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Figure 9 in Vicariant versus dispersal processes in the settlement of Pseudamnicola (Caenogastropoda, Hydrobiidae) in the Mediterranean Balearic Islands
Figure 9. Ctenidium, osphradium, and rectum (first row) and stomach (second row) of the Majorcan species: A, D, Pseudamnicola (Pseudamnicola) beckmanni from El Rentador Spring, Deyá. B, E, Pseudamnicola (Pseudamnicola) granjaensis from La Granja, Esporles. C, F, Pseudamnicola (Pseudamnicola) artanensis from a ditch near Betlem Hermitage, Artá.
Figure 4 in Vicariant versus dispersal processes in the settlement of Pseudamnicola (Caenogastropoda, Hydrobiidae) in the Mediterranean Balearic Islands
Figure 4. Front, lateral, and apical views of shells of Majorcan species. A, D, G, shells of Pseudamnicola (Pseudamnicola) beckmanni from El Rentador Spring, Deyá. B, E, H, shells of Pseudamnicola (Pseudamnicola) granjaensis from La Granja, Esporles. C, F, I, shells of Pseudamnicola (Pseudamnicola) artanensis collected from a ditch near Betlem Hermitage, Artá. Scale bar: 1 mm.
Figure 3 in Vicariant versus dispersal processes in the settlement of Pseudamnicola (Caenogastropoda, Hydrobiidae) in the Mediterranean Balearic Islands
Figure 3. *BEAST chronograms of Pseudamnicola (Pseudamnicola) populations from the Ibero-Balearic region based on different calibrations: A, combined analysis of cytochrome c oxidase subunit I (rate previously calibrated for hydrobiids) and 16S rRNA and 28S rRNA ribosomal fragments (rates estimated), B, combined analysis in which all the rates and ages were estimated by a geological event (the separation of Minorca Island from the continent). *BEAST posterior probabilities were 0.99, except for the one indicated with a black dot, which was 0.75. Grey bars indicate 95% highest posterior density intervals. Black arrows on branches indicate no constancy in evolutionary rates using the relative rate test.
Figure 1 in Vicariant versus dispersal processes in the settlement of Pseudamnicola (Caenogastropoda, Hydrobiidae) in the Mediterranean Balearic Islands
Figure 1. Distribution map of Pseudamnicola (Pseudamnicola) populations in the Ibero-Balearic region that were molecularly examined. For locality codes, see Table 1.
Figure 17 in Vicariant versus dispersal processes in the settlement of Pseudamnicola (Caenogastropoda, Hydrobiidae) in the Mediterranean Balearic Islands
Figure 17. Operculum and radula of Pseudamnicola (Pseudamnicola) gasulli from Retamar Rambla, Almería (operculum) and stream at Barranco de las Negras, Almería (radula). A, internal side of the operculum. B, external side of the operculum. C, radula. D, rows of teeth of the radula. E, central teeth. F, outer marginal teeth.
Figure 15 in Vicariant versus dispersal processes in the settlement of Pseudamnicola (Caenogastropoda, Hydrobiidae) in the Mediterranean Balearic Islands
Figure 15. Anatomy of Pseudamnicola (Pseudamnicola) subproducta from Baltasar Ullal, Tarragona, Spain. A, B, partial nervous system. C, ctenidium and osphradium. D, prostate gland. E, stomach. F, head and penis of a male. G, female genitalia. H, bursa copulatrix and seminal receptacle.
Figure 16 in Vicariant versus dispersal processes in the settlement of Pseudamnicola (Caenogastropoda, Hydrobiidae) in the Mediterranean Balearic Islands
Figure 16. Shells of Pseudamnicola (Pseudamnicola) gasulli. A, shell from a stream at Barranco de las Negras, Almería, Spain. B, shell from Retamar Rambla, Almería, Spain. C–G, shells from a stream at Rambla de los Yesos, Alboloduy, Spain. E–G, protoconch and microsculpture of the protoconch. Scale bar: 1 mm.
Figure 14 in Vicariant versus dispersal processes in the settlement of Pseudamnicola (Caenogastropoda, Hydrobiidae) in the Mediterranean Balearic Islands
Figure 14. Operculum and radula of Pseudamnicola (Pseudamnicola) subproducta from Baltasar Ullal, Tarragona, Spain. A, internal side of the operculum. B, external side of the operculum. C, radula. D, rows of teeth of the radula. E, central teeth. F, details of outer marginal teeth.
Fig. 4. A in Identification of Sound-Producing Hydrophilid Beetles (Coleoptera: Hydrophilidae) in Underwater Recordings Using Digital Signal Processing
Fig. 4. A half-second vocalization by Tropisternus blatchleyi from 0–5,000 Hz changed into the frequency domain using the Fast Fourier Transformation. Active call frequency regions are at 1,100 Hz and 4,400 Hz. The first feature for T. blatchleyi divides the sum of the points in the active frequency band by the sum of the points in the inactive band, yielding a large number in T. blatchleyi exemplar calls.
