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Fig. 3 in Upper Cretaceous Foraminifera Murgeina Apula (Luperto Sinni, 1968): A Methusalem And Cenomanian-Turonian Boundary Survivor Taxon
Fig. 3 Lithological log of the Maymand section with distribution of larger benthic foraminifera (including Murgeina apula Luperto-Sinni) (after Schlagintweit & Yazdi-Moghadam, 2020). a Nezzazata gr. gyra-conica (Smout), b Nezzazata simplex Omara, c Murgeina apula (Luperto-Sinni), d Orbitolina gr. concava Orbigny, e Rajkanella hottingerinaformis Schlagintweit & Rigaud, f Biconcava bentori Hamaoui & Saint-Marc, g Praealveolina simplex Reichel, h Chrysalidina gradata Orbigny, i Cisalveolina fraasi (Gümbel), j Persiconus sarvaki Yazdi-Moghadam & Schlagintweit.
Fig. 2 a in Upper Cretaceous Foraminifera Murgeina Apula (Luperto Sinni, 1968): A Methusalem And Cenomanian-Turonian Boundary Survivor Taxon
Fig. 2 a Simplified geological map of Iran (modified after Schlagintweit & Yazdi-Moghadam, 2021) showing the main tectonic subdivisions. b-c Position of the studied sections. d Tectono-stratigraphic units of the Zagros belt (modified after Yazdi-Moghadam & Schlagintweit, 2021) with position of the Anneh section. Abbreviations: BF Balarud Fault, CEIM Central East Iran Microplate, HZF High Zagros Fault, KZF Kazerun Fault, MFF Mountain Front Fault, MZRF Main Zagros Revers Fault, MZT Main Zagros Thrust, SSZ Sanandaj-Sirjan Zone, UDMA Uromia Dokhtar Magmatic Arc, ZFTB Zagros Fold Thrust Belt.
Fig. 1 in Upper Cretaceous Foraminifera Murgeina Apula (Luperto Sinni, 1968): A Methusalem And Cenomanian-Turonian Boundary Survivor Taxon
Fig. 1 Nummofallotia cretacea (Schlumberger, 1900) from the Upper Cretaceous of Austria. a Equatorial section; Wegscheidgraben, Santonian Hochmoos Formation, Gosau Group (see Wagreich, 1988). b Slightly oblique axial section, same sample as a. Note the well-preserved light brownish porcelaneous wall. c Axial section showing test dissolution affecting the porcelaneous wall dissolution, while the radial fibrous umbo remains unaffected; Uppermost Maastrichtian Kambühel Limestone, Kambühel type-locality (see Tragelehn, 1996). Scale bars = 0.2 mm.
Fig. 7 in Upper Cretaceous Foraminifera Murgeina Apula (Luperto Sinni, 1968): A Methusalem And Cenomanian-Turonian Boundary Survivor Taxon
Fig. 7 Murgeina apula (Luperto Sinni) from the early-middle Campanian Pučišća Formation of the Island of Brač. a-b, f, h, j Axial sections. c-e, g Oblique sections. Note the presence of some kind of tooth plate in d (t. p.). i) Subaxial section.
Fig. 4 in Upper Cretaceous Foraminifera Murgeina Apula (Luperto Sinni, 1968): A Methusalem And Cenomanian-Turonian Boundary Survivor Taxon
Fig. 4 Lithostratigraphic column of the Upper Cretaceous strata of the Island of Brač, Croatia showing distribution of selected benthic foraminifera including Murgeina apula (Luperto Sinni).
Fig. 6 in Upper Cretaceous Foraminifera Murgeina Apula (Luperto Sinni, 1968): A Methusalem And Cenomanian-Turonian Boundary Survivor Taxon
Fig. 6 Murgeina apula (Luperto Sinni) from the Cenomanian Sarvak Formation of SW Iran. a-b, d, f-i, l, n, s, t Axial sections, partly slightly oblique. Note the double-layered septa in s. c, j, k, m, r, v. Oblique sections. e Slightly oblique subaxial section. q, s, u Equatorial sections. Note the double-layered septa in q. Abbreviations: fo = foramen, pr = proloculus, se = septum, t.pl. = tooth plate, um = umbo. Thin sections: DB 14550 (a), BF 86 (b-c), BF 37 (d, v), BF 56 (e, g), BF 70 (f), BF 48 (h), BF 33 (i-l, p, s), BF 82 (m), BF 40 (n), BF 37 (o, q, u), BF 46 (r), BF 56 (t).
