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358 results for “The United Kingdom”
The Yomper - Portsmouth, United Kingdom
The Yomper, by sculptor Philip Jackson, Royal Marines Museum, Portsmouth, England. It is modelled on a photograph of Corporal Peter Robinson yomping to Sapper Hill during the Falklands War of 1982. **Integrated Immersive Marketing** Arena 360 is a solution provider, integrating • Google® Trusted Immersive Content • 3D Scans • 360º Media • Super HDR • Digital Twins [arena360.co.uk] Source: Objaverse 1.0 / Sketchfab
HEartS Professional Survey: Charting the effects of COVID-19 on working patterns, income, and wellbeing among performing arts professionals in the United Kingdom (April-May 2021)
<p>These data were collected using the <em>HEartS Professional Survey II</em> from performing arts workers in the United Kingdom in April–May 2021. <em>HEartS Professional II </em>is an adaptation of the <em>HEartS Professional I</em> survey which was used in April–June 2020 (<a href="https://doi.org/10.5061/dryad.s7h44j14z">https://doi.org/10.5061/dryad.s7h44j14z</a>). Both surveys were designed as multi-strategy data collection tools with two main purposes: (1) to chart working patterns, income, sources of support, and indicators of mental and social well-being in order to identify trends in the effects of the lockdown at the time and (2) to explore the individual work and wellbeing experiences of performing arts professionals in their own words, in order to identify the subjective effects of lockdown in terms of challenges and opportunities. The survey covers six areas: (1) demographics; (2) information on illness or self-isolation related to COVID-19; (3) work profiles and income; (4) changes to work profiles and income as a result of the pandemic, as well as sources of support; (5) open-response questions about work and wellbeing experiences of lockdown including challenges and opportunities; and (6) validated measures of health, wellbeing, and social connectedness.<span> The <em>HEartS Professional</em> surveys are adaptations of the Depression, loneliness, online survey, pandemic, performing arts professionals, Social Isolation, UK adult sample, well-being, Work </span>which charts the Health, Economic, and Social impacts of the ARTs (<a href="https://doi.org/10.5061/dryad.3r2280gdj">https://doi.org/10.5061/dryad.3r2280gdj</a>). </p>
Sample based prevalence data complementing the European Union One Health 2022 Zoonoses Report - the United Kingdom (Northern Ireland)
<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>
Flint from Norfolk United Kingdom
Flint from Norfolk, which is very dark blue to black in colour. It is a lovely material, very hard, often used locally as a building material and in the past used as tools. I'm more than happy for the use of this model for free, but I would be very interested to know how it is used and if there are any improvements I can make. Thanks Chris. Source: Objaverse 1.0 / Sketchfab
Effects of COVID-19 lockdown restrictions on parents' attitudes towards green space and time spent outside by children in Cambridgeshire and North London, United Kingdom
<p>1. In the United Kingdom, children are spending less time outdoors and are more disconnected from nature than previous generations. However, interaction with nature at a young age can benefit wellbeing and long-term support for conservation. Green space accessibility in the UK varies between rural and urban areas and is lower for children than for adults. It is possible that COVID-19 lockdown restrictions may have influenced these differences.</p> <p>2. In this study, we assessed parents' attitudes towards green space, as well as whether the COVID-19 lockdown restrictions had affected their attitudes or the amount of time spent outside by their children, via an online survey for parents of primary school-aged children in Cambridgeshire and North London, UK (n = 171). We assessed whether responses were affected by local environment (rural, suburban or urban), school type (state-funded or fee-paying) or garden access (with or without private garden access).</p> <p>3. Parents' attitudes towards green space were significantly different between local environments: 76.9% of rural parents reported being happy with the amount of green space to which their children had access, in contrast with only 40.5% of urban parents.</p> <p>4. COVID-19 lockdown restrictions also affected parents' attitudes to the importance of green space, and this differed between local environments: 75.7% of urban parents said their views had changed during lockdown, in contrast with 35.9% of rural parents. The change in amount of time spent outside by children during lockdown was also significantly different between local environments: most urban children spent more time inside during lockdown, whilst most rural children spent more time outside.</p> <p>5. Neither parents' attitudes towards green space nor the amount of time spent outside by their children varied with school type or garden access.</p> <p>6. Our results suggest that lockdown restrictions exacerbated pre-existing differences in access to nature between urban and rural children in our sampled population. We suggest that the current increased public and political awareness of the value of green space should be capitalised on to increase provision and access to green space and to reduce inequalities in accessibility and awareness of nature between children from different backgrounds.</p>
Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2019/2020 – The United Kingdom
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.</p> <p>Reporting authorities contributing to 2020 AMR data collection: Animal and Plant Health Agency</p>
Homogenisation of daily temperature and humidity series in the United Kingdom
<p>Data to accompany the publication "Homogenisation of daily temperature and humidity series in the United Kingdom". Building on previous experience with continental and global data sets, we use a quantile-matching approach to homogenise temperature and humidity series measured by a network of 220 stations in the United Kingdom (UK). The data set spans 160 years at daily resolution, although data coverage varies greatly in time, space, and across variables.</p>
Data from: Analysis of genotyping data reveals the unique genetic diversity represented by the breeds of sheep native to the United Kingdom
<p><strong>Background: </strong>Sheep breeds native to the United Kingdom are noted for high breed variability and exhibit a striking diversity of different traits in phenotypes and genetic diversity. Some of these traits are highly sustainable, such as seasonal wool shedding in the Wiltshire Horn, are likely to become more important as pressures on sheep production increase in coming decades. Despite their clear importance to the future of sheep farming, the genetic diversity of native UK sheep breeds is poorly characterised. This increases the risk of losing the ability to select for breed-specific traits from native breeds that might be important to the UK sheep sector in the future. Here, we use 50K genotyping to perform preliminary analysis of breed relationships and genetic diversity within native UK sheep breeds, as a first step towards a comprehensive characterisation. This study generates novel data for thirteen native UK breeds, including 6 on the UK Breeds at Risk (BAR) list, and utilises existing data from the publicly available Sheep HapMap dataset to investigate population structure, heterozygosity and admixture.</p> <p><strong>Results: </strong>In this study the commercial breeds exhibited high levels of admixture, weaker population structure and had higher heterozygosity compared to the other native breeds, which generally tend to be more distinct, less admixed, and have lower genetic diversity and higher kinship coefficients. Some breeds including the Wiltshire Horn, Lincoln Longwool and Ryeland showed very little admixture at all, indicating a high level of breed integrity but potentially low genetic diversity. Population structure and admixture were strongly influenced by sample size and sample provenance – highlighting the need for equal sample sizes, sufficient numbers of individuals per breed, and sampling across multiple flocks. The genetic profiles both within and between breeds were highly complex for UK sheep, reflecting the complexity in the demographic history of these breeds.</p> <p><strong>Conclusion: </strong>Our results highlight the utility of genotyping data for investigating breed diversity and genetic structure. They also suggest that routine generation of genotyping data would be very useful in informing conservation strategies for rare and declining breeds with small populations sizes. We conclude that generating genetic resources for the sheep breeds that are native to the UK will help preserve the considerable genetic diversity represented by these breeds, and safe guard this diversity as a valuable resource for the UK sheep sector to utilise in the face of future challenges.</p>
Material stock map of the United Kingdom and the Republic of Ireland
