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
The data set records the retail price of commodities and the price index of agricultural means of production in Qinghai Province. The data is divided according to the retail price of commodities and the price index of agricultural means of production in 1998. 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 Retail price of commodities and price index of agricultural means of production in the whole province, 1998.xls The retail price of commodities and the price index of agricultural means of production in the whole province, 1999.xls Retail price of commodities and price index of agricultural means of production in the whole province, 2000.xls Commodity retail price and agricultural means of production price index 2001.xls The retail price of commodities and the price index of agricultural means of production in 2002. XLS have the same data table structure. For example, there are four fields in the data table of retail price of commodities and price index of agricultural means of production in 1998 Field 1: Category Field 2: Province Field 3: City Field 4: Rural
Qinghai Provincial Bureau of Statistics
The data set records the discharge, treatment and comprehensive utilization of the three wastes in Qinghai Province. The data is divided according to the discharge, treatment and comprehensive utilization of the three wastes 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 two data tables Discharge, treatment and comprehensive utilization of three wastes in the whole province, 1990-1999, Discharge, treatment and comprehensive utilization of three wastes in the whole province, 1990-2000.xls. The data table structure is the same. For example, there are 12 fields in the 1990-1999 data sheet on the discharge, treatment and comprehensive utilization of the three wastes in the whole province Field 1: Category Field 2: Unit Field 3: 1990 Field 4: 1991 Field 5: 1992 Field 6: 1993 Field 7:1994 Field 8:1995 Field 9: 1996 Field 10:1997 Field 11:1998 Field 12:1999
Qinghai Provincial Bureau of Statistics
This data set records the mechanical changes of population in Qinghai Province from 1952 to 2018. The data is divided by year. The data is the annual report data of the provincial public security department. The immigration and emigration population after 1985 are inter provincial immigration and emigration. The data in 1952 is based on the China population · Qinghai volume published by China finance and Economics Press Based on relevant data. The data are compiled from the statistical yearbook of Qinghai Province issued by Qinghai Provincial Bureau of statistics. The dataset contains 25 data tables: Changes of population and machinery in Qinghai Province in Main Years (1990-2019) xls Changes in population and machinery in major years 1952-2004 xls Changes in population and machinery in major years 1952-2008 xls Changes in population and machinery in major years 1952-2009 xls Changes in population and machinery in major years 1952-2010 xls Changes in population and machinery in major years 1952-2011 xls Changes in population and machinery in major years 1952-2012 xls Changes in population and machinery in major years 1952-2013 xls Changes in population and machinery in major years 1952-2014 xls Changes in population and machinery in major years 1952-2015 xls Changes in population and machinery in major years 1952-2016 xls Changes in population and machinery in major years 1952-2006 xls Changes in population and machinery in major years 1952-2007 xls Mechanical changes in population in Main Years 1987-2005 xls Changes in population and machinery in major years 1990-2017 xls Changes in population and machinery in major years 1990-2018 xls Main population changes 1952-2001 xls Main population changes 1952-2002 xls Population changes 1952-2003 xls Changes in population machinery, 1952-2002 xls Changes in population and machinery, 1952-2003 xls Changes of population and machinery in the whole province from 1952 to 1998 xls Changes of population and machinery in the whole province from 1952 to 1999 xls Changes of population and machinery in the whole province from 1952 to 2000 xls Changes of population and machinery in the whole province from 1952 to 2001 The XLS data table has the same structure. For example, there are five fields in the 1952-1998 data table of population and machinery changes in the province: Field 1: year Field 2: number of people Field 3: migration rate Field 4: number of people Field 5: emigration rate
Qinghai Provincial Bureau of Statistics
The data set records the environmental pollution control situation of enterprises and institutions in Qinghai Province, and the data is divided according to the environmental pollution control situation of enterprises and institutions. 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 six tables Environmental pollution control of enterprises and institutions in the whole province, 1995-1998.xls Environmental pollution control of enterprises and institutions in the whole province, 1990-1999.xls Environmental pollution control of enterprises and institutions in the whole province, 1990-2000.xls Environmental pollution control of enterprises and institutions in the whole province, 1990-2001.xls Environmental pollution control of enterprises and institutions in the whole province, 1990-2002.xls The structure of the data sheet 1990-2003.xls is the same. For example, there are eight fields in the data table of environmental pollution control of enterprises and institutions from 1990 to 2003 Field 1: Category Field 2: 1990 Field 3: 1995 Field 4: 1999 Field 5: 2000 Field 6: xls2001 Field 7: xls2002 Field 8: xls2003
Qinghai Provincial Bureau of Statistics
The data set records the situation of village level health organizations in Qinghai Province, and the data are divided by administrative districts and counties. 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 The situation of rural health organizations in the whole province, 1998.xls, The situation of rural health organizations in the whole province, 1999.xls, The situation of rural health organizations in the whole province was analyzed in 2000.xls. The data table structure is the same. For example, there are four fields in the 1998 data sheet of rural health organizations in the whole province Field 1: Project Field 2: 1998 Field 3: Project Field 4: 1999
Qinghai Provincial Bureau of Statistics
The data set records the number of students per 10,000 population in Qinghai province from 1952 to 2020, and the data is divided by statistical year. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 22 data tables, which are: Number of students per 10,000 population in Qinghai Province (1957-2020). XLS Number of students per 10,000 population in the province, 1952-1998. XLS Number of students per 10,000 population in the province, 1952-1999. XLS Number of students per 10,000 population in the province, 1952-2000. XLS Number of students per 10,000 population in the province, 1952-2001. XLS Number of students per 10,000 population in The province, 1952-2002. XLS Number of students per 10,000 population in the province 1952-2003. XLS Number of students per 10,000 population in the province, 1952-2004. XLS Main years Number of students per 10,000 population in the province 1952-2006. XLS Main years Number of students per 10,000 population in the province 1952-2007. XLS Main years Number of students per 10,000 population in the province 1952-2008. XLS Number of students per 10,000 population in the province 1952-2009. XLS Number of students per 10,000 population in the province 1952-2011. XLS Number of students per 10,000 population in the province 1952-2012. XLS Number of students per 10,000 population in The province 1952-2013. XLS Number of students per 10,000 population in The province 1952-2014. XLS Number of students per 10,000 population in The province 1952-2015. XLS Number of students per 10,000 population in The province 1952-2016. XLS Number of students per 10,000 population in The province from 1957 to 2017. XLS Number of students per 10,000 population in The province, 1957-2018. XLS Number of students per 10,000 population in the province, 1963-2010. XLS Number of students per 10,000 population in main years 1996 -2005. XLS The data table structure is the same. For example, the number of students per 10,000 population in the province from 1952 to 1998 has 6 fields: Field 1: Year Field 2: College students Field 3: Secondary school students Field 4: Intermediate division Field 5: Secondary school students
