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Dataset results
64 results for “ripples”
Recording "Fast Ripples" Using Microelectrodes During Stereo-encephalography in Patients With Drug-resistant Partial Epilepsy
ClinicalTrials.gov study NCT02491476. IPD Sharing: Not stated. Countries: 1. Publications: 9.
The RIPPLE AT-PLUS Study
ClinicalTrials.gov study NCT03915691. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: Risky ripples allow bats and frogs to eavesdrop on a multisensory sexual display
Open the record for dataset details and reuse information.
Data from: Geometry of wave-formed orbital ripples in coarse sand
Using new large-scale wave-flume experiments we examine the cross-section and planform geometry of wave-formed ripples in coarse sand (median grain size D50 = 430 μm) under high-energy shoaling and plunging random waves. We find that the ripples remain orbital for the full range of encountered conditions, even for wave forcing when in finer sand the ripple length λr is known to become independent of the near-bed orbital diameter ds (anorbital ripples). The proportionality between λr and ds is not constant, but decreases from about 0.55 for ds / D50 ≈ 1400 to about 0.27 for ds / D50 ≈ 11 , 500 . Analogously, ripple height ηr increases with ds, but the constant of proportionally decreases from about 0.08 for ds / D50 ≈ 1400 to about 0.02 for ds / D50 > 8000 . In contrast to earlier observations of coarse-grained two-dimensional wave ripples under mild wave conditions, the ripple planform changes with the wave Reynolds number from quasi two-dimensional vortex ripples, through oval mounds with ripples attached from different directions, to strongly subdued hummocky-type features. Finally, we combine our data with existing mild-wave coarse-grain ripple data to develop new equilibrium predictors for ripple length, height and steepness suitable for a wide range of wave conditions and a D50 larger than about 300 μm.
The Ripple Effect of Vulnerabilities in Maven Central: Prevalence, Propagation, and Mitigation Challenges
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Supplementary material 6 from: Kayal M, Lewis H, Ballard J, Kayal E (2019) Humanity and the 21 st century's resource gauntlet: a commentary on Ripple et al.'s article "World scientists' warning to humanity: a second notice". Rethinking Ecology 4: 21-30. https://doi.org/10.3897/rethinkingecology.4.32116
: Data type: References
Supplementary material 2 from: Kayal M, Lewis H, Ballard J, Kayal E (2019) Humanity and the 21 st century's resource gauntlet: a commentary on Ripple et al.'s article "World scientists' warning to humanity: a second notice". Rethinking Ecology 4: 21-30. https://doi.org/10.3897/rethinkingecology.4.32116
: Data type: References
Supplementary material 5 from: Kayal M, Lewis H, Ballard J, Kayal E (2019) Humanity and the 21 st century's resource gauntlet: a commentary on Ripple et al.'s article "World scientists' warning to humanity: a second notice". Rethinking Ecology 4: 21-30. https://doi.org/10.3897/rethinkingecology.4.32116
: Data type: References
Supplementary material 4 from: Kayal M, Lewis H, Ballard J, Kayal E (2019) Humanity and the 21 st century's resource gauntlet: a commentary on Ripple et al.'s article "World scientists' warning to humanity: a second notice". Rethinking Ecology 4: 21-30. https://doi.org/10.3897/rethinkingecology.4.32116
: Data type: References
Supplementary material 7 from: Kayal M, Lewis H, Ballard J, Kayal E (2019) Humanity and the 21 st century's resource gauntlet: a commentary on Ripple et al.'s article "World scientists' warning to humanity: a second notice". Rethinking Ecology 4: 21-30. https://doi.org/10.3897/rethinkingecology.4.32116
: Data type: References
Supplementary material 3 from: Kayal M, Lewis H, Ballard J, Kayal E (2019) Humanity and the 21 st century's resource gauntlet: a commentary on Ripple et al.'s article "World scientists' warning to humanity: a second notice". Rethinking Ecology 4: 21-30. https://doi.org/10.3897/rethinkingecology.4.32116
: Data type: References
Supplementary material 8 from: Kayal M, Lewis H, Ballard J, Kayal E (2019) Humanity and the 21 st century's resource gauntlet: a commentary on Ripple et al.'s article "World scientists' warning to humanity: a second notice". Rethinking Ecology 4: 21-30. https://doi.org/10.3897/rethinkingecology.4.32116
: Data type: References
Supplementary material 1 from: Kayal M, Lewis H, Ballard J, Kayal E (2019) Humanity and the 21 st century's resource gauntlet: a commentary on Ripple et al.'s article "World scientists' warning to humanity: a second notice". Rethinking Ecology 4: 21-30. https://doi.org/10.3897/rethinkingecology.4.32116
: Data type: References
Data from: Geometry of wave-formed orbital ripples in coarse sand
Open the record for dataset details and reuse information.
