PLOSsyphThis is an ASCII file that is space delimited that was created in SAS. It has the variables that were used in the published paper. The readme.sas file is a .sas file that reads the data. You will need to change the infile statement to reflect the path to where you put the data.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
File List Code_and_Data_Supplement.zip (md5: dea8636b921f39c9d3fd269e44b6228c) Description The supplementary material provided includes all code and data files necessary to replicate the simulation models other demographic analyses presented in the paper. MATLAB code is provided for the simulations, and SAS code is provided to show how model parameters (vital rates) were estimated.
The principal programs are Figure_3_4_5_Elasticity_Contours.m and Figure_6_Contours_Stochastic_Lambda.m which perform the elasticity analyses and run the stochastic simulation, respectively.
The files are presented in a zipped folder called Code_and_Data_Supplement. When uncompressed, users may run the MATLAB programs by opening them from within this directory. Subdirectories contain the data files and supporting MATLAB functions necessary to complete execution. The programs are written to find the necessary supporting functions in the Code_and_Data_Supplement directory. If users copy these MATLAB files to a different directory, they must add the Code_and_Data_Supplement directory and its subdirectories to their search path to make the supporting files available.
More details are provided in the README.txt file included in the supplement.
The file and directory structure of entire zipped supplement is shown below.
Folder PATH listing
Code_and_Data_Supplement
| Figure_3_4_5_Elasticity_Contours.m
| Figure_6_Contours_Stochastic_Lambda.m
| Figure_A1_RefitG2.m
| Figure_A2_PlotFecundityRegression.m
| README.txt
|
+---FinalDataFiles
+---Make Tables
| README.txt
| Table_lamANNUAL.csv
| Table_mgtProbPredicted.csv
|
+---ParameterEstimation
| | Categorical Model output.xls
| |
| +---Fecundity
| | Appendix_A3_Fecundity_Breakpoint.sas
| | fec_Cat_Indiv.sas
| | Mean_Fec_Previous_Study.m
| |
| +---G1
| | G1_Cat.sas
| |
| +---G2
| | G2_Cat.sas
| |
| +---Model Ranking
| | Categorical Model Ranking.xls
| |
| +---Seedlings
| | sdl_Cat.sas
| |
| +---SS
| | SS_Cat.sas
| |
| +---SumSrv
| | sum_Cat.sas
| |
| \---WinSrv
| modavg.m
| winCatModAvgfitted.m
| winCatModAvgLinP.m
| winCatModAvgMu.m
| win_Cat.sas
|
+---ProcessedDatafiles
| fecdat_gm_param_est_paper.mat
| hierarchical_parameters.mat
| refitG2_param_estimation.mat
|
\---Required_Functions
| hline.m
| hmstoc.m
| Jeffs_Figure_Settings.m
| Jeffs_startup.m
| newbootci.m
| sem.m
| senstuff.m
| vline.m
|
+---export_fig
| change_value.m
| eps2pdf.m
| export_fig.m
| fix_lines.m
| ghostscript.m
| license.txt
| pdf2eps.m
| pdftops.m
| print2array.m
| print2eps.m
|
+---lowess
| license.txt
| lowess.m
|
+---Multiprod_2009
| | Appendix A - Algorithm.pdf
| | Appendix B - Testing speed and memory usage.pdf
| | Appendix C - Syntaxes.pdf
| | license.txt
| | loc2loc.m
| | MULTIPROD Toolbox Manual.pdf
| | multiprod.m
| | multitransp.m
| |
| \---Testing
| | arraylab13.m
| | arraylab131.m
| | arraylab132.m
| | arraylab133.m
| | genop.m
| | multiprod13.m
| | readme.txt
| | sysrequirements_for_testing.m
| | testing_memory_usage.m
| | testMULTIPROD.m
| | timing_arraylab_engines.m
| | timing_matlab_commands.m
| | timing_MX.m
| |
| \---Data
| Memory used by MATLAB statements.xls
| Timing results.xlsx
| timing_MX.txt
|
+---province
| PROVINCE.DBF
| province.prj
| PROVINCE.SHP
| PROVINCE.SHX
| README.txt
|
+---SubAxis
| parseArgs.m
| subaxis.m
|
+---suplabel
| license.txt
| suplabel.m
| suplabel_test.m
|
\---tight_subplot
license.txt
tight_subplot.m
These data were gathered to provide information on Kahn and Antonucci's life-span developmental model, "convoys of social support," which explores interpersonal relationships over time. Older adults (aged 50+) were interviewed on their health status, labor force status, and other demographic characteristics, and on the composition and degree of closeness of members of their current support network (e.g., spouses, children, friends). Three concentric circles of closeness were defined, varying in terms of transcendence of the relationship beyond role requirements, stability over the life span, and exchange of many different types of support (confiding, reassurance, respect, care when ill, discussion when upset, and talk about health). The principal respondents named a total of 6,341 network members, ranging in age