Qinghai Provincial Bureau of Statistics
The data set records the basic situation of science and technology activities in Qinghai Province, and the data is divided according to the basic situation of science and technology activities 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 10 tables Basic situation of science and technology activities in the whole province, 2002-2006.xls Basic situation of science and technology activities in the whole province, 2002-2007.xls Basic situation of science and technology activities in the whole province 2005-2008.xls Science and technology activities of the whole province, 2011-2012.xls Science and technology activities of the whole province, 2012-2013.xls Science and technology activities of the whole province, 2013-2014.xls Science and technology activities of the whole province, 2014-2015.xls Science and technology activities of the whole province, 2015-2016.xls Science and technology activities of the whole province, 2016-2017.xls Science and technology activities of the whole province in 2017. XLS, the data table structure is the same. For example, there are six fields in the 2002-2006 data table of the basic situation of science and technology activities of the whole province Field 1: Indicators Field 2: 2002 Field 3: 2003 Field 4: 2004 Field 5: 2005 Field 6: 2006
Qinghai Provincial Bureau of Statistics
The data set records the completed housing area of Qinghai Province, and the data is divided according to the completed housing area of 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 The area of completed houses in the whole province from 1996 to 1998.xls, The area of completed houses in the whole province from 1997 to 1999.xls, The area of completed houses in the whole province was from 1997 to 2000.xls. The data table structure is the same. For example, there are eight fields in the data table of the completed housing area of the whole province from 1996 to 1998 Field 1: Infrastructure Field 2: update Field 3: Other Investments Field 4: real estate development Field 5: urban collective Field 6: rural collective Field 7: Town private Field 8: rural private sector
Qinghai Provincial Bureau of Statistics
The data set records the price index of agricultural means of production in Qinghai Province and the investigated counties. The data are divided according to the retail prices of commodities and the price index of agricultural means of production in the investigated cities and counties. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains 30 data tables The price index of agricultural means of production of the whole province and investigated counties in 2003.xls The price index of agricultural means of production of the whole province and investigated counties in 2004.xls The price index of agricultural means of production of the whole province and investigated counties in 2005.xls The price index of agricultural means of production of the whole province and investigated counties in 2006.xls The price index of agricultural means of production of the whole province and investigated counties 2007.xls Price index of agricultural means of production of the whole province and investigated counties, 2008.xls Price index of agricultural means of production of the whole province and investigated counties, 2009.xls Price index of agricultural means of production of the whole province and investigated counties, 2010.xls Price index of agricultural means of production of the whole province and investigated counties, 2011.xls Price index of agricultural means of production of the whole province and investigated counties, 2012.xls Price index of agricultural means of production of the whole province and investigated counties, 2013.xls Price index of agricultural means of production of the whole province and investigated counties, 2014.xls Price index of agricultural means of production of the whole province and investigated counties, 2015.xls Price index of agricultural means of production of the whole province and investigated counties, 2016.xls Price index of agricultural means of production of the whole province and investigated counties, 2017.xls Price index of agricultural means of production of the whole province and investigated counties, 2018.xls Fixed base price index of agricultural means of production of the whole province and investigated counties, 2006.xls Fixed base price index of agricultural means of production of the whole province and investigated counties 2007.xls Fixed base price index of agricultural means of production of the whole province and investigated counties, 2008.xls Retail prices of commodities and price index of agricultural means of production in cities and counties surveyed, 1998.xls Retail prices of commodities and price index of agricultural means of production in cities and counties surveyed, 1999.xls Retail prices of commodities and price index of agricultural means of production in cities and counties surveyed in 2000.xls Price index of commodity retail and agricultural means of production in cities and counties in 2001.xls Price index of commodity retail and agricultural means of production in cities and counties in 2002.xls Price base index of agricultural means of production of the whole province and investigated counties, 2009.xls Price base index of agricultural means of production of the whole province and investigated counties, 2010.xls The price fixed base index of agricultural means of production of the whole province and the investigated counties, 2011.xls Price base index of agricultural means of production of the whole province and investigated counties, 2012.xls Price base index of agricultural means of production of the whole province and investigated counties, 2013.xls The structure of 2014. XLS data table is the same. For example, there are seven fields in the 1999 data table of commodity retail prices and agricultural means of production price index of cities and counties surveyed Field 1: Province Field 2: Datong County Field 3: Ledu District Field 4: safe area Field 5: Haiyan County Field 6: Tongren County Field 7: Gonghe County
Qinghai Provincial Bureau of Statistics
The data set records the price base index of agricultural means of production in Qinghai Province and the investigated counties (districts). The data is divided according to the price base index of agricultural means of production in Qinghai Province and the investigated counties (districts). 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 four tables Price base index of agricultural means of production of the whole province and investigated counties (districts) (2015). Xls Price base index of agricultural means of production of the whole province and investigated counties (districts) (2016). Xls Price base index of agricultural means of production in the whole province and investigated counties (districts) (2017). Xls Price base index of agricultural means of production in the whole province and counties (districts) surveyed (2017). XLS, The data table structure is the same. For example, there are seven fields in the price base index of agricultural means of production (2015) data table of the whole province and the investigated counties (districts) Field 1: Province Field 2: Datong County Field 3: Ledu District Field 4: safe area Field 5: Haiyan County Field 6: Tongren County Field 7: Gonghe County
Qinghai Provincial Bureau of Statistics
