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2,837 results for “Climate Data”
Data from: Connections between the Southern Ocean and the Eastern tropical Pacific in unforced and forced climate model simulations
<p>The sea surface temperature (SST) over the eastern tropical Pacific significantly influences global-mean climate feedback and may be driven in part by the SST over the Southern Ocean. Previous studies demonstrated a teleconnection from the Southern Ocean to the eastern tropical Pacific by perturbing the Southern Ocean climate. We investigate if this teleconnection holds in a fully coupled, freely running climate system using CMIP6 models. We assess the relationship between the Southern Ocean (SO) and the eastern tropical Pacific (SEP) by calculating correlations between SO and SEP SST timeseries within each model and regressions between mean SO and SEP SSTs across models. We show robust, positive SO-SEP relationships in an unforced climate using pre-industrial SSTs, in a forced climate using SST anomalies between pre-industrial and quadrupled CO<sub>2</sub> simulations, and in the SST pattern of the forced response relative to the global-mean SST anomaly. The strength of SO-SEP correlations is positively related to the stratocumulus cloud feedback off the west coast of South America, and negatively related to ocean heat uptake in the same region. As both shortwave cloud feedback and ocean heat uptake are underestimated in climate models, understanding their effects on SO-SEP teleconnections and their interactions is crucial for determining the strength of SO-SEP teleconnection in the real world and its trustworthiness in climate model projection.</p>
Data from: Climate drives body mass changes in a mountain ungulate: Shorter winters lead to heavier Alpine ibex
<p>Climate affects seasonality and plant phenology, which can influence seasonal body mass dynamics of herbivores in temperate environments. We investigated long-term trends of seasonal body mass changes in male Alpine ibex (<em>Capra ibex</em>). We used SEM to test direct and indirect relationships between body mass, mass changes and environmental and climatic variables. Individually recognizable Alpine ibex were weighed repeatedly between 2000 and 2022 in Gran Paradiso National Park (Italy). Autumn mass increased substantially over these two decades, up to 15% in some age classes. Over the same time frame, both summer mass gain and winter mass loss decreased, suggesting that heavier autumn body mass was due to the cumulative effects of reduced mass loss over several winters. The environmental factor with the strongest effects on winter mass changes was the starting date of vegetation green-up at low altitude, where ibex gather after winter to feed on new growth vegetation. Early springs led to lower winter mass loss, likely because ibex relied on stored fat for a shorter period and had greater access to forage. High population density also increased winter mass loss. Environmental conditions and resource availability, possibly also influenced by density in winter and early spring seem therefore to directly affect the body mass dynamics of male Alpine ibex, while the effect of summer conditions appears less relevant. By affecting seasonal body mass dynamics, climate change may have consequences for life history and population dynamics of mountain herbivores, for example via earlier access of young males to reproduction.</p>
Data for: A harmonized database of European forest simulations under climate change
<p>This repository contains the database presented in the publication "A harmonized database of European forest simulations under climate change". It contains a collection of harmonized forest simulation model outputs from 17 different models covering 1.1 million individual simulation runs, over 136 million simulation years across over 13,599 unique locations in Europe.</p> <p>Detailed description can be found in the publication (<a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.dib.2024.110384" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.dib.2024.110384</a>). The file "forest_simulation_db_v1.7z" contains all raw simulation outputs and a metadata table of all simulations including information about locations and harmonized soil conditions for those locations. Simulation outputs with harmonized climate data are stored in one SQLite database per climate scenario.