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864 results for “numerative”

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zenodo32/100

PQG Numerical Tests Data

<p>Files contain a collection of PQG data (*.mat) with different evaporation rates in the paper &quot;Combining Stochastic Parameterized Reduced-Order Models with Machine Learning for Data Assimilation and Uncertainty Quantification with Partial Observations&quot;. Three data sets includes E=0.0.2, E=0.2, E=0.35.&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jan 2023View details →
zenodo32/100

Datasets for numerical Monte Carlo simulations of Diclofenac bio-degradation in a soil-water system

<p>This record contains files and main instructions to repeat the numerical simulations of Diclofenac bio-degradation is a soil-water system. The text file Readme.docx contains a description of the overall content of this record, which is organized in two separate&nbsp;folders.</p>

opencc-by-4.0Jul 2022View details →
zenodo32/100

Supplementary material 4 from: Auliya M, Altherr S, Nithart C, Hughes A, Bickford D (2023) Numerous uncertainties in the multifaceted global trade in frogs' legs with the EU as the major consumer. Nature Conservation 51: 71-135. https://doi.org/10.3897/natureconservation.51.93868

Amphibian species assessed in the IUCN Red List that are utilized either doemticalyy/nationally and or internationally

opencc-zeroFeb 2023View details →
zenodo32/100

Supplementary material 2 from: Auliya M, Altherr S, Nithart C, Hughes A, Bickford D (2023) Numerous uncertainties in the multifaceted global trade in frogs' legs with the EU as the major consumer. Nature Conservation 51: 71-135. https://doi.org/10.3897/natureconservation.51.93868

Anuran species assessed in the IUCN Red List with uncertainties mainly prevailing in national/international trade routes, and level of exploitation

opencc-zeroFeb 2023View details →
zenodo32/100

Numerical results data of 'Impact of Injection Pressure and Polyaxial Stress on Hydraulic Fracture Propagation and Permeability Evolution in Greywacke: Insights from Discrete Element Models of a Laboratory Test'

<p>Numerical results data of &#39;<strong>Impact of Injection Pressure and Polyaxial Stress on Hydraulic Fracture Propagation and Permeability Evolution in Greywacke: Insights from Discrete Element Models of a Laboratory Test</strong>&#39;</p>

opencc-by-4.0Feb 2023View details →
zenodo32/100

A numerical study on melt water feedback in the coupled Arctic Sea ice-ocean system

<p>This dataset contains one-dimensional model code and input files for studying the effects of&nbsp;melt water on upper ocean stratification and sea ice melt and growth. The model used in this study is the Massachusetts Institute of Technology general circulation model (MITgcm). Original source code is the MITgcm_c66m.</p> <p>code_1frw: contains control run configuration.&nbsp;</p> <p>code_08frw: contains sensitivity experiment (MWP-80% run) configuration.&nbsp;</p> <p>code_06frw: contains sensitivity experiment (MWP-60% run) configuration.&nbsp;</p> <p>code_04frw: contains sensitivity experiment (MWP-40% run) configuration.&nbsp;</p> <p>code_02frw: contains sensitivity experiment (MWP-20% run) configuration.&nbsp;</p> <p>code_0frw: contains sensitivity experiment (MWP-0% run) configuration.&nbsp;</p> <p>input: contains parameter settings and input files for all experiment.</p> <p>model results: the model results used in this paper.</p>

opencc-by-4.0Feb 2023View details →
zenodo32/100

Numerical simulations reproduce field observations showing transient weakening during shear zone formation by diffusional hydrogen influx and H2O inflow

