GBIF dataset metrics

生产工具插件大小: 186KiB版本: v 0.2.1更新时间: 2021-12-21
大小:186KiB版本:v 0.2.1更新时间:2021-12-21

Get insights in GBIF-mediated datasets with charts and metrics.

GBIF dataset metrics 的使用方法详解,最全面的教程


GBIF dataset metrics 描述:

用户数:86

分类:生产工具插件

扩展大小:186 KiB

最后更新时间:2021-12-21

版本:v 0.2.1


GBIF dataset metrics 插件简介:

这是来自Chrome商店的 GBIF dataset metrics 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。


GBIF dataset metrics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。


GBIF dataset metrics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 Global Biodiversity Information Facility (GBIF) facilitates access to over 13,233 species occurrence datasets, collectively holding more than 570 million records. GBIF dataset pages are important access points to GBIF-mediated data (e.g. via DOIs) and currently show dataset metadata, a map of georeferenced occurrences, some basic statistics, and a paged table of download events. If a user wants to know more about the occurrences a dataset contains, he/she has to filter/page through a table of occurrences or download the data. Neither are convenient ways to get quick insights or assess the fitness for use. For the 2015 GBIF Ebbe Nielsen challenge, we have developed this Google Chrome extension as proof of concept for enhancing GBIF dataset pages with aggregated occurrence metrics. These metrics are visualized as stacked bar charts - showing the occurrence distribution for basis of record, coordinates, multimedia, and taxa matched with the GBIF backbone - as well as an interactive taxonomy partition, a sample of images (if available), and a downloads chart. Metrics that score particularly well are highlighted as achievements. Collectively these features not only inform the user what a dataset contains and if it is fit for use, but also help data publishers discover what aspects could be improved. Follow @Datafable on Twitter to be notified of new metrics or improvements.

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