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.
56
datasets available to search
ShareScore release 0.9.0
Dataset results
56 results for “geomorph”
Representative Hillslope Geomorphic Parameters 0.9x1.25
A dataset of global geomorphic parameters for use in land models having a representative hillslope parameterization.
Dataset of the paper "Modeling the Flow and Geomorphic Heterogeneity Induced by Salt Marsh Vegetation Patches Based on Convolutional Neural Network UNet-Flow"
<p>Modeling the Flow and Geomorphic Heterogeneity Induced by Salt Marsh Vegetation Patches Based on Convolutional Neural Network UNet-Flow</p>
Model output for "Groundwater affects the geomorphic and hydrologic properties of coevolved landscapes"
<p>Model output supporting "Groundwater affects the geomorphic and hydrologic properties of coevolved landscapes" in JGR Earth Surface, DOI:10.1029/2021JF006239. The Python package DupuitLEM v1.0-beta (DOI:10.5281/zenodo.5522828) contains the models and scripts used to generate and post-process output.</p>
Supplement - DEM of Difference Geomorphic Change Detection
<p>Using the 2013 OSMP lidar DEM and the newly created site DEMs, DEMs of difference (DODs) were calculated for each Site to show how the landscape has changed over a period of time (James et al. 2012). Because of differences in datums, datasets created here were offset from the 2013 dataset. As such, we selected five points on DODs in areas thought to be stable (e.g., bedrock outcrops), avoiding edges of rasters, as these values are not an accurate representation of the datum shift. The five points were then averaged and DODs shifted accordingly such that DODs could be interpreted as deposition (positive values), no change, or erosion (negative values). Artifacts within the Structure from Motion data made some absolute change values unreasonable. Therefore, to aid in visual interpretation of erosion and deposition, we chose to use relative change by normalizing the ranges of DOD values with the equation: “((DOD dataset – minimum value)/ (maximum value- minimum value)) - 0.5”. These values were interpreted from -0.5 (erosion) to 0 (no change) to 0.5 (deposition). DODs can be found in this repository.</p>
Geomorphic maps of candidate landing sites in northern Amazonis Planitia
<p>This folder contains four files:</p> <ul> <li>three geopackages (.gpkg files), each containing the geomorphic maps of candidate landing sites AP-1, AP-8, and AP-9 located in northern Amazonis Planitia,</li> <li>one table containing the coordinates of candidate landing sites.</li> </ul>
Localised geomorphic response to channel-spanning leaky wooden dams dataset
<p>Data associated with the preprint "Localised geomorphic response to channel-spanning leaky wooden dams".</p> <p>Contains three years of water stage, grain size evolution, bathymetric point data and planform bank profiles.</p>
Shotover River, New Zealand - Geomorphic Change Detection - Example Dataset
<p>A simple<a href="https://gcd.riverscapes.net/Tutorials/example-data-sets.html"> Example GCD Dataset </a>illustrating topographic change detection on the fan of the Shotover River. Great for illustrating GCD with rather large datasets.</p> <ul> <li>2.5km gravel bed, braided river near <a href="https://www.google.com/maps/place/45%C2%B000'35.1%22S+168%C2%B045'56.3%22E/@-45.0103208,168.7612985,3923m/data=!3m1!1e3!4m5!3m4!1s0x0:0x0!8m2!3d-45.009756!4d168.765638">Queenstown, New Zealand</a></li> <li>Two LiDAR surveys</li> <li>1m cell resolution</li> </ul> <p>Dataset includes raw data to run exercises, as well as full *.gcd projects that can be opened. </p>
River Dee, Scotland - Geomorphic Change Detection - Example Dataset
<p>A simple<a href="https://gcd.riverscapes.net/Tutorials/example-data-sets.html"> Example GCD Dataset </a>illustrating topographic change detection following a major flood in Scotland. Used in the <a href="https://gcd.riverscapes.net/Workshops/2018/Aberdeen/">GeoTerm Aberdeen Workshop</a>.</p> <p>Dataset is from:</p> <ul> <li>6km of channel near <a href="https://www.google.com/maps/place/57%C2%B002'53.9%22N+3%C2%B003'09.3%22W/@57.0490441,-3.0938372,8093m/data=!3m1!1e3!4m5!3m4!1s0x0:0x0!8m2!3d57.048317!4d-3.052569">Ballater, Scotland</a></li> <li>Two LiDAR surveys</li> <li>1m cell resolution</li> </ul> <p>Dataset includes raw data to run exercises, as well as full *.gcd projects that can be opened. </p>
Model output for "Catchment coevolution and the geomorphic origins of variable source area hydrology"
<p>Model output supporting "Catchment coevolution and the geomorphic origins of variable source area hydrology" for submission to Water Resources Research. The Python package DupuitLEM v1.1-alpha (DOI: 10.5281/zenodo.7620978) contains the models and scripts used to generate and post-process output.</p>
Fish occurrence data with geomorphic and climatic covariates
Open the record for dataset details and reuse information.
