cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19178261
title: <i>GSTM1</i> and <i>GSTT1</i> polymorphisms in healthy volunteers – a worldwide systematic review

description: The <i>GSTM1</i> and <i>GSTT1</i> genes encode homonymous enzymes, which are responsible for the detoxification of several substances potentially harmful to the human body, such as air pollution, drugs, pesticides, and tobacco. However, some individuals may present a complete deletion of these genes and, consequently, an enzyme deficiency leading to an inadequate metabolism and, therefore, a higher susceptibility to some clinical conditions. Interethnic variations have also been described for both genes, making necessary the study of the deletion frequencies of <i>GSTM1</i> and <i>GSTT1</i> in different populations around the world. So, the aim of this study was to enable the synthesis and discussion of the main population differences of <i>GSTM1</i> and <i>GSTT1</i> polymorphisms in healthy volunteers. Searches were performed in the PubMed database, including 533 articles and 178,566 individuals in the analyses. We found an overrepresentation of European individuals and studies, and an underrepresentation of non-European ethnicities. Moreover, there are significant frequency differences among distinct ethnic groups: East Asians present the highest frequencies worldwide for <i>GSTM1</i> and <i>GSTT1</i> deletions, which could suggest higher disorders risk for this population; in contrast, Sub-Saharan Africans presented the lowest frequency of <i>GSTM1</i> worldwide, corroborating evolution inferences performed previously for other genes codifying metabolism enzymes. Also, admixture is a relevant component when analyzing frequency values for both genes, but further studies focusing on this subject are warranted.
DOI: 10.15785/sbgrid/904
title: X-Ray Diffraction data from STRUCTURE of the Bacteriophytochrome Response Regulator AtBrr at 1.9 Angstrom resolution, source of 5BRJ structure

description: Bacterial Response regulator from Agrobacterium Tumefaciens.
description: Processed with HKL2000. Molecular replacement solution from 5IC5. (0.97872) Frames from 1-183 were processed.
DOI: 10.3886/icpsr26725.v1
title: Consumer Expenditure Survey, 2008: Interview Survey and Detailed Expenditure Files
title: Version 1

description: The ongoing Consumer Expenditure Survey (CES) provides a continuous flow of information on the buying habits of American consumers and also furnishes data to support periodic revisions of the Consumer Price Index.
description: National probability sample of households designed to respresent the total noninstitutionalized civilian population.
description: Datasets: DS1: Consumer Expenditure Survey, 2008: Interview Survey and Detailed Expenditure Files
description: Noninstitutionalized civilian population of the United States.
description: computer-assisted personal interview (CAPI); face-to-face interviewThese data 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.
DOI: 10.3886/icpsr26724.v1
title: Consumer Expenditure Survey, 2008: Diary Survey
title: Version 1

description: The ongoing Consumer Expenditure Survey (CES) provides a continuous flow of information on the buying habits of American consumers and also furnishes data to support periodic revisions of the Consumer Price Index.
description: National probability sample of households designed to represent the total noninstitutionalized civiliam population.
description: Datasets: DS1: Consumer Expenditure Survey, 2008: Diary Survey
description: Noninstitutionalized civilian population of the United States.
description: computer-assisted personal interview (CAPI); face-to-face interviewThese data 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.
DOI: 10.3886/icpsr26724
title: Consumer Expenditure Survey, 2008: Diary Survey
title: Archival Version

description: The ongoing Consumer Expenditure Survey (CES) provides a continuous flow of information on the buying habits of American consumers and also furnishes data to support periodic revisions of the Consumer Price Index.
description: National probability sample of households designed to represent the total noninstitutionalized civiliam population.
description: Datasets: DS1: Consumer Expenditure Survey, 2008: Diary Survey
description: Noninstitutionalized civilian population of the United States.
description: computer-assisted personal interview (CAPI); face-to-face interviewThese data 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.
DOI: 10.5281/zenodo.6478731
title: On the application of an observations-based machine learning parameterization of surface layer fluxes within an atmospheric large-eddy simulation model: Trained Models

description: Trained machine learning models and scaling values used in the paper "On the application of an observations-based machine learning parameterization of surface layer fluxes within an atmospheric large-eddy simulation model."
DOI: 10.5281/zenodo.20354
title: pink-chum-database

