Brief Introduction: Pan-third-polar environmental change and green silk road construction
Number of Datasets: 1199
This data set is based on the evaluation of existing land cover data and the evidence theory，including a 1:100,000 land use map for the year 20 2000、a 1:1,000,000 vegetation map、a 1:1,000,000 swamp-wetland map, a glacier map and a Moderate-Resolution Imaging Spectroradiometer land cover map for China in 2001 (MODIS2001) were merged，Finally, the decision is made based on the principle of maximum trust, and a new 1KM land cover data of China in 2000 with IGBP classification system is produced. The new land cover data not only maintain the overall accuracy of China's land use data, but also supplement the information of vegetation types and vegetation seasons in China's vegetation map, update China's wetland map, add the latest information of China's glacier map, and make the classification system more general.
2022-01-17 5509 278
This data set is a digital elevation model of the Tibetan Plateau and can be used to assist in analysis and research of basic geographic information for the Tibetan Plateau. The raw data were the Shuttle Radar Topography Mission (SRTM) data, which were provided by Global Land Cover Network (GLCN), and the raw data were framing data , using the WGS84 coordinate system, including latitude and longitude, with a spatial resolution of 3″. After the mosaic processing, the Nodata (null data) generated in the mosaic process were interpolated and filled. After filling, the projection conversion process was performed to generate data as Albers equal area conical projection. After the conversion projection, the spatial resolution of the data was 90 m. Finally, the boundary of the Tibetan Plateau was used for cutting to obtain DEM data. This data table has two fields. Field 1: value Data type: long integer Interpretation: altitude elevation Unit: m Field 2: count Data type: long integer Interpretation: The number of map spots corresponding to the altitude elevation Data accuracy: spatial resolution: 90 m
2022-01-11 3039 170
Photosynthetic effective radiation absorption coefficient photosynthetically active radiation component is an important biophysical parameter. It is an important land characteristic parameter of ecosystem function model, crop growth model, net primary productivity model, atmosphere model, biogeochemical model and ecological model, and is an ideal parameter for estimating vegetation biomass. The data set contains the data of photosynthetically active radiation absorption coefficient in Qinghai Tibet Plateau, with spatial resolution of 500m, temporal resolution of 8D, and time coverage of 2000, 2005, 2010 and 2015. The data source is MODIS Lai / FPAR product data mod15a2h (C6) on NASA website. The data are of great significance to the analysis of vegetation ecological environment in the Qinghai Tibet Plateau.
2021-12-17 3718 46
The Qinghai Tibet Plateau belongs to the plateau mountain climate. The temperature and its seasonal variation have been one of the hot spots in the global climate change research. The data includes the temperature data of Qinghai Tibet Plateau, with spatial resolution of 1km * 1km, temporal resolution of month and year, and time coverage of 2000, 2005, 2010 and 2015. The data are obtained by Kring interpolation on the data of national weather station in Qinghai Tibet Plateau. The data can be used to analyze the temporal and spatial distribution of air temperature in the Qinghai Tibet Plateau. In addition, the data can also be used to analyze the law of temperature change with time in the Qinghai Tibet Plateau, which is of great significance to the study of the ecological environment of the Qinghai Tibet Plateau.
2021-12-17 1774 107
The data set includes phenological camera observation data of Sidalong station of Lanzhou University cold and dry area scientific observation network in Heihe River Basin from February 3, 2020 to December 31, 2020. The longitude and latitude of observation points are 99.926e, 38.428n, and the altitude is 3146m. The data is processed by the software package independently developed by Beijing Normal University. The phenological camera collects data in a downward way with a resolution of 2592 * 1944, and the shooting time and frequency can be specified. For the calculation of greenness index phenology, we need to calculate the relative greenness index (GCC, green chromic coordinate formula is GCC = g / (R + G + b), R, G and B are the pixel values of red, green and blue channels of the image) according to the region of interest, and then fill in the invalid values and filter smoothing, finally determine the key phenology parameters according to the growth curve fitting, such as the start date of the growth season, the peak value of the growth season, the peak value of the growth season End date of growing season, etc; For the coverage, firstly, the data is preprocessed, and the image with low illumination is selected. Then, the image is divided into vegetation and soil, and the proportion of vegetation pixels in the calculation area of each image is calculated as the corresponding coverage of the image. After the extraction of time series data, the original coverage data is smoothed and filtered according to the time window specified by the user, The filtered result is the final time series coverage. This dataset includes relative greenness index (GCC). Photos before February 3 cannot be used due to equipment failure.
