{"type": "FeatureCollection", "features": [{"id": "10.1007/s00122-021-03815-0", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-29T16:14:29Z", "type": "Journal Article", "created": "2021-03-25", "title": "Genomic prediction models trained with historical records enable populating the German ex situ genebank bio-digital resource center of barley (Hordeum\u00a0sp.) with information on resistances to soilborne barley mosaic viruses", "description": "Abstract                 Key message                 <p>Genomic prediction with special weight of major genes is a valuable tool to populate bio-digital resource centers.</p>                                Abstract                 <p>Phenotypic information of crop genetic resources is a prerequisite for an informed selection that aims to broaden the genetic base of the elite breeding pools. We investigated the potential of genomic prediction based on historical screening data of plant responses against the Barley yellow mosaic viruses for populating the bio-digital resource center of barley. Our study includes dense marker data for 3838 accessions of winter barley, and historical screening data of 1751 accessions for Barley yellow mosaic virus (BaYMV) and of 1771 accessions for Barley mild mosaic virus (BaMMV). Linear mixed models were fitted by considering combinations for the effects of genotypes, years, and locations. The best linear unbiased estimations displayed a broad spectrum of plant responses against BaYMV and BaMMV. Prediction abilities, computed as correlations between predictions and observed phenotypes of accessions, were low for the marker-assisted selection approach amounting to 0.42. In contrast, prediction abilities of genomic best linear unbiased predictions were high, with values of 0.62 for BaYMV and 0.64 for BaMMV. Prediction abilities of genomic prediction were improved by up to\uffe2\uff80\uff89~\uffe2\uff80\uff895% using W-BLUP, in which more weight is given to markers with significant major effects found by association mapping. Our results outline the utility of historical screening data and W-BLUP model to predict the performance of the non-phenotyped individuals in genebank collections. The presented strategy can be considered as part of the different approaches used in genebank genomics to valorize genetic resources for their usage in disease resistance breeding and research.</p>", "keywords": ["Genetic Markers", "0301 basic medicine", "2. Zero hunger", "0303 health sciences", "Genotype", "Chromosome Mapping", "Genetic Variation", "Hordeum", "Genomics", "Potyviridae", "Linkage Disequilibrium", "Plant Breeding", "03 medical and health sciences", "Phenotype", "Databases", " Genetic", "Original Article", "Genetic Association Studies", "Disease Resistance", "Plant Diseases"]}, "links": [{"href": "https://link.springer.com/content/pdf/10.1007/s00122-021-03815-0.pdf"}, {"href": "https://doi.org/10.1007/s00122-021-03815-0"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Theoretical%20and%20Applied%20Genetics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00122-021-03815-0", "name": "item", "description": "10.1007/s00122-021-03815-0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00122-021-03815-0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-25T00:00:00Z"}}, {"id": "10.1073/pnas.1116364109", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-29T16:18:11Z", "type": "Journal Article", "created": "2012-01-10", "title": "High-Yield Maize With Large Net Energy Yield And Small Global Warming Intensity", "description": "<p>             Addressing concerns about future food supply and climate change requires management practices that maximize productivity per unit of arable land while reducing negative environmental impact. On-farm data were evaluated to assess energy balance and greenhouse gas (GHG) emissions of irrigated maize in Nebraska that received large nitrogen (N) fertilizer (183 kg of N\uffe2\uff8b\uff85ha             \uffe2\uff88\uff921             ) and irrigation water inputs (272 mm or 2,720 m             3             ha             \uffe2\uff88\uff921             ). Although energy inputs (30 GJ\uffe2\uff8b\uff85ha             \uffe2\uff88\uff921             ) were larger than those reported for US maize systems in previous studies, irrigated maize in central Nebraska achieved higher grain and net energy yields (13.2 Mg\uffe2\uff8b\uff85ha             \uffe2\uff88\uff921             and 159 GJ\uffe2\uff8b\uff85ha             \uffe2\uff88\uff921             , respectively) and lower GHG-emission intensity (231 kg of CO             2             e\uffe2\uff8b\uff85Mg             \uffe2\uff88\uff921             of grain). Greater input-use efficiencies, especially for N fertilizer, were responsible for better performance of these irrigated systems, compared with much lower-yielding, mostly rainfed maize systems in previous studies. Large variation in energy inputs and GHG emissions across irrigated fields in the present study resulted from differences in applied irrigation water amount and imbalances between applied N inputs and crop N demand, indicating potential to further improve environmental performance through better management of these inputs. Observed variation in N-use efficiency, at any level of applied N inputs, suggests that an N-balance approach may be more appropriate for estimating soil N             2             O emissions than the Intergovernmental Panel on Climate Change approach based on a fixed proportion of applied N. Negative correlation between GHG-emission intensity and net energy yield supports the proposition that achieving high yields, large positive energy balance, and low GHG emissions in intensive cropping systems are not conflicting goals.           </p>", "keywords": ["land use change", "Greenhouse Effect", "2. Zero hunger", "Agricultural Irrigation", "330", "Databases", " Factual", "Plant Sciences", "Nitrous Oxide", "Agriculture", "Nebraska", "food security", "04 agricultural and veterinary sciences", "crop intensification", "15. Life on land", "Zea mays", "6. Clean water", "Soil", "13. Climate action", "Air Pollution", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries", "agro-ecosystem", "Fertilizers", "environmental footprint"], "contacts": [{"organization": "Grassini, Patricio, Cassman, Kenneth,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1073/pnas.1116364109"}, {"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.1116364109", "name": "item", "description": "10.1073/pnas.1116364109", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1073/pnas.1116364109"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-01-09T00:00:00Z"}}, {"id": "10.1038/s41467-020-16438-8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-29T16:17:48Z", "type": "Journal Article", "created": "2020-05-25", "title": "Large-scale genome-wide analysis links lactic acid bacteria from food with the gut microbiome", "description": "Abstract<p>Lactic acid bacteria (LAB) are fundamental in the production of fermented foods and several strains are regarded as probiotics. Large quantities of live LAB are consumed within fermented foods, but it is not yet known to what extent the LAB we ingest become members of the gut microbiome. By analysis of 9445 metagenomes from human samples, we demonstrate that the prevalence and abundance of LAB species in stool samples is generally low and linked to age, lifestyle, and geography, with Streptococcus thermophilus and Lactococcus lactis being most prevalent. Moreover, we identify genome-based differences between food and gut microbes by considering 666 metagenome-assembled genomes (MAGs) newly reconstructed from fermented food microbiomes along with 154,723 human MAGs and 193,078 reference genomes. Our large-scale genome-wide analysis demonstrates that closely related LAB strains occur in both food and gut environments and provides unprecedented evidence that fermented foods can be indeed regarded as a possible source of LAB for the gut microbiome.</p>", "keywords": ["Primates", "0301 basic medicine", "2. Zero hunger", "0303 health sciences", "Science", "Probiotics", "Q", "gut microbiome", "Article", "Gastrointestinal Microbiome", "lactic acid bacteria", "Lactococcus lactis", "03 medical and health sciences", "Lactobacillales", "Databases", " Genetic", "Food Microbiology", "Animals", "Humans", "Metagenome", "Streptococcus thermophilus", "Fermented Foods", "[PHYS.ASTR] Physics [physics]/Astrophysics [astro-ph]", "Life Style", "genome analysis"]}, "links": [{"href": "https://iris.unitn.it/bitstream/11572/269813/1/s41467-020-16438-8.pdf"}, {"href": "https://www.iris.unina.it/bitstream/11588/811717/2/NatComm%2c2020_LABfoodgut.pdf"}, {"href": "https://www.nature.com/articles/s41467-020-16438-8.pdf"}, {"href": "https://doi.org/10.1038/s41467-020-16438-8"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Communications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41467-020-16438-8", "name": "item", "description": "10.1038/s41467-020-16438-8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41467-020-16438-8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-05-25T00:00:00Z"}}, {"id": "10.1111/ejss.13398", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-29T16:18:46Z", "type": "Journal Article", "created": "2023-07-12", "title": "National soil data in EU countries, where do we stand?", "description": "Abstract<p>At the European scale, soil characteristics are needed to evaluate soil quality, soil health and soil\uffe2\uff80\uff90based ecosystem services in the context of the European Green Deal. While some soil databases exist at the European scale, a much larger wealth of data is present in individual European countries, allowing a more detailed soil assessment. There is thus an urgent and crucial need to combine these data at the European scale. In the frame of a large European Joint Programme on agricultural soils launched by the European Commission, a survey was conducted in the spring of 2020, in the 24 European participating countries to assess the existing soil data sources, focusing on agricultural soils. The survey will become a contribution to the European Soil Observatory, launched in December 2020, which aims to collect metadata of soil databases related to all kind of land uses, including forest and urban soils. Based upon a comprehensive questionnaire, 170 soil databases were identified at local, regional and national scales. Soil parameters were divided into five groups: (1) main soil parameters according to the Global Soil Map specifications; (2) other soil chemical parameters; (3) other physical parameters; (4) other pedological parameters; and (5) soil biological features. A classification based on the environmental zones of Europe was used to distinguish the climatic zones. This survey shows that while most of the main pedological and chemical parameters are included in more than 70% of the country soil databases, water content, contamination with organic pollutants, and biological parameters are the least frequently reported parameters. Such differences will have consequences when developing an EU policy on soil health as proposed under the EU soil strategy for 2023 and using the data to derive soil health indicators. Many differences in the methods used in collecting, preparing, and analysing the soils were found, thus requiring harmonization procedures and more cooperation among countries and with the EU to use the data at the European scale. In addition, choosing harmonized and useful interpretation and threshold values for EU soil indicators may be challenging due to the different methods used and the wide variety of soil land\uffe2\uff80\uff90use and climate combinations influencing possible thresholds. The temporal scale of the soil databases reported is also extremely wide, starting from the '20s of the 20th century.