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10,767 results for “Contribution”
FIGURE 6. A–D in Contributions to the knowledge of Ceroys (Miroceroys) Piza, 1936 (Phasmatodea Heteronemiidae): two new mossy stick insects from the Atlantic Forest of Brazil
FIGURE 6. A–D. Egg of Ceroys (Miroceroys) cancelloae sp. nov., from the female holotype. A. Lateral view. B. Dorsal view. C. Anterior view. D. Detail of micropylar plate in dorsal view. Abbreviations. Mcup, micropylar cup; Mip, micropylar plate; MLi, micropylar line; Opc, operculum. Scale bars: 0.5 mm.
FIGURE 3. A–B in Contributions to the knowledge of Ceroys (Miroceroys) Piza, 1936 (Phasmatodea Heteronemiidae): two new mossy stick insects from the Atlantic Forest of Brazil
FIGURE 3. A–B. Metathoracic morphology of Ceroys (Miroceroys) cancelloae sp. nov., in dorsal view. A. Holotype female V0034. B. Paratype male V0033. Abbreviations. Cx, coxa; Cxp, coxopleurite; Epm, epimeron; Eps, episternum; Mds, median segment; Msn, mesonotum; Mtn, metanotum; Tg, tergite. Scale bars: 1 mm.
FIGURES 13–16 in Contributions to the taxonomy, identification, and biogeography of Palaearctic Campopleginae (Hymenoptera: Ichneumonidae), with the descriptions of four new species from Iran
FIGURES 13–16. Melalophacharops persicus Vas, sp. nov. 13, holotype female, lateral habitus, scale bar = 1 mm; 14, head, frontal view; 15, head, dorsal view; 16, propodeum, dorsal view.
FIGURES 1–4 in Contributions to the taxonomy, identification, and biogeography of Palaearctic Campopleginae (Hymenoptera: Ichneumonidae), with the descriptions of four new species from Iran
FIGURES 1–4. Campoletis rubella Vas, sp. nov. 1, holotype female, lateral habitus, scale bar = 1 mm; 2, head, frontal view; 3, head, dorsal view; 4, propodeum, dorsal view.
FIGURES 9–12 in Contributions to the taxonomy, identification, and biogeography of Palaearctic Campopleginae (Hymenoptera: Ichneumonidae), with the descriptions of four new species from Iran
FIGURES 9–12. Lemophagus eburnipes Vas, sp. nov. 9, holotype female, lateral habitus, scale bar = 1 mm; 10, head, frontal view; 11, head, dorsal view; 12, propodeum, dorsal view.
FIGURES 5–8 in Contributions to the taxonomy, identification, and biogeography of Palaearctic Campopleginae (Hymenoptera: Ichneumonidae), with the descriptions of four new species from Iran
FIGURES 5–8. Cymodusopsis riedeli Vas, sp. nov. 5, holotype female, lateral habitus, scale bar = 1 mm; 6, head, frontal view; 7, head, dorsal view; 8, propodeum, dorsal view.
