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3,409 results for “UK”

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zenodo48/100

PM_072682_UK_Peterborough

File Name: PM_072682_UK_Peterborough.jpg Sublocation: Cathedral Location: Peterborough Province: East England, Cambridgeshire Country: United Kingdom Header: Cathedral. Exterior. South nave. A window. Top. Gothic. 12th - 13th century. Description: Cathedral Exterior South nave A window Top Gothic 12th - 13th century Keywords: Cambridgeshire, Cathedral, Cultural heritage, East England, Europe, Monuments, Peterborough, United Kingdom Author: Photo: Paul M.R. Maeyaert Copyright: Paul M.R. Maeyaert

opencc-by-sa-4.0Nov 2024View details →

zenodo48/100

PM_072684_UK_Peterborough

File Name: PM_072684_UK_Peterborough.jpg Sublocation: Cathedral Location: Peterborough Province: East England, Cambridgeshire Country: United Kingdom Header: Cathedral. Exterior. The apse. Northeast. Gothic. 12th - 13th century. Description: Cathedral Exterior The apse Northeast Gothic 12th - 13th century Keywords: Cambridgeshire, Cathedral, Cultural heritage, East England, Europe, Monuments, Peterborough, United Kingdom Author: Photo: Paul M.R. Maeyaert Copyright: Paul M.R. Maeyaert

opencc-by-sa-4.0Nov 2024View details →

zenodo48/100

PM_152242_UK_London

File Name: PM_152242_UK_London.jpg Sublocation: The National Gallery Location: London Province: London, London Country: United Kingdom Header: Schilderij, Maria met Kind tussen de heiligen Petrus en Paulus, Dieric Bouts. ca 1465, detail Description: Painting Virgin and Child with Saints Peter and Paul Dieric Bouts Ca 1465 Detail Keywords: Cultural heritage, Europe, London, Museum/private collection, Painting, Techniques, United Kingdom Author: Dieric Bouts (ca 1410/1415-1475) Copyright: Paul M.R. Maeyaert

opencc-by-sa-4.0Nov 2024View details →

zenodo48/100

PM_152240_UK_London

File Name: PM_152240_UK_London.jpg Sublocation: The National Gallery Location: London Province: London, London Country: United Kingdom Header: Schilderij, Maria met Kind tussen de heiligen Petrus en Paulus, Dieric Bouts. ca 1465, detail Description: Painting Virgin and Child with Saints Peter and Paul Dieric Bouts Ca 1465 Detail Keywords: Cultural heritage, Europe, London, Museum/private collection, Painting, Techniques, United Kingdom Author: Dieric Bouts (ca 1410/1415-1475) Copyright: Paul M.R. Maeyaert

opencc-by-sa-4.0Nov 2024View details →

zenodo48/100

PM_152522_UK_London

File Name: PM_152522_UK_London.jpg Sublocation: The simon Collection of Belgian art Location: London Province: London, London Country: United Kingdom Header: Schilderij, James Ensor, Stilleven met lantaarn en groenten, 1900 (?); olieverf op doek, 54,5x65,5cm Description: Painting James Ensor Sill Life with a Lantern and Vegetables 1900 (?) Oil on canvas 54,5x65,5cm Keywords: Cultural heritage, Europe, London, Museum/private collection, Painting, Techniques, United Kingdom Author: James Ensor (1860-1949) Copyright: Paul M.R. Maeyaert

opencc-by-sa-4.0Nov 2024View details →

zenodo48/100

PM_152238_UK_London

File Name: PM_152238_UK_London.jpg Sublocation: The National Gallery Location: London Province: London, London Country: United Kingdom Header: Schilderij, Maria met Kind tussen de heiligen Petrus en Paulus, Dieric Bouts. ca 1465 Description: Painting Virgin and Child with Saints Peter and Paul Dieric Bouts Ca 1465 Keywords: Cultural heritage, Europe, London, Museum/private collection, Painting, Techniques, United Kingdom Author: Dieric Bouts (ca 1410/1415-1475) Copyright: Paul M.R. Maeyaert

opencc-by-sa-4.0Nov 2024View details →

zenodo48/100

PM_152237_UK_London

File Name: PM_152237_UK_London.jpg Sublocation: The national Gallery Location: London Province: London, London Country: United Kingdom Header: Schilderij, "Portret van een man (Jan van Winckele?), Dieric Bouts; 1462 Description: Painting Portrait of a man (Jan van winckele?) Dieric Bouts 1462 Keywords: Cultural heritage, Europe, London, Museum/private collection, Painting, Techniques, United Kingdom Author: Dieric Bouts (c. 1410/1415-1475) Copyright: Paul M.R. Maeyaert

opencc-by-sa-4.0Nov 2024View details →

zenodo48/100

PM_152241_UK_London

File Name: PM_152241_UK_London.jpg Sublocation: The National Gallery Location: London Province: London, London Country: United Kingdom Header: Schilderij, Maria met Kind tussen de heiligen Petrus en Paulus, Dieric Bouts. ca 1465, detail Description: Painting Virgin and Child with Saints Peter and Paul Dieric Bouts Ca 1465 Detail Keywords: Cultural heritage, Europe, London, Museum/private collection, Painting, Techniques, United Kingdom Author: Dieric Bouts (ca 1410/1415-1475) Copyright: Paul M.R. Maeyaert

opencc-by-sa-4.0Nov 2024View details →

zenodo48/100

PM_152521_UK_London

File Name: PM_152521_UK_London.jpg Sublocation: The simon Collection of Belgian art Location: London Province: London, London Country: United Kingdom Header: Schilderij, James Ensor, Stilleven met lantaarn en groenten, 1900 (?); olieverf op doek, 54,5x65,5cm Description: Painting James Ensor Sill Life with a Lantern and Vegetables 1900 (?) Oil on canvas 54,5x65,5cm Keywords: Cultural heritage, Europe, London, Museum/private collection, Painting, Techniques, United Kingdom Author: James Ensor (1860-1949) Copyright: Paul M.R. Maeyaert

opencc-by-sa-4.0Nov 2024View details →

zenodo48/100

PM_152523_UK_London

File Name: PM_152523_UK_London.jpg Sublocation: The simon Collection of Belgian art Location: London Province: London, London Country: United Kingdom Header: Schilderij, James Ensor, Stilleven met lantaarn en groenten, 1900 (?); olieverf op doek, 54,5x65,5cm Description: Painting James Ensor Sill Life with a Lantern and Vegetables 1900 (?) Oil on canvas 54,5x65,5cm Keywords: Cultural heritage, Europe, London, Museum/private collection, Painting, Techniques, United Kingdom Author: James Ensor (1860-1949) Copyright: Paul M.R. Maeyaert

opencc-by-sa-4.0Nov 2024View details →

zenodo48/100

UK creators' earnings survey 2020 processed data

We have started to retrospectively harmonize the Music Creators Earnigs survey for the the Digital Music Observatory. The survey’s raw data is accessible on the website of the UKIPO <a href="https://www.gov.uk/government/publications/music-creators-earnings-in-the-digital-era">here</a>. Ex post harmonization will be limited, because of the following factors: <ul> <li>The MCE survey did not use harmonized questions in many cases</li> <li>The MCE surveys answers do not cover a full range of possible answers</li> <li>The MCE survey does not appear to represent the UK artists and music professionals.</li> </ul> Because of the bias of the survey, we did not include statistical indicators of the survey yet in our observatory, and we will make further processing steps in later versions of the data file. Nevertheless, because of the relatively large sample size (n=708) we believe that imporant comparisons can be made with our CEEMID surveys, and we can shed some light on the earnings distribution of UK artists, and the way they distribute and finance their recordings.

opencc-by-4.0Oct 2021View details →

zenodo48/100

Fostering safe food handling among consumers: Data from an online survey experiment with 1,973 consumers from Norway and the UK

Data and replication codes for the article "Fostering safe food handling among consumers: Causal evidence on game- and video-based online interventions". 1,973 participants from the UK and Norway, aged 18- 89 years, were assigned to (i) a control condition, or (ii) exposed to a brief information video, or (iii) in addition played an online game (two different conditions). In all conditions, participants answered a pre-survey and seven days later a post-survey. In the survey, next to collecting some information on sociodemographic background and certain preferences, subjects reported some recent food safety behaviors and we elicited beliefs in the efficacy of certain food safety actions, as well as beliefs in myths related to food and hygiene. We use this data set in our publication  Koch, A. K., Mønster, D., Nafziger, J., & Veflen, N. (2022). Fostering safe food handling among consumers: Causal evidence on game-and video-based online interventions. Food Control, 108825.

opencc-by-4.0Dec 2021View details →

zenodo48/100

Genome-wide association study suggests that variation at the RCOR1 locus is associated with tinnitus in UK Biobank

The dataset contains results of a genome-wide association studies for age-related hearing impairment (ARHI)-related traits as described in the following publication: Wells, H.R.R., Abidin, F.N.Z., Freidin, M.B. et al. Genome-wide association study suggests that variation at the RCOR1 locus is associated with tinnitus in UK Biobank. Sci Rep 11, 6470 (2021). https://doi.org/10.1038/s41598-021-85871-6

opencc-by-4.0Jun 2022View details →

zenodo48/100

Database of weeds in cultivation fields of France and UK, with ecological and biogeographical information

The database includes a list of 1577 weed plant taxa found in cultivated fields of France and UK, along with basic ecological and biogeographical information. The database is a CSV file in which the columns are separated with comma, and the decimal sign is ".". It can be imported in R with the command "tax.discoweed <- read.csv("tax.discoweed_18Dec2017_zenodo.csv", header=T, sep=",",  dec=".", stringsAsFactors = F)" Taxonomic information is based on TaxRef v10 (Gargominy et al. 2016), - 'taxref10.CD_REF' = code of the accepted name of the taxon in TaxRef, - 'binome.discoweed' = corresponding latine name, - 'family' = family name (following APG III), - 'taxo' = taxonomic rank of the taxon, either 'binome' (species level) or 'infra' (infraspecific level), - 'binome.discoweed.noinfra' = latine name of the superior taxon at species level (different from 'binome.discoweed' for infrataxa), - 'taxref10.CD_REF.noinfra' = code of the accepted name of the superior taxon at species level. The presence of each taxon in one or several of the following data sources is reported: - Species list from a reference flora (observations in cultivated fields over the long term, without sampling protocol), * 'jauzein' =  national and comprehensive flora in France (Jauzein 1995), - Species lists from plot-based inventories in cultivated fields, * 'za' = regional survey in 'Zone Atelier Plaine & Val de Sèvre' in SW France (Gaba et al. 2010), * 'biovigilance' = national survey of cultivated fields in France (Biovigilance, Fried et al. 2008), * 'fse' = Farm Scale Evaluations in England and Scotland, UK (Perry, Rothery, Clark et al., 2003), * 'farmbio' = Farm4Bio survey, farms in south east and south west of England, UK (Holland et al., 2013) - Reference list of segetal species (species specialist of arable fields), * 'cambacedes' = reference list in France (Cambacedes et al. 2002) Life form information is extracted from Julve (2014) and provided in the column 'lifeform'. The classification follows a simplified Raunkiaer classification (therophyte, hemicryptophyte, geophyte, phanerophyte-chamaephyte and liana). Regularly biannual plants are included in hemicryptophytes, while plants that can be both annual and biannual are assigned to therophytes. Biogeographic zones are also extracted from Julve (2014) and provided in the column 'biogeo'. The main categories are 'atlantic', 'circumboreal', 'cosmopolitan, 'Eurasian', 'European', 'holarctic', 'introduced', 'Mediterranean', 'orophyte' and 'subtropical'. In some cases, a precision is included within brackets after the category name. For instance, 'introduced(North America)' indicates that the taxon is introduced from North America. In addition, some taxa are local endemics ('Aquitanian', 'Catalan', 'Corsican', 'corso-sard', 'ligure', 'Provencal'). A single taxon is classified 'arctic-alpine'. Red list status of weed taxa is derived for France and UK: - 'red.FR' is the status following the assessment of the French National Museum of Natural History (2012), - 'red.UK' is based on the Red List of vascular plants of Cheffings and Farrell (2005), last updated in 2006. The categories are coded following the IUCN nomenclature. A habitat index is provided in column 'module', derived from a network-based analysis of plant communities in open herbaceous vegetation in France (Divgrass database, Violle et al. 2015, Carboni et al. 2016). The main habitat categories of weeds are coded following the Divgrass classification, - 1 = Dry calcareous grasslands - 3 = Mesic grasslands - 5 = Ruderal and trampled grasslands - 9 = Mesophilous and nitrophilous fringes (hedgerows, forest edges...) Taxa belonging to other habitats in Divgrass are coded 99, while the taxa absent from Divgrass have a 'NA' value. Two indexes of ecological specialization are provided based on the frequency of weed taxa in different habitats of the Divgrass database. The indexes are network-based metrics proposed by Guimera and Amaral (2005), - c = coefficient of participation, i.e., the propensity of taxa to be present in diverse habitats, from 0 (specialist, present in a single habitat) to 1 (generalist equally represented in all habitats), - z = within-module degree, i.e., a standardized measure of the frequency of a taxon in its habitat; it is negatve when the taxon is less frequent than average in this habitat, and positive otherwise; the index scales as a number of standard deviations from the mean.

opencc-by-4.0Dec 2017View details →

zenodo48/100

UK Low Carbon Technology Database (UKLCTD)

