cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.exxu55
title: Occurrence Download

description: A dataset containing 1984 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myotis volans interior Miller, 1914"
 ]
}

 The dataset includes 1984 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0228684-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x35a3a
title: Occurrence Download

description: A dataset containing 3054 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((34.8047 75.11717,-5.50781 69.49218,-18.63278 53.55469,0.58595 30.58592,67.14847 13.71092,119.64847 13.71094,241.05469 11.36718,291.67969 16.99218,328.71099 26.83593,319.33597 69.49217,262.6172 73.71092,186.21094 68.08592,123.86722 62.92969,34.8047 75.11717))",
 "OccurrenceStatus is Present",
 "TaxonKey is Thermopsis R.Br."
 ]
}

 The dataset includes 3054 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0304773-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zfwgf4
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pandanus barkleyi Balf.f."
 ]
}

 The dataset includes 18 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083948-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p5tcsy
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oenothera sinuosa W.L.Wagner & Hoch",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 155 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0155058-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kx6jue
title: Occurrence Download

description: A dataset containing 2379 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Betula ermanii Cham.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2379 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0180563-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mj8vmq
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thymus leucotrichus Halácsy",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 85 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0236850-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nw6ect
title: Occurrence Download

description: A dataset containing 914 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cotoneaster laxiflorus (J.Jacq.) Lindl.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 914 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0294379-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nuqea7
title: Occurrence Download

description: A dataset containing 281 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silene bupleuroides L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 281 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0288585-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nfut7f
title: Occurrence Download

description: A dataset containing 12653 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stuckenia filiformis (Pers.) Börner",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12653 records from 185 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0287864-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.782d9a
title: Occurrence Download

description: A dataset containing 8280 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Spinacia oleracea L., Spinacia oleracea var. subspontanea Girenko, Spinacia oleracea var. heinemannii Alef., Spinacia oleracea var. erfurtensis Alef., Spinacia oleracea subsp. orientalis Girenko, Spinacia oleracea subsp. oleracea, Spinacia oleracea var. helvetica Alef., Spinacia oleracea var. tetrandra (Steven ex M.Bieb.) Alef., Spinacia oleracea var. hyemalis Alef., Spinacia oleracea var. gaudinii Alef., Spinacia oleracea var. moenchii Alef., Spinacia oleracea subsp. inermis (Moench) Celak., Spinacia oleracea subsp. inermis (Moench) Schübl. & G.Martens, Spinacia oleracea var. inermis (Moench) Schltdl., Spinacia oleracea var. bullata Girenko, Spinacia oleracea subsp. spinosa Arcang., Spinacia oleracea var. spinosa (Moench) Peterm., Spinacia oleracea subsp. spinosa (Moench) Celak., Spinacia oleracea subsp. spinosa (Moench) Schübl. & G.Martens, Spinacia oleracea f. inermis (Moench) Lindm., Spinacia oleracea var. inermis (Moench) Peterm., Spinacia oleracea var. spinosa (Moench) Schltdl., Spinacia oleracea subsp. inermis Arcang., Spinacia oleracea var. laevis Nois., Spinacia oleracea var. glabra (Mill.) Gürke, Spinacia oleracea var. kochii Alef., Spinacia oleracea subsp. glabra (Mill.) Cout., Spinacia oleracea subsp. turkestanica (Iljin) Del Guacchio & P.Caputo, Spinacia oleracea f. spinosa (Moench) Lindm.)"
 ]
}

 The dataset includes 8280 records from 340 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083946-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.khjght
title: Occurrence Download

description: A dataset containing 26071 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leersia oryzoides (L.) Sw.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 26071 records from 373 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0300912-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmn4hy
title: Occurrence Download

description: A dataset containing 1168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rubus fasciculatiformis H.E.Weber",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1168 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0290834-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6p3sns
title: Occurrence Download

description: A dataset containing 302 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Harrisia bonplandii (J.Parm. ex Pfeiff.) Britton & Rose)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 302 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083949-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18453/rosdok_id00003282
title: Data set for Topological triple phase transition in non-Hermitian Floquet quasicrystals
DOI: 10.15468/dl.jpnryu
title: Occurrence Download

description: A dataset containing 6969 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Juncus castaneus Sm.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6969 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0301394-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kh2wvw
title: Occurrence Download

description: A dataset containing 11305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bromus squarrosus L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11305 records from 223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0290165-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mgwqmx
title: Occurrence Download

description: A dataset containing 835 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Taraxacum trilobatum Palmgr.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 835 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0287613-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kpu6wd
title: Occurrence Download

description: A dataset containing 19001 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cirsium tuberosum (L.) All.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 19001 records from 159 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0258705-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0166106.10fu
title: SH0166106.10FU

