cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5255/ukda-sn-6728-1
title: Management Options for Biodiverse Farming, 2006-2009
title: Evaluating the Options for Combining Economically, Socially and Ecologically Sustainable Agriculture

description: &lt;p&gt;This is a mixed method data collection. The study is part of the Rural Economy and Land Use (RELU) programme.&lt;br&gt; &lt;br&gt;In the context of changing external and internal pressures on UK agriculture, particularly those associated with the ongoing reform of the EU Common Agricultural Policy, it is imperative to determine whether all of the various dimensions of sustainability - including the relevant economic and environmental objectives as well as social and cultural values - can be integrated successfully at the farm and landscape levels. This project explored changes in agricultural land use and the implications for farmland biodiversity, using a combination of socio-economic and ecological modelling approaches. These models can be used to answer a range of policy questions such as: What would be the best policy measures to achieve the targets on bird populations set by the government? What determines which new farming methods and agri-environment schemes will be adopted by farmers? What will be the social and economic consequences of biodiversity conservation? A consistent theme in all components of this research project was the understanding of unit behaviour (i.e. farmers, weeds or birds) and integrating these within one framework.&lt;br&gt; &lt;br&gt;Economic models were used to determine which actions are preferable to lowland arable farmers based on financial optimality. Through in-depth interviews with farmers, it was determined why they deviate from these model predictions, and why they vary in the way they manage farms. The method developed used a Multi-Attribute Utility Theory (MAUT) framework. Data was collected using supporting software (Logical Decisions) which enabled the objective preferences (data points that summarise utility curves) and importances (SMART/WING weights on each objective) to be used as direct input into a multi-objective land-use model. In addition, relevant background information for each farm and farmer was collected.&lt;br&gt; &lt;br&gt;The weed ecology data from this study are available at the &lt;a href="https://gateway.ceh.ac.uk"&gt;&lt;/a&gt;Environmental Information Data Centre of the Centre for Ecology and Hydrology.&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-227-25-0025/read" target="_blank"&gt;ESRC Research Catalogue webpage: Evaluating the Options for Combining Economically, Socially and Ecologically Sustainable Agriculture.&lt;/a&gt;&lt;a href="http://relu.data-archive.ac.uk/explore-data/search-browse/project/?ID=RES-227-25-0025"&gt;&lt;/a&gt;&lt;/p&gt;
DOI: 10.15468/dl.hc9frn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Capsicum annuum",
 "Country is Tonga",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031219-250920141307145/datasets/export for details.
DOI: 10.5255/ukda-sn-6729-20
title: UK Manufacturers' Sales by Product Survey, 1997-2023: Secure Access
title: ProdCom; Products of the European Community

description: &lt;p&gt;&lt;span style="font-style: italic;"&gt;UK Manufacturers’ Sales by Product Survey&lt;/span&gt; (ProdCom) is a European Union (EU) wide survey of production mainly for the manufacturing industries collected under Council Regulation (EEC) No 3924/91. PRODCOM is classified to the Commerce Energy and Industry National Statistics Theme Group. Manufacturing (excluding recycling) and mineral extraction are sub-divided into a list of around 3,800 products. Companies selected for ProdCom supply value sales data (as a proxy for production) for the products they manufacture, as well as non-manufacturing income. In addition, companies in approximately three quarters of the covered industries supply volume sales data.&lt;br&gt;&lt;br&gt;&lt;span style="font-style: italic;"&gt;Linking to other business studies&lt;br&gt;&lt;/span&gt;These data contain Inter-Departmental Business Register reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. You may consider applying for other business data to assist your research.&lt;br&gt;&lt;br&gt;&lt;span style="font-style: italic;"&gt;Latest Edition Information&lt;br&gt;&lt;/span&gt;For the sixteenth edition (May 2025), annual data for 2011 and 2018-2022 have been updated and a new data file for 2023 has been added to the study. A new Variable Catalogue for the same time period has been added, along with a Question Library file for 2023.&lt;/p&gt;
DOI: 10.5255/ukda-sn-6730-1
title: Wiltshire Census Returns, 1841

description: This study contains a complete transcript of the Wiltshire returns of the census of 1841.
DOI: 10.5255/ukda-sn-6731-2
title: Continuous Household Survey, 2009-2010
title: Continuous Household Survey, 1983-
title: CHS

