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Fig. 1. Pelomedusa galeata from the Ratelfontein farm near Calvinia observed directly after rainfall, 16 February 2019 in Mind the gap-Is the distribution range of Pelomedusa galeata really disjunct in western South Africa?
Fig. 1. Pelomedusa galeata from the Ratelfontein farm near Calvinia observed directly after rainfall, 16 February 2019. For the location of the farm, see Fig. 2 (locality 1). Photos: C.A. van Niekerk.
Fig. 8 in A herpetological survey of western Zambia
Fig. 8. Drawings of Rhamnophis aethiopissa ituriensis (BMNH 2018.2772). Head and anterior of body in dorsal, left lateral, and ventral views. Scale bar 10 mm. Drawings by Ed Wade.
Fig. 4 in A herpetological survey of western Zambia
Fig. 4. Details of head profile and webbing of Hyperolius nasicus (BMNH 2018.5666). (A) Profile of head, (B) webbing of right foot, and (C) schematic representation of webbing. Scale bar represents 1 mm.
Fig. 1 in A herpetological survey of western Zambia
Fig. 1. Map of Zambia showing sites surveyed for herpetofauna. The star indicates the capital (Lusaka).
Fig. 3 in A herpetological survey of western Zambia
Fig. 3. Amphibians of western Zambia. (A) Arthroleptis stenodactylus (BMNH 2018.5827), (B) Arthroleptis xenochirus (BMNH 2018.5811), (C) Schismaderma carens (BMNH 2018.5728), (D) Sclerophrys gutturalis (BMNH 2018.5701), (E) Sclerophrys lemairii, (F) Sclerophrys pusilla (BMNH 2018.5708), (G) Hemisus cf. guineensis (BMNH 2018.5800), (H) Hemisus cf. guineensis (BMNH 2018.5799), (I) Hemisus marmoratus (BMNH 2018.5713), (J) Hemisus marmoratus (BMNH 2018.5714), (K) Hyperolius dartevellei (BMNH 2018.5681), (L) Hyperolius major (BMNH 2018.5675), (M) Hyperolius marginatus (BMNH 2018.5667), (N) Hyperolius nasicus (BMNH 2018.5666), (O) Hyperolius parallelus (BMNH 2018.5689), (P) Hyperolius parallelus (BMNH 2018.5697), (Q) Hyperolius quinquevittatus, (R) Kassina senegalensis.
Fig. 6 in A herpetological survey of western Zambia
Fig. 6. Amphibians of western Zambia. (A) Phrynobatrachus cf. parvulus (BMNH 2018.5889), (B) Phrynobatrachus natalensis (BMNH 2018.5838), (C) Phrynobatrachus natalensis (BMNH 2018.5842), (D) Phrynobatrachus sp. 1 (BMNH 2018.5867), (E) Phrynobatrachus sp. 1 (BMNH 2018.5861), (F) Phrynobatrachus sp. 1 (BMNH 2018.5869), (G) Xenopus poweri (BMNH 2018.5659), (H) Xenopus pygmaeus, (I) Ptychadena anchietae (BMNH 2018.5730), (J) Ptychadena cf. mossambica (BMNH 2018.5759), (K) Ptychadena porosissima (BMNH 2018.5766), (L) Ptychadena porosissima (BMNH 2018.5769), (M) Ptychadena porosissima (BMNH 2018.5770), (N) Ptychadena taenioscelis (BMNH 2018.5785), (O) Amietia chapini (BMNH 2018.5664), (P) Pyxicephalus cf. adspersus (BMNH 2018.5791), (Q) Tomopterna sp. (BMNH 2018.5797), (R) Chiromantis xerampelina (BMNH 2018.5798).
Fig. 7 in A herpetological survey of western Zambia
Fig. 7. Reptiles of western Zambia. (A) Agama armata (BMNH 2018.2751), (B) Chamaeleo dilepis (BMNH 2018.2755), (C)–(D) Lygodactylus chobiensis (BMNH 2018.2743), (E) Pachydactylus punctatus, (F) Ichnotropis capensis (BMNH 2018.2750), (G) Meroles squamulosus (BMNH 2018.2753), (H) Trachylepis cf. albopunctata (BMNH 2018.2765), (I) Trachylepis varia (BMNH 2018.2769), (J) Typhlacontias rohani (BMNH 2018.2761), (K) Crotaphopeltis hotamboeia (BMNH 2018.2776), (L) Philothamnus hoplogaster (BMNH 2018.2775), (M) Rhamnophis aethiopissa ituriensis (BMNH 2018.2772), (N) Thelotornis kirtlandii (BMNH 2018.2760), (O) Atractaspis congica (BMNH 2018.2274), (P)–(R) Kinixys spekii.
Fig. 5. Maximum likelihood phylogenetic tree inferred from nucleotide sequence data from mitochondrial 16S in A herpetological survey of western Zambia
Fig. 5. Maximum likelihood phylogenetic tree inferred from nucleotide sequence data from mitochondrial 16S rRNA of Phrynobatrachus natalensis. Numbers above branches are non-parametric bootstrap support values. Specimen vouchers or GenBank accession numbers are shown in parentheses. Colored polygons highlight the clades comprising specimens from this study. (*) Nearest sample from type locality of Phrynobatrachus natalensis; (**) Haplotype groups A and B in Zimkus and Schick (2010).
Fig. 2 in Mind the gap-Is the distribution range of Pelomedusa galeata really disjunct in western South Africa?
