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FCpy: Feldman-Cousins Confidence Interval Calculator
Data provided by National Institute of Standards and Technology
Python scripts and Python+Qt graphical user interface for calculating Feldman-Cousins confidence intervals for low-count Poisson processes in the presence of a known background and for Gaussian processes with a physical lower limit of 0.
Tags: python,SIMS,statistics,mass spectrometry,Confidence Interval,CI,Feldman,Cousins,Poisson,Gaussian,
Modified: 2024-02-22
Views: 0
In Situ Carbon Dioxide, Methane, and Carbon Monoxide Mole Fractions from the Los Angeles Megacity Carbon Project
Data provided by National Institute of Standards and Technology
Hourly observations of carbon dioxide (CO2) and methane (CH4) mole fractions in dry air from tower- and rooftop-based sites in the Los Angeles Megacity Carbon Project network (currently 11 stations, with a 12th to be added in 2022). Carbon monoxide (CO) observations exist at several stations in this network but are not included in this data release pending additional calibration verification. Please contact the authors for higher frequency data, which are available on request. Data files are comma delimited (CSV).
Tags: greenhouse gases,GHG Measurements,Urban Emissions Modeling,carbon dioxide,methane,
Modified: 2024-02-22
Views: 0
Air-broadening in near-infrared carbon dioxide line shapes: quantifying contributions from O2, N2, and Ar
Data provided by National Institute of Standards and Technology
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: spectroscopy,higher order lineshapes,carbon dioxide,
Modified: 2024-02-22
Views: 0
High accuracy spectroscopic parameters of the 1.27 um band of O2 measured with comb-referenced, cavity ring-down spectroscopy
Data provided by National Institute of Standards and Technology
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: greenhouse gases,carbon dioxide,oceans,ph,marine mammals,remote sensing,seabirds,Environment and Climate,
Modified: 2024-02-22
Views: 0
Dataset of channels and received IEEE 802.11ay signals for sensing applications in the 60GHz band
Data provided by National Institute of Standards and Technology
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.
Tags: Sensing,communication,millimeter wave,dataset,machine learning,deep learning,channel model,IEEE 802.11ay,IEEE 802.11bf,
Modified: 2024-02-22
Views: 0
SRM 2969 Vitamin D Metabolites in Frozen Human Serum (Total 25-Hydroxyvitamin D Low Level) Data
Data provided by National Institute of Standards and Technology
SRM 2969 Electronic files containing certified values and their uncertainties, and the data used to assign those values
Tags: vitamin D,25-hydroxyvitamin D,serum,mass spectrometry,
Modified: 2024-02-22
Views: 0
SRM 2970 Vitamin D Metabolites in Frozen Human Serum (25-Hydroxyvitamin D2 High Level) Data
Data provided by National Institute of Standards and Technology
Electronic files containing certified values and their uncertainties, and the data used to assign those values.
Tags: vitamin D,25-hydroxyvitamin D,serum,mass spectrometry,
Modified: 2024-02-22
Views: 0
**SUPERSEDED** Software and Data for Modeling OFDM Communication Signals with Generative Adversarial Networks
Data provided by National Institute of Standards and Technology
This software and data have been superseded. Please visit https://doi.org/10.18434/mds2-2532
Tags: generative adversarial network,machine learning,wireless communications,
Modified: 2024-02-22
Views: 0
Data Supporting "Seabird Tissue Archival and Monitoring Project (STAMP) Data from 1999-2010"
Data provided by National Institute of Standards and Technology
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: NIST Biorepository,eggs,tissues,BDEs,PBDEs,PCBs,Pesticides,mercury,trace elements,heavy metals,organic,inorganic,chemistry,stable isotopes,genetics,Environment and Climate,chemometric,machine learning,ML,seabird,bird,Pacific Ocean,
Modified: 2024-02-22
Views: 0
ANDiE: the Autonomous Neutron Diffraction Explorer.
Data provided by National Institute of Standards and Technology
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).
Tags: Autonomous Experiments,neutron diffraction,machine learning,Active Learning,Artificial Intelligence,
Modified: 2024-02-22
Views: 0