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Section 10(j) of the National Labor Relations Act authorizes the National Labor Relations Board to seek temporary injunctions against employers and unions in federal district courts to stop unfair labor practices while the case is being litigated before administrative law judges and the Board. These temporary injunctions are needed to protect the process of collective bargaining and employee rights under the Act, and to ensure that Board decisions will be meaningful. The section was added as part of a set of reforms to the Act in 1947. Over the years, all NLRB General Counsels have made use of this effective enforcement tool, as shown in this chart.

There are 15 categories of labor disputes in which Section 10(j) injunctions may be appropriate, listed at [https://www.nlrb.gov/what-we-do/investigate-charges/10j-injunctions/section-10j-categories]. Under NLRB processes, potential cases are identified by Regional Offices and reviewed by the General Counsel, who must seek authorization from the Board before proceeding to court.

The csv contains Authorization Dates, Case Numbers, Case Names, and Injunction Status as of the date collected (2025-04-07). This list is all 10(j) injunction cases authorized by the Board since September 1, 2010.

This dataset supports a study of textual reuse in the Hebrew-language press between 1856 and 1897—a period during which Jewish communities, dispersed across Europe, the Middle East, and the Americas, created a shared communicative infrastructure through Hebrew newspapers.
The dataset includes approximately 130,000 articles drawn from 13 Hebrew-language periodicals, digitally processed and compared using a Hebrew-language plagiarism detection tool (Originality). It identifies over 300,000 instances of sentence-level reuse between articles, with metadata on source and target journals, the number of shared sentences, and time lags. Only reuse between Hebrew texts was analyzed; translations from non-Hebrew sources were excluded.By mapping these intertextual connections, the project reconstructs a transnational media network that functioned as a global Jewish “town square.” The data enables exploration of editorial behavior, thematic clustering, and the role of journalism in diasporic identity formation. 

These files are state and national projections for the Civil Rights Data Collection. The 2000 projections are based on the 14,716 public school districts and 88,882 schools in these school districts that responded to the 2000 survey of all the nation's school districts. The state and national estimations were prepared for OCR in accordance with statistical methodology for the Civil Rights data collection. Documentation is available from OCR which describes the procedures used for the estimations, including weighting of the sample, imputation for item non-response, standard errors, and quality control procedures. In addition, documentation is available from OCR for estimations that should be used with caution due to large statistical uncertainty in the estimate, including factors which contributed to the extent of this statistical uncertainty for the Civil Rights Data Collection. This hardcopy documentation, available upon request, is contained in " Civil Rights Data Collection (CRDC) Estimations and Documentation."

The 2001 Residential Finance Survey (RFS) was sponsored by the Department of Housing and Urban Development (HUD) and conducted by the Census Bureau. The RFS is a follow-on survey to the 2000 decennial census designed to collect, process, and produce information about the financing of all nonfarm, residential properties. Previous RF surveys have been integral parts of the decennial censuses since 1950. Primary users of RFS data in addition to HUD include the Bureau of Economic Analysis, Fannie Mae and Freddie Mac, and the Congress. Data are collected, tabulated, and presented for properties, the standard unit of reference for financial transactions related to housing. In the RFS, a property is defined as all the buildings and land covered by a single first mortgage. The sample for the RFS is stratified by property size, with large properties overrepresented in the sample. Very large properties are selected with certainty to control their effect on the reliability of the estimates. The RFS is the only standardized single source of detailed information on property, mortgage, and financial characteristics for multiunit properties. Both property owners and mortgage lenders are interviewed, resulting in more accurate information on property and mortgage characteristics. As part of the decennial census, the RFS is mandatory. This is important in collecting information from mortgage lenders.

These files are state and national estimations for the Civil Rights Data Collection. The 2004 estimations are based on a rolling stratified sample of approximately 6,000 districts and 60,000 schools, and on reported data from those districts that responded to the survey. Documentation is available from OCR which describes the procedures used for the estimations, including weighting of the sample, imputation for item non-response, standard errors, and quality control procedures. In addition, documentation is available from OCR for estimations that should be used with caution due to large statistical uncertainty in the estimate, including factors which contributed to the extent of this statistical uncertainty for the Civil Rights Data Collection. This hardcopy documentation, available upon request, is contained in "Civil Rights Data Collection (CRDC) Estimations and Documentation."