<p>Understanding the size and spatial distribution of material stocks is crucial for sustainable resource management and climate change mitigation. This study presents high-resolution maps of buildings and mobility infrastructure stocks for the United Kingdom (UK) and the Republic of Ireland (IRL) at 10 m, combining satellite-based Earth observations, OpenStreetMaps, and material intensities research. Stocks in the UK and IRL amount to 19.8 Gigatons or 279 tons/cap, predominantly aggregate, concrete and bricks, as well as various metals and timber. Building stocks per capita are surprisingly similar across medium to high population density, with only the lowest population densities having substantially larger per capita stocks. Infrastructure stocks per capita decrease with higher population density. Interestingly, for a given building stock within an area, infrastructure stocks are substantially larger in IRL than in the UK. These maps can provide useful insights for sustainable urban planning and advancing a circular economy.</p> <p>This dataset features a detailed map of material stocks in the United Kingdom and the Republic of Ireland on a 10m grid based on high resolution Earth Observation data (Sentinel-1 + Sentinel-2), crowd-sourced geodata (OSM) and material intensity factors.</p> <p><strong>Spatial extent</strong><br>This dataset covers the whole British Isles. Due to processing reasons, the dataset is internally structured into the Island of Ireland, and the Island of Great Britain.</p> <p><strong>Temporal extent</strong><br>The map is representative for ca. 2018.</p> <p><strong>Data format</strong><br>The data are organized by nations. Within each nation, data are split into 100km x 100km tiles (EQUI7 grid), and mosaics are provided.</p> <p>Within each tile, images for area, volume, and mass at 10m spatial resolution are provided. Units are m², m³, and t, respectively. Each metric is split into buildings, other, rail and street (note: In the paper, other, rail, and street stocks are subsumed to mobility infrastructure). Each category is further split into subcategories (e.g. building types).</p> <p>Additionally, a grand total of all stocks is provided at multiple spatial resolutions and units, i.e.</p> <ul> <li>t at 10m x 10m</li> <li>kt at 100m x 100m</li> <li>Mt at 1km x 1km</li> <li>Gt at 10km x 10km</li> </ul> <p>For each nation, mosaics of all above-described data are provided in GDAL VRT format, which can readily be opened in most Geographic Information Systems. File paths are relative, i.e. DO NOT change the file structure or file naming. </p> <p>Additionally, the grand total mass per nation is tabulated for each island in <em>mass_grand_total_t_10m2.tif.csv</em>. County code and the ID in this table can be related via zones_name_pop<em>.csv</em>.</p> <p><strong>Material layers</strong><br>Note that material-specific layers are not included in this repository because of upload limits. Only the totals are provided (i.e. the sum over all materials). </p> <p><strong>Further information</strong><br>For further information, please see the publication.<br>Visit our <a href="https://boku.ac.at/understanding-the-role-of-material-stock-patterns-for-the-transformation-to-a-sustainable-society-mat-stocks">website</a> to learn more about our project MAT_STOCKS - Understanding the Role of Material Stock Patterns for the Transformation to a Sustainable Society.</p> <p><strong>Publication</strong></p> <p>D. Wiedenhofer, F. Schug, H. Gauch, M. Lanau, M. Drewniok, A. Baumgart, D. Virág, H. Watt, A. Cabrera Serrenho, D. Densley Tingley, H. Haberl, D. Frantz (2024): Mapping material stocks of buildings and mobility infrastructure in the United Kingdom and the Republic of Ireland. <em>Resources, Conservation and Recycling</em> 206, 107630. <a href="https://doi.org/10.1016/j.resconrec.2024.107630">https://doi.org/10.1016/j.resconrec.2024.107630</a></p> <p><strong>Funding</strong><br>This research was primarly funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (MAT_STOCKS, grant agreement No 741950). </p> <p><strong>Acknowledgments</strong><br>We thank the European Space Agency and the European Commission for freely and openly sharing Sentinel imagery; Microsoft for Building Footprints; Geofabrik and all contributors for OpenStreetMap.This dataset was partly produced on <a href="https://eodc.eu/">EODC</a> - we thank Clement Atzberger for supporting the generation of this dataset by sharing disc space on EODC, and Wolfgang Wagner for granting access to preprocessed Sentinel-1 data.</p>
AI results complementing the 2020 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - The United Kingdom
<p>This dataset contains the results of the EU co-funded surveillance activities conducted in 2020, which consisted of:</p> <ul> <li>Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI).</li> <li>Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund</li> </ul> <p>Disclaimer: Data collected by the UK at national level prior to 31/01/2020 has been used in EFSA data reports as is related to a period in which this country was still a European Union Member State.</p>
Sample based prevalence data complementing the European Union One Health 2021 Zoonoses Report - the United Kingdom (Northern Ireland)
<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>
Dataset: Surveys (Tourists, Locals, Users). St. Georges Cultural Quarter (Leicester) & Ouseburn Valley (Newcastle upon Tyne). United Kingdom
<p>Dataset of 6 survey processes applied to different populations –locals, tourists and users– from St. George´s Cultural Quarter (Leicester) and the Ouseburn Valley (Newcastle Upon Tyne) between September 2016 and April 2020.</p> <p>Dataset with the answers to a series of questionnaires carried out to determine the brand awareness of the cultural and creative districts of Leicester, the St. George's Quarter, and Newcastle Upon Tyne, the Ouseburn Valley.</p> <p>In total, six survey processes have been carried out in which two different questionnaires have been used. The first of them is aimed at tourists and locals from Leicester and Newcastle Upon Tyne and, the second, at users of their districts St. George's Quarter and the Ouseburn Valley.</p> <p>The first questionnaire aims to determine the notoriety of the districts among tourists and locals. Hence two different survey processes were carried out using the same questionnaire, one among tourists and the other among locals. The questionnaire contains a total of 16 questions, some of them open and others closed, and is made up of five blocks intended to analyze:</p> <ol> <li>Sociodemographic characteristics. Through the first two questions of the questionnaire, the aim is to obtain sociodemographic data of the sample surveyed, such as age and sex.</li> <li>Degree of knowledge of the concept of cultural and creative districts in the city of Leicester/Newcastle Upon Tyne. This section aims to study the degree of spontaneous and suggested notoriety of the district and its logo among the public, whether tourists or locals. It asks, directly and indirectly, about some cultural and creative districts in the city and their corporate visual identity. First, it is done indirectly (spontaneous awareness) and then directly and concretely (suggested awareness).</li> <li>Degree of knowledge of different institutions, companies or organizations in the district. This part aims to detect whether the local public knows the most relevant actors in the district, regardless of whether or not the respondent is aware of the name given to the space. For this, participants are asked about the most representative areas of each district and other general activities that they may know about.</li> <li>Motivation to attend, know, use and visit the district regularly. This block aims to determine the reasons why the respondents make use of a cultural and creative district, as well as the frequency with which they visit it.</li> <li>Opinions, variables, values and characteristics linked to cultural and creative districts in general. The respondents are asked about the importance that these spaces in the city have for them and why.</li> </ol> <p>The questionnaire includes both mandatory questions and other optional ones, considering that those people who were unaware of a cultural and creative district or certain spaces within it could not answer some of the questions. It is worth noting some details of each survey process:</p> <ul> <li>The first survey process was carried out in person in September 2016 among tourists and visitors in Leicester, in the city centre, at the Leicester Tourist Office located at Gallowtree Gate.</li> <li>The second survey process took place between September and December 2017 among the inhabitants of Leicester. It was carried out in person in the city centre (specifically at Haymarket Memorial Clock Tower, Humberstone Gate and at the De Montfort University campus) and in the surroundings of Leicester's cultural and creative district (in Rutland Street).</li> <li>The third and fourth survey processes were carried out between September and December 2018 among the inhabitants and tourists of Newcastle Upon Tyne, respectively. Both processes were carried out in person in the city centre (specifically in Eldon Square, Grey's Monument, Northumberland Street and Newgate Street).</li> </ul> <p>During all these processes, the necessary instructions were given to the respondents so that they could answer the questionnaire correctly, in person and orally, and the answers obtained were recorded on a digital tablet.</p> <p>In Leicester, 50 surveys were carried out among tourists and 306 among locals. On the other hand, in Newcastle Upon Tyne, 62 surveys were carried out among tourists and 60 among locals. All of these surveys were carried out in person.