{"type": "FeatureCollection", "features": [{"id": "10.5281/zenodo.15772619", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:23:12Z", "type": "Dataset", "title": "Dataset to: Foundation for an Austrian NIR Soil Spectral Library for Soil Health Assessments", "description": "Dataset description  This is the corresponding dataset to the publication 'Foundation for an Austrian NIR Soil Spectral Library for Soil Health Assessments' by Fohrafellner et al. (2025). In this publication, we created the first Near-Infrared (NIR) Austrian Soil Spectral Library (ASSL, 680 \u2013 2500 nm) using 2,129 legacy samples from all environmental zones of Austria. Additionally, we utilized partial least squares regression modeling to evaluate the dataset's current effectiveness for soil health assessments. The dataset contains three tabs, 'Document meta data', 'Legend' and 'Dataset'. Tab 'Document meta data' gives information on the authors, the data collection time frame, terms of use, etc. In 'Legend', each column of the 'Dataset' is described. The 'Dataset' contains information on the legacy soil samples including:\u00a0    meta data (e.g. sample number, sampling year, zip code, environmental zone, land use),   soil properties (soil organic carbon [SOC], SOC to clay ratio, total carbon, labile carbon, CaCO3, total nitrogen, plant available phosphorus, pH measured in CaCl2 and acetate, cation exchange capacity, texture [sand, silt, clay content], and clay content measured by density in suspension), and  measured NIR soil spectra, also for the standards.   Project description  This Austrian Soil Spectral Library was built within the ProbeField project (November 2021 \u2013 January 2025), which was part of the European Joint Program for SOIL \u2018Towards climate-smart sustainable management of agricultural soils\u2019 (EJP SOIL) funded by the European Union Horizon 2020 research and innovation programme (Grant Agreement N\u00b0 862695). The project aimed to create a protocol detailing procedures and methodologies for accurately estimating fertility-related properties in agricultural soils in the field. Additionally, the potential for extending this data to two- and three-dimensional mapping using co-variates was demonstrated. ProbeField further collected field spectra that closely match laboratory spectra, enabling the prediction of soil properties using models calibrated with soil spectral libraries.  References  Fohrafellner, J., Lippl, M., Bajraktarevic, A., Baumgarten, A., Spiegel, H., K\u00f6rner, R. and Sand\u00e9n, T.: Foundation for an Austrian NIR Soil Spectral Library for Soil Health Assessments, 2025, in review.", "keywords": ["EJP SOIL", "ProbeField", "Spectroscopy", " Near-Infrared", "data"], "contacts": [{"organization": "Fohrafellner, Julia", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15772619"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15772619", "name": "item", "description": "10.5281/zenodo.15772619", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15772619"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-07T00:00:00Z"}}, {"id": "10.5281/zenodo.16261617", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:23:14Z", "type": "Dataset", "title": "Dataset to: Austrian NIR Soil Spectral Library for Soil Health Assessments", "description": "Dataset description  This is the corresponding dataset to the publication 'Austrian NIR Soil Spectral Library for Soil Health Assessments' by Fohrafellner et al. (2025). In this publication, we created the first Austrian Near-Infrared (NIR) Soil Spectral Library (680 \u2013 2500 nm) using 2,129 legacy samples from all environmental zones of Austria. Additionally, we utilized partial least squares regression modeling to evaluate the dataset's current effectiveness for soil health assessments. The dataset contains three tabs, 'Document meta data', 'Legend' and 'Dataset'. Tab 'Document meta data' gives information on the authors, the data collection time frame, terms of use, etc. In 'Legend', each column of the 'Dataset' is described. The 'Dataset' contains information on the legacy soil samples including:\u00a0    meta data (e.g. sample number, sampling year, zip code, environmental zone, land use),   soil properties (soil organic carbon [SOC], SOC to clay ratio, total carbon, labile carbon, CaCO3, total nitrogen, plant available phosphorus, pH measured in CaCl2 and acetate, cation exchange capacity, texture [sand, silt, clay content], and clay content measured by density in suspension), and  measured NIR soil spectra, also for the standards.   Project description  This Austrian NIR Soil Spectral Library was built within the ProbeField project (November 2021 \u2013 January 2025), which was part of the European Joint Program for SOIL 'Towards climate-smart sustainable management of agricultural soils' (EJP SOIL) funded by the European Union Horizon 2020 research and innovation programme (Grant Agreement N\u00b0 862695). The project aimed to create a protocol detailing procedures and methodologies for accurately estimating fertility-related properties in agricultural soils in the field. Additionally, the potential for extending this data to two- and three-dimensional mapping using co-variates was demonstrated. ProbeField further collected field spectra that closely match laboratory spectra, enabling the prediction of soil properties using models calibrated with soil spectral libraries.  References  Fohrafellner, J., Lippl, M., Bajraktarevic, A., Baumgarten, A., Spiegel, H., K\u00f6rner, R. and Sand\u00e9n, T.: Austrian NIR Soil Spectral Library for Soil Health Assessments, 2025, in review.", "keywords": ["EJP SOIL", "ProbeField", "spectroscopy", "data", "near-infrared"], "contacts": [{"organization": "Fohrafellner, Julia, Lippl, Maximilian, Bajraktarevic, Armin, Baumgarten, Andreas, Spiegel, Heide, K\u00f6rner, Robert, Sand\u00e9n, Taru,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.16261617"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.16261617", "name": "item", "description": "10.5281/zenodo.16261617", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.16261617"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-21T00:00:00Z"}}, {"id": "10.5281/zenodo.17941270", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:23:20Z", "type": "Dataset", "title": "Dataset to: Austrian NIR Soil Spectral Library for Soil Health Assessments", "description": "Dataset description  This is the corresponding dataset to the publication 'Austrian NIR Soil Spectral Library for Soil Health Assessments' by Fohrafellner et al. (2025). In this publication, we created the first Austrian Near-Infrared (NIR) Soil Spectral Library (680 \u2013 2500 nm) using 2,129 legacy samples from all environmental zones of Austria. Additionally, we utilized partial least squares regression modeling to evaluate the dataset's current effectiveness for soil health assessments. The dataset contains three tabs, 'Document meta data', 'Legend' and 'Dataset'. Tab 'Document meta data' gives information on the authors, the data collection time frame, terms of use, etc. In 'Legend', each column of the 'Dataset' is described. The 'Dataset' contains information on the legacy soil samples including:\u00a0    meta data (e.g. sample number, sampling year, zip code, environmental zone, land use),   soil properties (soil organic carbon [SOC], SOC to clay ratio, total carbon, labile carbon, CaCO3, total nitrogen, plant available phosphorus, pH measured in CaCl2 and acetate, cation exchange capacity, texture [sand, silt, clay content], and clay content measured by density in suspension), and  measured NIR soil spectra, also for the standards.   Project description  This Austrian NIR Soil Spectral Library was built within the ProbeField project (November 2021 \u2013 January 2025), which was part of the European Joint Program for SOIL 'Towards climate-smart sustainable management of agricultural soils' (EJP SOIL) funded by the European Union Horizon 2020 research and innovation programme (Grant Agreement N\u00b0 862695). The project aimed to create a protocol detailing procedures and methodologies for accurately estimating fertility-related properties in agricultural soils in the field. Additionally, the potential for extending this data to two- and three-dimensional mapping using co-variates was demonstrated. ProbeField further collected field spectra that closely match laboratory spectra, enabling the prediction of soil properties using models calibrated with soil spectral libraries.  