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496 results for “Tibetan Plateau”
Figure 3 in A new species of crown-antlered deer Stephanocemas (Artiodactyla, Cervidae) from the middle Miocene of Qaidam Basin, northern Tibetan Plateau, China, and a preliminary evaluation of its phylogeny
Figure 3. Stereophoto of dorsal view of IVPP V15722, left antler without pedicel, holotype of Stephanocemas palmatus sp. nov. from Qaidam Basin, northern Tibetan Plateau. Top is posterior and bottom is anterior.
Figure 2 in A new species of crown-antlered deer Stephanocemas (Artiodactyla, Cervidae) from the middle Miocene of Qaidam Basin, northern Tibetan Plateau, China, and a preliminary evaluation of its phylogeny
Figure 2. Satellite image of the Barun Yawula anticline, with key fossil localities and their relative stratigraphical positions indicated. The east–west trending fold is asymmetrical with the south limb dipping more steeply than the north limb. A prominent resistant bed (a dark–light band combination, indicated by black dashed lines) within the rusty green sandstones layers helps to trace stratigraphical relationships between localities in eastern and western ends of the anticline, although multiple faults (with offsets ranging from 50 to 500 m), particularly those in the eastern end, complicate correlations. White lines are the measured section.
Frictional properties of natural granite fault gouge under hydrothermal conditions: A case study of strike-slip fault from Anninghe Fault zone, southeastern Tibetan Plateau
<p>We performed friction experiments on natural granite gouge under hydrothermal conditions to investigate roles of the Anninghe Fault (ANHF) on seismogenesis in the continental crust. In this dataset, we report processed data after correction. Detailed information about the files in the zip-files is given in the explanatory file Lei-et-al-2023-Data-Description.pdf.</p>
FIG. 2. — Sporoschisma lignicola R.J in Two new freshwater hyphomycetous species of Sporoschisma Berk. & Broome (Chaetosphaeriales) from Tibetan Plateau, China
FIG. 2. — Sporoschisma lignicola R.J.Xu & Q.Zhao, sp. nov. (holotype, HKAS 129208): A, colonies on substrate; B, D, conidiophores with conidia; C, conidiophores with setae; E-G, conidia; H, conidiogenous cell; I, culture on PDA. Scale bars: B-D, 50 μm; E-H, 20 μm.
FIG. 1 in Two new freshwater hyphomycetous species of Sporoschisma Berk. & Broome (Chaetosphaeriales) from Tibetan Plateau, China
FIG. 1. — RAxML tree based on analysis of combined ITS, LSU and TEF1-α sequences. Bootstrap support values for maximum likelihood (ML) equal to or greater than 75% were given above the nodes (left). Bayesian posterior probability (PP) equal to or greater than 0.95 were given above the nodes (right) and hyphen (-) were marked as values below 0.95. The tree was rooted to Adautomilanezia caesalpiniae LAMIC 010212. The type strains were shown in bold, and the newly generated isolates were shown in red.
FIG. 3. — Sporoschisma verruculosa R.J in Two new freshwater hyphomycetous species of Sporoschisma Berk. & Broome (Chaetosphaeriales) from Tibetan Plateau, China
FIG. 3. — Sporoschisma verruculosa R.J.Xu & Q.Zhao, sp. nov. (holotype, HKAS 129210): A, B, colony on wood with long conidia chains; C, D, conidiophores with setae; E, conidiophores with conidia; F, G, conidiogenous cell with a conidium; H-M, conidia; N, culture on PDA. Scale bars: C-E, 50 μm; F-M, 20 μm.
Figures 1 in Biogeographical affinities and evolution of terrestrial fauna in the Qinghai-Tibetan Plateau and the Himalayas: a case study of Aphidomorpha
Figures 1. Generalized tracks and nodes based on the global distributions of aphid species in the QTPH. Generalized tracks are indicated by colored lines, and nodes are indicated with orange dots. A generalized track is a summary of replicated distribution patterns of different taxa (species); a node is a distribution area where two or more generalized tracks intersect. Generalized tracks and nodes together indicate biogeographical affinities between aphid faunas in the QTPH and other regions.
Figures 11–18 in Two new species of Eryciini (Diptera: Tachinidae) from the Eastern edge of the Qinghai-Tibetan Plateau, China
Figures 11–18. Lydella gannanensis sp. nov., male. 11–12. Body in dorsal and lateral views. 13–14. Head in anterior and lateral views. 15. Sternite 5. 16–17. Cerci, surstyli and epandrium in lateral and caudal views. 18. Bacilliform sclerite, ejaculatory apodeme, hypandrium, phallapodeme, pregonite, postgonite, basiphallus, distiphallus, epiphphallus, and acrophallus in lateral view. Scale bars: 11–14 = 1.0 mm, 15–18 = 0.2 mm.
Figures 1–8 in Two new species of Eryciini (Diptera: Tachinidae) from the Eastern edge of the Qinghai-Tibetan Plateau, China
Figures 1–8. Drino latifrons sp. nov., male. 1–2. Body in dorsal and lateral views. 3–4. Head in anterior and lateral views. 5. Sternite 5. 6. Bacilliform sclerite, ejaculatory apodeme, hypandrium, phallapodeme, pregonite, postgonite, basiphallus, distiphallus, epiphphallus, and acrophallus in lateral view. 7–8. Cerci, surstyli and epandrium in lateral and caudal views. Scale bars: 1–4 = 1.0 mm, 5–8 = 0.2 mm.
The predication of soil nematode and functional groups abundance in the terrestrial on the Tibetan Plateau (Data Set)
<p>This is the dataset which is generated from the manuscript entitled 'The predication of soil nematode and functional groups abundance in the terrestrial on the Tibetan Plateau'.</p> <p>The spatial resolution of this dataset is about 1 km, of which coordinates systems is WGS84.</p> <p>There are 6 layers of nematode abundance in this GeoTiff file:</p> <p>1. abd - Total Soil Nematode Abundance</p> <p>2. bact - Abundance of bacterivores</p> <p>3. fung - Abundance of fungivores</p> <p>4. herb - Abundance of plant parasite</p> <p>5. omni - Abundance of omnivores</p> <p>6. pred - Abundance of predators</p>
Large surface-rupture gaps and low surface fault slip of the 2021 Mw 7.4 Maduo earthquake along a low-activity strike-slip fault, Tibetan Plateau
<p>In this data set, Text S1 describes methods of (i) field investigation, UAV image collection and interpretation and (ii) horizontal and vertical displacement measurements. Figure S3 shows pre-event topographic expressions of the Maduo earthquake fault. Tables S1 and S2 provide measurement results of horizontal and vertical displacements, respectively. Datasets 1-4 provide the UAV flight swath, interpreted surface ruptures and secondary cracks, horizontal displacements and vertical displacements.</p>
An integrated dataset of daily lake surface water temperature over Tibetan Plateau
<p>A dataset for daily surface temperature of 160 lakes over Tibetan Plateau for period from 1978 to 2017. The new dataset was developed based on combination of remote sensing (MODIS) and model (slightly modified <em>air2water </em>model).</p>
Supplementary data to: Climate change threatens terrestrial water storage over the Tibetan Plateau
<p>This data archive includes the boundary of the Tibetan Plateau (TP) and river basins, and projected changes in terrestrial water storage by the mid-21<sup>st</sup> century (up to 2060). The boundary of the TP and river basins is in the shapefile (.shp) format, and all other processed data are in the geotiff (.tif) format. Please see Readme for more data information. For calculation details please see the publication.</p>
Supplementary files: A Comparative Study of Active Rock Glaciers Mapped from Geomorphic- and Kinematic-Based Approaches in Daxue Shan, Southeast Tibetan Plateau
<p>Supplement of "A Comparative Study of Active Rock Glaciers Mapped from Geomorphic- and Kinematic-Based Approaches in Daxue Shan, Southeast Tibetan Plateau". The supplementary files provide the outlines and parameters of the rock glaciers inventoried by InSAR-assist kinematic-based approach in the Daxue Shan, Southeast Tibet Plateau. </p> <p>Based on the Sentinel-1A ascending SAR images acquired between 2015 and 2019, we derived a five-year-long LOS mean velocity map of the study area. We then compiled a rock glacier inventory by synergistically interpreting the InSAR-derived surface displacements and geomorphic features based on Google Earth images.</p>
Dataset - Warming-induced monsoon precipitation phase change intensifies glacier mass loss in the southeastern Tibetan Plateau
<p>Materials and data results needed to reproduce the findings of the study published in (PNAS) Proceedings of the National Academy of Sciences of the United States of America:</p> <p>"<em>Warming-induced monsoon precipitation phase change intensifies glacier mass loss in the southeastern Tibetan Plateau"</em>. A. Jouberton, T. E. Shaw, E. Miles, M. McCarthy, S. Fugger, S. Ren, A. Dehecq, W. Yang and F. Pellicciotti</p> <p>It includes the meteorological forcing time-series, an exhaustive list of the model parameters, the outputs of TOPKAPI-ETH, and Matlab scripts allowing to reproduce the figures and compute the numbers given in the main manuscript as well as in the Supplementary Information.</p> <p>---------------</p> <p><strong>Contents</strong> :</p> <p>Folder : "Matlab_scripts"<br> '<strong>Climate_import.m</strong>' : Organizes meteorological forcing and generates Figure S9<br> <strong> 'TOPKAPI_result_import.m' :</strong> Imports TOPKAPI's reference run outputs and prepares them for analysis<br> <strong> 'Experiment_analysis.m' : </strong>Analyses the results of the forcing experiments, generates Figure 4 and Figure S25<br> <strong> 'Main_text_results.m' : </strong>Analyses the results of TOPKAPI's reference runs, generates Figure 1D, FIgure 2 and Figure 3<br> <strong> 'TOPKAPI_validation.m' : </strong>Compares TOPKAPI's reference run results with several validation datasets, generates the figures and performance metrics of the model calibration and validation procedure.<br> <strong> 'Parlung_albedo_regional_analysis.m'</strong>: Computes the mean glacier albedo per elevation band for each glacier within the Southeastern Tibean Plateau and compares it to the albedo of Parlung No.4 glacier.<br> <strong> 'Parlung_GMB_regional_analysis.m'</strong>: Computes the mean glacier mass balance per elevation band for each glacier within the Southeastern Tibean Plateau and compares it to the glacier mass balance of Parlung No.4 glacier.<br> <strong> 'Precipitation_phase_sensitivity_analysis.m'</strong>: Performs a sensitivity analysis on the simulated monsoon snowfall ratio per elevation band and on the attribution of glacier mass loss to precipitation<br> phase change using Monte Carlo simulations.<br> <strong> 'TOPKAPI_MODIS_validation.m'</strong>: Compares the snow cover at Parlung No.4 catchment simulated by TOPKAPI-ETH and observed by MODIS, generates Figure S19.</p> <p> </p> <p>Folder : "Remote_sensing" :</p> <p> Sub-Folder: 'Hugonnet' = Glacier mass balance averaged over 2000-2020 covering the Southeastern Tibetan Plateau, 100m resolution, derived from Hugonnet et al. 2021<br> Sub-Folder: 'MODIS' = contains the snow cover at Parlung No.4 derived from the daily product MOD10A1 version 61, for the period 2000-2018<br> Sub-Folder: 'Regional_glacier_albedo' = contains the annual glacier surface albedo from 2000 to 2020, covering the Southeastern Tibetan Plateau, 500m resolution.<br> Sub-Folder: 'Shapefiles' = contains the Parlung No.4 glacier outlines in 1974 and from the RGI 6.0<br> <strong>'ASTER_Nyainqentanglha_15m_utm.tif'</strong> = ASTER Digital elevation model at 15m resolution covering the Southeastern Tibetan Plateau<br> <strong> 'parlung_mask_1974.mat' </strong>= Parlung No.4 glacier mask as a matlab file<br> <strong> 'dh_ASTER_SRTM_30m.tif' </strong>= Mean elevation change rate from 2000 to 2016 at Parlung No.4 catchment.