from 18 to 96 years. Detailed structural and functional characteristics were collected from the principal respondents on the first ten named members of each support network. Similar interviews were then conducted with one to three network members of those 259 principal respondents who were 70+ years old. Two data files are provided: Part 1 contains merged data from the interviews of both the principal respondents aged 70+ and their network members, and Part 2 contains data from the principal respondents aged 50+. Datasets: DS0: Study-Level Files DS1: Principals, Aged 70+/Network Data DS2: Principals, Aged 50+ Data DS3: SAS Proc Format Statements for Principals, Aged 70+/Network Data DS4: SAS Input Statements for Principals, Aged 70+/Network Data DS5: SAS Format Statements for Principals, Aged 70+/Network Data DS6: SAS Label Statements for Principals, Aged 70+/Network Data DS7: SAS Missing Value Statements for Principals, Aged 70+/Network Data DS8: SPSS Data List Statements for Principals, Aged 70+/Network Data DS9: SPSS Variable Label Statements for Principals, Aged 70+/Network Data DS10: SPSS Value Label Statements for Principals, Aged 70+/Network Data DS11: SPSS Missing Value Statements for Principals, Aged 70+/Network Data DS12: SAS Proc Format Statements for Principals, Aged 50+ Data DS13: SAS Input Statements for Principals, Aged 50+ Data DS14: SAS Format Statements for Principals, Aged 50+ Data DS15: SAS Label Statements for Principals, Aged 50+ Data DS16: SAS Missing Value Statements for Principals, Aged 50+ Data DS17: SPSS Data List Statements for Principals, Aged 50+ Data DS18: SPSS Variable Label Statements for Principals, Aged 50+ Data DS19: SPSS Value Label Statements for Principals, Aged 50+ Data DS20: SPSS Missing Value Statements for Principals, Aged 50 Data Multistage national probability sample of households with at least one member aged 50 years or older and an oversampling of all household members aged 70 years or older. Additionally, up to three network members were interviewed for each of the respondents aged 70+ (as well as one child and one grandchild if not already named), for a total of 497 network members. There was some overlap between principal respondents and network members: 102 network members were also principal respondents, and 40 were named by more than one principal respondent. The age distribution of the 718 principal respondents was 50-64 years (N = 333), 65-74 years (N = 227), and 75-95 years (N = 158). Persons 50 years and older in households of the United States.
Hm Clause Sas Company Export Import Records. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de444718https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de444718
Abstract (en): 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. 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.. State appellate and trial court cases in the United States. 2005-11-04 On 2005-03-14 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-11-04 to reflect these additions.2003-08-27 Part 45, Appellate Court Data, 2001, and Part 46, Trial Court Data, 2001, have been added to the data collection, along with corresponding SAS and SPSS data definition statements and PDF codebooks.2002-08-13 Part 43, Appellate Court Data, 2000, and Part 44, Trial Court Data, 2000, have been added to the data collection, along with corresponding SAS and SPSS data definition statements and PDF codebooks.2001-10-31 Part 41, Appellate Court Data, 1999, and Part 42, Trial Court Data, 1999, have been added to the data collection, along with corresponding SAS and SPSS data definition statements and PDF codebooks.2000-03-23 Part 39, Appellate Court Data, 1998, and Part 40, Trial Court Data, 1998, have been added to the data collection, along with corresponding SAS and SPSS data definition statements and PDF codebooks.1999-07-16 Part 37, Appellate Court Data, 1997, and Part 38, Trial Court Data, 1997, have been added to the data collection, along with corresponding SAS and SPSS data definition statements and PDF codebooks. Funding insitution(s): State Justice Institute (SJI-91-N-007-001-1). United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics. The Court Statistics Project Web page is: http://www.ncsconline.org/D_Research/csp/CSP_Main_Page.html.A user guide containing court codes and variable descriptions for the 1987 data and the codebooks for the 1995-2001 data are provided as Portable Document Format (PDF) files, and the codebooks for the 1988-1992 data are available in both ASCII text and PDF versions.
