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814 results for “Time Analysis”
CoUDlabs_TA_USFD_02_ANNULAR_Regueiro. Time series analysis of sewer temperatures in an annular flume to estimate sediment accumulation
<p>This dataset contains the results of the experimental campaign and how data were collected on the the <a href="https://co-udlabs.eu/">Co-UDlabs</a> Transnational Access project: <em>Temperature time series analysis for predicting sedimentation in sewer systems</em>, by Regueiro-Picallo et al. The Transnational Access project was funded under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101008626.</p> <p>The experiments were designed to further develop an innovative methodology for measuring sediment bed deposits in UDS based on temperature data analysis (<a href="https://doi.org/10.1039/D2EW00820C" target="_blank" rel="noopener">Regueiro-Picallo et al., 2023</a>; <a href="https://doi.org/10.1039/D3EW00825H" target="_blank" rel="noopener">Regueiro-Picallo et al., 2024</a>). Particularly, the aim of these experiments was to study the influence of the sewer hydrodynamics for estimating the sediment accumulation using temperature-based methods. Therefore, the main tasks of this project were the design of a temperature-control system for the ANNULAR flume to reproduce sewer temperature patterns, and the development of an experimental campaign including different flow, sediment depth and temperature pattern conditions. The purpose of these measurements is to prove the use of simplified systems to monitor sediment accumulation in sewer systems.</p> <p>The data are described so that others can use and reproduce.</p>
Global Atmospheric Real-Time Analysis Product (ART)
<p><span>Global Atmospheric Real-Time Analysis Product (ART) is a three-dimensional atmospheric real-time product covering the globe, <span> generated by the China Meteorological Administration (CMA) using a </span>four-dimensional ensemble variational assimilation method. It assimilates real-time collected conventional observations specific to the Chinese region and four major categories of 14 subcategories of conventional observations from global surface, upper-air, marine, aircraft reports, as well as satellite vertical detection radiance, infrared hyperspectral, occultation observations, atmospheric motion vectors, and ocean surface wind data. Upon verification and evaluation, the overall quality of this product is comparable to that of similar international products, with significantly better timeliness compared to foreign products. </span></p> <p><span>The ART includes real-time analysis products of global three-dimensional atmospheric temperature, humidity, wind, geopotential height, and other elements. It has a spatial resolution of 10km×10km, covering the entire globe, with a temporal resolution of 1 hour, and the product format is GRIB2.</span></p>
Time Series Analysis with Python datasets
<p>Datasets used in the course <a href="https://github.com/FilippoMB/python-time-series-handbook">Time Series Analysis with Python</a>.</p>
Time-series analysis of rhenium(I) organometallic covalent binding to a model protein for drug development: Raw Diffraction Images (38 week soak). Zenodo
<p>The synchrotron raw diffraction images obtained at 38 weeks and wavelength 0.976 Å, illustrates the covalent coordination of the rhenium(I) tricarbonyl fragment to the His and Asp amino acid residues as well as movement along the solvent channels as described in the publication titled "Time-series analysis of rhenium(I) organometallic covalent binding to a model protein for drug development", written by Jacobs, Helliwell & Brink,<em> IUCrJ</em>, 2024, https://doi.org/10.1107/S2052252524002598.</p> <p>The raw diffraction images for the DLS data sets are made available at the Zenodo research data archive, as specified in the publication.</p>
Dataset for Spatial Heterogeneity of Uplift Pattern in the Western European Alps Revealed by InSAR Time Series Analysis
<p>ZIP file with InSAR raw and smoothed final velocity solution values</p>
Benchmarks for paper "Checking validity of the min-plus operations involved in the analysis of a real-time embedded network"
<p>Benchmarks for the paper "Checking validity of the min-plus operations involved in the analysis of a real-time embedded network"</p>
Nonlinear time series analysis of the interaction between the citrus whitefly and the whitefly-specialist ladybird
<p>A comprehensive understanding of the top-down effects of natural enemies on agricultural pests is essential for achieving effective biological control in integrated pest management. However, it is typically difficult to identify causal effects between the interacting species from time series data, which have often been monitored for pest forecasting purposes in agricultural ecosystems, as it is likely to involve nonlinear (state-dependent) population dynamics. In this study, we applied a recently developed framework of nonlinear time series analysis (empirical dynamic modeling) to determine top-down and bottom-up effects between the citrus whitefly <i>Dialeurodes citri</i> and the whitefly-specialist ladybird <i>Serangium japonicum</i>. We used weekly monitoring data for the two species collected over 4 years in pesticide-free citrus groves located in Shizuoka Prefecture, central Japan. Although we were able to identify time-delayed positive effects of <i>D. citri </i>abundance on <i>S. japonicum</i> abundance, we failed to detect any significant causal effects of <i>S. japonicum</i> abundance on <i>D. citri</i> abundance. Moreover, weather variables (temperature and rainfall) were found to have only a negligible effect on the population dynamics of the two species. Our findings indicate that bottom-up rather than top-down effects predominate in the weekly dynamics of this predator–prey system. On the basis of these observations, we discuss whether <i>S. japonicum</i> would be an effective agent for the biological control of <i>D. citri</i> in open field systems.</p>
