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Figs. 10-16 in Taxonomic Review of Zavreliella Kieffer from East Asia
Figs. 10-16. Zavreliella shidai sp. n., pupa. 10 frontal apotome, with details of cephalic tubercles in upper corners 11 thoracic horn 12 thorax 13 details of basal ring 14 tergites 15 anal comb of VIII 16 anal lobe, showing male sac.
A Dataset for Violence Trends in the Ancient Middle East between 12,000 and 400 BCE
<p>Thsi archive provides all data generated and analysed and the custom codes produced for the study which will be published in <em>Nature Human Behaviour</em> with the title "<strong>Violence Trends in the Ancient Middle East between 12,000 and 400 BCE</strong>"<strong>. </strong>In this paper we study violence trends in the very long run by exploiting a novel dataset on cranial trauma and weapon-related wounds from skeletons excavated across the Middle East, spanning the whole pre-Classical period (ca. 12,000-400 BCE). The data set includes more than 3,500 individuals. These data have been collected from existing online digital archives, electronic and print original publications, and from unpublished field reports. </p>
Рис. 6–11. ГенитаΛьные структуры самцов роΔа Celypha. 6 – C. laminaria sp. n.; 7 – C. capreolana; 8 – C. rurestrana; 9 – C. anatoliana; 10 – C. confictana; 11 – C. striana. 6 – генитаΛии (Λевая ваΛьва не изображена); 7–11 – ваΛьвы. Масштабная Λинейка 1 мм. Figs 6–11. Male genital structure of the genus Celypha. 6 – C. laminaria sp. n.; 7 – C. capreolana; 8 – C. rurestrana; 9 – C. anatoliana; 10 – C. confictana; 11 – C. striana. 6 – genitalia (left valve is not shown); 7–11 – valves. Scale bar 1 mm. in Two new species of leaf-rollers (Lepidoptera: Tortricidae) from the East Caucasus
Рис. 6–11. ГенитаΛьные структуры самцов роΔа Celypha. 6 – C. laminaria sp. n.; 7 – C. capreolana; 8 – C. rurestrana; 9 – C. anatoliana; 10 – C. confictana; 11 – C. striana. 6 – генитаΛии (Λевая ваΛьва не изображена); 7–11 – ваΛьвы. Масштабная Λинейка 1 мм. Figs 6–11. Male genital structure of the genus Celypha. 6 – C. laminaria sp. n.; 7 – C. capreolana; 8 – C. rurestrana; 9 – C. anatoliana; 10 – C. confictana; 11 – C. striana. 6 – genitalia (left valve is not shown); 7–11 – valves. Scale bar 1 mm.
Рис. 1–5. Новые виΔы Λистоверток, самцы, общий виΔ и генитаΛии. 1, 3–5 – Phtheochroa tabasarana sp. n.; 2 – Celypha laminaria sp. n. 1–2 – гоΛотип, габитус; 3–5 – генитаΛии: 3 – эΔеагус, 4 – генитаΛии, эΔеагус извΛечен, 5 – генитаΛии, ΛатераΛьно. Масштабная Λинейка ΔΛя рисунков 3–5 – 1 мм. Figs 1–5. New species of leaf-rollers, males, general view and genitalia. 1, 3–5 – Phtheochroa tabasarana sp. n.; 2 – Celypha laminaria sp. n. 1–2 – holotype, habitus; 3–5 – genitalia: 3 – aedeagus, 4 – genitalia, aedeagus extracted, 5 – genitalia laterally. Scale bar for Figs 3–5 – 1 mm. in Two new species of leaf-rollers (Lepidoptera: Tortricidae) from the East Caucasus
Рис. 1–5. Новые виΔы Λистоверток, самцы, общий виΔ и генитаΛии. 1, 3–5 – Phtheochroa tabasarana sp. n.; 2 – Celypha laminaria sp. n. 1–2 – гоΛотип, габитус; 3–5 – генитаΛии: 3 – эΔеагус, 4 – генитаΛии, эΔеагус извΛечен, 5 – генитаΛии, ΛатераΛьно. Масштабная Λинейка ΔΛя рисунков 3–5 – 1 мм. Figs 1–5. New species of leaf-rollers, males, general view and genitalia. 1, 3–5 – Phtheochroa tabasarana sp. n.; 2 – Celypha laminaria sp. n. 1–2 – holotype, habitus; 3–5 – genitalia: 3 – aedeagus, 4 – genitalia, aedeagus extracted, 5 – genitalia laterally. Scale bar for Figs 3–5 – 1 mm.
