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2,837 results for “Climate Data”
Source data of the lithologic indicators of climate for NC
<p>Source data are the ~290 Ma (Figure 4a) and ~280 Ma (Figure 4b) lithologic indicators of climate from Boucot et al. (2013).</p>
Data for "Improved simulation of Madden–Julian Oscillation with the modified moist physical parameterizations for a global climate model"
<p>Model output data for the manuscript "Improved simulation of Madden–Julian Oscillation with the modified moist physical parameterizations for a global climate model", including convective precipitation (PRECC), large-scale precipitation (PRECL), mean SST and U850, <span>column-integrated MSE tendency anomalies, and boundary layer moisture convergence. </span></p>
A 2-million-year record of Amazon climate - CDH-79 X-RF Data (Ti, Ca, Fe, K)
<p>X-ray fluorescence ( Ti, Ca, Fe and K) spanning the last 2 million years (myr) from a piston core (CDH-79) collected offshore of the mouth of the Amazon River and Statistical analisys.</p>
Code and data for the paper "Dominating inflation of the Arctic Ocean's Beaufort Gyre in a warming climate"
<p>Code and data used to generate the figures for the paper "Dominating inflation of the Arctic Ocean's Beaufort Gyre in a warming climate".</p>
Netzero2040: Reaching climate neutrality in Austria by 2040: engaging stakeholders for model-supported scenario development. Data repository
<p><span>This repository contains scenario results in pyam format, qualitative scenario narratives and drivers identified by stakeholders for the NetZero2040 project.</span></p> <p><span>NetZero2040 developed the first independent scenarios achieving climate-neutrality in Austria by 2040. We improve on previous analyses by employing a structured co-creation process involving stakeholders and modellers, simultaneously modelling the whole energy system and the electricity system in great detail, creating shared visions of a climate-neutral future. Results are openly available and have been broadly disseminated in the scientific community and to the public. Our scenarios are differentiated by assumptions on energy demand and imports of energy carriers. They show that a rapid electrification of transport and heating, in combination with a build out rate of renewable energies which is well above historical maxima in the Austrian power system, allow significant emission reductions until 2030, and that these measures are consistently required in all scenarios. However, after 2030 scenarios diverge and uncertainty about the most cost-efficient transformation measures prevail. </span></p>
Supporting Data for "Innovative reforestation mosaics on marginal land in the globally important Mata Atlântica biome can create climate and economic co-benefits"
<p>This data is related to the article "Innovative reforestation mosaics on marginal land in the globally important Mata Atlântica biome can create climate and economic co-benefits."</p>
Data for "Stable climate simulations using a realistic GCM with neural network parameterizations for atmospheric moist physics and radiation processes"
<p>This is sampling data of "Stable climate simulations using a realistic GCM with neural network parameterizations for atmospheric moist physics and radiation processes".</p> <p>'qv_nn_in' for the large scale specific humidity, [kg/kg]<br> 'T_nn_in' for the large scale temperature, [K]<br> 'dqvls_nn_in' for the large scale moisture advection, [kg/kg/s]<br> 'dTls_nn_in' for the large scale moisture advection, [K/s]<br> 'qtend_check' for the moistening rate by CRM, [kg/kg/s]<br> 'stend_check' for the heating rate by CRM, [K/s]<br> 'SOLS' for direct shorwave solar radiation down to surface, [W/m2]<br> 'SOLSD' for diffusive shortwave solar radiation down to surface, [W/m2]<br> 'SOLL' for direct near infrared solar radiation down to surface, [W/m2]<br> 'SOLLD' for diffusive near infrared solar radiation down to surface, [W/m2]<br> 'SOLIN' for insolation at model top, [W/m2]<br> 'FSNS' for net shortwave radiation at model surface, [W/m2]<br> 'FSNT' for net shortwave radiation at model top, [W/m2]<br> 'FLNS' for net longwave radiation at model surface, [W/m2]<br> 'FLNT' for net longwave radiation at model top, [W/m2]<br> 'SPPS' for surface pressure, [Pa]</p> <p>To download the full dataset of the SPCAM simulation in 1998. Please click the dropbox link: https://www.dropbox.com/s/p841v1tw00rokdy/SPCAM_VAR_1998.tar.gz?dl=0</p>
Data from: Northwest range shifts and shorter wintering period of an Arctic seabird in response to four decades of changing ocean climate
