AndreaBozzo/ceres-open-data-index huggingface dataset:
Deep Video Understanding Annotations Dataset

The BBC Land Girls TV series is a 3 season series. Each season is 5 episodes of about 45mins each. The TRECVID group at NIST worked with the BBC Corp. to release the dataset to the research community to work on video understanding tasks. Unfortunately, the hosting arrangement for the dataset was not successful and the release of the video dataset couldn't be done. We are releasing the annotations conducted by NIST, without any video data, so that the researchers interested in working on knowledge graph understanding and natural language analysis can take advantage of them.

Tags: bbc, knowledge-graphs, land-girls, multimedia-understanding, video-analysis, video-description
Organization: National Institute of Standards and Technology
C++ implementation of enthalpy-entropy flash calculations with superancillary equations

This repository implements the code to accompany the paper "Accelerating Enthalpy-Entropy Iterative Calculations With Superancillary Phase Boundaries" in the Energy journal by Ian Bell.The code uses superancillary equations (Chebyshev expansions) to speed up the phase-boundary determination and two-phase iterative calculations by a factor of approximately 500 without a loss in precision.

Tags: chebyshev, equation-of-state, iterative-calculation, numerical-approximation
Organization: National Institute of Standards and Technology
Data for Modeling OFDM Communication Signals with Generative Adversarial Networks

This repository contains results for experiments on generative modeling of synthetic Orthogonal-Frequency Division Multiplexing (OFDM) communication signals.  (This record supersedes Software and Data for Modeling OFDM Communication Signals with Generative Adversarial Networks, formerly at https://doi.org/10.18434/mds2-2428)

Tags: generative-adversarial-network, machine-learning, wireless-communications
Organization: National Institute of Standards and Technology
Simantha: Simulation for Manufacturing

Simantha is a discrete event simulation package written in Python that is designed to model the behavior of discrete manufacturing systems. Specifically, it focuses on asynchronous production lines with finite buffers. It also provides functionality for modeling the degradation and maintenance of machines in these systems. Classes for five basic manufacturing objects are included: source, machine, buffer, sink, and maintainer. These objects can be defined by the user and configured in different ways to model various real-world manufacturing systems. The object classes are also designed to be extensible so that they can be used to model more complex processes.In addition to modeling the behavior of existing systems, Simantha is also intended for use with simulation-based optimization and planning applications. For instance, users may be interested in evaluating alternative maintenance policies for a particular system. Estimating the expected system performance under each candidate policy will require a large number of simulation replications when the system is subject to a high degree of stochasticity. Simantha therefore supports parallel simulation replications to make this procedure more efficient.Github repository: https://github.com/usnistgov/simantha

Tags: discrete-event-simulation, maintenance, manufacturing, production, python
Organization: National Institute of Standards and Technology
Virus Particle Exposure in Residences (ViPER) Webtool

The Virus Particle Exposure in Residences (ViPER) Webtool is a single zone indoor air quality and ventilation analysis tool developed by the National Institute of Standards and Technology (NIST) for evaluating an occupant's relative exposure to viral particles exhaled by a temporary visitor inside the home.

Tags: airflow, contam, contaminants, occupant-exposure, residential, simulation, virus-particle
Organization: National Institute of Standards and Technology
Genome In A Bottle - v3.0 Genome Stratifications

These v3.0 stratification BED files from the Global Alliance for Genomic Health (GA4GH) Benchmarking Team, the Genome in a Bottle Consortium and the Telomere-to-Telomere Consortium are intended as a standard resource of BED files for use in stratifying true positive, false positive, and false negative variant calls in challenging and targeted regions of the the genome.  v3.0 stratifications contain new and revised stratification files and replace v2.0 stratifications.

Tags: human-genomics-dna-sequencing-reference-materials
Organization: National Institute of Standards and Technology
The NMR Spectral Measurement Database: A System for Organizing and Accessing NMR Spectra of Protein Therapeutics

The Nuclear Magnetic Resonance Spectral Measurement Database (NMR-SMDB) was developed for the purpose of organizing and searching NMR spectral data of protein therapeutics, linking spectra to corresponding sample information and enabling quick access to full datasets and entire studies. In addition to supporting internal NIST research, the system could facilitate data access to stakeholders outside of NIST, and future versions of the database software itself could be installed by others for their own data storage and retrieval.

