This repository contains code and data for Callaghan et al. 2021. Global abundance estimates for 9,700 bird species. PNAS. (https://doi.org/10.1073/pnas.2023170118). This readme is intended to provide an overview of the data analysis. eBird data are free to download (https://ebird.org/data/download) and we used the eBird basic dataset (version ebd_relMay2019). The first thing to note is that the eBird dataset is a ‘live’ dataset whereby records from the past can be added or removed currently. This means that we could have used a record in our dataset that was present when we downloaded the data, but no longer present. This readme is set up to guide an interested user through the repository and only focuses on highlighting the main steps/wor...
International audienceThe integration and synthesis of the data in different areas of science is dra...
International audienceThe integration and synthesis of the data in different areas of science is dra...
Associated data and analyses code for the publication: Heath, Sacha K. and R. F. Long. 2019. Multis...
This is the data belonging to the following publication: Haest B (2019) Cuckoos: The holy grail of a...
This is the data belonging to the following publication: Haest B (2019) Cuckoos: The holy grail of a...
This is the code and data used for the publication: Haest, B., Hüppop, O., & Bairlein, F. (2020). We...
The integration and synthesis of the data in different areas of science is drastically slowed and hi...
This is the code and data used for the publication: Burnside, R. J Salliss,, D., Collar N.J., & Dolm...
The integration and synthesis of the data in different areas of science is drastically slowed and hi...
International audienceThe integration and synthesis of the data in different areas of science is dra...
International audienceThe integration and synthesis of the data in different areas of science is dra...
International audienceThe integration and synthesis of the data in different areas of science is dra...
International audienceThe integration and synthesis of the data in different areas of science is dra...
The global species abundance distribution, calculated using the median of each species’ simulated ab...
International audienceThe integration and synthesis of the data in different areas of science is dra...
International audienceThe integration and synthesis of the data in different areas of science is dra...
International audienceThe integration and synthesis of the data in different areas of science is dra...
Associated data and analyses code for the publication: Heath, Sacha K. and R. F. Long. 2019. Multis...
This is the data belonging to the following publication: Haest B (2019) Cuckoos: The holy grail of a...
This is the data belonging to the following publication: Haest B (2019) Cuckoos: The holy grail of a...
This is the code and data used for the publication: Haest, B., Hüppop, O., & Bairlein, F. (2020). We...
The integration and synthesis of the data in different areas of science is drastically slowed and hi...
This is the code and data used for the publication: Burnside, R. J Salliss,, D., Collar N.J., & Dolm...
The integration and synthesis of the data in different areas of science is drastically slowed and hi...
International audienceThe integration and synthesis of the data in different areas of science is dra...
International audienceThe integration and synthesis of the data in different areas of science is dra...
International audienceThe integration and synthesis of the data in different areas of science is dra...
International audienceThe integration and synthesis of the data in different areas of science is dra...
The global species abundance distribution, calculated using the median of each species’ simulated ab...
International audienceThe integration and synthesis of the data in different areas of science is dra...
International audienceThe integration and synthesis of the data in different areas of science is dra...
International audienceThe integration and synthesis of the data in different areas of science is dra...
Associated data and analyses code for the publication: Heath, Sacha K. and R. F. Long. 2019. Multis...