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677 results for “Inversion”
Dataset of "Stochastic multi-observables inversion for 3D thermochemical structure of lithosphere in spherical coordinates"
<p>### Introduction</p> <p>This repository contains source codes and raw data files associated with the manuscript entitled "<strong>Stochastic multi-observables inversion for 3D thermochemical structure of a lithosphere in spherical coordinates</strong>" by Yi Zhang (yizhang-geo@zju.eud.cn) and Xu Yixian at the School of Earth Sciences, Zhejiang University, Hangzhou 310027, China. Please see the copyright file before you use the enclosed files.</p> <p>Please check former versions for more code and data files.</p> <p> </p> <p>### Abbreviations</p> <p>* **GCTL**: Geophysical Computational Tools & Library (<a href="http://sanqian.synology.me:8418/zhangyiss/gctl">http://sanqian.synology.me:8418/zhangyiss/gctl</a>);</p> <p>* **GIST**: Geophysical Inversions under the Spherical coordinates using Tetrahedral meshes (see former versions of this repository).</p> <p> </p> <p>### Files</p> <p>* CNTS_DATA: data files for the field application.</p>
Inversion files for Wang and Tanimoto
<p>Inversion codes and output files for all Transportable Array stations from 2012 to 2019. Output files include two upper frequency limits, 0.04 and 0.05 Hz.</p>
Imaging the northeast lobe of the Sudbury Structure through 2D and 2.5D visco-acoustic full-waveform inversion
<p>Seismic reflection profile LN182 - Northeast lobe of the Sudbury Structure. The LN182 transect comprises over 1,300 receivers (single wireless vertical-component 5-Hz geophones) and over 1,500 vibroseis sources. A linear upsweep of 5-120 Hz was generated by four vibroseis trucks forming the vibroseis source system. </p>
MIROC4-ACTM CO2 Inversion flux (2001-2020; case s050_ux4_gc3t)
<p>Details in :</p> <p>Chandra, N., Patra, P. K., Niwa, Y., Ito, A., Iida, Y., Goto, D., Morimoto, S., Kondo, M., Takigawa, M., Hajima, T., and Watanabe, M.: Estimated regional CO<sub>2</sub> flux and uncertainty based on an ensemble of atmospheric CO<sub>2</sub> inversions, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-1039, in review, 2021.</p>
MIROC4-ACTM N2O inversion fluxes (1997-2019)
<p>As described in</p> <p>Patra, P. K., E. J. Dlugokencky, J. W. Elkins, G. S. Dutton,. Y. Tohjima, M. Sasakawa, A. Ito, R. F. Weiss, M. Manizza, P. B. Krummel, R. G. Prinn, S. O'Doherty, D. Bianchi, C. Nevison, E. Solazzo, H. Lee, S. Joo, E. A. Kort, S. Maity, and M. Takigawa, 2022: Forward and inverse modelling of atmospheric nitrous oxide using MIROC4-atmospheric chemistry-transport model.<em> J. Meteor. Soc. Japan</em>, <strong>100</strong>,<br> <a href="https://doi.org/10.2151/jmsj.2022-018">https://doi.org/10.2151/jmsj.2022-018.</a></p>
Convolutional-neural-network-based reflection-waveform inversion (major revision)
<p>This dataset is used to plot the synthetic results shown in paper: "Convolutional-neural-network-based reflection-waveform inversion"</p>
Structural measurements and stress inversion data from Condit and French, GRL 2022
<p>Structural measurements and stress inversion results of vein sets used for mechanical inversions in Condit and French, <em>In review - </em> At Geophysical Research Letters </p>
Inverse magnetic fabrics caused by magnetofossils in the northwestern South China Sea since end of the Last Glacial
<p>The relationships among the abundance of magnetofossils, the ensuing magnetic properties, and the controlling paleoenvironmental factors in marine sediments remain broadly unexplored. Here, we identify magnetofossils in core XB1 from the northwestern South China Sea since the Last Glacial Maximum. Using rock magnetic and electron microscopic data, we propose a model that links the anisotropy of magnetic susceptibility fabric and the abundance of magnetofossils. The magnetofossil concentration in sediments increases significantly during the 14.7-4.7 ka period, which in turn leads to inverse magnetic fabrics and near-horizontal of minimum magnetic susceptibility axes. Further, we show that the abundance of magnetofossils is linked to paleoenvironmental changes in the northwestern South China Sea. The production and preservation of magnetofossils during the 14.7-4.7 ka period is promoted by an intensified East Asian summer monsoon and sluggish deep-water ventilation, while the paucity of magnetofossils after 4.7 ka is attributed to high oxygen content.</p>
Data of FigS1, "The Potential Tumor-Suppressor DHRS7 Inversely Correlates with EGFR Expression in Prostate Cancer Cells and Tumor Samples"
<p>Data of FigS1, “The Potential Tumor-Suppressor DHRS7 Inversely Correlates with EGFR Expression in Prostate Cancer Cells and Tumor Samples”</p> <p>The Dataset (original publication: doi: 10.3390/cancers14133074) contains the original figure as PNG-format (10.3390-cancers14133074_FigS1.PNG). The Corresponding raw data and subsequent data analysis obtained for TCGA analysis contains three files in csv-format (31003A-179400_10.3390-cancers14133074_SSDHRS7_23_2-1-3 .csv), three files in sps-format (31003A-179400_10.3390-cancers14133074_SSDHRS7_23_2-1-3 .sps), all further related information provided as one meta-data-file in pdf-format (31003A-179400_10.3390-cancers14133074_SSDHRS7_23_2_M1.pdf) and one in txt-format (31003A-179400_10.3390-cancers14133074_SSDHRS7_23_2_M.txt).</p> <p> </p>
