{"type": "FeatureCollection", "features": [{"id": "10.1002/lom3.10364", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:14:00Z", "type": "Journal Article", "created": "2020-06-05", "title": "An international laboratory comparison of dissolved organic matter composition by high resolution mass spectrometry: Are we getting the same answer?", "description": "Abstract<p>High\uffe2\uff80\uff90resolution mass spectrometry (HRMS) has become a vital tool for dissolved organic matter (DOM) characterization. The upward trend in HRMS analysis of DOM presents challenges in data comparison and interpretation among laboratories operating instruments with differing performance and user operating conditions. It is therefore essential that the community establishes metric ranges and compositional trends for data comparison with reference samples so that data can be robustly compared among research groups. To this end, four identically prepared DOM samples were each measured by 16 laboratories, using 17 commercially purchased instruments, using positive\uffe2\uff80\uff90ion and negative\uffe2\uff80\uff90ion mode electrospray ionization (ESI) HRMS analyses. The instruments identified ~1000 common ions in both negative\uffe2\uff80\uff90 and positive\uffe2\uff80\uff90ion modes over a wide range of m/z values and chemical space, as determined by van Krevelen diagrams. Calculated metrics of abundance\uffe2\uff80\uff90weighted average indices (H/C, O/C, aromaticity, and m/z) of the commonly detected ions showed that hydrogen saturation and aromaticity were consistent for each reference sample across the instruments, while average mass and oxygenation were more affected by differences in instrument type and settings. In this paper we present 32 metric values for future benchmarking. The metric values were obtained for the four different parameters from four samples in two ionization modes and can be used in future work to evaluate the performance of HRMS instruments.</p", "keywords": ["STRUCTURAL-CHARACTERIZATION", "ELECTROSPRAY-IONIZATION", "PONY LAKE", "550", "FTICR-MS", "Characterization", "Pony lake", "Marine Biology", "Oceanografi", " hydrologi och vattenresurser", "01 natural sciences", "Electrospray ionization", "River sediments", "Oceanography", " Hydrology and Water Resources", "Compostos org\u00e0nics", "[CHIM] Chemical Sciences", "Organic compounds", "RIVER", "Atmospheric pressure photoionization", "[CHIM]Chemical Sciences", "MOLECULAR CHARACTERIZATION", "0105 earth and related environmental sciences", "River", "Marine", "Fulvic acids", "Sediments fluvials", "Molecular", "ESI-MS", "Oceanography and Atmospheric Sciences and Meteorology", "Structural characterization", "620", "0104 chemical sciences", "FULVIC-ACIDS", "13. Climate action", "ATMOSPHERIC-PRESSURE PHOTOIONIZATION", "MARINE", "Fresh Water Studies"]}, "links": [{"href": "https://aslopubs.onlinelibrary.wiley.com/doi/pdf/10.1002/lom3.10364"}, {"href": "https://digitalcommons.odu.edu/context/chemistry_fac_pubs/article/1185/viewcontent/Hatcher_2020_AnInternationalLaboratoryComparisonofDissolvedOCR.pdf"}, {"href": "https://doi.org/10.1002/lom3.10364"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Limnology%20and%20Oceanography%3A%20Methods", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/lom3.10364", "name": "item", "description": "10.1002/lom3.10364", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/lom3.10364"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-01T00:00:00Z"}}, {"id": "10.1007/s10980-016-0447-x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:14:42Z", "type": "Journal Article", "created": "2016-10-04", "title": "Bending The Carbon Curve: Fire Management For Carbon Resilience Under Climate Change", "description": "Forest landscapes are increasingly managed for fire resilience, particularly in the western US which has recently experienced drought and widespread, high-severity wildfires. Fuel reduction treatments have been effective where fires coincide with treated areas. Fuel treatments also have the potential to reduce drought-mortality if tree density is uncharacteristically\u00a0high, and to increase long-term carbon storage by reducing high-severity fire probability. Assess whether fuel treatments reduce fire intensity and spread\u00a0and increase carbon storage under climate change. We used a simulation modeling approach that couples a landscape model of forest disturbance and succession with an ecosystem model of carbon dynamics (Century), to quantify the interacting effects of climate change, fuel treatments and wildfire for carbon storage potential in a mixed-conifer forest in the western USA. Our results suggest that fuel treatments have the potential to \u2018bend the C curve\u2019, maintaining carbon resilience despite climate change and climate-related changes to the fire regime. Simulated fuel treatments resulted in reduced fire spread and severity. There was partial compensation of C lost during fuel treatments with increased growth of residual stock due to greater available soil water, as well as a shift in species composition to more drought- and fire-tolerant Pinus jeffreyi at the expense of shade-tolerant, fire-susceptible Abies concolor. Forest resilience to global change can be achieved through management that reduces drought stress and supports the establishment and dominance of tree species that are more fire- and drought-resistant, however, achieving a net C gain from fuel treatments may take decades.", "keywords": ["Carbon sequestration", "0106 biological sciences", "Environmental Indicators and Impact Assessment", "Forest fires -- West (U.S.) -- Prevention and control", "Environmental Studies", "Natural Resources Management and Policy", "Forest fires -- Effect of climate change on", "15. Life on land", "Forest fires -- Simulation modelling", "01 natural sciences", "6. Clean water", "Wildfires -- Lake Tahoe Basin", "13. Climate action", "Forest management -- Environmental aspects", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1007/s10980-016-0447-x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Landscape%20Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10980-016-0447-x", "name": "item", "description": "10.1007/s10980-016-0447-x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10980-016-0447-x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-10-04T00:00:00Z"}}, {"id": "10.1016/j.foreco.2014.03.011", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:16:10Z", "type": "Journal Article", "created": "2014-03-31", "title": "Effectiveness Of Fuel Treatments For Mitigating Wildfire Risk And Sequestering Forest Carbon: A Case Study In The Lake Tahoe Basin", "description": "Fuel-reduction treatments are used extensively to reduce wildfire risk and restore forest diversity and function. In the near future, increasing regulation of carbon (C) emissions may force forest managers to balance the use of fuel treatments for reducing wildfire risk against an alternative goal of C sequestration. The objective of this study was to evaluate how long-term fuel treatments mitigate wildfires and affect forest C. For the Lake Tahoe Basin in the central Sierra Nevada, USA, fuel treatment efficiency was explored with a landscape-scale simulation model, LANDIS-II, using five fuel treatment scenarios and two (contemporary and potential future) fire regimes. Treatment scenarios included applying a combination of light (hand) and moderate (mechanical) forest thinning continuously through time and transitioning from these prescriptions to a more mid-seral thinning prescription, both on a 15 and 30 year rotation interval. In the last scenario, fuel treatments were isolated to around the lake shore (nearby urban settlement) to simulate a low investment alternative were future resources may be limited. Results indicated that the forest will remain a C sink regardless of treatment or fire regime simulated, due to the landscape legacy of historic logging. Achievement of a net C gain required decades with intensive treatment and depended on wildfire activity: Fuel treatments were more effective in a more active fire environment, where the interface between wildfires and treatment areas increased and caused net C gain earlier than as compared to our scenarios with less wildfire activity. Fuel treatments were most effective when continuously applied and strategically placed in high ignition areas. Treatment type and re-application interval were less influential at the landscape scale, but had notable effects on species dynamics within management units. Treatments created more diverse forest conditions by shifting dominance patterns to a more mixed conifer system, with a higher proportion of fire-tolerant species. We demonstrated that a small amount of wildfire on the landscape resulted in significant changes in the C pool, and that strategically placed fuel treatments substantially reduced wildfire risk, increased fire resiliency of the forest, and is beneficial for long-term C management. Implications for landscape management included consideration for prioritization of treatment areas and creating ideal re-entry schedules that meet logistic, safety, and conservation goals. In forests with a concentrated wildland urban interface, fuel