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Figs. 7-10 in Development of a training program to identify invasive weevils in the Caribbean basin and the United States
Figs. 7-10. Hands-on student training (7), and weevil identification process (8 and 9), image-based selection of diagnostic characters that leads to species identification in question (10), spreadsheet on a species with embedded brief introduction, distribution, hosts, damage, biological and ecological notes, and bibliography.
Figs. 1-6 in Development of a training program to identify invasive weevils in the Caribbean basin and the United States
Figs. 1-6. Red palm weevil (1), and South American palm weevil (2), South American palm weevil damage (3, 4, 5), and red ring disease symptom (6). Arrows 3 and 4 show early and late infestation of South American palm weevil, arrow 5 shows a full-grown larva and its damage, arrow 6 shows the cross section of coconut palm with red ring disease.
Fig. 3 in Effect of BAM-FX in developing a management program to control major insect pests of tomato: sweetpotato whitefly (Hemiptera: Aleyrodidae), thrips (Thysanoptera: Thripidae), and their transmitted viruses
Fig. 3. Mean number of western flower thrips (Frankliniella occidentalis) per 5 leaf sample of tomato treated with various treatments of BAM‑FX and N‑P‑K granular fertilizer in 2016. Bars represent standard error of the means. T1 = BAM‑FX applied on soil, no pesticide, no N‑P‑K fertilizer; T2 = BAM‑FX applied on foliage, no pesticide, no N‑P‑K fertilizer; T3 = BAM‑FX applied on soil, pesticide, no N‑P‑K fertilizer; T4 = BAM‑FX applied on foliage, pesticide, no N‑P‑K fertilizer; T5 = BAM‑FX applied on foliage, pesticide, N‑P‑K fertilizer; T6 = no BAM‑FX, pesticide, N‑P‑K fertilizer; T7 = no BAM‑FX, no pesticide, N‑P‑K fertilizer; D1 = first sampling date (14 Dec); D2 = second sampling date (21 Dec); D3 = third sampling date (21 Dec); D4 = fourth sampling date (28 Dec); D5 = fifth sampling date (4 Jan); D6 = sixth sampling date (11 Jan).
Fig. 2 in Effect of BAM-FX in developing a management program to control major insect pests of tomato: sweetpotato whitefly (Hemiptera: Aleyrodidae), thrips (Thysanoptera: Thripidae), and their transmitted viruses
Fig. 2. Mean number of common blossom thrips (Frankliniella schultzei) per 5 leaf sample of tomato treated with various treatments of BAM‑FX and N‑P‑K granular fertilizer in 2016. Bars represent standard error of the means. T1 = BAM‑FX applied on soil, no pesticide, no N‑P‑K fertilizer; T2 = BAM‑FX applied on foliage, no pesticide, no N‑P‑K fertilizer; T3 = BAM‑FX applied on soil, pesticide, no N‑P‑K fertilizer; T4 = BAM‑FX applied on foliage, pesticide, no N‑P‑K fertilizer; T5 = BAM‑FX applied on foliage, pesticide, N‑P‑K fertilizer; T6 = no BAM‑FX, pesticide, N‑P‑K fertilizer; T7 = no BAM‑FX, no pesticide, N‑P‑K fertilizer; D1 = first sampling date (14 Dec); D2 = second sampling date (21 Dec); D3 = third sampling date (21 Dec); D4 = fourth sampling date (28 Dec); D5 = fifh sampling date (4 Jan); D6 = 6th sampling date (11 Jan).
Fig. 3 in Trends in ovarian development, plasma vitellogenin, and steroid hormones in female Malaclemys terrapin (Schoepff, 1793) from coastal Louisiana
Fig. 3. Concentrations of vitellogenin (A), testosterone (B), and estradiol (C) throughout sampling periods of female Diamondback Terrapins captured in Louisiana. Dashed lines within each box indicate the mean of the data, bold lines within each box indicate the median of the data, the upper and lower edges of the boxes represent the 75% and 25% quartiles, and bars represent the minimum and maximum values. Solid black circles represent outliers, and different letters indicate significant differences (P<0.05) between sampling periods. The mean and median overlap in some categories, so both lines may not be visible.
Fig. 2 in Trends in ovarian development, plasma vitellogenin, and steroid hormones in female Malaclemys terrapin (Schoepff, 1793) from coastal Louisiana
Fig. 2. Ovarian follicle diameter throughout sampling periods of female Diamondback Terrapins captured in Louisiana. Dashed lines within each box indicate the mean of the data, bold lines within each box indicate the median of the data, and the upper and lower edges of the boxes represent the 75% and 25% quartiles. T bars represent the minimum and maximum values. Solid black circles represent outliers. Note n = 4 for late nesting period, but only two samples were used in the analysis as the others lacked any detectable follicles. The mean and median overlap in some categories, so both lines may not be visible.