</p", "keywords": ["Agricultural soil databases", "550", "EJP SOIL programme", "soil parameters", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "630", "soil", "Soil", "Soil data", "11. Sustainability", "soil parameter", "survey", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "agricultural soil databases", "2. Zero hunger", "EJP SOIL", "harmonisation", "indicator", "15. Life on land", "6. Clean water", "Europe", "data", "13. Climate action", "Harmonization", "harmonization", "agricultural soil database", "soil data"]}, "links": [{"href": "https://pure.iiasa.ac.at/id/eprint/18926/1/European%20J%20Soil%20Science%20-%202023%20-%20Cornu%20-%20National%20soil%20data%20in%20EU%20countries%20where%20do%20we%20stand.pdf"}, {"href": "https://doi.org/10.1111/ejss.13398"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/ejss.13398", "name": "item", "description": "10.1111/ejss.13398", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/ejss.13398"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-07-01T00:00:00Z"}}, {"id": "10.18419/opus-2935", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-29T16:20:02Z", "type": "Report", "title": "Datenmanagementpatterns in multi-skalaren Simulationsworkflows", "description": "In den vergangenen Jahren haben sich im unternehmerischen Umfeld Workflows zur Beschreibung und Ausf\u00fchrung von (Gesch\u00e4fts-)Prozessen durchgesetzt. Seit kurzem wird diese Technologie auch in der Wissenschaft eingesetzt. Z.B. werden Simulationsabl\u00e4ufe als Workflows modelliert. Charakteristisch f\u00fcr solche Simulationen bzw. Simulationsabl\u00e4ufe sind komplexe mathematische Berechnungen sowie verschiedene Aufgaben im Bereich der Datenverwaltung und Datenbereitstellung. Oftmals m\u00fcssen gro\u00dfe Datenmengen, die in propriet\u00e4ren Formaten vorliegen, aus verschiedenen Quellen verarbeitet werden. Damit diese Daten durch einen Simulationsworkflow und den von ihm eingebundenen Programmen und Diensten verarbeitet werden k\u00f6nnen, m\u00fcssen sie in passende Eingabeformate transformiert werden. Gerade bei umfangreichen Simulationen, die eine Vielzahl an Datenquellen ben\u00f6tigen, f\u00fchrt dies aufgrund der enormen Komplexit\u00e4t zu Problemen. Um diese Probleme zu l\u00f6sen, wurde das SIMPL-Rahmenwerk (SimTech - Information Management, Processes and Languages) entwickelt. Das SIMPL-Rahmenwerk ist in ein Scientifc Workflow Management System eingebettet und schafft eine Abstraktionsebene f\u00fcr die Defnition des Datenmanagements. SIMPL bietet einheitliche Zugriffsmethoden, um, aus einem Simulationsworkflow heraus, auf beliebige Datenquellen zuzugreifen. Ein weiterer Bestandteil des SIMPL-Rahmenwerks sind Datenmanagementpatterns. Dabei handelt es sich um vorgefertigte Datenmanagement-Operationen, die nur noch parametrisiert werden m\u00fcssen. Auf diese Weise wird eine neue Abstraktionsebene geschaffen. In einer vorherigen Arbeit wurden bereits erste Datenmanagementpatterns erarbeitet. So k\u00f6nnen z.B. Daten zwischen zwei Datenressourcen ausgetauscht werden. Des Weiteren wurde ein Konzept erarbeitet, um Datenmanagementpatterns auf ausf\u00fchrbare Workflow-Fragmente abzubilden. Dieses Konzept nutzt Transformationsregeln sowie gespeicherte Metadaten \u00fcber beteiligte Ressourcen als Basis. Im Rahmen dieser Diplomarbeit wird das bereits entwickelte Konzept erweitert und wenn n\u00f6tig angepasst, um auf multi-skalare Simulationen angewendet werden zu k\u00f6nnen. Dar\u00fcber hinaus wird die prototypische Umsetzung des SIMPL-Rahmenwerks um Datenmanagementpatterns erweitert.", "keywords": ["000", "Heterogeneous Databases (CR H.2.5)", "Datenmanagementpatterns", "Software Engineering Software Architectures (CR D.2.11)", "wissenschaftliche Workflows", "Office Automation (CR H.4.1)", "Datenmanagement", "Simulationsworkflows", "Simulation Support Systems (CR I.6.7)", "Datenbereitstellung", "004"], "contacts": [{"organization": "Pietranek, Henrik Andreas", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.18419/opus-2935"}, {"rel": "self", "type": "application/geo+json", "title": "10.18419/opus-2935", "name": "item", "description": "10.18419/opus-2935", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.18419/opus-2935"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14179949", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-29T16:22:43Z", "type": "Dataset", "title": "EOM4SOIL - Physico-chemical characteristics of external organic matters (EOMs) database", "description": "Physico-chemical characteristics of external organic matters (EOMs) database. The database is a non-relationnal database in column format. Established in the EJP Soil EOM4SOIL project, the database considers physico-chemical characteristics from about 120 types of EOMs encompassing urban, industrial and agricultural origins (e.g. urine, sludge, composts, digestates, farmyard manures; from various origins) and about 90 characteristics (major elements, mineral trace elements, emerging contaminants, mineralised C and N). There is an average of about 20 variables collected per type of EOM. The Physico-chemical characteristics EOM database gathered EOM references collected in national databases and surveys from various European countries completed by data published in scientific articles.", "keywords": ["Non-relational databases", "FOS: Agricultural sciences", "Sustainable agriculture", "Agricultural sciences", "organic matter"], "contacts": [{"organization": "Michaud, Aur\u00e9lia, Van Der Smissen, H\u00e9l\u00e8ne, Tampio, Elina, Laakso, Johanna, Levavasseur, Florent, Barcauskaite, Karolina, Lasorella, Valentina, Criscuoli, Irene, Asperen, Paulien, Dehaan, Janjo, Jimenez, Julie, Caradec, Lucille, Houot, Sabine,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14179949"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14179949", "name": "item", "description": "10.5281/zenodo.14179949", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14179949"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-22T00:00:00Z"}}, {"id": "10.5281/zenodo.14917034", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-29T16:22:59Z", "type": "Dataset", "title": "Peatland Decomposition Database (1.1.0)", "description": "1 Introduction  The Peatland Decomposition Database (PDD) stores data from published litterbag experiments related to peatlands. Currently, the database focuses on northern peatlands and Sphagnum litter and peat, but it also contains data from some vascular plant litterbag experiments. Currently, the database contains entries from 34 studies, 2,160 litterbag experiments, and 7,297 individual samples with 117,841 measurements for various attributes (e.g.\u00a0relative mass remaining, N content, holocellulose content, mesh size). The aim is to provide a harmonized data source that can be useful to re-analyse existing data and to plan future litterbag experiments.  The Peatland Productivity and Decomposition Parameter Database (PPDPD) (Bona et al. 2018) is similar to the Peatland Decomposition Database (PDD) in that both contain data from peatland litterbag experiments. The differences are that both databases partly contain different data, that PPDPD additionally contains information on vegetation productivity, which PDD does not, and that PDD provides more information and metadata on litterbag experiments, and also measurement errors.     2 Updates  Compared to version 1.0.0, this version has a new structure for table experimental_design_format, contains additional metadata on the experimental design (these were omitted in version 1.0.0), and contains the scripts that were used to import the data into the database.     3 Methods    3.1 Data collection  Data for the database was collected from published litterbag studies, by extracting published data from figures, tables, or other data sources, and by contacting the authors of the studies to obtain raw data. All data processing was done with R (R version 4.2.0 (2022-04-22)) (R Core Team 2022).  Studies were identified via a Scopus search with search string (TITLE-ABS-KEY ( peat* AND ( 'litter bag' OR 'decomposition rate' OR 'decay rate' OR 'mass loss')) AND NOT ('tropic*')) (2022-12-17). These studies were further screened to exclude those which do not contain litterbag data or which recycle data from other studies that have already been considered. Additional studies with litterbag experiments in northern peatlands we were aware of, but which were not identified in the literature search were added to the list of publications. For studies not older than 10 years, authors were contacted to obtain raw data, however this was successful only in few cases. To date, the database focuses on Sphagnum litterbag experiments and not from all studies that were identified by the literature search data have been included yet in the database.  Data from figures were extracted using the package \u2018metaDigitise\u2019 (1.0.1) (Pick, Nakagawa, and Noble 2018). Data from tables were extracted manually.  Data from the following studies are currently included: Farrish and Grigal (1985), Bartsch and Moore (1985), Farrish and Grigal (1988), Vitt (1990), Hogg, Lieffers, and Wein (1992), Sanger, Billett, and Cresser (1994), Hiroki and Watanabe (1996), Szumigalski and Bayley (1996), Prevost, Belleau, and Plamondon (1997), Arp, Cooper, and Stednick (1999), Robbert A. Scheffer and Aerts (2000), R. A. Scheffer, Van Logtestijn, and Verhoeven (2001), Limpens and Berendse (2003), Waddington, Rochefort, and Campeau (2003), Asada, Warner, and Banner (2004), Thormann, Bayley, and Currah (2001), Trinder, Johnson, and Artz (2008), Breeuwer et al. (2008), Trinder, Johnson, and Artz (2009), Bragazza and Iacumin (2009), Hoorens, Stroetenga, and Aerts (2010), Strakov\u00e1 et al. (2010), Strakov\u00e1 et al. (2012), Orwin and Ostle (2012), Lieffers (1988), Manninen et al. (2016), Johnson and Damman (1991), Bengtsson, Rydin, and H\u00e1jek (2018a), Bengtsson, Rydin, and H\u00e1jek (2018b), Asada and Warner (2005), Bengtsson, Granath, and Rydin (2017), Bengtsson, Granath, and Rydin (2016), Hagemann and Moroni (2015), Hagemann and Moroni (2016), B. Piatkowski et al. (2021), B. T. Piatkowski et al. (2021), M\u00e4kil\u00e4 et al. (2018), Golovatskaya and Nikonova (2017), Golovatskaya and Nikonova (2017).      4 Database records  The database is a \u2018MariaDB\u2019 database and the database schema was designed to store data and metadata following the Ecological Metadata Language (EML) (Jones et al. 2019). Descriptions of the tables are shown in Tab. 1.  The database contains general metadata relevant for litterbag experiments (e.g., geographical, temporal, and taxonomic coverage, mesh sizes, experimental design). However, it does not contain a detailed description of sample handling, sample preprocessing methods, site descriptions, because there currently are no discipline-specific metadata and reporting standards. Table 1: Description of the individual tables in the database.     Name Description     attributes Defines the attributes of the database and the values in column attribute_name in table data.   citations Stores bibtex entries for references and data sources.   citations_to_datasets Links entries in table citations with entries in table datasets.   custom_units Stores custom units.   data Stores measured values for samples, for example remaining masses.   datasets Lists the individual datasets.   experimental_design_format Stores information on the experimental design of litterbag experiments.   measurement_scales, measurement_scales_date_time, measurement_scales_interval, measurement_scales_nominal, measurement_scales_ordinal, measurement_scales_ratio Defines data value types.   missing_value_codes Defines how missing values are encoded.   samples Stores information on individual samples.   samples_to_samples Links samples to other samples, for example litter samples collected in the field to litter samples collected during the incubation of the litterbags.   units, unit_types Stores information on measurement units.        5 Attributes Table 2: Definition of attributes in the Peatland Decomposition Database and entries in the column attribute_name in table data.     Name Definition Example value Unit Measurement scale Number type Minimum value Maximum value String format     4_hydroxyacetophenone_mass_absolute A numeric value representing the content of 4-hydroxyacetophenone, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   4_hydroxyacetophenone_mass_relative_mass A numeric value representing the content of 4-hydroxyacetophenone, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   4_hydroxybenzaldehyde_mass_absolute A numeric value representing the content of 4-hydroxybenzaldehyde, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   4_hydroxybenzaldehyde_mass_relative_mass A numeric value representing the content of 4-hydroxybenzaldehyde, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   4_hydroxybenzoic_acid_mass_absolute A numeric value representing the content of 4-hydroxybenzoic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   4_hydroxybenzoic_acid_mass_relative_mass A numeric value representing the content of 4-hydroxybenzoic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   abbreviation In table custom_units: A string representing an abbreviation for the custom unit. gC NA nominal NA NA NA NA   acetone_extractives_mass_absolute A numeric value representing the content of acetone extractives, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   acetone_extractives_mass_relative_mass A numeric value representing the content of acetone extractives, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   acetosyringone_mass_absolute A numeric value representing the content of acetosyringone, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   acetosyringone_mass_relative_mass A numeric value representing the content of acetosyringone, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   acetovanillone_mass_absolute A numeric value representing the content of acetovanillone, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   acetovanillone_mass_relative_mass A numeric value representing the content of acetovanillone, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   arabinose_mass_absolute A numeric value representing the content of arabinose, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   arabinose_mass_relative_mass A numeric value representing the content of arabinose, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   ash_mass_absolute A numeric value representing the content of ash (after burning at 550\u00b0C). 4 g ratio real 0 Inf NA   ash_mass_relative_mass A numeric value representing the content of ash (after burning at 550\u00b0C). 0.05 g/g ratio real 0 Inf NA   attribute_definition A free text field with a textual description of the meaning of attributes in the dpeatdecomposition database. NA NA nominal NA NA NA NA   attribute_name A string describing the names of the attributes in all tables of the dpeatdecomposition database. attribute_name NA nominal NA NA NA NA   bibtex A string representing the bibtex code used for a literature reference throughout the dpeatdecomposition database. Galka.2021 NA nominal NA NA NA NA   bounds_maximum A numeric value representing the minimum possible value for a numeric attribute. 0 NA interval real Inf Inf NA   bounds_minimum A numeric value representing the maximum possible value for a numeric attribute. INF NA interval real Inf Inf NA   bulk_density A numeric value representing the bulk density of the sample [g cm-3]. 0,2 g/cm^3 ratio real 0 Inf NA   C_absolute The absolute mass of C in the sample. 1 g ratio real 0 Inf NA   C_relative_mass The absolute mass of C in the sample. 