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2,402 results for “East Asia”
Spatial and temporal heterogeneity in human mobility patterns in Holocene Southwest Asia and the East Mediterranean
<p>Koptekin et al. (2022) "<strong><em>Spatial and temporal heterogeneity in human mobility patterns in Holocene Southwest Asia and the East Mediterranean</em></strong>", Current Biology <a href="https://doi.org/10.1016/j.cub.2022.11.034">https://doi.org/10.1016/j.cub.2022.11.034</a></p>
Open database to support forensic investigation of disasters in South East Asia: FORINSEA v1.0
<p>Forensic investigation of disasters (FORIN) is a conceptual framework and research guide that focuses on the investigation of root causes of disaster risk and occurrence. Underlying the FORIN conceptual framework is the understanding that historical processes, operating asynchronously at different spatial and temporal scales, configure the specific circumstances in which disasters occur. An objective of FORIN research is to accumulate lessons and experience in a systematic way that can lead to improved choices in the future. FORINSEA aims to support this objective by providing an open database suitable to FORIN enquiries in South East Asia region. FORINSEA1.0 provides a comprehensive and coherent historical record of disasters, from 1945 until 2020, socio-economic policies and development of key infrastructure at the hydrological catchments of the Red River Delta in Vietnam and the Marikina river basin in the Philippines. The FORINSEA1.0 dataset allows researchers, for the first time, to explore and make use of geocoded data on major disasters affecting the two large and rapidly expanding cities of Hanoi and Metro Manila and their catchment areas.</p>
Model projection of the effect of climate change and fishing pressure on key species of the South East Asia Seas
<p>The dataset contain Projection from the Size-Spectra Bioclimatic Envelop Model (SS-DBEM), this work was part of the GCRF Blue communities Programme (www.blue-communities.org). The model provides distribution and abundance and/or biomass of fish and other species of commercial interest under climate change and fishing pressure. The model outputs are yearly abundance/biomass on a 0.5-by-0.5 degree grid, covering the period from 2000 to 2098. Further description of the model and relevant references are listed in the following file: Guide-fish-model-output-use.docx</p> <p>The model was run under two climate scenario: RCP4.5 and RCP8.5, with different combinations of fishing pressure expressed as the Maximum Sustainable Yield (MSY) for the following values: 0 (no fishing, climate change alone will cause variation in fish biomass), 1 (sustainable fishing), 2, 3 (overfishing), and, 4 (overfishing with destructive practice). The intent is not to reproduce current fishing level but to provide a range of scenarios with which the future of fisheries can be explored.</p> <p>We projected fish species that were identified as key in the South East Asia seas region by our regional partners.The full list is provided in document: Fish-list-modelguide.xlsx</p> <p>There are 4 zip files that contain the model outputs of in either abundance (number of fish) or biomass grams of fish) for the two climate scenario. For example Biomass-RCP45.zip will contain model outputs in biomass for projections under RCP4.5 and all MSY. within the zip files are .csv files of the outputs for each species under the 5 MSY (0 to 4), the individual file names identify the species (identified by a 6digit code), the output provided (abundance or biomass), the RCP (8.5 or 4.5), and the MSY (0, 1, 2, 3, or 4). For example the file labelled 600107-Abundance-rcp85-msy4.csv contains the outputs for species 600107 (Skipjack tuna, <em>Katsuwonnus pelamis</em>), as abundance, under RCP8.5 with MSY4. Headers indicate what is in each column (latitude, longitude and year).</p> <p> </p> <p>Note: some knowledge of Python, R, or a similar software is recommended to ensure easy of use.</p>
Dataset for "Adjoint Waveform Tomography for Crustal and Upper Mantle Structure the Middle East and Southwest Asia for Improved Waveform Simulations Using Openly Available Broadband Data"
<p>This dataset contains the MESWA (Middle East and Southwest Asia) seismic model and auxiliary data used in the creation of the model (Rodgers, 2023). MESWA is a three-dimensional model of the seismic properties of crust and upper mantle of the Middle East and Southwest Asia. The MESWA model is provided in NetCDF format (readable by for example, <em>xarray</em>, Hoyer & Hamman, <a href="https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021JB022930#jgrb55516-bib-0057">2017</a>) and HDF5 format for viewing with <em>ParaView</em> (Ahrens et al., <a href="https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021JB022930#jgrb55516-bib-0002">2005</a>) and interaction with <em>Salvus</em> (Afanasiev et al., <a href="https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021JB022930#jgrb55516-bib-0001">2019</a>). </p> <p> </p> <p>Also included are the earthquake source parameters for all 327 Global Centroid Moment Tensor events considered in this study in ASCII text format. Also included are lists of the selected 192 inversion events and 66 validation events in ASCII text format. Lastly, we include a list of all receivers used in the creation and validation of MESWA. This is a simple ASCII file with the event name and receiver name (composed of the network_code and station_code).</p> <p> </p> <p>The following table provides a listing of the files in the dataset:</p> <table> <tbody> <tr> <td> <p><strong>File</strong></p> </td> <td> <p><strong>Description</strong></p> </td> </tr> <tr> <td> <p>MESWA.nc</p> </td> <td> <p>MESWA model in NetCDF format</p> </td> </tr> <tr> <td> <p>MESWA.h5</p> </td> <td> <p>MESWA model in HDF5 format, used by Salvus</p> </td> </tr> <tr> <td> <p>MESWA.xmdf</p> </td> <td> <p>Auxiliary file for MESWA.h5, used to import model into Paraview</p> </td> </tr> <tr> <td> <p>events_project.csv</p> </td> <td> <p>Table of event source parameters for all 327 events considered in the project</p> </td> </tr> <tr> <td> <p>inversion_events_192.csv</p> </td> <td> <p>Table of 192 inversion events </p> <p>(ASCII comma separated value)</p> </td> </tr> <tr> <td> <p>validation_events_66.csv</p> </td> <td> <p>Table of 66 validation events </p> <p>(ASCII comma separated value)</p> </td> </tr> <tr> <td> <p>events_receivers_inversion.csv</p> </td> <td> <p>Table of waveform (event-receiver-channel) data used in the inversion (ASCII comma separated value)</p> </td> </tr> <tr> <td> <p>events_receivers_validation.csv</p> </td> <td> <p>Table of waveform (event-receiver-channel) data used in the validation (ASCII comma separated value)</p> </td> </tr> </tbody> </table> <p> </p> <p> </p> <p><strong>References</strong></p> <p>Afanasiev, M, C Boehm, M van Driel, L Krischer, M Rietmann, DA May, MG Knepley, and A Fichtner (2019). Modular and flexible spectral-element waveform modelling in two and three dimensions, <em>Geophys. J. Int.</em>, 216(3), 1675–1692, doi: 10.1093/gji/ggy469</p> <p> </p> <p>Ahrens, J., Geveci, B., & Law, C. (2005). Paraview: An end-user tool for large data visualization. <em>The Visualization Handbook</em>, 717(8). <a href="https://doi.org/10.1016/b978-012387582-2/50038-1">https://doi.org/10.1016/b978-012387582-2/50038-1</a></p> <p> </p> <p>Hoyer, S., & Hamman, J. (2017). Xarray: N-D labeled arrays and datasets in Python. <em>Journal of Open Research Software</em>, 5(1). <a href="https://doi.org/10.5334/jors.148">https://doi.org/10.5334/jors.148</a></p> <p> </p> <p>Rodgers, A. (2023). Adjoint Waveform Tomography for Crustal and Upper Mantle Structure the Middle East and Southwest Asia for Improved Waveform Simulations Using Openly Available Broadband Data, technical report, LLNL-TR- 851939.</p> <p> </p> <p><strong>Acknowledgements</strong></p> <p>This project was support by Lawrence Livermore National Laboratory’s Laboratory Directed Research and Development project 20-ERD-008 and the National Nuclear Security Administration. This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. LLNL-MI-852402</p> <p> </p>
FIG. 7 in A new species of Tungurictis Colbert, 1939 (Carnivora, Hyaenidae) from the middle Miocene of Junggar Basin, northwestern China and the early divergence of basal hyaenids in East Asia
FIG. 7. — Tungurictis small sp., IVPP V 11497, left dentary fragment with m1 and m2 alveolus. A, stereo photos of occlusal view; B, lingual view; C, buccal view. Scale bars: 10 mm.
