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Number of available datasets: 110
Weather Data 2015, Dedelow, Germany10.4228/ZALF.2015.332DedelowShow on mapgo to DataCiteView sample dataDownload complete datasetCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International
Verch, Gernot
The agrometeorological weather station Dedelow was installed in 1991 by the Leibniz-Centre for Agricultural Landscape Research (ZALF) e.V. and is managed by the research station of ZALF in Dedelow. The station is located within the municipality Dedelow, district Uckermark, state Brandenburg, Germany. Altitude in meter: 49 NN, Geographic latitude: 53,3665 N, Geographic longitude: 13,8030 E,Type: FMA 86. In 2015, data have been collected for: relative humidity (%); air temperature, 20cm above ground (°C); air temperature, 2m above ground (°C); precipitation (mm); wind velocity (m/s). Data are saved by the logger of the station and are automatically transferred onto a PC which uses the Software MeteoWare Pro 1.02.
Verch, Gernot (2017): Weather Data 2015, Dedelow, Germany, Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e.V.[doi: 10.4228/ZALF.2015.332]
HostingInstitution:  Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg (Germany)
DataManager: Research Information Systems, Leibniz Centre for Agricultural Landscape Research (ZALF)
RegistrationAgency: German National Library of Science and Technology - TIB
DataCollector: Research Station Dedelow, Leibniz Centre for Agricultural Landscape Research (ZALF)

Continues: 10.4228/ZALF.2014.320

 

Weather Data 2015, Muencheberg, Germany10.4228/ZALF.2015.330MünchebergMüncheberggo to DataCiteView Sample DataDownload Complete DatasetCreative Commons BY 4.0

Sowa, Dieter

The automatic weather station Müncheberg was installed in 1991 by the Leibniz Centre for Agricultural Landscape Research (ZALF) e.V. and is managed by the Institute of Landscape System Analysis. The station is located within the municipality Müncheberg, district Märkisch-Oderland, state Brandenburg, Germany. Altitude in meter: 62 NN, Geographic latitude: 52,517681 N, Geographic longitude: 14,123200 E,Type: FMA 86. In 2001, the station was replaced by a new system of the same type. In 2015, data have been collected for: soil temperatur in 20cm depth (°C); soil temperatur in 5cm depth (°C); soil temperatur in 50cm depth (°C); soil temperatur in 10cm depth (°C); soil temperatur in 100cm depth (°C); global radiation (J/cm²); relative humidity (%); air temperature, 2m above ground (°C); precipitation (mm); wind velocity (m/s); evaporation (mm)
Sowa, Dieter (2017): Weather Data 2015, Muencheberg, Germany, Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e.V.[doi: 10.4228/ZALF.2015.330]

​HostingInstitution: Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg (Germany)
RegistrationAgency: German National Library of Science and Technology - TIB
DataCollector: Institute of Landscape Systems Analysis (LSA), Leibniz Centre for Agricultural Landscape Research (ZALF)

Continues: 10.4228/ZALF.2017.321

 

Weather Data 2016, Muencheberg, Germany10.4228/ZALF.2016.331MünchebergMüncheberggo to DataCiteView Sample DataDownload Complete DatasetCreative Commons BY 4.0

Sowa, Dieter

The automatic weather station Müncheberg was installed in 1991 by the Leibniz Centre for Agricultural Landscape Research (ZALF) e.V. and is managed by the Institute of Landscape System Analysis. The station is located within the municipality Müncheberg, district Märkisch-Oderland, state Brandenburg, Germany. Altitude in meter: 62 NN, Geographic latitude: 52,517681 N, Geographic longitude: 14,123200 E,Type: FMA 86. In 2001, the station was replaced by a new system of the same type. In 2016, data have been collected for: soil temperatur in 20cm depth (°C); soil temperatur in 5cm depth (°C); soil temperatur in 50cm depth (°C); soil temperatur in 10cm depth (°C); soil temperatur in 100cm depth (°C); global radiation (J/cm²); relative humidity (%); air temperature, 2m above ground (°C); precipitation (mm); wind velocity (m/s); evaporation (mm)
Sowa, Dieter (2017): Weather Data 2016, Muencheberg, Germany, Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e.V.[doi: 10.4228/ZALF.2016.331]

