Find research datasets worth reusing

opencc-by-4.0Jul 2019View details →

Fig. 3 in Population and reproductive parameters of the red-tailed catfish, Phractocephalus hemioliopterus (Pimelodidae: Siluriformes), from the Xingu River, Brazil

Fig. 3. Size at first sexual maturity in the red-tailed catfish Phractocephalus hemioliopterus specimens collected from the Xingu River in Pará, Brazil.

opencc-by-4.0Jul 2019View details →

Fig. 5 in Population and reproductive parameters of the red-tailed catfish, Phractocephalus hemioliopterus (Pimelodidae: Siluriformes), from the Xingu River, Brazil

Fig. 5. Relative frequency (%) of the different gonadal maturation stages of the red-tailed catfish Phractocephalus hemioliopterus specimens collected from the Xingu River in Pará, Brazil. a. males; and b. females.

opencc-by-4.0Mar 2005View details →

Fig. 2 in Age Determination And Some Growth Parameters Of A Rana Ridibunda Population In Turkey

Fig. 2. Cross-section taken at the middle of the diaphysis of Rana ridibunda, a male, 58 mm SVL, 4 RL (scale: 108 µm)

Figure 5 in Effects of climatic parameters on Tetranychus urticae (Acari: Tetranychidae) populations based on remote sensing in the southeastern Caspian Sea

Figure 5. The relationship between UV Aerosol Index extracted from Sentinel-5 imagery and spider mite population (mean score of each window) from June 9, 2020 to September 17, 2020 (First window, May 30 to June 9 was not spider mite distribution data).

Figure 6 in Effects of climatic parameters on Tetranychus urticae (Acari: Tetranychidae) populations based on remote sensing in the southeastern Caspian Sea

Figure 6. The relationship between daily CHIRPS-precipitation and spider mite population (mean score of each window) from June 9, 2020 to September 17, 2020 (First window, May 30 to June 9 was not spider mite distribution data).

Figure 9 in Effects of climatic parameters on Tetranychus urticae (Acari: Tetranychidae) populations based on remote sensing in the southeastern Caspian Sea

Figure 9. The relationship between NDVI (10 m) provided form Sentinal-2 and density of spider mite during monitoring windows based on ANOVA for linear regression. The alphabetical letters indicate of the sequence windows from June 9, 2020 to September 17, 2020 (First window, May 30 to June 9 was not spider mite distribution data).

Figure 4 in Effects of climatic parameters on Tetranychus urticae (Acari: Tetranychidae) populations based on remote sensing in the southeastern Caspian Sea

Figure 4. Distribution maps of spider mite based on IDW model during monitoring windows, a–n are the sequence windows form June 9, 2020 to September 17, 2020 (First window, May 30 to June 9 was not spider mite population data).

Figure 8 in Effects of climatic parameters on Tetranychus urticae (Acari: Tetranychidae) populations based on remote sensing in the southeastern Caspian Sea

Figure 8. The relationship between MODIS-Evapotranspiration and spider mite population (mean score of each window) from June 9, 2020 to September 17, 2020. (First window, May 30 to June 9 was not spider mite distribution data).

Figure 3 in Effects of climatic parameters on Tetranychus urticae (Acari: Tetranychidae) populations based on remote sensing in the southeastern Caspian Sea

Figure 3. Spider mite distribution throughout Golestan province; 6 (min.) × 6 (min.) grid cells in the DMS coordinate system (yellow points indicate the monitoring fields).

Figure 7 in Population abundance and growth parameters of an exotic bivalve species, Anadara kagoshimensis, in the Southwestern Black Sea

Figure 7. Seasonal (red line) and non-seasonal (blue line) von Bertalanffy growth curves of A. kagoshimensis

Figure 10 in Population abundance and growth parameters of an exotic bivalve species, Anadara kagoshimensis, in the Southwestern Black Sea

Figure 10. UPGMA phylogenetic tree based on COI gene sequences of two Anadara species and Arca avellana retrieved from Genbank and also three new sequences obtained from this study (OK091154-OK091156). Numbers by the nodes show bootstrap support probabilities.

Figure 9 in Population abundance and growth parameters of an exotic bivalve species, Anadara kagoshimensis, in the Southwestern Black Sea

Figure 9. Nonseasonal VBGP obtain from LFDA (shell length 2 mm size classes frequency distributions; February, May, July, December 2011, February, July, December 2012)

Figure 8 in Population abundance and growth parameters of an exotic bivalve species, Anadara kagoshimensis, in the Southwestern Black Sea

Figure 8. Seasonal VBGP obtained from LFDA (shell length 2 mm size classes frequency distributions; February, May, July, December 2011, February, July, December 2012).

Fig. 5 in Comparison of sampling methodologies and estimation of population parameters for a temporary fish ectoparasite

Fig. 5. Histograms of emergence counts from the time-series emergence traps. Count bars for each day are subdivided by individual trap.

Fig. 4 in Comparison of sampling methodologies and estimation of population parameters for a temporary fish ectoparasite

Fig. 4. Scatterplot showing total body length in mm versus estimated volume of blood and plasma extracted in Ml. The box-and-whisker plots are centered on the mean body length for each of the three juvenile stages. The box edges are placed at the 2nd and 3rd quartiles for volume estimates and the whiskers show extreme minimum and maximum volumes. The mean estimate of extracted volume by juvenile stage is shown as a labeled dashed-red horizontal line. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

Fig. 1 in Comparison of sampling methodologies and estimation of population parameters for a temporary fish ectoparasite

Fig. 1. Traps used in the first study. (A) Small emergence trap, (B) fish-baited emergence trap, (C) fish-baited tripod, (D) open-mesh fish-baited trap and (E) lighted plankton trap. Note that the sample container holding a small French grunt fish for the fish-baited emergence trap (B) and the fish-baited tripod trap (C) are identical units other than the sealed floats attached to the top of the sample container when used with the fish-baited emergence trap.

Fig. 2 in Comparison of sampling methodologies and estimation of population parameters for a temporary fish ectoparasite

Fig. 2. Traps used in the second study. The lighted plankton trap, in the left foreground, stands on short legs—four large emergence traps can be seen in the middleground to the right of the lighted plankton trap. A second lighted plankton trap in the background can be seen towards the center of the frame.

Fig. 3 in Comparison of sampling methodologies and estimation of population parameters for a temporary fish ectoparasite

Fig. 3. Scatterplots of total body length in mm plotted against eye length in mm along the long axis. The upper plot shows measurements for zuphea and the lower plot for praniza. The body length cutoff values separating juvenile stages are shown as a dotted-green line. Gnathiids collected from emergence traps are seen as gold-filled squares and those collected from light traps are presented as purple-filled triangles. Differences in the ontological sampling bias of these two trap designs can be seen by comparing the two scatterplots. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)