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79 results for “Heat waves”
Data from: Direct and transgenerational effects of an experimental heat wave on early life stages in a freshwater snail
<p>Data are saved as tab delimited text files (adults_and_egg_clutches.txt, egg_size.txt, offspring_survival_and_size.txt). Data files have the following columns:</p> <p>adults_and_egg_clutches.txt:<br> mat_temp - maternal temperature treatment (15C, 25C)<br> mat_surv - survival of maternal snails (1 = yes, 0 = no)<br> mat_rep - reproduction of maternal snails (1 = yes, 0 = no)<br> eggs - the number of oviposited eggs<br> offspring_temp - offspring temperature treatment (15C, 25C)<br> hatchlings - the number of hatched offspring<br> first_hatching - the first day of hatching after the egg clutch was laid<br> median_hatching - the median hatching day after the egg clutch was laid<br> last_hatching - the last day of hatching after the egg clutch was laid</p> <p>egg_size.txt:<br> mat_temp - maternal temperature treatment (15C, 25C)<br> clutch - egg clutch the offspring originated from<br> size - two-dimensional area of the egg (mm2)</p> <p>offspring_survival_and_size.txt:<br> mat_temp - maternal temperature treatment (15C, 25C)<br> offspring_temp - offspring temperature treatment (15C, 25C)<br> clutch - egg clutch the offspring originated from<br> surv - survival until the end of the experiment (1 = yes, 0 = no)<br> size - shell length at the end of the experiment (mm)</p>
Heat waves during egg development alter maternal care and offspring quality in the European earwig
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Data from: Stress in native grasses under ecologically relevant heat waves
Future increases in the intensity of heat waves (high heat and low water availability) are predicted to be one of the most significant impacts on organisms. Using six native grasses from Eastern Australia, we assessed their capacity to tolerate heat waves with low water availability. We were interested in understanding differential response between native grasses of differing photosynthetic pathways in terms of physiological and some molecular parameters to ecologically relevant summer heat waves that are associated with low rainfall. We used a simulation heatwave event in controlled temperature cabinets and investigated effects of the different treatments on four stress indicators: leaf senescence, leaf water content, photosynthetic efficiency and the relative expression of two heat shock proteins, Hsp70 and smHsp17.6. Leaf senescence was significantly greater under the combined stress treatment, while declines in leaf water content and photosynthetic efficiency were much larger for C3 than C4 plants, particularly under the combined stress treatment. Species showed an increase in expression of Hsp70 associated with heat treatment, rather than drought stress. In contrast Hsp17.6 was only detected in two species, responding to heat rather than drought, although species' responses were variable. Overall, the C3 species were less tolerant than C4 species. Variation in individual plants within species was evident, especially under multiple stresses, and indicates that losses of individual plants may occur during a heat wave associated with this variability in tolerance. Heat waves will impose significant stress on plant communities that would not otherwise occur when heat and drought stress are experienced singly. Using ecologically relevant heat stress is likely to yield better predictability of how native plants will cope under a hotter, drier future.
Dataset for Electron heating associated with magnetic reconnection in foreshock waves: particle-in-cell simulation analysis
<p>The dataset is the simulation data included in the paper of "Electron heating associated with magnetic reconnection in foreshock waves: particle-in-cell simulation analysis".</p> <p>pic_data....zip (4 files) contain PIC simulation data in the binary format.<br> pic_data_x120-180_y-30-0_part1.zip and pic_data_x120-180_y-30-0_part2.zip are for the sub-domain of x=120~180 di, y=-30~0 di<br> pic_data_x120-180_y30-60_part1.zip and pic_data_x120-180_y30-60_part2.zip are for x=120~180 di, y=30~60 di.