{"collections": [{"id": "metadata:main", "type": "catalog", "title": "Soilwise HE - Data & knowledge repository", "description": "SoilWise will provide an integrated and actionable access point to scattered and heterogeneous soil data and knowledge in Europe, making them FAIR (Findable, Accessible, Interoperable and Reusable) and improve trust, willingness, and ability to share and re-use soil data and knowledge. In three project development cycles, co-creation and co-validation by multi-stakeholder groups are the centre of project activities. SoilWise recognises existing workflows and repositories for specific user needs and aims to work with them to enhance their discoverability, approachability and interconnection. An open, modular, scalable and extensible knowledge and data repository building on existing and new technologies will be provided while respecting data ownership, access policies and privacy. AI- and ML- techniques will be employed to interlink scattered data and knowledge, automatise the processes, infer new knowledge and increase FAIRness. SoilWise applies infrastructure thinking instead of project thinking to design a repository for at least a decade to support EUSO evolvement accordingly. This is an early prototype of the repository, deployed with the goal to generate feedback to improve the software and content in upcoming iterations.", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items", "hreflang": "en-US"}]}, {"id": "3b08f0fc-f209-425f-86e1-f106f29f4ee6", "type": "catalog", "title": "Dataset of winter wheat yields in Germany between 1958 and 2015 from N-fertilization experiments - TRIAL_SITES", "description": "This data set (TRIAL_SITES) is the starting point of a larger data set that contains data and information used in the study \u201cYield development of German winter wheat between 1958 and 2015\u201d in the Project \u201cData-Meta Analysis to assess the productivity development of cultivated plants\u201d funded by the DFG. This starting table contains geographical and environmental information about the experimental sites at which the N-fertilisation experiments were conducted. Amon other topics, this data set can be mainly  used to analyse the impact of climatic changes on the development of winter wheat in Germany.\n\nThe data set comprises following data:\n- Winter wheat (Triticum aestivum) yields and nitrogen application amounts from nitrogen fertilization experiments of variable duration (1-6 years) carried out at 43 locations across Germany, between 1958 and 2015, and found in 34 different sources in the literature.\n- The derived maximum yields (Ymax) and optimal nitrogen amounts (Nopt) from the nitrogen experiments, function coefficients, and statistics.\n- Geographical information (latitude, longitude, altitude) and other site specific information of the experimental sites (soil type, soil yield potential, mean annual temperature, mean annual precipitation, mean annual climatic water balance, soil climate region, cultivation region).\n- Processed phenological and climatic data for each experimental site.", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/3b08f0fc-f209-425f-86e1-f106f29f4ee6", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/3b08f0fc-f209-425f-86e1-f106f29f4ee6", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/3b08f0fc-f209-425f-86e1-f106f29f4ee6/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/3b08f0fc-f209-425f-86e1-f106f29f4ee6/items", "hreflang": "en-US"}]}, {"id": "21ca14b0-e57a-4622-90ad-98023569c6e6", "type": "catalog", "title": "Cmic, Nmic, bacteria and archaeal abundance in topsoil samples in a 12-months field trial in D\u00fcrnast, Freising in 2022/2023. - Codes", "description": "In cropping systems, when winter cereals follow N-rich crops like oilseed rape the risk of N losses in autumn is high. To reduce the N losses in these cropping systems, implementation of high carbon amendments (HCA) is used. In this study, we investigate potential shifts in microbial abundance and community composition though HCA implementation in a 12- months field trail in an oilseed rape \u2013 winter wheat cropping system. We postulate that (i) bacterial and archaeal absolute abundance increase in HCA implemented plots. And we expected (ii) that changes in nutrient stoichiometry caused by the HCA implementation promotes the establishment of bacteria able to degrade complex C sources, such as Firmicutes and Acidobacteria and overall cause shifts in the microbial community composition to an increased number of taxa which are described with a copiotrophic lifestyle. A field-experiment in D\u00fcrnast (Germany) with a silty-loam soil was performed. Wheat straw was incorporated directly after harvest of oilseed rape in August 2022 and soil samples were collected from 0-10 cm after 6 (February 2023), 9 (May 2023), 11 (July 2023) and 12 (August 2023) months after implementation. We determined microbial carbon and microbial nitrogen contents by executing chloroform-fumigation and afterwards extracting the soil with 0.01 M CaCl2 solution. The copy numbers of the bacterial 16S rRNA gene and archaeal 16S rRNA gene by quantitative real-time PCR (qPCR) was quantified. Subsequently, 16S amplicon sequencing was performed for all samples and raw sequencing data is available at the sequencing read archive (SRA) under the BioProject ID PRJNA1128396 (SAMN42050636, SAMN42051589, SAMN42107788, SAMN42108963). Information of sequencing data is summarized in the excel file \u201csequencing Inplamint\u201d. Our data indicate a slightly increase in microbial abundance as well as in microbial carbon in HCA treatment. This increase was not observed for microbial nitrogen. Our data also suggests a stronger influence of microbial community composition though HCA implementation in late winter/ early based on the results of the differential abundance analysis. Furthermore, microbial community in HCA treatment was driven in all four sampling points by the bacterial families Chitinophagaceae and BIrii41 (phylum Myxococcota) and the bacterial genera Pirellula. Data on Codes\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/21ca14b0-e57a-4622-90ad-98023569c6e6", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/21ca14b0-e57a-4622-90ad-98023569c6e6", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/21ca14b0-e57a-4622-90ad-98023569c6e6/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/21ca14b0-e57a-4622-90ad-98023569c6e6/items", "hreflang": "en-US"}]}, {"id": "175f7d25-ca2e-4166-b569-03789a3658c6", "type": "catalog", "title": "3D soil parameter space of the agricultural landscape [Germany, Version 1] (Part 1 of data collection, table SFT version1.zip)", "description": "Societal demands on soil functionality in agricultural soil-landscapes are confronted with yield losses and environmental impact. Soil functional information at national scale is required to address these challenges. Following the rationale that similarity in soils is reflected by similarity in landscape characteristics, soil functional types (SFTs) were defined and projected into space by machine learning. Each SFT is described by a multivariate soil parameter distribution along its depth profile. The agglomerated simplicity of the 3D multivariate soil parameter space into a limited number of spatially allocated process units provides the basis to run agricultural process models at national scale (Germany). \nThe data product refers to the parameter space until a depth of 1 m. It has a 100 m raster resolution in the 2D mapping space, and its resolution along the depth profile is 1 cm. It includes the soil properties: horizon occurrence probability of the organic horizon (symbol_H), the horizon with stagnic properties (symbol_S), groundwater influence (symbol G), and the C horizon (symbol_C), the depth limitation by bedrock (symbol_mC) as well as the soil properties texture (sand_content,  silt_content,  clay_content), stone content, and bulk density.\nThe data product consists of three files: A nationwide raster (SFT.tif) indicating the spatial allocation of the SFTs in terms of an identifier variable, and two related tables (MSPD1.csv and MSPD2.csv) including the information of the multivariate parameter distributions of the SFTs. The tables are linked to the raster by the identifier.\nPlease cite this data product by its DOI and the following reference:\nLie\u00df M, Gebauer A, Don A (2021). Machine learning with GA optimization to model the agricultural soil-landscape of Germany: An approach involving soil functional types with their multivariate parameter distributions along the depth profile. Front. Environ. Sci. 9:692959. https://www.frontiersin.org/articles/10.3389/fenvs.2021.692959 This file contains the multivariate parameter distributions of the Soil functional types (SFTs) and the graphic.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/175f7d25-ca2e-4166-b569-03789a3658c6", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/175f7d25-ca2e-4166-b569-03789a3658c6", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/175f7d25-ca2e-4166-b569-03789a3658c6/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/175f7d25-ca2e-4166-b569-03789a3658c6/items", "hreflang": "en-US"}]}, {"id": "4d0feb39-02a1-4f98-a932-b9427526282b", "type": "catalog", "title": "Effects of agricultural management on the quantity and quality of soil organic matter in 0-100 cm -  data from ten German long-term experiments.   - Thuenen Soil3 Soil Organic Matter quantity 1", "description": "Agricultural management can influence the quantity and quality of soil organic matter (SOM), thereby contributing to carbon (C) sequestration and climate change mitigation. The depth to which agricultural management practices affect SOM is uncertain. Soil depth can have an important influence on SOM dynamics, so it is important to consider depth effects to fully account for changes, particularly in soil organic C (SOC) stocks. This is particularly true when assessing C faming measures, which are becoming increasingly important due to climate change. We sampled and analysed the top metre of mineral arable soils from ten long-term experiments (LTEs) in Germany to quantify and qualify the depth-dependent effects on SOC stocks, C and nitrogen (N) content, the \u03b413C and \u03b415N signature and the C/N ratio of the soils due to common agricultural management practices: Mineral N fertilisation (only for SOC stocks), a combination of N, phosphorus (P) and potassium (K) fertilisation, irrigation, crop rotation with legumes, straw incorporation, farmyard manure (FYM) application, liming and reduced tillage. In addition, the effects of soil compaction (only for the SOC stocks) were analysed as a negative side-effect of agricultural management. The dataset includes metadata and research data on soil properties at 0-100 cm, e.g., mean annual temperature and precipitation, C and N content, SOC stocks, water content, texture data (sand, silt, clay), pH, \u03b413C and \u03b415N values. This table contains Data on Thuenen Soil3 Soil Organic Matter quantity 1.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/4d0feb39-02a1-4f98-a932-b9427526282b", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/4d0feb39-02a1-4f98-a932-b9427526282b", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/4d0feb39-02a1-4f98-a932-b9427526282b/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/4d0feb39-02a1-4f98-a932-b9427526282b/items", "hreflang": "en-US"}]}, {"id": "4d9f666c-7022-418d-822b-3d1b9c2726e0", "type": "catalog", "title": "Basic information of three beech forest sites in Lower Saxony (GER), part of the research unit SubSOM", "description": "This dataset includes general information about the sites used in our study. Our main investigations were done in the Grinderwald research forest by conducting a litter manipulation experiment with 13C-enriched beech litter combined with DOC and CO2 monitoring from February 2015 until November 2016, and soil core sampling. The monitoring was complemented by burial of 13C-coated minerals (goethite and vermiculite) with subsequent field incubation for two years (May 2016 \u2013 May 2018) and laboratory batch sorption and desorption experiments. The latter was additionally done with soil from two beech forest sites (R\u00fcdershausen and Eberg\u00f6tzen) with varying parent material, texture, and pedogenic oxides. This dataset further serves as a parent dataset, which is connected to more detailed research data of the mentioned experiments.