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.
858
datasets available to search
ShareScore release 0.9.0
Dataset results
858 results for “monitoring data”
Digitally Captured Activity Data and PROs to Monitor Physical Function in Prostate Cancer Patients
ClinicalTrials.gov study NCT04575402. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Rainbow Acoustic Monitoring (RAM) Clinical Engineering Data Collection
ClinicalTrials.gov study NCT03120897. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Intra Operative Continuous Laryngeal Nerve Monitoring During Thyroid Surgery and Interpretation of the Post-operative Voice Quality in Relation to the Electromyography Data Obtained During Surgery
ClinicalTrials.gov study NCT01413802. IPD Sharing: Not stated. Countries: 1. Publications: 0.
City of Fort Collins Natural Areas Program Amphibian Monitoring Data
Open the record for dataset details and reuse information.
Durham Cathedral bat ultrasound monitoring data 2017-19
Open the record for dataset details and reuse information.
Data from: Genetic monitoring reveals temporal stability over 30 years in a small, lake resident brown trout population
Open the record for dataset details and reuse information.
Data from: Diel activity, frequency and visit duration of pollinators in focal plants: in situ automatic camera monitoring and data processing
Open the record for dataset details and reuse information.
Data from: EDAPHOLOG monitoring system: automatic, real-time detection of soil microarthropods
Open the record for dataset details and reuse information.
Data from: Harnessing olfactory bulb oscillations to perform fully brain-based sleep-scoring and real-time monitoring of anesthesia depth
Open the record for dataset details and reuse information.
Data from: Impacts of white-nose syndrome observed during long-term monitoring of a midwestern bat community
Open the record for dataset details and reuse information.
Data from: Measuring β‐diversity by remote sensing: a challenge for biodiversity monitoring
Open the record for dataset details and reuse information.
Data from: Non-contact respiration monitoring using impulse radio ultrawideband radar in neonates
Open the record for dataset details and reuse information.
Data from: A machine learning method to monitor China’s AIDS epidemics with data from Baidu Trends
Open the record for dataset details and reuse information.
Data from: Evaluating NGS methods for routine monitoring of wild bees: metabarcoding, mitogenomics or NGS barcoding
Open the record for dataset details and reuse information.
Data from: Quantification of the sit-to-stand movement for monitoring age-related motor deterioration using the Nintendo Wii Balance Board
Open the record for dataset details and reuse information.
Data from: Long-term monitoring dataset of fish assemblages impinged at nuclear power plants in northern Taiwan
Open the record for dataset details and reuse information.
NARSTO EPA Supersite (SS) Fresno, Beta Attenuation Monitors (BAM), Particulate Mass Concentration Data
NARSTO_EPA_SS_FRESNO_BAM_PM_MASS FRACTION is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Fresno, Beta Attenuation Monitors (BAM), Particulate Mass Concentration Data product. This data set contains measurements taken from two BAMs, PM10, and PM2.5, operated at the Fresno Supersite. The MetOne BAM Monitor measured the attenuation of a beam of beta particles (electrons) generated by a 14ºC source transmitted through an aerosol sample collected on a glass fiber filter tape. Before sample collection, the beta attenuation was measured through a clean part of the tape to obtain a baseline. A sample was collected on the same location on the tape. After sample collection, the beta attenuation was measured through the exposed part of the tape. The net attenuation is proportional to the amount of mass collected on the filter. A mass flow controller controls the flow rate during sample collection at a flow rate of approximately 16.7 l/min. The mass concentration of the collected aerosol was determined from the net attenuation, the sample air flow, the sample time, and the attenuation coefficient for the instrument. The Fresno Supersite is one of several Supersites established in urban areas within the United States by the EPA to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The site is located at 3425 First Street, approximately 1 km north of the downtown commercial district. First Street was a four-lane artery with moderate traffic levels. Commercial establishments, office buildings, churches, and schools were located north and south of the monitor. Medium-density single-family homes and some apartments were located in the blocks to the east and west of First Street. The Fresno Supersite began operation in May of 1999.The EPA PM Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address the following EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.
