{"type": "FeatureCollection", "features": [{"id": "10.1002/joc.1276", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:14:05Z", "type": "Journal Article", "created": "2005-11-30", "title": "Very High Resolution Interpolated Climate Surfaces For Global Land Areas", "description": "(Uploaded by Plazi for the Bat Literature Project) We developed interpolated climate surfaces for global land areas (excluding Antarctica) at a spatial resolution of 30 arc s (often referred to as 1-km spatial resolution). The climate elements considered were monthly precipitation and mean, minimum, and maximum temperature. Input data were gathered from a variety of sources and, where possible, were restricted to records from the 1950\u20132000 period. We used the thin-plate smoothing spline algorithm implemented in the ANUSPLIN package for interpolation, using latitude, longitude, and elevation as independent variables. We quantified uncertainty arising from the input data and the interpolation by mapping weather station density, elevation bias in the weather stations, and elevation variation within grid cells and through data partitioning and cross validation. Elevation bias tended to be negative (stations lower than expected) at high latitudes but positive in the tropics. Uncertainty is highest in mountainous and in poorly sampled areas. Data partitioning showed high uncertainty of the surfaces on isolated islands, e.g. in the Pacific. Aggregating the elevation and climate data to 10 arc min resolution showed an enormous variation within grid cells, illustrating the value of high-resolution surfaces. A comparison with an existing data set at 10 arc min resolution showed overall agreement, but with significant variation in some regions. A comparison with two high-resolution data sets for the United States also identified areas with large local differences, particularly in mountainous areas. Compared to previous global climatologies, ours has the following advantages: the data are at a higher spatial resolution (400 times greater or more); more weather station records were used; improved elevation data were used; and more information about spatial patterns of uncertainty in the data is available. Owing to the overall low density of available climate stations, our surfaces do not capture of all variation that may occur at a resolution of 1 km, particularly of precipitation in mountainous areas. In future work, such variation might be captured through knowledgebased methods and inclusion of additional co-variates, particularly layers obtained through remote sensing. Copyright \uf6d9 2005 Royal Meteorological Society.", "keywords": ["0106 biological sciences", "0301 basic medicine", "550", "Climate", "bats", "bat", "Precipitation", "precipitation", "01 natural sciences", "Error", "geographical information systems", "03 medical and health sciences", "precipitaci\u00f3n atmosf\u00e9rica", "Chiroptera", "1902 Atmospheric Science", "Animalia", "Chordata", "temperatura", "factores clim\u00e1ticos", "procesamiento de datos", "Temperature", "Uncertainty", "temperature", "Biodiversity", "15. Life on land", "GIS", "climatic factors", "Interpolation", "ANUSPLIN", "13. Climate action", "Mammalia", "sistemas de informaci\u00f3n geogr\u00e1fica", "data processing"]}, "links": [{"href": "https://doi.org/10.1002/joc.1276"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Climatology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/joc.1276", "name": "item", "description": "10.1002/joc.1276", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/joc.1276"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2005-01-01T00:00:00Z"}}, {"id": "10.1093/bioinformatics/btac037", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:17:14Z", "type": "Journal Article", "created": "2022-01-26", "title": "GenomeTornadoPlot: a novel R package for CNV visualization and focality analysis", "description": "Abstract                                   Motivation                   <p>Analysis of focal copy number variations (CNVs) is highly relevant for cancer research, as they pinpoint driver genes. More specifically, due to selective pressure oncogenes and tumor suppressor genes are more often affected by these events than neighboring passengers. In cases where multiple candidates co-reside in a genomic locus, careful comparison is required to either identify multigenic minimally deleted regions of synergistic co-mutations, or the true single driver gene. The study of focal CNVs in large cancer genome cohorts requires specialized visualization and statistical analysis.