Fig. 1 in Trends in ovarian development, plasma vitellogenin, and steroid hormones in female Malaclemys terrapin (Schoepff, 1793) from coastal Louisiana
Fig. 1. Examples of various follicular size classes from different sampling periods of Diamondback Terrapins. (A) Class II and IV follicles from late May. (B) Class I follicles from August samples. (C–D). Class II and III follicles from October samples.
Fig. 2 in Survey of Florida olive groves during olive fruit development: monitoring for stink bugs and olive fruit flies
Fig. 2. Comparison of type of stink bug on total monthly collection (mean ± SE) from 2017 and 2018 of (A) Hemiptera, and (B) Euschistus quadrator Rolston. Lures consisted of either a consperse stink bug lure or a combination of green stink bug and brown marmorated stink bug lures. Statistical comparisons were made with a paired t-test (P ≤ 0.05); means with different letters are significantly different.
Fig. 1 in Survey of Florida olive groves during olive fruit development: monitoring for stink bugs and olive fruit flies
Fig. 1. Diagram of (A) trap locations in Florida olive groves, and (B) spatial identifiers used to characterize the locations for analysis. The large rectangle represents a 4-ha area surveyed; each white box represents a 1-ha subplot. Each circle represents a sampling location where 1 baited olive fruit fly trap and 2 dual funnel stink bug traps, 1 baited for the brown marmorated stink bug and 1 baited for the consperse stink bug were placed during each sampling visit. Spatial identifiers for sampling sites included: COR = corner site, CEN = center site, ER = edge of the grove site and bordered by olive trees on 3 sides of the tree, END = site located at the end of a row, but not a corner. Image from Google Maps.
Fig. 2 in Effects of temperature on survival, development, and reproduction of Aphis glycines (Hemiptera: Aphididae) autumnal morphs
Fig. 2. Age-specific fecundity (fx) of Aphis glycines gynoparae and oviparae on overwintering host, Rhamnus davurica at 13, 18, 23, and 28 °C.
Fig. 1 in Effects of temperature on survival, development, and reproduction of Aphis glycines (Hemiptera: Aphididae) autumnal morphs
Fig. 1. Age-specific survival rates (lx) of Aphis glycines gynoparae, males, and oviparae at 13, 18, 23, 28, and 33 °C.
Fig. 2 in Survival and development of fall armyworm (Lepidoptera: Noctuidae) in weeds during the off-season
Fig. 2. Insect survival (mean ± SE) (a), biomass (mean ± SE) (b), and injury level (mean ± SE) (c) of Spodoptera frugiperda fed with 6 weeds and maize in the greenhouse for 21 d. Means capped with the same letter do not differ significantly.
Fig. 1 in Survival and development of fall armyworm (Lepidoptera: Noctuidae) in weeds during the off-season
Fig. 1. Mean (± EP) of larval survival and pre-imaginal survival (%) (a), larval development time and pre-imaginal development time (b), and biomass of larvae and pupae of surviving individuals of Spodopterafrugiperda fed with 6 weeds and maize in laboratory conditions (c). Uppercase letters are used to compare larval stage, while lowercase letters are used to compare pupal stage. Means capped with the same letter do not differ significantly. Means followed by an asterisk (*) were zero (0), and were not used in the analysis.
Figure 1 in The post-embryonic development of Amphiprion perideraion reveals a decoupling between morphological and pigmentation changes
Figure 1. – Amphiprion perideraion development from hatching to 20 dph. Graph showing the quantitative measurement of individual larvae from hatching to 20 dph, therefore providing an indication on individual variation. A: Morphological characters measured. HD, head depth; HL, head length; SL, standard length; BD, body depth (Allen, 1974; Önsoy et al., 2011). B: Graph showing the significant relation- ship among TL to larvae age. C: Allometric growth equation between TL and SL (orange), BD (red), HD (turquoise), and HL (blue) in larvae. Note that the allometric growth is negative for HL and positive for BD and HD. D: Stereomicroscope images of larvae from 1 dph to 15 dph. E-I: Higher magnification of caudal (E), dorsal (F), anal (G) and pelvic (H) fins formation and pigmentation ontogenesis (I). Scale bars = 1 mm.
