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Figure 5 in Integrative taxonomy of the primitively segmented spider genus Ganthela (Araneae: Mesothelae: Liphistiidae): DNA barcoding gap agrees with morphology
Figure 5. Ganthela jianensis Xu, Kuntner & Chen sp. nov. A, female (XUX-2013-536). B, C, female genitalia (XUX-2013-534): B, dorsal view; C, ventral view; RC, receptacular cluster. Scale bar 0.5 mm.
Figure 2 in Integrative taxonomy of the primitively segmented spider genus Ganthela (Araneae: Mesothelae: Liphistiidae): DNA barcoding gap agrees with morphology
Figure 2. DNA barcoding gap for Ganthela. Histograms show division of intraspecific (grey) and interspecific (black) COI sequence variation based on Kimura two-parameter (K2P, A) and uncorrected p-distance (B).
Figure 8 in Integrative taxonomy of the primitively segmented spider genus Ganthela (Araneae: Mesothelae: Liphistiidae): DNA barcoding gap agrees with morphology
Figure 8. Ganthela xianyouensis Xu, Kuntner & Chen sp. nov. A, female (XUX-2013-151). B, C, female genitalia (XUX- 2013-153): B, dorsal view; C, ventral view. RC, receptacular cluster. Scale bar: 0.5 mm.
Figure 4 in Integrative taxonomy of the primitively segmented spider genus Ganthela (Araneae: Mesothelae: Liphistiidae): DNA barcoding gap agrees with morphology
Figure 4. Ganthela cipingensis (Wang, 1989). A, female (XUX-2013-516). B, C, female genitalia (XUX-2013-517): B, dorsal view; C, ventral view; RC, receptacular cluster. Scale bar: 0.5 mm.
Figure 7 in Integrative taxonomy of the primitively segmented spider genus Ganthela (Araneae: Mesothelae: Liphistiidae): DNA barcoding gap agrees with morphology
Figure 7. Ganthela wangjiangensis Xu, Kuntner & Liu sp. nov. A, B, female genitalia (XUX-2013-159). A, dorsal view; B, ventral view. RC, receptacular cluster. Scale bar: 0.5 mm.
Figure 3 in Integrative taxonomy of the primitively segmented spider genus Ganthela (Araneae: Mesothelae: Liphistiidae): DNA barcoding gap agrees with morphology
Figure 3. Haplotype networks of Ganthela under a 95% parsimony criterion. The size of each open circle indicates haplotype frequency, numbers preceded by 'H' indicate haplotype number, and numbers in brackets indicate population sizes. Open dots on lines connecting haplotypes indicate a substitution. Dashed lines enclosing haplotype networks correspond to morphological and consensus species.
Figure 6 in Integrative taxonomy of the primitively segmented spider genus Ganthela (Araneae: Mesothelae: Liphistiidae): DNA barcoding gap agrees with morphology
Figure 6. Ganthela qingyuanensis Xu, Kuntner & Liu sp. nov. A, female (XUX-2013-139). B, C, female genitalia (XUX- 2013-142). D, E, female genitalia (XUX-2013-148). B, D, dorsal view; C, E, ventral view. F–H, male (XUX-2012-228) palp: F, prolateral view; G, ventral view; H, retrolateral view. Abbreviations: Co, conductor; CT, contrategulum; E, embolus; PC, paracymbium; T, tegulum; Scale bars: B–E, 0.5 mm; F–H, 1 mm.
Figure 9 in Integrative taxonomy of the primitively segmented spider genus Ganthela (Araneae: Mesothelae: Liphistiidae): DNA barcoding gap agrees with morphology
Figure 9. Ganthela venus Xu sp. nov. A, B, female genitalia (XUX-2013-160): A, dorsal view; B, ventral view. RC, receptacular cluster. Scale bar: 0.5 mm.
