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- Research data . 1984EnglishAuthors:United States Department Of Education. National Center For Education Statistics;United States Department Of Education. National Center For Education Statistics;Publisher: ICPSR - Interuniversity Consortium for Political and Social ResearchProject: NWO | Learning More from Empiri... (2300130468)
This data collection provides the second wave of data in a longitudinal, multi-cohort study of American youth conducted by the National Opinion Research Center (NORC) on behalf of the National Center for Education Statistics. The first wave of data was collected in 1980 (ICPSR 7896) and the third wave was collected in 1984 (ICPSR 8443). Student identification numbers included in each record permit data from these surveys to be merged with other High School and Beyond files. The base-year (1980) study incorporated student data from both cohorts into one file. Due to the more complex design of the First Follow-Up and a resulting increase in the volume of available data, separate files have been created for the two cohorts. The sophomore cohort portion of this collection replicates nearly all of the types of data gathered in the base-year study (ICPSR 7896), including students' behavior and experiences in the secondary school setting, outside employment, educational and occupational aspirations and expectations, personal and family background, and personal attitudes and beliefs. Also, the same cognitive test was administered in the base-year and follow-up surveys. The senior cohort portion, in contrast, emphasizes postsecondary education and work experiences. Education data include the amount and type of school completed, school financing, aspirations, and non-school training. Information is also provided on labor force participation and aspirations, military service, and financial status. The senior cohort did not take the cognitive test for the follow-up survey. Both cohorts provide demographic data such as age, race, sex, and ethnic background. The Transcripts Survey provides information on individual students such as the type of high school program, the student's grade point average, attendance, class rank and size, and participation in special education programs, plus course-oriented data such as the year a course was taken, the type of course, credit earned, and grades received. The Offerings and Enrollments Survey file contains data on each school in the sample and include variables such as size and type of institution, type of schedule used, ethnic composition of the faculty and student body, busing, types of programs and specific courses offered, school facilities, number of handicapped students, and school staffing. In addition, information is provided on academic and disciplinary policies, and perceived problems in the school. The Local Labor Market Indicators file contains economic and labor market data for the geographical area of each school in the sample, given both by county and by Standard Metropolitan Statistical Area. The School Questionnaire file incorporates data elements from both the Base-Year School Questionnaire and the First Follow-up School Questionnaire, along with other information from sampling files, into a single record for each school. Topics include institutional characteristics such as total enrollment, average daily attendance rates, dropout rates, remedial programs, provisions for handicapped and disadvantaged students, participation in federal programs, teacher retention and absenteeism, per-pupil expenditures, school rules and policies, and ownership and funding of nonpublic schools. The base-year High School and Beyond Survey (ICPSR 7896) used a stratified, disproportionate probability sample of 1,122 schools selected from a sampling frame of 24,725 high schools. Within each school, 36 seniors and 36 sophomores were randomly chosen. For the First Follow-Up, the National Opinion Research Center attempted to survey all 1980 sophomores and a subsample of 1980 seniors who participated in the base-year survey. Supplementary questionnaires were utilized for those 1980 sophomores who were not currently attending any school, had transferred to other schools, or had graduated early. The Transcripts Survey includes every secondary-school course taken by a sub-sample of the sophomore cohort. The Course Offerings and Enrollments Survey contains data from schools that were selected as first-stage sample units (clusters) for the sampling of students in the base-year survey, and in which sophomore High School and Beyond students were actively enrolled during the 1981-1982 academic year. For the Local Labor Market Indicators file, economic variables were derived from data provided by the Bureau of Labor Statistics and the Bureau of Economic Analysis. For the School Questionnaire file, follow-up data were requested from all base-year schools that were still in existence as independent institutions and that had members of the 1980 sophomore cohort currently enrolled. Follow-up data were not collected from schools that had closed, merged with other schools, or had no 10th or 12th grade students during the base year, nor from schools to which students transferred as individuals. However, in 17 instances students from a base-year school were transferred en masse to a new school, and school questionnaires were sought from these new schools. These 17 schools do not have weights as their selection probabilities are unknown. Datasets: DS0: Study-Level Files DS1: Sophomore Cohort First Follow-Up Data DS2: SAS Control Cards for Sophomore First Follow-up Data DS3: User's Manual for Sophomore First Follow-up Data DS4: Senior Cohort First Follow-Up Data DS5: SAS Control Cards for Senior First Follow-up Data DS6: Sophomore Cohort Transcripts Survey Data DS7: Sophomore Cohort Transcripts Survey CSSC Codes DS8: Sophomore Cohort Transcripts Survey SPSS Cards for Record Sophomore Cohort Type 1 DS9: Sophomore Cohort Transcripts Survey SPSS Cards for Record Sophomore Cohort Type 2 DS10: Sophomore Cohort Transcripts Survey SAS Control Cards DS11: Course Offerings and Enrollments Data DS12: Course Offerings and Enrollments CSSC Codes DS13: Course Offerings and Enrollments SPSS Cards for Record Type 1 DS14: Course Offerings and Enrollments SPSS Cards for Record Type 2 DS15: Local Labor Market Indicators Data DS16: Local Labor Market Indicators SAS Control Cards DS17: School Questionnaire Data DS18: SAS Control Cards for School Questionnaire Data There are two distinct types of records in the Transcripts and the Offerings and Enrollments files: for each case, there is a Type 1 record that contains information for a single student or school. Immediately following each Type 1 record are one or more Type 2 records, each of which provides data on a single course taken by the student or offered by the school. Because the number of courses may vary, the length of the combined Type 2 records varies as well. Therefore these two files are written in variable blocked format. In both of these files the total number of records greatly exceeds the number of cases: the Transcripts file has a total of 471,330 records, and the Offerings and Enrollments file has 142,290 records. The universe for this collection consists of all persons in the United States who were high school sophomores or seniors in 1980. High School and Beyond (HS&B) Series
Average popularityAverage popularity In bottom 99%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product. - Research data . 2020Open AccessAuthors:van Zuijlen, Mitchell; Pont, S.C. (Sylvia); Wijntjes, M.W.A. (Maarten);van Zuijlen, Mitchell; Pont, S.C. (Sylvia); Wijntjes, M.W.A. (Maarten);Publisher: 4TU.Centre for Research DataCountry: NetherlandsProject: NWO | Visual communication of m... (26743)
A collection of around 11.000 painted faces, from 6 galleries, and a datafile with statistics for each face. Each face is present as a crop from the original painting, a crop with the background removed and a crop with the background, eyes and mouth removed.
