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385 results for “Environmental factors”
Fig. 6 in Influence of environmental factors and sessile biota on vagile epibionts: The case of amphipods in marinas across a regional scale Abstract
Fig. 6: RDA graphic showing the similarity between the amphipod community present in each marina and its relationship with the physical-chemical parameters (CHI = Chipiona, AME = Puerto. América, BAR = Barbate, LIN= La Línea, FUE = Fuengirola, ALM = Almería; Green = Atlantic; Orange = Mediterranean)..
Fig. 6 in Multiple Environmental Factors Increase the Niche Complexity and Species Diversity of Brachyuran Crabs in an Intertidal Algal Reef Ecosystem in Northwestern Taiwan.
Fig. 6. The box plot of abundance of all crab species with a carapace width smaller than 10 mm across the six sites (A) and seasons (B) in the reef habitat. The core volumes are 950 cm3.
Fig. 2 in Multiple Environmental Factors Increase the Niche Complexity and Species Diversity of Brachyuran Crabs in an Intertidal Algal Reef Ecosystem in Northwestern Taiwan.
Fig. 2. The species compositions in all six study sites in the algal reef habitat. Each bar represents the total number of species recorded at each site. Family is the lowest taxonomic category in this figure.
Fig. 3 in Multiple Environmental Factors Increase the Niche Complexity and Species Diversity of Brachyuran Crabs in an Intertidal Algal Reef Ecosystem in Northwestern Taiwan.
Fig. 3. Relationship between the species richness and local contribution to beta diversity (LCBD) indexes among the six sites in the algal reef habitat.
Fig. 5 in Multiple Environmental Factors Increase the Niche Complexity and Species Diversity of Brachyuran Crabs in an Intertidal Algal Reef Ecosystem in Northwestern Taiwan.
Fig. 5. The box plot of abundance of all crab species with carapace width larger than 10 mm for three factors: A: season; B: tidal and sampling time; C: study site and sampling time. The gray bar is daytime; the dark gray bar is night. The high tidal level is the edge between the sand and reef; the medium tidal level is at the algal reef 1 m below sea level.
Fig. 3 in Gastrointestinal parasite infestation in the alpine mountain hare (Lepus timidus varronis): Are abiotic environmental factors such as elevation, temperature and precipitation affecting prevalence of parasite species?
Fig. 3. Parasite infestation in faeces and ambient temperature. Correlation between parasite infestation in Alpine mountain hare faeces (n = 52) and average, minimal, and maximal temperature found in Vorarlberg (Austria) during the years 2014 and 2015. Count visualises the number of faecal samples. See text for details on statistics.
Fig. 2 in Gastrointestinal parasite infestation in the alpine mountain hare (Lepus timidus varronis): Are abiotic environmental factors such as elevation, temperature and precipitation affecting prevalence of parasite species?
Fig. 2. Number of parasite types per faeces and severity of parasitic infestation. Correlation between number of parasite types per Alpine mountain hare faeces and severity of parasitic infestation (n = 28) found in Vorarlberg (Austria) during the years 2014 and 2015. Count visualises the number of faecal samples. The severity of infestation is indicated by scattered ((+)), low (+), intermediate (++), and high (+++) infestation. See text for details on statistics.
Figure. Constrained ordination plot as produced from canonical correspondence analysis (CCA). The variability of environmental variables is summarized on Axis 1 and Axis 2 of the constrained biplot, explaining the variability of the trophic groups included in the red fox's diet. Trophic groups are shown with black line (unfilled) pyramids, whereas environmental variables are shown with black filled pyramids. Proximity and distance of response centroids to predictor centroids indicate positive and negative correlations between them, respectively. in Factors affecting the diet of the red fox (Vulpes vulpes) in a heterogeneous Mediterranean landscape
Figure. Constrained ordination plot as produced from canonical correspondence analysis (CCA). The variability of environmental variables is summarized on Axis 1 and Axis 2 of the constrained biplot, explaining the variability of the trophic groups included in the red fox's diet. Trophic groups are shown with black line (unfilled) pyramids, whereas environmental variables are shown with black filled pyramids. Proximity and distance of response centroids to predictor centroids indicate positive and negative correlations between them, respectively.
Figure 4 in Ephemeroptera, Plecoptera, and Trichoptera assemblages of karst springs in relation to some environmental factors: a case study in central Bosnia and Herzegovina
Figure 4. CCA analyses of the EPT taxa assemblages. WT – Water temperature; pH – pH value; D – discharge; LL – leaf litter; MF – macrophytes; Cond – conductivity; SN – sand; DET – detritus.