The data set records the commodity retail price index of Qinghai Province and the investigated cities and counties, and the data is divided by the commodity retail price index of Qinghai Province and the investigated cities and counties. 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 Commodity retail price index of the whole province, cities and counties surveyed, 2011.xls Commodity retail price index of the whole province, cities and counties in 2012.xls Commodity retail price index of the whole province, cities and counties surveyed, 2013.xls Commodity retail price index of the whole province, cities and counties in 2014.xls Commodity retail price index of the whole province and the investigated cities and counties, 2015.xls Commodity retail price index of the whole province, cities and counties surveyed, 2016.xls Commodity retail price index of the whole province and the investigated cities and counties, 2017.xls Commodity retail price index of the whole province, cities and counties in 2018. XLS, with the same data table structure. For example, there are 12 fields in the data table of commodity retail price index (2011) of the whole province and the investigated cities and counties Field 1: Province Field 2: Xining City Field 3: Datong County Field 4: Ledu District Field 5: Ping An District Field 6: Haiyan County Field 7: Tongren County Field 8: Gonghe County Field 9: Maqin County Field 10: Yushu City Field 11: Golmud City Field 12: Delingha City
Qinghai Provincial Bureau of Statistics
This data set records the commodity retail price fixed base index of Qinghai Province and the investigated cities and counties, and the data is divided according to the commodity retail price fixed base index of Qinghai Province and the investigated cities and counties. 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 Commodity retail price base index of the whole province, cities and counties surveyed, 2011.xls Commodity retail price base index of the whole province, cities and counties surveyed, 2012.xls Commodity retail price base index of the whole province, cities and counties surveyed, 2013.xls Commodity retail price base index of the whole province, cities and counties in 2014.xls Commodity retail price base index of the whole province and investigated cities and counties, 2015.xls Commodity retail price base index of the whole province, cities and counties surveyed, 2016.xls Commodity price survey of the whole province in 2017 Commodity retail price base index of the whole province and the cities and counties surveyed in 2018.xls. The data table structure is the same. For example, there are 12 fields in the 2011 data table of commodity retail price base index of the whole province and the cities and counties surveyed Field 1: Province Field 2: Xining City Field 3: Datong County Field 4: Ledu District Field 5: Ping An District Field 6: Haiyan County Field 7: Tongren County Field 8: Gonghe County Field 9: Maqin County Field 10: Yushu City Field 11: Golmud City Field 12: Delingha City
Qinghai Provincial Bureau of Statistics
The data set records the consumer price index of the whole province and the investigated cities and counties in Qinghai Province. The data is divided according to the consumer price index of the investigated cities and counties. 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 Consumer price index of the whole province, cities and counties (2011). Xls Consumer price index of the whole province, cities and counties (2012). Xls Consumer price index of the whole province, cities and counties (2013). Xls Consumer price index of the whole province, cities and counties (2014). Xls Consumer price index of the whole province, cities and counties (2015). Xls Consumer price index of the whole province, cities and counties (2016). Xls Consumer price index of the whole province, cities and counties (2017). Xls Consumer price index of the whole province, cities and counties (2018). XLS. The data table structure is the same. For example, there are four fields in the 1998 CPI data table of the surveyed cities and counties Field 1: Category Field 2: Xining City Field 3: Golmud City Field 4: Ledu County
Qinghai Provincial Bureau of Statistics
The data set records the administrative divisions of Qinghai Province, and the data are divided according to the administrative divisions of 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 9 data tables Administrative divisions of the whole province (end of 2001). Xls Administrative divisions of the whole province (end of 2002). Xls Administrative divisions of the whole province (end of 2003). Xls Provincial administrative divisions (end of 2006). Xls Provincial administrative divisions (end of 2007). Xls Provincial administrative divisions (end of 2008). Xls Provincial administrative divisions (end of 2009). Xls Provincial administrative divisions (end of 2013). Xls Administrative divisions of the whole province (end of 2004). Xls The data table structure is the same. For example, there are five fields in the data table of the provincial administrative divisions (at the end of 2001) Field 1: Region Field 2: land area (km2) Field 3: number of administrative units at county level Field 4: name of county administrative unit (region) Field 5: sub district office
Qinghai Provincial Bureau of Statistics
This data set records the basic situation of technological development of large and medium-sized state-owned industrial enterprises in Qinghai Province. The data is divided according to the basic situation of technological development of large and medium-sized state-owned industrial enterprises 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 two data tables Basic situation of technological development of large and medium-sized state-owned industrial enterprises in the whole province, The basic situation of technological development of large and medium-sized state-owned industrial enterprises in the whole province, 1999.xls. The data table structure is the same. For example, the basic situation of technological development of large and medium-sized state-owned industrial enterprises in the province in 1998 has five fields Field 1: Category Field 2: number of enterprises with technology development institutions Field 3: person engaged in scientific and technological activities Field 4: Scientists and engineers Field 5: enterprise technology development fund raising amount
Qinghai Provincial Bureau of Statistics
The data set records the main economic indicators of the industrial sampling survey under the scale of Qinghai Province. The data is divided according to the main economic indicators of the industrial sampling survey under the scale of 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 15 tables Main economic indicators of sampling survey of industries below Designated Size in the whole province 1998-2003.xls Main economic indicators of sampling survey of industries below Designated Size in the whole province, 1998-2005.xls Main economic indicators of sampling survey of industries below Designated Size in the whole province, 1999-2006.xls The main economic indicators of the sample survey of industries below Designated Size in the whole province, 1999-2007.xls The main economic indicators of the provincial sample survey of industries below Designated Size from 2000 to 2008.xls Main economic indicators of Provincial sampling survey of industries below Designated Size 2000-2009.xls The main economic indicators of the provincial sample survey of industries below Designated Size 2004-2010.xls The main economic indicators of the sample survey of the industries below the designated scale in the whole province, 2004.xls Main economic indicators of Provincial sampling survey of industries below Designated Size 2007-2011.xls Main economic indicators of Provincial sampling survey of industries below Designated Size 2009-2012.xls Main economic indicators of Provincial sampling survey of industries below Designated Size 2009-2013.xls Main economic indicators of Provincial sampling survey of industries below Designated Size 2009-2014.xls Main economic indicators of Provincial sampling survey of industries below Designated Size 2010-2015.xls Main economic indicators of provincial sample survey of industries below Designated Size 2010-2016.xls The main economic indicators of the provincial sample survey of industries below the designated size are 2012-2017.xls. The data table structure is the same. For example, there are 10 fields in the 1999-2007 data table of the main economic indicators of the provincial sample survey of industries below designated size Field 1: indicator name Field 2: 1999 Field 3: year 2000 Field 4: 2001 Field 5: 2002 Field 6: 2003 Field 7: 2004 Field 8: 2005 Field 9: 2006 Field 10: 2007
