{"type": "FeatureCollection", "features": [{"id": "10138/578894", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:22:14Z", "type": "Journal Article", "created": "2024-05-31", "title": "Comparison between lower-cost and conventional eddy covariance setups for CO2 and evapotranspiration measurements above monocropping and agroforestry systems", "description": "Open AccessPeer reviewed", "keywords": ["Physical sciences", "Evapotranspiration", "Lower-cost eddy covariance", "Carbon dioxide flux", "Agroforestry", "Gas analyzer"]}, "links": [{"href": "https://doi.org/10138/578894"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10138/578894", "name": "item", "description": "10138/578894", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10138/578894"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-07-01T00:00:00Z"}}, {"id": "10.1590/s0100-06832009000100016", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:18:47Z", "type": "Journal Article", "created": "2009-03-11", "title": "Atributos F\u00edsicos, Qu\u00edmicos E Biol\u00f3gicos De Solo De Cerrado Sob Diferentes Sistemas De Uso E Manejo", "description": "<p>\uffc3\uff80 medida que o conhecimento do sistema plantio direto se amplia, verifica-se que o uso de indicadores qu\uffc3\uffadmicos isolados n\uffc3\uffa3o permite melhor caracteriza\uffc3\uffa7\uffc3\uffa3o dos solos, sendo necess\uffc3\uffa1rio utilizar um conjunto de indicadores da qualidade do solo com a entrada de outros atributos, entre eles os f\uffc3\uffadsicos e os biol\uffc3\uffb3gicos. Objetivou-se avaliar os efeitos de sistemas de manejo e uso do solo nos atributos f\uffc3\uffadsicos, qu\uffc3\uffadmicos e biol\uffc3\uffb3gicos de um Latossolo Vermelho distr\uffc3\uffb3fico e um Neossolo Quartzar\uffc3\uffaanico \uffc3\uffb3rtico sob Cerrado, no entorno do Parque Nacional das Emas. Os aspectos avaliados no Latossolo foram: Cerrado nativo, pastagem, milheto em preparo convencional, nabo forrageiro em plantio direto e sorgo em plantio direto. No Neossolo: Cerrado nativo, pastagem nativa, integra\uffc3\uffa7\uffc3\uffa3o agricultura-pecu\uffc3\uffa1ria, pastagem cultivada, plantio direto com soja no ver\uffc3\uffa3o e plantio direto com milho no ver\uffc3\uffa3o. As amostras de solo foram coletadas na profundidade de 0 a 10 cm. O delineamento experimental foi o inteiramente casualizado, com cinco parcelas de 150 m\uffc2\uffb2, sendo coletadas 10 subamostras aleat\uffc3\uffb3rias. As an\uffc3\uffa1lises qu\uffc3\uffadmicas, f\uffc3\uffadsicas e biol\uffc3\uffb3gicas foram realizadas no Laborat\uffc3\uffb3rio de Solos da UFG/CJ. Os manejos promoveram altera\uffc3\uffa7\uffc3\uffb5es na densidade do solo, volume total de poros, macroporos e resist\uffc3\uffaancia do solo \uffc3\uffa0 penetra\uffc3\uffa7\uffc3\uffa3o no Neossolo e no Latossolo, excetuando-se neste o volume total de poros. Houve pequena varia\uffc3\uffa7\uffc3\uffa3o nos atributos qu\uffc3\uffadmicos nos dois solos, com o Cerrado apresentando maior acidez potencial e menor teor de c\uffc3\uffa1tions troc\uffc3\uffa1veis e P. Os atributos biol\uffc3\uffb3gicos do solo foram alterados pelos sistemas de manejo, sendo mais prejudicados em sistemas com maior revolvimento do solo. A an\uffc3\uffa1lise can\uffc3\uffb4nica dos dados demonstrou que os atributos f\uffc3\uffadsicos foram os de menor import\uffc3\uffa2ncia por apresentar maior coeficiente de pondera\uffc3\uffa7\uffc3\uffa3o nas vari\uffc3\uffa1veis can\uffc3\uffb4nicas. Os atributos do solo, isoladamente, pouco contribu\uffc3\uffadram para a avalia\uffc3\uffa7\uffc3\uffa3o da qualidade do solo: no entanto, quando se usou a an\uffc3\uffa1lise multivariada, subsidiaram a constata\uffc3\uffa7\uffc3\uffa3o dos manejos do solo mais sustent\uffc3\uffa1veis.</p>", "keywords": ["C fra\u00e7\u00e3o leve", "multivariate analysis", "an\u00e1lise multivariada", "plantio direto", "light carbon fraction", "0401 agriculture", " forestry", " and fisheries", "soil quality", "04 agricultural and veterinary sciences"]}, "links": [{"href": "https://doi.org/10.1590/s0100-06832009000100016"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Revista%20Brasileira%20de%20Ci%C3%AAncia%20do%20Solo", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1590/s0100-06832009000100016", "name": "item", "description": "10.1590/s0100-06832009000100016", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1590/s0100-06832009000100016"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-02-01T00:00:00Z"}}, {"id": "10.17026/dans-z8z-5t4e", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:18:50Z", "type": "Dataset", "title": "Consumers' attitudes towards microbial applications in food production", "description": "The data was collected using an online survey as part of the research activities of the European Horizon 2020 project SIMBA (Sustainable Innovation of Microbiome Applications in the Food System). Online surveys were used to collect consumer respondent data for three food products (wheat bread, consumer potatoes and tomato sauce). These food products were selected as part of the EU Horizon 2020 SIMBA project for reflecting the diversity of food value chains in terms of organisation, technology, climatic conditions and consumption patterns across the EU. Three questionnaires corresponding to the three food products were prepared. The questionnaires consisted of four main parts: (1) socio-demographic characteristics (e.g. gender, education, income; Part One), (2) health and environmental concerns related to chemical use in farming, knowledge about microbial applications, perceived microbial health risks and attitude towards microbial applications in food production (Part Two), (3) questions for eliciting a consumer\u2019s willingness-to-pay (WTP) for a food product that had been obtained through a microbial-enhanced production system with reduced or no chemical use (Part Three), and (4) questions for eliciting a respondent\u2019s food choice motives (FCMs) using de Boer et al.\u2019s (2007) FCM questionnaire (Part Four). In addition, the questionnaire had an introduction section containing information sheet about the study and a consent form. The consent form and the information sheet for safeguarding the ethical aspects of this study (e.g. data handling, privacy and potential risks to respondents) were approved by the General Assembly of the SIMBA project as well as the Social Sciences Ethics Committee of Wageningen University prior to distributing the surveys. We collected data primarily from three countries: Germany, Italy and Netherlands.The data was collected to undertake a study to support the uptake of food products that are produced and/or processed using microbial applications. The aim of the survey was to get some insights about food choice motives of consumers, and the socio-demographic and behavioural factors influencing their food choices. The survey specifically aimed to assess the preferences and perceptions, and willingness-to-pay of consumers to wheat, potato and tomato-based food products that are produced and/or processed using microbial applications.", "keywords": ["2. Zero hunger", "13. Climate action", "Economics", "Social and Behavioural Sciences", "Business and Management", "Food economics", "12. Responsible consumption"], "contacts": [{"organization": "BM Ali", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.17026/dans-z8z-5t4e"}, {"rel": "self", "type": "application/geo+json", "title": "10.17026/dans-z8z-5t4e", "name": "item", "description": "10.17026/dans-z8z-5t4e", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.17026/dans-z8z-5t4e"}, {"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": "10.18174/509232", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:18:54Z", "type": "Report", "created": "2020-03-16", "title": "Novel soil quality indicators for the evaluation of agricultural management practices: a biological perspective", "description": "Developments in soil biology and methods to characterize soil organic carbon have the potential to deliver novel soil quality indicators that can help to identify soil management practices that sustain soil productivity and environmental resilience. This thesis aimed at investigating the suitability of a range of soil biological and biochemical parameters as novel soil quality indicators for agricultural management. The soil parameters, selected through a literature review, comprised different labile organic carbon fractions (hydrophilic dissolved organic carbon (Hy-DOC), dissolved organic carbon (DOC), permanganate oxidizable carbon (POXC), hot water extractable carbon (HWEC) and particulate organic matter carbon (POMC), ordered here from the smallest to the largest proportion of the total organic carbon), soil disease suppressiveness measured with a Pythium-Cress bioassay, nematode communities characterized with amplicon sequencing and qPCR, and microbial community level physiological profiling (CLPP) measured with MicroRespTM. We tested the sensitivity of the novel indicators to tillage and organic matter addition in 10 European long-term field experiments, and assessed their relationship with already existing soil quality indicators linked to soil functioning. Lastly, the results of these experimental chapters are interpreted relative to each other and to the broader body of literature on soil quality assessments. Moreover, pros and cons of the novel indicators are discussed, and possibilities and needs for future research are outlined. Reduced tillage increased carbon availability, disease suppressiveness, nematode richness and diversity, the stability and maturity of the food web, and microbial activity and functional diversity. Organic matter addition had a weaker role in sustaining soil quality, possibly due to the different compositions of the organic matter inputs in the long-term field experiments that were sampled. Random forest analysis showed that POXC was the indicator that discriminates soil management most, and structural equation modelling showed its central role in nutrient cycling, carbon sequestration, biodiversity conservation, erosion control and disease regulation/suppression. The novel indicators proposed here have great potential to improve existing soil quality assessment schemes, but their usefulness is still to be validated and optimized.", "keywords": ["2. Zero hunger", "13. Climate action", "Life Science", "15. Life on land"], "contacts": [{"organization": "Bongiorno, Giulia", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.18174/509232"}, {"rel": "self", "type": "application/geo+json", "title": "10.18174/509232", "name": "item", "description": "10.18174/509232", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.18174/509232"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-16T00:00:00Z"}}, {"id": "10.1890/07-1092.1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:18:55Z", "type": "Journal Article", "created": "2008-07-25", "title": "Plant And Microbe Contribution To Community Resilience In A Directionally Changing Environment", "description": "To understand the role biota play in resilience or vulnerability to environmental change, we investigated soil, plant, and microbial responses to a widespread environmental change, increased nitrogen (N). Our aim was to test the plant-soil threshold hypothesis: that changed biotic structure influences resilience to accumulated changes in N. For six years, we removed one of two codominant species, Geum rossii and Deschampsia caespitosa, in moist- meadow alpine tundra in Colorado, USA. We also manipulated nutrient availability by adding carbon (C) or N, separately and in combination with the species removals. Consistent with our hypothesis, Geum was associated with soil feedbacks that slowed rates of N cycling and Deschampsia with feedbacks that increased rates of N cycling. After a four- year initial resilience period, Geum dramatically declined (by almost 70%) due to increasing N availability. In contrast, Deschampsia abundance did not respond to changes in N supply; it only responded to the removal of Geum. Forbs and graminoids responded more positively to Deschampsia removal than to Geum removal, indicating stronger competitive effects by Deschampsia. The changed biotic interactions appear to have community-level consequences: after six years of Geum (but not Deschampsia) removal, evenness of the community declined by over 35%. Increased N affected the soil-microbial feedbacks, particularly in association with Geum. Microbial biomass N declined at higher N, as did the activities of two C-acquiring and one N- acquiring extracellular microbial enzymes. In the presence of Geum, N fertilization slowed the activity of phenol oxidase, a tannin-degrading enzyme, suggesting that microbes shift from degrading Geum-derived compounds. In the absence of Geum, acid phosphatase activity increased, suggesting increased phosphorus limitation in association with Deschampsia. With continued N deposition forecast for this system, these results suggest that initial resilience of Geum to increased N will be overwhelmed through elimination of microbial feedbacks. Once Geum declines, the loss will indirectly facilitate Deschampsia via competitive release. Because Deschampsia exerts strong competitive effects on subordinate species, increased Deschampsia abundance may be accompanied by a community-wide drop in diversity. We conclude that plant-soil feedbacks through the microbial community can influence vulnerability to exogenous changes in N and contribute to threshold dynamics.", "keywords": ["0106 biological sciences", "2. Zero hunger", "13. Climate action", "15. Life on land", "01 natural sciences"]}, "links": [{"href": "https://doi.org/10.1890/07-1092.1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecological%20Monographs", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1890/07-1092.1", "name": "item", "description": "10.1890/07-1092.1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1890/07-1092.1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-08-01T00:00:00Z"}}, {"id": "10.1894/mh-34.1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:18:57Z", "type": "Journal Article", "created": "2009-03-03", "title": "Influence Of Rainfall, Type Of Range, And Brush Management On Abundance Of Northern Bobwhites (Colinus Virginianus) In Southern Texas", "description": "Assessing numerical response of northern bobwhites (Colinus virginianus) to habitat improvement in semi-arid rangeland often is confounded by responses of populations to highly variable patterns of rainfall. During 2 years of above-average rainfall, we investigated abundance of northern bobwhites relative to type of range and treatments to reduce brush on seven ranches in southern Texas. We expected response of populations to treatment of land to be more evident when northern bobwhites were released from constraints of low precipitation. However, main factors dominating abundance were rainfall during the previous growing season and type of range. Greatest numbers of calls were in mid- productivity rangeland (potential production of forage 2,000-3,900 kg/ha), especially sandy loam, clay loam, sandy, and gravelly ridge. Treatments to reduce brush increased abundance of northern bobwhites to a limited extent and were most effective when large blocks of land were treated. Techniques that kill brush (root-plowing) were more successful in increasing populations than top- removal methods (roller-chopping). Leaving strips or mottes (large clumps of living brush and trees) in cleared areas did not enhance populations, although we caution that retaining some brush cover may be important to survival of northern bobwhites in drier years and in situations where herbaceous cover is less abundant. RESUMEN\u2014Determinar la respuesta numerica de codornices nortenas (Colinus virginianus )at ecnicas para mejorar el habitat en pastizales semiaridos es confundido por las respuestas poblacionales a patrones altamente variables de precipitacion. Durante dos anos de precipitacion ma alta que la media, investigamos la abundancia de codornices con respecto al tipo de pastizal y tratamientos para reducir arbustos en siete ranchos en el sur de Texas. Esperamos la respuesta de la poblacion al tratamiento de la tierra ser mas evidente cuando las codornices fueron liberadas de los apremios de baja precipitacion. Sin embargo, los factores mas dominantes para determinar la abundancia fueron la precipitacion durante la estacion de crecimiento anterior y el tipo de pastizal. Mas silbidos fueron registrados en los pastizales de productividad mediana (produccion de forraje potencial de 2.000-3.900 kg/ha), especialmente en pastizales con suelos marga-arenosos, marga-arcillosos, arenosos, y pastizales en bordes pedregosos. Tratamientos para reducir arbustos aumentaron la abundancia de codornices a un grado limitado y fueron mas eficaces cuando terrenos grandes fueron tratados. Los tratamientos de remocion de arbustos (remocion de rao \u00b4ces) fueron mas exitosos para incrementar la poblacion que los metodos de remocion superior (la eliminacion de biomasa aerea). Dejando bandas o grandes grupos de arbustos y arboles en areas despejadas no mejorolas poblaciones, aunque consideramos importante indicar que retener alguna cobertura arbustiva podro \u00b4a ser importante para la supervivencia de codornices en anos mas secos y en situaciones donde la cobertura herbacea es menor.", "keywords": ["2. Zero hunger", "0106 biological sciences", "15. Life on land", "01 natural sciences"], "contacts": [{"organization": "Susan M. Cooper, James C. Cathey, D. Lang Alford, Shane S. Sieckenius,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1894/mh-34.1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20Southwestern%20Naturalist", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1894/mh-34.1", "name": "item", "description": "10.1894/mh-34.1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1894/mh-34.1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-03-01T00:00:00Z"}}, {"id": "10.20535/.2025.17.328624", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:18:57Z", "type": "Journal Article", "created": "2025-06-16", "title": 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\u0440\u043e\u0437\u0432\u0438\u0442\u043a\u0443 \u043d\u0430\u0443\u043a\u0438 \u0432 \u0433\u0430\u043b\u0443\u0437\u0456</p></article>"}, "links": [{"href": "https://doi.org/10.20535/.2025.17.328624"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/%D0%91%D1%96%D0%BE%D0%BC%D0%B5%D0%B4%D0%B8%D1%87%D0%BD%D0%B0%20%D1%96%D0%BD%D0%B6%D0%B5%D0%BD%D0%B5%D1%80%D1%96%D1%8F%20%D1%96%20%D1%82%D0%B5%D1%85%D0%BD%D0%BE%D0%BB%D0%BE%D0%B3%D1%96%D1%8F", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.20535/.2025.17.328624", "name": "item", "description": "10.20535/.2025.17.328624", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.20535/.2025.17.328624"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-05-01T00:00:00Z"}}, {"id": "10.20944/preprints202504.2122.v1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:18:58Z", "type": "Report", "created": "2025-04-28", "title": "Citizen Science for Soil Monitoring and Protection", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Citizen science (CS) is increasingly recognized as a complementary approach for addressing soil health challenges - including erosion, pollution, nutrient imbalances, and biodiversity loss - by harnessing public participation to broaden spatial and temporal data collection. This review synthesizes findings from (i) a systematic analysis of peer-reviewed literature and grey sources, (ii) a database of 96 CS initiatives compiled by the PrepSoil project, and (iii) questionnaire surveys and workshops conducted in five European Living Labs. Our analysis indicates that volunteer-driven monitoring can enhance the volume and granularity of soil data, providing critical insights into parameters such as organic carbon content, nutrient levels, and pollutant concentrations. However, persistent challenges remain, including inconsistencies in data validation, volunteer attrition, and concerns regarding digital literacy and data privacy. Despite these challenges, ongoing efforts to standardize protocols, integrate remote sensing and sensor-based validation methods, and employ feedback mechanisms improve data reliability and participant engagement. We conclude that sustained capacity-building, transparent data governance, and stakeholder collaboration - from local communities to governmental bodies - are essential for fully realizing the potential of citizen science in soil conservation. CS can meaningfully support sustainable land management and evidence-based policymaking by aligning public-generated observations with established scientific frameworks.