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Figure 1 in Egg Morphology of Five Species of Sea Urchins from Saipan, CNMI
Figure 1. The scanning electron microscope images showing general morphology of eggs along with a close-up image of egg outer membrane surface for each species. (a): Echinometra mathaei (scale bar=30.0 µm), (b): close up view of Echinometra mathaei (scale bar=4.0 µm), (c): Parasalenia poehlii (scale bar=40.0 µm), (d): close up view of Parasalenia poehlii (scale bar=5.0 µm), (e): Eucidaris metularia (scale bar=20.0 µm), (f): close up view of Eucidaris metularia (scale bar=5.0 µm), (g): Colobocentrotus mertensii (scale bar=30.0 µm), (h): close up view of Colobocentrotus mertensii (scale bar=5.0 µm), (i): Mespilia globulus (scale bar=50.0 µm), (j): close up view of Mespilia globulus (scale bar=5.0 µm).
Figure 2 in Confounding factors affecting faecal egg count reduction as a measure of anthelmintic efficacy
Figure 2. An illustrative example of the potential effect of seasonal shifts in nematode species composition on observed faecal egg count (FEC) reduction, based on typical epidemiological patterns in sheep in temperate areas. FEC composition indicates the proportion of eggs belonging to each species, where eggs of Trichostrongylus spp., Teladorsagia circumcincta and Haemonchus contortus are not easily distinguished from each other. Months are calendar months in the northern hemisphere, with Nematodirus battus and then Teladorsagia dominating in spring and early summer, Trichostrongylus in late summer and autumn, and Haemonchus transiently dominant following favourable climatic conditions [91]. In scenario 1, only Haemonchus is resistant to treatment, with FECR of 80%; in scenario 2, only Teladorsagia is resistant (80% FECR); FEC of other species reduce by 98% following treatment. A FECRT would have different results in different months, detecting resistance (<95% FECR) only in months (% FECR in bold) in which the resistant species contributes sufficiently to total faecal egg output, and returning false-negative results for AR in other months. The simulation does not account for differences in fecundity between species, which further amplify seasonal variation in FECR. Here, FECRT conducted at different times of year produce differing results even if anthelmintic efficacy is stable within species over that period.
Figure 1 in Confounding factors affecting faecal egg count reduction as a measure of anthelmintic efficacy
Figure 1. Schematic showing the range of confounders potentially influencing faecal egg count reduction (FECR) following anthelmintic treatment, and hence classification of anthelmintic resistance (AR). These are divided into host, parasite and technical factors, which together affect actual reduction in faecal egg count (1). Technical considerations also influence the accuracy with which FECR is observed (2), and hence the detection of anthelmintic resistance (3). Technical refinements to the FECRT have very much focused on improving the accuracy with which actual FECR is measured and translated into AR classification (step 3), even though many factors other than AR can strongly influence actual FECR. These risk confounding the FECRT and should be borne in mind when designing, conducting and interpreting the test, whether in standardised form for detection of AR, or in modified forms to monitor anthelmintic effectiveness.
Fig. 3 in Repeatability Analysis Of Egg Shape In A Wild Tree Sparrow (Passer Montanus) Population: A Sensitive Method For Egg Shape Description
Fig. 3. The effect of egg-photographing on the description of outline. Panel a shows ten outlines described following the photos of ten randomly chosen eggs, panel b shows ten outlines described fol-
Fig. 3 in Egg Distribution Of The Southern Festoon (Zerynthia Polyxena) (Lepidoptera, Papilionidae)
Fig. 3. Egg position on the plant's leaf-storeys (the number of leaves below the leaf bearing the egg(s) divided by the total number of leaves) is plotted against log number of eggs. Smaller value of egg position indicates that the eggs are on lower leaves. The solid line represents the fix effect of egg posi-
Fig. 2 in Egg Distribution Of The Southern Festoon (Zerynthia Polyxena) (Lepidoptera, Papilionidae)
Fig. 2. Mean (±SE) number of eggs of Z. polyxena per food-plant leaf in the three habitat types. The different letters indicate significant differences at P <0.05
Fig. 1 in Egg Distribution Of The Southern Festoon (Zerynthia Polyxena) (Lepidoptera, Papilionidae)
Fig. 1. Mean (±SE) number of food-plant shoots per m2 in the three habitat types. The different letters indicate significant differences at P <0.05
Figure 4 in Mosquito mass rearing: who's eating the eggs?
