Plateau pika is a key species of the Qinghai Tibet Plateau and an indigenous species formed with the uplift of the Qinghai Tibet Plateau. During the long-term evolution, it has evolved a unique life history strategy to adapt to the extreme environment of the plateau. This sub project (2019QZKK05010410) investigates the distribution area of plateau pika, analyzes its population fluctuation rule and its influencing factors in the context of global climate change, and discusses the ecological significance of plateau pika in the alpine meadow ecosystem. This data set contains the information table of 213 plateau zokor tissue samples collected in Gonghe County, Guinan County, Hainan Prefecture, and Maqin County, Golog Prefecture, Qinghai Province in 2020, including species, collection place, collection time, collection person, sample type and other information. The information table is named after the sub subject number - year - group and opened in excel
QU Jiapeng
This dataset is based on the Tibet Statistical Yearbook and Qinghai Statistical Yearbook (2020). The two books contain statistical data on the economic and social development of the Tibet Autonomous Region and Qinghai Province since 2019, mainly from 1951 to 2020. Extract the agricultural aspects, from the basic situation of rural areas and agriculture, the basic situation of rural areas, rural employees, the total output value of agriculture, forestry, animal husbandry and fishery in sub-regional cities, the sown area of main crops, the output of main agricultural products, the output per unit area of main agricultural products, and the sown area of crops It is an important statistical data for people from all walks of life at home and abroad to understand the Qinghai-Tibet Plateau and the Qinghai-Tibet Plateau.
TANG Yawei TANG Yawei
In order to describe the distribution pattern of genetic diversity of important livestock and poultry germplasm resources in the Qinghai Tibet Plateau, clarify their related genetic background, and establish a corresponding genetic resource bank. During 2019-2022, 2167, 1056 and 516 tissue samples of local Tibetan sheep and fine wool sheep were collected in Gangca County, Haibei Tibetan Autonomous Prefecture, Qinghai Province, and 2074 and 1548 lambing records were recorded. This data set includes 3 tissue sample information tables and 2 lambing record information tables. The organization sample information table records the variety, collection place, collection time, sample type and other information. The lambing record information table records the variety, detailed sampling place, sex, date of birth, birth weight and other information. The information table is stored in excel form.
ZHAO Kai
The dataset includes climate suitability zonation, climate and soil suitability zonation and climate and soil terrain suitability zonation dataset of 8 forages. The dataset can provide important data support for artificial grassland construction. Based on the climate index model and maximum entropy model, the climate suitability index of each pasture was constructed by using the temperature, precipitation data of the last 40 years and elevation data, and considering the soil type, soil organic matter content and topographic factors, the planting zonation of eight pasture species was established in Qinghai. Eight forages are important forage resources in alpine areas. The accuracy of climate suitability index was ensured by field investigation, and the practicability of dataset of pasture planting zonation was ensured by comprehensive consideration of climate factors and soil topographic factors. Artificial grassland planting is not only the main means of ecological restoration of degraded grassland, but also an important part of grassland production structure adjustment. Reasonable and scientific grass planting is the foundation. The dataset of forage planting zonation has an important application prospect in the implementation of major ecological projects and the scientific management of grassland.
ZHOU Huakun , SU Wenjiang , ZHOU Bingrong , SHI Mingming , ZHAO Huifang
In order to describe the distribution pattern of genetic diversity of important rodents in the Qinghai Tibet Plateau, clarify their related genetic background, and establish the corresponding genetic resource bank. In 2021, this sub project (2019QZKK05010410) focused on the investigation of plateau pika in Haixi Mongolian and Tibetan Autonomous Prefecture, Golog Prefecture and Hainan prefecture, Qinghai. A total of 200 plateau pika samples were collected, and the solid samples were spleen and lung tissues. This data set contains a sample information table and habitat photos, work photos and work videos. The sample information table contains basic sample information such as species, gender, detailed sampling place, altitude, sample type, collection time, collector and storage method, which are stored in the form of Excel.
QU Jiapeng
In order to describe the distribution pattern of genetic diversity of pika germplasm resources in Qinghai Tibet Plateau, clarify its related genetic background, and establish the corresponding genetic resource bank. In 2021, this sub project (2019QZKK05010209) focused on Qinghai Province (Haixi Mongolian and Tibetan Autonomous Prefecture, Golmud City, Kunlun mountain pass; Haixi Mongolian and Tibetan Autonomous Prefecture, Dulan County, Xiangride Town, Gouli township; Golog Tibetan Autonomous Prefecture, Maduo County; Golog Tibetan Autonomous Prefecture, Maqin County, Dawu town; Huangnan Tibetan Autonomous Prefecture, Zeku County; Hainan Tibetan Autonomous Prefecture, Guinan County, Taxiu township) 93 plateau pika germplasm resources were collected at different altitudes, and the solid samples included blood or tissue, feces and so on. This data set contains 1 sample information table. The sample information table contains basic sample information such as species, variety, detailed sampling place, sample type, collection time, collector and storage method, which is stored in the form of Excel.
ZHANG Liangzhi
The Qaidam Basin is a key area for understanding the paleoenvironmental and faunal history of the Tibetan Plateau. The fossil schizothoracine fish, Hsianwenia wui, evolved extraordinarily thickened bones to adapt to the aridification of the Qaidam Basin during the Pliocene. However, the nature of the bone thickening itself remains elusive. To promote the further investigation of the physiological mechanism of the pachyostosis and the phylogenetic interrelationships of Hsianwenia and all relevant cyprinids, here we present a comprehensive morphological study of Hsianwenia. We have new information on the anterior part of the cranial cavity, a large supraneural 3 in the Weberian apparatus, numerous procurrent caudal fin rays supported by the preural centrum (Pu) 5, and a neural arch on Pu2. We also find the differentiated pattern of the bone-thickening: the pachyostosis exists in the endoskeleton but not in the dermal skeleton; it is more obvious in ventral bones than in dorsal ones, when the thickening is present in the dorsally and ventrally grouped endoskeletal bones (e.g., the epineural and epipleural intermuscular bones). Considering the integrity of musculoskeletal system manipulating the chewing activities, we suspect that the thickened pharyngeal jaws and the hard food processing might be associated with the unique hind protrusion (cleithral “humeral” process) of the dermal pectoral girdle of Hsianwenia.
WU Feixiang
This data set includes the original Landsat satellite image data TM and ETM+ data of Salt Lake area in Qinghai Province from January to December 2020, including 4 bands of MSS sensor (spatial resolution 78m), 7 bands of TM sensor and 8 bands of ETM+ sensor (spatial resolution 15m and 30m). The data is based on MSS, TM and ETM+ remote sensing image data of Salt Lake area collected and sorted on USGS official website. Strict quality assurance measures are taken in the data processing process. The data is warehoused after quality inspection, which can ensure the data quality. The data size is about 22.3gb.
CHEN Liang, WANG Jianping
This data set includes the original Landsat satellite image data TM and ETM+ data of Salt Lake area in Qinghai Province from January to December 2013, including 4 bands of MSS sensor (spatial resolution 78m), 7 bands of TM sensor and 8 bands of ETM+ sensor (spatial resolution 15m and 30m). The data is based on MSS, TM and ETM+ remote sensing image data of Salt Lake area collected and sorted on USGS official website. Strict quality assurance measures are taken in the data processing process. The data is warehoused after quality inspection, which can ensure the data quality. The data size is about 20.6gb.
