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382 results for “Climate Impacts”
Data from: Climate and atmospheric change impacts on sap-feeding herbivores: a mechanistic explanation based on functional groups of primary metabolites
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Mating under climate change: impact of simulated heatwaves on the reproduction of model pollinators (Dataset)
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Pollution control can help mitigate future climate change impacts on European grayling in the UK
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Data from: Climate change impacts on marine biodiversity, fisheries and society in the Arabian Gulf
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Impacts of climate-driven changes in habitat phenology on dynamics of niche overlaps and spatial associations in a boreal waterbird community
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Data from: Direct and indirect impacts of climate change on microbial and biocrust communities alter the resistance of the N cycle in a semiarid grassland
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How climate impacts the composition of wolf killed-elk in northern Yellowstone National Park
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Climate simulations of impact of LULC on mid-Holocene climate
<p>Extracted data from climate simulations by Smith et al., 2016 with and without landuse-landcover changes at 6000 yr BP., used to construct Figure 8 in <strong>Harrison, S.P.</strong>, Gaillard, M-J., Stocker, B., Vander Linden, M., Klein Goldewijk, K., Boles, O., Braconnot, P., Dawson, A., Fluet-Chouinard, E., Kaplan, J.O., Kastner, T., Pausata, F.S.R., Robinson, E., Whitehouse, N., Madella, M., Morrison, K.D., 2019. Development and testing of scenarios for implementing Holocene LULC in Earth System Model Experiments. <em>Geoscientific Model Development</em> <em>Discussions, </em><strong><a href="https://doi.org/10.5194/gmd-2019-125%20%20%20%207">https://doi.org/10.5194/gmd-2019-125 7</a></strong></p>
Output of CAM simulations performed for study "Impact of cloud physics on the Greenland Ice Sheet near-surface climate: a study with the Community Atmosphere Model"
<p>Output of CAM simulations performed for study "Impact of cloud physics on the Greenland Ice Sheet near-surface climate: a study with the Community Atmosphere Model" in JGR-Atmospheres (2020). </p> <p>Output are NetCDF files containing annual means (named 'yearmean', 2007-2013), or multi-annual monthly means ('ymonmean', 2007-2012) of various variables that are of interest and/or used for analysis in this study. The file name starts with the variable name. Fields are global, at a resolution of 0.9 x 1.25 degrees latitude/longitude.</p> <p>The test simulations are named (as discussed in the paper):</p> <p>cam4_clm5<br> cam5_clm5<br> cam6_noicenucl_clm5<br> cam6_noclubb_clm5<br> cam6_mg1_clm5<br> cam6</p>
Repository for data used in STOTEN article "Impacts of town characteristics on the changing urban climate in Vantaa"
<p>This dataset contains data used in the Science of The Total Environment journal article "Impacts of town characteristics on the changing urban climate in Vantaa" (https://doi.org/10.1016/j.scitotenv.2020.138471). The dataset includes:</p> <ul> <li>SURFEX air-surface interaction model results</li> <li>Observations from Helsinki-Vantaa airport</li> </ul> <p>SURFEX.zip contains SURFEX outputs used in the results section of the article.</p> <p>Verification_data.zip contains SURFEX outputs and meteorological observations used in the verification section of the article.</p> <p>E104.zip, E106.zip, E204.zip and E206.zip contain full SURFEX outputs for the four experiments conducted: A synthetic reference year representing the climate of the period 1980-2009 with no intervention (E104) and with green intervention (E106) and similarly for 2050s climate (E204 and E206).</p> <p>The STOTEN article "Impacts of town characteristics the changing urban climate in Vantaa" by Olli Saranko, Carl Fortelius, Kirsti Jylhä, Kimmo Ruosteenoja, Erika Brattich, Silvana Di Sabatino and Väinö Nurmi is provided in pdf-file 1-s2.0-S0048969720319847-main.pdf. The article is published in Science of The Total Environment journal, and is under a Creative Commons license (https://creativecommons.org/licenses/by-nc-nd/4.0/). This version is the pre-proof version.</p>
Data accompanying the paper "The impact of life on climate stabilisation over different timescales"
<p>Produced data (Matlab files) from a model of the long-term carbon cycle coupled to a model of marine calcite precipitation and a model of continental uplift and erosion. The data compares surface temperature amplitudes between models of different ocean modes and between models with and without biological enhancement of weathering. The data accompanies the paper "The impact of life on climate stabilisation over different timescales", submitted to g-cubed.</p>
Supporting Data for Feldl et al. 2017: Coupled high-latitude climate feedbacks and their impact on atmospheric heat transport
<p>This dataset includes GFDL AM2.1 model output used to create figures in the following papers: Feldl, N., S. Bordoni, and T. M. Merlis, 2017: Coupled high-latitude climate feedbacks and their Impact on atmospheric heat transport. <em>J. Climate</em>, 30, 189–201, https://doi.org/10.1175/JCLI-D-16-0324.1; and Feldl, N., B. T. Anderson, and S. Bordoni, 2017: Atmospheric eddies mediate lapse rate feedback and Arctic amplification. <em>J. Climate</em>, 30, 9213–9224, https://doi.org/10.1175/JCLI-D-16-0706.1. Here we provide monthly climatologies averaged over the last thirty years of each experiment.</p>
