cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1115949.10fu
title: SH1115949.10FU

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/sh1115954.10fu
title: SH1115954.10FU

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/sh1115957.10fu
title: SH1115957.10FU

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/sh1115959.10fu
title: SH1115959.10FU

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/sh1115960.10fu
title: SH1115960.10FU

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/sh1115961.10fu
title: SH1115961.10FU

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/sh1115962.10fu
title: SH1115962.10FU

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/sh1115964.10fu
title: SH1115964.10FU

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/sh1115966.10fu
title: SH1115966.10FU

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.5up3aq
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Senecio volckmannii Phil.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 66 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015462-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jsnk5z
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Azorella cryptantha (Clos) Reiche)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 42 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015461-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m4a483
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gamocarpha scapigera (J.Rémy) S.Denham & Pozner)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 90 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015463-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e222461v1
title: Cooperative pathways for the green transformation of heavily polluting enterprises: a four-party game-driven mechanism for green M&A

description: Amid the push for green transformation and industrial upgrades, how heavily polluting enterprises achieve green transition has become a focal point for the government and society. In response to policy demands, these enterprises often pursue green mergers as a means of transformation, though under varying conditions, they may opt for either green mergers or greenwashing, raising questions about their motivations. Based on evolutionary game theory, this paper constructs a four-party game model involving the media, government, public, and enterprises to analyze strategy stability. Using Lyapunov's first law, this paper examine the stability of equilibrium points, investigating how factors like media transparency, regulatory strength, and public discernment affect corporate decisions. The findings show that: 1) corporate green mergers are significantly influenced by media authenticity, government oversight, and public discernment; 2) media and public supervision play crucial roles in curbing greenwashing. Based on these insights, we propose strengthening media supervision, optimizing regulatory policies, and enhancing public environmental awareness to promote green mergers.
DOI: 10.5281/zenodo.15047543
title: Ciona tail regression_genotype_Ano6 (KH.C10.524)_video2 (part2)

description: Video that was collected using Ciona Tracker 2.0 as part of Liang et al 2025. Animals included in this video are Ano6 mutants used in CRISPR/Cas9 experiments addressing the role of Ano5 and Ano6 in Ciona sensory perception.
DOI: 10.5281/zenodo.15047544
title: Ciona tail regression_genotype_Ano6 (KH.C10.524)_video2 (part2)

description: Video that was collected using Ciona Tracker 2.0 as part of Liang et al 2025. Animals included in this video are Ano6 mutants used in CRISPR/Cas9 experiments addressing the role of Ano5 and Ano6 in Ciona sensory perception.
DOI: 10.15468/dl.4ucf7v
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gamocarpha ventosa (Meyen) S.Denham & Pozner)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 39 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015467-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xzdf2k
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Doniophyton weddellii Katinas & Stuessy)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 44 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015466-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8jqpgm
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Werneria pinnatifida J.Rémy)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 28 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015465-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15047553
title: EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 2004 by state

description: This dataset contains EPA CAMPD (Clean Air Markets Program Data) daily emissions data for 2004 by state. It includes detailed information on emissions for the specified period. The data was collected from the EPA CAMPD system and is intended for use in environmental analysis and reporting in February 2025.
DOI: 10.5281/zenodo.15047554
title: EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 2004 by state

description: This dataset contains EPA CAMPD (Clean Air Markets Program Data) daily emissions data for 2004 by state. It includes detailed information on emissions for the specified period. The data was collected from the EPA CAMPD system and is intended for use in environmental analysis and reporting in February 2025.
DOI: 10.15468/dl.rkg64d
title: Occurrence Download

description: A dataset containing 1103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Ichthyococcus australis Mukhacheva, 1980, Ichthyococcus elongatus Imai, 1941, Ichthyococcus intermedius Mukhacheva, 1980, Ichthyococcus irregularis Rechnitzer & Böhlke, 1958, Ichthyococcus ovatus (Cocco, 1838), Ichthyococcus parini Mukhacheva, 1980, Ichthyococcus polli Blache, 1964)"
 ]
}

