cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/6e67cba0-c872-4146-bc09-d6c98731f3b3
title: Land Cover Map 2019 (land parcels, N. Ireland)

description: This is the land parcels (polygon) 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 from the corresponding LCM2019 20m classified pixels dataset. All further LCM2019 datasets for Northern Ireland are derived from this land parcel product. A range of land parcel attributes are provided. These include the dominant UKCEH Land Cover Class given as an integer value and a range of per-parcel pixel statistics to help assess classification confidence and accuracy; for a full explanation please refer to the dataset 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 Great Britain (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 Land Parcels datasets of the LCM2017, LCM2018 and LCM2019 product range were derived from the corresponding 20m Classified Pixels datasets. They give per-parcel land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. A UK spatial framework of land parcels (vector-polygons) representing real-world objects (for example: fields, lakes, urban areas and so forth) was intersected with the 20m Classified Pixels to generate per-parcel pixel statistics. These include a histogram recording pixel frequency per land cover class, the modal land cover class, the total number of pixels and three attribute indicators of classification confidence. Land parcel classification results were validated against independently collected ground observations. All calculations were performed within a PosGIS database. Results were extracted from PostGIS using the QGIS export facility to give the final product as a SpatiaLite vector geodatabse. SpatiaLite is an open standard file format for geospatial vector databases and SpatiLite files can be read by most GIS software.
DOI: 10.5285/9f7f7f70-5137-4bfc-a6a3-f91783d5a6a6
title: Land Cover Map 2018 (land parcels, GB)

description: This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Great Britain. It describes Great Britain's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived from the corresponding LCM2018 20m classified pixels dataset. All further LCM2018 datasets for Great Britain are derived from this land parcel product. A range of land parcel attributes are provided. These include the dominant UKCEH Land Cover Class given as an integer value, and a range of per-parcel pixel statistics to help to assess classification confidence and accuracy; for a full explanation please refer to the dataset documentation.
LCM2018 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2018. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2018. LCM2018 was simultaneously released with LCM2017 and LCM2019. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (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 Land Parcels datasets of the LCM2017, LCM2018 and LCM2019 product range were derived from the corresponding 20m Classified Pixels datasets. They give per-parcel land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. A UK spatial framework of land parcels (vector-polygons) representing real-world objects (for example: fields, lakes, urban areas and so forth) was intersected with the 20m Classified Pixels to generate per-parcel pixel statistics. These include a histogram recording pixel frequency per land cover class, the modal land cover class, the total number of pixels and three attribute indicators of classification confidence. Land parcel classification results were validated against independently collected ground observations. All calculations were performed within a PosGIS database. Results were extracted from PostGIS using the QGIS export facility to give the final product as a SpatiaLite vector geodatabse. SpatiaLite is an open standard file format for geospatial vector databases and SpatiLite files can be read by most GIS software.
DOI: 10.5285/35f15502-d340-4ab5-a586-abd42f238b6e
title: Land Cover Map 2018 (land parcels, N. Ireland)

description: This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Northern Ireland. It describes Northern Ireland's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived from the corresponding LCM2018 20m classified pixels dataset. All further LCM2018 datasets for Northern Ireland are derived from this land parcel product. A range of land parcel attributes are provided. These include the dominant UKCEH Land Cover Class given as an integer value, and a range of per-parcel pixel statistics to help to assess classification confidence and accuracy; for a full explanation please refer to the dataset documentation.
LCM2018 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2018. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2018. LCM2018 was simultaneously released with LCM2017 and LCM2019. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (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 Land Parcels datasets of the LCM2017, LCM2018 and LCM2019 product range were derived from the corresponding 20m Classified Pixels datasets. They give per-parcel land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. A UK spatial framework of land parcels (vector-polygons) representing real-world objects (for example: fields, lakes, urban areas and so forth) was intersected with the 20m Classified Pixels to generate per-parcel pixel statistics. These include a histogram recording pixel frequency per land cover class, the modal land cover class, the total number of pixels and three attribute indicators of classification confidence. Land parcel classification results were validated against independently collected ground observations. All calculations were performed within a PosGIS database. Results were extracted from PostGIS using the QGIS export facility to give the final product as a SpatiaLite vector geodatabase. SpatiaLite is an open standard file format for geospatial vector databases and SpatiaLite files can be read by most GIS software.
DOI: 10.15468/dl.pnxaj2
title: Occurrence Download

