Credits
Sources of Materials
The first few chapters of the Basics section were heavily sourced and adapted from “Software Carpentry: R for Reproducible Scientific Analysis.” Thomas Wright and Naupaka Zimmerman (eds): Version 2016.06, June 2016 https://github.com/swcarpentry/r-novice-gapminder, .
- Licensed under CC-BY 4.0 2018–2020 by The Carpentries.
The Good File Naming chapter was heavily sourced from “File organization for reproducible research.” Data Carpentry Reproducible Research Committee. 2016.
- Licensed under CC-BY 4.0 2018–2020 by The Carpentries.
Small sections in the Data Munging section where inspired by text in the online version of “R 4 Data Science”, Garrett Grolemund & Hadley Wickham.
- Licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
Images contained throughout the materials and watermarked with Scriberia were sourced from “Illustrations from the Turing Way book dashes”, . Images were created by Scriberia for The Turing Way community.
- Licensed under CC-BY 4.0 by The Turing Way.
Data for the the main practical parts of the course were sourced from the NEON Data Portal, provided by the National Ecological Observatory Network. 2019 Provisional data downloaded from http://data.neonscience.org on 2019-08-06. Battelle, Boulder, CO, USA.
- Data Products: NEON.DOM.SITE.DP1.10098.001
- Name: Woody plant vegetation structure
- Description: Structure measurements, including height, canopy diameter, and stem diameter, as well as mapped position of individual woody plants
- Query information:
- Start Date-Time for Queried Data: 2018-08-15 16:00 (UTC)
- End Date-Time for Queried Data: 2018-08-29 16:00 (UTC)
- Domains: D01:D9
- LICENSE
- Disclaimer
THE NEON DATA PRODUCTS ARE PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, TITLE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR ANYONE DISTRIBUTING THE NEON DATA PRODUCTS BE LIABLE FOR ANY DAMAGES OR OTHER LIABILITY, WHETHER IN CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE NEON DATA PRODUCTS.
Materials for the Research Compendium section were sourced from Carl Boettiger. (2018, April 17). cboettig/noise-phenomena: Supplement to: “From noise to knowledge: how randomness generates novel phenomena and reveals information” , accompanying the publication: Carl Boettiger . From noise to knowledge: how randomness generates novel phenomena and reveals information. Published in Ecology Letters, 22 May 2018 https://doi.org/10.1111/ele.13085.