Raw data for manuscript entitled "Compatibilization of immiscible polyolefins with poly(1-butene)-g-polyethylene." Includes chemical characterization or synthesized compatibilizers (e.g. size exclusion chromatography, nuclear magnetic resonance spectroscopy) and characterization of compatibilized polyolefin blends (e.g. uniaxial tensile elongation, vibrational spectroscopy).

Software used in experiments to demonstrate the ability to validate Falcon (FN-DSA) implementations.

`{frbca}` is an R package supporting economic evaluation of functional recovery design for buildings. The goal of frbca is to conduct benefit-cost analysis (BCA) for buildings archetypes designed for functional recovery. The inputs include:

- Expected Annualized Losses (EALs) for (i) a baseline (code-conforming) design and (ii) recovery-based design interventions
- Structural and nonstructural costs for both (i) and (ii)
- A list of analysis parameters, including discount rate, time horizon, and economic analysis parameters such as business income

In this paper, we present a standardized, repeatable test approach that replicates key features of measured industrial environments in a fully-characterized hybrid test chamber. The hybrid chamber consists of an anechoic chamber along with movable metallic spheres that provide discrete reconfigurable multipath components. The chamber is characterized by a synthetic-aperture system providing a reference measurement that captures the non-idealities of the chamber along with the intended spatial multipath, completing characterization of the test environment.

Monthly zip files from November 2016 to December 2021, with each zip containing
hourly .tif files with gridded CO2 fluxes at 0.02 degree resolution in an eastern
North American domain from 33° to 47° north and 92° to 67° west.

Annual zip files from November 2016 to December 2021, with each zip containing
hourly .tif files with gridded CO2 fluxes at 0.01 degree resolution in an eastern
North American domain from 38.4° to 39.6° north and 77.8° to 76.2° west.

The chipstb repository is a Python-based automation suite designed to systematically benchmark tight-binding electronic structure models (such as DFTB, TB3PY, and SlaKoNet) against high-accuracy Density Functional Theory (DFT) and experimental reference data. Built upon the JARVIS-Tools infrastructure, the code manages the complete workflow of retrieving crystal structures, executing semi-empirical calculations, and computing statistical error metrics for key properties like bandgaps and bulk moduli.

This work presents the results of evaluating and measuring the dc leakage effects associated with Programmable Josephson Voltage Standards (PJVS). Two types of leakage error can occur in PJVS systems. The first type involves leakage currents to Earth ground, which can result from the resistance of cable insulation and the bias electronics. The second type is related to the voltage divider effect, caused by potential leakage paths on the precision output leads. Both effects can impact the measurement accuracy of the PJVS and must be monitored regularly.

The dataset contains thermocouple-based surface temperature measurements from two series of lithium-ion battery thermal-abuse experiments. The first series consists of continuous-heating tests, in which external heating was applied until ignition to quantify the time interval between the safety-valve breakage (SVB) event and subsequent ignition. The second series consists of interrupted-heating tests, where heating was deliberately stopped at different times after SVB to evaluate the safe intervention window and characterize delayed-ignition behavior.

This data publication includes the AM Bench answer key for two AMB2025-01 Challenge Problems that were posed to the AM modeling community:

Synthetic additive manufacturing (AM) lack-of-fusion (LOF) pores are generated using a three-dimensional Generative Adversarial Network (3D-GAN) framework. The LOF pores, introduced by varying laser-based powder bed fusion (L-PBF) process parameters, were extracted from segmented X-ray computed tomography (XCT) scans previously published (doi:10.18434/M32162). The extracted pores served as training data for the 3D-GAN model, which was designed to learn and generate the complex morphologies characteristic of real AM pores.