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Figure 3 in Microcrustacean community structure is shaped by seasonality in a Brazilian semiarid reservoir
Figure 3. Biplot of the first two axes of the redundancy analysis (RDA) for the environmental variables vs microcrustacean community of the Canoas Reservoir. (a) dry season; (b) rainy season. WT – water temperature; pH – ionic hydrogen potential; OD – dissolved oxygen; EC – electrical conductivity; PLUV – pluviosity.
Figure 2 in Microcrustacean community structure is shaped by seasonality in a Brazilian semiarid reservoir
Figure 2. Biplot of the first two components of the principal component analysis (PCA) for the environmental variables of the Canoas Reservoir. WT – water temperature; pH – ionic hydrogen potential; OD – dissolved oxygen; EC – electrical conductivity; PLUV – pluviosity.
Figure 1. A in Microcrustacean community structure is shaped by seasonality in a Brazilian semiarid reservoir
Figure 1. A – Limits of the municipality of Assaré, state of Ceará; B – data collection points in Canoas Reservoir.
FIG. 5 in Marine Habitat Transitions and Body-Shape Evolution in Lizardfishes and Their Allies (Aulopiformes)
FIG. 5. Results of principal component analysis depicting principal component 1 and principal component 2 with eight homologous landmarks and 70 semi-landmarks. Colored polygons represent distribution by marine habitat.
FIG. 6 in Marine Habitat Transitions and Body-Shape Evolution in Lizardfishes and Their Allies (Aulopiformes)
FIG. 6. Marine habitat transitions among Aulopiformes inferred on the time-calibrated phylogeny from Davis and Fielitz (2010). Outgroups trimmed from tree to highlight Aulopiformes. Benthic continental shelf to upper slope may range from approximately 0 to 500 meters depending on region, with most continental shelves breaking at 200 m. Deep-sea pelagic includes the zones below the epipelagic starting with the mesopelagic at 200 m. Maximum-likelihood character reconstruction of habitat shown with probabilities of states represented at nodes.
FIG. 3 in Marine Habitat Transitions and Body-Shape Evolution in Lizardfishes and Their Allies (Aulopiformes)
FIG. 3. Results of principal component analysis depicting principal component 1 and principal component 2 with eight homologous landmarks and 70 semi-landmarks. Colored polygons highlight distribution of specimens within families of lizardfishes.
FIG. 2 in Marine Habitat Transitions and Body-Shape Evolution in Lizardfishes and Their Allies (Aulopiformes)
FIG. 2. Example of fixed landmark (blue circles) and sliding semi-landmark (purple circles) locations on a lizardfish (SynoduS VariegatuS illustrated). Homologous fixed landmarks follow those from McMahan et al. (2011) and include: 1, anterior insertion of the dorsal fin on body; 2, posterior insertion of the dorsal fin on the body; 3, dorsal insertion of caudal fin; 4, ventral insertion of caudal fin; 5, posterior insertion of anal fin on the body; 6, anterior insertion of anal fin on body; 7, the point at which the interopercle meets the ventral body outline; 8, anterior tip of premaxilla. Digital image by R. P. Martin.
Data for Coevolution and temporal dynamics of species interactions shape species coexistence
<p>This dataset is the one used in our preprint "<a href="https://doi.org/10.1101/2024.08.08.607160">Coevolution and temporal dynamics of species interactions shape species coexistence</a>".</p> <p>R codes to analyse these data can be found here: <a href="https://github.com/f-duchenne/Evolution_pheno_vs_morpho">https://github.com/f-duchenne/Evolution_pheno_vs_morpho</a></p> <p><em>flow_pheno_empirical.csv</em> and <em>poll_pheno_empirical.csv</em> contain the empirical phenological parameters for plant and pollinator species, respectively: the mean activity day (mu) and its standard deviation (sde) representing the duration of the activity period.</p> <p><em>matrices_empirical_networks.RData</em> contains an R object with the 17 networks used. Plants are in rows and pollinators in columns, with each cell representing the average interaction value across sampling rounds, corrected by abundances.</p> <p>You can access it in R via:</p> <div> <pre><code>#load data load("matrices_empirical_networks.RData") #see the structure (a list of 17 networks) str(networks) #access the first network networks[[1]]</code></pre> <pre> </pre> </div>
Data for "Statistical Process Monitoring of Isolated and Persistent Defects in Complex Geometrical Shapes"
<p>Simulated data used in the paper "Statistical Process Monitoring of Isolated and Persistent Defects in Complex Geometrical Shapes" by Daniele Zago, Bianca Maria Colosimo, and Giovanna Capizzi.</p> <p>The files includes MATLAB code used to generate the simulated noisy meshes.</p>
Phenoscape Catfish Fin Shapes
Open the record for dataset details and reuse information.
