583 Biodiversity in time and space (Statistical modeling and data analysis)

Title

Biodiversity in time and space (Statistical modeling and data analysis)

Period

2019-02-14 till 2022-04-30

Period length

3 years 2 months 16 days

Description

The data of this work package were published on zenodo and can be reached via the following dois:

 

Benjamin Kraemer. (2019, August 8). bkraemer/GlobalLakeLevels: GlobalLakeLevels (Version v1.0-beta.1). Zenodo. http://doi.org/10.5281/zenodo.3363187. R Code for calculating trends in water levels in large lakes using satellite altimetry data reprocessed by the USDA

Karan Kakouei. (2021). Phytoplankton and cyanobacteria abundances in mid‐21st century lakes depend strongly on future land use and climate projections [Data set]. https://doi.org/10.1111/gcb.15866

Keywords

Biodiversity, Statistical modeling, GlobalLakeLevels, Phytoplankton, cyanobacteria, abundances

Study site

_multiple sites

Contact

Benjamin Kraemer, Karan Kakouei, Rita Adrian

Licence for data

All rights reserved. Please send a request to Benjamin Kraemer, Karan Kakouei, Rita Adrian if you like to use this data. Mind our data policy: IGB Data Policy

Project

LimnoScenES Project Website

Machine Readable Metadata Files

FRED provides all metadata of this package in a maschine readable format. There is a pure XML file and one EML file in Ecological Metadata Language. Both files are published under the freeODC-ByLicence.

• Biodiversity_in_time_and_space_(Statistical_modeling_and_data_analysis).xml
• Biodiversity_in_time_and_space_(Statistical_modeling_and_data_analysis).eml