,000 species records for all types of aquatic life not covered by 'FishBase.' | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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http://www.rforscience.com/rpackages/
R is so appropriate as a scientific tool because the base software can easily be extended by means o ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://www.rforscience.com/rpackages/ | ||||
| Parent Project URL | http://www.rforscience.com/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | rforscience packages | ||||
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| Abstract | R is so appropriate as a scientific tool because the base software can easily be extended by means of user-made packages. To allow using R for our work, a lot of new packages were developed by us. Our packages fall in several categories: Visualisation of (oceanographic) data or making diagrams. Scientific computing, including solving differential equations, linear and nonlinear equations. Model-data comparison, containing state-of-the-art statistical tools to fit a model against observational data. Calculating physical and chemical quantities that are used in marine sciences. Karline Soetaert implemented most of the codes, with contributions from Dick van Oevelen, Filip Meysman, Karel Van den Meersche, Andreas Hofmann and Tom van Engeland from our department. | ||||
| Technical contact email | please check the record details page | ||||
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https://cran.r-project.org/web/packages/rnoaa/index.html
Client for many 'NOAA' data sources including the 'NCDC' climate 'API' at <https://www.ncdc.noaa.gov ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://cran.r-project.org/web/packages/rnoaa/index.html | ||||
| Parent Project URL | https://docs.ropensci.org/rnoaa/articles/rnoaa.html | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | rnoaa package | ||||
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| Citation | |||||
| Abstract | Client for many 'NOAA' data sources including the 'NCDC' climate 'API' at |
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| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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https://github.com/iobis/robis
R client for the OBIS API
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| Submitter/Owner | Mr. Ward Appeltans ( OceanExpert : 11770 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/iobis/robis | ||||
| Parent Project URL | https://obis.org | ||||
| ODIS-Arch URL | |||||
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| English name | Robis | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | Pieter Provoost, & Samuel. (2018, November 16). iobis/robis: version 1.0.3 (Version v1.0.3). Zenodo. http://doi.org/10.5281/zenodo.1489988 | ||||
| Abstract | R client for the OBIS API | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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https://github.com/rOpenGov/fmi2
R client package for the Finnish Meteorological Institute (FMI) open data API. fmi2 provides access ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/rOpenGov/fmi2 | ||||
| Parent Project URL | https://en.ilmatieteenlaitos.fi/open-data-manual | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | rOpenGov package - Finnish Meteorological Institute | ||||
| Original (non-English) name | |||||
| Acronym | rOpenGov - FMI | ||||
| Citation | |||||
| Abstract | R client package for the Finnish Meteorological Institute (FMI) open data API. fmi2 provides access to a subset of the FMI download service. FMI maintains and is reponsible for the data available through their API, but has no official connections to fmi2. All data from the FMI is released under the Creative Commons Attribution 4.0 International license. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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https://github.com/boshek/rsoi
An R package to download the most up to date of these climate indices:
Southern Oscillation Index ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/boshek/rsoi | ||||
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| English name | rsoi | ||||
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| Abstract | An R package to download the most up to date of these climate indices: Southern Oscillation Index Oceanic Nino Index North Pacific Gyre Oscillation North Atlantic Oscillation Arctic Oscillation Antarctic Oscillation Multivariate ENSO Index Version 2 Pacific Decadal Oscillation | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/SalishSeaCast/tools
This is a collection of tools for working with the Salish Sea MEOPAR NEMO model, its results, and as ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/SalishSeaCast/tools | ||||
| Parent Project URL | https://salishsea-meopar-tools.readthedocs.io/en/latest/ | ||||
| ODIS-Arch URL | |||||
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| English name | SalishSeaCast tools | ||||
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| Acronym | |||||
| Citation | |||||
| Abstract | This is a collection of tools for working with the Salish Sea MEOPAR NEMO model, its results, and associated data. Documentation for the tools is included in the docs/ directory and is rendered at https://salishsea-meopar-tools.readthedocs.io/en/latest/. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
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| Spatial Coverage | Salish Sea | ||||
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https://github.com/SalishSeaCast/analysis-doug
This is a collection of analyses of the results of the Salish Sea MEOPAR NEMO model. Most of the fil ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/SalishSeaCast/analysis-doug | ||||
| Parent Project URL | https://salishsea-meopar-docs.readthedocs.io/en/latest/index.html | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Salish Sea MEOPAR NEMO model | ||||
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| Abstract | This is a collection of analyses of the results of the Salish Sea MEOPAR NEMO model. Most of the files are IPython Notebooks. See the README.md files in each directory for links to read-only renderings of the notebooks. That is especially useful if you are viewing this repository on Bitbucket. | ||||
| Technical contact email | please check the record details page | ||||
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| Spatial Coverage | Salish Sea | ||||
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https://github.com/SalishSeaCast/analysis-ben
A collection of notebooks and scripts for postprocessing and analysis of oceanographic data and mode ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/SalishSeaCast/analysis-ben | ||||
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| English name | Salish Sea NEMO Analysis package | ||||
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| Abstract | A collection of notebooks and scripts for postprocessing and analysis of oceanographic data and model results. | ||||
| Technical contact email | please check the record details page | ||||
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| Spatial Coverage | Salish Sea | ||||
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https://github.com/SalishSeaCast/SalishSeaNowcast
The SalishSeaNowcast package is a collection of Python modules associated with running the Salish Se ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/SalishSeaCast/SalishSeaNowcast | ||||
| Parent Project URL | https://salishsea.eos.ubc.ca/nemo/ | ||||
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| English name | SalishSeaNowcast | ||||
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| Abstract | The SalishSeaNowcast package is a collection of Python modules associated with running the Salish Sea NEMO model in a daily nowcast/forecast mode. The runs use as-recent-as-available (typically previous day) forcing data for the western boundary sea surface height and the Fraser River flow, and atmospheric forcing from the four-times-daily produced forecast results from the Environment Canada High Resolution Deterministic Prediction System (HRDPS) operational GEM 2.5km resolution model. The runs are automated using an asynchronous, message-based architecture that: obtains the forcing datasets from web services pre-processes the forcing datasets into the formats expected by NEMO uploads the forcing dataset files to the HPC or cloud-computing facility where the run will be executed executes the run downloads the results prepares a collection of plots from the run results for monitoring purposes publishes the plots and the processing log to the web Documentation for the package is in the docs/ directory and is rendered at https://salishsea-nowcast.readthedocs.io/en/latest/. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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| Spatial Coverage | Salish Sea | ||||
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http://doi.org/10.5281/zenodo.4153455
'ScarFace' is a Shiny web application that has been developed to facilitate the usage of the R-packa ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://doi.org/10.5281/zenodo.4153455 | ||||
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| English name | ScarFace package | ||||
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| Citation | Raitzsch, M. and Gattuso, J.-P., 2020. ScarFace - seacarb calculations with R Shiny user interface. https://doi.org/10.5281/zenodo.3662139. as well as Gattuso J.-P., Epitalon J.-M., Lavigne H. and Orr J., 2019. seacarb: seawater carbonate chemistry. R package version 3.2.12. http://CRAN.R-project.org/package=seacarb. | ||||
| Abstract | 'ScarFace' is a Shiny web application that has been developed to facilitate the usage of the R-package 'seacarb' (http://CRAN.R-project.org/package=seacarb). 'seacarb' is used to calculate the carbonate chemistry of seawater requiring a command-line usage. For non-friends of bare code, 'ScarFace' enables to use 'seacarb' via an user interface (ui) without the need for digging into R. The web app implements the most frequently used functions bjerrum(), carb(), and errors(), which can be simply operated by numerical or slider inputs. In addition to single calculations, batch processing can be performed by uploading csv source tables, where there is no need for pre-defined column names or order. If required, propagated errors can be calculated based on source table or manually entered values. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/akarimp/scientimate
ScientiMate is a library for earth-science data analysis. This library can be used for wide range of ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/akarimp/scientimate | ||||
| Parent Project URL | http://www.arashkarimpour.com/scientimate.html | ||||
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| English name | ScientiMate: Earth-Science Data Analysis Library | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | Karimpour, A. (2020). ScientiMate, Earth-Science Data Analysis Library | ||||
| Abstract | ScientiMate is a library for earth-science data analysis. This library can be used for wide range of data analysis including a time series analysis, signal processing, and geo-data calculation. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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https://github.com/jaclynsaunders/SciPy_2020_Ocean_Data
Collection of files and demos associated with SciPy 2020 Talk "Oceanography, Data Ontology, and the ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/jaclynsaunders/SciPy_2020_Ocean_Data | ||||
| Parent Project URL | https://www.youtube.com/watch?v=gv55W--XCHw | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | SciPy 2020 Ocean Data Demos | ||||
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| Citation | |||||
| Abstract | Collection of files and demos associated with SciPy 2020 Talk "Oceanography, Data Ontology, and the Semantic Web". Repo with examples of how to explore and plot data in the BCO-DMO data repository using the BCO-DMO Knowledge Graph with Python and Jupyter Try running BCO-DMO_SPARQL_intro_No-data.ipynb in Binder to explore the BCO-DMO Knowledge Graph with python and SPARQL! Binder (The interactive map visualization will not work on Binder.) Browse the BCO-DMO Knowledge Graph via the SPARQL endpoint: https://lod.bco-dmo.org/browse/ Check out the Ocean Data Ontolody (odo:) https://ocean-data.org/schema/. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | WARNING: The number of SPARQL requests made at one time on the BCO-DMO endpoint is limited. Additionally, the number of results on the endpoint is capped at 10,000 (common restriction for public SPARQL endpoints). Mapping with NERC Vocabulary tool <-- The code is not public currently, but we will eventually make the app public. | ||||
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https://github.com/helcomsecretariat
AIS data processing for statistics and maps. Script and information to produce statistics related to ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/helcomsecretariat | ||||
| Parent Project URL | https://helcom.fi/ | ||||
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| English name | Scripts and software - Baltic Marine Environment Protection Commission | ||||
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| Acronym | Scripts and software - HELCOM | ||||
| Citation | |||||
| Abstract | AIS data processing for statistics and maps. Script and information to produce statistics related to passage lines in the Baltic Sea Region, using Automatic Identification System (AIS) data. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/jpgattuso/seacarb-git
Carbonate chemistry with R
In 2003, Aurélien Proye and I put together seacarb, an R package that ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/jpgattuso/seacarb-git | ||||
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| English name | seacarb package | ||||
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| Abstract | Carbonate chemistry with R In 2003, Aurélien Proye and I put together seacarb, an R package that calculates various parameters of the carbonate system in seawater. The package was subsequently upgraded. In 2008, a new version (2.0) was built with the assistance of Héloïse Lavigne. Five additional functions were included to assist the design of perturbation experiments to investigate ocean acidification and other functions were revised in order to strictly follow the "Guide to best practices for ocean CO2 measurements" (Dickson et al., 2007). Seacarb uses equations mostly from the following sources: Dickson A. G., Sabine C. L. & Christian J. R., 2007. Guide to best practices for ocean CO2 measurements. PICES Special Publication 3:1-191. DOE, 1994. Handbook of methods for the analysis of the various parameters of the carbon dioxide system in sea water; version 2. Dickson, A. G. and Goyet, C., editors. ORNL/CDIAC-74, 1994. Frankignoulle M., 1994. A complete set of buffer factors for acid/base CO2 system in seawater. Journal of Marine Systems 5: 111-118. Orr J. C., Epitalon J.-M., Dickson A. G. & Gattuso J.-P., 2018. Routine uncertainty propagation for the marine carbon dioxide system. Marine Chemistry 207:84-107. Zeebe R. E. & Wolf-Gladrow D. A., 2001. CO2 in seawater: equilibrium, kinetics, isotopes. Amsterdam: Elsevier, 346 pp. A portion of the code has been adapted, with permission from the authors, from the Matlab files mentioned above. I am grateful to Richard Zeebe and Dieter Wolf-Gladrow for that. Héloïse Lavigne contributed a lot to seacarb in 2008 and 2009; this was critical to the launch of version 2.0 and subsequent updates. Portions of code and/or corrections have also been contributed by Jean-Marie Epitalon (2004, 2018), Bernard Gentili (2006), Karline Soetaert (2007) and Jim Orr (2007, 2010, 2018). Jean-Marie Epitalon considerably improved the code, leading to much faster calculations in version 3.0. Orr et al. (2015) assessed seacarb together with other packages which calculate the seawater carbonate chemistry. In 2018, option to calculate uncertainty propagation was added (Orr et al., 2018). Orr J. C., Epitalon J.-M., Dickson A. G. & Gattuso J.-P., 2018. Routine uncertainty propagation for the marine carbon dioxide system. Marine Chemistry 207:84-107. http://dx.doi.org/10.1016/j.marchem.2018.10.006 Orr J. C., Epitalon J.-M. & Gattuso J.-P., 2015. Comparison of ten packages that compute ocean carbonate chemistry. Biogeosciences 12:1483-1510. http://www.biogeosciences.net/12/1483/2015/ This program is provided free under the GNU General Public License (GNU GPL). It will be improved using the comments that I will receive. If you are new to R, please check the manuals and FAQs available on the R-project web site to get information on how to install R and the seacarb package on your system. Please only report and comment on seacarb, not on general problems related to R. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/gher-ulg/SeaDataCloud