description: &lt;p&gt;The &lt;i&gt;Continuous Household Survey&lt;/i&gt; (CHS) is one of the largest continuous surveys carried out in Northern Ireland. The survey is designed, conducted and analysed by the Central Survey Unit of the Northern Ireland Statistics and Research Agency (NISRA). It is based on a sample of the general population resident in private households and has been running since 1983. The Survey is designed to provide a regular source of information on a wide range of social and economic issues relevant to Northern Ireland. The CHS is an important source of information in Northern Ireland and is used by many Government departments and Agencies. Regular clients include the Departments of Enterprise, Trade and Investment, Culture Arts and Leisure, Regional Developments, Environment, Education, Employment and Learning and NISRA. &lt;br&gt;
&lt;/p&gt;&lt;p&gt;Further information about the series, including methodology, may be found on the NISRA Central Survey Unit (CSU) &lt;a href="https://www.nisra.gov.uk/statistics/central-survey-unit/continuous-household-survey" title="CHS"&gt;Continuous Household Survey&lt;/a&gt; web pages.&lt;/p&gt; For the third edition (October 2015), the variables Gross (Gross Household Income from all sources) and Work (Banded Gross Earnings) have been replaced in file Rec11. Previously, responses to these variables were grouped into five income bands. They are now grouped into 38 bands, making them consistent with the 2005-06 and 2007-08 files. &lt;br&gt;
&lt;br&gt;
DOI: 10.5255/ukda-sn-6734-1
title: Northern Ireland Multiple Deprivation Measure, 2001
title: Northern Ireland Multiple Deprivation Measures, 2001-

description: The &lt;i&gt;Northern Ireland Multiple Deprivation Measures 2001, 2005 and 2010 &lt;/i&gt; show the spatial distribution of deprivation across Northern Ireland at the small area level. Information is provided for a number of different types or ‘domains’ of deprivation; income, employment, health, education, proximity to services, crime, living environment, and an overall measure encompassing all of the deprivation domains. Small areas are measured relative to each other from rank 1 (most deprived) to least deprived . A number of summary measures at higher geographies and population estimates for the small area geographies are also provided. &lt;br&gt;
&lt;br&gt;
The Deprivation Measures follow the domain methodology employed by Professor Mike Noble of the Social Disadvantage and Research Centre, University of Oxford. The domain methodology underpins the construction of the English, Welsh and Scottish deprivation measures.&lt;br&gt;
&lt;br&gt;
Further information is available from the &lt;a href="http://www.nisra.gov.uk/deprivation/nimdm_2010.htm" title ="NISRA Multiple Deprivation Measures"&gt;Northern Ireland Statistics and Research Agency&lt;/a&gt; (NISRA) Multiple Deprivation Measures web pages.&lt;br&gt;
DOI: 10.5255/ukda-sn-6735-1
title: Northern Ireland Multiple Deprivation Measure, 2005
title: Northern Ireland Multiple Deprivation Measures, 2001-

description: The &lt;i&gt;Northern Ireland Multiple Deprivation Measures 2001, 2005 and 2010 &lt;/i&gt; show the spatial distribution of deprivation across Northern Ireland at the small area level. Information is provided for a number of different types or ‘domains’ of deprivation; income, employment, health, education, proximity to services, crime, living environment, and an overall measure encompassing all of the deprivation domains. Small areas are measured relative to each other from rank 1 (most deprived) to least deprived . A number of summary measures at higher geographies and population estimates for the small area geographies are also provided. &lt;br&gt;
&lt;br&gt;
The Deprivation Measures follow the domain methodology employed by Professor Mike Noble of the Social Disadvantage and Research Centre, University of Oxford. The domain methodology underpins the construction of the English, Welsh and Scottish deprivation measures.&lt;br&gt;
&lt;br&gt;
Further information is available from the &lt;a href="http://www.nisra.gov.uk/deprivation/nimdm_2010.htm" title ="NISRA Multiple Deprivation Measures"&gt;Northern Ireland Statistics and Research Agency&lt;/a&gt; (NISRA) Multiple Deprivation Measures web pages.&lt;br&gt;
DOI: 10.5255/ukda-sn-6736-1
title: Northern Ireland Multiple Deprivation Measure, 2010
title: Northern Ireland Multiple Deprivation Measures, 2001-

