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43 results found

SRM 3282 Low-Calorie Cranberry Juice Cocktail

Data provided by  National Institute of Standards and Technology

SRM 3282 Low-Calorie Cranberry Juice Cocktail. This Standard Reference Material (SRM) is intended primarily for use in validating analytical methods for the determination of organic acids and nutrient elements in cranberry juice cocktails and similar matrices. This SRM can also be used for quality assurance when assigning values to in-house control materials. A unit of SRM 3282 consists of five ampoules, each containing approximately 1.2 mL of material. This data is public in the Certificate of Analysis for this material.

Tags: Standard Reference materials,SRM,SRM 3282,cranberry juice,juice,food,nutrition,anthocyanin,certified value,reference value,Food and Nutrition,

Modified: 2024-02-22

Views: 0

SRM 3287 Blueberry (Fruit)

Data provided by  National Institute of Standards and Technology

SRM 3287 Blueberry (Fruit). This Standard Reference Material (SRM) is intended primarily for use in validating analytical methods for the determination of organic acids and nutrients in blueberries and similar materials. This SRM can also be used for quality assurance when assigning values to in-house control materials. A unit of SRM 3287 consists of five packets, each containing approximately 5 g of freeze-dried, powdered fruit. This data is public in the Certificate of Analysis for this material.

Tags: Standard Reference materials,SRM,SRM 3287,blueberry,food,nutrition,dietary supplement,anthocyanin,certified value,reference value,Food and Nutrition,

Modified: 2024-02-22

Views: 0

SRM 3290 Dry Cat Food

Data provided by  National Institute of Standards and Technology

SRM 3290 Dry Cat Food - This Standard Reference Material (SRM) is intended primarily for use in validating methods for determining proximates, fatty acids, vitamins, elements, and amino acids in dry cat food and similar matrices. This SRM can also be used for quality assurance when assigning values to in-house control materials. This SRM is a blend of commercially available dry cat foods. A unit of SRM 3290 consists of five heat-sealed, aluminized pouches, each containing approximately 10 g of material. This data is public in the Certificate of Analysis for this material.

Tags: Standard Reference Material,SRM,SRM 3290,dry cat food,certified values,reference values,food,nutrition,Food and Nutrition,

Modified: 2024-02-22

Views: 0

SRM 3532 Calcium-Containing Solid Oral Dosage Form

Data provided by  National Institute of Standards and Technology

SRM 3532 Calcium-Containing Solid Oral Dosage Form - This Standard Reference Material (SRM) is intended primarily for validation of methods for determining cholecalciferol (vitamin D3) and elements in a calcium dietary supplement and similar materials. This SRM can also be used for quality assurance when assigning values to in-house reference materials. A unit of SRM 3532 consists of five packets, each containing approximately 10 g of material. This data is public in the Certificate of Analysis for this material.

Tags: Standard Reference materials,SRM,SRM 3532,calcium supplement,food,nutrition,dietary supplements,certified value,reference value,Food and Nutrition,

Modified: 2024-02-22

Views: 0

Certified values of iodine in CRMs of food matrices in mg/kg units. The uncertainties are expanded uncertainties at approximately 95% confidence.

Data provided by  National Institute of Standards and Technology

A comparison of the expanded uncertainty for certified values of iodine in food matrix CRMs. The CRMS were found by searching The European Virtual Institute for Speciation Analysis (EVISA) database using the terms "Iodine" and "Certified" in the Material category. The uncertainties are expanded uncertainties at approximately 95% confidence.

Tags: food,nutrition,dietary supplements,Standard Reference materials,reference materials,SRM,RM,Food and Nutrition,

Modified: 2024-02-22

Views: 0

QFlow 2.0: Quantum dot data for machine learning

Data provided by  National Institute of Standards and Technology

Using a modified Thomas-Fermi approximation, we model a reference semiconductor system comprising a quasi-1D nanowire with a series of five depletion gates whose voltages determine the number of quantum dots (QDs), the charges on each of the QDs, as well as the conductance through the wire. The original dataset, QFlow lite, consists of 1 001 idealized simulated measurements with gate configurations sampling over different realizations of the same type of device.

Tags: machine learning,quantum dots,simulated data,

Modified: 2024-02-22

Views: 0

Nestor: a toolkit for quantifying tacit maintenance knowledge, for investigatory analysis in smart manufacturing

Data provided by  National Institute of Standards and Technology

There is often a large amount of maintenance data already available for use in Smart Manufacturing systems, but in a currently-unusable form: service tickets and maintenance work orders (MWOs). Nestor is a toolkit for using Natural Language Processing (NLP) with efficient user-interaction to perform structured data extraction with minimal annotation time-cost.

Tags: information,communication,maintenance,tribal knowledge,event sequences,training,machine learning,data cleaning,prognostics,diagnostics,visualization,decision guidance,CMMS,scheduling,investigations,nestor,smart manufacturing,manufacturing operations,manufacturing performance,

Modified: 2024-02-22

Views: 0

REMI: Resource for Materials Informatics

Data provided by  National Institute of Standards and Technology

The REsource for Materials Informatics (REMI) will host a diverse collection of scripting notebooks (Jupyter, Matlab LiveScripts, etc.) for collecting, pre-processing, analyzing, and visualizing materials data. Notebooks are curated using tags aligned to Materials Science and Data Science topics. REMI emerged from the realization that both experts and novices wanted examples of using machine learning for science. Meanwhile, lots of experts are developing digital notebooks (e.g. Jupyter) to demonstrate step-by-step data collection, pre-processing, analysis and visualization.

Tags: machine learning,data analysis,data processing,materials science,materials genome initiative,

Modified: 2024-02-22

Views: 0

Dark solitons in BECs dataset 2.0

Data provided by  National Institute of Standards and Technology

Atomic Bose-Einstein condensates (BECs) are widely investigated systems that exhibit quantum phenomena on a macroscopic scale. For example, they can be manipulated to contain solitonic excitations including conventional solitons, vortices, and many more. Broadly speaking, solitonic excitations are solitary waves that retain their size and shape and often propagate at a constant speed. They are present in many systems, at scales ranging from microscopic, to terrestrial and even astronomical.

Tags: machine learning,Bose-Einstein condensates,dark solitons,

Modified: 2024-02-22

Views: 0

SRM 1546a Meat Homogenate

Data provided by  National Institute of Standards and Technology

SRM 1546a Meat Homogenate - This Standard Reference Material (SRM) is intended primarily for validation of methods for determining fatty acids, cholesterol, proximates, calories, elements, vitamins, and amino acids in canned meat products and similar materials. This SRM can also be used for quality assurance when assigning values to in-house reference materials. The meat homogenate is a mixture of pork and chicken products blended together in a commercial process. A unit of SRM 1546a consists of four cans, each containing approximately 85 g of material.

Tags: Standard Reference materials,SRM,SRM 1546a,Meat Homogenate,food,nutrition,certified value,reference value,Food and Nutrition,

Modified: 2024-02-22

Views: 0