cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr36270
title: Developing and Testing a Culturally Relevant Model to Understand Financial Maltreatment of Chinese American Elders, Phoenix, Arizona, 2015
title: Archival Version

description: This study aimed to describe the prevalence of financial maltreatment, and to identify culture related risk factors of financial maltreatment, among a group of Chinese American elders living in the Phoenix metropolitan area. Researchers sought solutions to financial neglect and exploitation of Chinese American elders who have enormous adaptive challenges and lack a harmonious and supportive family environment, as well as frameworks for understanding the cultural environment that can be used by social workers, law enforcement, and service providers.
description: The aim of this study is to provide helping professionals including Adult Protective Services (APS) workers, aging service providers and law enforcement workers a framework to understand financial maltreatment and its correlates among Chinese American older adults.
description: Mixed methods consisting of focus group interviews and survey were used. Three focus groups of Chinese American elders and one group of service professionals shared their insights into financial exploitation and neglect of this population, and contributed to the refinement of assessment tools used in the followed survey. Three hundred twenty-five elders (Mage =75.6, SD = 7.00) participated in the survey.
description: Variables covered financial status, instances of financial neglect or abuse, instances of physical abuse, family relationships, knowledge of resources for the elderly, immigration status and history, and living situation.
description: Response Rates: 92%
description: Purposive sampling was used and participants were recruited from various sources, including the Chinese senior center, social clubs, church groups, and interest groups, to maximize their variance in socioeconomic status and religious backgrounds. The Phoenix Chinese senior center and three Chinese senior housing facilities in Phoenix offered their assistance with participant recruitment for focus group interviews and the followed survey.
description: Datasets: DS1: Developing and Testing a Culturally Relevant Model to Understand Financial Maltreatment of Chinese American Elders, Phoenix, Arizona, 2015
description: Chinese and Chinese-American elders in the Phoenix metropolitan area.
description: face-to-face interviewQualitative data that assisted in the development of the survey was collected prior to the study time period for this study. That qualitative data is not included in the ICPSR release.
DOI: 10.3886/icpsr36432
title: Projecting Violent Re-Offending in a Parole Population: Developing a Real-Time Forecasting Procedure to Inform Parole Decision-Making, Pennsylvania, 2012-2014
title: Archival Version

description: The University of Pennsylvania, in collaboration with the Pennsylvania Board of Probation and Parole (PBPP), began developing a violent forecast model utilizing the machine learning procedure random forest. By the spring of 2013, the forecasts were provided to decision makers prior to parole interviews. The violent forecast model (VFM) measures the extent to which offenders are likely to reoffend as indicated by future arrest. The VFM is a violence classification forecast and not an individual case prediction regarding offender behavior. Purpose The purpose of this research was to evaluate the impact of introducing forecasts of "future dangerousness" into PBPP's decision making process during parole interviews. The researcher anticipated that having available a sufficiently reliable forecast, particularly within the violent category, would reduce the likelihood of a parole release. The null hypothesis tested was that there would be no difference in parole release decisions when comparing two similar groups of offenders where during one group of parole interviews the decision maker had a forecast available and the other group of interviews there was not a forecast available.
description: The purpose of this research was to evaluate the impact of introducing forecasts of "future dangerousness" into the Pennsylvania Board of Probation and Parole's decision making process during parole interviews.
description: The population consisted of offenders who were interviewed for parole. A quasi-experimental design approach was utilized as some decision makers were provided the forecasts prior to the interviews, while others were not. Random sampling in which the treatment group were the interviewed parolees whose forecasts were available at the time of the interview were compared to the control group who did not have a forecast at the time of interview.
description: Datasets: DS0: Study-Level Files DS1: Decision Impact Dataset DS2: Recidivism Outcome 2013 Dataset DS3: Performance Control Case Dataset DS4: VFM Master Dataset
description: Pennsylvania Parolees. Smallest Geographic Unit: State
description: record abstractsThe violence forecasts are developed using the machine learning procedure random forests.
DOI: 10.3886/icpsr37328
title: 21st Century Corporate Financial Fraud, United States, 2005-2010
title: Archival Version