\n\nResearch domain: Soil Sciences\n\nResearch question: This dataset and all connected research data aim at evaluating temperate forest subsoils as potential future C-sinks.", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/4d9f666c-7022-418d-822b-3d1b9c2726e0", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/4d9f666c-7022-418d-822b-3d1b9c2726e0", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/4d9f666c-7022-418d-822b-3d1b9c2726e0/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/4d9f666c-7022-418d-822b-3d1b9c2726e0/items", "hreflang": "en-US"}]}, {"id": "5e0ffb95-6283-45f4-b1da-806d44d916bf", "type": "catalog", "title": "International long-term experiment (LTE) 'Organic and Mineral Nitrogen Fertilization Experiment' (IOSDV) - Table 'PARZELLE'", "description": "The long-term experiment (LTE) \"International Organic Nitrogen Fertilisation Trial\" (IOSDV) Rauischholzhausen (University Gie\u00dfen) was set up in 1984 as part of an internationalseries of trials which were started simultaneously at about 15 locations in several European countries. The initiator of this series of trials was Eduard von Boguslawski, who also foundedthe international working group \"IOSDV\". The LTE \"IOSDV\" in Rauischholzhausen was later continued and managed by Bernd Honermeier (1996 - 2021).\n\nThe original idea of this LTE was to compare three farming systems (farm types), (1) system without organic fertilisation (simulating a cash crop farm), (2) system with organic fertilisation from livestock (farmyard manure, simulating a farm with livestock) and (3) system with organic fertilisation from plant residues (straw, catch crops and digestate from a biogas plant). In these arable farming systems, the classic cash crops sugar beet (since 2010 silage maize), winter wheat and winter barley are grown in a crop rotation (one after the other in time) and at the same time also next to each other every year. Due to the central importance of nitrogen as a plant nutrient, mineral N fertilisation was included as a test factor and combined with all other test factors in four different dosages so that possible interactions could be investigated. Since the LTE was set up at several locations, the influence of site and climatic conditions on soil properties and plant yields as a function of organic and mineral N fertilisation can also be investigated. \n\nThe trial was extended in 1997 by a variant with \"compost fertilisation\"  (without and with certified compost), with the same crop rotation and mineral N fertilisation.\n\nLand Use Type: Field crops\nResearch Theme: Fertilization\nLTE Category: Fertilization\nFarming Category: Conventional\n\nResearch Parameter: \n-Plant: total biomass yield, grain yield, harvest index\n-Soil: Ct, Corg, Nt, nitrate N\n\nFactors:\n- Factor A: Crops (sugar beet/maize, winter wheat, winter barley)\n- Factor B: N-fertilization (5 levels)\n- Factor C: Organic fertilization (3 levels)\n\nResearch question: The trial aims to clarify the long-term effects of different organic fertilisation (manure from livestock compared to organic matter from plants) on soil properties  (Ct/Corg, Nt, Nmin) and on biomass yields of maize, winter wheat and winter barley. It should also be clarified whether there is an interaction between organic fertilisation and mineral N fertilisation as well as between fertilisation and site conditions regarding soil parameters and plant yields and whether these factors thus influence each other.\n\n\nRelated datasets are listed under Related Identifier. \n\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/5e0ffb95-6283-45f4-b1da-806d44d916bf", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/5e0ffb95-6283-45f4-b1da-806d44d916bf", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/5e0ffb95-6283-45f4-b1da-806d44d916bf/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/5e0ffb95-6283-45f4-b1da-806d44d916bf/items", "hreflang": "en-US"}]}, {"id": "09adf1ad-a388-40e0-a61f-ba30d300cef9", "type": "catalog", "title": "Tree species composition of a landscape in north-eastern Germany in 1780, 1890 and 2010", "description": "This data set contains information about main tree species in 1780 and 1890 derived from different sources. Geodata base is the hand drawn Schmettau Map (1:50.000, ca. 1780) and the Prussian Land Survey (scale 1:25.000, ca. 1890). Additional information from other sources where aligned and added. In total about 200 maps and the same number of archival documents where checked for reconstruction of spatial explicit tree species localities.  This table contains the index of all tables forming this data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/09adf1ad-a388-40e0-a61f-ba30d300cef9", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/09adf1ad-a388-40e0-a61f-ba30d300cef9", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/09adf1ad-a388-40e0-a61f-ba30d300cef9/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/09adf1ad-a388-40e0-a61f-ba30d300cef9/items", "hreflang": "en-US"}]}, {"id": "53d4f211-9826-40f4-9d0d-8947d92887ce", "type": "catalog", "title": "BIBS Dataset: Plant functional traits of six grassland species along an urbanization gradient in Berlin, Germany", "description": "Plant functional traits collected in 2017 on wild populations of six grassland species along an urbanization gradient in Berlin, Germany, as part of the CityScapeLab. Three tables correspond to different measurements of the same populations, but on different unmarked individuals: (1) leaf morphological and chemical traits; (2) plant vegetative and reproductive height at maturity; (3) seed mass. Sample size varies from 8 to 20 populations (mean 13.5) depending on species and traits. This table contains the index of all tables forming this data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/53d4f211-9826-40f4-9d0d-8947d92887ce", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/53d4f211-9826-40f4-9d0d-8947d92887ce", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/53d4f211-9826-40f4-9d0d-8947d92887ce/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/53d4f211-9826-40f4-9d0d-8947d92887ce/items", "hreflang": "en-US"}]}, {"id": "17fc7de7-933d-4eae-a096-ec91fb4fa184", "type": "catalog", "title": "Cover Crop Derived Microbial Biomass N", "description": "Winter cover crop mixtures were exposed to 15N labeling via leaf feeding with 15NO3 and 15NH4 in autumn and spring. Microbial biomass N was determined by extraction with 0.05 M K2SO4 and chloroform fumigation. The 15N enrichment in the microbial biomass N of cover crop root channels and bulk soil was measured on samples taken six weeks after the spring labeling.  This table contains the index of all tables forming this data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/17fc7de7-933d-4eae-a096-ec91fb4fa184", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/17fc7de7-933d-4eae-a096-ec91fb4fa184", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/17fc7de7-933d-4eae-a096-ec91fb4fa184/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/17fc7de7-933d-4eae-a096-ec91fb4fa184/items", "hreflang": "en-US"}]}, {"id": "25ed4406-2079-410a-8f80-ff568c60ad03", "type": "catalog", "title": "PatchCROP Geodata", "description": "The  patchCROP  project  is  an  experimental  approach  to  \ndesign  multifunctional  and  sustainable  cropping  systems  \nof the future.\nIt has been designed as a living lab to serve as a platform \nfor the investigation of abiotic and biotic effects and inter-\nactions  in  newly  created  small-structured  field  units  and, \nin particular, site-specific crop rotations and management \npractices adapted to the heterogeneity of the area.\nThis dataset contains the patch geometries and forms a data collection together with point information on soil sensorsand weather stations.\nRelated datasets are listed in the metadata element 'Related Identifier'. Dataset version 1.4", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/25ed4406-2079-410a-8f80-ff568c60ad03", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/25ed4406-2079-410a-8f80-ff568c60ad03", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/25ed4406-2079-410a-8f80-ff568c60ad03/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/25ed4406-2079-410a-8f80-ff568c60ad03/items", "hreflang": "en-US"}]}, {"id": "3c0aaeae-4b91-4339-a91c-def691615d75", "type": "catalog", "title": "Taxonomic abundance of bacteria and different functional metabolic pathways in bulk soil and maize rhizosphere at Hohenschulen field site in the first trial year of Rhizo4Bio \u2013 RootWayS project.", "description": "In the winter half-year 2020/2021, winter cover crops were grown in 10 trial variants at the Hohenschulen trial site. The soils at the trial site are mainly stagnic Luvisols derived from glacial till. The variants were arranged in a randomized block design with four replications. In spring 2021, maize was planted on the site, and the soil of all plots was sampled in different depths at different growth stages of the maize. Soil samples were taken selectively from cover crop root channels and maize rhizosphere and analyzed for taxonomic abundance of bacteria and different functional metabolic pathways in the soil microbiome. This table contains the index of all tables forming this data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/3c0aaeae-4b91-4339-a91c-def691615d75", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/3c0aaeae-4b91-4339-a91c-def691615d75", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/3c0aaeae-4b91-4339-a91c-def691615d75/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/3c0aaeae-4b91-4339-a91c-def691615d75/items", "hreflang": "en-US"}]}, {"id": "5f100775-eac0-4596-b90e-1cb4d2847410", "type": "catalog", "title": "How does the root architecture of wheat influence the microbial community and activity in soil?  - \u03b2-Glucosidase gradient from the root center towards the surrounding soil.", "description": "The data set includes the enzyme gradient of \u03b2-Glucosidase from the root center towards the surrounding soil at different sampling times, soil depths, and spring wheat genotypes. Enzyme data was collected using the soil zymography according to Spohn et al. (2013). The spring wheat genotypes used (Rambla et al., 2022) form different root architectures (UQR012 = shallow root system, UQR015 = deep root system). Plants were grown in columns under controlled environmental conditions in a climate chamber and sampled at four sampling dates (4, 5, 6, and 7 weeks after sowing). Zymography was performed on the surface of soil segments at two soil depths (4.5 cm and 31.5 cm). The soil used originated from the upper 30 cm of an agricultural Haplic Luvisol near Selhausen (Germany). Data of \u03b2-Glucosidase gradient from the root center towards the surrounding soil.