Filter
Reset all

Subjects

Content Types

Countries

AID systems

API

Certificates

Data access

Data access restrictions

Database access

Data licenses

Data upload

Data upload restrictions

Enhanced publication

Institution responsibility type

Institution type

Keywords

PID systems

Provider types

Quality management

Repository languages

Software

Syndications

Repository types

Versioning

  • * at the end of a keyword allows wildcard searches
  • " quotes can be used for searching phrases
  • + represents an AND search (default)
  • | represents an OR search
  • - represents a NOT operation
  • ( and ) implies priority
  • ~N after a word specifies the desired edit distance (fuzziness)
  • ~N after a phrase specifies the desired slop amount
  • 1 (current)
Found 3 result(s)
The information accumulated in the SPECTR-W3 ADB contains over 450,000 records and includes factual experimental and theoretical data on ionization potentials, energy levels, wavelengths, radiation transition probabilities, oscillator strengths, and (optionally) the parameters of analytical approximations of electron-collisional cross-sections and rates for atoms and ions. Those data were extracted from publications in physical journals, proceedings of the related conferences, special-purpose publications on atomic data, and provided directly by authors. The information is supplied with references to the original sources and comments, elucidating the details of experimental measurements or calculations, where necessary and available. To date, the SPECTR-W3 ADB is the largest factual database in the world containing the information on spectral properties of multicharged ions.
The University Information System RUSSIA (UIS RUSSIA) is a mutual project of Research Computing Center and Economic Faculty at Lomonosov Moscow State University. It was introduced in 2000 and has been designed as a digital library for research and educational purposes, primarily in the fields of economic and social sciences. Since then it was maintained to meet the growing interest and challenges of the Russian universities and educational community. Starting from 2003 our development team concentrated on statistical databases to build an infrastructure for educational courses, to assist broad Russian social and economic studies from regional to local and down to household level. Today profound knowledge of statistical data and ability to implement advanced modern methods of applied analysis are expected from successful university graduates and are in high demand among new specialists, particularly in economics, public administration and related areas.