cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5255/ukda-sn-7958-3
title: World Bank Subnational Population Database, 2000-2016
title: World Bank SPD

description: &lt;span style="color: rgb(102, 102, 102); font-family: &quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; text-align: justify;"&gt;The Subnational Population Database presents estimated population at the first administrative level below the national level. Many of the data come from the country’s national statistical offices. Other data come from the NASA Socioeconomic Data and Applications Center (SEDAC) managed by the Center for International Earth Science Information Network (CIESIN), Earth Institute, Columbia University. It is the World Bank Group’s first subnational population database at a global level and there are data limitations. Series metadata includes methodology and the assumptions made.&lt;/span&gt;&lt;br&gt; &lt;br&gt;These data were first provided by the UK Data Service in April 2016.&lt;br&gt;
DOI: 10.5255/ukda-sn-7959-1
title: Household Survey for Evaluation of Livelihood and Food Security Initiatives in Lower and Middle Juba Regions, Somalia, 2014
title: Effectiveness Review
title: Livelihoods in Somalia: Impact Evaluation of Community Driven Livelihood and Food Security Initiatives in Lower and Middle Juba Regions; Effectiveness Review Series 2014/15

description: The &lt;I&gt;Household Survey for Evaluation of Livelihood and Food Security Initiatives in Lower and Middle Juba Regions, Somalia, 2014&lt;/I&gt; data were collected by Oxfam GB as part of the organisation's Global Performance Framework. Under this framework, a small number of completed or mature projects are selected at random each year for an evaluation of their impact, known as an Effectiveness Review. This data was used to evaluate the impact of the 'Community Driven Livelihood and Food Security Initiatives (CLFSI)' project which took place in the Lower and Middle Juba Regions of South Somalia between 2010 and 2013. The overall objective of the project was to promote competitive economic initiatives in the regions. Specifically, the project aimed at strengthening the productive capacity of households by improving their production systems ensuring sustainable food security, income generation through food production, rehabilitation of productive assets (e.g. dykes and canals), and asset transfer together with rehabilitation of livestock market. Income-generating activities focused on supporting small-scale traders with cash and support to small household business. The review adopted a quasi-experimental impact evaluation design, which involved comparing households that had been supported by the project with households in neighbouring communities that had similar characteristics in 2009 (as reported in recall questions). In total, 200 project participants from 11 regions and 434 non-participants from 11 regions were interviewed.&lt;br&gt;
&lt;br&gt;
&lt;I&gt;Anonymisation:&lt;/I&gt;&lt;br&gt;
Respondent names have been removed. Community names have been removed and replaced with codes in random order. The following variables have been recoded so as to prevent unique cases that may allow identification of the respondents: household size (capped at 11 members), age (binned in 5-year intervals), size of house (capped at 4+ huts), material of house roof (combined categories) and principal livelihood of household (combined categories).&lt;br&gt;
&lt;br&gt;
DOI: 10.15468/dl.e8mtnh
title: Occurrence Download

description: A dataset containing 31492 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Human Observation",
 "TaxonKey is Castor canadensis",
 "Year is greater than or equal to 2017",
 "Country is one of (United States of America)"
 ]
}

 The dataset includes 31492 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031259-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hmqm7t
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scenedesmus acutus",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031258-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5255/ukda-sn-7962-1
title: Experiences of Mothers and Employers: Pregnancy and Maternity-Related Discrimination and Disadvantage, 2014-2015

description: The Department for Business, Innovation and Skills (BIS) and the Equality and Human Rights Commission (EHRC) commissioned a programme of research to investigate the prevalence and nature of negative experiences and possible discrimination and disadvantage in the workplace among pregnant women at work and new mothers on their return to work. It also explores employer attitudes, approaches and challenges in managing pregnancy and maternity in the workplace.&lt;br&gt; &lt;br&gt; The results are based on survey interviews with 3,254 mothers and 60 follow-up in-depth interviews mothers, as well as 3,034 survey interviews with employers and 49 follow-up in-depth interviews with employers. The research covers the experiences of mothers working while pregnant, on maternity leave and returning to work as the mother of a young baby, and the experiences and views of employers regarding managing employees while pregnant, on maternity leave and returning from maternity leave.&lt;br&gt; &lt;br&gt;
DOI: 10.15468/dl.4m3vgm
title: Occurrence Download

description: A dataset containing 2866 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Análisis de la heterogeneidad ambiental y conectividad de las áreas naturales del sur del Valle de México"
 ]
}

