Scanning Electron Micrographs of seed and fruits of plant species from the Cerrado region collected between 2014 and 2020

Download data Supporting docs Cite this dataset

PLEASE NOTE: By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.

This dataset is available under the terms of the Open Government Licence

Download the data

https://doi.org/10.5285/730086fd-80cd-4f44-8b13-b6168c07c7a8

This dataset contains single scanning electron microscopy images for fruits/seeds collected between 2014 and 2020 from fourteen plant species found in Brazilian Cerrado as an indication of seed structure, morphology and size. The work was supported by NE/T004851/1 NERC-FAPESP Seedcorn Fund Collaboration Project "Fire-adapted seed traits in Cerrado species" between RHUL (UK) and UNESP (Brazil).

Publication date: 2022-11-14

27 downloads *

735 views *

More information

View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)

Format

Comma-separated values (CSV)

Spatial information

Study area

Spatial representation type

Spatial reference system

WGS 84

Temporal information

Temporal extent

2014-01-01 to 2020-12-31

Provenance & quality

Collected seeds were stored below 40% relative humidity at 20°C. Seed samples were fixed, dehydrated in alcohol and critical point dried. Samples were fixed on Aluminium and coated with gold (30-40 nm) and imaged using a Scanning Electron Microscope (SEM) in 2020. SEM images include scale.

Licensing and constraints

This dataset is available under the terms of the Open Government Licence

Cite this dataset as:

Martins, A.R.; Bailon, R.M.; Fidelis, A.; Kolb, R.M.; Zirondi, H.L.; Motta, G.S.T.; Martins, R.G.; Steinbrecher, T.; Pérez, M.; Leubner-Metzger, G.; Chandler, J.O. (2022). Scanning Electron Micrographs of seed and fruits of plant species from the Cerrado region collected between 2014 and 2020. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/730086fd-80cd-4f44-8b13-b6168c07c7a8

BibTeX RIS