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Full metadata record
DC Field | Value | Language |
---|---|---|
dc.date.accessioned | 2022-08-19T00:41:50Z | - |
dc.date.issued | 2020 | en_US |
dc.identifier.uri | https://geoscience.nt.gov.au/gemis/ntgsjspui/handle/1/92284 | - |
dc.description.abstract | Gravity data measure small changes in gravity due to changes in the density of rocks beneath the Earth's surface. The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. | en_US |
dc.description.abstract | This South Nicholson Gravity Survey GA P201701 CSCBA267GU is a complete spherical cap Bouguer anomaly grid for the South Nicholson Gravity Survey (P201701). This gravity survey was acquired under the project No. 201701 for the geological survey of NT. The grid has a cell size of 0.00742 degrees (approximately 800m). The data are given in units of um/s^2, also known as 'gravity units', or gu. A total of 2725 gravity stations were acquired to produce this grid. | en_US |
dc.publisher | Geoscience Australia | en_US |
dc.subject.classification | Geophysics | en_US |
dc.title | South Nicholson Gravity Survey GA P201701 CSCBA267GU | en_US |
dc.type | Gravity Survey | en_US |
dc.relation.isatmap250 | Avon Downs SF5304 | en_US |
dc.relation.isatmap250 | Ranken SE5316 | en_US |
dc.relation.isatmap250 | Mount Drummond SE5312 | en_US |
dc.relation.isatgeolprovince | South Nicholson Basin | en_US |
dc.identifier.collectionname | Geophysical and Remote Sensing Data | en_US |
dc.description.otherlinks | Download the data from <a href='https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/metadata/143864' target='_blank'>Geoscience Australia</a> | en_US |
dc.identifier.surveyname | South Nicholson | en_US |
local.flag.notified | 1 | |
Appears in Collections: | Geophysical and Remote Sensing Data |
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