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751 results for “geology”
Figure 2 in Cicada minimum age tree: Cryptic speciation and exponentially increasing base substitution rates in recent geologic time
Figure 2. Cicada timetree built by BEAST v1.X, applying 1,534 bp COI sequence. OUTs with isolate number: our own analyzed specimens shown in Table 1, and others: from GenBank/DDJB. In outgroup Hemiptera; #: analyzed family by Johnson et al. (2018); % analyzed family by Misof et al. (2014). Inserted figure: Base substitution rate (= rate median shown at each node; substitutions per site per million year; s/s/myr) vs age (= posterior age shown at each node) diagram. Red approximate curve with its formula was drawn by Excel function, with the intersection for the curve = 0.0128 s/s/myr, the rate median shown on Tracer.
Figure 4 in Cicada minimum age tree: Cryptic speciation and exponentially increasing base substitution rates in recent geologic time
Figure 4. Number of base changes of transition and tansversion vs corrected pairwide distance diagram for whole mitochondrial gene.
Figure 1 in Cicada minimum age tree: Cryptic speciation and exponentially increasing base substitution rates in recent geologic time
Figure 1. Simplified cicada timetree built by BEAST v1.X, applying a 1,534 bp in maximum COI sequence. Inserted figure: Base substitution rate (= ratemedian shown at each node; substitutions per siteper millionyear; s/s/ myr) vsage (= posterior age shown at each node) diagram. Red approximate curve with its formula was drawn by an Excel function, with the intersection for the curve = 0.0128 s/s/myr, the rate median shown on Tracer.
Figure 3 in Cicada minimum age tree: Cryptic speciation and exponentially increasing base substitution rates in recent geologic time
Figure 3. Cicada timetree built by BEAST v1.X, applying 1,534 bp COI and 874 bp 18S rRNA sequences. OUTswith isolate number: our own analyzed specimens shown in Table 1, and others: from GenBank/DDJB. In outgroup Hemiptera; #: analyzed family by Johnson et al. (2018); % analyzed family by Misof et al. (2014). Inserted figure: Base substitution rate (= rate median shown at each node; substitutions per site per million year; s/s/myr) vs age (= posterior age shown at each node) diagram. Red approximatecurve with its formulawas drawn by Excel function, with the intersection for the curve = 0.0114 s/s/myr, the rate median shown on Tracer. Note that this rate is a little slower than thatsolely of COI in Figures 1 and 2, reflecting slowerrate of 18S rRNAthan COI (see Osozawa et al. 2017a).
data from "Fractal properties of isolines at varying altitude revealing different dominant geological processes on Earth"
<p>The file contains the data used to produce Fig.4 for the paper "Fractal properties of isolines at varying altitude revealing</p><p>different dominant geological processes on Earth", by Andrea Baldassarri, Marco Montuori, Olga Prieto-Ballesteros,</p><p>and Susanna C. Manrubia, Journal of Geophysical Research: PlanetsVolume 113, Issue E9, https://doi.org/10.1029/2007JE003066</p>
Input geophysical and geological data for "Geologically constrained geometry inversion and null-space navigation to explore alternative geological scenarios: a case study in the Western Pyrenees"
