cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.27ac5n
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((78.03309299999999 20.335568, 77.95819299999999 20.329992, 77.88515200000001 20.313402, 77.81578399999999 20.286209, 77.751808 20.24909, 77.694806 20.202964, 77.64618299999999 20.148973, 77.607135 20.088456, 77.578616 20.022909, 77.56131600000001 19.953949, 77.55564699999999 19.88328, 77.561734 19.812641, 77.57941099999999 19.743771, 77.60823000000001 19.678363, 77.64747 19.618021, 77.69615899999999 19.564225, 77.753095 19.518293, 77.816879 19.481349, 77.885948 19.454295, 77.958611 19.437794, 78.03309299999999 19.432249, 78.107575 19.437794, 78.180238 19.454295, 78.249307 19.481349, 78.313091 19.518293, 78.37002699999999 19.564225, 78.418716 19.618021, 78.457956 19.678363, 78.48677499999999 19.743771, 78.504452 19.812641, 78.51053899999999 19.88328, 78.50487 19.953949, 78.48757000000001 20.022909, 78.459051 20.088456, 78.42000299999999 20.148973, 78.37138 20.202964, 78.314378 20.24909, 78.25040199999999 20.286209, 78.181034 20.313402, 78.10799299999999 20.329992, 78.03309299999999 20.335568))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001961-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0191334.10fu
title: SH0191334.10FU

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/sh0191335.10fu
title: SH0191335.10FU

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/sh0191336.10fu
title: SH0191336.10FU

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/sh0191337.10fu
title: SH0191337.10FU

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/sh0191338.10fu
title: SH0191338.10FU

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/sh0191339.10fu
title: SH0191339.10FU

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: 10.25318/1210017901-eng
title: Canadian international merchandise trade for total exports, domestic exports and re-exports, customs-based, monthly

description: International merchandise trade data for total exports, domestic exports and re-exports. Users have the option of selecting principal trading partners as well as North American Product Classification System (NAPCS) sections and groups.
DOI: 10.15468/dl.22puye
title: Occurrence Download

description: A dataset containing 142320100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 142320100 records from 8469 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008611-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr08261
title: Age Cohort Arrest Rates, 1970-1980
title: Archival Version

description: The data for this collection were gathered from the 1970 and 1980 Censuses and the Uniform Crime Reports for 1970 through 1980. The unit of analysis in this data collection is cities. Included are population totals by age group and arrest data for selected crimes by age group for Atlanta, Georgia, Chicago, Illinois, Denver, Colorado, Knoxville, Tennessee, San Jose, California, Spokane, Washington, and Tucson, Arizona. Population data by sex and age for all cities are contained in Part 4. The 123 variables provide data by age categories ranging from age 5 to age 69. Part 1, the arrest file for Atlanta and Chicago, provides arrest data for 1970 to 1980 by sex and age, ranging from age 10 and under to age 65 and over. The arrest data for other cities span two data files. Part 2 includes arrest data by sex for ages 15 to 24 for the years 1970 to 1980. Part 3 provides arrest data for ages 25 to 65 and over for the years 1970, 1975, and 1980. Arrest data are collected for the following crimes: murder, forcible rape, robbery, aggravated assault, burglary, larceny, motor vehicle theft, other assaults, arson, forgery, fraud, embezzlement, stolen property, vandalism, weapons, prostitution, other sex offenses, opium abuse, marijuana abuse, gambling, family offenses, drunk driving, liquor law violations, drunkenness, disorderly conduct, vagrancy, and all other offenses combined.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Standardized missing values.; Checked for undocumented or out-of-range codes..
description: Datasets: 
 
 DS0: Study-Level Files 
 DS1: Atlanta and Chicago Arrest Data, 1970-1980 
 DS2: Arrest Data (Ages 15-24) for All Other Cities, 1970-1980 
 DS3: Arrest Data (Ages 25-65+) for All Other Cities, 1970, 1975, and 1980 
 DS4: Population Data for All Cities, 1970 and 1980 
 DS6: SAS Data Definition Statements for Atlanta and Chicago Arrest Data 
 DS7: SAS Data Definition Statements for Arrest Data (Ages 15-24) for All Other Cities 
 DS8: SAS Data Definition Statements for Arrest Data (Ages 25-65+) for All Other Cities 
 DS9: SAS Data Definition Statements for Population Data
description: The data collection as received from the principal investigator contained 14 data files. These files were reformatted and combined into four data files by ICPSR.
description: Atlanta, Georgia, Chicago, Illinois, Denver, Colorado, Spokane, Washington, San Jose, California, and Tucson, Arizona.
DOI: 10.3886/icpsr06502
title: AIDS-Related Written Court Decisions in Federal and State Courts, 1984-1989: [United States]
title: Archival Version

