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29,940 full-text articles. Page 82 of 1248.

117, Scott Brande 2024 University of Alabama at Birmingham

117, Scott Brande

All 3D Rock Models

Model 117 - gabbro - igneous rock

SketchFab link: https://sketchfab.com/3d-models/117-7aa0c6791f984aabbd11afd11efae604


118, Scott Brande 2024 University of Alabama at Birmingham

118, Scott Brande

All 3D Rock Models

Model 118 - gabbro - igneous rock

SketchFab link: https://sketchfab.com/3d-models/118-1581789f63c4446d9fd60d6a9926f06c


120, Scott Brande 2024 University of Alabama at Birmingham

120, Scott Brande

All 3D Rock Models

Model 120 - granite - igneous rock

SketchFab link: https://sketchfab.com/3d-models/120-5fc8bd01a11b4e26b63f971f49205152


125, Scott Brande 2024 University of Alabama at Birmingham

125, Scott Brande

All 3D Rock Models

Model 125 - peridotite - igneous rock

SketchFab link: https://sketchfab.com/3d-models/125-492cb73d2ecf4ef099673671533e0fb9


127, Scott Brande 2024 University of Alabama at Birmingham

127, Scott Brande

All 3D Rock Models

Model 127 - diorite - igneous rock

SketchFab link: https://sketchfab.com/3d-models/127-21c97cc7e71241d7a9f3925165df9a3f


111, Scott Brande 2024 University of Alabama at Birmingham

111, Scott Brande

All 3D Rock Models

Model 111 - andesite - igneous rock

SketchFab link: https://sketchfab.com/3d-models/111-510ba461f1d94a729070b0f30ef0b4e6


128, Scott Brande 2024 University of Alabama at Birmingham

128, Scott Brande

All 3D Rock Models

Model 128 - gabbro - igneous rock

SketchFab link: https://sketchfab.com/3d-models/128-3bcbedd3249e4254bffa3233a6977a9e


Daal, Scott Brande 2024 University of Alabama at Birmingham

Daal, Scott Brande

All 3D Rock Models

Model DAAL - gabbro - igneous rock

SketchFab link: https://sketchfab.com/3d-models/daal-1-71e1bddbca0b486bb085fd1deb471124


124, Scott Brande 2024 University of Alabama at Birmingham

124, Scott Brande

All 3D Rock Models

Model 124 - peridotite - igneous rock

SketchFab link: https://sketchfab.com/3d-models/124-f0f053e2206944f888962f46273686d3


132, Scott Brande 2024 University of Alabama at Birmingham

132, Scott Brande

All 3D Rock Models

Model 132 - diorite - igneous rock

SketchFab link: https://sketchfab.com/3d-models/132-330f669b9a684e15a96684a20214ca86


134, Scott Brande 2024 University of Alabama at Birmingham

134, Scott Brande

All 3D Rock Models

Model 134 - pumice - igneous rock

SketchFab link: https://sketchfab.com/3d-models/134-c3a2828764bd4e74a43dd32520e0cbf5


130, Scott Brande 2024 University of Alabama at Birmingham

130, Scott Brande

All 3D Rock Models

Model 130 - pegmatite - igneous rock

SketchFab link: https://sketchfab.com/3d-models/130-a7623f4cc0c54544bf5bd1180391f007


133, Scott Brande 2024 University of Alabama at Birmingham

133, Scott Brande

All 3D Rock Models

Model 133 - pumice - igneous rock

SketchFab link: https://sketchfab.com/3d-models/133-ef1923fe77f84ba0917927dd9eb4334f


Surficial Geologic Map Of The Smiths Grove 7.5-Minute Quadrangle, Kentucky, Meredith Swallom, Bailee Nicole Hodelka, Matthew Massey, Hannah Hayes, Charles Wells III, Emily Morris 2024 University of Kentucky

Surficial Geologic Map Of The Smiths Grove 7.5-Minute Quadrangle, Kentucky, Meredith Swallom, Bailee Nicole Hodelka, Matthew Massey, Hannah Hayes, Charles Wells Iii, Emily Morris

Contract Reports--KGS

The Kentucky Geological Survey (KGS), a state-supported independent research center within the University of Kentucky, is committed to providing accurate and unbiased geologic information on natural resources, environmental issues, and natural hazards in Kentucky. While Kentucky boasts complete coverage by 1:24,000-scale geologic bedrock maps, surficial materials have been largely overlooked, except in regions with thick deposits obscuring the bedrock. Given the increasing trends in economic development and urbanization, detailed surficial geologic mapping has become crucial for supporting geotechnical planning, environmental management, and hazard assessment. In response, KGS has prioritized new, detailed surficial geologic mapping since 2004, specifically targeting areas anticipated …


Storm-Generated Molluscan Thanatocoenosis Along A Carbonate Paleoshoreline: Southern Eleuthera Island, The Bahamas, Ilya Val Buynevich, Michael Savarese, H. Allen Curran, Tara Ingalsbe 2024 Temple University

Storm-Generated Molluscan Thanatocoenosis Along A Carbonate Paleoshoreline: Southern Eleuthera Island, The Bahamas, Ilya Val Buynevich, Michael Savarese, H. Allen Curran, Tara Ingalsbe

