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Abstract DNA holds significant promise as a data storage medium due to its density, longevity, and resource and energy conservation. These advantages arise from the inherent biomolecular structure of DNA which differentiates it from conventional storage media. The unique molecular architecture of DNA storage also prompts important discussions on how data should be organized, accessed, and manipulated and what practical functionalities may be possible. Here we leverage thermodynamic tuning of biomolecular interactions to implement useful data access and organizational features. Specific sets of environmental conditions including distinct DNA concentrations and temperatures were screened for their ability to switchably access either all DNA strands encoding full image files from a GB-sized background database or subsets of those strands encoding low resolution, File Preview, versions. We demonstrate File Preview with four JPEG images and provide an argument for the substantial and practical economic benefit of this generalizable strategy to organize data.
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MINES thermodynamic database, New Mexico Bureau of Geology and Mineral Resources, version 23
The MINES thermodynamic database (version 23) is a revised internally consistent thermodynamic dataset for minerals, aqueous species, and gases for simulating geochemical processes at hydrothermal conditions (≤5 kbar and ≤600 °C) with a focus on ore forming processes. The database follows a rolling release approach with new file versions becoming available once updated. The version number corresponds to the year of the most recent file creation and the number after the decimal separator indicates an upgrade during the year of release. The database is currently intended to be used with the GEMS geochemical modeling program ( http://gems.web.psi.ch/ ). Future versions will include human-readable data in .xlsx, .csv, and JSON files with all the data values, units, and references.
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- PAR ID:
- 10517885
- Publisher / Repository:
- New Mexico Bureau of Geology and Mineral Resources
- Date Published:
- Edition / Version:
- 23.1
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Hydrothermal ore deposits involve complex fluid-rock interactions, where alteration zones yield information on physicochemical conditions of ore-forming processes and fluid pathways. Lithogeochemical vectors can be used to delineate alteration zones and potentially yield information for targeting ore zones for the exploration of mineral deposits. To be able to recognize these geochemical and mineralogical signatures, it is imperative to understand the underlying ore-forming processes and link them to geochemical vectors. Numerical modeling permits tracking changes in rock chemistry and metal precipitation mechanisms by simulating various alteration and fluid evolution scenarios such as boiling, fluid mixing, fluid-rock interaction, and changes in redox, pH, and temperature. The open-access MINES thermodynamic database (http://tdb.mines.edu) has been recently launched for modeling fluid-rock interaction and the chemical changes related to ore-forming processes, using the program GEM-Selektor (http://gems.web.psi.ch). The philosophy behind the MINES database is to focus on testing a series of numerical modeling projects used to simulate various ore deposits. We present a number of case studies where GEM-Selektor has been successfully applied to simulate ore-forming processes. These include Cu transport and mineralization at the Kansanshi Cu-Au deposit hosted in metasedimentary rocks, and the metasomatism of pegmatites and mobilization of rare earth elements (REEs) in the Strange Lake REE-Zr-Nb mineral deposit. We also use this method to demonstrate the coupling of complex chemical equilibria with reactive mass transport along a fluid flow path for simulating the deposition of Pb and Zn in a Mississippi Valley-type (MVT) deposit and the alteration associated with volcanogenic massive sulfide (VMS) deposits. The long-term goal of this project is the generation of a geochemical vectors database for interpreting field data, using knowledge gained from numerical simulations combined with field observations. This link between fundamental and applied research is expected to significantly advance ore vectoring for the exploration industry.more » « less
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