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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
15,905 datasets
2021 data enumerates focus group discussions and participant counts across health zones in the Democratic Republic of the Congo. It contains a small, structured record of qualitative public health activities from that year. The dataset was authored by Ruth Kallay and published on figshare.
Sediment samples from a baseline study of Mobile Bay, Alabama, conducted to inform a coastal monitoring program. The dataset includes measurements for sediment particle size, total organic carbon, and foraminifera. Data collection was funded by the Alabama Coastal Area Board and managed by NOAA, with monthly sampling from April 1980 to August 1981.
9000197 records helium, particulate organic carbon, and other chemical measurements from the NW Pacific, Philippine Sea, and East China Sea. The data was collected by the Japan Oceanographic Data Center and submitted by Dr. Osamu Yamada. Measurements span nearly five decades, from 1939 to 1988.
Operation Deep Scope 2007 collected oceanographic data during an expedition aboard the R/V SEWARD JOHNSON in the Bahamas from August 17 to August 28, 2007. The project focused on developing and deploying novel imaging technologies, including stealth cameras and fluorescence, polarization, and UV imaging systems, to explore benthic communities from shallow reefs to abyssal plains. Its interdisciplinary approach aimed to characterize deep-sea environments and locate ocean resources through visual ecology and optical oceanography.
BIOPOLE glider deployments collected pressure, temperature, conductivity, salinity, optical backscatter, and chlorophyll data in the Southern Ocean from April 2022 to March 2025. The dataset, funded by the UK's Natural Environmental Research Council, includes near-real-time, recovery, and quality-controlled delayed mode versions. Data were collected by the British Antarctic Survey and National Oceanography Centre and are archived at the British Oceanography Data Centre.
Data from 1979-04-01 to 1982-06-30 includes dissolved inorganic carbon, total alkalinity, pH, temperature, and salinity collected during NOAA Ship Miller Freeman cruises. Measurements were taken using CTD, Niskin bottles, carbon dioxide gas analyzers, and pH meters. The dataset is part of the Carbonate Chemistry of the North Pacific (NDP-029) collection led by Oregon State University.
Discrete chemical and physical measurements collected from the Soyo Maru in the North Pacific Ocean from August 20 to 27, 1997. The data includes alkalinity, dissolved inorganic carbon, dissolved oxygen, nitrate, phosphate, silicate, salinity, and water temperature. These observations were collected by researchers from the National Research Institute of Fisheries Science as part of the PACIFICA international collaborative project.
Global ocean data provides near real-time snapshots of particulate organic carbon concentration derived from satellite ocean-color reflectance. The dataset is produced by the Ocean Biology DAAC (OB_CLOUD) using a combination of meteorological and ozone ancillary data. It supports the quantification of surface carbon stocks and biogeochemical studies.
NASA Ocean Biology DAAC produces near real-time (NRT) particulate organic carbon concentration data from ocean-color reflectance. The POC data suite supports biogeochemical and export-flux studies, providing ecological context alongside variables like chlorophyll-a and sea surface temperature. It uses the best-available ancillary meteorological and ozone data, though inputs and calibration are noted as less than optimal.
Particulate Organic Carbon (POC) concentration data derived from ocean-color satellite reflectance. The dataset provides a near real-time snapshot of surface carbon stocks for biogeochemical studies. It is produced by the Ocean Biology DAAC using Suomi-NPP VIIRS satellite data.
Near real-time satellite-derived measurements of particulate organic carbon concentration in the global ocean. The data is produced by the Ocean Biology DAAC using Suomi-NPP VIIRS instrument inputs and provides a snapshot within a single orbit. It supports the quantification of surface carbon stocks and biogeochemical studies.
Near real-time satellite-derived maps of Particulate Organic Carbon (POC) concentration in the global ocean. The data is produced by the Ocean Biology DAAC using inputs from meteorological and ozone data for a snapshot within a single orbit. POC is used to quantify surface carbon stocks and support biogeochemical studies.
Near real-time (NRT) global satellite data of Particulate Organic Carbon (POC) concentration in the ocean surface, produced by the Ocean Biology DAAC. The data is used to quantify surface carbon stocks and support biogeochemical studies. Inputs and calibration for this NRT product are described as less than optimal, providing a snapshot from a short time period within a single satellite orbit.
Near real-time (NRT) satellite data provides a snapshot of Particulate Organic Carbon (POC) concentration in the global ocean. The Ocean Biology DAAC produces this product using the best-available ancillary meteorological and ozone data, though with less-than-optimal calibration. POC is used to quantify surface carbon stocks and support biogeochemical studies.
Near real-time satellite-derived measurements of Particulate Organic Carbon (POC) concentration in the global ocean. The data is produced by the Ocean Biology DAAC using NOAA-21 VIIRS sensor data and provides a snapshot within a single orbit. It is used to quantify surface carbon stocks and support biogeochemical studies.
Near real-time (NRT) satellite-derived maps of Particulate Organic Carbon (POC) concentration in the global ocean surface. The Ocean Biology DAAC produces these products using the best-available ancillary meteorological and ozone data, though the inputs and calibration are noted as less than optimal. POC data supports the quantification of surface carbon stocks and biogeochemical studies.
Near real-time (NRT) satellite-derived data of Particulate Organic Carbon (POC) concentration in the global ocean. The Ocean Biology DAAC produces this data suite using inputs from the NOAA-20 VIIRS sensor and ancillary meteorological and ozone data. POC data is used to quantify surface carbon stocks and support biogeochemical studies.
Near real-time satellite data provides a snapshot of Particulate Organic Carbon concentration in the global ocean surface. The Ocean Biology DAAC produces this product using the best-available ancillary meteorological and ozone data. POC is used to quantify surface carbon stocks and support biogeochemical studies.
Near real-time (NRT) satellite data provides a short-period snapshot of Particulate Organic Carbon concentration in the global ocean. The Ocean Biology DAAC produces this product using the best-available ancillary meteorological and ozone data, though with less-than-optimal calibration. POC data supports the quantification of surface carbon stocks and biogeochemical studies.
A 2004 survey of water quality in Huron County, Michigan, conducted by the U.S. Geological Survey (USGS) in cooperation with the county. Samples were collected from the Pinnebog and Pigeon River watersheds from April through November for microbiological, chemical, and physical analysis. The work follows a prior USGS study from 1988-1990 that detected agricultural herbicides like atrazine in surface water.