References  Fohrafellner, J., Lippl, M., Bajraktarevic, A., Baumgarten, A., Spiegel, H., K\u00f6rner, R. and Sand\u00e9n, T.: Austrian NIR Soil Spectral Library for Soil Health Assessments, 2025, in review.", "keywords": ["EJP SOIL", "ProbeField", "spectroscopy", "data", "near-infrared"], "contacts": [{"organization": "Fohrafellner, Julia, Lippl, Maximilian, Bajraktarevic, Armin, Baumgarten, Andreas, Spiegel, Heide, K\u00f6rner, Robert, Sand\u00e9n, Taru,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17941270"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17941270", "name": "item", "description": "10.5281/zenodo.17941270", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17941270"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-21T00:00:00Z"}}, {"id": "10.1016/j.iswcr.2024.10.002", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:37Z", "type": "Journal Article", "created": "2024-10-09", "title": "Visible, near-infrared, and shortwave-infrared spectra as an input variable for digital mapping of soil organic carbon", "description": "This study proposes a novel methodology to employ discrete point spectra as input variable for digital mapping of soil organic carbon (SOC). Accordingly, two SOC modeling approaches were used in three agricultural sites in Czech Republic: i) machine learning (ML) including partial least squares regression (PLSR), cubist, random forest (RF), and support vector regression (SVR), and ii) regression kriging (RK) by the combination of ordinary kriging (OK) and PLSR (PLSR-K), cubist (cubist-K), RF (RF-K), and SVR (SVR-K). Models were developed on environmental predictor covariates (EPCs) and thirty genetic algorithms (GA)-selected visible, near-infrared, and shortwave-infrared (VNIR\u2013SWIR) wavelengths spectra, individually and combined. Thirty rasters were then created using interpolation of the selected spectra and served as the input variables \u2013 with and without EPCs \u2013 to test and compare the developed models and SOC predictive maps with each other and with those retrieved from the third approach: iii) kriging using OK of the measured and ML-predicted SOC. The impact of employing selected wavelengths\u2019 spectra and EPCs on models' performance was investigated using independent test samples and the uncertainty associated with the produced maps. Using interpolated spectra as the only input variable yielded a relatively acceptable accuracy (Nov\u00e1 Ves: RMSE\u00a0=\u00a00.19%, \u00dadrnice: RMSE\u00a0=\u00a00.12%, Klu\u010dov: RMSE\u00a0=\u00a00.13%). In comparison, the interpolated spectra coupled with EPCs enhanced the results. Regarding the uncertainty, however, the ML-based SOC maps were more reliable, than RK-based ones. Furthermore, maps produced using both spectra and EPCs showed less uncertainty than those constructed on the individual datasets.", "keywords": ["SOC modeling and mapping", "Regression kriging", "EJP SOIL", "ProbeField", "550", "Interpolated spectra", "EJPSOIL", "Machine learning", "Uncertainty", "TA1-2040", "Engineering (General). Civil engineering (General)"]}, "links": [{"href": "https://doi.org/10.1016/j.iswcr.2024.10.002"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.iswcr.2024.10.002", "name": "item", "description": "10.1016/j.iswcr.2024.10.002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.iswcr.2024.10.002"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-03-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2023.116636", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:35Z", "type": "Journal Article", "created": "2023-08-11", "title": "Exploitation of the SoilPRO\u00ae (SP) apparatus to measure soil surface reflectance in the field: Five case studies", "description": "The SoilPRO\u00ae (SP) is an assembly designed to acquire soil reflectance information in the field without disturbing the soil surface, and regardless of atmospheric and solar radiation conditions. This paper summarizes five case studies in which the SP assembly was used for different applications. The case studies consisted of: (1) generating surface spectral measurements under any atmospheric condition; (2) comparing the performance of the SP to the traditional bare fiber method for vicarious calibration of hyperspectral satellite sensors; (3) assessing water repellency of a soil surface governed by organic matter hydrophobicity; (4) spatial prediction of the rate of water infiltration into the soil profile as governed by the soil surface seal; and (5) using the SP apparatus to measure soil surface reflectance in South Shetland Island, Antartica under severe weather conditions. The case studies included calculation of spectral quality, prediction accuracy and measurement stability. The paper discusses each of the cases in detail and concludes that the SP (or similar assembly) is the best way to measure the reflectance of the original soil surface in the field. In the first case study, the spectrum collected by the SP under daily changing illumination was shown to be stable relative to the traditional measurement methods of contact probe or bare fiber. The second case study indicated that use of the SP for vicarious calibration is much more efficient (in terms of time and stability) than ground-truth practice over a large area, and in the third case study, the SP was able to assess a soil surface property governed by organic matter hydrophobicity better than the contact probe, which destroys the soil surface organic seal. A similar achievement was gained in the fourth case study, providing a better assessment of the water-infiltration rate into the soil. In the fifth case study, the SP demonstrated impressive high-quality acquisition of soil surface reflectance with a very low sun angle over the South Pole. Based on these case studies and the high quality of the data generated by the SP in the field, we suggest building, in parallel to the classical soil spectral libraries generated in the laboratory, field soil spectral libraries that will preserve the soil surface properties scanned in the field. We anticipate the development of more applications for the SP assembly based on the capabilities shown in this paper.", "keywords": ["EJP SOIL", "ProbeField", "Field measurements", "Science", "Soil reflectance", "EJPSOIL", "Q", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "01 natural sciences", "SoilPRO", "Soil surface properties", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2023.116636"}, {"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.2023.116636", "name": "item", "description": "10.1016/j.geoderma.2023.116636", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2023.116636"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2024.116920", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:35Z", "type": "Journal Article", "created": "2024-05-24", "title": "A standard and protocol for in-situ measurement of surface soil reflectance", "description": "This study introduces an innovative standard and protocol approach for accurate assessment and harmonization of undisturbed soil surface spectra under field conditions, achieving laboratory-grade precision, while minimizing systematic discrepancies. The SoilPRO\u00ae assembly was employed for its efficacy in precisely measuring seven different soil samples under similar field and laboratory conditions in six different laboratories. While some discrepancies were noted in and between field and laboratory measurements, aligning the laboratory measurements with a reference sample, Lucky Bay (LB) internal soil standard (ISS), significantly reduced variations across different laboratory settings. A similar approach was employed to