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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,040 datasets
Puget Sound and Salish Sea waters were sampled during a 2018 cruise aboard the R/V Rachel Carson. The dataset contains discrete profile measurements of dissolved inorganic carbon, total alkalinity, nutrients, oxygen, temperature, and salinity from five time-series stations. It was collected by the Washington Ocean Acidification Center to support ocean acidification monitoring and conforms to Global Ocean Acidification Observing Network guidelines.
Washington State marine waters in the Salish Sea were sampled during a 2018 cruise aboard the R/V Rachel Carson. Twenty-seven stations provided discrete water samples for laboratory analysis of dissolved inorganic carbon, total alkalinity, nutrients, and oxygen, alongside CTD sensor data. The cruise was conducted by the Washington Ocean Acidification Center in support of ocean acidification monitoring.
NCEI Accession 0112886 includes chemical, physical, and profile data collected from the Celtic Explorer in the North Atlantic Ocean between 2009-02-06 and 2012-01-10. The dataset contains measurements of dissolved inorganic carbon, total alkalinity, dissolved oxygen, nutrients, salinity, and temperature. Data were collected by researchers from the Marine Institute and National University of Ireland, Galway as part of the COASTAL_Rockall_Trough project.
CARINA/32H120020718 includes biological, chemical, and physical data collected from the HEALY vessel in the Arctic Ocean, Beaufort Sea, and Bering Sea from 2002-07-18 to 2002-08-21. Nicholas Bates of Bermuda Institute of Ocean Sciences, Jacqueline M. Grebmeier of Chesapeake Biological Laboratory, and Lee W. Cooper of University of Maryland collected the data using CTD and bottle instruments. The dataset is part of the CARINA synthesis project for biogeochemical investigations, particularly studies involving the carbon system.
Discrete sample and profile data collected from the HEALY vessel in the Arctic Ocean, Beaufort Sea, and Bering Sea from May 15 to June 23, 2004. The dataset includes measurements of dissolved inorganic carbon, alkalinity, nutrients, chlorophyll, and physical oceanographic variables. Data were collected by Louis A. Codispoti and James H. Swift as part of the CARINA international synthesis project.
CARINA is an international data synthesis project focused on biogeochemical investigations of the carbon system. This dataset includes discrete measurements of dissolved inorganic carbon, alkalinity, nutrients, and chlorofluorocarbons collected via CTD and bottle instruments during a 2003 cruise in the Labrador Sea and North Atlantic Ocean. The data were collected by researchers from Dalhousie University and Universität Bremen.
CARINA/18SN19970924 includes discrete chemical and physical measurements from the Arctic Ocean and Beaufort Sea collected aboard the LOUIS S. ST. LAURENT in September and October 1997. The data, gathered by researchers from the Bedford Institute of Oceanography and Scripps Institution of Oceanography, include dissolved inorganic carbon, alkalinity, chlorofluorocarbons, nutrients, and temperature profiles. This dataset is part of the CARINA synthesis project for biogeochemical investigations.
Discrete profile measurements of dissolved inorganic carbon, alkalinity, nutrients, and CTD parameters collected aboard the R/V Clifford A. Barnes from April 5 to 9, 2016. Twenty-seven stations were occupied in the Salish Sea in Washington State marine waters to obtain a synoptic snapshot of key parameters related to ocean acidification. The effort was conducted by the Washington Ocean Acidification Center and NOAA, conforming to climate-quality monitoring guidelines.
GAN3D-Normalized is a dataset related to 3D data generation using Generative Adversarial Networks. It is hosted on Kaggle, but its specific contents, size, and creation details are not documented. The dataset's structure and intended use must be verified after download.
My_DataSet_YoloV2 is a dataset hosted on Kaggle. Its title suggests it is likely intended for training or evaluating the YOLOv2 object detection model. The dataset's specific content, size, and origin are not detailed in the provided metadata.
GAN3D-Unnormalized is a dataset for training and evaluating generative adversarial networks on 3D object synthesis. The dataset is published on Kaggle, but its specific size, creation date, and author are unknown. Its content likely pertains to unnormalized 3D data representations for GAN models.
A 2014-10-22 to 2014-10-25 cruise aboard the R/V Thomas G. Thompson collected discrete water column samples at fifteen stations in Washington State's Salish Sea and coastal waters. The dataset contains laboratory measurements of dissolved inorganic carbon, total alkalinity, nutrients, and oxygen, alongside CTD sensor data for temperature, conductivity, and pressure. This effort was conducted by the Washington Ocean Acidification Center and NOAA's Ocean Acidification Program to support coastal monitoring.
Chemical and physical data collected from the POLARSTERN research vessel in the Arctic Ocean from July to September 1996. The dataset includes measurements for dissolved inorganic carbon, alkalinity, pH, chlorofluorocarbons, and nutrients. It was collected by researchers from the Alfred Wegener Institute and University of Gothenburg as part of the CARINA data synthesis project.
Chemical and physical oceanographic data collected from the THALASSA research vessel in the North and South Atlantic Ocean during July to September 1999. The dataset includes dissolved inorganic carbon, alkalinity, pH, nutrients, chlorofluorocarbons, and temperature profiles. It was collected by researchers from Centre ORSTOM and University of Perpignan Via Domita as part of the CARINA (CARbon dioxide IN the Atlantic Ocean) international synthesis project.
GAN2D-Normalized likely contains image data processed for use with Generative Adversarial Networks. The dataset is hosted on Kaggle, but its specific contents, size, and creation details are not documented. Users must download the dataset to verify its exact composition and quality.
An image dataset for Arabic invoice text recognition, likely containing document scans or photos. The dataset is published on Kaggle and is associated with the PaddleOCR toolkit. Its specific size, creation date, and author are unknown.
Kaggle hosts a dataset titled 'gan2d-unnormalized'. The dataset likely contains 2D image data intended for training or evaluating Generative Adversarial Networks. The author, organization, and specific details such as size and row count are unknown.
Discrete profile measurements of dissolved inorganic carbon, alkalinity, temperature, salinity, and nutrients were collected during the USCGC Healy HLY0803 cruise in July 2008. The cruise was funded by the National Science Foundation for the Bering Sea Ecosystem Study and supported by NOAA/PMEL, Scripps Institution of Oceanography, and Bermuda Institute of Ocean Sciences. These data contribute to the CARINA and CLIVAR international data synthesis projects for biogeochemical investigations.
Chemical and physical oceanographic data collected from the METEOR research vessel in the North Atlantic Ocean during August and September 1997. The dataset includes measurements of dissolved inorganic carbon, chlorofluorocarbons, dissolved oxygen, nutrients, salinity, and temperature. It was collected by researchers from Dalhousie University, the Federal Maritime Agency Hamburg, and the Max Planck Institute as part of the CARINA and WOCE AR07Ei VEINS projects.
VGG_twin_dataset likely contains image pairs intended for training or evaluating computer vision models, particularly those based on architectures like VGGNet. Published on Kaggle, its specific content, size, and creation details are not documented. The dataset's name suggests a focus on comparative or similarity tasks within the image domain.