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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 “DataFetcher.py”.
  • Open source (MIT License)
Scikit Data Access Overview

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

Namespace Description Preview Data Source
astro_icon astro.kepler nasa_logo Light curves for stars imaged by the NASA Kepler Space Telescope kepler_preview https://keplerscience.arc.nasa.gov
astro_icon astro.voyager nasa_logo Data from the Voyager mission voyager_preview https://spdf.gsfc.nasa.gov
geo_icon geo.groundwater usgs_logo United States groundwater monitoring wells measuring the depth to water level groundwater_preview https://waterservices.usgs.gov
geo_icon geo.pbo unavaco_logo EarthScope - Plate Boundary Observatory (PBO): Daily GPS displacement time series measurements throughout the United States pbo_preview http://www.unavco.org/projects/major-projects/pbo/pbo.html
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 grace_preview https://grace.jpl.nasa.gov/data/get-data/monthly-mass-grids-land
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 gldas_preview https://grace.jpl.nasa.gov/data/get-data/land-water-content
geo_icon geo.modis nasa_logo Spectroradiometer aboard the NASA Terra and Aqua image satellites. Generates approximately daily images of the Earth’s surface modis_preview https://modis.gsfc.nasa.gov
geo_icon geo.magnetometer usgs_logo Data collected at magnetic observatories operated by the U.S. Geological Survey magnetometer_preview https://geomag.usgs.gov
geo_icon geo.mahali.rinex mit_logo nsf_logo Rinex files from the MIT led NSF project studying the Earth’s ionosphere with GPS mahali_rinex_preview http://mahali.mit.edu
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 mahali_tec_preview http://mahali.mit.edu
geo_icon geo.mahali.temperature mit_logo nsf_logo Temperature data from the MIT led NSF project studying the Earth’s ionosphere with GPS mahali_temperature_preview http://mahali.mit.edu
solar_icon solar.sdo nasa_logo Images from the Solar Dynamics Observatory sdo_preview 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 skdaccess_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

Scikit Data Access Overview

Release history Release notifications

This version
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1.9.10

History Node

1.9.9

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1.9.8

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1.9.7

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1.9.6.post1

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1.9.6

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1.9.5.post1

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1.9.5

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1.9.4

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1.9.3

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1.9.2

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1.1.2.post1

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1.1.2

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1.1.1

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1.1.0

History Node

1.0.0

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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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