The Second Tibetan Plateau Scientific Expedition (STEP) program

Brief Introduction: Second Tibetan Plateau Scientific Expedition Program

Number of Datasets: 694

  • 0.02° seamless hourly land surface temperature dataset over East Asia (2016-2021)

    0.02° seamless hourly land surface temperature dataset over East Asia (2016-2021)

    Hourly spatially complete land surface temperature (LST) products have a wide range of applications in many fields such as freeze-thaw state monitoring and summer high temperature heat wave monitoring. Although the LST retrieved from thermal infrared (TIR) remote sensing observations has high accuracy, it is spatially incomplete due to the influence of cloud, which heavily limits the application of LST. LST simulated by land surface models (LSM) is with high temporal resolution and spatiotemporal continuity, while the spatial resolution is relatively coarse and the accuracy is poor. Therefore, fusing the remote sensing retrieved LST and the model simulated LST is an effective way to obtain seamless hourly LST. The authors proposed a fusion method to generate 0.02° hourly seamless LST over East Asia and produced the corresponding data set. This dataset is the 0.02 ° hourly seamless LST dataset over East Asia (2016-2021). Firstly, the iTES algorithm is employed to retrieve the Himawari-8/AHI LST. Secondly, the CLDAS LST is corrected to eliminate its system deviation. Finally, the multi-scale Kalman filter is employed to fuse Himawari-8/AHI LST and the bias-corrected CLDAS LST to generate 0.02 ° hourly seamless LST. The in situ verification results show that the root mean square error (RMSE) of the seamless LST is about 3k. The temporal resolution and spatial resolution of this dataset are 1 hour and 0.02°, respectively. The time period is 2016-2021 over (0-60°N, 80°E-140°E).

    2022-06-08 599 44

  • Data set of surface grain size distribution along the Nyangqu River in the Yarlung Zangbo River (2021)

    Data set of surface grain size distribution along the Nyangqu River in the Yarlung Zangbo River (2021)

    The riverbed surface of the main channel in Nyangqu river is composed of gravel particles with wide grain size distribution. there are abundant gravel particles on the beach and riverbed. In this investigation, the bed surface grain size distribution of the main channel and tributaries of the Nyangqu river was measured. This data set contains the information of the five sampling locations in five main channels and two locations in tributaries of the Nyangqu River Basin (Table 1) and the bed surface grain size distribution (Table 2). The sampling locations were generally selected near the cross-section with obvious riverbed. It was considered that water flow through these sections in the straight channel for a long. At the same time, because it was a dry season, the bed grain size distribution on the river beach could be considered as the movement of gravel bedload carried by the last flood season. Therefore, it was considered that the bed grain size distribution in the sampling area on the river beach in the dry season was the bedload size distribution in the flood season. The grain size distributions were measured by the automatic identification method of full particle size based on image processing (e.g., Baserain software), with high identification accuracy of sediment particles is high. It is of great value to the scientific research on the evolution of source to sink process,bedlaod transport, and flood numerical simualtion, as well as the basic research on the flash flood prevention and control.

    2022-06-07 287 0

  • XRF multi-element data of gongka Lake

    XRF multi-element data of gongka Lake

    The data include the depth of gonka lake and XRF data. The core samples of gongka Lake were collected in October, 2020. In November, 2020, XRF element determination was carried out on the four cores of gk20b borehole. The relative contents of various elements (10 keV, 1mA, counting time 15s; 30 keV, 2mA, counting time 25s) were obtained at the sampling resolution of 0.1cm. According to the sediment properties and element content results, the overlapping parts of the four cores were compared, and finally 2.045m XRF records were obtained.

    2022-06-06 32 0

  • Near surface atmospheric oxygen content data of Qinghai Tibet Plateau (2017-2021)

    Near surface atmospheric oxygen content data of Qinghai Tibet Plateau (2017-2021)