Tags: database, nmr, nmr-smdb, nmr-spectral-measurement-database, nuclear-magnetic-resonance
Organization: National Institute of Standards and Technology
Python scripts used to generate the figures in "An algorithm to identify vapor-liquid-liquid equilibria of binary mixtures from vapor-liquid equilibria"

The files in this repository can be used to generate the complete set of figures in the paper "An algorithm to identify vapor-liquid-liquid equilibria from vapor-liquid equilibria". The zip file, when expanded, includes a conda environment to populate the dependencies, and a set of python scripts.  Running make_figures.py will regenerate all the figures, demonstrating how to use the algorithm.

Tags: phase-equilibrium-thermodynamics-algorithms
Organization: National Institute of Standards and Technology
Datasets from an interlaboratory comparison to characterize a multi-modal polydisperse sub-micrometer bead dispersion

These four data files contain datasets from an interlaboratory comparison that characterized a polydisperse five-population bead dispersion in water. A more detailed version of this description is available in the ReadMe file (PdP-ILC_datasets_ReadMe_v1.txt), which also includes definitions of abbreviations used in the data files. Paired samples were evaluated, so the datasets are organized as pairs associated with a randomly assigned laboratory number. The datasets are organized in the files by instrument type: PTA (particle tracking analysis), RMM (resonant mass measurement), ESZ (electrical sensing zone), and OTH (other techniques not covered in the three largest groups, including holographic particle characterization, laser diffraction, flow imaging, and flow cytometry). In the OTH group, the specific instrument type for each dataset is noted. Each instrument type (PTA, RMM, ESZ, OTH) has a dedicated file. Included in the data files for each dataset are: (1) the cumulative particle number concentration (PNC, (1/mL)); (2) the concentration distribution density (CDD, (1/mL·nm)) based upon five bins centered at each particle population peak diameter; (3) the CDD in higher resolution, varied-width bins. The lower-diameter bin edge (µm) is given for (2) and (3). Additionally, the PTA, RMM, and ESZ files each contain unweighted mean cumulative particle number concentrations and concentration distribution densities calculated from all datasets reporting values. The associated standard deviations and standard errors of the mean are also given. In the OTH file, the means and standard deviations were calculated using only data from one of the sub-groups (holographic particle characterization) that had n = 3 paired datasets. Where necessary, datasets not using the common bin resolutions are noted (PTA, OTH groups). The data contained here are presented and discussed in a manuscript to be submitted to the Journal of Pharmaceutical Sciences and presented as part of that scientific record.

Tags: biosciences-and-health, electrical-sensing-zone, flow-cytometry, flow-imaging, holographic-particle-characterization, laser-diffraction, particle, particle-tracking-analysis, protein-particle, resonant-mass-measurement, sub-micrometer-particle, subvisible-particle
Organization: National Institute of Standards and Technology
Automated particle analysis (SEM/EDS) data from samples known to have been exposed to gunshot residue and from samples occasionally mistaken for gunshot residue - like brake dust and fireworks.

Automated particle analysis (SEM/EDS) data from samples known to have been exposed to gunshot residue and from samples occasionally mistaken for gunshot residue - like brake dust and fireworks. The dataset consists of analyses of 30 discrete samples: 12 from sampling automobiles ("brake dust"), 10 from sampling fireworks ("sparklers" and "spinners" and "roman candles"), 8 from shooter's left or right hands. The analysis configuration meta-data for each analysis are contained in the "configuration.txt" and "script.py" files.  The raw data from each analysis is in the file pair "data.pxz" and "data.hdz".  The HDZ-file details the contents of the PXZ-file.  In addition, the "mag0" directory contains TIFF images with embedded X-ray spectra for each particle in the dataset. Additional HDZ/PXZ files contain the results of reprocessing the "data.hdz/.pxz" in light of the "mag0" spectra and the standard spectra in "25 keV.zip" The samples came from Amy Reynolds (amy.reynolds@pd.boston.gov) at the Boston Police Department.  The "Shooter" samples were taken from a volunteer who fired a gun at a local firing range and was then sampled immediately after.  They are part of a time series that was used to study GSR retention. The TIFF Image/Spectrum files can be read using NIST DTSA-II (https://www.nist.gov/services-resources/software/nist-dtsa-ii) or NeXLSpectrum.jl (https://doi.org/10.18434/M32286).  The HDZ/PXZ files can be read using NIST Graf (available on request) or NeXLParticle.jl (https://github.com/usnistgov/NeXLParticle.jl).

