CETAF-DiSSCo/COVID19-TAF biodiversity-related knowledge hub working group: indexed biotic interactions and review summary

• Main Authors: Poelen, Jorrit, Upham, Nathan, Agosti, Donat, Ruschel, Tatiana, Guidoti, Marcus, Reeder, DeeAnn, Simmons, Nancy, Penev, Lyubomir, Dimitrova, Mariya, Csorba, Gabor, Groom, Quentin, Willoughby, Anna
• Format: Dataset
• Language: English
• Published: Zenodo 2020
• Subjects: biodiversity; species interactions; virus-host; bats; Rojas; Northwest Russia; Mite
• Online Access: https://dx.doi.org/10.5281/zenodo.3839098; https://zenodo.org/record/3839098

This data publication originated as part of developing a biodiversity-related knowledge hub on COVID-19 via COVID19-TAF - Communities Taking Action (https://cetaf.org/covid19-taf-communities-taking-action), a community-rooted initiative raised jointly by the Consortium of European Taxonomic Facilitaties (CETAF, https://cetaf.org) and Distributed Systems of Scientific Collections (DiSSCo, https://www.dissco.eu/). This archive contains the biodiversity datasets of interest identified in period 14 April-21 May 2020 through COVID19-TAF activities and subsequently indexed by Global Biotic Interactions (GloBI, https://globalbioticinteractions.org). GloBI provides open access to finding species interaction data (e.g., predator-prey, pollinator-plant, virus-host, parasite-host) by combining existing open datasets using open source software. These identified datasets (see references and reviews below) add to a growing collection of open species interaction datasets already indexed by GloBI. So, this data publication only includes a small subset of indexed datasets and include only datasets that were added as a direct consequence of COVID19-TAF activities of the biodiversity-related knowledge hub working group. If you have questions or comments about this publication, please open an issue at https://github.com/ParasiteTracker/tpt-reporting or contact the authors by email. Funding: The creation of this archive was made possible in part by reporting software developed as part of the National Science Foundation award "Collaborative Research: Digitization TCN: Digitizing collections to trace parasite-host associations and predict the spread of vector-borne disease," Award numbers DBI:1901932 and DBI:1901926 . Also, this material is based upon work supported by the National Science Foundation under Grant No. DGE-1545433 . 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. GloBI Data Review Report Datasets under review: - Marcus Guidoti, Tatiana Ruschel, Donat Agosti. 2020. Corona virus related biotic associations manually extracted from literature. Plazi. accessed via https://github.com/globalbioticinteractions/plazi-covid19/archive/326578b0d9f974760dcd2e962d86636a6487a6c0.zip on 2020-05-21T17:02:04.918Z - De Rojas M, Doña J, Dimov I (2020) A comprehensive survey of Rhinonyssid mites (Mesostigmata: Rhinonyssidae) in Northwest Russia: New mite-host associations and prevalence data. Biodiversity Data Journal 8: e49535. https://doi.org/10.3897/BDJ.8.e49535 accessed via https://github.com/globalbioticinteractions/pensoft-table/archive/3488e0397ca4e083d5eca6949951e426a75713e3.zip on 2020-05-21T17:02:09.381Z - Pensoft Darwin Core Archives with associateTaxa columns accessed via https://github.com/globalbioticinteractions/pensoft-dwca/archive/a3e075e4d7a03ba3605af144e3f2a4e55e4bdb03.zip on 2020-05-21T17:02:17.674Z - Pensoft Darwin Core Archives available via Integrated Publication Toolkit accessed via https://github.com/globalbioticinteractions/pensoft-ipt/archive/4ad4b47978324681289e36f8c2b247b1bcc97b1a.zip on 2020-05-21T17:02:45.806Z - Olival, K. J., Hosseini, P. R., Zambrana-Torrelio, C., Ross, N., Bogich, T. L., & Daszak, P. (2017). Host and viral traits predict zoonotic spillover from mammals. Nature, 546(7660), 646–650. doi:10.1038/nature22975 accessed via https://github.com/globalbioticinteractions/olival2017/archive/f61070a5339d0e6c6e76d7eb4e2102decb52317d.zip on 2020-05-21T17:02:48.553Z - Chen L, Liu B, Yang J, Jin Q, 2014. DBatVir: the database of bat-associated viruses. Database (Oxford). 2014:bau021. doi:10.1093/database/bau021 accessed via https://github.com/globalbioticinteractions/dbatvir/archive/bcfe5b7ada567771aedf291474c896dc94550681.zip on 2020-05-21T17:02:52.034Z - Geiselman, Cullen K. and Tuli I. Defex. 2015. Bat Eco-Interactions Database. www.batplant.org accessed via https://github.com/globalbioticinteractions/batplant/archive/1fe61d1e90335cf3716365d1322c79abde5a4ca7.zip on 2020-05-21T17:11:53.998Z - Eneida L. Hatcher, Sergey A. Zhdanov, Yiming Bao, Olga Blinkova, Eric P. Nawrocki, Yuri Ostapchuck, Alejandro A. Schäffer, J. Rodney Brister, Virus Variation Resource – improved response to emergent viral outbreaks, Nucleic Acids Research, Volume 45, Issue D1, January 2017, Pages D482–D490, https://doi.org/10.1093/nar/gkw1065 . Data downloaded via https://www.ncbi.nlm.nih.gov/labs/virus/vssi on 2020-03-14 accessed via https://github.com/globalbioticinteractions/ncbi-virus/archive/60769efcda06b4719e358e3bae7bad93ccebabe6.zip on 2020-05-21T17:13:26.182Z - Quentin J. Groom. 2020. Bat interation data manually extracted from literature. accessed via https://zenodo.org/record/3816676/files/qgroom/batinterations-v1.0.1.zip on 2020-05-22T02:13:51.699Z Generated on: 2020-05-22 by: GloBI's Elton 0.9.8 (see https://github.com/globalbioticinteractions/elton). Note that all files ending with .tsv are files formatted as UTF8 encoded tab-separated values files. https://www.iana.org/assignments/media-types/text/tab-separated-values Included in this review archive are: README: This file (lightly edited after initial automated generation). review_summary.tsv: Summary across all reviewed collections of total number of distinct review comments. review_summary_by_collection.tsv: Summary by reviewed collection of total number of distinct review comments. indexed_interactions_by_collection.tsv: Summary of number of indexed interaction records by institutionCode and collectionCode. review_comments.tsv.gz: All review comments by collection. indexed_interactions_full.tsv.gz: All indexed interactions for all reviewed collections. indexed_interactions_simple.tsv.gz: All indexed interactions for all reviewed collections selecting only sourceInstitutionCode, sourceCollectionCode, sourceCatalogNumber, sourceTaxonName, interactionTypeName and targetTaxonName. datasets_under_review.tsv: Details on the datasets under review. elton.jar: Program used to update datasets and generate the review reports and associated indexed interactions. datasets.zip: source datasets collected by elton in process of executing the generate_report.sh script. generate_report.sh: program used to generate the report generate_report.log: log file generated as part of running the generate_report.sh script