cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2m4251
title: CCDC 2416982: Experimental Crystal Structure Determination

description: Related Article: M. Davlatboev, S. Allabergenova, F. Zulpanov, U. Yakubov, A. Tojiboev, T. Sattarov|2025|Acta Crystallogr.,Sect.E:Cryst.Commun.|81|144|doi:10.1107/S2056989025000258
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.gfddqu
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Canarina abyssinica Engl."
 ]
}

 The dataset includes 41 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000358-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e218842v1
title: Opioid Dispensing Rate Maps

description: While not a primary driver of drug overdose in the United States currently, prescription opioids do contribute to opioid-related deaths. The data in the maps show the geographic distribution in the United States, at both the state and county level, of retail pharmacy-dispensed opioid prescriptions per 100 persons per year from 2019–2022. Data are displayed within two types of interactive maps that show the estimated rate of opioid prescriptions per 100 U.S. residents. The state maps portray the rates per year for each of the 50 states and the District of Columbia. The county maps portray these rates for approximately 98% of U.S. counties represented in the IQVIA data for a given year from 2019-2022.
DOI: 10.3886/e218842v1-167181
title: Opioid Dispensing Rate Maps

description: While not a primary driver of drug overdose in the United States currently, prescription opioids do contribute to opioid-related deaths. The data in the maps show the geographic distribution in the United States, at both the state and county level, of retail pharmacy-dispensed opioid prescriptions per 100 persons per year from 2019–2022. Data are displayed within two types of interactive maps that show the estimated rate of opioid prescriptions per 100 U.S. residents. The state maps portray the rates per year for each of the 50 states and the District of Columbia. The county maps portray these rates for approximately 98% of U.S. counties represented in the IQVIA data for a given year from 2019-2022.
DOI: 10.3886/e218842
title: Opioid Dispensing Rate Maps (2006-2023)

description: While not a primary driver of drug overdose in the United States currently, prescription opioids do contribute to opioid-related deaths. The data in the maps show the geographic distribution in the United States, at both the state and county level, of retail pharmacy-dispensed opioid prescriptions per 100 persons per year from 2019–2022. Data are displayed within two types of interactive maps that show the estimated rate of opioid prescriptions per 100 U.S. residents. The state maps portray the rates per year for each of the 50 states and the District of Columbia. The county maps portray these rates for approximately 98% of U.S. counties represented in the IQVIA data for a given year from 2019-2023. 2006-2018 is only available in PDF format at the county level.
DOI: 10.3886/e218842v2
title: Opioid Dispensing Rate Maps (2006-2023)

description: While not a primary driver of drug overdose in the United States currently, prescription opioids do contribute to opioid-related deaths. The data in the maps show the geographic distribution in the United States, at both the state and county level, of retail pharmacy-dispensed opioid prescriptions per 100 persons per year from 2019–2022. Data are displayed within two types of interactive maps that show the estimated rate of opioid prescriptions per 100 U.S. residents. The state maps portray the rates per year for each of the 50 states and the District of Columbia. The county maps portray these rates for approximately 98% of U.S. counties represented in the IQVIA data for a given year from 2019-2023. 2006-2018 is only available in PDF format at the county level.
DOI: 10.15468/dl.jw8s7w
title: Occurrence Download

description: A dataset containing 12384 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Casiornis rufus (Vieillot, 1816)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12384 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000359-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14861221
title: Reconciled warning signals in observations and models imply approaching AMOC tipping point

description: Script for Reconciled warning signals in observations and models imply approaching AMOC tipping point
DOI: 10.5281/zenodo.14861222
title: Reconciled warning signals in observations and models imply approaching AMOC tipping point

description: Script for Reconciled warning signals in observations and models imply approaching AMOC tipping point
DOI: 10.5281/zenodo.14861226
title: FARZAD
DOI: 10.15468/dl.nu9a67
title: Occurrence Download

description: A dataset containing 153116 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Impatiens parviflora DC.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 153116 records from 622 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000350-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jq72zs
title: Occurrence Download

description: A dataset containing 730 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Living Specimen, Human Observation)",
 "TaxonKey is Santalum spicatum (R.Br.) A.DC."
 ]
}

 The dataset includes 730 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000360-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hhezmt
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-105.81781 33.36905,-105.79968 33.36905,-105.79968 33.38086,-105.81781 33.38086,-105.81781 33.36905))",
 "HasCoordinate is true",
 "TaxonKey is Satyrium titus (Fabricius, 1793)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000361-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.brh8xk
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Craugastor omiltemanus (Günther, 1900)"
 ]
}

 The dataset includes 134 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000363-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9v5mm7
title: Occurrence Download

description: A dataset containing 900 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Craugastor occidentalis (Taylor, 1941)"
 ]
}

 The dataset includes 900 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000362-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b9gsqw
title: Occurrence Download

description: A dataset containing 46367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Conirostrum speciosum (Temminck, 1824)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 46367 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000364-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c5x5pu
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Craugastor pelorus (Campbell & Savage, 2000)"
 ]
}

 The dataset includes 84 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000365-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5pgc8s
title: Occurrence Download

description: A dataset containing 1587691 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((-100.98 35.78,-83.82 35.78,-83.82 40.94,-100.98 40.94,-100.98 35.78))",
 "HasCoordinate is true",
 "License is one of (CC0 1.0, CC-BY-NC 4.0, CC-BY 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1587691 records from 394 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000345-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/hzcp-wd13
title: Creation and Integration of Industrial Tool-Based Formal Verification in ECE Design Validation and Verification Curriculum

description: This data set represents the summary results collected from graduate-students to get their feedback on new industry-grade assertion verification course offered by Portland State University.  Ultimately, this initiative aimed to bridge the gap between academic theory and industrial practice in the rapidly evolving field of formal verification. This study explores the initial integration of industrial formal methods into a computer engineering curriculum
DOI: 10.15468/dl.jxqpt7
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Craugastor polymniae (Campbell, Lamar & Hillis, 1989)"
 ]
}

 The dataset includes 51 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000366-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7btuf5
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Craugastor pozo (Johnson & Savage, 1995)"
 ]
}

 The dataset includes 61 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000370-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pbkbnj
title: Occurrence Download

description: A dataset containing 10549 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-75.56546 10.3309,-75.56362 10.22919,-75.47171 10.23133,-75.47416 10.33152,-75.56546 10.3309))"
 ]
}

 The dataset includes 10549 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000367-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0195751.10fu
title: SH0195751.10FU

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: 10.5281/zenodo.17915259
title: Designer indicators for two-photon recording of subthreshold voltage dynamics (Figure 3H Part 2 FOV3.2)
title: Figure 3H Part 2 FOV3.2

description: For questions regarding this dataset and the code used to analyze it please contact Dr. St-Pierre and Dr. Ji.
DOI: 10.15156/bio/sh0195752.10fu
title: SH0195752.10FU

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/sh0195753.10fu
title: SH0195753.10FU

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/sh0195754.10fu
title: SH0195754.10FU

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/sh0195755.10fu
title: SH0195755.10FU

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/sh0195756.10fu
title: SH0195756.10FU

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/sh0195757.10fu
title: SH0195757.10FU

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/sh0195758.10fu
title: SH0195758.10FU

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/sh0195759.10fu
title: SH0195759.10FU

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/sh0195760.10fu
title: SH0195760.10FU

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.