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1,630 results for “stepping”
Tailoring PVDF Membranes Surface Topography and Hydrophobicity by a Sustainable Two-Steps Phase Separation Process: dataset
<p>This is the dataset related to the article published in ACS Sustainable Chemistry & Engineering “Tailoring PVDF Membranes Surface Topography and Hydrophobicity by a Sustainable Two-Steps Phase Separation Process” DOI: 10.1021/acssuschemeng.8b01407</p>
Catalogue of Stepped Pools
<p>This dataset lists, describes, and provides relevant bibliography to all known stepped pools in Galilee from the Hellenistic to Byzantine periods that have been exposed through archaeological excavations or field surveys. It forms part of the dataset used in the book <em>Being Jewish in Galilee, 100–200 CE: An Archaeological Study</em> (Brepols). The dataset is available in both PDF and CSV format. The PDF file provides a detailed description of and bibliography for each stepped pool. The CSV file contains the raw data that can be easily imported into spreadsheets and databases.</p>
Simulation data for the step-by-step verification of PIC-MCC codes from VKI and LPP
<p>This dataset contains the results of PIC-MCC simulations of a 2D plasma in a box in 7 test cases with different boundary conditions. The results can be used to verify the correct implementation of PIC and MCC routines. The simulations are performed using the LPPic code, developed at the Laboratoire de Physique des Plasmas (LPP) at École polytechnique, and with Pantera, developed at the von Karman Institute for Fluid Dynamics (VKI).</p> <p><strong>CrossSections.zip</strong> contains the cross-sections used in the simulations in tabulated form. The first column is the collision energy in the center-of-mass frame in [eV]. The second column is the cross-section in [m²]. The cross-section for elastic e−H and electron impact excitation are taken from the Morgan database on LXCat (<a href="https://nl.lxcat.net">https://nl.lxcat.net</a>). The cross sections for H+−H elastic and charge exchange collisions are taken from the tabulated data in Schultz <em>et al.</em>. The ionization cross section corresponds to the fit of Janev <em>et al.</em>, but the energy has been scaled down by a factor of 10 for practical reasons.</p> <p><strong>DensityTemporalProfiles_xxx.csv</strong> contain the temporal evolution of the mean electron and ion density, normalized to the initial density. The data from VKI also contains the corresponding confidence interval estimates.</p> <p><strong>DensitySpatialProfiles_xxx.csv</strong> contain the spatial profiles along the x-coordinate (x in [0,1]m) of the electron and ion densities at the lat time step (t = 5 μs), spatially avergaed in the interval 0.4 m < y < 0.6 m. The data from VKI also contains the corresponding confidence interval estimates.</p> <p><strong>ResultsComparison.zip </strong>contains the temporal history of many domain-integrated quantities (number of particles, total momentum, energies, ...) for each run of each test case using both codes.</p> <p><strong>ErrorQuantification.zip</strong> contains the results of the same integrated quantities, in addition to a final snapshot of the simulation domain, for each test case at three progressive levels of refinement, obtained using the VKI code. These data has been used to compute the confidence intervals for temporal and spatial quantities.</p> <p><strong>DensityConvergenceRate.pdf </strong>contains plots of the effective convergence rate for the mean density of electrons and ions as a function of time for all test cases, computed using the VKI code.</p>
Failure without tears: Two-step attachment in a climbing cactus
