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246 results for “body temperature”
Urban Heat and Desert Wildlife: Rodent Body Condition Across a Gradient of Surface Temperatures in the greater Phoenix, Arizona (USA) metropolitan area (2019-2020)
We live-trapped wild rodents from seven field sites spanning three strata of land-surface temperatures in the Phoenix, Arizona (USA) metropolitan area. We captured 116 adult pocket mice (Chaetodipus spp. and Perognathus spp.) and Merriam’s kangaroo rats (Dipodomys merriami) during 2019 and 2020 from mountainous urban parks and open spaces. Animal body condition was quantified as percent body fat (i.e., fat mass divided by body mass). We used a noninvasive quantitative magnetic resonance instrument to measure body condition.
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>
Muskox body temperature and activity data
<p>Data on muskox (<em>Ovibos moschatus</em>) body temperature (°C) (mean, range, max and min) and activity (mean count) from Zackenberg in Northeast Greenland collected every 4 hours during the period from autumn 2017 to autumn 2018.</p>
Muskox body temperature and activity data
<p>Data on muskox (<em>Ovibos moschatus</em>) daily body temperature (mean, range, max, mean) and activity (mean count) collected from free-ranging muskoxen at Zackenberg, NE Greenland.</p> <p>New version has less significant figures to reflect the resolution of temperature and activity data.</p>
Data for: Long-term body size change in multiple landbird species, long-term change in temperature and precipitation as well as associations between temperature, precipitation, and morphological change in multiple landbird species, 2004 – 2019, 2021 - 2022.
<p>Six data sets used to look for long-term change in precipitation and temperature, body size change and possible environmental drivers of morphological change in birds captured during spring or fall migration in and around Lackawanna State Park, northeastern Pennsylvania, USA.</p> <p>The file labeled daily_temp_precip.csv contains daily precipitation and average daily temperature data from the Scranton/Wilkes Barre Airport (Avoca, Pennsylvania, USA) and the file called daily_temp_precip_1400 contains daily precipitation and daily temperature data from weather stations within 1,400 km of our study site location (41.6<sup>o</sup>N, 75.7<sup>o</sup>W), bounded by 80<sup>o</sup> W and 70<sup>o</sup>W longitude.</p> <p>The file called band_data_final.csv contains data collected from the first capture of individuals of multiple species during spring or fall migration, the file called all_hy_env_morph.csv contains temperature and precipitation anomaly data from Scranton/Wilkes Barre Airport (Avoca, Pennsylvania, USA), as well as morphological data from the first capture of all fall migrating young of the year.</p> <p>The file called all_hy_env_morph_1400.csv contains temperature and precipitation anomaly data from weather stations within 1,400 km of our study site location (41.6<sup>o</sup>N, 75.7<sup>o</sup>W), bounded by 80<sup>o</sup> W and 70<sup>o</sup>W longitude as well as morphological data from the first capture of all fall migrating young of the year while the file called local_hy_env_morph.csv contains temperature and precipitation anomaly data as well as first capture of local young of the year.</p>
Multi-year dataset for groundwater level, temperature, and chemical and isotopic compositions of different water bodies in an alpine catchment on the northeastern Qinghai-Tibet Plateau, China
<p>Here we provide the multi-year dataset for groundwater level, temperature, and chemical and isotopic compositions of different water bodies in an alpine catchment on the northeastern Qinghai-Tibet Plateau, China. The first file contains monitoring data, including groundwater levels and ground temperatures. The second file includes the results of the sample analyses as well as the numbers and locations of the sampling sites.</p>
Effects of severe anthropogenic disturbance on the heart rate and body temperature in free-living greylag geese (Anser anser)
<p>Anthropogenic disturbances are a major concern for the welfare and conservation of wildlife. We recorded heart rate and body temperature of 20 free-living greylag geese in response to a major regularly re-occurring anthropogenic disturbance, New Year’s Eve fireworks. Heart rate and body temperature were significantly higher in the first and second hour of the new year, compared to the same hour on the 31<sup>st</sup> of December, the average during December and the average during January. Heart rate and body temperature was not significantly affected by sex or age. From 0200-0300 onwards, 1<sup>st</sup> of January heart rates did not significantly differ from the other periods, however body temperatures were significantly increased until 0300-0400. From 0400-0500, heart rate was not affected by any of the investigated factors, whereas body temperature was significantly increased on the 1<sup>st</sup> of January compared 31<sup>st</sup> of December and the December average but not compared to the January average. To conclude, our results show that New Year’s Eve fireworks cause a substantial physiological response, indicative of a stress response in greylag geese, which is costly in terms of energy expenditure.</p>
Data and analysis from: Body mass, temperature, and depth shape the maximum intrinsic rate of population increase in sharks and rays
