cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0210766.10fu
title: SH0210766.10FU

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/sh0210767.10fu
title: SH0210767.10FU

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/sh0210768.10fu
title: SH0210768.10FU

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/sh0210769.10fu
title: SH0210769.10FU

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/sh0210770.10fu
title: SH0210770.10FU

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/sh0210771.10fu
title: SH0210771.10FU

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/sh0210772.10fu
title: SH0210772.10FU

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/sh0210773.10fu
title: SH0210773.10FU

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/sh0210774.10fu
title: SH0210774.10FU

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/sh0210775.10fu
title: SH0210775.10FU

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.2m9bny
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Vigna gracilis var. gracilis"
 ]
}

 The dataset includes 23 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004559-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ty34ef
title: Occurrence Download

description: A dataset containing 983 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Country is China",
 "TaxonKey is Glycine soja Siebold & Zucc."
 ]
}

 The dataset includes 983 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004561-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t56wju
title: Occurrence Download

description: A dataset containing 31245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abutilon theophrasti Medik.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 31245 records from 521 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004562-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5js9hm22
title: MassIVE MSV000097176 - Correlative Analysis of Amino Acids Sites for Structure Elucidation with Covalent Protein Painting
title: Modern, quantitative proteome biology relies on bottom-up mass spectrometry-based quantification techniques. Current proteomic methods to quantify proteins and compare sample conditions use either isotope-defined metabolic or chemical labels that modify select amino acids in the proteome. Covalent modification of proteins with isotope-defined reagents enables protein footprinting techniques to quantify site-specific conformational information like the solvent exposure of amino acids on the surface of proteins. However, the current analysis of chemical protein footprinting experiments like covalent protein painting miss to quantify a large proportion of peptides because of ambiguities in the position of the label that can arise in case more than one amino acid is modified per peptide. Here, we developed a mass spectrometry-based approach to deconvolute the relative mass modifications of two lysine acid sites in the same peptide. We use fragment ion quantification of the isobaric isotopologues to determine at which lysine site the modification is located. The new approach increased the overall quantification efficiency by 15% in a large dataset comprising 60 different cancer cell lines. Furthermore, the correlative information of the solvent accessibility between the two lysine sites was retained.
DOI: 10.15468/dl.n8czpn
title: Occurrence Download

description: A dataset containing 31245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abutilon theophrasti Medik.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 31245 records from 521 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004560-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.95sjcn
title: Occurrence Download

description: A dataset containing 31245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abutilon theophrasti Medik.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 31245 records from 521 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004563-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.usab2q
title: Occurrence Download

description: A dataset containing 4645 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-98.14175 30.33302,-98.14219 30.33332,-98.1442 30.33351,-98.14583 30.33383,-98.14719 30.33409,-98.14874 30.32756,-98.14842 30.31412,-98.14324 30.31124,-98.14073 30.31034,-98.13638 30.30977,-98.13575 30.32838,-98.1351 30.34062,-98.13702 30.33972,-98.13777 30.34028,-98.13865 30.33979,-98.13862 30.3384,-98.13878 30.33805,-98.13856 30.33595,-98.1396 30.3334,-98.14113 30.33313,-98.14175 30.33302))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 4645 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054079-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g2nvqm
title: Occurrence Download

description: A dataset containing 386 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dioscorea pilosiuscula"
 ]
}

 The dataset includes 386 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054080-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.73vpsp
title: Occurrence Download

description: A dataset containing 157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Dimorphandra cuprea"
 ]
}

 The dataset includes 157 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054083-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8w68yk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Grus antigone",
 "Country is Germany",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054081-250920141307145/datasets/export for details.
DOI: 10.15468/dl.p9yer9
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Grus antigone",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054082-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/60mm-z7hd-b0e
title: DC3: NASA DC-8 LARGE ABS Data. Version 1.0

description: This data set contains NASA DC-8 Langley Aerosol Research Group Experiment (LARGE) In-situ Aerosol Absorption (ABS) Data collected during the Deep Convective Clouds and Chemistry Experiment (DC3) from 18 May 2012 through 22 June 2012. This data set is in ICARTT format. Please see the header portion of the data files for details on instruments, parameters, quality assurance, quality control, contact information, and data set comments.
DOI: 10.15468/dl.arc6pc
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nassella stuckertii"
 ]
}

 The dataset includes 37 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054084-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/hr3zt8fnm7
title: Research Data - Putri And Andrian (2025)

description: The purpose of this study is to empirically test whether corporate social responsibility and nationality diversity affect financial performance, proxied by Return on Assets and Return on Equity, with environmental consciousness as a moderating variable. This study uses a quantitative approach with secondary data in the form of annual financial reports and/or sustainability reports from the energy sector listed on the Indonesia Stock Exchange for the period 2019-2023 with a sample of 108 companies using panel data regression processed using Eviews 14. The results show that nationality diversity has a significant negative effect on financial performance, as proxied by ROA and ROE. Meanwhile, corporate social responsibility has a significant positive effect on financial performance, as proxied by ROA and ROE. Environmental consciousness can strengthen the relationship between nationality diversity and financial performance, as proxied by ROA and ROE. However, environmental consciousness does not moderate the relationship between corporate social responsibility and financial performance, which is proxied by ROA and ROE. Companies can increase CSR disclosure activities, such as community welfare programs and employee quality development programs, which have an impact on improving financial performance. In addition, companies can also increase their focus on environmental efforts through environmental consciousness, where companies are required to care for the environment for the sustainability of the company, which is a government program called Sustainable Development Goals (SDGs).
DOI: 10.15468/dl.8bf3zp
title: Occurrence Download

description: A dataset containing 1212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Daphniphyllum calycinum)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1212 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054085-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/hr3zt8fnm7.1
title: Research Data - Putri And Andrian (2025)

description: The purpose of this study is to empirically test whether corporate social responsibility and nationality diversity affect financial performance, proxied by Return on Assets and Return on Equity, with environmental consciousness as a moderating variable. This study uses a quantitative approach with secondary data in the form of annual financial reports and/or sustainability reports from the energy sector listed on the Indonesia Stock Exchange for the period 2019-2023 with a sample of 108 companies using panel data regression processed using Eviews 14. The results show that nationality diversity has a significant negative effect on financial performance, as proxied by ROA and ROE. Meanwhile, corporate social responsibility has a significant positive effect on financial performance, as proxied by ROA and ROE. Environmental consciousness can strengthen the relationship between nationality diversity and financial performance, as proxied by ROA and ROE. However, environmental consciousness does not moderate the relationship between corporate social responsibility and financial performance, which is proxied by ROA and ROE. Companies can increase CSR disclosure activities, such as community welfare programs and employee quality development programs, which have an impact on improving financial performance. In addition, companies can also increase their focus on environmental efforts through environmental consciousness, where companies are required to care for the environment for the sustainability of the company, which is a government program called Sustainable Development Goals (SDGs).