cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7280/d1k01z
title: Annual Survey of Orange County 1997

description: This sixteenth report of the Orange County Annual Survey, UCI, examines
 several topics of relevance in Orange County. The survey continues to
 track trends over time in the county's social, economic and political
 arenas. There is a special focus on the proposed airport, local public
 schools, charitable behavior and attitudes, and political orientation. The
 sample size is 1,002 Orange County adult residents.Online data analysis
 & additional documentation in Link below.
description: The Orange County Annual Survey, UCI, was co-directed by Mark Baldassare,
 professor and chairof urban and regional planning, and Cheryl Katz,
 research associate. The random telephone survey included interviews with
 1,002 Orange County adult residents between Sept. 4-Sept. 14, 1997. We
 follow the methods used in the 15 previous surveys. 
 
 Interviewing was conducted on weekend days and mweekday nights, using a
 computer-generated random sample of telephone numbers. Within a household,
 adult respondents were randomly chosen for interviews. Each interview
 included 66 questions and took an average of 20 minutes to complete. The
 interviewing was conducted in English and Spanish, as needed. The
 completion rate for the survey was 66 percent. This rate is consistent
 with earlier Orange County Annual Surveys. The fieldwork was conducted by
 Interviewing Services of America of Van Nuys, CA. 
 
 The survey sample was compared to the U.S. Census and state figures by
 city for Orange County and was found to represent the actual regional
 distribution of Orange County residents. The sample's demographic
 characteristics were also closely comparable to the census and other
 survey data including previous Orange County Annual Surveys. 
 
 The sampling error for this survey is +/3 percent at the 95 percent
 confidence level. This means that 95 times out of 100, the results will be
 within 3 percentage points of what they would be if all adults in Orange
 County were interviewed. The sampling error for any subgroup would be
 larger. Sampling error is just one type of error to which surveys are
 subject. Results may also be affected by question wording, ordering, and
 survey timing. 
 
 Throughout the report, we refer to four geographic regions. North County
 includes Anaheim, Orange, Villa Park, La Habra, Brea, Buena Park,
 Fullerton, Placentia and Yorba Linda. West County includes La Palma,
 Cypress, Los Alamitos, Rossmoor, Seal Beach, Westminster, Midway City,
 Stanton, Fountain Valley and Huntington Beach. Central County includes
 Santa Ana, Garden Grove, Tustin, Tustin Foothills and Costa Mesa. South
 Countyincludes Newport Beach, Irvine, Lake Forest, Aliso Viejo, Laguna
 Hills, Laguna Niguel, Mission Viejo, Portola Hills, Rancho Santa
 Margarita, Coto de Caza, Trabuco Highlands, El Toro Station, Laguna Beach,
 Dana Point, San Clemente and San Juan Capistrano. In the analysis of the
 questions on the proposed airport, we divide the county into North County
 and South County, with Newport Beach included in the northern region.
DOI: 10.7280/d1pp4x
title: Annual Survey of Orange County 1996

description: This fifteenth Orange County Annual Survey, UCI, examines several topics
 of recent relevance in Orange County and analyzes social, economic and
 political trends over time. The survey measures the extent to which Orange
 County has recovered from the economic recession and the county
 government's bankruptcy. It does this by analyzing trends in
 attitudes toward the economy, quality of life, local government, consumer
 confidence and personal finance. A special focus this year is to better
 understand attitudes about charity and charitable giving. Finally, it
 continues to track trends over time in the county's most important
 problems, transportation, housing and the political climate. The sample
 size is 1,000 Orange County adult residents.Online data analysis &
 additional documentation in Link below.
description: The Orange County Annual Survey, UCI, was co-directed by Mark Baldassare,
 professor and chair of urban and regional planning, and Cheryl Katz,
 research associate. The random telephone survey included interviews with
 1,000 Orange County adult residents co nducted August 30 to September 8,
 1996. We follow the methods used in the 14 previous surveys. 
 
 Interviewing was conducted on weekend days and weekday nights, using a
 computer-generated random sample of telephone numbers. Within a household,
 adult respondents were randomly chosen for interview. Each interview
 included 96 questions and took an average of 20 minutes to complete. The
 interviewing was conducted in English and Spanish, as needed. The
 completion rate for the survey was 68 percent. This rate is consistent
 with earlier Orange County Annual Surveys. The field work was conducted by
 Interviewing Services of America in Van Nuys, CA. 
 
