Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
109
datasets available to search
ShareScore release 0.7.1
Dataset results
109 results for “Sikkim”
Рис. 16–22. Anomala malivirens sp. nov., гоΛотип (16–19), A. cribrata, Ява (cZ) (20), A. diana, Ассам (cZ) (21) и A. perplexa, синтип, Сикким (NHM) (22): 16 — общий виΔ; 17, 20–22 — эΔеагус сбоку; 18 — парамеры сверху; 19 — парамеры и базаΛьная пΛастика снизу. Масштаб: 16 — 5 мм; 17–22 — 1 мм (Λинейка общая ΔΛя 18 и 19) Figs. 16–22. Anomala malivirens sp. nov., holotype (16–19), A. cribrata, Java (cZ) (20), A. diana, Assam (cZ) (21) и A. perplexa, syntype, Sikkim (NHM) (22): 16 — habitus; 17, 20–22 — aedeagus, lateral view; 18 — parameres, dorsal view; 19 — parameres and basal plate, ventral view. Scale bars: 16 — 5 mm; 17–22 — 1 mm (common bar for 18 and 19) in On the systematics of the Anomalina subtribe in Southeast Asia (Coleoptera: Scarabaeidae: Rutelinae: Anomalini)
Рис. 16–22. Anomala malivirens sp. nov., гоΛотип (16–19), A. cribrata, Ява (cZ) (20), A. diana, Ассам (cZ) (21) и A. perplexa, синтип, Сикким (NHM) (22): 16 — общий виΔ; 17, 20–22 — эΔеагус сбоку; 18 — парамеры сверху; 19 — парамеры и базаΛьная пΛастика снизу. Масштаб: 16 — 5 мм; 17–22 — 1 мм (Λинейка общая ΔΛя 18 и 19) Figs. 16–22. Anomala malivirens sp. nov., holotype (16–19), A. cribrata, Java (cZ) (20), A. diana, Assam (cZ) (21) и A. perplexa, syntype, Sikkim (NHM) (22): 16 — habitus; 17, 20–22 — aedeagus, lateral view; 18 — parameres, dorsal view; 19 — parameres and basal plate, ventral view. Scale bars: 16 — 5 mm; 17–22 — 1 mm (common bar for 18 and 19)
Neutron diffraction data of Sikkim and West Bengal samples
<p>This is the data set for the quartz pole figures for six quartzite samples from Sikkim and West Bengal, Indian Himalayas. The data for each sample starts with the sample label: SK222, WB03, WB10, WB11, WB41, and WB76.</p>
Structural geology data for the Pelling region, Sikkim, India
<p>This is the structural data (foliation planes, stretching lineations, crenulation lineations and fold axes) for the region around the town of Pelling, Sikkim, India. </p>
Linked collectors and determiners for: Second-step lectotypification of Garcinia stipulata (Clusiaceae) and its recollection from Darjeeling-Sikkim Himalaya, India.
Natural history specimen data linked to collectors and determiners held within, "Second-step lectotypification of Garcinia stipulata (Clusiaceae) and its recollection from Darjeeling-Sikkim Himalaya, India". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/cf17e859-b79e-4730-a508-c0c1a2cf2fd5">https://bionomia.net/dataset/cf17e859-b79e-4730-a508-c0c1a2cf2fd5</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/cf17e859-b79e-4730-a508-c0c1a2cf2fd5">https://gbif.org/dataset/cf17e859-b79e-4730-a508-c0c1a2cf2fd5</a>. Formatted as a Frictionless Data package.