Tags: apa, automated-particle-analsyis, energy-dispersive-x-ray-spectrometry, forensic, gsr, gunshot-residue, scanning-electron-microscope, sem-eds, sem-edx
Organization: National Institute of Standards and Technology
Challenging Medically-Relevant Genes Benchmark Set

CMRG v1.00 of a small variant benchmark and structural variant benchmark focused on 273 challenging medically relevant genes for the Genome in a Bottle (GIAB) sample HG002 (aka Ashkenazi son). These benchmarks were generated from a trio-based hifiasm v0.11 (https://doi.org/10.1038/s41592-020-01056-5) diploid assembly of HG002 using PacBio HiFi reads for HG002 for assembly and partitioning into phased haplotypes using Illumina reads for the parents, HG003 and HG004. This benchmark contains vcfs for small and structural variants along with corresponding benchmark bed files indicating regions that are homozygous reference if they do not have a variant in the vcf. We extensively curated the variant calls, excluding any found to be questionable or errors. This benchmark helps measure performance in important challenging regions, including challenging segmental duplications, regions with complex variants, regions with structural variants, and regions affected by false duplications in GRCh37 or GRCh38. This benchmark is described in https://doi.org/10.1101/2021.06.07.444885.

Tags: bioinformatics, dna-sequencing, human-genomics, medical-genomics, reference-materials
Organization: National Institute of Standards and Technology
SEM/EDS hyperspectral data set from platinum group mineral ore embedded in epoxy

SEM/EDS hyperspectral data set from platinum group mineral ore embedded in epoxy Live time/pixel: 4.0*1.3*3600.0/(512*512) # 1.3 hours on 4 detectors Energy scale: 10 eV/ch and 0.0 eV offset ProbeCurrent: 1.0 nA BeamEnergy: 20.0 keV

Tags: eds, epma, hyperspectrum, platinum-group-minerals, sdd, sem, sem-eds
Organization: National Institute of Standards and Technology
SEM/EDS hyperspectral image dataset from the Murphy Meteorite

SEM/EDS hyperspectral image dataset from the Murphy Meteorite The Murphy Meteorite (see https://www.mindat.org/locentry-787574.html) was discovered in Murphy, Cherokee Co., North Carolina, USA in 1899. It is iron-rich. Beam Energy: 15 keV Live Time/pixel: 0.003*4.0*4.0*0.7 Probe Current: 1.04 nA

Tags: eds, epma, hyperspectrum, meteorite, murphy-meteorite, sdd, sem
Organization: National Institute of Standards and Technology
SEM/EDS hyperspectral data set from a Famatinite sample

Famatinite is a mineral with nominal chemical formula Cu3SbS4. This electron excited X-ray data set was collected from a natural flat-polished sample and the surrounding silicate mineral. Live time/pixel: 0.70*4.0*0.95*3600.0/(512*512  # 0.95 hours on 4 detectors Probe current: 1.0 nA Beam energy: 20 keV Energy scale: 10 eV/ch and 0.0 eV offset

Tags: eds, epma, famatinite, hyperspectrum, sem
Organization: National Institute of Standards and Technology
A SEM/EDS hyperspectral data set from a deep sea Mn nodule

An energy dispersive electron excited X-ray hyperspectral data set collected from a Mn deep sea nodule. Live time (per pixel): 0.72*4.0*18.0*3600.0/(1024*1024) # 18.0 hours on 4 detectors Energy scale: 10.0 eV/ch and 0.0 eV offset Take-Off Angle: 35.0 Probe Current: 1.0 nA  Beam Energy: 20.0 keV

Tags: eds, epma, hyperspectrum, manganese-nodule, mn-nodule, nexl
Organization: National Institute of Standards and Technology
Digitized boundary and scanning isotherms from "The Thermodynamics and Hysteresis of Adsorption" by A. J. Brown, PhD Dissertation, University of Bristol (UK), 1963

The dissertation "The Thermodynamics and Hysteresis of Adsorption" by A. J. Brown, contains unique measurements of adsorption/desorption isotherms of Xenon, Krypton, and Carbon Dioxide in Vycor Glass. A particular hallmark of this set of isotherms is an extensive set of scanning isotherms of Xenon at 151 K, examining numerous trajectories inside the adsorption-desorption hysteresis loop. The isotherms were provided in tabular form in appendices of the dissertation, allowing for conversion to digital files without loss of fidelity. The digital files contain the dissertation's tables verbatim, with no modification or editorial adjustments. When there are suspected data errors (primarily typographic errors, but some possible measurement errors), the digital files contain annotations that point out the possible errors and proposed editorial corrections.The isotherms are stored in self-descriptive CSV files, which can be opened and manipulated with any spreadsheet software. For ease of use, several scripts for handling and processing the isotherms are available in a GitHub repository:  https://github.com/nist-isodb/AJBrownThesisIsotherms.  The repository also includes example Jupyter Notebook sheets that demonstrate how to use the supporting software scripts.

