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2,353 results for “channel”
Discovery of a potent, Kv7.3-selective potassium channel opener from a Polynesian traditional botanical anticonvulsant
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Dataset 5 of 5 from: Atomistic mechanisms of the regulation of small conductance Ca 2+ -activated K + channel (SK2) by PIP2
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Data from: Brucite-inspired ocean alkalinity enhancement alters the biogeochemistry and composition of a phytoplankton community: A Santa Barbara channel case report
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Piezo1 ion channels are capable of conformational signaling
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Disentangling complex histories of hybridisation: The genomic consequences of ancient and recent introgression in Channel Island monkeyflowers
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Structural modeling of hERG channel: Drug interactions using Rosetta
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Restored off-channel pond habitats create thermal regime diversity and refuges within a Mediterranean-climate watershed
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Elucidating molecular mechanisms of protoxin-2 state-specific binding to the human NaV1.7 channel
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Data from: Interactions of wood accumulations, channel dynamics, and geomorphic heterogeneity within a river corridor
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Parent dataset and code from: Atomistic Mechanisms of the regulation of small conductance Ca 2+ -activated K + channel (SK2) by PIP2
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Dataset 1 of 5 from: Atomistic mechanisms of the regulation of small conductance Ca 2+ -activated K + channel (SK2) by PIP2
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Data for: Channel mobility and floodplain reworking across river planform morphologies
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Dataset 4 of 5 from: Atomistic mechanisms of the regulation of small conductance Ca 2+ -activated K + channel (SK2) by PIP2
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Dataset 2 of 5 from: Atomistic mechanisms of the regulation of small conductance Ca 2+ -activated K + channel (SK2) by PIP2
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Santa Barbara Channel Marine BON: genomics study on 16S primer comparison
This project examined the effects of 16S rRNA gene primer selection on population representation and community ecology of bacteria and archaea in the Santa Barbara Channel. Four 16S rRNA primer sets targeting different hypervariable regions of the gene were compared using both mock communities of known composition constructed from cloned 16S rRNA genes and field samples covering the annual cycle. Amplicon results were compared with shotgun metagenomes prepared from a subset of the field samples. The field samples included in the comparison study are subsets of two more extensive field programs in the Santa Barbara Channel. Samples included from the Plumes and Blooms transect times-series program were collected between February 2012 and August 2014. Samples from University-National Oceanographic Laboratory Systems cruise PS1103 (Wear et al. 2015; DOI: 10.1002/lno.10042) were collected in May 2011. All datasheets represent curated, processed output of the bioinformatics pipeline. Unprocessed sequencing data are archived with the National Center for Biotechnology Information, with accession numbers specified in the individual datasheets. Four dataset entities included primer testing on a known mock community (Entity #1 and #2) as well as the application of the primers to field samples (Entity #3) and shotgun metagenomes from a subset of field samples (Entity #4): 1) Cloned 16S genes used to construct the mock community. 2) Mock community sequencing results - relative abundance of each clone with each of 4 primer sets. 3) Field sequencing results - relative abundance of operational taxonomic units (OTUs) and weighted UniFrac distance matrices. 4) Metagenome results – taxonomic identities of individual 16S rRNA sequences identified in each metagenome. The funding source for this project is: the National Aeronautics and Space Administration Biodiversity and Ecological Forecasting program (Grant NNX14AR62A), the Bureau of Ocean and Energy Management Ecosystem Studies progr
Santa Barbara Channel Coastal and Island fish survey from the Reef Check, 2006-2017
The data were collected by the Reef Check organization: https://reefcheck.org/ Every year, Reef Check trains thousands of citizen scientist divers who volunteer to survey the health of coral reefs around the world, and rocky reef ecosystems along the entire coast of California. The programs monitor rocky reefs inside and outside of California's marine protected areas (MPAs). The results are used to improve the management of these critically important natural resources. The data presented here were a subset of the data that cover the Santa Barbara Channel region, southern California, USA.
Abundance and species composition of benthic heterobranch molluscs from the Santa Barbara Channel mainland
These data are counts of heterobranch molluscs (sea slugs and allies) from rocky intertidal sites on the mainland coast of the Santa Barbara Channel. Data collection began in 2002 and 2008 at Naples Point and Tar Pits Reef, respectively, and is ongoing. Data include counts of individuals of 68 total species, presence/absence of their egg masses, and search time (as observer hours) for each sampling trip.
