{"type": "FeatureCollection", "features": [{"id": "10.1016/b978-0-444-64177-9.00006-0", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-25T16:16:43Z", "type": "Report", "created": "2020-04-16", "title": "SfM photogrammetry for GeoArchaeology", "description": "Geoarchaeological studies have benefits from new technological developments in remote-sensing technologies that have become an integral and important part of the archeological researches. In particular, structure-from-motion (SfM) photogrammetry is one of the most successful emerging techniques in high-resolution topography (HRT) and provides exceptionally fast, low-cost, and easy three-dimensional (3D) survey for geoscience applications. In this chapter, we present an example of SfM application for geoarchaeology. The purpose is to realize HRT digital terrain models (DTMs) of an area of prehistoric agricultural terracing together with a geoarchaeological excavation trench in the Ingram Valley, Northumberland National Park, NE England. The study area is one of the six pilot case studies of TerrACE archeological research project (ERC-2017-ADG: 787790, 2018\u20132023; https://www.terrace.no/), a 5-year European Research Council grant funded by the European Union. An integrated approach utilizing ground-based and UAV (nadir and oblique) images was used to preserve fine-grained topographic detail and permit the accurate survey of highly vegetated areas and steep or subvertical surfaces (e.g., vertical walls of terraces), while also allowing for the capture of large spatial datasets. The SfM-DTM provided an accurate and high level of detail of the terrace landscape, the archeological features, and the soil and sediment stratigraphy along the excavation trench. An additional terrace was identified that had not been recognized before due to the HRT study bringing out a level of detail that had not been previously observable in this area. The SfM 3D outputs allowed the extraction of profiles, sections, scaled plans, and orthomosaics of the terrace complex and the excavation trench, simplifying and speeding the archeologist's field and laboratory work. SfM has shown it to be a rapid, cost effective, and highly accurate technique for surveying archeological sites at both a landscape and localized scale and adding new and more accurate information in nationally important landscapes and beyond.", "keywords": ["Archeological sites; Digital terrain models; Prehistoric agricultural terraces; Structure from motion; TerrACE project; Unmanned aerial vehicles", "15. Life on land"]}, "links": [{"href": "https://doi.org/10.1016/b978-0-444-64177-9.00006-0"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/b978-0-444-64177-9.00006-0", "name": "item", "description": "10.1016/b978-0-444-64177-9.00006-0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/b978-0-444-64177-9.00006-0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.1089/ast.2019.2132", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-25T16:21:10Z", "type": "Journal Article", "created": "2020-05-29", "title": "Fluvial Regimes, Morphometry, and Age of Jezero Crater Paleolake Inlet Valleys and Their Exobiological Significance for the 2020 Rover Mission Landing Site", "description": "Jezero crater has been selected as the landing site for the Mars 2020 Perseverance rover, because it contains a paleolake with two fan-deltas, inlet and outlet valleys. Using the data from the High Resolution Stereo Camera (HRSC) and the High Resolution Imaging Science Experiment (HiRISE), we conducted a quantitative geomorphological study of the inlet valleys of the Jezero paleolake. Results show that the strongest erosion is related to a network of deep valleys that cut into the highland bedrock well upstream of the Jezero crater and likely formed before the formation of the regional olivine-rich unit. In contrast, the lower sections of valleys display poor bedrock erosion and a lack of tributaries but are characterized by the presence of pristine landforms interpreted as fluvial bars from preserved channels, the discharge rates of which have been estimated at 103-104 m3s-1. The valleys' lower sections postdate the olivine-rich unit, are linked directly to the fan-deltas, and are thus formed in an energetic, late stage of activity. Although a Late Noachian age for the fan-deltas' formation is not excluded based on crosscutting relationships and crater counts, this indicates evidence of a Hesperian age with significant implications for exobiology.", "keywords": ["Geologic Sediments", "550", "landing site", "Extraterrestrial Environment", "Datasets as Topic", "Magnesium Compounds", "Mars", "01 natural sciences", "HRSC", "HiRISE", "[SDU.STU.PL]Sciences of the Universe [physics]/Earth Sciences/Planetology", "Taverne", "Exobiology", "0103 physical sciences", "Perseverance rover", "Off-Road Motor Vehicles", "Spacecraft", "fluvial landforms", "Fluvial deposits", " Sedimentology", " Landing site", " Mars", " Perseverance rover", "", "Landing site", "0105 earth and related environmental sciences", "Silicates", "500", "15. Life on land", "Agricultural and Biological Sciences (miscellaneous)", "Fluvial landforms", "Lakes", "Space and Planetary Science", "13. Climate action", "[SDU.STU.PL] Sciences of the Universe [physics]/Earth Sciences/Planetology", "Iron Compounds"]}, "links": [{"href": "https://www.liebertpub.com/doi/pdf/10.1089/ast.2019.2132"}, {"href": "https://doi.org/10.1089/ast.2019.2132"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Astrobiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1089/ast.2019.2132", "name": "item", "description": "10.1089/ast.2019.2132", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1089/ast.2019.2132"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-01T00:00:00Z"}}, {"id": "10.3390/drones9020129", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-25T16:25:03Z", "type": "Journal Article", "created": "2025-02-11", "title": "Unmanned Aerial Vehicle-Based Hyperspectral Imaging and Soil Texture Mapping with Robust AI Algorithms", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>This paper explores the integration of UAV-based hyperspectral imaging and advanced AI algorithms for soil texture mapping and stress detection in agricultural settings. The primary focus lies on leveraging multi-modal sensor data, including hyperspectral imaging, thermal imaging, and gamma-ray spectroscopy, to enable precise monitoring of abiotic and biotic stressors in crops. An innovative algorithm combining vegetation indices, path planning, and machine learning methods is introduced to enhance the efficiency of data collection and analysis. Experimental results demonstrate significant improvements in accuracy and operational efficiency, paving the way for real-time, data-driven decision-making in precision agriculture.