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536 results for “Office”
Met Office ocean glider investigation plots
<p>These plots are the results of a Met Office investigation into the impact of using ocean glider observations on the AMM15 model. These plots are a supplement to a report currently in development.</p>
SIS Versus Office Hysteroscopy for Uterine Cavity Evaluation Prior to IVF
ClinicalTrials.gov study NCT04415489. IPD Sharing: YES. Countries: 1. Publications: 1.
Patterns in bird and pollinator occupancy and richness in a mosaic of urban office parks across scales and seasons
Open the record for dataset details and reuse information.
International Labour Office Historical Studies and Reports English
<p>This is a collection of English texts based on historical reports from the International Labour Office from the 20th century. The original documents can be found at <a href="https://www.ilo.org/public/libdoc/ilo/ILO-SR/">https://www.ilo.org/public/libdoc/ilo/ILO-SR/</a></p> <p>This collection may be used and distributed provided that the International Labour Office is always duly acknowledged as the original source and that the use is non-commercial.</p> <p>The collection was created with the tools <a href="https://curl.haxx.se/">curl</a>, <a href="https://ocrmypdf.readthedocs.io/">OCRmyPDF</a>, <a href="https://poppler.freedesktop.org/">Poppler</a> and the following script on Debian GNU/Linux.</p> <pre><code class="language-bash">curl https://www.ilo.org/public/libdoc/ilo/ILO-SR/ | grep -o 'ILO[^"]*engl[^"><\/]*' | uniq | sed 's,ILO,https://www.ilo.org/public/libdoc/ilo/ILO-SR/ILO,g' > list_of_files.txt xargs -n 1 curl -O < list_of_files.txt rm list_of_files.txt find . -name '*.pdf' -exec ocrmypdf --language eng --deskew --clean '{}' '{}' \; && find . -name '*.pdf' -exec pdftotext '{}' '{}.txt' \; rm *.pdf</code></pre>
Dataset: Sickness absence and sickness presence in relation to office type
<p>This is a minimal de-identified dataset for the analyses run in the following paper:</p> <p>Platts LG, Seddigh A, Berntson E, Westerlund H (2020) Sickness absence and sickness presence in relation to office type: An observational study of employer-recorded and self-reported data from Sweden. PLoS ONE 15(4): e0231934. https://doi.org/10.1371/journal.pone.0231934</p> <p>Given the restrictions we have from the ethical review board and considering that sensitive personal data are handled, we are not able to make the data freely available. The data may only be provided to other researchers in line with Swedish law and after consultation with the Stockholm University legal department. Researchers wishing to access the minimal de-identified data set, stored at Stockholm University can make a formal request to <a href="mailto:registrator@su.se">registrator@su.se</a> with the reference StressResearchInstitute_SeddighOfficeProject_SicknessAbsence.dta.</p>
The officer of the Life Guards Cossack Regiment
The officer of the Life Guards Cossack Regiment |Урядник Лейб-Гвардии Казачьего полка Source: Objaverse 1.0 / Sketchfab
Arcade & stair over an arch - MAS design office
This is a totally sustainable project under construction in Amman, Jordan. Built by local stone using thick load baring walls 1 m width with different ceilings type like a cross vault, catenary vaults, domes on four squinches & Shallow domes, as well as trying to add a local architecture vocabulary from our regain ( arch details, patterns, Muqarnas....) our target to set this project as a good sample of traditional construction method and help others to start similar projects مشروع بناء بيت من الحجر باستعمال اسلوب المعماري حسن فتحي، حيث الجدران الحجرية السميكة الحاملة للثقل والأسقف من القباب والقبوات المتقاطعة والقبوات العادية، وتم استعمال موروث بلاد الشام من مقرنصات وزخرفة وأقواس، في إضافة الطابع المحلي للتفاصيل المعمارية. نأمل دعمكم في نشر هذه الطريقة للبناء بدون حديد وخرسانة . المشروع في منطقة شفا بدران ، عمّان ، الأردن location: https://goo.gl/maps/wQFF85LZJDug5WLf9 Source: Objaverse 1.0 / Sketchfab
Office by the Ore Loading Pit in Mine La Motte
This a model of the catwalk area next to the ore loading pit at the end of the haul road that runs to the east. There is a doorway and windows that lead into an office. Source: Objaverse 1.0 / Sketchfab
Medical Office, Sander's Bay
At Sander's Bay, female lepers were accommodated. Males were housed at the neighbouring Coco Bay in order to reduce sexual contact. A strict morality was enforced by the Dominican Sisters who oversaw the settlement. However, all of this changed during World War II when the Medical Superintendent give authorisation for males and females to visit one another before 6pm, much to the chagrin of the Dominican Nuns. After this new rule was applied, the birth rate increased on the island and a nun was trained at the colonial hospital to assist with deliveries. It must be added that immediately after the birth, the child was placed in an orphanage never to see their parents again. Not much is left of the colony today. Many of the structures have fallen to ruins over time or have been overtaken by nature. Text by Josh Lu: https://medium.com/@jlckcreative/the-ruins-of-chacachacare-island-part-1-2dcba3bdc021 Source: Objaverse 1.0 / Sketchfab
