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245 results for “Geophysics”

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zenodo44/100

Geophysical and physical oceanography data and acoustic facies mapping results of the Central Basin in the northwestern Ross Sea margin, Antarctica

<p>Multi-channel seismic (MCS), sub-bottom profiler (SBP), multi-beam echosounder (MBES)&nbsp;and expandable conductivity-temperature-depth&nbsp;(XCTD) data and acoustic facies mapping results of the Central Basin in the northwestern Ross Sea margin, Antarctica. The Coordinate Reference System (CRS) for the MCS, SBP, MBES data and acoustic mapping results is WGS 84 / Antarctic Polar Stereographic (EPSG:3031).&nbsp;). The geophysical data (MCS, SBP, MBES) and oceanographic measurements (XCTD) collected by the RV <em>Araon</em> are provided by the Korea Polar Data Center (<a href="https://kpdc.kopri.re.kr">https://kpdc.kopri.re.kr</a>).</p>

opencc-by-4.0Dec 2022View details →
zenodo44/100

GEOLAB - Transnational Access project QC-CEM - Mapping quick clay with geophysical methods

<p>Quick clay is characterised by complete collapse and liquid-like mobility when overloaded. Quick clay is found primarily in Norway and Sweden, but also exists in Finland, Russia, Canada and Alaska. Quick clay landslides, with their retrogression characteristics and extreme mobility, pose significant risk to human lives, infrastructure, property and surrounding ecosystems. Hence, the proper characterization of quick clay sites is essential for ensuring the safety and resilience of infrastructure in Norway and elsewhere in Europe.<br> The current practice for mapping quick clay in Norway relies heavily on borehole data with either rotary sounding or total sounding and core samples tested in the laboratory. The only method for identifying quick clay with certainty is physical testing in the laboratory, but it is time-consuming, expensive and gives limited information, i.e., only at the depths and locations where the samples are taken. In Norway, rotary sounding and total soundings are frequently used in mapping of quick clay. There is increasing interest in using geophysical methods such as Electrical Resistivity Tomography (ERT) to supplement the results from soundings, particularly in early stage of ground investigation for mapping of quick clay. ERT is a near surface geophysical method that uses direct current to measure the earth&#39;s electrical resistivity. The current is injected into the subsurface through steel electrodes installed 10-20 cm into the ground, and the apparent resistivity distribution along a profile or area is measured. Using data processing and inverse modelling a 2D or 3D resistivity model of the subsurface can be derived.<br> Geophysical methods such as ERT show capability to identify not quick clay such as sand, silt, dry crust, moraine and bed rock reasonably accurate, but the identification of quick clay is still generally limited. The detection of leached clay (thus potentially quick clay) is however possible.<br> Transnational Access project QC-CEM is funded through the 1st call for proposal for the GEOLAB project. This project aims at testing various geophysical methods for their capability for soil characterisation, particularly for detecting quick clay.</p> <p>The objectives of the QC-CEM project are:<br> (i) to test different configurations of Electrical Resistivity Tomography survey for detection of quick clay<br> (ii) to test innovative and efficient electromagnetic based methods for mapping of quick clay. Results from this investigation is not available to share at this stage.<br> (iii) to investigation the effectiveness of cross-interpretation using different geophysical methods for soil characterisation. The results from this activity will be published in open publication after they are processed.</p>

opencc-by-4.0Mar 2023View details →
zenodo44/100

Bathymetry, sediment thickness, and geotechnical-geophysical properties of sediments of Lake Seracchi in Rutor proglacial area

<p>This dataset contains the data of a geophysical-geotechnical investigation of Lake Seracchi (L4) of the Rutor basin, Aosta Valley, Italy, The fieldwork was mainly carried out in 10-11&nbsp; July 2021.</p> <p>The data are:</p> <p>.tif ready-to-use maps of the bathymetry and the sediment thickness.</p> <p>Time Domain Reflectometry (TDR) data of electrical permittivity and conductivity of the lake sediments</p> <p>Geotechnical analyses, such as Grain Size Distribution and Atterberg&#39;s Limits, performed on the lake sediments.</p> <p>The details are reported in the README .txt file.</p> <p>&nbsp;</p>

opencc-by-4.0Feb 2023View details →
edi44/100

LAGOS-NE v.1.054.1 Lake water clarity time series (1987-2011), climate, and geophysical data for 601 lakes across a 17-state region of the United States

