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245 results for “geophysical”
Supplemental Tables for Wheat et al 2022 submitted to Geochemistry, Geophysics, Geosystems
<p>Data are from multiple expeditions to the eastern flank of the Juan de Fuca Ridge off the coast of Washington, USA. Most of the data are from the RetroFlux Expedition. These data were coupled with other published data to assess chemical conditions of the basaltic aquifer below the seafloor within the norther portion of the Juan de Fuca Plate. This work will be published in Geochemistry Geophysics Geosystems in 2022.</p>
Bio-geophysics database
<p>This database has been developed to support mathematical analyses of different greenhouse gas removal technologies. This document links to spatially indexed data on regional boundaries, climatologies, land cover and availability, soil-water balance, global ecological zones and protected areas, crop yields and irrigation requirements, mineral availability, CO2 storage availability, etc.</p>
Dataset: Dawson Geophysical Company (DWSN) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
ERT geophysical surveys for detecting gravitational morpho-structures in the Becca France area (Aosta Valley, Italy)
<p>This dataset contains the raw and processed data of an Electrical Resistivity Tomography (ERT) geophysical survey conducted on November 2023 in the Becca France area (Aosta Valley, Italy), in order to help the geological reconstruction of gravitational morpho-structures.</p> <p>It represents the supplementary materials of a publication submitted on Geohazards journal: Forno et al., 2024. Deep electrical resistivity tomography for detecting gravitational morpho-structures in the Becca France area (Aosta Valley, Italy).</p> <p> </p> <p>For details, please refer to the above mentioned publication and to the readme file.</p> <p> </p> <p>7z software (free and open source) can be used to unzip the dataset.</p> <p> </p>
Summary Table of AHG Parameters, Hydraulics, Morphological and geophysical variables, and Suspending Sediment Concentration Derived at 1246 USGS River Monitoring Stations
<p>This table contains information about:</p> <p>1) At-A-Station Hydraulic Geometry Parameters,</p> <p>2) Hydraulics Variables,</p> <p>3) Morphological and Geophysical Variables, and</p> <p>4) Suspending Sediment Concentration and Fraction of Sand, Silt, and Clay,</p> <p>derived at 1246 USGS river monitoring stations across the conterminous United States. </p>
Data sets for "MELISSA: System description and spectral features of pre‐ and post‐midnight F‐region echoes. Journal of Geophysical Research: Space Physics" by Rodrigues et al.
<p>Observations used in the study "Rodrigues, F. S., Zhan, W., Milla, M. A., Fejer, B. G., de Paula, E. R., Neto, A. C., et al ( 2019). MELISSA: System description and spectral features of pre‐ and post‐midnight <em>F</em>‐region echoes. <em>Journal of Geophysical Research: Space Physics</em>, 124. <a href="https://doi.org/10.1029/2019JA027445">https://doi.org/10.1029/2019JA027445</a>."</p> <p>The uploaded files include the RTI maps measured by the MELISSA radar system between 2014 and 2018 (.tif files). They also include values of SNR versus local time and height and the spectra presented in the manuscript (.mat files).</p> <p>Please, see README.txt for additional details.</p>
Aurora Subglacial Basin GlaDs inputs, outputs and geophysical data
<p>The GlaDS_ASB_outputs.txt file includes the following:</p> <p>Glacier Drainage System (GlaDS) model inputs: node easting (m), node northing (m), bed elevation (m), ice thickness (m), basal velocity (m/year) and basal water production (m/year). GlaDS model results for water pressure as a fraction of overburden (Pw/Pi) and water depth (m):base line model, high conductivity, low conductivity, static water and static velocity model runs. </p> <p>Specularity content data for Aurora Subglacial Basin as an xyz file called: filtered.spec.asb.xyz with easting (m), northing (m) and specularity content. </p> <p>The ICECAP basal interface specularity content profiles can also be found at the U.S Antarctic Program (USAP) Data Center: <a href="https://doi.org/10.15784/601371">https://doi.org/10.15784/601371</a></p>
Dataset used in "Ocean floor imaging with Distributed Acoustic Sensing and water phases reverberations" by Spica et al. in Geophysical Research Letters
<p>earthquake #1<br> earthquake #2</p>
Dataset for "Radiation environment at the surface and subsurface of the Moon: Model development and validation" publication in Journal of Geophysical Research: Planets