Average popularityAverage popularity In bottom 99%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product. - Research data . 2021Open AccessAuthors:van Zuijlen, Mitchell; Lin, Hubert; Bala, Kavita; Pont, S.C. (Sylvia); Wijntjes, M.W.A. (Maarten);van Zuijlen, Mitchell; Lin, Hubert; Bala, Kavita; Pont, S.C. (Sylvia); Wijntjes, M.W.A. (Maarten);Country: NetherlandsProject: NWO | Visual communication of m... (26743)
Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision.Download the README.txt first to help you decide what you want/need to download!In this dataset, we capture the painterly depictions of materials to enable the study of depiction and perception of materials through the artists' eye. We annotated a dataset of 19k paintings with 200k+ bounding boxes from which polygon segments were automatically extracted. Each bounding box was assigned a coarse label (e.g., fabric) and a fine-grained label (e.g., velvety, silky).Note that the data can be browed and explored on https://materialsinpaintings.tudelft.nl. If you only want to download a few paintings, using that website might be faster.
Average popularityAverage popularity In bottom 99%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product. - Open AccessAuthors:van Nieukerken, Erik J.; Gilrein, Daniel Owen; Eiseman, Charles S.;van Nieukerken, Erik J.; Gilrein, Daniel Owen; Eiseman, Charles S.;Publisher: ZenodoProject: NWO | GRMHD simulations of thin... (27728)
Specimen data of Stigmellamultispicata and other Ulmus mining Nepticulidae : Explanation note: The 288 records are the records of specimens examined and records obtained from online sources, of the taxa treated in this paper and supplement the presented Material examined.
- Research data . Other dataset type . 2018Open Access EnglishAuthors:Salabarnada, Ariadna; Escutia, Carlota; Röhl, Ursula; Nelson, C Hans; McKay, Robert M; Jiménez-Espejo, Francisco Jose; Bijl, Peter K; Hartman, Julian D; Ikehara, Minoru; Strother, Stephanie L; +6 moreSalabarnada, Ariadna; Escutia, Carlota; Röhl, Ursula; Nelson, C Hans; McKay, Robert M; Jiménez-Espejo, Francisco Jose; Bijl, Peter K; Hartman, Julian D; Ikehara, Minoru; Strother, Stephanie L; Salzmann, Ulrich; Evangelinos, Dimitris; López-Quirós, Adrián; Flores, José Abel; Sangiorgi, Francesca; Brinkhuis, Henk;Publisher: PANGAEAProject: NWO | The Dawn of a Greenhouse ... (10684), NWO | Reconstructing the the ev... (7456)
Antarctic ice sheet and Southern Ocean paleoceanographic configurations during the late Oligocene are not well resolved. They are however important to understand the influence of high-latitude Southern Hemisphere feedbacks on global climate under CO2 scenarios (between 400 and 750 ppm) projected by the IPCC for this century, assuming unabated CO2 emissions. Sediments recovered by the Integrated Ocean Drilling Program (IODP) at Site U1356, offshore of the Wilkes Land margin in East Antarctica, provide an opportunity to study ice sheet and paleoceanographic configurations during the late Oligocene (26-25 Ma). Our study, based on a combination of sediment facies analysis, magnetic susceptibility, density, and X-Ray Fluorescence geochemical data, shows that glacial and interglacial sediments are continuously reworked by bottom-currents, with maximum velocities occurring during the interglacial periods. Glacial sediments record poorly ventilated, low-oxygenation bottom water conditions, interpreted to result from a northward shift of westerly winds and surface oceanic fronts. Interglacial sediments record more oxygenated and ventilated bottom water conditions and strong current velocities, which suggests enhanced mixing of the water masses as a result of a southward shift of the Polar Front. Intervals with preserved carbonated nannofossils within some of the interglacial facies are interpreted to form under warmer paleoclimatic conditions when less corrosive warmer northern component water (e.g. North Atlantic sourced deep water) had a greater influence on the Site. Spectral analysis on the late Oligocene sediment interval show that the glacial-interglacial cyclicity and related displacements of the Southern Ocean frontal systems between 26-25 Ma were forced mainly by obliquity. The paucity of iceberg rafted debris (IRD) throughout the studied interval contrasts with earlier Oligocene and post-Miocene Climate Optimum sections from Site U1356 and with late Oligocene strata from the Ross Sea, which contain IRD and evidence for coastal glaciers and sea ice. These observations, supported by elevated sea surface paleotemperatures, the absence of sea-ice, and reconstructions of fossil pollen between 26 and 25 Ma at Site U1356, suggest that open ocean water conditions prevailed. Combined, these evidences suggest that glaciers or ice caps likely occupied the topographic highs and lowlands of the now marine Wilkes Subglacial Basin (WSB). Unlike today, the continental shelf was not over-deepened and thus ice sheets in the WSB were likely land-based and marine-based ice sheet expansion was likely limited to coastal regions. Supplement to: Salabarnada, Ariadna; Escutia, Carlota; Röhl, Ursula; Nelson, C Hans; McKay, Robert M; Jiménez-Espejo, Francisco Jose; Bijl, Peter K; Hartman, Julian D; Strother, Stephanie L; Salzmann, Ulrich; Evangelinos, Dimitris; López-Quirós, Adrián; Flores, José Abel; Sangiorgi, Francesca; Ikehara, Minoru; Brinkhuis, Henk (2018): Paleoceanography and ice sheet variability offshore Wilkes Land, Antarctica – Part 1: Insights from late Oligocene astronomically paced contourite sedimentation. Climate of the Past, 14(7), 991-1014
Average popularityAverage popularity In bottom 99%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product. - Research data . 2016Open AccessAuthors:Agnieszka Płonka;Agnieszka Płonka;Publisher: ZenodoProject: NWO | Full waveform inversion f... (8807)
This dataset should provide complete synthetic seismograms and software (python tools for random media generation, signal comparison and histogram stacking) that were used in the publication: Płonka, A., Blom, N., and Fichtner, A.: The imprint of crustal density heterogeneities on regional seismic wave propagation, Solid Earth, 7, 1591-1608, doi:10.5194/se-7-1591-2016, 2016.
