Comprehensive 2D and 3D multiclient seismic data library of the world's major hydrocarbon basins.

Addresses all geophysical and geological challenges from basin-scale 2D surveys to full-azimuth broadband 3D prospecting and appraisal surveys.

High-quality, multi-client 3D seismic data covering over 6,000 square miles of the Permian Basin, including reprocessed legacy data. Enables deep imaging and exploration of complex subsurface structures across Texas and New Mexico.

High-quality, multi-client 3D seismic data covering the Powder River Basin in Wyoming. This dataset supports deep imaging and subsurface exploration of the Wyoming Powder River Basin, including tertiary and Pennsylvanian rocks. The page features Powder River Basin map coverage and seismic attributes relevant to hydrocarbon-rich formations.

The UK Onshore Geophysical Library was established in 1994 in conjunction with the Department of Trade and Industry (DTI) and the UK Onshore Operators Group (UKOOG). The Library manages the archive and official release of seismic data recorded over landward areas of the UK. By agreement with the DTI and HMSO, the Library operates as a registered charity, funded by revenues raised from data sales and donations, with the long term objective of bringing all available UK onshore digital seismic data into secure archival storage, whilst providing efficient access to all interested parties. BGS has access to the data at cost of copying only for science budget work. Data index on the BGS Geoscience Data Index. This layer is only available at specific zoom levels. Please zoom to a larger scale to interrogate the map.

The UK Onshore Geophysical Library was established in 1994 in conjunction with the Department of Trade and Industry (DTI) and the UK Onshore Operators Group (UKOOG). The Library manages the archive and official release of seismic data recorded over landward areas of the UK. By agreement with the DTI and HMSO, the Library operates as a registered charity, funded by revenues raised from data sales and donations, with the long term objective of bringing all available UK onshore digital seismic data into secure archival storage, whilst providing efficient access to all interested parties. BGS has access to the data at cost of copying only for science budget work. Data index on the BGS Geoscience Data Index.

This dataset contains data from 2D seismic surveys collected on behalf of the Mining Remediation Authority or its predecessors. This information is served via the UK Onshore Geophysical library (UKOGL). It comprises raw and processed seismic data (pre and post stack) and is served in industry standard proprietary formats such as SEGY, which require specialist software to process.

Access to raw and pre-stack data under the Open Government Licence is available, but it may be subject to additional charges and fees. All seismic data not available under an Open Government Licence can still be licensed and accessed for both commercial and academic use through UKOGL.

Images generated from seismic data are available via the UKOGL interactive map viewer (https://ukogl.org.uk/).

Multi-client 3D seismic data coverage across the Appalachian Basin, including Pennsylvania, Ohio, and West Virginia. This dataset supports exploration in the Marcellus and Utica Shale formations using advanced seismic reprocessing. The page features an Appalachian Basin map, seismic attributes, and access to Appalachian oil and gas exploration data, including Pennsylvania seismic surveys.

Gulf of Mexico seismic data from Fairfield Geotechnologies includes over 32,000 square miles of 3D coverage and 19,000 linear miles of 2D Reverse Time Migration (RTM). This offshore dataset supports interpretation of complex salt structures and geological evaluations for CO2 storage potential. The page features Gulf of Mexico seismic data and research for deepwater exploration.

This dataset contains data from 3D seismic surveys collected on behalf of the Mining Remediation Authority or its predecessors. This information is served via the UK Onshore Geophysical Library (UKOGL). It comprises raw and processed seismic data (pre and post stack) and is served in industry standard proprietary formats such as SEGY, which require specialist software to process.

Access to raw and pre-stack data under the Open Government Licence is available, but it may be subject to additional charges and fees. All seismic data not available under an Open Government Licence can still be licensed and accessed for both commercial and academic use through UKOGL.

Images generated from seismic data are available via the UKOGL interactive map viewer (https://ukogl.org.uk/).

Seismic velocity model derived from the ocean-bottom seismometer (OBS) seismic refraction study of the Juan de Fuca Endeavour ridge segment of Cudrak and Clowes (1993). This seismic velocity model was used in locating the earthquakes that are listed in the associated earthquake catalog spanning the time period August 2003 - October 2006. Chief Scientist is Dr. William Wilcock. The data file is in ASCII format and was generated as part of a project called Linking stress changes and hydrothermal activity during a non-eruptive spreading event. The seismic velocity model was published as part of the Weekly et al., 2013 paper. Funding was provided by NSF grants OCE09-37006 and OCE09-37285.

