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.
2,353
datasets available to search
ShareScore release 0.9.0
Dataset results
2,353 results for “channel”
Spliced isoforms of the cardiac Nav1.5 channel modify channel activation by distinct structural mechanisms: Molecular dynamics coordinate and trajectory files
<p>Molecular dynamics files associated with the publication: Spliced isoforms of the cardiac Nav1.5 channel modify channel activation by distinct structural mechanisms</p>
Vascular KATP channel structural dynamics reveal regulatory mechanism by Mg-nucleotides
<p>MD simulation data for vascular KATP channel focusing on Kir6.1-pore and SUR2B in the presence and absence of MgADP. </p>
Dataset of "Triggering and propagation of exogeneous sediment pulses in mountain channels: insights from flume experiments with seismic monitoring"
<p>Dataset of "Triggering and propagation of exogeneous sediment pulses in mountain channels: insights from flume experiments with seismic monitoring".</p>
Supraglacial lakes and channels in West Antarctica and Antarctic Peninsula during January 2017 - Maximum Extent
<p>The maximum extent of supraglacial lakes and channels in West Antarctica and the Antarctic Peninsula in January 2017 was produced by a Dual-NDWI (Normalised Difference Water Index) approach with thresholds. >2000 individual scenes were captured by Sentinel-2 (S2) and Landsat-8 (L8) satellite sensors during the entire month of January 2017. To obtain maximum coverage on the cloudy Antarctic Peninsula, the time period is extended to February 10, 2017 over this region.</p> <p>This dataset consists of the maximum extent of supraglacial hydrological activity during January 2017 and detailed 10,478 supraglacial features (10,223 lakes and 255 channels), with cumulative area 119.4 square km in total on the West Antarctic ice sheet and Antarctic Peninsula. In addition to the final product, the supraglacial hydrological features from both sensors (23,389 polygons for S2 and 17,571 polygons for L8) overlapping the final map are included in supplementary datasets. The supraglacial lake and channel polygons are available as digital GIS, Geographic Information System, shapefiles (.shp) and GeoJSON files as well as Google Earth format (.kmz). The code used to produce the lake and channel dataset for each sensor (S2 and L8) is implemented using Python, and can be accessed on Zenodo (<a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.5281%2Fzenodo.4906097&amp;data=04%7C01%7Ccorrd%40live.lancs.ac.uk%7Ce16045ed14e34f2cb4f108d92b70565e%7C9c9bcd11977a4e9ca9a0bc734090164a%7C0%7C0%7C637588586902880130%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000&amp;sdata=JPsWDkSk9wqxEcoxMGWzbNgleTFB1NoIFn7t0WlDg3Q%3D&amp;reserved=0">https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.5281%2Fzenodo.4906097&amp;data=04%7C01%7Ccorrd%40live.lancs.ac.uk%7Ce16045ed14e34f2cb4f108d92b70565e%7C9c9bcd11977a4e9ca9a0bc734090164a%7C0%7C0%7C637588586902880130%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000&amp;sdata=JPsWDkSk9wqxEcoxMGWzbNgleTFB1NoIFn7t0WlDg3Q%3D&amp;reserved=0</a>) . Landsat-8 and Sentinel-2 imagery are freely available at (<a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fearthexplorer.usgs.gov%2F&amp;data=04%7C01%7Ccorrd%40live.lancs.ac.uk%7Ce16045ed14e34f2cb4f108d92b70565e%7C9c9bcd11977a4e9ca9a0bc734090164a%7C0%7C0%7C637588586902880130%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000&amp;sdata=RidpbAMFz28isbZM6vNZWPMTdl3bl5OxO3SVWvBu6MQ%3D&amp;reserved=0">https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fearthexplorer.usgs.gov%2F&amp;data=04%7C01%7Ccorrd%40live.lancs.ac.uk%7Ce16045ed14e34f2cb4f108d92b70565e%7C9c9bcd11977a4e9ca9a0bc734090164a%7C0%7C0%7C637588586902880130%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000&amp;sdata=RidpbAMFz28isbZM6vNZWPMTdl3bl5OxO3SVWvBu6MQ%3D&amp;reserved=0</a>) and (<a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscihub.copernicus.eu%2F&amp;data=04%7C01%7Ccorrd%40live.lancs.ac.uk%7Ce16045ed14e34f2cb4f108d92b70565e%7C9c9bcd11977a4e9ca9a0bc734090164a%7C0%7C0%7C637588586902880130%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000&amp;sdata=lZINlehD3i%2BN%2BPSVZgSJnZa%2FruFq2vGHoEnkQGMmq%2Fg%3D&amp;reserved=0">https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscihub.copernicus.eu%2F&amp;data=04%7C01%7Ccorrd%40live.lancs.ac.uk%7Ce16045ed14e34f2cb4f108d92b70565e%7C9c9bcd11977a4e9ca9a0bc734090164a%7C0%7C0%7C637588586902880130%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000&amp;sdata=lZINlehD3i%2BN%2BPSVZgSJnZa%2FruFq2vGHoEnkQGMmq%2Fg%3D&amp;reserved=0</a>), respectively.