Figure 1. Bayesian COI gene tree for 51 in Integrative taxonomy of the primitively segmented spider genus Ganthela (Araneae: Mesothelae: Liphistiidae): DNA barcoding gap agrees with morphology
Figure 1. Bayesian COI gene tree for 51 terminals of Ganthela, with the results of five different species delimitation approaches, in addition to morphology (see legend). Numbers above branches show posterior probability and bootstrap supports, and values below branches show mean intraspecific (black) and interspecific genetic distances (red), calculated as Kimura two-parameter (K2P)/p-distance. Species names and locality group terminals (for specimen codes, see Table 1) according to consensus results of species delimitation approaches.
Terrestrial water storage deficits during the GRACE and GRACE-FO gap
<p>This datasets provide predictions of the terrestrial water storage anomalies (TWSAs) during the 11-month gap (July 2017-May 2018) between the GRACE satellite and its follow-on GRACE-FO. The predictions were obtained by a hydroclimatic data-driven Bayesian convolutional neural network driven. The training period is April 2002-March 2014. Based on the predicted TWSAs, the terrestrial water storage deficit (WSD) dataset and its standardized version, the WSD index (WSDI) dataset, are also provided. </p> <p>The GIF animation depicts the GRACE and BCNN TWSAs in the 70 testing months (April 2014-June 2017 and June 2018-December 2020) and the 11-month gap (July 2017-May 2018).</p>
DEFRA Centre of Excellence for DNA Methods: Initiation of UKBOL and filling priority gaps: Appendices
<p>Supplementary data for the DEFRA Centre of Excellence for DNA Methods report: Initiation of UKBOL and filling priority gaps.</p> <p>Appendix 1: UKBOL Terms of Reference</p> <p>Appendix 2: UKBOL specimen list from ANBIO project.</p> <p>Appendix 3: UKBOL specimen list from FBUK project.</p> <p>Appendix 4: UKBOL specimen list from UKAN project.</p>
Selection in space and time: individual tree growth is adapted to tropical forest gap dynamics
<p>In the present study, we assessed genotypic diversity within closely-related sympatric tree species belonging to the widespread tropical tree species complex <em>Symphonia globulifera</em>. We addressed the fine-scale spatial and temporal genetic adaptations of individuals through differential growth strategies in response to forest gap dynamics. We finally compared the breadth of successional niches encountered by <em>Symphonia</em> species to other locally abundant species. Combining tree diameter censuses, indirect measures of light environment of the recent past and present, and single nucleotide polymorphisms (SNPs), we used population genomics, environmental association analyses, genome wide association and growth modelling to address the following questions:</p> <ul> <li>Are individual genotypes structured by the mosaic of light and competition environments resulting from forest gap dynamics?</li> <li>Is the growth of individuals determined by genotypes?</li> <li>Is there an association between genotypic adaptations to gap dynamics and to growth?</li> <li>How are genotypic adaptations to gap dynamics and to growth structured in time, i.e., across life stages?</li> <li>Are breadths of successional niches for <em>Symphonia</em> species wider than those of other locally abundant species?</li> </ul> <p>Find the analyses here : https://sylvainschmitt.github.io/GOING/introduction.html</p>
FIGURE1. Map showing the sampling localities and distribution of all valid Korean species identified and described so far. The black line between Stations 6a and 6b represents a man-made road with no gap for water entry from either side. Stations 1 to 15 refer to the study sites in Vakati et al. (2019), station 16 refers to the study site in Kim et al. (2017). in -On- two- new- species- of- Nannopus- Brady,- 1880- (Copepoda:- Harpacticoida Nannopodidae)-from-intertidal-mudflats-of-the-Korean-west-coast-(Yellow-Sea)
FIGURE1. Map showing the sampling localities and distribution of all valid Korean species identified and described so far. The black line between Stations 6a and 6b represents a man-made road with no gap for water entry from either side. Stations 1 to 15 refer to the study sites in Vakati et al. (2019), station 16 refers to the study site in Kim et al. (2017).