<br> For each file, the prefix (e.g., bx, ey, ne, etc.) indicates the quantity. The number in the suffix indicates the time step in units of omega_pe^-1, where 3733 omega_pe^-1 corresponds to 0.5 omega_ci^-1. <br> Each file contains float data arrays with a size of 6272x3136x1, corresponding to x-y dimensions. Data can be read by softwares like IDL, python, Matlab, etc, using the standard data reading method.</p> <p>fermi_dat.zip contains data for the Fermi decomposition calculations shown in Figure 8. Each file is for one event. The 3 columns are for time (twci), Fermi_xy, and Fermi_z. Fermi_xy and Fermi_z are for the unit area, and the total Fermi term is equal to Fermi_xy+Fermi_z.</p> <p>je_te_dat.zip contains data for Te and je.E decomposition, used to produce Figures 4 and 6. Each file is for one event, where the region is shown in the filename. The columns are:</p> <p>time (in twci),</p> <p>number of X-lines in the region,</p> <p>total je.E (integrated over the area),</p> <p>jepara.Epara,</p> <p>jeperp.Eperp,</p> <p>sum of the perpendicular jeperp.Eperp decompositions (ideally should be equal to jeperp.Eperp value),</p> <p>Fermi,</p> <p>Betatron,</p> <p>magnetization,</p> <p>demagnetized (jeperp.Eperp in regions with K<1),</p> <p>average Te over the area,</p> <p>delta_Te/miVA^2 where delta_Te is the average Te over the area subtracting the minimum Te in the area, and VA is based on the average |B| and n in the area</p> <p>delta_Te/miVA^2, where delta_Te is the same as above, and VA is based on the magnetic field amplitude in the x-y plane</p> <p>average Te over 2di x 2di surrounding X-line</p> <p>delta_Te/miVA^2, where delta_Te is the average Te over 2dix2di subtracting the minimum Te in the area, and VA is based on average |B| and n in the area</p> <p>average Te over 2dex2de surrounding X-line</p> <p>delta_Te/miVA^2, where dleta_Te is the average Te over 2dex2de subtracting the minimum Te in the area, and VA is based on the magnetic field amplitude in the x-y plane</p> <p>delta_Te/miVA^2, where dleta_Te is the average Te over 2dex2de subtracting the minimum Te in the area, and VA is based on the average |B| and n in the area</p> <p>average |B| in the area</p> <p>average magnetic field amplitude in the x-y plane</p> <p>average density n</p> <p>minimum Te in the area</p> <p> </p> <p>je_te_norx_dat.zip contains Te and je.E data for non-reconnection current sheets. The format is the same with je_te_dat.zip</p> <p>thickness_data_plots.zip contains plots for individual current sheets at the time with a minimum thickness. The filename contains information about the current sheet, for example:</p> <p>cs_te_twci15.5_x45.292_y8.184_dte-1.07_d3.2_dve6.1_jm0.23.png</p> <p>means it is at the time twci=15.5, the X-line location is at x=45.292di, y=8.184 di, delta_Te/miVA^2 is -1.07%, where we take a cut along N across the X-line, delta_Te is the difference between the average Te in the current sheet and that just outside of the current sheet, and VA is based on the inflow parameters outside of the current sheets on both sides of the current sheet. The thickness of the current sheet is 3.2 de. The VeL shear flow at the edges of the current sheet is 6.1 VA, and the maximum jz is 0.23. The thickness information is used for plotting Figure 10.</p> <p> </p> <p> </p>
In situ observational data for "Typhoon-associated short-term marine heat waves in the northern South China Sea coastal waters"
<p>The in situ observational data for "Typhoon-associated short-term marine heat waves in the northern South China Sea coastal waters", which will be submitted to the Journal of GRL</p>
The 3-week-long transport history and deep tropical origin of the 2021 extreme heat wave in the Pacific Northwest
<p>This archive includes the data used for the manuscript "The 3-week-long transport history and deep tropical origin of the 2021 extreme heat wave in the Pacific Northwest" submitted to Geophysical Research Letter.<br> </p>
Efficacy of Electric Fans for Mitigating Thermal Strain in Older Adults During Heat Waves
ClinicalTrials.gov study NCT05695079. IPD Sharing: YES. Countries: 1. Publications: 3.
Efficacy of Ceiling Fans for Mitigating Thermal Strain During Bed Rest in Older Adults During Heat Waves
ClinicalTrials.gov study NCT06142890. IPD Sharing: YES. Countries: 1. Publications: 1.
Awareness of Individuals with Chronic Lung Disease About Climate Change, Heat Waves, Air Pollution and Physical Activity
ClinicalTrials.gov study NCT06592235. IPD Sharing: NO. Countries: 1. Publications: 5.
