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NeXLMatrixCorrection.jl - A library implementing algorithms related to matrix correction of electron excited X-ray spectra
A library implementing basic matrix correction algorithms, iteration algorithms and other quantitative correction algorithms related to estimating the composition from X-ray intensity data. Includes implementations of various common matrix correction algorithms for bulk samples and provides a framework for additional algorithms to be added.
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NexusLIMS: a Python Package for EM Experiment Metadata Management
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This code repository contains the "back-end" of the Nexus Microscopy Facility Laboratory Information Management System (NexusLIMS), developed by the NIST Office of Data and Informatics. Its primary function is to build XML-formatted research experiment records by combining metadata from many different sources (reservation systems, the collected data files, a session logger, etc.). These records are structured according to the "Nexus Experiment" schema, meaning they can be loaded into a repository and used for structured data queries.
NexusLIMS: a Python Package for EM Experiment Metadata Management
공공데이터포털
This code repository contains the "back-end" of the Nexus Microscopy Facility Laboratory Information Management System (NexusLIMS), developed by the NIST Office of Data and Informatics. Its primary function is to build XML-formatted research experiment records by combining metadata from many different sources (reservation systems, the collected data files, a session logger, etc.). These records are structured according to the "Nexus Experiment" schema, meaning they can be loaded into a repository and used for structured data queries.
Multi-spectrum Analysis Tool for Spectroscopy (MATS)
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The purpose of the MATS project is to develop a NIST-based multi-spectrum fitting tool for spectroscopic data that allows the flexibility to test and adapt to experimental/data-driven needs. This software allows for the use of several commonly used spectroscopic line profiles (Voigt, Nelkin-Ghatak, speed-dependent Voigt, speed-dependent Nelkin-Ghatak, and Hartmann-Tran) and allows for pressure, temperature, and composition constraints to be imposed on solutions. In addition to fitting experimental spectra, MATS can generate simulated spectra, which allows for its use as an error analysis tool. The tool uses existing python applications such as the HITRAN Application Programming Interface (HAPI) and LMFit as the engine for spectral fitting.
KRLX NEXRAD IMPACTS V1
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The KRLX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.
Code used to produce terms list in the work "NLP-Driven Electron Microscopy Ontology Development"
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This is a collection of code written by Maurice Curran that was used to process the Microscopy and Microanalysis conference proceeding corpus into word products described in the publication "NLP-Driven Electron Microscopy Ontology Development". The scripts are written in Python, to be used in the following order:1. SettingUpTextFiles.py and CopyingText.py to get the raw text files; 2. SentenceConversion.py; 3. reference_remover.py; 4. testing.py and testingavg.py; 5. SentenceCreator.py; 6. matscholar_model.py to get matscholar tags; 7. training_model_gensim.py to get gensim model;8. word2vecscript.py and gensim_visual.py;
KDOX NEXRAD IMPACTS V1
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The KDOX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. This Level II dataset contains meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.
KLWX NEXRAD IMPACTS V1
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The KLWX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. This Level II dataset contains meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.