CHEN Liang, WANG Jianping
This data set includes the original Landsat satellite image data TM and ETM+ data of Salt Lake area in Qinghai Province from January to December 2002, including 4 bands of MSS sensor (spatial resolution 78m), 7 bands of TM sensor and 8 bands of ETM+ sensor (spatial resolution 15m and 30m). The data is based on MSS, TM and ETM+ remote sensing image data of Salt Lake area collected and sorted on USGS official website. Strict quality assurance measures are taken in the data processing process. The data is warehoused after quality inspection, which can ensure the data quality. The data size is about 3.18GB.
CHEN Liang, WANG Jianping
1. The data content includes: year, month, day, hour, longitude, latitude, altitude, meridional (UQ) and latitudinal (VQ) components of water vapor flux; 2. Data source and processing method: GPS meteorological sounding data of voyages in the eastern Indian Ocean, and calculate water vapor flux through relative humidity, wind field, air pressure and altitude; 3. Data quality description: vertical continuous observation with 1 second vertical resolution; 4. Data application achievements and prospects: Study on the changes of water vapor transport in the tropical Indian Ocean;
LIU Zhaofei, YAO Zhijun
In order to collect the special germplasm resources of Qinghai Tibet Plateau and excavate the molecular markers affecting the special germplasm resources, individual sheep with excellent ectopic spots were selected for marker assisted selection, propagation and generation breeding according to the genetic marker information, so as to cultivate the families of special germplasm resources. In 2021, this sub project (2019QZKK05010704) widely collected samples of Qinghai Tibetan sheep and Qinghai fine wool sheep in Haibei, Qinghai, and continued to establish and expand the first and second core groups in Ledu agricultural experimental station and Qinghai Sanjiaocheng sheep breeding farm. This data set contains the basic information of 1050 tissue samples, including variety, collection place, collection time, gender, tissue type, preservation method, etc.
ZHAO Kai
This sub project (2019qzkk05010411) focuses on the population investigation and monitoring of wild yak, Tibetan antelope and brown bear, carries out systematic and continuous field investigation, finds out their geographical distribution, population number and population structure, and carries out appropriate habitat assessment. The distribution area and potential distribution area are selected and divided into multiple sub areas. Stratified random sampling is adopted according to habitat type, climate, altitude and other factors, and the population counting method, variable distance spline method or fixed width spline method are used for investigation respectively. At the same time, in view of the extremely low encounter rate of brown bears, combined with the interview method. The investigation area mainly includes the distribution areas and potential distribution areas of the three animals in Yushu Tibetan Autonomous Prefecture, Haixi Mongolian Tibetan Autonomous Prefecture, Haibei Tibetan Autonomous Prefecture and other prefectures and counties in Qinghai Province, in order to master the distribution and five-year population dynamics of wild yak, Tibetan antelope and brown bear in Qinghai Province. This data set contains photos of yaks, Tibetan antelopes and brown bears investigated in Qinghai in 2021.
CHEN Zhenning
This sub project (2019QZKK05010217) plans to select Qinghai sand lizard, an exothermic vertebrate that is very sensitive to environmental changes, as the representative. Through field investigation, we will compare the differences in morphology, physiology and life history of Qinghai sand lizard populations at different altitudes in the Qinghai Tibet Plateau and adjacent areas, and analyze the response and adaptation characteristics of Qinghai sand lizard to environmental changes in the Qinghai Tibet Plateau, Combined with species distribution model (SDM) and mechanism model, this paper predicts the threatened degree of Qinghai sand lizard in the future, and puts forward the Protection Countermeasures of Qinghai sand lizard diversity on the Qinghai Tibet Plateau under the background of climate warming, so as to provide a theoretical basis for the protection of Reptile Diversity on the Qinghai Tibet Plateau under the background of environmental change. This data includes ecological photos and habitat photos of Qinghai sand lizard in Gonghe County, Haiyan County and Maduo County of Qinghai Province.
DU Weiguo
In order to determine the distribution points and habitat types of plateau forest frog along the latitudinal gradient in Qinghai, in 2021, a total of 8 distribution points of plateau forest frog were collected in Minhe County of Haidong, Qinghai, Gonghe County of Hainan Tibetan Autonomous Prefecture and Maqin County of Golog Prefecture, covering an altitude of 2000-3800m. This dataset contains 1 coordinate information table and 57 habitat photos. The coordinate information table contains information such as number, recording date, time, weather, coordinate longitude and latitude, altitude sample, habitat type and photo number of representative habitat, which are stored in the form of Excel. Photos are stored in JPG format. In order to reveal the impact of climate change on the diversity of plateau forest frogs on the Qinghai Tibet Plateau in the future, the thermal safety margin of different geographical populations of plateau forest frogs was calculated through the data of thermophysiological indexes and environmental effective temperature, and the threat of climate warming of different geographical populations of plateau forest frogs was evaluated. This data set includes field activity body temperature, resting metabolic rate, ambient temperature and morphological data of four altitude populations of plateau forest frog, which supplements the selected body temperature, tolerance temperature and temperature correction data of 2000 m altitude populations. The data is stored in Excel format. In order to study the differences of genetic diversity of plateau forest frog at different altitudes, 100 samples of plateau forest frog collected from four altitudes (2000 m, 2600 m, 3200 m and 3800 m) of Qinghai Tibet Plateau were sequenced and analyzed based on the sequences of four mitochondrial genes (12S rRNA, 16S rRNA, coi and cytb), so as to provide scientific basis for the protection of this species. This data includes 12S rRNA, 16S rRNA The sequence data obtained from the sequencing of COI and cytb genes supplement the sequence data of four genes of the population at an altitude of 2000m. The data is stored in FASTA format
ZHANG Yongpu
In order to describe the effects of environmental changes and human disturbance on the temporal and spatial distribution of small mammals in the Qinghai Tibet Plateau, statistical models and molecular techniques were used to identify the species of small mammals with different altitude gradients. In 2021, 105 small mammal resources such as plateau pika, Meriones meridionalis, three toed jerboa, five toed jerboa and Qinghai squirrel were collected in 8 areas of Xihai Town, Gangcha county and Delingha city of Qinghai Province. The solid samples include animal solid samples and muscles, heart, liver, spleen, lung, kidney, pancreas, bladder, testis and ovary. This data set contains one specimen information table, one tissue sample information table and one photo corresponding to each specimen. The sample information table contains basic sample information such as species, variety, detailed sampling place, sample type, collection time, collector and storage method, which is stored in the form of Excel. Photos, stored in JPG format.
