Cedar Valley Aquifer Well Observations from 1938 - 2018

Data comes originally from the United States Geological Survey (USGS) but is organized in a .JSON format containing x,y location, original ground, and time-series observations. The purpose of this data is to be used in a Python based, machine learning algorithm where gaps within well data are imputed using remote Earth observations.

In an update made on March 3, 2021. The two files have been created from the original .JSON file: Well Locations.h5 and Well_Data.h5. These data represent the location of the wells within the aquifer being looked at, and the associated time series of them in a more friendly to work with file format.

In addition to this, the well locations have also been made available as a .shp file. A NED 10m model was used to create the .tiff file also made available. Combined, these files will allow users to view data as surface depth to water if they desire.

本数据集原始数据源自美国地质调查局（United States Geological Survey, USGS），经整理后以JSON格式存储，包含x、y坐标、原始地面及时序观测数据。本数据集的应用目标为基于Python开发的机器学习算法，用于通过遥感对地观测数据补全井数据中的缺失值。
2021年3月3日发布的更新版本中，基于原始JSON文件生成了两个HDF5格式文件：Well Locations.h5与Well_Data.h5。前者记录研究含水层内的井位分布，后者则以更便于操作的文件格式存储对应井的时序监测数据。
此外，井位数据还可通过SHP格式文件获取。本次发布还包含基于NED 10m模型生成的TIFF格式文件。将上述文件结合使用，用户可按需将数据展示为地下水埋深相关信息。