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Figure 4 in CHD genes: a reliable marker for bird populations and phylogenetic analysis? Case study of the superfamily Sylvioidea (Aves: Passeriformes)
Figure 4. Maximum clade credibility trees for three data sets obtained by BI analysis in BEAST v1.8.0. MCC genealogy based on a Yule speciation process, summarized from the output of a Markov chain Monte Carlo chain run for 10 million iterations and sampled every 1000 iterations.
Figure 3 in CHD genes: a reliable marker for bird populations and phylogenetic analysis? Case study of the superfamily Sylvioidea (Aves: Passeriformes)
Figure 3. The ML tree for myoglobin gene (in blue) and for CHD-Z gene (in red); both trees are scaled in substitutions and the length of each tree and different topologies indicate that both of them are improper for phylogeny using a single gene.
Figure 1. Sex distribution for A. arundinaceus, A in CHD genes: a reliable marker for bird populations and phylogenetic analysis? Case study of the superfamily Sylvioidea (Aves: Passeriformes)
Figure 1. Sex distribution for A. arundinaceus, A. scirpaceus, and A. schoenobaenus, shown by sampling date.
Figure 4 in Ephemeroptera, Plecoptera, and Trichoptera assemblages of karst springs in relation to some environmental factors: a case study in central Bosnia and Herzegovina
Figure 4. CCA analyses of the EPT taxa assemblages. WT – Water temperature; pH – pH value; D – discharge; LL – leaf litter; MF – macrophytes; Cond – conductivity; SN – sand; DET – detritus.
Figure 2 in Year-round monitoring of bat records in an urban area: Kharkiv (NE Ukraine), 2013, as a case study
Figure 2. Daily average temperature in Kharkiv during 2013. Division of the year by phenological periods (blue – winter, green – spring, yellow – summer, orange – autumn), and periods of the bat life cycle; total number of bat records in a day (red columns). I-XII - months of the year.
Figure 12 in Year-round monitoring of bat records in an urban area: Kharkiv (NE Ukraine), 2013, as a case study
Figure 12. The body mass dynamics by month for all E. serotinus during 2013 in Kharkiv. F – ♀♀, M – ♂♂ (red dot – mean value, line – median value, whiskers – min and max values, open dot – outlier).
Figure 8 in Year-round monitoring of bat records in an urban area: Kharkiv (NE Ukraine), 2013, as a case study
Figure 8. Relationship between the number of recorded bats and the percentage of those that were dead or significantly injured, as shown using k-mean clustering.
Figure 11 in Year-round monitoring of bat records in an urban area: Kharkiv (NE Ukraine), 2013, as a case study
Figure 11. The body mass dynamics by month of first-year individuals of N. noctula during 2013 in Kharkiv. F – ♀♀, M – ♂♂ (black dot – mean value, line – median value, whiskers – min and max values, open dot – outlier).
Figure 4 in Year-round monitoring of bat records in an urban area: Kharkiv (NE Ukraine), 2013, as a case study
Figure 4. Spatial distributions of records of E. serotinus in Kharkiv. (a) The records in periods from 1 August to 2 December; (b) the records in winter, 1 January to 29 March and from 3 December to 31 December.
Figure 3 in Year-round monitoring of bat records in an urban area: Kharkiv (NE Ukraine), 2013, as a case study
Figure 3. Spatial distributions of four bat species records throughout the year in Kharkiv. NNOC: N. noctula; PKUH: P. kuhlii; VMUR: V. murinus; PAUR: P.auritus.
Figure 10 in Year-round monitoring of bat records in an urban area: Kharkiv (NE Ukraine), 2013, as a case study
Figure 10. The body mass dynamics by month of adult individuals of N. noctula during 2013 in Kharkiv. F – ♀♀, M – ♂♂ (black dot – mean value, line – median value, whiskers – min and max values, open dot – outlier).
Figure 9 in Year-round monitoring of bat records in an urban area: Kharkiv (NE Ukraine), 2013, as a case study
Figure 9. Comparative ratios of the causes of death or significant injury during 2013 in Kharkiv: dir. people – directly killed or injured by people; cas. people – indirectly/casually killed or injured by people; attenuation – death after exhaustion; oil – death after fouling by oil products; cat – killed or injured by a cat; window trap – death as a result of becoming trapped in a window; un – uncertain.
Figure 4 in Infestation and effect of parasitic isopod Epipenaeon ingens ingens Nobili, 1906 on commercial shrimp species in the eastern Mediterranean: a case study of the population of brown shrimp Penaeus aztecus Ives, 1891
Figure 4. Data of E. ingens ingens. Expected (pink logistic line) percentage of a female with male, expected (red logistic line) and observed percentage (red circular) of Ov-F, and size structure of female parasite (thick line), female accompanied with male (broken line) and Ov-F (thin line), size at first accompaniment (FAS ) and size at first maturity (FMS ).
Figure 2 in Infestation and effect of parasitic isopod Epipenaeon ingens ingens Nobili, 1906 on commercial shrimp species in the eastern Mediterranean: a case study of the population of brown shrimp Penaeus aztecus Ives, 1891
Figure 2. Percentage of infected and uninfected shrimps by carapace length (CL) and by sex of P. aztecus sampled in Antalya Bay (red circular: an observed percentage of the infection, thick line: correlation line).
Figure 6 in Infestation and effect of parasitic isopod Epipenaeon ingens ingens Nobili, 1906 on commercial shrimp species in the eastern Mediterranean: a case study of the population of brown shrimp Penaeus aztecus Ives, 1891
Figure 6. Box and Whisker plot representation of the negative effect of E. ingens ingens on the gonadal development of the female host shrimp P. aztecus.
Fig. 5 in Patterns Of Polychaete Communities In Tropical Sedimentary Habitats: A Case Study In South-Western Thailand
Fig. 5. Multivariate analysis output using presence/absence transformed polychaete data: (a) MDS plot showing all sites arranged by habitat, (b) MDS plot excluding Exposed Beach habitat. Habitat abbreviations as in Fig. 2.
Fig. 2 in Patterns Of Polychaete Communities In Tropical Sedimentary Habitats: A Case Study In South-Western Thailand
Fig. 2. Mean density (SE) for polychaetes and macrofauna at each sampled habitat. EB = Exposed Beach, NV = Non-vegetated sediment, SG = Seagrass.
Fig. 1 in Patterns Of Polychaete Communities In Tropical Sedimentary Habitats: A Case Study In South-Western Thailand
Fig. 1. Map of study area showing the location of each sampling site. Site abbreviations: AK = Ao Khoei, KKam = Khlong Kamphuan, KKap = Khlong Kapoe, KKY = Ko Kai Yai, KKN = Ko Kam Nui, KRa = Ko Ra, KThao = Ko Thao, LSon = Laem Son, TN = Thale Nok, TND = Thung Nang Dam, TNDb = Thung Nang Dam beach.
Fig. 4 in Patterns Of Polychaete Communities In Tropical Sedimentary Habitats: A Case Study In South-Western Thailand
Fig. 4. Box and whisker plot of seasonal variation at each habitat and for all habitats considered together. Left-hand side boxes represent dry season sampling; right-hand side boxes represent wet season sampling. Habitat abbreviations as in Fig. 2.
Figure 3. A in The emigration of peoples from the area of Western Bosnia and Herzegovina during the Balkans civil conflict and implications for the Avifauna (Case study Pašića polje at Bosansko Grahovo)
Figure 3. A) The settlements located between arable land and pastures. B) Pastures – landscapes in which livestock grazing co-occurs with scattered trees and shrubs
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.