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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
15,813 datasets
This dataset tracks humanitarian and development activities in the Soroti District of Uganda using the 4W (Who, What, Where, When) framework. Produced by Fields Data, it documents organizational presence across various sectors and administrative provinces. The data is provided in XLSX format and was last updated in March 2026.
Humanitarian 4W data for Bulambuli District, Uganda, tracks organizational presence across sectors and province-level locations. Produced by Fields Data and updated in March 2026, the records identify which organizations are active, what they are doing, and where they are located.
This dataset tracks 4W (Who, What, Where, When) operational presence data for Lira District, Uganda, as reported by Fields Data. It documents organizational activities across various sectors and locations at the province level, with the most recent update recorded in March 2026. The data is formatted using Humanitarian Exchange Language (HXL) standards to facilitate interoperability.
Fields Data produced this 4W (Who, What, Where, When) dataset documenting humanitarian and development activities in Kamuli District, Uganda, for the year 2021. It records organizational presence across sectors and locations at the province level to facilitate coordination.
Fields Data provides this 4W (Who, What, Where, When) operational presence dataset for Mayuge District, Uganda, with records updated through March 2026. It tracks humanitarian and development organizations across various sectors and locations at the province level to coordinate aid efforts.
Rechtspraak OpenData Archive stores source-oriented archival snapshots used by Maastricht Rechtspraak data pipelines. The repository contains raw data downloaded from upstream OpenData feeds and compressed export snapshots. The dataset was last updated on 2026-04-26 by author davidwickerhf.
Water-resources data collected at approximately 1.5 million sites across all 50 U.S. states, the District of Columbia, and Puerto Rico. The dataset is provided by the U.S. Geological Survey (USGS) through its National Water Information System (NWIS). It covers measurements of surface water, groundwater, and water quality.
164 man-made reservoirs and regulated lakes are monitored globally for surface area, elevation, and water storage every 8 days. The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) satellite provides this data, processed by LPCLOUD using established Area-Elevation curves and near-infrared reflectance classifications.
Aqua MODIS satellite data provides an 8-day time series of surface area, elevation, and storage for 164 global reservoirs and regulated lakes. The dataset is produced by LPCLOUD using near-infrared reflectance from the MYD09Q1 product combined with pre-established Area-Elevation curves. It offers current data for monitoring man-made and regulated water bodies.
A registry of Canadian charities registered under the Income Tax Act, eligible to issue official donation receipts. The dataset contains financial information, activities, and details on directors or similar officials, compiled from annual T3010 returns submitted to the Canada Revenue Agency. Data was last refreshed on the platform in February 2026.
Canada Revenue Agency provides a list of charities registered under the Income Tax Act, eligible to issue official donation receipts. The dataset includes financial information, activities, and director details compiled from mandatory annual T3010 returns. The data was last refreshed on February 26, 2026.
Fundraising revenue and financial data for charitable organizations operating in Colorado, as reported to the IRS via Form 990. The Colorado Department of State has provided this data since 2011, covering assets, liabilities, contributions, and governance indicators. Columns include fundraisingamt, governmentgrantsamt, totalassetsboyamt, and materialdiversionormisuseind.
2006 data presents details on Canadian charities registered under the Income Tax Act, eligible to issue official donation receipts. The Canada Revenue Agency compiles this information from the mandatory annual T3010 Registered Charity Information Return. The dataset was last refreshed on February 26, 2026.
Canada Revenue Agency data on charities registered under the Income Tax Act, eligible to issue donation receipts. Information is compiled from the mandatory annual returns submitted by each organization. The dataset was last refreshed on February 26, 2026.
Registered Canadian charity data compiled from mandatory annual T3010 information returns submitted to the Canada Revenue Agency. It includes financial information, organizational activities, and details on directors and officials. The dataset was last refreshed on February 26, 2026.
Soil organic carbon stock data for global Mollisol regions, likely used for prediction and analysis. The dataset is provided by author Xiangtian Meng and was last updated on April 10, 2026. It is stored as a 910 KB Excel file under a CC-BY-4.0 license.
List of Canadian charities registered under the Income Tax Act and eligible to issue official donation receipts. Data includes financial information, activities, and directors/like officials compiled from mandatory annual returns submitted to the Canada Revenue Agency. The dataset was last refreshed on February 26, 2026.
Canadian charities registered under the Income Tax Act are listed with their financial information, activities, and director details. Data is compiled from the mandatory T3010 Registered Charity Information Return submitted annually to the Canada Revenue Agency. The dataset was last refreshed on February 26, 2026.
Annual financial and governance data for all Canadian charities registered under the Income Tax Act. The list is compiled from mandatory T3010 Information Returns submitted to the Canada Revenue Agency. Data was last refreshed in February 2026.
A 696.8 KB DOCX file uploaded by An-Jin Shie on March 17, 2026. The document describes a study integrating service blueprint, facial expression recognition, and TRIZ to develop the '4S' model for service redesign. The model was field-tested in three large-scale combined medical and elder care institutions in Fujian Province, China.