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Dataset results
12 results for “heating load”
Heat load maps at 100m resolution (Linz)
<p>Climate indices (e.g. mean annual number of summer days, hot days, tropical nights) for 30-year historical/future climate periods. The calculation method is based on the cuboid method, a statistical-dynamical downscaling procedure that combines high-resolution (100m) urban climate simulations with long-term climate information from monitoring data/regional climate projections.</p> <p><strong>Climate indices for historical/current periods:</strong> - Background climate information: monitoring data from the airport station Linz Hoersching (1961-2010) - Background climate information: historical (bias-corrected) EURO-CORDEX simulations (1971-2000)</p> <p><strong>Climate indices for future periods:</strong> - Background climate information: bias-corrected EURO-CORDEX model simulations for different representative concentration pathways (2021-2100)</p>
Image-based deformation measurements for validation of fusion divertor armour under high heat flux loading
<p>This data set contains all the images, DIC data and python scripts and FE input files that allows the reproduction of all results in the paper "Image-based deformation measurements for validation of fusion divertor armour under high heat flux loading" that this data is linked to.</p>
Flying, nectar-loaded honey bees conserve water and improve heat tolerance by reducing wingbeat frequency and metabolic heat production
<p><span>Heat waves are becoming increasingly common due to climate change, making it crucial to identify and understand the capacities for insect pollinators, such as honey bees, to avoid overheating. We examined the effects of hot, dry air temperatures on the physiological and behavioral mechanisms that honey bees use to fly when carrying nectar loads, to assess how foraging is limited by overheating or desiccation. We found that flight muscle temperatures increased linearly with load mass at air temperatures of 20</span><span> or 30°C, but, remarkably, there was no change with increasing nectar loads at an air temperature of 40°C. Flying, nectar-loaded bees were able to avoid overheating at 40°C by reducing their flight metabolic rates and increasing evaporative cooling. At high body temperatures, bees apparently increase flight efficiency by lowering their wingbeat frequency and increasing stroke amplitude to compensate, reducing the need for evaporative cooling. However, even with reductions in metabolic heat production, desiccation likely limits foraging at temperatures well below bees' critical thermal maxima in hot, dry conditions.</span></p>
Seedling growth of Cistus ladanifer after different treatments of heat shock and addition of different loads of Pinus pinaster litter and ash.
<p>Files in this folder include raw data corresponding to the paper: "Effects of different loads of <em>Pinus pinaster</em> Ait. litter and ash on the germination and growth of <em>Cistus ladanifer</em> L." Annals of Forest Science. These files incude:</p> <p>-Germination data of seeds exposed or not to a heat shock and then subjected to different treatments: control, high litter load, low litter load, high ash load and low ash load.</p> <p>-Length and biomass data of two and four months <em>Cistus ladanifer</em> seedlings after the addition of different loads of <em>Pinus pinaster</em> leaf litter and ash. Seeds had been previously exposed or not to a heat shock.</p> <p> </p>
Data from: Larger pollen loads increase risk of heat stress in foraging bumble bees
<p>Global declines in bumblebee populations are linked to climate change, but specific mechanisms imposing thermal stress on these species are poorly known. Here we examine the potential for heat stress in workers foraging for pollen, an essential resource for colony development. Laboratory studies have shown that pollen foraging causes increased thoracic temperatures (T<sub>th</sub>) in bees, but this effect has not been examined in bumblebees nor in real-world foraging situations. We examine the effects of increasing pollen load size on T<sub>th</sub> of <em>Bombus impatiens</em> workers in the field while accounting for body size and microclimate. We found that T<sub>th</sub> increased by 0.07°C for every mg of pollen carried (p = 0.007), resulting in a 2°C increase across the observed range of pollen load sizes. Bees carrying pollen were predicted to have a T<sub>th</sub> 1.7–2.2°C hotter than those without pollen, suggesting that under certain conditions, pollen loads could cause <em>B. impatiens</em> workers to heat from a safe T<sub>th</sub> to one within the range of critical thermal limits that we measured (41.3°C to 48.4°C). Bumblebees likely adopt behavioral or physiological strategies to counteract the thermal stress induced by pollen foraging and may have limited foraging opportunities as environmental temperatures continue to increase.</p>
Data from: Larger pollen loads increase risk of heat stress in foraging bumble bees
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Flying, nectar-loaded honey bees conserve water and improve heat tolerance by reducing wingbeat frequency and metabolic heat production
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Data from: Maternal loading of a small heat shock protein increases embryo thermal tolerance in Drosophila melanogaster
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500 Hourly Synthetic Single-Family Household Heat Pump Load Profiles for Karlsruhe, Germany (2021)
<p>We created a synthetic dataset of 500 hourly single-family household water-to-water heat pump load profiles based on the weather profile of Karlsruhe, Germany in 2021. We have applied the open-source methodology published in [1], which applies a k-means clustering process to match daily weather profiles with randomly drawn empirical observations from the high-quality heat pump load profile dataset published in [2]. We have selected a number of 5 clusters, for a good balance between variance of profiles and accuracy, as discussed in [1]. The dataset can be used for modeling large numbers of heat pumps in grid sections or energy communities. </p> <p>The unit of the measurement is Wh. Through the "SFH" identifier, the underlying, randomly drawn households from [2] can be identified. </p> <p>[1] Semmelmann, L., Jaquart, P., & Weinhardt, C. (2023). Generating synthetic load profiles of residential heat pumps: a k-means clustering approach. <em>Energy Informatics</em>, <em>6</em>(Suppl 1), 37.</p> <p>[2] Schlemminger, M., Ohrdes, T., Schneider, E., & Knoop, M. (2022). Dataset on electrical single-family house and heat pump load profiles in Germany. <em>Scientific data</em>, <em>9</em>(1), 56.</p>
Data from: Invasive grass fuel loads suppress native species by increasing fire intensity and soil heating
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A generic methodology for mapping the performances of heat pumps considering part-load behaviour - Supplementary material
<h2>Description</h2> <p>This is the supplementary material provided with the journal article "A generic methodology for mapping the performances of heat pumps considering part-load behaviour" published in Energy and Buildings on 2024, September 01. (<a href="https://doi.org/10.1016/j.enbuild.2024.114490">https://doi.org/10.1016/j.enbuild.2024.114490</a>).</p> <h2>Content</h2> <ul> <li>Datasets are provided as NetCDF files for European maps</li> <li>SCOP/SEER estimations at TMY locations are provided as CSV files</li> <li>COP/EER cruves at TMY locations are provided as CSV files</li> <li>NUTS aggregates of SCOP and Peak COP are provided as CSV files</li> <li>European maps are provided as PDF files.</li> </ul> <h2>Code availability</h2> <p>The code used to generate these datasets is openly available on GitLab (<a href="https://gitlab.com/antoine.rogeau/generic-heatpump-model.git">https://gitlab.com/antoine.rogeau/generic-heatpump-model.git</a>) or on Zenodo (<a title="https://doi.org/10.5281/zenodo.10594143" href="https://doi.org/10.5281/zenodo.10594143">https://doi.org/</a><a title="https://doi.org/10.5281/zenodo.10594143" href="https://doi.org/10.5281/zenodo.10594143">10.5281/zenodo.10594143</a>)</p> <div> <div> <div> </div> <div> <div> <div> </div> <div> <p> </p> <p> </p> </div> </div> </div> </div> </div>
The Effects of Pre-Loaded Betaine Supplementation on Thermoregulation and Exercise Metabolism in the Heat
ClinicalTrials.gov study NCT04585295. IPD Sharing: NO. Countries: 1. Publications: 0.
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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.