This dataset contains data from 2D seismic surveys collected on behalf of the British Geological Survey or its predecessors. This information is served via the UK Onshore Geophysical library (UKOGL). It comprises raw and processed seismic data (pre and post stack) and is served in industry standard proprietary formats such as SEGY, which require specialist software to process.

Access to raw and pre-stack data under the Open Government Licence is available, but it may be subject to additional charges and fees. All seismic data not available under an Open Government Licence can still be licensed and accessed for both commercial and academic use through UKOGL.

Images generated from seismic data are available via the UKOGL interactive map viewer (https://ukogl.org.uk/).

These data layer are supplied by the UK Onshore Geophysical Library which manages the 2D & 3D seismic surveys acquired by the Exploration Industry on behalf of the Oil & Gas Authority. The Coal Authority seismic data is managed and held by the British Geological Survey. All original navigation locations as held by UKOGL are referenced to the British National Grid. Whilst all reasonable efforts have been made to validate the data supplied, UKOGL does not warrant the accuracy of the information presented. This data is also subject to ongoing revision and addition. This data is supplied for internal use only and written permission must be sought from UKOGL and approval granted for use of this data with any public facing service or web site. UKOGL: contact@ukogl.org.uk

The dataset contains 3D wide-angle seismic data from 18 ocean bottom nodes (OBXs) collected during RRS James Cook cruise JC254 in November 2023. The data were acquired at the 1330 Oceanic Core Complex (OCC) and the Semenov Hydrothermal Field region of the Mid-Atlantic Ridge at 13°30'N, and were shot in six sequences (SEM4A to SEM4F), along 15 profiles in total. Two GI-guns were used as seismic sources, each with a total volume of 355 cubic inches (250 cu. inch generator, 105 cu. inch injector chamber. The data were recorded at a sampling rate of 2000 Hz, with a shot interval of 20 s at a ship speed of 4 knots, resulting in shot interval of ~30 m, with no stop during profile turns. The data are provided in raw SEGY format, cut into four components (three geophone channels and one hydrophone channel). This dataset was collected to derive a seismic velocity structure of the 13°30'N OCC. The aim was to investigate the crustal or mantle lithologies in the 13°30'N OCC and to understand the interplay between tectonic faulting, magmatism, alteration and hydrothermal circulation at the ultramafic-hosted hydrothermal systems along slow-spreading ridges. The data were collected as part of a NERC-funded strategic research project called 'Ultramafic-hosted mineral Resource Assessment (ULTRA)', grant reference NE/S004068/1. The data were processed and interpreted as part of a PhD studentship hosted by the University of Southampton, awarded to Szu-Ying Lai, and funded by Equinor A.S, Norway.

Displays 2D seismic lines for which a jpeg image and an archived SEG-Yfile is downloadable from the SARIG website. Multiple versions of lines are presented for some lines particularly when only segments of lines were originally processed or when... Displays 2D seismic lines for which a jpeg image and an archived SEG-Yfile is downloadable from the SARIG website. Multiple versions of lines are presented for some lines particularly when only segments of lines were originally processed or when reprocessing has produced a superior output. It is intended to offer at least one version of each line for which data is available but it should be noted that a more extensive data library is available through the Petroleum and Geothermal Group. Over 8000 lines covering in excess of 150,000 line kilometers of data have SEG-Y data available from a period 1975 to current. Spatial data are not available for download from SARIG due to environmental and safety considerations, but are provided upon request in ASCII and ESRI shapefile. See contact information below. Attribute table provides links to downloadable SEG-Y data and JPEG images. To access jpeg: https://sarigbasis.pir.sa.gov.au/WebtopEw/ws/segy2d/web/jpeg/DDD/|JPEG File Name| Example: https://sarigbasis.pir.sa.gov.au/WebtopEw/ws/segy2d/web/jpeg/DDD/08GA-OM1_mig.jpg

This 2012 R/V Langseth survey collected MCS data, 3.5 kHz single channel seismic reflection data, multibeam bathymetric data, multi-cores, gravity cores, and piston cores on the Line Island Ridge in the Pacific Ocean. The goals included collecting data that would capture paleooceanographic and paleoclimatic changes as recorded in sediment. Funded by NSF grant 1159053.