Polish Air Force in the West officers's cap
ID no.: MLP 755/1 Museum: Polish Aviation Museum http://muzea.malopolska.pl/en/obiekty/-/a/26873/1124080 Digitalisation: RDW MIC, Małopolska's Virtual Museums project Source: Objaverse 1.0 / Sketchfab
CMAD: A Dataset of Conflicting Marks from the Brazilian Intellectual Property Office
<p>CMAD, an acronym for Conflicting Marks Archive Dataset, is a dataset that has been meticulously organized into pairs of marks (Number of pairs=18,355) involved in conflicts of copyright infringement between word, figurative and mixed marks. Marks sought registration with the National Institute of Industrial Property (INPI) in Brazil, and had their applications denied after analysis by intellectual property specialists.</p>
Met Office UKCP Local CPM precipitation ML emulator dataset
<div> <div> <div> <h1>Met Office UKCP Local CPM precipitation ML emulator dataset</h1> <p>This is a collection of two datasets: one sourced from CPM data (bham64_ccpm-4x_12em_psl-sphum4th-temp4th-vort4th_pr.tar.gz) and one sourced from GCM data (bham64_gcm-4x_12em_psl-sphum4th-temp4th-vort4th_pr.tar.gz). Each dataset is made up of climate model variables extracted from the Met Office's storage system, combining many variables over many years. It consists of 3 NetCDF files (train.nc, test.nc and val.nc), a YML ds-config.yml file and a README (similar to this one but tailored to the source of the data). Code used to create the dataset can be found here: <a href="https://github.com/henryaddison/mlde-data">https://github.com/henryaddison/mlde-data</a> (specifically the james-submission tag).</p> <p>The YML file contains the configuration for the creation of the dataset, including the variables, scenario, ensemble members, spatial domain and resolution, and the scheme for splitting the data across the three subsets.</p> <p>Each NetCDF contains the same variables but split into different subsets (train, val and test) of the based on time dimension.</p> <p>Otherwise the NetCDF files have the sames dimensions and coordinates for ensemble_member, grid_longitude and grid_latitude.</p> <ul> <li>Spatial resolution: This has two parts - the resolution of the data and the grid resolution stored at in the file. For predictand variables this is 2.2km variables coarsened 4 times to 8.8km (this is the target grid). For predictor variables this is 2.2km variables conservatively regriddded to GCM 60km grid or variables from GCM (so already on 60km grid) then regrid (nearest neighbour) to the target grid of predictands. In the naming convention of resolution used in config files, 60km resolution is synonamous with the GCM grid and 2.2km resolution is synonamous with the CPM grid.</li> <li>Spatial domain: A 64x64 section of the 8.8km target grid covering England and Wales</li> <li>Time resolution: daily</li> <li>Time domain: 1st Dec 1980 to 30th Nov 2000; 1st Dec 2020 to 30th Nov 2040; 1st Dec 2060 to 30th Nov 2080. Uses a 360-day calendar.</li> <li>Scenario: RCP8.5</li> <li>Ensemble Members: 01, 04-13 & 15 (these correspond to the 12 ensemble member runs from the CPM but don't carry intrinsic meaning).</li> <li>Split scheme: 70% training, 15% validation, 15% testing, split by choosing complete seasons at random, with an equal number of each season from each of the 3 time periods.</li> </ul> <p> </p> <h2>Predictor variables</h2> <ul> <li>psl (hPa) - mean sea level pressure</li> <li>temp850, temp700, temp500, temp250 - air temperature (K) at 850, 700, 500 and 250 hPa</li> <li>vorticity850, vorticity700, vorticity500, vorticity250 - relative vorticity (s^-1) at 850, 700, 500 and 250 hPa</li> <li>spechum850, spechum700, spechum500, spechum250 - specific humidity at 850, 700, 500 and 250 hPa</li> </ul> <h2>Predictand variable</h2> <ul> <li>target_pr - precipitation rate (mm/day)</li> </ul> <p> </p> <p>UPDATE 2025-03-27: Dataset tars are renamed to make it clearer their source (ccpm for coarsened CPM and gcm for GCM).</p> </div> </div> </div>
Prehistoric Mining sites in the Lower Inn Valley - Federal Monuments Office documentation of the project Austrian Science Fund project "Prehistoric copper production in the eastern and central Alps" (I 1670)
<p>The dataset contains all tables and RDF-triples created based on the following Federal Monuments Office Documentations</p> <ul> <li>87002.15.01_Verhuettungsplatz_suedlich_Ruine_Rottenburg: <a href="https://zenodo.org/record/5243460"> https://zenodo.org/record/5243460</a></li> <li>87002.16.01_Verhuettungsplatz_suedlich_Ruine_Rottenburg: <a href="https://zenodo.org/record/5244755"> https://zenodo.org/record/5244755</a></li> <li>87002.17.01_Verhuettungsplatz_suedlich_Ruine_Rottenburg: <a href="https://zenodo.org/record/5244794"> https://zenodo.org/record/5244794</a></li> <li>87007.15.01_Bergbaurevier_Schwaz_Brixlegg: <a href="https://zenodo.org/record/5236664"> https://zenodo.org/record/5236664</a></li> <li>87007.16.01_Bergbaurevier_Schwaz_Brixlegg: <a href="https://zenodo.org/record/5243123"> https://zenodo.org/record/5243123</a></li> <li>87009.16.01_Erzaufbereitungsplatz_Schrofen: <a href="https://zenodo.org/record/5243416"> https://zenodo.org/record/5243416</a></li> </ul>
