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FIGURE 6. Macrobdella ditetra Moore, 1953 in Range Extension for the Elusive New England Medicinal Leech, Macrobdella sestertia Whitman, 1886 (Hirudinida: Macrobdellidae), in South Carolina, U.S.A., with Notes on Morphology, Coloration, and Biology
FIGURE 6. Macrobdella ditetra Moore, 1953 (CASIZ 224103) feeding on Lithobates sphenocephalus (Cope, 1886); arrows point to the leech.
FIGURE 4 in Range Extension for the Elusive New England Medicinal Leech, Macrobdella sestertia Whitman, 1886 (Hirudinida: Macrobdellidae), in South Carolina, U.S.A., with Notes on Morphology, Coloration, and Biology
FIGURE 4. Unusual overlapping annuli (annuli 48–49) observed on one specimen of Macrobdella sestertia (ChM IO7).
FIGURE 2. Macrobdella sestertia Whitman, 1886 in Range Extension for the Elusive New England Medicinal Leech, Macrobdella sestertia Whitman, 1886 (Hirudinida: Macrobdellidae), in South Carolina, U.S.A., with Notes on Morphology, Coloration, and Biology
FIGURE 2. Macrobdella sestertia Whitman, 1886 from Sleepy Creek, Edgefield Co., South Carolina (CASIZ 224101). Specimens were photographed alive on 1 August 2008.
FIGURE 3 in Range Extension for the Elusive New England Medicinal Leech, Macrobdella sestertia Whitman, 1886 (Hirudinida: Macrobdellidae), in South Carolina, U.S.A., with Notes on Morphology, Coloration, and Biology
FIGURE 3. Distribution of Macrobdella sestertia Whitman, 1886 in Edgefield Co., South Carolina, USA.
FIGURE 8 in Range Extension for the Elusive New England Medicinal Leech, Macrobdella sestertia Whitman, 1886 (Hirudinida: Macrobdellidae), in South Carolina, U.S.A., with Notes on Morphology, Coloration, and Biology
FIGURE 8. Field notes for Macrobdella collections at Northwood Lake (aka Suncook Pond), Rockingham Co., New Hampshire on 3 June 1938 by Reeve M. Bailey and James A. Oliver. Courtesy of Fish Division, University of Michigan Museum of Zoology (UMMZ).
Figure 4 in Effects of Palmer Amaranth (Amoronthus polmeri) Establishment Time and Distance from the Crop Row on Biological and Phenological Characteristics of the Weed: Implications on Soybean Yield
Figure 4. Effects of the interaction of weed establishment time and distance from the crop row on Amoronthus polmeri dry weight before soybean harvest. Vertical bars represent ± standard error of the mean (SE2014 = 1.27; SE2015 = 0.74) from the analysis for comparisons between weed establishment times with sample size n = 72. WAE, weeks after soybean emergence.
Figure 3 in Effects of Palmer Amaranth (Amoronthus polmeri) Establishment Time and Distance from the Crop Row on Biological and Phenological Characteristics of the Weed: Implications on Soybean Yield
Figure 3. Effects of the interaction of weed establishment time and distance from the crop on Amoronthus polmeri plant height at harvest. Vertical bars represent ± standard error of the mean (SE2014 = 4.68; SE2015 = 3.14) from the analysis for comparisons between weed establishment times with sample size n = 72. WAE, weeks after soybean emergence.
Figure 7 in Effects of Palmer Amaranth (Amoronthus polmeri) Establishment Time and Distance from the Crop Row on Biological and Phenological Characteristics of the Weed: Implications on Soybean Yield
Figure 7. Relationship between ground cover and extinction coefficient for each sampling date (n = 12 plots) throughout the 2014 growing season. WAE, weeks after soybean emergence.
Figure 2 in Effects of Palmer Amaranth (Amoronthus polmeri) Establishment Time and Distance from the Crop Row on Biological and Phenological Characteristics of the Weed: Implications on Soybean Yield
Figure 2. Soybean and Amoronthus polmeri (AMAPA) height (averaged across distance from the crop) at 0, 1, 2, 4, 6, and 8 wk after soybean emergence (WAE) (i.e., AMAPA-0, AMAPA-1, AMAPA-2, AMAPA-4, AMAPA-6, and AMAPA-8, respectively). Vertical bars represent ± standard error of the mean from the analysis for comparisons within each sampling date (i.e., n = 12 for 0 WAE, 24 for 1 WAE, etc.).
Figure 9 in Effects of Palmer Amaranth (Amoronthus polmeri) Establishment Time and Distance from the Crop Row on Biological and Phenological Characteristics of the Weed: Implications on Soybean Yield
Figure 9. Effects of weed establishment time on soybean yield averaged across Amoronthus polmeri distances from the crop row. Dashed lines indicate the confidence intervals at 95% confidence level (sample size n = 72). WAE, weeks after soybean emergence.
