{"type": "FeatureCollection", "features": [{"id": "10.1016/j.gca.2019.06.035", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:16:00Z", "type": "Journal Article", "created": "2019-07-02", "title": "Experimentally determined Si isotope fractionation between zircon and quartz", "description": "Abstract The silicon isotope composition of detrital quartz and zircon have the potential to inform us about secular changes to the silica cycle and weathering reactions on Earth. However, inferring source melt Si isotope composition from out-of-context minerals is hampered by the fact that, to-date, there is limited Si isotope equilibrium fractionation data for minerals. Here, we report experimental data to constrain Si isotope equilibrium fractionation between zircon and quartz, using two fundamentally different strategies, but with the same experimental design. First, zircon and quartz were hydrothermally synthesized from Zr(OH)4 and SiO2 at 1.5\u202fGPa and temperatures of 725, 800, and 900\u202f\u00b0C. The second experimental strategy utilized the three-isotope method; the starting materials consisted of natural zircon and isotopically-labelled SiO2. Three sets of hydrothermal time-series experiments were conducted at the same pressure and temperatures as the direct synthesis experiments. For all experiments, quartz and zircon were separated and 30Si/28Si and 29Si/28Si ratios were measured by solution multi-collector inductively coupled plasma mass spectrometry. The three-isotope method, which provides the best indicator of equilibrium fractionations, yields the following relationship: \u0394 30 S i ( q t z - z r c ) = ( 0.53 \u00b1 0.14 ) \u00d7 10 6 / T 2 where \u039430Si(qtz-zrc) is the relative difference in 30Si/28Si between quartz and zircon in permil, T is temperature in K, and the error is 2\u202fs.e. This relationship can be used to calculate the fractionation between zircon and other phases, and to estimate the Si isotope composition of the melt from which a zircon crystallized. The results may be used to assess equilibrium-disequilibrium isotope fractionations between quartz and zircon and co-existing phases in igneous rocks. These data can also be applied to out-of-context zircon (and quartz) to estimate the isotope composition of the host rock. Zircons crystallizing from a melt derived from purely igneous sources \u2013 i.e., without the involvement of \u201cweathered\u201d material \u2013 are expected to display a \u03b430SiNBS-28 (permil deviation of the 30Si/28Si from the NBS-28 standard) range from \u22120.7 to \u22120.35\u2030. Deviations from this range indicate assimilation of non-igneous (i.e., sedimentary) material in the melt source.", "keywords": ["Zircon", "GE", "550", "NDAS", "Quartz", "Si isotopes", "7. Clean energy", "01 natural sciences", "Three-istope", "[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "13. Climate action", "Igneous", "Three-isotope", "[SDU.STU.GC] Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "Fractionation", "GE Environmental Sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.gca.2019.06.035"}, {"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.2019.06.035", "name": "item", "description": "10.1016/j.gca.2019.06.035", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.gca.2019.06.035"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-09-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2019.114061", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:16:04Z", "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.jhazmat.2021.125292", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:16:14Z", "type": "Journal Article", "created": "2021-02-05", "title": "Reactive-transport modelling of Enterococcus faecalis JH2-2 passage through water saturated sediment columns", "description": "The reuse of treated wastewater (e.g. for irrigation) is a common practice to combat water scarcity problems world-wide. However, the potential spread of opportunistic pathogens and fecal contaminants like Enterococci within the subsoil could pose serious health hazards. Additional sources (e.g., leaky sewer systems, livestock farming) aggravate this situation. This study contributes to an understanding of pathogen spread in the environment, using a combined modelling and experimental approach. The impact of quartz sediment and certain wastewater characteristics on the dissemination of Enterococcus faecalis JH2-2 is investigated. The transport processes of advection-dispersion and straining were studied by injecting conservative saline tracer and fluorescent microspheres through sediment packed columns, and evaluating resulting breakthrough curves using models. Similarly, simultaneously occurring reactive processes of microbial attachment, decay, respiration and growth were studied by injecting Enterococcus faecalis JH2-2 suspended in water with or without dissolved oxygen (DO) and nutrients through sediment, and evaluating resulting inlet and outlet concentration curves. The processes of straining, microbial decay and growth, were important when DO was absent. Irreversible attachment was important when DO was present. Sensitivity analysis of each parameter was conducted, and field scale behavior of the processes was predicted, to facilitate future work.", "keywords": ["Physical Phenomena", "13. Climate action", "Enterococcus faecalis", "Water Movements", "0207 environmental engineering", "Water", "02 engineering and technology", "01 natural sciences", "Enterococcus", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.jhazmat.2021.125292"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Hazardous%20Materials", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jhazmat.2021.125292", "name": "item", "description": "10.1016/j.jhazmat.2021.125292", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jhazmat.2021.125292"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-01T00:00:00Z"}}, {"id": "10.1016/j.scitotenv.2019.05.236", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:16:23Z", "type": "Journal Article", "created": "2019-05-22", "title": "A review of threats to groundwater quality in the anthropocene", "description": "Awareness concerning sustainable groundwater consumption under the context of land use and climate change is gaining traction, raising the bar for adequate understanding of the complexities of natural and anthropogenic processes and how they affect groundwater quality. The heterogeneous characteristics of aquifers have hampered comprehensive source, transport and contaminant identification. As questions remain about the behavior and prediction of well-known groundwater contaminants, new concerns around emerging contaminants are on the increase. This review highlights some of the key contaminants that originate from anthropogenic activities, organized based on land use categories namely agricultural, urban and industrial. It further highlights the extensive overlap, in terms of both provenance as well as contaminant type, between the different land use sectors. A selection of case studies from literature that describe the continued concern of established contaminants, as well as new and emerging compounds, are presented to illustrate the many qualitative threats to global groundwater resources. In some cases, the risk of groundwater contamination lacks adequate gravity, while in others the underlying physical and societal processes are not fully understood and activities may commence without adequately considering potential impacts. In the agricultural context, the historic and current application of fertilizers and plant protectants, use of veterinary pharmaceuticals and hormones, strives to safeguard the growing food demands. In the context of a sprawling urban environment, waste, human pharmaceuticals, and urban pesticide outputs are increasing, with adequate runoff and sanitation infrastructure often lagging. Finally, industrial activities are associated with accidental leaks and spills, while the large-scale storage of industrial byproducts has led to legacy contaminants such as those stemming from raw mineral extraction. With this review paper, we aim to underscore the need for transdisciplinary research, along with transboundary communication, using sound science and adaptive policy and management practice in order to procure sustainable groundwater quality.", "keywords": ["2. Zero hunger", "13. Climate action", "11. Sustainability", "15. Life on land", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences", "12. Responsible consumption"]}, "links": [{"href": "https://doi.org/10.1016/j.scitotenv.2019.05.236"}, {"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.2019.05.236", "name": "item", "description": "10.1016/j.scitotenv.2019.05.236", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.scitotenv.2019.05.236"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-09-01T00:00:00Z"}}, {"id": "10.1016/j.soilbio.2014.02.017", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:16:34Z", "type": "Journal Article", "created": "2014-03-11", "title": "Microbial Interactions Affect Sources Of Priming Induced By Cellulose", "description": "Abstract The recently developed 3-source-partitioning approach: addition of 14 C labeled organics to soil after C3\u2013C4 vegetation changes, was used to distinguish C sources in three compartments, namely CO 2 , microbial biomass and dissolved organic C (DOC) during decomposition of labeled cellulose. Microbial community structure (based on PLFA composition) and functions (based on enzyme activities and on microbial growth parameters) revealed mechanisms and drivers of priming effects (PE) induced by cellulose addition. 14 C-cellulose input caused negative PE within the first week and was accompanied by fast consumption of unlabelled DOC and its incorporation into microbial biomass. Microbial activation however, was not confirmed by substrate-induced respiration, nor by hydrolytic enzymes activity or by PLFA changes. A remarkable exception was a 2-fold increase in protozoan PLFA. Such an increase indicates that microorganisms feeding on cellulose and on DOC were quickly grazed by protozoans acting as a driver of microbial succession. This experimentally demonstrates the functioning of the microbial interactions: protozoan grazers provided for rapid recycling of nutrients and facilitated the succession of cellulose-degrading microorganisms during the second week of cellulose decomposition. An increase in the activity of cellulolytic enzymes caused short-term real PE accompanied by increase in abundance of slow-growing fungi and G(\u2212) bacteria. Long-term real PE observed between 14 and 60 days after cellulose input was due to decomposition of SOM-originated hemicelluloses by fungi and G(+) bacteria. The CO 2 released by primed soil organic matter (SOM) decomposition was originated mainly from C younger than 12 years (63%) and only 37% were older than 12 years despite the recent and old C contributed almost equally (51 and 49%, respectively) to SOM under Miscanthus giganteus . This indicates that the SOM pools are involved in PE according to their availability. Despite 71% of the applied cellulose-C was sequestered in the soil, the net soil C-gain amounted only for 28% of the applied cellulose-C after factoring in the C losses by the PE. Our study emphasizes the role of food webs in the PE dynamics: cellulose input served as a driver activating the food chain through the microbial loop.", "keywords": ["2. Zero hunger", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences", "12. Responsible consumption"]}, "links": [{"href": "https://doi.org/10.1016/j.soilbio.2014.02.017"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Biology%20and%20Biochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.soilbio.2014.02.017", "name": "item", "description": "10.1016/j.soilbio.2014.02.017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soilbio.2014.02.017"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-07-01T00:00:00Z"}}, {"id": "10.1038/s41561-021-00714-3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:17:08Z", "type": "Journal Article", "created": "2021-04-07", "title": "Co-variation of silicate, carbonate and sulfide weathering drives CO2 release with erosion", "description": "Abstract

Global climate is thought to be modulated by the supply of minerals to Earth\uffe2\uff80\uff99s surface. Whereas silicate weathering removes carbon dioxide (CO2) from the atmosphere, weathering of accessory carbonate and sulfide minerals is a geologically relevant source of CO2. Although these weathering pathways commonly operate side by side, we lack quantitative constraints on their co-variation across erosion rate gradients. Here we use stream-water chemistry across an erosion rate gradient of three orders of magnitude in shales and sandstones of southern Taiwan, and find that sulfide and carbonate weathering rates rise with increasing erosion, while silicate weathering rates remain steady. As a result, on timescales shorter than marine sulfide compensation (approximately 106\uffe2\uff80\uff93107 years), weathering in rapidly eroding terrain leads to net CO2 emission rates that are about twice as fast as CO2 sequestration rates in slow-eroding terrain. We propose that these weathering reactions are linked and that sulfuric acid generated from sulfide oxidation boosts carbonate solubility, whereas silicate weathering kinetics remain unaffected, possibly due to efficient buffering of the pH. We expect that these patterns are broadly applicable to many Cenozoic mountain ranges that expose marine metasediments.