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>
Multi-temporal landslide inventory for southern Sikkim State, India
<p>The <em>Multi-temporal landslide inventory for southern Sikkim State, India</em>, is based on two data-sources (mapped extent given in <strong>Shapefile A</strong>): Google Earth images (<strong>Shapefiles B–C</strong>) and stereoscopic Cartosat-1 satellite images (<strong>Shapefiles D–F</strong>). The landslide inventories were collected for the purpose of mapping landslide domains (regions with similar physical and environmental characteristics that specifically drive landslide style) and the data was used to give a general idea of landslides occurring in the region rather than a detailed overview. The landslide inventories are given as shapefiles with two sources of data described separately, after which a summary of all shapefiles is given.</p> <p>Google Earth landslides are mapped using images from 2002 to 2019 with a mapped extent of approximately 3000 km<sup>2</sup> and was ground-truthed during a 12-day field visit from 23 February to 6 March 2019. The resultant landslide inventory contains 440 landslides with three main landslide types identified: translational slides, debris flows, and rockfalls. Translational slides include debris slides, rock slides, and unclassified translational slides. In the landslide inventory, debris flows and rockfalls are mapped as points representing their source area and translational slides are mapped as polygons representing both the source and depositional area. A complete description of the landslide types and mapping is given in Heijenk (2022, Chapter 3, section 3.4.2) The final landslide inventory (refer to how they would access it here, so a reference, or shapefile) includes the following:</p> <ul> <li><strong>Year</strong>, the year of the first image that the landslide appears in is taken,</li> <li><strong>Geology</strong>, the geological unit that the landslide occurs in is taken from Mottram <em>et al.</em> (2004),</li> <li><strong>Area</strong>, for translational slides the area is given,</li> <li><strong>Topographic data</strong> (elevation, aspect, slope, and curvature), which is taken from ASTER GDEM (Version 3.0, 2018, 30 m horizontal resolution, 30 m vertical resolution).</li> </ul> <p>The Cartosat landslide inventory contains 44 features mapped from one pair of stereoscopic Cartosat-1 images (National Remote Sensing Centre, Cartosat-1 ID 197823411, https://www.nrsc.gov.in/, 2.5 m x 2.5 m) captured on 30 September 2011 with extents of 851 km<sup>2</sup> and 957 km<sup>2</sup>. Three main landslide types have been mapped: deep-seated landslides, multi-temporal landslide areas, and rockfall areas. For deep-seated landslides, the scarp is mapped separately from the depositional area. A complete description of the methodology is given in Heijenk (2022, Chapter 3, section 3.4.3).</p> <p>The following shapefiles are included in this dataset:</p> <ol> <li><strong>Google_Earth_mapped_extent_21Dec2021.shp</strong>: Shapefile with a polygon that denotes the mapped extent of southern Sikkim State.</li> <li><strong>Google_Earth_landslides_polygon_21Dec2021.shp</strong>: Shapefile with 255 polygon features, where the polygon includes the source and depositional area of translational landslides.</li> <li><strong>Google_Earth_landslides_point_21Dec2021.shp</strong>: Shapefile with 185 point features that denote the source area of both debris flows and rockfalls.</li> <li><strong>Cartosat_197823411_extents.shp</strong>: Shapefile with 2 polygon features that denote the extent of the Cartosat-1 image pair captured on 30 September 2011.</li> <li><strong>Cartosat_landslides_21Dec2021.shp</strong>: Shapefile with 67 polygon features that describe 44 landslide features. Some landslide features have been mapped with separate polygons for the scarp and the depositional area.