{"type": "FeatureCollection", "features": [{"id": "10.1016/j.gca.2017.04.040", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:16:36Z", "type": "Journal Article", "created": "2017-05-08", "title": "Tracing metal\u2013silicate segregation and late veneer in the Earth and the ureilite parent body with palladium stable isotopes", "description": "Abstract   Stable isotope studies of highly siderophile elements (HSE) have the potential to yield valuable insights into a range of geological processes. In particular, the strong partitioning of these elements into metal over silicates may lead to stable isotope fractionation during metal\u2013silicate segregation, making them sensitive tracers of planetary differentiation processes. We present the first techniques for the precise determination of palladium stable isotopes by MC-ICPMS using a 106Pd\u2013110Pd double-spike to correct for instrumental mass fractionation. Results are expressed as the per mil (\u2030) difference in the 106Pd/105Pd ratio (\u03b4106Pd) relative to an in-house solution standard (Pd_IPGP) in the absence of a certified Pd isotopic standard. Repeated analyses of the Pd isotopic composition of the chondrite Allende demonstrate the external reproducibility of the technique of \u00b10.032\u2030 on \u03b4106Pd. Using these techniques, we have analysed Pd stable isotopes from a range of terrestrial and extraterrestrial samples. We find that chondrites define a mean \u03b4106Pdchondrite\u00a0=\u00a0\u22120.19\u00a0\u00b1\u00a00.05\u2030. Ureilites reveal a weak trend towards heavier \u03b4106Pd with decreasing Pd content, similar to recent findings based on Pt stable isotopes (Creech et al., 2017), although fractionation of Pd isotopes is significantly less than for Pt, possibly related to its weaker metal\u2013silicate partitioning behaviour and the limited field shift effect. Terrestrial mantle samples have a mean \u03b4106Pdmantle\u00a0=\u00a0\u22120.182\u00a0\u00b1\u00a00.130\u2030, which is consistent with a late-veneer of chondritic material after core formation.", "keywords": ["[SDU] Sciences of the Universe [physics]", "Terrestrial planet accretion", "13. Climate action", "01 natural sciences", "Late-veneer", "Palladium", "Meteorites", "Stable isotopes", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.gca.2017.04.040"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geochimica%20et%20Cosmochimica%20Acta", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.gca.2017.04.040", "name": "item", "description": "10.1016/j.gca.2017.04.040", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.gca.2017.04.040"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-11-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2019.114061", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:16:42Z", "type": "Journal Article", "created": "2019-11-28", "title": "High-resolution and three-dimensional mapping of soil texture of China", "description": "The lack of detailed three-dimensional soil texture information largely restricts many applications in agriculture, hydrology, climate, ecology and environment. This study predicted 90 m resolution spatial variations of sand, silt and clay contents at a national extent across China and at multiple depths 0\u20135, 5\u201315, 15\u201330, 30\u201360, 60\u2013100 and 100\u2013200 cm. We used 4579 soil profiles collected from a national soil series inventory conducted recently and currently available environmental covariates. The covariates characterized environmental factors including climate, parent materials, terrain, vegetation and soil conditions. We constructed random forest models and employed a parallel computing strategy for the predictions of soil texture fractions based on its relationship with the environmental factors. Quantile regression forest was used to estimate the uncertainty of the predictions. Results showed that the predicted maps were much more accurate and detailed than the conventional linkage maps and the SoilGrids250m product, and could well represent spatial variation of soil texture across China. The relative accuracy improvement was around 245\u2013370% relative to the linkage maps and 83\u2013112% relative to the SoilGrids250m product with regard to the R2, and it was around 24\u201326% and 14\u201319% respectively with regard to the RMSE. The wide range between 5% lower and 95% upper prediction limits may suggest that there was a substantial room to improve current predictions. Besides, we found that climate and terrain factors are major controllers for spatial patterns of soil texture in China. The heat and water-driven physical and chemical weathering and wind-driven erosion processes primarily shape the pattern of clay content. The terrain, wind and water-driven deposition, erosion and transportation sorting processes of soil particles primarily shape the pattern of silt. The findings provide clues for modeling future soil evolution and for national soil security management under the background of global and regional environmental changes.", "keywords": ["2. Zero hunger", "Digital soil mapping", "13. Climate action", "Large extent", "Machine learning", "Environmental factors", "Uncertainty", "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/10.1016/j.geoderma.2019.114061"}, {"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": "10.1016/j.geoderma.2019.114061", "name": "item", "description": "10.1016/j.geoderma.2019.114061", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2019.114061"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-01T00:00:00Z"}}, {"id": "10.1016/j.scitotenv.2024.174491", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:17:10Z", "type": "Journal Article", "created": "2024-07-03", "title": "GIS mapping of agricultural plastic waste in southern Europe", "description": "The escalating use of plastics in agriculture, driven by global population growth and increasing food demand, has concurrently led to a rise in Agricultural Plastic Waste (APW) production. Effective waste management is imperative, prompting this study to address the initial step of management, that is the quantification and localization of waste generated from different production systems in diverse regions. Focused on four Southern European countries (Italy, Spain, Greece, and Portugal) at the regional level, the study uses Geographic Information System (GIS), land use maps, indices tailored to each specific agricultural application and each crop type for plastic waste mapping. Furthermore, after the data was employed, it was validated by relevant stakeholders of the mentioned countries. The study revealed Spain, particularly the Andalusia region, as the highest contributor to APW equal to 324,000 tons per year, while Portugal's Azores region had the lowest estimate equal to 428 tons per year. Significantly, this research stands out as one of the first to comprehensively consider various plastic applications and detailed crop cultivations within the production systems, representing a pioneering effort in addressing plastic waste management in Southern Europe. This can lead further on to the management of waste in this area and the transfer of the scientific proposition to other countries.", "keywords": ["NUTS 2 regional level", "Agricultural practices", "330", "Estimation of agricultural plastic waste", "National agricultural census", "Plastic pollution", "Geographic information system"]}, "links": [{"href": "https://doi.org/10.1016/j.scitotenv.2024.174491"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.scitotenv.2024.174491", "name": "item", "description": "10.1016/j.scitotenv.2024.174491", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.scitotenv.2024.174491"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-01T00:00:00Z"}}, {"id": "10.1071/sr13043", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:18:36Z", "type": "Journal Article", "created": "2013-12-20", "title": "Impact Of Carbon Farming Practices On Soil Carbon In Northern New South Wales", "description": "<p>This study sought to quantify the influence of \uffe2\uff80\uff98carbon farming\uffe2\uff80\uff99 practices on soil carbon stocks, in comparison with conventional grazing and cropping, in northern New South Wales. The study had two components: assessment of impacts of organic amendments on soil carbon and biological indicators in croplands on Vertosols of the Liverpool Plains; and assessment of the impact of grazing management on soil carbon in Chromosols of the Northern Tablelands. The organic amendment sites identified for the survey had been treated with manures, composts, or microbial treatments, while the conventional management sites had received only chemical fertilisers. The rotational grazing sites had been managed so that grazing was restricted to short periods of several days, followed by long rest periods (generally several months) governed by pasture growth. These were compared with sites that were grazed continuously. No differences in total soil carbon stock, or soil carbon fractions, were observed between sites treated with organic amendments and those treated with chemical fertiliser. There was some evidence of increased soil carbon stock under rotational compared with continuous grazing, but the difference was not statistically significant. Similarly, double-stranded DNA (dsDNA) stocks were not significantly different in either of the management contrasts, but tended to show higher values in organic treatments and rotational grazing. The enzymatic activities of \uffce\uffb2-glucosidase and leucine-aminopeptidase were significantly higher in rotational than continuous grazing but statistically similar for the cropping site treatments. Relative abundance and community structure, measured on a subset of the cropping sites, showed a higher bacteria\uffe2\uff80\uff89:\uffe2\uff80\uff89fungi ratio and provided evidence that microbial process rates were significantly higher in chemically fertilised sites than organic amendment sites, suggesting enhanced mineralisation of organic matter under conventional management. The higher enzyme activity and indication of greater efficiency of microbial populations on carbon farming sites suggests a greater potential to build soil carbon under these practices. Further research is required to investigate whether the indicative trends observed reflect real effects of management.</p>", "keywords": ["2. Zero hunger", "Land Capability and Soil Degradation", "550", "XXXXXX - Unknown", "0401 agriculture", " forestry", " and fisheries", "Carbon Sequestration Science", "04 agricultural and veterinary sciences", "15. Life on land", "Land capability and soil productivity"]}, "links": [{"href": "https://doi.org/10.1071/sr13043"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1071/sr13043", "name": "item", "description": "10.1071/sr13043", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1071/sr13043"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-01-01T00:00:00Z"}}, {"id": "10.1073/pnas.2113148118", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:18:38Z", "type": "Journal Article", "created": "2021-09-14", "title": "Microbial self-recycling and biospherics", "description": "Microbes are well known as potent recyclers of leftover biomass in ecosystems, preventing nutrient cycles from simply getting stuck (1). However, a lot less is known about how microbes can recycle themselves, their own biomass. This is highly relevant, because microbes don\u2019t often find themselves in front of a lavish buffet, but rather have to eke out a living at the edge of nutrient and energy starvation. In their paper in PNAS, Shoemaker et al. (2) examine the ability of populations of bacteria to recycle their own biomass, elegantly combining long-term experiments with modeling. The authors enclosed 100 populations from 21 different taxa individually and followed their fate for 3 y\u2014all in the absence of matter or energy inputs. They find that almost all populations (except for one) survived, with extinction times estimated often in decades and far exceeding what would be expected from individual longevity under conditions of resource limitation. Thus, in many of the bacterial strains, when individuals die, living individuals can use the dead biomass of other individuals to increase their own survival and reproduction, thus greatly prolonging population persistence.  These results are relevant to many questions in environmental microbiology. For example, this recycling ability, and thus the ability to maintain oneself during periods of adversity, may be part of the remarkable \u2026   [\u21b5][1]1To whom correspondence may be addressed. Email: rillig{at}zedat.fu-berlin.de.   [1]: #xref-corresp-1-1", "keywords": ["2. Zero hunger", "15. Life on land", "Ecological Systems", " Closed", "Life Support Systems", "12. Responsible consumption", "3. Good health"]}, "links": [{"href": "https://pnas.org/doi/pdf/10.1073/pnas.2113148118"}, {"href": "https://doi.org/10.1073/pnas.2113148118"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20National%20Academy%20of%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1073/pnas.2113148118", "name": "item", "description": "10.1073/pnas.2113148118", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1073/pnas.2113148118"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-07T00:00:00Z"}}, {"id": "10.1093/plphys/kiad398", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:00Z", "type": "Journal Article", "created": "2023-07-10", "title": "Aromatic amino acid biosynthesis impacts root hair development and symbiotic associations inLotus japonicus", "description": "Abstract<p>Legume roots can be symbiotically colonized by arbuscular mycorrhizal (AM) fungi and nitrogen-fixing bacteria. In Lotus japonicus, the latter occurs intracellularly by the cognate rhizobial partner Mesorhizobium loti or intercellularly with the Agrobacterium pusense strain IRBG74. Although these symbiotic programs show distinctive cellular and transcriptome signatures, some molecular components are shared. In this study, we demonstrate that 3-deoxy-d-arabino-heptulosonate 7-phosphate synthase 1 (DAHPS1), the first enzyme in the biosynthetic pathway of aromatic amino acids (AAAs), plays a critical role in root hair development and for AM and rhizobial symbioses in Lotus. Two homozygous DAHPS1 mutants (dahps1-1 and dahps1-2) showed drastic alterations in root hair morphology, associated with alterations in cell wall dynamics and a progressive disruption of the actin cytoskeleton. The altered root hair structure was prevented by pharmacological and genetic complementation. dahps1-1 and dahps1-2 showed significant reductions in rhizobial infection (intracellular and intercellular) and nodule organogenesis and a delay in AM colonization. RNAseq analysis of dahps1-2 roots suggested that these phenotypes are associated with downregulation of several cell wall\uffe2\uff80\uff93related genes, and with an attenuated signaling response. Interestingly, the dahps1 mutants showed no detectable pleiotropic effects, suggesting a more selective recruitment of this gene in certain biological processes. This work provides robust evidence linking AAA metabolism to root hair development and successful symbiotic associations.</p", "keywords": ["580", "Plant biology", "570", "Phenotype", "Mycorrhizae", "Lotus", "Symbiosis", "Root Nodules", " Plant", "Plant Roots", "Research Article"]}, "links": [{"href": "https://academic.oup.com/plphys/article-pdf/193/2/1508/51727974/kiad398.pdf"}, {"href": "https://doi.org/10.1093/plphys/kiad398"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20Physiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1093/plphys/kiad398", "name": "item", "description": "10.1093/plphys/kiad398", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1093/plphys/kiad398"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-07-10T00:00:00Z"}}, {"id": "10.1111/1477-8947.12071", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:14Z", "type": "Journal Article", "created": "2015-08-19", "title": "Resource Conservation Strategies For Rice-Wheat Cropping Systems On Partially Reclaimed Sodic Soils Of The Indo-Gangetic Region, And Their Effects On Soil Carbon", "description": "Abstract<p>The Indo\uffe2\uff80\uff90Gangetic plain is characterized by intensive agriculture, largely by resource\uffe2\uff80\uff90poor small and marginal farmers. Vast swathes of salt\uffe2\uff80\uff90affected areas in the region provide both challenges and opportunities to bolster food security and sequester carbon after reclamation. Sustainable management of reclaimed soils via resource conservation strategies, such as residue retention, is key to the prosperity of the farmer, as well as increases the efficiency of expensive initiatives to further reclaim sodic land areas, which currently lay barren. After five years of experimentation on resource conservation strategies for rice\uffe2\uff80\uff90wheat systems on partially reclaimed sodic soils of the Indo\uffe2\uff80\uff90Gangetic region, we evaluated changes in different soil carbon pools and crop yield. Out of all resource conservation techniques which were tested, rice\uffe2\uff80\uff90wheat crop residue addition (30% of total production) was most effective in increasing soil organic carbon (SOC). In rice, without crop residue addition (WCR), soils under zero\uffe2\uff80\uff90tillage with transplanting, summer ploughing with transplanting and direct seeding with brown manuring showed a significant increase in SOC over the control (puddling in rice, conventional tillage in wheat). In these treatments relatively higher levels of carbon were attained in all aggregate fractions compared to the control. Soil aggregate sizes in meso (0.25\uffe2\uff80\uff902.0\uffe2\uff80\uff89mm) and macro (2\uffe2\uff80\uff908\uffe2\uff80\uff89mm) ranges increased, whereas micro (&lt; 0.25\uffe2\uff80\uff89mm) fractions decreased in soils under zero\uffe2\uff80\uff90till practices, both with and without crop residue addition. Direct seeding with brown manuring and zero tillage with transplanting also showed an increase of 135% and 95%, respectively, over the control in microbial biomass carbon, without crop residue incorporation. In zero tillage with transplanting treatment, both with and without crop residue showed significant increase in soil carbon sequestration potential. Though the changes in accrued soil carbon did not bring about significant differences in terms of grain yield, overall synthesis in terms of balance between yield and carbon sequestration indicated that summer ploughing with transplanting and zero tillage with transplanting sequestered significantly higher rates of carbon, yet yielded on par with conventional practices. These could be appropriate alternatives to immediately replace conventional tillage and planting practices for rice\uffe2\uff80\uff90wheat cropping systems in the sodic soils of the Indo\uffe2\uff80\uff90Gangetic region.