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Text-fig. 6. Lunulites(?), deposited in NM Prague under number T 3320. A – optic (scale bar 1 mm) and B – SEM (BSE detector) photography (scale bar 100 µm) showing characters suggesting determination as Lunulites (square shape and linear arrangement of autozooecia, short cryptocyst and presence of vibracularia). in The Priabonian Bryozoan-Decapod Association From The Borové Formation (The Ďurkovec Quarry, Ne Slovakia) And Its Palaeoecological Implications
Text-fig. 6. Lunulites(?), deposited in NM Prague under number T 3320. A – optic (scale bar 1 mm) and B – SEM (BSE detector) photography (scale bar 100 µm) showing characters suggesting determination as Lunulites (square shape and linear arrangement of autozooecia, short cryptocyst and presence of vibracularia).
Figure 25 in The determination of fruit fly (Diptera: Tephritidae) fauna in Adıyaman, Kilis, and Şanlıurfa provinces with a new record for Turkish fauna*
Figure 25. Wing pattern of Trupanea stellata. Figure 26. Wing pattern of Urophora affinis. Figure 27. Wing pattern of U. aprica. Figure 28. Wing pattern of U. congrua. Figure 29. Wing pattern of U. cuspidata. Figure 30. Wing pattern of U. doganlari. Figure 31. Wing pattern of U. jaceana. Figure 32. Wing pattern of U. mauritanica. Figure 33. Wing pattern of U. notata. Figure 34. Wing pattern of U. phaeocera. Figure 35. Wing pattern of U. phalolepidis. Figure 36. Wing pattern of U. quadrifasciata.
Figure 37 in The determination of fruit fly (Diptera: Tephritidae) fauna in Adıyaman, Kilis, and Şanlıurfa provinces with a new record for Turkish fauna*
Figure 37. Wing pattern of Urophora solstitialis. Figure 38. Wing pattern of U. stylata. Figure 39. Wing pattern of U. tenuior. Figure 40. Wing pattern of U. tenuis.
Figure 13 in The determination of fruit fly (Diptera: Tephritidae) fauna in Adıyaman, Kilis, and Şanlıurfa provinces with a new record for Turkish fauna*
Figure 13. Wing pattern of Tephritis nigricauda. Figure 14. Wing pattern of T. postica. Figure 15. Wing pattern of T. praecox. Figure 16. Wing pattern of T. simplex. Figure 17. Wing pattern of Tephritomyia lauta. Figure 18. Wing pattern of Terellia colon. Figure 19. Wing pattern of T. gynaecochroma. Figure 20. Wing pattern of T. longicauda. Figure 21. Wing pattern of T. nigripalpis. Figure 22. Wing pattern of T. serratulae. Figure 23. Wing pattern of T. virens. Figure 24. Wing pattern of Trupanea amoena.
Figure 1 in The determination of fruit fly (Diptera: Tephritidae) fauna in Adıyaman, Kilis, and Şanlıurfa provinces with a new record for Turkish fauna*
Figure 1. Wing pattern of Acanthiophilus helianthi. Figure 2. Wing pattern of Campiglossa producta. Figure 3. Wing pattern of Capitetes ramulosa. Figure 4. Wing pattern of Chaetorellia jaceae. Figure 5. Wing pattern of C. succinea. Figure 6. Wing pattern of Chaetostomella cylindrica. Figure 7. Wing pattern of Goniurellia longicauda. Figure 8. Wing pattern of Sphenella marginata. Figure 9. Wing pattern of Tephritis acanthiophilopsis. Figure 10. Wing pattern of T. divisa. Figure 11. Wing pattern of T. hurvitzi. Figure 12. Wing pattern of T. merzi.
Fig. 1 in Rodent population cycle as a determinant of gastrointestinal nematode abundance in a low-arctic population of the red fox
Fig. 1. Map showing the sampling sites on Varanger peninsula in northern Norway. Red triangles denote the sites where the 612 red foxes included in the analyses were. sampled. White squares denote sites where rodents were trapped for the purpose of monitoring their population dynamics. Dark areas are sub-arctic birch forest, while areas with different shading of grey show tundra at different altitudes. The meteorological station from which the climate data were derived, is denoted with a blue star. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Rodent population cycle as a determinant of gastrointestinal nematode abundance in a low-arctic population of the red fox
Fig. 2. Time series of annual climate variables, rodent density and egg counts of gastrointestinal parasites (i.e. number of eggs recorded) in red foxes faeces in Varanger Peninsula. A) The mean summer temperature (̊C) for July, August and September from the weather station in Vardø (see Fig. 1). Horizontal broken lines show the 1960–1990 normal for temperature. B) Rodent density indexed as number of individuals caught per 100 trap nights in early September based on the trapping sites shown in Fig. 1 and number of foxes culled each winter season and local hunter (grey). Note that 2005 represents the foxes culled winter 2005–2006. C) Abundance (mean number of eggs per gram with standard error) of the three parasite species in the annual fox samples. Note the left (red) y-axis represents T. leonina while the right (black) y-axis represents T. canis and U. stenocephala. D) Prevalence (proportion of foxes with parasites, with standard error) of the three parasite species in the annual fox samples. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Figure 3 in Determination of genetic variations between Apodemus mystacinus populations distributed in Turkey inferred from mtDNA PCR-RFLP
Figure 3. Restriction patterns of HinfI inferred from D-loop digestion (M: Marker–100bp DNA Ladder, 1. Ordu, 2. Trabzon, 3. Rize, 4. Artvin, 5–6. Erzincan, 7–8. Kahramanmaraş, 9. Adıyaman, 10–11. Adana, 12. Muğla, 13. Burdur, 14. Konya, 15. Antalya, 16. Mersin, 17. Kastamonu, 18. Zonguldak, 19. Düzce, 20. Balıkesir, 21. İzmir, 22. Aydın, 23. A. uralensis, 24. A. witherbyi, 25. D-loop PCR products).