Average popularityAverage popularity In bottom 99%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product. - Research data . Other dataset type . 2017Open Access EnglishAuthors:Stap, Lennert Bastiaan; van de Wal, Roderik S W; de Boer, Bas; Bintanja, Richard; Lourens, Lucas Joost;Stap, Lennert Bastiaan; van de Wal, Roderik S W; de Boer, Bas; Bintanja, Richard; Lourens, Lucas Joost;Publisher: PANGAEAProject: NWO | A consensus of past clima... (13588)
Model output of a coupled ice sheet-climate model, inversely forced by benthic d18O over the past 38 million years. Sheet 1 contains the main results from the reference simulation: benthic d18O, CO2, ice-volume-equivalent sea level and global temperature. Sheet 2 contains global, Northern Hemisphere (40-80 deg N), and Antarctic (60-90 deg S) temperatures, from the reference run and the run with ice uncoupled, only albedo coupled, and only surface height coupled. Sheet 3 contains global temperature, from the reference run, and the runs with fixed PD ice, fixed LGM ice, and no ice. Details are given in the publication. More information or data can be obtained by contacting L.B. Stap (lennert.stap@awi.de). Supplement to: Stap, Lennert Bastiaan; van de Wal, Roderik S W; de Boer, Bas; Bintanja, Richard; Lourens, Lucas Joost (2017): The influence of ice sheets on temperature during the past 38 million years inferred from a one-dimensional ice sheet-climate model. Climate of the Past, 13(9), 1243-1257
Average popularityAverage popularity In bottom 99%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product. - Research data . 2018Authors:Pierik, Harm Jan; Rowin J Van Lanen; Gouw-Bouman, Marjolein TIJ; Groenewoudt, Bert J; Wallinga, Jakob; Hoek, Wim Z;Pierik, Harm Jan; Rowin J Van Lanen; Gouw-Bouman, Marjolein TIJ; Groenewoudt, Bert J; Wallinga, Jakob; Hoek, Wim Z;Publisher: SAGE JournalsProject: NWO | The Dark Age of the Lowla... (8847)
Supplemental material, Appendix_A_and_B for Controls on late-Holocene drift-sand dynamics: The dominant role of human pressure in the Netherlands by Harm Jan Pierik, Rowin J van Lanen, Marjolein TIJ Gouw-Bouman, Bert J Groenewoudt, Jakob Wallinga and Wim Z Hoek in The Holocene
Average popularityAverage popularity In bottom 99%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product. - Research data . 1999EnglishAuthors:Brim, Orville Gilbert; Baltes, Paul B.; Bumpass, Larry L.; Cleary, Paul D.; Featherman, David L.; Hazzard, William R.; Kessler, Ronald C.; Lachman, Margie E.; Markus, Hazel Rose; Marmot, Michael G.; +3 moreBrim, Orville Gilbert; Baltes, Paul B.; Bumpass, Larry L.; Cleary, Paul D.; Featherman, David L.; Hazzard, William R.; Kessler, Ronald C.; Lachman, Margie E.; Markus, Hazel Rose; Marmot, Michael G.; Rossi, Alice S.; Ryff, Carol D.; Shweder, Richard A.;
doi: 10.3886/icpsr02760.v15 , 10.3886/icpsr02760.v16 , 10.3886/icpsr02760.v4 , 10.3886/icpsr02760.v18 , 10.3886/icpsr02760.v5 , 10.3886/icpsr02760.v6 , 10.3886/icpsr02760.v14 , 10.3886/icpsr02760.v13 , 10.3886/icpsr02760.v7 , 10.3886/icpsr02760.v17 , 10.3886/icpsr02760 , 10.3886/icpsr02760.v9 , 10.3886/icpsr02760.v10 , 10.3886/icpsr02760.v12 , 10.3886/icpsr02760.v2 , 10.3886/icpsr02760.v11 , 10.3886/icpsr02760.v8 , 10.3886/icpsr02760.v19 , 10.3886/icpsr02760.v1 , 10.3886/icpsr02760.v3
doi: 10.3886/icpsr02760.v15 , 10.3886/icpsr02760.v16 , 10.3886/icpsr02760.v4 , 10.3886/icpsr02760.v18 , 10.3886/icpsr02760.v5 , 10.3886/icpsr02760.v6 , 10.3886/icpsr02760.v14 , 10.3886/icpsr02760.v13 , 10.3886/icpsr02760.v7 , 10.3886/icpsr02760.v17 , 10.3886/icpsr02760 , 10.3886/icpsr02760.v9 , 10.3886/icpsr02760.v10 , 10.3886/icpsr02760.v12 , 10.3886/icpsr02760.v2 , 10.3886/icpsr02760.v11 , 10.3886/icpsr02760.v8 , 10.3886/icpsr02760.v19 , 10.3886/icpsr02760.v1 , 10.3886/icpsr02760.v3
Publisher: Inter-University Consortium for Political and Social ResearchProject: NWO | Genetische en omgevingsin... (2300131870), AKA | Midlife predictors of dem... (311492), AKA | Determinants of labour ma... (265174), NIH | MEASUREMENT OF ESTRADIOL ... (5M01RR023942-02), NSF | IBSS: Understanding Long-... (1327768), NIH | Implementing World Health... (1E11OH010676-01), SSHRC , NIH | Midlife Health in Japan (... (5R37AG027343-08), NIH | Integrative Pathways to H... (5P01AG020166-03), NIH | CHANGES IN HEALTH--SOCIOE... (5R01AG013196-03),...The Midlife in the United States (MIDUS) is a collaborative, interdisciplinary investigation of patterns, predictors, and consequences of midlife development in the areas of physical health, psychological well-being, and social responsibility. A description of the study and findings from it are available at http://www.midus.wisc.edu. The first wave of the MIDUS study (MIDUS 1 or M1) collected survey data from a total of 7,108 participants. The baseline sample was comprised of individuals from four subsamples: (1) a national RDD (random digit dialing) sample (n=3,487); (2) oversamples from five metropolitan areas in the U.S. (n=757); (3) siblings of individuals from the RDD sample (n=950); and (4) a national RDD sample of twin pairs (n=1,914). All eligible participants were non-institutionalized, English-speaking adults in the coterminous United States, aged 25 to 74. Data from the samples were collected primarily in 1995/96. The survey (Project 1) dataset contains responses from a 30-minute Phone interview and two 50-page Self-Administered Questionnaire (SAQ) instruments. Of the 7,108 respondents who completed the Phone interview, 6,325 also completed the SAQ. This updated version of the study is comprised of three primary datasets: Dataset 1, Main, Siblings, and Twin Data, contains responses from the main survey of 7,108 respondents. Respondents were asked to provide extensive information on their physical and mental health throughout their adult lives, and to assess the ways in which their lifestyles, including relationships and work-related demands, contributed to the conditions experienced. Those queried were asked to describe their histories of physical ailments, including heart-related conditions and cancer, as well as the treatment and/or lifestyle changes they went through as a result. A series of questions addressed alcohol, tobacco, and illegal drug use, and focused on history of use, regularity of use, attempts to quit, and how the use of those substances affected respondents' physical and mental well-being. Additional questions addressed respondents' sense of control over their health, their awareness of changes in their medical conditions, commitment to regular exercise and a healthy diet, experience with menopause, the decision-making process used to deal with health concerns, experiences with nontraditional remedies or therapies, and history of attending support groups. Respondents were asked to compare their overall well-being with that of their peers and to describe social, physical, and emotional characteristics typical of adults in their 20's, 40's, and 60's. Information on the work histories of respondents and their significant others was also elicited, with items covering the nature of their occupations, work-related physical and emotional demands, and how their personal health had correlated to their jobs. An additional series of questions focusing on childhood queried respondents regarding the presence/absence of their