align field spectra using a field ISS (FISS), which could be practically applied in the field and adjusted to the laboratory reference LB before utilization. Correcting to the FISS facilitated the alignment of field reflectance among the six laboratories and closely matched with laboratory ISS measurements adjusted to the LB standard. This alignment of field reflectance with ISS-corrected laboratory measurements represents a ground-breaking achievement in field soil spectroscopy, which suffers from instabilities. It not only ensures preservation of the soil surface condition in the field, but also enables objective comparisons with all soil spectral libraries (SSLs) measurements and robust harmonization of field spectral data from different sources. The suggested method masks out technical aspects of spectral measurements in the field and prepares the signals to be analyzed for the physicochemical characteristics of the soil surface. The current study marks the first use of a controlled method for soil-surface spectroscopy measurements, opening a path for the construction of in-situ field SSLs. This advancement represents a significant step toward obtaining more accurate and standardized soil analyses of diverse surface properties under field conditions.", "keywords": ["EJP SOIL", "ProbeField", "EJPSOIL", "Science", "Q", "Field soil reflectance", "Field protocol", "0401 agriculture", " forestry", " and fisheries", "Field spectral harmonization", "Filed soil spectral library", "04 agricultural and veterinary sciences", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2024.116920"}, {"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.2024.116920", "name": "item", "description": "10.1016/j.geoderma.2024.116920", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2024.116920"}, {"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": "10.1080/05704928.2022.2128365", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:18:18Z", "type": "Journal Article", "created": "2022-10-03", "title": "Mathematical techniques to remove moisture effects from visible\u2013near-infrared\u2013shortwave-infrared soil spectra\u2014review", "description": "This is an Accepted Manuscript of an article published by Taylor & Francis in Applied Spectroscopy Reviews on 03 October 2022, available at: https://doi.org/10.1080/05704928.2022.2128365", "keywords": ["EJP Soil", "Proximal Sensing", "ProbeField", "Soil Moisture", "04 agricultural and veterinary sciences", "algorithms", "01 natural sciences", "diffuse reflectance spectroscopy", "field-moist conditions", "EJPSOIL", "0401 agriculture", " forestry", " and fisheries", "indices", "Soil moisture", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.tandfonline.com/doi/pdf/10.1080/05704928.2022.2128365"}, {"href": "https://doi.org/10.1080/05704928.2022.2128365"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Spectroscopy%20Reviews", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1080/05704928.2022.2128365", "name": "item", "description": "10.1080/05704928.2022.2128365", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1080/05704928.2022.2128365"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-03T00:00:00Z"}}, {"id": "10.3390/s24113556", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:21:10Z", "type": "Journal Article", "created": "2024-05-31", "title": "Prediction Accuracy of Soil Chemical Parameters by Field- and Laboratory-Obtained vis-NIR Spectra after External Parameter Orthogonalization", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>One challenge in predicting soil parameters using in situ visible and near infrared spectroscopy is the distortion of the spectra due to soil moisture. External parameter orthogonalization (EPO) is a mathematical method to remove unwanted variability from spectra. We created two different EPO correction matrices based on the difference between spectra collected in situ and, respectively, spectra collected from the same soil samples after drying and sieving and after drying, sieving and finely grinding. Spectra from 134 soil samples recorded with two different spectrometers were split into calibration and validation sets and the two EPO corrections were applied. Clay, organic carbon and total nitrogen content were predicted by partial least squares regression for uncorrected and EPO-corrected spectra using models based on the same type of spectra (\u201cwithin domain\u201d) as well as using laboratory-based models to predict in situ collected spectra (\u201ccross-domain\u201d). Our results show that the within-domain prediction of clay is improved with EPO corrections only for the research grade spectrometer, with no improvement for the other parameters. For the cross-domain predictions, there was a positive effect from both EPO corrections on all parameters. Overall, we also found that in situ collected spectra provided an equally successful prediction as laboratory-based spectra.</p></article>", "keywords": ["EJP Soil", "570", "ProbeField", "Medical Sciences", "Bioinformatics", "clay content", "in situ soil spectroscopy", "TP1-1185", "01 natural sciences", "630", "Article", "Biomedical Informatics", "PLSR", "Medical Specialties", "Medicine and Health Sciences", "Spectroscopy", "soil spectroscopy", "proximal sensing", "0105 earth and related environmental sciences", "spectrometers", "Chemical technology", "rdCV", "04 agricultural and veterinary sciences", "soil organic carbon", "total nitrogen", "Oncology", "0401 agriculture", " forestry", " and fisheries", "soil moisture", "EPO"]}, "links": [{"href": "https://doi.org/10.3390/s24113556"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sensors", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/s24113556", "name": "item", "description": "10.3390/s24113556", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/s24113556"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-31T00:00:00Z"}}, {"id": "10.5281/zenodo.14019130", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:22:33Z", "type": "Dataset", "title": "D2.2_20240423_ProbeField_SSL_Metadata_V2", "description": "D2.2_ProbeField_SSL_Metadata_V2 consists of several soil spectral libraries (SSLs) produced by eleven European countries institutes including Austria, Czech Republic, Denmark, France, Italy, Netherlands, Poland, Spain, Sweden, Turkiye, and Switzerland. The columns include institute, country, contact person(s), contact person(s) e-mail, beneficiary or linked partner or SSL outside EJP, name of SSL, location, SSL form, format, link, conditions, geographical coverage, number of sites, number of samples, sample representation, increment, spectrophotometer, state of soil sample, organic carbon, texture, models, sharing, sample availability and georeferenced field site(s).", "keywords": ["EJP SOIL", "ProbeField", "Soil Organic Carbon", "Lab and field spectroscopy", "EJPSOIL", "Soil sampling", "Life Science", "SOC", "Proximal sensing", "Soil Spectral Library (SSL)"], "contacts": [{"organization": "Stenberg, Bo, Bor\u016fvka, Lubo\u0161, Fantappi\u00e8, Maria, Sanden, Taru, Van Egmond, Fenny, Koganti, Triven, Klumpp, Katja, Debaene, Guillaume, Liebisch, Frank, Castaldi, Fabio, Cayuela S\u00e1nchez, Jos\u00e9 Antonio, Barbetti, Roberto, Madeno\u011flu, Sevin\u00e7,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14019130"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14019130", "name": "item", "description": "10.5281/zenodo.14019130", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14019130"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14035520", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:22:33Z", "type": "Report", "title": "Accuracies and costs of prediction and mapping of soil properties using proximal electromagnetic sensors", "description": "Working review paper on costs and accuracies associated with using proximal soil sensing for high resolution soil mapping. We reviewed around 200 articles and collected costs from more than 20 companies.", "keywords": ["EJP Soil", "Probefield", "Life Science"], "contacts": [{"organization": "Lozano