 The survey sample was compared to the U.S. Census and state figures by
 city for Orange County and was found to represent the actual regional
 distribution of Orange County residents. The sample's demographic
 characteristics were also closely comparable to the Census and other
 survey data, including the previous Orange County Annual Surveys.
 
 The sampling error for this survey is +/3 percent at the 95 percent
 confidence level. This means that 95 times out of 100, the results will be
 within 3 percentage points of what they would be if all adults in Orange
 County were interviewed. The sampling error for any subgroup would be
 larger. Sampling error is just one type of error to which surveys are
 subject. Results may also be affected by question wording, ordering, and
 survey timing.
DOI: 10.7280/d1tg6v
title: Annual Survey of Orange County 1995

description: This fourteenth Orange County Annual Survey, UCI, spotlights several top
 concerns of Orange County residents. This year's survey focuses on
 the Orange County financial crisis that began last December when the
 county government declared bankruptcy. It seeks to determine how the
 financial crisis has affected attitudes about the local economy and
 quality of life. The sample size is 1,001 Orange County adult
 residents.Online data analysis & additional documentation in Link
 below.
description: The Orange County Annual Survey, UCI, was co-directed by Mark Baldassare,
 professor and chair of urban and regional planning, and Cheryl Katz,
 research associate. The random telephone survey included interviews with
 1,001 Orange County adult residents conducted August 18 to 27, 1995. 
 
 We follow the methodology used in the 13 previous surveys. 
 
 Interviewing was conducted on weekend days and weekday nights, using a
 computer-generated random sample of telephone numbers. Within a household,
 adult respondents were randomly chosen for interview. Each interview
 included 94 questions and took an average of 20 minutes to complete. The
 interviewing was conducted in English and Spanish, as needed. 
 
 The completion rate for the survey was 74 percent. This rate is consistent
 with earlier Orange County Annual Surveys. Of the telephone numbers
 called, 20 percent resulted in completed interviews and 7 percent were
 refusals. The field work was conducted by Interviewing Services of America
 in Van Nuys, CA. 
 
 The sample was compared to the U.S. Census and state figures by city for
 Orange County, and was found to represent the actual regional distribution
 of Orange County residents. The sample's demographic characteristics
 were also closely comparable to the Census and other survey data for
 Orange County residents. 
 
 The sampling error for this survey is +/3 percent at the 95 percent
 confidence level. This means that 95 times out of 100, the results will be
 within 3 percentage points of what they would be if all adults in Orange
 County were interviewed. The sampling error for any subgroup would be
 larger. Sampling error is just one type of error to which surveys are
 subject. Results may also be affected by question wording, ordering, and
 survey timing.
DOI: 10.7280/d1z594
title: Annual Survey of Orange County 1994

description: This thirteenth Orange County Annual Survey, UCI, spotlights several top
 concerns of Orange County residents, most notably: crime and the economy.
 In addition, the survey continues to track topics from previous years. The
 1994 survey was conducted August 19 to 29 and included interviews with
 1,000 adults.Online data analysis & additional documentation in
 Link below.
description: The Orange County Annual Survey, UCI was co-directed by Mark Baldassare,
 professor and chair of urban and regional planning, and Cheryl Katz,
 research associate. The random telephone survey included interviews with
 1,000 Orange County adult residents conducted August 19 to 29, 1994. 
 
 Interviewing was conducted on weekend days and weekday nights, using a
 computer-generated random sample of telephone numbers. Within a household,
 adult respondents were randomly chosen for interview. Each interview
 included 94 questions and took an average of 20 minutes to complete. The
 interviewing was conducted in English and Spanish, as needed.
 
 The completion rate for the survey was 61 percent. This rate is consistent
 with earlier Orange County Annual Surveys. Of the telephone numbers
 called, 20 percent resulted in completed interviews and 13 percent were
 refusals. The field work was conducted by Interviewing Services of America
 of Van Nuys, CA.
 