</p> <p>The products provide a scientific benchmark to monitor the development of these features in a warming climate, and thus enhancing our capability to predict the calving and collapse of any ice shelves in the future. The results provide a baseline for future monitoring of supraglacial hydrology and can be particularly useful to train supervised machine learning algorithms. The lake and channel dataset will be valuable as training data for pixel-based or object-based approaches to map large-scale features automatically using machine learning. This dataset can also provide an a-priori lake distribution for studies incorporating synthetic-aperture radar, SAR and other sensors and platforms.</p> <p> </p>
Coupled stochastic modelling of hierarchical channel network dynamics and metapopulation persistency - Dataset
<p>Dynamic changes in the active portion of stream networks represent a phenomenon common to diverse climates and geologic settings. However, the ecological implications of river network expansions/retractions remain poorly understood owing to operational difficulties in mechanistically describing these processes at the relevant spatio-temporal scales. Here we present a novel Bayesian framework for the simulation of event-based channel network dynamics capitalizing on the concept of "hierarchical structuring of temporary streams" - a general principle to identify the activation/deactivation order of network nodes. The framework incorporates a dynamic version of a stochastic occupancy metapopulation model, and is used to analyze the impact of pulsing river networks on species persistence in different scenarios. Climate strongly controls temporal variations of the active length, influencing the preferential configuration of the active channels and the speed of network retraction during drying. We also identify a climate-dependent detrimental effect of network dynamics on species spread and persistence. This effect is enhanced by dry climates, where flashy expansions and retractions of the flowing channels induce metapopulation extinction. Survival probabilities are particularly reduced in settings where the spatial heterogeneity of network connectivity is pronounced. The proposed framework provides novel insight on the multi-faced ecological legacies of channel network dynamics.</p>
Optical trapping of micro-particles and bacterial cells in single channel and flow-focusing microfluidic devices
<p><strong>Video 1</strong> - The video shows the flow-focusing and trapping of 1.84 μm bacteria-sized particles flowing at a sample flow rate of 0.1 μL/min. The horizontal sheath flow rate 1 μL/min and the vertical sheath flow rate is 0.5 μL/min. Trapping is achieved using a maximum laser power of 250mW. </p> <p><strong>Video 2</strong> - The video shows the flow and fluorescence trapping of 1.84 μm bacteria-sized particles flowing at a flow rate of 0.013 μL/min. The channel surface is treated with pluronic F-127 to prevent cell adhesion. </p> <p><strong>Video 3</strong> - The video shows the flow and trapping of 1.84 μm bacteria-sized particles flowing at a flow rate of 1 μL/min. Increased flow rate results in continuous transient trapping of the cells is achieved at a trapping power of 250mW. The microchannel surface is not treated with pluronic F-127, therefore lot of particles stick to the channel surface. </p> <p><strong>Video 4</strong> - The video shows the flow and trapping of 1.84 μm bacteria-sized particles flowing at a flow rate of 0.013 μL/min. Trapping is achieved at a laser power of 250mW. The channel surface is treated with pluronic F-127 to prevent cell adhesion. </p> <p><strong>Video 5</strong> - The video shows the flow and trapping of <em>E. coli</em> MG1655 flowing at a flow rate of 0.013 μL/min. Trapping is achieved at a laser power of 250mW. The channel surface is treated with pluronic F-127 to prevent cell adhesion. </p> <p><strong>Video 6</strong> - The video shows the flow and trapping of <em>S. aureus</em> 6538 flowing at a flow rate of 0.013 μL/min. Trapping is achieved at a laser power of 250mW. The channel surface is treated with pluronic F-127 to prevent cell adhesion. </p>
