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Institute of Bio- and Geosciences – Agrosphere (IBG-3) (Forschungszentrum Jülich)
The dataverse of the Institute of Bio- and Geosciences – Agrosphere (IBG-3). Find usage information at https://wiki-ibg3.fz-juelich.de/ in section "Research data Management/Long-term storage and publication".
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501 to 510 of 514 Results
EMI_all.mat
MATLAB Data - 18.7 KB - SHA-256: e8e52cab33db1faa624e80f3adb5544f08e532f750842f49c89aba74882706da
Point sensor data, used for correlation
ERT_data.mat
MATLAB Data - 252.3 KB - SHA-256: 4c6a343e6be9aa98c31e32b295ba69456c4f456265eae7b0961fca41a3174f3b
Extracted ERT data, used for correlations
SensorData_combined.xls
MS Excel Spreadsheet - 9.8 MB - SHA-256: 3e1686fac7757c98b1140c408cbc34ca139a8b36c4fc27bffeaaa133b9a28400
Soil_data.xlsx
MS Excel Spreadsheet - 68.8 KB - SHA-256: b5b0aebf304fc6d58d4d381b5c63489640429ffbffd8b8089d0bcc2db088d1e6
terenodata.csv
Comma Separated Values - 18.2 MB - SHA-256: acc54edce1dab56bc71481d4fbe8254223c747e5a7a280a5b721ed39605b54dc
Data from Tereno portal with temperature and precipitation data
Grundwassergewinnungsindizes (GWGI) in Deutschland in Bezug auf die Grundwassergewinnung im Jahr 2019
Mar 12, 2025 - mGROWA Germany
Herrmann, Frank; McNamara, Ian; Flörke, Martina; Uschan, Thorben, 2025, "Grundwassergewinnungsindizes (GWGI) in Deutschland in Bezug auf die Grundwassergewinnung im Jahr 2019", https://doi.org/10.26165/JUELICH-DATA/PCOLRP, Jülich DATA, V1
Grundwassergewinnungsindizes (GWGI) in Deutschland in Bezug auf die Grundwassergewinnung im Jahr 2019. Weitere Details sind im Begleitdokument verfügbar: https://datapub.fz-juelich.de/mgrowa/GWGI_Germany_v2023/
Mit der Modellkette RCP-GCM-RCM-mGROWA projizierte Grundwasserneubildung in Nordrhein-Westfalen (NRW)
Feb 10, 2025 - mGROWA North Rhine-Westphalia
Herrmann, Frank, 2025, "Mit der Modellkette RCP-GCM-RCM-mGROWA projizierte Grundwasserneubildung in Nordrhein-Westfalen (NRW)", https://doi.org/10.26165/JUELICH-DATA/JXJOTI, Jülich DATA, V1
Mit einem Multi-Modell-Ensemble wurde analysiert, wie sich der Klimawandel auf den Grundwasserhaushalt in Nordrhein-Westfalen (NRW) auswirkt. Hierzu wurden Projektionen der zukünftigen Grundwasserneubildung für insgesamt 36 Mitglieder der Modellkette RCP-GCM-RCM-mGROWA, bestehend...
Grundwasserneubildung in Deutschland in den Dekaden von 1961 bis 2020
Feb 10, 2025 - mGROWA Germany
Herrmann, Frank, 2025, "Grundwasserneubildung in Deutschland in den Dekaden von 1961 bis 2020", https://doi.org/10.26165/JUELICH-DATA/IZCYJI, Jülich DATA, V1
Mit dem Modell mGROWA für ganz Deutschland simulierte mittlere Netto-Grundwasserneubildung. Aggregierung der Ergebnisse für die sechs Dekaden und zwei 30-Jahre-Perioden von 1961 bis 2020
Estimates of irrigation requirements throughout Germany under varying climatic conditions
Feb 7, 2025 - mGROWA Germany
Herrmann, Frank; McNamara, Ian, 2025, "Estimates of irrigation requirements throughout Germany under varying climatic conditions", https://doi.org/10.26165/JUELICH-DATA/SJ6HJH, Jülich DATA, V1
As climate change brings about hotter and often drier summers, an improved understanding of how irrigation requirements vary according to climatic conditions is of increasing importance. Within Germany, temperate conditions have historically enabled most agriculture to be supplie...
Data Management Plan "DG-RR: Digitales Geosystem-Rheinisches Revier"
Data Management Plan "DG-RR: Digitales Geosystem-Rheinisches Revier"
Nov 23, 2024 - DG-RR: Digitales Geosystem-Rheinisches Revier
Nieberding, Felix, 2024, "Data Management Plan "DG-RR: Digitales Geosystem-Rheinisches Revier"", https://doi.org/10.26165/JUELICH-DATA/QPUHB3, Jülich DATA, V1
Data Management Plan for BMBF Project "DG-RR: Digitales Geosystem-Rheinisches Revier"
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