cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0104854.10fu
title: SH0104854.10FU

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: 10.13145/bacdive113187.20241212.9.2
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/bacdive113187.20251217.10
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/sh0104855.10fu
title: SH0104855.10FU

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: 10.13145/bacdive113188.20241212.9.2
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/bacdive113188.20251217.10
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/sh0104856.10fu
title: SH0104856.10FU

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: 10.13145/bacdive113189.20241212.9.2
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/bacdive113189.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.48331/scielodata.5d4plu/s486bi
title: Tabelas por Defecho.tab

description: Resultados Gerais dos Estudos
DOI: 10.13145/bacdive113190.20241212.9.2
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/bacdive113190.20251217.10
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/sh0104857.10fu
title: SH0104857.10FU

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: 10.13145/bacdive113191.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0104858.10fu
title: SH0104858.10FU

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: 10.48331/scielodata.5d4plu/m2i1wl
title: Readme_2025-12-03.pdf

description: README
DOI: 10.6084/m9.figshare.24271471.v1
title: English derived word recognition by Chinese‐English bilinguals: Testing the nature and time course of the component processes

description: Research utilizing morphological priming has found that L2 speakers show facilitation from derived L2 primes, which could suggest morphological processing during derived L2 word recognition. However, the process of L2 derived word recognition is still poorly understood, with some arguing that the observed priming effects may not be morphological in nature. The present study is a partial replication of Rastle et al. and its extension to L2 English processing. Its purpose is to contribute to our understanding of the nature and time course of L2 derived word recognition. Following Rastle et al., I employed visual priming methodology to explore the activation of morphological, pseudomorphological, orthographic, and semantic processes during a later, central-lexical stage of L2 English derived word recognition by Mandarin Chinese-English bilinguals. The results replicated Rastle et al.’s findings with L1 English speakers. The L2 speakers exhibited morphological effects distinguishable from effects of form overlap, suggesting that surface form overlap cannot explain L2 facilitation from derived primes. These same L2 speakers further showed pseudomorphological facilitation distinguishable from surface form effects, indicative of the operation of a purely morpho-orthographic process at the later stage of L2 English word recognition and further suggesting L2 sensitivity to morphemic structure that cannot be explained by semantic effects. Results further showed a similar graded pattern of activation of morphological, pseudomorphological, and form mechanisms in L2 and L1 speakers of English that appears to be temporally shifted between the two speaker populations. Implications for L2 word recognition theory are discussed.
DOI: 10.15468/dl.wf293t
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation)",
 "Country is China",
 "GadmGid is one of (CHN.16.5.11_1, CHN.16.5.10_1, CHN.16.5.8_1, CHN.16.5.7_1, CHN.16.6.6_1, CHN.16.6.1_1, CHN.16.10.9_1, CHN.16.10.4_1, CHN.16.10.2_1, CHN.16.10.3_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Spilornis cheela (Latham, 1790)",
 "Year 2004-2025"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020186-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.24271471
title: English derived word recognition by Chinese‐English bilinguals: Testing the nature and time course of the component processes

description: Research utilizing morphological priming has found that L2 speakers show facilitation from derived L2 primes, which could suggest morphological processing during derived L2 word recognition. However, the process of L2 derived word recognition is still poorly understood, with some arguing that the observed priming effects may not be morphological in nature. The present study is a partial replication of Rastle et al. and its extension to L2 English processing. Its purpose is to contribute to our understanding of the nature and time course of L2 derived word recognition. Following Rastle et al., I employed visual priming methodology to explore the activation of morphological, pseudomorphological, orthographic, and semantic processes during a later, central-lexical stage of L2 English derived word recognition by Mandarin Chinese-English bilinguals. The results replicated Rastle et al.’s findings with L1 English speakers. The L2 speakers exhibited morphological effects distinguishable from effects of form overlap, suggesting that surface form overlap cannot explain L2 facilitation from derived primes. These same L2 speakers further showed pseudomorphological facilitation distinguishable from surface form effects, indicative of the operation of a purely morpho-orthographic process at the later stage of L2 English word recognition and further suggesting L2 sensitivity to morphemic structure that cannot be explained by semantic effects. Results further showed a similar graded pattern of activation of morphological, pseudomorphological, and form mechanisms in L2 and L1 speakers of English that appears to be temporally shifted between the two speaker populations. Implications for L2 word recognition theory are discussed.
DOI: 10.5285/3f3fa303-d019-4b28-ad79-9a45f8ee04d0
title: Land Cover Map 2007 (1km percentage aggregate class, GB)

description: Land Cover Map 2007 (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. It also covers Northern Ireland and incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible, incorporating land cover classes sought by other users. LCM2007 is produced in both vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. This dataset consists of the 1km raster, percentage Aggregate Class. Great Britain only.
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.
DOI: 10.15468/dl.m7d3dx
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation)",
 "Country is China",
 "GadmGid is one of (CHN.16.5.11_1, CHN.16.5.10_1, CHN.16.5.8_1, CHN.16.5.7_1, CHN.16.6.6_1, CHN.16.6.1_1, CHN.16.10.9_1, CHN.16.10.4_1, CHN.16.10.2_1, CHN.16.10.3_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Nisaetus nipalensis Hodgson, 1836",
 "Year 2004-2025"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020188-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sbs5ax
title: Occurrence Download

description: A dataset containing 416 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cimicifuga europaea Schipcz."
 ]
}

