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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
15,271 datasets
Modeled export from coastal vegetated ecosystems shows variability by orders of magnitude across spatial scales, species, seasons, and carbon forms. The data reveals rapid export of dissolved organic carbon to the shelf break, contrasting with sinking particulate carbon that remains nearshore. This dataset, published in Science Advances in 2025, originates from Fisheries and Oceans Canada and was last updated in March 2026.
Microcosm experiments using mangrove sediments under a salinity gradient of 0-30 psu quantify nitrogen transformation rates and carbon dynamics. The dataset includes measurements from geochemical analysis, functional gene quantification, and 15N isotope tracing to assess microbial processes like denitrification, anammox, and DNRA. It demonstrates how freshening from 30 to 10 psu reduces nitrogen removal efficiency by approximately 20% and impacts carbon preservation.
A benchmark for video question answering and temporal grounding, likely sourced from the NExT-GQA dataset. The dataset was created by Kwai-Keye and last updated on Hugging Face on 2026-05-20. It is designed to evaluate models that perform on-demand temporal grounding to locate relevant video segments before answering questions.
Hourly minimum river surface levels are recorded across Colombia's hydrological stations. The data is provided as raw, unvalidated sensor readings by Colombia's Institute of Hydrology, Meteorology and Environmental Studies (IDEAM). Records include measurements such as 'ValorObservado' and 'FechaObservacion'.
200 questions were answered by multiple models in a structured five-round deliberation process. The dataset likely contains explicit reasoning chains, symbolic logic, confidence scores, and final answers from each model, along with peer critiques. It was created by Billyrdavis1985 and last updated on Hugging Face in May 2026.
Northeast China black soil region data supports the study of soil organic carbon trends and driving factors. The dataset includes spatiotemporal dynamics of soil organic carbon and its response to straw returning practices. It was authored by Meng Lu and last updated on 2026-05-01.
Monthly spectral outgoing longwave radiation data derived from the Atmospheric InfraRed Sounder (AIRS) instrument on the EOS-Aqua spacecraft. The algorithm developed by Xianglei Huang at the University of Michigan computes all-sky and clear-sky OLR spectrally resolved at 10 cm-1 bandwidth. The data is presented on a 2x2 degree latitude/longitude grid.
Version 2.0 of calibrated data from the New Horizons Student Dust Counter instrument during the Pluto cruise mission phase. The dataset includes science data from hibernation periods, Annual Checkouts, and scheduled STIM and Noise calibrations, with updates from newer SPICE kernels and review resolutions. Observations added in this version cover the cruise period from August 2014 through January 2015.
The Ivano-Frankivsk District State Administration's organizational structure and maximum employee counts are detailed in this dataset. Data is updated annually to reflect changes in the administration's composition. The dataset originates from the States site of Ukraine and was last updated on May 8, 2026.
Southeastern Yukon hosts geological data for the Canyon property, detailing mineral occurrences and structural features. The Government of Yukon published this report, which was last updated on April 17, 2026. It describes galena and pyrrhotite mineralization in a quartz-carbonate breccia beneath rusty limestone.
The Cassini Radio and Plasma Wave Science (RPWS) edited full resolution data set includes all wideband waveform data for the entire Cassini mission. This data set includes uncalibrated values for each wideband channel for each sensor for all times during the mission, including flybys of Venus, Earth, and Jupiter, interplanetary cruise, and the entire Saturn tour. Data are acquired from the RPWS Wideband Receiver and presented in fixed-length time series records.
Geotail Weimer propagated solar wind data provides 1-minute resolution measurements of solar wind parameters propagated to a point near Earth's bow shock. The dataset was constructed by Dr. J.M. Weygand for Prof. R.L. McPherron under NSF grants and uses a minimum variance technique for propagation. It was last updated on March 13, 2026.
Geotail Weimer propagated solar wind data provides 1-minute resolution measurements of solar wind parameters, including time delay, cosine angle, and goodness information, after propagation to a point near Earth's bow shock. The dataset was constructed by Dr. J.M. Weygand for Prof. R.L. McPherron under National Science Foundation grants ATM 02-1798 and ATM 02-08501. It uses a propagation method based on the minimum variance technique of the magnetic field, as outlined in Dan Weimer et al. [2003; 2004].
Propagated solar wind data from the IMP-8 satellite, linearly interpolated to a 60-second resolution in GSM coordinates. The data was constructed by Dr. J.M. Weygand for Prof. R.L. McPherron under National Science Foundation grants ATM 02-1798 and ATM 02-08501. The propagation method is based on the minimum variance technique described by Dan Weimer et al. in 2003 and 2004.
Propagated solar wind data from the IMP-8 satellite, linearly interpolated to 60-second resolution in GSE coordinates. The data was constructed by Dr. J.M. Weygand for Prof. R.L. McPherron under NSF grants and uses a minimum variance propagation technique to estimate delays from the satellite to a point just outside Earth's bow shock. It was primarily used in superposed epoch studies of space weather phenomena.
NASA's ISEE-1 satellite data provides tri-axial fluxgate magnetometer measurements in GSE coordinates, propagated to a position just outside the Earth's bow shock. The data was constructed by Dr. J.M. Weygand for Prof. R.L. McPherron under NSF grants ATM 02-1798 and ATM 02-08501, primarily for superposed epoch studies. The solar wind data is linearly interpolated to a 60-second resolution using a method based on the minimum variance technique.
Propagated solar wind data from the ISEE-1 satellite at 1-minute resolution. The dataset includes linearly interpolated time delay, cosine angle, and goodness information, propagated to a position just outside the nominal bow shock. It was constructed by Dr. J.M. Weygand for Prof. R.L. McPherron under NSF grants and is based on a minimum variance technique for predicting IMF propagation delays.
ISEE-1 satellite data processed using a minimum variance technique to propagate solar wind measurements to a point just outside Earth's bow shock. The data, originally constructed by Dr. J.M. Weygand for NSF studies, has been linearly interpolated to a uniform 60-second resolution in GSM coordinates. This dataset was used in superposed epoch studies for space weather research.
NASA data propagated to a position just outside Earth's nominal bow shock using a minimum variance technique. The dataset contains linearly interpolated time delay, cosine angle, and goodness information at 1-minute resolution, originally constructed for National Science Foundation studies. It was last updated in March 2026.
This dataset examines how different substrate controls influence the temperature sensitivity of soil inorganic carbon dissolution. It provides experimental data linking soil management practices to carbon cycle responses under varying thermal conditions.