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Two global ensemble M5.95+ seismicity models obtained from the combination of interseismic strain rates and earthquake-catalogue data
<p>Contains two global earthquake-rate forecasts developed by Bayona et al. (2021) to be prospectively evaluated by the Collaboratory for the Study of Earthquake Predictability (CSEP). The Tectonic Earthquake Activity Model (TEAM) is a geodetic-based model using Version 2.1 of the Global Strain Rate Map (GSRM2.1; Kreemer et al., 2014), while the World Hybrid Earthquake Estimates based on Likelihood scores (WHEEL) is a model obtained from a multiplicative log-linear combination of TEAM with the Smoothed Seismicity (KJSS) model of Kagan and Jackson (2011).</p> <p>Earthquake densities are expressed as number of M5.95+ events per unit 0.1<sup>o</sup> cell per year. The forecasts are stored in tab separated value files, with the following fields (the first row of data is shown as an example):</p> <table> <tbody> <tr> <td><sub>lon_min</sub></td> <td><sub>lon_max</sub></td> <td><sub>lat_min</sub></td> <td><sub>lat_max</sub></td> <td><sub>depth_min</sub></td> <td><sub>depth_max</sub></td> <td><sub>5.95</sub></td> <td><sub>6.05</sub></td> <td>...</td> </tr> <tr> <td><sub>-180.0</sub></td> <td><sub>-179.9</sub></td> <td><sub>-90.0</sub></td> <td><sub>-89.9</sub></td> <td><sub>0.0</sub></td> <td><sub>70.0</sub></td> <td><sub>4.95e-11</sub></td> <td><sub>3.97e-11</sub></td> <td>...</td> </tr> </tbody> </table> <p>Data and forecasts are described in detail in the following publications:</p> <p>Bayona, J.A., Savran, W., Strader, A., Hainzl, S., Cotton, F. and Schorlemmer, D., 2021. Two global ensemble seismicity models obtained from the combination of interseismic strain measurements and earthquake-catalogue information. <em>Geophysical Journal International</em>, <em>224</em>(3), pp.1945-1955.</p> <p>Kreemer, C., Blewitt, G. and Klein, E.C., 2014. A geodetic plate motion and Global Strain Rate Model. <em>Geochemistry, Geophysics, Geosystems</em>, <em>15</em>(10), pp.3849-3889.</p> <p>Kagan, Y.Y. and Jackson, D.D., 2011. Global earthquake forecasts. <em>Geophysical Journal International</em>, <em>184</em>(2), pp.759-776.</p>
Figs 21–25. 21–23 in Description of two new species of the genus Chlorogomphus Selys, 1854 (Odonata: Chlorogomphidae) and a new record of Chlorogomphus gracilis Wilson & Reels, 2001 from the Central Highlands of Vietnam
Figs 21–25. 21–23. Right wings of species of Chlorogomphus Selys, 1854, ♀♀. 21. C. hoaian sp. nov. (ZCDTU 2019042003-ODO). 22. C. aritai Karube, 2013 (ZCDTU 2021061901). 23. C. caloptera Karube, 2013 (ZCDTU 2016042201-ODO). 24. Head of C. hoaian sp. nov., holotype, ♂ (ZCDTU 2019042001-ODO). 25. Head of C. hoaian sp. nov., paratype, ♀ (ZCDTU 2019042003-ODO). 24–25 not to scale.
Figs 1–2 in Description of two new species of the genus Chlorogomphus Selys, 1854 (Odonata: Chlorogomphidae) and a new record of Chlorogomphus gracilis Wilson & Reels, 2001 from the Central Highlands of Vietnam
Figs 1–2. Habitus of Chlorogomphus hoaian sp. nov. 1. Holotype, ♂ (ZCDTU 2019042001-ODO). 2. Paratype, ♀ (ZCDTU 2019042003-ODO).
Figs 12–20 in Description of two new species of the genus Chlorogomphus Selys, 1854 (Odonata: Chlorogomphidae) and a new record of Chlorogomphus gracilis Wilson & Reels, 2001 from the Central Highlands of Vietnam
Figs 12–20. Anal appendages of species of Chlorogomphus Selys, 1854, ♂♂. 12–14. C. hoaian sp. nov., holotype (ZCDTU 2019042003-ODO). 15–17. C. fraseri St. Quentin, 1936 (KPMNH Khasi01-ODO). 18–21. C. aritai Karube, 2013 (ZCDTU 2017061901-ODO). 12, 15, 18. Anal appendages in lateral view. 13, 16, 19. Anal appendages in dorsal view. 14, 17, 20. Epiproct in ventral view. Images not to scale.
Figs 37–42 in Description of two new species of the genus Chlorogomphus Selys, 1854 (Odonata: Chlorogomphidae) and a new record of Chlorogomphus gracilis Wilson & Reels, 2001 from the Central Highlands of Vietnam
Figs 37–42. Anal appendages of species of Chlorogomphus Selys, 1854, ♂♂. 37–38. C. vani sp. nov., holotype (ZCDTU 2021042001-ODO). 39–40. C. auratus Martin, 1910 (rearranged from Kompier & Karube 2018: fig. 2a–b). 41–42. C. canhvang Kompier & Karube, 2018 (rearranged from Kompier & Karube 2018: fig. 2e–f). 37, 39, 41. Anal appendages in lateral view. 38, 40, 42. Anal appendages in dorsal view. Images not to scale.
