CITATION.cff

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cff-version: 1.2.0
title: GFTS
message: Global Fish Tracking System
type: software
authors:
  - given-names: Benjamin
    family-names: Ragan-Kelley
    email: minrk@simula.no
    affiliation: "Simula Research Laboratory, Norway"
    orcid: "https://orcid.org/0000-0002-1023-7082"
    credit: "Deployment of the GFTS JupyterHub for the DestinE platform"
    role: Developer
  - given-names: Daniel
    family-names: Wiesmann
    email: danielwiesmann@developmentseed.org
    affiliation: "Development Seed, Portugal"
    orcid: "https://orcid.org/0000-0002-3190-4278"
    credit: "Project coordination; Visualisation"
    role: Project coordinator
  - orcid: "https://orcid.org/0000-0002-1500-0156"
    affiliation: "IFREMER, France"
    given-names: Tina
    family-names: Odaka
    email: tina.odaka@ifremer.fr
    credit: "Develop and run of Pangeo-Fish"
    role: Developer
  - orcid: "https://orcid.org/0000-0002-1784-2920"
    affiliation: "Simula Research Laboratory, France"
    email: annef@simula.no
    family-names: Fouilloux
    given-names: Anne
    credit: "Data-related development; Open Science compliance"
    role: Developer
  - orcid: "https://orcid.org/0000-0002-1032-2105"
    affiliation: "IFREMER, France"
    email: mathieu.woillez@ifremer.fr
    family-names: Woillez
    given-names: Mathieu
    credit: "Scientific advisor; Domain expertise"
    role: Scientific Advisor
identifiers:
  - type: other
    value: >-
      https://w3id.org/ro-id/2edcfa66-0f59-42f4-aa29-1c5681466424
    description: Persistent identifier of the associated RO-Crate
  - type: url
    value: >-
      https://destination-earth.eu/use-cases/global-fish-tracking-system-gfts/
    description: GFTS website.
repository-code: "https://github.com/destination-earth/DestinE_ESA_GFTS"
url: >-
  https://destination-earth.github.io/DestinE_ESA_GFTS/intro.html
abstract: >-
  This project entails the implementation of an advanced
  fish tracking system utilizing biologging data and
  high-resolution ocean temperature and bathymetry.
  Employing state-of-the-art modeling techniques and
  large-scale cloud computing, the initiative focuses on
  accurately estimating the movement of tagged fish.
  Additionally, a Decision Support Tool will be developed to
  present modeling outputs in an intuitive manner, catering
  to the needs of decision-makers in fisheries management.
keywords:
  - fisheries
  - Pangeo
  - ESA
  - DestinE
license: Apache-2.0
commit: c7ba7c1bf0afdc1e5b290644631de5c46fb67b0d
date-released: "2024-06-23"