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iPlant Cyberinfastructure
It’s not just for plants!
http://www.ssec.si.edu/blog/phylogenetic_trees#.VciwmUU7Rek
Cyberinfrastructure is:
• data storage
• software
• hardware
• high-performance
computing
• people
Cyberinfrastructure is:
• data storage
• software
• hardware
• high-performance
computing
• people
…used to solve problems of size
and scope that would not otherwise
be solvable.
Big Data/
Big
Analyses
Volume Variety
Velocity
Volume
http://landsat.gsfc.nasa.gov/?page_id=2281
Velocity
http://www.environment.ucla.edu/reportcard/article1506.html
Variety
D.subtomentosa
D.convolvulacea
D.sp3
D.guererensis
D.sp6
D.morelosana
D.matagalpensis
D.multinervis
D.urceolata
D.sumiderensis
D.igualamontana
D.composita
D.gomez-pompei
D.floribunda
D.mexicana
D.spiculiflora
D.remotiflora
D.pumiciola
D.sp1
D.bartlettii
Character: MAT
Parsimony
reconstruction (Squared)
[Squared length:
648725.45440009]
160.97 to 169.838
169.838 to 178.706
178.706 to 187.574
187.574 to 196.442
196.442 to 205.31
205.31 to 214.178
214.178 to 223.046
223.046 to 231.914
231.914 to 240.782
240.782 to 249.65
249.65 to 258.5180
Character: log lamina
area
Parsimony
reconstruction (Squared)
[Squared length:
75.02506031]
0.9937 to 1.09946
1.09946 to 1.20522
1.20522 to 1.31098
1.31098 to 1.41674
1.41674 to 1.5225
1.5225 to 1.62826
1.62826 to 1.734020
1.734020 to 1.83978
1.83978 to 1.94554
1.94554 to 2.0513
2.0513 to 2.15706
A.
Lamina area, greenhouse (cm
2
)
0 20 40 60 80 100 120 140 160
mc(dleif,aeraanimaL
2
)
0
20
40
60
80
100
120
r
2
=0.60
P<0.001
B.
LMA, greenhouse (g m
-2
)
20 25 30 35 40 45 50 55
mg(dleif,AML
2-
)
10
20
30
40
50
60
r
2
=0.24
P=0.03
C.
Length:width, greenhouse
0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2
dleif,htdiw:htgneL
0.8
1.0
1.2
1.4
1.6
1.8
2.0
r
2
=0.65
P<0.001
D.
Stomatal density, greenhouse (mm-2
)
50 100 150 200 250 300 350 400
mm(dleif,ytisnedlatamotS
2-
)
50
100
150
200
250
300
A.
Lamina area, greenhouse (cm
2
)
B.
LMA, greenhouse (g m
-2
)
0
20
40
60
80
100
120
10
20
30
40
50
60
r
2
=0.05
P=0.33
E.
Guard cell length, greenhouse (mm)
0.018 0.020 0.022 0.024 0.026 0.028 0.030 0.032
)mm(dleif,htgnelllecdrauG
0.020
0.022
0.024
0.026
0.028
0.030
0.032
0.034
0.036
0.038
r
2
=0.54
P<0.001
0 20 40 60 80 100 120 140 160
mc(dleif,aeraanimaL
2
)
r
2
=0.60
P<0.001
r
2
=0.24
P=0.03
mg(dleif,AML
2-
)
20 25 30 35 40 45 50 55
C.
Length:width, greenhouse
0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2
dleif,htdiw:htgneL
0.8
1.0
1.2
1.4
1.6
1.8
2.0
r
2
=0.65
P<0.001
D.
Stomatal density, greenhouse (mm-2
)
50
100
150
200
250
300
50 100 150 200 250 300 350 400
mm(dleif,ytisnedlatamotS
2-
)
E.
Guard cell length, greenhouse (mm)
0.018 0.020 0.022 0.024 0.026 0.028 0.030 0.032
)mm(dleif,htgnelllecdrauG
0.020
0.022
0.024
0.026
0.028
0.030
0.032
0.034
0.036
0.038
r
2
=0.54
P<0.001
r
2
=0.05
P=0.33
iPlant Tools and Services
- a whirlwind tour
image credit: http://mdtartist83.deviantart.com/art/Whirlwind-437859773
iPlant infrastructure supports the
entire lifecycle of data
Store
Markup Search
Transfer
AnalyzeVisualize
CollaborateShare
Pre- Publication
Post- Publication
Data Store: storage, sharing,
publication
 100 GB free allocation
 Fast data transfers
 Multiple access modes
 Fine-grained permissions
Cyberduck
Atmosphere: Free and easy
cloud computing
Discovery Environment: Web
interface for high-performance
computing
Bisque: Image management
and analysis platform
Agave API: Science as a
Service platform
http://preview.agaveapi.co/tools/client-sdk/
iPlant Data Commons
• Public data access
• DOIs & ARKS
• Metadata templates
iPlant for developers:
 Extended Collaborative Support (ECS) –
Take advantage of iPlant’s existing components
to build and share a new workflow.
 Powered by iPlant – develop your own front
end, use our authentication, storage, and
permission services and APIs
iPlant for developers:
 iPlant Community Collaborations – use
iPlant to host data and analyses for your
research community
Want more information?
OOS 79: Beyond the Spreadsheet: Data
Integration and Informatics for the Next Century
of Ecology
 Thursday, August 13
 1:30-5:30 PM
 Room 337
 iPlant talk: iPlant cyberinfrastructure for
sharing, discovering, and analyzing
ecological data
iplantcollaborative.org

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Walls ESA ignite2015

Editor's Notes

  1. Big data in Ecology
  2. environmental data layers
  3. Think NEON or LTERs or even a single scientists project with sensors in the field.
  4. Now you can use Docker to install tools – making it easier for anyone to integrate an algorithm
  5. You don’t have to include “I” in the name!