</p></article>", "keywords": ["precision agriculture", "UAV-based hyperspectral imaging", "TL1-4050", "soil texture mapping", "artificial intelligence (AI) in agriculture", "Motor vehicles. Aeronautics. Astronautics"]}, "links": [{"href": "https://www.mdpi.com/2504-446X/9/2/129/pdf"}, {"href": "https://doi.org/10.3390/drones9020129"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Drones", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/drones9020129", "name": "item", "description": "10.3390/drones9020129", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/drones9020129"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-02-11T00:00:00Z"}}, {"id": "10.3390/drones7030179", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-25T16:25:03Z", "type": "Journal Article", "created": "2023-03-07", "title": "Animal Detection and Counting from UAV Images Using Convolutional Neural Networks", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In the last decade, small unmanned aerial vehicles (UAVs/drones) have become increasingly popular in the airborne observation of large areas for many purposes, such as the monitoring of agricultural areas, the tracking of wild animals in their natural habitats, and the counting of livestock. Coupled with deep learning, they allow for automatic image processing and recognition. The aim of this work was to detect and count the deer population in northwestern Serbia from such images using deep neural networks, a tedious process that otherwise requires a lot of time and effort. In this paper, we present and compare the performance of several state-of-the-art network architectures, trained on a manually annotated set of images, and use it to predict the presence of objects in the rest of the dataset. We implemented three versions of the You Only Look Once (YOLO) architecture and a Single Shot Multibox Detector (SSD) to detect deer in a dense forest environment and measured their performance based on mean average precision (mAP), precision, recall, and F1 score. Moreover, we also evaluated the models based on their real-time performance. The results showed that the selected models were able to detect deer with a mean average precision of up to 70.45% and a confidence score of up to a 99%. The highest precision was achieved by the fourth version of YOLO with 86%, as well as the highest recall value of 75%. Its compressed version achieved slightly lower results, with 83% mAP in its best case, but it demonstrated four times better real-time performance. The counting function was applied on the best-performing models, providing us with the exact distribution of deer over all images. Yolov4 obtained an error of 8.3% in counting, while Yolov4-tiny mistook 12 deer, which accounted for an error of 7.1%.</p></article>", "keywords": ["convolutional neural networks; deer; animal counting; deep learning; YOLO; SSD", "convolutional neural networks", "deer", "deep learning", "YOLO", "TL1-4050", "animal counting", "SSD", "Motor vehicles. Aeronautics. Astronautics"]}, "links": [{"href": "http://www.mdpi.com/2504-446X/7/3/179/pdf"}, {"href": "https://www.mdpi.com/2504-446X/7/3/179/pdf"}, {"href": "https://doi.org/10.3390/drones7030179"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Drones", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/drones7030179", "name": "item", "description": "10.3390/drones7030179", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/drones7030179"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-06T00:00:00Z"}}, {"id": "10.3390/rs16081324", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-25T16:25:21Z", "type": "Journal Article", "created": "2024-04-10", "title": "Advancements in Remote Sensing Imagery Applications for Precision Management in Olive Growing: A Systematic Review", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>This systematic review explores the role of remote sensing technology in addressing the requirements of sustainable olive growing, set against the backdrop of growing global food demands and contemporary environmental constraints in agriculture. The critical analysis presented in this document assesses different remote sensing platforms (satellites, manned aircraft vehicles, unmanned aerial vehicles and terrestrial equipment) and sensors (RGB, multispectral, thermal, hyperspectral and LiDAR), emphasizing their strategic selection based on specific study aims and geographical scales. Focusing on olive growing, particularly prominent in the Mediterranean region, this article analyzes the diverse applications of remote sensing, including the management of inventory and irrigation; detection/monitoring of diseases and phenology; and estimation of crucial parameters regarding biophysical parameters, water stress indicators, crop evapotranspiration and yield. Through a global perspective and insights from studies conducted in diverse olive-growing regions, this review underscores the potential benefits of remote sensing in shaping and improving sustainable agricultural practices, mitigating environmental impacts and ensuring the economic viability of olive trees.