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101
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101 results for “Southern Asia”
FIGURE 4 in A new species of Coleusia Galil, 2006 (Decapoda: Brachyura: Leucosiidae) from southern Asia
FIGURE 4. Left male first gonopod of Coleusia huilianae n. sp., paratype male (carapace length 37.2 mm, carapace width 33.3) (ZRC 2000.0094), setae denuded. Scales: A = 3.0 mm; B, C = 1.0 mm.
FIGURE 8 in Two new species of Elaphoidella (Copepoda, Harpacticoida) from caves in southern Thailand and a key to the species of Southeast Asia
FIGURE 8. Elaphoidella ligorae sp. nov. Female: A, antennule; B, antenna; C, mandible; D, maxillule; E, maxilla; F, maxilliped. Male: G, antennule. Scale bar: 50 µm.
FIGURE 7 in Two new species of Elaphoidella (Copepoda, Harpacticoida) from caves in southern Thailand and a key to the species of Southeast Asia
FIGURE 7. Elaphoidella ligorae sp. nov. Female: A, habitus, dorsal view; B, urosome (without urosomite 1), dorsal view; C, urosome (without urosomite 1), ventral view; D, urosome (without urosomite 1), lateral view. Scale bar: 50 µm.
FIGURE 5 in Two new species of Elaphoidella (Copepoda, Harpacticoida) from caves in southern Thailand and a key to the species of Southeast Asia
FIGURE 5. Elaphoidella paraaffinis sp. nov. Male: A, habitus, dorsal view; B, urosome (without urosomite 1), dorsal view; C, urosome (without urosomite 1), ventral view; D, urosome (without urosomite 1), lateral view. Scale bar: 50 µm.
FIGURE 2 in Two new species of Elaphoidella (Copepoda, Harpacticoida) from caves in southern Thailand and a key to the species of Southeast Asia
FIGURE 2. Elaphoidella paraaffinis sp. nov. Female: A, habitus, dorsal view; B, urosome (without urosomite 1), dorsal view; C, urosome (without urosomite 1), ventral view; D, urosome (without urosomite 1), lateral view. Scale bar: 50 µm.
FIGURE 1 in Two new species of Elaphoidella (Copepoda, Harpacticoida) from caves in southern Thailand and a key to the species of Southeast Asia
FIGURE 1. The geographical distribution of the genus Elaphoidella Chappuis, 1929 in Southeast Asia. Black dots indicate approximate locations of Elaphoidella sampling sites; arrows indicate locations of two new species. Numbers are the same as in Table 1.
FIGURE 10 in Two new species of Elaphoidella (Copepoda, Harpacticoida) from caves in southern Thailand and a key to the species of Southeast Asia
FIGURE 10. Elaphoidella ligorae sp. nov. Male: A, habitus, dorsal view; B, urosome (without urosomite 1), dorsal view; C, urosome (without urosomite 1), ventral view; D, urosome (without urosomite 1), lateral view. Scale bar: 50 µm.
FIGURE 3. a–g in First report of the genus Xerophorus from Asia with the description of Xerophorus pakistanicus (Callistosporiaceae), a new species from Southern Punjab, Pakistan
FIGURE 3. a–g Line drawings of Xerophorus pakistanicus (Holotype; LAH37886) a = Basidia, b = Basidiospores, c–d = Cheilocystidia, e = Pileipellis, f = Stipitipellis, g = Caulocystidia. Scale bars: a–d = 5 µm; e–g = 3 µm. Drawings by: Muhammad Asif.
FIGURE 2. a–d in First report of the genus Xerophorus from Asia with the description of Xerophorus pakistanicus (Callistosporiaceae), a new species from Southern Punjab, Pakistan
FIGURE 2. a–d Basidiomata of Xerophorus pakistanicus (Holotype; LAH37886); e Habitat. Photos by: Muhammad Asif
FIGURE 1 in First report of the genus Xerophorus from Asia with the description of Xerophorus pakistanicus (Callistosporiaceae), a new species from Southern Punjab, Pakistan
FIGURE 1. Molecular phylogenetic placement of Xerophorus pakistanicus based on the Maximum Likelihood (ML) and Bayesian Inference (BI) analyses of combined nrITS-28S sequences. Newly generated sequences are indicated by bold text, and 'T' refers to the type specimen.