description: The Corporate Financial Fraud project is a study of company and top-executive characteristics of firms that ultimately violated Securities and Exchange Commission (SEC) financial accounting and securities fraud provisions compared to a sample of public companies that did not. The fraud firm sample was identified through systematic review of SEC accounting enforcement releases from 2005-2010, which included administrative and civil actions, and referrals for criminal prosecution that were identified through mentions in enforcement release, indictments, and news searches. The non-fraud firms were randomly selected from among nearly 10,000 US public companies censused and active during at least one year between 2005-2010 in Standard and Poor's Compustat data. The Company and Top-Executive (CEO) databases combine information from numerous publicly available sources, many in raw form that were hand-coded (e.g., for fraud firms: Accounting and Auditing Enforcement Releases (AAER) enforcement releases, investigation summaries, SEC-filed complaints, litigation proceedings and case outcomes). Financial and structural information on companies for the year leading up to the financial fraud (or around year 2000 for non-fraud firms) was collected from Compustat financial statement data on Form 10-Ks, and supplemented by hand-collected data from original company 10-Ks, proxy statements, or other financial reports accessed via Electronic Data Gathering, Analysis, and Retrieval (EDGAR), SEC's data-gathering search tool. For CEOs, data on personal background characteristics were collected from Execucomp and BoardEx databases, supplemented by hand-collection from proxy-statement biographies.
description: The data include all securities and accounting fraud violations by US public companies for which the Securities and Exchange Commission (SEC) issued one or more enforcement releases during 2005-2010. Enforcement releases were aggregated to the case-level and assigned to the primary company under investigation, resulting in 333 fraud firms with violations initiated between 1997 and 2010. The non-fraud control group of 724 companies was randomly selected from among 9,991 public firms in existence at least one year during 2000-2005 in Standard and Poor's Compustat database on public companies, after excluding broker-dealers and non-traded securities, foreign-incorporated entities, and firms not reporting total assets or 2-digit industry.
description: Datasets: DS0: Study-Level Files DS1: CEO Dataset DS2: Firm Dataset
description: US-incorporated public companies under Securities and Exchange Commission (SEC) jurisdiction and company-CEOs. Smallest Geographic Unit: United States
DOI: 10.3886/icpsr24083
title: Federal Justice Statistics Program: Defendants Charged in Criminal Cases Filed in District Court, 1999 [United States]
title: Archival Version

description: The data contain records of defendants in federal criminal cases filed in United States District Court during fiscal year 1999. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central System data contain variables from the original EOUSA files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: DS1: Federal Justice Statistics Program: Defendants Charged in Criminal Cases Filed in District Court, 1999 [United States]
description: Defendants in federal criminal cases filed in United States District Court during fiscal year 1999.
DOI: 10.3886/icpsr24102
title: Federal Justice Statistics Program: Defendants Charged in Criminal Cases Filed in District Court, 2000 [United States]
title: Archival Version

description: The data contain records of defendants in federal criminal cases filed in United States District Court during fiscal year 2000. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central System data contain variables from the original EOUSA files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: DS1: Federal Justice Statistics Program: Defendants Charged in Criminal Cases Filed in District Court, 2000 [United States]
description: Defendants in federal criminal cases filed in United States District Court during fiscal year 2000.
DOI: 10.3886/icpsr36334
title: Federal Justice Statistics Program: Defendants Charged in Criminal Cases Filed in District Court, 2013
title: Archival Version

description: The data contain records of defendants in federal criminal cases filed in United States District Court during fiscal year 2013. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central System data contain variables from the original EOUSA files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by Abt and the Bureau of Justice Statistics. Data and documentation were prepared by Abt.
description: Datasets: DS1: Federal Justice Statistics Program: Defendants Charged in Criminal Cases Filed in District Court, 2013
description: Defendants in federal criminal cases filed in United States District Court during fiscal year 2013.
DOI: 10.3886/icpsr36704
title: Federal Justice Statistics Program: Defendants Charged in Criminal Cases Filed in District Court, 2014
title: Archival Version

