NOTE: please see the latest (March 2025) update at https://doi.org/10.18434/mds2-3765 . This archive is from November 2021.We have become aware of errors in the inlet heights at multiple sites and have corrected these in the newest version. Hourly observations of CO2 and CH4 from tower-based sites in the NIST Northeast Corridor network; CO observations from one site. Data files are comma delimited (CSV). Measurements of each species may be from two or more different heights above ground.

This is a repository for using semi-supervised learning to classify diffraction patterns

The Nuclear Magnetic Resonance Spectral Measurement Database (NMR-SMDB) was developed for the purpose of organizing and searching NMR spectral data of protein therapeutics, linking spectra to corresponding sample information and enabling quick access to full datasets and entire studies. In addition to supporting internal NIST research, the system could facilitate data access to stakeholders outside of NIST, and future versions of the database software itself could be installed by others for their own data storage and retrieval.

These data and the coarse-grain force-field parameters were used to produce publication (1) "Structure-dilute property relationships of comb-like macromolecules in a good solvent" by Robert J. S. Ivancic (OrcID: https://orcid.org/0000-0001-9969-2534, National Institute of Standards and Technology, Material Measurement Laboratory, Division 642, Group 1), Sara V.

These LC-MS and LC-MS/MS raw data were collected for purposes of an interlaboratory study evaluating the multi-attribute method (MAM). Tryptic digests of native NISTmAb (the "Reference" and the "Unknown" samples), degraded NISTmAb (the "pH Stress" sample) and NISTmAb spiked with 15 heavy-labeled synthetic peptides (the "Spike" sample) were sent to each participating laboratory. One injection of each digest was acquired in MS-only mode, while a second injection was acquired in MS/MS mode.

Monthly Population Estimates by Universe, Age, Sex, Race, and Hispanic Origin for the United States // Source: U.S. Census Bureau, Population Division // Universes include the resident population, resident population plus Armed Forces overseas, civilian population, civilian noninstitutionalized population, and household population. The estimates are developed from an April 1, 2020 base population and may incorporate changes resulting from the Count Question Resolution program and/or geographic program revisions. 'In combination' means in combination with one or more other races.

Annual Population Estimates for the United States, States, Metropolitan Statistical Areas, Micropolitan Statistical Areas, Counties, Incorporated Places, and Minor Civil Divisions; and for Puerto Rico and Its Municipios // Source: U.S. Census Bureau, Population Division // The contents of this file are released on a rolling basis from December through May. // The estimates are developed from an April 1, 2020 base population and may incorporate changes resulting from the Count Question Resolution program and/or geographic program revisions.

Project documentation and demonstrations processing OSCAL (the Open Security Controls Assessment Language).

The files in this repository can be used to generate the complete set of figures in the paper "An algorithm to identify vapor-liquid-liquid equilibria from vapor-liquid equilibria". The zip file, when expanded, includes a conda environment to populate the dependencies, and a set of python scripts. Running make_figures.py will regenerate all the figures, demonstrating how to use the algorithm.

These four data files contain datasets from an interlaboratory comparison that characterized a polydisperse five-population bead dispersion in water. A more detailed version of this description is available in the ReadMe file (PdP-ILC_datasets_ReadMe_v1.txt), which also includes definitions of abbreviations used in the data files. Paired samples were evaluated, so the datasets are organized as pairs associated with a randomly assigned laboratory number.