", "keywords": ["[SDU] Sciences of the Universe [physics]", "13. Climate action", "[SDU.STU.GC] Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "15. Life on land", "01 natural sciences", "333", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.nature.com/articles/s41561-021-00714-3.pdf"}, {"href": "https://doi.org/10.1038/s41561-021-00714-3"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Geoscience", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41561-021-00714-3", "name": "item", "description": "10.1038/s41561-021-00714-3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41561-021-00714-3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-04-01T00:00:00Z"}}, {"id": "10.1038/s41598-022-23318-2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:17:09Z", "type": "Journal Article", "created": "2022-11-05", "title": "Optical photothermal infrared spectroscopy with simultaneously acquired Raman spectroscopy for two-dimensional microplastic identification", "description": "Abstract

In recent years, vibrational spectroscopic techniques based on Fourier transform infrared (FTIR) or Raman microspectroscopy have been suggested to fulfill the unmet need for microplastic particle detection and identification. Inter-system comparison of spectra from reference polymers enables assessing the reproducibility between instruments and advantages of emerging quantum cascade laser-based optical photothermal infrared (O-PTIR) spectroscopy. In our work, IR and Raman spectra of nine plastics, namely polyethylene, polypropylene, polyvinyl chloride, polyethylene terephthalate, polycarbonate, polystyrene, silicone, polylactide acid and polymethylmethacrylate were simultaneously acquired using an O-PTIR microscope in non-contact, reflection mode. Comprehensive band assignments were presented. We determined the agreement of O-PTIR with standalone attenuated total reflection FTIR and Raman spectrometers based on the hit quality index (HQI) and introduced a two-dimensional identification (2D-HQI) approach using both Raman- and IR-HQIs. Finally, microplastic particles were prepared as test samples from known materials by wet grinding, O-PTIR data were collected and subjected to the 2D-HQI identification approach. We concluded that this framework offers improved material identification of microplastic particles in environmental, nutritious and biological matrices.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.

", "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": "2026-09-22T16:17:22Z", "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": "2026-09-22T16:17:35Z", "type": "Journal Article", "created": "2023-07-10", "title": "Aromatic amino acid biosynthesis impacts root hair development and symbiotic associations inLotus japonicus", "description": "Abstract

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. In earlier work, we compared the amount of newly fixed nitrogen (N, as synthetic fertilizer and biologically fixed N) entering agricultural systems globally to the total emission of nitrous oxide (N 2 O). We obtained an N 2 O emission factor (EF) of 3\uffe2\uff80\uff935%, and applied it to biofuel production. For \uffe2\uff80\uff98first-generation\uffe2\uff80\uff99 biofuels, e.g. biodiesel from rapeseed and bioethanol from corn (maize), that require N fertilizer, N 2 O from biofuel production could cause (depending on N uptake efficiency) as much or more global warming as that avoided by replacement of fossil fuel by the biofuel. Our subsequent calculations in a follow-up paper, using published life cycle analysis (LCA) models, led to broadly similar conclusions. The N 2 O EF applies to agricultural crops in general, not just to biofuel crops, and has made possible a top-down estimate of global emissions from agriculture. Independent modelling by another group using bottom-up IPCC inventory methodology has shown good agreement at the global scale with our top-down estimate. Work by Davidson showed that the rate of accumulation of N 2 O in the atmosphere in the late nineteenth and twentieth centuries was greater than that predicted from agricultural inputs limited to fertilizer N and biologically fixed N (Davidson, E. A. 2009 Nat. Geosci . 2 , 659\uffe2\uff80\uff93662.). However, by also including soil organic N mineralized following land-use change and NO x deposited from the atmosphere in our estimates of the reactive N entering the agricultural cycle, we have now obtained a good fit between the observed atmospheric N 2 O concentrations from 1860 to 2000 and those calculated on the basis of a 4 per cent EF for the reactive N.

", "keywords": ["2. Zero hunger", "Air Pollutants", "330", "Climate", "Nitrous Oxide", "Agriculture", "15. Life on land", "Nitrification", "01 natural sciences", "7. Clean energy", "630", "Soil", "13. Climate action", "Biofuels", "Denitrification", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1098/rstb.2011.0313"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Philosophical%20Transactions%20of%20the%20Royal%20Society%20B%3A%20Biological%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1098/rstb.2011.0313", "name": "item", "description": "10.1098/rstb.2011.0313", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1098/rstb.2011.0313"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-05-05T00:00:00Z"}}, {"id": "10.1111/gcb.12819", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:17:48Z", "type": "Journal Article", "created": "2014-12-05", "title": "Soil Warming And Co2 Enrichment Induce Biomass Shifts In Alpine Tree Line Vegetation", "description": "Abstract

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 <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.

", "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": "10.1111/j.1365-2486.2009.02121.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:17:56Z", "type": "Journal Article", "created": "2009-12-22", "title": "Functional Changes In The Control Of Carbon Fluxes After 3 Years Of Increased Drought In A Mediterranean Evergreen Forest?", "description": "Abstract

Our objective was to test how a long\uffe2\uff80\uff90term increased water limitation affects structural and functional properties of a Mediterranean ecosystem, and how these changes modify the response of the main carbon fluxes to climatic controls. In 2003, a 27% throughfall exclusion experiment was installed in a Quercus ilex L. forest in France. Gross primary production (GPP), ecosystem respiration (RECO) and net ecosystem exchange (NEE) were estimated in a control and a dry treatment. Decreasing throughfall decreased GPP by 14% and had a smaller effect on RECO (\uffe2\uff88\uff9212%), especially soil respiration RS (\uffe2\uff88\uff9211%). Interannual variability of GPP (29%) was higher than for RECO (12%). Error propagation was used to estimates uncertainties in the NEE fluxes, which ranged from 3% to 10% in the control treatment but up to 167% for NEE in the dry treatment because more steps and data types were involved in the scaling. After 3 years of throughfall exclusion, we found no acclimation of RS to climatic drivers. Functional properties of the response of RS to soil water, temperature and rain pulse remained similar in the control and the dry treatments. A diurnal clockwise hysteresis in RS was probably controlled by canopy photosynthesis with a 3\uffe2\uff80\uff83h lag. The proportion of diurnal variation of respiration due to photosynthesis was similar in all treatments (4\uffe2\uff80\uff935%). Because of the characteristic of rain in Mediterranean climates, a continuous decrease of water input in these environments have an effect on topsoil water and consequently on RS only during short periods when rainfall is characterized by infrequent and small events that does not allow the topsoil to reach field capacity and does not allow to dry completely. However, in the longer term, we expect a stronger decrease in RS in the dry treatment driven by the decrease in GPP.

", "keywords": ["0106 biological sciences", "550", "15. Life on land", "gross primary production", "soil respiration", "01 natural sciences", "630", "6. Clean water", "Quercus ilex", "throughfall exclusion", "13. Climate action", "rain pulse", "eddy-covariance", "Q(10)", "error propagation", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1111/j.1365-2486.2009.02121.x"}, {"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/j.1365-2486.2009.02121.x", "name": "item", "description": "10.1111/j.1365-2486.2009.02121.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1365-2486.2009.02121.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-08-01T00:00:00Z"}}, {"id": "10.1117/12.2624440", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:18:07Z", "type": "Journal Article", "created": "2022-05-19", "title": "Perfluorinated polymer fibre Bragg grating sensors for distributed low-dose clinical X-ray measurements", "description": "Optical fibres have played an important role in the advancement of real-time dosimetry in clinical applications in recent years. Significant work has been done to increase precision and accuracy in detecting radiation doses during treatment, to avoid the negative effect that can ensue from irradiating healthy tissue around the tumour. The drive to develop distributed measurement in optical fibres has been limited to the slow scanning speed systems from optical time domain reflectometry (OTDR), however for radiotherapy dosimetry, with often short radiation pulse durations, fibre Bragg grating (FBG) interrogation is a better alternative because of the fast-scanning speed. The work presented here includes the preliminary results in the characterisation of CYTOP FBGs on exposure to X-ray radiation emitted from a clinical linear accelerator (linac) machine. A blue shifted linear response of the Bragg wavelength with sensitivity of 6.655 pm/Gy, 6.519 pm/Gy and 7.153 pm/Gy at the three main peaks (1522 nm, 1542 and 1561 nm), was recorded for a 9 Gy of radiation at a dose rate of 1.758 Gy/min with an amplitude fluctuation within the duration of radiation. The response demonstrates the potential for its use in low dose radiation dosimetry, providing for quasi-distributed sensing in radiotherapy.", "keywords": ["0211 other engineering and technologies", "fibre optics dosimetry", "02 engineering and technology", "Electrical Engineering - Electronic Engineering - Information Engineering", "X-ray", "Fibre Bragg grating", "Optical fibres", "Radiation Monitoring", "Dosimetry", "fibre Bragg grating sensors", "0202 electrical engineering", " electronic engineering", " information engineering", "fibre optics sensors", "Engineering and Technology", "CYTOP", "low-dose clinical X-ray measurements"]}, "links": [{"href": "https://doi.org/10.1117/12.2624440"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Micro-Structured%20and%20Specialty%20Optical%20Fibres%20VII", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1117/12.2624440", "name": "item", "description": "10.1117/12.2624440", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1117/12.2624440"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-19T00:00:00Z"}}, {"id": "10.1128/aem.02264-23", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:18:09Z", "type": "Journal Article", "created": "2024-02-19", "title": "Novel endolithic bacteria of phylum Chloroflexota reveal a myriad of potential survival strategies in the Antarctic desert", "description": "ABSTRACT

The ice-free McMurdo Dry Valleys of Antarctica are dominated by nutrient-poor mineral soil and rocky outcrops. The principal habitat for microorganisms is within rocks (endolithic). In this environment, microorganisms are provided with protection against sub-zero temperatures, rapid thermal fluctuations, extreme dryness, and ultraviolet and solar radiation. Endolithic communities include lichen, algae, fungi, and a diverse array of bacteria. Chloroflexota is among the most abundant bacterial phyla present in these communities. Among the Chloroflexota are four novel classes of bacteria, here named Candidatus Spiritibacteria class. nov. (=UBA5177), Candidatus Martimicrobia class. nov. (=UBA4733), Candidatus Tarhunnaeia class. nov. (=UBA6077), and Candidatus Uliximicrobia class. nov. (=UBA2235). We retrieved 17 high-quality metagenome-assembled genomes (MAGs) that represent these four classes. Based on genome predictions, all these bacteria are inferred to be aerobic heterotrophs that encode enzymes for the catabolism of diverse sugars. These and other organic substrates are likely derived from lichen, algae, and fungi, as metabolites (including photosynthate), cell wall components, and extracellular matrix components. The majority of MAGs encode the capacity for trace gas oxidation using high-affinity uptake hydrogenases, which could provide energy and metabolic water required for survival and persistence. Furthermore, some MAGs encode the capacity to couple the energy generated from H 2 and CO oxidation to support carbon fixation (atmospheric chemosynthesis). All encode mechanisms for the detoxification and efflux of heavy metals. Certain MAGs encode features that indicate possible interactions with other organisms, such as Tc-type toxin complexes, hemolysins, and macroglobulins.

IMPORTANCE

The ice-free McMurdo Dry Valleys of Antarctica are the coldest and most hyperarid desert on Earth. It is, therefore, the closest analog to the surface of the planet Mars. Bacteria and other microorganisms survive by inhabiting airspaces within rocks (endolithic). We identify four novel classes of phylum Chloroflexota , and, based on interrogation of 17 metagenome-assembled genomes, we predict specific metabolic and physiological adaptations that facilitate the survival of these bacteria in this harsh environment\uffe2\uff80\uff94including oxidation of trace gases and the utilization of nutrients (including sugars) derived from lichen, algae, and fungi. We propose that such adaptations allow these endolithic bacteria to eke out an existence in this cold and extremely dry habitat.

