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ShareScore release 0.7.1
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82 results for “climate and heat”
CYGNSS Level 2 Ocean Surface Heat Flux Climate Data Record Version 1.0
This dataset contains the first release, Version 1.0, of the CYGNSS Level 2 Ocean Surface Heat Flux Climate Data Record (CDR), which provides the time-tagged and geolocated ocean surface heat flux parameters with 25x25 kilometer footprint resolution with 1-2 month latency from the Delay Doppler Mapping Instrument (DDMI) aboard the CYGNSS satellite constellation. The Cyclone Global Navigation Satellite System (CYGNSS) is a NASA Earth System Science Pathfinder Mission designed to collect the first frequent space-based measurements of surface wind speeds in the inner core of tropical cyclones. The Coupled Ocean-Atmosphere Response Experiment (COARE) version 3.5 algorithm combines CYGNSS L2 CDR v1.0 ocean surface wind speed estimates with the auxiliary parameters provided by the NASA Modern-Era Retrospective Analysis for Research and Applications Version 2 (MERRA-2) to produce latent and sensible heat fluxes and their respective transfer coefficients. More information on how the data is produced and validated can be found in the dataset user guide (see Documentation tab). More information on the CYGNSS mission, spacecraft, instrumentation and related datasets is available here: https://podaac.jpl.nasa.gov/CYGNSS. Additional information on the CYGNSS L2 CDR v1.0 wind speed dataset is available here: https://doi.org/10.5067/CYGNS-L2C10.
CYGNSS Level 2 Ocean Surface Heat Flux Climate Data Record Version 1.2
This dataset contains the third release, Version 1.2, of the CYGNSS Level 2 Ocean Surface Heat Flux Climate Data Record (CDR), which provides the time-tagged and geolocated ocean surface heat flux parameters with 25x25 kilometer footprint resolution with 6-7 day latency from the Delay Doppler Mapping Instrument (DDMI) aboard the Cyclone Global Navigation Satellite System (CYGNSS) constellation. CYGNSS is a NASA Earth System Science Pathfinder Mission designed to collect the first frequent space-based measurements of surface wind speeds in the inner core of tropical cyclones. The Coupled Ocean-Atmosphere Response Experiment (COARE) version 3.5 algorithm combines CYGNSS L2 CDR v1.2 ocean surface wind speed estimates with the auxiliary parameters provided by the European Centre for Medium-Range Weather Forecasts Reanalysis Version 5 (ERA5) to produce latent and sensible heat fluxes and their respective transfer coefficients. More information on how the data is produced and validated can be found in the dataset user guide (see Documentation tab). More information on the CYGNSS mission, spacecraft, instrumentation and related datasets is available here: https://podaac.jpl.nasa.gov/CYGNSS . Additional information on the CYGNSS L2 CDR v1.2 wind speed dataset is available here: https://doi.org/10.5067/CYGNS-L2C12 .
