cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57761/fqtr-yz40
title: Historic US Census - 1860

description: This dataset includes all individuals from the 1860 US census.
description: #Before Manuscript Submission  
**All manuscripts** (and other items you'd like to publish) **must be submitted to**

**phsdatacore@stanford.edu** for approval prior to journal submission.



We will check your cell sizes and citations.

For more information about how to cite PHS and PHS datasets, please visit:

https:/phsdocs.developerhub.io/need-help/citing-phs-data-core


description: #Documentation  


This dataset was developed through a collaboration between the Minnesota Population Center and the Church of Jesus Christ of Latter-Day Saints. The data contain demographic variables, economic variables, migration variables and race variables. Unlike more recent census datasets, pre-1900 census datasets only contain individual level characteristics and no household or family characteristics, but household and family identifiers do exist.



The official enumeration day of the 1860 census was 1 June 1860. The main goal of an early census like the 1860 U.S. census was to allow Congress to determine the collection of taxes and the appropriation of seats in the House of Representatives. Each district was assigned a U.S. Marshall who organized other marshals to administer the census. These enumerators visited households and recorder names of every person, along with their age, sex, color, profession, occupation, value of real estate, place of birth, parental foreign birth, marriage, literacy, and whether deaf, dumb, blind, insane or “idiotic”.



Sources: Szucs, L.D. and Hargreaves Luebking, S. (1997). Research in Census Records, The Source: A Guidebook of American Genealogy. Ancestry Incorporated, Salt Lake City, UT Dollarhide, W.(2000). The Census Book: A Genealogist’s Guide to Federal Census Facts, Schedules and Indexes. Heritage Quest, Bountiful, UT
DOI: 10.57761/2cgm-n546
title: PI Requirements (SU)

description: This is not a dataset. These are the PHS requirements for being a PI using PHS high risk data.
description: #Documentation  
The requirements for PIs for research on PHS data are:

1\. Complete the PHS Membership form on the PHS portal including linking your ORCID and posting a publication list.

2\. You must be a Stanford faculty to be the PI of a study for many PHS datasets.

3\. Watch and complete the short answer question for the PHS Data Security Training (Training - PHS Data Security).

4\. Complete the Conflict of Interest Attestation (Attestation - COI)

5\. Read the term sheet for any dataset your team is using. They can provide you with this, but you are responsible for knowing its content including the price to use the data (if applicable) and cell size supression policies. Many datasets have unusual restrictions on what can be published. For example, MarketScan requires certain regions be aggregated.



Four minute video with instructions here: [PI Requirement Video](<https://drive.google.com/file/d/14fEAh1wwDqvXWpdFa6w4IytoOZQ35clL/view?usp=sharing>)
DOI: 10.57761/7b9t-qw35
title: J-PAL

description: The Abdul Latif Jameel Poverty Action Lab (J-PAL) is a global research center working to reduce poverty by ensuring that policy is informed by scientific evidence.
description: #Documentation  
The Abdul Latif Jameel Poverty Action Lab (J-PAL) is a global research center working to reduce poverty by ensuring that policy is informed by scientific evidence. Anchored by a network of 171 affiliated professors at universities around the world, J-PAL conducts randomized impact evaluations to answer critical questions in the fight against poverty.
DOI: 10.57761/fky9-4r37
title: RECETOX

description: Research Centre for Toxic Compounds in the Environment (RECETOX)
description: #Documentation  
Research Centre for Toxic Compounds in the Environment Centre is an independent department at Faculty of Science, Masaryk University, with its own research and development, educational programmes and expert activities within the field of environmental contamination. Centre focuses on persistent organic pollutants (POPs), polar organic compounds, toxic metals and their species and natural toxins - cyanotoxins.



Scientific activities of the Centre are carried out in twelve working groups collaborating within the framework of four research programmes:



- 
- Environmental chemistry and modeling
- 
- Organic photochemistry and supramolecular chemistry
- 
- Protein engineering
- 
- Ecotoxicology
- 

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DOI: 10.15468/dl.5wzavy
title: Occurrence Download

description: A dataset containing 77075 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is CABI Africa Invasive and Alien Species data"
 ]
}

 The dataset includes 77075 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012489-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uhwf73
title: Occurrence Download

description: A dataset containing 2006 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Panthera onca (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2006 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033070-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cw75wg
title: Occurrence Download

description: A dataset containing 2462 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Undaria pinnatifida (Harv.) Suringar"
 ]
}

 The dataset includes 2462 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0158689-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e8uqun
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ferula baluchistanica Kitam."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004700-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v3u9ni
title: Occurrence Download

description: A dataset containing 222 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "RecordedBy is zheleznova g.v.",
 "RecordedBy is zheleznova g.v., kildyushevskij i.d.",
 "RecordedBy is zheleznova g.v., kildyushevskij i.d., frolova v.a.",
 "RecordedBy is zheleznova g.v., kustysheva a.a.",
 "RecordedBy is zheleznova g.v., shubina t.p."
 ]
 },
 "TaxonKey is Sphagnum girgensohnii Russow"
 ]
}

