cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5255/ukda-sn-8904-1
title: Community Life Survey Hyper Local Booster, 2020
title: HLB

description: &lt;dl&gt;&lt;dd&gt; &lt;p&gt;This dataset is drawn from a hyperlocal version of the Community Life Survey, an annual nationally-representative survey that provides official statistics on issues key to encouraging social action and empowering communities.&lt;/p&gt; &lt;p&gt;For this research, Kantar Public undertook surveys in the seven areas identified as having an established and growing community business sector by the Power to Change Empowering Places programme.&lt;/p&gt;&lt;p&gt;&lt;span style="font-size:11.0pt;font-family:&quot;Calibri&quot;,sans-serif; mso-fareast-font-family:&quot;Times New Roman&quot;;mso-ansi-language:EN-GB;mso-fareast-language: EN-US;mso-bidi-language:AR-SA"&gt;Further details about this research can be found on the &lt;a href="https://icstudies.org.uk/repository/empowering-places-measuring-impact-2019"&gt;Empowering Places? Measuring the impact of community businesses at neighbourhood level - A baseline study&lt;/a&gt; webpage.&lt;/span&gt;&lt;br&gt;&lt;/p&gt; &lt;/dd&gt;&lt;/dl&gt;
DOI: 10.5255/ukda-sn-8905-1
title: Community Life Survey Hyper Local Booster, 2018
title: HLB

description: &lt;p&gt;This dataset is drawn from a&lt;span&gt; hyperlocal version of the Community Life Survey, an annual nationally-representative survey that provides official statistics on issues key to encouraging social action and empowering communities.&lt;/span&gt;&lt;/p&gt; &lt;p&gt;&lt;span&gt;For this research, Kantar Public undertook surveys in the seven areas identified as having an established and growing community business sector by the Power to Change Empowering Places programme. &lt;/span&gt;&lt;span style="font-family: Calibri, sans-serif; font-size: 11pt;"&gt;Further details about this research can be found on the &lt;/span&gt;&lt;a href="https://icstudies.org.uk/repository/empowering-places-measuring-impact-2019" style="font-family: Calibri, sans-serif; font-size: 11pt; background-color: rgb(255, 255, 255);"&gt;Empowering Places? Measuring the impact of community businesses at neighbourhood level - A baseline study&lt;/a&gt;&lt;span style="font-family: Calibri, sans-serif; font-size: 11pt;"&gt; webpage.&lt;/span&gt;&lt;/p&gt;
DOI: 10.25346/s6eecgix/mjc6in
title: msXV_128r_31_14.jpg
DOI: 10.25346/s6eecgix/0eazzz
title: msXV_128r_31_13.jpg
DOI: 10.5255/ukda-sn-8909-1
title: Understanding Society: Spending Study 2, 2018-2019
title: Understanding Society: Waves 1- , 2008- : Safeguarded
title: UKHLS

description: &lt;p&gt;&lt;span style="font-style: italic;"&gt;Understanding Society&lt;/span&gt;, (UK Household Longitudinal Study), which began in 2009, is conducted by the Institute for Social and Economic Research (ISER) at the University of Essex and the survey research organisations Verian Group (formerly Kantar Public) and NatCen. It builds on and incorporates, the British Household Panel Survey (BHPS), which began in 1991.&lt;/p&gt; 
&lt;p class="x_x_x_x_x_x_MsoBodyText"&gt;The &lt;span style="font-style: italic;"&gt;Understanding Society Spending Study 2&lt;/span&gt; was conducted by the Institute for Social and Economic Research (ISER) at the University of Essex. The purpose of the study was to test ways to increase participation in mobile data collection. The study comprised two separate sample groups: adult sample members of the Understanding Society Innovation Panel (see SN 6849) and members of the Lightspeed UK Online Access Panel. Respondents in both sample groups were invited to download an app on their smartphone to provide daily updates on their spending for 31 days. Those who did not download the app were invited to complete a daily browser-based online diary. Data for the Innovation Panel sample were collected between May 2018 and February 2019. Data for the Lightspeed UK Online Access Panel sample were collected between July 2018 and January 2019.&lt;/p&gt;&lt;p class="x_x_x_x_x_x_MsoBodyText"&gt;Further information about the Spending Study, including links to publications and documents, can be found on the ISER &lt;a title="Understanding household finance through better measurement" href="https://www.iser.essex.ac.uk/research/projects/understanding-household-finance-through-better-measurement" style="background-color: rgb(255, 255, 255);"&gt;Understanding household finance through better measurement&lt;/a&gt; webpage.&lt;/p&gt;&lt;p class="x_x_x_x_x_x_MsoBodyText"&gt;&lt;span&gt;&lt;/span&gt;&lt;span&gt;&lt;/span&gt;&lt;/p&gt;
DOI: 10.5255/ukda-sn-8910-17
title: National Referral Mechanism and Duty to Notify Statistics, 2014-2025
title: NRM

