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180 results for “western Asia”
Figure 8 from: Kasparek M (2018) Taxonomic revision proves Trachusa pubescens (Morawitz, 1872) sensu lato to be a complex of allopatric and sympatric species in South-Eastern Europe and Western Asia (Hymenoptera, Apoidea, Anthidiini). ZooKeys 764: 111-144. https://doi.org/10.3897/zookeys.764.24581
Figure 8 Dorsal view of the apex of the median projection of T7 in the five species of the Trachusa pubescens complex.
Figure 3 from: Kasparek M (2018) Taxonomic revision proves Trachusa pubescens (Morawitz, 1872) sensu lato to be a complex of allopatric and sympatric species in South-Eastern Europe and Western Asia (Hymenoptera, Apoidea, Anthidiini). ZooKeys 764: 111-144. https://doi.org/10.3897/zookeys.764.24581
Figure 3 Principal Component Analysis (PCA) of 26 morphometric characters (males) of those OUs of the Trachusa pubescens complex whose members are characterised by an emarginate clypeus and subacute lateral projections on T6.
Figure 6 from: Kasparek M (2018) Taxonomic revision proves Trachusa pubescens (Morawitz, 1872) sensu lato to be a complex of allopatric and sympatric species in South-Eastern Europe and Western Asia (Hymenoptera, Apoidea, Anthidiini). ZooKeys 764: 111-144. https://doi.org/10.3897/zookeys.764.24581
Figure 6 Comparison of the clypeus index (clypeus width / clypeus length) in males of the five species of the Trachusa pubescens complex. Abbreviations: bal = T. balcanica sp. n.; hak = T. hakkariensis sp. n.; max = T. maxima; pub = T. pubescens; ver = T. verhoeffi.
Figure 9 from: Meng S, Bößneck U (2018) Gastrocopta armigerella (Reinhardt, 1877) and Gastrocopta theeli (Westerlund, 1877) in western Tien Shan, Kyrgyzstan, and their further occurrence in Asia (Mollusca, Gastropoda, Pupilloidea). ZooKeys 807: 1-11. https://doi.org/10.3897/zookeys.807.29113
Figure 9 Original figure by Forcart (1935, p. 421), Gastrocoptaarmigerellamasendarensis from Meshhediser (northern Iran) in comparison with Gastrocoptatheeli, topotype (shell from type locality Yeniseysk), Senckenberg Museum.
Figure 1 from: Meng S, Bößneck U (2018) Gastrocopta armigerella (Reinhardt, 1877) and Gastrocopta theeli (Westerlund, 1877) in western Tien Shan, Kyrgyzstan, and their further occurrence in Asia (Mollusca, Gastropoda, Pupilloidea). ZooKeys 807: 1-11. https://doi.org/10.3897/zookeys.807.29113
Figure 1 Map with locations of Gastrocoptatheeli, armigerella and huttoniana in central Asia and adjacent territories; G.armigerella: 1 northern Iran, Babul River near Meshhediser, Mazenderan Province (Forcart 1935) 2 Kyrgyzstan, western Tien Shan, Kara Suu River near Dshany Dshol 3 northern Tajikistan, southern Hissar Mountains, Kafirnigan River near Dushanbe (Schileyko 1984).
Figures 6-8 from: Meng S, Bößneck U (2018) Gastrocopta armigerella (Reinhardt, 1877) and Gastrocopta theeli (Westerlund, 1877) in western Tien Shan, Kyrgyzstan, and their further occurrence in Asia (Mollusca, Gastropoda, Pupilloidea). ZooKeys 807: 1-11. https://doi.org/10.3897/zookeys.807.29113
Figures 6-8 Gastrocoptaarmigerella: western Tien Shan, Kara Suu River floodplain (drift material) near Dshany Dshol (Kyrgyzstan), fossil or sub-fossil (Holocene or Pleistocene).
Figures 2-5 from: Meng S, Bößneck U (2018) Gastrocopta armigerella (Reinhardt, 1877) and Gastrocopta theeli (Westerlund, 1877) in western Tien Shan, Kyrgyzstan, and their further occurrence in Asia (Mollusca, Gastropoda, Pupilloidea). ZooKeys 807: 1-11. https://doi.org/10.3897/zookeys.807.29113
Figures 2-5 Gastrocoptahuttoniana2 a–c Himalaya, Simikot (District Humla/ Province Karnali, western Nepal), leg. U. Bößneck, 2001; Gastrocoptatheeli3–5: 3 a–c western central Altay, southeastern Ongudai, (Russia) 4 a–c South Primorskij Kraj, south of Slawjanka, coast of Sea of Japan (Russia) 5 a western Tien Shan Mountains, Kara Suu River near Dshany Dshol (Kyrgyzstan).
