cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12819131
title: 2015_2020_ERA5_MonthlyPrecipitation_10k

description: Monthly Precipitation from the ERA5 reanalysis archive supplied by the European Centre of Medium Range Weather Forecasting for 2015-2020 

Abstract:

Precipitation from the ERA5 reanalysis archive supplied by the European Centre of Medium Range Weather Forecasting for 2015 - 2020. The original data is at 0.25 degree resolution and was downscaled by ERA extraction algorithms to 10km.

 

File naming scheme:  

Filenames =  mo+ era5precet+ month+ year : moera5prectSep-15.TIF   

More information can be found in this file: ERA5-Land monthly averaged data from 1981 to present.pdf  

Projection + EPSG code:Latitude-Longitude/WGS84 (EPSG: 4326)

Spatial extent:Extent   -32.0999979564505225,17.9499999999999886 : 68.9999956073235836,82.0499999999999972

Spatial resolution:10 km 

Pixel values:unit: meter

Source: 

The European Centre of Medium Range Weather Forecasting (ERA5) 

Software used:ArcMap 10.8

License: CC-BY-SA 4.0

Processed by:ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD project
DOI: 10.5281/zenodo.12819132
title: 2015_2020_ERA5_MonthlyPrecipitation_10k

description: Monthly Precipitation from the ERA5 reanalysis archive supplied by the European Centre of Medium Range Weather Forecasting for 2015-2020 

Abstract:

Precipitation from the ERA5 reanalysis archive supplied by the European Centre of Medium Range Weather Forecasting for 2015 - 2020. The original data is at 0.25 degree resolution and was downscaled by ERA extraction algorithms to 10km.

 

File naming scheme:  

Filenames =  mo+ era5precet+ month+ year : moera5prectSep-15.TIF   

More information can be found in this file: ERA5-Land monthly averaged data from 1981 to present.pdf  

Projection + EPSG code:Latitude-Longitude/WGS84 (EPSG: 4326)

Spatial extent:Extent   -32.0999979564505225,17.9499999999999886 : 68.9999956073235836,82.0499999999999972

Spatial resolution:10 km 

Pixel values:unit: meter

Source: 

The European Centre of Medium Range Weather Forecasting (ERA5) 

Software used:ArcMap 10.8

License: CC-BY-SA 4.0

Processed by:ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD project
DOI: 10.6084/m9.figshare.26623234
title: Additional file 5 of The Golgi stacking protein GRASP55 is targeted by the natural compound prodigiosin

description: Additional file 5. Supplementary Table S2.
DOI: 10.6084/m9.figshare.26579279
title: Additional file 2 of Gene expression variability in long-term survivors of childhood cancer and cancer-free controls in response to ionizing irradiation

description: Additional file 2. Results of the gene expression variability classification. a Gene classifications in whole data set (WDS) and classifications after cross-validation (cv) in fibroblasts of cancer-free controls (N0), childhood cancer survivors without (N1) and with at least one second primary neoplasm (N2 +) after exposure 0 Gray. 1 = Hypo-Variable, 2 = Non-Variable, 3 = Hyper-Variable. NA = Gene excluded by bimodal test/NA in CV = classification from WDS not verified, set to 2 for further analyses. b Gene classifications in whole data set (WDS) and classifications after cross-validation (cv) in fibroblasts of cancer-free controls (N0), long-term survivors of childhood cancer without (N1) and with at least one second primary neoplasm (N2 +) after exposure to 0.05 Gray. 1 = Hypo-Variable, 2 = Non-Variable, 3 = Hyper-Variable. NA = Gene excluded by bimodal test/NA in CV = classification from WDS not verified, set to 2 for further analyses. c Gene classifications in whole data set (WDS) and classifications after cross-validation (cv) in fibroblasts of cancer-free controls (N0), long-term survivors of childhood cancer without (N1) and with at least one second primary neoplasm (N2 +) after exposure to 2 Gray. 1 = Hypo-Variable, 2 = Non-Variable, 3 = Hyper-Variable. NA = Gene excluded by bimodal test/NA in CV = classification from WDS not verified, set to 2 for further analyses. d Results of the various employed algorithms for the classification of N1 and N2 + using 30 genes that were only classified as hyper-variable in N2 + post-LDIR. Models were trained and tested using only N1 and N2 + data post-LDIR.
DOI: 10.6084/m9.figshare.26623321
title: Additional file 4 of Decoding cell-type contributions to the cfRNA transcriptomic landscape of liver cancer