</p>", "keywords": ["2. Zero hunger", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "12. Responsible consumption"]}, "links": [{"href": "https://doi.org/10.1111/1477-8947.12071"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Natural%20Resources%20Forum", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/1477-8947.12071", "name": "item", "description": "10.1111/1477-8947.12071", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/1477-8947.12071"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-05-01T00:00:00Z"}}, {"id": "10.1111/gcb.12819", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:21Z", "type": "Journal Article", "created": "2014-12-05", "title": "Soil Warming And Co2 Enrichment Induce Biomass Shifts In Alpine Tree Line Vegetation", "description": "Abstract<p>Responses of alpine tree line ecosystems to increasing atmospheric CO2 concentrations and global warming are poorly understood. We used an experiment at the Swiss tree line to investigate changes in vegetation biomass after 9\uffc2\uffa0years of free air CO2 enrichment (+200\uffc2\uffa0ppm; 2001\uffe2\uff80\uff932009) and 6\uffc2\uffa0years of soil warming (+4\uffc2\uffa0\uffc2\uffb0C; 2007\uffe2\uff80\uff932012). The study contained two key tree line species, Larix decidua and Pinus uncinata, both approximately 40\uffc2\uffa0years old, growing in heath vegetation dominated by dwarf shrubs. In 2012, we harvested and measured biomass of all trees (including root systems), above\uffe2\uff80\uff90ground understorey vegetation and fine roots. Overall, soil warming had clearer effects on plant biomass than CO2 enrichment, and there were no interactive effects between treatments. Total plant biomass increased in warmed plots containing Pinus but not in those with Larix. This response was driven by changes in tree mass (+50%), which contributed an average of 84% (5.7\uffc2\uffa0kg\uffc2\uffa0m\uffe2\uff88\uff922) of total plant mass. Pinus coarse root mass was especially enhanced by warming (+100%), yielding an increased root mass fraction. Elevated CO2 led to an increased relative growth rate of Larix stem basal area but no change in the final biomass of either tree species. Total understorey above\uffe2\uff80\uff90ground mass was not altered by soil warming or elevated CO2. However, Vaccinium myrtillus mass increased with both treatments, graminoid mass declined with warming, and forb and nonvascular plant (moss and lichen) mass decreased with both treatments. Fine roots showed a substantial reduction under soil warming (\uffe2\uff88\uff9240% for all roots &lt;2\uffc2\uffa0mm in diameter at 0\uffe2\uff80\uff9320\uffc2\uffa0cm soil depth) but no change with CO2 enrichment. Our findings suggest that enhanced overall productivity and shifts in biomass allocation will occur at the tree line, particularly with global warming. However, individual species and functional groups will respond differently to these environmental changes, with consequences for ecosystem structure and functioning.</p>", "keywords": ["0106 biological sciences", "2. Zero hunger", "Models", " Statistical", "Temperature", "Larix", "Carbon Dioxide", "15. Life on land", "Pinus", "Global Warming", "01 natural sciences", "Soil", "Species Specificity", "13. Climate action", "Biomass", "Tundra", "Switzerland"]}, "links": [{"href": "https://doi.org/10.1111/gcb.12819"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcb.12819", "name": "item", "description": "10.1111/gcb.12819", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.12819"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-01-30T00:00:00Z"}}, {"id": "10.11591/.v3i4.4696", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:20:02Z", "type": "Journal Article", "created": "2019-11-04", "title": "Factors associated with Institutional delivery in Boricha district of Sidama zone, southern Ethiopia", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>&lt;p style='color: #000000; font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 10px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial;'&gt;Every year, 40 million women give birth at home without the help of a&lt;br /&gt;skilled birth attendant. In 2011, 287,000 women died during pregnancy or childbirth. Almost all these deaths occur in developing countries where mothers and children lack access to basic health care. Reports showed the low utilization of health facility for delivery service in Ethiopia. This study aimed to determine the utilization and factors influencing institutional delivery. Community based cross sectional study was conducted from January to February 2013/14 in Boricha District of Southern Ethiopia among mothers who gave birth in the last 1 year. Multistage sampling techniques were used to collect data from 546 mothers. Taking in to account place of birth for the last child, only 4.9% women gave birth in a health facility. Women\u2019s education level (AOR=4.4 (95% CI=1.36-14.33)), timing of firstANC visit (AOR= .03 (95% CI=0.004 - 0.205)), women\u2019s advice to deliver in a health facility during ANC (AOR = 31.15 (95% CI=2.02-479.52)), women\u2019s knowledge of birth related complications (AOR= 12.4 (95% CI=2.67-57.16)) and decision making power (AOR=0.2 (95% CI=0.060.82)) showed significant association with institutionional delivery. Institutional delivery in the study area was found to be very low. Raising\u00a0awareness on institutional delivery to maximize delivery service utilization and strengthening provision of education and counseling to deliver in health facility during antenatal care visits at individual and community level should be given due emphasis.&lt;/p&gt;</p></article>", "keywords": ["2. Zero hunger", "03 medical and health sciences", "0302 clinical medicine", "1. No poverty", "3. Good health"]}, "links": [{"href": "https://doi.org/10.11591/.v3i4.4696"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Public%20Health%20Science%20%28IJPHS%29", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.11591/.v3i4.4696", "name": "item", "description": "10.11591/.v3i4.4696", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.11591/.v3i4.4696"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-12-01T00:00:00Z"}}, {"id": "10.1175/bams-d-20-0086.1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:20:04Z", "type": "Journal Article", "created": "2020-08-20", "title": "Tundra greenness", "description": "Physical and Space Geodesy", "keywords": ["[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatology", "[SDU.STU.ME] Sciences of the Universe [physics]/Earth Sciences/Meteorology", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://journals.ametsoc.org/downloadpdf/journals/bams/101/8/bamsD200086.xml"}, {"href": "https://doi.org/10.1175/bams-d-20-0086.1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Bulletin%20of%20the%20American%20Meteorological%20Society", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1175/bams-d-20-0086.1", "name": "item", "description": "10.1175/bams-d-20-0086.1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1175/bams-d-20-0086.1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-01T00:00:00Z"}}, {"id": "10138/578894", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:25:52Z", "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": "10.20381/ruor-18782", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:20:49Z", "created": "2008-01-01", "description": "Numerous forest fires occurred during the summer of 2004 in the Klondike Goldfields region of the Yukon Territory, an area of extensive discontinuous permafrost. More than 35 shallow detachment failure landslides developed in subsequent weeks in Steele Creek, a small drainage basin located about 60 km south of Dawson City. Preliminary observations of the failures and near-surface thermal regime were made through freeze-up of 2004 and continued in the summers of 2005 and 2006. Detachment failures were mapped and individual sites were surveyed. Air and ground temperatures were measured in burned and unburned areas. In addition, two-dimensional DC resistivity transects were used to examine subsurface conditions in the area. Forest fire contributed to detachment failure activity on permafrost slopes by destroying the surface organic mat, causing burned surface temperatures to rise, thawing active layers by up to 20 cm (+31%) deeper than unburned slopes and weakening the surface root structures. Deeper thaw melted transient layer ground ice, raising soil porewater pressures. The thermal differences between burned and unburned sites were greater at the north-facing than south-facing sites, and active layer freezing and thawing processes varied according to both aspect and burned status. More southerly-facing and/or burned sites generally thawed earlier, refroze later and had warmer temperatures than more northerly and/or unburned sites. Thaw of burned areas with high ground surface temperatures can be expected to continue, depending on climatic conditions, until sufficient revegetation occurs to shade the surface and rebuild the insulating organic mat. The detachment failures occurred from a few weeks to two years after forest fire, and only on slopes where permafrost was extensive. They were not similar to others in the literature in that almost all occurred in coarse-gained soils and had failure planes elevated above the permafrost table. These landslides were flow-type failures that rafted portions of the organic mat on top of deforming, non-cohesive sediment. They occurred in areas of deeper thaw but their distribution and the resistivity data suggest that they were associated with supra-permafrost taliks which concentrated groundwater flow. In an unglaciated area like the Klondike region this landsliding process has likely occurred thousands of times during the Pleistocene and may be responsible for elements of the form of the region's slopes. Predicted increases in the frequency and magnitude of forest fire in the boreal forest due to warming climates may increase incidence of these types of failures.", "keywords": ["Ecology", "Physical Geography", "550", "13. Climate action", "Forestry and Wildlife", "Physical Geography.", "Agriculture", "15. Life on land", "Biology", " Ecology.", "Biology", "Agriculture", " Forestry and Wildlife."], "contacts": [{"organization": "Coates, James", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.20381/ruor-18782"}, {"rel": "self", "type": "application/geo+json", "title": "10.20381/ruor-18782", "name": "item", "description": "10.20381/ruor-18782", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.20381/ruor-18782"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-01-01T00:00:00Z"}}, {"id": "10256/20567", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:25:53Z", "type": "Report", "title": "Efectividad del mindfulness in motion para incrementar la resiliencia en las enfermeras de la unidad de cuidados intensivos en el contexto de la pandemia: proyecto de investigaci\u00f3n", "description": "Open AccessSince 2019, the world is going through a pandemic due to a virus whose transmission is by air and by drops, called Sars-Cov-19, which it didn\u2019t take long to spread throughout the world. Due to this, health services were experiencing an increase in the number of cases due to infection, especially in Intensive Care Units (ICU). This unit, in addition to being collapsed by the number of critical cases, also suffered from the lack of institutional support due to the fear generated by the ignorance of the pandemic and the lack of material resources. As the pandemic continues, nurses need effective strategies to combat the negative psychological effects it can generate while continuing to work. There are current studies that have the objective of enhancing resilience to face situations such as current ones, such as Mindfulnes in Motion, a project based on Mindfulnes in situ aimed at this sector; It basically consists of the person being aware of their breathing through various sessions that are carried out on a weekly basis, accompanied by exercises that help work on resilience and enhance the work commitment of nurses in situations that can generate high levels of stress. The objective of the project is to implement and evaluate the effectiveness of the Minfulness in Motion (MiM) intervention and relate it to the sociodemographic and labor variables and other influencing factors, in the context of the Sars-Cov-19 pandemic. A descriptive and longitudinal quantitative study is proposed, almost experimental pre-post. It will be held in the Intensive Care Unit (ICU) of the Dr. Josep Trueta University Hospital of Girona. The study population will be the ICU nurses of the Hospital who have been working since the beginning of the pandemic in 2019 until the present", "keywords": ["Resili\u00e8ncia (Tret de la personalitat)", "Intensive care units", "COVID-19 (Disease)", "Nurses -- Job stress", "Mindfulness (Psychology)", "Infermeres -- Estr\u00e8s laboral", "Atenci\u00f3 plena", "Resilience (Personality trait)", "Infermeria en medicina intensiva", "Intensive care nursing", "Unitats de cures intensives", "COVID-19 (Malaltia)"], "contacts": [{"organization": "Gonz\u00e1lez Melo, Fernanda Victoria", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10256/20567"}, {"rel": "self", "type": "application/geo+json", "title": "10256/20567", "name": "item", "description": "10256/20567", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10256/20567"}, {"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": "10261/359343", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:26:00Z", "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": "10.3390/agronomy9050255", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:21:49Z", "type": "Journal Article", "created": "2019-05-21", "title": "Assimilation of Sentinel-2 Leaf Area Index Data into a Physically-Based Crop Growth Model for Yield Estimation", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Remote sensing data, crop growth models, and optimization routines constitute a toolset that can be used together to map crop yield over large areas when access to field data is limited. In this study, Leaf Area Index (LAI) data from the Copernicus Sentinel-2 satellite were combined with the Environmental Policy Integrated Climate (EPIC) model to estimate crop yield using a re-calibration data assimilation approach. The experiment was implemented for a winter wheat crop during two growing seasons (2016 and 2017) under four different fertilization management strategies. A number of field measurements were conducted spanning from LAI to biomass and crop yields. LAI showed a good correlation between the Sentinel-2 estimates and the ground measurements using non-destructive method. A correlating fit between satellite LAI curves and EPIC modelled LAI curves was also observed. The assimilation of LAI in EPIC provided an improvement in yield estimation in both years even though in 2017 strong underestimations were observed. The diverging results obtained in the two years indicated that the assimilation framework has to be tested under different environmental conditions before being applied on a larger scale with limited field data.</p></article>", "keywords": ["2. Zero hunger", "yield estimation", "S", "Leaf Area Index", "EPIC model", "Agriculture", "Crop growth model", "04 agricultural and veterinary sciences", "15. Life on land", "crop growth model", "Yield estimation", "13. Climate action", "Leaf area index", "Data assimilation", "0401 agriculture", " forestry", " and fisheries", "Sentinel-2", "data assimilation"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/9/5/255/pdf"}, {"href": "https://www.mdpi.com/2073-4395/9/5/255/pdf"}, {"href": "https://doi.org/10.3390/agronomy9050255"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/agronomy9050255", "name": "item", "description": "10.3390/agronomy9050255", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy9050255"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-21T00:00:00Z"}}, {"id": "10.3390/f4010137", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:21:53Z", "type": "Journal Article", "created": "2013-03-13", "title": "Early Effects Of Afforestation With Willow (Salix Purpurea, \"Hotel\") On Soil Carbon And Nutrient Availability", "description": "<p>Willow (Salix spp.) is currently being researched as a source of biomass energy in Canada. However, it is not certain whether afforestation with willow plantations will enhance or diminish soil C storage and nutrient availability. Trees are known to have pronounced effects on biologically mediated nutrient cycling processes which can increase nutrient availability, but willows are known to be nutrient demanding. In this paper, the net effect of plantation establishment is examined at nine sites across the prairie and southern Ontario regions of Canada. Carbon, N, P, K, Ca and Mg levels in soils and harvestable biomass were compared between willow plantations and paired reference sites at the end of the first three-year rotation. Soils were depleted in total C (\uffe2\uff88\uff922.22 mg\uffc2\uffb7g\uffe2\uff88\uff921, p &lt; 0.05), inorganic N (\uffe2\uff88\uff923.12 \uffce\uffbcg\uffc2\uffb7N\uffc2\uffb7g\uffe2\uff88\uff921, p &lt; 0.10), exchangeable K (\uffe2\uff88\uff920.11 cmolc\uffc2\uffb7kg\uffe2\uff88\uff921, p &lt; 0.10) and leachable P (\uffe2\uff88\uff920.03 mg\uffc2\uffb7g\uffe2\uff88\uff921, p &lt; 0.10). Exchangeable Ca was found to be consistently depleted only at the 20\uffe2\uff80\uff9340 depth. Depletion of soil K was more heavily influenced by disturbance, whereas soil N was directly affected by willow N uptake. Sites with greater growth and biocycling stabilized soil P concentrations.