Figure 10 in Effects of Palmer Amaranth (Amoronthus polmeri) Establishment Time and Distance from the Crop Row on Biological and Phenological Characteristics of the Weed: Implications on Soybean Yield
Figure 10. Effects of Amoronthus polmeri distance from the soybean row on crop yield averaged across A. polmeri establishment times. Vertical bars represent ± standard error of the mean (SE2014 = 337.45; SE2015 = 207.14) from the analysis for comparisons between A. polmeri distances from the crop with sample size n = 72.
Figure 6 in Effects of Palmer Amaranth (Amoronthus polmeri) Establishment Time and Distance from the Crop Row on Biological and Phenological Characteristics of the Weed: Implications on Soybean Yield
Figure 6. Effects of weed establishment time on Amoronthus polmeri (AMAPA) flowering (averaged across distance from the crop) at various sampling occasions for 0, 1, 2, 4, 6, and 8 wk after soybean emergence (WAE) (i.e., AMAPA-0, AMAPA-1, AMAPA-2, AMAPA-4, AMAPA-6, and AMAPA-8 respectively) in 2014 and 2015. Vertical bars represent ± standard error of the mean (i.e., flowering of the entire A. polmeri population was evaluated at each sampling occasion) from the analysis for comparisons within each sampling date (i.e., n = 12 plots for 0 WAE, 24 plots for 1 WAE, 36 plots for 2 WAE, etc.).
Figure 5 in Effects of Palmer Amaranth (Amoronthus polmeri) Establishment Time and Distance from the Crop Row on Biological and Phenological Characteristics of the Weed: Implications on Soybean Yield
Figure 5. Effects of the interaction of weed establishment time and distance from the crop row on Amoronthus polmeri seed production before soybean harvest. Vertical bars represent ± standard error of the mean (SE2014 = 2,530.27; SE2015 = 1,008.30) from the analysis for comparisons between weed establishment times with sample size n = 72. WAE, weeks after soybean emergence.
Figure 8 in Effects of Palmer Amaranth (Amoronthus polmeri) Establishment Time and Distance from the Crop Row on Biological and Phenological Characteristics of the Weed: Implications on Soybean Yield
Figure 8. Relationship between ground cover and extinction coefficient for each sampling date (n = 12 plots) throughout the 2015 growing season. WAE, weeks after soybean emergence
Fig. 4 in Sipha maydis (Hemiptera: Aphididae) in the humid subtropical region of Brazil: distribution, seasonality and biology
Fig. 4. Survival rate (lx) and specific fertility (mx) of Sipha maydis on different host plants in Brazil.
Fig 3 in Sipha maydis (Hemiptera: Aphididae) in the humid subtropical region of Brazil: distribution, seasonality and biology
Fig 3. (A) Effects of average air temperature (°C) on occurrence of winged Sipha maydis in yellow tray traps. (B) Average estimated (red dot) occurrence probability of winged S. maydis per wk (shaded areas indicate the 95% confidence interval).
Fig. 2 in Sipha maydis (Hemiptera: Aphididae) in the humid subtropical region of Brazil: distribution, seasonality and biology
Fig. 2. Method to evaluate life history of Sipha maydis (Passerini, 1860) on different hosts. (A) Detail of the clip cage containing the nymphs attached to the leaf. (B) Overview of plants growing in pots with the cages containing the nymphs attached to the leaves.
Fig. 1 in Sipha maydis (Hemiptera: Aphididae) in the humid subtropical region of Brazil: distribution, seasonality and biology
Fig. 1. Map of Sipha maydis (Passerini, 1860) distribution in Brazil. Shaded area enclosed by blue squares indicates plant sampling area. Black dots indicate the places with occurrence of Sipha maydis. Red star indicates winged aphid monitoring area using yellow tray traps.
Fig. 3 in New record of blunthead pufferfish, Sphoeroides pachygaster (Muller & Troschel, 1848) (Tetraodontiformes: Tetraodontidae) from Indian water along with DNA barcode and some biological aspects
Fig. 3 — Phylogenetic tree topology for Sphoeroides pachygaster (Müller & Troschel, 1848) with sister species based on 16S gene sequences using maximum likelihood method
Fig. 2 in New record of blunthead pufferfish, Sphoeroides pachygaster (Muller & Troschel, 1848) (Tetraodontiformes: Tetraodontidae) from Indian water along with DNA barcode and some biological aspects
Fig. 2 — Histological section of gonad of S. pachygaster from the Indian water (10 µm thickness observed at 10X and 40X magnification). Fe: Follicular epithelium cells, Zr: Zona radiata, Yg: Yolk globules, Ysg: Egg yolk granules, and Af: Atretic follicle
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.