FIGURE 4 in Salvia misella (Lamiaceae)-A new record for Asia from the southern Western Ghats of India
FIGURE 4. Distribution of Salvia misella in India.
Map 1 in A revision of the species of Pronomaea E of the Western Palaearctic region, including Middle Asia (Coleoptera: Staphylinidae: Aleocharinae: Pronomaeini)
Map 1: Distributions of Pronomaea rostrata ERICHSON (filled circles: examined records; open circles: selected plausible literature records by FAGEL (1969) and FAUVEL (1902)), P. sardoasardoa sp. n. (open squares), and P. sicula sp. n. (filled squares).
FIGURE 4 in Systematic status of Fejervarya (( Amphibia, Anura, Dicroglossidae) from South and SE Asia with the description of a new species from the Western Ghats of Peninsular India
FIGURE 4. Holotype of Fejervarya gomantaki sp. nov. (a) dorsal view. (b) ventral view
FIGURE 3 in Systematic status of Fejervarya (( Amphibia, Anura, Dicroglossidae) from South and SE Asia with the description of a new species from the Western Ghats of Peninsular India
FIGURE 3. Fejervarya gomantaki sp. nov. in life
FIGURE 5 in Systematic status of Fejervarya (( Amphibia, Anura, Dicroglossidae) from South and SE Asia with the description of a new species from the Western Ghats of Peninsular India
FIGURE 5. Fejervarya sahyadris and Fejervarya chilapata in life.
Southern Europe and Western Asia Marine Heat Waves (SEWA-MHWs): a dataset based on macroevents
<p>This repository contains the SEWA-MHWs dataset, which consists of daily fields of Marine heatwaves (MHWs) macroevents, daily fields of MHWs characteristics, and daily fields of relevant atmospheric variables over Southern Europe and Western Asia region. It contains also the codes to detect MHWs macroevents and their characteristics. The SEWA-MHWs dataset is derived from the European Space Agency (ESA) Climate Change Initiative (CCI) Sea Surface Temperature (SST) v2.1 dataset and it covers the 1981-2016 period. This dataset is presented and described in detail in the "Southern Europe and Western Asia Marine Heat Waves (SEWA-MHWs): a dataset based on macroevents" manuscript by Giulia Bonino, Simona Masina, Giuliano Galimberti, and Matteo Moretti submitted to Earth System Science Data journal (Bonino et al., 2022). </p> <p>This repository contains 3 compressed (*.zip) folders:</p> <p>A) MHWs: it contains daily fields of MHWs macroevents, daily fields of MHWs characteristics</p> <ol> <li>SEWA_labels.nc: daily fields of labels. Each unique label represents a macro event. </li> <li>SEWA_IndStart.nc: daily fields of MHWs index start.</li> <li>SEWA_IndPeak.nc: daily fields of MHWs index peak.</li> <li>SEWA_IndEND.nc: daily fields of MHWs index end.</li> <li>SEWA_Category.nc: daily fields of MHWs categories.</li> <li>SEWA_IntMAx.nc: daily fields of MHWs maximum intensity [°C].</li> <li>SEWA_IntMean.nc: daily fields of MHWs mean intensity [°C].</li> </ol> <p>B) CODES: Python notebooks to detect MHWs macroevents and their characteristics.</p> <ol> <li>MHWs_stl.ipynb to detect MHWs and their characteristics</li> <li>SEWA_LABEL.ipynb: to generate the MHWs macroevents</li> <li>MHWs_filter.ipynb: to filter out the smallest macroevents</li> <li>STL_MarineHeatwaves.py: it contains the function “detect_stl” to detect MHWs using STL method used in MHW_stl.ipynb. This function is a modification of the “detect” function in the marineHeatWaves package created by Eric Oliver (<a href="https://github.com/ecjoliver/marineHeatWaves">https://github.com/ecjoliver/marineHeatWaves</a>).</li> </ol> <p>C) ATM: daily mean fields of relevant atmospheric variables taken from ERA5 (Hersbach et al., 2020, freely available at https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview). These data are subsets of the ERA5 dataset, after minimal post-processing manipulation. The area extracted for these meteorological parameters is slightly bigger than the SEWA region, allowing the investigation of remote influences and/or responses of these variables in relationship with MHWs macroevents. The covered area is from 10°N to 70°N in latitude and from 50°W to 80°E in longitude. The covered period is 1981-2016.</p> <ol> <li>SEWA_T2.nc: daily mean fields of 2 meter temperature [K]. “2m temperature” is the native variable name in ERA5 dataset. Unlike ERA5 dataset the data are provided as daily mean.