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Jülich DATA (Forschungszentrum Jülich GmbH)
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Comma Separated Values - 18.6 KB - SHA-256: 5b23abe6e44899df2a5fcaf3e8ccc20a7e5f2b2aaf588041b642ad9cc09d7715
Comma Separated Values - 18.6 KB - SHA-256: 2740f3c972442b870c34f4478cdc5b042b5713bfb928fad618b5925dc7471740
MATLAB Data - 103.8 KB - SHA-256: 791b55d3d6d0744539920e25cca1f89c67b0979d70bf102f807ac1fbd90422fe
saved octave session; ASCII, file can be loaded from LEISfit.m
MATLAB Data - 31.7 KB - SHA-256: 2e9aa6fe4c1af88a43365d338d49c4ce9671d334fb3a2ed581d7898af41e4d34
saved octave session; ASCII, file can be loaded from LEISfit.m
MATLAB Data - 1.5 GB - SHA-256: c857dcb16d15ff2939d25c68c721900f181319b43048cfcec8305e8582182c19
MATLAB Data - 205 B - SHA-256: 49c7eef5faf1752b5f46963a215391ff451f6c893c121025fe602b3d2558ceb7
MATLAB Data - 565.5 MB - SHA-256: 47ca34c6753850d90b42af54d5bba04ac4ad3b15b09510a2fa03070d011f09a3
MATLAB Data - 211 B - SHA-256: ff61b4e4b2ad1239a326c4e63cc8160c77aade50ce8a20b0c083c1351c40be1b
Network Common Data Form - 335.9 MB - SHA-256: a0ac27eb52a9fbffc8620acdb5ba8eebe44ad11daa0001aeaf59a78b4aa8744f
Monthly groundwater table depth anomalies generated from the proposed LSTM networks
Network Common Data Form - 167.9 MB - SHA-256: cb307f74a193b7dc06443d50c61357fd50625c8bd8610094ba485309e4c4445f
Monthly groundwater table depth anomalies calculated from the TSMP-G2A data set
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