</li> <li><strong>Cartosat_197823411clouds.shp</strong>: Shapefile with 5 polygon features that show an estimated area of the clouds that block landslide mapping in the 30 September 2011 Cartosat-1 image pair.</li> </ol> <p>All shapefiles are in an WGS 84 EPSG:3857 projection.</p> <p>This research was funded by the UK Natural Environment Research Council (NERC, Grant # NE/R012148/1) and the British Geological Survey (BGS, BUFI).</p> <p>References: </p> <p>Heijenk, R.A. (2022). Landslide Variables, Inventories, and Domains in Data-Poor Regions: A Case Study in East Sikkim, India. [PhD thesis]. King’s College London.</p>
Glacier Inventories in the Chhombo Chhu Watershed of Tista basin, Sikkim Himalaya, India
<p>Multi-temporal inventory of glaciers compiled for the Chhombo Chhu Watershed (CCW) of Tista basin, Sikkim Himalaya, India. The CCW consists of 74 glaciers (>0.02 km<sup>2</sup>) with a mean glacier size of 0.61 km<sup>2</sup>. Change analysis based on the glaciers outlines obtained from declassified hexagon KH-9 (1975), Landsat 5 TM (1989), Landsat 7 ETM+ (2000), Landsat 5 TM (2010) and Sentinel 2A (2018). The total glacier area in 1975 was 62.6 ±0.7 km<sup>2</sup>; by 2018 the glacier area had decreased to 44.8 ± 1.5 km<sup>2</sup>, an area loss of 17.9 ± 1.7 km<sup>2</sup> (0.42 ± 0.04 km<sup>2 </sup>a<sup>–1</sup>). Debris free glaciers exhibit more area loss by 11.8 ± 1.2 km<sup>2</sup> (0.27 ± 0.03 km<sup>2 </sup>a<sup>–1</sup>) followed by partially debris-covered (5.0 ± 0.4 km<sup>2</sup> or 0.12 ± 0.01 km<sup>2 </sup>a<sup>–1</sup>) and maximum debris-covered (1.0 ± 0.1 km<sup>2</sup> or –0.02 ± 0.002 km<sup>2 </sup>a<sup>–1</sup>) glaciers. The quantum of glacier area loss in the CCW of Sikkim Himalaya took its pace during 2000–2010 (0.62 ± 0.5 km<sup>2 </sup>a<sup>–1</sup>) and 2010–2018 (0.77 ± 0.6 km<sup>2 </sup>a<sup>–1</sup>) timeframes. Field investigations of selected glaciers and climatic records also support the trend in glacier recession in the CCW, as a result of significant increase in temperature trend and more or less static precipitation since 1995. Glacier retreat rates in the CCW were almost similar to the Changme Khangpu basin and other selected glaciers in Sikkim Himalaya. Thus, this glacier inventory and area change analysis will provide valuable information to the glaciological and hydrological community for the future modeling and planning of the water resources in Sikkim state of Eastern Himalaya.</p>
Pléiades Digital Elevation Models of South Lhonak Lake (Sikkim, India)
<h1>Data and methods</h1> <p>On 3 October 2023, the collapse of a frozen lateral moraine into South Lhonak Lake triggered a multi-hazard cascade in the Sikkim Himalaya, India (Sattar et al, 2025). This repository contains two DEMs derived from Pléiades satellite images that were acquired before and after the event. </p> <ul> <li>A post-event DEM computed from a pair of PHR1A stereoscopic images acquired on 2023-10-29 (20231029.tif)</li> <li>A pre-event DEM computed from a triplet of PHR1A stereoscopic images acquired on 2022-10-18 (20221018.tif)</li> </ul> <p>The DEMs (height above the WGS84 ellipsoid) were posted at 1.0 m with UTM 45N projection (EPSG:32645) and coregistered to the GLO30 Copernicus DEM. They were computed with the MicMac software in the DSM-OPT service using the following configuration: correlation window size: 3x3, regularization factor: 0.05, vertical uncertainty: 0.1, potential accuracy threshold: 0.4 (Rupnik et al. 2017).</p> <p>These DEMs allow the analysis of topographic changes in the lake area. We included examples of such analysis with the addition of the High Mountain Asia 8 m DEM (Shean 2017).