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11,506 results for “Dynamics”
mTAIL-seq reveals dynamic poly(A) tail regulation in oocyte-to-embryo development
GEO Series GSE83732. Homo sapiens; Drosophila melanogaster. 37 samples. Type: Expression profiling by high throughput sequencing.
Nucleosome dynamics render heterochromatin generally accessible in living human cells (RNA-seq)
GEO Series GSE292647. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Mapping the Spatial Dynamics of the Human Oral Mucosa in Chronic Inflammatory Disease
GEO Series GSE206621. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing; Other.
Estimation of Water Volume in Ungauged, Dynamic Floodplain Lakes_GRL
<p>"Estimated level and storage *****.xls" contains estimated water levels, estimated volume, and relative accuracy of 77 floodplain lakes. They are stored in 7 files, each of which contains the observations of 11 lakes. </p> <p>"Gauge data_Dahuchi.xls" contains the water level measurements of Dahuchi in 2016.</p> <p>"Gauge data_Shahu.xls" contains the water level measurements of Shahu in 2016.</p> <p> </p>
Dynamic Ligand Impacts on Dissolved Iron Distributions in a Global Ocean Biogeochemical Model
<p>Annual mean CESM ocean output files on the coarse resolution gx3v7 grid.<br> Archived here in support of the paper submitted to JAMES by<br> Sherman et al. "Dynamic Ligand Impacts on Dissolved Iron Distributions in a<br> Global Ocean Biogeochemical Model".</p> <p> </p> <p>gdev.450 = dynamic ligand<br> gdev.457 = constant ligand = 1 nM<br> gdev.460 = implicit ligand</p> <p>gdev.458 = dynamic ligand + Sol Fe Depo X3<br> gdev.459 = constant ligand = 1 nM + Sol Fe Depo X3<br> gdev.461 = implicit ligand + Sol Fe Depo X3</p>
Replicating dynamic humerus motion using an industrial robot dataset
<p>This dataset encompasses all of the data utilized to replicate humeral kinematics, as captured via skin marker motion capture, on a FANUC M20ia industrial robot. The activities replicated include 119 jumping jacks, 15 jug lifts, 105 jogging trials, and 15 rapid internal rotation trials. An Optotrak Certus optical tracking system was utilized to record the kinematics of the humerus as actuated by the robot (also included in this dataset) in order to compare the robotically replicated trajectories against the motion capture trajectories. This dataset is intended to accompany the "Mocap to Robot" software package that provides an algorithmic pipeline for mapping motion capture trajectories to robotically replicated motion.</p> <p>Related publication can be found at: <a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0242005">https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0242005</a></p>
A1904 molecular dynamics trajectories data
<p>Molecular dynamics (MD) trajectories of water solutions of eight zwitterionic amino-acids (L- form) glycine (GLY), alanine (ALA), proline (PRO), threonine (THR), leucine (LEU), glutamine (GLN), histidine (HIS) and tyrosine (TYR) using various force field (OPLS-AA, Amber99ff-SB, GROMOS96 54a7, CHARMM19) and water model (SPC/E, TIP3P) combinations.</p> <p>OPLS-AA molecular dynamics (MD) trajectories for alanine (ALA), leucine (LEU), glutamine (GLN), and tyrosine (TYR) varying the values of major force field parameters: charge on all amino acid atoms, bond length (all amino acid bonds), Lennard-Jones potential epsilon parameter and stiffness of bond angles. </p>
Dynamics of lithospheric overturns and implications for Venus' surface
<p>The files in this archive are the input parametric files implemented in StagYY and the output crustal thickness and surface age diagnostics along with topography and geoid datasets for chosen cases in the main manuscript titled 'Dynamics of lithospheric overturns and implications for Venus' surface'.</p>
Supplementary Data: Cloud-based multi-dimensional parallel dynamic programming algorithm for a hydropower station system
<p>The files in this record contain data for cloud-based multi-dimensional parallel dynamic programming algorithm for a hydropower station system considered for publication in Water Resources Research.</p> <p>The files consist of:</p> <ul> <li>cascade reservoir system data;</li> <li>Source code and results of the parallel dynamic programming algorithm program on the physical machine;</li> <li>Source code and results of the parallel dynamic programming algorithm program on the cloud virtual machine;</li> </ul>
A pore-scale 3D dynamic morphological modeling and physical characterization of hydrate-bearing sediment based on computed tomography images
<p><strong>Introduction</strong></p> <p>This supporting information includes one figure S1, which is the representative elemental volume (REV) used in this study. And the figure S1 is consisted of 300 slices with a voxel size of 4.4 μm. There are two phases in the REV: the sand and the pore.</p> <p> </p> <p>Figure S1 is uploaded with file name Figure S1-REV300.am, which is the representative elemental volume (REV) used in this study</p>
