cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5255/ukda-sn-8652-4
title: Active Lives Survey, 2018-2019
title: Active Lives Adult Survey, 2015-
title: ALS4

description: &lt;p&gt;The &lt;span style="font-style: italic;"&gt;Active Lives Survey&lt;/span&gt; (ALS) commenced in November 2015. It replaces the Active People Survey, which ran from 2005 to 2015. The survey provides the largest sample size ever established for a sport and recreation survey and allows levels of detailed analysis previously unavailable. It identifies how participation varies from place to place, across different sports, and between different groups in the population. The survey also measures levels of activity (active, fairly active and inactive), the proportion of the adult population that volunteer in sports on a weekly basis, club membership, sports spectating and wellbeing measures such as happiness and anxiety, etc. The questionnaire was designed to enable analysis of the findings by a broad range of demographic information, such as gender, social class, ethnicity, household structure, age, and disability.&lt;/p&gt;&lt;p&gt;The Coronavirus (COVID-19) pandemic developed rapidly during 2020 and 2021. Fieldwork for the Active Lives survey continued throughout the pandemic, which covered periods Nov 2019-20 and Nov 2020-21. The data from Nov 2021-22 onwards covers periods without any coronavirus restrictions. &lt;/p&gt;&lt;p&gt;More general information about the study can be found on the Sport England &lt;a href="https://www.sportengland.org/research/active-lives-survey/"&gt;Active Lives Survey&lt;/a&gt; webpage and the &lt;a href="https://activelives.sportengland.org/"&gt;Active Lives Online&lt;/a&gt; website, including reports and data tables.&lt;/p&gt;&lt;p&gt;&lt;span style="font-weight: bold;"&gt;Data Formats&lt;/span&gt;&lt;span style="font-weight: 700;"&gt;&lt;br&gt;&lt;/span&gt;Users should note that the Active Lives data are deposited in SPSS format. The UKDS also provides the data in Stata and tab-delimited formats, but due to the differing nature of the SPSS and Stata software packages and the structure of the Active Lives data, Stata users may experience some issues with labels or variable formats. We therefore recommend that users analyse the data in SPSS where possible.&lt;/p&gt; 
&lt;p&gt;&lt;span style="font-weight: bold;"&gt;Latest version&lt;/span&gt;&lt;/p&gt;&lt;p&gt;For the fourth edition (February 2025), the data file was resupplied, with an updated County Sports Partnership variable (CSP_2025), an updated inequalities metric variable (equalities_metric_2024_GR4), and new cultural activities variables (library visits, arts participation/visits, frequency) included.&lt;/p&gt;
DOI: 10.25346/s6eecgix/1z1k9a
title: msXV_128r_65_37.tif
DOI: 10.5255/ukda-sn-8653-31
title: Business Insights and Conditions Survey: Waves 1-135, 2020-2025: Secure Access
title: BICS; Business Impact of COVID-19 Survey

description: &lt;div&gt;The &lt;span style="font-style: italic;"&gt;Business Insights and Conditions Surve&lt;/span&gt;&lt;span style="font-family: &quot;Helvetica&quot;, sans-serif;"&gt;&lt;span style="font-style: italic;"&gt;y&lt;/span&gt; (BICS, formerly&lt;/span&gt;&lt;span style="font-size:11.0pt;font-family:&quot;Helvetica&quot;,sans-serif;
mso-fareast-font-family:Calibri;mso-fareast-theme-font:minor-latin;mso-ansi-language:
EN-GB;mso-fareast-language:EN-US;mso-bidi-language:AR-SA"&gt;&lt;/span&gt;&lt;span style="font-style: italic;"&gt; the Business Impact of COVID-19 Survey)&lt;/span&gt; is a voluntary fortnightly survey of businesses developed to deliver timely indicators to help understand the impact of the coronavirus pandemic (COVID-19).  The scope of the survey has been expanded to explore other economic-related issues such as the European Union transition period (Brexit).  The survey captures businesses responses on how their turnover, workforce, prices, trade and business resilience have been affected in the two week reference period.&lt;br class="Apple-interchange-newline"&gt;&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;The data should be treated with caution as results reflect the characteristics of those who responded and not necessarily the wider business population. Comparison of the proportions of businesses' trading status between waves should be treated with caution because of the voluntary nature of the survey, the difference in response rates and dependency on those businesses that only responded in particular waves. These data should not be used in place of official statistics. The survey was designed to give an indication of the impact of the coronavirus on businesses and a timelier estimate than other surveys. The latest publications from the survey can be found on the ONS &lt;a href="https://www.ons.gov.uk/businessindustryandtrade/business/businessservices" target="_blank"&gt;Business Services&lt;/a&gt; webpage. &lt;/div&gt;&lt;div&gt;&lt;br&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;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;span style="font-weight: bold;"&gt;Latest edition information&lt;/span&gt;&lt;br&gt;For the 31st edition (September 2025), data and documentations for Waves 127 to 135 were added to the study.&lt;/div&gt;
DOI: 10.25346/s6eecgix/ageu31
title: msXV_128r_47_36.tif
DOI: 10.26275/nyt8-qfwz
title: Determining the vagal- immune interface using pseudorabies virus

