Elsevier COVID-19 Research Environment

Filter Results
123 results
  • g
    Data Types:
    • Dataset
  • NUOnet Vision: Efficient use of nutrients to optimize production and product quality of food for animals and humans, fuel and fiber in a sustainable manner that contributes to ecosystem services. Best nutrient management practices are critical for maintaining profitable economic returns, sustaining higher yields, lowering environmental impacts, optimizing nutritional quality, and providing ecosystem services. Best management practices that improve nutrient use efficiencies can reduce nutrient losses from agricultural systems. However, we need to improve our understanding of biological, physical and chemical influences on nutrient processes. For instance, crop use efficiency of nitrogen (N), the primary macronutrient regulating yield and protein content, can be reduced by processes such as denitrification (N2O and N2 emission), leaching (NH4-N, NO3-N, and organic-N), ammonia (NH3-N,) volatilization, surface runoff and erosion, disease, and non-crop competition. Similarly, we need to obtain more information about biological and physical cycles of nutrients, especially phosphorus (P), including factors that influence nutrient availability from fertilizers, crop residues, cover crops, manures, and other byproducts. We need a better understanding of relationships between soil biological communities and ecosystems, including plant roots and root exudates, and availability and uptake of macro- and micro-nutrients. In addition, we need information regarding how these practices impact yields, organoleptic qualities, and the macro- and micro-nutritional composition of plants. This information will improve our ability to develop best nutrient management practices. See the NUOnet Home Page for more information about this database and strategic goals.
    Data Types:
    • Tabular Data
    • Dataset
  • The Agricultural Collaborative Research Outcomes System (AgCROS) is a growing “network of networks” that presently consists of multiple agricultural data networks: Nutrient Uptake and Outcome Network (NUOnet), the Greenhouse gas Reduction through Agricultural Carbon Enhancement Network (GRACEnet), Resilient Economic Agricultural Practices (REAP), Dairy Agriculture for People and the Planet (DAPP; Dairy Grand Challenge), Soil Health Assessment Network (SHAnet), Agricultural Antibiotic Resistance (AgAR), and the Long-Term Agroecosystem Research (LTAR) Network. By integrating these diverse database networks, AgCROS facilitates the flow of information and increases the cooperation among researchers participating in these networks.
    Data Types:
    • Collection
  • Alopecia areata recurrence patterns in children and young adults while on systemic tofacitinib therapy
    Data Types:
    • Dataset
  • description
    Data Types:
    • Dataset
  • test dataset for workflow NP103
    Data Types:
    • Dataset
    • Document
  • Testing submission and curation process
    Data Types:
    • Tabular Data
    • Dataset
  • Data about fruit eating habits and home types. New version containing more fruit.
    Data Types:
    • Image
    • Dataset
    • Text
  • Retraction through pipeline
    Data Types:
    • Other
    • Software/Code
    • Image
    • Video
    • Tabular Data
    • Dataset
    • Document
    • Text
    • Audio
  • My data
    Data Types:
    • Other
    • Software/Code
    • Image
    • Video
    • Tabular Data
    • Dataset
    • Document
    • Text
    • Audio
1