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Fig. 5 in Organismal Responses to Coastal Acidification Informed by Interrelating Erosion, Roundness and Growth of Gastropod Shells.
Fig. 5. Relationships for shell growth rate, shell roundness, and erosion index.. (A) Shell growth rate and roundness measured directly for snails from the secondary population. (B) Shell roundness plotted against erosion index for the primary population. (C) Predicted growth rate plotted against the erosion index. Regression equations and significant differences are given in the Materials and Methods section. Dashed lines represent 95% CI.
Fig. 4 in Organismal Responses to Coastal Acidification Informed by Interrelating Erosion, Roundness and Growth of Gastropod Shells.
Fig. 4. (A–B) Relationships for shell growth rate and shell size based on the secondary data set. (C) Erosion time (ET) as a function of shell size (SL), and (D) comparison of standardized erosion time (SET) between the acidified (EM) and non-acidified (UB) sites using the primary data sets. Dashed lines represent 95% CI. Red symbols indicate snails collected from the acidified site and black symbols from the non-acidified site.
Fig. 3 in Organismal Responses to Coastal Acidification Informed by Interrelating Erosion, Roundness and Growth of Gastropod Shells.
Fig. 3. (A–C) Relationships between total suture length, eroded suture length and shell length for snails from acidified (EM, red) and reference (UBD, black) sites. (D–F) Relationships between erosion index (EI), shell erosion rank (SER), and shell length (SL). Mean values are indicated by large circles. Regression equations and significant differences are given in the Materials and Methods section.
Fig. 1 in Organismal Responses to Coastal Acidification Informed by Interrelating Erosion, Roundness and Growth of Gastropod Shells.
Fig. 1. Methods for determining shell roundness, shell dissolution and growth rate. (A) Shell roundness was assessed from shell width (SW)/ shell length (SL). Shell erosion rank (SER) was scored using eight segments, where moderate erosion (ridges still observed) covered> 50% of the numerically greatest segment. The vertical line through the shell bisects the apical angle. By forming the apical angle we could measure projected SL (the intrinsic responder), as the actual SL is influenced by extrinsic apical dissolution in acidified water. (B) Comparison of SER (upper) and Erosion Index (EI) methods (lower). EI was calculated from the spiral suture length of the eroded shell divided by the total planospiral shell spiral length (R/ (Y and R)) using severe erosion (ridges not observed) determined from apical views (lower images). Upper images show the abapertural surfaces of the same shells, giving their SERs. (C) The growth rate was estimated from the shell margin extension of marked and recaptured snails (n = 22). The marginal extension is shown to far exceed shell length (SL) extension. EA, spire whorl, EB, body whorl, S, shell suture, W1-4, shell whorls.
Fig. 2 in Organismal Responses to Coastal Acidification Informed by Interrelating Erosion, Roundness and Growth of Gastropod Shells.
Fig. 2. (A–C). Comparisons between the localities in shell length, shell width and shell roundness (SW/SL). Data are shown as median, 25–75%, min-max (see key). (D) Relationships between shell width and shell length are: EM (y = -0.55 + 0.686x; r = 0.97; p <0.001) and UB (y = 1.157 + 0.57x; r = 0.93; p <0.001). Red circles indicate the acidified locality (EM) and black circles, the non-acidified locality (UB).
Fig. 4 in Fig. 3 in Fig. 4 in Responses of Phyllostomid Bats to Traditional Agriculture in Neotropical Montane Forests of Southern Mexico.
Fig. 4. Unidentified taxa. Blenniidae sp. 1 (a); Blenniidae sp. 2 (b); Coilia sp. 1 (c); Callionymidae sp. 1 (d); Sillaginidae sp. 1 (e); Soleidae sp. 1 (f); Platycephalidae sp. 1 (g).
Fig. 3 in Fig. 3 in Fig. 4 in Responses of Phyllostomid Bats to Traditional Agriculture in Neotropical Montane Forests of Southern Mexico.
Fig. 3. Three degrees of pigmentation on the top of head of A. gymnocephalus larvae; heavy pigment (a); moderate pigment (b); sparse pigment (c, d).
Fig. 1 in Fig. 3 in Fig. 4 in Responses of Phyllostomid Bats to Traditional Agriculture in Neotropical Montane Forests of Southern Mexico.
Fig. 1. Map of sampling location (left) and enlarged inset box (right) showing five sampling stations (black circles) along the Klang Strait. Right arrow indicates offshore direction of transect line from Kapar power plant.
Fig. 2 in Fig. 3 in Fig. 4 in Responses of Phyllostomid Bats to Traditional Agriculture in Neotropical Montane Forests of Southern Mexico.
Fig. 2. Ontogenetic series of E. thoracata at preflexion (a); flexion (b, c); postflexion (d, e); early juvenile (f).
Fig. 4 in Fig. 3 in Fig. 4 in Responses of Phyllostomid Bats to Traditional Agriculture in Neotropical Montane Forests of Southern Mexico.
Fig. 4. Unidentified taxa. Trypauchen sp. 1 (h); Gobiidae sp. 1 (i); Gobiidae sp. 2 (j); Gobiidae sp. 3 (k); Gobiidae sp. 4 (l); Gobiidae sp. 5 (m); Gobiidae sp. 6 (n); Gobiidae sp. 7-1 (o); Gobiidae sp. 7-2 (p); Gobiidae sp. 8 (q).
Fig. 4 in Fig. 3 in Fig. 4 in Fig. 4 in Responses of Phyllostomid Bats to Traditional Agriculture in Neotropical Montane Forests of Southern Mexico.
