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.
2
datasets available to search
ShareScore release 0.9.0
Dataset results
2 results for “GEOMBEST++Seagrass”
VCR bay depth and seagrass shoot density data for parameterization of GEOMBEST++Seagrass
Data from the Virginia Coast Reserve relating bay fetch-depth and seagrass density-depth used to parameterize GEOMBEST++Seagrass for simulations investigating coupled barrier-marsh-bay evolution. DepthFetch data table: Length, depth, and type (seagrass or bare sediment) of all bathymetric transects used to construct the depth-fetch lookup table in the model. Transects were extracted from all VCR basins using the bathymetry from Richardson et al. (2014 doi:10.6073/pasta/63a22558d6650fae8232b6a8814a90d5), vary in length, and run with the dominant wind direction from basin margin to basin margin. ShootDensity tab: Shoot densities of restored Zostera marina plots in Hog Island Bay binned by depth for years 3-6 of seeding. Data originally from McGlathery (2013 doi:10.6073/pasta/5a6ea442cf59cabb3112bb634a968ae5). The maximum density of each bin is used as a representative shoot density based on depth.
Marsh widths from GEOMBEST++Seagrass simulations of barrier-marsh-bay evolution
Model-derived back-barrier widths from GEOMBEST++Seagrass simulations across a range of input conditions. Simulations are varied by relative sea-level rise (2-7 mm/yr), bay sediment flux (10-80 m^3/m/yr), and export flux (0-25%). All simulations ran until a total of 1 m of sea-level rise was reached. Each row in the spreadsheet represents a single unique set of model conditions, each of which was simulated both with and without the presence of seagrass. The outputs recorded are the final back-barrier marsh widths of simulations with seagrass and without, as well as the difference in marsh width between each corresponding seagrass and no seagrass run.
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.