cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5255/ukda-sn-5838-1
title: Farm Business Survey, 2006-2007: Special Licence Access
title: Farm Business Survey, 1982- : Special Licence Access

description: &lt;p&gt;The &lt;span style="font-style: italic;"&gt;Farm Business Survey&lt;/span&gt; (FBS) is conducted annually to collect business information from about 2,100 farms in England and Wales. The survey provides information on the financial position and physical and economic performance of farm businesses, to inform policy decisions on matters affecting farm businesses and to enable analysis of the impacts of policy options. It is intended to serve the needs of farmers, farming and land management interest groups, government (both national and European), government partners, and researchers. &lt;/p&gt;&lt;p&gt;The primary objective of survey results is to contrast the performance or other business characteristics of different groupings of farm, such as between regions or other geographical or environmental designations, farm types, farm size, age or education of farmer, etc. Up to and including the 2001/02 survey, FBS estimates were based on matching the sample between two adjacent years and farm weights. Farm weights were still calculated to present a matched sample however. From the 2002/03 survey onwards, matching between adjacent years was dropped altogether, and weights are now calculated for the full sample. &lt;/p&gt;&lt;p&gt;The typology used to determine the FBS farm type classification has been revised from 2009 onwards. The FBS typology is now based on standard outputs expressed in euros, with a minimum threshold of 25,000 euro (irrespective of the SLR) for FBS eligibility. Between 2009 and 2011, FBS farm type classification was based on 2007 standard output (SO) coefficients. From 2012, the farm type classification was based on 2010 SO coefficients, and from 2017 the FBS farm type classification was based on 2013 SO coefficients. The coefficients have been revised again for 2023/24 and are based on 2017 coefficients. The change in typology has had an effect on the distribution of farms by farm type and income averages. Further information regarding the change in typology is available on the GOV.UK &lt;a href="https://www.gov.uk/guidance/farm-business-survey-technical-notes-and-guidance#fbs-documents"&gt;FBS documents&lt;/a&gt; web page.&lt;/p&gt;&lt;p&gt;
The &lt;i&gt;Farm Business Survey&lt;/i&gt; is available from UKDS under Special Licence access conditions. See the' Access data' section for further details on how to apply for access to the data.&lt;br&gt;
&lt;br&gt;
&lt;/p&gt; August 2008: the UKDA are currently awaiting deposit of section M data for survey years 2004/05 to 2006/07. Although a peripheral analysis of 'Section O' has been published on the Defra statistics website, Defra are not yet in a position to fully release these data. Sections P and R remain unpublished and are still not available for release.&lt;br&gt;
&lt;br&gt;
DOI: 10.5255/ukda-sn-5996-1
title: Survey of Personal Incomes, 2005-2006: Public Use Tape
title: Survey of Personal Incomes, 1985-
title: SPI

description: The &lt;em&gt;Survey of Personal Incomes&lt;/em&gt; (SPI) is based on information held by HM Revenue and Customs tax offices on individuals who could be liable to UK income tax. It is carried out annually by HMRC and covers income assessable to tax for each tax year. Not all of them are taxpayers because the operation of personal reliefs and allowances may remove them from liability. Where income exceeds the threshold for operation of Pay-As-You-Earn (PAYE), the survey provides the most comprehensive and accurate official source of data on personal incomes. &lt;br&gt; &lt;br&gt; The SPI is compiled to provide a quantified evidence base from which to cost proposed changes to tax rates, personal allowances and other tax reliefs for Treasury Ministers. It is used to inform policy decisions within HMRC and the Treasury, as well as for tax modelling and forecasting purposes. In addition, it is used to provide summary information for the National Accounts that are prepared by the Office for National Statistics. Finally, it is used to provide information to Members of Parliament, other Government Departments, companies, organisation and individuals.&lt;br&gt; &lt;br&gt; The UK Data Archive currently holds the Public Use Tape (PUT) data for 1985-86 and 1995-96 onwards (data for 2008-09 is currently unavailable). For further details of sampling and coverage criteria, see documentation. Further information about the SPI, including income tax and personal incomes statistics, is available on the GOV.UK &lt;a title="Statistics about personal incomes" href="https://www.gov.uk/government/collections/personal-incomes-statistics"&gt;Statistics about personal incomes&lt;/a&gt; webpage.&lt;br&gt;
&lt;br&gt;
DOI: 10.5255/ukda-sn-6144-1
title: Farm Business Survey, 2007-2008: Special Licence Access
title: Farm Business Survey, 1982- : Special Licence Access