</p></article>", "contacts": [{"organization": "Karel Charv\u00e1t, Jaroslav \u0160mejkal, Petr Hor\u00e1k, Mark\u00e9ta Kollerov\u00e1, \u0160\u00e1rka Hor\u00e1kov\u00e1, Pierre Renault,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.20944/preprints202504.2122.v1"}, {"rel": "self", "type": "application/geo+json", "title": "10.20944/preprints202504.2122.v1", "name": "item", "description": "10.20944/preprints202504.2122.v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.20944/preprints202504.2122.v1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-04-25T00:00:00Z"}}, {"id": "10.2111/08-106.1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:18:58Z", "type": "Journal Article", "created": "2010-01-22", "title": "Land Use Influences Carbon Fluxes In Northern Kazakhstan", "description": "A mobile, closed-chamber system (CC) was used to measure carbon and water fluxes on four land-use types common in the Kazakh steppe ecoregion. Land uses represented crop (wheat or barley, WB), abandoned land (AL), crested wheatgrass (CW), and virgin land (VL). Measurements were conducted during the growing season of 2002 in northern Kazakhstan at three locations (blocks) 15\u201320 km apart. The CC allowed the measurement of the carbon flux components of net ecosystem exchange (NEE), ecosystem respiration (RE) and soil respiration (RS), together with evapotranspiration (ET). Nonlinear regression analyse sw ere used to model gross primary production (GPP) and ET as a function of photosynthetically active radiation (Q); RE and RS were modeled based on air (Tair) and soil (Ts) temperature, respectively. GPP, RE, RS, and ET were estimated for the entire year with the use of continuous 20-min means of Q, Tair, and Ts. Annual NEE indicated that AL gained 536 g CO2 ? m 22 , WB lost 2 191 g CO2 ? m 22 , CW was near equilibrium (2 14 g CO2 ? m 22 ), and VL exhibited considerable carbon accumulation (153 g CO2 ? m 22 ). The lower GPP values of the land-use types dominated by native species (CW and VL) compared to WB and AL were compensated by positive NEE values that were maintained during a longer growing season. As expected, VL and CW allocated a larger proportion of their carbon assimilates belowground. Non\u2013growing-season RE accounted for about 19% of annual RE in all land-use types. The results of this landscape-level study suggest that carbon lost by cultivation of VLs is partially being restored when fields are left uncultivated, and that VLs are net sinks of carbon. Estimations of carbon balances have important management implications, such as estimation of ecosystem productivity and carbon credit certification. Resumen", "keywords": ["2. Zero hunger", "abandoned fields", "13. Climate action", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.2111/08-106.1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Rangeland%20Ecology%20%26amp%3B%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2111/08-106.1", "name": "item", "description": "10.2111/08-106.1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2111/08-106.1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-01-01T00:00:00Z"}}, {"id": "10.21203/rs.3.rs-5128244/v1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:18:59Z", "type": "Report", "created": "2024-09-23", "title": "Spatiotemporal prediction of soil organic carbon density for Europe (2000--2022) in 3D+T based on Landsat-based spectral indices time-series", "description": "<title>Abstract</title>                 <p>The paper describes a comprehensive framework for soil organic carbon density (SOCD) (kg/m3) modeling and mapping, based on spatiotemporal Random Forest (RF) and Quantile Regression Forests (QRF). 22,428 SOCD measurements and a wide range of covariate layers\u2014particularly the 30m Landsat-based spectral indices were used to fit models and produce 30~m SOCD maps for the entire EU at four-year intervals from 2000 to 2022 and for four soil depth intervals (0--20cm, 20--50cm, 50--100cm, and 100--200cm) each accompanied by per-pixel 95% probability prediction intervals (PI, between P0.025 and P0.975). The results of model evaluation indicate consistent accuracy of the predictions: based on both 5--fold spatial cross-validation with model refitting (MAE = 8.64 kg/m3 , MedAE = 4.31 kg/m3 , MAPE = 0.54 kg/m3 and bias = -2.95 kg/m3 ), and on independent testing (MAE = 7.73 kg/m3 , MedAE = 3.54 kg/m3 , MAPE = 0.45 kg/m3 , and bias = -3.04 kg/m3), with both R2 values exceeding 0.7 and concordance correlation coefficients (CCC) greater than 0.8. Validation of PI estimation confirmed that PIs effectively capture uncertainty intervals, although with reduced accuracy for higher SOCD values. Exploratory analysis using Shapley values identified soil depth as the most important feature, with vegetation (Landsat biophysical indices) and long-term bio-climate features as the two main contributing feature groups. Although the uncertainty of the prediction per pixel is significant, further spatial aggregation has been shown to reduce the uncertainty by about 70%. Suggested uses of the data include: (1) time-series / trend analysis to detect potential land degradation hotspots, (2) optimization of sampling designs based on prediction uncertainty, and (3) prediction of future soil carbon potential by extrapolating models under different land use / climate scenarios. The data and code used are publicly available under an open license from https://doi.org/10.5281/zenodo.13754344 and https://github.com/AI4SoilHealth/SoilHealthDataCube/.</p>", "contacts": [{"organization": "Tian, Xuemeng, de Bruin, Sytze, Simoes, Rolf, Isik, Mustafa Serkan, Minarik, Robert, Ho, Yu-Feng, \u015eahin, Murat, Herold, Martin, Consoli, Davide, Hengl, Tomislav,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.21203/rs.3.rs-5128244/v1"}, {"rel": "self", "type": "application/geo+json", "title": "10.21203/rs.3.rs-5128244/v1", "name": "item", "description": "10.21203/rs.3.rs-5128244/v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.21203/rs.3.rs-5128244/v1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-24T00:00:00Z"}}, {"id": "10.2134/agronj2010.0504", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:19:03Z", "type": "Journal Article", "created": "2011-07-12", "title": "Western Oregon Grass Seed Crop Rotation And Straw Residue Effects On Soil Quality", "description": "<p>Understanding the impact of crop rotation and residue management in grass seed production systems on soil quality and, in particular soil C dynamics, is critical in making long\uffe2\uff80\uff90term soil management decisions supporting farm sustainability. The effects of a 6\uffe2\uff80\uff90yr rotation and residue management (high vs. low residue) on soil quality were investigated at three locations in Oregon, each contrasting in soil drainage classification. The crop rotations were continuous perennial grass seed production, grass/legume seed production, and grass/legume/cereal seed production. The grass species grown at each location were different and represented those most commonly produced in each environment; perennial ryegrass (Lolium perenne L.), tall fescue [Schedonorus phoenix (Scop.) Holub], and creeping red fescue (Festuca rubra L.). All three grass seed crop rotations and residue methods maintained high soil quality in conventional or direct seeded soils, but under some situations, soil quality was higher with continuous grass rotation and high residue. Data suggest that straw removal for value\uffe2\uff80\uff90added use, like bioenergy production, can be accomplished in the Pacific Northwest Marine climate without appreciably affecting soil quality. Furthermore, grass seed cropping systems play an important role in soil C storage and enhancement, a valuable ecosystem service in this region where grass seed is produced on land that is not suitable for production of conventional crops that require better\uffe2\uff80\uff90drained soil. We conclude that by nature perennial grass seed crops promote high soil fertility and enriched soil C pools and consequently contribute to the tolerance of these systems to the use of less conservation\uffe2\uff80\uff90oriented crop management methods at times when crop loss could be potentially high. This attribute provides producers greater latitude in selecting soil and crop management options to address issues of soil fertility, pest, weed, or seed certification to minimize economic crop yield losses.</p>", "keywords": ["2. Zero hunger", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water"], "contacts": [{"organization": "Gerald Whittaker, Richard P. Dick, Gary M. Banowetz, Stephen M. Griffith, George W. Mueller-Warrant,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.2134/agronj2010.0504"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2134/agronj2010.0504", "name": "item", "description": "10.2134/agronj2010.0504", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2134/agronj2010.0504"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-07-01T00:00:00Z"}}, {"id": "10.2136/sssaj1995.03615995005900050022x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:19:09Z", "type": "Journal Article", "created": "2010-07-27", "description": "Abstract<p>Long\uffe2\uff80\uff90term N fertilization affects soil organic N reserves, N mineralization potential, and crop response to applied N, but little information is available on the influence of short\uffe2\uff80\uff90term N fertilizer (STN) management on soil organic N availability and crop response. This study was conducted to determine if STN changes soil N supplying capability to corn (Zea mays L.) after 3 yr of differential N fertilization on a Fayette silt loam soil (fine\uffe2\uff80\uff90silty, mixed, mesic Typic Hapludalf) in Wisconsin. Various rates of N fertilizer (0\uffe2\uff80\uff93402 kg N ha\uffe2\uff88\uff921) were applied to corn in 1983, 1984, and 1985, and their residual effects on corn response were evaluated in 1986. Soil profile No3\uffe2\uff80\uff90N levels in spring 1986 were very low in all plots (48 \uffc2\uffb1 4 kg ha\uffe2\uff88\uff921 [90 cm]\uffe2\uff88\uff921), yet grain yields and N uptake were significantly increased by STN applications. Corn N uptake was linearly related to the total amount of N returned to soil in crop residues during the previous 3 yr. Increased organic N availability under high STN management was equivalent to a 78 kg N ha\uffe2\uff88\uff921 rate, or 47% of the N fertilizer required for optimum crop yields. In aerobic incubations (40 wk) of spring 1986 soil (0\uffe2\uff80\uff9330 cm), STN additions increased N release only in the first few weeks. Kinetics of N mineralization were best described by a two\uffe2\uff80\uff90component model in which the active fraction (NA) of soil organic N was highly correlated with corn N uptake (r = 0.88). Simulation of field conditions showed that 95% of NA is available before crop maturity. A phosphate\uffe2\uff80\uff90borate buffer organic N availability index was significantly and consistently related to STN treatments. Relative increases in total soil organic N corresponded with the 3\uffe2\uff80\uff90yr N balance between fertilizer additions and grain removals, and were about 10 times larger than mineralizable N. These results indicate that immobilization of excess mineral N into stable soil organic N during decomposition of crop residues should be considered in determining the environmental risk of N fertilization. Although labile organic N is a small fraction of the total fertilizer N contribution to soil N, its quantification should allow a more accurate assessment of crop N needs.</p>", "keywords": ["2. Zero hunger", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.2136/sssaj1995.03615995005900050022x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Science%20Society%20of%20America%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2136/sssaj1995.03615995005900050022x", "name": "item", "description": "10.2136/sssaj1995.03615995005900050022x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2136/sssaj1995.03615995005900050022x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "1995-09-01T00:00:00Z"}}, {"id": "10261/179481", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:22:15Z", "type": "Journal Article", "created": "2018-07-19", "title": "Molecular Fingerprinting of14C Dated Soil Organic Matter Fractions from Archaeological Settings in NW Spain", "description": "Abstract<p>This paper evaluates the complexities of radiocarbon (14C) dates from soil organic matter (SOM) in archaeological scenarios. The aqueous NaOH-insoluble residual SOM from Neolithic to medieval sites in NW Spain produced consistently older calibrated14C ages than NaOH-extractable SOM. Using pyrolysis-gas chromatography-mass spectrometry (Py-GC-MS) and thermally assisted hydrolysis and methylation (THM-GC-MS), we analyzed the molecular composition of these SOM fractions, aiming to understand the differences in14C ages and to gain insight on SOM dynamics in relation to age fractionation. The molecular composition of the NaOH-extractable SOM, which accounts for roughly two-thirds of total SOM, has a larger proportion of microbial detritus than the NaOH-insoluble SOM. This might suggest that the discrepancies between the two fractions is due to microbial rejuvenation in the extractable fraction, leading to14C results that are younger than the activity that is to be dated. However, archaeological evidence presented here unambiguously shows that the14C age of the extractable SOM provides the more accurate age for the targeted activity, and that the insoluble fraction contains inherited old carbon. After statistical data evaluation using Partial Least Squares-Regression (PLS-R), it is concluded that this inherited SOM is a mixture of Black Carbon from wild and/or domestic fires and recalcitrant aliphatic SOM.</p", "keywords": ["Radiocarbon dating", "Molecular composition", "THM-GC-MS", "SOM fractions", "0601 history and archaeology", "06 humanities and the arts", "15. Life on land", "01 natural sciences", "Py-GC-MS", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10261/179481"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Radiocarbon", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/179481", "name": "item", "description": "10261/179481", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/179481"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-07-18T00:00:00Z"}}, {"id": "10.2136/sssaj2007.0248", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:19:13Z", "type": "Journal Article", "created": "2008-05-30", "title": "Long-Term Effects Of Harvesting Maize Stover And Tillage On Soil Quality", "description": "<p>Rising concerns about greenhouse gases, increased fuel prices, and the potential for new high value agricultural products have raised interest in the use of maize stover for bioenergy production. However, residue harvest must be weighed against potential negative impacts on soil quality. This study, conducted in Chazy, NY, evaluated the long\uffe2\uff80\uff90term effects of 32 yr of maize (Zea maysL.) stover harvest vs. stover return on soil quality in the surface layer (5\uffe2\uff80\uff9366 mm) under plow till (PT) and no\uffe2\uff80\uff90till (NT) systems on a Raynham silt loam (coarse\uffe2\uff80\uff90silty, mixed, active, nonacid, mesic Aeric Epiaquept) using physical, chemical, and biological soil properties as soil quality indicators. Twenty\uffe2\uff80\uff90five soil properties were measured, including standard chemical soil tests, aggregate stability (WSA), bulk density, (\uffcf\uff81b) penetration resistance (PR), saturated hydraulic conductivity (Ks), infiltrability (Infilt), several porosity indicators (aeration pores(PO &gt; 1000), soil water potential = \uffce\uffa8 &gt; \uffe2\uff88\uff920.36 kPa; air\uffe2\uff80\uff90filled pores at field capacity (PO &gt; 30), \uffce\uffa8 &gt; \uffe2\uff88\uff9210kPa; available water capacity (AWC), \uffe2\uff88\uff921500 &lt; \uffce\uffa8 &lt; \uffe2\uff88\uff9210 kPa), total organic matter (OM), parasitic (Nemparasitic) and beneficial nematode (Nembeneficial) populations, decomposition rate (Decomp), potentially mineralizable N (PMN) and easily extractable (EEG) and total glomalin (TG). Only eight indicators were adversely affected by stover harvest, and most of these effects were significant only under NT. Almost all indicators affected by stover removal were affected equally or more adversely by tillage. A total of 15 indicators were adversely affected by tillage. Results of this study suggest that, on a silt loam soil in a temperate climate, long\uffe2\uff80\uff90term stover harvest had lower adverse impacts on soil quality than long\uffe2\uff80\uff90term tillage. Stover harvest appears to be sustainable when practiced under NT management.</p>", "keywords": ["2. Zero hunger", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.2136/sssaj2007.0248"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Science%20Society%20of%20America%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2136/sssaj2007.0248", "name": "item", "description": "10.2136/sssaj2007.0248", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2136/sssaj2007.0248"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-07-01T00:00:00Z"}}, {"id": "10.2139/ssrn.4556085", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:19:17Z", "type": "Journal Article", "created": "2023-08-29", "title": "A Laser Diffractometry Technique for Determining the Soil Water Stable Aggregates Index", "description": "Open AccessPeer reviewed", "keywords": ["Water stable aggregates index", "Laser diffractometry", "Wet sieving", "Soil aggregates"]}, "links": [{"href": "https://doi.org/10.2139/ssrn.4556085"}, {"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": "10.2139/ssrn.4556085", "name": "item", "description": "10.2139/ssrn.4556085", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2139/ssrn.4556085"}, {"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": "10.2139/ssrn.5084742", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:19:17Z", "type": "Journal Article", "created": "2025-05-25", "title": "ZnO-nanostructured electrochemical sensor for efficient detection of glyphosate in water", "description": "Glyphosate is a widely used broad-spectrum herbicide for controlling grassy weeds, despite having potential health hazards. Herein, we report on a solid-state electrochemical sensor based on ZnO nanoparticles (ZnO NPs) for on-site detection of glyphosate. Accordingly, ZnO NPs was drop-cast on the surface of a disposable screen-printed carbon electrode. Eco-friendly ZnO NPs of only 7 nm crystallite sizes were obtained by green sol-gel synthesis using lemon (Citrus limon) waste aqueous extract as the green reducing and capping/stabilizing agent and Zn nitrate precursor as evidenced by scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction and diffuse reflectance. SEM confirmed successful electrode functionalization with the synthesized nanoparticles. Under laboratory conditions in acetate buffer (pH 5), the sensor demonstrated excellent selectivity and sensitivity, with a detection limit of 0.648 \u00b5M, a wide linear detection range (0.5 \u00b5M to 7.5 mM), and a rapid detection time of 30 min. When tested in river water, the sensor achieved a detection limit of 0.96 \u00b5M using differential pulse voltammetry. It also exceptionally tolerated interference from similar organophosphorus compounds and ions commonly found in river water. The excellent detection performance of the sensor was attributed to the strong coordination interactions between Zn atoms and phosphonate/carboxylate groups that are enhanced by a hydrogen bond at acidic pH, as determined by chemical calculations. This disposable sensor offers a cost-effective, efficient, and environmentally friendly solution for monitoring glyphosate in water systems.", "keywords": ["QD71-142", "Environmental water", "Eco-friendly ZnO nanoparticles", "Computational modeling", "Pesticides", "Eco-friendly ZnO nanoparticles;", "[SDV.MP] Life Sciences [q-bio]/Microbiology and Parasitology", "Analytical chemistry", "Sensor"]}, "links": [{"href": "https://doi.org/10.2139/ssrn.5084742"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Talanta%20Open", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2139/ssrn.5084742", "name": "item", "description": "10.2139/ssrn.5084742", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2139/ssrn.5084742"}, {"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": "10.2307/2425415", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:19:20Z", "type": "Journal