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/5f100775-eac0-4596-b90e-1cb4d2847410", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/5f100775-eac0-4596-b90e-1cb4d2847410", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/5f100775-eac0-4596-b90e-1cb4d2847410/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/5f100775-eac0-4596-b90e-1cb4d2847410/items", "hreflang": "en-US"}]}, {"id": "4105a02b-78e9-4e52-8009-ee07e42837f9", "type": "catalog", "title": "Long-term effects of different tillage treatments with and without compost application on soil hydraulic properties under organic farming on a loess soil in Hesse, Germany", "description": "The dataset presents the results of measurements related to the water retention curve, saturated hydraulic conductivity, and aggregate stability of samples collected in 2020 from a long-term trial located in Neu-Eichenberg (51\u00b022\u2032 N; 9\u00b054\u2032 E) at the research station of the University of Kassel, Hesse, Germany. The experiment has been managed organically since 1988. The study investigated the effects of plowing versus reduced tillage with and without compost after 10 years of treatment application. This table contains the Index of the data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/4105a02b-78e9-4e52-8009-ee07e42837f9", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/4105a02b-78e9-4e52-8009-ee07e42837f9", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/4105a02b-78e9-4e52-8009-ee07e42837f9/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/4105a02b-78e9-4e52-8009-ee07e42837f9/items", "hreflang": "en-US"}]}, {"id": "179dfc81-d445-4984-b683-aa88f42efca5", "type": "catalog", "title": "Earthworm Biodiversity Data Lietzen I", "description": "Earthworms (Lumbricidae) are prime indicators of soil fertility and soil health. Their abundance and diversity is affected by soil properties as well as management. In the On-Farm Tillage Experiment Lietzen, Landkreis M\u00e4rkisch-Oderland, since 1996, two different soil tillage practices, conventional inverting tillage, and reduced non-inverting tillage, are applied to two formerly conventionally tilled halves of a 73 ha field of the Komturei Lietzen. Under each treatment, 21 permanent plots were installed, allowing to analyse the response of different soils, induced by landscape position, to the tillage treatments. The data set describes the abundance and species composition of earthworms, assessed by means of handsorting, between 1997 and 2007 at all plots. In addition, selected soil properties (content clay, cation-exchange capacity) are reported. This table contains the index of all tables forming this data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/179dfc81-d445-4984-b683-aa88f42efca5", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/179dfc81-d445-4984-b683-aa88f42efca5", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/179dfc81-d445-4984-b683-aa88f42efca5/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/179dfc81-d445-4984-b683-aa88f42efca5/items", "hreflang": "en-US"}]}, {"id": "24fbee37-367c-4dfe-97d6-77325cdaa1b2", "type": "catalog", "title": "Experiment data to test the simple water vapor sampling for stable isotope analysis using affordable valves and bags", "description": "Presentation and explanation of the experiments for simple water vapor sampling for stable isotope analysis using affordable valves and bags \n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/24fbee37-367c-4dfe-97d6-77325cdaa1b2", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/24fbee37-367c-4dfe-97d6-77325cdaa1b2", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/24fbee37-367c-4dfe-97d6-77325cdaa1b2/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/24fbee37-367c-4dfe-97d6-77325cdaa1b2/items", "hreflang": "en-US"}]}, {"id": "26f9f1fc-b83a-4184-a113-0ba70681ee54", "type": "catalog", "title": "BIBS Data set: Urban grassland aphid diversity in Berlin, Germany", "description": "Survey of urban aphid biodiversity carried out in 2017 and partially repeated in 2018 along an urbanization gradient in Berlin, Germany. Surveys took place along diagonal transects in 20 quadrats (4x4m) of dry grasslands from the Cityscapelabs. In 2017, aphid abundances were recorded for aphids on Asteraceae host plants, along with Asteraceae species cover and ant presence. Aphid species present on other type of plant hosts were also noted. In 2018, almost the same subset of quadrats were surveyed, noting only aphid presence on each host plant. This table contains the index of all tables forming this data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/26f9f1fc-b83a-4184-a113-0ba70681ee54", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/26f9f1fc-b83a-4184-a113-0ba70681ee54", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/26f9f1fc-b83a-4184-a113-0ba70681ee54/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/26f9f1fc-b83a-4184-a113-0ba70681ee54/items", "hreflang": "en-US"}]}, {"id": "158fb92b-70b4-4dbf-9176-2ce4de69afc6", "type": "catalog", "title": "Bacterial and archaeal abundance in top and subsoil samples in a field trail with mechanical strip-wise subsoil loosening and addition of biocompost  - Codes", "description": "In German agricultural system, more than 50% of nutrient and water stocks are in the subsoil, but in more than 71% of agricultural fields, supplies are not accessible for the plants based on root-restricting soil layers. To allow the crops an easier access to deep soil layers a mechanical strip-wise subsoil loosing with the addition of biocompost (DLB treatment) was established in frame of Soil3 project (for further details: Schmittmann et al. 2021). In this study, the influence of subsoil management on microbial community composition was investigated 2020 in a field trail in Klein-Altendorf (Bonn), using the three different winter wheat genotypes Milaneco, Capo and Trebelir. Thereby, exhibit the genotypes Milaneco and Capo a more deep-rooting and the genotype Trebelir a shallower rooting system. We postulate, that (i) the absolute abundance of bacteria and archaea will be increased in DLB treatment plots. And we expected that (ii) that DLB treatment will create a shift in microbial community composition, especially in the subsoil layers. Soil and roots samples were taken from 0-30, 30-60 and 60-100 cm in June 2020, at flowering time of winter wheat, in three biological replicates. The soil type was classified as Haplic Luvisol (Hypereutric, Siltic) and is characterized by a silty clay loam texture with clay accumulation in the subsoil (between 45 and 95 cm soil depth). The copy numbers of the bacterial 16S rRNA gene and archaeal 16S rRNA gene was quantified by quantitative real-time PCR (qPCR). Subsequently, 16S amplicon sequencing was performed for all bulk soil and root samples and raw sequencing data is available at the sequencing read archive (SRA) under the BioProject PRJNA1129315 (SAMN42150195, SAMN42152877).  Our data indicate a slightly increase in bacteria in soil samples among all genotypes and soil depths, this trend is not so evident for abundance of archaea in soil samples. For root samples an increase in bacterial and archaeal abundance was only observed for the genotype Capo, especially for the depths 0-30 and 30-60 cm. Alpha diversity was increased in the deep-rooting genotypes in root samples. In soil samples only for the genotype Milaneco a strong increase in alpha diversity was observed, especially in the samples from 30-60 cm.  Furthermore, beta diversity for soil and root samples was only influenced by the different sampling depths but not by the genotype or the treatment. In addition, the shared ASVs representing the core microbiome, in soil and root samples, contain more shared ASVs between the genotypes per each depth in DLB treatment in comparison to control plots.  Codes of Soil3 genotypes\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/158fb92b-70b4-4dbf-9176-2ce4de69afc6", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/158fb92b-70b4-4dbf-9176-2ce4de69afc6", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/158fb92b-70b4-4dbf-9176-2ce4de69afc6/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/158fb92b-70b4-4dbf-9176-2ce4de69afc6/items", "hreflang": "en-US"}]}, {"id": "520f1867-5721-4083-9cc5-da541d3501e0", "type": "catalog", "title": "Chemical and physical soil properties at Hohenschulen field site in the first trial year of Rhizo4Bio \u2013 RootWayS project.", "description": "In the winter half-year 2020/2021, winter cover crops were grown in 10 trial variants at the Hohenschulen trial site. The soils at the trial site are mainly stagnic Luvisols derived from glacial till. The variants were arranged in a randomized block design with four replications. In spring 2021, naize was planted on the site, and the soil of all plots was sampled in different depths. pH values, grain size distribution, air and water conductivity, dry bulk density, and water retention functions were determined on the collected soil samples. This table contains the index of all tables forming this data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/520f1867-5721-4083-9cc5-da541d3501e0", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/520f1867-5721-4083-9cc5-da541d3501e0", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/520f1867-5721-4083-9cc5-da541d3501e0/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/520f1867-5721-4083-9cc5-da541d3501e0/items", "hreflang": "en-US"}]}, {"id": "4d15a82d-8833-4154-8a47-7d4f8cf34425", "type": "catalog", "title": "On-farm effects of urease and nitrification inhibitors on N and water use efficiency, soil C sequestration and climate impact", "description": "Efficient nitrogen (N) use in crops is vital for promoting sustainable and profitable agriculture and has significant implications for greenhouse gas (GHG) mitigation. While urease (UI) and nitrification inhibitors (NI) are known to influence N transformations, soil N availability, and N utilization efficiency (NUE) in ammonium sulfate urea (AS-HS), their impacts on the carbon (C) and water cycles are less well understood. To address this knowledge gap while reflecting realistic agronomic conditions, we conducted an on-farm strip trial in northeastern Germany, focusing on examining potential interactions among nitrogen (N), carbon (C), and water cycling. The trial compared non-fertilized plots with AS-HS, AS-HS+UI, and AS-HS+UI+NI treatments across a maize\u2013wheat\u2013barley rotation. Compared to AS-HS, the application of UI and UI+NI generally reduced cumulative N2O emissions up to 72 % and NH3 emissions up to 91 %, while it improved the N recovery efficiency (NRE) and the agronomical N use efficiency (ANUE). In addition, the use of inhibitors shifted the net ecosystem C balance (NECB) from source to sink. Although evapotranspiration (ET) increased slightly, the agronomical water use efficiency (aWUE) remained similar or even improved due to a higher biomass production. The same was observed for the net GHG emission which were similar for AS-HS and AS-HS+UI and slightly improved for AS-HS+UI+NI. These effects of UI and UI+NI on not only the N but also C and water cycles underscores the complex interactions among N, C, and water dynamics in agroecosystems, highlighting both the environmental impact and potential benefits of using UI and NI inhibitors. This table contains the Index of the data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/4d15a82d-8833-4154-8a47-7d4f8cf34425", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/4d15a82d-8833-4154-8a47-7d4f8cf34425", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/4d15a82d-8833-4154-8a47-7d4f8cf34425/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/4d15a82d-8833-4154-8a47-7d4f8cf34425/items", "hreflang": "en-US"}]}, {"id": "31e8fc8a-fbc5-465c-bf6d-35bdbf92459f", "type": "catalog", "title": "Similar strong impact of N fertilizer form and terrain position on N2O emission from eroded croplands (Part 1 of data colletcion, table measured_N2O_fluxes)", "description": "Soil erosion affects 20% of croplands. However, our understanding of the effect that soil erosion might have on emissions of N2O, which is one of the most potent greenhouse gases, is still limited. This limitation is likely because the small-scale differences in soil properties and fertility induced by erosion (i.e. ranges of erosion states) have barely been considered in studies quantifying N2O emissions from croplands. There are, however, indications that the erosion state itself strongly impacts N2O fluxes, similar to the N fertilizer form. Therefore, our investigations aimed to further explore these indications. The soil and erosion stages of the study area are classified as Albic Luvisols (LVa; non-eroded dry soil), Calcaric Regosol (RGca; extremely eroded dry soil) and Endogleyic Colluvic Regosols (RGco; wet colluvial soil in a depression). \n\n\nThis datasets contains data of soil data, N2O flux obtained from the measurements that were conducted from 03/05/2010 to 03/05/2013 within the hummocky ground moraine landscape of northeastern Germany (CarboZALF-D), modelled N2O flux and Nmin data. The three N fertilizer forms that were used in this study are organic fertilizer with biogas fermentation residue, mineral fertilizer with Calcium Ammonium Nitrate and a mixture of mineral and biogas fermentation residue.", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/31e8fc8a-fbc5-465c-bf6d-35bdbf92459f", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/31e8fc8a-fbc5-465c-bf6d-35bdbf92459f", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/31e8fc8a-fbc5-465c-bf6d-35bdbf92459f/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/31e8fc8a-fbc5-465c-bf6d-35bdbf92459f/items", "hreflang": "en-US"}]}, {"id": "0ba4a84a-f2d6-445f-90ba-50b6dd9ff232", "type": "catalog", "title": "Research Station M\u00fcncheberg", "description": "<p>The ZALF Focus Area \u2013 Muencheberg is situated 50km East of Berlin in the\nDistrict of Maerkisch-Oderland. It borders the Naturpark Maerkische Schweiz\n(https://nationale-naturlandschaften.de/gebiete/naturpark-maerkische-schweiz,\nhttps://www.naturschutzfonds.de/natur-erleben/landschaften/naturparkmaerkische-\nschweiz). </p>\n<p>It is a typical site of the glacial moraine landscape of the North German\nLowland approx. 