description: &lt;p&gt;The &lt;span style="font-style: italic;"&gt;Farm Business Survey&lt;/span&gt; (FBS) is conducted annually to collect business information from about 2,100 farms in England and Wales. The survey provides information on the financial position and physical and economic performance of farm businesses, to inform policy decisions on matters affecting farm businesses and to enable analysis of the impacts of policy options. It is intended to serve the needs of farmers, farming and land management interest groups, government (both national and European), government partners, and researchers. &lt;/p&gt;&lt;p&gt;The primary objective of survey results is to contrast the performance or other business characteristics of different groupings of farm, such as between regions or other geographical or environmental designations, farm types, farm size, age or education of farmer, etc. Up to and including the 2001/02 survey, FBS estimates were based on matching the sample between two adjacent years and farm weights. Farm weights were still calculated to present a matched sample however. From the 2002/03 survey onwards, matching between adjacent years was dropped altogether, and weights are now calculated for the full sample. &lt;/p&gt;&lt;p&gt;The typology used to determine the FBS farm type classification has been revised from 2009 onwards. The FBS typology is now based on standard outputs expressed in euros, with a minimum threshold of 25,000 euro (irrespective of the SLR) for FBS eligibility. Between 2009 and 2011, FBS farm type classification was based on 2007 standard output (SO) coefficients. From 2012, the farm type classification was based on 2010 SO coefficients, and from 2017 the FBS farm type classification was based on 2013 SO coefficients. The coefficients have been revised again for 2023/24 and are based on 2017 coefficients. The change in typology has had an effect on the distribution of farms by farm type and income averages. Further information regarding the change in typology is available on the GOV.UK &lt;a href="https://www.gov.uk/guidance/farm-business-survey-technical-notes-and-guidance#fbs-documents"&gt;FBS documents&lt;/a&gt; web page.&lt;/p&gt;&lt;p&gt;
The &lt;i&gt;Farm Business Survey&lt;/i&gt; is available from UKDS under Special Licence access conditions. See the' Access data' section for further details on how to apply for access to the data.&lt;br&gt;
&lt;br&gt;
&lt;/p&gt; For the third edition (August 2010), an updated version of the database was deposited containing some sections not previously released by DEFRA, and some sections revised to cover a larger number of farms in both England and Wales: section L covers energy use on a sample of 500 farms across England, section M covers gross and net margins, section N covers household income, section O covers business management practices (England) and environment (Wales) and section R covers tenanted land. However, the previously withheld sections A, I and J are still not included.&lt;br&gt;
DOI: 10.5281/zenodo.18026555
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by François Sumichrast, http://www.wikidata.org/entity/Q21341126. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21341126
DOI: 10.5255/ukda-sn-6251-1
title: Survey of Personal Incomes, 2006-2007: Public Use Tape
title: Survey of Personal Incomes, 1985-
title: SPI

