Reproducibility Starts at the Source: R, Python, and Julia Packages for Retrieving USGS Hydrologic Data

Reproducibility Starts at the Source: R, Python, and Julia Packages for Retrieving USGS Hydrologic Data

Much of modern science takes place in a computational environment, and, increasingly, that environment is programmed using R, Python, or Julia. Furthermore, most scientific data now live on the cloud, so the first step in many workflows is to query a cloud database and load the response into a compu...

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Bibliographic Details
Main Authors: Timothy O. Hodson, Laura A. DeCicco, Jayaram A. Hariharan, Lee F. Stanish, Scott Black, Jeffery S. Horsburgh
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Water
Subjects:
packaged workflows
water data
reproducibility
open science
open data
open source
Online Access:https://www.mdpi.com/2073-4441/15/24/4236

Internet

https://www.mdpi.com/2073-4441/15/24/4236

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