{"type": "FeatureCollection", "features": [{"id": "0ced9e8f-81c0-11e3-b99b-8851fb422c62", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:14:00Z", "type": "Dataset", "language": "de", "title": "Potential risk of wind erosion on arable soils in Germany 1:1,000,000", "description": "The Potential Wind Erosion Risk map gives an overview of the exposure of arable soils to soil loss due to deflation in Germany. It is based on pedological and climatic factors. The method to predict the soil erosion risk is published in the DIN 19706:2002 and in the documentation of Ad-hoc-AG Boden (representing the soil experts of the geological services of the German federal states). For the application with soil maps, the method was adapted by the Federal Institute for Geosciences and Natural Resources (BGR).The land use stratified soil map of Germany at scale 1:1,000,000 was used as pedological input to the model. The mean annual wind speed at 10 meters above ground level of the period 1980-2000 (DWD) is used as well. The land use information is derived from CORINE land cover data set (2006).", "formats": [{"name": "PDF"}], "keywords": ["bodenabtrag", "bodenerosion-durch-wind", "bundesrepublik-deutschland", "de", "erosionsanfa\u0308lligkeit", "erosionsgefa\u0308hrdung", "inspireidentifiziert", "opendata", "sandsturm", "soil"], "contacts": [{"organization": "Stegger, Ulrich", "roles": ["creator"]}]}, "links": [{"href": "https://download.bgr.de/bgr/Boden/pegwind1000/geotiff/pegwind1000_250_v10.zip"}, {"href": "https://download.bgr.de/bgr/Boden/pegwind1000/jpg300/pegwind1000_250_v10.zip"}, {"href": "https://download.bgr.de/bgr/Boden/pegwind1000/pdf/pegwind1000_250_v10.zip"}, {"href": "https://download.bgr.de/bgr/Boden/pegwind1000/png150/pegwind1000_250_v10.zip"}, {"href": "https://download.bgr.de/bgr/Boden/pegwind1000/tiff300/pegwind1000_250_v10.zip"}, {"href": "http://data.europa.eu/88u/dataset/29944fe2-7dcc-4322-82ca-960ed066b6d3~~1"}, {"rel": "self", "type": "application/geo+json", "title": "0ced9e8f-81c0-11e3-b99b-8851fb422c62", "name": "item", "description": "0ced9e8f-81c0-11e3-b99b-8851fb422c62", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0ced9e8f-81c0-11e3-b99b-8851fb422c62"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "10.1007/978-3-319-67443-8_22", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:14:12Z", "type": "Report", "created": "2017-10-12", "title": "Operational Damage Localization of Wind Turbine Blades", "description": "Open AccessISBN:978-3-319-67443-8", "keywords": ["Damage localization", "Wind turbines; Operational conditions; Damage localization; Principal component analysis; Mode shape curvatures", "Wind turbines", "Principal component analysis", "Mode shape curvatures", "02 engineering and technology", "Operational conditions", "7. Clean energy", "0201 civil engineering"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/978-3-319-67443-8"}, {"href": "http://link.springer.com/content/pdf/10.1007/978-3-319-67443-8_22"}, {"href": "https://doi.org/10.1007/978-3-319-67443-8_22"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/978-3-319-67443-8_22", "name": "item", "description": "10.1007/978-3-319-67443-8_22", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/978-3-319-67443-8_22"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-10-13T00:00:00Z"}}, {"id": "10.1002/we.2621", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:14:10Z", "type": "Journal Article", "created": "2021-02-14", "title": "Conditional variational autoencoders for probabilistic wind turbine blade fatigue estimation using Supervisory, Control, and Data Acquisition data", "description": "Abstract<p>Wind turbine fatigue estimation is based on time\uffe2\uff80\uff90consuming Monte Carlo simulations for various wind conditions, followed by cycle\uffe2\uff80\uff90counting procedures and the application of engineering damage models. The outputs of the fatigue simulations are large in volume and of high dimensionality, as they typically consist of estimates on finite\uffe2\uff80\uff90element computational meshes. The strain and stress tensor time series, which are the primary quantities of interest when considering the problem of fatigue estimation, are dictated by complex vibration characteristics due to the coupled effect of aerodynamics, structural dynamics, geometrically non\uffe2\uff80\uff90linear mechanics, and control. A Variational Auto\uffe2\uff80\uff90Encoder (VAE) is trained in order to model the probability distribution of the accumulated fatigue on the root cross\uffe2\uff80\uff90section of a simulated wind turbine blade. The VAE is conditioned on historical data that correspond to coarse wind\uffe2\uff80\uff90field measurement statistics, such as mean hub\uffe2\uff80\uff90height wind speed, standard deviation of hub\uffe2\uff80\uff90height wind speed and shear exponent. In the absence of direct measurements of structural loads, the proposed technique finds applications in making long\uffe2\uff80\uff90term probabilistic deterioration predictions from historical Supervisory, Control, and Data Acquisition (SCADA) data, while capturing the inherent aleatoric uncertainty due to the incomplete information on strain time series of the wind turbine structure, when only SCADA data statistics are available.</p>", "keywords": ["CVAE", "deep generative models", "high dimensional simulation outputs", "uncertainty quantification", "TJ807-830", "blade root fatigue", "conditional variational autoencoder", "SCADA", "wind turbine blade", "7. Clean energy", "Renewable energy sources"]}, "links": [{"href": "https://doi.org/10.1002/we.2621"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Wind%20Energy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/we.2621", "name": "item", "description": "10.1002/we.2621", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/we.2621"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-11T00:00:00Z"}}, {"id": "10.1007/s00704-004-0068-1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:14:27Z", "type": "Journal Article", "created": "2004-09-24", "title": "Air Movement And Its Consequences Around A Multiple Shelterbelt System Under Advective Conditions In Semi-Arid Northern Nigeria", "description": "Horizontal wind speed patterns above a scarce millet row crop on inhomogeneous sandy soil revealed insufficient protection from hot winds by multiple shelterbelts in semi-arid Northern Nigeria. This appeared mainly due to too high distances between the belts. Marked yield drops occurred with distance between the belts, in what McNaughton defined (under mechanical damage and microclimate disturbance from strong winds) as the unprotected wake zone. These may, in the case of hot winds, mainly be attributed to combined negative effects on soil moisture and crop physiology of the combination of turbulence, worsened by the shelterbelts, and advected heat. Other parameters confirm the picture of the wake zone and the quiet zone, the latter also being present windward of the belts in a reduced form. The results have serious consequences for the design rules of multiple shelterbelts and alternatives under African semi-arid conditions.", "keywords": ["windbreaks", "13. Climate action", "millet", "scheme", "0401 agriculture", " forestry", " and fisheries", "crop", "sand", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Onyewotu, L.O.Z., Stigter, C.J., Oladipo, E.O., Owonubi, J.J.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/s00704-004-0068-1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Theoretical%20and%20Applied%20Climatology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00704-004-0068-1", "name": "item", "description": "10.1007/s00704-004-0068-1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00704-004-0068-1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2004-09-29T00:00:00Z"}}, {"id": "10.1016/j.envpol.2004.12.007", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:15:28Z", "type": "Journal Article", "created": "2005-03-19", "title": "The Impact Of The Almalyk Industrial Complex On Soil Chemical And Biological Properties", "description": "The effect of heavy metals on soil free-living nematodes, microbial biomass (C mic) and basal respiration (BR) was studied along a 15 km downwind deposition gradient, originating at the Almalyk Industrial Complex. Soil samples from 0-10 and 10-20 cm layers were collected at 5 km intervals. A significant decrease in heavy metal deposition was found going from the source in the downwind direction and with depth. The soil microbial biomass, basal respiration and derived microbial indices for soil samples from the Almalyk industrial area were analysed. The lowest soil microbial biomass and total number of free-living nematodes were found in soil samples near the industrial complex, with a high heavy metal and weak total organic carbon (C org) content. The highest C mic was found in the soil samples collected 15 km from the pollution source. BR displayed similar results. The derived indices, metabolic quotient (qCO2) and microbial ratio (C mic/C org), revealed significant differences with distance, confirming environmental stress in the first and second locations. The present study elucidates the importance of soil nematode and microbial populations as suitable tools for bio-monitoring the effect of heavy metals on soil systems.", "keywords": ["Nematoda", "Wind", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "13. Climate action", "Metals", " Heavy", "Animals", "Industry", "0401 agriculture", " forestry", " and fisheries", "Biomass", "Israel", "Environmental Pollution", "Soil Microbiology", "Environmental Monitoring", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2004.12.007"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.envpol.2004.12.007", "name": "item", "description": "10.1016/j.envpol.2004.12.007", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2004.12.007"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2005-07-01T00:00:00Z"}}, {"id": "10.1016/j.epsl.2015.12.030", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:15:30Z", "type": "Journal Article", "created": "2016-01-05", "title": "Estimation of the extraterrestrial 3He and 20Ne fluxes on Earth from He and Ne systematics in marine sediments", "description": "Abstract   Sediments contain interplanetary dust particles (IDPs) carrying extraterrestrial noble gases, such as  3 He, which have previously been used to estimate the IDP accretion flux over time and the duration of past environmental events. However, due to its high diffusivity, He can be lost by diffusion either due to frictional heating during entry in the atmosphere, or once it has been incorporated in the sediments. Therefore the absolute values of  3 He IDP fluxes cannot be known. Due to its lower diffusivity, Ne is less likely to be lost by diffusion than He and can potentially provide an absolute IDP flux value. Here, we studied the Ne and He isotopic composition of 21 sediments of different ages (3 to 38 Myr, 56 Myr and 183 Myr) in order to better constrain the retention of  3 He in such deposits. The samples are carbonates from 2 sites of the Integrated Ocean Drilling Program (IODP), which previously showed evidence of detectable extraterrestrial  3 He, and from the Sancerre core in the Paris basin. The  3 He/ 4 He,  20 Ne/ 22 Ne and  21 Ne/ 22 Ne ratios of decarbonated residues vary respectively from    0.09  \u00d7    10    \u2212  6      to    76.5  \u00d7    10    \u2212  6     ,    9.54  \u00b1  0.08    to    11.30  \u00b1  0.60    and from    0.0295  \u00b1  0.0001    to    0.0344  \u00b1  0.0003   . These isotopic compositions can be explained by a mixing between two terrestrial components (atmosphere and radiogenic He and nucleogenic Ne present in the terrigenous fractions) and an extraterrestrial component. The linear relationship between  20 Ne/ 22 Ne and  3 He/ 22 Ne ratios shows that the extraterrestrial component has a unique composition and is similar to the He and Ne composition of implanted solar wind. This composition is different from the individual stratospheric IDPs for which the Ne and He isotopic compositions have been measured. We suggest that this difference is due to a bias in the sampling of the individual IDPs previously analyzed toward the largest ones that are more likely to lose He during entry in the atmosphere. Our data further constrains the size of the majority of the IDPs to be less than    10    \u03bc  m    in diameter. In addition, the constant  3 He/ 22 Ne ratio of the extraterrestrial component present in the samples, which is similar to the implanted solar wind composition, suggests that no diffusive loss of  3 He occurred in the atmosphere or on the seafloor. Thus, neglecting any non-fractionating He and Ne loss by weathering and/or alteration of the host phases on the seafloor, the extraterrestrial  3 He and  20 Ne fluxes between 3 to 38 Myr ago are respectively    0.2  \u00b1  0.1  \u00d7    10    \u2212  12        cm    3        cm    \u2212  2        kyr    \u2212  1      and    0.2  \u00b1  0.1  \u00d7    10    \u2212  11        cm    3        cm    \u2212  2        kyr    \u2212  1     . During the sharp increases of the late Eocene and late Miocene, the IDP  3 He and  20 Ne fluxes reach values up to five times higher.", "keywords": ["[SDU] Sciences of the Universe [physics]", "13. Climate action", "sediments", "IDP", "helium", "neon", "14. Life underwater", "extraterrestrial flux", "implanted solar wind", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.epsl.2015.12.030"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%20and%20Planetary%20Science%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.epsl.2015.12.030", "name": "item", "description": "10.1016/j.epsl.2015.12.030", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.epsl.2015.12.030"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-02-01T00:00:00Z"}}, {"id": "10.1016/j.proeng.2017.09.285", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:15:56Z", "type": "Journal Article", "created": "2017-09-12", "title": "A substructure approach for fatigue assessment on wind turbine support structures using output-only measurements", "description": "Open AccessFatigue constitutes a major and highly-uncertain safety-related factor for wind turbines. In order to ensure a reliable fatigue assessment of such structures, it is essential that stress predictions be based on the actual structural behaviour. The response identification of operational wind turbines in a global framework constitutes a challenging problem due to the uncertainties associated with the variability of the wind loading and the dynamics of the rotor. In reducing these uncertainties, this study proposes a substructuring approach, which abolishes the need for modelling the intricate and time-varying dynamics of the rotor. Instead, response prediction is performed on a substructure model of the tower and the effect of wind loads and servo dynamics is accounted for via the estimated interface forces at the top of the support structure. The application is based on synthetic vibration data generated via the FAST software and an output-only Bayesian filter employing the structural model of the support structure. The effectiveness of the proposed framework is presented in terms of fatigue damage estimates at different locations on the tower.", "keywords": ["Wind turbine; Dynamic substructuring; Input-state estimation; Response identification; Fatigue damage", "Response identification", "Input-state estimation", "Dynamic substructuring", "Fatigue damage", "02 engineering and technology", "Wind turbine", "7. Clean energy", "0201 