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This dataset contains the raw data of the GPS and hydraulic head measurement utilized in North China Plain research. ## Included files The `gps_cmonoc.dat` file contains the horizontal and vertical velocities of the 35 continuous GPS stations from the Crustal Movement Observation Network of China (CMONOC) project. The `gps_bjcors.dat` file contains the horizontal and vertical velocities of the 14 continuous GPS stations from the Beijing Continuously Operating Reference Station (BJCORS) network. The `gps_campaign.dat` file contains the horizontal and vertical velocities of the 432 campaign GPS stations from the Crustal Movement Observation Network of China (CMONOC) project. The `hydraulic_datacenter.xlsx` file contains the 559 measurements from confined well accessed from the National Earth System Science Data Center, National Science & Technology Infrastructure of China (http://www.geodata.cn), recording during 2005-2018. The `hydraulic_yearbook.xlsx` file contains the 130 measurements from both confined and unconfined well compiled from the yearbook 'the China Groundwater Level Yearbook for Geo-environmental Monitoring', recoding during 2005-2016.
GPS data, North China Plain, hydraulic head measurement
GPS data, North China Plain, hydraulic head measurement
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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