description: Images from superior mesenteric ganglion and brain post infection with PRV in vagotomized and non-vagotomized mice
DOI: 10.25346/s6eecgix/j5bp4a
title: msXV_128r_47_35.tif
DOI: 10.5255/ukda-sn-8667-1
title: Cancer Research UK Cancer Awareness Measures, 2017
title: Cancer Awareness Measures
title: CAM

description: &lt;p&gt;The &lt;span style="font-style: italic;"&gt;Cancer Awareness Measure&lt;/span&gt; (CAM) was developed in 2007-8 to address the absence of a validated measure of general public awareness of cancer (Stubbings, S., Robb, K., Waller, J., Ramirez, A., Austoker, J., Macleod, U., Hion, S., and Wardle, J. (2009) 'Development of a measurement tool to assess public awareness of cancer', British Journal of Cancer, 101(2), S13-S17.).&lt;br&gt;&lt;br&gt;The survey includes measures of awareness of signs and symptoms of cancer, cancer risk factors, age-related risk, screening programmes and potential barriers to seeing the GP. Since then, Cancer Research UK (CRUK) has significantly revised and updated the survey, including a wider range of questions and collecting data online instead of face-to-face. The CAM was also previously known as the National Awareness and Early Diagnosis Initiative Cancer Awareness Measure (NAEDI-CAM).&lt;/p&gt; 
&lt;p style="margin-bottom: 10px;"&gt;The CAM has been included in the Opinions and Lifestyle Survey (OLS) which is an omnibus survey ran by the Office for National Statistics (ONS). Data has traditionally been collected via face-to-face in-home interviews. In 2017 a parallel run of data collection was undertaken to explore whether it would be possible to move data collection online. The results of this work revealed that samples collected via online and face to face methods were largely similar, with slight differences in participant characteristics, awareness of cancer signs and symptoms and barriers to help seeking. Based on this work, CAM data will be collected online from 2019.&lt;br&gt;&lt;/p&gt;&lt;p style="margin-bottom: 10px;"&gt;Further information about the CAM, including findings and guidance on the use of CAM, may be found on the &lt;a title="Cancer Research UK Cancer Awareness Measures (CAMs)" href="https://www.cancerresearchuk.org/health-professional/awareness-and-prevention/the-cancer-awareness-measures-cam#CAM_Use3" data-mce-href="https://www.cancerresearchuk.org/health-professional/awareness-and-prevention/the-cancer-awareness-measures-cam#CAM_Use3" style=""&gt;Cancer Research UK Cancer Awareness Measures (CAMs)&lt;/a&gt; webpage.&lt;/p&gt;
DOI: 10.5255/ukda-sn-8668-1
title: Children and Young People's Financial Capability Survey, 2019
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;The Children and Young People's Financial Capability Survey, 2019 is a nationally representative study of the financial knowledge, attitudes, mindsets and behaviours of 7-17 year olds and their parents, living in the UK. A total of 3,745 children and young people and their parents were interviewed as part of this research.&lt;/p&gt;&lt;p&gt;Children were asked about:&lt;/p&gt;&lt;ul&gt;
&lt;li&gt;how they get, save and spend money;&lt;/li&gt;
&lt;li&gt;their attitude to spending, saving and debt;&lt;/li&gt;
&lt;li&gt;their confidence and understanding about money; and&lt;/li&gt;
&lt;li&gt;how they recall receiving financial education.&lt;/li&gt;
&lt;/ul&gt;&lt;p&gt;Their parents were asked about:&lt;/p&gt;&lt;ul&gt;
&lt;li&gt;their own attitudes and behaviours with money;&lt;/li&gt;
&lt;li&gt;their attitudes and approaches towards parenting relevant to money; and&lt;/li&gt;
&lt;li&gt;their view on their child's skills, abilities, attitudes and behaviours with money.&lt;/li&gt;
&lt;/ul&gt;&lt;p&gt;The reports published so far from the 2019 survey can be found on the &lt;a title="Money and Pensions Service Research" href="https://moneyandpensionsservice.org.uk/research/"&gt;Money and Pensions Service Research&lt;/a&gt; webpage (Short Reports) and on the Money Advice Service &lt;a title="Contributing Analysis Reports" href="https://www.moneyadviceservice.org.uk/en/corporate/children-young-people-and-financial-capability-commissioning-plan--contributing-analysis-reports"&gt;Contributing Analysis Reports&lt;/a&gt; webpage.&lt;br&gt;&lt;/p&gt;&lt;p&gt;