​HostingInstitution: Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg (Germany)
RegistrationAgency: German National Library of Science and Technology - TIB
DataCollector: Institute of Landscape Systems Analysis (LSA), Leibniz Centre for Agricultural Landscape Research (ZALF)

Continues: 10.4228/ZALF.2015.330

 

Land-use and hydroperiod affect kettle hole sediment carbon and nitrogen biogeochemistry10.4228/ZALF.2013.341DedelowAgroscapelab QuillowGo to DataCiteView sample dataDownload complete datasetCreative Commons Attribution-NonCommercial 4.0

Nitzsche, Kai; Kalettka, Thomas; Premke, Katrin; Lischeid, Gunnar; Gessler, Arthur; Kayler, Zachary Eric

The data set contains carbon and nitrogen stable isotope data as well as carbon and nitrogen concentrations of sediments of different depths from 51 kettle holes of different land-use from the Quillow catchment, NE Germany, sampled in July and August 2013. Furthermore, the data set contains oxygen and hydrogen stable isotope data from kettle hole water sampled from different seasons (growing vs. dormant season) over three years. For one sampling time, water chemistry data (cations, anions, in-situ parameters) are available
Nitzsche, Kai; Kalettka, Thomas; Premke, Katrin; Lischeid, Gunnar; Gessler, Arthur; Kayler, Zachary Eric (2017): Land-use and hydroperiod affect kettle hole sediment carbon and nitrogen biogeochemistry, Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg (Germany) [doi: 10.4228/ZALF.2013.341]
HostingInstitution: Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg (Germany)
RegistrationAgency: German National Library of Science and Technology - TIB
DataCollector: Institute of Landscape Biogeochemistry, Leibniz Centre for Agricultural Landscape Research (ZALF)
ContactPerson: Nitzsche, Kai
 
R scripts for the detection of dominant changes in irregularly sampled multivariate water quality10.4228/ZALF.2017.340QuillowAgroScapeLab QuillowGo to DataCiteView sample dataDownload complete datasetCreative Commons Attribution-NonCommercial 4.0

​Lehr, Christian; Kalettka, Thomas; Merz, Christoph; Steidl, Jörg

The data set provides R-scripts for the detection of dominant changes in multivariate water quality, referenced by the publication XXXXXXXXXXXXXXXXXXXXX. To run the R-scripts rightaway, test data sets are provided as well, containing data from the following sources: http://dx.doi.org/10.4228/ZALF.1998.265http://dx.doi.org/10.4228/ZALF.2000.266The script output files are given as pdf´s and tables.
Lehr, Christian; Kalettka, Thomas; Merz, Christoph; Steidl, Jörg (2017): R scripts for the detection of dominant changes in multivariate water quality, Leibniz Centre for Agricultural Landscape Research (ZALF) e.V.[doi: 10.4228/ZALF.2017.340]

​HostingInstitution: Leibniz Centre for Agricultural Landscape Research, Müncheberg (Germany)
RegistrationAgency: German National Library of Science and Technology - TIB
DataCollector: Institute of Landscape Hydrology, Leibniz Centre for Agricultural Landscape Research (ZALF)
ContactPerson: Lehr, Christian

 
Combining a root exclusion technique with continuous chamber and porous tube measurements for a pin-point separation of ecosystem respiration in croplands10.4228/ZALF.2017.336DedelowShow on mapGo to DataCiteView sample dataDownload complete datasetCreative Commons Attribution-NonCommercial 4.0

​Hoffmann, Mathias; Wirth, Stephan; Beßler, Holger; Engels, Christof; Jochheim, Hubert; Sommer, Michael; Augustin, Jürgen