Fig. 4. Five developmental stages of feathers and the regulators for natal down growth suppression in zebra finch. (A) Schematic diagram shows the five developmental stages of feathers: LoGZ, invagination, branching, feather β-keratin, and dermal papilla (Wu et al. 2018). (B) A summary of the mRNAs identified in Type I and Type II feather formations in zebra finch (Chen et al. 2016).
Fig. 1. The modified time calibrated Bayesian tree and a in Fig. 3 in Fig. 4 in Fig. 4 in Responses of Phyllostomid Bats to Traditional Agriculture in Neotropical Montane Forests of Southern Mexico.
Fig. 1. The modified time calibrated Bayesian tree and a plot of four major avian developmental modes (Prum et al. 2015). The complete tree is divided into parts A and B. Scale in the Y-axis: millions of years ago.
Fig. 3 in Fig. 13 in Fig. 4 in Fig. 4 in Responses of Phyllostomid Bats to Traditional Agriculture in Neotropical Montane Forests of Southern Mexico.
Fig. 3. The morphology of left chela of types of Parasesarma liho (A–B), P. cognatum (C–D) and P. paucitorum (E–H). A, C, E, G, outer view; B, D, F, H, upper view. A, B, holotype of P. liho (CW 13.0 mm, SMF 36266); C, D, holotype of P. cognatum (CW 14.3 mm, NMMBCD 3975); E, F, paratype of P. paucitorum (CW 15.5 mm, ZRC 2019.0578); G, H, holotype of P. paucitorum (CW 19.7 mm, MZB Cru 2243). Scales bars = 2 mm.
Fig. 5 in Fig. 13 in Fig. 4 in Fig. 4 in Responses of Phyllostomid Bats to Traditional Agriculture in Neotropical Montane Forests of Southern Mexico.
Fig. 5. The coloration of Parasesarma liho in the field in Taiwan. A, specimen (not captured) from Gangkou R. estuary, Pingtung; B, specimen (not captured) from Meilun R. estuary, Hualien.
Fig. 2 in Fig. 13 in Fig. 4 in Fig. 4 in Responses of Phyllostomid Bats to Traditional Agriculture in Neotropical Montane Forests of Southern Mexico.
Fig. 2. The morphological variation of distal part the right G1s of Parasesarma liho (A–H), and P. paucitorum (I). A, CW 11.1 mm (NCHUZOOL 15022), Pingtung, Taiwan; B, CW 11.6 mm (NCHUZOOL 15027), Hualien, Taiwan; C, CW 12.7 mm (ZSM A20100040, paratype of P. liho), Hualien, Taiwan; D, CW 13.29 mm (NCHUZOOL 15034), Cebu, Philippines; E, CW 14.3 mm (NMMBCD 3975, holotype of P. cognatum), Pingtung, Taiwan; F, CW 15.5 mm (ZRC 2019.0578, paratype of P. paucitorum), Sulawesi, Indonesia; G, CW 16.2 mm (NCHUZOOL 15022), Pingtung, Taiwan; H, CW 16.7 mm (NCHUZOOL 15031), Pingtung, Taiwan; I, CW 19.7 mm (MZB Cru 2243, holotype of P. paucitorum), Sulawesi, Indonesia. Scales bars = 0.5 mm.
Fig. 5 in Fig. 4 in Fig. 4 in Responses of Phyllostomid Bats to Traditional Agriculture in Neotropical Montane Forests of Southern Mexico.
Fig. 5. Relationship between species abundance and climatic predictors according to the generalized linear models. Solid lines represent the fitted values (prediction) of the models, and the shaded area shows the 95% confidence interval of the predicted values of each model. Colour-code points indicate data by precipitation season (low and high).
Fig. 1 in Fig. 13 in Fig. 4 in Fig. 4 in Responses of Phyllostomid Bats to Traditional Agriculture in Neotropical Montane Forests of Southern Mexico.
Fig. 1. Schematic drawing showing the measurement of the length, as well as the maximum and minimum widths of the propodi of the fourth pereiopods (third ambulatory leg, P4) used in this study.
Fig. 3 in Fig. 3 in Fig. 4 in Fig. 4 in Responses of Phyllostomid Bats to Traditional Agriculture in Neotropical Montane Forests of Southern Mexico.
Fig. 3. Schematic diagram of bird hatchlings. Dorsal (upper row) and ventral (lower row) views of chicken (precocial), pigeon (semialtricial), parrot (altricial) and zebra finch.
Fig. 1 in Fig. 4 in Fig. 4 in Responses of Phyllostomid Bats to Traditional Agriculture in Neotropical Montane Forests of Southern Mexico.
Fig. 1. Geographic location of the study area in relation to South America (A), Venezuela (B), Mérida State (C), and the Monte Zerpa Cloud Forest (D). Points indicate sampled areas.
Fig. 3 in Fig. 4 in Fig. 4 in Responses of Phyllostomid Bats to Traditional Agriculture in Neotropical Montane Forests of Southern Mexico.
Fig. 3. Seasonal climatic and anuran variation among sampling sessions. (A) Principal Component Analysis (PCA) for all individual climate variables measured in 24 sampling sessions. The analysis included precipitation (Pp), relative humidity (RH) and air temperature (Temp). The level of Pearson correlation of each vector is indicated (cos2). (B) Principal Coordinate Analysis (PCoA) for the anuran assemblage based on species composition and abundance during the high and low precipitation seasons. The centroid points represent the average precipitation each month.
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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.