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45 results for “temperature rise”
Supplementary data: Impact of a global temperature rise of 1.5 degrees Celsius on Asia's glaciers
<p>Supplementary data to <a href="http://doi.org/10.1038/nature23878"><em>Kraaijenbrink, Bierkens, Lutz and Immerzeel, 2017. Impact of a global temperature rise of 1.5 degrees Celsius on Asia’s glaciers, Nature.</em></a> Model code can be found <a href="https://doi.org/10.5281/zenodo.2548689">here</a>.</p> <p>Please note that all data is provided in 7z-archives. To extract the data use the open source software <a href="http://www.7-zip.org/">7zip</a>.</p> <p> </p> <p><strong>Model input: </strong>Raster data</p> <p>The raster data that is required to run the model is available for the entire High Mountain Asia (<em>complete-hma.7z</em>) and for each <a href="https://www.glims.org/RGI/">RGI v5.0</a> sub-region (<<em>region-name>.7z</em>). The 7z-archives hold separate folders for each glacier, which are named by RGI glacier ID. The rasters for each glacier are in GeoTIFF format, have a 30 m resolution, are in local UTM projection (WGS84 datum), and are clipped to the RGI glacier extent.</p> <p>Rasters present for each glacier are:</p> <pre>classification.tif The debris classification made in google earth engine. debris-thickness-50cm.tif Debris thickness estimation based on Landsat 8 surface temperature. ice-thickness.tif Ice thickness determined using the Glabtop2 model ls8-composite-b456.tif Landsat 8 warmest-pixel optical composite (bands RED, NIR, SWIR1) ls8-composite-tsurf.tif Landsat 8 warmest-pixel surface temperature composite srtm-elevation.tif SRTM 1 arc second elevation data srtm-slope.tif Slope of the SRTM 1 arc second data</pre> <p> </p> <p><strong>Model input: </strong>RDS data</p> <p>The general model input data (<em>mbg-model-rds-data.7z)</em> is stored in R’s binary RDS format and <em><a href="https://www.r-project.org/">R</a></em> is required to open and read the data.</p> <p>Files present in the 7z-archive are:</p> <pre>dP_factors_2006-2100.rds Precipitation changes (delta factors) up to 2100 dT_degrees_2006-2100.rds Temperature changes (Kelvin) up to 2100 glacier-data.rds Glacier centroids with current climate and mass balance input ostrem_meancurve.rds The Östrem curve used by the model rgi-subregions.rds RGI sub-region polygons for Asia</pre> <p> </p> <p><strong>Output data</strong></p> <p>Region-aggregated output is available in ESRI Shapefile format for the RGI sub-regions, major river basins, and for a 1×1 degree grid (<em>output-shapefiles.7z</em>). The attribute tables of all shapefiles hold data on the occurrence of debris as well as current glacier area and volume, and volume projections for the end of century.</p> <p>The available shapefile attributes are:</p> <pre>count number of glaciers a_total total glacier area (m2) a_debris glacier area covered by debris (m2) a_ela glacier area below modelled ELA (m2) a_ela_deb glacier area below modelled ELA covered by debris (m2) v_total total glacier volume (m3) v_debris glacier volume covered by debris (m3) v_ela glacier volume below modelled ELA (m3) v_ela_deb glacier volume below modelled ELA covered by debris (m3) m_total_gt total glacier mass (gigaton) volST_EOC volume remaining in end of century under a stable current temperature vol15_EOC volume remaining in end of century under 1.5 degree scenario vol26_EOC volume remaining in end of century for the RCP2.6 model ensemble vol45_EOC volume remaining in end of century for the RCP4.5 model ensemble vol60_EOC volume remaining in end of century for the RCP6.0 model ensemble vol85_EOC volume remaining in end of century for the RCP8.5 model ensemble</pre>
To rise to temperature: Variation in temperature effects within and among populations
<p>Temperature drives physiological changes on three timescales: acute, acclimatory and evolutionary. Acutely, passive temperature effects often dictate an expected two-fold increase in metabolic processes for every 10°C increase (Q<sub>10</sub>). Yet for acclimatory or evolutionary time scales, selection often mitigates these acute effects. This selection also should concomitantly reduce interindividual variation. However, the individual variation in physiological trait thermal sensitivity is not well characterized. Here we quantified physiological responses to a 16°C temperature difference across nine thermally distinct <em>Fundulus heteroclitus </em>populations<em>.</em> Traits included whole animal metabolism (WAM), critical thermal maximum (CTmax), and substrate-specific cardiac metabolism measured in approximately 350 individuals. These traits exhibit high variation among both individuals and populations that depends on acclimation temperature. Thermal sensitivity or Q<sub>10</sub> variation is unexpected and ranges from 0.6 to 5.4 for WAM. Thus, with a 16°C temperature increase, some individuals have the same or lower metabolic rates while others have metabolic rates almost seven-fold higher (Q<sub>10</sub> = 5.4). Furthermore, a significant portion of this variation is related to habitat temperature, such that warmer populations have a significantly lower Q<sub>10</sub> for WAM and CTmax than colder populations. These data support a novel hypothesis: individual variation in thermal sensitivity reflects different physiological strategies to respond to environmental temperature variation and provides the potential for many different adaptive responses to temperature.</p>
Data and scripts for figures in Walton & Huntingford, "Little Evidence of Hysteresis in Regional Precipitation, When Indexed by Global Temperature Rise and Fall in an Overshoot Climate Simulation"
