Versioned Archive and Review of Biotic Interactions and Taxon Names Found within globalbioticinteractions/funfun hash://md5/5add044df65d840d196d4e6667f3d0ea

Versioned Archive and Review of Biotic Interactions and Taxon Names Found within globalbioticinteractions/funfun hash://md5/5add044df65d840d196d4e6667f3d0ea by Nomer, Elton and Preston, three naive review bots [email protected] https://globalbioticinteractions.org/contribute https://github.com/globalbioticinteractions/funfun/issues 2025-12-09 Abstract Life on Earth is sustained by complex interactions between organisms and their environment. These biotic interactions can be captured in datasets and published digitally. We present a review and archiving process for such an openly accessible digital interactions dataset of known origin and discuss its outcome. The dataset under review, named globalbioticinteractions/funfun, has fingerprint hash://md5/5add044df65d840d196d4e6667f3d0ea, is 3.62MiB in size and contains 98 interactions with 2 unique types of associations (e.g., hasHost) between 24 primary taxa (e.g., Pleurotus ostreatus) and 20 associated taxa (e.g., Malvaceae). This report includes detailed summaries of interaction data, a taxonomic review from multiple catalogs, and an archived version of the dataset from which the reviews are derived. Contents Introduction 2 Data Review and Archive . . . . . . . . . . . . . . . . . . . . . . . . . 2 Methods 3 Results 4 Files..................................... 4 ArchivedDataset.............................. 13 BioticInteractions ............................. 13 1 Interaction Networks . . . . . . . . . . . . . . . . . . . . . . . . . 17 TaxonomicAlignment ........................... 18 AdditionalReviews............................. 21 GloBIReviewBadge............................ 21 GloBIIndexBadge............................. 22 Discussion 22 Acknowledgements 23 Author contributions 23 References 23 Introduction Data Review and Archive Data review and archiving can be a time-consuming process, especially when done manually. This review report aims to help facilitate both activities. It automates the archiving of datasets, including Darwin Core archives, and is a citable backup of a version of the dataset. Additionally, an automatic review of species interaction claims made in the dataset is generated and registered with Global Biotic Interactions (J. H. Poelen, Simons, and Mungall 2014). This review includes summary statistics about, and observations about, the dataset under review : Flores-Moreno, Habacuc, Treseder, Kathleen, K., , Cornwell, William, K., Maynard, Daniel S., Milo, Amy, M., Abarenkov, Kessy, Afkhami, Michelle, E., Aguilar-Trigueros, Carlos, A., Bates, Scott, Bhatnagar, Jennifer, M., Busby, Posy, E., Christian, Natalie, Crowther, Thomas W., Floudas, Dimitri, Gazis, Romina, Hibbett, David, Kennedy, Peter, F., Lindner, Daniel, L., Nilsson, R. Henrik, Powell, Jeff, Schildhauer, Mark, Schilling, Jonathan, Zanne, Amy, E. 2019. fungaltraits aka funfun: a dynamic functional trait database for the world’s fungi. Dataset: https://github.com/traitecoevo/fungaltraits. https://github.com/globalbioticinteractions/funfun/archive/440daf8a9c7f128c4943b26fb27aa66410cd3cff.zip 2025-12-09T00:34:01.632Z hash://md5/5add044df65d840d196d4e6667f3d0ea For additional metadata related to this dataset, please visit https://github.com /globalbioticinteractions/funfun and inspect associated metadata files including, but not limited to, README.md,eml.xml, and/or globi.json. 2 Methods The review is performed through programmatic scripts that leverage tools like Preston (Elliott et al. 2025), Elton (Kuhn, Poelen, and Leinweber 2025), Nomer (Salim and Poelen 2025), globinizer (J. Poelen, Seltmann, and Mietchen 2024) combined with third-party tools like grep, mlr, tail and head. Table 1: Tools used in this review process tool name version preston 0.11.1 elton 0.15.13 nomer 0.5.17 globinizer 0.4.0 mlr 6.0.0 jq 1.6 yq 4.25.3 pandoc 3.1.6.1 duckdb 1.3.1 The review process can be described in the form of the script below 1. # get versioned copy of the dataset (size approx. 3.62MiB) under review elton pull globalbioticinteractions/funfun # generate review notes elton review globalbioticinteractions/funfun\ > review.tsv # export indexed interaction records elton interactions globalbioticinteractions/funfun\ > interactions.tsv # export names and align them with the Catalogue of Life using Nomer elton names globalbioticinteractions/funfun\ | nomer append col\ > name-alignment.tsv or visually, in a process diagram. You can find a copy of the full review script at check-data.sh. See also GitHub and Codeberg. 