&lt;/p&gt;&lt;p&gt;The 2019 survey updates and builds on the previous 2016 Children and Young People's Financial Capability Survey (not currently held at the UK Data Service) and provides robust measures of children and young people's financial capability across the UK, including separate analysis for each devolved nation. (Reports from the 2016 survey are also available at the web link above.)&lt;/p&gt;
DOI: 10.5255/ukda-sn-8669-1
title: English Housing Survey, 2018-2019: Household Data
title: EHS

description: &lt;p&gt;Further information about the EHS 2018-19 can be found in the GOV.UK &lt;a href="https://www.gov.uk/government/statistics/english-housing-survey-2018-to-2019-headline-report"&gt;English Housing Survey 2018 to 2019: headline report &lt;/a&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;
DOI: 10.25346/s6eecgix/48vtya
title: msXV_128r_47_34.tif
DOI: 10.25346/s6eecgix/auvsh9
title: msXV_128r_47_33.tif
DOI: 10.15468/dl.3g5sx8
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Xenotrecha, Eutrecha, Antillotrecha)"
 ]
}

 The dataset includes 26 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031289-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6eecgix/7ozawq
title: msXV_128r_47_32.tif
DOI: 10.25346/s6eecgix/qvfuhy
title: msXV_128r_47_31.tif
DOI: 10.15468/dl.rb3vq8
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031291-250920141307145/datasets/export for details.
DOI: 10.25346/s6eecgix/1cdm94
title: msXV_128r_47_30.tif
DOI: 10.25346/s6eecgix/ulhwtm
title: msXV_128r_47_29.tif
DOI: 10.25346/s6eecgix/lu8dlv
title: msXV_128r_47_28.tif
DOI: 10.25346/s6eecgix/frvqnk
title: msXV_128r_47_27.tif
DOI: 10.25346/s6eecgix/qikncw
title: msXV_128r_47_26.tif
DOI: 10.25346/s6eecgix/3vk05d
title: msXV_128r_47_25.tif
DOI: 10.25346/s6eecgix/mkyq0h
title: msXV_128r_31_24.tif
DOI: 10.25346/s6eecgix/rkpsas
title: msXV_128r_31_23.tif
DOI: 10.25346/s6eecgix/2a7rxt
title: msXV_128r_31_22.tif
DOI: 10.25346/s6eecgix/ggtbrr
title: msXV_128r_31_21.tif
DOI: 10.25346/s6eecgix/okd7ul
title: msXV_128r_31_20.tif
DOI: 10.25346/s6eecgix/03vhqc
title: msXV_128r_31_19.tif
DOI: 10.15468/dd.t9zdcc
title: Dataset generated from Esri tool

description: Derived dataset generated by Esri geoprocessing tool using GBIF API
DOI: 10.25346/s6eecgix/nxwa5u
title: msXV_128r_31_18.tif
DOI: 10.25346/s6eecgix/x8zw4e
title: msXV_128r_31_17.tif
DOI: 10.25346/s6eecgix/0m3kre
title: msXV_128r_31_16.tif
DOI: 10.13140/rg.2.2.17051.18724
title: Galeria Aparte. Index 2005 - 2020 (Editorial note by Catalin Soreanu)
DOI: 10.13140/rg.2.2.16789.04326
title: Catalin-Soreanu_Benetton-Advertising_EXCERPT.pdf
DOI: 10.13140/rg.2.2.21297.92004
title: British Companys Delhi Field Forces Camp at Delhi
DOI: 10.13140/rg.2.2.32412.82563
title: Workflows for predictive cropland area mapping
DOI: 10.15468/ej84an
title: Données naturalistes opportunistes issues de la plateforme INaturalist-Données naturalistes opportunistes "nevaram"

description: Données naturalistes opportunistes saisies sur iNaturalist à partir du compte "nevaram"
DOI: 10.13140/rg.2.2.15138.76483
title: Theoretical details and instructions to conduct further simulations of habituation - HABITUATIONLAB PRO
DOI: 10.15156/bio/sh0191632.10fu
title: SH0191632.10FU

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/sh0191633.10fu
title: SH0191633.10FU

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/sh0191634.10fu
title: SH0191634.10FU

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/sh0191635.10fu
title: SH0191635.10FU

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/sh0191636.10fu
title: SH0191636.10FU

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/sh0191637.10fu
title: SH0191637.10FU

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/sh0191638.10fu
title: SH0191638.10FU

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/sh0191639.10fu
title: SH0191639.10FU

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.