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300
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ShareScore release 0.9.0
Dataset results
300 results for “indoor”
Focus Group in Collecting Feedbacks From Indoor Tanning Bed Users for Social Media-Delivered Intervention Development
ClinicalTrials.gov study NCT04179227. IPD Sharing: NO. Countries: 1. Publications: 0.
Effect of Indoor Plants on Cardiopulmonary System
ClinicalTrials.gov study NCT06060145. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effect of Indoor Air Quality Improvement on Health in Patients With Interstitial Lung Disease
ClinicalTrials.gov study NCT07344987. IPD Sharing: NO. Countries: 0. Publications: 0.
A comparision of the transcriptional profiles of the Muscle from cattle raised outdoors on pasture versus indoors on high dietary supplement
GEO Series GSE52145. Bos taurus. 14 samples. Type: Expression profiling by array.
Figs. 51–58 in Indoor Radio Map localization WiFi fingerprint datasets
Figs. 51–58. Habitus images and genitalia illustrations of Selenophorus species. 51–54) S. pararuficollis, new species, dorsal and ventral aspects, male median lobe left lateral and dorsal views; 55–58) S. neoruficollis, new species, dorsal and ventral aspects, male median lobe left lateral and dorsal views.
Figs. 19–28 in Indoor Radio Map localization WiFi fingerprint datasets
Figs. 19–28. Habitus images, genitalia illustrations, and SEMs of Selenophorus species. 19) S. hylacis, dorsal aspect; 20) S. intermedius, dorsal aspect; 21) S. mexicanus, dorsal aspect; 22) S. subquadratus, dorsal aspect; 23–28) S. balli, new species, dorsal and ventral aspects, male median lobe left lateral and dorsal views, and SEM images of pronotum and elytral striae showing setigerous puncture.
Indoor hockey tournament
<u>Source</u>: Europeana <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1652274644.5571.jpg">https://4dcity.org/imgupload/1652274644.5571.jpg</a> <br><u>Original Image URL</u>: <a href="https://api.europeana.eu/thumbnail/v2/url.json?uri=https%3A%2F%2Fwww.openbeelden.nl%2Fimages%2F661270%2FZaalhockeytoernooi_%25280_39%2529.png&type=VIDEO">https://api.europeana.eu/thumbnail/v2/url.json?uri=https%3A%2F%2Fwww.openbeelden.nl%2Fimages%2F661270%2FZaalhockeytoernooi_%25280_39%2529.png&type=VIDEO</a> <br><br><u>Image-Metadata:</u><br>Filename: 1652274644.5571.jpg<br>Image Dimensions: 360x288<br>Megapixels: 0.10 MP<br>Filesize: 59.53 KB<br>
Supplemental Figure S1. The electromagnetic spectrum emitted by light-emitting diodes (LED) fixtures (SPYDRx Plus with PhysioSpec indoor spectrum; Fluence Bioengineering, Austin, TX, USA).
Open the record for dataset details and reuse information.
domOS Aalborg Living Lab: Indoor Climate and District Heating Control Data
<p>This dataset has been collected in context of the domOS H2020 project (<a href="https://www.domos-project.eu/">https://www.domos-project.eu/</a>). The dataset includes data about 147 family homes of which 144 are flats in 12 building blocks and the rest are single family buildings. All buildings are owned by a building association, and are heated via the local district heating company. The buildings have been renovated and are now prepared for low temperature district heating. Within the area, new private homes (mostly blocks and flats) are being built or renovated. The District heating supply to the 12 building blocks is supplied from a local mixing loop separating the district heating transmission from the local distribution. The heating installations in each block can be controlled as well as the mixing loop to the area. Energy and indoor climate data is supplied from selected apartments and from each heating central. The district heating to the 3 single family buildings is not supplied with district heating from the local mixing loop, but from the transmission line directly. In each building, datalogging and control on the heating installation are possible. Furthermore, data from indoor climate sensors as well as sensors on doors and windows is available. The ongoing data collection has been started in several steps. On the three single family houses, data collection started in February 2020. For the apartment buildings data collection began in June 2021 and for the central mixing loop it began in march 2022.</p>
Role of Indoor Pollutants on House Dust Mite Allergic Asthma
ClinicalTrials.gov study NCT01019291. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Reducing Indoor Allergen Exposures in Northern Manhattan and the South Bronx
ClinicalTrials.gov study NCT00023127. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Impact of Synergies of Indoor Air Pollutants on Childhood Health and Wellbeing
ClinicalTrials.gov study NCT05105386. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
A Pilot Study to Evaluate the Efficacy of Refined Methods to Mitigate Indoor Allergens in North Carolina and Boston, Massachusetts Homes
ClinicalTrials.gov study NCT00344344. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Beijing Indoor Air Purifier Intervention Study
ClinicalTrials.gov study NCT02509000. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Microbial Observatory (ISS-MO): Indoor microbiome study of the International Space Station surfaces