reference image data (primary views) for an office building near LAX
<p>image data compressed by view and season (months 1-2-3, 4-5-6, 7-8-9, 10-11-12)</p> <p>see 10.5281/zenodo.6322418 for source files</p>
reference radiance model and result data for an office building near LAX
<p>radiance scene files and metric results generated from high quality referece images for an office building near LAX.</p> <p><strong>contents of lci_tempate.tar.gz:</strong></p> <p>ALLSKIES: <br> 4294 sky conditions generated by write_skydefs.py<br> based on LAX.epw, all conditions with solar altitude >= 2 degrees, diffnorm > 5 w/m^2</p> <p>INSGEO/: (scene files that can be made into an instance using setup.sh)<br> EXT.rad INT.rad LIT2.rad baseglz.rad site.rad</p> <p>MATERIAL/:<br> all.mat</p> <p>POINTS/: (reference view locations as sensor points)<br> ref_views.pts</p> <p>RAD/:<br> ROIglz.rad big.rad</p> <p>ROI/: (radiance scene polygons describing zones around each point)<br> o1.rad o2.rad z1.rad z2.rad</p> <p>VIEWS/: (reference views)<br> o1ref.vf o1ref_r.vf o2ref.vf o2ref_r.vf z1ref.vf z1ref_r.vf z2ref.vf z2ref_r.vf</p> <p>refs/: (source weather data and model units)<br> lax.epw lax.wea sky_runorder.txt units.txt</p> <p>reference images generated with run_step.sh</p> <p>2phs images generated with 2phase_run_auto.sh</p> <p><strong>contents of ref_data.tar.gz:</strong></p> <p>refimgs/ref_data_view_*_metric.txt (for each view)</p> <p>columns: month day hour dgp illum ugr ugp dgp_t1 dgp_t2 avglum loggcr logpwgcr</p> <p>data generated with the run_step.sh file in lci_tempate.tar.gz for all sky files</p> <p>metrics computed with run_rayt.sh in lci_tempate.tar.gz</p> <p>scripts require python3.6-3.8 on mac os or linux with the following packages installed: raytraverse v1.2.7</p> <p> </p> <p> </p>
Quality of Life at Work During Home Office: How has the COVID Pandemic Caused Disruptive Changes in the Contem-porary Organizational Structures?
<p>Supplementary Material 1 with the calculation of research degree agreement from the managers</p> <p>Supplementary Data 2 – managers answers details</p>
Mean sea-level pressure and related indices from control and tropical relaxation winter seasonal hindcasts using the Met Office GloSea5 system.
<p>© Crown Copyright, Met Office</p> <p>The accompanying data is made available under the terms of the Non-Commercial Government Licence (http://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/).</p> <p>These data are the results of ensemble modelling simulations using the Met Office GloSea5 numerical seasonal prediction system. Files in (zipped) netcdf format contain winter seasonal-mean mean sea-level pressure (MSLP) fields for each member of specified ensemble and hindcast winter (December-February from 1993-94 to 2015-16). The files are named according to the specification of relaxation towards observational reanalysis in each. HCAST has no relaxation, ALL has tropical (approximately 22.5S to 22.5N) relaxation at all atmospheric heights, TROP is similar to ALL but with relaxation limited to below 18km and STRAT is similar to ALL but with relaxation limited to above 18km. The relaxation is designed to constrain the atmospheric state to be close to that which was observed within the domain over which it is applied. Details of the technique can be found in Maidens et al., 2021* and references therein.</p> <p>An additional text file is provided to give summary statistics of key MSLP-based winter indices.</p> <p> </p> <p>* Maidens, A., Knight, J. R., & Scaife, A. A. (2021). Tropical and stratospheric influences on winter atmospheric circulation patterns in the North Atlantic sector. Environmental Research Letters, 16, 024035. https://doi.org/10.1088/1748-9326/abd8aa</p> <p> </p>
SoildiverAgro Project Officer Christophe Coudun
<p>SoildiverAgro Project Officer Christophe Coudun</p> <p>In this interview, our Project Officer Chrisophe Coudun from REAintroduces himself and explains his role in the SoildiverAgro project and what farmers can expect from the case studies developed in his region.</p> <p>This work was funded by the European Commission Horizon 2020 project SoildiverAgro [grant agreement 817819].</p>
data for an article about public expenditure and time in office
<p>The dataset offers data for a scientific article about public expenditure and time in power for 42 developing countries.</p>
Office Suit
<p>Dataset collection from 2019 to 2022</p>
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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.