", "keywords": ["570", "Bacteria", "Fungi", "Antarctic Regions", "Chloroflexi", "15. Life on land", "Survival strategies", "Cold Temperature", "Extremophiles", "13. Climate action", "Antarctica", "Endolithic communities", "Metagenomics", "14. Life underwater", "Sugars", "Settore BIO/19 - MICROBIOLOGIA GENERALE"]}, "links": [{"href": "https://doi.org/10.1128/aem.02264-23"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20and%20Environmental%20Microbiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1128/aem.02264-23", "name": "item", "description": "10.1128/aem.02264-23", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1128/aem.02264-23"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-19T00:00:00Z"}}, {"id": "10138/578894", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:21:54Z", "type": "Journal Article", "created": "2024-05-31", "title": "Comparison between lower-cost and conventional eddy covariance setups for CO2 and evapotranspiration measurements above monocropping and agroforestry systems", "description": "Open AccessPeer reviewed", "keywords": ["Physical sciences", "Evapotranspiration", "Lower-cost eddy covariance", "Carbon dioxide flux", "Agroforestry", "Gas analyzer"]}, "links": [{"href": "https://doi.org/10138/578894"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10138/578894", "name": "item", "description": "10138/578894", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10138/578894"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-07-01T00:00:00Z"}}, {"id": "10.1590/s0100-06832009000100016", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:18:32Z", "type": "Journal Article", "created": "2009-03-11", "title": "Atributos F\u00edsicos, Qu\u00edmicos E Biol\u00f3gicos De Solo De Cerrado Sob Diferentes Sistemas De Uso E Manejo", "description": "

\uffc3\uff80 medida que o conhecimento do sistema plantio direto se amplia, verifica-se que o uso de indicadores qu\uffc3\uffadmicos isolados n\uffc3\uffa3o permite melhor caracteriza\uffc3\uffa7\uffc3\uffa3o dos solos, sendo necess\uffc3\uffa1rio utilizar um conjunto de indicadores da qualidade do solo com a entrada de outros atributos, entre eles os f\uffc3\uffadsicos e os biol\uffc3\uffb3gicos. Objetivou-se avaliar os efeitos de sistemas de manejo e uso do solo nos atributos f\uffc3\uffadsicos, qu\uffc3\uffadmicos e biol\uffc3\uffb3gicos de um Latossolo Vermelho distr\uffc3\uffb3fico e um Neossolo Quartzar\uffc3\uffaanico \uffc3\uffb3rtico sob Cerrado, no entorno do Parque Nacional das Emas. Os aspectos avaliados no Latossolo foram: Cerrado nativo, pastagem, milheto em preparo convencional, nabo forrageiro em plantio direto e sorgo em plantio direto. No Neossolo: Cerrado nativo, pastagem nativa, integra\uffc3\uffa7\uffc3\uffa3o agricultura-pecu\uffc3\uffa1ria, pastagem cultivada, plantio direto com soja no ver\uffc3\uffa3o e plantio direto com milho no ver\uffc3\uffa3o. As amostras de solo foram coletadas na profundidade de 0 a 10 cm. O delineamento experimental foi o inteiramente casualizado, com cinco parcelas de 150 m\uffc2\uffb2, sendo coletadas 10 subamostras aleat\uffc3\uffb3rias. As an\uffc3\uffa1lises qu\uffc3\uffadmicas, f\uffc3\uffadsicas e biol\uffc3\uffb3gicas foram realizadas no Laborat\uffc3\uffb3rio de Solos da UFG/CJ. Os manejos promoveram altera\uffc3\uffa7\uffc3\uffb5es na densidade do solo, volume total de poros, macroporos e resist\uffc3\uffaancia do solo \uffc3\uffa0 penetra\uffc3\uffa7\uffc3\uffa3o no Neossolo e no Latossolo, excetuando-se neste o volume total de poros. Houve pequena varia\uffc3\uffa7\uffc3\uffa3o nos atributos qu\uffc3\uffadmicos nos dois solos, com o Cerrado apresentando maior acidez potencial e menor teor de c\uffc3\uffa1tions troc\uffc3\uffa1veis e P. Os atributos biol\uffc3\uffb3gicos do solo foram alterados pelos sistemas de manejo, sendo mais prejudicados em sistemas com maior revolvimento do solo. A an\uffc3\uffa1lise can\uffc3\uffb4nica dos dados demonstrou que os atributos f\uffc3\uffadsicos foram os de menor import\uffc3\uffa2ncia por apresentar maior coeficiente de pondera\uffc3\uffa7\uffc3\uffa3o nas vari\uffc3\uffa1veis can\uffc3\uffb4nicas. Os atributos do solo, isoladamente, pouco contribu\uffc3\uffadram para a avalia\uffc3\uffa7\uffc3\uffa3o da qualidade do solo: no entanto, quando se usou a an\uffc3\uffa1lise multivariada, subsidiaram a constata\uffc3\uffa7\uffc3\uffa3o dos manejos do solo mais sustent\uffc3\uffa1veis.

", "keywords": ["C fra\u00e7\u00e3o leve", "multivariate analysis", "an\u00e1lise multivariada", "plantio direto", "light carbon fraction", "0401 agriculture", " forestry", " and fisheries", "soil quality", "04 agricultural and veterinary sciences"]}, "links": [{"href": "https://doi.org/10.1590/s0100-06832009000100016"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Revista%20Brasileira%20de%20Ci%C3%AAncia%20do%20Solo", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1590/s0100-06832009000100016", "name": "item", "description": "10.1590/s0100-06832009000100016", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1590/s0100-06832009000100016"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-02-01T00:00:00Z"}}, {"id": "10.17026/dans-z8z-5t4e", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:18:35Z", "type": "Dataset", "title": "Consumers' attitudes towards microbial applications in food production", "description": "The data was collected using an online survey as part of the research activities of the European Horizon 2020 project SIMBA (Sustainable Innovation of Microbiome Applications in the Food System). Online surveys were used to collect consumer respondent data for three food products (wheat bread, consumer potatoes and tomato sauce). These food products were selected as part of the EU Horizon 2020 SIMBA project for reflecting the diversity of food value chains in terms of organisation, technology, climatic conditions and consumption patterns across the EU. Three questionnaires corresponding to the three food products were prepared. The questionnaires consisted of four main parts: (1) socio-demographic characteristics (e.g. gender, education, income; Part One), (2) health and environmental concerns related to chemical use in farming, knowledge about microbial applications, perceived microbial health risks and attitude towards microbial applications in food production (Part Two), (3) questions for eliciting a consumer\u2019s willingness-to-pay (WTP) for a food product that had been obtained through a microbial-enhanced production system with reduced or no chemical use (Part Three), and (4) questions for eliciting a respondent\u2019s food choice motives (FCMs) using de Boer et al.\u2019s (2007) FCM questionnaire (Part Four). In addition, the questionnaire had an introduction section containing information sheet about the study and a consent form. The consent form and the information sheet for safeguarding the ethical aspects of this study (e.g. data handling, privacy and potential risks to respondents) were approved by the General Assembly of the SIMBA project as well as the Social Sciences Ethics Committee of Wageningen University prior to distributing the surveys. We collected data primarily from three countries: Germany, Italy and Netherlands.The data was collected to undertake a study to support the uptake of food products that are produced and/or processed using microbial applications. The aim of the survey was to get some insights about food choice motives of consumers, and the socio-demographic and behavioural factors influencing their food choices. The survey specifically aimed to assess the preferences and perceptions, and willingness-to-pay of consumers to wheat, potato and tomato-based food products that are produced and/or processed using microbial applications.", "keywords": ["2. Zero hunger", "13. Climate action", "Economics", "Social and Behavioural Sciences", "Business and Management", "Food economics", "12. Responsible consumption"], "contacts": [{"organization": "BM Ali", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.17026/dans-z8z-5t4e"}, {"rel": "self", "type": "application/geo+json", "title": "10.17026/dans-z8z-5t4e", "name": "item", "description": "10.17026/dans-z8z-5t4e", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.17026/dans-z8z-5t4e"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.2139/ssrn.5084742", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:19:01Z", "type": "Journal Article", "created": "2025-05-25", "title": "ZnO-nanostructured electrochemical sensor for efficient detection of glyphosate in water", "description": "Glyphosate is a widely used broad-spectrum herbicide for controlling grassy weeds, despite having potential health hazards. Herein, we report on a solid-state electrochemical sensor based on ZnO nanoparticles (ZnO NPs) for on-site detection of glyphosate. Accordingly, ZnO NPs was drop-cast on the surface of a disposable screen-printed carbon electrode. Eco-friendly ZnO NPs of only 7 nm crystallite sizes were obtained by green sol-gel synthesis using lemon (Citrus limon) waste aqueous extract as the green reducing and capping/stabilizing agent and Zn nitrate precursor as evidenced by scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction and diffuse reflectance. SEM confirmed successful electrode functionalization with the synthesized nanoparticles. Under laboratory conditions in acetate buffer (pH 5), the sensor demonstrated excellent selectivity and sensitivity, with a detection limit of 0.648 \u00b5M, a wide linear detection range (0.5 \u00b5M to 7.5 mM), and a rapid detection time of 30 min. When tested in river water, the sensor achieved a detection limit of 0.96 \u00b5M using differential pulse voltammetry. It also exceptionally tolerated interference from similar organophosphorus compounds and ions commonly found in river water. The excellent detection performance of the sensor was attributed to the strong coordination interactions between Zn atoms and phosphonate/carboxylate groups that are enhanced by a hydrogen bond at acidic pH, as determined by chemical calculations. This disposable sensor offers a cost-effective, efficient, and environmentally friendly solution for monitoring glyphosate in water systems.", "keywords": ["QD71-142", "Environmental water", "Eco-friendly ZnO nanoparticles", "Computational modeling", "Pesticides", "Eco-friendly ZnO nanoparticles;", "[SDV.MP] Life Sciences [q-bio]/Microbiology and Parasitology", "Analytical chemistry", "Sensor"]}, "links": [{"href": "https://doi.org/10.2139/ssrn.5084742"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Talanta%20Open", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2139/ssrn.5084742", "name": "item", "description": "10.2139/ssrn.5084742", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2139/ssrn.5084742"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-01T00:00:00Z"}}, {"id": "10.23986/afsci.148486", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:19:06Z", "type": "Journal Article", "created": "2025-05-26", "title": "Defining critical SOC/clay thresholds for soil health in boreal croplands using satellite-based NDVI proxies for productivity and resilience", "description": "

The European Union\u2019s soil strategy underscores the necessity for establishing feasible criteria to assess the soil health condition. In this study, we developed a method to define a critical threshold value for SOC/clay ratio on the basis of crop productivity and resilience. The study integrated data from national soil monitoring (NSM) of Finnish cropland soils (n=505) with satellite-based normalized difference vegetation index (NDVI) obtained from the EcoDataCube (EDC) portal. The study area was confined to the boreal environmental zone to ensure consistent pedo-climatic conditions. The results show that the interannual variation in crop productivity increases rapidly below SOC/clay ratio of 0.09 (95% confidence intervals ranging from 0.07 to 0.16), whereas the corresponding threshold for mean productivity was 0.13 (0.09\u20130.16). The observed threshold values were found applicable for both cereals and temporary ley. The SOC/clay ratio of 1:13 (=0.08), regarded as a criterion for healthy soil in the current Soil Monitoring Law proposal, based on studies by Johannes et al. (2017) and Prout et al. (2021), is lower than the mean thresholds estimated in this study but aligns close to the lower bound of the 95% confidence intervals. In this research, Finnish agricultural land served as the case study area, but the method is easily applicable to various pedo-climatic regions and potentially to different land use types.

