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Figure An2. Distribution of mineral phosphorus (a), silica (b), nitrate (c) and nitrite nitrogen (d). in Phytoplankton assemblages under hydrochemical conditions of the Volga River Delta
Figure An2. Distribution of mineral phosphorus (a), silica (b), nitrate (c) and nitrite nitrogen (d).
Figure 8 in Phytoplankton assemblages under hydrochemical conditions of the Volga River Delta
Figure 8. Distribution of biotopic conditions identified as a result of cluster analysis of factors reflecting the intensity of production and destruction processes (AOU, Chl-a, and Pheo). Blue – A, Green – B, Purple – M6 station, Red – M5 station.
Figure 7 in Phytoplankton assemblages under hydrochemical conditions of the Volga River Delta
Figure 7. Types of biotopic conditions identified by production and destruction characteristics (AOU, Chl-a, and Pheo).
Fig. 3 in Spatial and seasonal patterns in fish assemblage in Córrego Rico, upper Paraná River basin
Fig. 3. Non-metric multidimensional scaling (NMDS) ordination based on fish abundance data from Córrego Rico: a) Stretches grouped in upper, middle and lower (S1 to S7; d- dry season and r- rainy season). b) Stretches (S1 to S7; d- dry season and r- rainy season); fish species with highest correlations with the axis (Ser-het: Serrapinnus heterodon; Par-oxy: Paravandellia oxyptera; Pia-arg: Piabina argentea; Geo-bra: Geophagus brasiliensis; Ser-not: Serrapinnus notomelas; Che-est: 'Cheirodon' stenodon); environmental variables with highest correlations with the fish assemblage (Dis: discharge; Wid: width; O%: dissolved oxygen; Vel: water velocity; Am: ammonia; Nit: Nitrate). Vectors show the direction and magnitude of correlations.
Fig. 5 in Environmental heterogeneity causes differences in the amphibian assemblage structure of an undisturbed montane cloud forest in southern Mexico
Fig. 5. Canonical Correspondence Analysis of the most common amphibians. The arrow orientation and length represent the association, direction, and strength between the environmental variables and the ordination axis. Species names correspond to: Crm (C. matudai), Plm (Pl. matudai), Pls (Pl. sagorum), Pte (Pt. euthysanota), Bof (B. franklini), Boo (B. occidentalis), and Dex (D. xolocalcae) Environmental acronyms correspond to: Hum (Humidity), Understory_Den (Under story density), Le_Li_depth (leaf litter depth), and Temp (temperature).
Fig. 4 in Environmental heterogeneity causes differences in the amphibian assemblage structure of an undisturbed montane cloud forest in southern Mexico
Fig. 4. (a) Principal Component Analysis, grouping the eight sites present in the core zones according to eight environmental variables taken in each site. Blue triangles: TCZ (El Triunfo core zone) sites; pink circles: QCZ (El Quetzal core zone) site. (b) Eight environmental variables measured in the eight sites (four per core zone). Median (solid line), 25th and 75th percentiles (boundaries of boxes), minimum and maximum (lines).
Fig. 1 in Environmental heterogeneity causes differences in the amphibian assemblage structure of an undisturbed montane cloud forest in southern Mexico
Fig. 1. Location of the two sampled zones, El Triunfo core zone [TCZ] (1) and the El Quetzal core zone [QCZ] (3), in the El Triunfo Biosphere Reserve (ETBR), Sierra Madre de Chiapas, Mexico, and illustration of the sample design (core zones, sites, and plots).
Fig. 3 in Environmental heterogeneity causes differences in the amphibian assemblage structure of an undisturbed montane cloud forest in southern Mexico
Fig. 3. (a) Rank-abundance Curves for the El Triunfo core zone [TCZ] and Quetzal core zone [QCZ] in the El Triunfo Biosphere Reserve. Letters on the Rank-abundance Curves correspond to Crm (C. matudai), Crs (C. stuarti), Pll (Pl. lacertosa), Plh (Pl. hartwegii), Plm (Pl. matudai), Pls (Pl. sagorum), Dus (D. schmidtorum), Pte (Pt. euthysanota), Exs (E. sumichrasti), Lim (L. maculatus), Bof (B. franklini), Boo (B. occidentalis), Bofl (B. flavimembris), and Dex (D. xolocalcae). (b) Nonmetric multidimensional scaling of the eight sites within the core zones in the ETBR. Blue triangles: TCZ sites, pink circles: QCZ sites. (c) Dendrogram of functional groups of the El Triunfo core zone amphibian species, using Euclidian Distance, and tested functional groups by ANOSIM are highlighted in different colors (FG1: green; FG2: brown; FG3: blue; FG4: red, and FG5: yellow).
Fig. 2 in Environmental heterogeneity causes differences in the amphibian assemblage structure of an undisturbed montane cloud forest in southern Mexico
Fig. 2. Box plots of amphibian species diversity in the El Triunfo Biosphere Reserve (ETBR), Chiapas, Mexico, showing the median (solid line), 25th and 75th percentiles (boundaries of boxes), and minimum and maximum (lines). (a) Number of individuals, (b) Species richness (0D), (c) Common species (1D), and (d) Dominant species (2D).
