{"type": "FeatureCollection", "features": [{"id": "10.18738/T8/DFBE1M", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:19:30Z", "type": "Dataset", "created": "2021-05-05", "title": "Stiffness and Strength of Stabilized Organic Soils\u2014Part II/II: Parametric Analysis and Modeling with Machine Learning", "description": "Predicting the range of achievable strength and stiffness from stabilized soil mixtures is critical for engineering design and construction, especially for organic soils, which are often considered \u201cunsuitable\u201d due to their high compressibility and the lack of knowledge about their mechanical behavior after stabilization. This study investigates the mechanical behavior of stabilized organic soils using machine learning (ML) methods. ML algorithms were developed and trained using a database from a comprehensive experimental study (see Part I), including more than one thousand unconfined compression tests on organic clay samples stabilized by wet soil mixing (WSM) technique. Three different ML methods were adopted and compared, including two artificial neural networks (ANN) and a linear regression method. ANN models proved reliable in the prediction of the stiffness and strength of stabilized organic soils, significantly outperforming linear regression models. Binder type, mixing ratio, soil organic and water content, sample size, aging, temperature, relative humidity, and carbonation were the control variables (input parameters) incorporated into the ML models. The impacts of these factors were evaluated through rigorous ANN-based parametric analyses. Additionally, the nonlinear relations of stiffness and strength with these parameters were developed, and their optimum ranges were identified through the ANN models. Overall, the robust ML approach presented in this paper can significantly improve the mixture design for organic soil stabilization and minimize the experimental cost for implementing WSM in engineering projects.", "keywords": ["Chemistry", "Engineering", "Stabilized Organic Soils", "Computer and Information Science", "Earth and Environmental Sciences"]}, "links": [{"href": "https://doi.org/10.18738/T8/DFBE1M"}, {"rel": "self", "type": "application/geo+json", "title": "10.18738/T8/DFBE1M", "name": "item", "description": "10.18738/T8/DFBE1M", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.18738/T8/DFBE1M"}, {"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": "10.18738/T8/N3XJPB", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:19:30Z", "type": "Dataset", "created": "2021-05-06", "title": "Stiffness and Strength of Stabilized Organic Soils\u2014Part I/II: Experimental Database and Statistical Description for Machine Learning Modelling", "description": "This paper presents the experimental database and corresponding statistical analysis (Part I), which serves as a basis to perform the corresponding parametric analysis and machine learning modelling (Part II) of a comprehensive study on organic soil strength and stiffness, stabilized via the wet soil mixing method. The experimental database includes unconfined compression tests performed under laboratory-controlled conditions to investigate the impact of soil type, the soil\u2019s organic content, the soil\u2019s initial natural water content, binder type, binder quantity, grout to soil ratio, water to binder ratio, curing time, temperature, curing relative humidity and carbon dioxide content on the stabilized organic specimens\u2019 stiffness and strength. A descriptive statistical analysis complements the description of the experimental database, along with a qualitative study on the stabilization hydration process via scanning electron microscopy images. Results confirmed findings on the use of Portland cement alone and a mix of Portland cement with ground granulated blast furnace slag as suitable binders for soil stabilization. Findings on mixes including lime and magnesium oxide cements demonstrated minimal stabilization. Specimen size affected stiffness, but not the strength for mixes of peat and Portland cement. The experimental database, along with all produced data analyses, are available at the Texas Data Repository as indicated in the Data Availability Statement below, to allow for data reproducibility and promote the use of artificial intelligence and machine learning competing modelling techniques as the ones presented in Part II of this paper.", "keywords": ["Chemistry", "Engineering", "Stabilized Organic Soils", "Computer and Information Science", "Earth and Environmental Sciences"], "contacts": [{"organization": "Hernandez-Martinez, Francisco Gabriel, Al-Tabbaa, Abir, Medina-Cetina, Zenon, Yousefpour, Negin,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.18738/T8/N3XJPB"}, {"rel": "self", "type": "application/geo+json", "title": "10.18738/T8/N3XJPB", "name": "item", "description": "10.18738/T8/N3XJPB", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.18738/T8/N3XJPB"}, {"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": "10.5281/zenodo.16026838", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:22:27Z", "type": "Dataset", "title": "Greenhouse gas mitigation potential of temperate fen paludicultures - Dataset", "description": "See ReadMe file for detailed description of available data and code.  Title of the associated publication: \u201cGreenhouse gas mitigation potential of temperate fen paludicultures\u201d  Authors: Carla Bockermann\u26661,2 https://orcid.org/0000-0002-9484-5746, Tim Eickenscheidt\u26661 https://orcid.org/0000-0002-3036-3238, Matthias Dr\u00f6sler https://orcid.org/0009-0007-4523-6964  \u2666Joint First Authorship: Carla Bockermann and Tim Eickenscheidt should be considered joint first author.  