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1,772 results for “sensors”
Data for OFDVDnet: A sensor fusion approach for video denoising in fluorescence guided surgery
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Snow depth, air temperature, humidity, soil moisture and temperature, and solar radiation data from the basin-scale wireless-sensor network in American River Hydrologic Observatory (ARHO)
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High frequency soil sensor data for SOM input - Complex drivers of riparian soil oxygen variability revealed using self-organizing maps
The provided datasets contain the original (non-normalized) high-frequency soil and meteorological observations that were fed to the Self-Organizing Map (SOM) in order to identify ranges of values associated with low and high soil O2 conditions. For the Champlain Valley (CV) site we used the natural breaks algorithm to subset the data into high and low O2 datasets. O2 values were consistently low at the Green Mountains (GM) site, so we ran a single SOM for all O2 values at this site. The original values were then range-normalized before they were fed to the SOM.
High-frequency sensor data collected by Stroud Water Research Center in a recovery reach of White Clay Creek site ID WCC017 from April through December 2018
High-frequency sensor data at 5-min intervals using a s::can®oxy::lizer IITM and Solinst level logger, an Apogee SQ-212 sensor, and an s::can® field spectrophotometer in a recovery reach at White Clay Creek from April through December 2018. These data were collected as part of a study focused on baseflow dynamics of DOC and nitrate in White Clay Creek, Stroud Water Research Center. The parameters in this data package are water temperature, dissolved oxygen, depth, Photosynthetically Active Radiation (PAR), dissolved oxygen concentration, dissolved organic carbon concentration (DOC) and nitrate concentration. Data are presented in two tables. All the parameters and table are further explained in the metadata.
Environmental and behavioral sensor data to identify heat stress in dairy cows
Heat stress impairs the health and performance of dairy cows, yet only a few studies have investigated the diversity of cattle behavioral responses to heat waves. This research was conducted on an Italian Holstein dairy farm equipped with precision livestock farming sensors to assess potential different behavioral patterns of the animals. Three heat waves, defined as at least five consecutive days with mean daily temperature-humidity index higher than 72, were recorded in the farm area during the summer of 2021. Individual daily milk yield data of 102 cows were used to identify ‘heat-sensitive’ animals, meaning the cows that, under a given heat wave, experienced a milk yield drop that was not linked with other health events (e.g., mastitis). Milk yield drops were detected as perturbations of the lactation curve estimated by iteratively using Wood’s equation. Individual daily minutes of lying, chewing, and activity were retrieved from ear-tag-based accelerometer sensors. Semi-parametric generalized estimating equations models were used to assess behavioral deviations of heat-sensitive cows from the herd means under heat stress conditions. Heat waves were associated with an overall increase in the herd’s chewing and activity times, along with an overall decrease of lying time. Heat-sensitive cows spent approximately 15 min/d more chewing and performing activities (p < 0.05). The findings of this research suggest that the information provided by high-frequency sensor data could assist farmers in identifying cows for which personalized interventions to alleviate heat stress are needed.
Hypereutrophic lake sensor data during summer algae blooms in Iowa, USA, 2014 - 2018
High frequency measurements of temperature, dissolved oxygen saturation, pH, chlorophyll a and phycocyanin concentration were measured using a multiparameter sonde in the surface waters of four lakes during the ice-free season to monitor for harmful algal blooms. The lakes are located in the state of Iowa, USA. Green Valley Lake as monitored in 2014 and 2015, Blackhawk Lake was monitored in 2015, and Swan Lake and South Twin Lake were monitored in 2018. The high frequency data were aggregated to a daily average value for each parameter in each lake. These data were used to test for statistical early warning indicators of harmful algal blooms.
Hypereutrophic lake spatial sensor data during summer bloom, Swan Lake, Iowa, USA 2018
Weekly spatial measurements of chlorophyll a, phycocyanin, dissolved oxygen, pH, conductivity, total dissolved solids from a multiparameter handheld sonde in 65 meter grid across the entire lake during an ice-free algal bloom. While sonde measurements were being recorded macrophyte presence was also documented. Spatial measurements where made in Swan Lake in Iowa, USA during 2018. Spatial data are unaltered from data collection from sonde. These data were used to test for spatial heterogeneity during, before, and after a harmful algal bloom.
High-frequency sensor turbidity data collected by Stroud Water Research Center in a meadow reach of White Clay Creek site ID WCC017 from January 2014 through May 2021
High-frequency sensor data from a Campbell Scientific OSB3 (every 5-minutes) in a recovery reach at White Clay Creek from January 2014 through May 2021. Funded by NSF and DEB as part of the LTREB grant to study the recovery of stream ecosystem structure and function during reforestation, Stroud Water Research Center. The parameter in this data package is turbidity. Data are presented in two tables which likely have significant overlap. The raw data table presents the data exactly as it was downloaded from the Aquarius Database. It is formatted as a "wide" human-readable table. Turbidity at White Clay Creek Site WCC017 since 2014 OSB3 presents only the data from the respective sensors. These tables are gap filled for intervals greater than 10 minutes and less than 24 hours, formatted as a "wide" human-readable table. All of the parameters and table are further explained in the metadata.
Water-level and subsurface water temperature at sensor from the Toolik River Thermokarst, 2010-2013
Data were collected to investigate if formation of gully thermokarst (TK) results in lowering of the water table and more rapid evacuation of water from above the frost table. Data were collected from 24 shallow screened wells. 2 replicate rows of 4 wells were located at: (a) a hillslope (HS) ~120m away from the gully TK, (b) perpendicular to the gully TK (TK) and (c) perpendicular to an unimpacted water track (WT) upstream of the gully TK. Note that water levels are the distance below the ground surface and may have organic/peat layers of different thicknesses. Also note that sensors were progressively lowered deeper into the well during the season, resulting in steps in the temperature and raw depth data. Data were collected with support from the NSF ARCSS-TK project, (OPP – 0806399) .