description: This data collection was designed to identify the party characteristics, case attributes, and idea structures of written court decisions related to Auto-Immune Deficiency Syndrome (AIDS). Written court decisions related to AIDS in state and federal courts were located via the LEXUS and WESTLAW data systems. For a case to be eligible, it had to address an issue involving AIDS or involve a party who was believed to be infected with Human Immunodeficiency Virus (HIV), and a legal decision had to provide sufficient written material to analyze. Coding was completed by three individuals with legal training based on a team-developed codebook. Except in those areas where a preliminary test showed 90-percent reliability, variables were coded based on a consensus rule. Variables include court jurisdiction, whether the case was civil or criminal, case issue area, gender of plaintiff, relationship between parties, demand and primary purpose of the demand by the defendant and the plaintiff, what the court explicitly relied upon for its decision, whether the plaintiff or defendant had AIDS, AIDS-Related Complex (ARC), or was HIV-infected, and whether the plaintiff or defendant was gay, an IV drug user, a prisoner or an accused criminal, a member of a stigmatized group, or a racial or an ethnic minority. The unit of analysis is the written court decision.
description: Datasets: DS0: Study-Level Files DS1: Data File DS2: SAS Data Definition Statements
description: Written court decisions related to AIDS in the United States during the period 1984-1989.
description: Undocumented codes were found in this data collection. Missing data are represented by blanks.
DOI: 10.3886/icpsr07703
title: Public Image of Courts, 1977: General Public Data
title: Archival Version

description: This data collection and its companion study, PUBLIC IMAGE OF COURTS, 1977: SPECIAL PUBLICS DATA (ICPSR 7704), were undertaken to explore attitudes toward courts and justice. These surveys sought to measure perceptions of and experiences with local, state, and federal courts as well as general attitudes toward the administration of justice and legal actors. The general objectives of the studies were to (1) determine levels of public knowledge of courts, (2) test reactions to situations that might, or might not, prompt recourse to courts, (3) determine the incidence, nature, and evaluations of court experience, (4) describe and account for evaluations of court performance, (5) indicate attitudes toward legal actors, and (6) indicate reactions to alternative means of dispute resolution. Two samples were drawn: a national sample of the general public and a "special publics" sample of judges, lawyers, and community leaders (ICPSR 7704). The 1,931 respondents in the general public sample were interviewed in person by the National Consumer Field Staff of Yankelovich, Skelly, and White, Inc.
description: Single-stage stratified replicated random sample of household members above the age of 18.
description: Datasets: DS1: Public Image of Courts, 1977: General Public Data
description: The general public of the United States.
DOI: 10.3886/icpsr03081
title: National Survey of Indigent Defense Systems (NSIDS), 1999
title: Archival Version

description: This survey collected nationwide data in order to: (1) identify the number and characteristics of publicly financed indigent defense systems and agencies in the United States, (2) measure how legal services were provided to indigent criminal defendants in terms of caseloads, workloads, policies, and practices, and (3) describe the types of offenses handled by indigent defense system organizations. The study was initially designed to permit measurable statistical estimates at the national level for each region of the United States, for individual states, and for the 100 most populous counties, including the District of Columbia. However, due to resource and financial constraints, the study was scaled back to collect indigent criminal defense data at the trial level for (1) the 100 most populous counties, (2) 197 counties outside the 100 most populous counties, and (3) states that entirely funded indigent criminal defense services.
description: Stratified probability sample of 734 counties.
description: Datasets: DS0: Study-Level Files DS1: Program Data for the 100 Most Populous Counties DS2: Expenditure Data for the 100 Most Populous Counties DS3: Expenditure Data for Counties Outside of the 100 Most Populous DS4: Program Data for States That Entirely Fund Indigent Criminal Defense Services DS5: Verbatim Program Data for the 100 Most Populous Counties DS6: Verbatim Program Data for States That Entirely Fund Indigent Criminal Defense Services
description: The universe for Phase 1 consisted of indigent criminal defense programs that handled felony cases at the trial level in the 100 most populous counties in the United States. These counties were selected with certainty from a list of approximately 3,100 counties and independent cities in the United States ranked according to 1997 intercensal population estimates. The universe for Phase 2 consisted of counties outside of the 100 most populous and state-funded indigent criminal defense services.
DOI: 10.3886/icpsr02687
title: Juror Discussions About Evidence, 1997-1998: [Arizona]
title: Archival Version