1 g/g ratio real 0 Inf NA   C_to_N A numeric value representing the C to N ratio of the sample. 35 g/g ratio real 0 Inf NA   C_to_P A numeric value representing the C to P ratio of the sample. 35 g/g ratio real 0 Inf NA   Ca_absolute The absolute mass of Ca in the sample. 1 g ratio real 0 Inf NA   Ca_relative_mass The absolute mass of Ca in the sample. 1 g/g ratio real 0 Inf NA   cation_exchange_capacity_absolute A numeric value representing the cation exchange capacity. 10 mol ratio real 0 Inf NA   cation_exchange_capacity_relative_mass A numeric value representing the cation exchange capacity relative to sample mass. 200 mol/g ratio real 0 Inf NA   cellulose_mass_absolute A numeric value representing the content of cellulose, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   cellulose_mass_relative_mass A numeric value representing the content of cellulose, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   comments_measurement A string representing comments on a measurement. NA NA nominal NA NA NA NA   comments_samples A free text field where you can enter all information related to the sample that is not covered by the remaining fields. For example you could provide information on potential contamination sources, issues with specific parameters, additional information to the sampling site, e.g.\u00a0present vegetation, past vegetation, specific conditions during sampling, \u2026 . \u2026 NA nominal NA NA NA NA   description A free text field. In table \u201ccustom_units\u201d: A description of a custom unit. NA NA nominal NA NA NA NA   dichloromethane_extractives_mass_absolute A numeric value representing the content of dichlromethane extractives, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   dichloromethane_extractives_mass_relative_mass A numeric value representing the content of dichlromethane extractives, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   dimension A string representing the dimension of the unit. L NA nominal NA NA NA NA   error A numeric value representing the error of the measured value. The unit of the error is defined by the corresponding attribute_name. 1.2 NA ratio real 0 Inf NA   error_type A character representing the type of the error of a measured value (e.g., sd, 95% interval, etc.). sd NA nominal NA NA NA NA   ethanol_extractives_mass_absolute A numeric value representing the content of ethanol extractives, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   ethanol_extractives_mass_relative_mass A numeric value representing the content of ethanol extractives, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   experimental_design A character of the format \u2018x_y_z_\u2026\u2019, where x, y, z, \u2026, are integers differentiating hierarchical groups of an experimental design. These groups are explained in table experimental_design_format \u2026 NA nominal NA NA NA NA   experimental_design_description A string describing the variables in the csv file identified by column file in table experimental_design_format for each dataset. \u2026 NA nominal NA NA NA NA   explanation In table missing_value_codes: A string explaining what the corresponding missing value code means. \u2026 NA nominal NA NA NA NA   Fe_absolute The absolute mass of Fe in the sample. 1 g ratio real 0 Inf NA   Fe_relative_mass The absolute mass of Fe in the sample. 1 g/g ratio real 0 Inf NA   ferulic_acid_mass_absolute A numeric value representing the content of ferulic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   ferulic_acid_mass_relative_mass A numeric value representing the content of ferulic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   file A string representing a path to a file. For table experimental_design_format: Path to a csv file providing details on the experimental design and manipulations. NA NA nominal NA NA NA NA   format_string A string defining the format of a nominal variable. YYYY-MM-DD NA nominal NA NA NA NA   galactose_mass_absolute A numeric value representing the content of galactose, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   galactose_mass_relative_mass A numeric value representing the content of galactose, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   galacturonic_acid_mass_absolute A numeric value representing the content of galacturonic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   galacturonic_acid_mass_relative_mass A numeric value representing the content of galacturonic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   glucose_mass_absolute A numeric value representing the content of glucose, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   glucose_mass_relative_mass A numeric value representing the content of glucose, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   glucuronic_acid_mass_absolute A numeric value representing the content of glucuronic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   glucuronic_acid_mass_relative_mass A numeric value representing the content of glucuronic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   ground_slope The slope of the sample (land surface) as fraction of the vertical distance covered and the horizontal distance. 0.2 cm/cm ratio real 0 Inf NA   holocellulose_mass_absolute A numeric value representing the absolute holocellulose mass in the sample. 0.45 g ratio real 0 Inf NA   holocellulose_mass_relative_mass A numeric value representing the holocellulose content of the sample [g/g]. 0.45 g/g ratio real 0 1 NA   id_citation An integer value representing an id for each entry in the table \u201ccitations\u201c in the dpeatdecomposition database. 1 NA interval natural 1 Inf NA   id_dataset A numeric id for the dataset (starting with 1 and increasing by 1; for one data contribution, this should be 1 for all samples and the appropriate id is assigned when the data are merged into the database). 1 NA interval natural 1 Inf NA   id_measurement A numeric id for measurements (starting with 1 and increasing by 1). This means that each measurement gets its own rows and measurements for different attributes are considered independent, i.e.\u00a0multiple measurement ids for the same sample just count replicate measurements for any attribute. For attributes with less measurements than for a different attribute, just fill measurements starting from smaller id_measurement and leave the cells in the remaining rows empty. 1 NA interval natural 1 Inf NA   id_measurement_denominator An integer value representing the identifier for the measurement which is used as denominator in computing a relative quantity (e.g.\u00a0the absolute mass of the initial sample when computing the mass fraction relative to the initial sample). 1 NA interval natural 1 Inf NA   id_measurement_numerator An integer value representing the identifier for the measurement which is used as numerator in computing a relative quantity (e.g.\u00a0the absolute mass of the sample when computing the mass fraction relative to the initial sample). 1 NA interval natural 1 Inf NA   id_measurement_scale An integer value representing an id for each entry in the table \u201cmeasurement_scales\u201c in the dpeatdecomposition database. 1 NA interval natural 1 Inf NA   id_missing_value_code An integer value representing an id for each entry in the table \u201cmissing_value_codes\u201c in the dpeatdecomposition database. 1 NA interval natural 1 Inf NA   id_sample A numeric id for the sample (starting with 1 and increasing by 1). 1 NA interval natural 1 Inf NA   id_sample_child An integer representing an identifier for the child (resulting) sample of the transition (some change to a sample). 1 NA interval natural 1 Inf NA   id_sample_incubation_start An integer representing an identifier for the sample which is the sample at the start of the incubation (incubation_duration == 0). 1 NA interval natural 1 Inf NA   id_sample_origin An integer representing an identifier for the sample which is the original sample in a line of transitions of a sample (modifications of a sample). 1 NA interval natural 1 Inf NA   id_sample_parent An integer representing an identifier for the parent (initial) sample of the transition (some change to a sample). 1 NA interval natural 1 Inf NA   id_unit An integer value representing an id for each entry in the table \u201cunits\u201c in the dpeatdecomposition database. 1 NA interval natural 1 Inf NA   incubation_duration A numeric value representing the number of days over which a sample was incubated. 45 d ratio real 0 Inf NA   incubation_environment A character defining the environment in which a litterbag sample was incubated (e.g.\u00a0\u2018peat\u2019, \u2018container\u2019, \u2026). peat NA nominal NA NA NA NA   is_incubated A logical value indicating whether a sample was collected during the decomposition incubation of a litterbag experiment or not. TRUE NA nominal NA NA NA NA   K_absolute The absolute mass of K in the sample. 1 g ratio real 0 Inf NA   K_relative_mass The absolute mass of K in the sample. 1 g/g ratio real 0 Inf NA   Klason_lignin_mass_absolute A numeric value representing the absolute Klason lignin mass in the sample. 0.26 g ratio real 0 Inf NA   Klason_lignin_mass_relative_mass A numeric value representing the Klason lignin content of the sample [g/g]. 0.26 g/g ratio real 0 1 NA   mannose_mass_absolute A numeric value representing the content of mannose, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   mannose_mass_relative_mass A numeric value representing the content of mannose, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   mass_absolute The mass of the sample. 1200 mg ratio real 0 Inf NA   mass_relative_mass The mass of the sample divided by the mass of a sample (e.g.\u00a0the sample before decomposition). 0.87 g/g ratio real 0 Inf NA   measurement_scale A string representing the measurement scale for a value. nominal NA nominal NA NA NA NA   mesh_size_absolute The width of the mesh the litterbags are made of. 0.2 um ratio real 0 Inf NA   Mg_absolute The absolute mass of Mg in the sample. 1 g ratio real 0 Inf NA   Mg_relative_mass The absolute mass of Mg in the sample. 1 g/g ratio real 0 Inf NA   Mn_absolute The absolute mass of Mn in the sample. 1 g ratio real 0 Inf NA   Mn_relative_mass The absolute mass of Mn in the sample. 1 g/g ratio real 0 Inf NA   multiplier_to_si A numeric value representing the value with which a given value with a certain measurement unit has to be multiplied in order to convert it to a related SI unit. 100 dimensionless interval real Inf Inf NA   N_absolute The absolute mass of nitrogen in the sample. 1.2 mg ratio real 0 Inf NA   N_relative_mass The mass of the nitrogen in the sample divided by the mass of a sample (e.g.\u00a0the sample before decomposition). 0.013 g/g ratio real 0 Inf NA   number_type A string representing the number type of a numeric variable. NA NA nominal NA NA NA NA   P_absolute The absolute mass of P in the sample. 1 g ratio real 0 Inf NA   p_coumaric_acid_mass_absolute A numeric value representing the content of p-coumaric acid, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   p_coumaric_acid_mass_relative_mass A numeric value representing the content of p-coumaric acid, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   P_relative_mass The absolute mass of P in the sample. 1 g/g ratio real 0 Inf NA   parent_si A string representing the SI unit from which a certain derived unit is derived. m NA nominal NA NA NA NA   pH A numeric value representing the pH value of the sample. 5,4 dimensionless interval real Inf Inf NA   phenolics_PHBA_equivalents_mass_absolute A numeric value representing the mass content of phenolics (p-hydroxy benzoic acid equivalent). 10 g ratio real 0 Inf NA   phenolics_PHBA_equivalents_mass_relative_mass A numeric value representing the mass content of phenolics (p-hydroxy benzoic acid equivalent). 0.04 g/g ratio real 0 1 NA   phenolics_tannic_acid_equivalents_mass_absolute A numeric value representing the mass content of phenolics (tannic acid equivalent). 10 g ratio real 0 Inf NA   phenolics_tannic_acid_equivalents_mass_relative_mass A numeric value representing the mass content of phenolics (tannic acid equivalent). 0.04 g/g ratio real 0 1 NA   power An integer value. The power to which the dimension is raised. 2 dimensionless interval integer Inf Inf NA   rhamnose_mass_absolute A numeric value representing the content of rhamnose, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   rhamnose_mass_relative_mass A numeric value representing the content of rhamnose, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   root_diameter_absolute The diameter of roots in the sample. 2 mm ratio real 0 Inf NA   S_absolute The absolute mass of S in the sample. 1 g ratio real 0 Inf NA   S_relative_mass The absolute mass of S in the sample. 1 g/g ratio real 0 Inf NA   sample_depth_lower A numeric value representing the depth of the lower boundary of a sample relative to the land surface (e.g.\u00a0peat surface) [cm]. 15 cm interval real Inf Inf NA   sample_depth_upper A numeric value representing the depth of the upper boundary of a sample relative to the land surface (e.g.\u00a0peat surface) [cm]. 12 cm interval real Inf Inf NA   sample_label A string representing a label for each sample. S1 NA nominal NA NA NA NA   sample_microhabitat A string describing the microhabitat where the sample was collected. For peat, this should be one of \u2018hummock\u2019, \u2018hollow\u2019, \u2018lawn\u2019, \u2018pond\u2019. In other cases, a custom value can be used. hummock NA nominal NA NA NA NA   sample_size An integer representing the number of individual measurements which were used to compute the value in column value. 