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84 results for “Skin temperature”
LakeSST: Lake Skin Surface Temperatures in French inland water bodies
<p>The data set LakeSST contains skin surface temperature data for 442 French water bodies for the period 1999-2016 obtained from archives of Landsat 5 and Landsat 7 thermal infrared images. The overall accuracy of the satellite-derived temperature measurements is about 1.2 ºC, similar to other applications of satellite images to estimate freshwater surface temperatures. The spatial and temporal coverage of the data set makes it an ideal resource for studies on the temporal evolution of lake surface temperatures and for geographical studies of temperature patterns.</p>
Dataset for Temperature Development in Ultra-High-Performance Concrete-Filled Double-Skin Tubes Exposed to Fire
<p>This dataset presents extensive experimental data available in the literature for concrete-filled tubes (CFT) and ductile concrete-filled double-skin tubes (CFDST) exposed to fire. Different concrete grades, including normal strength (NS), high strength (HS), and ultra-high-strength (UHS) concrete, were tested, and the temperature developments within various cross-sections are provided in the supplementary data. The density, specific heat, and conductivity that are temperature-dependent, are documented by different researchers and current specifications. The preferred models are provided for carbon-steel, stainless-steel, and different grades of concrete. Numerical studies such as those conducted by the authors in a companion paper would find value in this data for validation and verification purposes</p>
Physiological Data Collected from smartwatch: EDA, Pulse Rate, and Skin Temperature for Stress and Fatigue Analysis
<p>The dataset contains multiple columns capturing both <strong>physiological and demographic data</strong>.<strong> Physiological data</strong>, collected using the <strong>Empatica EmbracePlus smartwatch,</strong> includes electrodermal activity (EDA), pulse rate, and skin temperature. These metrics provide insights into participants' stress and fatigue levels. Empatica's proprietary algorithms preprocess the raw data, extracting digital biomarkers and metrics that reflect the wearer's physiological and behavioral states. <strong>The processed data is aggregated on a per-minute basis.</strong></p> <p>Demographic information, such as age, gender, fitness level, and sleep duration from the previous night, is also included. Additionally, participants rated their perceived physical fatigue on the Borg scale (ranging from 6 to 20), offering a subjective measure of exertion during or after physical tasks.</p> <p>The dataset was collected during controlled simulations of industrial tasks in a fitness environment. These simulations involved repetitive activities, including weightlifting, resistance band exercises, and isometric tasks, designed to mimic the physical demands of industrial work. This approach allowed for the safe and effective study of physical fatigue. The resulting data provides valuable insights into the physiological responses associated with repetitive physical labor.</p>
Bias corrected era5 skin temperature over the Arctic sea ice – 1981 to 2018 monthly means and climatology
<p>This dataset is generated in the context of the peer-reviewed study of Zampieri et al., 2023. The users can find a detailed description of the bias correction strategy and information on the scientific value of the dataset in the paper. Please, do not hesitate to contact me to obtain further information and suggestions on how to employ this dataset for your specific purpose. </p> <p><strong>References:</strong></p> <p>Zampieri, L.,<strong> </strong>Arduini, G., Holland, M., Keeley, S., Mogensen, K., Shupe, M., Tietsche, S. (2023) A machine learning correction model of the winter clear-sky temperature bias over the Arctic sea ice in atmospheric reanalyses. <em>Monthly Weather Review</em>. DOI:<a href="https://doi-org.cuucar.idm.oclc.org/10.1175/MWR-D-22-0130.1">10.1175/MWR-D-22-0130.1</a></p> <p><strong>Acknowledgments:</strong></p> <p>As part of the Virtual Earth System Research Institute (VESRI), funding for the Multiscale Machine Learning In coupled Earth System Modeling (M2LInES) project was provided to Lorenzo Zampieri by the generosity of Eric and Wendy Schmidt by recommendation of the Schmidt Futures program. </p>
Data from: Out in the cold and sick: low temperatures and fungal infections impair a frog's skin defenses
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Dataset for "The effects of increasing coupling frequency and considering skin temperature on the simulation by CAS-ESM2"
<p>This dataset is the simulation for the manuscript "The effects of increasing coupling frequency and considering skin temperature on the simulation by CAS-ESM2" submitted to JGR-Atmospheres.</p>
Skin temperature of Welcome Swallows (Hirundo neoxena)
