GoC Open Data
大小:214KiB版本:v 2.0更新时间:2021-12-21
Chrome Plugin for GoC Open Data
GoC Open Data 的使用方法详解,最全面的教程
GoC Open Data 描述:
用户数:6
分类:搜索工具插件
扩展大小:214 KiB
最后更新时间:2021-12-21
版本:v 2.0
GoC Open Data 插件简介:
这是来自Chrome商店的 GoC Open Data 浏览器插件,您可以在当前页面下载它的最新版本安装文件,并安装在Chrome、Edge等浏览器上。
GoC Open Data插件下载方法/流程:
点击下载按钮,关注“扩展迷Extfans”公众号并获取验证码,在网页弹窗中输入验证码,即可下载最新安装文件。
GoC Open Data插件安装教程/方法:
(1)将扩展迷上下载的安装包文件(.zip)解压为文件夹,其中类型为“crx”的文件就是接下来需要用到的安装文件
(2) 从设置->更多工具->扩展程序 打开扩展程序页面,或者地址栏输入 Chrome://extensions/ 按下回车打开扩展程序页面
(3) 打开扩展程序页面的“开发者模式”
(4) 将crx文件拖拽到扩展程序页面,
完成安装如有其它安装问题,
请扫描网站底部二维码与客服联系如有疑问请参考:
https://www.extfans.com/installation/The extension for Open Data of Government of Canada is to bring open data to your fingertips. It helps you to search, use, and manage GoC Open Data.
It has the following major features:
1. An option page allows you to input keywords for searching datasets. Returned datasets are displayed in the format of links to the owner org's website if the url is provided in the dataset, or else links to the data.gc.ca site are displayed.
2. Search term and results are saved in HTML5 local storage so that they persist during browser restarts. Counter of unvisited links are displayed on the extension icon shown to the right of the Chrome toolbar.
3. A Javascript listener monitors links clicked by you and update the plugin counter in the background.
4. Functionality to allow you to share interested datasets on your social media websites including Twitter and Facebook. For twitter, URL and title of the dataset are pre-populated in the Twitter share screen, which makes sharing very handy.
5. Multilingual support. All extension pages support both two official languages - English or French depending on the current browser locale.
6. HTML5 messaging API is used to dynamic update and synchronize contents across different pages without introducing the confusion of page refreshes.
7. If Geocoding information (spatial element in the CKAN datasets) is provided, a custom Google Map is provided to show the distance between your current location and the event location in the interested datasets. For example, if you search "Severe Thunderstorms", datasets of Natural Resource Canada will be returned.