", "keywords": ["S", "Soil Monitoring Law", " SOC/clay ratio", " cropland", " NDVI", " satellite data", " national soil monitoring", "Agriculture (General)", "Agriculture", "S1-972"], "contacts": [{"organization": "Heikkinen, Jaakko, Keskinen, Riikka, Ylivainio, Kari,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.23986/afsci.148486"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Food%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.23986/afsci.148486", "name": "item", "description": "10.23986/afsci.148486", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.23986/afsci.148486"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-05-26T00:00:00Z"}}, {"id": "10.24193/subbphil.2021.2s.05", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:19:06Z", "type": "Journal Article", "created": "2021-11-11", "title": "EXP\u00c9RIMENTER LA PENS\u00c9E EN SCH\u00c9MAS-IMAGES. DES ADOLESCENTS S\u2019INTERROGENT \u00ab D\u2019O\u00d9 VIENNENT LES PENS\u00c9ES ? \u00bb", "description": "

Experimenting Thinking in Image Schemas. Teenagers are Wondering \u201cWhere Do Thoughts Come From?\u201d. An intellectual view of philosophy as an activity focusing on understanding abstract concepts and their relationships deprives philosophical exercise of the participation of the body and senses. If we reject the mind-body dualism, as Dewey, Johnson, etc. did, then we are constantly engaged in interactions with the world and others, and can thus consider the act of thinking from our own experiences. Inspired by an experimentalist conception of school and life, as well as the method of inquiry developed by Dewey, the Philosophy for Children program provides an inquiry process that invites participants to conceptualize and reason philosophically in a collaborative manner. Do these practices implement an embodied cognition? To find out, we selected a discussion as a case study and analyzed it based on the observation that the issue to be discussed by the participants - \u201cwhere do thoughts come from?\u201d contains two image schemas: path (come from) and source (where). We have noted a variety and a significant number of expressions (\u201cthey come from within\u201d, \u201cthey come from what happens outside\u201d, etc.) whose analysis enhances a better understanding of how an experience of understanding the origins of our thoughts fits into the discourse and contributes to a collective conceptualization of \u201cthinking\u201d.

", "keywords": ["4. Education", "B1-5802", "image schemas", " perceptual experience", " conceptualisation", " community of philosophical inquiry", " experimentalism.", "Philosophy (General)", "16. Peace & justice", "3. Good health"]}, "links": [{"href": "https://doi.org/10.24193/subbphil.2021.2s.05"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Studia%20Universitatis%20Babe%C8%99-Bolyai%20Philosophia", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.24193/subbphil.2021.2s.05", "name": "item", "description": "10.24193/subbphil.2021.2s.05", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.24193/subbphil.2021.2s.05"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-30T00:00:00Z"}}, {"id": "10261/359343", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:21:59Z", "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": "10.3389/fbioe.2019.00378", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:19:12Z", "type": "Journal Article", "created": "2019-12-04", "title": "Thickness of Polyelectrolyte Layers of Separately Confined Bacteria Alters Key Physiological Parameters on a Single Cell Level", "description": "Confinement of bacterial cells in a matrix or in capsules is an integral part of many biotechnological applications. Here, the well-known layer-by-layer method of deposition of a polyelectrolyte film a few nanometers in thickness to confine separated bacterial cells in permeable and physically durable shells has been examined. Due to the physical properties of such a confinement, we found that this method enables investigation of effects of physical barriers against mass gain and cell division. Using the method of time-lapse confocal microscopy, we observed a prolonged lag phase, dependent on the number of polyelectrolyte layers. In the confinement, both the GFP fluorescent signal from the leaking T7 promoter and the cell size were increased by factors of more than five and two, respectively. This creates a paradigm shift that enables use of mechanical entrapment for control of bacterial cell physiology and opens possibilities of controlling the division rate as well as gene expression. These effects can be attributed to the perturbation of the sensing of the cell size, which results in disproportional synthesis of a cell envelope impinging the intracellular material and compels cells to grow rapidly. In addition, the charged surface of cells enables prolonged intercellular physical interaction and results in spherically shaped microcolonies.", "keywords": ["polyelectrolytes", "0301 basic medicine", "0303 health sciences", "03 medical and health sciences", "layer-by-layer encapsulation", "time-lapse confocal microscopy", " polyelectrolytes", " layer-by-layer encapsulation", " electrostatic interactions", " cell surface modification", "cell surface modification", "Bioengineering and Biotechnology", "electrostatic interactions", "time-lapse confocal microscopy", "TP248.13-248.65", "Biotechnology"]}, "links": [{"href": "https://doi.org/10.3389/fbioe.2019.00378"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Bioengineering%20and%20Biotechnology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fbioe.2019.00378", "name": "item", "description": "10.3389/fbioe.2019.00378", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fbioe.2019.00378"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-12-04T00:00:00Z"}}, {"id": "10.3389/fmicb.2016.01446", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:19:13Z", "type": "Journal Article", "created": "2016-09-14", "description": "Soil management is fundamental to all agricultural systems and fertilization practices have contributed substantially to the impressive increases in food production. Despite the pivotal role of soil microorganisms in agro-ecosystems, we still have a limited understanding of the complex response of the soil microbiota to organic and mineral fertilization in the very long-term. Here, we report the effects of different fertilization regimes (mineral, organic and combined mineral and organic fertilization), carried out for more than a century, on the structure and activity of the soil microbiome. Organic matter content, nutrient concentrations, and microbial biomass carbon were significantly increased by mineral, and even more strongly by organic fertilization. Pyrosequencing revealed significant differences between the structures of bacterial and fungal soil communities associated to each fertilization regime. Organic fertilization increased bacterial diversity, and stimulated microbial groups (Firmicutes, Proteobacteria, and Zygomycota) that are known to prefer nutrient-rich environments, and that are involved in the degradation of complex organic compounds. In contrast, soils not receiving manure harbored distinct microbial communities enriched in oligotrophic organisms adapted to nutrient-limited environments, as Acidobacteria. The fertilization regime also affected the relative abundances of plant beneficial and detrimental microbial taxa, which may influence productivity and stability of the agroecosystem. As expected, the activity of microbial exoenzymes involved in carbon, nitrogen, and phosphorous mineralization were enhanced by both types of fertilization. However, in contrast to comparable studies, the highest chitinase and phosphatase activities were observed in the solely mineral fertilized soil. Interestingly, these two enzymes showed also a particular high biomass-specific activities and a strong negative relation with soil pH. As many soil parameters are known to change slowly, the particularity of unchanged fertilization treatments since 1902 allows a profound assessment of linkages between management and abiotic as well as biotic soil parameters. Our study revealed that pH and TOC were the majors, while nitrogen and phosphorous pools were minors, drivers for structure and activity of the soil microbial community. Due to the long-term treatments studied, our findings likely represent permanent and stable, rather than transient, responses of soil microbial communities to fertilization.", "keywords": ["Soil nutrients", "0301 basic medicine", "2. Zero hunger", "0303 health sciences", "long-term fertilization", "microbial biomass", "15. Life on land", "microbial activity", "Microbiology", "QR1-502", "03 medical and health sciences", "13. Climate action", "soil microbial communities", "soil nutrients", "454 pyrosequencing"]}, "links": [{"href": "https://doi.org/10.3389/fmicb.2016.01446"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Microbiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fmicb.2016.01446", "name": "item", "description": "10.3389/fmicb.2016.01446", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fmicb.2016.01446"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-09-14T00:00:00Z"}}, {"id": "10.3389/fpls.2017.01892", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:19:15Z", "type": "Journal Article", "created": "2017-11-06", "title": "Variability in Susceptibility to Anthracnose in the World Collection of Olive Cultivars of Cordoba (Spain)", "description": "Anthracnose of olive (Olea europaea ssp. europaea L.), caused by Colletotrichum species, is a serious disease causing fruit rot and branch dieback, whose epidemics are highly dependent on cultivar susceptibility and environmental conditions. Over a period of 10 years, there have been three severe epidemics in Andalusia (southern Spain) that allowed us to complete the assessment of the World Olive Germplasm Bank of C\u00f3rdoba, one of the most important cultivar collections worldwide.A total of 308 cultivars from 21 countries were evaluated, mainly Spain (174 cvs.), Syria (29 cvs.), Italy (20 cvs.), Turkey (15 cvs.), and Greece (16 cvs.). Disease assessments were performed using a 0-10 rating scale, specifically developed to estimate the incidence of symptomatic fruit in the tree canopy. Also, the susceptibility of five reference cultivars was confirmed by artificial inoculation. Because of the direct relationship between the maturity of the fruit and their susceptibility to the pathogen, evaluations were performed at the end of fruit ripening, which forced coupling assessments according to the maturity state of the trees. By applying the cluster analysis to the 308 cultivars, these were classified as follows: 66 cvs. highly susceptible (21.4%), 83 cvs. susceptible (26.9%), 66 cvs. moderately susceptible (21.4%), 61 cvs. resistant (19.8%), and 32 cvs. highly resistant (10.4%). Representative cultivars of these five categories are 'Ocal,' 'Lech\u00edn de Sevilla,' 'Arbequina,' 'Picual,' and 'Frantoio,' respectively. With some exceptions, such as cvs. Arbosana, Empeltre and Picual, most of the Spanish cultivars, such as 'Arbequina,' 'Cornicabra,' 'Hojiblanca,' 'Manzanilla de Sevilla,' 'Morisca,' 'Picudo,' 'Farga,' and 'Verdial de Hu\u00e9var' are included in the categories of moderately susceptible, susceptible or highly susceptible. The phenotypic evaluation of anthracnose reaction is a limiting factor for the selection of olive cultivars by farmers, technicians, and breeders.", "keywords": ["0301 basic medicine", "2. Zero hunger", "anthracnose", "0303 health sciences", "Plant culture", "Plant Science", "15. Life on land", "16. Peace & justice", "olive", "diseases", "SB1-1110", "03 medical and health sciences", "fruit rot", "Colletotrichum"], "contacts": [{"organization": "J. R. Viruega, Luis F. Roca, Carlos Xavi\u00e9r, Juan Caballero, Antonio Trapero, Juan Moral, Juan Moral,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.3389/fpls.2017.01892"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Plant%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fpls.2017.01892", "name": "item", "description": "10.3389/fpls.2017.01892", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fpls.2017.01892"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-11-06T00:00:00Z"}}, {"id": "10.3390/land10111199", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:19:23Z", "type": "Journal Article", "created": "2021-11-07", "title": "Quantifying Cereal Productivity on Sandy Soil in Response to Some Soil-Improving Cropping Systems", "description": "

Little information is available on the effect of soil-improving cropping systems (SICS) on crop productivity on low fertility sandy soils although they are increasingly being used in agriculture in many regions of the world due to the growing demand for food. The study aimed at quantifying the effect of four soil-improving cropping systems applied on sandy soil on cereal productivity (yield of grain and straw and plant height) in a 4-year field experiment conducted in Poland with spring cereal crops: oat (2017), wheat (2018), wheat (2019), and oat (2020). The experiment included the control (C) and the following SICS: liming (L), leguminous catch crops for green manure (LU), farmyard manure (M), and farmyard manure + liming + leguminous catch crops for green manure together (M + L + LU). To quantify the effect of the SICS, classic statistics and the Bland\u2013Altman method were used. It was shown that all yield trait components significantly increased in the last study year (2020) under SICS with M and M + L + LU. All yield trait components were significantly lower in the dry years (2018\u20132019) than in the wet years (2017 and 2020). The relatively large rainfall quantity in May during intensive growth at shooting and the scarce precipitation during later growth in the dry year 2019 resulted in a significantly greater straw yield compared to the other dry year 2018. The values of Bland\u2013Altman bias (mean difference between the particular SICS and the control) varied (in kg m\u22122) from \u22120.002 for LU in 2019 to 0.128 for M and 0.132 for M + L + LU in 2020. The highest limits of agreement (LoA) were in general noted for all yield trait components (the least even yield) in the most productive SICS including M and M + L + LU in the wet year 2020. The Bland\u2013Altman ratio (BAR) values indicate that quantification of the effects of all soil-improving practices was most uncertain in the dry year 2018 for the grain yield and in the wet year 2020 for the straw yield and much less uncertain for the plant height in all SICS and study years. The results of this study provide helpful information about the effect of the SICS on the different yield trait components depending on the period of their application and weather conditions prevailing during the growing season.

