cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5gzmkz
title: Occurrence Download

description: A dataset containing 16862 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Occurrence evidence)",
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "TaxonKey is Dasypus novemcinctus Linnaeus, 1758"
 ]
}

 The dataset includes 16862 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017871-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eq5ts3
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-79.14252 43.0512,-79.13446 43.0512,-79.13446 43.05836,-79.14252 43.05836,-79.14252 43.0512))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 81 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017872-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6wyuur
title: Occurrence Download

description: A dataset containing 365 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lontra longicaudis (Olfers, 1818)"
 ]
}

 The dataset includes 365 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017870-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.szbdas
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mytilopsis sallei (Récluz, 1849)",
 "Country is Australia",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017873-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6jk7xd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mytilopsis trautwineana (Tryon, 1866)",
 "Country is Colombia",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017874-241107131044228/datasets/export for details.
DOI: 10.15468/dl.982r54
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cerotainia albipilosa Curran, 1930"
 ]
}

 The dataset includes 89 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017875-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qvnr3y
title: Occurrence Download

description: A dataset containing 16862 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Occurrence evidence, Human Observation)",
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "TaxonKey is Dasypus novemcinctus Linnaeus, 1758"
 ]
}

 The dataset includes 16862 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017876-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vd2rnn
title: Occurrence Download

description: A dataset containing 36617300 species occurrences available in GBIF matching the query:
{
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 36617300 records from 4459 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017866-241107131044228/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-6163-1
title: Quarterly Labour Force Survey Eurostat Dataset, Quarter One, 2001
title: Quarterly Labour Force Survey Eurostat Datasets, 1999-
title: EU LFS

description: The &lt;i&gt;Quarterly Labour Force Survey Eurostat Datasets&lt;/i&gt; form the UK component of the &lt;i&gt;European Union Labour Force Survey&lt;/i&gt; (EU LFS), and consist of a subset of core variables from the UK Quarterly Labour Force Survey (held at the UK Data Archive under GN 33246), alongside primary and secondary derived variables computed by Eurostat from the core variables supplied. The data comprise seasonal or calendar quarters, depending on the date, and are not directly comparable with the UK QLFS quarters. Annual EU LFS datasets from 1999 onwards are also available (see under GN 33399) and 'ad hoc' modules (run each year to supplement the information from the core EU LFS questionnaire) are available from 2002 onwards (see under GN 33400). &lt;br&gt;
&lt;br&gt;
Users should note that the LFS Eurostat datasets available from the UK Data Archive comprise UK data only, and no data from other EU countries are included here. Further information about the EU LFS can be found on the Eurostat &lt;a href="http://ec.europa.eu/eurostat/statistics-explained/index.php/EU_labour_force_survey" title="EU Labour Force Survey"&gt;EU Labour Force Survey&lt;/a&gt; webpage.&lt;br&gt;
&lt;br&gt;
The UK Labour Force Survey (LFS) is a unique source of articulated information using international definitions of employment and unemployment and economic inactivity, together with a wide range of related topics such as occupation, training, hours of work and personal characteristics of household members aged 16 years and over. The first LFS was conducted in 1973 and continues to be one of the reasons for carrying out the survey. Eurostat co-ordinates information from labour force surveys in the European Union (EU) member states in order to assist the EU in such matters as the allocation of the Social Fund. Between 1984 and 1991 the survey was carried out annually, and moved to a quarterly cycle (the QLFS) from May 1992. Further information may be found in the main LFS documentation (see link below).&lt;br&gt;
&lt;br&gt;
&lt;b&gt;LFS Documentation (main LFS)&lt;/b&gt;&lt;br&gt;
Besides the EU LFS documentation (see below), documentation is also available to accompany the main UK LFS datasets available from the Archive. This largely consists of the latest version of each document alongside the appropriate questionnaire for the year concerned. However, LFS documentation volumes are updated periodically by ONS, so users are advised to check the ONS &lt;a href="http://www.ons.gov.uk/ons/guide-method/method-quality/specific/labour-market/labour-market-statistics/index.html" title="LFS User Guidance"&gt;LFS User Guidance&lt;/a&gt; pages before commencing analysis.&lt;br&gt;
&lt;br&gt;
DOI: 10.5255/ukda-sn-6164-1
title: Quarterly Labour Force Survey Eurostat Dataset, Quarter Two, 2001
title: Quarterly Labour Force Survey Eurostat Datasets, 1999-
title: EU LFS