civil engineering"]}, "links": [{"href": "https://doi.org/10.1016/j.proeng.2017.09.285"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Procedia%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.proeng.2017.09.285", "name": "item", "description": "10.1016/j.proeng.2017.09.285", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.proeng.2017.09.285"}, {"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": "10.1016/j.iswcr.2023.07.008", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:15:45Z", "type": "Journal Article", "created": "2023-08-03", "title": "Towards a better understanding of pathways of multiple co-occurring erosion processes on global cropland", "description": "Soil erosion is a complex process involving multiple natural and anthropic agents, causing the deterioration of multiple components comprising soil health. Here, we provide an estimate of the spatial patterns of cropland susceptibility to erosion by sheet and rill, gully, wind, tillage, and root crops harvesting and report the co-occurrence of these processes using a multi-model approach. In addition, to give a global overview of potential future changes, we identify the locations where these multiple concurrent soil erosion processes may be expected to intersect with projected dry/wet climate changes by 2070. Of a modelled 1.48 billion hectares (B ha) of global cropland, our results indicate that 0.56\u00a0B\u00a0ha (\u223c36% of the total area) are highly susceptible (classes 4 and 5) to a single erosion process, 0.27\u00a0B\u00a0ha (\u223c18% of the total area) to two processes and 0.02\u00a0B\u00a0ha (1.4% of the total area) to three or more processes. An estimated 0.82\u00a0B\u00a0ha of croplands are susceptible to possible increases in water (0.68\u00a0B\u00a0ha) and wind (0.14\u00a0B\u00a0ha) erosion. We contend that the presented set of estimates represents a basis for enhancing our foundational knowledge on the geography of soil erosion at the global scale. The generated insight on multiple erosion processes can be a useful starting point for decision-makers working with ex-post and ex-ante policy evaluation of the UN Sustainable Development Goal 15 (Life on Land) activities. Scientifically, this work provides the hitherto most comprehensive assessment of soil erosion risks at the global scale, based on state-of-the-art models.", "keywords": ["550", "[SDV]Life Sciences [q-bio]", "multi-model approach", "pobiranje pridelka", "water", "Wind", "Modelling", "Gully", "Tillage", "modelling", "modeliranje", "11. Sustainability", "jarkovna erozija", "wind", "info:eu-repo/classification/udc/631.4", "2. Zero hunger", "Multi-model approach", "Modelling; Multi-model approach; Water; Wind; Gully; Tillage; Crop harvesting", "500", "Water", "15. Life on land", "multi-modelski pristop", "Crop harvesting", "Engineering (General). Civil engineering (General)", "[SDV] Life Sciences [q-bio]", "gully", "13. Climate action", "veter", "voda", "tillage", "crop harvesting", "TA1-2040", "erozija zaradi obdelave tal"]}, "links": [{"href": "https://doi.org/10.1016/j.iswcr.2023.07.008"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.iswcr.2023.07.008", "name": "item", "description": "10.1016/j.iswcr.2023.07.008", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.iswcr.2023.07.008"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-01T00:00:00Z"}}, {"id": "10.1016/j.jenvman.2009.12.014", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:15:48Z", "type": "Journal Article", "created": "2010-07-15", "title": "Effects Of Sandy Desertified Land Rehabilitation On Soil Carbon Sequestration And Aggregation In An Arid Region In China", "description": "The rehabilitation of sandy desertified land in semi-arid and arid regions has a great potential to increase carbon sequestration and improve soil quality. Our objective was to investigate the changes in the soil carbon pool and soil properties of surface soil (0-15 cm) under different types of rehabilitation management. Our study was done in the short-term (7 years) and long-term (32 years) desertification control sites in a marginal oasis of northwest China. The different management treatments were: (1) untreated shifting sand land as control; (2) sand-fixing shrubs with straw checkerboards; (3) poplar (Populus gansuensis) shelter forest; and (4) irrigated cropland after leveling sand dune. The results showed that the rehabilitation of severe sandy desertified land resulted in significant increases in soil organic C (SOC), inorganic C, and total N concentrations, as well as enhanced soil aggregation. Over a 7-year period of revegetation and cultivation, SOC concentration in the recovered shrub land, forest land and irrigated cropland increased by 4.1, 14.6 and 11.9 times compared to the control site (shifting sand land), and increased by 11.2, 17.0 and 23.0 times over the 32-year recovery period. Total N, labile C (KMnO(4)-oxidation C), C management index (CMI) and inorganic C (CaCO(3)-C) showed a similar increasing trend as SOC. The increased soil C and N was positively related to the accumulation of fine particle fractions. The accumulation of silt and clay, soil C and CaCO(3) enhanced the formation of aggregates, which was beneficial to mitigate wind erosion. The percentage of >0.25 mm dry aggregates increased from 18.0% in the control site to 20.0-87.2% in the recovery sites, and the mean weight diameter (MWD) of water-stable aggregates significantly increased, with a range of 0.09-0.30 mm at the recovery sites. Long-term irrigation and fertilization led to a greater soil C and N accumulation in cropland than in shrub and forest lands. The amount of soil C sequestration reached up to 1.8-9.4 and 7.5-17.3 Mg ha(-1) at the 0-15 cm layer over a 7- and 32-year rehabilitation period compared to the control site, suggesting that desertification control has a great potential for sequestering soil C and improving soil quality in northwest China.", "keywords": ["2. Zero hunger", "Carbon Sequestration", "China", "Conservation of Natural Resources", "Nitrogen", "Water", "Agriculture", "Wind", "04 agricultural and veterinary sciences", "15. Life on land", "Silicon Dioxide", "Carbon", "6. Clean water", "Trees", "Soil", "Populus", "0401 agriculture", " forestry", " and fisheries", "Desert Climate", "Particle Size"]}, "links": [{"href": "https://doi.org/10.1016/j.jenvman.2009.12.014"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jenvman.2009.12.014", "name": "item", "description": "10.1016/j.jenvman.2009.12.014", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jenvman.2009.12.014"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-11-01T00:00:00Z"}}, {"id": "10.1016/j.mex.2022.101826", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:15:53Z", "type": "Journal Article", "created": "2022-08-24", "title": "TASOW \u2013 A tool for the automated selection of potential windbreaks", "description": "Wind erosion is a process in which soil particles are detached from soils and transported downwind. One effective measure to reduce wind erosion are vegetated windbreaks such as hedgerows as they reduce wind speeds and likewise the forces which detach and transport soil particles. However, the planting of new windbreaks is driven by policy decisions as well as planning considerations. To get an initial idea of potential locations for new windbreaks, we present an automated routine as a model in ESRI ArcGIS Pro to propose plantation locations. The main input to the model is a wind erosion risk map. The results are potential locations for windbreaks that are ranked according to their suitability. The model parameters are adjustable, transferable to other regions and can be altered by to the user's needs.\u2022Limit the wind erosion risk map to the most prone fields\u2022Selection of unprotected sites perpendicular to the main wind direction\u2022Suggestions for suitable sites for the potential planting of new windbreaks.", "keywords": ["Risk", "RWEQ", "Ecosystem service", "Science", "Q", "Soil protection", "04 agricultural and veterinary sciences", "Method Article", "15. Life on land", "01 natural sciences", "Wind erosion", "Land use", "0401 agriculture", " forestry", " and fisheries", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.mex.2022.101826"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/MethodsX", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.mex.2022.101826", "name": "item", "description": "10.1016/j.mex.2022.101826", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.mex.2022.101826"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.1016/j.probengmech.2020.103035", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:15:56Z", "type": "Journal Article", "created": "2020-02-12", "title": "Multivariate GP-VAR models for robust structural identification under operational variability", "description": "Open AccessISSN:0266-8920", "keywords": ["Gaussian Process (GPs) Vector AutoRegressive (GP-VAR) models", "Wind energy infrastructure", "0202 electrical engineering", " electronic engineering", " information engineering", "Environmental and Operational Variability (EOV)", "Structural Health Monitoring (SHM)", "02 engineering and technology", "Data-driven condition assessment", "0201 civil engineering"], "contacts": [{"organization": "Avenda\u00f1o-Valencia, Luis David, Chatzi, Eleni N.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.probengmech.2020.103035"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Probabilistic%20Engineering%20Mechanics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.probengmech.2020.103035", "name": "item", "description": "10.1016/j.probengmech.2020.103035", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.probengmech.2020.103035"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-04-01T00:00:00Z"}}, {"id": "10.1016/j.proeng.2017.09.509", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:15:56Z", "type": "Journal Article", "created": "2017-09-12", "title": "Fatigue assessment of a wind turbine blade when output from multiple aero-elastic simulators are available", "description": "Open AccessAero-elasticity is a term that refers to the interaction between the aerodynamic, inertial and elastic loads when a structure is exposed to fluid flow such as turbulent wind inflow. Various commercial and research-based simulators are available to compute the wind turbine aero-elastic loads. These aero-elastic simulators are of varying complexity and might bear different underlying assumptions, pertaining to physics, mathematical and computational formulations. However, currently established practice dictates that the adopted aero-elastic simulators are verified and validated on the basis of measurements from test wind turbines. As a result, it is generally hard to establish one simulator as superior to another in terms of their predicted output. The objective in this paper is to statistically aggregate the fatigue load on a wind turbine blade when simultaneous simulations are performed using multiple simulators. The simulators of the wind turbine blade are of varying fidelity, and uncertainty in the modelling and assumptions on the model inputs are implicitly included, and taken into account in the statistical analysis. The main concept followed here is that rather than treating the output of the simulators as individual information sources, we consider them as part of an ensemble, which can be clustered and then aggregated to predict the \u201cmost likely\u201d fatigue load, hence reducing the inherent model-form uncertainty.", "keywords": ["Finite elements", "Uncertainty", "Wind turbine; Aeroelasticity; Uncertainty; Fatigue; Ensemble Aggregation; Data fusion; Finite elements; Machine learning", "02 engineering and technology", "Data fusion", "7. Clean energy", "01 natural sciences", "0201 civil engineering", "Ensemble Aggregation", "Machine learning", "Aeroelasticity", "0101 mathematics", "Wind turbine", "Fatigue"]}, "links": [{"href": "https://doi.org/10.1016/j.proeng.2017.09.509"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Procedia%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.proeng.2017.09.509", "name": "item", "description": "10.1016/j.proeng.2017.09.509", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.proeng.2017.09.509"}, {"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": "10.1016/j.renene.2021.02.003", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:15:57Z", "type": "Journal Article", "created": "2020-11-05", "title": "Virtual fatigue diagnostics of wake-affected wind turbine via Gaussian Process Regression", "description": "<p>We propose a data-driven model to predict the short-term fatigue Damage Equivalent Loads (DEL) on a wake-affected wind turbine based on wind field inflow sensors and/or loads sensors deployed on an adjacent up-wind wind turbine. Gaussian Process Regression (GPR) with Bayesian hyperparameters calibration is proposed to obtain a surrogate from input random variables to output DELs in the blades and towers of the up-wind and wake-affected wind turbines. A sensitivity analysis based on the hyperparameters of the GPR and Kullback-Leibler divergence is conducted to assess the effect of different input on the obtained DELs. We provide qualitative recommendations for a minimal set of necessary and sufficient input random variables to minimize the error in the DEL predictions on the wake-affected wind turbine. Extensive simulations are performed comprising different random variables, including wind speed, turbulence intensity, shear exponent and inflow horizontal skewness. Furthermore, we include random variables related to the blades lift and drag coefficients with direct impact on the rotor aerodynamic induction, which governs the evolution and transport of the meandering wake. In addition, different spacing between the wind turbines and W\u00f6hler exponents for calculation of DELs are considered. The maximum prediction normalized mean squared error, obtained in the tower base DELs in the fore-aft direction of the wake affected wind turbine, is less than 4%. In the case of the blade root DELs, the overall prediction error is less than 1%. The proposed scheme promotes utilization of sparse structural monitoring (loads) measurements for improving diagnostics on wake-affected turbines.