cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6077/j5/hwfpsp
title: Merit Principles Survey, 1986

description: &lt;p&gt;This survey of full-time, executive branch Federal employees was conducted by the U.S. Merit Systems Protection Board in 1986. A total of 16, 651 employees responded to the survey (out of a sample of 21,620). The survey asked Federal aployees about their jobs and their level of satisfaction; whether or not people reported waste and fraud, and if so, what were the consequences of their actions; questions regarding the merit system; questions aimed at supervisors and members of the Senior Executive Service; and general questions and questions concerning respondents' job histories.&lt;/p&gt;
description: Merit Principles Survey
description: collection_notes: Disproportionate stratified random sampling procedures were used in conducting the survey. Therefore, when analyzing the data, weighting procedures should be in effect so that results of the analyses will be representative of the Federal workforce.
DOI: 10.6077/t7gj-8m61
title: Current Population Survey, October 1977: School Enrollment

description: &lt;p&gt;Data on labor force activity for the week prior to the survey are supplied in this collection. Information is available on the employment status, occupation, and industry of persons 14 years old and over. Demographic variables such as age, sex, race, marital status, veteran status, household relationship, educational background, and Spanish origin are included. In addition to providing these core data, the collection also contains a special supplement on school enrollment that includes the following items: current grade attending at public or private school, whether attending college full- or part-time at a two- or four-year institution, year last attended a regular school, and year graduated from high school. (Source: downloaded from ICPSR 7/13/10)&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Please Note&lt;/strong&gt;: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at &lt;a href="https://doi.org/10.3886/ICPSR09538.v1"&gt;https://doi.org/10.3886/ICPSR09538.v1&lt;/a&gt;. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.&lt;/p&gt;
description: Current Population Survey, October [School Enrollment]
DOI: 10.6077/bx2p-4070
title: Gallup/CNN/USA Today Poll: Immigration, Religion and Taxes, 1994

description: &lt;p&gt;This survey was sponsored by CNN and USA Today and conducted on December 16-18, 1994. A National adult sample of 1,016 were interviewed and covered topics: Clinton; National economy; Newt Gingrich; immigrants; religion.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Please Note:&lt;/strong&gt; This dataset is part of the historical CISER Data Archive Collection and is also available at the Roper Center for Public Opinion Research at &lt;a href="https://doi.org/10.25940/ROPER-31088252"&gt;https://doi.org/10.25940/ROPER-31088252&lt;/a&gt;. We highly recommend using the Roper Center version as they made this dataset available in multiple data formats.&lt;/p&gt;
DOI: 10.6077/xe6y-qh15
title: Current Population Survey, October 1996: School Enrollment

description: &lt;p&gt;Data on labor force activity for the week prior to the survey are supplied in this collection. Information is available on the employment status, occupation, and industry of persons 15 years old and over. Demographic variables such as age, sex, race, marital status, veteran status, household relationship, educational background, and Hispanic origin are included. In addition to providing these core data, the October survey also contains a special supplement on school enrollment for all persons surveyed aged 3 years or older. This supplement includes the following items: current grade attending at public or private school, whether attending college full-time or part-time at a two- or four-year institution, year last attended a regular school, and year graduated from high school. (Source: downloaded from ICPSR 7/13/10)&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Please Note:&lt;/strong&gt; This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR -- &lt;a href="https://doi.org/10.3886/ICPSR02364.v2"&gt;https://doi.org/10.3886/ICPSR02364.v2&lt;/a&gt;. We highly recommend using the ICPSR version as they made this dataset available in multiple data formats.&lt;/p&gt;
description: Current Population Survey, October [School Enrollment]
description: collection_notes: The current CPS sample is selected based on 1990 census information. The first stage of the 1990 sample design created 2,007 geographic areas called primary sampling units (PSUs) in the entire United States. These PSUs were grouped into strata within each state. Some of these PSUs formed strata by themselves and were in sample with certainty, which is referred to as self-representing. Of the remaining nonselfrepresenting PSUs, one PSU was selected from each stratum with the probability of selection proportional to the population of the PSU. A total of 754 PSUs were selected for sample containing 2,122 counties, minor civil divisions, and independent cities. The second stage of the sample design selected housing units within these PSUs.
DOI: 10.6077/j5/9yqfcf
title: Current Population Survey, May 1991: Multiple Job Holding and Work Schedules

