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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
15,232 datasets
Staffing of the Department of Education of Nemyriv City Council. The dataset originates from the States site of Ukraine and was last updated on July 29, 2019. Its specific contents are described only by its title, suggesting it contains information related to personnel within the city's education administration.
1 curated repository indexing hundreds of face-related algorithms, datasets, and research papers. The collection organizes resources into specialized categories including face detection, alignment, recognition, and reconstruction.
Service area assignments for educational institutions in Ukraine, published by the States site of Ukraine. The dataset was last updated on July 23, 2019. The specific number of institutions and the format of the service area data are not detailed in the available metadata.
A list of vocational and technical education institutions in Ukraine's Vinnytsia region, last updated on 2019-07-18. The dataset includes information such as institution code, address, and head, sourced from the States site of Ukraine. It is provided in spreadsheet formats like XLSX and EXCEL XLS.
The Department of Education and Science of the Ternopil City Council provides data on the implementation of its local budget programs for the year 2018. The dataset was published on the States site of Ukraine and last updated on 2019-07-15 07:52:19.749751. The data likely contains financial execution details for educational and scientific initiatives funded by the city.
A collection of experimental data from a motor adaptation study where subjects made reaching movements under force perturbations dependent on limb position or velocity. It includes measurements of feedforward motor output decay from error-clamp trials, used to analyze the relative stability of motion state-dependent learning. The data was generated by Eghbal A. Hosseini and published in 2019.
589 multi-exposure image sequences containing 4,413 high-resolution images paired with high-quality reference images generated via fusion. The dataset covers diverse scenes including indoor, outdoor, and architectural environments to train models for single-image contrast enhancement.
Collaborative Research data from a 2017 oceanographic cruise to the Ross Sea polynyas, led by institutions including UT-San Antonio and Columbia University. The project deployed UASs, AUVs, and ROVs to measure atmospheric, oceanic, and sea ice properties during the austral fall. Its main goal is to improve estimates of sea ice production and water mass transformation in a region showing consistent sea ice increases.
This GitHub repository curated by YvanYin serves as a directory of external links to datasets for various computer vision tasks. Last updated in September 2019, the resource organizes pointers to data for deep learning and machine learning research. It functions as a meta-list rather than a direct host for raw image or label files.
Py Har is a human activity recognition project developed by pbmiguel in 2019, utilizing Python for sensor-based data analysis. The repository focuses on transfer learning and unsupervised domain adaptation techniques for classifying physical movements.
Data on budget programs and their implementation reports from institutions under the Department of Education and Science of the Ternopil City Council. The dataset was last updated on 2019-07-02 and is provided via the States site of Ukraine on the eu_open_data platform.
A directory of Kropyvnytskyi Higher Vocational School, last updated on 2019-06-20 09:08:07.372428. It includes institutional identification codes, official websites, email addresses, phone numbers, and location addresses. The data is provided by the States site of Ukraine and is available in ЕХEL format.
Focusing on the domain of Artificial Intelligence in Education (AIED), this repository was updated in August 2019 by author koofree to aggregate datasets and research papers. It provides resources for studying Intelligent Tutoring Systems, adaptive learning, and AI-driven tutoring.
A 2019 dataset from the State Institutions of Higher Education in Ternopil, Ukraine, containing information on pedagogical workers at a preschool educational institution. The data is provided in JSON format by the States site of Ukraine.
Data on the teaching staff of the preschool education institution Ü31, sourced from the States site of Ukraine. The dataset was last updated on 2019-06 12 06:51:03.807628 and is available in JSON format.
Kolomyia City Council in Ukraine published this directory of educational information on 2019-06-27. The data is provided in an EXCEL XLS format via the eu_open_data platform. The specific contents and scale of the directory are not detailed in the available metadata.
AMC is a dataset for attention-guided multi-modal correlation learning in image search. The dataset was created by kanchen-usc and last updated in July 2019. Specific details on volume, format, and content are not provided.
A dataset from the French Bureau de Recherches Géologiques et Minières (BRGM) describes the real-world entities that represent potential natural hazard risks. The data, last updated on 2019-05-23, characterizes risk origins such as watercourses or geologically unstable areas to define risk-exposed areas for the PPRN (Plan de Prévention des Risques Naturels). This information underpins the mapping of risk pools for the Coteau de Moselle area in Chaligny (54111).
Leeds schools' key contact information, compiled by the Government Digital Service. The dataset is available in EXCEL XLS and CSV formats under the Open Government Licence. It was last updated on 2019-04-01 and is no longer being maintained.
A 2019 noise map from the Bureau de Recherches Géologiques et Minières identifies areas where residential, educational, and health buildings exceed Lden noise limit values. It is based on the European Directive 2002/49/EC and uses digital models incorporating traffic, topology, and meteorological data. The map cross-references noise calculations with demographic data to estimate population exposure.