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1,630 results for “Stepping”
Experiments on the effects of width variations of step formation and stability in steep streams
<p>This repository contains experimental data used in the manuscript "Width variations control the location and stability of steps in steep streams: insight from flume experiments" submitted to Geophysical Research Letters by Saletti M. and Hassan M. A.</p> <p>- The matlab script Steps_Slices.m is the the code used to identify steps from the bed elevation file DEM, using the modified version of the algorithm of Zimmermann, Church and Hassan (Geomorphology, 2008).</p> <p>- The 4 subfolders contains the DEMs post-processed, as .txt files, and the photos, as .jpg files, after each hour of experiment. The name of the folder identifies the experiments and the cumulative hour after which the data have been collected (e.g. N1_06 contains DEM and photo collected after 6 hours of experiment N1).</p> <p>- Each hour the unit discharge was increased as follows:<br> Runs q [l/s/m]<br> 00 5.0<br> 01 10.0<br> 02 12.0<br> 03 14.5<br> 04 17.5<br> 05 21.0<br> 06 25.0<br> 07 30.0<br> 08 36.0<br> 09 43.2<br> 10 51.8<br> 11 62.2<br> </p>
Data for "Fully Implicit Time Stepping can be Efficient on Parallel Computers"
<p>Benchmark data and python plotting programs</p>
Soil-Recycled Aggregate-Geopolymer Road Base/Subbase Mixtures: Steps Towards Sustainability
<p>Corresponding data set for Tran-SET Project No. 18GTLSU10. Abstract of the final report is stated below for reference:</p> <p>"This study deals with the development of Soil-Geopolymer mixtures using flyash, alkali activator and recycled aggregates (RAG) including recycled concrete (RCA) and reclaimed asphalt (RAP) as an alternative to soil-cement for pavement base and subbase layers. Several mix constituents were varied such as flyash type and content, RCA and RAP content and ratio of sodium silicate and sodium hydroxide. Experiment design was established and mechanical and durability characteristics of Soil-RAG-Geopolymer mixtures were evaluated and then compared to the conventional soil-cement mixtures. The results of the testing showed that for the selected Soil-RAG-Geopolymer mixtures the strength, stiffness, permanent deformation, and durability characteristics were either comparable or better than the soil-cement mixtures. However, such mixtures required more curing time at room temperature to achieve needed strength. In order to further optimize the practical applications of this technology in the field, other variables such as molarity of alkali activator, curing conditions, early strength development at room and ambient temperatures, gradation of RAG and shrinkage characteristics need be investigated."</p>
Fig. 5 in Early steps in the radiation of notoungulate mammals in southern South America: A new henricosborniid from the Eocene of Patagonia
Fig. 5. Size comparison between members of Henricosborniidae and Orome deepi gen. et sp. nov.
Research data for the article "Membrane-Active Antibiotics Affect Domains in Bacterial Membranes as the First Step of Their Activity" by Adéla Melcrová, Christiaan Klein, and Wouter Roos, Nano Letters 2024.
