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Lake ice phenology in the Northern Hemisphere extracted from SMMR, SSM/I and ...
This dataset contains ice phenology for 56 lakes in the Northern Hemisphere from 1979 to 2019. The ice phenology was extracted from 3.125 km 37 GHz H-polarized evening... -
UAV-based multispectral data in legume-grass mixtures
Multispectral data from two legume-grass mixtures (clover- and lucerne-grass) were collected in the year 2018 for aboveground biomass and nitrogen fixation (NFix) estimation. In... -
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...