description: A dataset containing 618727 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 618727 records from 369 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020466-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3cf7gm
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Collyria coxator (Villers, 1789)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 102 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020482-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/d6a3588b-23a8-4715-88e9-e21ab0060727
title: Land Cover Map 1990 (vector, N. Ireland)

description: This dataset consists of the vector version of the Land Cover Map 1990 (LCM1990) for Northern Ireland. The vector data set is the core LCM data set from which the full range of other LCM1990 products is derived. It provides a number of attributes including land cover at the target class level (given as an integer value and also as text), the number of pixels within the polygon classified as each land cover type and a probability value provided by the classification algorithm (for full details see the LCM1990 Dataset Documentation). The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats.
LCM1990 is a land cover map of the UK which was produced at the UK 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 UK CEH 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: For LCM1990, per-pixel classifications were conducted, using a random forest classification algorithm to classify the different land cover types. 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 classification product is the majority class per polygon i.e. the dominant class for each polygon.
LCM1990 uses a spatial framework that is similar to the LCM2007 framework. For both LCM2007, LCM2015 and LCM1990 the framework is based on generalised OS Northern Ireland data. The generalisation (or simplification) process was used to remove very small objects, which provided unnecessary detail. In LCM2007 larger polygons were split using image segmentation; however this was not done for LCM2015 or LCM1990.
DOI: 10.15468/dl.gtckuf
title: Occurrence Download

description: A dataset containing 1529 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "OccurrenceStatus is Present",
 "TaxonKey is Geoffroea decorticans (Gillies ex Hook. & Arn.) Burkart"
 ]
}

 The dataset includes 1529 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020483-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/44c23778-4a73-4a8f-875f-89b23b91ecf8
title: Land Cover Map 2019 (land parcels, GB)

description: This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2019 (LCM2019) representing Great Britain. It describes Great Britain's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived from the corresponding LCM2019 20m classified pixels dataset. All further LCM2019 datasets for Great Britain are derived from this land parcel product. A range of land parcel attributes are provided. These include the dominant UKCEH Land Cover Class given as an integer value, and a range of per-parcel pixel statistics to help to assess classification confidence and accuracy; for a full explanation please refer to the dataset 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 Great Britain (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 Land Parcels datasets of the LCM2017, LCM2018 and LCM2019 product range were derived from the corresponding 20m Classified Pixels datasets. They give per-parcel land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. A UK spatial framework of land parcels (vector-polygons) representing real-world objects (for example: fields, lakes, urban areas and so forth) was intersected with the 20m Classified Pixels to generate per-parcel pixel statistics. These include a histogram recording pixel frequency per land cover class, the modal land cover class, the total number of pixels and three attribute indicators of classification confidence. Land parcel classification results were validated against independently collected ground observations. All calculations were performed within a PosGIS database. Results were extracted from PostGIS using the QGIS export facility to give the final product as a SpatiaLite vector geodatabse. SpatiaLite is an open standard file format for geospatial vector databases and SpatiLite files can be read by most GIS software.
DOI: 10.5285/4e3fe599-1ae9-4dbb-9476-bfc74fe90b4e
title: Land Cover Map 1990 (1km dominant target class, GB)

