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1,918 results for “molecular evidence”
FIGURE 2. The 50 in Diplazoptilon (Asteraceae) is merged with Saussurea based on evidence from morphology and molecular systematics
FIGURE 2. The 50% majority rule consensus tree derived from Bayesian analysis of the combined nuclear ITS and plastid trnL-F and psbA-trnH sequences. Numbers above branches are Posterior probabilities, and Bootstrap support values from MP/ML analyses are given below branches receiving>50% values in both analyses.
FIGURE 1 in Diplazoptilon (Asteraceae) is merged with Saussurea based on evidence from morphology and molecular systematics
FIGURE 1. SEM morphology of Diplazoptilon picridifolium. A. achene; B. the apical rim of achene; C. the surface of the achene; D. the reticulate ornamentations of pollen; E. the equatorial plane of pollen; F. pappus.
FIGURE 3. Saussurea picridifolia. A in Diplazoptilon (Asteraceae) is merged with Saussurea based on evidence from morphology and molecular systematics
FIGURE 3. Saussurea picridifolia. A. habit; B. anther; C. pappus; D. style branches; E. floret; F. achene; G. inner pappus bristle; H. outer pappus bristle; I. phyllaries (from left to right, inner to outer series). All from FLPH Tibet Expedition 12-1382(PE). Drawn by Mrs. Z. J. Chen.
FIGURE 2 in A new species of Maytenus (Celastraceae) from the Brazilian Atlantic Forest, with evidence of molecular phylogeny, and two new synonyms for Maytenus floribunda
FIGURE 2. Maximum-likelihood tree (GTRGAMMA model) with bootstrap support percentages (only ≥ 50% are shown) above branches or at left.
FIGURE 1 in A new species of Maytenus (Celastraceae) from the Brazilian Atlantic Forest, with evidence of molecular phylogeny, and two new synonyms for Maytenus floribunda
FIGURE 1. The strict consensus from three trees based on the nrITS and matK (792 steps, CI = 0.44 and RI = 0.58) for 22 taxa analysed by maximum parsimony, with bootstrap support percentages (only ≥ 50% are shown) above branches.
FIGURE 3 in A new species of Maytenus (Celastraceae) from the Brazilian Atlantic Forest, with evidence of molecular phylogeny, and two new synonyms for Maytenus floribunda
FIGURE 3. Maytenus nemorosa. Habit, with an opened fruit exposing one seed and aril [Rossini et al. 466 (HRCB)].
FIGURE 3 in Morphological and molecular evidence for a new species of Russula (Russulaceae) from southern China
FIGURE 3 Basidiospores of Russula subrutilans (Holotype). Photo by a Scanning electron microscope (SEM, JSM-6510LV).
FIGURE 2 in Morphological and molecular evidence for a new species of Russula (Russulaceae) from southern China
FIGURE 2 Russula subrutilans (Holotype RITF1874). A Basidiomata; B Basidia; C Cheilocystidia; D Pleurocystidia; E Caulocystidia; F Pileipellis; G Pileocystidia
FIGURE 1 in Morphological and molecular evidence for a new species of Russula (Russulaceae) from southern China
FIGURE 1 One of 100 RAxML likelihood trees (–In L 5048.098170) based on the ITS dataset. Support values in boldface are RAxML likelihood bootstrap (≥70%). Values in normal type are Bayesian posterior probabilities (≥0.95).
FIGURE 2. Petrocodon hunanensis X. L in Petrocodon hunanensis (Gesneriaceae), a new species identified by both morphological and molecular evidence from limestone area in Hunan, China
FIGURE 2. Petrocodon hunanensis X. L. Yu & Ming Li, sp. nov. (Drawn by Jing Tian): (A) plant with flowers, (B) calyx, (C) opened corolla showing stamens and staminodes, (D) pistil, (E) capsule.
FIGURE 3. Petrocodon hunanensis X. L in Petrocodon hunanensis (Gesneriaceae), a new species identified by both morphological and molecular evidence from limestone area in Hunan, China
FIGURE 3. Petrocodon hunanensis X. L. Yu & Ming Li, sp. nov.: (a) habitat, (b) and (c) mature plant in the wild, (d) lateral view of flower, (e) opened corolla showing stamens and staminodes, (f) pistil, (g) calyx and disc, (h) seed, (i) young fruit.
FIGURE 1 in Petrocodon hunanensis (Gesneriaceae), a new species identified by both morphological and molecular evidence from limestone area in Hunan, China
FIGURE 1. One of eight most parsimonious trees generated from analysis of combined ITS and trnL-F data for all sampled taxa. Bootstrap (BS) values are on the left side of the slash and Bayesian posterior probabilities (PP) on the right. The asterisk indicates no support. The bold indicates the new species, Petrocodon hunanensis X. L. Yu & Ming Li.
FIGURE 7 in Taxonomic evaluation of Miscanthus nudipes (Poaceae) based on morphological and molecular evidence
FIGURE 7. Neighbor-joining (NJ) tree and principal coordinate analysis (PCoA) of Miscanthus nudipes populations based on SSR data.