Data & Code for Using Artificial Intelligence to Predict the Financial Impact of Climate Transition Risks Within Organisations
<p>This repository contains the code used for the article</p> <p>"Pérez-Pérez, Juan F., Bonet, Isis, Sánchez-Pinzón, María Solange, Caraffini, Fabio, Lochmuller, Christian, Using Artificial Intelligence to Predict the Financial Impact of Climate Transition Risks Within Organisations, <em>International Journal of Intelligent Systems</em>, 2024, 3334263, 21 pages, 2024. <a href="https://doi.org/10.1155/int/3334263">https://doi.org/10.1155/int/3334263</a>"</p> <p> including the code for generating data sets. Shall you use this code and data, please acknowledge the published article and this repository.</p>
Data used to generate results for Meireles et al. 2024. The Miners of South America: impacts of climate change on the distribution of Geositta miners along elevational gradients
<p><span>Data used to generate results for Meireles et al. 2024. The Miners of South America: impacts of climate change on the distribution of <em>Geositta miners</em> along elevational gradients </span></p> <p><span> </span><span>Here we included all the data used in this paper.</span></p> <p><strong><span>Table1</span></strong><span>. Occurrence records for the seven species of <em>Geositta</em> miners, their elevation and climate suitability values per record for the present and future in different climate models (GCM: MPI-ESM1-2-HR and MRI-ESM2-0) and different scenarios (Optimistic: ssp245 and Pessimistic: ssp585).</span></p>
Supported Datasets for the Research Titled: "Impacts of Climate and Land Use Changes on Streamflow in the Mun-Chi River Basin, the Largest Tributary of the Mekong River"
<p><strong>Supported Datasets for the Research Titled: "Impacts of Climate and Land Use Changes on Streamflow in the Mun-Chi River Basin, the Largest Tributary of the Mekong River"</strong></p> <p>Abstract: </p> <p><span>The impact of climate change and human activities poses significant challenges in the tropical region of Southeast Asia, specifically within the Mun-Chi River Basin, the largest tributary of the Mekong River in Thailand. The bias-corrected MPI-ESM1-2-LR, the most appropriate Global Climate Model (GCM) under the Coupled Model Intercomparison Project Phase 6 (CMIP6) for projecting Mun-Chi River flow, represent future climate variations in this basin. The analysis reveals forthcoming transformations in future land use, with cropland areas transitioning into forests and urban areas. While the projected annual streamflow contributing to the Lower Mekong River is expected to slightly increase by up to 4%, with 67% attributed to climate change and 33% to land-use change, temporal variations in the future flow regime reveal a wetter wet season and a drier dry season in this catchment. During the wet season, streamflow is projected to rise by 5% to 18% in 2023-2035 and 10% to 24% in 2036-2050. In contrast, the dry season is expected to experience a decrease of -3% to -9% in 2023-2035 and -6% to -17% in 2036-2050. Projected streamflow fluctuations are more pronounced in mountainous areas and upstream tributaries. These seasonal contrasts highlight the potential impact of more severe drought during the dry season and more severe flooding during the wet season. These potential increases in extreme hydrological events present challenges for efficient water resource management in this watershed and downstream countries. Consequently, effective water regulation and land-use policies are deemed crucial for sustainable management in the Mun-Chi River Basin.</span></p>
Impact of Climate Change Anxiety on Sinusitis Symptoms and Quality of Life Among Adults With Chronic Rhinosinusitis: A Cross-Sectional Study
ClinicalTrials.gov study NCT07119879. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Impact of Climate Changes on Women's Health in Al Dakahlya Governorate, Egypt
ClinicalTrials.gov study NCT06563180. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Assessing Sustainable Behaviors and Health Impacts of Climate Change
ClinicalTrials.gov study NCT06290804. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Patient Perspective on Climate Impact of Inhalers
ClinicalTrials.gov study NCT06097507. IPD Sharing: NO. Countries: 1. Publications: 0.
IPCC Fourth Assessment Report (AR4) Observed Climate Change Impacts Database
The Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4) Observed Climate Change Impacts Database contains observed responses to climate change across a wide range of systems as well as regions. These data were taken from the Intergovernmental Panel on Climate Change Fourth Assessment Report and Rosenzweig et al. (2008). It consists of responses in the the physical, terrestrial biological systems and marine-ecosystems. The observations that were selected include data that demonstrate a statistically significant trend in change in either direction in systems related to temperature or other climate change variable, and the is for at least 20 years between 1970 and 2004, although study periods may extend earlier or later. For each observation, the data series is described in terms of system, region, longitude and latitude, dates and duration, statistical significance, type of impact, and whether or not land use was identified as a driving factor. System changes are taken from ~80 studies (of which ~75 are new since the IPCC Third Assessment Report) containing more than 29,500 data series. Observations in the database are characterized as a "change consistent with warming" or a "change not consistent with warming", based on information from the underlying studies.
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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.