    1. The total number is the unified number of the survey year, such as 17-001 (the first survey point in 2017), and the field number is the single field number. 2. Time: Beijing time at the time of measurement, such as: 13:25, August 1, 2017 (13:25, August 1, 2017). 3. Geographical location: the longitude and latitude of the measuring point, such as 29.6584101.0884 (29.6584 ° n, 101.0884 ° E), which is measured by Garmin 63sc GPS in the field. 4. Altitude: the absolute altitude of the measuring point, such as 4500m (4500m above sea level), is measured by Garmin 63sc GPS in the field with an accuracy of 1m. 5. Measured vegetation coverage (%): measured in the field with quadrat (1000 m * 1000 m). 6. Atmospheric pressure: measured by dph-103 intelligent digital temperature and humidity barometer in the field, such as 651.7kpa, accuracy: 0.1 kPa. 7. Air temperature: measured by dph-103 intelligent digital temperature, humidity and barometer in the field, such as 15.61 ℃, accuracy: 0.01 ℃. 8. Relative humidity: measured by dph-103 intelligent digital temperature, humidity and barometer in the field, such as 79.1%, accuracy: 0.1%. 9. Relative oxygen content: measured by td400-sh-o2 portable oxygen detector in the field, such as 20.16%, accuracy: 0.01%. Among them, the altitude of sampling points 17-001 to 17-065 is measured by Garmin Oregon 450 GPS with an accuracy of 1 m; The atmospheric pressure is measured by Casio prg-130gc barometer with an accuracy of 5 HPA; The relative oxygen content is measured by cy-12c digital oxygen meter, with a range of 0-50.0%, a resolution of 0.1% and an accuracy of ± 1%.

    2022-06-06 363 6

  • Plant diversity and distribution data of grid chnab005 in Qinghai Tibet Plateau (2019-2022)

    Plant diversity and distribution data of grid chnab005 in Qinghai Tibet Plateau (2019-2022)

    This data is the plant diversity and distribution data of the chnab005 grid on the Qinghai Tibet Plateau, including the Chinese name, Latin name, latitude and longitude, altitude, collection number, number of molecular materials, number of specimens, administrative division, small place, collector, collection time and creator of the plants in this grid. This data is obtained from e-Science website( http://ekk.kib.ac.cn/web/index/#/ )And partially complete the identification. This data has covered the list of plants in this flora and the specific distribution information. This data can be used not only to study the floristic nature of this region, but also to explore the horizontal and vertical gradient pattern of plants in this region. What is different from last year is that the grid with the most scientific research data this year has changed, which may be affected by the epidemic or the environment.

    2022-06-06 60 8

  • Plant diversity and distribution data of grid chnac006 in Qinghai Xizang Plateau (2021-2022)

    Plant diversity and distribution data of grid chnac006 in Qinghai Xizang Plateau (2021-2022)

    This data is the plant diversity and distribution data of chnac006 grid on the Qinghai Tibet Plateau, including the Chinese name, Latin name, latitude and longitude, altitude, collection number, number of molecular materials, number of specimens, administrative division, small place, collector, collection time and creator of plants in this grid. The data is obtained from e scientific research website( http://ekk.kib.ac.cn/web/index/#/ )And partially complete the identification. This data has covered the list and specific distribution information of more than 600 species of plants in more than 200 genera and 91 families in this flora. This data can be used not only to study the floristic nature of this region, but also to explore the horizontal and vertical gradient pattern of plants in this region.

    2022-06-06 45 11

  • Plant diversity and distribution data of grid chnab005 in Qinghai Tibet Plateau (2021-2022)

    Plant diversity and distribution data of grid chnab005 in Qinghai Tibet Plateau (2021-2022)

    This data is the plant diversity and distribution data of chnyb013 grid on the Qinghai Tibet Plateau, including the Chinese name, Latin name, latitude and longitude, altitude, collection number, number of molecular materials, number of specimens, administrative division, small place, collector, collection time and creator of plants in this grid. The data is obtained from e scientific research website( http://ekk.kib.ac.cn/web/index/#/ )And partially complete the identification. This data has covered a large number of plant catalogues and specific distribution information in this flora. This data can be used not only to study the floristic nature of this region, but also to explore the horizontal and vertical gradient pattern of plants in this region.

    2022-06-06 970 20

  • 14C dating data of Ngamring Co, Yilong lake, Guozha Co, Bangda Co and Gongzhu Co

    14C dating data of Ngamring Co, Yilong lake, Guozha Co, Bangda Co and Gongzhu Co

    This data includes 50 14C dating data of 5 Lake cores (ANGREN jincuo, Yilong lake, guozhaco, bangdaco and gongzhucuo). The age control of lake sediment cores depends on radiocarbon isotope (14C) dating. The chemical treatment and analysis test of this batch of samples were completed in Miami beta laboratory and Peking University in the United States. The test time was 2018-2022. The test process was carried out in strict accordance with relevant standards. The data sheet includes the lake core sample number, laboratory sample number, dating sample depth, 14C dating results, dating error and corrected results, etc. Good chronological control is the basis of paleoenvironmental reconstruction.