FIGURE 6 in Taxonomic evaluation of Miscanthus nudipes (Poaceae) based on morphological and molecular evidence
FIGURE 6. Hierarchical cluster analysis and PCA based on morphological data of 72 herbarium specimens of Miscanthus nudipes. Black circles represent specimens from the Himalayas, gray squares represent specimens from Hengduan Mountains.
FIGURE 4 in Taxonomic evaluation of Miscanthus nudipes (Poaceae) based on morphological and molecular evidence
FIGURE 4 (Part 1). Box-and-whisker charts of sample count distribution in 12 quantitative characters: number of panicle axis nodes (NAN), number of spikelets (SpNo), length of panicle (InfL), width of panicle (InfW), spikelet density (Psp), length of panicle axis (AxisL), ratio for axis length divided by panicle length (AI), distance between first and second axis node (AD12), distance between second and third axis node (AD23), average number of first branch (ANu), average length of first branch (AL) and average distance between spikelet pairs (ASD). Population codes are m01 to m15 from left to right. Gray boxes represent the Himalayas populations; white boxes represent Hengduan Mountains populations. The four quantitative characters whose morphological variation ranges have been described previously (Keng 1959, Liu 1997, Sun et al. 2010) are marked by light gray shadows and values of holotypus (① D. ramosus, ② D. tibeticus, ③ D. eulalioides and ④ D. corymbosus) are marked by red lines.
FIGURE 1 in Taxonomic evaluation of Miscanthus nudipes (Poaceae) based on morphological and molecular evidence
FIGURE 1. Distribution of M. nudipes populations sampled in this study. Three triangles are populations from the Himalayas; one is in Yadong and the other two are close together in Nyingchi. Squares are populations from Hengduan Mountains, and dots are specimens.
FIGURE 2 in Taxonomic evaluation of Miscanthus nudipes (Poaceae) based on morphological and molecular evidence
FIGURE 2. Column charts of sample count distribution in nine qualitative characters: hairiness of peduncle (BICuH), hairiness of panicle axis (AxH), hairiness of panicle branch (BrH), color of callus hairs (ACaHCo), shape of lower glume apex (AXD), color of glumes (AGlC), hairs of back of the lower glume (AFGH), texture of the lower lemma (AFLC) andhairs of back of the lower lemma (AFLH). Population codes are m01 to m15 from left to right. Gray columns represent the Himalayas populations; white columns represent Hengduan Mountains populations. The 0 and 1 on the x-axis refer to the two character states in Table 3.
FIGURE 4 in Taxonomic evaluation of Miscanthus nudipes (Poaceae) based on morphological and molecular evidence
FIGURE 4 (Part 2). Box-and-whisker charts of sample count distribution in 12 quantitative characters: average length of spikelet (ASpL), average width of spikelet (ASpW), average size of spikelet (ASpS), average length of longer pedicel (ARu), average length of shorter pedicel (ARd), the ratio of callus hair length to spikelet length (AFC), average length of awn (ALA), average length of lower glume (AFUGL), average width of lower glume (AFUGW), size of lower glume (SFUG), average length of upper glume (AFLLL) and average width of upper glume (AFLLW). Population codes are m01 to m15 from left to right. Gray boxes represent the Himalayas populations; white boxes represent Hengduan Mountains populations. The six quantitative characters whose morphological variation ranges have been described previously (Keng 1959, Liu 1997, Sun et al. 2010) are marked by light gray shadows and values of holotypus (① D. ramosus, ② D. tibeticus, ③ D. eulalioides and ④ D. corymbosus) are also marked by red lines.
FIGURE 5 in Taxonomic evaluation of Miscanthus nudipes (Poaceae) based on morphological and molecular evidence
FIGURE 5. Population analyses of morphological characters of Miscanthus nudipes. A. Hierarchical cluster analysis. B. PC1 × PC2 of principal component analysis (PCA). C. PC1 × PC3 of PCA based on morphological data.
FIGURE 4 in Taxonomic evaluation of Miscanthus nudipes (Poaceae) based on morphological and molecular evidence
FIGURE 4 (Part 3). Box-and-whisker charts of sample count distribution in 15 quantitative characters: size of upper glume (SFLL), size of glume (SFG), average length of lower lemma (AFUPL), average width of lower lemma (AFUPW), size of lower lemma (SFUP), average length of upper lemma (AFULL), average width of upper lemma (AFULW), size of upper lemma (SFUL), size of lemma (SFP), average length of palea (AFLGL), average width of palea (AFLGW), size of palea (SFLG), average length of caryopsis (ASL), average width of caryopsis (ASW) and size of caryopsis (SSize). Population codes are m01 to m15 from left to right. Gray boxes represent the Himalayas populations; white boxes represent Hengduan Mountains populations. The two quantitative characters whose morphological variation ranges have been described previously (Keng 1959, Liu 1997, Sun et al. 2010) are marked by light gray shadows and values of holotypus (① D. ramosus, ② D. tibeticus, ③ D. eulalioides and ④ D. corymbosus) are also marked by red lines.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.