</p>", "keywords": ["2. Zero hunger", "570", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "biomass energy; short rotation intensive culture; <i>Salix</i>; fast growth; carbon sequestration; soil nutrient depletion; base cations; nitrogen; phosphorus", "15. Life on land", "01 natural sciences", "630", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/1999-4907/4/1/137/pdf"}, {"href": "https://doi.org/10.3390/f4010137"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forests", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/f4010137", "name": "item", "description": "10.3390/f4010137", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/f4010137"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-03-12T00:00:00Z"}}, {"id": "10.3390/rs13061133", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:22:04Z", "type": "Journal Article", "created": "2021-03-16", "title": "Assessing Irrigation Water Use with Remote Sensing-Based Soil Water Balance at an Irrigation Scheme Level in a Semi-Arid Region of Morocco", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>This study aims to evaluate a remote sensing-based approach to allow estimation of the temporal and spatial distribution of crop evapotranspiration (ET) and irrigation water requirements over irrigated areas in semi-arid regions. The method is based on the daily step FAO-56 Soil Water Balance model combined with a time series of basal crop coefficients and the fractional vegetation cover derived from high-resolution satellite Normalized Difference Vegetation Index (NDVI) imagery. The model was first calibrated and validated at plot scale using ET measured by eddy-covariance systems over wheat fields and olive orchards representing the main crops grown in the study area of the Haouz plain (central Morocco). The results showed that the model provided good estimates of ET for wheat and olive trees with a root mean square error (RMSE) of about 0.56 and 0.54 mm/day respectively. The model was then used to compare remotely sensed estimates of irrigation requirements (RS-IWR) and irrigation water supplied (WS) at plot scale over an irrigation district in the Haouz plain through three growing seasons. The comparison indicated a large spatio-temporal variability in irrigation water demands and supplies; the median values of WS and RS-IWR were 130 (175), 117 (175) and 118 (112) mm respectively in the 2002\u20132003, 2005\u20132006 and 2008\u20132009 seasons. This could be attributed to inadequate irrigation supply and/or to farmers\u2019 socio-economic considerations and management practices. The findings demonstrate the potential for irrigation managers to use remote sensing-based models to monitor irrigation water usage for efficient and sustainable use of water resources.</p></article>", "keywords": ["0106 biological sciences", "2. Zero hunger", "FAO-56 soil water balance", "550", "[SDE.MCG]Environmental Sciences/Global Changes", "Science", "water", "Q", "evapotranspiration", "balance", "15. Life on land", "01 natural sciences", "630", "irrigation", "6. Clean water", "[SDE.MCG] Environmental Sciences/Global Changes", "remote sensing", "evapotranspiration; irrigation; water; remote sensing; FAO-56 soil water balance; NDVI time series", "FAO-56 soil water", "NDVI time series"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/6/1133/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/6/1133/pdf"}, {"href": "https://doi.org/10.3390/rs13061133"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs13061133", "name": "item", "description": "10.3390/rs13061133", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13061133"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-16T00:00:00Z"}}, {"id": "10.3390/s21103544", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:22:06Z", "type": "Journal Article", "created": "2021-05-20", "title": "Platinum-Based Interdigitated Micro-Electrode Arrays for Reagent-Free Detection of Copper", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Water is a precious resource that is under threat from a number of pressures, including, for example, release of toxic compounds, that can have damaging effect on ecology and human health. The current methods of water quality monitoring are based on sample collection and analysis at dedicated laboratories. Recently, electrochemical-based methods have attracted a lot of attention for environmental sensing owing to their versatility, sensitivity and their ease of integration with cost effective, smart and portable readout systems. In the present work, we report on the fabrication and characterization of platinum-based interdigitated microband electrodes arrays, and their application for trace detection of copper. Using square wave voltammetry after acidification with mineral acids, a limit of detection of 0.8 \u03bcg/L was achieved. Copper detection was also undertaken on river water samples and compared with standard analytical techniques. The possibility of controlling the pH at the surface of the sensors\u2014thereby avoiding the necessity to add mineral acids\u2014was investigated. By applying potentials to drive the water splitting reaction at one comb of the sensor\u2019s electrode (the protonator), it was possible to lower the pH in the vicinity of the sensing electrode. Detection of standard copper solutions down to 5 \u03bcg/L (ppb) using this technique is reported. This reagent free method of detection opens the way for autonomous, in situ monitoring of pollutants in water bodies.</p></article>", "keywords": ["13. Climate action", "Chemical technology", "electrochemical sensors", "pH control", "TP1-1185", "02 engineering and technology", "heavy metals", "0210 nano-technology", "01 natural sciences", "Article", "6. Clean water", "environmental monitoring", "0104 chemical sciences"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/21/10/3544/pdf"}, {"href": "https://doi.org/10.3390/s21103544"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sensors", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/s21103544", "name": "item", "description": "10.3390/s21103544", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/s21103544"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-19T00:00:00Z"}}, {"id": "10.3390/su17031093", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:22:09Z", "type": "Journal Article", "created": "2025-01-29", "title": "Microbial Bioindicators for Monitoring the Impact of Emerging Contaminants on Soil Health in the European Framework", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Antibiotic resistance (AR) is recognized by the World Health Organization as a major threat to human health, and recent studies highlight the role of microplastics (MPs) in its spread. MPs in the environment may act as vectors for antibiotic-resistant bacteria (ARB) and antibiotic resistance genes (ARGs). Bacterial communities on the plastisphere, the surface of MPs, are influenced by plastic properties, allowing ARB to colonize and form biofilms. These biofilms facilitate the transfer of ARGs within microbial communities. This study analyzed data from the LUCAS soil dataset (885 soil samples across EU countries) using the Emu tool to characterize microbial communities at the genus/species level. Functional annotation via PICRUSt2, supported by a custom tool for Emu output formatting, revealed significant correlations between the genera Solirubrobacter, Bradyrhizobium, Nocardioides, and Bacillus with pathways linked to microplastic degradation and antibiotic resistance. These genera were consistently present in various soil types (woodland, grassland, and cropland), suggesting their potential as bioindicators of soil health in relation to MP pollution. The findings underscore MPs as hotspots for ARB and ARGs, offering new insights into the identification of bioindicators for monitoring soil health and the ecological impacts related to MP contamination.</p></article>", "keywords": ["microplastics; antibiotic resistance genes; soil microbiome; LUCAS soil"], "contacts": [{"organization": "Andrea Visca, Luciana Di Gregorio, Manuela Costanzo, Elisa Clagnan, Lorenzo Nolfi, Roberta Bernini, Alberto Orgiazzi, Arwyn Jones, Francesco Vitali, Stefano Mocali, Annamaria Bevivino,", "roles": ["creator"]}]}, "links": [{"href": "https://air.unimi.it/bitstream/2434/1142151/2/sustainability-17-01093.pdf"}, {"href": "https://www.mdpi.com/2071-1050/17/3/1093/pdf"}, {"href": "https://doi.org/10.3390/su17031093"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/su17031093", "name": "item", "description": "10.3390/su17031093", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su17031093"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-29T00:00:00Z"}}, {"id": "10.3390/w12082160", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:22:10Z", "type": "Journal Article", "created": "2020-08-03", "title": "Soil Moisture Estimation Using Citizen Observatory Data, Microwave Satellite Imagery, and Environmental Covariates", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Soil moisture (SM) is a key variable in the climate system and a key parameter in earth surface processes. This study aimed to test the citizen observatory (CO) data to develop a method to estimate surface SM distribution using Sentinel-1B C-band Synthetic Aperture Radar (SAR) and Landsat 8 data; acquired between January 2019 and June 2019. An agricultural region of Tard in western Hungary was chosen as the study area. In situ soil moisture measurements in the uppermost 10 cm were carried out in 36 test fields simultaneously with SAR data acquisition. The effects of environmental covariates and the backscattering coefficient on SM were analyzed to perform SM estimation procedures. Three approaches were developed and compared for a continuous four-month period, using multiple regression analysis, regression-kriging and cokriging with the digital elevation model (DEM), and Sentinel-1B C-band and Landsat 8 images. CO data were evaluated over the landscape by expert knowledge and found to be representative of the major SM distribution processes but also presenting some indifferent short-range variability that was difficult to explain at this scale. The proposed models were evaluated using statistical metrics: The coefficient of determination (R2) and root mean square error (RMSE). Multiple linear regression provides more realistic spatial patterns over the landscape, even in a data-poor environment. Regression kriging was found to be a potential tool to refine the results, while ordinary cokriging was found to be less effective. The obtained results showed that CO data complemented with Sentinel-1B SAR, Landsat 8, and terrain data has the potential to estimate and map soil moisture content.</p></article>", "keywords": ["13. Climate action", "citizen science", "digital soil mapping", "Sentinel-1", "0401 agriculture", " forestry", " and fisheries", "synthetic aperture radar (SAR)", " soil moisture", "04 agricultural and veterinary sciences", "15. Life on land"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/12/8/2160/pdf"}, {"href": "https://doi.org/10.3390/w12082160"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/w12082160", "name": "item", "description": "10.3390/w12082160", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w12082160"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-30T00:00:00Z"}}, {"id": "10.4081/ija.2012.e26", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:22:19Z", "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": "10.5061/dryad.h3r16", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:22:35Z", "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": "2026-04-13T16:22:37Z", "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": "2026-04-13T16:22:39Z", "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/bg-19-2487-2022", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:22:45Z", "type": "Journal Article", "created": "2022-05-13", "title": "Climatic variation drives loss and restructuring of carbon and nitrogen in boreal forest wildfire", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. The boreal forest landscape covers approximately 10\u2009% of the earth's land area and accounts for almost 30\u2009% of the global annual terrestrial sink of carbon\u00a0(C). Increased emissions due to climate-change-amplified fire frequency, size, and intensity threaten to remove elements such as C and nitrogen\u00a0(N) from forest soil and vegetation at rates faster than they accumulate. This may result in large areas within the region becoming a net source of greenhouse gases, creating a positive feedback loop with a changing climate. Meter-scale estimates of area-normalized fire emissions are limited in Eurasian boreal forests, and knowledge of their relation to climate and ecosystem properties is sparse. This study sampled 50 separate Swedish wildfires, which occurred during an extreme fire season in 2018, providing quantitative estimates of C and N loss due to fire along a climate gradient. Mean annual precipitation had strong positive effects on total fuel, which was the strongest driver for increasing C and N losses. Mean annual temperature\u00a0(MAT) influenced both pre- and postfire organic layer soil bulk density and C\u2009:\u2009N ratio, which had mixed effects on C and N losses. Significant fire-induced loss of C estimated in the 50 plots was comparable to estimates in similar Eurasian forests but approximately a quarter of those found in typically more intense North American boreal wildfires. N loss was insignificant, though a large amount of fire-affected fuel was converted to a low C\u2009:\u2009N surface layer of char in proportion to increased MAT. These results reveal large quantitative differences in C and N losses between global regions and their linkage to the broad range of climate conditions within Fennoscandia. A need exists to better incorporate these factors into models to improve estimates of global emissions of C and N due to fire in future climate scenarios. Additionally, this study demonstrated a linkage between climate and the extent of charring of soil fuel and discusses its potential for altering C and N dynamics in postfire recovery.</p></article>", "keywords": ["QE1-996.5", "Ecology", "Life", "13. Climate action", "QH501-531", "Geology", "15. Life on land", "01 natural sciences", "QH540-549.5", "Climate Science", "Klimatvetenskap", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.5194/bg-19-2487-2022"}, {"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-19-2487-2022", "name": "item", "description": "10.5194/bg-19-2487-2022", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-19-2487-2022"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-13T00:00:00Z"}}, {"id": "10.5281/zenodo.10179987", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:23:02Z", "type": "Dataset", "title": "Organic soil surveys across Flanders", "description": "This dataset contains geospatial data of organic soils in wetlands and valleys across the Flemish region (Belgium). It is a compilation of several surveys, mainly commissioned by Agentschap voor Natuur en Bos (ANB), Vlaamse Milieumaatschappij (VMM) and Natuurpunt to map the presence of shallow organic soil layers for conservation purposes. Organic layer depth was mapped by pushing a (pvc) rod into the organic ground until it hits a resistance or mineral layer, then recording the depth and the geographical position with a handheld gps.\u00a0This method allows a quick and cost-effective survey of large shallow carbon stocks. At several locations additional auger boring sample data and electrical conductivity-probe sample data was included in the dataset.Since the majority of the samples were not analysed on carbon content, soils were defined as 'organic soils'.Dataset maintained by the Research Institute for Nature and Forest/INBO For any inquiries, please contact Tom.dedobbelaer@inbo.be or Cecile.herr@inbo.be. The .csv will be updated as required to correct issues or to add data from additional surveys. Please check for updated versions periodically. Data description  location: inventory location name year: year of survey Sample_ID: Point-ID given during survey, not unique Unique_ID: Unique point-ID created for this dataset EPSG_31370_X: X-coordinaat in EPSG 31370 (Lambert72), rounded to the closest meter EPSG_31370_Y: Y-coordinaat in EPSG 31370 (Lambert72), rounded to the closest meter stratigraphy: stratigraphy of the organic layer (near surface, substrate) organic_layer_notation: indicates if depth is a value or within a range organic_layer_depth: depth of the organic layer, measured from surface level (in cm) sign: certain surveys mention a sign indicating if the actual depth is equal to or bigger then the given depth (e.g. when the measuring rod is too short or damaged during a survey) method: method used to define organic layer depth source: indicates the source of the data, it can be original field data or derived data from a map. comment_soil: field comment given during survey (in Dutch) contractor: contractor of the survey awarding authority: commissioner of the survey", "keywords": ["carbon stock", "Flanders", "peatland", "15. Life on land", "6. Clean water", "organic soil", "wetlands"], "contacts": [{"organization": "De Dobbelaer, Tom, Herr, C\u00e9cile, De Becker, Piet, Van Ballaer, Siege,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10179987"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10179987", "name": "item", "description": "10.5281/zenodo.10179987", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10179987"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-21T00:00:00Z"}}, {"id": "10.5281/zenodo.10404481", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:23:04Z", "type": "Report", "title": "D.4.1 \u2013 Coaching and Capacity  Building Report, Round #1", "description": "This deliverable reports on the work related to tasks 4.1 and 4.2, carried out by consortium partners from Department of Agroecology at Aarhus University and ENoLL (European Network of Living Labs), respectively. These partners provide applicants with tools and coaching (T4.1), to ease the application process and guide them through consortium building and to design sustainable and well-thought soil health improving living labs. To provide possible applicants from all over Europe with valuable advice, NATI00NS has found mentors in 18 European\u00a0countries, who can be consulted by possible applicants.  