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Dataset of Additive Manufacturing Laser Powder Bed Fusion Ti-6Al-4V Subjected to Various Novel Hot Isostatic Pressing (HIP) Treatments
Data provided by National Institute of Standards and Technology
This publicly available dataset encompasses high pressure heat treatment development for laser powder bed fusion (PBF-L) Ti-6Al-4V. In order to understand microstructure as it influences processing-structure-properties-performance relationships, this dataset was acquired with the aim to isolate microstructure as a variable. To accomplish this, identical blocks of Ti-6Al-4V were additively manufactured via PBF-L and were separated into separate groups of for various heat treatments.
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Small-Signal Model Verification and Analysis of Unmatched Multi-Finger HBT Cells at 220 GHz
Data provided by National Institute of Standards and Technology
This dataset contains the simulated and calibrated measured scattering parameters (S-parameters) of a via, a short-circuit manifold test structure, a single heterojunction bipolar transistor (HBT) in common emitter (CE) configuration, and a 4-finger CE HBT cell. Six sites of the single CE HBT device were measured and five sites of the 4-finger CE HBT cell were measured. Bias point for all transistors was at V_ce: 2 V and J_c: 9.62mA/um^2.
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9,10-Dihydrophenanthrene: Experimental and Derived Thermodynamic Properties
Data provided by National Institute of Standards and Technology
This document is part of a series of reports describing experimental property measurements completed at the National Institute for Petroleum and Energy Research (NIPER) in Bartlesville, Oklahoma, in the 1980s and 1990s. Members of the Bartlesville Thermodynamics Group included William D. "Bill" Good, William V. "Bill" Steele, Bruce E. Gammon, Norris K. Smith, Stephen E. Knipmeyer, An "Andy" Nguyen, Timothy D. Klots, I. A. "Alex" Hossenlopp, Aaron P. Rau, William B. Collier, John F. Messerly, Ann G. Osborn, Susan Lee Bechtold, Donald G. Archer, Ian R.
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Radio Access Network Anomalous State Detection Dataset
Data provided by National Institute of Standards and Technology
This project [1] produced two types of data: Working Data and Derived Data. The Working Data includes raw measurements collected from a Radio Access Network (RAN) utilizing commercial-off-the-shelf (COTS) hardware. These measurements were gathered at multiple layers of the Long-Term Evolution (LTE) protocol stack within the RAN, in both a baseline state with encrypted data and an anomalous state with encryption disabled. The data is provided in comma-separated value (.csv) format.
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5G NR V2V Communications for Enhanced Collision Avoidance: The EEBL Application Case
Data provided by National Institute of Standards and Technology
The generated data is post-processed n-3 simulation results and is displayed in a graphical format (plots) in an accepted paper.
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Dual-Frequency-Bias Programmable Josephson Voltage Standard Circuit
Data provided by National Institute of Standards and Technology
This paper presents a 2 V programmable Josephson voltage standard with dual microwave frequency inputs and multiple output taps. The design provides three main features: (1) output voltages with nanovolt resolution, (2) the ability to perform a microwave frequency self-check based on a null voltage measurement, and (3) additional voltage output taps providing simultaneous 10:1 (or 5:1) divided voltage reference for resistive divider calibration. With low heat dissipation this device is well suited for implementation with a compact cryocooler as a turnkey traveling system.
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Trojan Detection Software Challenge - mitigation-image-classification-jun2024-train
Data provided by National Institute of Standards and Technology
mitigation-image-classification-jun2024-train dataset
This is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of image classification AIs. 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 mitigating/removing that trigger behavior from the trained AI models. This dataset consists of 288 AI models using a small set of model architectures.
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Source: https://drive.google.com/drive/folders/1VJPQgyydbOifr0UXO2eybxZBN1a5uY6f?usp=sharing
Trojan Detection Software Challenge - mitigation-image-classification-jun2024-test
Data provided by National Institute of Standards and Technology
mitigation-image-classification-jun2024-test dataset
This is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of image classification AIs. 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 mitigating/removing that trigger behavior from the trained AI models. This dataset consists of 288 AI models using a small set of model architectures.
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Source: https://drive.google.com/drive/folders/1tj9AYRqRHA-vLBCcbXc-3T-D1LyE3vTb?usp=drive_link
Data for "Quantum state tracking and control of a single molecular ion in a thermal environment''
Data provided by National Institute of Standards and Technology
Supplementary data for the article "Quantum state tracking and control of a single molecular ion in a thermal environment" by Yu Liu, Julian Schmidt, Zhimin Liu, David R. Leibrandt, Dietrich Leibfried, Chin-wen Chou, submitted to Science in 2024. The manuscript describes a quantum state-specific investigation of the molecular state evolution of a single CaH+ ion in a thermal environment.
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Voltammogram Data Associated with Manuscript titled: "Strategies for Assessing the Limit of Detection in Voltammetric Methods: Comparison and Evaluation of Approaches."
Data provided by National Institute of Standards and Technology
This data set contains the instrument files (.pssession) as well as the extracted voltammogram data as (.xlsx) for voltammetric analysis of lead, diphenylamine, ferrocyanide, naltrexone, and acetaminophen collected during the generation of calibration curves and serial dilutions.
Ferrocyanide data was collected via cyclic voltammetry between -300 mV and +700 mV with a scan rate of 100 mV/s and a potential sweep of 2 mV.
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