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 |
Topic
| TR32 Topic: | Vegetation |
| Related Subprojects: | C3, Z3, B3, B5, B6 |
| Subjects: | Keywords: Atmosphere, Vegetation, Soil, Agriculture, Biomass, Root, Leaf, Stem, Fruit, Phenology, Canopy Photosynthesis, LAI, Eddy Covariance, Surface Fluxes, CO2 Flux, Evapotranspiration, Latent Heat Flux, NEE, Sensible Heat Flux, Land Management, Nitrogen, Carbon, Precipitation, Radiation, Temperature, Wind Velocity, Pressure, Humidity, Soil Texture, Crop/s, Winter Barley, Winter Wheat, Maize, Sugar Beet, Rapeseed, Spelt, Harvest Residues |
| Geogr. Information Topic: | Environment |
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 |
Archive Content
Constraints
| 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) |
Geographic
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 Statistics
| Page Visits: | 1486 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 41 |
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Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
