Gleon Fellowship - New pages [en]

Spring summit

2015-03-20T15:03:44Z

Hilary:

[[Category:Task]]
== Spring Summit ==
Friday April 17th, 1-3pm CDT

(1) We will be using Zoom videoconferencing for the summit. It allows easy switch of presenter roles to share your screen/pptx for the group to view. Both Zoom video & audio also work pretty well with cellphone and tablets (iOS and Android), or when you connect from a lower bandwidth. You will be prompted to download and install the Zoom Launcher after you connect to our meeting link: https://zoom.us/j/6082344253 - if you have not used it or saved its app launcher plugin in your browser before. We will send the link again & additional phone call-in info with the updated agenda forthcoming.

*You can start/test connecting to the meeting starting from 30 min prior to the scheduled summit (1230 to 1pm US CDT). If any questions or you wish to test at a different time please do not hesitate to contact Grace.

(2) Each team (SALT and S.O.S.) will give a ~30-min report back on your progress & next steps. In addition to overall project updates, please include slides that touch on the following topics:
How did you handle logistics?
What has worked well so far? What are you happy with?
What were some challenges of the project so far? Are you disappointed in anything?

(3) After both group updates, we will have a 30-40 min general discussions of the following (subject to change):
What has been working well since January? (Science, data, team organizing, etc.)
Any bottlenecks or challenges? Data integration, analyses, or others. Discuss potential solutions.
Preliminary August (16th -20th) workshop goals.
Other items

*Time zone conversions (only listing starting time):
US PDT: 11am
US CDT: 1pm
US EDT & Ontario: 2pm
Argentina: 3pm



{{#set:
Owner=Hilary|
StartDate=2015-03-20|
TargetDate=2015-04-30|
Type=High}}

Week 2

2015-03-05T13:42:27Z

Hilary: Creating new page with Category: Task

[[Category:Task]]

Week 1

2015-03-05T13:42:24Z

Hilary:

[[Category:Task]]
== Annotated Bibliography ==
===Findlay, SEG. & Kelly, VR. Emerging indirect and long-term road salt effects on ecosystems. Annals of the New York Academy of Sciences 1223, 58-68 (2011).===



{{#set:
StartDate=2015-03-01|
TargetDate=2015-03-21|
Type=Low}}

NLA 2012

2015-02-25T20:23:47Z

Hilary: Creating new page with Category: Task

[[Category:Task]]

Follow up with NYCDEP

2015-02-25T17:55:07Z

Hilary: Set PropertyValue: Owner = Hilary

[[Category:Task]]


{{#set:|
Owner=Hilary}}

Contact Finnish colleagues

2015-02-25T17:54:54Z

Hilary: Creating new page with Category: Task

[[Category:Task]]

Contact Norwegians colleagues

2015-02-25T17:54:45Z

Hilary: Set PropertyValue: Owner = Sam

[[Category:Task]]


{{#set:|
Owner=Sam}}

Hilary talk to Corinna

2015-02-25T17:54:11Z

Hilary: Creating new page with Category: Task

[[Category:Task]]

Seek out Australia or New Zealand

2015-02-25T17:53:48Z

Hilary: Set PropertyValue: Owner = Jon

[[Category:Task]]


{{#set:
Owner=Jon|
Type=Low}}

03-23-2015

2015-02-25T17:48:22Z

Hilary: Creating new page with Category: Task

[[Category:Task]]

02-25-2015

2015-02-25T17:48:08Z

Hilary: Set PropertyValue: TargetDate = 2015-03-23

[[Category:Task]]

== GLEON – SALT Agenda 2/25 Meeting ==
#Long-term data collection progress reports: # of lakes, # of years, chemistry measured, trends observed:
#*Nick: USA
#**'''90+ lakes'''
#*Sam: Canada
#**'''Dozens of lakes, more time to collect data'''
#*Flora: Central/South America
#*Sarah: Africa
#*Jamie: Europe
#**'''Sweden has total coverage, some UK, work on Finland/Norway'''
#Future long-term data collection
#*How much longer?
#**'''Mid-April, but starting working on data processing'''
#*Weaker regions to target
#**'''Add Australia/NewZealand'''
#Dataset Processing
#*Standardize format, create metadata and combine into one dataset?
#**'''Hilary will talk to Corinna'''
#*Control Vocabulary for Datasets (Nick)
#*Standardizes variable naming and dataset structure
#*Share control vocab supplement
#*Share metadata template
#*Everyone does metadata, but does anyone want to take lead on combining, formatting?
#Preliminary results of literature search
#*Current state of research into the effects of Na and Cl
#*Major knowledge gaps to be filled
#Future directions for literature search
#*Target papers related to specific research questions?
#*Assign topics
#Status of NLA, specifically 2012 (Hilary)
#ODS Wiki
#*Would it be useful for our future goals?
#**'''YES!!'''
#Set meeting times for next month+
#**'''March 23, 9AM EST'''


