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91 results for “Environmental temperature”
Benthic macroinvertebrate, water temperature, and stream environmental data for Green Lakes Valley, 2021.
This dataset contains stream benthic macroinvertebrate community structure data from nine sites in the Green Lakes Valley ranging from below treeline near Albion Camp to the outflow of the Arikaree Glacier, all sampled in summer of 2021. The dataset also contains files with stream environmental data related to substrate stability, periphyton chlorophyll a concentrations, and water temperatures.
Environmental and physiochemical controls on coral calcification along a latitudinal temperature gradient in Western Australia
<p>Supplementary data for: Environmental and physiochemical controls on coral calcification along a latitudinal temperature gradient in Western Australia</p>
Assessing the prospective environmental performance of hydrogen from high-temperature electrolysis coupled with concentrated solar power
<p>Hydrogen is currently being promoted because of its advantages as an energy vector, its potential to decarbonise the economy, and strategical implications in terms of energy security. Hydrogen from high-temperature electrolysis coupled with concentrated solar power (CSP) is especially interesting since it enhances the last two aspects and could benefit from significant technological progress in the coming years. However, there is a lack of studies assessing its future environmental performance. This work fills this gap by carrying out a prospective life cycle assessment based on the expected values of key performance parameters in 2030. The results show that parabolic trough CSP coupled with a solid oxide electrolyser is a promising solution under environmental aspects.<br> It leads to a prospective hydrogen carbon footprint (1.85 kg CO2 eq/kg H2) which could be classified as low-carbon according to current standards. The benchmarking study for the year 2030 shows that the assessed system significantly decreases the hydrogen carbon footprint compared to future hydrogen from steam methane reforming (81% reduction) and grid electrolysis (51%), even under a considerable penetration of renewable energy sources.</p>
Dataset for 'Printed ecoresorbable temperature sensors for environmental monitoring'
<p>This data set contains the data collected during the FNS project Green Piezo (Grant no. 179064) in association with the recent publication entitled “Printed ecoresorbable temperature sensors for environmental monitoring”.</p> <p>This work aims to study the effect of photonic sintering parameters on the temperature behavior of printed zinc resistors, with the aim to fabricate eco-friendly and ecoresorbable temperature sensors on paper. Biodegradable electronic devices have potential in tackling the increasingly pressing challenge of electronic waste and printing methods allow to reduce toxic byproducts of fabrication and wasted material. The sintering method that is optimized here is based on our previous work combining electrochemical and photonic sintering approaches to enable the fabrication of highly-conductive degradable metal tracks. We optimize the sintering parameters to obtain zinc resistors with a high temperature coefficient of resistance and a linear temperature response curve. The data that was collected in the frame of this work is present in this repository. More information about the contents of the dataset is present in the included README files.</p>
Site environmental, climate, water levels and temperatures, vegetation cover, and GIS change detection for assessing permafrost change in fens on the Tanana Flats, central Alaska
This data package provides data used to assess the roles of climate extremes, ecological succession, and hydrology in repeated permafrost aggradation and degradation in fens on the Tanana Flats, central Alaska. The package provides data on site environmental information, Fairbanks climate, vegetation cover, water levels and temperatures, as well as GIS files for fen change detection. The Site data include information on observers, locations, geomorphology, hydrology, soils, vegetation, and disturbance. The table has numerous fields that uses coding for class characteristics and these codes are described in the metadata as well as compiled in the ELS_Arctic_Boreal_Site_Soil_Veg_Code_Sheet_2020.docx. Alaska Climate records for Fairbanks (UAF Experiment Station) from 1904 to 2019 were acquired from the National Oceanic and Atmospheric Administration (https://www.ncdc.noaa.gov/cdo-web/). Additional data were obtained for the Nenana station (about 70 km southwest of Fairbanks), to fill in small data gaps (particularly precipitation/snow depth ruler measurements) in the Fairbanks record. We attributed the data with fields for summer (May-September) and winter periods (November-March) and hydrologic year (October-September) and calculated mean air temperature, precipitation, and snow depth by seasonal period (average of daily values) and year. The broad summer and winter periods were of interest because warmer and wetter summers increase soil heat input and warmer and snowier winters reduce soil heat loss. Fen hydrology data include information on fen water level/pressure and temperatures collected every two hours at seven sites within fens from 2011 to 2014. Vegetation composition and cover of fens, scrub, and forests was sampled to assess effects of thermokarst on vegetation change. Plant cover was determined by point-sampling at 100 points (including repetitive “hits” for all layers) distributed along 5 equally spaced rows (4-m long, 20 points per row) across the 10-m l
Alaska Peatland Experiment: Biweekly flux data and environmental measurements (soil temperature, soil moisture, seasonal thaw depth, water table depth)
This dataset contains ecosystem respiration data measured biweekly at the Alaska Peatland Experiment (APEX) gradient plots. Five plots encompass the gradient all changing in dominant vegetation type. Plot labels are as follows: BS (Black Spruce), WB (Shrub), TG (Grass), EC (Sedge/forb), Control (Rich fen). Data set also includes environmental data (soil temperature, soil moisture, seasonal thaw depth, water table depth) taken at the same time as each flux.