</p>                                                   Results                   <p>We developed the GenomeTornadoPlot R-package which generates gene-centric visualizations of CNV types, locations and lengths from cohortwise NGS data. Furthermore, the software enables the pairwise comparison of proximate genes to identify co-mutation patterns or driver-passenger hierarchies. The visual examination provided by GenomeTornadoPlot is further supported by adaptable local and global focality scoring. Integrated into the GenomeTornadoPlot R-Package is the comprehensive PCAWG database of CNVs, comprising 2976 cancer genome entities from 46 cohorts of the Pan-cancer Analysis of Whole Genomes project. The GenomeTornadoPlot R-package can be used to perform exploratory or hypothesis-driven analyses on the basis of the PCAWG data or in combination with data provided by the user.</p>                                                   Availability and implementation                   <p>GenomeTornadoPlot is written in R script and released via github: &amp;lt;https://github.com/chenhong-dkfz/GenomeTornadoPlot/&amp;gt;. The package is under the license of GPL-3.0.</p>", "keywords": ["570", "DNA Copy Number Variations", "ddc-570", "Genomics", "Oncogenes", "004 Data processing Computer science", "Software", "ddc-004", "570 Life sciences", "004", "3. Good health"]}, "links": [{"href": "https://archiv.ub.uni-heidelberg.de/volltextserver/34483/1/btac037.pdf"}, {"href": "https://archiv.ub.uni-heidelberg.de/volltextserverhttps://archiv.ub.uni-heidelberg.de/volltextserver/34483/1/btac037.pdf"}, {"href": "https://academic.oup.com/bioinformatics/article-pdf/38/7/2036/49009547/btac037.pdf"}, {"href": "https://doi.org/10.1093/bioinformatics/btac037"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Bioinformatics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1093/bioinformatics/btac037", "name": "item", "description": "10.1093/bioinformatics/btac037", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1093/bioinformatics/btac037"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-31T00:00:00Z"}}, {"id": "10.1186/s12302-024-00873-1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:17:57Z", "type": "Journal Article", "created": "2024-03-11", "title": "SWAT\u2009+\u2009input data preparation in a scripted workflow: SWATprepR", "description": "Abstract<p>Input data collection, quality assurance and preparation are central but time_consuming steps in environmental modeling. Errors due to manual processing of model input data can result in an incorrect representation of an environmental system and may consequently lead to implausible model simulations. Correct input data preparation and thorough quality check at an early stage of the model setup procedure are essential to build confidence in model simulation results. Typically, in environmental model applications, many steps in the input data preparation phase have to be repeated with the inflow of new, additional or corrected data. In this study, we selected the widely used SWAT\uffe2\uff80\uff89+\uffe2\uff80\uff89ecohydrological model as an illustrative example to investigate challenges related to input data preparation. To assist in these tasks, we developed an R package named SWATprepR, which provides functions for typical and repeating SWAT\uffe2\uff80\uff89+\uffe2\uff80\uff89model input data preparation tasks. The package supports the preparation of weather input files, atmospheric deposition, soil parameters, crop rotations, and observed (control or calibration) data, to name a few, presently with focus on European applications. The SWATprepR functions are integrated in R script workflows and can help SWAT\uffe2\uff80\uff89+\uffe2\uff80\uff89modelers to avoid repetitive tasks, secure reproducibility and transparently document the data processing steps. Application of the package is illustrated with a test case of a SWAT\uffe2\uff80\uff89+\uffe2\uff80\uff89model for a small catchment in central Poland.</p", "keywords": ["Environmental sciences", "SWAT\u2009+\u2009model", "Environmental law", "R package", "0208 environmental biotechnology", "0207 environmental engineering", "GE1-350", "02 engineering and technology", "Input data processing", "K3581-3598", "Reproducibility", "Workflow"]}, "links": [{"href": "https://link.springer.com/content/pdf/10.1186/s12302-024-00873-1.pdf"}, {"href": "https://doi.org/10.1186/s12302-024-00873-1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Sciences%20Europe", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1186/s12302-024-00873-1", "name": "item", "description": "10.1186/s12302-024-00873-1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1186/s12302-024-00873-1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-11T00:00:00Z"}}, {"id": "10.5281/zenodo.13972269", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:20:08Z", "type": "Report", "created": "2024-10-22", "title": "Soil Data Assimilation Guidance", "description": "The Soil Data Assimiliation Guidance wiki is a collaborative effort to collect and describe hands-on good practices on data assimilation in the soil domain, with a focus on Europe. The term Soil data assimilation\u00a0has been chosen by the autors as an alternative to the terms harmonisation and standardisation, which already have a specific meaning in the soil domain:    standardisation; aligning soil data to a common model, using common codelists.  