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.
58
datasets available to search
ShareScore release 0.9.0
Dataset results
58 results for “temperature sensors”
Intraoperative Body Core Temperature Monitoring: Oesophageal Probe vs Heated Controlled Servo Sensor
ClinicalTrials.gov study NCT03820232. IPD Sharing: NO. Countries: 1. Publications: 1.
Conductivity Temperature Depth (CTD) sensor profile data binned by depth from stations within the CCE region from CCE LTER P0904 student cruise, April 2009.
Data from deployed Seabird 911 CTD mounted on a 24-bottle rosette during P0904 student cruise in the CCE region. The CTD-rosette is lowered into the ocean (to depths up to 1000m) at selected hydrographic stations and multiple times across fronts, using the ship's conductive-wire winch. Data from many sensors are transmitted up the conductive wire and displayed real-time on a data aquistion computer. Discrete seawater samples are collected in 10L bottles at specific depths determined by the chlorophyll maximum and mixed layer depth. These samples are analyzed at sea and used to assess the CTD sensor data quality, plus measure additional properties. Processed CTD profile data are binned by depth and include: depth, temperature, salinity, density (sigma theta), oxygen, O2 saturation, PAR (radiation, surface radiation, and % irradiance), fluorescence, transmission, and nitrate. These data are then compared to the seawater sample data, and corrected if necessary.
Conductivity Temperature Depth (CTD) sensor profile data binned by depth from stations within the CCE region from CCE LTER process cruises, 2006 - 2017 (ongoing).
Since 2006 (ongoing), the CCE LTER program has deployed a Seabird 911 CTD mounted on a 24-bottle rosette during Process cruises in the CCE region. The CTD-rosette is lowered into the ocean (to depths up to 1000m) at selected hydrographic stations and multiple times across fronts, using the ship's conductive-wire winch. Data from many sensors are transmitted up the conductive wire and displayed real-time on a data aquistion computer. Discrete seawater samples are collected in 10L bottles at specific depths determined by the chlorophyll maximum and mixed layer depth. These samples are analyzed at sea and used to assess the CTD sensor data quality, plus measure additional properties. Processed CTD profile data are binned by depth and include: depth, temperature, salinity, density (sigma theta), oxygen, O2 saturation, PAR (radiation, surface radiation, and % irradiance), fluorescence, transmission, and nitrate. These data are then compared to the seawater sample data, and corrected if necessary.
Accuracy of the Drager Dual-sensor Temperature Measurement System
ClinicalTrials.gov study NCT00980642. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Stress modulation of cellular metabolic sensors: interaction of stress from temperature and rainfall on the intertidal limpet Cellana toreuma
Open the record for dataset details and reuse information.
Conductivity Temperature Depth (CTD) sensor profile data binned by depth from PAL LTER annual cruises, 1991 - 2017 (ongoing).
Since 1991 (and ongoing), the PAL LTER program has deployed a SeaBird 911+ CTD mounted on a 24-bottle rosette during annual (Austral Summer) cruises plus a few supplemental cruises at other times of the year. An equal area grid oriented parallel to the average coast provides the basis for sampling, as well as specific process studies and on-the-fly scientific needs. The CTD-rosette is lowered into the ocean (usually to just above the sea-floor) using the ship's conductive-wire winch. Data is collected and displayed real-time to ensure quality and make decisions about where to collect seawater with the bottles. Bottle data is typically collected extensively in the seasaonal mixed layer and pycnocline, plus at Tmin, in the permament pycnolcine and at Tmax and Smax, as well as near the bottom. Bottle data allows measurement adn calculation of additional variables and helps ensure quality data collected via sensors. Sensors include: Pressure, Conductivity (for Salinity), Temperature, Oxygen, Transmissometer, Flourometer, Photosynthetically Available Radiation (PAR/Irrandiance). Additional Bottle Data Variables include: Phosphate, Silicate, Nitrite, Nitrate, Ammonium. After each cruise, Temperature, Conductivity and Oxygen sensors are calbrated and post-crusie processing is applied, making use of pre- and post- cruise calibrations as well as SeaBird software and algorithms for getting the best quality data. Each profile is then inspected for any issues and if needed, suitable corrections are made such as using secondary sensors (temperature, conductivity and oxygen all currently measured in duplicate), using the upcast, or flagging the data as bad.
Explorer-7 Thermal Radiation Experiment Selected White Sensor Temperature (Nighttime) Values V001 (EXP7L1TRTWHT) at GES DISC
Explorer-7 Thermal Radiation Experiment Selected White Sensor Temperature (Nighttime) Values product contains the temperatures measured by the white sensor at night. The white sensor was designed to measure terrestrial radiation. There is a single file for the entire mission (Nov. 15, 1959 to May 24, 1960). The data were originally written on IBM 7094 machines to magnetic tapes. In addition to the temperature values, the file contains radiance, geolocation and orbit information. The data have been restored and are archived in their original IBM EBCDIC text format.The Explorer-7 satellite was successfully launched on October 13, 1959. The radius of the circle of coverage was about 23 deg (~2500 km) at perigee and 31.5 deg (~3500 km) at apogee. Half the radiation is received from an area below the satellite with a radius of 5.3 deg (545 km) at perigee and 9 deg (~1015 km) at apogee. The Thermal Radiation Experiment successfully returned the first set of Earth looking data from space. The instrument was operational from launch until Feb. 28, 1961.The Principal Investigator for these data was Verner E. Suomi from the University of Wisconsin. This product was previously available from the NSSDC with the identifier ESAD-00248 (old ID 59-009A-01A).
