cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr29424.v1
title: Federal Justice Statistics Program: Suspects in Federal Criminal Matters Concluded, 2008 [United States]
title: Version 1

description: The data contain records of suspects in federal criminal matters concluded by United States attorneys or United States magistrates during fiscal year 2008. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. Records include suspects in criminal matters, and are limited to suspects whose matters were not declined immediately by the United States attorneys. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central System data contain variables from the original EOUSA files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Tables 1.2-1.5. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
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..
description: Datasets: 
 
 DS1: Dataset
description: Federal Justice Statistics Program Data Series
description: Suspects in federal criminal matters concluded by United States attorneys or United States magistrates during fiscal year 2008.
DOI: 10.3886/icpsr29426.v1
title: Federal Justice Statistics Program: Defendants Charged in Criminal Cases Filed in District Court, 2008 [United States]
title: Version 1

description: The data contain records of defendants in federal criminal cases filed in United States District Court during fiscal year 2008. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central System data contain variables from the original EOUSA files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
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..
description: Datasets: 
 
 DS1: Dataset
description: Federal Justice Statistics Program Data Series
description: Defendants in federal criminal cases filed in United States District Court during fiscal year 2008.
DOI: 10.6073/pasta/772886241541938bae3ae408a13e32c0
title: Anaktuvuk River Burn Eddy Flux Measurements, 2008 Moderate Burn Site, North Slope Alaska
DOI: 10.6073/pasta/8d1ab4f395cba131e05a986f53bb0a79
title: Anaktuvuk River fire scar canopy reflectance spectra from the 2008-2010 growing seasons
DOI: 10.6073/pasta/97e9626e9fbddf4c533a8b80aa995318
title: Anaktuvuk River Burn Eddy Flux Measurements, 2009 Severe Burn Site, North Slope Alaska
DOI: 10.6073/pasta/a27d04d5d8eac0463ad69c38f86f208f
title: Anaktuvuk River Burn Eddy Flux Measurements, 2009 Moderate Burn Site, North Slope Alaska
DOI: 10.6073/pasta/ae892e568a53615dc9efd8b756afce23
title: Anaktuvuk River Burn Eddy Flux Measurements, 2008 Unburned Site, North Slope Alaska
DOI: 10.6073/pasta/d6c8e2f5514b4fe7d72e905ba6c375a4
title: Anaktuvuk River Burn Eddy Flux Measurements, 2008 Severe Burn Site, North Slope Alaska
DOI: 10.14272/jqgkkxvkqxlipi-uhfffaoysa-n
title: 3-(4-bromophenyl)-3-(trifluoromethyl)diaziridine

description: This is a molecule publication.
DOI: 10.14272/jqgkkxvkqxlipi-uhfffaoysa-n/mass/ei
title: Mass/EI (3-(4-bromophenyl)-3-(trifluoromethyl)diaziridine)

description: This is a dataset.
DOI: 10.14272/jqgkkxvkqxlipi-uhfffaoysa-n/nmr/1h/cdcl3/250
title: NMR/1H/CDCl3/250 (3-(4-bromophenyl)-3-(trifluoromethyl)diaziridine)

description: This is a dataset.
DOI: 10.14272/usnouyuefbtzjm-uhfffaoysa-n/ir
title: IR - 2,2,2-trifluoro-1-[4-(2-trimethylsilylethynyl)phenyl]ethanone (2,2,2-trifluoro-1-[4-(2-trimethylsilylethynyl)phenyl]ethanone)

description: This is a dataset.
DOI: 10.14272/usnouyuefbtzjm-uhfffaoysa-n/mass/ei
title: Mass/EI - 2,2,2-trifluoro-1-[4-(2-trimethylsilylethynyl)phenyl]ethanone (2,2,2-trifluoro-1-[4-(2-trimethylsilylethynyl)phenyl]ethanone)

description: This is a dataset.
DOI: 10.14272/usnouyuefbtzjm-uhfffaoysa-n/nmr/13c/cdcl3/62.5
title: NMR/13C/CDCl3/62.5 - 2,2,2-trifluoro-1-[4-(2-trimethylsilylethynyl)phenyl]ethanone (2,2,2-trifluoro-1-[4-(2-trimethylsilylethynyl)phenyl]ethanone)

description: This is a dataset.
DOI: 10.14272/usnouyuefbtzjm-uhfffaoysa-n/nmr/1h/cdcl3/250
title: NMR/1H/CDCl3/250 - 2,2,2-trifluoro-1-[4-(2-trimethylsilylethynyl)phenyl]ethanone (2,2,2-trifluoro-1-[4-(2-trimethylsilylethynyl)phenyl]ethanone)

description: This is a dataset.
DOI: 10.3886/icpsr29427.v1
title: Federal Justice Statistics Program: Suspects in Federal Criminal Matters, 2008 [United States]
title: Version 1

description: The data contain records of suspects in federal criminal matters received by United States attorneys or filed before the United States magistrates during fiscal year 2008. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. Records include suspects in criminal matters, and are limited to suspects whose matters were not declined immediately by the United States attorneys. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central System data contain variables from the original EOUSA files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Table 1.1. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
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..
description: Datasets: 
 
 DS1: Dataset
description: Federal Justice Statistics Program Data Series
description: Suspects in federal criminal matters received by United States attorneys or filed before United States magistrates during fiscal year 2008.
DOI: 10.3886/icpsr29428.v1
title: Federal Justice Statistics Program: Arrests and Bookings for Federal Offenses, 2008 [United States]
title: Version 1

description: The data contain records of arrests and bookings for federal offenses in the United States during fiscal year 2008. The data were constructed from the United States Marshals Service (USMS) Prisoner Tracking System database. Records include arrests made by federal law enforcement agencies (including the USMS), state and local agencies, and self-surrenders. Offenders arrested for federal offenses are transferred to the custody of the USMS for processing, transportation, and detention. The Prisoner Tracking System contains data on all offenders within the custody of the USMS. The data file contains variables from the original USMS files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Tables 1.1-1.3. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
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..
description: Datasets: 
 
 DS1: Dataset
description: Federal Justice Statistics Program Data Series
description: Federal offenders in the custody of the United States Marshals Service during fiscal year 2008.
DOI: 10.3886/icpsr29433.v1
title: Federal Justice Statistics Program: Defendants in Federal Criminal Cases -- Terminated, 2008 [United States]
title: Version 1

description: The data contain records of defendants in federal criminal cases terminated in United States District Court during fiscal year 2008. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central System data contain variables from the original EOUSA files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
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..
description: Datasets: 
 
 DS1: Dataset
description: Federal Justice Statistics Program Data Series
description: Defendants in federal criminal cases terminated in United States District Court during fiscal year 2008.
DOI: 10.15156/bio/sh0912547.10fu
title: SH0912547.10FU

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.fscs2m
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Apostenus ochraceus Hadjissarantos, 1940",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098171-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0912548.10fu
title: SH0912548.10FU

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/sh0912549.10fu
title: SH0912549.10FU

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/sh0912550.10fu
title: SH0912550.10FU

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/sh0912551.10fu
title: SH0912551.10FU

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/sh0912552.10fu
title: SH0912552.10FU

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/sh0912553.10fu
title: SH0912553.10FU

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/sh0912554.10fu
title: SH0912554.10FU

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/sh0912555.10fu
title: SH0912555.10FU

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.