</p> <p>In addition, another survey process different from the ones described above was carried out, for which a second questionnaire was used. This questionnaire has a similar structure to the first and many of the blocks are common, but focuses on understanding the reasons that led current users to a cultural and creative district become such, and how they make use of the district and its logo, its corporate visual identity, its nature as a cultural and creative space, the existing information about it, etc. The main objective of this second questionnaire, beyond determining the suggested notoriety of the districts of St. George's Quarter and the Ouseburn Valley among its users, has focused on studying the phenomenology described. To do this, a total of 17 questions are combined, some of them open and others closed, distributed into five blocks intended to analyse:</p> <ol> <li>Sociodemographic characteristics. Through the first three questions of the questionnaire, the aim is to obtain sociodemographic data of the sample surveyed, such as age, gender and current employment status.</li> <li>Opinions, variables, values and characteristics linked to cultural and creative districts in general. Respondents are asked about the importance of these spaces in the city and why they are important (if respondents consider they are).</li> <li>Degree of awareness of the nature of the cultural and creative districts among their users. This section aims to study the degree of suggested notoriety of a district and its logo among users. It asks directly about the identification of the space as a cultural and creative district and the knowledge (or not) of its corporate visual identity.</li> <li>Degree of knowledge and use of the different institutions, companies, organizations and actors in the district. This part aims to detect the level of knowledge and frequency of use of the most relevant spaces in a district by the surveyed users. Respondents are asked about the most representative areas of each district and other general activities that they may know about in them.</li> <li>Motivation to attend, get to know and visit the district regularly. This block aims to determine the reasons why respondents make use of a cultural and creative district, as well as the frequency with which they visit the space and with whom they do so. In addition, it focuses on studying how they get to it (public transport, walking, car,...) and through which means (social networks, traditional media, word of mouth,...) the surveyed users are aware of the different events that take place in the corresponding district.</li> </ol> <p>The questionnaire includes both mandatory questions and other optional ones, once again considering that those people who may be unaware of certain spaces in the cultural and creative district or certain features of it may not be able to answer some of the questions.</p> <p>Both survey processes were carried out online between March and April 2019 and 65 responses have been obtained among users of the St. George's Quarter and 86 among users of the Ouseburn Valley.</p> <p>During all the survey processes, the necessary instructions were given to the respondents so that they could answer the questionnaire correctly. Likewise, they were informed of the nature of the investigation and the identity of the interviewer, and also were provided with a contact email to send any questions or suggestions.</p> <p>In this case, the questionnaire was prepared using Google Forms and distributed from March 1 to April 30, 2020 "online" through "e-mailing" and Social Networks such as Google +, Facebook, Twitter and Instagram. For this, the different workers in the areas of interest were identified thanks to the web directories available on the corporate pages of each cultural, creative, educational actor, etc. and were contacted. In addition, concerning social networks, the questionnaire was distributed using various specific interest groups existing in the districts and through the corporate accounts of the actors in the districts, which facilitated the distribution of the questionnaire on their profiles on social networks.</p>
Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – The United Kingdom (Northern Ireland)
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.</p> <p>Reporting authorities contributing to 2021 AMR data collection: DAERA (Northern Ireland)</p>
Model data and code supporting "Updated Isoprene and Terpene Emission Factors for the Interactive BVOC Emission Scheme (iBVOC) in the United Kingdom Earth System Model (UKESM1.0) "
<p>Model data and analysis code supporting the Geoscientific Model Development manuscript "Updated Isoprene and Terpene Emission Factors for the Interactive BVOC Emission Scheme (iBVOC) in the United Kingdom Earth System Model (UKESM1.0) "</p> <p> </p> <p> </p>
Industry funding of patient organisations in the United Kingdom: A retrospective study of commercial determinants, funding concentration and disease prevalence