2021-12-01 530 87
The Randolph Glacier Inventory (RGI) is a complete inventory of global glacier outlines published by GLIMS (Global Land Ice Measurements from Space). It is currently available in six versions: Version 1.0 was published in February 2012, version 2.0 was published in June 2012, version 3.0 was published in April 2013, version 4.0 was published in December 2014, version 5.0 was published in July 2015, and version 6.0 was published in July 2017. The data sets include four versions, which are 6.0, 5.0, 4.0 and 3.2 (revision, August 2013). The data are organized according to different regions. In each region, each glacier record includes a shape file (.shp file and its corresponding .dbf, .prj, and .shx files) and a .csv file of height measurement data. The data are from GLIMS: Global Land Ice Measurements from Space (http://www.glims.org/RGI/) Data quality checks include geometry, topology, and certain attributes, and the following checks were performed: 1) All polygons were checked by the ArcGIS Repair Geometry tool. 2) Glaciers with areas less than 0.01 square kilometres were removed. 3) The topology was checked with the Does Not Overlap rule. 4) The attribute sheet was checked by Fortran subroutines and Python scripts for data quality.
2021-11-30 2319 303
"China's surface climate data daily value data set (V3.0)" contains 699 benchmarks and basic weather stations in China. Since January 1951, the station's air pressure, temperature, precipitation, evaporation, relative humidity, wind direction and wind speed, and sunshine hours. The number and the daily value data of the 0cm geothermal element. After the quality control of the data, the quality and integrity of each factor data from 1951 to 2010 is significantly improved compared with the similar data products released in the past. The actual rate of each factor data is generally above 99%, and the accuracy of the data is close. 100%. China Earth International Exchange Station Climate Data Daily Value Dataset (V3.0), mainly based on the ground-based meteorological data construction project archived "1951-2010 China National Ground Station data corrected monthly report data file (A0/A1/ A) The basic data set was developed. This data can provide a variety of basic drive data for other scientific research.
2021-11-30 13080 950
The gridded desertification risk data of Amu River Basin in 2018 was calculated based on the environmentally sensitive area index (ESAI) methodology. The ESAI approach incorporates soil, vegetation, climate and management quality and is one of the most widely used approaches for monitoring desertification risk. Based on the ESAI framework, fourteen indicators were chosen to consider four quality domains. Each quality index was calculated from several indicator parameters. The value of each parameter was categorized into several classes, the thresholds of which were determined according to previous studies. Then, sensitivity scores between 1 (lowest sensitivity) and 2 (highest sensitivity) were assigned to each class based on the importance of the class’ role in land sensitivity to desertification and the relationships of each class to the onset of the desertification process or irreversible degradation. A more comprehensive description of how the indicators are related to desertification risk and scores is provided in the studies of Kosmas (Kosmas et al., 2013; Kosmas et al., 1999). The main indicator datasets were acquired from the Harmonized World Soil Database of the Food and Agriculture Organization, Climate Change Initiative (CCI) land cover of the European Space Agency and NOAA’s Advanced Very High Resolution Radiometer (AVHRR) data. The raster datasets of all parameters were resampled to 500m and temporally assembled to the yearly values. Despite the difficulty of validating a composite index, two indirect validations of desertification risk were conducted according to the spatial and temporal comparison of ESAI values, including a quantitative analysis of the relationship between the ESAI and land use change between sparse vegetation and grasslands and a quantitative analysis of the relationship between the ESAI and net primary production (NPP). The verification results indicated that the desertification risk data is reliable in Amu River Basin in 2018.
