AndreaBozzo/ceres-open-data-index huggingface dataset:
High-volume, label-free imaging for quantifying single-cell dynamics in iPSC colonies

This collection is comprised of multiple sets of experiments involving iPSCs with varying dosages of fluorescent light excitation. Samples were imaged every 2 minutes using phase-contrast microscopy for 20+ hours with or without fluorescence excitation. Each experiment was done on different days (i.e. exp0 vs exp1) but with triplicate wells (i.e. exp1-0, exp1-1, exp1-2). Additionally, data used to train our 2D U-Net and 3D U-Net models are included. Detailed information for each dataset can be found in Dataset_Information.xlsx.

Tags: ai, genetic-engineering-regenerative-medicine, pluripotent-cell-lines-quantitative-live-cell-imaging-fluorescence-microscopy-image-data-analys, u-net
Organization: National Institute of Standards and Technology
Trojan Detection Software Challenge - cyber-pdf-dec2022-train

Round 12 Train DatasetThis is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of pdf malware classification AIs trained Contaigio dataset feature vectors. 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. This dataset consists of 120 AI models using a small set of model architectures. Half (50%) of the models have been poisoned with an embedded trigger which causes misclassification of the input when the trigger is present.

Tags: trojan-detection-artificial-intelligence-ai-machine-learning-adversarial-machine-learning
Organization: National Institute of Standards and Technology
Magnetic resonance imaging data and analysis software for "Towards a Barrier-Free Anthropomorphic Brain Phantom for Quantitative Magnetic Resonance Imaging: Design, First Construction Attempt, and Challenges"

Magnetic resonance imaging (MRI) data and analysis software for "Towards a Barrier-Free Anthropomorphic Brain Phantom for Quantitative Magnetic Resonance Imaging: Design, First Construction Attempt, and Challenges". This contains MRI data of the first construction attempt at 3 T and at 64 mT. The data includes T1 and T2 relaxation time measurements and susceptibility measurements (only at 3 T).

Tags: magnetic-resonance-imaging, mri
Organization: National Institute of Standards and Technology
O-RAN with Machine Learning in ns-3

This dataset contains a comparison of packet loss counts vs handovers using four different methods: baseline, heuristic, distance, and machine learning, as well as the data used to train a machine learning model. This data was generated as a result of the work described in the paper, "O-RAN with Machine Learning in ns-3," by the authors Wesley Garey, Tanguy Ropitault, Richard Rouil, Evan Black, and Weichao Gao from the 2023 Workshop on ns-3 (WNS3 2023), that was June 28-29, 2023,  in Arlington, VA, USA, and published by ACM, New York, NY, USA. This paper is accessible at https://doi.org/10.1145/3592149.3592157. This data set includes the data from "Figure 10: Simulation Results Comparing the Baseline with the Heuristic, Distance, and ML Approaches," "Figure 11: Simulation Results that Depict the Impact of Increasing the Link Delay of the E2 Interface," as well as the data set used to train the machine learning model that is discussed there.

Tags: lte, machine-learning, mobile-networks, modeling-and-simulation, ns-3, o-ran, onnx
Organization: National Institute of Standards and Technology
3D shape and size data for 10084 and 14163 lunar regolith particles

This database contains 3D shape and size data for 10084 (Apollo 11) and 14163 (Apollo 14) real lunar regolith particles, along with STL files for the approximately 14,000 particles studied via X-ray micro-CT and X-ray nano-CT. The database also contains similar information for the lunar regolith simulant JSC-1A but for over 100,000 particles. There are also images for all 10084 and 14163 particles examined by SEM, which are different particles out of the same material. Each particle studied in 3D, ranging in size from 0.5 micrometers to 100 micrometers, has length, width, thickness, surface area, and volume measured. The directionally-averaged projected area is also computed. The dataset contains a 3D STL file for each particle that was studied by X-ray CT. There are files describing the data structure of each kind of data file.Note: The large image-stack files have been compressed using the Linux gzip app, which adds a ".gz" extension after the file's extension. Free apps such as 7zip are able to uncompress these files or the Linux app gunzip can be used. All data files (.dat, .txt, .mic) are in ASCII format when they are uncompressed.