<p>Climate change is altering the marine environment at a global scale, with some of the most dramatic changes occurring in Arctic regions. These changes may affect the distribution and migration patterns of marine species throughout the annual cycle. Species distribution models have provided detailed understanding of the responses of terrestrial species to climate changes, often based on observational data; biologging offers the opportunity to extend those models to migratory marine species that occur in marine environments where direct observation is difficult. We used species distribution modelling and tracking data to model past changes in the non-breeding distribution of thick-billed murres <em>Uria lomvia</em> from a colony in Hudson Bay, Canada, between 1982 and 2019. The predicted distribution of murres shifted during fall and winter.</p> <p>The largest shifts have occurred for fall migration, with range shits of 211 km west and 50 km north per decade, compared with a 29 km shift west per decade in winter. Regions of range expansions had larger declines in sea ice cover, smaller increases in sea surface temperature, and larger increases in air temperature than regions where the range was stable or declining. Murres migrate in and out of Hudson Bay as ice forms each fall and melts each spring. Habitat in Hudson Bay has become available later into the fall and earlier in the spring, such that habitat in Hudson Bay was available for 21 d longer in 2019 than in 1982. Clearly, marine climate is altering the distribution and annual cycle of migratory marine species that occur in areas with seasonal ice cover.</p>
Supporting data for climate-driven tree mortality and fuel aridity increase wildfire's potential sensible heat flux
<p><span>Wildfire is capable of rapidly releasing the energy stored in forests, with the amount of water in live and dead biomass acting as a regulator on the amount and rate of energy release. Here we used temperature and fuel moisture data to examine climate-driven changes in fuel moisture content over the past three decades. We then calculated the changes in energy release (energy release component and fire radiant energy) for two forests that experienced drought and bark beetle mortality and were subsequently burned by wildfires. We found that mortality transitioned substantial amounts of biomass from live to dead pools. Coupled with climate-driven decreases in fuel moisture content, this change in fuel availability increased the amount of energy that could be released during wildfire in these forests. Our results demonstrate that climate-driven tree mortality and fuel aridity may be increasing the amount of energy that is released during wildfire.</span></p>
Characterization of Site-Specific Vegetation Activity in Alaskan Wet and Dry Tundra as Related to Climate and Soil State DATA
<p>We present discrete (2-hour resolution) multi-year (2008 – 2017) <em>in situ </em>measurements of seasonal vegetation growth and soil biophysical properties from two sites on Alaska’s North Slope, USA, representing dry and wet sedge tundra. We examine measurements of vertical active soil layer temperature and soil moisture profiles (freeze/thaw status), woody shrub vegetation physiological activity, and meteorological site data to assess interrelationships within (and between) these two study sites.</p> <p>Vegetation phenophases (cold de-hardening start, physiological function start, stem growth start, stem growth end, physiological function end, cold hardening completion) were found to have greater inter-annual Day-Of-Year (DOY) occurrence variability at the dry site compared to the wet site. At the dry site, vegetation activity begins on average ~ 7 days earlier and ends ~ 11 days earlier. The mean active stem growth window lasts ~ 54 days for the dry site and ~51 days for the wet site. Vegetation, in both tundra environments, began cold de-hardening functions (warm season prep) prior to atmospheric temperatures warming above 0°C. Similar results were found related to the critical soil freeze/thaw/transition dates; the dry site had a DOY phenophase occurrence range that was 8 days larger than that of the wet site. A longer continuous summer thaw period was captured at the wet site by ~ 26 days throughout the active layer. In addition, the dry site was measured to have longer spring and fall soil isothermal conditions than the wet site by ~ 9 and 5 days throughout the active layer. These results show that the dry site’s willow shrub vegetation physiology and soil condition phenology is more variable than the wet site.</p> <p>Alongside the <em>in situ</em> data, a remote sensing product from NASA’s MEaSUREs program was utilized; our research indicates that the AMSR derived satellite product is more precise over the wet tundra site with critical date alignment between remote sensing observations and <em>in situ</em> measurements ranging from ~ 4 to 11 days. Furthermore, the AMSR product was shown to preemptively estimate land surface condition change during the spring transition for both tundra types while lagging during the fall transition and freeze-up periods.</p>