<p>Research data for the publication Membrane-Active Antibiotics Affect Domains in Bacterial Membranes as the First Step of Their Activity, Nano Letters, 2024. <a href="https://doi.org/10.1021/acs.nanolett.4c01873" target="_blank" rel="noopener">https://doi.org/10.1021/acs.nanolett.4c01873</a></p> <p>The data set contains experimental data on the study of antimicrobial N-alkylamide 3d and its interaction with the membrane extracted from the bacteria Staphylococcus aureus. Experimental details can be found in the Methods section of the Supporting Information of the mentioned article. </p> <p>The data set contains underlying data for each Figure in the publication including the figures in the Supporting Information. </p> <ul> <li>Figure 1, S2, S3, S6, S8 - Atomic Force Microscopy images in the raw format as collected on JPK Nano Wizard Ultra Speed AFM.</li> <li>Figure 2, 3, S1 - High-Speed Atomic Force Microscopy images in the raw format as collected on high-speed AFM RIBM machine. The data could be opened in Kodec software. The full trajectories recorded on the high-speed AFM machine are presented here. Only snapshots were used in the publication Figures.</li> <li>Figure S7, S9 - Snapshots from the High-Speed AFM measurements showing the cross-section lines (.bmp) together with the cross-section profiles (.csv) that were used to measure the height of supramolecular structures on top of the bacterial membrane.</li> <li>Data underlying Figure S5 and Supporting Video 1 overlap with the data presented in Figure 2a.</li> </ul>
High-speed videos for the paper "Correlation between speed of the stepped leader and peak current of the return stroke of lightning flashes"
<p>This page contains one spreadsheets with the data of the analyzed lightning flashes (.xlsx file). And it also has high-speed camera video files (.cine files) that are located inside the Lighning Flashes.rar folder. The videos can be watched frame by frame to reproduce the analysis done in the paper titled "Correlation between speed of the stepped leader and peak current of the return stroke of lightning flashes", submitted for publication in Geophysical Research Letters.</p> <p>Instructions to watch the videos: </p> <p>Download and use the software Phantom Camera Control (PCC) available at:</p> <p>https://www.phantomhighspeed.com/resourcesandsupport/phantomresources/pccsoftware</p> <p>The Phantom Camera Control (PCC) software is compatible with Windows 7 Pro and Windows 8.1 and Windows 10, for both 32 and 64-bit operating systems.</p>
CAABA/MECCA model output for evaluating optimized step size control in Rosenbrock solvers for stiff ODEs
<p>This dataset comprehend the simulation output obtained with the CAABA/MECCA model for the optimization of the step size control in the Rosenbrock integrators available from the Kinetic PreProcessor (KPP) version 2.2.3_rs4. This dataset is made avalaible for the peer-review of the manuscript describing the model and the different options of step size control that was implemented. </p>
Data described in the article "Three-step enzymatic remodeling of chitin into bioactive chitooligomers"
<p>The Supporting Information file contains the following data: <span>PCR primers and reaction conditions for the generation of <em>Tf</em>Chit mutants; HPLC chromatogram of chitin hydrolysate; detailed sequence alignment; computational data; additional figures for modeling of <em>Tf</em>Chit;</span><span> <span>MALDI-TOF MS analysis of a mixture of insoluble chitooligomers prepared by Y445N <em>Ao</em>Hex, and <em>m/z</em> values monitored by HPLC-MS of the deacetylation reactions.</span></span></p>
Supporting dataset for "Numerical analysis of Josephson junction arrays for multi-order quantum voltage steps"
<p>The TXT files in the <strong>IV_SIN_Beta_0.00-Njj_1.zip</strong> zipped folder include the simulated IV characteristics in normalized units for an overdamped Josephson junction, as described by the RSJ model. This simulation is performed in Python and considers various bias currents and junction parameters.</p> <p>The junction is biased by both a dc current and an ac (rf) current at a normalized frequency <em><strong>Ω_rf</strong></em> and rf-current amplitude<strong> <em>i_rf</em></strong>.</p> <p><em>Ω_rf</em> ranges from 0.2 to 2 in steps of 0.05.<br><em>i_rf</em> ranges from 0 to 4 in steps of 0.1.<br>The dc current varies from 0 to 6 in steps of 0.015.</p> <p>In addition to normalized current and voltage, fundamental to determine the width and position of rf-induced Shapiro steps, other relevant parameters (supercurrent and total dissipated power) are also calculated.</p> <p>The filename is organized as follows (example):</p> <p><strong>IV_SIN__Beta_0.00-Omega_rf_2.000-I_rf_4.000-N_jj_1.txt</strong></p> <ul> <li><strong>IV</strong>: Indicates that the IV characteristic can be extracted from this data (first two columns)</li> <li><strong>SIN</strong>: Specifies that the rf current bias is sinusoidal.</li> <li><strong>Beta_0.00</strong>: Indicates that the Stewart-McCumber parameter (<em>β</em>) of the junction is 0, meaning that the junction is overdamped.</li> <li><strong>Omega_rf_2.000</strong>: Indicates that the normalized rf frequency is 2.</li> <li><strong>I_rf_4.000</strong>: Indicates that the normalized rf current is 4.</li> <li><strong>N_jj_1</strong>: Indicates that a single Josephson junction is simulated.</li> </ul> <p>Each data file consists of four columns and 400 rows (excluding the header). The columns respectively represent Current, Voltage, Supercurrent, and Power, all expressed in normalized units.</p>
CLDF dataset underlying the study "First steps towards the detection of contact layers in Bangime: a multi-disciplinary, computer-assisted approach" from 2022
<p>Cite the source of the dataset as:</p> <blockquote> <p>Hantgan, Abbie and Babiker, Hiba and List, Johann-Mattis (2022): First steps towards the detection of contact layers in Bangime: a multi-disciplinary, computer-assisted approach [version 2; peer review: 2 approved]. Open Research Europe 2022, 2:10.</p> </blockquote>
Wikipedia: Raw English Wikipedia - initial step
Wikipedia is a multilingual, web-based, free-content encyclopedia project supported by the Wikimedia Foundation and based on a model of openly editable content. EOL harvests articles from wikipedia that are indexed as species or higher taxa.<p></p>For connector purposes. Required.
