Datasets from Plant Science for Global Food Security (PSGFS), 2022, 2023 and 2024
- Campbell, Morgan1
- Epmeier, Carolyn2
- Gonzalez, Gerardo3
- Haan, Matthew4
- Hartman, Faith5
- Herzig, Quentin2
- Inaoka, Mirai2
- Jones, Micala6
- Kim, Joana3
- Lee, Miles1
- Lien, Laurian5
- Matsuyama, Jenna7
- Mauer, Reina5
- McGill, Casey5
- Moten, Tiffany8
- Ortega, Faraluz9
- Roden, Monica10
- Ruiz, Raul3
- Schmid, Joseph11
- Smith, Sia9
- Spiller, Kennedy9
- Tugade, Bryceseon12
- White, Victoria5
- Zvenigorodsky, Sasha2
- Maningas, Anilyn13
- Henry, Amelia13
- Burniske, Gary5
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Wang, Diane5
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1.
North Carolina Agricultural and Technical State University
- 2. University of Illinois
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3.
University of Hawaii System
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4.
Purdue University West Lafayette
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5.
Purdue University
- 6. Florida A &M University
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7.
University of Hawaii at Mānoa
- 8. North Carolina A & T University
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9.
Tuskegee University
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10.
Florida Agricultural and Mechanical University
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11.
University of Illinois Urbana-Champaign
- 12. University of Hawaii
- 13. IRRI
Description
The datasets (PSGFS_compiled_data_2022.xlsx, PSGFS_compiled_data_2023 and PSGFS_compiled_data_2024_v2.xlsx) were collected by undergraduate students during the time they participated in the Plant Science for Global Food Security (PSGFS) program in summers 2022, 2023 and 2024 at the International Rice Research Institute (IRRI; Los Baños, Philippines). The PSGFS program is an initiative funded by the National Science Foundation (Grant: NSF IRES #2106718) and led by Diane Wang and Gary Burniske of Purdue University and Amelia Henry and Anilyn Maningas of IRRI. Purdue University PhD student, To-Chia Ting, assisted in compiling these datasets.
The explanation of each worksheet in a excel file could be found in the associated word files (PSGFS_README_2022.doc, PSGFS_README_2023.doc and PSGFS_README_2024_v2.doc). PDF files of the presentations given by the students are also provided and compressed in the Student_presentation_2022.zip, Student_presentation_2023.zip and Student_presentation_2024_v2.zip file. File names of the presentations are composed of worksheet names and students’ last names.
Note: Dataset for enzyme activity was added in 2024 version 2.
Notes
Files
Student_presentation_2022.zip
Files
(176.0 MB)
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md5:485d4e0cc0a0da8e1149cd1e003c0d30
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md5:ebbf149586a69add9c85989dd58dcd48
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md5:10cb67f032f2794a0cf172d0c87d6663
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md5:3306317788e4739a6c801849e83ab077
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md5:cf9450a08c3e4afd8100018f4384ec2b
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md5:1cf01ebddf54809d706bbb7b1ca44fe7
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md5:9cb90b899168b1067014377d30202824
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45.5 MB | Preview Download |
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md5:335d6d39fd6364531799de7472e3fbf2
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26.2 MB | Preview Download |
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md5:2d83464e99409b58918c5e873a9189f7
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103.7 MB | Preview Download |
Additional details
Dates
- Created
-
2025-01-27