description: The &lt;em&gt;Survey of Personal Incomes&lt;/em&gt; (SPI) is based on information held by HM Revenue and Customs tax offices on individuals who could be liable to UK income tax. It is carried out annually by HMRC and covers income assessable to tax for each tax year. Not all of them are taxpayers because the operation of personal reliefs and allowances may remove them from liability. Where income exceeds the threshold for operation of Pay-As-You-Earn (PAYE), the survey provides the most comprehensive and accurate official source of data on personal incomes. &lt;br&gt; &lt;br&gt; The SPI is compiled to provide a quantified evidence base from which to cost proposed changes to tax rates, personal allowances and other tax reliefs for Treasury Ministers. It is used to inform policy decisions within HMRC and the Treasury, as well as for tax modelling and forecasting purposes. In addition, it is used to provide summary information for the National Accounts that are prepared by the Office for National Statistics. Finally, it is used to provide information to Members of Parliament, other Government Departments, companies, organisation and individuals.&lt;br&gt; &lt;br&gt; The UK Data Archive currently holds the Public Use Tape (PUT) data for 1985-86 and 1995-96 onwards (data for 2008-09 is currently unavailable). For further details of sampling and coverage criteria, see documentation. Further information about the SPI, including income tax and personal incomes statistics, is available on the GOV.UK &lt;a title="Statistics about personal incomes" href="https://www.gov.uk/government/collections/personal-incomes-statistics"&gt;Statistics about personal incomes&lt;/a&gt; webpage.&lt;br&gt;
&lt;br&gt;
DOI: 10.15468/dl.fkrq7c
title: Occurrence Download

description: A dataset containing 691 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen, Occurrence evidence)",
 "Country is Philippines",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Penelopides panini",
 "Year 1990-2025"
 ]
}

 The dataset includes 691 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063461-251120083545085/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-6299-1
title: European Quality of Life Survey, 2007
title: European Quality of Life Survey
title: EQLS

description:     Carried out every four years, the &lt;i&gt;European Quality of Life Survey&lt;/i&gt; (EQLS) examines both the objective circumstances of European citizens' lives and how they feel about those circumstances and their lives in general. It collects data on a range of issues, such as employment, income, education, housing, family, health and work-life balance. It also looks at subjective topics, such as people's levels of happiness, life satisfaction, and perceived quality of society. By running the survey regularly, it has also become possible to track key trends in the quality of people's lives over time. Previous surveys have shown, for instance, that people are having greater difficulty making ends meet since the economic crisis began. In many countries, they also feel that there is now more tension between people from different ethnic groups. And across Europe, people now trust their governments less than they did before. However, people still continue to get the greatest satisfaction from their family life and personal relationships. &lt;br&gt;
&lt;br&gt;
Over the years, the EQLS has developed into a valuable set of indicators which complements traditional indicators of economic growth and living standard such as GDP or income. The EQLS indicators are more inclusive of environmental and social aspects of progress and therefore are easily integrated into the decision-making process and taken up by public debate at EU and national levels in the European Union. &lt;br&gt;
&lt;br&gt;
In each wave a sample of adult population has been selected randomly for a face to face interview. In view of the prospective European enlargements the geographical coverage of the survey has expanded over time from 28 countries in 2003 to 34 countries in 2011-12. &lt;br&gt;
&lt;br&gt;
Further information about the survey can be found on the European Foundation for the Improvement of Living and Working Conditions (Eurofound) &lt;a href="http://www.eurofound.europa.eu/areas/qualityoflife/eqls/index.htm" title ="EQLS"&gt;EQLS&lt;/a&gt; web pages.&lt;br&gt;
DOI: 10.5255/ukda-sn-6378-1
title: Farm Business Survey, 1986-1987: Special Licence Access
title: Farm Business Survey, 1982- : Special Licence Access