Less-well-developed crustal flow in the central Tibetan Plateau revealed by receiver function and surface wave joint inversion
<p>A crustal flow model has been previously used to explain the crustal extension of the Tibetan Plateau. However, the existence of massive crustal flow in the central plateau is still controversial. We conducted a joint inversion of receiver functions and surface wave dispersions from the 2-D broadband seismic array SANDWICH deployed in the central plateau. The crustal S-wave velocity structure with high vertical resolution shows a low-velocity layer (LVL) in the middle-lower crust beneath most stations. The S-wave velocity of this LVL is mostly within 3.0-3.4 km/s, reflecting a melt volume percentage (MVP) ≤ 7%, except at two stations. Our study suggests that there is not a high enough melt volume in central Tibet to develop crustal flow, which requires an MVP ≥ 7% to decrease rock strength. The formation of extensional structures in the central plateau may contribute to ductile deformation in the middle-lower crust but not crustal flow.</p>
Supplemental documents for: Temperature-associated selection linked to putative chromosomal inversions in king scallop (Pecten maximus)
<p>The genomic landscape of divergence – the distribution of differences among populations or species across the genome – is increasingly characterized to understand the role that microevolutionary forces such as natural selection and recombination play in causing and maintaining genetic divergence. This line of inquiry has also revealed chromosome structure variation to be an important factor shaping the landscape of adaptive genetic variation. Due to a high prevalence of chromosome structure variation and the strong pressure for local adaptation necessitated by their sessile nature, bivalve molluscs are an ideal taxon for exploring the relationship between chromosome structure variation and local adaptation. Here, we report a population genomic survey of king scallop (<em>Pecten</em> <em>maximus</em>) across its natural range in the northeastern Atlantic Ocean, utilizing a recent chromosome-level genome assembly. We report the presence of at least three large (12-22 Mb), putative chromosomal inversions associated with sea surface temperature and whose frequencies are in contrast to neutral population structure. These results highlight a potentially large role for recombination-suppressing chromosomal inversions in local adaptation and suggest a hypothesis to explain the maintenance of differences in reproductive timing found at relatively small spatial scales across king scallop populations.</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>
How to enhance the inverse distance weighting method to detect the precipitation pattern in a large-scale watershed
<p>These datasets provide precipitation data over Central Plateau watershed of Iran. Four different variants of the Inverse Distance Weighting (IDW) method are utilized to create these datasets. Two out of four IDW variants are proposed and developed by the authors to enhance the performance of the available standard models.</p> <p> </p> <p>Data Format: xlsx</p> <p>Spatial Resolution: ~0.08˚ & 0.25˚</p> <p>Spatial Coverage: Central Plateau watershed, Iran (48˚07'E to 61˚25'E - 26˚33'N to 37˚27'N)</p> <p>Temporal Resolution: Monthly</p> <p>Temporal Coverage: 2005 - 2015 (Inclusively)</p> <p> </p> <p><strong>How to cite:</strong></p> <p><strong>Arash Ghomlaghi, Mohsen Nasseri & Bardia Bayat (2022): How to enhance the inverse distance weighting method to detect the precipitation pattern in a large-scale watershed, Hydrological Sciences Journal, DOI: 10.1080/02626667.2022.2124874</strong></p>
Dataset for the paper pyATM "An Automatic Differentiation Method for Surface Carbon Flux Inversion"
<p>Dataset for the paper pyATM "An Automatic Differentiation Method for Surface Carbon Flux Inversion"</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>
The 3-D density structure of the large shield volcanic structure in the Gardner region revealed by a new gravity inversion
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Inversion of GNSS-based 3D Displacement for Daily Terrestrial Water Storage Changes under the 2023 Beijing-Tianjin-Hebei Heavy Rain in China
<p>The data and code for "Inversion of GNSS-based 3D Displacement for Daily TerrestriaI Water Storage Changes under the 2023 Beijing-Tianjin-Hebei Heavy Rain in China".</p> <p>Including:</p> <p>I. the GNSS and water level dataset;</p> <p>II, the codes for Inversion of GNSS for mass loads.</p>
Inverse opals with reactive surface chemistry as sensors for aqueous pollutants
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Benchmarking Study of Deep Generative Models for Inverse Polymer Design: Generation Results
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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.