 The dataset includes 222 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033071-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dnvzqv
title: Occurrence Download

description: A dataset containing 88439 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potentilla indica (Andrews) Th.Wolf",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 88439 records from 643 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004725-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a34nfh
title: Occurrence Download

description: A dataset containing 9873 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Polypleurum dichotomum (Gardner) J.B.Hall, Polypleurum disciforme C.J.Mathew & Nileena, Polypleurum elongatum (Gardner) J.B.Hall, Polypleurum erectum M.Kato, Polypleurum filifolium (Ramam. & J.Joseph) A.S.Rao & Hajra, Polypleurum insulare M.Kato & Koi, Polypleurum longicaule M.Kato, Polypleurum longifolium M.Kato, Polypleurum longistylosum M.Kato, Polypleurum phuwuaense M.Kato, Polypleurum prachinburiense M.Kato & Koi, Polypleurum prostratum C.J.Mathew & Nileena, Polypleurum sisaketense M.Kato & Koi, Polypleurum stylosum (Wight) J.B.Hall, Polypleurum wallichii (R.Br. ex Griff.) Warm., Polypleurum wongprasertii M.Kato, Pontederia cordata L., Pontederia parviflora Alexander, Pontederia rotundifolia L.f., Pontederia sagittata C.Presl, Pontederia subovata (Seub.) Lowden, Pontederia triflora (Seub.) G.Agostini, D.Velázquez & J.Velásquez, Porterella carnosula (Hook. & Arn.) Torr.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation, Material sample, Literature Occurrence, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 9873 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0181141-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yvgfct
title: Occurrence Download

description: A dataset containing 128379 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium pilosella L."
 ]
}

 The dataset includes 128379 records from 366 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033073-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hq8b5w
title: Occurrence Download

description: A dataset containing 10864 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oreochromis mossambicus (Peters, 1852)"
 ]
}

 The dataset includes 10864 records from 163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004739-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k4jxtc
title: Occurrence Download

description: A dataset listing the 201 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección de mamíferos de la Universidad del Valle"
 ]
}

 The dataset's 201 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0185759-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4aw0sb
title: Occurrence Download

description: A dataset containing 1969 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Galemys pyrenaicus (É.Geoffroy Saint-Hilaire, 1811)"
 ]
}

 The dataset includes 1969 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033078-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.63bd4p
title: Occurrence Download

description: A dataset containing 11005 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gentiana alpina Vill."
 ]
}

 The dataset includes 11005 records from 191 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004705-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17455288
title: Data for Converting Donor Dependence to Domestic Ownership: The Realignment of Tuberculosis Financing for Sustainability

description: This project contains the following underlying data:

·  Graphs for TB financing sustainability analysis.xlsx (spreadsheets used to generate graphs on TB financing sustainability)

·  tb_funding_analysis.xlsx (spreadsheets used to generate Table 1 on TB financing sustainability)

·  IMF - WoRLD 2024 data.xlsx (original source data from the International Monetary Fund (IMF)) 

·  WHO_TB_expenditure_utilisation_2025-10-27.xlsx (original source data on TB from the World Health Organization (WHO))

·  World Bank GNI Data 7.1.25.xlsx (original source data from the World Bank)

WHO_GHED_data.xlsx (original source data on health expenditure from the WHO)
DOI: 10.5281/zenodo.17455287
title: Data for Converting Donor Dependence to Domestic Ownership: The Realignment of Tuberculosis Financing for Sustainability

description: This project contains the following underlying data:

·  Graphs for TB financing sustainability analysis.xlsx (spreadsheets used to generate graphs on TB financing sustainability)

·  tb_funding_analysis.xlsx (spreadsheets used to generate Table 1 on TB financing sustainability)

·  IMF - WoRLD 2024 data.xlsx (original source data from the International Monetary Fund (IMF)) 

·  WHO_TB_expenditure_utilisation_2025-10-27.xlsx (original source data on TB from the World Health Organization (WHO))

·  World Bank GNI Data 7.1.25.xlsx (original source data from the World Bank)

WHO_GHED_data.xlsx (original source data on health expenditure from the WHO)
DOI: 10.15468/dl.y5ncj9
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((25.74669 36.15568,45.29585 36.15227,45.88369 42.52946,26.13393 42.26964,25.6954 42.45782,25.74669 36.15568))",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhamnus alaternus"
 ]
}

 The dataset includes 102 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002624-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e9jek2
title: Occurrence Download

description: A dataset listing the 266205 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is one of (Sweden, Norway, Finland, Denmark, Iceland)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 266205 records were derived from 3629 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002606-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1098928.10fu
title: SH1098928.10FU

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/sh1098929.10fu
title: SH1098929.10FU

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/sh1098930.10fu
title: SH1098930.10FU

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/sh1098933.10fu
title: SH1098933.10FU

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/sh1098936.10fu
title: SH1098936.10FU

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/sh1098937.10fu
title: SH1098937.10FU

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/sh1098938.10fu
title: SH1098938.10FU

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/sh1098939.10fu
title: SH1098939.10FU

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.