<p>Abstract of the corresponding paper:</p> <p>Exposures on Holsn&oslash;y island (Bergen Arcs, Norway) indicate fluid infiltration through fractures into a dry, metastable granulite, which triggered a kinetically delayed eclogitization, a transient weakening during fluid-rock interaction, and formation of shear zones that widened during shearing. It remains unclear whether the effects of grain boundary-assisted aqueous fluid inflow on the duration of granulite hydration were influenced by a diffusional hydrogen influx accompanying the fluid inflow. To better estimate the fluid infiltration efficiencies and the parameter interdependencies, a 1D numerical model of a viscous shear zone is utilized and validated using measured mineral phase abundance distributions and H<sub>2</sub>O-contents in nominally anhydrous minerals (NAMs) of the original granulite assemblage to constrain the hydration by aqueous fluid inflow and diffusional hydrogen influx, respectively. Both hydrations are described with a diffusion equation and affect the effective viscosity. Shear zone kinematics are constrained by the observed shear strain and thickness. The model fits the phase abundance and H<sub>2</sub>O-content profiles if the effective hydrogen diffusivity is approximately one order of magnitude higher than the diffusivity for aqueous fluid inflow. The observed shear zone thickness is reproduced if the viscosity ratio between dry granulite and deforming, re-equilibrating eclogite is ~10<sup>4</sup> and that between dry granulite and hydrated granulite is ~10<sup>2</sup>. The results suggest shear velocities &lt;10<sup>-2</sup> cm/a, hydrogen diffusivities of ~10<sup>-13&plusmn;1</sup> m<sup>2</sup>/s, and a shearing duration of &lt;10 years. This study successfully links and validates field data to a shear zone model and highlights the importance of hydrogen diffusion for shear zone widening and eclogitization.</p> <p>&nbsp;</p> <p>The files uploaded here represents the numerical codes and dataset utilized to produce the results presented in the associated paper.<br> Find a description of the single code files ([<em>name</em>].m) in the ST1.doxc file.</p>

opencc-by-4.0Mar 2023View details →
zenodo32/100

ANOVA test results for Figure 4, as well as tables with post hoc results where all P values are presented in numerical form.

<p>ANOVA test results for Figure 4, as well as tables with post hoc results where all P values are presented in numerical form.</p>

opencc-by-4.0Mar 2023View details →
zenodo32/100

ANOVA test results for Figure 2, as well as tables with post hoc results where all P values are presented in numerical form.

<p>ANOVA test results for Figure 2, as well as tables with post hoc results where all P values are presented in numerical form.</p>

opencc-by-4.0Mar 2023View details →
zenodo32/100

ANOVA test results for Figure 1, as well as tables with post hoc results where all P values were presented in numerical form.

<p>ANOVA test results for Figure 1, as well as tables with post hoc results where all P values were presented in numerical form.</p>

opencc-by-4.0Mar 2023View details →
zenodo32/100

ANOVA test results for Figure 3, as well as tables with post hoc results where all P values are presented in numerical form.

<p>ANOVA test results for Figure 3, as well as tables with post hoc results where all P values are presented in numerical form.</p>

opencc-by-4.0Mar 2023View details →
zenodo32/100

ANOVA test results for Figure 5, as well as tables with post hoc results where all P values are presented in numerical form.

<p>ANOVA test results for Figure 5, as well as tables with post hoc results where all P values are presented in numerical form.</p>

opencc-by-4.0Mar 2023View details →
zenodo32/100

base data for numerical methods exercise

<p>base data for numerical methods exercise</p>

opencc-by-4.0Apr 2023View details →
zenodo32/100

Data of Numerical simulation data and experimental data for vertical mixing schemes

<p>This&nbsp;dataset&nbsp;contains the&nbsp;Numerical simulation data and experimental data in paper_data file. The new scheme is saved in the &#39;mypackage&#39; folder in paper_code file.</p>

opencc-by-4.0Apr 2023View details →
zenodo32/100

Datasets associated with the publication: "The three-dimensional structure of fronts in mid-latitude weather systems in numerical weather prediction models".

<p>ECMWF HRES and ERA5 datasets&nbsp;for the paper &quot;The three-dimensional structure of fronts in mid-latitude weather systems in numerical weather prediction models&quot;.</p> <p>Content:&nbsp;</p> <p>========================================================================================</p> <p>Storm Friederike:</p> <p>ECMWF HRES forecast, 18.01.2018 00:00 UTC - 23:00 UTC, hourly,&nbsp;GRIB-format.</p> <p>ECMWF ERA5 reanalysis,&nbsp;16.01.2018 12:00 UTC - 19.01.2018 00:00 UTC, twelve-hourly data,&nbsp;GRIB-format.</p> <p>========================================================================================</p> <p>Storm Vladiana:</p> <p>ECMWF HRES analysis, 23.09.2016&nbsp;00:00 UTC - 23.09.2016&nbsp;00:00 UTC, six-hourly data, rotated North Pole (latitude: 51˚, longitude:&nbsp;160˚), NetCDF-format.</p> <p>========================================================================================</p> <p>Storm Egon:</p> <p>ECMWF ERA5 reanalysis, 12.01.2017&nbsp;00:00 UTC - 13.01.2017&nbsp;06:00 UTC, six-hourly data,&nbsp;GRIB-format.</p>

openother-openMay 2023View details →
zenodo32/100

Effect of urban heat island mitigation strategies on precipitation and temperature in Montreal, Canada: case studies - Data from numerical experiments