VEGF modulates the neural dynamics of hippocampal subregions in cerebral ischemia rats
<p>This is a dataset of the research article "VEGF modulates the neural dynamics of hippocampal subregions in cerebral ischemia rats ". </p>
Additional insights into Key Determinants for Adenosine 1 Receptor Antagonists Selectivity using Supervised Molecular Dynamics Simulations
<p>Adenosine receptors (ARs), like many other G protein-coupled receptors (GPCRs), are targets of primary interest in drug design. However, one of the main limits for the development of drugs for this class of GPCRs is the complex selectivity profile usually displayed by ligands. Numerous efforts have been done for clarifying the selectivity on ARs, leading to the development of many ligand-based models. The structure of the AR subtype A<sub>1</sub> (A<sub>1</sub>AR) has been recently solved, providing important structural insights. In the present work, we rationalized the selectivity profile of two selective A<sub>1</sub>AR and A<sub>2A</sub>AR antagonist investigating their recognition trajectories obtained by Supervised Molecular Dynamics from unbound state and monitoring the role of the water molecules in the binding site.</p>
Subfossil oribatid mite communities indicate Holocene permafrost dynamics in Canadian mires
<p>Original data for article "Subfossil oribatid mite communities indicate Holocene permafrost dynamics in Canadian mires". Oribatid subfossil data from two permafrost mires in Hudson Bay Lowlands, Canada.</p>
Pore-scale 3D dynamic morphological modeling and physical characterization of hydrate-bearing sediment based on computed tomography images
<p>This supporting information includes one Figure-S1-REV300, which is the representative elemental volume (REV) used in this study. And the Figure-S1-REV300 is 300*300*300 with a voxel size of 4.4 μm. There are two phases in the REV: the sand and the pore.</p> <p>Figure S1 is uploaded with file name Figure S1-REV300.tif, which is the representative elemental volume (REV) used in this study</p>
The error in Bayesian phylogenetic reconstruction under diversification dynamics with simultaneous speciation events
<p>Dataset for 'The error in Bayesian phylogenetic reconstruction under diversification dynamics with simultaneous speciation events', by Laudanno, Bilderbeek & Etienne</p>
Data related to manuscript titled "Heterogeneous dynamics in partially disordered proteins"
<p>Data related to manuscript titled "Heterogeneous dynamics in partially disordered proteins" by Virtanen et al.</p>
Water level response in wells to dynamic shaking in confining unconsolidated sediments: a laboratory study
<p class="15"><span>This article focuses on laboratory experiments designed to investigate the influence of dynamic shaking on water level fluctuation in wells of unconsolidated sediments. A large flume filled with natural sandy sediments was subjected to horizontal dynamic loading at different frequencies (0.5-15Hz) and accelerations (0.1g, 0.15g, 0.25g and 0.5g), generated by a shaking table. Thus, the change in characteristics of the water and saturated sediments were investigated, including how water level and hydraulic properties changed over time, are of significant interest. A range of water level changes following the oscillating pore pressure for hydrostatic and hydrodynamic (flowing) conditions were observed: oscillation, step-rise, step-rise with oscillation, and step-drop with oscillation, similar to those observed in nature after earthquakes. We find that water level declines occur when the imposed frequency is less than 2Hz, while the acceleration has weak correlation on the water level change when it is less than 0.5g. Sinusoidal wave propagation reduces hydraulic conductivity first sharply which then stabilizes at a constant value with a slight increase. Heterogeneous consolidation, mechanical resonance, compaction, dilation, and re-packing of the grain structure may constitute a physically plausible mechanism for water level fluctuations and hydraulic parameters adjustment. Laboratory experiments can therefore provide quantitative and process-oriented approach to better understand water level response to seismic waves.This article focuses on laboratory experiments designed to investigate the influence of dynamic shaking on water level fluctuation in wells of unconsolidated sediments. A large flume filled with natural sandy sediments was subjected to horizontal dynamic loading at different frequencies (0.5-15Hz) and accelerations (0.1g, 0.15g, 0.25g and 0.5g), generated by a shaking table. Thus, the change in characteristics of the water and saturated sediments were investigated, including