Devoted to open data and open source in science and education.

View All Tutorials


R programming (52)
Hierarchical Data Formats (HDF5) (15)
Spatial Data & GIS (22)
LiDAR (10)
Raster Data (14)
Remote Sensing (24)
Data Visualization (4)
Hyperspectral Remote Sensing (17)
Time Series (15)
Phenology (7)
Vector Data (6)
Metadata (1)
Git & GitHub (7)
(1) (1) (13)

Tutorial by R Package

dplyr (7)
ggplot2 (16)
h5py (2)
lubridate (time series) (6)
maps (1)
maptools (1)
plyr (2)
raster (26)
rasterVis (raster time series) (3)
rgdal (GIS) (24)
rgeos (2)
rhdf5 (11)
sp (5)
scales (4)
gridExtra (4)
ggtheme (0)
grid (2)
reshape2 (3)
plotly (5)

View ALL Tutorial Series

Twitter Youtube Github


R Bloggers
Date(s): May 25 - Jun 1, 2017

Welcome to Pre-Institute Week 1

In the first week of the pre-institute activities, we will review the NEON project. We will also provide you with a general overview of reproducible science. Over the next few weeks will we ask you to review materials and submit something that demonstrates you have mastered the materials.

Week 1 Activity

After reviewing the materials below, please write up a summary of a project that you are interested working on at the Data Institute. Be sure to consider what data you will need (NEON or other). You will have time to refine your idea over the next few weeks. Save this document as you will submit it next week as a part of week 2 materials!

Deadline: Please complete this by 11:59 Thursday June 1st 2017.

Week 1 Materials

Please carefully read and review the materials below: