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751 results for “geology”
Figure 6 in Tracking parallel adaptation of shell morphology through geological times in the land snail genus Pupilla (Gastropoda: Stylommatophora: Pupillidae)
Figure 6. Thin-plate splines illustrating (theoretical) transitions in shape, side view, exaggeration 5 times. A, fossil P. loessica → extant P. loessica. B, fossil P. pratensis (including P. m. densegyrata) → extant P. pratensis. C, fossil P. pratensis (including P. m. densegyrata) → extant P. alpicola. D, extant P. pratensis → P. alpicola. E, extant P. loessica→ P. alpicola. F, fossil P. muscorum → extant P. muscorum.
Figure 8 in Tracking parallel adaptation of shell morphology through geological times in the land snail genus Pupilla (Gastropoda: Stylommatophora: Pupillidae)
Figure 8. Phylogenetic tree based on COI. 50% majority rule consensus tree from Bayesian analysis with posterior probabilities/bootstrap support values (from maximum likelihood analysis). Sample abbreviations and groups of samples are given in Tables 1 and 3.
Figure 11 in Tracking parallel adaptation of shell morphology through geological times in the land snail genus Pupilla (Gastropoda: Stylommatophora: Pupillidae)
Figure 11. Pupa muscorum var. pratensis. Series of four shells from type locality Dinkelscherben near Augsburg (Germany) in frontal and lateral view. A, neotype SMNS-ZI0138339. B–D, SMNS-ZI0138341.
Figure 10 in Tracking parallel adaptation of shell morphology through geological times in the land snail genus Pupilla (Gastropoda: Stylommatophora: Pupillidae)
Figure 10. Pupilla loessica. Series of four shells from type locality Předmostí at Přerov (Czech Republic, fossil from Saalian loess) in frontal and lateral view. A is the designated neotype. All deposited at the National Museum of Prague.
Figure 7 in Tracking parallel adaptation of shell morphology through geological times in the land snail genus Pupilla (Gastropoda: Stylommatophora: Pupillidae)
Figure 7. Shell microsculpture (SEM micrographs). A–T, P. loessica. U–Z, P. alpicola. a–d, P. alpicola (morphogroup P. m. densegyrata). e–h, P. alpicola (lowland populations "P. pratensis"). i–j, P. muscorum. A–B, M_4559, Altai, Saylyugem (Russia). C–D, M_4575, Altai, Saylyugem (Russia). E–F, H_MC409, Altai, Dzhazator (Russia). G–H, M_3970, Khatgal, shore of Lake Khövsgöl Nuur (northern Mongolia). I–J, M_2523_2, Yelantsy near Lake Baikal (Russia). K–L, M_2523_1, Yelantsy near Lake Baikal (Russia). M–N, M_994, Karsdorf (Saxony Anhalt, Germany), fossil from Early Saalian. O–P, M_459, Zeuchfeld (Saxony
Figure 9 in Tracking parallel adaptation of shell morphology through geological times in the land snail genus Pupilla (Gastropoda: Stylommatophora: Pupillidae)
Figure 9. Phylogenetic tree based on ITS2. 50% majority rule consensus tree from Bayesian analysis with posterior probabilities/bootstrap support values (from maximum likelihood analysis). Sample abbreviations and groups of samples are given in Tables 1 and 3.
