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PNG Image - 2.1 MB - MD5: e86acbe11f4a989d05d8db3ceb1e1e7a
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Network Common Data Form - 339.5 MB - MD5: 6558c40f4fbc7b6222d790699359ba98
Data
PNG Image - 2.0 MB - MD5: 4bd1fbf8d3f1bb1c2a1d7fb4e2aa1e02
Image
Network Common Data Form - 352.8 MB - MD5: a1b01ef8a0d2c5272ad48096c6d2a603
Data
PNG Image - 2.1 MB - MD5: afc2d4258f46fdf58b67fddd1091cc23
Image
Network Common Data Form - 349.7 MB - MD5: 3bee4afc22c8d196adddd400500cb5dd
Data
PNG Image - 2.1 MB - MD5: 9f40db1513ce8fc4beb237696ed602ed
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MS Excel Spreadsheet - 12.1 KB - MD5: 1786d46774172a064064c27e5e0418f7
Landuse simplifications used for calculating statistics
MS Excel Spreadsheet - 29.6 KB - MD5: 8c509b3e21b6cd2f277e0f087f8027da
In the excel file ” metadata_geotif_zip_files” you find meta data for the 5 .zip files: dkmtif.zip, fohm.zip, fohm_descr.zip, magopl.zip, redox.zip
Feb 17, 2026 - Water resources
Voutchkova, Denitza, 2026, "Time Series Plots for As, Cu, Pb, Zn, and pH for the GRUMO wells with stainless steel filters", https://doi.org/10.22008/FK2/TJHYZO, GEUS Dataverse, V1
Time series plots for As, Cu, Pb, Zn, and pH for the GRUMO wells with stainless steel filters (in Danish: Johnsonfiltre). These plots were used to identify well screens with high variability or outliers in the trace elements As, Cu, Pb, and Zn, potentially as a function of pH var...
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