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Results of wood decay assays involving known wood-decaying fungi and bark beetle-associated fungi.
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Total RNA was purified from E. pacifica using with an RNeasy Lipid tissue mini kit. The library of E. pacifica for next generation sequencing was made using with a TruSeq RNA library prep kit v2 (Illumina). RNA purification and library preparation were performed according to the manufacturers’ instructions. The library was analyzed by Miseq using a Miseq reagent kit v3 (600 cycle) (Illumina). The fastaq data was assembled by Trinity.
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Table S2 Normalised signal values from arrays in this study
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  • Tabular Data
  • Dataset
This data was collected in the Maasai Mara National Reserve in Kenya. A total of 1,170 cattle were sampled and screened for antibodies against foot-and-mouth disease (FMD). A metafile describing the data is attached.
Data Types:
  • Tabular Data
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Four excel files in supplementary materials presents all fault data. Each file of “along-fault displacement” contain two sheets. One sheet show the displacements of segments, and the other sheet show the summed displacements. The file of “D_max and fault length” contain two sheets to show the max displacements and fault length of segments in the DF2 and the DF3, respectively.
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  • Tabular Data
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Figures and Tables for the manuscript, 'Proteome- and genome- wide profiling of early duodenal cancer'.
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  • Tabular Data
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  • Document
Electron probe data, sulfur isotope data and EBSD data
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  • File Set
Data are for a manuscript examining growth rates in eastern bluebird and black-capped chickadee nestlings in nests supplemented with 10 g mealworms per day vs. control nests.
Data Types:
  • Software/Code
  • Tabular Data
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The included tests were performed at McMaster University in Hamilton, Ontario, Canada by Dr. Phillip Kollmeyer (phillip.kollmeyer@gmail.com). If this data is utilized for any purpose, it should be appropriately referenced. A brand new 3Ah LG HG2 cell was tested in an 8 cu.ft. thermal chamber with a 75amp, 5 volt Digatron Firing Circuits Universal Battery Tester channel with a voltage and current accuracy of 0.1% of full scale. these data are used in the design process of an SOC estimator using a deep feedforward neural network (FNN) approach. The data also includes a description of data acquisition, data preparation, development of an FNN example script. The test data, or similar data, has been used for some publications, including: C. Vidal, P. Kollmeyer, M. Naguib, P. Malysz, O. Gross, and A. Emadi, “Robust xEV Battery State-of-Charge Estimator Design using Deep Neural Networks,” in Proc WCX SAE World Congress Experience, Detroit, MI, Apr 2020 C. Vidal, P. Kollmeyer, E. Chemali and A. Emadi, "Li-ion Battery State of Charge Estimation Using Long Short-Term Memory Recurrent Neural Network with Transfer Learning," 2019 IEEE Transportation Electrification Conference and Expo (ITEC), Detroit, MI, USA, 2019, pp. 1-6.
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This dataset includes original data of experiments performed on Elovl2 KO mice which are described in our PNAS manuscript: Impaired lipid metabolism by age-dependent DNA methylation alterations accelerates aging.
Data Types:
  • Image
  • Tabular Data
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  • File Set
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