1 NA interval natural 1 Inf NA   sample_treatment A string with an description of an experimental tratment if this was applied. By default, this should be \u2018control\u2019, indicating that there was no manipulation. If there was any experimental manipulation, this can be abbreviated by a label (e.g.\u00a0by a treatment level) that is defined in the textual description of the project (in the file \u2018description.docx\u2019). control NA nominal NA NA NA NA   sample_type A string describing the type of the sample. Must be one of \u2018peat\u2019, \u2018dom\u2019, \u2018vegetation\u2019, \u2018litter\u2019. peat NA nominal NA NA NA NA   sample_type2 A string describing the type of the sample. Here you can provide individual (own) categories which may provide more details than the column sample_type. shoots NA nominal NA NA NA NA   sample_wet_mass_absolute A numeric value representing the mass of the wet sample [g]. 5.6 g ratio real 0 Inf NA   sampling_altitude A numeric value representing the altitude of the exact sampling position [m above sea level]. 543 m ratio real Inf Inf NA   sampling_day An integer representing the day in which a sample was collected. 1 NA interval natural 1 31 NA   sampling_latitude A numeric value representing the latitude coordinates of the exact sampling position (in the EPSG:3857 projection coordinate system \u2014 this is the system used by Google and is based on the WGS 84 reference system) [\u00b0N]. 40447 NA interval real -180 180 NA   sampling_longitude A numeric value representing the longitude coordinates of the exact sampling position (in the EPSG:3857 projection coordinate system \u2014 this is the system used by Google and is based on the WGS 84 reference system) [\u00b0W]. 79983 NA interval real -180 180 NA   sampling_month An integer representing the month in which a sample was collected. 1 NA interval natural 1 12 NA   sampling_year An integer representing the year in which a sample was collected. 1 NA interval natural 1 Inf NA   site_name A character representing the name of the site where the sample was collected. Mer Bleue NA nominal NA NA NA NA   soluble_Klason_lignin_mass_absolute A numeric value representing the mass content of soluble Klason lignin (following Ehrman 1996). 10 g ratio real 0 Inf NA   soluble_Klason_lignin_mass_relative_mass A numeric value representing the mass content of soluble Klason lignin (following Ehrman 1996). 0.04 g/g ratio real 0 1 NA   soluble_lignin_mass_absolute A numeric value representing the content of soluble lignin, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   soluble_lignin_mass_relative_mass A numeric value representing the content of soluble lignin, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   sphagnan_mass_absolute A numeric value representing the mass content of sphagnan (Ballance et al., 2007). 10 g ratio real 0 Inf NA   sphagnan_mass_relative_mass A numeric value representing the mass content of sphagnan (Ballance et al., 2007). 0.04 g/g ratio real 0 1 NA   standard_unit A logical value indicating if the unit is a standard unit of the Ecological Metadata Language or not. TRUE NA nominal NA NA NA NA   syringe_aldehyde_mass_absolute A numeric value representing the content of syringe aldehyde, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   syringe_aldehyde_mass_relative_mass A numeric value representing the content of syringe aldehyde, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   syringic_acid_mass_absolute A numeric value representing the content of syringic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   syringic_acid_mass_relative_mass A numeric value representing the content of syringic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   taxon_organ A string describing the organ of a taxon the sample represents (if the sample represents a taxon). For example, if the sample is Carex lasiocarpa, this could be \u2018shoot\u2019, or \u2018root\u2019, or \u2018leaves\u2019. root NA nominal NA NA NA NA   taxon_rank_name A string describing the taxon rank the value in column taxon_rank_value represents (if the sample can be assigned to a specific taxon). For exampe, if the value in column taxon_rank_value is a species name, then you should enter \u2018species\u2019 here, or if the value in column taxon_rank_value is a genus name, then you should enter \u2018genus\u2019 here. species NA nominal NA NA NA NA   taxon_rank_value A string describing the taxon rank value of the sample (if the sample can be assigned to a taxon). For example, if the sample is a distinct species, enter the scientific species name here, or if the sample can be assigned to a genus, enter the scientific genus name here. Sphagnum magellanicum NA nominal NA NA NA NA   temperature A numeric value representing the temperature of the sample [K]. 293.4 K ratio real 0 Inf NA   text_domain_definition A string representing the text domain for a string. NA NA nominal NA NA NA NA   transition_description A string representing a description of what happened to a parent sample during its transition to the child sample. transplantation NA nominal NA NA NA NA   udunits_unit A string representing a measurement unit in the udunits format. m NA nominal NA NA NA NA   unit_type A string representing the type of a unit. length NA nominal NA NA NA NA   value A numeric value representing the measured value. The unit of the value is defined by the corresponding attribute_name. 1.2 NA ratio real 0 Inf NA   value_type A character representing the type of the measured value. One of \u2018point\u2019 (for a single measurement without uncertainty), or \u2018mean\u2019 (average of multiple measurements). point NA nominal NA NA NA NA   vanillic_acid_mass_absolute A numeric value representing the content of vanillic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   vanillic_acid_mass_relative_mass A numeric value representing the content of vanillic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   vanillin_mass_absolute A numeric value representing the content of vanillin, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   vanillin_mass_relative_mass A numeric value representing the content of vanillin, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   volume A numeric value representing the volume of the sample [cm3]. 20 cm^3 ratio real 0 Inf NA   water_extractives_mass_absolute A numeric value representing the content of water extractives, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   water_extractives_mass_relative_mass A numeric value representing the content of water extractives, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   water_mass_absolute A numeric value representing the water mass content of the sample as mass of water divided by the mass of the wet sample [g] 5.6 g ratio real 0 Inf NA   water_mass_relative_mass A numeric value representing the water mass content of the sample as mass of water divided by the mass of the wet sample [g/g] 2.4 g/g ratio real 0 1 NA   water_mass_relative_volume A numeric value representing the water mass content of the sample as mass of water divided by the volume of the wet sample [g cm-3]. 0.6 g/cm^3 ratio real 0 1 NA   water_table_depth A numeric value representing the depth to the water table level relative to the position of the sample. 23.4 cm ratio real -Inf Inf NA   xylose_mass_absolute A numeric value representing the content of xylose, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   xylose_mass_relative_mass A numeric value representing the content of xylose, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA        6 Usage notes    6.1 Download  The Peatland Decomposition Database can be downloaded from https://doi.org/10.5281/zenodo.11276065. There you can also download a folder \u201cderived_data\u201d that contains csv files with the experimental design for each study (see attribute file in Tab. 2), and a folder \u201cscripts\u201d with the R Markdown scripts used to import the data into the database.     6.2 Set up  The downloaded database needs to be imported in a running MariaDB instance. In a linux terminal, the downloaded sql file can be imported like so:  mysql -u<user> -p dpeatdecomposition < dpeatdecomposition-backup-2025-02-24.sql  Here, <user> is the database user name.     6.3 R interface  The R package \u2018dpeatdecomposition\u2019 (Teickner and Knorr 2024) provides an R interface to the database, based on the packages \u2018RMariaDB\u2019 (M\u00fcller et al. 2021), and \u2018dm\u2019 (Schieferdecker, M\u00fcller, and Bergant 2022).      7 Citation  If you use data from the Peat Decomposition Database, cite the database and each of the original data sources you use. Bibliographic information on each data source are stored in table citations and linked to datasets via table citations_to_datasets.  The database can be cited as: Teickner, Henning and Klaus-Holger Knorr. 2024. \u201cThe Peatland Decomposition Database.\u201d Zenodo. https://doi.org/10.5281/zenodo.11276065.  Bibtex entries for each dataset can also be obtained using the \u2018dpeatdecomposition\u2019 package:  # connect to database con <-   RMariaDB::dbConnect(     drv = RMariaDB::MariaDB(),     dbname = 'dpeatdecomposition',     default.file = '~/my.cnf'   )  # get database as dm object dm_dpeatdecomposition <-   dpeatdecomposition::dp_get_dm(con, learn_keys = TRUE)  # extract bibtex entries dm_dpeatdecomposition |>   dm::dm_zoom_to(datasets) |>   dm::left_join(citations_to_datasets, by = 'id_dataset') |>   dm::left_join(citations, by = 'id_citation') |>   dm::pull_tbl() |>   as.data.frame()  # disconnect RMariaDB::dbDisconnect(con)  A full list of references for the individual datasets is provided in Tab. 3. Table 3: Sources for each dataset in the Peatland Decomposition Database.     id_dataset Source     1 Farrish and Grigal (1985)   2 Bartsch and Moore (1985)   3 Farrish and Grigal (1988)   4 Vitt (1990)   5 Hogg, Lieffers, and Wein (1992)   6 Sanger, Billett, and Cresser (1994)   7 Hiroki and Watanabe (1996)   8 Szumigalski and Bayley (1996)   9 Prevost, Belleau, and Plamondon (1997)   10 Arp, Cooper, and Stednick (1999)   11 Robbert A. Scheffer and Aerts (2000)   12 R. A. Scheffer, Van Logtestijn, and Verhoeven (2001)   13 Limpens and Berendse (2003)   14 Waddington, Rochefort, and Campeau (2003)   15 Asada, Warner, and Banner (2004)   16 Thormann, Bayley, and Currah (2001)   17 Trinder, Johnson, and Artz (2008)   18 Breeuwer et al. (2008)   19 Trinder, Johnson, and Artz (2009)   20 Bragazza and Iacumin (2009)   21 Hoorens, Stroetenga, and Aerts (2010)   22 Strakov\u00e1 et al. (2010)   22 Strakov\u00e1 et al. (2012)   23 Orwin and Ostle (2012)   24 Lieffers (1988)   25 Manninen et al. (2016)   26 Johnson and Damman (1991)   27 Bengtsson, Rydin, and H\u00e1jek (2018a)   27 Bengtsson, Rydin, and H\u00e1jek (2018b)   28 Asada and Warner (2005)   29 Bengtsson, Granath, and Rydin (2017)   29 Bengtsson, Granath, and Rydin (2016)   30 Hagemann and Moroni (2015)   30 Hagemann and Moroni (2016)   31 B. Piatkowski et al. (2021)   31 B. T. Piatkowski et al. (2021)   32 M\u00e4kil\u00e4 et al. (2018)   33 Golovatskaya and Nikonova (2017)   34 Golovatskaya and Nikonova (2017)        8 Acknowledgements  Development of this database was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) grant no. KN 929/23-1 to Klaus-Holger Knorr and grant no. PE 1632/18-1 to Edzer Pebesma.     References    Arp, Christopher D., David J. Cooper, and John D. Stednick. 1999. \u201cThe Effects of Acid Rock Drainage on Carex Aquatilis Leaf Litter Decomposition in Rocky Mountain Fens.\u201d Wetlands 19 (3): 665\u201374. https://doi.org/10.1007/BF03161703.  Asada, Taro, and Barry G. Warner. 2005. \u201cSurface Peat Mass and Carbon Balance in a Hypermaritime Peatland.\u201d Soil Science Society of America Journal 69 (2): 549\u201362. https://doi.org/10.2136/sssaj2005.0549.  Asada, Taro, Barry G Warner, and Allen Banner. 2004. \u201cSphagnum Invasion After Clear-Cutting and Excavator Mounding in a Hypermaritime Forest of British Columbia.\u201d Canadian Journal of Forest Research 34 (8): 1730\u201346. https://doi.org/10.1139/x04-042.  Bartsch, I., and T. R. Moore. 1985. \u201cA Preliminary Investigation of Primary Production and Decomposition in Four Peatlands Near Schefferville, Qu\u00e9bec.\u201d Canadian Journal of Botany 63 (7): 1241\u201348. https://doi.org/10.1139/b85-171.  Bengtsson, Fia, Gustaf Granath, and H\u00e5kan Rydin. 2016. \u201cPhotosynthesis, Growth, and Decay Traits in Sphagnum \u2013 a Multispecies Comparison.\u201d Ecology and Evolution 6 (10): 3325\u201341. https://doi.org/10.1002/ece3.2119.  \u2014\u2014\u2014. 2017. \u201cData from: Photosynthesis, Growth, and Decay Traits in Sphagnum \u2013 a Multispecies Comparison.\u201d Dryad. https://doi.org/10.5061/DRYAD.62054.  Bengtsson, Fia, H\u00e5kan Rydin, and Tom\u00e1\u0161 H\u00e1jek. 2018a. \u201cData from: Biochemical Determinants of Litter Quality in 15 Species of Sphagnum.\u201d Dryad. https://doi.org/10.5061/DRYAD.4F8D2.  \u2014\u2014\u2014. 2018b. \u201cBiochemical Determinants of Litter Quality in 15 Species of Sphagnum.\u201d Plant and Soil 425 (1-2): 161\u201376. https://doi.org/10.1007/s11104-018-3579-8.  Bona, Kelly Ann, Arlene Hilger, Magdalena Burgess, Nicole Wozney, and Cindy Shaw. 2018. \u201cA Peatland Productivity and Decomposition Parameter Database.\u201d Ecology 99 (10): 2406\u20136. https://doi.org/10.1002/ecy.2462.  Bragazza, Luca, and Paola Iacumin. 2009. \u201cSeasonal Variation in Carbon Isotopic Composition of Bog Plant Litter During 3 Years of Field Decomposition.\u201d Biology and Fertility of Soils 46 (1): 73\u201377. https://doi.org/10.1007/s00374-009-0406-7.  Breeuwer, Angela, Monique Heijmans, Bjorn J. M. Robroek, Juul Limpens, and Frank Berendse. 2008. \u201cThe Effect of Increased Temperature and Nitrogen Deposition on Decomposition in Bogs.\u201d Oikos 117 (8): 1258\u201368. https://doi.org/10.1111/j.0030-1299.2008.16518.x.  