Thermal evolution ameliorates the long-term plastic effects of warming, temperature fluctuations and heat waves on predator-prey interaction strength
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Data from: Stress in native grasses under ecologically relevant heat waves
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Responses of Manduca sexta larvae to heat waves
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Dataset for: Heat wave-induced microbial thermal trait adaptation and its reversal in the Subarctic
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Using naturalistic incubation temperatures to demonstrate how variation in the timing and continuity of heat wave exposure influences phenotype
<p>Most organisms are exposed to bouts of warm temperatures during development, yet we know little about how variation in the timing and continuity of heat exposure influences biological processes. If heat waves increase in frequency and duration as predicted, it is necessary to understand how these bouts could affect thermally sensitive species, including reptiles with temperature-dependent sex determination (TSD). In a multi-year study using fluctuating temperatures, we exposed <i>Trachemys scripta</i> embryos to cooler, male-producing temperatures interspersed with warmer, female-producing temperatures (heat waves) that varied in either timing during development or continuity and then analyzed resulting sex ratios. We also quantified the expression of genes involved in testis differentiation (<i>Dmrt1</i>) and ovary differentiation (<i>Cyp19A1</i>) to determine how heat wave continuity affects the expression of genes involved in sexual differentiation. Heat waves applied during the middle of development produced significantly more females compared to heat waves that occurred just 7 days before or after this window, and even short gaps in the continuity of a heat wave decreased the production of females. Continuous heat exposure resulted in increased <i>Cyp19A1 </i>expression while discontinuous heat exposure failed to increase expression in either gene over a similar time course. We report that even small differences in the timing and continuity of heat waves can result in drastically different phenotypic outcomes. This strong effect of temperature occurred despite the fact that embryos were exposed to the same number of warm days during a short period of time, which highlights the need to study temperature effects under more ecologically relevant conditions where temperatures may be elevated for only a few days at a time. In the face of a changing climate, the finding that subtle shifts in temperature exposure result in substantial effects on embryonic development becomes even more critical.</p>
Population growth in response to density and extrinsic heat waves in the copepod, Tigriopus californicus
<p>Heat waves are transient environmental events but can have lasting impacts on populations through lethal and sub-lethal effects on demographic vital rates. Sub-lethal temperature stress affects individual energy balance, potentially affecting individual fitness and population growth. Environmental temperature can, however, have distinct effects on different life-history traits, and the net effect of short-term temperature stress on population growth may lead to different population responses over different time frames. Furthermore, sublethal temperature responses may be density dependent, leading to potentially complicated feedbacks between heat stress and demographic responses over time. Here, we test the hypotheses that: (i) populations subjected to higher heat wave temperatures and longer heat wave durations are more negatively affected than those subjected to less intense and shorter heat waves, (ii) heat wave effects are more pronounced during density-dependent population growth phases, and (iii) population density patterns over time mirror the short-term population growth rate responses. We subjected experimental populations of the marine copepod <em>Tigriopus californicus</em> to short-term heat stress perturbations ("heat waves") at two different time points during a 100-day period. Overall, we found that population growth rates and density responded similarly (and moderately) to heat wave intensity and duration, and that the heat wave effects on populations were largely density-dependent. We detected heat wave effects on population growth and density at low densities, but not at high densities. At low densities, we found that population growth declined with heat wave duration for the more intense heat wave intensity group, but did not detect an effect of heat wave duration within the less intense heat wave intensity group. Our study demonstrates that while ephemeral density-independent factors can influence population vital rates, understanding the longer-term consequences of transient perturbations on populations requires understanding these effects in the context of density dependence and its relationship to temperature. Higher densities may buffer the negative effects of intense heat waves and confer some degree of resilience.</p>
