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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
15,238 datasets
Sewage pollution data collected along the Puako and South Kohala shoreline of Hawaii Island from 2007 to 2017. In situ measurements and laboratory deductions from field samples were funded by NOAA Coral Reef Conservation Program and other partners. The original files are Microsoft Excel spreadsheets with CSV copies provided by NCEI.
Hourly continuous measurements of pH, partial pressure of carbon dioxide (pCO2), salinity, and temperature were collected at the University of Texas Marine Science Institute Research Pier in the Aransas Ship Channel. Sensors were deployed using a specific ex situ setup to mitigate biofouling, with water pumped from approximately 1 meter below the sea surface. Funding for the project came from the United States Environmental Protection Agency's National Estuary Program via the Coastal Bend Bays and Estuaries Program.
Physical trajectory profile data from glider ud_134 deployed by the University of Delaware. The dataset contains CTD (conductivity, temperature, depth) measurements collected in the Mid-Atlantic Bight from July 25 to August 14, 2017. It was submitted to the National Centers for Environmental Information (NCEI) via the Integrated Ocean Observing System's National Glider Data Assembly Center (IOOS NGDAC).
Conductivity, Temperature, and Depth (CTD) measurements were collected by a Slocum glider (ru32) operated by Rutgers University's Center for Ocean Observing Leadership. The deployment occurred in the Monterey Bay National Marine Sanctuary from June 22 to August 1, 2017. Data were archived by NOAA's National Centers for Environmental Information (NCEI) after processing by the IOOS National Glider Data Assembly Center.
Physical oceanographic measurements collected by the Stommel glider across the Texas shelf in the Gulf of Mexico. The dataset includes properties like temperature, salinity, conductivity, and density. Data were gathered by Texas A&M University's Geochemical and Environmental Research Group from July 27 to August 5, 2017, and archived by NOAA's National Centers for Environmental Information.
Physical trajectory profile data from the glider Gichigami, deployed by the University of Minnesota - Duluth Large Lakes Observatory. The dataset contains oceanographic measurements of temperature, conductivity, salinity, and density collected in the Great Lakes. Data was gathered from July 14 to July 21, 2017, and archived by NOAA's National Centers for Environmental Information.
A geospatial dataset showing the location of children's services in the London borough of Lambeth. The dataset was published by the Government Digital Service and was last updated on August 3, 2017. It is available in multiple formats including KML, GeoJSON, and CSV.
Geospatial data from the Government Digital Service shows the location of children's services in the London borough of Lambeth. The dataset was last updated in August 2017 and is available in multiple formats including KML, GeoJSON, and CSV. Its primary purpose is to map the distribution of early childhood education and care facilities.
Sediment samples from Nu'uuli Pala Lagoon in American Samoa quantify a suite of organic and inorganic chemical contaminants. The dataset covers 13 sampling sites from a one-time effort in July 2017. Data were collected and published by NOAA's National Centers for Coastal Ocean Science and archived by the National Centers for Environmental Information.
July 3-5, 2017 data from a Slocum glider deployment in the Great Lakes, capturing physical oceanographic profiles. The dataset contains measurements of temperature, conductivity, salinity, and density. It was gathered by the University of Minnesota Duluth's Large Lakes Observatory and archived by NOAA's National Centers for Environmental Information.
NOAA_NCEI provides profile data from CTD casts collected during a 2017 SEAMAP cruise in the Gulf of Mexico. The Southeast Area Monitoring and Assessment Program (SEAMAP) is a State/Federal/university initiative for fishery-independent data. Measurements include water temperature, salinity, and dissolved oxygen from June to July 2017.
Created by GitHub user hayatoy and last updated in September 2017, this repository provides datasets specifically curated for use with TensorFlow, Keras, and Google ML Engine. The collection serves as a historical resource for deep learning training data, though specific record counts and internal schemas are not documented in the source metadata.
Physical trajectory profile data from the glider Stommel was collected by Texas A&M University's Geochemical and Environmental Research Group. The dataset contains measurements of oceanographic properties like temperature, salinity, conductivity, and density. It was gathered during a deployment in the Gulf of Mexico from June 27 to July 5, 2017, and archived by NOAA's National Centers for Environmental Information.
Physical trajectory profile data from the glider Gichigami deployed by the University of Minnesota - Duluth's Large Lakes Observatory in the Great Lakes from June 21 to June 26, 2017. The dataset contains measurements of temperature, conductivity, salinity, and density. Data were assembled by the IOOS National Glider Data Assembly Center and archived by NOAA's National Centers for Environmental Information.
AU_AADC conducted a study assessing the performance of diffusive gradients in thin-films (DGT) samplers for measuring cadmium, copper, nickel, lead, and zinc in Antarctic marine conditions. The research involved three sets of experiments to determine metal diffusion coefficients, assess uptake with microalgae, and model toxicity. The dataset was last updated in June 2017.
Physical oceanographic measurements were collected by the glider 'Sam' in the Gulf of Mexico from May 16 to June 11, 2017. The University of South Florida deployed the glider, and data was archived by NOAA's National Centers for Environmental Information. The dataset contains parameters such as temperature, salinity, conductivity, and density.
Field observations and modeling data focus on the McMurdo Shear Zone, a 5-10 km wide crevassed region between the McMurdo and Ross ice shelves. The dataset integrates ground-penetrating radar surveys, GPS measurements, and remote sensing to analyze flow, stress, and crevasse structure. Supported by NSF award and conducted by AMD_USAPDC, with field work in Antarctica and data last updated in May 2017.
Fashionista Dataset provides images for training machine learning models. The dataset was authored by 'grahamar' and last updated on August 21, 2017.
Spray glider profile data contains measurements of physical oceanographic properties like temperature, salinity, conductivity, and density. The data was collected by the Monterey Bay Aquarium Research Institute and the US Navy Naval Postgraduate School using glider sp034. Observations were recorded in the coastal waters of California from April 5 to May 31, 2017.
Slocum glider RU28 collected over 2 weeks of physical oceanographic measurements in the shallow coastal waters of New Jersey. The dataset, archived by NOAA's National Centers for Environmental Information, provides CTD data on temperature, salinity, conductivity, and density from a 2017 deployment. Rutgers University's Center for Ocean Observing Leadership deployed the glider for the New Jersey Department of Environmental Protection's yearly coastal oxygen monitoring program.