62 m above sea level. The site of the experimental station is\nfrom flat to easily incline. Typical soil types are Albic and Ortic Luvisols, Cambic\nand Luvic Arenosols. The soils are far from groundwater with mean clay content\nof around 5-10% in the top soil (0-25 cm). Carbon content, natural pH and the\nbase-saturation are low. The topsoil (0-25 cm) contains around 1% humus. The\nsoil is free of lime. It tends to acidification and requires regular liming. </p>\n<p>The weather is characterised by a continental-influenced humid inland\nclimate with an average of 548 mm precipitation and 8.9\u00b0C annual temperature\n(reference period 1981-2010). Compared to the period 1951-1980, temperature\nand rainfall have increased by 0.7\u00b0C and 19 mm, respectively. An increase of\nperiods of pronounced pre-summer drought is the consequence of the\nchanging climate. </p>\n<h1>Main research tasks that are addressed in this focus area: </h1>\n<p>The current focus of the trials is research on climate-adapted and diversitypromoting\nagricultural systems through the implementation of new crops in crop\nrotations, conservation tillage and reduced use of pesticides, especially\nherbicides. The research station Muencheberg is in charge of two long-term\nfield trials, the \"M\u00fcncheberger N\u00e4hrstoffsteigerungsversuch V140/00\u201d (https:\n//doi.org/10.20387/bonares-8fhj-r52g) and the field model trial \u201cKrumenaufbau\u201d\nV210/02.\nIt manages 42 ha arable land. In addition to the classic field trials, the research\nstation supports agricultural research in the agricultural landscape such as the\nlandscape laboratory patchCrop (https://doi.org/10.4228/zalf-ztwg-fh58).</p>\nThis part contains the metadata of all tables forming this data collection.\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/0ba4a84a-f2d6-445f-90ba-50b6dd9ff232", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/0ba4a84a-f2d6-445f-90ba-50b6dd9ff232", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/0ba4a84a-f2d6-445f-90ba-50b6dd9ff232/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/0ba4a84a-f2d6-445f-90ba-50b6dd9ff232/items", "hreflang": "en-US"}]}, {"id": "217290dd-a23f-4734-96d5-71b878a2fca8", "type": "catalog", "title": "Locations of the BonaRes project SUSALPS", "description": "This dataset contains the geoinformation of the SUSALPS locations Esterberg site at 1200m, Graswang site at 860m, Fendt at 600m, Bayreuth at 300m.", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/217290dd-a23f-4734-96d5-71b878a2fca8", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/217290dd-a23f-4734-96d5-71b878a2fca8", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/217290dd-a23f-4734-96d5-71b878a2fca8/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/217290dd-a23f-4734-96d5-71b878a2fca8/items", "hreflang": "en-US"}]}, {"id": "2e6185dc-1fcd-4253-bcb7-499abf005db0", "type": "catalog", "title": "Long Term Experiment Rostock: Phosphorus fertilization strategies - Plots", "description": "\"This data set contains detailed information on the management and evaluation of the long-term field trial in Rostock. It was established in autumn 1998 at the experimental station of the University of Rostock. The experimental station is located in Northern Germany in a maritime-influenced area about 15 km south of the Baltic Sea shore (54\u00b03\u203241.47\u2033N; 12\u00b05\u20325.59\u2033E). The average annual temperature is 8.1 \u00b0C and the mean annual precipitation is about 600 mm. The soil texture is loamy sand containing 1.1% Corg and the soil type is a Stagnic Cambisol according to the World Reference Base for Soil Resources. The initial double-lactate-soluble P content (DL-P) of 42.2 mg P kg\u22121 soil indicated a suboptimal P supply according to the soil P classification of the German federal state of\nMV. The field trial was arranged as randomized split-plot design with four replications with organic fertilizers as main plots and inorganic fertilizer as subplots. The combination of organic and inorganic P supply resulted into nine fertilizer treatments as follows: control (no P), Triple_x0002_Superphosphate (TSP), TSP/biomass ash (TSP/ash), cattle manure\n(manure), biowaste compost (compost), and the combined applications\nmanure + TSP, manure + TSP/ash, compost + TSP, and compost + TSP/ash. The plot size of each fertilizer treatment was 120 m\u00b2. The field trial will continue beyond the project duration.\" Description of table 1\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/2e6185dc-1fcd-4253-bcb7-499abf005db0", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/2e6185dc-1fcd-4253-bcb7-499abf005db0", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/2e6185dc-1fcd-4253-bcb7-499abf005db0/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/2e6185dc-1fcd-4253-bcb7-499abf005db0/items", "hreflang": "en-US"}]}, {"id": "4a5e6f6c-71a9-4150-8db6-c18765242a56", "type": "catalog", "title": "A low-cost, automatic soil-plant-atmosphere enclosure system to investigate CO2 and ET flux dynamics.", "description": "Investigating greenhouse gases (GHG) and water flux dynamics within the soil-plant-atmosphere-interphase is a key for understanding ecosystem functioning, as these dynamics reflect the ecosystem\u00b4s responses to environmental changes. Understanding these responses is hence essential for developing sustainable agriculture systems that can help to adapt to global challenges such as inter-alia increased drought. Typically, an initial understanding of GHG and water flux dynamics is gained through laboratory or greenhouse pot experiments, where gas exchange is often measured using commercially available, manual closed (leaf) chamber systems. However, these systems are usually rather expensive and often labor-intensive, thus limiting the number of different treatments that can be studied and their repetitions. Here, we present a fully automatic, low-cost (1.000 Euro), multi-chamber system based on Arduino, termed \u201cgreenhouse coffins\u201d. It is designed to continuously measure canopy CO2 and ET fluxes. And it can operate in two modes: an independent and a dependent measurement mode. The independent measurement mode utilizes low-cost NDIR CO2 (K30 FR) and relative humidity (SHT31) sensors, thus making each \u201cgreenhouse coffin\u201d a fully independent measurement device. The dependent measurement mode connects multiple \u201cgreenhouse coffins\u201d via a low-cost multiplexer ( 250 Euro) to a single infrared gas analyzer (LI-850, LI-COR Inc., Lincoln, USA), allowing for measurements in series, achieving cost efficiency, while also gaining more flexibility in terms of target GHG fluxes (potential extension to N2O, CH4, stable isotopes). In both modes, CO2 and ET fluxes are determined through the respective concentration increase during closure time. We tested both modes and demonstrated that the presented system is able to deliver precise and accurate CO2 and ET flux measurements using low-cost sensors, with an emphasis on calibrating the sensors to improve measurement precision. Through connecting multiple greenhouse coffins via our low-cost Multiplexer to a single infrared gas analyzer in the dependent mode, we could show moreover that the system can efficiently measure CO2 and ET fluxes in a high temporal resolution across various treatments with both labor and cost efficiency. Therefore, the developed system offers a valuable tool for conducting greenhouse experiments, enabling comprehensive testing of plants' dynamic responses to various treatments and conditions. Related Scripts are in the Supplemental Material. This table contains the Index of the data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/4a5e6f6c-71a9-4150-8db6-c18765242a56", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/4a5e6f6c-71a9-4150-8db6-c18765242a56", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/4a5e6f6c-71a9-4150-8db6-c18765242a56/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/4a5e6f6c-71a9-4150-8db6-c18765242a56/items", "hreflang": "en-US"}]}, {"id": "38a9d966-ea14-4bbc-931e-04c59f860f0c", "type": "catalog", "title": "Productivity, costs and residual stand damage of timber harvesting methods in Scots pine stands with extended distance between skid trails", "description": "A timber harvest in a 72-years old Scots pine (Pinus sylvestris L.) forest stand was carried out under real conditions in North eastern Germany in fall 2023. The area of the stand was 23.2 ha and 692 m\u00b3 of wood was harvested during the thinning operation. Three different timber harvesting methods with extended skid trail distances of approx. 40 m (ES) were investigated and compared to a fully mechanized system with conventional skid trail distances of approx. 20 m (CS) in a time study with a total of 150 recorded hours. Moreover, the residual stand damage and the marked trees remaining on the area were recorded after the harvesting operation. The main table contains the index of the data collection, which consists of seven data sets and one video. the data about the time study are divided in the different work steps: felling and processing with harvester (\u201cTime study harvester\u201d), forwardering (\u201cTime study forwarder\u201d), motormanual felling with chainsaw (\u201cTime study chainsaw\u201d), pulling down trees that have been hanging in other trees when felled with a chainsaw (\u201cTime study chainsaw hanger\u201d) and winching with cable winch (\u201cTime study winching\u201d). The data set \u201cWood harvest damage\u201d contains the recordings of the damage caused by the different timber harvesting methods to the remaining stands. Finally, the data set \u201cremaining trees\u201d contains number, volume, distance to nearest skid trail and related timber harvesting method of the marked trees, which remained on the area. This table contains the Index of the data collection. \nRelated datasets are listed in the metadata element 'Related Identifier'. \nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/38a9d966-ea14-4bbc-931e-04c59f860f0c", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/38a9d966-ea14-4bbc-931e-04c59f860f0c", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/38a9d966-ea14-4bbc-931e-04c59f860f0c/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/38a9d966-ea14-4bbc-931e-04c59f860f0c/items", "hreflang": "en-US"}]}, {"id": "231c1bff-73bd-4ee7-964c-ce3172d2cd6c", "type": "catalog", "title": "Effects of groundwater levels and soil moisture on the development of leaf area index and biomass yield of wet grasslands (Lysimeter data)", "description": "The data set contains daily values of weather data, groundwater levels und soil moisture in 30 cm depth of four groundwater lysimeter of a lysimeter station in the Spreewald wetland from 2014 to 2020. The four soil monoliths were extracted on the location of the lysimeter station and represent the site conditions of the wetland. Leaf area index was measured on different days during the investigation period. Two times per year the biomass was harvested. The biomass was weighted (wet yield), dried and weighted again (dry yield). \nThe groundwater levels in the four lysimeters distinguish in their depth below the surface and their annual cycle. They represent different water resources management options for wet grassland sites discussed in the region (Dietrich and Kaiser, 2017). One lysimeter represents the conditions of the surrounding area (actual water management option). The other options have higher or lower target water levels. They show the effects of a modified water management on the water balance, the development of the vegetation and the biomass yield.