Tools and interfaces to work with DIVA interpolation software tool.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/gher-ulg/SeaDataCloud | ||||
| Parent Project URL | http://labos.ulg.ac.be/gher/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | SeaDataCloud DIVA tools and interfaces | ||||
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| Acronym | |||||
| Citation | |||||
| Abstract | Tools and interfaces to work with DIVA interpolation software tool. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
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https://github.com/seaflow-uw/seaflowpy
A Python package for SeaFlow flow cytometer data.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/seaflow-uw/seaflowpy | ||||
| Parent Project URL | |||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | seaflowpy package | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | A Python package for SeaFlow flow cytometer data. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
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https://github.com/powellb/seapy
State Estimation and Analysis in PYthon (SEAPY). Tools for working with ocean models and data.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/powellb/seapy | ||||
| Parent Project URL | |||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | seapy package | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | State Estimation and Analysis in PYthon (SEAPY). Tools for working with ocean models and data. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
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http://ccrm.vims.edu/schismweb/
SCHISM modeling system is a derivative work from the original SELFE model (v3.1dc as of Dec. 13 , 20 ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://ccrm.vims.edu/schismweb/ | ||||
| Parent Project URL | https://www.vims.edu/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Semi-implicit Cross-scale Hydroscience Integrated System Model | ||||
| Original (non-English) name | |||||
| Acronym | SCHISM | ||||
| Citation | SCHISM (Semi-implicit Cross-scale Hydroscience Integrated System Model) is a derivative product built from the original SELFE (v3.1dc; Zhang and Baptista 2008) and distributed with an open-source Apache v2 license, with many enhancements and upgrades including new extension to large-scale eddying regime and a seamless cross-scale capability from creek to ocean (Zhang et al. 2016). | ||||
| Abstract | SCHISM modeling system is a derivative work from the original SELFE model (v3.1dc as of Dec. 13 , 2014). SCHISM has been implemented by Dr. Joseph Zhang (College of William & Mary) and other developers around the world, and licensed under Apache. SELFE was developed at the Oregon Health Sciences University. However, there are now significant differences between the two models. SCHISM (Semi-implicit Cross-scale Hydroscience Integrated System Model) is an open-source community-supported modeling system based on unstructured grids, designed for seamless simulation of 3D baroclinic circulation across creek-lake-river-estuary-shelf-ocean scales. It uses a highly efficient and accurate semi-implicit finite-element/finite-volume method with Eulerian-Lagrangian algorithm to solve the Navier-Stokes equations (in hydrostatic form), in order to addresses a wide range of physical and biological processes. The numerical algorithm judiciously mixes higher-order with lower-order methods, to obtain stable and accurate results in an efficient way. Mass conservation is enforced with the finite-volume transport algorithm. It also naturally incorporates wetting and drying of tidal flats. The SCHISM system has been extensively tested against standard ocean/coastal benchmarks and applied to a number of regional seas/bays/estuaries around the world (see 'Case study') in the context of general circulation, tsunami and storm-surge inundation, water quality, oil spill, sediment transport, coastal ecology, and wave-current interaction. SCHISM now includes many upgrades of the original SELFE code (v3.1dc); the major differences are summarized in Zhang et al. (Seamless cross-scale modeling with SCHISM, Ocean Modelling, 2016; see Publications). | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
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https://github.com/schism-dev
SCHISM modeling system is a derivative work from the original SELFE model (v3.1dc as of Dec. 13 , 20 ...
more
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/schism-dev | ||||
| Parent Project URL | http://ccrm.vims.edu/schismweb/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Semi-implicit Cross-scale Hydroscience Integrated System Model | ||||
| Original (non-English) name | |||||
| Acronym | SCHISM | ||||
| Citation | SCHISM (Semi-implicit Cross-scale Hydroscience Integrated System Model) is a derivative product built from the original SELFE (v3.1dc; Zhang and Baptista 2008) and distributed with an open-source Apache v2 license, with many enhancements and upgrades including new extension to large-scale eddying regime and a seamless cross-scale capability from creek to ocean (Zhang et al. 2016). Zhang, Y. and Baptista, A.M. (2008) SELFE: A semi-implicit Eulerian-Lagrangian finite-element model for cross-scale ocean circulation", Ocean Modelling, 21(3-4), 71-96. Zhang, Y., Ye, F., Stanev, E.V., Grashorn, S. (2016) Seamless cross-scale modeling with SCHISM, Ocean Modelling, 102, 64-81. | ||||
| Abstract | SCHISM modeling system is a derivative work from the original SELFE model (v3.1dc as of Dec. 13 , 2014). SCHISM has been implemented by Dr. Joseph Zhang (College of William & Mary) and other developers around the world, and licensed under Apache. SELFE was developed at the Oregon Health Sciences University. However, there are now significant differences between the two models. SCHISM (Semi-implicit Cross-scale Hydroscience Integrated System Model) is an open-source community-supported modeling system based on unstructured grids, designed for seamless simulation of 3D baroclinic circulation across creek-lake-river-estuary-shelf-ocean scales. It uses a highly efficient and accurate semi-implicit finite-element/finite-volume method with Eulerian-Lagrangian algorithm to solve the Navier-Stokes equations (in hydrostatic form), in order to addresses a wide range of physical and biological processes. The numerical algorithm judiciously mixes higher-order with lower-order methods, to obtain stable and accurate results in an efficient way. Mass conservation is enforced with the finite-volume transport algorithm. It also naturally incorporates wetting and drying of tidal flats. The SCHISM system has been extensively tested against standard ocean/coastal benchmarks and applied to a number of regional seas/bays/estuaries around the world (see 'Case study') in the context of general circulation, tsunami and storm-surge inundation, water quality, oil spill, sediment transport, coastal ecology, and wave-current interaction. SCHISM now includes many upgrades of the original SELFE code (v3.1dc); the major differences are summarized in Zhang et al. (Seamless cross-scale modeling with SCHISM, Ocean Modelling, 2016; see Publications). | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
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| Countries owning the source | |||||
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https://sirocco.obs-mip.fr/assimilation-tools/sequoia-data-assimilation-platform/
A platform for joint assimilation to all developments in data assimilation to SIROCCO, SEQUOIA syste ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://sirocco.obs-mip.fr/assimilation-tools/sequoia-data-assimilation-platform/ | ||||
| Parent Project URL | https://sirocco.obs-mip.fr/ | ||||
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| English name | SEQUOIA data assimilation platform | ||||
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| Citation | |||||
| Abstract | A platform for joint assimilation to all developments in data assimilation to SIROCCO, SEQUOIA system (SEQUential Optimization, Initialization and Analysis) has been developed since 2002. It benefit from the legacy system SOFA (System for Ocean Forecasting and Analysis) used in various stages of development by several operational systems: MERCATOR (De Mey, 1998), MFS (De Mey and Benkiran 2002) ADRICOSM (Castellari and al., 2006). In addition to implementation according to current standards (Fortran-95, modularity, etc.) SEQUOIA adapts equally to structured grids (finite difference) or not (elements / finite volume) via a generalized grid system. Its streamlined interface with the digital model enables it to drive any model (currently S model, MOG2D / T-UGOm and POLCOMS are interfaced, and other models are being considered). The code also manages the overall simulation on cluster PCs or remote machine. The system analysis interchangeable cores can implement several assimilation schemes. These cores are part of SEQUOIA and have the same status – free software, access to sources, GNU GPL. Three analytical cores have been developed to date for SEQUOIA: Mantaray, a core EOFs 3-D near SEEK (used as part of the thesis of G. and J. Jordà Lamouroux and several post-docs) SOFA, a core EOFs 1-D which incorporates the ideas of the original code SOFA mentioned above (used in the industrial and operational partnerships) BELUGA, a full row of core fixed in the dual space. Typically, we use SEQUOIA in the following modes, although other uses are possible a priori: Ensemble Optimal Interpolation (ENOI) – to order reduced with Mantaray analysis cores or SOFA Ensemble Kalman Filter (EnKF) and Ensemble Kalman Smoother (EnKS) with the BELUGA analysis core. | ||||
| Technical contact email | please check the record details page | ||||
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https://cran.r-project.org/web/packages/shapeR/index.html
Studies otolith shape variation among fish populations. Otoliths are calcified structures found in t ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://cran.r-project.org/web/packages/shapeR/index.html | ||||
| Parent Project URL | https://www.goforit-cofasp.net/Partners/MRI | ||||
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| English name | shapeR package | ||||
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| Abstract | Studies otolith shape variation among fish populations. Otoliths are calcified structures found in the inner ear of teleost fish and their shape has been known to vary among several fish populations and stocks, making them very useful in taxonomy, species identification and to study geographic variations. ShapeR is an open source software package that runs on the R platform and is specifically designed to study otolith shape variation among fish populations. The package extends previously described software used for otolith shape analysis by allowing the user to automatically extract closed contour outlines from a large number of images, perform smoothing to eliminate pixel noise, choose from conducting either a Fourier or Wavelet transform to the outlines and visualize the mean shape. The output of the package are independent Fourier or Wavelet coefficients which can be directly imported into a wide range of statistical packages in R. The package might prove useful in studies of any two dimensional objects. | ||||
| Technical contact email | please check the record details page | ||||
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https://www.channelcoast.org/ccoresources/shingleb/
Welcome to the online tool for prediction of shingle beach profiles under the influence of bi-modal ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.channelcoast.org/ccoresources/shingleb/ | ||||
| Parent Project URL | https://www.channelcoast.org/ | ||||
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| English name | SHINGLE-B - Channel Coastal Observatory | ||||
| Original (non-English) name | |||||
| Acronym | SHINGLE-B - CCO | ||||
| Citation | |||||
| Abstract | Welcome to the online tool for prediction of shingle beach profiles under the influence of bi-modal sea states | ||||
| Technical contact email | please check the record details page | ||||
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https://currents.soest.hawaii.edu/home/software/
Our shipboard ADCP data acquisition system is called University of Hawaii Data Acquisition System, o ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://currents.soest.hawaii.edu/home/software/ | ||||
| Parent Project URL | https://currents.soest.hawaii.edu/home/ | ||||
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| English name | Shipboard ADCP Data Acquisition System - University of Hawaii | ||||
| Original (non-English) name | |||||
| Acronym | UHDAS | ||||
| Citation | |||||
| Abstract | Our shipboard ADCP data acquisition system is called University of Hawaii Data Acquisition System, or UHDAS. (It is pronounced 'U. H. Das'; we didn't put enough thought into naming it to arrive at a good acronym, so this is what we are stuck with). It is much more than a program; it is a full Linux computer system configured to acquire, process, and serve data from any number of shipboard ADCP instruments together with the essential ancillary measurements of the ship's position and heading from any number of navigation devices. To learn more, see the sample snapshot of the on-board UHDAS web site from one of the ships on which it is installed. The automated processing executed by UHDAS several times per hour uses our ADCP data processing software, generally known as CODAS (originally meaning Common Oceanographic Data Access System, referring to its core database component). This software is also used in post-processing ADCP datasets: for hand-editing, filling gaps in sensor inputs, determining and applying calibration factors, etc. Extensive documentation is provided for both UHDAS and CODAS. It covers installation and use of CODAS processing software, and operation of a UHDAS system. | ||||
| Technical contact email | please check the record details page | ||||
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https://www.stockassessment.org/spectrum/
This applet simulates the size distribution of a single species (blue) subjected to fishing (red). T ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.stockassessment.org/spectrum/ | ||||
| Parent Project URL | https://www.stockassessment.org/login.php | ||||
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| English name | Single-species size-spectrum simulator - Centre for Ocean Life | ||||
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| Citation | |||||
| Abstract | This applet simulates the size distribution of a single species (blue) subjected to fishing (red). The filled area is the mature individuals and the colour whether recruitment is high (green) or low (red). The species is characterized by the asymptotic (maximum) size (W∞) and a set of non-dimensional parameters. The model is based on metabolic scaling at the level of the individual. The full set of assumptions behind the model are documented in Andersen and Beyer (2013). | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
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http://oceanlife.dtuaqua.dk/FishSizeSpectrum/
Calculate all demographic quantities and the response to fishing of single stock using the procedure ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://oceanlife.dtuaqua.dk/FishSizeSpectrum/ | ||||
| Parent Project URL | https://www.oceanlifecentre.dk/ | ||||
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| English name | Single stock size spectrum calculator - Centre for Ocean Life | ||||
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| Acronym | |||||
| Citation | |||||
| Abstract | Calculate all demographic quantities and the response to fishing of single stock using the procedures described in: K.H.Andersen (2019) Fish Ecology, Evolution, and Exploitation Princeton University Press. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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https://play.google.com/store/apps/details?id=co.org.invemar.sipein.v5.smart&hl=es_CO
Fishery information system for the storage and processing of catch information, effort, lengths, eco ...