Time-series transcriptome analysis identified differentially expressed genes in broiler chicken infected with mixed Eimeria species
<p>Coccidiosis caused by the <em>Eimeria</em> species is a highly problematic disease in the chicken industry. Here, we used RNA sequencing to observe the time-dependent host responses of <em>Eimeria</em>-infected chickens to examine the genes and biological functions associated with immunity to the parasite. Transcriptome analysis was performed at three time points: 4, 7, and 21 days post-infection (dpi). Based on the changes in gene expression patterns, we defined three groups of genes that showed differential expression. This enabled us to capture evidence of endoplasmic reticulum stress at the initial stage of <em>Eimeria</em> infection. Furthermore, we found that innate immune responses against the parasite were activated at the first exposure; they then showed gradual normalization. Although the cytokine-cytokine receptor interaction pathway was significantly operative at 4 dpi, its downregulation led to an anti-inflammatory effect. Additionally, the construction of gene co-expression networks enabled identification of immunoregulation hub genes and critical pattern recognition receptors after <em>Eimeria</em> infection. Our results provide a detailed understanding of the host-pathogen interaction between chicken and <em>Eimeria</em>. The clusters of genes defined in this study can be utilized to improve chickens for coccidiosis control.</p>
Azimuthally averaged tangential wind and radial wind for Hurricane Patricia simulations and SAMURAI analysis at validation time
<p>Azimuthally averaged tangential wind and radial wind for Hurricane Patricia simulations (the data format is .mat) and SAMURAI analysis at validation time (the data format is netcdf).</p>
Supplementary materials to "Brakenhoff et al., Application of time series analysis to estimate drawdown from multiple well fields."
<p>This repository contains the supplementary material that allow to reproduce all the results from the study submitted to Frontiers journal.</p> <p> </p>
Data Set and Replication Package of Paper on Handling Environmental Uncertainty in Design Time Access Control Analysis
<p>Data set and replication package for Paper "Handling Environmental Uncertainty in Design Time Access Control Analysis".</p> <p>The data set contains an overview of used case studies, with illustrations and descriptions.</p> <p>The replication package contains the implemented application as well as model instances of every case study used for the evaluation.</p>
Simulation input files and analysis scripts for "Small ionic radii limit time step in Martini 3molecular dynamics simulations"
<p>Simulation input files and analysis scripts for "Small ionic radii limit time step in Martini 3molecular dynamics simulations".</p> <p>See <a href="https://aip.scitation.org/doi/10.1063/5.0095523">https://aip.scitation.org/doi/10.1063/5.0095523</a> for details.</p> <p>NOTE: some combinations of settings result in simulations that crash!<br> </p>
Data Deposition: Time-resolved analysis of transcription kinetics in single live mammalian cells
<p>Actb_result_ACF_fitting: Results of the steady-state autocorrelation method from Actb gene. </p> <p>Actb_result_FP: Results of the time-resolved measurement from Actb gene with Flavopiridol. </p> <p>Actb_result_Trp: Results of the time-resolved measurement from Actb gene with triptolide</p> <p>Arc_result_ACF_fitting: Results of the steady-state autocorrelation method from Arc gene. </p> <p>Arc_result_FP: Results of the time-resolved measurement from Arc gene with Flavopiridol. </p> <p>Arc_result_Trp: Results of the time-resolved measurement from Arc gene with triptolide</p> <p>Simulation_steady_state_errors_Actb_210707_n100</p> <p>: results of autocorrelation fitting from steady-state simulation of Actb transcription</p> <p>Simulation_steady_state_errors_Arc_210707_n100</p> <p>: results of autocorrelation fitting from steady-state simulation of Arc transcription</p> <p>Simulation_time_resolved_errors_Actb_210707_n100</p> <p>: results of time-resolved model fitting from initiation inhibited simulation of Actb transcription</p> <p>Simulation_time_resolved_errors_Arc_210707_n100</p> <p>: results of time-resolved model fitting from initiation inhibited simulation of Arc transcription</p>
FIGURE 2 in Phylogenetic and divergence time analysis of the Chelonoidis chilensis complex (Testudines: Testudinidae)
FIGURE 2. Phylogenetic trees of the genus Chelonoidis, including the C. chilensis complex, obtained by three different criteria. A: Maximum Parsimony, B: Maximum Likelihood, C: Bayesian Inference. The numbers above the nodes indicate bootstrap support scores (A and B) and posterior probability scores (C). Clade colors refer to the corresponding eco–regions (see Fig. 1).