    2022-06-05 300 0

  • Biomarker data of Qilian Mountains (2022)

    Biomarker data of Qilian Mountains (2022)

    1) Data content: Biomarker data can be used to reconstruct palaeoclimate. In addition to climate reconstruction, this set of data also tries to reconstruct palaeoclimate altitude, and obtains good results 2) Data sources and processing methods Biomarker analysis: After ultrasonic extraction, the samples were separated by column chromatography to obtain methanol elution components. After constant volume, the GDGT data were tested and analyzed on LC-MS 3) Data quality Sample collection and experimental processing were carried out in accordance with strict standards, and the data obtained were of reliable quality. 4) Data application achievements and prospects Published a SCI paper using these data (Frontiers in Earth Science).

    2022-06-04 198 40

  • Approximate vegetation restoration map of Qinghai Tibet Plateau

    Approximate vegetation restoration map of Qinghai Tibet Plateau

    Mapping scope: the scope of Qinghai Tibet Plateau (2002 Edition) by Zhang Yili, etc. Data source: vegetation map of Qinghai Tibet Plateau in 1980s, climate, terrain, landform, soil data, etc. Mapping method: the restored vegetation map is a vegetation map that reflects the distribution of the original vegetation before it was damaged by human economic activities. Due to the lack of early vegetation distribution map of the Qinghai Tibet Plateau, based on the vegetation map of the Qinghai Tibet Plateau in the 1980s prepared by the project team, the approximate Restored Vegetation Map is prepared through the following methods. Based on the vegetation map of the Qinghai Tibet Plateau in the 1980s and the worldclim19 bioclimatic data in 1980, the relationship between bioclimatic data and natural vegetation is analyzed to determine the climate data change range corresponding to the distribution of various natural vegetation. For the artificial vegetation in the 1980's vegetation map, the earliest 1960 worldclim19 biological climate data are used to judge the corresponding natural vegetation according to the climate data of the artificial vegetation distribution area and the relationship between the vegetation distribution and climate, and replace the artificial vegetation in this area with natural vegetation. On this basis, further consider the zonal law of vegetation distribution and its relationship with terrain, landform and soil, analyze the previous judgment results according to the remaining natural vegetation around the artificial vegetation and the surrounding zonal vegetation, cross verify the accuracy of the artificial vegetation replacement results, and make appropriate corrections. The natural vegetation in the 1980's vegetation map, such as coniferous forest, broad-leaved forest, shrub, desert, grassland and meadow, remains unchanged. Based on the above analysis results, an approximate Restored Vegetation Map is obtained. The vegetation classification unit is the same as the vegetation map of Qinghai Tibet Plateau in 1980s. Based on the accuracy of the data used in the mapping, the maximum mapping scale of this drawing is 1:500000.

    2022-06-04 582 11

  • The maximum 24h precipitation in Sichuan Tibet line and surrounding areas for many years (1950s-2010s)

    The maximum 24h precipitation in Sichuan Tibet line and surrounding areas for many years (1950s-2010s)

    This data includes the maximum 24h precipitation values of all sub watershed units along the Sichuan Tibet railway and its surrounding areas. According to the original data of the hourly observation data of China ground meteorological station, the frequency of the annual maximum 24h precipitation sequence in the assessment area is calculated. The data are accumulated according to the hourly rainfall process of each grid point from 1979 to 2018 to obtain the maximum 24h precipitation sequence year by year, fit the precipitation frequency curve of the assessment area, obtain the maximum 24h precipitation value once in ten years, and use GIS to make statistics to the sub watershed assessment unit. It can be used in the fields of weather and climate monitoring, climate change research, model test and hydrological forecast along and around the Sichuan Tibet railway.

    2022-06-03 199 51

  • Transcriptome data of plain population before entering Tibet (2019)

    Transcriptome data of plain population before entering Tibet (2019)

    People in the plain often have altitude reaction after entering Tibet. In order to deeply analyze the change pattern of genomic expression profile in the process of altitude response and altitude acclimation. Based on the mRNA transcriptome sequencing method, we have obtained the transcriptome sequencing data of 46 individuals before entering Tibet (collection place: Chongqing). We first collected the peripheral blood samples of 46 plain Han individuals, treated the peripheral blood with red blood cell lysate (Tiangen), centrifuged at 4000 rpm for 10 min, separated and extracted white blood cells, and extracted the total RNA of each sample by Trizol method. Then 46 libraries were constructed by poly (a) capture method. Poly (a) + mRNA library was isolated from 1 g total RNA of each sample with oligo (DT) beads. The construction of RNA SEQ library was carried out according to the preparation scheme of truseq RNA library. The 46 RNA libraries were double ended sequenced using novaseq platform. The sequencing results were 150 BP reads fastq files, and the data volume of each sample exceeded 6.0 GBP. The transcriptome data of plain people before entering Tibet can be used as the baseline data after entering Tibet. By comparing and analyzing the transcriptome data of plain people before and after entering Tibet, screening the significantly differentially expressed genes before and after entering Tibet, and annotating the biological functions of differentially expressed genes, we can deeply analyze the gene expression change mode and function regulation network mechanism in the process of altitude reaction and altitude acclimatization.

