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18 results for “GPR data”

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zenodo52/100

GPR data used to test the efficient deconvolution method of Schmelzbach and Huber (2015)

<p>GPR data recorded with Pulse Ekko Pro from Sensors &amp; Software on the river bed of the Tagliamento River (NE Italy).</p> <p>This data was used to test the efficient deconvolution scheme of Schmelzbar and Huber (2015):</p> <p>C. Schmelzbach, E. Huber (2015) Efficient Deconvolution of Ground-Penetrating Radar Data. IEEE Transactions on Geoscience and Remote Sensing, 53(9):&nbsp;5209 - 5217<br> doi:&nbsp;<a href="http://dx.doi.org/10.1109/TGRS.2015.2419235">10.1109/TGRS.2015.2419235</a></p>

opencc-by-4.0Mar 2019View details →
zenodo40/100

Data repository of GPR survey of the Epithany Cathedral of Kyiv Brotherhood Monastery by Kseniia Bondar

<p>This is the data repository for the article by Kseniia Bondar, Serhiy Taranenko<sup>,</sup> Yaroslav&nbsp;Zatyliuk, Olena&nbsp;Popelnytska and Tetiana Osinchuk by the name &quot;<strong>Ground penetrating radar scanning and historical interpretation of the location of the destroyed Epiphany Cathedral in Kyiv Brotherhood Monastery (Ukraine)</strong>&quot;. In this repository, all the measurement data&nbsp;are stored for further use.</p>

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

GPR data collected near the Chepeta Weather Station and the DUST-1 sampler, Uinta Mountains, Utah

Ground penetrating radar data collected on September 9, 2021 in the Uinta Mountains at the Chepeta Remote Automated Weather Station (RAWS) and the DUST-1 passive dust sampler. Data were collected with a GSSI SIR-4000 control unit and a 350HS antenna connected to an Emlid Reach RS2 GPS receiver. Data files have been distance normalized and field-applied range gains have been removed before being exported in .sgy format. Files were also exported in .kml format for viewing the transect locations in Google Earth. Two long transects (780 feet each) were collected. The "West" transect passed to the west of the Chepta RAWS; the "East" transect passed to the east. The transects started at different points along the northern lip of the summit upland and came together at a common point at their southern ends. Marks were made in the data file every 60 feet while surveying; these marks were used to distance normalize the results. The system collected 334 scans/second with 512 samples/scan while surveying. Two 30-foot perpendicular transects were also surveyed (north to south, and west to east) with their intersection adjacent to a soil pit excavated to a depth of 92 cm. The location of the soil pit was noted in each transect with a mark near 16 feet. Data were used to evaluate spatial variations in the thickness of regolith overlying the bedrock beneath this gently sloping summit flat.

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

Interpretation results used in the paper "Real-Time Dual-Para FWI-Inv of GPR Data Based on Robust Deep Learning"

<p>We provide the updated synthetic data and inversion results used for all interpretations presented in the paper &quot;Real-Time Dual-Parameter FWI Inversion of GPR Data Based on Robust Deep Learning.&quot;</p>

opencc-by-4.0Sep 2023View details →
zenodo36/100

GPR dataset: pulsed radar and SFCW data for rebar detection (experimental data)

<p>GPR data corresponding to the article "Rebar detection: Comparison of stepped frequency continuous wave and pulsed GPR" presented in the 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures (SMAR 2024).&nbsp;</p> <p><span>This work presents a comparison in rebar mapping between two GPR systems with different modulation techniques: Stepped frequency continuous wave (SFCW) and pulsed radar. The SFCW system used has a frequency range of 400-6000 MHz, while the pulsed system used a ground-coupled central frequency antenna of 2.3 GHz. Measurements were conducted on laboratory specimens, with rebar diameters ranging from 8 to 32 mm. Three different specimens were used, with one for calibration and other two to analyze both the horizontal and vertical resolutions of the frequency antennas.</span></p>

opengpl-3.0-or-laterApr 2024View details →
zenodo36/100

Enhancing Full Waveform Inversion of Field GPR Data: A Source-Independent Approach with Dynamic Reference Selection via SE-Wave-U-Net

<p>Data presented in the manuscript titled 'Enhancing Full Waveform Inversion of Field GPR Data: A Source-Independent Approach with Dynamic Reference Selection via SE-Wave-U-Net'</p>

opencc-by-4.0Apr 2024View details →
zenodo36/100

Hydrogeophysical data Schillerslage test site, joint MRT ERT GPR

<p>Dataset of hydrogeophysical Survey at Schillerslage test site including magnetic resonance tomography (MRT), ground-penetrating Radar (GPR) and electrical resistivity tomography (ERT).</p> <p>&nbsp;</p>

opencc-by-4.0May 2019View details →
zenodo36/100

Data repository of FDTD GPR antenna optimization by Sam Stadler

<p>This is the data repository for the article by Sam Stadler and Jan Igel by the name &quot;Developing realistic FDTD GPR antenna surrogates via full-waveform inversion by means of particle swarm optimization&quot;. In this repository, all the measurement data, simulated data, and high-resolution figures are stored for further use.</p>

opencc-by-4.0May 2021View details →
zenodo36/100

Processed GPR data of Mosvatnet, Norway

<p>SEG-Y files corresponding to the processed GPR data collected on- and offshore Mosvatnet, Stavanger, Norway. In the GPR radargram is possible to identify and map Quaternary glacial and post-glacial sediments and non-natural&nbsp;infill materials.&nbsp;</p>

opencc-by-4.0May 2023View details →
dryad36/100

Raw GPR data for: Alluvial dynamics of a formerly glaciated Rocky Mountain headwater valley, Colorado

Open the record for dataset details and reuse information.

