cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5255/ukda-sn-6756-1
title: Smart Enforcement in Environmental Legal Systems: A Socio-Legal Analysis of Regulatory Satellite Monitoring in Australia, 2009-2010

description: The overall objective of this research project was to explore and demonstrate whether the potential of the new technological capabilities of satellites can actually provide a rigorous, legally-reliable, and cost effective tool in inspection and compliance regimes under contemporary environmental legislation. The main aims were:&lt;ul&gt;&lt;li&gt;to consider lessons from Australian experiences as to whether new high resolution satellite imagery can now be used as an environmental monitoring and compliance tool&lt;/li&gt;&lt;li&gt;to assess the operational effectiveness of existing Australian state satellite monitoring programmes (legal compliance, political, economic, technical and spatial, capabilities of regulators) and any constraints affecting its use as a compliance tool or lessons learnt in the Australian context&lt;/li&gt;&lt;li&gt;to investigate the awareness and attitudes of those regulated this way and evaluate how knowledge of being monitored by satellites is likely to influence compliance behaviour of those subject to regulation&lt;/li&gt;&lt;li&gt;to analyse whether satellite monitoring is seen as more or less desirable than conventional forms of inspection, whether it is seen as more confrontational method of regulation, and the impact on relationships and confidence it might have between those subject to regulation, regulatory authorities, policy makers and the community&lt;/li&gt;&lt;li&gt;to derive principles that can inform and advance debate in the UK, EU and amongst a wide international audience as to the merits of using satellites primarily as a compliance tool in the area of environmental legal systems, but also with implications for other legal monitoring as well&lt;/li&gt;&lt;/ul&gt;Surveys of regulated communities in Australia were conducted to examine reactions to being monitored by satellites. Semi-structured interviews were held with government, farming bodies, judges, lawyers and NGOs. The qualitative data are not available for secondary analysis due to consent issues.&lt;br&gt; &lt;br&gt; Further information and publications are available from the &lt;a href="http://www.esrc.ac.uk/my-esrc/grants/RES-062-23-1865/read" title ="Smart Enforcement in Environmental Legal Systems: A Socio-Legal Analysis of Regulatory Satellite Monitoring in Australia"&gt;Smart Enforcement in Environmental Legal Systems: A Socio-Legal Analysis of Regulatory Satellite Monitoring in Australia&lt;/a&gt; ESRC Award web page.&lt;br&gt;
DOI: 10.5255/ukda-sn-6757-1
title: European Values Study: Wave 4, Great Britain, 2009-2010
title: European and World Values Surveys, 1981-
title: EVS

description: &lt;p&gt;The &lt;i&gt;European Values Study&lt;/i&gt; (EVS) and &lt;i&gt;World Values Survey&lt;/i&gt; (WVS) series is designed to enable a cross-national, cross-cultural comparison of values and norms on a wide variety of topics and to monitor changes in values and attitudes across the globe. The WVS is one of the world's most extensive and most widely used social surveys. Since 1981, it has captured the views of almost 400,000 respondents in over 110 countries, covering topics including cultural identity, migration, trust, empathy, tolerance, media consumption, political interest, the environment and more.&lt;br&gt;&lt;/p&gt;&lt;p&gt;These surveys show pervasive changes in what people want out of life and what they believe. To monitor these changes, the EVS/WVS has executed seven waves of surveys to date at various times between 1981 and 2022. Representative national samples of each society's public are interviewed using a standardised questionnaire covering various social, economic, cultural and religious topics. The countries included in these surveys cover the full range from very poor countries to very rich ones, from authoritarian systems to liberal democracies, covering all major cultural zones. &lt;br&gt;
&lt;br&gt;&lt;span style="margin: 0px; padding: 0px;"&gt;Further information about each survey series can be found on the &lt;a href="http://www.europeanvaluesstudy.eu/" target="_blank"&gt;EVS&lt;/a&gt; and &lt;a href="http://www.worldvaluessurvey.org/index_html" target="_blank"&gt;WVS&lt;/a&gt; websites.&lt;/span&gt;&lt;br&gt;
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&lt;/p&gt; The &lt;i&gt;European Values Study: Wave 4, Great Britain, 2009-2010&lt;/i&gt; forms the Great Britain part of Wave 4 of the wider &lt;i&gt;European Values Survey&lt;/i&gt;, the fieldwork for which began in some participating countries during 2008. Many of the questions posed replicate previous surveys, thus enabling analysis of change over time on the key dimensions of the EVS. With the addition of the fourth wave, the EVS is a unique source of trend data for the past three decades. The range of potential research questions is very wide, using either this dataset on its own or in conjunction with previous waves, or looking either at Britain alone or in comparison with other European countries. Further information is available from the &lt;a href ="http://www.esrc.ac.uk/my-esrc/grants/RES-000-22-3690/read" title ="British participation in the European Values Study"&gt;British participation in the European Values Study&lt;/a&gt; ESRC Award web page.&lt;br&gt;
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These data are also included in &lt;i&gt;European Values Study: Wave 4, 2008&lt;/i&gt;, which is available for online analysis and download via &lt;a href="http://zacat.gesis.org/webview/index.jsp" title="ZACAT"&gt;ZACAT&lt;/a&gt;. Please see SN 6539 at the UK Data Archive for details.&lt;br&gt;
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DOI: 10.5255/ukda-sn-6760-1
title: National Child Development Study: Sweeps 1-6, 1958-2000, Self-Reported Measures
title: Derived Measures from the National Child Development Study and 1958 British Birth Cohort: Self-Reported Measures; NCDS

