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12,393 results for “Materiality”
Fig. 3 in Redescriptions of Five Species of Japanese Dendronephthya (Octocorallia: Alcyonacea) Based on Type Material Collected by Döderlein in 1879-81
Fig. 3. Dendronephthya doederleini Külenthal, 1905, NMBE-295-1. A, Spindles from surface layer of branches; B, detail of upper part of such a spindle; C, rod from surface layer of branches; D, flat radiates from interior of branches; E, rods from interior of branches. Scales: 1 mm (A); 0.10 mm (B–E).
Fig. 7 in Redescriptions of Five Species of Japanese Dendronephthya (Octocorallia: Alcyonacea) Based on Type Material Collected by Döderlein in 1879-81
Fig. 7. Dendronephthya punicea (Studer, 1888), NMBE-303-1. A, Spindles from surface layer of branches; B, detail of upper part of such a spindle; C, rod from surface layer of branches; D, detail of lower part of such a rod; E, sclerites from interior of branches; F, sclerites from surface layer of stalk, G, sclerites from interior of stalk, H, detail of sclerite in F; I, caterpillar-like sclerites from interior of stalk. Scales: 0.50 mm (A, C, F); 0.10 mm (E, G, I); 0.05 mm (B, D).
Fig. 6 in Redescriptions of Five Species of Japanese Dendronephthya (Octocorallia: Alcyonacea) Based on Type Material Collected by Döderlein in 1879-81
Fig. 6. Dendronephthya punicea (Studer, 1888), NMBE-303-1. A, B, Polyps showing anthocodial armature; C, detail of uppermost part of a supporting bundle spindle; D, tentacle sclerites; E, point spindles; F, detail of upper part of a point spindle; G, detail of middle part of a point spindle; H, intermediate spindle; I, crown spindle. Scales: 0.10 mm.
Fig. 2 in Redescriptions of Five Species of Japanese Dendronephthya (Octocorallia: Alcyonacea) Based on Type Material Collected by Döderlein in 1879-81
Fig. 2. Dendronephthya doederleini Külenthal, 1905, NMBE-295-1. A, B, Polyp showing anthocodial armature; C, detail of uppermost part of a supporting bundle spindle; D, tentacle sclerites; E, point spindles; F, detail of uppermost part of a point spindle; G, detail of middle part of a point spindle. Scales: 0.10 mm.
Fig. 8 in Redescriptions of Five Species of Japanese Dendronephthya (Octocorallia: Alcyonacea) Based on Type Material Collected by Döderlein in 1879-81
Fig. 8. Dendronephthya flabellifera (Studer, 1888), NMBE-299. A, B, Polyps showing anthocodial armature; C, tentacle sclerites; D, tentacle rachis sclerites; E, point spindles, F, detail of uppermost part of a supporting bundle spindle; G, detail of uppermost part of a point spindle; H, detail of lowest part of a point spindle. Scales: 0.10 mm.
Fig. 5 in Redescriptions of Five Species of Japanese Dendronephthya (Octocorallia: Alcyonacea) Based on Type Material Collected by Döderlein in 1879-81
Fig. 5. Dendronephthya sp., NMBE-295-2. A, B, Polyps showing anthocodial armature; C, tentacle sclerites; D, point spindles; E, F, details of upper parts of point spindles; G, detail of uppermost part of a supporting bundle spindle. Scales: 0.10 mm.
Fig. 14 in Redescriptions of Five Species of Japanese Dendronephthya (Octocorallia: Alcyonacea) Based on Type Material Collected by Döderlein in 1879-81
Fig. 14. Dendronephthya pumilio (Studer, 1888), NMBE-310. A, B, Polyp showing anthocodial armature; C, tentacle sclerites; D, point spindles; E, detail of upper part of a point spindle; F, detail of lower part of a point spindle; G, supporting bundle spindle; H, detail of upper part of a supporting bundle spindle; I, detail of lower part of a supporting bundle spindle. Scales: 0.10 mm.
Fig. 1 in Redescriptions of Five Species of Japanese Dendronephthya (Octocorallia: Alcyonacea) Based on Type Material Collected by Döderlein in 1879-81
Fig. 1. Diagram of anthocodial armature of Dendronephthya. Abbreviations: Cr, crown sclerites; M, intermediate sclerites; p, point sclerites; P, dominant uppermost sclerites; S.B., supporting bundle; SS, supplementary sclerites; t, tentacle sclerites.
Fig. 19 in Redescriptions of Five Species of Japanese Dendronephthya (Octocorallia: Alcyonacea) Based on Type Material Collected by Döderlein in 1879-81
Fig. 19. Dendronephthya rigida (Studer, 1888), NMBE-308. A, Spindles from surface layer of branches; B, detail of upper part of such a spindle; C, detail of lowermost part of such a spindle; D, flattened rods from interior of branches; E, flattened radiates from interior of branches. Scales: 1.0 mm (A); 0.10 mm (B–E).