Heat tolerances of temperate and tropical birds and their implications for susceptibility to climate warming
<ol> <li>Characterizing heat tolerance is critical for predicting an organism's vulnerability to climate warming. Recent studies of ectotherms report that impacts of climate warming are expected to be greater in the tropics, where ectotherms tend to have lower heat tolerances and experience air temperatures closer to their heat tolerance limits than their temperate counterparts. However, similar comparisons of heat tolerance are largely lacking for endotherms, and it remains an open question whether climate warming will also disproportionately affect tropical endotherms.</li> <li>To address this empirical gap, we measured thermoregulatory responses to acute heat stress in 81 bird species (23 temperate, 58 tropical), assembling the largest comparative dataset of endothermic heat tolerances to date.</li> <li>After controlling for body mass and experimental chamber humidity, temperate species had significantly higher heat tolerance limits (ΔHTL = 2.2 °C; 45.2 vs. 40 °C) and upper critical temperatures (ΔUCT = 1.1 °C; 38.7 vs. 37.6 °C) on average than tropical species. Importantly, however, these differences do not appear to impact vulnerability to climate warming, as neither thermal safety margins (i.e. the difference between UCT and maximum air temperature, T<sub>max</sub>) nor warming tolerances ( the difference between HTL and T<sub>max</sub>) differed between temperate and tropical species. We also observed substantial variation in heat tolerance among avian orders, with pigeons and doves (Columbiformes) being among the most heat tolerant species in our dataset.</li> <li>Overall, our results suggest that, from a physiological standpoint, tropical birds may not be systematically more susceptible to climate warming than temperate birds, contrasting previous studies of ectotherms. Furthermore, we show that certain avian clades may be more resilient to warming irrespective of local climate. However, because we only sampled at one temperate and one tropical site, we caution that replication from other habitats and localities are needed to evaluate the generality of our findings.</li> </ol>
Supplementary Data and Scripts for 'Extreme heat and drought typical of an end-of-century climate could occur soon and repeatedly over Europe', Suarez-Gutierrez et al., 2023
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Supplementary material 2 from: Brzoska P, Fügener T, Moderow U, Ziemann A, Schünemann C, Westermann J, Grunewald K, Maul L (2022) Towards a web tool for assessing the impact of climate change adaptation measures on heat stress at urban site level. One Ecosystem 7: e85559. https://doi.org/10.3897/oneeco.7.e85559
Table of data inputs/outputs
Supplementary material 1 from: Brzoska P, Fügener T, Moderow U, Ziemann A, Schünemann C, Westermann J, Grunewald K, Maul L (2022) Towards a web tool for assessing the impact of climate change adaptation measures on heat stress at urban site level. One Ecosystem 7: e85559. https://doi.org/10.3897/oneeco.7.e85559
Results of the internet search
Supplementary material 1 from: Sprondel N, Donner J, Mahlkow N, Köppel J (2016) Urban climate and heat stress: how likely is the implementation of adaptation measures in mid-latitude cities? The case of façade greening analyzed with Bayesian networks. One Ecosystem 1: e9280. https://doi.org/10.3897/oneeco.1.e9280
Questionnaire for Bayesian network analysis
Data and code to support the paper: "Heat stress on the brown seaweed Ascophyllum nodosum: differential population sensitivity to future climate."
<p>This repository corresponds to the data and scripts required to replicate analysis presented in paper: <br> "Heat Stress on the brown Seaweed Ascophyllum nodosum: differential population sensitivity to future climate."</p> <p>It imports and analysis data on:<br> </p> <ul> <li>Growth;</li> <li>Net primary production (Npp);</li> <li>Respiration;</li> <li>Survival;</li> <li>Temperature modellation (In situ via climatic variables);</li> <li>Cummulative-product survivability hindcast and forecast;</li> <li>Population size modellation via survivability models together with demographic matricial data.</li> </ul>
Heat exposure variations and mitigation in a densely populated neighborhood during a hot day: Towards a people-oriented approach to urban climate management
<p>Archive with PALM simulation results.</p>
Data from: Potential for adaptation to climate change: family-level variation in fitness-related traits and their responses to heat waves in a snail population
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Data from: Extreme heat events and the vulnerability of endemic montane fishes to climate change
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Climate dependent heating efficiency in the common lizard
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Heat tolerances of temperate and tropical birds and their implications for susceptibility to climate warming