{{#set:
Owner=Hilary|
Progress=100|
StartDate=2015-02-25|
SubTask=Seek_out_Australia_or_New_Zealand|
SubTask=Contact_Norwegians_colleagues|
SubTask=Contact_Finnish_colleagues|
SubTask=Follow_up_with_NYCDEP|
SubTask=Contact_Corinna_about_data_workflow|
SubTask=NLA_2012|
TargetDate=2015-03-23|
Type=Low}}

Paper Club

2015-02-25T17:45:09Z

Hilary: /* Weekly Readings */

[[Category:Task]]
== Weekly Readings ==

===Week 1===
February 25th: Findlay, SEG. & Kelly, VR. Emerging indirect and long-term road salt effects on ecosystems. Annals of the New York Academy of Sciences 1223, 58-68 (2011).
[http://onlinelibrary.wiley.com/doi/10.1111/j.1749-6632.2010.05942.x/full link]

===Week 2===
March 4th: "Great Lakes chloride trends: Long-term mass balance and loading analysis” from the Journal of Great Lakes, 2009, authored by Steven C. Chapra, Alice Dove, David C. Rockwell.
[http://www.bioone.org/doi/abs/10.1016/j.jglr.2008.11.013 link]

===Week 3===
March 11th: "Salinization of Mirror Lake by Road Salt", 2009, by Gene E. Likens & Donald C. Buso
[http://link.springer.com/article/10.1007/s11270-009-0066-0 link]

===Week 4===
March 18th: "A global database of lake surface temperatures collected by in situ and satellite methods from 1985–2009”
[http://www.nature.com/articles/sdata20158 link]

===Week 5===
'Road salt application differentially threatens water resources in Lake George, New York' (2015). Swinton M.W. et al. 
White Paper on Lake George
[http://voices.nationalgeographic.com/2014/11/01/winter-road-salt-the-next-acid-rain-may-threaten-adirondack-queen-of-american-lakes/ link]



{{#set:
Owner=Hilary|
StartDate=2015-02-11|
SubTask=Week_2|
SubTask=Week_1|
TargetDate=2015-07-22|
Type=Low}}

Metadata

2015-02-25T17:42:09Z

Hilary: Added PropertyValue: Participants = Hilary

[[Category:Task]]


{{#set:
Owner=Nick_Skaff|
Participants=Hilary|
StartDate=2015-02-25|
TargetDate=2015-03-25|
Type=Medium}}

Standardization Workfow

2015-02-25T17:42:05Z

Hilary:

[[Category:Task]]

Need a workflow for standardizing our datasets.

Hilary will talk to Corinna Gries as a starting point.



{{#set:
Owner=Hilary|
StartDate=2015-02-25|
TargetDate=2015-03-25|
Type=Medium}}

Analyses

2015-02-25T17:41:29Z

Hilary: Creating new page with Category: Task

[[Category:Task]]

Data

2015-02-25T17:41:23Z

Hilary: Set PropertyValue: Owner = Hilary

[[Category:Task]]


{{#set:
Owner=Hilary|
StartDate=2015-02-25|
SubTask=Standardization_Workfow|
SubTask=Metadata|
TargetDate=2015-06-25|
Type=High}}

Meeting Agendas or Minutes

2015-02-23T20:08:43Z

Hilary:

[[Category:Task]]



{{#set:
Owner=Hilary|
StartDate=2015-02-23|
SubTask=03-23-2015|
SubTask=02-25-2015|
TargetDate=2015-06-25|
Type=Low}}

Looping a Function Over Multiple Data Files - Mindy Morales

2015-01-26T19:36:56Z

Hilary:

[[Category:Task]]
=== Usefulness of skill ===
* DOM fluorescence spectroscopy generates many large matrix files
* Files require multiple corrections, calculations, and extraction of wavelength regions to provide useful information about DOM pool
* Usually done in MATLAB; open source code has not been developed for R
* Technique is not exclusive to EEM data and can be applied to any analysis that requires applying the same operation to multiple files.