<p>This is a companion dataset to the manuscript: <br><br>Geologically constrained geometry inversion and null-space navigation to explore alternative geological scenarios: a case study in the Western Pyrenees,</p><p>by: Jeremie Giraud , Mary Ford, Guillaume Caumon, Lachlan Grose, Vitaliy Ogarko, Roland Martin, and Paul Cupillard.<br><br>This dataset contains the input data used in the inversion, in terms of the gravity data and the geological data used in the inversion.<br><br>The *.txt file contains the gravity data as inverted in the manuscript: X, Y, Z, Value.<br>The *.csv file contains the geological data: location of the contacts and orientation data.</p>
coauth-MAG-Geology
<h3><strong>Overview</strong></h3><p>This is a temporal higher-order network dataset, which here means a sequence of timestamped hyperedges where each hyperedge is a set of nodes. In this dataset, nodes are authors, and a hyperedge is a publication marked with the "Geology" tag in the Microsoft Academic Graph. Timestamps are the year of publication. The dataset is restricted to hyperedges that contain at most 25 nodes.</p><h4><strong>Statistics</strong></h4><p>Some basic statistics of this dataset are:</p><ul><li>Number of nodes: 1,256,385</li><li>Number of timestamped hyperedges: 1,590,335</li><li>Number of unique hyperedges: 1,207,390</li></ul><h4><strong>Source of original data</strong></h4><p>Source: <a href="https://www.cs.cornell.edu/~arb/data/coauth-MAG-Geology/">coauth-MAG-Geology dataset</a></p><h4><strong>References</strong></h4><p>If you use this data, please cite the following papers:</p><ul><li><a href="https://doi.org/10.1073/pnas.1800683115">Simplicial closure and higher-order link prediction</a>. Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, and Jon Kleinberg. Proceedings of the National Academy of Sciences (PNAS), 2018.</li><li><a href="https://doi.org/10.1145/2740908.2742839">An overview of Microsoft Academic Service (MAS) and applications</a>. Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June Hsu, and Kuansan Wang. Proceedings of WWW, 2015.</li></ul>
FIGURE 1. Geological and biostratigraphical maps. A in Geometric morphometric assessment of Guanshan trilobites (Yunnan Province, China) reveals a limited diversity of palaeolenid taxa
FIGURE 1. Geological and biostratigraphical maps. A. The Shitangshan Section showing approximate stratigraphic distribution of Redlichia mansuyi and Redlichia mai (modified from Hu et al. 2010). B–D. Studied sections showing their approximate stratigraphic levels respectively in Wulongqing Formation. B. Huanglongqing Section. C. Longbaoshan Section. D. Xinglongcun Section. E. Map of Kunming showing the localities of studied sections. The red lines with arrows showing approximate sampling interbeds in each section.
Fig. 1. Geological and geographic context. A in New bioerosion traces in rhynchosaur bones from the Upper Triassic of Brazil and the oldest occurrence of the ichnogenera Osteocallis and Amphifaoichnus
Fig. 1. Geological and geographic context. A. Location of the Paraná Basin in Brazil. B. Limits of the Triassic rocks of Rosário do Sul Group and the Triassic rocks of Paraná Basin in Rio Grande do Sul state. C. Location of the Buriol Site, locality of UFRGS-PV-1581-T, and nearby Predebon and Janner sites. D. Chrono-, lito-, and biostratigraphy of southern Brazilian Triassic (modified from Schultz et al. 2020). Arrow indicates stratigraphical position of UFRGS-PV-1581-T; * refers to absolute ages from Langer et al. (2018); ** refers to absolute ages from Philipp et al. (2018).
