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Data for Paper: The Impact of the Yield Curve on the Equity Returns of Insurance Companies This study uses monthly data for all insurance companies listed on the major U.S. and Canadian public equity markets (NYSE, NASDAQ, and TSX) over the period between January 2000 and June 2019. This provides a sample of ninety-five U.S. insures and eight Canadian insurers. The monthly returns for both the U.S. and Canadian insurers are obtained through DataStream. The Fama-French factors, which include the market, size, and value factors, are obtained via AQR for the U.S. and Canada, respectively. The reasoning for obtaining these factors from AQR as opposed to Kenneth French’s website is because AQR has specific factors for Canada, while the Kenneth French website only has North American or Global factors to apply to the Canadian data. The interest rate data for the U.S. is obtained via the U.S. Federal Reserve Economic Database (FRED) and for Canada through Statistics Canada (Table 10-10-0122-01). Various interest rates are obtained to measure the various section of the term structure in both countries. These include the 3-month treasury, the two-, five- ten- and twenty-year notes and bonds.
Data Types:
  • Software/Code
  • Dataset
This is the pre/posttest data of my study, "Teaching Listening Comprehension by Clapping to the Rhythm". The dataset consists of 3 groups: Group 1 (NHC - non-handclapping); Group 2 (HC - handclapping); Group 3 (CG - control group). The scores in columns 2 and 3 represent the scores of the pretest and posttest. The maximum score possible was 26. Participants in the HC and NHC groups were given the same explicit instruction, with the exception that the HC was then led in a kinesthetic exercise where they learned to clap to the rhythm after listening to sample sentences. This highlighted the lessons learnt during the explicit instruction, namely the increased stress placed on the subject, verb, and object of the sentence. Groups HC and NHC received two instructional lessons, held one week apart. The posttest was conducted immediately after the second treatment session. Group CG received no treatment.
Data Types:
  • Software/Code
  • Dataset
We are trying to determine, through the data set, how we can best group students based on their interllectual attribute. There must be an optimal way to group the students by using cluster analysis.
Data Types:
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Mathematica Notebook and Excel Worksheet
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  • Software/Code
  • Tabular Data
  • Dataset
Chinese_City_Temp is the Coronavirus Data from 'coronavirus' package in R with two new variables cumulative and percentage increase added in. Chinese_Temperature_Date is data for each province pulled out from mid Jan to mid Feb. Final_Data_Set_5_Day_Lag is the combination of the two with a 5 day lag. (Stata) Analysis Do - does temperature regressions Humidity Do - does humidity regressions
Data Types:
  • Software/Code
  • Tabular Data
  • Dataset
These data correspond to that presented in the manuscript "Local evaporation controlled by regional atmospheric circulation in the Altiplano of the Atacama Desert" by Lobos et al. These data were collected in the E-DATA field campaign, performed in the Salar del Huasco, Chile, on November 2018.
Data Types:
  • Software/Code
  • Tabular Data
  • Dataset
  • Document
  • File Set
Data of Raman, EPR and eletrochemical properties of NCG@SiOC materials
Data Types:
  • Software/Code
  • Dataset
Dataset of the classroom experiments reported in IKEA Effect vs. Trophy Effect - An Experimental Comparison
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  • Software/Code
  • Dataset
Supplemental material
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  • Software/Code
  • Image
  • Dataset
Cytoscape compatable files of the sequence similarity network (SSN) and genome neighborhood network (GNN) of the flavin amine oxidase superfamily. SSN generated from of 9,192 members of the Flavin amine oxidase superfamily with 1) BLAST E-value of 1e-35 for dataset S3, and 2) BLAST E-value of 1e-50 for dataset S4. Dataset S6 is the GNN generated based on the SSN with BLAST E-value of 1e-50.
Data Types:
  • Software/Code
  • Dataset
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