=== Challenges ===
Working directory should only contain files of specified extension that you want to analyze

=== Sample code ===
In this example, a humification index (HIX, with corrections from Ohno 2008) is calculated from multiple .csv files

;Define function
: <code>HIX<-function(low,high){sum(high)/(sum(high)+sum(low))}</code>

;Batch import csv files from wd
: <code>hixfiles <- list.files(pattern = "csv")</code>

;Create NULL vector to drop data into
: <code>hix_o <- NULL</code>

;Loop calculates HIX across all files in wd
: <code>for (i in 1:length(hixfiles)){
tmp <- read.csv(hixfiles[i])
hix_o[i] = HIX(tmp$low, tmp$high)
}</code>

;Define vector to store results
: <code>results = data.frame(hixfiles, hix_o)</code>
: <code>print(results)</code>

;Export to wd
: <code>write.csv(hix_o,file="hix.csv")</code>



{{#set:
Expertise=R_programming|
Owner=Mindy|
Progress=100|
StartDate=2015-01-26|
TargetDate=2015-01-26|
Type=Low}}

Downloading and Processing Radiation Data

2015-01-25T20:34:32Z

Doubek: Creating new page with Category: Task

[[Category:Task]]

Zonal Statistics or Extracting Raster Data

2015-01-21T03:54:26Z

Ianm: Set PropertyValue: TargetDate = 2015-01-20

[[Category:Task]]

'''Zonal Statistics'''

Let's say you have a series of annual precipitation grids for a given site. Within this site you have a set of study plots and you want to extract precipitation values from each grid for each of your study plots. This is great application of zonal statistics. If you plots are points, zonal statistics will simply extract precipitation values for the location of each point. If your plots are lines or polygons, zonal statistics can be used to calculate the mean (or some other statistic) precipitation for each plot.

'''Skill Relevance and Usefulness'''

Use of zonal statistics is widely applicable across disciplines that utilize spatial datasets.

'''What You'll Need'''

The approach shown here uses the mpatools and raster libraries in R
http://cran.r-project.org/web/packages/maptools/maptools.pdf
http://cran.r-project.org/web/packages/raster/raster.pdf

A surprising number of people is unaware that you can use GIS shapefiles in R.The maptools library imports .shp points, lines and polygons

'''Example Code'''

This is a code that you could adapt for your own purposes; hopefully it is enough to guide you. You'll obviously need to designate your own directories and name your own files. Also, this code contains lines for polygons and points; you may very well want one or the other. The list function might be confusing. I used pattern-matching to pick out only March precipitation grids from my directory (which contained grids for all months). The pattern="mar.asc$" tells R to pick out files with a specific type of name, in this case ascii grids for March.

This example extracts March precipitation data for a set of study plots in the Tehachapi Mountains, CA. The outputs are csv files written to a user-specified directory.

<nowiki>#</nowiki> Import a shapefile to R and use it to extract zonal statistics from a directory of rasters

<nowiki>#</nowiki> Update working directory

setwd("H:/Ian_GIS/Climate/precip/Tejon/Historic")

<nowiki>#</nowiki> Load raster package (may have to install first)

library(raster)

<nowiki>#</nowiki> Make list of asci files in already specified working directory

Clim_list = list.files(pattern = "mar.asc$") # "mar.asc$" queries files in directory ending in this pattern

<nowiki>#</nowiki> Check number of files in raster list

length = length(Clim_list)

<nowiki>#</nowiki> Crete stack of rasters in list

Clim_stack = stack(Clim_list)

<nowiki>#</nowiki> Create spatial dataset from shapefile (use points, polygons or lines)

library(maptools)

points = readShapePoints("H:/Ian_GIS/Tejon_data/TejonPlots/TejonPoints")

studyarea = readShapePoly("H:/Ian_GIS/Tejon_data/FullStudyArea/Tejon_study_area",IDvar="ID")

<nowiki>#</nowiki> Extract raster pixels from point dataset
for(j in 1:length) {
ex = extract(Clim_stack,points,method='simple',layer=1,nl=length, df=T)
ex$ID = NULL}

<nowiki>#</nowiki> Extract study area mean from polygon dataset
for(j in 1:length) {
bus = extract(Clim_stack,studyarea, fun=mean, layer=1, nl=length, df=T, na.rm=T)
bus$ID = NULL}
bus = t(bus)

