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756 results for “Monte”
Fracture data from Monte Carlo simulation and practical engineering cases
<p>This data is mainly used for inferring each fracture size and spatial pattern from its trace exposed on the rock mass outcrop.</p>
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>
Datasets of the Doctoral Dissertation: "A Geoarchaeological Approach to the Materiality and Historical Ecology of Earth Mounds: The Colina da Monte Site, Uruguay."
<p>These PDF files contain the datasets, workflows, and codes from Rocío M. López Cabral's Doctoral Dissertation project: "A Geoarchaeological Approach to the Materiality and Historical Ecology of Earth Mounds: The Colina da Monte Site, Uruguay."</p>
Data for "Quantum Monte Carlo studies of a trimer scaling function with microscopic two- and three-body interactions"
<p>Data for "Quantum Monte Carlo studies of a trimer scaling function with microscopic two- and three-body interactions", Phys. Rev. A 104, 033301 (2021).</p>
Lám. 29.–Peganum harmala, a) El Burgo de Ebro, Zaragoza (VAB 95/2668); b, c, f-k) cerro El Monte, Villaluenga de la Sagra, Toledo (VAL 34369); d, e) pr. estación de ferrocarril, San Vicente del Raspeig, Alicante (VAB 94/3847); l-n) Villamanrique de Tajo, Madrid (VAL 118195): a) hábito; b) detalle de un nudo; c) hoja inferior; d, e) hojas superiores; f) flor; g) sépalo; h) pétalo; i) estam- bre; j) pistilo; k) sección transversal del ovario; l) fruto; m) fruto abierto; n) semilla. in Rhamnaceae- Polygalaceae
Lám. 29.–Peganum harmala, a) El Burgo de Ebro, Zaragoza (VAB 95/2668); b, c, f-k) cerro El Monte, Villaluenga de la Sagra, Toledo (VAL 34369); d, e) pr. estación de ferrocarril, San Vicente del Raspeig, Alicante (VAB 94/3847); l-n) Villamanrique de Tajo, Madrid (VAL 118195): a) hábito; b) detalle de un nudo; c) hoja inferior; d, e) hojas superiores; f) flor; g) sépalo; h) pétalo; i) estam- bre; j) pistilo; k) sección transversal del ovario; l) fruto; m) fruto abierto; n) semilla.
Fig. 43. Laboulbenia spp. A–B. L. rougetii Mont. & C.P.Robin. A. Mature thallus. B in Laboulbeniomycetes (Fungi, Ascomycota) of Denmark
Fig. 43. Laboulbenia spp. A–B. L. rougetii Mont. & C.P.Robin. A. Mature thallus. B. Two young thalli showing antheridia (an). – C –D. L. slackensis Cépède & F.Picard. In D, the black and constricted septum separating the basal cell of outer appendage from outermost branch is labelled (arrow). – E–F. L. sphaerii Santam. E. A pair of two immature thalli. F. Mature thallus from holotype. Both images with undivided cells III and IV being labelled. Scale bars: 50 µm. Photographs from slides ZMUC C-F-124117 (A–B), ZMUC C-F-124219 (C), ZMUC C-F-122634 (D), ZMUC C-F-124098 (E), BCB SS1047b (holotype) (F).
Monte-Carlo-simulated MR spectra of the rat brain and their quantification results obtained with QUEST and QUEST-MM jMRUI algorithms
<p>MC-simulated spectra of the rat brain along with the corresponding basis set (metabolite signals simulated using NMRScopeB from jMRUI) and the QUEST-MM, QUEST, QUEST(Met+Back) and QUEST(Met+MM) quantification results are stored in the MC_results folder.</p> <p>Results of an in-vivo rat brain MRS signal (SPECIAL, dead time t0 = 0.134 ms, TE = 2.8 ms, at 9.4 T) quantification performed with the QUEST-MM jMRUI algorithm (origin for MC-simulation) are stored in the folder rat_results.</p> <p>All files can be loaded to jMRUI software version 5 and later.</p>
Accompanying simulated data for "Go multivariate: a Monte Carlo study of a multilevel hidden Markov model with categorical data of varying complexity"
<p>The multilevel hidden Markov model (MHMM) is a promising vehicle to investigate latent dynamics over time in social and behavioral processes. By including continuous individual random effects, the model accommodates variability between individuals, providing individual-specific trajectories and facilitating the study of individual differences. However, the performance of the MHMM has not been sufficiently explored. Currently, there are no practical guidelines on the sample size needed to obtain reliable estimates related to categorical data characteristics We performed an extensive simulation to assess the effect of the number of dependent variables (1-4), the number of individuals (5-90), and the number of observations per individual (100-1600) on the estimation performance of group-level parameters and between-individual variability on a Bayesian MHMM with categorical data of various levels of complexity. We found that using multivariate data generally alleviates the sample size needed and improves the stability of the results. Regarding the estimation of group-level parameters, the number of individuals and observations largely compensate for each other. Meanwhile, only the former drives the estimation of between-individual variability. We conclude with guidelines on the sample size necessary based on the complexity of the data and the study objectives of the practitioners.