</p> <h1>Acknowledgements </h1> <p>Pléiades images were acquired and processed thanks to the CIEST2 service developed and performed with the French Space Agency (CNES) by FormaTerre, Solid Earth component of the Data Terra Research Infrastructure.</p> <h1>References</h1> <div> <p>Sattar et al. (2025) The Sikkim flood of October 2023: Drivers, causes and impacts of a multihazard cascade. Science, eads2659, https://doi.org/10.1126/science.ads2659</p> Rupnik, E., Daakir, M., & Pierrot Deseilligny, M. (2017). MicMac–a free, open-source solution for photogrammetry. <em>Open geospatial data, software and standards</em>, <em>2</em>, 1-9. https://doi.org/10.1186/s40965-017-0027-2</div> <div> </div> <div>Shean, D. (2017). High Mountain Asia 8-meter DEM Mosaics Derived from Optical Imagery, Version 1 [Data Set]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/KXOVQ9L172S2. Date Accessed 07-29-2024.</div>
Spot6 and Pléiades Digital Elevation Models (DEMs) and elevation change grid to understand the South Lhonak lake (Sikkim) flood of October 2023
<p>===========================</p> <p>Introduction</p> <p> </p> <p>On 3 October 2023, a multi-hazard cascade in the Sikkim Himalaya, India, was triggered by the collapse of a frozen lateral moraine into South Lhonak Lake</p> <p>We share here the SPOT6 and Pléiades DEMs and the elevation change maps derived from these images. The collection includes four files:</p> <p>Two pre-event DEMs from SPOT6</p> <p>2018-12-01_Lhonak_DEM_SGM_4m_on_Cop30_BiasCorr_NoData_aligned.tif</p> <p>2018-12-08_Lhonak_DEM_SGM_4m_on_Cop30_BiasCorr_NoData_aligned.tif</p> <p>One post-event mosaic DEM from Pléiades </p> <p>Post-Event_DEM_SGM_october2023.tif</p> <p>One grid of elevation change from 2018 to 2023</p> <p>dh_mosaic_Lhonak_SGM_median.tif</p> <p> </p> <p>===========================</p> <p>Methods</p> <p>The SPOT6 and Pléiades stereo-images were processed using the Ames Stereo Pipeline (ASP, Beyer et al., 2018), yielding a DEM in 4x4 m GSD. The processing was done using as only input the stereo-images and their orientation information, as Rational Polynomial Coefficients (RPCs). The parallel_stereo routine performs all the steps needed in the correlation of the stereo-images, yielding a pointcloud which is then interpolated using the routine point2dem. We used the semi global matching algorithm and the set of processing parameters from Deschamps-Berger et al. (2020)</p> <p>Beyer, R. A., Alexandrov, O., and McMichael, S.: The Ames Stereo Pipeline: NASA’s Open Source Software for Deriving and Processing Terrain Data, Earth and Space Science, 5, 537–548, https://doi.org/10.1029/2018EA000409, 2018.</p> <p>Deschamps-Berger, C., Gascoin, S., Berthier, E., Deems, J., Gutmann, E., Dehecq, A., Shean, D., and Dumont, M.: Snow depth mapping from stereo satellite imagery in mountainous terrain: evaluation using airborne laser-scanning data, The Cryosphere, 14, 2925–2940, https://doi.org/10.5194/tc-14-2925-2020, 2020.</p> <p> </p> <p>===========================</p> <p>Data Specifications:</p> <p>Cartographic projection: UTM zone 45N (EPSG:32645)</p> <p>Origin of Elevation: meters above WGS84 ellipsoid</p> <p>Raster data format: GeoTIFF</p> <p>NoData value : -9999</p> <p> </p> <p>===========================</p> <p>Acknowledgements:</p> <p>Pléiades and SPOT6 images were acquired thanks to the CIEST2 service developed and performed with the French Space Agency (CNES) by FormaTerre, Solid Earth component of the Data Terra Research Infrastructure</p> <p> </p> <p>===========================</p> <p>Dataset Attribution:</p> <p>This dataset is licensed under a Creative Commons CC BY-NC 4.0 International License (Attribution-NonCommercial).</p> <p> </p>
Sample Study on Avifaunal Diversity of North Sikkim during October 2018.