description: This is the pink and chum salmon stock-recruitment database
DOI: 10.6084/m9.figshare.19640181.v1
title: NSSI Scenarios Research Priorities for North Slope of Alaska

description: These data show the top research and monitoring priorities in relation to scenarios of energy development on the North Slope of Alaska (see Vargas Moreno et al. 2015). These identified research priorities are compared to the existing and planned research activities by NSSI member agencies and partners six years after the scenarios workshops were completed. <br> Related report: Vargas-Moreno, J.C., B. Fradkin, S. Emperador, O. Lee, (eds). 2016. Prioritizing Science Needs Through Participatory Scenarios for Energy and Resource Development on the North Slope and Adjacent Seas. GeoAdaptive, LLC, Boston, Massachusetts.
DOI: 10.6084/m9.figshare.19640181
title: NSSI Scenarios Research and Monitoring Priorities for the North Slope of Alaska

description: These data show the top research and monitoring priorities in relation to scenarios of energy development on the North Slope of Alaska (see Vargas Moreno et al. 2015). These identified research priorities are compared to the existing and planned research activities by NSSI member agencies and partners six years after the scenarios workshops were completed. <br> Related report: Vargas-Moreno, J.C., B. Fradkin, S. Emperador, O. Lee, (eds). 2016. Prioritizing Science Needs Through Participatory Scenarios for Energy and Resource Development on the North Slope and Adjacent Seas. GeoAdaptive, LLC, Boston, Massachusetts.
DOI: 10.6084/m9.figshare.19640181.v3
title: NSSI Scenarios Research and Monitoring Priorities for the North Slope of Alaska

description: These data show the top research and monitoring priorities in relation to scenarios of energy development on the North Slope of Alaska (see Vargas Moreno et al. 2015). These identified research priorities are compared to the existing and planned research activities by NSSI member agencies and partners six years after the scenarios workshops were completed. <br> Related report: Vargas-Moreno, J.C., B. Fradkin, S. Emperador, O. Lee, (eds). 2016. Prioritizing Science Needs Through Participatory Scenarios for Energy and Resource Development on the North Slope and Adjacent Seas. GeoAdaptive, LLC, Boston, Massachusetts.
DOI: 10.6084/m9.figshare.19640181.v2
title: NSSI Scenarios Research and Monitoring Priorities for North Slope of Alaska

description: These data show the top research and monitoring priorities in relation to scenarios of energy development on the North Slope of Alaska (see Vargas Moreno et al. 2015). These identified research priorities are compared to the existing and planned research activities by NSSI member agencies and partners six years after the scenarios workshops were completed. <br> Related report: Vargas-Moreno, J.C., B. Fradkin, S. Emperador, O. Lee, (eds). 2016. Prioritizing Science Needs Through Participatory Scenarios for Energy and Resource Development on the North Slope and Adjacent Seas. GeoAdaptive, LLC, Boston, Massachusetts.
DOI: 10.5281/zenodo.6478751
title: pink-chum-database

description: This is the pink and chum salmon stock-recruitment database
DOI: 10.5281/zenodo.593879
title: pink-chum-database

description: This is the pink and chum salmon stock-recruitment database
DOI: 10.26078/ng5a-9f05
title: Data for Dancing
DOI: 10.3886/icpsr27141.v1
title: Cotton Spinning Machinery Orders, British Textile Machinery Firms, 1878-1933
title: Version 1