</p> <p>The code that was used to create the database, as well as to access and explore the data can be found here: https://github.com/magrueni/forest_simulation_database.git</p> <p>Note: Please be cautious with the use of the simulations with unique identifiers 1037-1047. There were some abrupt species compositions changes reported that suggest that in a small number of the original simulations there was an underlying issue in the compilation of the raw simulation data.</p> <p> </p> <p>--- Please use the updated version 1.1 ---</p> <p>Unfortunately we found an bug in the daily climate extraction process of the previous version, leading to inconsistencies in the harmonized climate data. We corrected the harmonized daily climate data for all scenarios. Additionally, the LAI values in the raw data of the simulations with the unique identifier 1016 were calculated wrongly and therefore corrected in this version. Please use the updated version for all analyses. We apologize for any inconveniences.</p> <p> </p> <p>--- Please use the updated version 1.1 ---</p>
Data to support 'Deforestation amplifies climate change effects on warming and cloud level rise in African montane forest'
<p>This respository contains output data to support the manuscript titled 'Deforestation amplifies climate change effects on warming and cloud level rise in African montane forest' by Temesgen Alemayehu Abera, Janne Heiskanen Eduardo Eiji Maeda, Mohammed Ahmed Muhammed, Netra Bhandari, Ville Vakkari, Binyam Tesfaw Hailu, Petri K.E. Pellikka, Andreas Hemp, Pieter G. van Zyl, and Dirk Zeuss </p>
Data supplement to 'Orbital (Hydro)Climate Variability in the Ice-Free early Eocene Arctic'
<p>Data supplement to 'Orbital (Hydro)Climate Variability in the Ice-Free early Eocene Arctic'.</p> <ul> <li><strong>Table T1</strong>: Bulk magnetic susceptibility data.<br><br></li> <li><strong>Table T2</strong>: GDGT analysis results. Integrated peak areas of isoprenoid and branched GDGTs, several GDGT ratio's,SST and SubT data, and indicators for TEX86 outliers.<br><br></li> <li><strong>Table T3</strong>: Color analysis data. Mean greyscale values, generated on 1-cm resolution from the core picture.<br><br></li> <li><strong>Table T4</strong>: Palynology data. This file contains concentrations and relative abundances of low salinity tolerant dinoflagellate cysts, normal marine dinoflagellate cysts and terrestrial palynomorphs.<br><br></li> <li><strong>Table T5</strong>: Age-depth tie points. The age depth constraints based on the positions of ETM2, H2, and four identified eccentricity maxima in the pre-ETM2 interval.</li> </ul> <p>All reported data was generated on samples from Arctic Coring EXpedition (ACEX; IODP 302) Site M0004a, Core 27X.</p>
Data for Disentangling the influence of phylogeny and traits on climatic risk of European butterflies
<p>R code and dataset associated with Gianuca et al. 2024 "Disentangling the influence of phylogeny and traits on climatic risk of European butterflies", Global Ecology and Biogeography.</p> <p>The data includes climatic risks, traits and Phylogenetic eigenvectors.</p> <p>We provide data and metadata including traits, ecological characteristics and climatic risks for different scenarios of climate change and climate tracking scenarios</p> <p>We provide the phylogeny for 496 European species</p> <p>We provide a prunned phylogeny to facilitate the analysis of the species with available information (268 species)</p> <p>We provide the code to run the analysis as described in the main text</p> <p> </p>
Data for "Why Climate Sensitivity may be Constrained by Observable Natural Variability"
<p>Surface temperature and top-of-atmosphere radiation data from a 700-yr CO<sub>2</sub>-doubling experiment performed with the fully-coupled CESM1. Given on the CAM5 native grid (1 degree nominal resolution) as annual means. </p> <p>Data include annual TS (radiative surface temperature; in K), FLNT (net longwave radiation out at top-of-atmosphere), FSNT (net shortwave radiation in at top-of-atmosphere), FLNTC (net clear-sky longwave radiation out at top-of-atmosphere) and FSNTC (net clear-sky shortwave radiation out at top-of-atmosphere).</p>
Data output for: Climate change stimulated agricultural innovation and exchange across Asia, in review.
