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2,837 results for “Climate Data”
Data from: Behavior and nutritional condition buffer a large-bodied endotherm against direct and indirect effects of climate
Temporal changes in net energy balance of animals strongly influence fitness; consequently, natural selection should favor behaviors that increase net energy balance by buffering individuals against negative effects of environmental variation. The relative importance of behavioral responses to climate-induced variation in costs versus supplies of energy, however, is uncertain, as is the degree to which such responses are mediated by current stores of energy. We evaluated relationships among behavior, nutritional condition (i.e., energetic state), and spatiotemporal variation in costs versus supplies of energy available to a large-bodied endotherm, the North American elk (Cervus elaphus), occupying two ecosystems with contrasting climates; 1) a temperate, montane forest; and 2) an arid, high-elevation desert. We hypothesized that during spring through autumn, behavioral responses to the energetic landscape would be both context-dependent (i.e., would vary as a function of the environmental conditions experienced by elk in the forest versus the desert), and state-dependent (i.e., would vary as a function of the energetic state of an individual). We tested several predictions derived from that hypothesis by combining output from a biophysical model of the thermal environment with data on forage quality, animal locations, and nutritional condition of individuals. At the population level, elk in the desert selected areas that reduced costs of thermoregulation over those that provided the highest quality forage. In the forest, however, costs imposed by the thermal environment were less pronounced, and elk selected areas that increased access to high quality forage over those that reduced costs of thermoregulation. At the individual level, nutritional condition did not influence strength of selection for low-cost areas or high quality forage among elk in the forest. In the desert, however, strength of selection for low-cost areas (but not forage quality) was state-dependent - individuals in the poorest condition at the end of winter showed the strongest selection for areas that reduced costs of thermoregulation during spring and summer, and also expended the least amount of energy on locomotion. Our results highlight the importance of understanding the roles of behavior and nutritional condition in buffering endotherms against direct and indirect effects of climate on fitness.
Data from: Potential of typical highland and mountain forests in the Czech Republic for climate-smart forestry: ecosystem-scale drought responses
<p>Climate-smart forestry (CSF) consists of an extensive framework of actions directed to mitigating and adapting to global climate change impacts on the resilience and productivity of forest ecosystems. The study connected to this data set investigates the impact of the pan-European 2018 drought on carbon exchange dynamics in typical highland and mountain forests in the Czech Republic, including two coniferous (Norway spruce at Bílý Kříž and Rajec) and one deciduous (European beech at Štítná) stand. Our results show annual net ecosystem CO<sub>2</sub> uptake at Rajec to be reduced by 50% during the drought year in comparison to a reference year with normal climatic conditions. Bílý Kříž is less affected by drought, as the local microclimate ensures sufficient water supply. The European beech forest at Štítná is most resilient against drought and its negative impacts: there we detect no differences in carbon exchange dynamics between the drought year and the reference year. Our results are demonstrated on the basis of monthly and annual carbon exchange values and corresponding environmental variables. This data set consists of two files, one containing daily average (sum) data, the second one containing 30 minute average data. The 30 minute average data were the basis of all daily, monthly and annual average (sum) data shown in the study connected to this data set.</p>
Environmental data from: Potential distributions of invasive vertebrates in the Iberian Peninsula under projected changes in climate extreme events
<p>This dataset includes climatic variables representing extreme events indices defined by the World Meteorological Organization (<a href="https://public.wmo.int/en">https://public.wmo.int/en</a>). The variables were calculated based on five Regional Climate Models or RCMs (UAHE-REM, UCAN-WRA, UCAN-WRB, UCLM-PRO and UMUR-MM5) for the periods 1971-2000 ('current climate') and 2021-2050 ('future climate') under the SRES A1B Emissions Scenario. We used RCMs instead of global climate models (GCMs) because the latter have an overly coarse resolution compared to the spatial resolution of our species distribution data. Since RCMs downscale climate fields from GCMs, they provide information at fine (meso or micro) scales that are more accurate for studies of regional phenomena and for application to climate impact assessments. Climatic variables were calculated in collaboration with the Numerical Modelling Group for the Environment and Climate (MOMAC, <a href="https://www.uclm.es/grupos/momac">https://www.uclm.es/grupos/momac</a>) of the University of Castilla-La Mancha (UCLM).</p>
