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2,837 results for “Climate Data”
Model data of White et al. (2022, Climate of the Past)
<p>This contains the scripts and model and proxy data to reproduce Figures 1, 2, 3, 4, 7, 8, and 10 in White et al. (2022, Climate of the Past).</p> <p>Abstract. Paleoclimate reconstructions have identified a period of exceptional summer and winter cooling in the North Atlantic region following the eruption of the tropical volcano Huaynaputina (Peru) in 1600 CE CE3 . A previous study based on numerical climate simulations has indicated a potential mechanism for the persistent cooling in a slowdown of the North Atlantic subpolar gyre (SPG) and consequent ocean–atmosphere feedbacks. To examine whether this mechanism could have been triggered by the Huaynaputina eruption, this study compares the simulations used in the previous study both with and without volcanic forcing and this SPG shift to reconstructions from annual proxies in natural archives and historical written records as well as contemporary historical observations of relevant climate and environmental conditions. These reconstructions and observations demonstrate patterns of cooling and sea-ice expansion consistent with, but not indicative of, an eruption trigger for the proposed SPG slowdown mechanism. The results point to possible improvements in future model–data comparison studies utilizing historical written records. Moreover, we consider historical societal impacts and adaptations associated with the reconstructed climatic and environmental<br> anomalies.</p>
Anuradhapura Leptospirosis and climate data - 207 to 2019
<p>This data base contains leptospirosis data and climate data of Anuradhapura district Sri Lanka from 2007 to 2019.</p>
Climate Informatics 2022 Hackathon Data
<p>This is the dataset for Climate Informatics 2022 Hackathon on drought prediction.</p>
Validation Data used for manuscript "Climate Projections over the Great Lakes Region: Using Two-way Coupling of a Regional Climate Model with a 3-D Lake Model"
<p>those are the processed data that used for model-data comparison in the manuscript "Climate Projections over the Great Lakes Region: Using Two-way Coupling of a Regional Climate Model with a 3-D Lake Model", including Lake Surface Temperature and Lake Surface Ice Cover from Great Lakes Surface Environmental Analysis (GLSEA), Surface Air temperature and Precipitation from Climatic Research Unit (CRU). </p>
WRF model configuration and data used for the NHESS manuscript "Droughts in Germany: Performance of Regional Climate Models in reproducing observed characteristics"
<p>The file contains:</p> <ul> <li>the namelist.input document with the description of the WRF model configuration used in Warscher et al. (2019)</li> <li>WRF simulation outputs from the reanalysis run: monthly values for the time period 1980-2009 of precipitation, maximum and minimum temperature (needed for the SPEI calculation) from the innermost (5 km grid resolution) and second innermost (15 km) domain; from both domains the same section, relevant for the study, was taken; the data was bilineraily interpolated to 12.5 km horizontal grid resolution to match the EUR-11 CORDEX format</li> </ul> <p> </p>
Supplemental data for "Circular utilization of urban tree waste contributes to the mitigation of climate change and eutrophication"
<p>Supplemental data for "Circular utilization of urban tree waste contributes to the mitigation of climate change and eutrophication"</p>
Data from: Is adaptation to climate change really constrained in niche specialists?
Species with restricted distributions make up the vast majority of biodiversity. Recent evidence suggests that Drosophila species with restricted tropical distributions lack genetic variation in the key trait of desiccation resistance. It has therefore been predicted that tropically restricted species will be limited in their evolutionary response to future climatic changes and will face higher risks of extinction. However, these assessments have been made using extreme levels of desiccation stress (less than 10% relative humidity (RH)) that extend well beyond the changes projected for the wet tropics under climate change scenarios over the next 30 years. Here, we show that significant evolutionary responses to less extreme (35% RH) but more ecologically realistic levels of climatic change and desiccation stress are in fact possible in two species of rainforest restricted Drosophila. Evolution may indeed be an important means by which sensitive rainforest-restricted species are able to mitigate the effects of climate change.
