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Ecological datasets for teaching statistics

19 messages · Holland, Jeffrey D, Rich Shepard, Mollie Brooks +6 more

#
Dear list members,

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 Sp?nola
#
Dear Manuel,
     Have a look at the Dryad data repository, datadryad.org.  You can search around for many ecological data sets.  I have used this a lot for similar classes.  You can also read the associated paper for the data sets and give students as much background as you wish.
Sincerely,
Jeff

/*-----------------------------------------------------------------------------------------------------------------------------
Jeffrey D. Holland, Professor                                             jdhollan at purdue.edu
Dept. of Entomology, Purdue University                        765 / 494-7739
www.entm.purdue.edu/landscapeecology
Fellow of the Indiana Academy of Science                     http://www.bugsmapsandmath.com
-------------------------------------------------------------------------------------------------------------------------------*/
#
On Thu, 18 Jun 2020, Manuel Sp?nola wrote:

            
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
#
Thank you very much Jeff.

I will take a look on that.

Manuel

El jue., 18 jun. 2020 a las 11:31, Holland, Jeffrey D (<jdhollan at purdue.edu>)
escribi?:

  
    
#
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 at appl-ecosys.com>)
escribi?:

  
    
#
On Thu, 18 Jun 2020, Manuel Sp?nola wrote:

            
Manuel,

I'm a stream ecologist/fluvial geomorphologist but have run my sole
environmental consulting practice for the past 27 years.
I have fish and benthic macroinvertebate data and some terrestrial animal
data, but this might be a good resource for you:
<https://ecologicaldata.org/find-data>.

When the animal's population status or critical habitat is controversial, as
most tend to be, it can be difficult to get good data sets from the resource
agencies.

Let me know if I can help.

Regards,

Rich
#
Thank you very much Rich.

Manuel

El jue., 18 jun. 2020 a las 12:11, Rich Shepard (<rshepard at appl-ecosys.com>)
escribi?:

  
    
#
Dear Manuel,

Our institute has published 54 datasets under an open data licence at GBIF (
https://www.gbif.org/dataset/search?publishing_org=1cd669d0-80ea-11de-a9d0-f1765f95f18b
)

You can look for local data on GBIF too.

Best regards,

ir. Thierry Onkelinx
Statisticus / Statistician

Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND
FOREST
Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
thierry.onkelinx at inbo.be
Havenlaan 88 bus 73, 1000 Brussel
www.inbo.be

///////////////////////////////////////////////////////////////////////////////////////////
To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to say
what the experiment died of. ~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data. ~ Roger Brinner
The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of data.
~ John Tukey
///////////////////////////////////////////////////////////////////////////////////////////

<https://www.inbo.be>


Op do 18 jun. 2020 om 19:58 schreef Manuel Sp?nola <mspinola10 at gmail.com>:

  
  
#
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

  
  
#
Thank you very much Michael.

Manuel

El jue., 18 jun. 2020 a las 12:36, Michael Mahoney (<
mike.mahoney.218 at gmail.com>) escribi?:

  
    
#
Thank you very much Thierry.

Manuel

El jue., 18 jun. 2020 a las 13:06, Thierry Onkelinx (<
thierry.onkelinx at inbo.be>) escribi?:

  
    
#
Thank you very much Mollie.

Manuel

El jue., 18 jun. 2020 a las 14:12, Mollie Brooks (<mollieebrooks at gmail.com>)
escribi?:

  
    
#
Allison Horst has packaged data on penguin species from the PAL-LTER
project at https://github.com/allisonhorst/palmerpenguins. This is a nice
dataset for basic instruction -- 344 observations and 7 variables, so it's
easily understandable but with enough complexity to at least introduce most
concepts.

