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FIG. 3 in A study of the morphology and distribution of four Achnanthidium Kütz. species (Bacillariophyta), implications for ecological status assessment, and description of two new European species
FIG. 3. — Achnanthidium caledonicum (Lange-Bert.) Lange-Bert.: A-B, specimens from Brunnsee, Germany; C-F, specimens from Scotland, 2012, 44sto; A, SEM external view of whole raphe valve and rapheless valve; B, SEM external view of whole raphe valve, mantle and girdle bands at pole; C, SEM external view of valve centre of raphe valve; D, SEM external view of valve centre of rapheless valve; E, SEM external view of pole of raphe valve; F, SEM external view of pole of rapheless valve. Scale bars: A, 10 µm; B, 5 µm; C-F, 3 µm.
Figs 3, 4 in The megadrile fauna (Annelida: Oligochaeta) of Queen Elizabeth Park, South Africa: species composition and distribution within different vegetation types
Figs 3, 4. Tritogenia howickiana: (3) anterior part of the body, showing papillae and tubercula pubertatis ventrally; (4) dorsal dissection showing thickened septa. Abbreviations: Cl – clitellum, DB – double blood vessel, P – papillae of 15–17, S – septa 4/5–6/7, Tp – tubercula pubertatis,.
Plant Community Formation and Species Distribution Patterns in relation to environmental variables in Endiras Natural Forest, Fogera District, South Gondar Zone, Ethiopia
<p>We need to deposit the data for the manuscript entitled plant community formation and species distribution patterns in relation to environmental variables in Endiras forest, Fogera District, South Gondar Zone, Ethiopia so as to be cited easily </p>
Data and code for: Building use-inspired species distribution models: using multiple data types to examine and improve model performance
<p>Species distribution models (SDMs) are becoming an important tool for marine conservation and management. Yet while there is an increasing diversity and volume of marine biodiversity data for training SDMs, little practical guidance is available on how to leverage distinct data types to build robust models. We explored the effect of different data types on the fit, performance and predictive ability of SDMs by comparing models trained with four data types for a heavily exploited pelagic fish, the blue shark (<em>Prionace</em> <em>glauca</em>), in the Northwest Atlantic: two fishery-dependent (conventional mark-recapture tags, fisheries observer records) and two fishery-independent (satellite-linked electronic tags, pop-up archival tags). We found that all four data types can result in robust models, but differences among spatial predictions highlighted the need to consider ecological realism in model selection and interpretation regardless of data type. Differences among models were primarily attributed to biases in how each data type, and the associated representation of absences, sampled the environment and summarized the resulting species distributions. Outputs from model ensembles and a model trained on all pooled data both proved effective for combining inferences across data types and provided more ecologically realistic predictions than individual models. Our results provide valuable guidance for practitioners developing SDMs. With increasing access to diverse data sources, future work should further develop truly integrative modeling approaches that can explicitly leverage strengths of individual data types while statistically accounting for limitations, such as sampling biases. </p>
Effects of climate change on the distribution of plant species and plant functional strategies on the Canary Islands
<p>Occurrence data:</p> <p>We used occurrence data from the Banco de Datos de Biodiversidad de Canarias, an open-access database, for single-island endemic (SIE; n = 325), archipelago endemic (AE; n = 234) and definitely non-endemic native (NEN; n = 149) extant seed plant species (excluding subspecies), in a raster of 500 m x 500 m grid cells covering the Canary Islands (<a href="https://www.biodiversidadcanarias.es/biota/">https://www.biodiversidadcanarias.es/biota/</a>) [<em>accessed 14/03/2022</em>]. The database includes all species listed in the checklist of the Banco de Datos de Biodiversidad de Canarias, across 31,628 grid cell assemblages. Species range in occurrence from 1 to 4,466 cells. We only retrieved occurrences for which a species has been certainly observed or collected (precision level 1 of four levels). The Banco de Datos de Biodiversidad de Canarias provides presence-only information that is spatially biased by sampling effort (Hortal et al., 2007). However, the sampling bias of SIEs, AEs, and NENs is less than for species overall because studies incorporated into the database involved focus on, and extensive sampling of, endemic and non-endemic native species (<a href="https://www.biodiversidadcanarias.es/biota/documentos">https://www.biodiversidadcanarias.es/biota/documentos</a>). We considered a species (pseudo-)absent if it was not recorded at a site, although we recognise that there is debate as to whether this truly represents absences.</p>
Fig. 5 in A new species of Metafruticicola (Gastropoda, Hygromiidae) from the Aegean Archipelago and new anatomical and distributional data on some congeneric species
Fig. 5. Metafruticicola (Cretigena) crassicosta Bank, Gittenberger & Neubert, 2013, Greece, Crete, Chania province, Agioi Theodoroi Islet (NHMC 50.43845). A. Shell. B. General view of genitalia. C. Internal structure of penis, penial papilla and the base of the duct of the gametolytic gland. Abbreviations: see Material and methods.