These files are state and national estimations for the Civil Rights Data Collection. The 2006 estimations are based on a rolling stratified sample of approximately 6,000 districts and 60,000 schools, and on reported data from those districts that responded to the survey. Documentation is available from OCR which describes the procedures used for the estimations, including weighting of the sample, imputation for item non-response, standard errors, and quality control procedures. In addition, documentation is available from OCR for estimations that should be used with caution due to large statistical uncertainty in the estimate, including factors which contributed to the extent of this statistical uncertainty for the Civil Rights Data Collection. This hardcopy documentation, available upon request, is contained in "Civil Rights Data Collection (CRDC) Estimations and Documentation." 

The CRDC has generally been collected biennially from public school districts in each of the 50 states and the District of Columbia. Data are collected for each school in the districts included in the survey. For the first time, the 2009-10 CRDC was collected in two parts. Part 1 is “snapshot” data related to enrollment and Part 2 is cumulative and "end-of-year”results” data. The 2009-10 CRDC contains information from a sample of about 7,000 school districts and over 72,000 schools in those districts.  

The Public-Use Data File User’s Manual for the 2013–14 Civil Rights Data Collection (CRDC) provides documentation and guidance for users of the 2013–14 data. The manual provides information about the purpose of the study, the target population and respondents, data anomalies and considerations, differences in the restricted and public-use data, data collection procedures, the data file structure, and data processing.

Since 1968, the CRDC, formerly the Elementary and Secondary School Survey, has collected data on key education and civil rights issues in our nation's public schools for use by the U.S. Department of Education’s Office for Civil Rights (OCR) in its enforcement and monitoring efforts, by other Department of Education offices and federal agencies, and by policymakers and researchers outside the Department of Education. The CRDC collects information about school characteristics and about programs, services, and outcomes for students. Most student data are disaggregated by race/ethnicity, sex, limited English proficiency (LEP), and disability.

The CRDC is a biennial survey (i.e., it is conducted every other school year), and response to the survey is required by law. Data from the 2011–12 collection and prior collections back to 2000 are also available. 

The 2013–14 CRDC collected data from the universe of all public school districts, also referred to as local education agencies (LEAs), and schools, including long-term secure juvenile justice facilities, charter schools, alternative schools, and schools serving students with disabilities. Data were collected for the 2013–14 school year. Data collection began in April 2015 and ended on January 8, 2016.

The CRDC data are collected pursuant to the 1980 Department of Education Organization Act and 34 CFR Section 100.6(b) of the Department of Education regulation implementing Title VI of the Civil Rights Act of 1964. The requirements are also incorporated by reference in Department regulations implementing Title IX of the Education Amendments of 1972, Section 504 of the Rehabilitation Act of 1973, and the Age Discrimination Act of 1975.

The CRDC is a longstanding and critical aspect of the overall enforcement and monitoring strategy used by OCR to ensure that recipients of the Department of Education’s federal financial assistance do not discriminate on the basis of race, color, national origin, sex, or disability. OCR relies on the CRDC data it receives from public school districts as it investigates complaints alleging discrimination, determines whether the federal civil rights laws it enforces have been violated, initiates proactive compliance reviews to focus on particularly acute or nationwide civil rights compliance problems, and provides policy guidance and technical assistance to educational institutions, parents, students, and others. Additionally, the data are used to report state and national estimates and trends about school characteristics, programs, services, and outcomes covered by the CRDC. 

This project includes a pdf capture of a webpage and the underlying data for the visualizations.

It is about the 2014 Minority Veteran Report, the goal of which is to gain an understanding of who our minority Veterans are, how their military service affects their post-military lives, and how they can be better served based on these insights.

The CRDC is a longstanding and important aspect of the U.S. Department of Education Office for Civil Rights' overall strategy for administering and enforcing civil rights laws that prohibit discrimination based on race, color, national origin, sex, disability, and age by schools, school districts and other entities that received Federal financial assistance from the Department.

CDFI Program and NACA Program Awardees: A Snapshot in 2015 Prepared by Financial Strategies and Research CDFI Fund
 August 2017 
This summary snapshot report, and the accompanyingdata file, is based on annual performance reportssubmitted in 2016 by CDFI and NACA Program FinancialAssistance and Technical Assistance awardees.