</p> <p>This repository contains data generated for the manuscript: "Go multivariate: a Monte Carlo study of a multilevel hidden Markov model with categorical data of varying complexity". It comprehends: (1) model outputs (maximum a posteriori estimates) for each repetition (n=100) of each scenario (n=324) of the main simulation, (2) complete model outputs (including estimates for 4000 MCMC iterations) for two chains of each repetition (n=3) of each scenario (n=324). Please note that the empirical data used in the manuscript is not available as part of this repository. A subsample of the data used in the empirical example are openly available as an example data set in the R package <a href="https://cran.r-project.org/web/packages/mHMMbayes/index.html">mHMMbayes on CRAN</a>. The full data set is available on request from the authors.</p>
Cerveteri, Monte Abatone, Rilievi e scansione 3D area di scavo 2018-2019
<p>Rilievo con laser scanner dell’area di scavo indagata negli anni 2018-2019 nella Necropoli di Monte Abatone nei pressi del monumentale Tumulo Campana. La campagna di scavo è condotta dalle Università della Campania “L. Vanvitelli”, della Tuscia e di Bonn e ha riportato alla luce tombe e tamburi di tumuli finora sconosciuti permettendo la ricostruzione del paesaggio funerario antico. Il dataset comprende le nuvole di punti dell’intera area di scavo, sia dell’esterno che delle camere tombe ipogee, realizzate nell’anno 2019 da parte della Cattedra di Etruscologia e Antichità Italiche (prof. Fernando Gilotta) del Dipartimento di Lettere e Beni Culturali ed elaborate con la collaborazione della Cattedra di Disegno (prof.ssa A. Cirafici) del Dipartimento di Architettura e Disegno Industriale dell’Università degli Studi della Campania “L. Vanvitelli”. L’acquisizione (dr. C. Rizzo, dr. T. D’Anna) e l’elaborazione (prof. P. Argenziano, prof.ssa A. Avella, arch. T. Patriziano), sono suddivisi in aree esterne e ambienti ipogei in nuvola di punti in formato .e57 e mesh poligonale in formato .ply. Il dataset, per la sua risoluzione e accuratezza, è uno strumento utile allo studio e alla valorizzazione di un’area sepolcrale che ogni anno è interrata per motivi di conservazione e sicurezza, permettendo di inserirla nel contesto territoriale di appartenenza.</p> <p>Il dataset è stato acquisito con laser scanner Leica BLK360 e le nuvole sono state rielaborate con software Leica Cyclone. </p> <p>Il gruppo di lavoro è composto da ricercatori e professionisti del Dipartimento di Lettere e Beni Culturali e di Architettura e Disegno industriale dell’Università degli Studi della Campania “L. Vanvitelli” coordinati dal prof. F. Gilotta e prof.ssa A. Cirafici.</p>
Fig. 2 in Parasitic Nematodes Of Reptiles (Lizards And Snakes) In The Monte Desert Of Argentina
Fig. 2. Environments where the samplings were performed. Capture locations of L. darwinii, L. riojanus and A. longicauda. Town of the Encón, Department of 25 de Mayo (A, B, C)
Fig. 3. Studied hosts. A in Parasitic Nematodes Of Reptiles (Lizards And Snakes) In The Monte Desert Of Argentina
Fig. 3. Studied hosts. A = Philodryas trilineata, B = Aurivela longicauda (photo: Ignacio Her- nandez), C = Liolaemus darwinii (photo: Claudio Mendez), D = Liolaemus riojanus
Quasi-two-dimensional ferromagnetism in the triangular magnet EuAl12O19: Monte Carlo Calculations
<p>This repository contains all classical Monte Carlo calculations relevant for EuAl12O19 material. All calculations were conducted using the UppASD code.</p> <p>Contents:</p> <ul> <li>in the root directory - all plots published in the Calculations section of the paper, together with underlying data</li> <li><code>ab_plane_nodip</code> - a directory containing calculations for <em>M || H || [100]</em> and <em>M || H || [210]</em>, showing that the orientation of spins within the ab-plane does not have an effect on the magnetization curves. Calculated without dipolar interaction</li> <li><code>dm_effect</code> - a directory containing magnetization curve calculations for a) no Dzyaloshinskii-Moriya interaction (<code>dm_effect/0</code>), b) strong Dzyaloshinskii-Moriya interaction of <em>D = J/2</em> (<code>dm_effect/0.00125</code>)</li> <li><code>fit_nodip</code> - a directory with calculations related to J (exchange interaction energy), K (single-ion anisotropy energy) fitting -- <strong>without</strong> dipolar interaction</li> <li><code>fit_dip</code> - a directory with calculations related to J, K fitting -- <strong>with</strong> dipolar interaction, <strong>source of data for plots in the paper</strong></li> </ul> <p><strong>Note</strong>: all directories were archived to .tar.gz files to comply with the file number limit.