AndreaBozzo/ceres-open-data-index huggingface dataset:
The NIST Scan Framework for ARTIQ

The NIST scan framework is a framework that greatly simplifies the process of writing and maintaining scans of experimental parameters using the ARTIQ control system and language.  The framework adopts the philosophy of convention over configuration where datasets are stored for analysis and plotting in a standard directory structure. The framework provides a number of useful features such as automatic calculation of statistics, fitting, validation of fits, and plotting that do not need to be performed by the user.  This reduces the size and complexity of scan experiments to make them fast to implement, easy to read, and easy to maintain.

Tags: artiq, python, scans
Organization: National Institute of Standards and Technology
Data Supporting "Seabird Tissue Archival and Monitoring Project (STAMP) Data from 1999-2010"

Here we provide curated analytical chemistry data for eggs collected from 1999 to 2010 on a subset of species and analytes that were measured regularly and reasonably systematically. Included in this publication are 487 samples analyzed for 174 ubiquitous environmental contaminants such as (poly)brominated diphenyl ethers (BDEs), mercury, organochlorine pesticides (OCPs), and polychlorinated biphenyls (PCBs). Data were collated to form a dataset useful in chemometric and related analyses of the marine ecosystem in the north Pacific Ocean.

Tags: bdes, bird, chemistry, chemometric, eggs, environment-and-climate, genetics, heavy-metals, inorganic, machine-learning, mercury, ml, nist-biorepository, organic, pacific-ocean, pbdes, pcbs, pesticides, seabird, stable-isotopes, tissues, trace-elements
Organization: National Institute of Standards and Technology
Exoskeleton Performance Data

The National Institute of Standards and Technology, Intelligent Systems Division has collected data measuring human subjects, while performing common, simulated industrial manufacturing tasks with and without wearing an exoskeleton. Five tests were completed as part of a research study to develop measurement science towards standard test methods. For simulated industrial manufacturing tasks were performed using a novel, now standardized apparatus, called the Position and Load Test Apparatus for Exoskeletons (PoLoTAE). In addition, a set of novel optical tracking marker artifacts were worn by the subject for synchronous tracking of exoskeleton and human leg position and orientation. The standard test artifacts were intended to address the challenges of measurement uncertainty variation between different marker clusters and marker movement on soft tissue and marker occlusion when using traditional bio-mechanical marker models while wearing an exoskeleton. The PoLoTAE tests simulated generic industrial tasks (load positioning, load alignment, peg-in-hole, applied force). The knee bend tests were performed to synchronously track the exoskeleton and human lower limb position and orientation for analysis such as comparing the exoskeleton fit to the subjectâs leg.Overall, the tests included 116 subjects of which 68 subjects (59% of total subjects) consented to publication of their raw test data described in this paper.  While some subjects performed more than one test, at least 30 subjects performed each of the five tests totaling 158 tests performed. To date, aggregate data for the load positioning and knee bend tests have been analyzed and are referenced in this paper. Sensor data was collected from each subject, which included: repetition number, heart rate, videos, skeletal joint pose estimation, and survey data.

Tags: exoskeleton, exosuits-research, manufacturing, robotics, standard-test-methods
Organization: National Institute of Standards and Technology
Templates for the Implementation of DART-MS for Seized Drug Analysis

This dataset includes templates to assist with laboratory implementation of direct analysis in real time mass spectrometry (DART-MS) for seized drug analysis. These templates should be modified as necessary to meet the needs of the particular laboratory. Certain commercial equipment, instruments, or materials are identified in this paper in order to specify the experimental procedure adequately.  Such identification is not intended to imply recommendation or endorsement by NIST, nor is it intended to imply that the materials or equipment identified are necessarily the best available for the purpose. These opinions, recommendations, findings, and conclusions do not necessarily reflect the views or policies of NIST or the United States Government.