Presented here is the environmental microbiome study of the International Space Station surfaces. The environmental samples were collected with the polyester wipes from eight different locations in the ISS during two consecutive sampling sessions (three months apart). The specific objective was to unveil the pool of genes for each location during two separate sessions to learn of functional and metabolic diversity of microorganisms in the ISS. The International Space Station (ISS) as a closed built environment has its own environmental microbiome which is shaped by microgravity, radiation, and limited human presence. The microbial diversity associated with ISS environmental surfaces was investigated during this study. Polyester wipes and contact slides were used for sampling of eight various surface locations on the ISS at different time periods. The samples were retrieved and analyzed immediately upon the return to the Earth (via Soyuz TMA-14M or Dragon capsule from SpaceX). After surface sample collection, contact slides containing nutrient media for the growth of bacteria and fungi were incubated at 25C. The polyester wipes were processed to measure microbial burden (R2A, Blood Agar, and Potato Dextrose Agar) and recover cultivable bacteria as well as fungi. Subsequently, viable microbial burden was assessed using Adenosine Triphosphate (ATP) assay, and quantitative polymerase chain reaction (PCR) methods after propidium monoazide (PMA) treatment. The 16S-tag and metagenome analyses were used to elucidate viable microbial diversity. The cultivable bacterial population yield from the polyester wipes was very high (5 to 7-logs) when compared with the contact slides (10^2 to 10^3 CFU/m2). The PMA-qPCR analysis showed considerable variation of viable bacterial population (10^5 to 10^9 16S rDNA gene copies/m2) among locations sampled. Unlike contact slides, polyester wipes cover much larger sample surface (~1 m2) and produce much more reliable results of the microbial diversity of the ISS covering both cultivable and non-cultivable species. The cultivable, total, and viable microbial diversity was determined utilizing state-of-the art molecular techniques. The implementation of the PMA assay before DNA extraction allowed distinguishing viable microorganisms, which is crucial for determining their role to the crew health, the ISS maintenance and the general knowledge of the closed environmentally controlled built systems.
Training and testing labelled dataset of human faces for different indoor visual comfort and glare visual discomfort situations - images
<p>The image dataset is generated from experimental tests on 23 different participants and includes a certain variety in characteristics: age, gender, face feature, glasses, etc. The original dataset was generated from experimental tests on 24 different participants but all the data of one of the participants was entirely excluded as this participant did not want his/her data to be publically available.</p> <p>After synchronization of the video footages with the answers of the participants regarding their visual discomfort at the different phases of the experiment to label the video dataset, the video footages are resampled at a 0.5 FPS rate, and the YOLOFace extraction algorithm is used to crop the image down to the face of the occupants only and generate the labelled image dataset. </p>
Training and testing labelled dataset of human faces for different indoor visual comfort and glare visual discomfort situations - videos
<p>The video dataset is generated from experimental tests on 23 different participants and includes a certain variety in characteristics: age, gender, face feature, glasses, etc. The original dataset was generated from experimental tests on 24 different participants but all the data of one of the participants was entirely excluded as this participant did not want his/her data to be publically available.</p> <p>After synchronization of the video footages with the answers of the participants regarding their visual discomfort at the different phases of the experiment to label the video dataset, the video footages are resampled at a 0.5 FPS rate, and the YOLOFace extraction algorithm is used to crop the image down to the face of the occupants only and generate the labelled image dataset. </p>
Training and testing labelled dataset of human faces for different indoor visual comfort and glare visual discomfort situations - videos
<p>The video dataset is generated from experimental tests on 23 different participants and includes a certain variety in characteristics: age, gender, face feature, glasses, etc. The original dataset was generated from experimental tests on 24 different participants but all the data of one of the participants was entirely excluded as this participant did not want his/her data to be publically available.</p> <p>After synchronization of the video footages with the answers of the participants regarding their visual discomfort at the different phases of the experiment to label the video dataset, the video footages are resampled at a 0.5 FPS rate, and the YOLOFace extraction algorithm is used to crop the image down to the face of the occupants only and generate the labelled image dataset. </p>
Data from: The Risk of Indoor Sports and Culture Events for the Transmission of COVID-19
<p>Files reqiured to run the R-scripts (https://github.com/oliverpurschke/restart19_contacts) for the preparation, analysis and visualization of the UWB-contact tracer data within the Restart-19 project.</p>
A collection of indoor and outdoor digitisations of the Knossos Palace
<p>This is a collection of processes 3D models (photogrammetry and laser scanning) regarding the Palace of Knossos</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.