<nowiki>#</nowiki> Output csv file (point data)

write.csv(ex, "H:/Ian_GIS/Tejon/TejonPlots/Mar_precip_pts.csv", row.names=plots$Id, na="NA")

<nowiki>#</nowiki> Output csv file (zonal polygon data)

write.csv(bus, "H:/Ian_GIS/Tejon/FullStudyArea/Mar_precip_SA.csv", na="NA")



{{#set:
Expertise=R_programming|
Expertise=Raster|
Expertise=GIS|
Owner=Ian_McCullough|
Participants=Ian_McCullough|
Progress=100|
StartDate=2015-01-20|
TargetDate=2015-01-20|
Type=Low}}

Creating Maps and Assessing Spatial Autocorrelation

2015-01-21T00:01:06Z

Hilary: Set PropertyValue: Owner = Nick Skaff

[[Category:Task]]
==Displaying Data on Maps and Assessing Autocorrelation==

'''Map Making:'''
Visualizing maps and using them to display information

'''Detecting Autocorrelation:'''
Are observations close to each other more likely to have similar values than those farther apart?

'''Why I chose this skill?'''
*Powerful alternative to ESRI
*Useful to people who work at macro-scales
*Daunting initially

'''How you can use it:'''
*Identify trends/patterns
*Make prettier maps
*QAQC big databases
*Properly analyze your data

'''Challenges:'''
*Importing .shp so readable to ggplot
*Unique identifiers have to be perfect
*Takes some time to learn how to control ggplot


{{#set:
Owner=Nick_Skaff|
Participants=Nick_Skaff|
Progress=100|
StartDate=2015-01-25|
TargetDate=2015-01-29|
Type=Low}}

Filling Time-Series Data Gaps - Derek Roberts

2015-01-20T21:33:58Z

Derek: Set PropertyValue: Type = low

[[Category:Task]]
==Skills Sharing: Filling Time-Series Data Gaps in R==

*Time-series analyses require evenly spaced spaced time intervals
*Instruments and sensors occasionally have issues - time gaps are created
*R allows for easy scanning and filling of time-series data sets



{{#set:
Expertise=R_programming|
Owner=Derek_Roberts|
Participants=Derek_Roberts|
Progress=100|
StartDate=2015-01-12|
TargetDate=2015-01-13|
Type=Low}}

SOS

2015-01-20T18:16:27Z

Katie: /* Modelling lake carbon budgets to determine: */

[[Category:Task]]
==SOS: Source or Sink==
===Modelling lake carbon budgets to determine:===
*What factors drive the trophic status of lakes.
*How these factors vary along environmental gradients.

Members:
*Kait Farrell
*Ian McCullough
*Ana Morales
*Zu Tao Ouyang
*Derek Roberts
*Facundo Scordo



{{#set:
StartDate=2015-01-15|
TargetDate=2016-08-01|
Type=High}}

Importing Google Maps to Plot Data- Kait Farrell

2015-01-20T15:35:00Z

Katie: /* R Package involed */

[[Category:Task]]
== Skills Sharing: Importing Google Maps directly into R to visualize data ==

===Why use this skill?===
* Visually show differences between sampling locations based on some other parameter of interest
* Directly import maps from Google Maps or OpenStreet Map- ArcGIS not required (does require internet connection)
* Minimal coding needed to execute

===R Package involed===
* ggmap
* ggplot2

===Challenges===
* Adjusting map parameters to show focal area most effectively
:Zoom ranges from 3 (continent) to 21 (building), default value 10 (city)
* Obtaining code to fine-tune plot outputs (similar to ggplot)
:Details shown in code below include:
::*Superimposing points from data file (ex. 'data') based on sampling lat/long where color and size both vary by discharge ('Q')
::*Defining color scales and limits
::*Defining size scale for plotted points

===Example code===
<nowiki># Load relevant packages</nowiki> 
<code>library(ggplot2) 
library(ggmap)</code>

<nowiki># Import dataset to superimpose over map</nowiki> 
<code>data <- read.csv("C:\\Users\\FarrellKJ\\Documents\\R\\mean_depth.csv", header = TRUE)</code>

<nowiki># Pull map from Google (e.g., location = c('Sunappe, NH') or specified lat/long (as below)</nowiki> 
<code>map <- get_map(location = c(lon = -83.44, lat = 35.05), zoom = 14, maptype = c('hybrid'))</code>