Thanks,

Michael Mahoney
781-812-8842 | mike.mahoney.218 at gmail.com

Michael Mahoney
781-812-8842 | mike.mahoney.218 at gmail.com
On Thu, Jun 18, 2020 at 2:14 PM Manuel Sp?nola <mspinola10 at gmail.com> wrote:

            

  
  
#
Dear All, 
Sorry to use this thread for communication. I subscribed to this forum just a few days ago but couldn?t manage to communicate across the board. Please pardon me. If any of you can help me get around a statistical challenge 
I have just started using manyglm to analyze nematode with associated microbial community data and I am really happy with how robust the algorithm works. I have a question about the adjusted p- values. I run a pairwise comparison for one of my factors but the p-values generated were all the same for each pair of comparison. Is this output normal? besides, are the p-values adjusted when running the pairwise comparison? Which method does it use? ex Tukey, FDR, Holm, BH, etc. I am a bit confused as I do not understand really what is going on behind the scripts. 
Below is the script I used. 
Thanks and hoping to hear from you soon
Xorla Kanfra

mod_pairwise <-anova.manyglm(otutable.glm, nBoot=199, cor.type = "I", test = "LR", p.uni="adjusted",pairwise.comp = ~envdata$soil) 

Analysis of Deviance Table

Model: manyglm(formula = otutable.fv, family = "negative.binomial")

Multivariate test:
                              Res.Df Df.diff   Dev Pr(>Dev)   
(Intercept)                       88                          
envdata$soil                      81       7 42968    0.005 **
envdata$response                  80       1  4824    0.005 **
envdata$soil:envdata$response     73       7 16066    0.005 **
---
Signif. codes:  0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1

Pairwise comparison results: 
                                   Observed statistic Free Stepdown Adjusted P-Value   
envdata$soil:H vs envdata$soil:HH                6945                          0.005 **
envdata$soil:E vs envdata$soil:HH                6881                          0.005 **
envdata$soil:HH vs envdata$soil:R                6471                          0.005 **
envdata$soil:HH vs envdata$soil:M                6458                          0.005 **
envdata$soil:E vs envdata$soil:EE                6301                          0.005 **
envdata$soil:HH vs envdata$soil:K                6032                          0.005 **
envdata$soil:R vs envdata$soil:RR                5993                          0.005 **
envdata$soil:EE vs envdata$soil:RR               5855                          0.005 **
envdata$soil:EE vs envdata$soil:M                5835                          0.005 **



-----Original Message-----
From: R-sig-ecology [mailto:r-sig-ecology-bounces at r-project.org] On Behalf Of Thierry Onkelinx
Sent: Thursday, June 18, 2020 9:07 PM
To: Manuel Sp?nola
Cc: r-sig-ecology at r-project.org
Subject: Re: [R-sig-eco] Ecological datasets for teaching statistics

Dear Manuel,

Our institute has published 54 datasets under an open data licence at GBIF (
https://www.gbif.org/dataset/search?publishing_org=1cd669d0-80ea-11de-a9d0-f1765f95f18b
)

You can look for local data on GBIF too.

Best regards,

ir. Thierry Onkelinx
Statisticus / Statistician

Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND
FOREST
Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
thierry.onkelinx at inbo.be
Havenlaan 88 bus 73, 1000 Brussel
www.inbo.be

///////////////////////////////////////////////////////////////////////////////////////////
To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to say
what the experiment died of. ~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data. ~ Roger Brinner
The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of data.
~ John Tukey
///////////////////////////////////////////////////////////////////////////////////////////

<https://www.inbo.be>


Op do 18 jun. 2020 om 19:58 schreef Manuel Sp?nola <mspinola10 at gmail.com>:
_______________________________________________
R-sig-ecology mailing list
R-sig-ecology at r-project.org
https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
#
Your question is likely to get lost in the debris. Try posting it as a new
topic.

Cheers,
Roman

On Fri, Jun 19, 2020 at 7:40 AM Kanfra, Xorla <xorla.kanfra at julius-kuehn.de>
wrote:

  
    
#
Dear Roman,

Thank you for the suggestion. I tried a few minutes ago but go this response  ??The message's content type was not explicitly allowed??.

Please can you advise?

Kind regards

Xorla




From: Roman Lu?trik [mailto:roman.lustrik at gmail.com]
Sent: Friday, June 19, 2020 8:40 AM
To: Kanfra, Xorla
Cc: Thierry Onkelinx; Manuel Sp?nola; r-sig-ecology at r-project.org
Subject: Re: [R-sig-eco] Ecological datasets for teaching statistics

Your question is likely to get lost in the debris. Try posting it as a new topic.