contribution of atmospheric transport to phosphorus in the East China Sea in summer
<p>For the analysis of the main sources of phosphate in the East China Sea during summer, we choose the area between 120.93 ˚ E-125.9 ˚ E and 26.08˚ N-32.35 ˚ N as research sites . The samples were all from the voyage of the research ship (Xiangyanghong 18). Surface seawater was collected at 49 stations for δ<sup>18</sup>O<sub>p</sub> analysis by a conductivity-temperature-depth profiler. Then we utilized δ<sup>18</sup>O<sub>p</sub> to trace the source of phosphate in the East China Sea. </p> <p>The δ<sup>18</sup>O<sub>p</sub> values in seawater are affected by water masses with different phosphate concentrations.We need the two-component mixing model for the analysis of water masses that control phosphate.In this research, atmospheric deposition and adjacent sea transportation were used as terrestrial and seawater end-members respectively to construct the δ<sup>18</sup>O<sub>p</sub> end-member mixing model.</p> <p>In order to quantify the source of phosphate in the sea, a Bayesian isotope mixing model run in the R software package (Stable Isotope Analysis in R, SIAR) was selected for analysis.</p>
PM2.5 data for "Contribution of fire emissions to PM2.5 and its transport mechanism over the Yungui Plateau, China during 2015–2019"
<p>PM2.5 data for "Contribution of fire emissions to PM2.5 and its transport mechanism over the Yungui Plateau, China during 2015–2019"</p>
Data from: Detecting seminal research contributions to the development of ethnobotany by reference publication year spectroscopy (RPYS)
<p>This study aims to assess the growth in overall publication output in ethnobotany as well as provide a systematic examination of the history of ethnobotanical publications using reference publication year spectroscopy (RPYS). The study is based on 5201 papers published between 1974 and 2019 covering 290006 non-distinct cited references (CRs), indexed in Science Citation Index-Expanded (SCI-Expanded) of Web of Science (WoS). The regression analysis indicated a compound annual growth rate of approximately 11% globally in ethnobotanical publications and the volume of publications doubles every approximately 6 years. The reference publication period was divided into four sub-periods in which a total of 31 peaks are clearly identifiable, including five peaks from the first period (earliest to 1800), ten from the second (1801–1900), nine from the third (1901–1950) and seven from the last period (1951–2000). A total of 44 publications were found to have been especially influential and landmark. Out of them, 31 (70%) were books and 11 (25%) were articles. Out of the 11 articles, 5 (45%) were published in the same journal (Economic Botany). The first period had the lowest number of publications (5), including classic books like the Spanish translation of Dioscorides' <em>Materia Medica </em>and Carolus Linnaeus' <em>Systema naturæ.</em> Interestingly, about 30% of the studies that laid the foundation of ethnobotany and are discussed in this paper come from South Africa, pointing to the contribution of the African Continent to the foundation of the field of ethnobotany.</p>
Replication Package for "Automating Code Review: Using Deep Learning to Assess the Quality of Code Contributions and Recommend Changes"
<p>Replication Package for "Automating Code Review: Using Deep Learning to Assess the Quality of Code Contributions and Recommend Changes"</p>
A tale of two plasmids: contributions of plasmid associated phenotypes to epidemiological success among Shigella
Dissemination of antimicrobial resistance (AMR) genes by horizontal gene transfer (HGT) mediated through plasmids is a major global concern. Genomic epidemiology studies have shown varying success of different AMR plasmids during outbreaks, but the underlying reasons for these differences are unclear. Here, we investigated two Shigella plasmids (pKSR100 and pAPR100) that circulated in the same transmission network but had starkly contrasting epidemiological outcomes to identify plasmid features that may have contributed to the differences. We used plasmid comparative genomics to reveal divergence between the two plasmids in genes encoding AMR, SOS response alleviation, and conjugation. Experimental analyses revealed that these genomic differences corresponded with reduced conjugation efficiencies for the epidemiologically successful pKSR100, but more extensive AMR, reduced fitness costs, and a reduced SOS response in the presence of antimicrobials, compared with the less successful pAPR100. The discrepant phenotypes between the two plasmids are consistent with the hypothesis that plasmid associated phenotypes contribute to determining the epidemiological outcome of AMR HGT and suggest that phenotypes relevant in responding to antimicrobial pressure and fitness impact may be more important than those around conjugation in this setting. Plasmid phenotypes could thus be valuable tools in conjunction with genomic epidemiology for predicting AMR dissemination.
FIGURE 13 in Contribution to the knowledge of the genus Dendarus Dejean, 1821 (Coleoptera: Tenebrionidae: Blaptinae: Dendarini) from Iran, Turkmenistan and some adjacent territories
FIGURE 13. Dendarus spp., aedeagus, ventrally. A = D. armeniacus; B = D. crenulatus; C = D. leonhardi; D = D. matthewsi sp. n.; E = the same, turned forward; F = D. transcaspicus; G = D. vagabundus.
