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

[Manuel Spínola]

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.

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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