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9,029 results for “Asia”
54 Block--63k or 50k scale Maps of South Asia--additional 1--20240105
<p>98 new map files to add to the set of 63k/50k Maps of South Asia, Block 54.</p>
44 Block--63k or 50k scale Maps of South Asia--additional 1--20240105
<p>98 new map files to add to the set of 63k/50k Maps of South Asia, Block 44.</p>
57 Block--63k or 50k scale Maps of South Asia--additional 1--20240105
<p>97 new map files to add to the set of 63k/50k Maps of South Asia, Block 57.</p>
64 Block--63k or 50k scale Maps of South Asia--additional 1--20240105
<p>98 new map files to add to ythe set of 63k/50k Maps of South Asia, Block 64.</p>
ELITE land surface temperature: hourly seamless 0.02° LST over East Asia (2022.7-2022.12)
<p>The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (<a href="https://elite.bnu.edu.cn/">https://elite.bnu.edu.cn</a>).</p> <p>This dataset is the ELITE hourly seamless 0.02 ° LST dataset over East Asia (2016-2021). Firstly, the iTES algorithm is employed to retrieve the Himawari-8/AHI LST. Secondly, the CLDAS LST is corrected to eliminate its system deviation. Finally, the multi-scale Kalman filter is employed to fuse Himawari-8/AHI LST and the bias-corrected CLDAS LST to generate 0.02 ° hourly seamless LST. The in situ validation results show that the root mean square error (RMSE) of the seamless LST is about 3k. The temporal resolution and spatial resolution of this dataset are 1 hour and 0.02°, respectively.</p> <p>This is the seamless LST dataset in 2022.7-2022.12. Please <a href="../records/8260240"><strong><em>click here</em></strong></a> to download the ELITE LST product in 2021.</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: East Asia (0-60°N, 80°E-140°E)</li> <li>Temporal Coverage: 2022.7-2022.12</li> <li>Spatial Resolution: 0.02 °</li> <li>Temporal Resolution: one hour</li> <li>Data Format: Geotiff</li> <li>Scale: 0.01</li> </ul> <p><strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong></p> <ol> <li>Dong, S., Cheng, J., Shi, J., Shi, C., Sun, S., & Liu, W. (2022). A Data Fusion Method for Generating Hourly Seamless Land Surface Temperature from Himawari-8 AHI Data. Remote Sensing, 14, 5170</li> <li>Zhou, S., & Cheng, J. (2020). An Improved Temperature and Emissivity Separation Algorithm for the Advanced Himawari Imager. IEEE Transactions on Geoscience and Remote Sensing, 58(10), 7105-7124.</li> </ol> <p>If you have any questions, please contact Prof. Jie Cheng (Jie_Cheng@bnu.edu.cn).</p>
Data associated with "Deforestation-driven increases in shallow clouds are greatest in drier, low-aerosol regions of Southeast Asia"
<p>This .zip file contains the semi-processed data required to reproduce the figures in "Deforestation-driven increases in shallow clouds are greatest in drier, low-aerosol regions in Southeast Asia" (Leung, Grant, and van den Heever 2024; pre-print doi: 10.5194/egusphere-2023-1722). </p> <p>Inside the compressed folder are:</p> <ul> <li>base_forest_data.pq: parquet file (readable in Python, see associated code) containing the processed UMD Global Forest Cover and EC-JRC Global Surface Water data scaled to same ~1km resolution as MODIS grid</li> <li>matched_points/: directory containing parquet files of each deforestation event with cloud properties before and after deforestation, as well as mean cloud properties before/after deforestation for corresponding control pixels (see Supporting Information of above manuscript for full descriptions)</li> <li>deforest_effect/bootstrapped/: directory containing .csv files for points in Figures 2-4 of above manuscript</li> </ul>
FIGURES 8–13. Repetekiodes spp. Male genitalia and eighth segment. 8–10. R in Description of two new species of the genus Repetekiodes Amsel, 1961 (Lepidoptera: Pyralidae: Phycitinae) from Central Asia with faunal notes on the genus
FIGURES 8–13. Repetekiodes spp. Male genitalia and eighth segment. 8–10. R. serratalis sp. nov., paratype, Kazakhstan (prep. № 3395). 8. Genitalia (aedeagus removed). 9. Aedeagus. 10. Eighth segment. 11–13. R. turanella sp. nov., holotype (prep. № 3995). 11. Genitalia (aedeagus removed). 12. Aedeagus. 13. Eighth segment.