parents, religion, rules/punishments, love/affection, physical/verbal abuse, and the quality of their relationships with their parents and siblings. Respondents were also asked to consider their personal feelings of accomplishment, desire to learn, sense of control over their lives, interests, and hopes for the future. The Datasets previously numbered 2 and 3 have been removed to avoid redundancies, and all datasets have been renumbered. Please refer to the readme file. Dataset 2, Twin Screener Data, provides the first national sample of twin pairs ascertained randomly via the telephone. Dataset 3, Coded Text Responses, describes how open-ended textual responses in the MIDUS 1 Computer-Assisted Telephone Interview (CATI) and Self-Administered Questionnaire (SAQ) were transformed into categorical numeric codes. These codes are included in a stand-alone dataset containing only those cases (N=3,950) that contained text data in their responses. Online Analysis Only: Datasets 1, 2, and 3 were merged together by the SU_ID variable to form "Merged Data with Weights (Online Analysis Only)" (Dataset 4) for online analysis capabilities. MIDUS also maintains a Colectica portal, which allows users to interact with variables across waves and create customized subsets. Registration is required. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created online analysis version with question text.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes.. Presence of Common Scales: Generalized Anxiety Disorder (GAD) Scale; Somatic Amplification Scale; The Alcohol Screening Test; The Conflict Tactics (CT) Scales; The Revised Conflict Tactics Scales (CTS2); Loyola Generativity Scale (LGS); Many scales were constructed for use in the Midlife in the United States (MIDUS 1), 1995-1996 Study. For additional information on scale construction and sources, please refer to the scale documentation included with the data collection. Respondents were drawn from a nationally representative random-digit-dial sample of non-institutionalized, English-speaking adults, aged 25-74, selected from working telephone banks in the coterminous United States. Those queried participated in an initial telephone interview and responded to a mail questionnaire. Please see the Descriptions of Midlife in the United Sates (MIDUS) Samples documentation provided by ICPSR for more detailed information. Respondents were drawn from a nationally representative random-digit-dial sample of non-institutionalized, English-speaking adults, aged 25-74, selected from working telephone banks in the coterminous United States. Those queried participated in an initial telephone interview and responded to a mail questionnaire. Smallest Geographic Unit: None Datasets: DS0: Study-Level Files DS1: Main, Siblings and Twin Data DS2: Twin Screener Data DS3: Coded Text Data DS4: Merged Data with Weights (Online Analysis Only) DS6: Midlife in the United States (MIDUS 1), 1995-1996, Merged Data with Weights (Online Analysis Only) Response Rates: The response rate for the national Random-Digit Dialing (RDD) sample was 70 percent. The Self-Administered Questionnaire (SAQ) follow-up response rate was 89 percent. computer-assisted telephone interview (CATI) Midlife in the United States (MIDUS) Series self-enumerated questionnaire mail questionnaire
Average popularityAverage popularity In bottom 99%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product. - Research data . 1993EnglishAuthors:United States Department Of Commerce. Bureau Of The Census;United States Department Of Commerce. Bureau Of The Census;Publisher: ICPSR - Interuniversity Consortium for Political and Social ResearchProject: NWO | SeaO2 - turning carbon ca... (39532), NSF | Structural Change, Instit... (9411509)
(1) Although all records are 231 characters in length, each file is hierarchical in structure, containing a housing unit record followed by a variable number of person records. Both record types contain approximately 120 variables. Two improvements over the 1980 PUMS files have been incorporated. First, the housing unit serial number is identified on both the housing unit record and on the person record, allowing the file to be processed as a rectangular file. In addition, each person record is assigned an individual weight, allowing users to more closely approximate published reports. Unlike previous years, the 1990 PUMS 1-Percent and 5-Percent Samples have not been released in separate geographic series (known as "A," "B," etc. records). Instead, each sample has its own set of geographies, known as "Public Use Microdata Areas" (PUMAs), established by the Census Bureau with assistance from each State Data Center. The PUMAs in the 1-Percent Sample are based on a distinction between metropolitan and nonmetropolitan areas. Metropolitan areas encompass whole central cities, Primary Metropolitan Statistical Areas (PMSAs), Metropolitan Statistical Areas (MSAs), or groups thereof, except where the city or metropolitan area contains more than 200,000 inhabitants. In that case, the city or metropolitan area is divided into several PUMAs. Nonmetropolitan PUMAs are based on areas or groups of areas outside the central city, PMSA, or MSA. PUMAs in this 1-Percent Sample may cross state lines. (2) The codebook 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 through the ICPSR Website on the Internet. Datasets: DS0: Study-Level Files DS1: Alabama DS2: Alaska DS4: Arizona DS5: Arkansas DS6: California DS8: Colorado DS9: Connecticut DS10: Delaware DS11: District of Columbia DS12: Florida DS13: Georgia DS15: Hawaii DS16: Idaho DS17: Illinois DS18: Indiana DS19: Iowa DS20: Kansas DS21: Kentucky DS22: Louisiana DS23: Maine DS24: Maryland DS25: Massachusetts DS26: Michigan DS27: Minnesota DS28: Mississippi DS29: Missouri DS30: Montana DS31: Nebraska DS32: Nevada DS33: New Hampshire DS34: New Jersey DS35: New Mexico DS36: New York DS37: North Carolina DS38: North Dakota DS39: Ohio DS40: Oklahoma DS41: Oregon DS42: Pennsylvania DS44: Rhode Island DS45: South Carolina DS46: South Dakota DS47: Tennessee DS48: Texas DS49: Utah DS50: Vermont DS51: Virginia DS53: Washington DS54: West Virginia DS55: Wisconsin DS56: Wyoming DS72: Puerto Rico DS84: Geographic Equivalency File for the Entire Nation DS86: Ancestry Code List DS87: Place of Birth Code List DS88: Industry Code List DS89: Language Code List DS90: Occupation Code List DS91: Race Code List DS99: Public Use Microdata Areas (PUMAS) Crossing State Lines The Public Use Microdata Sample (PUMS) 1-Percent Sample contains household and person records for a sample of housing units that received the "long form" of the 1990 Census questionnaire. Data items include the full range of population and housing information collected in the 1990 Census, including 500 occupation categories, age by single years up to 90, and wages in dollars up to $140,000. Each person identified in the sample has an associated household record, containing information on household characteristics such as type of household and family income. A stratified sample, consisting of a subsample of the household units that received the 1990 Census "long-form" questionnaire (approximately 15.9 percent of all housing units). Census of Population and Housing, 1990 [United States] Series All persons and housing units in the United States.