</p></article>", "keywords": ["RGB", "2. Zero hunger", "multispectral", "Science", "Q", "0211 other engineering and technologies", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "satellite imagery", "manned aircraft vehicles", "12. Responsible consumption", "hyperspectral", "0401 agriculture", " forestry", " and fisheries", "unmanned aerial vehicles"]}, "links": [{"href": "https://www.mdpi.com/2072-4292/16/8/1324/pdf"}, {"href": "https://doi.org/10.3390/rs16081324"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs16081324", "name": "item", "description": "10.3390/rs16081324", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs16081324"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-09T00:00:00Z"}}, {"id": "21.15107/rcub_machinery_7864", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-25T16:32:40Z", "type": "Report", "title": "Analysis of failures of elements of draw gear and impacts on the safety of rail vehicles", "description": "Rail transportation is one of the most efficient ways of transporting goods and passengers. Alongside modern and reliable infrastructure systems, special emphasis is placed on the reliability, availability, and safety of rail vehicles. The draw gear device plays a pivotal role in ensuring operational safety and efficiency. However, failures within this system can lead to catastrophic consequences, compromising the safety of both passengers and goods. This paper analyzes the root causes and impacts of draw gear failures on rail vehicle safety through a comprehensive analysis of historical data, current data, and simulation of failure by numerical analysis. The analysis reveals that draw gear failures stem from various factors, including material fatigue, design deficiencies, improper maintenance, and operational conditions. These failures can result in the breakage of elements that can cause derailments, collisions, and other accidents. Such incidents pose significant risks to human life, property, and the environment. Furthermore, the economic implications of such failures, including repair costs, service disruptions, and legal liabilities, underscore the importance of proactive mitigation strategies. By identifying common failure modes and their underlying mechanisms, this research provides valuable information and data for enhancing the reliability and safety of draw gear systems. Results obtained from these analyses can be used to improve design, material selection and characteristics, maintenance, and monitoring technologies. Additionally, the analyzed data emphasize the importance of industry collaboration in mitigating the risks associated with draw gear failures and ensuring the continued safety and efficiency of rail transportation systems.", "keywords": ["Risk Mitigation", "Rail Vehicles", "Draw Gear", "Safety", "Failure Analysis"], "contacts": [{"organization": "Stojanovi\u0107, Jago\u0161, Tanaskovi\u0107, Jovan, Rankovi\u0107, Jovana, Vuk\u0161i\u0107 Popovi\u0107, Marija, Rusov, Sr\u0111an,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/21.15107/rcub_machinery_7864"}, {"rel": "self", "type": "application/geo+json", "title": "21.15107/rcub_machinery_7864", "name": "item", "description": "21.15107/rcub_machinery_7864", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/21.15107/rcub_machinery_7864"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "4ec9b2a8c708db8abe89ea74645263de", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-25T16:34:36Z", "type": "Report", "title": "Kooperativno okru\u017eenje za infrastrukturu e-mobilnosti", "description": "U radu je opisan zna\u010daj i mogu\u0107nost razvoja razli\u010ditih usluga iz podru\u010dja inteligentnih transportnih sustava (ITS), a u svrhu unapre\u0111enja kvalitete usluge e-pokretljivosti, a prije svega prema krajnjim korisnicima elektri\u010dnih vozila. Ukazano je na zna\u010daj ovog pristupa u odnosu na budu\u0107i razvoj razli\u010ditih infrastruktura uklju\u010denih u e-mobilnost. Dat je prikaz modela i odgovaraju\u0107e arhitekture za punjenje elektri\u010dnih vozila i njima nadogra\u0111ene usluge prema krajnjim korisnicima \u2013 voza\u010dima.", "keywords": ["Arhitektura sustava.", "E-pokretljivost", "Potpuno elektri\u010dna vozila", "Inteligentni transportni sustavi", "Inteligentni transportni sustavi ; E-pokretljivost ; Kooperativni sustavi ; Potpuno elektri\u010dna vozila ; Arhitektura sustava.", "Intelligent transportation systems", "Kooperativni sustavi", "E-mobility", "Cooperative systems", "System architecture", "Fully electric vehicles"], "contacts": [{"organization": "Mand\u017euka, Sadko, Greguri\u0107, Martin, Kljai\u0107, Zdenko,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/4ec9b2a8c708db8abe89ea74645263de"}, {"rel": "self", "type": "application/geo+json", "title": "4ec9b2a8c708db8abe89ea74645263de", "name": "item", "description": "4ec9b2a8c708db8abe89ea74645263de", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/4ec9b2a8c708db8abe89ea74645263de"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "d1cdbca9-3f3e-4995-a79e-b5b464e97b04", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[9.9, 51.98], [9.9, 52.01], [9.96, 52.01], [9.96, 51.98], [9.9, 51.98]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "Top soil"}, {"id": "Subsoil"}, {"id": "soil compaction"}, {"id": "Soil pore system"}, {"id": "Soil porosity"}, {"id": "Soil macropores"}, {"id": "Field capacity"}, {"id": "Wilting point"}, {"id": "Hydraulic conductivity"}, {"id": "agriculture"}, {"id": "Vehicles"}, {"id": "Harvesters"}, {"id": "Tillage"}, {"id": "Conservation tillage"}, {"id": "Conventional tillage"}, {"id": "Ploughing"}, {"id": "management"}, {"id": "Management techniques"}, {"id": "On-farm research"}, {"id": "Field experimentation"}, {"id": "Traffic"}, {"id": "Soil sampling"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Bodenfunktion"}, {"id": "Bodenstruktur"}, {"id": "Physikalische Ver\u00e4nderung"}, {"id": "Bodenwasser"}, {"id": "Bodenschutz"}, {"id": "Bodenuntersuchung"}, {"id": "Probenahme"}, {"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "opendata"}, {"id": "Soil physical parameters"}, {"id": "Soil density"}, {"id": "Dry bulk density"}, {"id": "Soil water content"}, {"id": "Soil deformation"}, {"id": "Soil hydraulic properties"}, {"id": "Soil water retention"}, {"id": "Air capaciy"}, {"id": "Plant available water"}, {"id": "Agricultural machineries"}, {"id": "Agricultural management"}, {"id": "Soil management"}, {"id": "Field experiment"}, {"id": "Wheeling experiment"}, {"id": "Field traffic"}, {"id": "Soil conserving traffic"}], "scheme": "individual"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - SOILAssist's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - SOILAssist and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - SOILAssist and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - SOILAssist