publicApr 2025View details →
zenodo32/100

Crosshole seismic data (travel times) and crosshole GPR data (travel times and amplitudes) of the FE experiment in Mont Terri, Switzerland

Open the record for dataset details and reuse information.

opencc-by-4.0Apr 2024View details →
zenodo28/100

Ground-Penetrating Radar (GPR) Data from 41PT283 in Potter County, Texas

<p>On June 16, 2016, a ground-penetrating radar (GPR) survey was conducted at an Antelope Creek site (41PT283) on the Bureau of Land Management&#39;s&nbsp;Cross Bar Management Area&nbsp;in Potter County, Texas. These data represent raw, unprocessed data collected along the X-axis of a 13m (X-axis) x14m (Y-axis) grid at 50cm intervals. This survey is linked to an existing grid from previous investigations at the site in 2007 and 2008. These data will serve as a comparative reference for additional GPR surveys in the area of the Canadian River basin, can be used as an educational dataset to teach GPR processing techniques, and is representative of one of the first GPR surveys at an archaeological site in the Texas panhandle. This dataset includes 29 transects and an illustrated grid.</p> <p>Many thanks to Ryan Howell, Adrian Escobar, and the Bureau of Land Management (BLM) for requisite permissions and access.</p>

embargoedcc-by-4.0Jul 2015View details →
zenodo12/100

GPR data from the Brazilian Caatinga

<p>These data were uploaded for peer review of a manuscript. The figures in the manuscript were made using the pre-processed data packed in DATA.zip. These must be unpacked inside a folder labeled DATA, which must be in the same folder as the Python files unpacked from codes.zip.</p>

restrictedJul 2020View details →
zenodo12/100

Ground-Penetrating Radar (GPR) Data from 41PT283 in Potter County, Texas

<p>On June 27, 2015, a ground-penetrating radar (GPR) survey was conducted at an Antelope Creek site (41PT283) on the Bureau of Land Management&#39;s&nbsp;Cross Bar Management Area&nbsp;in Potter County, Texas. These data represent raw, unprocessed data collected along the X-axis of a 13m (X-axis) x14m (Y-axis) grid at 50cm intervals. This survey is linked to an existing grid from previous investigations at the site in 2007 and 2008. These data will serve as a comparative reference for additional GPR surveys in the area of the Canadian River basin, can be used as an educational dataset to teach GPR processing techniques, and is representative of one of the first GPR surveys at an archaeological site in the Texas panhandle. This dataset includes 29 transects and an illustrated grid.</p> <p>Many thanks to Ryan Howell, Adrian Escobar, and the Bureau of Land Management (BLM) for requisite permissions and access.</p>

restrictedJul 2015View details →
zenodo12/100

Ground-Penetrating Radar (GPR) Data from 41PT112 in Potter County, Texas

<p>On June 27, 2015, a ground-penetrating radar (GPR) survey was conducted at an Antelope Creek site (41PT112) on the Bureau of Land Management&#39;s&nbsp;Cross Bar Management Area in Potter County, Texas. These data represent raw, unprocessed data collected along the X-axis of a 13m (X-axis) x13m (Y-axis) grid at 50cm intervals. These data will serve as a comparative reference for additional GPR surveys in the area of the Canadian River basin, can be used as an educational dataset to teach GPR processing techniques, and is representative of one of the first GPR surveys at an archaeological site in the Texas panhandle.</p> <p>This dataset includes 26&nbsp;transects at 50cm increments along the X-axis (FILE__047 - FILE__072), and 24 transects at 50cm increments along the Y-axis (FILE__073 - FILE__096). The start location for FILE__047 and FILE__073 are the same, at the lower left point on the grid. Data were collected in a zig-zag pattern.</p> <p>Many thanks to Ryan Howell, Adrian Escobar, and the Bureau of Land Management (BLM) for requisite permissions and access.</p>

restrictedJul 2015View details →
zenodo12/100

Ground-Penetrating Radar (GPR) Data from 41PT96 in Potter County, Texas

<p>On June 26, 2015, a ground-penetrating radar (GPR) survey was conducted at an Antelope Creek site (41PT96) on the Bureau of Land Management&#39;s&nbsp;Cross Bar Management Area in Potter County, Texas. These data represent raw, unprocessed data collected along the X-axis of a 55m (X-axis) x13m (Y-axis) grid at 50cm intervals, and a concatenated 27.5m (X-axis) x 10m (Y-axis) grid; also collected at 50cm intervals. These data will serve as a comparative reference for additional GPR surveys in the area of the Canadian River basin, can be used as an educational dataset to teach GPR processing techniques, and is representative of one of the first GPR surveys at an archaeological site in the Texas panhandle.</p> <p>This dataset includes 26&nbsp;transects (FILE__001 - FILE__026)&nbsp;that were collected in a zig-zag pattern along the X-axis of the 55m x 13m grid, &nbsp;beginning in the lower right corner. The additional 20 transects (FILE__027 - FILE__046) were collected from the area immediately adjacent to the first grid, and concatenate with the first grid&nbsp;beginning at the 27.5m center line, which were also collected at 50cm increments beginning in the lower right corner of the grid, adding 10m along&nbsp;the Y-axis.</p> <p>Many thanks to Ryan Howell, Adrian Escobar, and the Bureau of Land Management (BLM) for requisite permissions and access.</p>

restrictedJul 2015View details →
zenodo12/100

GPR Data

Open the record for dataset details and reuse information.

restrictedcc-by-4.0Nov 2023View details →
zenodo4/100

Prediction of chalk porosity and water saturation by combining seismic and GPR data

<p>We predict porosity and water saturation of chalk by combining&nbsp;seismic and GPR data.</p>

restrictedApr 2022View details →

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