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Fig. 2 in Relationships between morphology, diet and spatial distribution: testing the effects of intra and interspecific morphological variations on the patterns of resource use in two Neotropical Cichlids
Fig. 2. Head of Satanoperca pappaterra (a) and Crenicichla britskii (b), showing differences in the mouth protrusion.
Figure 13 in Spatial and temporal variations of fish communities in the longitudinal gradient of the Mono River (Benin and Togo: West Africa)
Figure 13. – Indicator species for each cluster of the dendrogram resulting from the self-organizing map procedure (n = 10). IndVal values (in %) are shown in brackets. Shown indicator values (p <0.05) are only those greater than 25%.
Figure 2 in Spatial and temporal variations of fish communities in the longitudinal gradient of the Mono River (Benin and Togo: West Africa)
Figure 2. – Variation (average and standard deviation) in species richness by sampling sites. Site order follows the upstream-downstream gradient.
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).
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>
Fig. 1 in Spatial variation of summer microphytoplankton and zooplankton communities related to environmental parameters in the coastal area of Djerba Island (Tunisia, Eastern Mediterranean) Abstract
Fig. 1: Location of sampling stations along the western and eastern coasts of Djerba Island. The grey contour lines in the maps show the position of the isobaths and the numbers in parenthesis indicate the depths of these isobaths.
Fig. 3 in Environmental determinants of spatial and temporal variations in the transmission of Toxoplasma gondii in its definitive hosts
Fig. 3. Predicted relationships between NAO winter index and the probability of seropositivity for Toxoplasma gondii in all cats sampled; (a) juveniles and (b) adults. Points represent the observed seoprevalence values with 95% confidence intervals as whiskers. A median farm density (0.68 farm/km2) was used to calculate the predictions (full line). Minimal farm density (0 farm/km2) observed among sampled communes was used to calculate the minimal predictions of the model (dotted lines). High values of farm density (2 and 4 farms/km2) were used to calculate the maximal predictions of the model (dashed and dotted-dashed lines).
Fig. 2 in Environmental determinants of spatial and temporal variations in the transmission of Toxoplasma gondii in its definitive hosts
Fig. 2. Interannual variations in Toxoplasma gondii seroprevalence in the three types of cats standardised by age (bars) during the study period. Line segments represent the 95% confidence intervals for seroprevalence, and the numbers in brackets indicate the sample sizes. Wildcats (Felis s. silvestris), domestic cats (Felis s. catus) and hybrids are pooled.
Fig. 1 in Environmental determinants of spatial and temporal variations in the transmission of Toxoplasma gondii in its definitive hosts
Fig. 1. European wildcat (Felis s. silvestris) distribution in France (grey area; Léger et al., 2008; Say et al., 2012), and locations of samples from domestic cats (Felis s. catus), wildcats and their hybrids. Cat types are represented by different symbols (see the bottom left of the map). One location might correspond to several individuals (1, 2, 3, or 8), the size of the dot being proportional to the number (indicated at the right of the symbols) of individuals collected in each commune.
Fig. 2 in Spatial variation of dung beetle assemblages associated with forest structure in remnants of southern Brazilian Atlantic Forest
Fig. 2. Principal coordinates analysis (PCoA) of dung beetle species based on Bray–Curtis similarity and environmental variables based on Euclidean distance. The analysis was performed using presence–absence (a), abundance (b) and biomass (c) data of dung beetles, and 15 environmental variables (d). ANH: Anhatomirim Environmental Protection Area; ITA: Permanent Protection Areas of Itapema; PER: Peri Lagoon Municipal Park; RAT: Permanent Protection Areas of Ratones.
Figure 4 in Spatial and temporal variations of soft bottom polychaetes of Sinop Peninsula (southern Black Sea) with new records
Figure 4. Biplot of CCA performed on the total abundance of species and environmental variables recorded in the study area (DO: dissolved oxygen, OM: organic matter, TDS: total dissolved solids, WC: water content, Si: silicate, VFP: very fine pebbles, CS: coarse sand, MS: medium sand, FS: fine sand, VFS: very fine sand, VCS: very coarse silt).
Figure 4 in Temporal variation and spatial distribution of the pest insect Edessa meditabunda in cotton (Gossypium hirsutum) as an alternative host plant
Figure 4. Surface maps constructed based on Inverse Distance Weight (IDW) interpolation showing spatial distribution of nymphs + adults in cotton between 55 (A) 70 (B), 77 (C), 84 (D), 91 (E) days after emergence (DAE) and Sum of all Evaluations (F). Low density is represented in green while red indicates high density of E. meditabunda.
Figure 3 in Temporal variation and spatial distribution of the pest insect Edessa meditabunda in cotton (Gossypium hirsutum) as an alternative host plant
Figure 3. Surface maps constructed based on Inverse Distance Weight (IDW) interpolation showing spatial distribution of adults in cotton between 55 (A) 70 (B), 77 (C), 84 (D), 91 (E) days after emergence (DAE) and Sum of all Evaluations (F). Low density is represented in green while red indicates high density of E. meditabunda.
Figure 1 in Temporal variation and spatial distribution of the pest insect Edessa meditabunda in cotton (Gossypium hirsutum) as an alternative host plant
Figure 1 Temporal variation of Edessa meditabunda population in the alternative host plant Gossypium hirsutum (cotton) in experimental Field of Dourados, Brazil.
Figure 2 in Spatial variation of larval ascaridoid nematode (Nematoda: Chromadorea: Ascaridoidea infections in the Black Sea anchovy (Engraulis encrasicolus)
Figure 2. Number of infested (positive in blue) and noninfested (negative in red) anchovy samples by length.
Figure 1 in Spatial variation of larval ascaridoid nematode (Nematoda: Chromadorea: Ascaridoidea infections in the Black Sea anchovy (Engraulis encrasicolus)
Figure 1. (a) Trawl (+) and CTD* (x) stations (for in situ conductivity, temperature, and depth measurements), and the prevalence of parasites (% infestation) in the sampling stations. (b) Thermocline profile of the CTD stations. *a package of in situ electronic instruments that measure conductivity, temperature, and depth.
Fig. 4 in Ontogenetic, spatial and temporal variations in the feeding ecology of Deuterodon langei Travassos, 1957 (Teleostei: Characidae) in a Neotropical stream from the Atlantic rainforest, southern Brazil
Fig. 4. MDS on the different sizes, sites and seasonal independent groups. The total length (Lt) categories compared were Juveniles (J = Lt <3 cm), Semi-adults (S = 3 8 cm). The three sites sampled along the catchment were: site 1 (P1), an upstream first order section of the basin near its spring; site 2 (P2), a second order middle section of the basin; and site 3 (P3), a downstream third order section of the basin. Seasons compared were: VER=summer (December, January and February), OUT=Autumn (March, April and May), INV=Winter (June, July andAugust) and Spring=PRI (September, October and November).
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.