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One of the newest types of multimedia involves body-connected interfaces, usually termed haptics. Haptics may use stylus-based tactile interfaces, glove-based systems, handheld controllers, balance boards, or other custom-designed body-computer interfaces. How well do these interfaces help students learn Science, Technology, Engineering, and Mathematics (STEM)? We conducted an updated review of learning STEM with haptics, applying meta-analytic techniques to 21 published articles reporting on 53 effects for factual, inferential, procedural, and transfer STEM learning. This deposit includes the data extracted from those articles and comprises the raw data used in the meta-analytic analyses.

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.

GBS data for G. max x G. soja crosses, a project led by Dr. Randy Nelson.

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.

This dataset contains seed germination data from two inoculation experiments involving two fig species, Ficus beddomei and Ficus callosa, found in the tropical forests of the Western Ghats, India, and fungal taxa that were isolated from them. The file "first_inoculation_expt_Nov_2025" contains germination data for screening of select fungal taxa for their effects on the two fig species. The file "serial_inoculation_expt_Nov_2025" contains germination data from a serial inoculation experiment involving successive inoculation of seeds with an endophytic followed by a pathogenic fungal taxon.

This dataset contains ecological and demographic data for William’s bright‑eyed frog (Boophis williamsi), a critically endangered amphibian restricted to the Ankaratra Massif in Madagascar’s central highlands. Field surveys were conducted between September 2018 – March 2019 and July 2021 across ten 100‑m stream transects to estimate abundance and identify habitat associations for both tadpoles and adult frogs. Data include repeated counts of individuals and associated habitat variables (e.g., canopy cover, substrate type, stream depth, discharge, and temperature). Abundance was estimated using N‑mixture models implemented in R (version 4.3.1) with the ubms package, with separate models for tadpoles and frogs to account for differences in detection probability. The dataset consists of multiple CSV files capturing microhabitat, environmental variables, and raw survey count data (y_frogs.csv and y_tadpoles.csv) and an R script (boophis_abundance.R) used for model fitting. The dataset was compiled for an article accepted in the Herpetological Journal by the British Herpetological Society and is intended to support long‑term monitoring and conservation planning for B. williamsi and other threatened amphibians in Madagascar.

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.

Ground based radar data sets collected during the 2013 NASA EVEX Campaign conducted in Roi-Namur island of the Kwajalein Atoll in the Republic of Marshall Islands are deposited in this databank. Radar data were collected with IRIS VHF and ALTAIR VHF/UHF systems.