Data and supporting information from: Higher metabolic plasticity in temperate compared to tropical lizards suggests increased resilience to climate change
<p>We investigate thermal acclimation of three species of <i>Takydromus</i> lizards distributed along a broad latitudinal gradient in China. The dataset are including metabolic rates, organ size, mitochondrial respiration, Cox activities, proteomic and metabolomic regulations of three <em>Takydromus </em>lizards after warm and cold acclimation in the laboratory. See details in related paper.</p>
Data from: Distinct body-size responses to warming climate in three rodent species
<p><span>In mammals, body-size responses to warming climates are diverse, and the mechanisms underlying these</span><span> different</span><span>responses have been little investigated. Using temporal and spatial datasets of three rodent species distributed across different climatic zones in China, we investigated temporal and spatial trends of body size (length and mass), identified the critical drivers of these trends, and inferred the potential causes underlying the distinct body-size responses to the critical drivers. We found that body mass of all species remained stable over time and across space. Body length, however, increased in one species over time and in two species across space. Generally, body-length variation was predicted best by minimum ambient temperature. Moreover, in two species, body length changed linearly with temperature differences between ancestral and colonisation areas. These distinct temperature</span><span>–</span><span>length patterns may jointly be caused by species-specific temperature sensitivities and experienced magnitudes of warming. We hypothesise that species or populations distributed across distinct temperature gradients evolved different intrinsic temperature sensitivities, which affect how their body sizes respond to warming climates. Our results suggest that size trends associated with climate change should be explored at higher temporal and spatial resolutions and include clades of species with similar distributions.</span></p>
Data from: Geographical variation in ant foraging activity and resource use is driven by climate and net primary productivity
<p><b>Aim: </b>Foraging activity is critical for animal survival. Comprehending how ecological drivers influence foraging behavior would benefit our understanding of the link between animals and ecological processes. Here, we evaluated the influence of ecological drivers on ant foraging activity and relative resource use.</p> <p><b>Location: </b>Six Brazilian biomes: Amazon, Atlantic rainforest, Caatinga, Cerrado, Pampa and Pantanal.</p> <p><b>Taxon: </b>Formicidae.</p> <p><b>Methods: </b>We assessed ant foraging activity and resource use by sampling across 60 sites. We placed baited tubes that contained one of five liquid resources (sugar, lipids, amino acid, sodium and distilled water). We used model selection to assess the influence of ecological drivers (temperature, precipitation, temperature seasonality and net primary productivity) on ant foraging activity and relative resource use.</p> <p><b>Results: </b>Foraging activity was higher in wetter, more productive and less thermally seasonal environments. The relative use of amino acids increased at higher temperatures while the relative use of lipids decreased. The relative use of sugar increased in drier and less productive environments with high temperature seasonality while the relative use of amino acid and sodium decreased in those environments. The relative use of lipids was complex: increasing with increasing temperature seasonality and decreasing with increasing precipitation. Further, the relative use of sodium was greater where the foraging activity was high.</p> <p><b>Main Conclusions: </b>We demonstrate how ecological drivers are correlated to ant foraging activity and resource use in the field across large spatial scales. The search for resources encompasses different interactions involving ants with abiotic and biotic components in the ecosystem. Thus, we suggest that changes in climate and NPP, which influence the intensity and the way that ants search for resources, will result in changes in ant-mediated ecological processes.</p>
Data from Wilson et al.: Applying computer vision to digitised natural history collections for climate change research: temperature-size responses in British butterflies
<p>This dataset supports the publication: Wilson et al. "Applying computer vision to digitised natural history collections for climate change research: temperature-size responses in British butterflies". These are the data used for the data figures (Fig 3-6, SI Figs 1-2) and the supplementary information tables.</p>
Model code, data, and plot scripts for the paper "Impacts of Ice-Particle Size Distribution Shape Parameter on Climate Simulations with the Community Atmosphere Model Version 6 (CAM6)".
