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NIST DART-MS Forensics Database (is-CID)
Data provided by National Institute of Standards and Technology
The NIST DART-MS Forensics Database is an evaluated collection of in-source collisionally-induced dissociation (is-CID) mass spectra of compounds of interest to the forensics community (e.g. seized drugs, cutting agents, etc.). The is-CID mass spectra were collected using Direct Analysis in Real-Time (DART) Mass Spectrometry (MS), either by NIST scientists or by contributing agencies noted per compound. The database is provided as a general-purpose structure data file (.SDF).
Tags: Standard reference data,mass spectra,Ion Fragmentation,mass spectrometry,NIST Mass Spectral Libraries,Chemical Identification,Biosciences and Health,Security and Forensics,
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
NMR Interlaboratory Study of NISTmAb
Data provided by National Institute of Standards and Technology
The NISTmAb Interlaboratory NMR Study is a joint effort between 25 organizations to evaluate the performance of two-dimensional (2D) heteronuclear NMR as used to characterize the high order structure (HOS) of proteins, with the aim of harmonizing 2D-NMR methods to support industrial use of NMR as applied to mAb therapeutics. This study features nearly equal representation between laboratories from academia, government, and industry, including 4 laboratories from regulatory agencies.
Tags: NMR,biopharmaceuticals,structure,fingerprint,comparability,biosimilarity,NISTmAb,RM 8671,Biosciences and Health,interlaboratory study,harmonization,chemometrics,
Modified: 2024-02-22
Views: 0
Datasets from an interlaboratory comparison to characterize a multi-modal polydisperse sub-micrometer bead dispersion
Data provided by National Institute of Standards and Technology
These four data files contain datasets from an interlaboratory comparison that characterized a polydisperse five-population bead dispersion in water. A more detailed version of this description is available in the ReadMe file (PdP-ILC_datasets_ReadMe_v1.txt), which also includes definitions of abbreviations used in the data files. Paired samples were evaluated, so the datasets are organized as pairs associated with a randomly assigned laboratory number.
Tags: Biosciences and Health,particle,protein particle,sub-micrometer particle,subvisible particle,particle tracking analysis,resonant mass measurement,electrical sensing zone,holographic particle characterization,flow imaging,laser diffraction,flow cytometry,
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
SHREC'14 Track: Extended Large Scale Sketch-Based 3D Shape Retrieval
Data provided by National Institute of Standards and Technology
The objective of SHREC'14 Track is to evaluate the performances of different sketch-based 3D model retrieval algorithms using a large scale hand-drawn sketch query dataset on a generic 3D model dataset.
Tags: 3D Shape Retrieval,3D Models,Sketches,Evaluation,
Modified: 2024-02-22
Views: 0