Soil temperature and moisture observation data of the Selincuo Lake Basin (2017)

This is the soil temperature and moisture observation data set in the runoff fields of the east bank of Selincuo Lake. It can be used in Climatology, Environmental Change, Hydrologic Process in Cold Regions and other disciplinary areas. The data is observed from August 19, 2017 to September 8, 2017. It is measured by soil temperature and moisture probe (5TE)and a piece of data is recorded every 60 minutes. The original data is precise, with the soil moisture accurate to 0.01% and the soil temperature 0.01℃. The original data forms a continuous time series after quality control, and the daily mean index data is obtained through calculation. The data is stored as an excel file.

0 2020-06-03

The HWSD soil texture dataset of the North_Slope_of_Tianshan River Basin (2009)

The dataset is the HWSD soil texture dataset in the north slope of the Tianshan River Basin. The data comes from the Harmonized World Soil Database (HWSD) constructed by the Food and Agriculture Organization of the United Nations (FAO) and the Vienna International Institute for Applied Systems (IIASA). Version 1.1 was released on March 26, 2009. The data resolution is 1km. The soil classification system used is mainly FAO-90. The main fields of the soil attribute table include: SU_SYM90 (soil name in FAO90 soil classification system) SU_SYM85 (FAO85 classification) T_TEXTURE (top soil texture) DRAINAGE (19.5); ROOTS: String (depth classification of obstacles to the bottom of the soil); SWR: String (soil moisture characteristics); ADD_PROP: Real (a specific soil type related to agricultural use in the soil unit); T_GRAVEL: Real (gravel volume percentage); T_SAND: Real (sand content); T_SILT: Real (silt content); T_CLAY: Real (clay content); T_USDA_TEX: Real (USDA soil texture classification); T_REF_BULK: Real (soil bulk density); T_OC: Real (organic carbon content); T_PH_H2O: Real (pH) T_CEC_CLAY: Real (cation exchange capacity of cohesive layer soil); T_CEC_SOIL: Real (cation exchange capacity of soil) T_BS: Real (basic saturation); T_TEB: Real (exchangeable base); T_CACO3: Real (carbonate or lime content) T_CASO4: Real (sulfate content); T_ESP: Real (exchangeable sodium salt); T_ECE: Real (conductivity). The attribute field beginning with T_ indicates the upper soil attribute (0-30cm), and the attribute field beginning with S_ indicates the lower soil attribute (30-100cm) (FAO 2009). The data can provide model input parameters for modelers of the Earth system, and the agricultural perspective can be used to study eco-agricultural zoning, food security, and climate change.

0 2020-06-01

1:100,000 landuse dataset of Sichuan Province (1980s)

This data was derived from "1: 100,000 Land Use Data of China". Based on Landsat MSS, TM and ETM remote sensing data, 1: 100,000 Land Use Data of China was compiled within three years by a remote sensing scientific and technological team of 19 research institutes affiliated to the Chinese Academy of Sciences, which was organized by the “Remote Sensing Macroinvestigation and Dynamic Research on the National Resources and Environment", one of the major application programs in Chinese Academy of Sciences during the "Eighth Five-year Plan". This data adopts a hierarchical land cover classification system, which divides the country into 6 first-class categories (cultivated land, forest land, grassland, water area, urban and rural areas, industrial and mining areas, residential land and unused land) and 31 second-class categories. This is the most accurate land use data product in our country at present. It has already played an important role in national land resources survey, hydrology and ecological research.

0 2020-06-01

Vegetation and soil characteristics in different degradation period in three temperate grassland of Inner Mogolia

By means of field survey, sampling and indoor test and analysis, three types of warm grasslands in different degradation stages in Inner Mongolia were systematically collected, namely, the vegetation and soil data of meadow grasslands, typical grasslands and desert grasslands from east to west.Specifically, it includes: coordinate information of sample collection points, sample square table of plant survey, aboveground biomass during the flourishing period of plant growth, organic carbon content of plants, total nitrogen of plants and total potassium of plants;Soil moisture content, soil PH value, soil conductivity, soil inorganic nitrogen content, soil bulk density, soil aggregate proportion, soil organic carbon content, soil total nitrogen, soil total potassium.These data are all standardized test methods, which have certain reference value for the systematic study of Inner Mongolia warm grassland.

