cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25346/s6eecgix/muhmrl
title: qt_nl.qm
DOI: 10.25346/s6eecgix/836ocz
title: qt_fa.qm
DOI: 10.25346/s6eecgix/ktw5bo
title: qt_sk.qm
DOI: 10.25346/s6eecgix/3sdpwo
title: qt_pt_BR.qm
DOI: 10.25346/s6eecgix/wnwgge
title: jpeg62.dll
DOI: 10.25346/s6eecgix/ipgrgr
title: qt_it.qm
DOI: 10.25346/s6eecgix/xzlipc
title: qt_bg.qm
DOI: 10.25346/s6eecgix/unxu0a
title: qt_nn.qm
DOI: 10.25346/s6eecgix/thhvlk
title: qnetworklistmanager.dll
DOI: 10.5255/ukda-sn-8446-3
title: Taking Part: the National Survey of Culture, Leisure and Sport, 2017-2018; Adult and Child Data: Special Licence Access
title: Taking Part: the National Survey of Culture, Leisure and Sport, 2005/06- : Special Licence Access
title: Taking Part Year 13

description: The &lt;i&gt;Taking Part&lt;/i&gt; survey collects data on many aspects of leisure, culture and sport in England, as well as an in-depth range of socio-demographic information on respondents. The survey is commissioned by the Department for Digital, Culture, Media and Sport (DCMS) in partnership with three of its non-departmental public bodies (Sport England, Arts Council England and English Heritage). The survey was first commissioned in 2005 as a face-to-face household survey of adults (16+) in England. Since then it has run annually and has also been developed to include further elements, including a child element and a longitudinal element.&lt;br&gt;
&lt;br&gt;
Further information can be found on the gov.uk &lt;a href="https://www.gov.uk/government/collections/taking-part" target="_blank" title="Taking Part"&gt;Taking Part&lt;/a&gt; web pages.&lt;br&gt;
&lt;br&gt;
 &lt;p&gt;This study is subject to restrictive Special Licence (SL) access conditions as it contains additional detailed geographic variables (ACORN Group and ONS Urban Rural Classification). The End User Licence (EUL) version, which does not contain these detailed variables, is available under SN 8442. &lt;/p&gt;&lt;p&gt;Users are advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements. The SL data have more restrictive access conditions; prospective users of the SL version will need to complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables in order to get permission to use that version.&lt;/p&gt;&lt;p&gt;&lt;span style="font-weight:bold"&gt;Latest edition information&lt;/span&gt;&lt;/p&gt;&lt;p&gt;For the third edition (January 2024), data and documentation for the web panel have been added to the study.&lt;br&gt;&lt;/p&gt;
DOI: 10.25346/s6eecgix/veveaa
title: qt_es.qm
DOI: 10.5255/ukda-sn-8450-2
title: British Social Attitudes Survey, 2017
title: British Social Attitudes Survey, 1983-
title: BSA

description: &lt;p&gt;&lt;strong&gt;Background&lt;/strong&gt;&lt;br&gt;The British Social Attitudes (BSA) survey series began in 1983. The series is designed to produce annual measures of attitudinal movements to complement large-scale government surveys that deal largely with facts and behaviour patterns, and the data on party political attitudes produced by opinion polls. One of the BSA's main purposes is to allow the monitoring of patterns of continuity and change, and the examination of the relative rates at which attitudes, in respect of a range of social issues, change over time. Some questions are asked regularly, others less often. Funding for BSA comes from a number of sources (including government departments, the Economic and Social Research Council and other research foundations), but the final responsibility for the coverage and wording of the annual questionnaires rests with NatCen Social Research (formerly Social and Community Planning Research). The BSA has been conducted every year since 1983, except in 1988 and 1992 when core funding was devoted to the British Election Study (BES).&lt;br&gt;&lt;br&gt;Further information about the series and links to publications may be found on the NatCen Social Research &lt;a title="British Social Attitudes" href="https://natcen.ac.uk/flagship-surveys"&gt;British Social Attitudes&lt;/a&gt; webpage.&lt;/p&gt; &lt;p&gt;The BSA 2017 report, including Key Findings, is available from on the NatCen BSA website:&lt;/p&gt;&lt;p&gt;Phillips, D., Curtice, J., Phillips, M. and Perry, J. (ed.) (2018), &lt;a title="British Social Attitudes: The 35th Report" href="http://www.bsa.natcen.ac.uk/latest-report/british-social-attitudes-35/key-findings.aspx"&gt;&lt;em&gt;British Social Attitudes: The 35th Report&lt;/em&gt;&lt;/a&gt;, London: The National Centre for Social Research.&lt;/p&gt;&lt;p&gt;

