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Figures and Tables for the manuscript, 'Proteome- and genome- wide profiling of early duodenal cancer'.
Data Types:
  • Tabular Data
  • Dataset
  • Document
We collected cross-sectional data in Hubei province, China in June 2019, by collaborating with a professional Chinese online survey platform. Specifically, structured questionnaires were sent out with a simple random sampling through emails, QQ and WeChat, and each interviewee who provides a valid sample was compensated with 5 CNY. Interviewees were first asked to recall and report their consumption experience(s) of agritourism, and those who had no such experience would be signed as invalid samples. It is therefore guaranteed that all valid samples come from customers who have actually visited agritourism farms.
Data Types:
  • Software/Code
  • Dataset
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
  • Dataset
Brazilian dataset. Brazilian-Portuguese-TEIQue-SF
Data Types:
  • Software/Code
  • Dataset
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.
Data Types:
  • Other
  • Software/Code
  • Slides
  • Tabular Data
  • Dataset
  • Document
  • Text
  • File Set
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
  • Dataset
  • File Set
crop types and carbon recovery in plant parts and in soils
Data Types:
  • Tabular Data
  • Dataset
The dataset contains survey data that examined personality and Islamic religiosity using a sample population of 277 Bruneian Malay Muslim university students. This includes demographics, and measures on personality and Islamic religiosity, as well as measures concerning psychological well-being, unethical behavior, and dark triad traits. All items had been properly labeled with values assigned, including ratings.
Data Types:
  • Software/Code
  • Dataset
This data captures climate information and HVAC energy use for a baseline prototype home and for a replacement alternative energy home. The baseline home is a traditional DX cooling/gas furnace system, and the alternate system is a geothermal heat pump. Cooling degree days (CDD), heating degree days (HDD) and relative humidity were gathered from historical weather data for 12 cities across the contiguous United States. Geothermal heat pump coefficients were generated as inputs to EnergyPlus simulation software. These heat pump coefficients are generated by compiling heat pump performance data from 5 market leading, high efficiency residential geothermal heat pump manufacturers. These coefficients can be used to represent a general, market available heat pump in 2-ton, 3-ton, and 4-ton capacities. Baseline prototype home energy use by city was generated by EnergyPlus using the prototype home download file from www.energy.gov and the respective weather file for that city. This data can be interpreted as energy use per month by certain HVAC components. The GSHP home energy use by city was generated from EnergyPlus and the respective city weather file. The GSHP model was created by the authors to model the alternate closed loop, GSHP system.
Data Types:
  • Tabular Data
  • Dataset
All concentrations are given on a dry soil weight basis. Concentrations of organic pollutants are given in ng/g, concentrations of metals in ug/g and the organic carbon content is given in g/g. Concentrations below the detection limit were replaced by 0.5 * MDL (refer to the Supplementary Information for details). A concentration of zero means that the compound could not be quantified because of interferences. Zero-values should therefore be excluded from statistical analyses.
Data Types:
  • Tabular Data
  • Dataset
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