", "keywords": ["2. Zero hunger", "Bland\u2013Altman statistics", "S", "soil improving practices", "0401 agriculture", " forestry", " and fisheries", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "Podzol soil", "crop response", "weather conditions"]}, "links": [{"href": "http://www.mdpi.com/2073-445X/10/11/1199/pdf"}, {"href": "https://doi.org/10.3390/land10111199"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/land10111199", "name": "item", "description": "10.3390/land10111199", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/land10111199"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-05T00:00:00Z"}}, {"id": "10.3390/su12051962", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:19:30Z", "type": "Journal Article", "created": "2020-03-04", "title": "Transitioning European Protein-Rich Food Consumption and Production towards More Sustainable Patterns\u2014Strategies and Policy Suggestions", "description": "

Global and European diets have shifted towards greater consumption of animal proteins. Recent studies urge reversals of these trends and call for a rapid transition towards adoption of more plant-based diets. This paper explored mechanisms to increase the production and consumption of plant-proteins in Europe by 2030, using participatory backcasting. We identified pathways to the future (strategies), as well as interim milestones, barriers, opportunities and actions, with key European stakeholders in the agri-food chain. Results show that four strategies could be implemented to achieve the desired future: increased research and development, enriched consumer education and awareness, improved and connected supply and value chains and public policy supports. Actions needed to reach milestones were required immediately, reinforcing the need for urgent actions to tackle the protein challenge. This study concretely detailed how idealized dietary futures can be achieved in a real-world context. It can support EU protein transition by informing policy makers and the broader public on potential ways to move towards a more sustainable plant-based future. The outputs of this analysis have the potential to be combined with dietary scenarios to develop more temporally explicit models of future dietary changes and how to reach them.

", "keywords": ["future", "2. Zero hunger", "Agricultura", "pathways", "food security", "01 natural sciences", "stakeholders", "Econom\u00eda", "12. Responsible consumption", "sustainable agriculture", "meat substitutes", "Medio Ambiente", "plant protein", "13. Climate action", "backcasting", "value chain", "meat substitution", "europe", "diet", "plant proteins", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/12/5/1962/pdf"}, {"href": "https://www.mdpi.com/2071-1050/12/5/1962/pdf"}, {"href": "https://doi.org/10.3390/su12051962"}, {"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/su12051962", "name": "item", "description": "10.3390/su12051962", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su12051962"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-04T00:00:00Z"}}, {"id": "10.3390/su17031093", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:19:30Z", "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": "

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.

", "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": "2026-09-22T16:19:31Z", "type": "Journal Article", "created": "2020-08-03", "title": "Soil Moisture Estimation Using Citizen Observatory Data, Microwave Satellite Imagery, and Environmental Covariates", "description": "

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.

", "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": "2026-09-22T16:19:37Z", "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": "10449/91579", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:22:03Z", "type": "Journal Article", "created": "2025-07-22", "title": "The blueberry phyllosphere microbiota: tissue-specific core communities and their stability across cultivars and years", "description": "Blueberries are critical for food production due to their widespread consumption and nutritional value. Beyond agriculture, wild Vaccinium species play essential ecological roles, including supporting pollinators and enhancing soil health. This dual importance underscores their relevance to both food security and ecosystem sustainability. The fruit-associated microbiome, both internal and surface-dwelling, includes a wide range of microorganisms. These microbial communities play a dual role: they influence fruit quality (e.g., taste, texture, shelf life) and are also involved in the degradation processes that occur during fruit senescence or postharvest storage.\u201d. Despite their importance, the specific factors shaping the microbiomes of blueberry fruits, as well as their relationship with other above-ground parts of the plant and their stability over different years, remain poorly understood. We conducted a field experiment to characterize the taxonomic composition of fungal and bacterial communities colonizing the leaves and the surface and pulp of fruits on a collection of 10 different cultivars of blueberry over two years. Independently from the sampling time, pulp of the fruit, surface and leaves harbor specific and distinct microbiomes. A major factor determining the microbiome of blueberry fruits and leaves was plant cultivar, followed by tissue. We further identified the core microbiome for each plant tissue and demonstrated that core taxa account for the dominant fraction of the microbiota of each plant. As trade and production of blueberries is expanding, our results provide a foundation for advancing the development of targeted microbiome management strategies, with potential applications in enhancing plant health and productivity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-025-06871-6.", "keywords": ["Bacteria", "Plant microbiome", "Research", "Metabarcoding", "Fungi", "Climate change", "Network analysis", "Core microbiome", "Biodiversity"]}, "links": [{"href": "https://openpub.fmach.it/bitstream/10449/91579/1/2025%20BMC%20PB%20Donati.pdf"}, {"href": "https://doi.org/10449/91579"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/BMC%20Plant%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10449/91579", "name": "item", "description": "10449/91579", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10449/91579"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-22T00:00:00Z"}}, {"id": "10.5061/dryad.h3r16", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:19:46Z", "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": "2026-09-22T16:19:47Z", "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": "2026-09-22T16:19:49Z", "type": "Dataset", "created": "2024-06-19", "title": "Data from: Competition between mixo- and heterotrophic ciliates under dynamic resource supply", "description": "unspecifiedThe outcome of species competition strongly depends on the traits of the competitors and associated trade-offs, as well as on environmental variability. Here we investigate the relevance of consumer trait variation for species coexistence in a ciliate consumer \u2013 microalgal prey system under fluctuating regimes of resource supply. We focus on consumer competition and feeding traits, and specifically on the consumer\u2019s ability to overcome periods of resource limitation by mixotrophy, i. e. the ability of photosynthetic carbon fixation via algal symbionts in addition to phagotrophy. In a 48-day chemostat experiment, we investigated competitive interactions of different heterotrophic and mixotrophic ciliates of the genera Euplotes and Coleps under different resource regimes, providing prey either continuously or in pulses under constant or fluctuating light, entailing periods of resource depletion in fluctuating environments, but overall providing the same amount of prey and light. Although ultimate competition results remained unaffected, population dynamics of mixotrophic and heterotrophic ciliates were significantly altered by resource supply mode. However, the effects differed among species combinations and changed over time. Whether mixotrophs or heterotrophs dominated in competition strongly depended on the genera of the competing species and thus species-specific differences in the minimum resource requirements that are associated with feeding on shared prey, nutrient uptake, light harvesting and access to additional resources such as bacteria. Potential differences in the curvature of the species\u2019 resource-dependent growth functions may have further mediated the species-specific responses to the different resource supply modes. Overall, our study demonstrates that genus- or species-specific traits other than related to nutritional mode may override the relevance of acquired phototrophy by heterotrophs in competitive interactions, and that the potential advantage of photosynthetic carbon fixation of symbiont-bearing mixotrophs in competition with pure heterotrophs may differ greatly among different mixotrophs, playing out under different environmental conditions and depending on the specific requirements of the species. Complex trophic interactions determine the outcome of competition, which can only be understood by taking on a multidimensional trait perspective.", "keywords": ["Ciliates", "mixotrophy", "FOS: Biological sciences", "coexistence", "resource fluctuations", "microalgae-ciliate symbiosis"], "contacts": [{"organization": "Fl\u00f6der, Sabine, Klauschies, Toni, Klaassen, Moritz, Stoffers, Tjardo, Lambrecht, Max, Moorthi, Stefanie,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.wh70rxwww"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.wh70rxwww", "name": "item", "description": "10.5061/dryad.wh70rxwww", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.wh70rxwww"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-23T00:00:00Z"}}, {"id": "10.5194/acp-10-7017-2010", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:19:50Z", "type": "Journal Article", "created": "2010-04-29", "description": "

Abstract. We present and discuss a new dataset of gridded emissions covering the historical period (1850\uffe2\uff80\uff932000) in decadal increments at a horizontal resolution of 0.5\uffc2\uffb0 in latitude and longitude. The primary purpose of this inventory is to provide consistent gridded emissions of reactive gases and aerosols for use in chemistry model simulations needed by climate models for the Climate Model Intercomparison Program #5 (CMIP5) in support of the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5). Our best estimate for the year 2000 inventory represents a combination of existing regional and global inventories to capture the best information available at this point; 40 regions and 12 sectors are used to combine the various sources. The historical reconstruction of each emitted compound, for each region and sector, is then forced to agree with our 2000 estimate, ensuring continuity between past and 2000 emissions. Simulations from two chemistry-climate models is used to test the ability of the emission dataset described here to capture long-term changes in atmospheric ozone, carbon monoxide and aerosol distributions. The simulated long-term change in the Northern mid-latitudes surface and mid-troposphere ozone is not quite as rapid as observed. However, stations outside this latitude band show much better agreement in both present-day and long-term trend. The model simulations indicate that the concentration of carbon monoxide is underestimated at the Mace Head station; however, the long-term trend over the limited observational period seems to be reasonably well captured. The simulated sulfate and black carbon deposition over Greenland is in very good agreement with the ice-core observations spanning the simulation period. Finally, aerosol optical depth and additional aerosol diagnostics are shown to be in good agreement with previously published estimates and observations.

