cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0208144.10fu
title: SH0208144.10FU

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/sh0208145.10fu
title: SH0208145.10FU

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/sh0208146.10fu
title: SH0208146.10FU

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/sh0208147.10fu
title: SH0208147.10FU

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/sh0208148.10fu
title: SH0208148.10FU

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/sh0208149.10fu
title: SH0208149.10FU

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/sh0208150.10fu
title: SH0208150.10FU

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/sh0208151.10fu
title: SH0208151.10FU

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/sh0208152.10fu
title: SH0208152.10FU

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.18053977
title: Data and statistical outputs related to Evaluating the Impact of Adopting Green Accounting on Sustainability Reporting at the Central Bank of Iraq (CBI): A Vision to Support the 2030 Sustainable Development Goals (SDGs).

description: Data and statistical outputs related to Evaluating the Impact of Adopting Green Accounting on Sustainability Reporting at the Central Bank of Iraq (CBI): A Vision to Support the 2030 Sustainable Development Goals (SDGs).
DOI: 10.5281/zenodo.18098391
title: Data and statistical outputs related to Evaluating the Impact of Adopting Green Accounting on Sustainability Reporting at the Central Bank of Iraq (CBI): A Vision to Support the 2030 Sustainable Development Goals (SDGs).

description: Data and statistical outputs related to Evaluating the Impact of Adopting Green Accounting on Sustainability Reporting at the Central Bank of Iraq (CBI): A Vision to Support the 2030 Sustainable Development Goals (SDGs).
DOI: 10.6084/m9.figshare.30972205
title: Non-synonymous Substitution Data

description: The aim of this analysis was to identify whether gene classes' (interacting n-mts, non-interacting n-mts, and non-n-mts) mitonuclear linkage disequilibrium metrics were mitigated by the number of non-synonymous substitutions in a gene. In other words, we wanted to know whether the relationship between gene class and mitonuclear LD differed in genes with more non-synonymous substitutions. Substitution data was provided by Molly Schumer and used to identify whether an AIM represented a non-synonymous or synonymous, species-specific variant. Of all the substitutions identified between hybridizing Xiphophorus species, substitutions included in this analysis must still be an AIM (or be able to be used for identifying species-specific ancestry in a hybrid swordtail fish). Xbirchmanni10xgenome_addmito_ancestry_informative_sites_filterF1 is the substitution data used for CALL and CHAF hybrids. xbir_xcor_10x_genomes_identify_pairwise_dxy was used for HUEX-STAC hybrids. All other files here are outputs of the analysis (either files that have AIMs' substitution identifications and relevant info or files that show statistical testing outputs). <br>'goodDat' files have information for each AIM<br>'quantDat' files have only relevant information from goodDat with the addition of mitonuclear LD values<br>'summary-stat' files have summary statistics for each grouping variable for each population'ANOVA-III' files are the type III ANOVA results for all mitonuclear LD stats for that population<br>'summary' files are the output of the summary() command in R comparing the non-n-mt class to each of the n-mt classes to identify differences in slopes for each level of the gene class variable in the model<br><br>please see the 09_dNAnalysis in the GitHub repo for scripts used to generate and make use of these files: https://github.com/sakuster/sensitivity-of-genome-wide-mtnuc/tree/main/09_dNAnalysis
DOI: 10.6084/m9.figshare.30972205.v1
title: Non-synonymous Substitution Data

description: The aim of this analysis was to identify whether gene classes' (interacting n-mts, non-interacting n-mts, and non-n-mts) mitonuclear linkage disequilibrium metrics were mitigated by the number of non-synonymous substitutions in a gene. In other words, we wanted to know whether the relationship between gene class and mitonuclear LD differed in genes with more non-synonymous substitutions. Substitution data was provided by Molly Schumer and used to identify whether an AIM represented a non-synonymous or synonymous, species-specific variant. Of all the substitutions identified between hybridizing Xiphophorus species, substitutions included in this analysis must still be an AIM (or be able to be used for identifying species-specific ancestry in a hybrid swordtail fish). Xbirchmanni10xgenome_addmito_ancestry_informative_sites_filterF1 is the substitution data used for CALL and CHAF hybrids. xbir_xcor_10x_genomes_identify_pairwise_dxy was used for HUEX-STAC hybrids. All other files here are outputs of the analysis (either files that have AIMs' substitution identifications and relevant info or files that show statistical testing outputs). <br>'goodDat' files have information for each AIM<br>'quantDat' files have only relevant information from goodDat with the addition of mitonuclear LD values<br>'summary-stat' files have summary statistics for each grouping variable for each population'ANOVA-III' files are the type III ANOVA results for all mitonuclear LD stats for that population<br>'summary' files are the output of the summary() command in R comparing the non-n-mt class to each of the n-mt classes to identify differences in slopes for each level of the gene class variable in the model<br><br>please see the 09_dNAnalysis in the GitHub repo for scripts used to generate and make use of these files: https://github.com/sakuster/sensitivity-of-genome-wide-mtnuc/tree/main/09_dNAnalysis
DOI: 10.15468/dl.vb6ajc
title: Occurrence Download

