Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
206
datasets available to search
ShareScore release 0.9.0
Dataset results
206 results for “Air Quality”
Effects of an Air Purifying Device (PureNight) on Sleep Quality in Obstructive Lung Disease
ClinicalTrials.gov study NCT01772342. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Air quality and respiratory hospital admissions - Guarulhos - SP/Brazil (2015-2017
Open the record for dataset details and reuse information.
AIRS/Aqua L1B Near Real Time (NRT) Visible/Near Infrared (VIS/NIR) quality assurance subset V005 (AIRVBQAP_NRT) at GES DISC
The AIRS Level 1B Near Real Time (NRT) product (AIRVBQAP_NRT_005) differs from the routine product (AIRVBQAP_005) in 2 ways to meet the three hour latency requirements of the Land Atmosphere NRT Capability Earth Observing System (LANCE): (1) The NRT granules are produced without previous or subsequent granules if those granules are not available within 5 minutes, (2) the predictive ephemeris/attitude data are used rather than the definitive ephemeris/attitude. The consequences of these differences are described in the AIRS Near Real Time (NRT) data products document. The Atmospheric Infrared Sounder (AIRS) Visible/Near Infrared (VIS/NIR) instrument in combination with the AIRS Infrared Spectrometer, the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB) constitute an innovative atmospheric sounding group aboard the Earth Observing System (EOS) Aqua platform in a near-polar Sun-synchronous orbit with a 1:30 AM/PM equator crossing time and an ~705 km altitude. The AIRS Visible/Near Infrared (VIS/NIR) Level 1B QA Subset contains Quality Assurance (QA) parameters that a may use of filter AIRS VIS/NIR Level 1B radiance data to create a subset of analysis. It includes "state" that user should check before using any VIS/NIR Level 1B data radiance and "glintlat", "glintlon", and "sun_glint_distant" that users can use to check for possibility of solar glint contamination. AIRS VIS/NIR Level 1B radiance data can be found in AIRVBRAD.
AIRS/Aqua L1B Near Real Time (NRT) Infrared (IR) quality assurance subset V005 (AIRIBQAP_NRT) at GES DISC
The AIRS Level 1B Near Real Time (NRT) product (AIRIBQAP_NRT_005) differs from the routine product (AIRIBQAP_005) in 2 ways to meet the three hour latency requirements of the Land Atmosphere NRT Capability Earth Observing System (LANCE): (1) The NRT granules are produced without previous or subsequent granules if those granules are not available within 5 minutes, (2) the predictive ephemeris/attitude data are used rather than the definitive ephemeris/attitude. The consequences of these differences are described in the AIRS Near Real Time (NRT) data products document. The Atmospheric Infrared Sounder (AIRS) is a facility instrument aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. AIRS data will be generated continuously. Global coverage will be obtained twice daily (day and night) on a 1:30pm sun synchronous orbit from a 705-km altitude. The AIRS IR Level 1B QA Subset contains Quality Assurance (QA) parameters that a user of may use to filter AIRS IR Level 1B radiance data to create a subset of analysis. QA parameters indicate quality of granule-per-channel, scan-per-channel, field of view, and channel and should be accessed before any data of analysis. It also contains "glintlat", "glintlon", and "sun_glint_distant" that users can use to check for possibility of solar glint contamination.
Supplementary materials: Environmental conditions for Danish storage buildings, reviewing 20 years of air quality surveys
<p>S1: Extended information on sites</p> <p>S2: Origin of data, list of previous studies</p> <p>S3: Method: technical details and suppliers list</p> <p>S4: Temperature, RH, TWPI and energy consumption</p> <p>S5: Formic and acetic acid concentration, summer and winter</p> <p>S6: Ozone and nitrogen dioxide measurements, and air exchange rates</p>
Field evaluation of low-cost electrochemical air quality gas sensors under extreme temperature and relative humidity conditions
<p>1. Files starting with Alphasense (i.e. Alphasense_raw_CO, Alphasense_raw_NO2, Alphasense_raw_O3, Alphasense_raw_SO2) correspond to the raw measurements obtained from the Alphasense low-cost sensors for CO, NO2, O3 and SO2 respectively. These files have five (5) columns each. The first column is the output of the working electrode (mV), the second column is the output of the auxiliary electrode (mV), the third column is the temperature measured by the reference instrument (C), the fourth column is the relative humidity measured by the reference instrument (%) and the fifth column is the matlab time.</p> <p>2. Files starting with Winsen (i.e. Winsen _raw_CO, Winsen _raw_NO2, Winsen _raw_O3, Winsen _raw_SO2) correspond to the raw measurements obtained from the Winsen low-cost sensors for CO, NO2, O3 and SO2 respectively. These files have four (4) columns each. The first column is the concentration output (ppb), the second column is the temperature measured by the reference instrument (C), the third column is the relative humidity measured by the reference instrument (%) and the fourth column is the matlab time.</p> <p>3. The file "reference_data" corresponds to the gas measurements obtained from the reference instruments. This file has five (5) columns. The first column is the CO concentration (ppb), the second column is the NO2 concentration (ppb), the third column is the O3 concentration (ppb), the fourth column is the SO2 concentration and the fifth column is the matlab time.</p>
ScienceDex guides
Understand access before you commit
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.