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/sh0166107.10fu
title: SH0166107.10FU

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: 10.17632/k3xtwnzpyn
title: iPSC-CD4 generation and characterization

description: Raw fastq files from all samples were aligned and quantified using CellRanger (CellRanger 6.0.1) and aligned with the human genome reference hg38. Following the suggested pipeline for quality control in Scanpy (v 1.10.2), CITE-seq data were filtered for dead cells, doublets, and red blood cells by excluding cells with greater than 5% mitochondrial genes and less than 1000, but no more than 30000 genes. Genes found in less than 3 cells were removed. Samples underwent normalization, scaling, dimensional reduction, and further downstream analysis using the standard Scanpy workflow. Leiden clustering was performed using 50 principal components and a resolution of 0.5. Cells were clustered and identified based on known marker genes.
DOI: 10.15156/bio/sh0166108.10fu
title: SH0166108.10FU

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: 10.17632/k3xtwnzpyn.2
title: iPSC-CD4 generation and characterization

description: Raw fastq files from all samples were aligned and quantified using CellRanger (CellRanger 6.0.1) and aligned with the human genome reference hg38. Following the suggested pipeline for quality control in Scanpy (v 1.10.2), CITE-seq data were filtered for dead cells, doublets, and red blood cells by excluding cells with greater than 5% mitochondrial genes and less than 1000, but no more than 30000 genes. Genes found in less than 3 cells were removed. Samples underwent normalization, scaling, dimensional reduction, and further downstream analysis using the standard Scanpy workflow. Leiden clustering was performed using 50 principal components and a resolution of 0.5. Cells were clustered and identified based on known marker genes.
DOI: 10.15156/bio/sh0166109.10fu
title: SH0166109.10FU

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/sh0166110.10fu
title: SH0166110.10FU

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/sh0166111.10fu
title: SH0166111.10FU

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/sh0166112.10fu
title: SH0166112.10FU

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: 10.17632/rb5btzc8kh
title: Toxicity Detection Dataset in Twi Language

description: This dataset contains 2,001 text entries labeled for toxicity classification. Each entry represents a user-generated comment along with an assigned toxicity label. The dataset is structured into two columns:

COMMENT– A text field containing comments written primarily in Akan (Twi). These comments include expressions of gratitude, feedback, conversational messages, and general communication typical of social or online interactions.
LABEL– A categorical variable indicating whether the comment is 'toxic' or 'non-toxic'.
Current labels present in the dataset: 'non-toxic' (and any others present in the full file, if applicable).
Key Features:
• Total records: 2,001
• Language: Primarily Akan (Twi)
• Classification type: Binary toxicity classification
There are no missing values (both columns have 2,001 non-null entries)
Data types: ‘COMMENT’: string and ‘LABEL’`: string
This dataset can support research in:
• Toxic language detection in low-resource languages
• Natural Language Processing (NLP) for African languages
• Machine learning model training for text classification
• Sociolinguistic analysis of online conversational content
The File Format is CSV file: Toxicity_dataset.csv
It contains two columns: 'COMMENT' and ‘LABEL'
DOI: 10.15156/bio/sh0166113.10fu
title: SH0166113.10FU

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: 10.17632/rb5btzc8kh.1
title: Toxicity Detection Dataset in Twi Language

description: This dataset contains 2,001 text entries labeled for toxicity classification. Each entry represents a user-generated comment along with an assigned toxicity label. The dataset is structured into two columns:

COMMENT– A text field containing comments written primarily in Akan (Twi). These comments include expressions of gratitude, feedback, conversational messages, and general communication typical of social or online interactions.
LABEL– A categorical variable indicating whether the comment is 'toxic' or 'non-toxic'.
Current labels present in the dataset: 'non-toxic' (and any others present in the full file, if applicable).
Key Features:
• Total records: 2,001
• Language: Primarily Akan (Twi)
• Classification type: Binary toxicity classification
There are no missing values (both columns have 2,001 non-null entries)
Data types: ‘COMMENT’: string and ‘LABEL’`: string
This dataset can support research in:
• Toxic language detection in low-resource languages
• Natural Language Processing (NLP) for African languages
• Machine learning model training for text classification
• Sociolinguistic analysis of online conversational content
The File Format is CSV file: Toxicity_dataset.csv
It contains two columns: 'COMMENT' and ‘LABEL'