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Fig.ç23.A mblyops sp. 2, female (NSMT-Cr 21368). A, anterior part of body (dorsal); B, antennal scale (right, dorsal); C, apical part of antennal scale (right, dorsal); D, third thoracopodal endopod (right); E, distal part of the same limb (right); F, fourth thoracopod (right); G, distal part of the same limb (right); H, uropodal endopod (le, ventral); I, anterior half of telson. in The Genus Amblyops (Crustacea: Mysida: Mysidae: Erythropinae) from East Asia and Australia, with Descriptions of Ten New Species
Fig.ç23.A mblyops sp. 2, female (NSMT-Cr 21368). A, anterior part of body (dorsal); B, antennal scale (right, dorsal); C, apical part of antennal scale (right, dorsal); D, third thoracopodal endopod (right); E, distal part of the same limb (right); F, fourth thoracopod (right); G, distal part of the same limb (right); H, uropodal endopod (le, ventral); I, anterior half of telson.
Fig.ç2.A, Caligus latigenitalis Shiino, 1954, male (KMNH IvR 500, 510), habitus, dorsal view; B–F. Caligus longiramus sp. nov., holotype, female (KMNH IvR 500, 511): B, habitus, dorsal view; C, caudal rami, dorsal view; D, antennule, ventral view; E, antenna, postantennal process, and maxillule, ventral view; F, mandible. Scale bars: 1 mm (A, B); 0.1 mm (C–F). in Occurrence of Caligid Copepods (Crustacea) in Plankton Samples Collected from Japan and Ŋailand, with the Description of a New Species
Fig.ç2.A, Caligus latigenitalis Shiino, 1954, male (KMNH IvR 500, 510), habitus, dorsal view; B–F. Caligus longiramus sp. nov., holotype, female (KMNH IvR 500, 511): B, habitus, dorsal view; C, caudal rami, dorsal view; D, antennule, ventral view; E, antenna, postantennal process, and maxillule, ventral view; F, mandible. Scale bars: 1 mm (A, B); 0.1 mm (C–F).
Fig. 1 in Scaling of Sound Pressure Level and Body Size in Cicadas (Homoptera: Cicadidae; Tibicinidae)
Fig. 1. Mean call sound pressure level (SPL) at 50 cm as a function of mean body mass for 30 cicada species. Call SPL was calculated from the mean power output determined for each species (n = 1 -40). Body mass is the mean value determined for the males of each species, not the specific individuals that were calling (n = 9-223).
Fig. 2 in Scaling of Sound Pressure Level and Body Size in Cicadas (Homoptera: Cicadidae; Tibicinidae)
Fig. 2. Alarm call SPL as a function of body mass. The alarm calls were measured 50 cm from individual insects using the apparatus described. Each cicada was rotated in space while producing the alarm call to eliminate any variation between species caused by possible asymmetries in the sound field.
Figures 10-12 in A new genus and species of armored scale insect (Hemiptera: Diaspididae) from Australia found in the historic Koebele Collection of the California Academy of Sciences John W. Dooley III
Figures 10-12. Diaspididae spp., habitus, detail of venter of L1 lobes, and pygidium ventral (left) and dorsal (right). 10) Dichosoma convexa (after Brimblecombe 1957). 11) Duplaspidiotus claviger (after Ferris 1937). 12) Eulaingia stenophyllae (after Borchsenius and Williams 1963).
Figure 3 in A new genus and species of armored scale insect (Hemiptera: Diaspididae) from Australia found in the historic Koebele Collection of the California Academy of Sciences John W. Dooley III
Figure 3. Protomorgania koebelei adult female (pygidium). A) L1 lobes fused ventrally, appressed dorsally; B) single simple plate between L1 and position of L2 seta; C) anal pore; D) sclerotized arch; E) chitinized and finely stippled cuticle around vulva.
Figure 2 in A new genus and species of armored scale insect (Hemiptera: Diaspididae) from Australia found in the historic Koebele Collection of the California Academy of Sciences John W. Dooley III
Figure 2. Protomorgania koebelei adult female (thorax and Abdomen). A) anterior perispiracular pores; B) dorsal microducts; C) dorsal microducts, magnified; D) roughened cuticle.