Orbitrap analysed non-volatile compound data from blue swimmer crab (Portunus armatus) flesh for manuscript: "Climate-driven changes to taste and aroma determining metabolites in an economically valuable portunid (Portunus armatus) have implications for future harvesting"
<p>Accurate mass measurements of non-volatile metabolites conducted on a Q-Exactive Orbitrap LC-MS (Thermo Scientific, Scoresby, VIC, Australia) equipped with a heated electrospray ionization (H-ESI) source. Source conditions were as follows: spray voltage (positive ion 3.9 kV), sheath gas 60 (arbitrary units), auxiliary gas 10 (arbitrary units) and sweep gas 1 (arbitrary units), capillary temperature of 350 °C and auxiliary gas heating temperature of 400 °C.</p>
Data from: Downscaled and debiased climate simulations for North America from 21,000 years ago to 2100AD
Increasingly, ecological modellers are integrating paleodata with future projections to understand climate-driven biodiversity dynamics from the past through the current century. Climate simulations from earth system models are necessary to this effort, but must be debiased and downscaled before they can be used by ecological models. Downscaling methods and observational baselines vary among researchers, which produces confounding biases among downscaled climate simulations. We present unified datasets of debiased and downscaled climate simulations for North America from 21 ka BP to 2100AD, at 0.5° spatial resolution. Temporal resolution is decadal averages of monthly data until 1950AD, average climates for 1950–2005 AD, and monthly data from 2010 to 2100AD, with decadal averages also provided. This downscaling includes two transient paleoclimatic simulations and 12 climate models for the IPCC AR5 (CMIP5) historical (1850–2005), RCP4.5, and RCP8.5 21st-century scenarios. Climate variables include primary variables and derived bioclimatic variables. These datasets provide a common set of climate simulations suitable for seamlessly modelling the effects of past and future climate change on species distributions and diversity.
Data Archive of 'Hadley Cell Edge Modulates the Role of Ekman Heat Flux in a Future Climate'
<p>Output data used to create figures in ' Hadley Cell Edge Modulates the Role of Ekman Heat Flux in a Future Climate ' is archived. Original data sources from which the output data are generated are Reanalysis Products (ERA5, JRA55, NCEP/NCAR reanalysis) and 8 CMIP6 model simulations.</p>
Data in support of "Self-adaptive multi-objective climate policies align mitigation and adaptation strategies"
<p>The simulation model, the characterization of uncertainties, the calibration of the surrogate econometric damages model, and the simulation version of the FAIR climate model are available together with the optimization outputs and the scripts for replicating the figures of the paper.</p>
Data from: Implications of landscape evolution and climate fluctuation on bird species diversification in Neotropics
<p>Among several factors proposed as drivers of species diversification in the American tropics, the riverine barriers hypothesis plays a central role in Amazonian biogeography, being observed in many species. Although the hypothesis has great evolutionary importance, some species deviate from the expected biogeographic pattern. Their evolutionary histories are better explained when considering climatic oscillations or joint action of climatic fluctuations and river dynamics. Here, we used reduced representation genome sequencing and species distribution models to better understand the implications of landscape dynamics and climate shifts on species diversification in the Neotropics. The blue-crowned Manakin (Lepidothrix coronata) has one of the widest distributions amongst Manakin, with remarkable phenotypic variation across its distribution, thus an excellent model for this sort of study. We found evidence for the existence of four, geographically structured, evolutionarily independent lineages that diverged close to the Pliocene-Pleistocene boundary. Despite distribution models indicating habitat suitability crossing the rivers, we found no evidence of gene flow between the lineages, suggesting that the diversification process was mainly triggered by vicariant events, such as the establishment of the Amazonian rivers and the rise of the northern Andes.</p>
Data from: Climatic niche lability but growth form conservatism in the African woody flora
