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13,017 results for “Positionning”
FIG. 5 in Trophic position of some Late Devonian-Carboniferous (Mississippian) conodonts revealed on carbon organic matter isotope signatures: a case study of the East European basin
FIG. 5. — δ13Cdistribution along the facies profile plotted for dominating taxa (latest Famennian-middle Tournaisian; Kamenka River section org
FIG. 3 in Trophic position of some Late Devonian-Carboniferous (Mississippian) conodonts revealed on carbon organic matter isotope signatures: a case study of the East European basin
FIG. 3. — Distribution of δ13Cvalues among conodonts having different morphological types of P1 elements. Scale bar: 0.1 mm. org
FIG. 2 in Trophic position of some Late Devonian-Carboniferous (Mississippian) conodonts revealed on carbon organic matter isotope signatures: a case study of the East European basin
FIG. 2. — Lithology, biostratigraphy, and facies distribution of the Kamenka River section (Pechora Craton). Legend: 1, limestone; 2, clayey limestone; 3, clay; 4, cherty nodules; 5, flat lamination; 6, wavy lamination.
FIG. 1 in Trophic position of some Late Devonian-Carboniferous (Mississippian) conodonts revealed on carbon organic matter isotope signatures: a case study of the East European basin
FIG. 1. — Localization of the sites under consideration: A, Generalized map of Eastern Europe; rectangles mark the localities: 1, Pechora Craton; 2, Voronezh Anteclise (Kamenka Quarry and Russkiy Brod Quarry sections); 3, Ilmen Lake region (Chudovo section, Syas River section, Ilmen Lake borehole 8, Ilmen Lake section); 4, Chimbulat Quarry. B, Map of Pechora Craton; C, Scheme of outcrops' position in the Kozhva River basin.
Figs 28–30 in Comparative morphology of immature Trictenotoma formosana Kriesche, 1919 and systematic position of the Trictenotomidae (Coleoptera, Tenebrionoidea)
Figs 28–30. Pupa of Trictenotoma formosana Kriesche, 1919. 28. Dorsal view. 29. Lateral view. 30. Ventral view. Scale bar: 10 mm.
Figs 26–27 in Comparative morphology of immature Trictenotoma formosana Kriesche, 1919 and systematic position of the Trictenotomidae (Coleoptera, Tenebrionoidea)
Figs 26–27. Head of larva of Trictenotoma formosana Kriesche, 1919 in lateral view. 26. First-instar larva; arrows indicate the 5 stemmata. 27. Last-instar larva. Scale bars: 26 = 0.1 mm; 27 = 3 mm.
Figs 18–19 in Comparative morphology of immature Trictenotoma formosana Kriesche, 1919 and systematic position of the Trictenotomidae (Coleoptera, Tenebrionoidea)
Figs 18–19. Habitus of first-instar larva of Trictenotoma formosana Kriesche, 1919. 18. Dorsal view. 19. Ventral view. Scale bar: 0.5 mm.
Figs 1–2 in Comparative morphology of immature Trictenotoma formosana Kriesche, 1919 and systematic position of the Trictenotomidae (Coleoptera, Tenebrionoidea)
Figs 1–2. Habitus of last-instar larva of Trictenotoma formosana Kriesche, 1919. 1. Dorsal view. 2. Ventral view. Scale bar: 20 mm.
Figs 3–10 in Comparative morphology of immature Trictenotoma formosana Kriesche, 1919 and systematic position of the Trictenotomidae (Coleoptera, Tenebrionoidea)
Figs 3–10. Head and fore leg of last-instar larva of Trictenotoma formosana Kriesche, 1919. 3. Head, dorsal view. 4. Head, ventral view. 5. Right maxilla, ventral view. 6. Left antenna, dorsal view. 7–9. Mandibles (7 = ventral view, 8 = dorsal view, 9 = mesal view). 10. Left prothoracic leg. Scale bars: 3–4 = 3 mm; 5, 7–9 = 2 mm; 6, 10 = 1 mm.
