cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5255/ukda-sn-7052-1
title: Testing for Asymmetric Information in Private Health Insurance, 1996-2008

description: This project developed a test for asymmetric information in the UK private health insurance (PHI) market. In contrast to earlier research that considered either a purely private system or one where private insurance is complementary to public insurance, PHI is substitutive of the public system in the UK. Using a theoretical model of competition among insurers incorporating this characteristic, the project linked the type of selection (adverse or propitious) with the existence of risk-related information asymmetries. Using the &lt;i&gt;British Household Panel Survey&lt;/i&gt; (BHPS) (held at the UK Data Archive under SN 5151), evidence was found that adverse selection is present in the PHI market, which led to the conclusion that such information asymmetries exist.&lt;br&gt; &lt;br&gt; Further information may be found in the journal article that uses these data: &lt;br&gt; Olivella, P. and Vera-Hernandez, M. (2012) 'Testing for asymmetric information in private health insurance', &lt;i&gt;Economic Journal&lt;/i&gt;, retrieved September 3, 2012 from &lt;a href="http://onlinelibrary.wiley.com/doi/10.1111/j.1468-0297.2012.02520.x/full" title="'Testing for asymmetric information in private health insurance"&gt;http://onlinelibrary.wiley.com/doi/10.1111/j.1468-0297.2012.02520.x/full&lt;/a&gt; (may require subscription).&lt;br&gt; &lt;br&gt;
DOI: 10.5255/ukda-sn-7054-1
title: Development of Sustainable, Multi-Functional Landscapes in Rural Areas: a Case Study of a Norfolk Broads River Valley, 2010
title: Countryside Recreation Survey

description: &lt;p&gt;The study is part of the Rural Economy and Land Use (RELU) programme.&lt;br&gt; &lt;br&gt;This work examined recreation in an area of lowland rural landscape in Norfolk, England: the catchment of the River Ant, part of the Norfolk Broads. It used a questionnaire survey (both online and in-person) to gather information on the location preferences of those undertaking recreation in the area, including assessment of the importance of various landscape factors in location choice. Ordnance Survey mapping and Google Maps were used to collect spatial responses from participants at a level of precision not obtainable from postcodes and named locations. Spatial responses include point locations, routes, and areas of interest. (The UK Data Archive study includes both questionnaire data and Geographic Information Systems (GIS) map data.)&lt;br&gt; &lt;br&gt;Although there is considerable interest at present in defining and quantifying the benefits humans derive from the environment, this knowledge is more advanced for some types of benefits than others. Benefits of a personal and subjective nature, such as cultural and aesthetic enjoyment of the landscape, are generally less well understood and therefore less well accounted for. In the UK, enjoyment of the landscape often takes place in countryside areas, particularly on a casual basis such as a short walk, and while previous work has attempted to capture this type of benefit it has often been on the basis of simple factors such as types of land cover or the amount or density of footpaths. Better understanding of which aspects of the environment or landscape contribute most to recreational enjoyment will allow these aspects to be protected and enhanced in future policy decisions.&lt;br&gt; &lt;br&gt;Further information for this study may be found through the &lt;a href="https://www.researchcatalogue.esrc.ac.uk/grants/RES-229-27-0006/read" target="_blank"&gt;ESRC Research Catalogue webpage: The development of sustainable, multi-functional landscapes in rural areas: a case study of a Norfolk Broads river valley.&lt;/a&gt;&lt;a href="http://relu.data-archive.ac.uk/explore-data/search-browse/Project/?ID=RES-229-27-0006" title="RELU Knowledge Portal: Norfolk Broads Futures"&gt;&lt;/a&gt;&lt;/p&gt;
DOI: 10.5255/ukda-sn-7058-1
title: Young Life and Times Survey, 2011
title: Young Life and Times Survey, 1998-
title: YLT

description: &lt;p&gt;The &lt;em&gt;Young Life and Times Survey&lt;/em&gt; (YLT) originally began as a companion survey to the &lt;a href="https://beta.ukdataservice.ac.uk/datacatalogue/series/series?id=2000040"&gt;Northern Ireland Life and Times Survey&lt;/a&gt; (NILT) series. It surveyed young people aged 12-17 living in the households of adults interviewed for NILT, and YLT ran alongside it from 1998-2000. Following an evaluation in 2001, the YLT series recommenced in 2003 (see SN 4826) using a completely different methodology and independent of the adult NILT. This new YLT survey uses Child Benefit records as a sampling frame.&lt;/p&gt;&lt;p&gt;The aims of the YLT series are to:&lt;/p&gt;&lt;ul&gt;
&lt;li&gt;monitor public attitudes towards social policy and political issues in Northern Ireland;&lt;/li&gt;
&lt;li&gt;provide a time series on attitudes to key social policy areas;&lt;/li&gt;
&lt;li&gt;facilitate academic social policy analysis; provide a freely available resource on public attitudes for the wider community of users in Northern Ireland;&lt;/li&gt;
&lt;li&gt;give a voice to young people.&lt;/li&gt;
&lt;/ul&gt;&lt;p&gt;