</p>", "keywords": ["bepress|Physical Sciences and Mathematics|Physics|Engineering Physics", "engrXiv|Engineering|Risk Analysis", "engrXiv|Engineering|Other Engineering", "bepress|Engineering", "engrXiv|Engineering|Mechanical Engineering|Fluid Mechanics", "bepress|Engineering|Mechanical Engineering", "engrXiv|Engineering|Mechanical Engineering", "bepress|Engineering|Mechanical Engineering|Applied Mechanics", "Gaussian Process Regression", "02 engineering and technology", "7. Clean energy", "Virtual sensing", "wind turbine", "bepress|Engineering|Computational Engineering", "engrXiv|Engineering|Civil and Environmental Engineering", "0202 electrical engineering", " electronic engineering", " information engineering", "uncertainty", "Fatigue", "wake", "engrXiv|Engineering|Civil and Environmental Engineering|Structural Engineering", "Uncertainty", "engrXiv|Engineering|Mechanical Engineering|Applied Mechanics", "Bayesian Calibration", "engrXiv|Engineering|Engineering Physics", "bepress|Engineering|Risk Analysis", "engrXiv|Engineering", "bepress|Engineering|Civil and Environmental Engineering", "engrXiv|Engineering|Computational Engineering", "Wake", "bepress|Engineering|Aerospace Engineering|Aerodynamics and Fluid Mechanics", "bepress|Engineering|Civil and Environmental Engineering|Structural Engineering", "fatigue", "bepress|Engineering|Other Engineering", "Sensitivity analysis", "Wind turbine", "Bayesian Gaussian process regression"]}, "links": [{"href": "https://doi.org/10.1016/j.renene.2021.02.003"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Renewable%20Energy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.renene.2021.02.003", "name": "item", "description": "10.1016/j.renene.2021.02.003", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.renene.2021.02.003"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-11-05T00:00:00Z"}}, {"id": "10.1016/j.soilbio.2021.108497", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:16:14Z", "type": "Journal Article", "created": "2021-11-28", "title": "Co-localised phosphorus mobilization processes in the rhizosphere of field-grown maize jointly contribute to plant nutrition", "description": "Abstract   Understanding phosphorus (P) dynamics in the rhizosphere is crucial for sustainable crop production. P mobilization processes in the rhizosphere include the release of plant and microbially-derived protons and extracellular phosphatases. We investigated the effect of root hairs and soil texture on the spatial distribution and intensity of P mobilizing processes in the rhizosphere of Zea mays L. root-hair defective mutant (rth3) and wild-type (WT) grown in two substrates (loam, sand). We applied 2D-chemical imaging methods in custom-designed root windows installed in the field to visualize soil pH (optodes), acid phosphatase activity (zymography), and labile P and Mn fluxes (diffusive gradients in thin films, DGT).  The average rhizosphere extent for phosphatase activity and pH was greater in sand than in loam, while the presence of root-hairs had no impact. Acidification was significantly stronger at young root tissue ( 4\u202fcm from root cap) and stronger in WT than rth3. Accompanied with stronger acidification, higher P flux was observed mainly around young, actively growing root tissues for both genotypes. Our results indicate that acidification was linked to root growth and created a pH optimum for acid phosphatase activity, i.e., mineralization of organic P, especially at young root tissues which are major sites of P uptake. Both genotypes grew better in loam than in sand; however, the presence of root hairs generally resulted in higher shoot P concentrations and greater shoot biomass of WT compared to rth3. We conclude that soil substrate had a larger impact on the extent and intensity of P solubilization processes in the rhizosphere of maize than the presence of root hairs. For the first time, we combined 2D-imaging of soil pH, phosphatase activity, and nutrient gradients in the field and demonstrated a novel approach of stepwise data integration revealing the interplay of various P solubilizing processes in situ.", "keywords": ["[SDV.SA]Life Sciences [q-bio]/Agricultural sciences", "580", "2. Zero hunger", "0106 biological sciences", "[SDV.SA] Life Sciences [q-bio]/Agricultural sciences", "Soil zymography", "04 agricultural and veterinary sciences", "Diffusive gradients in thin films (DGT)", "15. Life on land", "01 natural sciences", "630", "Planar pH optodes", "Root window", "Soil texture", "[SDV.BV]Life Sciences [q-bio]/Vegetal Biology", "0401 agriculture", " forestry", " and fisheries", "Root hairs", "[SDV.BV] Life Sciences [q-bio]/Vegetal Biology"]}, "links": [{"href": "https://doi.org/10.1016/j.soilbio.2021.108497"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Biology%20and%20Biochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.soilbio.2021.108497", "name": "item", "description": "10.1016/j.soilbio.2021.108497", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soilbio.2021.108497"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-01T00:00:00Z"}}, {"id": "10.5281/zenodo.4896835", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:20:48Z", "type": "Report", "title": "Virtual loads predictions of wake-affected wind turbines: Gaussian process regression and deep neural networks", "description": "Load analysis of wind turbines may be performed either via physics-based models or via direct measurement. On the first case, loads are calculated with aero-elastic models, based on significant assumptions on the mechanical and aeroelastic properties of the structure and the acting forces (wind, wave and control). Otherwise, loads can be directly measured based on a sensor network, which entails increased costs due to installation, maintenance and calibration of sensors and IT infrastructure. These costs can be manageable for a single wind turbine but become substantial on densely instrumented wind farms. In turn, the increased costs negatively affect the levelized cost of energy. This is, in fact, the main reason why stakeholders shy away from applying monitoring technologies in wind farms. To overcome the above challenges, we need an alternative way of estimating the loads which would involve a reduced number of sensors while replicating the actual load measurement scenario. To this end, we propose data-driven models to predict the loads acting on different components of a wind turbine. These models use SCADA, wind inflow and other variables to predict loads in components of interest of a wind turbine. We have already successfully demonstrated this concept in the past on simulated wind turbine Damage Equivalent Loads (DELs) based on Gaussian Process regression [1,2], and on real wind turbine data [3]. In this work, we validate this approach on actual wind turbine data from the Alpha Ventus Wind Farm obtained within the framework of the Research Alpha Ventus (RAVE) project. Two Senvion turbines are selected for this study. One of the wind turbines is used to train and validate a regression model to predict the tower base DELs based on SCADA, wind inflow and other environmental variables. Afterwards, the trained model is used to predict the loads in the second wind turbine. Load prediction is attained with two machine learning methods, the first one based on Gaussian Process Regression (GPR) and the second one based on Artificial Neural Networks (ANN). For the first one, a decision tree is used to separate the different operating modes of the wind turbine (idling, operating and transitioning). The decision tree is built on simple heuristics on a subset of SCADA variables (mean and standard deviation of the rotor RPM and blade pitch angle). Subsequently, a GPR is built for each one of the operating modes. In the second method, the SCADA variables are fed to the ANN after undergoing an initial transformation for data compression and collinearity reduction.", "keywords": ["machine learning", "structural health monitoring", "13. Climate action", "wind turbines", "virtual sensing", "7. Clean energy"], "contacts": [{"organization": "Avenda\u00f1o-Valencia, Luis David, Abdallah, Imad, Venu, Anish, Chatzi, Eleni,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.4896835"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.4896835", "name": "item", "description": "10.5281/zenodo.4896835", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.4896835"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.1029/2020gl092238", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:16:41Z", "type": "Journal Article", "created": "2021-04-19", "title": "Revealing the Morning Transition in the Mountain Boundary Layer Using Fiber\u2010Optic Distributed Temperature Sensing", "description": "Abstract<p>In the morning, the nocturnal stable boundary layer, SBL, transitions into its daytime convective counterpart substantially impacting the distribution of temperature, humidity, and pollutants. Applying distributed temperature sensing (DTS) below a tethered balloon (2\uffe2\uff80\uff93200\uffc2\uffa0m) and along a tower (0\uffe2\uff80\uff9311\uffc2\uffa0m), for the first time we observed three morning transitions (MTs) in a mountain boundary layer with high temporal (&lt;10\uffc2\uffa0s) and spatial (&lt;0.25\uffc2\uffa0m) resolutions. We show that MTs are best derived from a change in static stability from synchronous DTS observations. Our findings confirm that the MT occurs at the SBL top and bottom simultaneously, and identify horizontal heat advection as a main driver aiding solar surface heating in this midrange mountain valley. We conclude that heterogenous land use and mountainous topography cause complex interactions between valley\uffe2\uff80\uff90scale and local airflows leading to thermal signatures characterized by strong, small\uffe2\uff80\uff90scale variability. Our study highlights DTS as a crucial tool for investigating complex thermodynamic processes.</p>", "keywords": ["550", "13. Climate action", "0207 environmental engineering", "500", "boundary layer", " cold-air pool", " distributed temperature sensing", " morning transition", " mountainous terrain", " weak wind", "02 engineering and technology", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2020GL092238"}, {"href": "https://doi.org/10.1029/2020gl092238"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geophysical%20Research%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2020gl092238", "name": "item", "description": "10.1029/2020gl092238", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2020gl092238"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-10T00:00:00Z"}}, {"id": "10.1029/2023jd040657", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:16:42Z", "type": "Journal Article", "created": "2024-06-11", "title": "Impact of Dust Source Patchiness on the Existence of a Constant Dust Flux Layer During Aeolian Erosion Events", "description": "Abstract<p>Dust emission fluxes during wind soil erosion are usually estimated using a dust concentration vertical gradient, by assuming a constant dust flux layer between the surface and the dust measurement levels. Here, we investigate the existence of this layer during erosion events recorded in Iceland and Jordan. Size\uffe2\uff80\uff90resolved dust fluxes were estimated at three levels between 2 and 4\uffc2\uffa0m using the eddy\uffe2\uff80\uff90covariance method. Dust fluxes were found mainly constant only between the two upper levels in Iceland, the lower dust flux being often stronger and richer in coarse particles, while dust fluxes in Jordan were nearly constant across all levels. The wind dynamics could not explain the absence of a constant dust flux layer in Iceland. We show that the presence of stationary dust source patches in Iceland, related to surface humidity, created a non\uffe2\uff80\uff90uniform dust layer near the surface, named dust roughness sublayer (DRSL), where individual plumes behind each patch interact but do not fully mix. The lowest dust measurement level was probably located within this sublayer while the upper ones were located above, such that there the emitted dust became spatially well\uffe2\uff80\uff90mixed. This explains near the surface in Iceland, the more intermittent dust concentration, its low correlation with the dust concentrations above, and the richer dust flux in coarse particles due to their lower deposition contribution. Our findings highlight the importance of estimating dust fluxes above a dust blending height whose characteristics depend on the dust source patchiness caused by surface humidity or the presence of sparse non\uffe2\uff80\uff90erosive elements.</p", "keywords": ["[SDE] Environmental Sciences", "Aeolian erosion events", "550", "dust flux", "Soil wind erosion", "Ensure access to affordable", " reliable", " sustainable and modern energy for all", "Dust flux layer", "0207 environmental engineering", "02 engineering and technology", "Constant flux layer", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida", "551", "01 natural sciences", "Make cities and human settlements inclusive", " safe", " resilient and sustainable", "Dust flux", "Simulaci\u00f3 per ordinador", "Atmospheric surface layer", "size distribution", "Climate science", "500 Naturwissenschaften und Mathematik::550 Geowissenschaften", " Geologie::551 Geologie", " Hydrologie", " Meteorologie", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "ddc:550", "Size distribution", "15. Life on land", "520", "Physical sciences", "Earth sciences", "13. Climate action", "[SDE]Environmental Sciences", "Soil erosion", "soil wind erosion", "constant flux layer"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2023JD040657"}, {"href": "https://hal.inrae.fr/hal-04618242/file/JGR%20Atmospheres%20-%202024%20-%20Dupont%20-%20Impact%20of%20Dust%20Source%20Patchiness%20on%20the%20Existence%20of%20a%20Constant%20Dust%20Flux%20Layer%20During.pdf"}, {"href": "https://doi.org/10.1029/2023jd040657"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Atmospheres", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2023jd040657", "name": "item", "description": "10.1029/2023jd040657", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2023jd040657"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-11T00:00:00Z"}}, {"id": "10.1201/9781351174664-382", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:17:59Z", "type": "Report", "created": "2018-12-15", "title": "Fault diagnosis of wind turbine structures using decision tree learning algorithms with big data", "description": "Open AccessSafety and Reliability \u2013 Safe Societies in a Changing World", "keywords": ["0202 electrical engineering", " electronic engineering", " information engineering", "02 engineering and technology", "7. Clean energy", "Decision tree learning for big data on wind turbines"]}, "links": [{"href": "https://doi.org/10.1201/9781351174664-382"}, {"rel": "self", "type": "application/geo+json", "title": "10.1201/9781351174664-382", "name": "item", "description": "10.1201/9781351174664-382", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1201/9781351174664-382"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-06-15T00:00:00Z"}}, {"id": "10.1175/jtech-d-21-0019.1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:17:57Z", "type": "Journal Article", "created": "2021-09-13", "title": "Distributed sensing of wind direction using fiber-optic cables", "description": "Abstract<p>In the atmospheric boundary layer, phenomena exist with challenging properties such as spatial heterogeneity, particularly during stable weak wind situations. Studying spatially heterogeneous features requires spatially distributed measurements on fine spatial and temporal scales. Fiber-Optic Distributed Sensing (FODS) can provide spatially distributed measurements, simultaneously offering a spatial resolution on the order of decimeters and a temporal resolution on the order of seconds. While FODS has already been deployed to study various variables, FODS wind direction sensing has only been demonstrated in idealized wind tunnel experiments. We present the first distributed observations of FODS wind directions from field data. The wind direction sensing is accomplished by using pairs of actively heated fiber optic cables with cone-shaped microstructures attached to them. Here we present three different methods of calculating wind directions from the FODS measurements, two based on using combined wind speed and direction information and one deriving wind direction independently from FODS wind speed. For each approach, the effective temporal and spatial resolution is quantified using spectral coherence. With each method of calculating wind directions, temporal resolutions on the order of tens of seconds can be achieved. The accuracy of FODS wind directions was evaluated against a sonic anemometer, showing deviations of less than 15\uffc2\uffb0 most of the time. The applicability of FODS for wind direction measurements in different environmental conditions is tested by analysing the dependence of FODS wind direction accuracy and observable scales on environmental factors. Finally, we demonstrate the potential of this technique by presenting a period that displays spatial and temporal structures in the wind direction.