Geosciences: Faculty Publications

Concentrations of large mollusc shells in coastal deposits provide important information about the local malacofauna and potential transport agents, including extreme events [1-4]. Such accumulations are common in the rock record [5,6], with Quaternary examples serving as good time-averaged examples by combining aspects of both the modern biocoenoses and the fossil record. Death assemblages of local organisms (thanatocoenosis) and their preserved record (taphocoenosis) in carbonate settings, where granulometric spectrum may be very limited (e.g., ooilitic sand), can serve as important paleo-environmental indicators, especially when considered in combination with primary sedimentary structures (in outcrops or geophysical images) and in situ biogenic …


The Geodetic Strain Rates From Gnss In The North American-Carribean-Cocos Triple Junction In Guatemala And Implications For Seismic Hazard, Tanaya Kashyap 2024 Missouri University of Science and Technology

The Geodetic Strain Rates From Gnss In The North American-Carribean-Cocos Triple Junction In Guatemala And Implications For Seismic Hazard, Tanaya Kashyap

Masters Theses

"Geodetic velocity data are pivotal for deciphering seismic risks, providing initial constraints for crustal surface strain rates. Gaining an understanding of the 2D surface strain tensor across an entire area necessitates knowledge of the surface velocity field, yet geodetic data such as measurements from the Global Navigation Satellite System (GNSS) are dispersed across the Earth’s surface. In the current scope of study, we have employed various methodologies to estimate strain rates in Guatemala, utilizing GNSS velocity data and leveraging the open-source Python tool Strain_2D. Strain_2D facilitates the computation of strain rates through diverse methods applied to the same dataset and …


Post-Glacial Landscape Evolution Of The Lower St. Croix River Valley: The Enigma Of Glacial Lake Grantsburg, The Osceola Bench, And The St. Croix Dells, Hunter Delikowski 2024 Minnesota State University, Mankato

Post-Glacial Landscape Evolution Of The Lower St. Croix River Valley: The Enigma Of Glacial Lake Grantsburg, The Osceola Bench, And The St. Croix Dells, Hunter Delikowski

All Graduate Theses, Dissertations, and Other Capstone Projects

The St. Croix River valley (SCRV) is the product of dyssynchronous glacial advance and retreat of several glacial lobes during regional deglaciation of the Late Pleistocene-Early Holocene transition. Additionally, the SCRV has been dramatically shaped by multiple proglacial lake drainage episodes. Therefore, the SCRV is an important case study to understanding the impacts of proglacial lake spillover processes. However, the magnitude, frequency, timing, duration, and geomorphic impacts of these floods remain enigmatic. We focus on a specific reach of the SCRV, which we name the Lower SCRV for the purpose of this study. The lower SCRV contains several anomalous landforms …


Joint Interpretation Of Ert And Self-Potential Data To Characterize The Subsurface Geology And Hydrodynamics Along The Sutherland Supply Canal And Paxton Siphon Inlet, Paxton, Nebraska., M. K. Aboushanab, D. R. Hallum, R. M. Joeckel 2024 University of Nebraska - Lincoln

Joint Interpretation Of Ert And Self-Potential Data To Characterize The Subsurface Geology And Hydrodynamics Along The Sutherland Supply Canal And Paxton Siphon Inlet, Paxton, Nebraska., M. K. Aboushanab, D. R. Hallum, R. M. Joeckel

Conservation and Survey Division: Faculty and Staff Publications

No abstract provided.


Earth Mri Western Kentucky Fluorspar District 3d Geological Modeling, Devan M. Robinson, Anna Pearson, John B. Hickman, Georgina Lukoczki, William Morton Andrews Jr. 2024 University of Kentucky

Earth Mri Western Kentucky Fluorspar District 3d Geological Modeling, Devan M. Robinson, Anna Pearson, John B. Hickman, Georgina Lukoczki, William Morton Andrews Jr.

Research Data--KGS

The Illinois–Kentucky Fluorspar District (IKFD) three-dimensional (3D) geological data model plays a critical role in the EarthMRI IKFD project, which aims to utilize the vast and detailed geologic maps and datasets that the Kentucky and Illinois state geological surveys possess to develop a Geographic Information System (GIS)-based 3D geological framework model for the district. The model serves as a framework in which to view the subsurface geological and geochemical data, and to better comprehend the structural and other geologic processes acting on the region as they relate to the locations of critical minerals. The development of the model will also …


Coupling-Informed Data-Driven Scheme For Joint Angle And Frequency Estimation In Uniform Linear Array With Mutual Coupling Present, Yanming Zhang, Wenchao Xu, A. Long Jin, Min Li, Peifeng Ma, Lijun Jiang, Steven Gao 2024 Missouri University of Science and Technology

Coupling-Informed Data-Driven Scheme For Joint Angle And Frequency Estimation In Uniform Linear Array With Mutual Coupling Present, Yanming Zhang, Wenchao Xu, A. Long Jin, Min Li, Peifeng Ma, Lijun Jiang, Steven Gao

Electrical and Computer Engineering Faculty Research & Creative Works

This paper proposes a novel coupling-informed data-driven algorithm tailored for the concurrent estimation of frequency and angle within a uniform linear array (ULA), while addressing the complicating influence of mutual coupling. Leveraging the hybrid dynamic mode decomposition (DMD) methodology, termed as averaged DMD, we incorporate moving average techniques to achieve effective denoising. The averaged DMD further decomposes the received signal into eigenvalues and corresponding eigenvectors. The frequency information is derived from the eigenvalues and the corresponding eigenvectors represent the steering vectors of sources. Subsequently, mutual coupling is informed into the calibration of the steering vector for each source. Specifically, the …


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