description: The &lt;i&gt;Northern Ireland Multiple Deprivation Measures 2001, 2005 and 2010 &lt;/i&gt; show the spatial distribution of deprivation across Northern Ireland at the small area level. Information is provided for a number of different types or ‘domains’ of deprivation; income, employment, health, education, proximity to services, crime, living environment, and an overall measure encompassing all of the deprivation domains. Small areas are measured relative to each other from rank 1 (most deprived) to least deprived . A number of summary measures at higher geographies and population estimates for the small area geographies are also provided. &lt;br&gt;
&lt;br&gt;
The Deprivation Measures follow the domain methodology employed by Professor Mike Noble of the Social Disadvantage and Research Centre, University of Oxford. The domain methodology underpins the construction of the English, Welsh and Scottish deprivation measures.&lt;br&gt;
&lt;br&gt;
Further information is available from the &lt;a href="http://www.nisra.gov.uk/deprivation/nimdm_2010.htm" title ="NISRA Multiple Deprivation Measures"&gt;Northern Ireland Statistics and Research Agency&lt;/a&gt; (NISRA) Multiple Deprivation Measures web pages.&lt;br&gt;
DOI: 10.5255/ukda-sn-6740-2
title: Active People Survey, 2008-2009
title: Active People Survey, 2005-2016
title: APS3

description: The &lt;span style="font-style: italic;"&gt;Active People Survey&lt;/span&gt; commenced in October 2005 and was commissioned by Sports England. The primary objective of the survey was to measure levels of participation in sport and active recreation and its contribution to improving the health of the nation. Sport and active recreation included walking and cycling for recreation in addition to more traditional formal and informal spots. When measuring sports participation the survey not only recorded the type of activity but also the frequency, intensity and duration of the activity. &lt;br&gt;&lt;br&gt;The &lt;span style="font-style: italic;"&gt;Active People Survey&lt;/span&gt; was replaced by the &lt;span style="font-style: italic;"&gt;Active Lives Survey&lt;/span&gt; in November 2015.  &lt;span style="font-style: italic;"&gt;Active Lives&lt;/span&gt; is a new survey with a different methodology and intended to measure different outcomes from those in the &lt;span style="font-style: italic;"&gt;Active People Survey&lt;/span&gt;, however there are similarities as it was important that data could be reproduced on some of the key measures.&lt;br&gt;&lt;br&gt;More general information can be found on the Sport England &lt;a href="https://www.sportengland.org/research/active-lives-survey/" style="background-color: rgb(255, 255, 255);"&gt;Active Lives Survey&lt;/a&gt; webpage and the &lt;a href="https://activelives.sportengland.org/" style="background-color: rgb(255, 255, 255);"&gt;Active Lives Online&lt;/a&gt; website, including reports and data tables.&lt;br&gt;&lt;br&gt;&lt;br&gt; For the second edition (October 2015), the data file was replaced with a new version to reflect changes in the Sport England core measure, the ‘1x30’ indicator. The documentation has also been updated.
DOI: 10.5255/ukda-sn-6741-2
title: Active People Survey, 2009-2010
title: Active People Survey, 2005-2016
title: APS4

description: The &lt;span style="font-style: italic;"&gt;Active People Survey&lt;/span&gt; commenced in October 2005 and was commissioned by Sports England. The primary objective of the survey was to measure levels of participation in sport and active recreation and its contribution to improving the health of the nation. Sport and active recreation included walking and cycling for recreation in addition to more traditional formal and informal spots. When measuring sports participation the survey not only recorded the type of activity but also the frequency, intensity and duration of the activity. &lt;br&gt;&lt;br&gt;The &lt;span style="font-style: italic;"&gt;Active People Survey&lt;/span&gt; was replaced by the &lt;span style="font-style: italic;"&gt;Active Lives Survey&lt;/span&gt; in November 2015.  &lt;span style="font-style: italic;"&gt;Active Lives&lt;/span&gt; is a new survey with a different methodology and intended to measure different outcomes from those in the &lt;span style="font-style: italic;"&gt;Active People Survey&lt;/span&gt;, however there are similarities as it was important that data could be reproduced on some of the key measures.&lt;br&gt;&lt;br&gt;More general information can be found on the Sport England &lt;a href="https://www.sportengland.org/research/active-lives-survey/" style="background-color: rgb(255, 255, 255);"&gt;Active Lives Survey&lt;/a&gt; webpage and the &lt;a href="https://activelives.sportengland.org/" style="background-color: rgb(255, 255, 255);"&gt;Active Lives Online&lt;/a&gt; website, including reports and data tables.&lt;br&gt;&lt;br&gt;&lt;br&gt; For the second edition (October 2015), the data file was replaced with a new version to reflect changes in the Sport England core measure, the ‘1x30’ indicator. The documentation has also been updated.
DOI: 10.5255/ukda-sn-6747-1
title: Monthly Inquiry into the Distribution and Services Sector, 1997-2009: Secure Access
title: MIDSS

