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Figs 2-5 in Accessing camera trap survey feasibility for estimating Blastocerus dichotomus (Cetartiodactyla, Cervidae) demographic parameters
Figs 2-5. Individual discrimination of marsh deer males (Blastocerus dichotomus Illiger, 1815) using antler morphology: a spike-antlered male (2) and two different branched antlers (3 and 4). The arrows indicate the different horn tips. Marsh deer female accompanied by a fawn (5).
Fig. 1 in Accessing camera trap survey feasibility for estimating Blastocerus dichotomus (Cetartiodactyla, Cervidae) demographic parameters
Fig. 1. Map outlining the aerial and camera trap surveys conducted at the Jataí Ecological Station, state of SÃo Paulo, Brazil in order to obtain marsh deer demographic parameters.
Fig. 4 in Quantifying zooplankton species: use of richness estimators
Fig. 4. Species accumulation curves, uniques and duplicates for the BA1 station of Furnas reservoir, state of Minas Gerais, Brazil, from March 2011 to February 2012.
Fig. 6 in Quantifying zooplankton species: use of richness estimators
Fig. 6. Species accumulation curves, uniques and duplicates for the BA3 station of Furnas reservoir, state of Minas Gerais from March 2011 to February 2012.
Fig 1 in Quantifying zooplankton species: use of richness estimators
Fig 1. Sampling stations in the Hydroelectric Power Plant of Furnas reservoir, state of Minas Gerais, Brazil (A, Barranco Alto region; B, junction of rivers Verde and Sapucai - VSJ).
Fig. 5 in Quantifying zooplankton species: use of richness estimators
Fig. 5. Species accumulation curves, uniques and duplicates for the BA2 station of Furnas reservoir, state of Minas Gerais, Brazil from March 2011 to February 2012.
Fig. 3 in Quantifying zooplankton species: use of richness estimators
Fig. 3. Species accumulation curves, uniques and duplicates for the VSJ station in Furnas reservoir, state of Minas Gerais, Brazil, collected with vertical hauls.
Fig. 1. The Chao 1 in Estimating fossil ant species richness in Eocene Baltic amber
Fig. 1. The Chao 1 (top line) and ACE (bottom line) richness estimates computed using Colwell (2013); note the slightly lower ACE.
Fig. 3 in Estimating body mass from the astragalus in mammals
Fig. 3. Scatter plots of the best-performing body mass (BM [g]) regressions, based on A, Li1 (mm); B, Ar1 (mm2); C, Ar3 (mm2). The black line indicates the line of best fit, while the dashed lines represent the upper and lower 95% prediction limits.
Fig. 2 in Estimating body mass from the astragalus in mammals
Fig. 2. Comparison of %SEE, %MPE, and %MPE ad-CF arising from the bivariate regression analyses of the 16 astragalar measurements (Li1–9, Ar1–4, and Vo1–3). Abbreviations: ad-CF, adjusted correction factor; MPE, mean percentage prediction error; SEE, standard error of estimate.
Fig. 4 in Mass estimation of Santacrucian sloths from the Early Miocene Santa Cruz Formation of Patagonia, Argentina
Fig. 4. Phylogenetic tree following Asher and Helgen (2010), as used in the variance decomposition test. The nodes are arbitrarily labeled with numbers.
Fig. 3 in Mass estimation of Santacrucian sloths from the Early Miocene Santa Cruz Formation of Patagonia, Argentina
Fig. 3. Measurements used in this work, as illustrated using the left hind limb of Hapalops. A. Tibia in proximal view (A 1), anterior aspect down; anterior view (A 2), proximal end up; distal view (A 3), anterior aspect up. B. Fibula in anterior view, distal end down. C. Femur in anterior view (C 1), distal end down; distal view (C 2), anterior aspect up. D. Calcaneum in dorsal view, anterior aspect down. E. Astragalus in dorsal view, anterior aspect down. F. Pelvis in left lateral view.