<nowiki># Plot map- 2013 Q</nowiki> 
<code>ggmap(map) + geom_point(aes(x = lat, y = long, colour=Q, size=Q), data = data) + scale_colour_continuous(name='Discharge (L/s)',limits=c(0,1000), low = "yellow", high = "red", space = "Lab", guide = "colorbar") + scale_size(guide='none', range= c(2,12), limits=c(0,1000), breaks=c(5, 50, 100, 400, 800))</code>

[[File:Skill_sharing_image_KJF.jpeg|frame|center|Example plot based on code above, showing changes in discharge along a stream network]]



{{#set:
Expertise=Maps|
Expertise=Visualization|
Expertise=R|
Owner=Kait_Farrell|
Participants=Kait_Farrell|
Progress=100|
StartDate=2015-01-20|
TargetDate=2015-01-20|
Type=Low}}

Batch Files - Hilary Dugan

2015-01-20T15:08:33Z

Hilary: Added PropertyValue: Expertise = r programming

[[Category:Task]]
==Skills Sharing: Batch files to graph with R==

Why should I use a batch file?
* Any R script can be run without opening R
* Can output figures
* Can be automated to run daily

Challenges:
* Batch files run natively on Windows OS

Example on Windows 7:
Two files are needed
# The R script (ex. helloworld.R)
# The batch file should be saved as "NAME.bat". It will be a text file that contains the following code (substitute path directories where necessary).
<code>"C:\Program Files\R\R-2.15.2\bin\x64\R.exe" CMD BATCH "D:\user\...\helloworld.r" "D:\...\helloworld.out”
</code>



{{#set:
Expertise=R_programming|
Owner=Hilary|
Progress=100|
StartDate=2015-01-19|
TargetDate=2015-01-23|
Type=Low}}

SALT

2015-01-15T14:15:06Z

Hilary: Added PropertyValue: SubTask = Journal_Club

[[Category:Task]]

'''MODELING GLOBAL TRENDS AND DRIVERS OF LAKE SALT TO ASSESS ECOLOGICAL IMPACTS'''

'''Members:''' 
Jon Doubek 
Sarah Bartlett 
Nick Skaff 
Jamie Summers 
Samantha Burke 
Flora Krivak-Tetley 
Hilary Dugan 



{{#set:
Participants=Flora|
StartDate=2015-01-15|
SubTask=Meeting_Agendas_or_Minutes|
SubTask=Data|
SubTask=Analyses|
SubTask=Journal_Club|
TargetDate=2015-08-01|
Type=High}}

Skills Sharing Activity

2015-01-09T21:16:03Z

Admin: Deleted PropertyValue: SubTask = Distributions:_visualizations_and_very_simple_models_-_Flora_Krivak-Tetley

[[Category:Task]]

==Introduction to R coding==

The first workshop began with an R Skills Sharing activity. All fellows presented on their chosen skill.

The general instructions were:
Identify a skill, tool technique you currently do not know how to implement, and learn how to carry it out. Explain the skill’s relevance to you (why did you choose it?) and to others (how can others use it?), and visualize results in a plot, if appropriate. Overall, you should aim to stretch a bit outside of your current knowledge ‘comfort zone’.

The presentations are included here.



{{#set:
Owner=Hilary|
Participants=Flora|
StartDate=2015-01-12|
SubTask=Batch_Files_-_Hilary_Dugan|
SubTask=Importing_Google_Maps_to_Plot_Data-_Kait_Farrell|
SubTask=Filling_Time-Series_Data_Gaps_-_Derek_Roberts|
SubTask=Creating_Maps_and_Assessing_Spatial_Autocorrelation|
SubTask=Zonal_Statistics_or_Extracting_Raster_Data|
SubTask=Downloading_and_Processing_Radiation_Data|
SubTask=Looping_a_Function_Over_Multiple_Data_Files_-_Mindy_Morales|
TargetDate=2015-02-01|
Type=Medium}}

Partcipants

2015-01-09T20:50:00Z

Hilary: /* Fellows */

[[Category:Task]]

===Leadership Team===
{| class="wikitable"
! Name
! Institution
|-
| Paul Hanson
| University of Wisconsin-Madison
|-
| Kathleen Weathers
| Cary Institute
|-
| Grace Hong
| University of Wisconsin-Madison
|-
| Hilary Dugan
| University of Wisconsin-Madison
|}