UK Low Carbon Technology Database (UKLCTD) Version used for revised paper submitted to Nature Energy: Sheridan Few, Predrag Djapic, Gpran Strbac, Jenny Nelson, Chiara Candelise, "A geographically disaggregated approach to integrate low-carbon technologies across local electricity networks" Overview This repository contains: (1) The United Kingdom Low Carbon Technology Database (UKLCTD), a collection of real geographically disaggregated data on current deployment of small scale photovoltaics (PV), heat pumps (HPs), electric vehicles (EVs), network inrastructure, domestic and nondomestic meter density, electricity demand, and rurality at an LSOA / Scottish Data Zone level. (UKLCTD.csv) (2) Scenarios for future deployment of PV, HPs, EVs, and battery storage upto 2050 at an LSOA level based upon current data, National Grid's Future Energy Scenarios (FES) and UKPN, NPG, and WPD's Distribution Future Energy Scenarios (DFES). (UKLCTD_Scenarios_DFES_base_[date].csv, 2050 file has PV deployment capped at two per meter) (3) Raw data from which each of the above are generated, and R scripts used to generate the above databases from raw data. Links to sources of raw data are included in scripts to facilitate upadates to this framework as new data becomes available. (UKLCTD.zip) Usage R scripts in the zip file have a short comment at the start describing their function. Before running, 'root_path' variable will need to be updated in each script to reflect the path these files are kept in on your local repository. The data may be explored using the following script: - Import_UKLCTD.R To generate the UKLCTD and scenarios from scratch, scripts are intended to be run in this order (names mostly self explanatory) - Generate_UKLCTD.R - Add_substations_to_UKLCTD.R - Add_Scottish_rurality_to_UKLCTD.R - Generate_NG_scenarios.R - Add_DFES_scenarios_w_plot.R - Cap_Deployment.R Each of these scripts generates data used by subsequent scripts. These are broken down into stages and commented as far as possible. Data Structure Data: All raw data is in "Input_Data". This data can be updated as new information becomes available (input data files, sheets, and cells referred to in the above scripts will likely need to be updated accordingly). Data produced by these scripts in "Intermediate Data" and "Output Data" folders depending on whether it is used by subsequent scripts. Plots are generated in the "Plots" folder Attribution If this framework has been useful, please cite the following papers outlining our methodology: Few, S., Djapic, P., Strbac, G., Nelson J., Candelise C. A geographically disaggregated approach to integrate low-carbon technologies across local electricity networks. Nat Energy (2024). <a href="https://doi.org/10.1038/s41560-024-01542-6" target="_blank" rel="noopener">https://doi.org/10.1038/s41560-024-01542-6</a> Few, S., Djapic, P., Strbac, G., Nelson J., Candelise C. Assessing Local Costs and Impacts of Distributed Solar PV Using High Resolution Data from across Great Britain. Renewable Energy 162 (2020) 1140–50. <a href="https://doi.org/10.1016/j.renene.2020.08.025" target="_blank" rel="noopener">https://doi.org/10.1016/j.renene.2020.08.025</a>

opencc-by-4.0Apr 2024View details →

zenodo48/100

UK Parliament Petition Website: Hourly count data

This dataset contains hourly counts of the number of signatures on each petition posted to the UK Parliament petition website from 2015-07-20 to 2016-09-12. The file is gzip compressed text data in tab-separated values format with four columns: <ul> <li>db_id: An internal id number</li> <li>pet_id: The id of the petition on the Parliament website (e.g., 131215 corresponds to the petition https://petition.parliament.uk/archived/petitions/131215 )</li> <li>sigs: The number of signatures observed at datetime.</li> <li>datetime: The date and time of the observation in YYYY-MM-DD HH:mm:SS format (e.g., 2015-07-20 18:24:35)</li> </ul> This data was collected via a Python scrapping script and initially stored in a MySQL database.

opencc-by-nc-sa-4.0Jun 2019View details →

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Nash's Field grassland experiment Silwood Park, UK

Nash's Field is one of the field experiments of Imperial College London, Silwood Park campus and is part of The Ecological Continuity Trust (<a href="https://www.ecologicalcontinuitytrust.org/" target="_blank" rel="noopener">ECT</a>). The experiment is a long-term study that aims to understand the degree to which nutrients, soil acidity and herbivory affect grassland ecology. It is a five-factor factorial experiment replicated in two blocks of plots using a split-plot design in a neutral grassland (MG5 Cynosurus cristatus/Centaurea debeauxii, under the UK National Vegetation Classification system). Overall, the experiment contains 8 invertebrate exclusion plots (± insects and ± molluscs, 22 x 44 m), 16 vertebrate exclusion plots (± rabbits, 22 x 22 m), 32 soil acidity plots (high vs low pH, 8 x 18 m), 96 plant competition plots (± grasses, ± herbs, 6 x 8 m) and 1,152 fertilization plots (12 combinations of N, P, K and Mg, 2 x 2 m). Except for herbicides, which were used only at the start of the experiment, all treatments have been applied continuously since 1992. Data of aboveground biomass or coverage per plant species of all herbaceous plants present has been collected annually for several years from 1992.