Geological areas of interest for Geothermal District Heating utilization in Europe - GeoDH project
<p>The dataset includes four shapefiles showing the location data of geological areas of interest for Geothermal District Heating, including hot sedimentary aquifers and Neogene basins. The hot sedimentary aquifers layer represents areas where Neogene basin contours (sourced from the IGME Europe geological map at a scale of 1:5,000,000) overlap with regions where subsurface temperatures exceed 50°C at 1000m depth and/or 100°C at 2000m depth.<br><br>This dataset was developed for assessing the potential of Geothermal District Heating in Europe as part of the <strong>GeoDH project</strong> (<a href="http://geodh.eu/" target="_new" rel="noopener">http://geodh.eu/</a>). Please note that this represents the<strong> state of the art as of 2014</strong> and that geological, technological, and regulatory developments may have occurred since its creation, and users should verify if more recent data is available for their purposes.</p>
Improved Bathymetric Prediction using Geological Information: SYNBATH
<p>Manuscript in revision: <em>Earth and Space Science, </em>December 20, 2021</p> <p><em>Abstract</em></p> <p>To date, approximately 20% of the ocean floor has been surveyed by ships at a spatial resolution of 400 m or better. The remaining 80% has depth predicted from satellite altimeter-derived gravity measurements at a relatively low resolution. There are many remote ocean areas in the southern hemisphere that will not be completely mapped at 400 m resolution during this decade. This study is focused on the development of synthetic bathymetry to fill the gaps. There are two types of seafloor features that are not typically well resolved by satellite gravity: abyssal hills and small seamounts (< 2.5 km tall). We generate synthetic realizations of abyssal hills by combining the measured statistical properties of mapped abyssal hills with regional geology including fossil spreading rate/orientation, rms height from satellite gravity, and sediment thickness. With recent improvements in accuracy and resolution, It is now possible to detect all seamounts taller than about 800 m in satellite-derived gravity and their location can be determined to an accuracy of better than 1 km. However, the width of the gravity anomaly is much greater than the actual width of the seamount so the seamount predicted from gravity will underestimate the true seamount height and overestimate its base dimension. In this study we use the amplitude of the vertical gravity gradient (VGG) to estimate the mass of the seamount and then use their characteristic shape, based on well surveyed seamounts, to replace the smooth predicted seamount with a seamount having a more realistic shape. </p> <p>SYNBATH_V1.2 September 20, 2021</p> <p>This version of SYNBATH has abyssal hills as described below. Superimposed on that are 30,000 gaussian seamounts with sigma to height ratios of 2.4. The heights were determined by fitting a uncompensated model VGG for a seamount of a particular height to the observed VGG in a 33 by 33 km area using a density of 2800 kg m^-3. Any seamount taller than 2600 m or less than 700 m was not used.</p> <p>SYNBATH_V1.1 July 6, 2021</p> <p>A refined version of the SYNBAPS with better blending</p> <p>SYNBATH_V1.0 July 1, 2021</p> <p>This is the first version of SYNthetic BATHymetry (SYNBATH) that is a merge of the latest SRTM15 global bathymetry/topography grid and synthetic abyssal hill fabric based on an anisotropic power spectral model published by Goff and others [2010, 2020]. The synthetic abyssal fabric fills the voids in the real bathymetry coverage that used to be filled by predicted depth.</p> <p>These are global grids with 86400 columns and 43200 rows in NETCDF format.</p> <p>Seamount Heights used in SYNBATH_V1.2 December 15, 2021</p> <p>This directory contains the locations and heights of the seamounts in the combined New and Kim Wessel (KW) catalogues. There are three categories of seamounts.</p> <p>1) good.nxybh - contains 34295 with heights successfully modeled using the VGG as described in the Sandwell 2022 publication. The file has 5 columns:</p> <p>name longitude latitude base_depth height_VGG<br> KW-00001 0.191666666667 -6.44166666667 -4060.15673828 2600<br> KW-00002 -0.425 -6.84166666667 -4125.54345703 2600<br> KW-00003 -0.075 -6.875 -4221.48730469 2600<br> .<br> .<br> .</p> <p><br> 2) uncharted.nxybh - contains 19732 seamounts that are more than 3 km from a depth sounding. The file has 5 columns:</p> <p>name longitude latitude base_depth height_VGG<br> New-00001 3.60833333333 2.74166666667 -3990.33374023 2000<br> New-00002 3.375 2.59166666667 -4113.46435547 1500<br> New-00003 3.19166666667 2.475 -4209.29638672 1200<br> .<br> .<br> .</p> <p>3) well_charted.nxybh - contains 739 seamounts that are well charted by more than 50% sounding coverage over the seamount and good coverage at the summit so the summit depth is known. The file has 6 columns:</p> <p>name longitude latitude base_depth height_VGG summit_depth<br> New-00707 -8.525 71.4916666667 -2094.12524414 1000 -1044.107788<br> New-00786 -4.775 70.0083333333 -2978.39868164 1200 -2427.73095683<br> New-00808 -4.375 66.2583333333 -3378.35644531 1100 -2656.7897947<br> .<br> .<br> .</p> <p>In addition, there are three matching kmz-files so the locations of the seamounts can be viewed in Google Earth.<br> good.kmz - yellow dots<br> uncharted.kmz - red dots<br> well_charted.kmz - green dots</p> <p> </p> <p> </p>