harmonisation; transforming results from observations and measurements to values as if all results for a property are measured using the same procedure, by applying so called Pedotransfer Functions (PTF).   The process of assimilation also aims to capture additional aspects, such as finding, downloading and using the data. Most of these aspects are also well described as part of the\u00a0FAIR principles.  The \u201cInfrastructure for Spatial Information in the European Community\u201d (INSPIRE) directive has been and is an important effort for standardisation in the environmental data domain, therefore this wiki has many links to INSPIRE sources. Because INSPIRE adopts industry standards, this wiki does reference common standards from ISO (International Organization for Standardization), Open Geospatial Consortium, Global Soils Partnership, IANA (Internet Assigned Numbers Authority) and W3C (World Wide Web Consortium), giving it a global relevance.  This guide was initiatied by ISRIC - World Soil Information and Wageningen Environmental Research as part of the European Joint Program on Soil (EJP Soil) with funding from the European Union\u2019s horizon 2020 research and innovation programme under grant agreement No. 862695.", "keywords": ["EJP Soil", "Data processing", "Soil sciences", "OGC", "INSPIRE", "FAIR", "Data science"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13972269"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13972269", "name": "item", "description": "10.5281/zenodo.13972269", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13972269"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-22T00:00:00Z"}}, {"id": "10.5281/zenodo.13972270", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:20:08Z", "type": "Report", "created": "2024-10-22", "title": "Soil Data Assimilation Guidance", "description": "The Soil Data Assimiliation Guidance wiki is a collaborative effort to collect and describe hands-on good practices on data assimilation in the soil domain, with a focus on Europe. The term Soil data assimilation\u00a0has been chosen by the autors as an alternative to the terms harmonisation and standardisation, which already have a specific meaning in the soil domain:    standardisation; aligning soil data to a common model, using common codelists.  harmonisation; transforming results from observations and measurements to values as if all results for a property are measured using the same procedure, by applying so called Pedotransfer Functions (PTF).   The process of assimilation also aims to capture additional aspects, such as finding, downloading and using the data. Most of these aspects are also well described as part of the\u00a0FAIR principles.  The \u201cInfrastructure for Spatial Information in the European Community\u201d (INSPIRE) directive has been and is an important effort for standardisation in the environmental data domain, therefore this wiki has many links to INSPIRE sources. Because INSPIRE adopts industry standards, this wiki does reference common standards from ISO (International Organization for Standardization), Open Geospatial Consortium, Global Soils Partnership, IANA (Internet Assigned Numbers Authority) and W3C (World Wide Web Consortium), giving it a global relevance.  This guide was initiatied by ISRIC - World Soil Information and Wageningen Environmental Research as part of the European Joint Program on Soil (EJP Soil) with funding from the European Union\u2019s horizon 2020 research and innovation programme under grant agreement No. 862695.", "keywords": ["EJP Soil", "Data processing", "Soil sciences", "OGC", "INSPIRE", "FAIR", "Data science"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13972270"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13972270", "name": "item", "description": "10.5281/zenodo.13972270", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13972270"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-22T00:00:00Z"}}, {"id": "PMC8963283", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:24:25Z", "type": "Journal Article", "created": "2022-01-26", "title": "GenomeTornadoPlot: a novel R package for CNV visualization and focality analysis", "description": "Abstract                                   Motivation                   <p>Analysis of focal copy number variations (CNVs) is highly relevant for cancer research, as they pinpoint driver genes. More specifically, due to selective pressure oncogenes and tumor suppressor genes are more often affected by these events than neighboring passengers. In cases where multiple candidates co-reside in a genomic locus, careful comparison is required to either identify multigenic minimally deleted regions of synergistic co-mutations, or the true single driver gene. The study of focal CNVs in large cancer genome cohorts requires specialized visualization and statistical analysis.