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220 results for “sampling method”
Figure 5 in Efficiency of sampling methods for capturing soil-dwelling ants in three landscapes in southern Cameroon
Figure 5: Differentiation coefficient based on species richness (left) and Simpson's index (right) in three sampling methods (A) Bait, (B) Pitfall, (C) Quadrat.
Figure 4 in Efficiency of sampling methods for capturing soil-dwelling ants in three landscapes in southern Cameroon
Figure 4. Differentiation coefficient based on species richness (left) and simpson's index (right) in three habitats: (A) Upland, (B) Littoral, (C) Urban.
Figure 1. DNA extraction with two different protocols from different noninvasive samples. Lines 1, 3, 5 in Evaluation of methods for molecular sex-typing of three heron species from different DNA sources
Figure 1. DNA extraction with two different protocols from different noninvasive samples. Lines 1, 3, 5, and 7: DNA extraction with commercial kit; Lines 2, 4, 6, and 8: DNA extracted with modified standard protocol. Lines 1–2: eggshells (Grey Heron); lines 3–4: eggshell swabs (Grey Heron); lines 5–6: pin feathers (Purple Heron); lines 7–8: contour feathers (Great Egret); 9: negative control; M: molecular marker.
Figure. Location of the study area in the Czech Republic near Nové Losiny village (marked by star), delimitation of the studied meadows and placement of pan-traps transects within them. in Comparison of two methods for sampling orthopterans in grassland: differences in species representation and sex ratios
Figure. Location of the study area in the Czech Republic near Nové Losiny village (marked by star), delimitation of the studied meadows and placement of pan-traps transects within them.
Fig. 3 in Field sampling methods for Asiatic garden beetle (Coleoptera: Scarabaeidae) adult movement and flight in the Great Lakes region
Fig. 3. Mean number of Maladera formosae adults captured in milkjug traps containing either water, ethylene glycol antifreeze, or propylene glycol antifreeze, from 14 to 21 Jul 2021 (a) and from 21 to 28 Jul 2021 (b) in soybean at the Fulton3 site near Wauseon, Ohio. Uppercase letter(s) above each bar indicates significant differences at the P ≤ 0.05 level from pairwise comparison analyses.
Fig. 2 in Field sampling methods for Asiatic garden beetle (Coleoptera: Scarabaeidae) adult movement and flight in the Great Lakes region
Fig. 2. Mean number of Maladera formosae adults captured in pitfall traps during individual evaluation periods at Fulton1 (a) and Fulton2 (b) sites, in northwest Ohio. Uppercase letter(s) above each bar indicates significant differences at the P ≤ 0.05 level from pairwise comparison analyses. Traps were deployed on 28 Jun 2017, 1 wk prior to the sampling data indicated in each figure.
Fig. 1 in Field sampling methods for Asiatic garden beetle (Coleoptera: Scarabaeidae) adult movement and flight in the Great Lakes region
Fig. 1. Sampling methods for Maladera formosae adults: within field – pitfall trap (a) and yellow sticky card (b); at field edge – blacklight trap (c), and antifreeze milkjug trap (d). Photo credit: Adrian Pekarcik, The Ohio State University, Wooster, Ohio, USA.
Figs 2, 3 in Native bee fauna of tomato crops: a comparison of active sampling and pan trapping methods
Figs 2, 3. Richness (Fig. 2) and abundance (Fig. 3) of flower visiting bees sampled bY different pan trap colors in nine tomato crops in GoiÁs state, BraZil. Boxplots represent means while vertical lines represent the 95% confidence interval. Each point represents value for each sampling unit.
FIGURE 5 in A simulation-based examination of residual diversity estimates as a method of correcting for sampling bias
FIGURE 5. The performance of different implementations of the residual diversity estimate when a specific bias is forced to be the dominant influence. (5.1) Mean Spearman's rho values of four implementations of the RDE using the Smith and McGowan method. PFORM and PTAPH are set at 0.9 to minimise their influence, PLOC is variable. PMIST set at 0.1. (5.2) Mean Spearman's rho values of four implementations of the RDE using the Smith and McGowan method. LOC and PTAPH are set at 0.9 to minimise their influence, PFORM is variable. PMIST set at 0.1. The dashed red line indicates the critical value at p=0.05. Abbreviations as in Table 1.