Average popularityAverage popularity In bottom 99%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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- Research data . 1984EnglishAuthors:United States Department Of Education. National Center For Education Statistics;United States Department Of Education. National Center For Education Statistics;Publisher: ICPSR - Interuniversity Consortium for Political and Social ResearchProject: NWO | Learning More from Empiri... (2300130468)
This data collection provides the second wave of data in a longitudinal, multi-cohort study of American youth conducted by the National Opinion Research Center (NORC) on behalf of the National Center for Education Statistics. The first wave of data was collected in 1980 (ICPSR 7896) and the third wave was collected in 1984 (ICPSR 8443). Student identification numbers included in each record permit data from these surveys to be merged with other High School and Beyond files. The base-year (1980) study incorporated student data from both cohorts into one file. Due to the more complex design of the First Follow-Up and a resulting increase in the volume of available data, separate files have been created for the two cohorts. The sophomore cohort portion of this collection replicates nearly all of the types of data gathered in the base-year study (ICPSR 7896), including students' behavior and experiences in the secondary school setting, outside employment, educational and occupational aspirations and expectations, personal and family background, and personal attitudes and beliefs. Also, the same cognitive test was administered in the base-year and follow-up surveys. The senior cohort portion, in contrast, emphasizes postsecondary education and work experiences. Education data include the amount and type of school completed, school financing, aspirations, and non-school training. Information is also provided on labor force participation and aspirations, military service, and financial status. The senior cohort did not take the cognitive test for the follow-up survey. Both cohorts provide demographic data such as age, race, sex, and ethnic background. The Transcripts Survey provides information on individual students such as the type of high school program, the student's grade point average, attendance, class rank and size, and participation in special education programs, plus course-oriented data such as the year a course was taken, the type of course, credit earned, and grades received. The Offerings and Enrollments Survey file contains data on each school in the sample and include variables such as size and type of institution, type of schedule used, ethnic composition of the faculty and student body, busing, types of programs and specific courses offered, school facilities, number of handicapped students, and school staffing. In addition, information is provided on academic and disciplinary policies, and perceived problems in the school. The Local Labor Market Indicators file contains economic and labor market data for the geographical area of each school in the sample, given both by county and by Standard Metropolitan Statistical Area. The School Questionnaire file incorporates data elements from both the Base-Year School Questionnaire and the First Follow-up School Questionnaire, along with other information from sampling files, into a single record for each school. Topics include institutional characteristics such as total enrollment, average daily attendance rates, dropout rates, remedial programs, provisions for handicapped and disadvantaged students, participation in federal programs, teacher retention and absenteeism, per-pupil expenditures, school rules and policies, and ownership and funding of nonpublic schools. The base-year High School and Beyond Survey (ICPSR 7896) used a stratified, disproportionate probability sample of 1,122 schools selected from a sampling frame of 24,725 high schools. Within each school, 36 seniors and 36 sophomores were randomly chosen. For the First Follow-Up, the National Opinion Research Center attempted to survey all 1980 sophomores and a subsample of 1980 seniors who participated in the base-year survey. Supplementary questionnaires were utilized for those 1980 sophomores who were not currently attending any school, had transferred to other schools, or had graduated early. The Transcripts Survey includes every secondary-school course taken by a sub-sample of the sophomore cohort. The Course Offerings and Enrollments Survey contains data from schools that were selected as first-stage sample units (clusters) for the sampling of students in the base-year survey, and in which sophomore High School and Beyond students were actively enrolled during the 1981-1982 academic year. For the Local Labor Market Indicators file, economic variables were derived from data provided by the Bureau of Labor Statistics and the Bureau of Economic Analysis. For the School Questionnaire file, follow-up data were requested from all base-year schools that were still in existence as independent institutions and that had members of the 1980 sophomore cohort currently enrolled. Follow-up data were not collected from schools that had closed, merged with other schools, or had no 10th or 12th grade students during the base year, nor from schools to which students transferred as individuals. However, in 17 instances students from a base-year school were transferred en masse to a new school, and school questionnaires were sought from these new schools. These 17 schools do not have weights as their selection probabilities are unknown. Datasets: DS0: Study-Level Files DS1: Sophomore Cohort First Follow-Up Data DS2: SAS Control Cards for Sophomore First Follow-up Data DS3: User's Manual for Sophomore First Follow-up Data DS4: Senior Cohort First Follow-Up Data DS5: SAS Control Cards for Senior First Follow-up Data DS6: Sophomore Cohort Transcripts Survey Data DS7: Sophomore Cohort Transcripts Survey CSSC Codes DS8: Sophomore Cohort Transcripts Survey SPSS Cards for Record Sophomore Cohort Type 1 DS9: Sophomore Cohort Transcripts Survey SPSS Cards for Record Sophomore Cohort Type 2 DS10: Sophomore Cohort Transcripts Survey SAS Control Cards DS11: Course Offerings and Enrollments Data DS12: Course Offerings and Enrollments CSSC Codes DS13: Course Offerings and Enrollments SPSS Cards for Record Type 1 DS14: Course Offerings and Enrollments SPSS Cards for Record Type 2 DS15: Local Labor Market Indicators Data DS16: Local Labor Market Indicators SAS Control Cards DS17: School Questionnaire Data DS18: SAS Control Cards for School Questionnaire Data There are two distinct types of records in the Transcripts and the Offerings and Enrollments files: for each case, there is a Type 1 record that contains information for a single student or school. Immediately following each Type 1 record are one or more Type 2 records, each of which provides data on a single course taken by the student or offered by the school. Because the number of courses may vary, the length of the combined Type 2 records varies as well. Therefore these two files are written in variable blocked format. In both of these files the total number of records greatly exceeds the number of cases: the Transcripts file has a total of 471,330 records, and the Offerings and Enrollments file has 142,290 records. The universe for this collection consists of all persons in the United States who were high school sophomores or seniors in 1980. High School and Beyond (HS&B) Series
Average popularityAverage popularity In bottom 99%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product. - Research data . 2020Open AccessAuthors:van Zuijlen, Mitchell; Pont, S.C. (Sylvia); Wijntjes, M.W.A. (Maarten);van Zuijlen, Mitchell; Pont, S.C. (Sylvia); Wijntjes, M.W.A. (Maarten);Publisher: 4TU.Centre for Research DataCountry: NetherlandsProject: NWO | Visual communication of m... (26743)
A collection of around 11.000 painted faces, from 6 galleries, and a datafile with statistics for each face. Each face is present as a crop from the original painting, a crop with the background removed and a crop with the background, eyes and mouth removed.