Tags: 10084, 14163, apollo-11, apollo-14, light-scattering, lunar-regolith, nasa, projected-area, shape, shape-distribution, size, size-distribution, x-ray-micro-computed-tomography
Organization: National Institute of Standards and Technology
UV-visible absorbance spectra of purified and unpurified m-cresol purple samples in sodium hydroxide and sodium chloride solutions at pH 12

M-cresol purple is the most widely used pH indicator dye for seawater pH measurements. Impurities in the indicator are known to absorb strongly at one of the wavelengths used in spectrophotometric pH determination and lead to large biases in the pH measurements.  This repository contains data and Matlab scripts to facilitate the implementation of a DD-SIMCA model for detecting residual impurities in purified m-cresol purple (mCP) relevant to climate quality seawater pH measurements. The model was trained on measurements of UV-visible absorbance spectra of purified mCP and tested on independent datasets consisting of purified and unpurified mCP samples. The repository contains demo scripts that will demonstrate the training and optimization of the DD-SIMCA model and reproduce the figures in the associated publication. A function is provided for users to classify new mCP samples with the model.The datasets consist of measurements of the UV-visible absorbance spectra (350 nm to 750 nm) of purified and unpurified m-cresol purple samples in sodium hydroxide and sodium chloride solutions at pH12 and an ionic strength of 0.7 mol/kg soln. The UV-visible absorbance measurements were collected on an Agilent Cary 100 spectrophotometer at NIST.  A second dataset is included consisting of similar measurements of various purified m-cresol purple samples collected on an Agilent 8453 spectrophotometer at MBARI. This dataset was used to test the performance of the SIMCA model on samples measured on a different spectrophotometer. The SIMCA model and results are published in the manuscript "Detection of impurities in m-cresol purple with SIMCA for the quality control of spectrophotometric pH measurements in seawater."

Tags: m-cresol-purple, ph-indicator, seawater-ph, simca, spectrophotometric-ph
Organization: National Institute of Standards and Technology
Continuous Mobile Manipulator Performance Experiment 02-01-2022

Mobile manipulators, which are robotic systems integrating an automatic or autonomous mobile base with a manipulator, can potentially enhance automation in many industrial and unstructured environments. Namely, large-scale manufacturing processes, typical in the aerospace, energy, transportation, and conformal additive manufacturing fields, encompass a notable subset of potential future mobile manipulator use-cases. Utilizing autonomous mobility for manipulator re-positioning could allow for continuous, simultaneous arm and mobile base cooperation, which is referred to as i.e., continuous performance. Continuous mobile manipulator capabilities may hold particular benefit for large, curved, and complex workpieces. However, such flexibility can also introduce additional sources of performance uncertainty, preventing mobile manipulators from satisfying stringent pose repeatability and accuracy requirements. To identify and quantify this uncertainty, the Configurable Mobile Manipulator Apparatus was developed by the National Institute of Standards and Technology. Previous test implementations with the apparatus included non-continuous mobile manipulator performance, such as static and indexed performance, but continuous performance measurement had only been previously demonstrated in simulation and on proof-of-concept hardware. This dataset was obtained through the transfer of simulations and algorithms for continuous registration to an industrial mobile manipulator platform and through a subsequent 2^3 factorial designed experiment to compare the performance and robustness of two continuous localization methods: 1) A deterministic spiral search and 2) A stochastic Unscented Kalman Filter (UKF) search across two selected mobile base speeds and sides of the CMMA. Supplementary data obtained prior to the experiment, such as source code, calibration data, mobile base map and configuration data, coordinate system measurements, and robot/client to ground-truth system time synchronization is also included, along with the analysis source code and results files generated in conducting the performance evaluation.

