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3,409 results for “UK”
(PRE) Socio-economic and cultural dataset in relation to Persuasive Strategies to boost Energy Efficiency and in the UK, Spain, Greece and Austria
<p>The dataset has been created from obtaining answers from 303 participants of four different countries in the EU (the questionnaire can be studied in <strong>GreenSoul_Questionnaire.pdf</strong>). It is composed by several factors which are explained in different TXT files. All these factors are contained in a "<strong>all_code_final_zenodo.xlsx</strong>" along with their answers by participants. In the following a short descrition of each TXT which explian the dataset is provided.:</p> <p> * <strong>socio-economic_description_not_dependent_of_work</strong><br> - Contains all the information from participants which is irrespective of their current workplace. This file contains typical socio-demographic and cultural attributes from respondents.</p> <p> * <strong>socio-economic_description_dependent_of_work</strong><br> - Contains socio-economic and cultural information from participants which is relevant to the workplace in relation to energy efficient practices in such environment.</p> <p> * <strong>actions-at-work</strong><br> - Are a set of attributes which describe certain practices of employees in relation to energy efficiency.</p> <p> * <strong>persuasive_strategies</strong><br> - Explain the ratings from 1 to 5 that participants attributed to a set of persuasive strategies. These strategies are framed within Phychological Persuasive principles which are also explained in the file.</p> <p> * <strong>all_attributes_together</strong><br> - All the variables together without distinction of the environment where they are applicable.</p> <p>Finally, plots from every construct or attribute are provided in a zip file (<strong>plots_descriptive_analysis_per_city.zip</strong>) which contains the plots uploaded in "PNG" extension</p>
EXPLORATORY SPATIAL ANALYSIS OF "ACCESS" TO PHYSICAL AND DIGITAL RETAIL BANKING CHANNELS IN THE UK
<p>File built in order to explore access to banking channels in the UK (February 2019)</p> <p>The report "Exploratory Spatial Analysis of Access to Physical and Digital Retail Banking Channels in the UK" has been published by Think Forward Initiative in October 2019. You can download the full report from here: <a href="https://www.thinkforwardinitiative.com/research/exploratory-spatial-analysis-of-access-to-physical-and-digital-retail-banking-channels-in-the-uk">https://www.thinkforwardinitiative.com/research/exploratory-spatial-analysis-of-access-to-physical-and-digital-retail-banking-channels-in-the-uk</a></p> <p>Related code: <a href="https://github.com/andrasonea">andrasonea</a>/<strong><a href="https://github.com/andrasonea/TFI_AccessToBanking">TFI_AccessToBanking</a></strong></p> <p> </p>
GWAS on self-reported hearing difficulty in the UK Biobank
<p>The dataset contains results of two genome-wide association studies for age-related hearing impairment (ARHI)-related traits as described in the following publication</p> <p><a href="https://www.sciencedirect.com/science/article/pii/S0002929719303477#!"><em>Wells HRR, Freidin MB, Zainul Abidin FN, Payton A, Dawes P, Munro KJ, Morton CC, Moore DR, Dawson SJ, Williams FMK. GWAS Identifies 44 Independent Associated Genomic Loci for Self-Reported Adult Hearing Difficulty in UK Biobank. Am J Hum Genet. 2019 Oct 3;105(4):788-802. doi: 10.1016/j.ajhg.2019.09.008. Epub 2019 Sep 26.</em></a> </p> <p>Please cite the article if using this dataset.</p> <p>Two files provide summary statistics for discovery analysis of <em><strong>Hearing difficulty (HD) </strong></em>and <em><strong>Hearing aid use (HAID)</strong></em> phenotypes for individuals of European descent from <a href="https://www.ukbiobank.ac.uk/">UK Biobank</a>.