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A Synthetic Methodology for Preparing Impregnated and Grafted Amine-Based Silica-Composites for Carbon Capture
Data provided by National Institute of Standards and Technology
The database includes thermal data analysis for silica-composites that conclude the loading amount of amine adsorbents of each composite as well as each specimen's ability to adsorb CO2. The data repository includes raw data files for: thermogravimetric analysis (TGA) weight loss and CO2 adsorption traces, and Fourier Transform Infrared Spectroscopy (FTIR) spectra?s. For more information see the readme and data documentation. A complete manuscript describing data collection, analysis, and database documentation is to be published. File formats for data include: .txt and .csv.
Tags: FTIR,thermal analysis,DSC,TGA,optical microscopy,Advanced Materials,direct air capture materials,
Modified: 2024-02-22
Views: 0
RGTM 10169
Data provided by National Institute of Standards and Technology
NIST developed a reference material consisting of synthetic fragments of the SARS-CoV-2 virus RNA, which is the target of molecular diagnostic tests. These RNA fragments can assist in the development and validation of RT-qPCR assays for the detection SARS-CoV-2. The RNA fragments are characterized for concentration using digital PCR methods, may be used to assess limits of detection for SARS-CoV-2 assays, and may calibrate other in-house or commercial SARS-CoV-2 controls. This dataset includes data used for RTGM 10169 SARs-Cov-2 Research Grade Test Material validation.
Tags: virus,SRM,reference material,DNA,sequencing,PCR,digital PCR,Biosciences and Health,
Modified: 2024-02-22
Views: 0
Thermal Conductivity of Binary Mixtures of 1,1,1,2-Tetrafluoroethane(R-134a), 2,3,3,3-Tetrafluoropropene (R-1234yf), and trans-1,3,3,3-Tetrafluoropropene (R-1234ze(E)) Refrigerants
Data provided by National Institute of Standards and Technology
Workflow: The data that falls into this category are gathered from a measurement program and are published in the archival literature.
Tags: Advanced Materials,Energy,Environment and Climate,Physical Infrastructure,Safety,Security and Forensics,
Modified: 2024-02-22
Views: 0
Speed of Sound Measurements of Binary Mixtures of Difluoromethane (R-32) with 2,3,3,3-Tetrafluoropropene (R-1234yf) or trans-1,3,3,3-Tetrafluoropropene (R-1234ze(E)) Refrigerants
Data provided by National Institute of Standards and Technology
Speed of Sound Measurements of Binary Mixtures of Difluoromethane (R-32) with 2,3,3,3-Tetrafluoropropene (R-1234yf) or trans-1,3,3,3-Tetrafluoropropene (R-1234ze(E)) Refrigerants
Tags: Advanced Materials,Energy,Environment and Climate,Physical Infrastructure,Safety,Security and Forensics,
Modified: 2024-02-22
Views: 0
4D-STEM characterization results from a thermal annealing series of poly(3[2-(2-methoxyethoxy)ethoxy]-methylthiophene-2,5-diyl) organic electrochemical transistor films
Data provided by National Institute of Standards and Technology
This repository contains two types of datasets: 4D-STEM data collected from a thermal annealing series of P3MEEMT films. 4D-STEM data:Dose series: Collected from P3MEEMT film annealed at 115 C. Each HDF5 file was generated from the raw data using the fpdpy software package to reshape and embed metadata. No other preprocessing was performed. Annealing series: Collected from P3MEEMT films annealed at 75 C, 115 C, 145 C, and 175 C. Each temperature contains two sets of 4D-STEM data collected at low and high magnification.
Tags: Advanced Materials,Organic Semiconductors,4D-STEM,OECT,TEM,GIWAXS,
Modified: 2024-02-22
Views: 0
NIST Inorganic Crystal Structure Database (ICSD)
Data provided by National Institute of Standards and Technology
Materials discovery and development necessarily begins with the preparation and identification of product phase(s). Crystalline compounds can be identified by their characteristic diffraction patterns using X-rays, neutrons, and or electrons. An estimated 20,000 X-ray diffractometers and a comparable number of electron microscopes are used daily in materials research and development laboratories for this purpose.
Tags: chemical structures,crystallography,crystal structures,diffraction,disorder,electrons,identification,inorganic,neutrons,magnetic,metals,minerals,materials,Rietveld,synchrotron,twinned,x-rays,Advanced Materials,manufacturing,Safety,Security and Forensics,
Modified: 2024-02-22
Views: 0
SHREC'09 track: querying with partial models
Data provided by National Institute of Standards and Technology
There are two objectives of this shape retrieval contest:
a) To evaluate partial similarity between query and target objects and retrieve complete 3D models that are relevant to a partial query object.
b) To retrieve 3D models those are relevant to a query depth map. This task corresponds to a real life scenario where the query is a 3D range scan of an object acquired from an arbitrary view direction. The algorithm should retrieve the relevant 3D objects from a database.
Task description
Tags: Information Search and Retrieval,3D Shape Retrieval,Partial 3D Models,
Modified: 2024-02-22
Views: 0
SHREC'09 Track: Generic Shape Retrieval
Data provided by National Institute of Standards and Technology
The objectives of this shape retrieval contest are to evaluate the performance of 3D shape retrieval approaches on a new generic 3D shape benchmark.
Task description: In response to a given set of queries, the task is to evaluate similarity scores with the target models and return an ordered ranked list along with the similarity scores for each query.
Tags: 3D Shape Retrieval,3D Models,Generic Shape Retrieval,Evaluation,
Modified: 2024-02-22
Views: 0
SHREC'10 Track: Generic 3D Warehouse
Data provided by National Institute of Standards and Technology
The objective of this track is to evaluate the performance of 3D shape retrieval approaches on a Generic 3D shape benchmark based on the Google 3D Warehouse.
Tags: 3D Shape Retrieval,3D Models,3D shape analysis,Evaluation and Measurement Science,
Modified: 2024-02-22
Views: 0
SHREC'10 track: Range scan retrieval
Data provided by National Institute of Standards and Technology
The objective of this shape retrieval contest is to retrieve 3D models those are relevant to a query range scan. This task corresponds to a real life scenario where the query is a 3D range scan of an object acquired from an arbitrary view direction. The algorithm should retrieve the relevant 3D objects from a database.
Task description: In response to a given set of queries, the task is to evaluate similarity scores with the target models and return an ordered ranked list along with the similarity scores for each query. The set of query consists of range images.
Tags: 3D Shape Retrieval,3D Models,3D Range Scans,Evaluation,
Modified: 2024-02-22
Views: 0