HOU Xiang
The data set records the statistical data of natural grassland grade area in Golmud City, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grade code of natural grassland. The grassland is divided into five grades: excellent, good, medium, low and inferior with grassland type as the basic unit. The classification criteria of each grade are as follows: Grade I (excellent) Grassland: the weight of excellent forage accounts for more than 60%; Grade II (good grade) Grassland: the weight of grass above good grade accounts for more than 60%, and that of other types accounts for 40%; Grade III (medium) Grassland: the weight of forages above the medium category accounts for more than 60%, and that of other categories accounts for 40%; Grade IV (low) Grassland: the weight of grass above the low category accounts for more than 60%, and that of other categories accounts for 40%; Grade V (inferior) Grassland: the weight of inferior forage accounts for more than 40% The grassland level is divided into 8 levels according to the fresh grass yield. Standards at all levels are as follows: Level 1 Grassland: more than 12000k g of fresh grass per hectare of grassland; Level 2 Grassland: 9000kg ~ 12000kg fresh grass per hectare; Level 3 Grassland: 6000kg ~ 9000kg fresh grass per hectare; Level 4 Grassland: 4500kg ~ 6000kg fresh grass per hectare; Level 5 Grassland: 30001kg ~ 4500kg fresh grass per hectare; Grade 6 Grassland: 1500kg ~ 3000kg fresh grass per hectare; Grade 7 Grassland: 750KG ~ 1500kg fresh grass per hectare; Grade 8 Grassland: fresh grass per hectare is less than 750KG. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains two data tables, namely: Statistics of natural grassland grade area in Golmud City (2012) and statistics of natural grassland grade in Golmud City (1988). The data table structure is similar. For example, there are 9 fields in the statistical data of natural grassland grade area in Golmud City (2012): Field 1: Total Field 2: Level 1 Field 3: Level 2 Field 4: Level 3 Field 5: Level 4 Field 6: Level 5 Field 7:6 level Field 8: Level 7 Field 9: level 8
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of grassland type area and livestock carrying capacity in Golmud City, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grassland group code, such as: I represents Alpine dry grassland, II represents mountain dry grassland, III represents Alpine desert, B represents medium grass group, J represents shrub group, etc, For specific grassland group type codes and their corresponding meanings, see "description of grassland group type codes in Qinghai Province. PDF" in the data set. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains three data tables, which are: statistical data of grassland type area and livestock carrying capacity in Golmud City (1988), statistical data of grassland type area and livestock carrying capacity in Golmud City (2012) and code description of grassland type in Qinghai Province. The data table structure is similar. For example, there are 8 fields in the statistical data (2012) of grassland type, area and livestock carrying capacity in Golmud City: Field 1: type code Field 2: grassland type name Field 3: grassland area Field 4: available area of grassland Field 5: average unit yield of fresh grass Field 6: average unit yield of edible fresh grass Field 7: stocking capacity Field 8: grassland type grade
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of natural grassland grade area in Gangcha County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grade code of natural grassland. The grassland is divided into five grades: excellent, good, medium, low and inferior based on the grassland type. The classification criteria of each grade are as follows: Grade I (excellent) Grassland: the weight of excellent forage accounts for more than 60%; Grade II (good grade) Grassland: the weight of grass above good grade accounts for more than 60%, and that of other types accounts for 40%; Grade III (medium) Grassland: the weight of forages above the medium category accounts for more than 60%, and that of other categories accounts for 40%; Grade IV (low) Grassland: the weight of grass above the low category accounts for more than 60%, and that of other categories accounts for 40%; Grade V (inferior) Grassland: the weight of inferior forage accounts for more than 40% The grassland level is divided into 8 levels according to the fresh grass yield. Standards at all levels are as follows: Level 1 Grassland: more than 12000k g of fresh grass per hectare of grassland; Level 2 Grassland: 9000kg ~ 12000kg fresh grass per hectare; Level 3 Grassland: 6000kg ~ 9000kg fresh grass per hectare; Level 4 Grassland: 4500kg ~ 6000kg fresh grass per hectare; Level 5 Grassland: 30001kg ~ 4500kg fresh grass per hectare; Grade 6 Grassland: 1500kg ~ 3000kg fresh grass per hectare; Grade 7 Grassland: 750KG ~ 1500kg fresh grass per hectare; Grade 8 Grassland: fresh grass per hectare is less than 750KG. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains two data tables, namely: statistical data of natural grassland grade area in Gangca county (2012) and statistical data of natural grassland grade in Gangca county (1988). The data table structure is similar. For example, there are 9 fields in the statistical data of natural grassland grade area in Gangcha county (2012): Field 1: Total Field 2: Level 1 Field 3: Level 2 Field 4: Level 3 Field 5: Level 4 Field 6: Level 5 Field 7:6 level Field 8: Level 7 Field 9: level 8
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of grassland type area and livestock carrying capacity in Gangcha County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grassland group code, such as: I represents Alpine dry grassland, II represents mountain dry grassland, III represents Alpine desert, B represents medium grass group, J represents shrub group, etc, For specific grassland group type codes and their corresponding meanings, see "description of grassland group type codes in Qinghai Province. PDF" in the data set. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains three data tables, namely: grassland type area and livestock carrying capacity statistics of Gangca county (1988), grassland type area and livestock carrying capacity statistics of Gangca county (2012) and grassland group code description of Qinghai Province. The data table structure is similar. For example, there are 8 fields in the statistical data (2012) of grassland type, area and livestock carrying capacity in Gangca County: Field 1: type code Field 2: grassland type name Field 3: grassland area Field 4: available area of grassland Field 5: average unit yield of fresh grass Field 6: average unit yield of edible fresh grass Field 7: stocking capacity Field 8: grassland type grade
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of natural grassland grade area in Gande County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grade code of natural grassland. The grassland is divided into five grades: excellent, good, medium, low and inferior based on the grassland type. The classification criteria of each grade are as follows: Grade I (excellent) Grassland: the weight of excellent forage accounts for more than 60%; Grade II (good grade) Grassland: the weight of grass above good grade accounts for more than 60%, and that of other types accounts for 40%; Grade III (medium) Grassland: the weight of forages above the medium category accounts for more than 60%, and that of other categories accounts for 40%; Grade IV (low) Grassland: the weight of grass above the low category accounts for more than 60%, and that of other categories accounts for 40%; Grade V (inferior) Grassland: the weight of inferior forage accounts for more than 40% The grassland level is divided into 8 levels according to the fresh grass yield. Standards at all levels are as follows: Level 1 Grassland: more than 12000k g of fresh grass per hectare of grassland; Level 2 Grassland: 9000kg ~ 12000kg fresh grass per hectare; Level 3 Grassland: 6000kg ~ 9000kg fresh grass per hectare; Level 4 Grassland: 4500kg ~ 6000kg fresh grass per hectare; Level 5 Grassland: 30001kg ~ 4500kg fresh grass per hectare; Grade 6 Grassland: 1500kg ~ 3000kg fresh grass per hectare; Grade 7 Grassland: 750KG ~ 1500kg fresh grass per hectare; Grade 8 Grassland: fresh grass per hectare is less than 750KG. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains two data tables, namely: the statistical data of natural grassland grade area in Gande county (2012) and the statistical data of natural grassland grade in Gande county (1988). The data table structure is similar. For example, there are 9 fields in the statistical data of natural grassland grade area in Gande county (2012): Field 1: Total Field 2: Level 1 Field 3: Level 2 Field 4: Level 3 Field 5: Level 4 Field 6: Level 5 Field 7:6 level Field 8: Level 7 Field 9: level 8