Article", "created": "2006-04-24", "title": "The Effect Of Nitrogen-Fertilization On The Production Of Halophytes In An Inland Salt-Marsh", "description": "The effect of nitrogen fertilization on plant production, soil and plant nitrogen content, and species distribution in an Ohio salt marsh was analyzed. Seasonal measurements indicate that the three dominant species attained maximal production at different times during the growing season. Production of Salicornia europaea increased with nitrogen fertilization and it appears that reduced soil nitrogen concentrations may be responsible for the different growth forms of S. europaea found in this marsh. Shoot nitrogen concentrations of S. europaea were inversely related to the growth response to fertilization. High tissue nitrogen concentrations in Hordeum jubatum and Atriplex triangularis suggest that some factor other than nitrogen is limiting to these species. INTRODUCTION A number of studies concerning production of plants in coastal salt marsh ecosystems suggest that productivity may be limited by availability of nitrogen (Tyler, 1967; Pigott, 1969; Stewart et al., 1972, 1973; Valiela and Teal, 1974; Gallagher, 1975; Patrick and Delaune, 1976; Mendelssohn, 1979b; Haines, 1979). Smart and Barko (1980) showed that although biomass was ultimately determined by the availability of nitrogen, growth rate was affected by the salinity of the sediments. Other effects of nitrogen fertilization on coastal salt marsh vegetation include: increased allocation of resources to sexual reproduction (Jefferies and Perkins, 1977), increased levels of nitrogen in the plant material (Buresh et al., 1980; Pigott, 1969) and a change in the distribution of plants in the salt marsh (Valiela et al., 1975). While these studies suggest that nitrogen may be an important limiting factor in the productivity of coastal marshes, no studies have been done to ascertain if this is true in inland salt marshes. Studies of plant production from inland saline areas (Hadley and Buccos, 1967, Hadley, 1970) have either not examined it in relation to nitrogen limitation, or else have concentrated on the response to nitrogen additions of a single species when grown under greenhouse conditions (Cords, 1960). Lack of tidal action and differences in species composition preclude the assumption that coastal and inland salt marshes respond similarly tonitrogen addition. The Atlantic coastal marshes of the United States are generally characterized by a bay-to-upland sequence of zones consisting of perennial grasses in the low marsh, giving way to annual succulents in the higher portions of the marsh (Niering and Warren, 1980). In an Ohio salt marsh this vegetational pattern was reversed. The annual species Salicornia europaea and Atriplex triangularis form two zones bordering the center of the saline pan with the perennial grass Hordeumjubatum occurring on the outer edge of the marsh, in the area of lower salinity (Ungar et al., 1979). The objectives of this study were to determine seasonal change in plant production, the effect of the nitrate and ammonium forms of nitrogen fertilization on plant production in an inland salt marsh and to determine if nitrogen deficiencies are responsible for the difference in the growth forms of Salicornia. MATERIALS AND METHODS The study area is a saline pan located at the site of the Morton Salt Company, in the city of Rittman, Wayne Co., Ohio (long. 810 47' 30', lat. 400 57' 30':SW?4 Sec 12, T 18N, R 13W). Three vegetation zones characterize the site: a Hordeum jubatum zone, an Atriplex triangularis zone and a zone of Salicornia europaea that was divided into", "keywords": ["0106 biological sciences", "2. Zero hunger", "15. Life on land", "01 natural sciences"], "contacts": [{"organization": "Irwin A. Ungar, David G. Loveland,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.2307/2425415"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/American%20Midland%20Naturalist", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2307/2425415", "name": "item", "description": "10.2307/2425415", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2307/2425415"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "1983-04-01T00:00:00Z"}}, {"id": "10.24193/subbphil.2021.2s.05", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:19:22Z", "type": "Journal Article", "created": "2021-11-11", "title": "EXP\u00c9RIMENTER LA PENS\u00c9E EN SCH\u00c9MAS-IMAGES. DES ADOLESCENTS S\u2019INTERROGENT \u00ab D\u2019O\u00d9 VIENNENT LES PENS\u00c9ES ? \u00bb", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Experimenting Thinking in Image Schemas. Teenagers are Wondering \u201cWhere Do Thoughts Come From?\u201d. An intellectual view of philosophy as an activity focusing on understanding abstract concepts and their relationships deprives philosophical exercise of the participation of the body and senses. If we reject the mind-body dualism, as Dewey, Johnson, etc. did, then we are constantly engaged in interactions with the world and others, and can thus consider the act of thinking from our own experiences. Inspired by an experimentalist conception of school and life, as well as the method of inquiry developed by Dewey, the Philosophy for Children program provides an inquiry process that invites participants to conceptualize and reason philosophically in a collaborative manner. Do these practices implement an embodied cognition? To find out, we selected a discussion as a case study and analyzed it based on the observation that the issue to be discussed by the participants - \u201cwhere do thoughts come from?\u201d contains two image schemas: path (come from) and source (where). We have noted a variety and a significant number of expressions (\u201cthey come from within\u201d, \u201cthey come from what happens outside\u201d, etc.) whose analysis enhances a better understanding of how an experience of understanding the origins of our thoughts fits into the discourse and contributes to a collective conceptualization of \u201cthinking\u201d.</p></article>", "keywords": ["4. Education", "B1-5802", "image schemas", " perceptual experience", " conceptualisation", " community of philosophical inquiry", " experimentalism.", "Philosophy (General)", "16. Peace & justice", "3. Good health"]}, "links": [{"href": "https://doi.org/10.24193/subbphil.2021.2s.05"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Studia%20Universitatis%20Babe%C8%99-Bolyai%20Philosophia", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.24193/subbphil.2021.2s.05", "name": "item", "description": "10.24193/subbphil.2021.2s.05", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.24193/subbphil.2021.2s.05"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-30T00:00:00Z"}}, {"id": "10.2489/jswc.72.4.361", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:19:23Z", "type": "Journal Article", "created": "2017-06-24", "description": "Cover cropping is a widely promoted strategy to enhance soil health in agricultural systems. Despite a substantial body of literature demonstrating links between cover crops and soil biology, an important component of soil health, research evaluating how specific cover crop species influence soil microbial communities remains limited. This study examined the effects of eight fall-sown cover crop species grown singly and in multispecies mixtures on microbial community structure and soil biological activity using phospholipid fatty acid (PLFA) profiles and daily respiration rates, respectively. Fourteen cover crop treatments and a no cover crop control were established in August of 2011 and 2012 on adjacent fields in central Pennsylvania following spring oats (Avena sativa L.). Soil communities were sampled from bulk soil collected to a depth of 20 cm (7.9 in) in fall and spring, approximately two and nine months after cover crop planting and prior to cover crop termination. In both fall and spring, cover crops led to an increase in total PLFA concentration relative to the arable weed community present in control plots (increases of 5.37 nmol g\u22121 and 10.20 nmol g\u22121, respectively). While there was a positive correlation between aboveground plant biomass (whether from arable weeds or cover crops) and total PLFA concentration, we also found that individual cover crop species favored particular microbial functional groups. Arbuscular mycorrhizal (AM) fungi were more abundant beneath oat and cereal rye (Secale cereale L.) cover crops. Non-AM fungi were positively associated with hairy vetch (Vicia villosa L.). These cover crop-microbial group associations were present not only in monocultures, but also multispecies cover crop mixtures. Arable weed communities were associated with higher proportions of actinomycetes and Gram-positive bacteria. Soil biological activity varied by treatment and was positively correlated with both the size and composition (fungal:bacterial ratio) of the microbial community. This research establishes a clear link between cover crops, microbial communities, and soil health. We have shown that while cover crops generally promote microbial biomass and activity, there are species-specific cover crop effects on soil microbial community composition that ultimately influence soil biological activity. This discovery paves the way for intentional management of the soil microbiome to enhance soil health through cover crop selection.", "keywords": ["2. Zero hunger", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land"]}, "links": [{"href": "https://doi.org/10.2489/jswc.72.4.361"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Soil%20and%20Water%20Conservation", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2489/jswc.72.4.361", "name": "item", "description": "10.2489/jswc.72.4.361", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2489/jswc.72.4.361"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-07-01T00:00:00Z"}}, {"id": "10261/359343", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:22:19Z", "type": "Dataset", "title": "Plant affinity to extreme soils and foliar sulphur mediate species-specific responses to sheep grazing in gypsum systems [Dataset V2]", "description": "Open AccessPeer reviewed", "keywords": ["Semiarid systems", "Gypsophiles", "Elemental composition", "Gypsum soils", "Herbivory", "Functional traits"], "contacts": [{"organization": "Cera, Andreu, Montserrat-Mart\u00ed, Gabriel, Luzuriaga, Arantzazu L., Pueyo, Yolanda, Palacio, Sara,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10261/359343"}, {"rel": "self", "type": "application/geo+json", "title": "10261/359343", "name": "item", "description": "10261/359343", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/359343"}, {"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": "10261/398202", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:22:21Z", "type": "Dataset", "created": "2025-04-30", "title": "GHOST: A globally harmonised dataset of surface atmospheric composition measurements", "description": "Open AccessPeer reviewed", "contacts": [{"organization": "Bowdalo, Dene, Grodofzig, Raphael, Jaimes Palomera, M\u00f3nica, Rivera Hern\u00e1ndez, Olivia, Puchalski, Melissa, Gay, David, Klausen, J\u00f6rg, Moreno, Sergio, Netcheva, Stoyka, Tarasova, Oksana, Basart, Sara, Guevara, Marc, Jorba, Oriol, Pandolfi, Marco, Rovira, Jordi,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10261/398202"}, {"rel": "self", "type": "application/geo+json", "title": "10261/398202", "name": "item", "description": "10261/398202", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/398202"}, {"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": "10.33140/jgrm.07.02.03", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:19:28Z", "type": "Journal Article", "created": "2023-05-31", "title": "Risk-Reducing Salpingectomy And Other Strategies For Prevention Of Ovarian And Tubal Carcinoma", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Objective: To provide a review of most current evidence and data for risk-reducing strategies used in prevention of ovarian cancer. Methods of study selection: PubMed was used as a search tool for articles with key words focusing on current strategies on prevention of ovarian cancer such as \u201crisk-reducing salpingectomy, \u201crisk-reducing salpingo-oophorectomy, \u201csalpingectomy with delayed oophorectomy\u201d. General consensus and society guidelines from leading organizations such as Society of Gynecologic Oncology, American Cancer Society, and American College of Obstetricians and Gynecologists were reviewed and summarized in this review article with supporting evidence and research studies on most current riskreduction strategies for prevention of ovarian and tubal carcinoma. Result: There is growing evidence that high-grade serous ovarian carcinoma arises in the fallopian tube in the form of serous tubal intraepithelial carcinoma (STIC). Therefore, opportunistic salpingectomy has been increasingly offered at the time of routine benign gynecologic surgery. Risk-reducing bilateral salpingo-oophorectomy has been shown to reduce risk of ovarian cancer up to 90% and offered to women with high hereditary predisposition for ovarian cancer. Riskreducing salpingectomy with delayed oophorectomy (SDO) has been suggested in younger women to balance the effects of infertility and surgically induced menopause resulting from oophorectomy. Conclusion: Combined oral Contraceptive COCs confer long-term protection against ovarian cancer with reported 20% reduction for every 5 years of use, which have been cited as a confounding factor in most of the published studies. Women who used HRT (estrogen alone or combined estrogen and progesterone) carry 20% higher risk of ovarian cancer compared to never-users. The associated increased risk of cervical and breast cancer with COCs/HTR use, have recently let women prefer the RRSO over COCs for prevention of ovarian cancer. Bilateral risk reducing Salpingo-oophorectomy (RRSO) at the age of 40\u201345 in BRCA1 and 45\u201350 in BRCA2 mutation carriers is recommended to be the primary approach for risk reduction of ovarian cancer. There is well-supported evidence of lowering the risk of ovarian cancer in high-risk population by 90%. The American college of obstetrics and gynecology committee opinion, recommended opportunistic salpingectomy for the primary prevention of ovarian cancer in a woman already undergoing pelvic surgery for another indication. Bilateral salpingectomy at the time of cesarean delivery is recommended to replace the tubal ligation as the method of choice for sterilization performed with cesarean delivery. The novel alternative procedure of Risk-reducing Salpingectomy with delayed risk-reducing oophorectomy (RRSO-RRO) have growing attention as a better alternative to improve the menopause-related morbidity and quality of life.</p></article>", "keywords": ["3. Good health"]}, "links": [{"href": "https://doi.org/10.33140/jgrm.07.02.03"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Gynecology%20%26amp%3B%20Reproductive%20Medicine", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.33140/jgrm.07.02.03", "name": "item", "description": "10.33140/jgrm.07.02.03", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.33140/jgrm.07.02.03"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-17T00:00:00Z"}}, {"id": "10.3389/fmicb.2016.01446", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:19:31Z", "type": "Journal Article", "created": "2016-09-14", "description": "Soil management is fundamental to all agricultural systems and fertilization practices have contributed substantially to the impressive increases in food production. Despite the pivotal role of soil microorganisms in agro-ecosystems, we still have a limited understanding of the complex response of the soil microbiota to organic and mineral fertilization in the very long-term. Here, we report the effects of different fertilization regimes (mineral, organic and combined mineral and organic fertilization), carried out for more than a century, on the structure and activity of the soil microbiome. Organic matter content, nutrient concentrations, and microbial biomass carbon were significantly increased by mineral, and even more strongly by organic fertilization. Pyrosequencing revealed significant differences between the structures of bacterial and fungal soil communities associated to each fertilization regime. Organic fertilization increased bacterial diversity, and stimulated microbial groups (Firmicutes, Proteobacteria, and Zygomycota) that are known to prefer nutrient-rich environments, and that are involved in the degradation of complex organic compounds. In contrast, soils not receiving manure harbored distinct microbial communities enriched in oligotrophic organisms adapted to nutrient-limited environments, as Acidobacteria. The fertilization regime also affected the relative abundances of plant beneficial and detrimental microbial taxa, which may influence productivity and stability of the agroecosystem. As expected, the activity of microbial exoenzymes involved in carbon, nitrogen, and phosphorous mineralization were enhanced by both types of fertilization. However, in contrast to comparable studies, the highest chitinase and phosphatase activities were observed in the solely mineral fertilized soil. Interestingly, these two enzymes showed also a particular high biomass-specific activities and a strong negative relation with soil pH. As many soil parameters are known to change slowly, the particularity of unchanged fertilization treatments since 1902 allows a profound assessment of linkages between management and abiotic as well as biotic soil parameters. Our study revealed that pH and TOC were the majors, while nitrogen and phosphorous pools were minors, drivers for structure and activity of the soil microbial community. Due to the long-term treatments studied, our findings likely represent permanent and stable, rather than transient, responses of soil microbial communities to fertilization.", "keywords": ["Soil nutrients", "0301 basic medicine", "2. Zero hunger", "0303 health sciences", "long-term fertilization", "microbial biomass", "15. Life on land", "microbial activity", "Microbiology", "QR1-502", "03 medical and health sciences", "13. Climate action", "soil microbial communities", "soil nutrients", "454 pyrosequencing"]}, "links": [{"href": "https://doi.org/10.3389/fmicb.2016.01446"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Microbiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fmicb.2016.01446", "name": "item", "description": "10.3389/fmicb.2016.01446", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fmicb.2016.01446"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-09-14T00:00:00Z"}}, {"id": "10.3389/fmicb.2019.02597", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:19:31Z", "type": "Journal Article", "created": "2019-11-08", "title": "New Insights Into Cinnamoyl Esterase Activity of Oenococcus oeni.", "description": "Some strains of Oenococcus oeni possess cinnamoyl esterase activity that can be relevant in the malolactic stage of wine production liberating hydroxycinnamic acids that are precursors of volatile phenols responsible for sensory faults. The objective of this study was to better understand the basis of the differential activity between strains. After initial screening, five commercial strains of O. oeni were selected, three were found to exhibit cinnamoyl esterase activity (CE+) and two not (CE-). Although the use of functional annotation of genes revealed genotypic variations between the strains, no specific genes common only to the three CE+ strains could explain the different activities. Pasteurized wine was used as a natural source of tartrate esters in growth and metabolism experiments conducted in MRS medium, whilst commercial trans-caftaric acid was used as substrate for enzyme assays. Detoxification did not seem to be the main biological mechanism involved in the activity since unlike its phenolic cleavage products and their immediate metabolites (trans-caffeic acid and 4-ethylcatechol), trans-caftaric acid was not toxic toward O. oeni. In the case of the two CE+ strains OenosTM and CiNeTM, wine-exposed samples showed a more rapid degradation of trans-caftaric acid than the unexposed ones. The CE activity was present in all cell-free extracts of both wine-exposed and unexposed strains, except in the cell-free extracts of the CE- strain CH11TM. This activity may be constitutive rather than induced by exposure to tartrate esters. Trans-caftaric acid was totally cleaved to trans-caffeic acid by cell-free