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1,663 results for “shells”
Fig. 1 in Form and formation of flares and parabolae based on new observations of the internal shell structure in lytoceratid and perisphinctid ammonoids
Fig. 1. Different expressions of flares (A) and parabolae (B).
Fig. 1 in Unusual shell anatomy and osteohistology in a new Late Cretaceous panchelid turtle from northwestern Patagonia, Argentina
Fig. 1. Geologic map of the "El Anfiteatro" area. Modified from Salgado et al. (2009).
Fig. 10 in Ecophenotypic plasticity versus evolutionary trends-morphological variability in Upper Jurassic bivalve shells from Portugal
Fig. 10. Box plot of rib numbers in Arcomytilus. Numbers in squared brackets refer to Fig. 2.
Fig. 1 in Phosphate replicated and replaced microstructure of molluscan shells from the earliest Cambrian of China
Fig. 1. Location of studied exposures of the Meishucunian in the Yunnan Province.
Shelled animal body mass
<p>estimates based on length measurements from specimens or specimen photos. Lengths from</p> <p>http://www.femorale.com. Conversion formulae from literature sources.</p>
FIGURE 5 in Application of shell spiral deviation methodology to fossil brachiopods: Implications for obtaining specimen ontogenetic ages
FIGURE 5. Spiral deviations from three specimens of the species Terebratula terebratula.
FIGURE 7 in Application of shell spiral deviation methodology to fossil brachiopods: Implications for obtaining specimen ontogenetic ages
FIGURE 7. Spiral deviations from three specimens of the species Pseudoatrypa sp.
FIGURE 6 in Application of shell spiral deviation methodology to fossil brachiopods: Implications for obtaining specimen ontogenetic ages
FIGURE 6. Spiral deviations from three specimens of the species Platystrophia ponderosa.
Fig. 6 in Fractal analysis of ostracod shell variability: A comparison with geometric and classic morphometrics
Fig. 6. Location of landmarks chose on Krithe valve for shape analysis.
Fig. 1 in Sublethal injuries in Early Devonian cephalopod shells from Morocco
Fig. 1. Geologic map of Morocco (A) and detail of the eastern Anti−Atlas (B).
Source code of tables for the publication "K- and L-shell theoretical fluorescence yields for the Fe isonuclear sequence"
<p>In this work, we present K- and L- shell fluorescence yield values of the full isonuclear sequence of Fe ions, using a state-of-the-art multiconfiguration Dirac-Fock approach. These results may be of importance for spectral fitting and plasma modeling, both in laboratory and astrophysical studies, where Fe is an important benchmark element. The K-shell fluorescence yields were found to be very similar up to the removal of 14 electrons.</p>
Dataset: Toolset for Collecting Shell Commands and Its Application in Hands-on Cybersecurity Training
<p>This repository contains supplementary materials for the following conference paper:</p> <p>Valdemar Švábenský, Jan Vykopal, Daniel Tovarňák, Pavel Čeleda.<br> <em>Toolset for Collecting Shell Commands and Its Application in Hands-on Cybersecurity Training.</em><br> In Proceedings of the 51st IEEE Frontiers in Education Conference (FIE 2021).<br> <a href="https://doi.org/10.1109/FIE49875.2021.9637052">https://doi.org/10.1109/FIE49875.2021.9637052</a></p> <p>Preprint available at: <a href="https://arxiv.org/abs/2112.11118">https://arxiv.org/abs/2112.11118</a></p> <ol> </ol> <p><strong>How to cite</strong></p> <p>If you use or build upon the materials, please use the BibTeX entry below to cite the original paper (not only this web link).</p> <p>Some of the linked repositories have their separate citation entry; please use that one as well, if possible.</p> <pre><code>@inproceedings{Svabensky2021toolset, author = {\v{S}v\'{a}bensk\'{y}, Valdemar and Vykopal, Jan and Tovar\v{n}\'{a}k, Daniel and \v{C}eleda, Pavel}, title = {{Toolset for Collecting Shell Commands and Its Application in Hands-on Cybersecurity Training}}, booktitle = {Proceedings of the 51st IEEE Frontiers in Education Conference}, series = {FIE '21}, location = {Lincoln, NE, USA}, publisher = {IEEE}, address = {New York, NY, USA}, month = {10}, year = {2021}, pages = {1--9}, numpages = {9}, isbn = {978-1-6654-3851-3}, url = {https://doi.org/10.1109/FIE49875.2021.9637052}, doi = {10.1109/FIE49875.2021.9637052}, }</code></pre> <p><strong>Structure of the repository</strong></p> <p>We share four types of content described below. Each of the four types of materials includes:</p> <ul> <li>a link to an up-to-date GitLab repository, which may contain possible future revisions and error corrections, and</li> <li>a ZIP archive here on Zenodo that serves as a snapshot of the state when the article was published.</li> </ul> <p><strong>Attached content</strong></p> <ol> <li><strong>Logging toolset.