Fond\u00f3n, Carlos, PINAR, Melis \u00d6zge, Sand\u00e9n, Taru, Madenoglu, Sevinc, Barbetti, Roberto, Buttafuoco, Gabriele, Lorenzetti, Romina, Knadel, Maria, Stenberg, Bo, Metzger, Konrad, Liebisch, Frank, Gholizadeh, Asa, L\u00f3pez N\u00fa\u00f1ez, Rafael, Fantappi\u00e8, Maria, van Egmond, Fenny, Koganti, Triven,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14035520"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14035520", "name": "item", "description": "10.5281/zenodo.14035520", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14035520"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14035521", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:22:33Z", "type": "Report", "title": "Accuracies and costs of prediction and mapping of soil properties using proximal electromagnetic sensors", "description": "Working review paper on costs and accuracies associated with using proximal soil sensing for high resolution soil mapping. We reviewed around 200 articles and collected costs from more than 20 companies.", "keywords": ["EJP Soil", "Probefield", "Life Science"], "contacts": [{"organization": "Lozano Fond\u00f3n, Carlos, PINAR, Melis \u00d6zge, Sand\u00e9n, Taru, Madenoglu, Sevinc, Barbetti, Roberto, Buttafuoco, Gabriele, Lorenzetti, Romina, Knadel, Maria, Stenberg, Bo, Metzger, Konrad, Liebisch, Frank, Gholizadeh, Asa, L\u00f3pez N\u00fa\u00f1ez, Rafael, Fantappi\u00e8, Maria, van Egmond, Fenny, Koganti, Triven,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14035521"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14035521", "name": "item", "description": "10.5281/zenodo.14035521", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14035521"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14150971", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:22:36Z", "type": "Report", "title": "D5.1 ProbeField: Best Practice Protocol for Field Spectroscopy and Assessment by Soil Spectral Library Based Calibrations", "description": "A step-by-step guide for spectral sampling directly in the field and for the subsequent mathematical preprocessing of spectra to 1) reduce noise and enhance spectral features related to soil properties, and 2) remove moisture effects and align spectra with laboratory-based soil spectral libraries (SSLs). The reader is also introduced to the very basics of soil spectroscopy and the main results of the Horizon 2020 EJP SOIL ProbeField project that outlined and tested this protocol. The aims is to produce spectra sampled directly in the field that to the largest possible degree resemble laboratory spectra so that soil properties may be predicted by models calibrated on soil spectral libraries.", "keywords": ["External Parameter Orthogonalisation", "EJP SOIL", "ProbeField", "Soil sciences", "Soil sensors", "Soil Organic Matter", "SOC", "proximal sensors", "Soil Spectroscopy", "EPO"], "contacts": [{"organization": "Stenberg, Bo, Koganti, Triven, Castaldi, Fabio, Metzger, Konrad, Buttafuoco, Gabriele, van Egmond, Fenny, Cayuela, Jos\u00e9 Antonio, Bor\u016fvka, Lubo\u0161, Debaene, Guillaume, Liebisch, Frank, Sand\u00e9n, Taru,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14150971"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14150971", "name": "item", "description": "10.5281/zenodo.14150971", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14150971"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-13T00:00:00Z"}}, {"id": "10.5281/zenodo.13744546", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:22:25Z", "type": "Dataset", "title": "CSIC-ProbeField SpectralDatasetMetadata-D4.2", "description": "The dataset comprises the information of the sampleset CSIC built in ProbeField-EJP Soil project on sampling date, site, crop, previous crop, depth (cm), latitude and longitude cooordinates, soil moisture (% dw), bulk density (g/cm3), labnumber, label, texture (%): coarse sand, fine sand, silt, clay, texture class. pH (Ext 1:2.5), EC (Ext 1:5) (mS/cm), carbonate (% CaCO3), org\u00e1nic-C\u00a0 (%), organic matter (%), total-N (%), avail-P (mg/kg), avail-K (mg/kg), elemental analysis (pXRF) and VisNIR spectra (350-2500 nm). As well as concerning the analytical methods.", "keywords": ["Compositional; CoDa; EJP Soil; NIRS; ProbeField; SOC; soil organic carbon"], "contacts": [{"organization": "L\u00f3pez-N\u00fa\u00f1ez, Rafael, Cayuela-S\u00e1nchez, Jose Antonio,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13744546"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13744546", "name": "item", "description": "10.5281/zenodo.13744546", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13744546"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-11T00:00:00Z"}}, {"id": "10.5281/zenodo.13753159", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:22:25Z", "type": "Dataset", "title": "D3.2_20240117_ProbeField_Pre-processed_Spectra_V1", "description": "Open AccessDeliverable 3.2 consists of a dataset of pre-processed field spectra. The dataset includes 583 spectra collected by nine EJP Soil Probefield\u2019s partners in eight countries in 214 sampling points. Nine different VNIR spectroradiometers equipped with contact probes were used to collect the spectra (350 \u2013 2500 nm). Each spectrum corresponds to the average reflectance of five repetitions .  Soil samples were collected from each sampling point and brought to the laboratory for determining the organic content (TOC). The raw spectra were reduced in the range between 400 and 2450 to remove the spectrum tails usually containing noisy signal and the following spectral pre-treatments and transformation were applied:    1.\u00a0\u00a0\u00a0\u00a0\u00a0 Spline interpolation of the values of the edges of the middle sensor to correct steps  2.\u00a0\u00a0\u00a0\u00a0\u00a0 Savitzky-Golay smoothing filter using a second polynomial order and a window of 11 nm  3.\u00a0\u00a0\u00a0\u00a0\u00a0 Detrending spectral data by applying a SNV transformation  4.\u00a0\u00a0\u00a0\u00a0\u00a0 Spectral alignment applying a different correction factor for each spectroradiometer using the Lucky Bay sands as internal soil standard  5.\u00a0 \u00a0The spectra were further transformed using the External Parameter Orthogonalization (EPO) matrix obtained from\u00a0DT_EPO.csv to\u00a0remove the effects of soil moisture   Therefore, three different datasets were extracted:    a \u00a0 \u00a0 \u00a0D3.2_20240117_ProbeField_Preprosessed_Spectra_DT_raw.csv: data extracted at the end of point 3  b\u00a0 \u00a0 \u00a0D3.2_20240117_ProbeField_Preprosessed_Spectra_DT_ISS.csv: data extracted at the end of point 4  c\u00a0 \u00a0 \u00a0 D3.2_20240117_ProbeField_Preprosessed_Spectra_DT_EPO.csv: data extracted at the end of point 5", "keywords": ["Soil sciences", "Soil", "ProbeField", "EJP SOIL", "Soil Organic Carbon", "Soil spectroscopy", "EJPSOIL", "SOC", "Proximal sensing", "soil spectral library", "Field Spectroscopy"], "contacts": [{"organization": "Castaldi, Fabio", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13753159"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13753159", "name": "item", "description": "10.5281/zenodo.13753159", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13753159"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-12T00:00:00Z"}}, {"id": "10.5281/zenodo.13757028", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:22:25Z", "type": "Dataset", "title": "D3.3_20230919_ProbeField_Aligned_Spectra_V1", "description": "Open AccessThe reference data (SOC) of the Swedish soil samples are part of the Swedish national soil monitoring programme for agricultural soils, Soil and crop inventory and are owned by The Swedish Environmental Protection Agency. Spectra were collected within the EJP SOIL project", "keywords": ["EJP SOIL", "ProbeField", "Soil sciences", "Soil", "Field spectroscopy", "Soil spectroscopy", "EJPSOIL", "data harmonization", "Internal soil standard", "Spectral