Time series of median summer water clarity (secchi) values from 601 unique lakes in the Midwest and Northeast United States. Water clarity observations were derived from the Lake Multi-Scaled Geospatial and Temporal Database LAGOS-NELIMNO version 1.054.1. These data were used to assess long-term changes in water clarity from 1987-2011, and the potential drivers of those trends (Lottig et al. in press). Summer open water period was used to approximate the stratified period in the study lakes, which was defined as June 15 to September 15. Over the 25-year time period, each lake had to have at least a single summer water clarity observation for 22 of 25 years. The median number of secchi measurements that were used to derive a single annual median value for each lake was approximately 9. Of the over 14,000 annual estimates of water clarity that we generated, only two percent of those annual values were generated from a single observation and median number of observations for each lake over the 25-year study period was 223. Each unique lake with water clarity data also has supporting geophysical data, including climate, land use, hydrology, and topography derived at multiple spatial scales. Lake-specific characteristics, such as depth and area, are also reported. The geospatial data came from LAGOS-NEGEO version 1.03 except for the annual climate data which was aggregated at the HUC8 spatial scale from monthly PRISM data. For more specific information on how LAGOS-NE was created, see Soranno et al. 2015. Citations: Lottig, N.R., P-N. Tan, T. Wager, K.S. Cheruvelil, P.A. Soranno, E.H. Stanley, C.E Scott, C.A. Stow, and S. Yuan. in press. Macroscale patterns of synchrony identify complex relationships among spatial and temporal ecosystem drivers. Ecosphere Soranno P.A., Bissell E.G., Cheruvelil K.S., Christel S.T., Collins S.M., Fergus C.E., Filstrup C.T., Lapierre J.-F., Lottig N.R., Oliver S.K., Scott C.E., Smith N.J., Stopyak S., Yuan S., Bremigan M.T., Downing J.A., G

openCC (other)Oct 2017View details →
zenodo40/100

Data set | Water- and land-borne geophysical surveys before and after the sudden water-level decrease of two large karst lakes in southern Mexico (v1.1)

<p>This repository contains raw and processed data along with the Matlab scripts used to prepare the visualizations presented in the manuscript</p> <p>B&uuml;cker, M., Flores Orozco, A., Gallistl, J., Steiner, M., Aigner, L., Hoppenbrock, J., Glebe, R., Morales Barrera, W., Pita de la Paz, C., Garc&iacute;a Garc&iacute;a, E., Razo P&eacute;rez, J.A., Buckel, J., H&ouml;rdt, A., Schwalb, A., and Perez, L. (2020). <strong><em>Water- and land-borne geophysical surveys before and after the sudden water-level decrease of two large karst lakes in southern Mexico</em></strong>. Submitted to Solid Earth.</p> <p>If you find this data useful in your own research, please mention this data set and/or the manuscript.</p>

opencc-by-4.0May 2020View details →
zenodo40/100

Geophysical data set for San Ramon Fault master section

<p>This data set is&nbsp;a multivariable analysis carried out in the San Ramon Fault (SRF) along a master section perpendicular to the main fault scarp. These data include: (1) a ~ 1 km long Electrical resistivity tomography (ERT) with a dipolo-dipolo configuration, 48 channels every 20 meters (named as the master section). (2)&nbsp;Differential GPS data with the location of the ERT electrodes and gravity stations. (3) Data of the gravity stations, with a&nbsp;Garmin GPS data. (4) Seismic data&nbsp;of an active experiment of&nbsp;24 channels every 5 m,&nbsp;with several hammer strikes, which are explained in a&nbsp;text-document inside each seismic file (TRV_seismic_data and SRF_seismic_data). (5) Time-series of the Nakamura stations&nbsp;located along the ERT master profile. (6) The voltage decay curve of a TEM-station&nbsp;in the western edge of the master section, which is ready for modeling.</p> <p>&nbsp;</p>

opencc-by-4.0May 2020View details →
zenodo40/100

Dataset used in "Marine Sediment Characterized by Ocean-Bottom Fiber-Optic Seismology" by Spica et al., 2020 in Geophysical Research Letters

<p>3000fullhisy: raw data to reproduce Fig. 2<br> ppsdspec.npz: all spectrogram as shown in Fig. 3a<br> AllVelMods: All velocity model shown in Fig. 3b<br> ac.out.final.npz: auto-correlation image in Fig. 3c<br> DAS11_lpf5.stack51.grd: Earthquake wavefield as shown in Fig. 3d<br> &nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2020View details →
zenodo40/100

Data and results for manuscript "Flow dynamics in hyper-saline aquifers: hydro-geophysical monitoring and modeling"