 The dataset includes 1103 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015468-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48511/16mv4lbj
title: Upper Wilson Creek Hydrometric (MCKWIL01H)

description: This dataset contains hydrometric and water temperature data for Upper Wilson Creek hydrometric station. This site is part of the Living Lakes Canada Columbia Basin Water Monitoring Framework program (CBWMF). The CBWMF is a coordinated monitoring network that tracks how climate change and other impacts are affecting water supply for communities and ecosystems across the Canadian Columbia Basin region. Upper Wilson Creek is being monitored as it is an important tributary to Slocan Lake and was identified by the community as a priority. This watershed is glacially fed in its upper reaches. The data is being collected to track climate change and other impacts on Columbia Basin water supply and to support community climate adaptation.
DOI: 10.5281/zenodo.15047559
title: EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 2005 by state

description: This dataset contains EPA CAMPD (Clean Air Markets Program Data) daily emissions data for 2005 by state. It includes detailed information on emissions for the specified period. The data was collected from the EPA CAMPD system and is intended for use in environmental analysis and reporting in February 2025.
DOI: 10.5281/zenodo.15047560
title: EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 2005 by state

description: This dataset contains EPA CAMPD (Clean Air Markets Program Data) daily emissions data for 2005 by state. It includes detailed information on emissions for the specified period. The data was collected from the EPA CAMPD system and is intended for use in environmental analysis and reporting in February 2025.
DOI: 10.5281/zenodo.15047563
title: EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 2006 by state

description: This dataset contains EPA CAMPD (Clean Air Markets Program Data) daily emissions data for 2006 by state. It includes detailed information on emissions for the specified period. The data was collected from the EPA CAMPD system and is intended for use in environmental analysis and reporting in February 2025.
DOI: 10.5281/zenodo.15047564
title: EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 2006 by state

description: This dataset contains EPA CAMPD (Clean Air Markets Program Data) daily emissions data for 2006 by state. It includes detailed information on emissions for the specified period. The data was collected from the EPA CAMPD system and is intended for use in environmental analysis and reporting in February 2025.
DOI: 10.15468/dl.qbz7c5
title: Occurrence Download

description: A dataset containing 135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cerobasis annulata (Hagen, 1865)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 135 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015471-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wzs7h9
title: Occurrence Download

description: A dataset containing 2110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Phosichthys argenteus Hutton, 1872"
 ]
}

 The dataset includes 2110 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015469-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zfy66t
title: Occurrence Download

description: A dataset containing 1776 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pollichthys mauli (Poll, 1953)"
 ]
}

 The dataset includes 1776 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015470-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15047565
title: EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 2007 by state

description: This dataset contains EPA CAMPD (Clean Air Markets Program Data) daily emissions data for 2007 by state. It includes detailed information on emissions for the specified period. The data was collected from the EPA CAMPD system and is intended for use in environmental analysis and reporting in February 2025.
DOI: 10.5281/zenodo.15047566
title: EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 2007 by state

description: This dataset contains EPA CAMPD (Clean Air Markets Program Data) daily emissions data for 2007 by state. It includes detailed information on emissions for the specified period. The data was collected from the EPA CAMPD system and is intended for use in environmental analysis and reporting in February 2025.
DOI: 10.15468/dl.7d2pxh
title: Occurrence Download

description: A dataset containing 489 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Werneria pygmaea Gillies ex Hook.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 489 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015472-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15047568
title: EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 2008 by state

description: This dataset contains EPA CAMPD (Clean Air Markets Program Data) daily emissions data for 2008 by state. It includes detailed information on emissions for the specified period. The data was collected from the EPA CAMPD system and is intended for use in environmental analysis and reporting in February 2025.
DOI: 10.5281/zenodo.15047569
title: EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 2008 by state

description: This dataset contains EPA CAMPD (Clean Air Markets Program Data) daily emissions data for 2008 by state. It includes detailed information on emissions for the specified period. The data was collected from the EPA CAMPD system and is intended for use in environmental analysis and reporting in February 2025.
DOI: 10.5281/zenodo.15047570
title: EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 2009 by state

description: This dataset contains EPA CAMPD (Clean Air Markets Program Data) daily emissions data for 2009 by state. It includes detailed information on emissions for the specified period. The data was collected from the EPA CAMPD system and is intended for use in environmental analysis and reporting in February 2025.