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Figure 3 from: Costa-Campos CE, Freire EMX (2019) Richness and composition of anuran assemblages from an Amazonian savanna. ZooKeys 843: 149-169. https://doi.org/10.3897/zookeys.843.33365
Figure 3 Anurans recorded in the savanna area from the Experimental Field of the Brazilian Agricultural Research Corporation – EMBRAPA, municipality of Macapá, Amapá State, northern Brazil: ARhinellamajorBRhinella sp. CR.marinaDBoanamultifasciataEB.punctataFB.ranicepsGDendropsophuscf.walfordiHOsteocephalustaurinusIScinaxfuscomarginatusJS.nebulosusKS.ruberLS.x-signatusMTrachycephalustyphoniusNPseudopaludicolabolivianaOAdenomerahylaedactylaPLeptodactylusfuscusQL.macrosternumRL.pentadactylusSL.podicipinusTPithecopushypochondrialis, and UElachistocleishelianneae.
Figure 6 from: Costa-Campos CE, Freire EMX (2019) Richness and composition of anuran assemblages from an Amazonian savanna. ZooKeys 843: 149-169. https://doi.org/10.3897/zookeys.843.33365
Figure 6 Order by MDS of physiognomies in the savanna area physiognomies, sampled in the Experimental Field of the Brazilian Agricultural Research Corporation – EMBRAPA, municipality of Macapá, Amapá State generated from the Bray-Curtis similarity matrix. Grassland savanna (GS); scrub grassland savanna (SG); parkland savanna (PS); open woodland savanna (OW).
Figures 6-7 in Snake assemblages of Marajó Island, Pará state, Brazil
Figures 6-7. Seasonal variation in frequency of eggs, embryos and offspring of aquatic and semi-aquatic species (6) and terrestrial, arboreal and semi-arboreal species (7) in the Marajó Island, Pará, Brazil.
Figure 3 in Snake assemblages of Marajó Island, Pará state, Brazil
Figure 3. Grouping dendrogram of resource use based on diet and use of foraging substrate data from 61 species recorded in forested areas at Marajó Island, Pará, Brazil.
Figure 1 in Snake assemblages of Marajó Island, Pará state, Brazil
Figure 1. Map showing the location of the Marajó Island, its main plant formations and the territorial boundaries of its municipalities. Modified from Projeto RADAM (1974).
Figure 2 in Snake assemblages of Marajó Island, Pará state, Brazil
Figure 2. Grouping dendrogram of resource use based on diet and use of foraging substrate data from species recorded in open areas at Marajó Island, Pará, Brazil.
Fig. 2 in The invasive white ginger lily (Hedichium coronarium) simplifies the trait composition of an insect assemblage in the littoral zone of a Savanna reservoir
Fig. 2. The average values of FD indices of aquatic insect assemblages in invaded and non-invaded bank by white ginger lily of a reservoir in Brazilian Savanna (Cerrado Biome). A – FDis, B – FEve, C – FDiv. FD, Functional Diversity; FDis, Functional Dispersion; FEve, Functional Evenness; FDiv, Functional Divergence.
Fig. 1 in Diurnal flight periodicity of a Neotropical ant assemblage (Hymenoptera, Formicidae) in the Atlantic Forest
Fig. 1. The relationship between hour and flight activity of a Neotropical ant assemblage given sampling effort (four Malaise traps), based on hourly sampling summary from five days. The solid lines were obtained by the locally weighted smoother (function loess in R).
Fig. 2 in Diurnal flight periodicity of a Neotropical ant assemblage (Hymenoptera, Formicidae) in the Atlantic Forest
Fig. 2. The relationship between hour and flight activity of a Neotropical ant assemblage through a 24 h time scale.The solid lines were obtained by the locally weighted smoother (function loess in R).
Fig. 5 in Diurnal flight periodicity of a Neotropical ant assemblage (Hymenoptera, Formicidae) in the Atlantic Forest
Fig. 5. Phenologies of flight activity for all species represented by eight or more specimens in total. Species are sorted on the vertical axis according to the pondered average of hour of flight, producing the observed diagonalization from early morning on top to nocturnal on the bottom. Frequencies are normalized from 0.0 to 1.0.
