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.
52
datasets available to search
ShareScore release 0.9.0
Dataset results
52 results for “Warning signal”
Data from: Early warning signals and the prosecutor's fallacy
Open the record for dataset details and reuse information.
Data from: Maternal effects and warning signal honesty in eggs and offspring of an aposematic ladybird beetle
Open the record for dataset details and reuse information.
Data from: Biased generalization of salient traits drives the evolution of warning signals
Open the record for dataset details and reuse information.
Data from: Relation between stability and resilience determines the performance of early warning signals under different environmental drivers
Open the record for dataset details and reuse information.
Data from: Warning signal brightness variation: sexual selection may work under the radar of natural selection in populations of a polytypic poison frog
Open the record for dataset details and reuse information.
Data from: Early warning signals of extinction in deteriorating environments
Open the record for dataset details and reuse information.
Data from: Dynamical state transitions into addictive behaviour and their early-warning signals
Open the record for dataset details and reuse information.
Data from: No early warning signals for stochastic transitions: insights from large deviation theory
[No abstract entered]
NDVI time series - early warning signals
<p>Many freshwater forested wetlands along the southeastern U.S. coastline are rapidly transitioning from forest to marsh or open water, due to climate change related disturbances, such as saltwater intrusion and increasing flooding frequency. These changes in wetland state are considered a regime shift, and the timing and trajectory of change are not well understood. Recent studies have found early warning signals (EWS) of regime shifts in other ecosystems, but it is unclear if these can be detected for coastal wetlands.</p> <p>In this study, we examined the ability to detect EWS of regime shifts in coastal wetlands within the Albemarle Pamlico peninsula, North Carolina, U.S.A. We used 35 years of the Landsat record to examine trends and variance of normalized difference vegetation index (NDVI) time series for selected areas known to have undergone regime shifts.</p> <p>We found that NDVI time series trends combined with changes in standard deviation of NDVI allowed us to identify four scenarios of change for coastal wetlands: 1) unstable transitioning; 2) gradual transition (declining); 3) unstable re-vegetated (recovering); and 4) stable vegetated. At the landscape scale within the Albemarle Pamlico peninsula, we found that approximately 114,294 ha (40%) of natural wetlands are considered stable, while 77,732 ha (27%) are areas are re-vegetating following a disturbance (mostly fires). We also found that 39,828 ha (14%) experienced a regime shift with an abrupt change, while 24,092 ha (8.5%) are forests gradually shifting to marshes.</p> <p><i>Syntheses and applications: </i>Our results suggest that the transition from a forest to a marsh can occur both rapidly and slowly, and remote sensing of NDVI time series can help identify ecosystem trajectories. Remote sensing provides the ability to measure and monitor the resilience of ecosystems, identify trajectories of change, and opens windows of opportunity for intervention, and prioritization of conservation/restoration of coastlines, all of which will become more important in the face of climate change and sea level rise.</p>
Data from: No early warning signals for stochastic transitions: insights from large deviation theory
Open the record for dataset details and reuse information.
NDVI time series - early warning signals
Open the record for dataset details and reuse information.
Dataset for Fingerprints and early-warning signals of AMOC change
<p>This is the data used for the publication:</p> <p>Jackson, L.C. and R.A Wood (2020): Fingerprints and early-warning signals of AMOC change. Journal of Climate</p> <p>Most netcdf files contain timeseries of the different metrics examined. The name of the netcdf file is the metric name. Within these files are 1D variables of the metric for each experiment in the form varname_expname and separate variables for the times (in years).</p> <p>Exceptions to this are:</p> <p> SST_maps.nc with the 2D maps of SST shown in Fig 7</p> <p> eof_temp400m.nc with the first eof of the 400m temperature in the control also shown in Fig 7</p> <p> </p> <p> </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.