Skip to main content

Provides utility functions for accessing data repository for openradar examples/notebooks

Project description

arm-test-data

CI PyPI Version Conda Version

A place to share radar data with the community, shared between the open radar packages

Sample data sets

These files are used as sample data in openradar examples/notebooks and are downloaded by arm-test-data package:

  • 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
  • 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

Adding new datasets

To add a new dataset file, please follow these steps:

  1. Add the dataset file to the data/ directory
  2. From the command line, run python make_registry.py script to update the registry file residing in open_radar_data/registry.txt
  3. Commit and push your changes to GitHub

Using datasets in notebooks and/or scripts

  • Ensure the arm-test-data package is installed in your environment

    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
    
  • Import DATASETS and inspect the registry to find out which datasets are available

    In [1]: from arm_test_data import DATASETS
    
    In [2]: DATASETS.registry_files
    Out[2]: ['sample_file.nc`]
    
  • To fetch a data file of interest, use the .fetch method and provide the filename of the data file. This will

    • download and cache the file if it doesn't exist already.
    • retrieve and return the local path
    In [4]: filepath = DATASETS.fetch('sample_data.nc')
    
    In [5]: filepath
    Out[5]: '/Users/mgrover/Library/Caches/arm-test-data/sample_sgp_data.nc'
    
  • Once you have access to the local filepath, you can then use it to load your dataset into pandas or xarray or your package of choice:

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

Changing the default data cache location

The default cache location (where the data are saved on your local system) is dependent on the operating system. You can use the locate() method to identify it:

from arm_test_data import locate
locate()

The location can be overwritten by the ACT_TEST_DATA_DIR environment variable to the desired destination.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

arm-test-data-0.0.2.tar.gz (16.3 kB view details)

Uploaded Source

Built Distribution

arm_test_data-0.0.2-py3-none-any.whl (11.6 kB view details)

Uploaded Python 3

File details

Details for the file arm-test-data-0.0.2.tar.gz.

File metadata

  • Download URL: arm-test-data-0.0.2.tar.gz
  • Upload date:
  • Size: 16.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for arm-test-data-0.0.2.tar.gz
Algorithm Hash digest
SHA256 6e4965bf60c14d8d86abd9bd69ad17ba277bdedc578503f80825398c2dc6dc33
MD5 0f92a10ab429830ad3363b97896a533e
BLAKE2b-256 c3af145d42f8672d40f991ce445ee47478e6ade9b4777ef38340efb8b44f601f

See more details on using hashes here.

File details

Details for the file arm_test_data-0.0.2-py3-none-any.whl.

File metadata

File hashes

Hashes for arm_test_data-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 db9bcca638fcf069c491d030239d75fd280865ca1c5c66c7e5578e8bd5cfcda0
MD5 4c979b2043bf63cf4649b82f7348b1a8
BLAKE2b-256 abaea92ba1898e27d1ac7a3313ea7c89f86987d7f456989c419b4ba38684f490

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page