 – The study analyzes activities that occurred in FY 2015 asreported by a cohort of CDFI and NACA program awardees.

– Data is derived from the Institutional and Transactional LevelReports submitted to the CDFI Fund.

• The CDFI institutional level data provides key summarydata and comparisons by institution type.

• The transactional data demonstrates how CDFIs targetdistressed communities and underserved populationsthroughout the United States. 

This pdf gives a summary of the CDFI (Community Development Financial Institutions) program and the NACA (Native American CDFI Assistance) Program datasets and the data trends for FY (fiscal year)2018.

 The New Markets Tax Credit Program (NMTC Program) permits taxpayers to receive a credit against Federal incometaxes for making qualified equity investments in designated Community Development Entities (CDEs). Substantially allof the qualified equity investment (QEI) must in turn be used by the CDE to provide investments in low-incomecommunities. The credit provided to the investor totals 39 percent of the cost of the investment and is claimed over aseven-year credit allowance period.

 • The CDFI Fund requires all CDEs that have been awarded NMTC allocations (Allocatees) to submit an annual reportdetailing how they invested QEI proceeds in low-income communities.

• These reports must be submitted to the CDFI Fund by the Allocatees, along with their audited financial statements,within six months after the end of their fiscal year.• All NMTC investments must meet statutory qualifications for their investors to be able to claim the tax credit.• The vast majority of NMTC investments are made within statutorily defined “Low-Income Communities.”

  In addition to investments located in Low-Income Communities, investments can qualify for NMTCs by usingother statutory provisions designed to target certain areas or populations, including provisions for Rural Counties,and Low-Income Targeted Populations.

The data represented in this summary report and accompanying data file was submitted by Allocatees prior toSeptember 30, 2017. Allocatees must submit their annual report to the CDFI Fund within six months after the endof their fiscal year (FY), therefore the data submitted by September 30, 2017 represents nearly all investments forFY 2016.

This is a multi-site, cross-sectional, observational study involving a total of 18 centers. Using the infrastructure of the TBIMS, this study will add new study measures at collaborative study sites and link this information with TBIMS Form I and II variables to address the study aims. Results from this study will provide a more detailed picture of the problem of chronic pain after TBI by examining the types of pain that occur after TBI, which may be multiple types of pain for a subset of individuals, as well as the frequency of comorbid conditions. Identifying extreme phenotypes, such as demographic, individual, and treatment factors associated with those who have chronic pain but have minimal interference compared to those who are significantly impacted by pain, will allow us to identify treatment targets (behavioral, cognitive, biological, and molecular) to advance a personalized medicine approach to treatment unlike any approach in TBI and chronic pain to date. Outcomes from this study will include educational materials on chronic pain and pain treatment to benefit patients, family members, clinicians, and policymakers. Data from this study will have a direct impact on clinical practice, informing future work, and promoting understanding of constituent factors in extreme phenotypes.

CDFI Program and NACA Program Awardees: A Snapshot of 2019 Reported Activities. This pdf gives a summary of the CDFI (Community Development Financial Institutions) program and the NACA (Native American CDFI Assistance) Program datasets and the data trends for FY (fiscal year) 2019.

New Markets Tax Credit (NMTC) Public Data Release FY 2003 to FY 2017 Summary Report
 November 2019
 COMMUNITY DEVELOPMENT FINANCIAL INSTITUTIONS FUND www.cdfifund.go

• The New Markets Tax Credit Program (NMTC Program) permits investors to receive a credit against Federal income taxes for making qualified equity investments (QEIs) in designated Community Development Entities (CDEs). Substantially all of the QEIs must in turn be used by those awarded NMTC allocations (Allocatees) to provide investments in low-income communities. The credit provided to the investor totals 39% of the cost of the investment and is claimed over a seven-year credit allowance period.

 • The CDFI Fund requires all Allocatees that have been awarded NMTC allocations to submit an annual report detailing how they invested QEI proceeds in low-income communities.

 • These reports must be submitted to the CDFI Fund by the Allocatees, along with their audited financial statements, within six months after the end of their fiscal year.

 • All NMTC investments by Allocatees must meet statutory qualifications for their investors to be able to claim the tax credit.

 • The vast majority of NMTC investments are made within statutorily defined “Low-Income Communities.”

