cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0894738.10fu
title: SH0894738.10FU

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.azpfgr
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron xenium Gill.K.Br. & Craven"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0096936-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0894739.10fu
title: SH0894739.10FU

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/sh0894740.10fu
title: SH0894740.10FU

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/sh0894741.10fu
title: SH0894741.10FU

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/sh0894742.10fu
title: SH0894742.10FU

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/sh0894743.10fu
title: SH0894743.10FU

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/sh0894744.10fu
title: SH0894744.10FU

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/sh0894745.10fu
title: SH0894745.10FU

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/sh0894746.10fu
title: SH0894746.10FU

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.keebpu
title: Occurrence Download

description: A dataset containing 29600234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation)",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 29600234 records from 13576 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0096898-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr07489.v1
title: Content Analysis of Asian Newspapers: 1962, 1966, 1970, 1972
title: Version 1

description: This study examined the content of news items that appeared in newspapers from Japan, Thailand, Indonesia, and Singapore during the last three months of 1962, 1966, 1970, and 1972. Included were news items covering domestic events in Japan, relations between Japan and the other three countries, relations between Japan and the rest of the world, domestic events in Thailand, Indonesia, and Singapore, their relations among themselves, and their relations with the rest of the world. Further data were collected during 1970 concerning relations between Thailand, Indonesia, and Singapore and the following countries: United States, Great Britain, Australia, West Germany, and the Netherlands. Variables document the source and publication date of the news items and outline the structure of the events. The study identifies actors, targets, and issues and provides evaluations of the actors' behavior and their interactions.
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: 
 
 DS1: Dataset
description: The original documentation also lists NIHON KEIZAI SHINBUN as a source for Japanese news. However, none of the cases in the dataset carries the code for this publication.
description: News items published in newspapers from Japan, Thailand, Indonesia, and Singapore in the last three months of 1962, 1966, 1970, and 1972.
description: In Indonesia, the INDONESIAN OBSERVER was used in 1962 and the DJAKARTA TIMES in 1966, 1970, and 1972. In Singapore, STRAITS TIMES was used for all years except 1962, when data were collected from the MALAY MAIL. Data on domestic and international events involving Japan, Thailand, Indonesia, and Singapore were collected on a daily basis. Events reflecting the Southeast Asian countries' relations with the United States, Great Britain, Australia, West Germany, and the Netherlands were only documented for every third day in the last quarter of 1970.
DOI: 10.3886/icpsr08003.v2
title: Commercial Victimization Surveys, 1973-1977 [United States]: National Sample
title: Version 2

description: These Commercial Victimization Surveys were collected as part of the National Crime Surveys. They document burglary and robbery incidents for all types of commercial establishments, as well as political, cultural, and religious organizations. Business characteristics gathered include form of ownership and operation, size and type of business, and security measures. Information regarding the reported incidents includes time and place, weapon involvement, offender and entry characteristics, injuries and deaths, and type and value of stolen property. Data were collected by calendar quarter for four quarters in 1973-1976 and for two quarters in 1977, while the actual incidents reported in the files reflect those occurring six months prior to the interview date.
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: 1973, First Collection Quarter 
 DS2: 1973, Second Collection Quarter 
 DS3: 1973, Third Collection Quarter 
 DS4: 1973, Fourth Collection Quarter 
 DS5: 1974, First Collection Quarter 
 DS6: 1974, Second Collection Quarter 
 DS7: 1974, Third Collection Quarter 
 DS8: 1974, Fourth Collection Quarter 
 DS9: 1975, First Collection Quarter 
 DS10: 1975, Second Collection Quarter 
 DS11: 1975, Third Collection Quarter 
 DS12: 1975, Fourth Collection Quarter 
 DS13: 1976, First Collection Quarter 
 DS14: 1976, Second Collection Quarter 
 DS15: 1976, Third Collection Quarter 
 DS16: 1976, Fourth Collection Quarter 
 DS17: 1977, First Collection Quarter 
 DS18: 1977, Second Collection Quarter
description: These data are contained in 18 hierarchical files. There are two record types, business records and incident records. Every case has a business record. The number of incident records for a case varies according to the number of times (if any) that particular business had been victimized during the reference period. There are 203 variables.
description: Commercial establishments in the United States in 1973-1977.
description: The sample was selected using a stratified multistage cluster technique. In the first stage, the sample consisted of 34 primary sampling units (PSUs). In July 1975, 24 additional PSUs were added. However, the increased sample size is not reflected in the data until July 1976. In the second stage, sample segments were chosen from the PSUs at a rate of 1 in 24. Note that one PSU has approximately 600 segments. Approximately 50,000 establishments were selected for interview.
DOI: 10.3886/icpsr08004.v1
title: Census Data for Planning and Service Areas, 1980: United States and Puerto Rico
title: Version 1

