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865 results for “beds”
Fig. 4 in New Late Cretaceous mammals from the Intertrappean beds of Rangapur, India and paleobiogeographic framework
Fig. 4. Deccanolestes cf. robustus. Right m1 or m2 (ITV/R/Mm−6) in occlusal (A, B), lingual (C), and labial (D) views. Scale bar 0.5 mm.
Fig. 2 in New Late Cretaceous mammals from the Intertrappean beds of Rangapur, India and paleobiogeographic framework
Fig. 2. Diagramatic sketch of the upper and lower molar measurements. Anteroposterior axes pass through the paracone and metacone for upper molars and through the metaconid and entoconid for lower molars. Abbreviations are as follows: for upper molars, AW, anterior width; PW, posterior width; PW1, posterior width sensu Butler (1990); PRW, protocone shelf width; MCL, postmetacrista length; BL, buccal length; PRL, protocone shelf length; PRH, protocone height; PAH, paracone height; MEH, metacone height; and for lower molars, L, length; TRW, trigonid width; TAW, talonid width; PHL, posthypocristid length; PEL, postentocristid length; PDH, protoconid height; MDH, metaconid height; AML, premetaconid length; TAL, talonid length; TAH, talonid height.
Fig. 7. Theria incertae sedis. A. Left p1 in New Late Cretaceous mammals from the Intertrappean beds of Rangapur, India and paleobiogeographic framework
Fig. 7. Theria incertae sedis. A. Left p1 or p2 (ITV/R/Mm−14) in labial view. B. Right p1 (ITV/R/Mm−17) in labial view. C. Right p3 or p4 (ITV/R/Mm−13) in lingual view. D. Right P3 (ITV/R/Mm−5) in labial (D1) and occlusal (D2, D3) views. Scale bar 0.5 mm.
Fig. 6. Sahnitherium rangapurensis. Right M1 in New Late Cretaceous mammals from the Intertrappean beds of Rangapur, India and paleobiogeographic framework
Fig. 6. Sahnitherium rangapurensis. Right M1 or M2 (ITV/R/Mm−1), holotype in occlusal (A, B), labial (C), anterior (D), and posterior (E) views. Scale bar 0.5 mm.
Fig. 5 in New Late Cretaceous mammals from the Intertrappean beds of Rangapur, India and paleobiogeographic framework
Fig. 5. Deccanolestes? sp. A. Left m1 or m2 (ITV/R/Mm−9) in occlusal (A1, A2), lingual (A3), and labial (A4) views. B. Right m1 or m2 (ITV/R/Mm−8) in occlusal (B1, B2), lingual (B3), and labial (B4) views. Hatched areas indicate breakage. Scale bar 0.5 mm.
Seismic modeling of bedload transport in a gravel-bed alluvial channel
<p>This repository publishes data for 4 flow events at the Arroyo de Los Pinos on the paper "Seismic modeling of bedload transport in a sandy gravel-bed alluvial channel".</p>
Fig. 1 in On the finding of ornithomimid dinosaurs (Saurischia, Ornithomimosauria) in the Upper Cretaceous beds of Tajikistan.
Fig. 1. Uzbekbaatar kizylkumensis. Dzharakuduk, Kyzylkum Desert, Uzbekistan; Bissekty Formation, Upper Cretaceous (Turonian). A. URBAC 98−11, left maxilla fragment with alveoli for P1–4, in occlusal (A1, stereopair), lateral (A2), and medial (A3) views. B. URBAC 03−175, right dentary fragment with alveoli for lower incisor, p3–4, m1–2, in occlusal (B1), labial (B2), and lingual (B3) views. C. URBAC 04−105, left p4, in labial (C1), lingual (C2), and occlusal (C3) views.