To better assess ecosystem C budgets of croplands and understand their potential response to climate and management changes, detailed information on the mechanisms and environmental controls driving the individual C flux components are needed. This accounts in particular for the ecosystem respiration (Reco) and its components, the autotrophic (Ra) and heterotrophic respiration (Rh), which vary tremendously in time and space. This dataset presents results of a study, which uses a combination of a root exclusion experimental design and continous automatic chamber and below soil porous tube measurements to derive the Reco flux components. Measurements were carried out for winter wheat (Triticum aestivum L.) during the crop season 2015 at an experimental plot located in the hummocky ground moraine landscape of NE Germany.
Hoffmann, Mathias; Wirth, Stephan; Beßler, Holger; Engels, Christof; Jochheim, Hubert; Sommer, Michael; Augustin, Jürgen (2017): Combining a root exclusion technique with continuous chamber and porous tube measurements for a pin-point separation of ecosystem respiration in croplands, Leibniz Centre for Agricultural LAndscape Research (ZALF) e.V.[doi: 10.4228/ZALF.2017.336]

​HostingInstitution: Leibniz Centre for Agricultural Landscape Research, Müncheberg (Germany)
RegistrationAgency: German National Library of Science and Technology - TIB
DataCollector: Institute of Landscape Biogeochemistry, Leibniz for Agricultural Landscape Research (ZALF)
DataCollector: Institute of Soil Landscape Research, Leibniz for Agricultural Landscape Research (ZALF))
Funder: Leibniz Centre for Agricultural Landscape Research, Müncheberg (Germany)

 
A standardized conceptual and practical approach to automatically model ecosystem CO2 fluxes based on periodic closed chamber measurements10.4228/ZALF.2011.339PaulinenaueShow on mapGo to DataCiteView sample dataDownload complete datasetCreative Commons BY 4.0

​Hoffmann, Mathias
Jurisch, Nicole
Albiac Borraz, Elisa
Augustin, Jürgen

Closed chamber measurements are widely used for determining the CO2 exchange of different ecosystems. Among the chamber design and operational handling, the data processing procedure is a considerable source of uncertainty of obtained results. We developed a standardized automatic dataprocessing algorithm, based on the statistical computing environment R, which  (i) calculates CO2 fluxes measured by closed chmabers, (ii) parameterizes temperature (Reco) and PAR (GPP) dependency models, (iii) optionally computes an adaptive temperature model, (iv) models Reco, GPP and NEE, and (v) evaluates model uncertainty. The dataset contains the developed R-script and the used test data, originating from measurments (2010-2012) at a cultivated fen situated in the northeast of Germany. 
Hoffmann, Mathias; Jurisch, Nicole; Albiac Borraz, Elisa; Augustin, Jürgen (2017): A standardized conceptual and practical approach to automatically model ecosystem CO2 fluxes based on periodic closed chamber measurements, Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e.V.[doi: 10.4228/ZALF.2011.339]

​DataCollector: Institute of Landscape Biogeochemistry, Leibniz Centre for Agricultural Landscape Research (ZALF)
ContactPerson: Hoffmann, Mathias
HostingInstitution: Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg (Germany)

The water retention of drained and cultivated fen soils in Germany10.4228/ZALF.2017.355GermanyNo locationGo to DataCiteView sample dataDownload complete datasetCreative Commons Attribution-NonCommercial 4.0

​Wallor, Evelyn; Roßkopf, Niko; Zeitz, Jutta

The data set contains the results of water retention measurements in drained and cultivated fen soils all over Germany. The data set is considered as supplementary material according to the publication Wallor et al. (2017): Hydraulic properties of drained and cultivated fen soils Part I: Horizon-based evaluation of van Genuchten parameters considering the state of moorsh-forming process. Geoderma.
Wallor, Evelyn; Roßkopf, Niko; Zeitz, Jutta (2017): The water retention of drained and cultivated fen soils in Germany, Leibniz Centre for Agricultural Landscape Research (ZALF) e.V.[doi: 10.4228/ZALF.2017.355]

​HostingInstitution: Leibniz Centre for Agricultural Landscape Research, Müncheberg (Germany)
RegistrationAgency: DataCite
DataCollector: Humboldt University Berlin
ContactPerson Wallor, Evelyn

 
A black alder plantation improves the greenhouse gas balance of a degraded moist peat grassland10.4228/ZALF.2012.329GermanyKleiner LandgrabenGo to DataCiteView sample dataDownload complete datasetCreative Commons Attribution-NonCommercial 4.0

