five

Basement Relief Raster Image of Australian Onshore and Offshore Sedimentary Basins - ARC

收藏
Research Data Australia2025-12-20 收录
下载链接:
https://researchdata.edu.au/basement-relief-raster-basins-arc/3794770
下载链接
链接失效反馈
官方服务:
资源简介:
## **Abstract** \n\nThis dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.\n\nInterpretation of the extent of the Warburton Basin using basement relief imagery of onshore and offshore sedimentary basins.\n\n## **Purpose** \n\nThe data file is used to indicate the location and understood extent of the Warburton Basin.\n\n## **Dataset History** \n\nThe Warburton Basin outline interpretation was extracted from the file sedbasdd.shp, which was obtained from GA. As many basins onlap, basin outlines are subdivided according to how many basins onlap the basin in quation. Therefore a selection of all outlines classified as Warburton Basin from the categories B1, B2, B3 and B4 was used to obtain the entire basin outline. These outlines were then combined to form a single outline for the Warburton Basin.\n\n## **Dataset Citation** \n\nSA Department of Environment, Water and Natural Resources (2015) Basement Relief Raster Image of Australian Onshore and Offshore Sedimentary Basins - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/92ce5aa9-f554-4cba-af10-4f58e1afe88d.

## **摘要** 本数据集及其元数据声明由第三方提供给生物区域评估计划(Bioregional Assessment Programme),此处按原始提交内容原样呈现。 基于陆上与近海沉积盆地的基底起伏影像,对沃伯顿盆地(Warburton Basin)的分布范围进行解译。 ## **目的** 本数据文件用于标注沃伯顿盆地的位置与已明确的分布范围。 ## **数据集历史** 沃伯顿盆地轮廓解译数据提取自从GA获取的sedbasdd.shp文件。由于存在多个盆地超覆现象,盆地轮廓将根据所讨论盆地被其他盆地超覆的数量进行细分。因此,从B1、B2、B3和B4类别中筛选出所有归类为沃伯顿盆地的轮廓,以获取完整的盆地轮廓,随后将这些轮廓合并为沃伯顿盆地的单一整体轮廓。 ## **数据集引用** 南澳环境、水与自然资源部(SA Department of Environment, Water and Natural Resources)(2015)《澳大利亚陆上与近海沉积盆地基底起伏栅格影像——ARC》,生物区域评估源数据集。2016年5月26日查阅,http://data.bioregionalassessments.gov.au/dataset/92ce5aa9-f554-4cba-af10-4f58e1afe88d。
提供机构:
data.gov.au
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作