Qinghai Provincial Bureau of Statistics
The data set records the fixed assets investment and bank loan balance of Qinghai Province, and the data is divided according to the fixed assets investment and bank loan balance of 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 Fixed assets investment and bank loan balance of the whole province, 1985-1998.xls, Fixed assets investment and bank loan balance of the whole province, 1985-1999.xls, The fixed assets investment and bank loan balance of the whole province, 1985-2000.xls. The data table structure is the same. For example, there are three fields in the data table of fixed assets investment and bank loan balance of the whole province from 1985 to 1998 Field 1: year Field 2: amount completed Field 3: year on year growth
Qinghai Provincial Bureau of Statistics
The data set records the basic situation of energy consumption survey of highway transportation in Qinghai Province, and the data is divided according to the basic situation of energy consumption survey of highway transportation 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 seven data tables Survey on energy consumption of provincial highway transportation (2010). Xls Survey on energy consumption of provincial highway transportation (2011). Xls Survey on energy consumption of provincial highway transportation (2012). Xls Survey on energy consumption of provincial highway transportation (2013). Xls Survey on energy consumption of provincial highway transportation (2014). Xls Survey on energy consumption of provincial highway transportation (2015). Xls Survey on energy consumption of provincial highway transportation (2016). XLS. The data table structure is the same. For example, there are five fields in the data table of the provincial highway transportation energy consumption survey (2010) Field 1: Indicators Field 2: item Field 3: total number of operating vehicles Field 4: number of vehicles surveyed Field 5: total fuel consumption
Qinghai Provincial Bureau of Statistics
The data set records the ex factory price of industrial products and the purchase price index of raw materials, fuel and power in Qinghai Province. The data is divided according to the ex factory price of industrial products and the purchase price index of raw materials, fuel and power 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 four tables Ex factory price of industrial products and purchase price index of raw materials, fuel and power in the whole province, 1989-1998.xls Ex factory price of industrial products and purchase price index of raw materials, fuel and power in the whole province, 1989-1999.xls Ex factory price of industrial products and purchase price index of raw materials, fuel and power in the whole province, 1989-2000 (Table 1). Xls The ex factory price of industrial products and the purchase price index of raw materials, fuel and power in the whole province from 1989 to 2000 (Table 2). The structure of XLS data table is the same. For example, there are seven fields in the data sheet of the provincial ex factory price of industrial products and the purchase price index of raw materials, fuel and power from 1989 to 1998 Field 1: year Field 2: total index Field 3: Light Industry Field 4: heavy industry Field 5: production data Field 6: means of living Field 7: purchase price index of raw materials, fuel and power
Qinghai Provincial Bureau of Statistics
The data set records the basic situation of industrial and commercial enterprises in Qinghai Province, and the data are divided by economic type. 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 six tables Basic situation of industrial and commercial enterprises in the whole province (by industry, 1999. XLS) Basic situation of industrial and commercial enterprises in the whole province (classified by economic type, 1999. XLS) Basic information of industrial and commercial enterprises in the whole province (by industry) 1998.xls Basic situation of industrial and commercial enterprises in the whole province (by economic type) 1998.xls Basic information of industrial and commercial enterprises in the province (by industry) 2000.xls Basic information of industrial and commercial enterprises in the whole province (by economic type) basic information of industrial and commercial enterprises in the whole province in 2000. XLS data table structure is the same. For example, the basic information of industrial and commercial enterprises (by industry) in 2000 has four fields Field 1: economic type Field 2: number of enterprises at the end of the year Field 3: where: corporate enterprise Field 4: registered capital
Qinghai Provincial Bureau of Statistics
The data set records the industrial accidents and accident categories of industrial, transportation and construction enterprises in Qinghai Province. The data is divided according to the industrial accidents and accident categories of industrial, transportation and construction enterprises 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 five data tables Industrial accidents of industrial, transportation and construction enterprises in the whole province by industry and accident category, 1998.xls Industrial accidents of industrial, traffic and construction enterprises in the whole province by industry and accident category, 1999.xls Industrial accidents of industrial, transportation and construction enterprises in the province by industry and accident category, 2000.xls Industrial accidents of industrial, transportation and construction enterprises in the whole province by industry and accident category, 2001.xls The structure of the. XLS data sheet in 2002 is the same. For example, there are three fields in the 2001 data sheet of industrial accidents by industry and accident category in the province's industrial, transportation and construction enterprises Field 1: Project Field 2: Death Field 3: serious injury
Qinghai Provincial Bureau of Statistics
The data set records the work-related casualties of the industrial, transportation and construction enterprises in Qinghai Province. The data is divided according to the work-related casualties of the industrial, transportation and construction enterprises 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 Statistics of work-related injuries and deaths in the whole province, The situation of work-related casualties in the whole province's industrial, transportation and construction enterprises, 1999.xls, The situation of work-related injuries and deaths in the province's industrial, transportation and construction enterprises in 2000.xls. The data table structure is the same. For example, there are six fields in the 1998 data sheet of work-related casualties in the province's labor, transportation and construction enterprises Field 1: company name Field 2: Total Field 3: state owned enterprises Field 4: collective enterprise Field 5: rural collective enterprises Field 6: other
Qinghai Provincial Bureau of Statistics
The data set records the main economic statistical indicators of Qinghai Province in each month, and the data is divided according to the main economic statistical indicators of Qinghai Province in each month. 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 two data tables The main economic statistical indicators of the whole province in 1999.xls, The main economic statistics index of the whole province in each month is 2000.xls. The data table structure is the same. For example, there are eight fields in the 1999 data table of the main economic statistics indicators of the whole province Field 1: Indicators Field 2: Unit Field 3: January Field 4: February Field 5: March Field 6: April Field 7: May Field 8: June Field 9: July Field 10: August Field 11: September Field 12: October Field 13: November Field 14: December
Qinghai Provincial Bureau of Statistics
