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1,695 results for “South Asia”
Monsoon low-pressure-system tracks over South Asia (1979-2019)
<p>Monsoon LPS tracks over South Asia, computed using ERA-Interim reanalysis data.<br> Tracking algorithm described in Hunt and Fletcher (2018) [doi:10.1007/s00382-019-04744-x] and Hunt <em>et al.</em> (2016) [doi:10.1175/MWR-D-15-0138.1].<br> <br> Description of fields:<br> <em>point_id</em>: unique integer identifier for each point<br> <em>time</em>: string with format DD/MM/YY HH:MM, denoting time of detected track point<br> <em>lon</em>: longitude of detected track point<br> <em>lat</em>: latitude of detected track point<br> <em>track_id</em>: unique integer identifier for each track (constituting a group of points)<br> <em>vort</em>: relative vorticity at 850 hPa for the given point (units: s<sup>-1</sup>)<br> <em>circulation</em>: vorticity integrated over the blob of positive vorticity containing the track point (units: arb)<br> <em>eccentricity</em>: eccentricity of the vorticity blob containing the track point<br> <em>category</em>: integer from 0-6 denoting the category of the LPS at the given point, approximately matching IMD criteria. 0: low-pressure area, 1: deep low-pressure area, 2: depression, 3: deep depression, 4: cyclonic storm, 5: severe cyclonic storm, 6: very severe cyclonic storm (and above).</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>
Regional model results (combined) for the six transition potentials (one for Africa, Australia, Asia, Europe, North America, and South America)
<p>Results for the six regional models showing areas of high potential to transition from tree cover to tree cover loss to areas of low potential to transition.</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>
Tracks of western disturbances (1950-2022) impacting South Asia
<p>WDs are identified using the feature-tracking algorithm described in Hunt et al (2018). Relative vorticity is averaged across the 450-300 hPa layer, and then spectrally truncated to T42 to remove high-frequency noise that hinders tracking. For each region of positive vorticity, the centroid is located and labelled as a candidate WD. These centroids are connected between timesteps using a nearest-neighbour algorithm, biased to take into account the steering winds of the subtropical jet. Systems that do not on average travel eastward, last fewer than 48 hours, or do not pass through the box [20-42.5°N, 60-80°E] are rejected.<br> Applied to ERA5, this gives over seventy years of track data (1950-2022). The method followed here is identical to Nischal et al (2022), except the northern edge of the catching box is extended from 36.5°N to 42.5°N, to ensure that all WDs that potentially impact North India are included.<br> <br> Column titles are:<br> <strong>timestep</strong>: a counter indicating the number of 3-hourly timesteps that have passed since 1950-01-01 00:00<br> <strong>track_id</strong>: a unique identifier linking points into tracks<br> <strong>time</strong>: string describing the date and time<br> <strong>lon</strong>: longitude<br> <strong>lat</strong>: latitude<br> <strong>vort</strong>: vorticity measured at the centre of the WD averaged over the 450-300 hPa layer. Can be used for intensity filtering.<br> <strong>eccentricity</strong>: eccentricity of the region of positive vorticity. Can be used to understand local dynamics.<br> <br> <br> <br> Hunt, K. M. R., Turner, A. G., & Shaffrey, L. C. (2018). The evolution, seasonality and impacts of western disturbances. <em>Quarterly Journal of the Royal Meteorological Society</em>, <em>144</em>(710), 278-290.<br> <br> Nischal, Attada, R., & Hunt, K. M. (2022). Evaluating winter precipitation over the western Himalayas in a high-resolution Indian regional reanalysis using multisource climate datasets. <em>Journal of Applied Meteorology and Climatology</em>, <em>61</em>(11), 1613-1633.</p>
cldf-datasets/petersonsouthasia: CLDF data for Peterson 2017, Towards a linguistic prehistory of eastern-central South Asia
<p>Cite the CLDF data as</p> <p>Cite the source dataset as</p> <blockquote> <p>Peterson, J. (2017). Fitting the pieces together – Towards a linguistic prehistory of eastern-central South Asia (and beyond). Journal of South Asian Languages and Linguistics, 4(2), pp. 211-257. doi:10.1515/jsall-2017-0008</p> </blockquote>
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>
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.
Data on digital perfomance of public sector in South-East Asia
<p>Data on digital perfomance of public sector in South-East Asia includes variables affecting process of digitalization in public sector in South-East Asian countries. </p>
Fig. 44 in Further additions to the knowledge of Strumigenys (Formicidae: Myrmicinae) within South East Asia, with the descriptions of 20 new species
Fig. 44. Type specimens of Strumigenys zhenghuii sp. nov. A, C–D. Holotype worker (ANTWEB 1010905). B. Paratype worker (ANTWEB1010906). A. Full-face view. B. Mesosoma close-up in profile view. C. Profile view. D. Dorsal view.
Fig. 42 in Further additions to the knowledge of Strumigenys (Formicidae: Myrmicinae) within South East Asia, with the descriptions of 20 new species
Fig. 42. Holotype worker (ANTWEB1011885) of Strumigenys zanderi sp. nov. A. Full-face view. B. Profile view. C. Dorsal view.
Fig. 37 in Further additions to the knowledge of Strumigenys (Formicidae: Myrmicinae) within South East Asia, with the descriptions of 20 new species
Fig. 37. Holotype worker (ANTWEB1011923) of Strumigenys scutica sp. nov. A. Full-face view. B. Profile view. C. Dorsal view.
Fig. 36 in Further additions to the knowledge of Strumigenys (Formicidae: Myrmicinae) within South East Asia, with the descriptions of 20 new species
Fig. 36. Holotype worker (ANTWEB1010903) of Strumigenys rongi sp. nov. A. Full-face view. B. Profile view. C. Dorsal view.
Fig. 40 in Further additions to the knowledge of Strumigenys (Formicidae: Myrmicinae) within South East Asia, with the descriptions of 20 new species
Fig. 40. Holotype worker (ANTWEB1011877) of Strumigenys xenopilus sp. nov. A. Full-face view. B. Gaster close-up in dorsal view. C. Gaster close-up in ventral view. D. Profile view. E. Dorsal view.
Fig. 28 in Further additions to the knowledge of Strumigenys (Formicidae: Myrmicinae) within South East Asia, with the descriptions of 20 new species
Fig. 28. Holotype worker (ANTWEB1011950) of Strumigenys longidens sp. nov. A. Full-face view. B. Mandible close-up. C. Mandible close-up in anterior view. D. Profile view. E. Dorsal view.
Fig. 25 in Further additions to the knowledge of Strumigenys (Formicidae: Myrmicinae) within South East Asia, with the descriptions of 20 new species
Fig. 25. Worker of Strumigenys intermedia sp. nov. from Hainan, mainland China (HNA-00188). A. Full-face view. B. Profile view. C. Dorsal view.
ScienceDex guides
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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.