Figure 2 in Determination of genetic variations between Apodemus mystacinus populations distributed in Turkey inferred from mtDNA PCR-RFLP
Figure 2. Restriction patterns of MboI, HaeIII, and RsaI inferred from cytb digestion (M: Marker–100bp DNA Ladder, 1. Ordu, 2. Trabzon, 3. Rize, 4. Artvin, 5. Erzincan, 6. Kahramanmaraş, 7. Adıyaman, 8. Adana, 9. Muğla, 10. Burdur, 11. Konya, 12. Antalya, 13. Mersin, 14. Kastamonu, 15. Zonguldak, 16. Düzce, 17. Balıkesir, 18. İzmir, 19. Aydın, 20. A. uralensis, 21. A. witherbyi, 22. Cytb PCR product).
Figure 5 in Determination of genetic variations between Apodemus mystacinus populations distributed in Turkey inferred from mtDNA PCR-RFLP
Figure 5. PCoA analysis of A. mystacinus clades. The scatter plot is of the scores of three principal eigenvalues inferred from NTSYS software. Each scatter point represents a specimen of A. mystacinus.
Figure 1 in Determination of genetic variations between Apodemus mystacinus populations distributed in Turkey inferred from mtDNA PCR-RFLP
Figure 1. Sampling localities of A. mystacinus specimens. Table 2. Restriction enzymes and their digestion sites with reaction procedures.
Figure 4 in Does the location of coastal brackish waters determine diversity and abundance of zooplankton assemblages?
Figure 4. Seasonal (monthly) changes in the total zooplankton abundance (mean, minimum, and maximum densities) (ind. dm–3) in the Vistula Lagoon and Lake Łebsko in 2010–2011.
Figure 6 in Does the location of coastal brackish waters determine diversity and abundance of zooplankton assemblages?
Figure 6. Seasonal (monthly) changes in the total zooplankton biomass (mean, minimum, and maximum values) (mg. dm–3) in the Vistula Lagoon and Lake Łebsko in 2010–2011.
Figure 3 in The determination some biological parameters of Phenacoccus madeirensis Green (Hemiptera: Pseudococcidae) on vegetable plants
Figure 3. Survival ratio and life table parameters of Phenacoccus madeirensis on Eggplant (Adana Topağı).
Figure 5 in Determination of oxidative, genotoxic, and histopathologic effects of metal pollution on the fish fauna inhabiting Karasu River, Turkey
Figure 5. Pathological damages in A. mossulensis A) separation from the granular layer (black arrow), hyperemia (orange arrows) and infiltration (red arrow) in the cerebellum, B) separation in pia mater (black arrow), congestion and damage in vein (orange arrow), degeneration in periventricular layer (green arrow) and axonopathy (circle) C) dilatation (orange arrow) and vacuolization (yellow arrows) in the cortex H & E.
Figure 4 in Determination of oxidative, genotoxic, and histopathologic effects of metal pollution on the fish fauna inhabiting Karasu River, Turkey
Figure 4. Pathological damages in brain of C. capoeta A) vascular dilatation (orange arrow), degeneration (red arrow) and dilatation (black arrow), B) vacuolization (yellow arrows) and infiltration (blue arrow) in the Purkinje layer, C) vascular dilatation with congestion (orange arrow) H & E.
Figure 1 in Determination of oxidative, genotoxic, and histopathologic effects of metal pollution on the fish fauna inhabiting Karasu River, Turkey
Figure 1. Sampling stations; Station 1: Dumlu, Station 2: Ilıca, Station 3: Aşkale I, Station 4: Aşkale II.
Figure 2 in Determination of oxidative, genotoxic, and histopathologic effects of metal pollution on the fish fauna inhabiting Karasu River, Turkey
Figure 2. The erythrocytic nuclear abnormalities determined in the three fish species A) micronucleus (arrow) in C. capoeta, B) notched nucleus (arrow) in C. capoeta, C) binucleated nucleus (arrow) in A. mossulensis, D) kidney shaped nucleus (black arrows) and bud nucleus (red arrow) in A. mossulensis, E) lobed nucleus (arrow) in S. cephalus, F) Bud nucleus (arrow) in S. cephalus Giemsa.
Figure 6 in Determining some biological parameters of Aenasius arizonensis (Girault) (Hymenoptera: Encyrtidae) on cotton mealybug and the rate of parasitism in field conditions
Figure 6. Parasitism rate of Aenasius arizonensis with Daily mean temperature and mean R.H.in 2018 for Balcalı /Adana.
Figure 4 in Determining some biological parameters of Aenasius arizonensis (Girault) (Hymenoptera: Encyrtidae) on cotton mealybug and the rate of parasitism in field conditions
Figure 4. Age-specific survival rate (l), age-specific fecundity (m), and age-specific maternity (lxm) of X x x Aenasius arizonensis.
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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.