</p>", "keywords": ["Spectral analysis/models/distribution", "550", "Atmosphere", "0207 environmental engineering", "Distributed Temperature Sensing", "02 engineering and technology", "Field experiments", "Wind effects", "530", "01 natural sciences", "Turbulence", "13. Climate action", "Atmosphere-land interaction", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Freundorfer, Anita, Lapo, Karl, Schneider, Johann, Thomas, Christoph K.,", "roles": ["creator"]}]}, "links": [{"href": "https://journals.ametsoc.org/downloadpdf/journals/atot/aop/JTECH-D-21-0019.1/JTECH-D-21-0019.1.xml"}, {"href": "https://doi.org/10.1175/jtech-d-21-0019.1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Atmospheric%20and%20Oceanic%20Technology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1175/jtech-d-21-0019.1", "name": "item", "description": "10.1175/jtech-d-21-0019.1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1175/jtech-d-21-0019.1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-13T00:00:00Z"}}, {"id": "10.17221/9/2008-swr", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:18:19Z", "type": "Journal Article", "created": "2018-02-11", "title": "The Impact Of Windthrow And Fire Disturbances On Selected Soil Properties In The Tatra National Park", "description": ": In November 2004, forest stands in the Tatra National Park (TANAP) were affected by windthrow and in July 2005, the wildfire broke out on a part of the affected area. The objective of this study is to evaluate the impact of the windthrow and fire disturbances on soil microbial activity. Basal and potential soil respiration, N-mineralisation, catalase activity, soil microbial biomass, and cellulase activity were measured in soil samples taken from the A-horizon (depth of 0-10 cm) along 100 m transects established on 4 plots (reference site, burnt, non-extracted, and extracted sites) in October 2006. Some soil microbial characteristics exhibited a high spatial variability, especially microbial biomass and N-mineralisation. Significant differences in soil microbial characteristics (especially basal soil respiration and catalase activity) between plots were found. Generally, the highest microbial activity was revealed on the plot affected by fire. Soil microbial activity was similar on the extracted and non-extracted sites.", "keywords": ["0106 biological sciences", "windthrow", "S", "0401 agriculture", " forestry", " and fisheries", "Agriculture", "04 agricultural and veterinary sciences", "forest soil", "microbial activity", "01 natural sciences", "wildfire", "spruce stands"]}, "links": [{"href": "https://doi.org/10.17221/9/2008-swr"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20and%20Water%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.17221/9/2008-swr", "name": "item", "description": "10.17221/9/2008-swr", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.17221/9/2008-swr"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-12-31T00:00:00Z"}}, {"id": "10.2749/vancouver.2017.0809", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:18:53Z", "type": "Journal Article", "created": "2021-02-09", "title": "Surrogate Modelling For Fatigue Damage of Wind-Turbine Blades Using Polynomial Chaos Expansions and Non-Negative Matrix Factorization", "description": "<p><p>A computational approach for the estimation of fatigue degradation of composite wind turbine blades by means of time domain aero-servo-elastic simulations is proposed. Wind turbine blades are subjected throughout their lifetime to highly stochastic loading. Fatigue damage of the composite reinforcement of the wind turbine blades has been identified early on in the wind turbine design practice as a factor driving design. A simple fatigue accumulation model is utilized for the spar cap reinforcement of a wind-turbine blade. Non-Negative Matrix Factorization (<b>NMF</b>) for the damage accumulation random field is used for dimensionality reduction. An approximate computationally efficient model, relying on Polynomial Chaos Expansion (<b>PCE</b>) of the damage state with respect to probabilistically modelled mean wind and turbulence intensity is derived. The framework is exemplified in a case-study of a 1.5MW wind turbine.</p></p>", "keywords": ["thin walled composite beam", "Composite fatigue", "long term fatigue assessment", "Aero-elastic simulation", "Gram-Schmidt PCE", "Wind Turbine", "0202 electrical engineering", " electronic engineering", " information engineering", "fatigue degradation", "NMF", "02 engineering and technology", "7. Clean energy", "0201 civil engineering"], "contacts": [{"organization": "Mylonas, Charilaos, Abdallah, Imad, Chatzi, Eleni,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.2749/vancouver.2017.0809"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/IABSE%20Reports", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2749/vancouver.2017.0809", "name": "item", "description": "10.2749/vancouver.2017.0809", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2749/vancouver.2017.0809"}, {"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": "10.3390/ijerph20010198", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:05Z", "type": "Journal Article", "created": "2022-12-23", "title": "The Impact of Residences and Roads on Wind Erosion in a Temperate Grassland Ecosystem: A Spatially Oriented Perspective", "description": "<p>The existence of residences and roads is an important way in which human activity affects wind erosion in arid and semiarid environments. Studies assessing the impact of these elements on wind erosion have only focused on limited plots, and their threat of erosion to the surrounding environment has been ignored by many studies. This study was based on spatially overlayed analysis of independent wind erosion distribution simulated by the revised wind erosion equation (RWEQ) and remote-sensing-image-derived residence and road distribution data. Wind erosion at different distances from residences and roads was quantified at the landscape scale of a typical temperate grassland ecosystem, explicitly demonstrating the crucial impacts of both elements on wind erosion. The results showed that wind erosion weakened as the distance from residences and roads increased due to the priority pathways of human activities, and the wind erosion around the residence was more severe than around the road. Human activities in the buffer zones 0\uffe2\uff80\uff93200 m from the residences most frequently caused severe wind erosion, with a wind soil loss of 25 t ha\uffe2\uff88\uff921 yr\uffe2\uff88\uff921 and a wind soil loss of approximately 5.25 t ha\uffe2\uff88\uff921 yr\uffe2\uff88\uff921 for 0\uffe2\uff80\uff9360 m from the roads. The characteristics of wind erosion variation in the buffer zones were also affected by residence size and the environments in which the residences were located. The variation in wind erosion was closely related to the road levels. Human activities intensified wind erosion mainly by affecting the soil and vegetation around residences and roads. Ecological management should not be limited to residences and roads but should also protect the surrounding environments. The findings of this study are aimed towards a spatial perspective that can help implement rational and effective environmental management measures for the sustainability of wind-eroded ecosystems.</p>", "keywords": ["2. Zero hunger", "Conservation of Natural Resources", "Residence", "Temperate grassland", "Wind", "04 agricultural and veterinary sciences", "15. Life on land", "Grassland", "Article", "wind erosion; residence; road; temperate grassland; ecosystem management", "Road", "Soil", "13. Climate action", "Wind erosion", "11. Sustainability", "Humans", "0401 agriculture", " forestry", " and fisheries", "Ecosystem management", "Ecosystem", "Environmental Monitoring"], "contacts": [{"organization": "Zhuoli Zhou, Zhuodong Zhang, Wenbo Zhang, Jianyong Luo, Keli Zhang, Zihao Cao, Zhiqiang Wang,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/1660-4601/20/1/198/pdf"}, {"href": "https://www.mdpi.com/1660-4601/20/1/198/pdf"}, {"href": "https://doi.org/10.3390/ijerph20010198"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Environmental%20Research%20and%20Public%20Health", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/ijerph20010198", "name": "item", "description": "10.3390/ijerph20010198", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/ijerph20010198"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-23T00:00:00Z"}}, {"id": "10.3390/s17040720", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:12Z", "type": "Journal Article", "created": "2017-03-30", "title": "A Data-Driven Diagnostic Framework for Wind Turbine Structures: A Holistic Approach", "description": "<p>The complex dynamics of operational wind turbine (WT) structures challenges the applicability of existing structural health monitoring (SHM) strategies for condition assessment. At the center of Europe\uffe2\uff80\uff99s renewable energy strategic planning, WT systems call for implementation of strategies that may describe the WT behavior in its complete operational spectrum. The framework proposed in this paper relies on the symbiotic treatment of acting environmental/operational variables and the monitored vibration response of the structure. The approach aims at accurate simulation of the temporal variability characterizing the WT dynamics, and subsequently at the tracking of the evolution of this variability in a longer-term horizon. The bi-component analysis tool is applied on long-term data, collected as part of continuous monitoring campaigns on two actual operating WT structures located in different sites in Germany. The obtained data-driven structural models verify the potential of the proposed strategy for development of an automated SHM diagnostic tool.</p>", "keywords": ["operational spectrum", "Chemical technology", "time varying autoregressive moving average (TV-ARMA) models", "Operational spectrum", "wind turbines; data-driven framework; uncertainty propagation; operational spectrum; time varying autoregressive moving average (TV-ARMA) models; polynomial chaos expansion (PCE)", "Data-driven framework", "uncertainty propagation", "TP1-1185", "02 engineering and technology", "7. Clean energy", "data-driven framework", "Article", "0201 civil engineering", "13. Climate action", "wind turbines", "polynomial chaos expansion (PCE)", "Uncertainty propagation", "Wind turbines", "Data-driven framework; Operational spectrum; Polynomial chaos expansion (PCE); Time varying autoregressive moving average (TV-ARMA) models; Uncertainty propagation; Wind turbines", "Polynomial chaos expansion (PCE)", "Time varying autoregressive moving average (TV-ARMA) models"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/17/4/720/pdf"}, {"href": "https://doi.org/10.3390/s17040720"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sensors", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/s17040720", "name": "item", "description": "10.3390/s17040720", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/s17040720"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-03-30T00:00:00Z"}}, {"id": "10.3929/ethz-b-000482924", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:19Z", "type": "Journal Article", "created": "2021-05-03", "title": "Vibration\u2010based monitoring of a small\u2010scale wind turbine blade under varying climate and operational conditions. Part II: A numerical benchmark", "description": "Open AccessThis paper constitutes the numerical companion of the experimental work on vibration-based monitoring of a small-scale wind turbine (WT) blade. In this second part, a numerical benchmark is established for condition assessmentof a Windspot 3.5-kW WT blade. The aim is to supplement the companion experimental work with a physical model exposed to diverse operational conditions, loading scenarios, and damage patterns that are not easily explorable and controllable in the laboratory. To this end, a finite element (FE) model of the considered blade is developed and subjected to a number of artificial damage scenarios, which are dynamically tested under both environmental and operational variability. The paper offers a detailed description of the numerical benchmark and the underlying assumptions, as well as the spectrum of operational conditions, the measured quantities, and the wind load model. Finally, we provide an overview and demonstration of the stand-alone application for time history analysis and generation of synthetic vibration data, which is made available via an open-access code in Sonkyo-Benchmark repository", "keywords": ["condition assessment", "structural health monitoring", "operational and environmental variability", "13. Climate action", "0202 electrical engineering", " electronic engineering", " information engineering", "wind turbine blade", "02 engineering and technology", "numerical benchmark", "condition assessment; damage detection; numerical benchmark; operational and environmental variability; structural health monitoring; system identification; wind turbine blade", "7. Clean energy", "damage detection", "system identification"]}, "links": [{"href": "https://doi.org/10.3929/ethz-b-000482924"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Structural%20Control%20and%20Health%20Monitoring", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3929/ethz-b-000482924", "name": "item", "description": "10.3929/ethz-b-000482924", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3929/ethz-b-000482924"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-03T00:00:00Z"}}, {"id": "10.5194/acp-20-55-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:34Z", "type": "Journal Article", "created": "2020-01-03", "title": "Retrieving the global distribution of the threshold of wind erosion from satellite data and implementing it into the Geophysical Fluid Dynamics Laboratory land\u2013atmosphere model (GFDL AM4.0/LM4.0)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Dust emission is initiated when surface wind velocities exceed the threshold of wind erosion. Many dust models used constant threshold values globally. Here we use satellite products to characterize the frequency of dust events and land surface properties. By matching this frequency derived from Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue aerosol products with surface winds, we are able to retrieve a climatological monthly global distribution of the wind erosion threshold (Vthreshold) over dry and sparsely vegetated surfaces. This monthly two-dimensional threshold velocity is then implemented into the Geophysical Fluid Dynamics Laboratory coupled land\u2013atmosphere model (AM4.0/LM4.0). It is found that the climatology of dust optical depth (DOD) and total aerosol optical depth, surface PM10 dust concentrations, and the seasonal cycle of DOD are better captured over the \u201cdust belt\u201d (i.e., northern Africa and the Middle East) by simulations with the new wind erosion threshold than those using the default globally constant threshold. The most significant improvement is the frequency distribution of dust events, which is generally ignored in model evaluation. By using monthly rather than annual mean Vthreshold, all comparisons with observations are further improved. The monthly global threshold of wind erosion can be retrieved under different spatial resolutions to match the resolution of dust models and thus can help improve the simulations of dust climatology and seasonal cycles as well as dust forecasting.                     </p></article>", "keywords": ["[SDE] Environmental Sciences", "Climatology", "Mineral dusts", ":Desenvolupament hum\u00e0 i sostenible::Medi ambient [\u00c0rees tem\u00e0tiques de la UPC]", "550", "Erosi\u00f3 e\u00f2lica", "Physics", "QC1-999", "01 natural sciences", "Dust emission", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Medi ambient", "Chemistry", "Pols -- Control", "MODIS (Spectroradiometer)", "13. Climate action", "Climatologia", "Wind erosion", "Dust optical depth (DOD)", "QD1-999", "Dust control", "Geophysical Fluid Dynamics", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://acp.copernicus.org/articles/20/55/2020/acp-20-55-2020.pdf"}, {"href": "https://www.atmos-chem-phys.net/20/55/2020/acp-20-55-2020-supplement.pdf"}, {"href": "https://doi.org/10.5194/acp-20-55-2020"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/acp-20-55-2020", "name": "item", "description": "10.5194/acp-20-55-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/acp-20-55-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-03T00:00:00Z"}}, {"id": "10.5194/essd-2020-392", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:42Z", "type": "Journal Article", "created": "2022-02-24", "title": "The Large-eddy Observatory Voitsumra Experiment 2019 (LOVE19) with high-resolution, spatially-distributed observations of air temperature, wind speed, and wind direction from fiber-optic distributed sensing, towers, and ground-based remote sensing", "description": "<p>Abstract. The weak-wind stable boundary layer (wwSBL) is poorly described by theory and breaks basic assumptions necessary for observations of turbulence. Understanding the wwSBL requires distributed observations capable of separating between sub-mesoscales and turbulent scales. To this end, we present the Large eddy Observatory, Voitsumra Experiment 2019 (LOVE19) which featured 2105\uffe2\uff80\uff89m of fiber-optic distributed sensing (FODS) of air temperature and wind speed, as well as an experimental wind direction method, at scales as fine as 1\uffe2\uff80\uff89s and 0.127\uffe2\uff80\uff89m in addition to a suite of point observations of turbulence and ground-based remote sensing profiling. Additionally, flights with a fiber-optic cable attached to a tethered balloon (termed FlyFOX, Flying Fiber Optics eXperiment) provide an unprecedentedly detailed view of the boundary layer structure with a resolution of 0.254\uffe2\uff80\uff89m and 10\uffe2\uff80\uff89s between 1 and 200\uffe2\uff80\uff89m height. Two examples are provided, demonstrating the unique capabilities of the LOVE19 data for examining boundary layer processes: (1) FODS observations between 1 and 200\uffe2\uff80\uff89m height during a period of gravity waves propagating across the entire boundary layer and (2) tracking a near-surface, transient, sub-mesoscale structure that causes an intermittent burst of turbulence. All data can be accessed at Zenodo through the DOI https://doi.org/10.5281/zenodo.4312976 (Lapo et\uffc2\uffa0al.,\uffc2\uffa02020a).                     </p>", "keywords": ["QE1-996.5", "550", "weak wind transport", "Atmospheric turbulence", "500", "Geology", "7. Clean energy", "01 natural sciences", "Environmental sciences", "complex terrain", "morning transition", "submeso-scale motions", "13. Climate action", "GE1-350", "stable boundary layers", "fiber optic distributed sensing", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://essd.copernicus.org/articles/14/885/2022/essd-14-885-2022.pdf"}, {"href": "https://doi.org/10.5194/essd-2020-392"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%20System%20Science%20Data", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/essd-2020-392", "name": "item", "description": "10.5194/essd-2020-392", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/essd-2020-392"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-19T00:00:00Z"}}, {"id": "10.5281/zenodo.10624293", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:49Z", "type": "Dataset", "title": "Database of soil vulnerability to natural forest disturbances", "description": "The data in this repository relate to evidence synthesis projects which aim to assess the impacts of different natural disturbances, such as fire and precipitation changes on forest soils. This work was carried out as part of the Holisoils project funded by EU Horizon 2020 program (EU Horizon 2020 Grant Agreement No 101000289).", "keywords": ["forest", "precipitation reductions", "windthrow", "precipitation increases", "natural disturbances", "soil biodiversity", "drought", "precipitation change", "insect pest", "fire"], "contacts": [{"organization": "Martin, Philip", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10624293"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10624293", "name": "item", "description": "10.5281/zenodo.10624293", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10624293"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-06T00:00:00Z"}}, {"id": "10449/85395", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:21:47Z", "type": "Report", "title": "Climate change and one health: post-Vaia windthrow as new hotspot for forest zoonoses", "keywords": ["Windstorm", "Ixodes ricinus", "Small mammals", "Zoonotic pathogens", "Italian Alps", "One Health"]}, "links": [{"href": "https://openpub.fmach.it/bitstream/10449/85395/2/2024%20Biodiversity%20change%20Ferrari%2053.pdf"}, {"href": "https://doi.org/10449/85395"}, {"rel": "self", "type": "application/geo+json", "title": "10449/85395", "name": "item", "description": "10449/85395", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10449/85395"}, {"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": "10.5281/zenodo.3474632", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:20:43Z", "type": "Journal Article", "title": "Probabilistic fault diagnostics using ensemble time-varying decision tree learning", "description": "Probabilistic fault diagnostics using ensemble time-varying decision tree learning on wind turbines. Simulations using Simulink and an embedded FAST aeroelastic model of the 5MW reference wind turbine. Error cases: (1) No Error, (2) Yaw Error, Corrected, (3) Yaw Error, yaw actuator stuck, (4) Pitch angle sensor, stuck at constant value of 5 deg.", "keywords": ["Fault diagnostics", "Machine learning", "Wind turbines", "Decision tree", "7. Clean energy"], "contacts": [{"organization": "Abdallah, Imad, Dertimanis, Vasilis, Chatzi, Eleni,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3474632"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/EMI%202019%20-%20Engineering%20Mechanics%20Institute%20Conference", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3474632", "name": "item", "description": "10.5281/zenodo.3474632", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3474632"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "11590/469721", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:21:59Z", "type": "Journal Article", "created": "2023-08-03", "title": "Towards a better understanding of pathways of multiple co-occurring erosion processes on global cropland", "description": "Soil erosion is a complex process involving multiple natural and anthropic agents, causing the deterioration of multiple components comprising soil health. Here, we provide an estimate of the spatial patterns of cropland susceptibility to erosion by sheet and rill, gully, wind, tillage, and root crops harvesting and report the co-occurrence of these processes using a multi-model approach. In addition, to give a global overview of potential future changes, we identify the locations where these multiple concurrent soil erosion processes may be expected to intersect with projected dry/wet climate changes by 2070. Of a modelled 1.48 billion hectares (B ha) of global cropland, our results indicate that 0.56\u00a0B\u00a0ha (\u223c36% of the total area) are highly susceptible (classes 4 and 5) to a single erosion process, 0.27\u00a0B\u00a0ha (\u223c18% of the total area) to two processes and 0.02\u00a0B\u00a0ha (1.4% of the total area) to three or more processes. An estimated 0.82\u00a0B\u00a0ha of croplands are susceptible to possible increases in water (0.68\u00a0B\u00a0ha) and wind (0.14\u00a0B\u00a0ha) erosion. We contend that the presented set of estimates represents a basis for enhancing our foundational knowledge on the geography of soil erosion at the global scale. The generated insight on multiple erosion processes can be a useful starting point for decision-makers working with ex-post and ex-ante policy evaluation of the UN Sustainable Development Goal 15 (Life on Land) activities. Scientifically, this work provides the hitherto most comprehensive assessment of soil erosion risks at the global scale, based on state-of-the-art models.", "keywords": ["550", "IMPACT", "[SDV]Life Sciences [q-bio]", "multi-model approach", "Wind", "SEDIMENT", "Gully", "11. Sustainability", "info:eu-repo/classification/udc/631.4", "2. Zero hunger", "Multi-model approach", "Modelling; Multi-model approach; Water; Wind; Gully; Tillage; Crop harvesting", "Agriculture", "multi-modelski pristop", "Engineering (General). Civil engineering (General)", "4106 Soil sciences", "[SDV] Life Sciences [q-bio]", "gully", "veter", "Physical Sciences", "Water Resources", "tillage", "TA1-2040", "Life Sciences & Biomedicine", "pobiranje pridelka", "water", "Soil Science", "Environmental Sciences & Ecology", "Modelling", "Tillage", "modelling", "4104 Environmental management", "4105 Pollution and contamination", "EUROPEAN-UNION", "modeliranje", "jarkovna erozija", "wind", "AGRICULTURAL SOIL-EROSION", "Science & Technology", "WATER EROSION", "500", "Water", "15. Life on land", "Crop harvesting", "13. Climate action", "voda", "crop harvesting", "Environmental Sciences", "erozija zaradi obdelave tal", "WIND EROSION"]}, "links": [{"href": "https://doi.org/11590/469721"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11590/469721", "name": "item", "description": "11590/469721", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11590/469721"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-01T00:00:00Z"}}, {"id": "10261/309080", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:21:42Z", "type": "Journal Article", "created": "2022-12-23", "title": "The Impact of Residences and Roads on Wind Erosion in a Temperate Grassland Ecosystem: A Spatially Oriented Perspective", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The existence of residences and roads is an important way in which human activity affects wind erosion in arid and semiarid environments. Studies assessing the impact of these elements on wind erosion have only focused on limited plots, and their threat of erosion to the surrounding environment has been ignored by many studies. This study was based on spatially overlayed analysis of independent wind erosion distribution simulated by the revised wind erosion equation (RWEQ) and remote-sensing-image-derived residence and road distribution data. Wind erosion at different distances from residences and roads was quantified at the landscape scale of a typical temperate grassland ecosystem, explicitly demonstrating the crucial impacts of both elements on wind erosion. The results showed that wind erosion weakened as the distance from residences and roads increased due to the priority pathways of human activities, and the wind erosion around the residence was more severe than around the road. Human activities in the buffer zones 0\u2013200 m from the residences most frequently caused severe wind erosion, with a wind soil loss of 25 t ha\u22121 yr\u22121 and a wind soil loss of approximately 5.25 t ha\u22121 yr\u22121 for 0\u201360 m from the roads. The characteristics of wind erosion variation in the buffer zones were also affected by residence size and the environments in which the residences were located. The variation in wind erosion was closely related to the road levels. Human activities intensified wind erosion mainly by affecting the soil and vegetation around residences and roads. Ecological management should not be limited to residences and roads but should also protect the surrounding environments. The findings of this study are aimed towards a spatial perspective that can help implement rational and effective environmental management measures for the sustainability of wind-eroded ecosystems.</p></article>", "keywords": ["2. Zero hunger", "Conservation of Natural Resources", "Residence", "Temperate grassland", "Wind", "04 agricultural and veterinary sciences", "15. Life on land", "Grassland", "Article", "wind erosion; residence; road; temperate grassland; ecosystem management", "Road", "Soil", "13. Climate action", "Wind erosion", "11. Sustainability", "Humans", "0401 agriculture", " forestry", " and fisheries", "Ecosystem management", "Ecosystem", "Environmental Monitoring"], "contacts": [{"organization": "Zhuoli Zhou, Zhuodong Zhang, Wenbo Zhang, Jianyong Luo, Keli Zhang, Zihao Cao, Zhiqiang Wang,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/1660-4601/20/1/198/pdf"}, {"href": "https://www.mdpi.com/1660-4601/20/1/198/pdf"}, {"href": "https://doi.org/10261/309080"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Environmental%20Research%20and%20Public%20Health", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/309080", "name": "item", "description": "10261/309080", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/309080"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-23T00:00:00Z"}}, {"id": "10261/384984", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:21:44Z", "type": "Dataset", "title": "[Dataset] Impact of Dust Source Patchiness on the Existence of a Constant Dust Flux Layer During Aeolian Erosion Events", "description": "Open AccessDust emission fluxes during wind soil erosion are usually estimated using a dust concentration vertical gradient, by assuming a constant dust flux layer between the surface and the dust measurement levels. Here, we investigate the existence of this layer during erosion events recorded in Iceland and Jordan. Size-resolved dust fluxes were estimated at three levels between 2 and 4\u00a0m using the eddy-covariance method. Dust fluxes were found mainly constant only between the two upper levels in Iceland, the lower dust flux being often stronger and richer in coarse particles, while dust fluxes in Jordan were nearly constant across all levels. The wind dynamics could not explain the absence of a constant dust flux layer in Iceland. We show that the presence of stationary dust source patches in Iceland, related to surface humidity, created a non-uniform dust layer near the surface, named dust roughness sublayer (DRSL), where individual plumes behind each patch interact but do not fully mix. The lowest dust measurement level was probably located within this sublayer while the upper ones were located above, such that there the emitted dust became spatially well-mixed. This explains near the surface in Iceland, the more intermittent dust concentration, its low correlation with the dust concentrations above, and the richer dust flux in coarse particles due to their lower deposition contribution. Our findings highlight the importance of estimating dust fluxes above a dust blending height whose characteristics depend on the dust source patchiness caused by surface humidity or the presence of sparse non-erosive elements.", "keywords": ["Make cities and human settlements inclusive", " safe", " resilient and sustainable", "Dust flux", "Build resilient infrastructure", " promote inclusive and sustainable industrialization and foster innovation", "Soil wind erosion", "Size distribution", "Constant flux layer", "Protect", " restore and promote sustainable use of terrestrial ecosystems", " sustainably manage forests", " combat\u00a0desertification", " and halt and reverse land degradation and halt biodiversity loss"], "contacts": [{"organization": "Dupont, S., Klose, M., Irvine, M. R., Gonz\u00e1lez-Fl\u00f3rez, C., Alastuey, Andr\u00e9s, Bonnefond, J. M., Dagsson-Waldhauserova, P., Gonzalez-Romero, A., Hussein, T., Lamaud, E., Meyer, H., Panta, A., Querol, Xavier, Schepanski, K., Vergara Palacio, S., Wieser, A., Yus-D\u00edez, Jes\u00fas, Kandler, K., P\u00e9rez Garc\u00eda-Pando, C.