&lt;/p&gt;&lt;p&gt;An open access time-series teaching dataset has been created from the 2003-2012 YLTs - see SN 7548.&lt;/p&gt;&lt;p&gt;The &lt;a href="https://beta.ukdataservice.ac.uk/datacatalogue/series/series?id=2000040#!/access-data"&gt;Kids’ Life and Times&lt;/a&gt; (KLT) survey of P7 children (10-11 year olds) is also part of the same suite of surveys as YLT and NILT.&lt;/p&gt;&lt;p&gt;Further information about the YLT, including publications, may be found on the Access Research Knowledge (ARK) &lt;a title="Young Life and Times Survey" href="http://www.ark.ac.uk/nilt/ylt/index.html"&gt;YLT&lt;/a&gt; webpages.&lt;/p&gt; Users should note that the accompanying NILT survey did not run in 2011, as full funding was unable to be secured for it. However, funding has been confirmed to run NILT in 2012 and 2013.
DOI: 10.5255/ukda-sn-7063-1
title: Witness and Victim Experience Survey, 2007/8-2009/10
title: WAVES

description: The &lt;i&gt;Witness and Victim Experience Survey&lt;/i&gt; (WAVES) was designed to provide data at both a national (England and Wales) level and Local Criminal Justice Board (LCJB) level about victims' and witnesses' experiences of the Criminal Justice System (CJS), the services they receive, and their satisfaction with different aspects of the system, in cases that resulted in a defendant being charged. &lt;br&gt; &lt;br&gt; Victims and prosecution witnesses (aged 18 and over) in England and Wales were asked about different aspects of their experience with the CJS – from their first contact with the police to their experience at court. Questions covered giving a statement to the police, information on case progression, experience at court and of giving evidence where relevant, and perceptions of and satisfaction with different aspects of the CJS. Interviews were conducted via telephone by trained interviewers. &lt;br&gt; &lt;br&gt;
DOI: 10.15468/dl.sazsqq
title: Occurrence Download

description: A dataset containing 590 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tachymenis peruviana"
 ]
}

 The dataset includes 590 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031229-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5255/ukda-sn-7082-1
title: Estimating the Prevalence of Autism Spectrum Conditions in Adults: Extending the 2007 Adult Psychiatric Morbidity Survey

description: The main aim of the survey was to extend the 2007 &lt;i&gt;Adult Psychiatric Morbidity Survey&lt;/i&gt; (APMS) prevalence estimate of autism among adults aged 18 years or over, to include adults with learning disabilities aged 18 years and over living in private households or communal care establishments. Fieldwork was carried out in Leicestershire, Lambeth and Sheffield between August 2010 and April 2011. &lt;br&gt; &lt;br&gt; The specific objectives of the study were:&lt;ul&gt;&lt;li&gt;to identify a representative group of adults with learning disabilities who were either: (a) living in private households but not able to participate in the APMS 2007 due to learning disability; or (b) living in communal care establishments and thus not covered in the APMS 2007 sample;&lt;/li&gt;&lt;li&gt;to interview the adults with learning disabilities living in private households who would not have been able to take part in the APMS 2007 with two clinical assessments for autism (depending on ability level) - module 1 or module 4 of the Autism Diagnostic Interview Schedule (ADOS);&lt;/li&gt;&lt;li&gt;to interview carers of a sub-sample of adults with learning disabilities with two validated clinical assessments to calibrate module 1 of the ADOS;&lt;/li&gt;&lt;li&gt;to combine the acquired prevalence rates of autism in adults with learning disabilities who live in private households and who live in communal care establishments with the prevalence of autism in adults without learning disabilities living in private households (from the APMS 2007) to derive an overall prevalence estimate for autism among adults;&lt;/li&gt;&lt;li&gt;to perform sensitivity analyses of the combined prevalence estimate to take into account adults without learning disability who live in communal care establishments.;&lt;/li&gt;&lt;/ul&gt;The main APMS 2007 study is held at the UK Data Archive under SN 6379.&lt;br&gt; &lt;br&gt;
DOI: 10.5255/ukda-sn-7084-5
title: Metropolitan Police Service User Satisfaction Survey, 2005/06-2017/18
title: MPS USS