Figs 19-24 in Ovarian development and spawning of Macrobrachium amazonicum (Crustacea, Decapoda)
Figs 19-24. Distribution of reproductive cell diameters of Macrobachium amazonicum (Heller, 1862) females captured in the Cachoeira II reservoir, between November 2014 and August 2017, in different stages of gonadal maturation: 19, Immature; 20, In maturation; 21, Mature; 22, Spawned in maturation; 23, Spawned; 24, Resting. The peaks of elevations in the curves indicate modal groups (N, number of oocytes measured).
Figs 11, 12 in Ovarian development and spawning of Macrobrachium amazonicum (Crustacea, Decapoda)
Figs 11, 12. Graphical representation of reproductive cells of Macrobrachium amazonicum (Heller, 1862) females captured in the Cachoeira II reservoir between November 2014 and August 2017: 11, cells diameter; 12, nuclei diameter, showing maximum observation (upper bar), minimum observation (lower bar), third quartile (top of the boX), first quartile (bottom of boX) and average (inner bar) (OO, oogonia; PVO, previtellogenic oocyte; VO, vitellogenic oocyte; MO, mature oocyte). HoriZontally, different letters indicate statistical difference (p<0.01), verified by the Tukey test.
Figs 13-18 in Ovarian development and spawning of Macrobrachium amazonicum (Crustacea, Decapoda)
Figs 13-18. Ovary sections of Macrobrachium amazonicum (Heller, 1862) at different maturation stages, captured in the Cachoeira II reservoir between November 2014 and August 2017: 13, Immature: oogonia (OO), previtellogenic oocyte (PVO) and follicular cells (between {}); 14, In maturation: previtellogenic oocyte (PVO), initial vitellogenic oocyte (VO I), advanced vitellogenic oocyte (VO II), and cytoplasmic vesicle formation (CV). Clear nucleus and nucleolus (between {}), and spherical follicular cell nodes (star), also around the oocytes; 15, Mature: follicular cells forming a lining around the oocytes, where they are barely perceptible due to their level of proXimity and flattening (FC), and small nucleus (NU). The crystalliZed appearance is due to the accumulation of yolk granules, and the several small uncolored spots characteriZe the cytoplasmic vesicles; 16, Spawned in maturation: oogonia displaying their nuclei and nucleoli (OO), previtellogenic oocyte (PVO), initial vitellogenic oocyte (between []), advanced vitellogenic oocyte (between {}) and postovulatory follicles (POF); 17, Spawned: oogonia (OO), atretic oocyte (AO) and postovulatory follicle (POF); 18, Resting: oogonia (OO) and follicular cell nodes (star). Color: Gomori trichrome (13, 14, 16, 18); HematoXylin-Eosin (15, 17).
Figs 1-4 in Ovarian development and spawning of Macrobrachium amazonicum (Crustacea, Decapoda)
Figs 1-4. Stages of ovarian development of Macrobrachium amazonicum (Heller, 1862) captured in the Cachoeira II reservoir between November 2014 and August 2017. The organ is demarcated by an ellipse: 1, In advanced development; 2, Developed; 3, Spawned similar to an undeveloped organ; 4, Spawned similar to an early developing organ.
Figs 5-10 in Ovarian development and spawning of Macrobrachium amazonicum (Crustacea, Decapoda)
Figs 5-10. Photomicrographs of germ cells of the ovary of Macrobrachium amazonicum (Heller, 1862) at different stages of development, captured in the Cachoeira II reservoir between November 2014 and August 2017: 5, Oogonia: nucleus (NU) and nucleolus (NE). The granulations within the nucleus characteriZe the chromatin; 6, Previtellogenic oocyte: cytoplasm (CY) and two nucleoli (NE) within the nucleus; 7, Initial vitellogenic oocyte: formation of cytoplasmic vesicle (CV) and spherical follicular cells (FC) around the cell; 8, Advanced vitellogenic oocyte: cytoplasmic vesicles (CV) and yolk granules (YG); 9, Mature oocyte: follicular cells (FC) forming a cord-like coating around the oocyte, with center nucleus (NU); 10, Atretic oocyte: showing cellular disorganiZation. Color: HematoXylin-Eosin (5, 6, 9, 10); Gomori trichrome (7, 8).
Fig. 1. A in A new isoetalean microsporophyll from the latest Albian of northeastern Spain: Diversity in the development and dispersal strategies of microspores
Fig. 1. A. Geographic location of the studied fossiliferous site of the Estercuel locality, northeast Spain. B. Stratigraphic sequence (modified from Pardo 1979) (B 1) and detailed log (B2) with the stratigraphical level containing studied isoetalean material marked by a black arrow (level ET 2-1).
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.