Reproduction data and code for "The social cost of carbon dioxide under climate-economy feedbacks and temperature variability"
<p>### Data for Kikstra et al. 2021, ERL, The social cost of carbon dioxide under climate-economy feedbacks and temperature variability</p> <p>This repository contains data and scripts for the main text figures in the article Kikstra, J.S., Waidelich, P., Rising J., Yumashev, D., Hope, C., Brierley, C.M. (2021) The social cost of carbon dioxide under climate-economy feedbacks and temperature variability, Environmental Research Letters. DOI <a href="https://doi.org/10.1088/1748-9326/ac1d0b">https://doi.org/10.1088/1748-9326/ac1d0b</a></p> <p>##### Authors<br> - Jarmo S. Kikstra<br> - Paul Waidelich<br> - James Rising<br> - Dmitry Yumashev<br> - Chris Hope<br> - Chris M. Brierly</p> <p>Correspondence: kikstra@iiasa.ac.at</p> <p>##### Data repository structure<br> - data # hosts all data that is used to produce the main text figures<br> - growth-effects # hosts model data for results from model runs with persistent damages, for figure 3 and figure 4<br> - PAGE-ANN-Growth_ModelResults_PersistenceDistribution # annual PAGE version, empirical persistence distribution<br> - PAGE-arVAR-Growth_ModelResults_PersistenceDistribution # annual PAGE version with temperature variability, empirical persistence distribution<br> - PAGE-Growth_ModelResults_FixedPersistence # main version, with 10 time steps, fixed persistence levels<br> - PAGE-Growth_ModelResults_LowPassFilterPersistenceDistribution # main version, with 10 time steps, low pass filter persistence distribution<br> - PAGE-Growth_ModelResults_PersistenceDistribution # main version, with 10 time steps, empirical persistence distribution<br> - page-ice # model data for results from PAGE-ICE base model runs<br> - scco2-montecarlo # for figure 6 data<br> - update-page # for figure 2 data<br> - variability # for figure 5 data<br> - extended data # hosts other data used in the manuscript or which we simply want to publish alongside. Example for naming convention for each variable in […] behind the files.<br> - economic-impact # model output variables “EquityWeighting_ te_totaleffect{_ann_yr}.csv” [PAGE-ICE_SSP1-1.9_discountedimpacts.csv]<br> - montecarlo-draws # model output variable “trialdata.csv” [PAGE-ICE_SSP1-1.9_trialdata.csv]<br> - sensitivity # hosts selected sensitivity analysis data used in the appendix<br> - temperature # model output variable “ClimateTemperature_rt_g_globaltemperature.csv” [PAGE-ICE_SSP1-1.9_globaltemperature.csv]<br> - scripts # has one script for each main text figure,<br> - figures # hosts main text figures as they come out of the scripts<br> - README.md # explanation for the repository</p>
Data from: Phylogenetic niche conservatism and variations in species diversity-climate relationships
<p><span><span><span>Although contemporary climate has been identified as one of the major determinants of large-scale species diversity patterns, its effect on species diversity greatly varies among clades. Understanding the drivers of the variation in species diversity-climate relationships (DCRs) across clades, which is critical for developing general mechanisms underlying the effects of climate on species diversity patterns, remains a current challenge. Using newly compiled distribution data of 914 Rosaceae species in China and a dated genus-level phylogeny, we first assessed the DCRs for the entire family, the two major growth forms (woody vs. herbaceous), and each genus separately, and then explored the drivers underlying the variation in DCRs across different clades. We found that the DCRs significantly differed between woody and herbaceous plants and among different genera in this family. Closely-related<i> </i>genera had more similar species diversity patterns and DCRs than expected. Both the ancestral climate niches of different genera and the discrepancy between contemporary and ancestral climate niches explained the variations in DCR slopes across genera with high explanatory power, indicating the effect of niche conservatism on DCRs. Our study suggests that niche conservatism is a major driver of DCR variations between clades, which enhances our understanding of the mechanisms underlying large-scale species diversity patterns.</span></span></span></p>
Data from: Heritable variation and lack of tradeoffs suggest adaptive capacity in Acropora cervicornis despite negative synergism under climate change scenarios