Figure 4. Before (A) and after (B) a psocid meal. Small pieces of the egg chorion seen in the insect's abdomen. Photo by H. Yamada.
Figure 3 in Mosquito mass rearing: who's eating the eggs?
Figure 3. Treatment papers with heavy infestation (31 individual psocids and 14 intact eggs within the field of view). Photo by M. Zheng.
Figure 2. Psocid Liposcelis bostrychophila Badonnel, 1931 in Mosquito mass rearing: who's eating the eggs?
Figure 2. Psocid Liposcelis bostrychophila Badonnel, 1931 (Psocoptera, Liposcelididae) as seen on an egg paper. Photo by M. Zheng.
Fig. 6 in The First Experience In New Technologies Of Breeding And Semi-Natural Eggs Incubation Of Northern Emys Orbicularis In Glass-House Aquaculture In Latvia
Fig. 6. Temperature condition and different forms of behaviour, observed in the experiment for the first time.
Fig. 1 in The First Experience In New Technologies Of Breeding And Semi-Natural Eggs Incubation Of Northern Emys Orbicularis In Glass-House Aquaculture In Latvia
Fig. 1. Scheme of the construction of the experimental glass-house: 1 – building of the Centre; 2 – filter and air compressor part; 3, 4, 5 – unused in the experiment parts of the basin; 6, 7 – experimental parts of the basin; 8, 9 – places for eggs-laying; two small red-yellow circles – A and B points of measurement of temperature on concrete shore and in water.
Fig. 4 in The First Experience In New Technologies Of Breeding And Semi-Natural Eggs Incubation Of Northern Emys Orbicularis In Glass-House Aquaculture In Latvia
Fig. 4. Plot of fitted model for temperature of sun-basking place (Tsunbask) and temperature of water in the basin (Twater) of the glass-house herpetoculture of E.orbicularis.
Figure 1 in The nest, eggs and nestling development of Fork-tailed Woodnymph Thalurania furcata boliviana
Figure 1. Nest, eggs and nestlings of Fork-tailed Woodnymph Thalurania furcata boliviana in south-west Brazilian Amazonia: (A) female incubating the eggs; (B) view of the nest showing the eggs; (C) nestlings with feathers growing on all body tracts; (D) feathered nestlings; (E) one of the nestlings the day prior to fledging (A, B and D: Edson Guilherme; C and E: Jônatas Lima)
Figure 3 in The nest, eggs and nestling development of Fork-tailed Woodnymph Thalurania furcata boliviana
Figure 3. Mass gain of Fork-tailed Woodnymph Thalurania furcata boliviana nestlings in Acre, Brazil, over the development period (measurements taken every two days between 14 January and 1 February 2016).
Figure A2 in A student-based expansion of the strategies of reproduction in fish (STOREFISH) database to 288 North American freshwater and anadromous species for 14 egg and larval traits
Figure A2. – Summary of the 162 answers for survey questions 5-9 (see Tab. A1 for details). Letter refer to the difficulties associated with (A) finding information (B) reading articles in English, (C) accessing documents, and (D) other reasons.
Figure 2 in A student-based expansion of the strategies of reproduction in fish (STOREFISH) database to 288 North American freshwater and anadromous species for 14 egg and larval traits
Figure 2. – The number of species (A) and records (B) in the original (black bars) and new (white bars) data sets for egg (left of the vertical bar) and larval (right of the bar) traits. Numbers in the x-axis correspond to trait numbers in Table I. The maximum possible number of species in (A) was 80 and 288 for the original and new data, respectively. See Table I for trait units and description.
Figure A3 in A student-based expansion of the strategies of reproduction in fish (STOREFISH) database to 288 North American freshwater and anadromous species for 14 egg and larval traits
Figure A3. – Boxplot summaries of the number of references (Q11) and traits (Q12) that the students found. See Table A1 for details.
Figure 3 in Egg production and life history of Alona guttata Sars, 1862 (Cladocera, Chydoridae): implications for colonization of temporary ponds
Figure 3. Growth curve of Alona guttata in experimental conditions of controlled light conditions. (Fed with R. subcapitata, controlled temperature of 22 ± 2 °C and photoperiod of 16 h light/8 h dark.)
Figure 2. Alona guttata Sars, 1862 in Egg production and life history of Alona guttata Sars, 1862 (Cladocera, Chydoridae): implications for colonization of temporary ponds
Figure 2. Alona guttata Sars, 1862: (A) parthenogenetic female; (B) head pore; (C) post-abdomen details.
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.