FIG. 5 in A new species of Tungurictis Colbert, 1939 (Carnivora, Hyaenidae) from the middle Miocene of Junggar Basin, northwestern China and the early divergence of basal hyaenids in East Asia
FIG. 5. — Tungurictis peignei, n. sp., IVPP V 25222, holotype, right dentary with p2-m2 (A, stereo photos, occlusal view, C, lingual, and D, buccal views) and IVPP V 11493, left dentary with p2-m1 (B, stereo photos, occlusal view; E, lingual view; F, buccal views). Scale bars: 10 mm.
FIG. 4 in A new species of Tungurictis Colbert, 1939 (Carnivora, Hyaenidae) from the middle Miocene of Junggar Basin, northwestern China and the early divergence of basal hyaenids in East Asia
FIG. 4. — Tungurictis peignei, n. sp., IVPP V 25222, holotype, isolated right I3, mesial view (A), right upper canine, buccal view (B), left P1, and left maxilla with P3-4 (C, stereo photos of occlusal view; D, buccal view). Scale bar: 10 mm.
Indo-Aryan – a house divided? Evidence for the East-West Indo-Aryan divide and its significance for the study of northern South Asia - Supporting materials
<p>The dataset includes raw data and images and plots used for the paper ``Indo-Aryan – a house divided? Evidence for the East-West Indo-Aryan divide and its significance for the study of northern South Asia'' (Ivani et al., in press)</p>
Figure 10 in Redefinition of Nipponbathynella based on the four new species from East Asia (Crustacea: Bathynellacea: Parabathynellidae)
Figure 10. Nipponbathynella donggangensis sp. nov. (♀: holotype). (A) Pleotelson, uropod and furcal rami (lateral); (B) uropod (inner lateral); (C) pleotelson and furcal rami (dorsal). Scale bars = 0.05 mm.
Figure 12 in Redefinition of Nipponbathynella based on the four new species from East Asia (Crustacea: Bathynellacea: Parabathynellidae)
Figure 12. Nipponbathynella wanjuensis sp. nov. (♂: holotype). (A) Maxilla (dorsal); (B) thoracopod I (frontal); (C) left thoracopod II (frontal); (D) ornaments of right thoracopod II (frontal); (E) thoracopod III (frontal). Scale bars = 0.05 mm.
Figure 9 in Redefinition of Nipponbathynella based on the four new species from East Asia (Crustacea: Bathynellacea: Parabathynellidae)
Figure 9. Nipponbathynella donggangensis sp. nov. (♀: holotype. ♂: allotype). (A) Thoracopod VI ♀ (frontal); (B) thoracopod VII ♀ (frontal); (C) thoracopod VIII ♂ (lateral); (D) thoracopod VIII ♂ (ventral). Scale bars = 0.05 mm.
Figure 8 in Redefinition of Nipponbathynella based on the four new species from East Asia (Crustacea: Bathynellacea: Parabathynellidae)
Figure 8. Nipponbathynella donggangensis sp. nov. (♀: holotype). (A) Thoracopod III (frontal); (B) thoracopod IV (frontal); (C) thoracopod V (frontal); (D) thoracopod VIII (ventral). Scale bars = 0.05 mm.
Figure 17 in Redefinition of Nipponbathynella based on the four new species from East Asia (Crustacea: Bathynellacea: Parabathynellidae)
Figure 17. Nipponbathynella shigaensis sp. nov. (♂: holotype. ♀: allotype). (A) Thoracopod V ♂ (frontal); (B) thoracopod VI ♂ (frontal); (C) protopod of thoracopod VI ♀ (frontal); (D) thoracopod VII ♂ (frontal). Scale bar = 0.05 mm.
Figure 1 in Redefinition of Nipponbathynella based on the four new species from East Asia (Crustacea: Bathynellacea: Parabathynellidae)
Figure 1. Nipponbathynella leesookyungae sp. nov. (♂: holotype, ♀: allotype). (A) General habitus ♀; (B) antennule ♂ (dorsal); (C) antenna ♂ (dorsal); (D) labrum ♂ (ventral); (E) mandible ♂ (ventral); (F) maxillule ♂ (dorsal). Scale bars = 0.05 mm (unless otherwise specified).
Fig. 1 in The Unicorn exists! A remarkable new genus and species of Perilissini (Hymenoptera: Ichneumonidae) from South East Asia
Fig. 1. Gilen orientalis sp. nov., holotype ♀. A – lateral habitus; B – face; C – propodeum; D – tarsal claw; E – metasomal tergites dorsally.
Figs 1–17 in Selasia dembickyi sp. nov., the first member of Drilini (Coleoptera: Elateridae) from South East Asia, with the description of S. jenisi sp. nov. from Nepal
Figs 1–17. Habitus images of Selasia species. 1 – Selasia dembickyi sp. nov., dorsal view; 2 – S. dembickyi sp. nov., lateral view. 3 – S. jenisi sp. nov., dorsal view; 4 – S. jenisi sp. nov., lateral view. 5–6 – antenna (5 – S. dembickyi sp. nov.; 6 – S. jenisi sp. nov.). 7–8 – pronotum (7 – S. dembickyi sp. nov.; 8 – S. jenisi sp. nov.). 9–13 – Selasia dembickyi sp. nov.: 9 – abdominal sternite IX; 10 – abdominal tergite IX; 11 – abdominal tergite X; 12 – aedeagus, dorsal view; 13 – aedeagus, lateral view. 14–17 – Selasia jenisi sp. nov.: 14 – abdominal sternite IX; 15 – abdominal tergites IX–X; 16 – aedeagus, dorsal view; 17 – aedeagus, lateral view. Scale bars = 2.0 mm (Figs 1–4), 0.5 mm (Figs 5–9, 14–15), 0.2 mm (Figs 10–13, 16–17).
Figs 18–19 in Selasia dembickyi sp. nov., the first member of Drilini (Coleoptera: Elateridae) from South East Asia, with the description of S. jenisi sp. nov. from Nepal
Figs 18–19. Habitat of Selasia dembickyi sp. nov. in Pha Hom Pok Mt. in northern Thailand. Photos: L. Dembický.
Fig. 3 in The Unicorn exists! A remarkable new genus and species of Perilissini (Hymenoptera: Ichneumonidae) from South East Asia
Fig. 3. Gilen orientalis sp. nov. distribution and habitats. A – distribution; B – Malaise trap and habitat in Cat Tien National Park, 100 m.a.s.l. (Dong Nai, Vietnam), C. v. Achterberg ©; C – Malaise trap and habitat in Chu Yang Sin National Park, 740–900 m.a.s.l. (Dak Lak, Vietnam), C. v. Achterberg ©; D –Thung Salaeng Luang National Park of the type locality (Phitsanulok, Thailand), A. Giudici ©; E –, Ban Khoun Ngeun (Khammouane, Laos) E. Jendek©; F – habitat in Doi Chiangdao National Park (Chiang Mai, Thailand), A. Giudici ©.
Fig. 2 in The Unicorn exists! A remarkable new genus and species of Perilissini (Hymenoptera: Ichneumonidae) from South East Asia
Fig. 2. Gilen orientalis sp. nov., holotype ♀ (except E – paratype ♁). A – head laterally; B – head and mesosoma dorsally; C – mesopleuron; D – head ventrally with occipital carina joined hypostomal carina at base of mandible; E – distal sternites of male.
FIGURES 1 ‒ 6 in A survey of East Palaearctic Gnaphosidae (Araneae). 5. On Synaphosus from Central Asia
FIGURES 1 ‒ 6. Dorsal view of Synaphosus ovtsharenkoi sp. n. (1), S. mongolicus sp. n. (2), S. shmakovi sp. n. (3), S. palearcticus (4, from Tajikistan), S. saidovi sp. n. (5) and S. makhambetensis (6). 1 a, 4 a male; 1 b, 2 ‒ 3, 4 b, 5 ‒ 6 female. Scale = 0.5 mm.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.