<p>An important challenge in ecology is to understand variation in species' maximum intrinsic rate of population increase, 𝑟<sub>𝑚𝑎𝑥</sub>, not least because 𝑟<sub>𝑚𝑎𝑥</sub> underpins our understanding of the limits of fishing, recovery potential, and ultimately extinction risk. Across many vertebrate species, terrestrial and aquatic, body mass and environmental temperature are important correlates of 𝑟<sub>𝑚𝑎𝑥</sub>. In sharks and rays, specifically, 𝑟<sub>𝑚𝑎𝑥</sub> is known be lower in larger species, but also in deep-sea ones.</p> <p>We use an information-theoretic approach that accounts for phylogenetic relatedness to evaluate the relative importance of body mass, temperature and depth on 𝑟<sub>𝑚𝑎𝑥</sub>. We show that both temperature and depth have separate effects on shark and ray 𝑟<sub>𝑚𝑎𝑥</sub> estimates, such that species living in deeper waters have lower 𝑟<sub>𝑚𝑎𝑥</sub>. Furthermore, temperature also correlates with changes in the mass scaling coefficient, suggesting that as body size increases, decreases in 𝑟<sub>𝑚𝑎𝑥</sub> are much steeper for species in warmer waters.</p> <p>These findings suggest that there are (as-yet understood) depth-related processes that limit the maximum rate at which populations can grow in deep sea sharks and rays. While the deep ocean is associated with colder temperatures, other factors that are independent of temperature, such as food availability and physiological constraints, may influence the low 𝑟<sub>𝑚𝑎𝑥</sub> observed in deep sea sharks and rays. Our study lays the foundation for predicting the intrinsic limit of fishing, recovery potential, and extinction risk species based on easily accessible environmental information such as temperature and depth, particularly for data-poor species.</p> <p>This repository contains the data and a minimum working example of the model-fitting process used for the article "Body mass, temperature, and depth shape productivity in sharks and rays", which is currently in press at <em>Ecology and Evolution</em>.</p>
Data from: Remarkable similarity of oxygen tolerance across marine taxa when standardized for temperature and body size
<p>Species' ranges are shifting in response to increasing temperature and decreasing oxygen in coastal oceans. Forecasting these shifts is limited by information on physiological oxygen thresholds and how they depend on temperature. Here, we adopt an ecophysiological metric, the metabolic index, and estimate its parameters from data collected on marine taxa using phylogenetic trait imputation. The metabolic index is the ratio of temperature-dependent rates of oxygen supply to basal oxygen demands. By applying a hierarchical phylogenetic model to a data set of 74 marine taxa that accounts for both taxonomic distance (from Linnean classification) and biases related to lab methods, we find that the critical oxygen pressure at a reference body size and temperature is remarkably consistent across taxa, ranging 2.9 to 4.9 kPa. In comparison, the estimated effect of temperature on the critical oxygen pressure was more variable among taxa. These findings suggest that species-level differences in oxygen tolerance might be primarily related to differences in body size and preferred temperature. Further, this work provides data-informed distributions of parameters for species that lack experimental data to aid species distribution forecasting.</p>
Figure 15 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 15. The variation of the Pianka mean niche overlap index deviation from random alternative within principal components 3 and 4. Spawning start: B_bjoerkna – Blicca bjoerkna, C_gibelio – Carassius gibelio, S_erythrophthalmus – Scardinius erythrophthalmus, A_brama – Abramis brama, P_fluviatilis – Perca fluviatilis, R_rutilus – Rutilus rutilus, E_lucius – Esox lucius; regression residuals of the spawning end dependence from the start: B_delta – Blicca bjoerkna, C_delta – Carassius gibelio, S_delta – Scardinius erythrophthalmus, A_delta – Abramis brama, P_delta – Perca fluviatilis, R_delta – Rutilus rutilus, E_delta – Esox lucius.
Figure 12 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 12. Spawning variance partitioning between broad-, medium-, and fine-scale temporal temperature patterns and biotope type explanatory variables. Notes: [a] – variation explained solely by broad temperature variables; [b] – variation explained solely by medium temperature variables; [c] – variation explained solely by fine temperature variables; [d] – variation explained solely by biotope type. The intersection of the ellipses corresponds to the variations explained by the respective sources together All the variance fractions shown are significant (p <0.001).
Figure 14 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 14. Relative variance of the principal components (in %). Method: ANOVA Method, Type I SS, columns denote cumulative sums of variance components.
Figure 13 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 13. The temporal variation of the principal components 1–5. the x-axis – years, the y-axis – the scores of the principal components 1–5.
Figure 10 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 10. Distribution histograms of the Pianka mean niche overlap indexes in different types of habitats: 1 – Nikolayev system of water bodies; 2 – river Protoch system and Obukhov floodplain; 3 – the channel of the river Dnipro; 4 – water bodies of the Taromske ledge.
