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496 results for “Tibetan Plateau”
Monthly 30-m Surface Water Dataset of the Tibetan Plateau from 2000 to 2021
<p>This repository contains the relevant data for the paper <strong>Monthly 30-m Surface Water Dataset of the Tibetan Plateau from 2000 to 2021</strong></p> <p>T<span>he reconstructed Tibetan Plateau monthly water history dataset from 2000 to 2021 is stored in the file “TP2000_2021_MonthlyWaterHistory_afterSGF.zip.” This collection includes 264 GeoTIFF images, each viewable in QGIS software. The images use the EPSG: 4326-WGS84 Coordinate Reference System, with each image comprising a grid of 136,036 × 51,976 pixels at a 30-meter resolution, classifying each pixel as either water or non-water. Validation data obtained via stratified random sampling are provided in the file “TP_validation_samples.csv,” which contains 12,141 random samples. For each sample, the file includes the sample coordinates, Google Earth high-resolution image acquisition date, actual classifications by visual interpretation, and dataset classification results</span><span><span>.</span></span></p>
Does land use age influence carbon cycling in the Tibetan Plateau?
<p>Although substantial information had been generated on the effects of land use change on soil organic carbon (SOC) and total nitrogen (TN) storage, studies are absent on multifactorial effects of land use types, land use age, and elevation on SOC and TN storage. SOC and TN were therefore investigated in 30 field sites comprising natural forests, planted forests, shrub, and grasslands. SOC and TN stocks differed and correlated significantly with land use age; the C stocks correlates significantly with land use change compared the TN stocks. However, there was no relation between the C and N stocks with elevation, implying that SOC and TN are solely dependent on land use age. SOC sequestration potentials of the sampled ecosystems were 345.86, 293.19, 266.45, and 251.23 t ha<sup>−1</sup> for the natural forests, planted forests, shrub, and grasslands with total mean value of 289.18 t·ha<sup>−1</sup> (1,060.42 t·ha<sup>−1</sup> CO<sub>2−</sub>eq). A significant SOC stock loss (17.96%, 29.80%, and 37.66%) occurred in converting natural forests to planted forests, shrub, and grasslands, whereas gains (27.36%, 14.31%, and 5.71%) would occur in reconverting grassland to natural forests, planted forests, and shrublands. Therefore, the C that was lost during deforestation and conversion of natural forests into other land use types could not match the carbon gains thereafter. Our results suggest that land use change and land use age have influenced soil C and N stocks. Moreover, natural forests are better in ecological conservation and restoration of degraded lands. This study provides baseline information for C and N management in ecologically restored and degraded lands.</p>
Database for Towards ice thickness inversion: an evaluation of global DEMs in the glacierized Tibetan Plateau
<p>x, latitude of ICESat-2 point</p> <p>y, longitute of ICESat-2 point</p> <p>icesat-2, elevation from icesat-2</p> <p>sigma-icesat-2, error of elevation from icesat-2</p> <p>date-icesat2, acquiring date of icesat-2 point</p> <p>dhdx, along track slope of icesat-2 data</p> <p>dhdx_sigma, error of along track slope of icesat-2 data</p> <p>elevation range min, the minimum elevation of glaciers where icesat-2 data is located</p> <p>elevation range med, the median elevation of glaciers where icesat-2 data is located</p> <p>elevation range max, the maximum elevation of glaciers where icesat-2 data is located</p> <p>dh, glacier surface elevation change from Shean et al. (2020)</p> <p>aw3d30, elevation from aw3d30 in EGM96 geoid</p> <p>srtmgl1, elevation from srtmgl1 in EGM96 geoid</p> <p>tandem, elevation from TanDEM-X in WGS84 ellipsoid</p> <p>srtmv41, elevation from srtmv41 in EGM96 geoid</p> <p>nasadem, elevation from NASADEM in WGS84 ellipsoid</p> <p>merit, elevation from merit in EGM96 geoid</p> <p>aw3d30slp, slope from aw3d30</p> <p>srtmgl1slp, slope from srtmgl1</p> <p>tandemslp, slope from tandem</p> <p>srtmv41slp, slope from srtmv41</p> <p>nasademslp, slope from nasadem</p> <p>meritslp, slope from merit</p> <p>aw3d30asp, aspect from aw3d30</p> <p>srtmgl1asp, aspect from srtmgl1</p> <p>tandemasp, aspect from tandem</p> <p>srtmv41asp, aspect from srtmv41</p> <p>nasademasp, aspect from nasadem</p> <p>meritasp, aspect from merit</p> <p>The elevation should be <strong>converted</strong> using geoidheight function in MATLAB</p> <p> </p> <p> </p> <p> </p>
Hydroclimate of the Tibetan Plateau and Central Asia during the Late Cenozoic
<p>These repository data contain netcdf files for each of the four high-resolution (~0.75° per grid cell) general circulation model (GCM) ECHAM-5 experiments with boundary conditions for the mid-Pliocene (~3 Ma; ECHAM5_PLIO_1d_aprl_aprc_q_v_u_Asia.nc), the Last Glacial Maximum (LGM; ~21 ka; ECHAM5_LGM_1d_aprl_aprc_q_v_u_Asia.nc), the mid-Holocene (~6 ka; ECHAM5_MH_1d_aprl_aprc_q_v_u_Asia.nc), and the pre-industrial (ECHAM5_PI_1d_aprl_aprc_q_v_u_Asia.nc). Each file contains 3D fields of specific humidity and winds, as well as precipitation (large-scale and convective) for Asian region. </p>