Adaptation to environmental temperature in divergent clades of the nematode Pristionchus pacificus
<p><span>Because of ongoing climate change, populations of organisms are being subjected to stressful temperatures more often. This is especially problematic for ectothermic organisms, which are likely to be more sensitive to changes in temperature. Therefore, we need to know if ectotherms have adapted to environmental temperature and, if so, what are the evolutionary mechanisms behind such adaptation. Here, we use the nematode <em>Pristionchus pacificus</em> as a case study to investigate thermal adaptation on the Indian Ocean island of La Réunion, which experiences a range of temperatures from coast to summit. We study the evolution of high temperature tolerance by constructing a phylogenetic tree of strains collected from many different thermal niches. We show that populations of <em>P. pacificus</em> at low altitudes have higher fertility at warmer temperatures. Most likely, this phenotype has arisen recently and at least twice independently, consistent with parallel evolution. We also studied low temperature tolerance and showed that populations from high altitudes have increased their fertility at cooler temperatures. </span><span>Together, these data indicate that <em>P. pacificus</em> strains on La Réunion are subject to divergent selection, adapting to hot and cold niches at the coast and summit of the volcano.</span><span> </span><span>Precisely defining these thermal niches provides essential information for models that predict the impact of future climate change on these populations.</span></p>
Cross-site Canopy Leaf Temperature and associated Environmental Data
<p>This dataset includes canopy leaf temperature along with meteorology, flux, and radiation data from 6 forest sites in North and Central America. Canopy temperature (Tcan) data are based on thermal images to understand how Tcan varies with Tair and with environmental conditions. Importantly, these measurements span multiple growing seasons and are near-continuous in nature, as they were collected by thermal cameras mounted on eddy covariance towers that also measured a wide range of co-located environmental variables, including Tair, relative humidity, wind speed and direction, short- and long wave radiation, soil moisture and temperature, and ecosystem-atmosphere exchanges of CO<sub>2</sub>, H<sub>2</sub>O, and energy. We necessarily averaged multiple leaves in each region of interest at each site, and we then averaged multiple thermal images into hourly data, so some extremes in Tcan are not captured.</p>
Environmental controls on butterfly occurrence and species richness in Israel: The importance of temperature over rainfall
<p>Aim Butterflies are considered important indicators representing the state of biodiversity and key ecosystem functions, but their use as bioindicators requires better understanding of how their observed response link to environmental factors. Moreover, better understanding how butterfly faunas vary with climate and land cover may be useful to estimate the potential impacts of various drivers, including climate change, botanical succession, grazing, and afforestation. It is particularly important to establish which species of butterflies are sensitive to each environmental driver. Location Israel, including the West Bank and Golan Heights. Methods To develop a robust and systematic approach for identifying how butterfly faunas vary with the environment, we analysed the occurrence of 73 species and the abundance of 24 species from Israeli Butterfly Monitoring Scheme (BMS-IL) data. We used Regional Generalised Additive Models to quantify butterfly abundance, and generalised linear latent variable models and generalised linear models to quantify the impact of temperature, rainfall, soil type, and habitat on individual species and on the species community. Results Species richness was higher along cooler transects, and also for hilly and mountainous transects in the Mediterranean region (rendzina and Terra Rossa soils) compared with the coastal plain (Hamra soil) and semi-arid northern Jordan Vale (loessial serozem soil). Species occurrence was better explained by temperature (negative correlation) than precipitation, while for abundance the opposite pattern was found. Soil type and habitat were insignificant drivers of occurrence and abundance. Conclusions Butterfly faunas responded very strongly to temperature, even when accounting for other environmental factors. We expect that some butterfly species will disappear from marginal sites with global warming, and a large proportion will become rarer as the region becomes increasingly arid.</p>
Fig. 3 in Gastrointestinal parasite infestation in the alpine mountain hare (Lepus timidus varronis): Are abiotic environmental factors such as elevation, temperature and precipitation affecting prevalence of parasite species?