<p>Knowledge of multi-stressor interactions and the potential for trade-offs among tolerance traits is essential for developing intervention strategies for the conservation and restoration of reef ecosystems in a changing climate. Thermal extremes and acidification are two major co-occurring stresses predicted to limit the recovery of vital Caribbean reef-building corals. Here we conducted an aquaria-based experiment to quantify the effects of increased water temperatures and pCO2 individually and in concert on 12 genotypes of the endangered branching coral, Acropora cervicornis, currently being reared and outplanted for large-scale coral restoration. Quantification of 11 host, symbiont, and holobiont traits throughout the 2-month long experiment showed several synergistic negative effects, where the combined stress treatment often caused greater reduction in physiological function than the individual stressors alone. However, we found significant genetic variation for most traits and positive trait correlations among treatments indicating an apparent lack of tradeoffs, suggesting that adaptive evolution will not be constrained. Our results suggest that it may be possible to incorporate climate-resistant coral genotypes into restoration and selective breeding programs, potentially accelerating adaptation. </p>
Projected shifts in deadwood bryophytes in Sweden, data used for species distribution modelling and for climate and forest scenario analysis
<p>Climate change and habitat loss are main threats to forest biodiversity. We fitted ensembles of single species distribution models for 23 deadwood-living bryophyte species in Sweden, based on species records from the Swedish Lifewatch website. This data set comprises the species and environmental data used for species distribution modelling, and coefficients of the fitted single species distribution models (GLM, Poisson point-process, MaxEnt).</p> <p>Based on the fitted species distribution models, we conducted simulations of future species distributions given realistic climate and forest projection scenarios at the national scale of Sweden. The data used for the scenario analysis are stored here.</p>
Data from: Bioregions are predominantly climatic for fishes of northern lakes
<p><b>Aim:</b> Recurrent species assemblages integrate important biotic interactions and joint responses to environmental and spatial filters that enable local coexistence. Here, we applied a bipartite (site-species) network approach to develop a natural typology of lakes sharing distinct fish faunas and provide a detailed, hierarchical view of their bioregions. We then compared the roles of key biogeographic factors to evaluate alternative hypotheses about how fish communities are assembled from the regional species pool.</p> <p><b>Location:</b> Ontario, Canada and the Upper Midwest, USA.</p> <p><b>Time period:</b> 1957–2017.</p> <p><b>Major taxa studied:</b> Freshwater fishes.</p> <p><b>Methods:</b> Bipartite modularity analysis was performed on 90 taxa from 10,016 inland lakes in the Southwestern Hudson Bay, Mississippi River, and St. Lawrence River drainages, uncovering bioregionalization of North American fishes at a large, subcontinental scale. We then used a latent variable approach, pairing non-metric partial least-squares structural equation modelling with multiple logistic regression, to show differences in the biogeographic templates of each community type. Indicators of contemporary and historical connectivity, climate, and habitat constructs were estimated using a geographic information system.</p> <p><b>Results:</b> Fish assemblages reflected broad, overlapping patterns of postglacial colonization, climate, and geological setting, but community differentiation was most linked to temperature, precipitation, and, for certain groups, lake area and water quality. Bioregions were also marked by non-native species, showing broad-scale impacts of introductions to the Great Lakes and surrounding basins.</p> <p><b>Main conclusions:</b> The dominant effects of climate across broad spatial gradients indicate differing sensitivities of fish communities to rapidly accelerating climate change and opportunities for targeted conservation strategies. By assessing biological variation at the level of recurrent assemblages, we accounted for the non-stationarity of macroecological processes structuring different sets of species on the landscape, and thus offer novel inference on the assembly of inland fish communities.</p>
Data supplement to 'Astrochronology for the Miocene Climatic Optimum at Ocean Drilling Program Site 959 in the eastern Equatorial Atlantic'
<p>Data supplement to "Astrochronology for the Miocene Climatic Optimum at Ocean Drilling Program Site 959 in the eastern Equatorial Atlantic". </p> <p><strong>Table </strong><strong>T1</strong>: Depth conversion to rmbsf.</p> <p><strong>Table T2</strong>: List of all Early to Middle Miocene calcareous nannofossil and diatom bioevents at ODP Site 959.</p> <p><strong>Table T3</strong>: Diagnostic diatoms range chart</p> <p><strong>Table T4</strong>: Diagnostic calcareous nannofossils range chart</p> <p><strong>Table T5</strong>: Magnetic susceptibility data</p> <p><strong>Table T6</strong>: Bulk carbonate δ<sup>1</sup><sup>8</sup>O and δ<sup>13</sup>C data</p> <p><strong>Table T7</strong>: Wt% CaCO<sub>3 </sub>data</p> <p><strong>Table T8</strong>: DeCrack mean greyscale, redness, greenness and blueness data</p>