<p>Climbing plants can be extremely adaptable to diverse habitats and capable of colonizing perturbed, unstructured and even moving environments. The timing of the attachment process, whether instantaneous (e.g., a pre-formed hook) or slow (growth process) crucially depends on the environmental context and the evolutionary history of the group concerned. We observed how spines and adhesive roots develop and tested their mechanical strength in the climbing cactus <em>Selenicereus setaceus</em> (Cactaceae) in its natural habitat. Spines are formed on the edges of the triangular cross section of the climbing stem and originate in soft axillary buds (areoles). Roots are formed in the inner hard core of the stem (wood cylinder) and grow via tunnelling through soft tissue, emerging from the outer skin. We measured maximal spine strength and root strength via simple tensile tests using a field measuring Instron device. Spine and root strengths differ, and this has a biological significance for the support of the stem. Our measurements indicate that the measured mean strength of a single spine could theoretically support an average force of 2.8 N. This corresponds to an equivalent stem length of 2.62 m (mass of 285 g). The measured mean strength of root could theoretically support an average of 13.71 N. This corresponds to a stem length of 12.91 m (mass of 1398 g). We introduce the notion of two-step attachment in climbing plants. In this cactus, the first step deploys hooks to attach to a substrate; this process is instantaneous and is highly adapted for moving environments. The second step involves root growth for more solid attachment to the substrate; this process involves “slow” root growth and adhesion. The advantage of the two-step strategy is that fast hook attachment can steady the plant for the slower root attachment. This strategy is effective in highly variable and heterogeneous environments when climbing plants are faced with constant moving and perturbed environmental conditions in many ecosystems. We discuss how two-step mechanisms are of interest for technical anchoring applications particularly for “soft-bodied” artefacts, which have to deploy hard and stiff materials originating from a soft compliant body and where tasks involving attachment take place in highly unstable and unpredictable environments.</p>
Demo accompanying the poster "First steps towards a workflow for 3D-models based on IIIF"
<p>This demo illustrates first attempts to develop an automatised workflow to create light-weight 3D-models from the original heavy files which can be viewed and annotated in an IIIF-compatible manner.</p>
"Planning Hybrid Driving-Stepping Locomotion for Ground Robots in Challenging Environments" video material
<p>"Planning Hybrid Driving-Stepping Locomotion for Ground Robots in Challenging Environments" video material</p>
Flume experiments on the effects of sediment feed rates on step formation, evolution and stability
<p>The dataset contains:</p> <p>- Digital Elevation Models of the experiments collected every hour</p> <p>- Pics of the Bed topography collected every hour</p> <p>- Step number, location, evolution (as described in the paper submitted to Earth Surface Dynamics)</p> <p>- Bed grain-size distribution, sediment and sediment concentration.</p>
Fig. 3 in Description of five new species in the genus Phlyctinus Schoenherr (Coleoptera, Curculionidae): a first step in deciphering the P. callosus complex
Fig. 3 (opposite page). A–B. Ventrites of males of Phlyctinus Schoenherr, 1826 (left: ventrites 1–5, right: ventrite 5). A. P. callosus (Schoenherr, 1826). B. P. grootbosensis Haran sp. nov. C–D. Ventrite 5. C. P. xerophilus Haran sp. nov., holotype ♂. D. P. planithorax Haran sp. nov. E–F. Vestiture of basal right side of elytra. E. P. callosus (Schoenherr, 1826) (left). F. P. littoralis Haran sp. nov. Scale bars = 0.5 mm.
Fig. 2 in Description of five new species in the genus Phlyctinus Schoenherr (Coleoptera, Curculionidae): a first step in deciphering the P. callosus complex
Fig. 2. Penis of Phlyctinus Schoenherr, 1826, in dorsal (left) and lateral (right) view, and copulatory sclerite (top right). A. P. callosus (Schoenherr, 1826). B. P. grootbosensis Haran sp. nov. C. P. xerophilus Haran sp. nov., holotype ♂. D. P. planithorax Haran sp. nov., holotype ♂. E. P. littoralis Haran sp. nov., holotype ♂. F. P. aloevorus Haran sp. nov., holotype ♂. Scale bars = 500 µm. Copulatory sclerite not to scale.