The data set records the number of Party members (members) of all parties in Qinghai Province, and the data is divided according to the number of Party members (members) of all parties 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 four tables The number of Party members (members) of all parties in the province, 1990-1998.xls The number of Party members (members) of all parties in the province, 1990-1999.xls Number of Party members (members) of all parties in the province, 1990-2000.xls Number of Party members (members) of all parties in the province, 1990-2001.xls The number of Party members (members) of all parties in the province from 1990 to 2002.xls. The data table structure is the same. For example, there are 11 fields in the 1990-1998 data table of the number of Party members (members) of all parties in the province Field 1: party name Field 2: Unit Field 3: 1990 Field 4: 1991 Field 5: 1992 Field 6: 1993 Field 7: 1994 Field 8: 1995 Field 9: 1996 Field 10: 1997 Field 11: 1998
Qinghai Provincial Bureau of Statistics
The data set records the fixed assets investment, composition and completion of local projects in Qinghai Province, and the data is divided by the fixed assets investment of local projects 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 9 data tables Fixed assets investment of local projects in the whole province, 1985-1998.xls Fixed assets investment of local projects in the whole province, 1985-1999.xls Fixed assets investment of local projects in the whole province, 1985-2000.xls Fixed assets investment of local projects in the whole province, 1990-2001.xls Composition of fixed assets investment of local projects in the whole province, 1985-1998.xls Composition of fixed assets investment of local projects in the whole province, 1985-1999.xls Composition of fixed assets investment of local projects in the whole province, 1985-2000.xls Composition of fixed assets investment of local projects in the whole province, 1990-2001.xls The structure of the. XLS data sheet in 2002 is the same. For example, there are eight fields in the data table of fixed assets investment of local projects in the province from 1985 to 1998 Field 1: Indicators Field 2: 1985 Field 3: 1990 Field 4: 1994 Field 5: 1995 Field 6: 1996 Field 7: 1997 Field 8: 1998
Qinghai Provincial Bureau of Statistics
The data set records the basic situation of the number of private enterprises in urban and rural areas of Qinghai Province, and the data is divided by economic type. 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 The basic situation of the number and number of private enterprises in urban and rural areas of the province, 1998.xls, The basic situation of the number and number of private enterprises in urban and rural areas of the province, 1999.xls, The basic situation of the number and number of private enterprises in urban and rural areas of the province, 2000.xls. The data table structure is the same. For example, the basic situation of the number of private enterprises in urban and rural areas of the province in 1998 has four fields: Field 1: Project Field 2: number of households Field 3: Investor Field 4: number of employees
Qinghai Provincial Bureau of Statistics
The data set records the volume and value table of main export commodities of Qinghai Province (Xining customs), and the data is divided by the name of main export commodities of Qinghai Province (Xining customs). 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 Volume and value of main export commodities of the whole province (Xining customs) (1.xls, 1999), Table of import volume and value of main commodities of the whole province (Xining customs) (2.xls, 1999), The total import and export value of the whole province (Xining customs) in 1999.xls. The data table structure is similar. For example, the main export volume and value table of the whole province (Xining customs) has four fields in 1999 Field 1: commodity name Field 2: unit of measurement Field 3: quantity Field 4: value of goods
Qinghai Provincial Bureau of Statistics
The data set records the whole social labor productivity of Qinghai Province, and the data is divided according to the whole social labor productivity. 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 Labor productivity of the whole society 1952-1998.xls, Labor productivity of the whole society 1952-1999.xls, Labor productivity of the whole society 1952-2000.xls. The data table structure is the same. For example, there are five fields in the data table of labor productivity of the whole society from 1952 to 1998 Field 1: indicator name Field 2: Unit Field 3: 1952 Field 4: 1978 Field 5: 1990
Qinghai Provincial Bureau of Statistics
The data set records the composition of fixed assets investment and the situation of funds in Qinghai Province. The data is divided according to the composition of fixed assets investment. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains 18 data tables Composition of fixed assets investment in the whole society, 1985-1998.xls Composition of fixed assets investment of the whole society 1985-1999.xls Composition of fixed assets investment of the whole society 1985-2000.xls Composition of fixed assets investment of the whole society in Main Years 1990-2001.xls Completion of fixed assets investment in the whole society 2002.xls The composition of fixed assets investment and the availability of funds in the whole society, 2000-2006.xls Composition of fixed assets investment and fund availability in the whole society, 2000-2007.xls Composition of fixed assets investment and capital availability in the whole society, 2000-2008.xls Composition of fixed assets investment and capital sources of the whole society, 2000-2009.xls Composition of fixed assets investment and capital sources of the whole society, 2000-2010.xls Composition and capital sources of fixed assets investment in the whole society, 2000-2011.xls Composition and capital sources of fixed assets investment in the whole society, 2000-2012.xls Composition and capital sources of fixed assets investment in the whole society, 2000-2013.xls Composition of fixed assets investment and capital sources of the whole society, 2000-2014.xls Composition of fixed assets investment and capital sources of the whole society, 2000-2015.xls Composition of fixed assets investment and capital sources of the whole society, 2000-2016.xls Composition of fixed assets investment and capital sources of the whole society, 2000-2017.xls The fixed assets investment and capital sources of the whole society constitute. XLS from 2000 to 2018. The data table structure is the same. For example, there are 10 fields in the 1985-1998 data table of the investment in fixed assets of the whole society Field 1: Construction and installation engineering Field 2: equipment tools Field 3: other Field 4: source of funds Field 5: national budget Field 6: domestic loans Field 7: Bonds Field 8: utilization of foreign capital Field 9: self financing Field 10: other
Qinghai Provincial Bureau of Statistics
The data set records the fixed assets investment of the whole society in Qinghai Province, and the data is divided according to the fixed assets investment of the whole society. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains 22 data tables, which are: Fixed assets investment of the whole society, 1985-1998.xls Fixed assets investment of the whole society, 1985-1999.xls Fixed assets investment of the whole society, 1985-2000.xls Major years: fixed assets investment of the whole society 1990-2001.xls Fixed assets investment of the whole society 2000-2001.xls Fixed assets investment of the whole society 2001-2002.xls Social fixed assets investment 2001-2005.xls Fixed assets investment of the whole society 2001-2006.xls Social fixed assets investment 2001-2007.xls Investment in fixed assets of the whole society 2002-2003.xls Fixed assets investment of the whole society 2004.xls Fixed assets investment of the whole society 2005-2008.xls Fixed assets investment of the whole society 2005-2009.xls Fixed assets investment of the whole society 2005-2010.xls Fixed assets investment of the whole society 2006-2011.xls Fixed assets investment of the whole society 2008-2012.xls Fixed assets investment of the whole society, 2008-2013.xls Fixed assets investment of the whole society 2008-2014.xls Fixed assets investment of the whole society 2009-2015.xls Fixed assets investment of the whole society 2010-2016.xls Fixed assets investment of the whole society 2010-2017.xls The structure of the. XLS data sheet of the whole society's fixed asset investment in 2018 is the same. For example, there are eight fields in the data table of fixed assets investment of the whole society from 1985 to 1998 Field 1: Indicators Field 2: 1985 Field 3: 1990 Field 4: 1994 Field 5: 1995 Field 6: 1996 Field 7: 1997 Field 8: 1998