2021-11-30 1888 62
The Qinghai Tibet Plateau belongs to the plateau mountain climate. The precipitation, its seasonal distribution and the change of precipitation forms have been one of the hot spots in the global climate change research. The data includes precipitation data of Qinghai Tibet Plateau, with spatial resolution of 1km * 1km, temporal resolution of month and year, and time coverage of 2000, 2005, 2010 and 2015. The data are obtained by Kring interpolation of meteorological data of National Meteorological Science Information Center. The data can be used to analyze the temporal and spatial distribution of precipitation over the Qinghai Tibet Plateau. In addition, the data can also be used to analyze the temporal and spatial variation of precipitation over the Qinghai Tibet Plateau, which is of great significance to the study of the ecological environment of the Qinghai Tibet Plateau.
2021-11-30 3723 218
The data set was obtained from UAV aerial photography during the field investigation of the Qinghai Tibet Plateau in August 2020. The data size is 10.1 GB, including more than 11600 aerial photos. The shooting sites mainly include Lhasa, Shannan, Shigatse and other areas along the road, residential areas and surrounding areas. The aerial photos mainly reflect the local land use / cover type, facility agriculture distribution, grassland coverage and other information. The aerial photos have longitude, latitude and altitude information, which can provide better verification information for land use / cover remote sensing interpretation, and can also be used for vegetation coverage estimation, and provide better reference information for land use research in the study area.
2021-11-30 2320 33
This data set includes land cover classification products of 30 meters in Qilian mountain area from 1985 to 2019. Firstly, the product uses Landsat-8/OLI to construct the 2015 time series data. According to the different NDVI time series curves of various ground features, the knowledge of different features is summarized, the rules are set to extract different features, and the land cover classification map in 2015 is obtained. The classification system refers to IGBP classification system and from_ LC classification system can be divided into 10 categories: cultivated land, woodland, grassland, shrub, wetland, water body, impervious surface, bare land, glacier and snow. According to the accuracy evaluation of Google Earth HD images and field survey data, the overall accuracy of land cover classification products in 2015 was as high as 92.19%. Based on the land cover classification products in 2015, based on the Landsat series data and strong geodetic data processing ability of Google Earth engine platform, the land cover classification products from 1985 to 2019 are produced by using the idea and method of change detection. By comparing the classification products, it is concluded that the land cover classification products based on Google Earth engine platform have good consistency with the classification products based on time series method. In short, the land cover data set in the core area of Qilian Mountain has high overall accuracy, and the method based on Google Earth engine platform sample training can expand the existing classification products in time and space, and can reflect more land cover type change information in a long time series.
2021-11-30 3026 502
This data set includes the distribution products of 30 m cultivated land and construction land in Qilian mountain area from 1985 to 2019. The product comes from the land cover classification products of 30m in Qilian mountain area from 1985 to 2019. NDVI products, light data products, DEM products and SAR data of sentry 1 are used in the production of the products. The total accuracy of the product is better than 85%. Among them, the peoducts from 1985-2015 have a 5 year- time resolution, and the other products have a 1 year - time resolution.
2021-11-30 2220 258
Taking villages and towns as the basic division unit, the division map of agricultural development in the Tibetan Plateau comprehensively considers climate, topography, vegetation type and coverage, land use type and proportion, distribution of nature reserves, key points of ecological protection and direction of agricultural development, puts forward the zoning scheme of agricultural and animal husbandry regulation for ecological protection in Qinghai Tibet Plateau, and divides the Qinghai Tibet Plateau into 8 areas (3 areas are based on ecological protection) The protection areas are the key limited control areas of agriculture and animal husbandry, 5 moderate development areas of agriculture and 23 small areas, and the zoning is named by the way of protection + development direction of agriculture and animal husbandry. The purpose of the zoning map is to develop agriculture and animal husbandry moderately on the basis of effective ecological protection, which can provide reference information for the protection of ecological security barrier function and sustainable management.