<p><span>Climatic niche evolution during the diversification of tropical plants has received little attention in Africa. To address this, we characterized the climatic niche of >4000 tropical African woody species, distinguishing two broad bioclimatic groups (forest vs. savanna) and six subgroups. We quantified niche conservatism </span><span>versus</span><span> lability at the genus level and for higher clades, using a molecular phylogeny of >800 genera. Although niche stasis at speciation is prevalent, numerous clades individually cover vast climatic spaces suggesting a general ease in transcending ecological limits, especially across bioclimatic subgroups. </span><span>The forest biome was the main source of diversity, providing many lineages to savanna, but reverse shifts also occurred. </span><span>We identified clades that diversified in savanna after shifts from forest. </span><span>The forest-savanna transition was not consistently associated with a growth form change, though we found evolutionarily labile clades whose presence in forest or savanna is associated respectively with climbing or shrubby species diversification.</span></p>
Data from: Finding common ground: Toward comparable indicators of adaptive capacity of tree species to a changing climate
<p>Adaptive capacity, one of the three determinants of vulnerability to climate change, is defined as the capacity of species to persist in their current location by coping with novel environmental conditions through acclimation and/or evolution. Although studies have identified indicators of adaptive capacity, few have assessed this capacity in a quantitative way that is comparable across tree species. Yet, such multi-species assessments are needed by forest management and conservation programs to refine vulnerability assessments and to <span>guide the choice of adaptation measures</span>. In this paper, we propose a framework to quantitatively evaluate five key components of tree adaptive capacity to climate change: individual adaptation through phenotypic plasticity, population phenotypic diversity as influenced by genetic diversity, genetic exchange within populations, genetic exchange between populations and genetic exchange between species. For each component, we define the main mechanisms that underlie adaptive capacity and present associated metrics that can be used as indices. To illustrate the use of this framework, we evaluate the relative adaptive capacity of 26 northeastern North American tree species using values reported in the literature. Our results show adaptive capacity to be highly variable among species and between components of adaptive capacity, such that no one species ranks consistently across all components. On average, the conifer <i>Picea glauca</i> and the broadleaf <i>Betula papyrifera </i>show the greatest adaptive capacity among the 26 species we documented, whereas the conifers <i>Picea rubens </i>and <i>Thuja occidentalis</i>,<i> </i>and the broadleaf <i>Ostrya virginiana</i> possess the lowest. We discuss limitations that arise when comparing adaptive capacity among species, including poor data availability and comparability issues in metrics derived from different methods or studies. The breadth of data required for such an assessment exemplifies the multidisciplinary nature of adaptive capacity and the necessity of continued cross-collaboration to better anticipate the impacts of a changing climate.</p>
Data from: Effects of climate and topography on the diversity anomaly of plants disjunctly distributed in eastern Asia and eastern North America
<p><b>Aim: </b>Differences in physiography have been proposed to explain the diversity anomaly for vascular plants between environmentally similar regions of eastern Asia (EAS) and eastern North America (ENA). Here, we use plant species within disjunct genera to examine whether differences in topography contribute to the diversity anomaly and whether the richness–environment relationships differ between regions. Disjuncts are used to ensure that the diversity anomaly relates to post-disjunction evolution and diversification rather than regional differences in clade ages or immigration.</p> <p><b>Location: </b>EAS and ENA.</p> <p><b>Time period:</b> Current.</p> <p><b>Major taxa studied:</b> Plant taxa disjunctly distributed in EAS and ENA.</p> <p><b>Method:</b> We compiled county-level plant distribution data, and calculated species richness and variables of topography and climate within unit grid cells. We compared estimated coefficients of region effects among models, where richness was fitted with or without topography and climate. Topography and climate were also used to separately model within-region spatial diversity patterns using spatial simultaneous autoregressive error models.</p> <p><b>Results: </b>The coefficients of region effects varied from -0.776 for the model only including region to -0.309 when topography was controlled for, but remained significant. Climate dominated the spatial diversity patterns in ENA. In contrast, the influence of climate (14.2%) on species richness was weaker than that of topography (18.3%) in warm EAS. Relations to elevation and temperature varied between regions, shifting between positive and negative relationships in several cases.</p> <p><b>Main conclusion:</b> Our results demonstrate that variability in local topography contributes to the strong regional anomaly in plant species richness between EAS and ENA. Nevertheless, the diversity anomaly persists after controlling for local topography and climate. EAS and ENA also exhibit contrasting richness–environment relationships, providing another divergent aspect between the EAS-ENA disjunct floras. Our findings highlight that regional differences in topography or other environmental factors may underlie the diversity anomaly.</p>
