Global Biotic Interactions: Interpreted Data Products hash://md5/0f10c262cb621a9647857874263d89e2 hash://sha256/a789150a91a9fd503000d235a9523d3c2f769e66e5b0cbb34c85ad3f1eafa31b
Authors/Creators
Description
Global Biotic Interactions: Interpreted Data Products
Global Biotic Interactions (GloBI, https://globalbioticinteractions.org, [1]) aims to facilitate access to existing species interaction records (e.g., predator-prey, plant-pollinator, virus-host). This data publication provides interpreted species interaction data products. These products are the result of a process in which versioned, existing species interaction datasets ([2]) are linked to the so-called GloBI Taxon Graph ([3]) and transformed into various aggregate formats (e.g., tsv, csv, neo4j, rdf/nquad, darwin core-ish archives). In addition, the applied name maps are included to make the applied taxonomic linking explicit.
Technical info
Citation
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GloBI is made possible by researchers, collections, projects and institutions openly sharing their datasets. When using this data, please make sure to attribute these *original data contributors*, including citing the specific datasets in derivative work. Each species interaction record indexed by GloBI contains a reference and dataset citation. Also, a full lists of all references can be found in citations.csv/citations.tsv files in this publication. If you have ideas on how to make it easier to cite original datasets, please open/join a discussion via https://globalbioticinteractions.org or related projects.
To credit GloBI for more easily finding interaction data, please use the following citation to reference GloBI:
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.
Bias and Errors
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As with any analysis and processing workflow, care should be taken to understand the bias and error propagation of data sources and related data transformation processes. The datasets indexed by GloBI are biased geospatially, temporally and taxonomically ([5], [6]). Also, mapping of verbatim names from datasets to known name concept may contains errors due to synonym mismatches, outdated names lists, typos or conflicting name authorities. Finally, bugs may introduce bias and errors in the resulting integrated data product.
To help better understand where bias and errors are introduced, only versioned data and code are used as an input: the datasets ([2]), name maps ([3]) and integration software ([6]) are versioned so that the integration processes can be reproduced if needed. This way, steps take to compile an integrated data record can be traced and the sources of bias and errors can be more easily found.
This version was preceded by [7].
Contents
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README:
this file
citations.csv.gz:
contains data citations in a in a gzipped comma-separated values format.
citations.tsv.gz:
contains data citations in a gzipped tab-separated values format.
datasets.csv.gz:
contains list of indexed datasets in a gzipped comma-separated values format.
datasets.tsv.gz:
contains list of indexed datasets in a gzipped tab-separated values format.
verbatim-interactions.csv.gz
contains species interactions tabulated as pair-wise interaction in a gzipped comma-separated values format. Included taxonomic name are *not* interpreted, but included as documented in their sources.
verbatim-interactions.tsv.gz
contains species interactions tabulated as pair-wise interaction in a gzipped tab-separated values format. Included taxonomic name are *not* interpreted, but included as documented in their sources.
verbatim-interactions.parquet
contains species interactions tabulated as pair-wise interaction in parquet file format. Included taxonomic name are *not* interpreted, but included as documented in their sources.
interactions.csv.gz:
contains species interactions tabulated as pair-wise interactions in a gzipped comma-separated values format. Included taxonomic names are interpreted using taxonomic alignment workflows and may be different than those provided by the original sources.
interactions.tsv.gz:
contains species interactions tabulated as pair-wise interactions in a gzipped tab-separated values format. Included taxonomic names are interpreted using taxonomic alignment workflows and may be different than those provided by the original sources.
interactions.parquet:
contains species interactions tabulated as pair-wise interactions in a parquet file format. Included taxonomic names are interpreted using taxonomic alignment workflows and may be different than those provided by the original sources.
refuted-interactions.csv.gz:
contains refuted species interactions tabulated as pair-wise interactions in a gzipped comma-separated values format. Included taxonomic names are interpreted using taxonomic alignment workflows and may be different than those provided by the original sources.
refuted-interactions.tsv.gz:
contains refuted species interactions tabulated as pair-wise interactions in a gzipped tab-separated values format. Included taxonomic names are interpreted using taxonomic alignment workflows and may be different than those provided by the original sources.
refuted-verbatim-interactions.csv.gz:
contains refuted species interactions tabulated as pair-wise interactions in a gzipped comma-separated values format. Included taxonomic name are *not* interpreted, but included as documented in their sources.
refuted-verbatim-interactions.tsv.gz:
contains refuted species interactions tabulated as pair-wise interactions in a gzipped tab-separated values format. Included taxonomic name are *not* interpreted, but included as documented in their sources.
interactions.nq.gz:
contains species interactions expressed in the resource description framework in a gzipped rdf/quads format.
dwca-by-study.zip:
contains species interactions data as a Darwin Core Archive aggregated by study using a custom, occurrence level, association extension.
dwca.zip:
contains species interactions data as a Darwin Core Archive using a custom, occurrence level, association extension.
neo4j-graphdb.zip:
contains a neo4j v3.5.32 graph database snapshot containing a graph representation of the species interaction data.
taxonCache.tsv.gz:
contains hierarchies and identifiers associated with names from naming schemes in a gzipped tab-separated values format.
taxonMap.tsv.gz:
describes how names in existing datasets were mapped into existing naming schemes in a gzipped tab-separated values format.
