Herbarium collection of the Rio de Janeiro Botanical Garden (RB), Brazil

Abstract

BackgroundThis paper provides a quantitative and general description of the Rio de Janeiro Botanical Garden herbarium (RB) dataset. Created over a century ago, the RB currently comprises ca. 750,000 mounted specimens, with a strong representation of Brazilian flora, mainly from the Atlantic and Amazon forests. Nearly 100% of these specimens have been entered into the database and imaged and, at present, about 17% have been geo-referenced. This data paper is focused exclusively on RB's exsiccatae collection of land plants and algae, which is currently increasing by about twenty to thirty thousand specimens per year thanks to fieldwork, exchange and donations. Since 2005, many national and international projects have been implemented, improving the quality and accessibility of the collection. The most important facilitating factor in this process was the creation of the institutional system for plants collection and management, named JABOT. Since the RB is continuously growing, the dataset is updated weekly on SiBBr and GBIF portals.New informationThe most represented environments are the Atlantic and Amazon forests, a biodiversity hotspot and the world's largest rain forest, respectively. The dataset described in this article contains the data and metadata of plants and algae specimens in the RB collection and the link to access the respective images. Currently, the RB data is publicly available online at several biodiversity portals, such as our institutional database JABOT, the Reflora Virtual Herbarium, the SiBBr and the GBIF portal. However, a description of the RB dataset as a whole is not available in the literature.

A survey of biodiversity informatics: Concepts, practices, and challenges

“…It is also critical to keep globally unique identifiers for each digitized specimen (Güntsch et al, 2017), facilitating consistent access to information and data gathering by biodiversity portals and aggregators (Berendsohn et al, 2011). Some examples of digitization efforts include iDigBio (Paul, Mast, Riccardi, & Nelson, 2013), the Botanic Garden of Rio de Janeiro (Lanna et al, 2018), and German herbaria (Borsch et al, 2020). Some trends and future directions involve the use of artificial intelligence to automate parts of the digitization workflow, such as the automated identification of herbarium specimens using deep learning methods (Carranza-Rojas, Goeau, Bonnet, Mata-Montero, & Joly, 2017).…”

O primeiro checklist de Angiospermas do Município de Nova Bandeirantes, Mato Grosso, Brasil

“…As listas de espécies podem ter caráter local, regional (Zappi et al 2011;Lopes et al 2014;Zappi et al 2016;Sores-Lopes et al 2016b), ou geopolítico municipal (Almeida 2018;Cardoso 2019), estadual (Dutra et al 2015), ou para um país (Forzza et al 2010;BFG 2015;. Também podem apresentar a representatividade de coleções biológicas (Lanna et al 2018) e/ou visando grupos taxonômicos (Fernandes et al 2015;Almeida et al 2016;Teixeira et al 2016;Silva et al 2015;Ribeiro 2018;Ribeiro et al 2018a;. Independente da escala ou o foco que se dão, os objetivos dos checklists são apresentar: (i) as espécies que ocorrem em uma determinada região, (ii) riqueza e diversidade do grupo em questão, (iii) ampliação da distribuição, (iv) lacunas de coletas e diminuição do viés do déficit Linneano e Wallaceano (Thomas et al 2012;Cardoso et al 2017;Antonelli et al 2018).…”

Geographic review on the specimens of the Caatinga Biome in the Jardim Botânico do Rio de Janeiro (RB) herbarium

“…2,700 specimens) and ethnobotany (RBetno – ca. 200 specimens) (Forzza et al 2016, Lanna et al 2018). Data used in the present work were acquired in the RB Herbarium collections and exhibit a historical series encompassing approximately 130 years (Fig.…”