Flight Crew Physiological Data for Crew State Monitoring
This physiological data was collected from pilot/copilot pairs in and out of a flight simulator. It was collected to train machine-learning models to aid in the detection of pilot attentive states. The benchmark training set is comprised of a set of controlled experiments collected in a non-flight environment, outside of a flight simulator. The test set (abbreviated LOFT = Line Oriented Flight Training) consists of a full flight (take off, flight, and landing) in a flight simulator. The pilots experienced distractions intended to induce one of the following three cognitive states: Channelized Attention (CA) is the state of being focused on one task to the exclusion of all others. This is induced in benchmarking by having the subjects play an engaging puzzle-based video game. Diverted Attention (DA) is the state of having one’s attention diverted by actions or thought processes associated with a decision. This is induced by having the subjects perform a display monitoring task. Periodically, a math problem showed up which had to be solved before returning to the monitoring task. Startle/Surprise (SS) is induced by having the subjects watch movie clips with jump scares. For each experiment, a pair of pilots (each with its own crew ID) was recorded over time and subjected to the CA, DA, or SS cognitive states. The training set contains three experiments (one for each state) in which the pilots experienced just one of the states. For example, in the experiment labelled CA, the pilots were either in a baseline state (no event) or the CA state. The test set contains a full flight simulation during which the pilots could experience any of the states (but never more than one at a time). Each sensor operated at a sample rate of 256 Hz. Please note that since this is physiological data from real people, there will be noise and artifacts in the data.
NARSTO EPA_SS_HOUSTON TEXAQS2000 Washburn Tunnel Air Quality Monitoring Data
The NARSTO_EPA_SS_HOUSTON_TEXAQS2000_WB_TUNNEL data contain gas and particle phase measurements collected in a tunnel in the Houston area during the summer of 2000. The primary objective of this study was to provide data for estimating vehicular emission factors and composition profiles as part of the TexAQS2000 program. Measurements were collected on each day from August 29, 2000 (Tuesday) through September 1, 2000 (Friday). Sampling was conducted during the 1200 - 1400 CDT and 1600 - 1800 CDT time periods each day. Measurements collected during the study included nitrogen oxides, carbon dioxide, carbon monoxide, ammonia, fine particulate matter (PM2.5), and individual hydrocarbon species.The Houston Supersite is one of several Supersites that was established in urban areas within the United States by the U.S. Environmental Protection Agency (EPA) to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The overall goals were to characterize the composition and identify the sources of particulate matter in Southeastern Texas, to develop and test new methods for characterizing fine particulate matter, and to collect data on the physical and chemical characterization of fine particulate matter that can be used to support exposure and health effects studies.NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.
NARSTO EPA Supersite (SS) Fresno, Beta Attenuation Monitors (BAM) Meteorological Data
NARSTO_EPA_SS_FRESNO_MET_DATA is North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Fresno, Beta Attenuation Monitors (BAM) Meteorological Data. This data set contains measurements taken from six meteorological instruments operated at the Fresno supersite from May 24, 2000 to December 31, 2006. The ambient temperature was measured by a Met One Instruments aspirated thermistor, Model 060A-2. The barometric pressure was measured by a Met One pressure transducer, Model 090D. The relative humidity was measured by a Met One aspirated thin film capacitor, Model 083V. The solar radiation was measured by a LI-COR Inc. pyranometer, Model LI-200SA. The wind speed was measured by a Met One Instruments 3-cup anemometer, Model 010-SC. The wind direction was measured by a Met One Instruments High-Sensitivity wind vane, Model 025-5C. All six instruments reported 5 minute samples.The Fresno Supersite is one of several Supersites established in urban areas within the United States by the EPA to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The site is located at 3425 First Street, approximately 1 km north of the downtown commercial district. First Street was a four-lane artery with moderate traffic levels. Commercial establishments, office buildings, churches, and schools were located north and south of the monitor. Medium-density single-family homes and some apartments were located in the blocks to the east and west of First Street. The Fresno Supersite began operation in May of 1999.The EPA PM Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address the following EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.
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.