Data and processing scripts from "Morphodynamic Preservation of Fluvial Channel Belts"
<p>This compilation contains data reported in the manuscript</p> <p>Cardenas, Lamb, Jobe, Mohrig, and Swartz, Morphodynamic preservation of fluvial channel belts.</p> <p>As of Nov 2022, this manuscript is submitted to SEPM (Society for Sedimentary Geology) journal <em>The Sedimentary Record.</em></p> <p>Compilation contains:</p> <p>(1) Table showing the edge coordinates of each channel belt in the associated manuscript.</p> <p>(2) Table showing centerline point coordinates.</p> <p>(3) Table showing all width measurements for each channel belt.</p> <p>(4) A compilation table showing representative geometric measurements for each belt.</p> <p>(5) A python script to generate paleoflow directions from centerline coordinates.</p> <p>(6) A script to generate various geometric measurements from belt edge coordinates.</p> <p>(7) A script to plot histograms of geometric measurements.</p>
Alignment used for voltage gated ion channels phylogenetic analysis
<p>Alignment (performed with MAFFT) of sequences of voltage gated ion channels used to performe the phylogenetic analysis (PhyML SMS option) present in the supplementary figures.</p>
Channelling of basal resources and use of allochthonous marine carbon by soil arthropods of the Wadden Sea salt marsh
<p>Salt marshes are located between the marine and terrestrial systems. Because they form as sediment accumulates, they comprise a gradient of shore height with differing inundation frequencies and associated abiotic soil conditions. Along this gradient, both autochthonous vascular plant resources and allochthonous marine algal or detrital resources are available, with the availability of both varying with season and salt marsh zone. However, little is known about the importance of either resource for the soil animal food web. We investigated both spatial and temporal resource use of the soil macro- and mesofauna of the salt marsh using neutral lipid fatty acids (NLFAs). Generally, irrespective of season and zone the soil animal food web relied on carbon originating from autochthonous vascular plants and associated bacteria and fungi, with the role of bacteria generally exceeding that of fungi. However, the channelling of fungal resources consistently peaked in October, whereas seasonal changes in the channelling of plant and bacterial resources varied among salt marsh zones. Further, variations in the channelling of resources with season and zone varied among salt marsh animal species. Although being only minor, allochthonous resources of marine origin contributed to soil food web nutrition across salt marsh zones and seasons. The contribution of algae to soil food web nutrition depended on inundation frequency and season, i.e. algal productivity. Overall, the results demonstrate that the salt marsh soil fauna predominantly relies on autochthonous vascular plant resources, with the contribution of allochthonous marine resources being minor and restricted to few taxa.</p>
The impact of secondary channels on the wetting properties of interconnected hydrophobic nanopores
<p>Data from Molecular Dynamics simulations.</p> <p>Files ending in .xyz are trajectory files and relate to total or partical simulation trajectories. The normal sintax is eqX.xyz where X is the imposed filling of the main cavity. </p> <p>Files ending in .dat are the "measurement" files and are the files required to compute the free energy from the simulation data. The normal sintax is eqX.dat where X is the imposed filling of the main cavity. </p> <p>Files ending in .data are LAMMPS output files. The normal sintax is eqX.data where X is the imposed filling of the main cavity. </p> <p>Other auxiliary files exist, but they are part of the analysis of the data and can be reconstructed with just the above mentioned files.</p> <p>The simulation data for specific configurations of the system is separated in different zipped files (either .tar.gz or .zip). 2A.tar.gz, 4A.tar.gz, 6A.tar.gz, 10.zip and 12.zip correspond to the configurations of lateral channels corresponding to 0.2, 0.4, 0.6,1 and 1.2 nm respectively. empty.zip and no.zip correspond to the configurations where the lateral channels where forcefully left empty (by evacuating the 6 lateral pores) and to the simple cylindrical pore with no lateral channels. all.zip, edges.zip and middle.zip correspond to the configurations of cavities with water molecules on all channel sites, only the external rings and in the middle ring, as described in the supplementary note 7.</p>