Figure 19 in A new genus and species of armored scale insect (Hemiptera: Diaspididae) from Australia found in the historic Koebele Collection of the California Academy of Sciences John W. Dooley III
Figure 19. Pseudotargionia glandulosa, habitus, detail of venter of L1 lobes, and pygidium ventral (left) and dorsal (right) (after Ferris 1937).
Figure 1. Protomorgania koebelei adult female. A in A new genus and species of armored scale insect (Hemiptera: Diaspididae) from Australia found in the historic Koebele Collection of the California Academy of Sciences John W. Dooley III
Figure 1. Protomorgania koebelei adult female. A) habitus; B) tubercle; C) anterior spiracle; D) posterior spiracle; E) pygidial lobes; F) slide mounted female habitus; G) habitus on host; H) close-up of habitus on host
Figures 7-9 in A new genus and species of armored scale insect (Hemiptera: Diaspididae) from Australia found in the historic Koebele Collection of the California Academy of Sciences John W. Dooley III
Figures 7-9. Diaspididae spp., habitus, detail of venter of L1 lobes, and pygidium ventral (left) and dorsal (right) (after Brimblecombe 1957). 7) Diaphoraspis orbata. 8) Diaspidopus distinctus. 9) Diastolaspis novata.
Figures 4-6 in A new genus and species of armored scale insect (Hemiptera: Diaspididae) from Australia found in the historic Koebele Collection of the California Academy of Sciences John W. Dooley III
Figures 4-6. Diaspididae spp., habitus, detail of venter of L1 lobes, and pygidium ventral (left) and dorsal (right) (after Brimblecombe 1957). 4) Achorphora obliqua. 5) Acontonidia triangulari. 6) Aspidonymus woodwardi.
Figures 16-18 in A new genus and species of armored scale insect (Hemiptera: Diaspididae) from Australia found in the historic Koebele Collection of the California Academy of Sciences John W. Dooley III
Figures 16-18. Diaspididae spp., habitus, detail of venter of L1 lobes, and pygidium ventral (left) and dorsal (right). 16) Neoleonardia extensa (after Ferris 1938). 17) Neomorgania eucalypti (after Ferris 1937). 18) Pseudaonidia duplex (after Ferris 1937).
Text-fig. 3. Progonomys morganae molars from the upper part of the Nagri Formation. a) YGSP 33180, holotype, from Y 450 and b) 54091 from Y 450; both left M1 with buccal side upward. c) 34159 from Y259; and d) 36168 from Y 311, left and right m1, respectively, with lingual side upward. Scale for all is 1 mm. in Early Late Miocene Murine Rodents From The Upper Part Of The Nagri Formation, Siwalik Group, Pakistan, With A New Fossil Calibration Point For The Tribe Apodemurini (Apodemus/Tokudaia)
Text-fig. 3. Progonomys morganae molars from the upper part of the Nagri Formation. a) YGSP 33180, holotype, from Y 450 and b) 54091 from Y 450; both left M1 with buccal side upward. c) 34159 from Y259; and d) 36168 from Y 311, left and right m1, respectively, with lingual side upward. Scale for all is 1 mm.