and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2023-07-17", "type": "Dataset", "created": "2020-05-13", "language": "eng", "title": "Soil pressure, deformation, and changes in soil physical parameters caused by combine harvester wheeling", "description": "In recent years, agricultural machinery became steadily larger and heavier. Especially under wet soil conditions, when soil is susceptible to compaction, heavy wheel load field traffic can lead to harmful soil compaction. This data set contains soil data from a wheeling experiment with an agricultural vehicle (2-axle combine harvester with bunker; total weight: 17 t). The experiment was conducted in 2016 on an agricultural test field in Adenstedt (Hildesheim district, Lower Saxony, Germany) during the harvest campaign. The soil type is Stagnic Luvisol derived from Loess and was conventionally tilled with a plough up to a depth of 28 cm. The cultivated crop was winter wheat. For the wheeling experiment, a combine harvester with full bunker volume passed defined plots in the field. In the inner field area, the number of wheel passes were 2 and in the headlands the number of wheel passes were 6. The sampling sites were both located in the inner field area and in the headlands. To investigate changes in soil physical parameters, soil structure, and soil functions caused by combine harvester driving, undisturbed soil cores (100 cm\u00b3) were taken before (unwheeled) and after wheeling (wheeled). The unwheeled soil samples were taken in 22, 35, and 50 depth and the wheeled soil samples in 20, 35, and 50 cm depth. In the inner field area, two soil pits were sampled per wheeling variant and in the headlands, one soil pit was sampled per wheeling variant. Additionally, the soil biopores were counted in every one of the three soil depths. A total of 30 undisturbed soil samples were taken per each soil pit, 10 per each soil depth.5 of the 10 undisturbed sampling rings were used to investigate soil water retention and the other 5 for saturated hydraulic conductivity. The determination of pF values was conducted in the soil laboratory using sand and clay boxes as well as pressure pots according to DIN ISO 11274. Saturated hydraulic conductivity was analyzed using a soil water permeameter (open system) according to ISO / FDIS 17312. The soil parameters total pore volume, air capacity, field capacity, usable field capacity, permanent wilting point, dry bulk density, and current water content during soil sampling were derived from the soil laboratory results.\n\nResearch domain: Soil Sciences", "formats": [{"name": "CSV"}], "keywords": ["Soil", "Top soil", "Subsoil", "soil compaction", "Soil pore system", "Soil porosity", "Soil macropores", "Field capacity", "Wilting point", "Hydraulic conductivity", "agriculture", "Vehicles", "Harvesters", "Tillage", "Conservation tillage", "Conventional tillage", "Ploughing", "management", "Management techniques", "On-farm research", "Field experimentation", "Traffic", "Soil sampling", "Bodenfunktion", "Bodenstruktur", "Physikalische Ver\u00e4nderung", "Bodenwasser", "Bodenschutz", "Bodenuntersuchung", "Probenahme", "Boden", "opendata", "Soil physical parameters", "Soil density", "Dry bulk density", "Soil water content", "Soil deformation", "Soil hydraulic properties", "Soil water retention", "Air capaciy", "Plant available water", "Agricultural machineries", "Agricultural management", "Soil management", "Field experiment", "Wheeling experiment", "Field traffic", "Soil conserving traffic"], "contacts": [{"name": "Weise, Maike", "organization": "Th\u00fcnen Institute of Agricultural Technology", "position": "Research associate", "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "maike.weise@thuenen.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 47"], "city": "Braunschweig", "administrativeArea": null, "postalCode": "38116", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Lorenz, Marco", "organization": "Th\u00fcnen Institute of Agricultural Technology", "position": "Research associate", "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "marco.lorenz@thuenen.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 47"], "city": "Braunschweig", "administrativeArea": null, "postalCode": "38116", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Ortmeier, Berthold", "organization": "-", "position": null, "roles": ["other"], "phones": [{"value": null}], "emails": [{"value": "-"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Brunotte, Joachim", "organization": "Th\u00fcnen Institute of Agricultural Technology", "position": "Research associate", "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "joachim.brunotte@thuenen.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 47"], "city": "Braunschweig", "administrativeArea": null, "postalCode": "38116", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Lorenz, Marco", "organization": "Th\u00fcnen Institute of Agricultural Technology", "position": "Research associate", "roles": ["projectManager"], "phones": [{"value": null}], "emails": [{"value": "marco.lorenz@thuenen.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 47"], "city": "Braunschweig", "administrativeArea": null, "postalCode": "38116", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Thomas, Celina", "organization": "Th\u00fcnen Institute of Agricultural Technology", "position": "Research associate", "roles": ["dataCurator"], "phones": [{"value": null}], "emails": [{"value": "celina.thomas@thuenen.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 47"], "city": "Braunschweig", "administrativeArea": null, "postalCode": "38116", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - 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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - BonaRes - SOILAssist's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - BonaRes - SOILAssist and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - BonaRes - SOILAssist and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. 