Tags: continuous-mobile-manipulator-performance-coordinate-registration-exploratory-data-analysis-fac
Organization: National Institute of Standards and Technology
Trojan Detection Software Challenge - rl-lavaworld-jul2023-train

Round rl-lavaworld-jul2023-train Train DatasetThis is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of Reinforcement Learning agents trained to navigate the Lavaworld Minigrid environment. 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 - rl-randomized-lavaworld-aug2023-train

Round rl-randomized-lavaworld-aug2023-train Train DatasetThis is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of Reinforcement Learning agents trained to navigate the Lavaworld Minigrid environment. 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
Research Data Framework (RDaF) Database

The NIST RDaF is a map of the research data space that uses a lifecycle approach with six high-level lifecycle stages to organize key information concerning research data management (RDM) and research data dissemination. Through a community-driven and in-depth process, stakeholders identified topics and subtopics?programmatic and operational activities, concepts, and other important factors relevant to RDM. All elements of the RDaF framework foundation?the lifecycle stages and their associated topics and subtopics?are defined. Most subtopics have several informative references, which are resources such as guidelines, standards, and policies that assist stakeholders in addressing that subtopic. Further, the NIST RDaF team identified 14 Overarching Themes which are pervasive throughout the framework. The Framework foundation enables organizations and individual researchers to use the RDaF for self-assessment of their RDM status. The RDaF includes sample ?profiles? for various job functions or roles, each containing topics and subtopics that an individual in the given role is encouraged to consider in fulfilling their RDM responsibilities. Individual researchers and organizations involved in the research data lifecycle can tailor these profiles for their specific job function using a tool available on the RDaF website. The methodologies used to generate all features of the RDaF are described in detail in the publication NIST SP 1500-8.This database version of the NIST RDaF is designed so that users can readily navigate the various lifecycle stages, topics, subtopics, and overarching themes from numerous locations. In addition, unlike the published text version, links are included for the definitions of most topics and subtopics and for informative references for most subtopics. For more information on the database, please see the FAQ page.

Tags: open-data, research-data, research-data-dissemination-use-and-reuse, research-data-ecosystem, research-data-framework, research-data-governance, research-data-lifecycle, research-data-management, research-data-sharing, research-stewardship
Organization: National Institute of Standards and Technology
Data associated with "Zeeman-resolved Autler-Townes splitting in Rydberg atoms with a tunable RF resonance and a single transition dipole moment"

Data associated with the publication: "Zeeman-resolved Autler-Townes splitting in Rydberg atoms with a tunable RF resonance and a single transition dipole moment"Applying a magnetic field as a method for tuning the frequency of Autler-Townes splitting for Rydberg electrometry has recently been demonstrated. In the corresponding paper, we provide a theoretical understanding of EIT signals in the presence of a large magnetic field, as well as demonstrate some advantages of this technique over traditional Autler-Townes based electrometry. We show that a strong magnetic field provides a well-defined quantization axis regardless of the optical field polarizations, we demonstrate that by separating the $m_J$ levels of the Rydberg state we can perform an Autler-Townes splitting with a single participating dipole moment, and we demonstrate recovery of signal strength by populating a single $m_J$ level using circularly polarized light.Included in this dataset is the data associated with every plot in the paper, separated by figure number, including:FIgure 2: Measured EIT signals in the presence of a strong(1.85(1) mT) magnetic field either aligned with or orthogonalto the polarization axis. Figure 3: Theoretical EIT signals for Cs in the presence ofa 1.85(1) mT magnetic field for light polarizations alignedto or orthogonal to the magnetic field.Figure 4: Measured Autler-Townes splittings in individual mJlevels via the 58D5/2(mJ = ±5/2) ? 59P3/2(mJ = ±3/2)transitions of Cs in the presence of 2.78(1) mT.Figure 5: Measured Autler-Townes splittings on the Cs58D5/2 ? 59P3/2 transition with and without mJ selectivityfor various RF fields up to 3.08 V/m. Figure 6:  EIT in the presence of a large magnetic field using circularly polarized light.EIT signals correspond to voltage traces (collected on an oscilloscope) of a balanced photodiode as laser frequencies are scanned. The x axis is converted from a time series of each voltage to a frequency using a reference cell. The scaling is determined by measuring the difference between the EIT peaks corresponding to the D5/2 and D3/2 Rydberg states, and the zero is generally taken to be the location of the D5/2 EIT peak.