Cheers,
Roman
On Fri, Jun 19, 2020 at 7:40 AM Kanfra, Xorla <xorla.kanfra at julius-kuehn.de<mailto:xorla.kanfra at julius-kuehn.de>> wrote:
Dear All,
Sorry to use this thread for communication. I subscribed to this forum just a few days ago but couldn?t manage to communicate across the board. Please pardon me. If any of you can help me get around a statistical challenge
I have just started using manyglm to analyze nematode with associated microbial community data and I am really happy with how robust the algorithm works. I have a question about the adjusted p- values. I run a pairwise comparison for one of my factors but the p-values generated were all the same for each pair of comparison. Is this output normal? besides, are the p-values adjusted when running the pairwise comparison? Which method does it use? ex Tukey, FDR, Holm, BH, etc. I am a bit confused as I do not understand really what is going on behind the scripts.
Below is the script I used.
Thanks and hoping to hear from you soon
Xorla Kanfra

mod_pairwise <-anova.manyglm(otutable.glm, nBoot=199, cor.type = "I", test = "LR", p.uni="adjusted",pairwise.comp = ~envdata$soil)

Analysis of Deviance Table

Model: manyglm(formula = otutable.fv, family = "negative.binomial")

Multivariate test:
                              Res.Df Df.diff   Dev Pr(>Dev)
(Intercept)                       88
envdata$soil                      81       7 42968    0.005 **
envdata$response                  80       1  4824    0.005 **
envdata$soil:envdata$response     73       7 16066    0.005 **
---
Signif. codes:  0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1

Pairwise comparison results:
                                   Observed statistic Free Stepdown Adjusted P-Value
envdata$soil:H vs envdata$soil:HH                6945                          0.005 **
envdata$soil:E vs envdata$soil:HH                6881                          0.005 **
envdata$soil:HH vs envdata$soil:R                6471                          0.005 **
envdata$soil:HH vs envdata$soil:M                6458                          0.005 **
envdata$soil:E vs envdata$soil:EE                6301                          0.005 **
envdata$soil:HH vs envdata$soil:K                6032                          0.005 **
envdata$soil:R vs envdata$soil:RR                5993                          0.005 **
envdata$soil:EE vs envdata$soil:RR               5855                          0.005 **
envdata$soil:EE vs envdata$soil:M                5835                          0.005 **



-----Original Message-----
From: R-sig-ecology [mailto:r-sig-ecology-bounces at r-project.org<mailto:r-sig-ecology-bounces at r-project.org>] On Behalf Of Thierry Onkelinx
Sent: Thursday, June 18, 2020 9:07 PM
To: Manuel Sp?nola
Cc: r-sig-ecology at r-project.org<mailto:r-sig-ecology at r-project.org>
Subject: Re: [R-sig-eco] Ecological datasets for teaching statistics

Dear Manuel,

Our institute has published 54 datasets under an open data licence at GBIF (
https://www.gbif.org/dataset/search?publishing_org=1cd669d0-80ea-11de-a9d0-f1765f95f18b
)

You can look for local data on GBIF too.

Best regards,

ir. Thierry Onkelinx
Statisticus / Statistician

Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND
FOREST
Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
thierry.onkelinx at inbo.be<mailto:thierry.onkelinx at inbo.be>
Havenlaan 88 bus 73, 1000 Brussel
www.inbo.be<http://www.inbo.be>

///////////////////////////////////////////////////////////////////////////////////////////
To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to say
what the experiment died of. ~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data. ~ Roger Brinner
The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of data.
~ John Tukey
///////////////////////////////////////////////////////////////////////////////////////////

<https://www.inbo.be>


Op do 18 jun. 2020 om 19:58 schreef Manuel Sp?nola <mspinola10 at gmail.com<mailto:mspinola10 at gmail.com>>:
_______________________________________________
R-sig-ecology mailing list
R-sig-ecology at r-project.org<mailto:R-sig-ecology at r-project.org>
https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
_______________________________________________
R-sig-ecology mailing list
R-sig-ecology at r-project.org<mailto:R-sig-ecology at r-project.org>
https://stat.ethz.ch/mailman/listinfo/r-sig-ecology


