scikit-dataaccess

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)}

Namespace	Description	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.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}	^{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}	^{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}	^{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}	^{https://grace.jpl.nasa.gov/data/get-data/jpl_global_mascons}
^{geo.groundwater}	^{United States groundwater monitoring wells measuring the depth to water level}	^{https://waterservices.usgs.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}
^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.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.sentinel_1}	^{Sentinel-1 TOPSAR data from the European Space Agency retrieved from the Alaska Satellite Facility}	^{https://www.asf.alaska.edu/}
^geo.srtm	^{Elevation data at a one arc second resolution from the Shuttle Radar Topography Mission (SRTMGL1)}	^{https://lpdaac.usgs.gov/dataset_discovery/measures/measures_products_table/srtmgl1_v003}
^geo.uavsar	^{UAVSAR SLC data from JPL}	^{https://uavsar.jpl.nasa.gov/}
^{geo.wyoming_sounding}	^{Sounding data from the University of Wyoming}	^{http://weather.uwyo.edu/upperair/sounding.html}
^{planetary.ode}	^{Planetary data from PDS Geosciences Node's Orbital Data Explorer}	^{http://pds-geosciences.wustl.edu/default.htm}
^solar.sdo	^{Images from the Solar Dynamics Observatory}	^{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

Metadata

Release files for scikit-dataaccess 1.9.15

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for scikit-dataaccess 1.9.15
File	Size	Uploaded
scikit-dataaccess-1.9.15.tar.gz	9.5 MB	Aug 9, 2018	Details

Release files / scikit-dataaccess-1.9.15.tar.gz

Download URL	scikit-dataaccess-1.9.15.tar.gz
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Uploaded via	`twine/1.11.0 pkginfo/1.4.2 requests/2.19.0 setuptools/39.2.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/3.6.5`