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Electricity generation/consumption, renewable energy, smart grid, oil/gas, carbon emissions
4,162 datasets
Petroleum and geothermal energy title applications pending approval under the Petroleum and Geothermal Energy Resources Act 1967 in Western Australia. The dataset is managed by the Department of Energy, Mines, Industry Regulation and Safety and was last updated in March 2026.
NOPTA data delivered to CSIRO details the location of active and decommissioned submarine petroleum pipelines in Australian waters. The dataset is made publicly available by the NESP Marine Biodiversity Hub. It was last updated in April 2026.
Submarine petroleum pipeline locations in Australian waters include both active and decommissioned assets. The data was delivered by NOPTA to CSIRO and is publicly available via the NESP Marine Biodiversity Hub. The dataset was last updated on April 4, 2026.
Filter Bank spectra and peak/average values for electric and magnetic field data from the THEMIS-B satellite probe. The data is processed through a 12-13 stage cascade system, with outputs stored in six frequency bins ranging from 2.26 Hz to 2.689 kHz. The dataset is provided by NASA with contributions from the University of California, Berkeley, the Laboratory for Atmospheric and Space Physics, and the Centre d'étude des environnements terrestre et planétaires.
Filter Bank spectra and peak/average values for electric and magnetic field signals from the THEMIS-C satellite probe. The data is processed through a 12-13 stage cascade system with sampling frequencies from 2 Hz to 16,384 Hz, and stored in six specific frequency bins. The dataset is provided by NASA with contributions from the University of California, Berkeley, the Laboratory for Atmospheric and Space Physics, and the Centre d'étude des environnements terrestre et planétaires.
NASA's THEMIS-E spacecraft data provides digitally computed spectra for electric and magnetic fields using a multi-stage Filter Bank algorithm. The instrument processes signals from the Electric Field Instrument and Search Coil Magnetometer, producing average and peak values in six frequency bands from 2.26 Hz to 2.689 kHz. The dataset was last updated in March 2026 and involves contributions from the University of California, Berkeley, the Laboratory for Atmospheric and Space Physics, and the Centre d'étude des environnements terrestre et planétaires.
MMS magnetic field power spectral density (BPSD) data is computed onboard the MMS 1 spacecraft by its Digital Signal Processor. The data is derived from Search Coil Magnetometer (SCM) signals via a 1024-point FFT algorithm, producing spectra with 88 pseudo-logarithmic frequency bins and a dynamic range over 120 dB. This Level 2 (L2) dataset in slow mode is provided by the National Aeronautics and Space Administration and was last updated in March 2026.
NASA's Magnetospheric Multiscale mission onboard Digital Signal Processor computes magnetic field power spectral density from Search Coil Magnetometer signals. The data product uses a 1024-point FFT algorithm on waveform data, producing spectra averaged over intervals from 1 to 16 seconds. The dataset was last updated on March 13, 2026.
A macroeconomic study of Iraq's non-oil export diversification from 2003 to 2023, introducing a novel Diversification Score (DS) index. The analysis was conducted by Ribaz Biro and published in April 2026. It provides a measure of export breadth and stability beyond the traditional Herfindahl–Hirschman Index.
Santa Barbara County, California, was the site of a pipeline rupture on May 19, 2015, releasing an estimated 21,000 gallons of oil into the Pacific Ocean. This dataset from NOAA and partners represents the locations of forensic matches to a specific oil source (line 901) identified in a collaborative chemical fingerprinting study of 22 spill samples and 7 natural seep oils collected one to 14 days after the incident.
NASA's Magnetospheric Multiscale (MMS) mission provides magnetic field power spectral density (BPSD) data computed onboard by a Digital Signal Processor (DSP). The data is derived from Search Coil Magnetometer (SCM) signals using a 1024-point FFT algorithm, producing spectra with 88 pseudo-logarithmic frequency bins and a dynamic range over 120 dB. The dataset was last updated on March 13, -2026.
NASA's Magnetospheric Multiscale (MMS) mission magnetic field power spectral density (BPSD) data, computed onboard by a Digital Signal Processor. The data is derived from Search Coil Magnetometer (SCM) signals via a 1024-point FFT algorithm, producing spectra with 88 pseudo-logarithmic frequency bins and a dynamic range over 120 dB. The dataset was last updated on March 13, -2026.
A study compares the geochemical characteristics of four Australian petroleum systems, ranging from the Ordovician to Early Cretaceous periods. The analysis focuses on source rocks deposited in marine environments with varying contributions of terrestrial organic matter, using petrological, palynological, and molecular evidence.
The dataset contains digitally computed Filter Bank spectra and peak/average values for electric and magnetic fields measured by the THEMIS-A spacecraft. It is produced by NASA with contributions from the University of California, Berkeley, the Laboratory for Atmospheric and Space Physics, and the Centre d'étude des environnements terrestre et planétaires. The data was last updated on 2026-03-13.
THEMIS-D's Filter Bank provides computationally efficient band-pass filtering for electric field and search coil magnetometer signals. The process cascades through 12 or 13 stages, reducing signal and power by a factor of 2 at each step, and outputs data in sets of six frequency bins from 2.26 Hz to 2.689 kHz. This data was produced by NASA with contributions from the University of California Berkeley, the Laboratory for Atmospheric and Space Physics, and the Centre d'étude des environnements terrestres et planétaires.
Geoscience Australia compiled seabed biophysical information for Australia's Exclusive Economic Zone to support marine conservation under the EPBC Act. The data provides 100% spatial coverage of the EEZ using multivariate statistical methods on variables like bathymetry and sediment properties. Thirteen Marine Protected Areas were nominated for the southeast region in 2006.
Landsat imagery from 2005 was processed to identify misclassified pixels due to sensor noise, clouds, haze, and shadows in the Cold Lake oil sands region. The Government of Alberta created this dataset to support science-based monitoring under the Lower Athabasca Regional Plan. It assigns a 'bad pixel' label with value '1' to problematic areas.
Quality evaluation data identifies misclassified pixels in 2008 Landsat imagery of the Cold Lake oil sands region. The dataset flags areas affected by sensor noise, cloud, haze, and cloud shadow as 'bad pixels'. It was produced by the Government of Alberta to support science-based monitoring under the Lower Athabasca Regional Plan.
2010 Landsat imagery was processed to identify misclassified pixels in Alberta's Cold Lake oil sands region. The dataset flags 'bad pixels' affected by sensor noise, cloud, haze, and cloud shadow with a value of '1'. It was produced by the Government of Alberta to support science-based environmental monitoring under the Lower Athabasca Regional Plan.
2009 Landsat imagery was processed by the Government of Alberta to create a quality evaluation dataset for the Cold Lake oil sands region. It identifies pixels potentially misclassified due to sensor noise, clouds, haze, or cloud shadows. The data supports the Lower Athabasca Regional Plan's science-based monitoring objectives.