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datasets available to search
ShareScore release 0.9.0
Dataset results
24 results for “gas sensor”
Monitoring of Biomarkers by Portable Breath Gas Sensors: an Exploratory Study
ClinicalTrials.gov study NCT02685241. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Sweat and Gas Sensor for Healthy Skin and Atopic Dermatitis
ClinicalTrials.gov study NCT03874039. IPD Sharing: Not stated. Countries: 1. Publications: 0.
KORUS-AQ B200 Remotely Sensed Geostationary Trace gas and Aerosol Sensor Optimization (GeoTASO) Data
KORUSAQ_AircraftRemoteSensing_GeoTASO_B200_Data are remotely sensed data collected by the Geostationary Trace gas and Aerosol Sensor Optimization (GeoTASO) instrument onboard the B200 aircraft during the KORUS-AQ field campaign. NO2 and HCHO trace gas slant column data are featured in this collection. Data collection for this product is complete.The KORUS-AQ field study was conducted in South Korea during May-June, 2016. The study was jointly sponsored by NASA and Korea’s National Institute of Environmental Research (NIER). The primary objectives were to investigate the factors controlling air quality in Korea (e.g., local emissions, chemical processes, and transboundary transport) and to assess future air quality observing strategies incorporating geostationary satellite observations. To achieve these science objectives, KORUS-AQ adopted a highly coordinated sampling strategy involved surface and airborne measurements including both in-situ and remote sensing instruments.Surface observations provided details on ground-level air quality conditions while airborne sampling provided an assessment of conditions aloft relevant to satellite observations and necessary to understand the role of emissions, chemistry, and dynamics in determining air quality outcomes. The sampling region covers the South Korean peninsula and surrounding waters with a primary focus on the Seoul Metropolitan Area. Airborne sampling was primarily conducted from near surface to about 8 km with extensive profiling to characterize the vertical distribution of pollutants and their precursors. The airborne observational data were collected from three aircraft platforms: the NASA DC-8, NASA B-200, and Hanseo King Air. Surface measurements were conducted from 16 ground sites and 2 ships: R/V Onnuri and R/V Jang Mok.The major data products collected from both the ground and air include in-situ measurements of trace gases (e.g., ozone, reactive nitrogen species, carbon monoxide and dioxide, methane, non-methane and oxygenated hydrocarbon species), aerosols (e.g., microphysical and optical properties and chemical composition), active remote sensing of ozone and aerosols, and passive remote sensing of NO2, CH2O, and O3 column densities. These data products support research focused on examining the impact of photochemistry and transport on ozone and aerosols, evaluating emissions inventories, and assessing the potential use of satellite observations in air quality studies.
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
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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.