description: &lt;p&gt;Modern slavery is a term that includes any form of human trafficking, slavery, servitude or forced labour, as set out in the Modern Slavery Act 2015. Potential victims of modern slavery in the UK that come to the attention of authorised ‘First Responder’ organisations are referred to the National Referral Mechanism (NRM). &lt;/p&gt;
&lt;p&gt;Adults (aged 18 or above) must consent to being referred to the NRM, whilst children under the age of 18 need not consent to being referred. As specified in section 52 of the Modern Slavery Act 2015, public authorities in England and Wales have a statutory duty to notify the Home Office when they come across potential victims of modern slavery ('Duty to Notify' (DtN)). This duty is discharged by either referring a child or consenting adult potential victim into the NRM, or by notifying the Home Office via the DtN process if an adult victim does not consent to enter the NRM.&lt;/p&gt;
&lt;p&gt;The Home Office publishes quarterly statistical bulletins and aggregated data breakdowns on the
&lt;a href="https://www.gov.uk/government/collections/national-referral-mechanism-statistics" target="_blank"&gt;
National Referral Mechanism&lt;/a&gt; webpage on the GOV.UK website regarding the number of potential victims referred each quarter. To allow stakeholders and first responders more flexibility in analysing this data for their own strategic and operational planning, the disaggregated, pseudonymised dataset used to create the aggregated published data is also available from the UK Data Service as 'safeguarded' data. (The UKDS data are available in SPSS, Stata, tab-delimited text and CSV formats.) &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 17th edition (August 2025), the data file was amended to include Quarter 2 2025 cases, and the Data Notes documentation file was also updated. &lt;/p&gt;
DOI: 10.5255/ukda-sn-8911-1
title: Will Covid-19 Change What the Public Expect of Government, 2020-2021
title: Will Covid-19 Change What the Public Expect of Government?

description: &lt;p&gt;The COVID-19 pandemic has represented the most significant public health challenge in a century, costing tens of thousands of people in the UK their lives. The UK and devolved governments have intervened in people’s personal lives to a degree unprecedented in peace time. The UK government has also presided over a dramatic increase in public spending and borrowing both to ensure that vital public services, including the health service, can cope with the disease and to mitigate the impact of the pandemic on the labour market and the economy more generally.&lt;/p&gt; &lt;p&gt;&lt;span&gt;Previous research on pandemics, infectious disease and recession suggests that COVID-19 could have a significant impact on the public’s public policy preferences - and thus the environment in which policymakers will have to address the pandemic’s consequences. Unsurprisingly, there has been considerable speculation about the impact that this dramatic shock to people’s lives and livelihoods will have on attitudes, behaviour and public policy.&lt;/span&gt;&lt;br&gt; &lt;/p&gt; &lt;p&gt;&lt;span&gt;This project looks at whether key political attitudes and values have changed following the pandemic. In particular, it assesses whether or not the experience has changed attitudes towards: (i) the role of government in managing the economy, in providing welfare and in addressing inequality, (ii) the relative importance of individual civil liberties versus adherence to collective social codes, and (iii) the globalisation process, including most notably immigration.&lt;/span&gt;&lt;br&gt; &lt;/p&gt;
DOI: 10.5255/ukda-sn-8912-14
title: Short-Term Employment Surveys, 2020-2024: Secure Access
title: STES

description: &lt;div&gt;The&lt;span style="font-style: italic;"&gt; Short-Term Employment Surveys&lt;/span&gt; (STES) are three statutory, quarterly surveys of private sector businesses. The surveys ask businesses for their number of employees (male/female/full-time/part-time) on a specified date (the second or third Friday of March, June, September or December). Online questionnaires are sent to a sample of approximately 37,000 businesses each quarter. The combined surveys cover all sectors of the private sector economy and all industries in England, Scotland and Wales (Great Britain) with the exception of 'agriculture, forestry and fishing' and 'private households'. Northern Ireland businesses are not approached via STES. The STES data feeds into the quarterly &lt;a href="https://www.ons.gov.uk/search?q=workforce+jobs" target="_blank"&gt;UK Workforce Jobs&lt;/a&gt; estimates published by the Office for National Statistics.&lt;br&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 Inter-Departmental Business Register (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;br&gt;&lt;br&gt;&lt;span style="font-style: italic;"&gt;Latest edition information&lt;/span&gt;&lt;br&gt;For the fourteenth edition (September 2025), new Construction Survey, Monthly Business Survey and Quarterly Business Survey data files have been added for December 2024 and the September 2024 files have also been revised.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;
DOI: 10.5255/ukda-sn-8913-1
title: UK Gross Value Added for Lower Layer Super Output Areas, 1998-2019: Secure Access