Рис. 12–13. Биотопы новых виΔов Λистоверток. 12 – биотоп Phtheochroa tabasarana sp. n., степной скΛон к югу от с. Сиртыч, 7.05.2022; 13 – биотоп Celypha laminaria sp. n., горный скΛон к запаΔу от с. Àатуна, 8.06.2022. Figs 12–13. Habitats of new species of leaf-rollers. 12 – habitat of Phtheochroa tabasarana sp. n., stepped slope south of Sirtych village, 7.05V.2022; 13 – habitat of Celypha laminaria sp. n., mountain slope west of Datuna village, 8.06.2022. in Two new species of leaf-rollers (Lepidoptera: Tortricidae) from the East Caucasus
Рис. 12–13. Биотопы новых виΔов Λистоверток. 12 – биотоп Phtheochroa tabasarana sp. n., степной скΛон к югу от с. Сиртыч, 7.05.2022; 13 – биотоп Celypha laminaria sp. n., горный скΛон к запаΔу от с. Àатуна, 8.06.2022. Figs 12–13. Habitats of new species of leaf-rollers. 12 – habitat of Phtheochroa tabasarana sp. n., stepped slope south of Sirtych village, 7.05V.2022; 13 – habitat of Celypha laminaria sp. n., mountain slope west of Datuna village, 8.06.2022.
Рис. 1–8. КопуΛятивные органы Zelotes abdurakhmanovi sp. n. (1–6) и Zelotes mikhailovi (7–8). 1–2, 7 – эпигина, вентраΛьно; 3–6, 8 – паΛьпа и буΛьбус самцов: 3 – паΛьпа, вентраΛьно (MA – меΔиаΛьный отросток, E – эмбоΛюс, TA – терминаΛьный отросток), 4 – паΛьпа, ретроΛатераΛьно, 5 – апикаΛьная часть буΛьбуса, ΔорсаΛьно, 6 – буΛьбус, проΛатераΛьно, 8 – буΛьбус, ΔорсаΛьно. Figs 1–8. Copulatory organs of Zelotes abdurakhmanovi sp. n. (1–6) and Zelotes mikhailovi (7–8). 1–2, 7 – epigyne, ventral view; 3–6, 8 – male palp and bulbus: 3 – palp, ventral view (MA – median apohysis, E – embolus, TA – terminal apophysis), 4 – palp, retrolateral view, 5 – apical part of bulbus, dorsal view, 6 – bulbus, prolateral view, 8 – bulbus, dorsal view. in A new species of spiders of the genus Zelotes Gistel, 1848 (Aranei: Gnaphosidae) from the North-East Pre-Caspian region
Рис. 1–8. КопуΛятивные органы Zelotes abdurakhmanovi sp. n. (1–6) и Zelotes mikhailovi (7–8). 1–2, 7 – эпигина, вентраΛьно; 3–6, 8 – паΛьпа и буΛьбус самцов: 3 – паΛьпа, вентраΛьно (MA – меΔиаΛьный отросток, E – эмбоΛюс, TA – терминаΛьный отросток), 4 – паΛьпа, ретроΛатераΛьно, 5 – апикаΛьная часть буΛьбуса, ΔорсаΛьно, 6 – буΛьбус, проΛатераΛьно, 8 – буΛьбус, ΔорсаΛьно. Figs 1–8. Copulatory organs of Zelotes abdurakhmanovi sp. n. (1–6) and Zelotes mikhailovi (7–8). 1–2, 7 – epigyne, ventral view; 3–6, 8 – male palp and bulbus: 3 – palp, ventral view (MA – median apohysis, E – embolus, TA – terminal apophysis), 4 – palp, retrolateral view, 5 – apical part of bulbus, dorsal view, 6 – bulbus, prolateral view, 8 – bulbus, dorsal view.
