AndreaBozzo/ceres-open-data-index huggingface dataset:
Trojan Detection Software Challenge - cyber-apk-nov2023-train

TrojAI cyber-apk-nov2023 Train DatasetThis is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of small feed forward multi-layer perceptron type neural network models classifying APK feature vectors as malware or clean. 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.

Tags: trojan-detection-artificial-intelligence-ai-machine-learning-adversarial-machine-learning
Organization: National Institute of Standards and Technology
Trojan Detection Software Challenge - cyber-network-c2-feb2024-train

TrojAI cyber-network-c2-feb2024 Train DatasetThis is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of ResNet18 and ResNet34 neural network models that classify botnet command and control (c2) and benign network traffic packets trained on the USTC-TFC2016 dataset. 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.

Tags: trojan-detection-artificial-intelligence-ai-machine-learning-adversarial-machine-learning
Organization: National Institute of Standards and Technology
ALIGNN: Atomistic Line Graph Neural Network

Graph neural networks (GNN) have been shown to provide substantial performance improvements for atomistic material representation and modeling compared with descriptor-based machine learning models. While most existing GNN models for atomistic predictions are based on atomic distance information, they do not explicitly incorporate bond angles, which are critical for distinguishing many atomic structures. Furthermore, many material properties are known to be sensitive to slight changes in bond angles. We present an Atomistic Line Graph Neural Network (ALIGNN), a GNN architecture that performs message passing on both the interatomic bond graph and its line graph corresponding to bond angles. We demonstrate that angle information can be explicitly and efficiently included, leading to improved performance on multiple atomistic prediction tasks. We ALIGNN models for predicting 52 solid-state and molecular properties available in the JARVIS-DFT, Materials project, and QM9 databases. ALIGNN can outperform some previously reported GNN models on atomistic prediction tasks with better or comparable model training speed.

Tags: atomistic-modeling, graph-neural-networks
Organization: National Institute of Standards and Technology
High-SNR I/Q Recordings of FDD LTE User Equipment Emissions

This dataset consists of high signal-to-noise ratio (SNR) in-phase and quadrature (I/Q) radio frequency (RF) recordings of long-term evolution (LTE) uplink emissions from a commercial-off-the-shelf (COTS) handset in a fully conducted environment.  A base station emulator was used to configure the handset to statically transmit over various LTE physical resource block configurations for 1.4 MHz, 3 MHz, 5 MHz, and 10 MHz uplink channels centered at 1770 MHz in LTE Band 66, which is a frequency-division duplex (FDD) band.  The aim of this effort was to acquire a dataset that could be used to aid the development of computational models for emissions from real-world communication hardware.

Tags: in-phase-and-quadrature-data, long-term-evolution-lte, wireless-communications
Organization: National Institute of Standards and Technology
ProSAS: An O-RAN Approach to Spectrum Sharing between NR and LTE

The dataset corresponds to the findings detailed in the paper titled "ProSAS: An O-RAN Approach to Spectrum Sharing between NR and LTE," to be included in the proceedings of the 2024 IEEE International Conference on Communications (ICC).

Tags: deep-learning-architectures, demand-forecasting, lte, nr, open-ran, spectrum-sharing, statistical-models
Organization: National Institute of Standards and Technology
Data associated with manuscript "Validated UV-C bidirectional reflectance distribution function measurements with a spectrophotometer directional reflectance module"

This archive contains the bidirectional reflectance distribution function (BRDF) data of real-world samples associated with the paper Aaron M. Goldfain, Grace E. Waters, Lynn Davis, Heather J. Patrick, and Thomas A. Germer, "Validated UV-C bidirectional reflectance distribution function measurements with a spectrophotometer directional reflectance module," Applied Optics 63, 7715-7725 (2024). https://doi.org/10.1364/AO.527427 . The figures in the paper show a subset of the data included in this archive.This archive contains the measured BRDF of materials commonly found in public spaces where UV disinfection may be used. The BRDF is measured at wavelengths of 222 nm, 255 nm, and 280 nm.  The 8 samples measured are an acrylonitrile butadiene styrene (ABS) plastic panel, a vinyl sheet, a polypropylene sheet, an extruded steel sheet, an extruded aluminum sheet, a silver-coated reflector, a glossy white ceramic tile, and a glossy grey ceramic tile. The data is presented as text files along with images that show plots of each sample's BRDF as a function of detection angle.