extracts of the three CE+ strains, whilst cell-free extracts of the CE- strain CH16TM showed significantly lower activity, although higher for the strains in experiments with no prior wine exposure. The EstB28 esterase gene, found in the genomes of the 5 strains, did not reveal any difference on the upstream regulation and transport functionality between the strains. This study highlights the complexity of the basis of this activity in wine related O. oeni population. Variable cinnamoyl esterases or/and membrane transport activities in the O. oeni strains analyzed and a possible implication of wine molecules could explain this phenomenon.", "keywords": ["0301 basic medicine", "0303 health sciences", "tartrate esters", "cinnamoyl esterase", "Tartrate esters", "Hydroxycinnamic acids", "Wine", "hydroxycinnamic acids", "[SDV.IDA] Life Sciences [q-bio]/Food engineering", "Microbiology", "QR1-502", "03 medical and health sciences", "Cinnamoyl esterase", "wine", "Oenococcus oeni"]}, "links": [{"href": "https://doi.org/10.3389/fmicb.2019.02597"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Microbiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fmicb.2019.02597", "name": "item", "description": "10.3389/fmicb.2019.02597", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fmicb.2019.02597"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-11-08T00:00:00Z"}}, {"id": "10.3389/fmicb.2021.758395", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:19:31Z", "type": "Journal Article", "created": "2022-01-12", "title": "Fresh rumen liquid inoculant enhances the rumen microbial community establishment in pre-weaned dairy calves", "description": "<p>The development of the functional rumen in calves involves a complex interplay between the host and host-related microbiome. Attempts to modulate rumen microbial community establishment may therefore have an impact on weaning success, calf health, and animal performance later in life. In this experiment, we aimed to elucidate how rumen liquid inoculum from an adult cow, provided to calves during the pre-weaning period, influences the establishment of rumen bacterial, archaeal, fungal, and ciliate protozoan communities in monozygotic twin calves (n = 6 pairs). The calves were divided into treatment (T-group) and control (C-group) groups, where the T-group received fresh rumen liquid as an oral inoculum during a 2\uffe2\uff80\uff938-week period. The C-group was not inoculated. The rumen microbial community composition was determined using bacterial and archaeal 16S ribosomal RNA (rRNA) gene, protozoal 18S rRNA gene, and fungal ITS1 region amplicon sequencing. Animal weight gain and feed intake were monitored throughout the experiment. The T-group tended to have a higher concentrate intake (Treatment: p &amp;lt; 0.08) and had a significantly higher weekly weight gain (Treatment: p &amp;lt; 0.05), but no significant difference in volatile fatty acid concentrations between the groups was observed. In the T-group, the inoculum stimulated the earlier establishment of mature rumen-related bacterial taxa, affecting significant differences between the groups until 6 weeks of age. The inoculum also increased the archaeal operational taxonomic unit (OTU) diversity (Treatment: p &amp;lt; 0.05) but did not affect the archaeal quantity. Archaeal communities differed significantly between groups until week 4 (p = 0.02). Due to the inoculum, ciliate protozoa were detected in the T-group in week 2, while the C-group remained defaunated until 6 weeks of age. In week 8, Eremoplastron dilobum was the dominant ciliate protozoa in the C-group and Isotricha sp. in the T-group, respectively. The Shannon diversity of rumen anaerobic fungi reduced with age (Week: p &amp;lt; 0.01), and community establishment was influenced by a change of diet and potential interaction with other rumen microorganisms. Our results indicate that an adult cow rumen liquid inoculum enhanced the maturation of bacterial and archaeal communities in pre-weaning calves\uffe2\uff80\uff99 rumen, whereas its effect on eukaryotic communities was less clear and requires further investigation.</p>", "keywords": ["0301 basic medicine", "570", "Anaerobic fungi", "microbiome establishment", "archaea", "Rumen function", "Microbiome manipulation", "Microbiology", "630", "Microbiome establishment", "ciliate protozoa", "03 medical and health sciences", "Dairy calf", "anaerobic fungi", "bacteria", "[SDV.MP] Life Sciences [q-bio]/Microbiology and Parasitology", "2. Zero hunger", "0303 health sciences", "ta412", "Bacteria", "dairy calf", "Animal science", " dairy science", "Archaea", "Ciliate protozoa", "QR1-502", "rumen function", "[SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology", "microbiome manipulation"]}, "links": [{"href": "https://doi.org/10.3389/fmicb.2021.758395"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Microbiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fmicb.2021.758395", "name": "item", "description": "10.3389/fmicb.2021.758395", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fmicb.2021.758395"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-12T00:00:00Z"}}, {"id": "10.3389/fmicb.2022.983823", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:19:31Z", "type": "Journal Article", "created": "2022-11-08", "title": "Long-term effects of early-life rumen microbiota modulation on dairy cow production performance and methane emissions", "description": "<p>Rumen microbiota modulation during the pre-weaning period has been suggested as means to affect animal performance later in life. In this follow-up study, we examined the post-weaning rumen microbiota development differences in monozygotic twin-heifers that were inoculated (T-group) or not inoculated (C-group) (n\uffe2\uff80\uff89=\uffe2\uff80\uff894 each) with fresh adult rumen liquid during their pre-weaning period. We also assessed the treatment effect on production parameters and methane emissions of cows during their 1st lactation period. The rumen microbiota was determined by the 16S rRNA gene, 18S rRNA gene, and ITS1 amplicon sequencing. Animal weight gain and rumen fermentation parameters were monitored from 2 to 12\uffe2\uff80\uff89months of age. The weight gain was not affected by treatment, but butyrate proportion was higher in T-group in month 3 (p\uffe2\uff80\uff89=\uffe2\uff80\uff890.04). Apart from archaea (p\uffe2\uff80\uff89=\uffe2\uff80\uff890.084), the richness of bacteria (p\uffe2\uff80\uff89&amp;lt;\uffe2\uff80\uff890.0001) and ciliate protozoa increased until month 7 (p\uffe2\uff80\uff89=\uffe2\uff80\uff890.004) and anaerobic fungi until month 11 (p\uffe2\uff80\uff89=\uffe2\uff80\uff890.005). The microbiota structure, measured as Bray\uffe2\uff80\uff93Curtis distances, continued to develop until months 3, 6, 7, and 10, in archaea, ciliate protozoa, bacteria, and anaerobic fungi, respectively (for all: p\uffe2\uff80\uff89=\uffe2\uff80\uff890.001). Treatment or age \uffc3\uff97 treatment interaction had a significant (p\uffe2\uff80\uff89&amp;lt;\uffe2\uff80\uff890.05) effect on 18 bacterial, 2 archaeal, and 6 ciliate protozoan taxonomic groups, with differences occurring mostly before month 4 in bacteria, and month 3 in archaea and ciliate protozoa. Treatment stimulated earlier maturation of prokaryote community in T-group before month 4 and earlier maturation of ciliate protozoa at month 2 (Random Forest: 0.75\uffe2\uff80\uff89month for bacteria and 1.5\uffe2\uff80\uff89month for protozoa). No treatment effect on the maturity of anaerobic fungi was observed. The milk production and quality, feed efficiency, and methane emissions were monitored during cow\uffe2\uff80\uff99s 1st lactation. The T-group had lower variation in energy-corrected milk yield (p\uffe2\uff80\uff89&amp;lt;\uffe2\uff80\uff890.001), tended to differ in pattern of residual energy intake over time (p\uffe2\uff80\uff89=\uffe2\uff80\uff890.069), and had numerically lower somatic cell count throughout their 1st lactation period (p\uffe2\uff80\uff89=\uffe2\uff80\uff890.081), but no differences between the groups in methane emissions (g/d, g/kg DMI, or g/kg milk) were observed. Our results demonstrated that the orally administered microbial inoculant induced transient changes in early rumen microbiome maturation. In addition, the treatment may influence the later production performance, although the mechanisms that mediate these effects need to be further explored.</p>", "keywords": ["microbiome modulation", "0301 basic medicine", "570", "ta412", "microbiome establishment", "Heifer", "dairy cow", "Rumen function", "Animal science", " dairy science", "Microbiology", "630", "Microbiome modulation", "QR1-502", "rumen function", "Microbiome establishment", "03 medical and health sciences", "Dairy cow", "heifer"]}, "links": [{"href": "https://doi.org/10.3389/fmicb.2022.983823"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Microbiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fmicb.2022.983823", "name": "item", "description": "10.3389/fmicb.2022.983823", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fmicb.2022.983823"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-08T00:00:00Z"}}, {"id": "10.3390/molecules29204908", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:19:42Z", "type": "Journal Article", "created": "2024-10-17", "title": "Computational Multiscale Study of the Interaction Between the PDMS Polymer and Sunscreen-Related Pollutant Molecules", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Sunscreen molecules play a critical role in protecting skin from ultraviolet radiation, yet their efficient detection and separation pose challenges in environmental and analytical contexts. In this work, we employ a multilevel modeling approach to investigate the molecular interactions between representative sunscreen molecules and the polydimethylsiloxane (PDMS) polymer, a material widely recognized for its sorbent properties. Our goal is to explore how these interactions can be fine-tuned to facilitate the effective separation of sunscreen molecules in portable membrane inlet mass spectrometry (MIMS) systems, potentially leading to the development of new membrane materials. Using a combination of advanced computational techniques\u2014force field molecular dynamics simulations, semiempirical GFN2-xTB, and density functional theory calculations\u2014we assess the interaction strength and noncovalent interactions of sunscreen molecules, namely oxybenzone, naphthalene, benzo[a]anthracene, avobenzone, and 1,3,5-trichlorobenzene, with PDMS. Additionally, the effect of temperature on the interaction dynamics is evaluated, with the aim of extending the sorbent capacities of PDMS beyond light polar molecules to larger, polar sunscreen compounds. This study provides critical insights into the molecular-level interactions that may guide the design of novel membrane materials for efficient molecular separation.</p></article>", "keywords": ["QD241-441", "membranes", "PDMS", "MD", "Organic chemistry", "GFN2-xTB", "MIMS", "DFT", "Article"]}, "links": [{"href": "https://doi.org/10.3390/molecules29204908"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Molecules", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/molecules29204908", "name": "item", "description": "10.3390/molecules29204908", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/molecules29204908"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-17T00:00:00Z"}}, {"id": "10.3402/tellusb.v54i5.16689", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:19:49Z", "type": "Journal Article", "created": "2012-12-17", "description": "We present a first analysis of data (June 1998 to December 2000) from the long-term eddy covariance site established in a\u00a0Pinus sylvestris stand near Zotino in central Siberia as part of the EUROSIBERIAN CARBONFLUX project. As well as examining seasonal patterns in net ecosystem exchange\u00a0(NE), daily, seasonal and annual estimates of the canopy photosynthesis (or gross primary productivity,\u00a0GP) were obtained using\u00a0NE and ecosystem respiration measurements.Although the forest was a small (but significant) source of CO2 throughout the snow season (typically mid-October to early May) there was a rapid commencement of photosynthetic capacity shortly following the commencement of above-zero air temperatures in spring: in 1999 the forest went from a quiescent state to significant photosynthetic activity in only a few days. Nevertheless, canopy photosynthetic capacity was observed to continue to increase slowly throughout the summer months for both 1999 and 2000, reaching a maximum capacity in early August. During September there was a marked decline in canopy photosynthesis which was only partially attributable to less favourable environmental conditions. This suggests a reduction in canopy photosynthetic capacity in autumn, perhaps associated with the cold hardening process. For individual time periods the canopy photosynthetic rate was mostly dependent upon incoming photon irradiance. However, reductions in both canopy conductance and overall photosynthetic rate in response to high canopy-to-air vapour differences were clearly evident on hot dry days. The relationship between canopy conductance and photosynthesis was examined using Cowan's notion of optimality in which stomata serve to maximise the marginal evaporative cost of plant carbon gain. The associated Lagrangian multiplier (\u03bb) was surprisingly constant throughout the growing season. Somewhat remarkably, however, its value was markedly different between years, being\u00a0416 mol mol\u22121 in 1999 but\u00a0815 mol mol\u22121 in 2000. Overall the forest was a substantial sink for CO2 in both 1999 and 2000: around\u00a013 mol C m\u22122 a\u22121. Data from this experiment, when combined with estimates of net primary productivity from biomass sampling suggest that about 20% of this sink was associated with increasing plant biomass and about 80% with an increase in the litter and soil organic carbon pools. This high implied rate of carbon accumulation in the litter soil organic matter pool seems unsustainable in the long term and is hard to explain on the basis of current knowledge.DOI:\u00a010.1034/j.1600-0889.2002.01487.x", "keywords": ["13. Climate action", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.3402/tellusb.v54i5.16689"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Tellus%20B%3A%20Chemical%20and%20Physical%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3402/tellusb.v54i5.16689", "name": "item", "description": "10.3402/tellusb.v54i5.16689", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3402/tellusb.v54i5.16689"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2002-01-01T00:00:00Z"}}, {"id": "10.4081/ija.2012.e26", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:19:54Z", "type": "Journal Article", "created": "2012-05-31", "description": "Interest in biochar (BC) has grown dramatically in recent years, due mainly to the fact that its incorporation into soil reportedly enhances carbon sequestration and fertility. Currently, BC types most under investigation are those obtained from organic matter (OM) of plant origin. As great amounts of manure solids are expected to become available in the near future, thanks to the development of technologies for the separation of the solid fraction of animal effluents, processing of manure solids for BC production seems an interesting possibility for the recycling of OM of high nutrient value. The aim of this study was to investigate carbon (C) sequestration and nutrient dynamics in soil amended with BC from dried swine manure solids. The experiment was carried out in laboratory microcosms on a silty clay soil. The effect on nutrient dynamics of interaction between BC and fresh digestate obtained from a biogas plant was also investigated to test the hypothesis that BC can retain nutrients. A comparison was made of the following treatments: soil amended with swine manure solids (LC), soil amended with charred swine manure solids (LT), soil amended with wood chip (CC), soil amended with charred wood chip (CT), soil with no amendment as control (Cs), each one of them with and without incorporation of digestate (D) for a total of 10 treatments. Biochar was obtained by treating OM (wood chip or swine manure) with moisture content of less than 10% at 420\u00b0C in anoxic conditions. The CO2-C release and organic C, available phosphorus (P) (Olsen P, POls) and inorganic (ammonium+nitrate) nitrogen (N) (Nmin) contents at the start and three months after the start of the experiment were measured in the amended and control soils. After three months of incubation at 30\u00b0C, the CO2-C emissions from soil with BC (CT and LT, \u00b1D) were the same as those in the control soil (Cs) and were lower than those in the soils with untreated amendments (CC and LC, \u00b1D). The organic C content decreased in CT and LT to a lesser extent than in CC and LC. In soils with D (+D), the CO2-C emissions were equal to or higher than those in soils without (-D). The Nmin content increased in all treatments; the POls content decreased in the +D treatments. The incorporation of BC into soil, by reducing CO2 emissions, actually contributes to C sequestration without modifying N availability for crops. For a given N content, the BC from swine manure solids supplies much more P than the non-treated OM and, therefore, represents an interesting source of P for crops.", "keywords": ["2. Zero hunger", "S", "emissions", "Plant culture", "Agriculture", "04 agricultural and veterinary sciences", "nitrogen", "6. Clean water", "SB1-1110", "13. Climate action", "manure", "0401 agriculture", " forestry", " and fisheries", "biochar", "phosphorus"]}, "links": [{"href": "https://doi.org/10.4081/ija.2012.e26"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Italian%20Journal%20of%20Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.4081/ija.2012.e26", "name": "item", "description": "10.4081/ija.2012.e26", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.4081/ija.2012.e26"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-01-01T00:00:00Z"}}, {"id": "10433/20153", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:22:23Z", "type": "Report", "title": "Atlas mundial de los principales factores que controlan el carbono del suelo en un contexto de cambio clim\u00e1tico.", "description": "El carbono (C) es un componente esencial de la matriz del suelo que juega una funci\u00f3n vital en m\u00faltiples servicios ecosist\u00e9micos, desde la regulaci\u00f3n clim\u00e1tica hasta proporcionar suelos f\u00e9rtiles que permitan la seguridad alimentaria. Sin embargo, el cambio clim\u00e1tico y la gesti\u00f3n inadecuada del manejo del suelo est\u00e1n provocando p\u00e9rdidas aceleradas del C almacenado en los suelos de los ecosistemas terrestres, con repercusiones importantes en el clima de la Tierra. A pesar de su importancia, en la actualidad tenemos un conocimiento escaso sobre los factores que controlan los distintos componentes que forman el C almacenado en el suelo y que est\u00e1n asociados con su persistencia en un contexto de cambio clim\u00e1tico (protecci\u00f3n mineral, diversidad de la materia org\u00e1nica [SOM], recalcitrancia bioqu\u00edmica y respiraci\u00f3n heter\u00f3trofa de los microbios del suelo). En esta tesis, se investigaron los principales factores que influyen en la acumulaci\u00f3n de C a nivel global, mediante la utilizaci\u00f3n de suelos provenientes de varios muestreos estandarizados en todos los biomas terrestres. En primer lugar, nuestros resultados mostraron una menor diversidad de la SOM como consecuencia de la acumulaci\u00f3n de restos vegetales despu\u00e9s de millones de a\u00f1os de formaci\u00f3n ecosist\u00e9mica. Las correlaciones positivas entre la diversidad de la SOM y contenido de C en el suelo sugieren que el desarrollo de suelos milenarios m\u00e1s simples podr\u00eda estar asociado con las p\u00e9rdidas t\u00edpicamente observadas de las funciones ecosist\u00e9micas (incluida la acumulaci\u00f3n de C en el suelo) durante la retrogresi\u00f3n. En este contexto, el desarrollo de las comunidades vegetales es determinado por las condiciones clim\u00e1ticas. Nuestro segundo cap\u00edtulo revel\u00f3 que, independientemente del contenido de nutrientes en la capa superficial del suelo, el reservorio de la biomasa vegetal es mayor cuando las condiciones de temperatura y precipitaci\u00f3n permiten el crecimiento de las plantas. Por otra parte, frente a los bien establecidos mecanismos de persistencia, el microbioma del suelo emergi\u00f3 como el principal factor que controla las