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Electricity generation/consumption, renewable energy, smart grid, oil/gas, carbon emissions
4,323 datasets
NOAA's National Geophysical Data Center provides 53,520 gravity station records from the National Petroleum Reserve-Alaska. Data includes Free-air and Simple Bouguer Anomalies referenced to the IGSN 71 standard. This collection was compiled from various governmental and academic sources and received in November 1980.
CTD (depth, temperature, conductivity) data, plus fluorescence and light transmission data, collected as part of the SLIX (Surface Biological Oil Slick Experiment) by the R/V WECOMA in the eastern north Pacific between October 8, 1989 and October 27, 1989. Principal Investigator was Dr. David Carlson of Oregon State University. The data were submitted on a floppy disc as ASCII files and processed and archived by NODC in F022-CTD Hi resolution file format.
A 10-year dataset from 1979 to 1989 contains measurements of marine hydrocarbon pollution in the Gulf of Mexico and Caribbean Sea. It was compiled by the Atlantic Oceanographic and Meteorological Laboratory (AOML) from contributions by multiple U.S., Caribbean, and Latin American research institutes. The submission includes three distinct data files covering beach tar, dissolved/dispersed petroleum hydrocarbons, and floating tar.
A dataset titled 'visualizing_soil' from the OpenML platform. No information is available on its contents, size, or structure.
Gulf of Mexico water column profiles from the 2010 Deepwater Horizon oil spill response. The dataset contains processed Conductivity, Temperature, and Depth (CTD) casts collected aboard the NOAA Ship Gordon Gunter to determine stratification and validate sampling models. Data is provisional and delivered in netCDF format.
2016-2018 field research photos collected at the Mississippi Canyon lease block #20 (MC20) site of a chronic oil discharge. The data were part of a NOAA study on methods to estimate oil slick coverage and thickness using remote sensing platforms. Research was funded by the U.S. Department of the Interior, Bureau of Safety and Environmental Enforcement, and NOAA.
Field research data collected in 2016, 2017, and 2018 as part of NOAA's Deepwater Horizon Lessons Learned Studies. The data were gathered at the Mississippi Canyon lease block #20 (MC20) site, which has a chronic oil discharge, to develop methods for estimating oil slick coverage and thickness. This research was funded by the U.S. Department of the Interior, the Bureau of Safety and Environmental Enforcement, and the Oil Spill Preparedness Division.
2016-2018 field research data collected as part of NOAA's Deepwater Horizon Lessons Learned Studies. The data focus on methods to estimate oil slick coverage and thickness at the Mississippi Canyon lease block #20 (MC20), a site with a chronic oil discharge. This research was funded by the U.S. Department of the Interior, Bureau of Safety and Environmental Enforcement, and the Oil Spill Preparedness Division.
NOAA's Deepwater Horizon Lessons Learned Studies produced this dataset on methods to estimate oil slick coverage and thickness. The research combined satellite imagery, airborne imagery, surface characterization, and subsurface data at the MC20 site, which has experienced a chronic oil discharge since 2004. Data shown here are from field research primarily funded by the U.S. Department of the Interior and BSEE in 2016, 2017, and 2018.
Photographic data collected by the National Oceanic and Atmospheric Administration (NOAA) as part of a study on detecting oil slick coverage and thickness. The research was conducted at the Mississippi Canyon lease block #20 (MC20), a site with a chronic oil discharge, during field campaigns in 2016, 2017, and 2018. The work was funded by the U.S. Department of the Interior and the Bureau of Safety and Environmental Enforcement.
NOAA's Deepwater Horizon Lessons Learned Studies collected these data to develop methods for estimating oil slick coverage and thickness. The research involved synoptic collection of satellite and airborne imagery, surface characterization, and chemistry at the MC20 site, which has experienced a chronic oil discharge since 2004. This specific dataset is part of field research undertaken in 2016, 2017, and 2018, funded by the U.S. Department of the Interior and NOAA.
Field research data were collected as part of NOAA's Deepwater Horizon Lessons Learned Studies on detecting oil thickness and emulsion mixtures. The dataset includes synoptic satellite imagery, airborne imagery, surface oil characterization, and water chemistry from the Mississippi Canyon lease block #20 (MC20) site, which has a chronic oil discharge. This research was funded by the U.S. Department of the Interior and the Bureau of Safety and Environmental Enforcement, with data collected in 2016, 2017, and 2018.
NOAA's MC20 Oil On Water Sampling Photos were collected as part of the Deepwater Horizon Lessons Learned Studies on detecting oil thickness and emulsion mixtures. The data include synoptic satellite and airborne imagery, surface oil characterization, and chemistry from field research at the Mississippi Canyon lease block #20 in 2016, 2017, and 2018. This research was funded by the U.S. Department of the Interior, Bureau of Safety and Environmental Enforcement, and NOAA.
NOAA's Deepwater Horizon Lessons Learned Studies produced this dataset on methods to estimate oil slick coverage and thickness. The data are part of field research at the Mississippi Canyon lease block #20 (MC20) conducted in 2016, 2017, and 2018. This research was funded by the U.S. Department of the Interior, the Bureau of Safety and Environmental Enforcement, and the Oil Spill Preparedness Division.
NOAA's Deepwater Horizon Lessons Learned Studies collected these data to develop methods for estimating oil slick coverage and thickness. The research involved synoptic collection of satellite and airborne imagery, surface oil characterization, and subsurface data at the MC20 site, which has experienced a chronic oil discharge since 2004. Data shown here are part of field research undertaken in 2016, 2017, and 2018, funded by the U.S. Department of the Interior and NOAA.
NOAA's Deepwater Horizon Lessons Learned Studies collected synoptic satellite imagery, airborne imagery, surface oil characterization, and water chemistry data at the Mississippi Canyon lease block #20 (MC20). This research, funded by the U.S. Department of the Interior and BSEE, was part of field campaigns undertaken in 2016, 2017, and 2018. The data shown here in NOAA's ERMA platform support methods to estimate oil slick coverage and thickness.
2016-2018 data collected for a NOAA study on detecting oil slick coverage and thickness using remote sensing. The dataset includes synoptic satellite imagery, airborne imagery, surface oil characterization, and subsurface oil slick data from the Mississippi Canyon lease block #20 (MC20), a site of a chronic oil discharge since 2004. This research was funded by the U.S. Department of the Interior, the Bureau of Safety and Environmental Enforcement (BSEE), and the Oil Spill Preparedness Division.
NOAA's Deepwater Horizon Lessons Learned Studies collected these photos to develop methods for estimating oil slick coverage and thickness. The data are part of field research at the Mississippi Canyon lease block #20 (MC20) undertaken in 2016, 2017, and 2018. The research was funded by the U.S. Department of the Interior, BSEE, and the Oil Spill Preparedness Division.
Gulf of Mexico data collected for NOAA's Deepwater Horizon Lessons Learned Studies on oil slick detection. The dataset includes synoptic satellite and airborne imagery, surface oil characterization, and subsurface data from the chronic MC20 oil discharge site. Research was funded by the U.S. Department of the Interior and NOAA, with field work undertaken in 2016, 2017, and 2018.
MC20 field research in the Gulf of Mexico from 2016-2018, focused on a chronic oil discharge site. The National Oceanic and Atmospheric Administration (NOAA) collected these data for a study on estimating oil slick coverage and thickness using remote sensing platforms. Research was funded by the U.S. Department of the Interior and the Bureau of Safety and Environmental Enforcement.