treatments may be vital for ensuring human welfare and enhancing forest integrity in a fire-prone future. Published by Elsevier B.V.", "keywords": ["0106 biological sciences", "Environmental Indicators and Impact Assessment", "Firescaping", "Wildfire risk", "13. Climate action", "11. Sustainability", "Natural Resources Management and Policy", "Carbon sequestration -- California -- Case studies", "Prescribed burning", "Forest management -- California -- Lake Tahoe basin", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.foreco.2014.03.011"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forest%20Ecology%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.foreco.2014.03.011", "name": "item", "description": "10.1016/j.foreco.2014.03.011", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foreco.2014.03.011"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-07-01T00:00:00Z"}}, {"id": "10.1016/j.envpol.2005.01.007", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:55Z", "type": "Journal Article", "created": "2005-03-15", "title": "Organochlorine Compounds In Soils And Sediments Of The Mountain Andean Lakes", "description": "Semi-volatile organochlorine compounds (OC) were analyzed in remote Andean soils and lake sediments. The sampling sites covered a wide latitudinal gradient from 18 degrees S to 46 degrees S along Chile and an altitudinal gradient (10-4500 m). The concentrations were in the order of background levels, involving absence of major pollution sources in the high mountain areas. Significant correlations were found between log-transformed concentrations of hexachlorobenzene, alpha- and gamma-hexachlorocyclohexane in soils and total organic content (TOC). In addition, TOC-normalized concentrations of the most volatile OC showed a significant linear dependence with air temperature. This good agreement points to temperature as a significant factor for the retention of long range transported OC in remote ecosystems such as the Andean mountains, although other variables should not be totally excluded. The highest concentrations of OCs were achieved in the sites located at highest altitude and lowest temperature of the dataset.", "keywords": ["Geologic Sediments", "Altitude", "lake sediments", "Temperature", "organochlorine compounds; Andean range; long range transport; soil; lake sediments", "Fresh Water", "Organochlorine compounds", "15. Life on land", "01 natural sciences", "Lake sediments", "soil", "organochlorine compound", "Andean range", "Long range transport", "Soil", "13. Climate action", "Hydrocarbons", " Chlorinated", "Soil Pollutants", "Chile", "long range transport", "Environmental Monitoring", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2005.01.007"}, {"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.2005.01.007", "name": "item", "description": "10.1016/j.envpol.2005.01.007", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2005.01.007"}, {"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.jrmge.2020.04.003", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:16:31Z", "type": "Journal Article", "created": "2020-06-15", "title": "Combined approach of poroelastic and earthquake nucleation applied to the reservoir-induced seismic activity in the Val d\u2019Agri area, Italy", "description": "Open AccessIn this work, an approach is developed to study the seismicity associated with the impoundment and level changes of a water reservoir (reservoir induced seismicity \u2013 RIS). The proposed methodology features a combination of a semi-analytical poroelastic model with an earthquake nucleation approach based on rate-and-state frictional law. The combined approach was applied to the case of the Pertusillo Lake, located in the Val d\u2019Agri area (Italy), whose large seasonal water level changes are believed to induce protracted micro-seismicity (local magnitude ML < 3). Results show that the lake impoundment in 1962 could have produced up to 0.5 bar (1 bar = 100 kPa) changes in Coulomb failure stress (\u0394CFS), while the seasonal water level variation is responsible for variation up to 0.05 bar. Modeling results of the seismicity rates in 2001\u22122014 show that the observed earthquakes are well correlated with the modeled \u0394CFS. Finally, the reason that the seismicity is only observed at southwest of the Pertusillo Lake is provided, which is likely attributed to different rock lithologies and depletion caused by significant hydrocarbon exploitation in the northeastern sector of the lake.", "keywords": ["550", "Rate-and-state frictional law", "Pertusillo lake", "Reservoir induced seismicity (RIS); Poroelasticity; Rate-and-state frictional law; Pertusillo lake", "TA703-712", "Reservoir induced seismicity (RIS)", "Engineering geology. Rock mechanics. Soil mechanics. Underground construction", "Poroelasticity", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.jrmge.2020.04.003"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Rock%20Mechanics%20and%20Geotechnical%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jrmge.2020.04.003", "name": "item", "description": "10.1016/j.jrmge.2020.04.003", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jrmge.2020.04.003"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-01T00:00:00Z"}}, {"id": "10.1029/2018je005802", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:31Z", "type": "Journal Article", "created": "2019-01-22", "title": "Geological Evidence of Planet\u2010Wide Groundwater System on Mars", "description": "Abstract<p>The scale of groundwater upwelling on Mars, as well as its relation to sedimentary systems, remains an ongoing debate. Several deep craters (basins) in the northern equatorial regions show compelling signs that large amounts of water once existed on Mars at a planet\uffe2\uff80\uff90wide scale. The presence of water\uffe2\uff80\uff90formed features, including fluvial Gilbert and sapping deltas fed by sapping valleys, constitute strong evidence of groundwater upwelling resulting in long term standing bodies of water inside the basins. Terrestrial field evidence shows that sapping valleys can occur in basalt bedrock and not only in unconsolidated sediments. A hypothesis that considers the elevation differences between the observed morphologies and the assumed basal groundwater level is presented and described as the \uffe2\uff80\uff9cdike\uffe2\uff80\uff90confined water\uffe2\uff80\uff9d model, already present on Earth and introduced for the first time in the Martian geological literature. Only the deepest basins considered in this study, those with bases deeper than \uffe2\uff88\uff924000\uffc2\uffa0m in elevation below the Mars datum, intercepted the water\uffe2\uff80\uff90saturated zone and exhibit evidence of groundwater fluctuations. The discovery of these groundwater discharge sites on a planet\uffe2\uff80\uff90wide scale strongly suggests a link between the putative Martian ocean and various configurations of sedimentary deposits that were formed as a result of groundwater fluctuations during the Hesperian period. This newly recognized evidence of water\uffe2\uff80\uff90formed features significantly increases the chance that biosignatures could be buried in the sediment. These deep basins (groundwater\uffe2\uff80\uff90fed lakes) will be of interest to future exploration missions as they might provide evidence of geological conditions suitable for life.</p>", "keywords": ["13. Climate action", "0103 physical sciences", "Gilbert Delta; Mars; groundwater; lakes; sapping valley; sedimentology.", "15. Life on land", "01 natural sciences", "Research Articles", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://ricerca.unich.it/bitstream/11564/702001/1/Salese_et_al-2019-Journal_of_Geophysical_Research__Planets-print.pdf"}, {"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2018JE005802"}, {"href": "https://doi.org/10.1029/2018je005802"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Planets", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2018je005802", "name": "item", "description": "10.1029/2018je005802", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2018je005802"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-02-01T00:00:00Z"}}, {"id": "10.1089/ast.2020.2228", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:18:16Z", "type": "Journal Article", "created": "2020-05-21", "title": "Estimated Minimum Life Span of the Jezero Fluvial Delta (Mars)", "description": "The paleo-lake floor at the edge of the Jezero delta has been selected as the NASA 2020 rover landing site. In this article, we demonstrate the sequences of lake filling and delta formation and constrain the minimum life span of the Jezero paleo-lake from sedimentological and hydrological analyses. Two main phases of delta evolution can be recognized by utilizing imagery provided by the High Resolution Imaging Science Experiment (NASA Mars Reconnaissance Orbiter) and High Resolution Stereo Camera (ESA Mars Express): (1) basin infilling before the breaching of the Jezero rim and (2) the delta formation itself. Our results suggest that delta formation occurred over a minimum period of 90-550 years of hydrological activity. Breaching of the Jezero rim occurred in at least three distinct episodes, which