five

Ecological and Distributional Databases for Neotropical Birds

收藏
Figshare2019-07-18 更新2026-04-08 收录
下载链接:
https://figshare.com/articles/Ecological_and_Distributional_Databases_for_Neotropical_Birds/8956955/1
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset is uploaded to FigShare by Jacob B. Socolar in support of a forthcoming publication. The University of Chicago Press has granted permission to JBS to upload and publish these data. <br>USERS OF THESE DATA SHOULD CITE THE ORIGINAL PUBLICATION:<br>Theodore A. Parker III, Douglas F. Stotz, and John W. Fitzpatrick (1996) Ecological and Distributional Databases for Neotropical Birds. University of Chicago Press, Chicago. ISBN: 9780226646763<br><br>See also:https://www.press.uchicago.edu/ucp/books/book/chicago/E/bo3618705.html <br>The file "Parker_Stotz_Fitzpatrick_1996.zip" unarchives to a folder called "Parker_Stotz_Fitzpatrick_1996". That folder contains three items:<br>1) readme.txt is a read-me document that contains some additional details in addition to repeating the information below.<br>2) license.pdf is a copy of the license granted to Jacob Socolar by University of Chicago Press to re-publish these data on figshare.com (license states "datadryad.org or a similar repository")<br>3) The 'databases' folder contains the files published as:Theodore A. Parker III, Douglas F. Stotz, and John W. Fitzpatrick (1996) Ecological and Distributional Databases for Neotropical Birds. University of Chicago Press, Chicago. ISBN: 9780226646763<br>See also:https://www.press.uchicago.edu/ucp/books/book/chicago/E/bo3618705.html <br>These databases were originally published as a companion to the book "Neotropical Birds: Ecology and Conservation", by Douglas F. Stotz, John W. Fitzpatrick, Theodore A. Parker III, and Debra K. Moskovits, copyright 1996 University of Chicago Press.<br>If using the data provided in this folder, please cite the references provided above. This item on FigShare (with date 2019) should not replace or supersede the above citations.
创建时间:
2019-07-18
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