cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0184870.10fu
title: SH0184870.10FU

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/sh0184871.10fu
title: SH0184871.10FU

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/sh0184872.10fu
title: SH0184872.10FU

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/sh0184873.10fu
title: SH0184873.10FU

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/sh0184874.10fu
title: SH0184874.10FU

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/sh0184875.10fu
title: SH0184875.10FU

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/sh0184876.10fu
title: SH0184876.10FU

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/sh0184877.10fu
title: SH0184877.10FU

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/sh0184878.10fu
title: SH0184878.10FU

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/sh0184879.10fu
title: SH0184879.10FU

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.15180698
title: A Targeted Dataset for AI-Enhanced Diabetes Care Communication

description: This dataset contains anonymized doctor-patient consultation records collected from a widely used online telemedicine platform in China. It is specifically curated for natural language processing (NLP) applications in the healthcare domain, particularly focusing on diabetes-related medical dialogues.

The dataset has been carefully segmented, translated, and organized into two main components:

1. original_txt.zip





Contains 19 individual .txt files named part_1.txt through part_19.txt.




Each file includes 1,000 real-world consultation threads in Chinese, with structured multi-turn dialogues between patients and doctors.




All entries follow a consistent format, segmented by markers such as id=xxx, to facilitate automated parsing and processing.




Personally identifiable information (PII) has been strictly removed to ensure privacy.



2. translated_txt.zip





Contains the English-translated versions of each corresponding file in original_txt.zip, following a one-to-one mapping (part_1_english.txt, part_2_english.txt, etc.).




Translation was performed using Google Translate (via googletrans library), preserving the original structure, labeling, and dialogue format for each entry.




These English versions enable broader accessibility and cross-linguistic research.
DOI: 10.5281/zenodo.15180699
title: A Targeted Dataset for AI-Enhanced Diabetes Care Communication

description: This dataset contains anonymized doctor-patient consultation pairs collected from an online platform in China
DOI: 10.5281/zenodo.15201464
title: A Targeted Dataset for AI-Enhanced Diabetes Care Communication

description: This dataset contains anonymized doctor-patient consultation records collected from a widely used online telemedicine platform in China. It is specifically curated for natural language processing (NLP) applications in the healthcare domain, particularly focusing on diabetes-related medical dialogues.

The dataset has been carefully segmented, translated, and organized into two main components:

1. original_txt.zip





Contains 19 individual .txt files named part_1.txt through part_19.txt.




Each file includes 1,000 real-world consultation threads in Chinese, with structured multi-turn dialogues between patients and doctors.




All entries follow a consistent format, segmented by markers such as id=xxx, to facilitate automated parsing and processing.




Personally identifiable information (PII) has been strictly removed to ensure privacy.



2. translated_txt.zip





Contains the English-translated versions of each corresponding file in original_txt.zip, following a one-to-one mapping (part_1_english.txt, part_2_english.txt, etc.).




Translation was performed using Google Translate (via googletrans library), preserving the original structure, labeling, and dialogue format for each entry.




These English versions enable broader accessibility and cross-linguistic research.
DOI: 10.5281/zenodo.15201853
title: A Targeted Dataset for AI-Enhanced Diabetes Care Communication

description: This dataset contains anonymized doctor-patient consultation records collected from a widely used online telemedicine platform in China. It is specifically curated for natural language processing (NLP) applications in the healthcare domain, particularly focusing on diabetes-related medical dialogues.

The dataset has been carefully segmented, translated, and organized into two main components:

1. original_txt.zip





Contains 19 individual .txt files named part_1.txt through part_19.txt.




Each file includes 1,000 real-world consultation threads in Chinese, with structured multi-turn dialogues between patients and doctors.




All entries follow a consistent format, segmented by markers such as id=xxx, to facilitate automated parsing and processing.




Personally identifiable information (PII) has been strictly removed to ensure privacy.



2. translated_txt.zip





Contains the English-translated versions of each corresponding file in original_txt.zip, following a one-to-one mapping (part_1_english.txt, part_2_english.txt, etc.).




Translation was performed using Google Translate (via googletrans library), preserving the original structure, labeling, and dialogue format for each entry.




These English versions enable broader accessibility and cross-linguistic research.
DOI: 10.15468/dl.37cwgq
title: Occurrence Download

description: A dataset containing 505339 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is SLU Aqua Institute of Freshwater Research Swedish Electrofishing Registry - SERS"
 ]
}

 The dataset includes 505339 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019240-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ewrnkj
title: Occurrence Download

description: A dataset containing 513822 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Naturalis Biodiversity Center (NL) - Paleontology"
 ]
}

 The dataset includes 513822 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019237-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v8zk6j
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((-103 -26,106 -26,106 28,-103 28,-103 -26))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Actinodaphne trichocarpa C.K.Allen"
 ]
}

 The dataset includes 18 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019244-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nr8rts
title: Occurrence Download

description: A dataset containing 511417 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is All taxa records for Leicestershire and Rutland"
 ]
}

 The dataset includes 511417 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019238-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.21742.13123
title: QUESTIONNAIRE SURVEY FOR LOCAL VIETNAMESE HOUSEHOLDS REGARDING TO INFLUENCES FROM AGRICULTURAL WAY OF LIFE TO AGRO-TOURIST'S PATICIPATION IN TRA QUE VEGETABLE VILLAGE, HOI AN CITY, QUANG NAM PROVINCE, VIETNAM
DOI: 10.13140/rg.2.2.16923.59687
title: Greatest Indian Army Strategic Failure of 1948 Kashmir war-TITHWAL
DOI: 10.15468/dl.7wz323
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Insecta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-15 -7.5,-7.5 -7.5,-7.5 0,-15 0,-15 -7.5))"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041858-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.23975.06563
title: Correlation chart of Sarchahan Formation
DOI: 10.13140/rg.2.2.36453.32488
title: Hind Hadi
DOI: 10.15468/dl.9xprmy
title: Occurrence Download

description: A dataset containing 7155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Insecta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((45 22.5,52.5 22.5,52.5 30,45 30,45 22.5))"
 ]
}

 The dataset includes 7155 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041859-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hbj8m9
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Priocnemis azumai Lelej, 1992",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0222058-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sjwsqp
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Telmatobius colanensis Wiens, 1993"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0246578-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zq4xjf
title: Occurrence Download

description: A dataset containing 657 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.20_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Marmosa mexicana Merriam, 1897, Didelphimorphia)"
 ]
}

 The dataset includes 657 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0224163-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tzkt63
title: Occurrence Download

description: A dataset containing 285 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pelidnota prasina Burmeister, 1844"
 ]
}

 The dataset includes 285 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0232718-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x5fznz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Metopius hakiensis Matsumura, 1912",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0222075-220831081235567/datasets/export for details.
DOI: 10.15468/dl.v5vqws
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ESP.4_1",
 "Geometry POLYGON((-19.65100 34.34315,8.65100 34.34315,8.65100 45.65685,-19.65100 45.65685,-19.65100 34.34315))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidium cardamines L."
 ]
}

 The dataset includes 174 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007549-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bb4k3u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spilonota melanocopa (Meyrick, 1912)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0222081-220831081235567/datasets/export for details.