how water level and hydraulic properties changed over time, are of significant interest. A range of water level changes following the oscillating pore pressure for hydrostatic and hydrodynamic (flowing) conditions were observed: oscillation, step-rise, step-rise with oscillation, and step-drop with oscillation, similar to those observed in nature after earthquakes. We find that water level declines occur when the imposed frequency is less than 2Hz, while the acceleration has weak correlation on the water level change when it is less than 0.5g. Sinusoidal wave propagation reduces hydraulic conductivity first sharply which then stabilizes at a constant value with a slight increase. Heterogeneous consolidation, mechanical resonance, compaction, dilation, and re-packing of the grain structure may constitute a physically plausible mechanism for water level fluctuations and hydraulic parameters adjustment. Laboratory experiments can therefore provide quantitative and process-oriented approach to better understand water level response to seismic waves.</span></p>
Investigation of Dynamic Fracture of Elastomers - IIb
<p>These set of experiments are the continuation of the investigation of dynamic fracture of Poly-Urethane elastomer; the details of which can be found <a href="https://doi.org/10.5281/zenodo.4034638">here</a> and <a href="http://doi.org/10.5281/zenodo.4040507">here</a>. Currently, a different geometry has been investigated to study the effect of geometry on the crack speeds when inertial effects cannot be neglected.</p> <p>The data consists of images from a High Resolution (HR) camera and a High Speed (HS) camera. The test protocol is similar to the one from the above link and the specimen is 200 mm long, 60 mm tall and 3 mm thick. The name of the folder corresponds to the stretch level of the specimen before the introduction of a crack.</p>
Cytosolic crowding drives the dynamics of both genome and cytosol in Escherichia coli challenged with sublethal antibiotic treatments
<p>Datasets used in the publication:<br> "Cytosolic crowding drives the dynamics of both genome and cytosol in Escherichia coli challenged with sublethal antibiotic treatments". <br> The archives are named according to the treatment administered and contain microscopy images of the chromosomal locus ORI2.<br> 21 fields of view were imaged for 45s at a 9.6 frame rate per second (producing 442 images) every 20 minutes for up to two hours. <br> The number after "Scan" indicates the 20 minutes intervals (1 to 6 meaning 20 to 120 minutes). The number after "Position" indicates the field of view (1 to 21). Each of these folders contains 442 images. <br> <br> Every archive also contains phase contrast images, which are in the folders containing PhC (for Phase Contrast) in the name. Each of these folders contains 21 folders (one for each position) which in turn contain 6 images, taken at the beginning of the aforementioned 45s intervals.</p> <p>Due to space limitations, we could only upload one experiment (out of 3 replicates) from only one of the 3 markers (Ori, Ter and cytoplasmic). The remaining data is available upon reasonable request from the corresponding author of the publication.<br> <br> The Excel files contain data points values and raw measurements for the plots given in Fig. 2, 6A, 6B, 6D and SI11B&C and SI12.</p> <p>The codes used to analyse the data are given at: <a href="https://github.com/ver228/bacteria-loci-tracker">https://github.com/ver228/bacteria-loci-tracker</a> </p>
Model data for "A hybrid dynamical-statistical model for advancing subseasonal tropical cyclone prediction over the western North Pacific"
<p>The dataset is the potential predictors of the statistical forecast model based on the 4 methods.</p> <p>The files in the document named "Train" are the potential predictors and TC anomalous counts for C1-C7 and TCall in the training period of 1979-2002 with 480-time points. For example, "./data/Train/M1/prepar/Obs_C1_pre-data.txt" contains 7 potential predictors of OLR, SSTA, specific humidity at 700 hPa, omega at 500 hPa, divergence and vorticity at 850hPa defined with method 1, and TC anomalous for TC of C1 prediction.</p> <p>The files named "Model_Lead*_C*_pre-data_*.txt" in "Frcst" the document are the potential predictors in the forecast period of 2003-2013 at lead times of 10, 15, 20, 25, 30, and 35 days with 220-time points. For example, "./data/Frcst/M1/prepar/Model_Lead10_C1_pre-data_00.txt" contains 7 potential predictors from the output of the FLOR model at lead 10 days initialized at Z00 time defined with method 1. Besides, "./data/Frcst/M1/prepar/Obs_C1_pre-data.txt" contains 7 potential predictors from the observation, which is the result of lead 0 days.</p>
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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.