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4,694 results for “data analysis”
FIGURE 5 in Stolonochloa, a new Australian genus segregated from Panicum (Poaceae: Panicoideae: Paniceae: Boivinellinae) based on phenetic analysis of morphological data
FIGURE 5. Dendrogram generated from PATN analysis using Gower association measure and dataset composed of 8 samples and 133 morphological characters. Classification strategy set at flexible UPGMA agglomerative hierarchical fusion technique with Beta = -0.10.
FIGURE 19 in Stolonochloa, a new Australian genus segregated from Panicum (Poaceae: Panicoideae: Paniceae: Boivinellinae) based on phenetic analysis of morphological data
FIGURE 19. Scanning electron micrograph of the apex of upper palea of Entolasia, Panicum s.s. and Stolonochloa, and apex of upper lemma of S. lachnophylla. a. S. lachnophylla from Forster PIF42156 (BRI) (SE Queensland). b. S. lachnophylla from Hyland 1831 (BRI) (North Queensland). c. S. pygmaea from Bean 31074 (BRI). d. E. stricta from Thompson MOR756 (BRI). e. P. effusum from Thompson EJT916 (BRI). f. S. lachnophylla from Forster PIF42156 (BRI). Images: E.J. Thompson; captured at x1000. Scale bar: 100 µm. Abbreviations: bmh bicellular microhair; cp compound papillae; mah simple macrohair; mic simple microhair; pr prickle; sb silica body
FIGURE 25 in Stolonochloa, a new Australian genus segregated from Panicum (Poaceae: Panicoideae: Paniceae: Boivinellinae) based on phenetic analysis of morphological data
FIGURE 25. Transverse section of portion of fresh and rehydrated inflorescence culms of Entolasia, Panicum s.s. and Stolonochloa. a. S. lachnophyllare hydrated from Forster PIF42156 (BRI). b. S. pygmaea fresh from Thompson MOR771 (BRI). c. E. stricta fresh from Thompson MOR756 (BRI). d. P. effusum fresh from Thompson EJT916 (BRI). Images: E.J. Thompson. Scale bar: 100 µm. Abbreviations: chl chlorenchyma; Pscl peripheral sclerenchyma: orientation - r radial, t tangential; shape - b block, l linear; position - s strand; g girder; vb vascular bundles - 1 primary, 2 secondary, 3 tertiary
FIGURE 18 in Stolonochloa, a new Australian genus segregated from Panicum (Poaceae: Panicoideae: Paniceae: Boivinellinae) based on phenetic analysis of morphological data
FIGURE 18. Scanning electron micrograph of the dorsal surface of upper palea of Entolasia, Ottochloa, Panicum s.s. and Stolonochloa. a. S. lachnophylla from Forster PIF42156 (BRI). b. S. pygmaeafrom Bean 31074 (BRI). c. E. stricta from Thompson MOR756 (BRI). d. Ottochloa gracillima from Thompson MOR740 (BRI). e. P. effusum from Thompson EJT916 (BRI). Images: E.J. Thompson; captured at x2000. Scale bar: 50 µm. Abbreviations: bmh bicellular microhair; cp compound papillae; lm lemma margin; mah simple macrohair; sp simple papillae
FIGURE 17 in Stolonochloa, a new Australian genus segregated from Panicum (Poaceae: Panicoideae: Paniceae: Boivinellinae) based on phenetic analysis of morphological data
FIGURE 17. Scanning electron micrograph of margin of the upper lemma of Entolasia, Panicum s.s. and Stolonochloa. a. S. lachnophylla from Forster PIF42156 (BRI). b. S. pygmaea from Bean 31074 (BRI). c. E. stricta from Thompson MOR756 (BRI). d. P. effusum from Thompson EJT916 (BRI). Images: E.J. Thompson; captured at x1000. Scale bar: 100 µm. Abbreviations: FM margin flat on the palea, tapering from thickened indurated body to membranous near edge; IM margin inrolled, thickened and indurated throughout; UL upper lemma; mah simple macrohair; UP upper palea; cp compound papillae, sp simple papillae
Tas (2022) ECG-glucose final analysis data and code