\nThis table contains the index of all tables forming this data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/231c1bff-73bd-4ee7-964c-ce3172d2cd6c", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/231c1bff-73bd-4ee7-964c-ce3172d2cd6c", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/231c1bff-73bd-4ee7-964c-ce3172d2cd6c/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/231c1bff-73bd-4ee7-964c-ce3172d2cd6c/items", "hreflang": "en-US"}]}, {"id": "191ebf5f-5293-4711-a6e9-dfd7f6ed2e20", "type": "catalog", "title": "Model Output Scenario Analysis 2023 - Dataset ASH Rothardt Kage 2023", "description": "Results of a model-based scenario analysis of 10 sites over 25 years. Approach: Reduction of nitrogen losses after winter oilseed rape before winter wheat by different residue management options. Treatments: with previous crop straw, without residues, replacement of the original crop residues with winter wheat straw. Related Publication: Rothardt & Kage, 2023: \u201eSimulation-based Assessment of Residue Management to Mitigate N Loss Risk in Winter Wheat Production\u201d, submitted to Nutrient Cycling in Agroecosystems.This tables contains plant-soil-process-model results for the years 1990 to 2015 for Ascha.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/191ebf5f-5293-4711-a6e9-dfd7f6ed2e20", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/191ebf5f-5293-4711-a6e9-dfd7f6ed2e20", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/191ebf5f-5293-4711-a6e9-dfd7f6ed2e20/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/191ebf5f-5293-4711-a6e9-dfd7f6ed2e20/items", "hreflang": "en-US"}]}, {"id": "104d0626-4f06-485f-a991-29b502700d7d", "type": "catalog", "title": "Monitoring of tree growth, water relations and element budget of a mature beech (Fagus sylvatica L.) forest ecosystem in Brandenburg, Germany", "description": "The water and element budgets and the vegetation of a mature beech forest stand (Fagus sylvatica L.) in Brandenburg, Germany were investigated over 19 years from 2001 to 2019. \nThe dataset contains data on open land and forest stand internal meteorology including soil moisture, soil matric potential, soil temperature, concentrations of macro elements and heavy metals in bulk precipitation, throughfall, stemflow, and soil solution. Data on stem growth and litterfall describe the development of the forest stand.\nThe experimental approach is similar to that of the ICP Forest level II plots (http://icp-forests.net), but additionally considers the spatial variability in the stem distance gradient for throughfall and soil solution.\nThis table contains the index of all tables forming this data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/104d0626-4f06-485f-a991-29b502700d7d", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/104d0626-4f06-485f-a991-29b502700d7d", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/104d0626-4f06-485f-a991-29b502700d7d/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/104d0626-4f06-485f-a991-29b502700d7d/items", "hreflang": "en-US"}]}, {"id": "05dda4f7-17f9-4b57-bf1d-21a51725eada", "type": "catalog", "title": "Long-term field experiment V140 Muencheberg from 1963 to 2009 - Plots", "description": "This data/file has been withdrawn by the author and is no longer available for free reuse.\n\nAuthor's statement: The published LTE-data was withdrawn and replaced by an updated Version.The usability of the tables is enhanced and the experiment can be analyzed in the new Version as a single factorial experiment. The tables FAKTOR_1_STUFE and FAKTOR_2_STUFE were not longer necessary.\n\nThis data collection consists of 30 individual tables which are related to each other.\n\nGeneral description of the Long-term Field Experiment \"V140\": The long-term field experiment \"V140\" was established in 1963 at the experimental site of the present Leibniz Centre for Agricultural Landscape Research (ZALF) about 50 km east of Berlin in the district M\u00e4rkisch-Oderland. The area is characterized by dry periods, particularly during early summer. The long-term average annual precipitation rate and tempeature is 536 mm and 8.8\u00b0C, respectively. Weather data for the running period of V140 are available at the DWD (station number 03376 via https://opendata.dwd.de/climate_environment/CDC/observations_germany/climate/daily/kl/historical/). The V140 represents one of the few still active long-term field experiments on sandy soil. During the running period just smaller management measures changes have been done. Whereas originally questions to yield increase measures on sandy soil were in focus, present research put more focus on the effects of organic and mineral fertilization on essential aspects of the soil fertility. The V140 is around 0.5 ha and is located on a flat area. Before the establishment of V140 the site was cultivated uniformly. According to the German Guidelines Soil Assessment (Bodensch\u00e4tzung) the dominating soil types are slightly loamy sand and sand (Sl4D and S4D). The most common soil sub type is Haplic Luvisol. The experiment includes 21 treatments: 5 levels of mineral fertilization combined with 4 levels of organic fertilization and one control.", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/05dda4f7-17f9-4b57-bf1d-21a51725eada", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/05dda4f7-17f9-4b57-bf1d-21a51725eada", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/05dda4f7-17f9-4b57-bf1d-21a51725eada/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/05dda4f7-17f9-4b57-bf1d-21a51725eada/items", "hreflang": "en-US"}]}, {"id": "27dda226-5326-454b-9877-5ef641e208b5", "type": "catalog", "title": "P mobilization under maize in the long-term field experiment in Rostock 2015/2016", "description": "Phosphorus (P) fertilizers and mycorrhiza formation can both significantly improve the P supply of plants, but P fertilizers might inhibit mycorrhiza formation and change the microbial P cycling. To test the dimension and consequences of P fertilizer impacts under maize (Zea mays L.), three fertilizer treatments (1) triple superphosphate (TSP, 21\u201330 kg P ha\u20131 annually), biowaste compost (ORG, 30 Mg ha\u20131 wet weight every third year) and a combination of both (OMI) were compared to a non-P-fertilized control (C) in 2015 and 2016. The test site was a long-term field experiment on a Stagnic Cambisol in Rostock (NE Germany). Soil microbial biomass P (Pmic) and soil enzyme activities involved in P mobilization (phosphatases and \u00df-glucosidase), plant available P content (double lactate-extract; PDL), mycorrhizal colonization, shoot biomass, and shoot P concentrations were determined. P deficiency led to decreased P immobilization in microbial biomass, but the maize growth was not affected. TSP application alone promoted the P uptake by the microbial biomass but reduced the mycorrhizal colonization of maize compared to the control by more than one third. Biowaste compost increased soil enzyme activities in the P cycling, increased Pmic and slightly decreased the mycorrhizal colonization of maize. Addition of TSP to biowaste compost increased the content of PDL in soil to the level of optimal plant supply. Single TSP supply decreased the ratio of PDL:Pmic to 1:1 from about 4:1 in the control. Decreased plant-benefits from mycorrhizal symbiosis were assumed from decreased mycorrhizal colonization of maize with TSP supply. The undesirable side effects of TSP supply on the microbial P cycling can be alleviated by the use of compost. Thus, it can be concluded that the plant-availability of P from soil amendments is controlled by the amendment-specific microbial P cycling and, likely, P transfer to plants. Peine et al. (2018): Effect of triple superphosphate and biowaste compost on mycorrhizal colonization and enzymatic P mobilization under maize in a long-term field experiment. DOI: 10.1002/jpln.201800499\"", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/27dda226-5326-454b-9877-5ef641e208b5", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/27dda226-5326-454b-9877-5ef641e208b5", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/27dda226-5326-454b-9877-5ef641e208b5/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/27dda226-5326-454b-9877-5ef641e208b5/items", "hreflang": "en-US"}]}, {"id": "2f520316-f6b8-44f4-a622-c13e7c80c722", "type": "catalog", "title": "Low-cost ground-based NDVI sensor device for manual and automated crop monitoring", "description": "Ground-based NDVI sensors are vital for an accurate, localized crop condition and growth assessment, but their high cost and labor-intensive nature limit accessibility. Here, we present a low-cost NDVI sensor device, priced under 250 Euros, which can be utilized both manually as a handheld tool and automatically as a standalone device to address this issue. We calibrated and field validated the low-cost NDVI sensor against a commercial sensor for ground-based NDVI measurements. Our calibration revealed a slight underestimation at higher NDVI values measured from the low-cost sensor, which we adjusted using a correction function. Field validation proved the accuracy of low-cost sensor device, with a high correlation (r\u00b2 = 0.99; y = 1.04x + 0.003) and good agreement with the reference device, after applying then derived correction function. Further field trial application of the low-cost sensor as a handheld device (manual mode) in Benin and the Philippines for rice and pineapple cultivation, respectively, demonstrated the reliability of the device to monitor crop development and biomass accumulation. An additional field testing in an oat field site in Germany showed that the developed low-cost NDVI sensor, functioning as a standalone automatic device, is robust, reliable and capable to monitor crop development during senescence, through higher temporal resolution NDVI measurements. This study proved the accuracy and reliability of our low-cost NDVI sensor, increasing accessibility to cost-effective, ground-based NDVI crop monitoring solutions.Contains the index of all datasets.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/2f520316-f6b8-44f4-a622-c13e7c80c722", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/2f520316-f6b8-44f4-a622-c13e7c80c722", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/2f520316-f6b8-44f4-a622-c13e7c80c722/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/2f520316-f6b8-44f4-a622-c13e7c80c722/items", "hreflang": "en-US"}]}, {"id": "1aa6a96b-f614-4578-ac1b-7a904079d132", "type": "catalog", "title": "Westerfeld: Long-term field trial on tillage and fertilization in crop rotation - PLOT", "description": "The long-term field trial started 1992 in Bernburg, Saxony-Anhalt, Germany (51\u00b082' N, 11\u00b070', 138 m above sea level). The soil is a loess chernozem over limestone with an effective rooting depth of 100 cm, containing 22% clay, 70% silt and 8% sand in the ploughed upper (Ap) horizon. It has a neutral pH (7.0\u20137.4) and an appropriate P and K supply (45\u201370 mg kg-1 and 130\u2013185 mg kg-1 in calcium-acetate-lactate extract, respectively). The 1980\u20132010 annual average temperature was 9.7\u00b0C, and the average annual precipitation was 511 mm. On five large parcels in strip split plot design (1.2 ha each, main plots) the individual crops grain maize (Zea mays), winter wheat (Triticum aestivum), winter barley (Hordeum vulgare), winter rapeseed (Brassica napus ssp. napus), and winter wheat are rotated on the main plots and grown in parallel. All crop residues remain on the fields. Conservation tillage with a cultivator (CT; 10 cm flat non-inversion soil loosening) is compared to sub-plots with conventional tillage (MP; mould-board plough, carrier board with combined alternating ploughshares, ploughing depth 30 cm, incl. soil inversion). The differentially managed soils are either intensively (Int) operated according to usual practice regarding N supply and pesticide application or extensively managed (Ext) with reduced N supply, without fungicides, and growth regulators.  