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Fig. 1. Map showing the localities where Acropora corals were sampled during the first Snellius expedition, numbers correspond with Table 1 in The Acropora Humilis Group (Scleractinia) Of The Snellius Expedition (1929-30)
Fig. 1. Map showing the localities where Acropora corals were sampled during the first Snellius expedition, numbers correspond with Table 1.
Text-fig. 9. Phylogenetic tree indicating the number of required character state changes (steps) under parsimony for various positions of Miranthus gen. nov. in a molecular based backbone tree (see material and methods for additional details). in Early Flowers Of Primuloid Ericales From The Late Cretaceous Of Portugal And Their Ecological And Phytogeographic Implications
Text-fig. 9. Phylogenetic tree indicating the number of required character state changes (steps) under parsimony for various positions of Miranthus gen. nov. in a molecular based backbone tree (see material and methods for additional details).
Fig. 5. Combined tree from Fig. 4 with mapped morphological characters. Numbers above branches represent characters from Table 3. Mapped using WinClada ver. 1.61 in A revision of Scipopus Enderlein including the subgenera Scipopus s. str., Phaeopterina Frey and Parascipopus subgen. nov. (Diptera, Micropezidae, Taeniapterinae)
Fig. 5. Combined tree from Fig. 4 with mapped morphological characters. Numbers above branches represent characters from Table 3. Mapped using WinClada ver. 1.61 (Nixon 1999–2002) with unambiguous characters only.
Data associated to the paper "Phase diagram detection via Gaussian fitting of number probability distribution"
<p>We investigate the number probability density function that characterizes subportions of a quantum many-body system with globally conserved number of particles. We put forward a linear fitting protocol capable of mapping out the ground-state phase diagram of the rich one-dimensional extended Bose-Hubbard model: The results are quantitatively comparable with more sophisticated traditional and machine learning techniques. We argue that the studied quantity should be considered among the most informative bipartite properties, being moreover readily accessible in atomic gases experiments.<br><br>The dataset contains the entanglement spectra of several configurations of the extended Bose-Hubbard model ground state for different systems' sizes. </p>
Fig. 2 in Dependence of spermatophore size and sperm number on body weight in various cricket species (Insecta, Orthoptera)
Fig. 2: Linear regression analyses elucidating possible relationships between ampulla diameter and body weight (a) as well as between number of sperm and ampulla diameter (b). Data obtained for all investigated cricket species have been plotted (N = 80).
Fig. 1 in Dependence of spermatophore size and sperm number on body weight in various cricket species (Insecta, Orthoptera)
Fig. 1: General appearance of the spermatophore produced by males of the four cricket species investigated for this study (STURM 2003): (a) overview of a spermatophore with its spermcontaining ampulla (amp) and attachment plate (ap); (b) main components of the ampulla: apical papilla (pap), outer membrane (om), inner membrane (im), sperm mass (spm), and spermatphore tube (spt); (c) electron micrograph exhibiting the internal structure of a spermatophore (il: inner layer); (d) detailed view on the sperm mass included into the ampulla (spf: sperm flagella).