description: This was a long-term study of the diffusion of cotton-spinning technologies from Britain to emerging textile industries around the world. Cotton manufacturing was the first global industry, and the dataset provides information on orders covering roughly 90 percent of world trade in these machines. Virtually every major national cotton industry is covered, the major exception being the United States of America (whose textiles industry was supplied primarily by the protected textile machinery industry). The orders include detailed information about machine specifications, such as frame size, machine speed, the yarn count for which the machine is designed, and the types of raw cotton to be utilized. A specific issue that motivated the research project was the choice between mule spinning and ring spinning, on which national patterns diverged widely. There is an extensive literature on this topic, to which Saxonhouse and Wright contributed. See most recently: "Technological Evolution in Cotton Spinning, 1878-1933," in Douglas A. Farnie and David J. Jeremy (eds.), <strong>The Fibre that Changed the World: The Cotton Industry in International Perspective, 1600-1990s</strong> (Oxford: Oxford University Press, 2004).
description: Datasets: DS1: Cotton Spinning Machinery Orders, British Textile Machinery Firms, 1878-1933
description: Virtually every spinning-machine order from the textile-machinery firms whose internal company records are now archived at the Lancashire Public Record Office in Preston, United Kingdom. The records of some firms have not been saved, but the dataset covers the great majority of sales, both foreign and domestic.
description: Gary Saxonhouse, Department of Economics, University of Michigan, assisted by John Brown of Clark University, was a special collaborator on this data collection.These data are distributed exactly as they arrived from the data depositor. ICPSR has not processed this material.
DOI: 10.3886/icpsr27261.v1
title: Survey of Campus Law Enforcement Agencies, 2004-2005: [United States]
title: Version 1

description: This survey covered the 2004-2005 academic year and collected data from law enforcement agencies using sworn police officers and those using only non-sworn security officers. Agencies serving 4-year United States universities and colleges with a fall 2004 enrollment of 2,500 or more, and those serving 2-year public colleges with a fall 2004 enrollment of 10,000 or more were surveyed. United States military academies and for-profit institutions were excluded. Data were collected in conjunction with the 2004 BJS Census of State and Local Law Enforcement Agencies. The survey instrument was patterned after the BJS Law Enforcement Management and Administrative Statistics survey. Data were collected describing campus law enforcement agencies, including personnel, expenditures and pay, operations, equipment, computers and information systems, policies, and special programs. BJS conducted an earlier survey of campus law enforcement agencies, covering the 1994-1995 school year. Users can access the data collection from the ICPSR Web site (ICPSR 6846).
description: The 2004-2005 survey was initially conducted as a web-only data collection. Follow-up efforts provided agencies with fax and mail-in response options. Nearly two-thirds of responses were received electronically through the survey website. The remainder were received by mail or fax. For agencies not responding to the full survey, an abbreviated survey instrument was used, giving agencies the opportunity to provide data on type and number of personnel, use of sworn officers, use of armed officers, physical campus characteristics, and number of crimes reported to campus law enforcement authorities. All non-respondents provided at least some of this information.
description: Response Rates: The final response rate was 82 percent, with 749 of 913 potential respondents participating in the survey. Nearly two-thirds (65 percent) of responses were received electronically through the survey Web site. The remainder were received by mail or fax. Among 4-year institutions, 606 of 750 agencies responded to the full survey, for a response rate of 81 percent. Among 2-year institutions, 143 of 163 agencies responded to the full survey, for a response rate of 88 percent.
description: Agencies serving 4-year United States universities and colleges with a fall 2004 enrollment of 2,500 or more, and those serving 2-year public colleges with a fall 2004 enrollment of 10,000 or more were surveyed. United States military academies and for-profit institutions were excluded.
description: Datasets: DS1: Survey of Campus Law Enforcement Agencies, 2004-2005: [United States]
description: All four-year institutions of higher education within the United States with 2,500 or more students.
DOI: 10.5281/zenodo.6478776
title: Exogenous oxidative stressors elicit differing age and sex effects

description: Data and scripts for the manuscript entitled "Exogenous oxidative stressors elicit differing age and sex effects" submitted to <em>Experimental Gerontology. </em>
DOI: 10.5281/zenodo.6478771
title: Deep learning for ecology and evolution

description: Supplementary table with references on deep learning in ecology and evolution. Includes reference information with URLs and abstracts.
DOI: 10.3886/icpsr27642.v1
title: Uniform Crime Reporting Program Data [United States]: Arrests by Age, Sex, and Race, 2008
title: Version 1