Fig. 11 in Bioerosion in shell beds from the Pliocene Roussillon Basin, France: Implications for the (macro)bioerosion ichnofacies model
Fig. 11. Bioerosion ichnoassemblages from several localities and ages that can be assigned to the Gnathichnus ichnofacies. Grey boxes indicate presence. Ichnotaxa abbreviations: Ca, Caulostrepsis; Ce, Centrichnus; Ci, Circolites; Ds, durophagous scars; En, Entobia; Fe, Feldmannia; Ga, Gastrochaenolites; Gn, Gnathichnus; Ir, Iranema; Le, Leptichnus; Ma, Maeandropolydora; Oi, Oichnus; Pi, Pinaceocladichnus; Po, Podichnus; Ra, Radulichnus; Re, Renichnus; Ro, Rogerella; Tr, Trypanites. Substrate abbreviations: sg., shellground; hg., hardground.
Fig. 9. Other trace fossils from Nefiach, Pliocene. A in Bioerosion in shell beds from the Pliocene Roussillon Basin, France: Implications for the (macro)bioerosion ichnofacies model
Fig. 9. Other trace fossils from Nefiach, Pliocene. A. Centrichnus cf. eccentricus beside an specimen of the foraminiferan tracemaker, Dyocibicides biserialis, still attached, JMC−UB/I−0103. B. Another specimen of C. cf. eccentricus, JMC−UB/I−0103. C. Pinaceocladichnus, a bryozoan boring, in a pectinid valve, JMC−UB/I−0107. D. Oichnus simplex on an oyster shell, JMC−UB/I−0108. E. Repaired scars produced by durophagous attacks in a pectivid valve, JMC−UB/I−0102.
Fig. 8. Sponge borings from Nefiach, Pliocene. A in Bioerosion in shell beds from the Pliocene Roussillon Basin, France: Implications for the (macro)bioerosion ichnofacies model
Fig. 8. Sponge borings from Nefiach, Pliocene. A. Oyster shell with Entobia, JMC−UB/I−0106. B. X−radiography of the same specimen displaying the structure of the sponge boring and revealing the presence of a Caulostrepsis taeniola. C. Detail of Entobia apertures in the same specimen.
Fig. 2 in Bioerosion in shell beds from the Pliocene Roussillon Basin, France: Implications for the (macro)bioerosion ichnofacies model
Fig. 2. Field appearance of the shell beds at Nefiach. A. View of the interval that includes several shell beds. B, C. Details of the shell beds showing the concordant attitude of the shells.
Fig. 5. Mollusc grazing traces Radulichnus inopinatus from Nefiach, Pliocene. A in Bioerosion in shell beds from the Pliocene Roussillon Basin, France: Implications for the (macro)bioerosion ichnofacies model
Fig. 5. Mollusc grazing traces Radulichnus inopinatus from Nefiach, Pliocene. A. Inner surface of a pectinid valve with areas covered by Radulichnus (A1) and detail of the specimen (A2), displaying the arrangement of scratches in groups, JMC−UB/I−0103. B. Oyster shell with dense patches of Radulichnus (B1) and sculpture resulting from pervasive, deep Radulichnus bioerosion (B2), JMC−UB/I−0098. Scale bars 1 mm.
Fig. 1. A in Bioerosion in shell beds from the Pliocene Roussillon Basin, France: Implications for the (macro)bioerosion ichnofacies model
Fig. 1. A. Geological map of the Roussillon Basin, modified from Clauzon et al. (1987). B. Stratigraphic section of the Pliocene at Nefiach.
Fig. 6 in Bioerosion in shell beds from the Pliocene Roussillon Basin, France: Implications for the (macro)bioerosion ichnofacies model
Fig. 6. Different morphologies of the modular unit of grazing traces produced by a species of polyplacophoran and several species of gastropods. Only those produced by polyplacophorans and patellogastropods (white boxes) are likely to be preserved as fossils, because other groups bear unmineralized radulae. Figures redrawn from Jüch and Boekschoten (1980; L. cinereus and L. littorea), Thompson et al. (1997; P. vulgata, C. zizyphinum, Gibbula sp., and L. obtusata), Forrest et al. (2001; C. tramoserica and B. nanum), and Reyes et al. (2001; T. atra, F. peruviana, and L. ceciliana). In all cases, the direction of movement of the tracemaker would be towards the top of the page.
