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150 results for “climate extreme”
Effects of winter wheat irrigation on local climate and extreme events over the North China by using the high resolution non-hydrostatic regional climate model
<p>The control and irrigation simulation dataset from RegCM4.7.</p>
Stressed economies respond more strongly to climate extremes - Data and Code Supplement
<p>This repository provides data and code to reproduce the results of the publication "R. Middelanis, S. N. Willner, K. Kuhla, L. Quante, C. Otto, and A. Levermann (2023). Stressed economies respond more strongly to climate extremes. Environmental Research Letters."</p> <p> </p> <p><strong>dependencies:</strong></p> <ul> <li>a working environment is provided in environment.yml</li> <li>the Acclimate post-processing package can be downloaded from the respective GitHub repostory with <code>git@github.com:acclimate/post-processing.git</code>. Switch to the develop branch with <code>git checkout develop</code> and install the package with <code>conda develop .</code> from within the repository</li> </ul> <p> </p> <p><strong>data:</strong></p> <ul> <li>See <code>./data/README.md</code> for the required data and sources for those data that are not included in this repository.</li> </ul> <p> </p> <p><strong>Steps to reproduce the results:</strong></p> <p>1. Generate Acclimate input data</p> <ul> <li>Direct loss time series are obtained from "Kuhla et al. (2021). Ripple resonance amplifies economic welfare loss from weather extremes. <em>Environmental Reserach Letters</em>".</li> <li>Acclimate input data (cf. <code>./data/README.md</code>) are generated with <code>./code/forcing.py</code></li> <li>The input data used in the pubilcation are available at <code>./data/acclimate_input</code></li> </ul> <p>2. Run Acclimate</p> <ul> <li>the Acclimate model can be downloaded from the respective GitHub repository at <a href="https://github.com/acclimate/acclimate">https://github.com/acclimate/acclimate</a></li> </ul> <p>3. Run the analyses</p> <ul> <li>Acclimate output files of the calibration runs and the scenario runs are aggregated with functions <code>aggregate_calibration_ensemble </code>and <code>aggregate_ensembles</code> in <code>./code/utils.py</code>, respectively.</li> <li>Aggregated ready-to-use output data is located in <code>./data/acclimate_output</code></li> <li>All figures can be reproduced with <code>./code/plotting.py</code></li> </ul>
Data from: Extreme mito-nuclear discordance in a peninsular lizard: the role of drift, selection and climate
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Pastures and climate extremes: Impacts of cool season warming and drought on the productivity of key pasture species in a field experiment
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Data from: The scaling of population persistence with carrying capacity does not asymptote in populations of a fish experiencing extreme climate variability
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Data from: Multiple extreme climatic events strengthen selection for earlier breeding in a wild passerine
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Archive data for: Loss of predation risk from apex predators can exacerbate marine tropicalization caused by extreme climatic events
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Data from: Extreme climate events and individual heterogeneity shape life-history traits and population dynamics
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Data from: The ancient Britons: groundwater fauna survived extreme climate changes over tens of millions of years across NW Europe
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Data from: Tick exposure and extreme climate events impact survival and threaten the persistence of a long-lived lizard
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Data from: Birth dates vary with fixed and dynamic maternal features, offspring sex, and extreme climatic events in a high-latitude marine mammal
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CESM1.2 simulation output for: The role of westerly wind bursts during different seasons versus ocean heat recharge in the development of extreme El Niño in a climate model
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Data from: Strong survival selection on seasonal migration versus residence induced by extreme climatic events
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Deer movement and resource selection during Hurricane Irma: implications for extreme climatic events and wildlife
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Data from: Genetic and life-history consequences of extreme climate events
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Using retrospective life-tables to assess the effect of extreme climatic conditions on ungulate demography
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Data from: Physiological and genomic signatures of evolutionary thermal adaptation in redband trout from extreme climates
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The role of extreme rain events in driving tree growth across a continental-scale climatic range in Australia
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The importance of considering the duration of extreme temperatures when investigating responses to climate change
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Multivariate hazard assessment for nonstationary seasonal flood extremes considering climate change
<p>Processed streamflow data used to create the plots shown in the paper ("Multivariate hazard assessment for nonstationary seasonal flood extremes considering climate change" published on JGR_A) for reproducibility</p>
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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)
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.