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Figs 9–12 in ON SPLITTING OF THE GENUS NOTOCUPES (COLEOPTERA: ARCHOSTEMATA): NEW DATA ON MORPHOLOGY AND TAXONOMY
Figs 9–12. Odontomma patula (Ponomarenko, 1985). 9 – photograph of the print; 10 – photograph of the counterprint; 11 – interpretative linedrawing of the print; 12 – interpretative linedrawing of the counterprint. Cuticular tubercles depicted in a square frame. Scale bar = 1 mm.
Figs 42–47. Pronotal and prosternal morphology. 42 in ON SPLITTING OF THE GENUS NOTOCUPES (COLEOPTERA: ARCHOSTEMATA): NEW DATA ON MORPHOLOGY AND TAXONOMY
Figs 42–47. Pronotal and prosternal morphology. 42 – Notocupes pulcher; 43 – Notocupes excellens; 44 – Rhabdocupes vitimensis; 45 – Notocupes elegans; 46 – Brachilatus nigrimonticola; 47 – Notocupes caudatus. Abbreviations: pl – propleuron; s.n.pl. – notopleural suture; s.pl.st. – pleurosternal suture. Scale bar = 1 mm.
Figs 29–31 in ON SPLITTING OF THE GENUS NOTOCUPES (COLEOPTERA: ARCHOSTEMATA): NEW DATA ON MORPHOLOGY AND TAXONOMY
Figs 29–31. Characteristic of cuticular coverings five investigated genera of Archostemata. 29 – Rhabdocupes oxypygus, covered with one type of cuticular tubercles; 30 – Notocupes caudatus, covered with two types of cuticular tubercles; 31 – Brachilatus caducus, covered with three types of cuticular tubercles. Scale bar = 1 mm.
Figs 32–37. Head tubercles located and form. 32–34 in ON SPLITTING OF THE GENUS NOTOCUPES (COLEOPTERA: ARCHOSTEMATA): NEW DATA ON MORPHOLOGY AND TAXONOMY
Figs 32–37. Head tubercles located and form. 32–34 – linedrawings: 32 – Rhabdocupes laticella; 33 – Rhabdocupes tenuis; 34 – Notocupes caudatus; 35–37 – head photographs: 35 – Rhabdocupes laticella; 36 – Rhabdocupes tenuis; 37 – Notocupes caudatus. Abbreviations: Р1 – supraantennal protuberance; Р2 – supraocular protuberance; Р3 – posteromesal protuberance. Scale bar = 1 mm.
Figs 25–28 in ON SPLITTING OF THE GENUS NOTOCUPES (COLEOPTERA: ARCHOSTEMATA): NEW DATA ON MORPHOLOGY AND TAXONOMY
Figs 25–28. Elytron venation types of five investigated genera of Archostemata. 25, 26 – Zygadenia alexrasnitsyni Strelnikova et Yan, 2021: 25 – photograph; 26 – interpretative linedrawing; 27, 28 – Notocupes elegans Ponomarenko, 1994: 27 – photograph; 28 – interpretative linedrawing. Elytral fields marked with Roman numerals, veins – with Arabic. Scale bar = 1 mm.
Fig. 24. Tubercles size-density variability among different Archostemata genera. B in ON SPLITTING OF THE GENUS NOTOCUPES (COLEOPTERA: ARCHOSTEMATA): NEW DATA ON MORPHOLOGY AND TAXONOMY
Fig. 24. Tubercles size-density variability among different Archostemata genera. B (violet) – Brachilatus; C (yellow) – Conexicoxa; N (blue) – Notocupes; O (red) – Odontomma; Rh (green) – Rhabdocupes; Z (grey) – Zygadenia. Species with veins 2 and 3 merging before reaching elytron apex are marked with "+", or with "?" if this character is unclear.
Figs 38–41. Antennae morphology. 38 in ON SPLITTING OF THE GENUS NOTOCUPES (COLEOPTERA: ARCHOSTEMATA): NEW DATA ON MORPHOLOGY AND TAXONOMY
Figs 38–41. Antennae morphology. 38 – filiform of Notocupes pulcher; 39 – moniliform of Notocupes excellens; 40 – weakly serrated of Rhabdocupes minisculus; 41 – filiform of Brachilatus nigrimonticola. Scale bar = 1 mm.
