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Replication Data for Microplastics in the Rough: Using Data Augmentation to Identify Plastics Contaminated by Water and Plant Matter
No full textNear-infrared spectra for data replication
Tectonic controls on Maastrichtian climate change determined from paleosols of the Dawson Creek section, Big Bend National Park, Texas.
No full textBulk paleosol, pedogenic carbonate, and mean annual precipitation geochemistry data from Tectonic controls on Maastrichtian climate change determined from paleosols of the Dawson Creek section, Big Bend National Park, Texas
Data for: Desert amphibian breeding effort is better supported at natural waters than constructed waters during drought
No full textThis file contains the raw data used in analysis for "Desert amphibian breeding effort is better supported at natural waters than constructed waters during drought"
Videos and Image Data Combining Mechanical Properties and Damage Evolution in Different Asphalt Binders
No full textImages of damage captured in real-time in asphalt binders tested using poker chip geometry in load and displacement control modes were used to create a video to visualize crack nucleation and growth. Six different performance grade asphalt binders were tested at RTFO and PAV aging conditions, two unmodified and four modified. The modified asphalt binders included different modifier types and contents
SNP dataset from Niger-Senegal sorghum collection
No full textThis dataset contains SNPs generated upon sequencing and variant calling for 83 sorghum accessions from Niger and 60 from Senegal
"Reef Survivor: Jamaica" Print and Play Game
No full textThees are the Print and Play files for the "Reef Survivor: Jamaica" Board Gam
KRAS Mutant CRC and Peristalsis - 2024
No full textCompiled data files and images for bioRxiv 2024 Submissio
Replication Data for: PLOS One - Vaping Brands, 2024
No full textThese data were used in a PLOS One publication titled: Most Commonly Used Vaping Brands by 18-25 Year Old Young Adults in Texas -- Spring 2023.
This minimal de-identified dataset includes all variables used for all data analyses and results described in the manuscript
The CityLearn Challenge 2023 Dataset
No full textThis is the dataset used for The CityLearn Challenge 2023.
It contains the schema, buildings, weather, carbon intensity and electricity pricing datasets for Phases 1, 2 and 3 in separate folders. Note that the same dataset is used for both forecasting and control tracks. The difference between phase datasets that have the same name but different suffix number e.g. citylearn_challenge_2023_phase_3_1 and citylearn_challenge_2023_phase_3_2 is the random_seed used to set their power outage model.
The CityLearn version that was used for The CityLearn Challenge 2023 can be installed through pip:
pip install CityLearn==2.1b12
Earlier and later CityLearn versions may also be compatible with this dataset but could produce different simulation results.
Please, refer to either the forecasting track or control track starter-kit to see how to use this dataset
Texas State University Retention Rates
No full textIn this set, it will be discussed the importance of addressing the retention rates at students at Texas State university, and the probable causes