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Text-fig. 7. Temporal distribution of the described taxa from the Plio-Pleistocene localities of Turkey. The described localities are marked in red. in Plio-Pleistocene Amphibians And Reptiles From Central Turkey: New Faunas And Faunal Records With Comments On Their Biochronological Position Based On Small Mammals
Text-fig. 7. Temporal distribution of the described taxa from the Plio-Pleistocene localities of Turkey. The described localities are marked in red.
FIG. 5 in Temporal paralogy, cladograms, and the quality of the fossil record
FIG. 5. — Pectinate cladogram illustrating Pongidae relationships as currently understood; A, all nodes are temporally informative (orthologous). The age of diversification of Pan is more recent than the age of origin of (Homo, Pan); B, the addition of a fossil taxon (Homo neanderthalensis) defines a paralogous node and two new arrows of time (black arrows). Consequently the fit of ages of diversification of both Homo and Pan to stratigraphy is meaningless.
FIG. 4 in Temporal paralogy, cladograms, and the quality of the fossil record
FIG. 4. — Temporal paralogy and the origin of tetrapods. The possibility of osteolepiforms being ancestors of tetrapods has been reinterpreted based on a parsimony analysis (Ahlberg & Johanson 1998). Among osteolepiforms, the Tristichopteridae appear as the closest relative to the Tetrapoda. The common ancestor of both groups is represented by a paralogous node, and according to temporal hierarchy the relative inclusiveness of each of the sister-groups cannot be decided. As a consequence, the Tetrapoda can be supposed to have occurred before the first appearance of osteolepiforms (Eifelian). There are no arguments to see osteolepiforms as possible ancestors of tetrapods, if this question has any meaning when argued from a parsimony analysis.
FIG. 3 in Temporal paralogy, cladograms, and the quality of the fossil record
FIG. 3. — Temporal information and cladograms; A, maximally informative cladogram of taxa (A-F) and their ages (6-1). All nodes are orthologous, and the ages of the fossil specimens can be either consistent or not with the temporal hierarchy; B, the effect of a better knowledge of the fossil record by addition of the age of a supplementary taxon (N, 4) is the decrease in temporal resolution. The number of informative (orthologous) nodes decreases (white circles) as temporally ambiguous nodes appear (shown as grey circles) node leading to two terminals or a terminal and a paralogous node, the black circle corresponds a new paralogous node, indicating a temporal paralogy. The ages of sister-taxa (C, N) and (D, E, F) are temporal paralogs. Each arrow represents a semi-independent temporal hierarchy.
Text-fig. 8. Tachyglossus aculeatus. Transverse section through the temporal region of the adult head. Membranous parts blue, autostoses brown and allostoses purple. gg: ganglion gasseri; lop: lamina obturatoria periotici; ms: sphenobturatory membrane; mt: musculus temporalis; oo: os obturans; opa: parietal bone. (Modified from Kuhn and Zeller 1987.) in Cartilago Teniformis And Its Derivatives: Additional Information On The Basic Composition And Evolution Of The Skull
Text-fig. 8. Tachyglossus aculeatus. Transverse section through the temporal region of the adult head. Membranous parts blue, autostoses brown and allostoses purple. gg: ganglion gasseri; lop: lamina obturatoria periotici; ms: sphenobturatory membrane; mt: musculus temporalis; oo: os obturans; opa: parietal bone. (Modified from Kuhn and Zeller 1987.)
Text-fig. 9. Biostratigraphy of African Miocene localities, with the temporal ranges of the diverse species of hyaenodonts found therein. See Pickford (1986a), Pickford and Senut (2003), Reynoso (2014) and Werdelin (2010). in New Hyaenodonts (Ferae, Mammalia) From The Early Miocene Of Napak (Uganda), Koru (Kenya) And Grillental (Namibia)
Text-fig. 9. Biostratigraphy of African Miocene localities, with the temporal ranges of the diverse species of hyaenodonts found therein. See Pickford (1986a), Pickford and Senut (2003), Reynoso (2014) and Werdelin (2010).
Fig. 3 in Spatial and temporal structure of fish assemblages in a hyperhaline coastal system: Ría Lagartos, Mexico
Fig. 3. Non-metric multi-dimensional scaling ordination plot derived from a Bray-Curtis similarity matrix constructed from the fish abundance data (log X + 1 transformation) in different types of habitat (a) and climatic seasons (b) in the Ría Lagartos system between October 2004 and December 2008. hyperhaline: H, rocky: R, seagrass: S, channel: C, marine: M. %: Rainy, % Northerlies, + Dry.
Fig. 4 in Spatial and temporal structure of fish assemblages in a hyperhaline coastal system: Ría Lagartos, Mexico
Fig. 4. Canonical Correspondence Analysis bi-plot. Length and direction of arrows indicate the relative importance and force of change in the environmental variables. CCA axis 1 and CCA axis 2 had eigen values of 0.629 and 0.214 respectively. The habitats and seasons are indicated. Only the species approximately 90% of IVI are shown. Species abbreviations are the first letter of the genus name and first four letters of the species name. DO: dissolved oxygen.
Fig. 2 in Spatial and temporal structure of fish assemblages in a hyperhaline coastal system: Ría Lagartos, Mexico
Fig. 2. Spatial (type of habitat) and seasonal variations in temperature, salinity, and dissolved oxygen (±1 STD).
Fig. 1 in Spatial and temporal structure of fish assemblages in a hyperhaline coastal system: Ría Lagartos, Mexico
Fig. 1. Study area showing the Ría Lagartos Lagoon system, Mexico and sampling stations. Letters show different types of habitats and numbers are replicas in the same habitat. (hyperhaline: H, rocky: R, seagrass: S, channel: C, and marine: M).
