Browse research datasets and datasets related to biology.
Coscine
Browse indexed datasets and documentation for research and secondary analysis.
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0Browse research datasets and datasets related to biology.
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0NativeBio is a 501(c)(3) nonprofit data repository and research center described as dedicated to advancing Indigenous health and tribal self-governance. It is presented as an Indigenous and independent source for data sovereignty, research, and biodata storage, and the site points visitors to a Tribal Data Repository (TDR). Its research sections cover microbial genomics and a tribal wastewater project.
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0SSHADE is an interoperable solid spectroscopy database infrastructure providing spectral and photometric data from gamma to radio wavelengths. Measured samples include ices, minerals, rocks, organic and carbonaceous materials, and liquids. It contains specialized databases from various research groups, mostly from Europe, and can also be searched through the VESPA virtual observatory.
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0Peek is the Kyoto University Digital Archive System, providing digitized archival materials from the Research Resource Archive. It covers collections such as the Hotta (Mitsuru) Movie Collection, 1960-ca.1982, and the Tomoya Masuda papers and records, 1930–1984, bulk 1950–1981. KURRA finding aids can also be used to search for information about the materials.
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0The MCHF/MCDHF Database is a NIST collection of transition data from relativistic theories computed by different computational methods. The Landé gJ factor is provided for a few collections. Data is accessed by selecting an element from the periodic table, then a spectrum, a reference number, and a property. Atomic structure codes used in the calculations, including HFFortran95, ATSP, ATSP2K and GRASP2K, are available for download.
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0The International Mouse Phenotyping Consortium is an international research infrastructure that creates and phenotypes single-gene mouse knockout lines. Data release 24 reports 9,605 knockout genes phenotyped and over 138 million data points. The consortium states it generates its own data rather than aggregating publications, and targets genes that are yet to be studied.
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