cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.w8rhpu
title: Occurrence Download

description: A dataset containing 152 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "TaxonKey is Erythrina rubrinervia Kunth",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 152 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010987-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2j6yh
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arenaria arcuatociliata G.López & Nieto Fel."
 ]
}

 The dataset includes 100 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012919-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9dmmyt
title: Occurrence Download

description: A dataset containing 2546873 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-76.48231 4.57938,-74.52673 4.57938,-74.52673 6.54109,-76.48231 6.54109,-76.48231 4.57938))"
 ]
}

 The dataset includes 2546873 records from 550 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0118763-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zs1xcn
title: Occurrence Download

description: A dataset containing 7798257 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "Country is Colombia"
 ]
}

 The dataset includes 7798257 records from 1825 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011327-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1061116.10fu
title: SH1061116.10FU

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/sh1061118.10fu
title: SH1061118.10FU

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/sh1061120.10fu
title: SH1061120.10FU

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/sh1061123.10fu
title: SH1061123.10FU

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/sh1061124.10fu
title: SH1061124.10FU

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/sh1061129.10fu
title: SH1061129.10FU

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/sh1061130.10fu
title: SH1061130.10FU

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/sh1061131.10fu
title: SH1061131.10FU

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/sh1061136.10fu
title: SH1061136.10FU

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.gufpvk
title: Occurrence Download

description: A dataset containing 429 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aegilops tauschii Coss.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 429 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000348-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2naszq
title: Occurrence Download

description: A dataset containing 3994 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Pernis ptilorhynchus (Temminck, 1821)",
 "Year 2000-2025"
 ]
}

 The dataset includes 3994 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000335-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pqwxth
title: Occurrence Download

description: A dataset containing 7622 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aegilops triuncialis L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 7622 records from 241 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000336-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t3ha44
title: Occurrence Download

description: A dataset containing 747 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Aviceda leuphotes (Dumont, 1820)",
 "Year 2000-2025"
 ]
}

 The dataset includes 747 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000351-250227182430271/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.28511033
title: Sea buckthorn flavonoids protect RPE cells from UVB-induced oxidative damage

description: Natural flavonoids are believed to provide protection to retinal pigment epithelial (RPE) cells due to their well-established antioxidant properties. This study aims to evaluate the impact of sea buckthorn flavonoids on a UVB-induced oxidative damage model of RPE cells. The n-butanol extract fraction (Fr. NB) was identified as the most effective component from five different polar extracts using the ABTS method and an RPE cell oxidative stress model. Interestingly, HPLC analysis revealed that the main flavonoids in Fr. NB were rutin, Isorhamnetin-3-O-glucoside-7-O-rhamnoside (IR3G7R), and Isorhamnetin-3-O-glucoside (IR3G), all of which significantly increased cell viability. Both Fr. NB and the major flavonoids reduced oxidative damage by enhancing the activity of antioxidant enzymes and reducing levels of oxidative products and apoptosis. These findings suggest that sea buckthorn flavonoids may protect RPE cells from UVB-induced oxidative damage through an antioxidant mechanism, potentially offering health benefits for the human eye.
DOI: 10.6084/m9.figshare.28511033.v1
title: Sea buckthorn flavonoids protect RPE cells from UVB-induced oxidative damage

description: Natural flavonoids are believed to provide protection to retinal pigment epithelial (RPE) cells due to their well-established antioxidant properties. This study aims to evaluate the impact of sea buckthorn flavonoids on a UVB-induced oxidative damage model of RPE cells. The n-butanol extract fraction (Fr. NB) was identified as the most effective component from five different polar extracts using the ABTS method and an RPE cell oxidative stress model. Interestingly, HPLC analysis revealed that the main flavonoids in Fr. NB were rutin, Isorhamnetin-3-O-glucoside-7-O-rhamnoside (IR3G7R), and Isorhamnetin-3-O-glucoside (IR3G), all of which significantly increased cell viability. Both Fr. NB and the major flavonoids reduced oxidative damage by enhancing the activity of antioxidant enzymes and reducing levels of oxidative products and apoptosis. These findings suggest that sea buckthorn flavonoids may protect RPE cells from UVB-induced oxidative damage through an antioxidant mechanism, potentially offering health benefits for the human eye.
DOI: 10.15468/dl.uqqbn5
title: Occurrence Download

description: A dataset containing 814 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chalcorana raniceps (Peters, 1871)"
 ]
}

 The dataset includes 814 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000353-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f6z34n
title: Occurrence Download

description: A dataset containing 8506 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is one of (Elanus caeruleus (Desfontaines, 1789), Pandion haliaetus (Linnaeus, 1758))",
 "Year 2000-2025"
 ]
}

 The dataset includes 8506 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000338-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6zbg5c
title: Occurrence Download

description: A dataset containing 163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Martes americana (Turton, 1806)",
 "Year 2000-2021"
 ]
}

 The dataset includes 163 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0245926-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u9gtmy
title: Occurrence Download

description: A dataset containing 273 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-108.01605 45.19943,-95.16524 45.21376,-95.29772 48.94218,-108.01605 48.95515,-108.01605 45.19943))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepus Linnaeus, 1758"
 ]
}

 The dataset includes 273 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0256329-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bwrjbj
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "TaxonKey is Asclepias syriaca L."
 ]
}

 The dataset includes 112 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000339-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dvbs3c
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chiasmocleis mehelyi Caramaschi & Cruz, 1997"
 ]
}

 The dataset includes 71 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000354-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gyqt4d
title: Occurrence Download

description: A dataset containing 24823 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gasteracantha cancriformis (Linnaeus, 1758)"
 ]
}

 The dataset includes 24823 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000340-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5xqxf6
title: Occurrence Download

description: A dataset containing 232 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chirixalus doriae Boulenger, 1893"
 ]
}

 The dataset includes 232 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000356-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7da9bt
title: Occurrence Download

description: A dataset containing 1472 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Puma concolor (Linnaeus, 1771)"
 ]
}

 The dataset includes 1472 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000341-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e200223
title: Racial Bias in AI-Generated Images

description: This file is supplementary material for the manuscript Racial Bias in AI-Generated Images, which has been submitted to a peer-reviewed journal. This dataset/paper examined the image-to-image generation accuracy (i.e., the original race and gender of a person’s image were replicated in the new AI-generated image) of a Chinese AI-powered image generator. We examined the image-to-image generation models transforming the racial and gender categories of the original photos of White, Black and East Asian people (N =1260) in three different racial photo contexts: a single person, two people of the same race, and two people of different races. There are original images (e.g., WW1), AI-generated images (e.g., AM1_1, AM1_2, AM1_3), and SPSS files (Yang 230801 Racial bias in Meitu_Accuracy Paper.sav) in this dataset.
DOI: 10.3886/e200223v2-169361
title: Racial Bias in AI-Generated Images

description: This file is supplementary material for the manuscript Racial Bias in AI-Generated Images, which has been submitted to a peer-reviewed journal. This dataset/paper examined the image-to-image generation accuracy (i.e., the original race and gender of a person’s image were replicated in the new AI-generated image) of a Chinese AI-powered image generator. We examined the image-to-image generation models transforming the racial and gender categories of the original photos of White, Black and East Asian people (N =1260) in three different racial photo contexts: a single person, two people of the same race, and two people of different races. There are original images (e.g., WW1), AI-generated images (e.g., AM1_1, AM1_2, AM1_3), and SPSS files (Yang 230801 Racial bias in Meitu_Accuracy Paper.sav) in this dataset.