cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh2040139.08fu
title: SH2040139.08FU

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/sh2040140.08fu
title: SH2040140.08FU

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/sh2040141.08fu
title: SH2040141.08FU

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/sh1359894.08fu
title: SH1359894.08FU

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/sh1359895.08fu
title: SH1359895.08FU

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/sh1359896.08fu
title: SH1359896.08FU

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/sh2040142.08fu
title: SH2040142.08FU

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/sh2040143.08fu
title: SH2040143.08FU

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/sh1359897.08fu
title: SH1359897.08FU

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: 10.3886/icpsr20280.v1
title: State Court Statistics, 2003: [United States]
title: Version 1

description: This data collection provides comparable measures of state appellate and trial court caseloads by type of case for the 50 states, the District of Columbia, and Puerto Rico. Court caseloads are tabulated according to generic reporting categories developed by the Court Statistics Project Committee of the Conference of State Court Administrators. These categories describe differences in the unit of count and the point of count when compiling each court's caseload. Major areas of investigation include (1) case filings in state appellate and trial courts, (2) case processing and dispositions in state appellate and trial courts, and (3) appellate opinions. Within each of these areas of state government investigation, cases are separated by main case type, including civil cases, capital punishment cases, other criminal cases, juvenile cases, and administrative agency appeals.
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: Performed consistency checks.; Checked for undocumented or out-of-range codes..
description: Datasets: 
 
 DS0: Study-Level Files 
 DS1: Appellate Data 
 DS2: Trial Data
description: State Court Statistics Series
description: The Court Statistics Project Web page is: http://www.ncsconline.org/d_research/csp/CSP_Main_Page.html.
description: State appellate and trial court cases in the United States.
DOI: 10.6073/pasta/36f4feb26636f10762c1104054126dc4
title: Headwater Stream Macroinvertebrates of the H.J. Andrews Experimental Forest, Oregon
DOI: 10.3886/icpsr20281.v1
title: State Court Statistics, 2004: [United States]
title: Version 1

description: This data collection provides comparable measures of state appellate and trial court caseloads by type of case for the 50 states, the District of Columbia, and Puerto Rico. Court caseloads are tabulated according to generic reporting categories developed by the Court Statistics Project Committee of the Conference of State Court Administrators. These categories describe differences in the unit of count and the point of count when compiling each court's caseload. Major areas of investigation include (1) case filings in state appellate and trial courts, (2) case processing and dispositions in state appellate and trial courts, and (3) appellate opinions. Within each of these areas of state government investigation, cases are separated by main case type, including civil cases, capital punishment cases, other criminal cases, juvenile cases, and administrative agency appeals.
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: Performed consistency checks.; Checked for undocumented or out-of-range codes..
description: Datasets: 
 
 DS0: Study-Level Files 
 DS1: Appellate Data 
 DS2: Trial Data
description: State Court Statistics Series
description: The Court Statistics Project Web page is: http://www.ncsconline.org/d_research/csp/CSP_Main_Page.html.
description: State appellate and trial court cases in the United States.
DOI: 10.3886/icpsr30786.v1
title: Federal Justice Statistics Program: Offenders Released From Prison, 2009
title: Version 1

description: The data contain records of sentenced offenders released from the custody of the Bureau of Prisons (BOP) during fiscal year 2009. The data include commitments of United States District Court, violators of conditions of release (e.g., parole, probation, or supervised release violators), offenders convicted in other courts (e.g., military or District of Columbia courts), and persons admitted to prison as material witnesses or for purposes of treatment, examination, or transfer to another authority. Records of offenders who exit federal prison temporarily, such as for transit to another location, to serve a weekend sentence, or for health care, are not included in the exiting cohort. These data include variables that describe the offender, such as age, race, citizenship, as well as variables that describe the sentences and expected prison terms. The data file contains original variables from the Bureau of Prisons' SENTRY database, as well as "SAF" variables that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Tables 7.9-7.16. 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: Offenders released from the custody of the United States Bureau of Prisons during fiscal year 2009.
DOI: 10.3886/icpsr30787.v1
title: Federal Justice Statistics Program: Offenders in Prison at Year-End, 2009
title: Version 1

description: The data contain records of sentenced offenders in the custody of the Bureau of Prisons (BOP) at year-end of fiscal year 2009. The data include commitments of United States District Court, violators of conditions of release (e.g., parole, probation, or supervised release violators), offenders convicted in other courts (e.g., military or District of Columbia courts), and persons admitted to prison as material witnesses or for purposes of treatment, examination, or transfer to another authority. These data include variables that describe the offender, such as age, race, citizenship, as well as variables that describe the sentences and expected prison terms. The data file contains original variables from the Bureau of Prisons' SENTRY database, as well as "SAF" variables that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Tables 7.9-7.16. 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: Offenders in the custody of the United States Bureau of Prisons at year-end of fiscal year 2009.
DOI: 10.3886/icpsr30802.v1
title: Diplomatic Recognition of Taiwan (the Republic of China) From 1950-2007
title: Version 1