Qinghai Provincial Bureau of Statistics
The data set records the total social fixed asset investment in Qinghai Province (divided by economic type), and the data is divided by economic type. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 18 data tables, which are: Total investment in fixed assets (by type of economy) 1985-2001. XLS Total investment in fixed assets (by type of economy) 1985-2002. XLS Total investment in fixed assets (by type of economy) 1985-2003. XLS Total investment in fixed assets (by type of economy) 1985-2005. XLS Total investment in fixed assets (by economic type) 1985-2006. XLS Total investment in fixed assets (by economic type) 1985-2007. XLS Total Investment in fixed assets (by economic type) 1985-2008. XLS Total Investment in fixed assets (by economic type) 1990-2009. XLS Total Investment in fixed assets (by type of economy) 1990-2010 XLS Total Investment in fixed assets (by economic type) 1990-2011. XLS Total Investment in fixed assets (by type of economy) 1990-2012 XLS Total Investment in fixed assets (by economic type) 1990-2013. XLS Total Investment in fixed assets (by economic type) 1990-2014. XLS Total Investment in fixed assets (by type of economy) 1990-2015 XLS Total Investment in fixed assets (by type of economy) 1990-2016 XLS Total Investment in fixed assets (by type of economy) 2000-2017. XLS Total Investment in fixed assets (by type of economy) 2000-2018 XLS Total Investment in fixed assets (by type of economy) 2000-2020 XLS. The data table structure is the same. For example, the data table of the total social fixed asset investment by economic type from 1985 to 2001 has five fields: Field 1: indicator Field 2: Total Field 3: State-owned economy Field 4: Collective economy Field 5: Individual economy
Qinghai Provincial Bureau of Statistics
The data set records the fixed assets of the whole society in Qinghai Province (according to the source and composition of funds), and the data is divided according to the source and composition of funds. 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 four tables Fixed assets of the whole society (by capital source and composition) 1985-2001.xls Fixed assets of the whole society (by capital source and composition) 1985-2002.xls Fixed assets investment of the whole society (by capital source and composition) 1985-2003.xls Fixed assets investment of the whole society (by capital source and composition) 1985-2005.xls The data table structure is the same. For example, there are five fields in the data table of fixed assets of the whole society from 1985 to 2001 Field 1: year Field 2: national budget funds Field 3: domestic loans Field 4: utilization of foreign capital Field 5: self financing
Qinghai Provincial Bureau of Statistics
The data set records the number of production units and total industrial output value of all industrial enterprises at or above the township level in Qinghai Province. The data is divided by the number of production units and total industrial output value of all industrial enterprises at or above the township level. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains one data table, which is: the number of production units and total industrial output value of all industrial enterprises at or above the township level, 1998.xls. For example, there are five fields in the 1998 data sheet of the number of production units and gross industrial output value of all industrial enterprises at or above the township level Field 1: Indicators Field 2: (new regulation on constant price) Field 3: (new regulations on current year price) Field 4: (new regulations on current year price) Field 5: (new regulations on current year price)
Qinghai Provincial Bureau of Statistics
The data set records the main economic indicators of all state-owned and non-state-owned industrial enterprises with an annual product sales revenue of more than 5 million yuan in Qinghai Province. The data is divided according to the main economic indicators of all state-owned and non-state-owned industrial enterprises with an annual product sales revenue of more than 5 million yuan. 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 indicators of all state-owned and non-state-owned industrial enterprises with annual sales revenue of more than 5 million yuan, Main economic indicators of all state-owned and non-state-owned industrial enterprises with annual sales revenue of more than 5 million yuan, The main economic indicators of all state-owned and non-state-owned industrial enterprises with annual sales revenue of more than 5 million yuan, 2000.xls. The data table structure is the same. For example, the main economic indicators of all state-owned and non-state-owned industrial enterprises with annual sales revenue of more than 5 million yuan in 1998 have five fields: Field 1: Category Field 2: number of enterprise units Field 3: loss making enterprises Field 4: gross industrial output value (new regulation on current price) Field 5: gross industrial output value (new regulation of 90 price)
Qinghai Provincial Bureau of Statistics
The data set records the number of units and total output value of all industrial enterprises in Qinghai Province, and the data is divided by the output of main industrial products of each province (city, district). 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 12 data tables The total industrial output value of each province (city, district) in 1998.xls The total industrial output value of each province (city, district) in 1999.xls Index of total industrial output value of provinces (cities, districts) in 1998.xls Index of total industrial output value of each province (city, district), 1999.xls Unit number and total output value of all industrial enterprises 2000-2001.xls Unit number and total output value of all industrial enterprises 2001-2002.xls Unit number of all industrial enterprises and total output value 2002.xls Unit number and total output value of all industrial enterprises 2003-2005.xls Unit number and total output value of all industrial enterprises 2004-2006.xls Unit number and total output value of all industrial enterprises 2004.xls Unit number and total output value of all industrial enterprises 2005-2007.xls Unit number and total output value of all industrial enterprises 2007-2008.xls The data table structure is the same. For example, there are four fields in the data table of the total industrial output value of each province (city, district) in 1998 Field 1: Region Field 2: Steel (10000 tons) Field 3: pig iron (10000 tons) Field 4: finished steel (10000 tons)
Qinghai Provincial Bureau of Statistics
The data set records the main financial and economic benefit indicators of all independent accounting collective industrial enterprises in Qinghai Province. The data is divided according to the main financial and economic benefit indicators of all independent accounting collective industrial enterprises. 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 two data tables The main financial and economic benefit indexes of collective industrial enterprises are calculated independently from 1993 to 1998.xls, The main financial and economic benefit indexes of collective industrial enterprises are calculated independently from 1994 to 1999.xls. The data table structure is the same. For example, there are six fields in the 1993-1998 data sheet of all independent accounting collective industrial enterprises Field 1: Indicators Field 2: Unit Field 3: 1995 Field 4: 1996 Field 5: 1997 Field 6: 1998