Data from: A study on the Influence of submergence ratio on the transportation of suspended sediment in a partially vegetated channel flow
<p><span>Riparian or aquatic vegetation thrives with seasons. The understanding of canopies' Submergence-Ratio SR (stems' height to water depth) influence on suspended sediments' transportation is still limited. Thus, Large Eddy Simulations (LES) coupled with the Discrete Phase Method (DPM) are used to investigate the particles' 3-dimensional distribution in a partially vegetated straight channel. The spanwise distribution of particles is quantified by the Probability Density Function (PDF), showing a non-uniformity of particles in time as quantified by the PDF variance. The findings and conclusions: (Ⅰ) With SR rising, the particles' depletion effects exerted by the vegetation-side mixing layer are improved along the interface between vegetated and vegetation-side bare channel region. However, the SR has little effect on the variance of the particles' PDF in the spanwise direction when the mixing layer is fully developed. (Ⅱ) During the developing stage of the over-canopy mixing layer, submerged vegetation with higher SR gain a stronger upwards (vertical) entrainment capability. </span><span>The case (SR=60%) has a higher sediment concentration than other cases in the fully developed vertical mixing layer region above canopy.</span><span> (III) </span><span>The vertical suspension of particles in the vegetation-side bare channel region is analysed. Particles migrating from the vegetated region are entrained into the vegetation-side bare channel region by turbulent structures. Nevertheless, the vertical concentration profile is more uniform in the vegetated region than in the vegetation-side bare channel at the same streamwise location. The cases SR=40% and 60% still have higher sediment concentrations than other cases in the vegetation-side bare channel's upper region.</span></p>
Binding of RPR260243 at the intracellular side of the hERG1 channel pore domain
<p>docking pose of RPR260243, as shown in Figure 9 of the publication "<strong>Binding of RPR260243 at the intracellular side of the hERG1 channel pore domain slows closure of the helix bundle crossing gate" </strong>in <a href="https://www.frontiersin.org/journals/698">Frontiers in Molecular Biosciences</a>, <a href="https://www.frontiersin.org/journals/all/sections/767">Structural Biology</a></p>
Supplementary Data: Global fits of vector-mediated s-channel simplified models for scalar and fermionic dark matter with GAMBIT
<p>This record contains the YAML files, data files, and some of the plotting scripts for: "Global fits of vector-mediated s-channel simplified models for scalar and fermionic dark matter with GAMBIT". The paper can be found at https://arxiv.org/abs/2209.13266.</p> <p>Samples have been created using GAMBIT and figures can be reproduced with pippi.</p>
SUMOylation of NaV1.2 channels regulates the velocity of backpropagating action potentials in cortical pyramidal neurons
<p>Voltage-gated sodium channels located in axon initial segments (AIS) trigger action potentials (AP) and play pivotal roles in the excitability of cortical pyramidal neurons. The differential electrophysiological properties and distributions of Na<sub>V</sub>1.2 and Na<sub>V</sub>1.6 channels lead to distinct contributions to AP initiation and backpropagation. While Na<sub>V</sub>1.6 at the distal AIS promotes AP initiation and forward propagation, Na<sub>V</sub>1.2 at the proximal AIS promotes backpropagation of APs to the soma. Here, we show the Small Ubiquitin-like Modifier (SUMO) pathway modulates persistent sodium current (I<sub>NaP</sub>) generation at the AIS to increase neuronal gain and the speed of backpropagation. Since SUMO does not affect Na<sub>V</sub>1.6, these effects were attributed to SUMOylation of Na<sub>V</sub>1.2. Moreover, SUMO effects were absent in a mouse engineered to express Na<sub>V</sub>1.2-Lys38Gln channels that lack the site for SUMO linkage. Thus, SUMOylation of Na<sub>V</sub>1.2 exclusively controls I<sub>NaP</sub> generation and AP backpropagation, thereby playing a prominent role in synaptic integration and plasticity.</p>