description: The &lt;i&gt;Quarterly Labour Force Survey Eurostat Datasets&lt;/i&gt; form the UK component of the &lt;i&gt;European Union Labour Force Survey&lt;/i&gt; (EU LFS), and consist of a subset of core variables from the UK Quarterly Labour Force Survey (held at the UK Data Archive under GN 33246), alongside primary and secondary derived variables computed by Eurostat from the core variables supplied. The data comprise seasonal or calendar quarters, depending on the date, and are not directly comparable with the UK QLFS quarters. Annual EU LFS datasets from 1999 onwards are also available (see under GN 33399) and 'ad hoc' modules (run each year to supplement the information from the core EU LFS questionnaire) are available from 2002 onwards (see under GN 33400). &lt;br&gt;
&lt;br&gt;
Users should note that the LFS Eurostat datasets available from the UK Data Archive comprise UK data only, and no data from other EU countries are included here. Further information about the EU LFS can be found on the Eurostat &lt;a href="http://ec.europa.eu/eurostat/statistics-explained/index.php/EU_labour_force_survey" title="EU Labour Force Survey"&gt;EU Labour Force Survey&lt;/a&gt; webpage.&lt;br&gt;
&lt;br&gt;
The UK Labour Force Survey (LFS) is a unique source of articulated information using international definitions of employment and unemployment and economic inactivity, together with a wide range of related topics such as occupation, training, hours of work and personal characteristics of household members aged 16 years and over. The first LFS was conducted in 1973 and continues to be one of the reasons for carrying out the survey. Eurostat co-ordinates information from labour force surveys in the European Union (EU) member states in order to assist the EU in such matters as the allocation of the Social Fund. Between 1984 and 1991 the survey was carried out annually, and moved to a quarterly cycle (the QLFS) from May 1992. Further information may be found in the main LFS documentation (see link below).&lt;br&gt;
&lt;br&gt;
&lt;b&gt;LFS Documentation (main LFS)&lt;/b&gt;&lt;br&gt;
Besides the EU LFS documentation (see below), documentation is also available to accompany the main UK LFS datasets available from the Archive. This largely consists of the latest version of each document alongside the appropriate questionnaire for the year concerned. However, LFS documentation volumes are updated periodically by ONS, so users are advised to check the ONS &lt;a href="http://www.ons.gov.uk/ons/guide-method/method-quality/specific/labour-market/labour-market-statistics/index.html" title="LFS User Guidance"&gt;LFS User Guidance&lt;/a&gt; pages before commencing analysis.&lt;br&gt;
&lt;br&gt;
DOI: 10.5255/ukda-sn-6165-1
title: Quarterly Labour Force Survey Eurostat Dataset, Quarter Three, 2001
title: Quarterly Labour Force Survey Eurostat Datasets, 1999-
title: EU LFS

description: The &lt;i&gt;Quarterly Labour Force Survey Eurostat Datasets&lt;/i&gt; form the UK component of the &lt;i&gt;European Union Labour Force Survey&lt;/i&gt; (EU LFS), and consist of a subset of core variables from the UK Quarterly Labour Force Survey (held at the UK Data Archive under GN 33246), alongside primary and secondary derived variables computed by Eurostat from the core variables supplied. The data comprise seasonal or calendar quarters, depending on the date, and are not directly comparable with the UK QLFS quarters. Annual EU LFS datasets from 1999 onwards are also available (see under GN 33399) and 'ad hoc' modules (run each year to supplement the information from the core EU LFS questionnaire) are available from 2002 onwards (see under GN 33400). &lt;br&gt;
&lt;br&gt;
Users should note that the LFS Eurostat datasets available from the UK Data Archive comprise UK data only, and no data from other EU countries are included here. Further information about the EU LFS can be found on the Eurostat &lt;a href="http://ec.europa.eu/eurostat/statistics-explained/index.php/EU_labour_force_survey" title="EU Labour Force Survey"&gt;EU Labour Force Survey&lt;/a&gt; webpage.&lt;br&gt;
&lt;br&gt;
The UK Labour Force Survey (LFS) is a unique source of articulated information using international definitions of employment and unemployment and economic inactivity, together with a wide range of related topics such as occupation, training, hours of work and personal characteristics of household members aged 16 years and over. The first LFS was conducted in 1973 and continues to be one of the reasons for carrying out the survey. Eurostat co-ordinates information from labour force surveys in the European Union (EU) member states in order to assist the EU in such matters as the allocation of the Social Fund. Between 1984 and 1991 the survey was carried out annually, and moved to a quarterly cycle (the QLFS) from May 1992. Further information may be found in the main LFS documentation (see link below).&lt;br&gt;
&lt;br&gt;
&lt;b&gt;LFS Documentation (main LFS)&lt;/b&gt;&lt;br&gt;
Besides the EU LFS documentation (see below), documentation is also available to accompany the main UK LFS datasets available from the Archive. This largely consists of the latest version of each document alongside the appropriate questionnaire for the year concerned. However, LFS documentation volumes are updated periodically by ONS, so users are advised to check the ONS &lt;a href="http://www.ons.gov.uk/ons/guide-method/method-quality/specific/labour-market/labour-market-statistics/index.html" title="LFS User Guidance"&gt;LFS User Guidance&lt;/a&gt; pages before commencing analysis.&lt;br&gt;
&lt;br&gt;
DOI: 10.5255/ukda-sn-6166-1
title: Quarterly Labour Force Survey Eurostat Dataset, Quarter Four, 2001
title: Quarterly Labour Force Survey Eurostat Datasets, 1999-
title: EU LFS