Unlocking higher methane yields and digestate nitrogen availability in soil through thermal treatment of feedstocks in a two-step anaerobic digestion- Dataset
<p>This is a data set for the article "<span>Unlocking higher methane yields and digestate nitrogen availability in soil through thermal treatment of feedstocks in a two-step anaerobic digestion", published in Chemical and Biological Technologies in Agriculture journal.</span></p>
Marine stepping-stones: Connectivity of Mytilus edulis populations between offshore energy installations
Recent papers postulate that epifaunal organisms use artificial structures as stepping-stones to spread to areas that are too distant to reach in a single generation. With thousands of artificial structures present in the North Sea, we test the hypothesis that these structures are connected by water currents and act as an interconnected reef. Population genetic structure of the Blue mussel, Mytilus edulis was expected to follow a pattern predicted by particle tracking models (PTM). Correlation between population genetic differentiation, based on microsatellite markers, and particle exchange was tested. Specimens of M. edulis were found at each location, although the PTM indicated that locations >85 km offshore were isolated from coastal sub-populations. Fixation coefficient FST correlated with the number of arrivals in the PTM. However, the number of effective migrants per generation as inferred from coalescent simulations did not show a strong correlation with the arriving particles. Isolation by distance analysis showed no increase in isolation with increasing distance and we did not find clear structure among the populations. The marine stepping-stone effect is obviously important for the distribution of M. edulis in the North Sea and it may influence ecologically comparable species in a similar way. In the absence of artificial shallow hard substrates, M. edulis would be unlikely to survive in offshore North Sea waters. Although we found an indication that FST was lower between connected locations, isolation by distance analysis showed no increase in isolation with increasing distance. Finally, we did not find clear structure among the populations.
AlzPathway regorganisation steps for increased modularity
<p>The dataset is based on the original AlzPathway map:</p> <p>Ogishima S, Mizuno S, Kikuchi M, Miyashita A, Kuwano R, Tanaka H, Nakaya J. AlzPathway, an Updated Map of Curated Signaling Pathways: Towards Deciphering Alzheimer's Disease Pathogenesis. Methods Mol Biol. 2016;1303:423-32. doi: 10.1007/978-1-4939-2627-5_25. PMID: 26235082.</p> <p>This map was gradually reorganised to duplicate strongly connected elements, reduce network distance and increase modularity.</p> <p>All files are in CellDesigner format (www.celldesigner.org) </p> <p> </p>
Sample Raw (PPG, Accel, and Gyro) and Processed (steps, calories, sleep, HR, HRV, SPO2, Respiratory Rate, R-R) data over 24 hours
<p>Over the course of 24 hours, we collected raw (Photoplethysmography (PPG), Acceleration, and Gyro) and processed (steps, calories, sleep, HR, HRV, SPO2, Respiratory Rate, R-R) data samples. Biostrap approaches health insights from a data-driven perspective. Our clinical-grade hardware enables users to accurately track SpO2, HRV, RHR, and a variety of other biometrics with confidence.</p>
Four-Step Access to the Sesquiterpene Natural Product Presilphiperfolan-1β-ol and Unnatural Derivatives via Supramolecular Catalysis
