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heiDATA is an institutional repository for Open Research Data from Heidelberg University. It is managed by Heidelberg University's Research Data Unit, a joint institution of the University Library and the Computing Centre. If you are interested in publishing your data here, please have a look at our user guide and get in touch with us. Detailed information on heiDATA can be found in our service description.
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TAR Archive - 11.3 GB - MD5: 1831602c240833a671d3137230a940f9
TAR Archive - 18.5 GB - MD5: e1edbf66fdf5de92fdf37b0814fdf80e
TAR Archive - 12.0 GB - MD5: 58166f2fe3e9ff0690547dc1fd700360
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TAR Archive - 18.0 GB - MD5: 99373648b7a75c99f14151b43f0d064e
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TAR Archive - 60.7 GB - MD5: c9a62ca1c3645c8da3ecc0a7bf45a218
TAR Archive - 40.0 GB - MD5: c458bbac734e1a2a0039a1701a5093c3
Apr 26, 2024 - GIScience / Geoinformatics Research Group
Schultz, Michael; Li, Hao; Wu, Zhaoyhan; Wiell, Daniel; Auer, Michael; Zipf, Alexander, 2024, "OpenStreetMap land use for Europe "Research Data"", https://doi.org/10.11588/data/IUTCDN, heiDATA, V1
OSMLanduse data is a scientific dataset generated within the scope of the Horizon 2020 - LandSense project. It is a classification of Sentinel-2 imagery using a deep learning model trained on OSM landuse and landcover features. The data might contain errorneous classifications. T...
TIFF Image - 1.6 GB - MD5: 203b2fda117d26064b0988dbd15cc54b
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