cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5255/ukda-sn-8374-1
title: Scottish Household Survey, 2009-2010
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;
DOI: 10.25346/s6eecgix/uhs3vd
title: qtuiotouchplugin-1.dll
DOI: 10.5255/ukda-sn-8378-4
title: Taking Part: the National Survey of Culture, Leisure and Sport, 2016-2017; Adult and Child Data
title: Taking Part: the National Surveys of Culture, Leisure and Sport, 2005-
title: Taking Part Year 12

description: The &lt;span style="font-style: italic;"&gt;Taking Part&lt;/span&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" title="Taking Part" target="_blank"&gt;Taking Part&lt;/a&gt; web pages.&lt;br&gt;
&lt;br&gt;
 
&lt;p&gt;For &lt;i&gt;Taking Part, 2016-2017&lt;/i&gt;, also known as Year 12 of the continuous survey, 9,352 adults were interviewed in the face-to-face cross-sectional study. Of these, 59% were recruited to the web panel longitudinal follow-up. They were invited to complete a web questionaire on a quarterly basis, these datasets include data collected from Q0-8.&lt;/p&gt;
&lt;p&gt;&lt;span style="font-weight:bold"&gt;Latest edition&lt;/span&gt;&lt;br&gt;
For the fourth edition (January 2024), the data and documentation for the web panel have been updated.&lt;br&gt;
&lt;/p&gt;
DOI: 10.5255/ukda-sn-8379-5
title: Taking Part: the National Survey of Culture, Leisure and Sport, 2016-2017; 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 12

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 is the same, but excludes these detailed variables, is available from the UK Data Service under SN 8378. 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;/p&gt;&lt;p&gt;&lt;br&gt;&lt;strong&gt;Latest edition&lt;/strong&gt;&lt;br&gt;For the fourth edition (January 2024), the data and documentation for the web panel have been updated.&lt;br&gt;&lt;/p&gt;
DOI: 10.5255/ukda-sn-8380-1
title: British Household Panel Survey: Waves 1-18, 1991-2009: Special Licence Access
title: British Household Panel Survey, 1991-2009: Special Licence Access
title: BHPS

description: &lt;p&gt;The British Household Panel Survey (BHPS) ran for 18 waves, from 1991-2009, and was conducted by the ESRC UK Longitudinal Studies Centre (ULSC), together with the &lt;a href="https://www.iser.essex.ac.uk/" title="Institute for Social and Economic Research"&gt;Institute for Social and Economic Research&lt;/a&gt; (ISER) at the University of Essex. The ULSC, established in 1999, was a continuation of the research resource component of the ESRC Research Centre on Micro-Social Change (MISOC), established in 1989. In addition to running panel studies, ISER undertakes a programme of research based on panel data, using &lt;a href="https://www.iser.essex.ac.uk/understanding-society" title="Understanding Society"&gt;Understanding Society&lt;/a&gt;, the BHPS and other national panels to monitor and measure social change. &lt;br&gt;
&lt;br&gt;
The main objective of the BHPS was to further understanding of social and economic change at the individual and household level in Britain, and to identify, model and forecast such changes and their causes and consequences in relation to a range of socio-economic variables. It was designed as an annual survey of each adult member (aged 16 years and over) of a nationally representative sample of more than 5,000 households, making a total of approximately 10,000 individual interviews. The same individuals were re-interviewed in successive waves and, if they left their original households, all adult members of their new households were also interviewed. Children were interviewed once they reach the age of 16; there was also a special survey of household members aged 11-15 included in the BHPS from Wave 4 onwards (the British Youth Panel, or BYP). From Wave 9, two additional samples were added to the BHPS in Scotland and Wales, and at Wave 11 an additional sample from Northern Ireland (which formed the Northern Ireland Household Panel Study or NIHPS), was added to increase the sample to cover the whole of the United Kingdom. For Waves 7-11, the BHPS also provided data for the European Community Household Panel (ECHP). For details of sampling, methodology and changes to the survey over time, see Volume A of the documentation (Introduction, Technical Report and Appendices). &lt;br&gt;
&lt;br&gt;
Further information may be found on the ISER &lt;a href="https://www.iser.essex.ac.uk/bhps"&gt;BHPS&lt;/a&gt; webpages.&lt;br&gt;
&lt;br&gt;
A less detailed version of the dataset is available under End User Licence (see SN 5151). Users should check the EUL version first to see whether it contains the data they need, before making an application for the Special Licence version. Information on the variables included in the Special Licence version may be found in the documentation - see the file '8380_eul_vs_sl_variable_differences'.&lt;br&gt;
&lt;/p&gt;
DOI: 10.25346/s6eecgix/jqjgg8
title: qt_ca-1.qm
DOI: 10.25346/s6eecgix/wka8ts
title: Qt6Gui-1.dll
DOI: 10.15156/bio/sh0191541.10fu
title: SH0191541.10FU