1Note that you have to first get the data (e.g., via elton pull globalbioticinteractions/funfun) before being able to generate reviews (e.g., elton review globalbioticinteractions/funfun), extract interaction claims (e.g., elton interactions globalbioticinteractions/funfun), or list taxonomic names (e.g., elton names globalbioticinteractions/funfun) 3 dataset origin Elton (a naive review bot) pull (1) indexed interactions generates (2) name alignments Nomer (a naive review bot) extract names (3) generates (5) name catalog uses (4) Figure 1: Review Process Overview Results In the following sections, the results of the review are summarized 2. Then, links to the detailed review reports are provided. Files The following files are produced in this review: filename description biblio.bib list of bibliographic reference of this review check-dataset.sh data review workflow/process as expressed in a bash script data.zip a versioned archive of the data under review HEAD the digital signature of the data under review index.docx review in MS Word format index.html review in HTML format index.md review in Pandoc markdown format index.pdf review in PDF format indexed-citations.csv.gz list of distinct reference citations for reviewed species interaction claims in gzipped comma-separated values file format indexed-citations.html.gz list of distinct reference citations for reviewed species interactions claims in gzipped html file format indexed-citations.tsv.gz list of distinct reference citations for reviewed species interaction claims in gzipped tab-separated values format 2Disclaimer: The results in this review should be considered friendly, yet naive, notes from an unsophisticated robot. Please keep that in mind when considering the review results. 4 filename description indexed-interactions-col-family-colfamily.svg network diagram showing the taxon family to taxon family interaction claims in the dataset under review as interpreted by the Catalogue of Life via Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) indexed-interactions-col-kingdom-colkingdom.svg network diagram showing the taxon kingdom to taxon kingom interaction claims in the dataset under review as interpreted by the Catalogue of Life via Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) indexed-interactions.csv.gz species interaction claims indexed from the dataset under review in gzipped comma-separated values format indexed-interactions.html.gz species interaction claims indexed from the dataset under review in gzipped html format indexed-interactions.tsv.gz species interaction claims indexed from the dataset under review in gzipped tab-separated values format indexed-interactions.parquet species interaction claims indexed from the dataset under review in Apache Parquet format indexed-interactions-sample.csv list of species interaction claims indexed from the dataset under review in gzipped comma-separated values format indexed-interactions-sample.html first 500 species interaction claims indexed from the dataset under review in html format indexed-interactions-sample.tsv first 500 species interaction claims indexed from the dataset under review in tab-separated values format indexed-names.csv.gz taxonomic names indexed from the dataset under review in gzipped comma-separated values format indexed-names.html.gz taxonomic names found in the dataset under review in gzipped html format indexed-names.tsv.gz taxonomic names found in the dataset under review in gzipped tab-separated values format 5 filename description indexed-names.parquet taxonomic names found in the dataset under review in Apache Parquet format indexed-names-resolved-col.csv.gz taxonomic names found in the dataset under review aligned with the Catalogue of Life as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped comma-separated values format indexed-names-resolved-col.html.gz taxonomic names found in the dataset under review aligned with the Catalogue of Life as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped html format indexed-names-resolved-col.tsv.gz taxonomic names found in the dataset under review aligned with the Catalogue of Life as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped tab-separated values format indexed-names-resolved-col.parquet taxonomic names found in the dataset under review aligned with the Catalogue of Life as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in Apache Parquet format indexed-names-resolveddiscoverlife.csv.gz taxonomic names found in the dataset under review aligned with Discover Life bee species checklist as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped comma-separated values format indexed-names-resolveddiscoverlife.html.gz taxonomic names found in the dataset under review aligned with Discover Life bee species checklist as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped html format 6 filename description indexed-names-resolveddiscoverlife.tsv.gz taxonomic names found