SSR data of Plutella xylostella samples collected from Southern China and Southeast Asia
<p>Genetic makeup of insect pest is informative for source-sink dynamics, spreading of resistant genes, and effective management. However, collecting samples from geographical populations without considering temporal resolution and calculating parameters related to historical gene flow may not capture contemporary genetic pattern and metapopulation dynamics of highly dispersive pests. <em>Plutella xylostella</em> (L.), the most widely distributed Lepidopteran pest that developed resistance to almost all current insecticides, migrates heterogeneously across space and time. To investigate its real-time genetic pattern and dynamics, we executed four samplings over two consecutive years across Southern China and Southeast Asia, and constructed population network based on contemporary gene flow. Across 48 populations, genetic structure analysis identified two differentiated insect swarms, of which the one with higher genetic variation was replaced by the other over time. We further inferred gene flow by estimation of kinship relationship and constructed migration network in each sampling time. Interestingly, we found mean migration distance at around 1000 km. Such distance might have contributed to the formation of step-stone migration and migration circuit over large geographical scale. Probing network clustering across sampling times, we found a dynamic metapopulation of <em>P. xylostella</em> with more active migration in spring than in winter, and identified some regions are consistent sources (e.g., Yunnan in China, Myanmar and Vietnam) while several others are persistent sinks (e.g., Guangdong and Fujian in China) in its overwintering regions. Rapid turnover of insect swarms and highly dynamic metapopulation highlight the importance of temporal sampling and network analysis in investigation of source-sink relationships and thus effective pest management.</p>
FIGURES 170–171. Collecting methods. 170 in The female velvet ants (aka modkhong) of southern Thailand (Hymenoptera: Mutillidae), with a key to the genera of southeast Asia
FIGURES 170–171. Collecting methods. 170. Modkhong Team collecting mutillid females in agriculture habitat near Phnom Bencha, Krabi Province; 171. MKT collecting mutillids in leaf litter at forest edge near Prince of Songkhla University, Hat Yai, Songkhla Province.
FIGURES 155–164 in The female velvet ants (aka modkhong) of southern Thailand (Hymenoptera: Mutillidae), with a key to the genera of southeast Asia
FIGURES 155–164. Mutillinae: Trogaspidiini females V. 155–157. Trogaspidia fuscipennis; 158–160. T. pagdeni. 161–164. T. wilsoni, sp. nov.. 155, 158, 161. Habitus, dorsal view; 156, 159, 162. Habitus, lateral view; 163. Face view; 157, 160, 164. T6.
FIGURES 125–136 in The female velvet ants (aka modkhong) of southern Thailand (Hymenoptera: Mutillidae), with a key to the genera of southeast Asia
FIGURES 125–136. Mutillinae: Trogaspidiini females II. 125–127. Krombeinidia meeungensis; 128–130. K. agricola, sp. nov.; 131–133. K. chang, sp. nov.; 134–136. K. baanmaka, sp. nov. 125, 128, 131, 134. Habitus, dorsal view; 126, 129, 132, 135. Habitus, lateral view; 127, 130, 133, 136. Face view.
FIGURES 95–106 in The female velvet ants (aka modkhong) of southern Thailand (Hymenoptera: Mutillidae), with a key to the genera of southeast Asia
FIGURES 95–106. Mutillinae: Smicromyrmini females V. 95–97. Nemka conjungenda; 98–100. Smicromyrme borkenti, sp. nov.; 101–103. S. lochius; 104–106. S. helarctos, sp. nov. 95, 98, 101, 104. Habitus, dorsal view; 96, 99, 102, 105. Habitus, lateral view; 97, 100, 103, 106. T6.
FIGURES 107–114 in The female velvet ants (aka modkhong) of southern Thailand (Hymenoptera: Mutillidae), with a key to the genera of southeast Asia
FIGURES 107–114. Mutillinae: Smicromyrmini females VI. 107–110. Smicromyrme triguttatus. 111–114. S. thaochani, sp. nov.; 107, 111. Habitus, dorsal view; 108, 112. Habitus, lateral view; 109, 113. T6; 110, 114. Face view.
FIGURES 86–94 in The female velvet ants (aka modkhong) of southern Thailand (Hymenoptera: Mutillidae), with a key to the genera of southeast Asia
FIGURES 86–94. Mutillinae: Smicromyrmini females IV. 86–91. Mickelomyrme puttasoki, sp. nov.; 92–94. M. kinguri, sp. nov. 86, 89, 90, 92. Habitus, dorsal view; 87, 91, 93. Habitus, lateral view; 88, 94. T6.
FIGURES 56–67 in The female velvet ants (aka modkhong) of southern Thailand (Hymenoptera: Mutillidae), with a key to the genera of southeast Asia
FIGURES 56–67. Mutillinae: Smicromyrmini females I. 56–58. Nordeniella maleeae, sp. nov.; 59–61. Sinotilla belokobylskiji; 62–64. S. cyaneiventris; 65–67. Promecilla decora. 56, 59, 62, 65. Habitus, dorsal view; 57, 60, 63, 66. Habitus, lateral view; 58, 61, 64, 67. Face view.
FIGURES 36–47 in The female velvet ants (aka modkhong) of southern Thailand (Hymenoptera: Mutillidae), with a key to the genera of southeast Asia
FIGURES 36–47. Myrmillinae: Bischoffitilla females. 36–38. B. lamellata; 39–41. B. perakensis; 42–44. B. cambrai, sp. nov.; 45–47. B. tokay, sp. nov. 36, 39, 42, 45. Habitus, dorsal view; 37, 40, 43, 46. Habitus, lateral view; 38, 41, 44, 47. Face view.
FIGURES 29–35. Rhopalomutillinae and Dasylabrinae females 29–32 in The female velvet ants (aka modkhong) of southern Thailand (Hymenoptera: Mutillidae), with a key to the genera of southeast Asia
FIGURES 29–35. Rhopalomutillinae and Dasylabrinae females 29–32. Pherotilla striganovae; 33–35. Orientilla vietnamica. 29, 33. Habitus, dorsal view; 30, 34. Habitus, lateral view; 31, 35. Face view; 32. T6.
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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.