Maps and Validation result for LULC map of Pakyong sub-division, East Sikkim
<p>The repository contains the maps and images pertaining to the study area and the validation results.</p>
A downscaled 0.05-Degree Monthly Solar-Induced Chlorophyll Fluorescence Product derived using AVHRR Data in East Asia (1995-2003)
<p>Downscaling techniques offer the opportunity to utilize coarse-spatial-resolution SIF products for investigating carbon cycles and ecological processes at finer resolutions. Here, we generated a new monthly SIF product, DSIF_EA0.05, at a resolution of 0.05° in East Asia from July 1995 to June 2003. The random forest kriging (RFK) approach was employed, incorporating GOME SIF, AVHRR data, ERA5 climate data, and using the optimal explanatory variables. The unit of SIF is mW m<sup>-2</sup> nm<sup>-1</sup> sr<sup>-1</sup>. The selected variables were daily maximum values of air temperature (T<sub>air</sub>), skin temperature (T<sub>skin</sub>), fraction of absorbed photosynthetically active radiation (fPAR), near-infrared reflectance of vegetation (NIRv), downward shortwave radiation (SR<sub>down</sub>), and precipitation. To verify the reliability of DSIF_EA0.05 and the advantages over original GOME SIF, this dataset has been validated with the original GOME SIF, ground gross primary productivity (GPP) data from eight flux sites, and two other SIF products at 1-degree and 0.05-degree resolutions from SCIAMACHY SIF and downscaled SCIAMACHY SIF datasets.</p>
First description of in situ chlorophyll fluorescence signal within East Antarctic coastal polynyas during fall and winter
<p>Antarctic coastal polynyas are persistent and recurrent regions of open water located between the coast and the drifting pack-ice. In spring, they are the first polar areas to be exposed to light, leading to the development of phytoplankton blooms, making polynyas potential ecological hotspots in sea-ice regions. Knowledge on polynya oceanography and ecology during winter is limited due to their inaccessibility. This study describes i) the first in situ chlorophyll fluorescence signal (a proxy for chlorophyll-a concentration and thus presence of phytoplankton) in polynyas between the end of summer and winter, ii) assesses whether the signal persists through time and iii) identifies its main oceanographic drivers. The dataset comprises 698 profiles of fluorescence, temperature and salinity recorded by southern elephant seals in 2011, 2019–2021 in the Cape-Darnley (CDP;67˚S-69˚E) and Shackleton (SP;66˚S-95˚E) polynyas between February and September. A significant fluorescence signal was observed until April in both polynyas. An additional signal occurring at 130m depth in August within CDP may result from in situ growth of phytoplankton due to potential adaptation to low irradiance or remnant chlorophyll-a that was advected into the polynya. The decrease and deepening of the fluorescence signal from February to August were accompanied by the deepening of the mixed layer depth and a cooling and salinification of the water column in both polynyas. Using Principal Component Analysis as an exploratory tool, we highlighted previously unsuspected drivers of the fluorescence signal within polynyas. CDP shows clear differences in biological and environmental conditions depending on topographic features with higher fluorescence in warmer and saltier waters on the shelf compared with the continental slope. In SP, near the ice-shelf, a significant fluorescence signal in April below the mixed layer (around 130m depth), was associated with fresher and warmer waters. We hypothesize that this signal could result from potential ice-shelf melting from warm water intrusions onto the shelf leading to iron supply necessary to fuel phytoplankton growth. This study supports that Antarctic coastal polynyas may have a key role for polar ecosystems as biologically active areas throughout the season within the sea-ice region despite inter and intra-polynya differences in environmental conditions.</p>
