cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0974168.09fu
title: SH0974168.09FU

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/sh0974169.09fu
title: SH0974169.09FU

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/sh0974170.09fu
title: SH0974170.09FU

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/sh0974171.09fu
title: SH0974171.09FU

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/sh0974172.09fu
title: SH0974172.09FU

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/sh0974173.09fu
title: SH0974173.09FU

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/sh0974174.09fu
title: SH0974174.09FU

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/sh0974175.09fu
title: SH0974175.09FU

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: 10.5281/zenodo.7801429
title: Supplementary material for: Inconsistency Detection in Natural Language Requirements using ChatGPT: a Preliminary Evaluation

description: Supplementary material including both data and annotations. For each document we present: annotated results of the chatGPT answers; annotated results of the manual analysis The requirements and the grund truth pairs. Originals requirements are marked with "1" in the third column, mutants are marked with "0".
DOI: 10.15156/bio/sh0974176.09fu
title: SH0974176.09FU

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/sh0974177.09fu
title: SH0974177.09FU

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: 10.5281/zenodo.7801428
title: Supplementary material for: Inconsistency Detection in Natural Language Requirements using ChatGPT: a Preliminary Evaluation

description: Supplementary material including both data and annotations. For each document we present: annotated results of the chatGPT answers; annotated results of the manual analysis The requirements and the grund truth pairs. Originals requirements are marked with "1" in the third column, mutants are marked with "0".
DOI: 10.3886/icpsr03526.v1
title: National Health Interview Survey, 1994: Second Longitudinal Study on Aging, Wave 2, 1997
title: Version 1

description: The Second Longitudinal Study of Aging (LSOA II) is a collaborative effort of the National Center for Health Statistics (NCHS) and the National Institute on Aging (NIA). The NATIONAL HEALTH INTERVIEW SURVEY, 1994: SECOND SUPPLEMENT ON AGING (ICPSR 2563), serves as the baseline for this study. LSOA II Wave 2 interviews were conducted with a total of 7,998 respondents who were interviewed at baseline and consists of 7,060 survivor interviews and 998 decedent interviews. LSOA II Wave 2 is comprised of two data files, the Survivor Data (Part 1) and the Decedent Data (Part 2). The Survivor Data contains one record for each sample person (N = 9,447) interviewed at baseline and includes information drawn from several additional sources, including NATIONAL HEALTH INTERVIEW SURVEY, 1994 (ICPSR 6724) core questionnaire, NATIONAL HEALTH INTERVIEW SURVEY, 1994: FAMILY RESOURCES INCOME AND ASSETS SUPPLEMENT (ICPSR 2656), and NATIONAL HEALTH INTERVIEW SURVEY ON DISABILITY, 1994: PHASE I, DISABILITY OUTCOME SUPPLEMENT (ICPSR 2539). Wave 2 questions examined migration, convalescent home utilization, persistent symptomatic conditions such as pain in legs, swelling in feet, etc., nutrition, influenza immunization, mammogram, prostate, and cholesterol screenings, routine use of vitamins and aspirin, and detailed questions on home health care utilization. In addition a random one-quarter sample of the follow-up respondents were chosen to complete the Childhood Health and Family Longevity Module. This section is similar to that administered during the 1996 Health and Retirement Survey (HRS). Variable SF3462 indicates whether the sample person answered the childhood module. For the Decedent Data (Part 2) information was gathered from a family member or close relative regarding sample persons (N = 938) who were deceased at the time of Wave 2 interviews. Questions focused on housing, long-term care, assistance with key activities, chronic conditions, cognitive functioning, and health care use and health insurance.
description: Datasets: 
 
 DS0: Study-Level Files 
 DS1: Survivor Data 
 DS2: Decedent Data
description: National Health Interview Survey Series
description: (1) Per agreement with NCHS, ICPSR distributes the data file and technical documentation in this collection in their original form as prepared by NCHS. (2) The codebook, data collection instrument, and frequencies are provided as a Portable Document Format (PDF) file.
description: Civilian, noninstitutionalized population of the 50 states and the District of Columbia.
description: All individuals 70 years of age and over, for whom data were collected as part of the 1994 National Health Interview Survey core interview. The NHIS core interview used a stratified multistage probability design.
DOI: 10.3886/icpsr03527.v1
title: Voter News Service General Election Exit Polls, 2000
title: Version 1