StemGMD: A Large-Scale Audio Dataset of Isolated Drum Stems for Deep Drums Demixing - part 2
<p>We introduce StemGMD, a new large-scale dataset of isolated drum stems that builds upon the extensive MIDI collection found in <a href="https://magenta.tensorflow.org/datasets/groove">Magenta's Groove MIDI Dataset (GMD)</a>.</p> <p>GMD is a 13.6-hour corpus of expressive drum performances executed by ten drummers on a Roland TD-11 electronic drum kit. It contains 1150 MIDI files along with the corresponding full-kit audio mixtures.</p> <p>As a first step in creating StemGMD, we mapped the 22 different MIDI pitches found in the original files onto nine canonical instruments through the reduction scheme proposed in J. Gillick, A. Roberts, J. Engel, D. Eck, and D. Bamman, "Learning to groove with inverse sequence transformations," in International Conference on Machine Learning (ICML), vol. 97, 2019, pp. 2269–2279.</p> <p>Each of the nine resulting MIDI channels was manually synthesized as a 16-bit/44.1 kHz stereo WAV file using ten realistic-sounding acoustic drum kits sourced from the <a href="https://support.apple.com/en-me/guide/logicpro/lgsi2fb2509e/mac">Logic Pro X sample libraries</a>, i.e., Bluebird, Brooklyn, Detroit Garage, East Bay, Heavy, Motown Revisited, Portland, Retro Rock, Roots, and SoCal.</p> <p>As a result, StemGMD contains 1224 hours of audio, which correspond to more than 136 hours of full-kit mixtures. Moreover, StemGMD also contains single hits for each of the drum pieces at ten different velocities ranging from 30 to 127.</p> <p>To the best of our knowledge, StemGMD is the largest publicly available dataset of drums to date. Moreover, it is the first collection of single-instrument clips from all nine pieces in a canonical drum kit, making it well-suited for training deep drums demixing models.</p> <p> </p> <p><strong>*** THIS IS PART 2 OF 2 ***</strong></p> <p><strong>Download part 1 here:</strong> <a href="../records/7860223">https://zenodo.org/records/7860223 </a></p> <p>After downloading both parts, run <strong>unzip_StemGMD.sh</strong> to build the dataset from the split archive files.<br>Once unzipped, StemGMD will take just over <strong>1.13 TB </strong>of memory.</p> <p> </p> <p>The dataset is made available under a <a href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International (CC BY 4.0) License</a>.<br><br>_____________________________<br><br>We employed the dataset in our paper titled "Toward Deep Drum Source Separation," published in Pattern Recognition Letters. </p> <div> <div> <div> <div> <p>Please, cite this work as: A. I. Mezza, R. Giampiccolo, A. Bernardini, and A. Sarti, "Toward Deep Drum Source Separation," Pattern Recognition Letters, vol. 183, pp. 86-91, 2024, doi: 10.1016/j.patrec.2024.04.026.</p> <pre>@article{mezza2024, title = {Toward deep drum source separation}, author = {Alessandro Ilic Mezza and Riccardo Giampiccolo and Alberto Bernardini and Augusto Sarti}, journal = {Pattern Recognition Letters}, volume = {183}, pages = {86-91}, year = {2024}, issn = {0167-8655}, doi = {https://doi.org/10.1016/j.patrec.2024.04.026} }</pre> </div> </div> </div> </div>
EUV-Induced Hydrogen Desorption As A Step Towards Large-Scale Silicon Quantum Device Patterning
<p><strong>Dataset: </strong>STM, XPS and PEEM raw data, processed data and the codes used for data fitting our <a href="https://doi.org/10.1038/s41467-024-44790-6">published work</a> are all available here.</p> <p><strong>Abstract: </strong>Atomically precise hydrogen desorption lithography using scanning tunnelling microscopy (STM) has enabled the development of single-atom, quantum-electronic devices on a laboratory scale. Scaling up this technology to mass-produce these devices requires bridging the gap between the precision of STM and the processes used in next-generation semiconductor manufacturing. Here, we demonstrate the ability to remove hydrogen from a monohydride Si(001):H surface using extreme ultraviolet (EUV) light. We quantify the desorption characteristics using various techniques, including STM, X-ray photoelectron spectroscopy (XPS), and photoemission electron microscopy (XPEEM). Our results show that desorption is induced by secondary electrons from valence band excitations, consistent with an exactly solvable non-linear differential equation and compatible with the current 13.5 nm (~92 eV) EUV standard for photolithography; the data imply useful exposure times of order minutes for the 300 W sources characteristic of EUV infrastructure. This is an important step towards the EUV patterning of silicon surfaces without traditional resists, by offering the possibility for parallel processing in the fabrication of classical and quantum devices through deterministic doping.</p> <p> </p>
