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8,924 results for “formation”
Dataset related to aticle "Additive Fabrication of a Vascular 3D Phantom for Stereotactic Radiosurgery of Arteriovenous Malformations"The database contains 3D models in STL file format of a patient-specific brain arteriovenous malformation phantom reconstructed from computed tomography scans.
<p><em>The database contains 3D models in STL file format of a patient-specific brain arteriovenous malformation phantom reconstructed from computed tomography scans.</em></p>
Fig. 9 in The tornoceratid ammonoids from the Roteisenstein Formation of Dillenburg (Cephalopoda, Ammonoidea)
Fig. 9. Paucitornoceras paucistriatum (d'Archiac & de Verneuil, 1842); MB.C.30414 (Koch Coll.) from Oberscheld. Scale bar units = 1 mm.
Fig. 7 in The tornoceratid ammonoids from the Roteisenstein Formation of Dillenburg (Cephalopoda, Ammonoidea)
Fig. 7. Epitornoceras mithracoides (Frech, 1888), specimens from the Volpertseiche Mine near Oberscheld (both Koch Coll.). A. Lectotype (MB.C.469). B. Suture line of lectotype (MB.C.469); at dm = 43.5 mm; ww = 15.0 mm; wh = 25.5 mm. C. Paralectotype (MB.C.470). Scale bar units = 1 mm.
Fig. 8 in The tornoceratid ammonoids from the Roteisenstein Formation of Dillenburg (Cephalopoda, Ammonoidea)
Fig. 8. Lentitornoceras materni gen. et sp. nov., holotype (MB.C.30413; Lotz 1901–1902 Coll.) from Oberscheld. A. Ventral view, lateral view and dorsal projection. B. Suture line; at dm = 26.0 mm; ww = 6.4 mm; wh = 15.2 mm. C. Growth line course; at dm = 26.0 mm; ww = 6.4 mm; wh = 15.2 mm. Scale bar units = 1 mm.
Fig. 4 in The tornoceratid ammonoids from the Roteisenstein Formation of Dillenburg (Cephalopoda, Ammonoidea)
Fig. 4. Tornoceras typus (Sandberger & Sandberger, 1851), reproduction of the lectotype illustrations by Sandberger & Sandberger (1850–1856, pl. 10 fig. 14) and the photography by M.R. House in Becker (1993, pl. 3 figs 1–2). Scale bar units = 1 mm.
Fig. 5. Tornoceras frechi Wedekind, 1918. A in The tornoceratid ammonoids from the Roteisenstein Formation of Dillenburg (Cephalopoda, Ammonoidea)
Fig. 5. Tornoceras frechi Wedekind, 1918. A. Specimen MB.C.834 (Beyrich Coll.) from Sessacker near Oberscheld. B. Suture line of specimen MB.C.834 (Beyrich Coll.); at ww = 4.5 mm, wh = 5.5 mm. C. Specimen MB.C.30411 (Dannenberg Coll.) from Sessacker near Oberscheld.D. Specimen MB.C.4490 from Sessacker Oberscheld. Scale bar units = 1 mm.
Fig. 6 in The tornoceratid ammonoids from the Roteisenstein Formation of Dillenburg (Cephalopoda, Ammonoidea)
Fig. 6. Epitornoceras mithracoides (Frech, 1888), reproduction in original size of the illustration of the type material; paralectotype (MB.C.470) and lectotype (MB.C.469) by Frech (1888).
Fig. 2 in The tornoceratid ammonoids from the Roteisenstein Formation of Dillenburg (Cephalopoda, Ammonoidea)
Fig. 2. Givetian and Frasnian ammonoid stratigraphy (after Becker & House 2000), probable extent of the Red Ironstone of Dillenburg and probable position of the ammonoid species described here.
Migrating birds real flight V-formation spatial configuration.
<p>Bird real flight V-formation dataset: Arbitrary (pixel) coordinates of migrating birds, probably Geese, flying in V-formation. Photo is taken in an angle so their formation data is only a cross-section in 3-D perspective but with entire pack. However, despite this limitation this V-formation configuration provides a quantitative data for the understanding for the spatial properties, i.e., V-shape characteristics. There are 95 birds in total including the lead bird. Lower V-arm is denoted with tags dXX has 51 birds and upper V-arm is denoted by tags uXX has 43 birds. Lead bird has two entries d00 and u00 for consistency. Annotated image provides boxes and labels. The data is given under bird_arbitrary_coordinates as pixel location on the plane with tags. In coordinate annotation head of the bird is taken as a refrence point.</p>
Files and dataset for Jenkins & Keppens 2022: 3D prominence formation and evolution
<p>The MPI-AMRVAC files necessary to run the presented simulation from the start, including calculations necessary to output additional variables to the .dat file. Current setup is to save all additional variables - this is not recommended as it will exceed 60gb for a single file. It is recommended to only save one or two additional variables each time. Final snapshot for t = 668 is included - this is the snapshot presented and analysed within the manuscript. Analysis completed using yt-project package in Python; EUV and Hydrogen H-α visualisation routines are integrated into a modified frontend for this package but are immediately available on request: jack.jenkins@esa.int .</p>
Fig. 5 in Formation Factors Of Cytogenetic Violation Of Rutilus Rutilus (Cypriniformes, Cyprinidae) In Transformed River Ecosystems
Fig. 5. Distribution of revealed nucleus structural breaking down in R. rutilus individuals of different age: (1+) — one-year-old; (2+) — two-year-old; (3+) –three-year-old; (4+) — four-year-old.
