{ "@context": [ "https://w3id.org/ro/crate/1.1/context", { "@base": null } ], "@graph": [ { "@id": "ro-crate-metadata.json", "@type": "CreativeWork", "conformsTo": { "@id": "https://w3id.org/ro/crate/1.1" }, "about": { "@id": "./" } }, { "@id": "./", "@type": [ "Dataset", "Collection" ], "name": "Data-to-Knowledge Package for a Reproducible Spatiotemporal Trend Detection Analysis", "hasPart": [ { "@id": "#dataset_1" }, { "@id": "#dataset_2" }, { "@id": "#toolbox_1" }, { "@id": "#virtual_lab_1" }, { "@id": "#web_API_service_1" }, { "@id": "#computational_workflow_1" } ], "creator": [ { "@id": "#astra_labuce" }, { "@id": "#markus_konkol" }, { "@id": "#merret_buurman" } ], "abstract": "A Data-to-Knowledge Package (D2K-Package) links data and computational code underlying a reproducible spatiotemporal trend detection analysis. This D2K-Package is developed to integrate and structure meta-objects, providing a framework for addressing the research question: “Do the optical properties in the Gulf of Riga (Baltic Sea) water change in the long term?”", "identifier": { "@id": "https://doi.org/10.5281/zenodo.15354757" }, "version": "1.5", "license": { "@id": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "funding": { "@id": "#aqua_funding" }, "datePublished": "2025-02-19T05:00:00.000Z", "keywords": "Data-to-Knowledge Package, D2K-Package, FAIR data, Open data, Open code, Workflow, OGC API Process, Hydrology, Gulf of Riga, Daugava", "url": { "@id": "https://aquainfra.dev.52north.org/result/zenodo:15354757" } }, { "@id": "#dataset_1", "@type": [ "Dataset" ], "name": "HELCOM subbasins with coastal WFD waterbodies or watertypes 2022 (level 4a)", "description": "This dataset includes assessment units in scale 4.", "@reverse": { "hasPart": { "@id": "./" } }, "identifier": [ { "@id": "#link1" }, { "@id": "#link2" }, { "@id": "#link13" } ] }, { "@id": "#dataset_2", "@type": [ "Dataset" ], "name": "Latvian Secchi depth and water colour", "description": "Latvian Secchi depth and water colour dataset.", "@reverse": { "hasPart": { "@id": "./" } }, "identifier": [ { "@id": "#link3" }, { "@id": "#link4" }, { "@id": "#link14" } ] }, { "@id": "#toolbox_1", "@type": [ "SoftwareSourceCode" ], "name": "A Toolbox for Spatiotemporal Trend Detection Analysis", "description": "This toolbox provides a set of predefined functions designed for spatiotemporal trend detection analysis, enabling reproducible data processing, statistical assessment, and visualisation of the results.", "@reverse": { "hasPart": { "@id": "./" } }, "identifier": [ { "@id": "#link5" }, { "@id": "#link6" }, { "@id": "#link7" } ] }, { "@id": "#virtual_lab_1", "@type": [ "SoftwareApplication" ], "name": "A MyBinder-based virtual lab", "description": "This virtual lab re-creates the computational environment in RStudio", "identifier": { "@id": "#link8" }, "@reverse": { "hasPart": { "@id": "./" } } }, { "@id": "#web_API_service_1", "@type": [ "WebAPI" ], "name": "A pygeoapi-based web API service", "description": "This pygeoapi instance provides the functions in the toolbox as web API services.", "@reverse": { "hasPart": { "@id": "./" } }, "identifier": [ { "@id": "#link9" }, { "@id": "#link7" }, { "@id": "#link5" }, { "@id": "#link6" } ] }, { "@id": "#computational_workflow_1", "@type": [ "ComputationalWorkflow" ], "name": "A Workflow for Spatiotemporal Trend Detection Analysis", "description": "This workflow integrates spatial and temporal dimensions to analyze long-term trends in environmental parameters.", "@reverse": { "hasPart": { "@id": "./" } }, "identifier": [ { "@id": "#link10" }, { "@id": "#link11" }, { "@id": "#link12" } ] }, { "@id": "#link1", "@type": [ "URL" ], "name": "https://maps.helcom.fi/website/MADS/download/?id=67d653b1-aad1-4af4-920e-0683af3c4a48", "@reverse": { "identifier": { "@id": "#dataset_1" } } }, { "@id": "#link3", "@type": [ "URL" ], "name": "https://aquainfra.dev.52north.org/result/aquainfra-platform:3bc62e14-e6b3-476e-9be2-989477fea534", "@reverse": { "identifier": { "@id": "#dataset_2" } } }, { "@id": "#astra_labuce", "@type": [ "Person" ], "name": "Astra Labuce", "@reverse": { "creator": { "@id": "./" } }, "identifier": { "@id": "https://orcid.org/0000-0002-2764-678X" }, "affiliation": { "@id": "#daugava" } }, { "@id": "https://orcid.org/0000-0002-2764-678X", "@type": [ "URL" ], "name": "https://orcid.org/0000-0002-2764-678X", "@reverse": { "identifier": { "@id": "#astra_labuce" } } }, { "@id": "#daugava", "@type": [ "Organization" ], "name": "Latvian Institute of Aquatic Ecology, Agency of Daugavpils University", "@reverse": { "affiliation": { "@id": "#astra_labuce" } } }, { "@id": "#markus_konkol", "@type": [ "Person" ], "name": "Markus Konkol", "identifier": { "@id": "https://orcid.org/0000-0001-6651-0976" }, "affiliation": { "@id": "#52n" }, "@reverse": { "creator": { "@id": "./" } } }, { "@id": "https://orcid.org/0000-0001-6651-0976", "@type": [ "URL" ], "name": "https://orcid.org/0000-0001-6651-0976", "@reverse": { "identifier": { "@id": "#markus_konkol" } } }, { "@id": "#52n", "@type": [ "Organization" ], "name": "52°North Spatial Information Research", "@reverse": { "affiliation": { "@id": "#markus_konkol" } } }, { "@id": "#merret_buurman", "@type": [ "Person" ], "name": "Merret Buurman", "identifier": { "@id": "https://orcid.org/0000-0001-6945-456X" }, "affiliation": { "@id": "#leibniz" }, "@reverse": { "creator": { "@id": "./" } } }, { "@id": "https://orcid.org/0000-0001-6945-456X", "@type": [ "URL" ], "name": "https://orcid.org/0000-0001-6945-456X", "@reverse": { "identifier": { "@id": "#merret_buurman" } } }, { "@id": "#leibniz", "@type": [ "Organization" ], "name": "Leibniz Institute of Freshwater Ecology and Inland Fisheries", "@reverse": { "affiliation": { "@id": "#merret_buurman" } } }, { "@id": "https://doi.org/10.5281/zenodo.15354757", "@type": [ "URL" ], "name": "https://doi.org/10.5281/zenodo.15354757", "@reverse": { "identifier": { "@id": "./" } } }, { "@id": "https://creativecommons.org/licenses/by/4.0/legalcode", "@type": [ "URL" ], "name": "https://creativecommons.org/licenses/by/4.0/legalcode", "@reverse": { "license": { "@id": "./" } } }, { "@id": "#aqua_funding", "@type": [ "Grant" ], "name": "AquaINFRA — Infrastructure for Marine and Inland Water Research 101094434 European Commission", "@reverse": { "funding": { "@id": "./" } } }, { "@id": "https://aquainfra.dev.52north.org/result/zenodo:15354757", "@type": [ "URL" ], "name": "https://aquainfra.dev.52north.org/result/zenodo:15354757", "@reverse": { "url": { "@id": "./" } } }, { "@id": "#link2", "@type": [ "URL" ], "name": "https://aquainfra.dev.52north.org/result/helcom:67d653b1-aad1-4af4-920e-0683af3c4a48", "@reverse": { "identifier": { "@id": "#dataset_1" } } }, { "@id": "#link4", "@type": [ "URL" ], "name": "https://vm4072.kaj.pouta.csc.fi/ddas/oapif/collections/lva_secchi/items?f=json&limit=5871", "@reverse": { "identifier": { "@id": "#dataset_2" } } }, { "@id": "#link5", "@type": [ "URL" ], "name": "https://doi.org/10.5281/zenodo.15350797", "@reverse": { "identifier": [ { "@id": "#toolbox_1" }, { "@id": "#web_API_service_1" } ] } }, { "@id": "#link6", "@type": [ "URL" ], "name": "https://github.com/AstraLabuce/aquainfra-usecase-Daugava/tree/containerize", "@reverse": { "identifier": [ { "@id": "#toolbox_1" }, { "@id": "#web_API_service_1" } ] } }, { "@id": "#link7", "@type": [ "URL" ], "name": "https://aquainfra.dev.52north.org/result/zenodo:15350797", "@reverse": { "identifier": [ { "@id": "#toolbox_1" }, { "@id": "#web_API_service_1" } ] } }, { "@id": "#link9", "@type": [ "URL" ], "name": "https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes?f=html", "@reverse": { "identifier": { "@id": "#web_API_service_1" } } }, { "@id": "#link8", "@type": [ "URL" ], "name": "https://mybinder.org/v2/gh/AstraLabuce/aquainfra-usecase-Daugava/containerize", "@reverse": { "identifier": { "@id": "#virtual_lab_1" } } }, { "@id": "#link10", "@type": [ "URL" ], "name": "https://aqua.usegalaxy.eu/u/markus.konkol/w/copy-of-adj-aquainfras-daugava-workflow-shared-by-user-alabuce", "@reverse": { "identifier": { "@id": "#computational_workflow_1" } } }, { "@id": "#link11", "@type": [ "URL" ], "name": "https://doi.org/10.5281/zenodo.15350861", "@reverse": { "identifier": { "@id": "#computational_workflow_1" } } }, { "@id": "#link12", "@type": [ "URL" ], "name": "https://aquainfra.dev.52north.org/result/zenodo:15350861", "@reverse": { "identifier": { "@id": "#computational_workflow_1" } } }, { "@id": "#link13", "@type": [ "URL" ], "name": "https://doi.org/10.5281/zenodo.15234377", "@reverse": { "identifier": { "@id": "#dataset_1" } } }, { "@id": "#link14", "@type": [ "URL" ], "name": "https://doi.org/10.5281/zenodo.15234377", "@reverse": { "identifier": { "@id": "#dataset_2" } } } ] }