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629 results for “Clay”
FIGURE 29 in Fruits, seeds and flowers from the Puryear clay pit (middle Eocene Cockfield Formation), western Tennessee, USA
FIGURE 29. Liquidambar? sp.: CONN-Q12-01, laterally compressed infructescence with persistent styles. Scale bar equals 4 mm.
FIGURE 10 in Fruits, seeds and flowers from the Puryear clay pit (middle Eocene Cockfield Formation), western Tennessee, USA
FIGURE 10. Caesalpinia claibornensis Herendeen and Dilcher, 1991: 1) UF15820-005854, incomplete fruit showing both valve and wing venation; 2) UF15820-005855, incomplete fruit showing both valve and wing venation. All scale bars equal 5 mm.
FIGURE 4. Claiborne Arecaceae Fruit Type 1 in Fruits, seeds and flowers from the Puryear clay pit (middle Eocene Cockfield Formation), western Tennessee, USA
FIGURE 4. Claiborne Arecaceae Fruit Type 1: UF15820-059477, laterally compressed fruit with fibers. Note that curved fibers (indicated by arrows) extend from the base to beyond the apex of the fruit. Scale bar equals 2 mm.
Data and code for 'Influence of cross-correlation on the modelled uncertainty in stress–strain behavior of soft clays'
<p>This dataset contains data and code used in the research work for the manuscript "Influence of cross-correlation on the modelled uncertainty in stress–strain behavior of soft clays". The study considered two case studies, Haarajoki clay and Suurpelto clay. Two settlement calculation methods were used: compression index method and Janbu (tangential stiffness) method. In addition, clay database FI-CLAY/14/856 was extended and used to study cross-correlations between compressibility paramaters at different clay sites. Version 2 of FI-CLAY/14/856 is provided, including some other updates and corrections also.</p> <p>The Monte Carlo simulation with Gaussian copula was implemented with Python in Jupyter Notebook environment. In addition to data and code, supplementary figures are also provided. The contents of the dataset-folder are briefly described below:</p> <ul> <li>1_Data_Oedometer_test <ul> <li>Oedometer test data for Haarajoki clay and Suurpelto clay: <ul> <li>Data tables that include the clay specimen identifications, index properties, and oedometer test results (.xlsx)</li> <li>Oedometer raw data files that include all the available stress-strain measurements of both constant-rate-of-strain and incrementally loaded odometer tests (.xlsx)</li> </ul> </li> <li>Extended clay database FI-CLAY/14/856 (version 2) (.xlsx)</li> </ul> </li> <li>2_Code_Jupyter_Notebooks <ul> <li>Python code used to run the Monte Carlo simulations and to create the results figures (.ipynb)</li> <li>Readme-file (.txt)</li> </ul> </li> <li>3_Figures_Online_Supplement <ul> <li>Scatterplots with histograms that show the simulated compressibility parameters in each case (.pdf)</li> </ul> </li> </ul> <p> </p> <p>More information on database FI-CLAY/14/856 can be found from the original article (https://www.tandfonline.com/doi/full/10.1080/17499518.2020.1864410) and 304dB datbase compilation by TC304 (http://140.112.12.21/issmge/tc304.htm).</p> <p> </p>
Data from: Brine driven destruction of clay minerals in Gale crater, Mars
<p><span><span><span><span><span><span><span><span><span><span><span>This repository contains files and non-commercial software associated with the journal article "Brine Driven Destruction of Clay Minerals in Gale Crater, Mars.<strong>" </strong></span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>The article presents mineralogical, geochemical, and sedimentological observations made by the Mars Science Laboratory rover <em>Curiosity </em>in an area called Glen Torridon, Gale crater, Mars. Rocks exposed in Glen Torridon were deposited in a lake that occupied the floor of Gale crater about 3.5 billion years ago and are stratigraphic and depositional equivalents of rocks exposed ~ 400m away on Vera Rubin ridge. The mineralogy of rocks in these two areas are different despite forming in the same lake at the same time. Glen Torridon rocks contain about 30 wt % clay minerals and 2 wt % or less of the mineral hematite (an iron oxide). In contrast, Vera Rubin ridge rocks contain 5 to 13 wt % clay minerals, with larger quantities (between 9 and 16 wt %) of iron oxide and oxyhydroxide minerals. The observed differences in mineralogy are attributed to preferential post-depositional alteration of Vera Rubin ridge rocks by silica-poor brines. These brines are thought to have formed during the deposition of sedimentary strata of the 'sulfate-bearing unit' that overlie Glen Torridon and Vera Rubin ridge rocks. Orbital spacecraft have detected magnesium sulfates in the sulfate-bearing unit. The presence of these highly soluable salts imply that changing climate and/or hydrological conditions in Gale crater resulted in the formation of dense brines during deposition of the sulfate-bearing unit. It is hypothesized that brines infiltrated older clay-bearing sediments, converting iron-rich clay minerals to iron oxides and oxyhydroxides. Glen Torridon rocks also contain a mineral phase not previously identified on the mission. This mineral gives rise to a distinctive x-ray diffraction peak represents a interplanar spacing of 9.22 angstroms. This phase is identified as a mixed-layer serpentine-talc and is thought to have been transported into the crater floor by rivers.</span></span></span></span></span></span></span></span></span></span></span></p> <p>This repository contains:</p> <p>- Files needed to perform mineral search and Rietveld refinement of measured x-ray diffraction data using <span><span><span><span><span><span><span><span><span><span><span>BGMN and MDI Jade software.</span></span></span></span></span></span></span></span></span></span></span> </p> <p>- A non-commerical Excel-based program called FULLPAT, used for mineral and x-ray amorphous quantification of x-ray diffraction patterns collected by the CheMin instrument aboard <em>Curiosity. </em></p> <p><em>- </em>Python code that was used to identify the 9.22 angstrom phase through automated search the American Mineralogist Crystal Structure Database.</p> <p>- Collection times of Alpha Particle X-ray Spectrometer analyses of bulk rock geochemical presented in the article that can be used to retrieve raw data from NASA's Planetary Data system (<span><span><span><span><span><span><span><span><span><span><span>https://pds-geosciences.wustl.edu/msl/msl-m-apxs-4_5-rdr-v1/mslapx_1xxx/extras/)</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>- A compilation of Li abundances across Vera Rubin ridge and Glen Torridon measured by the ChemCam that were presented in the article and used as a proxy for rock clay mineral content.</span></span></span></span></span></span></span></span></span></span></span></p>
Text-fig. 4. Stratigraphic correlation of the five major fossil-bearing localities in the Mikhailovka quarry near Zheleznogorsk. 1 – loesses and soils, 2 – unlaminated loams, 3 – laminated loams, 4 – clays, 5 – sands, 6 – gravels, 7 – carbonate concretions, 8 – mollusk shells, 9 – small mammal remains, 10 – insect remains, 11 – plant macroremains. in Late Pleistocene (Eemian) Mollusk And Small Mammal Fauna From Mikhailovka-5 (Kursk Oblast, Central Russia)
Text-fig. 4. Stratigraphic correlation of the five major fossil-bearing localities in the Mikhailovka quarry near Zheleznogorsk. 1 – loesses and soils, 2 – unlaminated loams, 3 – laminated loams, 4 – clays, 5 – sands, 6 – gravels, 7 – carbonate concretions, 8 – mollusk shells, 9 – small mammal remains, 10 – insect remains, 11 – plant macroremains.
Text-fig. 3. Correlation of geological sections with Pleistocene deposits of the Mikhailovka quarry near Zheleznogorsk. 1 – modern and fossil soils, 2 – loess-like loam, 3 – sandy clay, 4 – aleurites, 5 – horizontally laminated clays, 6 – brown loams, 7 – blue clays and loams, 8 – sands, 9 – gravels, 10 – mollusk shells, 11 – small mammal remains. in Late Pleistocene (Eemian) Mollusk And Small Mammal Fauna From Mikhailovka-5 (Kursk Oblast, Central Russia)
Text-fig. 3. Correlation of geological sections with Pleistocene deposits of the Mikhailovka quarry near Zheleznogorsk. 1 – modern and fossil soils, 2 – loess-like loam, 3 – sandy clay, 4 – aleurites, 5 – horizontally laminated clays, 6 – brown loams, 7 – blue clays and loams, 8 – sands, 9 – gravels, 10 – mollusk shells, 11 – small mammal remains.