</li> <li>SEWA_LAT.nc: daily mean fields of surface latent heat flux [W/m<sup>2</sup>]. “Surface latent heat flux” is the native variable name in ERA5 dataset. Unlike ERA5 the data are provided as daily mean and in W/m<sup>2</sup> instead of J/m<sup>2</sup>.</li> <li>SEWA_SENS.nc: daily mean fields of surface sensible heat flux [W/m<sup>2</sup>]. “Surface sensible heat flux” is the native variable name in ERA5 dataset. Unlike ERA5 the data are provided as daily mean and in W/m<sup>2 </sup>instead of J/m<sup>2</sup>.</li> <li>SEWA_SLP.nc: daily mean fields of mean sea level pressure [Pa]. “Surface pressure” is the native variable name in ERA5 dataset. Unlike ERA5 the data are provided as daily mean.</li> <li>SEWA_WIND.nc: daily mean fields of 10 meter wind speed [m/s]. This variable is calculated from the wind components “10m u-component of wind” and “10m v-component of wind” of the ERA5 dataset. Unlike ERA5 the data are provided as daily mean.</li> <li>SEWA_SW.nc: daily mean fields of incoming solar radiation [W/m<sup>2</sup>]. “Surface solar radiation downwards” is the native variable name in ERA5 dataset. Unlike ERA5 the data are provided as daily mean and in W/m<sup>2</sup> instead of J/m<sup>2</sup>.</li> </ol> <p>REFERENCES:</p> <p>Bonino, G., Masina, S., Galimberti, G., & Moretti, M. (2022). Southern Europe and Western Asia marine heat waves (SEWA-MHWs): a dataset based on macro events. <em>Earth System Science Data Discussions</em>, 1-19.</p> <p>Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., et al.: The ERA5 global reanalysis, Quarterly Journal of the Royal Meteorological Society, 146, 1999–2049, 2020.</p>
FIGURE 2 in DNA barcoding confirms the validity of Anthidium melanopygum Friese, 1917 stat. nov. (Hymenoptera: Megachilidae) as a distinct species of Western Asia
FIGURE 2. Apical sternum (S6) of Anthidium melanopygum (left) and A. spiniventre (right).
Figure 12 from: Kasparek M (2018) Taxonomic revision proves Trachusa pubescens (Morawitz, 1872) sensu lato to be a complex of allopatric and sympatric species in South-Eastern Europe and Western Asia (Hymenoptera, Apoidea, Anthidiini). ZooKeys 764: 111-144. https://doi.org/10.3897/zookeys.764.24581
Figure 12 Males of the five species of the Trachusa pubescens complex in lateral view.
Figure 14 from: Kasparek M (2018) Taxonomic revision proves Trachusa pubescens (Morawitz, 1872) sensu lato to be a complex of allopatric and sympatric species in South-Eastern Europe and Western Asia (Hymenoptera, Apoidea, Anthidiini). ZooKeys 764: 111-144. https://doi.org/10.3897/zookeys.764.24581
Figure 14 Clypeus and mandibles of the males of the five species of the Trachusa pubescens complex.
Figure 13 from: Kasparek M (2018) Taxonomic revision proves Trachusa pubescens (Morawitz, 1872) sensu lato to be a complex of allopatric and sympatric species in South-Eastern Europe and Western Asia (Hymenoptera, Apoidea, Anthidiini). ZooKeys 764: 111-144. https://doi.org/10.3897/zookeys.764.24581
Figure 13 Trachusa balcanica sp. n., semi-melanistic individual from Greece.
FIGURE 1 in Riccia stenophylla Spruce (Ricciaceae: Marchantiophyta)-a new report for Asia from the Western Ghats of India
FIGURE 1. Distribution of Riccia stenophylla Spruce. ● Earlier records in the Neotropics. Present record for Asia from the Western Ghats of India.
FIGURE 5 in DNA barcoding confirms the validity of Anthidium melanopygum Friese, 1917 stat. nov. (Hymenoptera: Megachilidae) as a distinct species of Western Asia
FIGURE 5. Hidden sterna of Anthidium melanopygum (A, C) and A. spiniventre (B, D). A–B: S7; C–D: S8.
Northern Africa, Central and Western Asia Hub
Izmir Cancer Registry, the first population-based cancer registry in Turkey, became the second IARC Regional Hub for Cancer Registration within the GICR programme in October 2013. The Hub aims to build capacity for cancer registration in low- and middle-income countries within Northern Africa, Central and Western Asia.The Hub covers 29 countries and territories: Northern Africa (Algeria, Egypt, Libya, Morocco, Sudan, and Tunisia); Central Asia and Caucasus (Armenia, Azerbaijan, Georgia, Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan); and Western Asia (Bahrain, Cyprus, West Bank and Gaza Strip, Iraq, Israel, Jordan, Kuwait, Lebanon, Oman, Qatar, Saudi Arabia, Syrian Arab Republic , Turkey, United Arab Emirates, and Yemen). The cases reported here are under the age of 44.
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.