spanned a far longer time-period than overall delta formation. This evolutionary history implies that the Jezero-lake floor would have been a haven for fine-grained sediment accumulation and hosted an active environment of significant astrobiological importance.", "keywords": ["Geologic Sediments", "Evolution", " Chemical", "550", "Extraterrestrial Environment", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Mars", "Neretva Vallis", "15. Life on land", "Jezero fan-delta", "Agricultural and Biological Sciences (miscellaneous)", "01 natural sciences", "Fluvial activity", "Lake", "Lakes", "[SDU.STU.PL]Sciences of the Universe [physics]/Earth Sciences/Planetology", "Space and Planetary Science", "13. Climate action", "Taverne", "Exobiology", "0103 physical sciences", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "Sedimentology", " Fluvial activity", " Jezero fan-delta", " Lake", " Landing site", " Mars", " Neretva Vallis", "[SDU.STU.PL] Sciences of the Universe [physics]/Earth Sciences/Planetology", "Landing site", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.liebertpub.com/doi/pdf/10.1089/ast.2020.2228"}, {"href": "https://doi.org/10.1089/ast.2020.2228"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Astrobiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1089/ast.2020.2228", "name": "item", "description": "10.1089/ast.2020.2228", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1089/ast.2020.2228"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-01T00:00:00Z"}}, {"id": "10.5061/dryad.h8j5648", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:29Z", "type": "Dataset", "title": "Data from: An affordable and reliable assessment of aquatic decomposition: tailoring the Tea Bag Index to surface waters", "description": "Open AccessLitter decomposition is a vital part of the global carbon cycle as it  determines not only the amount of carbon to be sequestered, but also how  fast carbon re-enters the cycle. Freshwater systems play an active role in  the carbon cycle as it receives, and decomposes, terrestrial litter  material alongside decomposing aquatic plant litter. Decomposition of  organic matter in the aquatic environment is directly controlled by water  temperature and nutrient availability, which are continuously affected by  global change. We adapted the Tea Bag Index (TBI), a highly standardized  methodology for determining soil decomposition, for lakes by incorporating  a leaching factor. By placing Lipton pyramid tea bags in the aquatic  environment for 3 hours, we quantified the period of intense leaching  which usually takes place prior to litter (tea) decomposition. Standard  TBI methodology was followed after this step to determine how fast  decomposition takes place (decomposition rate, k1) and how much of the  material cannot be broken down and is thus sequestered (stabilization  factor, S). A Citizen Science project was organized to test the aquatic  TBI in 40 European lakes located in four climate zones, ranging from  oligotrophic to hypereutrophic systems. We expected that warmer and/or  eutrophic lakes would have a higher decomposition rate and a more  efficient microbial community resulting in less tea material to be  sequestered. The overall high decomposition rates (k1) found confirm the  active role lakes play in the global carbon cycle. Across climate regions  the lakes in the warmer temperate zone displayed a higher decomposition  rate (k1) compared to the colder lakes in the continental and polar zones.  Across trophic states, decomposition rates were higher in eutrophic lakes  compared to oligotrophic lakes. Additionally, the eutrophic lakes showed a  higher stabilization (S), thus a less efficient microbial community,  compared to the oligotrophic lakes, although the variation within this  group was high. Our results clearly show that the TBI can be used to  adequately assess the decomposition process in aquatic systems. Using  \u201calien standard litter\u201d such as tea provides a powerful way to compare  decomposition across climates, trophic states and ecosystems. By providing  standardized protocols, a website, as well as face to face meetings, we  also showed that collecting scientifically relevant data can go hand in  hand with increasing scientific and environmental literacy in  participants. Gathering process-based information about lake ecosystems  gives managers the best tools to anticipate and react to future global  change. Furthermore, combining this process-based information with citizen  science, thus outreach, is in complete agreement with the Water Framework  Directive goals as set in 2010.", "keywords": ["decomposition constant", "Verwerkte data", "European lakes", "european lakes", "Carbon cycle", "15. Life on land", "6. Clean water", "13. Climate action", "carbon cycle", "citizen science", "Processed data", "14. Life underwater", "lake management", "standardized ecological assay"], "contacts": [{"organization": "Seelen, Laura, Flaim, Giovanna, Keuskamp, Joost, Teurlincx, Sven, Arias Font, Raquel, Tolunay, Duygu, Fr\u00e1nkov\u00e1, Mark\u00e9ta, \u0160umberov\u00e1, Kate\u0159ina, Temponeras, Maria, Lenhardt, Mirjana, Jennings, Eleanor, de Senerpont Domis, L.N.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.h8j5648"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.h8j5648", "name": "item", "description": "10.5061/dryad.h8j5648", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.h8j5648"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.2166/wp.2023.057", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:20:23Z", "type": "Journal Article", "created": "2023-06-09", "title": "Defining sustainability in agricultural water management using a Delphi survey technique", "description": "Abstract                <p/>                <p>Sustainable water management measures are being developed to address the challenges posed by agriculture runoff and leaching on water resources. These measures are based on experts' opinions from various sectors and disciplines, ensuring that all stakeholders' perspectives are considered. For this, establishing a common understanding of 'sustainability' is essential to avoid misunderstandings, conflicts, and operational challenges. In this research, the Delphi survey technique was utilized to develop a definition of \uffe2\uff80\uff98sustainability\uffe2\uff80\uff99 in agricultural water management (SAWM) by considering the interdisciplinary group of experts from different parts of the world and those involved in a Horizon 2020 Research and Innovation Action. Twenty-six experts' perspectives on environmental, economic, and social dimensions of sustainability were assessed, and identified key concepts included climate change, water quality, water availability, stakeholder participation, capacity building, subsidies, and incentives. These concepts were used to define sustainability for multi/interdisciplinary project settings. The definition was validated with consortium members of the project in the regular consortium-wide meetings and used in the respective deliverables dealing with sustainability. The results serve as a foundation for communication between the involved actors and the project's definition of 'sustainability.' One recommendation from this work for broader policy formulation for SAWM in Europe is to prioritize farmer needs and focus on environmental sustainability.</p", "keywords": ["0211 other engineering and technologies", "02 engineering and technology", "water quality", "01 natural sciences", "12. Responsible consumption", "River", " lake", " and water-supply engineering (General)", "expert knowledge", "11. Sustainability", "Stakeholder", "Climate change", "stakeholder", "Water policy", "agriculture", "0105 earth and related environmental sciences", "2. Zero hunger", "TC401-506", "Multidisciplinary", "Agriculture", "15. Life on land", "6. Clean water", "Water quality", "climate change", "13. Climate action", "water policy", "Expert knowledge", "multidisciplinary"]}, "links": [{"href": "https://iwaponline.com/wp/article-pdf/25/6/597/1421438/025060597.pdf"}, {"href": "https://doi.org/10.2166/wp.2023.057"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water%20Policy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2166/wp.2023.057", "name": "item", "description": "10.2166/wp.2023.057", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2166/wp.2023.057"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-06-01T00:00:00Z"}}, {"id": "10.34894/XK4LSU", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:09Z", "type": "Dataset", "title": "Porewater \u03b413CDOC Indicates Variable Extent Of Degradation In Different Talik Layers Of Coastal Alaskan Thermokarst Lakes", "description": "The data set includes the results of geochemical and sediment analyses on 7 sediment cores (63.2 cm - 86.5 cm) from two northern Alaskan thermokarst lakes (Emaiksoun and Unnamed Lake). The analysis include lake depth measurements, linescan imaging, XRF scans, grainsize distribution, loss on ignition, porewater content, magnetic susceptibility, dissolved organic carbon concentration, sediment density, stable carbon isotope measurements dissolved organic carbon and soil organic carbon and radiocarbon