SRM 3264 St. John's Wort (Hypericum perforatum L.) Methanol Extract - This Standard Reference Material (SRM) is intended primarily for use in validating analytical methods for the determination of chlorogenic acid, flavonoids, naphthodianthrones, and toxic elements in methanol extracts of Hypericum perforatum L. and similar materials. This data is public in the Certificate of Analysis for this material.

SRM 3281 Cranberry (Fruit) - This Standard Reference Material (SRM) is intended primarily for use in validating analytical methods for the determination of organic acids in the fruit of cranberries and similar matrices. This SRM can also be used for quality assurance when assigning values to in-house control materials. This data is public in the Certificate of Analysis for this material.

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.

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.

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.

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.

This Standard Reference Material (SRM) is intended for use as an analytical standard of known potassium (K) and chloride (Cl-) content. This lot of potassium chloride (KCl) was prepared to ensure a material of high purity and homogeneity and has been assayed after drying at 500 °C. A unit of SRM 999c consists of a single glass bottle containing 30 g of the material. This data is public in the Certificate of Analysis for this material.

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.

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.

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.