--
In God we trust, all others bring data.
#
Try to send plain text mail without attachments.

ir. Thierry Onkelinx
Statisticus / Statistician

Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND
FOREST
Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
thierry.onkelinx at inbo.be
Havenlaan 88 bus 73, 1000 Brussel
www.inbo.be

///////////////////////////////////////////////////////////////////////////////////////////
To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to say
what the experiment died of. ~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data. ~ Roger Brinner
The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of data.
~ John Tukey
///////////////////////////////////////////////////////////////////////////////////////////

<https://www.inbo.be>


Op vr 19 jun. 2020 om 11:23 schreef Kanfra, Xorla <
xorla.kanfra at julius-kuehn.de>:

  
  
#
all the same for each pair of comparison. Is this output normal?

With 199 bootstrap samples the smallest p you can get is 1/199=0,00502512...

Hope this helps,

Eduard

Am 19. Juni 2020, 11:33, um 11:33, Thierry Onkelinx <thierry.onkelinx at inbo.be> schrieb:

  
  
#
Dear Edward,
You are right with your observation. I analyzed the data based on 999 nboots without pairwise comparison and it worked fine. However,  I am not able to generate any output for the pairwise comparison at this high nboot (somehow the R could not output the results). I, therefore, reduced it to 199 to achieve these results.
Thanks for your help.
Xorla

From: Eduard Sz?cs [mailto:szoecs at uni-landau.de]
Sent: Friday, June 19, 2020 1:01 PM
Cc: Kanfra, Xorla; r-sig-ecology at r-project.org
Subject: Re: [R-sig-eco] Ecological datasets for teaching statistics
all the same for each pair of comparison. Is this output normal?
With 199 bootstrap samples the smallest p you can get is 1/199=0,00502512...
Hope this helps,
Eduard
Am 19. Juni 2020, um 11:33, Thierry Onkelinx <thierry.onkelinx at inbo.be<mailto:thierry.onkelinx at inbo.be>> schrieb:

Try to send plain text mail without attachments.

ir. Thierry Onkelinx
Statisticus / Statistician

Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND
FOREST
Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
thierry.onkelinx at inbo.be
Havenlaan 88 bus 73, 1000 Brussel
www.inbo.be<http://www.inbo.be>

///////////////////////////////////////////////////////////////////////////////////////////
To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to say
what the experiment died of. ~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data. ~ Roger Brinner
The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of data.
~ John Tukey
///////////////////////////////////////////////////////////////////////////////////////////

<https://www.inbo.be>


Op vr 19 jun. 2020 om 11:23 schreef Kanfra, Xorla <
xorla.kanfra at julius-kuehn.de>:

 Dear Roman,

 Thank you for the suggestion. I tried a few minutes ago but go this
 response  ??The message's content type was not explicitly allowed??.

 Please can you advise?

 Kind regards

 Xorla







 *From:* Roman Lu?trik [mailto:roman.lustrik at gmail.com]
 *Sent:* Friday, June 19, 2020 8:40 AM
 *To:* Kanfra, Xorla
 *Cc:* Thierry Onkelinx; Manuel Sp?nola; r-sig-ecology at r-project.org
 *Subject:* Re: [R-sig-eco] Ecological datasets for teaching statistics



 Your question is likely to get lost in the debris. Try posting it as a new
 topic.



 Cheers,

 Roman



 On Fri, Jun 19, 2020 at 7:40 AM Kanfra, Xorla <
xorla.kanfra at julius-kuehn.de> wrote:
Dear All,
 Sorry to use this thread for communication. I subscribed to this forum
 just a few days ago but couldn?t manage to communicate across the board.
 Please pardon me. If any of you can help me get around a statistical
 challenge
 I have just started using manyglm to analyze nematode with associated
 microbial community data and I am really happy with how robust the
 algorithm works. I have a question about the adjusted p- values. I run a
 pairwise comparison for one of my factors but the p-values generated were
 all the same for each pair of comparison. Is this output normal? besides,
 are the p-values adjusted when running the pairwise comparison? Which
 method does it use? ex Tukey, FDR, Holm, BH, etc. I am a bit confused as I
 do not understand really what is going on behind the scripts.
 Below is the script I used.
 Thanks and hoping to hear from you soon
 Xorla Kanfra

 mod_pairwise <-anova.manyglm(otutable.glm, nBoot=199, cor.type = "I", test
 = "LR", p.uni="adjusted",pairwise.comp = ~envdata$soil)