ages.", "keywords": ["Earth and Environmental Science", "13. Climate action", "Earth and Environmental Sciences", "Thermokarst Lake", "Dissolved Organic Carbon", "Permafrost", "15. Life on land", "Environmental Research", "Natural Sciences", "Geosciences", "Alaska"], "contacts": [{"organization": "Meisel, Ove", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.34894/XK4LSU"}, {"rel": "self", "type": "application/geo+json", "title": "10.34894/XK4LSU", "name": "item", "description": "10.34894/XK4LSU", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.34894/XK4LSU"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.34894/NPT2CF", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:09Z", "type": "Dataset", "title": "Data: Geochemical, sedimentological and microbial diversity in two thermokarst lakes of Far Eastern Siberia", "description": "The data set includes the results of biogeochemical and sedimentary analyses on 4 sediment cores (69.5 cm - 113 cm) from two thermokarst lakes in Far East Siberia near the town of Chokurdakh. The analysis include lake depth measurements, linescan imaging, XRF scans, grainsize distribution, loss-on-ignition, porewater content, magnetic susceptibility, dissolved organic carbon (DOC) concentration, sediment density, stable carbon isotope measurements of DOC and soil organic carbon and radiocarbon ages.", "keywords": ["Earth and Environmental Science", "Yedoma", "Arctic permafrost", "Thermokarst lakes; Far East Siberia; Arctic permafrost; Yedoma; SOC; Microbial Diversity", "Earth and Environmental Sciences", "Far East Siberia", "Thermokarst lakes", "SOC", "15. Life on land", "Environmental Research", "Natural Sciences", "Geosciences", "Microbial Diversity"], "contacts": [{"organization": "Meisel, Ove H., Rijkers, Ruud, Dean, Joshua F., In 'T Zandt, Michiel H., Van Huissteden, Ko, Maximov, Trofim C., Karsanaev, Sergey V., Marchesini Belelli, Luca, Goovaerts, Arne, Wacker, Lukas, Reichart, Gert-Jan, Bouillon, Steven, Welte, Cornelia U., Jetten, Mike S. M., Vonk, Jorien E., Dolman, Han,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.34894/NPT2CF"}, {"rel": "self", "type": "application/geo+json", "title": "10.34894/NPT2CF", "name": "item", "description": "10.34894/NPT2CF", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.34894/NPT2CF"}, {"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": "10.5281/zenodo.15024429", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:22:44Z", "type": "Dataset", "title": "Climate change and the transformation of non-toxic sediments into toxic soils", "description": "RestrictedENG: In recent years, the floodplain lakes of the Vistula River in Poland have been drying up and the sediments have been transforming into soils. The data show changes in physical and chemical properties between the sediments and the soils that developed from them. The study included texture, pH, hydrolytic acidity, total alkaline cations, total nitrogen, organic carbon, total content of Al, Ca, Fe, K, Mg, Mn, Na, P as well as heavy metals (Cd, Cr, Cu, Ni, Pb, Zn) and their speciation. In addition, a toxicity assessment of both materials was performed.   PL: W ostatnich latach starorzecza Wis\u0142y wysychaj\u0105, a osady przekszta\u0142caj\u0105 si\u0119 w gleby. Dane pokazuj\u0105 zmiany w\u0142a\u015bciwo\u015bci fizycznych i chemicznych mi\u0119dzy osadami a glebami, kt\u00f3re si\u0119 z nich wykszta\u0142ci\u0142y. Badania obejmowa\u0142y uziarnienie, pH, kwasowo\u015b\u0107 hydrolityczn\u0105, ca\u0142kowit\u0105 zawarto\u015b\u0107 kation\u00f3w zasadowych, azot ca\u0142kowity, w\u0119giel organiczny, ca\u0142kowit\u0105 zawarto\u015b\u0107 Al, Ca, Fe, K, Mg, Mn, Na, P, a tak\u017ce metali ci\u0119\u017ckich (Cd, Cr, Cu, Ni, Pb, Zn) i ich specjacj\u0119. Ponadto przeprowadzono ocen\u0119 toksyczno\u015bci obydwu materia\u0142\u00f3w.", "keywords": ["small lakes", "climate change", "13. Climate action", "sediments", "toxicity assessment", "15. Life on land", "heavy metals", "heavy metal speciation", "6. Clean water", "soil"], "contacts": [{"organization": "Gmitrowicz-Iwan, Joanna", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15024429"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15024429", "name": "item", "description": "10.5281/zenodo.15024429", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15024429"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-09-27T00:00:00Z"}}, {"id": "20.500.11850/545765", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:14Z", "type": "Journal Article", "created": "2022-03-01", "title": "Functional structure of plant communities along salinity gradients in Iranian salt marshes", "description": "Abstract<p>Salt marshes are unique habitats between sea or saline lakes and land that need to be conserved from the effects of global change. Understanding the variation in functional structure of plant community along environmental gradients is critical to predict the response of plant communities to ongoing environmental changes. We evaluated the changes in the functional structure of halophytic communities along soil gradients including salinity, in Iranian salt marshes; Lake Urmia, Lake Meyghan, Musa estuary, and Nayband Bay (Iran). We established 48 plots from 16 sites in four salt marshes and sampled 10 leaves per species to measure leaf functional traits. Five soil samples were sampled from each plot and 30 variables were analyzed. We examined the changes in the functional structure of plant communities (i.e., functional diversity [FD] and community weighted mean [CWM]) along local soil gradients using linear mixed effect models. Our results showed that FD and CWM of leaf thickness tended to increase with salinity, while those indices related to leaf shape decreased following soil potassium content. Our results suggest that the variations in functional structure of plant communities along local soil gradients reveal the effect of different ecological processes (e.g., niche differentiation related to the habitat heterogeneity) that drive the assembly of halophytic plant communities in SW Asian salt marshes.</p", "keywords": ["0106 biological sciences", "Salt marsh", "functional structure", "standardized effect size", "null model", "Botany", "Null model", "Lake Urmia", "Trait-based ecology", "15. Life on land", "01 natural sciences", "Environmental sciences", "Functional trait", "salt marsh", "13. Climate action", "QK1-989", "trait-based ecology", "Standardized effect size", "GE1-350", "functional structure; functional trait; Lake Urmia; null model; salt marsh; standardized effect size; trait-based ecology", "functional trait", "Research Articles", "Functional structure"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1002/pei3.10070"}, {"href": "https://doi.org/20.500.11850/545765"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant-Environment%20Interactions", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.11850/545765", "name": "item", "description": "20.500.11850/545765", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11850/545765"}, {"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": "2078.1/275451", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:21Z", "type": "Journal Article", "created": "2023-06-02", "title": "Mineral organic carbon interactions in dry versus wet tundra soils", "description": "Mineral organic carbon interactions (aggregation, organo-mineral associations and organo-metallic complexes) enhance the protection of organic carbon (OC) from microbial degradation in soils. The northern circumpolar permafrost region stores between 1,440 and 1,600 Pg OC of which a significant portion is already thawed or about to thaw in coming years. In the light of this tipping point for climate change, any mechanism that can promote OC stabilization and hence mitigate OC mineralization and greenhouse gas emissions is of crucial interest. Here, we study interactions between metals (Fe, Al, Mn and Ca) and OC in the moist acidic tundra ecosystem of Eight Mile Lake, near Healy, AK, USA. We collected thirteen cores (124 soil samples) in late summer 2019 with shallow and deep active layers (45 to 109 cm deep) and varying water table depths. We find that between 6% and 59% of total OC in Eight Mile Lake tundra soils is mineral-associated (mean 20%), in organomineral associations (association between poorly crystalline oxides and OC) and in organo-metallic complexes (associations between Fe, Mn, Al, Ca polyvalent cations and organic acids). We find that total Fe and Mn concentrations can be used as good proxies to assess the reactive pool of these metals able to form associations with OC, i.e., poorly crystalline oxides or metals complexed with OC. We observe that in the active layer, mineral OC interactions are mostly as organo-metallic complexes with Fe cations, with an accumulation at the water table level acting as a soil redox interface. In waterlogged soils with a water table level above surface, no such accumulation of OC-Fe complexes is found due to the absence of a redox interface below soil surface. In the permafrost layer, we find that a combination of complexed metals and poorly crystalline Fe oxides act as reactive phases towards OC. Knowing that upon permafrost thaw tundra soils