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Campus Collection (Forschungszentrum Jülich GmbH)
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A "catch all" like collection of datasets for research data not fitting elsewhere.
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image/x-panasonic-rw - 240.6 MB - SHA-256: ce46aa78c94302eec4743de8a41025ad0ab206d99ae5b95c0b30cbaf64308cb6
image/x-panasonic-rw - 283.4 MB - SHA-256: c8c62f0ba45fdb3429779461c7f5b027bd907509ad74b0a1942058429213f343
image/x-panasonic-rw - 255.3 MB - SHA-256: 46b74cf0d3c0b9c7e79cab5cee7db74e17eb3c039a5f00d1017538f0f9530a75
image/x-panasonic-rw - 257.9 MB - SHA-256: 2a51769ddcdd3c6971f3912316abf6ac100bf7bf03e8f367a76e1d38c9930b79
Jan 22, 2024
Loup, Ulrich; Sorg, Jürgen; Kunkel, Ralf, 2024, "A tool to migrate sensor metadata from ODM1 to an API-driven sensor-management system", https://doi.org/10.26165/JUELICH-DATA/BJPRZK, Jülich DATA, V1
The observation-data model (ODM) is a relational data model combining observation data and the corresponding metadata. The migration tool extracts the metadata and inserts it into a management tool for sensor and device data using API calls. The tool is implemented in Python and...
Dec 15, 2023
Poshyvailo-Strube, Liubov; Wagner, Niklas; Goergen, Klaus; Furusho-Percot, Carina; Hartick, Carl; Kollet, Stefan, 2023, "Regional climate scenarios with the coupled TSMP in the context of HI-CAM and the WCRP EURO-CORDEX initiative", https://doi.org/10.26165/JUELICH-DATA/9S3V5K, Jülich DATA, V1
This regional climate scenario dataset was produced with the Terrestrial Systems Modelling Platform (TSMP, https://github.com/HPSCTerrSys/TSMP). TSMP features a closed terrestrial water cycle from groundwater across the land surface into the atmosphere with a sophisticated treatm...
Jul 21, 2023
Nieberding, Felix; Huisman, Johan Alexander; Huebner, Christof; Schilling, Bernd; Weuthen, Ansgar; Bogena, Heye Reemt, 2023, "Dataset belonging to publication "Evaluation of three soil moisture profile sensors using laboratory and field experiments"", https://doi.org/10.26165/JUELICH-DATA/NAWMCS, Jülich DATA, V1
The dataset contains the raw and processed data, plots and statistics, as well as the R scripts used to generate these. It is meant as supplementary material accompanying the upcoming publication in MDPI Sensors topic "Metrology-Assisted Production in Agriculture and Forestry": h...
Plain Text - 619 B - SHA-256: 26f2893561bb31d0d5daf604264dd4c088fb22d34f4dd8462c9b5d7585aa812a
Plain Text - 26.6 KB - SHA-256: f8d8459bab2d2fb6e81d36fa5a0d7c488d9d811a661ce2c63afc4a9f177fa1bf
Plain Text - 633 B - SHA-256: e36812670eb2b0477653632bf5c77efc616316c56ecf6e432711ac510754d310
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