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03:10 Mapping the US Agrifood System at the… Mapping the US Agrifood System at the County-Level, Peter Nixon, Postdoc (3967278)	Mapping the US Agrifood System at the County-Level, Peter Nixon, Postdoc (3967278) With the goal of informing local food-action planning, we developed the first county-level database detailing agrifood consumption and production across 3,114 counties in the United States. The… animal demand impacts agrifood paper food capita level feed dairy kilograms amount production intake plenty bottom perspective agriculture analysis baseline From Research Princeton Research Day 0 likes 18 plays Date April 27th, 2022 Speaker Peter Nixon Department Civil and Environmental Engineering
40:15 Data Wrangling: How to Keep Your Data Workflows… Data Wrangling: How to Keep Your Data Workflows Orderly and Efficient	Data Wrangling: How to Keep Your Data Workflows Orderly and Efficient This webinar will provide several practical considerations to help you better manage your research data between the points of collection and analysis. We will review the principles of open research… analysis approach files problem documentation records things solutions process cases point language lots structure lot decisions numbers plenty ways advice From PU Princeton University Library 0 likes 24 plays Date December 1st, 2020 Department Princeton Research Data Service

03:10

Mapping the US Agrifood System at the…

Mapping the US Agrifood System at the County-Level, Peter Nixon, Postdoc (3967278)

With the goal of informing local food-action planning, we developed the first county-level database detailing agrifood consumption and production across 3,114 counties in the United States. The…

From Research Princeton Research Day 0 likes 18 plays

Date

April 27th, 2022

Speaker

Peter Nixon

Department

Civil and Environmental Engineering

40:15

Data Wrangling: How to Keep Your Data Workflows…

Data Wrangling: How to Keep Your Data Workflows Orderly and Efficient

This webinar will provide several practical considerations to help you better manage your research data between the points of collection and analysis. We will review the principles of open research…