Fig. 13 in Redescriptions of Five Species of Japanese Dendronephthya (Octocorallia: Alcyonacea) Based on Type Material Collected by Döderlein in 1879-81
Fig. 13. Polyps from colonies previously, and evidently mistakenly, assigned to Dendronephthya flabellifera. A, B, Tixier-Durivault and Prevorsek's (1962) supposed Dendronephthya flabellifera, (ZMUC) showing anthocodial armature; C, point spindle of A; D, E, Utinomi's (1954) supposed D. flabellifera, (SMBL-267), showing anthocodial armature; F, Utinomi's (1954) supposed D. flabellifera, (SMBL-266), showing anthocodial armature. Scales: 0.10 mm.
Fig. 23 in Redescriptions of Five Species of Japanese Dendronephthya (Octocorallia: Alcyonacea) Based on Type Material Collected by Döderlein in 1879-81
Fig. 23. Scanning electron micrographs of uppermost point spindles. A, Dendronephthya doederleini Kükenthal, 1905 (NMBE295); B, D. punicea (Studer, 1888) (NMBE303-1); C, D. flabellifera (Studer, 1888) (NMBE299); D, D. pumilio (Studer, 1888) (NMBE310-1); E, D. rigida (Studer, 1888) (NMBE308). Scale: 0.5 mm.
Fig. 24 in Redescriptions of Five Species of Japanese Dendronephthya (Octocorallia: Alcyonacea) Based on Type Material Collected by Döderlein in 1879-81
Fig. 24. Color photographs of the specimens examined. A, MNBE-295-1, Dendronephthya doederleini Kükenthal, 1905; B, MNBE-295-2, Dendronephthya sp., preserved in the same jar as above specimen, probably undescribed species; C, NMBE-303-1, D. punicea (Studer, 1888); D, NMBE-303-2, D. punicea (Studer, 1888); E, ZMA-2473, D. punicea sensu Thomson and Dean (1931); F, MNBE-299, D. flabellifera (Studer, 1888); G, ZMUC, D. flabellifera sensu Tixier-Durivault and Prevorsek (1962); H, SMBL-266, D. flabellifera sensu Utinomi (1954); I, MNBE- 310-1, D. pumilio (Studer, 1888); J, MNBE-310-2, D. pumilio (Studer, 1888); K, Kükenthal's (1905) picture of D. pumilio (Studer, 1888); L, MNBE-310-3, D. pumilio (Studer, 1888).
Fig. 22 in Redescriptions of Five Species of Japanese Dendronephthya (Octocorallia: Alcyonacea) Based on Type Material Collected by Döderlein in 1879-81
Fig. 22. Polyps from colonies previously, and evidently mistakenly, assigned to Dendronephthya rigida (Studer, 1888) or D. splendens Kükenthal, 1895, showing their anthocodial armature. A, Tixier-Durivault and Prevorsek's (1960) supposed D. rigida (ZMUC), showing anthocodial armature; B, Kükenthal's (1896) supposed D. rigida (ZSM), showing anthocodial armature; C, Nutting's (1912) supposed D. splendens (USNM 30113), showing anthocodial armature. Scale: 0.1 mm.
Fig. 18 in Redescriptions of Five Species of Japanese Dendronephthya (Octocorallia: Alcyonacea) Based on Type Material Collected by Döderlein in 1879-81
Fig. 18. Dendronephthya rigida (Studer, 1888), NMBE-308. A, B, Polyps showing anthocodial armature; C, tentacle sclerites; D, point spindles, E, intermediate spindles; F, detail of uppermost part of a point spindle, G, uppermost part of a supporting bundle spindle. Scales: 0.10 mm.
Supplementary material for the paper "Detection and Characterization of Multiple Discontinuities in Cables with Time Domain Reflectometry and Convolutional Neural Networks"
<p>This archive contains supplementary material for the paper "Detection and Characterization of Multiple Discontinuities in Cables with Time Domain Reflectometry and Convolutional Neural Networks".</p> <p>In particular, the following data is provided:</p> <ul> <li>dataset of labeled simulated TDR signals (1 million samples)</li> <li>dataset of labeled experimental signals (16 samples)</li> <li>trained convolutional neural network model</li> </ul>
Fig. 5. Baetis flaveola F.-J. Pictet, 1843 in Mayfly types and additional material (Insecta: Ephemeroptera) examined by F.-J. Pictet and A.-E. Pictet, housed in the Museums of Natural History of Geneva and Vienna
Fig. 5. Baetis flaveola F.-J. Pictet, 1843 nom. dub. (A) Syntype [?]. (B) Labels of syntype [?] 1. Scale bar: 5 mm. (C) Syntype [?] 2. Scale bar: 5 mm. (D) Labels of syntype [?] 2. Scale bar: 5 mm.
