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.
9
datasets available to search
ShareScore release 0.7.1
Dataset results
9 results for “patch shape”
Patch quality and genotype-by-environment interactions shape dispersal and post-settlement survival in a butterfly metapopulation
Active dispersal is driven by extrinsic and intrinsic factors at the three stages of departure, transfer, and settlement. Most empirical studies capture only one stage of this complex process, and knowledge of how much can be generalized from one stage to another remains unknown. Here we use genetic assignment tests to reconstruct dispersal across five years and 232 patches of a butterfly metapopulation. We link individual dispersal events to weather, landscape structure, size and quality of patches, and individual genotype to identify the factors that influence the three stages of dispersal and post-settlement survival. We found that nearly all tested factors strongly affected departure probabilities, but that the same factors explained very little variation in realized dispersal distances. Surprisingly, we found no effect of dispersal distance on post-settlement survival. Rather, survival was influenced by weather conditions, carry-over effects of natal patch quality, and a strong interaction between genotype and occupancy status of the settled patch, with more mobile genotypes having higher survival as colonists rather than as immigrants. Our work highlights the multicausality of dispersal and that some dispersal costs can only be understood by considering extrinsic and intrinsic factors and their interaction across the entire dispersal process.
Research data for: On the persistent shape and coherence of pulsating auroral patches
<p>Data for the research article: On the persistent shape and coherence of pulsating auroral patches in Journal of Geophysical Research: Space physics. For example all-sky imager movies of 557.7 nm pulsating/fluctuating aurora on 1 March 2012. </p>
Patch quality and genotype-by-environment interactions shape dispersal and post-settlement survival in a butterfly metapopulation
Open the record for dataset details and reuse information.
Patch quality and habitat fragmentation shape the foraging patterns of a specialist folivore
<p><span>Research on use of foraging patches has focused on why herbivores visit or quit patches, yet little is known about visits to patches over time. Food quality, as reflected by higher nutritional quality and lower plant defences, and physical patch characteristics, which offer protection from predators and weather, affect patch use and hence should influence their revisitation. Due to the potentially high costs of moving between patches, fragmented habitats are predicted to complicate foraging decisions of many animals. We aimed to determine how food quality, shelter availability and habitat fragmentation influence tree reuse by a specialist folivore, the koala, in a fragmented agricultural landscape. We GPS- tracked 23 koalas in northern New South Wales, Australia and collated number of revisits, average residence time, and average time-to-return to each tree. We measured tree characteristics including food quality (foliar nitrogen and toxic formylated phloroglucinol compounds, FPCs concentrations), tree size and tree connectedness. We also modelled the costs of locomotion between trees. Koalas re-visited isolated trees with high leaf nitrogen disproportionately often. They spent longer time in trees with high leaf nitrogen, and in large trees used for shelter. They took longer to return to trees with low leaf nitrogen. Tree connectivity reduced travel costs between patches, being either individual or groups of trees. FPC levels had no detectable effect on patch revisitation. We conclude that food quality and shelter drive koala tree re-visits. Scattered, isolated trees with nutrient-rich leaves are valuable resource patches for koalas despite movement costs to reach them. </span></p>
Patch quality and habitat fragmentation shape the foraging patterns of a specialist folivore
Open the record for dataset details and reuse information.
A plumage patch signaling occupancy is shaped by social environment
Open the record for dataset details and reuse information.
Fast wavefront shaping for two-photon brain imaging with multi-patch correction - raw datas
<p>Raw stack images for the main figures of the paper: "Fast wavefront shaping for two-photon brain imaging with multi-patch correction" </p>
Data from: Patch dynamics and temporal dispersal partly shape annual plant communities in ephemeral habitat patches
Open the record for dataset details and reuse information.
Data from: Predator-prey interactions shape thermal patch use in a newt larvae-dragonfly nymph model
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.