description: These data were collected through interviews conducted with voters in 50 states and the District of Columbia, as they left their polling places on Election Day, November 7, 2000. Part 1, National Data, contains data collected from a national sample. National sample respondents were asked a series of questions about their electoral choices, the issues surrounding the elections, and the factors that influenced their decisions. Questions focused on the direction of the country, the state and future of the nation's economy, the federal budget surplus, the investment of Social Security funds in the stock market, tax cuts, prescription drug coverage for the elderly, and the legacy of the Clinton presidency. Background information on national respondents includes age, race, gender, Hispanic descent, age of children in household, marital status, political party, political orientation, employment status, education, religion, and family income. Parts 2-52 contain data collected from the individual state and District of Columbia surveys. Telephone surveys were conducted in Oregon, as well as with absentee/early voters in California and Washington. Respondents were asked for their opinions of President Bill Clinton and the United States Congress, as well as for their vote choices in the relevant gubernatorial, senatorial, and congressional elections. Those queried were also asked whether they supported state-specific proposals, such as a state lottery in South Carolina, a state income tax in New Hampshire, and school vouchers in California and Michigan. Background information on individual state respondents includes age, race, gender, education, voter participation history, political party, political orientation, and family income.
description: A weight variable, with three implied decimal places, should be applied in all analyses. Further information on weighting may be found within the methodology section of the codebook.
This collection has not been processed by ICPSR staff. ICPSR is distributing the data and documentation for this collection in essentially the same form in which they were received. When appropriate, documentation has been converted to Portable Document Format (PDF), data files have been converted to non-platform-specific formats, and variables have been recoded to ensure respondents' anonymity.
description: Voters casting a ballot in the 2000 United States general election.
description: The statewide samples were selected in two stages. First, a probability sample of voting precincts within each state was selected that represented the different geographic areas across the state and the vote by party. Second, within each precinct, voters were sampled systematically throughout the voting day at a rate that gave all voters in a precinct the same chance of being interviewed. The national sample is a subsample of the statewide sample precincts.
DOI: 10.3886/icpsr07324.v1
title: Detroit Area Study, 1968: Black Attitudes in Detroit
title: Version 1

description: This study sampled Black households within the city of Detroit in the spring and summer of 1968 and interviewed the head of household or spouse of the head of household. The study examined contact between Blacks and Whites and the views of Blacks regarding Black militancy, community control, Black consciousness, and anti-White sentiments. Questions included in the interview determined the number and type of contacts respondents had with whites, the respondents' attitudes toward child-rearing, and political activities at neighborhood churches. Perceptions of various local problems were probed, including the effects of the 1967 Detroit riots. Respondents were also asked about the best means for Blacks to gain their rights and reasons for the high unemployment rate in Detroit. Other topics covered respondents' experiences with and awareness of racial discrimination in the areas of housing, local police activities, business relations, and job opportunities. Background information on respondents includes age, sex, race, marital status, religious affiliation, and church activities. The respondent's residence up to age 10, length of residence in Detroit and in their current neighborhood, and the racial composition of the neighborhood were ascertained. Respondent's educational level, the racial composition of schools the respondent attended, and respondent's service in the military were also recorded. Other demographic information was gathered regarding the number of adults and children living in the household, as well as the number of rooms in the house, family income, and income sources. The respondent was also asked about the educational levels and occupations of other family members. More information about the Detroit Area Studies Project is available on this Web site.
description: Datasets: 
 
 DS1: Dataset
description: Detroit Area Studies Series
description: Individuals living in Black dwelling units in the city of Detroit during the spring and summer of 1968.
description: A sample of Black dwelling units from the city of Detroit was drawn by multistage probability methods during the spring and summer of 1968. There were 619 completed interviews, yielding a response rate of 82.9 percent. Upper-income areas were sampled at twice the rate of low-income areas. The socioeconomic status (SES) variable (V3) should be used to weight the low-income segments to estimate population values. Use of this weight variable results in a sample size of 844. Also, there is a sex weight variable (V22) which, when used with the SES variable, results in a sample size of 1,039. (The original investigator states that use of the sex weight variable is not necessary in most instances.) In addition to the Black sample, a cross-section of 185 whites from suburban Detroit was drawn, but is not included in the ICPSR dataset.
DOI: 10.3886/icpsr07325.v1
title: Detroit Area Study, 1971: Social Problems and Social Change in Detroit
title: Version 1

description: The study was conducted during the spring and summer of 1971. The aim of the 1971 Detroit Area Study was to gather information on social change in the Detroit area by replicating items from nine earlier Detroit Area Studies that were conducted in 1953-1959, 1968, and 1969. The criteria used for selecting the question items were that they: (1) not be dated by wording or subject matter, (2) be relevant to some problem of current public concern or a continuing issue of sociological theory, and (3) be of the type that would be manageable in a long interview on diverse subjects. The questions chosen to be included in the 1971 Detroit Area Study examined issues such as values in marriage, ideal number of children, satisfaction of wives with marriage, decision-making and division of labor within a marriage, attitudes toward women and work, child-rearing, social participation, religious participation and beliefs, moral and job values, political orientation and participation, evaluation of various institutions, and racial attitudes. In addition to the items replicated from the previous studies, respondents' attitudes toward the United States sending troops to Vietnam were explored. Background variables established respondents' age, sex, race, educational level, marital status, occupation, class identification, and relationship to head of household. Demographic information was also collected on the respondent's spouse and parents. More information about the Detroit Area Studies Project is available on this Web site.
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: Created variable labels and/or value labels.; Created online analysis version with question text.; Checked for undocumented or out-of-range codes..
description: Response Rates: The response rate of the Wayne County portion of the sample was 80.2 percent.
description: Datasets: 
 
 DS1: Detroit Area Study, 1971: Social Problems and Social Change in Detroit
description: Detroit Area Studies Series
description: face-to-face interview 
The data available for download are not weighted and users will need to weight the data prior to analysis.
Although this study also included a sample of interviews conducted in Macomb and Oakland Counties, this data is not included in this collection.
 More information about the Detroit Area Studies Project is available on the Detroit Area Studies Project Web site. 
Variables V54, V335, V338, V339, V345, V346, V349, V350, V354 and V355 contain unknown codes.
description: Adults aged 21 years old or older living in dwelling units in the Detroit metropolitan area.
description: Multistage probability sample.