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661 results for “temperature measurement”
Figure 3. A in Assessment of the accuracy of determining the Caspian Sea surface temperature by Landsat-5, -7 satellites based on the measurements of drifters
Figure 3. A mosaic of Landsat-7 images in the Caspian Sea: (a) from 4 October 2006 to 20 February 2007, and (b) from 19 July 2008 to 10 October 2008. Drifter tracks are superimposed on satellite images.
Figure 9 in Assessment of the accuracy of determining the Caspian Sea surface temperature by Landsat-5, -7 satellites based on the measurements of drifters
Figure 9. Histogram of temperature determination error values according to Landsat Level-2 data: (a) measurements that have a time difference of no more than two hours with the flight of the satellite; (b) all measurements on the day of the satellite flyby.
Figure 6 in Assessment of the accuracy of determining the Caspian Sea surface temperature by Landsat-5, -7 satellites based on the measurements of drifters
Figure 6. The relationship between the temperature of the sea surface layer obtained from drifters and SST according to Landsat-5, -7 Level-1 data: (a) measurements that have a time difference of no more than two hours with the flight of the satellite; (b) all measurements on the day of the satellite flyby.
Figure 5 in Assessment of the accuracy of determining the Caspian Sea surface temperature by Landsat-5, -7 satellites based on the measurements of drifters
Figure 5. Examples of using a cloud mask (satellite image taken on 29 July 2008). At the time of the satellite's flight, all measurement points for the day are blocked by clouds: (a) satellite image in natural colors with missing information along the bands; (b) same image with cloud mask superimposed. Red dots show several locations of one drifter during the day of satellite image acquisition.
Surface measurement data of polished LTCC: Characterization of pores in polished low temperature co-fired glass-ceramic composites for optimization of their micromachining
<p>Pores are intrinsic defects of ceramic composites and influence their functional properties significantly. Their characterization is therefore a pivotal task in material and process optimization. It is demonstrated that polished section analysis allows for obtaining precise information on pore size, shape, area fraction, and homogeneous distribution. It is proven that laser scanning microscopy provides accurate height maps and is thus an appropriate technique for assessing surface features. Such data is used to compare areas with good and poor polishing results, and various surface parameters are evaluated in terms of their informative value and data processing effort. The material under investigation is a low-temperature co-fired ceramic composite. Through statistical analysis of the data, the inclination angle was identified as an appropriate parameter to describe the polishing result. By using masked data, direct conclusions can be drawn about the leveling of load-bearing surface areas, which are crucial in photolithographic processing steps and bonding technology. A broad discussion of different defects based on the results contributes to a critical analysis of the potentials and obstacles of micromachining of low-temperature cofired ceramic substrates.</p>
Mooring current and temperature and Salinity measurements
<p>The Mooring LCM, a shared infrastructure located along the Levante Canyon of the Eastern Ligurian Sea . The mooring is placed at 600 m depth on the Levante Canyon, offshore the Cinque Terre Cinque Marine Protected Area at 44°05.443’N, 9°29.900’E . It was firstly deployed in October 2019 . LCM is a stand-alone mooring offshore, dedicated to the long term monitoring of hydrological properties of water masses . The first installation of the LCM was made possible thanks to the "Dallaporta" CNR Oceanographic Ship, allowing the observatory to be positioned at about 6.5 nautical miles off the coast. It operates in delayed-mode and is equipped with sensors that measure physical and biogeochemical parameters along the water column from 83 m to 580 m. Starting from the bottom , the offshore monitoring station is equipped with a sediment trap placed at a depth of 582m, which allows to obtain information on the supply of sediments from the surface to the seabed. Further above, CTD probes (SBE37) are placed at three different depths, respectively at 579m, 335m and 85m. The LCM also includes two acoustic doppler current profilers (ADCP), placed respectively at 406m( Nortek Continental) and 325m ( WH Quarter Master) depth, which measures currents throughout the water column, in order to monitor the link of near-surface waters with the deep ones.</p> <p> </p> <p> </p>
