Sequence data of Tibetan Pig transcriptome (2019)

This data set is the transcriptome data of Tibetan pigs, which are the control group and the experimental group respectively. There are three individuals in the control group without any treatment. The experimental group is also three individuals. They are attacked with FMDV at the concentration of ID50. All samples are the transcriptome sequence results of the spleen samples of Tibetan pigs. Both the experiment and sample collection were carried out in Lanzhou. The numbers are z1-z6, and each data is divided into R1 and R2, indicating the results of double headed sequencing. Z1-Z3 is the individual results of the control group, and z4-z6 is the individual results of the experimental group. By comparing and analyzing the data of the control group and the experimental group, we can find out the response of the immune system in vivo when FMDV attacks the body of Tibetan pigs, find the immune genes and immune pathways that are activated when FMDV is attacked, find the related genes and pathways for the ability of resistance of Tibetan pigs to FMDV, and increase the immunity to FMDV in the future breeding process of domestic pigs Epidemic ability provides theoretical basis.

0 2020-05-25

1:100,000 land use dataset of Gansu Province (1980s)

This data is from "China 1:100,000 land use data".China 1:100,000 land use data was constructed in three years based on Landsat MSS, TM and ETM remote sensing data by using satellite remote sensing as a means to organize remote sensing science and technology teams from 19 institutes affiliated to the Chinese academy of sciences (cas) in the "eighth five-year plan" major application project "national macro survey and dynamic research on remote sensing of resources and environment". The 1:100,000 land use data set in gansu province adopts a hierarchical land cover classification system, which divides the whole country into 6 primary categories (arable land, forest land, grassland, water area, urban and rural areas, industrial and mining areas, residential land and unused land) and 31 secondary categories.It is the most accurate land use data product in China and has played an important role in national land resource survey, hydrological and ecological research.

0 2020-04-01

1:100000 landuse dataset of Gansu province (1995)

This data is from "China 1:100,000 land use data".China 1:100,000 land use data was constructed in three years based on Landsat MSS, TM and ETM remote sensing data by using satellite remote sensing as a means to organize remote sensing science and technology teams from 19 institutes affiliated to the Chinese academy of sciences (cas) in the "eighth five-year plan" major application project "national macro survey and dynamic research on remote sensing of resources and environment". According to the 1:100,000 landuse data of gansu province, a hierarchical land cover classification system is adopted, which divides the whole country into 6 primary categories (arable land, forest land, grassland, water area, urban and rural areas, industrial and mining areas, residential land and unused land) and 31 secondary categories.It is the most accurate land use data product in China and has played an important role in national land resource survey, hydrological and ecological research.

0 2020-03-31

1:100000 landuse dataset of Gansu province (2000)

This data is from "China 1:100,000 land use data".China 1:100,000 land use data was constructed in three years based on Landsat MSS, TM and ETM remote sensing data by using satellite remote sensing as a means to organize remote sensing science and technology teams from 19 institutes affiliated to the Chinese academy of sciences (cas) in the "eighth five-year plan" major application project "national macro survey and dynamic research on remote sensing of resources and environment". According to the 1:100,000 land use data of gansu province, a hierarchical land cover classification system is adopted, which divides the whole country into 6 primary categories (arable land, forest land, grassland, water area, urban and rural areas, industrial and mining areas, residential land and unused land) and 31 secondary categories.It is the most accurate land use data product in China and has played an important role in national land resource survey, hydrological and ecological research.

0 2020-03-31

Associative datas of diversity and environmental factors of grassland main plants functional traits in Heihe River Basin (2013)

Correlation data of vegetation functional traits with topographic factors and pastoral animal husbandry activity factors, including: 1) observation data of main functional traits of 2-3 kinds of grassland plants in elevation, slope and slope upward; 2) correlation analysis data of vegetation functional traits and topographic factors; 3) correlation analysis data between vegetation functional traits and livestock activity intensity factors.

0 2020-03-15