Tags: brdf, germicidal-uv, spectrophotometry, uv-c, uv-disinfection
Organization: National Institute of Standards and Technology
Templates for the Implementation of Rapid GC-MS for Seized Drug and Ignitable Liquid Analyses

This dataset contains templates to assist with the implementation and validation of rapid gas chromatography-mass spectrometry (GC-MS) technology for the analyses of seized drugs (probe tip injection) and ignitable liquids (liquid and solid phase microextraction (SPME) injection). The validation package includes plans and workbooks for each application, both of which can be modified to fit the methods and approaches currently utilized in the laboratory. A standard operating procedure (SOP) for the rapid GC-MS system is also included in the validation package. Certain commercial equipment, instruments, or materials are identified in this dataset in order to specify the experimental procedure adequately. Such identification is not intended to imply recommendation or endorsement by the National Institute of Standards and Technology, nor is it intended to imply that the materials or equipment identified are necessarily the best available for the purpose.

Tags: forensics, ignitable-liquids, implementation, rapid-gc-ms, seized-drugs, validation
Organization: National Institute of Standards and Technology
Videos of single, double, and triple filaments in embedded 3D printing

These images, videos, and tables show experimental data, where single lines, pairs of lines, and trios of lines of viscoelastic silicone inks were extruded into moving viscoelastic support baths. Lines were printed at varying angles relative to the camera, such that videos and images captured the side of horizontal lines, cross-sections of horizontal lines, and the side of vertical lines. For single lines and pairs of lines, the filaments were also disturbed after printing by running the nozzle next to the construct. Metadata including pressure graphs, programmed speeds, toolpaths, and rheology data are also included.

Tags: 3d-printing, additive-manufacturing, capillarity, interfacial-energy, polymer, rheology
Organization: National Institute of Standards and Technology
In situ methane mole fraction observations from three sites in the Washington DC region from the NIST Northeast Corridor Project: January 2015 - December 2022

Methane (CH4) mole fraction data collected from three tower sites in the Washington DC area: Bucktown, MD (BUC, ghg01), Stafford, VA (SFD, ghg65), and Thurmont, MD (TMD, ghg61), as part of NIST's Northeast Corridor Urban Testbed project, presented as 1-minute averages.  This data is published for research academic and related non-commercial purposes consistent with NIST?s mandate to further the science and the promulgation of appropriate standards. This dataset was used in the following publication and this archive represents the static archive of the data used in the publication and is not updated or modified:  Sahu, S., Ahn, D., Loughner, C., and Dickerson, R., "Influence of synoptic weather patterns on methane mixing ratios in the Baltimore/Washington region", Atmospheric Environment, Volume 334, 2024, 120675, ISSN 1352-2310,https://doi.org/10.1016/j.atmosenv.2024.120675.Data is described further in the Readme document and references cited within.

Tags: bucktown, greenhouse-gas-measurements, methane, northeast-corridor, urban-testbed, washington-dc
Organization: National Institute of Standards and Technology
Digital image analysis tools for pairs of filaments in embedded 3D printing

In embedded 3D printing, a nozzle is embedded into a support bath and extrudes filaments or droplets into the bath. This repository includes Python code for analyzing and managing images and videos of the printing process during extrusion of single filaments, pairs of filaments, and triplets of filaments. The link to the GitHub release goes to the state of the code when the paper was submitted. From there, you can also access the current state of the code.

Tags: 3d-printing, additive-manufacturing, bioprinting, interfacial-tension, polymer, rheology
Organization: National Institute of Standards and Technology
Code and Results for the Application of Polar SAFT models to Refrigerants

This dataset includes the python scripts and output results for fitting SAFT models to the phase equilibrium density, pressure, and speed of sound for refrigerants. A conda environment file is included specifying the dependencies, and the driver script does all the fitting. The process is carried out in parallel through the use of process-level parallelism. The output files are in the JSON format, in a hierarchical folder data structure. Summary files are generated in the csv format. A README file is included within the zip file.

Tags: equation-of-state, optimization, phase-equilibria, polar, refprop, teqp
Organization: National Institute of Standards and Technology
Trojan Detection Software Challenge - cyber-network-c2-mar2024-train

TrojAI cyber-network-c2-mar2024 Train DatasetThis is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of ResNet18 and ResNet34 neural network models that classify botnet command and control (c2) and benign network traffic packets trained on the USTC-TFC2016 dataset. 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.

Tags: trojan-detection-artificial-intelligence-ai-machine-learning-adversarial-machine-learning
Organization: National Institute of Standards and Technology
Biphenyl: Experimental and Derived Thermodynamic Properties

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. Tasker, Allan B. Cowell, Michael M. Strube, and the author of this report. A summary of the measurements reported here is given in Table 1, together with a list of experimental results that were reported previously and used in the generation of the derived properties.