https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de433276https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de433276
Abstract (en): Roll call voting records for both chambers of the United States Congress through the second session of the 105th Congress are presented in this data collection. Each data file in the collection contains information for one chamber of a single Congress. The units of analysis in each part are the individual members of Congress. Each record contains a member's voting action on every roll call vote taken during that Congress, along with variables that identify the member (e.g., name, party, state, district, uniform ICPSR member number, and most recent means of attaining office). In addition, the codebook provides descriptive information for each roll call, including the date of the vote, outcome in terms of nays and yeas, name of initiator, the relevant bill or resolution number, and a synopsis of the issue. 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: Checked for undocumented or out-of-range codes.. All roll call votes in the United States Congress. 2010-05-06 Data for the 105th Congress, House, and Senate (Parts 209-210), have been added to this collection, along with the standard ICPSR full product suite of files.2004-06-17 Variables were added to Part 110, Senate (55th Congress), and data within certain variables were corrected. SAS and SPSS data definition statements and the codebook have been modified to reflect these changes.2001-08-24 Logical record length data for the 8th session of the Senate, Part 16, is being made available along with SAS and SPSS data definition statements. The codebook has been modified to reflect these changes.1998-12-17 Data for the 104th Congress, House and Senate (Parts 207-208), have been added to this collection, along with corresponding machine-readable documentation and SAS and SPSS data definition statements.1997-02-24 Data for the 102nd and 103rd Congresses, House, and Senate (Parts 203-206) have been added to this collection, along with corresponding machine-readable documentation and SAS and SPSS data definition statements. The technical format has been standardized for all Congresses. Each file contains data for one chamber of a single Congress.
This is a special file prepared by the Economic Research Service of the U.S. Department of Agriculture. This file was donated to CISER by Mark Lancelle, Department of Rural Sociology, Cornell, in 1984. The file was received as an SPSS file. It was converted to an SAS system file. The only documentation for this file is the SAS Contents Listing. According to that listing, this file contains county level data for various time periods between 1960 and 1980. The Source Statements indicate that the file contains data from the Bureau of Economic Analysis (BEA) Personal Income and Employment series. No such variables can be found in the SAS dataset.
Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
SAS Opposition Exam Dataset
This dataset contains questions and answers from all the exams of the SAS (Servicio Andaluz de Salud) public job offers. The questions and answers are sourced from the official webpage of the Andalusian Health Service here.
Dataset Information
Statement: The question in the exam. Answers: The possible answers for the question. Real Answer: The correct answer for the question. Theme: The topic or subject of the question.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/SASLeaderboard/sas_opposition_exam_data.
https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de441277https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de441277
Abstract (en): This study is part of a time-series collection of national surveys fielded continuously since 1952. The election studies are designed to present data on Americans' social backgrounds, enduring political predispositions, social and political values, perceptions and evaluations of groups and candidates, opinions on questions of public policy, and participation in political life. A Black supplement of 263 respondents, who were asked the same questions that were administered to the national cross-section sample, is included with the national cross-section of 1,571 respondents. In addition to the usual content, the study contains data on opinions about the Supreme Court, political knowledge, and further information concerning racial issues. Voter validation data have been included as an integral part of the election study, providing objective information from registration and voting records or from respondents' past voting behavior. 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.; Standardized missing values.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes.. United States citizens of voting age living in private households in the continental United States. A representative cross-section sample, consisting of 1,571 respondents, plus a Black supplement sample of 263 respondents. 2015-11-10 The study metadata was updated.1999-12-14 The data for this study are now available in SAS transport and SPSS export formats, in addition to the ASCII data file. Variables in the dataset have been renumbered to the following format: 2-digit (or 2-character) year prefix + 4 digits + [optional] 1-character suffix. Dataset ID and version variables have also been added. In addition, SAS and SPSS data definition statements have been created for this collection, and the data collection instruments are now available as a PDF file. face-to-face interview, telephone interviewThe SAS transport file was created using the SAS CPORT procedure.