description: Additional file 4. Classification and modeling results.
DOI: 10.6084/m9.figshare.26579282.v1
title: Additional file 3 of Gene expression variability in long-term survivors of childhood cancer and cancer-free controls in response to ionizing irradiation

description: Additional file 3. Gene lists that were used as backgrounds in the gene ontology over-representation analyses.
DOI: 10.15468/dl.5rw6v8
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.254966 -33.103609, 148.254966 -33.112592, 148.261703 -33.112592, 148.261703 -33.105855, 148.259458 -33.105855, 148.259458 -33.103609, 148.254966 -33.103609))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068267-240626123714530/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.26579276
title: Additional file 1 of Gene expression variability in long-term survivors of childhood cancer and cancer-free controls in response to ionizing irradiation

description: Additional file 1. Results of the differential gene expression analysis and the bimodal indices. a: Results of the differential expression analysis comparing fibroblasts of long-term survivors of childhood cancer without (N1) and with at least one second primary neoplasm (N2 +) to cancer-free controls (N0). Data were adjusted for age and sex, p-values for false discovery at a rate of 0.05 (FDR). b: Bimodal index (BI) values of the bimodal test, using the SIBERG package for R.
DOI: 10.15468/dl.ptewas
title: Occurrence Download

description: A dataset containing 146212 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nereididae"
 ]
}

 The dataset includes 146212 records from 692 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068260-240626123714530/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.26579276.v1
title: Additional file 1 of Gene expression variability in long-term survivors of childhood cancer and cancer-free controls in response to ionizing irradiation

description: Additional file 1. Results of the differential gene expression analysis and the bimodal indices. a: Results of the differential expression analysis comparing fibroblasts of long-term survivors of childhood cancer without (N1) and with at least one second primary neoplasm (N2 +) to cancer-free controls (N0). Data were adjusted for age and sex, p-values for false discovery at a rate of 0.05 (FDR). b: Bimodal index (BI) values of the bimodal test, using the SIBERG package for R.
DOI: 10.6084/m9.figshare.26579279.v1
title: Additional file 2 of Gene expression variability in long-term survivors of childhood cancer and cancer-free controls in response to ionizing irradiation

description: Additional file 2. Results of the gene expression variability classification. a Gene classifications in whole data set (WDS) and classifications after cross-validation (cv) in fibroblasts of cancer-free controls (N0), childhood cancer survivors without (N1) and with at least one second primary neoplasm (N2 +) after exposure 0 Gray. 1 = Hypo-Variable, 2 = Non-Variable, 3 = Hyper-Variable. NA = Gene excluded by bimodal test/NA in CV = classification from WDS not verified, set to 2 for further analyses. b Gene classifications in whole data set (WDS) and classifications after cross-validation (cv) in fibroblasts of cancer-free controls (N0), long-term survivors of childhood cancer without (N1) and with at least one second primary neoplasm (N2 +) after exposure to 0.05 Gray. 1 = Hypo-Variable, 2 = Non-Variable, 3 = Hyper-Variable. NA = Gene excluded by bimodal test/NA in CV = classification from WDS not verified, set to 2 for further analyses. c Gene classifications in whole data set (WDS) and classifications after cross-validation (cv) in fibroblasts of cancer-free controls (N0), long-term survivors of childhood cancer without (N1) and with at least one second primary neoplasm (N2 +) after exposure to 2 Gray. 1 = Hypo-Variable, 2 = Non-Variable, 3 = Hyper-Variable. NA = Gene excluded by bimodal test/NA in CV = classification from WDS not verified, set to 2 for further analyses. d Results of the various employed algorithms for the classification of N1 and N2 + using 30 genes that were only classified as hyper-variable in N2 + post-LDIR. Models were trained and tested using only N1 and N2 + data post-LDIR.
DOI: 10.6084/m9.figshare.26579282
title: Additional file 3 of Gene expression variability in long-term survivors of childhood cancer and cancer-free controls in response to ionizing irradiation