Fig. 4 in Factors that alter the biochemical biomarkers of environmental contamination in Chironomus sancticaroli (Diptera, Chironomidae)
Fig. 4. Effect of sample centrifugation on the activity of acetylcholinesterase (AChE), alpha esterase (EST-α), and beta alpha esterase (EST-β) of Chironomus sancticaroli. The values are expressed as the mean value of enzyme activity ± SD (n = 30 for each condition). Different letters indicate significant differences when p <0.05 (using paired t-test).
Fig. 2 in Factors that alter the biochemical biomarkers of environmental contamination in Chironomus sancticaroli (Diptera, Chironomidae)
Fig. 2. Effect of fasting for 24 h (A); 48 h (B) and 72 h (C) on the activity of acetylcholinesterase (AChE), alpha esterase (EST-α), and beta alpha esterase (EST-β) of Chironomus sancticaroli. The values are expressed as the mean value of enzyme activity ± SD (n = 30 for each condition). Different letters indicate significant differences when p <0.05 (using unpaired t-test).
Fig. 1 in Factors that alter the biochemical biomarkers of environmental contamination in Chironomus sancticaroli (Diptera, Chironomidae)
Fig. 1. Effect of temperature (20, 25 and 30 ◦C) on the activity of acetylcholinesterase (AChE), alpha esterase (EST-α), and beta alpha esterase (EST-β) of Chironomus sancticaroli. The values are expressed as the mean value of enzyme activity ± SD (n = 30 for each condition). Different letters indicate significant differences when p <0.05 (using ANOVA – one way and Tukey contrast).
Figure 2 in Impacts of environmental factors on zooplankton taxonomic diversity in coastal lagoons in Turkey
Figure 2. Venn diagram showing identified zooplankton taxa distribution and number of taxa (in parentheses) in the lagoons.
Figure 5 in Interactions between environmental factors and the mesozooplankton community from the Romanian Black Sea waters
Figure 5. Analysis of the main components (PCA) for the environmental factors from the Romanian Black Sea, by sector and season, 2013–2020.
Figure 6 in Interactions between environmental factors and the mesozooplankton community from the Romanian Black Sea waters
Figure 6. Statistically significant correlation (p <0.05) between the mesozooplankton groups and environmental factors grouped by isobaths, 2013–2020.
Fig. 1 in Environmental and ecological factors driving trematode parasite community assembly in central Alberta lakes
Fig. 1. Host-Parasite diversity correlations. Spearman rank correlations of A) snail and trematode richness, pooled by site, B) non-pooled, sample-based, snail and trematode richness, C) snail and trematode effective species based on Shannon index (exp(H)) for all lakes, and D) effective species by each site at Buffalo Lake. PP = Pelican Point, RS = Rochon Sands, TN = The Narrows.
Fig. 3 in Environmental and ecological factors driving trematode parasite community assembly in central Alberta lakes
Fig. 3. Canonical correspondence analysis (CCA) of trematode component communities. Relative abundances of trematode species by sample are constrained by environmental variables from the best-fit model (community \lake trophic status \+ ecoregion \+ latitude). Trematode species abbreviations are shown in grey. CCA results are in red as eigenvectors. Ecoregions are identified with a blue dotted line. The trophic status of each lake is identified with an ellipse.
Fig. 2 in Environmental and ecological factors driving trematode parasite community assembly in central Alberta lakes
Fig. 2. Multivariate Homogeneity of Group Dispersion for Trematode Communities. Bray-Curtis dissimilarities were used to examine the homogeneity of variance among samples (trematode species counts) when grouped by different geographical or anthropogenic-use distinctions. The left panels show the twodimensional visualizations of the data by Principal Coordinate Analysis (PCA) plots. Each grouping is labeled in the center, and ellipses represent 95% confidence intervals. The right panels provide a boxplot of the distance to centroid for each group in the multivariate analysis. A) samples grouped by site, B) grouped by river basin, C) grouped by ecoregion, D) group by site-type or anthropogenic use (beach or boat launch). Statistical significance for differences between groups is indicated by an asterisk.
Fig. 2 in Predicting the risk of Alaria alata infestation in wild boar on the basis of environmental factors
Fig. 2. The prevalence of A. alata in wild boar in provinces in Poland calculated from literature values and data from the present study (A) and predicted by percentage of areas covered by WETLANDS (B) (for detailed information, see: Methods). The figure shows prevalence values for a given province and confidence intervals (lower; upper).
Supplementary data for "Individual quality and environmental factors interact to shape reproduction and survival in a resident bird of prey"
<p><strong>Abstract</strong></p> <p>The archive contains data file and R-Script to reproduce the results presented in the paper “Individual quality and environmental factors interact to shape reproduction and survival in a resident bird of prey” published in Royal Society Open Science.</p> <p><strong><span> </span></strong></p>
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.