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| Submitter/Owner | Mr. Leonardo Jose ARIAS ALEMÁN ( OceanExpert : 12914 ) | ||||
| Submitter/Owner Role | IODE ADU | ||||
| Datasource URL | https://play.google.com/store/apps/details?id=co.org.invemar.sipein.v5.smart&hl=es_CO | ||||
| Parent Project URL | http://www.invemar.org.co/en | ||||
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| English name | SIPEIN Smart - Institute for Marine and Coastal Research of Colombia | ||||
| Original (non-English) name | SIPEIN Smart - Instituto de Investigaciones Marinas y Costeras de Colombia | ||||
| Acronym | SIPEIN Smart - INVEMAR | ||||
| Citation | "Narvaez, J.C., M. Rueda, E. Viloria, J. Blanco, J.A. Romero, F. Newmark. 2005. Manual del Sistema de Información Pesquera del INVEMAR (SIPEIN V.3.0): Una herramienta para el diseño de sistemas de manejo pesquero. Instituto de Investigaciones Marinas y Costeras - INVEMAR. Santa Marta Colombia. 128 p. (Serie de documentos generales del INVEMAR No. 18)" | ||||
| Abstract | Fishery information system for the storage and processing of catch information, effort, lengths, economic variables, which allows obtaining indicators of the performance of the fishery (fish abundance, mean size of the catch, economic income, rents, number of jobs, and others) to generate fishery management measures. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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http://oceanlife.dtuaqua.dk/Plankton/
Simulate a plankton ecosystem in the upper part of a watercolumn. Cell size is the only trait charac ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://oceanlife.dtuaqua.dk/Plankton/ | ||||
| Parent Project URL | https://www.oceanlifecentre.dk/ | ||||
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| English name | Size-based plankton simulator - Centre for Ocean Life | ||||
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| Abstract | Simulate a plankton ecosystem in the upper part of a watercolumn. Cell size is the only trait characterizing each plankton group. All groups are able to perform photoharvesting, taking up dissolve nutrients and carbon, and do phagotrophy. The trophic strategy is an emergent property. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/UCSD-E4E/Smartfin
Analyzing wave height, wave period, and a variety of other oceanographic data collected by the Smart ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/UCSD-E4E/Smartfin | ||||
| Parent Project URL | https://smartfin.org/ | ||||
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| English name | Smartfin package | ||||
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| Abstract | Analyzing wave height, wave period, and a variety of other oceanographic data collected by the Smartfin. The Smartfin Project aims to unite the surfing community and the research community in an effort to fill this gap in our oceanographic data. It began years ago with the collaborative vision of Scientists and Researchers working with the Scripps Institute of Oceanography, who hoped to innovate a new way to model the behaviour of our oceans. | ||||
| Technical contact email | please check the record details page | ||||
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https://play.google.com/store/apps/details?id=org.fao.smartforms&hl=en_US
SmartForms: Support to data collection programs” is a mobile data collection platform to collect a ...
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| Submitter/Owner | Mr. Marc Taconet ( OceanExpert : 16546 ) | ||||
| Submitter/Owner Role | FAO | ||||
| Datasource URL | https://play.google.com/store/apps/details?id=org.fao.smartforms&hl=en_US | ||||
| Parent Project URL | http://www.fao.org/fishery/statistics/en | ||||
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| English name | SmartForms Mobile Data Collection - FAO | ||||
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| Acronym | SMARTFORMS - FAO | ||||
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| Abstract | SmartForms: Support to data collection programs” is a mobile data collection platform to collect and review fishery and observer data (hereinafter “SmartForms”). With one platform, SmartForms can serve data collection in different sectors. The application will remain the same, but data can be collected using various data collection templates that are customized to satisfy the needs related to specific data collection project(s)/survey(s) (the “Forms”). The aim is to enable a data manager to define the Forms in a few steps and automatically have the Forms updated on the data collectors’ devices. The SmartForms App promises to deliver cost-effective and accurate support to data collectors with a particular focus on fisheries scientific observers. The collection of data in the field is a cornerstone of scientific and monitoring activities, and needs to rely on a robust infrastructure to collect, validate, amend, archive and share data. Current data collections typically rely on workflows where data may be misplaced (e.g. Excel files), difficult to maintain or understand (reference data) or reconcile (local installations), require extensive manual processing (validation and exchange), and/or have a single-focus implementation (e.g. support for only one reporting protocol). In addition to being a generic data survey platform, the SmartForms App offers integration of domain specific Master Data Management and reference data such as species or country lists, which improves data harmonization. | ||||
| Technical contact email | please check the record details page | ||||
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| Technical notes | Other CIO | ||||
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https://github.com/fmidev/smartmet-server
SmartMet Server is Finnish Meteorological Institutes data and product server for MetOcean data. It p ...
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| Submitter/Owner | Mr. Pekka Alenius ( OceanExpert : 15540 ) | ||||
| Submitter/Owner Role | IODE NODC | ||||
| Datasource URL | https://github.com/fmidev/smartmet-server | ||||
| Parent Project URL | https://en.ilmatieteenlaitos.fi/ | ||||
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| English name | SmartMet Server - Finnish Meteorological Institute | ||||
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| Acronym | SMARTMET SERVER - FMIDEV | ||||
| Citation | SmartMet Server Providing MetOcean Data. Roope Tervo, Mika Heiskanen, Tarja Riihisaari, Mikko Visa and Mikko Rauhala 2016, http://www.slideshare.net/tervo/smartmet-server-providing-metocean-data | ||||
| Abstract | SmartMet Server is Finnish Meteorological Institutes data and product server for MetOcean data. It provides a high capacity and high availability data and product server for MetOcean data. The server is written in C++, since 2008 it has been in operational use by the Finnish Meteorological Institute FMI. | ||||
| Technical contact email | please check the record details page | ||||
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http://api.socib.es/home/
the new SOCIB API offers the possibility of exploring our data catalog and retrieving the data it co ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://api.socib.es/home/ | ||||
| Parent Project URL | https://www.socib.eu/ | ||||
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| English name | SOCIB API | ||||
| Original (non-English) name | SOCIB API | ||||
| Acronym | SOCIB API | ||||
| Citation | If you use SOCIB data, please acknowledge the use of these data with one of the following statements: In applications or websites: Data products used in this application were obtained from SOCIB (www.socib.es). In addition, please make visible the SOCIB logo. In publications: Citation of a dataset with DOI is shown through the corresponding landing page of the SOCIB Data Product Catalog (apps.socib.es/data-catalog) Dataset without DOI: Data used in this work were obtained from SOCIB (www.socib.es). and cite the following publication: Tintore, J. et al. (2013), The Balearic Islands Coastal Ocean Observing and Forecasting System Responding to Science, Technology and Society Needs, Marine Technology Society Journal, 47 (1), doi: 10.4031/MTSJ.47.1.10 | ||||
| Abstract | the new SOCIB API offers the possibility of exploring our data catalog and retrieving the data it contains. This API is a REST API, which means that the requests are issued from a usual HTTP client, available with any programming language. Regarding interoperability and discoverability, one of the key components that data providers should issue are REST APIs. In this line, SOCIB Data Centre has released in 2018 the Data Catalog API, a REST API that is meant to extend and enhance the capabilities of previous one (Data Discovery). This new API eases the recovering of different data sources (i.e. observational data) coming from a wide range of platforms (e.g. oceanographical buoy, coastal stations, weather stations, autonomous underwater vehicles, drifter buoys...). Next versions will include also models, images, etc... to the list of available data sources. The new SOCIB API is addressed to two different types of users: the IT (software developer) user and the data scientific user. For the IT expert, the use will be almost trivial. For scientific data experts, with no experience on this kind of tool, some training will be needed. A success story is the development of the SOCIB Data Catalog web that fully relies on the capacity of this API. | ||||
| Technical contact email | please check the record details page | ||||
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https://play.google.com/store/apps/details?id=com.socib&hl=en&gl=US
SOCIB stands for the Balearic Islands Coastal Observing and Forecasting System. This app provides di ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://play.google.com/store/apps/details?id=com.socib&hl=en&gl=US | ||||
| Parent Project URL | https://www.socib.eu/ | ||||
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| English name | SOCIB App | ||||
| Original (non-English) name | SOCIB App | ||||
| Acronym | SOCIB App | ||||
| Citation | If you use SOCIB data, please acknowledge the use of these data with one of the following statements: In applications or websites: Data products used in this application were obtained from SOCIB (www.socib.es). In addition, please make visible the SOCIB logo. In publications: Citation of a dataset with DOI is shown through the corresponding landing page of the SOCIB Data Product Catalog (apps.socib.es/data-catalog) Dataset without DOI: Data used in this work were obtained from SOCIB (www.socib.es). and cite the following publication: Tintore, J. et al. (2013), The Balearic Islands Coastal Ocean Observing and Forecasting System Responding to Science, Technology and Society Needs, Marine Technology Society Journal, 47 (1), doi: 10.4031/MTSJ.47.1.10 | ||||
| Abstract | SOCIB stands for the Balearic Islands Coastal Observing and Forecasting System. This app provides direct and easy access to near real time observations and forecasts from the Balearic Sea area. It also provides an overview of the work that is being done at SOCIB. The observational data are provided by a wide range of instruments such as oceanographic buoys, tide gauges, weather stations, gliders, research vessels, HF radar, drifters, beach cameras, etc. They allow the user to find out, in near real time, the values of variables such as sea water temperature, wave height/direction, sea level, wind speed/direction, air temperature, air pressure, …. along with images of Balearic beaches. The forecast is updated daily and provides information about wave height/direction/period, current speed/direction, water temperature and salinity. The app provides relevant information for activities such as sailing, surfing, windsurfing, kitesurfing, diving, and for those who simply want to know the beach conditions. Please check out our disclaimer. To get more details, visit us at http://www.socib.es. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | Data obtained from SOCIB data center using observational and forecast data products | ||||
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| Spatial Coverage | Coastal areas Balearic Islands, Mallorca and Ibiza Channels | ||||
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http://apps.socib.es
Catalog of applications created by SOCIB:
Dapp (real-time monitoring of mobile platforms); Lw4nc 2. ...