Data from: Geologic and geomorphic controls on rockfall hazard: how well do past rockfalls predict future distributions?
Open the record for dataset details and reuse information.
Stable isotope signatures of soil nitrogen on an environmental-geomorphic gradient within the Congo Basin
<p>Stable isotope signatures of soil N of three different forest types within the Congo Basin. </p>
Data from: The influence of geomorphic processes on plant distribution and abundance as reflected in plant tolerance curves
Ecologists describe plant distribution using direct gradient analysis, by which a tolerance curve of species abundance is described along an environmental gradient (any environmental variable that affects plant distribution). Soil moisture is generally the gradient in low relief areas that explains the most variation. Traditional direct gradient analyses have used terrain structure (i.e. transects up or down hillslopes) as a correlate to soil moisture. Here we use a numerical tectonic and geomorphic process-based landscape development model to create two landscapes with different geomorphic characteristics (i) to demonstrate the influence of geomorphic processes on soil moisture patterns and plant distribution and (ii) to evaluate the effectiveness of transects in describing moisture gradients and tolerance curves on landscapes dominated by creep or overland flow. We use a topographic index to approximate the distribution of soil moisture as it is determined by the shape of these different landscapes. Transects are placed on hillslopes in each model landscape and used to construct tolerance curves. Results show that transect methods that use the distance from the channel to the ridgeline as an approximation of soil moisture create variable tolerance curves for the same plant both within a single landscape and between different landscapes. The reason for these differences is that transects do not take into account the 3-dimensional landscape form that explains water movement. Landscapes have regions of convexity and flow path divergence and regions of concavity and flow path convergence which, along with hillslope length, determine contributing area. In addition, hillslope curvature results in varying capacities to retain water. However, when the topographic index is used instead of hillslope transect position, tolerance curves from the same and different landscapes reflect the differences the topographic structure has on soil moisture. We thus show that traditional methods of direct gradient analysis are not always adequate as they do not tend to consider that soil moisture depends on hillslope length, curvature, and slope. Furthermore, we show that within and between landscapes there are differences in spatial distributions of soil moisture that are reflections of the geomorphic processes that created them.
Fig. 3 in Geomorphic morphometric differences between populations of Speyeria diana (Lepidoptera: Nymphalidae)
Fig. 3. Procrustes transformation on hind wing landmarks, correcting for variation due to differences in pinned specimen orientation. Before Procrustes on lef, afer Procrustes on right.
Data from: The influence of geomorphic processes on plant distribution and abundance as reflected in plant tolerance curves
Open the record for dataset details and reuse information.
High Mountain Asia 30m and 8m Flood Geomorphic Potential V001
This data set contains Flood Geomorphic Potential (FGP) at 30 m resolution for the High Mountain Asia region and 8 m resolution over Nepal. FGP is a digital elevation model-derived index that provides high-resolution flood mapping based on bankfull elevations, defined in terms of river widths, and elevation differences between points under examination and the closest bankfull elevations in the river network.
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.