will become wetter or drier, the assessment of mineral-bound OC in drier or wetter tundra soils is a needed step to better constrain the changes in the proportion of non-protected OC more likely to contribute to C emissions from tundra soils.", "keywords": ["mineral-associated organic carbon", "metal complexation", "Permafrost", "eight mile lake", "Thawing"]}, "links": [{"href": "https://doi.org/2078.1/275451"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2078.1/275451", "name": "item", "description": "2078.1/275451", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2078.1/275451"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-08-01T00:00:00Z"}}, {"id": "21.11116/0000-0006-8251-B", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:22Z", "type": "Journal Article", "created": "2020-06-05", "title": "An international laboratory comparison of dissolved organic matter composition by high resolution mass spectrometry: Are we getting the same answer?", "description": "Abstract<p>High\uffe2\uff80\uff90resolution mass spectrometry (HRMS) has become a vital tool for dissolved organic matter (DOM) characterization. The upward trend in HRMS analysis of DOM presents challenges in data comparison and interpretation among laboratories operating instruments with differing performance and user operating conditions. It is therefore essential that the community establishes metric ranges and compositional trends for data comparison with reference samples so that data can be robustly compared among research groups. To this end, four identically prepared DOM samples were each measured by 16 laboratories, using 17 commercially purchased instruments, using positive\uffe2\uff80\uff90ion and negative\uffe2\uff80\uff90ion mode electrospray ionization (ESI) HRMS analyses. The instruments identified ~1000 common ions in both negative\uffe2\uff80\uff90 and positive\uffe2\uff80\uff90ion modes over a wide range of m/z values and chemical space, as determined by van Krevelen diagrams. Calculated metrics of abundance\uffe2\uff80\uff90weighted average indices (H/C, O/C, aromaticity, and m/z) of the commonly detected ions showed that hydrogen saturation and aromaticity were consistent for each reference sample across the instruments, while average mass and oxygenation were more affected by differences in instrument type and settings. In this paper we present 32 metric values for future benchmarking. The metric values were obtained for the four different parameters from four samples in two ionization modes and can be used in future work to evaluate the performance of HRMS instruments.</p", "keywords": ["STRUCTURAL-CHARACTERIZATION", "ELECTROSPRAY-IONIZATION", "PONY LAKE", "550", "FTICR-MS", "Characterization", "Pony lake", "Marine Biology", "Oceanografi", " hydrologi och vattenresurser", "01 natural sciences", "Electrospray ionization", "River sediments", "Oceanography", " Hydrology and Water Resources", "Compostos org\u00e0nics", "[CHIM] Chemical Sciences", "Organic compounds", "RIVER", "Atmospheric pressure photoionization", "[CHIM]Chemical Sciences", "MOLECULAR CHARACTERIZATION", "0105 earth and related environmental sciences", "River", "Marine", "Fulvic acids", "Sediments fluvials", "Molecular", "ESI-MS", "Oceanography and Atmospheric Sciences and Meteorology", "Structural characterization", "620", "0104 chemical sciences", "FULVIC-ACIDS", "13. Climate action", "ATMOSPHERIC-PRESSURE PHOTOIONIZATION", "MARINE", "Fresh Water Studies"]}, "links": [{"href": "https://aslopubs.onlinelibrary.wiley.com/doi/pdf/10.1002/lom3.10364"}, {"href": "https://digitalcommons.odu.edu/context/chemistry_fac_pubs/article/1185/viewcontent/Hatcher_2020_AnInternationalLaboratoryComparisonofDissolvedOCR.pdf"}, {"href": "https://doi.org/21.11116/0000-0006-8251-B"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Limnology%20and%20Oceanography%3A%20Methods", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "21.11116/0000-0006-8251-B", "name": "item", "description": "21.11116/0000-0006-8251-B", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/21.11116/0000-0006-8251-B"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-01T00:00:00Z"}}, {"id": "116d7828-7f69-4896-8d7a-09585f70d493", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[13.46, 53.29], [13.46, 53.43], [13.88, 53.43], [13.88, 53.29], [13.46, 53.29]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "Fusarium"}, {"id": "Fusarium culmorum"}, {"id": "Fusarium equiseti"}, {"id": "Fusarium oxysporum"}, {"id": "Fusarium sporotrichioides"}, {"id": "Gibberella zeae"}, {"id": "Fusarium solani"}, {"id": "Alternaria"}, {"id": "winter wheat"}, {"id": "weeds"}, {"id": "mycotoxins"}, {"id": "trichothecenes"}, {"id": "zearalenone"}, {"id": "quantitative polymerase chain reaction"}, {"id": "kettle holes"}, {"id": "glacial lakes"}, {"id": "ponds"}, {"id": "pathogenic fungi"}, {"id": "pathogens"}, {"id": "agricultural sciences"}, {"id": "agricultural landscape"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}, {"id": "Lebensr\u00e4ume und Biotope"}, {"id": "Verteilung der Arten"}, {"id": "Landwirtschaft"}, {"id": "Wissenschaft"}, {"id": "Bodennutzung"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Germany"}, {"id": "Brandenburg"}, {"id": "Uckermark"}, {"id": "Quillow"}], "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": "2023-11-14", "type": "Dataset", "created": "2023-07-20", "language": "eng", "title": "Fusarium abundance and diversity and Alternaria abundance on weeds and wheat ears in transitions zones between kettle hole edge and field and field edge and field.       - Abundance of Fusaria and Alternaria on weed plants", "description": "The table contains the abundances of Fusarium and Alternaria detected on weed plants determined by qPCR and culture-dependent methods (potato dextrose agar with chloramphenicol). \n\nGeneral description see mother table: (https://doi.org/10.4228/zalf-zh6h-df38); Related datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "Fusarium", "Fusarium culmorum", "Fusarium equiseti", "Fusarium oxysporum", "Fusarium sporotrichioides", "Gibberella zeae", "Fusarium solani", "Alternaria", "winter wheat", "weeds", "mycotoxins", "trichothecenes", "zearalenone", "quantitative polymerase chain reaction", "kettle holes", "glacial lakes", "ponds", "pathogenic fungi", "pathogens", "agricultural sciences", "agricultural landscape", "opendata", "Boden", "Lebensr\u00e4ume und Biotope", "Verteilung der Arten", "Landwirtschaft", "Wissenschaft", "Bodennutzung", "Germany", "Brandenburg", "Uckermark", "Quillow"], "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": null}]}, {"name": "Marina Gerling", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Marina.Gerling@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Str. 84"], "city": "D-15374 M\u00fcnchberg", "administrativeArea": "Brandenburg", "postalCode": null, "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-7039-5499", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Marina M\u00fcller", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "mmueller@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Str.84"], "city": "D-14374 M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": null, "country": "Germany"}], "links": [{"href": null}]}, {"name": "Michael Glemnitz", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "mglemnitz@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Str.84"], "city": "D-15374 M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": null, "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-6506-1889", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Grit von der Waydbrink", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["dataCurator"], "phones": [{"value": null}], "emails": [{"value": "grit.waydbrink@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Str. 84"], "city": "D-15374 M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": null, "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research", "roles": ["contributor"]}], "title_alternate": "Data collection: Part 1/3 ,table: Abundance of Fusaria and Alternaria on weed plants"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=616f4686-078a-4d60-9fd5-3629389010a1", "rel": "information"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/616f4686-078a-4d60-9fd5-3629389010a1", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "116d7828-7f69-4896-8d7a-09585f70d493", "name": "item", "description": "116d7828-7f69-4896-8d7a-09585f70d493", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/116d7828-7f69-4896-8d7a-09585f70d493"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2019-05-01T00:00:00Z", "2020-07-19T00:00:00Z"]}}, {"id": "307f5669-0ada-416f-9dda-27d71b0b7b75", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[13.46, 53.29], [13.46, 53.43], [13.88, 53.43], [13.88, 53.29], [13.46, 53.29]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "Fusarium"}, {"id": "Fusarium culmorum"}, {"id": "Fusarium equiseti"}, {"id": "Fusarium oxysporum"}, {"id": "Fusarium sporotrichioides"}, {"id": "Gibberella zeae"}, {"id": "Fusarium solani"}, {"id": "Alternaria"}, {"id": "winter wheat"}, {"id": "weeds"}, {"id": "mycotoxins"}, {"id": "trichothecenes"}, {"id": "zearalenone"}, {"id": "quantitative polymerase chain reaction"}, {"id": "kettle holes"}, {"id": "glacial lakes"}, {"id": "ponds"}, {"id": "pathogenic fungi"}, {"id": "pathogens"}, {"id": "agricultural sciences"}, {"id": "agricultural landscape"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}, {"id": "Lebensr\u00e4ume und Biotope"}, {"id": "Verteilung der Arten"}, {"id": "Landwirtschaft"}, {"id": "Wissenschaft"}, {"id": "Bodennutzung"}], "scheme": "GEMET - 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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the 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": "2023-11-14", "type": "Dataset", "created": "2023-07-20", "language": "eng", "title": "Fusarium abundance and diversity and Alternaria abundance on weeds and wheat ears in transitions zones between kettle hole edge and field and field edge and field.       - Mycotoxin content of the harvest samples", "description": "The table shows the concentrations of the mycotoxins deoxynivalenol DON and zearalenone ZEA in the wheat crop samples at the different transect points. \n\nGeneral description see mother table: (https://doi.org/10.4228/zalf-zh6h-df38); Related datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "Fusarium", "Fusarium culmorum", "Fusarium equiseti", "Fusarium oxysporum", "Fusarium sporotrichioides", "Gibberella zeae", "Fusarium solani", "Alternaria", "winter wheat", "weeds", "mycotoxins", "trichothecenes", "zearalenone", "quantitative polymerase chain reaction", "kettle holes", "glacial lakes", "ponds", "pathogenic fungi", "pathogens", "agricultural sciences", "agricultural landscape", "opendata", "Boden", "Lebensr\u00e4ume und Biotope", "Verteilung der Arten", "Landwirtschaft", "Wissenschaft", "Bodennutzung", "Germany", "Brandenburg", "Uckermark", "Quillow"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - 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version 9.0, Jan. 2016", "description": "EuroRegionalMap v9.0 is a pan-European dataset containing topographic information at the scale 1:250 000 covering: 27 EU member states (excluding Croatia), 4 EFTA states (Liechtenstein, Norway, Iceland, Switzerland), Republic of Moldova, Serbia, Kosovo and Georgia. It is a seamless and harmonised data and is produced in cooperation by the National Mapping and Cadastral Agencies of Europe, using official national databases.\n\nThematic layers: \nAdministrative Boundaries,\nHydrography,\nSettlements,\nTransport,\nPoints of Interests,\nNamed Location,\nMiscellaneous,\nVegetation and \nSoil.", "formats": [{"name": "GDB"}, {"name": "WWW:URL"}], "keywords": ["Soil", "Sea regions", "Hydrography", "Transport networks", "Population distribution \u2014 demography", "Administrative units", "water body", "drainage", "harbour", "estuary", "in situ", "administrative boundary", "transportation", "railway network", "waterfall", "route planning", "maritime transport", "railway", "dam", "car park", "lake", "glacier", "human settlement", "road", "airport", "highway", "geo-referenced data", "national boundary", "railway station", "water (geographic)", "river", "built-up area", "built environment", "inland water", "international watercourse", "artificial lake", "vegetation", "coast", "high-speed railway", "geography", "tidal water", "waterway", "surface water", "Montenegro", "Monaco", "Bosnia and Herzegovina", "North Macedonia", "Andorra", "Serbia", "Kosovo (UNSCR 1244/99)", "Georgia", "Moldova", "EU27 (2007-2013)", "EFTA4", "European"], "denominator": "250000", "edition": "90"}, "links": [{"href": "https://sdi.eea.europa.eu/data/85a5772c-d86c-4d39-bb0a-6140a8486a1b", "name": "Direct download (Eionet authentication)", "protocol": "WWW:URL", "rel": "download"}, {"href": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/85a5772c-d86c-4d39-bb0a-6140a8486a1b.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": "85a5772c-d86c-4d39-bb0a-6140a8486a1b", "name": "item", "description": "85a5772c-d86c-4d39-bb0a-6140a8486a1b", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/85a5772c-d86c-4d39-bb0a-6140a8486a1b"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2015-05-01T00:00:00Z", "2015-12-31T00:00:00Z"]}}, {"id": "313c0c3a-c177-4198-a7de-09b7f6ac3a9d", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-35.0, 27.0], [-35.0, 84.0], [47.0, 84.0], [47.0, 27.0], [-35.0, 27.0]]]}, "properties": {"themes": [{"concepts": [{"id": "transportation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Geographical names"}, {"id": "Utility and governmental services"}, {"id": "Transport networks"}, {"id": "Hydrography"}, {"id": "Soil"}, {"id": "Administrative units"}, {"id": "Land cover"}, {"id": "Sea regions"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "river"}, {"id": "vegetation"}, {"id": "administrative boundary"}, {"id": "car park"}, {"id": "lake"}, {"id": "railway station"}, {"id": "water body"}, {"id": "hydrography"}, {"id": "maritime transport"}, {"id": "airport"}, {"id": "artificial lake"}, {"id": "transportation"}, {"id": "in situ"}, {"id": "geo-referenced data"}, {"id": "human settlement"}, {"id": "international watercourse"}, {"id": "national boundary"}, {"id": "dam"}, {"id": "railway network"}, {"id": "water (geographic)"}, {"id": "surface water"}, {"id": "coast"}, {"id": "harbour"}, {"id": "waterway"}, {"id": "route planning"}, {"id": "high-speed railway"}, {"id": "waterfall"}, {"id": "drainage"}, {"id": "road"}, {"id": "tidal water"}, {"id": "glacier"}, {"id": "data base"}, {"id": "railway"}, {"id": "built-up area"}, {"id": "estuary"}, {"id": "highway"}, {"id": "soil"}, {"id": "geography"}], "scheme": "GEMET"}, {"concepts": [{"id": "Serbia"}, {"id": "Isle of Man"}, {"id": "Kosovo (UNSCR 1244/99)"}, {"id": "EFTA4"}, {"id": "Georgia"}, {"id": "Monaco"}, {"id": "North Macedonia"}, {"id": "Vatican"}, {"id": "San Marino"}, {"id": "Faeroe Islands"}, {"id": "Moldova"}, {"id": "EU27 (2007-2013)"}, {"id": "Andorra"}], "scheme": "Continents, countries, sea regions of the world."}, {"concepts": [{"id": "European"}], "scheme": "http://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}], "rights": "License for further details, refer to Licence/GISCO-LicenseconditionsforEuroGeographicsAdministrativeandTopographicspatialdatasets-080716-1335-618.pdf For dissemination to contractors, the form to be filled in and returned to Eurostat is available under Licence/Data_Request_Form_EuroGeographics.doc", "updated": "2025-10-09T10:43:59.686809Z", "type": "Dataset", "created": "2017-01-20", "language": "eng", "title": "EuroRegionalMap (full European coverage) - version 10.0, Jan. 2017", "description": "EuroRegionalMap is a Pan-European topographic vector dataset at scale 1: 250000, that is seamless and harmonized across boundaries. It is produced in cooperation by the National Mapping Agencies of the participating countries using official national databases. \n\nThematic layers: \nAdministrative Boundaries\nHydrography\nMiscellaneous\nNamed Location\nSettlement\nTransportation\nVegetation and Soil\nPoints of Interests", "formats": [{"name": "GDB"}, {"name": "WWW:URL"}], "keywords": ["Geographical names", "Utility and governmental services", "Transport networks", "Hydrography", "Soil", "Administrative units", "Land cover", "Sea regions", "river", "vegetation", "administrative boundary", "car park", "lake", "railway station", "water body", "hydrography", "maritime transport", "airport", "artificial lake", "transportation", "in situ", "geo-referenced data", "human settlement", "international watercourse", "national boundary", "dam", "railway network", "water (geographic)", "surface water", "coast", "harbour", "waterway", "route planning", "high-speed railway", "waterfall", "drainage", "road", "tidal water", "glacier", "data base", "railway", "built-up area", "estuary", "highway", "soil", "geography", "Serbia", "Isle of Man", "Kosovo (UNSCR 1244/99)", "EFTA4", "Georgia", "Monaco", "North Macedonia", "Vatican", "San Marino", "Faeroe Islands", "Moldova", "EU27 (2007-2013)", "Andorra", "European"], "denominator": "250000", "edition": "10"}, "links": [{"href": "https://sdi.eea.europa.eu/data/313c0c3a-c177-4198-a7de-09b7f6ac3a9d", "name": "Direct download (Eionet authentication)", "protocol": "WWW:URL", "rel": "download"}, {"href": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/313c0c3a-c177-4198-a7de-09b7f6ac3a9d.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": "313c0c3a-c177-4198-a7de-09b7f6ac3a9d", "name": "item", "description": "313c0c3a-c177-4198-a7de-09b7f6ac3a9d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/313c0c3a-c177-4198-a7de-09b7f6ac3a9d"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2016-01-01T00:00:00Z", "2016-12-31T00:00:00Z"]}}, {"id": "ee1b7182-79a7-4974-a9c2-ebca2352a132", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-35.0, 27.0], [-35.0, 84.0], [47.0, 84.0], [47.0, 27.0], [-35.0, 27.0]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Energy resources"}, {"id": "Land use"}, {"id": "Mineral resources"}, {"id": "Production and industrial facilities"}, {"id": "Administrative units"}, {"id": "Geographical names"}, {"id": "Hydrography"}, {"id": "Land cover"}, {"id": "Population distribution \u2014 demography"}, {"id": "Soil"}, {"id": "Protected sites"}, {"id": "Transport networks"}, {"id": "Utility and governmental services"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Monaco"}, {"id": "Serbia"}, {"id": "Moldova"}, {"id": "North Macedonia"}, {"id": "Faeroe Islands"}, {"id": "Kosovo (UNSCR 1244/99)"}, {"id": "Georgia"}, {"id": "Andorra"}, {"id": "EFTA4"}, {"id": "San Marino"}, {"id": "Isle of Man"}, {"id": "Liechtenstein"}, {"id": "Vatican"}, {"id": "EU28 (2013-2020)"}], "scheme": "Continents, countries, sea regions of the world."