Data for "Influence of variation in grain boundary parameters on the evolution of atomic structure and properties of [111] tilt grain boundaries in aluminum"
<p>This repository contains the raw data of experimental STEM images and of the simulations for the paper "Influence of variation in grain boundary parameters on the evolution of atomic structure and properties of [111] tilt boundaries in aluminum".</p>
Fig. 9 in Rugose corals across the Devonian-Carboniferous boundary in NW Turkey
Fig. 9. Palaeogeographic occurrences of uppermost Famennian (Strunian) rugose corals (modified after Chwieduk 2005, map after Golonka et al. 1994). 1, Omolon Massif (E Siberia); 2, Novaya Zemlya; 3, Istanbul Zone (NW Turkey); 4, Kraków, Holy Cross Mountains and Sudetes (S Poland); 5, PomeraniaRügen area (NW Poland and NE Germany); 6, German Kulm area (Thuringian and Rheinish massifs); 7, Namur-Dinant Basin (S Belgium, French Avesnois, German Aachen area); 8, Montagne Noire (S France); 9, Anti-Atlas (Morocco); 10, Xinzang (Tibet); 11, Transcaucasus (Armenia); 12, Hunan and Guizhou (S China); 13, Viet-Nam; 14, NW Australia; 15, New Mexico.
Fig. 6 in Rugose corals across the Devonian-Carboniferous boundary in NW Turkey
Fig. 6. Scatter diagram showing the number of septa plotted against corallite diameter for Campophyllum flexuosum (Goldfuss, 1826) and Campophyllum sp.
Fig. 4. Detailed lithological column around the D–C in Rugose corals across the Devonian-Carboniferous boundary in NW Turkey
Fig. 4. Detailed lithological column around the D–C boundary (DCB) in the Topluca section (unit ET-DC in Fig. 2). The stratigraphic distribution of some guide taxa is also indicated.
Fig. 8. Devonian–Carboniferous rugose corals from Turkey. A–E in Rugose corals across the Devonian-Carboniferous boundary in NW Turkey
Fig. 8. Devonian–Carboniferous rugose corals from Turkey. A–E. Caninophyllum charli sp. nov. from the lower Tournaisian (upper Hastarian) of Zonguldak, Gökgöl section. A. Holotype, G.8.1.1, successive TS (A1, A2); close-up view of the dissepimentarium, TS (A3). B. G.8.6.1, successive TS (B1, B2). C. G.8.4.3, TS. D. G.8.4.2, TS. E. G.8.3.2, LS. F, G. Uralinia simplex (Yü, 1933) from the lower Tournaisian (lower Hastarian) of Bartın, Topluca section. F. ET.9c.7, TS. G. ET.9c.8, TS. H. Amplexocarinia rozkowskae (Fedorowski, 2003) from the uppermost Famennian (Strunian) of Bartın, Dallıca section, D.2.4.II', TS. I.?Metriophyllum sp. from the uppermost Famennian (Strunian) of Bartın, Topluca section, ET.11.X, TS. J–L. Bounophyllum praecursor (Frech, 1895) form the uppermost Famennian (Strunian) of Bartın, Topluca section. J. ET.12a.1.III, successive TS (J1–J3). K. ET.12a.1.II, TS. L. ET.12a.1.V, LS. Scale bar A–G, 5 mm; H, 3 mm; I, 1.9 mm; J–L, 2.5 mm.
Fig. 2 in Rugose corals across the Devonian-Carboniferous boundary in NW Turkey
Fig. 2. Simplified lithological columns of the main sampled sections with the stratigraphic range of the rugose corals in the Yılanlı Formation and the position of samples with foraminifers (DFZ7, MFZ1, MFZ2, MFZ3 referring to the biostratigraphic zones of Poty et al. 2006). The position of the D–C boundary, based on foraminiferal assemblage, is indicated by the double arrow.
Fig. 1. A in Rugose corals across the Devonian-Carboniferous boundary in NW Turkey
Fig. 1. A. General structural map of Turkey (modified after Görür and Tüysüz 2001; Moix et al. 2008; Okay 2008). CCAC, Central Anatolian Crystalline Complex; EAAC, East Anatolian Accretionnary Complex (Sanadaj-Sirjan Block); Lycian Np., Lycian Nappes. B. Geological map of the IstanbulZonguldak Zone (modified after Okay et al. 2006) with the position of the Zonguldak and Bartın areas. C. Simplified geological map of the Zonguldak area (redrawn after Hoşgörmez 2007 and Charles 1933) with the location of the sampled sections (G, Gökgöl section). D. Simplified geological map of the Bartın area (redrawn after Tokay 1954) with the location of the sampled sections (T, Topluca section; D, Dallıca section; E, Esenpınar section).
