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864 results for “numerative”
Numerical simulation "Numerical simulation of atmospheric Lamb waves generated by the 2022 Hunga-Tonga volcanic eruption"
<p>Numerical simulation results for the atmospheric Lamb waves generated by the Hunga-Tonga volcano explosion on January 15th 2022.</p>
FIGURE. Coprolites preserved in an early Permian fern mesophyll. A, Gross morphology of a fragmentary fern frond, specimen PB23532. B, Basal part of a penultimate pinna showing sphenopteroid vegetative pinnules. C, Polished surface showing two sporangia with typical annulus structures (white arrowheads). D, SEM image showing an in situ trilete spore. E, The fertile pinnule which contains numerous coprolites along a transverse wound area. F, Enlargement showing coprolites filled with brown to black contents. G, SEM image of the same part in E. H, SEM image showing locally preserved epidermal cells and nearby coprolites. in Discovery of coprolites in an Early Permian fern mesophyll
FIGURE. Coprolites preserved in an early Permian fern mesophyll. A, Gross morphology of a fragmentary fern frond, specimen PB23532. B, Basal part of a penultimate pinna showing sphenopteroid vegetative pinnules. C, Polished surface showing two sporangia with typical annulus structures (white arrowheads). D, SEM image showing an in situ trilete spore. E, The fertile pinnule which contains numerous coprolites along a transverse wound area. F, Enlargement showing coprolites filled with brown to black contents. G, SEM image of the same part in E. H, SEM image showing locally preserved epidermal cells and nearby coprolites.
Generation-dependent functional and numerical responses of Neoseiulus californicus (Phytoseiidae) long-term reared on thorn apple pollen
<p>Raw data of Functional and numerical response of N. califrnicus on T. urticae in different generaaations</p>
Numerical data for dynamic rupture simulations of the 2016 Kumamoto earthquake
<p>Numerical data used to generate Figures in the manuscript entitled "The origin of large, long-period near-fault ground velocities during surface-breaking strike-slip earthquakes".</p>
Supplementary material for "Tweaking UD annotations to investigate the placement of determiners, quantifiers and numerals in the noun phrase"
<p>The supplementary material includes</p> <ul> <li>the Python script used to extract relevant word order patterns from the parsed corpus;</li> <li>the R script used to process the extracted data, also containing the list of lemmata;</li> <li>a spreadsheet featuring the frequency and entropy values.</li> <li>a doc file with comparative concepts for the investigated categories.</li> </ul>
Data supporting paper "Efficient numerical simulation of density-driven flows: Application to the 2- and 3-D Elder problem"
<p>Data supporting paper "Efficient numerical simulation of density-driven flows: Application to the 2- and 3-D Elder problem", Water Resources Research.</p>
Distribution. Galapagos Is in the equatorial Pacific Ocean, including all main islands and numerous smaller rocks; irregularly on Isla de la Plata off mainland Ecuador. in Otariidae
Distribution. Galapagos Is in the equatorial Pacific Ocean, including all main islands and numerous smaller rocks; irregularly on Isla de la Plata off mainland Ecuador.
Plan-form evolution of drainage basins in response to tectonic changes: Insights from experimental and numerical landscapes
<p>The following data contains raw DEMs from the experiment in the simulations referred to in the mentioned manuscript, as well as MATLAB scripts (and legend) used for the analysis of the data.</p> <p>Experiment DEMs are named after the time they were acquired within the experiment, i.e., 4.tif is the DEM of the landscape after a duration of 4 hours of experiment.</p> <p>In MATLAB scripts, the following legend is used:</p> <p>E = Experiment</p> <p>SL = Low concavity simulation</p> <p>SH = High concavity simulation</p> <p>HL = Hack's law analysis</p> <p>A = Asymmetry analysis</p> <p>C = Chi analysis</p> <p>CP = Chi prime analysis</p> <p>ADCP = Across-divide chi prime analysis</p> <p>DAI = Divide asymmetry index analysis</p> <p>CreateStructuredGrid = Function that generates GRIDobj from ASCII files</p> <p>Num_DEM_Load = Script that generates GRIDobj from ASCII files</p>
Distribution. Recorded from the Central Range of New Guinea, including the Snow Mts of Papua Province, Indonesia, and numerous localities between the Star Mts and Mt Missim in Papua New Guinea. in Muridae
Distribution. Recorded from the Central Range of New Guinea, including the Snow Mts of Papua Province, Indonesia, and numerous localities between the Star Mts and Mt Missim in Papua New Guinea.