Fig. 4 in Description of five new species in the genus Phlyctinus Schoenherr (Coleoptera, Curculionidae): a first step in deciphering the P. callosus complex
Fig. 4 (opposite page). Habitus in natura, host plants and biotopes of Phlyctinus Schoenherr, 1826 species. A. P. callosus (Schoenherr, 1826). B. P. xerophilus Haran sp. nov. C–D. P. grootbosensis Haran sp. nov. and its host plant, Osteospermum moniliferum L. E–F. P. planithorax Haran sp. nov. and its host plant, Hymenolepis crithmifolia (L.) Greuter. G–H. Biotope and host plant (Arctotis angustifolia L.) of P. littoralis Haran sp. nov. I–J. P. aloevorus Haran sp. nov. on its host plant, Aloe arborescens Mill., with details of feeding damage on floral peduncle
Robust step detection from different waist-worn sensor positions – implications for clinical studies
<p>The dataset contains tri-axial acceleration and gyroscope data (100 Hz sampling) from walks from 19 healthy volunteers, each walking up to three times a parcours of 20 meters with self-selected speed, slow speed or with five soft turns at self-selected speed. Each participant wore 11 time-synchronized sensors during these tests: left/right foot, 5 around waist, non-dominant wrist and upper arm and collar and pocket. In addition to the sensor recordings each 20 meter walk was timed with a stop-watch. </p> <p>Also see: <a href="https://doi.org/10.1159/000511611">https://doi.org/10.1159/000511611</a></p>
In silico prediction of ARB resistance: A first step in creating personalized ARB therapy
<p><strong>AT1R Model preparation</strong><br> The crystal structure of human AT1R bound to olmesartan (PDB: 4ZUD) was downloaded from the RCSB Protein Data Bank. 4ZUD contains apocytochrome b562RIL fused to the amino terminus, and many of the flexible regions, as well as helix 8, are not resolved. In order to generate an appropriate starting structure, olmesartan and the apocytochrome b562RIL fusion were removed from 4ZUD, and the missing regions were added to the protein with MOE software (Chemical Computing Group ULC, Montreal, Canada). Specifically, the N-Terminus (residues 1 to 25), intracellular loop 2 (residues 134 to 140), extracellular loop 2 (residues 186 to 188), intracellular loop 3 (residues 223 to 234), and helix 8 (residues 305 to 316) were added to the AT1R in accordance to the human AT1R sequence and PDB:4YAY. The remaining carboxyl-tail of the AT1R (residues 317 to 359) was not modeled. The AT1R model then underwent an energy minimization within MOE using the Amber10:Extended Huckel Theory (EHT) force field.</p> <p><strong>Molecular dynamic (MD) simulations and analysis</strong><br> The MOE minimized AT1R was loaded into CHARMM-GUI. An 80 Å by 80 Å lipid bi-layer composed of 13% cholesterol and 87% Phosphatidylcholine (POPC) was generated around the receptor. Water was packed 17.5 Å above and below the lipid bi-layer, and 150 mM Na+ and Cl- ions were added to the system via Monte-Carlo ion placing. The all-atom CHARMM C36 force field for proteins and ions, and the CHARMM TIP3P force field for water were selected. A hard non-bonded cutoff of 8.0 angstroms was utilized. All molecular dynamics simulations were performed using the PMEMD module of the AMBER16 package with support for MPI multi-process control and GPU acceleration code. Orthorhombic periodic boundary conditions with a constant pressure of 1 atm was set via the NPT ensemble and temperature was set to 310.15°K (37°C) using Langevin dynamics. The SHAKE algorithm was used to constrain bonds containing hydrogens. The dynamics were propagated using Langevin dynamics with Langevin damping coefficient of 1 ps-1 and a time step of 2 fs. Before the production run, the AT1R model was minimized for 5000 steps using the steepest descent method and then equilibrated for 600 ps. The protein coordinates were saved in 10 ps intervals. The production run lasted 150 ns, at which point all three replicas were stable for at least the last 20 ns.</p>
Next Steps: How the FDNext Project is Tackling Research Data Management … and Farewell to Emma
<p>In this episode we talk to Kerstin Helbig about the research data management (RDM)project FDNext, which is also where our co-host Emma Harris' new role will be based. We discussed what the approach of FDNext is, the challenges of implementing effective RDM, and how it fits into the wider framework of Open and FAIR Data initiatives. </p> <p><strong>Episode Links</strong></p> <p><a href="https://www.forschungsdaten.org/index.php/FDNext">FDNext (German language)</a></p> <p><a href="https://zenodo.org/record/4071471#.X791NmhKhPY">FDMentor RDM Train-the-Trainer Concept</a></p> <p><a href="https://www.researchgate.net/profile/Kerstin_Helbig">Kerstin Helbig</a></p> <p><a href="https://www.linkedin.com/in/emma-a-harris-6bb865123/">Emma Harris</a></p>
Old Mandu (बूढ़ी मांडू/बूढ़ी मांडव), Dhār district, Madhya Pradesh. Step well.