Skillful Subseasonal Forecasts of Marine Heat Waves using Machine Learning
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Southern Europe and Western Asia Marine Heat Waves (SEWA-MHWs): a dataset based on macroevents
<p>This repository contains the SEWA-MHWs dataset, which consists of daily fields of Marine heatwaves (MHWs) macroevents, daily fields of MHWs characteristics, and daily fields of relevant atmospheric variables over Southern Europe and Western Asia region. It contains also the codes to detect MHWs macroevents and their characteristics. The SEWA-MHWs dataset is derived from the European Space Agency (ESA) Climate Change Initiative (CCI) Sea Surface Temperature (SST) v2.1 dataset and it covers the 1981-2016 period. This dataset is presented and described in detail in the "Southern Europe and Western Asia Marine Heat Waves (SEWA-MHWs): a dataset based on macroevents" manuscript by Giulia Bonino, Simona Masina, Giuliano Galimberti, and Matteo Moretti submitted to Earth System Science Data journal (Bonino et al., 2022). </p> <p>This repository contains 3 compressed (*.zip) folders:</p> <p>A) MHWs: it contains daily fields of MHWs macroevents, daily fields of MHWs characteristics</p> <ol> <li>SEWA_labels.nc: daily fields of labels. Each unique label represents a macro event. </li> <li>SEWA_IndStart.nc: daily fields of MHWs index start.</li> <li>SEWA_IndPeak.nc: daily fields of MHWs index peak.</li> <li>SEWA_IndEND.nc: daily fields of MHWs index end.</li> <li>SEWA_Category.nc: daily fields of MHWs categories.</li> <li>SEWA_IntMAx.nc: daily fields of MHWs maximum intensity [°C].</li> <li>SEWA_IntMean.nc: daily fields of MHWs mean intensity [°C].</li> </ol> <p>B) CODES: Python notebooks to detect MHWs macroevents and their characteristics.</p> <ol> <li>MHWs_stl.ipynb to detect MHWs and their characteristics</li> <li>SEWA_LABEL.ipynb: to generate the MHWs macroevents</li> <li>MHWs_filter.ipynb: to filter out the smallest macroevents</li> <li>STL_MarineHeatwaves.py: it contains the function “detect_stl” to detect MHWs using STL method used in MHW_stl.ipynb. This function is a modification of the “detect” function in the marineHeatWaves package created by Eric Oliver (<a href="https://github.com/ecjoliver/marineHeatWaves">https://github.com/ecjoliver/marineHeatWaves</a>).</li> </ol> <p>C) ATM: daily mean fields of relevant atmospheric variables taken from ERA5 (Hersbach et al., 2020, freely available at https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview). These data are subsets of the ERA5 dataset, after minimal post-processing manipulation. The area extracted for these meteorological parameters is slightly bigger than the SEWA region, allowing the investigation of remote influences and/or responses of these variables in relationship with MHWs macroevents. The covered area is from 10°N to 70°N in latitude and from 50°W to 80°E in longitude. The covered period is 1981-2016.</p> <ol> <li>SEWA_T2.nc: daily mean fields of 2 meter temperature [K]. “2m temperature” is the native variable name in ERA5 dataset. Unlike ERA5 dataset the data are provided as daily mean.</li> <li>SEWA_LAT.nc: daily mean fields of surface latent heat flux [W/m<sup>2</sup>]. “Surface latent heat flux” is the native variable name in ERA5 dataset. Unlike ERA5 the data are provided as daily mean and in W/m<sup>2</sup> instead of J/m<sup>2</sup>.</li> <li>SEWA_SENS.nc: daily mean fields of surface sensible heat flux [W/m<sup>2</sup>]. “Surface sensible heat flux” is the native variable name in ERA5 dataset. Unlike ERA5 the data are provided as daily mean and in W/m<sup>2 </sup>instead of J/m<sup>2</sup>.</li> <li>SEWA_SLP.nc: daily mean fields of mean sea level pressure [Pa]. “Surface pressure” is the native variable name in ERA5 dataset. Unlike ERA5 the data are provided as daily mean.</li> <li>SEWA_WIND.nc: daily mean fields of 10 meter wind speed [m/s]. This variable is calculated from the wind components “10m u-component of wind” and “10m v-component of wind” of the ERA5 dataset. Unlike ERA5 the data are provided as daily mean.</li> <li>SEWA_SW.nc: daily mean fields of incoming solar radiation [W/m<sup>2</sup>]. “Surface solar radiation downwards” is the native variable name in ERA5 dataset. Unlike ERA5 the data are provided as daily mean and in W/m<sup>2</sup> instead of J/m<sup>2</sup>.</li> </ol> <p>REFERENCES:</p> <p>Bonino, G., Masina, S., Galimberti, G., & Moretti, M. (2022). Southern Europe and Western Asia marine heat waves (SEWA-MHWs): a dataset based on macro events. <em>Earth System Science Data Discussions</em>, 1-19.</p> <p>Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., et al.: The ERA5 global reanalysis, Quarterly Journal of the Royal Meteorological Society, 146, 1999–2049, 2020.</p>
Data for Port-Hamiltonian Heat and Wave models
<p>Data files for port-Hamiltonian heat and wave equation models</p>
Preparing for Heat Waves - Enhancing Human Thermophysiological Resilience
ClinicalTrials.gov study NCT06389604. IPD Sharing: NO. Countries: 0. Publications: 2.
Cardiovascular Responses to Heat Waves in the Elderly
ClinicalTrials.gov study NCT04538144. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.