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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
15,846 datasets
Moored instrument data from the Gulf of Mexico captures time-series measurements of ocean currents, water chemistry, phytoplankton, and zooplankton. The dataset was submitted by Texas A&M University as part of the Brine Disposal project, with collection occurring from 1979-08-30 to 1981-08-01. Data were processed by the National Oceanographic Data Center into standard formats including F005 for current meters and F028 for phytoplankton.
October 1977 to August 1979 data from the Gulf of Mexico Brine Disposal project includes current direction, chemical parameters, benthic organisms, and wind wave spectra. Data were collected via moored current meter casts and other instruments by Texas A&M University and processed by the National Oceanographic Data Center (NODC) into standard formats.
Gulf of Mexico data from January 1981 to July 1982 includes current direction, water chemistry, and benthic organism measurements from moored instruments. Data was submitted by Texas A&M University for the Brine Disposal project and processed by the National Oceanographic Data Center into standard formats. It contains time-series current meter data, physical and chemical water column parameters, and species-level benthic survey information.
Oceanographic time series and benthic survey data were collected in the Gulf of Mexico from March 1980 to July 1981. The dataset includes current direction and speed, water chemistry parameters like salinity and oxygen, and counts of bottom-dwelling organisms. Data were submitted by Texas A&M University for the Brine Disposal project and processed by the National Oceanographic Data Center.
Moored current meter casts collected data on current direction, benthic organisms, and wind wave spectra in the Gulf of Mexico from March 25, 1977 to February 1, 1980. Texas A&M University submitted the data as part of the Brine Disposal project. The National Oceanographic Data Center processed it into standard formats F005, F132, and F191.
Moored current meter casts collected data on current direction, benthic organisms, temperature, and wind direction in the Gulf of Mexico. The dataset covers the period from September 22, 1977, to November 30, 1978, and was submitted by Texas A&M University for the Brine Disposal project. Data were processed by the National Oceanographic Data Center into standard formats F005, F132, and F191.
Moored current meter casts and benthic organism surveys were conducted in the Gulf of Mexico from July 15, 1980 to March 20, 1981. The dataset was submitted by Texas A&M University as part of the Brine Disposal project and processed by the National Oceanographic Data Center (NODC) into standard formats F005 and F132.
Moored instrument data from the Gulf of Mexico captures water physics, chemistry, phytoplankton, and zooplankton measurements. The dataset was submitted by Texas A&M University for the Brine Disposal project and covers the period from April 17, 1980 to July 17, 1981. Data is processed into NOAA NODC standard formats F004, F028, F069, and F124.
1978-02-01 to 1979-05-03 data collection includes bacteriological water column studies, benthic organism surveys, and meteorological and ocean wave spectra from moored buoys in the Gulf of Mexico. Submitted by Texas A&M University for the Brine Disposal project, the data were processed by the NODC into standard F009, F132, and F191 formats. The records detail environmental conditions, species abundance, biomass, and wave frequency spectra.
TICDATA2000 is a dataset supplied by Sentient Machine Research based on a real-world business problem. It contains 5,822 customer records for training, each with 86 variables including socio-demographic data derived from zip codes and product ownership information. The target variable is 'CARAVAN: Number of mobile home policies', with a separate evaluation set of 4,000 records.
440 expert-verified scientific questions spanning 22 disciplines, partitioned into Q-Mirror-Expert (310 questions) and Q-Mirror-Grad (130 questions). This benchmark dataset, created by Q-mirror, is for evaluating the transformation of text-only QA pairs into multi-modal QA pairs and includes JSONL annotation files and generated PNG images. It was last updated on 2026-05-06.
Food Prices for the Democratic People's Republic of Korea, sourced from the FAOSTAT bulk data service. The dataset covers categories including Deflators and Exchange rates and is published by the Food and Agriculture Organization (FAO) of the United Nations under a CC-BY-3.0-IGO license. It was last updated on the platform on 2026-03-16.
Bi-monthly water chemistry data from 2014-05-27 to 2015-09-03, collected from four coral reefs and three navigational inlets along the southeast Florida coast. The dataset includes measured parameters like temperature, salinity, turbidity, total alkalinity, dissolved inorganic carbon, and nutrients, with derived carbonate system variables such as aragonite saturation state and pCO2. It was produced by researchers supported by NOAA's Coral Reef Conservation Program and published in Frontiers in Marine Science.
Md Shihab Reza's 9.5 KB Excel file compares classification performance across research studies on DeepFake face detection, including results for the proposed ARC-Net model. The dataset was published on the figshare platform in April 2026.
Acid Neutralising Capacity (ANC) classification data for river water bodies under the EU Water Framework Directive. The dataset contains summary classifications, likely calculated from pH, dissolved organic carbon, and alkalinity measurements, and assessed against environmental quality standards. It is a subset of the WFD Classification Status Cycle 2 product, attributed to the UK Environment Agency.
European lake ammonia classification data derived from the Water Framework Directive (WFD) Cycle 2 assessment. Ammonia levels are classified into status categories (High, Good, Moderate) based on waterbody-specific standards considering lake typology, altitude, and alkalinity. The dataset is provided by the Environment Agency and the Government Digital Service.
Replication Data for 'Officeholding Requirements and the Fiscal Consequences of Democratization' is hosted by Harvard Dataverse. The dataset likely contains historical information on government spending and leaders' educational attainment used to analyze the political economy of first-wave democratization. It was last updated on April 9, -2026.
Chemical and physical oceanographic data collected from the MIRAI research vessel in the Bismarck Sea, North Pacific, and South Pacific from 2005-05-25 to 2005-07-02. The dataset includes 18 measured variables such as dissolved inorganic carbon, alkalinity, pH, CFCs, and nutrients, collected using instruments like CTDs, titrators, and spectrophotometers. Data were gathered by researchers from JAMSTEC and the Meteorological Research Institute as part of the CLIVAR Global Ocean Carbon and Repeat Hydrography Program.
Discrete sample and profile data collected from NOAA Ship Bell M. Shimada in the Northeast Pacific Ocean from September 4 to 17, 2012. The dataset includes measurements of dissolved inorganic carbon, total alkalinity, nutrients, chlorophyll A, and physical water properties. It was collected by researchers from NOAA's Pacific Marine Environmental Laboratory and Oregon State University as part of the WCOA2012 cruise.
Discrete water sample and profile data collected from the KEIFU MARU research vessel in the North Pacific Ocean, Philippine Sea, and South Pacific Ocean during January and February 2008. The dataset includes measurements for dissolved inorganic carbon, alkalinity, pH, nutrients, chlorofluorocarbons, and other physical and chemical parameters. Data were collected by Kenzou Isa of Kobe Marine Observatory and Masao Ishii of Meteorological Research Institute as part of the PACIFICA international ocean carbon synthesis project.