</p> <p><strong>Acknowledgements</strong></p> <p>The research was carried out using the UK Biobank Resource under application number 11516. H.R.R.W. is funded by a PhD Studentship Grant, S44, from Action on Hearing Loss. The study was also supported by funding from NIHR UCLH BRC Deafness and Hearing Problems Theme, a grant from MED_EL, and the NIHR Manchester Biomedical Research Centre. The English Longitudinal Study of Aging is jointly run by University College London, Institute for Fiscal Studies, University of Manchester, and National Centre for Social Research. Genetic analyses have been carried out by UCL Genomics and funded by the Economic and Social Research Council and the National Institute on Aging. Data governance was provided by the METADAC data access committee, funded by ESRC, Wellcome, and MRC (2015-2018: Grant Number MR/N01104X/1 2018-2020: Grant Number ES/S008349/1). TwinsUK is funded by the Wellcome Trust, Medical Research Council, European Union, the National Institute for Health Research (NIHR)-funded BioResource, Clinical Research Facility, and Biomedical Research Centre based at Guy’s and St Thomas’ NHS Foundation Trust in partnership with King’s College London. We would like to thank all the participants of UK Biobank, English Longitudinal Study of Aging, and TwinsUK.</p> <p><strong>Column headers:</strong></p> <p>SNP, SNP rsID</p> <p>CHR, chromosome</p> <p>BP, genomic position (GRCh37 build) </p> <p>ALLELE1, effect allele (coded as "1")</p> <p>ALLELE0, reference allele (coded as "0") </p> <p>A1FREQ, effect allele frequency</p> <p>INFO, imputation quality</p> <p>BETA, effect size of effect allele</p> <p>SE: standard error of effect size</p> <p>P, P-value of association (without GC correction)</p>
Neural Protein Associations with Parkinson's, Stroke, and Alzheimer's: Insights from UK Biobank Data
<p>该数据集来自英国生物样本库 (UKB) 和英国生物样本库制药蛋白质组学项目 (UKB-PPP),包含来自 54,219 名参与者的全面蛋白质组学和人口统计信息。该数据集包括 2,941 种蛋白质分析物的测量值,代表 2,923 种独特蛋白质。选择了一组 217 种神经学相关蛋白和 10 种人口统计学和生活方式协变量进行分析。该研究侧重于帕金森病、中风和阿尔茨海默病,使用 ICD-10 代码确定病例。该数据集是研究蛋白质组学生物标志物与神经系统疾病之间关系的宝贵资源,可用于复制和进一步研究。</p>
Wikipedia: wikipedia-uk (Ukranian)
Wikipedia is a multilingual, web-based, free-content encyclopedia project supported by the Wikimedia Foundation and based on a model of openly editable content. EOL harvests articles from wikipedia that are indexed as species or higher taxa.<p></p>
soil spatial covariates at OAL-UK
<p>Dataset containing a series of soil spatial covariates (e.g. topographic attributes, soil texture, soil organic matter, etc) usable in the creation of soil digital maps for OAL-UK.</p>
spatial soil particle distribution at OAL-UK
<p>three raster files containing information on the spatial distribution of the soil's percentage of sand, silt and clay, respectively, at OAL-UK. The files were created following a digital soil mapping approach implemented through the Random Forest algorithm. More information on how the raster files were created can be found here: <a href="https://doi.org/10.1016/j.ecoleng.2017.04.066">https://doi.org/10.1016/j.ecoleng.2017.04.066</a> </p>
spatial soil bulk density at OAL-UK
<p>raster containing information on the spatial distribution of soil bulk density at OAL-UK. The raster was generated following a digital soil mapping approach implemented through the random forest algorithm. More detail on the map creation can be found here: <a href="https://doi.org/10.1016/j.ecoleng.2017.04.066">https://doi.org/10.1016/j.ecoleng.2017.04.066</a></p>
Throughfall equations at OAL-UK
<p>Dataset containing fitting equations from linear regression models for predicting throughfall from gross rainfall for multiple woody and non-woody plant species -i.e. sycamore, ash, goat willow, basket willow and herbs. The equations were fitted per tree species and individual. </p> <p>Throughfall is a relevant eco-hydrological mechanism related to rainfall partitioning at the tree's canopy. Throughfall is basically the amount of rain passing through the canopy without being intercepted by the leaves or woody parts. More information on throughfall can be found here:<a href="https://doi.org/10.1016/j.jhydrol.2017.04.014">https://doi.org/10.1016/j.jhydrol.2017.04.014</a></p>
Stemflow fitting equations at OAL-UK
<p>Dataset containing fitting equations from linear regression models for predicting stemflow from gross rainfall for multiple woody plant species -i.e. sycamore, ash, goat willow and basket willow. The equations were fitted per tree species and individual. </p> <p>Stemflow is a relevant eco-hydrological mechanism related to rainfall partitioning at the tree's canopy. Stemflow consists in the funnelling of rainfall around the tree stem, concentrating water and nutrients on its way to the root zone. More information on stemflow can be found here: <a href="https://doi.org/10.1016/j.jhydrol.2019.124448">https://doi.org/10.1016/j.jhydrol.2019.124448</a> </p>