This deliverable is written to report on the implementation and execution of tasks 4.1,\u00a0Coaching Sessions, and 4.2, Capacity Building. The tasks feed into NATI00NS\u2019 main objective,\u00a0that is enhancing the possibilities of more viable and well-planned soil health improving living\u00a0lab applications under the Mission auspices, which hopefully will lead to the establishment of\u00a0well-functioning living labs in the near future. The deliverable will provide both the public and\u00a0the funding body, with knowledge on NATI00NS\u2019 initial progress and results.  In short, the function of T4.1 has been to identify candidate Soil Health Living Lab Mentors in\u00a0all EU member states and associated countries, followed up by a process aligning the\u00a0candidates' perceptions on the meaning of a living lab and understanding the topic description\u00a0in dept by participating in on-line training sessions. This concluded in mentor candidates\u00a0signing the Non-Disclosure Agreement (NDA) agreements to officially become mentors and\u00a0thereby be mandated to coach possible living lab applicants within the NATI00NS framework.  Alongside the coaching of mentors, NATI00NS\u2019 has carried out capacity building, prepared and\u00a0implemented by ENoLL, the European Network of Living Labs, a NATI00NS consortium partner,\u00a0that leads online support to bolster up stakeholders around the Soil Mission (hereafter only\u00a0described as the Mission) and broaden their understanding of what a LL is. ENoLL have for this\u00a0purpose, produced e-learning materials, including factsheets and webinars. The Capacity\u00a0Building in combination with Coaching Session activities, provide information and training,\u00a0that enhance the chances of well-conceived and relevant Soil Health Living Labs being created,\u00a0by making sure living lab applicants are not only trained well by mentors with knowledge on\u00a0living lab concepts; participants will also have capacity building material available to them in\u00a0order to design and create a strong Living Lab consortium. The materials include manuals\u00a0which they can use to design a living lab. The capacity building provided by NATI00NS does, in\u00a0general, provide applicants with hands-on capacities, whether it be factsheets or webinars on\u00a0specific living lab related questions.In supporting the applicants at national level identifying It has been important to associate\u00a0skilled mentors has been of the essence. Therefore, the NATI00NS consortium has mapped\u00a0stakeholders across EU Member States and Associated Countries during most of its first\u00a0\u2018introduction and pilot\u2019 phase, to get in contact with gatekeepers in each country.  In most countries, the National Contact Point (NCP) structure, and its responsible officers\u00a0appointed either for the Mission or the Food, Bioeconomy, Natural Resources, Agriculture and\u00a0Environment area, were primary contact points, since it is already an integrated part of their\u00a0job description, to support the Soil Health Mission calls. Consequently, many NCPs have taken\u00a0on the role of mentors themselves while others have tried assisting NATIOONS in finding\u00a0suitable mentor candidates, interested in acting as mentors within the NATI00NS framework.  NCPs are national structures associated to the framework programme. NCPs give personalised support on the spot and in applicants' own languages.  After reaching out to possible mentors, AU AGRO has continuously answered questions about\u00a0the scope of the mentoring work \u2013 such as the mentors\u2019 expected workload, responsibilities,\u00a0and for how long they are expected to commit to mentoring duties. In parallel, NATIOONS has\u00a0planned and implemented two training of trainers webinars that offered training to candidate\u00a0mentors, so they all could be aligned in terms of living lab concepts, practical circumstances\u00a0regarding the application process and confidentiality measures, after which they were able to\u00a0take an informed decision about becoming NATI00NS Mentors or not.All webinar participants, whether they joined for reasons of curiosity or already knew they\u00a0would commit to mentoring, were then briefed on, how it is necessary for them to read and\u00a0sign NDA-documents to officially become NATI00NS appointed Soil Health Living Lab mentors,\u00a0and thus appear on the NATIOONS website with name and contact details. NATIOONS have\u00a0since then continuously collected signed NDA documents and updated the website\u00a0accordingly, thereby expanding the number of mentors available to possible applicants.To carry out the work related to recruiting soil health living lab mentors and training them in\u00a0living lab-affiliated concepts, a number of Aarhus University\u2019s soil and farming systems\u00a0scientists and research support advisers, planned a training programme for mentors.  They have also been responsible for all communication and mapping of possible mentors, organising of the training of trainers event (I.e., training the mentors that will eventually offer\u00a0training to living lab applicants) webinars and gathering and handling Non-disclosure\u00a0Agreement (NDA) documents and FAQ by mentors and applicants. Content for webinars on\u00a0soil health and living labs, have been created and presented by the NATI00NS partners who\u00a0also produced the slides for the National Engagement Events \u2013 another NATIOONS activity\u00a0belonging to another work package, which will be described in its own deliverable.  Additionally, a senior officer from the Aarhus University\u2019s Research Support Office, with great\u00a0experience in providing support for framework programme applicants, provided webinar\u00a0attendants with important guidance on application practices.  The Capacity Building (CB) efforts plays a pivotal role in the NATI00NS project, to ensure the\u00a0success of the Mission. Its main objective is to guarantee the submission of high-quality\u00a0applications for the first two sets of topics aimed at establishing Living Labs (LLs) in 2023 and\u00a02024. These efforts are led by the European Network of Living Labs (ENoLL) as part of Work\u00a0Package 4, 'Supporting Proposal Applicants.'\u00a0NATI00NS\u2019 Capacity Building brings together a comprehensive range of essential training and\u00a0guidance activities tailored specifically for applicants interested in the LL topics related to the\u00a0Mission. At its core, Capacity Building provides online support materials for stakeholders\u00a0involved in the Mission. These materials include a series of e-learning resources, such as\u00a0Factsheets and recorded webinars, offering information about the criteria governing Soil\u00a0Health LLs and the objectives of the Missions within the context of various land use types. Thisinitiative sets the stage for prospective LL applicants in the future.", "keywords": ["2. Zero hunger", "9. Industry and infrastructure", "15. Life on land", "16. Peace & justice"], "contacts": [{"organization": "Krabbe, Kasper, Couture, Isabelle, Cavallo, Dolinda,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10404481"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10404481", "name": "item", "description": "10.5281/zenodo.10404481", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10404481"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-19T00:00:00Z"}}, {"id": "10.5281/zenodo.10959077", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:23:18Z", "type": "Dataset", "created": "2023-10-30", "title": "Knowledge gaps on trade-offs of soil carbon sequestration related to soil management strategies", "description": "The database contains 87 unique literature items (29 reviews, 42 meta-analyses, 16 original papers) describing the effect of a soil management strategy (tillage management, cropping systems, water management, cover crops, crop residues, livestock manure, slurry, compost, biochar, liming) on the trade-offs between soil carbon sequestration or SOC change and N2O emission, CH4 emission and nitrogen leaching. Since some literature items describe effects of several SMS categories, the database_summary tab comprises a total of 112 unique inputs. For each input it is indicated in the Database_summary tab if it was used as input for the 'Soil management effect assessment' in Maenhout et al. (2024) [Maenhout, P., Di Bene, C., Cayuela, M. L., Diaz-Pines, E., Govednik, A., Keuper, F., Mavsar, S., Mihelic, R., O'Toole, A., Schwarzmann, A., Suhadolc, M., Syp, A., & Valkama, E. (2024). Trade-offs and synergies of soil carbon sequestration: Addressing knowledge gaps related to soil management strategies. European Journal of Soil Science, 75(3), e13515. https://doi.org/10.1111/ejss.13515] and/or to define knowledge gaps ('Knowledge gap in tab'-column). Knowledge gaps and research recommendations are gouped per soil management strategy in different tabs in this database. Per soil management strategy, knowledge gaps are clustered per theme in groups. These themes include: the specific soil management strategy, pedoclimatic conditions, establishment of experiments, other soil management strategies, meta-analysis, modelling and other", "keywords": ["Water management", "EJP SOIL", "Climate change mitigation", "Nitrogen leaching", "CH4", "Conservation agriculture", "Cropping systems", "SOMMIT", "N2O", "Organic matter inputs", "Tillage"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10959077"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10959077", "name": "item", "description": "10.5281/zenodo.10959077", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10959077"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-13T00:00:00Z"}}, {"id": "10.5281/zenodo.13952097", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:23:33Z", "type": "Dataset", "created": "2024-01-01", "title": "SERENA EJPSoil Soil erosion control in Tuscany (Italy)", "description": "Open AccessThe internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.  One of the\u00a0objective of SERENA project was to develop methods to calculate and map soil-based ecosystem services and soil threats. The present data was prepared according to the methodology of the SERENA Soil erosion and soil erosion control cookbook.\u00a0 Soil loss was used as an indicator for soil erosion (ST). The map of soil mass not eroded was based on the RUSLE model. Soil erosion control was calculated as the difference between potential and actual soil erosion (SES, ecosystem service of soil erosion protection, i.e. soil eroded mass retained by vegetation, Mg/ha/y). For Italy, the cookbook was applied in the Tuscany region. \u00a0     To create the soil loss map we used:\u00a0       for R-factor, not freely available database of meteorological parameters spatialized at 250 m (minimum and maximum daily air temperature; cumulate daily precipitation) over Tuscany region (period 1990\u20132022, Lamma Consortium)\u00a0 and a local linear equation between R and mean annual precipitation (P);   for C -factor, Regional Land use map 1:10.000 (2018, freely available at:\u00a0https://www502.regione.toscana.it/geoscopio/usocoperturasuolo.html) and ESDAC method (https://doi.org/10.1016/j.landusepol.2015.05.021) ; \u00a0  for K-factor, sand, silt, clay, and O.C. (%) maps (built from 4.000 soil profiles, following FAO\u2019s methodology in GSP-GSOC map, Lamma Consortium), and Torri et al. (1997) function;   for LS-factor, DEM 10 m of Tuscany, (freely available at\u00a0https://www502.regione.toscana.it/geoscopio/cartoteca.html99) and Desmet & Govers (1996) SAGA tool (applied at 10 m and upscaled);   for P-factor, not freely available database 1:10.00 of terraced areas (Lamma Consortium, 2020) (for terraced areas a multiplication factor of\u00a0 0.5\u00a0 was considered, based on expert evaluation)   for P-factor, not freely available database 1:10.00 of terraced areas (Lamma Consortium, 2020) (for terraced areas a multiplication factor\u00a0of\u00a0 0.5\u00a0 was considered, based on expert evaluation)\u00a0      Maps was delivered in the GeoTIFF format in the resolution of 100m. \u00a0     Delivered data will be validated by stakeholders from Italy (scientist) in October, 2024.", "keywords": ["Italy", "Tuscany", "SERENA project", "Soil-based ecosystem service", "RUSLE", "soil erosion control", "Grant n. 862695", "EJP-Soil"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13952097"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13952097", "name": "item", "description": "10.5281/zenodo.13952097", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13952097"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-18T00:00:00Z"}}, {"id": "10.5281/zenodo.11071095", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:23:19Z", "type": "Report", "title": "D4.2. Plan for exploitation and dissemination of the project results", "description": "This document is a deliverable of the Co-UDlabs project, funded under the European Union\u2019s Horizon 2020 research and innovation programme under grant agreement No 101008626.   The aim of this document is to provide the first version of the Plan for Dissemination and Exploitation of Results (PEDR), produced at M6 as part of the Work Package 4 on communication, dissemination and exploitation of results.   The aim of the PEDR is to provide the Co-UDlabs partners with guidelines on the different communication and dissemination activities that are planned and their schedule, who are the partners responsible for each activity and what tools and channels are available for dissemination. A section on exploitation will define the actions planned to achieve the exploitation of the results and impact of the project.   More specifically, in terms of dissemination and communication the PEDR will:         \u00a0Propose a communication and dissemination policy, and define the objectives of the actions;        \u00a0Identify the target audience for each objective or main result;        \u00a0List the communication and dissemination channels to be used for project promotion;        \u00a0Present a schedule of the communication and dissemination actions throughout the project duration;        \u00a0Define and monitor a series of Key Performance Indicators (KPIs) to assess the success of the implementation (e.g. number of publications, size of the audience reached, number of visits on the website, feedback received from audiences at conferences, etc.) and update the plan according to the evolution of the project.      In terms of the exploitation of the results, the PEDR will contain the following information, if applicable and when relevant, especially within the final exploitation plan to be submitted at the end of the project:      The identification of exploitable main outputs of the project;   The identification of the factors influencing exploitation and wide deployment of the project\u2019s results   The identification of new and existing measures for the project sustainability.    The document is drafted by Euronovia, which is leader of this Work Package, with inputs from all partners.   While Euronovia is the leading partner in charge of WP4, all partners have the responsibility to participate in the communication activities and dissemination of the results of the project. According to the grant agreement and unless it goes against their legitimate interests, each beneficiary must, as soon as possible, disseminate its results by disclosing them to the public by appropriate means (other than those resulting from protecting or exploiting the results), including in scientific publications.   The PEDR is an evolving document which will be updated at the end of each reporting period (October 2022, April 2024 and April 2025).", "keywords": ["Research Infrastructure", "Co-UDlabs", "Urban Drainage Systems", "12. Responsible consumption"], "contacts": [{"organization": "De Nale, Laura, Guilloteau, Lucie, Anta, Jose,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.11071095"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.11071095", "name": "item", "description": "10.5281/zenodo.11071095", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.11071095"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-26T00:00:00Z"}}, {"id": "10.5281/zenodo.13986640", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:23:35Z", "type": "Dataset", "title": "Map of soil organic carbon loss of mineral soils in Estonia", "description": "Open AccessThe internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.  The map was generated to evaluate soil organic carbon (SOC) loss in Estonian agricultural soils. It is directly related to SERENA project WP3, T3.2, D3.3 with the aim of applying cookbooks to assess soil threats or ecosystem services. This map is the outcome of applying a cookbook developed by ISRIC (Genova, G., Poggio, L., Kempen, B., & Colman, B. DSM Workflow Seedling. ISRIC - World Soil Information. https://doi.org/10.17027/ISRIC-FSX2-2691).  