  In addition to making investments located in Low-Income Communities, Allocatees can rely on other statutory provisions designed to target certain areas or populations, including provisions for Rural Counties, and LowIncome Targeted Populations.

 The data represented in this summary report and accompanying data file was submitted by Allocatees prior to September 30, 2018. 

Data Dictionary in tab of excel spreadsheet

The CRDC is a longstanding and important aspect of the U.S. Department of Education Office for Civil Rights' overall strategy for administering and enforcing civil rights laws that prohibit discrimination based on race, color, national origin, sex, disability, and age by schools, school districts and other entities that received Federal financial assistance from the Department.

This pdf gives a summary of the CDFI (Community Development Financial Institutions) program and the NACA (Native American CDFI Assistance) Program datasets and the data trends for FY (fiscal year) 2020.

This data set provides statistics about employer and nonemployer businesses from 2020 for the nation, states, and metropolitan statistical areas (MSA). It includes the number of firms, revenue, number of employees, and annual payroll, broken down by industry and owner demographics including as sex, ethnicity, race, and veteran status.


The Nonemployer Statistics by Demographics series (NES-D) provides information on the demographic characteristics of nonemployer businesses. The NES-D is the result of a research project by the Census Bureau to complete the picture of U.S. business ownership by demographics for the United States. Historically, the quinquennial Survey of Business Owners (SBO) provided the only comprehensive source of information on both employer and nonemployer businesses by demographic characteristics of the business owners. In 2017, the SBO was replaced by the Annual Business Survey (ABS). The ABS is an annual survey that collects demographic characteristics from employer businesses. However, the ABS excludes the collection of demographic data from nonemployer businesses. The NES-D was developed to produce similar estimates as ABS on owner demographics for nonemployer businesses. The NES-D is not a survey; rather, it leverages existing individual-level administrative records to assign demographic characteristics to the universe of nonemployer businesses. Demographic characteristics including sex, ethnicity, race, veteran status, owner age, place of birth, and U.S. citizenship are assigned to nonemployer business owners.Together, the NES-D and the ABS will continue to provide the only source of detailed and comprehensive statistics on the scope, nature and activities of all U.S. businesses by the demographic characteristics of the business owners. NES-D data will be available annually by detailed geography and industry levels, receipt-size class, and legal form of organization (LFO). Beginning with the 2019 NES-D, the data will include urban and rural classification.

Transcripts of meetings from the first year of implementation of the Instructional Conversations for Equitable Participation (ICEP) program in Hawaii.

The 2021-2022 Study of Family and Staff Well-Being in Head Start FACES Programs (2021-2022 study), builds on the Head Start Family and Child Experiences Survey (FACES), which has been a source of national information about Head Start programs and participants since 1997. The motivation and goals of the Study of Family and Staff Well-Being in Head Start Family and Child Experiences Survey Programs (the 2021-2022 study) came from a need that arose as the COVID-19 pandemic continued into another year of affecting Head Start families' and staff's lives. The 2021-2022 study included two components. Firstly, the Program, Staff, and Family Study , was conducted in 60 programs, and included the collection of parent surveys and Teacher Child Reports (TCRs) in fall 2021 and spring 2022, as well as a teacher survey in fall 2021. Secondly, the Program and Staff Study , conducted in the 60 programs participating in the Program, Staff, and Family Study plus an additional 120 programs, included the collection of program director, center director, and teacher surveys in spring 2022. The 2021-2022 study aimed to describe the national population of Head Start programs, centers, teachers, classrooms, and children during the 2021-2022 program year. However, the Data Producers were unable to fully meet this goal because of challenges related to the COVID-19 pandemic. A nationally representative sample of Head Start programs was selected. However, fewer of the programs participated than expected. Probability samples of centers, teachers, and children within the participating programs were selected. Weights are available for analysis to account for the probability that children and their teachers, centers, and programs were selected for the study. This lessens the risk of bias due to study non-participation and survey nonresponse; and provide results that represent, to the extent possible, all programs, centers, teachers, classrooms, and children in Head Start. The responding sample may not fully represent the population due to higher-than-expected non-response that may not have been adequately addressed with weighting adjustments. Despite these limitations, the 2021-2022 study sample design supports many analyses for programs and teachers, as well as children. The data from the programs in the Program, Staff, and Family Study can address questions about the children and parents who participate in the program, including about children's development across one year in the Head Start program for both newly entering children and those returning for a second year. The study also supports research questions related to subgroups of interest, such as families with low income and specific racial/ethnic groups, as well as policy issues that emerge during the study. In addition, the research questions investigate the characteristics of Head Start programs, centers, and teachers, and the classrooms they teach. Users can use the same data to answer questions about the relationships between program and classroom characteristics and child and family well-being. The data from the larger sample of programs in the Program and Staff Study are most useful for answering questions about Head Start programs, classrooms, teachers, and program and center directors.