Electricity demand data and solar generation data from Plymouth. UK
<p>This dataset was used in the Western Power Distribution Presumed Open Data competition in 2021.</p> <p>The data is provided under the Western Power Distribution Open Data Licence.</p> <p>There are five files:</p> <p>pv_train_set4.csv - contains solar panel data - an irradiance, power output and solar panel temperature for each half-hour from 3rd November 2017 through 2nd July 2020.</p> <p>weather_train_set4.csv - contains hourly reanalysis temperature and solar radiation at 6 weather stations near the solar panels (near Plymouth, UK).</p> <p>demand_train_set4.csv - contains half-hourly electricity demand data from a substation near Plymouth, UK, running from 3rd November 2017 through 2nd July 2020.</p> <p>pv_test_set4.csv - contains an extra week of data to pv_train_set4.csv, running from 3rd July 2020 through 9th July 2020.</p> <p>demand_test_set4.csv - contains an extra week of data to demand_train_set4.csv, running from 3rd July 2020 through 9th July 2020.</p> <p> </p>
A common NFKB1 variant detected through antibody analysis in UK Biobank predicts risk of infection and allergy: Summary statistics - Health records
<p>Infectious agents contribute significantly to the global burden of diseases, through both acute infection and their chronic sequelae. We leveraged the UK Biobank to identify genetic loci that influence humoral immune response to multiple infections. From 45 genome-wide association studies in 9,611 participants from UK Biobank, we identified NFKB1 as a locus associated with quantitative antibody responses to multiple pathogens including those from the herpes, retro- and polyoma-virus families. An insertion-deletion variant thought to affect NFKB1 expression (rs28362491), was mapped as the likely causal variant. This variant has persisted throughout hominid evolution and could play a key role in regulation of the immune response. Using 121 infection and inflammation related traits in 487,297 UK Biobank participants, we show that the deletion allele was associated with an increased risk of infection from diverse pathogens but had a protective effect against allergic disease. We propose that altered expression of NFKB1, as a result of the deletion, modulates haematopoietic pathways, and likely impacts cell survival, antibody production, and inflammation. Taken together, we show that disruptions to the tightly regulated immune processes may tip the balance between exacerbated immune responses and allergy, or increased risk of infection and impaired resolution of inflammation. </p> <p>-------------------------------------------------------------------------------------</p> <p>This dataset contains GWAS summary statistics for infection, inflammation, and allergy related traits in 487,297 individuals</p>
A common NFKB1 variant detected through antibody analysis in UK Biobank predicts risk of infection and allergy: Summary statistics - Serology
<p>Infectious agents contribute significantly to the global burden of diseases, through both acute infection and their chronic sequelae. We leveraged the UK Biobank to identify genetic loci that influence humoral immune response to multiple infections. From 45 genome-wide association studies in 9,611 participants from UK Biobank, we identified NFKB1 as a locus associated with quantitative antibody responses to multiple pathogens including those from the herpes, retro- and polyoma-virus families. An insertion-deletion variant thought to affect NFKB1 expression (rs28362491), was mapped as the likely causal variant. This variant has persisted throughout hominid evolution and could play a key role in regulation of the immune response. Using 121 infection and inflammation related traits in 487,297 UK Biobank participants, we show that the deletion allele was associated with an increased risk of infection from diverse pathogens but had a protective effect against allergic disease. We propose that altered expression of NFKB1, as a result of the deletion, modulates haematopoietic pathways, and likely impacts cell survival, antibody production, and inflammation. Taken together, we show that disruptions to the tightly regulated immune processes may tip the balance between exacerbated immune responses and allergy, or increased risk of infection and impaired resolution of inflammation. </p> <p>-------------------------------------------------------------------------------------</p> <p>This dataset contains GWAS summary statistics for quantitative antibody responses in 9611 individuals and results for a meta-analysis of UK Biobank and CoLaus/PsyCoLaus antibody responses.</p> <p> </p>
