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Scikit Data Access Package for accessing scientific data sets.

Project description

Scikit Data Access
  • Import scientific data from various sources through one easy Python API.

  • Use iterator patterns for each data source (configurable data generators + functions to get next data chunk).

  • Skip parser programming and file format handling.

  • Enjoy a common namespace for all data and unleash the power of data fusion.

  • Handle data distribution in different modes: (1) local download, (2) caching of accessed data, or (3) online stream access

  • Easily pull data on cloud servers through Python scripts and facilitate large-scale parallel processing.

  • Build on an extensible plattform: Adding access to a new data source only requires addition of its “”.

  • Open source (MIT License)

Scikit Data Access Overview

Supported data sets (For updates, follow and




Data Source

astro_icon astro.kepler

nasa_logo Light curves for stars imaged by the NASA Kepler Space Telescope


astro_icon astro.voyager

nasa_logo Data from the Voyager mission


geo_icon geo.groundwater

usgs_logo United States groundwater monitoring wells measuring the depth to water level


geo_icon geo.pbo

unavaco_logo EarthScope - Plate Boundary Observatory (PBO): Daily GPS displacement time series measurements throughout the United States


geo_icon geo.grace

nasa_logo NASA GRACE Tellus Monthly Mass Grids. 30-day measurements of changes in Earth’s gravity field to quantify equivalent water thickness


geo_icon geo.gldas

nasa_logo Land hydrology model produced by NASA. This version of the data is generated to match the GRACE temporal and spatial characteristics and is available as a complementary data product


geo_icon geo.modis

nasa_logo Spectroradiometer aboard the NASA Terra and Aqua image satellites. Generates approximately daily images of the Earth’s surface


geo_icon geo.magnetometer

usgs_logo Data collected at magnetic observatories operated by the U.S. Geological Survey


geo_icon geo.mahali.rinex

mit_logo nsf_logo Rinex files from the MIT led NSF project studying the Earth’s ionosphere with GPS


geo_icon geo.mahali.tec

mit_logo nsf_logo Total Electron Content from the MIT led NSF project studying the Earth’s ionosphere with GPS


geo_icon geo.mahali.temperature

mit_logo nsf_logo Temperature data from the MIT led NSF project studying the Earth’s ionosphere with GPS


solar_icon solar.sdo

nasa_logo Images from the Solar Dynamics Observatory



pip install scikit-dataaccess



Contributors: Cody M. Rude, Justin D. Li, David M. Blair, Michael G. Gowanlock, Victor Pankratius

New contributors welcome! Contact skdaccess_contact to contribute and add interface code for your own datasets 😄


We acknowledge support from NASA AIST14-NNX15AG84G, NASA AIST16-80NSSC17K0125, NSF ACI-1442997, and NSF AGS-1343967.


Code examples (Jupyter notebooks) for all datasets listed above are available at: /skdaccess/examples

Scikit Data Access Overview

Project details

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scikit-dataaccess-1.9.7.tar.gz (4.2 MB view hashes)

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