alignment"], "contacts": [{"organization": "Castaldi, Fabio", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13757028"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13757028", "name": "item", "description": "10.5281/zenodo.13757028", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13757028"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-13T00:00:00Z"}}, {"id": "10.5281/zenodo.13844801", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:22:27Z", "type": "Journal Article", "created": "2023-08-11", "title": "Exploitation of the SoilPRO\u00ae (SP) apparatus to measure soil surface reflectance in the field: Five case studies", "description": "The SoilPRO\u00ae (SP) is an assembly designed to acquire soil reflectance information in the field without disturbing the soil surface, and regardless of atmospheric and solar radiation conditions. This paper summarizes five case studies in which the SP assembly was used for different applications. The case studies consisted of: (1) generating surface spectral measurements under any atmospheric condition; (2) comparing the performance of the SP to the traditional bare fiber method for vicarious calibration of hyperspectral satellite sensors; (3) assessing water repellency of a soil surface governed by organic matter hydrophobicity; (4) spatial prediction of the rate of water infiltration into the soil profile as governed by the soil surface seal; and (5) using the SP apparatus to measure soil surface reflectance in South Shetland Island, Antartica under severe weather conditions. The case studies included calculation of spectral quality, prediction accuracy and measurement stability. The paper discusses each of the cases in detail and concludes that the SP (or similar assembly) is the best way to measure the reflectance of the original soil surface in the field. In the first case study, the spectrum collected by the SP under daily changing illumination was shown to be stable relative to the traditional measurement methods of contact probe or bare fiber. The second case study indicated that use of the SP for vicarious calibration is much more efficient (in terms of time and stability) than ground-truth practice over a large area, and in the third case study, the SP was able to assess a soil surface property governed by organic matter hydrophobicity better than the contact probe, which destroys the soil surface organic seal. A similar achievement was gained in the fourth case study, providing a better assessment of the water-infiltration rate into the soil. In the fifth case study, the SP demonstrated impressive high-quality acquisition of soil surface reflectance with a very low sun angle over the South Pole. Based on these case studies and the high quality of the data generated by the SP in the field, we suggest building, in parallel to the classical soil spectral libraries generated in the laboratory, field soil spectral libraries that will preserve the soil surface properties scanned in the field. We anticipate the development of more applications for the SP assembly based on the capabilities shown in this paper.", "keywords": ["EJP SOIL", "ProbeField", "Field measurements", "Science", "Soil reflectance", "EJPSOIL", "Q", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "01 natural sciences", "SoilPRO", "Soil surface properties", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13844801"}, {"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": "10.5281/zenodo.13844801", "name": "item", "description": "10.5281/zenodo.13844801", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13844801"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-01T00:00:00Z"}}, {"id": "10.5281/zenodo.13951110", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:22:28Z", "type": "Dataset", "title": "D2.2 ProbeField datasets metadata", "description": "Deliverable 2.2 (ProbeField SSL Metadata) consists of several sampling campaigns conducted by institutes in ten European countries including Austria, Czech Republic, Denmark, France, Italy, Netherlands, Poland, Spain, Sweden, and Switzerland. The columns add information about the sampling scale, extent of the area, climate, soil class, parent rock, land use, management, number of samples, sampling date, vegetation type, SOC analysis method, SOC range, texture analysis method and spectral measurement specifications.", "keywords": ["EJP SOIL", "ProbeField", "Soil organic carbon", "EJPSOIL", "Soil sampling", "SOC", "Proximal sensing"], "contacts": [{"organization": "Czech University of Life Sciences Prague, Agricultural Research Council, Austrian Agency for Health and Food Safety, Spanish National Research Council, Wageningen University & Research, Aarhus University, Swedish University of Agricultural Sciences, National Research Institute for Agriculture, Food and Environment, Institute of Soil Science and Plant Cultivation, Agroscope, National Research Council,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13951110"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13951110", "name": "item", "description": "10.5281/zenodo.13951110", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13951110"}, {"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.13951111", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:22:29Z", "type": "Dataset", "title": "D2.2 ProbeField datasets metadata", "description": "Deliverable 2.2 (ProbeField SSL Metadata) consists of several sampling campaigns conducted by institutes in ten European countries including Austria, Czech Republic, Denmark, France, Italy, Netherlands, Poland, Spain, Sweden, and Switzerland. The columns add information about the sampling scale, extent of the area, climate, soil class, parent rock, land use, management, number of samples, sampling date, vegetation type, SOC analysis method, SOC range, texture analysis method and spectral measurement specifications.", "keywords": ["EJP SOIL", "ProbeField", "Soil organic carbon", "EJPSOIL", "Soil sampling", "SOC", "Proximal sensing"], "contacts": [{"organization": "Czech University of Life Sciences Prague, Agricultural Research Council, Austrian Agency for Health and Food Safety, Spanish National Research Council, Wageningen University & Research, Aarhus University, Swedish University of Agricultural Sciences, National Research Institute for Agriculture, Food and Environment, Institute of Soil Science and Plant Cultivation, Agroscope, National Research Council,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13951111"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13951111", "name": "item", "description": "10.5281/zenodo.13951111", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13951111"}, {"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.14017852", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:22:32Z", "type": "Dataset", "title": "D2.2_20240423_ProbeField_SSL_Metadata_V2", "description": "D2.2_ProbeField_SSL_Metadata_V2 consists of several soil spectral libraries (SSLs) produced by eleven European countries institutes including Austria, Czech Republic, Denmark, France, Italy, Netherlands, Poland, Spain, Sweden, Turkiye, and Switzerland. The columns include institute, country, contact person(s), contact person(s) e-mail, beneficiary or linked partner or SSL outside EJP, name of SSL, location, SSL form, format, link, conditions, geographical coverage, number of sites, number of samples, sample representation, increment, spectrophotometer, state of soil sample, organic carbon, texture, models, sharing, sample availability and georeferenced field site(s).", "keywords": ["EJP SOIL", "ProbeField", "Soil Organic Carbon", "Lab and field spectroscopy", "EJPSOIL", "Soil sampling", "Life Science", "SOC", "Proximal sensing", "Soil Spectral Library (SSL)"], "contacts": [{"organization": "Stenberg, Bo, Bor\u016fvka, Lubo\u0161, Fantappi\u00e8, Maria, Sanden, Taru, Van Egmond, Fenny, Koganti, Triven, Klumpp, Katja, Debaene, Guillaume, Liebisch, Frank, Castaldi, Fabio, Cayuela S\u00e1nchez, Jos\u00e9 Antonio, Barbetti, Roberto, Madeno\u011flu, Sevin\u00e7,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14017852"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14017852", "name": "item", "description": "10.5281/zenodo.14017852", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14017852"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14065208", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-25T16:22:34Z", "type": "Dataset", "title": "D4.1 