Tags: adsorbent, adsorption, desorption, hysteresis, isotherm, scanning-isotherm, vycor
Organization: National Institute of Standards and Technology
Deterministic Move Lists for Federal Incumbent Protection in the CBRS Band

The 3.5 GHz citizens broadband radio service (CBRS) band in the U.S. is a key portion of mid-band spectrum shared between commercial operators and existing federal and non-federal incumbents. To protect the federal incumbents from harmful interference, a spectrum access system (SAS) is required to use a common, standardized algorithm, called the move list algorithm, to suspend transmissions of some CBRS devices (CBSDs) on channels in which the incumbent becomes active. However, the current reference move list implementation used for SAS testing is non-deterministic in that it uses a Monte Carlo estimate of the 95th percentile of the aggregate interference from CBSDs to the incumbent. This leads to uncertainty in move list results and in the aggregate interference check of the test. We propose to use upper and lower bounds on the aggregate interference distribution to compute deterministic move lists. These include the reference move list used by the testing system and an operational move list used by the SAS itself. We evaluate the performance of the proposed deterministic move lists using reference implementations of the standards and simulated CBSD deployments in the vicinity of federal incumbent dynamic protection areas (DPAs).  The data include numerical results of the proposed deterministic move lists for a single protection point Pensacola DPA and forty offshore DPAs along the U.S. coasts. The data is associated with the article, "Deterministic Move Lists for Federal Incumbent Protection in the CBRS Band," T. T. Nguyen and M. R. Souryal, in IEEE Transactions on Cognitive Communications and Networking, Vol. 7, No. 3, September 2021.

Tags: 3-5-ghz, aggregate-interference, citizens-broadband-radio-service, incumbent-protection, radar, spectrum-sharing, uncertainty, upper-and-lower-bounds
Organization: National Institute of Standards and Technology
2021 MML Accolades Program

The MML Accolades Program has been created to recognize exemplary work by staff, associates, and external collaborators in areas of strategic interest and benefit to MML (The Material Measurement Laboratory, an organization within NIST). With peer nominations from MML employees and associates, Accolades focus on the impact of accomplishments and outcomes of the work of individuals or teams working in or with MML. The MML Accolades program started in 2015. This dataset includes a website with all the past winners since the program's inception. There is also an attached spreadsheet for each year that lists the winners and citations for each category. Visit the MML Accolades homepage: https://www.nist.gov/mml/mml-accolades/2021-accolades

Tags: accolades, awards, mml, peer-to-peer, recognition
Organization: National Institute of Standards and Technology
Semiannual Metrics Reported to the Office of Science and Technology Policy to Demonstrate Implementation of NIST's Public Access Plan

NIST collects and reports numerous metrics semiannually to the White House Office of Science and Technology Policy to demonstrate implementation of the NIST Plan for Public Access. These metrics include: the number of NIST data management plans (internal and external); the number of datasets listed on data.gov and made public on NIST's website; datasets accessed through NIST's data discovery tool; publications available through PubMed Central (PMC) and govinfo; and publications accessed through PMC.  NISTIR 8084, which summarizes NIST's plan for providing public access is accessible via  http://dx.doi.org/10.6028/NIST.IR.8084.

Tags: metrics, oar, open-access, public-access, public-access-plan
Organization: National Institute of Standards and Technology
Simulating Photon Echoes for Quantum Memory

A Wolfram Demonstration Template has been specialized to a model of a semiclassical model of photon echoes.   An incident Gaussian pulse propagates through a material with a dielectric function in the form of a model Atomic Frequency Comb.  The output pulse is calculated for seven values of the finesse of the comb.

