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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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Supplemental material for publication titled - "Palm reading and water divining: A cross-sectional study of the accuracy of palmar hyper-linearity and trans-epidermal water loss to identify individuals with a filaggrin gene null mutation" to be published in Journal of the American Academy of Dermatology
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X chromosome inactivation in mammals is regulated by the non-coding (nc) RNA, Xist, which represses the chromosome from which it is transcribed. High levels of the N6-methyladenosine (m6A) RNA modification occur within Xist exon I, close to the 5’ end of the transcript, and also further 3’, in Xist exon VII. The m6A modification is catalysed by the METTL3/14 complex that is directed to specific targets, including Xist, by the RNA binding protein RBM15/15B. m6A modification of Xist RNA has been reported to be important for Xist–mediated gene silencing. We use CRISPR/Cas9 mediated mutagenesis to delete sequences around the 5’ m6A region in interspecific XX mouse embryonic stem cells (mESC). Following induction of Xist RNA expression we assay chromosome silencing using allelic RNA-seq and Xist m6A patterns using m6A-seq. Additionally we use Xist RNA FISH to analyse the effect of deleting the 5’ m6A region on the function of the endogenous Xist promoter. Purifying epitope tagged RBM15, we employ MS/MS analysis to define the RBM15 interactome in mESCs. We show that a deletion encompassing the entire Xist 5’ m6A region results in a modest reduction in Xist-mediated silencing, and that the 5’ m6A region overlaps essential DNA elements required for activation of the endogenous Xist promoter. Deletion of the Xist A-repeat, to which RBM15 binds, entirely abolishes deposition of m6A in the Xist 5’ m6A region without affecting the modification in exon VII. We show that in mESCs RBM15 interacts with the m6A complex, the SETD1B histone modifying complex, and several proteins linked to RNA metabolism
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In 2017 and 2018, seventy-one individuals (33 females and 38 males) from 40 ranches across three Choyero communities in the Sierra de la Giganta of Baja California Sur, Mexico were presented an ethnobiological knowledge assessment task. As a first step of the task, individuals took a vision acuity test using “tumbling E” eye charts presented on a laptop computer (see TumblingE_EyeChart.pptx), a robust and easy to use diagnostic tool that is practical for populations with innumerate or analphabetic participants (Messina et al. 2006). From this test we derived a visual acuity score [1,…11]. A higher score indicates better visual acuity. The ethnobiological knowledge assessment task presented a sequence of 137 slides on a laptop computer featuring images of 87 plants and 50 animals (see EthnobiologicalKnowledgeAssessmentTool.pptx). The order of items presented was varied among participants. Assessments of ethnobiological knowledge were conducted in Spanish in the privacy of individual homes and occurred as part of a larger set of household interviews regarding ranching demography and lifestyles. These household interviews additionally informed us of individuals’ educational achievement, their ranch affiliation, and community membership. For each of 137 plant and animal images presented in sequence, the researcher (ES) asked the participant whether they recognized the item in the image. If the participant answered affirmatively, the researcher asked the follow-up question about what the item is called. Responses were recorded and coded “correctly named” if matching locally appropriate culturally correct names used for species identification (see Macfarlan et al., 2020 http://dx.doi.org/10.17632/kjds8jztzv.1). Here we provide raw data generated by seventy-one participants (33 females and 38 male). We also include a codebook that explains data types and meanings and we provide the .pptx files for tumbling E eye charts and the ethnobiological knowledge assessment task used to generate the data in this survey.
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The immunostained image analysis of neurons created, NTA analysis of obtained EVs, image-based demonstration of EV-uptake by neurons, FACS analysis to quantify apoptotic behavior of cultures of interest, beta-galactosidase result to explain cell senescence status in each group, patch clamp experiment result to demonstrate the electrophusiological effect of astroglial EV treatment.
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Validation Data UV-Induction experiments data
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Standard Calibration Curve
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source data of TET2-ZSCAN project.
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Raw images corresponding to Figures 3 and 4 of FEDS paper
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