five

World Flora Online Checklist, December 2022

收藏
Mendeley Data2024-06-29 更新2024-06-28 收录
下载链接:
https://zenodo.org/record/7467360
下载链接
链接失效反馈
资源简介:
A global consensus classification of vascular plants and bryophytes used as the taxonomic backbone for the World Flora Online (WFO) portal (http://www.worldfloraonline.org) and the WFO Plant List (https://wfoplantlist.org). Initiated in 2012, WFO has developed to represent a comprehensive knowledge base on the world’s plant species. Comprising over 50 botanical institutions and organisations worldwide, the WFO Consortium recognizes the need for the synthesis of botanical knowledge that has been generated through more than 260 years of botanical exploration, taxonomic and, more recently, phylogenetic research throughout the world. Endorsed by the Convention on Biological Diversity, WFO supports the Global Strategy for Plant Conservation (https://www.plants2020.net) and the Montreal-Kunming Global Biodiversity Framework. WFO has become a first-ever global source of information on the world’s plant diversity supported by the international taxonomic community. At the heart of the WFO is a checklist which aims to provide the most up to date source of scientific plant names and their synonyms compiled. The WFO checklist is curated, moderated and updated by an expert and specialist-based global community (Taxonomic Expert Networks ,TENs) covering a taxonomic group. The initial data ingestion into the WFO checklist was undertaken in 2015 using data from The Plant List Version 1.1 (TPL, September 2013). The list of datasets contributing to TPL is given here: https://about.worldfloraonline.org/the-plantlist-data-contributors. New taxonomic names and data updates are regularly incorporated into WFO from nomenclators: International Plant Name Index (IPNI, https://www.ipni.org) for vascular plants, and Tropicos (https://www.tropicos.org) for bryophytes. Classification and nomenclatural updates have been incorporated from WFO TENs, and classification data for taxonomic groups not yet covered by a TEN have been incorporated from the World Checklist of Vascular Plants version 2.0 (WCVP, https://wcvp.science.kew.org), facilitated by the Royal Botanic Gardens, Kew. New versions of this global consensus classification are released every six months, in June and December. Detail of the changes since June 2022, incorporated this December 2022 release, are given here: https://about.worldfloraonline.org/december-2022-release This data repository includes the following files: wfo_plantlist_2022-12.zip The Catalogue of Life Data Package of the WFO Plant List. This is the most expressive standards based form of the list. plant_list_2022-12.json.zip JSON formatted version of the WFO Plant List. This has been designed for direct import into a schemaless instance of a SOLR index and is used to drive the WFO Plant List API (https://list.worldfloraonline.org) which in turn drives the WFO Plant List in the portal. This is recommended if you want a local, read only version of the list rather than use the API. plant_list_2022-12.sql.gz This is the complete production database (minus logging data and API keys) as a MySQL backup file. It can be restored directly to a MySQL 5.7 or later instance if you require the list in SQL format. ipni_to_wfo.csv.gz A file mapping all the IPNI IDs we track to their associated WFO IDs. families_dwc.tar.gz Individual Darwin Core Archive files for each of 718 recognized families. If you want a single family in DwC but can't load the whole list download and expand this file. Family and genus files are also available for download through the portal. _DwC_backbone_R.zip A single Darwin Core Archive file containing non deprecated names and taxa for use in the existing R package. _uber.zip A single Darwin Core Archive file containing all names and taxa even those that are deprecated along with some extra columns
创建时间:
2023-06-28
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  4099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

中国区域交通网络数据集

该数据集包含中国各区域的交通网络信息,包括道路、铁路、航空和水路等多种交通方式的网络结构和连接关系。数据集详细记录了各交通节点的位置、交通线路的类型、长度、容量以及相关的交通流量信息。

data.stats.gov.cn 收录

红外谱图数据库

收集整理红外谱图实验手册等数据,建成了红外谱图数据库。本数据库收录了常见化合物的红外谱图。主要包括化合物数据和对应的红外谱图数据。其中,原始红外谱图都进行了数字化处理,从而使谱峰检索成为可能。用户可以在数据库中检索指定化合物的谱图,也可以提交谱图/谱峰数据,以检索与之相似的谱图数据,以协助进行谱图鉴定。

国家基础学科公共科学数据中心 收录

中国省级灾害统计空间分布数据集(1999-2020年)

该数据集为中国省级灾害统计空间分布数据集,时间为1999-2020年。该数据集包含中国各省自然灾害、地质灾害、地震灾害、森林火灾、森林病虫鼠害、草原灾害六类灾害的详细数据。数据量为206MB,数据格式为excel。

国家地球系统科学数据中心 收录

ArXiv

ArXiv数据集包含了来自arXiv.org的学术论文元数据,涵盖了物理学、数学、计算机科学、定量生物学、定量金融、统计学、电气工程和系统科学等多个领域的研究论文。数据集包括论文的标题、作者、摘要、提交日期、修改日期、DOI(数字对象标识符)等信息。

www.kaggle.com 收录

MIMII数据集

MIMII数据集是由日立有限公司研究与开发集团创建的,专注于工业机器异常声音检测的数据集。该数据集包含26,092个正常操作条件下的声音文件,涵盖阀门、泵、风扇和滑轨四种机器类型。数据集的创建过程中,使用了TAMAGO-03麦克风阵列进行声音采集,并在多个真实工厂环境中混合背景噪声以模拟实际环境。MIMII数据集主要用于机器学习和信号处理社区开发自动化设施维护系统,特别是在无监督学习场景下检测机器异常声音。

arXiv 收录