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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - SOILAssist's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - SOILAssist and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - SOILAssist and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - SOILAssist and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2023-07-17", "type": "Dataset", "created": "2020-05-13", "language": "eng", "title": "Soil pressure, deformation, and changes in soil physical parameters caused by silage maize harvest chain", "description": "In recent years, agricultural machinery became steadily larger and heavier. Especially under wet soil conditions, when soil is susceptible to compaction, heavy wheel load field traffic can lead to harmful soil compaction. This data set contains soil data from a wheeling experiment with agricultural vehicles from the silage maize harvest chain (maize chopper (total weight: 20 t), tractor with mulcher (total weight: 75 t), and tractor with silage trailer (total weight: 32 t)). The experiment was conducted in 2016 on an agricultural test field in Adenstedt (Hildesheim district, Lower Saxony, Germany). The soil type is Stagnic Luvisol derived from Loess and was tilled with a cultivator up to a depth of 25 cm (reduced tillage). For the wheeling experiment, the harvest chain vehicles passed defined plots in the inner field area one after another (8 wheel passes). Maximum soil pressure und plastic soil deformation evoked by vehicle passing was measured simultaneously with a multi-channel device consisting of Bolling probes (Bolling, 1987) and hydrostatic measuring hoses (Nolting et al., 2006). Maximum soil pressure and plastic soil deformation was measured in 20, 35, and 50 cm depth directly below the center of the tires. To investigate changes in soil physical parameters, soil structure, and soil functions caused by harvest chain vehicles driving, undisturbed soil cores (100 cm\u00b3) were taken before (unwheeled) and after wheeling (wheeled). The sampling sites were located in the inner field area. Two soil pits were sampled per wheeling variant. A total of 30 undisturbed soil samples were taken per each soil pit, 10 per each soil depth (20, 35, 50 cm). The soil biopores were counted in every one of the three soil depths. 5 of the 10 undisturbed sampling rings were used to investigate soil water retention and the other 5 for saturated hydraulic conductivity. The determination of pF values was conducted in the soil laboratory using sand and clay boxes as well as pressure pots according to DIN ISO 11274. Saturated hydraulic conductivity was analyzed using a soil water permeameter (open system) according to ISO / FDIS 17312. The soil parameters total pore volume, air capacity, field capacity, usable field capacity, permanent wilting point, dry bulk density, and current water content during soil sampling were derived from the soil laboratory results.\n\nResearch domain: Soil Sciences", "formats": [{"name": "CSV"}], "keywords": ["Soil", "Top soil", "Subsoil", "soil compaction", "Soil pore system", "Soil porosity", "Soil macropores", "Field capacity", "Wilting point", "Hydraulic conductivity", "agriculture", "Vehicles", "Harvesters", "Tillage", "Conservation tillage", "Conventional tillage", "Ploughing", "management", "Management techniques", "On-farm research", "Field experimentation", "Traffic", "Soil sampling", "Bodenfunktion", "Bodenstruktur", "Physikalische Ver\u00e4nderung", "Bodenwasser", "Bodenschutz", "Bodenuntersuchung", "Probenahme", "opendata", "Boden"], "contacts": [{"name": "Weise, Maike", "organization": "Th\u00fcnen Institute of Agricultural Technology", "position": "Research associate", "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "maike.weise@thuenen.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 47"], "city": "Braunschweig", "administrativeArea": null, "postalCode": "38116", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Lorenz, Marco", "organization": "Th\u00fcnen Institute of Agricultural Technology", "position": "Research associate", "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "marco.lorenz@thuenen.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 47"], "city": "Braunschweig", "administrativeArea": null, "postalCode": "38116", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Ortmeier, Berthold", "organization": "-", "position": null, "roles": ["other"], "phones": [{"value": null}], "emails": [{"value": "-"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Brunotte, Joachim", "organization": "Th\u00fcnen Institute of Agricultural Technology", "position": "Research associate", "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "joachim.brunotte@thuenen.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 47"], "city": "Braunschweig", "administrativeArea": null, "postalCode": "38116", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Lorenz, Marco", "organization": "Th\u00fcnen Institute of Agricultural Technology", "position": "Research associate", "roles": ["projectManager"], "phones": [{"value": null}], "emails": [{"value": "marco.lorenz@thuenen.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 47"], "city": "Braunschweig", "administrativeArea": null, "postalCode": "38116", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Thomas, Celina", "organization": "Th\u00fcnen Institute of Agricultural Technology", "position": "Research associate", "roles": ["dataCurator"], "phones": [{"value": null}], "emails": [{"value": "celina.thomas@thuenen.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 47"], "city": "Braunschweig", "administrativeArea": null, "postalCode": "38116", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Th\u00fcnen Institute of Agricultural Technology", "roles": ["contributor"]}], "title_alternate": "Changes of soil physical and soil functional parameters caused by driving of a silage maize harvest chain on arable land and measuring of soil pressure and soil deformation"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=c0096e15-df0d-4ba9-9b46-bafa414cd14b", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "c0096e15-df0d-4ba9-9b46-bafa414cd14b", "name": "item", "description": "c0096e15-df0d-4ba9-9b46-bafa414cd14b", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/c0096e15-df0d-4ba9-9b46-bafa414cd14b"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-07-17T00:00:00Z"}}, {"id": "65c50647-b035-43a5-b1aa-1f03c6f8ee2e", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[9.9, 