{"help": "https://data.gov.au/data/en/api/3/action/help_show?name=package_show", "success": true, "result": {"archived": false, "author_email": null, "contact_point": "clientservices@ga.gov.au", "creator_user_id": "c2fbbe4a-4ba0-4945-808b-67454605a4cf", "duplicate_score": 2, "geospatial_topic": [], "id": "04c01e15-d7fc-4790-9474-7c4d3a195d31", "isopen": false, "language": "eng", "license_id": "notspecified", "license_title": "notspecified", "maintainer": null, "maintainer_email": null, "metadata_created": "2025-10-16T21:15:50.202023", "metadata_modified": "2025-10-16T21:15:50.202029", "name": "use-of-high-performance-computing-and-high-performance-data-in-magnetotelluric-data-processing-", "notes": "Geoscience Australia (GA) has had an ongoing magnetotelluric (MT) program for over a decade. The software available for processing, analysis and inversion of MT data have evolved significantly over this time, partly to make use of increased availability of high performance computing facilities.\nGA is a major contributor to the Australian Lithospheric Architecture Magnetotelluric Program (AusLAMP), which aims to collect long period MT data on a 0.5 degree grid across the Australian continent. Data and resistivity models from this program will image the Australian lithospheric conductivity from depths of 10 to 100 km. Given the continental scale and large number of stations being collected, inverting these data to obtain resistivity models of the Australian lithosphere relies on the use of specialised software on high performance computing facilities.\nGA is also working to increase accessibility and useability of raw (time series) MT data. To date, large data volumes and inconsistent formats have limited the accessibility of this data. This has meant that it has been difficult to record a transparent workflow from raw to processed data, and then from processed data to modelling and inversion products. GA is working to make use of high performance data formats to facilitate the accessibility and visualisation of this data.\nThis presentation will detail some of the MT work being done by GA and how the availability of high performance computing facilities is helping to increase the impact and use of MT as a key dataset for understanding the Australian lithosphere.\nPresented at the  Collabrotive Conference on Computational and Data Intensive Science (C3DIS) Conference, Canberra, May 6-8 2019\n(https://www.plantphenomics.org.au/event/conference-on-computational-and-data-intensive-science-2019-c3dis-2019-canberra-australia/)", "num_resources": 1, "num_tags": 2, "organization": {"id": "91f054ec-d0c3-4d42-a89a-5daa2c7a6818", "name": "geoscience-australia-data", "title": "Geoscience Australia Data", "type": "organization", "description": "Harvester for Geoscience Australia Data", "image_url": "", "created": "2025-06-23T12:29:08.024111", "is_organization": true, "approval_status": "approved", "state": "active"}, "original_harvest_source": {"site_url": "https://ecat.ga.gov.au", "href": "https://ecat.ga.gov.au/geonetwork/srv/eng/csw/dataset/use-of-high-performance-computing-and-high-performance-data-in-magnetotelluric-data-processing-", "title": "Geoscience Australia"}, "owner_org": "91f054ec-d0c3-4d42-a89a-5daa2c7a6818", "private": false, "promotion_level": "0", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[112.0, -44.0], [154.0, -44.0], [154.0, -9.0], [112.0, -9.0], [112.0, -44.0]]]}", "spatial_coverage": "{\"type\": \"Polygon\", \"coordinates\": [[[112.0, -44.0], [154.0, -44.0], [154.0, -9.0], [112.0, -9.0], [112.0, -44.0]]]}", "state": "active", "temporal_coverage_from": "2019-04-16 01:51:11", "title": "Use of high performance computing and high performance data in magnetotelluric data processing and inversion", "type": "dataset", "unpublished": false, "url": null, "version": null, "extras": [{"key": "harvest_object_id", "value": "53a96a2e-8401-4613-85fa-b352a8192164"}, {"key": "harvest_source_id", "value": "00080910-39e7-408f-882c-e6e1eb6baadb"}, {"key": "harvest_source_title", "value": "Geoscience Australia"}], "resources": [{"cache_last_updated": null, "cache_url": null, "created": "2025-10-16T21:15:50.203409", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "Link to conference page", "format": "HTML", "hash": "", "id": "7ce7ca6e-4c7c-491f-8bce-f00b331bdcef", "last_modified": null, "metadata_modified": "2025-10-16T21:15:50.198220", "mimetype": null, "mimetype_inner": null, "name": "Link to conference page", "package_id": "04c01e15-d7fc-4790-9474-7c4d3a195d31", "position": 0, "resource_locator_function": "", "resource_locator_protocol": "WWW:LINK-1.0-http--link", "resource_type": null, "size": null, "state": "active", "url": "https://www.plantphenomics.org.au/event/conference-on-computational-and-data-intensive-science-2019-c3dis-2019-canberra-australia/", "url_type": null, "zip_extract": false}], "tags": [{"display_name": "EARTH SCIENCES", "id": "927af2a7-7457-45c2-bd55-10000fd09c14", "name": "EARTH SCIENCES", "state": "active", "vocabulary_id": null}, {"display_name": "Published_External", "id": "5178775c-8044-4b7f-881f-5428a4e2d925", "name": "Published_External", "state": "active", "vocabulary_id": null}], "groups": [], "relationships_as_subject": [], "relationships_as_object": []}}