Qinghai Provincial Bureau of Statistics
The data set records the main financial and economic benefit indicators of all independent accounting state-owned industrial enterprises in Qinghai Province. The data is divided according to the main financial and economic benefit indicators of all independent accounting state-owned industrial enterprises. 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 The main financial and economic benefit indexes of all state-owned industrial enterprises are calculated independently from 1993 to 1998, The main financial and economic benefit indexes of all state-owned industrial enterprises are calculated independently from 1994 to 1999, The main financial and economic benefit indexes of all state-owned industrial enterprises are calculated independently from 1995 to 2000.xls. The data table structure is the same. For example, there are five fields in the 1993-1998 data sheet of all independent accounting state-owned industrial enterprises Field 1: Indicators Field 2: Unit Field 3: 1995 Field 4: 1996 Field 5: 1997
Qinghai Provincial Bureau of Statistics
The data set records the main financial and economic benefit indicators of all independent accounting industrial enterprises in Qinghai Province. The data is divided according to the main financial and economic benefit indicators of industrial enterprises. 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 financial and economic benefit indexes of all independent accounting industrial enterprises 1993-1998.xls Main financial and economic benefit indexes of all independent accounting industrial enterprises 1994-1999.xls Major financial and economic benefit indicators of industrial enterprises 1995-2000.xls, The data table structure is the same. For example, the main financial and economic benefit indicators of industrial enterprises from 1995 to 2000 have nine fields Field 1: Indicators Field 2: Unit Field 3: 1994 Field 4: 1995 Field 5: 1996 Field 6: 1997 Field 7: 1998 Field 8: 1999 Field 9: 2000
Qinghai Provincial Bureau of Statistics
The data set records the employees and labor remuneration of all units in Qinghai Province, and the data is divided according to the employees and labor remuneration. 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 All employees and labor remuneration 1998.xls Employees and labor remuneration of all units, 1999.xls Labor remuneration and average labor remuneration of all employees in units 2009.xls Labor remuneration and average labor remuneration of all employees in the unit 2010.xls. The data table structure is the same. For example, there are five fields in the 1998 data sheet of all employees and labor remuneration: Field 1: Category Employee: field 2 Field 3: total of on duty employees Field 4: Female Field 5: Ethnic Minorities
Qinghai Provincial Bureau of Statistics
The data set records the changes of employees in all units of Qinghai Province, and the data is divided according to the changes of employees in all units. 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 Changes in employees of all units 1998.xls, Changes in employees of all units, 1999.xls, Changes of employees in all units in 2000.xls. The data table structure is the same. For example, there are five fields in the 1998 data sheet on the change of employees in all units Field 1: Category Field 2: Total Field 3: recruitment from rural areas Field 4: recruit from town Field 5: Veterans employed
Qinghai Provincial Bureau of Statistics
This data set records the situation of laid-off workers in Qinghai Province, and the data is divided according to the diversion situation of laid-off workers in state-owned enterprises. 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 four tables The situation of laid off workers in enterprises, 1998.xls The situation of laid off workers in enterprises, 1999.xls The situation of laid off workers in enterprises, 2000.xls The distribution of laid-off workers in state-owned enterprises in 1997. The data table structure is the same. For example, there are four fields in the data table of the distribution of laid-off workers in state-owned enterprises Field 1: Category Field 2: Industrial Enterprise Field 3: large and medium sized industrial enterprises Field 4: enterprises directly under the central government
Qinghai Provincial Bureau of Statistics
The data set records the business climate survey capital climate index of Qinghai Province, and the data is divided according to the business climate survey capital climate index. 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 12 data tables Qinghai Province enterprise prosperity survey capital situation prosperity index 1998-1999.xls Qinghai Province enterprise prosperity survey capital situation prosperity index 1999-2000.xls Business climate capital adjustment business climate index 2000-2001.xls Business climate capital adjustment business climate index 2001-2002.xls Business climate capital adjustment business climate index 2002-2003.xls Business climate capital adjustment business climate index 2004-2005.xls Business climate capital adjustment business climate index 2005-2006.xls Business climate capital adjustment business climate index 2006-2007.xls Business climate capital adjustment business climate index 2007-2008.xls Business climate capital adjustment business climate index 2008-2009.xls Business climate capital adjustment business climate index 2009-2010.xls The structure of business climate index. XLS data table from 2010 to 2011 is the same. For example, there are five fields in the business climate index 2009-2010 data table Field 1: indicator name Field 2: first quarter Field 3: second quarter Field 4: third quarter Field 5: fourth quarter
Qinghai Provincial Bureau of Statistics
The data set records the business climate survey investment climate index of Qinghai Province, and the data is divided according to the business climate survey investment climate index. 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 12 data tables Qinghai business climate survey investment climate index 1998-1999.xls Qinghai business climate survey investment climate index 1999-2000.xls Business climate adjustment investment climate index 2000-2001.xls Business climate adjustment investment climate index 2001-2002.xls Business climate adjustment investment climate index 2002-2003.xls Business climate adjustment investment climate index 2004-2005.xls Business climate adjustment investment climate index 2005-2006.xls Business climate adjustment investment climate index 2006-2007.xls Business climate adjustment investment climate index 2007-2008.xls Business climate adjustment investment climate index 2008-2009.xls Business climate adjustment investment climate index 2009-2010.xls The structure of business climate index 2010-2011. XLS data table is the same. For example, there are five fields in the business climate index 2009-2010 data table Field 1: indicator name Field 2: first quarter Field 3: second quarter Field 4: third quarter Field 5: fourth quarter
Qinghai Provincial Bureau of Statistics
The data set records the after tax profit prosperity index of Qinghai Province enterprise prosperity survey, and the data is divided according to the after tax profit prosperity index of enterprise prosperity survey. 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 12 data tables Business climate survey of Qinghai Province after tax profit climate index 1998-1999.xls Business climate survey of Qinghai Province after tax profit climate index 1999-2000.xls Business climate index 2000-2001.xls Business climate index of profit after tax adjustment 2001-2002.xls Business climate index 2002-2003.xls Business climate index after tax profit of business climate adjustment 2004-2005.xls Business climate index after tax profit of business climate adjustment 2005-2006.xls Business climate adjusted profit climate index 2006-2007.xls Business climate adjusted profit climate index 2007-2008.xls Business climate index after tax profit of business climate adjustment 2008-2009.xls Business climate index after tax profit of business climate adjustment 2009-2010.xls The structure of the. XLS data table from 2010 to 2011 is the same. For example, there are five fields in the 2009-2010 data table of business climate adjusted profit climate index Field 1: indicator name Field 2: first quarter Field 3: second quarter Field 4: third quarter Field 5: fourth quarter