The CRDC is a longstanding and important aspect of the U.S. Department of Education Office for Civil Rights' overall strategy for administering and enforcing civil rights laws that prohibit discrimination based on race, color, national origin, sex, disability, and age by schools, school districts and other entities that received Federal financial assistance from the Department. 

This data set provides statistics about employer and nonemployer businesses from 2021 for the nation, states, counties, and metropolitan statistical areas (MSA). It includes the number of firms, revenue, number of employees, and annual payroll, broken down by industry and owner demographics including as sex, ethnicity, race, and veteran status.


The Nonemployer Statistics by Demographics series (NES-D) provides information on the demographic characteristics of nonemployer businesses. The NES-D is the result of a research project by the Census Bureau to complete the picture of U.S. business ownership by demographics for the United States. Historically, the quinquennial Survey of Business Owners (SBO) provided the only comprehensive source of information on both employer and nonemployer businesses by demographic characteristics of the business owners. In 2017, the SBO was replaced by the Annual Business Survey (ABS). The ABS is an annual survey that collects demographic characteristics from employer businesses. However, the ABS excludes the collection of demographic data from nonemployer businesses. The NES-D was developed to produce similar estimates as ABS on owner demographics for nonemployer businesses. The NES-D is not a survey; rather, it leverages existing individual-level administrative records to assign demographic characteristics to the universe of nonemployer businesses. Demographic characteristics including sex, ethnicity, race, veteran status, owner age, place of birth, and U.S. citizenship are assigned to nonemployer business owners.Together, the NES-D and the ABS will continue to provide the only source of detailed and comprehensive statistics on the scope, nature and activities of all U.S. businesses by the demographic characteristics of the business owners. NES-D data will be available annually by detailed geography and industry levels, receipt-size class, and legal form of organization (LFO). Beginning with the 2019 NES-D, the data will include urban and rural classification.

This dataset contains public information on grantees of the Minority Business Development Agency (MBDA) programs, covering grants awarded since 2022. It includes data on all grant-funded centers across all MBDA programs, providing information on each grantee’s including location, contact details, service area, and its associated MBDA program.

Additional information includes the status of each grantee (whether they are currently funded and operating), grant award identifiers, and a brief description of the grantees services and specialities. Detailed information is provided in the data schema provided below.

MBDA’s mission is to promote the growth and global competitiveness of Minority Business Enterprises (MBE) in order to unlock the country’s full economic potential. MBDA programs provide support for MBEs through a variety of services aimed at improving access to capital, contracts, and markets. These programs help entrepreneurs overcome barriers to success and expand their businesses by offering tailored technical assistance, business consulting, and access to networks.

Note: the original website is titled 2002-2024 grantees but the description refers to grants awarded since 2022

Since the 1980s, the Office of Refugee Resettlement [1] (ORR) has conducted the Annual Survey of Refugees (ASR), which collects information on refugees during their first five years after arrival in the U.S. The ASR is the only scientifically collected source of national data on refugees’ progress toward self-sufficiency and integration. ORR uses the ASR results alongside other information sources to fulfill its Congressionally mandated reporting requirement following the Refugee Act of 1980.  

In the spring of 2023, ORR completed its 56th Annual Survey of Refugees (ASR). The data from the ASR offer a window into respondents’ first five years in the United States and show the progress that refugee families made towards learning English, participating in the workforce, and establishing permanent residence. This public use data deposit is only for the 2022 ASR with future years likely to be added to the ICPSR archive.