<p>The GitHub repository for this project does not contain the output<br> generated by the script—3.2 GB of compressed data. All output data is<br> available as this Zenodo archive.</p> <p>The `vignettes/` directory contains all data generated by the<br> `guedesbocinsky2018.Rmd` RMarkdown vignette:</p> <p> - `data/raw_data` contains data downloaded from web sources for this<br> analysis<br> - `data/derived_data/` contains tables of the raw site chronometric<br> data without locational information, and the modeled chronometric<br> probability and niche information for each site.<br> - `data/derived_data/models/` contains R data objects describing the<br> Kriging interpolation models across the study area<br> - `data/derived_data/recons/` contains NetCDF format raster bricks of<br> the model output (i.e., the reconstructed crop niches)<br> - `figures/` contains all figures output by the script, including<br> videos of how each crop niche changes over time<br> - `figures/site_densities/` contains figures of the estimated<br> chronometric probability density for each site in our database<br> - `submission/` contains all of the figures, tables, movies, and<br> supplemental datasets included with d’Alpoim Guedes and Bocinsky<br> (2018)</p>
Data archive for Towards understanding potential atmospheric contributions to abrupt climate changes: characterizing changes to the North Atlantic eddy-driven jet over the last deglaciation
<p>This archive contains simulated North Atlantic eddy-driven jet latitude and tilt data generated using the PlaSim model to accompany Andres and Tarasov (Climate of the Past, accepted), DOI: https://doi.org/10.5194/cp-15-1-2019.</p> <p>Paper abstract is as follows:</p> <p>"Abrupt climate shifts of large amplitudes were common features of the Earth’s climate as it transitioned into and out of the last full glacial state approximately 20 000<br> years ago, but their causes are not yet established. Midlatitude atmospheric dynamics may have played an important role in these climate variations through their effects on heat and precipitation distributions, sea ice extent, and wind-driven ocean circulation patterns. This study characterizes deglacial winter wind changes over the North Atlantic (NAtl) in a suite of transient deglacial simulations using the PlaSim Earth system model (run at T42 resolution) and the TraCE-<br> 21ka (T31) simulation. Though driven with yearly updates in surface elevation, we detect multiple instances of NAtl jet transitions in the PlaSim simulations that occur within 10<br> simulation years and a sensitivity of the jet to background climate conditions. Thus, we suggest that changes to the NAtl jet may play an important role in abrupt glacial climate changes.</p> <p>We identify two types of simulated wind changes over the last deglaciation. Firstly, the latitude of the NAtl eddy-driven jet shifts northward over the deglaciation in a sequence of distinct steps. Secondly, the variability in the NAtl jet gradually shifts from a Last Glacial Maximum (LGM) state with a strongly preferred jet latitude and a restricted latitudinal range to one with no single preferred latitude and a range that is at least 11 ◦ broader. These changes can significantly affect ocean circulation. Changes to the position of the NAtl jet alter the location of the wind forcing driving oceanic surface gyres and the limits of sea ice extent, whereas a shift to a more variable jet reduces the effectiveness of the wind forcing at driving surface ocean transports.</p> <p>The processes controlling these two types of changes differ on the upstream and downstream ends of the NAtl eddy-driven jet. On the upstream side over eastern North America, the elevated ice sheet margin acts as a barrier to the winds in both the PlaSim simulations and the TraCE-21ka experiment. This constrains both the position and the latitudinal variability in the jet at LGM, so the jet shifts in sync with ice sheet margin changes. In contrast, the downstream side over the eastern NAtl is more sensitive to the thermal state of the background climate. Our results suggest that the presence of an elevated ice sheet margin in the south-eastern sector of the North American ice complex strongly constrains the deglacial position of the jet over eastern North America and the western North Atlantic as well as its variability."</p> <p> </p>
Code and data to reproduce the results of the paper: "Land Use Patterns and Climate Change---A Modeled Scenario of the Late Bronze Age in Southern Greece"
<p>Code and data to reproduce the results of Knitter et al. (2019): Land Use Patterns and Climate Change---A Modeled Scenario of the Late Bronze Age in Southern Greece. ERL.</p>
Developing Implementable Climatic Input Data and Moisture Boundary Conditions for Pavement Analysis and Design
