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New versions of this dataset are found at: https://doi.org/10.5281/zenodo.16689326 This repository includes the following: interactions-GloBI-September-14-2021.tsv.gz: a full version of the Global Biotic Interactions downloaded on September 14, 2021. No data transformations have occurred on this dataset after the download globi_bee_data.sh: Shell script for extracting bee records using bee family names from the full version of Global Biotic Interactions all_bee_data_unique.txt: a file that includes only bee interactions, based on extracting bee names from interactions-GloBI-September-14-2021.tsv.gz Global Biotic Interactions (GloBI - https://globalbioticinteractions.org) aims to simplify access to existing records of species interactions, such as predator-prey, plant-pollinator, and virus-host interactions. To achieve this, GloBI follows a process where existing, versioned datasets on species interactions are transformed into various aggregate formats, including tsv, csv, neo4j, rdf/nquad, and darwin core-ish archives, with applied name maps included for explicit taxonomic linking. GloBI owes its success to researchers, collections, projects, and institutions that openly share their datasets. Whenever you use this data, please credit the original data contributors, including citing the specific datasets used in derivative work. Each species interaction record in GloBI is linked to a reference and dataset citation. If you have any suggestions on how to make it easier to cite original datasets, you are welcome to join a discussion on https://globalbioticinteractions.org or related projects. Introduction to Global Bee Interaction Data The dataset available here includes all bee interactions recorded in the Global Biotic Interactions (GloBI; Poelen et al. 2014) index as of September 21, 2021. These interactions are gathered quarterly by the Big Bee Project (Seltmann et al. 2021) from various sources, including natural history collections, community science observations (such as iNaturalist), and scientific literature. The dataset covers a wide range of bee interactions, including flower visitation, parasitic interactions (such as mite and viral interactions), and lecty, among others. The dataset is filtered for unique records based on interaction description and source citation to ensure accuracy and consistency. For other versions of the bee interaction dataset, please refer to Seltmann, 2022. Data DescriptionPlease see the integration process page to better understand how Global Biotic Interactions combines datasets from various sources. The complete interaction dataset for all species can be accessed via https://www.globalbioticinteractions.org/data and the GloBI Community Zenodo publication. Dataset column names definitions https://api.globalbioticinteractions.org/interactionFields or https://api.globalbioticinteractions.org/interactionFields References Jorrit H. Poelen, James D. Simons and Chris J. Mungall. (2014). Global Biotic Interactions: An open infrastructure to share and analyze species-interaction datasets. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2014.08.005 Katja C. Seltmann. (2022). Global Bee Interaction Data (v2.02) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7315159 Seltmann KC, Allen J, Brown BV, Carper A, Engel MS, Franz N, Gilbert E, Grinter C, Gonzalez VH, Horsley P, Lee S, Maier C, Miko I, Morris P, Oboyski P, Pierce NE, Poelen J, Scott VL, Smith M, Talamas EJ, Tsutsui ND, Tucker E (2021) Announcing Big-Bee: An initiative to promote understanding of bees through image and trait digitization. Biodiversity Information Science and Standards 5: e74037. https://doi.org/10.3897/biss.5.74037
Global Biotic Interactions, biodiversity
Global Biotic Interactions, biodiversity
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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