description: &lt;p&gt;&lt;span style="font-weight: bold;"&gt;January 2019: These data have been temporarily withdrawn while the depositor conducts a review of governance around data sharing and publication.&lt;/span&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;The &lt;i&gt;Metropolitan Police Service User Satisfaction Survey&lt;/i&gt; (MPS USS) (formerly known as the Crime Victim Survey) is a corporate survey tool used to measure crime victims' satisfaction with a specific instance of their contact with police. The survey covers the process from initial contact with police, through to police action and follow-up, whilst considering police treatment throughout the process. These elements feed into the main measure of 'Overall Satisfaction', and the results feed into the 'Citizen Focus' domain of Home Office measures. The Overall Satisfaction measure is further explored in order to monitor difference in satisfaction between white and black and minority ethnic (BME) groups, as well as victims of racist incidents. The results are gathered through telephone interviews with c. 18,000 victims a year, by an external market research company on behalf of the MPS. Victims are interviewed 6-12 weeks after they have reported the crime, and interviewing takes place throughout the year. The file currently includes data from 32 quarters between 2005/6 and 2017/18, though the documentation largely covers 2011 onwards. &lt;br&gt; &lt;br&gt; The sample includes victims of burglary, violent crime, vehicle crime, racially-motivated and homophobic crime, between the ages of 16 to 85 years. It excludes victims of domestic violence, serious assaults and sexual offences. Road Traffic Collision victims have not been surveyed since the fiscal year 2012-13. The USS data is reported quarterly within the MPS, and is also provided to the Home Office and Her Majesty's Inspectorate of Constabulary (HMIC).&lt;br&gt; &lt;br&gt; Another MPS survey series, the &lt;i&gt;Metropolitan Police Public Attitudes Surveys&lt;/i&gt;, is held at the UK Data Archive under SN 7048.&lt;br&gt; &lt;br&gt; &lt;b&gt;Latest edition information:&lt;/b&gt;&lt;br&gt; For the fifth edition (June 2018) data for Quarters 49-52 were added, extending the study coverage to 2017/18.&lt;br&gt; &lt;br&gt; &lt;/p&gt;
DOI: 10.5255/ukda-sn-7089-1
title: Interviewer Survey, 2008
title: NatCen Interviewer Survey

description: This survey was carried out by the National Centre for Social Research (now NatCen Social Research) and the University of Essex with funding from the Economic and Social Research Council. The interviewer survey was part of an effort to improve understanding of the survey response process, and in particular the role that face-to-face interviewers play in achieving acceptable response rates.&lt;br&gt; &lt;br&gt; The sample consisted of 1,478 interviewers who had worked on Computer-Assisted Personal Interviewing (CAPI) projects between January 2006 and March 2008. Nearly a quarter of selected interviewers were known to have stopped working for NatCen. The overall response rate was 81%, with 1,198 valid cases. The response rate was higher among those interviewers still working at NatCen compared to those known to have stopped (85% and 69% respectively).&lt;br&gt; &lt;br&gt; The forthcoming survey was announced in the NatCen Interviewer Newsletters of February, March and April 2008. The 12-page questionnaire was sent via post on 28 April 2008 with a covering letter and a £5 gift voucher. Current NatCen interviewers were reminded to return the completed questionnaire via three electronic messages sent to them when they logged on to the host machine to either pick up addresses or to transmit survey data back to head office. Ex-NatCen interviewers were unable to receive these electronic messages and were therefore sent a postcard reminder on 7 May 2008.&lt;br&gt; &lt;br&gt; The topics covered in the survey were overall interviewing experience and job expectations, as well as job support and satisfaction, particular to working for NatCen. The survey also asked about availability to conduct interviews during a typical week and persistence when encountering reluctant respondents. The bulk of the survey assessed personality traits of the interviewers, focusing on the 'Big 5' but incorporating related personality assessments. No demographic items were included since these could be obtained by matching to personnel records.&lt;br&gt; &lt;br&gt; Further information may be found on the ESRC &lt;a href="http://www.esrc.ac.uk/my-esrc/grants/RES-175-25-0005/read" title="Understanding non-response and reducing non-response bias"&gt;Understanding non-response and reducing non-response bias&lt;/a&gt; award webpage.&lt;br&gt; &lt;br&gt;
DOI: 10.25549/usctheses-ouc11399n2up
title: FILIPINO AMERICAN CULTURE AND FAMILY CAREGIVING: FILIAL SUPPORT AND ELDERLY HEALTHCARE UTILIZATION AMIDST A PANDEMIC
DOI: 10.25549/usctheses-ouc11399n2ut
title: Understanding Transcription Factorâ€“DNA Binding: From Sequence and Local Shape to DNA Conformation and Flexibility
DOI: 10.15156/bio/sh0191255.10fu
title: SH0191255.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.7282/t3cz3651
title: Innovation in Academic Libraries - Interview B

description: Through a series of structured interviews, university librarians at six institutions provided their perspectives on innovation in academic libraries. The literature on leadership styles and organizational change provides insight into the roles of these leaders in the innovation process. Leadership is cited by many researchers as being a critical factor for organizations to innovate. In this study, university librarians’ perspectives reveal a commitment to innovation, some distinctively non-traditional innovations, and a concern for how to encourage risk-taking behavior. The study also seeks further insight into the innovation process by interpreting the interview data within a larger theoretical context. Although leadership and management can foster innovation in a library, researchers have reported other factors that can influence the ability to innovate, including organizational aspects – size and complexity – and environmental factors. Beyond the organizational aspects, the individual and the norms of the profession create a framework with certain boundaries, some of which may impact the ability to innovate.
DOI: 10.15156/bio/sh0191256.10fu
title: SH0191256.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0191257.10fu
title: SH0191257.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.t6b7k9
title: Occurrence Download

description: A dataset containing 20409151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is 2024",
 "Month is December"
 ]
}

 The dataset includes 20409151 records from 728 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001943-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0191258.10fu
title: SH0191258.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0191259.10fu
title: SH0191259.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0191260.10fu
title: SH0191260.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.