description: &lt;p&gt;Standard labor force activity data for the week prior to the survey are provided in this data collection. Comprehensive data are supplied on the employment status, occupation, and industry of persons 15 years old and over. Also presented are personal characteristics such as age, sex, race, marital status, veteran status, household relationship, educational background, and Spanish origin. Supplemental data pertaining to work schedules include items on the usual number of hours worked daily and weekly, usual number of days and specific days worked weekly, starting and ending times of an individual's work day, and whether these starting and ending times could be varied. For deviations from regular work schedules, the main reason and length of time a particular schedule or shift was worked is elicited. Questions dealing with overtime include number of extra hours worked and rate of pay. For dual jobholders, data are provided on starting and ending times of the work day, number of weekly hours worked, earnings, occupation, industry, and main reason for working more than one job. Questions are included about primary job-related activities completed at home and about temporary work. Data on volunteer work are also provided. (Source: downloaded from ICPSR 7/13/10)&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Please Note&lt;/strong&gt;: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at &lt;a href="https://doi.org/10.3886/ICPSR09809.v1"&gt;https://doi.org/10.3886/ICPSR09809.v1&lt;/a&gt;. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.&lt;/p&gt;
description: Current Population Survey, May
description: collection_notes: The CPS sample is based on the civilian noninstitutional population of the United States. The sample is located in 729 sample areas comprising 1,973 counties and independent cities with coverage in every State and in the District of Columbia.
DOI: 10.6077/3w7w-gw42
title: Natality Detail File, 1981: [United States]

description: &lt;p&gt;This collection provides information on live births in the United States during calendar year 1981. The natality data in this file are a component of the vital statistics collection effort maintained by the federal government. Geographic variables of residence for births include the state, county, city, population, division and state subcode, Standard Metropolitan Statistical Area (SMSA), and metropolitan/non-metropolitan county. Other variables include the race and sex of the child, the age of the mother, mother's education, place of delivery, person in attendance, and live-birth order. The natality tabulations in the documentation include live births by age of mother, live-birth order, and race of child, live births by marital status of mother, age of mother, and race of child, and live births by attendant and place of delivery. (Source: downloaded from ICPSR 7/13/10)&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Please Note&lt;/strong&gt;: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at &lt;a href="https://doi.org/10.3886/ICPSR03327.v1"&gt;https://doi.org/10.3886/ICPSR03327.v1&lt;/a&gt;. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.&lt;/p&gt;
description: Natality Detail File
description: collection_notes: Births in Arizona, California, Delaware, District of Columbia, Georgia, New Mexico and North Dakota are based on a 50-percent sample.
DOI: 10.15468/dl.g53zjt
title: Occurrence Download

description: A dataset containing 7435890 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia",
 "Year 2000-2024"
 ]
}

 The dataset includes 7435890 records from 7614 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014900-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.98g546
title: Occurrence Download

description: A dataset containing 294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Butis koilomatodon (Bleeker, 1849))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 294 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050935-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hhcgx2
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kuwait",
 "TaxonKey is Zilla spinosa (L.) Prantl"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010155-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xkm9s4
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alnus rubra Bong.",
 "BasisOfRecord is Human Observation",
 "HasCoordinate is True",
 "DecimalLatitude is greater than 37.69518157888164",
 "DecimalLongitude is greater than -122.55392149475273",
 "DecimalLatitude is less than 37.83197310811593",
 "DecimalLongitude is less than -122.34243467834648"
 ]
}

 The dataset includes 22 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0281528-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ap565a
title: Occurrence Download

description: A dataset containing 687 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Calidris tenuirostris (Horsfield, 1821)",
 "Year 1990-2021"
 ]
}

 The dataset includes 687 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0288205-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dv42ya
title: Occurrence Download

description: A dataset containing 2149 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Primula glutinosa Wulfen"
 ]
}

 The dataset includes 2149 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0217690-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bkwkr7
title: Occurrence Download

description: A dataset containing 674 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nardus stricta L.",
 "MediaType is Image",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 674 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001569-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wawepa
title: Occurrence Download

description: A dataset containing 400093 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polytrichaceae"
 ]
}

 The dataset includes 400093 records from 556 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010156-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4dmck
title: Occurrence Download

description: A dataset listing the 186 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is UK Roadkill Records"
 ]
}

 The dataset's 186 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0273152-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tzzpnr
title: Occurrence Download

description: A dataset containing 289907 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chaetoceros Ehrenberg",
 "HasCoordinate is true"
 ]
}

 The dataset includes 289907 records from 685 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033004-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yoejpu
title: Occurrence Download

description: A dataset containing 357579 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Cameroon"
 ]
}

 The dataset includes 357579 records from 458 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010156-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0157339.10fu
title: SH0157339.10FU

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/sh0157340.10fu
title: SH0157340.10FU

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/sh0157341.10fu
title: SH0157341.10FU

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/sh0157342.10fu
title: SH0157342.10FU

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/sh0157343.10fu
title: SH0157343.10FU

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/sh0157344.10fu
title: SH0157344.10FU

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/sh0157345.10fu
title: SH0157345.10FU

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/sh0157346.10fu
title: SH0157346.10FU

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.