<p>In order to achieve transparency and reproducibility, we have uploaded the data file and code we used in our final analysis for related manuscript named '<strong>Electrocardiogram and </strong><strong>Blood </strong><strong>Glucose Concentration in Nondiabetic People'</strong></p> <p><strong>Full version of dataset (original source) with raw ECG and glucose measurements can be found here:</strong></p> <p>Fabien Dubosson, Jean-Eudes Ranvier, Stefano Bromuri, Jean-Paul Calbimonte, Juan Ruiz, & Michael Schumacher. (2018). The open D1NAMO dataset: A multi-modal dataset for research on non-invasive type 1 diabetes management (1.2.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5651217</p> <p><strong>For ensemble-averaging, we have integrated code of Kim Parker:</strong></p> <p>https://kparker.bg-research.cc.ic.ac.uk/guide_to_wia/03_ensemble_average.html</p> <p>A practical guide to wave intensity analysis</p> <p>Kim H. Parker <br> Department of Bioengineering <br> Imperial College, London</p> <p>For any questions, kindly contact ahmettas.cor@gmail.com</p> <p> </p>
Supplementary data- Detailed Geogenic Radon Potential Mapping Using Geospatial Analysis of Multiple Geo-variables. A Case Study from a High-Risk Area in SE Ireland.
<p>Supplementary Data: all the data produced and used, statistical analysis, mathematical proofs diagnostic tests, regression models and additional charts and tables</p> <p>Detailed Geogenic Radon Potential Mapping Using Geospatial Analysis of Multiple Geo-variables. A Case Study from a High-Risk Area in SE Ireland. </p>
Data and analysis for: Differential effects of ankle constraints on foot placement control between normal and split belt treadmills
<p>Here we compared the effect of ankle moment constraints (LesSchuh; a shoe with a narrow ridge along the length of the shoe's sole), on a single and a split-belt treadmill. To this end we considered the foot placement model as proposed by Wang and Srinivasan (2014), and used the R^2 of this model as an outcome measure. In addition, step width, stride frequency and toe-out angles have been computed. The results have been written up in our publication in the journal of biomechanics.<br> <br> Wang, Y., & Srinivasan, M. (2014). Stepping in the direction of the fall: the next foot placement can be predicted from current upper body state in steady-state walking. <em>Biology letters</em>, <em>10</em>(9), 20140405.</p>
Analysis of internal pressure in 3D bent insulated glass units - experimental data (CC-BY)
<p>The experimental data have been collected within the research project “Analysis of internal pressure in 3D bent insulated glass units” (grant number 2021/05/X/ST8/00168) financed by The National Science Centre (NCN) within the MINIATURA 5 programme.</p>
Data and code accompanying: Predator-induced transgenerational plasticity in animals: a meta-analysis.
<p>These data and code were used to generate the publication "Predator-induced transgenerational plasticity in animals: a meta-analysis", accepted in Oecologia (Oct 2022).</p> <p>Contents:</p> <ol> <li>R code file (can be opened as txt) - all code used to generate statistical models and results</li> <li>Datafile - main datafile containing all meta-analysis data, and a metadata sheet explaining each column. See paper and associated supplementary material for more detail.</li> </ol>
Data supporting the analysis of forest cuts in Sweden
<p>These files supported the analysis found in the paper: <em>Widespread unquantified conversion of old boreal forests to plantations</em></p> <p>Currently in preparation at Earths Future.</p> <p><br> File: TableTempPlotsAndCuts221017.xlsx</p> <p>The table includes Sweidsh NFI plot data on stand age and forest type, overlayed with maps on reported cuts, NFI regions, and protection. It contains all data needed to repeat the analysis found in the paper.</p> <p><br> Below is a short description of each varaible.</p> <p>X and Y, coordinates in SWEREF99 TM<br> taxar, year of inventory<br> age, stand age<br> IsFridlyst, if it was protected during inventoryagoslag, land cover type<br> Arendear, exists for cut plots, this is the year of land owners report of intention to cut<br> Avverktyp, purpose of the cut<br> Skogstyp, forest type in cut database<br> Avvdatum, date of cut<br> Kalladatum, origin of date of cut information<br> FID... etc, these are ID codes for a number of different protection statuses, a value different from zero indicates its protected<br> IfFjallNar, if its in the mountain zone<br> region, NFI region</p> <p> </p> <p>File: NFI_regions.zip<br> Polygon map representing Swedish NFI sampling regions.</p> <p> </p>