FIGURES 2–7. Repetekiodes spp. Adults. 2–4. R in Description of two new species of the genus Repetekiodes Amsel, 1961 (Lepidoptera: Pyralidae: Phycitinae) from Central Asia with faunal notes on the genus
FIGURES 2–7. Repetekiodes spp. Adults. 2–4. R. serratalis sp. nov. 2. Holotype, ♂, Kazakhstan. 3. Paratype, ♀, Kazakhstan. 4. Head laterally, paratype, ♂, Kazakhstan. 5–7. R. turanella sp. nov. 5. Paratype, ♂, Kazakhstan. 6. Paratype, ♀, Kazakhstan. 7. Head laterally, paratype, ♂, Kazakhstan.
FIGURE 1 in Description of two new species of the genus Repetekiodes Amsel, 1961 (Lepidoptera: Pyralidae: Phycitinae) from Central Asia with faunal notes on the genus
FIGURE 1. Neighbour Joining tree (K2P; constructed with MEGA11; COI 5'> 600 bp) including 12 sequences of Repetekiodes species, rooted with T. repetekella as outgroup. The scale bar represents 0.01 genetic difference.
FIGURES 14–15 in Description of two new species of the genus Repetekiodes Amsel, 1961 (Lepidoptera: Pyralidae: Phycitinae) from Central Asia with faunal notes on the genus
FIGURES 14–15. Repetekiodes spp. Female genitalia (paratypes, Kazakhstan). 14. R. serratalis sp. nov. (prep. № 3992). 15. R. turanella sp. nov. (prep. № 3999).
Figure 3 C in Guidance on the data server for MICS Asia
Figure 3 C-bacded karyotypes oS specimecs oS Nannospalax xantcodon Srom Gerede (1) acd Çamlıyayla (2) acd N. ecrenbergi Srom Fevzipaşa (3).
Figure 1 in Guidance on the data server for MICS Asia
Figure 1 Collecticg sites oS Nannospalax xantcodon (black square) acd N. ecrenbergi (black triangle) ic Turkey. The nufbeking of safpeing eocaeities cokkesponds to data in Tabee 1. The appkoxifate kanges of both species ake indicated aftek Kkyštufed and Vohkaeíd (2009).
Figure 2 in Guidance on the data server for MICS Asia
Figure 2 Stacdard karyotypes oS specimecs oS Nannospalax xantcodon Srom Gerede (1) acd Çamlıyayla (2) acd N. ecrenbergi Srom Fevzipaşa (3).
Figs 1019 in Two new genera and species of Euophryinae (Aranei:Salticidae) from SE Asia
Figs 1019: Saaristattus tropicus sp.n. (♂ holotype, ♀ paratype): 10 C male palp, ventral view; 11 C ditto, retrolateral view; 12 C tegulum, dorsal view; 13 C male chelicera, ventral view; 14 C epigyne, ventral view; 15 C spermathecae, dorsal view; 16 C diagrammatic course of the insemination ducts; 17 C female general appearance, dorsal view; 18 C male carapace, lateral view; 19C male general appearance, dorsal view. Scale lines: 0.1 mm (1015), 0.5 mm (1719). PƲc. 10̅19: Saaristattus tropicus sp.n. (♂ FƟƌƟŦƲƞ, ♀ ƞapaŦƲƞ): 10 O ƞaƌbƞa caMUa, cBƲƷy; 11 O ŦƟAEe, cƷaJƲ-cÕƟĸy; 12 O ŦeFyƌyM, cƷaJƲ; 13 O xeƌƲUepa caMUa, cBƲƷy; 14 O ƞƲFƲBa, cBƲƷy; 15 O cƞepMaŦeĸa, cƁepxy; 16 O cxeMa ƞpƟŦƟĸƟƁ cƞepMaŦeĸƲ; 17 O ƟÕƜƲŭ ƁƲJ caMĸƲ, cƁepxy; 18 O FƟƌƟƁƟFpyJb caMUa, cÕƟĸy; 19 O ƟÕƜƲŭ ƁƲJ caMUa, cƁepxy. MacmŦaÕ: 0,1 MM (10̅15), 0,5 MM (17̅19).