Average popularityAverage popularity In bottom 99%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product. - Research data . 2021Open AccessAuthors:van Zuijlen, Mitchell; Lin, Hubert; Bala, Kavita; Pont, S.C. (Sylvia); Wijntjes, M.W.A. (Maarten);van Zuijlen, Mitchell; Lin, Hubert; Bala, Kavita; Pont, S.C. (Sylvia); Wijntjes, M.W.A. (Maarten);Country: NetherlandsProject: NWO | Visual communication of m... (26743)
Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision.Download the README.txt first to help you decide what you want/need to download!In this dataset, we capture the painterly depictions of materials to enable the study of depiction and perception of materials through the artists' eye. We annotated a dataset of 19k paintings with 200k+ bounding boxes from which polygon segments were automatically extracted. Each bounding box was assigned a coarse label (e.g., fabric) and a fine-grained label (e.g., velvety, silky).Note that the data can be browed and explored on https://materialsinpaintings.tudelft.nl. If you only want to download a few paintings, using that website might be faster.
Average popularityAverage popularity In bottom 99%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product. - Open AccessAuthors:van Nieukerken, Erik J.; Gilrein, Daniel Owen; Eiseman, Charles S.;van Nieukerken, Erik J.; Gilrein, Daniel Owen; Eiseman, Charles S.;Publisher: ZenodoProject: NWO | GRMHD simulations of thin... (27728)
Specimen data of Stigmellamultispicata and other Ulmus mining Nepticulidae : Explanation note: The 288 records are the records of specimens examined and records obtained from online sources, of the taxa treated in this paper and supplement the presented Material examined.
- Research data . Other dataset type . 2018Open Access EnglishAuthors:Salabarnada, Ariadna; Escutia, Carlota; Röhl, Ursula; Nelson, C Hans; McKay, Robert M; Jiménez-Espejo, Francisco Jose; Bijl, Peter K; Hartman, Julian D; Ikehara, Minoru; Strother, Stephanie L; +6 moreSalabarnada, Ariadna; Escutia, Carlota; Röhl, Ursula; Nelson, C Hans; McKay, Robert M; Jiménez-Espejo, Francisco Jose; Bijl, Peter K; Hartman, Julian D; Ikehara, Minoru; Strother, Stephanie L; Salzmann, Ulrich; Evangelinos, Dimitris; López-Quirós, Adrián; Flores, José Abel; Sangiorgi, Francesca; Brinkhuis, Henk;Publisher: PANGAEAProject: NWO | The Dawn of a Greenhouse ... (10684), NWO | Reconstructing the the ev... (7456)
Antarctic ice sheet and Southern Ocean paleoceanographic configurations during the late Oligocene are not well resolved. They are however important to understand the influence of high-latitude Southern Hemisphere feedbacks on global climate under CO2 scenarios (between 400 and 750 ppm) projected by the IPCC for this century, assuming unabated CO2 emissions. Sediments recovered by the Integrated Ocean Drilling Program (IODP) at Site U1356, offshore of the Wilkes Land margin in East Antarctica, provide an opportunity to study ice sheet and paleoceanographic configurations during the late Oligocene (26-25 Ma). Our study, based on a combination of sediment facies analysis, magnetic susceptibility, density, and X-Ray Fluorescence geochemical data, shows that glacial and interglacial sediments are continuously reworked by bottom-currents, with maximum velocities occurring during the interglacial periods. Glacial sediments record poorly ventilated, low-oxygenation bottom water conditions, interpreted to result from a northward shift of westerly winds and surface oceanic fronts. Interglacial sediments record more oxygenated and ventilated bottom water conditions and strong current velocities, which suggests enhanced mixing of the water masses as a result of a southward shift of the Polar Front. Intervals with preserved carbonated nannofossils within some of the interglacial facies are interpreted to form under warmer paleoclimatic conditions when less corrosive warmer northern component water (e.g. North Atlantic sourced deep water) had a greater influence on the Site. Spectral analysis on the late Oligocene sediment interval show that the glacial-interglacial cyclicity and related displacements of the Southern Ocean frontal systems between 26-25 Ma were forced mainly by obliquity. The paucity of iceberg rafted debris (IRD) throughout the studied interval contrasts with earlier Oligocene and post-Miocene Climate Optimum sections from Site U1356 and with late Oligocene strata from the Ross Sea, which contain IRD and evidence for coastal glaciers and sea ice. These observations, supported by elevated sea surface paleotemperatures, the absence of sea-ice, and reconstructions of fossil pollen between 26 and 25 Ma at Site U1356, suggest that open ocean water conditions prevailed. Combined, these evidences suggest that glaciers or ice caps likely occupied the topographic highs and lowlands of the now marine Wilkes Subglacial Basin (WSB). Unlike today, the continental shelf was not over-deepened and thus ice sheets in the WSB were likely land-based and marine-based ice sheet expansion was likely limited to coastal regions. Supplement to: Salabarnada, Ariadna; Escutia, Carlota; Röhl, Ursula; Nelson, C Hans; McKay, Robert M; Jiménez-Espejo, Francisco Jose; Bijl, Peter K; Hartman, Julian D; Strother, Stephanie L; Salzmann, Ulrich; Evangelinos, Dimitris; López-Quirós, Adrián; Flores, José Abel; Sangiorgi, Francesca; Ikehara, Minoru; Brinkhuis, Henk (2018): Paleoceanography and ice sheet variability offshore Wilkes Land, Antarctica – Part 1: Insights from late Oligocene astronomically paced contourite sedimentation. Climate of the Past, 14(7), 991-1014
Average popularityAverage popularity In bottom 99%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product. - Research data . 2016Open AccessAuthors:Agnieszka Płonka;Agnieszka Płonka;Publisher: ZenodoProject: NWO | Full waveform inversion f... (8807)
This dataset should provide complete synthetic seismograms and software (python tools for random media generation, signal comparison and histogram stacking) that were used in the publication: Płonka, A., Blom, N., and Fichtner, A.: The imprint of crustal density heterogeneities on regional seismic wave propagation, Solid Earth, 7, 1591-1608, doi:10.5194/se-7-1591-2016, 2016.