<p>The paper presents a general methodology that will help understand how freshwater and saltwater may interact in natural porous media, with a particular view at practical applications such as the storage of freshwater underground in critical areas such as semi-arid zones around the Mediterranean sea. The methodology is applied to a case study in Sardinia and shows how a mix of advanced monitoring and mathematical modeling tremendously advance our understanding of these systems.</p> <p>This package contains the raw cross-hole time-lapse ERT data, additional field data, the ERT inversion results of the field data as well as the modeling data in terms of the concentration distribution of the density-dependent flow and transport model and the inverted synthetic ERT monitoring results.</p>

opencc-by-4.0Feb 2017View details →
zenodo40/100

Data supplementing article "Transport of riverine material from multiple rivers in the Chesapeake Bay: important control of estuarine circulation on the material distribution" under review at the Journal of Geophysical Research - Biogeoscience

<p>These data supplement the article: Du, J. and J. Shen, Transport of riverine material from multiple rivers in the Chesapeake Bay: important control of estuarine circulation on the material distribution, under review at the Journal Of Geophysical Research: Biogeoscience</p> <p>contact: Jiabi Du, jiabi@vims.edu</p> <p>Below are descriptions of the data files included here:</p> <p>1. Monthly mean tracer output [1985-2014]</p> <p>-netCDF format results for monthly mean tracer concentrations from different sources (Susquehanna, Potomac, Rappahannock, York, James Rivers, and Coastal Ocean)</p> <p>-grid information are also included</p> <p>2. Matlab Scripts For Plotting.zip:</p> <p>-Matlab scripts used to plot the horizontal map, the vertical profile for the along channel section, the vertical profile for cross-channel sections. The script enables users to define the period and section no to plot. </p> <p>3. tracer influx and outflux ratio at 9 cross-section.xls:</p> <p>-an excel file contains the bottom tracer influx ratio and surface tracer outflux ratio for different rivers at different sections. </p>

opencc-by-4.0May 2017View details →
zenodo40/100

Input geophysical and geological data for "Geologically constrained geometry inversion and null-space navigation to explore alternative geological scenarios: a case study in the Western Pyrenees"

<p>This is a companion dataset to the manuscript:&nbsp;<br><br>Geologically constrained geometry inversion and null-space navigation to explore alternative geological scenarios: a case study in the Western Pyrenees,</p><p>by: Jeremie Giraud&nbsp;, Mary Ford, Guillaume Caumon, Lachlan Grose, Vitaliy Ogarko, Roland Martin, and Paul Cupillard.<br><br>This dataset contains the input data used in the inversion, in terms of the gravity data and the geological data used in the inversion.<br><br>The *.txt file contains the gravity data as inverted in the manuscript: X, Y, Z, Value.<br>The *.csv file contains the geological data: location of the contacts and orientation data.</p>

opencc-by-4.0Dec 2023View details →
zenodo40/100

AeroVmag: A new aero-towed vector magnetometer system, Geophysics, 2025

<p>This dataset contains:</p> <ol> <li> <p>Vector magnetic anomaly maps for the northern part of the Sea of Galilee<br>1.1 <strong>Mag_grids_xyz</strong>&nbsp;- grids in XYZ format (WGS 84)<br>1.2&nbsp;<strong>Mag_grids.nc</strong>&nbsp;- grids in netCDF4 format (WGS84 / UTM 36N)</p> </li> <li><strong>Aerovmag.py - </strong>source code for processing vectorial magnetic data collected by AeroVmag tow-bird system</li> <li> <p><strong>Theoretical_model.ipynb&nbsp;</strong>- source code for the theoretical accuracy estimation of the vectorial magnetic survey system.</p> </li> </ol>

opencc-by-4.0Mar 2024View details →
zenodo40/100

Geophysical investigation of the Heferlbach landfill in Lower Austria

<p>This repository contains seismic electrical raw data collected at the Heferlbach landfill as well as the obtained joint inversion results along with python scripts for reading and plotting the resolved models.</p>

opencc-by-4.0Dec 2021View details →
zenodo40/100

All data of the manuscript "A self-sustained charge neutrality lightning model containing the channel decay and reactivation process" submitted to Geophysical Research Letters

<p>The data supports the manuscript entitled &quot;A self-sustained charge neutrality lightning model containing the channel decay and reactivation process&rdquo;. Microsoft Notepad can open the *.txt files, they contain the channel information of two intracloud flashes (IC1 and IC2) and the channel elctrical parameters at the first fork of positive or negative leader channels. A normal video player software can open Movies S1.avi, and it shows the entire development process of IC1 discharge.</p> <p>The data can be used freely for scientific purposes with the appropriate citation.</p>

opencc-by-4.0Jan 2022View details →
zenodo40/100

Datasets for "Effects of the COVID-19 Pandemic on Authors and Reviewers of American Geophysical Union Journals"

