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Fig. 5 in Geographical color pattern of Argia apicalis (Odonata: Coenagrionidae) in the absence of molecular variation
Fig. 5. Identifying characters of Argia apicalis in the southeast: (A) humeral stripe wide extending at least three-quarters of the pterothorax length; (B) middorsal line slightly wider than in northwestern A. apicalis; and (C) paler caudal appendage (whiter) than in individuals from the north.
Fig. 2 in Geographical color pattern of Argia apicalis (Odonata: Coenagrionidae) in the absence of molecular variation
Fig. 2. (A) Distribution map of specimens examined (this accounts for about 59% of the reported distribution of Argia apicalis). Dark gray states with black dots represent collected specimen localities, and light gray states with no dots represent areas where no specimens were collected. (B) Distribution of color morphs of A. apicalis in Florida; dark gray represents counties with typical A. apicalis, light gray represents counties with atypical A. apicalis, and the striped area represents the county in which both typical and atypical A. apicalis morphs are present.
Fig. 4 in Geographical color pattern of Argia apicalis (Odonata: Coenagrionidae) in the absence of molecular variation
Fig. 4. Variation in width and extension of humeral stripes in the northwest region of the distribution: (A) Dallas County, Texas; (B) Fairfax County, Virginia; (C) Hunterdon County,New Jersey;(D) Iowa; (E) Missouri County,Oregon; (F) Washington Parish,Louisiana; (G) Holmes County, Florida;(H) Wharton County, Texas; and (I) Washington D.C.
Fig. 1. The 4 in Geographical color pattern of Argia apicalis (Odonata: Coenagrionidae) in the absence of molecular variation
Fig. 1. The 4 defining characters of Argia apicalis; (A) a pearlaceous blue pterothorax and a hairline humeral stripe; (B) a thin dorsal stripe; (C) males have a distinctive pointed and tooth-like cercus; (D) and their distribution east of the Rocky Mountains (shaded areas on map are the recorded distribution of A. apicalis).
Fig. 3 in Geographical color pattern of Argia apicalis (Odonata: Coenagrionidae) in the absence of molecular variation
Fig. 3. Geographical color variation: individuals from the (A) northwestern range of the distribution have a typical (= narrow) humeral stripe, whereas individuals from the (B) southeastern part of the range have an atypical (= wide) humeral stripe.
Fig. 6 in Geographical color pattern of Argia apicalis (Odonata: Coenagrionidae) in the absence of molecular variation
Fig. 6. Variation of humeral stripes in the southeast region of the distribution: (A) Clay County, Florida; (B) Columbia County; Florida; (C) Wakulla County, Florida; and (D) Suwannee County, Florida.
Рис. 1. ФиΛогенетические Αеревья хантавируса AMRV и его прироΑного носитеΛя восточноазиатской мыши Apodemus peninsulae Thomas, 1906. А. ФиΛогенетическое Αерево восточноазиатской мыши Apodemus peninsulae, построенное метоΑом «максимаΛьного правΑопоΑобия» (ML) и поΛученное на основе анаΛиза участка гена цитохрома b мтΔНК (744 п.н.). В узΛах ветвΛения указаны бутстреп-поΑΑержки, рассчитанные ΑΛя 1000 повторов. Цветными Λиниями обозначены фиΛогенетические Λинии: Αве Китайские (зеΛеный), Корейская «Korea» (синий), Амурская «Amur» (красный). ПоΛужирным шрифтом выΑеΛены собственные образцы. Названия образцов из GenBank/NCBI быΛи сокращены; B. ФиΛогенетическое Αерево из работы Α. Н. Яшиной с ΑопоΛнениями, построенное метоΑом «бΛижайшего сосеΑа» (NJ) на основе посΛеΑоватеΛьностей фрагмента М-сегмента (2737–2980 н.