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FIGURE 12. Diplacanthus crassisimus scale histology. 1–7, NMS G. 2014.33.10 in The diplacanthid fishes (Acanthodii, Diplacanthiformes, Diplacanthidae) from the Middle Devonian of Scotland
FIGURE 12. Diplacanthus crassisimus scale histology. 1–7, NMS G. 2014.33.10 from Corbie Den, Banffshire, thin sections of a patch of midflank scales: 1, group of scales sectioned in various orientations; 2, vertical longitudinal section; 3, crown horizontal section; 4, horizontal section through the base; 5, 6, vertical longitudinal sections through articulated scales; 7, crown horizontal section. 8, 9, NMS G.2015.11.3 from Gamrie, Banffshire, isolated midflank scales: 8, crown horizontal section; 9, vertical section through the base and lower neck, imaged with cross nicols. 10, 11, NMS G.2015.11.2 from Gamrie, Banffshire: 10, vertical longitudinal section; 11, vertical longitudinal section. Scale bars equal 0.1 mm. Abbreviations: cgz=crown growth zones; dt=dentine tubule; p=canal opening; pc=pore canal; spc=spiral canal. Arrows indicate anterior direction, where relevant.
Insect Pain Database: Pain Scale
Open the record for dataset details and reuse information.
Fig. 3 in Influence of environmental variables on stream fish fauna at multiple spatial scales
Fig. 3. Venn diagrams representing the results of the variance partitioning with partial CCA (canonical correspondence analysis): percentage of variation in fish abundance (a) and incidence (b) explained by land use and land cover, site, and spatial variables, as well as that shared between the three sets of variables in the Upper Araguari River basin, Minas Gerais. See Table 4 for a list of all explanatory variables.
Fig. 1 in Influence of environmental variables on stream fish fauna at multiple spatial scales
Fig. 1. Locations of the 38 randomly selected sites sampled in the Upper Araguari River basin, State of Minas Gerais, Brazil.
Fig. 2 in Influence of environmental variables on stream fish fauna at multiple spatial scales
Fig. 2. Detrended correspondence analysis (DCA) of fish abundance (a) and incidence (b) along the sampling sites. The species are shown in triangle and sampling sites in X-mark.
FIGURE 1 in Taxonomic and functional turnover of Amazonian stream fish assemblages is determined by deforestation history and environmental variables at multiple scales
FIGURE 1 | Sampled sites and forest fragments in the Machado River basin, Brazil. The inset map of Brazil depicts the relative location of the study area (black) within the Madeira River basin (dark gray), inside the Amazon biome (light gray).
FIGURE 4 in Taxonomic and functional turnover of Amazonian stream fish assemblages is determined by deforestation history and environmental variables at multiple scales
FIGURE 4 | Explained variation of environmental contribution in turnover metrics partitioned by MRM and associated commonality analysis into pure local, shared and pure catchment components. RC = Raup-Crick; MPD = mean pairwise distance; MNTD = mean nearest taxon distance; all = all sampled streams; ref = streams with forested watersheds; new = streams with recently deforested watersheds; old = streams with historically deforested watersheds.
FIGURE 2 in Taxonomic and functional turnover of Amazonian stream fish assemblages is determined by deforestation history and environmental variables at multiple scales
FIGURE 2 | Distribution of sampling sites with (A) forest patches ranked according to the forest quality multimetric index and (B) effective forest cover. Non-forested area is white and is not included in the multimetric index calculation (or legend).
FIGURE 3 in Taxonomic and functional turnover of Amazonian stream fish assemblages is determined by deforestation history and environmental variables at multiple scales
FIGURE 3 | Standardized effect sizes for each taxonomic and functional turnover metric (mean and 95% confidence intervals). RC = Raup-Crick; MPD = mean pairwise distance; MNTD = mean nearest taxon distance; ref = streams with forested watersheds; new = streams with recently deforested watersheds; old = streams with historically deforested watersheds.
FIGURE 3. Rodentia incisor fragments from the Clarno Formation, Oregon. JODA 16822, 3.1. anterior view, 3.2. lateral view, 3.3. distal view. UOMNH F-28304, 3.4. anterior view, 3.5. lateral view, 3.6. distal view. Scale bar equals 1 in The first Eocene rodents from the Pacific Northwest, USA
FIGURE 3. Rodentia incisor fragments from the Clarno Formation, Oregon. JODA 16822, 3.1. anterior view, 3.2. lateral view, 3.3. distal view. UOMNH F-28304, 3.4. anterior view, 3.5. lateral view, 3.6. distal view. Scale bar equals 1 mm.
FIGURE 39. Claiborne Floral Type 18. All Scale bar equals 1 in Fruits, seeds and flowers from the Bovay and Bolden clay pits (early Eocene Tallahatta Formation, Claiborne Group), northern Mississippi, USA
FIGURE 39. Claiborne Floral Type 18. All Scale bar equals 1 mm: 1) UF15737-059241'a. Counterpart of a laterally preserved flower showing a short pedicel (p), fused filaments (f), anthers (a), and a perianth part (pp); 2) UF15737-059241a. Part of Figure 39.1 showing a filament spliting from the column (indicated by arrow); 3) UF15735-059323. Two laterally preserved flowers. Note strong connectives of the anthers (indicated by arrows).