Tags: density, enthalpy-of-formation, heat-capacity, thermodynamic-functions, vapor-pressure
Organization: National Institute of Standards and Technology
Data for "Using Commercial Source Measure Units for Traceable RF Power Measurements" for the 2024 ARFTG conference in Washington, DC.

As a National Metrology Institute (NMI), the National Institute of Standards and Technology (NIST) maintains traceable measurement capabilities for a variety of quantities, including microwave power. At NMIs and calibration laboratories, traceable microwave power measurements often rely on the principle of dc substitution. This approach involves a power meter that provides dc power to a sensor under test. DC substitution power meters are typically implemented by analog electronics, making them difficult to maintain. Here, we explore programmable source measure units as an alternative implementation of the power meter. We offer a preliminary uncertainty analysis and describe a method to reduce measurement uncertainty due to the accuracy of the measurement equipment. This is data for the manuscript "Using Commercial Source Measure Units for Traceable RF Power Measurements" for the 2024 ARFTG conference.

Tags: calibration-services, power
Organization: National Institute of Standards and Technology
Data for "Trap-integrated superconducting nanowire single-photon detectors for trapped-ion qubit state readout"

Numerical values of all data points shown in figures for manuscript "Trap-integrated superconducting nanowire single-photon detectors for trapped-ion qubit state readout", Proc. SPIE 13025, Advanced Photon Counting Techniques XVIII, 1302506 (7 June 2024); https://doi.org/10.1117/12.3014455

Tags: quantum-computing, qubit, single-photon-detector, snspd, trapped-ion
Organization: National Institute of Standards and Technology
Microwave oven interference measurements at 2.4 GHz

The 2.4 GHz ISM band is shared by Wi-Fi, Bluetooth, Wireless HART, ISA100.11a, and several other industrial wireless systems.  This band also includes microwave ovens which produce interference that disrupt communications within their vicinity, therefore, understanding and monitoring for interference from these types of radio emissions sources is crucial to ensure an optimal wireless user experience.  Microwave ovens are common radio interference sources that disrupt the operation of the wireless networks in industrial environments.  While avoiding these types of emissions would be an ideal solution, human practicalities often make the elimination of microwave ovens impossible.  Therefore, understanding the properties of this common radio emission is necessary.   A real-time spectrum analyzer (RTSA) was used to capture complex baseband recordings of radio frequency emissions of three different microwave ovens at 2.45 GHz.  The measurement data herein may be used to replicate the interference in a laboratory setting and thereby allowing industrial wireless network integrators to evaluate the performance of their wireless networks operating concurrently with this type of interference.Disclaimer: Certain commercial equipment, instruments, or materials are identified in this publication in order to describe the experimental procedures and data adequately. Such identification is not intended to imply recommendation or endorsement by the National Institute of Standards and Technology, nor is it intended to imply that the materials or equipment identified are necessarily the best available for the purpose.

Tags: factory-communications, ieee-3388, radio-interference
Organization: National Institute of Standards and Technology
Three dimensional shape and size X-ray CT database for 1.1 million particles from 17 different lunar regolith simulants

Lunar regolith simulants are manufactured in order to provide a higher volume, much less expensive and more available source of material, compared to real lunar regolith material, upon which to test various instruments and machines that are being designed to operate on the lunar surface. There are many sources of these materials. However, the three-dimensional (3D) shape of these materials has never been characterized and used to compare to each other and to real lunar regolith material brought back from the Apollo missions. The focus of this database is to provide 3D shape and size information for each of 17 lunar regolith materials (8 mare, 9 highland). Over 1.1 million particles are in this database, with their 3D shape stored as STL files. Geometric information about each particle is in the database, as well as the original X-ray CT images from which the particles were extracted.

Tags: apollo, highland, lunar-regolith, mare, simulants, stl-files, three-dimensional, x-ray-computed-tomography
Organization: National Institute of Standards and Technology
Trojan Detection Software Challenge - llm-pretrain-apr2024-train

TrojAI llm-pretrain-apr2024 Train DatasetThis is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists Llama2 Large Language Models refined using fine-tuning and LoRA to perform next token prediction. A known percentage of these trained AI models have been poisoned with triggers which induces modified behavior. This data will be used to develop software solutions for detecting which trained AI models have been poisoned via embedded triggers into the model weights.

