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Figure 15 from: Prathapan KD, Poorani J, Amritha Kumari S, Anuradha C, Padmanaban B, Thanigairaj R (2019) Species composition and diagnoses of leaf- and fruit-scarring beetles (Coleoptera, Chrysomelidae) infesting bananas and plantains (Zingiberales, Musaceae) in the Indian subcontinent. Deutsche Entomologische Zeitschrift 66(2): 179-202. https://doi.org/10.3897/dez.66.47447
Figure 15 Maximum Likelihood phylogeny of B. subcostata populations from Assam and Uttar Pradesh, India. The evolutionary history was inferred by using the Maximum Likelihood method and Tamura-Nei model. The tree with the highest log likelihood (-3489.32) is shown. The percentage of trees in which the associated taxa clustered together is shown next to the branches. Initial tree(s) for the heuristic search were obtained automatically by applying Neighbor-Join and BioNJ algorithms to a matrix of pairwise distances estimated using the Maximum Composite Likelihood (MCL) approach, and then selecting the topology with superior log likelihood value. The tree is drawn to scale, with branch lengths measured in the number of substitutions per site. This analysis involved 16 nucleotide sequences. Codon positions included were 1st+2nd+3rd+Noncoding. There was a total of 660 positions in the final dataset. Evolutionary analyses were conducted in MEGA X.
Figure 8 from: Prathapan KD, Poorani J, Amritha Kumari S, Anuradha C, Padmanaban B, Thanigairaj R (2019) Species composition and diagnoses of leaf- and fruit-scarring beetles (Coleoptera, Chrysomelidae) infesting bananas and plantains (Zingiberales, Musaceae) in the Indian subcontinent. Deutsche Entomologische Zeitschrift 66(2): 179-202. https://doi.org/10.3897/dez.66.47447
Figure 8 Naturally occurring epizootic of fungal pathogen, Beauveria bassiana on Basilepta subcostata.
Figure 14 from: Prathapan KD, Poorani J, Amritha Kumari S, Anuradha C, Padmanaban B, Thanigairaj R (2019) Species composition and diagnoses of leaf- and fruit-scarring beetles (Coleoptera, Chrysomelidae) infesting bananas and plantains (Zingiberales, Musaceae) in the Indian subcontinent. Deutsche Entomologische Zeitschrift 66(2): 179-202. https://doi.org/10.3897/dez.66.47447
Figure 14 Sphaeroderma cruenta sp. nov. a. Abdominal apex, male; b. Abdominal apex, female; c–f. Male genitalia: c. Aedeagus, lateral view; d. Aedeagus, ventral view; e. Aedeagus, dorsal view; f. Aedeagus apex, lateral view; g. Tignum; h, i. Spermatheca; j. Vaginal palpi.
Figure 13 from: Prathapan KD, Poorani J, Amritha Kumari S, Anuradha C, Padmanaban B, Thanigairaj R (2019) Species composition and diagnoses of leaf- and fruit-scarring beetles (Coleoptera, Chrysomelidae) infesting bananas and plantains (Zingiberales, Musaceae) in the Indian subcontinent. Deutsche Entomologische Zeitschrift 66(2): 179-202. https://doi.org/10.3897/dez.66.47447
Figure 13 Sphaeroderma cruenta sp. nov. Paratype (female) a. Adult, dorsal view; b. Head, dorsal view; c. Pronotum, dorsal view.
Figure 10 from: Prathapan KD, Poorani J, Amritha Kumari S, Anuradha C, Padmanaban B, Thanigairaj R (2019) Species composition and diagnoses of leaf- and fruit-scarring beetles (Coleoptera, Chrysomelidae) infesting bananas and plantains (Zingiberales, Musaceae) in the Indian subcontinent. Deutsche Entomologische Zeitschrift 66(2): 179-202. https://doi.org/10.3897/dez.66.47447
Figure 10 Bhamoina varipes (Jacoby). a, b. Dorsal view; c. Head, dorsal view; d. Pronotum, dorsal view; e. Lateral margin of pronotum.
Figure 12 from: Prathapan KD, Poorani J, Amritha Kumari S, Anuradha C, Padmanaban B, Thanigairaj R (2019) Species composition and diagnoses of leaf- and fruit-scarring beetles (Coleoptera, Chrysomelidae) infesting bananas and plantains (Zingiberales, Musaceae) in the Indian subcontinent. Deutsche Entomologische Zeitschrift 66(2): 179-202. https://doi.org/10.3897/dez.66.47447
Figure 12 Bhamoina varipes (Jacoby). a. Abdominal apex, male; b. Abdominal apex, female; c. Vaginal palpi; d. Tignum; e. Spermatheca; f–h. Male genitalia: f. Aedeagus, lateral view; g. Aedeagus, ventral view; h. Aedeagus, dorsal view.