description: &lt;p&gt;The &lt;span style="font-style: italic;"&gt;Farm Business Survey&lt;/span&gt; (FBS) is conducted annually to collect business information from about 2,100 farms in England and Wales. The survey provides information on the financial position and physical and economic performance of farm businesses, to inform policy decisions on matters affecting farm businesses and to enable analysis of the impacts of policy options. It is intended to serve the needs of farmers, farming and land management interest groups, government (both national and European), government partners, and researchers. &lt;/p&gt;&lt;p&gt;The primary objective of survey results is to contrast the performance or other business characteristics of different groupings of farm, such as between regions or other geographical or environmental designations, farm types, farm size, age or education of farmer, etc. Up to and including the 2001/02 survey, FBS estimates were based on matching the sample between two adjacent years and farm weights. Farm weights were still calculated to present a matched sample however. From the 2002/03 survey onwards, matching between adjacent years was dropped altogether, and weights are now calculated for the full sample. &lt;/p&gt;&lt;p&gt;The typology used to determine the FBS farm type classification has been revised from 2009 onwards. The FBS typology is now based on standard outputs expressed in euros, with a minimum threshold of 25,000 euro (irrespective of the SLR) for FBS eligibility. Between 2009 and 2011, FBS farm type classification was based on 2007 standard output (SO) coefficients. From 2012, the farm type classification was based on 2010 SO coefficients, and from 2017 the FBS farm type classification was based on 2013 SO coefficients. The coefficients have been revised again for 2023/24 and are based on 2017 coefficients. The change in typology has had an effect on the distribution of farms by farm type and income averages. Further information regarding the change in typology is available on the GOV.UK &lt;a href="https://www.gov.uk/guidance/farm-business-survey-technical-notes-and-guidance#fbs-documents"&gt;FBS documents&lt;/a&gt; web page.&lt;/p&gt;&lt;p&gt;
The &lt;i&gt;Farm Business Survey&lt;/i&gt; is available from UKDS under Special Licence access conditions. See the' Access data' section for further details on how to apply for access to the data.&lt;br&gt;
&lt;br&gt;
&lt;/p&gt; This study was deposited in February 2010 as part of a program to compile older data in the FBS series into MS Access databases, to improve both usability of the older data and compatibility with the later FBS waves, that are already available in MS Access format. These years of data were not previously available from the UKDA.&lt;br&gt;
DOI: 10.5281/zenodo.18026558
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Susan M. Boyetchko, http://www.wikidata.org/entity/Q21390673. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21390673
DOI: 10.5255/ukda-sn-6387-1
title: Farm Business Survey, 2008-2009: Special Licence Access
title: Farm Business Survey, 1982- : Special Licence Access
title: FBS

description: &lt;p&gt;The &lt;span style="font-style: italic;"&gt;Farm Business Survey&lt;/span&gt; (FBS) is conducted annually to collect business information from about 2,100 farms in England and Wales. The survey provides information on the financial position and physical and economic performance of farm businesses, to inform policy decisions on matters affecting farm businesses and to enable analysis of the impacts of policy options. It is intended to serve the needs of farmers, farming and land management interest groups, government (both national and European), government partners, and researchers. &lt;/p&gt;&lt;p&gt;The primary objective of survey results is to contrast the performance or other business characteristics of different groupings of farm, such as between regions or other geographical or environmental designations, farm types, farm size, age or education of farmer, etc. Up to and including the 2001/02 survey, FBS estimates were based on matching the sample between two adjacent years and farm weights. Farm weights were still calculated to present a matched sample however. From the 2002/03 survey onwards, matching between adjacent years was dropped altogether, and weights are now calculated for the full sample. &lt;/p&gt;&lt;p&gt;The typology used to determine the FBS farm type classification has been revised from 2009 onwards. The FBS typology is now based on standard outputs expressed in euros, with a minimum threshold of 25,000 euro (irrespective of the SLR) for FBS eligibility. Between 2009 and 2011, FBS farm type classification was based on 2007 standard output (SO) coefficients. From 2012, the farm type classification was based on 2010 SO coefficients, and from 2017 the FBS farm type classification was based on 2013 SO coefficients. The coefficients have been revised again for 2023/24 and are based on 2017 coefficients. The change in typology has had an effect on the distribution of farms by farm type and income averages. Further information regarding the change in typology is available on the GOV.UK &lt;a href="https://www.gov.uk/guidance/farm-business-survey-technical-notes-and-guidance#fbs-documents"&gt;FBS documents&lt;/a&gt; web page.&lt;/p&gt;&lt;p&gt;
The &lt;i&gt;Farm Business Survey&lt;/i&gt; is available from UKDS under Special Licence access conditions. See the' Access data' section for further details on how to apply for access to the data.&lt;br&gt;
&lt;br&gt;
&lt;/p&gt; For the second edition (February 2011), a new version of the database was deposited, with previously unavailable data from sections M and N included.&lt;br&gt;
DOI: 10.5281/zenodo.8136399
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Susan M. Boyetchko, http://www.wikidata.org/entity/Q21390673. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21390673
DOI: 10.5281/zenodo.18026538
title: Metadata package supporting DOI:10.1051/0004-6361/202452246 (COLAB, NCN OPUS)

description: This record provides a metadata package supporting DOI: 10.1051/0004-6361/202452246. It documents dataset provenance, access conditions, and high-level reproducibility notes.