Tags: trojan-detection-artificial-intelligence-ai-machine-learning-adversarial-machine-learning
Organization: National Institute of Standards and Technology
TREC 2023 Interactive Knowledge Acquisition Track dataset

iKAT is the successor to the TREC Conversational Assistance Track (CAsT). The fourth year of CAST aimed to add more conversational elements to the interaction streams, by introducing mixed initiatives (clarifications, and suggestions) to create multi-path, multi-turn conversations for each topic. TREC iKAT evolves CAsT into a new track to signal this new trajectory. iKAT aims to focus on supporting multi-path, multi-turn, multi-perspective conversations. That is for a given topic, the direction and the conversation that evolves depends not only on the prior responses but also on the user.

Tags: trec-text-retrieval-conference
Organization: National Institute of Standards and Technology
TREC 2023 Tip-of-the-Tongue dataset

The Tip-of-the-Tongue (ToT) Track focuses on the known-item identification task where the searcher has previously experienced or consumed the item (e.g., a movie) but cannot recall a reliable identifier (i.e., It's on the tip of my tongue...). Unlike traditional ad-hoc keyword-based search, these information requests tend to be natural-language, verbose, and complex containing a wide variety of search strategies such as multi-hop reasoning, and frequently express uncertainty and suffer from false memories.

Tags: trec-text-retrieval-conference
Organization: National Institute of Standards and Technology
Data for "Evaluating CO2 and CH4 absorption models with open-path dual-comb spectroscopy"

Open-path near-IR dual-comb spectra collected at Mauna Loa Observatory in spring 2021, fit with different absorption models (eg HITRAN) and compared against NOAA GML's record.

Tags: carbon-dioxide, methane, satellite, spectroscopy
Organization: National Institute of Standards and Technology
Adult brain T1 and T2 values measured at 3 T using magnetic resonance fingerprinting with phantom validation

Test-retest MRI T1 and T2 relaxation maps obtained using magnetic resonance fingerprinting at 3 T. Maps of 20 participants and of a phantom imaged either immediately before or after an in vivo measurement.

Tags: magnetic-resonance-fingerprinting, mri, phantom-validation, t1, t2
Organization: National Institute of Standards and Technology
9,10-Dihydrophenanthrene: Experimental and Derived Thermodynamic Properties

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. Tasker, Allan B. Cowell, Michael M. Strube, and the author of this report.

Tags: density, enthalpy-of-formation, heat-capacity, thermodynamic-functions, vapor-pressure
Organization: National Institute of Standards and Technology
Evaluation of static and dynamic magnetic properties of CoFeB versus thickness

The enclosed dataset includes measurements of a thickness series of CoFeB thin film samples that were deposited at the NIST Magnetic Engineering Research Facility using magnetron sputtering. The thickness-dependent magnetic properties of CoFeB have significant technological relevance for predicting the read/write energy and speed of spin-transfer-torque magnetoresistive random access memory devices, which employ a nm-thick CoFeB film as the data storage layer. Ferromagnetic resonance observations were conducted using vector network analyzer ferromagnetic resonance  at fixed frequencies over a broad frequency range. The ferromagnetic resonance field and resonance linewidth versus frequency were used to determine the spectroscopic g-factor, effective magnetization Meff, Gilbert damping and the inhomogeneous linewidth broadening, respectively. This is a preliminary release and additional data will be added as this project continues

Tags: ferromagnetic-resonance, ferromagnetism, magnetism, mram, thin-film
Organization: National Institute of Standards and Technology
Measurement Quality Metrics to Improve Absolute Microbial Cell Counting

This repository contains the raw data and analysis scripts supporting the associated publication which introduces a framework to help researchers select fit-for-purpose microbial cell counting methods and optimize protocols for quantification of microbial total cells and viable cells. Escherichia coli cells were enumerated using four methods (colony forming unit assay, impedance flow cytometry - Multisizer 4, impedance flow cytometry - BactoBox, and fluorescent flow cytometry - CytoFLEX LX) and repeated on multiple dates. The experimental design for a single date starts with a cell stock that is divided into 18 sample replicates (3 each for 6 different dilution factors), and each sample is assayed one or two times for a total of 30 observations. Raw data files are provided from the Multisizer 4 (*.#m4) and CytoFLEX LX (*.fcs 3.0). The colony forming unit assay and BactoBox readings are recorded for each date as are the derived results from the Multisizer 4 and CytoFLEX LX. Also provided are an example analysis script for the *.fcs files and the statistical analysis that was performed.

Tags: microbial-measurement-quality-metric-viability-cell-counting
Organization: National Institute of Standards and Technology