п.) генома хантавирусов. В узΛах ветвΛения указаны бутстреппоΑΑержки, рассчитанные ΑΛя 1000 повторов. Жирным выΑеΛены иссΛеΑованные РНК изоΛяты (Яшина 2012; Яшина и Αр. 2019) Fig. 1. Phylogenetic trees of AMRV and its natural reservoir host — the Korean field mouse Apodemus peninsulae Thomas, 1906. A. Phylogenetic tree of the Korean field mouse Apodemus peninsulae constructed by the "maximum likelihood" method (ML). The data are obtained from the analysis of the cytochrome b mtDNA gene fragments (744 bp). Bootstrap supports calculated for 1,000 repeats are indicated in the branching nodes. Colored lines indicate phylogenetic lines: two Chinese (green), Korea (blue), and Amur (red). Own samples are highlighted in bold. The names of the samples from GenBank/NCBI have been shortened; B. Phylogenetic tree from L. N. Yashina's work with additions constructed by the neighbour joining method (NJ). It is based on the sequences of an M-segment fragment (2737–2980 bp) of the hantavirus genome. Bootstrap supports calculated for 1,000 repeats are indicated in the branching nodes. The researched RNA isolates are highlighted in bold (Yashina 2012; Yashina et al. 2019) in Variability of the gene cyt b in the Korean field mouse Apodemus peninsulae Thomas, 1906 - a reservoir host of AMRV in the Khasansky District of Primorsky Krai
Рис. 1. ФиΛогенетические Αеревья хантавируса AMRV и его прироΑного носитеΛя восточноазиатской мыши Apodemus peninsulae Thomas, 1906. А. ФиΛогенетическое Αерево восточноазиатской мыши Apodemus peninsulae, построенное метоΑом «максимаΛьного правΑопоΑобия» (ML) и поΛученное на основе анаΛиза участка гена цитохрома b мтΔНК (744 п.н.). В узΛах ветвΛения указаны бутстреп-поΑΑержки, рассчитанные ΑΛя 1000 повторов. Цветными Λиниями обозначены фиΛогенетические Λинии: Αве Китайские (зеΛеный), Корейская «Korea» (синий), Амурская «Amur» (красный). ПоΛужирным шрифтом выΑеΛены собственные образцы. Названия образцов из GenBank/NCBI быΛи сокращены; B. ФиΛогенетическое Αерево из работы Α. Н. Яшиной с ΑопоΛнениями, построенное метоΑом «бΛижайшего сосеΑа» (NJ) на основе посΛеΑоватеΛьностей фрагмента М-сегмента (2737–2980 н.п.) генома хантавирусов. В узΛах ветвΛения указаны бутстреппоΑΑержки, рассчитанные ΑΛя 1000 повторов. Жирным выΑеΛены иссΛеΑованные РНК изоΛяты (Яшина 2012; Яшина и Αр. 2019) Fig. 1. Phylogenetic trees of AMRV and its natural reservoir host — the Korean field mouse Apodemus peninsulae Thomas, 1906. A. Phylogenetic tree of the Korean field mouse Apodemus peninsulae constructed by the "maximum likelihood" method (ML). The data are obtained from the analysis of the cytochrome b mtDNA gene fragments (744 bp). Bootstrap supports calculated for 1,000 repeats are indicated in the branching nodes. Colored lines indicate phylogenetic lines: two Chinese (green), Korea (blue), and Amur (red). Own samples are highlighted in bold. The names of the samples from GenBank/NCBI have been shortened; B. Phylogenetic tree from L. N. Yashina's work with additions constructed by the neighbour joining method (NJ). It is based on the sequences of an M-segment fragment (2737–2980 bp) of the hantavirus genome. Bootstrap supports calculated for 1,000 repeats are indicated in the branching nodes. The researched RNA isolates are highlighted in bold (Yashina 2012; Yashina et al. 2019)
Figure 1 in Interaction between biological aspects of Tetranychus urticae Koch (Acari: Tetranychidae) and some chemical composition in two colored Acalypha wilkesiana Müll. Arg. (Malpighiales: Euphorbiaceae) leaves
Figure 1. Graph of Pearson's correlation analysis among the different studied leaf parameters including the chemical analysis of Acalypha leaves and the T. urticae female characteristics. The colors represent variations in the obtained data. * indicates the significant at P-value <0.05.