Primary input data: Copernicus Complexio (COCO) simulations (CDM flavour). Access is consortium-only at the time of this deposit, and the simulation products are not redistributed here. Access contacts: Wojciech A. Hellwing (hellwing@cft.edu.pl, CFT PAN, Warsaw) and Sownak Bose (sownak.bose@durham.ac.uk, ICC Durham University).

Core simulation reference: Hellwing et al. 2016 (COCO CDM, DOI: 10.1093/mnras/stw214). Suite context reference: Bose et al. 2016 (COCO WDM, DOI: 10.1093/mnras/stv2294).

Funding: NCN OPUS COLAB (UMO-2020/39/B/ST9/03494).
DOI: 10.5281/zenodo.18026539
title: Metadata package supporting DOI:10.1051/0004-6361/202452246 (COLAB, NCN OPUS)

description: This record provides a metadata package supporting DOI: 10.1051/0004-6361/202452246. It documents dataset provenance, access conditions, and high-level reproducibility notes.

Primary input data: Copernicus Complexio (COCO) simulations (CDM flavour). Access is consortium-only at the time of this deposit, and the simulation products are not redistributed here. Access contacts: Wojciech A. Hellwing (hellwing@cft.edu.pl, CFT PAN, Warsaw) and Sownak Bose (sownak.bose@durham.ac.uk, ICC Durham University).

Core simulation reference: Hellwing et al. 2016 (COCO CDM, DOI: 10.1093/mnras/stw214). Suite context reference: Bose et al. 2016 (COCO WDM, DOI: 10.1093/mnras/stv2294).

Funding: NCN OPUS COLAB (UMO-2020/39/B/ST9/03494).
DOI: 10.5255/ukda-sn-6446-1
title: European Survey of Enterprises on New and Emerging Risks, 2009
title: European Surveys of Enterprises on New and Emerging Risks, 2009-
title: ESENER

description:   The &lt;i&gt;European Survey of Enterprises on New and Emerging Risks&lt;/i&gt; (ESENER) was conducted by the European Agency for Safety and Health at Work (EU-OSHA). The survey covered organisations in all 27 European Union countries plus Croatia, Turkey, Switzerland and Norway. It questioned both managers and workers' health and safety representatives about the way health and safety risks are managed at their workplace, with a particular focus on psychosocial risks, i.e. work-related stress, violence and harassment. &lt;br&gt;
&lt;br&gt;
Developed with the support of governments and social partners at European level, ESENER aims to assist workplaces across Europe to deal more effectively with health and safety and to provide policy makers with cross-nationally comparable information relevant for the design and implementation of new policies. As well as looking at management practices, ESENER explores in detail how workers are involved in the management of safety and health at work, which is an important factor in the successful implementation of preventive measures at workplace level. The two questionnaires (management representative questionnaire and worker representative questionnaire) were developed by a team comprising experts in survey design and occupational health and safety (OSH), particularly psychosocial risks, together with EU-OSHA staff. In addition, a tripartite Advisory Group, comprising members of EU-OSHA's Governing Board and Bureau, played an important role in identifying useful questions for the Agency's stakeholders.&lt;br&gt;
&lt;br&gt;
More information about the methodology of ESENER is available on the EU-OSHA &lt;a href="http://www.esener.eu" title="ESENER Enterprise Survey"&gt;ESENER&lt;/a&gt; web site.&lt;br&gt;
&lt;br&gt;