Tags: dart-ms, forensics, implementation, seized-drug, validation
Organization: National Institute of Standards and Technology
AbsorbanceQ  App for Generating Absorbance Images from Brightfield Image Captures

This page hosts the AbsorbanceQ app which generates absorbance images from brightfield image captures. Absorbance microscopy can be used to make trypan blue cell viability measurements more quantitative and traceable by measuring the moles of trypan blue in each dead cell. AbsorbanceQ was written in MATLAB and can be downloaded as a .zip file.  When unzipped, the program will be installed and can run as a standalone .exe file with no dependencies beyond the operating system. This website includes images that can be downloaded to validate that AbsorbanceQ is functioning properly. References: [1] Babakhanova G,  Zimmerman SM,  Pierce LT,  Sarkar S,  Schaub NJ, Simon Jr CG (2021) Quantitative, Traceable Determination of Cell Viability Using Absorbance Microscopy, in press. [2] Babakhanova G, Zimmerman SM, Pierce LT, Sarkar S, Schaub NJ, Simon Jr CG (2021), Dataset for Absorbance Microscopy for Quantitative and Traceable Trypan Blue Cell Viability Measurement, National Institute of Standards and Technology, https://doi.org/10.18434/mds2-2347. [3] Zimmerman SM,  Simon Jr CG, Babakhanova G (2021) AbsorbanceQ: An App for Generating Absorbance Images from Brightfield Images. J Res Natl Inst Stan 126:126039, https://doi.org/10.6028/jres.126.039.

Tags: absorbance-imaging, absorbanceq, cell-viability, regenerative-medicine, trypan-blue
Organization: National Institute of Standards and Technology
ThermoML/Data Archive

ThermoML is an XML-based IUPAC standard for the storage and exchange of experimental thermophysical and thermochemical property data. The ThermoML archive is a subset of Thermodynamics Research Center (TRC) data holdings corresponding to cooperation between NIST TRC and five journals: Journal of Chemical Engineering and Data (ISSN: 1520-5134), The Journal of Chemical Thermodynamics (ISSN: 1096-3626), Fluid Phase Equilibria (ISSN: 0378-3812), Thermochimica Acta (ISSN: 0040-6031), and International Journal of Thermophysics (ISSN: 1572-9567). Data from initial cooperation (around 2003) through the 2019 calendar year are included.  The original scope of the archive has been expanded to include JSON files. The JSON files are structured according to the ThermoML.xsd (available below) and rendered from the same experimental thermophysical and thermochemical property data reported in the corresponding articles as the ThermoML files. In fact, the ThermoML files are generated from the JSON files to keep the information in sync. The JSON files may contain additional information not supported by the ThermoML schema. For example, each JSON file contains the md5 checksum on the ThermoML file (THERMOML_MD5_CHECKSUM) that may be used to validate the ThermoML download. This data.nist.gov resource provides a .tgz file download containing the JSON and ThermoML files for each version of the archive.  Data from initial cooperation (around 2003) through the 2019 calendar year are provided below (ThermoML.v2020-09.30.tgz).  The date of the extraction from TRC databases, as specified in the dateCit field of the xml files, are 2020-09-29 and 2020-09-30.  The .tgz file contains a directory tree that maps to the DOI prefix/suffix of the entries; e.g. unzipping the .tgz file creates a directory for each of the prefixes ( 10.1007, 10.1016, and 10.1021) that contains all the .json and .xml files. The data and other information throughout this digital resource (including the website, API, JSON, and ThermoML files) have been carefully extracted from the original articles by NIST/TRC personnel. Neither the Journal publisher, nor its editors, nor NIST/TRC warrant or represent, expressly or implied, the correctness or accuracy of the content of information contained throughout this digital resource, nor its fitness for any use or for any purpose, nor can they, or will they, accept any liability or responsibility whatever for the consequences of its use or misuse by anyone. In any individual case of application, the respective user must check the correctness by consulting other relevant sources of information.

Tags: json, thermochemical-properties, thermoml, thermophysical-properties
Organization: National Institute of Standards and Technology
Dataset of channels and received IEEE 802.11ay signals for sensing applications in the 60GHz band

The dataset can be used to develop and test algorithms for communication and sensing in the 60GHz band. The dataset consists of synthetically generated indoor mm-wave channels between a MIMO transmitter and a MIMO receivers. Multiple targets are moving in the room.  Number of targets, velocity of each target and trajectory are randomized across the dataset.  The dataset contains also noisy received IEEE 802.11ay channel estimation fields. The dataset is suitable for development and testing of machine/deep learning algorithms.  The dataset can be used to participate to the ITU AI/ML 5G Challenge. For information on the challenge and registration, please refer to: https://challenge.aiforgood.itu.int/match/matchitem/38. The challenge dataset relies on the open-source software available at: https://github.com/usnistgov/PS-002-WALDO.

