cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.wt3xmv
title: Occurrence Download

description: A dataset containing 909119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is South Africa",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "Year 2020-2022"
 ]
}

 The dataset includes 909119 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055134-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jhekg0
title: Occurrence Download

description: A dataset containing 153 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eugenia florida DC.",
 "Country is Colombia"
 ]
}

 The dataset includes 153 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003311-160509122628363/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x5vkq4
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Opistophthalmus adustus Kraepelin, 1908"
 ]
}

 The dataset includes 34 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054737-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bil8be
title: Occurrence Download

description: A dataset containing 6235 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ophrys lutea Gouan, 1793"
 ]
}

 The dataset includes 6235 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003311-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ka2whm
title: Occurrence Download

description: A dataset containing 1004 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Myrothamnaceae"
 ]
}

 The dataset includes 1004 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054049-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3pbrpb
title: Occurrence Download

description: A dataset containing 548474 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ireland, United Kingdom of Great Britain and Northern Ireland, Portugal, Spain, France, Germany, Belgium, Netherlands, Italy, Greece, Denmark, Norway, Sweden, Finland, Svalbard and Jan Mayen, Estonia, Latvia, Lithuania, Türkiye, Russian Federation, Belarus, Ukraine, Moldova, Republic of, Switzerland, Austria, Poland, Czechia, Hungary, Slovakia, Romania, Bulgaria, Kazakhstan, Armenia, North Macedonia, Albania, Serbia, Montenegro, Kosovo, Bosnia and Herzegovina, Croatia, Slovenia, Cyprus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Galium verum L."
 ]
}

 The dataset includes 548474 records from 2073 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000530-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr22408.v1
title: National Survey of Adolescents, 2004: Burkina Faso
title: Version 1

description: The National Survey Adolescents was launched in 2004 in four Sub-Saharan African countries--Burkina Faso, Ghana, Malawi, and Uganda--to provide detailed information on adolescent risk-taking and health-seeking behavior as related to HIV, STDs and unintended pregnancy. The study examined a range of factors (e.g., behavioral, sociocultural, economic) that could lead to increased vulnerability to risk. The study also encompassed knowledge of means of prevention, sources of trusted information and health care, and impediments to adolescents' abilities to apply their knowledge and take preventive action. The survey in Burkina Faso was administered between April and June 2004. Using a two-stage stratified sample design that selected households from rural and urban clusters, 5,400 households were listed for initial screening. After an initial interview in each household, individual surveys were administered in person to adolescents between the ages of 12 and 19 who were de facto or de jure members of the household. This process collected 6,489 individual interviews with adolescents. Because of the sensitive nature of questions administered in the survey, informed consent forms were obtained from both parents/guardians and the respondents, and in all possible instances interviewers and respondents were paired by gender.
description: The individual case file has two weighting variables. The sample weight is "qweight" and is used for all respondents. If "qweight"=0, the case should not be included in analysis either because of incomplete data or possible redundancy. Before use with the data, the sample weight (qweight) should be divided by 1,000,000 before applying the weighting factor. The weight, "qwgt12", is a weight for respondents who also were selected for and answered Section 12 questions, since only one eligible adolescent per household was selected for those sensitive questions. When examining Section 12 questions, use only "qwgt12". Before using "qwgt12", it must also be divided by 1,000,000.
description: Response Rates: The overall response rate was 95.2 percent.
description: Between April 2004 and June 2004 a two-stage cluster sample of 5,400 households were visited, from which a sample of 6,489 eligible adolescents were interviewed. Only adolescents that were de facto or de jure members of the household and between the ages of 12 and 19 were considered eligible.
description: Datasets: 
DS0: Study-Level Files
DS1: Individual Record
DS2: Household Record
description: All adolescents between the ages of 12 and 19 in Burkina Faso. Smallest Geographic Unit: Administrative region
description: face-to-face interview
DOI: 10.3886/icpsr09706.v2
title: National Health Interview Survey, 1976: Health Insurance Supplement
title: Version 2