Review on Accuracy of Proximal Soil Sensors Dataset", "description": "Dataset on accuracies of the working review paper on costs and accuracies associated with using proximal soil sensing for high-resolution soil mapping. The RMSE data and related information were extracted from around 200 articles (references are included). This dataset is associated with the following DOI: https://doi.org/10.5281/zenodo.14035520", "keywords": ["EJP SOIL", "Probefield", "Life Science"], "contacts": [{"organization": "Lozano Fond\u00f3n, Carlos, PINAR, Melis \u00d6zge, Madenoglu, Sevinc, Barbetti, Roberto, Sand\u00e9n, Taru, Buttafuoco, Gabriele, Lorenzetti, Romina, Knadel, Maria, Stenberg, Bo, Metzger, Konrad, Liebisch, Frank, Gholizadeh, Asa, L\u00f3pez N\u00fa\u00f1ez, Rafael, Fantappi\u00e8, Maria, van Egmond, Fenny, Koganti, Triven,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14065208"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14065208", "name": "item", "description": "10.5281/zenodo.14065208", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14065208"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14065209", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-25T16:22:35Z", "type": "Dataset", "title": "D4.1 Review on Accuracy of Proximal Soil Sensors Dataset", "description": "Dataset on accuracies of the working review paper on costs and accuracies associated with using proximal soil sensing for high-resolution soil mapping. The RMSE data and related information were extracted from around 200 articles (references are included). This dataset is associated with the following DOI: https://doi.org/10.5281/zenodo.14035520", "keywords": ["EJP SOIL", "Probefield", "Life Science"], "contacts": [{"organization": "Lozano Fond\u00f3n, Carlos, PINAR, Melis \u00d6zge, Madenoglu, Sevinc, Barbetti, Roberto, Sand\u00e9n, Taru, Buttafuoco, Gabriele, Lorenzetti, Romina, Knadel, Maria, Stenberg, Bo, Metzger, Konrad, Liebisch, Frank, Gholizadeh, Asa, L\u00f3pez N\u00fa\u00f1ez, Rafael, Fantappi\u00e8, Maria, van Egmond, Fenny, Koganti, Triven,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14065209"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14065209", "name": "item", "description": "10.5281/zenodo.14065209", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14065209"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14092313", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:22:35Z", "type": "Dataset", "title": "D4.3_Probefield_Dataset", "description": "Open AccessOrigin: WP4. This dataset contains VISNIR spectra from in situ measurements and laboratory analyses of air-dried and sieved samples (<2 mm), including pXRF analysis, all conducted by CSIC (Spain). The dataset includes samples collected from various field locations, with corresponding laboratory data from Italy and Turkey. In total, 136 samples were collected from experimental agricultural fields managed by CREA (IT) and TAGEM (TR).\u00a0  The dataset contains information on sampling date, sample_ID, site, crop, depth (cm), coordinates (in LAEA projection), and the corresponding analyzed values for the following parameters: texture (%, sand, silt, clay), pH (Ext 1:2.5), EC (Ext 1:5) (mS/cm), carbonate (% CaCO\u2083), active carbonate (%), organic carbon (%), total nitrogen (%), available phosphorus (mg/kg), cation exchange capacity (CEC, meq/100g), exchangeable bases (meq/100g), elemental analysis (pXRF), and VNIR-pretreated spectra (350\u20132500 nm). An additional sheet contains metadata on the lab methods used. The following pretreatments were applied to the absorbance value of VNIR spectral data: Standardization and correction factor with lucky bay sand following internal soil standard (ISS); Code Trimming; splice Correction; Savitzky-Golay smoothing filter; aggregation side 8 wavelength resampling", "keywords": ["Soil sciences", "EJP SOIL", "Probefield", "Data mining", "Spectroscopy"], "contacts": [{"organization": "Barbetti, Roberto", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14092313"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14092313", "name": "item", "description": "10.5281/zenodo.14092313", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14092313"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-12T00:00:00Z"}}, {"id": "10.5281/zenodo.14104497", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:22:35Z", "type": "Dataset", "title": "D4.3_Probefield_Dataset", "description": "Open AccessOrigin: WP4. This dataset contains VISNIR spectra from in situ measurements and laboratory analyses of air-dried and sieved samples (<2 mm), including pXRF analysis, all conducted by CSIC (Spain). The dataset includes samples collected from various field locations, with corresponding laboratory data from Italy and Turkey. In total, 136 samples were collected from experimental agricultural fields managed by CREA (IT) and TAGEM (TR).\u00a0  The dataset contains information on sampling date, sample_ID, site, crop, depth (cm), coordinates (in LAEA projection), and the corresponding analyzed values for the following parameters: texture (%, sand, silt, clay), pH (Ext 1:2.5), EC (Ext 1:5) (mS/cm), carbonate (% CaCO\u2083), active carbonate (%), organic carbon (%), total nitrogen (%), available phosphorus (mg/kg), cation exchange capacity (CEC, meq/100g), exchangeable bases (meq/100g), elemental analysis (pXRF), and VNIR-pretreated spectra (350\u20132500 nm). An additional sheet contains metadata on the lab methods used. The following pretreatments were applied to the absorbance value of VNIR spectral data: Standardization and correction factor with lucky bay sand following internal soil standard (ISS); Code Trimming; splice Correction; Savitzky-Golay smoothing filter; aggregation side 8 wavelength resampling", "keywords": ["Soil sciences", "EJP SOIL", "Probefield", "Data mining", "Spectroscopy"], "contacts": [{"organization": "Barbetti, Roberto", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14104497"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14104497", "name": "item", "description": "10.5281/zenodo.14104497", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14104497"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-12T00:00:00Z"}}, {"id": "10.5281/zenodo.14170112", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-25T16:22:38Z", "type": "Other", "title": "PSS_cost_accuracy_calculator", "description": "Open AccessThis worksheet aims to perform a cost/benefit analysis of Proximal Soil Sensing (PSS), relevant to WP4 EJP Soil Probefield Task 4.3. After an explanation in the READ_ME sheet, two equations, 'EQ1' and 'EQ2,' are implemented. EQ1 focuses on PSS point measurements (i.e spectroscopy), while EQ2 integrates Point measurement with on-the-go sensors for the production of Digital Soil Mapping. EQ1 is based on the cost-effectiveness index (E), a method proposed by Li et al. (2021), which enables a comprehensive cost-benefit analysis compared to standard soil analysis by considering factors such as accuracy, time, and cost. In the EQ2 sheet, the cost calculation is based on a simple summation, while accuracy is evaluated by the relative increase in accuracy (RI) as a reduction in RMSE. Simple interpolation methods, such as Inverse Distance Weighting (IDW) and Ordinary Kriging (OK), serve as the baseline from which RI begins.", "keywords": ["Cost benefits analysis", "Soil sciences", "ProbeField", "EJP SOIL", "Laboratory samples analysis", "Proximal Soil Sensing"], "contacts": [{"organization": "Barbetti, Roberto, Lozano Fond\u00f3n, Carlos, Stenberg, Bo,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14170112"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14170112", "name": "item", "description": "10.5281/zenodo.14170112", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14170112"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-15T00:00:00Z"}}, {"id": "10.5281/zenodo.14170113", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:22:38Z", "type": "Other", "title": "PSS_cost_accuracy_calculator", "description": "Open