description: The &lt;i&gt;Monthly Inquiry into the Distribution and Services Sector&lt;/i&gt; (MIDSS) is designed to meet the Government need for the production of a monthly Index of Services (IoS) and the Index of Distribution (IoD) which is a component of the IoS. Turnover data are collected monthly and, additionally, employment data are collected quarterly. It is used to estimate the change in turnover (and employment) in the service and distribution industries (excluding retail).&lt;br&gt; &lt;br&gt; MIDSS provides 40% of the current turnover data used in the compilation of the IoS and 45% of the data used to estimate the number of employees in the distribution and service industries. Both of these measures are key short-term economic indicators. The MIDSS also provides 30% per cent of the output measure of Gross Domestic Product (GDP) and feeds into the income measure of GDP along with other labour market data. There is no other official source of short-term economic data for distribution and service sectors with the comprehensive coverage of the MIDSS.&lt;br&gt; &lt;br&gt; MIDSS covers the following sectors: motor trades, wholesale, hotels and restaurants, transport and postal services (excluding national post activities), renting, computer and related services, research and development, business services (e.g. labour recruitment and accounting), sewage and refuse disposal, recreation, and other services.&lt;br&gt; &lt;br&gt; &lt;i&gt;Linking to other business studies&lt;/i&gt;&lt;br&gt; These data contain Inter-Departmental Business Register reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.&lt;br/&gt;
DOI: 10.5255/ukda-sn-6748-1
title: Benefits and Costs of Knowledge and Technology Transfer: a Panel Data Analysis, 1985-2007
title: Longitudinal Study of Engineering in the United Kingdom

description: The &lt;i&gt;Benefits and Costs of Knowledge and Technology Transfer: a Panel Data Analysis, 1985-2007&lt;/i&gt; aimed to create a dataset that would enable researchers to document and analyse quantitatively the evolution of research output, knowledge and technology transfer measures in the UK. In particular the researchers planned to measure the dynamic impact of industry collaboration on individual academic research output. The study addresses the concerns that received most public and scholarly attention: firstly the reduction in the number of publications, secondly the increase in applied research versus basic; and thirdly the delay of publications due to secrecy requirements for patents. Despite the extensive interest in knowledge and technology transfer, most of the claims in either direction still lack satisfying empirical evidence stemming from the analysis of a large and longitudinal dataset. &lt;br&gt; &lt;br&gt; Further information can be found on the &lt;a href="http://www.esrcsocietytoday.ac.uk/my-esrc/grants/RES-000-22-2806/read" title="Benefits and Costs of Knowledge and Technology Transfer: A Panel Data Analysis" &gt;Benefits and Costs of Knowledge and Technology Transfer: A Panel Data Analysis&lt;a/&gt; ESRC Award web page.&lt;br&gt;
DOI: 10.5255/ukda-sn-6749-1
title: Ethnic Minority Young People: Differential Treatment in the Youth Justice System, 2006

description: There are clear patterns of under- and over-representation of ethnic minority groups in the youth justice system. Black and mixed race teenagers are over-represented, relative to their representation in the overall population. Other minority groups are not generally over-represented and some are under-represented. &lt;br&gt;
&lt;br&gt;
This study examined whether teenagers from ethnic minorities are treated differently to white teenagers by the youth justice system. It investigated how young people are drawn into the youth justice system, and traced whether disproportionality at the point of entry was preserved, amplified or reduced as they passed through the system. &lt;br&gt;
&lt;br&gt;
The data available from the UK Data Archive comprise a database of young offenders. Data were collected from the Youth Offending Information System (YOIS), an electronic system used by most YOTs in the country to case-manage and report on young offenders. A purposive sample of 12 YOTs was used to yield relatively high proportions of offenders from the larger ethnic minority groups. YOIS data on all offenders who had committed an offence in 2006 and their disposals recorded up to December 2007 have been extracted.&lt;br&gt;
&lt;br&gt;
Further information is available on the &lt;a href="http://www.esrc.ac.uk/my-esrc/grants/RES-178-25-0008/read" title="Ethnic Minority Young People: differential treatment in the Youth Justice System"&gt;Ethnic Minority Young People: differential treatment in the Youth Justice System&lt;/a&gt; ESRC award web page.&lt;br&gt;
DOI: 10.15468/dl.dhkh26
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scenedesmus abundans",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031220-250920141307145/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-6750-1
title: Behaviour for Well-Being, Environment and Life, 2010
title: BeWEL

