Many ecological journals either encourage or require that the dataset
behind a paper be submitted to a repository such as dryad, or included as
an electronic appendix. Even if your university does not have
institutional subscription to all journals, some journals like Ecosphere
are open-access, many journals allow authors to pay to make their papers
open-access, and some journals with paywall papers allow free access to the
abstract and the supplements including datasets or links to the datasets in
repositories. That has an advantage of letting you work from a topic or
form of data for your teaching to find suitable datasets. Also, those
datasets tend to be cleaned and documented and close to ready for the
analyses, as they were used in the analyses in the publications.
The rdryad package from rOpenSci (on CRAN) has the ability to search
dryad, but I suspect that search works better with ecological keywords than
statistical ones.
Tom
-----Original Message-----
From: R-sig-ecology <r-sig-ecology-bounces at r-project.org> On Behalf Of
Rich Shepard
Sent: Thursday, June 18, 2020 10:38 AM
To: r-sig-ecology at r-project.org
Subject: [EXTERNAL] Re: [R-sig-eco] Ecological datasets for teaching
statistics
On Thu, 18 Jun 2020, Manuel Sp?nola wrote:
I teach statistics to students in ecology and environmental sciences
fields and I would like to know if you could point me in the right
direction of sources of ecological/environmental datasets within and
outside packages, especially for general/generalized linear models and
multivariate statistics.
Manuel,
Ecology, and it's applied focus Environmental science, are very broad.
I've been working with these data for several decades so I need to ask what
types of data you want.
I don't know what's available from Costa Rican agencies but I do know that
in the US you can get geochemical, biological, hydrologidal, and other data
from the US Geological Survay, Environmental Protection Agency (if they've
not removed them), Department of Agriculture's Forest Service and Natural
Resources Conservation Service.
You can also look at StreamNet run by the Pacific States Marine Fisheries
Council, The Army Corps of Engineers for hydraulic, flow, and sediment
transport data.
That's a start.
Rich