<br> <strong> 'Geodetic_map.mat'</strong> = Elevation change maps for the periods 1974-2000 and 1974-2014, as a matlab file<br> <strong> 'GMB_geodetic.mat' </strong>= Geodetic mass balance (glacier-wide mean and profile per elevation band) used in Figure S13<br> <strong> 'parlung_30m_catchment_mask.tif'</strong> = Parlung No.4 catchment mask<br> <strong>'parlung_1974_30m_dem.tif' </strong>= DEM of Parlung No.4 catchment, 30 m resolution<br> <strong> 'parlung_1974_30m_gla.tif'</strong> = Parlung No. 4 glacier mask, 30m resolution<br> <strong>'parlung_1974_30m_glah.tif' </strong>= Reconstructed ice thickness of 1975 for Parlung No.4 glacier<br> <strong>'parlung_1974_2000_diff_24m.tif' </strong>= Elevation change from DEM differencing at Parlung No.4 catchment for 1974-2000<br> <strong> 'parlung_1974_2014_diff_24m.tif' </strong>= Elevation change from DEM differencing at Parlung No.4 catchment for 1974-2014<br> <strong> 'Parlung_1974_bedrock_dem_30m.tif' </strong>= Bedrock surface digital elevation model of the catchment, 30m spatial resolution<br> <strong>'RGI_KangriKarpo_100m_utm_id.tif' </strong>= Glacier mask covering the Kangri Karpo mountain region, 100m resolution, with glacier IDs in the attribute table<br> <strong> 'RGI_Nyainqentanglha_100m_utm_id.tif' </strong>= = Glacier mask covering the Southeastern Tibetan Plateau, 100m resolution, with glacier IDs in the attribute table</p> <p> </p> <p>Folder : "TOPKAPI_forcing" :<br> <strong> CCT_AWS4600_extended.csv : </strong>Hourly cloud cover transmissivity from 1975 to 2018 reconstructed at AWSoff location <br> <strong> Climate.mat : </strong>Organizes meteorological forcings, output from the matlab script '<strong>Climate_import.m</strong>'<br> <strong> LR_AWS4600_extended.csv :</strong> Hourly temperature lapse-rates from 1975 to 2018 reconstructed at AWSoff location <br> <strong> Precipitation_AWS4600_extended.csv : </strong>Hourly precipitation from 1975 to 2018 reconstructed at AWSoff location <br> <strong> Ta_AWS4600_extended.csv :</strong> Hourly air temperature from 1975 to 2018 reconstructed at AWSoff location<br> Sub-Folder: 'National_meteorological_stations' = Contains the daily air temperature and precipitation measured at the national meteorological stations of Bomi, Zayu, Zuogong and Basu<br> Sub-Folder: 'Reference_run_inputs' = Contains the input files necessary to run TOPKAPI-ETH to obtain the outputs from which the results of this study are based on.</p> <p> </p> <p>Folder : "TOPKAPI_output":<br> <strong> </strong> Sub-Folder : "Forcing experiment" = organized TOPKAPI outputs from the forcing experiment<br> Sub-Folder :" Reference_run_outputs" = raw TOPKAPI outputs from the reference run (catchment average, spatial and grid cells)<br> Sub-Folder : "Reference_run_results" = organized TOPKAPI outputs from the reference run<br> Sub-Folder : "Snow_ice_cover" = contains TOPKAPI-ETH derived snow cover maps (daily map outputs)<br> Sub-Folder : "Regional_analysis" =<br> 'Alb'= Table containing the mean glacier albedo (2000-2020) per normalized elevation band, for each glacier in the SETP (RGI 6.0)<br> 'GMB'= Table containing the mean glacier mass balance (2000-2020) per normalized elevation band, for each glacier in the SETP (RGI 6.0)<br> 'Hypso_xxm' = Table containing the percentage of glacier area per normalized elevation band, for each glacier in the SETP (RGI 6.0), resolution of 100/500m<br> 'NormEl_100m' = Table containing the elevation per normalized elevation band, for each glacier in the SETP (RGI 6.0), resolution of 100/500m<br> Sub-Folder : "Semi_distributed_outputs" = Precipitation phase and amounts resulting from TOPKAPI-ETH simulation per