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104 results for “Inverse Modelling”
Dataset for the SIAM MPI23 project "Model inversion for complex physical systems using low-dimensional surrogates"
<p>This dataset contains 20,000 synthetic simulations of a simplified two-dimensional confined aquifer model of the Hanford Site. The inputs are the Kosambi-Karhunen-Loève expansion (KKLE) coefficients of the input log-transmissivity field. The outputs are the corresponding stationary pressure responses observed at 323 observation wells. Also included are the arrays necessary to reconstruct the log-transmissivity inputs from the KKLE coefficients.</p>
Slip model of the 2022 Mw 6.6 Luding earthquake from inversion of GNSS and Sentinel-1A satellites
<p>2022年Mw 6.6泸定地震的滑移模型,来自GNSS和Sentinel-1A卫星的反演“2022年Mw 6.6泸定地震滑移模型,GNSS和Sentinel-1A卫星反演”中使用的GNSS数据</p>
Data for A Physical Model for the Observed Inverse Energy Cascade in Typhoon Boundary Layers
<p>This repository contains dataset for the paper entitled "A Physical Model for the Observed Inverse Energy Cascade in Typhoon Boundary Layers". The magnitude of inverse energy cascade flux is revised in version 2.0 according to Xia et al. (2009) (https://doi.org/10.1063/1.3275861). </p>
Constructing a 3-D radially anisotropic crustal velocity model for Oklahoma by using full waveform inversion
<p>The OK3D_Vp_Ani.csv and OK3D_Vs_Ani.csv is inverted 3-D compressive and shear velocity model proposed in the publication.</p> <p>Each file contains horizontally and vertically polarized velocity components and their relative perturbation with respect to the averaged 1-D velocity profile, as well as the RA defined in the paper, at each location (longitude, latitude, depth).</p> <p>These two files are stored in CSV format, and can be easily readed by pandas module in python environment.</p>
Data from: Soil hydraulic properties determined by inverse modeling of drip infiltrometer experiments extended with pedotransfer functions
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Saguaro recruitment data obtained by inverse-growth modelling
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Data from : In vivo mechanical characterisation of an arterial wall using an inverse analysis procedure: application on an animal model of intracranial aneurysm
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Data for: Model-Based Reconstruction for Simultaneous Multi-Slice T1 Mapping using Single-Shot Inversion-Recovery Radial FLASH
<p>Magnetic Resonance Imaging measurement data used in our paper about "Model-based reconstruction for simultaneous multi-slice T1 mapping using single-shot inversion-recovery radial FLASH" (DOI: <a href="https://onlinelibrary.wiley.com/doi/full/10.1002/mrm.28497">10.1002/mrm.28497</a>). The data is provided in a file format used by the BART toolbox (DOI: <a href="http://doi.org/10.5281/zenodo.592960">10.5281/zenodo.592960</a>).</p>
Data from: Molecular Inversion Probes for targeted resequencing in non-model organisms
Applications that require resequencing of hundreds or thousands of predefined genomic regions in numerous samples are common in studies of non-model organisms. However few approaches at the scale intermediate between multiplex PCR and sequence capture methods are available. Here we explored the utility of Molecular Inversion Probes (MIPs) for the medium-scale targeted resequencing in a non-model system. Markers targeting 112 bp of exonic sequence were designed from transcriptome of Lissotriton newts. We assessed performance of 248 MIP markers in a sample of 85 individuals. Among the 234 (94.4%) successfully amplified markers 80% had median coverage within one order of magnitude, indicating relatively uniform performance; coverage uniformity across individuals was also high. In the analysis of polymorphism and segregation within family, 77% of 248 tested MIPs were confirmed as single copy Mendelian markers. Genotyping concordance assessed using replicate samples exceeded 99%. MIP markers for targeted resequencing have a number of advantages: high specificity, high multiplexing level, low sample requirement, straightforward laboratory protocol, no need for preparation of genomic libraries and no ascertainment bias. We conclude that MIP markers provide an effective solution for resequencing targets of tens or hundreds of kb in any organism and in a large number of samples.