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| Submitter/Owner | Peter H. Pissierssens ( OceanExpert : 36337 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://apps.socib.es | ||||
| Parent Project URL | http://www.socib.eu/ | ||||
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| English name | SOCIB Applications for modern web browsers and mobile platforms | ||||
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| Citation | If you use SOCIB data, please acknowledge the use of these data with one of the following statements: In applications or websites: Data products used in this application were obtained from SOCIB (www.socib.es). In addition, please make visible the SOCIB logo. In publications: Citation of a dataset with DOI is shown through the corresponding landing page of the SOCIB Data Product Catalog (apps.socib.es/data-catalog) Dataset without DOI: Data used in this work were obtained from SOCIB (www.socib.es). and cite the following publication: Tintore, J. et al. (2013), The Balearic Islands Coastal Ocean Observing and Forecasting System Responding to Science, Technology and Society Needs, Marine Technology Society Journal, 47 (1), doi: 10.4031/MTSJ.47.1.10 | ||||
| Abstract | Catalog of applications created by SOCIB: Dapp (real-time monitoring of mobile platforms); Lw4nc 2.0 (NetCDF grid viewer); Beamon (beach monitoring) SAPO-IB (Wave forecast); SACOSTA (Environmental Sensitivity of the Coastline); Seaboard (Dashboard visualization of ocean real time data); Instrumentation (Catalog and processing configuration); Follow the glider (Educational web); DataDiscovery (SOCIB API)Profiles ViewerLeaflet; TimeDimension (Add time dimension capabilities on a Leaflet map); Glider Toolbox (MATLAB/Octave scripts to manage data collected by a glider fleet). | ||||
| Technical contact email | please check the record details page | ||||
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http://apps.socib.es/DataDiscovery/index.jsp
SOCIB Data Center is working on building a data treatment architecture that covers all data stages. ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://apps.socib.es/DataDiscovery/index.jsp | ||||
| Parent Project URL | https://www.socib.es/ | ||||
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| English name | SOCIB DataDiscovery API | ||||
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| Abstract | SOCIB Data Center is working on building a data treatment architecture that covers all data stages. This architecture is composed by the following stages: acquisition, processing, quality controls, storage and distribution. The SDDS is a layer of RESTful web services intended to provides information and data of SOCIB platforms. This layer is located at the distribution stage. | ||||
| Technical contact email | please check the record details page | ||||
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| Technical notes | No further support will be provided from January 2021 | ||||
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https://github.com/socib/glider_toolbox
MATLAB/Octave scripts to manage data collected by a glider fleet, including data download, data proc ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/socib/glider_toolbox | ||||
| Parent Project URL | https://www.socib.eu/ | ||||
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| English name | SOCIB Glider toolbox | ||||
| Original (non-English) name | SOCIB Glider toolbox | ||||
| Acronym | SOCIB Glider toolbox | ||||
| Citation | SOCIB Data Center. (2017, July 31). SOCIB glider_toolbox. Zenodo. http://doi.org/10.5281/zenodo.836706 | ||||
| Abstract | MATLAB/Octave scripts to manage data collected by a glider fleet, including data download, data processing and product and figure generation, both in real time and delayed time. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/socib/Leaflet.TimeDimension
Add time dimension capabilities on a Leaflet map.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/socib/Leaflet.TimeDimension | ||||
| Parent Project URL | https://www.socib.eu/ | ||||
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| English name | SOCIB Leaflet timedimension | ||||
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| Abstract | Add time dimension capabilities on a Leaflet map. | ||||
| Technical contact email | please check the record details page | ||||
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https://play.google.com/store/apps/details?id=com.socib.lifeguards&hl=en_US&gl=US
LifeguardIB provides atmospheric and oceanographic variables interpolated from numerical prediction ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://play.google.com/store/apps/details?id=com.socib.lifeguards&hl=en_US&gl=US | ||||
| Parent Project URL | https://www.socib.eu/ | ||||
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| English name | SOCIB Lifeguards App | ||||
| Original (non-English) name | SOCIB SocorristaIB App | ||||
| Acronym | SocorristaIB | ||||
| Citation | If you use SOCIB data, please acknowledge the use of these data with one of the following statements: In applications or websites: Data products used in this application were obtained from SOCIB (www.socib.es). In addition, please make visible the SOCIB logo. In publications: Citation of a dataset with DOI is shown through the corresponding landing page of the SOCIB Data Product Catalog (apps.socib.es/data-catalog) Dataset without DOI: Data used in this work were obtained from SOCIB (www.socib.es). and cite the following publication: Tintore, J. et al. (2013), The Balearic Islands Coastal Ocean Observing and Forecasting System Responding to Science, Technology and Society Needs, Marine Technology Society Journal, 47 (1), doi: 10.4031/MTSJ.47.1.10 | ||||
| Abstract | LifeguardIB provides atmospheric and oceanographic variables interpolated from numerical prediction models (oceanographic and atmospheric) at the mesh points closest to the 352 Balearic beaches where there is a lifeguard service. It constitutes a support tool for lifeguards to fill in the reports of incidents on the beaches, providing objective and comparable data for statistical purposes. Likewise, it is a tool used for the planning and decision-making of the lifeguards, which results in an improvement in the safety of the bathing areas. In addition, the app allows the lifeguard to program notifications to be notified when a certain variable (wave height, for example) reaches a certain threshold, thus contributing to knowledge-based beach safety management. This app has been developed by the ICTS SOCIB in collaboration with the General Directorate of Emergencies and Interior of the Government of the Balearic Islands, AEMET and State Ports, with the participation of municipal officials and security concessionaires in the 352 beaches of les Balearic Islands that have lifeguards service. It responds to the needs of lifeguards on the beaches of the Balearic Islands and to the new capabilities of observation and prediction systems (atmospheric, marine, coastal, etc.), for the provision of quality data at local scale and in real time , to support the sustainable use of the sea and its coasts. To learn more about SOCIB, visit us at http://www.socib.es. | ||||
| Technical contact email | please check the record details page | ||||
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| Spatial Coverage | Coastal areas of the Balearic Islands | ||||
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https://github.com/socib/salinity-correction-toolbox
Set of matlab scripts to identify correction coefficients for salinity data taken from CTD rossette ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/socib/salinity-correction-toolbox | ||||
| Parent Project URL | https://www.socib.eu/ | ||||
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| English name | SOCIB Salinity correction toolbox | ||||
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| Citation | Cristian. (2019, November 14). socib/salinity-correction-toolbox: Pilot (Version v0.2). Zenodo. http://doi.org/10.5281/zenodo.3541693 | ||||
| Abstract | Set of matlab scripts to identify correction coefficients for salinity data taken from CTD rossette and glider The plot_socib_rv_adcp is a set of python scripts and functions developed at SOCIB to plot the data collected by a SBE911+ CTD mounted onboard the SOCIB Research Vessel. They are able to plot the main variables stored into the cnv files and plot them interpolate the profiles over the longitude dimension. | ||||
| Technical contact email | please check the record details page | ||||
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http://seaboard.socib.es/
Seaboards are single ‘dashboard’ visualizations of the real time and forecast ocean data current ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://seaboard.socib.es/ | ||||
| Parent Project URL | https://www.socib.eu/ | ||||
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| English name | SOCIB Seaboards | ||||
| Original (non-English) name | SOCIB Seaboards | ||||
| Acronym | SOCIB Seaboards | ||||
| Citation | If you use SOCIB data, please acknowledge the use of these data with one of the following statements: In applications or websites: Data products used in this application were obtained from SOCIB (www.socib.es). In addition, please make visible the SOCIB logo. In publications: Citation of a dataset with DOI is shown through the corresponding landing page of the SOCIB Data Product Catalog (apps.socib.es/data-catalog) Dataset without DOI: Data used in this work were obtained from SOCIB (www.socib.es). and cite the following publication: Tintore, J. et al. (2013), The Balearic Islands Coastal Ocean Observing and Forecasting System Responding to Science, Technology and Society Needs, Marine Technology Society Journal, 47 (1), doi: 10.4031/MTSJ.47.1.10 | ||||
| Abstract | Seaboards are single ‘dashboard’ visualizations of the real time and forecast ocean data currently provided by SOCIB, from different coastal and ocean monitoring locations around the Balearic Islands. A specific set of Seaboards has been designed for the tourist sector and these are now installed in several collaborating hotels, providing useful real-time information about the ocean and coastal state, as well as knowledge about science based beach management and environmental preservation. SOCIB, the Balearic Islands Coastal Observing and Forecasting System, is an initiative to provide real time coastal and ocean data products and services in response to international science priorities and to respond to pressing society needs, such as beach erosion, sea level rise, and climate variability etc. Through this we contribute to the development and implementation of new technologies and enhance our capacity to sustainably manage our interaction with the coastal and open ocean. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | data obtained through SOCIB data center from the different SOCIB facilities | ||||
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| Spatial Coverage | Coastal areas Balearic Islands, Ibiza and Mallorca Channels | ||||
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https://www.ntslf.org/products/software
Software products from the UK National Tidal and Sea Level Facility
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.ntslf.org/products/software | ||||
| Parent Project URL | https://www.ntslf.org/ | ||||
| ODIS-Arch URL | |||||
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| English name | Software - UK National Tidal and Sea Level Facility | ||||
| Original (non-English) name | |||||
| Acronym | Software - UK NTSLF | ||||
| Citation | |||||
| Abstract | Software products from the UK National Tidal and Sea Level Facility | ||||
| Technical contact email | please check the record details page | ||||
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http://www.fao.org/fishery/statistics/software/fishstatj/en
FishStatJ is a Windows and Mac application that anyone can use to access FAO’s Fisheries and Aquac ...
