Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
12
datasets available to search
ShareScore release 0.9.0
Dataset results
12 results for “contemporary climate”
Climate and habitat type interact to influence contemporary dispersal potential in Prairie Smoke (Geum triflorum)
<p>Understanding dispersal potential, or the probability a species will move a given distance, under different environmental conditions is essential to predicting species' ability to move across the landscape and track shifting ecological niches. Two important drivers of dispersal ability are climatic differences and variation in local habitat type. Despite the likelihood these global drivers act simultaneously on plant populations, and thus dispersal potential is likely to change as a result, their combined effects on dispersal are rarely examined. To understand the effect of climate and varying habitat types on dispersal potential, we studied <em>Geum triflorum</em> - a perennial grassland species that spans a wide range of environments, including both prairie and alvar habitats. We explored how the climate of the growing season and habitat type (prairie vs alvar) interact to alter dispersal potential. We found a consistent interactive effect of climate and habitat type on dispersal potential. Across prairie populations, an increased number of growing degree days favored traits that increase dispersal potential, or the probability of dispersing farther distances. However, for alvar populations, dispersal potential tended to decrease as the number of growing degree days increase. Our findings suggest that under continued warming, populations in prairie habitats will benefit from increased gene flow, while alvar populations will become increasingly segregated, with reduced potential to track shifting fitness optima.</p>
Data from: Hydrology induces intraspecific variation in freshwater fish morphology under contemporary and future climate scenarios
<p>Datasets for manuscript "Andres, K. J., Chien, H., and Knouft, J. H. Hydrology induces intraspecific variation in freshwater fish morphology under contemporary and future climate scenarios. Science of the Total Environment. <a href="https://doi.org/10.1016/j.scitotenv.2019.03.292">https://doi.org/10.1016/j.scitotenv.2019.03.292</a>"</p> <p>landmarks.zip: landmarks digitized on images of 1081 specimens using TpsDig2 software.</p> <p>streamflow_estimates.csv: Contemporary (1980-2009) and future (2070-2099) streamflow estimates [avg: average annual streamflow discharge (m3 s-1); cv: coefficient of variation of annual discharge] in sub-basins containing populations of 6 minnow species in IL, USA</p>
Climate and habitat type interact to influence contemporary dispersal potential in Prairie Smoke (Geum triflorum)
Open the record for dataset details and reuse information.
Long-term monitoring reveals forest tree community change driven by atmospheric sulfate pollution and contemporary climate change
Aim: Montane environments are sentinels of global change, providing unique opportunities to assess impacts on species diversity. Multiple anthropogenic stressors such as climate change and atmospheric pollution may act concurrently or synergistically in restructuring communities. Thus, a major challenge for conservation is untangling the relative importance of different stressors. Here, we combine long-term monitoring with multivariate community modeling to estimate the anthropogenic drivers shaping forest tree diversity along an elevational gradient. Location: Camels Hump Mountain, Vermont, USA Methods: We used Generalized Dissimilarity Modelling (GDM) to model spatial and temporal turnover in beta diversity along an elevational gradient over a 50-year period, and tested for spatiotemporal shifts in density and elevational distribution of individual species. GDMs were used to predict community turnover as non-linear functions of changes in elevation, climate and atmospheric pollution. Results: We observed significant shifts in elevational range and density of individual species, which contributed to an overall reduction in the elevational gradient in beta diversity through time. GDMs showed the combined effects of sulfate deposition and temperature as drivers of this temporal reduction in beta diversity. Spatiotemporal changes differed among species, with shifts observed both up and downslope. For example, in a reversal of a previous upslope range contraction, red spruce (Picea rubens Sarg.) increased in density and shifted downslope since the 1990's, occupying warmer, drier climates. Main conclusion: Our results demonstrate that global change is impacting the stratification of forest tree diversity along elevational gradients, but the responses of individual species are complex and variable in direction. We suggest abiotic drivers may directly impact individual species while also indirectly altering species interactions along elevational gradients. Our approach modelling the drivers of compositional turnover quantifies the rate and amount of change in beta diversity along environmental gradients, and serves as a powerful complement to studying species-specific responses.
Compensating for climate change-induced cue-environment mismatches: evidence for contemporary evolution of a photoperiodic reaction norm in Colias butterflies
Open the record for dataset details and reuse information.
Data from: Combining past and contemporary species occurrences with ordinal species distribution modeling to investigate responses to climate change
Open the record for dataset details and reuse information.
Long-term monitoring reveals forest tree community change driven by atmospheric sulfate pollution and contemporary climate change
Open the record for dataset details and reuse information.
DATA FOR: Contemporary tree growth shows altered climate memory
<p><strong>All data (1-4) is publicly available either through the ITRDB, PRISM, or the WestWideDroughtTracker.</strong></p> <p>1. ITRDB sites used in the ITRDB network analysis.</p> <p>2. PRISM (PPT, TEMP) and WWDT (scPDSI) data used in the ITRDB network analysis.</p> <p>2. ITRDB sites used in the Ecologically sampled network analysis.</p> <p>4. PRISM (PPT, TEMP) and WWDT (scPDSI) data used in the Ecologically sampled network analysis.</p> <p>5. An organized data object to run the ITRDB network rjags model; this is an R "list" object readable into R with the "load()" function.</p> <p>6. Additional code for the analysis presented in Fig. 6 in the main text, including monitoring of the "short" antecedent covariate within the model.</p>
Data from: Predicting contemporary range-wide genomic variation using climatic, phylogeographic and morphological knowledge in an ancient, unglaciated landscape
Open the record for dataset details and reuse information.
Data from: Contemporary climate-driven range shifts: putting evolution back on the table
As the climate continues to change, species are moving to track their historical niches. Although we are gaining a clearer picture of where and how quickly species ranges are moving, a mechanistic understanding of these changes is still nascent. Evolutionary changes in ranges and range-limiting traits over contemporary timescales has received relatively little attention, possibly due to the mismatch in scale between rapid contemporary range shifts and the historical evolution of species ranges over millions of years. But recent experimental work has shown that range-limiting traits can evolve rapidly over decadal timescales, effectively putting evolution back on the table towards the goal of a mechanistic understanding of contemporary range shifts. Here I review the role of evolution in shaping range shift responses to recent climate change from the perspective of the past (shared evolutionary history, or phylogenetic signal in range shifts and range-limiting traits), present (variation in range-limiting traits), and future (incorporating evolution of range-limiting traits into range forecasts from species distribution models). In each of these areas, I found a critical role for evolution in understanding historical constraints and future changes in species ranges over contemporary timescales: shared evolutionary history may constrain range shift responses for some taxa; compensatory mechanisms of phenotypic plasticity and adaptive evolution can modulate the range shift response; and incorporating evolution into species distribution models can qualitatively alter forecasts of future range shifts. Yet, more can be done in this context, and so I conclude by outlining near- and long-term goals for improving our understanding of the role of evolution in shaping species ranges in a rapidly changing world.
Data from: Contemporary climate-driven range shifts: putting evolution back on the table
Open the record for dataset details and reuse information.
Data for: Extreme shifts in habitat suitability under contemporary climate change for a high-Arctic herbivore
<p>Data and code associated with MaxEnt analyses to quantify shifts in habitat suitability of muskoxen in the Northeast Greenland National Park. Details on how to use the files are provided in the README.docx file</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.