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Supporting Data for Feldl et al. 2017: Coupled high-latitude climate feedbacks and their impact on atmospheric heat transport
<p>This dataset includes GFDL AM2.1 model output used to create figures in the following papers: Feldl, N., S. Bordoni, and T. M. Merlis, 2017: Coupled high-latitude climate feedbacks and their Impact on atmospheric heat transport. <em>J. Climate</em>, 30, 189–201, https://doi.org/10.1175/JCLI-D-16-0324.1; and Feldl, N., B. T. Anderson, and S. Bordoni, 2017: Atmospheric eddies mediate lapse rate feedback and Arctic amplification. <em>J. Climate</em>, 30, 9213–9224, https://doi.org/10.1175/JCLI-D-16-0706.1. Here we provide monthly climatologies averaged over the last thirty years of each experiment.</p>
Data_Mass and heat balance of a lake ice cover in the Central Asian arid climate zone
<p>The data of the article "Mass and heat balance of a lake ice cover in the Central Asian arid climate zone".</p>
Supporting Data for Hahn et al. J. Climate: Contribution of AMOC Decline to Uncertainty in Global Warming via Ocean Heat Uptake and Climate Feedbacks
<p>This dataset includes CESM2 model output for the dehose4x experiment in Hahn et al.: “Contribution of AMOC Decline to Uncertainty in Global Warming via Ocean Heat Uptake and Climate Feedbacks” submitted to Journal of Climate. The piControl and abrupt-4xCO2 experiments for CESM2 and other CMIP6 models can be found in the Earth System Grid Federation (ESGF) repository at <a href="https://esgf-node.llnl.gov/projects/esgf-llnl/" target="_blank" rel="noopener">https://esgf-node.llnl.gov/projects/esgf-llnl/</a>.</p>
Transcriptome of Tribolium castaneum selection lines (control-, drought-, heat-, heat/drought-adapted) under different climatic conditions
GEO Series GSE156256. Tribolium castaneum. 244 samples. Type: Expression profiling by high throughput sequencing.
Identification of Candidate Master Regulators of the Response to Early Heat Stress in Climate-adapted Wheat Landraces via Transcriptomic and Co-expression Network Analyses
GEO Series GSE232367. Triticum aestivum. 30 samples. Type: Expression profiling by high throughput sequencing.
domOS Aalborg Living Lab: Indoor Climate and District Heating Control Data
<p>This dataset has been collected in context of the domOS H2020 project (<a href="https://www.domos-project.eu/">https://www.domos-project.eu/</a>). The dataset includes data about 147 family homes of which 144 are flats in 12 building blocks and the rest are single family buildings. All buildings are owned by a building association, and are heated via the local district heating company. The buildings have been renovated and are now prepared for low temperature district heating. Within the area, new private homes (mostly blocks and flats) are being built or renovated. The District heating supply to the 12 building blocks is supplied from a local mixing loop separating the district heating transmission from the local distribution. The heating installations in each block can be controlled as well as the mixing loop to the area. Energy and indoor climate data is supplied from selected apartments and from each heating central. The district heating to the 3 single family buildings is not supplied with district heating from the local mixing loop, but from the transmission line directly. In each building, datalogging and control on the heating installation are possible. Furthermore, data from indoor climate sensors as well as sensors on doors and windows is available. The ongoing data collection has been started in several steps. On the three single family houses, data collection started in February 2020. For the apartment buildings data collection began in June 2021 and for the central mixing loop it began in march 2022.</p>
Net Solar Heating Resource Maps for US Climates: 2020 and 2000
<p>These files contain U.S. national map packages (ESRI ArcMap 10.5) for 2000 and 2020, including:</p> <ol> <li>Heating season length and intensity (monthly heating degree-days evaluated from a base temperature of 18.3 ºC);</li> <li>Residential heating energy needs (monthly kWh per household);</li> <li>Solar heating resources on 10m<sup>2</sup> surfaces of optimal tilt (monthly Wh);</li> <li>Optimal south-facing tilt values for solar heat collection (angular degrees above horizontal);</li> <li>Net solar heating resources on 10m<sup>2</sup> optimally-tilted collector surfaces (NSHR<sub>10</sub>) (monthly MWh per household and sums over 10km x 10km sectors);</li> <li>Proportions of the NSHR<sub>10</sub> provided by diffuse radiation (monthly percentage by location);</li> <li>Collector areas needed to intercept solar radiation equal to household heating needs (monthly m<sup>2</sup>);</li> <li>Median absolute deviations in the NSHR<sub>10</sub> obtained with twelve consecutive years of solar radiation data (annual MWh and percentage).</li> </ol> <p>Please see associated publication (Rempel et al. 2020) for source data and methodological details.</p> <p> </p>
ScienceDex guides
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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.