2021-11-30 2791 188
Hanging coffin burial is a kind of burial custom in which the coffin is placed on the cliff, cave and crevice. Hanging coffin burials are widely distributed in the Yangtze River Valley and the south of China, as well as in Southeast Asia and even the Pacific Islands. With the natural weathering and man-made destruction, there are fewer and fewer such relics. As a kind of peculiar and ancient archaeological cultural remains and funeral custom, hanging coffin culture has been widely concerned by archaeologists. Dating method: the wood samples on the hanging coffin were sent to beta analytical testing laboratory in Miami, USA for C14 determination. Methods: 4 in house NEC accelerator mass spectrometers (AMS) and 4 thermo IRMSS under strict chain of custom and quality control using ISO / IEC 17025:2005 testing accreditation pjla accreditation protocols Results: the dating results show that the earliest hanging coffin burial site is located in Wuyishan area of Fujian Province, 3600 years ago, which is equivalent to the Shang and Zhou dynasties in China. Wuyishan area in Fujian Province is considered to be the birthplace of the hanging coffin burial custom, which later spread to other areas in South China, Southeast Asia and the Pacific Islands. Located in the Jinsha River Valley of South Sichuan and Northeast Yunnan, the hanging coffin burial is the latest cultural remains of hanging coffin burial in mainland China (late Ming Dynasty), and also the West pole of the distribution of hanging coffin burial sites in China. There is a hanging coffin group in the mountainous area of Northwest Thailand, 2100-1200 years ago.
2021-11-30 657 71
Guided by the theory of plate tectonics, paleogeography, petroliferous basin analysis and sedimentary basin dynamics, we have collected a large number of data and achievements of geological research and petroleum geology in recent years, including strata, sedimentation, paleontology, paleogeography, paleoenvironment, paleoclimate, structure, oil and gas (potash) geology and other basic materials, especially paleomagnetism, Paleogene Based on the data of detrital zircon and geochemistry, combined with the results of typical measured stratigraphic sections, the lithofacies and climate paleogeographic pattern of Cretaceous were restored and reconstructed, and two lithofacies paleogeographic maps of early and late Cretaceous of Pan tertiary and two climate paleogeographic maps of early and late Cretaceous of Pan tertiary were obtained, aiming at discussing the influence of paleogeography, paleostructure and paleoclimate In order to reveal the geological conditions and resource distribution of oil and gas formation, and provide scientific basis and technical support for China's overseas and domestic oil and gas exploration deployment.
2021-11-30 1619 115
DNA was extracted from teeth or phalanx. Firstly, we conducted 2 hours UVirradiation on the samples, and removed a layer of surface using a sterile dentistry trill, then again irradiated with 1 hour UV-light on the samples. We drilled out ~80 mg of bone powder for every sample with the sterile dentistry trill, and only do 2 samples at one time (include following procedures until performing sequencing; samples from different archaeological sites were never handled together) to avoid potential individual cross-contamination. Using the 80 mg bone powder, we performed DNA extraction following the silica suspension protocol from an early report (Rohland and Hofreiter 2007), which was modified afterwards (Allentoft, et al. 2015) for customizing recovering of more shorter DNA fragments, that finally resulting a total of 100 μl aliquots for each sample. In brief, the bone powder was digested over night with proteinase K in 0.5M EDTA plus 10% N-Laurylsarcosyl suspension, then the released DNA was absorbed in solution which includes PB buffer, 5M sodium acetate, 5M sodium chloride and SiO2 suspension, and followed by three times of purification using 80% ethyl alcohol. Finally, after airing, the DNA was eluted with 100 μl EB buffer. Next, to perform preliminary aDNA preservation