usaid-gov/using-leaflevel-hyperspectral-reflectance-data-to-cxum-sm2x

Name: Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a High Nitrogen Environment...
Creator: usaid-gov
Published: 2018-11-12T06:54:57

Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a High 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 High Nitrogen Environment in Agua Fria: Section 1

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 High Nitrogen Environment in Agua Fria: Section 1

A set of recent CIMMYT era hybrids - spanning from the early 1990s to the late 2000s - was analyzed. These data are the results of a hyperspectral spectrometer analysis done in a high nitrogen environment in Agua Fria. 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.

Columns

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treat	treat	treat	Text
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project	project	project	Text
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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-cxum-sm2x

Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a High Nitrogen Environment in Agua Fria: Section 1

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 High Nitrogen Environment in Agua Fria: Section 1

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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