Datasets

subject: Nitrogen type: dataset

Total is 7 Results
PRICLE seedling size and resource availability data 2014

10.4231/R7N29TZ4

Jeffrey S Dukes ORCID logo , Michael Schuster

03/23/2017

These data on seedling size, soil nutrient and water availability, and leaf area index are analyzed by Schuster and Dukes in "Rainfall variability counteracts N addition by promoting invasive Lonicera maackii and extending phenology in...

Amur honeysuckle Climate Change Forestry and Natural Resources grassland growth Nitrogen phenology Pin oak Precipitation

Soil responses to manipulated precipitation changes: A synthesis of meta-analyses

10.4231/16NT-CW47

Akane O. Abbasi ORCID logo , Alejandro Salazar , Irfan Rashid , Jeffrey S. Dukes ORCID logo , Jianghanyang Li , Maria del Rosario Uribe , Sabine Reinsch , Youmi Oh ORCID logo

02/10/2020

We collected 16 meta-analyses published prior to April 2019 that examined soil responses to manipulated precipitation changes. This is the data of these meta-analyses, including effect sizes, confidence intervals, and sample sizes of 42 soil...

Carbon Cycle Climate Change Forestry and Natural Resources Meta-analysis Nitrogen Phosphorus Cycle Precipitation Change Soil Ecology Soil Emissions

A global dataset of agricultural experiments quantifying organic amendment impact on soil carbon

10.4231/ABA8-6762

Courtland Kelly ORCID logo , Erika J. Foster ORCID logo , Timothy Filley

06/08/2020

This database represents 62 field experiments that assess the impact of organic amendments on soil carbon fractions. The data include a set of moderators, such as climate, edaphic factors, and farm mangement details, and the soil C response...

Agriculture Carbon Conventional Farming Crop yield EAPS Nitrogen Organic Farming soil Soil Texture

Quantifying physiological trait variation with automated hyperspectral imaging in rice

10.4231/SY0A-W347

Augusto Souza , Carmela R. Guadagno , Chris Hoagland , Diane Ran Wang ORCID logo , Rachel Katrina Imel , To-Chia Ting ORCID logo , Yang Yang

12/08/2022

To predict rice physiological traits from automated hyperspectral data, 14 physiological traits were collected when the rice plants were six to 13 weeks old. Concurrently, side-view hyperspectral imaging events took place two to three times per week.

Agronomy Genetic Diversity growth traits Hyperspectral imaging Nitrogen Oryza sativa

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