in the dataset under review aligned with Discover Life bee species checklist as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped tab-separated values format indexed-names-resolveddiscoverlife.parquet taxonomic names found in the dataset under review aligned with Discover Life bee species checklist as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in Apache Parquet format indexed-names-resolved-gbif.csv.gz taxonomic names found in the dataset under review aligned with GBIF Backbone Taxonomy as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped comma-separated values format indexed-names-resolved-gbif.html.gz taxonomic names found in the dataset under review aligned with GBIF Backbone Taxonomy as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped html format indexed-names-resolved-gbif.tsv.gz taxonomic names found in the dataset under review aligned with GBIF Backbone Taxonomy as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped tab-separated values format indexed-names-resolved-gbif.parquet taxonomic names found in the dataset under review aligned with GBIF Backbone Taxonomy as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in Apache Parquet format 7 filename description indexed-names-resolved-itis.csv.gz taxonomic names found in the dataset under review aligned with Integrated Taxonomic Information System (ITIS) as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped comma-separated values format indexed-names-resolved-itis.html.gz taxonomic names found in the dataset under review aligned with Integrated Taxonomic Information System (ITIS) as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped html format indexed-names-resolved-itis.tsv.gz taxonomic names found in the dataset under review aligned with Integrated Taxonomic Information System (ITIS) as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped tab-separated values format indexed-names-resolved-itis.parquet taxonomic names found in the dataset under review aligned with Integrated Taxonomic Information System (ITIS) as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in Apache Parquet format indexed-names-resolved-mdd.csv.gz taxonomic names found in the dataset under review aligned with the Mammal Diversity Database as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped comma-separated values format indexed-names-resolved-mdd.html.gz taxonomic names found in the dataset under review aligned with Mammal Diversity Database as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped html format 8 filename description indexed-names-resolved-mdd.tsv.gz taxonomic names found in the dataset under review aligned with Mammal Diversity Database as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped tab-separated values format indexed-names-resolved-mdd.parquet taxonomic names found in the dataset under review aligned with Mammal Diversity Database as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in Apache Parquet format indexed-names-resolved-ncbi.csv.gz taxonomic names found in the dataset under review aligned with the NCBI Taxonomy as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped comma-separated values format indexed-names-resolved-ncbi.html.gz taxonomic names found in the dataset under review aligned with the NCBI Taxonomy as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped html format indexed-names-resolved-ncbi.tsv.gz taxonomic names found in the dataset under review aligned with the NCBI Taxonomy as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped tab-separated values format indexed-names-resolved-ncbi.parquet taxonomic names found in the dataset under review aligned with the NCBI Taxonomy as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in Apache Parquet format 9 sourceTaxonName count Ochrocladosporium elatum 2 Gibberella fujikuroi 1 Macrophomina phaseolina 1 Trichoderma koningii 1 Epicoccum nigrum 1 Nigrospora oryzae 1 Melanospora zamiae 1 Table 6: Most Frequently Mentioned Associate Taxa (up to 20 most frequent) targetTaxonName count Malvaceae 32 Asteraceae 22 Fabaceae 9 Myrtaceae 7 Compositae 5 Anacardiaceae 4 Boraginaceae 3 Poaceae 2 broad host range 2 Orchidaceae 2 Homo sapiens 1 Lamiaceae 1 Homo sapiens; Lamiaceae 1 Sapotaceae 1 Arecaceae 1 Combretaceae 1 Euphorbiaceae 1 Marattiaceae 1 Rubiaceae 1 Table 7: Most Frequent Interactions between Primary and Associate Taxa (up to 20 most frequent) sourceTaxonName interactionTypeName targetTaxonName count Pleurotus ostreatus hasHost Malvaceae 28 Aureobasidium pullulans pathogenOf Asteraceae 10 Trichoderma harzianum hasHost Asteraceae 5 Trichoderma harzianum hasHost Compositae 5 16 sourceTaxonName interactionTypeName targetTaxonName count Trichoderma harzianum hasHost Myrtaceae 5 Ilyonectria radicicola hasHost Asteraceae 5 Thanatephorus