Figs 14–23 in ON SPLITTING OF THE GENUS NOTOCUPES (COLEOPTERA: ARCHOSTEMATA): NEW DATA ON MORPHOLOGY AND TAXONOMY
Figs 14–23. Integuments of extant Archostemata. 14, 16, 19, 20, 22 – Omma stanleyi Newman, 1839: 14 – abdominal sternite, tomography image; 16 – SEM–micrography of scales; 19 – SEM–micrograph of wide scales attached to larger tubercles; 20 – SEM–micrograph of narrow scales, attached to middle–sized tubercles; 22 – SEM–micrograph of abdominal sternite; 15, 17, 18 – Priacma serrata (LeConte, 1861): 15 – abdominal sternite, tomography image; 17 – SEM–micrograph of scales on large tubercles; 18 – SEM–micrograph of two types of scales and tubercles; 21, 23 – Distocupes varians (Lea, 1902): 21 – abdominal sternites, tomography image; 23 – SEM–micrograph of scales on large tubercles. Dashed and dotted lines indicate narrow elevated portions of sternites. Scale bar = 1 mm if not stated otherwise.
Fig. 13 in ON SPLITTING OF THE GENUS NOTOCUPES (COLEOPTERA: ARCHOSTEMATA): NEW DATA ON MORPHOLOGY AND TAXONOMY
Fig. 13. Size and density of cuticular tubercles in species studied of ancient Rhabdocupes, Conеxicoxa, Notocupes, Brachilatus, Odontomma, Zygadenia and some extant Omma and Distocupes. Tubercles of Odontomma sulcatum were examined from photographs in Kirejtshuk (2020). Yellow – Triassic species; Red – Early Jurassic; Blue – Middle to Late Jurassic; Green – Cretaceous. Here and further orange columns represent density of small (0.01–0.02 mm in diameter), blue – density of middle-sized (0.02–0.04 mm in diameter), violet – density of large (0.04–0.07 mm in diameter) tubercles. Names of localities are given above columns.
Figs 57–60. Abdomen morphology. 57 in ON SPLITTING OF THE GENUS NOTOCUPES (COLEOPTERA: ARCHOSTEMATA): NEW DATA ON MORPHOLOGY AND TAXONOMY
Figs 57–60. Abdomen morphology. 57 – Rhabdocupes rostratus; 58 – Conexicoxa longicollis; 59 – Brachilatus caducus; 60 – Notocupes lapidarius. Scale bar = 1 mm.
Figs 48–52 in ON SPLITTING OF THE GENUS NOTOCUPES (COLEOPTERA: ARCHOSTEMATA): NEW DATA ON MORPHOLOGY AND TAXONOMY
Figs 48–52. Form and size of elytral cells. 48 – large round cells of Rhabdocupes vitimensis; 49 – medium-sized ovate cells of Conexicoxa kirghizica; 50 – square large cells of Notocupes excellens; 51 – multifaceted small cells of Notocupes dundulaensis; 52 – small ovate cells with pronounced intercalary of Rhabdocupes tenuis.
Figs 53–56. Metaventrite structure. 53 in ON SPLITTING OF THE GENUS NOTOCUPES (COLEOPTERA: ARCHOSTEMATA): NEW DATA ON MORPHOLOGY AND TAXONOMY
Figs 53–56. Metaventrite structure. 53 – Conexicoxa crassa; 54 – Notocupes excellens; 55 – Rhabdocupes oxypygus; 56 – Rhabdocupes issykkulensis. Red indicates paracoxal suture and posterior margin of metaventrite. Scale bar = 1 mm.
Figs 9–12 in ON SPLITTING OF THE GENUS NOTOCUPES (COLEOPTERA: ARCHOSTEMATA): NEW DATA ON MORPHOLOGY AND TAXONOMY
Figs 9–12. Odontomma patula (Ponomarenko, 1985). 9 – photograph of the print; 10 – photograph of the counterprint; 11 – interpretative linedrawing of the print; 12 – interpretative linedrawing of the counterprint. Cuticular tubercles depicted in a square frame. Scale bar = 1 mm. 6
Figs 5–8 in ON SPLITTING OF THE GENUS NOTOCUPES (COLEOPTERA: ARCHOSTEMATA): NEW DATA ON MORPHOLOGY AND TAXONOMY
Figs 5–8. Representatives of the four investigated genera. 5 – Rhabdocupes protensus (Tan et al., 2006); 6 – Conexicoxa epicharis (Tan, Ren et Liu, 2005); 7 – Notocupes picturatus Ponomarenko, 1964; 8 – Brachilatus longicoxa (Soriano et Martinez-Delclòs, 2006). Scale bar = 1 mm.
