cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/d446589e-478f-4206-80ed-38a5ff4a7dc0
title: Land Cover Map 1990 (25m raster, N. Ireland)

description: This dataset consists of the 25m raster version of the Land Cover Map 1990 (LCM1990) for Northern Ireland. The 25m raster product consists of three bands: Band 1 - raster representation of the majority (dominant) class per polygon for 21 target classes; Band 2 - mean per polygon probability as reported by the Random Forest classifier (see supporting information); Band 3 - purity - percentage of the polygon covered by the majority class. The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. The 25m raster is the most detailed of the LCM1990 raster products both thematically and spatially, and it is used to derive the 1km products. LCM1990 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019.

LCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UKCEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs.

This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.

description: The 25m raster product is the most detailed of the LCM1990 raster products, both thematically and spatially, and it is derived from the LCM1990 vector product. For LCM1990, per-pixel classifications were conducted, using a random forest classification algorithm. The resultant classifications were then mosaicked together, with the best classifications taking priority. This produced a per-pixel classification of the UK, which was then 'imported' into the spatial framework, recording a number of attributes, including the majority class per polygon which is the Land Cover class for each polygon. The 25m raster product consists of three bands: Band 1 - raster representation of the majority (dominant) class per-polygon for the 21 target classes; Band2 - mean per polygon probability as reported by the Random Forest classifier; Band 3 -percentage of polygon covered by the majority class.
DOI: 10.15156/bio/sh0162628.10fu
title: SH0162628.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5285/4278d500-a165-452d-ae5f-b503323df9cb
title: Land Cover Map 2015 (1km dominant target class, N. Ireland)

description: This dataset consists of the 1km raster, dominant target class version of the Land Cover Map 2015 (LCM2015) for Northern Ireland.  The 1km dominant coverage product is based on the 1km percentage product and reports the habitat class with the highest percentage cover for each 1km pixel.  The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats.   This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. LCM2015 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. 

LCM2015 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the CEH web site and the LCM2015 Dataset documentation) to select the product most suited to their needs. 

LCM2015 was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. It is one of a series of land cover maps, produced by UKCEH since 1990.  They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019.
description: The 1km dominant cover target class is produced from the 1km percentage cover target class product. The 1km percentage cover data is used to identify the highest percentage cover across the 21 bands and a script is used to identify which band the maximum value coincides with.
DOI: 10.15156/bio/sh0162629.10fu
title: SH0162629.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5285/2f711e25-8043-4a12-ab66-a52d4e649532
title: Land Cover Map 2019 (25m rasterised land parcels, N. Ireland)

description: This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2019(LCM2019) representing Northern Ireland. It describes Northern Ireland's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  This dataset was derived by rasterising the corresponding LCM2019 land parcels dataset into 25m pixels.  It is provided as a 3-band, 8-bit integer raster.  The first band is the UKCEH Land Cover Class identifier.  Bands 2 and 3 are indicators of classification confidence.  For a fuller description please refer to the product documentation.

LCM2019 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2019.  These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2019. LCM2019 was simultaneously released with LCM2017 and LCM2018.  These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Northern Ireland (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015.

This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.
description: The 25m Rasterised Land Parcels datasets of the LCM2017, LCM2018 and LCM2019 product range were derived by rasterising the corresponding Land Parcels datasets. They give land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. They are provided as 3-band 8-bit integer 25m pixel rasters. Band-1 is the modal land cover from the Land Parcels dataset, band-2 and band-3 are indicators of classification confidence. The Land Parcels datasets are maintained in a PostGIS database. Gdal tools were used to rasterise the land parcels, giving the 25m Rasterised Landparcels dataset in GeoTiff format. GeoTiff is open standard format for raster data and GeoTiff files can be read by most GIS software.
DOI: 10.5285/711c8dc1-0f4e-42ad-a703-8b5d19c92247
title: Land Cover Map 2015 (1km dominant aggregate class, GB)

description: This dataset consists of the 1km raster, dominant aggregate class version of the Land Cover Map 2015 (LCM2015) for Great Britain.  The 1km dominant coverage product is based on the 1km percentage product and reports the aggregated habitat class with the highest percentage cover for each 1km pixel.  The 10 aggregate classes are groupings of 21 target classes, which are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats.  The aggregate classes group some of the more specialised classes into more general categories. For example, the five coastal classes in the target class are grouped into a single aggregate coastal class.   This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. LCM2015 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes.