0 2020-06-01

The monitoring data of soil temperature about a typical soil profile in Hongnigou catchment (August 2013-May 2014)

1. data description Soil temperature monitoring in typical soil profile of hongnigou is divided into seven layers, with depth distribution of 20cm, 40cm, 60cm, 80cm, 120cm, 160cm and 230cm.The frequency of observation is 1 time /60 minutes.The time range of observation data is from August 25, 2013 to May 1, 2014. 2. Sampling location The soil temperature monitoring point of the typical soil profile in the small basin of cucurbitou was set in the middle and lower part of the red mud ditch, and its geographical coordinates were 99 ° 52 '25.98 "E, 38 ° 15' 36.11" N. 3. Test method Soil Temperature was observed using HOBO Pendant® Temperature/Light Data Logger 64k-ua-002-64 Temperature recorder.

0 2020-06-01

Digital soil mapping dataset of sand content in the Heihe River Basin

According to the global soil map. Net standard, the 0-1m soil depth is divided into 5 layers: 0-5cm, 5-15cm, 15-30cm, 30-60cm and 60-100cm. According to the principle of soil landscape model, the spatial distribution data products of soil sand content in different layers are made by using the digital soil mapping method. The American system classification is used as the standard of soil particle classification. The source data of this data set comes from the soil profile data integrated by the major research plan integration project of Heihe River Basin (soil data integration and soil information product generation of Heihe River Basin, 91325301). Scope: Heihe River Basin; Projection: WGS · 1984 · Albers; Spatial resolution: 100M; Data format: TIFF; Dataset content: hh_sand_layer1.tif: 0-5cm soil sand content; hh_sand_layer2.tif: 5-15cm soil sand content; hh_sand_layer3.tif: 15-30cm soil sand content; hh_sand_layer4.tif: 30-60cm soil sand content; hh_sand_layer5.tif: 60-100cm soil sand content;

0 2020-06-01

Digital soil mapping dataset of silt content in the Heihe River Basin

According to the global soil map. Net standard, the 0-1m soil depth is divided into 5 layers: 0-5cm, 5-15cm, 15-30cm, 30-60cm and 60-100cm. According to the principle of soil landscape model, the spatial distribution data products of soil silt content in different layers are made by using the digital soil mapping method. The American system classification is used as the standard of soil particle classification. The source data of this data set comes from the soil profile data integrated by the major research plan integration project of Heihe River Basin (soil data integration and soil information product generation of Heihe River Basin, 91325301). Scope: Heihe River Basin; Projection: WGS · 1984 · Albers; Spatial resolution: 100M; Data format: TIFF; Dataset content: hh_silt_layer1.tif: 0-5cm soil silt content; hh_silt_layer2.tif: 5-15cm soil silt content; hh_silt_layer3.tif: 15-30cm soil silt content; hh_silt_layer4.tif: 30-60cm soil silt content; hh_silt_layer5.tif:60-100cm soil silt content;

0 2020-06-01

Digital soil mapping dataset of clay content in the Heihe River Basin

According to the global soil map. Net standard, the 0-1m soil depth is divided into 5 layers: 0-5cm, 5-15cm, 15-30cm, 30-60cm and 60-100cm. According to the principle of soil landscape model, the spatial distribution data products of soil clay content in different layers are made by using the digital soil mapping method. The American system classification is used as the standard of soil particle classification. The source data of this data set comes from the soil profile data integrated by the major research plan integration project of Heihe River Basin (soil data integration and soil information product generation of Heihe River Basin, 91325301). Scope: Heihe River Basin; Projection: WGS · 1984 · Albers; Spatial resolution: 100M; Data format: TIFF; Dataset content: hh_clay_layer1.tif: 0-5cm soil clay content; hh_clay_layer2.tif: 5-15cm soil clay content; hh_clay_layer3.tif: 15-30cm soil clay content; hh_clay_layer4.tif: 30-60cm soil clay content; hh_clay_layer5.tif: 60-100cm soil clay content;