Abstract A MATLAB-based computer code has been developed for the simultaneous wavelet analysis and filtering of multichannel seismic data. The considered time–frequency transforms include the continuous wavelet transform, the discrete wavelet transform and the discrete wavelet packet transform. The developed approaches provide a fast and precise time–frequency examination of the seismograms at different frequency bands. Moreover, filtering methods for noise, transients or even baseline removal, are im...

Title of program: SeismicWaveTool Catalogue Id: AENG_v1_0

Nature of problem Numerous research works have developed a great number of free or commercial wavelet based software, which provide specific solutions for the analysis of seismic data. On the other hand, standard toolboxes, packages or libraries, such as the MathWorks' Wavelet Toolbox for MATLAB, offers command line functions and interfaces for the wavelet analysis of one-component signals. Thus, software usually is focused on very specific problems or carries out the wavelet analysis from a wide point of view.

Versions of this program held in the CPC repository in Mendeley Data AENG_v1_0; SeismicWaveTool; 10.1016/j.cpc.2012.08.008

This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)

Contains Datasets for training and testing models for Urban Seismic Event Detection (USED).

1. Strong Dataset: Contains Synthetic Data to be used for supervised learning
2. Unlabel Dataset: Contains unlabeled data to be used for semi supervised (or unsupervised) learning
3. Test Synth: Synthetic Dataset to evaluate models
4. Test Real: Small Real Dataset to evaluate models

The data is in SAC format, with JSON labels. The obspy library in python can be used to read this data.

DGGS Geologic Earth Resource Library of Alaska (GERILA) Database, Digital Data Series 22, is the enterprise database back-end to the Alaska Division of Geological & Geophysical Survey's (DGGS) website and enterprise data repository. GERILA serves as an index to geologic information that supports State of Alaska statutes relating to the potential of Alaskan land for the production of metals, minerals, fuels, and geothermal resources, the locations and supplies of groundwater and construction material (Sec. 41.08.010), and the potential geologic hazards to buildings, roads, bridges, and other installations and structures and systematic collection, recording, evaluation, and distribution of hydrological and seismic hazard data declared to be of public interest (Sec. 41.08.017). Much of the information stored in GERILA is viewable through DGGS's public website, which provides search interfaces for specific data modules, including our geologic publications catalog (https://dggs.alaska.gov/pubs). The database is actively updated as new information becomes available or published. Consequently, products developed from the database may change over time as information and data are updated. DGGS encourages public members to contact DGGS's Geologic Information Center staff (dggspubs@alaska.gov) to discuss potential changes to the data or resolve errors in our derivative products. See the DGGS citation page for the preferred citation and additional information (http://doi.org/10.14509/31119).

The increasingly high number of big data applications in seismology has made quality control tools to filter, discard, or rank data of extreme importance. In this framework, machine learning algorithms, already established in several seismic applications, are good candidates to perform the task flexibility and efficiently. sdaas (seismic data/metadata amplitude anomaly score) is a Python library and command line tool for detecting a wide range of amplitude anomalies on any seismic waveform segment such as recording artifacts (e.g., anomalous noise, peaks, gaps, spikes), sensor problems (e.g., digitizer noise), metadata field errors (e.g., wrong stage gain in StationXML). The underlying machine learning model, based on the isolation forest algorithm, has been trained and tested on a broad variety of seismic waveforms of different length, from local to teleseismic earthquakes to noise recordings from both broadband and accelerometers. For this reason, the software assures a high degree of flexibility and ease of use: from any given input (waveform in miniSEED format and its metadata as StationXML, either given as file path or FDSN URLs), the computed anomaly score is a probability-like numeric value in [0, 1] indicating the degree of belief that the analyzed waveform represents an anomaly (or outlier), where scores ≤0.5 indicate no distinct anomaly. sdaas can be employed for filtering malformed data in a pre-process routine, assign robustness weights, or be used as metadata checker by computing randomly selected segments from a given station/channel: in this case, a persistent sequence of high scores clearly indicates problems in the metadata

This data set from the Hess Deep, Eastern Pacific Ocean, was acquired with the LDEO Multi-Channel Seismic system during R/V Maurice Ewing expedition EW0305 conducted in 2003 (Chief Scientist: Dr. Gail Christeson). These data files are of UKOOA P2/94 format and include Seismic Navigation data that have not been processed. For this experiment, the primary navigation source files for seismic data processing are the Seismic ShotPoint Navigation data. Data were acquired as part of the project: Correlation of Seismic Structure with Observed Outcrop Geology: MCS/OBS Investigation of Hess Deep and Blanco Transform, and funding was provided by NSF grant: OCE01-37286.