<p>The Sample Study on Avifaunal Diversity of North Sikkim was conducted by Lina Chatterjee in the month of October 2018 and the identification and data analysis was done by Nature Mates-Nature Club team.</p> <p>This dataset covers the areas Lachen, Yamthung valley, Lachung, Gurudongmar. The study area covers varied habitats like Alpine pasture, hilly area, waterfalls, meandering rivers, rhododendron forest, River, hot spring, grazing pasture, rolling meadows with pine and silver fir lining sides, Cold alpine lake, snow capped mountain. </p> <p>All the species are identified up to the species level. A total of 108 species of birds are recorded belonging to 36 families, 9 orders.</p> <p><strong>Sampling method</strong>: Pont Count</p> <p><strong>Contacts</strong></p> <p>1.Name: Arjan Basu Roy</p> <p>Position: Secretary</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email: basuroyarjan@gmail.com</p> <p>Orcid : <a href="https://orcid.org/0000-0001-9872-3562">https://orcid.org/0000-0001-9872-3562</a></p> <p> </p> <p>2.Name: Lina Chatterjee</p> <p>Position: Research Associate</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email: <a href="mailto:lina.linachatterjee@gmail.com">lina.linachatterjee@gmail.com</a></p> <p>Orcid : <a href="https://orcid.org/0000-0002-5626-5046">https://orcid.org/0000-0002-5626-5046</a></p> <p> </p> <p>3.Name: Tarak Samanta</p> <p>Position: Research Associate</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email: <a href="mailto:taraksamanta995@gmail.com">taraksamanta995@gmail.com</a></p> <p>Orcid : <a href="https://orcid.org/0000-0001-6809-0549">https://orcid.org/0000-0001-6809-0549</a></p> <p> </p> <p>4.Name: Sumana Besra</p> <p>Position: Intern</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email:<a href="mailto:sumanabesra1999@gmail.com">sumanabesra1999@gmail.com</a> </p> <p>Orcid : <a href="https://orcid.org/0000-0001-7222-2946">https://orcid.org/0000-0001-7222-2946</a> </p> <p> </p> <p>5.Name: Nivedita Sengupta</p> <p>Position: Research Associate</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email: niveditasngpta.ns@gmail.com</p> <p>Orcid : <a href="https://orcid.org/0000-0003-1085-7385">https://orcid.org/0000-0003-1085-7385</a></p> <p> </p> <p>6.Name: Vijay Barve</p> <p>Position: Research Advisor</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email: <a href="mailto:vijay.barve@gmail.com">vijay.barve@gmail.com</a></p> <p>Orcid : <a href="https://orcid.org/0000-0002-4852-2567">https://orcid.org/0000-0002-4852-2567</a></p> <p> </p> <p><strong>Home page</strong>: <a href="http://www.naturematesindia.org/">http://www.naturematesindia.org/</a></p>
Sample Study on Avifaunal Diversity of East Sikkim during May 2023.
<p>The Sample Study on Avifaunal Diversity of East Sikkim was conducted by Lina Chatterjee in the month of May 2023 and the identification and data analysis was done by Nature Mates-Nature Club team.</p> <p>This dataset covers the areas Rongli, Padamchen and Zuluk which lies under Pangolakha wildlife sanctuary, Thambi and Nathang. The study area cover varied habitats like hilly terrain, village landscape, mountain landscape, high altitude lake, valleys, snow-capped mountain, alpine, sub alpine, temperate forest with rhododendron plants and oak,silver fir, juniper, pine trees and bamboo thickets. </p> <p>All the species are identified up to the species level. A total of 121 species of birds are recorded belonging to 39 families and 9 orders.</p> <p><strong>Sampling method</strong>: Point Count</p> <p><strong>Contacts</strong></p> <p>1.Name: Arjan Basu Roy</p> <p>Position: Secretary</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email: basuroyarjan@gmail.com</p> <p>Orcid : <a href="https://orcid.org/0000-0001-9872-3562">https://orcid.org/0000-0001-9872-3562</a></p> <p> </p> <p>2.Name: Lina Chatterjee</p> <p>Position: Research Associate</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email: <a href="mailto:lina.linachatterjee@gmail.com">lina.linachatterjee@gmail.com</a></p> <p>Orcid : <a href="https://orcid.org/0000-0002-5626-5046">https://orcid.org/0000-0002-5626-5046</a></p> <p> </p> <p>3.Name: Tarak Samanta</p> <p>Position: Research Associate</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email: <a href="mailto:taraksamanta995@gmail.com">taraksamanta995@gmail.com</a></p> <p>Orcid : <a href="https://orcid.org/0000-0001-6809-0549">https://orcid.org/0000-0001-6809-0549</a></p> <p> </p> <p>4.Name: Sumana Besra</p> <p>Position: Intern</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email:<a href="mailto:sumanabesra1999@gmail.com">sumanabesra1999@gmail.com</a> </p> <p>Orcid : <a href="https://orcid.org/0000-0001-7222-2946">https://orcid.org/0000-0001-7222-2946</a> </p> <p> </p> <p>5.Name: Nivedita Sengupta</p> <p>Position: Research Associate</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email: niveditasngpta.ns@gmail.com</p> <p>Orcid : <a href="https://orcid.org/0000-0003-1085-7385">https://orcid.org/0000-0003-1085-7385</a></p> <p> </p> <p>6.Name: Vijay Barve</p> <p>Position: Research Advisor</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email: <a href="mailto:vijay.barve@gmail.com">vijay.barve@gmail.com</a></p> <p>Orcid : <a href="https://orcid.org/0000-0002-4852-2567">https://orcid.org/0000-0002-4852-2567</a></p> <p> </p> <p> </p> <p><strong>Home page</strong>: <a href="http://www.naturematesindia.org/">http://www.naturematesindia.org/</a></p>
Rediscovery of Primula cooperi Balf.f. (Primulaceae), a species endemic to Sikkim, Eastern Himalaya
Open the record for dataset details and reuse information.
Subspecies and Distribution. R. p. perniger Hodgson, 1843 - N, C & SW India (Uttarakhand, Sikkim, West Bengal, Assam, Meghalaya, Nagaland, Madhya Pradesh, Karnataka, and Kerala), C & E Nepal, Bhutan, Bangladesh, Myanmar, S China (Yunnan), N Thailand, Laos, Vietnam, and Cambodia. . p. lanosus K. Andersen, 1905 — C & SE China (Sichuan, Guizhou, Guangxi, Anhui Zhejiang,Jiangxi, Fujian, and Guangdong). R.p. spurcus G. M. Allen, 1928 - Hainan I, China. Possibly also peninsular Thailand, according to recorded calls. in Rhinolophidae
Subspecies and Distribution. R. p. perniger Hodgson, 1843 - N, C & SW India (Uttarakhand, Sikkim, West Bengal, Assam, Meghalaya, Nagaland, Madhya Pradesh, Karnataka, and Kerala), C & E Nepal, Bhutan, Bangladesh, Myanmar, S China (Yunnan), N Thailand, Laos, Vietnam, and Cambodia. . p. lanosus K. Andersen, 1905 — C & SE China (Sichuan, Guizhou, Guangxi, Anhui Zhejiang,Jiangxi, Fujian, and Guangdong). R.p. spurcus G. M. Allen, 1928 - Hainan I, China. Possibly also peninsular Thailand, according to recorded calls.
Subspecies and Distribution. R. p. pearsonii Horsfield, 1851 - N India (Uttarakhand, Sikkim, West Bengal, Assam, Meghalaya, and Mizoram), Nepal, Bhutan, Bangladesh,, S & SE China (Xizang, Sichuan, Yunnan, Shaanxi, Guizhou, Guangxi, Hubei, Hunan, and Guangdong), Myanmar, Thailand, Laos, Vietnam, and Cambodia. R.p. chinensisK. Andersen, 1905 - SE China (Anhui, Zhejiang, Jiangxi, and Fujian). in Rhinolophidae
Subspecies and Distribution. R. p. pearsonii Horsfield, 1851 - N India (Uttarakhand, Sikkim, West Bengal, Assam, Meghalaya, and Mizoram), Nepal, Bhutan, Bangladesh,, S & SE China (Xizang, Sichuan, Yunnan, Shaanxi, Guizhou, Guangxi, Hubei, Hunan, and Guangdong), Myanmar, Thailand, Laos, Vietnam, and Cambodia. R.p. chinensisK. Andersen, 1905 - SE China (Anhui, Zhejiang, Jiangxi, and Fujian).