Diferencia entre un material con gap directo y otro con gap indirecto
<p>Video en el cual se explica las diferencias entre un material que tiene gap directo con otro que tiene gap directo</p>
FIGURE 1. Primula sherriffiae W.W in Notes on recollection of Primula sherriffiae W.W.Sm. after a gap of 74 years from India with comments on the typification of the name
FIGURE 1. Primula sherriffiae W.W.Sm.: A: Habit showing population at Poi, Maipur; B. & C.: Closeup view.
Figure 1 in Filling the knowledge gaps of Paratelmatobius mantiqueira (Anura: Leptodactylidae): tadpole, acoustic repertoire, and life history traits
Figure 1. Breeding site used by Paratelmatobius mantiqueira observed in Reserva das Araucárias, municipality of São José dos Campos, São Francisco Xavier subdistrict, state of São Paulo, Brazil. (a) In site I, the puddles used for breeding were always below rocks and contained the sandy substrate without organic matter. (b) The area of site I is permanently muddy and has a spring between rocks in a rocky outcrop that retains water throughout the year. (c) At site II, the puddle they used for reproduction was in a sandy substrate with more organic matter accumulation. In addition, it was not located under rocks as in site I.
Figure 3 in Filling the knowledge gaps of Paratelmatobius mantiqueira (Anura: Leptodactylidae): tadpole, acoustic repertoire, and life history traits
Figure 3. Tadpoles of Paratelmatobius mantiqueira observed in Reserva das Araucárias, municipality of São José dos Campos, São Francisco Xavier subdistrict, state of São Paulo, Brazil. (a–c) Sequence of a tadpole ingesting atmospheric air from bubbles. Tadpoles swam quickly to the surface of the water, captured an atmospheric air bubble and released it shortly after sinking to the bottom of the puddle. (d) Tadpoles foraged in any substrate in the ponds: under leaves, branches, and rocks. (e) Tadpole alive in the aquarium and (g) post-metamorphic.
Figure 4 in Filling the knowledge gaps of Paratelmatobius mantiqueira (Anura: Leptodactylidae): tadpole, acoustic repertoire, and life history traits
Figure 4. Reproductive behaviour of Paratelmatobius mantiqueira observed in Reserva das Araucárias, municipality of São José dos Campos, São Francisco Xavier subdistrict, state of São Paulo, Brazil. (a) Individual 30 of P. mantiqueira vocalising at the reproductive site: a small pond (3 cm deep) under a rocky outcrop. (b) Axillary amplexus of unidentified individuals. Note the female's darker colour pattern and larger body size. (c) Egg clutch with six eggs. (d) Tadpoles of P. mantiqueira in the puddle; (e) the same puddle with the spawning and the male of Bokermannohyla luctuosa.
Figure 6 in Filling the knowledge gaps of Paratelmatobius mantiqueira (Anura: Leptodactylidae): tadpole, acoustic repertoire, and life history traits
Figure 6. Rose diagram representing the occurrence of Paratelmatobius mantiqueira throughout the year. The length and direction of the arrow indicate the amount of data concentration throughout the year, showing that the highest occurrence concentration is distributed in the rainy season. The solid circle in the centre of the diagram indicates the Rayleigh confidence interval for the length of the arrow.
Figure 2 in Filling the knowledge gaps of Paratelmatobius mantiqueira (Anura: Leptodactylidae): tadpole, acoustic repertoire, and life history traits
Figure 2. External morphology of Paratelmatobius mantiqueira tadpoles at stage 40: (a) lateral; (b) dorsal; and (c) ventral view (scale bar = 5 mm). (d) Detail of spiracular aperture, with yellow arrows indicating neuromasts (scale bar = 0.5 mm). (e) Right nare with an elevated marginal rim (scale bar = 0.1 mm). (f) Vent tube (scale bar = 0.2 mm). (g) Open oral disc (scale bar = 0.2 mm). Tadpoles were stained with methylene blue to highlight structures.
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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.