description: &lt;p&gt;Gross Value Added (GVA) measures the contribution to the economy of each individual producer, industry or sector. It is the value of the amount of goods and services that have been produced, less the cost of all inputs and raw materials that are directly attributable to that production.&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;GVA estimates have been produced as part of the Office for National Statistics' flexible geography project, which aims to produce economic statistics for small geographic areas. These estimates can then be aggregated in a flexible way, allowing users to create their own geographies.&lt;/p&gt;&lt;p&gt;The dataset is made by apportioning total GVA at Local Authority level to lower-level geographies [Lower Layer Super Output Areas (LSOAs) in England and Wales, Data Zones in Scotland and Super Output Areas in Northern Ireland] for the period 1998 to 2019. The lower-level geographies data form the small building blocks that can be aggregated flexibly to larger areas including Middle Layer Super Output Areas, Parliamentary Constituencies, Travel-to-Work areas, Health Boards, and towns. The building blocks enable users to build bespoke areas for analysis. The breaking down of GVA to lower-level geographies is the first time such granularity has been achieved and represents a significant improvement which allows the construction of much more detailed geographic areas. &lt;br&gt;&lt;/p&gt;&lt;p&gt;&lt;/p&gt;
DOI: 10.25346/s6eecgix/mwqadh
title: msXV_128r_15_12.jpg
DOI: 10.15468/dl.gxnwqs
title: Occurrence Download

description: A dataset containing 23350 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "DatasetKey is one of (NABU|naturgucker, EOD – eBird Observation Dataset, Observation.org, Nature data from around the World, ArtenFinder, iNaturalist Research-grade Observations)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Psittacula krameri (Scopoli, 1769), Psittacula eupatria (Linnaeus, 1766))"
 ]
}

 The dataset includes 23350 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004864-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wr5b3f
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Craugastor uno (Savage, 1985)"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047786-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n4pxtt
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Fort Hays State University Sternberg Museum of Natural History - Vertebrate",
 "Formation is Niobrara",
 "Member is Smoky Hill",
 "TaxonKey is Xiphactinus audax (Leidy, 1870)"
 ]
}

 The dataset includes 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037855-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.65oglq
title: Occurrence Download

description: A dataset containing 8907 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Empidonax occidentalis Nelson, 1897"
 ]
}

 The dataset includes 8907 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007538-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6r38yc
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Eleutherodactylus parapelates Hedges & Thomas, 1987"
 ]
}

 The dataset includes 15 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047804-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5vtyj6
title: Occurrence Download

description: A dataset containing 1318 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elaphoglossum macropodium (Fée) T.Moore"
 ]
}

 The dataset includes 1318 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037859-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gotmbj
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panisus michaeli Koenike, 1896"
 ]
}

 The dataset includes 69 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007558-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p64zu7
title: Occurrence Download

description: A dataset containing 304237 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2013-2024"
 ]
}

 The dataset includes 304237 records from 356 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001537-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hqr22v
title: Occurrence Download

description: A dataset containing 1068 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is one of (Chinese Taipei, China, Hong Kong)",
 "TaxonKey is Dendrolimus Germar, 1812"
 ]
}

 The dataset includes 1068 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037674-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.essk3z
title: Occurrence Download

description: A dataset containing 2445 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "Geometry POLYGON((-79.32129 -57.04102,-63.3252 -55.98633,-65.1709 -15.82031,-78.17871 -15.82031,-79.32129 -57.04102))",
 "TaxonKey is Apidae"
 ]
}

 The dataset includes 2445 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007550-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jykmam
title: Occurrence Download

description: A dataset containing 28219 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Musaceae)"
 ]
}

 The dataset includes 28219 records from 577 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037675-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6ywjg
title: Occurrence Download

description: A dataset containing 1814 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Tapirus pinchaque (Roulin, 1829)"
 ]
}

 The dataset includes 1814 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047788-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3rs3dd
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panisopsis vigilans (Piersig, 1896)"
 ]
}

 The dataset includes 18 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007547-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3kbupv
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fimbristylis jindoensis Jong H.Kim & M.Kim"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000451-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fxbkrk
title: Occurrence Download

description: A dataset containing 165 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elaphoglossum lastii (Baker) C.Chr."
 ]
}

 The dataset includes 165 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037786-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zeae81
title: Occurrence Download

description: A dataset containing 8907 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Empidonax occidentalis Nelson, 1897"
 ]
}

 The dataset includes 8907 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007559-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g8qj6t
title: Occurrence Download

description: A dataset containing 3180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Tabanidae"
 ]
}

 The dataset includes 3180 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001548-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.me3dyt
title: Occurrence Download

description: A dataset containing 484 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "GadmGid is CHN.15.4_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia",
 "Year 2014-2024"
 ]
}

 The dataset includes 484 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037723-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7orm0r
title: Occurrence Download

description: A dataset containing 3508 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Empidonax affinis (Swainson, 1827)"
 ]
}

 The dataset includes 3508 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007556-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q8vzuv
title: Occurrence Download

description: A dataset containing 901 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Talegalla fuscirostris Salvadori, 1877"
 ]
}

 The dataset includes 901 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037724-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hg4qgp
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Costasiella usagi Ichikawa, 1993",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 125 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047803-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.