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| Submitter/Owner | Mr. Marc Taconet ( OceanExpert : 16546 ) | ||||
| Submitter/Owner Role | FAO | ||||
| Datasource URL | http://www.fao.org/fishery/statistics/software/fishstatj/en | ||||
| Parent Project URL | http://www.fao.org/fishery/statistics/en | ||||
| ODIS-Arch URL | |||||
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| English name | Software for fishery statistical time series - FAO Fisheries Division | ||||
| Original (non-English) name | |||||
| Acronym | FishStatJ - NFI | ||||
| Citation | |||||
| Abstract | FishStatJ is a Windows and Mac application that anyone can use to access FAO’s Fisheries and Aquaculture statistics. They include datasets on production, trade and consumption. Data can be extracted and aggregated according to different level of details and international standard classifications. It consists of a main application and several workspaces that include the datasets. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | FIGIS | ||||
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https://github.com/SalishSeaCast/SOG-Bloomcast-Ensemble
SoG-bloomcast is a an operational oceanography project to provide daily updated forecasts of the fir ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/SalishSeaCast/SOG-Bloomcast-Ensemble | ||||
| Parent Project URL | https://salishsea.eos.ubc.ca/bloomcast/ | ||||
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| English name | SOG-Bloomcast-Ensemble package | ||||
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| Abstract | SoG-bloomcast is a an operational oceanography project to provide daily updated forecasts of the first spring phytoplankton bloom in the Strait of Georgia on the British Columbia south coast. In addition to being part of an active research program on the physics and biogeochemistry of the Salish Sea, SoG-bloomcast is intended as a demonstration of how small university research groups can use lightweight software automation to publish near-real-time model results to the web. SoG-bloomcast uses the SOG coupled physics-biogeochemical model for deep estuaries (http://www.eos.ubc.ca/~sallen/SOG-docs/) to do its science, and publishes its results to the web at http://eos.ubc.ca/~sallen/SoG-bloomcast/results.html. SoG-bloomcast is written in Python. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/SCAR/sohungry
This R package provides access to the SCAR Southern Ocean Diet and Energetics Database, and some too ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/SCAR/sohungry | ||||
| Parent Project URL | https://scar.org/ | ||||
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| English name | sohungry package - Scientific Committee on Antarctic Research | ||||
| Original (non-English) name | |||||
| Acronym | sohungry - SCAR | ||||
| Citation | |||||
| Abstract | This R package provides access to the SCAR Southern Ocean Diet and Energetics Database, and some tools for working with these data. For more information about the database see https://scar.org/resources/southern-ocean-diet-energetics/. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/SCAR/solong
This R package provides allometric equations that relate the body size of Southern Ocean taxa to the ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/SCAR/solong | ||||
| Parent Project URL | https://www.scar.org/soos/ | ||||
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| English name | solong package - Scientific Committee on Antarctic Research | ||||
| Original (non-English) name | |||||
| Acronym | solong - SCAR | ||||
| Citation | |||||
| Abstract | This R package provides allometric equations that relate the body size of Southern Ocean taxa to their body part measurements. It is a component of the Southern Ocean Diet and Energetics Database project. The package currently includes 693 equations, covering mostly cephalopods and fish. | ||||
| Technical contact email | please check the record details page | ||||
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https://zenodo.org/record/46725#.YIGU23UzZhE
STOQS (Spatial Temporal Oceanographic Query System) is a geospatial database software package design ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://zenodo.org/record/46725#.YIGU23UzZhE | ||||
| Parent Project URL | http://www.stoqs.org | ||||
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| English name | Spatial Temporal Oceanographic Query System - Monterey Bay Aquarium Research Institute | ||||
| Original (non-English) name | |||||
| Acronym | STOQS - MBARI | ||||
| Citation | |||||
| Abstract | STOQS (Spatial Temporal Oceanographic Query System) is a geospatial database software package designed to provide efficient access to in situ oceanographic measurement data. | ||||
| Technical contact email | please check the record details page | ||||
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https://www.st.nmfs.noaa.gov/copepod/toolkit/
The Spatiotemporal Data & Time Series Toolkit, previously known as "The COPEPODITE Toolkit", is a co ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.st.nmfs.noaa.gov/copepod/toolkit/ | ||||
| Parent Project URL | https://www.st.nmfs.noaa.gov/ | ||||
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| English name | Spatiotemporal Data Time Series Toolkit | ||||
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| Citation | The content of the COPEPOD plankton database is updated on a monthly-to-quarterly basis. Every two years a printed NOAA technical memorandum is created to summarize the full data content, as well as the latest protocols for quality control and data product synthesis (i.e., new gridded fields, compilations, etc.). This allows users to cite a printed reference or a web site (depending on preference and/or the requirements of their intended publication or works). | ||||
| Abstract | The Spatiotemporal Data & Time Series Toolkit, previously known as "The COPEPODITE Toolkit", is a combination of two COPEPOD sub-elements: "NAUPLIUS" and "COPEPODITE". For previous COPEPODITE Toolkit users, the immediate difference is an increase in the number of available auto-extract spatiotemporal data sets in "Step #1", and a note that continuation with "Step #2" (analysis and graphics creation) is optional. The NAUPLIUS Spatiotemporal Data tools and COPEPODITE Time Series tools were developed in support of various ICES, SCOR, and IOC-UNESCO plankton time-series working groups. This simple time-series analysis and visualization toolkit allows a user to create a variety of analytical plots and statistical results without having to install any software or learn any programming languages. The COPEPOD Interactive Time-series Explorer (COPEPODITE) is a collection of time-series analysis and visualization plots developed by COPEPOD in support of various SCOR and ICES plankton time-series working groups ( WG125, WGZE, WGPME, WG137 ). While some of these graphics have been used by WGZE and WG125 for over ten years, until now it was only possible for these graphics to be created "in-house" at COPEPOD. (This means that an investigator had to send us their data and then wait for us to process it and create the graphics and results for them.) This toolkit allows outside users to load their own data and quickly get a variety plots and results from the wide selection of tool modules developed in cooperation with these plankton working groups. | ||||
| Technical contact email | please check the record details page | ||||
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https://sirocco.obs-mip.fr/assimilation-tools/spenoi/
SpEnOI is an ensemble harmonic data assimilation software suite for spectral tidal modeling. Ensembl ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://sirocco.obs-mip.fr/assimilation-tools/spenoi/ | ||||
| Parent Project URL | https://sirocco.obs-mip.fr/ | ||||
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| English name | SpEnOI | ||||
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| Abstract | SpEnOI is an ensemble harmonic data assimilation software suite for spectral tidal modeling. Ensemble is built by perturbing essential tidal modeling parameters: bottom friction coefficient bathymetry boundary conditions internal (tide) wave drag It is a C/C++ suite, with OpenMP optimisation. It includes data assimilation code and companion tools for ensemble generation. It needs the COMODO tools package to be compiled. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/dnowacki-usgs/stglib
Routines used by the USGS Coastal/Marine Hazards & Resources Program to process oceanographic time-s ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/dnowacki-usgs/stglib | ||||
| Parent Project URL | https://stglib.readthedocs.io/en/latest/ | ||||
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| English name | stglib package | ||||
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| Abstract | Routines used by the USGS Coastal/Marine Hazards & Resources Program to process oceanographic time-series data. stglib is a library of routines to process data from a variety of oceanographic instrumentation, consistent with the procedures of the Sediment Transport Group at the USGS Woods Hole Coastal and Marine Science Center. stglib serves two distinct but related purposes: A library to import data into xarray Datasets, which can be manipulated in an interactive Python environment (e.g., IPython, Jupyter notebooks). A series of run scripts to process data into EPIC-compliant netCDF files for release to the public. Currently, this package has at least partial support for: Nortek Aquadopp profilers, in mean-current and wave-burst modes RBR d|wave pressure sensors YSI EXO2 water-quality sondes SonTek IQ flow monitors WET labs sensors, including ECO NTUSB and ECO PAR Onset HOBO pressure sensors Moving-boat ADCP data processed using QRev, for use in index-velocity computation | ||||
| Technical contact email | please check the record details page | ||||
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https://daac.ornl.gov/submit/
The ORNL DAAC manages scientific data in order to make these data accessible and useful to researche ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://daac.ornl.gov/submit/ | ||||
| Parent Project URL | https://earthdata.nasa.gov/ | ||||
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| English name | Submission Data Portal - Oak Ridge National Laboratory Distributed Active Archive Center at NASA | ||||
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| Acronym | Submission Data Portal - ORNL DAAC-NASA | ||||
| Citation | |||||
| Abstract | The ORNL DAAC manages scientific data in order to make these data accessible and useful to researchers, today and tomorrow. This document outlines our data publication policies and standards. The content here is a guide for data providers and authors of data. There are many benefits to publishing your data in an open data repository. You get credit for archived data products and their subsequent use. The DAAC's process of QA and documentation adds value and may catch errors in your data. Collaborators can readily understand and use your data both in the near future and in the long-term. Sponsors protect their investment. And scientists outside your project can find, understand, and use your data to address broad questions. | ||||
| Technical contact email | please check the record details page | ||||
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https://arcticdata.io/catalog/share
The Arctic Data Center is the primary repository for the Arctic Section of the Office of Polar Progr ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://arcticdata.io/catalog/share | ||||
| Parent Project URL | https://nsf.gov/ | ||||
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| English name | Submit data - Arctic Data Center | ||||
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| Abstract | The Arctic Data Center is the primary repository for the Arctic Section of the Office of Polar Programs. Our mission is to help the research community reproducibly preserve and discover all products of NSF-funded science in the Arctic, including data, metadata, software, and documents. In this video, you’ll learn how to navigate the catalog, and how to explore different fields in the metadata records. The Arctic Data Center uses ORCID iDs to identify individuals associated with each data package. When submitting to the Arctic Data Center, an ORCiD is required for the submitter of each data package. ORCiDs are not required for all associated parties (contacts, additional creators, etc.), but are strongly encouraged, especially for the primary creator, so that proper identification and attribution can be given. Additionally, access to edit each data package can only be granted to individuals using ORCiDs. Therefore, we advise researchers to register and record ORCID iDs for each individual involved with the project during the initial stages of project development (i.e., within the data management plan of the project proposal). | ||||
| Technical contact email | please check the record details page | ||||
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http://swanmodel.sourceforge.net/download/download.htm
SWAN is a third-generation wave model for obtaining realistic estimates of wave parameters in coasta ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://swanmodel.sourceforge.net/download/download.htm | ||||
| Parent Project URL | https://www.tudelft.nl/en/ceg/about-faculty/departments/hydraulic-engineering/sections/environmental-fluid-mechanics/research/swan/ | ||||
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| English name | SWAN Model | ||||
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| Abstract | SWAN is a third-generation wave model for obtaining realistic estimates of wave parameters in coastal areas, lakes and estuaries from given wind, bottom and current conditions. However, SWAN can be used on any scale relevant for wind-generated surface gravity waves. The model is based on the wave action balance equation with sources and sinks. An important question addressed is how to choose various grids in SWAN (resolution, orientation, etc.) including nesting. In general, we consider two types of grids: structured and unstructured. Structured grids may be rectilinear and uniform or curvilinear. They always consist of quadrilaterals in which the number of grid cells that meet each other in an internal grid point is 4. In unstructured grids, this number can be arbitrarily (usually between 4 and 10). For this reason, the level of flexibility with respect to the grid point distribution of unstructured grids is far more optimal compared to structured grids. Unstructured grids may contain triangles or a combination of triangles and quadrilaterals (so-called hybrid grids). In the current version of SWAN, however, only triangular meshes can be employed. Often, the characteristic spatial scales of the wind waves propagating from deep to shallow waters are very diverse and would required to allow local refinement of the mesh near the coast without incurring overhead associated with grid adaptation at some distance offshore. Traditionally, this can be achieved by employing a nesting approach. The idea of nesting is to first compute the waves on a coarse grid for a larger region and then on a finer grid for a smaller region. The computation on the fine grid uses boundary conditions that are generated by the computation on the coarse grid. Nesting can be repeated on ever decreasing scales using the same type of coordinates for the coarse computations and the nested computations (Cartesian or spherical). Note that curvilinear grids can be used for nested computations but the boundaries should always be rectangular. The use of unstructured grids in SWAN offers a good alternative to nested models not only because of the ease of optimal adaption of mesh resolution but also the modest effort needed to generate grids about complicated geometries, e.g. islands and irregular shorelines. This type of flexible meshes is particularly useful in coastal regions where the water depth varies greatly. As a result, this variable spatial meshing gives the highest resolution where it is most needed. The use of unstructured grids facilitates to resolve the model area with a relative high accuracy but with a much fewer grid points than with regular grids. It must be pointed out that the application of SWAN on ocean scales is not recommended from an efficiency point of view. The WAM model and the WAVEWATCH III model, which have been designed specifically for ocean applications, are probably one order of magnitude more efficient than SWAN. SWAN can be run on large scales (much larger than coastal scales) but this option is mainly intended for the transition from ocean scales to coastal scales (transitions where nonstationarity is an issue and spherical coordinates are convenient for nesting). A general suggestion is: start simple. SWAN helps in this with default options. Furthermore, suggestions are given that should help the user to choose among the many options conditions and in which mode to run SWAN (first-, second- or third-generation mode, stationary or nonstationary and 1D or 2D). | ||||
| Technical contact email | please check the record details page | ||||
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http://swash.sourceforge.net/
SWASH is a general-purpose numerical tool for simulating unsteady, non-hydrostatic, free-surface, ro ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://swash.sourceforge.net/ | ||||
| Parent Project URL | https://www.tudelft.nl/en/ceg/about-faculty/departments/hydraulic-engineering/sections/environmental-fluid-mechanics/research/swash | ||||