Data used in "Anderson et al. 2024. Unexpected sources of uncertainty in projecting habitat shifts for Arctic shorebirds under climate change"
<p>Data used in "Anderson et al. 2023. Unexpected sources of uncertainty in projecting habitat shifts for Arctic shorebirds under climate change". Includes shorebird observations from Environment and Climate Change Canada PRISM dataset, and environmental covariates. See Anderson et al. 2023 methods for more details. Data was funded and collected by Environment and Climate Change Canada.</p>
Key data used in "Western North Pacific tropical cyclone activity modulated by phytoplankton feedback under global warming" submitted to Nature Climate Change
<p>Key data</p>
References and climatic data of the study sites
<p>Database of references used for thesis writing and the climatic data of the study sites</p>
Data supporting "Modeling and evaluating the effects of irrigation on land-atmosphere interaction in southwestern Europe with the regional climate model REMO2020-iMOVE using a newly developed parameterization"
<p>This data supports the analysis of the manuscript Asmus et al. 2023 "Modeling and evaluating the effects of irrigation on land-atmosphere interaction in southwestern Europe with the regional climate model REMO2020-iMOVE using a newly developed parameterization".</p><p><strong>Simulation data</strong></p><p>The simulation data is created with REMO2020-iMOVE using the new irrigation parameterization. The results are saved as NetCDF files with monthly mean values and/or time series (hourly) of single variables for the analysis period. A list of the simulations can be found below.</p><p><strong>Observation data </strong></p><p>The observation data is published with the kind permission of ISPRA which hosts the SCIA database (www.scia.isprambiente.it). If you use this data, please make sure to include the following data source:<br>SCIA by ISPRA - Area Climatologia operativa - Via V. Brancati 48 00144 Roma. <br>We downloaded monthly mean values for the variables T2Max, T2Min and T2Mean from <a href="http://193.206.192.214/servertsutm/serietemporali100.php">http://193.206.192.214/servertsutm/serietemporali100.php </a>(last accessed on 14/10/2022) to verify the model results with and without irrigation parameterization. </p><p>By untarring the tarballs, the data structure is created that is necessary to execute the analysis scripts.</p><p>For more information or additional data please contact the author.</p><p> </p><p><strong>tarball | exp_number | description </strong></p><p>067015.tar.gz | 067015 | not irrigated</p><p>067016.tar.gz | 067016 | irrigated with "adaptive water application scheme"</p><p>067017.tar.gz | 067017 | irrigated with "adaptive water application scheme"</p><p>067019.tar.gz | 067019 | irrigated with "flexible time water application scheme"</p><p>067020.tar.gz | 067020 | irrigated with "prescribed water application scheme"</p><p>observation_scia.tar | - | observation data from SCIA </p><p> </p><p><strong>Data structure for simulation data</strong></p><p>\<exp_number><br> \monthly<br> \hourly<br> \var_series<br> \<variable><br><br>Note:<br>\067015 includes static variables<br> \irrifrac (irrigated fraction)<br> \bla (land-sea-mask)</p>
Data from: Germination niche breadth of invasive Iris pseudacorus (L.) suggests continued recruitment from seeds with climate warming
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Data from: A replicated climate change field experiment reveals rapid evolutionary response in an ecologically important soil invertebrate
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Data from: Cultural and climatic changes shape the evolutionary history of the Uralic languages
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Data from: Canonical correlations reveal adaptive loci and phenotypic responses to climate in perennial ryegrass
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Raw data for: Extreme climate shifts pest dominance hierarchy through thermal evolution and transgenerational plasticity
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Data from: Lowland biotic attrition revisited: body size and variation among climate change ‘winners’ and ‘losers’
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Data from: Dung beetle species interactions and multifunctionality are affected by an experimentally warmed climate
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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)
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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.