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/sh0191542.10fu
title: SH0191542.10FU

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/sh0191543.10fu
title: SH0191543.10FU

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/sh0191544.10fu
title: SH0191544.10FU

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/sh0191545.10fu
title: SH0191545.10FU

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/sh0191547.10fu
title: SH0191547.10FU

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: 10.15482/usda.adc/25817608
title: Whole genome sequences of bacteria isolated from Oil fly (<i>Helaeomyia petrolei</i>) larvae

description: Larvae from the petroleum oil fly, Helaeomyia petrolei, live in the asphaltene and polyaromatic hydrocarbon rich asphalt seeps of Rancho La Brea, Los Angeles, California. These larvae pass high amounts of viscous asphalt through their digestive system, and their gut microbiota is exposed to these extreme conditions. Environmental stress response mechanisms can co-select for antibiotic resistance, and in the current study we used 16S rRNA and genomic sequencing along with the Comprehensive Antibiotic Resistance Database (CARD) tools to characterize antibiotic resistance profiles from six bacteria previously isolated from the oil fly larval intestinal tract, linking phenotypic and genotypic resistance profiles. The isolates contain a core set of antibiotic resistance determinants along with determinants that are rarely found in these species. Comparing these oil fly isolates to the phenotypic prevalence data generated by the CARD Resistance Gene Identifier revealed sixteen instances where the oil fly bacteria appeared to carry a resistance not seen in related taxa in the database, suggesting a novel suite of resistance families in the oil fly isolates compared to other members of the same taxa. Results highlight the functional duality of genes that code for antibiotic resistance and expand our understanding of the ecological and evolutionary role of antibiotic resistance genes in environmental habitats.
DOI: 10.15482/usda.adc/25817608.v1
title: Whole genome sequences of bacteria isolated from Oil fly (<i>Helaeomyia petrolei</i>) larvae

description: Larvae from the petroleum oil fly, Helaeomyia petrolei, live in the asphaltene and polyaromatic hydrocarbon rich asphalt seeps of Rancho La Brea, Los Angeles, California. These larvae pass high amounts of viscous asphalt through their digestive system, and their gut microbiota is exposed to these extreme conditions. Environmental stress response mechanisms can co-select for antibiotic resistance, and in the current study we used 16S rRNA and genomic sequencing along with the Comprehensive Antibiotic Resistance Database (CARD) tools to characterize antibiotic resistance profiles from six bacteria previously isolated from the oil fly larval intestinal tract, linking phenotypic and genotypic resistance profiles. The isolates contain a core set of antibiotic resistance determinants along with determinants that are rarely found in these species. Comparing these oil fly isolates to the phenotypic prevalence data generated by the CARD Resistance Gene Identifier revealed sixteen instances where the oil fly bacteria appeared to carry a resistance not seen in related taxa in the database, suggesting a novel suite of resistance families in the oil fly isolates compared to other members of the same taxa. Results highlight the functional duality of genes that code for antibiotic resistance and expand our understanding of the ecological and evolutionary role of antibiotic resistance genes in environmental habitats.
DOI: 10.15156/bio/sh0191548.10fu
title: SH0191548.10FU

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/sh0191549.10fu
title: SH0191549.10FU

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.cc2p2m9q
title: CCDC 2475173: Experimental Crystal Structure Determination

description: Related Article: Sae Maeda, Shoko Kikkawa, Mayu Yamazaki, Megumi Ishijima, Misaki Okayasu, Tomokatsu Enda, Hidemasa Hikawa, Isao Azumaya|2025|Cryst.Growth Des.|||doi:10.1021/acs.cgd.5c01089
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/sh0191550.10fu
title: SH0191550.10FU

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.cc2p3hs3
title: CCDC 2476025: Experimental Crystal Structure Determination

description: Related Article: Abigail L. Moffett, Eleanor C. Beams, Jeffrey D. Zigbuo, Colin D. McMillen, Anthony R. Chianese, Kerry-Ann Green|2026|Inorg.Chim.Acta|592||doi:10.1016/j.ica.2025.123032
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.