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Decadal changes in Arctic Ocean Chlorophyll a: bridging ocean color observati...
This dataset is related to the article "Decadal changes in Arctic Ocean Chlorophyll a: bridging ocean color observations from the 1980s to present time" In Remote Sensing of... -
Fabas forest plots acquired during the HYPERBIO project
This dataset was collected during the TOSCA HYPERBIO project supported by CNES, in collaboration with ONERA/DOTA and TETIS Lab. The FABAS forest is located in the “Vallées et... -
SDM of black grouse broods in the French Alps
Dataset and R script used to build a species distribution model for black grouse (Lyrurus tetrix) broods in the northern French Alps (RBC3) within the altitude range 1600-2400m... -
GLORIA, ALIMA, BAHAMAS and ECMWF IFS data for SouthTRAC flight 10 from 16 to ...
This dataset includes airborne observations together with forecasts and analyses that were used to study non-orographic gravity waves during research flight ST10 of the... -
POLSTRACC F14 ICECREAM
The data set presented here consists of a case study in the framework of the DFG-project ICECREAM (Analysis of high-latitude cirrus cloud feedbacks on the trace gas composition... -
TREELINE - Longterm atmospheric and pedo-climatic observations along an upper...
This data set includes meteorological and pedo-climatic data obtained from a study area in central Himalayas, Nepal. The study area is located in the Rolwaling valley along the... -
Large-scale polluted cloud tracks
Polluted cloud tracks identified in MODIS satellite data. -
Pollution track days
Dates of polluted cloud tracks identified in MODIS satellite data. -
Supplementary data to Walther et al. (2021), A view from space on global flux...
Quality checked and gap-filled daily MODIS observations of surface reflectance and land surface temperature at global eddy co-variance sites for the time period 2000-2020. Two... -
The FluxnetEO dataset (Landsat)
This is version 2 of quality checked and gap-filled monthly Landsat observations of surface reflectance at global eddy co-variance sites for the time period 1984-2022. Two... -
Supplementary data to Walther et al. (2021), A view from space on global flux...
Quality checked and gap-filled monthly Landsat observations of surface reflectance at global eddy co-variance sites for the time period 1984-2017. Two product versions: one... -
The FluxnetEO dataset (MODIS)
This is version 2 of quality checked and gap-filled daily MODIS observations of surface reflectance and land surface temperature at global eddy co-variance sites for the time... -
Replication Data for: Land-use intensity impacts habitat selection of ground-...
This dataset contains all data and scripts required to replicate the results in the paper and consists of four zipped folders. Three of them correspond to the analyses involved... -
Methoden zur Bestimmung stadtklimatischer Parameter und deren Belastbarkeit
Die für die Bestimmung stadtklimatischer Parameter wie Wind, Temperatur, Feuchte, Niederschlag und Luftbelastung geeigneten Messmethoden (in-situ, mobil, fernerkundet) und... -
The PROFOUND database for evaluating vegetation models and simulating climate...
Version History: 29 April 2020: Release of Version 0.3This is an updated version of Reyer et al., (2019, V. 0.1.12, http://doi.org/10.5880/PIK.2019.008). All changes and updates... -
The PROFOUND database for evaluating vegetation models and simulating climate...
Current process-based vegetation models are complex scientific tools that require proper evaluation of the different processes included in the models to prove that the models... -
SEVA: Scalable explorative change detection for big Sentinel-2 data
SEVA is a scalable exploration tool that supports users to conduct change detection based on optical Sentinel-2 satellite observations. It supports the following... -
Supplement to: Monitoring snow depth by GNSS reflectometry in built-up areas:...
We provide data of a case study from the GNSS station Wettzell, Germany (WTZR). This data set contains snow depth derived from GNSS data using reflectometry. It covers a time... -
High-resolution photogrammetry data of the Santiaguito lava dome collected by...
Imaging growing lava domes has remained a great challenge in volcanology due to their inaccessibility and the severe hazard of collapse or explosion. Here, we present... -
GeoMultiSens: Scalable Multi-Sensor Analysis Platform for Remote Sensing Data
GeoMultiSens developed an integrated processing pipeline to support the analysis of homogenized data from various remote sensing archives. The processing pipeline has five main...