Fig. 3 in Identification of Sound-Producing Hydrophilid Beetles (Coleoptera: Hydrophilidae) in Underwater Recordings Using Digital Signal Processing
Fig. 3. The classifier algorithm with two features shown in a two-dimensional graph. Beetle call data and noise data are classified based on two beetle call features: difference in active frequency range shape (x-axis and in Matlab™ as a template) and a ratio of amplitudes in an active and non-active frequency range (y-axis). The algorithm is shown as a solid black line. Most beetle calls fall within the correct classification in the lower left-hand corner, however, some fall outside the equation and are classified as noise. Likewise, noises are occasionally classified as beetles. As more features are added, the algorithm becomes multidimensional.
Fig. 2 in Identification of Sound-Producing Hydrophilid Beetles (Coleoptera: Hydrophilidae) in Underwater Recordings Using Digital Signal Processing
Fig. 2. Five distress calls by Berosus pantherinus transformed into the frequency domain using the fast fourier transformation from 0–12,000 Hz (x-axis). Wide active frequency bands can be seen from 1,500–6,000 Hz and 7,000–9,500 Hz. The feature for distress calls is the sum of the data points between 1,000–6,000 Hz with an amplitude (y-axis) greater than 2.
Data and analysis for "A process-conditioned and spatially consistent method for reducing systematic biases in modeled streamflow"
<p>This contains all of the necessary data and code to reproduce the results of the manuscript submitted to the Journal of</p> <p>Hydrometeorology entitled "A process-conditioned and spatially consistent method for reducing systematic biases in modeled streamflow"</p>
Figure 6 in Bayesian Poisson tree processes and multispecies coalescent models shed new light on the diversification of Nawab butterflies in the Solomon Islands (Nymphalidae, Charaxinae, Polyura)
Figure 6. Habitus of Polyura bicolor and Polyura epigenes across the Solomon Islands. Pictures of the upperside (left half) and underside (right half) of the two sexes. All pictures taken by Bernard Turlin.
Figure 4 in Bayesian Poisson tree processes and multispecies coalescent models shed new light on the diversification of Nawab butterflies in the Solomon Islands (Nymphalidae, Charaxinae, Polyura)
Figure 4. Nuclear haplotype network and maximum-likelihood phylogenetic reconstruction. The haplotype network reconstructed using the concatenated RPS5 and wingless alignments is presented on the left. The phylogenetic hypothesis inferred using the same data set in RA×ML is presented at the top right. A table highlighting the nucleotide substitutions found between Polyura epigenes bicolor and Polyura epigenes* is presented at the bottom right.
Figure 3 in Bayesian Poisson tree processes and multispecies coalescent models shed new light on the diversification of Nawab butterflies in the Solomon Islands (Nymphalidae, Charaxinae, Polyura)
Figure 3. Comparison of species delimitation results. Graph showing the result of each analysis of species delimitation. The posterior probability of either Polyura bicolor or Polyura epigenes (including Polyura bicolor) as a valid species are shown.
Figure 2 in Bayesian Poisson tree processes and multispecies coalescent models shed new light on the diversification of Nawab butterflies in the Solomon Islands (Nymphalidae, Charaxinae, Polyura)
Figure 2. Molecular phylogeny and molecular species delimitation results. Bayesian phylogeny as recovered from MrBayes analyses. The nodal supports of both Bayesian-inference (BI) and maximum-likelihood (ML) analyses are shown, with colour coding as indicated in the figure. The cloudogram of the *BEAST analysis showing all posterior species trees is presented at the bottom left. Denser regions indicate a robust support for the inferred relationship.
Figure 1 in Bayesian Poisson tree processes and multispecies coalescent models shed new light on the diversification of Nawab butterflies in the Solomon Islands (Nymphalidae, Charaxinae, Polyura)
Figure 1. Map of the geographic range of Polyura epigenes in the Solomon Islands. Male habitus of the different subspecies are shown above the name of the taxon. The distribution of each taxa is indicated by a coloured dashed line. The colour of the line refers to the pastille on the side of the taxon name. All pictures were taken by Bernard Turlin. The map is from National Geographic's MapMaker Interactive.
Figure 5 in Bayesian Poisson tree processes and multispecies coalescent models shed new light on the diversification of Nawab butterflies in the Solomon Islands (Nymphalidae, Charaxinae, Polyura)
Figure 5. Divergence time estimates derived from the *BEAST analysis. Chronogram derived from the posterior trees of dating analysis conducted in BEAST. The 95% credibility intervals are shown at each node of the phylogeny. A map of the Solomon Islands with bathymetry is shown at the top of the figure. The island of Malaita is highlighted in violet. A picture of a female Polyura epigenes bicolor f. cinereus (orange morph) is presented. Picture taken by Bernard Turlin. T in time bar stands for Tarantian.
Precise measurements of chromatin diffusion dynamics by modeling using Gaussian processes (Inter-Mito)
<p>Microscopy movies corresponding to interphase and mitotic cells in publication (add DOI when available).</p>
Points clouds of the best Somma-Vesuvius gravitative deformation process analog model
<p>Dense points clouds of the best Somma-Vesuvius gravitative deformation process analog model, realized with the Agisoft Photoscan software using a dataset of photos taken with four different cameras.</p>
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.