situation screening, using 20μl DNA aliquots of each sample, we built the double strand library (DSL) with no Uracil- DNA-Glycosylase (UDG) treatment under a single indexing with commercial kit (cat no: E7370) from New England Biolabs (Ipswich, MA) following the manufacturer’s guidelines, as previously reported (Meyer and Kircher 2010) that includes end prep, adaptor ligation, purification, PCR amplification and size selection steps. PCRs were conducted in a final volume of 50 μl using AmpliTaq Gold 360 DNA Polymerase (AmpliTaq Gold, Life Technologies Applied Biosystems) which is able to well amplify across uracils, preserve the DNA damage pattern that induced by deamination, which indicating of authentic aDNA (Krause, et al. 2010). We performed all the sequencing (also the following captured library sequencing) on the Illumina HiSeq X Ten (PE-150) platform ( https://www.illumina.com.cn/systems/sequencing-platforms/hiseq-x.html ). The calculated appraise indexes of aDNA quality and preservation are shown in Table S1. Lastly, we rebuilt the DSLs with 3 hours UDG treatment using the remaining DNA extraction aliquots, which could largely remove uracil residues from DNA fragmental end to leave abasic sites, and cuts the DNA at the 5´ and 3´ sides of the abasic sites with enzyme endonuclease VIII (Endo VIII). For these libraries, we performed the mtDNA capture using myBaits® Mito-Target Capture Kits as previous report (Enk, et al. 2014). Briefly, we used the biotinylated RNA “baits” that are transcribed from the human genomic DNA to perform the capture in solution overnight at 65°C, then mixed in streptavidin-coated magnetic beads and sequestered the targets with a magnetic stand. The PCRs for both pre-capture and post-capture are performed using KAPA HiFi Hot start Polymerase (KAPA BIOSYSTEMS).
2021-11-30 650 79
The complete mitochondrial DNA sequences of 41 human remains from 13 hanging coffin sites 2500-660 years ago in Weixin and Yanjin, Zhaotong, Yunnan, Huacun, Baise, Guangxi and bangmapa, Thailand were analyzed by using the ancient DNA analysis technique. They found that the maternal genetic diversity of the hanging coffin people in Northwest Yunnan was very high, while the genetic diversity of the hanging coffin people in northern Thailand was relatively low. This result is consistent with the view that the hanging coffin burial custom originated in southern China and spread southward to Southeast Asia. In addition, a small number of matrilineal lineages were shared among the hanging coffin people in different regions of Asia, indicating that there is a very close relationship between different hanging coffin people. Combining the results of genetic analysis with the evidences of archaeology, physical anthropology, folklore and history, they speculated that the hanging coffin burial custom originated in the Baiyue ethnic group in the southeast coastal areas of China (such as Wuyishan area) about 3600 years ago, and they are the ancestors of the Dai ethnic group with many ethnic groups. After that, the custom of hanging coffin was widely spread in South China by means of people migration and flow. However, about 2000 years ago (the earliest time of hanging coffin burial in Thailand), a very small number of inheritors of hanging coffin burial spread the custom to some aboriginal groups in Southeast Asia, such as northern Thailand, by means of cultural diffusion. This study only makes a preliminary discussion from the perspective of maternal genetic lineage. For the hanging coffin culture which has spread for more than 3000 years in South China, Southeast Asia and the vast area of the Pacific Islands, the origin and development of its culture and the history of its inheritors may be more complex. In the future, more representative samples of human remains buried in a hanging coffin will be used, from the perspective of genomic DNA and paternal Y-DNA, combined with interdisciplinary research, which will provide more systematic evidence support for a more comprehensive display of the historical and cultural features of the hanging coffin burial custom.