description: Diplomatic recognition is generally seen as fundamental to the modern state system. While traditional studies of recognition focus on political or ideological rationales and presume a level of stability in diplomatic recognition, in the diplomatic battle between Taiwan and China neither of these assumptions hold. This is, to my knowledge, the only attempt to quantify diplomatic recognition and covers 1950-2007 for all independent sovereign nations. The paper generated from this dataset "Status for Sale: Taiwan, and the Competition for Diplomatic Recognition" finds that, counter to conventional wisdom, economic factors dictate whether a country recognizes Taiwan and that levels of democracy and other commonly proposed factors in the qualitative literature fail to reach significance.
description: Datasets: 
 
 DS1: Dataset
description: face-to-face interview 
The zipped package contains a Microsoft Excel file, which includes the data, tables, and figures used in the publication.
These data are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigators if further information is desired.
description: countries, 1950-2007
DOI: 10.3886/icpsr23860.v1
title: Committee Decisions on Monetary Policy: Evidence From Historical Records of the Federal Open Market Committee
title: Version 1

description: This data collection was used in the book, "Committee Decisions on Monetary Policy: Evidence from Historical Records of the Federal Open Market Committee," by Henry Chappell, Rob Roy McGregor, and Todd Vermilyea, which examined the monetary policy preferences of members of the Federal Reserve's Federal Open Market Committee (FOMC) and the process by which its members' preferences were translated into policy decisions. Chapter 4 Data files related to Chapter 4 of the book are contained in: Ch04WebFiles.zip. See the readme file contained within that zip file for documentation. Chapter 5 All data described in Chapter 5 is subsequently employed in Chapters 6-8. Descriptions are provided below in the sections for those chapters. Chapter 6 Data files related to Chapter 6 are contained in Chapter06_Data_for_Web.zip. See the readme file contained within that zip file for documentation. Many data files for Chapter 6 are the same as those used in Chapter 7. More details are provided below for Chapter 7. Chapter 7 Data and programs for this chapter come from the JMCB article from which the chapter is drawn. Data files related to the JMCB article are contained in: ChappellMcGregorVermilyea_Data_011503.zip. See the JMCB.pdf file contained within that zip file for documentation. Section 7.5.2 of this chapter also uses data describing the order of speaking within meetings. We have used this data more extensively in our working paper, "The Persuasive Power of the Chairman: Arthur Burns and the FOMC." Data for that paper is provided in the: WEA_BeforeAfter_Data_Archive.zip. Chapter 8 Much of the data (and methods) used in Chapter 6 are used again in Chapter 8. Relevant data and program files and documentation are provided in: Chapter08_Data_for Web.zip.
description: Datasets: 
 
 DS1: Dataset
description: These data are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.
DOI: 10.3886/icpsr23980.v1
title: Age Discrimination, an Audit Study: 2002-2003 in Boston, Massachusetts, and St. Petersburg, Florida
title: Version 1

description: As baby boomers reach retirement age, demographic pressures on public programs may cause policy makers to cut benefits and encourage employment at later ages. But how much demand exists for older workers? This study focuses on a field experiment to determine hiring conditions for women ages 35 to 62 in entry-level or close to entry-level jobs in Boston, Massachusetts and St. Petersburg, Florida. Pairs of computer-randomized resumes were sent to employers in these two cities. Response rates were measured by age, as indicated on each resume by date of high school graduation. Applicants' working history, job choice, certifications, volunteer experience as well as their education and age have been evaluated in this study. Other questions focused on job advertisement and interviewing process.
description: none
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.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes..
description: Response Rates: Massachusetts: 10.3 percent any response, Florida: 11.67 percent any response
description: Datasets: 
 
 DS0: Study-Level Files 
 DS1: Florida File 
 DS2: Massachusetts File
description: mixed mode 
For contextual information about the variables in the data collection, please see: Lahey, Joanna N. "Age, Women, and Hiring: An Experimental Study." Journal of Human Resources 43.1 (2008): 30-56.
description: Firms in the greater Boston, Massachusetts, and St. Petersburg, Florida, areas that advertised for entry-level employment positions between February 2002 and February 2003. Smallest Geographic Unit: state
description: For sampling information, please see: Lahey, Joanna N. "Age, Women, and Hiring: An Experimental Study." Journal of Human Resources 43.1 (2008): 30-56.