Farrish, K. W., and D. F. Grigal. 1985. \u201cMass Loss in a Forested Bog: Relation to Hummock and Hollow Microrelief.\u201d Canadian Journal of Soil Science 65 (2): 375\u201378. https://doi.org/10.4141/cjss85-042.  \u2014\u2014\u2014. 1988. \u201cDecomposition in an Omrotrophic Bog and a Minerotrophic Fen in Minnesota.\u201d Soil Science 145 (5): 353\u201358. https://doi.org/10.1097/00010694-198805000-00005.  Golovatskaya, E. A., and L. G. Nikonova. 2017. \u201cThe Influence of the Bog Water Level on the Transformation of Sphagnum Mosses in Peat Soils of Oligotrophic Bogs.\u201d Eurasian Soil Science 50 (5): 580\u201388. https://doi.org/10.1134/S1064229317030036.  Hagemann, Ulrike, and Martin T. Moroni. 2015. \u201cMoss and Lichen Decomposition in Old-Growth and Harvested High-Boreal Forests Estimated Using the Litterbag and Minicontainer Methods.\u201d Soil Biology and Biochemistry 87 (August): 10\u201324. https://doi.org/10.1016/j.soilbio.2015.04.002.  \u2014\u2014\u2014. 2016. \u201cData on Moss and Lichen Decomposition Rates and Nutrient Loss from Old-Growth and Harvested High-Boreal Forests Estimated Using the Litterbag and Minicontainer Methods.\u201d Leibniz-Zentrum f\u00fcr Agrarlandschaftsforschung (ZALF) e.V. https://doi.org/10.4228/ZALF.2007.290.  Hiroki, Mikiya, and Makoto M. Watanabe. 1996. \u201cMicrobial Community and Rate of Cellulose Decomposition in Peat Soils in a Mire.\u201d Soil Science and Plant Nutrition 42 (4): 893\u2013903. https://doi.org/10.1080/00380768.1996.10416636.  Hogg, Edward H., Victor J. Lieffers, and Ross W. Wein. 1992. \u201cPotential Carbon Losses from Peat Profiles: Effects of Temperature, Drought Cycles, and Fire.\u201d Ecological Applications 2 (3): 298\u2013306. https://doi.org/10.2307/1941863.  Hoorens, Bart, Martin Stroetenga, and Rien Aerts. 2010. \u201cLitter Mixture Interactions at the Level of Plant Functional Types Are Additive.\u201d Ecosystems 13 (1): 90\u201398. https://doi.org/10.1007/s10021-009-9301-1.  Johnson, Loretta C., and Antoni W. H. Damman. 1991. \u201cSpecies-Controlled Sphagnum Decay on a South Swedish Raised Bog.\u201d Oikos 61 (2): 234. https://doi.org/10.2307/3545341.  Jones, Matthew, Margaret O\u2019Brien, Bryce Mecum, Carl Boettiger, Mark Schildhauer, Mitchell Maier, Timothy Whiteaker, Stevan Earl, and Steven Chong. 2019. \u201cEcological Metadata Language Version 2.2.0.\u201d KNB Data Repository. https://doi.org/10.5063/f11834t2.  Lieffers, V. J. 1988. \u201cSphagnum and Cellulose Decomosition in Drained and Natural Areas of an Alberta Peatland.\u201d Canadian Journal of Soil Science 68 (4): 755\u201361. https://doi.org/10.4141/cjss88-073.  Limpens, Juul, and Frank Berendse. 2003. \u201cHow Litter Quality Affects Mass Loss and N Loss from Decomposing Sphagnum.\u201d Oikos 103 (3): 537\u201347. https://doi.org/10.1034/j.1600-0706.2003.12707.x.  M\u00e4kil\u00e4, M., H. S\u00e4\u00e4vuori, A. Grundstr\u00f6m, and T. Suomi. 2018. \u201cSphagnum Decay Patterns and Bog Microtopography in South-Eastern Finland.\u201d Mires and Peat, no. 21 (July): 1\u201312. https://doi.org/10.19189/MaP.2017.OMB.283.  Manninen, S., S. Kivim\u00e4ki, I. D. Leith, S. R. Leeson, and L. J. Sheppard. 2016. \u201cNitrogen Deposition Does Not Enhance Sphagnum Decomposition.\u201d Science of The Total Environment 571 (November): 314\u201322. https://doi.org/10.1016/j.scitotenv.2016.07.152.  M\u00fcller, Kirill, Jeroen Ooms, David James, Saikat DebRoy, Hadley Wickham, and Jeffrey Horner. 2021. \u201cRMariaDB: Database Interface and \u2019MariaDB\u2019 Driver.\u201d  Orwin, Kate H., and Nicholas J. Ostle. 2012. \u201cMoss Species Effects on Peatland Carbon Cycling After Fire: Moss Species Effects on C Cycling After Fire.\u201d Functional Ecology 26 (4): 829\u201336. https://doi.org/10.1111/j.1365-2435.2012.01991.x.  Piatkowski, Bryan T., Joseph B. Yavitt, Merritt R. Turetsky, and A. Jonathan Shaw. 2021. \u201cNatural Selection on a Carbon Cycling Trait Drives Ecosystem Engineering by Sphagnum (Peat Moss).\u201d Proceedings of the Royal Society B: Biological Sciences 288 (1957): 20210609. https://doi.org/10.1098/rspb.2021.0609.  Piatkowski, Bryan, Joseph B. Yavitt, Merritt Turetsky, and A. Jonathan Shaw. 2021. \u201cOnline Data for 'Natural Selection on a Carbon Cycling Trait Drives Ecosystem Engineering by Sphagnum (Peat Moss).',\u201d August. https://doi.org/10.6084/m9.figshare.14109725.v2.  Pick, Joel L., Shinichi Nakagawa, and Daniel W. A. Noble. 2018. \u201cReproducible, Flexible and High-Throughput Data Extraction from Primary Literature: The metaDigitise R Package.\u201d https://doi.org/10.1101/247775.  Prevost, Marcel, Pierre Belleau, and Andr\u00e9 P. Plamondon. 1997. \u201cSubstrate Conditions in a Treed Peatland: Responses to Drainage.\u201d \u00c9coscience 4 (4): 543\u201354. https://doi.org/10.1080/11956860.1997.11682434.  R Core Team. 2022. R: A Language and Environment for Statistical Computing. Manual. Vienna, Austria: R Foundation for Statistical Computing.  Sanger, L. J., M. F. Billett, and M. S. Cresser. 1994. \u201cThe Effects of Acidity on Carbon Fluxes from Ombrotrophic Peat.\u201d Chemistry and Ecology 8 (4): 249\u201364. https://doi.org/10.1080/02757549408038552.  Scheffer, R. A., R. S. P Van Logtestijn, and J. T. A. Verhoeven. 2001. \u201cDecomposition of Carex and Sphagnum Litter in Two Mesotrophic Fens Differing in Dominant Plant Species.\u201d Oikos 92 (1): 44\u201354. https://doi.org/10.1034/j.1600-0706.2001.920106.x.  Scheffer, Robbert A., and Rien Aerts. 2000. \u201cRoot Decomposition and Soil Nutrient and Carbon Cycling in Two Temperate Fen Ecosystems.\u201d Oikos 91 (3): 541\u201349. https://doi.org/10.1034/j.1600-0706.2000.910316.x.  Schieferdecker, Tobias, Kirill M\u00fcller, and Darko Bergant. 2022. \u201cdm: Relational Data Models.\u201d  Strakov\u00e1, Petra, Jani Anttila, Peter Spetz, Veikko Kitunen, Tarja Tapanila, and Raija Laiho. 2010. \u201cLitter Quality and Its Response to Water Level Drawdown in Boreal Peatlands at Plant Species and Community Level.\u201d Plant and Soil 335 (1-2): 501\u201320. https://doi.org/10.1007/s11104-010-0447-6.  Strakov\u00e1, Petra, Timo Penttil\u00e4, Jukka Laine, and Raija Laiho. 2012. \u201cDisentangling Direct and Indirect Effects of Water Table Drawdown on Above- and Belowground Plant Litter Decomposition: Consequences for Accumulation of Organic Matter in Boreal Peatlands.\u201d Global Change Biology 18 (1): 322\u201335. https://doi.org/10.1111/j.1365-2486.2011.02503.x.  Szumigalski, Anthony R., and Suzanne E. Bayley. 1996. \u201cDecomposition Along a Bog to Rich Fen Gradient in Central Alberta, Canada.\u201d Canadian Journal of Botany 74 (4): 573\u201381. https://doi.org/10.1139/b96-073.  Teickner, Henning, and Klaus-Holger Knorr. 2024. \u201cdpeatdecomposition: R Interface to the Peatland Decomposition Database.\u201d  Thormann, Markus N, Suzanne E Bayley, and Randolph S Currah. 2001. \u201cComparison of Decomposition of Belowground and Aboveground Plant Litters in Peatlands of Boreal Alberta, Canada.\u201d Canadian Journal of Botany 79 (1): 9\u201322. https://doi.org/10.1139/b00-138.  Trinder, Clare J., David Johnson, and Rebekka R. E. Artz. 2008. \u201cInteractions Among Fungal Community Structure, Litter Decomposition and Depth of Water Table in a Cutover Peatland.\u201d FEMS Microbiology Ecology 64 (3): 433\u201348. https://doi.org/10.1111/j.1574-6941.2008.00487.x.  \u2014\u2014\u2014. 2009. \u201cLitter Type, but Not Plant Cover, Regulates Initial Litter Decomposition and Fungal Community Structure in a Recolonising Cutover Peatland.\u201d Soil Biology and Biochemistry 41 (3): 651\u201355. https://doi.org/10.1016/j.soilbio.2008.12.006.  Vitt, Dale H. 1990. \u201cGrowth and Production Dynamics of Boreal Mosses over Climatic, Chemical and Topographic Gradients.\u201d Botanical Journal of the Linnean Society 104 (1-3): 35\u201359. https://doi.org/10.1111/j.1095-8339.1990.tb02210.x.  Waddington, J. M., L. Rochefort, and S. Campeau. 2003. \u201cSphagnum Production and Decomposition in a Restored Cutover Peatland.\u201d Wetlands Ecology and Management 11 (1): 85\u201395. https://doi.org/10.1023/A:1022009621693.", "keywords": ["Databases", "Carex", "Sphagnum", "decomposition", "litterbag", "northern peatland", "peatland"], "contacts": [{"organization": "Teickner, Henning, Knorr, Klaus-Holger,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14917034"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14917034", "name": "item", "description": "10.5281/zenodo.14917034", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14917034"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-02-24T00:00:00Z"}}, {"id": "10481/84824", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-29T16:25:01Z", "type": "Journal Article", "created": "2023-07-12", "title": "National soil data in EU countries, where do we stand?", "description": "Abstract                   <p>At the European scale, soil characteristics are needed to evaluate soil quality, soil health and soil\uffe2\uff80\uff90based ecosystem services in the context of the European Green Deal. While some soil databases exist at the European scale, a much larger wealth of data is present in individual European countries, allowing a more detailed soil assessment. There is thus an urgent and crucial need to combine these data at the European scale. In the frame of a large European Joint Programme on agricultural soils launched by the European Commission, a survey was conducted in the spring of 2020, in the 24 European participating countries to assess the existing soil data sources, focusing on agricultural soils. The survey will become a contribution to the European Soil Observatory, launched in December 2020, which aims to collect metadata of soil databases related to all kind of land uses, including forest and urban soils. Based upon a comprehensive questionnaire, 170 soil databases were identified at local, regional and national scales. Soil parameters were divided into five groups: (1) main soil parameters according to the Global Soil Map specifications; (2) other soil chemical parameters; (3) other physical parameters; (4) other pedological parameters; and (5) soil biological features. A classification based on the environmental zones of Europe was used to distinguish the climatic zones. This survey shows that while most of the main pedological and chemical parameters are included in more than 70% of the country soil databases, water content, contamination with organic pollutants, and biological parameters are the least frequently reported parameters. Such differences will have consequences when developing an EU policy on soil health as proposed under the EU soil strategy for 2023 and using the data to derive soil health indicators. Many differences in the methods used in collecting, preparing, and analysing the soils were found, thus requiring harmonization procedures and more cooperation among countries and with the EU to use the data at the European scale. In addition, choosing harmonized and useful interpretation and threshold values for EU soil indicators may be challenging due to the different methods used and the wide variety of soil land\uffe2\uff80\uff90use and climate combinations influencing possible thresholds. The temporal scale of the soil databases reported is also extremely wide, starting from the '20s of the 20th century.</p", "keywords": ["Agricultural soil databases", "550", "EJP SOIL programme", "soil parameters", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "630", "soil", "Soil", "Soil data", "11. Sustainability", "soil parameter", "survey", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "agricultural soil databases", "2. Zero hunger", "EJP SOIL", "harmonisation", "indicator", "15. Life on land", "6. Clean water", "Europe", "data", "13. Climate action", "Harmonization", "harmonization", "agricultural soil database", "soil data"]}, "links": [{"href": "https://pure.iiasa.ac.at/id/eprint/18926/1/European%20J%20Soil%20Science%20-%202023%20-%20Cornu%20-%20National%20soil%20data%20in%20EU%20countries%20where%20do%20we%20stand.pdf"}, {"href": "https://doi.org/10481/84824"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10481/84824", "name": "item", "description": "10481/84824", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10481/84824"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-07-01T00:00:00Z"}}, {"id": "4ec4bbca-7096-4659-803b-dad26fcb8ecf", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[33.94, 6.87], [33.94, 13.12], [44.32, 13.12], [44.32, 6.87], [33.94, 6.87]]]}, "properties": {"rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the Other's research activities.