The role of geological mouth islands on the morphodynamics of back-barrier tidal basins
<p>Model input files associated with "The role of geological mouth islands on the morphodynamics of back-barrier tidal basins".</p>
West Spitsbergen Fold and Thrust Belt: a digital educational data package for teaching structural geology
<p>The following digital educational data package is provided as part of the submission of the publication Horota et al. (2022) <em>West Spitsbergen Fold and Thrust Belt: a digital educational data package for teaching structural geology</em>, considered for publication in the Journal of Structural Geology. The dataset contains a QGIS, ArcGIS Pro and a Petrel projects with all the associated data.</p>
Climate and geology overwrite land use effects on soil organic nitrogen cycling on a continental scale
<p><strong>Abstract.</strong> Soil fertility and plant productivity are globally constrained by N availability. Proteins are the largest N reservoir in soils and the cleavage of proteins into small peptides and amino acids has been shown to be the rate limiting step in the terrestrial N cycle. However, we are still lacking a profound understanding of the environmental controls of this process. Here we show that integrated effects of climate and soil geochemistry drive protein cleavage across large scales. We measured gross protein depolymerization rates in mineral and organic soils sampled across a 4000-km-long European transect covering a wide range of climates, geologies and land uses. Based on structural equation models we identified that soil organic N cycling was strongly controlled by substrate availability, e.g. by soil protein content. Soil geochemistry was a secondary predictor, by controlling protein stabilization mechanisms and protein availability. Precipitation was identified as the main climatic control on protein depolymerization, by affecting soil weathering and soil organic matter accumulation. In contrast, land use was a poor predictor of protein depolymerization. Our results highlight the need to consider geology and precipitation effects on soil geochemistry when estimating and predicting soil N cycling at large scales.</p>
data for the submission in Marine Geology: Turbulence and Fine Sediment Dynamics in a Coastal Benthic Boundary Layer
<p>Data used for the plots and tables can be found in the submission in Marine Geology:Turbulence and Fine Sediment Dynamics in a Coastal Benthic Boundary Layer. The data are saved as matlab data file.</p>
Pore-scale characterization of residual gas remobilization in CO2 geological storage
<p>A decrease in reservoir pressure can lead to remobilization of residually trapped CO<sub>2</sub>. In this study, the pore-scale processes related to trapped CO<sub>2</sub> remobilization under pressure depletion were investigated with the use of high-resolution 3D X-ray microtomography. The distribution of CO<sub>2</sub> in the pore space of Bentheimer sandstone was measured after waterflooding at a fluid pressure of 10 MPa, and then at pressures of 8, 6 and 5 MPa. At each stage CO<sub>2</sub> was produced, implying that swelling of the gas phase and exsolution allowed the gas to reconnect and flow. After production, the gas reached a new position of equilibrium where it may be trapped again. At the end of the experiment, we imaged the sample again after 30 hours. Firstly, the results showed that an increase in saturation beyond the residual value was required to remobilize the gas, which is consistent with earlier field-scale results. Additionally, Ostwald ripening and continuing exsolution lead to a significant change in fluid saturation: transport of dissolved gas in the aqueous phase to equilibriate capillary pressure led to reconnection of the gas and its flow upwards under gravity. The implications for CO<sub>2</sub> storage are discussed: an increase in saturation beyond the residual value is required to mobilize the gas, but Ostwald ripening in turn can allow local reconnection of hitherto trapped gas, thus enhancing migration and may reduce the amount of CO<sub>2</sub> that can be capillary trapped in storage operations.</p>
Supplementary Data for Wueller et al. (2024): Geologic History of Deuteronilus Cavus in the Ismenius Lacus Region, Mars.
