cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5255/ukda-sn-8600-2
title: British Business Census of Entrepreneurs, 1851-1911
title: BBCE

description: &lt;p&gt;The British Business Census of Entrepreneurs, 1851-1911 (BBCE) is a quality-controlled, consistent, and integrated database that is as complete as feasible for all British business proprietors in the period 1851-1911, and aligned to modern definitions used up to the 2011 census. It covers England and Wales for 1851-1911, and Scotland for 1851-1901. It includes as fully as possible all: &lt;strong&gt;&lt;em&gt;Employers &lt;/em&gt;&lt;/strong&gt;(those who employed others); &lt;strong&gt;&lt;em&gt;Sole proprietor own account&lt;/em&gt;&lt;/strong&gt; self-employed (those who employed no-one else); and &lt;strong&gt;&lt;em&gt;Directors of corporations&lt;/em&gt;&lt;/strong&gt; (Limited Companies). BBCE mainly derives from the &lt;em&gt;Integrated Census Microdata (I-CeM)&lt;/em&gt; Project (see SN 7856), to which BBCE is linked via individual RecID; but BBCE also infills missing or truncated data in I-CeM using census transcripts from S&amp;N and coding from CEBs, and also provides entrepreneur data for 1871. BBCE makes available employment status codes for all years 1851-1911, occupational coding to main occupation and portfolios, coding of partnerships and directors, and extracts workforce size where given by employers over 1851-81, and for farmers the acreage occupied. There is data linkage and coding of individuals identifiable in the census who were directors of corporations, together with information on their companies.&lt;/p&gt; &lt;p&gt;Further information may be found on the &lt;a title="BBCE" href="https://www.bbce.uk/"&gt;BBCE&lt;/a&gt; project website.&lt;/p&gt; &lt;p&gt;Publications, working papers and presentations are also regularly updated at the Cambridge Group for the History of Population and Social Structure &lt;a title="Drivers of entrepreneurship and small business" href="https://www.campop.geog.cam.ac.uk/research/projects/driversofentrepreneurship/"&gt;Drivers of entrepreneurship and small business&lt;/a&gt; project website.&lt;/p&gt; &lt;p&gt;The original data producers and copyright holders of I-CeM are Professors K. Schurer and E.J. Higgs, and the original data producer and copyright holder for S&amp;N is Nigel Bayley.&lt;/p&gt;
DOI: 10.5255/ukda-sn-8602-1
title: Domestic Heating Data from the Energy Systems Catapult Living Lab, 2017-2018

description: &lt;p&gt;&lt;/p&gt;
&lt;p class="x_x_x_MsoNormal"&gt;The &lt;span style="font-style: italic;"&gt;Domestic Heating Data from the Energy Systems Catapult Living Lab, 2017-2018&lt;/span&gt; was collected to help the energy industry better understand how people use their heating systems; allowing them to design low carbon products and services that meet the needs of consumers. A range of home heating data was collected by the Home Energy Services Gateway (HESG) from approximately 100 domestic properties in the United Kingdom. &lt;br&gt;&lt;br&gt;Further information about these data can be found on the &lt;a href="https://es.catapult.org.uk/impact/projects/smart-systems-and-heat/" target="_blank" style=""&gt;Smart Systems and Heat Website&lt;/a&gt; and on the &lt;a href="https://es.catapult.org.uk/" target="_blank" style=""&gt;Energy Systems Catapult Website.&lt;/a&gt;&lt;/p&gt;
DOI: 10.25346/s6eecgix/rcmvkl
title: msXV_128r_65_45.tif
DOI: 10.5255/ukda-sn-8606-2
title: British Social Attitudes Survey, 2018
title: British Social Attitudes Survey, 1983-
title: BSA

