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Scikit Data Access Package for accessing scientific data sets.

Project Description

  • 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 “DataFetcher.py”.
  • Open source (MIT License)

Supported data sets (For updates, follow https://twitter.com/scikit_data and https://twitter.com/mithaystack)

Namespace Description Preview Data Source
astro.kepler Light curves for stars imaged by the NASA Kepler Space Telescope https://keplerscience.arc.nasa.gov
astro.voyager Data from the Voyager mission https://spdf.gsfc.nasa.gov
geo.groundwater United States groundwater monitoring wells measuring the depth to water level https://waterservices.usgs.gov
geo.pbo EarthScope - Plate Boundary Observatory (PBO): Daily GPS displacement time series measurements throughout the United States http://www.unavco.org/projects/major-projects/pbo/pbo.html
geo.grace NASA GRACE Tellus Monthly Mass Grids. 30-day measurements of changes in Earth’s gravity field to quantify equivalent water thickness https://grace.jpl.nasa.gov/data/get-data/monthly-mass-grids-land
geo.gldas 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 https://grace.jpl.nasa.gov/data/get-data/land-water-content
geo.modis Spectroradiometer aboard the NASA Terra and Aqua image satellites. Generates approximately daily images of the Earth’s surface https://modis.gsfc.nasa.gov
geo.magnetometer Data collected at magnetic observatories operated by the U.S. Geological Survey https://geomag.usgs.gov
geo.mahali.rinex Rinex files from the MIT led NSF project studying the Earth’s ionosphere with GPS http://mahali.mit.edu
geo.mahali.tec Total Electron Content from the MIT led NSF project studying the Earth’s ionosphere with GPS http://mahali.mit.edu
geo.mahali.temperature Temperature data from the MIT led NSF project studying the Earth’s ionosphere with GPS http://mahali.mit.edu
solar.sdo Images from the Solar Dynamics Observatory https://sdo.gsfc.nasa.gov

Install

pip install scikit-dataaccess

Documentation

Contributors

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

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

Acknowledgements

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

Examples

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

Release History

This version
History Node

1.9.10

History Node

1.9.9

History Node

1.9.8

History Node

1.9.7

History Node

1.9.6.post1

History Node

1.9.6

History Node

1.9.5.post1

History Node

1.9.5

History Node

1.9.4

History Node

1.9.3

History Node

1.9.2

History Node

1.1.2.post1

History Node

1.1.2

History Node

1.1.1

History Node

1.1.0

History Node

1.0.0

Download Files

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Filename, Size & Hash SHA256 Hash Help File Type Python Version Upload Date
scikit-dataaccess-1.9.10.tar.gz
(4.2 MB) Copy SHA256 Hash SHA256
Source None Jan 26, 2018

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