\" Although every care has been taken in preparing and testing the data, the Other and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Other and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The Other and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2024-08-05", "type": "Service", "created": "2022-03-07", "language": "eng", "title": "WMS of the dataset 'Hydro-Geo database management system'", "description": "This Map Service includes spatial information used by datasets 'AGIS Map Service of the dataset 'Hydro-Geo database management system''", "formats": [{"name": "CSV"}], "keywords": ["infoMapAccessService", "Soil", "databases"], "contacts": [{"name": "Abraham Tula", "organization": "Ethiopian Construction Design and Supervision Works Corporation", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "abrahamtula@ecdswc.com"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Firaol Befikadu", "organization": "Ethiopian Construction Design and Supervision Works Corporation", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "firaolbefikadu@ecdswc.com"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Dr. Hadush Kidane", "organization": "Ethiopian Construction Design and Supervision Works Corporation", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "hadush.meresa@inu.ie"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Ethiopian Construction Design and Supervision Works Corporation", "roles": ["contributor"]}], "themes": [{"concepts": [{"id": "infoMapAccessService"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Soil"}, {"id": "databases"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=\t4ec4bbca-7096-4659-803b-dad26fcb8ecf", "rel": "download"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Extern/ID_E99_Precipitation_Upper_Awash_Ethiopia/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Extern/ID_E99_Precipitation_Upper_Awash_Ethiopia/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Extern/ID_E99_Precipitation_Upper_Awash_Ethiopia/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Extern/ID_E99_Precipitation_Upper_Awash_Ethiopia/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"rel": "self", "type": "application/geo+json", "title": "4ec4bbca-7096-4659-803b-dad26fcb8ecf", "name": "item", "description": "4ec4bbca-7096-4659-803b-dad26fcb8ecf", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/4ec4bbca-7096-4659-803b-dad26fcb8ecf"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-08-05T00:00:00Z"}}, {"id": "6ec9eb26-8dc1-4d28-a6f4-9ea3144de4a8", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[33.94, 6.87], [33.94, 14.12], [43.32, 14.12], [43.32, 6.87], [33.94, 6.87]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "databases"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "license": "CC BY", "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the Other's research activities.\" Although every care has been taken in preparing and testing the data, the Other and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Other and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The Other and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2023-03-08", "type": "Dataset", "created": "2022-03-07", "language": "eng", "title": "Hydro-Geo database management system", "description": "Hydro-Geo database management system is planned to be developed for the efficient management of hydro-Geo data. The system helps users of the corporation to store and use integrated and relevant information on hydrology, geospatial and other related data sources.  In addition, the system creates conditions for users to easily access standards, manuals, guidelines, operational procedures and project reports which will be made available to a wide pool of Hydro-Geo information system platform.\n\nResearch domain: Other\n\nResearch question: How integrated database system enhance data management efficiency?", "formats": [{"name": "CSV"}], "keywords": ["Soil", "databases", "opendata", "Boden"], "contacts": [{"name": "Abraham Tula", "organization": "Ethiopian Construction Design and Supervision Works Corporation", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "abrahamtula@ecdswc.com"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Firaol Befikadu", "organization": "Ethiopian Construction Design and Supervision Works Corporation", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "firaolbefikadu@ecdswc.com"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Dr. Hadush Kidane", "organization": "Ethiopian Construction Design and Supervision Works Corporation", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "hadush.meresa@inu.ie"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Ethiopian Construction Design and Supervision Works Corporation", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid= 6ec9eb26-8dc1-4d28-a6f4-9ea3144de4a8", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "6ec9eb26-8dc1-4d28-a6f4-9ea3144de4a8", "name": "item", "description": "6ec9eb26-8dc1-4d28-a6f4-9ea3144de4a8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/6ec9eb26-8dc1-4d28-a6f4-9ea3144de4a8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-08T00:00:00Z"}}, {"id": "3c11e526-0c73-4e05-a581-34b070e2f6c3", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.81, 47.26], [5.81, 54.76], [15.77, 54.76], [15.77, 47.26], [5.81, 47.26]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "agrifood sector"}, {"id": "agricultural research"}, {"id": "agricultural research systems"}, {"id": "agro-industry"}, {"id": "agricultural landscape"}, {"id": "agricultural sciences"}, {"id": "data"}, {"id": "data analysis"}, {"id": "databases"}, {"id": "spatial database"}, {"id": "data management"}, {"id": "data quality"}, {"id": "surveys"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "community survey"}, {"id": "data competence"}, {"id": "data use"}, {"id": "data steward"}, {"id": "support"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}, {"id": "survey"}, {"id": "agriculture"}], "scheme": "GEMET - Concepts, version 2.4"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the Other's research activities.\" Although every care has been taken in preparing and testing the data, the Other and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Other and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The Other and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-03-31", "type": "Dataset", "created": "2023-03-23", "language": "eng", "title": "2023 survey of agricultural science community needs: data use, data competency, support.", "description": "The project \"Data Competence Center Agriculture\" (DaKA) has set itself the goal of increasing data competence in the field of agriculture. We are working closely with the NFDI consortium FAIRagro (www.fairagro.net). To get to know the agricultural science community even better, we launched a survey at the beginning of 2023. Our target group in this is threefold: Government agencies (e.g. federal research institutions), industry (e.g. SMEs) and science (e.g. scientific institutions of Leibniz and Helmholtz association, universities).\nWe received answers from a total of 355 participants in the areas of \u201cExperience\u201d, \u201cNeeds\u201d and \u201cNetworks\u201d. All answers are anonymized and give a good overview of the situation of research data management in agricultural sciences in Germany.", "formats": [{"name": "CSV"}], "keywords": ["agrifood sector", "agricultural research", "agricultural research systems", "agro-industry", "agricultural landscape", "agricultural sciences", "data", "data analysis", "databases", "spatial database", "data management", "data quality", "surveys", "community survey", "data competence", "data use", "data steward", "support", "Boden", "survey", "agriculture"], "contacts": [{"name": "Nikolai Svoboda", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "svoboda@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-3860-4400", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Stefan Stiene", "organization": "Hochschule Osnabr\u00fcck", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "s.stiene@hs-osnabrueck.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-3291-6323", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": null, "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Ulrike Stahl", "organization": "Julius K\u00fchn-Institut (JKI), Federal Research Centre for Cultivated Plants", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "ulrike.stahl@julius-kuehn.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-5659-910X", "name_url": "", "description": "ORCID:", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Markus M\u00f6ller", "organization": "Julius K\u00fchn Institute (JKI) \u2013 Federal Research Centre for Cultivated Plants, Institute for Crop and Soil Science", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "markus.moeller@julius-kuehn.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-1918-7747", "name_url": "", "description": "ORCID:", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Robert Everwand", "organization": "Agrotech Valley Forum e.V. (AVF)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "everwand@agrotech-valley.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Justus Bracke", "organization": "Deutsches Forschungszentrum f\u00fcr k\u00fcnstliche Intelligenz GmbH", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Justus.Bracke@dfki.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0009-0003-6901-8268", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Rainer  Duttmann", "organization": "Christian-Albrechts-Universit\u00e4t  zu  Kiel", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "duttmann@geographie.uni-kiel.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Michael Kuhwald", "organization": "Christian-Albrechts-Universit\u00e4t  zu  Kiel", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "duttmann@geographie.uni-kiel.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Tobias Wamhof", "organization": "Hochschule Osnabr\u00fcck", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "t.wamhof@hs-osnabrueck.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Dirk Bock", "organization": "Agrotech Valley Forum", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "bock@agrotech-valley.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Heiko Tapken", "organization": "Hochschule Osnabr\u00fcck", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "H.Tapken@hs-osnabrueck.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Lena Herrmann", "organization": "Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "lena.herrmann@dfki.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Heiko Tapken", "organization": "Hochschule Osnabr\u00fcck", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "H.Tapken@hs-osnabrueck.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Stefan Stiene", "organization": "Hochschule Osnabr\u00fcck", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "s.stiene@hs-osnabrueck.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-3291-6323", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz;Agrotech Valley Forum e.V. (AVF);Hochschule Osnabr\u00fcck;Christian-Albrechts-Universit\u00e4t  zu  Kiel;Julius K\u00fchn-Institut (JKI), Federal Research Centre for Cultivated Plants;Leibniz Centre for Agricultural Landscape Research (ZALF);Deutsches Forschungszentrum f\u00fcr k\u00fcnstliche Intelligenz GmbH;Agrotech Valley Forum;Julius K\u00fchn Institute (JKI) \u2013 Federal Research Centre for Cultivated Plants, Institute for Crop and Soil Science", "roles": ["contributor"]}], "title_alternate": "F\u00fcr mehr Datenkompetenz in der Dom\u00e4ne der Agrarwissenschaften"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=3c11e526-0c73-4e05-a581-34b070e2f6c3", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "3c11e526-0c73-4e05-a581-34b070e2f6c3", "name": "item", "description": "3c11e526-0c73-4e05-a581-34b070e2f6c3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3c11e526-0c73-4e05-a581-34b070e2f6c3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-31T00:00:00Z"}}, {"id": "0e24d7f9-6c7c-4bf8-bd46-9409874ea4b4", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[19.63, 34.81], [19.63, 41.75], [28.24, 41.75], [28.24, 34.81], [19.63, 34.81]]]}, "properties": {"updated": "2025-01-20T12:41:00.819Z", "language": "Greek", "title": "Online Geospatial Information Portal: Emissions in atmosphere", "description": "Web maps with information on different emission concentrations in the atmosphere.\n\nAvailable for all users", "formats": [{"name": "ShapeFile"}, {"name": "WWW:LINK-1.0-http--link"}], "keywords": ["Greece", "National", "Regional", "Other databases useful for risk estimation", "Ministry of Environment and Energy (YPEN)"], "themes": [{"concepts": [{"id": "National"}, {"id": "Regional"}], "scheme": "Data coverage"}, {"concepts": [{"id": "Other databases useful for risk estimation"}], "scheme": "Database type"}, {"concepts": [{"id": "Ministry of Environment and Energy (YPEN)"}], "scheme": "Organization"}]}, "links": [{"href": "http://mapsportal.ypen.gr/maps/207/view", "name": "Particulate matter", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/maps/213/view", "name": "Benzo(a)pyrene (BaP)", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/maps/214/view", "name": "Benzene", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/maps/212/view", "name": "CO", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/maps/210/view", "name": "Metals (As, Cd, Pb, Ni, Hg)", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/maps/208/view", "name": "NO2", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/maps/209/view", "name": "SO2", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/maps/183/view", "name": "O3", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/maps/453/view", "name": "Airports Emissions", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/maps/418/view", "name": "Industrial Emissions", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/maps/470/view", "name": "Agricultural activities/Biomass burning", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/maps/403/view", "name": "Agricultural activities/Pesticides use", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/maps/435/view", "name": "Central heating", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/maps/649/view", "name": "Road transport", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/maps/514/view", "name": "Fuel stations emissions", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/maps/402/view", "name": "Emissions along National Roads", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/maps/623/view", "name": "Industrial Emissions", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/maps/622/view", "name": "Agricultural activities/Biomass burning", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/maps/596/view", "name": "Central heating", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/maps/662/view", "name": "Road transport", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://geonetwork.greendecision.eu/geonetwork/srv/api/records/0e24d7f9-6c7c-4bf8-bd46-9409874ea4b4/attachments/%CE%A7%CE%AC%CF%81%CF%84%CE%B7%CF%82-%CE%A5%CE%A0%CE%95%CE%9D-%CE%93%CE%B5%CF%89%CF%87%CF%89%CF%81%CE%B9%CE%BA%CE%AD%CF%82-%CE%A0%CE%BB%CE%B7%CF%81%CE%BF%CF%86%CE%BF%CF%81%CE%AF%CE%B5%CF%82-%CE%A7%CE%AC%CF%81%CF%84%CE%B5%CF%82%20(19).png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "0e24d7f9-6c7c-4bf8-bd46-9409874ea4b4", "name": "item", "description": "0e24d7f9-6c7c-4bf8-bd46-9409874ea4b4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0e24d7f9-6c7c-4bf8-bd46-9409874ea4b4"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2025-01-20T12:41:00Z"}}, {"id": "1cfe4c37-5e1e-4252-b6a8-da429dc539c2", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[19.63, 34.81], [19.63, 41.75], [28.24, 41.75], [28.24, 34.81], [19.63, 34.81]]]}, "properties": {"updated": "2025-01-20T12:12:18.87Z", "title": "Floods", "description": "Flood information shapefiles", "formats": [{"name": "ShapeFile"}, {"name": "WWW:LINK-1.0-http--link"}], "keywords": ["Wastewater", "Greece", "Regional", "Other databases useful for risk estimation", "Ministry of Environment and Energy (YPEN)"], "themes": [{"concepts": [{"id": "Regional"}], "scheme": "Data coverage"}, {"concepts": [{"id": "Other databases useful for risk estimation"}], "scheme": "Database type"}, {"concepts": [{"id": "Ministry of Environment and Energy (YPEN)"}], "scheme": "Organization"}]}, "links": [{"href": "https://ypen.gov.gr/perivallon/ydatikoi-poroi/plimmyres/", "name": "\u03a0\u03bb\u03b7\u03bc\u03bc\u03cd\u03c1\u03b5\u03c2", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://geonetwork.greendecision.eu/geonetwork/srv/api/records/1cfe4c37-5e1e-4252-b6a8-da429dc539c2/attachments/%CE%A0%CE%BB%CE%B7%CE%BC%CE%BC%CF%8D%CF%81%CE%B5%CF%82-.