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11,506 results for “Dynamics”
Vertical distribution and seasonal dynamics of planktonic cyanobacteria communities in a water column of deep mesotrophic Lake Geneva
Open the record for dataset details and reuse information.
Analysis Titanic Survival through Graph-Based Node with Neo4j: Unraveling Social Dynamics (Dataset & Cypher)
Open the record for dataset details and reuse information.
"Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks": Dataset
<p>This repository contains the data accompanying the paper "<em>Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks</em>", by Francesco Regazzoni, Stefano Pagani, Matteo Salvador, Luca Dedè and Alfio Quarteroni.</p> <p> </p> <p>The associated codes are available in the Github repository <a href="https://github.com/FrancescoRegazzoni/LDNets">https://github.com/FrancescoRegazzoni/LDNets</a></p>
Landslide dynamics dataset based on FNO
<p>These are 1D and 2D landslide numerical solution data sets using FNO model to solve real landslide dynamics process. Two of the files are 1D and 2D landslide datasets with an output time interval of 10s.</p>
Tertiary structure and conformational dynamics of the anti-amyloidogenic chaperone DNAJB6b at atomistic resolution
<p>Title of the article - Tertiary structure and conformational dynamics of the anti-amyloidogenic chaperone DNAJB6b at atomistic resolution</p> <p>Here, we have provided the following</p> <ol> <li>Homology models obtained from various software.</li> <li>Configuration files used (*.mdp files)</li> <li>Average structures of closed, open, and extended states obtained from our study. </li> </ol>
Shallow and deep groundwater moderate methane dynamics in a high Arctic glacial catchment
<p>Geochemistry data of water samples taken of groundwater and river water in a glacial catchment on Svalbard during the summers of 2021 and 2022. </p>
Repository for: "Extreme statistic and extreme events in dynamical models of turbulence"
<div>This repository contains underlying data, post-processing scripts and figure scripts, corresponding to the article "Extreme statistic and extreme events in dynamical models of turbulence", X.M. de Wit, G. Ortali, A. Corbetta, A.A. Mailybaev, L. Biferale, F. Toschi, 2024, Phys. Rev. E 109 (5), 055106.</div> <div> </div> <div><strong>Data</strong></div> <div>Raw data of the obtained moments and histogram of the structure function are provided in 'PRODUCTION/STAT_RUNS/' and 'VALIDATION/STAT_RUNS/' respectively for the production runs and validation runs.</div> <div> </div> <div><strong>Post-processing</strong></div> <div>Various post-processing routines for e.g. the computation of the anomalous scaling exponents are provided in the Jupyter notebooks 'PROD_process.ipynb' and 'VALI_*_process.ipynb' respectively for the production runs and validation runs. The computation of the singularity spectrum is provided in 'PROD_singularity_spec.ipynb'.</div> <div> </div> <div><strong>Figures</strong></div> <div>Reproduction of the figures as appearing in the paper can be done using the corresponding Jupyter notebooks labeled as 'PAPER_*.ipynb'.</div>
Dynamic, IPSC-derived Hepatic Tissue Tri-Culture System for the Evaluation of Liver Physiology in vitro
<p>This repository is related to the research article entitled "Dynamic, IPSC-derived Hepatic Tissue Tri-Culture System for the Evaluation of Liver Physiology in vitro" by Benedikt Scheidecker <em>et al</em> 2024 <em>Biofabrication</em> 16 025037. DOI 10.1088/1758-5090/ad30c5.</p> <p>The dataset contains raw RNA sequencing data (FASTQ files generated by paired-end Illumina sequencing of nanoCAGE and Chromium Single Cell 3' Gene Expression libraries) and processed nanoCAGE data files (demultiplexed FASTQ files and sequence alignments in the BED12 file format) produced by the CAGEscan Nextflow pipeline (please see https://gitlab.com/mcfrith/cagescan-pipeline and https://github.com/oist/plessy_CAGEscan_Nextflow for usage details). The nanoCAGE gene expression table (nanoCAGE_exp_table_genes_hg38.csv) was created from BED12 files using the "CAGEr" software package available from Bioconductor. Single cell sequencing data were processed with the dedicated Cell Ranger pipeline available from 10x Genomics.</p> <p> </p> <p> </p> <p> </p>
Data for the preprint of "Layer-by-layer unsupervised clustering of statistically relevant fluctuations in noisy time-series data of complex dynamical systems"
<p>README: description of the files. </p> <p>This Zenodo repository contains all the data and original code necessary to reproduce the results of the paper https://doi.org/10.48550/arXiv.2402.07786. The code (continuously mantained and updated) is available open-source as a Python package at https://pypi.org/project/onion-clustering/ and on GitHub (https://github.com/matteobecchi/timeseries_analysis). </p> <p>The repository contains the folders "Fig1", "Fig2" etc, which contain the corresponding Datasets, together with the code to reproduce the figures. Additionally, the folder "FigS1 contains code and data for FigS1. </p> <p>The repository also contains the Supplementary Movies S1 to S4, in .mp4 format. </p>