Fig. 3 in Rugose corals across the Devonian-Carboniferous boundary in NW Turkey
Fig. 3. Uppermost Famennian (Strunian) facies in the Topluca section, Turkey. A. Lower stromatoporoid biostrome (unit ET12a in Fig. 2). B. Bioclastic facies of the unit ET11 crowded with large campophyllid solitary rugose corals in a packstone matrix.
Changes in core-mantle boundary heat flux patterns throughout the supercontinent cycle: Data
<p>This repository accompanies the paper</p> <p> </p> <p>```</p> <p>Dannberg, J., Gassmoeller, R., Thallner, D., LaCombe, F., Sprain, C.: Changes in core-mantle boundary heat flux patterns throughout the supercontinent cycle.</p> <p>```</p> <p> </p> <p>This repository contains instructions for how to obtain the boundary conditions from GPlates, ASPECT code, data and model setups, and scripts for converting the ASPECT model output to spherical harmonics so it can be used in geodynamic simulations. To reproduce the workflow follow the steps:</p> <p> </p> <p>- To create the velocity boundary conditions for the ASPECT models, download the plate reconstruction from 'Merdith, A.S., Williams, S.E., Collins, A.S., Tetley, M.G., Mulder, J.A., Blades, M.L., Young, A., Armistead, S.E., Cannon, J., Zahirovic, S. and Müller, R.D., 2021. Extending full-plate tectonic models into deep time: Linking the Neoproterozoic and the Phanerozoic. Earth-Science Reviews, 214, p.103477', which can be found here:</p> <p> </p> <p>https://doi.org/10.5281/zenodo.4485738</p> <p> </p> <p>To create the 'lat_lon_velocity' files, take the following steps in GPlates:</p> <p> </p> <p>1. Load all of the files from the Merdith et al, 2021 plate reconstruction into a Feature Collection which can be saved as a project (the project for our visualization is 'project.gproj').</p> <p>2. Establish the output grid (ours is lat_lon_velocity_domain_91_181): Features -> Generate Velocity Domain Points -> Latitude Longitude -> Number of latitudinal grid intervals=91, Number of longitudinal grid intervals=181, number of nodes=16652.</p> <p>3. To output the point velocities we used for the models: Reconstruction -> Export -> Add Export -> Velocities, GPML(*.gpml), velocity_%nMa</p> <p>- The data files we created following this workflow are part of this data publication and can be found in the `lat_lon_velocity` folder.</p> <p> </p> <p>- The global spherical convection models of the publication were created using two different ASPECT configurations:</p> <p> </p> <p>Models `thermal`, `thermochemical`, and `p-T-dependent` were run using:</p> <p> </p> <p>```</p> <p>-----------------------------------------------------------------------------</p> <p>-- This is ASPECT, the Advanced Solver for Problems in Earth's ConvecTion.</p> <p>-- . version 2.4.0-pre (limit_shear_heating, 4f45a72fe)</p> <p>-- . using deal.II 9.4.0-pre (3d869ba6cd1fd462624e09dc232e34ed17880701)</p> <p>-- . with 64 bit indices and vectorization level 2 (256 bits)</p> <p>-- . using Trilinos 12.18.1</p> <p>-- . using p4est 2.3.2</p> <p>-----------------------------------------------------------------------------</p> <p>```</p> <p> </p> <p>Models `strong basalt` and `weak ppv` were run using:</p> <p> </p> <p>```</p> <p>-----------------------------------------------------------------------------</p> <p>-- This is ASPECT, the Advanced Solver for Problems in Earth's ConvecTion.</p> <p>-- . version 2.5.0-pre (limit_shear_heating_and_ppv, a4812c95a)</p> <p>-- . using deal.II 9.4.2</p> <p>-- . with 64 bit indices and vectorization level 3 (512 bits)</p> <p>-- . using Trilinos 13.2.0</p> <p>-- . using p4est 2.3.2</p> <p>-----------------------------------------------------------------------------</p> <p>```</p> <p> </p> <p>- The two modified ASPECT versions are included in this data package. The repository including full</p> <p>version history is until further notice available as branch `limit_shear_heating` and branch `limit_shear_heating_and_ppv`</p> <p>in the repository `https://github.com/jdannberg/aspect.git`.</p> <p> </p> <p>- Running these models also requires plugins that are located in the `shared_libs` folder in this repository and that need to be compiled. Navigate into this directory and follow the steps:</p> <p> </p> <p>1. `cmake -D Aspect_DIR=PATH_TO_ASPECT` (replace `PATH_TO_ASPECT` with the directory where you compiled ASPECT).