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.
5
datasets available to search
ShareScore release 0.9.0
Dataset results
5 results for “Bi-Modal”
Lamellar and Bi-Modal Ti-64 Microstructure Images
<p>A collection of 40 optical micrographs of Titanium-64, taken from different regions of a forged billet. The images comprise two morphologies, bi-modal and lamellar. The first 20 images (Ti64_0.jpg - Ti64_19.jpg) correspond to the bi-modal morphology. The remaning 20 images (Ti64_20.jpg - Ti64_39.jpg) corrrespond to lamellar.</p> <p>This dataset was comprised to test machine learning algorithms for classification of microstructures.</p>
Data for: Bi-modal response strategy in Daphnia to ambush predation risk
<p>Predation, a well-established major selective force, can manifest through either consumptive or non-consumptive effects. The relative impact of such effects is predicted to vary depending on the predator hunting strategy. In aquatic systems, great attention has been paid to coursing predators, such as fish, and their effects on the behaviour of zooplankton. However, less information is available regarding more ambush-style predators. To remedy this paucity, we utilised a 3D-tracking platform to record groups of <em>Daphnia </em>magna under control or predation risk conditions from the ambush, invertebrate predator <em>Erythromma najas</em>. This design allowed us to test if there are anti-predator responses in multiple metrics of swimming behaviours. Furthermore, we recorded actual predation events allowing the distinction between predator exuded info-chemicals and those produced during the predation event. We demonstrate that predation risk was greatest for those that swam at 85% of the available depth and averaged 8.1 mm/s. Examining each individuals swimming behaviour separately shows that predation risk did not exert an impact on any of the prey response metrics. Interestingly, however, we show that <em>Daphnia </em>conform to one of two strategies whilst under predation risk; either swim fast high up in the water column or swim slowly close to the bottom. Hence, this dichotomous behaviour is driven by strategies combining speed and depth in different constellations. As a result, our study demonstrates that <em>Daphnia</em> can detect the presence of a predator, but not immediately the act of predation. In a broader context, our findings highlight the importance of considering both the spatial and temporal dimensions of predation events in order correctly detect anti-predator responses.</p> <p>The data here is the raw positions of each individual tracked for the above study.</p>
Data for: Bi-modal response strategy in Daphnia to ambush predation risk
Open the record for dataset details and reuse information.
How Bi-Modal are Jupiter's Main Aurora Zones?
<p>Provided here are ASCII dumps of the processed data that appears in the figure of the subject paper, which is under review for publication by the American Geophysical Union’s Journal of Geophysical Research, Space Physics. The PDF of the paper provided here serves to document the figures in question. </p> <p> </p> <p><strong>How Bi-Modal are Jupiter’s Main Aurora Zones?</strong></p> <p> </p> <p><strong>B. H. Mauk, J. R. Szalay, F. Allegrini, F. Bagenal, S. J. Bolton, G. Clark, J. E. P. Connerney, G. R. Gladstone, D. K. Haggerty, P. Kollmann, W. S. Kurth, C. P. Paranicas, </strong><strong>A. H. Sulaiman</strong></p> <p><strong>Key Points:</strong></p> <ul> <li>Zone I downward electron broadband acceleration sometimes has upward electrostatic potentials fully disappearing and other times enduring.</li> <li>Zone I potentials of 30-360 kV often disappear to < 10 kV with strong broadband electrons having characteristic energies of 100-400 keV.</li> <li>Why one process (electrostatic or broadband) is favored over the other at any one time remains unknown.</li> </ul> <p>Abstract</p> <p>Using Juno-measured >30 keV electrons, three regions with substantial UV emissions were identified previously for Jupiter’s main aurora (excluding the polar cap): low-latitude diffuse aurora, mid-latitude Zone I of downward acceleration, and higher latitude Zone II of bi-directional acceleration. Zone I, associated with upward magnetic field-aligned currents, was represented as bimodal: sometimes supporting coherent downward electron electrostatic acceleration and sometimes downward electron broadband acceleration, with broadband acceleration usually delivering the most intense electron energy flux at Juno. Recent observations of up-going ion beams within Zone I represent a challenge as to whether coherent electrostatic acceleration invariably accompanies broadband acceleration. Is this region strictly bi-modal, or is there a continuum between these two modes? We address these questions by combining multiple ion and electron data sources to diagnose electrostatic potentials both above and below the spacecraft. We find: 1) During Zone I downward electron broadband events, there are examples where evidence of downward electron electrostatic acceleration completely disappears and examples where it endures at some level. 2) Most often, evidence of downward electron electrostatic acceleration is strongly suppressed with strong downward electron broadband acceleration. Residual potentials most often (not always) have values small (<10 kV) compared to the electron characteristic energies of 100-400 keV. 3) Care must be exercised in these studies because plasmasheet electron precipitation spectra can mimic broadband acceleration spectra. At least for weaker auroral broadband accelerations, there is likely to be a continuum of electrostatic and broadband participation. Why either process is favored any one time is unknown.</p> <p> </p>
Quantitative analysis of bi-modal binding of BET proteins at promoters predicts I-BET sensitivity
GEO Series GSE120715. Homo sapiens. 88 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Other.
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.