Figs 22–23. Thorax and abdominal segments 4–5 in Comparative morphology of immature Trictenotoma formosana Kriesche, 1919 and systematic position of the Trictenotomidae (Coleoptera, Tenebrionoidea)
Figs 22–23. Thorax and abdominal segments 4–5 of first instar larva of Trictenotoma formosana Kriesche, 1919. 22. Dorsal view. 23. Ventral view. Scale bars: 0.2 mm.
Figs 24–25. Abdominal segments 8–9 in Comparative morphology of immature Trictenotoma formosana Kriesche, 1919 and systematic position of the Trictenotomidae (Coleoptera, Tenebrionoidea)
Figs 24–25. Abdominal segments 8–9 of first instar larva of Trictenotoma formosana Kriesche, 1919. 24. Dorsal view. 25. Ventral view. Scale bars: 0.1 mm.
Figs 11–17. Thorax and abdominal segments 5 and 9 in Comparative morphology of immature Trictenotoma formosana Kriesche, 1919 and systematic position of the Trictenotomidae (Coleoptera, Tenebrionoidea)
Figs 11–17. Thorax and abdominal segments 5 and 9 of last-instar larva of Trictenotoma formosana Kriesche, 1919. 11–12. Thorax (11 = dorsal view, 12 = ventral view). 13. Tergite 5. 14. Sternite 5. 15. Sternite 9. 16. Tergite 9. 17. Abdominal segment 9, posterior view. Scale bars: 3 mm.
Figs 35–36 in Comparative morphology of immature Trictenotoma formosana Kriesche, 1919 and systematic position of the Trictenotomidae (Coleoptera, Tenebrionoidea)
Figs 35–36. Extremely fine setae on abdominal segments of pupa of Trictenotoma formosana Kriesche, 1919. 35. Setae on tergites 4–5. 36. Setae on sternites 4–5. Scale bars: 3 mm.
Figs 20–21 in Comparative morphology of immature Trictenotoma formosana Kriesche, 1919 and systematic position of the Trictenotomidae (Coleoptera, Tenebrionoidea)
Figs 20–21. Head of first-instar larva of Trictenotoma formosana Kriesche, 1919. 20. Dorsal view. 21. Ventral view. Scale bars: 0.1 mm.
Figs 31–34. Abdominal segment 9 in Comparative morphology of immature Trictenotoma formosana Kriesche, 1919 and systematic position of the Trictenotomidae (Coleoptera, Tenebrionoidea)
Figs 31–34. Abdominal segment 9, spherical protrusions and spiracles of pupa of Trictenotoma formosana Kriesche, 1919. 31–33. Abdominal segment 9 (31 = dorsal view, 32 = lateral view, 33 = ventral view). 34. Spherical protrusions and spiracles on segments 4–6, lateral view. Abbreviations: sp = spiracle; lsp = lateral spherical protrusion; ssp = second spherical protrusion. Scale bars: 31–33 = 3 mm; 34 = 2 mm.
Binaural room impulse responses of a 5.0 surround setup for different listening positions
<p>Binaural Room Impulse Responses - KEMAR, room Calypso, TU Berlin, 5.0 Surround setup<br /> </p> <p>This dataset contains binaural room impulse responses (BRIRs) measured at nine<br /> different listening positions for a 5.0 surround setup in the listening room<br /> Calypso in the Telefunken building of Technische Universität Berlin, Berlin,<br /> Germany. The room has a volume of 83 m³ and a reverberation time RT60 of 0.17 s<br /> at a frequency of 1 kHz.</p> <p>"doc.zip" contains additional information for the measurement,<br /> "*.sofa" are the actual BRIRs, one file for every listening position, where the<br /> position is indicated by the X*-Y*-values.<br /> In order to work with those files you need a SOFA API for your programming<br /> language. For example, the one for Matlab can be found here:<br /> https://github.com/sofacoustics/API_MO/releases/latest<br /> If you want to create a single SOFA file containing all listening positions, you<br /> can execute the "combine_positions.m" script in Matlab after installing and<br /> starting the SOFA API.</p> <p>The BRIRs were with a head-orientation varying in the range of +-90° with 1°<br /> resolution. Room shape and size, listener and sound source positions are shown<br /> in "setup_calypso_surround_genelec8030A.pdf".</p> <p>Directory "./photos" contains photographs of the measurement setup.</p> <p>Copyright 2016 Hagen Wierstorf</p> <p>Licensed under Creative Commons (CC-BY-4.0)</p>
Robot Self-Assembly as Adaptive Growth Process: Collective Selection of Seed Position and Self-Organizing Tree-Structures