Tags: channel-model, communication, dataset, deep-learning, ieee-802-11ay, ieee-802-11bf, machine-learning, millimeter-wave, sensing
Organization: National Institute of Standards and Technology
Automated Streams Analysis for Public Safety (ASAPS) Dataset (v0.75)

The ASAPS Dataset includes eight continuous hours of data from across a fictitious ASAPS City representative of a normal day in a small city. The dataset includes multiple data types - video, audio, text, sensor, social media. The video data was created from a series of staged events, and then synchronized and augmented with recorded audio, simulated data for sensor, text, and social media related to the variety of emergency events across the city. The dataset represents a geographic area of approximately 68 square blocks. All of the GPS coordinates represent a fictitious location which includes 390 buildings and parks, each with an identity/name, street address, and latitude/longitude location. The first-of-its-kind dataset combines video recordings of staged emergencies with scripted audio and textual public safety communications and simulated Computer Aided Dispatch and gunshot sensor data.  It was constructed to represent a continuous eight-hour snapshot of the emergencies happening during the day in a small city and includes 45 time-synchronized data streams. No actual emergencies occur in the data and it includes only simulated data and audio and video recordings of consenting subjects who participated as actors in the staging of the data. The subjects agreed to their video and audio being recorded and distributed to support open research in automated emergency analysis in a formal data collection consent process. The ASAPS Dataset was created by the Lafayette Group INC under contract award #GS-23F-0134N on behalf of NIST PSCR. The data collection protocol was reviewed and approved in April 2020 by the New England Institutional Review Board (NEIRB) in accordance with 45 CFR 46, the Protection of Human Subjects and by the NIST Research Protections Office in accordance with 15 CFR 27.112, Review by Institution. The data is organized and annotated to be used for R&D in automated emergency event analysis and its use is restricted to the terms and conditions of the data use agreement. The ASAPS Dataset is available to Data Recipients by registering for an account via the ASAPS Dataset website (https://asapsdata.nist.gov).

Tags: advanced-information-visualization, and-user-experience, artificial-intelligence-technologies, communications, communications-systems-of-the-future, data-interface, data-optimization, decision-management, emergency-event-detection, heterogenous-data-analysis, multimodal-information-analysis-and-visualization, public-safety-operations, real-time-analytics, real-time-computing, resource-deployment, situation-awareness, state-of-the-art-artificial-intelligence, streaming-data, ui-ux, user-interface
Organization: National Institute of Standards and Technology
Supporting Data for Method Assessment for Non-Targeted Analyses (MANTA) Program: Interlaboratory Study 1 Results

Supporting data for the results of Interlaboratory 1 of the Method Assessment for Non-Targeted Analyses. The datasets include the chemical compound descriptions, laboratory mean responses, and the tools for the principal components analysis of the datasets. In addition, a Microsoft Excel file, which was given to all participants, allowed for the analysis of the metadata.

Tags: non-targeted-analysis-environmental-analysis-metabolomics-data-analysis
Organization: National Institute of Standards and Technology
Open Media Forensics Challenge (OpenMFC) Evaluation Datasets

The datasets contain the following parts for Open Media Forensics Challenge (OpenMFC) evaluations:1. NC16 Kickoff dataset2. NC17 development and evaluation datasets3. MFC18 development and evaluation datasets4. MFC19 development and evaluation datasets5. MFC20 development and evaluation datasets6. OpenMFC2022 steg datasets7. OpenMFC2022 deepfake datasets

Tags: open-media-forensics-challenge-openmfc-media-forensics-challenge-mfc-nimble-challenge-nc-deepfa
Organization: National Institute of Standards and Technology
Frequency stabilization of a quantum cascade laser by weak resonant feedback from a Fabry-Perot cavity

Data from peer-reviewed publication:  G. Zhao et al., Frequency stabilization of a quantum cascade laser by weak resonant feedback from a Fabry-Perot cavity, Optics Letters. Frequency-stabilized mid-infrared lasers are valuable tools for precision molecular spectroscopy. However, their implementation remains limited by complicated stabilization schemes. Here we achieve optical self-locking of a quantum cascade laser to the resonant leak-out field of a highly mode-matched two-mirror cavity. The result is a simple approach to achieving ultra-pure frequencies from high-powered mid-infrared lasers. For short time scales (<0.1 ms), we report a linewidth reduction factor of 3×10^(-6) to a linewidth of 12 Hz. Furthermore, we demonstrate two-photon cavity-enhanced absorption spectroscopy of an N2O overtone transition near a wavelength of 4.53 um.