The climate data are not included in the data set. They can be downloaded via the DWD's Open Data Server because there is a DWD weather station (ID 00445) in Bernburg-Strenzfeld. Description of table 1\n\nRelated datasets are listed in the metadata element 'Related Identifier'. Based on this dataset, the following scientific publication was created and published: https://doi.org/10.1038/s41597-025-05314-z \nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/1aa6a96b-f614-4578-ac1b-7a904079d132", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/1aa6a96b-f614-4578-ac1b-7a904079d132", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/1aa6a96b-f614-4578-ac1b-7a904079d132/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/1aa6a96b-f614-4578-ac1b-7a904079d132/items", "hreflang": "en-US"}]}, {"id": "3d56b0bd-65b0-4afe-808b-f591cd340f04", "type": "catalog", "title": "Maize and cover crop biomass development, soil mineral N and water contents at Hohenschulen field site in the first and second trial year of Rhizo4Bio \u2013 RootWayS project.", "description": "In the winter half-years of 2020/2021 and 2021/2022, winter cover crops were grown in 10 trial variants at the Hohenschulen trial site. The soils at the trial site are mainly stagnic Luvisols derived from glacial till. The variants were arranged in a randomized block design with four replications. Cover crop and maize biomass development, as well as soil mineral N content were monitored at several sampling times during the corresponding growing seasons. Soil water content was measured during the maize vegetation period. This table contains the index of all tables forming this data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/3d56b0bd-65b0-4afe-808b-f591cd340f04", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/3d56b0bd-65b0-4afe-808b-f591cd340f04", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/3d56b0bd-65b0-4afe-808b-f591cd340f04/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/3d56b0bd-65b0-4afe-808b-f591cd340f04/items", "hreflang": "en-US"}]}, {"id": "0c3ce0e2-0299-4998-bc55-ed2002c29ea3", "type": "catalog", "title": "The unexpected long period of elevated CH4 emissions from an inundated fen meadow ended only with the occurrence of cattail (Typha latifolia) (Part 1 of data collection, table ENVIRONMENTAL_VARIABLES_AND_FLUXES)", "description": "Drainage and agricultural use transform natural peatlands from a net carbon (C) sink to a net C source. Rewetting of peatlands, despite of high methane (CH4) emissions, holds the potential to mitigate climate change by greatly reducing CO2 emissions. However, the time span for this transition is unknown because most studies are limited to a few years. Especially, non-permanent open water areas often created after rewetting, are highly productive. Here, we present 14 consecutive years of CH4 flux measurements following rewetting of a formerly long-term drained peatland in the Peene valley. Measurements were made at two rewetted sites (non-inundated vs. inundated) using manual chambers. During the study period, significant differences in measured CH4 emissions occurred. In general, these differences overlapped with stages of ecosystem transition from a cultivated grassland to a polytrophic lake dominated by emergent helophytes, but could also be additionally explained by other variables. This transition started with a rapid vegetation shift from dying cultivated grasses to open water floating and submerged hydrophytes and significantly increased CH4 emissions. Since 2008, helophytes have gradually spread from the shoreline into the open water area, especially in drier years. This process was periodically delayed by exceptional inundation and eventually resulted in the inundated site being covered by emergent helophytes. While the period between 2009 and 2015 showed exceptionally high CH4 emissions, these decreased significantly after cattail and other emergent helophytes became dominant at the inundated site. Therefore, CH4 emissions declined only after ten years of transition following rewetting, potentilly reaching a new steady state. Overall, this study highlights the importance of an integrative approach to understand the shallow lakes CH4 biogeochemistry, encompassing the entire area with its mosaic of different vegetation forms. This should be ideally done through a study design including proper measurement site allocation as well as long-term measurements. This table contains data about environmental variables and fluxes.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/0c3ce0e2-0299-4998-bc55-ed2002c29ea3", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/0c3ce0e2-0299-4998-bc55-ed2002c29ea3", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/0c3ce0e2-0299-4998-bc55-ed2002c29ea3/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/0c3ce0e2-0299-4998-bc55-ed2002c29ea3/items", "hreflang": "en-US"}]}, {"id": "0448e5fe-7ccd-49ac-834e-8903d52388c3", "type": "catalog", "title": "Subsoil amelioration strategies determine crop water use", "description": "This dataset is on the soil nutrients and d18O isotopic ratio of the soil and plant water, as well as on the d13C and d18O isotopic ratio in different plant organs and yield for the different subsoil amelioration treatments of the Soil3 experiment in Klein-Altendorf (University of Bonn). This table contains the index of all tables forming this data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/0448e5fe-7ccd-49ac-834e-8903d52388c3", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/0448e5fe-7ccd-49ac-834e-8903d52388c3", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/0448e5fe-7ccd-49ac-834e-8903d52388c3/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/0448e5fe-7ccd-49ac-834e-8903d52388c3/items", "hreflang": "en-US"}]}, {"id": "14e7c761-6f87-4f4c-9035-adb282439a44", "type": "catalog", "title": "SoilGrids250m 2.0 - Volumetric Water Content at 33kPa", "description": "Volumetric Water Content at 33kPa suction in 10-3 cm3cm-3 (0.1 v% or 1 mm/m) at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers.", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/14e7c761-6f87-4f4c-9035-adb282439a44", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/14e7c761-6f87-4f4c-9035-adb282439a44", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/14e7c761-6f87-4f4c-9035-adb282439a44/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/14e7c761-6f87-4f4c-9035-adb282439a44/items", "hreflang": "en-US"}]}, {"id": "2606626e-3a0a-440d-8dc0-b0ea666239eb", "type": "catalog", "title": "Crop rotation experiment \u201cV145\u201d at Kiel University\u00b4s experiment station - Agronomic data", "description": "The project RhizoWheat aims at elucidating processes leading to yield decline of wheat grown in self-succession. The crop rotation experiment \u201cV145\u201d was established in autumn 2015 at Kiel University\u00b4s experiment station \u201cHohenschulen\u201d, Achterwehr, Schleswig-Holstein. The experiment consists of four crop rotations. Within the project RhizoWheat we work with a beginning wheat monoculture (oilseed rape \u2013 wheat \u2013 wheat - wheat - wheat). Each element of the crop rotation is grown in each year in four replications and with five nitrogen fertilization levels (0, 80, 160, 240, 320 kg N/ha). Here we present data for three seasons of the experiment (2020/21 to 2022/23) for wheat.", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/2606626e-3a0a-440d-8dc0-b0ea666239eb", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/2606626e-3a0a-440d-8dc0-b0ea666239eb", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/2606626e-3a0a-440d-8dc0-b0ea666239eb/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/2606626e-3a0a-440d-8dc0-b0ea666239eb/items", "hreflang": "en-US"}]}, {"id": "1df71c4a-aae3-4367-9578-1ee9c7311d79", "type": "catalog", "title": "Long-term field data of invertebrate and pesticide assessments in small water bodies of the Sentinel Pond Network", "description": "The Sentinel Pond Network comprises permanent monitoring sites in 12 standing small bodies of water in the agricultural landscape in various regions of Germany. The aim is the long-term and continuous recording of the chemical and ecological status of small water bodies in the agricultural landscape. The Sentinel Pond Network aims to investigate the extent to which the diversity and function of aquatic organisms (e.g. insects) are influenced by the cultivation measures and methods used on neighboring agricultural land. The program aims to a) record the status of the biodiversity of small water bodies in the agricultural landscape and b) monitor any changes in this status. The annual surveys include the taxonomic identification of aquatic organisms (benthic invertebrates), mapping of habitat and surrounding structures and the recording of possible water pollution (e.g. pesticides, nutrients). The selected waterbodies represent both ecologically valuable and particularly species-poor ecosystems. This table contains the index of all tables forming this data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/1df71c4a-aae3-4367-9578-1ee9c7311d79", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/1df71c4a-aae3-4367-9578-1ee9c7311d79", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/1df71c4a-aae3-4367-9578-1ee9c7311d79/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/1df71c4a-aae3-4367-9578-1ee9c7311d79/items", "hreflang": "en-US"}]}, {"id": "187ee2d8-90d4-476b-b3ac-9f4b791ffc3c", "type": "catalog", "title": "Logger based water table measurements in selected kettle holes in the Uckermark (NE Germany, Brandenburg) (Part 1 of data collection, table Kettle_holes_Uckermark_watertable)", "description": "Water-table and water-temperature measurements were conducted by Water Level Data Logger (AckermannKG) during 2019-2021 in hourly time steps of 17 kettle holes in the Uckermark region (Nordeast Germany, Land Brandenburg). The elevation data are related to DHHN2016 (Deutsches Haupth\u00f6hennetz 2016, German Hight Reference Frame 2016).\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/187ee2d8-90d4-476b-b3ac-9f4b791ffc3c", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/187ee2d8-90d4-476b-b3ac-9f4b791ffc3c", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/187ee2d8-90d4-476b-b3ac-9f4b791ffc3c/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/187ee2d8-90d4-476b-b3ac-9f4b791ffc3c/items", "hreflang": "en-US"}]}, {"id": "0e018dea-ab53-461f-b454-2eaaca8c765c", "type": "catalog", "title": "Production of wheat and barley under reduced input in organic farming - Soil parameters for season I and II", "description": "During the last decades, organic farming has undergone a notable expansion as a common agricultural practice throughout the world. This, together with an increasing demand for fertilizer and pesticide reduction has led to consider different and new approaches. We investigate the effect of Hartmannibacter diazotrophicus strain E19, a plant growth promoting rhizobacterium, in order to enhance the production of wheat and barley under low energy input. For that, we analyze the effect of three factors: organic fertilizer (with and without, only wheat), row distance (15 cm and 50 cm), and bacterial inoculation (E19 and control) at two different organic experimental field stations (Gladbacherhof and Kleinhohenheim). The dataset provides information about different parameter determined from rhizosphere soil and root samples collected at two different developmental stages (flowering and milk/fully ripe), as well as, the grain yield, straw yield, 1000 kernel mass, and seed quality during the seasons 2020-2021 and 2021-2022. The following soil parameter were evaluated: ammonium, nitrate, carbon-nitrogen ratio, microbial biomass, the respiration activity using different carbon sources (glucose, galactose, N-acetylglucosamine, arginine). These data sets are currently under evaluation and complemented with the quantification from root samples through quantitative PCR (qPCR) of strain E19 and the metabarcoding sequencing of the bacterial communities based on 16S rRNA genes obtained from rhizosphere soil samples during the two seasons.  