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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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bav_pal_lat_810.xml
Apr 26, 2024 - Codices Palatini latini – Juristische Handschriften
XML - 19.7 KB - MD5: acc51c47d713a9e9d72b6ff09be7c98a
bav_pal_lat_811.xml
Apr 26, 2024 - Codices Palatini latini – Juristische Handschriften
XML - 20.3 KB - MD5: 167c12a17b193784aed8447f355f808a
bav_pal_lat_812.xml
Apr 26, 2024 - Codices Palatini latini – Juristische Handschriften
XML - 19.9 KB - MD5: 57da48d1be75883709a5215ab7f26b9c
bav_pal_lat_813.xml
Apr 26, 2024 - Codices Palatini latini – Juristische Handschriften
XML - 19.7 KB - MD5: 212ce2bca1213c1f8af1357d78e99a0d
cpl729.xml
Apr 26, 2024 - Codices Palatini latini – Juristische Handschriften
XML - 25.3 KB - MD5: ff3ab32771dbcbf1dcef8187ee5ee404
OpenStreetMap land use for Europe "Research Data"
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...
AU_10m_3035_tiled.tif
Apr 26, 2024 - OpenStreetMap land use for Europe "Research Data"
TIFF Image - 1.6 GB - MD5: 203b2fda117d26064b0988dbd15cc54b
BE_10m_3035_tiled.tif
Apr 26, 2024 - OpenStreetMap land use for Europe "Research Data"
TIFF Image - 641.3 MB - MD5: bd6c744a0050ad1feb26ccf6770fe473
BU_10m_3035_tiled.tif
Apr 26, 2024 - OpenStreetMap land use for Europe "Research Data"
TIFF Image - 1.8 GB - MD5: 59dc04cf558f779a58dc025ed7e0007d
CR_10m_3035_tiled.tif
Apr 26, 2024 - OpenStreetMap land use for Europe "Research Data"
TIFF Image - 2.2 GB - MD5: f0e213b9e11f81595cf27e5ff5099b0a
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