https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de456771https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de456771
Abstract (en): This is the seventh in a series of surveys conducted by the Bureau of the Census. It contains information on state and local public residential facilities operated by the juvenile justice system during the fiscal year 1982. Each data record is classified into one of six categories: (1) detention center, (2) shelter, (3) reception or diagnostic center, (4) training school, (5) ranch, forestry camp, or farm, and (6) halfway house or group home. Data include state, county, and city identification, level of government responsible for the facility, type of agency, agency identification, resident population by sex, age range, detention status, and offense, and admissions and departures of population. Also included in the data are average length of stay, staffing expenditures, capacity of the facility, and programs and services available. 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: Standardized missing values.; Created online analysis version with question text.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes.. Juvenile detention and correctional facilities operated by state or local governments in the United States in 1982 and 1983. 2007-11-28 Data file was updated to include ready-to-go files and the ASCII codebook was converted to PDF format.2005-11-04 On 2005-03-14 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-11-04 to reflect these additions.1997-02-25 SAS data definition statements are now available for this collection and the SPSS data definition statements were updated. Funding insitution(s): United States Department of Justice. Office of Justice Programs. Office of Juvenile Justice and Delinquency Prevention. Conducted by the United States Department of Commerce, Bureau of the Census
https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de456599https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de456599
Abstract (en): The 1975 census includes juvenile detention and correctional facilities that were operated by state or local governments in November, 1975, and had been in operation at least a month prior to June 30, 1975. There is one record for each juvenile detention facility that had a population of at least 50 percent juveniles. Each record is classified into one of six categories: detention centers or shelters, reception or diagnostic centers, training schools, ranches, forestry camps and farms, and halfway houses and group homes. Data include state, county, and city identification, level of government responsible for the facility, type of agency, agency identification, resident population by sex, age range, detention status, and offense, admissions and departures of population, average length of stay, staffing and expenditures, age and capacity of the facility, and programs and services available. 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: Standardized missing values.; Created online analysis version with question text.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes.. Juvenile detention and correctional facilities operated by state or local governments. 2008-01-29 The data file was updated to include ready-to-go files and the ASCII codebook was converted to PDF format.2005-11-04 On 2005-03-14 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-11-04 to reflect these additions.1997-02-25 SAS data definition statements are now available for this collection and the SPSS data definition statements were updated. Conducted by the United States Department of Commerce, Bureau of the Census.
https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de456669https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de456669
Abstract (en): The 1979 Juvenile Detention and Correctional Facility Census is the sixth in a series of surveys of state and local public residential facilities in the juvenile justice system. There is one record for each juvenile detention facility that had a population of at least 50 percent juveniles. Each record is classified into one of six categories: detention centers or shelters, reception or diagnostic centers, training schools, ranches, forestry camps and farms, and halfway houses and group homes. Data include state, county, and city identification, level of government responsible for the facility, type of agency, agency identification, resident population by sex, age range, detention status, and offense, admissions and departures of population, average length of stay, staffing and expenditures, age and capacity of the facility, and programs and services available. 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: Standardized missing values.; Created online analysis version with question text.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes.. Juvenile detention and correctional facilities operated by state or local governments. 2007-12-11 The data file was updated to include ready-to-go files and the ASCII codebook was converted to PDF format.2005-11-04 On 2005-03-14 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-11-04 to reflect these additions.1997-02-25 SAS data definition statements are now available for this collection and the SPSS data definition statements have been updated. Conducted by the United States Department of Commerce, Bureau of the Census
https://www.elsevier.com/about/policies/open-access-licenses/elsevier-user-license/cpc-license/https://www.elsevier.com/about/policies/open-access-licenses/elsevier-user-license/cpc-license/
Title of program: EQSYSTM Catalogue Id: AAQX_v1_0
Nature of problem This program is designed to operate on a system of equations, making user-specified substitutions and returning for each expression its partial derivatives with respect to a list of specified variables. The output expressions for the derivatives of each input expression, in the form of statements directly usable in other programs, are organized into an array with subscripts corresponding to the variables by which it was differentiated. Output in either PL/1, Fortran, or SAS syntax is available a ...
