cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ggh6mw
title: Occurrence Download

description: A dataset containing 5065 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.01715 10.5532,-74.61055 10.5532,-74.61055 10.72327,-75.01715 10.72327,-75.01715 10.5532))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5065 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031355-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10000724
title: Global Economic Data Analysis (1970-2023)
DOI: 10.15468/dl.kb92qy
title: Occurrence Download

description: A dataset containing 663313 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is one of (Ghana, Burkina Faso)",
 "DatasetKey is one of (EOD – eBird Observation Dataset, Observation.org, Nature data from around the World, iNaturalist Research-grade Observations, Xeno-canto - Bird sounds from around the world, H_GRONINGEN - Western marsh harriers (Circus aeruginosus, Accipitridae) breeding in Groningen (the Netherlands), BOP_RODENT - Rodent specialized birds of prey (Circus, Asio, Buteo) in Flanders (Belgium), Avifauna Occurrences in CREMA Landscape of Ghana, ENI GHANA SHOREBIRD MONITORING FOR THE OCTP PROJECT, naturgucker, LSUMZ Birds Collection)",
 "Geometry POLYGON((-6.04636 4.47961,2.57992 4.47961,2.57992 15.21069,-6.04636 15.21069,-6.04636 4.47961))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EX, EW, CR, EN, VU, NT, LC, DD, NE)",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (e2e717bf-551a-4917-bdc9-4fa0f342c530, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f, 28eb1a3f-1c15-4a95-931a-4af90ecb574d, 1cd669d0-80ea-11de-a9d0-f1765f95f18b, 1f00d75c-f6fc-4224-a595-975e82d7689c, 1d8f8bde-252a-42f1-acee-858b918b8cff, f89e26e2-5e5e-4e76-93da-6275f86ebaf6, bb646dff-a905-4403-a49b-6d378c2cf0d9, c361e830-181e-11da-9544-b8a03c50a862)",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 663313 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031353-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13293685
title: EOL Hierarchy Entries April 2017: Hierarchy Entries April 2017

description: This is a file listing all EOL hierarchy entries along with associated name strings, mapped taxon concept (EOL page ID), richness score of mapped page, and source hierarchy.  Columns in the file:
EOL_ID (taxon concept/page ID)|richness score|scientificName|hierarchy entry ID|	source hierarchy
DOI: 10.5281/zenodo.13293686
title: EOL Hierarchy Entries April 2017: Hierarchy Entries April 2017

description: This is a file listing all EOL hierarchy entries along with associated name strings, mapped taxon concept (EOL page ID), richness score of mapped page, and source hierarchy.  Columns in the file:
EOL_ID (taxon concept/page ID)|richness score|scientificName|hierarchy entry ID|	source hierarchy
DOI: 10.5281/zenodo.13321948
title: Herring, 1987

description: Herring, PJ. 1987. Systematic distribution of bioluminescence in living organisms. Journal of Bioluminescence and Chemiluminescence. 1:147-163
DOI: 10.5281/zenodo.13321949
title: Herring, 1987

description: Herring, PJ. 1987. Systematic distribution of bioluminescence in living organisms. Journal of Bioluminescence and Chemiluminescence. 1:147-163
DOI: 10.5281/zenodo.13321669
title: North American Flora: North American Flora (1st 7 docs)

description: Species descriptions and attribute records extracted from:
North American flora. New York Botanical Garden. "It was planned to complete the Flora in 34 volumes. Some 94 parts of 24 volumes were published at irregular intervals between 1905 and 1949." 
https://www.biodiversitylibrary.org/bibliography/889
DOI: 10.5281/zenodo.13321670
title: North American Flora: North American Flora (1st 7 docs)

description: Species descriptions and attribute records extracted from:
North American flora. New York Botanical Garden. "It was planned to complete the Flora in 34 volumes. Some 94 parts of 24 volumes were published at irregular intervals between 1905 and 1949." 
https://www.biodiversitylibrary.org/bibliography/889
DOI: 10.15468/dl.gaukm3
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Blattella germanica (Linnaeus, 1767)",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 110 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031357-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14212169
title: An Overview of Limnological Studies in Brazilian Fish Farms - Supplementary Material