Figure.4. Proposed system's flow chart-Single Trial Classification of Evoked EEG Signals Due to RGB Colors
<p>In this paper we proved the possibility to perform a single trial classification the EEG signals which are evoked by the RGB color stimulus. The required time to do this process is much shorter than the time which is required by any other stimulus, such as imagery and spelling words, which is presented in the previous researches. This result proves the main idea behind using colors in the next generation of BCI systems, which is based on introducing more efficient and faster systems that are able to give a quicker response than any other time. As a future work, we are going to conduct a BCI application that controls a cursor movement on PC by using those signals. This is unlike earlier BCI systems where cursor controlled movement application is controlled by the imagination of foot and hand movement, but no one has controlled it with colored stimuli before. Such study would be used to simulate an environment where a disabled person would be expected to drive a vehicle in a virtual environment with a possible uniform background, in which the vehicle will either start and/or stop moving on appearance of Green and Red lights respectively.</p>
Figure.3.Average accuracy of investigated FE methods-Single Trial Classification of Evoked EEG Signals Due to RGB Colors
<p>Each data set is recorded with 60 trails for each color from four channels, each trail contains 768 frames per channel. In order to train all the data from all channels, the trail contained 3072 frames as one vector. Then, trail by trail passed to EMD to reduce the data into a collection of intrinsic mode functions (IMF) from which the features can be extracted. Each data set represents 9 IMFs, each IMF contains lower frequency components than the previous one. In this paper, we investigate some of feature extraction methods to find out which one can give us the most reliable features. In order to know that, we trained these features with the SVM classifier and the accurate results are placed in the below tables. The classification's accurate results of the investigated feature extraction methods are shown in Figure 3. According to the accuracy of the results, we found that the best method to extract features is through the EMD residual, where the average accuracy was of 88.5% within 14 seconds. This is due to the nature of the residue as it provides the frequency representation of the delta, alpha and beta rhythms, which are the main components of ERP that respond to different color stimuli. A flow chart is inserted in Figure 4 as a summary for the used methods in this study.</p>
Figure 1. Experimental protocol-Single Trial Classification of Evoked EEG Signals Due to RGB Colors
<p>Various methods exist to enhance and pre-process EEG signals by removing different artifacts like eye movement and blinking, Electrooculography (EOG) or Electromyography (EMG). The complexity of EEG signal's representation makes it difficult to define the circle that encloses most of the data points of their total. The problem with these methods is that they work at frequency domain or time domain, but not both, which causes a loss of important data during the processing stage. The researches show that the combination of frequency and time domain information can provide more completed features that improve the classification performance of EEG signals. Empirical Mode Decomposition (EMD) has recently been developed by N. (Huang Huang et al., 1998) as an adaptive time-frequency data analysis method. It has proven to be quite versatile in a broad range of applications for extracting signals from data generated in noisy nonlinear and non- stationary processes. Wavelet Transform (WT) is also an analysis method that uses the time- frequency domain. However, EMD acts essentially as a filter bank, resembling those involved in wavelet decompositions.</p>
Colored collapse models from the non-interferometric perspective
<p>bounds.nb - Main program for the derivation of the bounds on the collaspe parameters for the colored CSL model</p>
[FABSPACE2.0] - Sentinel-2 Rome True Color
<p>Sentinel-2 product over Rome Urban Area - RBG Natural Color Composite</p>