<p>Old Mandu (बूढ़ी मांडू), Dhār district, Madhya Pradesh. Step well. Photo 2/2010.</p>
Flexible planar supercapacitors by straightforward filtration and laser processing steps
<p>Dataset for publication (journal article):</p><p>Flexible planar supercapacitors by straightforward filtration and laser processing steps</p><p>by Olli Pitkänen, Toprak Eraslan, Dániel Sebők, Imre Szenti, Ákos Kukovecz, Robert Vajtai and Krisztian Kordas</p><p>Published 22 September 2020 • © 2020 The Author(s). Published by IOP Publishing Ltd </p><p>Nanotechnology, Volume 31, Number 49 </p><p>Citation: Olli Pitkänen et al 2020 Nanotechnology 31 495403</p><p>DOI: 10.1088/1361-6528/abb336</p>
Text-fig. 9. Phylogenetic tree indicating the number of required character state changes (steps) under parsimony for various positions of Miranthus gen. nov. in a molecular based backbone tree (see material and methods for additional details). in Early Flowers Of Primuloid Ericales From The Late Cretaceous Of Portugal And Their Ecological And Phytogeographic Implications
Text-fig. 9. Phylogenetic tree indicating the number of required character state changes (steps) under parsimony for various positions of Miranthus gen. nov. in a molecular based backbone tree (see material and methods for additional details).
A step towards understanding plastic complexity: antimony speciation in consumer plastics and synthetic textiles revealed by XAS - supporting data
<p>This dataset contains all data related to "A step towards understanding plastic complexity: antimony speciation in consumer plastics and synthetic textiles revealed by XAS"</p>
EUV-Induced Hydrogen Desorption As A Step Towards Large-Scale Silicon Quantum Device Patterning
<p><strong>Dataset: </strong>STM, XPS and PEEM raw data, processed data and the codes used for data fitting our <a href="https://doi.org/10.1038/s41467-024-44790-6">published work</a> are all available here.</p> <p><strong>Abstract: </strong>Atomically precise hydrogen desorption lithography using scanning tunnelling microscopy (STM) has enabled the development of single-atom, quantum-electronic devices on a laboratory scale. Scaling up this technology to mass-produce these devices requires bridging the gap between the precision of STM and the processes used in next-generation semiconductor manufacturing. Here, we demonstrate the ability to remove hydrogen from a monohydride Si(001):H surface using extreme ultraviolet (EUV) light. We quantify the desorption characteristics using various techniques, including STM, X-ray photoelectron spectroscopy (XPS), and photoemission electron microscopy (XPEEM). Our results show that desorption is induced by secondary electrons from valence band excitations, consistent with an exactly solvable non-linear differential equation and compatible with the current 13.5 nm (~92 eV) EUV standard for photolithography; the data imply useful exposure times of order minutes for the 300 W sources characteristic of EUV infrastructure. This is an important step towards the EUV patterning of silicon surfaces without traditional resists, by offering the possibility for parallel processing in the fabrication of classical and quantum devices through deterministic doping.</p> <p> </p>
FORCe step-down-and-pivot biomechanical dataset
<p>Copyright (c) 2023 by La Trobe University </p> <p>This work is licensed under CC BY 4.0.</p> <p>----------------------------------------</p> <p>Correspondence: Prasanna Sritharan, p.sritharan@latrobe.edu.au</p> <p>Biomechanical data for the step-down-and-pivot task underaken as part of the FORCe project at the La Trobe Sports & Exercise Medicine Research Centre, La Trobe University, Victoria, Australia.</p> <ul> <li>Experimental joint angles and joint moment data for the step-down-and-pivot task. </li> <li>Relevant participant demographic data is provided.</li> <li>All valid participants and trials provided.</li> <li>All participants are fully de-identified.</li> <li>Joint angles are provided in degrees, and joint moments normalised to % of body weight * height.</li> <li>All trials resamples to 101 time steps, with a time vector provided.</li> </ul> <p>Any use of this data must cite the following published work:</p> <p>Crossley K, Pandy MG, Majumdar S, Smith AJ, Semciw AI, Kemp JL, Heerey JJ, King MG, Lawrenson PR, Lin YC, Souza RB. Femoroacetabular impingement and hip OsteoaRthritis Cohort (FORCe): protocol for a prospective study. Journal of Physiotherapy. 2017 Jan 1. <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.jphys.2017.10.004" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.jphys.2017.10.004</a></p>
Data for : Effects of electrokinetic and ultrasonication pre-treatment and two-step anaerobic digestion of biowastes on the nitrogen fertiliser value by injection or surface banding to cereal crops
<p>Data file for article: Effects of electrokinetic and ultrasonication pre-treatment and two-step anaerobic digestion of biowastes on the nitrogen fertiliser value by injection or surface banding to cereal crops (https://doi.org/10.1016/j.jenvman.2022.116699).</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.