description: Additional file 3. Gene lists that were used as backgrounds in the gene ontology over-representation analyses.
DOI: 10.6084/m9.figshare.26579285
title: Additional file 4 of Gene expression variability in long-term survivors of childhood cancer and cancer-free controls in response to ionizing irradiation

description: Additional file 4. Results of the Gene Ontology (GO) term over-representation analyses. Results of the Gene Ontology (GO) term over-representation analyses for all donor groups and radiation doses, filtered for adjusted p-value &lt; 0.05. N0 = fibroblasts of cancer-free donors, N1 = fibroblasts of long-term survivors of childhood cancer without a second primary neoplasm, and N2 +  = fibroblasts of long-term survivors of childhood cancer with at least one second primary neoplasm.
DOI: 10.6084/m9.figshare.26579177
title: Additional file 14 of A novel TF molecular switch-mechanism found in two contrasting ecotypes of a psammophyte, Agriophyllum squarrosum, in regulating transcriptional drought memory

description: Supplementary Material 14
DOI: 10.15468/dl.bmsq9s
title: Occurrence Download

description: A dataset containing 197 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "Geometry POLYGON((-108.05394 -37.49138,37.05394 -37.49138,37.05394 20.49138,-108.05394 20.49138,-108.05394 -37.49138))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Megalechis thoracata (Valenciennes, 1840)"
 ]
}

 The dataset includes 197 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068268-240626123714530/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.26725736.v1
title: Additional file 2 of Discovery of novel RNA viruses through analysis of fungi-associated next-generation sequencing data

description: Supplementary Material 2.
DOI: 10.15468/dl.mmuxbs
title: Occurrence Download

description: A dataset containing 6018885 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 1970-2025"
 ]
}

 The dataset includes 6018885 records from 2366 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008683-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6eecgix/mlxjwt
title: msXL_322v_46_33.tif
DOI: 10.5255/ukda-sn-7915-1
title: Research into the Barriers to Take-up and Use of Business Support, 2011: Secure Access

description: The &lt;i&gt;Research into the Barriers to Take-up and Use of Business Support, 2011&lt;/i&gt; study was a one-off survey concerned with the barriers to the take up of formal external assistance, the reasons for such barriers and whether there is evidence of market failure, and the extent of latent demand for business support services. The research differentiates between: (i) non users of external assistance; (ii) users of private sector external assistance such as from accountants, solicitors, consultants, and trade associations; and (iii) users of public sector business assistance such as from Business Link, UK Trade and Investment, and local authorities.&lt;br&gt; &lt;br&gt; The research was based on a CATI telephone survey of the owner-managers of Small and Medium-sized Enterprises (SMEs) in England undertaken in March 2011.&lt;br&gt; &lt;br&gt; &lt;i&gt;Linking to other business studies&lt;/i&gt;&lt;br&gt; These data contain Inter-Departmental Business Register (IDBR) reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.&lt;br&gt;&lt;br&gt;For Secure Lab projects applying for access to this study as well as to SN 6697 &lt;span style="font-style: italic;"&gt;Business Structure Database&lt;/span&gt; and/or SN 7683 &lt;span style="font-style: italic;"&gt;Business Structure Database Longitudinal&lt;/span&gt;, only postcode-free versions of the data will be made available.&lt;br&gt; &lt;br&gt;
DOI: 10.5255/ukda-sn-7916-1
title: Living Standards of Working Households in Britain, 1904-1954