Figs 19 in Two new genera and species of Euophryinae (Aranei:Salticidae) from SE Asia
Figs 19: Aruattus agostii sp.n. (♂ holotype, ♀ paratype): 1 C male palp, ventral view; 2 C ditto, retrolateral view; 3 C female chelicera, ventral view; 4 C epigyne, ventral view; 5 C spermathecae, dorsal view; 6 C diagrammatic course of the insemination ducts; 7 C male general appearance, dorsal view; 8 C male face; 9 C male carapace, lateral view. Scale lines: 0.1 mm (15), 0.5 mm (79). PƲc. 1̅9: Aruattus agostii sp.n. (♂ FƟƌƟŦƲƞ, ♀ ƞapaŦƲƞ): 1 O ƞaƌbƞa caMUa, cBƲƷy; 2 O ŦƟAEe, cƷaJƲ-cÕƟĸy; 3 O xeƌƲUepa caMĸƲ, cBƲƷy; 4 O ƞƲFƲBa, cBƲƷy; 5 O cƞepMaŦeĸa, cƁepxy; 6 O cxeMa ƞpƟŦƟĸƟƁ cƞepMaŦeĸƲ; 7 O ƟÕƜƲŭ ƁƲJ caMUa, cƁepxy; 8 O ďeŭc caMUa; 9 O FƟƌƟƁƟFpyJb caMUa, cÕƟĸy. MacmŦaÕ: 0,1 MM (1̅5), 0,5 MM (7̅9).
Supporting datasets for the article Using rare event algorithms to understand the statistics and dynamics of extreme heatwave seasons in South Asia
<h3>Supporting datasets for the article<em><strong> Using rare event algorithms to understand the statistics and dynamics of extreme heatwave seasons in South Asia, </strong></em>submitted to <em>Environmental Research: Climate</em></h3> <p> </p> <p>The dataset contains all intermediate data used for the article. The raw outputs of the model may be available upon reasonable request to clement.lpr@gmail.com</p> <p>The climate model Plasim can be downloaded, together with its documentation, from the webpage of the « Theoretische Meteorologie » group at the University of Hamburg: <a href="https://www.mi.uni-hamburg.de/en/arbeitsgruppen/theoretische-meteorologie/modelle/plasim.html">https://www.mi.uni-hamburg.de/en/arbeitsgruppen/theoretische-meteorologie/modelle/plasim.html</a></p> <p>The three jupyter notebooks <a href="../api/records/10888194/draft/files/Figures_article_archive.ipynb/content" target="_blank" rel="noopener noreferrer">Figures_article_archive.ipynb</a>, <a href="../api/records/10888194/draft/files/Zg500_maps_article_archive.ipynb/content" target="_blank" rel="noopener noreferrer">Zg500_maps_article_archive.ipynb</a>, <a href="../api/records/10888194/draft/files/Correlation_maps_3days_ERA5_Plasim_archive.ipynb/content" target="_blank" rel="noopener noreferrer">Correlation_maps_3days_ERA5_Plasim_archive.ipynb</a> contain the analysis and code used to produce the figures in the article.</p> <p><strong><a href="../api/records/10888194/draft/files/pyscripts.tar/content" target="_blank" rel="noopener noreferrer">pyscripts.tar</a> </strong>contains 4 python utilities, <em>data_proceeding_module.py, plot_routines.py, subseasonal_stats_utilities.py, utilities_REA_analysis.py </em>that are imported by the notebooks.</p>
Soil requirements, genetic diversity and population history of the Juniperus sabina L. varieties in Europe and Asia
<p>Dataset comprises genotypes of 335 individuals of J. sabina. </p>