description: The &lt;i&gt;Quarterly Labour Force Survey Eurostat Datasets&lt;/i&gt; form the UK component of the &lt;i&gt;European Union Labour Force Survey&lt;/i&gt; (EU LFS), and consist of a subset of core variables from the UK Quarterly Labour Force Survey (held at the UK Data Archive under GN 33246), alongside primary and secondary derived variables computed by Eurostat from the core variables supplied. The data comprise seasonal or calendar quarters, depending on the date, and are not directly comparable with the UK QLFS quarters. Annual EU LFS datasets from 1999 onwards are also available (see under GN 33399) and 'ad hoc' modules (run each year to supplement the information from the core EU LFS questionnaire) are available from 2002 onwards (see under GN 33400). &lt;br&gt;
&lt;br&gt;
Users should note that the LFS Eurostat datasets available from the UK Data Archive comprise UK data only, and no data from other EU countries are included here. Further information about the EU LFS can be found on the Eurostat &lt;a href="http://ec.europa.eu/eurostat/statistics-explained/index.php/EU_labour_force_survey" title="EU Labour Force Survey"&gt;EU Labour Force Survey&lt;/a&gt; webpage.&lt;br&gt;
&lt;br&gt;
The UK Labour Force Survey (LFS) is a unique source of articulated information using international definitions of employment and unemployment and economic inactivity, together with a wide range of related topics such as occupation, training, hours of work and personal characteristics of household members aged 16 years and over. The first LFS was conducted in 1973 and continues to be one of the reasons for carrying out the survey. Eurostat co-ordinates information from labour force surveys in the European Union (EU) member states in order to assist the EU in such matters as the allocation of the Social Fund. Between 1984 and 1991 the survey was carried out annually, and moved to a quarterly cycle (the QLFS) from May 1992. Further information may be found in the main LFS documentation (see link below).&lt;br&gt;
&lt;br&gt;
&lt;b&gt;LFS Documentation (main LFS)&lt;/b&gt;&lt;br&gt;
Besides the EU LFS documentation (see below), documentation is also available to accompany the main UK LFS datasets available from the Archive. This largely consists of the latest version of each document alongside the appropriate questionnaire for the year concerned. However, LFS documentation volumes are updated periodically by ONS, so users are advised to check the ONS &lt;a href="http://www.ons.gov.uk/ons/guide-method/method-quality/specific/labour-market/labour-market-statistics/index.html" title="LFS User Guidance"&gt;LFS User Guidance&lt;/a&gt; pages before commencing analysis.&lt;br&gt;
&lt;br&gt;
DOI: 10.5255/ukda-sn-6168-2
title: World Bank Africa Development Indicators, 1960-2011
title: ADI

description: The &lt;i&gt;World Bank Africa Development Indicators&lt;/i&gt; (ADI) provided annual time series data for over 1,400 indicators. No further updates of this database are currently planned. Topics covered by the extensive database include national accounts, balance of payments, trade, prices, government finance and external debt with data on household welfare (from the Survey-based Harmonized Indicators Program), demography, health, education, the regulatory environment, communications, transport, energy and the environment. The ADI data cover the period 1960 to 2011 for countries and regional country groups. See the &lt;a href="https://stats.ukdataservice.ac.uk/World-Development-Indicators" title="World Development Indicators" target="_blank"&gt;World Development Indicators&lt;/a&gt; for more recent data on Africa.&lt;br&gt;
DOI: 10.5255/ukda-sn-6171-1
title: Warmwater Fish Production as a Niche Production and Market Diversification Strategy for Organic Arable Farmers, 2005-2007
title: Warm Water Fish Production as a Diversification Strategy for Arable Farmers

