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Figure 12 in Spatial and temporal variations of fish communities in the longitudinal gradient of the Mono River (Benin and Togo: West Africa)
Figure 12. – Correlation circle of the environmental variable, which discriminate clusters (n = 3) defined by the self-organizing map for stations in the F1 x F2 design for the factorial discriminant analysis. Dis, distance from source; FoBa, forest area; CaHi, canopy height; Vol, flow velocity; Cond, conductivity; Trans, water transparency; Alt, altitude.
Figure 7 in Spatial and temporal variations of fish communities in the longitudinal gradient of the Mono River (Benin and Togo: West Africa)
Figure 7. – Hierarchical classification of the nodes of the Kohonen map based on the species richness of the sites (n = 10). A: Self-organizing map (SOM) (20 nodes); B: Hierarchical clustering of the SOM nodes with a Ward linkage method and a Euclidean distance: the numbers (i.e. ranging from 1 to 20) correspond to those assigned on each node of the SOM.
FIGURE 4 in Spatial and temporal variation of the diet of the flag tetra Hyphessobrycon heterorhabdus (Characiformes: Characidae) in streams of the Eastern Amazon
FIGURE 4 | Variation of the diet of Hyphessobrycon heterorhabdus among stream orders during A. dry and B. flood periods in eight streams of a protected area in the Eastern Amazon, Brazil.
FIGURE 2 in Spatial and temporal variation of the diet of the flag tetra Hyphessobrycon heterorhabdus (Characiformes: Characidae) in streams of the Eastern Amazon
FIGURE 2 | Feeding strategy revealed by Amundsen diagram of Hyphessobrycon heterorhabdus sampled in eight streams of a protected area in the Eastern Amazon, Brazil. A, C, E, and G represent feeding during the dry period, while B, D, F, and H represent the flood period. A and B show the diet considering all streams, whilst C and D represent 1st order streams, E and F represent 2nd order streams, and G and H represent 3rd order streams. V01 = Ephemeroptera (nymph); V02 = Odonata (larvae); V03 = Coleoptera (larvae); V04 = Diptera (larvae); V05 = Diptera (eggs); V06 = Diptera (pupae); V07 = Exoskeleton fragments (autochthonous source); V08 = Exoskeleton fragments (unknown source); V09 = Exoskeleton fragments (allochthonous source); V10 = Isoptera; V11 = Formicidae; V12 = Trichoptera; V13 = Hemiptera; V14 = Ephemeroptera; V15 = Orthoptera; V16 = Coleoptera; V17 = Heteroptera; V18 = Vegetal fragments (allochthonous source).
Fig. 5. a in Local ecological knowledge of fishers about the life cycle and temporal patterns in the migration of mullet (Mugil liza) in Southern Brazil
Fig. 5. a) Whole muscular stomach (gizzard) and b) Opened gizzard, with sand and mud (in March), both of mullet (Mugil liza).
Fig. 3 in Local ecological knowledge of fishers about the life cycle and temporal patterns in the migration of mullet (Mugil liza) in Southern Brazil
Fig. 3. Percentage of the interviewed fishers (n=45) that cited the month when mullet exiting lagoons/estuaries ('criadouros') for migration, spawning and return. Some fishermen cited more than one month for each event, five did not knew about when spawning occurred and seven when mullets returned to the lagoons/estuaries.
Fig. 4 in Local ecological knowledge of fishers about the life cycle and temporal patterns in the migration of mullet (Mugil liza) in Southern Brazil
Fig. 4. Abdominal checking of mullet (Mugil liza) sex. a) Female: yellow eggs (n=27) through the urogenital orifice, and b) Male: white eggs/sperm (n=36) through the urogenital orifice.
Fig. 2 in Local ecological knowledge of fishers about the life cycle and temporal patterns in the migration of mullet (Mugil liza) in Southern Brazil
Fig. 2. The life cycle of the mullet Mugil liza following local ecological knowledge of fishers from Santa Catarina State: a) Exit of mullets from 'criadouros' or breeding sites (lagoons and estuaries) to the sea (n= 45); b) Migration of mullets known as 'corrida' (run) and recurrent gathering with smaller schools (schooling or thickening process). The outlined map represents the Santa Catarina State coastline and main stopping/fishing sites for mullets. Arrows corresponds to our data-collection sites, which were indicated as main fishing locations; c) Outline of Santa Catarina State island (Florianópolis city) and Bombinhas as most external (to the East) coastal areas and where larger captures of mullets occurs during the fishing season; d) Male and female spawning with respective milky ('ova leiteira') and yellowish ('ova amarela') gonads. According to most of our informants, after fecundation female mullets may hold their eggs under their scales until they become juvenile; e) Northward migration to São Paulo and Rio de Janeiro states, following by their (adults plus juveniles) southward return to lagoons and estuaries; f) Entrance of adult mullets and recruitment of juveniles in lagoons and estuaries; g) Growth and feeding of adults and juveniles in lagoons and estuaries.
Fig. 1 in Local ecological knowledge of fishers about the life cycle and temporal patterns in the migration of mullet (Mugil liza) in Southern Brazil
Fig. 1. Santa Catarina State coast, data collection sites (triangles) and the number of interviewed fishermen (in parenthesis; total N=45).
