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FIGURE 7 in Inventory of the Carabid Beetle Fauna of the Gaoligong Mountains, Western Yunnan Province, China: Species of the Tribe Trechini (Coleoptera: Caraboidea), with Descriptions of Four New Genera, One New Subgenus and 19 New Species.
FIGURE 7. Agonotrechus fugongensis sp. nov.; a. Dorsal habitus (CASENT1019979). b. Median lobe of aedeagus of male (CASENT1019979), left lateral aspect. c. Map of locality records (red circles) for A. fugongensis in the Gaoligong Shan region. Scale lines a, b = 0.5 mm, c = 100 km.
FIGURE 27 in Inventory of the Carabid Beetle Fauna of the Gaoligong Mountains, Western Yunnan Province, China: Species of the Tribe Trechini (Coleoptera: Caraboidea), with Descriptions of Four New Genera, One New Subgenus and 19 New Species.
FIGURE 27. Trechepaphiopsis unisetosa (Deuve); a. Dorsal habitus (CASENT1024491). b-c. Median lobe of aedeagus of male (CASENT1001903); b. left lateral aspect; c. ventral aspect. d. Map of locality records (red circles) for T. unisetosa in the Gaoligong Shan region. Scale lines a-c = 0.5 mm, d = 100 km.
FIGURE 17 in Inventory of the Carabid Beetle Fauna of the Gaoligong Mountains, Western Yunnan Province, China: Species of the Tribe Trechini (Coleoptera: Caraboidea), with Descriptions of Four New Genera, One New Subgenus and 19 New Species.
FIGURE 17. Trechus indicus Putzeys; a. Dorsal habitus (CASENT1016115). b. Median lobe of aedeagus of male (CASENT1015874), left lateral aspect. c. Map of locality records (red circles) for T. indicus in the Gaoligong Shan region. Scale lines a, b = 0.5 mm, c = 100 km.
FIGURE 22 in Inventory of the Carabid Beetle Fauna of the Gaoligong Mountains, Western Yunnan Province, China: Species of the Tribe Trechini (Coleoptera: Caraboidea), with Descriptions of Four New Genera, One New Subgenus and 19 New Species.
FIGURE 22. Trechus luzhangensis sp. nov.; a. Dorsal habitus (CASENT1017595). b. Median lobe of aedeagus of male (CASENT1017595), left lateral aspect. c. Map of locality records (red circles) for T. luzhangensis in the Gaoligong Shan region. Scale lines a, b = 0.5 mm, c = 100 km.
FIGURES 2–4. Fig. 2 in Inventory of the Carabid Beetle Fauna of the Gaoligong Mountains, Western Yunnan Province, China: Species of the Tribe Trechini (Coleoptera: Caraboidea), with Descriptions of Four New Genera, One New Subgenus and 19 New Species.
FIGURES 2–4. Fig. 2. Map showing natural extent of study area, colored in green (however, sampling was permitted only in those portions in Yunnan Province. Fig. 3. Map showing location of core sampling areas. Fig. 4. Map showing locations of all entomological sampling sites.
FIGURE 1 in Inventory of the Carabid Beetle Fauna of the Gaoligong Mountains, Western Yunnan Province, China: Species of the Tribe Trechini (Coleoptera: Caraboidea), with Descriptions of Four New Genera, One New Subgenus and 19 New Species.
FIGURE 1. Map of Asia with study region outlined; scale line = m 500 km. Modified from Wikimedia Commons, World Atlas of the World, at URL: [last accessed 28 September 2016].
FIGURE 26 in Inventory of the Carabid Beetle Fauna of the Gaoligong Mountains, Western Yunnan Province, China: Species of the Tribe Trechini (Coleoptera: Caraboidea), with Descriptions of Four New Genera, One New Subgenus and 19 New Species.
FIGURE 26. Trechepaphiopsis unisetigera (Uéno); Map of locality record (red circle) for T. unisetigera in the Gaoligong Shan region. Scale line = 100 km.
FIGURE 19 in Inventory of the Carabid Beetle Fauna of the Gaoligong Mountains, Western Yunnan Province, China: Species of the Tribe Trechini (Coleoptera: Caraboidea), with Descriptions of Four New Genera, One New Subgenus and 19 New Species.