Data from: Predicting range shifts of Davidia involucrata Ball. under future climate change
<p>Understanding and predicting how species will respond to climate change is crucial for biodiversity conservation. Here, we assessed future climate change impacts on the distribution of a rare and endangered plant species, Davidia involucrate in China, using the most recent global circulation models developed in the sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC6). We assessed the potential range shifts in this species by using an ensemble of species distribution models (SDMs). The ensemble SDMs exhibited high predictive ability and suggested that the temperature annual range, annual mean temperature, and precipitation of the driest month are the most influential predictors in shaping distribution patterns of this species. The projections of the ensemble SDMs also suggested that D. involucrate is very vulnerable to future climate change, with at least one-third of its suitable range expected to be lost in all future climate change scenarios and will shift to the northward of high-latitude regions. Similarly, at least one-fifthof the overlap area of the current nature reserve networks and projected suitable habitat is also expected to be lost. These findings suggest that it is of great importance to ensure that adaptive conservation management strategies are in place to mitigate the impacts of climate change on D. involucrate.</p>
Code and Data for "Bridging Gaps in the Climate Observation Network"
<p>The code and data used in the paper "Bridging Gaps in the Climate Observation Network: A Physics-based Nonlinear Dynamical Interpolation of Lagrangian Ice Floe Measurements via Data-Driven Stochastic Model"</p>
Data: Reduced climate adaptation at range edges in North American Arabidopsis lyrata
<p><strong><span>Aim</span></strong><span>: Species' range limits, when not caused by dispersal limitation, are the result of constraints to the evolution of the ecological niche such that further range expansion is slow or not possible. An important evolutionary constraint at range edges may be the enhanced action of genetic drift. Here we tested whether a history of small population size and enhanced genetic drift was linked with reduced adaptation at range limits.</span></p> <p><strong><span>Location</span></strong><span>: Eastern North America</span></p> <p><strong><span>Time period</span></strong><span>: 2017-2019</span></p> <p><strong><span>Taxon</span></strong><span>: <em>Arabidopsis lyrata</em> subsp. <em>lyrata</em></span></p> <p><strong><span>Methods</span></strong><span>: We performed a latitudinal transplant experiment with sites </span><span>across and beyond the species distribution of North American <em>Arabidopsis lyrata</em>. Plants originated from the centre and the periphery, and the latter shared a history of range expansion or long-term isolation and had low genetic diversity. We tested for adaptation by considering climatic variables that had previously been associated with both niche and range limits. </span></p> <p><strong><span>Results</span></strong><span>: M</span><span>ultiplicative performance of plants was lower the more different the temperature regime at the transplant sites compared to home sites was, supporting climate adaptation. However, populations performed worse only when conditions were warmer at the transplant sites and better when conditions were colder, indicating that despite divergent adaptation to climate, the species seems to prefer living in cooler areas than where it is found currently. Finally, populations with low genetic diversity had a lower performance under a climate similar to that of their home sites, and performance declined stronger under warmer conditions. </span></p> <p><strong><span>Main conclusions</span></strong><span>: Our study supports that genetic drift reduces adaptation at species' range limits, and that populations with a history of genetic drift are especially vulnerable under global warming.</span></p>
Climate data for Machine Learning based 100-year flood flow prediction model
<p>This study evaluates the application of ML technique over northeast United States regions and compares its performance to the U.S. Geological Survey (USGS) Streamflow Statistics (StreamStats)</p>
Model data - Impact of Ural blocking on early-winter climate variability under different Barents-Kara sea ice conditions
<p>Model data for JGR paper : Impact of Ural blocking on early-winter climate variability under different Barents-Kara sea ice conditions</p>
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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.