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677 results for “Inversion”
Slip deficit rate realizations for 2023 New Zealand National Seismic Hazard Model geodetic inversions
<p>This data set contains inversion results presented in Johnson et al. (2023) and also Johnson et al. (2022). All calculations involving slip deficit rates in those papers were conducted using the results in the files provided in this data set. </p>
Outputs of the Jupyter Notebook - Deep learning and variational inversion to quantify and attribute climate change (CIRC23)
<p>The dataset contains the outputs of the notebook "Deep learning and variational inversion to quantify and attribute climate change (CIRC23)" published in The Environmental Data Science Book.</p>
Data and code for figures: Tailoring microcombs with inverse-designed, meta-dispersion microresonators
<p>This dataset contains the data presented in the Figures of the paper Tailoring microcombs with inverse-designed, meta-dispersion microresonators. <em>Nat. Photon.</em> (2023) DOI: 10.1038/s41566-023-01252-7.</p> <p>Generated with MatlabR2022, the figureData.mat files contain the data for each panel and the associated createfigure.m code reads the data and assembles the plots.</p>
CarbonWatch-NZ: National Scale Inverse Modelling of New Zealand's Carbon Balance
<p>New Zealand flux estimates derived from the CarbonWatch-NZ national scale inverse modelling system (Bukosa<br> et al., 2023; Steinkamp et al., 2017), prepared for the publication "A comprehensive assessment of anthropogenic and natural sources and sinks of Australasia’s carbon budget" by Villalobos et al. (2023), part of the the second phase of the REgional Carbon Cycle Assessment and Processes (RECCAP-2). </p>
Data from: Insights from a 31-year study demonstrate an inverse correlation between recreational activities and red deer fecundity, with body weight as a mediator
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Experimental introgression in Drosophila: Asymmetric postzygotic isolation associated with chromosomal inversions and an incompatibility locus on the X chromosome
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Data from: Inversions contribute disproportionately to parallel genomic divergence in dune sunflowers
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Chromosomal inversions from an initial ecotypic divergence drive a gradual repeated radiation of Galápagos beetles
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Data from: Inversion Invasions: when the genetic basis of local adaptation is concentrated within inversions in the face of gene flow
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Physics-informed neural networks (PINNs) with unsaturated water flow models for inverse analysis of soil hydraulic parameters of layered soil profiles
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Centroid values of aerosol optical properties for 8 sub-types based in AERONET inversion data (1993–2018)
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Data from: Inversions dominate evolution in the European Sardine (Sardina pilchardus) amid strong gene flow
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Recombination experiments with inversion heterozygotes
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Exceptions to the rule: Relative roles of time, diversification rates and regional energy in shaping the inverse latitudinal diversity gradient
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Inverse Base Rate
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Synthetic data for the solution of geophysical inverse problems
<p>The synthetic LAB used to define an inverse problem is discretized in different number of parameters. Each "LAB" file is one specific discretization and contains the coordinatates X and Y and the value of the LAB at each position</p> <p>The reference velocity fields obtained from solving the Stokes equation with the synthetic LABs are found in "velo" files. They contain, X, Y, and Z and the field Vx, Vy and Vz.</p> <p>Another synthetic data set represents the african lithosphere. The first two columns of its LAB file contain the longitude and latitude of each point and the third column is the value of the LAB. The reference velocity field obtained from solving Stokes is found in the corresponding "velo" file.</p>
Representing Model Uncertainty for Global Atmospheric CO2 Flux Inversions Using ECMWF-IFS-46R1
<p>Data used in the work "Representing Model Uncertainty for Global Atmospheric CO2 Flux Inversions Using ECMWF-IFS-46R1" - McNorton et al. (2020)</p> <p>All data generated using version 46R1 of the Integrated Forecast System based at the European Centre for Medium-Range Weather Forecasts, with work funded as part of the European Commission CO2 Human Emissions Project.</p> <p>Data includes global total standard errors for the total column CO2 mixing ratios at 3 hourly intervals for 2015 and both total column and surface transport errors at hourly intervals for January and July 2015, derived from a 50 member ensemble. It is suggested that the data are used by the inverse modelling community to account for transport model errors.</p> <p>Please view the README.txt file for a full description.</p> <p> </p> <p>###########################<br> ## EXPERIMENTAL SETUP ##<br> ###########################</p> <p># FLUXES #</p> <p>CHE-EDGAR-2015 EMISSIONS<br> CHE-TIER-2-FIRE/OCEAN<br> ONLINE CHTESSEL BIOGENIC FLUXES (FOR TRANSPORT ERROR THESE USE THE CONTROL MEMBER FLUXES)</p> <p># MODEL #</p> <p>IFS-CYCLE 46R1<br> RESOLUTION TCO399 (~25km)<br> 137 VERTICAL LEVELS<br> ALL DATA PROVIDED HERE ARE EITHER COLUMN INTEGRATED MIXING RATIO (XCO2) OR SURFACE (LEVEL 137)<br> ALL DATA PROVIDED HERE ARE STANDARD DEVIATION ACROSS 50 ENSEMBLE MEMBERS<br> </p>
The data of the 3-D magnetotelluric inversion result in Western Yunnan, China
<p>This is the 3-D magnetotelluric inversion result in the study of "Bifurcated Crustal Channel Flow and Seismogenic Structures of Intraplate Earthquakes in Western Yunnan, China as Revealed by Three-dimensional Magnetotelluric Imaging". </p> <p> </p>
Sparse Vibrometer Data for Inverse Imaging
<p>Experimental sparse vibrometer data for validating inversion methods. Instructions:</p> <ul> <li>Extract the data zip file (for object 1 or 2) and copy the matlab scripts to a folder in the computer's local file system.</li> <li>Read the documentation to learn how to use the scripts.</li> </ul>
Data for the paper "An Inversion Algorithm for Deriving Shallow Structure using Co-located Wind, Pressure, and Seismic Data"
<p>Wind, pressure, and seismic data used in the paper "An Inversion Algorithm for Deriving Shallow Structure using Co-located Wind, Pressure, and Seismic Data"</p>
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OpenNeuro
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