Fig. 1 in Formation Factors Of Cytogenetic Violation Of Rutilus Rutilus (Cypriniformes, Cyprinidae) In Transformed River Ecosystems
Fig. 1. Possible versions of micronuclei and nuclear material in erythrocytes of peripheral fish blood: a — micronuclei of "standart" type; b — "attached"; c — "linked to the nucleus with chromatine thread"; d-I — nonformed nuclear material shaped as small sticks; d-II — non-formed nuclear material in the form of clews; e — rounded formations of nuclear material of big enough sizes.
Fig. 4 in Formation Factors Of Cytogenetic Violation Of Rutilus Rutilus (Cypriniformes, Cyprinidae) In Transformed River Ecosystems
Fig. 4. Distribution of revealed structural breaking down of nucleus in R. rutilus selections from representative alignments of transformed river hydrosystems in the north-western region of Ukraine.
Fig. 2 in Formation Factors Of Cytogenetic Violation Of Rutilus Rutilus (Cypriniformes, Cyprinidae) In Transformed River Ecosystems
Fig. 2. Frequency of nuclear violations of R. rutilus peripheral blood erythrocytes in representative alignments of river hydrosystems in the north-western region of Ukraine.
Fig. 1 in Formation Of Inter-Species Links In Ungulates In The Azov-Syvash National Nature Park
Fig. 1. Dynamics of quantity of the hoof-animals in the Azov-Syvash National Nature Park in the course of 1928–2018.
Dataset for Influence of Aerosol Chemical Composition on Condensation Sink Efficiency and New Particle Formation in Beijing
<p>This dataset includes one year long measurements of particle number size distributions, chemical composition of PM2.5, gaseous precursors, and meteorological parameters in urban Beijing, China, from March 1, 2018, to March 1, 2019. It is the supplementary data for "Influence of Aerosol Chemical Composition on Condensation Sink Efficiency and New Particle Formation in Beijing", which is published by Environmental Science & Technology Letter. Please cite: Wei Du, Jing Cai, Feixue Zheng, Chao Yan, Ying Zhou, Yishuo Guo, Biwu Chu, Lei Yao, Liine M. Heikkinen, Xiaolong Fan, Yonghong Wang, Runlong Cai, Simo Hakala, Tommy Chan, Jenni Kontkanen, Santeri Tuovinen, Tuukka Petäjä, Juha Kangasluoma, Federico Bianchi, Pauli Paasonen, Yele Sun, Veli-Matti Kerminen, Yongchun Liu, Kaspar R. Daellenbach, Lubna Dada, and Markku Kulmala Environmental Science & Technology Letters Article ASAP DOI: 10.1021/acs.estlett.2c00159</p>
Fig. 2 in Absorbing Hybridization Of Cobitis Taenia And Sabanejewia Aurata (Cypriniformes, Cobitidae) In Water Reservoirs Of Northern Ukraine Connected With Diploid-Polyploid Complex Formation
Fig. 2. Electrophoretic spectra of enzymes coding by allozymic loci: aspartate amynotransferase (1 — Aat- 1100/100, 2 — Aat-1100/110-110, 3 — Aat-195/110-110, 4 — Aat-1100-100/110, 5 — Aat-195-95/110, 6 — Aat-195-100/110), lactate dehydrogenase (1 — Ldh-B90/90, 2 — Ldh-B100/100, 3 — Ldh-B90/100-100, 4 — Ldh-B90/100/110), malate dehydrogenase (1 — Mdh-1A100/100, 2 — Mdh-1A100/110-110, 3 — Mdh-1A100-100/110).
Release and mineral formation of lead corrosion products with orthophosphate-polyphosphates
<p>Raw data from CSTR and batch experiments</p>
IODP Expedition 372A Formation temperature
<p>Formation temperature was measured by the advanced piston corer temperature tool (APCT-3), Sediment Temperature Tool (SET), or sediment temperature pressure tool (SETP) and reduced to in situ temperature and (for SETP) pressure estimates. These data are compiled per instrument run and assigned to a core (the core cut with the APCT-3 cutting shoe or the core following the SET deployment).</p>
IODP Expedition 374 Formation temperature
<p>Formation temperature was measured by the advanced piston corer temperature tool (APCT-3), Sediment Temperature Tool (SET), or sediment temperature pressure tool (SETP) and reduced to in situ temperature and (for SETP) pressure estimates. These data are compiled per instrument run and assigned to a core (the core cut with the APCT-3 cutting shoe or the core following the SET deployment).</p>
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.