[R-sig-eco] Ecological datasets for teaching statistics

[Mollie Brooks]

> On 18Jun 2020, at 19:58, Manuel Spínola <mspinola10 using gmail.com> wrote:
> 
> Thank you very much Rich.
> 
> Yes, you are right, is a very broad spectrum.
> 
> I teach mainly to wildlife ecology students.
> 
> I was using several datasets from different sources for homeworks and
> final projects, but some of the students were "sharing" the results of the
> assignments so I decided to assign different datasets to each student for
> their homeworks.  This means that I need several datasets for each
> assignment, and the data need to be similar in the structure, for example,
> logistic regression, the response variable needs to be binary, and so on.

This specific example brings to mind…you could do presence/absence models with 8 species of salamanders in the Salamanders data set
https://rdrr.io/cran/glmmTMB/man/Salamanders.html <https://rdrr.io/cran/glmmTMB/man/Salamanders.html> 

Depending on class sizes, it might be enough for every student to get a different species, or you could break it up even further into subsets of data.

cheers,
Mollie

> 
> Manuel
> 
> 
> 
> El jue., 18 jun. 2020 a las 11:41, Rich Shepard (<rshepard using appl-ecosys.com>)
> escribió:
> 
>> On Thu, 18 Jun 2020, Manuel Spínola 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
>> 
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> 
> 
> -- 
> *Manuel Spínola, Ph.D.*
> Instituto Internacional en Conservación y Manejo de Vida Silvestre
> Universidad Nacional
> Apartado 1350-3000
> Heredia
> COSTA RICA
> mspinola using una.cr <mspinola using una.ac.cr>
> mspinola10 using gmail.com
> Teléfono: (506) 8706 - 4662
> Personal website: Lobito de río <https://sites.google.com/site/lobitoderio/>
> Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/>
> 
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