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66 results for “Geophis”
Figure 3 in Not so rare snakes: a revision of the Geophis sieboldi group (Colubridae: Dipsadinae) in lower Central America and Colombia
Figure 3. Dorsal patterns in Geophis: A, light spots, typical of snakes from western Panama; B, longitudinal lateral light stripes found in many Costa Rican snakes; C, light blotches and transverse bands, typical of many snakes from Costa Rica.
Figure 2 in Not so rare snakes: a revision of the Geophis sieboldi group (Colubridae: Dipsadinae) in lower Central America and Colombia
Figure 2. Head plates and coloration in Geophis: A, dorsal view showing light head band; B, ventral view; note two preventrals (postgenials) between midgular and first ventral.
Figure 1 in Not so rare snakes: a revision of the Geophis sieboldi group (Colubridae: Dipsadinae) in lower Central America and Colombia
Figure 1. Lateral head scalation in Geophis: A, pattern typical of G. zeledoni; B, pattern typical of G. brachycephalus complex; C, variant pattern; D, pattern typical of G. hoffmanni. PT, posterior temporal; U, upper postsupralabial; L, lower postsupralabial; PI, postinfralabial; number of supralabials and infralabials indicated by Arabic numerals; number of jubals indicated by Roman numerals.
Fig. 16 in Rare Snakes-Five New Species from Eastern Panama: Reviews of Northern Atractus and Southern Geophis (Colubridae: Dipsadinae)
Fig. 16. Colombian holotype of Geophis nigroalbus Boulenger. BMNH 1946.1.6.50 (formerly
Fig. 5 in Rare Snakes-Five New Species from Eastern Panama: Reviews of Northern Atractus and Southern Geophis (Colubridae: Dipsadinae)
Fig. 5. Hemipenis of Atractus clarki (MCZ 133013). Uneverted left organ opened midventrally, ×10.
Figure 14 in Not so rare snakes: a revision of the Geophis sieboldi group (Colubridae: Dipsadinae) in lower Central America and Colombia
Figure 14. Geographical distribution of two species of Geophis in Costa Rica.
Figure 12 in Not so rare snakes: a revision of the Geophis sieboldi group (Colubridae: Dipsadinae) in lower Central America and Colombia
Figure 12. Variation in segmental counts in Geophis tectus sp. nov. from Panama.
Figure 4 in Another case of colour pattern polymorphism in Earth Snakes of the genus Geophis (Dipsadidae) from southern Mexico
Figure 4. Geographic distribution of the species of the Geophis sieboldi group in the states of Guerrero and Oaxaca, Mexico. Closed squares = G. cf. sieboldi; open squares = G. sallaei; closed triangles = G. petersii; open triangles = G. occabus; open circles = G. russatus; closed circles = G. laticollaris.
Figure 3 in Another case of colour pattern polymorphism in Earth Snakes of the genus Geophis (Dipsadidae) from southern Mexico
Figure 3. Hemipenial morphology of G. laticollaris (MZFC 35649) on sulcate (left) and asulcate (right) views. Length of the organ = 10.6 mm.
Figure 1 in Another case of colour pattern polymorphism in Earth Snakes of the genus Geophis (Dipsadidae) from southern Mexico
Figure 1. Phylogenetic relationships of Geophis based on a Bayesian analysis of partial sequences of the cyt-b mitochondrial gene. Numbers at nodes represent Bayesian posterior probabilities/bootstrap values.
Figure 2 in Another case of colour pattern polymorphism in Earth Snakes of the genus Geophis (Dipsadidae) from southern Mexico
Figure 2. Colour pattern variation exhibited by Geophis russatus (a: MZFC 35650, b: MZFC 35648, c: MZFC 35647) and G. laticollaris (d: MZFC 35649, e: MZFC 34933, f: MZFC 34932).
Dataset for "Number-size distribution and CCN activity of atmospheric aerosols in the western North Pacific during spring pre-bloom period: Influences of terrestrial and marine sources, J. Geophys. Res. Atmos."
<p>A cruise observation was conducted over the western North Pacific Ocean in March 2015. The dataset in the excel sheet contains aerosol number-size distributions and CCN number concentrations along with ship positions and date/time. This dataset is for Kawana et al. in Journal of Geophysical Research: Atmospheres.</p> <p>Kaori Kawana, Yuzo Miyazaki, Yuko Omori, Hiroshi Tanimoto, Sara Kagami, Koji Suzuki, Youhei Yamashita, Jun Nishioka, Yange Deng, Hikari Yai, and Michihiro Mochida: Number-size distribution and CCN activity of atmospheric aerosols in the western North Pacific during spring pre-bloom period: Influences of terrestrial and marine sources, J. Geophys. Res. Atmos.</p>
Data and software in support of article submitted to Journal Geophy. Res. Atmos., titled "Self lofting increases altitude of black carbon in a climate model""
<p>The collection provides data and software to support a journal article submission to the Journal of Geophysical Research Atmospheres. The contents will allow potential future investigators to explore the simulation data and reproduce the analyses in the submitted article.</p> <p>This dataset includes 7 tarred files that when expanded will contain a set of netcdf data files and a collection of python programs to read and analyze the data. The data provided in the netcdfs are model outputs from the UK Earth System Model (UKESM1) from a pair of simulations that explored the impact of black carbon aerosol on atmospheric motion.</p> <p> </p>
Supplementary material 1 from: Canseco-Márquez L, Pavón-Vázquez CJ, López-Luna MA, Nieto-Montes de Oca A (2016) A new species of earth snake (Dipsadidae, Geophis) from Mexico. ZooKeys 610: 131-145. https://doi.org/10.3897/zookeys.610.8605
Table S1. Specimens examined. : Explanation note: All of the specimens are from Mexico. The table is arranged alphabetically by species name and specimen voucher number, in that order.
Dataset for "Additive water uptake of the mixtures of urban atmospheric HULIS and ammonium sulfate, J. Geophys. Res. Atmos."
<p>The hygroscopicity of humic-like substances (HULIS) and their mixtures with ammonium sulfate in various proportions were investigated. The dataset in the Excel sheet contains measured hygroscopic growth factors and parameters derived from them, results of sensitivity analysis considering surfactants, and estimated proportions of multiply charged particles for Zhou et al. in Journal of Geophysical Research: Atmospheres. The dataset is based on the work supported by JSPS KAKENHI JP19H04253, JP20F20397, and JP23H00515.</p> <p>Ruichen Zhou, Sonia Afsana, Chenran Wei, and Michihiro Mochida: Additive water uptake of the mixtures of urban atmospheric HULIS and ammonium sulfate, J. Geophys. Res. Atmos.</p>
Dataset for "Relationships of the Hygroscopicity of HULIS with Their Degrees of Oxygenation and Sources in the Urban Atmosphere, J. Geophys. Res. Atmos."
<p>The hygroscopicity of humic-like substances (HULIS) from Beijing aerosols and its relationship with the degrees of oxygenation and sources were investigated. The dataset in the Excel sheet contains the measured hygroscopicity parameter (<em>κ</em>), elemental ratios, and estimated intrinsic<em> κ</em> for HULIS, and the mass-based source contributions to HULIS, the <em>κ</em> estimated for total organic aerosol and the high-polarity fraction of water-soluble organic matter, and other data for Zhou et al. in Journal of Geophysical Research: Atmospheres. The concentrations and elemental ratios of HULIS and the source contributions to HULIS (both in µg/m<sup>3</sup> and percentage) were taken from Zhou et al. (2021). The dataset is based on the work supported by JSPS KAKENHI JP19H04253 and the National Natural Science Foundation of China (grant no. 41625014).</p> <p>Ruichen Zhou, Yange Deng, Bhagawati Kunwar, Qingcai Chen, Jing Chen, Lujie Ren, Kimitaka Kawamura, Pingqing Fu, and Michihiro Mochida: Relationships of the hygroscopicity of HULIS with their degrees of oxygenation and sources in the urban atmosphere, J. Geophys. Res. Atmos.</p> <p>Ruichen Zhou, Qingcai Chen, Jing Chen, Lujie Ren, Yange Deng, Petr Vodicka, Dhananjay K.Deshmukh, Kimitaka Kawamura, Pingqing Fu, and Michihiro Mochida: Distinctive sources govern organic aerosol fractions with different degrees of oxygenation in the urban atmosphere, Environ. Sci. Technol., 55, 4494–4503, 2021.</p>
Supplementary Information Table for J. Geophys. Res. article: A Survey of Small-Scale Waves and Wave-Like Phenomena in Jupiter's Atmosphere Detected by JunoCam
<p>Text version of the Table in the Supplementary Information file associated with the J. Geophys. Res. article by Orton et al. (2020) A Survey of Small-Scale Waves and Wave-Like Phenomena in Jupiter’s Atmosphere Detected by JunoCam. The columns provide values for various sizes and orientations associated with waves detected by the Juno spacecraft's JunoCam visible imaging instrument. The values include the perijove, PJ (orbit close approach), image number, number of wave crests detected, the mean longitude and latitude, the length and width of the wave packet, the wavelength (mean distance between wave crests), and the tilt (angle of the wave crest with respect to the direction of the wave).</p>
Supplementary material 2 from: Canseco-Márquez L, Pavón-Vázquez CJ, López-Luna MA, Nieto-Montes de Oca A (2016) A new species of earth snake (Dipsadidae, Geophis) from Mexico. ZooKeys 610: 131-145. https://doi.org/10.3897/zookeys.610.8605
Table 2. Selected characters in the species of the Geophis dubius group. :
Fig. 11 in Rare Snakes-Five New Species from Eastern Panama: Reviews of Northern Atractus and Southern Geophis (Colubridae: Dipsadinae)
Fig. 11. Geophis bellus, new species. The holotype (KU 110703) shown approximately two times life size.
Figure 10 in Not so rare snakes: a revision of the Geophis sieboldi group (Colubridae: Dipsadinae) in lower Central America and Colombia
Figure 10. Polychromatism in four populations of the Geophis brachycephalus complex; U, uniform; SP, spots; B, blotched/banded; S, striped. Rows indicate (from top) Costa Rica, Lérida, Boquete and Colombia.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.