Microscopic simulations of the dynamics of excitonic many-body correlations coupled to quantum light
<p>Dataset of the publication "Microscopic simulations of the dynamics of excitonic many-body correlations coupled to quantum light" H. Rose, P. R. Sharapova, and T. Meier, Proc. SPIE 12884, Ultrafast Phenomena and Nanophotonics XXVIII, 1288403 (2024). ( https://doi.org/10.1117/12.2690245 ). The zip file includes the data on which the plots shown in figures 1 and 2 are based.</p>
Computational insights into the Conformational Dynamics of HIV-1 Vpr in lipid bilayer for ion channel modeling
<p>This is the dataset of input files, parameter files and run files for the various protein conformations generated in the study "Computational insights into the Conformational Dynamics of HIV-1 Vpr in lipid bilayer for ion channel modeling"</p>
Leeuwin Current Dynamics in the SE Indian Ocean and Implications for Regional Surface Hydrography since the Latest Miocene: Results from ODP Hole 763A
<p>The main findings of this research are based on comprehensive analyses, including planktic foraminiferal census counts and their stable isotope ratios, as well as XRF analysis of bulk sediments from Ocean Drilling Program Hole 763A in the southeastern Indian Ocean. We have documented valuable insights into the dynamics of the Leeuwin Current and West Australian Current, as well as changes in the surface hydrography and their implications for regional climate. The study established a teleconnection between the shallowing of the mixed layer in the southeast Indian Ocean and the aridity over Northwest Australia.</p>
Microscopy and flow cytometry raw data for: A genetically encoded biosensor to monitor dynamic changes of c-di-GMP with high temporal resolution
<p><br>This repository contains the microscopy and flow cytometry raw data for the following publication:</p> <p><strong>A genetically encoded biosensor to monitor dynamic changes of c-di-GMP with high temporal resolution</strong></p> <p>Andreas Kaczmarczyk, Simon van Vliet, Roman Peter Jakob, Raphael Dias Teixeira, Inga Scheidat, Alberto Reinders, Alexander Klotz, Timm Maier, Urs Jenal</p> <p>Biozentrum, University of Basel, 4056 Basel, Switzerland</p> <p>Correspondence to: urs.jenal[at]unibas.ch, andreas.kaczmarczyk[at]unibas.ch</p>
Dynamic semantic publishing: four use case scenarios
<p><span>This presentation discusses: 1) How to benefit from semantic technology along the content life cycle. 2) How to implement a learning system, in which knowledge graphs evolve over time. 3) How to integrate semantic technology in a CMS. 4) How taxonomies can build the backbone of a linked data infrastructure.</span></p>
The role of snowmelt, glacier melt and rainfall in streamflow dynamics on James Ross Island, Antarctic Peninsula
<p>Description: The file in this record represents a supplementary data for the journal paper <br>Ondřej Nedělčev, Michael Matějka, Kamil Láska, Zbyněk Engel, Jan Kavan, and Michal Jenicek (2024):<br>The role of snowmelt, glacier melt and rainfall in streamflow dynamics on James Ross Island, Antarctic Peninsula, DOY: 10.5281/zenodo.11001370 </p> <p>The file contains simulations of the HBV-light rainfall-runoff model for Triangular catchment on James Ross Island.<br>The model simulated different water balance components, such as runoff, snow water equivalent, galcier water equivalent, <br>evapotranspiration and groundwater storage for the study period 2010/11–2020/21.</p>
Analysis software for StateSwitch dynamic (DataLad datasets)
<p>These directories contain the code (and on gin the associated data; available upon request) for the (pre-)processing of the multimodal data of the StateSwitch study.</p> <div> <div>Please cite the following references if you use these scripts:</div> <br> <div> <ul> <li>Kosciessa, J. Q., Lindenberger, U. & Garrett, D. D. Thalamocortical excitability modulation guides human perception under uncertainty. Nat. Commun. 12, 2430 (2021).</li> </ul> </div> <div> <ul> <li>Kosciessa, J. Q., Mayr, U., Lindenberger, U. & Garrett, D. D. Broadscale dampening of uncertainty adjustment in the aging brain. Nat. Commun. (in press, 2024).</li> </ul> <p> </p> </div> </div> <p><strong>Note</strong>: The code and data are shared as nested DataLad datasets. These provide the most flexible and efficient access (<em>recommended</em>). The archive attached to this database record provides a snapshot in December 2024, please note that repositories may have been updated since then. The public copy is hosted on <a href="https://git.mpib-berlin.mpg.de/LNDG/stateswitchage/stsw">https://git.mpib-berlin.mpg.de/LNDG/stateswitchage/stsw</a> and provides access to code and tools. The gin sibling (<a href="https://gin.g-node.org/StateSwitch/stsw">https://gin.g-node.org/StateSwitch/stsw</a>) contains the annexed (pre-)processed data. These are available upon request from kosciessa@mpib-berlin.mpg.de.</p> <p>Please note that content of subdatasets (i.e., subfolders) may be subject to alternative licenses.</p>