Soil temperature, moisture, and ground heat flux measurements at LPTEG-TREES-1 site, 2019/07/01-2019/09/09
<p>This dataset includes the original measurements of soil temperature, moisture, and surface ground heat flux reconstructed from heat flux plate measurements at the LPTEG-TREES-1 site (N66°53’55’’, E66°45’27’’). Soil temperature (T_soil, °C) was measured at 2 cm below the peat layer surface. Soil liquid water content (theta_liq, m<sup>3</sup>/m<sup>3</sup>) was measured 2 cm below the mineral soil layer surface. Observation for ground heat flux at the soil surface (G_obs, W/m<sup>2</sup>) was reconstructed from the heat flux plate (buried 6 cm below the mineral soil surface) measurement plus the energy storage above the heat flux plate calculated based on soil temperature and soil heat capacity.</p>
Dataset related to publication "Non-contact thermometer for improved air temperature measurements"
<p>These datasets were used to produce Fig. 6, 8 and 9 in paper "Non-contact thermometer for improved air temperature measurements" to be published in <em>Sensors </em><strong>2023</strong><em>, 23. </em>The data were produced within the EMPIR project 18SIB01 GeoMetre.</p>
Measurements of diurnal variations of subsurface water temperature in Lake Kinneret during the period (Sept. 6 – 9, 2015)
<p>The datasets include in-situ 10-minute measurements of subsurface water temperature taken at a depth of 20 cm at a site A (32.82 <sup>o</sup>N; 35.60 <sup>o</sup>E) located near the center of Lake Kinneret, during the period (Sept. 6 – 9, 2015). Lake Kinneret is located in Israel. The Campbell 107-L temperature probe was used (specifications are available online at <a href="https://www.campbellsci.asia/107-l">https://www.campbellsci.asia/107-l</a> ). The datasets also include meteorological measurements taken at the same site, such as air temperature, relative humidity, wind speed, upwelling and downwelling longwave (4.5 to 42 µm) radiation. The above meteorological measurements were taken at a height of 2 - 3 m above the lake surface. Measurements at the site A are associated with the Kinneret Limnological Laboratory, Israel Oceanographic and Limnological Research (https://www.ocean.org.il ).</p> <p><em>Data format: xlsx file. The file includes water temperature (WT, <sup>o</sup>C), wind speed (WS, m/s), air temperature (Tair, <sup>o</sup>C), relative humidity (RH, %), upwelling longwave radiation (Upwelling LW, W/m<sup>2</sup>) and downwelling longwave radiation (Downwelling LW, W/m<sup>2</sup>).</em></p>
Soil temperature measurements at Gobabeb in December 2017
<p>Dataset containing the measurements at 1 min interval of the soil temperature at different depths (5,10,20,30,50,100 cm) in the Gobabeb site in Namibia (-23.56N 15.04E).</p> <p> </p>
Discrete surface turbidity samples and underway sea surface temperature and sea surface salinity measured in Aarhus Bay during a demonstration of an experimental autonomous surface vehicle
<p>This dataset includes measurements obtained by an autonomous boat that was equipped with a surface water sampling system: the Naval Operating Research Drone Assessing Climate Change (NORDACC). </p> <p>This dataset includes two .csv files</p> <p><br> 2022-10-14_NORDACC_Turbidity.csv<br> This file contains the results of 8 discrete surface water samples that were analyzed for turbidity using a Hach turbidimeter. Surface water samples were acquired by NORDACC on the afternoon of 14 October 2022 in Aarhus Bay. The columns are separated by commas and correspond to: <br> Sample Number, Date (yyyy-mm-dd), UTC time (HH:MM:SS), Longitude (decimal degrees), Latitude (decimal degrees), Sea Surface Temperature (SST; degC), Sea Surface Salinity (SSS)</p> <p><br> 2022-10-14_NORDACC_UnderwayData.csv<br> This file contains 1 Hz data, delimited by commas, that were collected while NORDACC was in operation. The underway data columns correspond to:<br> Date & Time (ISO format yyyy-mm-ddTHH:MM:SS), Operation State (1=initializing, 2=sailing, 3=water sample), Longitude (decimal