FIGURE 4 in The influence of landscape at multiple spatial scales of the river basins at the Eastern Amazon fish assemblage
FIGURE 4 | Venn's diagram showing the exclusive and shared explanation of environmental variables (local, land use, and macroscale) and space in structuring fish assemblages in four catchments of the Eastern Amazon. Local = variation explained by the local matrix (variables of instream habitat); land use = variation explained by the land-use matrix (agriculture, pasture, and urbanization of drainagenetwork buffers and catchment); space = variation explained by the space matrix (environmental filters); macroscale = variation explained by the matrix of macroscale variables (soil characteristics and geographic factor); and residue = variation not explained. * p <0.05.
FIGURE 3 in The influence of landscape at multiple spatial scales of the river basins at the Eastern Amazon fish assemblage
FIGURE 3 | Graphic model showing the environmental and spatial variables that composed the four matrices used in the RDAp.
FIGURE 5 in The influence of landscape at multiple spatial scales of the river basins at the Eastern Amazon fish assemblage
FIGURE 5 | The dbRDA graph displays the distribution of fish data according to the most explanatory (local, macroscale, and land use) variables selected in the distLM model. Environmental variables were chosen by Forward and best model by AIC. Species code: Brachyhypopomus brevirostris (Pbre), Pyrrhulina capim (Pcap), Nannostomus trifasciatus (Ntri), Gymnorhamphichthys rondoni (Gron), Iguanodectes rachovii (Irac), Denticetopsis epa (Dent). Abbreviations: Local variables: EM: Average distance from excavated margins, MA: Average margin angle, SIN: Stretch sinuosity, SF: Smooth flow, LB: Substrate leaf bank, OM: Substrate organic matter, pH, RF: Rapids flow; TD: Average of thalweg depth; SSA: Stream sand. Macroscale variables: CLY: Catchment clay average, CSL: Catchment slope average, SDY: Catchment soil density, CSA: Catchment substrate sand; Land use: UR_S: Urbanization in 30m buffer, PAS_L: Pasture in 60m buffer, AGR_T: agriculture on catchment, PAS_S: Pasture in 30m buffer.
FIGURE 2 in The influence of landscape at multiple spatial scales of the river basins at the Eastern Amazon fish assemblage
FIGURE 2 | Scheme showing different spatial scales from which land use types were quantified in four catchments of the Eastern Amazon.
FIGURE 1 in The influence of landscape at multiple spatial scales of the river basins at the Eastern Amazon fish assemblage
FIGURE 1 | Study area containing 76 streams distributed in four Eastern Amazon basins and land use distribution. Land use: represents all uses (e.g., pasture, agriculture, and urbanization).
FIGURE 4 in Fish responses to multiple scales in coastal blackwater Atlantic Forest streams in Southeast Brazil
FIGURE 4 | Redundancy analysis (RDA) explaining the relationship between selected local, landscape, and spatial variables and fish species. Vector lines indicate the relationship of significant environmental variables to the ordination axis. TDS – Total Dissolved Solids; AR – Areas under Regeneration; PCNM1 – Spatial Component represented by the Principal Coordinates of Neighbor Matrices. Species are indicated by black dots. Acronyms according to Tab. 3
FIGURE 3 in Fish responses to multiple scales in coastal blackwater Atlantic Forest streams in Southeast Brazil
FIGURE 3 | Venn diagram showing the variance partition of local, regional and spatial variables in explaining the composition of fish communities. a = fraction of exclusive explanation of local variables; b = fraction of exclusive explanation of landscape variables; c = fraction of exclusive explanation of spatial variables; d = fraction of shared explanation between local and landscape variables; e = fraction of shared explanation between landscape and spatial variables; f = fraction of shared explanation between local and spatial variables; g = fraction of shared explanation among local, landscape and spatial variables.
FIGURE 1 in Fish responses to multiple scales in coastal blackwater Atlantic Forest streams in Southeast Brazil
FIGURE 1 | Location of the study area in the coastal region of the state of São Paulo, indicating the Baixada Santista and Northern Coast basins and the distribution of the sampling sites in the Itapanhaú (JP1, JP2, VA), Itaguaré (MP, PM, GU), Guaratuba (P1–P6), and Una (BB1, BB2) sub-basins (Adapted from Esteves et al., 2019). In detail, sites of the Guaratuba sub-basin and main landscape types.
FIGURE 2 in Fish responses to multiple scales in coastal blackwater Atlantic Forest streams in Southeast Brazil
FIGURE 2 | Nonmetric Multidimensional Scaling (NMDS) plot of Axis 1 and Axis 2 of the total fish density of 14 blackwater streams. Stream codes according to Tab. 1.
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.