TheClinical Laboratory Improvement Amendments (CLIA) regulations of 1988 requiredcertification of some clinical laboratory professionals but not of others. Analyzingsurvey data 35 years later, we explore how laboratory professionals today are inadvertentlyaffected by those regulations, specifically their sense of professional identityand their perceptions of justice—and the consequences of those on their turnoverintentions. Turnover is a major concern among laboratory professionals. Survey resultsshow that even 35 years after the unintended disenfranchisement caused by CLIA,clinical laboratory professionals whose specialty was included in CLIA have astronger sense of being an ingroup, expressed as positive professional identity,and had a higher assessment of there being procedural and distributive justicethan those excluded in CLIA. Turnover intentions, however, were primarily amatter of negative professional identity and reduced distributive justice.

Background: There should be minimum six months interval betweenabortion and next conception. Post abortal long-acting reversible contraception(PALARC), intra-uterine contraceptive device (IUCD) or Depotmedroxy-progesterone acetate (DMPA) injection are very effective in avertingunwanted pregnancies during this interval.Aim: To assess acceptanceof LARC as either PAIUCD or post abortal DMPA (PADMPA), demographic andobstetric factors affecting the choice of LARC and contraceptive continuationrate among the acceptors.Design and setting:Longitudinal, single hospital-based descriptive study.Methods:Women undergoing 1st or 2nd trimester abortion at thestudy site were eligible to participate. Women with molar pregnancy, septicabortions, contraindications to DMPA/IUCD and those opting for short-actingmethods or sterilisation were excluded, remaining were counselled for LARC.Women accepting IUCD or DMPA were interviewed and then followed up for methodcontinuation till 6 months.Results:Total 350 women were included in the study. There were 164 (46.9%) women whoaccepted LARC. Among them 96 (58.5%) accepted IUCD. Acceptance was associatedwith higher age, longer period of gestation, rural residence, higher number ofpregnancies and previous operative delivery. Continuation rate was higher forIUCD at 94.8% as opposed to   44.1% forDMPA. Continuation depended on religion and method choice. Amenorrheawas the most important reason for discontinuation followed by husband’sdisapproval.Conclusion:Nearly half of the study participants accepted PALARC with significantly highercontinuation rate for IUCD after six months of insertion. Counselling forcorrect method choice and follow-up will enable women to continue their chosenmethod.SHORT CONDENSATIONThere were 46.9% women who accepted LARC after medicaltermination of pregnancy and 73.8% acceptors continued method. Acceptance andcontinuation were higher for IUCD compared to DMPA. Women with demographic andobstetric vulnerabilities were more likely to accept LARC while Muslim womenwere more likely to continue.  Making post-abortal LARC available and accessible, these women can control their fertilityand avoid unwanted pregnancies.

We used convenience sampling, and the data were collected from 2024-02-08 to 2024-10-29 using the CAWI technique on a group of students from three universities in Poland (in Toruń, Szczecin and Warsaw) and their relatives. We used our own questionnaire elaborated on an adjusted Schepman and Rodway scale model, i.e. The General Attitudes Towards Artificial Intelligence Scale (GAAIS), adapted to the context of our research. The questions in the research questionnaire were structured according to the TAM model and divided into spheres: perceived usefulness of AI solutions, ease of use of AI solutions, attitudes towards AI solutions, intentions regarding the use of AI in the future and actual use of AI. Our research sample consisted of 371 respondents.

This study focused on transportation deprivation in women offenders. For the purpose of exploring transportation disadvantage for women on community supervision, interviews were conducted with 75 women on probation or parole. These interviews focused on women's struggles with transportation and featured questions regarding whether they have driving licenses, have social support, are stressed or unsafe when they travel, and whether transportation problems have impacted supervision violations or recidivism events. The interviews were used to explore the following themes: Women's insights and experiences about getting from place to place while under supervision Their strategies for increasing transportation resources and access The connections of transportation access to attending required/needed programming and supervision appointments Whether any violations or new offenses resulted from inadequate transportation access

The dataset contains NAAC accreditation scores of 319 and 419 Indian universities.

International students constitute a significant and growing population within higher education institutions worldwide. These students leave their home countries to pursue academic opportunities in foreign countries, seeking to broaden their horizons, enhance their skills, and experience new cultures.  This qualitative study employed in-depth interviews to examine the acculturation process of these students and how they perceived the support services universities provide, and its impact on academic and social adjustment. The findings suggest that international students have a positive and mixed perception, regarding the role the Office of International Engagement (OIE) play in facilitating their acculturative process in a host culture. 