Average popularityAverage popularity In bottom 99%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product. - Research data . Other dataset type . 2017Open Access EnglishAuthors:Stap, Lennert Bastiaan; van de Wal, Roderik S W; de Boer, Bas; Bintanja, Richard; Lourens, Lucas Joost;Stap, Lennert Bastiaan; van de Wal, Roderik S W; de Boer, Bas; Bintanja, Richard; Lourens, Lucas Joost;Publisher: PANGAEAProject: NWO | A consensus of past clima... (13588)
Model output of a coupled ice sheet-climate model, inversely forced by benthic d18O over the past 38 million years. Sheet 1 contains the main results from the reference simulation: benthic d18O, CO2, ice-volume-equivalent sea level and global temperature. Sheet 2 contains global, Northern Hemisphere (40-80 deg N), and Antarctic (60-90 deg S) temperatures, from the reference run and the run with ice uncoupled, only albedo coupled, and only surface height coupled. Sheet 3 contains global temperature, from the reference run, and the runs with fixed PD ice, fixed LGM ice, and no ice. Details are given in the publication. More information or data can be obtained by contacting L.B. Stap (lennert.stap@awi.de). Supplement to: Stap, Lennert Bastiaan; van de Wal, Roderik S W; de Boer, Bas; Bintanja, Richard; Lourens, Lucas Joost (2017): The influence of ice sheets on temperature during the past 38 million years inferred from a one-dimensional ice sheet-climate model. Climate of the Past, 13(9), 1243-1257
Average popularityAverage popularity In bottom 99%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product. - Research data . 2018Authors:Pierik, Harm Jan; Rowin J Van Lanen; Gouw-Bouman, Marjolein TIJ; Groenewoudt, Bert J; Wallinga, Jakob; Hoek, Wim Z;Pierik, Harm Jan; Rowin J Van Lanen; Gouw-Bouman, Marjolein TIJ; Groenewoudt, Bert J; Wallinga, Jakob; Hoek, Wim Z;Publisher: SAGE JournalsProject: NWO | The Dark Age of the Lowla... (8847)
Supplemental material, Appendix_A_and_B for Controls on late-Holocene drift-sand dynamics: The dominant role of human pressure in the Netherlands by Harm Jan Pierik, Rowin J van Lanen, Marjolein TIJ Gouw-Bouman, Bert J Groenewoudt, Jakob Wallinga and Wim Z Hoek in The Holocene
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You have already added works in your ORCID record related to the merged Research product. - Research data . 1999EnglishAuthors:Brim, Orville Gilbert; Baltes, Paul B.; Bumpass, Larry L.; Cleary, Paul D.; Featherman, David L.; Hazzard, William R.; Kessler, Ronald C.; Lachman, Margie E.; Markus, Hazel Rose; Marmot, Michael G.; +3 moreBrim, Orville Gilbert; Baltes, Paul B.; Bumpass, Larry L.; Cleary, Paul D.; Featherman, David L.; Hazzard, William R.; Kessler, Ronald C.; Lachman, Margie E.; Markus, Hazel Rose; Marmot, Michael G.; Rossi, Alice S.; Ryff, Carol D.; Shweder, Richard A.;
doi: 10.3886/icpsr02760.v15 , 10.3886/icpsr02760.v16 , 10.3886/icpsr02760.v4 , 10.3886/icpsr02760.v18 , 10.3886/icpsr02760.v5 , 10.3886/icpsr02760.v6 , 10.3886/icpsr02760.v14 , 10.3886/icpsr02760.v13 , 10.3886/icpsr02760.v7 , 10.3886/icpsr02760.v17 , 10.3886/icpsr02760 , 10.3886/icpsr02760.v9 , 10.3886/icpsr02760.v10 , 10.3886/icpsr02760.v12 , 10.3886/icpsr02760.v2 , 10.3886/icpsr02760.v11 , 10.3886/icpsr02760.v8 , 10.3886/icpsr02760.v19 , 10.3886/icpsr02760.v1 , 10.3886/icpsr02760.v3
doi: 10.3886/icpsr02760.v15 , 10.3886/icpsr02760.v16 , 10.3886/icpsr02760.v4 , 10.3886/icpsr02760.v18 , 10.3886/icpsr02760.v5 , 10.3886/icpsr02760.v6 , 10.3886/icpsr02760.v14 , 10.3886/icpsr02760.v13 , 10.3886/icpsr02760.v7 , 10.3886/icpsr02760.v17 , 10.3886/icpsr02760 , 10.3886/icpsr02760.v9 , 10.3886/icpsr02760.v10 , 10.3886/icpsr02760.v12 , 10.3886/icpsr02760.v2 , 10.3886/icpsr02760.v11 , 10.3886/icpsr02760.v8 , 10.3886/icpsr02760.v19 , 10.3886/icpsr02760.v1 , 10.3886/icpsr02760.v3
Publisher: Inter-University Consortium for Political and Social ResearchProject: NWO | Genetische en omgevingsin... (2300131870), AKA | Midlife predictors of dem... (311492), AKA | Determinants of labour ma... (265174), NIH | MEASUREMENT OF ESTRADIOL ... (5M01RR023942-02), NSF | IBSS: Understanding Long-... (1327768), NIH | Implementing World Health... (1E11OH010676-01), SSHRC , NIH | Midlife Health in Japan (... (5R37AG027343-08), NIH | Integrative Pathways to H... (5P01AG020166-03), NIH | CHANGES IN HEALTH--SOCIOE... (5R01AG013196-03),...The Midlife in the United States (MIDUS) is a collaborative, interdisciplinary investigation of patterns, predictors, and consequences of midlife development in the areas of physical health, psychological well-being, and social responsibility. A description of the study and findings from it are available at http://www.midus.wisc.edu. The first wave of the MIDUS study (MIDUS 1 or M1) collected survey data from a total of 7,108 participants. The baseline sample was comprised of individuals from four subsamples: (1) a national RDD (random digit dialing) sample (n=3,487); (2) oversamples from five metropolitan areas in the U.S. (n=757); (3) siblings of individuals from the RDD sample (n=950); and (4) a national RDD sample of twin pairs (n=1,914). All eligible participants were non-institutionalized, English-speaking adults in the coterminous United States, aged 25 to 74. Data from the samples were collected primarily in 1995/96. The survey (Project 1) dataset contains responses from a 30-minute Phone interview and two 50-page Self-Administered Questionnaire (SAQ) instruments. Of the 7,108 respondents who completed the Phone interview, 6,325 also completed the SAQ. This updated version of the study is comprised of three primary datasets: Dataset 1, Main, Siblings, and Twin Data, contains responses from the main survey of 7,108 respondents. Respondents were asked to provide extensive information on their physical and mental health throughout their adult lives, and to assess the ways in which their lifestyles, including relationships and work-related demands, contributed to the conditions experienced. Those queried were asked to describe their histories of physical ailments, including heart-related conditions and cancer, as well as the treatment and/or lifestyle changes they went through as a result. A series of questions addressed alcohol, tobacco, and illegal drug use, and focused on history of use, regularity of use, attempts to quit, and how the use of those substances affected respondents' physical and mental well-being. Additional questions addressed respondents' sense of control over their health, their awareness of changes in their medical conditions, commitment to regular exercise and a healthy diet, experience with menopause, the decision-making process used to deal with health concerns, experiences with nontraditional remedies or therapies, and history of attending support groups. Respondents were asked to compare their overall well-being with that of their peers and to describe social, physical, and emotional characteristics typical of adults in their 20's, 40's, and 60's. Information on the work histories of respondents and their significant others was also elicited, with items covering the nature of their occupations, work-related physical and emotional demands, and how their personal health had correlated to their jobs. An additional series of questions focusing on childhood queried respondents regarding the presence/absence of their parents, religion, rules/punishments, love/affection, physical/verbal