Model data repository of "Styles of Trench-parallel Mid-ocean Ridge Subduction Affect Cenozoic Geological Evolution in circum-Pacific Continental Margins"
<p>This dataset contains the data used in Wu et al. (2022): "Styles of Trench-parallel Mid-ocean Ridge Subduction Affect Cenozoic Geological Evolution in circum-Pacific Continental Margins".</p>
The Surface Biology and Geology Architecture Study Science and Applications Traceability Matrix (SATM)
<p>This dataset provides a synthesis of the National Academies of Sciences 2017 Earth Science Decadal Survey mission most and very important objectives for the Surface Biology and Geology Earth Observing system consisting of a global visible to shortwave infrared imaging spectrometer and a multi-spectral thermal infrared radiometer. These objectives are traced to performance criteria used for assessing hundreds of potential architecture variants in an architecture study outlined in a paper titled: "Designing an Observing System to Study the Surface Biology and Geology (SBG) of the Earth in the 2020s".</p>
Geological Map of the Derain (H10) Quadrangle of Mercury (3 crater class version)
<p>Geological (morphostratigraphic) map recognising 3 crater degradation classes. We also have a 5 crater class version that is otherwise identical. This version is slightly revised after review for publication in J Maps (3 Aug 2022).</p>
Geological Map of the Derain (H10) Quadrangle of Mercury (5 crater class version)
<p>Geological (morphostratigraphic) map recognising 5 crater degradation classes. We also have a 3 crater class version, that is otherwise identical. This version is slightly revised after review for publication in J Maps 3 Aug 2022.</p>
Text-fig. 1. Location of the study site. a: the location of Lühe Town, Yunnan, SW China; b: fossil bearing section, white arrow indicates the fossil collection stratum; c: geological map of fossil site. in Fraxinus L. (Oleaceae) Fruits From The Early Oligocene Of Southwest China And Their Biogeographic Implications
Text-fig. 1. Location of the study site. a: the location of Lühe Town, Yunnan, SW China; b: fossil bearing section, white arrow indicates the fossil collection stratum; c: geological map of fossil site.
Text-fig. 1. a: Idealised section of the Intra-Sudetic Basin (from Opluštil et al. 2016); b: Geological sketch map of the IntraSudetic Basin, here simplified (after Prouza and Tásler 2001, Pešek 2004). Explanations: 1 – Bohdašín Formation (Triassic), 2 – Bohuslavice Formation (Thuringian), 3 – Trutnov Formation (Saxonian), 4–13 Broumov Formation (Autunian): 4 – Martínkovice Member, 5 – Martínkovice Member with Jetřichovice, Hejtmánkovice and Vižňov horizons, 6–13 – Olivětín Member: 6 – Walchia bone coal facies, 7 – Basaltoides of the Šonov Group, 8 – Volcanoclastic facies, 9 – Aleuropelites, 10 – Ignimbrites, 11 – Rhyolite tuffs, 12 – Ruprechtice Limestone Horizon, 13 – Otovice Limestone Horizon. Localities: O1 – Otovice "Černý potok", O2 – Otovice "Stěnava", O3 – Otovice "Chmelnice", O4 – Otovice "Vápenka", R1 – Ruprechtice "Vápencové lomy", R2 – Ruprechtice "Pod Světlinou", R3 – Olivětín "Nad náhonem". in Actinopterygians Of The Broumov Formation (Permian) In The Czech Part Of The Intra-Sudetic Basin (The Czech Republic)
Text-fig. 1. a: Idealised section of the Intra-Sudetic Basin (from Opluštil et al. 2016); b: Geological sketch map of the IntraSudetic Basin, here simplified (after Prouza and Tásler 2001, Pešek 2004). Explanations: 1 – Bohdašín Formation (Triassic), 2 – Bohuslavice Formation (Thuringian), 3 – Trutnov Formation (Saxonian), 4–13 Broumov Formation (Autunian): 4 – Martínkovice Member, 5 – Martínkovice Member with Jetřichovice, Hejtmánkovice and Vižňov horizons, 6–13 – Olivětín Member: 6 – Walchia bone coal facies, 7 – Basaltoides of the Šonov Group, 8 – Volcanoclastic facies, 9 – Aleuropelites, 10 – Ignimbrites, 11 – Rhyolite tuffs, 12 – Ruprechtice Limestone Horizon, 13 – Otovice Limestone Horizon. Localities: O1 – Otovice "Černý potok", O2 – Otovice "Stěnava", O3 – Otovice "Chmelnice", O4 – Otovice "Vápenka", R1 – Ruprechtice "Vápencové lomy", R2 – Ruprechtice "Pod Světlinou", R3 – Olivětín "Nad náhonem".