Dataset for AMT paper "Ammonia emissions from a grazed field estimated by miniDOAS measurements and inverse dispersion modelling"
<p>Single excel file containing 30 minute averaged measurements and model outputs. Includes miniDOAS concentration measurements, sonic anemometer (Gill WindMaster) wind & turbulence, environmental measurements (relative humidity, rainfall, temperature, net radiation flux), deposition velocity resistance components (measured Ra and Rb and modelled Rc), and bLS-R model outputs (dispersion coefficients, also known as C/E ratios). These data provide the model inputs required to run the bLS-R dispersion model, (alternatively the WindTrax dispersion model can be used). The emissions from the field during both measuring periods can be determined from the measured horizontal concentration gradient and the simulated dispersion coefficients (Emissions = (Cdownwind-Cupwind)/Dispersion coefficient).</p>
Dataset for Estimating soil hydraulic properties from oven-dry to full saturation using inverse modeling and shortwave infrared imaging
<p>In this repository, we provide all the datasets that are needed to reproduce the analysis conducted in the paper entitled "Estimating soil hydraulic properties from oven-dry to full saturation using inverse modeling and shortwave infrared imaging."</p> <p><br> codes: This folder contains Python codes to run the forward and inverse modeling. Install the following packages.<br> notebook, fenics, numpy, pandas, matplotlib, scipy, numdifftools, and lmfit for inverse modeling (needs to be run on Linux).<br> data: This directory contains data used in the inverse modeling.<br> gif: This directory contains GIF movies of the upward infiltration experiments.</p> <p>readme.xlsx: This file explains which data are used for each figure in the paper.</p>
An Observational and Modeling Study of Inverse-Temperature Layer and Water Surface Heat Flux
<p>The data are used for an observational and modeling analysis of water temperature distribution and water surface energy budget. </p>
Geodetic Model of 2017 Kerman earthquake sequences estimated from joint inversion of InSAR and offset tracking techniques
<p>We upload here the inSAR and Pixel offset tracking results obtained based on Radar, Sentinel-1, PlanetScope, and Sentinel-2 satellite data. </p>
Long Simulation of Global Sea Surface Temperature using Linear Inverse Model
<p>The content of this dataset includes (a) observed product, which is the averaged product of the Hadley Centre Sea Ice and Sea Surface Temperature (HadISST), the Extended Reconstructed Sea Surface Temperature version 5 (ERSSTv5), and the Centennial in situ Observation-Based Estimates (COBE). This is called "global_sst_1958to2017.mat", i.e., 60 yrs of monthly SST over 1958-2017; it also contains the trend, the seasonal climatology, the anomaly field after subtracting trend and seasonal climatology, longitude, latitude, time, and land-sea mask. (b) 20 realizations of long SST simulation generated by a Linear Inverse Model (LIM). Each realization contains 6000 months (or 500 yrs) of SST. The file is named "stochastic_simulation_lim_sst_mem*.mat". </p> <p>To cite dataset if plot or extracted used in any publication, use the reference below:</p> <p>Xu, T., et al. (2022). "An increase in marine heatwaves without significant changes in surface ocean temperature variability." <span>Nature Communications</span> <strong>13</strong>(1): 7396.</p>
Benchmarking Study of Deep Generative Models for Inverse Polymer Design: Generation Results
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PROPTI - An Generalised Inverse Modelling Framework - Data Set
<p><strong>Contents</strong></p> <p>Data set supplementary to the conference paper "<a href="https://www.researchgate.net/publication/328933654_PROPTI_-_A_Generalised_Inverse_Modelling_Framework">PROPTI - A Generalised Inverse Modelling Framework</a>", presented at the <em>3rd European Symposium on Fire Safety Science</em>, ESFSS 2018 in Nancy, France.</p> <p> </p> <p><strong>Technical Information</strong></p> <p>Each ZIP archive represents a sub-directory of the original directory. For the analysis script to work properly out of the box it is necessary to keep this structure. Thus, simply extract all archives into the same directory.</p> <p>Note: Size on disc, after extraction, is about 260 MB.</p>
Datasets related to paper "Crustal structure and fault geometries of the Garhwal Himalaya, India: Insight from new high-resolution gravity data modeling and PSO inversion"
<p>The files include Satellite gravity data, topography and earthquake data used in the paper "Crustal structure and fault geometries of the Garhwal Himalaya, India: Insight from new high-resolution gravity data modeling and PSO inversion" by Chamoli A., Rana S., Dwivedi D., Pandey A.K.. This has been submitted to Journal of Geophysical Research: Solid Earth. Restrictions applied to the availability of the land gravity data set.</p>
Data for: Free-Breathing Myocardial T1 Mapping using Inversion-Recovery Radial FLASH and Motion-Resolved Model-Based Reconstruction (Part 2/2)
<p>Magnetic Resonance Imaging measurement data used in our paper about "Free-Breathing Myocardial T1 Mapping using Inversion-Recovery Radial FLASH and Motion-Resolved Model-Based Reconstruction". The data is provided in a file format used by the BART toolbox (DOI: <a href="http://doi.org/10.5281/zenodo.592960">10.5281/zenodo.592960</a>)</p>
Inverse observation operator parameters/models for master's dissertation: Updating a conceptual rainfall-runoff model based on radar observation and machine learning
<p>Both saved models and results of hyperparameter tuning are given. </p> <p>Code related to this dataset can be found <a href="http://github.com/olivierbonte/master_thesis">here</a></p> <p> </p>
Joint Inversion of Receiver Functions and Apparent Shear Wave Velocity for Martian Crustal Model
<p>Data and Codes of the joint inversion of receiver functions and apparent shear wave velocity for martian crustal model.</p>
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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)
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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.