Tracking data for breeding Curlew (Numenius arquata) in north Wales, UK
<p>This dataset of GPS tracking data for Eurasian Curlew (Numenius arquata) forms the basis of the analysis carried out in Bowgen, K. M., Dodd, S. G., Lindley, P., Burton, N. H. K., & Taylor, R. C. (2022). Curves for Curlew: Identifying Curlew breeding status from GPS tracking data. Ecology and Evolution, 12, e9509. https://doi.org/10.1002/ece3.9509.</p> <p>This paper details a new method to assign breeding status to individual birds during their full breeding season. All points are spatially anonymised but the analyses in the associated paper are replicable with this dataset as it only requires spatial and temporal relationships between the points rather than to a specific landscape.</p> <p>Data permissions are held jointly between BTO, National Resources Wales and Royal Society for the Protection of Birds as the funders and collaborators of the project. The study is open to collaboration with the full spatially referenced dataset following application to the BTO via the lead authors.</p> <p>........................................................................................</p> <p>We would also greatly appreciate if you could fill out <a href="https://forms.gle/DCc58VXpdmqnTmTk8" target="_blank" rel="noopener">this very short form</a> to tell us how you intend to use these data. Thanks in advance!</p>
Predictive high-resolution mapping of sea floor rock cover for the UK and Ireland
<p>Predicted seabed rock cover using the machine learning algorithm Catboost and marine environmental predictors.</p> <p>Supporting data for T4.1 of Horizon 2020 project FutureMARES.</p>
A dataset of metadata for UK academic institutional repositories, including a census of research software contained.
<p>A dataset of metadata for UK academic institutional repositories, including a census of research software contained.</p> <table> <tbody> <tr> <td><strong>URL</strong></td> <td>The OAI url</td> </tr> <tr> <td><strong>id</strong></td> <td>CORE Identifier</td> </tr> <tr> <td><strong>openDoarId</strong></td> <td>Open DOAR identifier</td> </tr> <tr> <td><strong>name</strong></td> <td>Name of repository</td> </tr> <tr> <td><strong>Russell_member</strong></td> <td>If the university is a member of the Russell Group of research intensive universities</td> </tr> <tr> <td><strong>RSE_group</strong></td> <td>If an RSE group is present (based on Soc of RSE data)</td> </tr> <tr> <td><strong>email</strong></td> <td>Redacted</td> </tr> <tr> <td><strong>uri</strong></td> <td>Not used</td> </tr> <tr> <td><strong>uni_sld</strong></td> <td>Second level domain (the part of the url between . And .ac.uk</td> </tr> <tr> <td><strong>homepageUrl</strong></td> <td>University website</td> </tr> <tr> <td><strong>source</strong></td> <td>Not used</td> </tr> <tr> <td><strong>ris_software</strong></td> <td>the Research Information System software used</td> </tr> <tr> <td><strong>ris_software_enum</strong></td> <td>Resolve ris_software into similar types (e.g. Eprints 3, EPrints3.3.16 both equal eprints)</td> </tr> <tr> <td><strong>metadataFormat</strong></td> <td>the protocol used for metadata</td> </tr> <tr> <td><strong>createdDate</strong></td> <td>Repository creation date</td> </tr> <tr> <td><strong>location</strong></td> <td>location of university</td> </tr> <tr> <td><strong>logo</strong></td> <td>University logo (resolves in error)</td> </tr> <tr> <td><strong>type</strong></td> <td>Only = Repository for this dataset. Can be = journal etc.</td> </tr> <tr> <td><strong>stats</strong></td> <td>Not used</td> </tr> <tr> <td><strong>contains_software_set</strong></td> <td>Whether the OAI-PMH software set is present in the repository.</td> </tr> <tr> <td><strong>Num_sw_records</strong></td> <td>The response of the OAI-PMH query for software (erroneous as discussed in paper)</td> </tr> <tr> <td><strong>Error</strong></td> <td>The category of error returned by the experiment’s OAI-PMH queries (see paper)</td> </tr> <tr> <td><strong>Manual_Num_sw_records</strong></td> <td>The true amount of software contained in the repository as found by a manual exhaustive search of each university website</td> </tr> <tr> <td><strong>Category</strong></td> <td>Whether the repository (a) contains software; (b) can contain software, but doesn’t yet; (c) has no separate type of research output called software or similar</td> </tr> </tbody> </table> <p> </p>