description: The data contain records of defendants in federal criminal cases filed in United States District Court during fiscal year 2014. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central System data contain variables from the original EOUSA files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by Abt and the Bureau of Justice Statistics. Data and documentation were prepared by Abt.
description: Datasets: DS1: Federal Justice Statistics Program: Defendants Charged in Criminal Cases Filed in District Court, 2014
description: Defendants in federal criminal cases filed in United States District Court during fiscal year 2014.
DOI: 10.15468/dl.tq6xkf
title: Occurrence Download

description: A dataset containing 4088 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (ff90b050-c256-11db-b71b-b8a03c50a862, 6ea87510-0561-11d8-b851-b8a03c50a862, 8edbbde0-055e-11d8-b850-b8a03c50a862, 814cdfb5-d4f8-4453-815f-ea5df98e76bf, 52c8f620-1816-11da-9544-b8a03c50a862, 493fe050-055d-11d8-b84f-b8a03c50a862, b554c320-0560-11d8-b851-b8a03c50a862, 66522820-055c-11d8-b84e-b8a03c50a862, 4cadac10-3e7b-11d9-8439-b8a03c50a862)",
 "TaxonKey is Dryophytes eximius (Baird, 1854)",
 "Year 1960-2025"
 ]
}

 The dataset includes 4088 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022855-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr37169
title: Addressing Under-reporting of Minor Victim Sex Trafficking, Florida, 2011-2017
title: Archival Version

description: This study addresses the underreporting of minor victim sex trafficking, by describing the number and characteristics of children with allegations of sex or labor trafficking investigated by Florida's Department of Children and Families (DCF). Analyses conducted within the grant include descriptive work on how children with investigated allegations of human trafficking differ from others in the child welfare population, human trafficking allegations among children with missing from care episodes, and labor trafficking of children. Analyses also use mixture models to describe risk profiles associated with trafficking victimization and the under-identification of trafficking.
description: This study seeks to determine characteristics and numbers of minor sex trafficking victims using records of children with allegations of sex or labor trafficking investigated by Florida's Department of Children and Families (DCF). Administrative data and statistical modeling was used to determine potential for underreporting of trafficking within DCF, distinctions between subpopulations of trafficked children and relationships between county- or region-level factors and the number and characteristics of trafficked minors identified.
description: The study population of deidentified records of 1,047,081 children was collected from Florida Department of Children and Families administrative data records. Analysis included descriptive and multivariate methods, including logistic regression.
description: Variables include child characteristics (month and year of birth, sex, race, Hispanic ethnicity), allegations (date, type of maltreatment, investigation findings), placements (supervised in-home care or out-of-home placement in foster care, relative care, group homes, residential treatment facilities), and missing from care episodes (date missing and returned).
description: Datasets: DS0: Study-Level Files DS1: Allegation Raw Restricted-Use Data DS2: Base Raw Restricted-Use Data DS3: Missing Child Raw Restricted-Use Data DS4: Placement Raw Restricted-Use Data DS5: Allegation Final Restricted-Use Data DS6: Base Final Restricted-Use Data DS7: Missing Child Final Restricted-Use Data DS8: Placement Final Restricted-Use Data DS9: Removal Final Restricted-Use Data DS10: Child Level Restricted-Use Data DS11: Event Dates Restricted-Use Data DS12: Events Ht Restricted-Use Data DS13: Ht Restricted-Use Data
description: Minor sex trafficking in Florida, United States
DOI: 10.3886/icpsr38298
title: Firearm Injury Surveillance Study, 1993-2019
title: Archival Version