 Analysis of Deviance Table

 Model: manyglm(formula = otutable.fv, family = "negative.binomial")

 Multivariate test:
                               Res.Df Df.diff   Dev Pr(>Dev)
 (Intercept)                       88
 envdata$soil                      81       7 42968    0.005 **
 envdata$response                  80       1  4824    0.005 **
 envdata$soil:envdata$response     73       7 16066    0.005 **
 ---
 Signif. codes:  0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1

 Pairwise comparison results:
                                    Observed statistic Free Stepdown
 Adjusted P-Value
 envdata$soil:H vs envdata$soil:HH                6945
     0.005 **
 envdata$soil:E vs envdata$soil:HH                6881
     0.005 **
 envdata$soil:HH vs envdata$soil:R                6471
     0.005 **
 envdata$soil:HH vs envdata$soil:M                6458
     0.005 **
 envdata$soil:E vs envdata$soil:EE                6301
     0.005 **
 envdata$soil:HH vs envdata$soil:K                6032
     0.005 **
 envdata$soil:R vs envdata$soil:RR                5993
     0.005 **
 envdata$soil:EE vs envdata$soil:RR               5855
     0.005 **
 envdata$soil:EE vs envdata$soil:M                5835
     0.005 **



 -----Original Message-----
 From: R-sig-ecology [mailto:r-sig-ecology-bounces at r-project.org] On
 Behalf Of Thierry Onkelinx
 Sent: Thursday, June 18, 2020 9:07 PM
 To: Manuel Sp?nola
 Cc: r-sig-ecology at r-project.org
 Subject: Re: [R-sig-eco] Ecological datasets for teaching statistics

 Dear Manuel,

 Our institute has published 54 datasets under an open data licence at GBIF
 (

 https://www.gbif.org/dataset/search?publishing_org=1cd669d0-80ea-11de-a9d0-f1765f95f18b
 )

 You can look for local data on GBIF too.

 Best regards,

 ir. Thierry Onkelinx
 Statisticus / Statistician

 Vlaamse Overheid / Government of Flanders
 INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND
 FOREST
 Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
 thierry.onkelinx at inbo.be
 Havenlaan 88 bus 73, 1000 Brussel
 www.inbo.be<http://www.inbo.be>


 ///////////////////////////////////////////////////////////////////////////////////////////
 To call in the statistician after the experiment is done may be no more
 than asking him to perform a post-mortem examination: he may be able to say
 what the experiment died of. ~ Sir Ronald Aylmer Fisher
 The plural of anecdote is not data. ~ Roger Brinner
 The combination of some data and an aching desire for an answer does not
 ensure that a reasonable answer can be extracted from a given body of data.
 ~ John Tukey

 ///////////////////////////////////////////////////////////////////////////////////////////

 <https://www.inbo.be>


 Op do 18 jun. 2020 om 19:58 schreef Manuel Sp?nola <mspinola10 at gmail.com>:

 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 at appl-ecosys.com

)

 escribi?:
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



 --
 *Manuel Sp?nola, Ph.D.*
 Instituto Internacional en Conservaci?n y Manejo de Vida Silvestre
 Universidad Nacional
 Apartado 1350-3000
 Heredia
 COSTA RICA
 mspinola at una.cr <mspinola at una.ac.cr>
 mspinola10 at gmail.com
 Tel?fono: (506) 8706 - 4662
 Personal website: Lobito de r?o <
 https://sites.google.com/site/lobitoderio/>
 Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/>


________________________________

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



________________________________

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

________________________________

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




 --

 In God we trust, all others bring data.



________________________________

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