description: This project investigated the roles of the welfare state, education, reductions in family size, and improvements in real wages in the elimination of poverty in Britain, 1904-54. The key national data sets for this analysis are household expenditure surveys for 1904, 1937/8 and 1953/4. The 1953/4 survey is the largest of the twentieth century (12,900 households) and survives in its entirety at The National Archives. It was carried out before the affluence of the Golden Age had been widely distributed. Abel-Smith and Townsend used some of this survey for their The Poor and the Poorest (1965), which was influential in setting the social policy agenda of the 1960s. The project digitised the 1953/4 survey and exploited these early twentieth century surveys to analyse poverty, nutrition and overcrowding among working households in Britain. A web-based centre on living standards provides information on the changing economic circumstances of households. It also allows access to the data, which have a number of other important long-term potential uses for social research.
DOI: 10.5255/ukda-sn-7917-1
title: Centre for Competition Policy: Energy Consumer Survey, 2005

description: The &lt;I&gt;Centre for Competition Policy: Energy Consumer Survey, 2005&lt;/i&gt; aimed to identify consumers' perception with respect to search and switching costs and expected gains from switching energy suppliers. Conducted by Ipsos Mori for the Centre for Competition Policy (CCP), the survey was based on a nationally representative quota sample. The questions were designed to be consistent with those asked in other surveys, including a later consumer survey also undertaken at CCP (see SN 7918).&lt;br&gt; &lt;br&gt;
DOI: 10.5255/ukda-sn-7918-1
title: Centre for Competition Policy: Energy Consumer Survey, 2011

description: The &lt;I&gt;Centre for Competition Policy: Energy Consumer Survey, 2011&lt;/I&gt; gathered household survey data focusing on searching and switching behaviour in the energy market. The survey was designed and commissioned to explore further some of the issues which had emerged from the Centre for Competition Policy (CCP) 2005 energy consumer survey across markets (see SN 7917). The 2011 survey was restricted to a single market (electricity supply), both to enable greater depth of questioning in that one market (which has been the subject of a number of other studies conducted at CCP) and to reduce the burden on respondents.&lt;br&gt; &lt;br&gt;
DOI: 10.25346/s6eecgix/i81i3s
title: msXL_322v_46_32.tif
DOI: 10.5255/ukda-sn-7922-4
title: Independent Midwives UK Research Database, 2002-2012
title: IMUK Research Database

description: &lt;p&gt;The Independent Midwives UK (IMUK) Research Database project was set up in 2002 as a prospective data collection. The aim was to collect a wide range of data from the IMs' case notes, covering antenatal, intrapartum and postpartum care. Each client was asked to sign a consent form giving permission for the data to be used. Research databases are normally designed to provide the minimum dataset that will satisfy the research requirements. The IMUK database took the opposite approach, collecting a wide range of data from the outset, with a 100% sample. This decision was made since it was neither practicable nor possible to contact clients for corrections and additions after the maternity care episode was completed. This has resulted in a dataset both comprehensive in scope and rich in detail. It may be particularly interesting because of the high proportion of home births (over 60%).&lt;/p&gt;&lt;p&gt;&lt;span style="font-style: italic;"&gt;Study Author's Acknowledgment:&lt;br&gt;&lt;/span&gt;In memory of Roger Kistruck, with heartfelt thanks. Without him these datasets could not have been collected or processed.&lt;br&gt;&lt;/p&gt;&lt;p&gt;Independent Midwives UK (IMUK) is a membership organisation for independent midwives (IMs) in the UK. All IMUK's full members are professionally trained midwives, and are regulated by the NMC. IMs work autonomously as lead health professionals for maternity care, booking clients outside the NHS system, although almost all clients booked are also entitled to GP, specialist and emergency care as NHS patients. More than 50% of births attended by independent midwives are home births.&lt;/p&gt;&lt;p&gt;For the June 2022 release, edits were made to the previous data files to create a standard End User Licence (EUL) access version. Users should note that the documentation may still refer to previous files. The variables contained in the EUL version are listed in the UKDA data dictionary files available in the documentation table.&lt;/p&gt;&lt;p&gt;&lt;span style="font-style: italic;"&gt;&lt;/span&gt;&lt;/p&gt;
DOI: 10.5255/ukda-sn-7926-2
title: Local Elections in England, 2015

description: The data collection is produced by the University of Exeter Q-Step staff and students in collaboration with the Electoral Reform Society who provided the initial coding frame. It includes the ward- and council-level data summarising the results of the 2015 local elections in England. It was collected from local council web-sites and through direct contacts with the Returning Officers where the electoral results were not publicly available. The ward-level dataset includes the electoral results for 5708 wards, their geographical identifiers and the gender of successful and unsuccessful candidates by party. The council-level data includes the electoral results for 279 local authorities merged with the ONS socio-demographic data. The data collection is unique since there has been no attempt to report the results of the 2015 local election in a single dataset. It will be of interest for political scientists, political parties and anyone interested in the statistical analysis of local election results – a topic particularly salient in the light of the forthcoming local elections in May 2016.
DOI: 10.5255/ukda-sn-7927-1
title: Wellcome Trust Monitor 3, 2015
title: Wellcome Trust Monitors, 2009-
title: WTM 3

description: The &lt;i&gt;Wellcome Trust Monitor&lt;/i&gt; is a unique survey of UK adults' (and in some waves, young people's) views around science and biomedical research. The findings are representative of the UK population and provide fresh and significant insights to inform science communication practice and how research priorities might be shaped, building a better understanding of the social context of biomedical research. The survey is repeated every three years and a large proportion of the questions recur in each wave. The aim of this tracking survey is to build a high-quality evidence base that explores trends and variations across time on both general scientific and medical themes and specific societal issues. This robust study also seeks to develop a more systematic approach to describing and understanding current interest in, attitudes towards and knowledge of science and biomedical research. There is flexibility within each wave to include a number of additional questions to explore new and topical areas of interest. &lt;br&gt;
&lt;br&gt;
Further information is available from the &lt;a class="external" href="http://www.wellcome.ac.uk/About-us/Publications/Reports/Public-engagement/WTX058859.htm" title="Wellcome Trust Monitor"&gt;Wellcome Trust Monitor&lt;/a&gt; webpage.&lt;br&gt;
&lt;br&gt;
 The &lt;i&gt; Wellcome Trust Monitor 3, 2015&lt;/i&gt; is the third survey in the series and was conducted by Ipsos MORI. This wave of the survey was designed to provide comparability with findings from Waves 1 and 2. The survey also aimed to build on previous waves by refining the questionnaire and approach to maximise the level and quality of response from respondents. This wave differed from previous ones in that young people were excluded from the sample. &lt;br&gt;
&lt;br&gt;
DOI: 10.25346/s6eecgix/8udi0f
title: msXL_322v_46_31.tif
DOI: 10.5255/ukda-sn-7932-2
title: Living Costs and Food Survey, 2013: Unrestricted Access Teaching Dataset
title: UK Data Service Open/Unrestricted Access Teaching Datasets
title: LCFS

description:    The &lt;i&gt;Living Costs and Food Survey, 2013: Unrestricted Access Teaching Dataset&lt;/i&gt; is based on the &lt;i&gt;Living Costs and Food Survey, 2013&lt;/i&gt; (LCF), available from the UK Data Archive under SN 7702, and constitutes real data which are used by government, business and other organisations. The teaching dataset is a subset which has been subjected to certain simplifications and additions for the purpose of learning and teaching. &lt;br&gt; &lt;br&gt; The main differences are:&lt;ul&gt;&lt;li&gt;the number of variables has been reduced&lt;/li&gt;&lt;li&gt;a reduced User Guide with codebook is provided&lt;/li&gt;&lt;li&gt;some variables have been recoded to reduce the level of detail&lt;/li&gt;&lt;/ul&gt;Further information is available in the study documentation (see below) which includes a User Guide.&lt;br&gt; &lt;br&gt; For the second edition (August 2016) a new weighting variable has been added to the data and the user guide has been updated accordingly.
DOI: 10.25346/s6eecgix/o23lwx
title: msXL_322v_46_30.tif