<p>Corresponding data set for Tran-SET Project No. 18POKS03. Abstract of the final report is stated below for reference:</p> <p>"The main objective of this study is to develop a practical and implementable numerical model for predicting the moisture (suction) regime within the pavement subgrade system. The research quality and uniformly-dispersed climate data over short distances from Oklahoma Mesonet and the Mitchell based moisture (suction) prediction methods establish the main background of the research study. The study involved numerical modeling and statistical analysis of climatic weather data. The proposed moisture variation model predicts the suction distribution throughout the soil subgrade by solving the diffusion equation and incorporates the measured suction from the Oklahoma Mesonet to estimate the diffusion coefficient. The research study resulted in a practical prediction model that could be used to determine the moisture boundary conditions within the pavement structure."</p>
The data for the article entitled "Soil carbon release responses to long-term versus short-term climatic warming in an arid ecosystem"
<p>The data for the article entitled "Soil carbon release responses to long-term versus short-term climatic warming in an arid ecosystem" Yu et al. </p>
Early Mars EBM data for "CLIMATE SIMULATIONS OF EARLY MARS WITH ESTIMATED PRECIPITATION, RUNOFF, AND EROSION RATES"
<p>These are all the data and plots we used for the publication, CLIMATE SIMULATIONS OF EARLY MARS WITH ESTIMATED PRECIPITATION, 2 RUNOFF, AND EROSION RATES.</p>
Simulation data of European seabass and meagre growth in Greece (C12A) under climate change scenarios
<p>The dataset contains excel files with the biological predictions for European seabass and meagre generated within ClimeFish C12A. Simulations are done for climate scenarios RCP45 and RCP85 and at three time scales denoting short (2015-2025)-, mid (2025-2035)- and long (2045-2055)- term projections. The temperature data used for the simulations are also included as well as a file containing metadata.</p>
Survey instrument, data, and code for paper "Freihardt, Buntaine, Bernauer (2024): Choosing to protect: Public support for flood defense over relocation in climate change adaptation. Environmental Research Letters. DOI 10.1088/1748-9326/ad6781"
<p>This is the survey instrument, data, and code underlying the manuscript:</p> <p>"Freihardt, Buntaine, Bernauer (2024): Choosing to protect: Public support for flood defense over relocation in climate change adaptation. Environmental Research Letters. DOI 10.1088/1748-9326/ad6781"</p>
Focus group survey data 2024_05 Climate Smart Elephant
<p><span>Climate Smart Elephant confirmation survey, multinational, Needs assessment and identification of target group habits</span></p>
Data, code snippets, and resources of BMF CP51: Political ideology, climate change belief, and potable water reuse willingness in the USA
<p>The dataset, data description, code snippets, and figures related to the Bayesian analysis of BMF CP 51 on SM3D Portal were uploaded to Zenodo to enhance transparency and assist in later replication and validation (https://mindsponge.info/posts/246). The original dataset can be found at: https://www.sciencedirect.com/science/article/pii/S2352340920301839</p>
Code and data from: Towards a more dynamic metabolic theory of ecology to predict climate change effects on biological systems
<p>This repository contains data and code used to produce Figures 1, 2, and S1 in <em>Towards a more dynamic metabolic theory of ecology to predict climate change effects on biological systems.</em></p> <p>The file "empirical_mte_database.csv" contains a database of peer-reviewed articles pulled from a Web of Science search of papers that empirically tested the temperature dependence predictions of the metabolic theory of ecology (Brown et al. 2004) between 2004 and 2024. </p> <p>The .zip file contains a jupyter notebook, julia project toml file and a README in order to reproduce the simulations illustrating how different temperature dynamics can lead to different inferred thermal performance curves in populations.</p> <p> </p>
Data for manuscript "Evidence for large-scale climate forcing of dense shelf water variability in the Ross Sea"
<p>Relevant data shown in figures of the manuscript "Evidence for large-scale climate forcing of dense shelf water variability in the Ross Sea"</p>
Data output from Projecting future climate change impacts on the distribution of pelagic squid in the Southern Ocean
<p>Data output from Projecting future climate change impacts on the distribution of pelagic squid in the Southern Ocean:<br>Rasters, R models and scripts</p>
ScienceDex guides
Understand access before you commit
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.