<p>These files include summary data on demographics of people submitting journal articles and reviewing manuscripts submitted to American Geophysical Union (AGU) journals. The date range is January 2018 through February 2021, divided by two years before the pandemic and during the pandemic (&quot;year grouping&quot;): March 2018- February 2019; March 2019- February 2020, and March 2020- February 2021 (&quot;year of the COVID-19 pandemic&quot;). Author-related files only include demographics of the submitting, or &quot;corresponding&quot; author. These datasets supplement the under-review manuscript and pre-print submission to ESSOAr (Earth and Space Science Open Archive) &quot;Effects of the COVID-19 Pandemic on Authors and Reviewers of American Geophysical Union Journals.&quot;</p> <p>&nbsp;</p>

opencc-by-4.0Sep 2021View details →
zenodo40/100

Supporting Data for Drift Phase Structure Implications for Radiation Belt Transport by T.P. O'Brien et al. submitted to J. Geophysical Res.

<p>Datasets used in Drift Phase Structure Implications for Radiation Belt Transport by T.P. O&#39;Brien et al. submitted to J. Geophysical Res.</p>

opencc-by-4.0Dec 2021View details →
zenodo40/100

How flexible, slit and rigid barriers mitigate two-phase geophysical mass flows: a numerical appraisal

<p>The supplementary videos SV1 and SV2 (presented in Figures 4 and 5) show geophysical flows impacting flexible, slit, and rigid barriers via pile-up mode and runup mode, respectively.</p> <p>The measurement data used for comparison in Figure 7 from 14 centrifuge tests with bouldery and the boulder-debris mixture flows (Song et al., 2018b, 2019), and dry granular flow against open-type dams (Choi et al., 2020) were published open access in their articles.</p> <p>The unique dataset, comprising normalized data obtained from analytical models (Li et al., 2021; Song et al., 2021a), empirical relations (Cui et al., 2015), experiments (Armanini et al., 2020; Choi et al., 2020; Cui et al., 2015; Hu et al., 2020; Song et al., 2021a, 2021b; Tiberghien et al., 2007; Vicari et al., 2021), field events (H&uuml;bl et al., 2009), and practical design values (Armanini, 1997; Hungr et al., 1984; Kwan &amp; Cheung, 2012; Wendeler, 2016), is plotted in Figure 10 for comparison.</p> <p>All these articles can be found in the PDF file entitled &ldquo;References in Figures 7 and 10&rdquo;.</p>

opencc-by-4.0Dec 2021View details →
zenodo40/100

Simulation data for "Nonlinear electron phase-space dynamics in spontaneous excitation of falling-tone chorus" submitting to Geophysical Research Letters

<p>Simulation data for &quot;Nonlinear electron phase-space dynamics in spontaneous excitation of falling-tone chorus&quot; submitting to Geophysical Research Letters.</p> <p>Including the simulation input parameter file and the necessary output data for analysis described in the article. The output data consists of waveform data,&nbsp;wave intensity profile, binned phase space distribution, etc.&nbsp;A detailed guide to load the output data is included in the zipped file as well.&nbsp;</p>

opencc-by-4.0Jun 2022View details →
zenodo40/100

Model outputs of Wei et al. (2022): "Salt intrusion as a function of estuary length in periodically weakly stratified estuaries", published in Geophysical research Letters.

<p>The .mat file&nbsp;includes all model&nbsp;data used in the study &quot;Salt&nbsp;intrusion as a function of estuary length in periodically weakly stratified estuaries&quot;, published in Geophyscial Research Letters, 2022. The .txt file contains description of all&nbsp;physical variables contained in the .mat file.</p>

opencc-by-4.0Jul 2022View details →
zenodo40/100

Data used in a manuscript entitled "Large ensemble simulation for investigating predictability of precursor vortices of Typhoon Faxai in 2019 with a 14-km mesh global nonhydrostatic atmospheric model" submitted to Geophysical Research Letters

<p>This include a dataset used in a manuscript entitled &ldquo;Large ensemble simulation for investigating predictability of precursor vortices of Typhoon Faxai in 2019 with a 14-km mesh global nonhydrostatic atmospheric model&rdquo; by Yamada and co-authors, which is submitted to Geophysical Research Letters.</p> <p>Contact: Yohei Yamada (yoheiy@jamstec.go.jp)</p>

opencc-by-4.0Jul 2022View details →
zenodo40/100

Geophysical evidence for an active mantle plume underneath Elysium Planitia on Mars

<p>Data files for Broquet &amp; Andrews-Hanna, Geophysical evidence for an active mantle plume underneath Elysium Planitia on Mars, <em>Nature Astronomy</em>.</p> <p>Some relevant model results shown in Figures 2C and D, and 5A,&nbsp;B, and C.</p>

opencc-by-4.0Oct 2022View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record