ELITE land surface temperature: hourly seamless 0.02° LST over East Asia (2021)
<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 2021. Please<a href="../records/10668883" target="_blank" rel="noopener"> <strong><em>click here</em></strong></a> to download the ELITE LST product in Januray-June, 2022.</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: East Asia (0-60°N, 80°E-140°E)</li> <li>Temporal Coverage: 2021</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>
ELITE land surface temperature: hourly seamless 0.02° LST over East Asia (2020)
<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 0.02 ° hourly seamless 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 ELITE seamless LST product in 2020. Please <a href="https://zenodo.org/record/8260245"><strong><em>click here</em></strong></a> to download the ELITE LST product in 2019 and <a href="https://zenodo.org/record/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: 2020</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> <p> </p>
ELITE land surface temperature: hourly seamless 0.02° LST over East Asia (2018)
<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 0.02 ° hourly seamless 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 ELITE seamless LST product in 2018. Please <a href="https://zenodo.org/record/8266456"><strong><em>click here</em></strong></a> to download the ELITE LST product in 2017 and <a href="https://zenodo.org/record/8260245"><strong><em>click here</em></strong></a> to download the ELITE LST product in 2019.</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: East Asia (0-60°N, 80°E-140°E)</li> <li>Temporal Coverage: 2018</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> <p> </p>
ELITE land surface temperature: hourly seamless 0.02° LST over East Asia (2019)
<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 0.02 ° hourly seamless 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 ELITE seamless LST product in 2019. Please <a href="https://zenodo.org/record/8256087"><strong><em>click here</em></strong></a> to download the ELITE LST product in 2018 and <a href="https://zenodo.org/record/8264798"><strong><em>click here</em></strong></a> to download the ELITE LST product in 2020.</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: East Asia (0-60°N, 80°E-140°E)</li> <li>Temporal Coverage: 2019</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> <p> </p>
SUPPLEMENT TO "EAST BODISH REVISITED": DATA
<p>This dataset is the supplement to the publication "East Bodish Revisited".</p> <p>BULLETIN OF TIBETOLOGY, Vol 54 No 1 2023</p> <p>BODIC LINGUISTICS</p> <p>This issue of the <em>Bulletin of Tibetology, </em>guest-edited by Prof. George van Driem, is devoted chiefly to linguistics, but more especially to the field of Tibetology in its quintessence. The con­tributions are devoted not just to Sik­kim and the languages of Sikkim, but together they present the most substantive new collection of studies on Bodish languages and on Bodic as a linguis­tic subgroup. In detailing the most recent linguistic insights and clarifying the relationship between Tibetan, Drenjongke and Dzongkha, this issue of the <em>Bulletin</em> updates our understanding of the Bodish languages. At a higher taxonomic level in the family tree, a new understanding is also presented of Bodic as comprising an important branch within the Trans-Himalayan language family.</p> <p>CONTENTS</p> <p>George van Driem Editorial</p> <p>George van Driem The Sociolinguistic Situation of Sikkim’s Indigenous Languages and the Origins of the Peoples of Sikkim</p> <p>Timotheus A. Bodt East Bodish Revisited</p> <p>Nathan W. Hill A Tibetan Passive Construction in the Old Tibetan <em>Rāmāyaṇa</em></p> <p>Alex McKay Book Review: <em>Marching into View: The Tibetan Army in Historic Photographs </em>(1895–1959), Alice Travers, 2022</p> <p><a href="https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Ffiles.namgyalinstitutesikkim.org%2FBulletin%2520Vol%252054%2520No%25201%25202023.pdf&data=05%7C01%7Ctb47%40mysoas.onmicrosoft.com%7C60b2776a5ef442a1f11408db9fc7a568%7C674dd0a1ae6242c7a39f69ee199537a8%7C0%7C0%7C638279454887605807%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=3gRKlexqG8Z3J30ijgZG3nTZf5Kh9CAjzs%2Bk8i7Huvo%3D&reserved=0">https://files.namgyalinstitutesikkim.org/Bulletin%20Vol%2054%20No%201%202023.pdf</a></p> <p>Back issues of the <em>Bulletin of Tibetology</em> can be downloaded here: <a href="https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnamgyalinstitutesikkim.org%2Fbulletin%2F&data=05%7C01%7Ctb47%40mysoas.onmicrosoft.com%7C60b2776a5ef442a1f11408db9fc7a568%7C674dd0a1ae6242c7a39f69ee199537a8%7C0%7C0%7C638279454887605807%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=%2Fi4ZxNC3IeDFB1%2FIpv6xd%2FTK4ENwt7C%2FuVC%2FlIgBaF8%3D&reserved=0">https://namgyalinstitutesikkim.org/bulletin/</a></p> <p>This dataset contains all the cognate sets in the paper, with the same sequential numbering as in the paper. This provides for an easy cross-reference between this paper and the supplement. In addition to the information provided in the individual cognate sets in this paper, the cognate sets in the supplement contain important additional information. Whereas the cognate sets in this paper only have a reference to the source code in Table 1 when the source for an individual form is distinct from the main source consulted for each linguistic variety, the cognate sets in the supplement have a more specific reference to the page numbers as well. This makes it easier for people with no or limited knowledge of the source languages (in particular, Dzongkha and Chinese) of some of the source materials to cross-check the referenced forms in their original sources: This also contributes to greater transparency and accountability regarding the use of secondary sources. The cognate sets in the supplement also contain more forms in individual linguistic varieties, for example, forms that for some reason (e.g., borrowing, or lexical innovation) are not illustrative for the sound correspondence that the cognate set is deemed to exemplify, likely cognate forms in other languages, semantic content of the form in the specific variety if this differs from the semantic content of the concept it is cognate with, and other etymological notes and remarks of interest. The abbreviations for the data sources are </p> <table> <tbody> <tr> <td> <p><strong>abbr.</strong></p> </td> <td> <p><strong>variety</strong></p> </td> <td> <p><strong>source</strong></p> </td> <td> <p><strong>source (full)</strong></p> </td> </tr> <tr> <td> <p><strong>DD</strong></p> </td> <td> <p><strong>Dakpa-Dzala</strong></p> </td> </tr> <tr> <td> <p>DkW</p> </td> <td> <p>Dakpa Wénlàng</p> </td> <td> <p><strong>Lù02</strong></p> </td> <td> <p>Lù 2002</p> </td> </tr> <tr> <td> <p>DkM</p> </td> <td> <p>Dakpa Mámǎ</p> </td> <td> <p><strong>Lù02</strong></p> </td> <td> <p>Lù 2002</p> </td> </tr> <tr> <td> <p>Lù86</p> </td> <td> <p>Lù 1986</p> </td> </tr> <tr> <td> <p>DkB</p> </td> <td> <p>Dakpa