    2022-06-03 70 0

  • Magnetotelluric data set of Yangbajing Geothermal field, Dangxiong County, Tibet (2021)

    Magnetotelluric data set of Yangbajing Geothermal field, Dangxiong County, Tibet (2021)

    This data set is the original observation data of magnetotelluric method (MT) collected by the project team in Yangbajing Geothermal field, Dangxiong County, Tibet. The data format is EDI and contains 53 files. The data set contains 4 MT profiles, with the distance between survey lines of about 1km and the distance between survey points of about 500m. The field data acquisition equipment adopts the new SEP ground electromagnetic detection system developed by the Chinese Academy of Sciences. At each MT measuring point, the two horizontal components ex (north-south direction) and ey (east-west direction) of the electric field are measured with a non polarized electrode, and the three components HX (north-south direction), hy (east-west direction) and Hz (plumb bob direction) of the magnetic field are measured with a magnetic sensor. The observation time of each measuring point exceeds 10 hours, and the effective frequency range is 320 hz~0.001 Hz. Through the preprocessing and inversion of the data set, the electrical structure in the depth of 10km in Yangbajing Geothermal field can be obtained, which provides a basis for the location and scale of deep heat sources, heat control and heat conduction structures in the investigation area.

    2022-06-03 388 14

  • Magnetotelluric data set of Yangyi Geothermal field, Dangxiong County, Tibet (2021)

    Magnetotelluric data set of Yangyi Geothermal field, Dangxiong County, Tibet (2021)

    This data set is the original observation data of magnetotelluric method (MT) collected by the project team in Yangyi geothermal field, Dangxiong County, Tibet. The data format is EDI and contains 36 files. The data set contains 3 MT profiles, with the distance between survey lines of about 1km and the distance between survey points of about 500m. The field data acquisition equipment adopts the new SEP ground electromagnetic detection system developed by the Chinese Academy of Sciences. At each MT measuring point, the two horizontal components ex (north-south direction) and ey (east-west direction) of the electric field are measured with a non polarized electrode, and the three components HX (north-south direction), hy (east-west direction) and Hz (plumb bob direction) of the magnetic field are measured with a magnetic sensor. The observation time of each measuring point exceeds 10 hours, and the effective frequency range is 320 hz~0.001 Hz. Through the preprocessing and inversion of the data set, the electrical structure in the depth of 10km in Yangyi geothermal field can be obtained, which provides a basis for the location and scale of deep heat sources, heat control and heat conduction structures in the investigation area.

    2022-06-03 451 0

  • Risk assessment data of factors causing freezing-thawing disasters in the Himalayan Region and Water tower region of Asia (2021)

    Risk assessment data of factors causing freezing-thawing disasters in the Himalayan Region and Water tower region of Asia (2021)

    Freezing-thawing disaster is the frost heaving and thawing settling caused by the change of thermal and mechanical stability of frozen soil, as well as the geological disasters caused by it, such as frost heaving hillock, ice cone, thermal thawing slump, thermal thawing subsidence, thawing mud flow, etc. In order to reveal the regional risk characteristics of freezing-thawing disasters around The Himalayas and in Asia's water tower region, it is very important to carry out the risk assessment of the factors causing the freezing-thawing disasters around the Himalayas and Asia's water tower region.The risk assessment of the risk factors of freezing-thawing disaster is mainly based on the climate, geography, environment and other factors of the evaluation area, and the geological conditions of the area are considered as the main factors of the risk assessment, and the risk assessment of the risk factors is graded.