description: &lt;p&gt;&lt;strong&gt;Background&lt;/strong&gt;&lt;br&gt;The British Social Attitudes (BSA) survey series began in 1983. The series is designed to produce annual measures of attitudinal movements to complement large-scale government surveys that deal largely with facts and behaviour patterns, and the data on party political attitudes produced by opinion polls. One of the BSA's main purposes is to allow the monitoring of patterns of continuity and change, and the examination of the relative rates at which attitudes, in respect of a range of social issues, change over time. Some questions are asked regularly, others less often. Funding for BSA comes from a number of sources (including government departments, the Economic and Social Research Council and other research foundations), but the final responsibility for the coverage and wording of the annual questionnaires rests with NatCen Social Research (formerly Social and Community Planning Research). The BSA has been conducted every year since 1983, except in 1988 and 1992 when core funding was devoted to the British Election Study (BES).&lt;br&gt;&lt;br&gt;Further information about the series and links to publications may be found on the NatCen Social Research &lt;a title="British Social Attitudes" href="https://natcen.ac.uk/flagship-surveys"&gt;British Social Attitudes&lt;/a&gt; webpage.&lt;/p&gt; &lt;p&gt;
&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;The BSA 2018 report, including Key Findings, is available from on the NatCen BSA website:&lt;/p&gt;&lt;p&gt;Curtice, J., Clery, E., Perry, J., Phillips M. and Rahim, N. (eds.) (2019),&lt;br&gt;&lt;a title="British Social Attitudes: The 36th Report" href="https://www.bsa.natcen.ac.uk/latest-report/british-social-attitudes-36/key-findings.aspx"&gt;&lt;em&gt;British Social Attitudes: The 36th Report&lt;/em&gt;&lt;/a&gt;, London: The National Centre for Social Research&lt;/p&gt;&lt;p&gt;

&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Latest edition information&lt;br&gt;&lt;/strong&gt;For the second edition (February 2021) four equivalised income variables have been added to the dataset.&lt;/p&gt;
DOI: 10.5255/ukda-sn-8609-1
title: British Integration Survey, 2019

description: &lt;p&gt;Charitable organisation &lt;a href="https://the-challenge.org/about-us/"&gt;The Challenge&lt;/a&gt; commissioned ComRes to conduct the British Integration Survey to understand levels of social integration in Great Britain. The survey collected data on levels of diversity in respondents' networks, their interactions with people from different backgrounds, and attitudes towards different social groups.&lt;/p&gt; &lt;p&gt;The survey asked respondents to consider their social interactions on three levels: 1) the five closest social contacts with whom they spend the most time; 2) their wider social network including colleagues, neighbours and schoolmates; and 3) wider society.&lt;/p&gt; &lt;p&gt;The Challenge commissioned ComRes to design and conduct the fieldwork. The sample totaled 6,562 respondents aged 13+. This comprised a nationally representative sample of over 4,000 respondents, plus sample boosts for 13 to 15-year-olds, BAME people, and residents of the government's five Integration Areas. It also collected demographic data on gender, age group, ethnicity, socio-economic status, highest level of education, region, and postcode (outward).&lt;/p&gt;&lt;p&gt;Further information can be found on &lt;a href="https://the-challenge.org/impact/reports/the-british-integration-survey-2019/"&gt;The Challenge British Integration Survey&lt;/a&gt; webpage and the &lt;a href="https://www.belongnetwork.co.uk/resources/british-integration-survey-2019/"&gt;Belonging Network British Integration Survey&lt;/a&gt; webpage.&lt;/p&gt;
DOI: 10.7910/dvn/g9u9gm
title: Flight schedules from Guangzhou Baiyun International Airport Terminal 2

description: Flight schedules from Guangzhou Baiyun International Airport Terminal 2
DOI: 10.13140/rg.2.2.15733.91368
title: تطور هيكل السكان في الجزائر 1962_2018
DOI: 10.15468/dm08dl
title: ConDidact Citizen Science Surveys - Snails 2012

description: Danish: Den store sneglejagt 2012.
Occurrence dataset created by a citizen science project for schools, conducted from September 3 to October 1, 2012, in Denmark. The survey was organized by ConDidact (Danish private company with several websites used for teaching pupils about e.g. Danish animals, www.danske-dyr.dk). The participants searched for 6 species of snails:
• Arion ater (European Black Slug, Danish: Sort skovsnegl)
• Arion rufus (Large Red Slug, Danish: Rød skovsnegl)
• Arion cf. vulgaris (Spanish slug, Danish: Iberisk skovsnegl)
• Helix pomatia (Burgundy Snail, Danish: Vinbjergsnegl)
• Cepaea hortensis (White-lip Gardensnail, Danish: Havesnegl)
• Cepaea nemoralis (Larger Banded Snail, Danish: Lundsnegl)
The project invited the public to search for specific species in their local area. Species descriptions, instructions etc. were made available on a project website (http://danske-dyr.dk/Sv%C3%A6r/naturjagter/Den%20store%20Sneglejagt%202012/). Observations of species could be submitted through an online form. The species observations were documented by digital photos, and later were validated by scientific experts.
DOI: 10.13140/rg.2.2.12273.61284
title: AMERICAN NAIEVETTE ABOUT TALIBAN , ISI AND PAKISTANI STATE
DOI: 10.13140/rg.2.2.27582.82246
title: Практичний порадник для фахівців державної служби зайнятості у роботі з демобілізованими учасниками антитерористичної операції, операції об’єднаних сил і внутрішньо переміщеними особами: соціально-психологічний аспект
DOI: 10.15468/dl.2sg6wq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fungi)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-135 75,-127.5 75,-127.5 82.5,-135 82.5,-135 75))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042307-251009101135966/datasets/export for details.
DOI: 10.15468/dl.h2a4tc
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Corydalis adiantifolia"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042306-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30398953
title: LipinskiFix-1000 dataset