Subspecies and Distribution. R. a. afinis Horsfield, 1823 - Malay Peninsula (including Langkawi and Tioman Is), Sumatra, North Pagai I in Mentawai Is, and Java. R. a. hainanusJ. A. Allen, 1906 - Hainan I, China. R. a. himalayanus K Andersen, 1905 — N India (Uttarakhand, Uttar Pradesh, Sikkim, West Bengal, Assam, Meghalaya, Arunachal Pradesh, and Nagaland), Nepal, Bhutan, NE Bangladesh, N Myanmar, and C & S China (Sichuan, Yunnan, Shaanxi, Hubei, Hunan, and Guizhou). R. a. macrurus K. Andersen, 1905 - SE China (Jiangsu, Anhui, Zhejiang, Jiangxi, Fujian, Guangdong, Hong Kong, and Guangxi), S Myanmar, Thailand, Laos, and Vietnam (including Dao Tra Ban and Phu Quoc Is); possibly also Cambodia. R. a. nesites K. Andersen, 1905 - Borneo (including Laut, Sebuku, and Laut Kecil Is) and Anamba and Natuna Is. R. a. princeps K. Andersen, 1905 — Kangean (Kangean and Sepanjang Is), Lombok, Sumbawa, Flores, and Sumba Is. A morphologically distinct subspecies (still unnamed) is known from E Myanmar and N Vietnam. in Rhinolophidae
Subspecies and Distribution. R. a. afinis Horsfield, 1823 - Malay Peninsula (including Langkawi and Tioman Is), Sumatra, North Pagai I in Mentawai Is, and Java. R. a. hainanusJ. A. Allen, 1906 - Hainan I, China. R. a. himalayanus K Andersen, 1905 — N India (Uttarakhand, Uttar Pradesh, Sikkim, West Bengal, Assam, Meghalaya, Arunachal Pradesh, and Nagaland), Nepal, Bhutan, NE Bangladesh, N Myanmar, and C & S China (Sichuan, Yunnan, Shaanxi, Hubei, Hunan, and Guizhou). R. a. macrurus K. Andersen, 1905 - SE China (Jiangsu, Anhui, Zhejiang, Jiangxi, Fujian, Guangdong, Hong Kong, and Guangxi), S Myanmar, Thailand, Laos, and Vietnam (including Dao Tra Ban and Phu Quoc Is); possibly also Cambodia. R. a. nesites K. Andersen, 1905 - Borneo (including Laut, Sebuku, and Laut Kecil Is) and Anamba and Natuna Is. R. a. princeps K. Andersen, 1905 — Kangean (Kangean and Sepanjang Is), Lombok, Sumbawa, Flores, and Sumba Is. A morphologically distinct subspecies (still unnamed) is known from E Myanmar and N Vietnam.
Subspecies and Distribution. R.p. pusillus Temminck, 1834 - N Sumatra, N, E & S Borneo (including Banggi I), W Java, and Bali I. R. p. blythi K. Andersen, 1918 - N India (Uttarakhand, Sikkim, West Bengal, Assam, Meghalaya, and Arunachal Pradesh), Nepal, Bhutan, and SE Bangladesh. R.p. calidusG. M. Allen, 1923-SE China (Guizhou, Guangxi, Guangdong, and Fujian, along with a recent record from Beijing area that may represent this subspecies). R. p. gracilis K. Andersen, 1905 - S India (Andhra Pradesh, Karnataka, Kerala, and Tamil Nadu). R.p. lakkhanae Yoshiyuki, 1990 - S China (Yunnan), Thailand, Laos, Vietnam (including Cat Ba I), Cambodia, and Peninsular Malaysia (including Tioman I). R.p. minutillusG. S. Miller, 1906 —Anambas Is (Siantan). R.p. pagi Tate & Archbold, 1939 — Mentawai Is (North Pagai). R.p. parcus G. M. Allen, 1928 - Hainan I, China. R. p. szechwanus K Andersen, 1918 - Myanmar and C China (Sichuan, Guizhou, Hubei, and probably Yunnan). in Rhinolophidae
Subspecies and Distribution. R.p. pusillus Temminck, 1834 - N Sumatra, N, E & S Borneo (including Banggi I), W Java, and Bali I. R. p. blythi K. Andersen, 1918 - N India (Uttarakhand, Sikkim, West Bengal, Assam, Meghalaya, and Arunachal Pradesh), Nepal, Bhutan, and SE Bangladesh. R.p. calidusG. M. Allen, 1923-SE China (Guizhou, Guangxi, Guangdong, and Fujian, along with a recent record from Beijing area that may represent this subspecies). R. p. gracilis K. Andersen, 1905 - S India (Andhra Pradesh, Karnataka, Kerala, and Tamil Nadu). R.p. lakkhanae Yoshiyuki, 1990 - S China (Yunnan), Thailand, Laos, Vietnam (including Cat Ba I), Cambodia, and Peninsular Malaysia (including Tioman I). R.p. minutillusG. S. Miller, 1906 —Anambas Is (Siantan). R.p. pagi Tate & Archbold, 1939 — Mentawai Is (North Pagai). R.p. parcus G. M. Allen, 1928 - Hainan I, China. R. p. szechwanus K Andersen, 1918 - Myanmar and C China (Sichuan, Guizhou, Hubei, and probably Yunnan).
