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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
15,238 datasets
Updated in April 2018, this GitHub repository by bharathirajatut provides a collection of sample Excel spreadsheets for educational and testing purposes. It serves as a resource for students and developers needing varied spreadsheet data for software integration exercises. The repository includes multiple files, though specific row counts and column headers are not documented in the metadata.
Weddell Sea data provides a time series of sea ice freeboard proxy estimations derived from ASCAT C-band backscatter measurements. The dataset includes both unmasked and masked versions for multiyear and marginal ice, as developed by Nicola Ramm at the University of Tasmania. Data files were last updated in 2017.
Road and plot data were used for a geospatial analysis example in a 2018 Open Source Geospatial Research and Education Symposium publication. The example calculates road densities near sample plot locations using Python and Jupyter Notebook. The dataset was contributed by ENVIDAT, an environmental data portal, for the 2018 OGRS symposium.
Chicago's list of all early learning programs funded by the City of Chicago. The dataset includes program locations, ages served, quality ratings, and other operational details. It was published by data.cityofchicago.org and last updated on December 15, 2017.
Japan's coastal and marine observation data for 2018, processed by the Japan Oceanographic Data Center (JODC). The collection aggregates measurements from seven major Japanese agencies and institutions, including the Japan Meteorological Agency and the Japan Coast Guard. Data spans observations from 2004 to 2018.
Multiple programmatic dataset loaders are provided in this collection to facilitate automated ingestion into analysis environments. The repository serves as a centralized utility for retrieving and preparing external data through standardized scripts.
University of Otago and Antarctica New Zealand researchers deployed a semi-autonomous station on McMurdo Sound landfast sea ice to record temperature profiles and snow depths during the growth season. The dataset includes snow depth measurements from a Campbell Scientific ultrasonic sensor and temperature data from a custom 3-meter probe with twenty thermistors. Data collection occurred in 2017.
A 2013 needs assessment from the Government Digital Service analyzes the provision of sport and physical activity for young people aged 0-18 in the London boroughs of Camden and Islington. The research focuses on strategic policy context, participation levels, motivations and barriers, and supply and demand for opportunities. Recommendations are made for improving the local offer to increase youth participation.
Physical trajectory profile data from a Slocum glider deployed in the Mid-Atlantic Bight off New Jersey. The dataset contains CTD measurements of temperature, salinity, conductivity, and density collected from October 19 to November 6, 2017. Data were gathered by Rutgers University's Center for Ocean Observing Leadership for the New Jersey Department of Environmental Protection's coastal oxygen monitoring program and archived by NOAA's National Centers for Environmental Information.
Oceanographic and surface meteorological data collected from an in-situ moored station in Sandusky Bay, Great Lakes. The dataset contains netCDF files following CF and ACDD conventions, collected by Bowling Green State University and assembled by the Great Lakes Observing System (GLOS). Data spans from July 2015 to October 2017, with monthly updates submitted to NOAA's NCEI.
A dataset for training and evaluating deep learning-based persona models in conversational AI. It was created by HuggingFace and last updated in December 2017.
Physical trajectory profile data from an autonomous underwater glider (RU28) deployed in the Mid-Atlantic Bight. The dataset contains measurements of temperature, salinity, conductivity, and density collected for coastal dissolved oxygen monitoring by Rutgers University and NOAA NCEI. Data covers a specific deployment from September 15 to October 3, 2017.
NOAA-PMEL's 2017 Oculus seaglider (SG401) data set contains temperature, salinity, chlorophyll, and depth measurements from the Bering Sea, collected between July 26 and September 26, 2017. The autonomous glider operated in shallow waters less than 200m deep, collecting data from the surface to 63.1 meters depth across a defined area of the middle Bering Sea shelf. Data are delivered as a NetCDF-4-compatible file with quality flags and defined missing value indicators.
Information on all schools in the London Borough of Barnet, sourced from EduBase, the Department for Education’s register. The dataset includes unique reference numbers, school names, addresses, types, age ranges, phases, and contact information. It was last updated by the Government Digital Service on 2017-10-11.
Davis Utah State University Meinel band infrared imaging camera data contains images of infrared emissions from the night sky above Davis, Antarctica. The camera, installed in the 2011/12 summer and operational from 2012, collects 320x256 pixel images approximately every ten seconds during dark periods. Observations are limited to the period between February and October each year due to continuous summer daylight.
School profile information for all schools in the Chicago Public School district for the school year 2016-2017. The dataset includes demographic counts, contact information, and performance metrics like Mean_ACT and Graduation_Rate_Mean. It was published by data.cityofchicago.org and last updated in September 2017.
Assessment data from the largest freshwater tidal wetland in Pennsylvania, collected from October 2015 to March 2018. The dataset supports monitoring of sea level rise impacts and conservation strategies. It was published by the NOAA National Centers for Environmental Information.
A CAREER award project developed physically based bounds on ice sheet contributions to sea level rise using a three-dimensional discrete element model. The model simulated worst-case granular disintegration and best-case intact ice scenarios for specific glaciers in Greenland and Antarctica. The research was conducted by AMD_USAPDC, with results distributed through the Community Ice Sheet Model and last updated in 2017.
NCEI Accession 0239035 contains physical oceanographic profile data from a University of Delaware Slocum glider deployment. The glider collected conductivity, temperature, and depth (CTD) measurements offshore of Delaware, profiling to a maximum of 100 meters over a two-week mission from August 25 to September 7, 2017. The data were aggregated and preserved by the Integrated Ocean Observing System's National Glider Data Assembly Center and the National Centers for Environmental Information.
Physical oceanographic measurements from the glider 'Sverdrup' were collected in the northern Gulf of Mexico from September 2 to 6, 2017. The data, which includes temperature, salinity, conductivity, and density, were submitted by Texas A&M University and preserved by the National Centers for Environmental Information. This archival package provides a five-day snapshot of water column properties for quantifying mixing processes.