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of grassland type area and livestock carrying capacity in Gande County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grassland group code, such as: I represents Alpine dry grassland, II represents mountain dry grassland, III represents Alpine desert, B represents medium grass group, J represents shrub group, etc, For specific grassland group type codes and their corresponding meanings, see "description of grassland group type codes in Qinghai Province. PDF" in the data set. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains three data tables, namely: statistical data of grassland type area and livestock carrying capacity in Gande county (1988), statistical data of grassland type area and livestock carrying capacity in Gande county (2012) and code description of grassland type in Qinghai Province. The data table structure is similar. For example, there are 8 fields in the statistical data (2012) of grassland type, area and livestock carrying capacity in Gande County: Field 1: type code Field 2: grassland type name Field 3: grassland area Field 4: available area of grassland Field 5: average unit yield of fresh grass Field 6: average unit yield of edible fresh grass Field 7: stocking capacity Field 8: grassland type grade
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of natural grassland grade area in Dulan County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grade code of natural grassland. The grassland is divided into five grades: excellent, good, medium, low and inferior based on the grassland type. The classification criteria of each grade are as follows: Grade I (excellent) Grassland: the weight of excellent forage accounts for more than 60%; Grade II (good grade) Grassland: the weight of grass above good grade accounts for more than 60%, and that of other types accounts for 40%; Grade III (medium) Grassland: the weight of forages above the medium category accounts for more than 60%, and that of other categories accounts for 40%; Grade IV (low) Grassland: the weight of grass above the low category accounts for more than 60%, and that of other categories accounts for 40%; Grade V (inferior) Grassland: the weight of inferior forage accounts for more than 40% The grassland level is divided into 8 levels according to the fresh grass yield. Standards at all levels are as follows: Level 1 Grassland: more than 12000k g of fresh grass per hectare of grassland; Level 2 Grassland: 9000kg ~ 12000kg fresh grass per hectare; Level 3 Grassland: 6000kg ~ 9000kg fresh grass per hectare; Level 4 Grassland: 4500kg ~ 6000kg fresh grass per hectare; Level 5 Grassland: 30001kg ~ 4500kg fresh grass per hectare; Grade 6 Grassland: 1500kg ~ 3000kg fresh grass per hectare; Grade 7 Grassland: 750KG ~ 1500kg fresh grass per hectare; Grade 8 Grassland: fresh grass per hectare is less than 750KG. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains two data tables, namely: statistical data of natural grassland grade area in Dulan county (2012) and statistical data of natural grassland grade in Dulan county (1988). The data table structure is similar. For example, there are 9 fields in the statistical data of natural grassland grade area in Dulan county (2012): Field 1: Total Field 2: Level 1 Field 3: Level 2 Field 4: Level 3 Field 5: Level 4 Field 6: Level 5 Field 7:6 level Field 8: Level 7 Field 9: level 8
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of grassland type area and livestock carrying capacity in Dulan County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grassland group code, such as: I represents Alpine dry grassland, II represents mountain dry grassland, III represents Alpine desert, B represents medium grass group, J represents shrub group, etc, For specific grassland group type codes and their corresponding meanings, see "description of grassland group type codes in Qinghai Province. PDF" in the data set. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains three data tables, which are: grassland type area and livestock carrying capacity statistics of Dulan county (1988), grassland type area and livestock carrying capacity statistics of Dulan county (2012) and code description of grassland type in Qinghai Province. The data table structure is similar. For example, there are 8 fields in the statistical data (2012) of grassland type, area and livestock carrying capacity in Dulan County: Field 1: type code Field 2: grassland type name Field 3: grassland area Field 4: available area of grassland Field 5: average unit yield of fresh grass Field 6: average unit yield of edible fresh grass Field 7: stocking capacity Field 8: grassland type grade
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of natural grassland grade area in Datong County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grade code of natural grassland. The grassland is divided into five grades: excellent, good, medium, low and poor with grassland type as the basic unit. The classification criteria of each grade are as follows: Grade I (excellent) Grassland: the weight of excellent forage accounts for more than 60%; Grade II (good grade) Grassland: the weight of grass above good grade accounts for more than 60%, and that of other types accounts for 40%; Grade III (medium) Grassland: the weight of forages above the medium category accounts for more than 60%, and that of other categories accounts for 40%; Grade IV (low) Grassland: the weight of grass above the low category accounts for more than 60%, and that of other categories accounts for 40%; Grade V (inferior) Grassland: the weight of inferior forage accounts for more than 40% The grassland level is divided into 8 levels according to the fresh grass yield. Standards at all levels are as follows: Level 1 Grassland: more than 12000k g of fresh grass per hectare of grassland; Level 2 Grassland: 9000kg ~ 12000kg fresh grass per hectare; Level 3 Grassland: 6000kg ~ 9000kg fresh grass per hectare; Level 4 Grassland: 4500kg ~ 6000kg fresh grass per hectare; Level 5 Grassland: 30001kg ~ 4500kg fresh grass per hectare; Grade 6 Grassland: 1500kg ~ 3000kg fresh grass per hectare; Grade 7 Grassland: 750KG ~ 1500kg fresh grass per hectare; Grade 8 Grassland: fresh grass per hectare is less than 750KG. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains two data tables: statistical data of natural grassland grade area in Datong County (2012) and statistical data of natural grassland grade in Datong County (1988). The data table structure is similar. For example, the statistical data of natural grassland grade area in Datong County (2012) has 8 fields: Field 1: Total Field 2: Level 1 Field 3: Level 2 Field 4: Level 3 Field 5: Level 4 Field 6: Level 5 Field 7:6 level Field 8: Level 7
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of grassland type area and livestock carrying capacity in Datong County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grassland group code, such as: I represents Alpine dry grassland, II represents mountain dry grassland, III represents Alpine desert, B represents medium grass group, J represents shrub group, etc, For specific grassland group type codes and their corresponding meanings, see "description of grassland group type codes in Qinghai Province. PDF" in the data set. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains three data tables, which are: statistical data of grassland type area and livestock carrying capacity in Datong County (1988), statistical data of grassland type area and livestock carrying capacity in Datong County (2012) and code description of grassland type in Qinghai Province. The data table structure is similar. For example, there are 8 fields in the statistical data (2012) of grassland type area and livestock carrying capacity in Datong County: Field 1: type code Field 2: grassland type name Field 3: grassland area Field 4: available area of grassland Field 5: average unit yield of fresh grass Field 6: average unit yield of edible fresh grass Field 7: stocking capacity Field 8: grassland type grade
