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The Uganda Bureau of Statistics ("UBOS") is an agency of the Ugandan government. Formed by the Uganda Bureau of Statistics Act, 1998, the agency is mandated to ...
KIT AIS Data Set Multiple labeled training and evaluation datasets of aerial images of crowds. Images manually labeled to show paths of individuals through crowds. ~ 150 Images with paths People tracking, aerial tracking 2012 [151] [152] M. Butenuth et al. Wilt Dataset Remote sensing data of diseased trees and other land cover.
Website Afghanistan: Central Statistics Organization: nsia.gov.af Bahrain: Information & eGovernment Authority - Bahrain Open Data Portal : data.gov.bh Bangladesh: Bangladesh Bureau of Statistics: bbs.gov.bd Bhutan: National Statistics Bureau nsb.gov.bt Brunei: Department of Economic Planning and Statistics deps.gov.bn Cambodia
The USGS Gap Analysis Program maintains four primary data sets: land cover, protected areas, species and aquatic. The GAP Land Cover Data Set is the most complete map ever produced of vegetative associations for the US. Classified into 551 ecological systems, and 32 modified ecological systems (where human impacts have had an effect).
Chris Ndatira Mukiza is a Ugandan economist, who is the executive director of the Uganda Bureau of Statistics, the government agency responsible for the collection, analysis, dissemination and storage of nationally important data. [1] [2]
HuffPost Data Visualization, analysis, interactive maps and real-time graphics. Browse, copy and fork our open-source software.; Remix thousands of aggregated polling results.
Google Dataset Search is a search engine from Google that helps researchers locate online data that is freely available for use. [1] The company launched the service on September 5, 2018, and stated that the product was targeted at scientists and data journalists .
Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.