Fig. 2 in Mass estimation of Santacrucian sloths from the Early Miocene Santa Cruz Formation of Patagonia, Argentina
Fig. 2. Measurements used in this work, as illustrated using the left forelimb of Hapalops. A. Scapula in lateral view, anteroventral aspect to the left. B. Humerus in proximal view (B 1), anterior aspect down; distal view (B 2), anterior aspect up; anterior view (B 3), proximal end up. C. Radius in anterior view, proximal end up. D. Ulna in medial view (D 1), anterior aspect right; anterior view (D 2).
Fig. 1 in Mass estimation of Santacrucian sloths from the Early Miocene Santa Cruz Formation of Patagonia, Argentina
Fig. 1. Cladogram showing the phylogenetic relationships among the xenarthrans included in this study. Modified from Gaudin (2004).
Fig. 2 in Body mass estimation in amphicyonid carnivoran mammals: A multiple regression approach from the skull and skeleton
Fig. 2. Osteological measurements used in the regression analyses, illustrated on the bones of a postcranial skeleton of Ursus maritimus. A. Femur in anterior (A1) and lateral (A2) views, and in the posterior (A3), medial (A4), and lateral (A5) views of the distal epiphysis. B. Tibia in anterior (B1) and lateral (B2) views. C. Humerus in anterior (C1) and lateral (C2) views. D. Ulna in anterior (D1) and lateral (D2) views. E. Radius in anterior (E1) and lateral (E2) views. For abbreviations and definitions of measurements, see Table 3.
Fig. 4 in Body mass estimation in amphicyonid carnivoran mammals: A multiple regression approach from the skull and skeleton
Fig. 4. Box plots of the residuals (log−scale) derived from multiple regression functions. A. Residuals derived from the cranium regression. B. Residuals derived from the mandible regression. C. Residuals derived from the radius regression. D. Residuals derived from the ulna regression. E. Residuals derived from the tibia regression F. Residuals derived from the humerus regression. G. Residuals derived from the femur regression. Vertical lines inside the boxes are the medians. Box length is the interquartile range (IQR) and shows the difference between the 75th and 25th percentiles. Horizontal bars include the largest and smallest values (5–95% confidence limits). Black dots are outliers. Dark grey tones represent the family Ursidae and light grey tones the family Canidae.
Fig. 6 in Body mass estimation in amphicyonid carnivoran mammals: A multiple regression approach from the skull and skeleton
Fig. 6. Mean values of body mass (y−axis, log10−scale) estimated for all amphicyonids included in this study. Each amphicyonid species is represented by a symbol positioned at the midpoint of its stratigraphic range (x−axis; data from Hunt 1998, 2001, 2002, 2003, 2009; Peigné et al. 2006). Timescale (in Ma) from Prothero (1998).
Figueirido, B., Pérez−Claros, J.A., Hunt, R.M. Jr., and Palmqvist, P. 2011. Body mass estimation in amphicyonid carnivoran mammals: A multiple regression approach from the skull and skeleton. Acta Palaeontologica Polonica 56 (2): 225–246. in Body mass estimation in amphicyonid carnivoran mammals: A multiple regression approach from the skull and skeleton
Figueirido, B., Pérez−Claros, J.A., Hunt, R.M. Jr., and Palmqvist, P. 2011. Body mass estimation in amphicyonid carnivoran mammals: A multiple regression approach from the skull and skeleton. Acta Palaeontologica Polonica 56 (2): 225–246.
Fig. 5 in Body mass estimation in amphicyonid carnivoran mammals: A multiple regression approach from the skull and skeleton
Fig. 5. Reconstruction of three extinct beardogs (right column) compared with their presumed analogues or ecomorphs among the living caniforms (left column). A. Ursus arctos. B. Canis lupus. C. Canis latrans. D. Ysengrinia americana. E. Daphoenodon superbus. F. Daphoenus vetus. Note the three different size classes among these caniforms, and the three types of ecomorphs mentioned in the text. Drawings by Óscar San−Isidro.
Fig. 3 in Body mass estimation in amphicyonid carnivoran mammals: A multiple regression approach from the skull and skeleton
Fig. 3. Bivariate plots with the scores of 442 specimens on the bivariate craniodental morphospaces depicted by the first three principal components. A. Morphospace depicted from first (x−axis) and second (y−axis) principal components. B. Morphospace depicted from second (x−axis) and third (y−axis) principal components.
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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.