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2,260 results for “Climatic change”
Supplementary Datasets for 'Reducing climate change impacts from the global food system through diet shifts'
<p>Supplementary Datasets for <em>Reducing climate change impacts from the global food system through diet shifts.</em></p>
Climate change and energy policy control the future of Myanmar's rivers
<p>This data repository holds input and output data for the paper Jin XY., Chowdhury, A.K., Dang, T.D., Deshmukh, R. and Galelli, S. “Climate change and energy policy control the future of Myanmar's rivers”. See Readme for more details. </p>
Supplementary geochronological data for "A revised chronostratigraphy of the Triassic-Jurassic Moenave Formation, USA: Implications for timing of continental climate change"
<p>Geochronological data (supplemental tables and figure) related to the article "A revised chronostratigraphy of the Triassic-Jurassic Moenave Formation, USA: Implications for timing of continental climate change", submitted to the Geological Society of America Bulletin.</p>
Data and code for "Tree species abundance changes at the edges of their climatic distribution: an interplay between climate change, plant traits, and forest management"
<p>## Secondary data and code to accompany the research entitled "Tree species abundance changes at the edges of their climatic distribution: an interplay between climate change, plant traits, and forest management" by Padullés Cubino et al. (2024).</p> <p># There are four folders with (1) "raw data", (2) "processed data", (3) "results", and (4) "scripts".</p> <p># The raw and processed data folders contain the CSV and XLSX files with all the data used for analysis and produced from them</p> <p># The "results" folder contains the figures and table presented in the manuscript.</p> <p># The "scripts" folder contains four scripts for the analyses described in the manuscript:</p> <p> 01_preparation_ClimEdge.R -> data cleaning and processing</p> <p> 02_script_Fig1.R -> code to produce Fig1</p> <p> 03_script_Fig2.R -> code to produce Fig2</p> <p> 04_script_Table1_Fig3.R -> code to produce Table 1 and Fig3</p> <p># If anything is unclear, please contact the corresponding author for clarification (padullesj@gmail.com).</p>
The combined effect of climate change and building density on outdoor thermal comfort: a study in a southern middle sized Brazilian city)
<p>The files present all outputs (hourly data by sidewalk orientation) of physiological temperature equivalent from the simulations carried out in the research "The combined effect of climate change and building density on outdoor<br>thermal comfort: a study in a southern middle sized Brazilian city", classified according to the original ranges and Rosa's calibration.</p>
Data and figure production code for 'Hydrological cycle amplification imposes spatial pattern on climate change response of ocean pH and carbonate chemistry'
<p>Time mean data, and python code, used to create figures in 'Hydrological cycle amplification imposes spatial pattern on climate change response of ocean pH and carbonate chemistry', Biogeosciences, Hogikyan and Resplandy 2024</p>
Data for: Projected effects of climate-change-induced flow alterations on stream macroinvertebrate abundances
<p>Global change has the potential to affect river flow conditions which are fundamental determinants of physical habitats. Predictions of the effects of flow alterations on aquatic biota have mostly been assessed based on species ecological traits (e.g., current preferences), which are difficult to link to quantitative discharge data. Alternatively, we used empirically derived predictive relationships for species’ response to flow to assess the effect of flow alterations due to climate change in two contrasting central European river catchments. Predictive relationships were set up for 294 individual species based on (1) abundance data from 223 sampling sites in the Kinzig lower-mountainous catchment and 67 sites in the Treene lowland catchment, and (2) flow conditions at these sites described by five flow metrics quantifying the duration, frequency, magnitude, timing and rate of flow events using present-day gauging data. Species’ abundances were predicted for three periods: (1) baseline (1998–2017), (2) horizon 2050 (2046–2065) and (3) horizon 2090 (2080–2099) based on these empirical relationships and using high-resolution modeled discharge data for the present and future climate conditions. We compared the differences in predicted abundances among periods for individual species at each site, where the percent change served as a proxy to assess the potential species responses to flow alterations. Climate change was predicted to most strongly affect the low-flow conditions, leading to decreased abundances of species up to −42%. Finally combining the response of all species over all metrics indicated increasing overall species assemblage responses in 98% of the studied river reaches in both projected horizons and were significantly larger in the lower-mountainous Kinzig compared to the lowland Treene catchment. Such quantitative analyses of freshwater taxa responses to flow alterations provide valuable tools for predicting potential climate-change impacts on species abundances and can be applied to any stressor, species, or region.</p>
Data used in "Communicating climate change in a 'post-factual' society: Lessons learned from the Pole to Paris campaign"
<p>Office Open XML Workbooks and an Adobe Portable Document Format containing all the data used in the publication "Communicating climate change in a 'post-factual' society: Lessons learned from the Pole to Paris campaign" in Geoscience Communication by Erlend Moster Knudsen and Oria Jamar de Bolsée, published in 2019.</p>
FIGURE 1 in Additions to the aphid fauna of Wrangel Island due to climate change with redescription of the oviparous female of Pterocomma groenlandicum Hille Ris Lambers, 1952 (Hemiptera, Aphidoidea)
FIGURE 1. Anomalies of mean July air temperature and total above-zero summer temperatures on Wrangel Island relative to the 1961–1990 means (data from a weather station in Rogers Bay).