51.98], [9.9, 52.01], [9.96, 52.01], [9.96, 51.98], [9.9, 51.98]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "Top soil"}, {"id": "Subsoil"}, {"id": "soil compaction"}, {"id": "Soil pore system"}, {"id": "Soil porosity"}, {"id": "Soil macropores"}, {"id": "Field capacity"}, {"id": "Wilting point"}, {"id": "Hydraulic conductivity"}, {"id": "agriculture"}, {"id": "Vehicles"}, {"id": "Harvesters"}, {"id": "Tillage"}, {"id": "Conservation tillage"}, {"id": "Conventional tillage"}, {"id": "Ploughing"}, {"id": "management"}, {"id": "Management techniques"}, {"id": "On-farm research"}, {"id": "Field experimentation"}, {"id": "Traffic"}, {"id": "Soil sampling"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Bodenfunktion"}, {"id": "Bodenstruktur"}, {"id": "Physikalische Ver\u00e4nderung"}, {"id": "Bodenwasser"}, {"id": "Bodenschutz"}, {"id": "Bodenuntersuchung"}, {"id": "Probenahme"}, {"id": "Boden"}], "scheme": "GEMET - 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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - SOILAssist's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - SOILAssist and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - SOILAssist and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - SOILAssist and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2023-07-17", "type": "Dataset", "created": "2020-05-13", "language": "eng", "title": "Soil pressure, deformation, and changes in soil physical parameters caused by beet harvester wheeling", "description": "In recent years, agricultural machinery became steadily larger and heavier. Especially under wet soil conditions, when soil is susceptible to compaction, heavy wheel load field traffic can lead to harmful soil compaction. This data set contains soil data from a wheeling experiment with an agricultural vehicle (3-axle sugar beet harvester). The experiment was conducted in 2016 on an agricultural test field in Adenstedt (Hildesheim district, Lower Saxony, Germany). The soil type is Stagnic Luvisol derived from Loess and was tilled with a cultivator up to a depth of 25 cm (reduced tillage). For the wheeling experiment, the harvester passed defined plots in the field with a full bunker (total weight: 62 t) and a half full bunker (total weight: 49 t). Maximum soil pressure and plastic soil deformation evoked by harvester passing was measured simultaneously with a multi-channel device consisting of Bolling probes (Bolling, 1987) and hydrostatic measuring hoses (Nolting et al., 2006). Maximum soil pressure and plastic soil deformation was measured in 20, 35, and 50 cm depth directly below the center of the tires. To investigate changes in soil physical parameters, soil structure, and soil functions caused by harvester driving, undisturbed soil cores (100 cm\u00b3) were taken before (unwheeled) and after wheeling (wheeled). Wheeling variants in the inner field area were sugar beet harvester with half full bunker and full bunker volume driving with all wheels in the same track (3 wheel passes). The wheeling variant of the headland area was sugar beet harvester with full bunker volume and multiple wheel passes in front of the sugar beet clamp. The sampling sites were located both in the inner field area and in the headlands. Two soil pits were sampled per wheeling variant in the inner field area and one soil pit in the headlands. A total of 30 undisturbed soil samples were taken per each soil pit, 10 per each soil depth (20, 35, 50 cm). The soil biopores were counted in every one of the three soil depths. 5 of the 10 undisturbed sampling rings were used to investigate soil water retention and the other 5 for saturated hydraulic conductivity. The determination of pF values was conducted in the soil laboratory using sand and clay boxes as well as pressure pots according to DIN ISO 11274. Saturated hydraulic conductivity was analyzed using a soil water permeameter (open system) according to ISO / FDIS 17312. The soil parameters, total pore volume, air capacity, field capacity, usable field capacity, permanent wilting point, dry bulk density, and current water content during soil sampling were derived from the soil laboratory results.\n\nResearch domain: Soil Sciences", "formats": [{"name": "CSV"}], "keywords": ["Soil", "Top soil", "Subsoil", "soil compaction", "Soil pore system", "Soil porosity", "Soil macropores", "Field capacity", "Wilting point", "Hydraulic conductivity", "agriculture", "Vehicles", "Harvesters", "Tillage", "Conservation tillage", "Conventional tillage", "Ploughing", "management", "Management techniques", "On-farm research", "Field experimentation", "Traffic", "Soil sampling", "Bodenfunktion", "Bodenstruktur", "Physikalische Ver\u00e4nderung", "Bodenwasser", "Bodenschutz", "Bodenuntersuchung", "Probenahme", "Boden", "opendata", "Soil physical parameters", "Soil density", "Dry bulk density", "Soil water content", "Soil deformation", "Soil hydraulic properties", "Soil water retention", "Air capacity", "Plant available water", "Agricultural machineries", "Agricultural management", "Soil management", "Field experiment", "Wheeling experiment", "Field traffic", "Soil conserving traffic"], "contacts": [{"name": "Weise, Maike", "organization": "Th\u00fcnen Institute of Agricultural Technology", "position": "Research associate", "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "maike.weise@thuenen.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 47"], "city": "Braunschweig", "administrativeArea": null, "postalCode": "38116", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Lorenz, Marco", "organization": "Th\u00fcnen Institute of Agricultural Technology", "position": "Research associate", "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "marco.lorenz@thuenen.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 47"], "city": "Braunschweig", "administrativeArea": null, "postalCode": "38116", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Ortmeier, Berthold", "organization": "-", "position": null, "roles": ["other"], "phones": [{"value": null}], "emails": [{"value": "-"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Brunotte, Joachim", "organization": "Th\u00fcnen Institute of Agricultural Technology", "position": "Research associate", "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "joachim.brunotte@thuenen.