Data from: Genetics, morphology and ecology reveal a cryptic pika lineage in the Sikkim Himalaya
Asian pika species are morphologically ∼similar and have overlapping ranges. This leads to uncertainty and species misidentification in the field. Phylogenetic analyses of such misidentified samples leads to taxonomic ambiguity. The ecology of many pika species remains understudied, particularly in the Himalaya, where sympatric species could be separated by elevation and/or substrate. We sampled, measured, and acquired genetic data from pikas in the Sikkim Himalaya. Our analyses revealed a cryptic lineage, Ochotona sikimaria, previously reported as a subspecies of O. thibetana. The results support the elevation of this lineage to the species level, as it is genetically divergent from O. thibetana, as well as sister species, O. cansus (endemic to central China) and O. curzoniae (endemic to the Tibetan plateau). The Sikkim lineage diverged from its sister species' about 1.7–0.8 myr ago, coincident with uplift events in the Himalaya. Our results add to the recent spate of cryptic diversity identified from the eastern Himalaya and highlight the need for further study within the Ochotonidae.
Subspecies and Distribution. A. f. fulgens Cuvier, 1825 — E Himalayas in Bhutan, India, Nepal, Sikkim; China (S & SE Xizang & NW Yunnan), NE India (Meghalaya), and N Myanmar. A. f. styani Thomas, 1902 — China (W Sichuan & N Yunnan). in Ailuridae
Subspecies and Distribution. A. f. fulgens Cuvier, 1825 — E Himalayas in Bhutan, India, Nepal, Sikkim; China (S & SE Xizang & NW Yunnan), NE India (Meghalaya), and N Myanmar. A. f. styani Thomas, 1902 — China (W Sichuan & N Yunnan).
Distribution. Known from the southern slopes of Himalayas in N India (including Sikkim), Nepal, and Bhutan. in Moschidae
Distribution. Known from the southern slopes of Himalayas in N India (including Sikkim), Nepal, and Bhutan.
Subspecies and Distribution. E.k.kiangMoorcroft,1841—WChina(SWXinjiang,C&WXizang),NEPakistan(KhunjerabNationalPark),NIndia(Ladakh),andNNepal(Mustang). E.k.holderersMatschie,1911—WCChina(SEXinjiang,Quinghai,Gansu&EXizang). E. k. polyodon Hodgson, 1847 — SW China (S Xizang) and N India (N Sikkim); also possibly in extreme N & NW Bhutan. in Equidae
Subspecies and Distribution. E.k.kiangMoorcroft,1841—WChina(SWXinjiang,C&WXizang),NEPakistan(KhunjerabNationalPark),NIndia(Ladakh),andNNepal(Mustang). E.k.holderersMatschie,1911—WCChina(SEXinjiang,Quinghai,Gansu&EXizang). E. k. polyodon Hodgson, 1847 — SW China (S Xizang) and N India (N Sikkim); also possibly in extreme N & NW Bhutan.
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.