Fig. 3. Parasite infestation in faeces and ambient temperature. Correlation between parasite infestation in Alpine mountain hare faeces (n = 52) and average, minimal, and maximal temperature found in Vorarlberg (Austria) during the years 2014 and 2015. Count visualises the number of faecal samples. See text for details on statistics.
Fig. 2 in Gastrointestinal parasite infestation in the alpine mountain hare (Lepus timidus varronis): Are abiotic environmental factors such as elevation, temperature and precipitation affecting prevalence of parasite species?
Fig. 2. Number of parasite types per faeces and severity of parasitic infestation. Correlation between number of parasite types per Alpine mountain hare faeces and severity of parasitic infestation (n = 28) found in Vorarlberg (Austria) during the years 2014 and 2015. Count visualises the number of faecal samples. The severity of infestation is indicated by scattered ((+)), low (+), intermediate (++), and high (+++) infestation. See text for details on statistics.
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.
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.
Data for "Sr/Ca in shells of laboratory-grown bivalves (Arctica islandica) serves as a proxy for water temperature – Perspectives for (paleo)environmental research?"
<p>This repository contains all data generated for the publication "Sr/Ca in shells of laboratory-grown bivalves (<em>Arctica islandica</em>) serves as a proxy for water temperature – Perspectives for (paleo)environmental research?" currently under review.</p>
Adaptation to environmental temperature in divergent clades of the nematode Pristionchus pacificus
Open the record for dataset details and reuse information.
Environmental controls on butterfly occurrence and species richness in Israel: The importance of temperature over rainfall
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Data from: Testing the evolutionary potential of an alpine plant: Phenotypic plasticity in response to growth temperature outweighs parental environmental effects and other genetic causes of variation
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Time of activity is a better predictor of the distribution of a tropical lizard than pure environmental temperatures
<p>Environmental temperatures influence ectotherms' physiology and capacity to perform activities necessary for survival and reproduction. Time available to perform those activities is determined by thermal tolerances and environmental temperatures. Estimates of activity time might enhance our ability to predict suitable areas for species' persistence in face of climate warming, compared to the exclusive use of environmental temperatures, without considering thermal tolerances. We compare the ability of environmental temperatures and estimates of activity time to predict the geographic distribution of a tropical lizard, <i>Tropidurus torquatus</i>. We compared 105 estimates of activity time, resulting from the combination of four methodological decisions: (1) How to estimate daily environmental temperature variation (modeling a sinusoid wave ranging from monthly minimum to maximum temperature, extrapolating from operative temperatures measured in field or using biophysical projections of microclimate)? (2) In which temperature range are animals considered active? (3) Should these ranges be determined from body temperatures obtained in laboratory or in field? and (4) Should thermoregulation simulations be included in estimations? We show that models using estimates of activity time made with the sinusoid and biophysical methods had higher predictive accuracy than those using environmental temperatures alone. Estimates made using the central 90% of temperatures measured in a thermal gradient as the temperature range for activity also ranked higher than environmental temperatures. Thermoregulation simulations did not improve model accuracy. Precipitation ranked higher than thermally related predictors. Activity time adds important information to distribution modeling and should be considered as a predictor in studies of the distribution of ectotherms. The distribution of <i>T. torquatus</i> is restricted by precipitation and by the effect of lower temperatures on their time of activty and climate warming could lead to range expansion. We provide an R package "Mapinguari" with tools to generate spatial predictors based on the processes described herein.</p>
Systematic review and meta-analysis: water type and temperature affect environmental DNA decay metadata
<p>Environmental DNA (eDNA) has been used in a variety of ecological studies and management applications. The rate at which eDNA decays has been widely studied but at present it is difficult to disentangle study-specific effects from factors that universally affect eDNA degradation. To address this, a systematic review and meta-analysis was conducted on aquatic eDNA studies. Analysis revealed eDNA decayed faster at higher temperatures and in marine environments (as opposed to freshwater). DNA type (mitochondrial or nuclear) and fragment length did not affect eDNA decay rate, although a preference for < 200 bp sequences in the available literature means this relationship was not assessed with longer sequences (<em>e.g.</em> > 800 bp). At present, factors such as ultraviolet light, pH, and microbial load lacked sufficient studies to feature in the meta-analysis. Moving forward, we advocate researching these factors to further refine our understanding of eDNA decay in aquatic environments. This dryad entry contains the metadata which formed the basis for the meta-analysis.</p>
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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.