Fig. 7. Polychaete borings from Nefiach, Pliocene. A in Bioerosion in shell beds from the Pliocene Roussillon Basin, France: Implications for the (macro)bioerosion ichnofacies model
Fig. 7. Polychaete borings from Nefiach, Pliocene. A. Single specimen of Caulostrepsis taeniola on an oyster valve, JMC−UB/I−0104. B. Oyster valve with numerous Caulostrepsis taeniola borings arranged following growth lines (B1) and detail of the borings (B2), JMC−UB/I−0105. C. Maeandropolydora sulcans in a pectinid shell, JMC−UB/I−0096. Scale bars 10 mm.
Data of "Effect of sample dimensions on the stiffness of PA12 Lattice materials fabricated using Powder Bed Fusion"
<div> </div> <div> <pre>Data related to the publication (we would be grateful if you could cite the paper in the case in which you are using the data) title = "Effect of sample dimensions on the stiffness of PA12 Lattice materials fabricated using Powder Bed Fusion", journal = "Additive Manufacturing", pages = " ", year = "2024", issn = "", doi = "https://doi.org/10.1016/j.addma.2024.104382", author = "L. Cobian, E. Maire, J. Adrien, U. Freitas, J.P. Fernandez-Blazquez, M.A. Monclus, J. Segurado"</pre> <p>This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 862015</p> </div>
Data for "Using physics-informed neural networks to predict the lifetime of laser powder bed fusion processed 316L stainless steel under multiaxial low-cycle fatigue loading"
<p>Title of dataset: Data for "Using physics-informed neural networks to predict the lifetime of laser powder bed fusion processed 316L stainless steel under multiaxial low-cycle fatigue loading".</p> <p>Name/institution/contact information: Dr. Michal Bartošák, Czech Technical University in Prague - Faculty of Mechanical Engineering, email: michal.bartosak@fs.cvut.cz.</p> <p>Date of data collection: The data were collected between 2021 and 2024.</p> <p>File name structure: The data consists of two files: "316L_fatigue_and_defects.xls," which contains fatigue lifetime data and defect characteristics, and an associated description file, "read_me.txt."</p> <p>See "https://doi.org/10.1016/j.ijfatigue.2024.108608" for the associated article and a detailed description of the methods.</p>
Data for the conference poster "TiAl6V4 bistable mechanism produced by Laser Powder Bed Fusion"
<p>The dataset contains raw data for conference poster "TiAl6V4 bistable mechanism produced by Laser Powder Bed Fusion" presented at the 9th Metal Additive Manufacturing Conference.</p>
Dataset for the research paper "Computational and experimental investigation of thermally auxetic multi-metal lattice structures produced by Laser Powder Bed Fusion"
<p>The aim of this study is to investigate the potential of tailoring the structural thermal expansion properties of a multi-metal re-entrant lattice structure made of 316L stainless steel and CuCr1Zr copper alloy. Several geometric configurations with different layout of parent materials were designed and tested for their ability to thermally expand at elevated temperature. The study showed that one of the geometric configurations with the chosen material layouts allows to exceed the expansion range that can be achieved by both parent materials. The prediction of the finite element analysis was thus confirmed by experimental measurements. In addition, the influence of manufacturing imperfections in the form of geometric deviations and non-optimal material deposition was also investigated, and the results showed that this has a significant influence on the overall expansion. In conclusion, it was found that it is possible to tailor multi-metal lattice structures to a specific expansion, but the disadvantages associated with manufacturing must first be eliminated.</p>
Linked collectors and determiners for: Descriptions of some vertebrate remains from the Fort Union beds of Montana.
Natural history specimen data linked to collectors and determiners held within, "Descriptions of some vertebrate remains from the Fort Union beds of Montana". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/87e60a32-5002-431d-b24e-2b0dd43b67fb">https://bionomia.net/dataset/87e60a32-5002-431d-b24e-2b0dd43b67fb</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/87e60a32-5002-431d-b24e-2b0dd43b67fb">https://gbif.org/dataset/87e60a32-5002-431d-b24e-2b0dd43b67fb</a>. Formatted as a Frictionless Data package.
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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.