</p>                                                   Results                   <p>We developed the GenomeTornadoPlot R-package which generates gene-centric visualizations of CNV types, locations and lengths from cohortwise NGS data. Furthermore, the software enables the pairwise comparison of proximate genes to identify co-mutation patterns or driver-passenger hierarchies. The visual examination provided by GenomeTornadoPlot is further supported by adaptable local and global focality scoring. Integrated into the GenomeTornadoPlot R-Package is the comprehensive PCAWG database of CNVs, comprising 2976 cancer genome entities from 46 cohorts of the Pan-cancer Analysis of Whole Genomes project. The GenomeTornadoPlot R-package can be used to perform exploratory or hypothesis-driven analyses on the basis of the PCAWG data or in combination with data provided by the user.</p>                                                   Availability and implementation                   <p>GenomeTornadoPlot is written in R script and released via github: &amp;lt;https://github.com/chenhong-dkfz/GenomeTornadoPlot/&amp;gt;. The package is under the license of GPL-3.0.</p>", "keywords": ["570", "DNA Copy Number Variations", "ddc-570", "Genomics", "Oncogenes", "004 Data processing Computer science", "Software", "004", "570 Life sciences", "ddc-004", "3. Good health"]}, "links": [{"href": "https://archiv.ub.uni-heidelberg.de/volltextserverhttps://archiv.ub.uni-heidelberg.de/volltextserver/34483/1/btac037.pdf"}, {"href": "https://archiv.ub.uni-heidelberg.de/volltextserver/34483/1/btac037.pdf"}, {"href": "https://academic.oup.com/bioinformatics/article-pdf/38/7/2036/49009547/btac037.pdf"}, {"href": "https://doi.org/PMC8963283"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Bioinformatics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "PMC8963283", "name": "item", "description": "PMC8963283", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC8963283"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-31T00:00:00Z"}}, {"id": "f30cf414-2a45-4eba-b905-c7c771485c1d", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[11.37, 4.33], [11.37, 6.26], [13.08, 6.26], [13.08, 4.33], [11.37, 4.33]]]}, "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 ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung 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 ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-09-26", "type": "Service", "created": "2024-08-20", "language": "eng", "title": "Web Map Service of the dataset 'MODIS fire data (active fire and burned area) from 2003 to 2023 in Yoko and Nanga-Eboko municipalities in the central region of Cameroon'", "description": "This Web Map Service includes spatial information used by datasets 'MODIS fire data (active fire and burned area) from 2003 to 2023 in Yoko and Nanga-Eboko municipalities in the central region of Cameroon'", "keywords": ["infoMapAccessService", "data processing", "remote sensing", "image processing", "space", "data processing", "remote sensing", "image processing", "space", "Africa", "Cameroon"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "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": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Kueshi Semanou Dahan", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "KueshiSemanou.Dahan@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-9243-6826", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Katharina Loehr", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "Katharina.Loehr@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-2691-9712", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research", "roles": ["contributor"]}], "themes": [{"concepts": [{"id": "infoMapAccessService"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "data processing"}, {"id": "remote sensing"}, {"id": "image processing"}, {"id": "space"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "data processing"}, {"id": "remote sensing"}, {"id": "image processing"}, {"id": "space"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Africa"}, {"id": "Cameroon"}], "scheme": "individual"}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=f30cf414-2a45-4eba-b905-c7c771485c1d", "rel": "information"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Zalf/ID_5874_Fires/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"rel": "self", "type": "application/geo+json", "title": "f30cf414-2a45-4eba-b905-c7c771485c1d", "name": "item", "description": "f30cf414-2a45-4eba-b905-c7c771485c1d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/f30cf414-2a45-4eba-b905-c7c771485c1d"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-26T00:00:00Z"}}, {"id": "98979354-f4a2-4f86-947f-9f20cc672cc3", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[11.37, 