cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/hhc-5vh-e3k
title: Torilis arvensis subsp. arvensis

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/3ps-ck5-89w
title: Torilis arvensis subsp. arvensis

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/z17-an9-m3x
title: Torilis arvensis subsp. arvensis

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/rsx-0xh-tmr
title: Thymus longicaulis C.Presl

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/txv-glf-0q8
title: Torilis arvensis subsp. arvensis

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/4m0-pzb-x4l
title: Torilis leptophylla (L.) Rchb. fil.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/jk8-j6l-s6f
title: Tolpis barbata (L.) Gaertn.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/b07-0la-e32
title: Tordylium apulum L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/9he-wp7-180
title: Tordylium apulum L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/j76-z4v-svl
title: Torilis leptophylla (L.) Rchb. fil.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/f5n-yyz-81t
title: Tordylium apulum L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/h0m-p5h-83s
title: Tordylium officinale L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/d6r-dr3-m69
title: Tordylium apulum L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/3sm-cwz-08b
title: Tordylium officinale L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/pas-wxv-c0s
title: Tordylium officinale L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/a8b-r6j-wf8
title: Tordylium officinale L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/szr-h4n-vgk
title: Tordylium officinale L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/afv-nvs-h1j
title: Tordylium officinale L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/bl5-85s-1th
title: Tordylium officinale L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/39k-kkd-f58
title: Tordylium officinale L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/b5t-xd4-479
title: Tordylium officinale L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.uy9vhq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ctenopharyngodon idella (Valenciennes, 1844)",
 "Country is Bolivia (Plurinational State of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111665-250525065834625/datasets/export for details.
DOI: 10.3535/2vh-dsq-rse
title: Thesium bavarum Schrank

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/p24-b0a-1kt
title: Thesium bavarum Schrank

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/znx-87t-6g1
title: Thesium bavarum Schrank

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/557-cht-t5y
title: Tordylium officinale L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/pvr-ate-zy7
title: Tordylium officinale L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.efteb6
title: Occurrence Download

description: A dataset containing 2161169 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Capreolus capreolus (Linnaeus, 1758))",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 2161169 records from 4030 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111644-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112044343
title: Cuneiform Tablet 1913.14.0147, Spurlock 1913.14.0147

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.0147; CDLI P420528 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Pale Orange Yellow (10YR 8/2.5) ❧ [Physical Object Note:] 6.6 x 4.7 x 2.6 cm (93g) ❧ [Physical Object Note:] Seal impressions
DOI: 10.15468/dl.zh66p3
title: Occurrence Download

description: A dataset containing 7051 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-11 36,2 36,2 61,-11 61,-11 36))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ostrea edulis Linnaeus, 1758",
 "Year 2000-2023"
 ]
}

 The dataset includes 7051 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0290420-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2xp8vr
title: Occurrence Download

description: A dataset containing 92150 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erysimum cheiranthoides L."
 ]
}

 The dataset includes 92150 records from 573 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0304104-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112044414
title: Cuneiform Tablet 1913.14.0147, Spurlock 1913.14.0147

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.0147; CDLI P420528 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Pale Orange Yellow (10YR 8/2.5) ❧ [Physical Object Note:] 6.6 x 4.7 x 2.6 cm (93g) ❧ [Physical Object Note:] Seal impressions
DOI: 10.15468/dl.n6kqfz
title: Occurrence Download

description: A dataset containing 2670038 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Occurrence evidence, Living Specimen, Specimen, Material citation, Material sample, Human Observation)",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Luzula pilosa (L.) Willd., Lysimachia europaea (L.) U.Manns & Anderb., Maianthemum bifolium (L.) F.W.Schmidt, Melampyrum pratense L., Melampyrum sylvaticum L., Melica nutans L., Orthilia secunda (L.) House, Oxalis acetosella L., Potentilla erecta (L.) Mela, Pteridium aquilinum (L.) Kuhn, Rhododendron tomentosum (Stokes) Harmaja, Rubus chamaemorus L., Rubus idaeus L.)"
 ]
}

 The dataset includes 2670038 records from 2030 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0290409-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qym7sc
title: Occurrence Download

description: A dataset containing 1127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Living Specimen)",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nototodarus sloanii",
 "Year 2010-2025"
 ]
}

 The dataset includes 1127 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000430-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17304952
title: DATASET "Production of Poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV) by Haloferax mediterranei Using Candy Industry Waste as Raw Materials"
DOI: 10.15156/bio/sh0162615.10fu
title: SH0162615.10FU

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: 10.5285/1278d7b5-da47-46b5-b1a6-049e726425a7
title: Land Cover Map 1990 (1km percentage aggregate class, N. Ireland)

description: This dataset consists of the 1km raster, percentage aggregate class version of the Land Cover Map 1990 (LCM1990) for Northern Ireland. The 1km percentage product provides the percentage cover for each of 10 aggregated land cover classes for 1km x 1km pixels. This product contains one band per aggregated habitat class (producing a 10 band image). The 10 aggregate classes are groupings of the 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. 

