Results derived from data obtained by Wilkinson Microwave Anisotropy Probe (WMAP) are extensively used in many areas of physics. It has been claimed recently that the published WMAP calibrated data and maps might be in question because of an undocumented timing offset in the official processing pipeline [The origin of the WMAP quadrupole, Hao Liu, Shao-Lin Xiong, Ti-Pei Li]. This timing error was shown to induce a quadrupole pattern in the final maps that is very similar to the officially published quadrupole mode. It is clear that a timing offset at the map-making stage will strongly affect the quadrupole scale, since the map-making in [The origin of the WMAP quadrupole, Hao Liu, Shao-Lin Xiong, Ti-Pei Li] was based on the official WMAP calibrated TOD. But there is also a possibility that the calibration process itself could be affected as well and we test this here. In this work we approximately reproduce the original dipole-based iterative calibration procedure to produce a calibrated data set starting from raw uncalibrated data. Using the calibrated data we generate a set of sky maps that we compare to the officially released maps and note some differences between our and official results. We also investigate the effects of various timing offsets introduced in the calibration stage on the final products. We find that a timing offset in the calibration process has little effect on the calibrated data and induced quadrupole.
This catalog supplies many sets of public data produced by City agencies. The data sets are available in a variety of machine-readable formats and are updated often.
The Data Observation Network for Earth (DataONE) is poised to be the foundation of new innovative environmental science through a distributed framework and sustainable cyberinfrastructure that meets the needs of science and society for open, persistent, robust, and secure access to well-described and easily discovered Earth observational data. Supported by the U.S. National Science Foundation, DataONE will ensure preservation and access to multi-scale, multi-discipline, and multi-national science data. DataONE will transcend domain boundaries and make biological data available from the genome to the ecosystem; make environmental data available from atmospheric, ecological, hydrological, and oceanographic sources; provide secure and long-term preservation and access; and engage scientists, land-managers, policy makers, students, educators, and the public through logical access and intuitive visualizations.
E. Scott Adler. The data set includes a wide range of economic, social and geographic information for every U.S. congressional district, from 1943-1998.
KIDS COUNT is a national and state-by-state project of the Casey Foundation to track the status of children in the United States. At the national level, the principal activity of the initiative is the publication of the annual KIDS COUNT Data Book, which uses the best available data to measure the educational, social, economic, and physical well-being of children state by state. The Foundation also funds a national network of state-level KIDS COUNT projects that provide a more detailed, county-by-county picture of the condition of children. The first national KIDS COUNT Data Book was published in 1990.
"the largest foreign exchange database on the Internet." You can obtain the historical exchange rates with the desired rate (cash, interbank, credit card), in ASCII, CSV or HTML format. y exchange rates from our exchange servers. max. 500 days per request.
free real-time and historical market data for trading systems and trading platforms. over ten terabytes of historical tick data for free. Market data is available from all US stock, futures and options exchanges, including regional exchanges and electronic communication networks (ECNs) via otFeed.
Various US databases provided by federal government agencies. Census, Labor Statistics, Transportation, Economics. Also: A 3D Version of the PubChem Library, Annotated Human Genome Data.
Linked Data is about using the Web to connect related data that wasn't previously linked, or using the Web to lower the barriers to linking data currently linked using other methods.
The 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across 20 different newsgroups. The collection has become a popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.
designed to provide quick and easy access to a wide range of data on tax rates, collections and overall tax burdens. All data are posted in Excel when available.
DBpedia is a community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to ask sophisticated queries against Wikipedia, and to link other data sets on the Web to Wikipedia data.
S. Farhat, L. Tubati, M. Osiemo, и R. Dave. JCDL '22: The ACM/IEEE Joint Conference on Digital Libraries in 2022, Cologne, Germany, June 20 - 24, 2022, стр. 34. ACM, (2024)
O. Hassan, O. Aderibigbe, O. Efijemue, и T. Onasanya. Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data, стр. 906--908. New York, NY, USA, ACM, (2024)
A. Hackl, J. Zeindl, и L. Ehrlinger. Proceedings of the 35th International Conference on Scientific and Statistical Database Management, стр. 1–2. New York, NY, USA, Association for Computing Machinery, (27.08.2023)
C. Pedersen, M. Eickenberg, и S. Ho. (2023)cite arxiv:2307.14362Comment: Accepted at ICML 2022 Workshop on Machine Learning for Astrophysics, Baltimore, Maryland, USA, 2022.