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.
3
datasets available to search
ShareScore release 0.9.0
Dataset results
3 results for “Ruggedness”
Data from: Topographic ruggedness and rainfall mediate geographic range contraction of a threatened marsupial predator
Aim: Species range contractions are increasingly common globally. The niche reduction hypothesis posits that geographic range contractions are often patterned across space owing to heterogeneity in threat impacts and tolerance. We applied the niche reduction hypothesis to the decline of a threatened marsupial predator across northern Australia, the northern quoll (Dasyurus hallucatus). Location: Northern Australia Methods: We assembled a data base containing 3178 historic and contemporary records for northern quolls across the extent of their distribution dating between 1770 and 2019. Based on these records, we estimated changes in the geographic range of the northern quoll using α-hulls across four main populations. We then examined how range contractions related to factors likely to mediate the exposure, susceptibility, or tolerance of northern quolls to threats. Result: The extent of range contractions showed an east-west gradient, most likely reflecting the timing of spread of introduced cane toads (Rhinella marina). There were clear changes in environmental characteristics within the contemporary compared to the historic geographic range, with the most substantial occurring in populations that have suffered the greatest range contractions. The contemporary range is comprised of higher quality habitats (measured using environmental niche models), characterized by higher topographical ruggedness and annual rainfall, and reduced distance to water, compared to the historic range. Main conclusions: Changes to range and niche likely reflect the capacity of complex habitats to ameliorate threats (namely predation and altered fire regimes), and access to resources that increase threat tolerance. This study highlights the multivariate nature of ecological refuges, and the importance of high-quality habitats for the persistence of species exposed to multiple threats. Our methods provide a useful framework which can be applied across taxa in providing valuable insight to management.
Impact of landscape ruggedness on performance modeling
<p>Previous efforts in our community has been focusing on developing new performance models, whereas little efforts are devoted to interrogate the bottlenecks of existing approaches. Here we demonstrate the accuracy of predictive models in fitting configuration performance can heavily rely on the ruggedness of the underlying.</p> <p>The set of plots presented here depicts the R2 score of a XGBoost regressor fitting on the configuration data of an entire landscape against the number of local optima/autocorrelation of each landscape. Each point in each subplot represents a workload, with the x and y values showing the R2 score and the number of local optima/autocorrelation of the corresponding landscape. A linear regression fit linear, along with 95% confidence interval of the fit, as well as Spearman's p, are also shown in the plots. </p> <p>From the results, it is very clear to see that the accuracy of the fit is significantly correlated with the ruggedness of the landscape, despite we have employed the same model. Notably, on LLVM, the R2 score can drop from nearly 0.9 all the way down to around 0.2 with the increase in landscape ruggedness.</p> <p>Therefore, local optima and landscape ruggedness can be play a critical role in performance modeling, which have not been previously reported. We intend to add this finding to the main text, since it can potentially inspire new performance modeling methods that can tackle rugged landscapes.</p>
Data from: Topographic ruggedness and rainfall mediate geographic range contraction of a threatened marsupial predator
Open the record for dataset details and reuse information.
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.