description: These data were collected in conjunction with an evaluation of the Arizona court reform effective December 1, 1995, to permit jurors in civil cases to discuss the evidence prior to deliberations. The datasets consist of survey responses by judges, jurors, attorneys, and litigants in all civil cases conducted in Maricopa, Pima, Mohave, and Yavapai counties in Arizona between June 15, 1997, and January 31, 1998. Civil cases in the participating courts were randomly assigned to one of two experimental conditions: (1) jurors were told they could discuss the evidence prior to deliberation according to Rule 39(f) of the Arizona Rules of Civil Procedure, or (2) jurors were told they could not discuss the evidence per the previous admonition. The datasets contain survey responses under both conditions. Part 1, Case Characteristics Data, contains information from two questionnaires completed by judges about the lawsuit, the parties, the trial procedures, and the case outcome. The data in Part 2, Juror Questionnaire Data, cover jurors' views regarding the complexity of the case, the importance of witnesses and testimonies, and attorneys' performances. The variables in Part 3, Attorney Questionnaire Data, offer information on attorneys' opinions of the jurors, the opposing counsel, and the verdict. Part 4, Litigant Questionniare Data, consists of litigants' views regarding the jurors and the verdict. Demographic data include respondents' gender, age, race, income, and job status.
description: All civil jury trials conducted in Maricopa, Pima, Mohave, and Yavapai counties in Arizona from June 15, 1997, to January 31, 1998.
description: Datasets: DS0: Study-Level Files DS1: Case Characteristics Data DS2: Juror Questionnaire Data DS3: Attorney Questionnaire Data DS4: Litigant Questionnaire Data
description: All civil jury trials in Arizona.
DOI: 10.15468/dl.evfp72
title: Occurrence Download

description: A dataset containing 1299 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 {
 "or" : [
 "Country is Angola",
 "Country is Bahrain",
 "Country is Benin",
 "Country is Cameroon",
 "Country is Comoros",
 "Country is Congo",
 "Country is Congo, Democratic Republic of the",
 "Country is Côte d’Ivoire",
 "Country is Djibouti",
 "Country is Egypt",
 "Country is Eritrea",
 "Country is Equatorial Guinea",
 "Country is Gabon",
 "Country is Gambia",
 "Country is Ghana",
 "Country is Guinea",
 "Country is Guinea-Bissau",
 "Country is Iran (Islamic Republic of)",
 "Country is Iraq",
 "Country is Jordan",
 "Country is Kenya",
 "Country is Kuwait",
 "Country is Liberia",
 "Country is Madagascar",
 "Country is Mauritania",
 "Country is Mauritius",
 "Country is Mozambique",
 "Country is Nigeria",
 "Country is Oman",
 "Country is Qatar",
 "Country is Réunion",
 "Country is Saudi Arabia",
 "Country is Senegal",
 "Country is Seychelles",
 "Country is Sierra Leone",
 "Country is Somalia",
 "Country is South Africa",
 "Country is South Sudan",
 "Country is Sudan",
 "Country is Tanzania, United Republic of",
 "Country is Togo",
 "Country is United Arab Emirates",
 "Country is Yemen",
 "Country is Zambia",
 "Country is Zimbabwe"
 ]
 },
 "TaxonKey is Rhizophora mangle L.",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (VAGRANT)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 {
 "not" : {
 "DegreeOfEstablishment" : [
 "is one of (CULTIVATED)"
 ]
 }
 },
 "DegreeOfEstablishment is null"
 ]
 }
 ]
}

 The dataset includes 1299 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022806-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p44wsn
title: Occurrence Download

description: A dataset containing 183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-75.22495 4.17192,-71.59402 4.17192,-71.59402 8.29962,-75.22495 8.29962,-75.22495 4.17192))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bellucia pentamera Naudin"
 ]
}

 The dataset includes 183 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022797-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/4449
title: obstacle_avoidance_dataset
DOI: 10.57967/hf/4206
title: obstacle_avoidance_dataset
DOI: 10.15468/dl.3d2szr
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Coendou longicaudatus Daudin, 1802"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022807-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.