five

Phenology from Warming Experiments (ExPhen)

收藏
DataONE2022-07-29 更新2024-06-08 收录
下载链接:
https://search.dataone.org/view/urn:uuid:ebc8f601-e33e-4216-bae5-a0d8b61e9a10
下载链接
链接失效反馈
官方服务:
资源简介:
ExPhen is a database of phenology datasets from climate change experiments. The data in this database were collected between 1991 and 2014 from North American and European climate change experiments. To be included in the database, experiments had to icontain plot-level data on day of year of one or more phenological events (e.g., budburst, leafout, flowering). They also had to 1) include more than one level of warming, or 2) manipulate both temperature and precipitation; (some studies met both of these criteria.). The database was created by first identifying published, active-warming field experiments, identified through a full literature review, following the methods and search terms of Wolkovich et al 2012 for their Synthesis of Timings Observed in iNcrease Experiments (STONE) database, but restricting to active-warming experiments. We further restricted inclusion to warming studies that included multiple levels of warming and/or precipitation treatments. These additional restrictions constrained the list to 11 new studies published after the STONE database, as well as six of the 37 studies in the STONE database. We contacted authors to obtain daily microclimate and phenological data for these 17 studies and received data (or obtained publicly available data) for 10 of them, as well as datasets from five additional sites offered or suggested to us over the course of our literature review and data analysis. The phenology data data from these experiments 14 experiments comprise the ExPhen database. The phenology data can be analyzed together the microclimate data, continued in Ettinger, Ailene; Wolkovich, Elizabeth M. (2019), Data from: How do climate change experiments alter plot-scale climate?, Dryad, Dataset, https://doi.org/10.5061/dryad.p46k773 (also available as the "MicroClimate from Climate Change Experiments" dataset at Knowledge Network for Biocomplexity. urn:uuid:c4d6941a-137f-4400-bebb-12c03ae296b6.)
创建时间:
2022-07-29
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