abuse, and the quality of their relationships with their parents and siblings. Respondents were also asked to consider their personal feelings of accomplishment, desire to learn, sense of control over their lives, interests, and hopes for the future. The Datasets previously numbered 2 and 3 have been removed to avoid redundancies, and all datasets have been renumbered. Please refer to the readme file. Dataset 2, Twin Screener Data, provides the first national sample of twin pairs ascertained randomly via the telephone. Dataset 3, Coded Text Responses, describes how open-ended textual responses in the MIDUS 1 Computer-Assisted Telephone Interview (CATI) and Self-Administered Questionnaire (SAQ) were transformed into categorical numeric codes. These codes are included in a stand-alone dataset containing only those cases (N=3,950) that contained text data in their responses. Online Analysis Only: Datasets 1, 2, and 3 were merged together by the SU_ID variable to form "Merged Data with Weights (Online Analysis Only)" (Dataset 4) for online analysis capabilities. MIDUS also maintains a Colectica portal, which allows users to interact with variables across waves and create customized subsets. Registration is required. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created online analysis version with question text.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes.. Presence of Common Scales: Generalized Anxiety Disorder (GAD) Scale; Somatic Amplification Scale; The Alcohol Screening Test; The Conflict Tactics (CT) Scales; The Revised Conflict Tactics Scales (CTS2); Loyola Generativity Scale (LGS); Many scales were constructed for use in the Midlife in the United States (MIDUS 1), 1995-1996 Study. For additional information on scale construction and sources, please refer to the scale documentation included with the data collection. Respondents were drawn from a nationally representative random-digit-dial sample of non-institutionalized, English-speaking adults, aged 25-74, selected from working telephone banks in the coterminous United States. Those queried participated in an initial telephone interview and responded to a mail questionnaire. Please see the Descriptions of Midlife in the United Sates (MIDUS) Samples documentation provided by ICPSR for more detailed information. Respondents were drawn from a nationally representative random-digit-dial sample of non-institutionalized, English-speaking adults, aged 25-74, selected from working telephone banks in the coterminous United States. Those queried participated in an initial telephone interview and responded to a mail questionnaire. Smallest Geographic Unit: None Datasets: DS0: Study-Level Files DS1: Main, Siblings and Twin Data DS2: Twin Screener Data DS3: Coded Text Data DS4: Merged Data with Weights (Online Analysis Only) DS6: Midlife in the United States (MIDUS 1), 1995-1996, Merged Data with Weights (Online Analysis Only) Response Rates: The response rate for the national Random-Digit Dialing (RDD) sample was 70 percent. The Self-Administered Questionnaire (SAQ) follow-up response rate was 89 percent. computer-assisted telephone interview (CATI) Midlife in the United States (MIDUS) Series self-enumerated questionnaire mail questionnaire
Average popularityAverage popularity In bottom 99%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product. - Research data . 1993EnglishAuthors:United States Department Of Commerce. Bureau Of The Census;United States Department Of Commerce. Bureau Of The Census;Publisher: ICPSR - Interuniversity Consortium for Political and Social ResearchProject: NWO | SeaO2 - turning carbon ca... (39532), NSF | Structural Change, Instit... (9411509)
(1) Although all records are 231 characters in length, each file is hierarchical in structure, containing a housing unit record followed by a variable number of person records. Both record types contain approximately 120 variables. Two improvements over the 1980 PUMS files have been incorporated. First, the housing unit serial number is identified on both the housing unit record and on the person record, allowing the file to be processed as a rectangular file. In addition, each person record is assigned an individual weight, allowing users to more closely approximate published reports. Unlike previous years, the 1990 PUMS 1-Percent and 5-Percent Samples have not been released in separate geographic series (known as "A," "B," etc. records). Instead, each sample has its own set of geographies, known as "Public Use Microdata Areas" (PUMAs), established by the Census Bureau with assistance from each State Data Center. The PUMAs in the 1-Percent Sample are based on a distinction between metropolitan and nonmetropolitan areas. Metropolitan areas encompass whole central cities, Primary Metropolitan Statistical Areas (PMSAs), Metropolitan Statistical Areas (MSAs), or groups thereof, except where the city or metropolitan area contains more than 200,000 inhabitants. In that case, the city or metropolitan area is divided into several PUMAs. Nonmetropolitan PUMAs are based on areas or groups of areas outside the central city, PMSA, or MSA. PUMAs in this 1-Percent Sample may cross state lines. (2) The codebook 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 through the ICPSR Website on the Internet. Datasets: DS0: Study-Level Files DS1: Alabama DS2: Alaska DS4: Arizona DS5: Arkansas DS6: California DS8: Colorado DS9: Connecticut DS10: Delaware DS11: District of Columbia DS12: Florida DS13: Georgia DS15: Hawaii DS16: Idaho DS17: Illinois DS18: Indiana DS19: Iowa DS20: Kansas DS21: Kentucky DS22: Louisiana DS23: Maine DS24: Maryland DS25: Massachusetts DS26: Michigan DS27: Minnesota DS28: Mississippi DS29: Missouri DS30: Montana DS31: Nebraska DS32: Nevada DS33: New Hampshire DS34: New Jersey DS35: New Mexico DS36: New York DS37: North Carolina DS38: North Dakota DS39: Ohio DS40: Oklahoma DS41: Oregon DS42: Pennsylvania DS44: Rhode Island DS45: South Carolina DS46: South Dakota DS47: Tennessee DS48: Texas DS49: Utah DS50: Vermont DS51: Virginia DS53: Washington DS54: West Virginia DS55: Wisconsin DS56: Wyoming DS72: Puerto Rico DS84: Geographic Equivalency File for the Entire Nation DS86: Ancestry Code List DS87: Place of Birth Code List DS88: Industry Code List DS89: Language Code List DS90: Occupation Code List DS91: Race Code List DS99: Public Use Microdata Areas (PUMAS) Crossing State Lines The Public Use Microdata Sample (PUMS) 1-Percent Sample contains household and person records for a sample of housing units that received the "long form" of the 1990 Census questionnaire. Data items include the full range of population and housing information collected in the 1990 Census, including 500 occupation categories, age by single years up to 90, and wages in dollars up to $140,000. Each person identified in the sample has an associated household record, containing information on household characteristics such as type of household and family income. A stratified sample, consisting of a subsample of the household units that received the 1990 Census "long-form" questionnaire (approximately 15.9 percent of all housing units). Census of Population and Housing, 1990 [United States] Series All persons and housing units in the United States.
Average popularityAverage popularity In bottom 99%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.