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10 results for “Monte Carlo methods”

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zenodo44/100

Accompanying dataset for: A Monte Carlo Method for Metamorphic Testing of Machine Translation Services

<p>This dataset includes enhanced analysis of the machine translation data. The original dataset has been reported in [1], where white spaces were used to separate words in different languages. This is however not the best method of analyzing some Asian languages such as the Chinese language. In the present analysis, we used a character-based approach to separating the Chinese and Japanese results, hence obtaining a different set of BLEU and Cosine Similarity scores. These new scores are given in the present dataset.</p> <p>[1] Daniel Pesu, Zhi Quan Zhou, Jingfeng Zhen, &amp; Dave Towey. (2018). Accompanying dataset for: A Monte Carlo Method for Metamorphic Testing of Machine Translation Services (Version 1.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.1194560</p>

opencc-by-4.0Apr 2018View details →
zenodo40/100

TREXIO files used for the validation tests in the paper entitled 'TurboGenius: Python suite for high-throughput calculations of ab initio quantum Monte Carlo methods'.

<p>The TREXIO files used for the validation tests in the paper entitled TurboGenius: Python suite for high-throughput calculations of ab initio quantum Monte Carlo methods. The detail about the TREXIO library is described in the JCP article [J. Chem. Phys. 158, 174801 (2023)] and the GitHub repository [https://github.com/TREX-CoE/trexio]. The TREXIO files were generated using TREXIO version 2.3.2 (and the corresponding Python API version 1.3.2).</p>

opencc-by-4.0Nov 2023View details →
zenodo40/100

Accompanying dataset for: A Monte Carlo Method for Metamorphic Testing of Machine Translation Services

<p>This is the original dataset, where white spaces are used to separate words of all languages. This is however not the best method of analyzing some Asian languages. Please refer to the following new version for enhanced, character-based analysis results:</p> <p>Zhi Quan Zhou. (2018). Accompanying dataset for: A Monte Carlo Method for Metamorphic Testing of Machine Translation Services (Version 2.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.1230139</p>

opencc-by-4.0May 2018View details →
zenodo36/100

New Methods in Monte Carlo Lightning Simulations: data for inhomogeneous simulations

<p>This is the ncdf file output from the WRF supercell simulation. This file is produced using the WRF version 3.9.1.1 with the storm electrification package. This data is used in the article &quot;New Methods in Monte Carlo Lightning Simulations&quot; to create an inhomogeneous microphysical profile for simulations.</p>

opencc-by-4.0Jan 2020View details →
zenodo36/100

Dataset for "Verifying Monte Carlo simulations of diffusion tensor cardiovascular magnetic resonance using a finite volume method"

<p>This dataset contains the results of random walk and finite volume simulations of diffusion in cardiac tissue. The data was used for the work presented at the 8th World Congress of Biomechanics in 2018.</p>

opencc-by-4.0Jul 2018View details →
dryad28/100

Data from: Multilevel and quasi-Monte Carlo methods for uncertainty quantification in particle travel times through random heterogeneous porous media

In this study, we apply four Monte Carlo simulation methods, namely, Monte Carlo, quasi-Monte Carlo, multilevel Monte Carlo and multilevel quasi-Monte Carlo to the problem of uncertainty quantification in the estimation of the average travel time during the transport of particles through random heterogeneous porous media. We apply the four methodologies to a model problem where the only input parameter, the hydraulic conductivity, is modelled as a log-Gaussian random field by using direct Karhunen–Loéve decompositions. The random terms in such expansions represent the coefficients in the equations. Numerical calculations demonstrating the effectiveness of each of the methods are presented. A comparison of the computational cost incurred by each of the methods for three different tolerances is provided. The accuracy of the approaches is quantified via the mean square error.

opencc-zeroDec 2016View details →
zenodo28/100

Data For Hybrid Monte-Carlo Molecular Dynamics Methods For Estimation of Solidus and Liquidus Compositions, a Case Study in Cu-Ni and Au-Si

Open the record for dataset details and reuse information.

opencc-by-4.0May 2024View details →
dryad28/100

Data from: Multilevel and quasi-Monte Carlo methods for uncertainty quantification in particle travel times through random heterogeneous porous media

Open the record for dataset details and reuse information.

publicJun 2017View details →
zenodo24/100

MESA files for paper "Progenitor properties of type II supernovae: fitting to hydrodynamical models using Markov chain Monte Carlo methods"

<p>Inlists to reproduce the pre-SN simulations of the paper &quot;Progenitor properties of type II supernovae: fitting to hydrodynamical models using Markov chain Monte Carlo methods&quot;. These simulations were performed using MESA version 10398.</p>

opencc-by-4.0Aug 2020View details →
zenodo24/100

Supplementary data for: "Progenitor properties of type II supernovae: fitting to hydrodynamical models using Markov chain Monte Carlo methods"

<p>This entry contains a grid of bolometric light curve and photospheric velocity models applied to stellar evolution progenitors. A full description of the models can be found in Martinez et al. 2020, A&amp;A, 642, A143.</p>

opencc-by-4.0Feb 2022View 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