    2022-06-03 177 40

  • 14 Ka oxygen isotope records of Xingyun Lake, Yunnan Province

    14 Ka oxygen isotope records of Xingyun Lake, Yunnan Province

    This data includes carbonate oxygen isotope data and core age data of Xingyun Lake sediments. The first column: core depth, the second column: core age frame (CAL yr BP), and the third column: carbonate oxygen isotope data. The core of Xingyun Lake is 745cm long and 14ka old. There are 149 carbonate oxygen isotope data. The summer precipitation records in Xingyun Lake since the past 14 Ka have been reconstructed by using carbonate oxygen isotopes in the sediments of Xingyun Lake. The reconstruction results show that the summer precipitation of mingmingyun Lake Basin in early Holocene is high; Since the middle Holocene, summer precipitation has gradually decreased, which is mainly controlled by summer solar radiation.

    2022-06-02 151 44

  • Heavy mineral data from Dahonggou section, Qaidam Basin (5-20Ma)

    Heavy mineral data from Dahonggou section, Qaidam Basin (5-20Ma)

    1) Data content: The table contains the heavy mineral data results of Dahonggou profile during the period of 20-5ma, as well as the lithology of the sample, sampling stratum location and GPS points. The analysis results of heavy mineral data show that the Dahonggou section in the northern Qaidam Basin experienced three phased provenance changes at ~19 Ma, 11 Ma and 8 Ma, which provides heavy mineral data support for understanding the provenance change history in the northern Qaidam Basin since the Miocene. 2) Data source and processing method Extraction and testing of heavy minerals: first remove fine particles (< 5 μ m) Light minerals, then heavy liquid tribromomethane is used to further extract heavy minerals through centrifugation, freezing and extraction. Finally, qemscan mineral identification technology is used for quantitative identification. 3) Data quality The sample collection and experimental treatment were carried out according to strict standards, and the data obtained were reliable. 4) Data application achievements and Prospects One SCI paper was published with this set of data.

    2022-06-01 133 47

  • Hydrogen and oxygen stable isotope data set of groundwater and surface water in Naqu basin, the upper reaches of Nujiang River (2020-2021)

    Hydrogen and oxygen stable isotope data set of groundwater and surface water in Naqu basin, the upper reaches of Nujiang River (2020-2021)

    From September 3 to September 9, 2020, groundwater and surface water were collected in the upper reaches of Nujiang River Basin (i.e. Naqu basin in Nujiang River source area), and the samples were immediately put into 100 ml high density polyethylene (HDPE) bottles. 18O and D are analyzed and tested by liquid water isotope analyzer (picarro l2140-i, USA), and the stable isotope ratio is expressed by the thousand difference relative to Vienna "standard average seawater" (VSMOW). δ 18O and δ The analysis error of D is ± 0.1 ‰ and ± 1 ‰ respectively. It provides basic data support for subsequent analysis of groundwater source analysis in Naqu basin.

    2022-06-01 199 0

  • The dataset of measured soil thickness, soil physical properties and soil hydraulic characteristics in Yarlung Zangbo River Basin

    The dataset of measured soil thickness, soil physical properties and soil hydraulic characteristics in Yarlung Zangbo River Basin

    The dataset includes the measured soil thickness data at 148 points in the Yarlung Zangbo River Basin, as well as the physical properties and hydraulic characteristics (such as particle size, saturated water content, organic matter content, saturated hydraulic conductivity, etc.) of soil samples at 40 points. The sampling points are distributed from Zhongba County in the upper reaches of the Yarlung Zangbo River basin to Nyingchi city in the lower reaches. The soil thickness data is obtained through the excavation profile measurement, and other soil data are obtained from the collected ring knife samples according to the standardized experimental process, so the data accuracy is high. The soil data of the Yarlung Zangbo River basin provided by this dataset can provide a reference for large-scale soil mapping on the Qinghai Tibet Plateau and improve the prediction accuracy of relevant studies.

    2022-06-01 298 0

  • Dataset of discharge and meteorological data of Duodigou Alpine Runoff Experimental Basin on the Tibet Plateau (2018-2021)

    Dataset of discharge and meteorological data of Duodigou Alpine Runoff Experimental Basin on the Tibet Plateau (2018-2021)

    This dataset provides the monitoring data of runoff, precipitation and temperature of the Duodigou Runoff Experimental Station located in the northern suburbs of Lhasa city. Among the dataset, there are two runoff monitoring stations, which provide discharge data from June to December 2019, with a data step of 10 minutes. There are five precipitation monitoring stations, which provide precipitation data from 2018 to 2021, with a data step of 1 day. There are eight air temperature monitoring stations, which provide air temperature data from 2018 to 2021 in 30 minute steps. The discharge, the precipitation and the temperature data are the measured values. The dataset can provide data support for the study of hydrological and meteorological processes in the Tibet Plateau.

    2022-06-01 352 0