Bāngjīn</p> </td> <td> <p><strong>Lù02</strong></p> </td> <td> <p>Lù 2002</p> </td> </tr> <tr> <td> <p>Dz</p> </td> <td> <p>Dzalakha</p> </td> <td> <p><strong>DDC17</strong></p> </td> <td> <p>DDC 2017</p> </td> </tr> <tr> <td> <p>TAB</p> </td> <td> <p>own data</p> </td> </tr> <tr> <td> <p>vD07</p> </td> <td> <p>van Driem 2007b</p> </td> </tr> <tr> <td> <p>DkT</p> </td> <td> <p>Dakpa Tawang</p> </td> <td> <p><strong>W02</strong></p> </td> <td> <p>Wangchu 2002</p> </td> </tr> <tr> <td> <p>TAB</p> </td> <td> <p>own data</p> </td> </tr> <tr> <td> <p>DkD</p> </td> <td> <p>Dakpa Dáwàng</p> </td> <td> <p><strong>Lù02</strong></p> </td> <td> <p>Lù 2002</p> </td> </tr> <tr> <td> <p>DkC</p> </td> <td> <p>Dakpa Cuònà</p> </td> <td> <p><strong>Y92</strong></p> </td> <td> <p>Yìxī 1992</p> </td> </tr> <tr> <td> <p><strong>OEB</strong></p> </td> <td> <p><strong>Other East Bodish</strong></p> </td> </tr> <tr> <td> <p>Kt</p> </td> <td> <p>Kurtöp</p> </td> <td> <p><strong>KD16</strong></p> </td> <td> <p>Hyslop et al. 2016</p> </td> </tr> <tr> <td> <p>KG17</p> </td> <td> <p>Hyslop 2017</p> </td> </tr> <tr> <td> <p>MM94</p> </td> <td> <p>Michailovsky and Mazaudon 1994</p> </td> </tr> <tr> <td> <p>Bt</p> </td> <td> <p>Bumthang</p> </td> <td> <p>vD15</p> </td> <td> <p>van Driem 2015</p> </td> </tr> <tr> <td> <p>MM94</p> </td> <td> <p>Michailovsky and Mazaudon 1994</p> </td> </tr> <tr> <td> <p><strong>DDC18</strong></p> </td> <td> <p>Dzongkha Development Commission 2018</p> </td> </tr> <tr> <td> <p>IT21</p> </td> <td> <p>Ikeda 2021b</p> </td> </tr> <tr> <td> <p>BtU</p> </td> <td> <p>Bumthang Ura</p> </td> <td> <p><strong>DDC18</strong></p> </td> <td> <p>Dzongkha Development Commission 2018</p> </td> </tr> <tr> <td> <p>BtC</p> </td> <td> <p>Bumthang Chume</p> </td> <td> <p><strong>DDC18</strong></p> </td> <td> <p>Dzongkha Development Commission 2018</p> </td> </tr> <tr> <td> <p>Kh</p> </td> <td> <p>Khengkha</p> </td> <td> <p><strong>YA96</strong></p> </td> <td> <p>Yangzom and Arkesteijn 1996</p> </td> </tr> <tr> <td> <p>IT21</p> </td> <td> <p>Ikeda 2021b</p> </td> </tr> <tr> <td> <p>TAB</p> </td> <td> <p>own data</p> </td> </tr> <tr> <td> <p>Md</p> </td> <td> <p>(Upper) Mangdep</p> </td> <td> <p><strong>B16</strong></p> </td> <td> <p>Bosch 2016</p> </td> </tr> <tr> <td> <p> </p> </td> <td> <p><strong>Other languages</strong></p> </td> </tr> <tr> <td> <p>Tib</p> </td> <td> <p>Tibetan</p> </td> <td> <p> </p> </td> <td> <p>(various)</p> </td> </tr> <tr> <td> <p>Chi</p> </td> <td> <p>Chinese</p> </td> <td> <p>BS</p> </td> <td> <p>Baxter and Sagart 2014</p> </td> </tr> <tr> <td> <p>Tsh</p> </td> <td> <p>Tshangla</p> </td> <td> <p>DDC18a</p> </td> <td> <p>Dzongkha Development Commission 2018a</p> </td> </tr> <tr> <td> <p>TAB</p> </td> <td> <p>own data</p> </td> </tr> <tr> <td> <p>Bur</p> </td> <td> <p>Burmese</p> </td> <td> <p> </p> </td> <td> <p>mainly Hill 2019</p> </td> </tr> </tbody> </table> <pre>References: Baxter, William H. & Laurent Sagart. 2014. <em>Old Chinese: a new reconstruction. </em>New York: Oxford University Press. Bosch, André. 2016<em>. Language contact in Upper Mangdep: a comparative grammar of verbal constructions.</em> BA thesis. University of Sydney: Department of Linguistics, Faculty of Arts and Social Sciences. DDC (Dzongkha Development Commission). rdzoṅ-kha daṅ dza-la-kha iṅ-liś śan-sbyar tshig-gi mdzod [<em>Dzongkha-Dzalakha-English Lexicon</em>]. Thimphu: Dzongkha Development Commission. —— 2018. bum-thaṅ-kha rdzoṅ-kha iṅ-liś śan-sbyar miṅ-mdzod [<em>Bumthang-Dzongkha-English Lexicon</em>]. Thimphu: Dzongkha Development Commission. —— 2018a. tshangs-la-lo – rdzoṅ-kha – iṅ-liś skad gsum śan-sbyar miṅ-mdzod tshaṅs-lhaḥi sgra-dbyaṅs [<em>Melody of Brahma: Tshangla – Dzongkha – English trilingual lexicon</em>]. Thimphu: Dzongkha Development Commission. van Driem, George. 2007b. Dzala and Dakpa form a coherent subgroup within East Bodish, and some related thoughts. <em>Linguistics of the Himalayas and beyond</em>: 71–85. —— 2015. <em>Synoptic grammar of the Bumthang language.</em> Himalayan Linguistics Archive 6 (2015), 1–77. Hill, Nathan W. 2019. <em>The Historical Phonology of Tibetan, Burmese, and Chinese. </em>Cambridge: Cambridge University Press. Hyslop, Gwendolyn. 2017. <em>A grammar of Kurtöp.</em> Languages of the Greater Himalayan Region 18. Leiden/Boston: Brill. Hyslop, Gwendolyn, Karma Tshering, Kuenga Lhendrup, and Pema Chhophyel. 2016. <em>Kurtöp/English/Dzongkha Dictionary</em> (draft). Ikeda, Takumi. 2021b. Basic Vocabulary of Khengkha with English-Chinese Index Ver. 6 (2021/02/28). In, Yasuhiko Nagano and Takumi Ikeda (eds.) <em>Grammatical Phenomena of Sino-Tibetan Languages 4: Link languages and archetypes in Tibeto-Burman</em>: 121–241. Lù, Shàozūn 陆绍尊. 1986.《错那门巴语简志》Cuònà Ménbāyǔ Jiǎnzhì [<em>Brief description of the Cuona Menba language</em>]. 北京: 民族出版社出版发 行 Běijīng: Mínzú chūbǎn shè [Peking: Nationalities Press]. —— 2002.《门巴语方言研究》<em>Ménbā yǔ fāngyán yánjiū</em> [<em>A study of the Menba dialect</em>]. 中国少数民族语言方言研究丛书 Zhōngguó shào shù mínzú yǔyán fāngyán yánjiū cóngshū [Chinese Minority Language Dialect Research Series]). 北京: 民族出版社 Běijīng: Mínzú chūbǎn shè [Peking: Nationalities Press]. Michailovsky, Boyd and Martine Mazaudon. 1994. Preliminary notes on the languages of the Bumthang group. In, Per Kvaerne (ed.) <em>Tibetan Studies, Proceedings of the 6th seminar of the International Association for Tibetan Studies</em>. Fagernes: The institute for comparative research in human culture, pp. 545–557. Wangchu, Lhama. 2002. <em>An introduction to Tawang Monpa language. </em>Itanagar: Directorate of Research, Department of Cultural Affairs, Government of Arunachal Pradesh. Yangzom, Deki and Marlen Arkesteijn. 1996. <em>Khengkha Lessonbook.</em> Thimphu: SNV Bhutan. Yìxī 益西 [Ye-śes]. 1992.《试论措那门巴话与藏语关系》Shì lùn Cuònà Ménbā huà yǔ Zàng yǔ guānxì [On the relationship between the Cuònà Ménbā dialect and the Tibetan language]. 西藏研究 1992年, 3期: 108–122 <em>Xīzàng Yánjiū</em> 1992 nián, 3 qī: 108–122 [<em>Tibet Studies</em> 1992, Issue 3: 108–122].</pre>
Raw, processed and merged Data for Swiss Cat+ East A1 project related to the automated and high-throughput Bayesian Optimization of CO2 hydrogenation heterogeneous catalysts
<p> All files generated during the fully digitalized automated and high-throughput experimentally-guided Bayesian Optimization project, which led to the synthesis of 144 heterogeneous catalysts with a Chemspeed unit (6 generations of 24) and their testing under CO2 hydrogenation conditions with Avantium fixed bed units. Below are some indication to understand the naming of the files.</p> <ul> <li>A1 stands for the internal project number.</li> <li>G1 to G5 stands for the catalyst generation number and G2NC for the alternative second generation suggested by the Bayesian Optimizer without considering the cost of catalyst as an objective (No_Cost).</li> <li>Three fixed bed units have been used, named XDB4x (a 4 parallel reactors unit), XDC4x (another 4 parallel reactors unit) and XR16x (a 16 parallel reactors unit).</li> <li>Individual fixed bed testing raw files (FB_RawData) generated by each unit are then processed to extract the mean and standard deviation (std) values (e.g conversion, selectivity) and to compute reactions rates.</li> <li>Then the processed files for each individual reactor (XDB, XDC, XR) are combined into one file (All_FBData), and finally aggregated with the synthesis details, viathe catalyst barcodes (AllData_Processed).</li> <li>Finally, the processed file for each generation are merged together (AllGen_Merged) and a condensed file is generated for a given reaction temperature (AllGen_275CDataProcessed_Merged)</li> </ul>