Soil parameter data\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/0e018dea-ab53-461f-b454-2eaaca8c765c", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/0e018dea-ab53-461f-b454-2eaaca8c765c", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/0e018dea-ab53-461f-b454-2eaaca8c765c/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/0e018dea-ab53-461f-b454-2eaaca8c765c/items", "hreflang": "en-US"}]}, {"id": "5cc34bf0-657a-49c7-8198-57ad9ad8341f", "type": "catalog", "title": "Giessen long-term field experiment 'biological nitrogen fixation' - treatment plots", "description": "This data set describes the plot names and treatments of the Giessen long-term field experiment into biological nitrogen fixation. The treatment comprises a four-year crop rotation in which the first year is variable (fava bean, wheat or maize) crossed with various fertilization treatments (no fertilizer, PK fertilization or NPK fertilization). The experiment and data described in Hobley et al. 'Decoupling of subsoil carbon and nitrogen dynamics after long-term crop rotation and fertilization ', 2018, Agriculture, Ecosystems and Environment. https://doi.org/10.1016/j.agee.2018.06.021", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/5cc34bf0-657a-49c7-8198-57ad9ad8341f", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/5cc34bf0-657a-49c7-8198-57ad9ad8341f", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/5cc34bf0-657a-49c7-8198-57ad9ad8341f/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/5cc34bf0-657a-49c7-8198-57ad9ad8341f/items", "hreflang": "en-US"}]}, {"id": "4a82859d-7e04-412c-92f8-ed7cf7ca9d2f", "type": "catalog", "title": "Amorphous silica reduces N2O emissions from arable land at the field plot scale (dataset)", "description": "Increasing greenhouse gas emissions pose a strong threat due to accelerating global warming. N2O emissions are highly important in this regard as N2O is a very powerful greenhouse gas. Agriculture is the main human-induced source for N2O emissions contributing roughly 60% to total N2O emissions. Soil amorphous silica (ASi) contents are reduced in arable soils due to yearly exports by crop harvest as most crops are silicon accumulator plants. Most recently it has been shown that ASi is increasing water and nutrient availability in soils. Both factors are known to directly and indirectly affect N2O emissions from agroecosystems. This dataset originates from a study which we conducted at a field plot trial on arable soil depleted in ASi and fertilized this soil its pre-agricultural ASi level. The data  shows that increasing soil ASi to a pre-agricultural level decreased seasonal N2O emissions by ~30%. This reduction of N2O emissions due to ASi might be of global relevance as agricultural practice has reduced the ASi content in agricultural soils. If future studies confirm the effect of ASi on N2O emissions, the soil ASi depletion by agricultural practice in the last decades may have led to a substantial increases of N2O emissions. This table contains the Index of the data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/4a82859d-7e04-412c-92f8-ed7cf7ca9d2f", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/4a82859d-7e04-412c-92f8-ed7cf7ca9d2f", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/4a82859d-7e04-412c-92f8-ed7cf7ca9d2f/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/4a82859d-7e04-412c-92f8-ed7cf7ca9d2f/items", "hreflang": "en-US"}]}, {"id": "2e48504f-4ae9-4400-b5fe-128b03863710", "type": "catalog", "title": "Proximal soil sensing data from the RapidMapper, a novel  mobile multi-sensor platform for topsoil mapping [Boo\u00dfen (Brandenburg, Germany), August 2021].", "description": "Proximal soil sensing data were collected by a novel multi-sensor platform (\u201cRapidMapper\u201d) for on-the-go topsoil mapping. This platform was developed within the BonaRes project \u201cI4S (Intelligence for Soil) \u2013 Integrated System for Site-Specific Soil Fertility Management\u201d (https://www.bonares.de/i4s). The sensor data comprise: (i) apparent electrical conductivity (ECa) using the galvanic contact resistivity technique based on the Wenner array configuration, (ii) near-infrared (NIR) spectra covering the nominal range of 860\uf02d2550 nm with a resolution of 1 nm (C11118GA, Hamamatsu Photonics K. K., Shizuoka Pref., Japan), and (iii) gamma spectra from a CsI (Caesium Iodide) scintillator crystal (MS-2000-CsI-MTS, Medusa Radiometrics BV, Groningen, Netherlands)detecting the naturally occurring radionuclides, Potassium-40 (40K), Uranium-238 (238U), Thorium-232 (232Th) and Caesium-137 (137Cs). They were collected from the topsoil at a measurement frequency of 1 Hz during a field mapping campaign in August 2021 conducted on an agricultural field of 15.5 ha in Boo\u00dfen near Frankfurt/Oder (Brandenburg, Germany; 52\u00b023\u201938.688\u2019\u2019N, 14\u00b027\u201938.844\u2019\u2019E). The RapidMapper platform was pulled over the field at an average speed of 2.5 km/h and along parallel tracks being about 18 m apart.\n\nResearch domain: Soil Sciences\n\nResearch question: None", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/2e48504f-4ae9-4400-b5fe-128b03863710", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/2e48504f-4ae9-4400-b5fe-128b03863710", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/2e48504f-4ae9-4400-b5fe-128b03863710/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/2e48504f-4ae9-4400-b5fe-128b03863710/items", "hreflang": "en-US"}]}, {"id": "34c44c68-e567-4841-aad3-668b30c70810", "type": "catalog", "title": "Weed flora monitoring data from agricultural fields under conventional use in the AgroScapeLabs Quillow in Northeast Germany from 2000 to 2019 \u2013 here: species occurrence/frequency data", "description": "Systematic vegetation surveys were performed from 2000 to 2019 yearly within the \u201cQuillow-AgroScapeLab\u201d, located in the north-eastern part of the German lowlands (Figure 1). The area is 290 km2, the altitude ranges between 0\u2013100 m above sea level. The landscape is of glacial origin and is characterised by a heterogeneous distribution of the following soil types: luvisols, arenosols,\nphaeozem, retisols, histosols, and planosols. The monitoring was varied out on in total 43 single agricultural fields, 23 out of them belong to the basic monitoring program at AgroScapeLabs Quillow (performed by ZALF) where other parameters have been monitored over time and 20 fields belonging to the Additional program, where only the weed monitoring has been performed. The fields of the Basic program have been selected based on a soil representativeness analysis based on soil map analyses in order to cover the most common and specific soil types within the whole Quillow (river) catchment. The additional program were set up in order to reach a better spatial cover over the whole catchment and to increase the field number. For each field a soil profile description is available from ZALF data repository. Management data are only available from 2000-2006. From later years at least the crop type is available.\nAt each field there was a subunit of  0,5-1 ha selected around the fix plots as analyzed within the Twindataset (BK-VA-AgroScapelabsQuillow) (figure 2). Surveys were repeated every year at nearly the same places. Not every field could be monitored every year due to some restrictions by the field owners. From 2019 on winter rape fields were not be monitored anymore due to monitoring overlap with plant protection measures.\nVegetation surveys were carried out on a subunit of 0,5 -1 ha size, including the plots for the exact estimation from the Twindataset. The field subunits of between 0.5-1 ha were mapped and assessments of each species\u00b4 frequency of occurrence were done. The classification of frequency was based on the following scale, including their intermediate values: mf \u2013 most frequent (occurring on at least 50 % of the field), f \u2013 frequent (occurring on at least 25 % of the field), sc \u2013 scattered/diffuse (occurring on at least 10 % of the field), r \u2013 rare/infrequent (only for a few species), mr \u2013 most rare (not more than 1-3 individuals on the field). Plants that could not be clearly identified were sampled and re-identified in the laboratory. By adding the data into a databank, species names have to be corrected to the nomenclature of Wisskirchen and H\u00e4upler 1998. Vegetation surveys have been carried out after herbicide treatments (if there were any) mostly between end of april, may, and june. (see data tables!). The number of survey dates per years was 1-2. It varies over the years and crops.\nPlease note: a separate Twindataset (https://doi.org/10.4228/zalf-96p3-5n09) is available from the same study area and from the same fields, which contains information on fixplot related vegetation surveys on the arable land using a different method (species coverage estimation according to Braun-Blanquet) from a  different survey area size (3x 25m\u00b2).\n This table contains the index of all tables forming this data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/34c44c68-e567-4841-aad3-668b30c70810", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/34c44c68-e567-4841-aad3-668b30c70810", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/34c44c68-e567-4841-aad3-668b30c70810/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/34c44c68-e567-4841-aad3-668b30c70810/items", "hreflang": "en-US"}]}, {"id": "23500e89-b854-46ad-89a9-5b7604e19539", "type": "catalog", "title": "Soil areas", "description": "Setul de date con\u021bine informa\u0163ia grafic\u0103 de tip poligon privind arealuri de sol pe suprafa\u021ba terenurilor agricole ale R. Moldova cu nota de bonitate apreciat\u0103 \u00een conformitate cu clasificatorul solurilor Republicii Moldova aprobat prin HG nr. 24/1995 (actualmente abrogat). \nProcesul de completare a setului de date este divizat \u00een dou\u0103 componente principale:\n\u2022\tcrearea informa\u0163iei primare \u00een format electronic despre arealurile de sol - efectuat\u0103 \u00een perioda anii 2014-2020, baz\u00eendu-se pe materiale investiga\u0163ii pedologice la scara 1:10000 din anii preceden\u0163i;\n\u2022\tactualizarea bazei de date conform investiga\u0163ii pedologice la scara 1:5000 - 1:10000 efectuate pe parcursul monitoringului solurilor (arealelor de sol).\nComponen\u021ba atributelor datelor spa\u0163iale:\n\u2022\tcodul solului;\n\u2022\tnota de bonitate;\n\u2022\tdenumirea solului.", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/23500e89-b854-46ad-89a9-5b7604e19539", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/23500e89-b854-46ad-89a9-5b7604e19539", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/23500e89-b854-46ad-89a9-5b7604e19539/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/23500e89-b854-46ad-89a9-5b7604e19539/items", "hreflang": "en-US"}]}, {"id": "038b8abf-4ce4-4c4b-b258-4371971b6ded", "type": "catalog", "title": "Long-term experiment on soil tillage, rotation and irrigation (V4)", "description": "The long-term experiment on soil tillage, rotation and irrigation (V4) started in the year 2000. It is characterized by several experimental cycles with different cropping system comparisons. Soil tillage is the consistent factor since the start of the experiment. Crop rotation and irrigation were adjusted according to the research questions. Cycle 1 (2000-2006) investigated the potential of reducing soil tillage by comparing two cropping systems, one with and one without ploughing with different crops per system. Cycle 2 (2007-2018) investigated the potential to produce arable crops for biomass by comparing eight cropping systems. The factors were crop rotation, i) sole cropped maize every year and ii) 4-year rotation with one crop per year with maize-winter rye/sorghum-winter triticale-alfalfa clover grass mixture (all harvested for green biomass); soil tillage (ploughing and no-tillage); irrigation (rainfed and irrigated). Cycle 3 (2019-2023) investigated the potential of diversification comparing 16 cropping systems. The factors were rotation with all crops present every year (fully phased) with i) sole cropped maize, ii) sole cropped soybean, iii) maize-soybean sequence, and iv) maize-soybean-wheat-alfalfa clover grass mixture sequence); soil tillage (ploughing and reduced tillage); irrigation (rainfed and irrigated). The experimental cycles can be analyzed separately for specific research questions and for calibrating/validating models, and the long term effects of soil tillage, rotation and irrigation can be analyzed. This table contains the index of all tables forming this data collection.