BTO Garden BirdWatch: Weekly butterfly abundance data for modelling trends in UK gardens
<p>Dataset used to estimate annual abundance indices and trends for UK butterflies in gardens, covering the period 2007 to 2020.</p> <p>Data have been collected as part of the British Trust for Ornithology (BTO) Garden BirdWatch (GBW) survey. GBW is a structured, citizen science monitoring programme whereby volunteers record weekly abundances of various bird, invertebrate, mammal, reptile and amphibian species in (predominantly suburban and rural) gardens. See <a href="http://www.bto.org/gbw">www.bto.org/gbw</a> for further information about the survey. </p> <p>This dataset has been pre-filtered to meet criteria for inclusion in the modelling of butterfly species trends, as described by <a href="https://doi.org/10.1111/icad.12645">Plummer et al 2023</a>. Please refer to the 'readme' file for further details.</p> <p>We would also greatly appreciate if you could fill out <a href="https://forms.gle/DCc58VXpdmqnTmTk8" target="_blank" rel="noopener">this very short form</a> to tell us how you intend to use these data. Thanks in advance!</p>
Data from: Trends in butterfly populations in UK gardens – new evidence from citizen science monitoring
<p>This data package describes the annual abundance indices and trend estimates for 22 butterfly species in UK gardens for the period 2007-2020.</p> <p>These data form the basis of the results presented in: Plummer, K.E., Dadam, D., Brereton, T., Dennis, E.B., Massimino, D., Risely, K. et al. (2023) Trends in butterfly populations in UK gardens—New evidence from citizen science monitoring. <em>Insect Conservation and Diversity</em>, 1– 13. Available from: <a href="https://doi.org/10.1111/icad.12645">https://doi.org/10.1111/icad.12645</a></p> <p>Please refer to the paper for an explanation of the underlying BTO Garden BirdWatch (GBW) data and modelling protocols used to produce the datasets included here.</p> <p>We would also greatly appreciate if you could fill out <a href="https://forms.gle/DCc58VXpdmqnTmTk8" target="_blank" rel="noopener">this very short form</a> to tell us how you intend to use these data. Thanks in advance!</p>
(POST) Socio-economic and cultural dataset in relation to Persuasive Strategies to boost Energy Efficiency and in the UK, Spain, Greece and Austria
<p>The dataset has been created from obtaining post-pilot answers from 106 participants of four different countries in the EU (the questionnaire can be studied in <strong>GreenSoul_Validation_Questionnaire-POST.pdf</strong>). It is composed by several factors which are explained in<strong> POST-coding.ods </strong>file. All these factors are contained in: "<strong>POST-results-socio-economic-model.ods</strong>" and "<strong>POST-results-treatments-evaluation.ods</strong>" along with their answers by participants.</p> <p>Finally, we provided a cleaned version of the dataset to study how can a researcher is able to forecast the ranking that a user will give to different persuasion strategies according to user profiles: "<strong>POST-results-ranking-model.ods</strong>"</p>
Wikimedia Links to UK Repositories (snapshot)
<p>This is a snapshot (08/12/2019) of links from Wikipedia to UK repositories using the "insource" parameter on this special page to search across Wikipedia <a href="https://en.wikipedia.org/w/index.php?sort=relevance&search=">https://en.wikipedia.org/w/index.php?sort=relevance&search=</a></p> <p>It covers institutional open access and data repositories. It also includes non-institutional and subject specific data repositories including figshare, zenodo, datadryad</p> <p>N.B. There are over 150 HEIs in the UK and for practical reasons it is only complete across the Russell Group. Other repositories were partially crowdsourced via the UKCoRR mailing list which can be updated via this Google sheet for future iterations of the dataset <a href="https://docs.google.com/spreadsheets/d/1rJ3Se0y6dJJW43SLeFxaKlSsdrQN5p4lQLK_rMhxAZQ/edit#gid=0">https://docs.google.com/spreadsheets/d/1rJ3Se0y6dJJW43SLeFxaKlSsdrQN5p4lQLK_rMhxAZQ/edit#gid=0</a></p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.