This dataset contains the high resolution 3D bathymetry of 347 global reservoirs, which represents 50% of the overall global storage capacity. It also provides the Area-Elevation (A-E) and Elevation-Volume (E-V) relationships for these reservoirs.

This four datasets are used in conjunction with the senior seminar course, “Storytelling with Data: The Beyonce Edition.” This compilation of information related to Beyonce’s live performances related to the singer’s music videos, live performance, award nominations and wins, and chart performances of her songs.

This dataset contains the time series of area values for 6817 global reservoirs (with an integrated capacity of 6099 km3) generated from 1984 to 2015. It was based on the dataset by Pekel et al. (2016), with the contaminations from clouds, cloud shadows, and terrain shadows corrected automatically.

Survey dataset from households in Brazos County assessing the prevalence of neglected tropical disease risk factors. Data was collected using the Community Assessment for Public Health Emergency Response (CASPER) methodology.

The Texas Soil Observation Network (TxSON) is an intensively monitored area (1300 km2) located near Fredericksburg, Texas within the middle reaches of the Colorado River. The area typifies the dissected, carbonate-rock terrain of the Texas Hill Country with semiarid rangelands of mixed oak/grasslands and juniper woodlands. TxSON consists of 40 soil moisture monitoring stations nested at 3, 9 and 36 km within the Equal-Area Scalable Earth Grid. Beginning in 2015, the four-year data set consists of mean hourly volumetric soil water content and temperature measured at 5, 10, 20 and 50 cm depths. Precipitation is measured at all locations with six meteorological stations also providing air temperature and humidity, wind speed and direction, and solar radiation.

TXST Dataverse Quick Start Guide-Example RDM Dataverse

Ecological characteristics and mating system score for each species

This is the dataset used for The CityLearn Challenge 2022. It contains the schema, buildings, weather, carbon intensity and electricity pricing datasets for Phases 1, 2 and 3 in separate folders. Note that the weather, carbon intensity and pricing data are the same in all folders. The CityLearn version that was used for The CityLearn Challenge 2022 can be installed through pip: pip install CityLearn==1.3.6 Earlier and later CityLearn versions may also be compatible with this dataset but could produce different simulation results. Please, refer to the example Jupyter notebook to see how to use this dataset.

Raw Data for Xueyan Feng, Mujin Zhou, Hua Guo, & Edwin L. Thomas, "Visualizing the double gyroid twin"

This dataset is an overview of the people with whom Jay Z collaborated through his 13 solo studio albums released between 1996 and 2017.

This dataverse contains a coding manual and a dataset of annotated language used for a study titled, Negation in San Juan Quiahije Chatino Sign Language. In the corresponding paper, we analyze the use of negative emblems in a sign language used in an indigenous Chatino community of Oaxaca. To perform the analysis, we identified tokens of negative manual emblems in over 5 hours of video recorded interaction. We then coded the form, function, and syntactic distribution of each token. The resulting set of annotations is deposited here. The original set of video recordings is deposited with the Endangered Languages Archive in two deposits: Hou, L, and Mesh, K. (2018). Documenting Chatino Sign Language. London: SOAS, Endangered Languages Archive. Access: Public. Deposit ID 0355. Mesh, K. (2018). Gesture, Speech and Sign in Chatino Communities. London: SOAS, Endangered Languages Archive. Access: Public. Deposit ID 0459.

This data set was taken from the Benchmark datasets for entity resolution web page. It contains bibliographic data, with 4 attributes: title, authors, venue, year.

select air quality parameters for June 2023 for three sites in Houston-Galveston, Texas 1. aerosol optical data including absorption and scattering coefficients, AAE and SAE 2. trace gas including CO, ozone, NO and NO2 The site coordinates for the data are: Aldine (urban site) (29.901152, -95.326179) Galveston (coastal site) (29.254426, -94.861399) Liberty (rural site) (30.096691, -94.763608)

This dataset is an overview of the samples contained on Jay Z's 13 solo studio albums released between 1996 and 2017.

This dataset contains the source codes of the Frehg model.

Full source code and pre-trained models for Eye Know You Too. Enables downloading datasets, partitioning samples into train/val/test splits, training your own models, embedding eye movement signals (using your own models or our provided pre-trained models), and evaluating biometric performance given embeddings.

outtxt_bump_0513_simplejump_linearinterp

outtxt_WallerCreek_momentumjump_T00_Coarse_20190510_restart

The description will always be the same

outtxt_bump_0683_baseline