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Consolidated Screening List
Data provided by Bureau of Industry and Security
Tags: consolidated screening list; denied persons list; entity list;,
Modified: 2024-03-05
The NBS Tables of Chemical Thermodynamic Properties: Selected Values for Inorganic and C1 and C2 Organic Substances in SI Units
Data provided by National Institute of Standards and Technology
Recommended values are provided for chemical thermodynamic properties of inorganic substances and for organic substances usually containing only one or two carbon atoms. Where available, values are given for the enthalpy of formation, Gibbs energy of formation, entropy, and heat capacity at 298.15 K (25 degrees C), the enthalpy difference between 298.15 and 0 K and the enthalpy of formation at 0 K. All values are given in SI units and are for a standard state pressure of 100 000 pascal.
Tags: NBS Tables,chemical thermodynamics,enthalpy,entropy,Gibbs energy,inorganic chemistry,thermochemistry,evaluated data,
Modified: 2024-02-22
Data from: NIST Properties of Molten Salts Database (formerly SRD 27)
Data provided by National Institute of Standards and Technology
NIST distributed the NIST Properties of Molten Salts Database from 1990 to 2004. As part of the NIST Standard Reference Data Program, the database was designated as Standard Reference Database 27 or SRD 27. Since the database has not been actively maintained since 1991 the SRD designation has been dropped. The database was distributed as a program for DOS compatible operating systems. To enable use of the data on modern systems, the data have been extracted into comma separated variable (CSV) files.
Tags: molten salts,density,electrical conductivity,surface tension,viscosity,
Modified: 2024-02-22
Complex Document Information Processing (CDIP) dataset
Data provided by National Institute of Standards and Technology
This dataset is called the "IIT CDIP collection". "CDIP" stands for "Complex Document Information Processing" and "IIT" stands for "Illinois Institute of Technology" who originally built the dataset. The dataset consists of documents from the states' lawsuit against the tobacco industry in the 1990s.
Tags: optical character recognition,information retrieval,document structure,document understanding,image to text,
Modified: 2024-02-22
NIST SRD 46. Critically Selected Stability Constants of Metal Complexes: Version 8.0 for Windows
Data provided by National Institute of Standards and Technology
This version of NIST Standard Reference Database 46 is a major enhancement to this widely used database which provides comprehensive coverage of interactions for aqueous systems of organic and inorganic ligands with protons and various metal ions and is based on the six-volume Critical Stability Constants by Martell and Smith. The new version contains 225 additional ligands, new data, data printing, rapid bibliography searching and more streamlined commands. New literature has resulted in revision and upgrading of 30% of previous data.
Tags: NIST,database,stability constants,metal complexes,
Modified: 2024-02-22
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
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
SHREC'10 Track: Non-rigid 3D Shape Retrieval
Data provided by National Institute of Standards and Technology
Non-rigid 3D objects are commonly seen in our surroundings. However, previous efforts have been mainly devoted to the retrieval of rigid 3D models, and thus comparing non-rigid 3D shapes is still a challenging problem in content-based 3D object retrieval. Therefore, we organize this track to promote the development of non-rigid 3D shape retrieval.
The objective of this track is to evaluate the performance of 3D shape retrieval approaches on the subset of a publicly available non-rigid 3D models database----McGill Articulated Shape Benchmark database.
Tags: Nonrigid 3D Shape Retrieval,Nonrigid 3D Models,3D shape analysis,
Modified: 2024-02-22
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
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