FIGURE 11. Dendarus spp., male inner sternite VIII. A in Contribution to the knowledge of the genus Dendarus Dejean, 1821 (Coleoptera: Tenebrionidae: Blaptinae: Dendarini) from Iran, Turkmenistan and some adjacent territories
FIGURE 11. Dendarus spp., male inner sternite VIII. A = D. armeniacus; B = D. crenulatus; C = D. leonhardi; D = D. matthewsi sp. n.; E = D. transcaspicus; F = D. vagabundus. sVIII—inner sternite VIII, tVIII—inner tergite VIII, tIX—inner tergite IX.
FIGURE 10. Dendarus spp., male tergite VIII. A in Contribution to the knowledge of the genus Dendarus Dejean, 1821 (Coleoptera: Tenebrionidae: Blaptinae: Dendarini) from Iran, Turkmenistan and some adjacent territories
FIGURE 10. Dendarus spp., male tergite VIII. A = D. armeniacus; B = D. crenulatus; C = D. leonhardi; D = D. matthewsi sp. n.; E = D. transcaspicus; F = D. vagabundus.
FIGURE 1. Dendarus armeniacus, type specimens. A in Contribution to the knowledge of the genus Dendarus Dejean, 1821 (Coleoptera: Tenebrionidae: Blaptinae: Dendarini) from Iran, Turkmenistan and some adjacent territories
FIGURE 1. Dendarus armeniacus, type specimens. A = Lectotype, male, dorsally; B = ditto, ventrally; C = labels of the lectotype; D = type series; E = male mesotibia, ventrally; F = male mesotibia, laterally.
FIGURE 9. Dendarus spp., male protibia. A in Contribution to the knowledge of the genus Dendarus Dejean, 1821 (Coleoptera: Tenebrionidae: Blaptinae: Dendarini) from Iran, Turkmenistan and some adjacent territories
FIGURE 9. Dendarus spp., male protibia. A = D. armeniacus; B = D. crenulatus; C = D. leonhardi; D = D. simplex; E = D. matthewsi sp. n.; F = D. transcaspicus; G = D. vagabundus.
FIGURE 4. Dendarus spp., habitus. A–C in Contribution to the knowledge of the genus Dendarus Dejean, 1821 (Coleoptera: Tenebrionidae: Blaptinae: Dendarini) from Iran, Turkmenistan and some adjacent territories
FIGURE 4. Dendarus spp., habitus. A–C = D. matthewsi sp. n.; D–F = D. simplex (Turkey, Hakkary Prov., Berçelan Yayla); A, D = male, dorsally; B, E = male, ventrally; C, F = female, dorsally.
FIGURE 8. D. vagabundus, habitus. A in Contribution to the knowledge of the genus Dendarus Dejean, 1821 (Coleoptera: Tenebrionidae: Blaptinae: Dendarini) from Iran, Turkmenistan and some adjacent territories
FIGURE 8. D. vagabundus, habitus. A = male, dorsally (Iran, North Khorasan Province: Bojnurd); B = male, ventrally (Turkmenistan, Kopetdag); C = female, dorsally (Turkmenistan, Kopetdag); D = male, dorsally (Iran, Golestan Prov.: Khoshyeylag); F = female, dorsally (the same locality).
FIGURE 7 in Contribution to the knowledge of the genus Dendarus Dejean, 1821 (Coleoptera: Tenebrionidae: Blaptinae: Dendarini) from Iran, Turkmenistan and some adjacent territories
FIGURE 7. Dendarus vagabundus, male, holotype of D. vagans (junior homonym). A = habitus, laterally; B = habitus, dorsally; C = abdomen; D = dissected aedeagus and tergite VII; E = labels.
FIGURE 3. Dendarus leonhardi. A in Contribution to the knowledge of the genus Dendarus Dejean, 1821 (Coleoptera: Tenebrionidae: Blaptinae: Dendarini) from Iran, Turkmenistan and some adjacent territories
FIGURE 3. Dendarus leonhardi. A = lectotype, male, dorsally; B = ditto, ventrally; C = labels of the lectotype; D = lectotype, male, laterally; E = male (non-type), dorsally; F = female (non-type), dorsally.
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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.