 The sample was compared to the 1990 U.S. Census population figures by city
 for Orange County and was found to represent the actual regional
 distribution of Orange County residents. The sample's demographic
 characteristics were also closely comparable to the Census and other data
 available on Orange County residents.
 
 The sampling error for this survey is +/3 percent at the 95 percent
 confidence level. This means that 95 times out of 100, the results will be
 within 3 percentage points of what they would be if all adults in Orange
 County were interviewed. The sampling error for any subgroup would be
 larger. Sampling error is just one type of error to which surveys are
 subject. Results may also be affected by question wording, ordering, and
 survey timing.
DOI: 10.5281/zenodo.18393151
title: Do some pre-injury signals in the national electronic health records can serve as warning signals for subsequent driver/rider-related traumatic spinal cord injury?

description: An anonymized SPSS data file and analysis outputs have been uploaded.

Aim of this study was to determine whether pre-injury healthcare utilization patterns in national electronic health care records can serve as warning signals for subsequent driver/rider-related traumatic spinal cord injury.
DOI: 10.7280/d1301m
title: Annual Survey of Orange County 1993

description: The twelfth Orange County Annual Survey again focuses on the issue of jobs
 and the economic outlook. The survey also analyzes the emerging issue of
 crime in Orange County. Lastly, It examines several topics that have been
 monitored over time. The sample size is 1,007 Orange County adult
 residents.Online data analysis & additional documentation in Link
 below.
description: The Orange County Annual Survey, UCI was co-directed by Mark Baldassare,
 professor and chair of urban and regional planning, and Cheryl Katz,
 research associate. The random telephone survey included 1,007 Orange
 County adult residents interviewed August 20 to 29, 1993. We follow the
 methodology used in the 11 previous surveys. 
 
 Interviewing was conducted on weekend days and weekday nights, using a
 computer-generated random sample of telephone numbers. Within a household,
 adult respondents were randomly chosen for interview. Each interview
 included 94 questions and took an average of 20 minutes to complete. The
 interviewing was conducted in English and Spanish, as needed. 
 
 The completion rate for the survey was 63 percent. This rate is consistent
 with earlier Orange County Annual Surveys. Of the telephone numbers
 called, 20 percent resulted in completed interviews and 12 percent were
 refusals. The field work was conducted by Interviewing Services of America
 of Van Nuys, CA. 
 
 The sample was compared to the 1990 U.S. Census population figures by city
 for Orange County and was found to represent the actual regional
 distribution of Orange County residents. 
 
 The sampling error for this survey is +/3 percent at the 95 percent
 confidence level. This means that 95 times out of 100, the results will be
 within 3 percentage points of what they would be if all adults in Orange
 County were interviewed. The sampling error for any subgroup would be
 larger. Sampling error is just one type of error to which surveys are
 subject. Results may also be affected by question wording, ordering, and
 survey timing.
DOI: 10.5281/zenodo.18393150
title: Do some pre-injury signals in the national electronic health records can serve as warning signals for subsequent driver/rider-related traumatic spinal cord injury?

description: An anonymized SPSS data file and analysis outputs have been uploaded.

Aim of this study was to determine whether pre-injury healthcare utilization patterns in national electronic health care records can serve as warning signals for subsequent driver/rider-related traumatic spinal cord injury.
DOI: 10.7280/d16p4k
title: Annual Survey of Orange County 1992

description: The eleventh Orange County Annual Survey focuses on the timely issue of
 "Jobs and the Economy". The attention to jobs and the economy
 comes at a critical time in the county's history. After a decade of
 rapid employment growth, Orange County has had significant job losses in
 the 1990s. During this third year of the recession, local economic
 confidence is waning. This could have profound effects on politics, local
 attitudes, the economy and demographic trends. The sample size is 1,012
 Orange County adult residents.Online data analysis & additional
 documentation in Link below.
description: The Orange County Annual Survey, UCI was co-directed by Mark Baldassare,
 professor and chair of urban and regional planning and, and Cheryl Katz,
 research associate. The random telephone survey included 1,012 Orange
 County adult residents interviewed from August 26 to September 2. We
 follow the methodology used in the 10 previous surveys. 
 