0 2020-06-01

Investigation report on soil salinization around Aral Sea

According to the schedule of the project implementation plan and commissioned by the project team management committee, the Xinjiang Institute of Ecology and Geography of the Chinese Academy of Sciences organized a team of 6 people to carry out a field investigation in the Aral Sea from November 15 to November 26 in view of the desertification, salinization and vegetation construction of the surrounding land. The history, current situation, harnessing work, achievements and pressing problems of soil desertification and salinization around the Aral Sea were preliminarily understood. Sampling of vegetation and soil was carried out, and the technical idea to solve the problem was put forward, that is, planting Halophytes in brackish and saline groundwater to realize rapid vegetation construction in saline-alkali land. Through on-the-spot investigation, the investigation group believed that the implementation of vegetation construction in saline-alkali land should mainly focus on halophytes and local tree species. According to the distribution law of local halophytes and the characteristics of main constructive species in saline-alkali land, combined with the climatic conditions of the implementation site, seven halophytes, such as Salt-eared Tree, should be selected for planting demonstration. After the investigation, the investigation group put forward three specific suggestions on vegetation construction in saline-alkali land.

0 2020-06-01

Observation of water and heat flux in alpine meadow ecosystem —automatic weather station of E’bao station (2015-2016)

The data set contains the meteorological element observation data of ebao station in the upper reaches of heihe hydrometeorological observation network on January 1, 2015 and December 31, 2016.The station is located in ebao town, qilian county, qinghai province.The longitude and latitude of the observation point are 100.9151E, 37.9492N, and the altitude is 3294m.The air temperature and relative humidity sensor is set up at 5m, facing due north.The barometer is installed in the anti-skid box on the ground;The tipping bucket rain gauge is installed at 10m;The wind speed and direction sensor is mounted at 10m, facing due north;The four-component radiometer is installed at 6m, facing due south;Two infrared thermometers are installed at 6m, facing south, with the probe facing vertically downward;The soil temperature probe is buried at the surface of 0cm and underground of 4cm, 10cm, 20cm, 40cm, 80cm, 120cm and 160cm, 2m south of the meteorological tower.The soil moisture probe is buried underground at 4cm, 10cm, 20cm, 40cm, 80cm, 120cm and 160cm, 2m south of the meteorological tower.The soil heat flow plates (3 pieces) are successively buried 6cm underground, 2m south of the meteorological tower. Observation projects are: air temperature and humidity (Ta_5m, RH_5m) (unit: c, percentage), pressure (Press) (unit: hundred mpa), precipitation (Rain) (unit: mm), wind speed (WS_10m) (unit: m/s), wind (WD_10m) (unit: degrees), the radiation of four component (DR, UR, DLR_Cor, ULR_Cor, Rn) (unit: watts per square meter), the surface radiation temperature (IRT_1, IRT_2) (unit:C), soil heat flux (Gs_1, Gs_2, Gs_3) (unit: wattage/m2), soil temperature (Ts_0cm, Ts_4cm, Ts_10cm, Ts_20cm, Ts_40cm, Ts_80cm, Ts_120cm, Ts_160cm) (unit: water content by volume, percentage). Processing and quality control of observation data :(1) 144 data per day (every 10min) should be ensured.The four-component radiation and infrared temperature were between October 11, 2015 and November 5, 2015.The instrument of the observation tower was re-adjusted between 11.1 and 11.5, and the data was missing;(2) eliminate the moments with duplicate records;(3) data that obviously exceeds the physical significance or the range of the instrument is deleted;(4) the part marked with red letters in the data is questionable data;(5) the format of date and time is uniform, and the date and time are in the same column.For example, the time is: 2015-9-10 10:30;(6) naming rules: AWS+ site name. For information of hydrometeorological network or site, please refer to Li et al. (2013), and for data processing, please refer to Liu et al. (2011).

0 2020-06-01