elevation band, for the reference run and for the Monte Carlo sensitivity analysis</p> <p> </p> <p>Folder : "Validation_data"<br> <strong> 'topkapi.out_reference_discharge2016' </strong>= <strong> </strong>raw TOPKAPI outputs run in 2016 with AWSoff air temperature<br> <strong> </strong><strong> 'master_file_parlung.mat' </strong>=<strong> </strong>matlab structure containing AWS measurements, necessary for running <strong>'TOPKAPI_validation.m'</strong><br> <strong> 'Qdigit.mat' </strong>= Discharge measured at the Parlung No.4 glacier outlet, from Li et al., (2016)<br> <strong> 'Parlung_Q_1970.mat'</strong> = 'Discharge time-series used to run TOPKAPI-ETH (goes back to 1975, but filled with 0 when no measurements are available)</p> <p> </p> <p>In order to run the Matlab scripts, it is recommended to download all folders and gather them into the same folder. Any request about data or questions on how to run the Matlab scripts can be asked to the author of the paper (at achille.jouberton@wsl.ch).</p>
Lake area and volume variation data in the endorheic basin of the Tibetan Plateau from 1989 to 2019
<p>The Tibetan Plateau, known as the third pole of the Earth, is a region susceptible to climate change. With little human disturbance, lake storage changes serve as a unique indicator of climate change, but comprehensive lake area and volume data are rare in the region, especially for the lakes with an area less than 10 km<sup>2</sup> which are the most sensitive to environmental changes. In this dataset, we completed a census of annual lake area and volume change for 976 lakes larger than 1 km<sup>2</sup> in the endorheic basin of the Tibetan Plateau (EBTP) during 1989-2019 using Landsat imagery and digital terrain models. This dataset contains the lake extents shapefile containing the annual area and relative volume data from 1989 to 2019 for each lake. Besides, the lake seeds we used to calculate the relative lake volume are also published. <br> </p>
Fig. 2 in Description of a gynander of Colletes hedini (Hymenoptera: Colletidae) from the Qinghai-Tibetan Plateau, China: the first record of gynandromorphism for the genus after 30 years
Fig. 2. Meso- and metatibiae, anterior view, of the gynander of Colletes hedini. A – male-like tibia on the right side; B – female-like tibia on the left side. Scale bars – 1 mm.
FIGURE 4 in New fossil representative of the genus Helius (Diptera, Limoniidae) from the little known and newly discovered locality Caergen Village of northeastern Tibetan Plateau (China)
FIGURE 4. Helius (Helius) qinghai n. sp., drawings of the holotype No. CNU-DIP-QZ2017001; 1 – head, 2 – male genitalia, 3 – relation between the length of palpi (p), antenna (a) and rostrum, 4 – wing (a – antenna, fl – flagellomeres, g – gonocoxite, ing – inner gonostylus, oug – outer gonostylus, p – pedicel, pl – palpi, r – rostrum, scp – scapus, t – tergite) (drawings by W. Krzemiński).
FIGURE 3 in New fossil representative of the genus Helius (Diptera, Limoniidae) from the little known and newly discovered locality Caergen Village of northeastern Tibetan Plateau (China)
FIGURE 3. Helius (Helius) qinghai n. sp., photography of the holotype No. CNU-DIP-QZ2017001; 1 – body, 2 – male genitalia, 3 – head, 4 – left wing (photo by Siyuan Wu).
FIGURE 2 in New fossil representative of the genus Helius (Diptera, Limoniidae) from the little known and newly discovered locality Caergen Village of northeastern Tibetan Plateau (China)
FIGURE 2. Vegetation surrounding Caergen Village and outcrops of the fossiliferous strata. Red mark is the fossil collection location, photo 24 Jul 2015.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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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.