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10261/384984"}, {"rel": "self", "type": "application/geo+json", "title": "10261/384984", "name": "item", "description": "10261/384984", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/384984"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-01T00:00:00Z"}}, {"id": "10138/579229", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:21:38Z", "type": "Journal Article", "created": "2024-06-11", "title": "Impact of Dust Source Patchiness on the Existence of a Constant Dust Flux Layer During Aeolian Erosion Events", "description": "Abstract<p>Dust emission fluxes during wind soil erosion are usually estimated using a dust concentration vertical gradient, by assuming a constant dust flux layer between the surface and the dust measurement levels. Here, we investigate the existence of this layer during erosion events recorded in Iceland and Jordan. Size\uffe2\uff80\uff90resolved dust fluxes were estimated at three levels between 2 and 4\uffc2\uffa0m using the eddy\uffe2\uff80\uff90covariance method. Dust fluxes were found mainly constant only between the two upper levels in Iceland, the lower dust flux being often stronger and richer in coarse particles, while dust fluxes in Jordan were nearly constant across all levels. The wind dynamics could not explain the absence of a constant dust flux layer in Iceland. We show that the presence of stationary dust source patches in Iceland, related to surface humidity, created a non\uffe2\uff80\uff90uniform dust layer near the surface, named dust roughness sublayer (DRSL), where individual plumes behind each patch interact but do not fully mix. The lowest dust measurement level was probably located within this sublayer while the upper ones were located above, such that there the emitted dust became spatially well\uffe2\uff80\uff90mixed. This explains near the surface in Iceland, the more intermittent dust concentration, its low correlation with the dust concentrations above, and the richer dust flux in coarse particles due to their lower deposition contribution. Our findings highlight the importance of estimating dust fluxes above a dust blending height whose characteristics depend on the dust source patchiness caused by surface humidity or the presence of sparse non\uffe2\uff80\uff90erosive elements.</p", "keywords": ["[SDE] Environmental Sciences", "Aeolian erosion events", "Geologie", " Hydrologie", " Meteorologie", "550", "dust flux", "Soil wind erosion", "Ensure access to affordable", " reliable", " sustainable and modern energy for all", "Dust flux layer", "0207 environmental engineering", "02 engineering and technology", "Constant flux layer", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida", "551", "01 natural sciences", "http://metadata.un.org/sdg/7", "Make cities and human settlements inclusive", " safe", " resilient and sustainable", "Dust flux", "Simulaci\u00f3 per ordinador", "Atmospheric surface layer", "size distribution", "Climate science", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "ddc:550", "Size distribution", "15. Life on land", "520", "Physical sciences", "Earth sciences", "13. Climate action", "[SDE]Environmental Sciences", "Soil erosion", "soil wind erosion", "http://metadata.un.org/sdg/11", "constant flux layer"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2023JD040657"}, {"href": "https://hal.inrae.fr/hal-04618242/file/JGR%20Atmospheres%20-%202024%20-%20Dupont%20-%20Impact%20of%20Dust%20Source%20Patchiness%20on%20the%20Existence%20of%20a%20Constant%20Dust%20Flux%20Layer%20During.pdf"}, {"href": "https://doi.org/10138/579229"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Atmospheres", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10138/579229", "name": "item", "description": "10138/579229", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10138/579229"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-11T00:00:00Z"}}, {"id": "10261/309244", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:21:42Z", "type": "Other", "title": "Agricultural Land Degradation in the Czech Republic", "description": "Closed AccessI would like to thank the teams that worked on Tudi project no. 101000224, EU ITN SOPLAS project no. 955334, and on project no. LTC20001 \u201cFire effects on soils,\u201d which contributed to some of the results reported in this chapter.", "keywords": ["Land collectivization", "Soil sealing", "Wind erosion", "Soil erosion", "Wild fires", "Pesticides", "Soil compaction"], "contacts": [{"organization": "Zumr, David", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10261/309244"}, {"rel": "self", "type": "application/geo+json", "title": "10261/309244", "name": "item", "description": "10261/309244", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/309244"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "15777-gevoeligheid-voor-winderosie-historie-", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:22:02Z", "type": "Dataset", "language": "nl", "title": "Sensitivity to wind erosion (history)", "description": "Sensitivity to wind erosion. Wind erosion means blowing away or spraying off the ground.", "formats": [{"name": "PNG"}], "keywords": ["bodem", "grasland", "grondgebruik", "kwetsbaarheid", "nl", "wind", "zandgrond"], "contacts": [{"organization": "Provincie Drenthe", "roles": ["creator"]}, {"organization": "http://standaarden.overheid.nl/owms/terms/Drenthe", "roles": ["publisher"]}]}, "links": [{"href": "https://kaartportaal.drenthe.nl/documenten/metadata/shape/SHAPE-GBI_BODEM_WINDEROSIE_V.zip"}, {"href": "https://kaartportaal.drenthe.nl/documenten/metadata/thumbs/GBI.BODEM_WINDEROSIE_V.png"}, {"href": "http://data.europa.eu/88u/dataset/15777-gevoeligheid-voor-winderosie-historie-"}, {"rel": "self", "type": "application/geo+json", "title": "15777-gevoeligheid-voor-winderosie-historie-", "name": "item", "description": "15777-gevoeligheid-voor-winderosie-historie-", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/15777-gevoeligheid-voor-winderosie-historie-"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "1808/33524", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:22:03Z", "type": "Journal Article", "created": "2020-01-03", "title": "Retrieving the global distribution of the threshold of wind erosion from satellite data and implementing it into the Geophysical Fluid Dynamics Laboratory land\u2013atmosphere model (GFDL AM4.0/LM4.0)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Dust emission is initiated when surface wind velocities exceed the threshold of wind erosion. Many dust models used constant threshold values globally. Here we use satellite products to characterize the frequency of dust events and land surface properties. By matching this frequency derived from Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue aerosol products with surface winds, we are able to retrieve a climatological monthly global distribution of the wind erosion threshold (Vthreshold) over dry and sparsely vegetated surfaces. This monthly two-dimensional threshold velocity is then implemented into the Geophysical Fluid Dynamics Laboratory coupled land\u2013atmosphere model (AM4.0/LM4.0). It is found that the climatology of dust optical depth (DOD) and total aerosol optical depth, surface PM10 dust concentrations, and the seasonal cycle of DOD are better captured over the \u201cdust belt\u201d (i.e., northern Africa and the Middle East) by simulations with the new wind erosion threshold than those using the default globally constant threshold. The most significant improvement is the frequency distribution of dust events, which is generally ignored in model evaluation. By using monthly rather than annual mean Vthreshold, all comparisons with observations are further improved. The monthly global threshold of wind erosion can be retrieved under different spatial resolutions to match the resolution of dust models and thus can help improve the simulations of dust climatology and seasonal cycles as well as dust forecasting.</p></article>", "keywords": ["[SDE] Environmental Sciences", "Climatology", "Mineral dusts", ":Desenvolupament hum\u00e0 i sostenible::Medi ambient [\u00c0rees tem\u00e0tiques de la UPC]", "550", "Erosi\u00f3 e\u00f2lica", "Physics", "QC1-999", "01 natural sciences", "Dust emission", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Medi ambient", "Chemistry", "Pols -- Control", "MODIS (Spectroradiometer)", "13. Climate action", "Climatologia", "Wind erosion", "Dust optical depth (DOD)", "QD1-999", "Dust control", "Geophysical Fluid Dynamics", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://acp.copernicus.org/articles/20/55/2020/acp-20-55-2020.pdf"}, {"href": "https://www.atmos-chem-phys.net/20/55/2020/acp-20-55-2020-supplement.pdf"}, {"href": "https://doi.org/1808/33524"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1808/33524", "name": "item", "description": "1808/33524", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1808/33524"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-03T00:00:00Z"}}, {"id": "1f76e902-cdef-44bb-a2eb-cdb8ff2252f2", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[14.12, 52.52], [14.12, 52.52], [14.12, 52.52], [14.12, 52.52], [14.12, 52.52]]]}, "properties": {"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": "2024-12-05", "type": "Service", "created": "2024-12-04", "language": "eng", "title": "Web Map Service of the weather station M\u00fcncheberg", "description": "This Web Map Service includes spatial information used by datasets 'Weather Data Muencheberg starting 1991'", "keywords": ["infoMapAccessService", "Soil", "leaves", "meteorological stations", "air temperature", "relative humidity", "evaporation", "wind measurement"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "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": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Karl Otto Wenkel", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Dieter Sowa", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Michael B\u00e4hr", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Bernd R\u00f6ber", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "bernd.roeber@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Marcel Wallschl\u00e4ger", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "marcel.wallschlaeger@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Frank Gesper", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "frank.gesper@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Frank Gesper", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["dataCurator"], "phones": [{"value": null}], "emails": [{"value": "frank.gesper@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Nikolai Svoboda", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "nikolai.svoboda@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research", "roles": ["contributor"]}], "themes": [{"concepts": [{"id": "infoMapAccessService"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Soil"}, {"id": "leaves"}, {"id": "meteorological stations"}, {"id": "air temperature"}, {"id": "relative humidity"}, {"id": "evaporation"}, {"id": "wind measurement"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [], "scheme": "individual"}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=1f76e902-cdef-44bb-a2eb-cdb8ff2252f2", "rel": "information"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Zalf/Weatherstation_M%C3%BCncheberg/MapServer"}, {"rel": "self", "type": "application/geo+json", "title": "1f76e902-cdef-44bb-a2eb-cdb8ff2252f2", "name": "item", "description": "1f76e902-cdef-44bb-a2eb-cdb8ff2252f2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1f76e902-cdef-44bb-a2eb-cdb8ff2252f2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-12-05T00:00:00Z"}}, {"id": "3215525597", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:22:53Z", "type": "Journal Article", "created": "2021-11-28", "title": "Co-localised phosphorus mobilization processes in the rhizosphere of field-grown maize jointly contribute to plant nutrition", "description": "Abstract   Understanding phosphorus (P) dynamics in the rhizosphere is crucial for sustainable crop production. P mobilization processes in the rhizosphere include the release of plant and microbially-derived protons and extracellular phosphatases. We investigated the effect of root hairs and soil texture on the spatial distribution and intensity of P mobilizing processes in the rhizosphere of Zea mays L. root-hair defective mutant (rth3) and wild-type (WT) grown in two substrates (loam, sand). We applied 2D-chemical imaging methods in custom-designed root windows installed in the field to visualize soil pH (optodes), acid phosphatase activity (zymography), and labile P and Mn fluxes (diffusive gradients in thin films, DGT).  