AccessThis worksheet aims to perform a cost/benefit analysis of Proximal Soil Sensing (PSS), relevant to WP4 EJP Soil Probefield Task 4.3. After an explanation in the READ_ME sheet, two equations, 'EQ1' and 'EQ2,' are implemented. EQ1 focuses on PSS point measurements (i.e spectroscopy), while EQ2 integrates Point measurement with on-the-go sensors for the production of Digital Soil Mapping. EQ1 is based on the cost-effectiveness index (E), a method proposed by Li et al. (2021), which enables a comprehensive cost-benefit analysis compared to standard soil analysis by considering factors such as accuracy, time, and cost. In the EQ2 sheet, the cost calculation is based on a simple summation, while accuracy is evaluated by the relative increase in accuracy (RI) as a reduction in RMSE. Simple interpolation methods, such as Inverse Distance Weighting (IDW) and Ordinary Kriging (OK), serve as the baseline from which RI begins.", "keywords": ["Cost benefits analysis", "Soil sciences", "ProbeField", "EJP SOIL", "Laboratory samples analysis", "Proximal Soil Sensing"], "contacts": [{"organization": "Barbetti, Roberto, Lozano Fond\u00f3n, Carlos, Stenberg, Bo,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14170113"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14170113", "name": "item", "description": "10.5281/zenodo.14170113", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14170113"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-15T00:00:00Z"}}, {"id": "10.5281/zenodo.14184825", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-25T16:22:38Z", "type": "Report", "title": "The EJP SOIL ProbeField Session of seven presentations at the GPSS workshop in Gent October 2024", "description": "This presentation is a compilation of seven presentations covering a large part of the work and findings of the EJP SOIL project ProbeField - A novel protocol for robust in field monitoring of carbon stock and soil fertility based on proximal sensors and existing soil spectral libraries given at a special session during\u00a0The Sixth Global Proximal Soil Sensing Workshop (https://www.gpss-2024.com/)\u00a0 in Gent in October 2024. ProbeField is a joint project involving 14 partners from 12 countries:\u00a0  Swedish University of Agricultural Sciences (SLU), Aarhus University (AU), Austrian Agency for Health and Food Safety Ltd. (AGES), Agroscope (AGS), University of Natural Resources and Life Sciences Vienna (BOKU), National Research Council of Italy (CNR), Council for Agricultural Research and Economics (CREA), Spanish National Research Council (CSIC), Czech University of Life Sciences Prague (CZU), National Research Institute for Agriculture, Food and Environment (INRAE), Institute of Soil Science and Plant Cultivation - State Research Institute (IUNG-PIB), General Directorate of Agricultural Research and Policies (TAGEM), University of Maribor, Faculty of Agriculture and Life Sciences (UM-FKBV) and Wageningen Environmental Research (WR).", "keywords": ["Proximal soil sensing", "ProbeField", "EJP SOIL", "Soil sciences", "Remote sensing"], "contacts": [{"organization": "Stenberg, Bo, Metzger, Konrad, Liebisch, Frank, Castaldi, Fabio, van Egmond, Fenny, Lozano Fond\u00f3n, Carlos, Ben Dor, Eyal,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14184825"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14184825", "name": "item", "description": "10.5281/zenodo.14184825", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14184825"}, {"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.14184826", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-07-25T16:22:39Z", "type": "Report", "title": "The EJP SOIL ProbeField Session of seven presentations at the GPSS workshop in Gent October 2024", "description": "This presentation is a compilation of seven presentations covering a large part of the work and findings of the EJP SOIL project ProbeField - A novel protocol for robust in field monitoring of carbon stock and soil fertility based on proximal sensors and existing soil spectral libraries given at a special session during\u00a0The Sixth Global Proximal Soil Sensing Workshop (https://www.gpss-2024.com/)\u00a0 in Gent in October 2024. ProbeField is a joint project involving 14 partners from 12 countries:\u00a0  Swedish University of Agricultural Sciences (SLU), Aarhus University (AU), Austrian Agency for Health and Food Safety Ltd. (AGES), Agroscope (AGS), University of Natural Resources and Life Sciences Vienna (BOKU), National Research Council of Italy (CNR), Council for Agricultural Research and Economics (CREA), Spanish National Research Council (CSIC), Czech University of Life Sciences Prague (CZU), National Research Institute for Agriculture, Food and Environment (INRAE), Institute of Soil Science and Plant Cultivation - State Research Institute (IUNG-PIB), General Directorate of Agricultural Research and Policies (TAGEM), University of Maribor, Faculty of Agriculture and Life Sciences (UM-FKBV) and Wageningen Environmental Research (WR).", "keywords": ["Proximal soil sensing", "ProbeField", "EJP SOIL", "Soil sciences", "Remote sensing"], "contacts": [{"organization": "Stenberg, Bo, Metzger, Konrad, Liebisch, Frank, Castaldi, Fabio, van Egmond, Fenny, Lozano Fond\u00f3n, Carlos, Ben Dor, Eyal,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14184826"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14184826", "name": "item", "description": "10.5281/zenodo.14184826", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14184826"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14214677", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-25T16:22:40Z", "type": "Report", "title": "A fieldwork protocol and procedures for cost-benefit estimation for using proximal soil sensing methods", "description": "The general objective of this protocol is to compare the results of spatializing soil properties as predicted by Proximal Soil Sensors (PSS) used by the ProbeField partners. It also aims to establish a standard methodology for conducting field experiments and analyzing the data.\u00a0     Specifically, this protocol aims to provide I) insights about soil sampling design using covariates for the areas of interest; II) evaluate the suitability of measurements by applying protocols in the field during the PSS surveys; III) interpolation approaches to create baseline maps and IV) insights into the accuracies attainable using single versus combined PSS techniques, and incorporating data fusion with both linear and non-linear modeling approaches. Finally, we provide V) methods for evaluating the entire process of estimating soil properties in terms of costs and benefits. The last section of the document provides examples of new and historical case studies where the protocol has been applied and includes cost-benefit analysis.", "keywords": ["EJP SOIL", "Probefield"], "contacts": [{"organization": "Lozano Fond\u00f3n, Carlos, Fantappi\u00e8, Maria, Roberto, Barbetti, PINAR, Melis \u00d6zge, Madenoglu, Sevinc, Fabio, Castaldi, Romina, Lorenzetti, Stenberg, Bo, Metzger, Konrad, Bor\u016fvka, Lubo\u0161, Khosravi, Vahid, Walvoort, Dennis, Pim, Dik, L\u00f3pez N\u00fa\u00f1ez, Rafael, A. Cayuela, Jos\u00e9, Koganti, Triven, Fenny, van Egmond,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14214677"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14214677", "name": "item", "description": "10.5281/zenodo.14214677", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14214677"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-25T00:00:00Z"}}, {"id": "10.5281/zenodo.14224783", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:22:41Z", "type": "Dataset", "title": "D.2.4_ProbeField_Field Measurements Examples Over 5 Case Studies_V1", "description": "This dataset comprises pre-processed field spectra, including 132 Bare Fiber and 29 SoilPRO\u00ae spectra collected from five distinct sites representing various