Data-to-Knowledge Package for a Reproducible Spatiotemporal Trend Detection Analysis
- 1. Latvian Institute of Aquatic Ecology, Agency of Daugavpils University
- 2. 52°North Spatial Information Research
- 3. Leibniz Institute of Freshwater Ecology and Inland Fisheries
Description
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?”
How to run the workflow:
Step 1: Visit https://aqua.usegalaxy.eu/ and login.
Step 2: On your local computer, create two .txt files. One file includes the URL https://zenodo.org/records/15234377/files/inputdata_points.json?download=1 to the first input dataset, the other one contains the URL https://zenodo.org/records/15234377/files/inputdata_shapefile.zip?download=1 to the second input dataset.
Step 3: Upload the two .txt files to your Galaxy history and give the history a meaningful name. Drag & Drop the two files to Galaxy. Alternatively, use the "Upload" function on the left, drop the files there, and click on start. Wait until the files are uploaded. For more details, please visit the Galaxy documentation.
Alternative to Step 2 +3: You can also use the AquaINFRA Interaction Platform to find the two input datasets and import them into the Galaxy platform. This might be particularly interesting for the first input dataset, which is made accessible as an OGC API Features services allowing you to filter the data according to your needs. On the right of the landing page of the dataset, click on "Import to Galaxy" and define your filter (e.g., setting a bounding box, defining properties). The URL will change accordingly. Finally, click on "Import to Galaxy" to send the URL to Galaxy, which will create a .txt file as in step 2 + 3.
Step4: Follow the URL https://aqua.usegalaxy.eu/u/markus.konkol/w/copy-of-adj-aquainfras-daugava-workflow-shared-by-user-alabuce and click on "Run" (upper right corner). Select the .txt file containing the URL to JSON file in the input field "points" and the .txt file containing the URL to the Shapefile in the input field "shapefile polygons". Finally click on run.
Note: The URL to the Galaxy workflow above https://aqua.usegalaxy... is not a permanent URL. We're using it here for convenience but if it's not available at some point in the future, please use the Workflow file in this Zenodo record: https://doi.org/10.5281/zenodo.14810601. For more details on how to import workflow files to Galaxy, please visit the Galaxy documentation.
Files
ro-crate-metadata.json
Files
(16.6 kB)
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Checksum: md5:0db4e564229e666343c9b748803aced3
PID: http://hdl.handle.net/11304/9687057e-7e98-4335-ad35-69f6e08ca668 |
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Additional details
Related works
- Is identical to
- 10.5281/zenodo.17143387 (DOI)
- Is version of
- 10.5281/zenodo.14830529 (DOI)
Funding
- European Commission
- 101094434
AquaINFRA Metadata
- Programming languages
- r, python, xml, json