Beneath the Antarctic sea-ice: Fine-scale analysis of Weddell seal (Leptonychotes weddellii) behaviour and predator-prey interactions, using micro-sonar data in Terre Adélie
<p>In this study, we tried to assess:<br>i) whether and how female Weddell seals feed (frequency, depth, duration) during lactation,<br>ii) what is their utilization of a limited foraging area (benthic or pelagic dives) as they are spatially constrained by the presence of their pup, and<br>iii) how can we characterize their foraging dives and the approach/catching phases using new tools providing a more detailed description of their behaviour.<br>Sonar tags were deployed on three breeding female Weddell seals in Terre Adélie (East Antarctica) in November 2019, to study animals' movements and dives at high resolution (3D acceleration, magnetometry, time and depth and GPS location), as well as information on prey and predator-prey interactions using acoustic data.</p>
Figs 1–11. Cochliopodium actinophorum, strain CCAP 1537 in Scale Structure of Cochliopodium actinophorum (Auerbach, 1856) (Amoebozoa, Cochliopodiidae) and a New Diagnosis of this Species
Figs 1–11. Cochliopodium actinophorum, strain CCAP 1537/10, light micrographs of the living amoebae (1–8) and electron micrographs of the whole mounts of scales (9–11). 1–4. Locomotive forms on the glass surface, note scales visible in 3 and 4. 5. Amoeba during non-directional movement. 6. Granuloplasm at a higher magnification showing crystals. 7. Nucleus. 8. Cyst. Scale bars: 10 µm in Figs 1–6 and 8, 5 µm in Fig. 7, 0.5 µm in 9, 0.25 µm in 10, and 1 µm in 11.
Fig. 17. Cochliopodium actinophorum CCAP 1537 in Scale Structure of Cochliopodium actinophorum (Auerbach, 1856) (Amoebozoa, Cochliopodiidae) and a New Diagnosis of this Species
Fig. 17. Cochliopodium actinophorum CCAP 1537/10, diagram, illustrating the scale structure as deduced from ultrathin sections and shadowed whole mounts. Scale bar: 0.25 μm.
Figs 12–16. Cochliopodium actinophorum CCAP 1537 in Scale Structure of Cochliopodium actinophorum (Auerbach, 1856) (Amoebozoa, Cochliopodiidae) and a New Diagnosis of this Species
Figs 12–16. Cochliopodium actinophorum CCAP 1537/10, transmission electron micrographs. 12–14. Scales in a vertical section (12) and in tangential sections (13–14). 15. Section of an amoeba at lower magnification showing nucleus (n) and dictyosomes (d). 16. Dictyosomes at higher magnification showing Golgi attachment (arrowheads). Scale bars: 1 μm throughout.
Star Trail in the Southern Hemisphere with Bortle 4 Scale Light Pollution
<p>Winner in the 2023 IAU OAE Astrophotography Contest, category Still images with smartphones-mobile devices: Star Trail in the Southern Hemisphere with Bortle 4 Scale Light Pollution, by Slamat Riyadi.</p> <p>This breathtaking photo, captured under the clear night sky of Linggamekar Village, Cilimus, Kuningan, West Java, Indonesia on 25 June 2020, displays star trails sweeping across the southern hemisphere’s heavens. The star trails are due to Earth’s rotation causing the apparent motion of stars, creating these mesmerising arcs of light when followed over extended periods. Here, the point the stars rotate around (the South Celestial Pole) is close to the horizon, as the image was taken close to the equator. The photographer used the star trail feature on a smartphone, which captured a series of images over an extended period and stacked them together. The striking tree in the foreground adds depth to the image, contrasting the celestial motion above with its Earthly stillness, while also masking some of the surrounding light pollution. Different parts of the world offer diverse and stunning perspectives on the night sky, emphasising the importance of preserving dark skies everywhere.</p> <p>Credit: Slamat Riyadi/IAU OAE (<a href="https://creativecommons.org/licenses/by/4.0/legalcode">CC BY 4.0</a>)</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.