p\u00e9rdidas de C a la atm\u00f3sfera en escenarios de calentamiento. De hecho, nuestro cuarto cap\u00edtulo tambi\u00e9n revel\u00f3 que incrementar el n\u00famero de factores de cambio global est\u00e1 relacionado negativamente con el almacenamiento y los factores de persistencia del C a nivel global. Por \u00faltimo, propusimos que nuevas herramientas basadas en un enfoque microbiano podr\u00edan mejorar la diversidad de la SOM en tierras degradadas, y, por consiguiente, incrementar las reservas mundiales de C en el menor tiempo posible. En conjunto, los resultados presentados en esta tesis aportan informaci\u00f3n valiosa para orientar nuestros esfuerzos hacia medidas de gesti\u00f3n concretas y efectivas destinadas a construir y preservar el C en los ecosistemas terrestres.", "keywords": ["Carbono", "Cambio clim\u00e1tico", "Microbiolog\u00eda"], "contacts": [{"organization": "S\u00e1ez Sandino, Tadeo", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10433/20153"}, {"rel": "self", "type": "application/geo+json", "title": "10433/20153", "name": "item", "description": "10433/20153", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10433/20153"}, {"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": "10.5061/dryad.3sm0340", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:00Z", "type": "Dataset", "title": "Data from: Vegetation type controls root turnover in global grasslands", "description": "unspecifiedRoot turnover in  grasslands", "keywords": ["2. Zero hunger", "13. Climate action", "15. Life on land"], "contacts": [{"organization": "Wang, Jinsong, Sun, Jian, Yu, Zhen, Li, Yong, Tian, Dashuan, Wang, Bingxue, Li, Zhaolei, Niu, Shuli,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.3sm0340"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.3sm0340", "name": "item", "description": "10.5061/dryad.3sm0340", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.3sm0340"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-08-15T00:00:00Z"}}, {"id": "10.5061/dryad.cz8w9gj78", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:03Z", "type": "Dataset", "title": "Soil microbial relative resource limitation exhibited contrasting seasonal patterns along an elevational gradient in Yulong snow mountain", "description": "unspecified", "keywords": ["2. Zero hunger", "mountain ecosystems", "13. Climate action", "microbial metabolic mechanisms", "microbial relative C limitation", "microbial relative P limitation", "C use efficiency", "FOS: Earth and related environmental sciences", "15. Life on land", "elevations"], "contacts": [{"organization": "Zhang, Dandan, Wu, Baoyun, Li, Jinsheng, Cheng, Xiaoli,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.cz8w9gj78"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.cz8w9gj78", "name": "item", "description": "10.5061/dryad.cz8w9gj78", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.cz8w9gj78"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-02-02T00:00:00Z"}}, {"id": "10.5061/dryad.h3r16", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:04Z", "type": "Dataset", "title": "Data from: The impact of environmental heterogeneity and life stage on the hindgut microbiota of Holotrichia parallela larvae (Coleoptera: Scarabaeidae)", "description": "unspecifiedGut microbiota has diverse ecological and evolutionary effects on their  hosts. However, the ways in which it responds to environmental  heterogeneity and host physiology remain poorly understood. To this end,  we surveyed intestinal microbiota of Holotrichia parallela larvae at  different instars and from different geographic regions. Bacterial 16S  rRNA gene clone libraries were constructed and clones were subsequently  screened by DGGE and sequenced. Firmicutes and Proteobacteria were the  major phyla, and bacteria belonging to Ruminococcaceae, Lachnospiraceae,  Enterobacteriaceae, Desulfovibrionaceae and Rhodocyclaceae families were  commonly found in all natural populations. However, bacterial diversity  (Chao1 and Shannon indices) and community structure varied across host  populations, and the observed variation can be explained by soil pH,  organic carbon and total nitrogen, and the climate factors (e.g., mean  annual temperature) of the locations where the populations were sampled.  Furthermore, increases in the species richness and diversity of gut  microbiota were observed during larval growth. Bacteroidetes comprised the  dominant group in the first instar; however, Firmicutes composed the  majority of the hindgut microbiota during the second and third instars.  Our results suggest that the gut\u2019s bacterial community changes in response  to environmental heterogeneity and host\u2019s physiology, possibly to meet the  host\u2019s ecological needs or physiological demands.", "keywords": ["Holotrichia parallela", "Cenozoic era", "15. Life on land"], "contacts": [{"organization": "Huang, Shengwei, Zhang, Hongyu,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.h3r16"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.h3r16", "name": "item", "description": "10.5061/dryad.h3r16", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.h3r16"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-05-20T00:00:00Z"}}, {"id": "10.5061/dryad.pb271", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:05Z", "type": "Dataset", "title": "Data from: Interactions among roots, mycorrhizae and free-living microbial communities differentially impact soil carbon processes", "description": "unspecifiedPlant roots, their associated microbial community and free-living soil  microbes interact to regulate the movement of carbon from the soil to the  atmosphere, one of the most important and least understood fluxes of  terrestrial carbon. Our inadequate understanding of how plant\u2013microbial  interactions alter soil carbon decomposition may lead to poor model  predictions of terrestrial carbon feedbacks to the atmosphere. Roots,  mycorrhizal fungi and free-living soil microbes can alter soil carbon  decomposition through exudation of carbon into soil. Exudates of simple  carbon compounds can increase microbial activity because microbes are  typically carbon limited. When both roots and mycorrhizal fungi are  present in the soil, they may additively increase carbon decomposition.  However, when mycorrhizas are isolated from roots, they may limit soil  carbon decomposition by competing with free-living decomposers for  resources. We manipulated the access of roots and mycorrhizal fungi to  soil in situ in a temperate mixed deciduous forest. We added 13C-labelled  substrate to trace metabolized carbon in respiration and measured  carbon-degrading microbial extracellular enzyme activity and soil carbon  pools. We used our data in a mechanistic soil carbon decomposition model  to simulate and compare the effects of root and mycorrhizal fungal  presence on soil carbon dynamics over longer time periods. Contrary to  what we predicted, root and mycorrhizal biomass did not interact to  additively increase microbial activity and soil carbon degradation. The  metabolism of 13C-labelled starch was highest when root biomass was high  and mycorrhizal biomass was low. These results suggest that mycorrhizas  may negatively interact with the free-living microbial community to  influence soil carbon dynamics, a hypothesis supported by our enzyme  results. Our steady-state model simulations suggested that root presence  increased mineral-associated and particulate organic carbon pools, while  mycorrhizal fungal presence had a greater influence on particulate than  mineral-associated organic carbon pools. Synthesis. Our results suggest  that the activity of enzymes involved in organic matter decomposition was  contingent upon root\u2013mycorrhizal\u2013microbial interactions. Using our  experimental data in a decomposition simulation model, we show that  root\u2013mycorrhizal\u2013microbial interactions may have longer-term legacy  effects on soil carbon sequestration. Overall, our study suggests that  roots stimulate microbial activity in the short term, but contribute to  soil carbon storage over longer periods of time.", "keywords": ["2. Zero hunger", "roots", "13. Climate action", "simulation model", "carbon dynamics", "Rhizosphere", "stable isotope", "plant-soil (belowground) interactions", "15. Life on land", "extra-cellular enzyme activity", "mycorrhizae"], "contacts": [{"organization": "Moore, Jessica A. M., Jiang, Jiang, Patterson, Courtney M., Wang, Gangsheng, Mayes, Melanie A., Classen, Aim\u00e9e T.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.pb271"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.pb271", "name": "item", "description": "10.5061/dryad.pb271", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.pb271"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-09-14T00:00:00Z"}}, {"id": "10.5061/dryad.wh70rxwww", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:07Z", "type": "Dataset", "created": "2024-06-19", "title": "Data from: Competition between mixo- and heterotrophic ciliates under dynamic resource supply", "description": "unspecifiedThe outcome of species competition strongly depends on the traits of the  competitors and associated trade-offs, as well as on environmental  variability. Here we investigate the relevance of consumer trait variation  for species coexistence in a ciliate consumer \u2013 microalgal prey system  under fluctuating regimes of resource supply. We focus on consumer  competition and feeding traits, and specifically on the consumer\u2019s ability  to overcome periods of resource limitation by mixotrophy, i. e. the  ability of photosynthetic carbon fixation via algal symbionts in addition  to phagotrophy. In a 48-day chemostat experiment, we investigated  competitive interactions of different heterotrophic and mixotrophic  ciliates of the genera Euplotes and Coleps under different resource  regimes, providing prey either continuously or in pulses under constant or  fluctuating light, entailing periods of resource depletion in fluctuating  environments, but overall providing the same amount of prey and light.  Although ultimate competition results remained unaffected, population  dynamics of mixotrophic and heterotrophic ciliates were significantly  altered by resource supply mode. However, the effects differed among  species combinations and changed over time. Whether mixotrophs or  heterotrophs dominated in competition strongly depended on the genera of  the competing species and thus species-specific differences in the minimum  resource requirements that are associated with feeding on shared prey,  nutrient uptake, light harvesting and access to additional resources such  as bacteria. Potential differences in the curvature of the species\u2019  resource-dependent growth functions may have further mediated the  species-specific responses to the different resource supply modes.  Overall, our study demonstrates that genus- or species-specific traits  other than related to nutritional mode may override the relevance of  acquired phototrophy by heterotrophs in competitive interactions, and that  the potential advantage of photosynthetic carbon fixation of  symbiont-bearing mixotrophs in competition with pure heterotrophs may  differ greatly among different mixotrophs, playing out under different  environmental conditions and depending on the specific requirements of the  species. Complex trophic interactions determine the outcome of  competition, which can only be understood by taking on a multidimensional  trait perspective.", "keywords": ["Ciliates", "mixotrophy", "FOS: Biological sciences", "coexistence", "resource fluctuations", "microalgae-ciliate symbiosis"], "contacts": [{"organization": "Fl\u00f6der, Sabine, Klauschies, Toni, Klaassen, Moritz, Stoffers, Tjardo, Lambrecht, Max, Moorthi, Stefanie,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.wh70rxwww"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.wh70rxwww", "name": "item", "description": "10.5061/dryad.wh70rxwww", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.wh70rxwww"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-23T00:00:00Z"}}, {"id": "10.5194/acp-10-7017-2010", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:08Z", "type": "Journal Article", "created": "2010-04-29", "description": "<p>Abstract. We present and discuss a new dataset of gridded emissions covering the historical period (1850\uffe2\uff80\uff932000) in decadal increments at a horizontal resolution of 0.5\uffc2\uffb0 in latitude and longitude. The primary purpose of this inventory is to provide consistent gridded emissions of reactive gases and aerosols for use in chemistry model simulations needed by climate models for the Climate Model Intercomparison Program #5 (CMIP5) in support of the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5). Our best estimate for the year 2000 inventory represents a combination of existing regional and global inventories to capture the best information available at this point; 40 regions and 12 sectors are used to combine the various sources. The historical reconstruction of each emitted compound, for each region and sector, is then forced to agree with our 2000 estimate, ensuring continuity between past and 2000 emissions. Simulations from two chemistry-climate models is used to test the ability of the emission dataset described here to capture long-term changes in atmospheric ozone, carbon monoxide and aerosol distributions. The simulated long-term change in the Northern mid-latitudes surface and mid-troposphere ozone is not quite as rapid as observed. However, stations outside this latitude band show much better agreement in both present-day and long-term trend. The model simulations indicate that the concentration of carbon monoxide is underestimated at the Mace Head station; however, the long-term trend over the limited observational period seems to be reasonably well captured. The simulated sulfate and black carbon deposition over Greenland is in very good agreement with the ice-core observations spanning the simulation period. Finally, aerosol optical depth and additional aerosol diagnostics are shown to be in good agreement with previously published estimates and observations.                         </p>", "keywords": ["info:eu-repo/classification/ddc/550", "550", "IPCC", "[SDE.MCG]Environmental Sciences/Global Changes", "Physics", "QC1-999", "emissions", "551", "01 natural sciences", "7. Clean energy", "J", "[SDE.MCG] Environmental Sciences/Global Changes", "Chemistry", "13. Climate action", "[SDE.ES] Environmental Sciences/Environment and Society", "CMIP5", "[SDE.ES]Environmental Sciences/Environment and Society", "QD1-999", "AR5", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://pure.iiasa.ac.at/id/eprint/9279/1/acp-10-7017-2010.pdf"}, {"href": "http://pure.iiasa.ac.at/id/eprint/9279/1/acp-10-7017-2010.pdf"}, {"href": "https://doi.org/10.5194/acp-10-7017-2010"}, {"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-10-7017-2010", "name": "item", "description": "10.5194/acp-10-7017-2010", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/acp-10-7017-2010"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-02-19T00:00:00Z"}}, {"id": "10.5194/bg-15-1933-2018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:10Z", "type": "Journal Article", "created": "2017-11-21", "title": "Straw incorporation increases crop yield and soil organic carbon sequestration but varies under different natural conditions and farming practices in China: a system analysis", "description": "<p>Abstract. Loss of soil organic carbon (SOC) from agricultural soils is a key indicator of soil degradation associated with reductions in net primary productivity in crop production systems worldwide. Simple technical and locally appropriate solutions are required for farmers to increase SOC and to improve cropland management. In the last 30 years, straw incorporation has gradually been implemented across China in the context of agricultural intensification and rural livelihood improvement. A meta-analysis of data published before the end of 2016 was undertaken to investigate the effects of straw incorporation on crop production and SOC sequestration. The results of 68 experimental studies throughout China in different edaphic, climate regions and under different farming regimes were analyzed. Compared with straw removal, straw incorporation significantly sequestered SOC (0\uffe2\uff80\uff9320\uffe2\uff80\uff89cm depth) at the rate of 0.35 (range 0.31\uffe2\uff80\uff930.40)\uffe2\uff80\uff89Mg C\uffe2\uff80\uff89ha\uffe2\uff88\uff921\uffe2\uff80\uff89yr\uffe2\uff88\uff921, increased crop grain yield by 13.4\uffe2\uff80\uff89% (range 9.3\uffe2\uff80\uff89%\uffe2\uff80\uff9318.4\uffe2\uff80\uff89%) and had a conversion efficiency of the applied straw-C as 16\uffe2\uff80\uff89%\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff892\uffe2\uff80\uff89% across the whole of China. The combined straw incorporation at the rate of 3\uffe2\uff80\uff89Mg C\uffe2\uff80\uff89ha\uffe2\uff88\uff921\uffe2\uff80\uff89yr\uffe2\uff88\uff921 with mineral fertilizer of 200\uffe2\uff80\uff93400\uffe2\uff80\uff89kg N\uffe2\uff80\uff89ha\uffe2\uff88\uff921\uffe2\uff80\uff89yr\uffe2\uff88\uff921 was demonstrated to be the best combination for farmers to use with crop yield increased by 32.7\uffe2\uff80\uff89% (range 17.9\uffe2\uff80\uff89%\uffe2\uff80\uff9356.4\uffe2\uff80\uff89%) and SOC sequestrated by the rate of 0.85 (range 0.54\uffe2\uff80\uff931.15)\uffe2\uff80\uff89Mg C\uffe2\uff80\uff89ha\uffe2\uff88\uff921\uffe2\uff80\uff89yr\uffe2\uff88\uff921. Straw incorporation achieved higher SOC sequestration rate and crop yield increment when applied to clay soils, under high cropping intensities, and in areas like Northeast China where the soil is being degraded. SOC responses were the greatest in the initial starting phase of straw incorporation and then declined and finally were negligible after 28\uffe2\uff80\uff9362 years, however, crop yield responses were initially low and then increased reaching their highest level at 11\uffe2\uff80\uff9315 years after straw incorporation. Overall, our study confirmed that straw incorporation did create a positive feedback loop of SOC enhancement together with increased crop production, and this is of great practical significance to straw management as agricultural intensifies in China and other regions in the world with different climate conditions.                         </p>", "keywords": ["2. Zero hunger", "QE1-996.5", "info:eu-repo/classification/ddc/550", "Ecology", "Life", "QH501-531", "0401 agriculture", " forestry", " and fisheries", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "QH540-549.5"]}, "links": [{"href": "https://doi.org/10.5194/bg-15-1933-2018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-15-1933-2018", "name": "item", "description": "10.5194/bg-15-1933-2018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-15-1933-2018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-11-21T00:00:00Z"}}, {"id": "10.5194/egusphere-2023-1681", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:14Z", "type": "Report", "created": "2023-08-14", "title": "The Effects of Land Use on Soil Carbon Stocks in the UK", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Greenhouse gas stabilisation in the atmosphere is one of the most pressing challenges of this century. Sequestering carbon in the soil by changing land use and management is increasingly proposed as part of climate mitigation strategies, but our understanding of this is limited in quantitative terms. Here we collate a substantial national and regional data set (15790 soil cores), and analyse it in an advanced statistical modelling framework. This produced new estimates of the effects of land use on soil carbon stocks in the UK, different in magnitude and ranking order from the previous best estimates. Soil carbon stocks were highest in woodlands, followed by rough grazing and semi-natural grasslands, then improved grasslands, and lowest in croplands. Estimates were smaller than the previous estimates, partly because of new data, but mainly because the effect is more reliably characterised using a logarithmic transformation of the data. With the very large data set analysed here, the uncertainty in the differences among land uses was small enough to identify consistent mean effects. However, the variability in these effects was large, and this was similar across all surveys. This has important implications for agri-environment schemes, seeking to sequester carbon in the soil by altering land use, because the effect of a given intervention is very hard to verify. We examined the validity of the 'space-for-time' substitution, and although the results were not unequivocal, we estimated that the effects are likely to be over-estimated by 5\u201333 %, depending upon land use.