description: &lt;i&gt;National Child Development Study: Sweeps 1-6, 1958-2000, Self-Reported Measures&lt;/i&gt; includes derived variables that were developed as part of a research study examining risk and preventive factors for chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME) and irritable bowel syndrome (IBS) in the &lt;i&gt;National Child Development Study&lt;/i&gt; (NCDS) (available from the UK Data Archive under GN 33004). Data on the outcome measures was assessed in 1999-2000 during Sweep 6 of data collection, at which point the cohort members were aged 42 years. The study examines a number of life course risk markers for CFS/ME and IBS including childhood adversity, childhood illness, physical activity and psychopathology in childhood and adulthood. &lt;br&gt; &lt;br&gt; The data can be linked to the main NCDS data. Users are advised to also consult the main NCDS documentation which is available for individual Sweeps of the NCDS under 33004.&lt;br&gt;
DOI: 10.5255/ukda-sn-6763-1
title: Modelling and Simulation for E-social Science: Individual, Household and Communal Establishment Populations, 2001
title: MoSeS

description: Generation of individual and household level population data for 2001 census output areas in the United Kingdom (UK) has been undertaken by the Modelling and Simulation for e-Social Science (MoSeS) node of the UK National Centre for e-Social Science.&lt;br&gt; &lt;br&gt; The MoSeS project outlined an approach for creating an individual level demographic model, which involved selecting sets of Samples of Census 2001 Anonymised Records (SARs) to represent aggregate Census Area Statistics (CAS) populations for 2001. This initialised population would then be dynamically modelled or simulated over time. &lt;br&gt; &lt;br&gt; The datasets created by integrating SARS and CAS form this study.&lt;br&gt; &lt;br&gt; Further information is available from the &lt;a href ="http://www.esrc.ac.uk/my-esrc/grants/RES-149-25-0034/read" title="Modelling and Simulation for E-Social Sciences"&gt;Modelling and Simulation for E-Social Sciences&lt;/a&gt; ESRC Award webpage and the &lt;a href="http://www.geog.leeds.ac.uk/people/a.turner/projects/MoSeS/" title="Andy Turner's MoSeS project web page"&gt;MoSeS&lt;/a&gt; project webpage.&lt;br&gt; &lt;br&gt; Users should note that the Principal Investigators did not have access to non-anonymised census data and that the assignment of OAs is based on statistical analysis using published data and the SARS only.&lt;br&gt;
DOI: 10.5255/ukda-sn-6764-1
title: Children's Dental Health Survey, 2003
title: Children's Dental Health Survey, 2003-
title: CDH2003

