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Fig. 2. Anther morphology showing the diagnostic characters for the three subfamilies. A in A new classification of the South African endemic family Bruniaceae based on molecular and morphological data
Fig. 2. Anther morphology showing the diagnostic characters for the three subfamilies. A, Linconieae with anthers ending apically in a conspicuous sterile tip; B, Audouinieae with anthers lacking the sterile tip; thecae connate along their entire length; C, Brunieae with versatile anthers, sterile tip lacking (after Quint & Classen-Bockhoff, 2006a).
Fig. 4 in A new classification of the South African endemic family Bruniaceae based on molecular and morphological data
Fig. 4. Stomata with (A) and without (B) cuticular rim. A, Linconia alopecuroidea; B, Brunia pentandra. The presence of a cuticular rim appears to be a symplesiomorphy for Linconia, Audouinia (incl. Tittmannia), and Thamnea teres (syn. Pseudobaeckea teres).
Fig. 1 in A new classification of the South African endemic family Bruniaceae based on molecular and morphological data
Fig. 1. The new classification referred to the strict consensus tree of two trees (after Quint & Classen-Bockhoff, 2006a), based on matK sequence data of 65 taxa of Bruniaceae and two Columelliaceae (outgroup). Maximum likelihood; Bootstrap values ≥ 50% are indicated above branches. Species are named according to Pillans (1947).
Fig. 3 in A new classification of the South African endemic family Bruniaceae based on molecular and morphological data
Fig. 3. Flower and inflorescence arrangement showing the diagnostic features for the several genera and species (see Classen-Bockhoff, 2000). Flowers (circles) are either solitary (A–C) or arranged in closed (terminal flower present: D, E) or open (terminal flower absent: F–H) head-like ra- cemes. The solitary flowers are either terminal on bracteate short-shoots (A, B) or terminal and lateral on frondose shoots (C). The inflorescences are lateral (E), lateral and terminal (D, F) or terminal (G, H). Note that the sympodial units (particularly in A, B, E) may grow for several seasons then being connected by monopodial inserts. iz, innovation zone; black: basic flowering unit.
FIGURE 2 in Morphological and molecular data reveal a new species of Amanita section Vaginatae (Amanitaceae) from India
FIGURE 2. Amanita sharmae (AKA-13 holotype). (a–e) Young and mature basidiomata in the field. (f) Basidia. (g) Basidiospores in Congo red. (h) Volval elements. (i–j) Pileipellis. Scale bars: a–c = 20 mm; f–i =10 μm; j = 20 μm; k = 10 μm. Photos by Anil Kumar.
FIGURE 1 in Morphological and molecular data reveal a new species of Amanita section Vaginatae (Amanitaceae) from India
FIGURE 1. Phylogram generated by Bayesian analysis based on combined sequence data of nrITS and nrLSU for Amanita sharmae and allied species. Maximum likelihood bootstrap support values (MLBs) ≥ 70% are shown on the right of "/" and Bayesian posterior probabilities (BPP) ≥0.95 are shown on the left above or below the branches at nodes. Amanita sharmae is in bold red font to highlight its phylogenetic positions in the tree.
FIGURE 3 in Morphological and molecular data reveal a new species of Amanita section Vaginatae (Amanitaceae) from India
FIGURE 3. Microscopic features of Amanita sharmae (AKA-13 holotype). (a) Basidia. (b) Basidiospores. (c) Longitudinal section of volval elements from stipe base. (d) Pileipellis. Scale bars: a–b =10 μm; c = 20 μm d =10 μm. Drawings by Anil Kumar.