description: The Lipinski-1000 dataset proposed by "AutoLead: An LLM-Guided Bayesian Optimization Framework for Multi-Objective Lead Optimization", a benchmark dataset designed to evaluate molecular optimization strategies on realistic drug-like compounds. It consists of 1,000 unique ligands extracted from the high-quality HiQBind~\cite{wang2025workflow} database, each bound to experimentally validated protein targets. These molecules were selected for violating at least one of Lipinski's Rule of Five criteria, reflecting common challenges in early drug discovery. To ensure meaningful optimization, we applied additional quality constraints on molecular weight, lipophilicity, and QED scores, while limiting structural complexity. Each task targets restoring Lipinski compliance as the primary objective and maximizing QED as a secondary goal, providing a rigorous testbed for multi-objective molecular design.
DOI: 10.6084/m9.figshare.30398953.v1
title: LipinskiFix-1000 dataset

description: The Lipinski-1000 dataset proposed by "AutoLead: An LLM-Guided Bayesian Optimization Framework for Multi-Objective Lead Optimization", a benchmark dataset designed to evaluate molecular optimization strategies on realistic drug-like compounds. It consists of 1,000 unique ligands extracted from the high-quality HiQBind~\cite{wang2025workflow} database, each bound to experimentally validated protein targets. These molecules were selected for violating at least one of Lipinski's Rule of Five criteria, reflecting common challenges in early drug discovery. To ensure meaningful optimization, we applied additional quality constraints on molecular weight, lipophilicity, and QED scores, while limiting structural complexity. Each task targets restoring Lipinski compliance as the primary objective and maximizing QED as a secondary goal, providing a rigorous testbed for multi-objective molecular design.
DOI: 10.15468/dl.4rwh3t
title: Occurrence Download

description: A dataset containing 626 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pongo abelii Lesson, 1827"
 ]
}

 The dataset includes 626 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016562-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ugeekr
title: Occurrence Download

description: A dataset containing 2880 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cryptomeria japonica (Thunb. ex L.f.) D.Don",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Japan"
 ]
}

 The dataset includes 2880 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016559-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f45bkv
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bhutan",
 "TaxonKey is Ophiocordyceps sinensis (Berk.) G.H.Sung, J.M.Sung, Hywel-Jones & Spatafora"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016563-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0191602.10fu
title: SH0191602.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.pskhjh
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((78.06065099999999 20.259753, 77.985787 20.254177, 77.91278200000001 20.237587, 77.843448 20.210394, 77.77950199999999 20.173275, 77.722527 20.127149, 77.673928 20.073158, 77.63489800000001 20.012641, 77.606391 19.947093, 77.58909800000001 19.878134, 77.583432 19.807464, 77.58951500000001 19.736824, 77.60718300000001 19.667953, 77.635987 19.602544, 77.675209 19.542201, 77.723874 19.488405, 77.780783 19.442472, 77.844537 19.405527, 77.913574 19.378473, 77.986203 19.361972, 78.06065099999999 19.356426, 78.135099 19.361972, 78.207728 19.378473, 78.276765 19.405527, 78.340519 19.442472, 78.397428 19.488405, 78.446093 19.542201, 78.485315 19.602544, 78.51411899999999 19.667953, 78.53178699999999 19.736824, 78.53787 19.807464, 78.53220399999999 19.878134, 78.514911 19.947093, 78.48640399999999 20.012641, 78.447374 20.073158, 78.398775 20.127149, 78.34180000000001 20.173275, 78.277854 20.210394, 78.20851999999999 20.237587, 78.135515 20.254177, 78.06065099999999 20.259753))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001966-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0191603.10fu
title: SH0191603.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0191604.10fu
title: SH0191604.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0191605.10fu
title: SH0191605.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0191606.10fu
title: SH0191606.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0191607.10fu
title: SH0191607.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0191608.10fu
title: SH0191608.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.