description: Este repositório contém uma planilha Excel com dados complementares para o artigo "Uma visão geral dos estudos limnológicos nas pisciculturas brasileiras". A planilha inclui informações sobre a qualidade da água e parâmetros limnológicos observados em pisciculturas no Brasil, conforme discutido no artigo. Os dados abrangem variáveis como temperatura, pH, oxigênio dissolvido, entre outras, coletadas em diversas pisciculturas espalhadas pelo país.
DOI: 10.5281/zenodo.14212170
title: An Overview of Limnological Studies in Brazilian Fish Farms - Supplementary Material

description: Este repositório contém uma planilha Excel com dados complementares para o artigo "Uma visão geral dos estudos limnológicos nas pisciculturas brasileiras". A planilha inclui informações sobre a qualidade da água e parâmetros limnológicos observados em pisciculturas no Brasil, conforme discutido no artigo. Os dados abrangem variáveis como temperatura, pH, oxigênio dissolvido, entre outras, coletadas em diversas pisciculturas espalhadas pelo país.
DOI: 10.15468/dl.jkwmq3
title: Occurrence Download

description: A dataset containing 2809 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "TaxonKey is Morimus asper (Sulzer, 1776)"
 ]
}

 The dataset includes 2809 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031358-241107131044228/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.27891285
title: Differential methylation in blood pressure control genes is associated to Essential Hypertension in African Brazilian Populations. Raw data (idat files, 850K v1. Illumina) and metadata.

description: <b>Study description</b>Genetic studies have shed light on essential hypertension (EH), defined as high blood pressure (≥140/90 mmHg), but gaps in understanding its heritability remain. Epigenetic research offers a promising avenue to bridge these gaps. This study focused on African Brazilian populations from the Vale do Ribeira River region, known for a high prevalence of hypertension. We investigated whether DNA methylation is associated with hypertension susceptibility through a genome-wide analysis of 80 peripheral blood samples, including normotensive (39) and hypertensive (41) individuals, using the Infinium Methylation EPIC BeadChip platform.<b>Dataset description</b>This dataset contains genome-wide DNA methylation data generated from 80 samples (human; Homo sapiens), including normotensive (39) and hypertensive (41) individuals, originating from peripheral blood.Blood samples were processed for DNA extraction using standard salt-extraction protocols or automated systems, including the Autopure LS (Gentra Systems) and the QIAsymphony DNA Midi Kit (96) (Qiagen, Venlo Limburg, Netherlands). The extracted DNA was then treated with sodium bisulfite using the EZ DNA Methylation Kit (Zymo Research, Freiburg, Germany) to prepare it for downstream methylation analysis. Hybridization was carried out using the Infinium MethylationEPIC v1 BeadChip Kit (Illumina®, San Diego, California, USA). The processed samples were then scanned with the HiScanSQ system. This metadata record contains information about the raw idat files generated from the Infinium DNA methylation arrays. The raw idat files along with an annotation file will be made available upon request.<b>Terms for access</b>The DNA methylation dataset is only to be used for research that is seeking to advance the understanding of the influence of epigenetic factors on Essential Hypertension etiology and biology.The data should not be used for other purposes, i.e. investigating the epigenetic signatures that may lead to identification of a person.<br>
DOI: 10.5281/zenodo.13251070
title: EOL Dynamic Hierarchy: EOL Dynamic Hierarchy Active Version

description: Dynamic Hierarchy version that is currently active on the EOL site. 

The Encyclopedia of Life (EOL, eol.org) aggregates biodiversity information from more than 400 sources and provides access to the data through taxon pages, visual query and application programming interfaces. Scientific names are essential elements of the data integration infrastructure, but their shortcomings as key identifiers are well documented. Complex automated workflows and continuous manual curation are required to address idiosyncrasies of source taxonomies, variation in data quality, and conflicting taxonomic opinions. To achieve a harmonized taxonomic view of EOL content, names from data sources are mapped to a dynamic reference hierarchy using an algorithm that leverages canonical name strings, hierarchical information (ancestry, descendants), taxonomic ranks, synonym data, and author strings. Names that cannot be associated with a reference taxon are still accessible, but their unmapped status excludes them and any associated content from certain core EOL functions. For more information about the EOL taxonomy, see EOL Dynamic Hierarchy
DOI: 10.5281/zenodo.13251071
title: EOL Dynamic Hierarchy: EOL Dynamic Hierarchy Active Version