Data for: Experimental and numerical methods to ensure comprehensible and replicable electrical stimulation experiments
<p>Replication data for "Experimental and numerical methods to ensure comprehensible and replicable electrical stimulation experiments".</p>
The role of tropical cyclone on Changjiang River subaqueous delta geomorphology: a numerical investigation of Tropical Cyclone Danas (2019)
<p>ecs_mesh: Model domain used for numerical simulation in Matlab data format.</p> <p>Variable description of ecs_mesh.mat:</p> <p>nodex/nodey: Longitude/Latitude of the vertices of the triangles</p> <p>cellx/celly: Longitude/Latitude of the faces of the triangles</p> <p>nodeh: Bathymetry of the vertices</p> <p>nv: Vertices composition of the triangles</p> <p> </p> <p>model_result_baroclinic: Used FVCOM model output from 2019-07-01 to 2019-08-01 in Matlab data format.</p> <p>Variable description of model_result_baroclinic.mat:</p> <p>SSC: Total suspended sediment concentration of all sediment classes, units: g/L</p> <p>deposition_flux: Deposition flux of suspended sediment, units: kg/m^2/h</p> <p>divergence_sed_flux: depth-integrated divergence of sediment flux, units: kg/m^2/h</p> <p>erosion_flux: Erosion flux of sea-bed surface sediment, units: kg/m^2/h</p> <p>salinity: sea water salinity, units: psu</p> <p>taub: Total bed stress, units: Pa</p> <p>time_model: Time of the results, time zone: LST</p> <p>u: Eastward water velocity, units: m/s</p> <p>v: Northward water velocity, units: m/s</p> <p>zeta: Water surface elevation</p> <p> </p> <p>model_verify: Bed elevation data from ADV, wave parameters from buoy, and bottom suspended sediment concentration from OBS in Matlab data format.</p> <p>Variable description of model_verify.mat:</p> <p>ADV_BEC_xx: Bed Elevation measurement from ADV at Station xx, units: mm</p> <p>ADV_time_xx: Measurement time of bed elevation of ADV at Station xx, time zone: LST</p> <p>Buoy_hs_S1: Significant wave height measurement from Buoy at Station S1, units: m</p> <p>Buoy_time_S1: Measurement time of Buoy at Station S1, time zone: LST</p> <p>Buoy_tpeak_S1: Peak wave period measurement from Buoy at Station S1, units: s</p> <p>OBS_SSC_S1: Suspended sediment concentration measurement from OBS at Station S1, units: g/L</p> <p>OBS_time_S1: Measurement time of OBS at Station S1, time zone: LST</p> <p>tauc_mtke_S1: In-situ bottom shear stress calculated from turbulence kinetic energy method, units: Pa</p> <p>time_mtke_S1: Time of calculated bottom shear stress, time zone: LST</p> <p>time_wind: Time of surface wind at S1 from CFSv2 model from 2019-06-01 to 2019-08-01 time zone: LST</p> <p>u_wind: Eastward velocity of surface wind at S1 from CFSv2 model, units: m/s</p> <p>v_wind: Northward velocity of surface wind at S1 from CFSv2 model, units: m/s</p>
FIGURE. Cladosporium aulonemiae (VIC 44413, holotype). A–D. Colonies on A. Potato dextrose agar; B. Malt extract agar; C. Oatmeal agar; D. Synthetic nutrient-poor agar, after 14 days at 25 ºC, under near-ultraviolet light, respectively. E–G. Macronematous conidiophores and numerous conidia; H–I. Formation of loci in close succession; I. Spread polysaccharide-like material; J. Micronematous conidiophores; K. Ramoconidia and conidia; L. Microcyclic conidiogenesis; M. Stromatic hyphal aggregation. Scale bars: E–M = 20 µM. in Six new species of Cladosporium associated with decayed leaves of native bamboo (Bambusoideae) in a fragment of Brazilian Atlantic Forest
FIGURE. Cladosporium aulonemiae (VIC 44413, holotype). A–D. Colonies on A. Potato dextrose agar; B. Malt extract agar; C. Oatmeal agar; D. Synthetic nutrient-poor agar, after 14 days at 25 ºC, under near-ultraviolet light, respectively. E–G. Macronematous conidiophores and numerous conidia; H–I. Formation of loci in close succession; I. Spread polysaccharide-like material; J. Micronematous conidiophores; K. Ramoconidia and conidia; L. Microcyclic conidiogenesis; M. Stromatic hyphal aggregation. Scale bars: E–M = 20 µM.