Fig. 2 in A primitive moth from the earliest Eocene Fur Formation ("Mo-clay") of Denmark (Lepidoptera: Micropterigidae)
Fig. 2: Line drawing of holotype forewing of Moleropterix kalbei nov.gen. et sp. (KU-NHM-ENT FFD-002). Dashed lines indicate those veins present but very faintly preserved and difficult to see in the specimen; marginal setae and patterning of wing (there are at least two pale patches, the larger is medially on the wing surrounding the forking of Rs3-4, the origin of M1, and surrounding areas: vide Fig. 1) omitted. Scale bar = 1 mm.
Fig. 1 in A primitive moth from the earliest Eocene Fur Formation ("Mo-clay") of Denmark (Lepidoptera: Micropterigidae)
Fig. 1: Photomicrograph of of holotype forewing of Moleropterix kalbei nov.gen. et sp. (KU- NHM-ENT FFD-002).
Text-fig. 1. The Catefica exposure along the road between Catefica and Mugideira photographed in 1989 when the mesofossil flora was discovered. The exposed strata are mainly cross-bedded light colored sands, darker horizons of clay and dark lenses with mesofossils. The most productive sample, Catefica sample 49, was collected in the basal part of the exposed sequence (arrow head). One of the authors (PRC) exploring the middle part of the section. Photo K. R. Pedersen. in The Early Cretaceous Mesofossil Flora Of Catefica, Portugal: Angiosperms
Text-fig. 1. The Catefica exposure along the road between Catefica and Mugideira photographed in 1989 when the mesofossil flora was discovered. The exposed strata are mainly cross-bedded light colored sands, darker horizons of clay and dark lenses with mesofossils. The most productive sample, Catefica sample 49, was collected in the basal part of the exposed sequence (arrow head). One of the authors (PRC) exploring the middle part of the section. Photo K. R. Pedersen.
Reassessing variations in the small-strain stiffness of London Clay
<p>Supplementary dataset for "Reassessing variations in the small-strain stiffness of London Clay" Le, Standing and Potts (2023), Géotechnique. https://doi.org/10.1680/jgeot.21.00292</p> <p> </p> <p> </p>
Base de Dado de VOSviewer - Clay - Tese de Doutorado - USP /IPEN
<p>A base de dados do VOSviewer utilizada na Tese de Doutorado da USP/IPEN é uma ferramenta essencial para analisar e visualizar informações relacionadas ao campo de nanocompósitos poliméricos à base de argila. Nessa pesquisa, a base de dados foi cuidadosamente construída e compreendeu um conjunto diversificado de informações, incluindo dados bibliométricos e conceituais.</p> <p>O VOSviewer permitiu aos pesquisadores analisar a quantidade de publicações, frequência de citações, colaborações internacionais, instituições e autores de destaque nesse campo. Além disso, a ferramenta ajudou a identificar tendências e temas emergentes, proporcionando insights valiosos sobre a evolução e as direções futuras da pesquisa em nanocompósitos poliméricos à base de argila.</p> <p>Essa base de dados e a análise realizada por meio do VOSviewer desempenharam um papel fundamental na Tese de Doutorado da USP/IPEN, fornecendo uma visão abrangente e embasada nas pesquisas existentes nesse domínio. Ela contribuiu para a compreensão aprofundada desse campo multidisciplinar e apoiou a criação de uma ontologia para representar de forma estruturada o conhecimento nessa área de estudo.</p>
MarTREC Publication forBio-Inspired Stabilization of Levee Slope on Expansive Yazoo Clay at the Maritime and Multimodal Transportation Infrastructure in Mississippi
<p>The link considers the data file for the MarTREC Project: Bio-Inspired Stabilization of Levee Slope on Expansive Yazoo Clay at the Maritime and Multimodal Transportation Infrastructure in Mississippi.</p> <p>PI: Dr. Sadik Khan</p> <p>Funding Agency: This material is based upon work supported by the U.S. Department of Transportation under Grant Award Number DTRT13-G-UTC50. The work was conducted through the Maritime Transportation Research and Education Center at the University of Arkansas.</p>
Data for high-clay content submarine slope failure flume experiments. Experiment 25% clay, static 1, part 1.