Fig. 2. Distribution range of Helmeted Terrapins (shaded in grey), with our records of Pelomedusa galeata in South Africa (white circles). New records of P. galeata in or close to the putative distribution gap: 1 – Nineteen turtles at Ratelfontein farm, near Calvinia (16 February 2019), 2 – Observations of locals at Williston, 3 – Near Carnarvon (shell, collected 25 October 2018), 4 – One terrapin near Beaufort West (4 March 2017), 5 – Two terrapins near Griekwastad (28 October 2018). Inset: Pelomedusa galeata from the Ratelfontein farm. Photo: C.A. van Niekerk.
Fig. 2 in A herpetological survey of western Zambia
Fig. 2. Habitats surveyed in western Zambia. (A) Dambo and Cryptosepalum dry forest in Lukwakwa, (B) Dambo in Nanzila Plains, (C) Miombo woodland in Nanzila Plains, (D) Margin of the Zambezi River at Ngonye Falls.
Fig. 1 in New records of mealybugs (Hemiptera: Pseudococcidae) infesting rosettes of Conilon coffee plants in the state of Rondônia, South-Western Amazon, Brazil
Fig. 1. Ferrisia dasylirii and Planococcus minor in rosettes of Conilon coffee trees in the state of Rondônia, South-Western Amazon, Brazil. (A-B) Colonies of F. dasylirii on peduncles of coffee fruits. (C) Fruits covered by sooty mold on top of F. dasylirii honeydew. (D) Branch with damage (scattered grain) of F. dasylirii. (E) Dorsal view of an F. dasylirii adult female. (F) Imatures and adult females of P. minor. Photos (A-C) and (E-F) Rondelli VM; (D) Dias JRM.
Fig. 5 in Feminization tendency of Hawksbill Turtles (Eretmochelys imbricata) in the western Yucatán Peninsula, Mexico
Fig. 5. Relationship between temperature and sex ratio. The red dotted line denotes the pivotal temperature according to the TSD software and calibrated with histology of gonads from dead Hawksbill hatchlings.
Fig. 3 in Feminization tendency of Hawksbill Turtles (Eretmochelys imbricata) in the western Yucatán Peninsula, Mexico
Fig. 3. Hatching success of Eretmochelys imbricata on the beaches of Chenkan, Punta Xen, and Celestún, Yucatán Peninsula (Mexico).
Fig. 2 in Feminization tendency of Hawksbill Turtles (Eretmochelys imbricata) in the western Yucatán Peninsula, Mexico
Fig. 2. (a) Incubation temperatures of Eretmochelys imbricata, during the TSP, on the beaches of Chenkan, Punta Xen, and Celestún, during two incubation periods (June–July and August–September). The dotted line indicates the pivotal temperature. (b) Percentages of females in the monitored nests on the nesting beaches of the western Yucatán Peninsula (Mexico). The red asterisks show where the differences were significant (p <0.05) among nests, by beach.
Fig. 1 in Feminization tendency of Hawksbill Turtles (Eretmochelys imbricata) in the western Yucatán Peninsula, Mexico
Fig. 1. Geographical locations of the monitored nests of Eretmochelys imbricata, as well as the beaches studied and their images. 1) Celestún, 2) Punta Xen, and 3) Chenkan.
Fig. 4 in Feminization tendency of Hawksbill Turtles (Eretmochelys imbricata) in the western Yucatán Peninsula, Mexico
Fig. 4. Representative histology sections of gonads from dead Hawksbill hatchlings in the monitored nests. (a) Testis (100 µm), (b) Ovary (100 µm), (c) Testis (20 µm), (d) Müllerian ducts of male (20 µm), (e) Ovary (20 µm), (f) Müllerian ducts of female (20 µm). The dotted areas in (a) and (b) indicate the sites of the higher magnifications shown in (c) and (e), where the dotted line indicates the cortex, M indicates the medulla region, and C indicates the cortex region.
Figure 1. – A in Potentially unsustainable fisheries of a critically-endangered pelagic shark species: the case of the blue shark (Prionace glauca) in the Western Mediterranean Sea
Figure 1. – A: Artisanal pelagic longliner from Torredembarra (Catalonia), Sep. 2012. B: Industrial pelagic longliner from Carboneras (Andalusia), Nov. 2014.
Fig. 1 in Occurrence and infestation rates of Streblidae (Diptera, Hippoboscoidea) on bats (Mammalia, Chiroptera) in a semideciduous seasonal forest fragment in western Paraná, Brazil
Fig. 1. MonthlY average precipitation and temperature in Palotina, PR, Brazil, from 1997 to 2016. Source: SIMEPAR, 2018.
Fig. 3 in The eoorthid brachiopod Apheoorthina in the Lower Ordovician of NW Argentina and the dispersal pathways along western Gondwana
Fig. 3. Eoorthid brachiopod Apheoorthina aff. ferrigena (Havlíček, 1949), CEGH-UNC 26918, upper Tremadocian, road from Santa Victoria to Acoyte, Salta Province, NW Argentina. Dorsal valve (illustrated on Fig. L) showing detail of embrionary (ep) and larval protegulum (lp). Highresolution confocal laser scanning microscopy positive image (A) and negative image (B). Scale bar 400 μm.
Fig. 1 in The eoorthid brachiopod Apheoorthina in the Lower Ordovician of NW Argentina and the dispersal pathways along western Gondwana
Fig. 1. Location of the studied area (star) within South America (B), geological map of the studied area (A), and stratigraphic column of the study area (C), showing fossiliferous levels.
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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.