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.

This database brings together structural, biological, and thermodynamic data for enzymes that are either in current use or have a potential for use in the production of biofuels.

This database contains critically evaluated transition frequencies for the molecular transitions detected in interstellar and circumstellar clouds reported in the literature through mid-2008. The tabulated transition frequencies are recommended for reference in future astronomical observations in the centimeter and millimeter wavelength regions. The transition frequencies have been selected through a critical examination and analysis of the laboratory spectral data obtained from the literature.

Atomic Reference Data for Electronic Structure Calculations contains total energies, partial energies and orbital eigenvalues for the atoms hydrogen through uranium, as computed in several standard variants of density-functional theory, both non-relativistic and relativistic. This data has been calculated to micro-Hartree accuracy to provide a benchmark for electronic structure calculations.

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

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.

The NIST Clathrate Hydrate Physical Property Database contains data from two resources: the Thermophysical Properties of Gas Hydrates Database maintained by NIST and the Web-based Mallik Database from the Geological Survey of Canada . The Thermophysical Properties of Gas Hydrates Database contains thermophysical property data for gas hydrates taken from the archival literature. The data has all been evaluated for consistency by an expert in the field and is stored with complete reference information. This archive is intended to store ALL of this type of data available in published form.

This database contains cryogenic material property data.

CO2 is studied using dispersed synchrotron radiation in the 650 Å and 840 Å spectral region. The vibrationally resolved photoelectron spectra are analyzed to generate relative vibrational transition amplitudes and the angular asymmetry parameters describing the various transitions observed.

A visual repository of test data for use in comparative studies of algorithms for numerical linear algebra, featuring nearly 500 sparse matrices from a variety of applications, as well as matrix generation tools and services.