Fig. 5 in Two new remarkable and endangered catfish species of the genus Cambeva (Siluriformes, Trichomycteridae) from southern Brazil
Fig. 5. Cambeva betabelardense sp. nov., holotype (UFRJ 6995), 42.7 mm SL. A. Left lateral view. B. Dorsal view. C. Ventral view.
Fig. 3 in Two new remarkable and endangered catfish species of the genus Cambeva (Siluriformes, Trichomycteridae) from southern Brazil
Fig. 3. Map of geographical distribution of Cambeva alphabelardense sp. nov. and C. betabelardense sp. nov.
Fig. 1 in Two new remarkable and endangered catfish species of the genus Cambeva (Siluriformes, Trichomycteridae) from southern Brazil
Fig. 1. Cambeva alphabelardense sp. nov., holotype (UFRJ 6990), 43.4 mm SL. A. Left lateral view. B. Dorsal view. C. Ventral view.
Fig. 7 in Two new Cyrtodactylus (Squamata, Gekkonidae) from Northeast India
Fig. 7. Microhabitats showing the collection sites of our newly described species of Cyrtodactylus from Northeast India. A. Collection site of Cyrtodactylus exercitus sp. nov. in Umroi military cantonment area, Ri-Bhoi district, Meghalaya state. B–D. Collection sites of C. siahaensis sp. nov. in Siaha town, Siaha district, Mizoram state.
Fig. 3 in Two new Cyrtodactylus (Squamata, Gekkonidae) from Northeast India
Fig. 3. Cyrtodactylus exercitus sp. nov. in life (A. MZMU2542. B. MZMU2543. C. MZMU2545); Cyrtodactylus siahaensis sp. nov. in life (D. MZMU2443.E. MZMU2444.F. MZMU2445.G. MZMU2446. H. MZMU2449. I. uncollected).
Fig. 2. Osteological structures. A–C in Two new remarkable and endangered catfish species of the genus Cambeva (Siluriformes, Trichomycteridae) from southern Brazil
Fig. 2. Osteological structures. A–C. Cambeva alphabelardense sp. nov., paratype (UFRJ 6993). D–F. Cambeva betabelardense sp. nov., paratype (UFRJ 6996). A, D. Mesethmoidal region and adjacent structures, left and middle portions, dorsal view. B, E. Left jaw suspensorium and opercular series, lateral view. C, F. Parurohyal, ventral view. Abbreviations of structures indicated by arrows are: amp = anteroventral metapterygoid process; doe = dorsal opercular expansion; iap = anterior projection of interopercle. Heavier stippling represents cartilaginous areas. Scale bar: 1 mm.
Fig. 8 in Two new Cyrtodactylus (Squamata, Gekkonidae) from Northeast India
Fig. 8. Cyrtodactylus siahaensis sp. nov., holotype (MZMU2445). A. Dorsal view. B. Ventral view. C. Details of dorsal pholidosis. D. Dorsal view of head. E. Lateral view of head. F. Ventral view of head.
Fig. 4 in Two new Cyrtodactylus (Squamata, Gekkonidae) from Northeast India
Fig. 4. Cyrtodactylus exercitus sp. nov., holotype (MZMU2542). A. Dorsal view. B.Ventral view. C. Details of dorsal pholidosis. D. Dorsal view of head. E. Lateral view of head. F. Ventral view of head.
Fig. 5 in Two new Cyrtodactylus (Squamata, Gekkonidae) from Northeast India
Fig. 5. The arrangement of precloacal pores in A. Cyrtodactylus exercitus sp. nov., holotype (MZMU2542) B. Cyrtodactylus siahaensis sp. nov (MZMU2445).
Fig. 2 in Two new Cyrtodactylus (Squamata, Gekkonidae) from Northeast India
Fig. 2. Maximum Likelihood phylogeny of the Cyrtodactylus khasiensis group; numbers at nodes represent bootstrap support (preceding the species name is the NCBI accession number).
