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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,984 datasets
1.6 Information about the accounting system, types of information that is stored by the State Institution 'State Educational Institutions' is a dataset from the States site of Ukraine. It describes the administrators, responsible officials, software, and types of information stored in the public accounting system for state educational institutions. The dataset was last updated on September 28, 2020.
The dataset from the Ministry of Education and Science of Ukraine contains a list of preschool, secondary, extracurricular, and vocational educational institutions. It includes statistical information reported by these institutions in accordance with official forms. The data was last updated on 2020-09-29 07:42:36.727322.
The dataset contains data on the receipt and use of charitable assistance for the communal institution "Preschool educational institution Ü30 of Vinnytsia City Council". It was published on the States site of Ukraine and last updated on October 5, 2020. The data is provided in CSV format.
Ukrainian data describing the accounting system and information types used by the State Institution 'State Educational Institutions Ü 23 VMR'. The dataset likely contains details on software, responsible officials, and web resource links. It was published on the States site of Ukraine and last updated in September 2020.
Data from 2020 on the placement of funds by higher and vocational educational institutions into bank deposit accounts. The dataset originates from the States site of Ukraine and was last updated on October 8, 2020. It likely contains financial information related to institutional banking activities.
Physical oceanographic measurements collected by a University of South Florida glider in the North Atlantic Ocean. The dataset contains profiles of temperature, salinity, conductivity, and density from a single deployment. Data were submitted by the Integrated Ocean Observing System's National Glider Data Assembly Center and archived by NOAA's National Centers for Environmental Information in August 2020.
A dataset from the French Geological Survey (BRGM) last updated in 2020 characterizes the real-world entities that represent potential natural risks. The origin of risk may correspond to features like rivers or geologically unstable areas. This data underpins the definition of risk pools and exposed areas for the Prevention Plan for Natural Risks (PPRN) on the Castelroussine agglomeration.
A 2020 interdisciplinary study by AMD_USAPDC investigates Antarctic coastal polynyas, linking physical ice and ocean dynamics to biological variability in phytoplankton and penguin populations. The project employs a Regional Ocean Modeling System to analyze the effects of winds, water intrusion, ice formation, and stratification on these ecosystems. It aims to establish a baseline for understanding how local and large-scale environmental changes impact these crucial Antarctic features.
2020-11-10 is the last update date for this collection of completed privacy impact assessments from the U.S. Department of State. The dataset contains assessments that evaluate privacy risks, though the specific number of records and data structure are unknown. It is provided in HTML format.
Spray glider sp034 collected physical oceanographic profile data in the coastal waters of California. The Monterey Bay Aquarium Research Institute (MBARI) and the US Navy Naval Postgraduate School deployed the glider from July 7 to August 21, 2020. Data was archived by the National Centers for Environmental Information (NCEI) after processing by the IOOS National Glider Data Assembly Center.
An organizational structure document for a communal out-of-school educational institution in Ukraine. The dataset was published by the States site of Ukraine on the eu_open_data platform. Its last update was recorded on September 21, 2020.
595 pairs of real-world low-resolution and high-resolution images captured using Canon 5D Mark IV and Nikon D810 DSLR cameras. The dataset provides ground truth for super-resolution tasks across x2, x3, and x4 scaling factors, utilizing optical zoom rather than synthetic degradation.
This repository consists of a collection of deep learning study notes and technical documentation for the TensorFlow and PyTorch frameworks. It categorizes practical usage experiences and summaries of emerging AI technologies curated by the author.
A slide pack from the Government Digital Service, last updated August 14, 2020, covers the unequal impact of COVID-19 on Black, Asian, and other or mixed ethnicity (BAME) communities in educational contexts. The data includes lived experiences from schools and the voluntary sector, opportunities for BAME graduates from a Carnegie UK Trust report, and first-hand accounts from young people via roundtable discussions.
July 2020 data from a glider deployment in the North Atlantic Ocean, measuring physical oceanographic properties. The dataset was collected by the University of South Florida's Ocean Technology Group and archived by NOAA's National Centers for Environmental Information. It contains trajectory and profile data from a three-week deployment between July 16 and August 7, 2020.
Subordinate preschool institution data for Ukraine in 2019, likely containing counts of groups, children, and pedagogical workers by institution. The dataset was published by the States site of Ukraine and last updated on August 13, 2020. It is available in an Excel (.XLSX) format.
A list of directors and deputy directors for secondary schools in the Volodymyrets district of Ukraine, published on the official state data portal. The data was last updated on August 12, 2020. It is provided in an Excel XLSX file format.
2 core Python dependencies, NumPy and Matplotlib, form the foundation of this minimalistic machine learning library. It provides a streamlined codebase for implementing and visualizing fundamental ML algorithms without the complexity of larger frameworks.
A dataset on pedagogical workers at the sanatorium preschool educational institution Ü 65 'Lukomoria' in Ukraine. It includes identifiers, names, gender, qualifications, and work experience. The data was published on the States site of Ukraine and last updated on 2020-08 12.
Managing an unspecified number of tensor records for machine learning, this framework by vicolab provides high-speed data access via LMDB storage. Released in 2020, it facilitates the management of multi-dimensional data for deep learning applications.