The National Research Council released the Data-Based Assessment of Research-Doctorate Programs on September 28, 2010. The report consists of a descriptive volume, and a comprehensive data table in Excel containing data on characteristics and ranges of rankings for over 5000 programs in 62 fields at 212 institutions
Efficient fleet utilization is one of the key factors in an airline’s success and profitability. In this section, the Airline Data Project (ADP) demonstrates how mainline carriers have improved the use of their fleets and how the hub-and-spoke carriers achieve lower fleet utilization than their low-cost counterparts. While network architecture explains some of the differences, the age of a carrier’s fleet also is a significant factor.
The UCSD-Nature Signaling Gateway is a comprehensive and up-to-the-minute resource for anyone interested in signal transduction. This Gateway represents a unique collaboration between the University of California San Diego (UCSD) and Nature Publishing Group and is designed to facilitate navigation of the complex world of research into cellular signaling. Information and data presented here are freely available to all. It is powered by the San Diego Supercomputer Center (SDSC).
DSPL is the Dataset Publishing Language, a representation language for the data and metadata of datasets. Datasets described in this format can be processed by Google and visualized in the Google Public Data Explorer.
LexisNexis™ Statistical DataSets is a new online service that enables researchers to build statistical tables and charts from multiple sources in a single interface. This online interactive statistical solution aggregates over 610 licensed and public domain datasets provided by over 55 sources. The DataSets product makes 16.0 billion data points accessible within a single interface. The product exists as a module within LexisNexis Statistical Insight, which up until has covered published statistical tables. Now LexisNexis Statistical brings together the two worlds of published statistics and unpublished numeric data
Cornell Institute for Social and Economic Research. CISER has some of the early Census of Manufactures. Go to our archive search site and search “manufactures” However, most of these early years don’t have machine-readable documentation.
Zanran helps you to find ‘semi-structured’ data on the web. This is the numerical data that people have presented as graphs and tables and charts. For example, the data could be a graph in a PDF report, or a table in an Excel spreadsheet, or a barchart shown as an image in an HTML page. Put more simply: Zanran is Google for data. At present, we extract tables and images from HTML, PDF and Excel files and will be processing PowerPoint and Word documents in the near future.
CIESIN, the Center for International Earth Science Information Network, is a unit of the Earth Institute at Columbia University, based at the Lamont campus in Palisades, New York. CIESIN works at the intersection of the social, natural, and information sciences, and specializes in on-line data and information management, spatial data integration and training, and interdisciplinary research related to human interactions in the environment. CIESIN’s mission is to provide access to and enhance the use of information worldwide, advancing understanding of human interactions in the environment and serving the needs of science and public and private decision making.
The Federal Government produces an immeasurable amount of data each day. DataMasher helps citizens have a little fun with those data by creating mashups to visualize them in different ways and see how states compare on important issues. Users can combine different data sets in interesting ways and create their own custom rankings of the states.
Materials available in the repository may be protected by copyrights owned by private individuals or organizations, and may be subject to restrictions on use.
M. Bechny, F. Sobieczky, J. Zeindl, and L. Ehrlinger. Proceedings of the 33rd International Conference on Scientific and Statistical Database Management, page 214–219. New York, NY, USA, Association for Computing Machinery, (Aug 11, 2021)
M. Bechny, F. Sobieczky, J. Zeindl, and L. Ehrlinger. Proceedings of the 33rd International Conference on Scientific and Statistical Database Management, page 214–219. New York, NY, USA, Association for Computing Machinery, (Aug 11, 2021)
J. Choi, A. Khlif, and E. Epure. Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA), page 23--27. Online, Association for Computational Linguistics, (2020)
J. Choi, A. Khlif, and E. Epure. Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA), page 23--27. Online, Association for Computational Linguistics, (2020)