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Nexus-Experiment: an XML schema for describing data collected from electron microscopes
We share an XML Schema for describing data collected from a laboratory experiment in an organized way that attempts to communicate scientific intent and the phased process of data creation. It was developed as part of laboratory information management system (LIMS) prototyping effort by a collaboration at NIST between the NEXUS Microscopy facility (managed within the Materials Science and Engineering Division) and the Material Measurement Lab's Office of Data and Informatics. When a facility user reserves and then operates one of the facility microscopes, the LIMS system automatically gathers metadata from the reservation calendar, the files created by the instrument, and potentially other sources and organizes them into an XML document describing what was done. The system uses the NIST Configurable Data Curation System (CDCS) to display the document as a scientist-oriented summary of the microscopy experiment. The schema is fairly general and free of specifics tied to microscopy (apart perhaps from a reference to samples). This schema is expected to be a useful prototype not only across LIMS efforts within NIST but possibly more broadly across the global microscopy research community. The XML schema is fully documented internally, including definitions of all elements and types.
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Nexus-Experiment: an XML schema for describing data collected from electron microscopes
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We share an XML Schema for describing data collected from a laboratory experiment in an organized way that attempts to communicate scientific intent and the phased process of data creation. It was developed as part of laboratory information management system (LIMS) prototyping effort by a collaboration at NIST between the NEXUS Microscopy facility (managed within the Materials Science and Engineering Division) and the Material Measurement Lab's Office of Data and Informatics. When a facility user reserves and then operates one of the facility microscopes, the LIMS system automatically gathers metadata from the reservation calendar, the files created by the instrument, and potentially other sources and organizes them into an XML document describing what was done. The system uses the NIST Configurable Data Curation System (CDCS) to display the document as a scientist-oriented summary of the microscopy experiment. The schema is fairly general and free of specifics tied to microscopy (apart perhaps from a reference to samples). This schema is expected to be a useful prototype not only across LIMS efforts within NIST but possibly more broadly across the global microscopy research community. The XML schema is fully documented internally, including definitions of all elements and types.
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.
Additive Manufacturing Benchmark 2022 Schema
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This resource is the implementation in XML Schema [1] of a data model that describes the Additive Manufacturing Benchmark 2022 series data. It provides a robust set of metadata for the build processes and their resulting specimens and for measurements made on these in the context of the AM Bench 2022 project.The schema was designed to support typical science questions which users of a database with metadata about the AM Bench results might wish to pose. The metadata include identifiers assigned to build products, derived specimens, and measurements; links to relevant journal publications, documents, and illustrations; provenance of specimens such as source materials and details of the build process; measurement geometry, instruments and other configurations used in measurements; and access information to raw and processed data as well as analysis descriptions of these datasets.This data model is an abstraction of these metadata, designed using the concepts of inheritance, normalization, and reusability of an object oriented language for ease of extensibility and maintenance. It is simple to incorporate new metadata as needed.A CDCS [2] database at NIST was filled with metadata provided by the contributors to the AM Bench project. They entered values for the metadata fields for an AM Bench measurement, specimen or build process in tabular spreadsheets. These entries were translated to XML documents compliant with the schema using a set of python scripts. The generated XML documents were loaded into the database with a persistent identifier (PID) assigned by the database.[1] https://www.w3.org/XML/Schema[2] https://www.nist.gov/itl/ssd/information-systems-group/configurable-data-curation-system-cdcs/about-cdcs
Mikrostyk S.A. - Prace badawczo-rozwojowe nad opracowaniem samo-korygującej się prostowarki część 1
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,W okresie od lipca 2018 do września 2021 w Mikrostyk SA realizowany był projekt badawczo – rozwojowy dofinansowany z funduszy europejskich w ramach programu operacyjnego Inteligentny Rozwój. Rolę instytucji pośredniczącej pełniło Narodowe Centrum Badań i Rozwoju. Celem projektu było opracowanie innowacyjnego procesu prostowania taśm, przy wykorzystaniu prostowarki dedykowany branży obróbki plastycznej metali.Zbiór danych zawiera wyniki badań przemysłowych nad możliwością eliminacji wibracji taśmy podczas pomiaru jej płaskości.,
Towards a Structured Evaluation Methodology for Artificial Intelligence Technology (SEMAIT) MIg analyZeR (mizr) Package
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Our work towards a Structured Evaluation Methodology for Artificial Intelligence Technology (SEMAIT) aims to provide plots, tools, methods, and strategies to extract insights out of various machine learning (ML) and Artificial Intelligence (AI) data.Included in this software is the MIg analyZeR (mizr) R software package that produces various plots. It was initially developed within the Multimodal Information Group (MIG) at the National Institute of Standards and Technology (NIST).This software is documented, configured to be installed as an R package, and comes with an example SEMAIT script with an example (system, dataset, metrics, score) ML tuple set that we constructed ourselves.
Mikrostyk S.A. - Prace badawczo-rozwojowe nad opracowaniem samo-korygującej się prostowarki część 3
공공데이터포털
,W okresie od lipca 2018 do września 2021 w Mikrostyk SA realizowany był projekt badawczo – rozwojowy PROJEKT NR POIR.01.01.01-1000/17 dofinansowany z funduszy europejskich w ramach programu operacyjnego Inteligentny Rozwój. Rolę instytucji pośredniczącej pełniło Narodowe Centrum Badań i Rozwoju. Celem projektu było opracowanie innowacyjnego procesu prostowania taśm, przy wykorzystaniu prostowarki dedykowany branży obróbki plastycznej metali.Zbiór danych zawiera wyniki badań przemysłowych nad możliwością eliminacji wibracji taśmy podczas pomiaru jej płaskości.,
Mikrostyk S.A. - Prace badawczo-rozwojowe nad opracowaniem samo-korygującej się prostowarki część 2
공공데이터포털
,W okresie od lipca 2018 do września 2021 w Mikrostyk SA realizowany był projekt badawczo – rozwojowy PROJEKT NR POIR.01.01.01-1000/17 dofinansowany z funduszy europejskich w ramach programu operacyjnego Inteligentny Rozwój. Rolę instytucji pośredniczącej pełniło Narodowe Centrum Badań i Rozwoju. Celem projektu było opracowanie innowacyjnego procesu prostowania taśm, przy wykorzystaniu prostowarki dedykowany branży obróbki plastycznej metali.Zbiór danych zawiera wyniki badań przemysłowych nad możliwością eliminacji wibracji taśmy podczas pomiaru jej płaskości.,