Solitary foundation or colony fission in ants: an intraspecific study shows that worker presence and number increase colony foundation success
<p>Datasets for the paper published in Oecologia entitled "Solitary foundation or colony fission in ants: an intraspecific study shows that worker presence and number increase colony foundation success"</p> <p>Script_article.R : R code to analyze the data</p> <p>Data.txt : Growth data</p> <p>donnees_survie.txt : Survival data</p> <p>donnees_presence_nid.txt : Data of the presence of queens in the nest</p>
Supporting Dataset (Tables S1-S7, Figure S1) for "Heavy-mineral grain counting: Counting techniques, error estimation, and the number of grains to be counted"
<p>This Dataset comprises Tables S1-S7 for the article <strong>"Heavy-mineral grain counting: Counting techniques, error estimation, and the number of grains to be counted"</strong> authored by Jan Schönig and submitted to J<em>ournal of Geophysical Research: Earth Surface</em>.</p> <p>Figure S1: Error of different counting methods in comparison with theory and without considering the finite population correction</p> <p>Table S1: Heavy-mineral dataset from semi-automated Raman analysis</p> <p>Table S2: Summary of heavy-mineral composition for individual samples in percent</p> <p>Table S3: Computed ribbon compositions for individual samples and ribbon sizes given in numbers of counts</p> <p>Table S4: Relative errors at 95 % quantile for consecutive ribbon counting simulations</p> <p>Table S5: Relative errors at 95 % quantile for maximum distance ribbon counting simulations</p> <p>Table S6: Relative errors at 95 % quantile for cluster counting simulations</p> <p>Table S7: Numerical solution for determining the number of counts required to discriminate the content of two mineral species in an aliquot</p>
R scripts, input and output data for: Season of death, pathogen persistence and wildlife behaviour alter number of anthrax secondary infections from environmental reservoirs
<p>An important part of infectious disease management is predicting factors that influence disease outbreaks, such as <em>R</em>, the number of secondary infections arising from an infected individual. Estimating <em>R</em> is particularly challenging for environmentally transmitted pathogens given time lags between cases and subsequent infections. Here, we calculated <em>R</em> for <em>Bacillus anthracis</em> infections arising from anthrax carcass sites in Etosha National Park, Namibia. Combining host behavioural data, pathogen concentrations, and simulation models, we show that <em>R</em> is spatially and temporally variable, driven by spore concentrations at death, host visitation rates and early preference for foraging at infectious sites. While spores were detected up to a decade after death, most secondary infections occurred within two years. Transmission simulations under scenarios combining site infectiousness and host exposure risk under different environmental conditions led to dramatically different outbreak dynamics, from pathogen extinction (<em>R</em><1) to explosive outbreaks (<em>R</em>>10). These transmission heterogeneities may explain variation in anthrax outbreak dynamics observed globally, and more generally, the critical importance of environmental variation underlying host-pathogens interactions. Notably, our approach allowed us to estimate the lethal dose of a highly virulent pathogen non-invasively from observational studies and epidemiological data, useful when experiments on wildlife are undesirable or impractical.</p>
SNSPD traces given varying incident mean photon numbers
<p>The data set consists of 1.1 million electrical output signals (traces) from a superconducting nanowire single-photon detector (SNSPD) from Single Quantum. These traces were recorded with an oscilloscope (21 GHz bandwidth, 128GSa/s) for varying incident mean photon numbers between 0.5 and 5 in steps of 0.5 photons per pulse (generated with a laser, i.e., coherent states). More information can be found in the accompanying publication.</p>
Fig.ç4.Ec hinoderes ohtsukai sp. nov., paratype, female (ZIHU 3983), scanning electron micrographs. A, Mouth cone, lateral view; B, introvert, lateral view. Abbreviations: oo, outer oral styles; sc, scalids; sp, spinoscalids; tr, trichoscalids. Digits a er the labels refer to introvert ring numbers. in A New Brackish-water Species of Echinoderes (Kinorhyncha: Cyclorhagida) from the Seto Inland Sea, Japan
Fig.ç4.Ec hinoderes ohtsukai sp. nov., paratype, female (ZIHU 3983), scanning electron micrographs. A, Mouth cone, lateral view; B, introvert, lateral view. Abbreviations: oo, outer oral styles; sc, scalids; sp, spinoscalids; tr, trichoscalids. Digits a er the labels refer to introvert ring numbers.
Figure 2 in Effects of methyl farnesoate injection on spermatozoa number and reproductive indices in the narrow-clawed crayfish Pontastacus leptodactylus
Figure 2. Effect of MF injection on reproductive system weight and GSI in male Pontastacus leptodactylus. Letters indicate significant difference groupings (P <0.05) (mean ± S.D; n = 15).