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of natural grassland grade area of Dachaidan Administrative Committee of Qinghai Province in 1988 and 2012. The data are classified and counted according to the grade code of natural grassland. The grassland type is the basic unit and is divided into five grades: excellent, good, medium, low and poor. The classification criteria of each grade are as follows: Grade I (excellent) Grassland: the weight of excellent forage accounts for more than 60%; Grade II (good grade) Grassland: the weight of grass above good grade accounts for more than 60%, and that of other types accounts for 40%; Grade III (medium) Grassland: the weight of forages above the medium category accounts for more than 60%, and that of other categories accounts for 40%; Grade IV (low) Grassland: the weight of grass above the low category accounts for more than 60%, and that of other categories accounts for 40%; Grade V (inferior) Grassland: the weight of inferior forage accounts for more than 40% The grassland level is divided into 8 levels according to the fresh grass yield. Standards at all levels are as follows: Level 1 Grassland: more than 12000k g of fresh grass per hectare of grassland; Level 2 Grassland: 9000kg ~ 12000kg fresh grass per hectare; Level 3 Grassland: 6000kg ~ 9000kg fresh grass per hectare; Level 4 Grassland: 4500kg ~ 6000kg fresh grass per hectare; Level 5 Grassland: 30001kg ~ 4500kg fresh grass per hectare; Grade 6 Grassland: 1500kg ~ 3000kg fresh grass per hectare; Grade 7 Grassland: 750KG ~ 1500kg fresh grass per hectare; Grade 8 Grassland: fresh grass per hectare is less than 750KG. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains two data tables, namely: the statistical data of natural grassland grade area of Dachaidan Administrative Committee (2012) and the statistical data of natural grassland grade of Dachaidan town (1988). The data table structure is similar. For example, there are 9 fields in the statistical data (2012) of natural grassland grade area of Dachaidan Administrative Committee: Field 1: Total Field 2: Level 1 Field 3: Level 2 Field 4: Level 3 Field 5: Level 4 Field 6: Level 5 Field 7:6 level Field 8: Level 7 Field 9: level 8
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of grassland type area and livestock carrying capacity of Dachaidan Administrative Committee of Qinghai Province in 1988 and 2012. The data are classified and counted according to the grassland group code, such as: I represents Alpine dry grassland, II represents mountain dry grassland, III represents Alpine desert, grass group in generation B, J represents shrub group, etc, For specific grassland group type codes and their corresponding meanings, see "description of grassland group type codes in Qinghai Province. PDF" in the data set. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains three data tables, namely: statistical data of grassland type area and livestock carrying capacity in Dachaidan town (1988), statistical data of grassland type area and livestock carrying capacity of Dachaidan Administrative Committee (2012) and code description of grassland type in Qinghai Province. The data table structure is similar. For example, there are 8 fields in the statistical data (2012) of grassland type, area and livestock carrying capacity of Dachaidan Administrative Committee: Field 1: type code Field 2: grassland type name Field 3: grassland area Field 4: available area of grassland Field 5: average unit yield of fresh grass Field 6: average unit yield of edible fresh grass Field 7: stocking capacity Field 8: grassland type grade
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of natural grassland grade area in dari County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grade code of natural grassland. The grassland is divided into five grades: excellent, good, medium, low and inferior based on the grassland type. The classification criteria of each grade are as follows: Grade I (excellent) Grassland: the weight of excellent forage accounts for more than 60%; Grade II (good grade) Grassland: the weight of grass above good grade accounts for more than 60%, and that of other types accounts for 40%; Grade III (medium) Grassland: the weight of forages above the medium category accounts for more than 60%, and that of other categories accounts for 40%; Grade IV (low) Grassland: the weight of grass above the low category accounts for more than 60%, and that of other categories accounts for 40%; Grade V (inferior) Grassland: the weight of inferior forage accounts for more than 40% The grassland level is divided into 8 levels according to the fresh grass yield. Standards at all levels are as follows: Level 1 Grassland: more than 12000k g of fresh grass per hectare of grassland; Level 2 Grassland: 9000kg ~ 12000kg fresh grass per hectare; Level 3 Grassland: 6000kg ~ 9000kg fresh grass per hectare; Level 4 Grassland: 4500kg ~ 6000kg fresh grass per hectare; Level 5 Grassland: 30001kg ~ 4500kg fresh grass per hectare; Grade 6 Grassland: 1500kg ~ 3000kg fresh grass per hectare; Grade 7 Grassland: 750KG ~ 1500kg fresh grass per hectare; Grade 8 Grassland: fresh grass per hectare is less than 750KG. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains two data tables, namely: the statistical data of natural grassland grade area in dari county (2012) and the statistical data of natural grassland grade in dari county (1988). The data table structure is similar. For example, there are 9 fields in the statistical data of natural grassland grade area in dari county (2012): Field 1: Total Field 2: Level 1 Field 3: Level 2 Field 4: Level 3 Field 5: Level 4 Field 6: Level 5 Field 7:6 level Field 8: Level 7 Field 9: level 8
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of grassland type area and livestock carrying capacity in dari County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grassland group code, such as: I represents Alpine dry grassland, II represents mountain dry grassland, III represents Alpine desert, B represents medium grass group, J represents shrub group, etc, For specific grassland group type codes and their corresponding meanings, see "description of grassland group type codes in Qinghai Province. PDF" in the data set. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains three data tables, namely: statistical data of grassland type area and livestock carrying capacity in dari county (1988), statistical data of grassland type area and livestock carrying capacity in dari county (2012) and code description of grassland type in Qinghai Province. The data table structure is similar. For example, there are 8 fields in the statistical data (2012) of grassland type, area and livestock carrying capacity in dari County: Field 1: type code Field 2: grassland type name Field 3: grassland area Field 4: available area of grassland Field 5: average unit yield of fresh grass Field 6: average unit yield of edible fresh grass Field 7: stocking capacity Field 8: grassland type grade
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of natural grassland grade area in Chengduo County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grade code of natural grassland. The grassland is divided into five grades: excellent, good, medium, low and poor with grassland type as the basic unit. The classification criteria of each grade are as follows: Grade I (excellent) Grassland: the weight of excellent forage accounts for more than 60%; Grade II (good grade) Grassland: the weight of grass above good grade accounts for more than 60%, and that of other types accounts for 40%; Grade III (medium) Grassland: the weight of forages above the medium category accounts for more than 60%, and that of other categories accounts for 40%; Grade IV (low) Grassland: the weight of grass above the low category accounts for more than 60%, and that of other categories accounts for 40%; Grade V (inferior) Grassland: the weight of inferior forage accounts for more than 40% The grassland level is divided into 8 levels according to the fresh grass yield. Standards at all levels are as follows: Level 1 Grassland: more than 12000k g of fresh grass per hectare of grassland; Level 2 Grassland: 9000kg ~ 12000kg fresh grass per hectare; Level 3 Grassland: 6000kg ~ 9000kg fresh grass per hectare; Level 4 Grassland: 4500kg ~ 6000kg fresh grass per hectare; Level 5 Grassland: 30001kg ~ 4500kg fresh grass per hectare; Grade 6 Grassland: 1500kg ~ 3000kg fresh grass per hectare; Grade 7 Grassland: 750KG ~ 1500kg fresh grass per hectare; Grade 8 Grassland: fresh grass per hectare is less than 750KG. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains two data tables, namely: statistical data of natural grassland grade area in Chengduo county (2012) and statistical data of natural grassland grade in Chengduo county (1988). The data table structure is similar. For example, the statistical data of natural grassland grade area in Chengduo county (2012) has 9 fields: Field 1: Total Field 2: Level 1 Field 3: Level 2 Field 4: Level 3 Field 5: Level 4 Field 6: Level 5 Field 7:6 level Field 8: Level 7 Field 9: level 8