 Interviewing was conducted on weekend days and weekday nights, using a
 computer-generated random sample of telephone numbers. Within a household,
 adult respondents were randomly chosen for interview. Each interview
 included 93 questions and took an average of 20 minutes to complete. The
 interviewing was conducted in English and Spanish, as needed. 
 
 The completion rate for the survey was 64 percent. This rate is consistent
 with earlier Orange County Annual Surveys. Of the telephone numbers
 called, 21 percent resulted in completed interviews and 11 percent were
 refusals. The field work was conducted by Interviewing Services of America
 of Van Nuys, CA. 
 
 For analysis, we statistically weighted the sample to represent the actual
 regional distribution of Orange County residents, as has been done in
 previous surveys. The 1990 U.S. Census population figures by city were
 reviewed for this purpose. 
 
 The sampling error for this survey is +/3 percent at the 95 percent
 confidence level. This means that 95 times out of 100, the results will be
 within 3 percentage points of what they would be if all adults in Orange
 County were interviewed. The sampling error for any subgroup would be
 larger. Sampling error is just one type of error to which surveys are
 subject. Results may also be affected by question wording, survey timing
 and survey design.
DOI: 10.7280/d1bc7v
title: Annual Survey of Orange County 1991

description: This 1991 survey examines ten years of trends in the Orange County Annual
 Survey. In asking questions from the 1982 benchmark survey, the focus is
 on the county's quality of life ratings and local public service
 ratings. The survey also examines changes over time in attitudes towards
 traffic congestion and growth, which have been the county's top two
 policy issues in the past decade. The sample size is 1,002 Orange County
 adult residents.Online data analysis & additional documentation in
 Link below.
description: The Orange County Annual Survey was co-directed by Mark Baldassare, a UC
 Irvine professor of social ecology, and Cheryl Katz, research associate.
 For the survey, 1,002 adult Orange County residents were interviewed by
 telephone Sept. 3 to 20. 
 
 Interviewing was conducted on weekend days and weekday nights, using a
 computer-generated random sample of telephone numbers. The field work was
 conducted at the Center for Survey Research at UCI. Of the telephone
 numbers called, 21 percent resulted in completed interviews and 14 percent
 were refusals. The completion rate for the survey was 60 percent,
 consistent with earlier Orange County Annual Surveys. 
 
 Within a household, respondents were chosen for interview using the
 Troldahl-Carter method. This method randomly selects a household member
 from a grid that includes information on the number of adult household
 members and the number of adult men in the household. Each interview
 included 93 questions and took an average of 20 minutes to complete. The
 interview began with questions about housing, consumer confidence, and
 general perceptions about Orange County. These were followed by questions
 on transportation, the quality of life, public service ratings, the
 environment, and air quality proposals. Later in the interview, we turned
 to the issues of health care and charity. The conclusion of the survey was
 devoted to questions about work, commuting, demographics, and politics. 
 
 For analysis, we statistically weighted the sample to represent the actual
 regional distribution of Orange County residents, as in previous surveys.
 The 1990 U.S. Census population figures by city were reviewed for this
 purpose. 
 
 The sampling error for this survey is +/-3 percent at the 95 percent
 confidence level. This means that 95 times out of 100, the results will be
 within 3 percentage points of what they would be if all adults in Orange
 County were interviewed. The sampling error for any subgroup would be
 larger. Sampling error is just one type of error to which surveys are
 subject. Results may also be affected by question wording, survey timing
 and survey design.
DOI: 10.5061/dryad.qg04542
title: Data from: Apolipoprotein M-bound sphingosine-1-phosphate regulates blood-brain barrier paracellular permeability and transcytosis