<p><strong>Background</strong></p> <p> </p> <p><span>We aimed to describe natural patterns of body temperature (Tb) regulation during winter by the welcome swallow (Hirundo neoxena), a small species (~14 g) that relies exclusively on flying insect prey. We studied a population inhabiting a semi-rural landscape in a mild temperate climate in south-eastern Australia. We aimed to ascertain the depth of a nightly reduction in Tb and to test the hypothesis that resting Tb is influenced by environmental conditions that could influence daytime foraging success. We used temperature-sensitive radio telemetry to continuously record skin temperature (Ts) of roosting birds, which we assumed was a close proxy for Tb. Surface skin temperature is regularly used to infer Tb in small free-living birds and mammals (McCafferty et al., 2015).</span></p> <p><span> </span></p> <p><strong><span>Description of the data and file structure</span></strong></p> <p><strong><span> </span></strong></p> <p><strong><span>"welcome swallow_raw tskin data_long format.csv": </span></strong><span>This data is raw skin temperature data of welcome swallows, joined with air temperature and relative humidity at the study site, individual identity (transmitter number), body mass of each individual, and transmitter attachment method. We aligned the air temperature and relative humidity data with the timing of the skin temperature data by the nearest time stamp. </span></p> <p><span> </span></p> <p><strong><span>"welcome swallow\_ range in daily tskin.csv":</span></strong><span> This data is the range in daily skin temperature, using the resting normothermic skin temperature minus minimum recorded skin temperature each restphase. Joined with weather variable from the Australian Bureau of Meteorology. Data also includes individual identity (transmitter number), body mass of each individual, and transmitter attachment method. We calculated a value for the normothermic resting Ts of each individual by averaging the minimum Ts recorded each day between the times of 0800 and 1600 h over the days recorded for that individual</span></p> <p><strong><span> </span></strong></p> <p><strong><span>Additional information</span></strong></p> <p> </p> <p><span>We attached transmitters to the skin of birds in two different ways over the course of the study. Initially, transmitters (LB-2XT, 0.33 g; Holohil Systems, Ltd; Carp, Ontario, Canada) were attached over trimmed feathers by trimming a small patch of feathers close to the skin in the mid-dorsal, interscapular region, and gluing the transmitter to the skin on top of the closely trimmed feathers using a latex-based skin adhesive. However, after preliminary assessment of the data, we suspected that the measurements were not closely representative of Ts and hence Tb because recordings were lower and more variable over a short time period than expected. Subsequently, transmitters were glued to an unfeathered area between the feather tracts (apterium), located slightly lateral to the mid-dorsal in the interscapular region. We refer to Ts data measured by transmitters attached directly to the skin as Ts-apterium, and data measured by transmitters attached over trimmed feathers as Ts-pteryla. </span></p> <p><span>We measured local external air temperature (Ta) during the study at the roost using data loggers (HOBO U10; Onset Computer Corporation, Bourne, Massachusetts, United States). We sourced data on local weather conditions (e.g., wind speed, relative humidity, cloud cover and rainfall) from the Richmond RAAF weather station (#067105) of the Australian Bureau of Meteorology, located approximately 4 km from the field site. At the roost site we deployed autonomous receiver/logger units to continuously record the pulse interval of each transmitter and hence the Ts of birds at ten minute or shorter intervals when they were at the roost site. Often receiver/logger units recorded the pulse interval multiple times when it cycled through each individual so there is at times up to 3 skin temperature measurements within a single minute, thus have the same timestamp.</span></p>
TRPM8 thermosensation in ectotherms mediates both skin colour and locomotor performance responses to cold temperature
<p>Thermoregulation is a homeostatic process to maintain an organism's internal temperature within a physiological range compatible with life. In ectotherms, body temperature fluctuates with that of the environment, with both physiological and behavioral responses employed to modify body temperature. Changing skin colour/reflectance and locomotor activity are both well-recognized temperature regulatory mechanisms, but little is known of the participating thermosensor/s. We find that <em>Xenopus laevis</em> tadpoles put in the cold exhibit a temperature-dependent and rapid melanosome aggregation in melanophores, which lightens the skin. To identify the cold-sensor, we focused on <em>transient receptor potential</em> (trp) channel genes from group 1 (TRPA, TRPM, TRPV and TRPC families). Of particular interest were TRPM family members, known as cold sensors. mRNAs for several TRPMs are present in <em>Xenopus</em> tails, and TRPM8 protein is present in skin melanophores. Temperature-induced melanosome aggregation is mimicked by the Trpm8 agonist menthol (WS12) and blocked by the Trpm8 antagonist PF05105679. The degree of skin lightening induced by cooling or the WS12 TRPM8 agonist correlates with the extent of alterations in locomotor performance. We propose that TRPM8 serves as a cool thermosensor in ectotherms that helps coordinate skin lightening and behavioural locomotor performance as adaptive thermoregulatory responses to cold.</p>