Supporting information for "Kinetics of CN(v=1) reactions with butadiene isomers at low temperature by cw-Cavity Ringdown in a pulsed Laval flow with theoretical modelling of rates and entrance channel branching
<p>This file contains the master equation inputs for all the reactions studied, as well as all the details on stationary points and VRC-TST fluxes necessary to reproduce the simulations. </p>
AALTO - Channel Characterization at Sub-THz Band with Measurements and Ray Tracing in Indoor Case - DATA
<p>The data set includes simulation results from radio propagation modelling of TERAWAY links (at 90, 95 and 100 GHz) in realistic university corridor environment. The modelling is performed using a Ray Tracing Tool developed in MATLAB environment at Aalto University. Ray tracing technique used in this tool is based on Image Theory (IT) algorithm. Unlike a quasi three-dimensional environment, it supports ray tracing in full three dimension.</p> <p>This data set contains propagation modelling results of the TERAWAY link. Output data includes (but is not limited to): Multipath component IDs, Path Distance (meter), Angle of Arrival AoA (degree), Angle of Departure AoD (degree), Direction of Arrival DoA (degree), Direction of Departure DoD (degree), E-Field (Volt/meter), H-Field (Ampere/meter), Phase (Radians), Power (Watts), Number of reflections a path experienced, Number of diffractions a path experienced, information that is it ground reflected path or not, Receiver location (x and y coordinates), information that is it rooftop path or not.</p>
20230315 ImageJ bio-format importer multi-channel ND2 bug
<p>A bug wherein ND2 images taken with different camera settings are read incorrectly by ImageJ's bio-format importer</p> <p>imageJ_test.nd2 - The ND2 file produced by NIS Elements AR on a Nikon LV100 microscope. 11 time steps, 2 channels (images taken with different filter blocks).</p> <p>test_image_ImageJ.jpg - A screenshot of Fiji/ImageJ after opening the ND2 with bio-formats importer. The number of dimensions is correct (11 time steps, two channels) but each channel is mono rather than an rgb image and the images are badly jumbled.</p> <p>test_image_metadata_ImageJ.jpg - The OME metadata of the ND2.</p> <p>test_image_movie_imageJ.avi - The ImageJ output exported as an AVI.</p> <p>test_image_NIS.jpg - A screenshot of the ND2 opened in Nikon's NIS Elements Viewer.</p> <p> </p> <p> </p> <p> </p>
Experimental data set for the article entitled "Mathematical Model of Steam Reforming in the Anode Channel of a Molten Carbonate Fuel Cell"
<p>Experimental data for the article: Szablowski, L.; Dybinski, O.; Szczesniak, A.; Milewski, J. Mathematical Model of Steam Reforming in the Anode Channel of a Molten Carbonate Fuel Cell. Energies 2022, 15, 608. The experiments were performed by the first two authors.<br> These data set refer to experiments carried out on a stand used to test high-temperature fuel cells. The subject of the study was a molten carbonate fuel cell fueled with a mixture of methane and steam with steam to carbon ratio of 2.0, 2.5, 3.0 and 3.5 and at the cell operating temperature of 550°C and 650°C. Additionally, in the anode channel of the cell, there was a catalyst in the amount of 2 g. The active area of the cell was 20.25 cm<sup>2</sup>. The article that uses these research results is published in an open access journal with a CC-BY license. This research was funded by the National Science Center, Poland (Grant number 2020/39/D/ST8/02021).</p>
Data & Code for Peak water levels rise less than mean sea level in tidal channels subject to depth convergence by deepening
<p>Data & Code for the article: "Peak water levels rise less than mean sea level in tidal channels subject to depth convergence by deepening"</p> <p>- Input-files used to run the models</p> <p>- Scripts used for the figures</p> <p>- Excel-based tool to calculate tidal response to channel deepening with system-specific parameters</p> <p>- ...</p>
FIG. 6 in Populations of a new morphotype of corrugate Lessonia Bory in the Beagle Channel, sub-Antarctic Magellanic ecoregion: a possible case of on-going speciation
FIG. 6. — MJ network of ITS1 haplotypes of Magellanic Lessonia Bory, spp. individuals.
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.