Eight Mile Lake Research Watershed, Carbon in Permafrost Experimental Heating Research (CiPEHR): snow depth sensor data, 2012-2017
The Carbon in Permafrost Experimental Heating Research (CiPEHR) project addresses the following questions: 1) Does ecosystem warming cause a net release of C from the ecosystem to the atmosphere?, 2) Does the decomposition of old C, that comprises the bulk of the soil C pool, influence ecosystem C loss?, and 3) How do winter and summer warming alone, and in combination, affect ecosystem C exchange? We are answering these questions using a combination of field and laboratory experiments to measure ecosystem carbon balance and radiocarbon isotope ratios at a warming experiment located in an upland tundra field site near Healy, Alaska in the foothills of the Alaska Range. This data set contains three-hourly measurements of snow depth collected with acoustic sensors for winter warming and control treatment plots.
Coweeta LTER Environmental Sensor Station Network
Coweeta LTER maintains a network of more than 60 environmental sensor stations at locations throughout the Coweeta Hydrologic Laboratory, western North Carolina, and Georgia. The stations provide long-term monitoring of various environmental parameters. This dataset provides various files with location descriptions, coordinates, and other information about the sites. The data is split between the sites inside and outside of the lab boundaries.
MCR LTER: Coral Reef: Seawater pH, Temperature and Depth Time Series from Bottom-mounted Sensors on the Fringing Reef, January-March 2012
Bottom-mounted instrumentation (SeaFET, Seabird thermisters, Hobo water level data loggers) sampled for 8 weeks on the fringing reef of Moorea Island, French Polynesia at site LTER Fringe 1. Sampling began in January 2012. The instruments were secured to a cement piling at 3.3 meters depth and 0.7 meters above the sandy bottom. The SeaFET recorded voltages from a thermistor and pH electrodes at a 10-minute sampling interval. Discrete seawater samples were collected using a Niskin bottle during the deployment; pH, salinity, and total alkalinity of this sample were measured to calculate seawater pH (total scale) from raw SeaFET data as well as other carbonate chemistry parameters. Adjacent to the SeaFET were two thermistors and two HOBO® water level data loggers, synchronized with the SeaFET to simultaneously record temperature and depth.
Taiwan Coral Reef: Seawater pH, Temperature and Depth Time Series from Bottom-mounted Sensors on the Fringing Reef in Nanwan Bay, May-July 2012
Bottom-mounted instrumentation (SeaFET, Seabird conductivity/temperature sensor, Hobo water level data loggers) sampled for 7 weeks on the Hobihu fringing reef in Nanwan Bay, Taiwan. Sampling began in May 2012. The instruments were secured to anchored fencing stakes at 4 meters depth and 0.6 meters above the sandy bottom. The SeaFET recorded voltages from a thermistor and pH electrodes at a 10-minute sampling interval. Discrete seawater samples were collected using a Niskin bottle during the deployment; pH, salinity, and total alkalinity of this sample were measured to calculate seawater pH (total scale) from raw SeaFET data as well as other carbonate chemistry parameters. Adjacent to the SeaFET were a Seabird sensor and two HOBO® water level data loggers, synchronized with the SeaFET to simultaneously record conductivity, temperature and depth.
Year 2011, January to September, wind sensor data, 15 minute intervals, from the Ipswich Bay Yacht Club pier located in Ipswich, MA
Wind sensor measurements (wind speed and wind direction) January to September 2011 at the Ipswich Bay Yacht Club, Ipswich, MA, 15 minute instantaneous measurement.
Year 2010, wind sensor data, 15 minute intervals, from the Ipswich Bay Yacht Club pier located in Ipswich, MA
Wind sensor measurements (wind speed and wind direction) year 2010 at the Ipswich Bay Yacht Club, Ipswich, MA, 15 minute instantaneous measurement.
Year 2009, wind sensor data, 15 minute intervals, from the Ipswich Bay Yacht Club pier located in Ipswich, MA
Wind sensor measurements (wind speed and wind direction) year 2009 at the Ipswich Bay Yacht Club, Ipswich, MA, 15 minute instantaneous measurement.
Year 2008, wind sensor data, 15 minute intervals, from the Ipswich Bay Yacht Club pier located in Ipswich, MA
Wind sensor measurements (wind speed and wind direction) year 2008 at the Ipswich Bay Yacht Club, Ipswich, MA, 15 minute instantaneous measurement.
Year 2007, wind sensor data, 15 minute intervals, from the Ipswich Bay Yacht Club pier located in Ipswich, MA
Wind sensor measurements (wind speed and wind direction) year 2007 at the Ipswich Bay Yacht Club, Ipswich, MA, 15 minute instantaneous measurement.
Year, end of 2005 thru 2006, wind sensor data, 15 minute intervals, from the Ipswich Bay Yacht Club pier located in Ipswich, MA
Wind sensor measurements (wind speed and wind direction) for end of 2005 and all of 2006 at the Ipswich Bay Yacht Club, Ipswich, MA, 15 minute instantaneous measurement.
Year 2011, September-December, wind sensor data, 15 minute intervals, from the Ipswich Bay Yacht Club pier located in Ipswich, MA
Wind sensor measurements (wind speed and wind direction) September 2011 through December 2011 at the Ipswich Bay Yacht Club, Ipswich, MA, 15 minute average measurements.
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.