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "1cfe4c37-5e1e-4252-b6a8-da429dc539c2", "name": "item", "description": "1cfe4c37-5e1e-4252-b6a8-da429dc539c2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1cfe4c37-5e1e-4252-b6a8-da429dc539c2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2025-01-20T12:12:18Z"}}, {"id": "2f9e734c-4c42-40fa-88a7-a6c4731dc227", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[13.5, 42.42], [13.5, 46.55], [19.41, 46.55], [19.41, 42.42], [13.5, 42.42]]]}, "properties": {"updated": "2025-10-07T10:07:10.296Z", "language": "eng", "title": "Environmental Atlas (ENVI)", "description": "Environmental data portal which shows e.g. locations and data of discarded waste and landfills, and facilities where hazardous substances are present and register of polluters of the republic of Croatia.", "formats": [{"name": "WWW:LINK-1.0-http--link"}], "keywords": ["Croatia", "Natonal", "Other databases useful for risk estimation", "Croatian Institute for Environment and Nature Protection"], "themes": [{"concepts": [{"id": "Croatia"}], "scheme": "Place"}, {"concepts": [{"id": "Natonal"}], "scheme": "Data coverage"}, {"concepts": [{"id": "Other databases useful for risk estimation"}], "scheme": "Database type"}, {"concepts": [{"id": "Croatian Institute for Environment and Nature Protection"}], "scheme": "Organization"}]}, "links": [{"href": "https://envi.azo.hr/?topic=8", "name": "Waste", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "https://envi.azo.hr/?topic=9", "name": "Industry and energy", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "https://geonetwork.greendecision.eu/geonetwork/srv/api/records/2f9e734c-4c42-40fa-88a7-a6c4731dc227/attachments/ENVI-atlas-okoli%C5%A1a-10-07-2025_12_02_PM.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "2f9e734c-4c42-40fa-88a7-a6c4731dc227", "name": "item", "description": "2f9e734c-4c42-40fa-88a7-a6c4731dc227", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2f9e734c-4c42-40fa-88a7-a6c4731dc227"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2025-10-07T10:07:10Z"}}, {"id": "30d8a0ba-f96b-443c-a57d-1c276d827f4c", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[8.09, 54.57], [8.09, 57.75], [15.15, 57.75], [15.15, 54.57], [8.09, 54.57]]]}, "properties": {"updated": "2025-05-07T11:28:02.752Z", "language": "eng", "title": "Jupiter", "description": "GEUS's (Danish Geological Survey) nationwide drilling database for groundwater, drinking water, raw material, environmental and geotechnical data. Layer \"Soil/air samples from borehole\" with contaminant concentrations (different depths and contaminants).", "formats": [{"name": "ShapeFile"}, {"name": "WWW:LINK-1.0-http--link"}], "keywords": ["Denmark", "National", "Other databases useful for risk estimation", "All contaminants (not specified)", "GEUS (Geological Survey of Denmark)"], "contacts": [{"name": null, "organization": "GEUS (Geological Survey of Denmark)", "position": null, "roles": ["owner"], "phones": [{"value": null}], "emails": [{"value": null}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}], "themes": [{"concepts": [{"id": "Denmark"}], "scheme": "Place"}, {"concepts": [{"id": "National"}], "scheme": "Data coverage"}, {"concepts": [{"id": "Other databases useful for risk estimation"}], "scheme": "Database type"}, {"concepts": [{"id": "All contaminants (not specified)"}], "scheme": "Contaminants"}, {"concepts": [{"id": "GEUS (Geological Survey of Denmark)"}], "scheme": "Organization"}], "edition": "First"}, "links": [{"href": "https://data.geus.dk/geusmap/?mapname=jupiter#baslay=baseMapDa&optlay=&extent=94752.36664768902,6073435.00079948,805565.8645900759,6430230.057383842&layers=jupiter_boringsanalyser&filter_0=dgu_nr%3D%26use.part%3D%26stofgruppe.part%3D%26art%3D%26depth.min%3D", "name": "The GEUS Jupiter database", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://geonetwork.greendecision.eu/geonetwork/srv/api/records/30d8a0ba-f96b-443c-a57d-1c276d827f4c/attachments/The-GEUS-Jupiter-database.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "30d8a0ba-f96b-443c-a57d-1c276d827f4c", "name": "item", "description": "30d8a0ba-f96b-443c-a57d-1c276d827f4c", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/30d8a0ba-f96b-443c-a57d-1c276d827f4c"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2025-05-07T11:28:02Z"}}, {"id": "5091d2ac-6f44-4d33-b080-9482243c146f", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[19.63, 34.81], [19.63, 41.75], [28.24, 41.75], [28.24, 34.81], [19.63, 34.81]]]}, "properties": {"updated": "2025-05-07T09:30:33.704Z", "language": "Greek", "title": "Industrial Development / Management Areas", "description": "Web Dashboard with information on Industrial development areas in Greece", "formats": [{"name": "ShapeFile"}, {"name": "WWW:LINK-1.0-http--link"}], "keywords": ["Greece", "Other databases useful for risk estimation", "Ministry of Environment and Energy (YPEN)"], "themes": [{"concepts": [{"id": "Other databases useful for risk estimation"}], "scheme": "Database type"}, {"concepts": [{"id": "Ministry of Environment and Energy (YPEN)"}], "scheme": "Organization"}]}, "links": [{"href": "http://mapsportal.ypen.gr/maps/834", "name": "Maps portal", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://geonetwork.greendecision.eu/geonetwork/srv/api/records/5091d2ac-6f44-4d33-b080-9482243c146f/attachments/Screenshot%202024-04-28%20151758.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "5091d2ac-6f44-4d33-b080-9482243c146f", "name": "item", "description": "5091d2ac-6f44-4d33-b080-9482243c146f", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/5091d2ac-6f44-4d33-b080-9482243c146f"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2025-05-07T09:30:33Z"}}, {"id": "56b62d2e-5610-49d1-80b7-d4282b9f1ab9", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.85, 47.27], [5.85, 55.06], [15.02, 55.06], [15.02, 47.27], [5.85, 47.27]]]}, "properties": {"updated": "2025-10-07T10:15:11.762Z", "language": "eng", "title": "Federal Portal", "description": "A federal portal for requesting the information from the register of contaminated sites or soil protection cadastre and other online services provided by Germany\u2019s federal, state and local governments.", "formats": [{"name": "WWW:LINK-1.0-http--link"}], "keywords": ["Germany", "Natonal", "Other databases useful for risk estimation", "Federal Ministry of the Interior and Community"], "themes": [{"concepts": [{"id": "Germany"}], "scheme": "Place"}, {"concepts": [{"id": "Natonal"}], "scheme": "Data coverage"}, {"concepts": [{"id": "Other databases useful for risk estimation"}], "scheme": "Database type"}, {"concepts": [{"id": "Federal Ministry of the Interior and Community"}], "scheme": "Organization"}]}, "links": [{"href": "https://verwaltung.bund.de/leistungsverzeichnis/en/leistung/99020001023000", "name": "Federal portal", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "https://geonetwork.greendecision.eu/geonetwork/srv/api/records/56b62d2e-5610-49d1-80b7-d4282b9f1ab9/attachments/Bundesportal-Request-information-from-the-register-of-contaminated-sites-or-soil-protection-cadastre-10-07-2025_12_14_PM.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "56b62d2e-5610-49d1-80b7-d4282b9f1ab9", "name": "item", "description": "56b62d2e-5610-49d1-80b7-d4282b9f1ab9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/56b62d2e-5610-49d1-80b7-d4282b9f1ab9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2025-10-07T10:15:11Z"}}, {"id": "58441d75-5880-45e0-b678-7e924669c969", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.85, 47.27], [5.85, 55.06], [15.02, 55.06], [15.02, 47.27], [5.85, 47.27]]]}, "properties": {"updated": "2025-05-08T08:42:37.078Z", "language": "eng", "title": "UBA Metadata catalogue", "description": "UBA Metadata Catalogue website contains various databases that can be downloaded and viewed in Data Viewer.  Nitrogen excess, Aggregated TFA concentrations for river basins and Forest Soil Condition Survey II \u2013 Organic Pollutants Subproject, that allows you to research how heavily the forest soils are contaminated with persistent, organic pollutants.", "formats": [{"name": "WWW:LINK-1.0-http--link"}], "keywords": ["Germany", "National", "Other databases useful for risk estimation", "All contaminants (not specified)", "Umweltbundesamt (Federal Environment Agency)"], "themes": [{"concepts": [{"id": "Germany"}], "scheme": "Place"}, {"concepts": [{"id": "National"}], "scheme": "Data coverage"}, {"concepts": [{"id": "Other databases useful for risk estimation"}], "scheme": "Database type"}, {"concepts": [{"id": "All contaminants (not specified)"}], "scheme": "Contaminants"}, {"concepts": [{"id": "Umweltbundesamt (Federal Environment Agency)"}], "scheme": "Organization"}]}, "links": [{"href": "https://metadaten.uba.de/smartfinder-client/?lang=en#/search?term=&wc=1&ph=1", "name": "National UBA Metadata catalogue", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "https://geonetwork.greendecision.eu/geonetwork/srv/api/records/58441d75-5880-45e0-b678-7e924669c969/attachments/All-metadata-Metadatenkatalog-des-UBA-05-07-2025_10_44_AM.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "58441d75-5880-45e0-b678-7e924669c969", "name": "item", "description": "58441d75-5880-45e0-b678-7e924669c969", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/58441d75-5880-45e0-b678-7e924669c969"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2025-05-08T08:42:37Z"}}, {"id": "5cf1fa80-4a56-4812-8f41-656df8952859", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[19.63, 34.81], [19.63, 41.75], [28.24, 41.75], [28.24, 34.81], [19.63, 34.81]]]}, "properties": {"updated": "2025-01-20T10:30:04.518Z", "created": "2008-01-01", "title": "Quarries", "description": "GIS web platform with information about Quarry sites", "formats": [{"name": "ShapeFile"}, {"name": "WWW:LINK-1.0-http--link"}], "keywords": ["Greece", "National", "Other databases useful for risk estimation", "Metals and elements", "Ministry of Environment and Energy (YPEN)"], "themes": [{"concepts": [{"id": "National"}], "scheme": "Data coverage"}, {"concepts": [{"id": "Other databases useful for risk estimation"}], "scheme": "Database type"}, {"concepts": [{"id": "Metals and elements"}], "scheme": "Contaminants"}, {"concepts": [{"id": "Ministry of Environment and Energy (YPEN)"}], "scheme": "Organization"}]}, "links": [{"href": "http://www.latomet.gr/ypan/Default_GIS.aspx", "name": "\u03a5\u03c0\u03bf\u03c5\u03c1\u03b3\u03b5\u03af\u03bf \u03a0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03bf\u03c2 \u03ba\u03b1\u03b9 \u0395\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1\u03c2", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/maps/862", "name": "Maps portal", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://geonetwork.greendecision.eu/geonetwork/srv/api/records/5cf1fa80-4a56-4812-8f41-656df8952859/attachments/Screenshot%202024-04-28%20122015.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "5cf1fa80-4a56-4812-8f41-656df8952859", "name": "item", "description": "5cf1fa80-4a56-4812-8f41-656df8952859", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/5cf1fa80-4a56-4812-8f41-656df8952859"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2025-01-20T10:30:04Z"}}, {"id": "67731b96-a940-4996-b6c7-c38fe22ac4a2", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[22.34, 41.24], [22.34, 44.23], [28.6, 44.23], [28.6, 41.24], [22.34, 41.24]]]}, "properties": {"updated": "2025-10-07T10:01:35.024Z", "language": "eng", "title": "Inventory of closed mining waste facilities", "description": "Mines and quarries (Mining sites) - /Inactive/", "formats": [{"name": "WWW:LINK-1.0-http--link"}], "keywords": ["Bulgaria", "Natonal", "Other databases useful for risk estimation", "Bulgarian Executive Environment Agency (ExEA)"], "themes": [{"concepts": [{"id": "Bulgaria"}], "scheme": "Place"}, {"concepts": [{"id": "Natonal"}], "scheme": "Data coverage"}, {"concepts": [{"id": "Other databases useful for risk estimation"}], "scheme": "Database type"}, {"concepts": [{"id": "Bulgarian Executive Environment Agency (ExEA)"}], "scheme": "Organization"}]}, "links": [{"href": "https://eea.government.bg/opis-na-zakriti-saorazheniya-za-minni-otpadaci", "name": "Dataset", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "https://geonetwork.greendecision.eu/geonetwork/srv/api/records/67731b96-a940-4996-b6c7-c38fe22ac4a2/attachments/%D0%9E%D0%BF%D0%B8%D1%81-%D0%BD%D0%B0-%D0%B7%D0%B0%D0%BA%D1%80%D0%B8%D1%82%D0%B8-%D1%81%D1%8A%D0%BE%D1%80%D1%8A%D0%B6%D0%B5%D0%BD%D0%B8%D1%8F-%D0%B7%D0%B0-%D0%BC%D0%B8%D0%BD%D0%BD%D0%B8-%D0%BE%D1%82%D0%BF%D0%B0%D0%B4%D1%8A%D1%86%D0%B8-%D0%98%D0%90%D0%9E%D0%A1-%D0%98%D0%B7%D0%BF%D1%8A%D0%BB%D0%BD%D0%B8%D1%82%D0%B5%D0%BB%D0%BD%D0%B0%D1%82%D0%B0-%D0%B0%D0%B3%D0%B5%D0%BD%D1%86%D0%B8%D1%8F-%D0%BF%D0%BE-%D0%BE%D0%BA%D0%BE%D0%BB%D0%BD%D0%B0-%D1%81%D1%80%D0%B5%D0%B4%D0%B0-10-07-2025_11_57_AM.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "67731b96-a940-4996-b6c7-c38fe22ac4a2", "name": "item", "description": "67731b96-a940-4996-b6c7-c38fe22ac4a2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/67731b96-a940-4996-b6c7-c38fe22ac4a2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2025-10-07T10:01:35Z"}}, {"id": "9c589b91-da5b-47d0-be44-9674497bff3d", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[19.63, 34.81], [19.63, 41.75], [28.24, 41.75], [28.24, 34.81], [19.63, 34.81]]]}, "properties": {"updated": "2025-01-20T15:24:45.301Z", "language": "Greek", "title": "Online Geospatial Information Portal: Corine land cover data", "description": "Land Cover data according to the deliverables of the European Union's CORINE programme. Data was retrieved from the Copernicus Program site, transformed into EGSA 87 and cut off at the borders of the Greek Territory.\n\nAvailable for all users.", "formats": [{"name": "ShapeFile"}, {"name": "WWW:LINK-1.0-http--link"}], "keywords": ["Greece", "National", "Other databases useful for risk estimation", "Ministry of Environment and Energy (YPEN)"], "themes": [{"concepts": [{"id": "National"}], "scheme": "Data coverage"}, {"concepts": [{"id": "Other databases useful for risk estimation"}], "scheme": "Database type"}, {"concepts": [{"id": "Ministry of Environment and Energy (YPEN)"}], "scheme": "Organization"}]}, "links": [{"href": "http://mapsportal.ypen.gr/layers/geonode:gr_clc2018", "name": "Corine Land Cover 2018", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/layers/geonode:gr_clc2012_v20", "name": "Corine Land Cover 2012", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/layers/geonode:gr_clc2006_v20", "name": "Corine Land Cover 2006", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/layers/geonode:gr_clc2000_v20", "name": "Corine Land Cover 2000", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/layers/geonode:gr_clc1990_v20", "name": "Corine Land Cover 1990", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/layers/geonode:gr_cha1218", "name": "Corine Land Cover Changes 2012-2018", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/layers/geonode:gr_cha0612_v20", "name": "Corine Land Cover Changes 2006-2012", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/layers/geonode:gr_cha0006_v20", "name": "Corine Land Cover Changes 2000-2006", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/layers/geonode:gr_cha9000_v20", "name": "Corine Land Cover Changes 1990-2000", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://geonetwork.greendecision.eu/geonetwork/srv/api/records/9c589b91-da5b-47d0-be44-9674497bff3d/attachments/Screenshot%202024-04-28%20150420.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "9c589b91-da5b-47d0-be44-9674497bff3d", "name": "item", "description": "9c589b91-da5b-47d0-be44-9674497bff3d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/9c589b91-da5b-47d0-be44-9674497bff3d"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2025-01-20T15:24:45Z"}}, {"id": "b82b58a2-6a83-4855-a9e8-5314b9901a87", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[19.63, 34.81], [19.63, 41.75], [28.24, 41.75], [28.24, 34.81], [19.63, 34.81]]]}, "properties": {"updated": "2025-05-07T09:31:00.516Z", "title": "Maps related to climatic change", "description": "Climate projection data and maps to support the analysis of climate change impacts and the planning of adaptation policies and measures. The climate data in question have been produced for 2 future periods 2031-2060 (near future) and 2071-2100 (far future) with a reference period of 1971-2000 (present climate). Future climate projections are based on 3 IPCC Representative Concentration Pathways (GHG) scenarios: the severe mitigation scenario (RCP 2.6), the intermediate mitigation scenario (RCP4.5) and finally the extreme scenario with very high GHG emissions (RCP8.5).", "formats": [{"name": "ShapeFile"}, {"name": "WWW:LINK-1.0-http--link"}], "keywords": ["Greece", "Other databases useful for risk estimation", "Ministry of Environment and Energy (YPEN)"], "themes": [{"concepts": [{"id": "Other databases useful for risk estimation"}], "scheme": "Database type"}, {"concepts": [{"id": "Ministry of Environment and Energy (YPEN)"}], "scheme": "Organization"}]}, "links": [{"href": "http://mapsportal.ypen.gr/thema_climatechange", "name": "Maps portal", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://geonetwork.greendecision.eu/geonetwork/srv/api/records/b82b58a2-6a83-4855-a9e8-5314b9901a87/attachments/Screenshot%202024-04-28%20153502.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "b82b58a2-6a83-4855-a9e8-5314b9901a87", "name": "item", "description": "b82b58a2-6a83-4855-a9e8-5314b9901a87", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/b82b58a2-6a83-4855-a9e8-5314b9901a87"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2025-05-07T09:31:00Z"}}, {"id": "d2984080-c656-4c40-a62a-05046f22480a", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-10.48, 51.45], [-10.48, 55.39], [-5.99, 55.39], [-5.99, 51.45], [-10.48, 51.45]]]}, "properties": {"updated": "2025-10-07T10:22:11.958Z", "language": "eng", "title": "Historic landfills", "description": "A portal for searching Historic Landfill Application or Certificate of Authorisation.", "formats": [{"name": "WWW:LINK-1.0-http--link"}], "keywords": ["Ireland", "Natonal", "Other databases useful for risk estimation", "Environmental Protection Agency Ireland"], "themes": [{"concepts": [{"id": "Ireland"}], "scheme": "Place"}, {"concepts": [{"id": "Natonal"}], "scheme": "Data coverage"}, {"concepts": [{"id": "Other databases useful for risk estimation"}], "scheme": "Database type"}, {"concepts": [{"id": "Environmental Protection Agency Ireland"}], "scheme": "Organization"}]}, "links": [{"href": "https://epawebapp.epa.ie/terminalfour/HLF/index.jsp?disclaimer=yes&Submit=Continue", "name": "Portal", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "https://geonetwork.greendecision.eu/geonetwork/srv/api/records/d2984080-c656-4c40-a62a-05046f22480a/attachments/Environmental-Protection-Agency-10-07-2025_12_21_PM.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "d2984080-c656-4c40-a62a-05046f22480a", "name": "item", "description": "d2984080-c656-4c40-a62a-05046f22480a", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/d2984080-c656-4c40-a62a-05046f22480a"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2025-10-07T10:22:11Z"}}, {"id": "dc526f93-5662-4ad0-902b-94ea81ddf591", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[19.63, 34.81], [19.63, 41.75], [28.24, 41.75], [28.24, 34.81], [19.63, 34.81]]]}, "properties": {"updated": "2025-10-07T10:19:50.404Z", "language": "eng", "title": "Geospatial Information Portal of the Ministry of Environment and Energy (MEE)", "description": "The purpose of the Portal is to disseminate geospatial information, which concerns phenomena of the natural and urban environment in the form of \"maps\" (for example: quarries and industrial developement and management areas). In the Geospatial Information Portal of the Ministry of National Economy, the user has the ability to visualise, examine and combine thematic layers (patches) on available general backgrounds", "formats": [{"name": "WWW:LINK-1.0-http--link"}], "keywords": ["Greece", "Natonal", "Other databases useful for risk estimation", "Ministry of Environment and Energy (MEE)"], "themes": [{"concepts": [{"id": "Greece"}], "scheme": "Place"}, {"concepts": [{"id": "Natonal"}], "scheme": "Data coverage"}, {"concepts": [{"id": "Other databases useful for risk estimation"}], "scheme": "Database type"}, {"concepts": [{"id": "Ministry of Environment and Energy (MEE)"}], "scheme": "Organization"}]}, "links": [{"href": "https://mapsportal.ypen.gr/maps/", "name": "Portal", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://mapsportal.ypen.gr/maps/862", "name": "Quarries", "rel": null}, {"href": "http://mapsportal.ypen.gr/maps/834", "name": "Industrial development/management areas", "rel": null}, {"href": "https://geonetwork.greendecision.eu/geonetwork/srv/api/records/dc526f93-5662-4ad0-902b-94ea81ddf591/attachments/%CE%96%CF%8E%CE%BD%CE%B5%CF%82-%CE%A3%CF%84%CE%B1%CE%B8%CE%BC%CF%8E%CE%BD-%CE%98%CE%BF%CF%81%CF%8D%CE%B2%CE%BF%CF%85-%CE%94%CE%B9%CE%B5%CE%B8%CE%BD%CE%BF%CF%8D%CF%82-%CE%91%CE%B5%CF%81%CE%BF%CE%BB%CE%B9%CE%BC%CE%AD%CE%BD%CE%B1-%CE%91%CE%B8%CE%B7%CE%BD%CF%8E%CE%BD-%E2%80%94-%CE%A5%CE%A0%CE%95%CE%9D-%CE%93%CE%B5%CF%89%CF%87%CF%89%CF%81%CE%B9%CE%BA%CE%AD%CF%82-%CE%A0%CE%BB%CE%B7%CF%81%CE%BF%CF%86%CE%BF%CF%81%CE%AF%CE%B5%CF%82-%CE%A7%CE%AC%CF%81%CF%84%CE%B5%CF%82-10-07-2025_12_17_PM.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "dc526f93-5662-4ad0-902b-94ea81ddf591", "name": "item", "description": "dc526f93-5662-4ad0-902b-94ea81ddf591", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/dc526f93-5662-4ad0-902b-94ea81ddf591"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2025-10-07T10:19:50Z"}}, {"id": "dc91e9ba-4ea7-40f7-9579-b5f93222cba1", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-5.14, 41.33], [-5.14, 51.09], [9.56, 51.09], [9.56, 41.33], [-5.14, 41.33]]]}, "properties": {"updated": "2025-10-07T10:06:48.704Z", "language": "eng", "title": "Cartofriches", "description": "A national inventory of brownfield sites based on local knowledge.", "formats": [{"name": "WWW:LINK-1.0-http--link"}], "keywords": ["France", "Natonal", "Other databases useful for risk estimation", "French Centre for Studies and Expertise on Risks", " the Environment", " Mobility and Urban Planning"], "themes": [{"concepts": [{"id": "France"}], "scheme": "Place"}, {"concepts": [{"id": "Natonal"}], "scheme": "Data coverage"}, {"concepts": [{"id": "Other databases useful for risk estimation"}], "scheme": "Database type"}, {"concepts": [{"id": "French Centre for Studies and Expertise on Risks, the Environment, Mobility and Urban Planning"}], "scheme": "Organization"}]}, "links": [{"href": "https://cartofriches.cerema.fr/cartofriches/", "name": "Dataset", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "https://geonetwork.greendecision.eu/geonetwork/srv/api/records/dc91e9ba-4ea7-40f7-9579-b5f93222cba1/attachments/Cartofriches-10-07-2025_12_04_PM.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "dc91e9ba-4ea7-40f7-9579-b5f93222cba1", "name": "item", "description": "dc91e9ba-4ea7-40f7-9579-b5f93222cba1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/dc91e9ba-4ea7-40f7-9579-b5f93222cba1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2025-10-07T10:06:48Z"}}, {"id": "fd902e44-1fc9-4a76-89d7-dacf2b8dd55a", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.85, 47.27], [5.85, 55.06], [15.02, 55.06], [15.02, 47.27], [5.85, 47.27]]]}, "properties": {"updated": "2025-10-07T10:30:27.732Z", "language": "eng", "title": "Contaminated Sites Register Online / Central application Service", "description": "A private company which offers a service through which citizens can order registry extracts / real estate documents from their own region. The data is stored by the environmental agencies of the states or municipalities.", "formats": [{"name": "WWW:LINK-1.0-http--link"}], "keywords": ["Germany", "Natonal", "Other databases useful for risk estimation", "All contaminants (not specified)", "ZA Zentraler Antragsservice LTD"], "themes": [{"concepts": [{"id": "Germany"}], "scheme": "Place"}, {"concepts": [{"id": "Natonal"}], "scheme": "Data coverage"}, {"concepts": [{"id": "Other databases useful for risk estimation"}], "scheme": "Database type"}, {"concepts": [{"id": "All contaminants (not specified)"}], "scheme": "Contaminants"}, {"concepts": [{"id": "ZA Zentraler Antragsservice LTD"}], "scheme": "Organization"}]}, "links": [{"href": "https://altlastenkataster.org/", "name": "Atlas", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "https://geonetwork.greendecision.eu/geonetwork/srv/api/records/fd902e44-1fc9-4a76-89d7-dacf2b8dd55a/attachments/%E1%90%85-Altlastenverzeichnis-Online-beantragen-Altlastenkataster-Online-Digital-10-07-2025_12_12_PM.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "fd902e44-1fc9-4a76-89d7-dacf2b8dd55a", "name": "item", "description": "fd902e44-1fc9-4a76-89d7-dacf2b8dd55a", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/fd902e44-1fc9-4a76-89d7-dacf2b8dd55a"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2025-10-07T10:30:27Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Databases&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Databases&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Databases&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Databases&offset=26", "hreflang": "en-US"}], "numberMatched": 26, "numberReturned": 26, "distributedFeatures": [], "timeStamp": "2026-05-30T08:14:33.759703Z"}