usaid-gov/using-leaflevel-hyperspectral-reflectance-data-to-irku-yfu9

Name: Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Low Nitrogen Environment ...
Creator: usaid-gov
Published: 2018-11-12T07:12:32

Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Low Nitrogen Environment ...

Updated almost 3 years ago

Indexed 6 hours ago

Source

USAID Data Services - Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Low Nitrogen Environment in Agua Fria: Section 4

License

Creative Commons Attribution | NoDerivatives 4.0 International License

Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Low Nitrogen Environment in Agua Fria: Section 4

In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the fourth spreadsheet of six in the Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Low Nitrogen Environment in Agua Fria.

Columns

Name	Socrata field name	Column name in `sgr mount`	Data type
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732.45	_732_45	_732_45	Number
788.21	_788_21	_788_21	Number
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project	project	project	Text
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743.52	_743_52	_743_52	Number
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755.53	_755_53	_755_53	Number
767.48	_767_48	_767_48	Number
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819.06	_819_06	_819_06	Number
739.16	_739_16	_739_16	Number
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794.42	_794_42	_794_42	Number
759.19	_759_19	_759_19	Number
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802.24	_802_24	_802_24	Number
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809.05	_809_05	_809_05	Number
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756.53	_756_53	_756_53	Number
774.08	_774_08	_774_08	Number
789.19	_789_19	_789_19	Number
811.31	_811_31	_811_31	Number
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833.82	_833_82	_833_82	Number
809.7	_809_7	_809_7	Number
731.44	_731_44	_731_44	Number
799.31	_799_31	_799_31	Number
757.86	_757_86	_757_86	Number
837.01	_837_01	_837_01	Number
823.24	_823_24	_823_24	Number
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805.81	_805_81	_805_81	Number
807.11	_807_11	_807_11	Number
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836.69	_836_69	_836_69	Number
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821.64	_821_64	_821_64	Number
829.02	_829_02	_829_02	Number
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793.77	_793_77	_793_77	Number
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737.15	_737_15	_737_15	Number
825.81	_825_81	_825_81	Number
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770.12	_770_12	_770_12	Number
763.5	_763_5	_763_5	Number
806.13	_806_13	_806_13	Number
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756.86	_756_86	_756_86	Number
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825.17	_825_17	_825_17	Number
812.93	_812_93	_812_93	Number
732.78	_732_78	_732_78	Number
831.26	_831_26	_831_26	Number
752.87	_752_87	_752_87	Number
747.53	_747_53	_747_53	Number
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833.5	_833_5	_833_5	Number
817.45	_817_45	_817_45	Number
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791.48	_791_48	_791_48	Number
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835.41	_835_41	_835_41	Number
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768.47	_768_47	_768_47	Number
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820.99	_820_99	_820_99	Number
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729.08	_729_08	_729_08	Number
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754.2	_754_2	_754_2	Number
759.85	_759_85	_759_85	Number
832.86	_832_86	_832_86	Number
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785.92	_785_92	_785_92	Number
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822.28	_822_28	_822_28	Number
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837.96	_837_96	_837_96	Number
821.31	_821_31	_821_31	Number
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812.28	_812_28	_812_28	Number
730.76	_730_76	_730_76	Number
776.39	_776_39	_776_39	Number
735.13	_735_13	_735_13	Number
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818.74	_818_74	_818_74	Number
815.51	_815_51	_815_51	Number
738.49	_738_49	_738_49	Number
834.13	_834_13	_834_13	Number
780.67	_780_67	_780_67	Number
820.35	_820_35	_820_35	Number
748.2	_748_2	_748_2	Number
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752.2	_752_2	_752_2	Number
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794.09	_794_09	_794_09	Number
753.87	_753_87	_753_87	Number
802.89	_802_89	_802_89	Number
808.08	_808_08	_808_08	Number
770.78	_770_78	_770_78	Number
814.55	_814_55	_814_55	Number
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750.2	_750_2	_750_2	Number
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751.54	_751_54	_751_54	Number
757.53	_757_53	_757_53	Number
780.34	_780_34	_780_34	Number
803.86	_803_86	_803_86	Number
791.15	_791_15	_791_15	Number
782.31	_782_31	_782_31	Number
797.68	_797_68	_797_68	Number
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796.05	_796_05	_796_05	Number
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795.4	_795_4	_795_4	Number
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734.13	_734_13	_734_13	Number
818.42	_818_42	_818_42	Number
745.53	_745_53	_745_53	Number
830.3	_830_3	_830_3	Number
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814.22	_814_22	_814_22	Number
796.38	_796_38	_796_38	Number
830.62	_830_62	_830_62	Number
781.65	_781_65	_781_65	Number
780.01	_780_01	_780_01	Number
727.39	_727_39	_727_39	Number
772.43	_772_43	_772_43	Number
829.98	_829_98	_829_98	Number
741.17	_741_17	_741_17	Number
728.74	_728_74	_728_74	Number
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776.06	_776_06	_776_06	Number
826.45	_826_45	_826_45	Number

Upstream Metadata

Common Core

Language

en-US

publisher

USAID

Bureau Code

184:15

Last Update

2017-07-15

Program Code

184:029

Access Level Comment

Under the terms of an agreement with USAID, a partner owns data it collects. Under the authority of the license partners grant to USAID, USAID posts the data with a CC-BY license providing attribution to the partner.

Embargo Request

Embargo Requested?

Research Fields

Informed consent obtained?

Not specified

Is this Federally funded research?

yes

Does this dataset contain information on human subjects?

Data Asset Profile

Countries

Mexico

Is Certified

true

Is Classified

USAID Initiative

Feed the Future

Gender Disaggregation

Not specified

Program Cycle Component

Not specified

Individual Dataset Author

US Borlaug Fellows in Global Food Security

Sustainable Development Goal

Not specified

Submission Profile

Award Number

BFS-G-11-00002

COR/AOR Name

Clara Cohen

COR/AOR Email

ccohen@usaid.gov

Submitter Work Email

jonluetchens@gmail.com

Award Completion Date

Not specified

Operating Unit of Origin

Bureau for Food Security

USAID Alternate Contact Name

Karen Duca

USAID Alternate Contact Email

kduca@usaid.gov

Submitting Organization DUNS Number

Not specified

Proposed Access Level

Public

usaid-gov/using-leaflevel-hyperspectral-reflectance-data-to-irku-yfu9

Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Low Nitrogen Environment in Agua Fria: Section 4

Columns

Upstream Metadata

Common Core

Embargo Request

Research Fields

Data Asset Profile

Submission Profile

Proposed Access Level

Product

Support

Company

Community

Legal

Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Low Nitrogen Environment in Agua Fria: Section 4

Columns

Upstream Metadata

Common Core

Embargo Request

Research Fields

Data Asset Profile

Submission Profile

Proposed Access Level

Product

Support

Company

Community

Legal

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