Datasets PNAS

Datasets on wild strawberry and cowpea features</p

Dataset on pollen and nectar

Dataset produced during a research aimed at comparing different methodologies for pollen and nectar sampling in terms of quantity retrieved and nutritional composition. </p

Data on pollen chemistry and pollen retrieval using the different methodologies

Here, we designed and tested a novel, easy-to-assemble tool for pollen sampling: E-PoSa (Electronic Pollen Sampler), based on the use of a portable vacuum cleaner. We compared it with some of the most used sampling methods for pollen (i.e., anthers sieving and sampling of the whole anthers) by looking at the differences in their quantitative recovery and nutritional profile. </p

Raw Data Pioltelli et al. <strong>LANDSCAPE FRAGMENTATION CONSTRAINS BUMBLEBEE NUTRITIONAL ECOLOGY AND FORAGING DYNAMICS</strong>

Project that include four datasets with all the raw data used in the study.  The first dataset contains the results of the chemical analyses on the pollen foraged by Bombus terrestris (i.e. macronutrients contents, antioxidants content and total polyphenols and flavonoids content. Data on pollen richness (number of plant species identified in the pollen through DNA metabarcoding analysis) are also reported. The landscape variable computed in a buffer of 1000 m are reported.  The second dataset contains the results of the monitoring of the foraging activity of the colonies. The number of foragers leaving and entering the colony in an interval of 20 minutes are reported. The landscape variable computed in a buffer of 1000 m are reported.  The third dataset contain the weight measurement of the colony along with the date in which the measurement has been performed. The fourth dataset report the results of the DNA metabarcoding analysis. The ESV table indicate the number of reads for each ESV identified in the pollen samples. </p