===Fellows===
{| class="wikitable"
! Name
! Institution
|-
|Kait Farrell
|University of Georgia
|-
|Flora Krivak-Tetley
| Dartmouth College
|-
| Ian McCullough
| University of California, Santa Barbara
|-
| Mindy Morales
| Iowa State
|-
| Derek Roberts
| University of California, Davis
|-
| Nick Skaff
| Michigan State University
|-
| Jonathan Doubek
| Virginia Tech
|-
| Jamie Summers
| Queen's University
|}



{{#set:
Owner=Hilary|
Progress=50|
StartDate=2015-01-11|
TargetDate=2015-01-16|
Type=Low}}

Workshop 1 Lake Sunapee

2015-01-09T20:37:26Z

Hilary:

[[Category:Task]]

===Dates===
Jan 11-16, 2015

===Logistics===
Accommodations: Participants will be staying at [http://www.dextersnh.com/ Dexter's Inn].
Workshop: We will be spending days at the Lake Sunapee Protective Association office (63 Main St., Sunapee, NH).

===Agenda===
The agenda for the week:

{| class="wikitable"
|
| align="center" style="background:#f0f0f0;"|'''SUNDAY'''
| align="center" style="background:#f0f0f0;"|'''MONDAY'''
| align="center" style="background:#f0f0f0;"|'''TUESDAY'''
| align="center" style="background:#f0f0f0;"|'''WEDNESDAY'''
| align="center" style="background:#f0f0f0;"|'''THURSDAY'''
| align="center" style="background:#f0f0f0;"|'''FRIDAY'''
|-
| 7:30||||Breakfast at Dexter's||Breakfast at Dexter's||Breakfast at Dexter's||Breakfast at Dexter's||Breakfast at Dexter's
|-
| 8:00||||||||||||
|-
| 8:30||Travel||Travel to LSPA||Travel to LSPA||Free Time||Travel to LSPA||Travel
|-
| 9:00||||Intro to GLEON and fellowship||Introduction to LTER Datasets||||Working Group Time||
|-
| 9:30||||||Explore datasets||||||
|-
| 10:00||||Overview of 1st cohort, agenda and goals||||||||
|-
| 10:30||||||||Travel to LSPA||||
|-
| 11:00||||Fellows introductions||Data vs. Process models||Building datasets||||
|-
| 11:30||||||||||||
|-
| 12:00||||Lunch at LSPA and free time (optional hike)||Lunch at LSPA and free time (optional hike)||Lunch at LSPA and free time (optional hike)||Lunch at LSPA and free time (optional hike)||
|-
| 12:30||||||||||||
|-
| 13:00||||||||||||
|-
| 13:30||||Team Science||How to build a model ||Working Group Time (end with brief report back)||Facilitation skills ||
|-
| 14:00||||Skills sharing, group coding, aft. break||||||||
|-
| 14:30||||||||||||
|-
| 15:00||||||Split into working groups||||Group Report Backs||
|-
| 15:30||||||||||||
|-
| 16:00||Free time||||||||Planning for next workshop||
|-
| 16:30||||Collaboration Tools (Github, Wiki, Dropbox) ||||||||
|-
| 17:00||||||Citizen Science||Working with Lake Associations||Travel to LSPA||
|-
| 17:30||||Travel to LSPA||||||Whole-group debrief||
|-
| 18:00||||Free time||Dinner with LSPA||Travel to LSPA||||
|-
| 18:30||Dinner at Dexter's ||Dinner at Dexter's ||||Dinner at Dexter's ||Dinner at Dexter's ||
|-
| 19:00||||||||||||
|-
| 19:30||||||||||||
|-
| 20:00||Informal Social||Wiki training, leadership debrief / social time||Travel to LSPA||Student social, leadership debrief||Informal Social||
|-
|}



{{#set:
Owner=Hilary|
Participants=Kait_Farrell|
Participants=Derek_Roberts|
StartDate=2015-01-11|
SubTask=Participants|
SubTask=Skills_Sharing_Activity|
TargetDate=2015-02-01|
Type=High}}

Main Page

2015-01-08T20:48:07Z

Hilary:

=GLEON Fellowship Program=

The internal data science portal for the GLEON fellowship program.

Here, you will find information on the working groups, and past/future workshops.

[[File:Jan2015.jpg|400px|left|border|Jan 2015 Workshop, Lake Sunapee, NH]]