Sidewall and grain shape effect data
<p>Matlab code and .MAT files to plot figures of paper entitled "Rectifying bedload flux variability from channel geometry and grain shape effects"</p>
Fig. 4 a in Evolutionary pattern of the forewing shape in the Neotropical genus of jumping plant-lice (Hemiptera: Psylloidea: Russelliana)
Fig. 4 a Reconstructed ancestral shape of Russelliana forewing. b The forewing of Russelliana viscosae
Fig. 3 in Evolutionary pattern of the forewing shape in the Neotropical genus of jumping plant-lice (Hemiptera: Psylloidea: Russelliana)
Fig. 3 Scatter plot from the PCA showing scores on the first two PCs for the 43 species of Russelliana. Shape changes are shown by deformation grids associated with extreme values (− 0.20 and + 0.10 on the PC1, and
Fig. 7 in Evolutionary pattern of the forewing shape in the Neotropical genus of jumping plant-lice (Hemiptera: Psylloidea: Russelliana)
Fig. 7 Geographical distribution of Russelliana. a Verbenaceae- (5 spp.) and Solanaceae-feeders (6 spp.) from gr. 2. b Verbenaceae- (5 spp.) and Solanaceae-feeders (2 spp.) from gr. 1. c Asteraceae- (4 spp.) and Fabaceae-feeders (13 spp.). d R. solanicola, Rosaceae- (2 spp.) and Solanaceae-feeders (7 spp.) from gr. 3. The original map was taken from the Natural Earth, free vector, and raster map data @naturalearthdata.com; the geographical coordinates were entered using the Google Earth. Subdivision into morphostructural provinces of the Andean Region follows Ramos (2009)
Fig. 1 Simplified phylogeny for 43 in Evolutionary pattern of the forewing shape in the Neotropical genus of jumping plant-lice (Hemiptera: Psylloidea: Russelliana)
Fig. 1 Simplified phylogeny for 43 species of Russelliana. Three nodes with numbers (1–3) correspond to clades 1–3 with the strongest synapomorphic support. Numbers at branches are bootstrap values. Source tree is mentioned in the text
Fig. 6 Phylogeny for 43 in Evolutionary pattern of the forewing shape in the Neotropical genus of jumping plant-lice (Hemiptera: Psylloidea: Russelliana)
Fig. 6 Phylogeny for 43 species of Russelliana excluding characters on forewing morphology. Three nodes with numbers (1–3) correspond to clades 1–3 derived from the phylogenetic tree (Fig. 1). Numbers at branches are bootstrap values
Fig. 5 in Evolutionary pattern of the forewing shape in the Neotropical genus of jumping plant-lice (Hemiptera: Psylloidea: Russelliana)
Fig. 5 Scatter plot from the CVA of 41 species of Russelliana (R. nana and queirozae are excluded). Shape changes are shown by the wireframes associated with extreme values (− 30.0 and + 30.0 on the CV1, and − 40.0
FIGURE 1 in Boletus recapitulatus (Boletaceae), a new species from India with peculiar mushroom-shaped cells
FIGURE 1. Best maximum likelihood phylogram of ITS sequences from DC 14-001 (Boletus recapitulatus, in red font) and 35 best matching sequences in GenBank and UNITE databases. Numbers above/below/next to branches are nonparametric bootstrap percentages after 450 bootstrap replicates. The tree was rooted at the node leading to Butyriboletus.
FIGURE 3 in Boletus recapitulatus (Boletaceae), a new species from India with peculiar mushroom-shaped cells
FIGURE 3. Boletus recapitulatus sp. nov. (DC 14-001): a. Section through plugged pores showing tube edge b. Pleurocystidia c. Gelatinous hyphae in hymenophoral trama d. Cross-section through pileipellis e–g. Mushroom like terminal cells in the hyphae of pileipellis & stipitipellis i. Basidiospores j. Scanning Electron Micrograph of a basidiospore h. Granular spore surface under SEM. Bars: a = 100 μm, b–c & e–I = 10 μm, d = 50 μm, j = 5 μm, h = 500 nm.
FIGURE 2 in Boletus recapitulatus (Boletaceae), a new species from India with peculiar mushroom-shaped cells
FIGURE 2. Boletus recapitulatus sp. nov. (DC 14-001): a & b. Fresh basidioma in field c. Macrochemical reaction on exposed context d. Pore- & stipe surface e. Pore surface showing red mouth.
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.