FIGURE 7 in A simulation-based examination of residual diversity estimates as a method of correcting for sampling bias
FIGURE 7. Sample simulation comparing the results of the taxic, phylogenetic and residual diversity estimates to the true diversity. PFROM, PLOC and PTAPH set at 0.25. PMIST set at 0.1. Black box highlights instance where the Signor Lipps effect has been exaggerated by the PDE; the TDE and RDE both identify the rapid diversity decrease present in the true diversity. Abbreviations as in Table 1.
FIGURE 6 in A simulation-based examination of residual diversity estimates as a method of correcting for sampling bias
FIGURE 6. The performance of the phylogenetic diversity estimate when errors are introduced to the phylogeny. Mean Spearman's rho values of the PDE, TDE and the best performing implementation of the RDE. PLOC, PFORM and PTAPH set at 0.25. PMIST variable. The dashed red line indicates the critical value at p=0.05. Abbreviations as in Table 1.
FIGURE 4 in A simulation-based examination of residual diversity estimates as a method of correcting for sampling bias
FIGURE 4. The performance of different implementations of the residual diversity estimate examining faunas with varying degrees of homogeneity. PFORM, PLOC and PTAPH are set at 0.25. The rate of dispersal is increased relative to the rate of local extinction to increase the homogeneity of the faunas. The dashed red line indicates the critical value at p=0.05. Abbreviations as in Table 1.
FIGURE 1 in A simulation-based examination of residual diversity estimates as a method of correcting for sampling bias
FIGURE 1. An illustration of the taphonomic filter in the simulation, shown applied to a single taxon in a single time bin. The taxon is originally present in every locality in each region it occupies, but the taphonomic filter removes it from randomly selected localities
FIGURE 3 in A simulation-based examination of residual diversity estimates as a method of correcting for sampling bias
FIGURE 3. The performance of different implementations of the residual diversity estimate (RDE) under different sampling regimes. (3.1) Mean Spearman's rho values of four implementations of the RDE using Formations as a proxy, with values of PFORM, PLOC and PTAPH variable but equal. (3.2) Mean Spearman's rho values of four implementations of the RDE using Localities as a proxy. (3.3) Mean Spearman's rho values of four implementations of the RDE, all using the Smith and McGowan method. (3.4) Mean Spearman's rho values of the taxic and phylogenetic diversity estimate compared to those of the optimum implementation of the RDE. The dashed red line indicates the critical value at p=0.05. Abbreviations as in Table 1.
FIGURE 2 in A simulation-based examination of residual diversity estimates as a method of correcting for sampling bias
FIGURE 2. An illustration of how sampling proxies are generated in this simulation. This schematic illustrates which formations and localities in a single time bin contain fossils of at least one species of the simulated clade after application of the taphonomic filter. Formations and localities are removed at random, representing a lack of sampling. Note that the number of clade-bearing formations and localities does not necessarily equal the number of formations and localities sampled, allowing the generation of four sampling proxies.
Figure 4 in A new method for analyzing microplastic particle size distribution in marine environmental samples
Figure 4. Circularity-versus-Feret's diameter plots of the MP samples collected at four stations in Sevastopol bay (the Black Sea) in 2019. Dot numbers do not correspond to the MPs abundance in the water. Dashed line represents the upper border of fibers.
Figure 5 in A new method for analyzing microplastic particle size distribution in marine environmental samples
Figure 5. Distribution of MPs along Sevastopol bay (the Black Sea) in terms of average particle shape descriptors (left plots), overall abundance and weight of MP fragments, and percentage of fibers among them (right plots).
Figure 3 in A new method for analyzing microplastic particle size distribution in marine environmental samples
Figure 3. Distribution of the four types of MP particles (red – rounded, violet – irregular, blue – elongated, and green – fibers) in a Circularity-versus-Feret's diameter plot (scatter). Dashed line represents the upper border of fibers.
Figure 2. A in A new method for analyzing microplastic particle size distribution in marine environmental samples
Figure 2. A: Microplastic samples dried on the 'storage' filters (100-µm nylon mesh). B: Pure microplastics under an inverted microscope. C-D: Micrograph of a sample in Bogorov's camera and its b/w image processed in an image editor. E: High-contrast scan image of a microplastic sample.
Figure 6 in A new method for analyzing microplastic particle size distribution in marine environmental samples
Figure 6.Weight of a MP sample (M) as a function of the total silhouette area (S) of the MP particles.
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.