​Bereswill, Sahra; Hoffmann, Mathias; Huth, Vytas; Popova, Yulia; Zak, Dominik; Augustin, Jürgen

The dataset contains information about a two-year study (August 2010 – August 2012), regarding the effect of a newly established black alder plantation on the net GHG balance of a degraded fen in northeastern Germany. In detail, an black alder plantation (Awet) is compared with an extensively used meadow (Mwet) both characterized by very moist soil conditions and a drier reference meadow (Mmoist) characterized by moderately moist soil conditions. CO2 , CH4 and N2O fluxes were measured monthly to bimonthly with the manual closed chamber method. Fluxes were calculated using a modular R script and gap filled to obtain continuous daily fluxes.
Bereswill, Sahra; Hoffmann, Mathias; Huth, Vytas; Popova, Yulia; Zak, Dominik; Augustin, Jürgen (2017): A black alder plantation improves the greenhouse gas balance of a degraded moist peat grassland, Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e.V.[doi: 10.4228/ZALF.2012.329]

​HostingInstitution: Leibniz Centre for Agricultural Landscape Research, Müncheberg (Germany)
RegistrationAgency: German National Library of Science and Technology - TIB
DataCollector: Institute of Landscape Biogeochemistry, Leibniz for Agricultural Landscape Research (ZALF)
DataCollector: Institute of Soil Landscape Research, Leibniz for Agricultural Landscape Research (ZALF)

 
Maize C-dynamics are driven by soil erosion state and plant phenology rather than N-fertilization form10.4228/ZALF.2011.325DedelowDedelowGo to DataCiteView sample dataDownload complete datasetCreative Commons Attribution-NonCommercial 4.0

​Pohl, Madlen; Hoffmann, Mathias; Jurisch, Nicole; Prescher, Anne-Katrin; Mendez Campa, Estefania; Hagemann, Ulrike; Remus, Rainer; Verch, Gernot; Sommer, Michael; Augustin, Jürgen

The dataset contains information about dynamic and seasonal net ecosystem carbon balances (NECB) for maize for the growing season 2011, measured at five sites at the “CarboZALF-D” experimental field. Measurement sites differ regarding soil type (non-eroded Albic Luvisols, extremely eroded Calcaric Regosol and depositional Endogleyic Colluvic Regosol,) and N fertilization form (100% mineral fertilizer, 50% mineral and 50% organic fertilizer, 100% organic fertilizer). Fertilization treatments were established on the Albic Luvisol. Net ecosystem CO2 exchange (NEE) and ecosystem respiration (Reco) were measured every four weeks using a dynamic flow-through non-steady-state closed manual chamber system. Gap filling was performed based on empirical temperature and PAR dependency functions, used to derive daily NEE values. In parallel, daily above-ground biomass production (NPPshoot) was estimated using a sigmoidal growth function, based on periodic biomass sampling. Finally, NECB dynamics (as a proxy for soil C dynamics) were calculated as the balance of daily NEE and NPPshoot under consideration of the initial C input due to fertilization.
Pohl, Madlen; Hoffmann, Mathias; Jurisch, Nicole; Prescher, Anne-Katrin; Mendez Campa, Estefania; Hagemann, Ulrike; Remus, Rainer; Verch, Gernot; Sommer, Michael; Augustin, Jürgen (2017): Maize C-dynamics are driven by soil erosion state and plant phenology rather than N-fertilization form, Leibniz Centre for Agricultural Landscape Research(ZALF)[doi: 10.4228/ZALF.2011.325]

​HostingInstitution: Leibniz Centre for Agricultural Landscape Research, Müncheberg (Germany)
RegistrationAgency: German National Library of Science and Technology - TIB
DataCollector: Institute of Landscape Biogeochemistry, Leibniz Centre for Agricultural Landscape Research (ZALF)
DataCollector: Institute of Soil Landscape Research, Leibniz Centre for Agricultural Landscape Research (ZALF)
Funder: German Federal Ministry of Food and Agriculture (BMEL; 22021008; 08NR210); Leibniz Centre for Agricultural Landscape Research, Müncheberg (Germany); Fachagentur Nachwachsende Rohstoffe e.V. (FNR; 22021008; 08NR210)

 
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