<p>data set used for plots in manuscript "Radiation environment at the surface and subsurface of the Moon: Model development and validation" submitted to GRL</p>
Data in support of the publication "First Detection and Thermal Characterization of Terminator CO2 Ice Clouds with ExoMars/NOMAD" on Geophysical Research Letters
<p>This archive contains the data underlying the 3 Figures in the main manuscript, including the vertical profiles of retrieved aerosols, vertical profiles of CO2 saturation ratio and spatial distribution of the retrieved clouds.</p>
Post-remediation evaluation of contaminated site using geophysical methods: EMI
<p>For the EMI measurements, a ground conductivity meter EM38-MK2 (Geonics) was used. Based on the measurements carried out on two coil spacings every 0.5 m and 1 m in horizontal (H-mode) and vertical dipole mode (V-mode), a component reflecting the electrical conductivity was obtained at three effective depth ranges approx. 0.37 m and 0.75 m for H-mode, 0.75 m and 1.5 m for V-mode. Recognition of the value of electrical conductivity was obtained in a grid of 50 x 50 m</p> <p>This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods”</p>
Post-remediation evaluation of contaminated site using geophysical methods: IP
<p>Five IP profiles were performed using the LUND electrical imaging system with a SAS 4000 Terrameter produced by ABEM Malå (Guideline Geo) with 0.5 m electrode separation and the Wenner-Schlumberger configuration. </p> <p>This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods”</p>
Post-remediation evaluation of contaminated site using geophysical methods: soilpits
<p>Discription of soilpits.</p> <p>This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods”</p> <p> </p>
Post-remediation evaluation of contaminated site using geophysical methods: chemical analysis
<p>The total concentration of trace elements analysis (of Al, As, Cd, Co, Cr, Cu, Fe, K, Li, Mn, Mo, Ni, Pb, Sb, Sn, Sr, Tl, Zn) was determined using ICP-ES for 50 samples and BCR sequential extraction for 20 samples.</p> <p>This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods”.</p> <p> </p>
Post-remediation evaluation of contaminated site using geophysical methods: GPR
<p>GPR measurements were conducted using RAMAC/GPR pulse radar with a CUII control unit (ABEM Malå Guideline Geo) with 500 MHz and 800 MHz shielded antennas. The time window was set as 61 ns and 98 ns, respectively, for 800 MHz and 500 MHz. The sampling frequency was set as 10 times the antenna frequency and the number of signals as 500 for both antennas for the best performance of the measurements. </p> <p>This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods”</p>
Data for the paper "Two small volcanoes, one inside the other: geophysical and drilling investigation of Bažina maar in western Eger Rift"
<p>This dataset consists of all data used in the manuscript of "Two small volcanoes, one inside the other: geophysical and drilling investigation of Bažina maar in western Eger Rift". </p> <p>The repository contains</p> <p>1. Gravity data after topographic correction - for details see README.TXT</p> <p>2. Magnetic data - for details see README.TXT</p> <p>3. Ground resistivity measurement using the multielectrode method - for details see README.TXT</p> <p>4. Lithology and logging data from the two boreholes S4 and S4 - file Stratigraphy_and_Logging_S4.pdf</p>
WRF output for the Geophysical Research Letters publication "Potential Impacts of Radio Occultation Data Assimilation on Forecast Skill of Tropical Cyclone Formation in the Western North Pacific"
<p>This dataset is the Weather Research and Forecasting (WRF) model output for the <em>Geophysical Research Letters</em> publication entitled "Potential Impacts of Radio Occultation Data Assimilation on Forecast Skill of Tropical Cyclone Formation in the Western North Pacific". The dataset includes the azimuthal-averaged parameters with 0.2°resolution, three-day forecast, and two experiments for all cases analyzed in the publication. Due to the data size, only the variables used in the figures are uploaded (i.e., relative humidity, relative vorticity, temperature, and water vapor mixing ratio). Detailed information, composite calculation, and model settings can be found in the publication.</p>
Codes and data related to the article: Renard et al. Floods and Heavy Precipitation at the Global Scale: 100-year Analysis and 180-year Reconstruction. Journal of Geophysical Research - Atmospheres.