</p> <p>2. `make`</p> <p>- Now the models in this repository can be started. You should start them from the `input_files` directory so that all paths are set correctly and you can start them with the ASPECT executable in your build folder.</p> <p> </p> <p>- The files in `aspect_input_files` correspond to the models presented in the paper following the same naming scheme.</p> <p> </p> <p>- To convert the ASPECT heat flux output to spherical harmonics we used the script `analyze_heatflux_mpi_gmt.py` in `SPH_scripts`,</p> <p>which requires modification to point to the correct ASPECT statistics file and the correct output directory.</p> <p> </p> <p>- The final heat flux output is included in this data package in the `heat_flux` folder, which includes archives of the processed heat flux output in 1 Myr time intervals with 0 being the start of the model run and the highest timestep number representing the present day state.</p>
Philippine Sea plate and surrounding magmatism reveal the Antarctic-Zealandia, Pacific, and Indian mantle domain boundaries
<p>This file includes Supplementary data 1-5 and the Supplementary movie 1 for: Shengping Qian, Jeremy Tsung-Jui Wu, Jonny Wu. Philippine Sea plate and surrounding magmatism reveal the Antarctic-Zealandia, Pacific, and Indian mantle domain boundaries. submitted in 2023</p>
FIGURE 3 in Morphological and molecular species boundaries in the Hyalella species Flock of Lake Titicaca (Crustacea: Amphipoda)
FIGURE 3 Bayesian phylogeny and molecular species delimitation of South American Hyalella based on currently available cox1 mitochondrial data (present work and Barcode of Life DATA Systems (BOLD) repository project TTKK). Nodes with maximum nodal support are remarked with circles. Purple dots on branch tips indicate haplotypes exclusively sampled in South America outside the Altiplano area (see supplementary fig S1 for details). See main text for details on molecular species delimitation methods and results.
FIGURE 1 A in Morphological and molecular species boundaries in the Hyalella species Flock of Lake Titicaca (Crustacea: Amphipoda)
FIGURE 1 A, map of South America showing location of the Andean Altiplano; B, approximate area of the Altiplano showing placement of its main water bodies; C, sampling sites placed outside Lake Titicaca; D, sampling sites at Lake Titicaca itself. Numbers identify sampling stations. See supplementary tables S1 and S2 for precise information on sampling sites. Maps were produced using R ggmap (Kahle & Wickham, 2013) and Google Maps (Google Inc., Mountain View Downloaded, CA). from Brill.com 12/12/2023 03:08:26PM via Open Access. This is an open access article distributed under the terms of the CC BY 4.0 license. https://creativecommons.org/licenses/by/4.0/
FIGURE 2 in Morphological and molecular species boundaries in the Hyalella species Flock of Lake Titicaca (Crustacea: Amphipoda)
FIGURE 2 Morphological disparity within the Hyalella species-flock of Lake Titicaca. A, H. robusta; B, H. longipalma; C, H. montforti; D-E, H. crawfordi; F, H. neveulemairei; G-H, H. armata; I, H. knickerbockeri; J, Hyalella n. sp. 1; K, H. lucifugax. See key to species for descriptionDownloadedof precisefrom Brill armature.com 12/12 arrangement /2023 03:08:26PM on each species. [A-C, E: after via ChevreuxOpen (1907 Access);. D, This E: after is an Coleman open & accessGonzález article(2006); distributedG, H: after under the terms González & Coleman (2002); I: modified from Weckel (1910); K: modified from Faxonof(the 1876)] CC BY 4.0 license. https://creativecommons.org/licenses/by/4.0/
FIGURE 4 in Morphological and molecular species boundaries in the Hyalella species Flock of Lake Titicaca (Crustacea: Amphipoda)
FIGURE 4 Multidimensional scaling plot based on Kimura 2-parameters genetic distances of the 560 unique cox1 haplotypes detected in Hyalella. Dot colours refer to the main Hyalella lineages inferred in the molecular species delimitation analyses. Dots have been numbered according to their MOTU assignment.
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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.