", "keywords": ["info:eu-repo/classification/ddc/550", "550", "IPCC", "[SDE.MCG]Environmental Sciences/Global Changes", "Physics", "QC1-999", "emissions", "551", "01 natural sciences", "7. Clean energy", "J", "[SDE.MCG] Environmental Sciences/Global Changes", "Chemistry", "13. Climate action", "[SDE.ES] Environmental Sciences/Environment and Society", "CMIP5", "[SDE.ES]Environmental Sciences/Environment and Society", "QD1-999", "AR5", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://pure.iiasa.ac.at/id/eprint/9279/1/acp-10-7017-2010.pdf"}, {"href": "http://pure.iiasa.ac.at/id/eprint/9279/1/acp-10-7017-2010.pdf"}, {"href": "https://doi.org/10.5194/acp-10-7017-2010"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/acp-10-7017-2010", "name": "item", "description": "10.5194/acp-10-7017-2010", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/acp-10-7017-2010"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-02-19T00:00:00Z"}}, {"id": "10.5194/bg-15-1933-2018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:19:52Z", "type": "Journal Article", "created": "2017-11-21", "title": "Straw incorporation increases crop yield and soil organic carbon sequestration but varies under different natural conditions and farming practices in China: a system analysis", "description": "

Abstract. Loss of soil organic carbon (SOC) from agricultural soils is a key indicator of soil degradation associated with reductions in net primary productivity in crop production systems worldwide. Simple technical and locally appropriate solutions are required for farmers to increase SOC and to improve cropland management. In the last 30 years, straw incorporation has gradually been implemented across China in the context of agricultural intensification and rural livelihood improvement. A meta-analysis of data published before the end of 2016 was undertaken to investigate the effects of straw incorporation on crop production and SOC sequestration. The results of 68 experimental studies throughout China in different edaphic, climate regions and under different farming regimes were analyzed. Compared with straw removal, straw incorporation significantly sequestered SOC (0\uffe2\uff80\uff9320\uffe2\uff80\uff89cm depth) at the rate of 0.35 (range 0.31\uffe2\uff80\uff930.40)\uffe2\uff80\uff89Mg C\uffe2\uff80\uff89ha\uffe2\uff88\uff921\uffe2\uff80\uff89yr\uffe2\uff88\uff921, increased crop grain yield by 13.4\uffe2\uff80\uff89% (range 9.3\uffe2\uff80\uff89%\uffe2\uff80\uff9318.4\uffe2\uff80\uff89%) and had a conversion efficiency of the applied straw-C as 16\uffe2\uff80\uff89%\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff892\uffe2\uff80\uff89% across the whole of China. The combined straw incorporation at the rate of 3\uffe2\uff80\uff89Mg C\uffe2\uff80\uff89ha\uffe2\uff88\uff921\uffe2\uff80\uff89yr\uffe2\uff88\uff921 with mineral fertilizer of 200\uffe2\uff80\uff93400\uffe2\uff80\uff89kg N\uffe2\uff80\uff89ha\uffe2\uff88\uff921\uffe2\uff80\uff89yr\uffe2\uff88\uff921 was demonstrated to be the best combination for farmers to use with crop yield increased by 32.7\uffe2\uff80\uff89% (range 17.9\uffe2\uff80\uff89%\uffe2\uff80\uff9356.4\uffe2\uff80\uff89%) and SOC sequestrated by the rate of 0.85 (range 0.54\uffe2\uff80\uff931.15)\uffe2\uff80\uff89Mg C\uffe2\uff80\uff89ha\uffe2\uff88\uff921\uffe2\uff80\uff89yr\uffe2\uff88\uff921. Straw incorporation achieved higher SOC sequestration rate and crop yield increment when applied to clay soils, under high cropping intensities, and in areas like Northeast China where the soil is being degraded. SOC responses were the greatest in the initial starting phase of straw incorporation and then declined and finally were negligible after 28\uffe2\uff80\uff9362 years, however, crop yield responses were initially low and then increased reaching their highest level at 11\uffe2\uff80\uff9315 years after straw incorporation. Overall, our study confirmed that straw incorporation did create a positive feedback loop of SOC enhancement together with increased crop production, and this is of great practical significance to straw management as agricultural intensifies in China and other regions in the world with different climate conditions.

", "keywords": ["2. Zero hunger", "QE1-996.5", "info:eu-repo/classification/ddc/550", "Ecology", "Life", "QH501-531", "0401 agriculture", " forestry", " and fisheries", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "QH540-549.5"]}, "links": [{"href": "https://doi.org/10.5194/bg-15-1933-2018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-15-1933-2018", "name": "item", "description": "10.5194/bg-15-1933-2018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-15-1933-2018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-11-21T00:00:00Z"}}, {"id": "10.5194/egusphere-egu2020-19498", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:19:56Z", "type": "Report", "created": "2020-03-10", "title": "Urban carbon dioxide flux monitoring using Eddy Covariance and Earth Observation: An introduction to diFUME project", "description": "

&lt;p&gt;Monitoring CO&lt;sub&gt;2&lt;/sub&gt; emissions originating from urban areas has become a necessity to support sustainable urban planning strategies and climate change mitigation efforts. Integrative decision support, where net effects of various emission/sink components are considered and compared, is now an increasingly relevant part of urban planning processes. The current emission inventories rely on indirect approaches that use fuel and electricity consumption statistics for determining CO&lt;sub&gt;2&lt;/sub&gt; emissions. The consistency of such approaches is questionable and they usually neglect the contribution of the biogenic components of the urban carbon cycle (i.e. vegetation, soil). Moreover, their spatial and temporal scales are restricted because consumption statistics are often available in coarse spatial scales (national, provincial/state, municipal) and usually scaled down using proxy data (e.g. population density) to city-scale annual estimates. The diFUME project (https://mcr.unibas.ch/difume/) is developing a methodology for mapping and monitoring the actual urban CO&lt;sub&gt;2&lt;/sub&gt; flux at optimum spatial and temporal scales, meaningful for urban design decisions. The goal is to develop, apply and evaluate independent models, capable to estimate all the different components of the urban carbon cycle (i.e. building emissions, traffic emissions, human metabolism, photosynthetic uptake, plant respiration, soil respiration), combining mainly Eddy Covariance (EC) with Earth Observation (EO) data. EC provides continuous in-situ measurements of CO&lt;sub&gt;2&lt;/sub&gt; flux at the local scale. Processing, analysis and interpretation of urban EC measurements is challenging due to the inherent spatial complexity of CO&lt;sub&gt;2&lt;/sub&gt; source and sink configurations of the urban structure. The diFUME methodology is using multiple EO datasets to achieve multi-scale monitoring of urban cover, morphology and vegetation phenology in order to characterize the urban source/sink configurations and parameterize turbulent flux source area models. Such combination of EC and EO provides enhanced interpretation of the measured CO&lt;sub&gt;2&lt;/sub&gt; flux, analysis of its controlling factors and therefore the potential of fine scale mapping and monitoring. The diFUME methodology is being developed and applied in the city of Basel, exploiting the available long-term database (&gt; 15 years) of urban EC measurements. The first results highlight the potential of EO-derived geospatial data to interpret the complexity of urban EC measurements. Seasonal and land cover related trends in the EC-measured CO&lt;sub&gt;2&lt;/sub&gt; flux are recognized, while the use of environmental, census and mobility datasets are increasing the interpretation capabilities and the modelling potential of the urban CO&lt;sub&gt;2&lt;/sub&gt; flux patterns.&lt;/p&gt;

