A comprehensive dataset of vegetation states, fluxes of matter and energy, weather, agricultural management, and soil properties from intensively monitored crop sites in Western Germany

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Title:Main Title: A comprehensive dataset of vegetation states, fluxes of matter and energy, weather, agricultural management, and soil properties from intensively monitored crop sites in Western Germany
Description:Abstract: A collection of field data from four agricultural sites in the Rur catchment in Western Germany collected in the frame of the Transregional Collaborative Research Centre 32 “Patterns in Soil-Vegetation-Atmosphere-Systems: Monitoring, Modelling and Data Assimilation” (TR32). The dataset includes data on vegetation (states and fluxes), weather, soil, and agricultural management. Vegetation-related data comprises fresh and dry biomass (green and brown, predominantly per organ), plant height, green and brown leaf area index, phenological development state, nitrogen and carbon content, and carbon-, energy- and water-fluxes for a variety of agricultural plants. In addition, masses of harvest residues and regrowth of vegetation after harvest or before planting of the main crop are included. Data on agricultural management includes sowing and harvest dates, and information on cultivation, fertilization and agrochemicals. The dataset also includes gap-filled weather data and soil parameters (particle size distributions, carbon and nitrogen contents). This data can be useful for development and validation of remote sensing products. A detailed description of the dataset can be found in Reichenau et al. (2020).
Identifier:10.5880/TR32DB.39 (DOI)
Related Resource:Is New Version Of Dataset https://www.tr32db.uni-koeln.de/data.php?dataID=1886 (URL)
Responsible Party
Creators:Tim G. Reichenau (Author), Wolfgang Korres (Author), Marius Schmidt (Author), Alexander Graf (Author), Gerd Welp (Author), Nele Meyer (Author), Anja Stadler (Author), Cosimo Brogi (Author), Karl Schneider (Author)
Contributors:Transregional Collaborative Research Centre 32 (Meteorological Institute, University of Bonn) (Other), TERENO - Terrestrial Environmental Observatories (Forschungszentrum Jülich GmbH) (Other)
Funding Reference:Deutsche Forschungsgemeinschaft (DFG): CRC/TRR 32: Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling and Data Assimilation
Publisher:CRC/TR32 Database (TR32DB)
Publication Year:2020
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File Details
Filename:reichenau_et_al_crop_and_ancillary_data_v1.0.zip
Data Type:Dataset - Dataset
Size:106 Datasets
File Size:29.6 MB
Date:Available: 23.06.2020
Mime Type:application/zip
Data Format:ZIP
Language:English
Status:Completed
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Download Permission:Free
Download Information:Download of the data underlies [Creative Commons] - Attribution 4.0 International (CC BY 4.0). Any other information is not valid and can be ignored.
General Access and Use Conditions:According to CC BY 4.0
Access Limitations:no limitations
Licence:[Creative Commons] Attribution 4.0 International (CC BY 4.0)
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Specific Information - Data
Temporal Extent:04.03.2008, 00:00:00 - 10.07.2017, 23:59:00
Subtype:Natural Science Data
Metadata Details
Metadata Creator:Tim G. Reichenau
Metadata Created:23.06.2020
Metadata Last Updated:23.06.2020
Subproject:C3
Funding Phase:3
Metadata Language:English
Metadata Version:V50
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Dataset Downloads:15
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