Plate III: Figures 15-19. Lestes debellardi sp.n. (15) holotype male, pectoral color pattern, ventral view; (16) segment 10 with anal appendages, same specimen, left lateral view; (17) same, dorsal view; (18) penis of paratype, right lateral view; (19) same, ventral view. Figures 20-22. Epipleoneura lamina. (20) penis, right lateral view. (21) same, ventral view; (22) hind margin of pronotum of female taken in tandem, dorsal view. Figure 22a. Neoneura denticulata (?). hind margin of pronotum (female), dorsal view. Figures 23-24. Neoneura desana, female taken in tandem. (23) color pattern of head, dorsal view; (24) hind margin of pronotum, dorsal view in Dragonflies (Odonata) From The Sierras Of Tapirapeco And Unturan, In The Extreme South Of Venezuela
Plate III: Figures 15-19. Lestes debellardi sp.n. (15) holotype male, pectoral color pattern, ventral view; (16) segment 10 with anal appendages, same specimen, left lateral view; (17) same, dorsal view; (18) penis of paratype, right lateral view; (19) same, ventral view. Figures 20-22. Epipleoneura lamina. (20) penis, right lateral view. (21) same, ventral view; (22) hind margin of pronotum of female taken in tandem, dorsal view. Figure 22a. Neoneura denticulata (?). hind margin of pronotum (female), dorsal view. Figures 23-24. Neoneura desana, female taken in tandem. (23) color pattern of head, dorsal view; (24) hind margin of pronotum, dorsal view
Video-rate multi-color structured illumination microscopy with simultaneous real-time reconstruction (Datasets)
<p>Raw data used for figures in the paper titled "Video-rate multi-color structured illumination microscopy with simultaneous real-time reconstruction"</p>
Fig. 2 in All the better to see you with: a review of odonate color vision with transcriptomic insight into the odonate eye
Fig. 2 Image representing the body and wing coloration of damselflies (a-e). (a) Platycyphya caligata courtesy of J. Abbott. (b) Calopteryx maculata courtesy of J. Abbott. (c) An andromrophic mating wheel of Ischnura ramburii with male on top and andromorph female on the bottom. Courtesy of S. Coleman. (d) Megaloprepus coerulatus courtesy of T. Davenport. (e) An gynomrophic mating wheel of Ischnura ramburii with male on top and gynomorph female on bottom. Courtesy of S. Coleman
Fig. 1 in All the better to see you with: a review of odonate color vision with transcriptomic insight into the odonate eye
Fig. 1 Diagram of the ventral ommatidium of Sympetrum (redrawn from Armett-Kibel and Menertzhagen 1983)
Figure 1 in Haemagogus spegazzinii Brèthes, 1912 (Diptera: Culicidae) in Brazilian semiarid: resistance in eggs and scale color variation in adults
Figure 1 - Location of the collection area of Haemagogus spp. eggs in the semiarid region of northeastern Brazil. a) Map of Brazil, with Rio Grande do Norte state highlighted in red. b) Map of Rio Grande do Norte, highlighting the municipality of Currais Novos. c) Map of Currais Novos, highlighting the collection area. d) Collection area (Cânion dos Apertados) in the semiarid of Rio Grande do Norte, Brazil; Green points: positive ovitraps; Red points: negative ovitraps.
Figure 1. Pseudomops septentrionalis. A-F. Color variation. A-C. Light form. D-F. Melanic form. G in First records of Pseudomops septentrionalis Hebard, 1917 (Blattodea: Blattellidae) in Nuevo León, Mexico
Figure 1. Pseudomops septentrionalis. A-F. Color variation. A-C. Light form. D-F. Melanic form. G. Abdomen in dorsal view, showing tufts of piliform bristles in T-3 and T-4. H-J. Specimens in their natural habitat. / A-F. Variación de color. A-C. Forma clara. D-F. Forma melánica. G. Abdomen en vista dorsal, mostrando mechones de cerdas piliformes en T-3 y T-4. H-J. Espécimenes en su hábitat natural.
Figure 3 in Color and pattern variation of the Balkan whip snake, Hierophis gemonensis (Laurenti, 1768)
Figure 3. Black colored individuals of Hierophis gemonensis from the Balkans. A, B – Specimen from Danilovgrad, Montenegro (photo by A Simović); C, D – Trebeshinë Mts., Albania (E Mizsei); E - Virpazar, Montenegro (J Hill); F, G – Vlasia, Greece (E Tzoras); H – Platanovrisi, Greece (E Tzoras). For details see the Table.
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.