2021-11-30 665 74
The SRTM (Shuttle Radar Topography Mission) data were obtained from the Endeavour space shuttle jointly launched by NASA and NIMA in February 2000. The SRTM system on the Endeavour had been collecting data for 222 hours and 23 minutes. It covered more than 80% of the global land surface from 60° north latitude to 56° south Latitude, including the whole territory of China. The radar image data acquired by the program have been processed for more than two years to form a digital terrain elevation model. The raw data of this data set were downloaded from the SRTM data distribution website (http://srtm.csi.cgiar.org). For the convenience of using the data, based on the framing of STRM data, we use Erdas software to splice and prepare the STMR mosaic of the Tibetan Plateau. The accuracy is 30 meters, and the data are in geoTIFF format. The raw data of this data set was downloaded from the SRTM data distribution website (http://srtm.csi.cgiar.org). The SRTM data provides a file for each latitude and longitude square. There are two kinds of longitude files, which are 1 arc-second and 3 arc-second, denoted SRTM1 and SRTM3, or 30-m and 90-m data. This data set comprises SRTM3 data with a resolution of 90 m, and the version is SRTM V4.1 (GeoTIFF format).
2021-11-30 4111 143
The East Asian summer monsoon (EASM) and its variability involve circulation systems in both the tropics and midlatitudes as well as in both the lower and upper troposphere. Considering this fact, a new EASM index (NEWI) is proposed based on 200-hPa zonal wind, which takes into account wind anomalies in the southern (about 5°N), middle (about 20°N), and northern areas (about 35°N) of East Asia. NEWI = Nor[u(2.5°–10°N, 105°– 140°E) - u(17.5°–22.5°N, 105°– 140E) + u(30°– 37.5°N, 105°– 140°E)] where Nor represents standardization and u is JJA-mean 200-hPa zonal wind. When easterly anomalies appear around 20°N and westerly anomalies appear around 5° and 35°N, the index is positive, and the EASM is stronger. The NEWI can capture the interannual EASM-related climate anomalies and the interdecadal variability well. Compared to previous indices, the NEWI shows a better performance in describing precipitation and air temperature variations over East Asia. It can also show distinct climate anomalous features in early and late summer. The NEWI is tightly associated with the East Asian–Pacific or the Pacific–Japan teleconnection, suggesting a possible role of internal dynamics in the EASM variability. Meanwhile, the NEWI is significantly linked to El Niño–Southern Oscillation and tropical Indian Ocean sea surface temperature anomalies. Furthermore, the NEWI is highly predictable in the ENSEMBLES models, indicating its advantage for operational prediction of the EASM. The physical mechanism of the EASM variability as represented by the NEWI is also explicit. Both warm advection anomalies of temperature by anomalous westerly winds and the advection of anomalous positive relative vorticity by northerly basic winds cause anomalous ascending motion over the mei-yu–changma–baiu rainfall area, and vice versa over the South China Sea area. Hence, this NEWI would be a good choice to study, monitor, and predict the EASM (Zhao et al，2015，J Clim).
2021-11-23 3363 282
The refined population spatial distribution data set of Hambantota port area is generated by reanalysis based on hrsl data of Sri Lanka. Hrsl data provides an estimate of the population distribution in 2015 at a resolution of 1 arcsec (about 30 meters). The latest census information and built-up area information based on satellite images are used in hrsl data. This data set is based on hrsl data. Firstly, the boundary of buildings is extracted from the 0.5m resolution remote sensing image by computer vision technology, and the building types (high-rise buildings, medium and low rise buildings, bungalows, etc.) are determined by combining with manual visual interpretation and field sampling. The population distribution area mask is constructed in the building area, and the 10 meter grid is used as the analysis unit to calculate the population distribution in the unit According to the proportion of different building types, the proportion of main land use types, building density, distance from road and other related indicators, the average density of building type consistent area is calculated from hrsl data, and the corresponding population density of each building is obtained by machine learning method. Then, the population data in the area is allocated to the corresponding unit by proportional allocation method, and the 10 meter resolution is obtained Population distribution products. The data is distributed in the form of GeoTIFF files. Population GeoTIFF represents population estimates (in person) and provides detailed estimates for population, infrastructure and Sustainability Studies in the humanitarian field.
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