Found 16 datasets matching "Matrix Factorization".
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This data publication contains the code and demonstration data from a study using non-negative matrix factorization to learn, characterize, and chemically map crystal polymorphs at the single...
Search relevance: 214.71 | Views last month: 3 -
The Environmental Source Apportionment Toolkit (ESAT) is an open-source software package that provides API and CLI functionality to create source apportionment workflows specifically targeting...
Search relevance: 123.43 | Views last month: 24 -
In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is...
Search relevance: 103.39 | Views last month: 0 -
This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI...
Search relevance: 88.85 | Views last month: 0 -
Boise Saint Luke's Meridian site EPA ORD ambient 1-minute CO, CO2, O3, NO, NO2, NOx, and NH3 data from August 1 -30, 2019 utilized in the manuscript is included along with their respective quality...
Search relevance: 56.81 | Views last month: 0 -
EPA Positive Matrix Factorization (PMF) source profile results for fine and coarse particulate matter. Inorganic fine and coarse particulate matter concentration data used in PMF models. This...
Search relevance: 56.55 | Views last month: 13 -
This submission contains geotiffs, supporting shapefiles and readmes for the inputs and output models of algorithms explored in the Nevada Geothermal Machine Learning project, meant to accompany...
Search relevance: 55.65 | Views last month: 0 -
No data will be attached, all data are provided in either the paper or its supporting information (see tables and supporting information). This dataset is not publicly accessible because: USGS...
Search relevance: 53.73 | Views last month: 0 -
Matlab has a reputation for running slowly. Here are some pointers on how to speed computations, to an often unexpected degree. Subjects currently covered: Matrix Coding Implicit...
Search relevance: 45.82 | Views last month: 1 -
This submission contains an ESRI map package (.mpk) with an embedded geodatabase for GIS resources used or derived in the Nevada Machine Learning project, meant to accompany the final report. The...
Search relevance: 45.53 | Views last month: 0 -
Git archive containing Python modules and resources used to generate machine-learning models used in the "Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the...
Search relevance: 42.41 | Views last month: 1 -
The analysis of spectral signals for features that represent physical phenomenon is ubiquitous in the science and engineering communities. There are two main approaches that can be taken to...
Search relevance: 41.44 | Views last month: 0 -
Most complex aerospace systems have many text reports on safety, maintenance, and associated issues. The Aviation Safety Reporting System (ASRS) spans several decades and contains over 700 000...
Search relevance: 38.53 | Views last month: 2 -
Atmospheric organic aerosol (OA) has important impacts on climate and human health but its sources remain poorly understood. Biogenic monoterpenes and sesquiterpenes are important precursors of...
Search relevance: 33.68 | Views last month: 0 -
These data support a published journal paper described as follows: A 14-week investigation during a warm and cold seasons was conducted to improve understanding of air pollution sources that...
Search relevance: 32.46 | Views last month: 2 -
Field Methods: We propose to make measurements of fine particle composition using FTIR, XRF, and AMS techniques as part of the SOAS campaign. The instruments are housed in a 20’x8’ trailer with 3...
Search relevance: 28.12 | Views last month: 0