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 47"], "city": "Braunschweig", "administrativeArea": null, "postalCode": "38116", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Lorenz, Marco", "organization": "Th\u00fcnen Institute of Agricultural Technology", "position": "Research associate", "roles": ["projectManager"], "phones": [{"value": null}], "emails": [{"value": "marco.lorenz@thuenen.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 47"], "city": "Braunschweig", "administrativeArea": null, "postalCode": "38116", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Thomas, Celina", "organization": "Th\u00fcnen Institute of Agricultural Technology", "position": "Research associate", "roles": ["dataCurator"], "phones": [{"value": null}], "emails": [{"value": "celina.thomas@thuenen.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 47"], "city": "Braunschweig", "administrativeArea": null, "postalCode": "38116", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Th\u00fcnen Institute of Agricultural Technology", "roles": ["contributor"]}], "title_alternate": "Changes of soil physical and soil functional parameters caused by driving of a sugar beet harvester on arable land and measuring of soil pressure and soil deformation"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=65c50647-b035-43a5-b1aa-1f03c6f8ee2e", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "65c50647-b035-43a5-b1aa-1f03c6f8ee2e", "name": "item", "description": "65c50647-b035-43a5-b1aa-1f03c6f8ee2e", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/65c50647-b035-43a5-b1aa-1f03c6f8ee2e"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-07-17T00:00:00Z"}}, {"id": "501d168d-a2ea-42d6-8c18-b42b0be87e63", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[9.87, 51.96], [9.87, 53.03], [9.96, 53.03], [9.96, 51.96], [9.87, 51.96]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "agriculture"}, {"id": "vehicles"}, {"id": "management techniques"}, {"id": "on-farm research"}, {"id": "field experimentation"}, {"id": "traffic"}, {"id": "tillage"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "Geographisches Informationssystem"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}, {"id": "Geographical grid systems"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - BonaRes - SOILAssist's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - BonaRes - SOILAssist and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - BonaRes - SOILAssist and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - BonaRes - SOILAssist and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-05-11", "type": "Dataset", "created": "2022-11-03", "language": "eng", "title": "Field traffic GPS records, campaign silage maize 2015/2016, Project SOILAssist", "description": "In the course of the SOILAssist project, RTK GPS recordings of field cultivation driving activities are continuously performed. The dataset contains the records of the silage corn campaign 2015/2016 of the agricultural test field 1 in Adenstedt (Hildesheim district, Lower Saxony, Germany).\n\nResearch domain: Plant Cultivation and Agricultural Technology\n\nResearch question: None", "formats": [{"name": "CSV"}], "keywords": ["Soil", "agriculture", "vehicles", "management techniques", "on-farm research", "field experimentation", "traffic", "tillage", "opendata", "Geographisches Informationssystem", "Boden", "Geographical grid systems"], "contacts": [{"name": "Augustin, Katja", "organization": "Department of Geography, Kiel University", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "augustin@geographie.uni-kiel.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-8658-0250", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Brunotte, Joachim", "organization": "Th\u00fcnen Institut of Agriculture", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "joachim.brunotte@thuenen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Brunotte, Joachim", "organization": "Th\u00fcnen Institut of Agriculture", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "joachim.brunotte@thuenen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Lorenz, Marco", "organization": "Th\u00fcnen Institut of Agriculture", "position": null, "roles": ["projectManager"], "phones": [{"value": null}], "emails": [{"value": "marco.lorenz@thuenen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0009-0004-9825-4777", "name_url": "", "description": "Orcid", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Eden, Marie", "organization": "Th\u00fcnen Institut of Agriculture", "position": "0000-0002-6230-8217", "roles": ["dataCurator"], "phones": [{"value": null}], "emails": [{"value": "marie.eden@thuenen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Thomas, Celina", "organization": "Th\u00fcnen Institut of Agriculture", "position": null, "roles": ["dataCurator"], "phones": [{"value": null}], "emails": [{"value": "celina.thomas@thuenen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Department of Geography, Kiel University;Th\u00fcnen Institut of Agriculture", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=501d168d-a2ea-42d6-8c18-b42b0be87e63", "rel": "information"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/Ausschnitt_Shape_Datenveroeffentlichung_SM_2015_2016.PNG", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "501d168d-a2ea-42d6-8c18-b42b0be87e63", "name": "item", "description": "501d168d-a2ea-42d6-8c18-b42b0be87e63", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/501d168d-a2ea-42d6-8c18-b42b0be87e63"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-05-11T00:00:00Z"}}, {"id": "bddcad29-92ec-40a9-9b90-5deb3ffe7b2d", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[13.47, 53.29], [13.47, 53.43], [13.86, 53.43], [13.86, 53.29], [13.47, 53.29]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "kettle holes"}, {"id": "plants"}, {"id": "water levels"}, {"id": "vegetation"}, {"id": "dynamics"}, {"id": "climate change"}, {"id": "plant succession"}, {"id": "unmanned aerial vehicles"}, {"id": "unmanned aerial vehicles"}, {"id": "water levels"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Lebensr\u00e4ume und