Tags: autler-townes, electrometry, magnetic-field, quantum-sensing, rydberg, spectroscopy, zeeman
Organization: National Institute of Standards and Technology
Software and data associated with "DeJaco, R. F.; Kearsley, A. J. Understanding Fast Adsorption in Breakthrough-curve Measurements.''

The purpose of this code and data is to enable reproduction and facilitate extension of the computational results associated with following work DeJaco, R. F.; Kearsley, A. J. Understanding Fast Adsorption in Breakthrough-curve Measurements, 2023.

Tags: adsorption, boundary-layer-theory, breakthrough-curve, chromatography, kinetics, numerical-simulation, perturbation-theory
Organization: National Institute of Standards and Technology
Dataset for: A technique for in-situ displacement and strain measurement with laboratory-scale X-ray Computed Tomography

This record provides raw and post-processed data used in the associated paper "A technique for in-situ displacement and strain measurement with laboratory-scale X-ray Computed Tomography." The codes used are provided in a separate software publication "SerialTrackXR", also referenced. The data consist of 3D X-ray computed tomography (X-ray CT) scans, projection images, and load/displacement data of two additively manufactured tensile test coupons made from IN718 with different processing conditions. The 3D images were collected in-situ at progressively increasing levels of applied displacement. The projection images track this displacement both total and as surface maps.  Load/displacement data from the load frame used to apply displacement are also provided. A displacement tracking validation dataset, consisting of known rigid body displacements imposed on a nominally un-deformed third test specimen is also included.The X-ray CT data are rather large, each .tiff stack being about 2 GB; the displacement and strain map files are also >1 GB. Other data are relatively smaller. The dataset consists of 170 files, totaling 69.9 GB (as noted above, much of this space is in 3D images and raw data for the 3D images - most users will not need to interact with those raw data).

Tags: in-situ-pore-deformation, laboratory-x-ray-micro-computed-tomography, particle-tracking, surface-strain-measurement
Organization: National Institute of Standards and Technology
Python tools for OpenFOAM simulations of fused filaments in embedded 3D printing, Version 1.2.0

In embedded 3D printing, a nozzle is embedded into a support bath and extrudes filaments or droplets into the bath. Using OpenFOAM, we simulated the extrusion of filaments and droplets into a moving bath, for single filaments, single filaments being disturbed by a nozzle, and printing pairs of filaments. OpenFOAM is an open source computational fluid dynamics solver. This repository contains the following Python tools: Tools for generating input files for OpenFOAM v1912 or OpenFOAM v8 tailored to a nozzle extruding a filament into a static support bath, Tools for monitoring the status of OpenFOAM simulations and aborting them if they are too slow, Tools for moving output files between storage locations. (For example, it can automatically move all files to a server, but only necessary files to your hard drive), Tools for generating images and tables from the 3D time series,  Tools for compiling images into videos, Tools for analyzing, summarizing, and plotting data.

Tags: 3d-printing, bioprinting, computational-fluid-dynamics, embedded-3d-printing, interfacial-energy, openfoam, polymer, rheology
Organization: National Institute of Standards and Technology
OpenFOAM simulations of filament fusion in embedded 3D printing

In embedded 3D printing, a nozzle is embedded into a support bath and extrudes filaments or droplets into the bath. However, moving the nozzle near an existing structure and writing new filaments can cause deformation and lack-of-fusion defects. Using OpenFOAM, we simulated what happens when a nozzle moves near an existing filament, and when a nozzle writes a second filament next to an existing filament. OpenFOAM is an open source computational fluid dynamics solver. This work used OpenFOAM 8 on a computing cluster. OpenFOAM input files were generated using Python 3.7. Output files were analyzed using Paraview 5.8.0 and Python 3.7. Associated code can be found on Github: https://github.com/usnistgov/openfoamEmbedded3DP, doi:10.18434/mds2-3128 This data is described in: Friedrich, L.M., & Gunther, R.T. (2023) Simulated inter-filament fusion in embedded 3D printing, submitted for publication.