Versions of this program held in the CPC repository in Mendeley Data AAQX_v1_0; EQSYSTM; 10.1016/0010-4655(81)90085-0
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de456291https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de456291
Abstract (en): This survey is the first broad-based, systematic examination of the nature of civil litigation in state general jurisdiction trial courts. Data collection was carried out by the National Center for State Courts with assistance from the National Association of Criminal Justice Planners and the United States Bureau of the Census. The data collection produced two datasets. Part 1, Tort, Contract, and Real Property Rights Data, is a merged sample of approximately 30,000 tort, contract, and real property rights cases disposed during the 12-month period ending June 30, 1992. Part 2, Civil Jury Cases Data, is a sample of about 6,500 jury trial cases disposed over the same time period. Data collected include information about litigants, case type, disposition type, processing time, case outcome, and award amounts for civil jury cases. 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.; Standardized missing values.; Checked for undocumented or out-of-range codes.. Forty-five jurisdictions chosen to represent the 75 most populous counties in the nation. The sample for this study was designed and selected by the United States Bureau of the Census. It was a two-stage stratified sample with 45 of the 75 most populous counties selected at the first stage. The top 75 counties account for about 37 percent of the United States population and about half of all civil filings. The 75 counties were divided into four strata based on aggregate civil disposition data for 1990 obtained through telephone interviews with court staffs in the general jurisdiction trial courts. The sample consisted of tort, contract, and real property rights cases disposed between July 1, 1991, and June 30, 1992. 2011-11-02 All parts are being moved to restricted access and will be available only using the restricted access procedures.2006-03-30 File CB6587.ALL.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads.2006-03-30 File CB6587.ALL.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads.2006-03-30 File CB6587.ALL.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads.2006-03-30 File CB6587.ALL.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads.2006-03-30 File CB6587.ALL.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads.2005-11-04 On 2005-03-14 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-11-04 to reflect these additions.2004-06-01 The data have been updated by the principal investigator to include replicate weights and a few other variables. The codebook and SAS and SPSS data definition statements have been revised to reflect these changes.2001-03-26 The data have been updated by the principal investigator to include replicate weights. The codebook and SAS and SPSS data definition statements have been revised to reflect these changes.2001-03-26 The data had been updated by the principal investigator to include replicate weights. The codebook and SAS and SPSS data definition statements had been revised to reflect these changes.1997-07-29 The codebook had been revised to correct errors documenting both data files. Column location (and width) of variable WGHT "TOTAL WEIGHT" was incorrectly shown as 10.4 for Part 1, Tort, Contract, and Real Property Data. It was accurately shown in the data definition statements as 9.4. Variables listed after WGHT were inaccurately reported one column off in the codebook. Similarly, column location (and width) of variable WGHT "TOTAL WEIGHT" was incorrectly shown as 10.2 for Part 2, Civil Jury Data. It was accurately shown in the data definition statements as 9.2. Variables listed after WGHT were inaccurately reported one column off in the codebook. Fundi...
https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de444986https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de444986
Abstract (en): This study was conducted to provide a consistent and comprehensive description of convicted persons' entrance into and departure from correctional custody and correctional supervision. To accomplish this goal, data were gathered from official state prison records on topics such as race, sex, and age of inmates, length of time in jail, length of time in prison, and type of offense committed. The data were collected from the state prison systems of 35 states, as well as the Federal Prison System and the California Youth Authority, and the District of Columbia. 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.; Standardized missing values.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes.. All persons incarcerated in prisons in the United States. All people incarcerated in 35 state prisons (plus federal prisons, the California Youth Authority, and the District of Columbia) in 1987. 2010-04-23 The entire NCRP series is being re-released in restricted format.2006-01-12 All files were removed from dataset 6 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 5 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 4 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 6 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 5 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 4 and flagged as study-level files, so that they will accompany all downloads.1997-08-01 The data have been checked for wild or invalid codes, and the codebook and SAS and SPSS data definition statements now document these codes. In addition, the codebook is now available as a PDF file only, and the variable and value labels have been expanded. The appendix to the codebook, previously Part 5, is now part of the codebook, and the SAS and SPSS data definition statement files have been renumbered as a result. Funding insitution(s): United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics. The codebook has some irreparable right column truncation.Conducted by the United States Department of Commerce, Bureau of the Census.