description: The purpose of the National Health Interview Survey (NHIS)
is to obtain information about the amount and distribution of illness,
its effects in terms of disability and chronic impairments, and the
kinds of health services people receive. The 1976 Health Insurance
Supplement provides variables from the core Person File (see HEALTH
INTERVIEW SURVEY, 1976 [ICPSR 8340]) including sex, age, race, marital
status, veteran status, education, income, industry and occupation
codes, and limits on activity. The variables unique to this
supplement cover information about individuals' health coverage, such
as whether they have Medicare or Medicaid, private hospital insurance,
employer or union-based coverage, whether it is private coverage
obtained through another group, kinds of coverage, and if they received
care under an insurance plan in the past year. Information about
private plan combinations and reasons for no insurance is also
available.
description: These data contain multiple weight variables for each part. Users should refer to the User Guide for further information regarding the weights and their derivation. Additionally, users may need to weight the data prior to analysis.
description: A multistage probability sample was used in selecting housing units.
description: Datasets: 
DS1: National Health Interview Survey, 1976: Health Insurance Supplement
description: Civilian noninstitutionalized population of the 50 states
and the District of Columbia.
description: face-to-face interviewThese data files contain weights, which must be used in any analysis.Per agreement with NCHS, ICPSR distributes the data
file(s) and technical documentation in this collection in their
original form as prepared by NCHS.
DOI: 10.3886/icpsr09706
title: National Health Interview Survey, 1976: Health Insurance Supplement
title: Archival Version

description: The purpose of the National Health Interview Survey (NHIS)
is to obtain information about the amount and distribution of illness,
its effects in terms of disability and chronic impairments, and the
kinds of health services people receive. The 1976 Health Insurance
Supplement provides variables from the core Person File (see HEALTH
INTERVIEW SURVEY, 1976 [ICPSR 8340]) including sex, age, race, marital
status, veteran status, education, income, industry and occupation
codes, and limits on activity. The variables unique to this
supplement cover information about individuals' health coverage, such
as whether they have Medicare or Medicaid, private hospital insurance,
employer or union-based coverage, whether it is private coverage
obtained through another group, kinds of coverage, and if they received
care under an insurance plan in the past year. Information about
private plan combinations and reasons for no insurance is also
available.
description: These data contain multiple weight variables for each part. Users should refer to the User Guide for further information regarding the weights and their derivation. Additionally, users may need to weight the data prior to analysis.
description: A multistage probability sample was used in selecting housing units.
description: Datasets: 
DS1: National Health Interview Survey, 1976: Health Insurance Supplement
description: Civilian noninstitutionalized population of the 50 states
and the District of Columbia.
description: face-to-face interviewThese data files contain weights, which must be used in any analysis.Per agreement with NCHS, ICPSR distributes the data
file(s) and technical documentation in this collection in their
original form as prepared by NCHS.
DOI: 10.15468/dl.bu6uwj
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Haageocereus fascicularis (Meyen) F.Ritter"
 ]
}

 The dataset includes 87 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009245-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h8r2yv
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Crataegus orbicularis J.B.Phipps & O'Kennon"
 ]
}

 The dataset includes 48 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009246-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jvvbt7
title: Occurrence Download

description: A dataset containing 318511 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lolium arundinaceum (Schreb.) Darbysh.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 318511 records from 2104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009241-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0196123.10fu
title: SH0196123.10FU

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/sh0196124.10fu
title: SH0196124.10FU

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/sh0196125.10fu
title: SH0196125.10FU

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/sh0196126.10fu
title: SH0196126.10FU

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/sh0196127.10fu
title: SH0196127.10FU

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/sh0196128.10fu
title: SH0196128.10FU

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/sh0196129.10fu
title: SH0196129.10FU

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/sh0196130.10fu
title: SH0196130.10FU

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.zycdet
title: Occurrence Download

description: A dataset containing 2031 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sericomyia bombiformis"
 ]
}

 The dataset includes 2031 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002069-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0196131.10fu
title: SH0196131.10FU

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/sh0196132.10fu
title: SH0196132.10FU

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.