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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
MAM Consortium Interlaboratory Study Raw Data
Data provided by National Institute of Standards and Technology
These LC-MS and LC-MS/MS raw data were collected for purposes of an interlaboratory study evaluating the multi-attribute method (MAM). Tryptic digests of native NISTmAb (the "Reference" and the "Unknown" samples), degraded NISTmAb (the "pH Stress" sample) and NISTmAb spiked with 15 heavy-labeled synthetic peptides (the "Spike" sample) were sent to each participating laboratory. One injection of each digest was acquired in MS-only mode, while a second injection was acquired in MS/MS mode.
Tags: attribute analytics,interlaboratory study,multi-attribute method,MAM Consortium,mass spectrometry,new peak detection,NPD,purity testing,round robin,targeted analytics,NISTmAb,
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
Construction of a Dual-enzyme, Subzero (-30 degree C) Chromatography System and Multi-channel Precision Temperature Controller for Hydrogen-Deuterium Exchange Mass Spectrometry
Data provided by National Institute of Standards and Technology
This tutorial provides mechanical drawings, electrical schematics, parts lists, STL files for 3D-printed parts, IGS files, and instructions for automated machining necessary for construction of a dual-protease, subzero, liquid chromatography system for hydrogen-deuterium exchange mass spectrometry. Electrical schematics for construction of a multi-zone temperature controller that regulate to ±0.1 oC are also included in this tutorial.
Tags: liquid chromatography,hydrogen-deuterium exchange,mass spectrometry,precision,peptide,protein,proteolysis,proteomics,reference material,temperature control.,
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
SHREC'15: Range Scans based 3D Shape 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 range scan 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: Range Scans,3D Shape Retrieval,3D Models,Evaluation and Measurement Science,
Modified: 2024-02-22
Views: 0