five

(Other) State Boundary - Geoscape Administrative Boundaries|地理信息系统数据集|行政边界数据集

收藏
Research Data Australia2024-08-03 收录
地理信息系统
行政边界
下载链接:
https://researchdata.edu.au/other-state-boundary-administrative-boundaries/2996023
下载链接
链接失效反馈
资源简介:
The digital State Boundaries and their legal identifiers have been derived from the cadastre data from each state and territory jurisdiction and are available below.\r\n\r\nState Boundaries are part of Geoscape Administrative Boundaries, which is built and maintained by [Geoscape Australia](https://geoscape.com.au/) using authoritative government data. Further information about contributors to Administrative Boundaries is available [here](https://geoscape.com.au/legal/data-copyright-and-disclaimer/).\r\n\r\nThe full Administrative Boundaries dataset contains boundaries in seven themes: Australian Bureau of Statistics (ABS) boundaries, electoral boundaries, state and territory boundaries, local government areas, suburbs/localities, wards and town points.\r\n\r\nAs at November 2019, users have the option to download datasets with feature coordinates referencing the new Geocentric Datum of Australia 2020 (GDA2020) in addition to datasets on the GDA94 datum.\r\n\r\nFor GDA2020 datasets, the name of the zip folder and the root folder (once extracted) include a reference to GDA2020. For GDA94 datasets, the zip and root folder names do not contain the datum name (i.e. they remain the same as previous releases).\r\n\r\nFor example, the zip and root folder for Administrative Boundaries downloaded in GDA2020 for November 2019 looks like this:\r\n\r\n •\tNOV19_AdminBounds_ESRIShapefileorDBFfile_GDA2020; or \r\n •\tNOV19_AdminBounds_MapInfoTABFormat_GDA2020\r\n\r\nThe zip and root folder for Administrative Boundaries in GDA94 for November 2019 looks like this: \r\n\r\n •\tNOV19_AdminBounds_ESRIShapefileorDBFfile; or \r\n •\tNOV19_AdminBounds_MapInfoTABFormat\r\n\r\nIrrespective of the datum chosen, files within the respective folder use exactly the same naming structures.\r\n\r\nFurther information on Administrative Boundaries, including FAQs on the data, is available [here](https://geoscape.com.au/data/administrative-boundaries/) through Geoscape Australia’s network of [partners](https://geoscape.com.au/partners/). They provide a range of commercial products based on Administrative Boundaries, including software solutions, consultancy and support.\r\n\r\nNote: On 1 October 2020, PSMA Australia Limited began trading as Geoscape Australia. \r\n\r\n## License Information\r\n\r\nThe Australian Government has negotiated the release of Administrative Boundaries to the whole economy under an [open CCBY 4.0 license](https://creativecommons.org/licenses/by/4.0/).\r\n\r\nUsers must only use the data in ways that are consistent with the Australian Privacy Principles issued under the Privacy Act 1988 (Cth).\r\n\r\n**Users must also note the following attribution requirements:**\r\n\r\n_Preferred attribution for the Licensed Material:_\r\n\r\n> _Administrative Boundaries © [Geoscape Australia](https://geoscape.com.au/legal/data-copyright-and-disclaimer/) licensed by the Commonwealth of Australia under_ [_Creative Commons Attribution 4.0 International licence (CC BY 4.0)_](https://creativecommons.org/licenses/by/4.0/).\r\n\r\n_Preferred attribution for Adapted Material:_\r\n\r\n> _Incorporates or developed using Administrative Boundaries © [Geoscape Australia](https://geoscape.com.au/legal/data-copyright-and-disclaimer/) licensed by the Commonwealth of Australia under_ [_Creative Commons Attribution 4.0 International licence (CC BY 4.0)_](https://creativecommons.org/licenses/by/4.0/).
提供机构:
data.gov.au
用户留言
有没有相关的论文或文献参考?
这个数据集是基于什么背景创建的?
数据集的作者是谁?
能帮我联系到这个数据集的作者吗?
这个数据集如何下载?
点击留言
数据主题
具身智能
数据集  4098个
机构  8个
大模型
数据集  439个
机构  10个
无人机
数据集  37个
机构  6个
指令微调
数据集  36个
机构  6个
蛋白质结构
数据集  50个
机构  8个
空间智能
数据集  21个
机构  5个
5,000+
优质数据集
54 个
任务类型
进入经典数据集
热门数据集

THUCNews

THUCNews是根据新浪新闻RSS订阅频道2005~2011年间的历史数据筛选过滤生成,包含74万篇新闻文档(2.19 GB),均为UTF-8纯文本格式。本次比赛数据集在原始新浪新闻分类体系的基础上,重新整合划分出14个候选分类类别:财经、彩票、房产、股票、家居、教育、科技、社会、时尚、时政、体育、星座、游戏、娱乐。提供训练数据共832471条。

github 收录

UAVDT

UAVDT是一个用于目标检测任务的数据集。

github 收录

FER2013

FER2013数据集是一个广泛用于面部表情识别领域的数据集,包含28,709个训练样本和7,178个测试样本。图像属性为48x48像素,标签包括愤怒、厌恶、恐惧、快乐、悲伤、惊讶和中性。

github 收录

Eurovision Song Contest Dataset

Eurovision Song Contest数据集是一个免费提供的数据集,包含1735首参赛歌曲的音频特征、元数据、比赛排名和投票数据,这些歌曲参与了从1956年到2023年的Eurovision Song Contest。

github 收录

Plant-Diseases

Dataset for Plant Diseases containg variours Plant Disease

kaggle 收录