&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Latest edition information&lt;br&gt;&lt;/strong&gt;For the second edition (February 2021) four equivalised income variables have been added to the dataset.&lt;/p&gt;
DOI: 10.6084/m9.figshare.30121735.v19
title: Logic 14 pdf NEW

description: Logic innovation
DOI: 10.25346/s6eecgix/yjjxvb
title: qt_hu.qm
DOI: 10.5255/ukda-sn-8454-2
title: Financial Capability Survey, 2018
title: Financial Capability Survey, 2015-

description: &lt;p&gt;The Financial Capability Survey is a nationally representative survey of UK residents, commissioned initially in 2005 by the Financial Services Authority and then from 2015 onwards by the Money and Pensions Service (formerly the Money Advice Service), to support the development and delivery of the &lt;a href="http://www.fincap.org.uk/" target="_blank" style="background-color: rgb(255, 255, 255);"&gt;Financial Capability Strategy for the UK.&lt;/a&gt; &lt;br&gt;&lt;/p&gt; &lt;p&gt;
&lt;p&gt;The &lt;span&gt;Financial Capability Survey, 2018 &lt;/span&gt;is the third survey in the series for which interviews were conducted with a UK nationally representative sample of 5,974 adults. The sample was boosted in each of the devolved nations (Scotland, Wales and Northern Ireland) to ensure a robust base for analysis in each nation. The mixed mode approach aimed to balance online with offline interviewing, as informed by a number of successful surveys.&lt;br&gt;
&lt;br&gt;
For the 2018 survey, there were additional research objectives to:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Update and improve the 2015 Building Blocks analysis;&lt;/li&gt;&lt;li&gt;Validate measures derived in 2015;&lt;/li&gt;&lt;li&gt;Improve the survey design to increase overall effective sample size enabling more effective analysis of important sub-groups such as devolved nations, young adults, older people in retirement;&lt;/li&gt;&lt;li&gt;Improve measures of retirement planning.&lt;br&gt;
&lt;/li&gt;&lt;/ul&gt;
For comparability purposes, the basic methodology remained the same as in 2015. This includes the mix of online (via a panel) and face-to-face fieldwork techniques. However, to build on learnings from 2015, some improvements were made to the approach, all detailed in the technical report.&lt;/p&gt;&lt;p&gt;&lt;span style="font-weight: bold;"&gt;Latest edition information&lt;/span&gt;&lt;br&gt;For the second edition (August 2020), an updated version of the data file containing additional analysis variables and a new document covering the Financial Wellbeing Segmentation model were added to the study.&lt;/p&gt;
DOI: 10.5255/ukda-sn-8455-1
title: English Private Landlord Survey, 2018
title: English Private Landlord Survey, 2018-
title: EPLS