Figure 4 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 4. Scalogram illustrating the scaling of temporally structured variation in polynomial trend residuals data. The abscissa axis – dbMEMs ordered decreasingly according to the scale of temporal patterns they represent (dbMEM 1 represents the broadest scale, dbMEM 104 the finest scale). The ordinate axis – value of R2 is the variation explained adj by individual dbMEM variables.
Figure 5. Broad-scale components RDA 1-3 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 5. Broad-scale components RDA 1-3 of the annual temperature variation. Black line – the original data, colored lines – smoothed data. The abscissa axis – the number of days from 1 July of the previous year to June 31 of the next year
Figure 1 in Body size and body conditions of two dung beetles species (Coleoptera: Scarabaeidae) related to environmental temperatures
Figure 1 Measures of body length in millimeters of individuals of Canthon rutilans cyanescens collected between August/2015 and May/2016 in (A) Santo Amaro da Imperatriz (200 m a.s.l.), whereas Sep/2105, n= 5; Oct/2015, n= 28; Nov/2015, n=6; Dec/2015, n=18; Jan/2016, n=3; Feb/2016, n=8; Mar/2016, n=7; Apr/2016, n=0; and (B) Rancho Queimado (800 m a.s.l.) in Santa Catarina state, whereas Sep/2105, n=0; Oct/2015, n=5; Nov/2015, n=0; Dec/2015, n=25; Jan/2016, n=8; Feb/2016, n=15; Mar/2016, n=7; Apr/2016, n=5. Also, measures of body length in millimeters of individuals of Dichotomius sericeus collected between November/2015 and April/2016 in two locations: (C) Santo Amaro da Imperatriz (200 m a.s.l.) Nov/2015, n=10; Dec/2015, n=56; Jan/2016, n=30; Feb/2016, n=10; Mar/2016, n=10; Apr/2016, n=0; and (D) Rancho Queimado (800 m a.s.l.) in Santa Catarina state, whereas Nov/2015, n=0; Dec/2015, n=8; Jan/2016, n=30; Feb/2016, n=29; Mar/2016, n=5; Apr/2016, n=9.
Figure 2 in Body size and body conditions of two dung beetles species (Coleoptera: Scarabaeidae) related to environmental temperatures
Figure 2 Body fat mass (red boxes) and muscle mass (blue boxes) of individuals of (A) Canthon rutilans cyanescens collected at two locations: Santo Amaro da Imperatriz (200 m a.s.l.; n=29) and Rancho Queimado (800 m a.s.l.; n=36) in Santa Catarina state; Body fat mass (red boxes) and muscle mass (blue boxes) of individuals of (B) Dichotomius sericeus collected at two locations: Santo Amaro da Imperatriz (200 m a.s.l.; n=29) and Rancho Queimado (800 m a.s.l.; n=31) in Santa Catarina state, south of Brazil.
Data from: Green‐brown polymorphism in alpine grasshoppers affects body temperature
<p>1. Ectothermic animals depend on external heat sources for pursuing their daily activities. However, reaching sufficiently high temperature can be limiting at high altitudes, where nights are cold and seasons short. We focus on the role of a green-brown color polymorphism in grasshoppers from alpine habitats. The green-brown polymorphism is phylogenetically and spatially widespread among Orthopterans and the eco-evolutionary processes that contribute to its maintenance have not yet been identified.<br> 2. We here test whether green and brown individuals heat up to different temperatures under field conditions. If they do, this would suggest that thermoregulatory capacity might contribute to the maintenance of the green-brown polymorphism.<br> 3. We recorded thorax temperatures of individuals sampled and measured under field conditions. Overall, thorax temperatures ranged 1.7–42.1°C. Heat up during morning hours was particularly rapid, and temperatures stabilized between 31 and 36°C during the warm parts of the day. Female body temperatures were significantly higher than body temperatures of males by an average of 2.4°C. We also found that brown morphs were warmer by 1.5°C on average, a pattern that was particularly supported in the polymorphic club-legged grasshopper Gomphocerus sibiricus and the meadow grasshopper Pseudochorthippus parallelus.<br> 4. The difference in body temperature between morphs might lead to fitness differences that can contribute to the maintenance of the color polymorphism in combination with other components, such as crypsis, that functionally trade-off with the ability to heat up. The data may be of more general relevance to the maintenance of a high prevalence polymorphism in Orthopteran insects.</p>
Figures 1–3 in Individual variation in the advertisement call of Aplastodiscus albosignatus (Anura: Hylidae) is correlated with body size and environmental temperature
Figures 1–3. Location of the study area: (1) map of Brazil highlighting the state of Paraná; (2) map of Paraná indicating the study area; (3) map of Paraná highlighting the physiognomy of the vegetation.
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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)
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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.