Text-fig. 7. Vertical polished sections of samples from selected layers. a: Layer No. 2, completely bioturbated, collection of the Czech Geological Survey (abbr. BK), BK 7; b: Layer No. 3, low: nearly completely bioturbated, upper: cross- to ripple bedding, weakly bioturbated, BK 6; c: Layer No. 7, incompletely bioturbated siltstone/mudstone, BK 5; d: Layer No. 8, low: totally bioturbated background with Zoophycos ichnofabric, upper: spotted, completely bioturbated siltstone, BK 4; e: Layer No. 8, low: in Early Complex Tiering Pattern: Upper Ordovician, Barrandian Area, The Czech Republic
Text-fig. 7. Vertical polished sections of samples from selected layers. a: Layer No. 2, completely bioturbated, collection of the Czech Geological Survey (abbr. BK), BK 7; b: Layer No. 3, low: nearly completely bioturbated, upper: cross- to ripple bedding, weakly bioturbated, BK 6; c: Layer No. 7, incompletely bioturbated siltstone/mudstone, BK 5; d: Layer No. 8, low: totally bioturbated background with Zoophycos ichnofabric, upper: spotted, completely bioturbated siltstone, BK 4; e: Layer No. 8, low:
Text-fig. 3. Geology of the Cheringoma Plateau, Mozambique. Sections and geological map adapted from Tinley (1977). The star symbols close to Mhengere Hill represent fossil wood and stem sites. Note that the fault relationships proposed in the northernmost Inhaminga section require re-examination. The Nguere Hills were called Gadjiua by Tinley (1977). in Stratigraphy, Chronology And Palaeontology Of The Tertiary Rocks Of The Cheringoma Plateau, Mozambique
Text-fig. 3. Geology of the Cheringoma Plateau, Mozambique. Sections and geological map adapted from Tinley (1977). The star symbols close to Mhengere Hill represent fossil wood and stem sites. Note that the fault relationships proposed in the northernmost Inhaminga section require re-examination. The Nguere Hills were called Gadjiua by Tinley (1977).
Text-fig. 1. a: Simplified geological map of the Permo-Carboniferous Brive Basin (after Feys 1989) with marked localities L 1 (Brive, road D1089), L 2 (Lanteuil). b: Profile of the Brive Basin (modified from Feys 1989). c: Profile recorded by Guy and Maryse Chantepie in 2007 on the type locality Brive, road D1089. in New Actinopterygians From The Permian Of The Brive Basin, And The Ichthyofaunas Of The French Massif Central
Text-fig. 1. a: Simplified geological map of the Permo-Carboniferous Brive Basin (after Feys 1989) with marked localities L 1 (Brive, road D1089), L 2 (Lanteuil). b: Profile of the Brive Basin (modified from Feys 1989). c: Profile recorded by Guy and Maryse Chantepie in 2007 on the type locality Brive, road D1089.
ScienceDex guides
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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.