Figure 7 in Updates on the classification and numbers of marine fungi
Figure 7: Rhytidhysteron bruguierae. (A–C) Appearance of hysterothecia on host. (D, E) Vertical section through hysteriothecium. (F, G) Cells of peridium. (H, I) Pseudoparaphyses, asci, and ascospores. (I) Stained with lactophenol cotton blue. (J–O) Ascospores. Scale bars: (A) = 1 mm, (B–E) = 200 μm, (F–I) = 50 μm, (J–O) = 5 μm.
Figure 6 in Updates on the classification and numbers of marine fungi
Figure 6: Phylogram generated from maximum likelihood (ML) analysis based on combined LSU, ITS, and act1 sequence data representing Sarocladiaceae (Hypocreales). Thirty-seven strains are included in the combined analyses which comprised 1753 characters (504 characters for LSU, 478 characters for ITS, 771 characters for act1) after alignment. Acremonium variecolor strains CBS 130360 and FMR 11141 in Bionectriaceae (Hypocreales) were used as the outgroup taxa. The best scoring RAxML tree with a final likelihood value of −8526.836 is presented. The matrix had 435 distinct alignment patterns, 356 parsimony-informative, 73 singleton sites, and 1332 constant sites. Estimated base frequencies were as follows: A = 0.216, C = 0.298, G = 0.265, T = 0.221; substitution rates: AC = 2.09479, AG = 3.08268, AT = 2.09479, CG = 1.00000, CT = 10.05849, GT = 1.000000; gamma distribution shape parameter α = 0.574. Bootstrap support values for ML equal to or greater than 75 % are given above the nodes (left side). Bayesian posterior probabilities (BYPP) equal to or greater than 0.95 are given above the nodes (right side). Ex-type strains are in bold and newly generated sequences are in blue.
Figure 5 in Updates on the classification and numbers of marine fungi
Figure 5: Colony of Remispora submersa (MUM 20.48) in malt extract agar (MEA) for 7 days at 25 °C: (A) obverse, (B) reverse.
Figure 8 in Updates on the classification and numbers of marine fungi
Figure 8: Savoryella sarushimana. (A–C) Holoblastic conidiogenous cells. (D–J) Variously shaped conidia. Note the proliferating conidia in (D, H). Scale bar = 10 μm.
Figure 3 in Updates on the classification and numbers of marine fungi
Figure 3: Randomized axelerated maximum likelihood (RAxML) phylogenetic tree based on a combined analysis of the 28S and 18S rRNA sequence data. Bootstrap support values for ML (>70 %) are given above each branch. The newly transferred isolate is shown in blue. The tree is rooted to Ceratocystis adiposa CCFC212707.
Figure 4 in Updates on the classification and numbers of marine fungi
Figure 4: Monosporascus cannonballus. (A) Oil globules realised from squashed ascospore. (B) Ascus with single globose ascospore. (C) Thick-walled ascospore. (D) Ascus with three globose ascospores. (E, F) Released ascospores around the projecting neck of the ascoma. Scale bars: (A–D) = 20 μm, (E–F) = 300 μm.
Figure 2 in Updates on the classification and numbers of marine fungi
Figure 2: Microascus cinereus. (A–I) Asci. (J–N, P) Ascospores. (O, Q, R) Anamorphic Scopulariopsis cinerea of Microascus cinereus. Scale bars: (A–D, K, M, P–Q) = 20 μm, (E–J, L, N–O, R) = 10 μm.
Figure 1 in Updates on the classification and numbers of marine fungi
Figure 1: Microascus trigonosporus. (A–E) Perithecia with spore cirrus. (F) Young ascus. (G, H, O) Mature asci. (I–L) Ascospores. (M, N) Anamorphic Scopulariopsis trigonosporus of Microascus trigonosporus. Scale bars: (A–E) = 100 μm, (G, H, O) = 20 μm, (F, I–N) = 10 μm.
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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.