degrees), Latitude (Latitude), Sea Surface Temperature (SST; degC), Sea Surface Salinity (SSS)</p> <p><br> About NORDACC:</p> <p>The Naval Operating Research Drone Assessing Climate Change (NORDACC) was designed by Serbian Akbulut, Jeppe Fogh Rasmussen, Christian Søndergård Hestbech, and Marius Hjorth Andersen, a group of mechatronics students at Aarhus University. The project was supervised by Prof. Claus Melvad (AU) and received external guidance by Dr. Daniel Carlson (Helmholtz-Zentrum Hereon). The NORDACC project was partially supported by Helmholtz-Zentrum Hereon and the Klaus-Tschira Boost Fund that was administered by the German Scholars Organization.</p> <p>NORDACC designs, software, and BOM are open source and provided via Mendeley Data, doi:10.17632/rpzv35pccr.1 </p> <p>For more information about NORDACC see the accompanying paper in HardwareX. </p>
Soil temperature profiles, measured using a coil-shaped fiber-optic distributed temperature sensor
<p>Measurements of soil temperature temperature profile, by reference sensors and a coil-shaped fiber optic distributed temperature sensor.</p> <p>Retrieved at the Speulderbos measurement site, 52.251048 N, 5.690061 E.</p> <p> </p> <p>A full description can be found in:</p> <p>Schilperoort, B. (2022). <em>Heat Exchange in a Conifer Canopy: A Deep Look using Fiber Optic Sensors</em> [Delft University of Technology]. https://doi.org/10.4233/uuid:6d18abba-a418-4870-ab19-c195364b654b</p>
Data associated with the following publication: "A fully automated measurement system for the characterization of micro thermoelectric devices near room temperature"
<p>Data associated with the following publication: "A fully automated measurement system for the characterization of micro thermoelectric devices near room temperature" (DOI: <a href="https://doi.org/10.1016/j.applthermaleng.2023.120111">10.1016/j.applthermaleng.2023.120111</a>).</p>
Measures of cold tolerance in diploid and triploid Daphnia clones exposed to two temperatures
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Data from: Long-term, high frequency in situ measurements of intertidal mussel bed temperatures using biomimetic sensors
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Surface measurement data of polished LTCC: Characterization of pores in polished low temperature co-fired glass-ceramic composites for optimization of their micromachining
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Seagrass growth rates and physical characteristics and measures of water temperature and salinity during a simulated green turtle grazing experiment in The Bahamas, 1999 – 2000.
This data set contains data from an experiment in which green turtle grazing was simulated in a Thalassia testudinum seagrass meadow in The Bahamas from July 1999 until December 2000. Measurements of water temperature and salinity were collected weekly. Seagrass meadow physical characteristics--blade length, blade width, number of blades per shoot, shoot density, and leaf area index--along with growth rates (both linear growth and production) were measured at various temporal intervals. Measurements were made in each of three treatments: 1) an unclipped reference treatment (representing ungrazed seagrass) in which measurements began in July 1999, 2) an experimentally clipped treatment (representing grazing) in which measurements began in July 1999, and 3) an experimentally clipped treatment (representing grazing) in which measurements began in February 2000. Data were used to investigate relationships between water temperature and salinity on seagrass growth and physical characteristics and how these relationships are affected by green turtle grazing.
Tussock Watershed stream discharge, electrical conductivity, and temperature measurements from 1991
Tussock Watershed stream discharge, electrical conductivity, and temperature measurements from 1991.
Tussock Watershed stream discharge, electrical conductivity, and temperature measurements from 1992
Tussock Watershed stream discharge, electrical conductivity, and temperature measurements from 1992.
Tussock Watershed stream discharge, electrical conductivity, and temperature measurements from 1993
Tussock Watershed stream discharge, electrical conductivity, and temperature measurements from 1993.
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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.