Data for LSA analysis
<p>This code is supplementary to the paper "Kinetic modulation of bacterial hydrolases by microbial community structure in coastal waters" by Abad et al. </p> <p><br> It contains the following files: </p> <p>0) README.txt: </p> <ul> <li>This README file.</li> </ul> <p>1) Complex saturation kinetics modelling.R: </p> <ul> <li>It contains the code developed for the determination of the kinetic parameters of the extracellular enzymatic activities by fitting the hydrolysis rates to four different kinetic models of increasing complexity using a non-linear least squares regression.</li> </ul> <p>2) LSA functions.R: </p> <ul> <li>It contains the functions implemented in R to perform the Local Similarity analysis.</li> <li>Our specific modifications related to the function LocalSimilarity3 are indicated by the comment "#New: modified function".</li> </ul> <p>3) LSA script.R: </p> <ul> <li>It is an updated version of the code developed by Ruan et al (2006) that has been used to perform the Local Similarity analysis in our study. </li> <li>The comment "#New: modified function” indicates our specific modifications within the original code.</li> <li>The following modifications were added to the original code: <ul> <li>The calculation of the linear interpolation of missing values (NA’s) using the R package zoo (Zeleis et al 2021).</li> <li>The calculation of the q-values by using the R package qvalue (Storey et al 2022).</li> </ul> </li> </ul> <p><strong>NOTE:</strong> it is important to set the working directory in the same folder where all the provided files are stored.</p>
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>
Jeanbille_et_al_2024_Exclusion_experiment_ANALYSIS: code and data for "Size exclusion experiment in a grassland field unravels top-down control of the soil fauna on microbial community assembly"
<p>Release of code and data associated with the publication "Size exclusion experiment in a grassland field unravels top-down control of the soil fauna on microbial community assembly".</p>
Jeanbille_et_al_2024_Exclusion_experiment_ANALYSIS: code and data for "Size exclusion experiment in a grassland field unravels top-down control of the soil fauna on microbial community assembly"
<p>Release of code and data associated with the publication "Size exclusion experiment in a grassland field unravels top-down control of the soil fauna on microbial community assembly".</p>
Jeanbille_et_al_2024_Exclusion_experiment_ANALYSIS: code and data for "Size exclusion experiment in a grassland field unravels top-down control of the soil fauna on microbial community assembly"
<p>Release of code and data associated with the publication "Size exclusion experiment in a grassland field unravels top-down control of the soil fauna on microbial community assembly".</p>
Jeanbille_et_al_2024_Exclusion_experiment_ANALYSIS: code and data for "Size exclusion experiment in a grassland field unravels top-down control of the soil fauna on microbial community assembly"
<p>Release of code and data associated with the publication "Size exclusion experiment in a grassland field unravels top-down control of the soil fauna on microbial community assembly".</p>
Crystal structure, PXRD, FTIR-ATR, thermal analysis, DFT and ESP data
<p>The zip file contains folder with selected PXRD, FTIR-ATR, thermal analysis, single crystal structure (CIF) data, as well as calculated ESP data, as well as data relevant for periodic DFT calculations.</p>
Research Data and Code: Evaluating Railway Junction Infrastructure: A Queueing-Based, Timetable-Independent Analysis
<p>Research Data and Code for the publication:</p> <p>Evaluating Railway Junction Infrastructure: A<br>Queueing-Based, Timetable-Independent Analysis</p> <p>In Transportation Research Part C - Emerging Technologies</p> <p>DOI: https://doi.org/10.1016/j.trc.2024.104704</p>
Data files for SWOT correlated error analysis
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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.