Fig. 4 in A new species of Metafruticicola (Gastropoda, Hygromiidae) from the Aegean Archipelago and new anatomical and distributional data on some congeneric species
Fig. 4. Metafruticicola (Rothifruticicola) pieperi Bank, Gittenberger & Neubert, 2013, Greece, Crete, Lasithi province, Avgo Islet (NHMC 50.40149). A. Shell. B. General view of genitalia. C. Internal structure of penis and rear view of penial papilla. D. Front view of penial papilla. E. Base of the duct of the gametolytic gland. Abbreviations: see Material and methods.
Fig. 3 in A new species of Metafruticicola (Gastropoda, Hygromiidae) from the Aegean Archipelago and new anatomical and distributional data on some congeneric species
Fig. 3. Distribution of Metafruticicola (Rothifruticicola) kavafis sp. nov. (▲) and M. (R.) nicosiana conciliatrix Fuchs & Käufel, 1936 (●). New records of M. n. conciliatrix from Saria Island (●).
Fig. 2 in A new species of Metafruticicola (Gastropoda, Hygromiidae) from the Aegean Archipelago and new anatomical and distributional data on some congeneric species
Fig. 2. Metafruticicola (Rothifruticicola) nicosiana. A, C, E. M. (Rothifruticicola) nicosiana nicosiana (Mousson, 1854), Cyprus, Limassol district, Sanctuary of Apollo Hylates (NHMC 50.21350). A. Shell. C. General view of genitalia. E. Internal structure of penis, penial papilla and the base of the duct of the gametolytic gland. B, D, F. M. (Rothifruticicola) nicosiana conciliatrix Fuchs & Käufel, 1936, Greece, Karpathos Island, Asia (NHMC 50.39991). B. Shell. D. General view of genitalia. F. Internal structure of penis, penial papilla and the base of the duct of the gametolytic gland. Abbreviations: see Material and methods.
Fig. 7 in A new species of Metafruticicola (Gastropoda, Hygromiidae) from the Aegean Archipelago and new anatomical and distributional data on some congeneric species
Fig. 7. Metafruticicola (Westerlundia) coartata. A. M. (Westerlundia) c. coartata Fuchs & Käufel, 1936, Greece, Cyclades, Makra Islet (NHMC 50.4056). Shell. B–D. M. (Westerlundia) c. gemina Fuchs & Käufel, 1936, Greece, Dodecanese, Karavia Nisia, north Islet (NHMC 50.6805). B. Shell. C. General view of genitalia. D. View of penial papilla. Abbreviations: see Material and methods.
Fig. 8 in A new species of Metafruticicola (Gastropoda, Hygromiidae) from the Aegean Archipelago and new anatomical and distributional data on some congeneric species
Fig. 8. Distribution of Metafruticicola (Westerlundia) coartata Fuchs & Käufel, 1936. Known (black) and new (red) distributional records on the presence of the species in various Aegean islands. — Greece, Cyclades: 1. Christiani; 2. Askania; 3. Thirasia; 4. Anafi; 5. Fteno; 6. Pacheia; 7. Makra; 8. Anydros; 9. Mikros Avelas; 10. Machaires; 11. Gramvousa; 12. Donousa; 13. Liadi. — Greece, Dodecanese: 14 Kinaros; 15. Megalo & Mikro Mavro; 16. Levitha; 17. Safonidi; 18. Ofidousa; 19. Pontikousa; 20. Fokionisia; 21. Astypalaia; 22. Chondros; 23. Lianos; 24. Agia Kyriaki; 25. Tigani; 26. Fteno; 27. Kounoupoi; 28. Koutsomytis; 29. Mikros & Megalos Aderfos; 30. Syrna; 31. Stefania; 32. Mesonisi; 33. Megali Zafora; 34. Sochas; 35. Mikri Zafora; 36. Karavi North; 37. Ounio West; 38. Ounio East.