\n\nRelated datasets and supporting articles are listed in the metadata element 'Related Identifier'.\nWeather data of the site can be found here: https://doi.org/10.4228/zalf-8mqs-9382.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/038b8abf-4ce4-4c4b-b258-4371971b6ded", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/038b8abf-4ce4-4c4b-b258-4371971b6ded", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/038b8abf-4ce4-4c4b-b258-4371971b6ded/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/038b8abf-4ce4-4c4b-b258-4371971b6ded/items", "hreflang": "en-US"}]}, {"id": "03b52930-0210-4bfc-a4ac-75f7544ce7a5", "type": "catalog", "title": "50 years box plot experiment in Grossbeeren (1972 - 2022) - Plots", "description": "The Box Plot Experiment in Grossbeeren was set up in 1972 to investigate the effect of different fertilization strategies within an irrigated vegetable crop rotation system for three different soils. Therefore, this vegetable long-term fertilization experiment can be used to investigate different plant-soil-systems under the same climatic conditions. The experimented was halted in 2022. The experimental site (52\u00b021\u201901.30\u2019\u2019 E, 13\u00b019\u201905.47\u2019\u2019 N, 50 m a.s.l.) is located in the transition zone between the more maritime-affected Northern German Plain and the continental climate of the European mainland. Weather data were collected in an agrometeorological station close to the experimental area. The long-term means (1991-2020) for air temperature and annual precipitation are 9.7 \u00b0C and 492 mm. The single plots are quadratic concrete boxes with walls of 10 cm thickness, a surface area of 4 m2 and a depth of 75 cm. The upper 50 cm are filled with the tested soils; the lower 25 cm comprises a coarse-sandy drainage layer. The three soil types are Arenic Luvisol (weak loamy sand), Gleyic Fluvisol (heavy sandy loam) and Luvic-Phaeozem (medium clayey silt) according to the World Reference Base \u2013 WRB (and the Bodenkundliche Kartieranleitung \u2013 KA4). Within 10 rotations, the vegetable species white cabbage (Brassica oleracea L. var. capitata f. alba), carrot (Daucus carota L.), cucumber (Cucumis sativus L.), leek (Allium porrum L.) and celery (Apium graveolens L. var. rapaceum Mill.) were cultivated. No celery was cultivated during the first rotation. The experiment consists of 12 fertilization treatments in different combinations of mineral N fertilization and organic amendments and as quadruplicate for each of the three soils. The experimental set-up scheme can be found in the supplementary material. Mineral N fertilizer was applied as calcium ammonium nitrate. Mineral P and K fertilization was uniform for all treatments. Total N and total C in soil, plant and organic amendments were determined using a CNS analyser VARIO El (Elemental Hanau) since 1995 and before by wet combustion with K2Cr2O7 und H2SO4. C and N in the soil samples and N in the plant samples were analysed annually. The C contents of the crop residues (leaf + stalk + root) of the five vegetable species were investigated irregularly. In autumn, the soil was annually dug up to 20 cm by using a spade. Weeds were removed by a combination of mechanical (cultivator, rake or hoe) and chemical measures. Insect protection nets, insecticides or fungicides were used where necessary. Approximately 150 mm per year was additionally irrigated with a sprinkler system. More details about the experiment\u2019s description can be found in the supplementary material. Description of table 1\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/03b52930-0210-4bfc-a4ac-75f7544ce7a5", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/03b52930-0210-4bfc-a4ac-75f7544ce7a5", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/03b52930-0210-4bfc-a4ac-75f7544ce7a5/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/03b52930-0210-4bfc-a4ac-75f7544ce7a5/items", "hreflang": "en-US"}]}, {"id": "32c253d2-321b-4987-b5e3-6b48552c0c8f", "type": "catalog", "title": "Multi-year crop yield data of silvoarable alley cropping (agroforesty) system in Brandenburg (DAKIS project)", "description": "This data collections contains yield data for different years and and the related coordinates for the project site DAKIS in Gro\u00dfmutz.\nParallel to the agroforestry strips, the plot combine harvester drives a distance of around 5 m and then stops. The GNSS coordinates are determined using a GNSS device (the antenna of the GNSS device is marked with A in the figure) after stopping at the end position of the plot. The antenna is mounted above the cutting unit. The straw is collected on a straw scale and weighed, the grains are weighed, and the moisture content is determined. All data is stored in a continuous table. The plot length (marked C in the figure) is calculated from the distance to the previous point determined by GNSS. The plot width (marked B in the figure) corresponds to the working width of the harvester. After weighing, the straw is manually removed from the scale (recognizable in the picture as a haystack). For the next plot, the combine harvester now drives about 5m again and the process starts from the beginning.  This table contains the index of all tables forming this data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/32c253d2-321b-4987-b5e3-6b48552c0c8f", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/32c253d2-321b-4987-b5e3-6b48552c0c8f", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/32c253d2-321b-4987-b5e3-6b48552c0c8f/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/32c253d2-321b-4987-b5e3-6b48552c0c8f/items", "hreflang": "en-US"}]}, {"id": "12f3a7bb-02da-4c99-b5bd-9803a0960263", "type": "catalog", "title": "Topsoil dilution by subsoil admixture had less impact on the SOC stock development than fertilizer form and soil erosion state", "description": "Current efforts to enhance the agroecosystems carbon (C) sink function for climate mitigation faced challenges, particularly with traditional measures having limited suitability for increasing soil organic carbon (SOC) stocks.  One way out of this dilemma could be to create an additional stable soil C sink by inducing SOC under saturation in the topsoil. In the past, attempts were made by abrupt topsoil dilution through subsoil admixture by means of deep tillage but with varying degrees of success. This was partly due to a lack of knowledge about the impact of soil condition like erosion state and N fertilization form ensuring optimum C input into the soil on the desired additional SOC accumulation and partly due to the lack of suitable experimental approaches to record the effect of all relevant factors simultaneously. To help solve these problems, a three-factorial experimental field trial were established: I.) \"moderate topsoil dilution\" (diluted vs non-diluted), II.) \"N fertilization form\" (mineral, i.e., calcium ammonium nitrate and urea vs organic, i.e., digestate) and III.)  \"soil types\" (Calcic Luvisol, Nudiargic Luvisol, and Calcaric Regosol) covering the typical range of erosion states in the hummocky ground moraine landscape of NE Germany. \nThis datasets contains weather data, NDVI/RVI measurements data , soil texture data, soil and plant analysis data, CO2 flux obtained using a novel robotic chamber system that were conducted from 23.07.2020 (after manipulation) - 29.06.2021 (Harvest).\n\nThis table contains the index of all tables forming this data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/12f3a7bb-02da-4c99-b5bd-9803a0960263", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/12f3a7bb-02da-4c99-b5bd-9803a0960263", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/12f3a7bb-02da-4c99-b5bd-9803a0960263/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/12f3a7bb-02da-4c99-b5bd-9803a0960263/items", "hreflang": "en-US"}]}, {"id": "2c1778af-1856-46d2-8a82-809fcfe654c2", "type": "catalog", "title": "Grain legume production data for soybean, lupins and faba bean, the effect of cultivars and irrigation and impacts on the following winter wheat", "description": "This data set reports measurements and observations from a grain legume cropping system experiment (2017-2022) investigating the effects of cultivars and irrigation on yield of soybean, lupins and faba bean (in the last two years additionally chickpea, dry bean, lentil and summer barley), and rotational effects on a subsequent winter wheat (2018-2023). The objective was to identify grain legume species and cultivars for designing novel cropping systems in north-eastern Germany. The data supports agronomic analyses, as well as dynamic simulation modelling and includes details on crop growth, soil characteristics and weather. In the first part of the experiment different species and cultivars and the effect of irrigation were compared in a split block design with four replicates and the factors species/cultivar and irrigation during five consecutive years (2017-2022). The treatments included eight to 18 species/cultivars depending on the year with soybean, narrow-leafed lupin, white lupin, yellow lupin, faba bean, chickpea, dry bean, lentil and summer barley. Buckwheat was cultivated as a reference crop. Soybean and lupin seeds were inoculated with HISTICK\u00ae soybean/lupin (BASF, Germany) and in the last year with LegumeFix. No fertilizers and conventional crop protection was applied. All lupin species were treated with a natural insecticide against the Sitona weevils. For technical reasons, treatment with this insecticide of field bean, soybean and buckwheat was also unavoidable in some years. Measurements included grain yield, one thousand seed weigh, macro nutrients (N, P, K) in the grain, and additional agronomic observations including number of plants and plant phenology. Irrigation water was applied with a sprinkler system using the Web-BEREST model (Mirschel et al., 2014) to determine the amounts and timing (data on the amounts and dates are provided). In the second part of the experiment, the pre-crop effect of the mentioned legumes and buckwheat was tested on the grain yield and nutrient content in the following winter wheat crop and on the nitrogen dynamics in the soil. Before winter (November/December) and in the subsequent spring (February/March), mineral nitrogen was measured in the soil at three depths (0-30 cm, 30-60 cm, and 60-90 cm) after the different pre-crops. Winter wheat was established following the different pre-crops with 4 replicates during six consecutive years (2018-2023) In the first three years (2018 -2020) with conventional fertilization and crop protection and in the remaining years (2021- 2023) with ecological management. Table V421_SOIL_TEXTURE: Soil description of the respective winter wheat fields in 2018-2020\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 2.0", "itemType": "record", "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", "links": [{"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/2c1778af-1856-46d2-8a82-809fcfe654c2", "hreflang": "en-US"}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/ogc-catalog", "type": "application/json", "title": "Record catalog collection", "href": "https://repository.soilwise-he.eu/cat/collections/2c1778af-1856-46d2-8a82-809fcfe654c2", "hreflang": "en-US"}, {"rel": "queryables", "type": "application/json", "title": "Collection queryables", "href": "https://repository.soilwise-he.eu/cat/collections/2c1778af-1856-46d2-8a82-809fcfe654c2/queryables", "hreflang": "en-US"}, {"rel": "items", "type": "application/geo+json", "title": "Collection items as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/2c1778af-1856-46d2-8a82-809fcfe654c2/items", "hreflang": "en-US"}]}], "links": [{"rel": "self", "type": "application/json", "title": "This document as JSON", "href": "https://repository.soilwise-he.eu/cat/collections?f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections?f=html", "hreflang": "en-US"}]}