</p></article>", "keywords": ["2. Zero hunger", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.5194/egusphere-2023-1681"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/egusphere-2023-1681", "name": "item", "description": "10.5194/egusphere-2023-1681", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/egusphere-2023-1681"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-08-14T00:00:00Z"}}, {"id": "10.5194/egusphere-2025-3788", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:14Z", "type": "Report", "created": "2025-08-15", "title": "Accelerated lowland thermokarst development revealed by UAS photogrammetric surveys in the Stordalen mire, Abisko, Sweden", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. The estimation of greenhouse gas (GHG) emissions from permafrost soils is challenging, as organic matter propensity to decompose depends on factors such as soil pH, temperature, and redox conditions. Over lowland permafrost soils, these conditions are directly related to the microtopography and evolve with physical degradation, i.e., lowland thermokarst development (i.e., a local collapse of the land surface due to ice-rich permafrost thaw). A dynamic quantification of thermokarst development \u2013 still poorly constrained \u2013 is therefore a critical prerequisite for predictive models of permafrost carbon balance in these areas. This requires high-resolution mapping, as lowland thermokarst development induces fine-scale spatial variability (~50 \u2013 100 cm). Here we provide such a quantification, updated for the Stordalen mire in Abisko, Sweden for the Stordalen mire, Abisko, Sweden (68\u00b021'20'N 19\u00b002'38'E), which displays a gradient from well-drained stable palsas to inundated fens, which have undergone ground subsidence. We produced RGB orthomosaics and digital elevation models from very high resolution (10 cm) unoccupied aircraft system (UAS) photogrammetry as well as a spatially continuous map of soil electrical conductivity (EC) based on electromagnetic induction (EMI) measurements. We classified the land cover following the degradation gradient and derived palsa loss rates. Our findings confirm that topography is an essential parameter for determining the evolution of palsa degradation, enhancing the overall accuracy of the classification from 41 % to 77 %, with the addition of slope allowing the detection of the early stages of degradation. We show a clear acceleration of degradation for the period 2019 \u2013 2021, with a decrease in palsa area of 0.9 \u2013 1.1 %\u00b7a\u20111 (% reduction per year relative to the entire mire) compared to previous estimates of ~0.2 %\u00b7a\u20111 (1970 \u2013 2000) and ~0.04 %\u00b7a\u20111 (2000 \u2013 2014). EMI data show that this degradation leads to an increase in soil moisture, which in turn likely decreases organic carbon geochemical stability and potentially increases methane emissions. With a palsa loss of 0.9 \u2013 1.1 %\u00b7a\u20111, we estimate accordingly that surface degradation at Stordalen might lead to a pool of 12 metric tons of organic carbon exposed annually for the topsoil (23 cm depth), of which ~25 % is mineral-interacting organic carbon. Likewise, average annual emissions would increase from ~ 7.1 g\u2011C\u00b7m\u20112\u00b7a-1 in 2019 to ~ 7.3 g\u2011C\u00b7m\u20112\u00b7a\u20111 in 2021 for the entire mire, i.e., an increase of ~1.3 %\u00b7a-1. As topography changes due to lowland thermokarst are fine-scaled and thus not possible to detect from satellite images, circumpolar up-scaling assessments are challenging. By extending the monitoring we have conducted as part of this study to other lowland areas, it would be possible to assess the spatial variability of palsa degradation/thermokarst formation rates and thus improve estimates of net ecosystem carbon dynamics.</p></article>"}, "links": [{"href": "https://doi.org/10.5194/egusphere-2025-3788"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/egusphere-2025-3788", "name": "item", "description": "10.5194/egusphere-2025-3788", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/egusphere-2025-3788"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-08-15T00:00:00Z"}}, {"id": "10.5194/egusphere-egu2020-19498", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:14Z", "type": "Report", "created": "2020-03-10", "title": "Urban carbon dioxide flux monitoring using Eddy Covariance and Earth Observation: An introduction to diFUME project", "description": "<p>         &amp;lt;p&amp;gt;Monitoring CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; emissions originating from urban areas has become a necessity to support sustainable urban planning strategies and climate change mitigation efforts. Integrative decision support, where net effects of various emission/sink components are considered and compared, is now an increasingly relevant part of urban planning processes. The current emission inventories rely on indirect approaches that use fuel and electricity consumption statistics for determining CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; emissions. The consistency of such approaches is questionable and they usually neglect the contribution of the biogenic components of the urban carbon cycle (i.e. vegetation, soil). Moreover, their spatial and temporal scales are restricted because consumption statistics are often available in coarse spatial scales (national, provincial/state, municipal) and usually scaled down using proxy data (e.g. population density) to city-scale annual estimates. The diFUME project (https://mcr.unibas.ch/difume/) is developing a methodology for mapping and monitoring the actual urban CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; flux at optimum spatial and temporal scales, meaningful for urban design decisions. The goal is to develop, apply and evaluate independent models, capable to estimate all the different components of the urban carbon cycle (i.e. building emissions, traffic emissions, human metabolism, photosynthetic uptake, plant respiration, soil respiration), combining mainly Eddy Covariance (EC) with Earth Observation (EO) data. EC provides continuous in-situ measurements of CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; flux at the local scale. Processing, analysis and interpretation of urban EC measurements is challenging due to the inherent spatial complexity of CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; source and sink configurations of the urban structure. The diFUME methodology is using multiple EO datasets to achieve multi-scale monitoring of urban cover, morphology and vegetation phenology in order to characterize the urban source/sink configurations and parameterize turbulent flux source area models. Such combination of EC and EO provides enhanced interpretation of the measured CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; flux, analysis of its controlling factors and therefore the potential of fine scale mapping and monitoring. The diFUME methodology is being developed and applied in the city of Basel, exploiting the available long-term database (&amp;gt; 15 years) of urban EC measurements. The first results highlight the potential of EO-derived geospatial data to interpret the complexity of urban EC measurements. Seasonal and land cover related trends in the EC-measured CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; flux are recognized, while the use of environmental, census and mobility datasets are increasing the interpretation capabilities and the modelling potential of the urban CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; flux patterns.&amp;lt;/p&amp;gt;         </p>", "keywords": ["diFUME", "13. Climate action", "11. Sustainability", "urban carbon dioxide flux", "15. Life on land", "7. Clean energy", "6. Clean water", "12. Responsible consumption"]}, "links": [{"href": "https://doi.org/10.5194/egusphere-egu2020-19498"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/egusphere-egu2020-19498", "name": "item", "description": "10.5194/egusphere-egu2020-19498", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/egusphere-egu2020-19498"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-23T00:00:00Z"}}, {"id": "10.5194/gmd-15-8411-2022", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:18Z", "type": "Journal Article", "created": "2022-11-21", "title": "Global biomass burning fuel consumption and emissions at 500\u2009m spatial resolution based on the Global Fire Emissions Database (GFED)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. In fire emission models, the spatial resolution of both the modelling framework and the satellite data used to quantify burned area can have considerable impact on emission estimates. Consideration of this sensitivity is especially important in areas with heterogeneous land cover and fire regimes and when constraining model output with field measurements. We developed a global fire emissions model with a spatial resolution of 500\u2009m using MODerate resolution Imaging Spectroradiometer (MODIS) data. To accommodate this spatial resolution, our model is based on a simplified version of the Global Fire Emissions Database (GFED) modelling framework. Tree mortality as a result of fire, i.e.\u00a0fire-related forest loss, was modelled based on the overlap between 30\u2009m forest loss data and MODIS burned area and active fire detections. Using this new 500\u2009m model, we calculated global average carbon emissions from fire of 2.1\u00b10.2 (\u00b11\u03c3 interannual variability, IAV)\u2009Pg\u2009C\u2009yr\u22121 during 2002\u20132020. Fire-related forest loss accounted for 2.6\u00b10.7\u2009% (uncertainty range =1.9\u2009%\u20133.3\u2009%) of global burned area and 24\u00b16\u2009% (uncertainty range =16\u2009%\u201331\u2009%) of emissions, indicating that fuel consumption in forest fires is an order of magnitude higher than the global average. Emissions from the combustion of soil organic carbon (SOC) in the boreal region and tropical peatlands accounted for 13\u00b14\u2009% of global emissions. Our global fire emissions estimate was higher than the 1.5\u2009Pg\u2009C\u2009yr\u22121 from GFED4 and similar to 2.1\u2009Pg\u2009C\u2009yr\u22121 from GFED4s. Even though GFED4s included more burned area by accounting for small fires undetected by the MODIS burned area mapping algorithm, our emissions were similar to GFED4s due to higher average fuel consumption. The global difference in fuel consumption could mainly be explained by higher SOC emissions from the boreal region as constrained by additional measurements. The higher resolution of the 500\u2009m model also contributed to the difference by improving the simulation of landscape heterogeneity and reducing the scale mismatch in comparing field measurements to model grid cell averages during model calibration. Furthermore, the fire-related forest loss algorithm introduced in our model led to more accurate and widespread estimation of high-fuel-consumption burned area. Recent advances in burned area detection at resolutions of 30\u2009m and finer show a substantial amount of burned area that remains undetected with 500\u2009m sensors, suggesting that global carbon emissions from fire are likely higher than our 500\u2009m estimates. The ability to model fire emissions at 500\u2009m resolution provides a framework for further improvements with the development of new satellite-based estimates of fuels, burned area, and fire behaviour, for use in the next generation of GFED.                     </p></article>", "keywords": ["QE1-996.5", "13. Climate action", "11. Sustainability", "Geology", "15. Life on land", "01 natural sciences", "7. Clean energy", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.5194/gmd-15-8411-2022"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/gmd-15-8411-2022", "name": "item", "description": "10.5194/gmd-15-8411-2022", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-15-8411-2022"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-30T00:00:00Z"}}, {"id": "10.5194/gmd-17-8023-2024", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:18Z", "type": "Journal Article", "created": "2024-11-11", "title": "Simulating Ips typographus L. outbreak dynamics and their influence on carbon balance estimates with ORCHIDEE r8627", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. New (a)biotic conditions resulting from climate change are expected to change disturbance dynamics, such as windthrow, forest fires, droughts, and insect outbreaks, and their interactions. These unprecedented natural disturbance dynamics might alter the capability of forest ecosystems to buffer atmospheric CO2 increases, potentially leading forests to transform from sinks into sources of CO2. This study aims to enhance the ORCHIDEE land surface model to study the impacts of climate change on the dynamics of the bark beetle, Ips typographus, and subsequent effects on forest functioning. The Ips typographus outbreak model is inspired by previous work from Temperli et al.\u00a0(2013) for the LandClim landscape model. The new implementation of this model in ORCHIDEE r8627 accounts for key differences between ORCHIDEE and LandClim: (1)\u00a0the coarser spatial resolution of ORCHIDEE; (2)\u00a0the higher temporal resolution of ORCHIDEE; and (3)\u00a0the pre-existing process representation of windthrow, drought, and forest structure in ORCHIDEE. Simulation experiments demonstrated the capability of ORCHIDEE to simulate a variety of post-disturbance forest dynamics observed in empirical studies. Through an array of simulation experiments across various climatic conditions and windthrow intensities, the model was tested for its sensitivity to climate, initial disturbance, and selected parameter values. The results of these tests indicated that with a single set of parameters, ORCHIDEE outputs spanned the range of observed dynamics. Additional tests highlighted the substantial impact of incorporating Ips typographus outbreaks on carbon dynamics. Notably, the study revealed that modeling abrupt mortality events as opposed to a continuous mortality framework provides new insights into the short-term carbon sequestration potential of forests under disturbance regimes by showing that the continuous mortality framework tends to overestimate the carbon sink capacity of forests in the 20- to 50-year range in ecosystems under high disturbance pressure compared to scenarios with abrupt mortality events. This model enhancement underscores the critical need to include disturbance dynamics in land surface models to refine predictions of forest carbon dynamics in a changing climate.                     </p></article>", "keywords": ["[SDE] Environmental Sciences", "QE1-996.5", "[SDE]Environmental Sciences", "Geology"]}, "links": [{"href": "https://doi.org/10.5194/gmd-17-8023-2024"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/gmd-17-8023-2024", "name": "item", "description": "10.5194/gmd-17-8023-2024", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-17-8023-2024"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-11T00:00:00Z"}}, {"id": "10.5194/hess-29-5299-2025", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:19Z", "type": "Journal Article", "created": "2025-01-08", "title": "Dynamic assessment of rainfall erosivity in Europe: evaluation of EURADCLIM ground-radar data", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Heavy rainfall is the main driver of water-induced soil erosion, necessitating accurate spatial and temporal predictions of rainfall erosivity to predict the soil erosion response. This study evaluates the ground radar-based EUropean RADar CLIMatology (EURADCLIM) precipitation grids to quantify rainfall erosivity across European countries. Compared to Global Rainfall Erosivity Database (GloREDa) gauge-based interpolations, EURADCLIM overpredicts rainfall erosivity, principally due to residual artefacts in some regions which inflate the instantaneous rainfall rates. Overprediction is most pronounced in European regions with lower radar antenna coverage and complex topography, whereas flatter regions with lower erosivity and better radar coverage are better predicted. Disagreement attributes to the input radar quality in EURADCLIM (derived from OPERA) and to a lesser extent the uncertainty in GloREDa due to its limited gauge records in some regions. Event (EI30) time series analysis showed reasonably good performance (KGE &gt; 0.4) in 50 % of the evaluated gauge locations, although significant overprediction by EURADCLIM was evident in the upper quantiles in some countries. Accounting for the propagation of these remaining time-slice artefacts, which have a large impact on the temporally-aggregated R-factor, applying a 80 mm/h threshold to limit the maximum I30 value (i.e., less than 0.1 % of GloREDa events exceed this threshold) during the calculation of rainfall erosivity significantly improves the performance of the EURADCLIM dataset at annual, monthly and event time scale. Following adjustment, EURADCLIM best agrees with GloREDa across Europe in July and August, while bigger differences were observed in June and winter in general. Annually, the spatially aggregated rainfall erosivity per country had a percent bias below 10 %. While applying simple I30 thresholds is promising, radar artefacts remain significant in areas with lower quality rainfall retrievals. Notably, regions in Europe with lower quality or absent data furthermore coincide with established high soil erosion rates. In the absence of spatiotemporally continuous, high-quality ground-radar retrievals across Europe, we show the value of ensemble R-factor layers of EURADCLIM with three other rainfall erosivity grids (e.g., satellite retrievals) and discuss the possibility of ground radar to offer unique spatial detail in such ensembles.</p></article>"}, "links": [{"href": "https://doi.org/10.5194/hess-29-5299-2025"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/hess-29-5299-2025", "name": "item", "description": "10.5194/hess-29-5299-2025", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-29-5299-2025"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-08T00:00:00Z"}}, {"id": "10.5281/zenodo.10065971", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:21Z", "type": "Dataset", "title": "Database of topsoil  chemical and physical properties in Croatia", "description": "Sources Data for database is collected from four main sources:\u00a0  Data published in book 'Martinovi\u0107, J. and Vrankovi\u0107, A. (Editors), 1997. Baza podataka o hrvatskim tlima, I. Dr\u017eavna uprava za za\u0161titu prirode i okoli\u0161a, Zagreb' labeled as 'martinovic_1997' in the database.  This source consists of 2199 pedological profiles sampled from 1963 to 1996, most of which include depth to bedrock information. Data from project: 'Spatial variability of trace and toxic metals in agricultural soils of Croatia', Ministry of Science and Education and Croatian Waters. Project leader: prof.dr.sc. Marija Romi\u0107 from Faculty of Agriculture, Zagreb, labeled as 'agricultural_2013'.  Data are sampled from 'database of properties and quality of agricultural soils of Croatia' on 8x8 km grid and consists only from top soil samples (0-30 cm). There are 811 samples in this database. Data from the the project: 'Change in soil carbon stocks and calculation of trends in total nitrogen and organic carbon in soil and C: N ratio', from Ministry of Environmental Protection and Energy, carried on by Croatian Geological Institute (HGI), the Croatian Forestry Institute (H\u0160I) and the Agricultural Land Agency (APZ).  