<p>The datasets included here are of the plotted data from the figures of the paper entitled "Little Evidence of Hysteresis in Regional Precipitation, When Indexed by Global Temperature Rise and Fall in an Overshoot Climate Simulation", submitted for publication to Environmental Research Letters. Scripts used for plotting and analysis are also included.</p>
Dataset of the temperature rise during granular flows in a rotating drum
<p>This dataset contains the temperature rise of granular flows reported in the journal article "<em>Experimental investigation of heat generation during granular flow in a rotating drum using infrared thermography</em>" (<a href="https://doi.org/10.1016/j.powtec.2023.118619">https://doi.org/10.1016/j.powtec.2023.118619</a>).</p> <p>The dataset is separated into 4 files, one for each particle material: <em>plastic_particles.xlsx</em>, <em>plastic_particles.xlsx</em>, <em>plastic_particles.xlsx</em>, <em>plastic_particles.xlsx</em>.</p> <p>Each file has 3 tabs, one for the experiments with each number of particles: 400, 600, 800.</p> <p>Each tab has 3 tables, one for the experiments with each rotation speed: 15 rpm, 35 rpm, 55 rpm.</p> <p>Each table contains the temperature rise obtained in 5 experiments, along with its mean and standard deviation.</p>
Data sets for temperature rise due to frictional heat generation during a sliding contact between an elastic particle and a rigid substrate
<p>This dataset contains essential data from the Finite Element Method model predicting heat generation due to friction during the sliding contact between an elastic particle and a rigid substrate. Part of this data was processed and presented in an article under review for journal publication. The following is the description of the data files and the associated Figure in the original paper.</p> <p>'Temp_CoeffFric_01_055.xlsx' data for temperature evolution for the nodes in the contacts and along the particle radius for various friction coefficient values (0.1-0.55).</p> <p>'Temp_Load_001_01.xlsx' data for temperature evolution for the nodes in the contacts and along the particle radius for various normal load values (0.01-0.1 N).</p> <p>'Temp_Vel_02_1.xlsx' data for temperature evolution for the nodes in the contacts and along the particle radius for various sliding velocity values (0.2-1 m/s).</p> <p>'Temp_TC_5_100.xlsx' data for temperature evolution for the nodes in the contacts and along the particle radius for various thermal conductivity values. (i.e. 5-100 W/m K).</p> <p>'Temp_HC_100_1600.xlsx' data for temperature evolution for the nodes in the contacts and along the particle radius for various thermal conductivity values. (i.e. 100-1600 J/kg K).</p> <p> </p>
Rising surface temperatures lead to more frequent and longer burrow retreats in males of the fiddler crab, Minuca pugnax
<p><span>The fiddler crab <em>Minuca</em> <em>pugnax</em> occupies thermally unstable mudflat habitats along the eastern United States coastline, where it uses behavioral thermoregulation, including burrow retreats, to manage body temperature (T<sub>b</sub>). We explored the relationship between frequency of burrow use and environmental conditions, including burrow and surface temperatures, relative tidal height, and time of day, by twenty male <em>M. pugnax</em> in breeding areas around Flax Pond, New York, USA. We found a highly significant positive correlation between burrow use and surface temperature, with a clear shift to longer times underground above 32°C degrees. We also experimentally heated live crabs in the laboratory and allowed them to retreat into cooled artificial burrows while continuously measuring body temperatures (T<sub>b</sub>). Laboratory data on cooling times were compared to field observations of burrow retreat durations. The median burrow stay in the field of 2.74 min was enough time for our laboratory crabs to capture over 70% of the cooling potential of artificial burrows 10 or 15 degrees below T<sub>b</sub>. Because crab bodies in burrows experience exponential declines in T<sub>b</sub> due to Newton's law of cooling, there are diminishing returns to remaining in a burrow, and many crabs probably leave before coming to equilibrium. For <em>M. pugnax</em>, burrow retreats reduce time spent feeding and courting, activities that only occur on the surface. Current concerns about the impacts of climate change on animals include whether compensatory mechanisms, like more frequent and longer burrow retreats, will come at the cost of other behaviors necessary for survival and reproduction.</span></p>
Data for: The rise of New Guinea and the fall of Neogene global temperatures
<p class="MsoPlainText">This dataset contains the output files of numerical simulations of the model GEOCLIM-DynSoil-steady-state, which were conducted for the study "The rise of New Guinea and the fall of Neogene global temperatures". Those outputs are modelled fields of erosion rate, silicate weathering flux, regolith thickness and primary phase depletion, on the island of New Guinea, at 30-minute resolution, and for 19 time slices from 15 Ma to present-day. This dataset also contains additional Python scripts for generating inputs of the model (namely, slope field) and for projecting the 2D New Guinea erosion field on the 1D transect highlighted in the abovementioned study.</p>
Rising surface temperatures lead to more frequent and longer burrow retreats in males of the fiddler crab, Minuca pugnax
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Individual plasticity in response to rising sea temperatures contributes to an advancement in green turtle nesting phenology
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Data for: The rise of New Guinea and the fall of Neogene global temperatures
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To rise to temperature: Variation in temperature effects within and among populations
