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The yearly timescale is the finest temporal scale for the analysis in this study due to the data limitation of naturalized streamflow, irrigation water, and water diversion.
The c5++ analysis software was used for the analysis in this study.
The detailed input values for the analysis in this study are summarized in Table 3.
Thus, for the analysis in this study we consider only the earthquake catalog since January 2012 until May 2017.
The presence data of NEASTs were used for the analysis in this study to minimize the bias of data information (Beck et al. 2014; Yesson et al. 2007).
It is, therefore, known that the pumps used for the analysis in this study are all located in areas void of geothermal energy in quantities viable for practical use such as house heating, and electric heating has most likely been used for heating prior to the heat pump installation.
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The RNA samples were used for metatranscriptomic analysis in this study.
All code used for quality assessment and data analysis in this study is available at: https://github.com/stephenturner/langouetastrie-scidata2016-chicken-rnaseq-retina-code //github.com/stephenturner/langouetastrie-scidata2016-chicken-rnaseq-retina-code //github.com/stephenturner/langouetastrie-scidata2016-chicken-rnaseq-retina-code //github.com/stephenturner/langouetastrie-scidata2016-chicken-rnaseq-retina-code //github.com/stephenturner/langouetastrie-scidata2016-chicken-rnaseq-retina-code //github.com/stephenturner/langouetastrie-scidata2016-chicken-rnaseq-retina-code
These data were collected for potential future analysis rather than analysis in this study.
Our goal of high-resolution (<1 km) analysis in this study demanded first-order positional accuracy for all data used.
The association analysis provided in this study has identified leads for future analysis.
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