Tags: 3d-printing, extrusion, herschel-bulkley, openfoam, rheology, support-bath, surface-tension
Organization: National Institute of Standards and Technology
Interlaboratory Measurement of Adeno-Associated Virus:Comparative Quantification of Full and Empty Capsids

Summary Data For Interlaboratory Study on Adeno-Associated Virus Particles. This contains all the data to be published in a journal article detailing the measurement of full-to-total ratio by analytical ultracentrifugation, size exclusion chromatography-multiangle light scattering, polymerase chain reaction, and ultraviolet spectrophometry. Samples here consisted of nominally 100% full particles, nominally 0% full particles, and a 50:50 mixture of the two.

Tags: aav, auc, interlaboratory, pcr, sec-mals, uv-vis
Organization: National Institute of Standards and Technology
Markerless Body Tracking System Results for Industrial Exoskeletons

Red, Green, and Blue (RGB) and depth markerless body tracking systems were applied for industrial exoskeletons. The original images and their body tracking results are described in this data set. The data set describes the body tracking result changes by exoskeletons, industrial task poses, and camera viewpoints. A full-body exoskeleton, an upper-body exoskeleton, and an exosuit are used in the test. Stand, bend forward, squat, and crouch are defined as industrial poses with stretching arms forward, forward-up, up, forward-down, or down. The original images for body tracking were captured from front, side-front, side, side-back, and back from the subject with straight or top-down vertical viewpoints. The acceptability of body tracking results was evaluated for classifying usable data for exoskeleton performance analysis. The data set includes the original images, body tracking overlaid images, representative body tracking results, and acceptability evaluation results. A manuscript publication associated with his data publication is in progress. DOI will be provided when ready.Disclaimer: Certain commercial equipment, instruments, or materials are identified in this paper to foster understanding. Such identification does not imply recommendation or endorsement by the National Institute of Standards and Technology nor does it imply that the materials or equipment identified are necessarily the best available for the purpose.

Tags: body-tracking, exoskeleton, rgd-depth
Organization: National Institute of Standards and Technology
LABORATORY-BASED REFERENCE CHANNELS FOR MILLIMETER-WAVE WIRELESS DEVICE MEASUREMENTS

This dataset is for the publication entitled "LABORATORY-BASED REFERENCE CHANNELS FOR MILLIMETER-WAVE WIRELESS DEVICE MEASUREMENTS." The dataset includes results from experiments in a simulated industrial wireless channel operated at 28 GHz. Results include synthetic-aperture beamforming data, and error-vector-magnitude information calculated from synthetic-aperture and directional-antenna measurements.

Tags: millimeter-wave-reverberation-chamber-ota
Organization: National Institute of Standards and Technology
Leakage Current Pathways in Josephson Arbitrary Waveform Synthesizer StandardsData shown in CPEM 2024 abstract

Dataset for multiple publishable figures in the paper entitled "Leakage Current Pathways in Josephson Arbitrary Waveform Synthesizer Standards" to be submitted to CPEM 2024

The voltage errors associated with leakage currents in Josephson arbitrary waveform synthesizer (JAWS) systems are significant contributors to the overall system accuracy. This paper describes discrepancies in output voltage between two different circuit halves on a single JAWS chip and shows that this discrepancy is dominated by ac leakage currents through the stray capacitance in the compensation leads.

Tags: josephson-junctions, leakage-currents, measurement-uncertainty, standards, superconducting-integrated-circuits, voltage-measurement
Organization: National Institute of Standards and Technology