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Data from: Decadal changes in masting behaviour of oak trees with rising temperature
<p>1. Decadal changes in masting behaviour—directional changes in seed production with fluctuations on a decadal time scale—are attracting widespread attention in the context of global climate change. However, our mechanistic understanding of the effects of climate on seed production on a decadal scale is unsatisfactory, partly because of insufficient statistical analyses of long-term data on masting.</p> <p>2. We detected decadal changes in masting behaviour in the Japanese oak (<em>Quercus crispula</em>) based on long-term data (38 years: 1980–2017) from the Kitakami Mountains of Japan. The moving average of seed production in a 20-year sliding window increased, whereas the coefficient of variation decreased. A wavelet power spectrum, as well as a second-order log-linear autoregressive (AR) model, showed that masting intervals shortened from 3 or 4 years to a 2-year cycle.</p> <p>3. The moving average of seed production increased linearly as the moving average of temperature increased. Temporal variations of the two AR model coefficients as a function of temperature were well described by concave curves.</p> <p>4. Synthesis. By conducting statistical analyses of a long-term seed-production dataset, we obtained significant evidence of decadal changes in the masting behaviour of the Japanese oak and showed that shortening of the masting interval was associated with rising temperature. A resource allocation shift and an environmental veto were discussed as possible mechanisms underlying the decadal change.</p>
Modeled and observed river water temperature and discharge in the paper "Riverine heat waves on the rise, outpacing air heat waves"
<div>The observed and modeled data – mean daily water temperature (WT, °C) and mean daily discharge (Q,<em> </em>ft<sup>3</sup>/s) modeled by an LSTM model (averaged over 5 model runs) – for 1471 sites over 1980-2022 can be found here. Out of these 1471 sites, 1276 sites had good model performance and were used to identify and analyse air and riverine heat waves (RHW) in the paper "Riverine heat waves on the rise, outpacing air heat waves". </div> <div> <div> </div> </div>
Late to bed, late to rise—Warmer autumn temperatures delay spring phenology by delaying dormancy
<p>Spring phenology of temperate forest trees has advanced substantially over the last decades due to climate warming, but this advancement is slowing down despite continuous temperature rise. The decline in spring advancement is often attributed to winter warming, which could reduce chilling and thus delay dormancy release. However, mechanistic evidence of a phenological response to warmer winter temperatures is missing. We aimed to understand the contrasting effects of warming on plants leaf phenology and to disentangle temperature effects during different seasons.</p> <p>With a series of monthly experimental warming by ca. 2.4 °C from late summer until spring, we quantified phenological responses of forest tree to warming for each month separately, using seedlings of four common European tree species. To reveal the underlying mechanism, we tracked the development of dormancy depth under ambient conditions as well as directly after each experimental warming. In addition, we quantified the temperature response of leaf senescence.</p> <p>As expected, warmer spring temperatures led to earlier leaf-out. The advancing effect of warming started already in January and increased towards the time of flushing, reaching 2.5 days/°C. Most interestingly, however, warming in October had the opposite effect and delayed spring phenology by 2.4 days/°C on average; despite six months between the warming and the flushing. The switch between the delaying and advancing effect occurred already in December. We conclude that not warmer winters but rather the shortening of winter, i.e. warming in autumn, is a major reason for the decline in spring phenology.</p>
Supporting data and code for: Individual plasticity in response to rising sea temperatures contributes to an advancement in green turtle nesting phenology.
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Data for "Clouds increasingly influence Arctic sea surface temperatures as CO2 rises" part 1
<p>Data for "Clouds increasingly influence Arctic sea surface temperatures as CO2 rises" submitted to Geophysical Research Letters.</p> <p>Data are included from three fully-coupled CESM2 simulations with variable CO2 concentrations: pre-industrial climate ('control'), 424 ppm CO2 ('yr40'), and 1139 ppm CO2 ('yr140'). Data in all files are restricted to 40-90<sup>o</sup>N. Variables include surface temperature (TS), sea ice concentration (ICEFRAC), CALIPSO total cloud fraction (CLDTOT_CAL), total grid cell cloud liquid water path (TGCLDLWP), sea surface temperature (SST), surface downwelling shortwave radiation (FSDS), surface downwelling longwave radiation (FLDS), surface net shortwave radiation (FSNS), clear-sky surface net shortwave radiation (FSNSC), and clear-sky surface downwelling longwave radiation (FLDSC).</p>
Data from: Rising temperatures may increase fungal epizootics in northern populations of the invasive spongy moth in North America
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Data from: Cannibalism by damselflies increases with rising temperature
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Evidence of local adaptation in a freshwater diatom indicates higher sensitivity to nutrient limitation as water temperature rises
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Late to bed, late to rise—Warmer autumn temperatures delay spring phenology by delaying dormancy
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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.