RESUMEN
BACKGROUND: The dataset covers bird observation occurrences in Russia and neighbouring regions (ex-USSR countries and some other countries of Eastern and Western Europe) from 2001-2021. It is based on the internet platform "Online bird observation diaries" (ru-birds.ru), which allows professional ornithologists and amateur bird lovers to exchange their results and to jointly build a common collection of data. The taxonomic backbone of the occurrence dataset follows the standardised GBIF checklist dataset to ensure correct cross-linking of the names.Currently, the database contains 541,900 records of occurrences of 713 bird species, which makes it the largest dataset on birds of Russia and neighbouring regions published in GBIF. NEW INFORMATION: The occurrence dataset contributes to filling gaps in the bird distribution in Russia and Eastern Europe. It can be used for a deeper look at their populations, phenology and migrations over this area. The availability of special tools for verification of the entered information makes the database a valuable tool for analysing occurrences of non-native species, studying vagrancy, immigration, invasions and range dynamics.The dataset is regularly updated. Over the 11 months of 2021, it has increased by 98,165 occurrences.
RESUMEN
BACKGROUND: Here we present the sampling event dataset that contributes to the knowledge of current vegetation of the Prioksko-Terrasnyi Biosphere Reserve (part of the UNESCO World Network of Biosphere Reserves), Moscow Region, Russia. The Reserve is situated on the terraces of the Oka River in the zone of mixed coniferous forests. NEW INFORMATION: The dataset provides 269 relevés (9174 associated occurrences) of renewed vegetation collected in 2019-2020. It is aimed at sampling vegetation data from the Reserve area with particular interest to sites with invasive species and sites with recent deadfall in the spruce stands caused by the bark beetle-typographer. The dataset contains representative information on plant communities in localities with assigned GPS coordinates, sampled using the standard relevé method with the Braun-Blanquet cover-abundance scale. During this study, we found two vascular plant species included in the Red Data Book of the Russian Federation, 25 species from the Red Data Book of Moscow Region, as well as 19 alien vascular plant species for the Reserve. These data contribute to our knowledge of species composition and structure of a renewed vegetation of the Reserve, protected and alien species distribution.