LCM2015 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the CEH web site and the LCM2015 Dataset documentation) to select the product most suited to their needs.

LCM2015 was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. It is one of a series of land cover maps, produced by UKCEH since 1990.  They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019.
description: The 1km dominant cover aggregate class is produced from the 1km percentage cover aggregate class product. The 1km percentage cover data is used to identify the highest percentage cover across the 10 bands and a script is used to identify with which band the maximum value coincides.
DOI: 10.5285/8b37b063-b5fe-42cc-ab2d-bf96626da036
title: Land Cover Map 2017 (25m rasterised land parcels, N. Ireland)

description: This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Northern Ireland. It describes Northern Ireland's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  This dataset was derived by rasterising the corresponding LCM2017 land parcels dataset into 25m pixels.  It is provided as a 3-band, 8-bit integer raster.  The first band is the UKCEH Land Cover Class identifier.  Bands 2 and 3 are indicators  of classification confidence.  For a fuller description please refer to the product documentation.

LCM2017 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2017.  These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2017. LCM2017 was simultaneously released with LCM2018 and LCM2019.  These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Northern Ireland (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015.

This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.
description: The 25m Rasterised Land Parcels datasets of the LCM2017, LCM2018 and LCM2019 product range were derived by rasterising the corresponding Land Parcels datasets. They give land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. They are provided as 3-band 8-bit integer 25m pixel rasters. Band-1 is the modal land cover from the Land Parcels dataset, band-2 and band-3 are indicators of classification confidence. The Land Parcels datasets are maintained in a PostGIS database. Gdal tools were used to rasterise the land parcels, giving the 25m Rasterised Landparcels dataset in GeoTiff format. GeoTiff is open standard format for raster data and GeoTiff files can be read by most GIS software.
DOI: 10.15468/dl.258jh7
title: Occurrence Download

description: A dataset containing 2325 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Jasminum nervosum"
 ]
}

 The dataset includes 2325 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026106-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sr5eqf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rattus norvegicus",
 "Country is Jordan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026107-250717081556266/datasets/export for details.
DOI: 10.48610/4d419bf
title: Clinical case series raw data

description: This dataset contains the de-identified raw data from the clinical case series described above. The "Implementation fidelity" spreadsheet contains researcher's ratings of whether or not content items were completed in each Resilience Triple P session delivered. The "Program adherence" spreadsheet has a record of the number of Resilience Triple P sessions each family attended, including how many of these were delivered as catch-up sessions. The "Satisfaction ratings" spreadsheet has the parents' responses on the Theoretical Framework of Acceptability (TFA) questionnaire and children's helpfulness ratings of the program. Finally, the "Clinical outcomes" spreadsheet has the participants' responses on the Bullying Survey for ASD, Revised Children’s Anxiety and Depression Scale (RCADS), Preschool Feelings Checklist (PFC), Nisonger Child Behavior Rating Form (NCBRF), School Non-Attendance Checklist (SNACK), Emotion Regulation and Social Skills Questionnaire (ERSSQ), Preschool Social Behaviour Scale (PSBS-TF), Facilitative Parenting Scale, Parenting Self-Regulation Scales (PSRS), as well as the presence of any contextual changes over the 6-month monitoring period.
DOI: 10.15468/dl.ugbt6b
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rattus norvegicus",
 "Country is Latvia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026108-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hrzfwp
title: Occurrence Download

description: A dataset containing 37437342 species occurrences available in GBIF matching the query:
{
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 37437342 records from 4976 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025950-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0165145.10fu
title: SH0165145.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0165146.10fu
title: SH0165146.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.82136/dataset/08de4f6f-11c0-458f-8636-170426c1bafa
title: Accelup usage data

description: All the projects posted in Accelup platform throughout 2025
DOI: 10.15156/bio/sh0165147.10fu
title: SH0165147.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0165148.10fu
title: SH0165148.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0165149.10fu
title: SH0165149.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0165150.10fu
title: SH0165150.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0165151.10fu
title: SH0165151.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.