FIGURE 19. Trechus mingguangensis sp. nov.; a. Dorsal habitus (CASENT1038692). b. Median lobe of aedeagus of male (CASENT1038692), left lateral aspect. c. Map of locality records (red circles) for T. mingguangensis in the Gaoligong Shan region. Scale lines a, b = 0.5 mm, c = 100 km.
FIGURE 8 in Inventory of the Carabid Beetle Fauna of the Gaoligong Mountains, Western Yunnan Province, China: Species of the Tribe Trechini (Coleoptera: Caraboidea), with Descriptions of Four New Genera, One New Subgenus and 19 New Species.
FIGURE 8. Agonotrechus wuyipeng Deuve; a. Dorsal habitus (CASENT1010854). b. Median lobe of aedeagus of male (CASENT1010854), left lateral aspect. c. Map of locality records (red circles) for A. wuyipeng in the Gaoligong Shan region. Scale lines a, b = 0.5 mm, c = 100 km.
FIGURE 31 in Inventory of the Carabid Beetle Fauna of the Gaoligong Mountains, Western Yunnan Province, China: Species of the Tribe Trechini (Coleoptera: Caraboidea), with Descriptions of Four New Genera, One New Subgenus and 19 New Species.
FIGURE 31. Trechepaphiopsis unipilosa sp. nov.; a. Dorsal habitus (CASENT1023757). b. Median lobe of aedeagus of male (CASENT1023757), left lateral aspect. c. Map of locality records (red circles) for T. unipilosa in the Gaoligong Shan region. Scale lines a, b = 0.5 mm, c = 100 km.
FIGURE 10 in Inventory of the Carabid Beetle Fauna of the Gaoligong Mountains, Western Yunnan Province, China: Species of the Tribe Trechini (Coleoptera: Caraboidea), with Descriptions of Four New Genera, One New Subgenus and 19 New Species.
FIGURE 10. Agonotrechus yunnanus Uéno; Map of locality record (red circle) in the Gaoligong Shan region. Scale line = 100 km.
FIGURE 1. Macromitrium eddyi B.C in Species of Macromitrium (Orthotrichaceae) New to the Mindanao Region and the Philippines with One Species New to Science
FIGURE 1. Macromitrium eddyi B.C. Tan & Shevock from the holotype, Stevens 55716 (BM). A. Leaf apex with percurrent costa of elongate cells and upper laminal cells multipapillose. B. Leaves. C. Lower laminal cells elongate with thickened walls and narrow, straight to somewhat curved lumina cells conspicuously tuberculate. Scale bars: A, C: 5 µm, B. 0.5 mm.
Fig. 1 in One new species and one new record of lymantriine moths (Lepidoptera: Erebidae: Lymantriinae) in Korea
Fig. 1. Adults of two new Lymantriine species from Korea. Scale bar = 10 mm. A. Arna bipunctapex (Hampson), B. Euproctis fulvatus sp. nov.
Figure3. APCs A1-A4 connected within range of cohesion-factor-threshold form members of one ARB-AIDEN: A Density Conscious Artificial Immune System for Automatic Discovery of Arbitrary Shape Clusters in Spatial Patterns
<p>Figure3 depicts this process. The<br> model with the above specification then effectively detects self or non-self pathogens. In terms of<br> its application to the task of clustering, this interpretation means making the affinities high within<br> clusters and low across clusters. A pathogen corresponding to an outlier would not stimulate a TCR<br> sufficiently and may not form part of any ARB.</p>
Figure 3. (Top): Illustration of the therapy selection main menu. This enables the user to select one of three options for the therapy. Stimuli sequence selectors; (Bottom): (a) Short distance – complete visual field; (b) Short distance – macular; (c) Middle-long distance.-Design of a Novel Servo-motorized Laser Device for Visual Pathways Diseases Therapy
<p>distance therapies for the prescribed time suggested by the ophthalmologist.<br> Note that the complete visual field therapy stimulates different parts in the entire visual field<br> whereas macular therapy stimulate only a small part of the visual field, only the first 10° of vision<br> range. In contrast, middle-long distance therapies are not developed inside the device; instead the<br> patient must sit watching a wall, where the stimuli will be presented. Figure 3 (Bottom) shows the<br> sequence selectors for the three different cases. The therapist will choose a desired number of<br> sequences according to the results of the examination to each patient; hence it is completely patient<br> dependent.<br> Once the therapist finishes the particular design of the stimuli sequence, the software<br> automatically displays a window where he can save the customized patient-specific details for future<br> use as a text file.</p>
Data set for Plos One Article "Force sharing and other collaborative strategies in a dyadic force perception task"
