arm-test-data

一个与社区分享大气数据的地方，这些数据在大气辐射测量用户设施以及更广泛的范围内共享！

样本数据集

这些文件用作openradar示例/笔记本中的样本数据，并由arm-test-data包下载

• 201509021500.bi
• AAFNAV_COR_20181104_R0.ict
• NEON.D18.BARR.DP1.00002.001.000.010.001.SAAT_1min.2022-10.expanded.20221107T205629Z.csv
• NEON.D18.BARR.DP1.00002.001.sensor_positions.20221107T205629Z.csv
• NEON.D18.BARR.DP1.00002.001.variables.20221201T110553Z.csv
• anltwr_mar19met.data
• ayp22199.21m
• ayp22200.00m
• brw21001.dat
• brw_12_2020_hour.dat
• brw_CCl4_Day.dat
• co2_brw_surface-insitu_1_ccgg_MonthlyData.txt
• ctd21125.15w
• ctd22187.00t.txt
• enametC1.b1.20221109.000000.cdf
• gucmetM1.b1.20230301.000000.cdf
• list_of_files.txt
• maraosmetM1.a1.20180201.000000.nc
• marirtsstM1.b1.20190320.000000.nc
• marnavM1.a1.20180201.000000.nc
• met_brw_insitu_1_obop_hour_2020.txt
• met_lcl.nc
• mosaossp2M1.00.20191216.000601.raw.20191216000000.ini
• mosaossp2M1.00.20191216.130601.raw.20191216x193.sp2b
• mosaossp2auxM1.00.20191217.010801.raw.20191216000000.hk
• nsacloudphaseC1.c1.20180601.000000.nc
• nsasurfspecalb1mlawerC1.c1.20160609.080000.nc
• sgp30ebbrE13.b1.20190601.000000.nc
• sgp30ebbrE32.b1.20191125.000000.nc
• sgp30ebbrE32.b1.20191130.000000.nc
• sgp30ecorE14.b1.20190601.000000.cdf
• sgpaerich1C1.b1.20190501.000342.nc
• sgpaosacsmE13.b2.20230420.000109.nc
• sgpaosccn2colaE13.b1.20170903.000000.nc
• sgpbrsC1.b1.20190705.000000.cdf
• sgpceilC1.b1.20190101.000000.nc
• sgpco2flx4mC1.b1.20201007.001500.nc
• sgpdlppiC1.b1.20191015.120023.cdf
• sgpdlppiC1.b1.20191015.121506.cdf
• sgpirt25m20sC1.a0.20190601.000000.cdf
• sgpmetE13.b1.20190101.000000.cdf
• sgpmetE13.b1.20190102.000000.cdf
• sgpmetE13.b1.20190103.000000.cdf
• sgpmetE13.b1.20190104.000000.cdf
• sgpmetE13.b1.20190105.000000.cdf
• sgpmetE13.b1.20190106.000000.cdf
• sgpmetE13.b1.20190107.000000.cdf
• sgpmetE13.b1.20190508.000000.cdf
• sgpmetE13.b1.20210401.000000.csv
• sgpmetE13.b1.yaml
• sgpmetE15.b1.20190508.000000.cdf
• sgpmetE31.b1.20190508.000000.cdf
• sgpmetE32.b1.20190508.000000.cdf
• sgpmetE33.b1.20190508.000000.cdf
• sgpmetE34.b1.20190508.000000.cdf
• sgpmetE35.b1.20190508.000000.cdf
• sgpmetE36.b1.20190508.000000.cdf
• sgpmetE37.b1.20190508.000000.cdf
• sgpmetE38.b1.20190508.000000.cdf
• sgpmetE39.b1.20190508.000000.cdf
• sgpmetE40.b1.20190508.000000.cdf
• sgpmetE9.b1.20190508.000000.cdf
• sgpmet_no_time.nc
• sgpmet_test_time.nc
• sgpmfrsr7nchE11.b1.20210329.070000.nc
• sgpmmcrC1.b1.1.cdf
• sgpmmcrC1.b1.2.cdf
• sgpmplpolfsC1.b1.20190502.000000.cdf
• sgprlC1.a0.20160131.000000.nc
• sgpsebsE14.b1.20190601.000000.cdf
• sgpsirsE13.b1.20190101.000000.cdf
• sgpsondewnpnC1.b1.20190101.053200.cdf
• sgpstampE13.b1.20200101.000000.nc
• sgpstampE31.b1.20200101.000000.nc
• sgpstampE32.b1.20200101.000000.nc
• sgpstampE33.b1.20200101.000000.nc
• sgpstampE34.b1.20200101.000000.nc
• sgpstampE9.b1.20200101.000000.nc
• sodar.20230404.mnd
• twpsondewnpnC3.b1.20060119.050300.custom.cdf
• twpsondewnpnC3.b1.20060119.112000.custom.cdf
• twpsondewnpnC3.b1.20060119.163300.custom.cdf
• twpsondewnpnC3.b1.20060119.231600.custom.cdf
• twpsondewnpnC3.b1.20060120.043800.custom.cdf
• twpsondewnpnC3.b1.20060120.111900.custom.cdf
• twpsondewnpnC3.b1.20060120.170800.custom.cdf
• twpsondewnpnC3.b1.20060120.231500.custom.cdf
• twpsondewnpnC3.b1.20060121.051500.custom.cdf
• twpsondewnpnC3.b1.20060121.111600.custom.cdf
• twpsondewnpnC3.b1.20060121.171600.custom.cdf
• twpsondewnpnC3.b1.20060121.231600.custom.cdf
• twpsondewnpnC3.b1.20060122.052600.custom.cdf
• twpsondewnpnC3.b1.20060122.111500.custom.cdf
• twpsondewnpnC3.b1.20060122.171800.custom.cdf
• twpsondewnpnC3.b1.20060122.232600.custom.cdf
• twpsondewnpnC3.b1.20060123.052500.custom.cdf
• twpsondewnpnC3.b1.20060123.111700.custom.cdf
• twpsondewnpnC3.b1.20060123.171600.custom.cdf
• twpsondewnpnC3.b1.20060123.231500.custom.cdf
• twpsondewnpnC3.b1.20060124.051500.custom.cdf
• twpsondewnpnC3.b1.20060124.111800.custom.cdf
• twpsondewnpnC3.b1.20060124.171700.custom.cdf
• twpsondewnpnC3.b1.20060124.231500.custom.cdf
• twpvisstgridirtemp.c1.20050705.002500.nc
• vdis.b1