<p>Supplementary Data for Wueller et al. (2024): Geologic History of Deuteronilus Cavus in the Ismenius Lacus Region, Mars</p> <p>Data contains the georeferenced map plate of our geologic map that can be used in any geoinformation system (GIS).</p> <p><strong>If you use these data, please cite BOTH the Journal of Geophysical Research: Planets publication and the Zenodo dataset.</strong></p> <p>Wueller, L., Iqbal, W., Hiesinger, H., & Head III, J. W. (2024). Geologic History of Deuteronilus Cavus in the Ismenius Lacus Region, Mars. <em>Journal of Geophysical Research: Planets</em>, <em>129</em>(2), e2023JE008039. <a href="https://doi.org/10.1029/2023JE008039">https://doi.org/10.1029/2023JE008039</a></p> <p>Wueller, L., Iqbal, W., Hiesinger, H., & Head, J. (2023). Geologic History of Deuteronilus Cavus in the Ismenius Lacus Region, Mars. <em>Zenodo Dataset</em>. <a href="https://doi.org/10.5281/zenodo.8205276" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.8205276</a></p> <p>-----------------------------------------------------------------------------------------------------------------------------------------</p> <p>Mapping Scale is 1:200,000</p> <p>-----------------------------------------------------------------------------------------------------------------------------------------</p> <p>For further questions contact lwueller@uni-muenster.de</p> <p>Lukas Wueller, Institut für Planetologie, Universität Münster, Germany, January 2024</p>
Supplementary Material - PhD Thesis - "Unravelling the heat budget of the Lepontine dome: interdisciplinary geological, petrological, thermodynamic and geochronological study of shear zones"
<p>Supplementary material of the PhD thesis titled:<br> "<strong>Unravelling the heat budget of the Lepontine dome: interdisciplinary geological, petrological, thermodynamic and geochronological study of shear zones</strong>" by <em>Alessia Tagliaferri</em> (2023)</p> <p>Content: Excel table datasets, Matlab codes, figures, movies.</p> <p> </p>
Supplemental information data from: "Alkali Trace Elements Observed by MarSCoDe LIBS at Zhurong Landing Area on Mars: Quantitative Analysis and Its Geological Implications"
<p>This dataset includes the normalized peak areas of MarSCoDe scietific targets used in Table 3 of the corresponding article. The specific peaks are listed below.</p> <p>Data Set S1: Li 670.97 nm, Fe 260.04 nm, Al 309.37 nm, Ca 318.03 nm, Mg 518.15 nm, K 766.70 nm, and Na 818.55/819.70 nm.</p> <p>Data Set S2: Sr 421.67 nm, Fe 260.04 nm, Al 309.37 nm, Ca 318.03 nm, Mg 518.15 nm, K 766.70 nm, and Na 818.55/819.70 nm.</p> <p>Data Set S3: S 564 nm, Fe 260.04 nm, Al 309.37 nm, Ca 612.39 nm, Mg 448.24 nm, K 766.70 nm, and Na 589.16/589.76 nm.</p>
Figure 12 in How has our knowledge of dinosaur diversity through geologic time changed through research history?
Figure 12 Subsampled sauropodomorph diversity at (A) global and (B–F) regional levels (Europe, Africa, Asia, North America, and South America, respectively) based on our published knowledge in 1991 and 2015. Abbreviations as Fig. 4.
Figure 7 in How has our knowledge of dinosaur diversity through geologic time changed through research history?
Figure 7 Good's u estimates for ornithischians at (A) global and (B–F) regional levels (Europe, Africa, Asia, North America, and South America, respectively) based on our published knowledge in 1991 and 2015. Abbreviations as Fig. 4. Full-size DOI: 10.7717/peerj.4417/fig-7
Figure 10 in How has our knowledge of dinosaur diversity through geologic time changed through research history?
Figure 10 Good's u estimates for theropods at (A) global and (B–F) regional levels (Europe, Africa, Asia, North America, and South America, respectively) based on our published knowledge in 1991 and 2015. Abbreviations as Fig. 4. Full-size DOI: 10.7717/peerj.4417/fig-10
Figure 13 in How has our knowledge of dinosaur diversity through geologic time changed through research history?
Figure 13 Good's u estimates for sauropodomorphs at a (A) global and (B–F) regional levels (Europe, Africa, Asia, North America, and South America, respectively) based on our published knowledge in 1991 and 2015. Abbreviations as Fig. 4. Full-size DOI: 10.7717/peerj.4417/fig-13
Figure 6 in How has our knowledge of dinosaur diversity through geologic time changed through research history?
Figure 6 Subsampled ornithischian diversity at (A) global and (B–F) regional levels (Europe, Africa, Asia, North America, and South America, respectively) based on our published knowledge in 1991 and 2015. Abbreviations as Fig. 4. Full-size DOI: 10.7717/peerj.4417/fig-6
Figure 7 in How has our knowledge of dinosaur diversity through geologic time changed through research history?
Figure 7 Good's u estimates for ornithischians at (A) global and (B–F) regional levels (Europe, Africa, Asia, North America, and South America, respectively) based on our published knowledge in 1991 and 2015. Abbreviations as Fig. 4.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.
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.
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.
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.