<p>Data set for Plos One Article :</p> <p>Tatti, F., Baud-Bovy G. (2018) "Force sharing and other collaborative strategies in a dyadic force perception task". doi: 10.1371/journal.pone.0192754</p> <p>This study investigates how people might interact to extract information from the forces experienced while holding an object together. More specifically, the dyads (i.e. pairs formed two persons) participating to the study had to identify the direction of a small force applied to a jointly held object by a haptic device. This study included a condition where each participant responded independently and another one where the two participants had to agree upon a single negotiated response.</p> <p>The dataset (data.csv) contains the force produced by the haptic device and the average and standard deviation of the interaction force for all trials together with the responses of the participants. We also included the initial and final position of the haptic device and total distance traveled for each trial.</p> <p>The data are in comma separated text format and its description in a PDF document (readme.pdf).</p>
Figure 10: Brain Functor: Scheme for receiving and sending through one universal
<p>Mathematically, for each het X→A there is a unique internal "perceiving" hom F(X)⇒A so there is a canonical isomorphism: Hom(F(X), A) ≅ Het(X, A). And for each het A→X in the other direction, there is a unique internal "action" hom A⇒F(X) so there is also a canonical isomorphism: Het(A, X) ≅ Hom(A, F(X)). The concept of a brain functor is the natural cognate or associated concept to an adjunction. For an adjunction, there are two functors that represent on the left and right the hets going one way between the categories: Hom(F(X), A) ≅ Het(X, A) ≅ Hom(X,G(A)). For a brain functor, there is one functor that represents on the left and right the hets going the two ways between the categories: Hom(F(X), A) ≅ Het(X, A) and Het(A, X) ≅ Hom(A, F(X)). Hence the general scheme given by a brain functor is receiving and sending determination through one universal (the "brain").</p>
BRAIN Journal-Motor Imagery signal Classification for BCI System Using Empirical Mode Décomposition and Bandpower Feature Extraction-Figure 3. Hybrid EMD-BP approach for one trail feature extraction
<p>In this work, we propose a direct nonlinear approach to extract the more relevant IMFs corresponding to the different frequency components in the and bands and then obtain the BP in order to use them as features for mental task classification (see Fig. 3). The feature vector p used for the demonstration in this paper is composed, for each sample I, 1 < i < 2048, in a given trial (among a total of 160 trials) of four bandpower, calculated of the rhythms and in positions C3 and C4 Trad et al., 2011).</p>
BRAIN Journal-Motor Imagery signal Classification for BCI System Using Empirical Mode Décomposition and Bandpower Feature Extraction-Figure 3. Hybrid EMD-BP approach for one trail feature extraction
<p>In this work, we propose a direct nonlinear approach to extract the more relevant IMFs corresponding to the different frequency components in the and bands and then obtain the BP in order to use them as features for mental task classification (see Fig. 3). The feature vector pi used for the demonstration in this paper is composed, for each sample I, 1 < i < 2048, in a given trial (among a total of 160 trials) of four bandpower, calculated of the rhythms and in positions C3 and C4 (Trad et al., 2011).</p>
BRAIN Journal-Motor Imagery signal Classification for BCI System Using Empirical Mode Décomposition and Bandpower Feature Extraction-Figure 2. Timing of one trial of the experiment with continuous feedback (Guger et al, 2001)
<p>At the beginning of each trial (t = 0 s), a fixation cross appeared on the black screen. After two seconds a warning stimulus was given in the form of a beep. From 3 to 4.25s, an arrow (cue stimulus), pointing to the left or right, was shown on the screen. The subject was instructed to imagine a left or right hand movement until the end of the trial, depending on the direction of the arrow. The EEG was sampled and classified on line throughout the session. Between 4.25 and 8s, the classification result was used to give a continuously updated feedback stimulus in the form of a horizontal bar that appeared in the center of the screen. The paradigm is illustrated in fig (2).</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.