description: These data provide information on the number of arrests reported to the Federal Bureau of Investigation's Uniform Crime Reporting (UCR) Program each year by police agencies in the United States. These arrest reports provide data on 43 offenses including violent crime, drug use, gambling, and larceny. The data received by ICPSR were structured as a hierarchical file containing (per reporting police agency) an agency header record, 1 to 12 monthly header records, and 1 to 43 detail offense records containing the counts of arrests by age, sex, and race for a particular offense. ICPSR restructured the original data to a rectangular format.
description: Datasets: DS1: Uniform Crime Reporting Program Data [United States]: Arrests by Age, Sex, and Race, 2008
description: Arrests reported to the Federal Bureau of Investigation's Uniform Crime Reporting program. Smallest Geographic Unit: states, counties, cities
description: mail questionnaire; on-site questionnaire
DOI: 10.3886/icpsr27643.v1
title: Uniform Crime Reporting Program Data [United States]: Arrests by Age, Sex, and Race, Summarized Yearly, 2008
title: Version 1

description: These data provide information on the number of arrests reported to the Federal Bureau of Investigation's Uniform Crime Reporting (UCR) Program each year by police agencies in the United States. These arrest reports provide data on 43 offenses including violent crime, drug use, gambling, and larceny. The data received by ICPSR were structured as a hierarchical file containing, per reporting police agency: an agency header record, and 1 to 43 detail offense records containing the counts of arrests by age, sex, and race for a particular offense. ICPSR restructured the original data to logical record length format with the agency header record variables copied onto the detail records. Consequently, each record contains arrest counts for a particular agency-offense.
description: Datasets: DS1: Uniform Crime Reporting Program Data [United States]: Arrests by Age, Sex, and Race, Summarized Yearly, 2008
description: Arrests reported to the Federal Bureau of Investigation's Uniform Crime Reporting program. Smallest Geographic Unit: states, counties, cities
description: computer-assisted self interview (CASI); on-site questionnaire
DOI: 10.5281/zenodo.6478787
title: Cultural importance and sources of the Lamiaceae taxa used in rural Bulgaria

description: -
DOI: 10.5281/zenodo.6478786
title: Cultural importance and sources of the Lamiaceae taxa used in rural Bulgaria

description: -
DOI: 10.3886/icpsr27645.v1
title: Uniform Crime Reporting Program Data [United States]: Hate Crime Data, 2008 [Record-Type Files]
title: Version 1

description: In response to a growing concern about hate crimes, the United States Congress enacted the Hate Crime Statistics Act of 1990. The Act requires the attorney general to establish guidelines and collect, as part of the Uniform Crime Reporting (UCR) Program, data "about crimes that manifest evidence of prejudice based on race, religion, sexual orientation, or ethnicity, including where appropriate the crimes of murder and non-negligent manslaughter, forcible rape, aggravated assault, simple assault, intimidation, arson, and destruction, damage or vandalism of property." Hate crime data collection was required by the Act to begin in calendar year 1990 and to continue for four successive years. In September 1994, the Violent Crime Control and Law Enforcement Act amended the Hate Crime Statistics Act to add disabilities, both physical and mental, as factors that could be considered a basis for hate crimes. Although the Act originally mandated data collection for five years, the Church Arson Prevention Act of 1996 amended the collection duration "for each calendar year," making hate crime statistics a permanent addition to the UCR program. As with the other UCR data, law enforcement agencies contribute reports either directly or through their state reporting programs. Information contained in the data includes number of victims and offenders involved in each hate crime incident, type of victims, bias motivation, offense type, and location type.
description: Datasets: DS0: Study-Level Files DS1: Batch Header File DS2: Incident Record File
description: Hate crime incidents reported by law enforcement agencies in the United States. Smallest Geographic Unit: state, county, jurisdiction
description: computer-assisted self interview (CASI); self-enumerated questionnaireThe original hierarchical file has been split into two files: a Batch Header File and an Incident Record File. The Batch Header File contains a record for each law enforcement agency whether or not they reported an incident. The Batch Header File variables are merged into the Incident Record File for those agencies that reported an incident.Each victim-type variable has been split into eight separate flag variables to record each victim type. Previously, the variables were eight-character strings that contained the first letter of each victim type in any order.
DOI: 10.3886/icpsr27646.v1
title: Uniform Crime Reporting Program Data [United States]: Police Employee (LEOKA) Data, 2008
title: Version 1