Figs 1–4 in ON SPLITTING OF THE GENUS NOTOCUPES (COLEOPTERA: ARCHOSTEMATA): NEW DATA ON MORPHOLOGY AND TAXONOMY
Figs 1–4. Types of elytral venation. 1 – Conexicoxa brachicephala (Ponomarenko, 1994); 2 – schematic drawing of Zygadenia spp.; 3 – Z. liui Jarzembowski et al., 2015; 4 – Z. westraliensis (Riek, 1968). (Figs 1, 2, 4 – redrawing with changes from Ponomarenko, 1994, 2006; Martin, 2010). Scale bar = 1.
Dataset for DFT and one-step model results used in publication "Persistence of Structural Distortion and Bulk Band Rashba Splitting in SnTe above Its Ferroelectric Critical Temperature" in Nano Letters, 2024, 24, 1, 82–88
<p>Dataset for DFT and one-step model results used in publication DOI 10.1021/acs.nanolett.3c03280, "Persistence of Structural Distortion and Bulk Band Rashba Splitting in SnTe above Its Ferroelectric Critical Temperature" in Nano Letters, 2024, 24, 1, 82–88.</p> <p>Description of dataset is in the ReadMe.txt file in subdirectories.</p>
Small dataset machine-learning approach for efficient design space exploration: engineering ZnTe-based high-entropy alloys for water splitting
<p>Atomic structure data used in the research article entitled "Small Dataset Machine-Learning Approaches to Explore the Design Space of High-Entropy Alloys: Engineering ZnTe-based Multicomponent Alloys for the Photo-Splitting of Water"</p>
2024 Philadelphia Marathon Results (with splits)
<p>This dataset includes the results of the 2024 Philadelphia Marathon. These unofficial results were sourced from the Philly Marathon website on Friday, 11/29/2024.</p> <p>These results were initially collected as part of an analysis that was published on <a href="https://runningwithrock.com/2024-philly-marathon-data/">Running with Rock</a> and in <br><a href="https://medium.com/runners-life/the-2024-philadelphia-marathon-by-the-numbers-f08243aa8ee4">Runner's Life</a>.</p> <p>The dataset includes 12,381 results with the following information:</p> <ul> <li>Bib number</li> <li>Name (First Last)</li> <li>City</li> <li>State</li> <li>Age (0 indicates unknown)</li> <li>Gender (Men, Women, Non-Binary)</li> <li>Overall Place</li> <li>Gender Place</li> <li>Age Place (within gender and age group)</li> <li>Finish Time (H:MM:SS)</li> <li>Split at 5k (MM:SS)</li> <li>Split at 15k (H:MM:SS)</li> <li>Split at Half (H:MM:SS)</li> <li>Split at 30k (H:MM:SS)</li> <li>Split at 40k (H:MM:SS)</li> </ul> <p>Note that there was no field indicating a runner's country. However, by analyzing the state column, you can infer whether a runner is from the United States or another country.</p>
2-back task in split-belt adaptation
<p>We studied split-belt treadmill adaptation and savings in young (21±2 y/o) and older (56±6 y/o) adults with or without a secondary 2-back task during adaptation. We here provide here kinematic data for split-belt treadmill walking - specifically, step length asymmetry, double support asymmetry, and limb excursion asymmetry measure. We provide raw response data (button presses and reaction time) for performance in the 2-back cognitive task. We also provide scripts that can be used to analyse motor and cognitive data using bootstrapping.</p>
Data from: Emergence of splits and collective turns in pigeon flocks under predation
Complex patterns of collective behaviour may emerge through self-organization, from local interactions among individuals in a group. To understand what behavioural rules underlie these patterns, computational models are often necessary. These rules have not yet been systematically studied for bird flocks under predation. Here, we study airborne flocks of homing pigeons attacked by a robotic-falcon, combining empirical data with a species-specific computational model of collective escape. By analysing GPS trajectories of flocking individuals, we identify two new patterns of collective escape: early splits and collective turns, occurring even at large distances from the predator. To examine their formation, we extend an agent-based model of pigeons with a 'discrete' escape manoeuvre by a single initiator, namely a sudden turn interrupting the continuous coordinated motion of the group. Both splits and collective turns emerge from this rule. Their relative frequency depends on the angular velocity and position of the initiator in the flock: sharp turns by individuals at the periphery lead to more splits than collective turns. We confirm this association in the empirical data. Our study highlights the importance of discrete and uncoordinated manoeuvres in the collective escape of bird flocks and advocates the systematic study of their patterns across species.
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.