Skin temperature data from northern bats (Eptesicus nilssonii) in Norway
<p><span>Strong seasonality at high latitudes represents a major challenge for many endotherms as they must balance survival and reproduction in an environment that varies widely in food availability and temperature. To avoid energetic mismatches caused by limited foraging time and stochastic weather conditions, bats employ the energy-saving state of torpor during summer to save accumulated energy reserves. However, at high latitudes small-bats-in-summer face a particular challenge: as nocturnal foragers they rely on the darkness at night to avoid predators and/or interspecific competition, but live in an environment with short, light summer nights, and even a lack of true night at the northernmost distributions of some bat species. To predict optimal behaviour in relation to latitudinal variation in diurnal cycles, we constructed a stochastic dynamic programming model of bats living at high latitudes. Using a stochastic dynamic programming framework with values that are representative for our study system, we show that individual energetic reserves are a strong driver of daytime use of torpor and night-time foraging behaviour alike, with these linked effects being both temperature and photoperiod dependent. We further used the model to predict survival probabilities at five locations across a latitudinal gradient (60.1</span><span>°</span><span>N to 70.9</span><span>°</span><span>N), finding that combinations of photoperiod and temperature conditions limited population distributions in the model. To verify our model results, we compared predictions for optimal decisions with our own empirical data collected on northern bats (<em>Eptesicus nilssonii</em>) from two latitudes in Norway. The similarities between our predictions and observations provide strong evidence that this model framework incorporates the most important drivers of diurnal decision-making in bat physiology and behaviour. Comparing empirical data and model predictions also revealed that bats facing lighter night conditions further north restrict their mass gain, which strengthens the hypothesis that predation threat is a main driver of bat nocturnality. Our model findings regarding state-dependent decisions in bats should contribute to the understanding of how bats cope with the summer challenges at high latitudes.</span></p>
Different Cryocompression Devices and Skin Temperature of the Knee
ClinicalTrials.gov study NCT05355116. IPD Sharing: NO. Countries: 1. Publications: 5.
Skin Temperature Gradient Effects on the Variation of Metabolic Hormones in Adults
ClinicalTrials.gov study NCT03625817. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
TRPM8 thermosensation in ectotherms mediates both skin colour and locomotor performance responses to cold temperature
Open the record for dataset details and reuse information.
Data from: Temperature variation, bacterial diversity, and fungal infection dynamics in the amphibian skin
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The infrared instrument for sea surface temperature (iriss): An innovative and simplified design for measuring ocean surface skin temperature
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Skin temperature data from northern bats (Eptesicus nilssonii) in Norway
Open the record for dataset details and reuse information.
Effect of Prewarming On Skin Temperature Changes
ClinicalTrials.gov study NCT05063292. IPD Sharing: NO. Countries: 1. Publications: 6.
Correlation Between Esophageal Temperature and Skin Temperature in Trauma Patients
ClinicalTrials.gov study NCT05770830. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
The Effect of Photobiomodulation on Microvascular Blood Flow: The Role of Wavelength and Skin Temperature
ClinicalTrials.gov study NCT07338695. IPD Sharing: NO. Countries: 1. Publications: 2.
Effect of Pressure on Skin Temperature When Using a Cryocompression Device
ClinicalTrials.gov study NCT05454982. IPD Sharing: NO. Countries: 1. Publications: 4.
Skin Surface's Temperature Change When Auricular Acupuncture at Jaw Point and Tooth Point
ClinicalTrials.gov study NCT05164302. IPD Sharing: YES. Countries: 1. Publications: 4.
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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.