Figure 1 in Spatio-temporal variability in the Cladocera assemblage of a subtropical hypersaline lagoon
Figure 1. Map of the Rio de Janeiro state coast highlighting the 12 sampling stations in Araruama lagoon.
Figure 5 in Spatio-temporal variability in the Cladocera assemblage of a subtropical hypersaline lagoon
Figure 5. Cladocera Assemblage of Araruama Lagoon from January 2010 to December 2013. Stations 11 and 12 with different scales. E. spinifera (black and white lines arranged laterally); P. tergestina (black with small white spots);P. avitostris (vertical black and white lines); P. polyphemoides (chess pattern); P. sckmackeri (black and white lines waved horizontally).
Figure 3 in Spatio-temporal variability in the Cladocera assemblage of a subtropical hypersaline lagoon
Figure 3. BoxPolt of temperature presented from means and standard deviation, spatial variation (A) and temporal variation (B).
Fig. 4 in Temporal variation in the behavior of Apis mellifera (Hymenoptera: Apidae) and Lycastrirhyncha nitens (Diptera: Syrphidae) on Pontederia sagittata (Commelinales: Pontederiaceae) inflorescences in relation to nectar availability
Fig. 4. Mean (± 95 % CI) standing crop of floral nectar on inflorescences of three floral morphs of Pontederia sagittata during daily periods of video-recording.
Fig. 3 in Temporal variation in the behavior of Apis mellifera (Hymenoptera: Apidae) and Lycastrirhyncha nitens (Diptera: Syrphidae) on Pontederia sagittata (Commelinales: Pontederiaceae) inflorescences in relation to nectar availability
Fig. 3. Mean (± 95 % CI) number and duration of the foraging events recorded by Apis mellifera (A, B) and Lycastrirhyncha nitens (C, D) on inflorescences of L (black circle), M (gray circle) and S (white circle) morphs of Pontederia sagittata during daily periods of video-recording.
Fig. 2 in Temporal variation in the behavior of Apis mellifera (Hymenoptera: Apidae) and Lycastrirhyncha nitens (Diptera: Syrphidae) on Pontederia sagittata (Commelinales: Pontederiaceae) inflorescences in relation to nectar availability
Fig. 2. Total activity time (± 95 % CI) of Apis mellifera and Lycastrirhyncha nites on inflorescences of L (black circle), M (gray circle) and S (white circle) morphs of Pontederia sagittata during daily periods of video-recording.
Fig. 1 in Temporal variation in the behavior of Apis mellifera (Hymenoptera: Apidae) and Lycastrirhyncha nitens (Diptera: Syrphidae) on Pontederia sagittata (Commelinales: Pontederiaceae) inflorescences in relation to nectar availability
Fig. 1. Position of styles and stamens and differences in pollen size in the three floral morphs of Pontederia sp. a) long-styled [L], b) mid-styled [M] and c) shortstyled [S] (Zomlefer 1994). Legitimate pollinations are indicated by arrows.
Raw data for: Spatial and temporal variation in farmland bird nesting ecology: Implications for effective Corn Bunting Emberiza calandra conservation
<p>These are raw data accompanying the study "<span>Spatial and temporal variation in farmland bird nesting ecology: Implications for effective Corn Bunting Emberiza calandra conservation</span>". All information on data origin, data analysis, and derived implications will be available with the original publiation.</p>
Figs. 2-3 in Nueva cita ibérica para la hormiga parásita social temporal Lasius bicornis (Förster, 1850) (Hymenoptera, Formicidae)
Figs. 2-3.- Reina de Lasius bicornis de Casares de Arbás. 2.- Peciolo en vista posterior. Escala: 0,1 mm. 3.- Parte superior del gáster en vista lateral. Escala: 0,5 mm.
Fig. 3. Minimum spanning network for Haemoproteus and Plasmodium mitochondrial DNA cytochrome b in Spatial, temporal, molecular, and intraspecific differences of haemoparasite infection and relevant selected physiological parameters of wild birds in Georgia, USA
Fig. 3. Minimum spanning network for Haemoproteus and Plasmodium mitochondrial DNA cytochrome b haplotypes detected in four species of passerines from Georgia (USA). Circles are drawn proportional to the frequency at which haplotypes were observed. Color represents the host species from which haplotypes originated: red for Northern Cardinal (Cardinalis cardinalis), blue for Indigo Bunting (Passerina cyanea), yellow for White-throated Sparrow (Zonotrichia albicollis), and grey for Tufted Titmouse (Baeolophus bicolor). A single mutation separates nodes unless explicitly indicated by number. Letters within each node refer to Table 8 which indicates the haplotype name, sampling location, and other factors associated with hosts.
Fig. 1 in Spatial, temporal, molecular, and intraspecific differences of haemoparasite infection and relevant selected physiological parameters of wild birds in Georgia, USA
Fig. 1. Map of Georgia (USA) indicating the location of the six sampling sites for identifying haemoparasite infections of birds in the northern and southern regions of the state.
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.