What if your ecological hacking could focus on the fun stuff like developing new algorithms or UIs, and you didn’t have to worry about things like authentication, data storage, permissions, and access to high-performance computing? iPlant cyberinfrastructure and APIs can help you there! Maybe you’ve never hacked, but you are code curious? Maybe you just need an efficient way to get work done? iPlant offers preinstalled software, GUIs, and cloud-compute gateway services you can start using today. Once you’re hooked, we provide the tools and services to take your skills to the next level. Want to know more? Visit iplantcollaborative.org.
4. Cyberinfrastructure is:
• data storage
• software
• hardware
• high-performance
computing
• people
…used to solve problems of size
and scope that would not otherwise
be solvable.
8. 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
9. iPlant Tools and Services
- a whirlwind tour
image credit: http://mdtartist83.deviantart.com/art/Whirlwind-437859773
10. iPlant infrastructure supports the
entire lifecycle of data
Store
Markup Search
Transfer
AnalyzeVisualize
CollaborateShare
Pre- Publication
Post- Publication
11. Data Store: storage, sharing,
publication
100 GB free allocation
Fast data transfers
Multiple access modes
Fine-grained permissions
Cyberduck
18. 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
19. iPlant for developers:
iPlant Community Collaborations – use
iPlant to host data and analyses for your
research community
20. 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
Editor's Notes
Big data in Ecology
environmental data layers
Think NEON or LTERs or even a single scientists project with sensors in the field.
Now you can use Docker to install tools – making it easier for anyone to integrate an algorithm