<p>Data underlying the figures in the publication “Four-Step Access to the Sesquiterpene Natural Product Presilphiperfolan-1β-ol and Unnatural Derivatives via Supramolecular Catalysis”, published in <em>ChemCatChem,</em> <strong>2020</strong>, 12, 4512–4516. <a href="https://pubs.acs.org/doi/10.1021/jacs.0c01464">https://pubs.acs.org/doi/10.1021/jacs.0c01464</a></p> <p>Table of contents:</p> <p><strong>1. Crystals</strong>; Word file with the crystallographic data for compounds <strong>4</strong> and <strong>28</strong>.</p> <p><strong>2. Crystal_4</strong>; <em>.cif</em> file for crystal structure of compound <strong>4</strong>.</p> <p><strong>3. Crystal_28</strong>; <em>.cif</em> file for crystal structure of compound <strong>28</strong>.</p> <p><strong>4. Figure_2_NMRs</strong>; MestReNova file containing NMR spectra for compounds in <em>Figure 2.</em></p> <p><strong>5. Figure2_3_GCs</strong>; Zip file containing ASCII text raw data for GC traces relevant to <em>Figures 2</em> and <em>3</em>.</p> <p><strong>6. Figure4</strong>; Word file with the computational data for <em>Figure 4.</em></p> <p><strong>7. Procedures</strong>; Word file with the procedures for <em>Schemes 2 & 3 </em>and<em> Figures 2 & 3.</em></p> <p><strong>8. Scheme_2_NMRs</strong>; MestReNova file containing NMR spectra for compounds in<em> Scheme 2</em>.</p> <p><strong>9. Scheme3_NMRs</strong>; Zip file containing NMR spectra (as .mnova files) for <em>Scheme 3</em>.</p> <p> </p>
Comparing simulations and experiments of positive streamers in air: steps toward model validation
<p>This dataset consists of files used to produce the data presented in the article "Comparing simulations and experiments of positive streamers in air: steps toward model validation". This dataset includes 1) source code for the simulations; 2) transport data files, which contain a list of included reactions, their reaction rate coefficients, and transport coefficients; 3) configuration files for running the simulations; 4) outputted log files of the simulations and 5) original experimental images.</p> <p>This dataset is for the revised paper.</p>
Towards FAIR phytolith data: first steps down a long and winding road.
<p>This is a video recording of a presentation given at the International Meeting of Phytolith Research on 7th September 2021. It introduces the FAIR phytoliths project that strives to improve the FAIRness of phytolith data for the phytolith community. It starts by explaining what FAIR is, what constraints there currently are on data sharing and what the benefits of implementing FAIR for phytolith data would be. It then goes on to explain the project - what has been done so far, our plan over the next year and also how the phytolith community can get involved. </p> <p>A pdf and powerpoint with a script of the talk can be found here: <a href="http://zenodo.org/record/5336872#.YTZUWp30lPY">10.5281/zenodo.5336872</a></p>
Embodiment of virtual feet correlates with motor performance in a target-stepping task
<p>Dataset for the human factors experiment of "Embodiment of virtual feet correlates with motor performance in a target-stepping task".</p>
Discretized bulk data by the discretization step of rFASTCORMICS used in in the publication scFASTCORMICS: A contextualization algorithm to reconstruct metabolic multi-cell population models from single-cell RNAseq data
<p>Bulk data RNAseq data were downloaded from GEO, GTEX, and other sources (see below) and discretized by the discretization step of rFASTCORMICS (Pacheco et al, 2019) used in the optimization step in scFASTCORMICS:</p> <p>CRC bulk RNAseq data were obtained from Lee et al(2020) <br> CRC control (NM) was downloaded from GSE81861 (GTEX, Healthy colon from)</p> <p>Pancreatic Human islet bulk RNAseq data was downloaded from EBI Expression Atlas (Pancreatic islet cells)</p> <p>Immune cells in pancreatic carcinoma bulk data were obtained from GEO (GSE156278)</p> <p>liver and breast cancer bulk RNAseq data were obtained from the TCGA (GSE62944)</p> <p> </p> <p>rFASTCORMICS and tutorial on rFASTCORMICS can be found: https://github.com/sysbiolux</p> <p> </p> <p> </p> <p> </p> <p><br> </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.