description: Currently active Dynamic Hierarchy and archived versions.  For more information, see: https://eol.org/docs/eol-dynamic-hierarchy
description: Dynamic Hierarchy version that is currently active on the [EOL site](http://eol.org/ "Encyclopedia of Life")
The Encyclopedia of Life (EOL, eol.org) aggregates biodiversity information from more than 400 sources and provides access to the data through taxon pages, visual query and application programming interfaces. Scientific names are essential elements of the data integration infrastructure, but their shortcomings as key identifiers are well documented (Patterson et al., 2016). Complex automated workflows and continuous manual curation are required to address idiosyncrasies of source taxonomies, variation in data quality, and conflicting taxonomic opinions. 

To achieve a harmonized taxonomic view of EOL content, names from data sources are mapped to a dynamic reference hierarchy ([see current version here](https://opendata.eol.org/dataset/tram-807-808-809-810-dh-v1-1/resource/00adb47b-57ed-4f6b-8f66-83bfdb5120e8)) using an algorithm that leverages canonical name strings, hierarchical information (ancestry, descendants), taxonomic ranks, synonym data, and author strings. Names that cannot be associated with a reference taxon are still accessible, but their unmapped status excludes them and any associated content from certain core EOL functions.

For more information about the EOL taxonomy, see [EOL Dynamic Hierarchy](https://eol.org/docs/eol-dynamic-hierarchy)
DOI: 10.5281/zenodo.13283204
title: EOL Dynamic Hierarchy: EOL Dynamic Hierarchy Active Version

description: Dynamic Hierarchy version that is currently active on the EOL site. 

The Encyclopedia of Life (EOL, eol.org) aggregates biodiversity information from more than 400 sources and provides access to the data through taxon pages, visual query and application programming interfaces. Scientific names are essential elements of the data integration infrastructure, but their shortcomings as key identifiers are well documented. Complex automated workflows and continuous manual curation are required to address idiosyncrasies of source taxonomies, variation in data quality, and conflicting taxonomic opinions. To achieve a harmonized taxonomic view of EOL content, names from data sources are mapped to a dynamic reference hierarchy using an algorithm that leverages canonical name strings, hierarchical information (ancestry, descendants), taxonomic ranks, synonym data, and author strings. Names that cannot be associated with a reference taxon are still accessible, but their unmapped status excludes them and any associated content from certain core EOL functions. For more information about the EOL taxonomy, see EOL Dynamic Hierarchy
DOI: 10.5281/zenodo.13321874
title: Radiolaria

description: Radiolaria.org is a comprehensive, online database containing a wide range of information about living and fossil radiolarians, from e.g. what radiolarians are to more specific pages with taxonomic data (descriptions, images, synonyms and references), species distribution and links to other online resources. It has an extensive radiolarian bibliography (with several thousand references) and a large archive of plates/publications. Radiolaria.org was made by and for the radiolarian community and enables researchers to communicate and discuss. It is also the official site for InterRad (the international association of radiolarian paleontologists).   http://radiolaria.org
DOI: 10.5281/zenodo.13321875
title: Radiolaria

description: Radiolaria.org is a comprehensive, online database containing a wide range of information about living and fossil radiolarians, from e.g. what radiolarians are to more specific pages with taxonomic data (descriptions, images, synonyms and references), species distribution and links to other online resources. It has an extensive radiolarian bibliography (with several thousand references) and a large archive of plates/publications. Radiolaria.org was made by and for the radiolarian community and enables researchers to communicate and discuss. It is also the official site for InterRad (the international association of radiolarian paleontologists).   http://radiolaria.org
DOI: 10.15156/bio/sh0206754.10fu
title: SH0206754.10FU

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/sh0206755.10fu
title: SH0206755.10FU

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/sh0206756.10fu
title: SH0206756.10FU

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/sh0206757.10fu
title: SH0206757.10FU

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/sh0206758.10fu
title: SH0206758.10FU

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/sh0206759.10fu
title: SH0206759.10FU

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/sh0206760.10fu
title: SH0206760.10FU

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/sh0206761.10fu
title: SH0206761.10FU

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.