Tags: diode-lasers, environment-and-climate, greenhouse-gases, laser-metrology, laser-stabilization, marine-mammals, nitrous-oxide, oceans, optical-resonators, ph, quantum-cascade-lasers, remote-sensing, seabirds, two-photon-absorption
Organization: National Institute of Standards and Technology
Air-broadening in near-infrared carbon dioxide line shapes: quantifying contributions from O2, N2, and Ar

Dataset for generation of figures in Air-broadening in near-infrared carbon dioxide line shapes: quantifying contributions from O2, N2, and Ar (https://doi.org/10.1016/j.jqsrt.2021.107669)

Tags: carbon-dioxide, higher-order-lineshapes, spectroscopy
Organization: National Institute of Standards and Technology
Near-infrared cavity ring-down spectroscopy measurements of nitrous oxide in the (4200)?(0000) and (5000)?(0000) bands

Data for generation of figures in "Near-infrared cavity ring-down spectroscopy measurements of nitrous oxide in the (4200)<-(0000) and (5000),<-(0000) bands" DOI: https://doi.org/10.1016/j.jqsrt.2021.107527

Tags: advanced-spectroscopic-line-shapes, nitrous-oxide-cavity-ring-down-spectroscopy
Organization: National Institute of Standards and Technology
Supporting information to accompany: Accelerating Iterative Equation of State Calculations With Superancillary Phase Boundaries

This record contains a Python script that was used to generate the phase boundaries with superancillary Chebyshev expansion curves.  Running the script in Python 3.8 will output the figures and results from the paper. This paper was presented at the ORC 2021 conference in Munich, Germany, paper # 141. Requirements: conda/pip: numpy, scipy, matplotlib, pandas. pip: CoolProp, ChebTools

Tags: chebyshev, equation-of-state, numerical-approximation
Organization: National Institute of Standards and Technology
Atomic Model Structure of Intact Monoclonal Antibody Reference Material 8671 (NISTmAb)

As monoclonal antibodies have become a vital resource in medicine, knowledge of their complex molecular structures has increased in importance. Thousands of Fab and Fc fragments are described in the Protein Data Bank. Whole antibodies have been imaged by EM methods and in a few cases, crystallized. The central hinge lacks a unique stable conformation and its dynamic properties are important to antibody function. Monte Carlo and molecular dynamics simulations and small-angle scattering  methods have been used to analyze the wide range of configurations that are accessible to antibodies in solution. In order to support the development of antibody-based medicines, the National Institute of Standards and Technology (NIST) has released an extensively characterized IgG1 mAb, called Reference Material 8671 or NISTmAb1. To facilitate modeling of whole antibodies we now report the construction of an all-atom 3-D model of RM 8671. Atomic model structure of the intact monoclonal antibody Reference Material 8671 (NISTmAb), including PDBv3 formatted file containing coordinates for each atom in x, y, z format and the FASTA formatted file containing the primary sequence.

Tags: intact-antibody, molecular-model, nistmab, rm8671
Organization: National Institute of Standards and Technology
High accuracy spectroscopic parameters of the 1.27 um band of O2 measured with comb-referenced, cavity ring-down spectroscopy

Data corresponding to Figs. 2,3,5,6,11,12,13,14 for Fleurbaey et al J. Quant Spectrosc. Radiat. Transf. vol 270, 107684 (2021). doi.org.10.1016/j.jqsrt.2021.107684

Tags: carbon-dioxide, environment-and-climate, greenhouse-gases, marine-mammals, oceans, ph, remote-sensing, seabirds
Organization: National Institute of Standards and Technology
Uplink IQ Recordings