4.33], [11.37, 6.26], [13.08, 6.26], [13.08, 4.33], [11.37, 4.33]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "data processing"}, {"id": "remote sensing"}, {"id": "image processing"}, {"id": "space"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "GEE; MCD14DL and NRT; Active data"}, {"id": "MCD64A1 data; Burned data; image filtering"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Africa"}, {"id": "Cameroon"}], "scheme": "individual"}], "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 ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung 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 ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-09-30", "type": "Dataset", "created": "2024-08-20", "language": "eng", "title": "MODIS fire data (active fire and burned area) from 2003 to 2023 in Yoko and Nanga-Eboko municipalities in the central region of Cameroon", "description": "In this study, we used the monthly time series of medium spatial resolution remote sensing images (2003 to 2023) operated by the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor. All images were processed on the Google Earth Engine platform (https://code.earthengine.google.com). GEE is a scalable, cloud-based geospatial retrieval and processing platform that offers free in-cloud data access, processing, and administration. The MODIS product used for burned area assessment was from collection 6.1.  The images of the burned area (MCD64A1) and active fire (MCD14DL and NRT) were computed from https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD64A1 and https://developers.google.com/earth-engine/datasets/catalog/FIRMS,  In this study, over a 20-year study period (2003 to 2023), 252 images were processed at a rate of one image per month for the burned area through the GEE platform when setting up the code. Based on this information, a technique for processing, evaluating, and displaying geodata on forest fires and their consequences was created. The approach consists of four (4) main parts in this study, which are: acquiring and loading input data from publicly available geographic information web services (http://diva-gis.org/datadown)(Step1); pre-processing (filtering) of multi-channel satellite images, computation of indexed images (Step2); thresholding and saving the original data and outcomes in cloud storage (Step3) and then exportation in GIS for geoprocessing (Step3). At the end of the processing, the metadata is composed of data in shapefile format of the monthly and annual burnt areas over the period 2003-2023 as well as those of the active fires. All the data has been re-structured in an Excel file with the appropriate area and number of active points.\nDescription of downloadable files: The single files for burned area mBA[year] contain the characteristics of the fire intensity and the occurrence. mBA[year]_Dissolve contain only one information about the area. \nThe supplemental material contains the statistics of the burned area and active fire.", "formats": [{"name": "CSV"}], "keywords": ["data processing", "remote sensing", "image processing", "space", "opendata", "GEE; MCD14DL and NRT; Active data", "MCD64A1 data; Burned data; image filtering", "Boden", "Africa", "Cameroon"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "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": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Kueshi Semanou Dahan", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "KueshiSemanou.Dahan@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-9243-6826", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Katharina Loehr", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "Katharina.Loehr@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-2691-9712", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=98979354-f4a2-4f86-947f-9f20cc672cc3", "rel": "information"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/Bush_Fire_Cameroon.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "98979354-f4a2-4f86-947f-9f20cc672cc3", "name": "item", "description": "98979354-f4a2-4f86-947f-9f20cc672cc3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/98979354-f4a2-4f86-947f-9f20cc672cc3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-30T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Data+processing&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=Data+processing&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=Data+processing&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Data+processing&offset=8", "hreflang": "en-US"}], "numberMatched": 8, "numberReturned": 8, "distributedFeatures": [], "timeStamp": "2026-09-21T11:49:32.577637Z"}