cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1083306.10fu
title: SH1083306.10FU

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/sh1083307.10fu
title: SH1083307.10FU

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/sh1083309.10fu
title: SH1083309.10FU

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/sh1083310.10fu
title: SH1083310.10FU

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/sh1083311.10fu
title: SH1083311.10FU

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/sh1083312.10fu
title: SH1083312.10FU

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/sh1083316.10fu
title: SH1083316.10FU

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.dpzh8n
title: Occurrence Download

description: A dataset containing 345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Living Specimen, Specimen, Material sample)",
 "Country is Australia",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Australian Museum provider for OZCAM, WildNet - Queensland Wildlife Data, Queensland Museum provider for OZCAM, NSW BioNet Atlas, ALA species sightings and OzAtlas, Earth Guardians Weekly Feed, South Australian Museum Adelaide provider for OZCAM)",
 "GadmGid is AUS.7_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Cyprinus carpio Linnaeus, 1758"
 ]
}

 The dataset includes 345 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011910-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d652ak
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pristimantis colonensis (Mueses-Cisneros, 2007)"
 ]
}

 The dataset includes 54 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011911-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.32e2j8
title: Occurrence Download

description: A dataset containing 897381 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Year 2023-2025"
 ]
}

 The dataset includes 897381 records from 497 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011891-250402121839773/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.28673411
title: Supporting Dataset S3

description: Supporting Dataset S3. Excel Workbook containing several spreadsheets used to list tips in phylogenomics and phylogenetic trees. The spreadsheets contain the information used to replace tip labels in trees within FigTree, as well as the relationship between old and new locus tags assigned by NCBI for the sHy2 and sMoj genome assemblies.
DOI: 10.6084/m9.figshare.28673411.v1
title: Supporting Dataset S3

description: Supporting Dataset S3. Excel Workbook containing several spreadsheets used to list tips in phylogenomics and phylogenetic trees. The spreadsheets contain the information used to replace tip labels in trees within FigTree, as well as the relationship between old and new locus tags assigned by NCBI for the sHy2 and sMoj genome assemblies.
DOI: 10.3886/icpsr35562.v1
title: Afrobarometer Round 5: The Quality of Democracy and Governance in Sierra Leone, 2012
title: Version 1

description: The Afrobarometer is a comparative series of public attitude surveys that collects and disseminates data regarding Africans' views on democracy, governance, the economic, civil society, and related issues. This particular data collection was concerned with the attitudes and opinions of the citizens of Sierra Leone, and also includes a number of "country-specific questions" designed specifically for the Sierra Leone survey. The data are collected from nationally representative samples in face-to-face interviews in the language of the respondent's choice. Standard topics for the Afrobarometer include attitudes toward and evaluations of democracy, governance and economic conditions, political participation, national identity, and social capital. In addition, Round 5 surveys included special modules on taxation; gender issues; crime, conflict and insecurity; globalization; and social service delivery. The surveys also collect a large set of socio-demographic indicators such as age, gender, education level, poverty level, language and ethnicity, and religious affiliation, as well as political party affiliation. Afrobarometer Round 5 surveys were implemented in 35 countries.
description: The data are not weighted. However, this collection includes a weight variable (WITHINWT) which should be used when calculating national-level statistics. Cases are weighted to account for individual selection probabilities. For additional information on weights, please see the Afrobarometer Round 5 Survey Manual.
description: The Afrobarometer uses a clustered, stratified, multi-stage, area probability sample design. The sample is designed as a representative cross-section of all citizens of voting age in a given country. The goal is to give every adult citizen an equal and known chance of selection for interview. This objective is reached by (a) strictly applying random selection methods at every stage of sampling and by (b) applying sampling with probability proportionate to population size wherever possible. A randomly selected sample of 1,200 cases allows inferences to national adult populations with a margin of sampling error of no more than plus or minus 3 percent with a confidence level of 95 percent. If the sample size is increased to 2,400, the confidence interval shrinks to plus or minus 2 percent. The sample size for the 2012 Sierra Leone Afrobarometer was 1,190 respondents.
description: Datasets: 
DS1: Afrobarometer Round 5: The Quality of Democracy and Governance in Sierra Leone, 2012
description: Citizens of Sierra Leone aged 18 years or older. Smallest Geographic Unit: District
description: face-to-face interview; paper and pencil interview (PAPI)Additional information regarding the Afrobarometer Survey Series can be found at the Afrobarometer Web site.
DOI: 10.3886/icpsr35562
title: Afrobarometer Round 5: The Quality of Democracy and Governance in Sierra Leone, 2012
title: Archival Version