Numerical data for dynamic rupture simulations of coseismic slickenlines on non-planar and rough faults
<p>Numerical data used to make Figures in the manuscript entitled "Dynamic simulations of coseismic slickenlines on non-planar and rough faults (Aoki et al., GJI)"</p>
Influence of Inner Surface Roughness on the SIP Response - a Numerical Study
<p>Supporting data for publication</p> <p>This repository contains Matlab scripts, Comsol Multiphysics models, and numerical simulation data used to generate the plots in the manuscript. Comsol models are those with the <em>.mph</em> extension and were created with Comsol Multiphysics v 5.5. All numerical data used in the manuscript is available without running the Comsol simulation.</p>
Data for "Identification of Karst Spring Hydrographs Using Laboratory and Numerical Simulations Considering Combined Discrete-Continuum Approaches"
<p>This is the dataset for "Identification of Karst Spring Hydrographs Using Laboratory and Numerical Simulations Considering Combined Discrete-Continuum Approaches”.</p>
Outputs of Numerical experiments verifying the diverse interannual variability of Asian summer monsoon onset process
<p><strong>Introduction</strong></p> <p>We designed two sets of numerical experiments using the Community Earth System Model (CESM 1.2.2) released by NCAR to verify the SSTAs' effect on the interannual modes of ASMOP in April and May. In the atmospheric general circulation model (AGCM) experiments, we solely forced the Community Atmosphere Model version 5.3 (CAM5.3), the atmospheric component of the CESM 1.2.2, by the specific SSTAs in April–May. The AGCM control run included a 40-yr integration forced by the climatological sea surface temperature (SST) with the annual cycle. We attached the specific SSTAs to the climatological SST in each sensitivity experiment and integrated them for 40 years. The ensemble results in the last 30 years were used for analysis. By contrast, in the PACEMAKER experiments, we first integrated the CESM 1.2.2 for 200 years as a control run to exclude the evident climate shift. Afterward, the sensitivity experiments were conducted on the last 100-yr outputs of the control run, in which we nudged the April–May SSTAs in the specific domain but left the rest of the model's coupled climate system free to evolve. The last 30 members were ensembled for analysis in each PACEMAKER experiment. </p> <p><strong>Numerical Experiment Design</strong></p> <p>In the AGCM category, we forced CAM 5.3 by warm SSTAs in the southwestern Indian Ocean (20°S-0°, 40°-80°E) in the ASMOP-PC2 experiment but by cold SSTAs in the western North Pacific (0°-20°N, 120°-160°E) in the ASMOP-PC3 experiment from April to May, respectively. Similar SSTAs were nudged in the two oceanic domains from April to May in the PACEMAKER category.</p> <p><strong>File Description</strong></p> <ol> <li>Output files were saved in the NetCDF format.</li> <li>The "AGCM.tar.gz" and "PACEMAKER.tar.gz" was the compressed files of the atmospheric outputs in May in the AGCM and PACEMAKER experiments, respectively.</li> <li>In each compressed file, the results of the control run (in the subfolder named "Control_Run"), ASMOP-PC2 (in the subfolder named "ASMOP-PC2"), and ASMOP-PC3 (in the subfolder named "ASMOP-PC3") sensitivity experiments were included for comparison.</li> </ol>
Discrete-continuum numerical simulations of saltation over a rigid, bumpy bed
<p><span><span><span>The data provided here were obtained from discrete-continuum numerical simulations of saltation over a rigid, bumpy bed. The details of the simulation</span></span><span><span>s</span></span><span><span> are reported in the article entitled “</span></span><span><span><strong>Collisionless kinetic theory for saltation over a rigid, bumpy bed” </strong></span></span><span><span>by D. Berzi, A. Valance and J.T. Jenkins published in 2024 in the Journal of Fluid Mechanics.</span></span></span></p>
Numerical data supporting the publication "Accurate and gate-efficient quantum Ansätze for electronic states without adaptive optimization"
<p>Numerical data and plotting scripts for regenerating figures in the article "Accurate and gate-efficient quantum ansätze for electronic states without adaptive optimisation".</p> <p>See README for more details.</p>
Output files of the Wd_WD model from Baïsset et al. paper entitled « Weakening induced by phase nucleation in metamorphic rocks: insights from numerical models »
<p>Here you can find the Output files of the Wd_WD Model.</p> <p>These files can be read using the files "ReadHDF5_Baisset2024.m" provided with the code here: </p> <p>https://doi.org/10.5281/zenodo.11473988</p>
Output files of the reference model from Baïsset et al. paper entitled « Weakening induced by phase nucleation in metamorphic rocks: insights from numerical models »
<p>Here you can find the Output files of the Reference Model.</p> <p>These files can be read using the files "ReadHDF5_Baisset2024.m" provided with the code here: </p> <p>https://doi.org/10.5281/zenodo.11473988</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.