applications. The SoilPRO\u00ae (SP) apparatus is specifically designed to measure the reflectance of undisturbed soil surfaces, with the portable spectrometers operating in the 350\u20132500 nm range, integrated into a fixed geometry setup with stable tungsten-halogen illumination. Due to the high stability of the SoilPRO\u00ae apparatus, each spectrum represents the average reflectance from three repetitions. Alongside spectral acquisition, several soil surface properties were measured, including hydrophobicity, measurement stability relative to the Contact Probe and Bare Fiber, and spatial variation across an extensive calibration area (1000 m\u00b2). The dataset also includes measurements of soil reflectance under low solar elevation conditions near the South Pole. Average spectra obtained with the SP apparatus for different bare soil surface covers and the comparison with spectra obtained with the Bare Fiber are also included.", "keywords": ["EJP SOIL", "ProbeField", "Field measurements", "Soil reflectance", "SoilPRO", "Soil surface properties"], "contacts": [{"organization": "Ben Dor, Eyal, Granot, Amihai, Rony, Wallach, Francos, Nicolas, Heller Pearlstein, Daniela, Efrati, Bar, Bor\u016fvka, Lubo\u0161, Gholizadeh, Asa, Schmid, Thomas,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14224783"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14224783", "name": "item", "description": "10.5281/zenodo.14224783", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14224783"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-26T00:00:00Z"}}, {"id": "10.5281/zenodo.14224784", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:22:41Z", "type": "Dataset", "title": "D.2.4_ProbeField_Field Measurements Examples Over 5 Case Studies_V1", "description": "This dataset comprises pre-processed field spectra, including 132 Bare Fiber and 29 SoilPRO\u00ae spectra collected from five distinct sites representing various applications. The SoilPRO\u00ae (SP) apparatus is specifically designed to measure the reflectance of undisturbed soil surfaces, with the portable spectrometers operating in the 350\u20132500 nm range, integrated into a fixed geometry setup with stable tungsten-halogen illumination. Due to the high stability of the SoilPRO\u00ae apparatus, each spectrum represents the average reflectance from three repetitions. Alongside spectral acquisition, several soil surface properties were measured, including hydrophobicity, measurement stability relative to the Contact Probe and Bare Fiber, and spatial variation across an extensive calibration area (1000 m\u00b2). The dataset also includes measurements of soil reflectance under low solar elevation conditions near the South Pole. Average spectra obtained with the SP apparatus for different bare soil surface covers and the comparison with spectra obtained with the Bare Fiber are also included.", "keywords": ["EJP SOIL", "ProbeField", "Field measurements", "Soil reflectance", "SoilPRO", "Soil surface properties"], "contacts": [{"organization": "Ben Dor, Eyal, Granot, Amihai, Rony, Wallach, Francos, Nicolas, Heller Pearlstein, Daniela, Efrati, Bar, Bor\u016fvka, Lubo\u0161, Gholizadeh, Asa, Schmid, Thomas,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14224784"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14224784", "name": "item", "description": "10.5281/zenodo.14224784", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14224784"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-26T00:00:00Z"}}, {"id": "10.5281/zenodo.16032454", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:23:14Z", "type": "Dataset", "title": "Dataset to: Austrian NIR Soil Spectral Library for Soil Health Assessments", "description": "Dataset description  This is the corresponding dataset to the publication 'Austrian NIR Soil Spectral Library for Soil Health Assessments' by Fohrafellner et al. (2025). In this publication, we created the first Austrian Near-Infrared (NIR) Soil Spectral Library (680 \u2013 2500 nm) using 2,129 legacy samples from all environmental zones of Austria. Additionally, we utilized partial least squares regression modeling to evaluate the dataset's current effectiveness for soil health assessments. The dataset contains three tabs, 'Document meta data', 'Legend' and 'Dataset'. Tab 'Document meta data' gives information on the authors, the data collection time frame, terms of use, etc. In 'Legend', each column of the 'Dataset' is described. The 'Dataset' contains information on the legacy soil samples including:\u00a0    meta data (e.g. sample number, sampling year, zip code, environmental zone, land use),   soil properties (soil organic carbon [SOC], SOC to clay ratio, total carbon, labile carbon, CaCO3, total nitrogen, plant available phosphorus, pH measured in CaCl2 and acetate, cation exchange capacity, texture [sand, silt, clay content], and clay content measured by density in suspension), and  measured NIR soil spectra, also for the standards.   Project description  This Austrian NIR Soil Spectral Library was built within the ProbeField project (November 2021 \u2013 January 2025), which was part of the European Joint Program for SOIL 'Towards climate-smart sustainable management of agricultural soils' (EJP SOIL) funded by the European Union Horizon 2020 research and innovation programme (Grant Agreement N\u00b0 862695). The project aimed to create a protocol detailing procedures and methodologies for accurately estimating fertility-related properties in agricultural soils in the field. Additionally, the potential for extending this data to two- and three-dimensional mapping using co-variates was demonstrated. ProbeField further collected field spectra that closely match laboratory spectra, enabling the prediction of soil properties using models calibrated with soil spectral libraries.  References  Fohrafellner, J., Lippl, M., Bajraktarevic, A., Baumgarten, A., Spiegel, H., K\u00f6rner, R. and Sand\u00e9n, T.: Austrian NIR Soil Spectral Library for Soil Health Assessments, 2025, in review.", "keywords": ["EJP SOIL", "ProbeField", "spectroscopy", "data", "near-infrared"], "contacts": [{"organization": "Fohrafellner, Julia", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.16032454"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.16032454", "name": "item", "description": "10.5281/zenodo.16032454", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.16032454"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-17T00:00:00Z"}}, {"id": "10.5281/zenodo.17121809", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-25T16:23:16Z", "type": "Dataset", "title": "D4.1 Review on Accuracy of Proximal Soil Sensors Dataset", "description": "Dataset on accuracies of the working review paper on costs and accuracies associated with using proximal soil sensing for high-resolution soil mapping. The RMSE data and related information were extracted from around 200 articles (references are included). This dataset is associated with the following DOI: https://doi.org/10.5281/zenodo.14035520", "keywords": ["EJP SOIL", "Probefield", "Life Science"], "contacts": [{"organization": "Lozano Fond\u00f3n, Carlos, PINAR, Melis \u00d6zge, Madenoglu, Sevinc, Barbetti, Roberto, Sand\u00e9n, Taru, Buttafuoco, Gabriele, Lorenzetti, Romina, Knadel, Maria, Stenberg, Bo, Metzger, Konrad, Liebisch, Frank, Gholizadeh, Asa, L\u00f3pez N\u00fa\u00f1ez, Rafael, Fantappi\u00e8, Maria, van Egmond, Fenny, Koganti, Triven,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17121809"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17121809", "name": "item", "description": "10.5281/zenodo.17121809", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17121809"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10261/362619", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:24:44Z", "type": "Report", "title": "LA PREDICCION DEL CONTENIDO EN CARBONO EN SUELOS MEDIANTE ANALISIS QUIMIOMETRICO DE ESPECTROS INFRARROJOS", "description": "Open AccessNo", "keywords": ["Sensores proximales", "PLS", "EJP Soil; 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