}, {"concepts": [{"id": "road"}, {"id": "route planning"}, {"id": "drainage"}, {"id": "highway"}, {"id": "in situ"}, {"id": "waterway"}, {"id": "artificial lake"}, {"id": "built-up area"}, {"id": "waterfall"}, {"id": "geography"}, {"id": "airport"}, {"id": "estuary"}, {"id": "dam"}, {"id": "coast"}, {"id": "soil"}, {"id": "glacier"}, {"id": "national boundary"}, {"id": "hydrography"}, {"id": "transportation"}, {"id": "maritime transport"}, {"id": "data base"}, {"id": "car park"}, {"id": "geo-referenced data"}, {"id": "surface water"}, {"id": "tidal water"}, {"id": "high-speed railway"}, {"id": "lake"}, {"id": "railway"}, {"id": "international watercourse"}, {"id": "water (geographic)"}, {"id": "river"}, {"id": "harbour"}, {"id": "human settlement"}, {"id": "railway network"}, {"id": "vegetation"}, {"id": "administrative boundary"}], "scheme": "GEMET"}, {"concepts": [{"id": "European"}], "scheme": "http://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}], "rights": "The Commission will store the geographic data set on a central server that is accessible by Commission staff. Eurostat will distribute parts or the entire data within the Commission, to the EU Executive Agencies and to subcontractors. The Commission is authorised to use the geographic data as follows: (1) As geographic reference, i.e. creating a geographical context for other data. (2) For the production of maps, publications, posters, presentations and statistical analysis. (3) For deriving new geographic datasets by applying data manipulation procedures, e.g. combining different geographic datasets, generalisation procedures including smoothing and dropping of spatial features, adding new attribute information. Examples of derived geographic data are the NUTS map or the Trans European Transport Network. (4) For distributing the geographic data within the Commission as well as to the public in the form of publications, posters, presentations, derived analysed statistical data and derived geographic datasets. (5) For inclusion of the geographic data as map services in other applications provided that it will not possible to extract the original geographic data. For spatial analysis and for mapping of results of these analysis.\nThe license conditions are spelled out in the \"LicenseConditions.pdf\" document provided together with the dataset.", "updated": "2025-10-09T11:21:42.131116Z", "type": "Dataset", "created": "2018-05-01", "language": "eng", "title": "EuroRegionalMap (full European coverage) - version 11.1, Dec. 2017", "description": "EuroRegionalMap (ERM) is a Pan-European topographic vector dataset at scale 1:250000, that is seamless and harmonized across boundaries. It is produced in cooperation by the National Mapping Agencies of the participating countries (NMCAs) using official national databases. \nThematic layers: Administrative Boundaries (BND), Hydrography (HYDRO), Miscellaneous (MISC), Named Location (NAME), Settlement (POP), Transportation (TRANS), Vegetation and Soils (VEG) as well as Points of Interest.\nThis metadata refers to the version 11.1 of ERM. \nFor more information about the data product specifications and changes with respect to the previous version of this dataset (ERM v11 and ERMv10), please refer to the documents \"ERM_v11-1_DataSpecification_EuroStat.pdf\", \"ERM_v11_TechnicalGuide.pdf\" and \"ERM(EC)_v11.1_Lineage_FullEurope.doc\" provided with the dataset. Main changes with respect to these previous versions are that the NMCAs updated BND, HYDRO, MISC and NAME thematic layers, and that the Directorate-General for Mobility and Transport (DG MOVE) of the European Commission identified the Trans-European Transport Network for roads, railways, airports, ports and the watercourse system.\nThis metadata has been slightly adapted from the original metadata file provided by EuroGeographics and is to be used only for internal EEA purposes. For reference, the original metadata file created by EuroGeographics is provided together with the dataset under the \"metadata\" folder.", "formats": [{"name": "SHP"}, {"name": "WWW:URL"}], "keywords": ["Energy resources", "Land use", "Mineral resources", "Production and industrial facilities", "Administrative units", "Geographical names", "Hydrography", "Land cover", "Population distribution \u2014 demography", "Soil", "Protected sites", "Transport networks", "Utility and governmental services", "Monaco", "Serbia", "Moldova", "North Macedonia", "Faeroe Islands", "Kosovo (UNSCR 1244/99)", "Georgia", "Andorra", "EFTA4", "San Marino", "Isle of Man", "Liechtenstein", "Vatican", "EU28 (2013-2020)", "road", "route planning", "drainage", "highway", "in situ", "waterway", "artificial lake", "built-up area", "waterfall", "geography", "airport", "estuary", "dam", "coast", "soil", "glacier", "national boundary", "hydrography", "transportation", "maritime transport", "data base", "car park", "geo-referenced data", "surface water", "tidal water", "high-speed railway", "lake", "railway", "international watercourse", "water (geographic)", "river", "harbour", "human settlement", "railway network", "vegetation", "administrative boundary", "European"], "denominator": "250000", "edition": "11.1"}, "links": [{"href": "https://sdi.eea.europa.eu/data/ee1b7182-79a7-4974-a9c2-ebca2352a132", "name": "Direct download (Eionet authentication)", "protocol": "WWW:URL", "rel": "download"}, {"href": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ee1b7182-79a7-4974-a9c2-ebca2352a132.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": "ee1b7182-79a7-4974-a9c2-ebca2352a132", "name": "item", "description": "ee1b7182-79a7-4974-a9c2-ebca2352a132", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/ee1b7182-79a7-4974-a9c2-ebca2352a132"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2017-01-01T00:00:00Z", "2017-12-31T00:00:00Z"]}}, {"id": "ec36e79b-615a-4484-a3a5-2714dc3951c5", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-35.0, 27.0], [-35.0, 84.0], [47.0, 84.0], [47.0, 27.0], [-35.0, 27.0]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Mineral resources"}, {"id": "Hydrography"}, {"id": "Energy resources"}, {"id": "Administrative units"}, {"id": "Production and industrial facilities"}, {"id": "Protected sites"}, {"id": "Land use"}, {"id": "Soil"}, {"id": "Transport networks"}, {"id": "Population distribution \u2014 demography"}, {"id": "Utility and governmental services"}, {"id": "Land cover"}, {"id": "Geographical names"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "EU28 (2013-2020)"}, {"id": "Faeroe Islands"}, {"id": "Andorra"}, {"id": "Monaco"}, {"id": "Georgia"}, {"id": "Isle of Man"}, {"id": "Kosovo (UNSCR 1244/99)"}, {"id": "North Macedonia"}, {"id": "Moldova"}, {"id": "San Marino"}, {"id": "Vatican"}, {"id": "Ukraine"}, {"id": "EFTA4"}, {"id": "Liechtenstein"}, {"id": "Serbia"}], "scheme": "Continents, countries, sea regions of the world."}, {"concepts": [{"id": "built-up area"}, {"id": "harbour"}, {"id": "estuary"}, {"id": "surface water"}, {"id": "soil"}, {"id": "data base"}, {"id": "road"}, {"id": "high-speed railway"}, {"id": "geo-referenced data"}, {"id": "airport"}, {"id": "dam"}, {"id": "drainage"}, {"id": "tidal water"}, {"id": "international watercourse"}, {"id": "river"}, {"id": "car park"}, {"id": "waterway"}, {"id": "lake"}, {"id": "coast"}, {"id": "national boundary"}, {"id": "geography"}, {"id": "in situ"}, {"id": "railway"}, {"id": "vegetation"}, {"id": "railway network"}, {"id": "glacier"}, {"id": "highway"}, {"id": "artificial lake"}, {"id": "water (geographic)"}, {"id": "administrative boundary"}, {"id": "route planning"}, {"id": "human settlement"}, {"id": "hydrography"}, {"id": "transportation"}, {"id": "waterfall"}, {"id": "maritime transport"}], "scheme": "GEMET"}, {"concepts": [{"id": "European"}], "scheme": "http://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}, {"concepts": [{"id": "Land use"}, {"id": "Transport and mobility"}, {"id": "Buildings and construction"}, {"id": "Soil"}, {"id": "Water"}], "scheme": "EEA topics"}], "rights": "The Commission will store the geographic data set on a central server that is accessible by Commission staff. Eurostat will distribute parts or the entire data within the Commission, to the EU Executive Agencies and to subcontractors. The Commission is authorised to use the geographic data as follows: (1) As geographic reference, i.e. creating a geographical context for other data. (2) For the production of maps, publications, posters, presentations and statistical analysis. (3) For deriving new geographic datasets by applying data manipulation procedures, e.g. combining different geographic datasets, generalisation procedures including smoothing and dropping of spatial features, adding new attribute information. Examples of derived geographic data are the NUTS map or the Trans European Transport Network. (4) For distributing the geographic data within the Commission as well as to the public in the form of publications, posters, presentations, derived analysed statistical data and derived geographic datasets. (5) For inclusion of the geographic data as map services in other applications provided that it will not possible to extract the original geographic data. (6) For spatial analysis and for mapping of results of these analysis.