description: Behaviour for Well-being, Environment and Life (BeWEL) was an Exploratory Research Network, funded for 12 months from July 2009, established to provide a new cross-disciplinary perspective on understanding individual pro-environment behaviour. The overall aim of the BeWEL exploratory network was to use an interdisciplinary approach to deepen our understanding of key drivers of, and barriers to, pro-environment behaviour change (‘sustainable behaviours’). Six fundamental, and complementary, research objectives (ROs) underpinned our network. These were to improve knowledge of: &lt;ul&gt;&lt;li&gt;RO 1 - how people interact with nature&lt;/li&gt;&lt;li&gt;RO 2 - how such interactions may influence personal well-being&lt;/li&gt;&lt;li&gt;RO 3 - the neuropsychological and physiological ‘signatures’ of personal well-being&lt;/li&gt;&lt;li&gt;RO 4 - how personal well-being derived from interactions with nature may influence propensity to engage in pro-environment behaviours&lt;/li&gt;&lt;li&gt;RO 5 - lifespan changes in cognitive and neural functioning as factors that may influence propensity to engage in pro- environment behaviours&lt;/li&gt;&lt;li&gt;RO 6 - the implications from the above for current conceptualisations of, and approaches to encouraging, pro-environment behaviour&lt;/li&gt;&lt;/ul&gt;Key activities included: &lt;ul&gt;&lt;li&gt;conducting pilot research projects&lt;/li&gt;&lt;li&gt; analysing how interdisciplinary research can be evaluated&lt;/li&gt;&lt;li&gt;testing a virtual research environment computing software designed to facilitate the work of interdisciplinary research teams&lt;/li&gt;&lt;li&gt;producing short and accessible ‘state of understanding’ reports in key knowledge areas&lt;/li&gt;&lt;li&gt;hosting an early career researcher workshop and public engagement events&lt;/li&gt;&lt;/ul&gt;The data available from the UK Data Archive relates to part of the exploratory pilot project work. Data were collected by paper and online questionnaires to explore pro-environmental behaviour, nature interactions, personal well-being, personal values and socio-demographics. &lt;br&gt; &lt;br&gt; Further information is available from the &lt;a href ="http://www.esrc.ac.uk/my-esrc/grants/RES-355-25-0020/read" title="Behaviour for well-being, environment and life (BeWEL)"&gt;BeWEL&lt;/a&gt; ESRC Award web page and the &lt;a href ="http://www.bewel.net/" title ="BeWEL network"&gt;BeWEL network&lt;/a&gt; website.&lt;br&gt; &lt;br&gt;
DOI: 10.5255/ukda-sn-6753-1
title: Scottish Survey of Adult Literacies, 2009
title: SSAL; SSAL2009

description: The aim of the &lt;i&gt;Scottish Survey of Adult Literacies, 2009&lt;/i&gt; (SSAL2009) was to update existing data on working age (16-65 year old) adults’ literacies skills, and to provide a new baseline estimate of the general population’s levels of literacies skills in Scotland. This included an assessment of skills on three literacies scales; prose, document and quantitative literacy. The aim of the survey also included exploring patterns of literacies skills and analysing these skills in relation to respondents’ social backgrounds. The sampling strategy ensures a high degree of representativeness and allows in-depth discussion of issues such as gender, social class, urbanisation and work.&lt;br&gt; &lt;br&gt; SSAL2009 is based on the &lt;i&gt;International Adult Literacy Survey&lt;/i&gt; (IALS) carried out in 1996 as part of an international programme of surveys. The Great British part of this survey is available from the UK Data Archive under SN 3791 - &lt;i&gt; Adult Literacy in Britain, 1996&lt;/i&gt;.&lt;br&gt;