", "keywords": ["diFUME", "13. Climate action", "11. Sustainability", "urban carbon dioxide flux", "15. Life on land", "7. Clean energy", "6. Clean water", "12. Responsible consumption"]}, "links": [{"href": "https://doi.org/10.5194/egusphere-egu2020-19498"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/egusphere-egu2020-19498", "name": "item", "description": "10.5194/egusphere-egu2020-19498", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/egusphere-egu2020-19498"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-23T00:00:00Z"}}, {"id": "10.5281/zenodo.10060810", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:20:03Z", "type": "Dataset", "title": "SoilCompDB: Global soil compressive properties database. Version 1.0", "description": "Data collection and processing Our data collection comprised published journal articles sourced from Web of Science and Scopus databases, using search terms such as 'soil precompression stress,' 'soil compression index,' 'soil compaction index,' 'soil recompression index,' 'soil swelling index,' 'soil precompaction stress,' and 'preconsolidation pressure' for articles published up to February 2022. \u00a0A total of 1235 publications were found. Duplicate records were eliminated using the Endnote Web citation management application. The remaining references were exported to Rayyan software for title and abstract screening based on predefined criteria for full-text selection. \u00a0After a careful review, we identified 128 papers where the data on soil compressive properties (precompression stress, compression index, and swelling index) were reported in numerical format or legible graphical format and considered suitable for inclusion in the database. \u00a0We employed the WebPlotDigitizer software to extract data from figures within the original publications. For each chosen study, we systematically recorded data concerning soil compressive properties and collected information on soil properties, soil conditions, site characteristics, and experimental settings. We compiled 4,743 individual data entries. Time and place The database includes data from 128 independent studies published between 1992 and 2021. Each study reported between 1 and 360 measurements, with a study median of 14 measurements and a mean of 38 measurements, totalling 4743 database entries. Our database includes data from 20 countries, with a significant concentration of the data originating from Brazil, followed by Germany, Switzerland, Sweden, and Denmark. The majority of the data came from arable soils, representing approximately 72% of data entries.\u00a0\u00a0 Instruments The soil compressive properties included in the database were based on soil compressive tests performed in the laboratory by uniaxial method. The procedure used for stress application on soil samples was mainly the stepwise stress application method, while the constant strain rate method was applied in few studies (less than 2% of the data). The component of the compressive curve related to the soil packing state was represented by soil bulk density, void ratio, and strain. The stress component of the curve was represented in a logarithmic form in the entirety of the database. The database also comprised eight different methods for calculating precompresion stress: Casagrande (1936), Dias Junior and Pierce (1995), Lamand\u00e9 et al. (2017), Sullivan and Robertson (1996), Casini (2012), Culley and Larson (1987), Pacheco Silva (1990), Gregory et al. (2006). Resources Web of Science, Scopus \u2013 literature search Endnote Web \u2013 removal of duplicates Rayyan software \u2013 initial paper selection based on title and abstract WebPlotDigitizer \u2013 data extraction from figures Microsoft Access \u2013 database platform Description of the collected data (column, unit, and description) Sample ID-\u00a0\u00a0\u00a0 A unique identification number assigned to each individual sample within the database\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Study ID- Identification number assigned to each research study in the database Reference - Research paper reference Year - Year of research paper publication \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Language - Language of the research paper \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Soil classification (SiBCS) - Soil Classification according to the Brazilian System (SiBCS), as described in portuguese-language papers Soil classification (original in paper) - Soil classification described in research paper\u00a0 Soil classification (convertion to Soil Taxonomy orders) -\u00a0 Soil classification aligned with the Soil Taxonomy system developed by the United States Department of Agriculture (USDA)\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Location - Study location country\u00a0\u00a0\u00a0 Texture classification (USDA) -\u00a0Soil textural classification according USDA Texture\u00a0 classification USDA (letter code) - Letter code for soil textural classification according USDA: S=sand; LS=loamy sand; SL=sandy loam; SiL=silt loam; Si=silt; L=loam; SCL= Sandy clay loam; SiCL=Silty clay loam; CL=clay loam; SC=Sandy clay; SiC=Silty clay; C=clay Clay (USDA) - % - Soil clay content (weight based) - (<0.002 mm) \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Silt (USDA) - % - Soil silt content (weight based) - (0.002 < x < 0.05 mm, interpolated for European samples where needed using the k-nearest neighbor technique by Nemes et al. 2006)\u00a0 Sand (USDA) - % - Soil sand content (weight based)\u00a0 - (0.05 < x < 2 mm, interpolated for European samples where needed using the k-nearest neighbor technique by Nemes et al. 2006) USDA PSD interpolated - =0 if the data was NOT interpolated; =1 if the data was interpolated Published texture class - Texture classification provided in the source publication when the values for clay, silt and sand were not available Clay - g kg-1 - Soil clay content - original in the paper Clay class upper boundary - \u00b5m - The clay class upper boundary informed in source publication Silt - g kg-1 - Silt clay content - original in the paper Silt class upper boundary - \u00b5m - The silt class upper boundary informed in source publication Sand - Soil sand content - original in the paper Sand class upper boundary - \u00b5m - The sand class upper boundary informed in source publication Particle size data flag - =0 if no issues; =1 if there are issues (summing) Sum particle size- g kg-1 - Sum of clay, silt, and sand content Soil depth FROM \u2013 cm - When soil depth is presented as a range (e.g., 0-10cm), it indicates the minimum depth at which soil samples were collected\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Soil depth TO \u2013 cm - When soil depth is presented as a range (e.g., 0-10cm), it indicates the maximum depth at which soil samples were collected\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Depth \u2013 cm -Specific depth value as presented in paper, or when soil depth is showed as a range (e.g., 0-10cm), it indicates the average depth at which soil samples were collected (e.g 5cm) \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 SOC - g kg-1 - Soil organic carbon content informed in research paper or soil organic carbon content calculate from soil organic matter content by multiplying by 0,58\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 SOC converted from SOM - 1= yes for soil organic carbon derived from soil organic matter content calculations Particle density - Mg m-3 - Soil particle density\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Initial matric potential \u2013 hPa - Soil water matric potential before loading log Initial matric potential - Soil water matric potential expressed by log\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Wetness (based on initial matric potential) - \u00a01=if initial matric potential (MP)<100 hPa; 2= if 100<=initial MP<1000 hPa; 3= initial MP>=1000 hPa Initial gravimetric water content - g g-1 - Gravimetric soil water content before loading provided by source publication, or calculated by volumetric water content divided by soil bulk density Initial volumetric water content - m3 m-3 - Volumetric soil water content before loading, when the soil bulk density was not reported Initial water content data source -\u00a0Graph or table from where the data was collected, or explanation on calculation used Matric potential type - Compressive tests performed on soil samples under different conditions: 1= equilibrated at matric potential; 2= field matric potential; 3= air-dried samples\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Initial bulk density - Mg m-3 - Soil bulk density before loading\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Initial BD data source - Graph or table from where the data was collected, or explanation on calculation used\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Initial volumetric water content calculated - m3 m-3 - Soil volumetric water content calculated by multiplying soil gravimetric water content by soil bulk density Precompression stress \u2013 kPa - Precompression stress \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Precompression stress (SD) \u2013 kPa - Standard deviation for precompression stress values reported in paper\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Precompression stress data source - Graph or table from where the data was collected, or explanation on calculation used Compression index - Compression index \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Compression index (SD) - Standard deviation of compression index values reported in paper\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Compression index data source - Graph or table from where the data was collected, or explanation on calculation used Swelling index - Swelling index\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Swelling index (SD) - Standard deviation of swelling index values reported in paper\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Swelling index data source - Graph or table from where the data was collected, or explanation on calculation used N -\u00a0Number of replicates used for calculating precompression stress, compression index, and swelling index when mean values are reported Land use (paper) -\u00a0Land use described in the research paper Land use (categories) -\u00a0Land use categorized Land use standardized -\u00a0Land use classified as: arable, forest, grassland, and native vegetation. The latter includes forest, grassland, and savanna Land use (number code) -\u00a0Number code for land use: 1=Arable, 2= forest, 3= grassland, and 4= native vegetation Tillage system -\u00a0Tillage system Tillage system (arable soils) - Tillage system for arable soils classified as 'conventional' and 'conservation' Coordinates -\u00a0\u00a0Geographical coordinates\u00a0 of study location Climate -\u00a0Climatic region classification: temperate, tropical, subtropical Climatecod -\u00a0\u00a0\u00a0 Code number assigned to each climatic region: 1=temperate, 2=tropical, 3=subtropical Sampling position (paper) -\u00a0Field position where soil samples were collected with details described in the paper Sampling position -\u00a0Field position where soil samples were collected standardized Treatment -\u00a0Experimental treatment type where the soil samples were collected Stress rate - \u00a0kPa - Stress applied in compressive tests\u00a0 Minimum stress \u2013\u00a0kPa - Minimum stress applied in compressive tests Maximum stress \u2013\u00a0kPa - Maximum stress applied in compressive tests Number of stress rate steps -\u00a0Number of steps in stepwise stress application procedure Stess application type -\u00a01=Stepwise stress 2=one sample per stress 3=Strain controlled Stess application type \u2013\u00a0min - Time for stress application in each step in stepwise stress application procedure Degree of deformation at the end of loading -\u00a0% - Degree of deformation at the end of compressive test Sample diameter \u2013\u00a0cm - Diameter of the soil samples Sample height \u2013\u00a0cm - Height of the soil samples Ratio sample diameter and height\u00a0-\u00a0Ratio between diameter and height of the soil samples Sample volume -\u00a0cm3 -Sample volume when the sample diameter and height are nor presented Precompression stress calculation method -\u00a0Calculation method of precompression stress Precompression stress calculation method (number code) -\u00a0Number code for calculation method PC:1=Casagrande (1936); 2=Dias Junior and Pierce (1995); 3= Lamand\u00e9 et al. (2017); 4=O`Sullivan and Robertson (1996); 5=Casini (2012); 6=Culley and Larson (1987);7=ABNT (1990); 8=Gregory et al. (2006) Description of precompression stress calculation -\u00a0Brief explanation of precompression stress calculation Soil compressive curve components -\u00a0Component of the soil compression curve related to the soil packing state: soil bulk density, void ratio, and strain.\u00a0 Soil compressive curve components (number code) -\u00a0Number code for component of the soil compressive curve related to the soil packing state: 1= soil bulk density; 2= strain; 3= void ratio Curve components source -\u00a0Source of the component of the soil compressive curve related to the soil packing state: 1= showed in the paper, 2= according to original method for precompression stress calculation, 3= described in method, but not clear in the paper Compressive curve available -\u00a0Original soil compressive curve available in the paper: 1= No 2=Yes Comments -\u00a0Brief comments on the paper Issues and remarks We sought out important information not included in the paper by directly communicating with the authors whenever possible. In cases where multiple papers covered the same experiment, we prioritized the one offering more comprehensive details. If two papers complemented each other, we included both. When analyzing studies comparing various methods for calculating soil precompression stress, we exclusively gathered data calculated using the widely accepted Casagrande (1936) method. To ensure comparability across studies, we standardized the collected data by converting it to the same unit. The standardization process involved: i) assuming that 58% of soil organic matter (SOM) was soil organic carbon (SOC) when only SOM was reported, ii) calculating soil bulk density using a soil particle density of 2.65 Mg m-3 when only total porosity data were provided, and iii) harmonizing all texture data to the USDA classification system, which defines the silt/sand boundary as 50 \u03bcm, utilizing the k-nearest neighbor approach (referred to as 'similarity method' by Nemes et al. (1999). \u00a0 Reference Associa\u00e7\u00e3o Brasileira de Normas T\u00e9cnicas - ABNT. NBR 12007: Ensaio de adensamento unidimensional. Rio de Janeiro: 1990. Casagrande, A., 1936. Determination of the preconsolidation load and its practical significance. In: Proceedings of the International Conference on Soil Mechanics and Foundation Engineering, vol. III, Harvard University, Cambridge, MA, pp. 60\u201364.Casini, F. 2012. Deformation induced by wetting: A simple model. Can. Geotech. J. 49:954\u2013960 10.1139/T2012-054. doi:10.1139/t2012-054 Culley, J.L.B., Larson, W.E., 1987. Susceptibility to compression of a clay loam Haplaquoll. Soil Sci. Soc. Am. J. 51, 562\u2013567. Dias Junior, M.S., Pierce, F.J., 1995. A simple procedure for estimating preconsolidation pressure from soil compression curves. Soil Technology 8, 139\u2013151. doi:10.1016/0933-3630(95)00015-8 Gregory, A.S., Whalley, W.R., Watts, C.W., Bird, N.R.A., Hallett, P.D., Whitmore, A.P., 2006. Calculation of the compression index and pre-compression stress from soil compression test data. Soil Till Res. 89:45-57. doi:10.1016/j.still.2005.06.012 Lamand\u00e9, M., Schj\u00f8nning, P., Labouriau, R., 2017. A novel method for estimating soil precompression stress from uniaxial confined compression tests. Soil Sci. Soc. Am. J. 81 https://doi.org/10.2136/sssaj2016.09.0274. Nemes, A., \u00a0W\u00f6sten, J.H.M., Lilly, A., \u00a0Oude Voshaar, J.H., 1999. Evaluation of different procedures to interpolate the cumulative particle-size distribution to achieve compatibility within a soil database.\u00a0Geoderma 90: 187-202. 