Figs 20–27 in The longicorn beetle tribe Cerambycini Latreille, 1802 (Coleoptera: Cerambycidae: Cerambycinae) in the fauna of Asia. 17. A new species of the genus Spinidymasius Miroshnikov, 2017 from Borneo, with the description of the female of S. huedepohli (Vives, 2005) and new synonymy
Figs 20–27. Spinidymasius spp., genitalia: 20, 22, 24, 26 — S. pseudohuedepohli sp.n. (20, 22, 24 — holotype, male; 26 — paratype, female); 21, 23, 25, 27 — S. huedepohli (21, 23, 25 — holotype, male; 27 — female); 20–21 — apical part of tegmen, ventral view; 22– 23 — apical part of penis, ventral view; 24–25 — apical part of male tergite 8, dorsal view; 26–27 — coxites and styles, dorsal view. Рис. 20–27. Spinidymasius spp., гениталии: 20, 22, 24, 26 — S. pseudohuedepohli sp.n. (20, 22, 24 — голотип, самец; 26 — паратип, самка); 21, 23, 25, 27 — S. huedepohli (21, 23, 25 — голотип, самец; 27 — самка); 20–21 — верШиннаЯ часть тегмена, сниЗу; 22– 23 — верШиннаЯ часть пениса, сниЗу; 24–25 — верШиннаЯ часть 8-го тергита самца, сверху; 26–27 — кокситы и стилусы, сверху.
Figs 1–7 in The longicorn beetle tribe Cerambycini Latreille, 1802 (Coleoptera: Cerambycidae: Cerambycinae) in the fauna of Asia. 17. A new species of the genus Spinidymasius Miroshnikov, 2017 from Borneo, with the description of the female of S. huedepohli (Vives, 2005) and new synonymy
Figs 1–7. Spinidymasius spp., habitus and labels: 1–2 — S. pseudohuedepohli sp.n.; 3–7 — S. huedepohli (4, 7 — photographs by Daniel Heffern); 1, 5–6 — holotypes; 2 — paratype; 1, 4–5 — males; 2–3, 7 — females. Рис. 1–7. Spinidymasius spp., обЩий вид и Этикетки: 1–2 — S. pseudohuedepohli sp.n.; 3–7 — S. huedepohli (4, 7 — фотографии Д. Хефферна); 1, 5–6 — голотипы; 2 — паратип; 1, 4–5 — самцы; 2–3, 7 — самки.
Figs 8–19 in The longicorn beetle tribe Cerambycini Latreille, 1802 (Coleoptera: Cerambycidae: Cerambycinae) in the fauna of Asia. 17. A new species of the genus Spinidymasius Miroshnikov, 2017 from Borneo, with the description of the female of S. huedepohli (Vives, 2005) and new synonymy
Figs 8–19. Spinidymasius spp.: 8, 10, 12, 14, 18 — S. pseudohuedepohli sp.n.; 9, 16–17 — S. ochraceovittatus; 11, 13, 15, 19 — S. huedepohli; 8–9, 12–13, 16, 18–19 — holotypes; 10, 14, 17 — paratypes; 8–9, 12–13, 16–19 — males; 10–11, 14–15 — females; 8, 10– 11 — habitus, ventral view; 9 — habitus, dorsal view; 12–17 — elytral apex; 18–19 — last (visible) abdominal sternite of male. Рис. 8–19. Spinidymasius spp.: 8, 10, 12, 14, 18 — S. pseudohuedepohli sp.n.; 9, 16–17 — S. ochraceovittatus; 11, 13, 15, 19 — S. huedepohli; 8–9, 12–13, 16, 18–19 — голотипы; 10, 14, 17 — паратипы; 8–9, 12–13, 16–19 — самцы; 10–11, 14–15 — самки; 8, 10– 11 — обЩий вид, сниЗу; 9 — обЩий вид, сверху; 12–17 — верШина надкрылий; 18–19 — последний (видимый) брЮШной стернит самца.
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.