<p><strong>Objectives</strong> – To assess the relationship between UK-based patient organisation funding and companies' commercial interests in rare and non-rare diseases in 2020.</p> <p><strong>Design</strong> – Retrospective analysis of the value and volume of payments from pharmaceutical companies to patient organisations in the UK matched with data on the conditions supported by patient organisations and drugs in companies' approved portfolios and research and development pipelines.</p> <p><strong>Setting</strong> – UK.</p> <p><strong>Participants</strong> – 74 pharmaceutical companies making payments to 341 UK-based patient organisations.</p> <p><strong>Main outcome measures</strong> – Alignment between the commercial interests of pharmaceutical companies and the disease area focus of patient organisations; difference in the volume and value of payments to patient organisations broken down by prevalence of conditions; industry funding concentration, measured as the number of companies funding each patient organisations, the share of overall industry funding coming from each contributing company and the share of industry funding of each organisation comprised by the single highest payments.</p> <p><strong>Results</strong> – 1,422 payments were made by 74 companies to 341 patient organisations. Almost all funds (90%) from pharmaceutical companies were directed to patient organisations that are aligned with companies' approved drug portfolios and research and development pipelines. Despite rare diseases affecting less than 5% of the UK population, more than 20% of all payments were directed to patient organisations which target such conditions. Patient organisations focusing on rare diseases relied on payments from fewer companies (p-value = 0.0031) compared to organisations focusing on non-rare diseases.</p> <p><strong>Conclusions</strong> – Companies predominantly funded patient organisations operating in therapeutic areas relevant to companies' portfolio or drug development pipeline. Patient organisations focusing on rare diseases received more funding relative to the number of patients affected by these conditions and relied more heavily on payments from fewer companies compared to organisations targeting non-rare diseases. Increased independence of patient organisations could help avoiding conflicts of interest.</p>
Online classified adverts reflect the broader United Kingdom trade in turtles and tortoises rather than drive it.
<p>The accompanying file represents a flat dataset as used in the article: "Online classified adverts reflect the broader United Kingdom trade in turtles and tortoises rather than drive it."</p> <p>Any potentially personal or sensitive information was removed at the collection and processing stages and seller names or IDs (as listed on the original adverts) have been anonymised.<br> </p>
Lineage replacement and evolution captured by three years of the United Kingdom Covid Infection Survey
<p>The Office for National Statistics COVID-19 Infection Survey (ONS-CIS) is the largest surveillance study of SARS-CoV-2 positivity in the community and collected data on the United Kingdom (UK) epidemic from April 2020 until March 2023 before being paused. Here, we report on the epidemiological and evolutionary dynamics of SARS-CoV-2 determined by analysing the sequenced samples collected by the ONS-CIS during this period. We observed a series of sweeps or partial sweeps, with each sweeping lineage having a distinct growth advantage compared to its predecessors. The sweeps also generated an alternating pattern in which most samples had either S-gene target failure (SGTF) or non-SGTF over time. Evolution was characterised by steadily increasing divergence and diversity within lineages but with step increases in divergence associated with each sweeping major lineage. This led to a faster overall rate of evolution when measured at the between-lineage level compared to within-lineages, and fluctuating levels of diversity. These observations highlight the value of viral sequencing integrated into community surveillance studies to monitor the viral epidemiology and evolution of SARS-CoV-2, and potentially other pathogens, particularly in the current phase of the pandemic with routine RT-PCR testing now ended in the community.</p>
Trends in the Epidemiology and Treatment of Atopic Dermatitis in the United Kingdom (UK)
ClinicalTrials.gov study NCT03823794. IPD Sharing: YES. Countries: 1. Publications: 3.
A CBT-based Internet Intervention for Adults With Tinnitus in the United Kingdom
ClinicalTrials.gov study NCT02370810. IPD Sharing: Not stated. Countries: 1. Publications: 3.
United Kingdom User Evaluation, MiniMed Paradigm® X54 System
ClinicalTrials.gov study NCT01267175. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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.