This data is provided as a supplement to NIST Technical Note 2159 Laboratory Method for Recording AWS-3 LTE Waveforms available at https://doi.org/10.6028/NIST.TN.2159. In particular, the data provided here are a compressed version of all the IQ recordings discussed in the report, with diagnostic information. The data is structured as a compressed archive, Data.zip, for each experimental configuration and capture repeat, resulting in 112 compressed archives organized by directory structure. The compressed archive, Data.zip, contains six files: IQ.csv, configuration.csv, diagnostic.csv, UE_diagnostic_spectrogram.csv, IQ_spectrogram.csv and IQ_spectrogram.png. - IQ.csv Description: Measured IQ at a sampling rate of 61.44 MS / s Contents: I and Q as signed integers, relative units- configuration.csv Description: The experimental configuration under which the IQ recording was made. Corresponds to a row in Table 4.1: Test Configurations of the technote. Contents: Scheduler_Awareness, Scheduler_Allocation, PowerControl_PUSCH, PowerControl_PUCCH,Scheduler_RBMask, P0_PUSCH, P0_PUCCH, alpha, UTG_NumUEs, UTG_ULRate, UTG_TrafficType, UTG_UERSRP, DUT_UE_ULRate, DUT_UE_TrafficType, UT_UE2_ULRate, DUT_UE2_TrafficType - diagnostic.csv Description: UE Diagnostic information with a time-axis in ms based on system subframes. Contents: Elapsed time (ms), Total Tx Power (dBm), Resource Block Start, Number of Resource Blocks, MCS Index - UE_diagnostic_spectrogram.csv Description: The UE diagnostic report of power and resource block allocation organized into physical resource blocks with a time-axis in ms based on system subframes. Contents: Elapsed time (ms),  0 ? max physical resource blocks in shared channel with a power in mw. - IQ_spectrogram.csv Description: IQ data organized into physical resource blocks with a time axis aligned to the diagnostic information. Contents:  Elapsed time (ms),  0 ? 199 resource blocks with a relative power.  - IQ_spectrogram.png Description: Plot of 140 ms of spectrogram, max relative power versus frequency and mean relative power, corresponds to appendix B of technote.   Contents: Single image

Tags: nasctn, receiver-testing, spectrum-sharing
Organization: National Institute of Standards and Technology
Supporting information to accompany: Super-Ancillary Equations for Cubic Equations of State

Supplementary files to accompany the the paper "Super-Ancillary Equations for Cubic Equations of State" of Ian Bell and Ulrich Deiters in Ind. Eng. Chem. Res. Abstract: Calculation of thermodynamic phase equilibrium is error-prone and can fail both near the critical point and at very low temperatures due to the limited precision available in double precision arithmetic. Most importantly, these calculations frequently represent a computational bottleneck. In this work we extend the "super-ancillary" equation approach developed for reference multiparameter equations of state to classical cubic equations of state (van der Waals, Redlich-Kwong-Soave, Peng-Robinson). Iterative calculations in double precision are replaced by non-iterative evaluation of pre-built Chebyshev expansions constructed with extended precision arithmetic. Exact solutions for the equation of state constants are given. The Chebyshev expansions are shown to reproduce the equation of state values to within nearly double precision (aside from in the very near vicinity of the critical point) and are more than 40 times faster to evaluate than the VLE calculations from the fastest computational library. In this way we further expand the domains in which iterative calculations for pure fluid phase equilibria may be rendered obsolete. A C++ header implementing these expansions (and with no external dependencies) is provided as supplemental information. Contact Ian Bell (ian.bell@nist.gov) for more information about this paper and/or the supporting information

Tags: chebyshev-approximation, equation-of-state, numerical-approximation
Organization: National Institute of Standards and Technology
UE-to-Network Relay Model B Discovery in ProSe-Enabled LTE Networks

This dataset contains the numerical results presented on the NIST technical note 2149 entitled "UE-to-Network Relay Model B Discovery in ProSe-Enabled LTE Networks", which is available in https://doi.org/10.6028/NIST.TN.2149. The technical note develops an analytical model for the metric "average number of discovery periods needed by a Remote UE to discover a given Relay UE", depending on different system parameters such as the number of Relay UEs in the system (Ny), the number of Remote UEs in the system (Nx), and the discovery pool configuration which includes the value of the discovery message transmission probability (txProbability).  The analytical model is then validated using ns-3 system level simulations, and results using both approaches are presented in the numerical results section of the technical note. A README is also included in the dataset with a more comprehensive description of the data format and included files.

Tags: d2d, device-to-device, direct-discovery, lte, prose, public-safety-communication, ue-to-network-relay, wireless-communication
Organization: National Institute of Standards and Technology