 The dataset includes 2866 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031261-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6eecgix/2hllzb
title: msXL_322v_31_23.tif
DOI: 10.5255/ukda-sn-7963-1
title: Scottish Household Survey, 2013
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: 10.5255/ukda-sn-7964-2
title: Scottish Household Survey, 2014
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; For the second edition (April 2017), an updated version of the social public file was deposited. The MATDEP1 and MATDEP2 variables are no longer present (they were removed from the data in January 2017) and labelling for the HIHSIC3 variable has been revised. The variable HIHSIC3 groups original HIHSIC2 data into fewer categories, and the labels have been adjusted to reflect this. 
&lt;br /&gt;
&lt;br /&gt;
DOI: 10.5255/ukda-sn-7972-1
title: British Election Study, 2015: Face-to-Face Post-Election Survey
title: British Election Studies, 1969-
title: BES

description:   &lt;p&gt;&lt;em&gt;British Election Study&lt;/em&gt; (BES)&lt;br&gt; The BES series constitutes the longest academic series of nationally representative probability sample surveys in the country. Its broad aim is to explore the changing determinants of electoral behaviour in contemporary Britain. The surveys have taken place immediately after every general election since 1964. Since the election series was originated in 1963 by David Butler and 
Donald Stokes under the name of Political Change in Britain, 1963-1970 
(see under GN 33099), it has been under the direction of a number of 
academics over time.&lt;/p&gt;&lt;p&gt;Besides the main election surveys, other datasets have also been 
produced. For example, some studies have included separate sub-samples 
for ethnic minorities and areas such as Scotland and Northern Ireland 
(held  under SNs 681, 3171, 3889, 3891, and 4622), and several 
inter-election panel studies have been undertaken between 1969 and 2001 
that follow the same individuals interviewed in the cross-sectional 
surveys (see SNs 422, 2983, 3888, 4000 4028 and 4620). The 2015 study 
also includes an internet panel which follows a separate sample of 
voters across six separate waves in 2014-2015, and continues forward 
into the next electoral cycle - please see the &lt;a href="http://www.britishelectionstudy.com/data"&gt;British Election Study Data&lt;/a&gt; website for details.&lt;br&gt; &lt;br&gt; The 2015 study was themed &lt;em&gt;Voters in Context&lt;/em&gt; and was designed to help our understanding of long-term political change, and the role of national and sub-national variations in the political and social context in shaping citizens’ attitudes and behaviour. The survey tackles questions concerning key contemporary questions concerning political representation, accountability and engagement, and aims to help explain the fragmentation of party support in 2015. &lt;br&gt; &lt;br&gt; &lt;em&gt;British Election Study 2015 Face-to-Face Post-Election Survey&lt;/em&gt;&lt;br&gt; The BES 2015 Face-to-Face Post-Election Survey is an address-based random probability sample study of eligible voters living in 600 wards in 300 Parliamentary Constituencies in England, Scotland, and Wales; 2,987 people completed the survey. &lt;br&gt; &lt;br&gt; The fieldwork was conducted by GfK between 8 May 2015 and 13 September 2015 and achieved an overall response rate of 55.9%. The face-to-face dataset also includes a self-completion Comparative Study of Electoral Systems (CSES) module that was answered by 1,567 respondents. Full details of the methodology and fieldwork are available in the technical report, and questionnaire details can be found in the codebook.&lt;br&gt;
&lt;/p&gt;
DOI: 10.25346/s6eecgix/n1rm1q
title: msXL_322v_31_22.tif
DOI: 10.5255/ukda-sn-7973-9
title: Longitudinal Small Business Survey, 2015-2023
title: LSBS