The Accountable Care Organization Realizing Equity, Access and Community Health (ACO REACH) Model Financial and Quality Results Public Use File (PUF) details performance for the ACO REACH Model, formerly Global and Professional Direct Contracting (GPDC) Model, prior to settlement. This data includes information such as the ACOs risk arrangement, stop loss, capitation, savings rate, and quality results.

The Accountable Care Organization Realizing Equity, Access and Community Health (ACO REACH) Model Providers Public Use File (PUF) data details Participant Providers and Preferred Providers in the ACO REACH Model, formerly Global and Professional Direct Contracting (GPDC) Model. This dataset includes information on each providers capitation arrangement, Advanced Payment Option and elected waivers.

Sexual assault is the most common violent crime committed on college campuses today. One in five women have experienced a completed or attempted sexual assault as an undergraduate. In one study, 28% of first-year college women experienced unwanted sexual contact and 7% experienced sexual assault or attempted sexual assault in the first semester of their first year of college, while 7% of college men reported an attempted or completed assault during their college experience. Growing evidence suggests the effectiveness of using online tools and video games for public health intervention and education. Because of the positive impact of these digital strategies, researchers saw a need to bring this research to sexual violence prevention, where there has been limited use of digital applications. The goal of this project was to design and evaluate the pedagogical effectiveness and cost effectiveness of a video game to reduce sexual and relationship violence. It was hypothesized that the video game could enhance the self-confidence of male and female late adolescents (ages 18-24) to practice safe, appropriate, and effective approaches for intervening in situations where sexual and/or relationship violence (including stalking) is occurring, has the potential to occur, or recently occurred.

This study investigates the ways in which smallholder farmers in Cameroon are being affected by and adapting to climate change. The data are from in-depth interviews with 45 farmers across 4 of Cameroon’s 10 regions. We find that 76% of interviewed farmers report lower harvests due to changes in their local climate, mostly due to disruptions in local rainfall patterns. Reported adaptation mechanisms are primarily changes in practices like input use and the timing of planting and harvesting rather than changes in crop choice, area cultivated, or economic activity.

Despite the growing popularity of computing bachelor’s programs, women remain vastly underrepresented in these fields. Using Social Cognitive Career Theory and intersectionality as guiding theories, this qualitative study explores how postsecondary institutions shape women’s experiences choosing and entering computing bachelor’s programs. Twenty-eight of 40 participants entered their institutions with plans to study computing, while 12 developed a new (or renewed) interest in computing as undergraduates. Findings outline four postsecondary structures that shaped participant entry into computing majors, including university-level admissions and participant perceptions of financial and cultural accessibility; academic college-level organization and admissions processes; institutional computing cultures, namely introductory course experiences and social environments; and major declaration policies. Findings also show how these structures differentially shaped participant experiences based on intersecting minoritized social identities, such as race/ethnicity and social class. Overall, findings illustrate the precarious relationship between computing interest development, major intent, and major enrollment for undergraduate women in computing.

This dataset covers mechanical and thermal sensitivity in PV-Cre rats (RRID:RRRC_00773) beginning in adolescence and continuing into adulthood. The rats were tested weekly for eight weeks. After the first test, half the rats began adolescent intermittent ethanol vapor exposure, which continued for 4 weeks. Rats then underwent surgery to express channelrhodopsin in the BLA, and a viral cre-depedent mCherry tag in the prelimbic cortex. Retrobeads were injected in the ventrolateral periaqueductal gray. This allowed for slice electrophysiology recordings from prelimbic parvalbumin interneurons and prelimbic pyramidal neurons projecting to the ventrolateral periaqueductal gray. After recovering from the surgery, rats underwent an inflammatory pain challenge using carrageenan injected into the hindpaw. After assessing the effects of alcohol exposure in conjuction with the pain challenge on mechanical and thermal sensitivity slice electrophysiology recordings were made from neurons in the prelimbic cortex. Parameters of interest were intrinstic excitability and BLA-driven excitatory/inhibitory balance, AMPA/NMDA ratio, and aEPSCs at both parvalbumin interneurons and pyramidal neurons projecting from the prelimbic cortex to the ventrolateral periaqueductal gray.

Depression is a significant mental health concern amongadolescents, and research has shown the connection between insecure attachmentand depression. Clinical practice could benefit from increased attention tothis relationship. This dataset focuses on self-compassion, self-efficacy, andtrait resilience as mediators between insecure attachment (specificallyattachment anxiety and attachment avoidance) and depression.

