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Each FITS file contains spectra used and the thermal and abundances profiles (C2H2, C2H4, C2H6, CH3CCH, C3H8, C4H2, C6H6, CO2, HCN, HC3N) for a given observation sequence (the FITS file name). The FITS file contains also the NESR (Noise Equivalent Spectral Radiance) used in the study. We add a README.txt file to help the user to extract the information contains in the FITS file with an IDL or Python environment.
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X-ray diffraction and energy dispersion X-ray fluorescence data for cathode materials of Li-ion batteries. Samples named as Blend, Cath1, Cath2, Cath3.
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These are the data of our manuscript entitled “Identification of novel enzyme from Eufaucia pacifica that act as an eicosapentaenoic 8R-LOX and docosahexaenoic 10R-LOX”.
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Full SEM images from multi panel figure 3 in the manuscript.
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The files uploaded include working tables related to the bycatch mitigation and outcomes (Table A.1); seal exclusion device (SED) trials with problems encountered and how they were solved (Table A.2); square mesh net barrier trials (Table A.3); underwater footage analysed (Table A.4) and the current license conditions regarding SED requirements (Fig.A.1).
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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.
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Four differentially expressed gene in keloid tissues The upstream regulatory analysis investigated the fold change in mRNA levels of four gene expression in the keloid group in comparison to normal part.
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Figure for the submission to Surface Science Our reference: SUSC 121591 Article reference: SUSC_2019_789 Article title: Steps and Ge epitaxy on vicinal Si (111) surfaces: an STM study To be published in: Surface Science
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Figure 1. Ultrastructure of the porcine retina. (a) SEM micrograph of the porcine retina. Scale bar: 25 μm. (b) SEM micrograph of the porcine photoreceptors. White arrow heads: cone photoreceptors, Arrow heads: rod photoreceptors. Scale bar: 10 μm. (c) Magnified view of cone photoreceptor inner segment. Scale bar: 1 μm. (d) Magnified view of rod photoreceptor inner segment. Scale bar: 1 μm. OS: outer segment, IS: inner segment, ONL: outer nuclear layer, OPL: outer plexiform layer, INL: inner nuclear layer, IPL: inner plexiform layer, GCL: ganglion cell layer. CIS: cone photoreceptor inner segment. RIS: rod photoreceptor inner segment. Figure 2. Ultrastructure of the rabbit retina. (a) SEM micrograph of the rabbit retina. Scale bars: 25 μm. (b) SEM micrograph of the rabbit photoreceptors. White arrow heads: cone photoreceptors, Arrow heads: rod photoreceptors. Scale bar: 5 μm. (c) Magnified view of cone photoreceptor inner segment. Scale bar: 1 μm. (d) Magnified view of rod photoreceptor inner segment. Scale bar: 1 μm. OS: outer segment, IS: inner segment, ONL: outer nuclear layer, OPL: outer plexiform layer, INL: inner nuclear layer, IPL: inner plexiform layer, GCL: ganglion cell layer. CIS: cone photoreceptor inner segment. RIS: rod photoreceptor inner segment. Figure 3. Ultrastructure of the mouse retina. (a) SEM micrograph of the mouse retina. Scale bar: 25 μm. (b) SEM micrograph of the mouse photoreceptors. White arrow heads: cone photoreceptors, Arrow heads: rod photoreceptors. Scale bar: 10 μm. (c) Magnified view of cone photoreceptor inner segment. Scale bar: 1 μm. (d) Magnified view of rod photoreceptor inner segment. Scale bar: 1 μm. OS: outer segment, IS: inner segment, ONL: outer nuclear layer, OPL: outer plexiform layer, INL: inner nuclear layer, IPL: inner plexiform layer, GCL: ganglion cell layer. CIS: cone photoreceptor inner segment. RIS: rod photoreceptor inner segment.
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