添加新数据集

要添加新的数据集文件，请按照以下步骤操作

1. 将数据集文件添加到 data/ 目录
2. 从命令行运行 python make_registry.py 脚本来更新位于 arm-test-data/registry.txt 的注册表文件
3. 提交并将您的更改推送到GitHub

在笔记本和/或脚本中使用数据集

• 确保您的环境中安装了 arm-test-data 包

  python -m pip install arm-test-data
  
  # or
  
  python -m pip install git+https://github.com/ARM-DOE/arm-test-data
  
  # or
  
  conda install -c conda-forge arm-test-data
  

• 导入 DATASETS 并检查注册表以找出哪些数据集可用

  In [1]: from arm_test_data import DATASETS
  
  In [2]: DATASETS.registry_files
  Out[2]: ['sample_file.nc`]
  

• 要获取感兴趣的数据文件，请使用 .fetch 方法并提供数据文件名。这将

  • 如果文件不存在，则下载并缓存文件。
  • 检索并返回本地路径

  In [4]: filepath = DATASETS.fetch('sample_data.nc')
  
  In [5]: filepath
  Out[5]: '/Users/mgrover/Library/Caches/arm-test-data/sample_sgp_data.nc'
  

• 一旦您获得了本地文件路径，就可以使用它将数据集加载到pandas、xarray或您选择的任何包中

  In [6]: radar = pyart.io.read(filepath)
  

更改默认数据缓存位置

默认缓存位置（数据在本地系统上保存的位置）取决于操作系统。您可以使用 locate() 方法来识别它

from arm_test_data import locate
locate()

位置可以被ACT_TEST_DATA_DIR环境变量覆盖到指定的目标位置。