Illinois Data Bank Dataset Search Results
Results
published:
2016-06-23
Donovan, Brian; Mori, Alec; Agrawal, Nimit; Meng, Yalan; Lee, Jong; Work, Daniel
(2016)
This dataset contains hourly traffic estimates (speeds) for individual links of the New York City road network for the years 2010-2013, estimated from New York City Taxis.
keywords:
traffic estimates; traffic conditions; New York City
published:
2018-05-01
GBS data for G. max x G. soja crosses, a project led by Dr. Randy Nelson.
published:
2020-01-28
Miao, Guofang; Guan, Kaiyu
(2020)
This dataset includes two data files that provide the time series (Jul. - Sep. 2017) data of sun-induced chlorophyll fluorescence (SIF_760) collected under sunny conditions at two maize sites (one rainfed and the other irrigated) in Nebraska in 2017.
Data contain 392 SIF_760 records at the rainfed site and 707 records at the irrigated site. The timestamp uses local standard time. Data are available for the sunny conditions from 8 am to 5 pm (corresponding to 9 am to 6 pm local time) throughout the study period.
keywords:
sun-induced chlorophyll fluorescence (SIF); maize; gross primary production(GPP); light use efficiency(LUE); SIF yield
suppressed by curator
published:
2024-09-28
Per the authors' request, the data files for this dataset are now suppressed. Please visit this new dataset for the complete and updated data files: Huang, Yijing; Fahad , Mahmood (2025): Data for Observation of a Magneto-chiral Instability in Photoexcited Tellurium. University of Illinois Urbana-Champaign.<a href="https://doi.org/10.13012/B2IDB-1409842_V1">https://doi.org/10.13012/B2IDB-1409842_V1</a>
====================
The data and code provided in this dataset can be used to generate key plots in the manuscript. It is divided into four subfolders (B parallel/perpendicular to the tellurium c axis and field/ temperature dependence), each containing the raw data (saved in .mat format), the oscillator parameters obtained through linear prediction (saved in .mat format), and the plot-generating code (.m files). The code was written using MATLAB R2024a. To run the code, go to each folder, and run the .m file in that folder, which generates two plots.