Supporting information for "Thermal alteration history of Fenghuoshan Group, Hoh Xil Basin, northern Tibetan Plateau: Insights from clumped isotope thermometry"
<p>The supporting information includes raw isotopic analysis data for "Thermal alteration history of Fenghuoshan Group, Hoh Xil Basin, northern Tibetan Plateau: Insights from clumped isotope thermometry" by Kong et al.</p>
daleihao/Topographic_Effects: Codes and data for GMD paper "A Parameterization of Sub-grid Topographical Effects on Solar Radiation in the E3SM Land Model (Version 1.0): Implementation and Evaluation Over the Tibetan Plateau"
<p>Codes and data to reproduce all results and plot all figures for GMD paper "A Parameterization of Sub-grid Topographical Effects on Solar Radiation in the E3SM Land Model (Version 1.0): Implementation and Evaluation Over the Tibetan Plateau"</p>
In-depth study of the formation processes of single atmospheric particles in the southeastern margin of Tibetan Plateau
<p>The Tibetan Plateau (TP) is the most sensitive and obvious indicator of climate change in the entire Asian continent, however, real-time observations on the characteristics of full aerosol compositions are still limited within the plateau, which hinders our comprehensively understanding of the distribution characteristics and formation mechanism of aerosols in high-altitude regions. In this study, a single particle aerosol mass spectrometer was deployed to investigate the highly time resolved chemical components and atmospheric processing on the size distribution and mixing state of individual particles in the southeastern margin of the TP during the pre-monsoon season.</p>
The UAV-derived orthomosaics and DEMs of 23K Glacier and 24K Glacier in southeastern Tibetan Plateau (2019-2020)
<p>The UAV-derived orthomosaics and DEMs of 23K Glacier and 24K Glacier in southeastern Tibetan Plateau (Agu. 2019, Oct. 2019, Agu. 2020, Oct. 2020). </p>
Tibetan Plateau increases the snowfall in southern China: a refutation to some trending views
<p>Data for figures in "Tibetan Plateau increases the snowfall in southern China: a refutation to some trending views"</p>
CESM experiments for "Oceanic repeaters boost the global climatic impact of the Tibetan Plateau"
<p>This dataset is the outputs and codes of CESM experiments performed by the authors for their study titled, "Oceanic repeaters boost the global climatic impact of the Tibetan Plateau", which was submitted to Science Bulletin. There were six CESM experiments, namely amip-hist, amip-TIP-nosh, amip-TIP-alb0.5, amip-TIP-sh0.5, cmip-hist, and cmip-TIP-sh0.5. The CESM model (version 2.1.3) was provided by NCAR/UCAR. In all the experiments, hist (historical) experiments were control runs, whereas the TIP (Tibetan–Iranian Plateau coupling system) -labeled experiments were sensitivity runs.</p>
Exome sequencing of a hybrid pine species complex on the Qinghai-Tibetan Plateau
<p>This study investigates the evolutionary history of <em>Pinus</em> <em>densata</em> on the Qinghai-Tibetan Plateau (QTP) and genomic heterogeneity across a zone of species transition to understand contemporary dynamics of selection and evolution of species barriers. We analyzed the genetic diversity in a range-wide collection of <em>P. densata</em> and representative populations of its progenitors <em>P. tabuliformis</em> and <em>P. yunnanensis</em> using 40,000 exome probe capture sequencing.</p>
Potential Impact of Winter–Spring North Atlantic Tripole SSTAs on the Following Autumn–Winter El Niño–Southern Oscillation: Bridging Role of the Tibetan Plateau
<p>This is the key model data of "Potential Impact of Winter–Spring North Atlantic Tripole SSTAs on the Following Autumn–Winter El Niño–Southern Oscillation: Bridging Role of the Tibetan Plateau". The data includes the last 25 years data of the CTRL experiment, and 25 years data of the CTRL_NTP experiment, the NA_ST experiment, and the NA_ST_NTP experiment, respectively. "2D" is two-dimensional variables , "3D" is three-dimensional variables, and "pottmp" is ocean potential temperature.</p>
Data of Energy mechanism of atmospheric boundary layer development over the Tibetan Plateau
<p>Processed data of Energy mechanism of atmospheric boundary layer development over the Tibetan Plateau</p>
Data set for "Tectonic evolution of the Tibetan Plateau during the late Cretaceous to early Eocene: Insights from geochemical records in the Fenghuoshan Group, Hoh Xil Basin"
<p>The mineral compositions, major and trace element gechemical data for the sediements from Fenghuoshan Group, Hoh Xil Basin.</p>
Dataset for "Discovery of a Geomorphological Analog to Martian Araneiforms in the Qaidam Basin, Tibetan Plateau"
<p>The numerical code and related data for the paper "Discovery of a Geomorphological Analog to Martian Araneiforms in the Qaidam Basin, Tibetan Plateau".</p>
Limited Northward Expansion of the Tibetan Plateau in the Late Cenozoic: Insights from the Cherchen Fault in the Southeastern Tarim Basin