description: The &lt;i&gt;Children’s Dental Health (CDH) Survey&lt;/i&gt; series is a set of national surveys of children’s dental health that have been carried out every 10 years since 1973. Since its inception, the survey has provided important information to underpin the development and monitoring of dental health care for children. &lt;br&gt;
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The 1973 survey established baseline information on the state of the dental health of children in England and Wales. The survey coverage was then extended in 1983 to include Scotland and Northern Ireland. The 2013 survey covers England, Wales and Northern Ireland. (The UK Data Archive currently does not hold the 1973, 1983 and 1993 surveys).&lt;br&gt;
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 The &lt;i&gt;Children’s Dental Health Survey, 2003&lt;/i&gt; is the fourth survey in the series. The purpose of the survey series is to establish the state of the dental health of children in the UK, and to monitor change since earlier surveys.&lt;br&gt;
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Further information is available from the &lt;a class="external" href="http://webarchive.nationalarchives.gov.uk/+/www.dh.gov.uk/en/Publicationsandstatistics/Bulletins/Chiefdentalofficersbulletin/Browsable/DH_4860753" title="National Children's Dental Health Survey 2003"&gt;Department of Health&lt;/a&gt; survey webpage.&lt;br&gt;
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DOI: 10.5255/ukda-sn-6765-1
title: Health Survey for England, 2003-2005: Multilevel Modelling Teaching Dataset
title: HSE

description: The &lt;i&gt;Health Survey for England, 2003-2005: Multilevel Modelling Teaching Dataset&lt;/i&gt; has been prepared as a resource for those interested in learning multilevel modelling techniques. It was first presented as part of a workshop entitled 'Introducing multilevel models and applying them to the Health Survey for England using MLwiN'. The HSE teaching dataset is available in both Stata and MLwIN formats and is accompanied by a practical guide that includes the multilevel modelling practical exercises. A separate document provides information on the teaching dataset and materials.&lt;br&gt; &lt;br&gt; The main dataset is an edited version of the &lt;i&gt;Health Survey for England&lt;/i&gt; (HSE) data from 2003, 2004 and 2005 (the full HSEs are at the UK Data Archive under SNs 5098, 5439 and 5675). Details of the recoding of HSE variables for the teaching dataset and how the aggregate data were produced can be found in the documentation.&lt;br&gt; &lt;br&gt; &lt;b&gt;WARNING – Users should note that this dataset is intended as a learning resource and should not be used for research purposes. In particular the dataset uses adult measures of Body Mass Index (BMI) for children and so the results from the data should not be reported in research contexts.&lt;/b&gt;&lt;br&gt; &lt;br&gt;
DOI: 10.5255/ukda-sn-6766-1
title: European Union Statistics on Income and Living Conditions, 2008
title: European Union Statistics on Income and Living Conditions, 2008-
title: EU-SILC; Community Statistics on Income and Living Conditions, 2008