<p>Autonomous self-assembly allows to create structures and scaffolds on demand and automatically. The desired structure may be predetermined or alternatively it is the result of an artificial growth process that adapts to environmental features and to the intermediate structure itself. In a self-organizing and decentralized control approach the robots interact only locally and form the structure collectively. Designing a complete approach that allows the robot group to collectively decide on where to start the self-assembly, that adapts at runtime to environmental conditions, and that guarantees the structural stability is challenging and does not yet exist. We present an approach to self-assembly inspired by diffusion-limited aggregation that generates an adaptive structure reacting to environmental conditions in an artificial growth process. During a preparatory stage the robots collectively decide where to start the self-assembly also depending on environmental conditions. In the actual self-assembly stage, the robots create tree-like structures that grow towards light. We report the results of robot self-assembly experiments with 50 Kilobots. Our results demonstrate how an adaptive growth process can be implemented in robots. We explain how our approach will be extended to a 3-d growth process and how robot self-assembly as an open-ended adaptive growth process opens up a multiplicity of future opportunities.</p>
Binaural room impulse responses of a 5.0 surround setup for different listening positions
<p>This dataset contains binaural room impulse responses (BRIRs) measured at nine<br> different listening positions for a 5.0 surround setup in the listening room<br> Calypso in the Telefunken building of Technische Universität Berlin, Berlin,<br> Germany. The room has a volume of 83 m³ and a reverberation time RT60 of 0.17 s<br> at a frequency of 1 kHz. The measurment was done with Genelec 8030A loudspeakers<br> and repeated for the central listening positon with the larger Genelec 8250A<br> loudspeakers.</p> <p>"doc.zip" contains additional information for the measurement,<br> "*.sofa" are the actual BRIRs, one file for every listening position, where the<br> position is indicated by the X*-Y*-values. The file<br> `KEMAR_Calypso_Surround.sofa` contains all listening positions in one file.<br> In order to work with those files you need a SOFA API for your programming<br> language. For example, the one for Matlab can be found here:<br> https://github.com/sofacoustics/API_MO/releases/latest</p> <p>The BRIRs were with a head-orientation varying in the range of +-90° with 1°<br> resolution. Room shape and size, listener and sound source positions are shown<br> in `setup_calypso_surround_genelec8030A.pdf` and <br> `setup_calypso_surround_genelec8250A.pdf`.</p> <p>Directory "./photos" contains photographs of the measurement setup.</p> <p>Copyright 2016 Hagen Wierstorf</p> <p>Licensed under Creative Commons (CC-BY-4.0)<br> </p>
Binaural room impulse responses: Same listener-source-setup at different positions in the room
<p>To study the perception of room acoustics in dependency of the position in the room, measurements with KEMAR head-and-torso-simulator were conducted. The dummy head was placed at 5 different positions in a small conference room (10.3mx5.8mx3.1m, RT=0.65s). The source, a loudspeaker Genelec 1030A, was always positioned in the same relation to the listening position. BRIRs were measured with an azimuth-resolution of 5° from 0°-360°. This data allows a psychoacoustical comparison of the room acoustical properties at different positions in the room.</p>
Binaural room impulse responses: Same listener-source-setup at different positions in the room
<p>To study the perception of room acoustics in dependency of the position in the room, measurements with KEMAR head-and-torso-simulator were conducted. The dummy head was placed at 5 different positions in a small conference room (10.3mx5.8mx3.1m, RT=0.65s). The source, a loudspeaker Genelec 1030A, was always positioned in the same relation to the listening position. BRIRs were measured with an azimuth-resolution of 5° from 0°-360°. This data allows a psychoacoustical comparison of the room acoustical properties at different positions in the room.</p>
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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.