</strong> It is implemented in the form of <a href="https://www.ansible.com/">Ansible</a> roles and consists of three separate projects: for <a href="https://gitlab.ics.muni.cz/muni-kypo/ansible-roles/sandbox-logging-bash">Bash logging</a>, <a href="https://gitlab.ics.muni.cz/muni-kypo/ansible-roles/sandbox-logging-msf">Metasploit logging</a>, and <a href="https://gitlab.ics.muni.cz/muni-kypo/ansible-roles/sandbox-logging-forward">log forwarding within the sandbox</a>.</li> <li><strong>Sample training.</strong> To quickly test the toolset, instantiate the exemplary cybersecurity game called <a href="https://gitlab.ics.muni.cz/muni-kypo-trainings/games/junior-hacker">Junior hacker training</a>. It already deploys the logging; no further setup is needed.</li> <li><strong>Dataset.</strong> The data collected with the toolset are available at <a href="https://gitlab.ics.muni.cz/muni-kypo-trainings/datasets/commands">this repository</a>, which is being gradually updated with new data. Attached is a subset of this repository that includes the data analyzed in the paper.</li> <li><strong>Analytical tools.</strong> To analyze the data, you can either use the attached Python scripts, or instantiate <a href="https://gitlab.ics.muni.cz/muni-kypo/tools/commands-elk">this project for ELK</a>.</li> </ol>
Figure 1 in Pattern of shell occupation by the hermit crab Pagurus exilis (Anomura, Paguridae) on the northern coast of São Paulo State, Brazil
Figure 1. Pagurus exilis: size frequency distribution for the individuals collected.
FIG. 12 in Quaternary and Recent shells of Ocenebra erinaceus (Linnaeus, 1758) and O. brevirobusta Houart, 2000 (Mollusca, Muricidae, Ocenebrinae): reflections on the intra- and interspecific variations
FIG. 12. — Favourite phylogenetic hypothesis.
Figure 7. A, B in Systematics, shell structure and affinities of the Palaeozoic Problematicum Cornulites
Figure 7. A, B, BU 4387, C. scalariformis, longitudinal
16S processed data and shell processing scripts for "Epithelial-myeloid exchange of MHCII constrains immunity and microbiota composition"
<p>Main repo for MHCII on IECs 16S processing code.</p>
Multidimensional Parameter Study of Double Detonation Type Ia Supernovae Originating from Thin Helium Shell White Dwarfs
<p>This dataset provides the end-state ejecta data for each of the simulations from Boos et al. 2021, along with condensed versions for use in radiative transfer calculations.</p>
Shell size of Margaritifera margaritifera from NW Spain
<p>Excel file including data on shell length, heigth and width for 803 individuals of Margaritifera margaritifera from rivers in NW Spain</p>
Data from: Optimising the hatching success of artificially incubated eggs for use in a conservation program for the western saw-shelled turtle (Myuchelys bellii)
<p>Artificial incubation of eggs and the release of hatchlings into the wild is a common conservation intervention designed to augment threatened turtle populations. We investigate a range of incubation temperatures to establish an optimal temperature for maximum hatching success of western saw-shelled turtle (<em>Myuchelys</em> <em>bellii</em>) eggs. We report on the influence of incubation temperature on incubation duration and hatching success and describe two experimental incubation methods which, for the same incubation temperature, resulted in 77% and 97% hatching success, respectively. Eggs were incubated at constant temperatures (27°C, 28°C and 29°C) to determine the influence of temperature on incubation period, hatchling morphology and external residual yolk. Incubation duration was negatively correlated with incubation temperature. We report on the morphology of eggs and hatchlings and show that their dimensions are positively correlated with maternal adult size and mass. A constant incubation temperature of 27°C produced the highest hatching success and smallest external residual yolk on hatching and is therefore recommended for incubation of eggs for population reinforcement programs. Our study is the first to optimise artificial incubation procedures for <em>M</em>. <em>bellii</em> and will be a valuable resource for <em>M</em>. <em>bellii</em> and other threatened freshwater turtle conservation initiatives.</p>
Planktonic foraminifera count, shell weight and size data from sediment traps in the Fram Strait, HAUSGARTEN observatory (TDLT 2014), 2014 - 2015
<p>Counts, shell weight and shell size data of planktonic foraminifera from two depths of the sediment Trap TDLT 2014 in the HAUSGARTEN observatory in the eastern Fram Strait. Comparison of the count data done in the context of this study with count data conducted after the initial retrieval of the trapped material indicate high deviation. It is likely that the samples were affected by dissolution during the storage between retrieval (2015) and analysis (2020/2021), therefore both counts and weight and size data might not be representative.<br> <br> This data is supplement to the dissertation from Tell (2023).</p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.