description: &lt;p&gt;The&lt;span&gt; &lt;span&gt;Longitudinal Small Business Survey&lt;/span&gt;&lt;/span&gt; (LSBS) is a large-scale telephone survey of small business owners and managers commissioned by the Department for Business and Trade (DBT). This survey is the latest in a series of annual and biennial Small Business Surveys (SBS) dating back to 2003.&lt;/p&gt;
&lt;p&gt;In 2015, the survey methodology changed to include a longitudinal tracking element. A large sample size was recruited in Year One (2015) to establish a panel of businesses to be re-surveyed in subsequent years. This will allow a detailed analysis of how combinations of factors affect business performance.&lt;/p&gt;
&lt;p&gt;The LSBS is intended to:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Improve the understanding of what drives and constrains business performance and growth by addressing evidence gaps relating to the lags between many business activities and associated performance outcomes;&lt;/li&gt;&lt;li&gt;Provide improved data on current business performance and the factors that affect this. The larger survey size will provide more reliable findings for key sub-groups of the business population and in relation to activities such as seeking finance, which are only relevant to part of the sample.&lt;/li&gt;&lt;/ul&gt;
&lt;p&gt;The data available covers all respondents over the course of the six years so far. Further information and research reports are available on the GOV.UK
&lt;a href="https://www.gov.uk/government/collections/small-business-survey-reports"&gt;
Small Business Survey Reports&lt;/a&gt; webpage.&lt;br&gt;
&lt;br&gt;
&lt;span&gt;&lt;span&gt;Controlled (Secure) Access Version&lt;/span&gt;&lt;br&gt;
&lt;/span&gt;A Controlled (Secure) Access version of the LSBS is available from the UK Data Archive, subject to stringent secure access conditions. Extra variables include postcode district, 2-, 3-, and 4-digit SIC codes; and Inter-Departmental Business Register (IDBR) reference numbers for linking to other business surveys. Small Business Survey data files for 2010 and 2012 containing 4-digit SIC codes and IDBR reference numbers are available under SN 6856. Users are strongly advised to check whether the safeguarded version is sufficient for their needs before considering an application for the Controlled (Secure) Access version.&lt;br&gt;
&lt;/p&gt;
&lt;p&gt;&lt;span style="font-weight: bold;"&gt;Latest edition information&lt;/span&gt;&lt;br&gt;
&lt;span&gt;&lt;span&gt;For the ninth edition (December 2024), the data and documentation have been updated to include Year 9 of the survey, completed during 2023-2024.
&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
DOI: 10.5255/ukda-sn-7974-1
title: Employer Perspectives Survey, 2007
title: Employer Perspectives Surveys, 2007-
title: UKCEPS; Skills for the Workplace: Employer Perspectives, 2007