 The dataset includes 416 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020189-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/d38b609b-7bc1-4204-86dd-022375208d4f
title: The Isle of May long-term study (IMLOTS) seabird annual breeding success 1982-2012

description: This dataset contains calculated breeding success rates for six seabird species from representative colonies on the Isle of May, off the East coast of Scotland. Annual breeding success has been measured as the number of chicks fledged per active nest for the Atlantic puffin (Fratercula arctica, since 1982), common guillemot (Uria aalge, since 1982), razorbill (Alca torda, since 1982), European shag (Phalacrocorax aristotelis, since 1987), black-legged kittiwake (Rissa tridactyla, since 1987) and northern fulmar (Fulmarus glacialis, since 1987). The number of active nests recorded are also provided. Data were collected as part of the Isle of May long-term study (IMLOTS), which aims to identify the impact of environmental change on seabirds and their associated ecosystems. This monitoring has been ongoing since 1974, by essentially the same team of scientists, using the same well-documented methods throughout this time.
description: Data were collected by staff of the Institute for Terrestrial Ecology staff, led by Mike Harris, until 2000, when this organisation merged with several others to form the Centre for Ecology & Hydrology (CEH). The same research group has continued the work since then. For each species data were collected on numbers of active nests and numbers of succesfully fledged chicks from those nests. The data provided are the success rates for each species for each year, which are calculated as number of successful chicks divided by the number of breeding pairs. The full methodology is available in the contextual metadata, which can be found attached to this record. These data are quality checked by scientific staff as part of their preparation for presentation in annual reports to the Joint Nature Conservation Committee (JNCC), as part of the UK national Seabird Monitoring Programme network. These data should be used after consultation with the appropriate CEH staff.
DOI: 10.5285/1d78e01a-a9c1-4371-8482-1c1b57d9661f
title: Land Cover Map 2007 (vector, GB)

description: 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. It also covers Northern Ireland and 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, incorporating land cover classes sought by other users. LCM2007 is produced in both vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. This dataset consists of the vector product, containing each individual parcel, as classified. (Great Britain only).
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.
DOI: 10.5281/zenodo.15063450
title: Job Shop Scheduling Problem Benchmark Instances

description: This project contains all Job Shop Scheduling Problem (JSP) benchmark instances from jobshop.jjvh.nl and some utility functions to work with JSP instances.The project contains a parser to read the instances in the .txt files with JPS instances in taillard and standard format.For more info about the formatting see: jobshop.jjvh.nlThe benchmark instances can be imported as numpy arrays.
DOI: 10.5281/zenodo.15063451
title: Job Shop Scheduling Problem Benchmark Instances

description: This project contains all Job Shop Scheduling Problem (JSP) benchmark instances from jobshop.jjvh.nl and some utility functions to work with JSP instances.The project contains a parser to read the instances in the .txt files with JPS instances in taillard and standard format.For more info about the formatting see: jobshop.jjvh.nlThe benchmark instances can be imported as numpy arrays.
DOI: 10.15468/dl.4mshnz
title: Occurrence Download

description: A dataset containing 17238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Andrena wilkella (Kirby, 1802)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17238 records from 202 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020187-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jugdnu
title: Occurrence Download

description: A dataset containing 296428 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygonatum multiflorum (L.) All."
 ]
}

 The dataset includes 296428 records from 1677 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020170-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9g7i6x
title: Occurrence Download

description: A dataset containing 836552 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "HasCoordinate is true",
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 836552 records from 162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005818-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hlvzk2
title: Occurrence Download

description: A dataset containing 1114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-127.01289 16.30761,-80.98711 16.30761,-80.98711 34.69239,-127.01289 34.69239,-127.01289 16.30761))",
 "HasCoordinate is true",
 "TaxonKey is Sceloporus minor Cope, 1885",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1114 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005978-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111132593
title: Vision of Gabriel

description: [Text Description:] Apocalyptic text written by someone named Gabriel ❧ [Medium:] Stone ❧ [Script Note:] Jewish ❧ [Physical Object Description:] Sandstone inscription, 96 x 37 cm. The stone is broken into serveral pieces: one large piece, making up 2/3 of the stone; a smaller piece, making up approximately 1/3 of the stone, with several smaller pieces in between. ❧ [Physical Object Note:] The text consists of 87 lines in two columns. The lines are ruled, and the columns double-ruled. ❧ [Physical Object Note:] Several areas show evidence of erasure and redrawn lines; on the left of the stone some of the rule lines seem to have been redrawn without a straight edge.
DOI: 10.15468/dl.mw2r4n
title: Occurrence Download

description: A dataset containing 1360 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lycopersicon esculentum Mill."
 ]
}

 The dataset includes 1360 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039550-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111132723
title: Vision of Gabriel

description: [Text Description:] Apocalyptic text written by someone named Gabriel ❧ [Medium:] Stone ❧ [Script Note:] Jewish ❧ [Physical Object Description:] Sandstone inscription, 96 x 37 cm. The stone is broken into serveral pieces: one large piece, making up 2/3 of the stone; a smaller piece, making up approximately 1/3 of the stone, with several smaller pieces in between. ❧ [Physical Object Note:] The text consists of 87 lines in two columns. The lines are ruled, and the columns double-ruled. ❧ [Physical Object Note:] Several areas show evidence of erasure and redrawn lines; on the left of the stone some of the rule lines seem to have been redrawn without a straight edge.