Fig. 1 in Mayfly types and additional material (Insecta: Ephemeroptera) examined by F.-J. Pictet and A.-E. Pictet, housed in the Museums of Natural History of Geneva and Vienna
Fig. 1. François-Jules Pictet de la Rive (1809-1872) in his library. Oil painting, without date or signature; attributed to a Mr Kaiser (according to an inscription on the back of the painting). Courtesy of the Fondation des Archives de la Famille Pictet, Geneva.
Kerr reversal in Josephson meta-material and traveling wave parametric amplification datasets
<p>This repository contains raw data for results presented in article "Kerr reversal in Josephson meta-material and traveling wave parametric amplification" (Preprint : arXiv:2101.05815). All data is stored in numpy(numpy.org) array format.</p> <p><strong>Please site any usage to original publication.</strong></p> <p><br> # Gain data</p> <p> The data used for generating Fig. 3(a) of main text:<br> <br> - Gain_6_freq contains frequency axis, gain_6 contains corresponding gain data when the device is pumped at 6 GHz<br> <br> - Gain_8_freq contains frequency axis, gain_8 contains corresponding gain data when the device is pumped at 8 GHz<br> <br> - Gain_10_freq contains frequency axis, gain_10 contains corresponding gain data when the device is pumped at 10 GHz</p> <p><br> # Saturation data</p> <p> The data used for generating Fig. 3(d) of main text:</p> <p> - saturation_6_pow contains input signal power at 6.05 GHz and saturation_6_gain contains gain as a function of the same when device is pumped at 8 GHz.</p> <p> - saturation_9.5_pow contains input signal power at 9.5 GHz and saturation_9.5_gain contains gain as a function of the same when device is pumped at 8 GHz.</p> <p><br> # Noise data</p> <p> The raw data used for fitting noise performance of the TWPA as depicted in Fig. 4 of main text:</p> <p> - noise_without_TWPA_temperature : contains noise temperature of the amplification chain without TWPA, in<br> Kelvin.<br> - noise_without_TWPA_sys_gain_dB : contains gain of the amplification chain without TWPA, in dB.</p> <p> - noise_freq : contains frequency axis for the measured PSD.</p> <p> - noise_thermal_source_temperature : contains temperature data of the thermal noise source.</p> <p> - noise_with_TWPA_PSD_vs_thermal_source_temperature : contains PSD measured with 200 MHz RBW as a function<br> of frequency and temperature of thermal noise source.</p> <p><br> # Transmission data</p> <p> Normalized transmission through the device.</p> <p> - transmission_flux : contains quantized flux axis for the measured transmission.</p> <p> - transmission_freq : contains frequency axis for the measured transmission.</p> <p> - transmission : contains transmission as a function of frequency and quantized flux, in dB.</p> <p><br> # Dispersion data</p> <p> Dispersion through the device.</p> <p> - dispersion_freq : contains frequency axis for the measured dispersion.</p> <p> - dispersion_phase_PCB : contains phase accumulation when RF switch is in PCB position as a function of<br> frequency, in radians.<br> - dispersion_flux_mA : contains flux axis for the measured dispersion, in mA.</p> <p> - dispersion_phase_device : contains phase accumulation when RF switch is in device position as a function<br> of frequency and flux, in radians.</p>
Supplementary materials for the paper "Hyperstyle : A Tool for Assessing the Code Quality of Solutions to Programming Assignments"
<p>The set of the artefacts for a SIGCSE-2022 paper. The SIGCSE_atrifacts.pdf document contains detailed information about each folder, also this document has supplementary materials.</p> <p>Folders:<br> - comparison. This folder contains a public dataset in Java for comparison of our code assessment tool with the Tutor tool.<br> - dynamics. This folder contains two datasets of Python and Java public submissions from Stepik and Hyperskill platforms to check the influence of our tool on students code style.<br> - plots. This folder contains examples of charts that were plotted to analyze the tool thresholds.</p> <p>Supplementary materials:<br> - Examples of code quality issues categories. This section in the document contains code snippets with examples of issues for each code quality issue category for Python and Java.<br> - List of available subcategories in the tool.<br> - Tables with penalty coefficients for detection of recurring errors algorithm<br> - Examples of charts that were plotted to analyze the tool thresholds. This section is the same with the plots folder.</p>
Material requirements for future low-carbon electricity projections in Africa - dataset
<p>This dataset is provided to supplement the paper "Material requirements for future low-carbon electricity projections in Africa".</p> <p>The paper calculated the material requirements of proposed electricity systems based on the <a href="https://zenodo.org/record/3521841#.YTHYP44zaUk">JRC-TEMBA </a>projections of African electricity systems, including the embodied emissions resulting from such systems from 2015 to 2065.</p> <p>The data included in this repository covers the total mass of materials, embodied emissions, and jobs created given by country, year and/or region.</p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.