https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de444612https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de444612
Abstract (en): This data collection provides annual data on prisoners under a sentence of death and on prisoners whose sentences were commuted or vacated. The data furnish basic sociodemographic classifications including age, sex, race and ethnicity, marital status at time of imprisonment, level of education, and state and region of incarceration. Criminal history information includes prior felony convictions, prior convictions for criminal homicide, and legal status at the time of the capital offense. Additional information is provided on those inmates removed from death row by yearend 1986, inmates receiving a second capital punishment sentence in 1987, and inmates who were executed. 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: Standardized missing values.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes.. All persons in the United States under sentence of death between 1973 and 1987. 2008-11-12 Minor changes have been made to the metadata.2008-10-30 All parts have been moved to restricted access and are available only using the restricted access procedures.2005-11-04 On 2005-03-14 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-11-04 to reflect these additions.1997-05-30 SAS data definition statements are now available for this collection, and the SPSS data definition statements were updated. Funding insitution(s): United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics. (1) Information in this dataset collected prior to 1972 is in many cases incomplete and reflects vestiges in the reporting process. (2) Users should note that Part 1, the Combined File contains duplicate identification numbers due to changes in the status of some inmates. These identification numbers were assigned by the Bureau of the Census and have no purpose outside this dataset.
https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de456254https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de456254
Abstract (en): This round of Euro-Barometer surveys queried respondents on standard Euro-Barometer measures such as public awareness of and attitudes toward the Common Market and the European Union (EU), and focused on perceptions about and factors affecting blood and plasma donation. Questions solicited opinions about the way blood and plasma are collected and handled, reasons for donating, understanding of the differences between blood and plasma, the necessity of rewards for donating, and sources of information about blood or plasma donation. Respondents were also surveyed about their perceptions of product quality based on country of manufacture, cross-border purchases and customs experiences, a single European currency, women's opinions on EU matters, tobacco smoking habits, AIDS risks, and perceived cancer risks of food products. On EU matters, respondents were asked how well-informed they felt about the EU, what sources of information about the EU they used, whether their country had benefited from being an EU member, and the extent of their personal interest in EU matters. This survey also includes respondent opinions and party preferences for the June 1994 European elections. Demographic and other background information was gathered on number of people residing in the home, size of locality, home ownership, trade union membership, region of residence, and occupation of the head of household, as well as the respondent's age, sex, marital status, education, occupation, work sector, religion, religiosity, subjective social class, left-right political self-placement, and opinion leadership. 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.; Standardized missing values.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes.. Persons aged 15 and over residing in the 12 member nations of the European Union: Belgium, Denmark, France, Germany, Greece, Ireland, Italy, Luxembourg, the Netherlands, Portugal, Spain, and the United Kingdom, as well as in Norway and Finland. Multistage national probability samples. 2005-11-04 On 2005-03-14 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-11-04 to reflect these additions.1998-02-26 The data have been revised and additional standardization of missing data codes was performed. The SPSS data definition statements were also revised. In addition, SAS data definition statements were added to the collection, as well as a full machine-readable codebook with bivariate frequencies, and the data collection instrument is now available as a PDF file. The data collection instrument is provided as a Portable Document Format (PDF) file. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided on the ICPSR Web site.