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| English name | SWASH model | ||||
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| Abstract | SWASH is a general-purpose numerical tool for simulating unsteady, non-hydrostatic, free-surface, rotational flow and transport phenomena in coastal waters as driven by waves, tides, buoyancy and wind forces. It provides a general basis for describing wave transformations from deep water to a beach, port or harbour, complex changes to rapidly varied flows, and density driven flows in coastal seas, estuaries, lakes and rivers. | ||||
| Technical contact email | please check the record details page | ||||
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https://sirocco.obs-mip.fr/ocean-models/s-model/
Symphonie is a Boussinesq hydrostatic ocean circulation model developed by the SIROCCO group. Moment ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://sirocco.obs-mip.fr/ocean-models/s-model/ | ||||
| Parent Project URL | https://sirocco.obs-mip.fr/ | ||||
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| English name | SYMPHONIE model | ||||
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| Abstract | Symphonie is a Boussinesq hydrostatic ocean circulation model developed by the SIROCCO group. Momentums and tracers are computed on an Arakawa curvilinear C-grid using an energy conserving finite difference method described in Marsaleix el al. (2008). The time stepping method consists of a Leap Frog scheme combined to a Laplacian filter (Marsaleix et al, 2012). The Bentsen et al (1999) horizontal curvilinear Grid is used to increase the horizontal resolution near the coast, meanwhile covering a large area at a reasonable cost while a generalized terrain following coordinate is used for the vertical levels. Meanwhile, the well known sigma coordinate errors reported in Auclair et al (2000) led to the use of a suitable pressure gradient scheme (Marsaleix et al, 2009, 2011). The K-epsilon turbulence closure scheme, including the wave-current effect, has been implemented according to Michaud et al (2012). The various boundary conditions (lateral open borders, river discharges, surface conditions) are discussed in Estournel et al (2009). The large scale forcing terms, included in the radiation conditions formulation, are provided by the daily outputs of the MERCATOR system based on the NEMO model (Maraldi et al, 2013). The high frequency barotropic forcing is provided by the FES2012 tidal model. The astronomical tide potential has been implemented in the momentum equations according to Pairaud et al (2008). The air/sea fluxes are computed by the bulk formulae of Large et Yeager (2004) using the 3 hourly outputs of the ECMWF model. | ||||
| Technical contact email | please check the record details page | ||||
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https://sirocco.obs-mip.fr/ocean-models/tugo/
T-UGOm is a 2D/3D ocean dynamics numerical model based on unstructured meshes. Its main distinctive ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://sirocco.obs-mip.fr/ocean-models/tugo/ | ||||
| Parent Project URL | https://sirocco.obs-mip.fr/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | T-UGOm Model | ||||
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| Abstract | T-UGOm is a 2D/3D ocean dynamics numerical model based on unstructured meshes. Its main distinctive features are: multi-discretisation capabilities (mostly LGP0, LGP1, NCP1, LGP2, continuous and discontinuous) Finite volume and finite elements schemes explicit/semi-implicit tunable Time step dynamical local sub-cycling embedded 2D/3D spectral solver for tides It is developed in C/C++, and provides(domain partion) MPI and OpenMP parallel optimisation. Sources management is based on Mercurial distributed version control system. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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http://www.opentelemac.org/
TELEMAC-MASCARET is an integrated suite of solvers for use in the field of free-surface flow. Having ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://www.opentelemac.org/ | ||||
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| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | TELEMAC-MASCARET | ||||
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| Acronym | |||||
| Citation | |||||
| Abstract | TELEMAC-MASCARET is an integrated suite of solvers for use in the field of free-surface flow. Having been used in the context of many studies throughout the world, it has become one of the major standards in its field. TELEMAC-MASCARET is managed by a consortium of core organisations: Artelia (formerly Sogreah, France), Bundesanstalt für Wasserbau (BAW, Germany), Centre d’Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement (CEREMA, France), Daresbury Laboratory (United Kingdom), Electricité de France R&D (EDF, France), and HR Wallingford (United Kingdom). TELEMAC-MASCARET is used by most partners for dimensioning and impact studies, where safety is prevailing and, for this reason, reliability, validation and a worldwide recognition of our tools are of utmost importance. As a consequence and to improve the access to TELEMAC-MASCARET for the whole community of consultants and researchers, the choice of open source has been made. Anyone can thus take advantage of TELEMAC-MASCARET and assess its performances, and will find necessary resources on this website. However the quality of assistance, maintenance and hotline support are also very important to professional users, and a special effort has been made to offer alternatively a broad range of fee-paying services. The various simulation modules use high-capacity algorithms based on the finite-element method. Space is discretised in the form of an unstructured grid of triangular elements, which means that it can be refined particularly in areas of special interest. This avoids the need for systematic use of embedded models, as is the case with the finite-difference method. All the numerical algorithms are gathered into a single library (BIEF) that is shared by all the simulation modules. This makes for consistency throughout the TELEMAC-MASCARET system. The pre- and post-processing tools are particularly powerful and user-friendly. Most of them are based on the use of Ilog/Views libraries and offer a range of extremely sophisticated functions. The grid can be generated with the generator embedded in the TELEMAC-MASCARET system (MATISSE module, now deprecated) or by others (Blue-Kenue, Janet). TELEMAC-MASCARET has numerous applications in both river and maritime hydraulics. The system was developed by the Laboratoire National d'Hydraulique, a department of Electricité de France's Research and Development Division. It is now available as open source, and is developped by the Open Telemac-Mascaret Consortium. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/pwcazenave/tappy
Tidal Analysis Program in PYthon (TAPPY) uses the least squares optimization function from scipy to ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/pwcazenave/tappy | ||||
| Parent Project URL | http://sourceforge.net/projects/tappy | ||||
| ODIS-Arch URL | |||||
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| English name | Tidal Analysis Program in PYthon | ||||
| Original (non-English) name | |||||
| Acronym | TAPPY | ||||
| Citation | |||||
| Abstract | Tidal Analysis Program in PYthon (TAPPY) uses the least squares optimization function from scipy to perform a harmonic analysis (calculate amplitude and phases of a set of sine waves) of a hourly time series of water level values. | ||||
| Technical contact email | please check the record details page | ||||
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https://biogeochemical-argo.org/data-tools.php
Tools and resources.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://biogeochemical-argo.org/data-tools.php | ||||
| Parent Project URL | https://biogeochemical-argo.org/index.php | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Tools - Biogeochemical-Argo | ||||
| Original (non-English) name | |||||
| Acronym | Tools - BGC Argo | ||||
| Citation | |||||
| Abstract | Tools and resources. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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http://www.marinegis.com/?page_id=855
Welcome to our lab website! Our group is specialized in multidisciplinary research looking at geospa ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://www.marinegis.com/?page_id=855 | ||||
| Parent Project URL | http://www.marinegis.com | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Tools - Marine Geomatics Research Lab | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | Welcome to our lab website! Our group is specialized in multidisciplinary research looking at geospatial/geographic methods for better understanding and managing marine environments. Our research includes work in marine conservation, marine protected areas, fisheries, marine ecology, marine habitat mapping and many other topics. Have a look at our members, our projects and our publications! | ||||
| Technical contact email | please check the record details page | ||||
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https://ghrc.nsstc.nasa.gov/home/resources/tools-and-technologies
The GHRC tools and technologies have been developed at the Global Hydrology Resource Center and the ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://ghrc.nsstc.nasa.gov/home/resources/tools-and-technologies | ||||
| Parent Project URL | https://ghrc.nsstc.nasa.gov/home/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Tools and Technologies - NASA's Global Hydrology Resource Center | ||||
| Original (non-English) name | |||||
| Acronym | Tools and Technologies - GHRC | ||||
| Citation | |||||
| Abstract | The GHRC tools and technologies have been developed at the Global Hydrology Resource Center and the Information Technology and Systems Center at The University of Alabama in Huntsville. The mission of the GHRC DAAC is to provide a comprehensive active archive of both data and knowledge augmentation services with a focus on hazardous weather, its governing dynamical and physical processes, and associated applications. Within this broad mandate, GHRC will focus on lightning, tropical cyclones and storm-induced hazards through integrated collections of satellite, airborne, and in-situ data sets. | ||||
| Technical contact email | please check the record details page | ||||
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https://asdc.larc.nasa.gov/tools-and-services
The Atmospheric Science Data Center (ASDC) is in the Science Directorate located at the NASA Langley ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://asdc.larc.nasa.gov/tools-and-services | ||||
| Parent Project URL | https://asdc.larc.nasa.gov/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Tools Services - Atmospheric Science Data Center | ||||
| Original (non-English) name | |||||
| Acronym | Tools Services - ASDC | ||||
| Citation | The data obtained from the ASDC are free of charge for use in research, publications and commercial applications. When data from the ASDC are used in a publication, we request this acknowledgment be included: "These data were obtained from the NASA Langley Research Center Atmospheric Science Data Center." Please include such statements, either where the use of the data or other resource is described, or within the Acknowledgements section of the publication. | ||||
| Abstract | The Atmospheric Science Data Center (ASDC) is in the Science Directorate located at the NASA Langley Research Center (LaRC), in Hampton, Virginia. The Science Directorate's Climate Science Branch, Atmospheric Composition Branch, and Chemistry and Dynamics Branch work with ASDC to study changes in the Earth and its atmosphere. Data products translate those findings into meaningful knowledge that inspires action by scientists, educators, decision makers, and the public. The ASDC supports over 60 projects and provides access to more than 1000 archived collections. These data sets were created from satellite measurements, field experiments, and modeled data products. The ASDC projects focus on the Earth science disciplines Radiation Budget, Clouds, Aerosols, and Tropospheric Composition. The Data Center was established in 1991 to support the Earth Observing System (EOS) as part of NASA's Earth Science enterprise and the U.S. Global Change Research Program, and is one of several Distributed Active Archive Centers (DAACs) sponsored by NASA as part of the Earth Observing System Data and Information System (EOSDIS). The Data Center specializes in atmospheric data important to understanding the causes and processes of global climate change and the consequences of human activities on the climate. All ASDC data are available to the public from the Explore Collections page. Detailed information about the data products, including documentation, ordering tools, and tools for working with the data, are available for each project ASDC supports. Some of the data products include web interfaces that allow direct access to the data holdings for immediate downloading. Enhanced search and subsetting capabilities are available for CALIPSO, CERES, MISR, MOPITT, TAD and TES data by accessing their individual search applications respectfully. Please visit our Tools and Services page for a complete listing of all data search and order tools accessible from the ASDC. ASDC customers include scientists; researchers; federal, state, and local governments; educational and commercial professionals; application users; the commercial remote sensing community; and the general public. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/SalishSeaCast/tracers
SalishSeaCast NEMO Model Tracer Climatology and Initialization Field Files.
Tracer boundary conditi ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/SalishSeaCast/tracers | ||||
| Parent Project URL | https://salishsea-meopar-docs.readthedocs.io/en/latest/code-notes/salishsea-nemo/nemo-forcing/index.html | ||||
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| English name | Tracers Climatology and Initialization Field Files | ||||
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| Abstract | SalishSeaCast NEMO Model Tracer Climatology and Initialization Field Files. Tracer boundary condition climatology files and domain initialization files for the SalishSeaCast NEMO model. Included are temperature, salinity, nutrients, and biological tracers. Many of these files originated in the (private) https://bitbucket.org/salishsea/nemo-forcing repository. The commit message history of files from that repository is included in their initial commit messages. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/kthyng/Tracpy
Fortran core of TRACMASS + Python wrapping around the outside.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/kthyng/Tracpy | ||||
| Parent Project URL | https://www.tracmass.org/ | ||||
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| English name | TracPy package | ||||
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| Citation | |||||
| Abstract | Fortran core of TRACMASS + Python wrapping around the outside. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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http://www.marineinsitu.eu/material/
Jupyter Notebooks, priorly known as IPython Notebooks, allow in-browser editing for both code and ri ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://www.marineinsitu.eu/material/ | ||||
| Parent Project URL | http://www.marineinsitu.eu/ | ||||
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| ODIS-Arch Type | |||||
| English name | Training material - Copernicus Marine Environment Monitoring Service In Situ Thematic Assembly Centre | ||||
| Original (non-English) name | |||||
| Acronym | Training material - CMEMS In Situ TAC | ||||
| Citation | |||||
| Abstract | Jupyter Notebooks, priorly known as IPython Notebooks, allow in-browser editing for both code and rich text (using the Markdown markup language to provide commentary for the code) as well as execution capabilities of code, with the results of computations attached (i.e plots). The ability to display both code and results inline, as well as live editing, is why the In Situ component of the Copernicus Marine Environment Monitoring Service (CMEMS) has developed with them examples of data downloading and processing (or how-to-handle netCDFs!). Although there are other tools for netCDF manipulation as well as other ways for INSTAC data downloading (CMEMS Catalogue), we highly recommend you to start with this in-browser application as first approach in understanding INSTAC FTP structure for file exchange and INSTAC data storage (netCDF files). Additional features such as exportation to python scripts for task automatization (i.e crontab) make such notebooks even more attractive. A subset of examples are listed here, but you may find more at INSTAC github. INSTAC has been participating in at least two workshops per year since 2015. Here you can find the presentations used during these training sessions. All presentations include a brief introduction to the CMEMS in situ particularities as CMEMS provider of ON-SITE observations followed by a more detailed presentation of a regional distribution unit (i.e IBI, GLO, MED, BAL, ARC etc). La Spezia and Lisbon presentations are particularly useful for checking different NetCDF tools. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/ices-taf
Repositories of fully functional ICES stock assessments.