Fig. 3 in Temporal distribution of ichthyoplankton in the Ivinhema River (Mato Grosso do Sul State/ Brazil): Influence of environmental variables
Fig. 3. Average fish larva abundance of the ten most important taxa captured in the Ivinhema River (Mato Grosso do Sul State, Brazil) during the period between April 2005 and March 2006.
Fig. 4 in Temporal distribution of ichthyoplankton in the Ivinhema River (Mato Grosso do Sul State/ Brazil): Influence of environmental variables
Fig. 4. Average values and standard error of the environmental variables obtained at the Ivinhema River (Mato Grosso do Sul State, Brazil) during the period between April 2005 and March 2006. A. Water outflow and rainfall; B. Dissolved oxygen and water temperature; C. Electrical conductivity and pH; and D. Total zooplankton.
Fig. 2 in Temporal distribution of ichthyoplankton in the Ivinhema River (Mato Grosso do Sul State/ Brazil): Influence of environmental variables
Fig. 2. Fish egg (A) and larva (B) abundance in the Ivinhema River (Mato Grosso do Sul State, Brazil) for the period between April 2005 and March 2006 (circles = average value; bars = standard error).
Fig. 2 in Temporal variation in fish composition and abundance in a perennial tributary of the rio Paraguaçu, a little-known drainage in the Brazilian semi-arid region
Fig. 2. Canonical correspondence analysis ordination diagram of fish abundance data, with environmental variables, for the rainy period (November to March) and the dry period (April to October). G = Gillnet; C = Cast seine.
Fig. 1 in Temporal variation in fish composition and abundance in a perennial tributary of the rio Paraguaçu, a little-known drainage in the Brazilian semi-arid region
Fig. 1. Geographical location of the rio Paraguaçu drainage and of the sampling stretch in the rio Santo Antônio (black dot).
Fig. 6 in Spatio-temporal segregation and size distribution of fish assemblages as related to non-native species occurrence in the middle rio Doce Valley, MG, Brazil
Fig. 6. Least-square means and 95% confidence intervals from ANCOVA of the first three environmental factors from PCA. Different markers represent significantly different means as detected by planned contrasts with 5% significance level, first comparing lakes with any non-native species with those without them, and then comparing the two categories of lakes with non-natives (non-piscivores vs. piscivores).
Fig. 4 in Spatio-temporal segregation and size distribution of fish assemblages as related to non-native species occurrence in the middle rio Doce Valley, MG, Brazil
Fig. 4. Scatterplot of species body size (mean standard length) vs. a relative index of native affinity to lakes containing piscivorous invaders (the proportion of biomass of a given native species in lakes with piscivorous invaders). The estimated regression line is also presented (Y = 0.044*X - 0.279; R2 = 0.443; p = 0.007). Species codes: ast = Astyanax sp.; aus = Australoheros facetus; cyp = Cyphocharax gilbert; cre = Crenicichla lacustris; geo = Geophagus brasiliensis; gym = Gymnotus gr. carapo; hop = Hoplias malabaricus; lep = Leporinus steindachneri; lor = Loricariidae (unidentified species); lyc = Lycengraulis sp.; moe = Moenkhausia doceana; oli = Oligosarcus solitarius; pac = Pachyurus adspersus; pro = Prochilodus vimboides; tra = Trachelyopterus striatulus.
Fig. 5 in Spatio-temporal segregation and size distribution of fish assemblages as related to non-native species occurrence in the middle rio Doce Valley, MG, Brazil
Fig. 5. Least-square means and 95% confidence intervals from ANCOVA of mean individual size and temporal turnover as related to the three lake categories. Different markers represent significantly different means as detected by planned contrasts with 5% significance level, first comparing lakes with any non-native species with those without them, and then comparing the two categories of lakes with non-natives (non-piscivores vs. piscivores).
Fig. 2 in Spatio-temporal segregation and size distribution of fish assemblages as related to non-native species occurrence in the middle rio Doce Valley, MG, Brazil
Fig. 2. Alpha (mean) and beta richness. a) Comparison among the temporal and spatial components of richness. b) Species richness for each lake. The alpha (mean) and beta richness were taken along the temporal component. Lake codes: No = Nova; Ca = Capim; Fe = Ferrugem; Cr = Crentes; Po = Poço Redondo; Ro = Romoalda; Ti = Timburé; Ag = Águas Claras; Pa = Palmeirinha; Ar = Ariranha. "Natives" represents lakes without non-native species; "Non-piscivores" represents lakes with non-piscivorous non-native species; "Piscivores" represents lakes with invasive piscivorous species.
Fig. 4 in Fish assemblage in a dammed tropical river: an analysis along the longitudinal and temporal gradients from river to reservoir
Fig. 4. Ordination diagram from Canonical Correspondence Analysis of the abundance of the 14 most numerous species with abiotic variables. Zone codes: 1 = Zone 1; 2 = Zone 2; 3 = Zone 3; and 4 = Zone 4. Species codes: Aspar = Astyanax parahybae; Astbim = Astyanax cf. bimaculatus; Cickel = Cichla kelberi; Geobra = Geophagus brasiliensis; Hopmal = Hoplias malabaricus; Hypaur = Hypostomus auroguttatus; Hoplit = Hoplosternum littorale; Hypaff = Hypostomus affinis; Lepcop = Leporinus copelandii; Lepcon = Leporinus conirostris; Metmac = Metynnis maculatus; Olihep = Oligosarcus hepsetus; Pimmac = Pimelodus maculatus; Plasqu = Plagioscion squamosissimus.
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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.