description: Since 1930, the Federal Bureau of Investigation has compiled the Uniform Crime Reports (UCR) to serve as a periodic nationwide assessment of reported crimes not available elsewhere in the criminal justice system. Each year, this information is reported in four types of files: (1) Offenses Known and Clearances by Arrest, (2) Property Stolen and Recovered, (3) Supplementary Homicide Reports (SHR), and (4) Police Employee (LEOKA) Data. The Police Employee (LEOKA) Data provide information about law enforcement officers killed or assaulted (hence the acronym, LEOKA) in the line of duty. The variables created from the LEOKA forms provide in-depth information on the circumstances surrounding killings or assaults, including type of call answered, type of weapon used, and type of patrol the officers were on.
description: Datasets: DS1: Uniform Crime Reporting Program Data [United States]: Police Employee (LEOKA) Data, 2008
description: Law enforcement officers killed or assaulted as reported by law enforcement agencies.
description: self-enumerated questionnaireStarting with the year 1998, each of the four parts of the UCR data collection archived by ICPSR is released as a separate study under its own study number. The Police Employee data for the years 1975-1997 can be found in UNIFORM CRIME REPORTING PROGRAM DATA [UNITED STATES]: 1975-1997 (ICPSR 9028).
DOI: 10.3886/icpsr27648.v1
title: Uniform Crime Reporting Program Data [United States]: Offenses Known and Clearances by Arrest, 2008
title: Version 1

description: Since 1930, the Federal Bureau of Investigation has compiled the Uniform Crime Reports (UCR) to serve as periodic nationwide assessments of reported crimes not available elsewhere in the criminal justice system. Law enforcement agencies contribute reports either directly or through their state reporting programs. Each year, summary data are reported in four types of files: (1) Offenses Known and Clearances by Arrest, (2) Property Stolen and Recovered, (3) Supplementary Homicide Reports (SHR), and (4) Police Employee (LEOKA) Data. The Offenses Known and Clearances by Arrest data files include monthly data on the number of Crime Index offenses reported and the number of offenses cleared by arrest or other means. The counts include all reports of Index crimes (excluding arson) received from victims, officers who discovered infractions, or other sources.
description: inap.
description: Datasets: DS1: Uniform Crime Reporting Program Data [United States]: Offenses Known and Clearances by Arrest, 2008
description: Index crimes reported by law enforcement agencies in the United States.
description: self-enumerated questionnaireStarting with the year 1998, each of the four types of UCR summary data archived by ICPSR is released as a separate study under its own study number. Offenses Known and Clearances by Arrest data for the years 1975-1997 can be found in UNIFORM CRIME REPORTING PROGRAM DATA: [UNITED STATES]: 1975-1997 (ICPSR 9028).
DOI: 10.3886/icpsr27650.v2
title: Uniform Crime Reporting Program Data [United States]: Supplementary Homicide Reports, 2008
title: Version 2

description: Since 1930, the Federal Bureau of Investigation has compiled the Uniform Crime Reports (UCR) to serve as a periodic nationwide assessment of reported crimes not available elsewhere in the criminal justice system. Each year, this information is reported in four types of files: (1) Offenses Known and Clearances by Arrest, (2) Property Stolen and Recovered, (3) Supplementary Homicide Reports (SHR), and (4) Police Employee (LEOKA) Data. The Supplementary Homicide Reports provide incident-based information on criminal homicides reported to the police. These homicides consist of murders, non-negligent manslaughter, and justifiable homicides. The data, provided monthly by UCR agencies, contain information describing the victim of the homicide, the offender, and the relationship between victim and offender.
description: Datasets: DS1: Uniform Crime Reporting Program Data [United States]: Supplementary Homicide Reports, 2008
description: Homicide incidents reported by law enforcement agencies.
description: self-enumerated questionnaireStarting with the year 1998, each of the four parts of the UCR data collection archived by ICPSR is released as a separate study under its own study number. The Supplementary Homicide Reports data for the years 1975-1997 can be found in UNIFORM CRIME REPORTING PROGRAM DATA [UNITED STATES]: 1975-1997 (ICPSR 9028).This data collection was produced by the United States Department of Justice, Federal Bureau of Investigation.