Fig. 1 in Helminth's assemblage of a small frog in the Brazilian semiarid: parasite-host-environment relationships
Fig. 1. Parasite load (total number of helminths per host) between females (N= 41) and males (N= 53) of Pseudopaludicola pocoto (Anura) from AssÚ municipality, Rio Grande do Norte state, northeastern Brazil.
Fig. 3 in Anuran assemblage changes along small-scale phytophysiognomies in natural Brazilian grasslands
Fig. 3. Anuran species found in two phytophysiognomy types of EstaÇão Ecológica do Taim, southern Brazil, between May 2011 and April 2012. The pink, green and mixed circles (green and pink) indicate the species that were recorded, respectively, in grassland areas, forest areas, and in both areas. (a) Elachistocleis bicolor (GuÉrin-MÉneville, 1838); (b) Boana pulchella (DumÉril & Bibron, 1841); (c) Leptodactylus gracilis (DumÉril & Bibron, 1840); (d) Leptodactylus latinasus (JimÉnez de la Espada, 1875); (e) Leptodactylus luctator (Hudson, 1892); (f) Odontophrynus maisuma (Reinhardt & LÜtken, 1862); (g) Physalaemus biligonigerus (Cope, 1861); (h) Physalaemus gracilis (Boulenger, 1883); (i) Pseudis minuta (GÜnther, 1858); (j) Pseudopaludicola falcipes (Hensel, 1867); (k) Rhinella dorbignyi (DumÉril & Bibron, 1841); (l) Scinax granulatus (Peters, 1871); (m) Scinax squalirostris (Lutz, 1925).
Fig. 2 in Anuran assemblage changes along small-scale phytophysiognomies in natural Brazilian grasslands
Fig. 2. Phytophysiognomies of ESEC Taim, Rio Grande do Sul, Brazil: (A) sites of grassland dominance and (B) sites of forest dominance.
Fig. 1 in Anuran assemblage changes along small-scale phytophysiognomies in natural Brazilian grasslands
Fig. 1. Geographic location of the study site (C) on the EstaÇão Ecológica do Taim (B) in the state of Rio Grande do Sul (A), Brazil.
Fig. 1 in Helminth's assemblage of Trachemys dorbigni (Testudines: Emydidae) in southern Brazil: implications of anthropogenic environments and host's genders
Fig. 1. Overall layout of the collection environments in the study of helminth assemblage of Trachemys dorbigni in southern Brazil: A, detail of the Centro Agropecuário da Palma (UFPel), rural area of CapÃo do LeÃo, State of Rio Grande do Sul, Brazil; B, detail of the urban Área of Pelotas, Rio Grande do Sul, Brazil. Source: extracted and modified the site Google® Earth (©2014 Google – Images ©2014 Digital Globe).
Fig. 3 in Taxonomic and functional diversity of mollusk assemblages in a tropical rocky intertidal zone
Fig. 3. Contribution of taxonomic groups (Gastropoda, Bivalvia, Polyplacophora) to quantitative (Abundance %DI) and qualitative (Species richness %DQ) dominances for each habitat (ALG, algae habitat;BAR, bare rock; BNC, barnacle belt; MUS, mussel beds) in the rocky intertidal zone of Morro de Pernambuco, IlhÉus, Bahia, Brazil.
Fig. 1 in Taxonomic and functional diversity of mollusk assemblages in a tropical rocky intertidal zone
Fig. 1. Substrate characterization of the rocky intertidal zone of Morro de Pernambuco, IlhÉus, Bahia, Brazil. Intertidal zones (High, Mid and Low) and percent cover (mean) of algae habitat (ALG), bare rock (BAR), barnacle belt (BNC) and mussel beds (MUS).
Fig. 5 in Taxonomic and functional diversity of mollusk assemblages in a tropical rocky intertidal zone
Fig. 5. Index of trophic diversity (ITD) calculated (mean ± SE, standard error) for each habitat (ALG, algae habitat; BAR, bare rock; BNC, barnacle belt; MUS, mussel beds) in the rocky intertidal zone of Morro de Pernambuco, IlhÉus, Bahia, Brazil. Significant differences are indicated with different letters (Tukey's test: p<0.05).
Fig. 2 in Taxonomic and functional diversity of mollusk assemblages in a tropical rocky intertidal zone
Fig. 2. Mollusk assemblages: number of individuals (Abundance), number of species (Species richness) and diversity indices (Shannon-Weaver H' and Pielou's evenness J) calculated (mean ± SE) measured for each habitat (ALG, algae habitat; BAR, bare rock; BNC, barnacle belt; MUS, mussel beds) in the rocky intertidal zone of Morro de Pernambuco, IlhÉus, Bahia, Brazil. Significant differences are indicated with different letters (Tukey's test: p<0.05).
Fig. 2 in Bat assemblages of protected areas in the state of Rio de Janeiro, Brazil
Fig. 2. Non-metric multidimensional scaling (NMDS) of the Bray-Curtis distance matrix, showing the dissimilarities between the strict nature reserves (P) and the sustainable-use protected areas (U) in the state of Rio de Janeiro, Brazil surveyed between 1989 and 2013.
Fig. 1 in Bat assemblages of protected areas in the state of Rio de Janeiro, Brazil
Fig. 1. Protected areas in the state of Rio de Janeiro in which bat inventories have been conducted. The inset shows the location of Southeast Brazil in South America (the numbers correspond to those in Table III).
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.