• 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:

	Namespace	Preview (link)	Description & Data Source
Astronomy
	astro.kepler		Light curves for stars imaged by the NASA Kepler Space Telescope Source: https://keplerscience.arc.nasa.gov
	astro.spectra		Spectra from the Sloan Digital Sky Survey Source: https://www.sdss.org/dr14/spectro/
	astro.tess.data		TESS Data Alerts Source: https://archive.stsci.edu/prepds/tess-data-alerts/
	astro.tess.simulated		TESS End-to-End 6 simulated data Source: https://archive.stsci.edu/prepds/tess-data-alerts/
	astro.voyager		Data from the Voyager mission. Source: https://spdf.gsfc.nasa.gov/
Engineering
	engineering.la.traffic_counts		Traffic Count data in Los Angeles. Source: https://data.lacity.org/A-Livable-and-Sustainable-City/LADOT-Traffic-Counts-Summary/94wu-3ps3
	engineering.webcam.mit_sailing		Images from webcams located at the MIT Sailing Pavilion Source: http://sailing.mit.edu/webcam.php
Finance
	finance.timeseries		Financial time series data retrieved using Alpha Vantage API. Source: https://www.alphavantage.co/
Geoscience
	geo.era_interim		Era-Interim data at different pressure values from the European Centre for Medium-Range Weather Forecasts accessed through the University Corporation for Atmospheric Research. Source: https://rda.ucar.edu/datasets/ds627.0/
	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. Source: https://grace.jpl.nasa.gov/data/get-data/land-water-content
	geo.grace		NASA GRACE Tellus Monthly Mass Grids. 30-day measurements of changes in Earth’s gravity field to quantify equivalent water thickness. Source: https://grace.jpl.nasa.gov/data/get-data/monthly-mass-grids-land
	geo.grace.mascon		NASA GRACE Tellus Monthly Mass Grids - Global Mascons. 30-day measurements of changes in Earth’s gravity field to quantify equivalent water thickness. Source: https://grace.jpl.nasa.gov/data/get-data/jpl_global_mascons
	geo.groundwater		United States groundwater monitoring wells measuring the depth to water level. Source: https://waterservices.usgs.gov
	geo.magnetometer		Data collected at magnetic observatories operated by the U.S. Geological Survey. Source: https://geomag.usgs.gov
	geo.mahali.rinex		Rinex files from the MIT led NSF project studying the Earth’s ionosphere with GPS. Web: http://mahali.mit.edu
	geo.mahali.tec		Total Electron Content from the MIT led NSF project studying the Earth’s ionosphere with GPS. Web:http://mahali.mit.edu
	geo.mahali.temperature		Temperature data from the MIT led NSF project studying the Earth’s ionosphere with GPS. Web: http://mahali.mit.edu
	geo.modis		Spectroradiometer aboard the NASA Terra and Aqua image satellites. Generates approximately daily images of the Earth’s surface. Source:https://modis.gsfc.nasa.gov
	geo.pbo		EarthScope - Plate Boundary Observatory (PBO): Daily GPS displacement time series measurements throughout the United States. Source: http://www.unavco.org/projects/major-projects/pbo/pbo.html
	geo.sentinel_1		Sentinel-1 TOPSAR data from the European Space Agency retrieved from the Alaska Satellite Facility. Source:https://www.asf.alaska.edu/
	geo.srtm		Elevation data at a one arc second resolution from the Shuttle Radar Topography Mission (SRTMGL1). Source: https://lpdaac.usgs.gov/dataset_discovery/measures/measures_products_table/srtmgl1_v003
	geo.uavsar		UAVSAR SLC data from JPL. Source: https://uavsar.jpl.nasa.gov/
	geo.wyoming_sounding		Sounding data from the University of Wyoming. Source: http://weather.uwyo.edu/upperair/sounding.html
Planetary Science
	planetary.ode		Mars planetary data from PDS Geosciences Node's Orbital Data Explorer. Source: http://pds-geosciences.wustl.edu/default.htm
Solar Science
	solar.sdo		Images from the Solar Dynamics Observatory. Source: https://sdo.gsfc.nasa.gov/

Install

pip install scikit-dataaccess

Documentation

• User Manual: /docs/skdaccess_manual.pdf
  
• Code documentation (Doxygen): /docs/skdaccess_doxygen.pdf
• Code visualization (treemap): /docs/skdaccess_treemap.png
• Code class diagrams: /docs/class_diagrams

Contributors

Project lead: Victor Pankratius (MIT)
Contributors: Cody M. Rude, Justin D. Li, David M. Blair, Michael G. Gowanlock, Guillaume Rongier, 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