The generated map of SOC loss expressed as absolute sequestration rate (t C ha-1 a-1) between 2015 and 2021 is in GEOTIFF format at the resolution of 100m. The input data for the cookbook was from the PANDA database, which contains regular soil monitoring and voluntary soil sampling data by farmers in Estonia. To achieve the aim for accounting SOC loss in agricultural soils temporal pairs were selected resulting in 1037 paired points where the interval between second sampling was more than 5 years. SOC stocks were calculated for the depth of 20 cm using the equation by Adams (1973) to calculate soil bulk density. The calculated SOC stock for time0 and time2 (> 5 years resampled locations) were used as input points for digital soil mapping, that is the ISRIC cookbook.", "keywords": ["Estonia", "Task3.2", "ESTONIA", "EJPSOIL", "WP3", "SERENA project", "D3.3", "SOC loss", "Grant n 862695", "DSM Workflow Seedling"], "contacts": [{"organization": "Putku, Elsa", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13986640"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13986640", "name": "item", "description": "10.5281/zenodo.13986640", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13986640"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-24T00:00:00Z"}}, {"id": "10.5281/zenodo.14000512", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:23:36Z", "type": "Dataset", "title": "EJPSOIL_SERENA: Impacts of Climate Change Scenarios on Net Ecosystem Productivity in Peipsi\u00e4\u00e4re Municipality, Estonia", "description": "The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales. \u00a0 \u00a0 \u00a0 \u00a0  The study evaluated Net Ecosystem Productivity (NEP), a key indicator of carbon dynamics and ecosystem health that captures the balance between gross primary productivity and total ecosystem respiration under the RCP4.5 and RCP8.5 climate change scenarios. The scenarios incorporate NEP calculations from the SERENA project\u2019s GHG Cookbook, which integrates MODIS (Moderate Resolution Imaging Spectroradiometer) terrestrial primary productivity data with spatially explicit climate variables, such as average temperatures (derived from minimum and maximum daily temperatures) and soil volumetric moisture content. The baseline NEP layer for this analysis was derived from the GHG Cookbook\u2019s 8-day NEP calculation for April 24 to May 1, 2014. This study specifically mapped NEP values in wheat fields within Peipsi\u00e4\u00e4re municipality, Estonia, under the RCP4.5 scenario for the future periods 2041\u20132070 and 2071\u20132100. The findings provide initial insights into NEP scenario modeling related to climate change, indicating that more advanced analyses would be advantageous for refining the methodology. Furthermore, incorporating Estonia\u2019s specific pedoclimatic conditions and considering the dynamics of terrestrial primary productivity within the datasets would greatly improve the accuracy of projections.  This dataset includes an 8-day NEP layer for wheat fields in Peipsi\u00e4\u00e4re municipality, Estonia, under the RCP4.5 climate pathway for the periods 2041\u20132070 and 2071\u20132100. The files, named SERENA_EJPSOIL_EE_CC_scenario_NEP_RCP4.5_2041-2070.gpkg and SERENA_EJPSOIL_EE_CC_scenario_NEP_RCP4.5_2071-2100.gpkg, are formatted as GeoPackages (GPKG).", "keywords": ["SERENA EJPSOIL; D3.4; WP3; Task 3.3; Estonia; Net Ecosystem Productivity; NEP; GHG; Scenarios; RCP"], "contacts": [{"organization": "Kukk, Liia, Astover, Alar,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14000512"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14000512", "name": "item", "description": "10.5281/zenodo.14000512", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14000512"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-28T00:00:00Z"}}, {"id": "10.5281/zenodo.13993045", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:23:36Z", "type": "Dataset", "title": "SERENA EJPSOIL BE Flanders SOCLOSS SOC 0-20cm cookbook", "description": "Open AccessThe internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant\u00a0stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at\u00a0the regional, national, and European scales.  This SERENA dataset (100 m resolution) of soil orgnanic carbon concentration (0-20 cm soil layer) for Flanders was mainly produced to test the methodology of the SERENA SOC LOSS cookbook of the European SERENA EJP SOIL project. The data was prepared according to the methodology of SERENA SOC LOSS cookbook. The objective of SERENA project was to develop methods to calculate and map soil-based ecosystem services and soil threats. Soil organic carbon concentration was used as an indicator for soil organic carbon loss (ST). The map was based on digital soil mapping according to the method used in the EJP SOIL project WP6: Digital soil mapping approach with random forest using ISRIC workflow seedling. To create the soil organic carbon concentration map, we used soil organic carbon data of the regional soil organic carbon monitoring network Cmon in Flanders (0-10 and 10-30 cm soil layer) from the period 2021-2024. The soil organic carbon concentration of the 0-20 cm was derived from the 0-10 and 10-30 cm Cmon data. The following auxiliary data was used: Digitale bodemkaart van het Vlaams Gewest: bodemtypes; Regional climate data; Landgebruik - Vlaanderen - toestand 2022; Tertiair geologische kaart (1/50.000); Bodembedekkingskaart (BBK), 1m resolutie, opname 2021; WRB Soil Units 40k: Bodemkaart van het Vlaamse Gewest volgens het internationale bodemclassificatiesysteem World Reference Base op schaal 1:40.000; Digitaal Hoogtemodel Vlaanderen II, DSM, raster, 1 m. The dataset will be mostly useful as a reference result for actors that want to learn to implement the part of the soil organic carbon loss cookbook of SERENA dealing with the creation of a SOC concentration map. It can have limited use as an interim SOC concentration map for Flanders until a better map becomes available using an optimised methodology and/or new data from the regional soil organic carbon monitoring network that was not yet available when this map was created.  This dataset is originally hosted at DOV (https://www.dov.vlaanderen.be/), for the most up to date version of the dataset access the data from the DOV repository through the DOV services. The original metdata is accesible through the DOV metadata catalog: SERENA EJPSOIL BE Flanders SOC 0-20cm cookbook.  The DOV services:    WMS ( OGC:WMS-1.3.0-http-get-map )\u00a0  WCS ( OGC:WCS )", "keywords": ["Soil organic carbon concentration", "Belgium", "D3.3/ WP3/ Task 3.2", "EJPSOIL", "SERENA project", "Flanders", "SOC", "SOCLOSS", "Grant n 862695", "Digital Soil Mapping"], "contacts": [{"organization": "Oorts, Katrien, Josipovic, Davor, Luts, Dries, Salomez, Joost,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13993045"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13993045", "name": "item", "description": "10.5281/zenodo.13993045", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13993045"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-24T00:00:00Z"}}, {"id": "10.5281/zenodo.14027088", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:23:38Z", "type": "Dataset", "created": "2024-11-01", "title": "Per- and Polyfluoroalkyl Substances (PFAS) Concentrations in the Upper Danube Catchment: Integrated Dataset from H2020 Project PROMISCES - Case Study 2", "description": "Dataset Description  This dataset was produced within the framework of\u00a0Horizon 2020 Framework Programme, Project PROMISCES (Preventing Recalcitrant Organic Mobile Industrial chemicalS for Circular Economy in the Soil-sediment-water system). Project website: https://promisces.eu/  The dataset contains information on the environmental concentrations of Per- and Polyfluoroalkyl substances (PFASs) collected as part of the PROMISCES project's Case Study #2,\u00a0Subtask 2.2.4 \u2013 Large catchment scale monitoring in different environmental compartments. It also includes data gathered from various external sources.  Abstract  PFASs are a group of synthetic chemicals widely used in various household and industrial applications (Gl\u00fcge et al., 2020). Due to their high chemical stability, PFASs are resistant to natural degradation processes, leading to their accumulation in different environmental matrices and ultimately posing potential health risks to humans (Sunderland et al., 2019). PROMISCES CS#2 focused on understading the fate and transport of PFASs in the upper Danube catchment, covering the Danube from its source to the city of Budapest. Over approximately 1.5 years, a comprehensive monitoring campaign was conducted in this study area, across multiple environmental compartments:\u00a0    Atmopsheric Deposition:\u00a0  River water: including Danube mainstream and its tributaries.  Groundwater: including bank-filtered water from the Danube, and groundwater directly influenced by the landfills  Landfill leachate  Surface Runoff  Wastewater: Influent and effluent from municipal waterwater treatment plants (WWTPs) and direct industrial dischargers   Particularly, the case study placed a special focus on the Danube and its bank filtration sites at two major cities in the Upper Danube, Vienna and Budapest.  The dataset primarily consists results from targeted analysis of 32 individual PFAS substances. In addition, available data for these 32 PFASs in the study area were collected from various online resources or provided directly by project partners. For confidentiality reasons, some external data have been anonymized on names and locations.\u00a0  Partial of this dataset have already contributed to a 2023 publication (Liu et al.), which was based on preliminary data before the completion of the full monitoring campaign and external data collection.  The full dataset was analysed and discussed in the publication Liu et al. (2025): https://www.doi.org/10.1186/s12302-025-01141-6  Technical Details  This dataset includes:    A Zip file containing .accdb Microsoft Access database  A ZIP file containing .csv files structured to match the database   Notice that the .accdb version is out of maintance and removed in version 3.0. The only changes compared to version 2.0 was the substance short-names for two compounds:    substance with CAS number 2355-31-9 updated from \u201cMeFOSAA\u201d to \u201cN-MeFOSAA\u201d  substance with CAS number 2991-50-6 updated from \u201cEtFOSAA\u201d to \u201cN-EtFOSAA   Database structure  One query is created to show most important information:    Concentrations_PFAS: contains all PFAS concentration data.\u00a0   In addition, tables were provided with more infomation on the metadata:    Table1_measurements: concentrations data with units, values, limit of quantifications (LOQs); keys indicating relationships with other tables.  Table2_samplings: sample codes, sampling times (if available), sampling type, sampling techniques; key indicating relationships with Table7_analytical_methods.  Table3_samples: sample names, sample sites, coordinates and coordinate systems (if available).  Table4_compartments: sample matrices/compartments, more detailed sample types.  Table5_compounds: CAS numbers, substance short names, Sus Dat IDs, substance names in NORMAN database, substance group short names and long names.  Table6_datasources: data source names, organisations, countries, references, links.  Table7_analytical_methods: laboratories, preparation methods, analytical methods, analytical method standards.   References  Gl\u00fcge, J., Scheringer M., Cousins I., DeWitt J., Goldenman G., Herzke D., Lohmann R., Ng A., Trier X., Wang Z (2020) An Overview of the Uses of Per- and Polyfluoroalkyl Substances (PFAS). Environmental Science: Processes & Impacts 12. https://doi.org/10.1039/D0EM00291G  Liu, M., Saracevic, E., Kittlaus, S., Oudega, T., Obeid, A., Nagy-Kov\u00e1cs, Z., L\u00e1szl\u00f3, B., Krlovic, N., Saracevic, Z., Lindner, G., Rab, R., Derx, J., Zoboli, O., Zessner, M. (2023) PFAS-Belastungen im Einzugsgebiet der oberen Donau. \u00d6sterr Wasser- und Abfallw 75, 503\u2013514 . https://doi.org/10.1007/s00506-023-00973-x\u00a0  Sunderland, Elsie M., Xindi C. Hu, Clifton Dassuncao, Andrea K. Tokranov, Charlotte C. Wagner, and Joseph G. Allen. (2019) A Review of the Pathways of Human Exposure to Poly- and Perfluoroalkyl Substances (PFASs) and Present Understanding of Health Effects. Journal of Exposure Science & Environmental Epidemiology 29, no. 2 : 131\u201347. https://doi.org/10.1038/s41370-018-0094-1", "keywords": ["Water management", "Environmental sciences", "water pollution", "emerging pollutants", "PFAS", "hazardous substances", "Danube", "water quality", "Pollution", "environmental monitoring"], "contacts": [{"organization": "Liu, Meiqi", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14027088"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14027088", "name": "item", "description": "10.5281/zenodo.14027088", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14027088"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14044657", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:23:39Z", "type": "Dataset", "title": "SERENA EJPSOIL BE Flanders soil sealing cookbook", "description": "Open AccessThe internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national and European scales.The data was prepared according to the Level 2 methodology of the SERENA soil sealing cookbook. For Belgium, the application was carried out at the regional scale for the Flanders region. \u00a0The automatically generated yearly soil sealing maps (1 m resolution GeoTIFF rasters)\u00a0combine \u201cknown\u201d sealing from administrative databases (buildings and transport infrastructure) with modelled sealing based on artificial intelligence. Administrative databases do not (adequately) cover parking lots, private driveways and garden terraces, which are a substantial part of the sealed area in Flanders. Hence, a machine learning model was built for deriving this remaining sealing from aerial imagery. For this purpose, an assessor manually labeled the sealed parts on a subset of the images. Based on this training set, a convolutional neural network model was used to produce a sealing probability map, which was converted to a binary modelled sealing map. Finally, a continuity correction was applied to ensure a temporally consistent result across the yearly maps. \u00a0The objective of the SERENA project was to develop methods to calculate and map soil-based ecosystem services and soil threats. The selected indicator was the degree of soil sealing. By evaluating this degree at two moments in time, the change in soil sealing can be determined. \u00a0\u00a0The following data were used:\u00a0         Large-scale Reference Database (Grootschalig Referentiebestand or Basiskaart), the digital topographic reference map for Flanders (vector)\u00a0           Medium-scale annual winter aerial images of Flanders (15 or 25 cm raster resolution)    This dataset is originally hosted at Geopunt (www.geopunt.be). For the most up-to-date version of the dataset, please access the data from the Geopunt repository.", "keywords": ["soil sealing", "remote sensing", "BELGIUM (FLANDERS)", "aerial images", "SERENA", "EJP-Soil", "photointerpretation"], "contacts": [{"organization": "Cockx, Kasper, Oorts, Katrien,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14044657"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14044657", "name": "item", "description": "10.5281/zenodo.14044657", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14044657"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-30T00:00:00Z"}}, {"id": "10.5281/zenodo.14185189", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:23:43Z", "type": "Dataset", "title": "Dataset: experiments on volatile organic compounds uptake by the active layer soils of Greenlandic permafrost areas", "description": "This dataset is associated with a publication currently under peer review (DOI and link to the publication will be updated upon its publication).  Permafrost serves as a significant carbon reservoir, storing up to 1700 petagrams of carbon accumulated over millennia. As global warming accelerates permafrost thaw, this carbon can be mobilized, with a fraction being transformed into volatile organic compounds (VOCs). These VOCs can influence atmospheric oxidizing capacity and contribute to the formation of secondary organic aerosols.  In this study, active layer soils\u2014the seasonally unfrozen layer above the permafrost\u2014were collected from two contrasting Greenlandic permafrost locations (Disko Island, and Kangerlussuaq) and incubated to investigate their role in soil-atmosphere VOC exchange. Laboratory incubations were conducted under controlled conditions, where a VOC mixture gas was continuously purged through jars containing the soil samples. Gas concentrations were monitored at the inlet and outlet using a PTR-ToF-MS, allowing for the estimation of VOC uptake rates based on the differences in VOC concentrations.  The results demonstrated that these soils actively function as VOC sinks, despite variations in their physicochemical properties. Soils from upper active layers showed relatively higher uptake capacities, with soil moisture, organic matter, and microbial carbon content identified as key factors influencing uptake rates. Additionally, uptake coefficients for several major VOC species were calculated, providing valuable data for future model development. Correlation analysis and varying uptake coefficients suggest that the sink is likely biotic, with selective preferences for different VOCs.\u00a0The findings indicate that the development of a deeper active layer under climate change could enhance the soil\u2019s sink capacity and mitigate net VOC emissions from permafrost thaw.  