ARS-Media

Metadata Updated: November 10, 2020

Understanding the ion-specific effects of the mineral elements is a central theme of biology because these ions are fundamental to the composition and maintenance of life. However, experiments concerned with determining ion-specific effects are generally performed with salt, as opposed to ion, manipulations. This means that researchers have had to accept a co-variance in the co-ion of the salt used to manipulate the ion of interest. The result is that the effect of a single ion cannot be determined as it is confounded with the potential combined effects of the other ions that are co-varied. Because of this difficulty, the majority of research studies concerned with determining ion-specific effects exhibit ion confounding. The software application ARS-Media utilizes a linear programming optimization algorithm to determine the combination of salts, acids, and bases that satisfies any given target solution of ions. ARS-Media therefore allows researchers to construct experimental designs that use ions, as opposed to salts, as individual factors and, hence, experimentally determine ion-specific effects on biological responses relating to ion type, concentration, and proportion. ARS-Media for Excel is an ion solution calculator that uses Excel's linear programming optimization add-in Solver. ARS-Media utilizes Excel’s internal linear programming optimization algorithm to determine the combination of salts, acids, and bases that satisfy any given target solution of ions. The spreadsheet is designed for the formulation of nutrient media used in such applications as plant tissue culture, hydroponics, algal culture, fertilizer formulations, microbial culture, and any application that requires the definition of a specific culture media by its ion composition. The spreadsheet is formula-based and uses no macros that can sometimes conflict with institutional IT security systems.

Access & Use Information

Public: This dataset is intended for public access and use. License: Creative Commons CCZero

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Dates

Metadata Created Date November 10, 2020
Metadata Updated Date November 10, 2020

Metadata Source

Harvested from USDA JSON

Additional Metadata

Resource Type Dataset
Metadata Created Date November 10, 2020
Metadata Updated Date November 10, 2020
Publisher Agricultural Research Service
Unique Identifier Unknown
Maintainer
Identifier 5f499448-d73c-4d98-8542-8f3ec45f5f3e
Data Last Modified 2019-08-05
Public Access Level public
Bureau Code 005:18
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
License https://creativecommons.org/publicdomain/zero/1.0/
Program Code 005:040
Source Datajson Identifier True
Source Hash a7e5001e5e67d04dbaa90b3c0f248a64870ef243
Source Schema Version 1.1

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