cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1048518.10fu
title: SH1048518.10FU

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/sh1048519.10fu
title: SH1048519.10FU

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/sh1048521.10fu
title: SH1048521.10FU

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/sh1048522.10fu
title: SH1048522.10FU

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/sh1048524.10fu
title: SH1048524.10FU

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/sh1048530.10fu
title: SH1048530.10FU

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/sh1048531.10fu
title: SH1048531.10FU

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/sh1048533.10fu
title: SH1048533.10FU

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/sh1048536.10fu
title: SH1048536.10FU

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: 10.25318/3310089901-eng
title: Languages used by the business or organization in providing services or performing activities over the last 12 months, fourth quarter of 2024

description: Languages used by the business or organization in providing services or performing activities over the last 12 months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, fourth quarter of 2024.
DOI: 10.15468/dl.36tt4a
title: Occurrence Download

description: A dataset containing 221 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Microstomus achne (Jordan & Starks, 1904)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 221 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007196-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x8xsv3
title: Occurrence Download

description: A dataset containing 493025 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Sonchus asper (L.) Hill)"
 ]
}

 The dataset includes 493025 records from 2888 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007189-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h9ec29
title: Occurrence Download

description: A dataset containing 2557 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Exerodonta Brocchi, 1879"
 ]
}

 The dataset includes 2557 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000089-250225202704447/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fws36h
title: Occurrence Download

description: A dataset containing 2557 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Exerodonta Brocchi, 1879"
 ]
}

 The dataset includes 2557 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000000-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.88d7cp
title: Occurrence Download

description: A dataset containing 1242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Netta peposaca (Vieillot, 1816)"
 ]
}

 The dataset includes 1242 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000001-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d9r33w
title: Occurrence Download

description: A dataset containing 29528 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tadarida brasiliensis (I.Geoffroy, 1824)"
 ]
}

 The dataset includes 29528 records from 191 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000002-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.de4k8h
title: Occurrence Download

description: A dataset containing 1406599 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achillea millefolium L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1406599 records from 4294 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000054-250225202704447/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr03592.v1
title: Campaign Expenditures in the United States, 1989-1990: Detailed Report File
title: Version 1

description: These data are made available by the Federal Election
 Commission (FEC) and are taken directly from campaign finance reports
 filed by candidates, political committees, and others required to file
 under the federal election laws. This data file contains one record for
 each separate reporting period for each FEC committee and, as such, is
 the source for longitudinal information about committee financial
 activity during the 1989-1990 election cycle. Information presented in
 the file includes the political committee identification number, report
 year and type, time period covered by the report, total receipts and
 disbursements, beginning and ending cash balances, debts owed by and to
 the committee, individual, political, and candidate contributions,
 transfers from affiliated committees, loans received and payments made,
and refunds.
description: Datasets: 
DS1: Campaign Expenditures in the United States, 1989-1990: Detailed Report File
description: All campaign finance transactions and reports occurring
during the 1989-1990 election cycle.
description: Starting in 1989-1990, the Detailed Report File has
 been released by the FEC as a separate study. It was formerly included
as part of the Freedom of Information Act (FOIA) data.
DOI: 10.3886/icpsr03592
title: Campaign Expenditures in the United States, 1989-1990: Detailed Report File
title: Archival Version

description: These data are made available by the Federal Election
 Commission (FEC) and are taken directly from campaign finance reports
 filed by candidates, political committees, and others required to file
 under the federal election laws. This data file contains one record for
 each separate reporting period for each FEC committee and, as such, is
 the source for longitudinal information about committee financial
 activity during the 1989-1990 election cycle. Information presented in
 the file includes the political committee identification number, report
 year and type, time period covered by the report, total receipts and
 disbursements, beginning and ending cash balances, debts owed by and to
 the committee, individual, political, and candidate contributions,
 transfers from affiliated committees, loans received and payments made,
and refunds.
description: Datasets: 
DS1: Campaign Expenditures in the United States, 1989-1990: Detailed Report File
description: All campaign finance transactions and reports occurring
during the 1989-1990 election cycle.
description: Starting in 1989-1990, the Detailed Report File has
 been released by the FEC as a separate study. It was formerly included
as part of the Freedom of Information Act (FOIA) data.
DOI: 10.5517/cc13333f
title: CCDC 1015873: Experimental Crystal Structure Determination

description: Related Article: Katja Traven, Maša Sinreih, Jure Stojan, Sara Seršen, Jakob Kljun, Jure Bezenšek, Branko Stanovnik, Iztok Turel, Tea Lanišnik Rižner|2015|Chem.Biol.Interact.|234|349|doi:10.1016/j.cbi.2014.11.005
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: 10.5517/cc13334g
title: CCDC 1015874: Experimental Crystal Structure Determination

description: Related Article: Katja Traven, Maša Sinreih, Jure Stojan, Sara Seršen, Jakob Kljun, Jure Bezenšek, Branko Stanovnik, Iztok Turel, Tea Lanišnik Rižner|2015|Chem.Biol.Interact.|234|349|doi:10.1016/j.cbi.2014.11.005
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: 10.5517/cc13335h
title: CCDC 1015875: Experimental Crystal Structure Determination

description: Related Article: Katja Traven, Maša Sinreih, Jure Stojan, Sara Seršen, Jakob Kljun, Jure Bezenšek, Branko Stanovnik, Iztok Turel, Tea Lanišnik Rižner|2015|Chem.Biol.Interact.|234|349|doi:10.1016/j.cbi.2014.11.005
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: 10.5517/cc13330b
title: CCDC 1015870: Experimental Crystal Structure Determination

description: Related Article: Wen-Xing Liu, Duo-Zhi Chen, Jia-Yin Ding, Xiao-Jiang Hao and Shun-Lin Li|2015|Helv.Chim.Acta|98|1403|doi:10.1002/hlca.201400267
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: 10.5517/cc13336j
title: CCDC 1015876: Experimental Crystal Structure Determination

description: Related Article: Jagadeesh Babu Nanubolu, Balasubramanian Sridhar, Krishnan Ravikumar|2014|CrystEngComm|16|10602|doi:10.1039/C4CE01541J
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: 10.5517/cc13337k
title: CCDC 1015877: Experimental Crystal Structure Determination

description: Related Article: Jagadeesh Babu Nanubolu, Balasubramanian Sridhar, Krishnan Ravikumar|2014|CrystEngComm|16|10602|doi:10.1039/C4CE01541J
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: 10.5517/cc13338l
title: CCDC 1015878: Experimental Crystal Structure Determination

description: Related Article: Xianglei Liu, Bin Li, and Zhenhua Gu|2015|J.Org.Chem.|80|7547|doi:10.1021/acs.joc.5b01126
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: 10.5517/cc13339m
title: CCDC 1015879: Experimental Crystal Structure Determination

description: Related Article: Izabela D. Madura, Karolina Czerwińska, Dominika Sołdańska|2014|Cryst.Growth Des.|14|5912|doi:10.1021/cg501132d
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: 10.5517/cc1333bn
title: CCDC 1015880: Experimental Crystal Structure Determination

description: Related Article: Izabela D. Madura, Karolina Czerwińska, Dominika Sołdańska|2014|Cryst.Growth Des.|14|5912|doi:10.1021/cg501132d
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: 10.5517/cc1333cp
title: CCDC 1015881: Experimental Crystal Structure Determination

description: Related Article: Izabela D. Madura, Karolina Czerwińska, Dominika Sołdańska|2014|Cryst.Growth Des.|14|5912|doi:10.1021/cg501132d
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.