<p>Supporting information submitted: Figure S1 to Figure S3</p> <p>Figures, captions, and introduction text are included in the uploaded file. </p>
A modern pollen dataset from lake surface sediments on the central-western Tibetan Plateau
<p>This is a modern pollen dataset on the central and western Tibetan Plateaubased on lake surface sediments of 90 lakes. The dataset includes pollen counts and pollen percentages for each lake sediment sample together with their locations (latitude, longitude and altitude) and climatic data. </p>
Data for: Water depth and transparency drive the quantity and quality of organic matter in sediments of Alpine lakes on the Tibetan Plateau
<p>The primary objectives of the study were to: (i) determine OM quantity and quality in the sediments of alpine lakes on the Tibetan Plateau, (ii) identify the primary environmental regulators of OM quantity and quality, and (iii) reveal OM transformations in the water column and sediments.</p> <p>Firstly, we collected sediments and lake water from 20 lakes with diverse morphology and sizes across the entire Tibetan Plateau.</p> <p>Secondly, We analyzed the bulk sedimentary OM and two leachable pools of the sedimentary OM, i.e., water-soluble OM and alkaline-extracted OM combining elemental and stable isotopic analysis, optical measurements (i.e., absorbance and fluorescence spectroscopy), and ultrahigh-resolution molecular techniques (i.e., electrospray ionization-assisted Fourier transform-ion cyclotron resonance mass spectrometry, ESI FT-ICR MS). We also measured the lake water physicochemical characteristics (i.e., depth, transparency, salinity, turbidity, DO, pH, TN, TP and Chl a), as well as the composition of dissolved OM in water column via optical measurements.</p> <p>Thirdly, we performed statistical analysis to determine the primary environmental control and predictors of the spatial variability in sedimentary OM on the Tibetan Plateau. The statistical analysis included non-parametric Kruskal-Wallis with Dunn post hoc test, redundancy analysis, and linear regression models.</p> <p>Main results of the study are that (i) sedimentary water-soluble OM and alkaline-extracted OM were both dominated by low-molecular-weight, low-aromaticity compounds with low contributions of terrestrial humic substances, suggesting that sedimentary leachable OM was primarily regulated by in-lake sources and processes; (ii) water depth, water transparency, and total phosphorus concentration in water column explained ~50% variance of sedimentary bulk and leachable OM, substantiating the importance of autochthonous sources and primary productivity in regulating the quantity and quality of sedimentary OM; (iii) in comparison to lake surface water DOM, water-soluble OM and alkaline-extracted OM from sediments had higher proportions of terrestrial humic-like substances, suggesting preferential preservation of allochthonous materials in the sediments.</p>
Dataset for Permafrost Thaw across the Tibetan Plateau
<p>This datasets include four directories, which are respectively:</p> <p>1. Historical Ta and P</p> <p>This directory includes the bias-corrected daily air temperature and precipitation data during 1980-2019 used as the input data for historical simulation. ERA5 reanalysis dataset is selected as the background field and quality-controlled observations at 97 meteorological stations within and surrounding the Tibetan Plateau have been used for bias correction.</p> <p>2. Permafrost Distribution</p> <p> The simulated historical permafrost distribution in 1980 and 2019, and the projected permafrost distribution in 2060 and 2100 respectively under SSP1-2.6, SSP2-4.5 and SSP5-8.5 in the Tibetan Plateau.</p> <p> 0: area without permafrost;</p> <p> 1: area underlain by permafrost without talik;</p> <p> 2: area underlain by permafrost with talik;</p> <p>3. Permafrost Table Depth</p> <p> The simulated spatial distribution of permafrost table depth in 1980 and 2019, and the projected spatial distribution of permafrost table depth in 2060 and 2100 respectively under SSP1-2.6, SSP2-4.5 and SSP5-8.5 in the Tibetan Plateau. For the area underlain by permafrost without talik, the permafrost table depth is equivalent to active layer thickness. The scope of near-surface permafrost is defined as the regions where permafrost table depth is less than 3 m, that is, permafrost exists in the top 3 m soil layer. (unit: m)</p> <p>4. TP Sub-region Scope</p> <p>A shape file for the scope of the 10 sub-regions in the Tibetan Plateau.</p>
Seasonal changes in lake area on the Tibetan Plateau
<p>This data is a novel set of monthly Tibetan lake area data set over 2015–2020 which are extracted from multi-source optical and SAR images. In addition, based on lake area and open accessed water level data, we provide lake water mass change data sets of those lakes with valid water level records.</p>
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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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.