Explorer-7 Thermal Radiation Experiment Temperature Values from All Sensors V001 (EXP7L1TRTALL) at GES DISC
Explorer-7 Thermal Radiation Experiment Temperature Values from All Sensors product contains temperature readings from all five bolometers in order to measure solar, reflected and terrestrial radiation. There are two files for the entire mission (Oct. 19, 1959 to April 16, 1960 and April 16, 1960 to June 4, 1960. Note there is no geolocation information included with these data. The data were originally written on IBM 7094 machines on magnetic tapes. The data have been restored and are archived in their original IBM 36-bit word binary format.The Explorer-7 satellite was successfully launched on October 13, 1959. The radius of the circle of coverage was about 23 deg (~2500 km) at perigee and 31.5 deg (~3500 km) at apogee. Half the radiation is received from an area below the satellite with a radius of 5.3 deg (545 km) at perigee and 9 deg (~1015 km) at apogee. The Thermal Radiation Experiment successfully returned the first set of Earth looking data from space. The instrument was operational from launch until Feb. 28, 1961.The Principal Investigator for these data was Verner E. Suomi from the University of Wisconsin. This product was previously available from the NSSDC with the identifier ESAD-00249 (old ID 59-009A-01B).
A conserved kinase-based body temperature sensor globally controls alternative splicing and gene expression
GEO Series GSE143872. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Development of Dental Implantable Temperature Sensor for Real-time Diagnosis of Infectious Disease
<pre>The two files attached are supplemental data showing how the mechanical stability test of the developed sensor was performed.</pre> <p>Video S1: 180° bending test to verify mechanical stability.</p> <p>Video S2: Stirring test with the microfabricated sensor attached on magnetic bar.</p>
Weight, Temperature and Humidity Sensor Data of Honey Bee Colonies in Germany, 2019 - 2022
<p>Files:</p> <p>bob_publication_data.zip<br>Sensor data in 1-minute, 1-hour and 1-day interval, processed and unprocessed version as described in data paper. Inspection data with beekeepers' meta-information collected using web app.</p> <p>bob_raw_data.zip<br>Raw sensor data with original measurement interval, mostly 5 or 10 seconds.</p> <p>bob_code_publication.zip<br>Code we used to prepare the data. We anonymised sections with personal keys and passwords.</p> <p>Abstract:</p> <p><br>We present sensor data from 78 honey bee colonies in Germany collected as part of a citizen science project. Each honey bee hive was equipped with five temperature sensors within the hive, one temperature sensor for outside measurements, a combined sensor for temperature, ambient air pressure and humidity, and a scale to measure the weight. During the data acquisition period, beekeepers used a web app to report their observations and beekeeping activities.<br>We provide the raw data with a measurement interval of up to 5 seconds as well as aggregated data, with per minute, hourly or daily average values. Furthermore, we performed several preprocessing steps, removing outliers with a threshold based approach, excluding changes in weight that were induced by beekeeping activities and combining the sensor data with the most important meta-data from the beekeepers' observations. The data is organised in directories based on the year of recording. Alternatively, we provide subsets of the data structured based on the occurrence or non-occurrence of a swarming event or the death of a colony.<br>The data can be analysed using methods from time series analysis, time series classification or other data science approaches to form a better understanding of specifics in the development of honey bee colonies.</p> <p>Information:</p> <p>The first three years of the citizen science project were funded by the German Ministry for Education and Research (BMBF).</p>
Non-invasive Sensor for Core Temperature Measurement
ClinicalTrials.gov study NCT02017184. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Pressure and Temperature Sensor for Therapeutic Compression Garments
ClinicalTrials.gov study NCT03461549. IPD Sharing: NO. Countries: 1. Publications: 0.
Can the SpotOn™ Zero-Heat-Flux-Thermometry Sensor Accurately Measure Core Temperature in Children?
ClinicalTrials.gov study NCT03157609. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation of a Licensed Double-sensor-heat-flux (DHF) Non-invasive Core Temperature Sensor in Small Children and Toddlers Undergoing Surgery
ClinicalTrials.gov study NCT05516771. IPD Sharing: NO. Countries: 1. Publications: 0.
Measuring Core Body Temperature Using a Novel Non-invasive Sensor
ClinicalTrials.gov study NCT02691832. IPD Sharing: NO. Countries: 1. Publications: 0.
Fever Algorithm Development of a Non-invasive Wearable Core Body Temperature Sensor System in Intensive Care Unit Patients
ClinicalTrials.gov study NCT04182945. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
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.