<p>These video and photographic data support the following manuscripts:</p><p>Silver, M.M.W., Dugan, B., 2020, The influence of clay content on submarine slope failure: insights from laboratory experiments and numerical models, Geological Society of London, Special Publications, 500, 301-309, <a href="https://doi.org/10.1144/SP500-2019-186">https://doi.org/10.1144/SP500-2019-186</a>. </p><p>Silver, M.M.W., Dugan, B., 2023, Cohesion, permeability, and slope failure dynamics: implications for failure morphology and tsunamigenesis from benchtop flume experiments, Marine Geology, 462, <a href="https://doi.org/10.1016/j.margeo.2023.107079">https://doi.org/10.1016/j.margeo.2023.107079</a>.</p><p>Log sheets are included for each experiment file.</p>
Data for high-clay content submarine slope failure flume experiments. Experiment 25% clay, static 1, part 2.
<p>These video and photographic data support the following manuscripts:</p><p>Silver, M.M.W., Dugan, B., 2020, The influence of clay content on submarine slope failure: insights from laboratory experiments and numerical models, Geological Society of London, Special Publications, 500, 301-309, <a href="https://doi.org/10.1144/SP500-2019-186">https://doi.org/10.1144/SP500-2019-186</a>. </p><p>Silver, M.M.W., Dugan, B., 2023, Cohesion, permeability, and slope failure dynamics: implications for failure morphology and tsunamigenesis from benchtop flume experiments, Marine Geology, 462, <a href="https://doi.org/10.1016/j.margeo.2023.107079">https://doi.org/10.1016/j.margeo.2023.107079</a>.</p><p>Log sheets are included for each experiment file.</p>
The effect of biofluorescence on predation upon Cope’s gray treefrog: A clay model experiment
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Data from: Clay larvae do not accurately measure biogeographic patterns in predation
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Data from: Brine driven destruction of clay minerals in Gale crater, Mars
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High-frequency sensor data collected by Stroud Water Research Center in a recovery reach of White Clay Creek site ID WCC017 from April through December 2018
High-frequency sensor data at 5-min intervals using a s::can®oxy::lizer IITM and Solinst level logger, an Apogee SQ-212 sensor, and an s::can® field spectrophotometer in a recovery reach at White Clay Creek from April through December 2018. These data were collected as part of a study focused on baseflow dynamics of DOC and nitrate in White Clay Creek, Stroud Water Research Center. The parameters in this data package are water temperature, dissolved oxygen, depth, Photosynthetically Active Radiation (PAR), dissolved oxygen concentration, dissolved organic carbon concentration (DOC) and nitrate concentration. Data are presented in two tables. All the parameters and table are further explained in the metadata.
High-frequency sensor turbidity data collected by Stroud Water Research Center in a meadow reach of White Clay Creek site ID WCC017 from January 2014 through May 2021
High-frequency sensor data from a Campbell Scientific OSB3 (every 5-minutes) in a recovery reach at White Clay Creek from January 2014 through May 2021. Funded by NSF and DEB as part of the LTREB grant to study the recovery of stream ecosystem structure and function during reforestation, Stroud Water Research Center. The parameter in this data package is turbidity. Data are presented in two tables which likely have significant overlap. The raw data table presents the data exactly as it was downloaded from the Aquarius Database. It is formatted as a "wide" human-readable table. Turbidity at White Clay Creek Site WCC017 since 2014 OSB3 presents only the data from the respective sensors. These tables are gap filled for intervals greater than 10 minutes and less than 24 hours, formatted as a "wide" human-readable table. All of the parameters and table are further explained in the metadata.
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