The average rhizosphere extent for phosphatase activity and pH was greater in sand than in loam, while the presence of root-hairs had no impact. Acidification was significantly stronger at young root tissue ( 4\u202fcm from root cap) and stronger in WT than rth3. Accompanied with stronger acidification, higher P flux was observed mainly around young, actively growing root tissues for both genotypes. Our results indicate that acidification was linked to root growth and created a pH optimum for acid phosphatase activity, i.e., mineralization of organic P, especially at young root tissues which are major sites of P uptake. Both genotypes grew better in loam than in sand; however, the presence of root hairs generally resulted in higher shoot P concentrations and greater shoot biomass of WT compared to rth3. We conclude that soil substrate had a larger impact on the extent and intensity of P solubilization processes in the rhizosphere of maize than the presence of root hairs. For the first time, we combined 2D-imaging of soil pH, phosphatase activity, and nutrient gradients in the field and demonstrated a novel approach of stepwise data integration revealing the interplay of various P solubilizing processes in situ.", "keywords": ["[SDV.SA]Life Sciences [q-bio]/Agricultural sciences", "580", "2. Zero hunger", "0106 biological sciences", "[SDV.SA] Life Sciences [q-bio]/Agricultural sciences", "Soil zymography", "04 agricultural and veterinary sciences", "Diffusive gradients in thin films (DGT)", "15. Life on land", "01 natural sciences", "630", "Planar pH optodes", "Root window", "Soil texture", "[SDV.BV]Life Sciences [q-bio]/Vegetal Biology", "0401 agriculture", " forestry", " and fisheries", "Root hairs", "[SDV.BV] Life Sciences [q-bio]/Vegetal Biology"]}, "links": [{"href": "https://doi.org/3215525597"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Biology%20and%20Biochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3215525597", "name": "item", "description": "3215525597", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3215525597"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-01T00:00:00Z"}}, {"id": "29944FE2-7DCC-4322-82CA-960ED066B6D3", "type": "Feature", "geometry": null, "properties": {"updated": "2024-04-23T00:00:00Z", "type": "Dataset", "language": "de", "title": "Potential erosion hazard of arable soils by wind in Germany 1:1.000.000", "description": "Soil erosion by wind occurs mainly on sandy, low humus and organic soils. Wind-exposed areas without vegetation are particularly at risk. The map on the potential risk of wind erosion in Germany shows regional priorities with the risk of soil erosion by wind. The characteristic value is determined by the soil type, the humus content of the soils and the average annual wind speed at 10 meters altitude. Particular attention is also paid to arable peat soils as well as deep and sand mixed crops. The method has been published in DIN 19706:2013 and included in the method documentation of the ad hoc working group Soil. For the application to soil maps, the procedure has been adapted by the Federal Institute for Geosciences and Natural Resources (BGR). The map shows the erosion hazard for arable soils in Germany on the basis of the use-differentiated soil overview map on a scale of 1:1,000,000 as well as the average annual wind speed at 10 meters altitude for the climate period 1980-2000 (DWD). In principle, however, only in the case of arable land use and low land cover by the crop can an actual risk be assumed. The map shows a potential hazard situation without taking into account wind hazards and crops.", "formats": [{"name": "PDF"}], "keywords": ["High value dataset", "ackerbau", "boden", "bodenabtrag", "bodenart", "bodendegradation", "bodenerosion", "bodenerosion-durch-wind", "bodenkarte", "bodenschutz", "bodenzustand", "bundesrepublik-deutschland", "de", "erdbeobachtung-und-umwelt", "erosion", "erosionsanfa\u0308lligkeit", "erosionsgefa\u0308hrdung", "erosionsschutz", "inspireidentifiziert", "national", "opendata", "sandsturm", "soil", "winderosion"], "contacts": [{"organization": "Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR)", "roles": ["creator"]}]}, "links": [{"href": "https://download.bgr.de/bgr/Boden/pegwind1000/geotiff/pegwind1000_250_v10.zip"}, {"href": "https://download.bgr.de/bgr/Boden/pegwind1000/jpg150/pegwind1000_250_v10.zip"}, {"href": "https://download.bgr.de/bgr/Boden/pegwind1000/jpg300/pegwind1000_250_v10.zip"}, {"href": "https://download.bgr.de/bgr/Boden/pegwind1000/pdf/pegwind1000_250_v10.zip"}, {"href": "https://download.bgr.de/bgr/Boden/pegwind1000/png150/pegwind1000_250_v10.zip"}, {"href": "https://download.bgr.de/bgr/Boden/pegwind1000/tiff300/pegwind1000_250_v10.zip"}, {"href": "http://data.europa.eu/88u/dataset/29944fe2-7dcc-4322-82ca-960ed066b6d3"}, {"rel": "self", "type": "application/geo+json", "title": "29944FE2-7DCC-4322-82CA-960ED066B6D3", "name": "item", "description": "29944FE2-7DCC-4322-82CA-960ED066B6D3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/29944FE2-7DCC-4322-82CA-960ED066B6D3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "2a792d87-9fb6-489d-8afb-188b1190c881", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[11.27, 51.36], [11.27, 53.56], [14.77, 53.56], [14.77, 51.36], [11.27, 51.36]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Regional"}], "scheme": "Spatial scope"}], "updated": "2023-08-04T14:11:10", "type": "Dataset", "created": "2019-10-23T00:00:00", "language": "ger", "title": "INSPIRE Data Set: Soil / Soil erosion hazard due to wind in Brandenburg (LBGR)", "description": "Der interoperable INSPIRE-Datensatz beinhaltet Daten vom LBGR \u00fcber die potentielle Erosionsgef\u00e4hrdung durch Wind in Brandenburg, transformiert in das INSPIRE-Zielschema Soil. Der Datensatz wird \u00fcber je einen interoperablen Darstellungs- und Downloaddienst bereitgestellt. \n\t  \t--- \n\t  \tThe compliant INSPIRE data set contains data about the potential erosion risk by wind in the State of Brandenburg from the LBGR, transformed into the INSPIRE annex schema Soil. The data set is provided via compliant view and download services.", "formats": [{"name": "Soil GML Application Schema"}, {"name": "OGC:WFS"}], "keywords": ["inspireidentifiziert", "SoilBody", "Brandenburg", "topSoil", "SoilLayer", "Geologie", "Oberboden", "Soil", "DerivedSoilProfile", "OM_Observation", "interoperability", "Bodenkunde", "Bodenschutz", "siteSpecificWindErosionRisk", "SoilDerivedObject", "interoperabel", "Bodenerosionsgef\u00e4hrdung durch Wind in Brandenburg", "windErosionRiskTopSoil", "Process", "Bodenerosionsgef\u00e4hrdung", "interoperable Daten", "Boden", "Regional"], "contacts": [{"name": "Herr Arvid Markert", "organization": "Landesamt f\u00fcr Bergbau, Geologie und Rohstoffe Brandenburg (LBGR)", "position": null, "roles": ["pointOfContact"], "phones": [{"value": "+49 355 48640 167"}], "emails": [{"value": "arvid.markert@lbgr.brandenburg.de"}], "addresses": [{"deliveryPoint": ["Inselstra\u00dfe 26"], "city": "Cottbus", "administrativeArea": "Brandenburg", "postalCode": "03046", "country": null}], "links": [{"href": null}]}, {"name": "INSPIRE-Zentrale im Land Brandenburg", "organization": "Landesvermessung und Geobasisinformation Brandenburg (LGB)", "position": null, "roles": ["publisher"], "phones": [{"value": "+49-331-8844-123"}], "emails": [{"value": "kundenservice@inspire.brandenburg.de"}], "addresses": [{"deliveryPoint": ["Heinrich-Mann-Allee 104 B"], "city": "Potsdam", "administrativeArea": "Brandenburg", "postalCode": "14473", "country": null}], "links": [{"href": null}]}], "denominator": "300000"}, "links": [{"href": "https://inspire.brandenburg.de/services/so_boerosionwi_wfs?REQUEST=GetCapabilities&SERVICE=WFS", "description": "Download-Service", "protocol": "OGC:WFS", "rel": "download"}, {"href": "https://isk.geobasis-bb.de/md-thumbnail/ds-so-boerosionwi.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": "2a792d87-9fb6-489d-8afb-188b1190c881", "name": "item", "description": "2a792d87-9fb6-489d-8afb-188b1190c881", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2a792d87-9fb6-489d-8afb-188b1190c881"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2023-08-04T14:11:10Z"}}, {"id": "46348-maq-observations-veenkampen", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:23:09Z", "type": "Dataset", "language": "en", "title": "MAQ Observations: Veenkampen", "description": "On https://maq-observations.nl/ we offer all operational measurements from three sites: Veenkampen, Loobos and Amsterdam. These observations include, but do not limit themselves to, temperature, humidity, wind, radiation, soil moisture, soil temperature, energy and carbon fluxes and air quality (e.g. NOx, O3, PM). The Veenkampen site is located in the \u2018Binnenveld\u2019 area between Wageningen and Veenendaal. It\u2019s grass on clay and peat is typical for the area. Its surroundings were converted from farmland into a wetland habitat since 2020. The Veenkampen site is a continuation of the former \u2018Haarweg\u2019 and \u2018Duivendaal\u2019 sites, which were reallocated because of city expansion. Together they are home to the world\u2019s longest record of global radiation and others. The Veenkampen site is both an operational and experimental site. The focus is on how CO2 and water exchange change with climate and particularly in extremes (droughts, heat waves). With respect to air quality, the site is a background location, without close traffic and industrial sources. The site is operated by MAQ at Wageningen University. It is regularly used by other partners too (e.g. other WUR groups, RIVM). Operationally, we measure meteorology, evaporation, CO2 exchange, soil variables and black carbon concentrations. Experimentally, we measure air quality concentrations and fluxes of NOx and NH3. The site is used for shorter experiments too.", "formats": [{"name": "HTML"}], "keywords": ["air-quality", "climate", "external-dataset", "fluxes", "meteorology", "nl", "open-data", "precipitation", "ruisdael", "soil", "sunshine-and-radiation", "temperature", "wind"], "contacts": [{"organization": "Koninklijk Nederlands Meteorologisch Instituut (KNMI)", "roles": ["creator"]}, {"organization": "http://standaarden.overheid.nl/owms/terms/Koninklijk_Nederlands_Meteorologisch_Instituut", "roles": ["publisher"]}]}, "links": [{"href": "https://dataplatform.knmi.nl/catalog/datasets/index.html?x-dataset=maq_observations_veenkampen&x-dataset-version=1.0"}, {"href": "http://data.europa.eu/88u/dataset/46348-maq-observations-veenkampen"}, {"rel": "self", "type": "application/geo+json", "title": "46348-maq-observations-veenkampen", "name": "item", "description": "46348-maq-observations-veenkampen", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/46348-maq-observations-veenkampen"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "3bddcde7-4f52-4b64-be4b-3bb1ab10a3af", "type": "Feature", "geometry": null, "properties": {"updated": "2025-09-02T09:57:34", "type": "Dataset", "language": "de", "title": "INSPIRE-WCS Soil / Bodenerosionsgef\u00e4hrdung BB", "description": "Der interoperable INSPIRE-WCS ist ein Downloaddienst, der Daten im Annex-Schema Boden (abgeleitet aus dem origin\u00e4ren Datensatz: Bodenerosionsgef\u00e4hrdung Brandenburg) bereitstellt. Er gibt einen \u00dcberblick zur r\u00e4umlichen Verteilung der potenziellen Bodenerosionsgef\u00e4hrdung sowie des Bodenabtrags durch Wind und Wasser auf den landwirtschaftlichen Fl\u00e4chen Brandenburgs. Der WCS beinhaltet die f\u00fcnf Coverages. Im Coverage \u201eGef\u00e4hrdungsstufen Winderosion\u201c sind die landwirtschaftlichen Fl\u00e4chen in einer r\u00e4umlichen Aufl\u00f6sung von 2x2 Meter nach ihrer potenziellen Winderosionsgef\u00e4hrdung in Anlehnung an die Berechnungsvorschrift DIN19706 (https://dx.doi.org/10.31030/1934215) sowie Funk et al. 2023 (https://dx.doi.org/10.1016/j.aeolia.2023.100878) klassifiziert.  Im Coverage \u201eBodenabtrag (t/ha/a) Wassererosion (RxKxS)\u201c ist der potenzielle Bodenabtrag durch Wasser abgeleitet aus den Erosionsfaktoren R, K und S nach DIN19708 (https://dx.doi.org/10.31030/2676773) in einer r\u00e4umlichen Aufl\u00f6sung von 5x5 Meter dargestellt. Im Coverage \u201eBodenabtrag (t/ha/a) Wassererosion (RxKxSxL)\u201c ist der potenzielle Bodenabtrag durch Wasser abgeleitet aus den Erosionsfaktoren R, K, S und L nach DIN19708 (https://dx.doi.org/10.31030/2676773) in einer r\u00e4umlichen Aufl\u00f6sung von 5x5 Meter dargestellt.  In den Layern \u201eGef\u00e4hrdungsstufen Wassererosion (RxKxS)\u201c und \u201eGef\u00e4hrdungsstufen Wassererosion (RxKxSxL)\u201c ist eine Einstufung der potenziellen Wassererosionsgef\u00e4hrdung der landwirtschaftlichen Fl\u00e4chen nach DIN19708 in einer r\u00e4umlichen Aufl\u00f6sung von 5x5 Meter dargestellt. Die potenzielle Erosionsgef\u00e4hrdung entspricht der Gef\u00e4hrdung der Fl\u00e4chen auf Grund naturr\u00e4umlicher Bedingungen, d.h. ohne Ber\u00fccksichtigung von landwirtschaftlichen Bewirtschaftungsma\u00dfnahmen wie Bodenbearbeitung, Bodenbedeckung und Fruchtfolge. Gem\u00e4\u00df der INSPIRE-Datenspezifikation Soil (D2.8.III.3_v3.0) liegen die Inhalte der Bodenkarte INSPIRE-konform vor. Der WCS beinhaltet die folgenden Coverages: SO.SoilLossWaterErosion (RxKxS), SO.RiskLevelsWaterErosion (RxKxS), SO.SoilLossWaterErosion (RxKxSxL), SO.RiskLevelsWaterErosion (RxKxSxL), SO.RiskLevelsWindErosion      ---      The compliant INSPIRE-WCS is a download service that delivers data in the annex schema Soil (derived from the original data set: Geomorphographic assessments Brandenburg). It provides an overview of the spatial distribution of the potential soil erosion risk as well as soil loss caused by wind and water on agricultural land in Brandenburg. The service contains five layers. In the coverage \u201eRisk levels wind erosion\u201c the agricultural areas are classified in a spatial resolution of 2x2 meters according to their potential wind erosion risk based on the methods DIN19706 (https://dx.doi.org/10.31030/1934215) and Funk et al. 2023 (https://dx.doi.org/10.1016/j.aeolia.2023.100878).  In the coverage \u201eSoil loss (t/ha/a) water erosion (RxKxS)\u201c the potential soil loss caused by water derived from the erosion factors R, K and S according to DIN19708 (https://dx.doi.org/10.31030/2676773) is presented in a spatial resolution of 5x5 meters. In the coverage \u201eSoil loss (t/ha/a) water erosion (RxKxSxL)\u201c the potential soil loss caused by water derived from the erosion factors R, K, S and L according to DIN19708 (https://dx.doi.org/10.31030/2676773) is presented in a spatial resolution of 5x5 meters. In the layers \u201eRisk levels water erosion (RxKxS)\u201c and \u201eRisk levels water erosion (RxKxSxL)\u201c a classification of the potential erosion risk of the agricultural land caused by water according to DIN19708 is presented in a spatial resolution of 5x5 meters. The potential soil erosion risk reflects the erosion of bare soil under natural environmetal conditions, i.e. without taking into account cultivation methods such as tillage, soil cover and crop rotation. The content of the soil map is compliant to the INSPIRE data specification for the annex theme Soil (D2.8.III.3_v3.0). The WCS includes the following coverages: SO.SoilLossWaterErosion (RxKxS), SO.RiskLevelsWaterErosion (RxKxS), SO.SoilLossWaterErosion (RxKxSxL), SO.RiskLevelsWaterErosion (RxKxSxL), SO.RiskLevelsWindErosion", "formats": [{"name": "HTML"}], "keywords": ["boden", "bodenerosion", "bodenerosionsgefa\u0308hrdung", "bodenerosionsgefa\u0308hrdung-durch-wasser-in-brandenburg", "bodenerosionsgefa\u0308hrdung-durch-wind-in-brandenburg", "bodenkunde", "brandenburg", "de", "erosion", "erosionsgefa\u0308hrdung", "gefa\u0308hrdungsstufen", "geologie", "infocoverageaccessservice", "inspireidentifiziert", "interoperabel", "interoperability", "interoperable-daten", "opendata", "process", "regional", "soil", "soillayer", "wassererosion", "water-erosion", "watererosionrisktopsoil", "wcs", "wind-erosion", "winderosion", "winderosionrisktopsoil"], "contacts": [{"organization": "Landesamt f\u00fcr Bergbau, Geologie und Rohstoffe Brandenburg (LBGR)", "roles": ["creator"]}]}, "links": [{"href": "https://geoportal.brandenburg.de/detailansichtdienst/render?view=gdibb&url=https%3A%2F%2Fgeoportal.brandenburg.de%2Fgs-json%2Fxml%3Ffileid%3D3bddcde7-4f52-4b64-be4b-3bb1ab10a3af"}, {"href": "https://inspire.brandenburg.de/services/so_boerosion_wcs?REQUEST=GetCapabilities&SERVICE=WCS"}, {"href": "https://isk.geobasis-bb.de/geodienste/Sonstiges/Hilfe_Nutzung_Downloaddienst.pdf"}, {"href": "http://data.europa.eu/88u/dataset/3bddcde7-4f52-4b64-be4b-3bb1ab10a3af~~1"}, {"rel": "self", "type": "application/geo+json", "title": "3bddcde7-4f52-4b64-be4b-3bb1ab10a3af", "name": "item", "description": "3bddcde7-4f52-4b64-be4b-3bb1ab10a3af", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3bddcde7-4f52-4b64-be4b-3bb1ab10a3af"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "54435-maq-observations-loobos", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:23:20Z", "type": "Dataset", "language": "en", "title": "MAQ-Observations: Loobos", "description": "On https://maq-observations.nl/ we offer all operational measurements from three sites: Veenkampen, Loobos and Amsterdam. These observations include, but do not limit themselves to, temperature, humidity, wind, radiation, soil moisture, soil temperature, energy and carbon fluxes and air quality (e.g. NOx, O3, PM). We offer up-to date charts of the current weather and air quality, as well as a historic dataset to explore, plot and download. You can visualize and download the data with our carefully designed