Fig. 1 in Two new Cyrtodactylus (Squamata, Gekkonidae) from Northeast India
Fig. 1. Elevation map showing the type localities for the two newly described species of Cyrtodactylus and the congeners compared in this paper: 1. Cyrtodactylus exercitus sp. nov. (red star). 2. C. siahaensis sp. nov. (blue star). 3. C. bengkhuaiai Purkayastha, Lalremsanga, Bohra, Biakzuala, Decemson, Muansanga, Vabeiryureilai, Chauhan & Rathee, 2021. 4. C. aaronbaueri Purkayastha, Lalremsanga, Bohra, Biakzuala, Decemson, Muansanga, Vabeiryureilai, Chauhan & Rathee, 2021. 5. C. karsticola Purkayastha, Lalremsanga, Bohra, Biakzuala, Decemson, Muansanga, Vabeiryureilai, Chauhan & Rathee, 2021. 6. C. agarwali Purkayastha, Lalremsanga, Bohra, Biakzuala, Decemson, Muansanga, Vabeiryureilai, Chauhan & Rathee, 2021. 7. C. montanus Agarwal, Mahony, Giri, Chaitanya & Bauer, 2018. 8. C. tripuraensis Agarwal, Mahony, Giri, Chaitanya & Bauer, 2018. 9. C. khasiensis (Jerdon, 1870). 10. C. jaintiaensis Agarwal, Mahony, Giri, Chaitanya & Bauer, 2018. 11. C. guwahatiensis Agarwal, Mahony, Giri, Chaitanya & Bauer, 2018. 12. C. urbanus Purkayastha, Das, Bohra, Bauer & Agarwal, 2020. 13. C. septentrionalis Agarwal, Mahony, Giri, Chaitanya & Bauer, 2018. 14. C. kazirangaensis Agarwal, Mahony, Giri, Chaitanya & Bauer, 2018. 15. C. nagalandensis Agarwal, Mahony, Giri, Chaitanya & Bauer, 2018. 16. C. arunachalensis Mirza, Bhosale, Ansari, Phansalkar, Swant, Gowande & Patel, 2021. 17. C. markuscombaii (Darevsky, Helfenberger, Orlov & Shah, 1998) and C. martinstolli Darevsky, Helfenberger, Orlov & Shah, 1998). 18. C. himalayicus (Annandale, 1906). 19. C. cayuensis Li, 2007. 20. C. tamaiensis (Smith, 1940). 21. C. ayeyarwadyensis Bauer, 2003. 22. C. mandalayensis Mahony, 2009.
Sustainable Smart Tags with Two-Step Verification for Anticounterfeiting Triggered by the Photothermal Response of Upconverting Nanoparticles
<p>Dataset accompanying figures published in the publication DOI: https://doi.org/10.5281/zenodo.6245930</p>
Fig. 1 in Two new genera of Sapindaceae (Cupanieae) from the southern Pacific: Lepidocupania and Neoarytera
Fig. 1. – MrBayes Bayesian halfcompat consensus tree inferred from eight nuclear and plastid DNA regions adapted from BUERKI et al. (2012) showing relationships within the Cupania group. Bayesian posterior probability (BPP) support values are indicated. Shades of grey highlight the polyphyly of Arytera Blume and Cupaniopsis Radlk.
Environmental drivers of biseasonal anthrax outbreak dynamics in two multi-host savanna systems
<p>Environmental factors are common forces driving infectious disease dynamics. We compared inter-annual and seasonal patterns of anthrax infections in two multi-host systems in southern Africa: Etosha National Park, Namibia, and Kruger National Park, South Africa. Using several decades of mortality data from each system, we assessed possible transmission mechanisms behind anthrax dynamics, examining 1) within- and between-species case correlations, and 2) associations between anthrax mortalities and environmental factors, specifically rainfall and the Normalized Difference Vegetation Index (NDVI). Anthrax cases in Kruger had wide inter-annual variation in case numbers, and large outbreaks seemed to follow roughly a decadal cycle. In contrast, outbreaks in Etosha were smaller in magnitude and occurred annually. In Etosha, the host species commonly affected remained consistent over several decades, although plains zebra (<em>Equus quagga</em>) became relatively more dominant. In Kruger, turnover of the main host species occurred after the 1990s, where the previously dominant host species, greater kudu (<em>Tragelaphus strepsiceros</em>), was replaced by impala (<em>Aepyceros melampus</em>). In both parks, anthrax infections showed two seasonal peaks, with each species having only one peak in a year. Zebra, springbok (<em>Antidorcas marsupialis</em>), wildebeest (<em>Connochaetes taurinus</em>) and impala cases peaked in wet seasons, while elephant (<em>Loxodonta africana</em>), kudu and buffalo (<em>Syncerus caffer</em>) cases peaked in dry seasons. For common host species shared between the two parks, anthrax mortalities peaked in the same season in both systems. Among host species with cases peaking in the same season, anthrax mortalities were mostly synchronized, which may imply similar transmission mechanisms or shared sources of exposure. Between seasons, outbreaks in one species may contribute to more cases in another species in the following season. Higher vegetation greenness was associated with more zebra and springbok anthrax mortalities in Etosha, but fewer elephant cases in Kruger. These results suggest that host behavioral responses to changing environmental conditions may affect anthrax transmission risk, with differences in transmission mechanisms leading to multi-host biseasonal outbreaks. This study reveals the dynamics and potential environmental drivers of anthrax in two savanna systems, providing a better understanding of factors driving biseasonal dynamics and outbreak variation among locations.</p>
Two dimensional materials for photonic devices
<p>Video-presentation with the summary of the two dimensional materials for photonic devices project.</p> <p>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 840064</p>
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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.