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: The percentage aggregate class is produced from the 25m raster product (which is derived from the vector product) by:
1. Using gdal_calc to aggregate the 23 target classes into the 10 aggregate classes saving them as 10 individual images (one for each class) where the presence of the class in question is recorded as 100 and absence is assigned 0.
2. Gdal_warp is then applied to each of the 10 presence/absence images to resample to 1km, using the 'average' option under resample. This produces images of percentage cover for each class.
3. Gdal_merge is then used to create a single file with 10 bands, where each band provides the percentage cover for the class i.e. band 1 provides percentage cover for class 1 etc.
DOI: 10.5285/d6f8c045-521b-476e-b0d6-b3b97715c138
title: Land Cover Map 2020 (1km summary rasters, GB and N. Ireland)

description: This 1 km summary pixel data set represents the land surface of Great Britain and Northern Ireland, classified using two classification schemas: target and aggregate classes. 

The target class schema comprise 21 UKCEH land cover classes based upon Biodiversity Action Plan broad habitats. The aggregate class schema comprises 10 aggregate classes that are groupings of the 21 target classes. The aggregate classes group some of the more specialised target classes into more general classes. For example, the five coastal classes in the target class are grouped into a single aggregate class.

The 1km percentage products describe percentage cover for each of the 21 land cover classes for 1km x 1km pixels. These contain one band per habitat class, producing 21 images for the target class product and 10 images for the aggregate class product. 

The 1km dominant coverage products are based on the 1km percentage products, and describe the land cover class with the highest percentage cover for each 1km pixel.

A full description of these and all UKCEH LCM2020 products are available from the LCM2020 product documentation which accompanies the data.
description: UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. 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 LCM2020 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.

The 1 km percentage and dominant products are created by calculating the percentage cover for each land cover classes for every 1km x 1km pixel, then reporting the dominant land cover class with the highest percentage cover for each 1km pixel.
DOI: 10.5285/c3723adb-1a8c-4b57-958b-1d610d2c37fe
title: Land Cover Map 2007 (1km dominant aggregate class, GB) v1.2

description: This dataset consists of a 1km resolution raster version of the Land Cover Map 2007 for Great Britain. Each 1km pixel represents the dominant aggregate class across the 1km area. The aggregate classes are aggregations of the target classes, broadly representing Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2007. LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2007 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.
description: LCM2007 uses a spatial framework based on OS MasterMap (R). MasterMap was generalised to remove unnecessary detail, then the framework was segmented according to the underlying satellite data to split areas of non-uniform landscape. The data was classified according to a parcel-based supervised maximum likelihood classification procedure. The raster products are derived from the vector products. Version 1.2 includes OS tiles NW and HZ, and also a water class. Refer to supporting documentation for further information.
DOI: 10.5285/c9449bf5-b8f6-4a1c-b3eb-0d70575cba39
title: Land Cover Map 2022 (25m rasterised land parcels, GB)

description: This is a 25m pixel data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a three-band raster in GeoTiff format, produced by rasterising three properties of the classified land parcels dataset. The first band gives the most likely land cover type; the second band gives the per-parcel probability of the land cover, the third band is a measure of parcel purity. The probability and purity bands (scaled 0 to 100) combine to give an indication of uncertainty.  A full description of this and all UKCEH LCM2022 products are available from the LCM2022 product documentation.
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 2019 to 2021. 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 LCM2022 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.

The 25 m rasterised land parcels product is created by pixelating the corresponding land parcel product.
DOI: 10.15156/bio/sh0162616.10fu
title: SH0162616.10FU

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/b8b8a266-9162-40d8-98a6-f44178d31543
title: Land Cover Map 2000 (1km dominant aggregate class, GB)

description: This dataset consists of a 1km resolution raster version of the Land Cover Map 2000 for Great Britain. Each 1km pixel represents the dominant aggregate class across the 1km area. The aggregate classes are aggregations of the target classes, broadly representing Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2000. LCM2000 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB). Like the earlier 1990 products, LCM2000 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2000 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2000 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.
description: In a major development of the 1990 methods, LCM2000 used image segmentation to identify land parcels in the pixel-based images. An automated procedure grouped the image pixels into spectrally 'uniform' segments. These were built around 'seedpoints' selected to avoid parcel boundaries. The segmentation recorded a field-by-field pattern, also separating land use zones within urban and suburban areas, and subdividing mosaics of semi-natural vegetation. Generalisation gave minimum mappable units of a half hectare. A 'vector' version was then created in the geographical information system (GIS), where the boundaries between the pixel-based segments were represented by digital linework. The resultant land parcels were treated as GIS objects to which attribute data could then be attached covering such topics as land cover class, parcel area, length of boundary, processing history, knowledge-based correction and identification of the original satellite scene. The raster products have been derived from the vector dataset. LCM2000 was produced at CEH Monks Wood. For further information on the methodology developed and used to create Land Cover Map 2000, see the on-line supporting information.