description: &lt;p&gt;The English Private Landlord Survey (EPLS) is a national survey commissioned by the Department for Levelling Up, Housing and Communities (DLUHC). It surveys private landlords and letting agents in England, and collects information about their circumstances, their properties, their tenants, and the possible impact of legislative and policy changes in the sector. The aim of the EPLS is to inform government understanding of the characteristics and experiences of landlords and how they acquire, let, manage and maintain privately rented accommodation.&lt;/p&gt;&lt;p&gt;&lt;br&gt;Although the EPLS explores similar issues to previous government private landlord surveys, carried out in 2001, 2003, 2006 and 2010 (the 2010 study is available under SN 7114), it uses a new method and approach. Whereas previous surveys used face-to-face and telephone interviews with the sample drawn from the English Housing Survey, the EPLS uses an online survey with the sample drawn from landlords and agents with deposits registered with one of the three government-backed Tenancy Deposit Protection (TDP) schemes.&lt;br&gt;&lt;br&gt;More information about this survey can be found on the GOV.UK &lt;a href="https://www.gov.uk/government/collections/english-private-landlord-survey"&gt;English Private Landlord Survey&lt;/a&gt; webpage.&lt;/p&gt; 
&lt;p class="x_x_MsoNormal"&gt;The &lt;span style="font-style: italic;"&gt;English Private Landlord Survey, 2018&lt;/span&gt;&lt;span&gt; is an online survey of almost 8,000 landlords and agents all of whom are registered with one of the three government-backed Tenancy Deposit Protection (TDP) schemes.&lt;/span&gt;&lt;/p&gt;
DOI: 10.25346/s6eecgix/24e3wq
title: qt_gd.qm
DOI: 10.5255/ukda-sn-8457-1
title: Longitudinal Inter-Departmental Business Register, 2007-2017: Secure Access
title: Longitudinal IDBR; LIDBR

description: &lt;div&gt;The &lt;span style="font-style: italic;"&gt;Longitudinal Inter-Departmental Business Register, 2007-2017: Secure Access&lt;/span&gt; has been created by the Department for Business, Energy and Industrial Strategy using extracts of the Inter-Departmental Business Register (IDBR). The IDBR is a comprehensive list of UK businesses used by government for statistical purposes. The IDBR provides the main sampling frame for surveys of businesses carried out by the Office for National Statistics (ONS) and other government departments. It is also an important data source for analyses of business activities. The IDBR covers 2.6 million businesses in all sectors of the UK economy, other than very small businesses (those without employees and with turnover below the tax threshold) and some non-profit making organisations. The two main sources of input are the Value Added Tax (VAT) system from HMRC (Customs) and Pay As You Earn (PAYE) from HMRC (Revenue). Additional input comes from Companies House, Dun and Bradstreet and other business surveys.&lt;br&gt;&lt;br&gt;The Longitudinal IDBR contains an extracted 'employees' dataset and an extracted 'turnover' dataset which can both be used to look at growth patterns. Further information about how the datasets have been created are available in the Documentation.&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;&lt;span style="font-style: italic;"&gt;Linking to other business studies&lt;/span&gt;&lt;/div&gt;&lt;div&gt;These data contain IDBR 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;/div&gt;
DOI: 10.5255/ukda-sn-8463-1
title: Scottish Household Survey, 2017
title: Scottish Household Survey, 1999-
title: SHS