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of grassland type area and livestock carrying capacity in Chengduo County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grassland group code, such as: I represents Alpine dry grassland, II represents mountain dry grassland, III represents Alpine desert, B represents medium grass group, J represents shrub group, etc, For specific grassland group type codes and their corresponding meanings, see "description of grassland group type codes in Qinghai Province. PDF" in the data set. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains three data tables, namely: statistical data of grassland type area and livestock carrying capacity in Chengduo county (1988), statistical data of grassland type area and livestock carrying capacity in Chengduo county (2012) and code description of grassland type in Qinghai Province. The data table structure is similar. For example, there are 8 fields in the statistical data (2012) of grassland type area and livestock carrying capacity in Chengduo County: Field 1: type code Field 2: grassland type name Field 3: grassland area Field 4: available area of grassland Field 5: average unit yield of fresh grass Field 6: average unit yield of edible fresh grass Field 7: stocking capacity Field 8: grassland type grade
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of natural grassland grade area in Bama County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grade code of natural grassland. The grassland is divided into five grades: excellent, good, medium, low and poor based on the grassland type. The classification criteria of each grade are as follows: Grade I (excellent) Grassland: the weight of excellent forage accounts for more than 60%; Grade II (good grade) Grassland: the weight of grass above good grade accounts for more than 60%, and that of other types accounts for 40%; Grade III (medium) Grassland: the weight of forages above the medium category accounts for more than 60%, and that of other categories accounts for 40%; Grade IV (low) Grassland: the weight of grass above the low category accounts for more than 60%, and that of other categories accounts for 40%; Grade V (inferior) Grassland: the weight of inferior forage accounts for more than 40% The grassland level is divided into 8 levels according to the fresh grass yield. Standards at all levels are as follows: Level 1 Grassland: more than 12000k g of fresh grass per hectare of grassland; Level 2 Grassland: 9000kg ~ 12000kg fresh grass per hectare; Level 3 Grassland: 6000kg ~ 9000kg fresh grass per hectare; Level 4 Grassland: 4500kg ~ 6000kg fresh grass per hectare; Level 5 Grassland: 30001kg ~ 4500kg fresh grass per hectare; Grade 6 Grassland: 1500kg ~ 3000kg fresh grass per hectare; Grade 7 Grassland: 750KG ~ 1500kg fresh grass per hectare; Grade 8 Grassland: fresh grass per hectare is less than 750KG. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains two data tables, namely: Statistics of natural grassland grade area in Bama County (2012) and statistics of natural grassland grade in Bama County (1988). The data table structure is similar. For example, there are 9 fields in the statistical data of natural grassland grade area in Bama County (2012): Field 1: Total Field 2: Level 1 Field 3: Level 2 Field 4: Level 3 Field 5: Level 4 Field 6: Level 5 Field 7:6 level Field 8: Level 7 Field 9: level 8
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of grassland type area and livestock carrying capacity in Bama County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grassland group code, such as: I represents Alpine dry grassland, II represents mountain dry grassland, III represents Alpine desert, B represents medium grass group, J represents shrub group, etc, For specific grassland group type codes and their corresponding meanings, see "description of grassland group type codes in Qinghai Province. PDF" in the data set. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains three data tables, which are: grassland type area and livestock carrying capacity statistics of Bama County (2012), grassland type area and livestock carrying capacity statistics of Bama County (1988) and grassland type code description of Qinghai Province. The data table structure is similar. For example, there are 8 fields in the statistical data (2012) of grassland type, area and livestock carrying capacity in Bama County: Field 1: type code Field 2: grassland type name Field 3: grassland area Field 4: available area of grassland Field 5: average unit yield of fresh grass Field 6: average unit yield of edible fresh grass Field 7: stocking capacity Field 8: grassland type grade
AGRICULTURAL AND RURAL Department of Qinghai Province
In 2017, 27 surface sediments were collected in Qinghai Lake by gravity sampler, and the top 1cm was taken as the surface layer, which was freeze-dried and ground into powder after being taken back to the laboratory. Before testing the content of organic carbon and nitrogen, 1mol / L hydrochloric acid should be used to stir the reaction for more than 10 hours, so that the carbonate is completely removed, then dried and ground, and the organic carbon and nitrogen are tested on the element analyzer. The total inorganic carbon content is the carbonate content of the whole rock powder sample measured by infrared spectrum, which is then calculated as the total inorganic carbon content. The contents of organic carbon and inorganic carbon constitute the total carbon content of the lake, and they are close to each other, indicating that the inorganic carbon burial flux and organic carbon burial flux of Qinghai Lake are similar.
MENG Xianqiang
The data includes ten typical hydropower stations in Datong River Basin of Qinghai-Tibet Plateau in July 2020, including Duolong Hydropower Station, Gousikou Hydropower Station, Jinxing Hydropower Station, Kasuoxia Hydropower Station, Liancheng Hydropower Station, Nazixia Hydropower Station, Stone Gorge Hydropower Station, Tianwanggou Hydropower Station, Tiemai Hydropower Station and Xueyitan Hydropower Station. Data are helpful to study the distribution and use of hydropower stations in Datong River Basin. The data were taken by the expedition team through aerial photography using DJI UAV RTK and Royal Series, and spliced by DJI mapping software. The aerial image data has high definition, which can obviously observe the water level difference between upstream and downstream of the hydropower station and the topographic distribution around the hydropower station. The data can be applied to the research field of hydropower stations in Qinghai-Tibet Plateau, providing relevant analysis data.
FU Bin
The Aerial photography dataset of typical small watersheds in Qinghai Province (Aerial photography dataset of typical small watersheds in Qinghai Province) is derived from the second Qinghai-Tibet Plateau scientific investigation in July 2020, using DJI drones to conduct surveys on small watersheds in Minhe County, Qinghai Province and Qinghai Province. Aerial photography of the surface sample zone in the east of the lake, including orthophoto (including three bands of red, green and blue), multi-spectrum, and point cloud data. All files in this dataset can be directly opened, viewed and processed with ArcGIS and ENVI software.
SU Zhengan
This data set contains experimentally measured soil nutrient data collected in typical small watersheds in Sichuan Province, Tibet Autonomous Region and Qinghai Province. The data comes from the survey of grassland, cultivated land, and woodland in Minhe County, Menyuan County and the east area of Qinghai Lake in the second Qinghai-Tibet Plateau scientific expedition, and recorded detailed soil parameters (including organic carbon, ph, soil Cation exchange capacity, water content, etc.) can provide important values for tracing the source of soil water erosion in small watershed areas and understanding the soil environment.
SU Zhengan
The data set records the output information of main crops in Qinghai Province from 1978 to 2016, mainly including grain, oil, fruit, meat and eggs and main industrial products, aluminum, crude oil, steel, cement and power generation. The data set contains three data tables (1. The data table of main industrial and agricultural products per capita has 17 fields; 2. The data table of crop production by counties has 13 fields; 3. The data table of main industrial and agricultural products per capita and main agricultural products. There are 6 fields in total). The data comes from: "Qinghai Social and Economic Statistical Yearbook" and "Qinghai Statistical Yearbook", with the same precision as the statistical yearbook extracted from the data. This data set is of great value for studying food security and agricultural production in Qinghai Province.
