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;

NLP-Driven Microscopy Ontology Development - Raw data DOIs

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This dataset contains the DOIs of the corpus, used for the natural language processing analysis described in the article of the same title. The DOIs all point to articles published in the Microscopy and Microanalysis conference proceeding, spanning 2002 through 2019.

NLP-Driven Microscopy Ontology Development - Raw data DOIs

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This dataset contains the DOIs of the corpus, used for the natural language processing analysis described in the article of the same title. The DOIs all point to articles published in the Microscopy and Microanalysis conference proceeding, spanning 2002 through 2019.

HCPCS

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Ontology for use in Phenotyping Natural Language Processing (NLP)

RxNorm

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Ontology for use in Phenotyping Natural Language Processing (NLP)

DSM5-ICD10

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Ontology for use in Phenotyping Natural Language Processing (NLP)

Anastrepha ludens genome assembly scripts

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,The data in this repository is to provide the scripts used in the assembly of the Anastrepha ludens genome. It can be used to replicate the steps necessary to assemble the genome described in National Center for Biotechnology Information (NCBI) BioProject: PRJNA803324. This genome assembly workflow was performed on the United States Department of Agriculture (USDA) - SCINet/Mississippi State University High Performance Computing Cluster (HPC) Atlas and installed via Conda.,,

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.

NeXLMatrixCorrection.jl - A library implementing algorithms related to matrix correction of electron excited X-ray spectra

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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.