FIGURE 1 in Phylogenetic and divergence time analysis of the Chelonoidis chilensis complex (Testudines: Testudinidae)
FIGURE 1. Map of Argentina showing the localities from which the tissue samples were taken. Different colors indicate different eco–regions. Legends near sample localities are in accordance with the haplotypes shown in the phylogenetic trees (Fig. 2).
FIGURE 3 in Phylogenetic and divergence time analysis of the Chelonoidis chilensis complex (Testudines: Testudinidae)
FIGURE 3. Ultrametric trees obtained by the two-step method of McCartney & Barreto (2010), showing the divergence times within the family Testudinidae (A) and the divergence times within the C. chilensis complex (B). Numbers above the nodes indicate median of node ages, red numbers below the nodes indicate the clades belonging to the genus Chelonoidis (see table 5).
Supplementary Data:Risk Analysis for Real-time Flood Control Operation of a Multi-reservoir System Using a Dynamic Bayesian Network
<p>The files in this record contain data for risk analysis for real-time flood control operation of a multi-reservoir system using a dynamic bayesian network considered for publication in Water Resources Research.</p> <p>The files consist of:</p> <ul> <li>Reservoir data and river flood routing parameters</li> <li>Flood data</li> <li>Code and results of the Monte Carlo simulations</li> <li>Code and results of the Bayesian network</li> </ul>
Figure S1: Two-tailed intergroup Pearson analysis between patient age, COVID-19 detection, de-livery time, gravida, and termination week (Y-axis) with maternal and neonatal anti-COVID-19 immunoglobulins (IgG and IgM) (X-axis), depicted as a three-point color map (lowest = blue, 0 = white, highest = red) showed no significant correlation (at p>0.05).
<p>Figure S1: Two-tailed intergroup Pearson analysis between patient age, COVID-19 detection, de-livery time, gravida, and termination week (Y-axis) with maternal and neonatal anti-COVID-19 immunoglobulins (IgG and IgM) (X-axis), depicted as a three-point color map (lowest = blue, 0 = white, highest = red) showed no significant correlation (at p>0.05).</p>
Frequency of infraposition and missing contact points in implant supported restorations within natural dentitions over time: a systematic review with meta-analysis
<p>Dataset for the meta-analyses performed in this systematic review</p>
Data and analysis for "Fldgen v1.0: An Emulator with Internal Variability and Space-Time Correlation for Earth System Models"
<p>This is an archive of the raw data and analysis source code for the paper "Fldgen v1.0: An Emulator with Internal Variability and Space-Time Correlation for Earth System Models". The archive contains:</p> <ul> <li><strong>devel.Rmd : </strong>Source code for the worksheet that contains the early development and figures for the paper.</li> <li><strong>devel.html</strong> : HTML rendering of devel.Rmd</li> <li><strong>lg-ensemble-stats.Rmd </strong>: Source code for the worksheet that contains the statistical analysis described in the paper.</li> <li><strong>lg-ensemble-stats.html</strong> : HTML rendering of lg-ensemble-stats.Rmd</li> <li><strong>cc-analysis.Rmd </strong>: Analysis of the compromise conjecture raised by some readers of the paper</li> <li><strong>cc-analysis.nb.html</strong> : HTML rendering of cc-analysis.Rmd</li> <li><strong>data.tar.bz2 </strong>: Input data for the analyses above.</li> </ul> <p>The source code in this archive is written in R and requires the R runtime environment. It also uses the fldgen package, version 1.0.0, which is available at <a href="https://github.com/JGCRI/fldgen">https://github.com/JGCRI/fldgen</a></p> <p> </p>
ScienceDex guides
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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.