description: This file contains 1980 Census data for the 679 Planning and Service Areas (PSAs) in the United States and Puerto Rico. Data for all 50 states, the District of Columbia, Puerto Rico, and for each of the approximately 4,000 counties and county equivalents in the United States and Puerto Rico were subsetted from the 1980 Census of Population and Housing, Summary Tape File 1 (STF 1) and aggregated to the PSA level. The file contains 312 substantive data variables organized in the form of 53 "tables", as well as geographic codes for region, state code, PSA, and land area. The remaining STF 1 geographic codes and the six tables representing median values are not included. Data for each PSA include ethnicity and age of residents, housing units, and units rented.
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: 
 
 DS1: Dataset
description: These data were prepared by ICPSR in cooperation with the Administration on Aging (AoA) and the National Association of State Units on Aging (NASUA).
description: The universe consisted of 679 Planning and Service Areas in the United States and Puerto Rico.
DOI: 10.3886/icpsr07492.v1
title: New Homes and Poor People, 1966-1967
title: Version 1

description: This study focused on the indirect consequences of new housing construction by examining the sequences of moves triggered by first-time occupancies of new homes. In particular, the investigation attempted to ascertain whether the construction of new, relatively expensive housing might indirectly benefit low-income people or African Americans who could not afford to purchase these new houses but would be able to move into vacancies created farther along the chain. Interviews were first conducted with a representative sample of first-time inhabitants of newly-built homes, and then with the families that moved into the dwellings left vacant. Wherever possible, each chain of moves was followed to its logical conclusion. Demographic information includes age, sex, and education of family head, race of respondent, family life cycle, and family income.
description: Datasets: 
 
 DS1: Dataset
description: The codebook is provided by ICPSR as a Portable Document Format (PDF) file. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided on the ICPSR Web site.
description: Families that changed residence in the period 1963-1967.
description: The first group of respondents was selected from a probability sample of new dwelling units in metropolitan areas. In addition, interviews were taken as necessary in order to follow chains of moves triggered by the occupancy of newly-built homes.
DOI: 10.3886/icpsr07493.v1
title: World Population, 1950-1975
title: Version 1

description: This study collected demographic data for 201 nations and political entities worldwide. Variables include population for each year between 1950-1975, plus the figures for birth, death, and growth rates in 1975.
description: Datasets: 
 
 DS1: Dataset
description: Some of the developing nations included in the study had few or no population censuses, and no vital registration systems providing coverage of births. Consequently, for some parts of the world, the figures presented are rough estimates based on censuses that were available, and on household sample surveys.
description: 201 nations and other political entities worldwide.
DOI: 10.3886/icpsr07495.v1
title: Gambling in the United States, 1975
title: Version 1

description: This study contains interviews conducted with a national sample (Part 1) and a sample of Nevada residents (Part 2) on gambling activities and attitudes toward both legal and illegal gambling. The study attempted to determine the extent of gambling activities in the United States, examine the social consequences of changes in gambling laws, and estimate government revenues available from legal gambling. Questions were asked about leisure time activities, gambling patterns, amount of money bet, and types of gambling practiced by respondents. Specially designed questions on "off-track betting" were asked of residents of the greater New York City area -- the only area besides Nevada where this kind of gambling had been legalized. New Jersey residents were queried on another type of gambling, "Pickit", the only legal numbers game that existed in the United States at the time the study was conducted. Demographic data include age, sex, race, marital status, level of education, religious preference and church attendance, number of children, employment status, occupation, and income.
description: Datasets: 
 
 DS0: Study-Level Files 
 DS1: National Sample 
 DS2: Nevada Sample
description: Produced by the University of Michigan, Survey Research Center
description: Population of the United States, aged 18 and older.
description: (1) A cross-national sample was drawn from a sampling frame designed for national probability samples of household populations. Urban residents and males were oversampled based on the premise that gambling varies with geographic location and men gamble more than women. Thus, the sampling rate in Standard Metropolitan Statistical Areas (SMSAs) was twice the rate in non-SMSAs, and 800 supplemental respondents were selected from the 12 largest cities. In addition, two-thirds of the interviews were conducted with males and only one-third with females. The data were weighted to correct for disproportionate selection of households and non-response. (2) Residents of Nevada were sampled separately using a design intended to give equal probability of selection to each household in Carson City, Washoe, and Clark counties.