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3,409 results for “UK”
Results for 2,230 UK Biobank binary and continuous traits
<p>Results for 2,230 UK Biobank binary and continuous traits. </p> <p>We applied the gene-based tests (Gene1D, Gene3D, GeneScan1D and GeneScan3D) to 1,403 UK Biobank binary phecodes and 827 continuous phenotypes (797 continuous traits + 30 biomarkers) using GWAS summary statistics on 28 million imputed variants. </p> <p>The results are in 3 different zipped folders: 'GeneScan3D_UKBB_1403binary_results.zip', 'GeneScan3D_UKBB_797continuous_results.zip' and 'GeneScan3D_UKBB_30biomarkers_results.zip'. A list of all 2,230 binary and continuous phenotypes is available in excel file 'UKBB_phenotype_description.xlsx'.</p> <p>Reference: Ma, S., Dalgleish, J. L ., Lee, J., Wang, C., Liu, L., Gill, R., Buxbaum, J. D., Chung, W., Aschard, H., Silverman, E. K., Cho, M. H., He, Z. and Ionita-Laza, I. "Improved gene-based testing by integrating long-range chromatin interactions and knockoff statistics", 2021</p>
The Relationship between Vitamin D Status, Intake and Exercise Performance in UK University-level Athletes and Healthy Inactive Controls
<p>The potential ergogenic effects of vitamin D (vitD) in high performing athletes has received considerable attention in the literature and media. However, little is known about non-supplemented university athletes and students residing at a higher latitude. This study aimed to investigate the effects of vitD (biochemical status and dietary intake) on exercise performance in UK university athletes and sedentary students. Physically healthy male and female university students and athletes from the University of Surrey (51.2ºN) were recruited between January and March (2018) to take part in this study. A total of 50 participants (n= 24 males, n= 26 females) were included, 34 (n=18 male, n=16 female) were university athletes competing in a variety of sports. </p> <p>Fasted serum vitD status and sunlight exposure were assessed using LC-MS/MS and dosimetry, respectively. Body composition was measured through the use of a dual-energy x-ray absorptiometry (DEXA) whole body scan (Hologic QDR, Hologic inc. USA). Muscular strength of the upper and lower body was assessed using dominant arm handgrip and knee extensor dynamometry (KE) of the non-dominant leg. Countermovement jump (CMJ) and aerobic fitness were measured using an Optojump and VO<sub>2max</sub> test using a stationery cycle ergometer, respectively.</p>
Population disruption: estimating changes in population distribution in the UK during the COVID-19 pandemic - Estimates for Local Authority Districts
<p><strong>Overview:</strong></p> <p>Population estimates from the publication: <em>Population disruption: estimating changes in population distribution in the UK during the COVID-19 pandemic.</em> </p> <p>Population estimates were aggregated to Local Authority Districts (LADs). </p> <p><strong>Methodology: </strong></p> <p>Population estimates were extracted from Bing Tiles (Zoom Level 12) to 2019 LADs by assigning tiles to LADs by their percent areal overlap. This method assumes constant population distribution across a single Bing Tile.</p> <p>2019 LAD boundaries are available from the <a href="https://geoportal.statistics.gov.uk/datasets/local-authority-districts-december-2019-boundaries-uk-bfc/explore">UK Government Open Geography Portal</a>.</p> <p> </p>
UK Research Software Survey 2014
<p>This spreadsheet contains the anonymised data collected as part of a survey of UK researchers in their use of research software.</p> <p>We asked people specifically about “research software” which we defined as:</p> <blockquote> <p>“Software that is used to generate, process or analyse results that you intend to appear in a publication (either in a journal, conference paper, monograph, book or thesis). Research software can be anything from a few lines of code written by yourself, to a professionally developed software package. Software that does not generate, process or analyse results - such as word processing software, or the use of a web search - does not count as ‘research software’ for the purposes of this survey.”</p> </blockquote> <p>We contacted 1,000 randomly selected researchers at each of 15 Russell Group universities. From the 15,000 invitations to complete the survey, we received 417 responses – a rate of 3% which is fairly normal for a blind survey. We used Google Forms to collect responses.</p> <p>The responses have good representation from across the disciplines, seniorities and genders. This is a statistically significant number of responses that can be used to represent the views of people in research-intensive universities in the UK.