description: &lt;p&gt;The &lt;em&gt;Scottish Household Survey&lt;/em&gt; (SHS) is a continuous survey based on a sample of the general population in private residences in Scotland. It is financed by the Scottish Government (previously the Scottish Executive). The survey started in 1999 and up to 2011 followed a fairly consistent survey design. From 2012 onwards, the survey was substantially redesigned to include elements of the &lt;em&gt;Scottish House Condition Survey&lt;/em&gt; (SHCS) (also available from the UK Data Service), including the physical survey. The SHS is run through a consortium led by Ipsos MORI. The survey is designed to provide reliable and up-to-date information on the composition, characteristics, attitudes and behaviour of private households and individuals, both nationally and at a sub-national level and to examine the physical condition of Scotland's homes. It covers a wide range of topics to allow links to be made between different policy areas.&lt;/p&gt;&lt;p&gt;Further information about the survey series, and links to publications, can be found on the Scottish Government's &lt;a title="Scottish Household Survey" href="https://www.gov.scot/collections/scottish-household-survey/" style="background-color: rgb(255, 255, 255);"&gt;Scottish Household Survey&lt;/a&gt; webpages.&lt;br&gt;&lt;/p&gt;&lt;p&gt;&lt;span style="font-weight: bold;"&gt;COVID-19 restrictions&lt;/span&gt;&lt;/p&gt;&lt;p&gt;Due to COVID-19 restrictions, the SHS was conducted by telephone or via MS Teams in 2020 and 2021 (SNs 9186 and 9187). Face-to-face interviewing resumed for SHS 2022 (SN 9294) when restrictions had been lifted.&lt;/p&gt; 
&lt;p&gt;&lt;/p&gt;
&lt;p&gt;&lt;span&gt;&lt;font size="2"&gt;&lt;font color="#000000"&gt;&lt;br&gt;&lt;span&gt;&lt;/span&gt;&lt;/font&gt;&lt;/font&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;&lt;/b&gt;&lt;i&gt;&lt;/i&gt;&lt;u&gt;&lt;/u&gt;&lt;sub&gt;&lt;/sub&gt;&lt;sup&gt;&lt;/sup&gt;&lt;strike&gt;&lt;/strike&gt;&lt;font size="2"&gt;&lt;/font&gt;&lt;font size="3"&gt;&lt;/font&gt;&lt;font color="#000000"&gt;&lt;/font&gt;&lt;font face="Times New Roman"&gt;&lt;/font&gt;&lt;br&gt;
&lt;/p&gt;
DOI: 10.25346/s6eecgix/qqz07q
title: qwindowsvistastyle.dll
DOI: 10.34740/kaggle/dsv/14290257
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/atwsr6
title: Two varieties of Clerodendrum L. (Lamiaceae) from Madagascar raised to specific rank

description: This dataset contains the digitized treatments in Plazi based on the original journal article Phillipson, Peter B., Callmander, Martin W. (2016): Two varieties of Clerodendrum L. (Lamiaceae) from Madagascar raised to specific rank. Candollea 71 (2): 373-377, DOI: 10.15553/c2016v712a19AbstractPHILLIPSON, P.B. & M.W. CALLMANDER (2016). Two varieties of Clerodendrum L. (Lamiaceae) from Madagascar raised to specific rank. Candollea 71: 373-377. In English, English and French abstracts. DOI: http://dx.doi.org/ 10.15553/c2016v712a19The authors raise two varieties of Clerodendrum aucubifolium Baker to species rank, providing the new combination Clerodendrum giganteum (Moldenke) Phillipson & Callm. for one, and the replacement name Clerodendrum thouarsii Phillipson & Callm. for the other. The two species differ from typical Clerodendrum aucubifolium and other related species by their distinctive inflorescence structure and floral morphology, and from each other primarily by differences in leaf and bract shape and size.
DOI: 10.15156/bio/sh0191561.10fu
title: SH0191561.10FU

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/sh0191562.10fu
title: SH0191562.10FU

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/sh0191563.10fu
title: SH0191563.10FU

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/sh0191564.10fu
title: SH0191564.10FU

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/sh0191565.10fu
title: SH0191565.10FU

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: 10.5517/ccdc.csd.cc2q4yg9
title: CCDC 2507201: Experimental Crystal Structure Determination

description: Related Article: A.M. Saitova, T.P. Gerasimova, S.A. Katsyuba, A.B. Dobrynin, O.B. Babaeva, G.M. Fazleeva, A.A. Kalinin|2026|Dyes Pigm.|247|113511|doi:10.1016/j.dyepig.2025.113511
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: 10.15156/bio/sh0191566.10fu
title: SH0191566.10FU

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/sh0191567.10fu
title: SH0191567.10FU

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/sh0191568.10fu
title: SH0191568.10FU

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.