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Distributed Acoustic Sensing (DAS) data from a three-dimensional DAS array to...
This archive contains the data associated with the publication by Azzola and Gaucher (2026), entitled “A three-dimensional Distributed Acoustic Sensing array to monitor local... -
Data from Bremer et al. (2026)
Data part of the research article entitled: Participatory monitoring in geothermal projects: a combined socio‑geophysical approach to seismicity, risk perception and... -
Geomorphological map of the lower Meuse river terraces
This dataset contains an updated geomorphological terrace map of the lower Meuse Valley located in the southern Netherlands and adjoining areas of northeastern Belgium and... -
Biogeographic data from BODC - British Oceanographic Data Centre
Partial contribution from the British Oceanographic Data Centre's databases (see below for details on status). -
Olaus Magnus: Toonneel der Noordsche Landen (1652)
Olaus de Groot: Toonneel der Noordsche Landen, daer op in ’t kort en klarelijck al de wonderen en vreemdigheden, die men in die Landen vindt, vertoont worden. Met een korte en... -
Olaus Magnus: De vvonderlijcke Historie vande Noordersche landen (1562)
De vvonderlijcke Historie vande Noordersche landen beschreuen door den Hoochgheleerden ende Eerweerdighen Heere Olaus de Groote Eertsbisschop van Vpsalen ende Ouerste vande... -
Agrarian employment structures in West Bengal and Bihar, GIS
This is an ArcMap shapefile that includes the exact spatial boundaries of all 90,000 agrarian settlements in Bihar and West Bengal, India. The file includes a unique settlement... -
Climate and landscape variables of Bavaria quadrants in LandKlif study design
LandKlif project aims at studying the effects of climate change on biodiversity and ecosystem services in different landscape types. We used the Bavaria quadrants as a... -
Climate and landscape variables of study plots in LandKlif project
LandKlif project aims at studying the effects of climate change on biodiversity and ecosystem services in different landscape types. We used the Bavaria quadrants as a... -
Edge density of landuse patches from detailed land cover map in series of buf...
Based on detailed land cover map created by LandKlif project, we calculated the edge density of landuse patches (the sum of the lengths in meter of all edge segments of LUclass... -
Dissertation Constantin Meyer: Planning Support System (Python-Notebooks)
Im Rahmen der Dissertation "Zonierungsmodelle als Baustein Alpiner Raumordnung: Entwicklung planungsunterstützender multikriterieller GIS-Methoden im Hinblick auf eine... -
Bodenkohlenstoffdaten Universitätswald Sailershausen
Das Dataset enthält Bodenkohlenstoffdaten des Universitätswalds Sailershausen. Die Daten wurden 2024 in einem 400 m mal 400 m Raster erhoben. Das Beprobungsraster wurde über die... -
Landscape composition of landuse classes from detailed land cover map and sha...
Based on detailed land cover map created by LandKlif project, we calculated the landscape composition as well as shannon diversity based on land use class (LUclass) for 100 -... -
Crop Indicators: Sorghum_S
Crop water need: Let ET0i be the daily potential evapotranspiration [mm] for day i, and Kc(pl,ph) the crop factor per plant pl and phase ph, and s(pl,ph) and e(pl,ph) the... -
Extremely Wet Days (r99p)
cdo -yearpctl,99 RR.nc -yearmin RR.nc -yearmax RR.nc out.nc Annual threshold for extreme heavy precipitation: Let RRt be the daily precipitation amount on day t. For r99p list... -
Highest 1-day Precipitation (rx1day)
cdo -yearmax RR.nc out.nc Highest single day precipitation: Let RRt be the daily precipitation amount on day t. For rx1day search the maximum value of RRt in one year. Climate... -
Remote Sensing Indicators: Forest Cover
Predicted monthly forest cover dataset in a spatial resolution of 1 x 1 km based on MODIS and AVHRR datasets. For predicting the retrospective forest cover values the STARFM... -
Climate Indicators: Total Precipitation in Rainy Season (rtotrs)
cdo -yearsum -ifthen -gec,1 RRmask.nc RRmask.nc out.nc Annual precipitation sum in rainy season: Let RRt be the daily precipitation amount on day t. For Rtotrs sum up RRt for... -
Crop Indicators: Soybean_L
Crop water need: Let ET0i be the daily potential evapotranspiration [mm] for day i, and Kc(pl,ph) the crop factor per plant pl and phase ph, and s(pl,ph) and e(pl,ph) the... -
Water Availability (wa)
Water balance: Let ETi be the daily actual evapotranspiration [mm] (calculated by the daily surface latent heat flux) then WA is the daily average of the difference of the daily...