Making the data, methods and results from ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/ices-taf | ||||
| Parent Project URL | https://www.ices.dk/data/assessment-tools/Pages/transparent-assessment-framework.aspx | ||||
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| ODIS-Arch Type | |||||
| English name | Transparent Assessment Framework - ICES | ||||
| Original (non-English) name | |||||
| Acronym | TAF - ICES | ||||
| Citation | |||||
| Abstract | Repositories of fully functional ICES stock assessments. Making the data, methods and results from ICES assessments easy to find, explore and re-run The Transparent Assessment Framework (TAF) is an online open resource of ICES stock assessments for each assessment year. All data input and output is fully traceable and versioned. The open framework enables anyone to easily find, reference, download, and run the assessment from any stage in the process leading to the published ICES advice for a given stock. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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https://github.com/moflaher/ttide_py
A direct conversion of T_Tide to Python
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/moflaher/ttide_py | ||||
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| English name | ttide_py package | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | Pawlowicz, R., B. Beardsley, and S. Lentz, "Classical Tidal "Harmonic Analysis Including Error Estimates in MATLAB using T_TIDE", Computers and Geosciences, 28, 929-937 (2002). | ||||
| Abstract | A direct conversion of T_Tide to Python | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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https://github.com/wesleybowman/UTide
Python distribution of the MatLab package UTide
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/wesleybowman/UTide | ||||
| Parent Project URL | |||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | UTide package | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | Python distribution of the MatLab package UTide | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
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https://github.com/team-ocean/veros
Veros, the versatile ocean simulator, is just that: A powerful tool that makes high-performance ocea ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/team-ocean/veros | ||||
| Parent Project URL | https://veros.readthedocs.io/en/latest/ | ||||
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| English name | veros package | ||||
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| Citation | Dion Häfner, René Løwe Jacobsen, Roman Nuterman, & Mads R. B. Kristensen. (2018, January 25). dionhaefner/veros: Veros on PyPI (Version v0.1.1). Zenodo. http://doi.org/10.5281/zenodo.1158868 | ||||
| Abstract | Veros, the versatile ocean simulator, is just that: A powerful tool that makes high-performance ocean modeling approachable and fun. Since it is a pure Python module, the days of struggling with complicated model setup workflows, ancient programming environments, and obscure legacy code are finally over. Veros supports both a NumPy backend for small-scale problems and a fully parallelized high-performance backend powered by Bohrium using either OpenMP (CPU) or OpenCL (GPU), and runs on distributed architectures via MPI. A good starting point to gain an overview of Veros' design, performance, and capabilities are these slides of a talk on Veros held during the 98th Annual Meeting of the American Meteorological Society. The underlying numerics are based on pyOM2, an ocean model developed by Carsten Eden (Institut für Meereskunde, Hamburg University). Veros is currently being developed at Niels Bohr Institute, Copenhagen University. | ||||
| Technical contact email | please check the record details page | ||||
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https://i-marine.d4science.org/group/sdg-indicator14.4.1
This VRE supports the FAO Capacity Development Workshops on Stock Status Assessment and Estimation o ...
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| Submitter/Owner | Mr. Marc Taconet ( OceanExpert : 16546 ) | ||||
| Submitter/Owner Role | FAO | ||||
| Datasource URL | https://i-marine.d4science.org/group/sdg-indicator14.4.1 | ||||
| Parent Project URL | https://elearning.fao.org/course/view.php id 502 | ||||
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| English name | VRE SDG14.4.1 - iMarine | ||||
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| Citation | |||||
| Abstract | This VRE supports the FAO Capacity Development Workshops on Stock Status Assessment and Estimation of SDG Indicator 14.4.1 led by Dr Yimin YE, FAO FIAF Branch Chief and Dr Anne-Elise NIEBLAS. This workshop is part of FAO's initiative to support the process of Sustainable Development Goals (SDGs) by raising awareness and providing technical training on the SDG 14.4.1 Indicator: Percentage of biologically sustainable fish stocks. | ||||
| Technical contact email | please check the record details page | ||||
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| Technical notes | iMarine.D4Science | ||||
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https://pypi.org/project/wafo/
WAFO is a toolbox Python routines for statistical analysis and simulation of
random waves and rando ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://pypi.org/project/wafo/ | ||||
| Parent Project URL | http://www.maths.lth.se/matstat/wafo/ | ||||
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| English name | WAFO | ||||
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| Abstract | WAFO is a toolbox Python routines for statistical analysis and simulation of random waves and random loads. | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/wafo-project/pywafo
WAFO is a toolbox of Matlab routines for statistical analysis and simulation of random waves and ran ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/wafo-project/pywafo | ||||
| Parent Project URL | http://www.maths.lth.se/matstat/wafo/ | ||||
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| English name | Wave Analysis for Fatigue and Oceanography | ||||
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| Abstract | WAFO is a toolbox of Matlab routines for statistical analysis and simulation of random waves and random loads. WAFO is freely redistributable software, see WAFO licence and contain tools for: Fatigue Analysis Fatigue life prediction for random loads Theoretical density of rainflow cycles Sea modelling Simulation of linear and non-linear Gaussian waves Estimation of frequency spectra and directional wave spectra Model spectra (JONSWAP, Torsethaugen, Bretschneider, Pierson-Moskowitz,...) Joint wave height, wave steepness, wave period distributions Statistics Extreme value analysis Multivariate Gaussian probabilities and expectations Profile log-likelihood analysis (Available in next release) Regression analysis (Available in next release) Hypothesis tests (one-sample and two sample T-test, Wilcoxon signed rank and rank-sum test,....) Kernel density estimation (Fast data-gridders with various bandwidth selectors) Hidden markov models Probability distributions and random number generators (Beta, Chi-2, Exponential, Gamma, GPD, GEV, Gumbel, Inverse Gaussian, Lognormal, Normal, Rayleigh, Students-T, Weibull,...) Bootstrap (Available in next release) Design of Experiments Numerics Derivatives (gradient, hessian, jacobian) (Available in next release) Integration (Gaussian quadratures (1D and 2D), simpson, Clenshaw-Curtis) Smoothing spline The toolbox also contains scripts for generation of plots in some publications and scripts for comparison with results in the literature. Data sets from measurements of the sea surface are included. WAFO replaces the two toolboxes Wave Analysis Toolbox (WAT) and Fatigue Analysis Toolbox (FAT). The development of numerical methods for calculating distributions of random waves dates back to the 70's, which is detailed in the next section. WAFO is developed for use with Matlab version 5.x/6.x/7.x./8.x/9.x. Some routines call programs written in Fortran. Versions for PC/Windows and Unix environments are available. We encourage you to submit new code for possible inclusion in future versions of WAFO. | ||||
| Technical contact email | please check the record details page | ||||
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https://www.bodc.ac.uk/data/documents/nodb/254628/
The WAM wave model is a 3rd generation wave model, developed by the Wave Model Development and Imple ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.bodc.ac.uk/data/documents/nodb/254628/ | ||||
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| English name | Wave Modelling WAM | ||||
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| Abstract | The WAM wave model is a 3rd generation wave model, developed by the Wave Model Development and Implementation Group (WAMDI, 1988). It was developed to resolve known issues with first generation wave models (which erroneously used a non-existent universal high-frequency equilibrium wave spectrum) and second generation wave models (which could not properly simulate complex wave fields generated by rapidly changing winds, as for example occurs with hurricanes, small-scale cyclones or fronts). The WAM model is a 3rd generation model which integrates the basic transport equation describing the evolution of a two-dimensional ocean wave spectrum without additional unplanned assumptions regarding the spectral shape. There are three explicit source functions which describe the wind input, non-linear transfer and whitecapping dissipation. There is an additional bottom dissipation source function and refraction terms are included in the finite-depth version of the model. The model runs on a spherical latitude-longitude grid and can be used in any ocean region. WAM predicts directional spectra along with wave properties such as significant wave height, mean wave direction and frequency, swell wave height and mean direction, and wind stress fields corrected by including the wave induced stress and the drag coefficient at each grid point at chosen output times. WAM can be coupled to a range of other models. Examples include the South East Asian Ocean Model (SEAOM), the Proudman Oceanographic Laboratory Coastal Ocean Modelling System ( POLCOMS ), the Nucleus for European Modelling of the Ocean model (NEMO), the High Resolution Limited Area Model (HIRLAM) model and the National Center for Atmospheric Research (NCAR) Regional Climate Model (RegCM). | ||||
| Technical contact email | please check the record details page | ||||
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https://github.com/NOAA-EMC/WW3
WAVEWATCH III® is a community wave modeling framework that includes the latest scientific advanceme ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/NOAA-EMC/WW3 | ||||
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| English name | WAVEWATCH III Model - NOAA | ||||
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| Acronym | WW3 Model - NOAA | ||||
| Citation | |||||
| Abstract | WAVEWATCH III® is a community wave modeling framework that includes the latest scientific advancements in the field of wind-wave modeling and dynamics. WAVEWATCH III® solves the random phase spectral action density balance equation for wavenumber-direction spectra. The model includes options for shallow-water (surf zone) applications, as well as wetting and drying of grid points. Propagation of a wave spectrum can be solved using regular (rectilinear or curvilinear) and unstructured (triangular) grids. See About WW3 for a detailed description of WAVEWATCH III® . | ||||
| Technical contact email | please check the record details page | ||||
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https://www.gebco.net/data_and_products/gebco_web_services/web_map_service
The GEBCO grid is available as a Web Map Service (WMS), a means of accessing geo-referenced map imag ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.gebco.net/data_and_products/gebco_web_services/web_map_service | ||||
| Parent Project URL | https://www.gebco.net/ | ||||
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| English name | Web Map Service - General Bathymetric Chart of the Oceans | ||||
| Original (non-English) name | |||||
| Acronym | WMS - GEBCO | ||||
| Citation | |||||
| Abstract | The GEBCO grid is available as a Web Map Service (WMS), a means of accessing geo-referenced map images over the internet. These maps can be viewed in a web browser or Geographic Information System (GIS) and incorporated in your own web application. Layers are available for the latest GEBCO grid, GEBCO_2020, as a shaded relief image or 'flat' map and the GEBCO Type Identifier (TID) grid. These layers can be viewed in a web browser or Geographic Information System (GIS) and incorporated in your own web application. | ||||
| Technical contact email | please check the record details page | ||||
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http://www.marinespecies.org/aphia.php?p=webservice
The aim of a World Register of Marine Species (WoRMS) is to provide an authoritative and comprehensi ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://www.marinespecies.org/aphia.php?p=webservice | ||||
| Parent Project URL | http://www.marinespecies.org/ | ||||
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| English name | Webservices - World register of marine species | ||||
| Original (non-English) name | |||||
| Acronym | Webservices - WORMS | ||||
| Citation | |||||
| Abstract | The aim of a World Register of Marine Species (WoRMS) is to provide an authoritative and comprehensive list of names of marine organisms, including information on synonymy. While the highest priority goes to valid names, other names in use are included so that this register can serve as a guide to interpret taxonomic literature. The content of WoRMS is controlled by taxonomic and thematic experts, not by database managers. WoRMS has an editorial management system where each taxonomic group is represented by an expert who has the authority over the content, and is responsible for controlling the quality of the information. Each of these main taxonomic editors can invite several specialists of smaller groups within their area of responsibility to join them. This register of marine species grew out of the European Register of Marine Species (ERMS), and its combination with several other species registers maintained at the Flanders Marine Institute (VLIZ). Rather than building separate registers for all projects, and to make sure taxonomy used in these different projects is consistent, VLIZ developed a consolidated database called ‘Aphia’. A list of marine species registers included in Aphia is available here. MarineSpecies.org is the web interface for the marine taxa available in this Aphia database. WoRMS combines information from Aphia with other authoritative marine species lists which are maintained by others (e.g. AlgaeBase, FishBase), the so-called 'externally hosted and managed species databases'. Resources to build MarineSpecies.org and Aphia were provided mainly by the EU Network of Excellence ‘Marine Biodiversity and Ecosystem Functioning’ (MarBEF), and also by the EU funded Species 2000 Europe and ERMS projects. Aphia contains valid species names, synonyms and vernacular names, and extra information such as literature and biogeographic data. Besides species names, Aphia also contains the higher classification in which each scientific name is linked to its parent taxon. The classification used is a ‘compromise’ between established systems and recent changes. Its aim is to aid data management, rather than suggest any taxonomic or phylogenetic opinion on species relationships. Keeping WoRMS up-to-date is a continuous process. New information is entered daily by the taxonomic editors and by the members of our data management team. Often data also come in from contributions of large datasets, such as global or regional species lists. No database of this size is without errors and omissions. We can’t promise to make no errors, but we do promise to follow up and give feedback on any communications pointing out errors. Feedback is very welcome! | ||||
| Technical contact email | please check the record details page | ||||
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http://gis.ices.dk/geonetwork/srv/eng/catalog.search#/search?facet.q=type%2Fservice
GeoNetwork catalog application to manage ICES web services. It provides powerful metadata editing an ...