Qinghai Provincial Bureau of Statistics
The data set records the business climate survey product ordering climate index of Qinghai Province, and the data is divided according to the business climate survey product ordering climate index. 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 12 data tables Qinghai enterprise prosperity survey product ordering prosperity index 1998-1999.xls Qinghai enterprise prosperity survey product ordering prosperity index 1999-2000.xls Business climate adjustment product ordering climate index 2000-2001.xls Business climate adjustment product ordering climate index 2001-2002.xls Business climate adjustment product ordering climate index 2002-2003.xls Business climate adjustment product ordering climate index 2004-2005.xls Business climate adjustment product ordering climate index 2005-2006.xls Business climate adjustment product ordering climate index 2006-2007.xls Business climate adjustment product ordering climate index 2007-2008.xls Business climate adjustment product ordering climate index 2008-2009.xls Business climate adjustment product ordering climate index 2009-2010.xls The structure of the. XLS data table from 2010 to 2011 is the same. For example, there are five fields in the 2009-2010 data table of business climate adjustment product ordering climate index Field 1: indicator name Field 2: first quarter Field 3: second quarter Field 4: third quarter Field 5: fourth quarter
Qinghai Provincial Bureau of Statistics
The data set records the comprehensive business climate index of enterprises in Qinghai Province. The data is divided according to the comprehensive business climate index of enterprises 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 12 data tables Qinghai enterprise prosperity survey product ordering prosperity index 1998-1999.xls Qinghai enterprise prosperity survey product ordering prosperity index 1999-2000.xls Enterprise business climate index 2000-2001.xls Business climate adjustment business comprehensive business climate index 2001-2002.xls Business climate adjustment business comprehensive business climate index 2002-2003.xls Business climate adjustment business comprehensive business climate index 2004-2005.xls Business climate adjustment business comprehensive business climate index 2005-2006.xls Business climate index 2006-2007.xls Business climate index 2007-2008.xls Business climate index in 2008 Business climate adjustment business climate index 2009-2010.xls The structure of the. XLS data table from 2010 to 2011 is the same. For example, there are five fields in the data table of business climate index 2009-2010 Field 1: indicator name Field 2: first quarter Field 3: second quarter Field 4: third quarter Field 5: fourth quarter
Qinghai Provincial Bureau of Statistics
This data set records the production prosperity index of Qinghai Province enterprise prosperity survey, and the data is divided according to the production prosperity index of enterprise prosperity survey. 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 12 data tables Qinghai enterprise prosperity survey product ordering prosperity index 1998-1999.xls Qinghai enterprise prosperity survey product ordering prosperity index 1999-2000.xls Business climate adjustment business production climate index 2000-2001.xls Business climate adjustment business production climate index 2001-2002.xls Business climate index 2002-2003.xls Business climate adjustment business production climate index 2004-2005.xls Business climate adjustment business production climate index 2005-2006.xls Business climate adjustment business production climate index 2006-2007.xls Business climate index 2007-2008.xls Business climate adjustment business production climate index 2008-2009.xls Business climate adjustment business production climate index 2009-2010.xls The structure of the. XLS data table from 2010 to 2011 is the same. For example, there are five fields in the 2009-2010 data table of business climate index Field 1: indicator name Field 2: first quarter Field 3: second quarter Field 4: third quarter Field 5: fourth quarter
Qinghai Provincial Bureau of Statistics
The data set records the financing climate index of Qinghai enterprise climate survey, and the data is divided by the financing climate index of enterprise climate survey. 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 six tables Business climate survey business financing climate index 2005-2006.xls Business climate survey business financing climate index 2006-2007.xls Business climate survey business financing climate index 2007-2008.xls Business climate survey business financing climate index 2008-2009.xls Business climate survey business financing climate index 2009-2010.xls Business climate survey business financing climate index 2010-2011.xls. The data table structure is the same. For example, there are five fields in the 2005-2006 business climate survey business financing climate index data table Field 1: type Field 2: first quarter Field 3: second quarter Field 4: third quarter Field 5: fourth quarter
Qinghai Provincial Bureau of Statistics
The data set records the macro business climate index of enterprises in Qinghai Province, and the data is divided according to the macro business climate index of enterprises 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 12 data tables Qinghai enterprise prosperity survey product ordering prosperity index 1998-1999.xls Qinghai enterprise prosperity survey product ordering prosperity index 1999-2000.xls Business climate adjustment business macro business climate index 2000-2001.xls Business climate adjustment business macro business climate index 2001-2002.xls Business climate index 2002-2003.xls Business climate adjustment business macro business climate index 2004-2005.xls Business climate adjustment business macro business climate index 2005-2006.xls Business climate adjustment business macro business climate index 2006-2007.xls Business climate index 2007-2008.xls Business climate adjustment business macro business climate index 2008-2009.xls Business climate adjustment business macro business climate index 2009-2010.xls The structure of the. XLS data table from 2010 to 2011 is the same. For example, there are five fields in the 2009-2010 business climate index data table of business climate adjustment Field 1: indicator name Field 2: first quarter Field 3: second quarter Field 4: third quarter Field 5: fourth quarter
Qinghai Provincial Bureau of Statistics
The data set records the labor prosperity index of enterprise prosperity survey in Qinghai Province, and the data is divided according to the labor prosperity index of enterprise prosperity survey. 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 12 data tables Qinghai enterprise prosperity survey product ordering prosperity index 1998-1999.xls Qinghai enterprise prosperity survey product ordering prosperity index 1999-2000.xls Business climate survey labor climate index 2000-2001.xls Business climate survey labor climate index 2001-2002.xls Business climate survey labor climate index 2002-2003.xls Business climate survey labor climate index 2004-2005.xls Business climate survey labor climate index 2005-2006.xls Business climate survey labor climate index 2006-2007.xls Business climate survey labor climate index 2007-2008.xls Business climate survey labor climate index 2008-2009.xls Business climate survey labor climate index 2009-2010.xls The structure of the. XLS data table is the same. For example, there are five fields in the data table of business climate survey labor climate index from 2009 to 2010 Field 1: indicator name Field 2: first quarter Field 3: second quarter Field 4: third quarter Field 5: fourth quarter
Qinghai Provincial Bureau of Statistics
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