Biotope"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "opendata"}, {"id": "macrophytes"}], "scheme": "individual"}, {"concepts": [{"id": "Germany"}, {"id": "Brandenburg"}, {"id": "Uckermark"}, {"id": "Quillow"}], "scheme": "Individual"}], "rights": "Reports, articles, papers, scientific and non-scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data re-used from the BonaRes Data Centre www.bonares.de. This data were created as part of ZALF research activities\". Although every care has been taken in preparing and testing the data, ZALF and BonaRes Data Centre cannot guarantee that the data are correct; neither does ZALF and BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF and Data Centre will not be responsible for any direct or indirect use which might be made of the data. If access to actual data is requested, please contact the data owner/author because these underlay an embargo.", "updated": "2023-08-16", "type": "Dataset", "created": "2021-03-05", "language": "eng", "title": "Coverage of dominant plant taxa, water surface area and hydrogeomorphological information for kettle holes surveyed in 2016, 2018 and 2020.", "description": "The published Excel tables contain coverage data from dominant plant communities (response variables) as well as from environmental variables (explanatory variables) collected at kettle holes.\nThe dominant plant communities and their coverage were determined on the basis of UAS images in summer 2016, 2018 and 2020. The delimitation of homogeneous vegetation from the surrounding vegetation areas, the water or the soil was done manually using the color, texture and/or shape in the UAS images. In the end there were 14 dominant plant communities. \nThe environmental variables include the kettle hole and the water surface area, which were determined every year based on the same UAS images as dominant plant communities. In addition, we publish the hydrogeomorphological types of the examined kettle holes and the class of the shore slope, both variables  included as dummy variables.", "formats": [{"name": "CSV"}], "keywords": ["kettle holes", "plants", "water levels", "vegetation", "dynamics", "climate change", "plant succession", "unmanned aerial vehicles", "unmanned aerial vehicles", "water levels", "Lebensr\u00e4ume und Biotope", "opendata", "macrophytes", "Germany", "Brandenburg", "Uckermark", "Quillow"], "contacts": [{"name": "Paetzig, Marlene", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": "+49 33432 82-470"}], "emails": [{"value": "marlene.paetzig@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Str.84"], "city": "M\u00fcncheberg", "administrativeArea": "15374", "postalCode": "15374", "country": "Germany"}], "links": [{"href": {"url": "https://orcid.org/", "protocol": null, "protocol_url": "", "name": "orcid:0000-0003-1687-6982", "name_url": "", "description": "orcid", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Henning, Dorith", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["dataCollector"], "phones": [{"value": "+49 33432 82 332"}], "emails": [{"value": "henning@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Str.84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "D\u00fcker, Eveline", "organization": "unknown", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "unknown"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Kalettka, Thomas", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["dataCollector"], "phones": [{"value": "+49 (0)33432 82-361"}], "emails": [{"value": "tkalettka@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Str. 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - WG Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "P\u00e4tzig, Marlene", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["pointOfContact"], "phones": [{"value": "+49 33432 82-470"}], "emails": [{"value": "marlene.paetzig@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Str. 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandeburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": {"url": "https://orcid.org/", "protocol": null, "protocol_url": "", "name": "orcid:0000-0003-1687-6982", "name_url": "", "description": "Orcid", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "P\u00e4tzig, Marlene", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["projectLeader"], "phones": [{"value": "+49 33432 82-470"}], "emails": [{"value": "marlene.paetzig@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Str. 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandeburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": {"url": "https://orcid.org/", "protocol": null, "protocol_url": "", "name": "orcid:0000-0003-1687-6982", "name_url": "", "description": "Orcid", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=bddcad29-92ec-40a9-9b90-5deb3ffe7b2d", "rel": "information"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/P\u00e4tzing_M..png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "bddcad29-92ec-40a9-9b90-5deb3ffe7b2d", "name": "item", "description": "bddcad29-92ec-40a9-9b90-5deb3ffe7b2d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/bddcad29-92ec-40a9-9b90-5deb3ffe7b2d"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2016-07-15T00:00:00Z", "2021-08-01T00:00:00Z"]}}, {"id": "74c81a1b-546f-4ff6-8889-244397f0ce26", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[13.12, 52.93], [13.12, 52.94], [13.13, 52.94], [13.13, 52.93], [13.12, 52.93]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "unmanned aerial vehicles"}, {"id": "imagery"}, {"id": "remote sensing"}, {"id": "UAV"}, {"id": "RGB"}, {"id": "DAKIS"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Germany"}, {"id": "Brandenburg"}, {"id": "Oberhavel"}, {"id": "L\u00f6wenberger Land"}, {"id": "Gro\u00dfmutz"}], "scheme": "individual"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2025-07-24", "type": "Dataset", "created": "2025-07-15", "language": "eng", "title": "Remote sensing  RGB imagery Grossmutz (Loewenberger Land)", "description": "Georeferenced RGB orthophoto mosaic of a drone survey of the agroforestry project area (Bloch et al. 2024) from 21.08.2019.\nBloch, R.;, M.; Donat, T.; Cremer, und S.; Bellingrath-Kimura. \u201eProject Area - DAKIS\u201c. 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