cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0161441.10fu
title: SH0161441.10FU

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/dl.4z5u6n
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptanthura boweni Poore, 1981"
 ]
}

 The dataset includes 82 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122585-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wb3bqd
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Manfreda jaliscana Rose"
 ]
}

 The dataset includes 96 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123597-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.63brt4
title: Occurrence Download

description: A dataset containing 4841 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Country is one of (United States of America, Mexico, Canada)",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Sebastes caurinus Richardson, 1844"
 ]
}

 The dataset includes 4841 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047974-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.evybmz
title: Occurrence Download

description: A dataset containing 656 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Feresa attenuata Gray, 1874"
 ]
}

 The dataset includes 656 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138831-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.98cd3q
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lucicutia aurita Cleve, 1904"
 ]
}

 The dataset includes 22 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123607-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9w656e
title: Occurrence Download

description: A dataset containing 428533 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Astragalus L."
 ]
}

 The dataset includes 428533 records from 1277 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047993-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ejrqw
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptanthura calcis Kensley & Schotte, 2000"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122586-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9cbxys
title: Occurrence Download

description: A dataset containing 12337 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Country is one of (United States of America, Mexico, Canada)",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Oporornis agilis (A.Wilson, 1812)"
 ]
}

 The dataset includes 12337 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048034-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xfnd8s
title: Occurrence Download

description: A dataset containing 7892 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lucicutia flavicornis (Claus, 1863)"
 ]
}

 The dataset includes 7892 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123613-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.73tjpb
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptanthura glacialis Hodgson, 1910"
 ]
}

 The dataset includes 34 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122591-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hjdzwt
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lucicutia bicornuta Wolfenden, 1905"
 ]
}

 The dataset includes 21 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123609-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2c6k28
title: Occurrence Download

description: A dataset containing 564 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Herbarium of Namur",
 "Country is Andorra"
 ]
}

 The dataset includes 564 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022696-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rur2nw
title: Occurrence Download

description: A dataset containing 2422 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Culex annulirostris Skuse, 1889"
 ]
}

 The dataset includes 2422 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123598-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ag2g2k
title: Occurrence Download

description: A dataset containing 162 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptanthura laevigata (Stimpson, 1855)"
 ]
}

 The dataset includes 162 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122592-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ww3zeh
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Craibiodendron scleranthum var. kwangtungense (S.Y.Hu) Judd"
 ]
}

 The dataset includes 66 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0240229-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cna4gu
title: Occurrence Download

description: A dataset containing 224 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Linepithema micans (Forel)"
 ]
}

 The dataset includes 224 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0258132-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/30903
title: Chandra X-ray Observatory ObsId 30903

description: Beyond the GRB jet: searching for the remnant of a neutron star merger
DOI: 10.15156/bio/sh0164306.10fu
title: SH0164306.10FU

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/sh0164307.10fu
title: SH0164307.10FU

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/sh0164308.10fu
title: SH0164308.10FU

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/sh0164309.10fu
title: SH0164309.10FU

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/sh0164310.10fu
title: SH0164310.10FU

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/sh0164311.10fu
title: SH0164311.10FU

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: 10.17028/rd.lboro.31035328
title: Supplementary information files for "Mapping the surface electronic landscape of solution processed CuIn(S,Se)2 thin-films as a function of the Cu/In ratio"

description: Supplementary files for article "Mapping the surface electronic landscape of solution-processed CuIn(S,Se)2 thin-films as a function of the Cu/In ratio"<br><br>This study explores the influence of the Cu/In ratio, ranging from 0.80 to 1.10, on the surface composition, electronic landscape, and photovoltaic (PV) performance of solution-processed CuIn(S,Se)2 (CISSe) thin films. X-ray fluorescence (XRF) confirmed that the Cu/In ratio in the CISSe films closely matches that of the precursor solution, while X-ray diffraction (XRD) indicated a consistent Se/(Se + S) ratio of 0.55 across all samples. In contrast, X-ray photoelectron spectroscopy (XPS) revealed that the surface Cu/In ratio is approximately 30% lower than the bulk value. CISSe devices fabricated in a standard substrate configuration (SLG/Mo/CISSe/CdS/i-ZnO/Al : ZnO) exhibited the highest power conversion efficiency (PCE) of 9.1% at a Cu/In ratio of 0.95. As the Cu content increased, PCE dropped sharply, accompanied by a reduction in band tailing (decrease in bulk disorder). For the first time, energy-filtered photoemission electron microscopy was used to reveal a direct correlation between PV performance and the evolution of the surface electronic landscape. The highest PCE corresponded to CISSe absorbers with a mean work function (WF) of 4.9 eV. Increasing the Cu/In ratio beyond 0.95 led to a significant decrease in mean WF. Notably, at a Cu/In ratio of 1.10, nanometer-sized domains with WF values as low as 3.9 eV emerged. These features are discussed in the context of the complex interplay between bulk and surface disorder and their impact on PV performance.<br><br>© The Author(s), CC BY 3.0
DOI: 10.17028/rd.lboro.31035328.v1
title: Supplementary information files for "Mapping the surface electronic landscape of solution processed CuIn(S,Se)2 thin-films as a function of the Cu/In ratio"

description: Supplementary files for article "Mapping the surface electronic landscape of solution-processed CuIn(S,Se)2 thin-films as a function of the Cu/In ratio"<br><br>This study explores the influence of the Cu/In ratio, ranging from 0.80 to 1.10, on the surface composition, electronic landscape, and photovoltaic (PV) performance of solution-processed CuIn(S,Se)2 (CISSe) thin films. X-ray fluorescence (XRF) confirmed that the Cu/In ratio in the CISSe films closely matches that of the precursor solution, while X-ray diffraction (XRD) indicated a consistent Se/(Se + S) ratio of 0.55 across all samples. In contrast, X-ray photoelectron spectroscopy (XPS) revealed that the surface Cu/In ratio is approximately 30% lower than the bulk value. CISSe devices fabricated in a standard substrate configuration (SLG/Mo/CISSe/CdS/i-ZnO/Al : ZnO) exhibited the highest power conversion efficiency (PCE) of 9.1% at a Cu/In ratio of 0.95. As the Cu content increased, PCE dropped sharply, accompanied by a reduction in band tailing (decrease in bulk disorder). For the first time, energy-filtered photoemission electron microscopy was used to reveal a direct correlation between PV performance and the evolution of the surface electronic landscape. The highest PCE corresponded to CISSe absorbers with a mean work function (WF) of 4.9 eV. Increasing the Cu/In ratio beyond 0.95 led to a significant decrease in mean WF. Notably, at a Cu/In ratio of 1.10, nanometer-sized domains with WF values as low as 3.9 eV emerged. These features are discussed in the context of the complex interplay between bulk and surface disorder and their impact on PV performance.<br><br>© The Author(s), CC BY 3.0
DOI: 10.15156/bio/sh0164312.10fu
title: SH0164312.10FU

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/sh0164313.10fu
title: SH0164313.10FU

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/sh0164314.10fu
title: SH0164314.10FU

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.