References
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[1] 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. doi: 10.1016/j.ecoinf.2014.08.005.
[2] Poelen, J. H. (2020) Global Biotic Interactions: Elton Dataset Cache. Zenodo. doi: 10.5281/ZENODO.3950557.
[3] Poelen, J. H. (2021). Global Biotic Interactions: Taxon Graph (Version 0.3.28) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4451472
[4] Hortal, J. et al. (2015) Seven Shortfalls that Beset Large-Scale Knowledge of Biodiversity. Annual Review of Ecology, Evolution, and Systematics, 46(1), pp.523–549. doi: 10.1146/annurev-ecolsys-112414-054400.
[5] Cains, M. et al. (2017) Ivmooc 2017 - Gap Analysis Of Globi: Identifying Research And Data Sharing Opportunities For Species Interactions. Zenodo. Zenodo. doi: 10.5281/ZENODO.814978.
[6] Poelen, J. et al. (2022) globalbioticinteractions/globalbioticinteractions v0.24.6. Zenodo. doi: 10.5281/ZENODO.7327955.
[7] GloBI Community. (2024). Global Biotic Interactions: Interpreted Data Products hash://md5/946f7666667d60657dc89d9af8ffb909 hash://sha256/4e83d2daee05a4fa91819d58259ee58ffc5a29ec37aa7e84fd5ffbb2f92aa5b8 (0.7) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11552565
Content References
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hash://sha256/2bbca6f3bf68835ccc9f3cb11fca2758543437fe74b5b73b52e9e920b49405a5 citations.csv.gzhash://sha256/1e563cb33d888061e80e7707f9ef170706056a87a5a17972f058aa1f20b2aa4e citations.tsv.gzhash://sha256/93e0364cd4d4e5ff90c2a6bf97ab8dfd26935a79b1e798135b1f519dbd008ec3 datasets.csvhash://sha256/93e0364cd4d4e5ff90c2a6bf97ab8dfd26935a79b1e798135b1f519dbd008ec3 datasets.tsvhash://sha256/20cd3b5289bf022d58b318ba4e3c76e8c25717c39b3765a0623d02ee344558dc dwca-by-study.ziphash://sha256/6185ae0fdb9a1184a267a5d8c7e3d976c8cb5d8bf9d48510219392ac9b0c241c dwca.ziphash://sha256/a99a8ff5b032007175584a2e1d48f82fc61e77dd16c95fe8d8430c4de8e4329b interactions.csv.gzhash://sha256/b0e60122d57058acd6ed1eefc093b13d2726570074d93c3b95dfe9f584347da1 interactions.nq.gzhash://sha256/a719e08093a482594dd136df6c37a5df45aaeeb515ed3cf73ba9d416e38dde25 interactions.parquethash://sha256/095e57398420d1e0746e61233c796beedcfb8e03bd0c6a732aa17ae62043bd17 interactions.tsv.gzhash://sha256/bbceba92080aa898adc86f8edd564ebccb50693db318e62cbd94e526eb1f793d neo4j-graphdb.ziphash://sha256/d2482a62d7199bb8e31520ab1fbc551890b8917b17c49c1eb39d2ac110195971 refuted-interactions.csv.gzhash://sha256/674e5b069992ab8a7fe98d76d0b9eb531c90c3ca267f434d14aa44a72ebbf8d6 refuted-interactions.tsv.gzhash://sha256/4b1098f4f66fcae901c969608563d6925db54b57e8a44b031c45d5966016d681 refuted-verbatim-interactions.csv.gzhash://sha256/b384ac69bfb16577c7b681804b65404efe68e69834860f9ccebc618a3910b9b4 refuted-verbatim-interactions.tsv.gzhash://sha256/d3278ce77771daef9fd76983252e1eb135946520eca73d9a7671fd9f843833a2 taxonCache.tsv.gzhash://sha256/911f77f60914e28148e2a4ab432e49f00d94c267ea61295e7d51587fc7d651f6 taxonMap.tsv.gzhash://sha256/2523483164965f54809756cba84fe06558b391d5a0520827b70bfb81caf0a030 verbatim-interactions.csv.gzhash://sha256/65d9c6382675bac433aabe7eebe5b6405f81f3dec757cd7a89103c0704a4654f verbatim-interactions.parquethash://sha256/d614a6c9bc2d6ccd4b3bb8e675ec42cfd1f177b448852618a54cb2053f9b345e verbatim-interactions.tsv.gz
Files
datasets.csv
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