Figure 1 from: Prathapan KD, Poorani J, Amritha Kumari S, Anuradha C, Padmanaban B, Thanigairaj R (2019) Species composition and diagnoses of leaf- and fruit-scarring beetles (Coleoptera, Chrysomelidae) infesting bananas and plantains (Zingiberales, Musaceae) in the Indian subcontinent. Deutsche Entomologische Zeitschrift 66(2): 179-202. https://doi.org/10.3897/dez.66.47447
Figure 1 Basilepta subcostata (Jacoby). a–c. Habitus, dorsal: a. Nominate form, male; b. Female; c. Rufous form, male; d. Male, lateral view; e. Female, lateral view.
Figure 11 from: Prathapan KD, Poorani J, Amritha Kumari S, Anuradha C, Padmanaban B, Thanigairaj R (2019) Species composition and diagnoses of leaf- and fruit-scarring beetles (Coleoptera, Chrysomelidae) infesting bananas and plantains (Zingiberales, Musaceae) in the Indian subcontinent. Deutsche Entomologische Zeitschrift 66(2): 179-202. https://doi.org/10.3897/dez.66.47447
Figure 11 Type of Sphaeroderma varipennis Jacoby (=B. varipes) (female). a. Dorsal view; b. Pronotum of S. varipennis; c. Anterolateral corners of pronotum (magnified).
Figure 7 from: Prathapan KD, Poorani J, Amritha Kumari S, Anuradha C, Padmanaban B, Thanigairaj R (2019) Species composition and diagnoses of leaf- and fruit-scarring beetles (Coleoptera, Chrysomelidae) infesting bananas and plantains (Zingiberales, Musaceae) in the Indian subcontinent. Deutsche Entomologische Zeitschrift 66(2): 179-202. https://doi.org/10.3897/dez.66.47447
Figure 7 Damage caused by B. subcostata (Jacoby) on banana. a. Leaf whorl showing scarring damage; b. Scars on spindle leaf; c. Scars on leaf; d, e. Scarring on leaf petiole; f. Flower damage; g. Bract damage; h–i. Damage on young fruits and emerging bunch; j–l. Fruit damage.
Figure 4 from: Postoy V, Kukhtenko H, Vyshnevska L, Gladukh I, Semchenko K (2019) Study of rheological behaviour of hydroxyethyl cellulose gels in the development of the composition and technology of the medicine with anti-inflammatory activity. Pharmacia 66(4): 187-192. https://doi.org/10.3897/pharmacia.66.e37267
Figure 4 Dependence of the shear stress (τ, Ra) of HEC gels with the PG content from the gradient of shear rate (γ, s-1) and the dependence of the structural (dynamic) viscosity (η, Ра s) on the gradient of the shear rate (τ, Ra).
Figure 3 from: Postoy V, Kukhtenko H, Vyshnevska L, Gladukh I, Semchenko K (2019) Study of rheological behaviour of hydroxyethyl cellulose gels in the development of the composition and technology of the medicine with anti-inflammatory activity. Pharmacia 66(4): 187-192. https://doi.org/10.3897/pharmacia.66.e37267
Figure 3 The dependence of the shear stress (τ, Ra) of HEC gels with PEO-400 content on the gradient of shear rate (γ, s-1) and the dependence of the structural (dynamic) viscosity (η, Ra s) on the gradient of the shear rate (τ, Ra).
Figure 5 from: Postoy V, Kukhtenko H, Vyshnevska L, Gladukh I, Semchenko K (2019) Study of rheological behaviour of hydroxyethyl cellulose gels in the development of the composition and technology of the medicine with anti-inflammatory activity. Pharmacia 66(4): 187-192. https://doi.org/10.3897/pharmacia.66.e37267
Figure 5 The dependence of the shear stress (τ, Ra) of the combined gel with test composition, Troxerutin and Thiotriazolinum on the gradient of shear rate (γ, s-1) and the dependence of the structural (dynamic) viscosity (η, Ra s) on the gradient of the shear rate (τ , Ra).
Figure 2 from: Postoy V, Kukhtenko H, Vyshnevska L, Gladukh I, Semchenko K (2019) Study of rheological behaviour of hydroxyethyl cellulose gels in the development of the composition and technology of the medicine with anti-inflammatory activity. Pharmacia 66(4): 187-192. https://doi.org/10.3897/pharmacia.66.e37267
Figure 2 The dependence of the shear stress (τ, Ra) of HEC gels with the content of PEG-40 hydrogenated castor oil on the gradient of shear rate (γ, s-1) and the dependence of the structural (dynamic) viscosity (η, Ra s) on the gradient of the shear rate (τ, Ra).
Figure 1 from: Postoy V, Kukhtenko H, Vyshnevska L, Gladukh I, Semchenko K (2019) Study of rheological behaviour of hydroxyethyl cellulose gels in the development of the composition and technology of the medicine with anti-inflammatory activity. Pharmacia 66(4): 187-192. https://doi.org/10.3897/pharmacia.66.e37267
Figure 1 The dependence of the shear stress (τ, Ra) of the HEC gelson the gradient of the shear rate (γ, s-1) and the dependence of the structural (dynamic) viscosity (η, Ра s) on the gradient of the shear rate (τ, Ra).