description: The &lt;i&gt;Employer Perspectives Survey&lt;/i&gt; (EPS) is a large scale survey of UK employers across all sectors of the economy and is part of a series of studies historically commissioned by the UK Commission for Employment and Skills (UKCES) to provide robust and reliable labour market information. Following the closure of the UKCES ownership of the survey transferred to the Department for Education (DfE) in late 2016.&lt;br&gt;
&lt;br&gt;
The survey provides a UK-wide picture of how employers are meeting their skills needs, looking both at their engagement with skills and employment services and broader approaches to people development. The &lt;i&gt;Employer Perspectives Survey&lt;/i&gt; is a key customer insight tool for colleges, universities, schools and other providers looking to understand how employers view and engage with the skills system.&lt;br&gt;
&lt;br&gt;
The &lt;i&gt;Employer Perspectives Survey&lt;/i&gt; is intended to complement the &lt;i&gt;Employer Skills Survey&lt;/i&gt; series, which focuses on employer skills demand, skills shortages and training within organisations; the two surveys run in alternate years.&lt;br&gt;
&lt;br&gt;
 The &lt;I&gt;Employer Perspectives Survey, 2007&lt;/I&gt; covered 13,500 employing business establishments across the UK. It provides evidence on a range of issues of importance to the UK Commission on Employment and Skills (UKCES), including: the skills challenges employers face; how they respond to these issues through training practices; their use of and attitudes towards vocational qualifications (VQs); and the organisational practices they adopt which can help them absorb skills and training and how they view Sector Skills Councils (SSCs), which form a key part of the demand-led skills systems. The survey report provides analysis exploring the respondent businesses' experiences and perceptions of key aspects of the skills system across the UK. The survey was conducted between December 2007 and February 2008, before the economic downturn began to bite in the UK. It is important to view the results of the survey in this context.&lt;br&gt;
&lt;br&gt;
Further information about the 2007 survey is available from the archived UKCES &lt;a href="http://webarchive.nationalarchives.gov.uk/20140108090250/http://www.ukces.org.uk/publications/er1-skills-for-workplace-employer-perspectives" title="Skills for the Workplace: Employer Perspectives"&gt;Skills for the Workplace: Employer Perspectives&lt;/a&gt; webpage.&lt;br&gt;
&lt;br&gt;
DOI: 10.15468/dl.9ajt9h
title: Occurrence Download

description: A dataset containing 2284 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Monitoreo de la población de la guacamaya verde en la Reserva de la Biosfera Tehuacán-Cuicatlán"
 ]
}

 The dataset includes 2284 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031260-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6eecgix/roffsy
title: msXL_322v_31_21.tif
DOI: 10.5281/zenodo.15743277
title: Global AI in Synthetic Biology Market 2025 To 2034

description: AI in Synthetic Biology Market Size, Trends and Insights By Technology (Gene Synthesis, Genome Editing, Synthetic Biology Tools, Bioinformatics), By Application (Healthcare & Medicine, Agricultural Biotechnology, Industrial Biotechnology, Environmental Biotechnology), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034.

Reports Description

As per the AI in Synthetic Biology Market conducted by the CMI Team, the global AI in Synthetic Biology Market is expected to record a CAGR of 28.63% from 2025 to 2034. In 2025, the market size is projected to reach a valuation of USD 30.76 Billion. By 2034, the valuation is anticipated to reach USD 192.95 Billion.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=70683
DOI: 10.5281/zenodo.15743276
title: Global AI in Synthetic Biology Market 2025 To 2034

description: AI in Synthetic Biology Market Size, Trends and Insights By Technology (Gene Synthesis, Genome Editing, Synthetic Biology Tools, Bioinformatics), By Application (Healthcare & Medicine, Agricultural Biotechnology, Industrial Biotechnology, Environmental Biotechnology), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034.

Reports Description

As per the AI in Synthetic Biology Market conducted by the CMI Team, the global AI in Synthetic Biology Market is expected to record a CAGR of 28.63% from 2025 to 2034. In 2025, the market size is projected to reach a valuation of USD 30.76 Billion. By 2034, the valuation is anticipated to reach USD 192.95 Billion.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=70683
DOI: 10.15468/dl.tp8cq4
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Beaumontia jerdoniana Wight"
 ]
}

 The dataset includes 31 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047626-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxtufn
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Laticauda colubrina (Schneider, 1799)",
 "Country is India"
 ]
}

 The dataset includes 5 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010548-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dhrpk9
title: Occurrence Download

description: A dataset containing 19096 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-11.38582 26.50469,19.22523 26.50469,19.22523 60.10219,-11.38582 60.10219,-11.38582 26.50469))",
 "TaxonKey is Erica vagans L."
 ]
}

 The dataset includes 19096 records from 227 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037554-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tshq6n
title: Occurrence Download

description: A dataset containing 189 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 Dicaeum tristrami Sharpe, 1884"
 ]
}

 The dataset includes 189 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055588-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.txw1zs
title: Occurrence Download

description: A dataset containing 2252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "TaxonKey is Chasmanthium latifolium (Michx.) H.O.Yates",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2252 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007333-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.