This is a list of the Edward Uhler Condon award recipients and links to their publications, where available, from 1974 to the present.

This spreadsheet and accompanying files are the result of work performed for U.S. Army Ground Vehicle Systems Center by the National Institute of Standards and Technology (NIST), Applied Chemicals and Materials Division on the development of a computer program for fire-suppressant bottle-filling calculations under interagency agreement number 11478007.

A software package for computing the elastic registration of two simple curves in d-dimensional space, d a positive integer, and therefore the elastic shape distance between them. The implementation of the package is in Matlab with the exception of the Dynamic Programming routine which is written in Fortran but is executed as a Matlab mex file. The Dataset includes all the routines in the package and some input data files.

WARNING: There is a more recent version of this data set. Please visit https://doi.org/10.18434/mds2-3012 for the update. Do not use this data. Contact [email protected] with questions.Hourly observations of CO2 and CH4 from tower-based sites in the NIST Northeast Corridor network (currently 23, but more may be added in future updates); 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.

These datasets are the high-resolution data collected at the APS 11-BM synchrotron beamline, and used to certify the microstructural characteristics of the two components (15 nm and 60 nm nominal microscrystallites) of SRM 1979. They are presented as CIF files containing the data as collected and processed by the 11BM software to make uniformly-spaced angle step data files.

The data from this instrument consists of sets of measurements of Xray intensity as a function of diffraction angle. Almost all of it is collected using scintillator point detector with a graphite analyzer, and is stored in CIF format.

Round 3 Training DatasetThe data being generated and disseminated is the training data used to construct trojan detection software solutions. This data, generated at NIST, consists of human level AIs trained to perform image classification. A known percentage of these trained AI models have been poisoned with a known trigger which induces incorrect behavior. This data will be used to develop software solutions for detecting which trained AI models have been poisoned via embedded triggers.

Round 2 Test DatasetThe data being generated and disseminated is the test data used to evaluate trojan detection software solutions. This data, generated at NIST, consists of human level AIs trained to perform a variety of tasks (image classification, natural language processing, etc.). A known percentage of these trained AI models have been poisoned with a known trigger which induces incorrect behavior. This data will be used to develop software solutions for detecting which trained AI models have been poisoned via embedded triggers.

Round 2 Holdout DatasetThe data being generated and disseminated is the holdout data used to evaluate trojan detection software solutions. This data, generated at NIST, consists of human level AIs trained to perform a variety of tasks (image classification, natural language processing, etc.). A known percentage of these trained AI models have been poisoned with a known trigger which induces incorrect behavior. This data will be used to develop software solutions for detecting which trained AI models have been poisoned via embedded triggers.

The NIST DART-MS Forensics Database is an evaluated collection of in-source collisionally-induced dissociation (is-CID) mass spectra of compounds of interest to the forensics community (e.g. seized drugs, cutting agents, etc.). The is-CID mass spectra were collected using Direct Analysis in Real-Time (DART) Mass Spectrometry (MS), either by NIST scientists or by contributing agencies noted per compound. The database is provided as a general-purpose structure data file (.SDF).