Molecular alterations in areas generating fast ripples in an animal model of temporal lobe epilepsy
GEO Series GSE68430. Rattus norvegicus. 21 samples. Type: Expression profiling by array.
Unraveling calcium dysregulation and autoimmunity in immune mediated rippling muscle disease
GEO Series GSE280931. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
Security Analysis of Ripple Consensus (video)
Full video presentation of the paper: Security Analysis of Ripple Consensus.<br><br>Appears in Session 2 of the 24th International Conference on Principles of Distributed Systems OPODIS 2020<br><a href="https://opodis2020.unistra.fr">https://opodis2020.unistra.fr</a>
MRI raw data to publication: Fuzzy ripple artifact in high resolution fMRI: identification, cause, and mitigation.
<p>These Data are refering to the maunscript "Fuzzy ripple artifact in high resolution fMRI: identification, cause, and mitigation" authored by </p> <p>Renzo Huber1, Rüdiger Stirnberg2, A Tyler Morgan1, David A Feinberg3,4-5, Samantha J Ma6, Philipp Ehses3, Omer Faruk Gulban2,7, Kenshu Koiso2, Isabel Gephart1, Stephanie Swegle1, Susan Wardle1, Emily Ma2, Andrew Persichetti1, Alexander JS Beckett4-5, Tony Stöcker3, Nicolas Boulant8, Benedikt A Poser2, Peter Bandettini1</p> <p><strong> </strong></p> <p>1 NIMH, NIH, Bethesda, United States,</p> <p>2 German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany,</p> <p>3 Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States, </p> <p>4 Advanced MRI Technologies, Sebastopol, CA, United States,</p> <p>5 CN, FPN, University of Maastricht, The Netherlands,</p> <p>6 Siemens Medical Solutions USA, Inc., Berkeley, CA, USA,</p> <p>7 Brain Innovation, Maastricht, The Netherlands,</p> <p>8 CEA, NeuroSpin, University Paris Saclay, France.</p> <p> </p> <h1>Abstract</h1> <p><strong>Purpose:</strong> High resolution fMRI is an emerging research field focused on capturing functional signal changes across cortical layers. However, the data acquisition is limited by low spatial frequency EPI artifacts; termed as Fuzzy Ripples. These artifacts limit the practical applicability of acquisition protocols with higher spatial resolution, faster acquisition speed, and they challenge imaging in lower brain areas. </p> <p><strong>Methods: </strong>We characterize Fuzzy Ripple artifacts across commonly used sequences and distinguish them from conventional EPI Nyquist ghosts, off-resonance effects, and GRAPPA artifacts. To investigate their origin, we employ dual polarity readouts.</p> <p><strong>Results: </strong>Our findings indicate that Fuzzy Ripples are primarily caused by kx-specific imperfections in gradient trajectories, which can be exacerbated by inductive coupling between third-order shims and readout gradients. We also find that these artifacts can be mitigated through complex-valued averaging of dual polarity EPI or by disconnecting the third-order shim.</p> <p><strong>Conclusion:</strong> The proposed mitigation strategies allow for overcoming current limitations in layer-fMRI protocols: </p> <p>(1) Achieving resolutions beyond 0.8mm is feasible, and even at 3T, we achieved 0.53mm voxel functional connectivity mapping. </p> <p>(2) Temporal acquisition speed can be increased to GRAPPA 8. </p> <p>(3) Sub-millimeter fMRI is achievable in lower brain areas, including the cerebellum.</p> <p> </p>
Using Micro-filaments to Detect "fast Ripples" and Improve the Identification of the Epileptogenic Zone
ClinicalTrials.gov study NCT05254730. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Ripple Mapping for Epicardial Mapping of Brugada Syndrome
ClinicalTrials.gov study NCT03435393. IPD Sharing: NO. Countries: 3. Publications: 0.
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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.