cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.zv2xnv
title: Occurrence Download

description: A dataset containing 444 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((9.88777 51.56459,9.9627 51.56459,9.9627 51.61067,9.88777 51.61067,9.88777 51.56459))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, EN, VU, NT)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 444 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000286-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.px9ryy
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brachiaria arrecta",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000288-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6wdjdq
title: Occurrence Download

description: A dataset containing 581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-11.95469 47.54560,45.32534 47.54560,45.32534 70.42821,-11.95469 70.42821,-11.95469 47.54560))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Harpagoxenus sublaevis"
 ]
}

 The dataset includes 581 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000184-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c8bs3k
title: Occurrence Download

description: A dataset containing 773 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lamium barbatum"
 ]
}

 The dataset includes 773 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000155-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e95avq
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paspalum distichum",
 "Country is Slovenia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000151-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j2jrhw
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paspalum distichum",
 "Country is Serbia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000149-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eqf6nk
title: Occurrence Download

description: A dataset containing 123 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pycnanthus marchalianus"
 ]
}

 The dataset includes 123 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000104-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.29kadr
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Weberbauera arequipa"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000018-250717074847783/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6as6rm
title: Occurrence Download

description: A dataset containing 73821 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Buddleja davidii",
 "Country is Switzerland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 73821 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000014-250717074847783/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e4e8zg
title: Occurrence Download

description: A dataset containing 263277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ukraine",
 "OccurrenceStatus is Present",
 "Year 2024-2024"
 ]
}

 The dataset includes 263277 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000006-250717074847783/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6mdwt6
title: Occurrence Download

description: A dataset containing 9438138 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rubiaceae"
 ]
}

 The dataset includes 9438138 records from 7898 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028075-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17297750
title: Standardised and scalable methods to quantify and characterise MNP in environmental compartments and matrices in the human body (ATHENA)

description: The ATHENA project  - Standardised and scalable methods to quantify and characterise micro- and nanoplastics in environmental compartments and matrices in the human body - was conducted was to strengthen the scientific basis for assessing human health risks of micro- and nanoplastic (MNP) particles. This was achieved by developing and integrating (1) quantitative Quality Assurance/Quality Control (QA/QC) frameworks for literature data, and (2) statistical Probability Density Function (PDF) tools for harmonising heterogeneous exposure and toxicity datasets.

The dataset contains results from large-scale literature screenings and AI-assisted data extraction covering over 7,000 exposure and 1,400 effect publications. Approximately 950 exposure studies (air, food, beverages) and 700 effect studies were retained for scoring. QA/QC criteria (13 for exposure; 18–24 for effect studies) evaluated reporting quality in particle characterisation, contamination control, experimental design, and risk-assessment relevance.

The repository includes:



Processed literature datasets (e.g., Table_S1_Literature Dataset.xlsx, META_SCORE.csv),

AI-extracted data for classification, particles, thresholds, and exposure (Gemini_extracted_*.xlsx, GPT_extracted_*.xlsx),

Validated concentration datasets for air, food, and beverages (Table_S6–S8.xlsx),

Power-law and PDF fitting results (Table_S3_pwr_fitting_result.xlsx),

Prompt files defining the modular AI extraction structure, and

Human validation files (CHECK_87_upload_YODA.xlsx).


Together, these datasets provide a harmonised, quality-ranked foundation for comparing MNP exposure and effect data across media and studies, thereby supporting the first quantitative human health risk assessments for microplastics.
DOI: 10.5281/zenodo.17297751
title: Standardised and scalable methods to quantify and characterise MNP in environmental compartments and matrices in the human body (ATHENA)

description: The ATHENA project  - Standardised and scalable methods to quantify and characterise micro- and nanoplastics in environmental compartments and matrices in the human body - was conducted was to strengthen the scientific basis for assessing human health risks of micro- and nanoplastic (MNP) particles. This was achieved by developing and integrating (1) quantitative Quality Assurance/Quality Control (QA/QC) frameworks for literature data, and (2) statistical Probability Density Function (PDF) tools for harmonising heterogeneous exposure and toxicity datasets.

The dataset contains results from large-scale literature screenings and AI-assisted data extraction covering over 7,000 exposure and 1,400 effect publications. Approximately 950 exposure studies (air, food, beverages) and 700 effect studies were retained for scoring. QA/QC criteria (13 for exposure; 18–24 for effect studies) evaluated reporting quality in particle characterisation, contamination control, experimental design, and risk-assessment relevance.

The repository includes:



Processed literature datasets (e.g., Table_S1_Literature Dataset.xlsx, META_SCORE.csv),

AI-extracted data for classification, particles, thresholds, and exposure (Gemini_extracted_*.xlsx, GPT_extracted_*.xlsx),

Validated concentration datasets for air, food, and beverages (Table_S6–S8.xlsx),

Power-law and PDF fitting results (Table_S3_pwr_fitting_result.xlsx),

Prompt files defining the modular AI extraction structure, and

Human validation files (CHECK_87_upload_YODA.xlsx).


Together, these datasets provide a harmonised, quality-ranked foundation for comparing MNP exposure and effect data across media and studies, thereby supporting the first quantitative human health risk assessments for microplastics.
DOI: 10.17632/hnxp6dckyp
title: Economic Diversity and the Resilience of Cities

description: This folder contains the elements for the replication of the article: "Economic Diversity and the Resilience of Cities" accepted for publication in the Journal of International Economics.
DOI: 10.17632/hnxp6dckyp.1
title: Economic Diversity and the Resilience of Cities

description: This folder contains the elements for the replication of the article: "Economic Diversity and the Resilience of Cities" accepted for publication in the Journal of International Economics.
DOI: 10.15156/bio/sh1391868.10fu
title: SH1391868.10FU

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/sh1391869.10fu
title: SH1391869.10FU

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/sh1391874.10fu
title: SH1391874.10FU

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/sh1391876.10fu
title: SH1391876.10FU

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/sh1391877.10fu
title: SH1391877.10FU

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/sh1391878.10fu
title: SH1391878.10FU

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/sh1391879.10fu
title: SH1391879.10FU

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/sh1391880.10fu
title: SH1391880.10FU

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/sh1391881.10fu
title: SH1391881.10FU

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.5jhy9u
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aristolochia gourigangaica N.C.Nair"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050253-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.74xacs
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parasenecio deltophyllus (Maxim.) Y.L.Chen"
 ]
}

 The dataset includes 77 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060790-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nuh86e
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Telespiza ultima",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086998-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xr6jr9
title: Occurrence Download

description: A dataset containing 164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gonocephalus interruptus Boulenger, 1885)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 164 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052490-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kn3mk5
title: Occurrence Download

description: A dataset containing 18366 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation)",
 "CoordinateUncertaintyInMeters 0.0-3000.0",
 "Geometry POLYGON((-15 30,30 30,30 70,-15 70,-15 30))",
 "OccurrenceStatus is Present",
 "TaxonKey is Catapodium rigidum (L.) C.E.Hubb.",
 "Year 1970-2023"
 ]
}

 The dataset includes 18366 records from 329 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060808-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e3h2na
title: Occurrence Download

description: A dataset containing 2332 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, Canada)",
 "TaxonKey is Camassia leichtlinii (Baker) S.Watson"
 ]
}

 The dataset includes 2332 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050263-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.