This dataset consists of two subsets:  'azo_2013' - 2519 samples of topsoil (0-25 cm), from 1994 to 2004 for making of Geochemistry Atlas of Croatia 'azo_2016' - 742 locations were revisited during 2015-2016 and new samples are taken and analyzed in horizons 0-10 cm, 10-20 cm, 20-30 cm. Network of piezometers Description of sources\u00a0 Martinovi\u0107, J. and Vrankovi\u0107, A. (Editors), 1997. Baza podataka o hrvatskim tlima (Database of Croatian Soils)\u00a0 The database contains data on soil profiles and covers the total area of the Republic of Croatia. Only data accepted by external control are entered in the Database, as well as those profiles for which there is a minimum data. External control of data reliability was performed by comparing the genetical-morphological characteristics of the soil determined by field research and the data of laboratory soil analyses. The profiles for which the field and laboratory analyses are found to differ are rejected. In addition to data on soil properties, basic data on pedogenetic factors are given. The soil profiles surveyed in the period 1963-1996 are entered in the database. The majority of data come from the Basic Pedological Map of Croatia (Osnovna pedolo\u0161ka karta Hrvatske - OPKH) project. The following are entered in the Database: 1347 profiles in volume I and 851 profiles in volume II, a total of 2198 pedological profiles Spatial variability of trace and toxic metals in agricultural soils of Croatia, Project Leader: Marija Romi\u0107\u00a0 The problem of exposure of agricultural soils to different anthropogenic inputs of toxic metals, but also of other potentially toxic substances, has acquired global dimensions in the last decades. Besides atmospheric deposition, environmental dispersion of chemicals used in agriculture is an important factor directly affecting the natural soil functions, or indirectly endangering the biosphere by bioaccumulation and inclusion into the food chain. Metal concentrations in soil can be generally predicted starting with the element abundance in the parent material. The extent to which pedogenesis affects heavy metals distribution varies according to the prevailing factors affecting soil processes. Because of the toxicity to plants and animals, it is important to determine their content, forms and distribution. Such hypotheses may be tested by total metal content determination, as well as other elements relevant for geochemical valorization of the agricultural soils of Croatia. Thus, the spatial variability and baseline of elements in soils will be determined by means of relevant statistical and geostatistical methods. The maps of toxic metal distribution will be produced and the suitability of soils for agriculture will be assessed. GIS is increasingly used in environmental assessment studies because of its ability to superimpose different spatial information and to combine them with the results of statistical analysis, enabling thus the detection of complex spatial relationships among different parameters. Geostatistics and multivariate statistics has been widely used in geochemical studies to identify pollution sources and to apportion natural vs. anthropogenic contribution, establishing a geochemical background as well. The main objectives of the investigation are: (i) to provide a geochemical database relevant to the agricultural soils in Croatia; (ii) to provide a detailed information about the natural variability of the geochemical background which is pertinent to administrative and legal issues as well as to safety food production and environmental protection; (iii) presenting the influence of human and other environmental activities on the soil quality mainly regarding the toxic and trace metal contents, and (iv) we are going to observe the influence of natural conditions on regional differences which have been widely neglected so far, and have not been taken into account while national regulations and guidelines on soil toxic metal contents have been established. Change in soil carbon stocks and calculation of trends in total nitrogen and organic carbon in soil and C: N ratio\u00a0 The project is funded by the Fund for Environmental Protection and Energy Efficiency within the Program 'Upgrading and Development of the Environmental Information System and Improving the Monitoring and Reporting System on the State of the Environment in the Republic of Croatia', Component 2: Improving the Monitoring and Reporting System on the State of the Environment Croatia; improving the system of data collection and exchange and developing methodologies for their processing in accordance with the guidelines of the UNFCCC and the Kyoto Protocol defined by the IPCC (Intergovernmental Panel on Climate Change).\u00a0 The project holder is the Ministry of Environmental Protection and Energy, and the executors are the Croatian Geological Institute, the Croatian Forestry Institute and the Agricultural Land Agency. In the period 2014-2017, field and laboratory research of soil conditions was conducted at 725 representative locations. General data on the location of sampling were collected, which contain administrative, locational, geographical and other data (relief, climatic and meteorological data, detailed data on land use and vegetation cover, description of surface soil properties). Field soil sampling for each LULUCF land use category was performed according to a modified methodology described in the EU DG JRC (Joint Research Center) 'Protocol for soil sampling to confirm changes in organic carbon stocks in the EU' by Stolbovoy et al. 2007 (Soil sampling protocol to certify the changes of organic carbon stock in mineral soil of the European Union - EU JRC). The protocol modifications aimed to ensure reporting under the UNFCCC and Kyoto protocols, i.e., to ensure compliance with the IPCC methodology. Soil sampling on forest land (FL) according to the JRC protocol is planned at two depths of 0-10 cm and 10 - 20 cm and an organic layer (list), but due to reporting requirements under the UNFCCC and Kyoto protocol, sampling was carried out at a depth of 20 - 30 cm. Land under crops (CL) was sampled at two depths (0-20 cm and 20-30 cm) and grasslands (GL), wetlands (WL), settlements (SL) and other land (OL) were sampled at three depths 0- 10, 10-20 and 20-30 cm. Geochemical analyzes were performed at depths of 0\u201310 and 20\u201330 cm for forest soils (FL) and for meadows and pastures (GL) while for soils under crops (CL) composite samples of 0\u201330 cm and 0\u201320 cm were analyzed. Network of piezometers To get a more accurate depth to bedrock parameter, positions of 812 piezometers are considered as they have at least 4 meters of depth to bedrock. Description of database Column names and descriptions: Metadata columns: site_key - unique identifier that identifies sample in source database\u00a0source_db - label of source database\u00a0source_sampled - label of organization/team who sampled and analyzed data\u00a0site_obsdate - year of taking sample\u00a0longitude_decimal_degrees - longitude in degrees in WGS84 geographical projection\u00a0latitude_decimal_degrees - latitude in degrees in WGS84 geographical projection\u00a0pedon_completeness_index - quality factor (0-100)\u00a0taxgrtgroup - classification of sample according to WBR 2014/2016 classification\u00a0 Soil properties columns: column name - property - measurement units - descriptionoc - Carbon, Organic - % wt - CMS analyte. Organic carbon is a measure of all organic forms of carbon in the soil, including organic carbon within minerals.\u00a0n_tot_ncs - Nitrogen, Total NCS - % wt - Total nitrogen is a measure of all organic and inorganic nitrogen, including that found in nitrogen minerals.ca_mehlich3 - Calcium, Mehlich3 Extractable \u00a0- mg/kg - The calcium extracted by the Mehlich III solution.\u00a0k_mehlich3 - Potassium, Mehlich3 Extractable - mg/kg - The potassium extracted by the Mehlich III solution.\u00a0mg_mehlich3 - Magnesium, Mehlich3 Extractable - mg/kg - The magnesium extracted by the Mehlich III solution.\u00a0p_mehlich3 - Phosphorus, Mehlich3 Extractable - mg/kg - The phosphorus extracted by the Mehlich III solution.\u00a0cec_sum - Cation Exchange Capacity, Summary \u00a0 cmol(+)/kg - The effective cation exchange capacity is calculated by BASE_SUM+AL_KCL. It is not calculated if soluble salts are present. It is reported as meq per 100 grams on a <2 mm base. CMS derived value default\u00a0ec_satp - Electrical Conductivity , Saturation Extract - dS/m - The electrical conductivity of the saturation extract is used to estimate the concentration of salts in a sample, and provides inferences on cation concentration in solution and osmotic pressure. It is reported as mmhos per centimeter.\u00a0caco3 - Carbonates - % wt - Carbonate in the < 2mm fraction is measured by CO2 evolution after acid treatment. It is reported as gravimetric percent CaCO3 on a <2 mm base, even though carbonates of Mg, Na, K, and Fe may be present and react with the acidph_h2o - pH, 1:1 Soil-Water Suspension - (NA) - The pH, 1:1 soil-water suspension is the pH of a sample measured in distilled water at a 1:1 soil:solution ratio. If wider ratios increase the pH, salts are indicated.\u00a0ph_kcl - The pH, 1:1 soil-KCl suspension - (NA) - The pH, 1:1 soil-KCl suspension is the pH of a sample measured in 1.0N KCl at a 1:1 soil:solution ratio. If the pH in KCl < pH in water, Al+++ is indicated.\u00a0total_clay - Clay, Total - % wt - Total clay is the soil separate with <0.002 mm particle diameter. Clay size carbonate is included. Total clay is reported as a weight percent of the <2 mm fraction.\u00a0total_silt - Silt, Total - % wt - Total silt is the soil separate with 0.002 to 0.05 mm particle size. It is reported as a gravimetric percent on a <2 mm base.\u00a0total_sand - Sand, Total - % wt - Total sand is the soil separate with 0.05 to 2.0 mm particle diameter. It is reported as a gravimetric percent on a <2 mm base.\u00a0wpg2 - Coarse fragments - % wt - The weight fraction of particles with >2 mm diameter is reported as a gravimetric percent on a whole soil base.\u00a0db_od Bulk Density, <2mm Fraction, Ovendry - g/cc - Bulk density, oven dry (105 C) is the weight per unit volume of the <2 mm fraction, with volume measured on oven dry (105 C) natural fabric (clods). It is reported as grams per cubic centimeter on a <2 mm base.\u00a0dbr - Depth to bedrock - cm - Depth to the R horizon or similar", "keywords": ["2. Zero hunger", "13. Climate action", "15. Life on land", "16. Peace & justice", "3. Good health"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10065971"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10065971", "name": "item", "description": "10.5281/zenodo.10065971", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10065971"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-11-02T00:00:00Z"}}, {"id": "10.5281/zenodo.10404687", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:23Z", "type": "Report", "title": "D4.3 \u2013 Capacity Building Plan", "description": "Acting as a messenger and conveying awareness-raising messages to national and regional\u00a0stakeholders, the NATI00NS project will assist the Mission during most of its first \u201cinduction and\u00a0pilot\u201d phase. Capacity Building (CB) is a crucial component of the NATI00NS project. The main\u00a0objective of these activities, led by the European Network of Living Labs (ENoLL), is to support\u00a0applicants interested in applying to the 2023 and 2024 Mission calls for proposals to create consortia\u00a0of Soil Health LLs and LHsto address soil health challenges. The efficient delivery of Capacity Building\u00a0activities will support the development and submission of high-quality proposals to the first two\u00a0sets of calls for LL projects, thus directly contributing to the success of the Soil Mission.The NATI00NS Capacity Building gathers the project\u2019s training and guidance activities for the\u00a0applicants to the LL open calls, making available online support material suitable to address the\u00a0questions of stakeholders related to the Mission LL call topics, criteria for Soil Health LLs, and the\u00a0Soil Missions objectives interpreted for specific land use types.The Capacity Building support of NATI00NS will be provided at two levels:    \u00a0Direct support to applicants is foreseen through a set of training and guiding activities, including the delivery of online support material. These activities primarily include:   o Five factsheets focussing on LL basics, information on the LLs topics, and soil healthobjectives and particularities across four specific land uses (agricultural, urban,industry, and forestry);\u00a0o Four webinars focussing on the constituency of the Living Labs methodology, the LLapplication process, and updated information on the 2023 calls results;o Six thematic webinars covering co-creation experiences in cutting-edge subjects andsoil health.    In parallel, specific support and training activities are foreseen for NATI00NS partners and external intermediate actors that will indirectly further support the applicants through mentoring activities. Helping these actors become better equipped to support the applicants will ensure a harmonized, fair, high-quality, and equal approach of NATI00NS to all applicants. These activities primarily include Train-the-Trainers sessions for mentors and ad-hoc trainings to NATI00NS partners.\u00a0   Additional NATI00NS actions will contribute to expanding the knowledge base of LL applicants, complementing the specific Capacity Building activities. These activities include National Engagement Events and the implementation of a Helpdesk.This document is primarily targeted to potential future LL applicants and sister projects and itpresents the plan and strategy for the Capacity Building activities to be implemented withinNATI00NS. The document is structured in five different chapters:    Introduction which provides an overview of the role of LLs as an agent of co-creation andthe benefits of the LL methodology  \u00a0Chapter 1 \u2013 NATI00NS Capacity Building providing an overview of the Capacity Buildingstrategy, including the planned timeline for the activities and accessibility to developmaterial  Chapter 2 \u2013 NATI00NS Capacity Building Activities that describes each CB activities plannedunder NATI00NS, as well as their related content development plan and implementationstrategy  Chapter 3 \u2013 Key Performance Indicators and Impact outlining the key performanceindicators that will be monitored along the project implementation to track progress andimpact of the different CB activities, and  Chapter 4 \u2013 Conclusions and Next Steps that offers a summary of the reflections on theperformed planning, also outlining the activities to be carried out in the upcoming monthsto ensure the correct delivery of the project activities.   The plan presented in this document is to be considered as a living document that will continue to\u00a0be updated, evaluated, and revised internally based on feedbacks and requests of potential\u00a0applicants, as well as based on the evolution of the EU Soil Mission and overall landscape. The report\u00a0demonstrates that the planning and implementation process is well underway for NATI00NS\u00a0Capacity Building activities and great progress has been made so far to roll out the activities.", "keywords": ["11. Sustainability", "15. Life on land"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10404687"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10404687", "name": "item", "description": "10.5281/zenodo.10404687", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10404687"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-09-04T00:00:00Z"}}, {"id": "10.5281/zenodo.10776891", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:25Z", "type": "Dataset", "title": "Landsat-based Spectral Indices for pan-EU 2000-2022", "description": "Description  General description  Here, we present the ARCO (analysis-ready and cloud-optimized) Landsat-based Spectral Indices data cube. Available at 30m resolution from 2000 to 2022, it includes multiple spectral indices and multi-tier predictors (bimonthly, annual, and long-term) for continental Europe, including Ukraine, the UK, and Turkey (excluding Svalbar). This data cube has a broad coverage of indices, each providing unique insights into different aspects, including: surface reflectance, vegetation, water, soil and crop. All data layers are cloud-masked and then gap-filled, ready for analysis, modeling, and mapping applications. Technical details:    Coordinate reference system: EPSG:3035  Bounding box (Xmin, Ymin, Xmax, Ymax): (900,000, 899,000, 7,401,000, 5,501,000)  Spatial resolution: 30m  Image size: 216,700P x 153,400L  File format: Cloud Optimized Geotiff (COG) format.   Considering the data volume, only bimonthly data layers for the years 2000 and 2022 are uploaded. However, all annual and long-term layers are available. For the full data cube, please visit this catalog. Due to Zenodo's storage limits, the data layers are stored in different buckets. Use the identifier-navigation list below to access the bucket of your interest and download the corresponding layers.  Identifier navigation list  This data cube includes 4 tiers of data, depending on the processing extend in the temporal scale:    Tier-1: Bimonthly Landsat reflectance bands2000 (Jan Mar May Jul Sep Nov) 2022 (Jan Mar May Jul Sep Nov)  Tier-2: Bimonthly spectral indices2000 (Jan Mar May Jul Sep Nov) 2022 (Jan Mar May Jul Sep Nov)  Tier-3: Annual predictors    Reflectance bands, NDVI and NDWI P252000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022  Reflectance bands, NDVI and NDWI P502000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022  Reflectance bands, NDVI and NDWI P752000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022  Aggregated spectral indices2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022  Cumulative spectral indices2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022    Tier-4: Long-term predictors 2000-2022trend P25 P50 P75   Name convention  To ensure consistency and ease of use across the data layers, we follow the standard Ai4SoilHealth and Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describe important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are:    generic variable name: ndti.min.slopes = the long term slope of minNDTI  variable procedure combination: glad.landsat.ard2.seasconv.yearly.min.theilslopes - theil slopes calculated from yearly minimum values of NDTI  Position in the probability distribution/variable type: m = mean | sd = standard deviation | n = number of observations | qa = quality assessment  Spatial support: 30m  Depth reference: s = surface  Time reference begin time: 20000101 = 2000-01-01  Time reference end time: 20221231 = 2022-12-31  Bounding box: eu = europe (without Svalbar)  EPSG code: epsg.3035  Version code: v20231218 = 2023-12-18 (creation date)   Citation  Please cite this dataset using the DOI: [10.5281/zenodo.10776891], which represents all versions of this dataset. This ensures your citation remains up to date with the latest version.  Support  If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a GitHub issue!  Long-term spectral indices trend  On this landing page of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube,\u00a0 four long-term spectral indices trend data are stored, as Zenodo doesn't allow empty buckets. Therefore, this page serves not only as the landing page for the entire dataset but also as the bucket for the long-term trend of spectral indices.", "contacts": [{"organization": "Tian, Xuemeng, Consoli, Davide, Leandro Parente, Ho, Yufeng, Hengl, Tom,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10776891"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10776891", "name": "item", "description": "10.5281/zenodo.10776891", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10776891"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-04T00:00:00Z"}}, {"id": "10.5281/zenodo.10777978", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:26Z", "type": "Dataset", "title": "Landsat-based soil spectral indices for pan-EU 2000-2022: Annual Landsat P25 (2004)", "description": "Description   This data is part of the Soil Health data cube (EU, 30m) dataset. Check the related identifiers section below to access other parts of the dataset.   General Description   This dataset covers pan-European areas, including Ukraine, the UK, and Turkey. This data cube could be used for applications such as soil property mapping and comprehensive soil health assessment across Europe. This data cube includes:      Long-term trend (2000-2022):         The long term trend data includes 4 pan-European trend maps: NDVI P50 trend, NDWI P50 trend, BSF trend, and minNDTI trend. They are calculated from the corresponding annual indices from 2000 to 2022.    Annual Landsat P25:         Derived from bimonthly Landsat surface reflectance bands, this data provides an annually aggregated P25 from 2000 to 2022. The bands include red, green, blue, nir, swir1, swir2, thermal bands, and 2 indices NDVI and NDWI.    Annual Landsat P50:         Similar to annual Landsat bands P25, but is aggregated as P50 instead. This data includes annual P50 aggregation of red, green, blue, nir, swir1, swir2, thermal, NDVI, and NDWI.   