</p> <p>An overview of the data is available on the worksheet "Summary data". Responses to questions are ordered by unique respondent ID. Please read the "README" worksheet for additional information about the collection and processing of this data.</p> <p>This survey data is licensed under a Creative Commons by Attribution licence. Copyright resides with The University of Edinburgh on behalf of the Software Sustainability Institute.</p> <p>Please cite as:</p> <p><strong>APA</strong></p> <p>Hettrick. S. J., et al. (2014). UK Research Software Survey 2014 [Data set]. doi:10.5281/zenodo.14809</p> <p><strong>Chicago</strong></p> <p>S.J. Hettrick et al, UK Research Software Survey 2014 (accessed December 4, 2014), 10.5281/zenodo.14809.</p> <p><strong>MLA</strong></p> <p>Hettrick S.J., et al. “UK Research Software Survey 2014” ZENODO, 2014. Web. 4 December 2014. .</p>
Permaculture UK, 2016
<p>This data set includes all Permaculture projects in the UK. It was produced by Jeremy Kidwell as a part of a research project “Finding Common Ground” that was jointly funded by the AHRC/ESRC (Grant Ref: AH/P005063/1) and based jointly at the University of Edinburgh and the University of Birmingham. Because it is derived from the Permaculture UK website, this data has been made available for academic use under the same (i.e. “sharealike”) Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0) license. For full details, see: http://creativecommons.org/licenses/by-sa/3.0/legalcode.</p>
sea-surface temperature proxy data (TEX86 and UK'37) from Ocean Drilling Program Site 1168
<p>These 2 data files contain the TEX86 and UK'37 sea surface temperature proxy data from Ocean Drilling Program Site 1168, covering the Eocene to recent (35–0 Ma). These were updated compared to previous versions, wherein some alkenone data was omitted.</p>
Fig. 11. Bayesian inference trees. A. 16S rRNA dataset. B. Cytochrome oxidase I in Designation of a neotype for Myxicola infundibulum (Montagu, 1808) (Annelida: Sabellidae) and a new species from the UK
Fig. 11. Bayesian inference trees. A. 16S rRNA dataset. B. Cytochrome oxidase I gene dataset. The first value at each node represents maximum likelihood bootstrap support, the second the Bayesian posterior probabilities and the third the maximum parsimony bootstrap support.
Fig. 10 in Designation of a neotype for Myxicola infundibulum (Montagu, 1808) (Annelida: Sabellidae) and a new species from the UK
Fig. 10. Myxicola polychroma sp. nov. A. Radiole tip illustrating basal membrane and extent of pinnulae (NMW.Z.2019.023.0024). B. Cross-section of radiole (NMW.Z.2019.023.0018). C–G. NMW.Z.2019.023.0024. C. Dorsal lips, ventral lips and radiolar lobes. D. Anterodorsal view showing ventral lobe and glandular ridge. E. Thoracic chaeta, chaetiger 4. F. Thoracic uncinus, chaetiger 4. G. Abdominal uncinus, chaetiger 12. Scale bars: A, C–D = 1 mm; B = 100 µm; E–F = 50 µm; G = 20 µm.
Fig. 8 in Designation of a neotype for Myxicola infundibulum (Montagu, 1808) (Annelida: Sabellidae) and a new species from the UK
Fig. 8. Myxicola polychroma sp. nov. A. Anterodorsal view (NMW.Z.2019.023.0023). B. Anterodorsal view (holotype, NMW.Z.2019.023.0015). C. Radiolar tips (NMW.Z.2019.023.0024). D. Dorsal and ventral lips (NMW.Z.2019.023.0023). E. Anterolateral view (NMW.Z.2019.023.0023). F. Tube. Scale bars: A, F = 10 mm; B–C = 5 mm; D–E = 1 mm.
Fig. 7 in Designation of a neotype for Myxicola infundibulum (Montagu, 1808) (Annelida: Sabellidae) and a new species from the UK
Fig. 7. Images of live Myxicola polychroma sp. nov. demonstrating different colour morphs. A. White crown, Martin's Haven, Wales. B. Orange crown, Martin's Haven, Wales. C. Green crown, Loch Duich, Scotland. D. Orange body, Loch Duich, Scotland. E. White-cream body, Loch Duich, Scotland. Photos courtesy of Rhian Lewis James (A–B) and Chris Rickard (C–E).
Fig. 9 in Designation of a neotype for Myxicola infundibulum (Montagu, 1808) (Annelida: Sabellidae) and a new species from the UK
Fig. 9. Myxicola polychroma sp. nov., NMW.Z.2019.023.0024. A. Thoracic chaetae, chaetiger 4, white arrow indicates thoracic uncini. B. Thoracic uncini, chaetiger 4. C. Abdominal chaetae, chaetiger 11. D. Abdominal uncini, top view. E. Abdominal uncini, lateral view. Scale bars: A = 100 µm; B, D–E = 10 µm; C = 50 µm.
Fig. 5 in Designation of a neotype for Myxicola infundibulum (Montagu, 1808) (Annelida: Sabellidae) and a new species from the UK
Fig. 5. Myxicola infundibulum (Montagu, 1808), NMW.Z.2019.023.0002. A. Thoracic chaetae, chaetiger 1. B. Thoracic chaetae, chaetiger 4, white arrow indicates thoracic uncini. C. Thoracic uncini, chaetiger 4. D. Abdominal uncini, chaetiger 9. Scale bars: A = 200 µm; B = 20 µm; C–D = 10 µm.
Fig. 3 in Designation of a neotype for Myxicola infundibulum (Montagu, 1808) (Annelida: Sabellidae) and a new species from the UK
Fig. 3. Images of live Myxicola infundibulum (Montagu, 1808) demonstrating different colour morphs. A. White crown, Portland Harbour, England. B. Pink crown, Portland Harbour, England. C. Red crown, Gann Flats, Wales. D. Cream-yellow body, Kingsbridge estuary, England. E. Orange body, Kingsbridge estuary, England.
Fig. 4 in Designation of a neotype for Myxicola infundibulum (Montagu, 1808) (Annelida: Sabellidae) and a new species from the UK
Fig. 4. Myxicola infundibulum (Montagu, 1808). A–D. Neotype (NMW.Z.2019.023.0001). A. Antero-dorsal view. B. Anteroventral view. C. Radiolar tips. D. Dorsal and ventral lips, anterior view. E. NMW.Z.2019.023.0003. Live specimen in tube, entire. F. Neotype (NMW.Z.2019.023.0001). Anterolateral view. Scale bars: A–B, E–F = 10 mm; C–D = 1 mm.
Fig. 2 in Designation of a neotype for Myxicola infundibulum (Montagu, 1808) (Annelida: Sabellidae) and a new species from the UK
Fig. 2. Map showing the type localities of both valid (bold type) and invalid species of Myxicola in Europe.
Fig. 1 in Designation of a neotype for Myxicola infundibulum (Montagu, 1808) (Annelida: Sabellidae) and a new species from the UK
Fig. 1. Map showing the distribution of Myxicola infundibulum (Montagu, 1808) (closed circles) and M. polychroma sp. nov. (open circles) around the British Isles, based on validated specimens and photographs. Grey circles indicate an undetermined species of Myxicola in northeast England. Type locality of Myxicola infundibulum indicated by black arrow.
Surface retreat rate from gullies at an eroding blanket bog, Aberdeenshire, UK.
<p>Surface retreat rate (erosion rate) or peat from seven erosion gullies within an eroding blanket bog. The bog is on a large high-altitude plateau blanket bog in the eastern part of the Cairngorms National Park, Scotland, UK (56.93° N, − 3.16° E, 642 m asl). </p> <p> Within each erosion gully, 9 1m steel pins (threaded rod) were inserted into the peat until they reached bed rock or were almost competely submerged (but still visible). The pins were oriented in a 1m2 square with 0.5m between each pin. Approximately every 2-4 months the distance between the top of each pin and the top of the peat was measured (measuring to the lowest point at which peat surace intersects with the pin).</p> <p>The dataset shows:</p> <p>Date: date at which the measurement was taken</p> <p>Gully: The gully number (1-7)</p> <p>Pin: The pin number within each gully (1-9)</p> <p>dL: Change in exposed length of pin (cm) compared to the start date of 27/09/2022</p>
Vulnerability tools - Highlands and Islands (UK-Scotland)
<p><span>The MOVING project has developed accessible <strong>tools </strong>designed to assess susceptibility and vulnerability within the region, ready to be used by both experts and the general audience. This document synthesises crucial information for the Highlands and Islands Region, particularly focusing on the Participatory Vulnerability Matrix and the Spatial Vulnerability Map. Furthermore, it includes <strong>supplementary maps and figures </strong>detailing various aspects such as the delineation of Reference Landscape, distribution of land systems, areas affected by wildfires, susceptibility to floods across different return periods, severity of forest disturbances, rainfall erosivity, and more.</span></p>
Fig 7 in The last giants: New evidence for giant Late Triassic (Rhaetian) ichthyosaurs from the UK
Fig 7. Surangular comparisons between the holotype (BRSMG Cg3178, BAS specimen) and referred specimen (BRSMG Cg2488, Lilstock specimen) of Ichthyotitan severnensis gen. et sp. nov., with a comparable section of surangular from a specimen of Ophthalmosaurus icenicus (MJML K2577). A. BRSMG Cg3178 and MJML K2577 illustrating the distance between the M.A.M.E. and coronoid process. B. BRSMG Cg2488 and MJML K2577 are positioned obliquely in lateral view (with MJML K2577 rotated and held closer to the camera), illustrating the general shape of the ichthyosaurian surangular. https://doi.org/10.1371/journal.pone.0300289.g007
Fig 5. A in The last giants: New evidence for giant Late Triassic (Rhaetian) ichthyosaurs from the UK
Fig 5. A. Comparable sections for core drill(s) sampling position indicated by a white circle of (from left to right) BRSMG-Cb-3869 (an Aust bone, most probably a surangular), BRSMG Cg3178 (BAS surangular), BRSMG-Cg-2488 R-101 (Lilstock surangular). White arrows point to elongated surangular foramen. B. Binary drawings produced from stitched photos of the thin sections (respectively BRSMG-Cb-3869, BRSMG Cg3178 and BRSMG-Cg-2488 R-101) showing longitudinal vascularization and larger nutrient canals. Blue bars (upper) indicate extension of outer cortex, orange (middle) for deep cortex and pink (lower) for spongious trabecular bone. https://doi.org/10.1371/journal.pone.0300289.g005
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.