Supplementary material 1 from: Wolf J, Haase D, Kühn I (2020) The functional composition of the neophytic flora changes in response to environmental conditions along a rural-urban gradient. NeoBiota 54: 23-47. https://doi.org/10.3897/neobiota.54.38898
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Models to calculate composite indicators (Berga and Sutri). HISMACITY Protocol.
<p>Models to calculate composite indicators (Berga and Sutri). HISMACITY Protocol. The folder and .gdb files with the names: Attractiveness and Convertibility contain the data for Tourist Efficiency and Transformability indexes.</p>
IODP Expedition 361 Interstitial water composite report
<p>This composite report includes data from numerous interstitial water (IW) analyses (e.g., ICP-LIQUIDS and IONCHROM) in a variable set of columns. Each row combines the data from several tests (groups of measurements made on the same sample at the same time) for a particular IW sample. If data do not exist for a particular expedition, the column does not appear. To identify individual samples and tests, see each separate analysis (ALKALINITY, ICP-LIQUIDS, IONCHROM, SALINITY, SPECTRO, TITRATOR, and potentially others). Major and minor elements were determined by inductively coupled plasma-atomic emission spectrocsopy (ICP-LIQUIDS). Cations and anions were measured by ion chromatography (IONCHROM). Complex ions were measured by colorimetric measurements using a UV-VIS spectrometer (SPECTRO). Alkalinity and chloride was measured by titration (ALKALINITY and TITRATOR). Dissolved carbon (DC), dissolved inorganic carbon (DIC), and dissolved organic carbon (DOC) were measured by combustion in a total organic carbon (TOC) analyzer. Salinity was measured by refractometer (SALINITY). pH was measured by ion-selective electrode as part of the alkalinity procedure and is reported in the ALKALINITY analysis.</p>
Morphing composite cylindrical lattices: enhanced modelling and experiments
<p>Advanced composite materials enable the development of lightweight and stiff deployable structures that have significant potential for the space sector. In particular, the morphing cylindrical lattice can deploy from a small cylinder to one that is substantially thinner and longer, and is particularly suited for deploying solar arrays or antennae. The morphing behaviour of the lattice stems from the nonlinear strain energy state obtained from prestressing strips of orthotropic material. Current analytical models used to describe the behaviour of morphing lattices only consider bending strains in the strain energy formulation. This paper extends the state-of-the-art modelling techniques by including both transverse curvature and membrane strains, associated with non-zero Gaussian curvature, in the strain energy formulation. Transverse curvatures in tandem with longitudinal curvatures lead to the development of membrane strains, giving a complex interplay between membrane and bending strain energies and their combined effect on morphing properties of the lattice providing a rich tailorable nonlinear response. The analytical model developed is compared against finite element modelling and the first experimental results reported for such multistable composite helical lattices, showing good agreement over a range of designs.</p> <p> </p> <p>Related publications/conference objects:</p> <p>C. McHale, D. A. Hadjiloizi, R. Telford and P. M. Weaver, " The Significance of Transverse Curvature and Membrane Strains in Modelling of Morphing Composite Lattice Structures", MECHCOMP 2019, Lisbon, Portugal</p> <p>C. McHale, D. A. Hadjiloizi, R. Telford and P. M. Weaver, "Morphing composite cylindrical lattices: enhanced modelling and experiments" Journal of the Mechanics and Physics of Solids, p. (2nd Review), 2019</p>
Fig. 3 in Composition, density and biomass of fish community from the surf zone as a function of the lunar cycle at Miramar Beach in Cabedelo, Paraíba
Fig. 3. Redundancy analysis (RDA) for the density (ind. ha-1) of the most representative species in Miramar Beach, Cabedelo. (TEMP= temperature; SAL= salinity; TURB= surbidity; COND= conductivity e PH= hidrogen potential. (Atr = Anchoa tricolor; Acl = Anchovia clupeoides; Cla = Caranx latus; Csp = Cathorops spixii; Cno = Conodon nobilis; Pco = Haemulopsis corvinaeformis; Pvi = Polydactylus virginicus; Larbre = Larimus breviceps; Svo = Selene vomer; Sbr = Stellifer brasiliensis; Tfa = Trachinotus falcatus; Tgo = Trachinotus goodei). Lunar phase and sampling areas (CRA1 - crescent/ area 1; CRA2 -crescent/ area 2; NA1 -New/ area 1; NA2 -New / area 2; CHA1 - Full/ area 1; CHA2 -Full/ area 2; MA1 -Waning/ area 1; MA2 -Waning/ area 2).
Fig. 2 in Composition, density and biomass of fish community from the surf zone as a function of the lunar cycle at Miramar Beach in Cabedelo, Paraíba
Fig. 2. Mean + Standard Error (SE) of number of species, total density (ind.ha-1) and biomass (g.ha-1) of fishes as a function of the lunar phases from left to right in the horizontal axes (crescent, full, weaning and new moon).
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.