graphical user interface, or download it using a custom tailored API key. We offer up to 627 data streams divided over the three stations at a temporal resolution of up to 20 seconds. Loobos is located in a Pine forest the Veluwe natural park, one of the largest European natural areas. Pine are the dominant species in the Veluwe. Hence Loobos is representative for a much larger acreage. The site was first established in 1995 and was home to one of the 3 first ecosystem flux sites globally. In 2021 a new tower was built and equipped. The research at Loobos aims at understanding the role of the ecosystem in the carbon and water cycle. As the forest, planted in the 1910\u2019s, grows, it takes up CO2 from the atmosphere. This is an important feedback to climate change. But the amount of uptake depends on availability of water, temperature, radiation and air quality. Hence it is a very dynamic system, which we try to understand and predict. The research is done by MAQ at Wageningen University with Utrecht and Delft University as partners via the Ruisdael Observatory. Forest research is done by other groups in Wageningen as well, e.g. the GIS and Remote Sensing group collects LIDAR measurements of ecosystem geometry. We welcome other experimental groups and campaigns. A 36 m tall tower is built at the site in 2021, hosting eddy covariance instruments (CO2, heat, evaporation, Volatile Organic Compounds), radiation instruments, profiles of temperature, water vapour, CO2, wind speed. Soil temperature, moisture and heat flux and water table depth measurements are collected around the tower.", "formats": [{"name": "HTML"}], "keywords": ["air-quality", "climate", "external-dataset", "fluxes", "meteorology", "nl", "open-data", "precipitation", "ruisdael", "soil", "sunshine-and-radiation", "temperature", "wind"], "contacts": [{"organization": "Koninklijk Nederlands Meteorologisch Instituut (KNMI)", "roles": ["creator"]}, {"organization": "http://standaarden.overheid.nl/owms/terms/Koninklijk_Nederlands_Meteorologisch_Instituut", "roles": ["publisher"]}]}, "links": [{"href": "https://dataplatform.knmi.nl/catalog/datasets/index.html?x-dataset=maq_observations_loobos&x-dataset-version=1.0"}, {"href": "http://data.europa.eu/88u/dataset/54435-maq-observations-loobos"}, {"rel": "self", "type": "application/geo+json", "title": "54435-maq-observations-loobos", "name": "item", "description": "54435-maq-observations-loobos", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/54435-maq-observations-loobos"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "50|od______2659::8f1b8ff6aca69b1b21a2e117604714b8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:23:16Z", "type": "Dataset", "title": "Data from: Optimal blade pitch control for enhanced vertical-axis wind turbine performance", "description": "This directory contains open-source data obtained using a single-bladed H-type vertical-axis wind turbine prototype with individual blade pitching. This data results from the optimisation of the blade's pitching kinematics using a genetic algorithm at two tip-speed ratios: 1.5 and 3.2. The aerodynamic forces for all tested individuals and their pitch profiles are shared. A full descripton of the data content and how to use it is given in the readme.txt file. More information can be found at https://doi.org/10.21203/rs.3.rs-3121052", "keywords": ["individual blade pitching", "vertical-axis wind turbine", "genetic algorithm", "dynamic stall", "flow control"], "contacts": [{"organization": "Le Fouest, Sebastien, Mulleners, Karen,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/50|od______2659::8f1b8ff6aca69b1b21a2e117604714b8"}, {"rel": "self", "type": "application/geo+json", "title": "50|od______2659::8f1b8ff6aca69b1b21a2e117604714b8", "name": "item", "description": "50|od______2659::8f1b8ff6aca69b1b21a2e117604714b8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|od______2659::8f1b8ff6aca69b1b21a2e117604714b8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-01T00:00:00Z"}}, {"id": "50|od______2659::d1a12d46a64afc4d963666aa6cd0c66b", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:23:17Z", "type": "Dataset", "title": "Database of soil vulnerability to natural forest disturbances", "description": "The data in this repository relate to evidence synthesis projects which aim to assess the impacts of different natural disturbances, such as fire and precipitation changes on forest soils. This work was carried out as part of the Holisoils project funded by EU Horizon 2020 program (EU Horizon 2020 Grant Agreement No 101000289).", "keywords": ["forest", "precipitation reductions", "windthrow", "precipitation increases", "natural disturbances", "soil biodiversity", "drought", "precipitation change", "insect pest", "fire"], "contacts": [{"organization": "Martin, Philip", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/50|od______2659::d1a12d46a64afc4d963666aa6cd0c66b"}, {"rel": "self", "type": "application/geo+json", "title": "50|od______2659::d1a12d46a64afc4d963666aa6cd0c66b", "name": "item", "description": "50|od______2659::d1a12d46a64afc4d963666aa6cd0c66b", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|od______2659::d1a12d46a64afc4d963666aa6cd0c66b"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-06T00:00:00Z"}}, {"id": "50|r3c4b2081b22::55f75453b4d40d68931b19b47f025e13", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:23:18Z", "type": "Dataset", "title": "Sozialstatistisches Berichtswesen Berlin: Sozialgesetzbuch XII - SGB XII/ ab 2005 -> Hilfe in besonderen Lebenslagen (SGB XII 5.-9. Kapitel) -> Empf\u00e4nger/innen und Bedarfsgemeinschaften", "description": "Open Access1 872 asiakirjaa (1 872 XLS-tiedostoa) 31 p\u00e4iv\u00e4n\u00e4 tammikuuta 2006 ja 31 p\u00e4iv\u00e4n\u00e4 tammikuuta 2017 v\u00e4lisen\u00e4 aikana ja 13 eri tilaa.", "keywords": ["kurzzeitpflege", "hilfearten", "sozialstatistisches-berichtswesen", "hilfe-zur-gesundheit", "altersgruppen", "rehabilitation", "hilfe-bei-krankheit", "hilfe-zur-familienplanung", "pflegegeld", "blindenhilfe", "staatsangeh\u00f6rigkeit", "hilfe-bei-schwangerschaft-und-mutterschaft", "hilfe-in-besonderen-lebenslagen", "pflegestufen", "regionalvergleich", "pflegegrad", "beihilfen", "sozialhilfe", "empf\u00e4nger", "hilfe-bei-sterilisation", "gew\u00e4hrungsdauer", "teilstation\u00e4r", "hilfe-zur-\u00fcberwindung-besonderer-sozialer-schwierigkeiten", "altenhilfe", "ambulant", "eingliederungshilfe", "fachverfahren-prosoz", "sozialversicherung", "gsi", "hilfe-in-anderen-lebenslagen", "geschlecht", "hilfe-zur-pflege", "hilfe-in-sonstigen-lebenslagen", "hilfe-zur-weiterf\u00fchrung-des-haushalts", "bestattungskosten", "hilfe-zum-lebensunterhalt", "berlin", "station\u00e4r"]}, "links": [{"href": "https://doi.org/50|r3c4b2081b22::55f75453b4d40d68931b19b47f025e13"}, {"rel": "self", "type": "application/geo+json", "title": "50|r3c4b2081b22::55f75453b4d40d68931b19b47f025e13", "name": "item", "description": "50|r3c4b2081b22::55f75453b4d40d68931b19b47f025e13", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|r3c4b2081b22::55f75453b4d40d68931b19b47f025e13"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-11T00:00:00Z"}}, {"id": "5f3931b7-ac10-4482-9683-2c6fbe6af6f7", "type": "Feature", "geometry": null, "properties": {"updated": "2025-09-02T10:10:03", "type": "Dataset", "language": "de", "title": "WMS Bodenerosionsgef\u00e4hrdung BB (WMS-BOEROSION)", "description": "Der Darstellungsdienst (WMS) Bodenerosionsgef\u00e4hrdung Brandenburgs stellt Daten zum Bodenabtrag (t/ha/a) durch Wassererosion (RxKxS), Bodenabtrag (t/ha/a) durch Wassererosion (RxKxSxL), Gef\u00e4hrdungsstufen der Wassererosion (RxKxS), Gef\u00e4hrdungsstufen der Wassererosion (RxKxSxL) sowie Gef\u00e4hrdungsstufen der Winderosion bereit. Der Dienst beinhaltet drei Layer. Im Layer \u201eGef\u00e4hrdungsstufen Winderosion\u201c sind die landwirtschaftlichen Fl\u00e4chen in einer r\u00e4umlichen Aufl\u00f6sung von 2x2 Meter nach ihrer potenziellen Winderosionsgef\u00e4hrdung in Anlehnung an die Berechnungsvorschrift DIN19706 (https://dx.doi.org/10.31030/1934215) sowie Funk et al. 2023 (https://dx.doi.org/10.1016/j.aeolia.2023.100878) klassifiziert. Im Layer \u201eBodenabtrag (t/ha/a) Wassererosion (RxKxS)\u201c ist der potenzielle Bodenabtrag durch Wasser nach DIN19708 (https://dx.doi.org/10.31030/2676773) in einer r\u00e4umlichen Aufl\u00f6sung von 5x5 Meter dargestellt. Im Layer \u201eGef\u00e4hrdungsstufen Wassererosion (RxKxS)\u201c ist eine Einstufung der potenziellen Wassererosionsgef\u00e4hrdung der landwirtschaftlichen Fl\u00e4chen nach DIN19708 in einer r\u00e4umlichen Aufl\u00f6sung von 5x5 Meter dargestellt. Die potenzielle Erosionsgef\u00e4hrdung entspricht der Gef\u00e4hrdung der Fl\u00e4chen auf Grund naturr\u00e4umlicher Bedingungen, d.h. ohne Ber\u00fccksichtigung von landwirtschaftlichen Bewirtschaftungsma\u00dfnahmen wie Bodenbearbeitung, Bodenbedeckung und Fruchtfolge.     Der WMS beinhaltet die folgenden Layer:      - Bodenabtrag (t/ha/a) Wassererosion (RxKxS) [wa_bodenabtrag_rks],     - Gef\u00e4hrdungsstufen Wassererosion (RxKxS) [wa_gefstufen_rks],     - Bodenabtrag (t/ha/a) Wassererosion (RxKxSxL) [wa_bodenabtrag_rksl],     - Gef\u00e4hrdungsstufen Wassererosion (RxKxSxL) [wa_gefstufen_rksl],     - Gef\u00e4hrdungsstufen Winderosion [wi_gefstufen].", "formats": [{"name": "HTML"}], "keywords": ["boden", "bodenabtrag", "bodenerosion", "bodenkunde", "brandenburg", "de", "erosion", "erosionsgefa\u0308hrdung", "geologie", "opendata", "sgd_boden", "wassererosion", "winderosion", "wms"], "contacts": [{"organization": "Landesamt f\u00fcr Bergbau, Geologie und Rohstoffe Brandenburg (LBGR)", "roles": ["creator"]}]}, "links": [{"href": "https://geoportal.brandenburg.de/detailansichtdienst/render?view=gdibb&url=https%3A%2F%2Fgeoportal.brandenburg.de%2Fgs-json%2Fxml%3Ffileid%3D5f3931b7-ac10-4482-9683-2c6fbe6af6f7"}, {"href": "https://inspire.brandenburg.de/services/boerosion_wms?REQUEST=GetCapabilities&SERVICE=WMS"}, {"href": "http://data.europa.eu/88u/dataset/5f3931b7-ac10-4482-9683-2c6fbe6af6f7~~1"}, {"rel": "self", "type": "application/geo+json", "title": "5f3931b7-ac10-4482-9683-2c6fbe6af6f7", "name": "item", "description": "5f3931b7-ac10-4482-9683-2c6fbe6af6f7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/5f3931b7-ac10-4482-9683-2c6fbe6af6f7"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "776fa91c-2fc9-4a58-8daf-589627397bd1", "type": "Feature", "geometry": null, "properties": {"updated": "2025-09-02T10:09:33", "type": "Dataset", "language": "de", "title": "WCS Bodenerosionsgef\u00e4hrdung BB (WCS-BOEROSION)", "description": "Der Downloaddienst (WCS) Bodenerosionsgef\u00e4hrdung Brandenburgs stellt Daten zum Bodenabtrag (t/ha/a) durch Wassererosion (RxKxS), Bodenabtrag (t/ha/a) durch Wassererosion (RxKxSxL), Gef\u00e4hrdungsstufen der Wassererosion (RxKxS), Gef\u00e4hrdungsstufen der Wassererosion (RxKxSxL) sowie Gef\u00e4hrdungsstufen der Winderosion bereit. Der Dienst beinhaltet drei Layer. Im Layer \u201eGef\u00e4hrdungsstufen Winderosion\u201c sind die landwirtschaftlichen Fl\u00e4chen in einer r\u00e4umlichen Aufl\u00f6sung von 2x2 Meter nach ihrer potenziellen Winderosionsgef\u00e4hrdung in Anlehnung an die Berechnungsvorschrift DIN19706 (https://dx.doi.org/10.31030/1934215) sowie Funk et al. 2023 (https://dx.doi.org/10.1016/j.aeolia.2023.100878) klassifiziert. Im Layer \u201eBodenabtrag (t/ha/a) Wassererosion (RxKxS)\u201c ist der potenzielle Bodenabtrag durch Wasser nach DIN19708 (https://dx.doi.org/10.31030/2676773) in einer r\u00e4umlichen Aufl\u00f6sung von 5x5 Meter dargestellt. Im Layer \u201eGef\u00e4hrdungsstufen Wassererosion (RxKxS)\u201c ist eine Einstufung der potenziellen Wassererosionsgef\u00e4hrdung der landwirtschaftlichen Fl\u00e4chen nach DIN19708 in einer r\u00e4umlichen Aufl\u00f6sung von 5x5 Meter dargestellt. Die potenzielle Erosionsgef\u00e4hrdung entspricht der Gef\u00e4hrdung der Fl\u00e4chen auf Grund naturr\u00e4umlicher Bedingungen, d.h. ohne Ber\u00fccksichtigung von landwirtschaftlichen Bewirtschaftungsma\u00dfnahmen wie Bodenbearbeitung, Bodenbedeckung und Fruchtfolge.     Der WCS beinhaltet die folgenden Coverages:      - Bodenabtrag (t/ha/a) Wassererosion (RxKxS) [wa_bodenabtrag_rks],     - Gef\u00e4hrdungsstufen Wassererosion (RxKxS) [wa_gefstufen_rks],     - Bodenabtrag (t/ha/a) Wassererosion (RxKxSxL) [wa_bodenabtrag_rksl],     - Gef\u00e4hrdungsstufen Wassererosion (RxKxSxL) [wa_gefstufen_rksl],     - Gef\u00e4hrdungsstufen Winderosion [wi_gefstufen].", "formats": [{"name": "HTML"}], "keywords": ["boden", "bodenabtrag", "bodenerosion", "bodenkunde", "brandenburg", "de", "erosion", "erosionsgefa\u0308hrdung", "geologie", "opendata", "sgd_boden", "wassererosion", "wcs", "winderosion"], "contacts": [{"organization": "Landesamt f\u00fcr Bergbau, Geologie und Rohstoffe Brandenburg (LBGR)", "roles": ["creator"]}]}, "links": [{"href": "https://geoportal.brandenburg.de/detailansichtdienst/render?view=gdibb&url=https%3A%2F%2Fgeoportal.brandenburg.de%2Fgs-json%2Fxml%3Ffileid%3D776fa91c-2fc9-4a58-8daf-589627397bd1"}, {"href": "https://inspire.brandenburg.de/services/boerosion_wcs?REQUEST=GetCapabilities&SERVICE=WCS"}, {"href": "https://isk.geobasis-bb.de/geodienste/Sonstiges/Hilfe_Nutzung_Downloaddienst.pdf"}, {"href": "http://data.europa.eu/88u/dataset/776fa91c-2fc9-4a58-8daf-589627397bd1~~1"}, {"rel": "self", "type": "application/geo+json", "title": "776fa91c-2fc9-4a58-8daf-589627397bd1", "name": "item", "description": "776fa91c-2fc9-4a58-8daf-589627397bd1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/776fa91c-2fc9-4a58-8daf-589627397bd1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "4e953ee5-da55-4ef6-bfb9-b784f14133c3", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[75.35, 53.5], [75.35, 53.55], [75.5, 53.55], [75.5, 53.5], [75.35, 53.5]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "wind tunnels"}, {"id": "field experimentation"}, {"id": "soil management"}, {"id": "soil loss"}, {"id": "particle size distribution"}, {"id": "soil organic carbon"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "aggregate size distribution"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Eurasian Steppe"}, {"id": "Virgin lands campaign"}, {"id": "Kazakhstan"}, {"id": "Pavlodar"}], "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": "2023-11-22", "type": "Dataset", "created": "2023-09-22", "language": "eng", "title": "Wind erosion after steppe conversion in Kazakhstan: Data from mobile wind tunnel experiments - Particle size distribution", "description": "Cumulative particle size distribution (%) was measured by laser diffraction analyses (hydrogen peroxide to oxidize organic binding material, wet dispersion with sodium pyrophosphate, and sonication). This datasheet contains measured values from topsoil (0-25 mm), aeolian sediments collected by SUSTRA trap during wind tunnel experiments, and natural depositions of previous wind erosion events.\n\nGeneral description see mother table: (https://doi.org/10.4228/zalf-qq16-t967); Related datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "wind tunnels", "field experimentation", "soil management", "soil loss", "particle size distribution", "soil organic carbon", "opendata", "aggregate size distribution", "Boden", "Eurasian Steppe", "Virgin lands campaign", "Kazakhstan", "Pavlodar"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "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": 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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 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. 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