<p>Surface data from the numerical experiments for the paper : &quot;Effect of urban heat island mitigation strategies on precipitation and temperature in Montreal, Canada: case studies&quot;, submitted in PLOS Climate.&nbsp;</p> <p>The data is in NetCDF, structure as follow: 1 file per initialization date&nbsp;that contains the model outputs for the surface variables (air temperature, dew-point, relative humidity) and 1 file per initialization date that contains the accumulated precipitation.&nbsp;</p>

opencc-by-4.0Mar 2023View details →
zenodo32/100

A numerical exploration of hyporheic zone solute transport behavior estimated from electrical resistivity inversions

<p>1). We run the Comsol model (ER3D_cs300ws6ds20_Zxl1.m) with an electrical push-pull loop, and then the voltage at every electrode of each time is printed to model_name.out and resistivity to model_name.ro.&nbsp;</p> <p>2). superposition.m is used to create final voltage results for later use in R2 inversions.</p> <p>3). postproc_c_dual.m is used to create the pixel breakthrough curves of the simulated results.</p> <p>4). plot_c_comsol.m read the resistivity result from step (1), convert the resistivity to bulk EC, and plot the bulk EC contour map.&nbsp;</p> <p>5). protocal_pc.m is used to take the voltages, add some random noise, and make the input files and batch scripts for R2.</p> <p>6). runr2.bat and runr2_TL.bat are used to generate inverted bulk EC.</p> <p>7). plot_C_r2_dual.m is used to plot the inversed bulk EC.</p>

opencc-by-4.0May 2023View details →
zenodo32/100

Elucidating the Magma Plumbing System of Ol Doinyo Lengai (Natron Rift, Tanzania) Using Satellite Geodesy and Numerical Modeling: Supplementary Model Files

<p>Supplementary code and model files for the manuscript entitled &quot;Elucidating the Magma Plumbing System of Ol Doinyo Lengai (Natron Rift, Tanzania) Using Satellite Geodesy and Numerical Modeling&quot;. OlDoinyoLengai_code_and_models.zip contains all necessary Matlab code, functions, input and output files for the GNSS, InSAR, and joint inversions presented in our manuscript necessary to reproduce the results.&nbsp;dMODELS is an open source code developed by the United States Geological Survey. The originally published program is available here:&nbsp;https://pubs.usgs.gov/tm/13/b1/ and the revised software archived here will also be available through the USGS website code.usgs.gov/vsc/publications/OlDoinyoLengai or by contacting Maurizio Battaglia. With this manuscript we are providing an update to dMODELS that includes improved graphics and joint inversion capabilities for both InSAR and GNSS data.&nbsp;</p>

opencc-by-4.0Aug 2022View details →
zenodo32/100

Numerical experimental data about mixing time step of tracer-aided model

<p>This is the numerical experimental data about mixing time step of tracer-aided model related to the response letter of manuscript HYDROL49160 in Journal of Hydrology</p>

opencc-by-4.0Jun 2023View details →
zenodo32/100

Dataset, setups and scripts to numerically reproduce the breaching process

<p>This dataset is part of the article: Numerical investigation of mode failures in submerged granular columns - E. P. Montell&agrave;, J. Chauchat, C. Bonamy, D. Weij, G. H. Keetels and T. J. Hsu.</p> <p>This file contains the numerical results obtained with SedFoam to model the breaching experiments of Weij (2020) (full thesis available at https://pure.tudelft.nl/ws/portalfiles/portal/84166231/2020_03_05_thesis_dweij.pdf ).</p> <p>The folder and files are set to reproduce the Experiments 8 and 16 in case the user wants to re-launch the numerical simulations. These simulations can be executed with ./Allrun.</p> <p>Two Python scripts are available for post-processing. The Python scripts require the fluidfoam package to be installed and it is freely available at https://github.com/fluiddyn/fluidfoam .</p> <p>&nbsp;</p>

opencc-by-2.0Jul 2023View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.