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Scripts for preparing datasets in GeoQuery

Home Page: http://geoquery.org

License: MIT License

Shell 10.28% Python 84.33% R 0.71% HTML 4.68%

geo-datasets's Introduction

geo-datasets

Overview

each dataset directory should contain

  • a readme detailing all the steps needed to reproduce from scratch. This may include a download script or instructions on how to manually download, instructions for running any processing scripts and/or step by step instructions for any manual processing, as well as any other relevant information about the dataset and processing (caveats, notes, suggested usage, etc.)
  • all scripts used to produce data
  • ingest json prepared according to standard format used by geo framework (see existing datasets for examples)

Preparing data on SciClone

all raw data should be initially downloaded into the /sciclone/aiddata10/REU/pre_geo/raw directory and processing should output to the /sciclone/aiddata10/REU/pre_geo/data directory

after code review, testing, quality assurance steps data will be moved the raw and data directories within /sciclone/aiddata10/REU/pre_geo to their respective directories in /sciclone/aiddata10/REU/geo for ingest into the geo framework

License

this repository is released under the MIT license. See LICENSE.md for more information

geo-datasets's People

Contributors

sgoodm avatar jacobwhall avatar mirandalv avatar cmhwang avatar

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