FIGURE 15. A in Additions to the aphid fauna of Wrangel Island due to climate change with redescription of the oviparous female of Pterocomma groenlandicum Hille Ris Lambers, 1952 (Hemiptera, Aphidoidea)
FIGURE 15. A tundra-steppe assemblage on the edge of a south-facing river terrace in the upper reaches of the Neizvestnaya River (central part of the island), 23.vi.2015; a biotope where the greatest number of Metopolophium sabihae was collected.
FIGURES 4–10. Pterocomma groenlandicum Hille Ris Lambers, 1952, ovip. 4 in Additions to the aphid fauna of Wrangel Island due to climate change with redescription of the oviparous female of Pterocomma groenlandicum Hille Ris Lambers, 1952 (Hemiptera, Aphidoidea)
FIGURES 4–10. Pterocomma groenlandicum Hille Ris Lambers, 1952, ovip. 4, body; 5, antenna; 6, ultimate segments of rostrum; 7, hind tibia; 8, hind tarsus; 9, siphunculus; 10, cauda.
FIGURE 3. A in Additions to the aphid fauna of Wrangel Island due to climate change with redescription of the oviparous female of Pterocomma groenlandicum Hille Ris Lambers, 1952 (Hemiptera, Aphidoidea)
FIGURE 3. A dry hillock at the feet of Mineeva Mountains (southern part of the island), 19.vii.2015; collecting location of Pemphigus saliciradicis, Myzus polaris and Metopolophium sabihae.
Climate-induced interannual variability and projected change of two harmful algal bloom taxa in Chesapeake Bay, USA
<p>This dataset include the input files for the hindcast simulation of ROMS-RCA in Chesapeake Bay during 2002-2011.</p> <p>ROMS (Regional Ocean Modeling System) model used in this study is version 3.4.</p> <p>RCA (Row-Column AESOP) water quality model used in this study is improved by UMCES, coupling with ROMS output.</p>
Predicting the global potential distribution of vine mealybug, Planococcus ficus under climate change
<p>Figure S1: Performances of niche model of <em>P.ficus</em> in current model. L=Linear; Q=Quadratic; H=Hinge; P=Product; T=Threshold, Figure S2: Partial AUC Values and Graphics, null model (red distribution), distribution of expectations created via bootstrapping replacement of 50% of the total available points and 1000 resampling replicates (blue distribution), Table S1: References used to compile the dataset, Table S2: Occurrence sites for <em>P.ficus</em>, Table S3: Correlation analysis of environmental variables for pest, Table S4: ENMeval results for <em>P.ficus</em> from SDMs.</p>
Fig. 5 in Niche overlap and host specificity in parasitic Maculinea butterflies (Lepidoptera: Lycaenidae) as a measure for potential extinction risks under climate change
Fig. 5 Niche identity tests of Maculinea/Myrmica host associations under the A2a climate change scenario for 2080. The red arrow indicates the measured niche overlap between hosts and parasites
Fig. 3 in Niche overlap and host specificity in parasitic Maculinea butterflies (Lepidoptera: Lycaenidae) as a measure for potential extinction risks under climate change
Fig. 3 Niche identity tests of Maculinea/Myrmica host associations under current climate. The red arrow indicates the measured niche overlap between hosts and parasites derived from ENMs generated
Fig. 2 in Niche overlap and host specificity in parasitic Maculinea butterflies (Lepidoptera: Lycaenidae) as a measure for potential extinction risks under climate change
Fig. 2 Estimated potential distributions of Maculinea butterflies (light grey) and Myrmica ants (dark grey) under current climatic conditions show large geographic overlaps of the butterfly species with their respective main (red) and secondary hosts (orange)
Fig. 2 Splits graph for ITS sequences from 26 in Allopatric divergence and secondary contacts in Euphorbia spinosa L: Influence of climatic changes on the split of the species
Fig. 2 Splits graph for ITS sequences from 26 ribotypes of E. spinosa. Branch lengths were estimated using the standard implementation of split decomposition (SplitsTree 4.0 beta 06). Ribotype abbreviations are given in Table 3
Fig. 3 in Allopatric divergence and secondary contacts in Euphorbia spinosa L: Influence of climatic changes on the split of the species
Fig. 3 Graphic representation produced on the basis of the ISSR data matrix for E. spinosa. a Plot of grey square individuals by first- and second-principal (30% and 11%) components showing an intermediate position between the samples of the black square = Northwestern group and white square=Southeastern group. b Estimation, by using the software NEWHY- BRIDS (Anderson and Thompson 2002) of the posterior probability that each individual belongs to each of the six genotypic classes that originate after two generations of admixture. The six classes are: two pure lines (black =pure line 1, northwestern group and white = pure line 2, southeastern group), first generation hybrids (F1), second generation hybrids (F2), backcrosses to NW (BC_1); backcrosses to SE (BC_2). The length of each bar reflects the Bayesian posterior probabilities that the 90 analyzed individuals belong to line pure or hybrids. Population abbreviations are explained in Table 1
Figure 2 in Niche evolution and diversification in Middle Eastern stream salamanders (Paradactylodon): vulnerability to future climate change
Figure 2. Recent (A: 1970-2000) and future (2081-2100) habitat suitability of Paradactylodon species based on the consensus model under optimistic (B: ssp126) and pessimistic (C: ssp585) scenarios.
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.