description: &lt;p&gt;This is a mixed method dataset. The study is part of the Rural Economy and Land Use (RELU) programme.&lt;br&gt; &lt;br&gt;The research developed a small scale, warmwater production system for growing the fish, tilapia, as a diversification strategy for UK agricultural and arable farmers. A multidisciplinary approach incorporating Marketing, Public Health, Aquaculture and Entrepreneurial perspectives shaped the research which developed a "green" production system for this fish. The system utilises on-farm resources and simplified technology which can be readily adopted as a sustainable and practical approach for farmers unfamiliar with fish production, while niche market opportunities for tilapia were explored, public health and sustainability implications considered and a better understanding of the challenges that face UK farmers was gained. Research techniques used mixed methods drawn from qualitative, quantitative and case study approaches from all the disciplines involved.&lt;br&gt; &lt;br&gt;Further information for this study may be found through the &lt;a href="https://www.researchcatalogue.esrc.ac.uk/grants/RES-224-25-0066/read" target="_blank"&gt;ESRC Research Catalogue webpage: Warmwater Fish Production as a Niche Production and Market Diversification Strategy for Organic Arable Farmers.&lt;/a&gt;&lt;a href="https://www.researchcatalogue.esrc.ac.uk/grants/RES-224-25-0066/read" target="_blank" style=""&gt;&lt;/a&gt;&lt;br&gt; &lt;/p&gt;
DOI: 10.5255/ukda-sn-6172-1
title: Implications of a Nutrition-Driven Food Policy for the Countryside, 2005-2008
title: Implications of a Nutrition Driven Food Policy for Land Use and the Rural Environment

description: &lt;p&gt;This is a mixed method data collection. The study is part of the Rural Economy and Land Use (RELU) programme.&lt;br&gt; &lt;br&gt;The objectives of the research were to examine the effectiveness of policies designed to promote healthy eating; to examine the potential for the development of sustainable UK food chains capable of delivering healthier foods that consumers wish to buy at prices they are willing to pay; and to assess the impacts of such developments on human health, rural land use, employment and the rural environment. Policies to promote healthy eating may create shifts in people’s consumption patterns that may lead to significant changes in agricultural regimes and land use patterns, which in turn may have a widespread effect on landscapes, farmland biodiversity and rural employment.&lt;br&gt; &lt;br&gt;The researchers looked at the most effective ways to encourage consumers to eat more healthily, whether by fiscal measures - taxes on foods high in saturated fats combined with subsidies on fruit and vegetables - and the promotion of healthy eating by advertising through social marketing, or by trying to enhance the nutritional qualities of the foods that people eat. The research follows an integrated food chain approach and looked into two case studies - flavonoids in soft fruit and lettuce and saturated fatty acids in lamb meat - to determine whether production methods can make a difference to food composition and whether consumers would be willing to pay more for healthier food. It was found that use of novel UV plastic film in poly-tunnels could help to enhance the flavonoid and antioxidant capacity of vegetables, whilst it had no effect on flavonoids in soft fruit. Grazing sheep on biodiverse pastures seems to have a beneficial effect on the fatty acid profiles of the lamb produced. Focus groups and choice experiments show consumers are prepared to pay the extra production costs.&lt;br&gt; &lt;br&gt;Scenarios of the impact of healthier eating used a land use allocation model and input-output models. Implications scenarios for the countryside would be that areas dependent on livestock production would decline, creating unemployment, movements of population, and fewer, but larger, farms. Intensive horticulture in east and south-east England would increase, with more poly-tunnels and water consumption, but no growth in employment.&lt;br&gt; &lt;br&gt;Further information for this study may be found through the &lt;a href="https://www.researchcatalogue.esrc.ac.uk/grants/RES-224-25-0073/read" target="_blank"&gt;ESRC Research Catalogue webpage: Implications of a Nutrition Driven Food Policy for Land Use and the Rural Environment.&lt;/a&gt;&lt;a href="https://www.researchcatalogue.esrc.ac.uk/grants/RES-224-25-0073/read" target="_blank" style=""&gt;&lt;/a&gt;&lt;br&gt; &lt;/p&gt;
DOI: 10.5255/ukda-sn-6173-1
title: Student Perceptions and Experiences of Quantitative Methods, 2006

description: This ESRC funded research study aimed to collect national level data on student attitudes toward quantitative methods which would provide reliable and valid description of student perceptions of and attitudes towards quantitative methods in sociology and political science. The survey consisted of an online self-completion questionnaire which was administered in English and Welsh to higher education institutions (HEIs) students in their second or third year of a three-year undergraduate degree. A random sample of 34 institutions offering major/single honours degrees in sociology or politics were selected. The sampling units were in both old and new universities and university colleges. &lt;br&gt; &lt;br&gt; Further information about the study can be found on the &lt;a href="http://www.esrcsocietytoday/esrcinfocentre/viewawardpage.aspx?awardnumber=RES-000-22-1290" title =ESRC award"&gt;ESRC Award&lt;/a&gt; web page.&lt;br&gt;