\nThe license conditions are spelled out in the \"LicenseConditions.pdf\" document provided together with the dataset.", "updated": "2025-10-09T11:21:19.681465Z", "type": "Dataset", "created": "2019-01-20", "language": "eng", "title": "EuroRegionalMap 2019 (ERM 2019), Jan. 2019", "description": "EuroRegionalMap (ERM) is a Pan-European topographic vector dataset at scale 1:250000, that is, seamless and harmonized across boundaries. It is produced in cooperation by the National Mapping Agencies of the participating countries (NMCAs) using official national databases. \nThematic layers: Administrative Boundaries (BND), Hydrography (HYDRO), Miscellaneous (MISC), Named Location (NAME), Settlement (POP), Transportation (TRANS), Vegetation and Soils (VEG) as well as Points of Interest.\nThis metadata refers to the version 2019 of ERM, with the general reference for the supply being December 2018. The dataset is provided both in GDB and SHP formats. Main changes with respect to versions ERM v11.0 and v11.1 are:\n- The administrative boundaries have been updated using EBM 2019 as data source. Some countries (Great Britain, Moldova and Romania) have slightly adapted them so to fit with the topographical features of ERM.\n- Update of transportation, settlement, vegetation themes. \n- Data from Ukraine as well as French Guiana (GF), Guadeloupe (GP), Martinique (MQ), Reunion (RE), Mayotte (YT), Saint Barth\u00e9lemy (BL) and Saint Martin (MF) as overseas departments/collectivities of France belonging to the European Union are included in ERM 2019.\nFor more information about the data product specifications please refer to the documents \"ERM_2019_DataSpecification_EuroStat.pdf\", \"ERM_2019_TechnicalGuide.pdf\" and \"ERM_Eurostat_Lineage_ERM_2019.pdf\" provided with the dataset under the link \"Documents\".\nIMPORTANT NOTE: This dataset is only to be used internally in the EEA, for the purposes and under the conditions stated under the \"Resource Constraints\" elements of this metadata file and on the document \"LicenseConditions.pdf\" provided with this dataset under the link \"Documents\". This metadata has been slightly adapted from the original metadata file provided by EuroGeographics and is to be used only for internal EEA purposes. For reference, the original metadata file created by EuroGeographics is provided together with the dataset under \"Documents\" link (\"ERM_Eurostat_Metadata_ERM_2019.xml\" within the \"Metadata\").", "formats": [{"name": "SHP"}, {"name": "WWW:URL"}], "keywords": ["Mineral resources", "Hydrography", "Energy resources", "Administrative units", "Production and industrial facilities", "Protected sites", "Land use", "Soil", "Transport networks", "Population distribution \u2014 demography", "Utility and governmental services", "Land cover", "Geographical names", "EU28 (2013-2020)", "Faeroe Islands", "Andorra", "Monaco", "Georgia", "Isle of Man", "Kosovo (UNSCR 1244/99)", "North Macedonia", "Moldova", "San Marino", "Vatican", "Ukraine", "EFTA4", "Liechtenstein", "Serbia", "built-up area", "harbour", "estuary", "surface water", "soil", "data base", "road", "high-speed railway", "geo-referenced data", "airport", "dam", "drainage", "tidal water", "international watercourse", "river", "car park", "waterway", "lake", "coast", "national boundary", "geography", "in situ", "railway", "vegetation", "railway network", "glacier", "highway", "artificial lake", "water (geographic)", "administrative boundary", "route planning", "human settlement", "hydrography", "transportation", "waterfall", "maritime transport", "European", "Land use", "Transport and mobility", "Buildings and construction", "Soil", "Water"], "denominator": "250000", "edition": "12.0"}, "links": [{"href": "https://sdi.eea.europa.eu/data/ec36e79b-615a-4484-a3a5-2714dc3951c5", "name": "Direct download (Eionet authentication)", "protocol": "WWW:URL", "rel": "download"}, {"href": "https://sdi.eea.europa.eu/data/ec36e79b-615a-4484-a3a5-2714dc3951c5", "name": "Direct download (Eionet authentication)", "protocol": "WWW:URL", "rel": "download"}, {"href": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ec36e79b-615a-4484-a3a5-2714dc3951c5.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": "ec36e79b-615a-4484-a3a5-2714dc3951c5", "name": "item", "description": "ec36e79b-615a-4484-a3a5-2714dc3951c5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/ec36e79b-615a-4484-a3a5-2714dc3951c5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2018-12-01T00:00:00Z", "2018-12-31T00:00:00Z"]}}, {"id": "b8e9b1f6-a138-418a-88ea-18a5399bdc80", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[13.46, 53.29], [13.46, 53.43], [13.88, 53.43], [13.88, 53.29], [13.46, 53.29]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "Fusarium"}, {"id": "winter wheat"}, {"id": "Alternaria"}, {"id": "grass weeds"}, {"id": "Poaceae"}, {"id": "kettle holes"}, {"id": "ponds"}, {"id": "glacial lakes"}, {"id": "pathogenic fungi"}, {"id": "pathogens"}, {"id": "seasons"}, {"id": "agricultural sciences"}, {"id": "environmental sciences"}, {"id": "plant sciences"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Boden"}, {"id": "Lebensr\u00e4ume und Biotope"}, {"id": "Verteilung der Arten"}, {"id": "Bodenbedeckung"}, {"id": "Wissenschaftliche Forschung"}, {"id": "Landwirtschaft"}, {"id": "Ackerland"}], "scheme": "GEMET - Concepts, version 2.4"}, {"concepts": [{"id": "opendata"}], "scheme": "Free Keywords"}], "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": "2023-08-16", "type": "Dataset", "created": "2023-04-02", "language": "eng", "title": "Fusarium abundance and diversity and Alternaria abundance on arable weeds at the edges of kettle holes in the AgroScapeLab Quillow in autumn and winter 2018, 2019 and 2020", "description": "Fields with winter wheat (preceding crop: maize) were selected to quantify the Fusarium and Alternaria infection in September, October, November 2018  as well as in October, November 2019 and January 2020 at 9 different kettle holes in the AgroScapeLab Quillow each season. At each kettle hole, 3 different arable weeds (the most frequent ones) were selected and sampled for further analyses. Total fungi, fungi of the genus Fusarium and Alternaria and the Fusarium species composition were determined by culture-dependent methods (numeration of colony forming units) from 10 weed pieces from each plant sample. 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INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Germany"}, {"id": "Brandenburg"}, {"id": "Uckermark"}, {"id": "Quillow"}], "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": "2023-11-14", "type": "Dataset", "created": "2023-07-20", "language": "eng", "title": "Fusarium abundance and diversity and Alternaria abundance on weeds and wheat ears in transitions zones between kettle hole edge and field and field edge and field.", "description": "Fields with maize before winter wheat were selected to quantify the Fusarium and Alternaria infection on arable weeds at the edges of 10 different kettle holes and at 6 different field edges in July of 2019 and 2020. At each field margin and kettle hole, 3 different arable weeds (the most frequent ones) were selected and sampled for further analyses. Fusarium species were determined by culture-dependent methods from 10 weed pieces from each plant sample. Also, DNA was extracted from the dried and ground weed samples, and the abundance of Fusarium and Alternaria was determined by qPCR. Furthermore, the Fusarium and Alternaria infection on wheat ears in the transition zones between kettle hole edge and field and field edge and field in July 2019 and 2020 were determined. 10 different kettle holes and 6 different field edges each year were selected and transects were build up into the field (up to 50m). Fusarium and Alternaria abundance in the transition zones were analyzed by qPCR with extracted DNA out of dried and ground samples. Furthermore, Fusarium species diversity was analyzed by culture-dependent methods using kernels of the wheat ears collected at each sampling point.This table contains the index of all tables forming this data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "Fusarium", "Fusarium culmorum", "Fusarium equiseti", "Fusarium oxysporum", "Fusarium sporotrichioides", "Gibberella zeae", "Fusarium solani", "Alternaria", "winter wheat", "weeds", "mycotoxins", "trichothecenes", "zearalenone", "quantitative polymerase chain reaction", "kettle holes", "glacial lakes", "ponds", "pathogenic fungi", "pathogens", "agricultural sciences", "agricultural landscape", "opendata", "Boden", "Lebensr\u00e4ume und Biotope", "Verteilung der Arten", "Landwirtschaft", "Wissenschaft", "Bodennutzung", "Germany", "Brandenburg", "Uckermark", "Quillow"], "contacts": [{"name": "Leibniz Centre for 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