description: The &lt;i&gt;European Union Statistics on Income and Living Conditions&lt;/i&gt; (EU-SILC) is an instrument aimed at collecting timely and comparable cross-sectional and longitudinal multidimensional microdata on income, poverty and social exclusion. It is the European Union (EU) reference source for comparative statistics on income distribution and social exclusion at European level, particularly in the context of the 'Programme of Community action to encourage cooperation between Member States to combat social exclusion' and for producing structural indicators on social cohesion for the annual spring report to the European Council. &lt;br&gt;
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The EU-SILC instrument aims to provide two types of data: cross-sectional data pertaining to a given time or a certain time period with variables on income, poverty, social exclusion and other living conditions, and longitudinal data pertaining to individual-level changes over time, observed periodically over, typically, a four years period. Further information may be found on the &lt;a href="http://ec.europa.eu/eurostat/statistics-explained/index.php/Glossary:EU_statistics_on_income_and_living_conditions_(EU-SILC) " title="EU-SILC"&gt;EU-SILC&lt;/a&gt; webpage.&lt;br&gt;
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Users should note that only the cross-sectional data are currently available from the UK Data Archive, and these data only cover UK. The Great Britain component of the EU-SILC dataset was collected by the Office for National Statistics (ONS) as part of the &lt;i&gt;General Lifestyle Survey&lt;/i&gt; (GLF) (held at the Archive under Special Licence access conditions - see GN 33403). Following the closure of the GLF in 2012 the cross-sectional data have been collected via the &lt;i&gt;Family Resources Survey&lt;/i&gt; (FRS) (held at the Archive under GN 33283). The FRS also provides the first wave of the EU-SILC longitudinal element, also carried out by ONS. The Northern Ireland component is collected by the Northern Ireland Statistics and Research Agency (NISRA) as part of the Living Conditions Survey (LCS) (not currently held at the Archive). The EU-SILC dataset has been produced in accordance with EU regulations under guidance from Eurostat. In addition, every year a European Commission regulation describing the list of secondary target variables (annual modules) is published (see Main Topics section for details).&lt;br&gt;
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The accompanying documentation for EU-SILC comprises: a Guidelines document that describes the survey, the variables including the module and recommendations given to the EU member states for data collection; and a document detailing the differences between the data collected and that held in Eurostat's User Database (UDB) (as described in the guidelines) for all member states, including the already established issues or particularities for the UK.&lt;/br&gt;&lt;br&gt;
DOI: 10.5255/ukda-sn-6767-1
title: European Union Statistics on Income and Living Conditions, 2009
title: European Union Statistics on Income and Living Conditions, 2008-
title: EU-SILC; Community Statistics on Income and Living Conditions, 2009

description: The &lt;i&gt;European Union Statistics on Income and Living Conditions&lt;/i&gt; (EU-SILC) is an instrument aimed at collecting timely and comparable cross-sectional and longitudinal multidimensional microdata on income, poverty and social exclusion. It is the European Union (EU) reference source for comparative statistics on income distribution and social exclusion at European level, particularly in the context of the 'Programme of Community action to encourage cooperation between Member States to combat social exclusion' and for producing structural indicators on social cohesion for the annual spring report to the European Council. &lt;br&gt;
&lt;br&gt;
The EU-SILC instrument aims to provide two types of data: cross-sectional data pertaining to a given time or a certain time period with variables on income, poverty, social exclusion and other living conditions, and longitudinal data pertaining to individual-level changes over time, observed periodically over, typically, a four years period. Further information may be found on the &lt;a href="http://ec.europa.eu/eurostat/statistics-explained/index.php/Glossary:EU_statistics_on_income_and_living_conditions_(EU-SILC) " title="EU-SILC"&gt;EU-SILC&lt;/a&gt; webpage.&lt;br&gt;
&lt;br&gt;
Users should note that only the cross-sectional data are currently available from the UK Data Archive, and these data only cover UK. The Great Britain component of the EU-SILC dataset was collected by the Office for National Statistics (ONS) as part of the &lt;i&gt;General Lifestyle Survey&lt;/i&gt; (GLF) (held at the Archive under Special Licence access conditions - see GN 33403). Following the closure of the GLF in 2012 the cross-sectional data have been collected via the &lt;i&gt;Family Resources Survey&lt;/i&gt; (FRS) (held at the Archive under GN 33283). The FRS also provides the first wave of the EU-SILC longitudinal element, also carried out by ONS. The Northern Ireland component is collected by the Northern Ireland Statistics and Research Agency (NISRA) as part of the Living Conditions Survey (LCS) (not currently held at the Archive). The EU-SILC dataset has been produced in accordance with EU regulations under guidance from Eurostat. In addition, every year a European Commission regulation describing the list of secondary target variables (annual modules) is published (see Main Topics section for details).&lt;br&gt;
&lt;br&gt;
The accompanying documentation for EU-SILC comprises: a Guidelines document that describes the survey, the variables including the module and recommendations given to the EU member states for data collection; and a document detailing the differences between the data collected and that held in Eurostat's User Database (UDB) (as described in the guidelines) for all member states, including the already established issues or particularities for the UK.&lt;/br&gt;&lt;br&gt;
DOI: 10.5255/ukda-sn-6768-1
title: Survey of Carers in Households, 2009-2010