Institutional affiliations: 1Weihenstephan-Triesdorf University of Applied Sciences, Peatland Science Centre (PSC), Freising, Germany; 2Technical University of Munich, TUM School of Life Sciences, Freising, Germany  Corresponding Author Contact Information: carla.bockermann@hswt.de\u2003  Abstract: Peatlands lose their valuable carbon (C) sink function under intensive land use and turn into greenhouse gases (GHG) emission hotspots. Despite scarce empirical evidence, paludiculture is expected to have significant GHG mitigation potential for organic soils. This study provides the first comprehensive dataset on full GHG balances for newly established fen paludicultures over a water table (WT) gradient spanning annual mean WT of \u22120.29 m to +0.04 m, stratified into moderately rewetted conditions (\u22120.30 m < WT < \u22120.10 m) and rewetted conditions (WT \u2265 \u22120.10 m). We used manual and novel automated chambers to measure annual carbon dioxide (CO2), methane and nitrous oxide emissions from five typical fen plant species (Carex acutiformis, Phalaris arundinacea, Phragmites australis, Typha angustifolia and T. latifolia) newly established as peatland biomass crops in three temperate fen peatlands in southern Germany. Our study confirms a significant GHG mitigation potential for the tested plant species and found a C sink function of paludiculture. The results yield preliminary emission factors of \u22120.1 and \u221212.0 t CO2-equivalents ha\u22121 yr\u22121 under moderately rewetted conditions (n=39) and under rewetted conditions (n=43), respectively. We further identify an optimal annual mean WT of \u22120.07 m for maximizing GHG reduction across all plant species and sites with a net C sink achieved at a mean annual WT of \u2265 \u22120.12 m. Presuming the conversion of arable land into paludiculture, a mitigation potential of up to \u221251.9 t CO2-equivalent is attainable per hectare and year. These findings highlight that well-managed paludiculture could make a considerable contribution toward achieving the politically targeted CO2 sink function in the LULUCF sector.", "keywords": ["peatland", " organic soil", " water table", " Carex", " Phalaris", " Phragmites", " Typha", " LULUCF", " preliminary emission factor", " carbon balance"], "contacts": [{"organization": "Bockermann, Carla, Eickenscheidt, Tim, Dr\u00f6sler, Matthias,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.16026838"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.16026838", "name": "item", "description": "10.5281/zenodo.16026838", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.16026838"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-17T00:00:00Z"}}, {"id": "0d096f9b-ba14-4801-b395-634f0c8c9e25", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-180.0, -90.0], [-180.0, 90.0], [180.0, 90.0], [180.0, -90.0], [-180.0, -90.0]]]}, "properties": {"themes": [{"concepts": [{"id": "environment"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [], "scheme": "Continents, countries, sea regions of the world."}], "updated": "2022-06-02T07:56:26", "language": "eng", "title": "FAOSTAT Area of drained organic soils (Global - Yearly - ha)", "description": "This is the first of two associate metadata and datasets. It describes and disseminates the geospatial data which underlie FAOSTAT statistics on drained organic soils. Particularly, this metadata includes the annual area drained by cropland and grazed grassland on organic soils (in ha) for the years 1992 \u2013 2018. The associate geospatial dataset is named Drained Organic Soils Area Annual (DROSA - A).\n\nOrganic soils are wet soils ecosystems, characterized by high levels of organic matter, which accumulates under the anoxic conditions that exist in the presence of water. They include tropical and boreal peatlands, high-latitude bogs, ferns and mires. While organic soils cover globally a mere 3 percent of the terrestrial land area, they represent up to 30 percent of the total soil carbon, playing an important role in maintaining the earth\u2019s carbon balance. Agriculture is a major cause of drainage of organic soils around the world and restoration of degraded organic soils is currently a priority in several countries as part of their commitments under the climate convention. \n\nEstimates of drainage area and greenhouse gas (GHG) emissions from organic soils for the year 2000 were developed earlier by FAO and used by the Intergovernmental Panel on Climate Change (IPCC) for global analysis. That preliminary work was based on the geospatial overlay of two static maps, one for land cover, indicating presence of agriculture, and one for soil characteristics, indicating presence of organic soils. \n\nThis version advances with additional methodological developments which, owing to the availability of time dependent land cover maps,  resulted in the production, for the first time, of estimates over a complete time series (1990 \u2013 2019). Geospatial data are then aggregated at national level and disseminated in FAOSTAT with a structure in line with country reporting requirements to the Climate Convention and following 2006 IPCC guidelines. FAOSTAT estimates use histosols as proxy for presence of organic soils, in agreement with IPCC and annual land cover maps as time-dependent component. \n\nMore information can be found in:\n\na) FAO 2020. Drained organic soils 1990 \u2013 2019. Global, regional and country trends. 3rd FAOSTAT Analytical Brief Series (under finalization)\n\nb) Conchedda G. and F.N. Tubiello. Area of Drained Organic Soils and Associated Greenhouse Gas Emissions. Validation of FAOSTAT estimates with country data. FAO Statistics Working Paper Series (submitted) \n\nc) Tubiello F.N., Biancalani R., Salvatore M., Rossi S., and Conchedda G. 2016. A worldwide assessment of greenhouse gas emissions from drained organic soils. Sustainability 8, 371. 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It describes and disseminates the geospatial data which underlie FAOSTAT statistics on drained organic soils. Particularly, this metadata includes the N2O and C emissions (in gigagrams)  from cropland and grazed grassland on organic soils for the years 1992 \u2013 2018. The associate geospatial dataset is named Drained Organic Soils Emissions - Annual (DROSE - A).\n\nOrganic soils are wet soils ecosystems, characterized by high levels of organic matter, which accumulates under the anoxic conditions that exist in the presence of water. They include tropical and boreal peatlands, high-latitude bogs, ferns and mires. While organic soils cover globally a mere 3 percent of the terrestrial land area, they represent up to 30 percent of the total soil carbon, playing an important role in maintaining the earth\u2019s carbon balance. Agriculture is a major cause of drainage of organic soils around the world and restoration of degraded organic soils is currently a priority in several countries as part of their commitments under the climate convention. \n\nEstimates of drainage area and greenhouse gas (GHG) emissions from organic soils for the year 2000 were developed earlier by FAO and used by the Intergovernmental Panel on Climate Change (IPCC) for global analysis. That preliminary work was based on the geospatial overlay of two static maps, one for land cover, indicating presence of agriculture, and one for soil characteristics, indicating presence of organic soils. \n\nThis version advances with additional methodological developments which, owing to the availability of time dependent land cover maps,  resulted in the production, for the first time, of estimates over a complete time series (1990 \u2013 2019). 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