<p>The model codes, data, and plot scripts used in the paper, "Impacts of Ice-Particle Size Distribution Shape Parameter on Climate Simulations with the Community Atmosphere Model Version 6 (CAM6)".</p> <ul> <li>7_experiments.zip contains modified model code and output data of each experiment in this study.</li> <li>off-line test.zip contains off-line test code and output data.</li> <li>plot_scripts.zip are the NCL scripts used for figures in the paper.</li> </ul>
Data: Central European forest-steppe: an ecosystem shaped by climate, topography and disturbances
<p>Supplementary material of Chytrý et al. (2022): Central European forest-steppe: an ecosystem shaped by climate, topography and disturbances. Journal of Biogeography.</p> <p><strong>Appendix S1. Location of the study sites.</strong></p> <p><strong>Appendix S2. Characteristics of the study sites.</strong></p> <p>To explore the interactive effect of macroclimate and topography on the forest-steppe distribution, we selected 108 Central European forest-steppe sites formed on various substrates and under various macroclimates. The key criterium for selection was the presence of relatively well-preserved (near-)natural steppe patches with relict steppe species. Most of the sites were selected based on the empirical knowledge of authors, and some were selected based on geobotanical literature (sources indicated in Appendix S2). Sites obtained from the literature and with no coordinates in the original source were georeferenced with the help of aerial photographs (maps.google.cz) and outdoor maps (mapy.cz; openstreetmap.org). We mostly set the coordinates to the best-developed steppe patch at each site. Some lowland sites with particularly low topographic heterogeneity (especially flatland loess steppes in south-eastern Hungary) were georeferenced with lower precision because the steppe patches were not easily identifiable from aerial photographs.</p> <p> </p>
Data for "An Ensemble-Based Statistical Methodology to Detect Differences in Weather and Climate Model Executables" Part 1/2
<p>Ensemble simulations from the weather and climate model COSMO. The data has been used for model verification cases in the corresponding paper (https://doi.org/10.5194/gmd-2021-248).</p> <p>The data is partitioned into the following parts:</p> <ol> <li>gpu_dycore.tar.gz<br> 5-day ensemble (600 members) produced with COSMO 5.09 GPU version in double precision.</li> <li>cpu_nodycore.tar.gz<br> 5-day ensemble (200 members) produced with COSMO 5.09 CPU version in double precision.</li> <li>gpu_dycore_sp.tar.gz<br> 5-day ensemble (200 members) produced with COSMO 5.09 GPU version in single precision.</li> </ol> <p>The second part of the dataset with the diffusion ensembles can be found here: https://doi.org/10.5281/zenodo.6355647</p>
Data-driven versus Köppen–Geiger systems of climate classification
<p>Results of data-driven climate zone classification study</p>
Data for: Abundance and accessibility of forage for reindeer in forests of Northern Sweden: impacts of landscape and winter climate regime
<p>The survival of reindeer during winter, their period of greatest food stress, is largely dependent upon the abundance and accessibility of food in their pastures. In Northern Sweden this realised availability of forage is notably affected by snow conditions and the impacts of forestry on understorey in these pastures. Whilst these factors have been examined to some extent in isolation, their combined effect on overall forage availability has, to the best of our knowledge to date, not been studied.</p> <p>In this study, vegetation surveys and analysis of snow conditions were undertaken in 16 forest stands at various stages of recovery from clear-cutting. The variation in abundance and growth of understorey species edible by reindeer, such as lichen, were noted as forest age increased. The barrier effect of ice lenses in snow during winter was also noted. Lichen biomass was significantly affected by a combination of stand age, understorey vegetation height, and lichen height. Soil disturbance from the processes of felling, and competition in the vegetation communities recovering from this disturbance were identified as key drivers of change in lichen biomass. Overall, clear-cut forests had some of the greatest prevalence of ice lenses in the snow column, and forage availability at these sites was up to 61 % less than in stands over 58 years in age.</p>
Model code, data, and plot scripts for the paper "Impacts of Ice-Particle Size Distribution Shape Parameter on Climate Simulations with the Community Atmosphere Model Version 6 (CAM6)".
<p>The model codes, data, and plot scripts used in the paper, "Impacts of Ice-Particle Size Distribution Shape Parameter on Climate Simulations with the Community Atmosphere Model Version 6 (CAM6)".</p> <ul> <li>Figs&Table are the NCL scripts used for figures and table in the paper.</li> <li>Model_Results contains output data of each experiment in this study.</li> <li>Mods_Scripts contains modified model code.</li> <li>Offline_Code contains off-line test code.</li> </ul>
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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.