description: The &lt;i&gt;Survey of Carers in Households, 2009-2010&lt;/i&gt; was commissioned by the Department of Health as part of the Government's Carers' Strategy programme. Funded by the Department of Health and the Department for Work and Pensions, the Health and Social Care Information Centre (NHS IC) undertook responsibility for the survey. GfK NOP was commissioned to carry out face-to-face interviews over 11 months of fieldwork in a representative sample of homes in England.&lt;br&gt;
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Carers were identified via a short screening 'prevalence' questionnaire at addresses which were randomly selected from the Postcode Address File (PAF). Carers were defined as those people who identified themselves as having extra responsibilities of looking after someone who has a long-term physical or mental ill health or disability, or problems related to old age. People providing care in a professional capacity were excluded. &lt;br&gt;
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The main questionnaire then identified carers who also fitted the General Household Survey (GHS) definition of 'Carers', which excludes those caring as volunteers for a charity or organisation, those caring for someone in an institution, those providing financial support only and those caring for someone with a temporary illness or disability, and asked a further range of questions.&lt;br&gt;
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Further information may be found on the NHS Digital &lt;a href="http://www.ic.nhs.uk/statistics-and-data-collections/social-care/adult-social-care-information/survey-of-carers-in-households--2009-10-england" title="Survey of Carers in Households - 2009/10 England"&gt;Survey of Carers in Households - 2009/10 England&lt;/a&gt; webpage.&lt;br&gt;
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DOI: 10.5255/ukda-sn-6769-1
title: Labour Force Survey Annual Eurostat Dataset, 2009
title: Labour Force Survey Annual Eurostat Datasets, 1999-
title: EU LFS

description: The &lt;i&gt;Labour Force Survey Annual Eurostat Datasets&lt;/i&gt; form the UK component of the &lt;i&gt;European Union Labour Force Survey&lt;/i&gt; (EU LFS), and consist of a subset of core variables from the UK Quarterly Labour Force Survey (held at the UK Data Archive under GN 33246), alongside primary and secondary derived variables computed by Eurostat from the core variables supplied. The data comprise seasonal or calendar quarters, depending on the date, and are not directly comparable with the UK QLFS quarters. Although all datasets in this series are called 'annual', from 1999-2008 they only include data for quarter two of the survey year, as the questions were only asked in this quarter. From 2009, the questions were asked all year. Quarterly EU LFS datasets from 1999 onwards are also available (see under GN 33366) and 'ad hoc' modules (run each year to supplement the information from the core EU LFS questionnaire) are available from 2002 onwards (see under GN 33400). &lt;br&gt;
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Users should note that the LFS Eurostat datasets available from the UK Data Archive comprise UK data only, and no data from other EU countries are included here. Further information about the EU LFS can be found on the Eurostat &lt;a href="http://ec.europa.eu/eurostat/statistics-explained/index.php/EU_labour_force_survey" title="EU Labour Force Survey"&gt;EU Labour Force Survey&lt;/a&gt; webpage.&lt;br&gt;
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The UK Labour Force Survey (LFS) is a unique source of articulated information using international definitions of employment and unemployment and economic inactivity, together with a wide range of related topics such as occupation, training, hours of work and personal characteristics of household members aged 16 years and over. The first LFS was conducted in 1973 and continues to be one of the reasons for carrying out the survey. Eurostat co-ordinates information from labour force surveys in the European Union (EU) member states in order to assist the EU in such matters as the allocation of the Social Fund. Between 1984 and 1991 the survey was carried out annually, and moved to a quarterly cycle (the QLFS) from May 1992. Further information may be found in the main LFS documentation (see link below).&lt;br&gt;
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&lt;b&gt;LFS Documentation (main LFS)&lt;/b&gt;&lt;br&gt;
Besides the EU LFS documentation (see below), documentation is also available to accompany the main UK LFS datasets available from the Archive. This largely consists of the latest version of each document alongside the appropriate questionnaire for the year concerned. However, LFS documentation volumes are updated periodically by ONS, so users are advised to check the ONS &lt;a href="http://www.ons.gov.uk/ons/guide-method/method-quality/specific/labour-market/labour-market-statistics/index.html" title="LFS User Guidance"&gt;LFS User Guidance&lt;/a&gt; pages before commencing analysis.&lt;br&gt;
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