Fig. 4 in Spatial variation of dung beetle assemblages associated with forest structure in remnants of southern Brazilian Atlantic Forest
Fig. 4. Redundancy analysis ordination for dung beetle abundance (a) and biomass (b) constrained by environmental variables. Triplot with explanatory variables, species and samples: sp. 1: Bdelyrus braziliensis; sp. 2: Canthidium aff. trinodosum; sp. 3: Canthon luctuosus; sp. 4: Canthon rutilans cyanescens; sp. 5: Canthonella aff. instriata; sp. 6: Coprophanaeus dardanus; sp. 7: Coprophanaeus saphirinus; sp. 8: Deltochilum brasiliense; sp. 9: Deltochilum furcatum; sp. 10: Deltochilum morbillosum; sp. 11: Deltochilum multicolor; sp. 12: Deltochilum rubripenne; sp. 13: Dichotomius sericeus; sp. 14: Dichotomius quadrinodosus; sp. 15: Dichotomius sp.; sp. 16: Eurysternus cyanescens; sp. 17: Eurysternus parallelus; sp. 18: Paracanthon aff. rosinae; sp. 19: Phanaeus splendidulus; sp. 20: Uroxys sp. 1; sp. 21: Uroxys sp. 2; A: basal area of first tree; B: height of first tree; C: top diameter of first tree; D: distance to first tree; E: basal area of first shrub; F: height of first shrub; G: top diameter of first shrub; H: distance to first shrub; I: land slope; J:altitude; K: leaf litter cover; L:green cover; M: exposed soil; N: height of leaf litter; O: canopy cover; 1–25: ANH sampling points; 26–50: ITA sampling points; 51–75: PER sampling points; 76–100: RAT sampling points.
Fig. 3 in Spatial variation of dung beetle assemblages associated with forest structure in remnants of southern Brazilian Atlantic Forest
Fig. 3. Multivariate Regression Tree (MRT) analysis of the dung beetle abundance (a) and biomass with environmental variables as predictor variables. Environmental variables: A, basal area of trees; I, land slope; J, altitude; N, height of leaf litter; O, canopy cover. Species names are abbreviated and can be found in legend of Fig. 4 and in Appendix C. Bar charts at the terminal leaves of the regression tree represent species abundance means. The order of bars in each bar chart are the same and follows the sequence of names showed at left.
Fig. 1 in Spatial variation of dung beetle assemblages associated with forest structure in remnants of southern Brazilian Atlantic Forest
Fig. 1. Map of the Atlantic Forest remnants where dung beetles were sampled during January and February 2012. Anhatomirim Environmental Protection Area in Governador Celso Ramos city; Permanent Protection Areas of Itapema city; Peri Lagoon Municipal Park in Florianópolis city; Permanent Protection Areas of Ratones in Florianópolis city.
Fig. 1 in Dung beetle (Coleoptera, Scarabaeidae) assemblage of a highly fragmented landscape of Atlantic forest: from small to the largest fragments of northeastern Brazilian region
Fig. 1. Map showing forest fragments evaluated of the Trapiche property (Oliveira, unpublished data); 1: Mata das Cobas; 2: Canto Escuro; 3: Tauá; 4: Ubaca; 5: Xanguá; 6: Xanguazinho. Sirinhaém, Pernambuco, Brazil, 2010.
Figure 2 in Effects of forest conversion on tce assemblages' structure of aquatic insects in subtropical regions
Figure 2. Rarefaction riccness of Epcemeroptera, Plecoptera, and Triccoptera assemblages between streams in botc forested and converted area. Tce upper and lower dasced lines indicate tce confidence intervals (95%) calculated for eacc category.
Fig. 2 in Bee assemblage in habitats associated with Brassica napus L.
Fig. 2. Distribution of bee groups in three habitats classes of agricultural areas with Brassica napus (Hyola 420) from August 2010 to October 2011 in Esmeralda, Rio Grande do Sul, Brazil.
Figure 1 in Enchytraeid assemblages at the foot of a talus slope in Skansbukta on the Arctic island of Spitsbergen
Figure 1. Enchytraeid vertical distribution at the two sites at the foot of a talus slope at Skansbukta (Spitsbergen): Lower Slope (left) and Flat Area (right).
Fig. 7 in Benthic Foraminiferal Assemblages and Biotopes in a Coastal Lake: The Case Study of Lake Varano (Southern Italy)
Fig. 7. PCA ordination diagram by projecting variables on the factor-planes (a: 1 × 2 and b: 3 × 4). The secondary variables are marked with a black square.
Fig. 6 in Benthic Foraminiferal Assemblages and Biotopes in a Coastal Lake: The Case Study of Lake Varano (Southern Italy)
Fig. 6. Dendrogram classification of the stations produced by a Q-mode cluster analysis using the Linkage Distance.
Fig. 4 in Benthic Foraminiferal Assemblages and Biotopes in a Coastal Lake: The Case Study of Lake Varano (Southern Italy)
Fig. 4. Benthic foraminiferal assemblages' parameters from Lake Varano. The sampling stations are shown here as black dots.
ScienceDex guides
Understand access before you commit
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.