CSASN Channel Nutrients from 2010 to 2012 in I8 Inlet, I8 Outlet, Peat Inlet and Kuparuk Rivers
The Changing Seasonality of Arctic Stream Systems (CSASN) was active from 2010 to 2012. The CSASN goal was to quantify the relative influences of through flow, lateral inputs, and hyporheic regeneration on the seasonal fluxes C, N, and P in an arctic river network, and to determine how these influences might shift under seasonal conditions that are likely to be substantially different in the future. During the project, background samples were collected from four stream channels and analyzed for a variety of nutrients.
SBC LTER: Watersipora recruitment on offshore oil platforms in the Santa Barbara Channel, 2014-2015
These data describe the results of experiments and sampling designed to evaluate the effects of disturbance on the establishment of the non-native bryozoan Watersipora subatra on offshore oil and gas platforms in the Santa Barbara Channel, CA, USA.
WHISPER SET 1: a dataset for multi-channel, multi-device speech separation and speech enhancement
<p>This dataset is <code>WHISPER SET 1,</code> a dataset for speech enhancement and source separation recorded with a Wireless Acoustic Sensor Network (WASN) called WHISPER <a href="https://ieeexplore.ieee.org/abstract/document/8110202">Kiselev2018</a>. The dataset contains samples for up to 4 concurrent speakers and speech in noise. The dataset was recorded in a room with low reverberation (T_60 = 0.2 s) and using 16 microphones. In general, each track contains first a calibration phase where each of the speakers sequentially is active alone for 15 seconds. Followed by 15 seconds of all the speakers together (plus noise in some cases). </p> <p>If you use this dataset please cite:</p> <ul> <li><strong>E. Ceolini, I. Kiselev and S. Liu, "Evaluating multi-channel multi-device speech separation algorithms in the wild: a hardware-software solution," in <em>IEEE/ACM Transactions on Audio, Speech, and Language Processing</em>.</strong></li> </ul> <p>===</p> <p>Each sample is a 16-channel wav file in which the order of the channel follows the following logic:</p> <p>0 - module 5 mic 1 1 - module 5 mic 2 2 - module 5 mic 3 3 - module 5 mic 4 4 - module 6 mic 1 5 - module 6 mic 2 6 - module 6 mic 3 7 - module 6 mic 4 8 - module 7 mic 1 9 - module 7 mic 2 10 - module 7 mic 3 11 - module 7 mic 4 12 - module 8 mic 1 13 - module 8 mic 2 14 - module 8 mic 3 15 - module 8 mic 4</p> <p>Refer to the <a href="https://github.com/SensorsAudioINI/WHISPER_SET_1/blob/master/WHISPER4_floor_annotated.png">floor plan</a> for a visual illustration of the microphone arrangement.</p> <p>The files are divided into two subfolders, one for the samples of speech enhancement and one for the samples of speech separation.</p> <ul> <li>In the folder of speech separation, the files are divided into subfolders defining the number of speakers in the mixtures (2, 3, or 4)</li> <li>In the folder of speech enhancement, the files are divided into subfolders following the SNR of the mixture (0, -5, -10 dB)</li> </ul> <p>Samples are ordered in folders. Each sample folder contains a 15 seconds 16-channels <code>mixture.wav</code> file, plus the 15 seconds 16-channels <code>calibX.wav</code> files one for each speaker alone or noise alone in the mixture. That is a sample with a mixture with 4 speakers will have 4 calibration files (calib1.wav, calib2.wav, calib3.wav, calib4.wav) and a mixture of a speaker plus noise will have 2 calibration files one for speech (calib1.wav) and one for noise (calib2.wav).</p> <p>== </p> <p>A Jupyter notebook is included to show an example of how to use the data of this dataset for speech separation and speech enhancement using beamforming. The notebook is dependent on <a href="https://github.com/Enny1991/beamformers">this beamforming library</a> and <a href="https://github.com/Enny1991/sep_eval">this tool</a> to evaluate the quality of the separation.</p> <p>==</p> <p>Refer to the README.md in the dataset for more information.</p> <p>For any question please contact enea.ceolini@gmail.com</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.