129\u00a0 O'Sullivan, M.F., Robertson, E.A.G., 1996. Critical state parameters from intact samples of two agricultural topsoils. Soil Tillage Res 39(3 \u2013 4):161 \u2013 173.", "keywords": ["2. Zero hunger", "soil compression curve", "precompression stress", "15. Life on land", "soil mechanical properties", "compression index", "soil moisture", "uniaxial compression test", "swelling index"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10060810"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10060810", "name": "item", "description": "10.5281/zenodo.10060810", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10060810"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-11-06T00:00:00Z"}}, {"id": "10.5281/zenodo.10065971", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:20:03Z", "type": "Dataset", "title": "Database of topsoil chemical and physical properties in Croatia", "description": "Sources Data for database is collected from four main sources:\u00a0 Data published in book 'Martinovi\u0107, J. and Vrankovi\u0107, A. (Editors), 1997. Baza podataka o hrvatskim tlima, I. Dr\u017eavna uprava za za\u0161titu prirode i okoli\u0161a, Zagreb' labeled as 'martinovic_1997' in the database. This source consists of 2199 pedological profiles sampled from 1963 to 1996, most of which include depth to bedrock information. Data from project: 'Spatial variability of trace and toxic metals in agricultural soils of Croatia', Ministry of Science and Education and Croatian Waters. Project leader: prof.dr.sc. Marija Romi\u0107 from Faculty of Agriculture, Zagreb, labeled as 'agricultural_2013'. Data are sampled from 'database of properties and quality of agricultural soils of Croatia' on 8x8 km grid and consists only from top soil samples (0-30 cm). There are 811 samples in this database. Data from the the project: 'Change in soil carbon stocks and calculation of trends in total nitrogen and organic carbon in soil and C: N ratio', from Ministry of Environmental Protection and Energy, carried on by Croatian Geological Institute (HGI), the Croatian Forestry Institute (H\u0160I) and the Agricultural Land Agency (APZ). This dataset consists of two subsets: 'azo_2013' - 2519 samples of topsoil (0-25 cm), from 1994 to 2004 for making of Geochemistry Atlas of Croatia 'azo_2016' - 742 locations were revisited during 2015-2016 and new samples are taken and analyzed in horizons 0-10 cm, 10-20 cm, 20-30 cm. Network of piezometers Description of sources\u00a0 Martinovi\u0107, J. and Vrankovi\u0107, A. (Editors), 1997. Baza podataka o hrvatskim tlima (Database of Croatian Soils)\u00a0 The database contains data on soil profiles and covers the total area of the Republic of Croatia. Only data accepted by external control are entered in the Database, as well as those profiles for which there is a minimum data. External control of data reliability was performed by comparing the genetical-morphological characteristics of the soil determined by field research and the data of laboratory soil analyses. The profiles for which the field and laboratory analyses are found to differ are rejected. In addition to data on soil properties, basic data on pedogenetic factors are given. The soil profiles surveyed in the period 1963-1996 are entered in the database. The majority of data come from the Basic Pedological Map of Croatia (Osnovna pedolo\u0161ka karta Hrvatske - OPKH) project. The following are entered in the Database: 1347 profiles in volume I and 851 profiles in volume II, a total of 2198 pedological profiles Spatial variability of trace and toxic metals in agricultural soils of Croatia, Project Leader: Marija Romi\u0107\u00a0 The problem of exposure of agricultural soils to different anthropogenic inputs of toxic metals, but also of other potentially toxic substances, has acquired global dimensions in the last decades. Besides atmospheric deposition, environmental dispersion of chemicals used in agriculture is an important factor directly affecting the natural soil functions, or indirectly endangering the biosphere by bioaccumulation and inclusion into the food chain. Metal concentrations in soil can be generally predicted starting with the element abundance in the parent material. The extent to which pedogenesis affects heavy metals distribution varies according to the prevailing factors affecting soil processes. Because of the toxicity to plants and animals, it is important to determine their content, forms and distribution. Such hypotheses may be tested by total metal content determination, as well as other elements relevant for geochemical valorization of the agricultural soils of Croatia. Thus, the spatial variability and baseline of elements in soils will be determined by means of relevant statistical and geostatistical methods. The maps of toxic metal distribution will be produced and the suitability of soils for agriculture will be assessed. GIS is increasingly used in environmental assessment studies because of its ability to superimpose different spatial information and to combine them with the results of statistical analysis, enabling thus the detection of complex spatial relationships among different parameters. Geostatistics and multivariate statistics has been widely used in geochemical studies to identify pollution sources and to apportion natural vs. anthropogenic contribution, establishing a geochemical background as well. The main objectives of the investigation are: (i) to provide a geochemical database relevant to the agricultural soils in Croatia; (ii) to provide a detailed information about the natural variability of the geochemical background which is pertinent to administrative and legal issues as well as to safety food production and environmental protection; (iii) presenting the influence of human and other environmental activities on the soil quality mainly regarding the toxic and trace metal contents, and (iv) we are going to observe the influence of natural conditions on regional differences which have been widely neglected so far, and have not been taken into account while national regulations and guidelines on soil toxic metal contents have been established. Change in soil carbon stocks and calculation of trends in total nitrogen and organic carbon in soil and C: N ratio\u00a0 The project is funded by the Fund for Environmental Protection and Energy Efficiency within the Program 'Upgrading and Development of the Environmental Information System and Improving the Monitoring and Reporting System on the State of the Environment in the Republic of Croatia', Component 2: Improving the Monitoring and Reporting System on the State of the Environment Croatia; improving the system of data collection and exchange and developing methodologies for their processing in accordance with the guidelines of the UNFCCC and the Kyoto Protocol defined by the IPCC (Intergovernmental Panel on Climate Change).\u00a0 The project holder is the Ministry of Environmental Protection and Energy, and the executors are the Croatian Geological Institute, the Croatian Forestry Institute and the Agricultural Land Agency. In the period 2014-2017, field and laboratory research of soil conditions was conducted at 725 representative locations. General data on the location of sampling were collected, which contain administrative, locational, geographical and other data (relief, climatic and meteorological data, detailed data on land use and vegetation cover, description of surface soil properties). Field soil sampling for each LULUCF land use category was performed according to a modified methodology described in the EU DG JRC (Joint Research Center) 'Protocol for soil sampling to confirm changes in organic carbon stocks in the EU' by Stolbovoy et al. 2007 (Soil sampling protocol to certify the changes of organic carbon stock in mineral soil of the European Union - EU JRC). The protocol modifications aimed to ensure reporting under the UNFCCC and Kyoto protocols, i.e., to ensure compliance with the IPCC methodology. Soil sampling on forest land (FL) according to the JRC protocol is planned at two depths of 0-10 cm and 10 - 20 cm and an organic layer (list), but due to reporting requirements under the UNFCCC and Kyoto protocol, sampling was carried out at a depth of 20 - 30 cm. Land under crops (CL) was sampled at two depths (0-20 cm and 20-30 cm) and grasslands (GL), wetlands (WL), settlements (SL) and other land (OL) were sampled at three depths 0- 10, 10-20 and 20-30 cm. Geochemical analyzes were performed at depths of 0\u201310 and 20\u201330 cm for forest soils (FL) and for meadows and pastures (GL) while for soils under crops (CL) composite samples of 0\u201330 cm and 0\u201320 cm were analyzed. Network of piezometers To get a more accurate depth to bedrock parameter, positions of 812 piezometers are considered as they have at least 4 meters of depth to bedrock. Description of database Column names and descriptions: Metadata columns: site_key - unique identifier that identifies sample in source database\u00a0source_db - label of source database\u00a0source_sampled - label of organization/team who sampled and analyzed data\u00a0site_obsdate - year of taking sample\u00a0longitude_decimal_degrees - longitude in degrees in WGS84 geographical projection\u00a0latitude_decimal_degrees - latitude in degrees in WGS84 geographical projection\u00a0pedon_completeness_index - quality factor (0-100)\u00a0taxgrtgroup - classification of sample according to WBR 2014/2016 classification\u00a0 Soil properties columns: column name - property - measurement units - descriptionoc - Carbon, Organic - % wt - CMS analyte. Organic carbon is a measure of all organic forms of carbon in the soil, including organic carbon within minerals.\u00a0n_tot_ncs - Nitrogen, Total NCS - % wt - Total nitrogen is a measure of all organic and inorganic nitrogen, including that found in nitrogen minerals.ca_mehlich3 - Calcium, Mehlich3 Extractable \u00a0- mg/kg - The calcium extracted by the Mehlich III solution.\u00a0k_mehlich3 - Potassium, Mehlich3 Extractable - mg/kg - The potassium extracted by the Mehlich III solution.\u00a0mg_mehlich3 - Magnesium, Mehlich3 Extractable - mg/kg - The magnesium extracted by the Mehlich III solution.\u00a0p_mehlich3 - Phosphorus, Mehlich3 Extractable - mg/kg - The phosphorus extracted by the Mehlich III solution.\u00a0cec_sum - Cation Exchange Capacity, Summary \u00a0 cmol(+)/kg - The effective cation exchange capacity is calculated by BASE_SUM+AL_KCL. It is not calculated if soluble salts are present. It is reported as meq per 100 grams on a <2 mm base. CMS derived value default\u00a0ec_satp - Electrical Conductivity , Saturation Extract - dS/m - The electrical conductivity of the saturation extract is used to estimate the concentration of salts in a sample, and provides inferences on cation concentration in solution and osmotic pressure. It is reported as mmhos per centimeter.\u00a0caco3 - Carbonates - % wt - Carbonate in the < 2mm fraction is measured by CO2 evolution after acid treatment. It is reported as gravimetric percent CaCO3 on a <2 mm base, even though carbonates of Mg, Na, K, and Fe may be present and react with the acidph_h2o - pH, 1:1 Soil-Water Suspension - (NA) - The pH, 1:1 soil-water suspension is the pH of a sample measured in distilled water at a 1:1 soil:solution ratio. If wider ratios increase the pH, salts are indicated.\u00a0ph_kcl - The pH, 1:1 soil-KCl suspension - (NA) - The pH, 1:1 soil-KCl suspension is the pH of a sample measured in 1.0N KCl at a 1:1 soil:solution ratio. If the pH in KCl < pH in water, Al+++ is indicated.\u00a0total_clay - Clay, Total - % wt - Total clay is the soil separate with <0.002 mm particle diameter. Clay size carbonate is included. Total clay is reported as a weight percent of the <2 mm fraction.\u00a0total_silt - Silt, Total - % wt - Total silt is the soil separate with 0.002 to 0.05 mm particle size. It is reported as a gravimetric percent on a <2 mm base.\u00a0total_sand - Sand, Total - % wt - Total sand is the soil separate with 0.05 to 2.0 mm particle diameter. It is reported as a gravimetric percent on a <2 mm base.\u00a0wpg2 - Coarse fragments - % wt - The weight fraction of particles with >2 mm diameter is reported as a gravimetric percent on a whole soil base.\u00a0db_od Bulk Density, <2mm Fraction, Ovendry - g/cc - Bulk density, oven dry (105 C) is the weight per unit volume of the <2 mm fraction, with volume measured on oven dry (105 C) natural fabric (clods). It is reported as grams per cubic centimeter on a <2 mm base.\u00a0dbr - Depth to bedrock - cm - Depth to the R horizon or similar", "keywords": ["2. Zero hunger", "13. Climate action", "15. Life on land", "16. Peace & justice", "3. Good health"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10065971"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10065971", "name": "item", "description": "10.5281/zenodo.10065971", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10065971"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-11-02T00:00:00Z"}}, {"id": "10.5281/zenodo.10404481", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:20:05Z", "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": "2026-09-22T16:20:14Z", "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.11071095", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:20:15Z", "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.13374006", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:20:22Z", "type": "Dataset", "title": "Microbial biomass and water-extractable carbon on Mt. Kilimanjaro", "description": "This dataset presents the value of microbial biomass carbon (MBC) and water-extractable carbon (WOC) at study plots under KiLi project. Microbial biomass carbon (MBC) and water-extractable organic carbon (WOC) \u2013 as sensitive and important parameters for soil fertility and C turnover \u2013 are strongly affected by land-use changes all over the world. These effects are particularly distinct upon conversion of natural to agricultural ecosystems due to very fast carbon (C) and nutrient cycles and high vulnerability, especially in the tropics. The objective of this study was to use the unique advantage of Mt. Kilimanjaro \u2013 altitudinal gradient leading to different tropical ecosystems but developed all on the same soil parent material \u2013 to investigate the effects of land-use change and elevation on MBC and WOC contents during a transition phase from dry to wet season. Down to a soil depth of 50\u00a0cm, we compared MBC and WOC contents of 2 natural (Ocotea\u00a0and\u00a0Podocarpus forest), 3 seminatural (lower montane forest, grassland, savannah), 1 sustainably used (homegarden) and 2 intensively used (maize field, coffee plantation) ecosystems on an elevation gradient from 950 to 2850\u00a0m a.s.l. The KiLi project (2010-2018) is a German Science Foundation (DFG) funded research unit (DFG research unit FOR1246) that focuses on biodiversity and ecosystem processes along altitudinal and disturbance gradients on Mt. Kilimanjaro (Tanzania, Africa), capitalizing on its world-wide unique range of climatic and vegetation zones. The research unit comprises 2 central projects and 7 subprojects from various disciplines. On a total of 60 study sites in both natural and human-disturbed ecosystems biodiversity (e.g. plants, soil arthropods, ants, bees, frogs, lizards, bats, birds), related ecosystem processes (decomposition, seed dispersal, pollination, herbivory, predation), and biogeochemical processes and properties of ecosystems (climate, soil properties and nutrient status, regulation of water and carbon fluxes, trace gas emissions, primary productivity, functional diversity) are analyzed.", "keywords": ["land-use change", "microbial carbon dynamics", "tropical ecosystem", "andosol", "elevation gradient", "water-extractable carbon"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13374006"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13374006", "name": "item", "description": "10.5281/zenodo.13374006", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13374006"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-08-26T00:00:00Z"}}, {"id": "10.5281/zenodo.13952097", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:20:24Z", "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.14044657", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:20:28Z", "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.14027088", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:20:27Z", "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.14185189", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:20:30Z", "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.14761001", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:20:36Z", "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": "2026-09-22T16:20:40Z", "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). 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