The overarching objective of the Adolescent Health and Development in Context (AHDC) Project is to collect multilevel, multi-contextual data on a large sample of 1,405 youth ages 11 to 17 years in Franklin County, Ohio. The study emphasizes the interplay of social, psychological, and biological processes in shaping youth developmental outcomes such as risk behavior and victimization, mental and physical health, and educational outcomes. The study employs a prospective cohort design in which the data on youth and caregivers were collected at two time-points, approximately one year apart. The Wave 1 field period began in spring 2014 and was completed in summer 2016. Wave 2 was conducted between January and December 2016. Within each wave, participant data were collected over a weeklong period. An Entrance Survey with both a focal youth and his or her caregiver was followed by a seven-day smartphone-based Global Positioning System (GPS) tracking and EMA data collection period (EMA Week), and a final Exit Survey at the end of the week.

This is the replication package for the paper, Kumon (2025) "Adoption, Inheritance, and Wealth Inequality in Pre-industrial Japan and Western Europe"  in the Journal of Economic History

We collect novel and timely data from advance layoff notices filed under the Worker Adjustment and Retraining Notification (WARN) Act. The act requires larger employers to notify affected workers at least 60 days before a potential mass layoff. We assemble WARN data from across the United States, and for many large states our data begin in the 1990s. We aggregate these data into an unbalanced, monthly panel of the state-level number of workers affected by WARN notices, and we update this panel twice a month. We also aggregate this panel to a national-level indicator of job loss (the "WARN factor") using a dynamic factor model.

Data Collection
File Description
The file labelled WARNFiles_YYYYMMDD.zip in themain directory contains our most recent data. All data included in this zipfile were collected as of the date listed in the file name. Previousvintages of our data appear in the `Archived_Vintages’ folder, with the samenaming convention.

The zip files contain three files:

1.    README.txt
2.    WARNData_NSA_YYYYMMDD.csv

• This .csv contains the number of workers affected by WARN notices by state and month. These data are not seasonally adjusted. These data are the input into the dynamic factor model.

3.    WARNFactors_YYYYMMDD.csv

• This .csv contains the output of the dynamic factor model. The output is labeled as follows:
• WARN Factor: the estimates of the factor from the dynamic factor model.
• MSE: the estimated mean squared errors of the WARN factor.
• WARN_hat: the number of workers affected by WARN notices as implied by the WARN factor.
• WARN_sum: the sum of the number of workers affected by WARN notices from several states that form a balanced panel beginning in January 2006. These states can change every update.

Disclaimer
These data areupdated by the authors and are not an official product of the Federal Reserve Bank of Cleveland.

"The purpose of the Agency for Healthcare Research and Quality is to enhance the quality, appropriateness, and effectiveness of health services, and access to such services through the establishment of a broad base of scientific research and through the promotion of improvements in clinical and health system practices, including the prevention of diseases and other health conditions."

Information on provider-level measure rates for the Agency for Healthcare Research and Quality (AHRQ) Patient Safety Indicator 11 (PSI-11) Postoperative Respiratory Failure measure.

The Agency for Healthcare Research and Quality (AHRQ) Patient Safety Indicator 11 (PSI-11) Measure Rates dataset provides information on provider-level measure rates regarding one preventable complication (postoperative respiratory failure) for Medicare fee-for-service discharges. The PSI-11 measure data is solely reported for providers’ information and quality improvement purposes and are not a part of the Deficit Reduction Act (DRA) Hospital-Acquired Condition (HAC) Payment Provision or HAC Reduction Program.

Q: What is the history of the PSI-11 measure reporting?

When did western cities become the engines of creativity modern theorists envision them to be?  We approach this issue by investigating how much elite authors benefited from agglomerating in early modern London. Building a new panel dataset documenting the place of residence and annual publications of 2,026 prolific authors over the period 1482-1800, we conduct longitudinal author-level analyses. Our results suggest agglomeration benefits in London's knowledge economy reached levels comparable to those documented in modern cities by the late 16th century. Exploring mechanisms, we find that moving to London improved opportunities for collaboration and, relatedly, the quality of books produced.  We find similar agglomeration economies (and mechanisms) in the towns leading Britain's industrial revolution in the 18th century (but not before).