SU Zhengan
The data set is the vegetation sample survey photos of Qilian County in Qinghai Province during the second comprehensive scientific expedition to the Qinghai-Tibet Plateau. Iincluding the survey photos of 28 sample points in Qilian County in 2020. The photos of each sample point are placed in a separate In a folder, the folder is named the sample number. The photos of each sample point include photos of the landscape around the sample point, photos of the plant community in the sample square and close-up photos of the dominant species. The vegetation in the sample can be observed The status of the community, the status of the soil surface and the slope of the surrounding sampling area, human interference, etc. The photos are all original images, in jpg format, taken with a mobile phone or camera, and the specific latitude and longitude information of the sampling points are in a separate Excel table in the compressed package In, you can compare and view.
SHANG Zhanhuan
This data set records the altitude elevation of the main tourist attractions in Qinghai Province from 2002 to 2020. The data are based on the main tourist attractions in Qinghai Province, such as thar temple, Qinghai Lake, Qutan temple, kambula National Forest Park, the former residence of the 10th Panchen Lama, Mengda Tianchi, longbaotan black necked Crane nature reserve, the source of the Yangtze River, Chaerhan Salt Lake, bird island, Huzhu Beishan National Forest Park, the source of the Yellow River and a Nimaqing mountain, Jinyintan grassland scenery, bukadaban peak, Kunlun mountain pass, BeiChan temple, Qinghai Museum, Laoye Mountain, Huzhu Beishan National Forest Park, Jiezi mosque, Wendu temple, xiazong temple, Xiaqiong temple, Youning temple, Riyue mountain, Daotang River, Longyang Gorge, Qinghai Lake Resort, Yuhuangge, Chaka Salt Lake, atomic City, Lijiaxia gorge, Nanzong temple, Longwu temple Maixiu forest farm, Tubo burial tomb, Dulan international hunting ground and Hoh Xil no man's land. The data are compiled from the statistical yearbook of Qinghai Province issued by Qinghai Provincial Bureau of statistics. The dataset contains 19 data tables: The elevation of the main tourist attractions in the province was in 2002 xls The elevation of the main tourist attractions in the province was in 2003 xls The elevation of the main tourist attractions in the province was in 2004 xls The elevation of the main tourist attractions in the province was in 2006 xls The elevation of the main tourist attractions in the province was in 2007 xls The elevation of the main tourist attractions was in 2007 xls The elevation of the main tourist attractions in 2008 xls The elevation of main tourist attractions was in 2009 xls The elevation of main tourist attractions was in 2010 xls Elevation of main tourist attractions in 2011 xls Elevation of main tourist attractions in 2012 xls Elevation of main tourist attractions in 2013 xls Elevation of main tourist attractions in 2015 xls Elevation of main tourist attractions in 2016 xls Elevation of main tourist attractions in 2017 xls The elevation of the main tourist attractions will be in 2019 xls Elevation of main tourist attractions in Qinghai Province (2019) xls Elevation of main tourist attractions in Qinghai Province (2020) xls The elevation of the main tourist attractions in Qinghai Province (2020) is 1 xls , the data table structure is the same. For example, there are three fields in the elevation (2003) data table of major tourist attractions in the province: Field 1: name of tourist attraction Field 2: altitude (m) Field 3: geographic location
Qinghai Provincial Bureau of Statistics
The data set records the main economic benefit indexes of Qinghai Province, and the data are divided according to the main economic benefit indexes. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of three data tables Main economic benefit index 1985-1998.xls, Main economic benefit index 1985-1999.xls, The main economic benefit index is 1985-2000.xls. The data table structure is the same. For example, there are five fields in the business climate survey product sales climate index 2000-2001 data table Field 1: Indicators Field 2: Unit Field 3: 1985 Field 4: 1990 Field 5: 1995
Qinghai Provincial Bureau of Statistics
The data set recorded the output of major industrial products in Qinghai province from 1952 to 2020. Data by the cotton yarn, cotton, wool, wool, blankets, carpets, industrial, shoes, machine made paper and cardboard, crude salt, edible vegetable oil, matches, soap, synthetic detergent, cigarettes, liquor, beer, daily pure aluminum products, raw coal, crude oil, crude oil processing capacity, electricity, steel, aluminium, pure silicon, ferroalloy, wood, copper concentrate containing copper, nickel concentrate containing nickel, zinc concentrate Zinc and lead concentrates containing lead, caustic soda, sulfuric acid, sodium alum, borax, calcium carbide, synthetic ammonia, chemical fertilizer, metal cutting machine tools, automobiles, internal combustion engines, agricultural trailers, bulldozers, milk separator, telephone sets, cement, asbestos division. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 30 data tables, which are: Main years Main industrial product output 1952-1998. XLS Major years Output of major industrial products 1952-1999. XLS Main years Output of major industrial products 1952-2000. XLS Major years Output of major industrial products 1952-2001. XLS Main years Output of main industrial products 1952-2002. XLS Main years Main industrial product output 1952-2003. XLS Main years Output of main industrial products 1952-2004. XLS Main years Main industrial product output 1978-2006. XLS Main years Main industrial product output 1978-2007. XLS Main years Main industrial products output 1978-2008. XLS Main years Main industrial product output 1978-2005. XLS Main years Main industrial product output 1990-2009. XLS Main years Main industrial product output 1990-2010. XLS Total production of major industrial products 1998. XLS Total production of major industrial products 1999. XLS Total production of major industrial products in 2000. XLS Main industrial product output 2000-2001. XLS Main industrial product output 2001-2002. XLS Main industrial product output 2002-2003. XLS Main industrial product output 2004. XLS Output of main industrial products 2006-2011. XLS Output of major industrial products 2008-2013. XLS Output of major industrial products 2008-2014. XLS Output of major industrial products 2010-2015. XLS Main years Main industrial product output 2010-2016. XLS Output of major industrial products 2012-2017. XLS Output of major industrial products 2013-2018. XLS Main years Main industrial product output 2008-2012 XLS, Output of Major industrial Products in Qinghai Province 2015-2020.xLS, Output of major industrial products in Qinghai Province 2015-2020-1. XLS The data table structure is the same. For example, output of major industrial products 2000-2001 data table has 3 fields: Field 1: Product name Field 2:2000 Field 3:2001
Qinghai Provincial Bureau of Statistics
The data set records the basic situation of the registration of major scientific and technological achievements in Qinghai province from 1998 to 2020. The data are divided according to the achievement level, the application industry, the application situation, the number of projects with statistical economic benefits, and the economic benefits achieved in the current year after application. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 25 data tables, which are: Basic information of major scientific and technological achievements registration in Province.xls 1998 Basic information on registration of major scientific and technological achievements in Province.xls 1999 Basic information on registration of major scientific and technological achievements in Province.xls Basic information of provincial major scientific and technological achievements registration 2001. XLS Basic information on registration of major scientific and technological achievements in Province.xls 2002 Provincial major scientific and technological achievements registration in 2003. XLS Provincial major scientific and technological achievements registration in 2004. XLS Basic statistics on registration of major scientific and technological achievements 2004-2005. XLS The registration of major scientific and technological achievements in The province 2005-2006. XLS Basic information on registration of major scientific and technological achievements in The province 2006-2007. XLS Basic information of provincial major scientific and technological achievements registration 2008. XLS Basic information of provincial major scientific and technological achievements registration 2009. XLS Basic information of provincial major scientific and technological achievements Registration 2010. XLS Basic information of provincial major scientific and technological achievements registration 2011. XLS Basic information on the registration of major scientific and technological achievements in The province Basic information on registration of major scientific and technological achievements in The province The registration of major scientific and technological achievements in The province The registration of major scientific and technological achievements in The province in 2015. XLS Basic information of registration of major scientific and technological achievements in The province in 2016 Basic information on registration of major scientific and technological achievements in The province in 2017. XLS The registration of major scientific and technological achievements in The province in 2018. XLS The registration of major scientific and technological achievements in The province Basic information of provincial major scientific and technological achievements registration 2020. XLS The data table structure is the same. For example, there are five fields in the 2001 data table of the registration of major scientific and technological achievements in The province: Field 1: Category Field 2: Total Field 3: Research institution Field 4: Tertiary institution Field 5: Enterprise
Qinghai Provincial Bureau of Statistics
The data set records the situation of special care and social relief in Qinghai Province, and the data is divided according to the situation of special care and social relief in Qinghai Province. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of three data tables Special care and social relief in the whole province, 1998.xls, Special care and social relief in the whole province, 1999.xls, The situation of special care and social relief in the whole province was analyzed in 2000.xls. The data table structure is the same. For example, there are five fields in the data table of the province's preferential care and social relief in 1998 Field 1: preferential treatment object Field 2: Unit Field 3: Total Field 4: social relief target Field 5: Unit
Qinghai Provincial Bureau of Statistics
The data set records the land and natural resources of Qinghai Province, and the data is divided by land and natural resources. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of five data tables Land and natural resources 1998.xls Land and natural resources 1999.xls Land and natural resources 2000.xls Natural resources 2001.xls Natural resources 2002. XLS, data table structure is the same. For example, the 1998 data table of land and natural resources has three fields: Field 1: Indicators Field 2: Unit Field 3: 1998
Qinghai Provincial Bureau of Statistics
The data set records the current situation of land use in Qinghai Province. The data is divided by cultivated land, garden land, woodland, grassland, residential land, industrial and mining land, transportation land, water conservancy facilities land and unused land. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of 8 data tables Land use status 2002.xls Land use status in 2003.xls Land use status 2004.xls Land use status 2006.xls Land use status 2007.xls Land use status in 2008.xls Land use status in 2009.xls The structure of 2012. XLS data table is the same. For example, there are four fields in the data table of land use status in 2002 Field 1: area at the beginning of the year Field 2: area reduced during the year Field 3: area increased during the year Field 4: year end area
Qinghai Provincial Bureau of Statistics
The data set records the comprehensive sports data of Qinghai Province, and the data are divided according to the comprehensive sports data. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of 8 data tables Sports comprehensive data 2002.xls Sports comprehensive data 2003.xls Sports comprehensive data 2004.xls Sports comprehensive data 2005.xls Sports comprehensive information 2006.xls Sports comprehensive data 2007.xls Sports comprehensive data 2008.xls The structure of the. XLS data table in 2009 is the same. For example, there are five fields in the data table of sports comprehensive information (2003) Field 1: year Field 2: Total Field 3: direct Field 4: place Field 5: Xining City
Qinghai Provincial Bureau of Statistics
The data set records the basic situation of social welfare and minimum living security in Qinghai Province, and the data is divided according to the basic situation of social welfare and minimum living security. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of 13 tables Basic information of social welfare institutions and enterprises and others 1998.xls Basic information of social welfare institutions and enterprises and others, 1999.xls Basic information of social welfare institutions and enterprises and others 2000-2001.xls Basic information of social welfare institutions and enterprises and others, 2001-2002.xls Basic information of social welfare institutions and enterprises and others 2001-2003.xls Basic information of social welfare institutions and enterprises and others 2004-2005.xls Basic information of social welfare institutions and enterprises and others 2005-2006.xls Basic information of social welfare institutions and enterprises and others 2006-2007.xls Basic information of social welfare institutions and enterprises and others 2006-2008.xls Basic information of social welfare institutions and enterprises and others 2007-2009.xls Basic information of social welfare institutions and enterprises and others 2008-2010.xls Basic information of social welfare institutions and enterprises and others 2009-2011.xls The basic situation of social welfare and minimum living allowance from 2011 to 2012. XLS data table structure is the same. For example, there are three fields in the basic information of social welfare and subsistence allowances from 2011 to 2012 Field 1: Project Field 2: 2011 Field 3: 2012
Qinghai Provincial Bureau of Statistics
The data set records the population of ethnic minorities in Qinghai province from 1952 to 2019. The data is divided by the total population of ethnic minorities, Tibetan, Hui, Tu, Salar, Mongolian and other ethnic groups, and the proportion of the total population in the province. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 22 data tables, which are: Population of ethnic minorities in the province, 1952-1998. XLS Population of ethnic minorities in the province, 1952-1999. XLS Population of ethnic minorities in The province, 1952-2000. XLS Population of ethnic minorities in the province, 1952-2001. XLS Population of ethnic minorities 1952-2002. XLS Population of ethnic minorities 1952-2003. XLS Population of ethnic minorities in main years 1952-2004. XLS Population of ethnic minorities in main years 1952-2006. XLS Population of ethnic minorities in main years 1952-2008. XLS Population of ethnic minorities in main years 1952-2009. XLS Population of ethnic minorities in main years 1982-2010. XLS Population of ethnic minorities in main years 1985-2007. XLS Population of ethnic minorities in main years 1990-2005. XLS Population of ethnic minorities in main years 2000-2011. XLS Population of ethnic minorities in main years 2006-2013. XLS Population of ethnic minorities in main years 2006-2014. XLS Population of ethnic minorities in main years 2006-2015. XLS Population of ethnic minorities in main years 2006-2016. XLS Population of ethnic minorities in main years 2006-2019. XLS Population of ethnic minorities in main years 2005-2012. XLS Population of ethnic minorities, 2006-2017. XLS Population of ethnic minorities, 2006-2018. XLS data table structure is the same. For example, the data table of the population of ethnic minorities in the province from 1952 to 1998 has 8 fields: Field 1: ethnic group Field 2:1952 Field 3:1978 Field 4:1982 Field 5:1990 Field 6:1996 Field 7:1997 Field 8:1998
Qinghai Provincial Bureau of Statistics
Contact Support
Northwest Institute of Eco-Environment and Resources, CAS
0931-4967287
poles@itpcas.ac.cn
Links
National Tibetan Plateau Data CenterFollow Us
A Big Earth Data Platform for Three Poles © 2018-2020 No.05000491 | All Rights Reserved
｜ 
No.11010502040845
Tech Support: westdc.cn