<p>This package contains R codes and data related to the article:</p> <p>B. Renard, D. McInerney, S. Westra, M. Leonard, D. Kavetski, M. Thyer and J.-P. Vidal. Floods and Heavy Precipitation at the Global Scale: 100-year Analysis and 180-year Reconstruction. <em>Journal of Geophysical Research - Atmospheres</em>. DOI: <a href="https://doi.org/10.1029/2022JD037908">10.1029/2022JD037908</a></p> <p><strong>Analyses</strong></p> <p>This folder contains the R scripts used to set up models, analyse results and prepare figures. See README file for details.</p> <p><strong>ShinyApp</strong></p> <p>This folder contains an interactive Shiny App to explore the data and the results from the article.</p> <p>An online version can be found at <a href="https://hydroapps.recover.inrae.fr/HEGS-paper">https://hydroapps.recover.inrae.fr/HEGS-paper</a></p> <p> </p>
Geophysical dataset of Stromboli volcano
<p>This dataset is associated with the paper entitled « The thermal plumbing system of Stromboli volcano, Aeolian Islands (Italy) inferred from electrical conductivity and induced polarization tomography” by A. Revil, A. Finizola, T. Johnson, T. Ricci, M. Gresse, E. Delcher, S. Barde-Cabusson, P.A. Duvillard, and M. Ripepe submitted to Journal of Geophysical Research-Solid Earth (one of the leading journals of the American Geophysical Union). The dataset comprised 6 datasets. 1. Remote sensing data acquired in 2013 for the Island of Stromboli. 2. Self-potential data for the Island of Stromboli acquired between 2004 and 2013. 3. Temperature data for the Island of Stromboli acquired between 2004 and 2013. 4. CO2 concentration data for the Island of Stromboli acquired between 2004 and 2013. 5. Induced polarization data along a profile crossing the volcano of Stromboli acquired in 2008. 6. Electrical resistivity data for the 3D electrical resistivity tomography of the volcano of Stromboli acquired between 2003 and 2013</p>
Geophysical and geochronological data files from the Cocos Plate
<p><strong>Supporting materials: Geophysical and geochronological data files from Cocos Plate study. </strong>Figure numbers refer to those published in Naif et al. (2023).</p> <p><em>SRTM_residual_bathymetry_Fig2b.grd</em> contains residual bathymetry data and metadata used to produce Fig. 2b. </p> <p><em>MGL0807-01.pstm-v2d.0.segy</em> contains multi-channel seismic data and metadata used to produce Fig. 4. </p> <p><em>s04_CSEM_Fig4b.mat</em> and <em>s10_CSEM_Fig4c.mat</em> contain CSEM data and metadata used to produce Fig. 4b and Fig. 4c.</p> <p>The following files contain CSEM inversion model used to produce Fig. S1 (the model can be plotted using the MARE2DEM code):</p> <ul> <li><em>lessLEM_corr159km.data</em></li> <li><em>perRxTxAll.15.resistivity</em></li> <li><em>perRxTxAll.15.resp</em></li> <li><em>perRxTxAll.poly</em></li> </ul> <p>The following files contain pdf figures, data and metadata from Ar/Ar geochronological measurements on core samples of gabbro sills from ODP Leg 205, Hole 1253A (used to produce Fig. S2): </p> <ul> <li><em>40Ar-39Ar Full raw data.xlsx</em></li> <li><em>40Ar-39Ar Full raw data.txt</em></li> <li><em>40Ar-39Ar_StepHeating-Run_30995-01_ODP-205-1253A-10R_FigS2a.pdf</em></li> <li><em>40Ar-39Ar_Isochron_Run_30995-01_ODP-205-1253A-10R_FigS2b.pdf</em></li> <li><em>40Ar-39Ar_StepHeating-Run_30998-01_ODP-205-1253A-34R_FigS2c.pdf</em></li> <li><em>40Ar-39Ar_Isochron_Run_30998-01_ODP-205-1253A-34R_FigS2d.pdf</em></li> </ul> <p><em>Residual_GEBCO2021_bathymetry_FigS3a.grd</em> and <em>Residual_v30_Gravity_FigS3b.grd</em> contain residual bathymetry and residual gravity data and metadata used to produce Fig. S3.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.