https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de443535https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de443535
Abstract (en): The purpose of this study was to provide an in-depth look at rapes and attempted rapes in the United States. Part 1 of the collection offers data on rape victims and contains variables regarding the characteristics of the crime, such as the setting, the relationship between the victim and offender, the likelihood of injury, and the reasons why rape is not reported to police. Part 2 contains data on a control group of females who were victims of no crime or of crimes other than rape. The information contained is similar to that found in Part 1. All persons in the United States. A stratified multistage cluster sample. 2005-11-04 On 2005-03-14 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-11-04 to reflect these additions.2000-09-29 SPSS data definition statements were updated and SAS data definition statements were added to this collection. Also, the codebooks and data collection instrument are now available in two PDF files. Funding insitution(s): United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics. The codebooks and data collection instrument for this collection are provided by ICPSR as Portable Document Format (PDF) files. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided on the ICPSR Website.This collection of rape cases was taken from the NATIONAL CRIME SURVEY: NATIONAL SAMPLE, 1973-1983 (ICPSR 7635). The definition of rape in the survey includes attempts that involve a verbal threat of rape only. The data in Part 1 were collected at the incident level. Part 2 data were collected at the person level, with information for up to four incidents per person.
https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de455589https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de455589
Abstract (en): To ensure an accurate sampling frame for its Law Enforcement Management and Administrative Statistics (LEMAS) survey, the Bureau of Justice Statistics periodically sponsors a census of the nation's state and local law enforcement agencies. This census, known as the Directory Survey, includes all state and local law enforcement agencies that are publicly funded and employ at least one full-time or part-time sworn officer with general arrest powers. As in previous years, the 2000 Directory Survey collected data on the number of sworn and nonsworn personnel employed by each agency, including both full-time and part-time employees. The pay period that included June 30, 2000, was the reference date for all personnel data. A 97.4 percent response rate was obtained from the 17,784 state and local law enforcement agencies operating in the United States. This data collection contains June 2000 data from the fourth Directory Survey. Previous directory censuses were conducted in 1986 (DIRECTORY OF LAW ENFORCEMENT AGENCIES, 1986: [UNITED STATES] [ICPSR 8696]), 1992 (DIRECTORY OF LAW ENFORCEMENT AGENCIES, 1992: [UNITED STATES] [ICPSR 2266]), and 1996 (DIRECTORY OF LAW ENFORCEMENT AGENCIES, 1996: [UNITED STATES] [ICPSR 2260]). Variables include personnel totals, type of government, type of agency, and whether the agency had the legal authority to hold a person beyond arraignment for 48 or more hours. 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.. All police and sheriffs' departments that were publicly funded and employed at least one full-time or part-time sworn officer with general arrest powers. inap. 2009-07-08 Personal names, email addresses, IP or web addresses, and odd entries in V17 and V19 were masked. Telephone and fax numbers in V31 and V33 were also masked.2003-05-09 The data file has been replaced to correct errors in the previous release. The SAS and SPSS data definition statements were also updated.2003-04-18 The data file has been replaced to correct errors that appeared in the original file as submitted by the principal investigator. The variable "V1 State" had the data for Oklahoma and Oregon switched and the data for Michigan and Minnesota combined. The SAS and SPSS data definition statements were updated as well. Funding insitution(s): United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics.
https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de441995https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de441995
Abstract (en): This dataset includes selected variables and cases from the Federal Bureau of Investigation's Uniform Crime Reports, 1958-1969, and the County and City Data Books for 1962, 1967, and 1972. Data are reported for all United States cities with a population of 75,000 or more in 1960. Data from the Uniform Crime Reports include for each year the number of homicides, forcible rapes, robberies, aggravated assaults, burglaries, larcenies over 50 dollars, and auto thefts. Also included is the Total Crime Index, which is the simple sum of all the crimes listed above. Selected variables describing population characteristics and city finances were taken from the 1962, 1967, and 1972 County and City Data Books. 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: Standardized missing values.; Checked for undocumented or out-of-range codes.. All cities in the United States with a population of 75,000 or more in 1960. 2005-11-04 On 2005-03-14 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-11-04 to reflect these additions.1997-02-13 SAS and SPSS data definition statements are now available for this collection. Funding insitution(s): United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics. These data were taken from a dataset originally created by Alvin L. Jacobson and were prepared for use in ICPSR's Workshop on Data Processing and Data Management in the Criminal Justice Field in the summer of 1978, with further processing by Colin Loftin.
PLOSsyphThis is an ASCII file that is space delimited that was created in SAS. It has the variables that were used in the published paper. The readme.sas file is a .sas file that reads the data. You will need to change the infile statement to reflect the path to where you put the data.