description: These data were collected using the National Electronic Injury Surveillance System (NEISS), the primary data system of the United States Consumer Product Safety Commission (CPSC). CPSC began operating NEISS in 1972 to monitor product-related injuries treated in United States hospital emergency departments (EDs). In June 1992, the National Center for Injury Prevention and Control (NCIPC), within the Centers for Disease Control and Prevention, established an interagency agreement with CPSC to begin collecting data on nonfatal firearm-related injuries in order to monitor the incidents and the characteristics of persons with nonfatal firearm-related injuries treated in United States hospital EDs over time. This dataset represents all nonfatal firearm-related injuries (i.e., injuries associated with powder-charged guns) and all nonfatal BB and pellet gun-related injuries reported through NEISS from 1993 through 2019. The cases consist of initial ED visits for treatment of the injuries. Cases were reported even if the patients subsequently died. Secondary visits and transfers from other hospitals were excluded. Information is available on injury diagnosis, firearm type, use of drugs or alcohol, criminal incident, and locale of the incident. Demographic information includes age, sex, and race of the injured person.
description: A weight variable (WT_C) is present in the data.
description: The sample design of NEISS is a stratified, probability sample of all United States hospitals that had at least six beds and provided 24-hour emergency services. There were four hospital-sized strata (defined as very large, large, medium, and small, based on the number of annual ED visits) and one children's hospital stratum. From 1993 through 1996, there were 91 NEISS hospital EDs in the sample. In 1997, the sampling frame was updated so that in 1997 through 1999 the sample included 101 NEISS hospital EDs. In 2000-2001, one NEISS hospital dropped out of the system, so there were 100 NEISS hospital EDs in the sample. In 2002, another hospital dropped out of the system, so there were 99 NEISS hospital EDs in the sampling frame. In 1997, CPSC collected firearm-related cases using the "old" and "new" NEISS hospital samples for a nine-month period. This dataset includes data from the "new" sample. The overlapping "old" sample is not included. Comparisons of weighted estimates based on the "old" and "new" samples indicated a difference of about 1 percent in the overall national estimate using these samples. The characteristics of firearm-related cases from these two overlapping samples were also very similar.
description: Datasets: DS1: Firearm Injury Surveillance Study, 1993-2019
description: United States hospitals providing emergency services.
description: computer-assisted self interview (CASI); self-enumerated questionnaire
DOI: 10.25824/redu/ronefn
title: Respostas sobre educação ambiental e mudanças climáticas

description: Nesse arquivo excel constam as respostas anônimas dadas para o questionário realizado sobre mudanças climáticas. Nesse sentido, as perguntas contemplam a temática da educação ambiental e das mudanças climáticas no contexto da comunicação, educação e percepção.
DOI: 10.5517/ccdc.csd.cc2kw9g7
title: CCDC 2379729: Experimental Crystal Structure Determination

description: Related Article: Xi-Rui Wang, Pan Hu, Hui-Xian Jing, Zhang-Biao Yu, Zhen Yao, Xiong-Wei Liu, Wen-Jing Zhang, Li-Jun Peng, Xiong-Li Liu|2025|New J.Chem.|49|1138|doi:10.1039/D4NJ05018E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2l1y0m
title: CCDC 2385140: Experimental Crystal Structure Determination

description: Related Article: Tongtong Yang, Weiyao Du, Congzheng Wu, Jiaxin Qu, Chentong Sun, Xin Zhao, Hongchao Guo, Chang Wang, Haiyang Wang|2025|Org.Lett.|27|715|doi:10.1021/acs.orglett.4c03633
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2l2d9d
title: CCDC 2385583: Experimental Crystal Structure Determination

description: Related Article: Xi-Rui Wang, Pan Hu, Hui-Xian Jing, Zhang-Biao Yu, Zhen Yao, Xiong-Wei Liu, Wen-Jing Zhang, Li-Jun Peng, Xiong-Li Liu|2025|New J.Chem.|49|1138|doi:10.1039/D4NJ05018E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2l4x0p
title: CCDC 2387992: Experimental Crystal Structure Determination

description: Related Article: Xi-Rui Wang, Pan Hu, Hui-Xian Jing, Zhang-Biao Yu, Zhen Yao, Xiong-Wei Liu, Wen-Jing Zhang, Li-Jun Peng, Xiong-Li Liu|2025|New J.Chem.|49|1138|doi:10.1039/D4NJ05018E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f9kdq
title: CCDC 2243513: Experimental Crystal Structure Determination

description: Related Article: Honglei Shen, Pu Wang, Jiawei Xu, Ziwei Fu, Xi Kang, Yong Pei, Manzhou Zhu|2025|Chemical Science|16|2373|doi:10.1039/D4SC06847E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.