description: The Land Cover Map of Great Britain 1990 (1km dominant target class, GB), is a raster digital dataset, providing classification of land cover types into 25 classes, at a 1km resolution. The dataset consists of a 1km grid with a full set of the 25 target classes (or 'sub' classes). Each 1km contains the dominant habitat class, derived from a higher resolution (25m) dataset. The map was produced using supervised maximum likelihood classifications of Landsat 5 Thematic Mapper satellite data. The 25 mapped classes include sea and inland waters, bare, suburban and urban areas, arable farmland, pastures and meadows, rough grass, grass heaths and moors, bracken, dwarf shrub heaths and moorland, scrub, deciduous and evergreen woodland, and upland and lowland bogs. It can potentially be used to plan, manage or monitor agriculture, ecology, conservation, forestry, environmental assessment, water supplies, urban spread, transport, telecommunications, recreation and mineral extraction. The map was produced in the early 1990s by a forerunner of the Centre for Ecology & Hydrology, the Institute of Terrestrial Ecology, at Monks Wood.
description: The Land Cover Map of Great Britain (LCMGB) was produced (at the Institute of Terrestrial Ecology (ITE) Monks Wood) using supervised maximum likelihood classifications of Landsat Thematic Mapper satellite data See online supporting information for further details.
DOI: 10.5285/b77ce981-d038-4774-a620-f50da5dd3d31
title: Land Cover Map 2017 (land parcels, GB)

description: This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Great Britain. It describes Great Britain's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived from the corresponding LCM2017 20m classified pixels dataset. All further LCM2017 datasets for Great Britain are derived from this land parcel product. A range of land parcel attributes are provided. These include the dominant UKCEH Land Cover Class given as an integer value, and a range of per-parcel pixel statistics to help assessing classification confidence and accuracy; for a full explanation please refer to the dataset documentation.
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 Land Parcels datasets of the LCM2017, LCM2018 and LCM2019 product range were derived from the corresponding 20m Classified Pixels datasets. They give per-parcel land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. A UK spatial framework of land parcels (vector-polygons) representing real-world objects (for example: fields, lakes, urban areas and so forth) was intersected with the 20m Classified Pixels to generate per-parcel pixel statistics. These include a histogram recording pixel frequency per land cover class, the modal land cover class, the total number of pixels and three attribute indicators of classification confidence. Land parcel classification results were validated against independently collected ground observations. All calculations were performed within a PosGIS database. Results were extracted from PostGIS using the QGIS export facility to give the final product as a SpatiaLite vector geodatabse. SpatiaLite is an open standard file format for geospatial vector databases and SpatiLite files can be read by most GIS software.
DOI: 10.5285/abe1f414-6168-4e04-9dc9-4a658a3136ca
title: Land Cover Map 2021 (land parcels, N. Ireland)

description: This is a vector data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel datasets with the UKCEH Land Parcel Spatial Framework to generate summary land parcel attributes for each land cover parcel. A full description of this and all UKCEH LCM2021 products are available from the LCM2021 product documentation accompanying this dataset.
description: UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2018 to 2020. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.
Land cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2021 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation accompanying this data.
DOI: 10.13145/bacdive113374.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113375.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113375.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0105037.10fu
title: SH0105037.10FU

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: 10.15468/d2nup8
title: KNFY - Klamath National Forest Herbarium

description: The Klamath National Forest encompasses nearly 1.7 million acres of land straddling the California and Oregon border in the Klamath-Siskiyou Mountain Ranges. In the mountains to the west, the terrain is steep and rugged, while the east-side has gentler, rolling terrain of volcanic origin, sprinkled with buttes and valleys. Elevations range from 450 to 9,001 feet above sea level at Thompson Peak, on the Siskiyou-Trinity County divide. The Klamath National Forest is one of America&rsquo;s most biologically diverse regions, due to the blending of four floristic provinces and boasts a center of coniferous diversity (19 species) in the Russian Wilderness. The Klamath National Forest Herbarium aims to preserve and record the many rare and endemic species unique to the region.
DOI: 10.13145/bacdive113376.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113376.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0105038.10fu
title: SH0105038.10FU

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.