Fig. 6 in A new species of Metafruticicola (Gastropoda, Hygromiidae) from the Aegean Archipelago and new anatomical and distributional data on some congeneric species
Fig. 6. Metafruticicola (Westerlundia) coartata coartata Fuchs & Käufel, 1936. A, D. Greece, Cyclades, Makra Islet (NHMC 50.4056). B, I. Greece, Cyclades, Fteno Islet (NHMC 50.3726). C, G. Greece, Dodecanese, Zafora Mikri Islet (NHMC 50.9955). E, H. Greece, Cyclades, Askania Islet (NHMC 50.4077). F. Greece, Cyclades, Christiani Islet (NHMC 50.3721). A. General view of genitalia. B–F. Diversity in the shape of penial papillae and inner surface of penial walls. G–I. Diversity in the shape of penis, vagina and the base of the duct of the gametolytic gland. Abbreviations: see Material and methods.
Fig. 1 in Novel distribution records and molecular data for species of Macrogyrodactylus Malmberg, 1957 (Monogenea: Gyrodactylidae) from Clarias gariepinus (Burchell) (Siluriformes: Clariidae) in southern Africa
Fig. 1. Map illustrating the sampling localities of Clarias gariepinus (Burchell) during the present study. A – Zambia; B – South Africa.
Fig. 2 in Novel distribution records and molecular data for species of Macrogyrodactylus Malmberg, 1957 (Monogenea: Gyrodactylidae) from Clarias gariepinus (Burchell) (Siluriformes: Clariidae) in southern Africa
Fig. 2. Micrographs showing the morphological features of Macrogyrodactylus clarii Gussev, 1961 (A–C), M. congolensis (Prudhoe, 1957) (D–F), and M. karibae Douëllou et Chishawa, 1995 (G, H). A, D, G – hamuli complex; B, E, H – sickle of marginal hook; C, F, I – cirrus with spines.
Fig. 8 – Distribution maps. a in Five new species of the genus Griburius Haldeman from Central America (Coleoptera: Chrysomelidae, Cryptocephalinae)
Fig. 8 – Distribution maps. a, Griburius febriculosus; b, G. gracilis; c, G. mokaya; d, G. puncturatus; e, G. textus.
Fig. 10 in Born from rock: eight new species of Itauara Müller, 1888 (Trichoptera: Glossosomatidae) from southeastern Brazil, including phylogenetic and distributional comments on the genus
Fig. 10. Distribution map of the species of Itauara Müller, 1888, including the new species described here, highlighting the biomes in which the genus occurs.
Fig. 9 in Born from rock: eight new species of Itauara Müller, 1888 (Trichoptera: Glossosomatidae) from southeastern Brazil, including phylogenetic and distributional comments on the genus
Fig. 9. Itauara rupicola sp. nov., holotype (DZRJ 7629), male genitalia. A. Lateral view. B. Dorsal view. C. Ventral view. Scale bar = 0.1 mm.
Fig. 8 in Born from rock: eight new species of Itauara Müller, 1888 (Trichoptera: Glossosomatidae) from southeastern Brazil, including phylogenetic and distributional comments on the genus
Fig. 8. Itauara robertsonae sp. nov., holotype (DZRJ 7638), male genitalia. A. Lateral view. B. Dorsal view. C. Ventral view. Scale bar = 0.1 mm.
Fig. 7 in Born from rock: eight new species of Itauara Müller, 1888 (Trichoptera: Glossosomatidae) from southeastern Brazil, including phylogenetic and distributional comments on the genus
Fig. 7. Itauara mangaratiba sp. nov., holotype (DZRJ 7645), male genitalia. A. Lateral view. B. Dorsal view. C. Ventral view. Scale bar = 0.1 mm.
Fig. 6 in Born from rock: eight new species of Itauara Müller, 1888 (Trichoptera: Glossosomatidae) from southeastern Brazil, including phylogenetic and distributional comments on the genus
Fig. 6. Itauara holzenthali sp. nov., holotype (DZRJ 7642), male genitalia. A. Lateral view. B. Dorsal view. C. Ventral view. Scale bar = 0.1 mm.
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.