description: The blood-brain barrier (BBB) is formed by the endothelial cells lining
 cerebral microvessels. Here, we report that the BBB permeability is
 modified by apolipoprotein M (apoM)-bound sphingosine 1–phosphate (S1P).
 We used two-photon microscopy to monitor changes in BBB permeability in
 apoM-deficient mice (apoM-/-), showing significant increases in
 paracellular BBB permeability to small molecules without structural
 changes in junctional complexes between endothelial cells. Lack of
 apoM-bound S1P increased vesicle-mediated transfer of albumin across
 endothelium of brain pial and penetrating arterioles, whereas transcytosis
 in capillaries and venules remained unchanged. S1PR1 agonist SEW2871
 rapidly normalized BBB permeability along both the paracellular and
 transcellular routes in apoM-/- mice. Thus, apoM-bound S1P maintains low
 paracellular BBB permeability for small molecules in all cerebral
 microvessels and low levels of adsorptive transcytosis in penetrating
 arterioles. Modulation of apoM/S1P-dependent signaling may be a novel
 strategy for the protection of brain endothelial cells to preserve the BBB
 function.
description: 17-06-2019-RA-eLife-49405_ArchiveData repository archive for the manuscript "Apolipoprotein M-bound sphingosine-1-phosphate regulates blood-brain barrier paracellular permeability and transcytosis" by Mathiesen-Janiurek et al. (eLife submission, 17-06-2019-RA-eLife-49405). Data format xls (MS Excel) and pzd/pzfx (Graphpad Prism).
DOI: 10.5061/dryad.rg0134r
title: An explicit test of Pleistocene survival in peripheral versus nunatak refugia in two high mountain plant species

description: Pleistocene climate fluctuations had profound influence on the
 biogeographic history of many biota. As large areas in higher latitudes
 and high mountain ranges were covered by glaciers, biota were forced
 either to peripheral refugia (and possibly beyond to lowland refugia) or
 to interior refugia (nunataks), but nunatak survival remains controversial
 as it solely relies on correlative genetic evidence. Here, we test the
 nunatak hypothesis using two high alpine plant species of contrasting
 pollination modes (insect-pollinated Pedicularis aspleniifolia and
 wind-pollinated Carex fuliginosa) in the European Alps, a geographic model
 system to study Pleistocene biogeography. Employing the iDDC (integrative
 distributional, demographic and coalescent) approach, which couples
 species distribution modelling, spatial and temporal demographic
 simulation and Approximate Bayesian Computation, we explicitly test three
 hypotheses of glacial survival: (1) peripheral survival only, (2) nunatak
 survival only, and (3) nunatak plus peripheral survival. In P.
 aspleniifolia the nunatak plus peripheral survival hypothesis was
 supported by Bayes Factors (BF &gt; 100), whereas in C. fuliginosa the
 peripheral survival only hypothesis, though best supported, could not be
 unambiguously distinguished from the nunatak plus peripheral survival
 hypothesis (BF = 5.58). These results are consistent with current habitat
 preferences (P. aspleniifolia extends to higher elevations) and the
 potential for genetic swamping, i.e., replacement of local genotypes via
 hybridization with immigrating genotypes (expected to be higher in the
 wind-pollinated C. fuliginosa). Although the persistence of plants on
 nunataks during glacial periods has been debated and studied over decades,
 this is one of the first studies to explicitly test the hypothesis instead
 of solely using correlative evidence.
description: C_fuliginosa_empirical_dataEmpirical SNP data for Carex fuliginosa in VCF format. The README file contains collection information of each individual.C_fuliginosa.vcfP_aspleniifolia_empirical_dataEmpirical SNP data for Pedicularis aspleniifolia in VCF format. The README file contains collection information of each individual.P_aspleniifolia.vcf
DOI: 10.5517/ccdc.csd.cc2ph1hr
title: CCDC 2487114: Experimental Crystal Structure Determination

description: Related Article: zelong lzl|2025|CSD Communication|||
description: Related Article: Ze-Long Liang, Yong-Wei Wang, Xin-Min Ai, Jia-Can Lv, Ying-Ying Yu, Hong-Xia Shao, Hang Xu, Bin Zhao|2025|Dalton Trans.|54|17888|doi:10.1039/D5DT02273H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ph5cr
title: CCDC 2487234: Experimental Crystal Structure Determination

description: Related Article: Masato Ikeda|2026|CSD Communication|||
description: Related Article: Fumiko Nakagawa,  Bioru Okumura,  Sayuri L. Higashi,  Yushi Shibata,  Shintaro Sugiura,  Shin-ichiro Kawano,  Hiroshi Katagiri,  Masato Ikeda|2026|ChemSystemsChem|8|e00079|doi:10.1002/syst.202500079
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.