opencc-by-4.0Aug 2024View details →

zenodo48/100

Voxel-level summary statistics of hippocampus shape, white matter microstructure, and cortical surface curvature in UK Biobank (n=33,324)

This deposit hosts GWAS summary statistics of hippocampus shape (n=33,324), white matter microstructure (n=33,324), and cortical surface curvature (n=15,752) using UKB unrelated white subjects. The data was generated by using the highly efficient imaging genetics (<a href="https://github.com/Zhiwen-Owen-Jiang/heig">HEIG v1.1.0</a>) framework where only the triplets - summary statistics of low-dimensional representations (LDRs), the functional bases, and the variance-covariance matrix LDRs - are shared, which is sufficient to recover all voxel-variant pairs as well as to conduct voxel-level heritability and (cross-trait) genetic correlation analysis. Check the <a href="https://github.com/Zhiwen-Owen-Jiang/heig/wiki">tutorial</a> and the <a href="../records/13770930">example data</a> used in the tutorial.  The shared data includes: 1. Triplets for hippocampus shape measured by the radial distance from the medial model for each vertex. The original images contain 30,000 vertices while the shared data contains 49 LDRs. Left and right hemispheres were analyzed separately, each with 15,000 vertices. 2. Triplets for 21 white matter tracts measured by fractional anisotropy. The original images contain 32,217 voxels and each tract contains 88 ~ 3503 voxels while the shared data contains 1,034 LDRs. Tracts were analyzed separately. 3. Triplets for cortical surface curvature. The original images contain 59,412 vertices while the shared data contains 1,750 LDRs. The entire brain was analyzed as a whole. 4. LD matrix and its inverse for 22 chromosomes including 460k genotyped SNPs. LD matrix and its inverse were estimated by using two separate datasets each containing 8.4k white unrelated subjects in UKB. Two regularization levels are provided: {85%, 80%} for heritability and genetic correlations within images and {75%, 70%} for cross-trait genetic correlations. 5. LD matrix and its inverse for 22 chromosomes including 1.2 million imputed HapMap3 SNPs.  LD matrix and its inverse were estimated by using two separate datasets each containing 42k white unrelated subjects in UKB. Two regularization levels are provided: {98%, 95%} for heritability and genetic correlations within images and {90%, 85%} for cross-trait genetic correlations.

opencc-by-4.0Sep 2024View details →

zenodo48/100

plant diversity and terrain covariates at OAL-UK

dataset containing information on plant diversity and terrain covariates retrieved from the slopes OAL-UK. Samples were collected using 1 m2 quadrants following a stratified random sampling approach. The data set casts light on the relationship between shallow landslides, terrain covariates and plant diversity. The data set is linked to the following publication <a href="https://doi.org/10.1007/s10346-017-0822-y">https://doi.org/10.1007/s10346-017-0822-y</a>

opencc-by-4.0Aug 2021View details →

zenodo48/100

S104 | UKVETMED | UK Veterinary Medicines Directorate's List

This is the collection associated with list S104 UKVETMED UK Veterinary Medicines Directorate's List on the NORMAN Suspect List Exchange. <a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a> The UK Veterinary Medicines Directorate's list includes all veterinary medicines including active ingredients and excipients able to be used in the UK as of September 2022. This list of chemicals was compiled by Samuel Fletcher, Veterinary Medicines Directorate (UK) and provided by Kerry Sims, Environment Agency (UK). The list was compiled as follow-up to the <a href="https://www.envchemgroup.com/eb-35-chemical-of-concern.html">Prioritisation and Early Warning System (PEWS)</a> for chemicals of emerging concern in England, in which a number of these Veterinary Medicines have been considered.

opencc-by-4.0Apr 2023View details →

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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.

allen-brain-atlas

neuroscienceopenDocumentation, web resources, and API references are available online.

Last verified 2026-04-30Open record

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.

abode-home-cage

behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.

Last verified 2026-04-30Open record

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.

dandi-nwb

electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.

Last verified 2026-04-30Open record

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.

ibl

behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.

Last verified 2026-04-29Open record

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.

openneuro

neuroscienceopenPublished datasets are available on demand over the internet.

Last verified 2026-04-29Open record