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| Submitter/Owner | Mr. Neil Holdsworth ( OceanExpert : 16535 ) | ||||
| Submitter/Owner Role | IODE ADU | ||||
| Datasource URL | http://gis.ices.dk/geonetwork/srv/eng/catalog.search#/search?facet.q=type%2Fservice | ||||
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| English name | Web Services Catalogue - International Council for the Exploration of the Sea | ||||
| Original (non-English) name | |||||
| Acronym | Web Services Catalogue - ICES | ||||
| Citation | |||||
| Abstract | GeoNetwork catalog application to manage ICES web services. It provides powerful metadata editing and search functions as well as an interactive web map viewer. | ||||
| Technical contact email | please check the record details page | ||||
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https://www.emodnet-biology.eu/emodnet-biology-api
The EMODnet Biology data are available as a Web Feature Service (WFS) in accordance with the Open Ge ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.emodnet-biology.eu/emodnet-biology-api | ||||
| Parent Project URL | https://www.emodnet-biology.eu/ | ||||
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| English name | Web services documentation - European Marine Observation and Data Network Biology | ||||
| Original (non-English) name | |||||
| Acronym | Web services documentation - EMODnet Biology | ||||
| Citation | |||||
| Abstract | The EMODnet Biology data are available as a Web Feature Service (WFS) in accordance with the Open Geospatial Consortium (OGC) specifications. This webservice supports requests for geographical feature data (with vector geometry and attributes). The base link for performing a WFS request to EMODnet Biology is: https://geo.vliz.be/geoserver/Dataportal/ows? Essentially, the Download Toolbox developed by EMODnet Biology acts as an interactive builder for WFS requests . The URL to the WFS request can be copied to the clipboard at the last step of the selection in the Download Toolbox. | ||||
| Technical contact email | please check the record details page | ||||
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https://www.marine.csiro.au/data/wov/
A restricted web-based application deployed the RV Investigator to capture bird, cetacean and seals ...
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| Submitter/Owner | Dr. Dave Watts ( OceanExpert : 27055 ) | ||||
| Submitter/Owner Role | IODE ADU (OBIS) | ||||
| Datasource URL | https://www.marine.csiro.au/data/wov/ | ||||
| Parent Project URL | https://www.marine.csiro.au/ | ||||
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| English name | Wildlife on Voyage application | ||||
| Original (non-English) name | |||||
| Acronym | WoV | ||||
| Citation | No citation required. | ||||
| Abstract | A restricted web-based application deployed the RV Investigator to capture bird, cetacean and seals sightings, their behaviors and associated abiotic data. Data is copied from the vessel into an on-shore repository for analysis and eventual public publication via Data Trawler (ODIS id: 160) and OBIS Australia IPT (ODIS id: 161) | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | Software is open source and written in Lucee. It is available on request. Currently deployed on Postgres and Oracle databases. | ||||
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https://github.com/IQuOD/wodpy
World Ocean Database data is encoded by a specification described. This WodProfile class reads this ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/IQuOD/wodpy | ||||
| Parent Project URL | http://www.iquod.org/ | ||||
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| English name | wodpy package - International Quality controlled Ocean Database | ||||
| Original (non-English) name | |||||
| Acronym | wodpy - IQuOD | ||||
| Citation | Bill Mills, Guilherme Castelão, Simon Good, & Rowan Winsemius. (2020, January 11). IQuOD/wodpy: 1.6.2 (Version 1.6.2). Zenodo. http://doi.org/10.5281/zenodo.3605168 | ||||
| Abstract | World Ocean Database data is encoded by a specification described. This WodProfile class reads this format and returns an object with functions to help extract useful information from it. | ||||
| Technical contact email | please check the record details page | ||||
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http://www.fao.org/fishery/statistics/software/wapi/en
World Aquaculture Performance Indicators (WAPI) is an endeavor initiated by the FAO Fisheries and Aq ...
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| Submitter/Owner | Mr. Marc Taconet ( OceanExpert : 16546 ) | ||||
| Submitter/Owner Role | FAO | ||||
| Datasource URL | http://www.fao.org/fishery/statistics/software/wapi/en | ||||
| Parent Project URL | http://www.fao.org/fishery/aquaculture/en | ||||
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| English name | World Aquaculture Performance Indicators - FAO | ||||
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| Acronym | WAPI | ||||
| Citation | Fisheries and aquaculture software. World Aquaculture Performance Indicators (WAPI). In: FAO Fisheries Division [online]. Rome. Updated 31 January 2020. [Cited 14 November 2020]. http://www.fao.org/fishery/ | ||||
| Abstract | World Aquaculture Performance Indicators (WAPI) is an endeavor initiated by the FAO Fisheries and Aquaculture Department to develop user-friendly tools for compiling, generating and providing easy access to quantitative information on aquaculture sector performance at the national, regional and global levels. Information and knowledge products developed under WAPI include data analysis tools and associated technical papers and policy briefs. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | Excel | ||||
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https://cran.r-project.org/web/packages/worrms/index.html
Client for World Register of Marine Species (<http://www.marinespecies.org/>). Includes functions fo ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://cran.r-project.org/web/packages/worrms/index.html | ||||
| Parent Project URL | https://ropensci.org/ | ||||
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| English name | worrms package | ||||
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| Abstract | Client for World Register of Marine Species ( |
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| Technical contact email | please check the record details page | ||||
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https://github.com/wrf-model/WRF
The Weather Research and Forecasting (WRF) Model is a next-generation mesoscale numerical weather pr ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://github.com/wrf-model/WRF | ||||
| Parent Project URL | https://www.mmm.ucar.edu/weather-research-and-forecasting-model | ||||
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| English name | WRF Model | ||||
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| Citation | For referencing in publications or other texts any work that involves using WRF or WRF output, we encourage the citation of the model. This allows others to understand what was used and helps the WRF support effort in assessing the scope of the model's use and broader impacts. The WRF-ARW Model (Version 4) may be cited as follows: Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, Z. Liu, J. Berner, W. Wang, J. G. Powers, M. G. Duda, D. M. Barker, and X.-Y. Huang, 2019: A Description of the Advanced Research WRF Version 4. NCAR Tech. Note NCAR/TN-556+STR, 145 pp. doi:10.5065/1dfh-6p97 *NOTE: If using older versions of WRF, please use the citing information below: Version 3 Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, D. M. Barker, M. G Duda, X.-Y. Huang, W. Wang, and J. G. Powers, 2008: A Description of the Advanced Research WRF Version 3. NCAR Tech. Note NCAR/TN-475+STR, 113 pp. doi:10.5065/D68S4MVH Version 2 Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, D. M. Barker, W. Wang, and J. G. Powers, 2005: A description of the Advanced Research WRF Version 2. NCAR Tech. Note NCAR/TN-468+STR, 88 pp. doi:10.5065/D6DZ069T For citation references for WRF physics packages and specialty systems, see this page. WRF-ARW DOI The WRF-ARW Model also has a Digital Object Identifier (DOI), which is a persistent identifier for web-based resources. The WRF-ARW DOI (see link below) provides a persistent link to the WRF information web page, which connects users to the model source code, documentation, previous versions, and other resources. WRF-ARW DOI doi:10.5065/D6MK6B4K | ||||
| Abstract | The Weather Research and Forecasting (WRF) Model is a next-generation mesoscale numerical weather prediction system designed for both atmospheric research and operational forecasting applications. It features two dynamical cores, a data assimilation system, and a software architecture supporting parallel computation and system extensibility. The model serves a wide range of meteorological applications across scales from tens of meters to thousands of kilometers. The effort to develop WRF began in the latter 1990's and was a collaborative partnership of the National Center for Atmospheric Research (NCAR), the National Oceanic and Atmospheric Administration (represented by the National Centers for Environmental Prediction (NCEP) and the Earth System Research Laboratory), the U.S. Air Force, the Naval Research Laboratory, the University of Oklahoma, and the Federal Aviation Administration (FAA). For researchers, WRF can produce simulations based on actual atmospheric conditions (i.e., from observations and analyses) or idealized conditions. WRF offers operational forecasting a flexible and computationally-efficient platform, while reflecting recent advances in physics, numerics, and data assimilation contributed by developers from the expansive research community. WRF is currently in operational use at NCEP and other national meteorological centers as well as in real-time forecasting configurations at laboratories, universities, and companies. WRF has a large worldwide community of registered users (a cumulative total of over 48,000 in over 160 countries), and NCAR provides regular workshops and tutorials on it. The WRF system contains two dynamical solvers, referred to as the ARW (Advanced Research WRF) core and the NMM (Nonhydrostatic Mesoscale Model) core. The ARW has been developed in large part and is maintained by NCAR's Mesoscale and Microscale Meteorology Laboratory, and its users' page is: WRF-ARW Users' Page. The NMM core was developed by the National Centers for Environmental Prediction (NCEP), and is currently used in their HWRF (Hurricane WRF) system. This site provides general background information on the WRF Model and its organization and offers links to information on user support, code contributions, and system administration. For detailed information on model use, updates and events, support, code downloads, and documentation, please visit the WRF-ARW users' page (see above). For any questions regarding the WRF model, please post to the WRF & MPAS-A Support Forum: http://forum.mmm.ucar.edu/phpBB3/ . | ||||
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https://oss.deltares.nl/web/xbeach/
Welcome to the XBeach Open Source Community website. This website facilitates users and developers o ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://oss.deltares.nl/web/xbeach/ | ||||
| Parent Project URL | https://oss.deltares.nl/web/xbeach/ | ||||
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| English name | XBeach - Deltares | ||||
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| Abstract | Welcome to the XBeach Open Source Community website. This website facilitates users and developers of the XBeach model and intends to keep you up-to-date on developments and events. XBeach is a two-dimensional model for wave propagation, long waves and mean flow, sediment transport and morphological changes of the nearshore area, beaches, dunes and backbarrier during storms. It is a public-domain model that has been developed with major funding from the US Army Corps of Engineers, Rijkswaterstaat and the EU, supported by a consortium of UNESCO-IHE, Deltares (formerly WL|Delft Hydraulics), Delft University of Technology and the University of Miami. | ||||
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https://zenodo.org/record/4574204#.YIrsd3Uzahc
xmitgcm is a python package for reading MITgcm binary MDS files into xarray data structures. By stor ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://zenodo.org/record/4574204#.YIrsd3Uzahc | ||||
| Parent Project URL | http://mitgcm.org/ | ||||
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| English name | xmitgcm package | ||||
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| Citation | Ryan Abernathey, raphael dussin, Timothy Smith, Ian Fenty, Pascal Bourgault, Stickler Bot, … Liam Brannigan. (2021, March 2). MITgcm/xmitgcm: v0.5.1 (Version v0.5.1). Zenodo. http://doi.org/10.5281/zenodo.4574204 | ||||
| Abstract | xmitgcm is a python package for reading MITgcm binary MDS files into xarray data structures. By storing data in dask arrays, xmitgcm enables parallel, out-of-core analysis of MITgcm output data. A numerical model designed for study of the atmosphere, ocean, and climate, MITgcm’s flexible non-hydrostatic formulation enables it to efficiently simulate fluid phenomena over a wide range of scales; its adjoint capabilities enable it to be applied to sensitivity questions and to parameter and state estimation problems. By employing fluid equation isomorphisms, a single dynamical kernel can be used to simulate flow of both the atmosphere and ocean. The model is developed to perform efficiently on a wide variety of computational platforms. | ||||
| Technical contact email | please check the record details page | ||||
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https://www.infomar.ie/services
A Web Map Service (WMS) is a standard protocol developed for serving maps and data over the Internet ...
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.infomar.ie/services | ||||
| Parent Project URL | https://www.infomar.ie/ | ||||
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| English name | Web GIS Services - INFOMAR | ||||
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| Abstract | A Web Map Service (WMS) is a standard protocol developed for serving maps and data over the Internet. A WMS is hosted on a remote server and can be accessed by any open Geographic Information Systems (GIS) software similar to a website. These services are useful for GIS professionals to add INFOMAR data to their own maps or web developers and to add data to online web mapping viewers. Please note that some datasets are scale-dependent and will not be visible until you zoom in. In addition to these we have many other services available in our website. | ||||
| Technical contact email | please check the record details page | ||||
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