Yu_et_al_2023_molecular_dynamics_simulation_data
<p>The molecular dynamics simulation data set accompanying Yu et al, 2023, containing (i) representative coordinates and measurements described therein, (ii) selected simulation trajectories, and (iii) LAMMPS input files.</p>
Quantum state resolved molecular dipolar collisions over four decades of energy - online data
<p>Data for submission of "Quantum state resolved molecular dipolar collisions over four decades of energy"</p> <p>Authors:</p> <p>Guoqiang Tang<sup>1</sup>, Matthieu Besemer<sup>1</sup>, Stach Kuijpers<sup>1</sup>, Gerrit C. Groenenboom<sup>1</sup>,<br> Ad van der Avoird<sup>1</sup>, Tijs Karman<sup>1</sup>**, Sebastiaan Y.T. van de Meerakker<sup>1</sup>**</p> <p><sup>1</sup>Radboud University, Institute for Molecules and Materials<br> Heijendaalseweg 135, 6525 AJ Nijmegen, the Netherlands</p> <p>**To whom correspondence should be addressed;<br> E-mail: basvdm@science.ru.nl, t.karman@science.ru.nl</p>
Source Data for "Shape control in 2D molecular nanosheets by tuning anisotropic intermolecular interactions and assembly kinetics"
<p>This folder contains source data for figures of the paper "Shape control in 2D molecular nanosheets by tuning intermolecular interactions and assembly kinetics" (https://doi.org/10.1038/s41467-023-37203-7).</p>
Data set for graphene/GO polymer molecular dynamics simulation
<p>Lammps input files and log files for molecular dynamics simulations of graphene and graphene-oxide nano ribbons for paper "Molecular dynamics reveals the origin of the enhancement of polymer properties by graphene". Log files include stress-strain behaviour during uniaxial strain. </p> <p> </p>
Anti-cytokine storm activity of fraxin and quercetin, alone and in combination, and their possible molecular mechanisms via TLR4 and PPARγ signaling pathways in LPS-induced RAW 264.7 cell line article data
<p>Anti-cytokine storm activity of fraxin and quercetin, alone and in combination, and their possible molecular mechanisms via TLR4 and PPARγ signaling pathways in LPS-induced RAW 264.7 cell line article data</p>
Anti-cytokine storm activity of fraxin and quercetin, alone and in combination, and their possible molecular mechanisms via TLR4 and PPARγ signaling pathways in LPS-induced RAW 264.7 cell line article data
<p>Anti-cytokine storm activity of fraxin and quercetin, alone and in combination, and their possible molecular mechanisms via TLR4 and PPARγ signaling pathways in LPS-induced RAW 264.7 cell line article data</p>
Fig. 5 in Cryptic species in Glossophaga soricina (Chiroptera: Phyllostomidae): do morphological data support molecular evidence?
Fig. 5.—Ordination plots for the first two canonical axes from the ventral region of the skull and the mandible, with deformation grids derived from each canonical axis.
Fig. 1 in Cryptic species in Glossophaga soricina (Chiroptera: Phyllostomidae): do morphological data support molecular evidence?
Fig. 1.—Map showing sites sampled for morphometric data within the distribution of the five subspecies of Glossophaga soricina: 1. G. s. antillarum; 2. G. s. handleyi; 3. G. s. mutica; 4. G. s. soricina; 5. G. s. valens. The dots indicate the sampling localities from which morphological data were obtained.
Fig. 3 in Cryptic species in Glossophaga soricina (Chiroptera: Phyllostomidae): do morphological data support molecular evidence?
Fig. 3.—Deformation grid showing vector displacements of the landmarks of the configuration of the mandible from the male mean shape to the female mean shape in the subspecies with the largest distance between mean shapes: Glossophaga soricina mutica. Deformation grids were exaggerated by a factor of 2 to improve visualization.
Fig. 2 in Cryptic species in Glossophaga soricina (Chiroptera: Phyllostomidae): do morphological data support molecular evidence?
Fig. 2.—Four configurations of landmarks registering the shape of two lateral skull modules (A: fronto-maxillary region; B: parietooccipital region); one ventral module (C); and one lateral mandible module (D). Landmark positions are shown by circles with white filling; semilandmarks are depicted by circles with gray filling. See Supplementary Data SD1 for description of landmarks.
FIG. 2 in A Molecular Systematic Study of the Lampranthus Group (Aizoaceae) Based on the Chloroplast TrnL-trnF and Nuclear ITS and 5S NTS Sequence Data
FIG. 2. Strict consensus tree of the 30,000 most parsimonious trees based on the combined trnL-F, ITS and 5S spacer sequence data recovered during simultaneous analysis 1 (not weighted) including 58 taxa; Length = 524, CI = 0.479, RI = 0.601, RC = 0.288. Values above the internodes give the jackknife values. Members of the Lampranthus group are underlined.
FIG. 1 in A Molecular Systematic Study of the Lampranthus Group (Aizoaceae) Based on the Chloroplast TrnL-trnF and Nuclear ITS and 5S NTS Sequence Data
FIG. 1. Strict consensus tree of the 30,000 most parsimonious trees based on the 5S spacer sequence data recoverd during heuristic Search 3 for 56 taxa; Length = 231, CI = 0.519, RI = 0.743, RC = 0.386. Values above the internodes give the jackknife values (where absent, the jackknife values are less than 50%). Members of the Lampranthus group are underlined.
FIG. 3 in A Molecular Systematic Study of the Lampranthus Group (Aizoaceae) Based on the Chloroplast TrnL-trnF and Nuclear ITS and 5S NTS Sequence Data
FIG. 3. Strict consensus tree of the 167 most parsimonious trees based on the combined and successively weighted trnL-F, ITS and 5S spacer sequence data recovered during simultaneous analysis 4 including 51 taxa; CI = 0.599, RI = 0.841, RC = 0.504. Values above the internodes give the jackknife values. Members of the Lampranthus group are underlined.
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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.