Cumulative and average fishing hours in the Mediterranean, Black and North-east Atlantic for the period 2015-2020
<p>Fishing effort data publicly accessible thought the Global Fishing Watch (GFW) site (GFW, 2022) have been used to investigate the spatiotemporal distribution of fishing activities in a wide area (Latitude: 30.7°N - 66°N; Longitude: 14.4°W - 41.9°E).</p> <p>Daily fishing effort data by flag state and vessel class at 0.01° resolution, from 2015 to 2020, have been filtered and aggregated to obtain fishing effort information of six main gear categories. Categories were created by aggregation of the following vessel classes: fixed gears (pots and traps, set longlines, set gillnets and fixed gear), purse seines (purse seines, tuna purse seines and other purse seines), trawlers (trawlers), drifting longlines (drifting longlines), dredge (dredge fishing) and other (pole and line, fishing, trollers, seiners, other seines and squid jigger). Data were aggregated to obtain cumulative (fahs) and average (mfahs) fishing hours by fishing category at 0.1° and 0.5° resolution.</p> <p>Maps of fishing activity for each gear have been created for eight main areas at 0.1° (Adriatic Sea, Aegean Sea, Balearic Sea, Baltic Sea, Bay of Biscay, Black Sea, Levantine Sea and North Sea) and at Mediterranean and Atlantic level at 0.5°.</p> <p>The dataset presented includes for each gear spatial layers of the cumulative and average fishing hours at 0.1° and 0.5° resolution (.shp; .csv) and maps of each case study area.</p>
Soil erosion by water in the 1980s-2020s in the steppe region of the southeast of the East European Plain (Volgograd region, Russia)
<p>The dataset contains rasters with a 30m resolution of the distribution of soil erosion by water. Raster "Soil Losses 1980s" has shown the average soil losses by water erosion in the 1980-1990s, and raster "Soil Losses 2020s" has shown average soil losses by water erosion in the 2010-2020s.</p>
Impact of Convection-permitting and Model Resolution on the Simulation of Mesoscale Convective System Properties over East Asia: companion dataset
<p>This folder includes the intermediate data for the following manuscript:</p><p>Ding et al., Impact of Convection-permitting and Model Resolution on the Simulation of Mesoscale Convective System Properties over East Asia</p><p>The simulations were done using ICON-NWP (ICON Numerical Weather Prediction) model, version 2.6.1, over Asian monsoon region (62E–150E, 5.5N–54.5N) for 2020 summer. At the moment, we upload the intermediate data for MCS tracking. For more data, please contact the authors.</p>
Middle East oil and gas methane emissions signature captured at a remote site using light hydrocarbon tracers
<p>Datasets of measured species mixing ratios during the Cape Greco winter campaign in 2021-2022 associated publication of the same name: "Middle East oil and gas methane emissions signature captured at a remote site using light hydrocarbon tracers". While CO2 values are given in ppm, other compounds units are ppb.</p>
Fig. 13 in Hyoliths and small shelly fossils from the Lower Cambrian of North-East Greenland
Fig. 13. Coleolus sp. A. MGUH 27119, from GGU sample 314933, lateral view. B. MGUH 27120, from GGU sample 314835; B1–B3, lateral views; B4, cross−section. C. MGUH 3527 from the collections of C. Poulsen, lateral view. Scale bars 1 mm.
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