Detailed methods and interpretations of the results can be found in the associated publication.", "keywords": ["volatile organic compounds", "Disko Island", "active layer", "sink", "Kangerlussuaq", "permafrost"], "contacts": [{"organization": "Jiao, Yi, Kramsh\u00f8j, Magnus, Davie-Martin, Cleo, Elberling, Bo, Rinnan, Riikka,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14185189"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14185189", "name": "item", "description": "10.5281/zenodo.14185189", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14185189"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-19T00:00:00Z"}}, {"id": "10.5281/zenodo.14224398", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:23:45Z", "type": "Report", "title": "Pre-stakeholder mapping for Lighthouses and Living labs", "description": "This document constitutes the Deliverable D2.1 Pre-stakeholder mapping for LHs and LLs of InBestSoil is the first output of Task 2.1 Analysis and mapping of stakeholders for each LH and LL in the frame of WP2, Stakeholder communities for co-creation, co-innovation, and co-learning. The deliverable collects the main insights and context narratives for the 7 Lighthouses and 2 Living Labs that will act as use cases for the project activities, as well as a preliminary approach to stakeholder groups\u00b4 identification and engagement for each of these sites. The deliverable has been developed in consultation with all consortium partners, LH and LL coordinators, and it will be updated as needed with a final updated deliverable (D2.3) in M18.The objective of InBestSoil is to co-create a framework for investment in conservation and recovery of soil health, by developing an economic valuation system of the ecosystem services delivered by a healthy soil and the impacts of soil interventions, and its incorporation into business models and incentives. This will allow for public and private organisations to provide economic value to their actions over soil health, codesign strategies with local stakeholders, and work collectively to deliver national and EU policy ambitions. InBestSoil will provide data, evidence, tools and models to assess how investment in soil health can contribute to the transition to a long-term resilient and sustainable use of soil, focusing on 7 Lighthouses and 2 Living Labs, which provides a total of 9 study areas across 4 biogeographic regions in Europe (Boreal, Continental, Atlantic, Mediterranean), and different land uses (agriculture, forest, urban, mining), as models for cocreation and co-design (multi-actor approach, responsible research and innovation and open science). InBestSoil is a 48-month project that started in January 2023, and it includes 19 partners from 10 European countries.WP2, Stakeholder communities for co-creation, co-innovation, and co-learning will cover the entire project duration and its main objective is to create and strengthen stakeholder communities along the project LHs and LLs as a central hub for the performance of all other WPs. WP2 is divided in four tasks to achieve the following specific objectives: [1] engage and involve a wide variety of local, regional, national and European stakeholders including companies, public authorities, investors and civil society in investments in soil health; [2] establish short- and long-term collaboration schemes and platforms for the effective co-creation, co-innovation and co-learning process and sustainability of the project by dynamizing LH communities and building LLs around them; and [3] implement participation, co-design and co-creation methodologies to fully integrate key stakeholders knowledge, perceptions and interests in all the project activities and beyond.Assessing the economic value of ecosystem services provided by soil, as well as current initiatives in place for improving soil health, will need a wide variety of experts to determine the most successful factors that look for an equilibrium across all actors from the value chain, including civil society. Likewise, proposing new business models and policy recommendations or incentive frameworks will also benefit from the different perspectives that a diversity of stakeholders can bring to the table. Therefore, WP2 will establish the most appropriate stakeholder groups that influence or are impacted by each LH and LL of the project to enable effective co-creation initiatives in order to share information, upskill, and advance the general knowledge on soil management and investment models in the future.", "keywords": ["stakeholder community", "Stakeholder Participation"], "contacts": [{"organization": "de Allende, Izaskun, Diosdado, Nahikari, Mart\u00ednez, Ana, Catal\u00e1, Mar\u00eda, Mac\u00edas V\u00e1zquez, Felipe, de Rivera Outomuro, Javier, Bogunovic, Igor, Miksza, Katarzyna, Pereira, Paulo, Lazdina, Dagnija, Bardule, Arta, Caciolari, Linda, Menini, Alessio, Carboni, Gianluca, Steffens, Markus,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14224398"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14224398", "name": "item", "description": "10.5281/zenodo.14224398", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14224398"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-26T00:00:00Z"}}, {"id": "10.5281/zenodo.14285685", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:23:47Z", "type": "Dataset", "title": "Soil Health Index and Soil Function maps for Latin America and the Caribbean", "description": "Description:This repository contains 90-meter resolution raster maps generated as part of the study titled \u201cSoil Health in Latin America and the Caribbean\u201d. These datasets provide geospatial information on soil health and its five primary functions across the Latin America and Caribbean (LAC) region. The data aim to support research, policy-making, and land management practices by offering insights into soil health conditions and functionality at a continental scale.  Data Included:      Soil Health Index (SHI):\u00a0      LAC_SHI: Comprehensive index integrating physical, chemical, and biological soil attributes to assess soil health across LAC (Size 3.19 Gb).       Soil Functions (f):      LAC_fi: Storage and regulation of nutrient fluxes and availability (Size 2.12 Gb).     LAC_fii: Regulation of water fluxes, storage, and availability (Size 2.59 Gb).     LAC_fiii: Soil organic carbon sequestration and biodiversity support (Size 1.94 Gb).     LAC_fiv: Physical support for plant growth (Size 2.48 Gb).     LAC_fv: Resistance to erosion and degradation (Size 2.42 Gb).      Format:      Raster maps in GeoTIFF format (*.tif).     Spatial resolution: 90 meters.     Coordinate reference system: EPSG:4326 (WGS 84).     Scale factor: 0.01    Use and applications:      Environmental research and modeling.     Policy development for soil conservation and sustainable land management.     Educational purposes in soil science and geospatial studies.    Visualization and other sources:Additionally, the Soil Health Index (SHI) and soil functions (SF) maps can be visualized via the Earth Engine application at https://geocis.users.earthengine.app/view/lac-soil-health and downloaded from https://geocis.users.earthengine.app/view/lac-soil-health-download. For more information, access it on the GeoCiS website, available at https://esalqgeocis.wixsite.com/english/thematic-products.  Acknowledgments:We thank the S\u00e3o Paulo Research Foundation (FAPESP, process 2014/22262-0; 2021/05129-8), the Center for Carbon Research in Tropical Agriculture (CCARBON/USP, process 2021/10573-4) and the Geotechnologies in Soil Science research group (GeoCiS, https://esalqgeocis.wixsite.com/english) for supporting this work.", "keywords": ["Soil sciences", "Machine learning", "Geotechnology", "Remote sensing", "Soil quality", "Environmental Policy"], "contacts": [{"organization": "Poppiel, Ra\u00fal Roberto, Cherubin, Maur\u00edcio Roberto, Novais, Jean Jesus Macedo, Dematte, Jose A. M.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14285685"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14285685", "name": "item", "description": "10.5281/zenodo.14285685", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14285685"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-12-22T00:00:00Z"}}, {"id": "10.5281/zenodo.14761001", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:23:53Z", "type": "Software", "title": "PyretoClustR (executable version)", "description": "PyretoClustR (executable version)  Distilling the Pareto Optimal Front into Actionable Insights  ##Highlights:    Open-access tool to cluster and visualize complex multi-dimensional Pareto solutions  Bridging the gap between decision and objective space through intuitive visualizations  Implements k-means and k-medoids clustering without expert knowledge  Uses frequency maps to display hotspot locations for spatial optimization problems  Increasing stakeholder accessibility to Pareto solutions   Program languages: Python, RSoftware availability (source code version): https://github.com/SydneyEWhite/Pareto_ClusteringSoftware availability (executable version, with python and libraries implemented): Zenodo (10.5281/zenodo.14761001)  ## Overview    This framework performs k-means and k-medoids clustering on a set of Pareto optimal solutions derived from a multi-objective optimization algorithm.  (Optional) A correlation matrix of the input variables is returned (the goal is to help users reduce the input variable count).  Before clustering occurs, the data is cast onto principal component axes and extreme solutions are handled (if desired).  The code iterates through different possible inputs for the number of clusters, the number of principal components, and the variables that define 'extreme solutions'.  After these iterations, the best solution, as defined by silhouette score, is visualized in several ways:    Representative solutions are plotted on up to 4 dimensions  Distributions of values within the clusters are plotted in a violin plot  (optional) Maps with the frequency of a trait can be plotted, if locational data (*.shp file) is provided     ## Background: executable version  Unlike the version of PyretoClustR available on GitHub (https://github.com/SydneyEWhite/PyretoClustR), this version on Zenodo represents a standalone version of PyretoClustR not requiring a Python installation. The python_files folder contains three executables and one folder called _internal. The executables can be run by clicking on them. The _internal folder is crucial for the standalone operation of the executables and should not be modified or deleted.  ## Example Data  The data provided in the input folder (pareto_and_scen_solutions.csv and the shapefiles) are part of the BiodivERsA project TALE (\u2018Towards multifunctional agricultural landscapes in Europe\u2019). This project optimized four objectives, Agricultural gross margin (AY), Breeding habitat (BH), Low flow (LF), Nitrate load (NL) and four different land use scenarios (SQ, BAU, EXT, INT) were distinguished in the decision space.\u00a0The config.ini has been adapted to run with this dataset. To run it with your own data please alter the respective input values as outlined in config.ini.  ## Directory Structure  project_root/||\u2500\u2500 README.md||\u2500\u2500 input/|\u00a0 |\u2500\u2500 config.ini|\u00a0 |\u2500\u2500 [your_input_data].csv| \u2514\u2500\u2500 [shape_files]||\u2500\u2500 python_files/|\u00a0 |\u2500\u2500 _internal|\u00a0 |\u2500\u2500 correlation_matrix.exe|\u00a0 |\u2500\u2500 kmeans.exe| \u2514\u2500\u2500 kmedoid.exe||\u2500\u2500 r_files/| \u2514\u2500\u2500 plot_frequency_maps.R|\u2514\u2500\u2500 output/ (populated once code is run)\u00a0\u00a0 |\u2500\u2500 correlation_matrix.csv (if run)\u00a0\u00a0 |\u2500\u2500 kmeans_data_w_clusters_representativesolutions.csv (created with kmeans.exe when Extreme Solutions are not handled)\u00a0\u00a0\u00a0 |\u2500\u2500 kmeans_data_w_clusters_representativesolutions_outliers.csv (created with kmeans.exe when Extreme Solutions are handled)\u00a0\u00a0 |\u2500\u2500 kmedoid_data_w_clusters_representativesolutions.csv (created with kmedoid.exe when Extreme Solutions are not handled)\u00a0\u00a0 |\u2500\u2500 kmedoid_data_w_clusters_representativesolutions_outliers.csv (created with kmedoid.exe when Extreme Solutions are handled)\u00a0 \u2514\u2500\u2500 freq_map_cluster_X.png (if run)", "keywords": ["Multi-objective optimization", "Pareto pruning", "Land management", "Pareto optimal data", "visualization", "clustering"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14761001"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14761001", "name": "item", "description": "10.5281/zenodo.14761001", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14761001"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-29T00:00:00Z"}}, {"id": "10.5281/zenodo.14936177", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:23:59Z", "type": "Dataset", "title": "Precision Liming Soil Datasets (LimeSoDa) Zenodo Repository", "description": "Overview  Precision Liming Soil Datasets (LimeSoDa) is a collection of 31 datasets from a field- and farm-scale soil mapping context. These datasets are 'ready-to-use' for modeling purposes, as they include target soil properties and features in a tidy tabular format. Three target soil properties are present in every dataset: (1) soil organic matter (SOM) or soil organic carbon (SOC), (2) pH, and (3) clay content, while the features for modeling are dataset-specific. The primary goal of `LimeSoDa` is to enable more reliable benchmarking of machine learning methods in digital soil mapping and pedometrics. All the associated materials and data from LimeSoDa can be downloaded in this data repository. However, for a more in-depth analysis, we refer to the published paper 'LimeSoDa: A Dataset Collection for Benchmarking of Machine Learning Regressors in Digital Soil Mapping' by Schmidinger et al. (2025). You may also use our R\u00a0and Python package likewise called LimeSoDa.  \u00a0  Citation  Upon usage of datasets from LimeSoDa, please cite our associated paper:  Schmidinger, J., Vogel, S., Barkov, V., Pham, A.-D., Gebbers, R., Tavakoli, H., Correa, J., Tavares, T.R., Filippi, P., Jones, E. J., Lukas, V., Boenecke, E., Ruehlmann, J., Schroeter, I., Kramer, E., Paetzold, S., Kodaira, M., Wadoux, A.M.J.-C., Bragazza, L., Metzger, K., Huang, J., Valente, D.S.M., Safanelli, J.L., Bottega, E.L., Dalmolin, R.S.D., Farkas, C., Steiger, A., Horst, T. Z., Ramirez-Lopez, L., Scholten, T., Stumpf, F., Rosso, P., Costa, M.M., Zandonadi, R.S., Wetterlind, J. & Atzmueller, M. (2025). LimeSoDa: A Dataset Collection for Benchmarking of Machine Learning Regressors in Digital Soil Mapping.", "keywords": ["Environmental sciences", "Soil Organic Carbon", "Pedometrics", "pH", "Soil Organic Matter", "Clay", "Remote sensing", "Digital Soil Mapping"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14936177"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14936177", "name": "item", "description": "10.5281/zenodo.14936177", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14936177"}, {"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": "10.5281/zenodo.15096788", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:24:02Z", "type": "Dataset", "title": "HWSD2_Climate_and_Socioeconomic_agriculturalsoil_dataset_mainland_portugal", "description": "The study uses the Harmonized World Soil Database (HWSD v2.0) developed by FAO and IIASA for biophysical models and agroecological queries. This database consolidates information from various sources, including the European Soil Database, the 1:1 million soil map of China, and national soil maps from Afghanistan, Ghana, and T\u00fcrkiye. It has a spatial resolution of around 1 km and is revised in 2013 and 2023. HWSD v2.0 includes detailed information on soil mapping units, general soil unit information, and specific physical and chemical soil unit characteristics across seven depth layers.  The database fields cover a wide range of attributes, such as soil texture, bulk density, organic carbon content, pH, and cation exchange capacity. The harmonization process ensures that data from different sources is standardized and integrated, providing a consistent and reliable dataset for various applications. However, the HWSD v2.0 has some limitations, such as combining soil inventories gathered at different times, scales, and precision, which may affect its reliability for national studies. It is recommended to use national-level harmonized soil databases for more accurate results in specific regions.  For Portugal's mainland, the data presented in the HWSD v2.0 dataset is sourced from the European Soil Data Centre (ESDAC), which contains various metrics of chemical and physical soil properties. Out of the 2882 Portuguese parishes, only 22 are left out, representing 0.76% percent of the total number of parishes.  The study uses several datasets to analyze land use and occupation in Portugal. The Land Use and Occupation Map (COS2007v3.0) is a detailed thematic map of land use and occupation for mainland Portugal, developed by the Directorate-General for Territory (DGT). The data is organized hierarchically and includes 83 classes of land use and occupation. The CHELSA database, maintained by the Swiss Federal Institute for Forest, Snow, and Landscape Research (WSL), provides bioclimatic indexes for precipitation and average temperature over various temporal intervals and variables.  The National Institute of Statistics (INE) provides data on agricultural machinery distribution across different geographical locations. The dataset covers the total number of agricultural machines, as well as specific categories such as wheeled and tracked tractors, motor cultivators, power hoes, motor mowers, and combine harvesters. The dataset also examines the distribution of farms with access to irrigation based on geographical location.  The burned land data from 1975 to 2023 provides a comprehensive overview of fire occurrences and their impact over time. This data is crucial for understanding long-term patterns, assessing the effectiveness of fire prevention measures, and informing future land management and policy decisions.  Lastly, the population density dataset from the 2021 Census and the 2011 Census provides a decennial comparison of total population density across different geographical regions. These data are essential for understanding the evolution of land use and occupation in Portugal and their implications for environmental and agricultural consequences.", "keywords": ["Soil", "Total organic carbon", "Land use", "Soil use", "Atmospheric precipitation", "Soil type", "Organic carbon", "Land surface temperature"], "contacts": [{"organization": "Almeida Santos, R. G. F.", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15096788"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15096788", "name": "item", "description": "10.5281/zenodo.15096788", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15096788"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-03-27T00:00:00Z"}}, {"id": "10.5281/zenodo.15395350", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:24:08Z", "type": "Dataset", "title": "NSW 25-ha Drone Survey Grid", "description": "NSW 25-ha Drone Survey Grid   This repository provides a 25-hectare (500m x 500m) resolution spatial grid for New South Wales.  