Annual Landsat P75:         Similar to annual Landsat bands P25, but is aggregated as P75 instead. This data includes annual P75 aggregation of red, green, blue, nir, swir1, swir2, thermal, NDVI, and NDWI.   Annual aggregated indices:         This dataset includes minimum NDTI, BSF, NOS and CDR. Each of them are annually aggregated from bimonthly NDVI time series within the corresponding year, through time analysis and statistics calculation.      Bimonthly Landsat bands:         Derived from Landsat ARD v2 to analysis-ready, cloud-optimized bimonthly Landsat surface reflectance bands, spanning from 2000 to 2022. The bands include red, green, blue, nir, swir1, swir2, and thermal bands.  Landsat ARD v2 provides spatial data of these bands, as well as the quality band at 16 days (23 layers of each year) interval from 2000 to 2023. Only pixels with clear sky according to quality band are kept. The gaps are firstly reduced by aggregating the 16 days interval data to bimonthly. The left gaps are then be gapfilled with SWAG method.    Bimonthly spectral indices:         This dataset is derived from bimonthly Landsat surface reflectance bands through band operation, including NDVI, BSI, NDTI, NDSI, SAVI, NDWI, and FAPAR.    Related identifiers      Long-term trend: 2000-2022   Annual Landsat P25: 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022   Annual Landsat P50: 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022   Annual Landsat P75: 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022   Annual aggregated indices: 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022      Bimonthly Landsat bands: 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022   Bimonthly spectral indices: 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022    Data Details      Time period: 2000\u20132022   Type of data: soil health data cube, with selected indices relevant to soil health monitoring.   How the data was collected or derived: Derived from Landsat ARD v2. Cloudy pixels were removed and only clear sky values were considered in further processing. The time-series gap-filling and time-series aggregation were computed using the Scikit-map Python package.   Statistical methods used: band operation, time series analysis and statistics calculation   Limitations or exclusions in the data: The dataset does not include data for Svalbard.    Coordinate reference system: EPSG:3035   Bounding box (Xmin, Ymin, Xmax, Ymax): (900,000, 899,000, 7,401,000, 5,501,000)   Spatial resolution: 30m   Image size: 216,700P x 153,400L   File format: Cloud Optimized Geotiff (COG) format.    Support   If you discover a bug, artifact, or inconsistency, or if you have a question please raise a GitHub issue: GitLab Issues (tbc)   Name convention   To ensure consistency and ease of use across and within the projects, we follow the standard Ai4SoilHealth and Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describe important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are:      generic variable name: ndti.min.slopes = the long term slope of minNDTI   variable procedure combination: glad.landsat.ard2.seasconv.yearly.min.theilslopes - theil slopes calculated from yearly minimum values of NDTI   Position in the probability distribution/variable type: m = mean | sd = standard deviation | n = number of observations | qa = quality assessment   Spatial support: 30m   Depth reference: s = surface   Time reference begin time: 20000101 = 2000-01-01   Time reference end time: 20221231 = 2022-12-31   Bounding box: go = global (without Antarctica)   EPSG code: epsg.3035   Version code: v20231218 = 2023-12-18 (creation date)", "contacts": [{"organization": "Tian, Xuemeng, Consoli, Davide, Leandro Parente, Ho, Yufeng, Hengl, Tom,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10777978"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10777978", "name": "item", "description": "10.5281/zenodo.10777978", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10777978"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-04T00:00:00Z"}}, {"id": "10.5281/zenodo.10778006", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-10-06T16:20:26Z", "type": "Dataset", "title": "Landsat-based soil spectral indices for pan-EU 2000-2022: Annual Landsat P25 (2018)", "description": "Description   This data is part of the Soil Health data cube (EU, 30m) dataset. Check the related identifiers section below to access other parts of the dataset.   General Description   This dataset covers pan-European areas, including Ukraine, the UK, and Turkey. This data cube could be used for applications such as soil property mapping and comprehensive soil health assessment across Europe. This data cube includes:      Long-term trend (2000-2022):         The long term trend data includes 4 pan-European trend maps: NDVI P50 trend, NDWI P50 trend, BSF trend, and minNDTI trend. They are calculated from the corresponding annual indices from 2000 to 2022.    Annual Landsat P25:         Derived from bimonthly Landsat surface reflectance bands, this data provides an annually aggregated P25 from 2000 to 2022. The bands include red, green, blue, nir, swir1, swir2, thermal bands, and 2 indices NDVI and NDWI.    Annual Landsat P50:         Similar to annual Landsat bands P25, but is aggregated as P50 instead. This data includes annual P50 aggregation of red, green, blue, nir, swir1, swir2, thermal, NDVI, and NDWI.   Annual Landsat P75:         Similar to annual Landsat bands P25, but is aggregated as P75 instead. This data includes annual P75 aggregation of red, green, blue, nir, swir1, swir2, thermal, NDVI, and NDWI.   Annual aggregated indices:         This dataset includes minimum NDTI, BSF, NOS and CDR. Each of them are annually aggregated from bimonthly NDVI time series within the corresponding year, through time analysis and statistics calculation.      Bimonthly Landsat bands:         Derived from Landsat ARD v2 to analysis-ready, cloud-optimized bimonthly Landsat surface reflectance bands, spanning from 2000 to 2022. The bands include red, green, blue, nir, swir1, swir2, and thermal bands.  Landsat ARD v2 provides spatial data of these bands, as well as the quality band at 16 days (23 layers of each year) interval from 2000 to 2023. Only pixels with clear sky according to quality band are kept. The gaps are firstly reduced by aggregating the 16 days interval data to bimonthly. The left gaps are then be gapfilled with SWAG method.    Bimonthly spectral indices:         This dataset is derived from bimonthly Landsat surface reflectance bands through band operation, including NDVI, BSI, NDTI, NDSI, SAVI, NDWI, and FAPAR.    Related identifiers      Long-term trend: 2000-2022   Annual Landsat P25: 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022   Annual Landsat P50: 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022   Annual Landsat P75: 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022   Annual aggregated indices: 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022      Bimonthly Landsat bands: 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022   Bimonthly spectral indices: 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022    Data Details      Time period: 2000\u20132022   Type of data: soil health data cube, with selected indices relevant to soil health monitoring.   How the data was collected or derived: Derived from Landsat ARD v2. Cloudy pixels were removed and only clear sky values were considered in further processing. The time-series gap-filling and time-series aggregation were computed using the Scikit-map Python package.   Statistical methods used: band operation, time series analysis and statistics calculation   Limitations or exclusions in the data: The dataset does not include data for Svalbard.    Coordinate reference system: EPSG:3035   Bounding box (Xmin, Ymin, Xmax, Ymax): (900,000, 899,000, 7,401,000, 5,501,000)   Spatial resolution: 30m   Image size: 216,700P x 153,400L   File format: Cloud Optimized Geotiff (COG) format.    Support   If you discover a bug, artifact, or inconsistency, or if you have a question please raise a GitHub issue: GitLab Issues (tbc)   Name convention   To ensure consistency and ease of use across and within the projects, we follow the standard Ai4SoilHealth and Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describe important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are:      generic variable name: ndti.min.slopes = the long term slope of minNDTI   variable procedure combination: glad.landsat.ard2.seasconv.yearly.min.theilslopes - theil slopes calculated from yearly minimum values of NDTI   Position in the probability distribution/variable type: m = mean | sd = standard deviation | n = number of observations | qa = quality assessment   Spatial support: 30m   Depth reference: s = surface   Time reference begin time: 20000101 = 2000-01-01   Time reference end time: 20221231 = 2022-12-31   Bounding box: go = global (without Antarctica)   EPSG code: epsg.3035   Version code: v20231218 = 2023-12-18 (creation date)", "contacts": [{"organization": "Tian, Xuemeng, Consoli, Davide, Leandro Parente, Ho, Yufeng, Hengl, Tom,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10778006"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10778006", "name": "item", "description": "10.5281/zenodo.10778006", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10778006"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-04T00:00:00Z"}}, {"id": "10.5281/zenodo.10778015", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:27Z", "type": "Dataset", "title": "Landsat-based soil spectral indices for pan-EU 2000-2022: Annual Landsat P25 (2022)", "description": "Description   This data is part of the Soil Health data cube (EU, 30m) dataset. Check the related identifiers section below to access other parts of the dataset.   General Description   This dataset covers pan-European areas, including Ukraine, the UK, and Turkey. This data cube could be used for applications such as soil property mapping and comprehensive soil health assessment across Europe. This data cube includes:      Long-term trend (2000-2022):         The long term trend data includes 4 pan-European trend maps: NDVI P50 trend, NDWI P50 trend, BSF trend, and minNDTI trend. They are calculated from the corresponding annual indices from 2000 to 2022.    Annual Landsat P25:         Derived from bimonthly Landsat surface reflectance bands, this data provides an annually aggregated P25 from 2000 to 2022. The bands include red, green, blue, nir, swir1, swir2, thermal bands, and 2 indices NDVI and NDWI.    Annual Landsat P50:         Similar to annual Landsat bands P25, but is aggregated as P50 instead. This data includes annual P50 aggregation of red, green, blue, nir, swir1, swir2, thermal, NDVI, and NDWI.   Annual Landsat P75:         Similar to annual Landsat bands P25, but is aggregated as P75 instead. This data includes annual P75 aggregation of red, green, blue, nir, swir1, swir2, thermal, NDVI, and NDWI.   Annual aggregated indices:         This dataset includes minimum NDTI, BSF, NOS and CDR. Each of them are annually aggregated from bimonthly NDVI time series within the corresponding year, through time analysis and statistics calculation.      Bimonthly Landsat bands:         Derived from Landsat ARD v2 to analysis-ready, cloud-optimized bimonthly Landsat surface reflectance bands, spanning from 2000 to 2022. The bands include red, green, blue, nir, swir1, swir2, and thermal bands.  Landsat ARD v2 provides spatial data of these bands, as well as the quality band at 16 days (23 layers of each year) interval from 2000 to 2023. Only pixels with clear sky according to quality band are kept. The gaps are firstly reduced by aggregating the 16 days interval data to bimonthly. The left gaps are then be gapfilled with SWAG method.    Bimonthly spectral indices:         This dataset is derived from bimonthly Landsat surface reflectance bands through band operation, including NDVI, BSI, NDTI, NDSI, SAVI, NDWI, and FAPAR.    Related identifiers      Long-term trend: 2000-2022   Annual Landsat P25: 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022   Annual Landsat P50: 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022   Annual Landsat P75: 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022   Annual aggregated indices: 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022      Bimonthly Landsat bands: 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022   Bimonthly spectral indices: 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022    Data Details      Time period: 2000\u20132022   Type of data: soil health data cube, with selected indices relevant to soil health monitoring.   How the data was collected or derived: Derived from Landsat ARD v2. Cloudy pixels were removed and only clear sky values were considered in further processing. The time-series gap-filling and time-series aggregation were computed using the Scikit-map Python package.   Statistical methods used: band operation, time series analysis and statistics calculation   Limitations or exclusions in the data: The dataset does not include data for Svalbard.    Coordinate reference system: EPSG:3035   Bounding box (Xmin, Ymin, Xmax, Ymax): (900,000, 899,000, 7,401,000, 5,501,000)   Spatial resolution: 30m   Image size: 216,700P x 153,400L   File format: Cloud Optimized Geotiff (COG) format.    Support   If you discover a bug, artifact, or inconsistency, or if you have a question please raise a GitHub issue: GitLab Issues (tbc)   Name convention   To ensure consistency and ease of use across and within the projects, we follow the standard Ai4SoilHealth and Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describe important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are:      generic variable name: ndti.min.slopes = the long term slope of minNDTI   variable procedure combination: glad.landsat.ard2.seasconv.yearly.min.theilslopes - theil slopes calculated from yearly minimum values of NDTI   Position in the probability distribution/variable type: m = mean | sd = standard deviation | n = number of observations | qa = quality assessment   Spatial support: 30m   Depth reference: s = surface   Time reference begin time: 20000101 = 2000-01-01   Time reference end time: 20221231 = 2022-12-31   Bounding box: go = global (without Antarctica)   EPSG code: epsg.3035   Version code: v20231218 = 2023-12-18 (creation date)", "contacts": [{"organization": "Tian, Xuemeng, Consoli, Davide, Leandro Parente, Ho, Yufeng, Hengl, Tom,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10778015"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10778015", "name": "item", "description": "10.5281/zenodo.10778015", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10778015"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-04T00:00:00Z"}}, {"id": "10.5281/zenodo.10864875", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:27Z", "type": "Dataset", "title": "Landsat-based soil spectral indices for pan-EU 2000-2022: Annual Landsat P50 (2004)", "description": "Description   This data is part of the Soil Health data cube (EU, 30m) dataset. Check the related identifiers section below to access other parts of the dataset.   General Description   This dataset covers pan-European areas, including Ukraine, the UK, and Turkey. This data cube could be used for applications such as soil property mapping and comprehensive soil health assessment across Europe. This data cube includes:      Long-term trend (2000-2022):         The long term trend data includes 4 pan-European trend maps: NDVI P50 trend, NDWI P50 trend, BSF trend, and minNDTI trend. They are calculated from the corresponding annual indices from 2000 to 2022.    Annual Landsat P25:         Derived from bimonthly Landsat surface reflectance bands, this data provides an annually aggregated P25 from 2000 to 2022. The bands include red, green, blue, nir, swir1, swir2, thermal bands, and 2 indices NDVI and NDWI.    Annual Landsat P50:         Similar to annual Landsat bands P25, but is aggregated as P50 instead. This data includes annual P50 aggregation of red, green, blue, nir, swir1, swir2, thermal, NDVI, and NDWI.   Annual Landsat P75:         Similar to annual Landsat bands P25, but is aggregated as P75 instead. This data includes annual P75 aggregation of red, green, blue, nir, swir1, swir2, thermal, NDVI, and NDWI.   Annual aggregated indices:         This dataset includes minimum NDTI, BSF, NOS and CDR. Each of them are annually aggregated from bimonthly NDVI time series within the corresponding year, through time analysis and statistics calculation.      Bimonthly Landsat bands:         Derived from Landsat ARD v2 to analysis-ready, cloud-optimized bimonthly Landsat surface reflectance bands, spanning from 2000 to 2022. The bands include red, green, blue, nir, swir1, swir2, and thermal bands.  Landsat ARD v2 provides spatial data of these bands, as well as the quality band at 16 days (23 layers of each year) interval from 2000 to 2023. Only pixels with clear sky according to quality band are kept. The gaps are firstly reduced by aggregating the 16 days interval data to bimonthly. The left gaps are then be gapfilled with SWAG method.    Bimonthly spectral indices:         This dataset is derived from bimonthly Landsat surface reflectance bands through band operation, including NDVI, BSI, NDTI, NDSI, SAVI, NDWI, and FAPAR.    Related identifiers      Long-term trend: 2000-2022   Annual Landsat P25: 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022   Annual Landsat P50: 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022   Annual Landsat P75: 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022   Annual aggregated indices: 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022      Bimonthly Landsat bands: 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022   Bimonthly spectral indices: 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022    Data Details      Time period: 2000\u20132022   Type of data: soil health data cube, with selected indices relevant to soil health monitoring.   How the data was collected or derived: Derived from Landsat ARD v2. Cloudy pixels were removed and only clear sky values were considered in further processing. The time-series gap-filling and time-series aggregation were computed using the Scikit-map Python package.   Statistical methods used: band operation, time series analysis and statistics calculation   Limitations or exclusions in the data: The dataset does not include data for Svalbard.    Coordinate reference system: EPSG:3035   Bounding box (Xmin, Ymin, Xmax, Ymax): (900,000, 899,000, 7,401,000, 5,501,000)   Spatial resolution: 30m   Image size: 216,700P x 153,400L   File format: Cloud Optimized Geotiff (COG) format.    Support   If you discover a bug, artifact, or inconsistency, or if you have a question please raise a GitHub issue: GitLab Issues (tbc)   Name convention   To ensure consistency and ease of use across and within the projects, we follow the standard Ai4SoilHealth and Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describe important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are:      generic variable name: ndti.min.slopes = the long term slope of minNDTI   variable procedure combination: glad.landsat.ard2.seasconv.yearly.min.theilslopes - theil slopes calculated from yearly minimum values of NDTI   Position in the probability distribution/variable type: m = mean | sd = standard deviation | n = number of observations | qa = quality assessment   Spatial support: 30m   Depth reference: s = surface   Time reference begin time: 20000101 = 2000-01-01   Time reference end time: 20221231 = 2022-12-31   Bounding box: go = global (without Antarctica)   EPSG code: epsg.3035   Version code: v20231218 = 2023-12-18 (creation date)", "contacts": [{"organization": "Tian, Xuemeng, Consoli, Davide, Leandro Parente, Ho, Yufeng, Hengl, Tom,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10864875"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10864875", "name": "item", "description": "10.5281/zenodo.10864875", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10864875"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-25T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?offset=50&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?offset=50&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "prev", "title": "items (prev)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?offset=0", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?offset=100", "hreflang": "en-US"}], "numberMatched": 36148, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-10-23T01:37:16.968313Z"}