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 _______________________________________________ R-sig-ecology mailing list R-sig-ecology at r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology