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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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81 to 90 of 9,720 Results
Werla-um-1000-inkl-Gebaeude_Index03a_Grubenhaeuser-rep.FBX
Jan 5, 2023 - [Ergänzungsdaten] Werla 4 – curtem nostram nomine Werla – Architektur und Struktur einer ottonischen Königspfalz
Unknown - 126.2 MB - MD5: f631112e18df2fe554ab73a06dbd2df7
weisfeiler-leman-amr-metrics-main.zip
Jan 17, 2024 - Source code and data for the PhD Thesis "Metrics of Graph-Based Meaning Representations with Applications from Parsing Evaluation to Explainable NLG Evaluation and Semantic Search"
ZIP Archive - 25.2 KB - MD5: 726077938e900b3ab5a3be6d4badaed9
water_tank_labels.geojson
Apr 17, 2023 - Semi-supervised water tank detection to support vector control of emerging infectious diseases transmitted by Aedes Aegpyti [Research Data]
GeoJSON - 68.5 MB - MD5: 9ae93c1aac794d9e1a9e0f7d43080ee8
manually labelled water tank used for training and testing the water tank detection model for Rio de Janeiro
water_tank_detection_model.zip
Apr 17, 2023 - Semi-supervised water tank detection to support vector control of emerging infectious diseases transmitted by Aedes Aegpyti [Research Data]
ZIP Archive - 266.8 MB - MD5: ed33e5b8f5d600dba36e0f98eaa00b8b
water tank detection model SSST_50
water_tank_density.tif
water_tank_density.tif
Apr 17, 2023 - Semi-supervised water tank detection to support vector control of emerging infectious diseases transmitted by Aedes Aegpyti [Research Data]
TIFF Image - 259.8 KB - MD5: 332a4da6142c5a40f4a4c6a56a21fddf
200m water tank count above 90 percent confidence score in raster format with georeferenzed units
water_product_2_10m_3035.tif
Oct 12, 2021 - Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data]
TIFF Image - 50.6 MB - MD5: a701c0de83d23342cb8e94fe93b3a39a
water_product_1_10m_3035.tif
Oct 12, 2021 - Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data]
TIFF Image - 45.1 MB - MD5: 400187657ca4b17eed6e25b7abc9877f
water_predicted_10m_3035.tif
Oct 12, 2021 - Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data]
TIFF Image - 47.3 MB - MD5: 28fd5c5939d975822b98dd6cb23ef346
water_OSM_10m_3035.tif
Oct 12, 2021 - Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data]
TIFF Image - 47.3 MB - MD5: f64b58b4563d5240943f22b10bdf7c5b
waqf-Bibliographie_Archiv.ctv6archive
Dec 11, 2023 - Ottoman Waqf Bibliography
Unknown - 14.1 MB - MD5: d5f2e3bed89e174d90d75ccdaf45aed3
Citavi
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