This grid layer was used to align systematic drone surveys and spatially structure binomial N-mixture models for estimating the abundance of koalas at the landscape-scale. It supports presence/absence and abundance frameworks and is suitable for use in large-scale ecological monitoring programs.  The grid was used in the following study:    Ryan, S.A., Southwell, D.M., Beranek, C.T., Clulow, J., Jordan, N.R., Witt, R.R., 2025.\u00a0Estimating the landscape-scale abundance of an arboreal folivore using thermal imaging drones and binomial N-mixture modellingBiological Conservation. Manuscript ID: 111207. https://doi.org/10.1016/j.biocon.2025.111207   \ud83d\udcd8 Abstract  Estimating the abundance of wildlife populations at a landscape-scale is vital for conservation, but is often hampered by survey costs, data processing and imperfect detection. In this study, we developed a framework that combines a protocol for validating nocturnal thermal drone detections in real-time with N-mixture modelling to estimate the landscape-scale abundance of arboreal folivores. As a case study, we estimated the abundance of koalas (Phascolarctos cinereus) across seven reserves (673 km\u00b2) in New South Wales, Australia. We conducted thermal drone surveys of 208, 25-ha sites stratified across vegetation type and fire history, on average, three times over consecutive nights (range 1\u201312 repeats), between 18:00\u201304:00 h (May to September). All koala detections were validated by field personnel or in real-time with drones equipped with a thermal camera and searchlight. Koalas were detected on 245 occasions. We fitted N-mixture models to validated repeat count data to quantify the effect of site and observation variables on abundance and detectability. Using our top set of competing models, we estimated that 4357 koalas (95 % CI = 2319\u20138307) occupy the seven reserves, with a mean detection probability of 0.22 (95 % CI = 0.15\u20130.31) over all survey occasions. We found detection probability decreased with increases in relative humidity and temperature. Koala abundance was negatively associated with fire severity, elevation, tree height and soil clay content, and positively associated with available water content, forest cover and soil organic carbon. Our framework, which combines real-time field validated drone data while accounting for imperfect detection, improves the accuracy of abundance estimates for arboreal folivores across large-scales.    \ud83d\udcc2 Contents     Grid_Albers_00500m_NSW_Polys.shp and associated filesA shapefile representing 25-ha (500 m \u00d7 500 m) grid cells across New South Wales.     \ud83d\uddfa\ufe0f Spatial Details     CRS: GDA94 / Australian Albers (EPSG:3577)  Geometry Type: Polygon  Cell Size: 500 m \u00d7 500 m (25 hectares)  Total Features: 3,222,693  Attribute Fields: Id (unique cell identifier)  Bounding Box (minx, miny, maxx, maxy):(826250.0, \u20134212250.0, 2082750.0, \u20133181250.0)     \u2705 Intended Applications     Thermal drone survey planning  Spatial alignment of repeatable wildlife monitoring  Koala and arboreal mammal detection  Binomial or Poisson N-mixture model design  Landscape-scale ecological stratification     \u26a0\ufe0f Data Use and Licensing   This grid layer was provided by Allen Mcilwee (NSW Government) and is published with permission as open-access supplementary material to support the following paper:    Ryan, S.A., Southwell, D.M., Beranek, C.T., Clulow, J., Jordan, N.R., Witt, R.R. (2025)Estimating the landscape-scale abundance of an arboreal folivore using thermal imaging drones and binomial N-mixture modellingBiological Conservation. Manuscript ID: 111207. https://doi.org/10.1016/j.biocon.2025.111207   The dataset is made available to support open ecological research and systematic drone survey planning in New South Wales.\u00a0  Users applying this grid for survey or monitoring purposes in NSW are encouraged to submit resulting species detection records to NSW BioNet to contribute to state-wide biodiversity data and conservation efforts.", "keywords": ["spatial grid", "wildlife monitoring", "25-ha grid", "New South Wales", "koala", "spatial layer", "thermal drone survey", "abundance modelling"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15395350"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15395350", "name": "item", "description": "10.5281/zenodo.15395350", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15395350"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-06-04T00:00:00Z"}}, {"id": "10.5281/zenodo.15680931", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:24:16Z", "type": "Journal Article", "created": "2025-06-15", "title": "Investigating the extent of PFAS contamination in the Upper Danube Basin across environmental compartments", "description": "Abstract                        Background             <p>Per- and polyfluoroalkyl substances (PFAS) are emerging organic pollutants widely detected in environmental systems, posing risks to human health and the ecosystem. Despite increasing efforts to monitor PFAS in river systems, knowledge gaps remain regarding sources and emissions via different pathways. This study investigates PFAS contamination across multiple environmental compartments in the Upper Danube Basin, including surface water, groundwater, wastewater, landfill leachate, surface runoff, and atmospheric deposition. The primary objectives are to assess the extent of PFAS contamination, identify key emission sources and transport pathways, and evaluate associated risks in terms of the potential exceedance of current and proposed environmental regulatory thresholds in the European Union.</p>                                   Results             <p>The findings reveal a widespread presence of PFAS, with PFOA, PFOS and short-chain compounds being predominant. The Alz River and Gendorf chemical park emerge as hotspots with far-reaching effects downstream, contributing significantly to diffuse legacy contamination of PFOA and being a significant source of two industrial PFOA substitutes, ADONA and GenX. Wastewater treatment plants, old municipal landfills, and sites with a history of fire-fighting foam application are identified as key pathways or sources of legacy pollution, exhibiting higher concentrations compared to the other matrices. Notably, no significant removal is observed when comparing influent and effluent samples from conventional WWTPs. The study further demonstrates that groundwater is vulnerable to contamination from point sources and to infiltration from rivers, with bank filtration proving largely ineffective in preventing PFAS contamination.</p>                                   Conclusions             <p>The study underscores the necessity for source and pathway control measures to mitigate PFAS pollution, the implementation of advanced treatment technologies to safeguard drinking water and surface water quality, and targeted remediation for legacy soil and groundwater contamination. Additionally, strong use regulations should be explored to minimize ongoing emissions. The multi-compartment monitoring proves to be a crucial approach to understand the complexity of PFAS distribution at the catchment scale. Comparative analysis and risk assessment highlight challenging situations for water management, offering an indispensable basis for emission modeling as a next step for quantitative assessment of the relevance of different sources and pathways for surface water pollution.</p>", "keywords": ["Emerging contaminants", "Emerging Pollutants", "PFAS", "Source identification", "Watershed management", "Environmental sciences", "Emission", "Water Framework Directive", "Environmental law", "Water pollution", "GE1-350", "K3581-3598", "Catchment monitoring", "Environmental Monitoring"]}, "links": [{"href": "https://link.springer.com/content/pdf/10.1186/s12302-025-01141-6.pdf"}, {"href": "https://doi.org/10.5281/zenodo.15680931"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Sciences%20Europe", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15680931", "name": "item", "description": "10.5281/zenodo.15680931", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15680931"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-06-15T00:00:00Z"}}, {"id": "10.5281/zenodo.15772619", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:24:18Z", "type": "Dataset", "title": "Dataset to: Foundation for an Austrian NIR Soil Spectral Library for Soil Health Assessments", "description": "Dataset description  This is the corresponding dataset to the publication 'Foundation for an Austrian NIR Soil Spectral Library for Soil Health Assessments' by Fohrafellner et al. (2025). In this publication, we created the first Near-Infrared (NIR) Austrian Soil Spectral Library (ASSL, 680 \u2013 2500 nm) using 2,129 legacy samples from all environmental zones of Austria. Additionally, we utilized partial least squares regression modeling to evaluate the dataset's current effectiveness for soil health assessments. The dataset contains three tabs, 'Document meta data', 'Legend' and 'Dataset'. Tab 'Document meta data' gives information on the authors, the data collection time frame, terms of use, etc. In 'Legend', each column of the 'Dataset' is described. The 'Dataset' contains information on the legacy soil samples including:\u00a0    meta data (e.g. sample number, sampling year, zip code, environmental zone, land use),   soil properties (soil organic carbon [SOC], SOC to clay ratio, total carbon, labile carbon, CaCO3, total nitrogen, plant available phosphorus, pH measured in CaCl2 and acetate, cation exchange capacity, texture [sand, silt, clay content], and clay content measured by density in suspension), and  measured NIR soil spectra, also for the standards.   Project description  This Austrian Soil Spectral Library was built within the ProbeField project (November 2021 \u2013 January 2025), which was part of the European Joint Program for SOIL \u2018Towards climate-smart sustainable management of agricultural soils\u2019 (EJP SOIL) funded by the European Union Horizon 2020 research and innovation programme (Grant Agreement N\u00b0 862695). The project aimed to create a protocol detailing procedures and methodologies for accurately estimating fertility-related properties in agricultural soils in the field. Additionally, the potential for extending this data to two- and three-dimensional mapping using co-variates was demonstrated. ProbeField further collected field spectra that closely match laboratory spectra, enabling the prediction of soil properties using models calibrated with soil spectral libraries.  References  Fohrafellner, J., Lippl, M., Bajraktarevic, A., Baumgarten, A., Spiegel, H., K\u00f6rner, R. and Sand\u00e9n, T.: Foundation for an Austrian NIR Soil Spectral Library for Soil Health Assessments, 2025, in review.", "keywords": ["EJP SOIL", "ProbeField", "Spectroscopy", " Near-Infrared", "data"], "contacts": [{"organization": "Fohrafellner, Julia", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15772619"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15772619", "name": "item", "description": "10.5281/zenodo.15772619", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15772619"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-07T00:00:00Z"}}, {"id": "10.5281/zenodo.15781488", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:24:19Z", "type": "Report", "title": "Results of stakeholder surveys on preferred NSWRM implementation plans. Deliverable D5.3 of the EU Horizon 2020 project OPTAIN.", "description": "Deliverable report D5.3 of the EU Horizon 2020 Project OPTAIN (Grant agreement No. 862756)    The objective of this deliverable is to convey OPTAIN\u2019s optimisation approach, methodologies and results to stakeholders of each case study\u2019s Multi-Actor Reference Groups. More importantly, it will create a common understanding of the potential of the NSWRMs for improving water and nutrient retention in the CS, as well as of the associated trade-offs such as costs and potential reductions in crop production. Finally, this task will determine those NSWRM implementation plans preferred by individual actors using the tool, ParetoPick-R, developed in the previous task 5.3. This sets the stage for the subsequent in-depth, cross-sectoral discussion about a spatially targeted implementation of NSWRM.    Summary\u00a0  This deliverable from the EU Horizon 2020 OPTAIN project presents the results from stakeholder interviews across eleven European case studies, focusing on the identification of preferred implementation plans for Natural/Small Water Retention Measures (NSWRMs).\u00a0It builds on the modelling and multi-objective optimisation workflows employed in OPTAIN, which explored numerous options for potential measure implementation optimised for environmental and economic objectives.  Stakeholders of each case study\u2019s Multi-Actor Reference Groups (MARG) participated in structured interviews. Using the interactive ParetoPick-R app, they developed a common understanding of the potential of NSWRMs and explored trade-offs among four optimisation objectives, such as water/nutrient retention, crop production, and cost. They then selected their preferred implementation plans based on weights assigned to each objective and filter options applied to the solution space.  Key Findings:    Trade-offs & preferences: Stakeholders' preferences varied significantly across sectors and case studies. Agricultural actors typically prioritised crop production and cost-efficiency, while those in the water and nature conservation sectors leaned towards environmental benefits.  Common measures: Frequently preferred NSWRMs included soil and/or crop management measures, followed by greening measures and engineered solutions.  Feasibility issues: Technical feasibility, land ownership, and institutional hurdles (e.g., need for permits) influenced stakeholder choices.  Tool feedback: The ParetoPick-R tool was generally well-received for visualising trade-offs and supporting decision-making. However, some users found it too complex and suggested improvements in usability, guidance, and map functionality.   This deliverable D5.3 sets the foundation for the final MARG workshops in the case studies, which will seek to negotiate compromise solutions that are acceptable to all actors. The report underscores the importance of participatory modelling tools and multi-sector engagement in water and land management planning.", "keywords": ["multiobjective optimisation", "trade-offs", "NSWRM", "agricultural production", "H2020", "OPTAIN", "SWAT", "NWRM", "stakeholder", "water retention"], "contacts": [{"organization": "Strauch, Michael, Wittekind, Cordula,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15781488"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15781488", "name": "item", "description": "10.5281/zenodo.15781488", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15781488"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-01T00:00:00Z"}}, {"id": "10.5281/zenodo.15797289", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:24:19Z", "type": "Dataset", "title": "Database of soil characteristics under specific pesticide management", "description": "Database of soil characteristics under specific pesticide management  Contributors: Mark\u00e9ta Mayerov\u00e1 and Veronika \u0158ez\u00e1\u010dov\u00e1  Affiliation: Czech Agrifood Research Center, Drnovsk\u00e1 507/73, CZ-160 00 Prague 6, Czech Republic  Database of soil characteristics will contribute to the realization of the project\u00b4s goal to identify appropriate and inappropriate pesticides from the point of the view of their impact on the non-target organisms and soil characteristics.  Field I.  The field experiment was established in 2024 in the experimental area of the Czech Agrifood Research Center in Prague \u2013 Ruzyn\u011b (previously Crop Research Institute). The experiment took place at the site of the experiment that had been running there since 2013 and included 5 different herbicide treatments in 4 replications (Mayerov\u00e1 et al. 2018)  The new trial area was split into 20 randomised plots with 2 different herbicide treatments in 8 replications and control without herbicides in 4 replications. Herbicide treatments differed in the mode of action (Table 1)  Table 1. Summary of the herbicides and active ingredients used in the trial. Classification Group by Herbicide Resistance Action Committee (HRAC).       herbicide     dose    formulation    active ingredient    content of a.i.    HRAC group    target weeds      Agritox 50 SL    1.5 l/ha    EC    MCPA    500 g/l    O    dicot      Glean 75 PX    15 g/ha    WG    chlorsulfuron    750 g/l    B    dicot + annual grasses       \u00a0  The area of each plot was 100 m2 and the 10 by 10 m plots were separated from field boundaries and from each other by 2 m on all sides to eliminate interaction between plots. Herbicides were applied post emergency in spring (April 26, 2024) from the tillering crop stage to the beginning of stem elongation (BBCH 21\u201331) by the Agrio-Napa 12 sprayer. Winter wheat was grown in the experimental field in 2024. At the beginning of March, it was mineral fertilized with LAD (ammonium nitrate with dolomite - NH4NO3\u00a0+\u00a0CaMg (CO3)2; 27 % N) at a dose 100 kg/ha.   