description: The Afrobarometer is a comparative series of public attitude surveys that collects and disseminates data regarding Africans' views on democracy, governance, the economic, civil society, and related issues. This particular data collection was concerned with the attitudes and opinions of the citizens of Sierra Leone, and also includes a number of "country-specific questions" designed specifically for the Sierra Leone survey. The data are collected from nationally representative samples in face-to-face interviews in the language of the respondent's choice. Standard topics for the Afrobarometer include attitudes toward and evaluations of democracy, governance and economic conditions, political participation, national identity, and social capital. In addition, Round 5 surveys included special modules on taxation; gender issues; crime, conflict and insecurity; globalization; and social service delivery. The surveys also collect a large set of socio-demographic indicators such as age, gender, education level, poverty level, language and ethnicity, and religious affiliation, as well as political party affiliation. Afrobarometer Round 5 surveys were implemented in 35 countries.
description: The data are not weighted. However, this collection includes a weight variable (WITHINWT) which should be used when calculating national-level statistics. Cases are weighted to account for individual selection probabilities. For additional information on weights, please see the Afrobarometer Round 5 Survey Manual.
description: The Afrobarometer uses a clustered, stratified, multi-stage, area probability sample design. The sample is designed as a representative cross-section of all citizens of voting age in a given country. The goal is to give every adult citizen an equal and known chance of selection for interview. This objective is reached by (a) strictly applying random selection methods at every stage of sampling and by (b) applying sampling with probability proportionate to population size wherever possible. A randomly selected sample of 1,200 cases allows inferences to national adult populations with a margin of sampling error of no more than plus or minus 3 percent with a confidence level of 95 percent. If the sample size is increased to 2,400, the confidence interval shrinks to plus or minus 2 percent. The sample size for the 2012 Sierra Leone Afrobarometer was 1,190 respondents.
description: Datasets: 
DS1: Afrobarometer Round 5: The Quality of Democracy and Governance in Sierra Leone, 2012
description: Citizens of Sierra Leone aged 18 years or older. Smallest Geographic Unit: District
description: face-to-face interview; paper and pencil interview (PAPI)Additional information regarding the Afrobarometer Survey Series can be found at the Afrobarometer Web site.
DOI: 10.15468/dl.6rmft4
title: Occurrence Download

description: A dataset containing 1734 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dendropsophus molitor (Schmidt, 1857)"
 ]
}

 The dataset includes 1734 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011913-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6jr9m6
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-113.38731 23.70323,-110.02041 22.66358,-108.34526 22.67435,-110.13321 25.68603,-112.00886 28.10149,-115.17685 27.86823,-113.38731 23.70323))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vitis peninsularis M.E.Jones"
 ]
}

 The dataset includes 112 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011914-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr35022.v1
title: Uniform Crime Reporting Program Data: Property Stolen and Recovered, 2012
title: Version 1

description: The UNIFORM CRIME REPORTING PROGRAM DATA: PROPERTY STOLEN AND RECOVERED,
2012 file (also known as the Supplement to Return A) is collected at the agency level and includes detailed monthly data on the nature of crime and the value and type of property stolen and recovered incident to each crime. The Return A Supplement requires that a value be established for property stolen and recovered in each Crime Index category except aggravated assault. It is designed to record the value of property stolen and recovered in the following eleven classifications: Currency/notes, Jewelry and Precious Metals, Clothing and Furs, Locally Stolen Motor Vehicles, Office Equipment, Televisions/Radios, Firearms, Household Goods, Consumable Goods, Livestock, and Miscellaneous. The determination of the value of property stolen is an obligation of the investigating officer, and such information is essential to assure the completeness of a law enforcement investigative report on stolen property. The data were originally assembled by the Federal Bureau of Investigation (FBI) from reports submitted by agencies participating in the UCR. The ICPSR file was processed from Return A Supplement files provided by the FBI.
description: Datasets: 
DS1: Uniform Crime Reporting Program Data: Property Stolen and Recovered, 2012
description: Property crimes reported by law enforcement agencies in the United States.
description: self-enumerated questionnaireStarting with the year 1998, each of the four parts of the UCR data collection archived by ICPSR is released as a separate study under its own study number. The Property Stolen and Recovered data for the years 1975-1997 can be found in UNIFORM CRIME REPORTING PROGRAM DATA: 1975-1997 (ICPSR 9028).
DOI: 10.15468/dl.gy8vgj
title: Occurrence Download

description: A dataset listing the 962 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-100.11798 27.66136,-100.77576 27.05932,-101.08235 26.47958,-101.0712 26.17299,-101.00989 25.96116,-100.80921 25.63227,-100.5918 25.66571,-100.80363 25.88869,-100.92069 26.2789,-100.61968 26.83634,-100.25176 27.32689,-100.03436 27.4551,-99.49922 27.57774,-99.77794 27.7171,-100.11798 27.66136))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 962 records were derived from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011909-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ufmdps
title: Occurrence Download

description: A dataset containing 25186 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Puma concolor (Linnaeus, 1771)"
 ]
}

 The dataset includes 25186 records from 419 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011915-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2tphps
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pristimantis colonensis (Mueses-Cisneros, 2007)"
 ]
}

 The dataset includes 54 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011916-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr35017.v1
title: Uniform Crime Reporting Program Data: Arrests by Age, Sex, and Race, United States, 2012
title: Version 1

description: These data provide information on the number of arrests reported to the Federal Bureau of Investigation's (FBI) Uniform Crime Reporting (UCR) Program each month by police agencies in the United States. Although not as well known as the "Crimes Known to the Police" data drawn from the Uniform Crime Report's Return A form, the arrest reports by age, sex, and race provide valuable data on 43 offenses including violent, drug, gambling, and larceny crimes. The data received by ICPSR were structured as a hierarchical file containing (per reporting police agency) an agency header record, and 1 to 12 monthly header reports, and 1 to 43 detail offense records containing the counts of arrests by age, sex, and race for a particular offense. ICPSR restructured the original data to a rectangular format.
description: The data for the Uniform Crime Reports are submitted voluntarily by city, county, and state law enforcement agencies. Some agencies receive forms directly from the FBI and return them directly to the FBI. Many others receive forms from state collecting programs and return the reports to those programs. The state programs, in turn, forward the reports to the FBI. Reports are sent out and collected on a monthly basis.
description: Datasets: 
DS1: Uniform Crime Reporting Program Data: Arrests by Age, Sex, and Race, United States, 2012
description: Arrests reported by law enforcement agencies to the Federal Bureau of Investigation's Uniform Crime Reporting program. Smallest Geographic Unit: states, counties, cities
description: mail questionnaire; on-site questionnaire