Tags: quantum-optics-quantum-memory-theory-simulation-photon-echoes-semiclassical-model
Organization: National Institute of Standards and Technology
Data describing an adhesive contact between a rigid spherical indenter and an elastic multi-layer coated substrate

The datasets include data used in the article "Adhesive contact between a rigid spherical indenter and an elastic multi-layer coated substrate" by Gheorghe Stan and George G Adams in the journal International Journal of Solids and Structures 87 (2016) 1-10. (https://doi.org/10.1016/j.ijsolstr.2016.02.043)

Tags: adhesion-and-adhesives, contact-mechanics, contact-radius, contact-stiffness, elastic-material, indentation, indentation-depth, integral-transforms, layered-material, load
Organization: National Institute of Standards and Technology
ANDiE: the Autonomous Neutron Diffraction Explorer.

ANDiE the Autonomous Neutron Diffraction Explorer is a tool for autonomously discovering the magnetic transition temperature and transition dynamics of a material from neutron diffraction experiments. The Jupyter notebooks used to implement ANDiE can be found here: https://github.com/usnistgov/ANDiE-v1_0 The Jupyter notebooks contained therein are of ANDiE as implemented at the WAND2 instrument at the HB-2C beamline at the High-Flux Isotope Reactor (HFIR) at Oak Ridge National Laboratory (ORNL). The outputs of the cells are consistent with the autonomous experiment run as performed on 7/24/2021 and subsequent post-processing analysis for a powder sample Fe1.09Te on WAND2. The powder diffraction data for the autonomous experiments with Fe1.09Te and MnO powder samples, as well as ad hoc collected data for Fe1.09Te are available in the "ANDiE data.zip" folder. The data is in .xye format with 'x' being the diffraction angle (2?) in degrees, 'y' being the neutron intensity, and 'e' being the error in that intensity. The "List of Experiments.csv" file provides the metadata (including the sample temperature) about each diffraction measurement in "ANDiE data.zip"  "Thermal_Outputs_run1_2021-08-02.p", "Isothermal_Outputs_run1_2021-08-02.p", and "Isothermal_1peak_Outputs_run1_2021-08-02.p" are example inference output files as generated by ANDiE for the autonomously collected data of the Fe1.09Te sample. These files are in the form of Pickled (Python 3.9) Pandas DataFrames. They are used as inputs to for the post-processing hypothesis testing step of ANDiE.

Tags: active-learning, artificial-intelligence, autonomous-experiments, machine-learning, neutron-diffraction
Organization: National Institute of Standards and Technology
Closed-loop Autonomous Materials Exploration and Optimization 1.0

Code and demonstration data for the paper, "On-the-fly closed-loop materials discovery via Bayesian active learning," Kusne, A.G., Yu, H., Wu, C. et al. Nat Commun 11, 5966 (2020). https://doi.org/10.1038/s41467-020 19597-w Code: Closed-loop autonomous materials exploration and optimization. This code is used to control an autonomous materials exploration and optimization platform. It guides subsequent experiments to learn about a material's phase map and target functional properties in a unified framework. Data: CAMEO code is demonstrated on Fe-Ga-Pd composition spread X-ray diffraction data.

Tags: autonomous, machine-learning, materials-optimization, phase-map
Organization: National Institute of Standards and Technology
Results of flow-FISH for RNA degradation

Flow cytometry measurements of FISH-labeled RNA at timepoints following rifampicin addition.  These data folders contain raw data (.fcs files), analysis files, and summary statistics ("summary.csv") for each experiment. The "v1" data represent biological replicates. The "v2" data represent technical replicates of the original sample preparations for each experiment.  Both "v2" datasets were collected on July 16, 2021.

Tags: fish, flow-cytometry, single-cell
Organization: National Institute of Standards and Technology
Modeling MCPTT and User Behavior in ns-3

This dataset contains the raw data for the paper: Garey, W.; Henderson, T.; Sun, Y.; Rouil, R. and Gamboa, S. (2021). Modeling MCPTT and User Behavior in ns-3. In Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH, ISBN 978-989-758-528-9, pages 30-41. DOI: 10.5220/0010513200300041. This includes: Figure 4 - The talk spurt and talk session duration CDF. Figure 5 -  Orchestrator pusher model example. Figure 7 - MCPTT Access Time for immediately granted requests with queuing disabled. Figure 8 - MCPTT Access Time for queued or immediately granted requests with queuing enabled. Figure 9 - Mcptt Mouth-to-Ear Latency

Tags: mcptt, mcv, mission-critical-voice, ns-3, public-safety-communication, push-to-talk, wireless-communication
Organization: National Institute of Standards and Technology