Mixed disturbed soil samples for microbiological and physicochemical analyses were taken from the 0-15cm upper soil layer in each replication before herbicide application (April 24, 2024), 14 days after herbicide application (May 9, 2024) and 7 weeks after herbicide application (June 14, 2024). \u00a0A total of 20 soil samples were collected at each sampling. The soil samples were subsequently dried and sieved through a 2 mm sieve, thus simultaneously homogenised. The following soil properties were determined: pH (H2O), electric conductivity, available P and K, concentration NH4 and NO3, soil organic carbon, and total organic nitrogen content. Available P and K were assessed according to the Mehlich III method (Mehlich, 1984) on an Agilant ICP-OES 5110 VDV instrument. NO3 and NH4 were determined using calcium chloride solution as extractant according to ISO 14255:1998 on automated chemistry analyser SKALAR. Soil organic carbon and soil organic matter content were determined by sulfochromic oxidation according to ISO 14235:1998.   Field II  The field experiment was established in 2024 in the experimental area of the Czech Agrifood Research Center in Prague \u2013 Ruzyn\u011b (previously Crop Research Institute). The total area of the experiment is about 11 ha including the protective area around the entire experiment. The experimental area is divided into two halves, 120m wide and 300m long.\u00a0 One half was treated on June 17, 2024, with insecticide Decis forte (active ingredient deltamethrin) at a dose 62.5ml/ha, the other half was without insecticide treatment. Both areas are further divided into other halves. One half was treated on May 15, 2024, with herbicide Agritox (active ingredient MCPA) at a dose 1.5l/ha, the other was treated with hoeing only. We thus obtained 4 strips 60m wide with following treatment combinations: (A) herbicide + insecticide; (B) hoeing + insecticide; (C) hoeing; (D) herbicide. Spring wheat was grown in the experimental field in 2024. It was fertilized with mineral nitrogen at a dose of 150 kg N/ha before sowing and with 39 kg N/ha (DAM 390 - ammonium nitrate with urea) in the tillering phenophase.  In the middle of each strip (i.e. treatment), 8 sampling sites were marked in a row, 20 m apart from each other. Mixed disturbed soil samples for microbiological and physicochemical analyses were taken from the 0-15cm upper soil layer at each sampling site 14 days after herbicide application and 14 days after insecticide application. A total of 32 soil samples were collected at each sampling. Further sample processing was the same as for Field I.  The database will be gradually supplemented in the following years.   Funding: Development for this work is funded primarily by the Technology Agency of the Czech Republic, project SS07020100: \u201cThe impact of plant protection products on non-target biodiversity: soil microorganisms, invertebrates and wild plants\u201d, and the Ministry of Agriculture of the Czech Republic, institutional support MZE-RO0425.  The database was approved on September 2, 2025, by the Ministry of Agriculture of the Czech Republic.  References:  Mayerov\u00e1 M., Mikulka J., Soukup J. (2018): Effects of selective herbicide treatment on weed community in cereal crop rotation. Plant Soil Environ., 64: 413\u2013420. https://doi.org/10.17221/289/2018-PSE  \u00a0Mehlich A. (1984): Mehlich 3 Soil Test Extractant. A Modification of the Mehlich 2 Extractant. Commun. Soil Sci. Plant Anal. 15, 1409-1416. http://dx.doi.org/10.1080/00103628409367568.", "keywords": ["field trial", " herbicides", " insecticides", " soil properties"], "contacts": [{"organization": "Mayerov\u00e1, Mark\u00e9ta, \u0158ez\u00e1\u010dov\u00e1, Veronika,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15797289"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15797289", "name": "item", "description": "10.5281/zenodo.15797289", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15797289"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-03T00:00:00Z"}}, {"id": "10.5281/zenodo.15835321", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:24:19Z", "type": "Dataset", "title": "Single- and double-cropping soybean production systems in Brazil: EPIC-IIASA GGCM simulations", "description": "Soy production in Brazil continues to expand in response to growing global demand. This expansion has been enabled by improved soy varieties and greater agricultural flexibility, allowing for practices such as double-cropping. Being able to model recent past areal expansion and productivity increase of these cropping systems requires a good assessment of their productivity and environmental externalities (e.g., soil organic carbon, soil erosion, nutrient leaching) under alternative management practices.  To assess the productivity and environmental impacts of soybean production systems in Brazil, we employed a gridded modelling framework EPIC-IIASA GGCM, based on the process-based model EPIC (Environmental Policy Integrated Climate, https://epicapex.tamu.edu/about/epic). The analysis included key cropping systems and conservation practices commonly used in Brazil today: soy mono-cropping, no-till double cropping with corn, and no-till soy cultivation with pearl millet cover cropping. Additionally, we evaluated the role of irrigation and cultivar transitions as management options to support the sustainable transformation of soybean production.  Simulations were conducted on a 0.5\u00b0 resolution grid covering the period from 1982 to 2016, contributing to Deliverable 6.1, \u201cNon-food biomass production based on biophysical modelling\u201d, developed under the CLEVER project (Creating Leverage to Enhance Biodiversity Outcomes of Global Biomass Trade), funded by the Horizon Europe programme (Topic: HORIZON-CL6-2021-BIODIV-01-15, Project Number: 101060765). Among other goals, the CLEVER project seeks to enhance biodiversity outcomes through improved modelling of global biomass trade.  These files are included:  1) CLEVER_BRA_SOY_YLD.zip including 20 NetCDF files containing gridded soybean yield data modelled for soybean production systems, based on the simulation design described in the ReadMe file  2) CLEVER_BRA_SOY_ENVI.zip including 60 NetCDF files containing gridded environmental externality data modelled for soybean production systems, based on the simulation design described in the ReadMe file.  3) ReadMe.docx: Simulation design and metadata description.", "keywords": ["Yield (agricultural)", "Sustainable agriculture", "Computer Simulation"], "contacts": [{"organization": "Balkovic, Juraj, Skalsky, Rastislav, Folberth, Christian, Oberleitner, Thomas,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15835321"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15835321", "name": "item", "description": "10.5281/zenodo.15835321", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15835321"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-08T00:00:00Z"}}, {"id": "10.5281/zenodo.16026838", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:24:20Z", "type": "Dataset", "title": "Greenhouse gas mitigation potential of temperate fen paludicultures - Dataset", "description": "See ReadMe file for detailed description of available data and code.  Title of the associated publication: \u201cGreenhouse gas mitigation potential of temperate fen paludicultures\u201d  Authors: Carla Bockermann\u26661,2 https://orcid.org/0000-0002-9484-5746, Tim Eickenscheidt\u26661 https://orcid.org/0000-0002-3036-3238, Matthias Dr\u00f6sler https://orcid.org/0009-0007-4523-6964  \u2666Joint First Authorship: Carla Bockermann and Tim Eickenscheidt should be considered joint first author.  Institutional affiliations: 1Weihenstephan-Triesdorf University of Applied Sciences, Peatland Science Centre (PSC), Freising, Germany; 2Technical University of Munich, TUM School of Life Sciences, Freising, Germany  Corresponding Author Contact Information: carla.bockermann@hswt.de\u2003  Abstract: Peatlands lose their valuable carbon (C) sink function under intensive land use and turn into greenhouse gases (GHG) emission hotspots. Despite scarce empirical evidence, paludiculture is expected to have significant GHG mitigation potential for organic soils. This study provides the first comprehensive dataset on full GHG balances for newly established fen paludicultures over a water table (WT) gradient spanning annual mean WT of \u22120.29 m to +0.04 m, stratified into moderately rewetted conditions (\u22120.30 m < WT < \u22120.10 m) and rewetted conditions (WT \u2265 \u22120.10 m). We used manual and novel automated chambers to measure annual carbon dioxide (CO2), methane and nitrous oxide emissions from five typical fen plant species (Carex acutiformis, Phalaris arundinacea, Phragmites australis, Typha angustifolia and T. latifolia) newly established as peatland biomass crops in three temperate fen peatlands in southern Germany. Our study confirms a significant GHG mitigation potential for the tested plant species and found a C sink function of paludiculture. The results yield preliminary emission factors of \u22120.1 and \u221212.0 t CO2-equivalents ha\u22121 yr\u22121 under moderately rewetted conditions (n=39) and under rewetted conditions (n=43), respectively. We further identify an optimal annual mean WT of \u22120.07 m for maximizing GHG reduction across all plant species and sites with a net C sink achieved at a mean annual WT of \u2265 \u22120.12 m. Presuming the conversion of arable land into paludiculture, a mitigation potential of up to \u221251.9 t CO2-equivalent is attainable per hectare and year. These findings highlight that well-managed paludiculture could make a considerable contribution toward achieving the politically targeted CO2 sink function in the LULUCF sector.", "keywords": ["peatland", " organic soil", " water table", " Carex", " Phalaris", " Phragmites", " Typha", " LULUCF", " preliminary emission factor", " carbon balance"], "contacts": [{"organization": "Bockermann, Carla, Eickenscheidt, Tim, Dr\u00f6sler, Matthias,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.16026838"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.16026838", "name": "item", "description": "10.5281/zenodo.16026838", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.16026838"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-17T00:00:00Z"}}, {"id": "10.5281/zenodo.17878641", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:24:28Z", "type": "Report", "title": "Learning Environment development strategy (update 2). Deliverable D7.4 of the EU Horizon 2020 project OPTAIN.", "description": "Deliverable report D7.4 (update 1) of the EU Horizon 2020 Project OPTAIN (Grant agreement No. 862756).  D7.4 presents the overall strategy and method used to develop the OPTAIN Learning Environment. The first version was prepared at month 12, reviewed and validated by the European Commission at month 18. The first update was delivered in month 36. This document is the second update (month 48). The first version and the updates\u00a0respectively correspond to the 2 parts of the deliverable.  Summary  Deliverable D7.4 OPTAIN Learning Environment development strategy is related to task 7.2 'Learning Environment and website' of OPTAINs WP7 'Communication, dissemination and Learning Environment'. The Learning Environment (LE) is an online platform that is being developed to help building capacity and disseminate OPTAIN\u00a0methodologies and results and to convey the knowledge co-created by OPTAIN consortium towards NSWRM stakeholders and beyond.\u00a0  The strategy development for the LE is an iterative process that has started at the beginning of the project (September 2020). Two updates of the strategy are planned over the course of the project. The first version of deliverable D7.4 was released at month 12 (August 2021). It corresponds to PART 1 of the deliverable. Among other things on the method, targeted audiences, planning, etc., it presents the consolidated vision of the LE. The vision was based on the foreseen LE described in the 'Description of Activities' and the expectations of the partners gathered via interviews. As a result, the frame of the LE was designed.\u00a0  The first update of the deliverable D7.4 was submitted in October 2023. It corresponds to PART 2 of this document. The starting point of the first update is the LE frame (Figure a), which guided the development of the first mock-up (Figure b) and then the development the first online version. The overall development benefited from regular exchanges with the partners, case studies stakeholders through the MARG as well as with external stakeholders through interviews made for deliverable D7.5 to set OPTAIN training analysis.\u00a0  PART 2 first highlights the conceptual development of the LE, which took place from August 2021 to October 2023. It then focusses on the technical development, which ended up on the first online version, presented during the OPTAIN Summer School (Prague, Czech Republic, July 2023) and the OPTAIN General Assembly (Iseo, Italy, September 2023). PART 2 also recalls the key discussions on the indicators used by the CS leaders to describe their NSWRMs.\u00a0  The second update of the deliverable D7.4 was submitted in February 2025 (this report). It contains key refinements to enhance usability, navigation, and partner feedback. Structured progress updates have been introduced under each section of PART 2 to track specific improvements and milestones:    Interactive mapping and visualisation tools, improving user interaction.  Structured knowledge pathways, tailoring content for different stakeholders.  Enhanced case study integration, ensuring that case studies are incorporated.  Optimised menu navigation, refining content access and usability.  Expanded language features, enabling multilingual accessibility.\u00a0  Advanced filtering and search functionalities, facilitating content discovery.\u00a0   The LE is now available with its final URL (https://le.optain.eu/). Although the content is not yet available for the public, all partners have been given a login and password so they can provide feedback. Each section now includes dedicated progress update boxes so that progress can be tracked in a structured format. The final version of the LE is on track for completion by the end of 2025, with improvements continuing based on user feedback and testing. This continuous improvement process supports the long-term usability and sustainability of the platform and ensures its relevance beyond the project duration.", "keywords": ["Learning Environment", "communication", "NSWRM", "H2020", "OPTAIN", "dissemination"], "contacts": [{"organization": "Amorsi, Natacha, Lanceleur, Philippe, Bernard, Sadika,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17878641"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17878641", "name": "item", "description": "10.5281/zenodo.17878641", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17878641"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-02-28T00:00:00Z"}}, {"id": "10.5281/zenodo.17941270", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:24:28Z", "type": "Dataset", "title": "Dataset to: Austrian NIR Soil Spectral Library for Soil Health Assessments", "description": "Dataset description  This is the corresponding dataset to the publication 'Austrian NIR Soil Spectral Library for Soil Health Assessments' by Fohrafellner et al. (2025). In this publication, we created the first Austrian Near-Infrared (NIR) Soil Spectral Library (680 \u2013 2500 nm) using 2,129 legacy samples from all environmental zones of Austria. Additionally, we utilized partial least squares regression modeling to evaluate the dataset's current effectiveness for soil health assessments. The dataset contains three tabs, 'Document meta data', 'Legend' and 'Dataset'. Tab 'Document meta data' gives information on the authors, the data collection time frame, terms of use, etc. In 'Legend', each column of the 'Dataset' is described. The 'Dataset' contains information on the legacy soil samples including:\u00a0    meta data (e.g. sample number, sampling year, zip code, environmental zone, land use),   soil properties (soil organic carbon [SOC], SOC to clay ratio, total carbon, labile carbon, CaCO3, total nitrogen, plant available phosphorus, pH measured in CaCl2 and acetate, cation exchange capacity, texture [sand, silt, clay content], and clay content measured by density in suspension), and  measured NIR soil spectra, also for the standards.   Project description  This Austrian NIR Soil Spectral Library was built within the ProbeField project (November 2021 \u2013 January 2025), which was part of the European Joint Program for SOIL 'Towards climate-smart sustainable management of agricultural soils' (EJP SOIL) funded by the European Union Horizon 2020 research and innovation programme (Grant Agreement N\u00b0 862695). The project aimed to create a protocol detailing procedures and methodologies for accurately estimating fertility-related properties in agricultural soils in the field. Additionally, the potential for extending this data to two- and three-dimensional mapping using co-variates was demonstrated. ProbeField further collected field spectra that closely match laboratory spectra, enabling the prediction of soil properties using models calibrated with soil spectral libraries.  References  Fohrafellner, J., Lippl, M., Bajraktarevic, A., Baumgarten, A., Spiegel, H., K\u00f6rner, R. and Sand\u00e9n, T.: Austrian NIR Soil Spectral Library for Soil Health Assessments, 2025, in review.", "keywords": ["EJP SOIL", "ProbeField", "spectroscopy", "data", "near-infrared"], "contacts": [{"organization": "Fohrafellner, Julia, Lippl, Maximilian, Bajraktarevic, Armin, Baumgarten, Andreas, Spiegel, Heide, K\u00f6rner, Robert, Sand\u00e9n, Taru,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17941270"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17941270", "name": "item", "description": "10.5281/zenodo.17941270", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17941270"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-21T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=P&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?keywords=P&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": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=P&", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=P&offset=50", "hreflang": "en-US"}], "numberMatched": 19609, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-04-16T14:35:48.733312Z"}