description: A dataset containing 651153 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-87.96051 41.33079,-86.72618 41.33079,-86.72618 41.86472,-87.96051 41.86472,-87.96051 41.33079))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2024-2025"
 ]
}

 The dataset includes 651153 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069381-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fgy8f9
title: Occurrence Download

description: A dataset containing 339698 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus petraea"
 ]
}

 The dataset includes 339698 records from 1695 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069374-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2yburk
title: Occurrence Download

description: A dataset containing 499 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Habromys lepturus (Merriam, 1898)"
 ]
}

 The dataset includes 499 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002460-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gzxexh
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Coordinate reprojected, Country derived from coordinates, Continent derived from coordinates)",
 "OccurrenceStatus is Present",
 "TaxonKey is Rubus adenotrichus Schltdl."
 ]
}

 The dataset includes 20 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002461-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qnavja
title: Occurrence Download

description: A dataset containing 1854 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Ecuador",
 "OccurrenceStatus is Present",
 "PublishingCountry is Ecuador",
 "StateProvince is Guayas"
 ]
}

 The dataset includes 1854 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002462-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zhrvnz
title: Occurrence Download

description: A dataset containing 12434 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crocosmia ×crocosmiiflora (Lemoine) N.E.Br.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 12434 records from 427 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002463-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rghpsq
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Habromys schmidlyi Romo-Vázquez, León-Paniagua & Sánchez, 2005"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002464-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xkmmr2
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Habromys simulatus (Osgood, 1904)"
 ]
}

 The dataset includes 75 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002465-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gnbwvy
title: Occurrence Download

description: A dataset containing 1918 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hovenia dulcis Thunb.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1918 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002467-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3vpg8d
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is cccff716-2694-4209-9f9e-2f7a484465a0",
 "TaxonKey is Potamotrygon magdalenae (Duméril, 1865)"
 ]
}

 The dataset includes 30 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002466-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7f4rww
title: Occurrence Download

description: A dataset containing 814 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Handleyomys Voss, Gómez-Laverde & Pacheco, 2002"
 ]
}

 The dataset includes 814 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002468-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25486544
title: How will technology change people’s home care in the next 20 years? A strategic foresight study

description: The rapid expansion of home health care has raised many unresolved issues and will have far-reaching consequences that can only be overcome with a holistic approach to help build and use collective intelligence in a structured, systemic way to anticipate developments. In this frame, the set of issues covered by the human factors research field will significantly impact the safety, quality, and effectiveness of home health care. However, only with a gaze of strategic foresight will we be capable of exploring, anticipating, and shaping the future. A group of researchers from the Italian Society of Ergonomics and Human Factors (SIE) has developed a road map to help all the stakeholders involved in this process. A Strategic Foresight study was conducted to define a preferred scenario of home care in the next 20 years. A hybrid survey method called Human-Centred Foresight was applied. The results achieved in the study show a possible scenario of home care that can define medium- and long-term goals from today until 2041.
DOI: 10.6084/m9.figshare.25486544.v2
title: How will technology change people’s home care in the next 20 years? A strategic foresight study

description: The rapid expansion of home health care has raised many unresolved issues and will have far-reaching consequences that can only be overcome with a holistic approach to help build and use collective intelligence in a structured, systemic way to anticipate developments. In this frame, the set of issues covered by the human factors research field will significantly impact the safety, quality, and effectiveness of home health care. However, only with a gaze of strategic foresight will we be capable of exploring, anticipating, and shaping the future. A group of researchers from the Italian Society of Ergonomics and Human Factors (SIE) has developed a road map to help all the stakeholders involved in this process. A Strategic Foresight study was conducted to define a preferred scenario of home care in the next 20 years. A hybrid survey method called Human-Centred Foresight was applied. The results achieved in the study show a possible scenario of home care that can define medium- and long-term goals from today until 2041.