</p> <h3>MvsB curves</h3> <p>Each directory contains a set of magnetization calculations for various parameters and follows the same strict directory structure: UppASD calculations necessary for the MvsB magnetization curves are found in subdirectory <code>Hsweep/$J/$K/$axis/$T/$H</code> where:</p> <ul> <li><code>$J</code> is the value of exchange interaction energy (in mRy)</li> <li><code>$K</code> is the value of single-ion anisotropy energy (in mRy)</li> <li><code>$axis</code> is the direction of both the external field and the magnetization measurement (either <code>100</code>, <code>210</code> or <code>001</code>)</li> <li><code>$T</code> is the temperature (in Kelvins)</li> <li><code>$H</code> is the strength of the external field (in Teslas)</li> </ul> <p>Each UppASD calculation contains a set of input files (<code>inpsd.dat</code>, <code>posfile</code>, <code>momfile</code>, <code>jfile</code>, <code>kfile</code>) and output files (<code>*.out</code>).</p> <p>Furthermore, files <code>Hsweep/$J/$K/$axis/$T/MvsB.dat</code> contain the data for specific MvsB magnetization curve. Files <code>Hsweep/$J/$K/MvsB-[$axis].png</code> contain plots of MvsB magnetization curves for a specific axis and all available temperatures.</p> <h3>MvsT curves</h3> <p>A similar directory structure exists for calculations necessary for the MvsT curves - <code>Tsweep/$J/$K/$axis/$T</code> where the parameters have the same meaning as in the Hsweep directory.</p> <p>Files <code>Tsweep/$J/$K/$axis/MvsT.dat</code> contain the data for a specific MvsT magnetization curve. Files <code>Tsweep/$J/$K/MvsT.png</code> contain plots of MvsT curves for all available axes.</p> <p><strong>H = 0.1 T for all MvsT measurements</strong>.</p>
"Monthly velocity and seasonal variations of the Mont Blanc glaciers derived from Sentinel-2 between 2016-2024" - supplementary materials
<p>The repository contains the supplementary materials to be downloaded relative to the research article:</p> <p>“Monthly velocity and seasonal variations of the Mont Blanc glaciers derived from Sentinel-2 between 2016-2024” </p> <p>https://doi.org/10.5194/egusphere-2023-2771</p> <p>The available files are:</p> <p>-92 raster maps of monthly velocity of the study area.</p> <p>-Shapefiles whith the glacier outlines of the 30 studied glaciers.</p> <p>-Shapefiles of the velocity time series extraction areas.</p> <p>-Velocity time series 2016-2024 of the 30 glaciers from the study. </p>
Fig. 14 in The history of palaeontological research and excavations at Monte San Giorgio
Fig. 14 Bernhard Peyer (University of Zurich) standing to the left of his guest Ferdinand Broili (University of Munich), seen sitting on beds of the Lower Meride Limestone in Val Serrata. Foto 1929 © archive PIMUZ
Fig. 13 in The history of palaeontological research and excavations at Monte San Giorgio
Fig. 13 The studied section in the Lower Meride Limestone at the locality Cassina. Fritz Buchser (left), the technical assistant from Meride, discovered these fossiliferous beds in 1931. Foto M. P. Linck, 1933 © archive PIMUZ
Fig. 11 in The history of palaeontological research and excavations at Monte San Giorgio
Fig. 11 Start of Peyer's largest excavation in the laminated dolomitic beds with thin bituminous interlayers (today part of the upper Besano Formation), above the abandoned mine at Val Porina. Note the numbering of the bituminous layers, called Tetto nuovo min 1 (base) to Tetto nuovo min 17 (top). Foto M. P. Linck, 1929 © archive PIMUZ
Fig. 9 in The history of palaeontological research and excavations at Monte San Giorgio
Fig. 9 The entrance of the tunnel Santa Barbara 1 of the Cava Tre Fontane mine, with the miner's house at around 1915 to the left. © FMSG/ Archivio Sommaruga
Fig. 16 in The history of palaeontological research and excavations at Monte San Giorgio
Fig. 16 The new palaeontological excavation in the Cava superiore beds at the Acqua del Ghiffo site. Note the thin orange volcanic ash layer just below the recovered slabs of laminated limestone. Foto H. Furrer, 2000 © archive PIMUZ
Fig. 8 in The history of palaeontological research and excavations at Monte San Giorgio
Fig. 8 Stratigraphical column of Monte San Giorgio showing the fossiliferous horizons, and the litho-, bio- and chronostratigraphy used today. © Commissione Scientifico Transnazionale Monte San Giorgio, 2014
Fig. 12 in The history of palaeontological research and excavations at Monte San Giorgio
Fig. 12 View of the palaeontological excavation in the Cava superiore beds at the site of an abandoned tunnel at Acqua del Ghiffo in 1928. The young assistant Emil Kuhn (to the left, in white shirt) is sitting next to the miners hired by Bernhard Peyer. Foto B. Peyer © archive PIMUZ
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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.