Small extracellular vesicles from malignant ascites of patients with advanced ovarian cancer provide insights into the dynamics of the extracellular matrix
<p>Small extracellular vesicles isolated from ascites of advanced ovarian cancer patients and assessed with a combination of imaging, proteomic profiling, and protein expression analyses.</p>
Single-Cell Sequencing Reveals Lineage-Specific Dynamic Genetic Regulation of Gene Expression During Human Cardiomyocyte Differentiation - Supplementary Data
<p>Genotype data for 19 cell lines from the Yoruba HapMap population that were used in this study, and summary statistics from QTL calling (see README.md in summary.zip).</p>
Dynamic rupture simulation of the 1833 Songming, Yunnan, China, M 8.0 earthquake: Effects from stepover location and overlap distance
<p>These datasets accompany the western Xiaojiang fault surface coordinates that were used for construction of the fault geometry model, the extrapolated velocity model from Shen et al. (2015), and the observational fault surface slip of the 1833 Songming M 8.0 earthquake in Dynamic rupture simulation of the 1833 Songming, Yunnan, China, M 8.0 earthquake: Effects from stepover location and overlap distance submitted to Earth and Space Science by Yu et al. (2021). The data is structured as follows:</p> <p> </p> <p>Once unzipped the data within the archive are three folders structured as follows: subfolder "extrapolated velocity model" is for the extrapolated velocity model, "fault_coordinates" is for the western Xiaojiang fault surface coordinates and "fault_slip" is for the observational fault surface slip. Inside the first folder, there is one NetCDF file, volume_media.nc. The variable x, y, depth starts from 0 km, 0 km, and 4 km, and ends at 200.70 km, 333.96 km, and -40.52 km; x = 0, y = 0 corresponding to 102°, 24°; x = 200.70, y = 333.96 corresponding to 104°, 26.5°. Inside the second folder, there are three txt files, "wxj_conti.txt" is for the continuous western Xiaojiang fault model, "wxj_qshso.txt" is for the western Xiaojiang fault model with Qingshuihai stepover structure, and "wxj_yzhso.tx" is for the western Xiaojiang fault model with Qingshuihai and Yangzonghai stepover structures. Inside the third folder, there is one txt file, 'fault_surface_slip.txt' is for the observational fault surface slip of the 1833 Songming earthquake with the coordinates.</p>
SARS-CoV-2 Viral dynamics
<p><span><b>Background:</b><span> Cases of undiagnosed pneumonia have emerged, and sequencing of respiratory samples indicated the presence of SARS-CoV-2 causing COVID-19. Patients with higher viral load and lower Ct values tend to have progressive disease and severe lung injury.</span> The objective of this study is to describe the clinical manifestation and disease outcomes of COVID-19 patients in relation to their Ct values. </span></p> <p><strong>Methods:</strong> A retrospective, single-center observational study was performed, including patients admitted to King Faisal Specialist Hospital and Research Centre (KFSH&RC) Riyadh in one month in 2020 and have a confirmed diagnosis of COVID-19. The Ct value was identified to determine the viral load. All patients were treated according to KFSH&RC guidelines. <span>Patients were divided into HCQ/AZI and non HCQ/AZI treated groups. </span></p> <p><b><span>Results:</span></b><span> There were many days where Ct values were not available. An attempt at imputing information for missing Ct values was made using logic. The logic leads to an ordinal Ct score 1, 2, 3, or 4. As a result, complete Ct score profiles were available. There was no evidence of statistically significant difference between the two groups in regard to clinical severity, duration to negative test, or changes in Ct values. </span></p> <p><b><span>Conclusion:</span></b> There is little knowledge known to the time profile of Ct values and their relation to disease course of COVID-19. This study provides insight on how Ct values might be used to determine treatment efficacy. As it might be difficult to obtain Ct values at all times, this study provides an imputation method that may be used with conservative statistical assumptions for analyses of Ct profiles. </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.