Data-to-Knowledge Package for a Reproducible Spatiotemporal Trend Detection Analysis

A Data-to-Knowledge Package (DKP) links data and computational code underlying a reproducible spatiotemporal trend detection analysis.

This DKP 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: Visit the input dataset “Latvian Secchi depth and water colour” on the AquaINFRA platform and click on “Import to Galaxy”. Limit the dataset to 3000 data points and click on “Import to Galaxy”. This will create a .txt file in your history on Galaxy including the URL to the data.

Step 3: Visit the input dataset “HELCOM subbasins with coastal WFD waterbodies or watertypes 2022 (level 4a)”. Open the URL https://maps.helcom.fi/website/MADS/download/?id=67d653b1-aad1-4af4-920e-0683af3c4a48 in a new tab and accept the data usage disclaimer to activate the download link. Then go back to the AquaINFRA platform and paste the URL https://maps.helcom.fi/arcgis/rest/directories/arcgisoutput/MADS/tools_GPServer/_ags_HELCOM_subbasin_with_coastal_WFD_waterbodies_or_wa.zip to the input field “Insert URL to a dataset” and then click on “Import to Galaxy”. This will create a .txt file in your history on Galaxy including the URL to the data.

Step 4: Click on the workflow and open it on Galaxy. Import the workflow and use the two .txt files created in Step 2 and Step 3 as inputs for the workflow.