cucumeris hasHost Fabaceae 4 Gibberella zeae hasHost Malvaceae 3 Kluyveromyces marxianus hasHost Boraginaceae 3 Rhizopus stolonifer hasHost Anacardiaceae 2 Rhizopus stolonifer hasHost Fabaceae 2 Schizophyllum commune pathogenOf Myrtaceae 2 Mucor racemosus hasHost Poaceae 2 Neofusicoccum mangiferae hasHost Anacardiaceae 2 Gibberella fujikuroi hasHost Malvaceae 1 Macrophomina phaseolina hasHost Fabaceae 1 Schizophyllum commune pathogenOf Homo sapiens 1 Schizophyllum commune pathogenOf Lamiaceae 1 Schizophyllum commune pathogenOf Homo sapiens; Lamiaceae 1 Interaction Networks The figures below provide a graph view on the dataset under review. The first shows a summary network on the kingdom level, and the second shows how interactions on the family level. It is important to note that both network graphs were first aligned taxonomically using the Catalogue of Life. Please refer to the original (or verbatim) taxonomic names for a more original view on the interaction data. Fungi PlantaeAnimalia Figure 3: Interactions on taxonomic kingdom rank as interpreted by the Catalogue of Life download svg You can download the indexed dataset under review at indexed-interactions.c sv.gz. A tab-separated file can be found at indexed-interactions.tsv.gz Learn more about the structure of this download at GloBI website, by opening a GitHub issue, or by sending an email. Another way to discover the dataset under review is by searching for it on the GloBI website. 17 BionectriaceaeOrchidaceae Botryosphaeriaceae Anacardiaceae Fabaceae Ceratobasidiaceae Ceratostomataceae Asteraceae DidymellaceaeArecaceae Didymosphaeriaceae Hypocreaceae Myrtaceae Sapotaceae MucoraceaePoaceae NectriaceaeMalvaceaePleurotaceae Rhizopodaceae SaccharomycetaceaeBoraginaceae Saccotheciaceae Schizophyllaceae Hominidae Lamiaceae Xylariaceae Figure 4: Interactions on the taxonomic family rank as interpreted by the Catalogue of Life. download svg Taxonomic Alignment As part of the review, all names are aligned against various name catalogs (e.g., col, ncbi, discoverlife, gbif, itis, wfo, mdd, tpt, pbdb, and worms). These alignments can help review name usage or aid in selecting of a suitable taxonomic name resource. Table 8: Sample of Name Alignments providedName relationName resolvedCatalogName resolvedName Anacardiaceae HAS_ACCEPTED_NAME col Anacardiaceae Arecaceae HAS_ACCEPTED_NAME col Arecaceae Asteraceae HAS_ACCEPTED_NAME col Asteraceae Boraginaceae HAS_ACCEPTED_NAME col Boraginaceae Table 9: Distribution of Taxonomic Ranks of Aligned Names by Catalog. Names that were not aligned with a catalog are counted as NAs. So, the total number of unaligned names for a catalog will be listed in their NA row. resolvedCatalogName resolvedRank count col NA 1 18 resolvedCatalogName resolvedRank count col family 17 col genus 1 col species 24 discoverlife NA 43 gbif NA 1 gbif family 17 gbif genus 1 gbif species 24 itis NA 24 itis family 17 itis genus 1 itis species 1 mdd NA 43 ncbi NA 2 ncbi family 16 ncbi genus 1 ncbi species 24 pbdb NA 25 pbdb family 17 pbdb species 1 tpt NA 42 tpt species 1 wfo NA 26 wfo family 17 worms NA 10 worms family 16 worms genus 1 worms species 15 worms subfamily 1 Table 10: Name relationship types per catalog. Name relationship type “NONE” means that a name was not recognized by the associated catalog. “SAME_AS” indicates either a “HAS_ACCEPTED_NAME” or “SYNONYM_OF” name relationship type. We recognize that “SYNONYM_OF” encompasses many types of nomenclatural synonymies (ICZN 1999) (e.g., junior synonym, senior synonyms). resolvedCatalogName relationName count col HAS_ACCEPTED_NAME 39 col NONE 1 col SYNONYM_OF 5 19 resolvedCatalogName relationName count discoverlife NONE 44 gbif HAS_ACCEPTED_NAME 42 gbif NONE 1 gbif SYNONYM_OF 7 itis HAS_ACCEPTED_NAME 19 itis NONE 24 itis SYNONYM_OF 1 mdd NONE 42 mdd HAS_ACCEPTED_NAME 2 ncbi SAME_AS 37 ncbi NONE 2 ncbi SYNONYM_OF 5 pbdb HAS_ACCEPTED_NAME 18 pbdb NONE 25 pbdb SYNONYM_OF 1 tpt NONE 42 tpt HAS_ACCEPTED_NAME 2 wfo HAS_ACCEPTED_NAME 16 wfo NONE 27 wfo SYNONYM_OF 1 worms HAS_ACCEPTED_NAME 33 worms NONE 10 worms SYNONYM_OF 2 Table 11: List of Available Name Alignment Reports catalog name alignment results col associated names alignments report in gzipped html, csv, and tsv) ncbi associated names alignments report in gzipped html, csv, and tsv) discoverlife associated names alignments report in gzipped html, csv, and tsv) gbif associated names alignments report in gzipped html, csv, and tsv) itis associated names alignments report in gzipped html, csv, and tsv) wfo associated names alignments report in gzipped html, csv, and tsv) mdd associated names alignments report in gzipped html, csv, and tsv) 20 catalog name alignment results tpt associated names alignments report in gzipped html, csv, and tsv) pbdb associated names alignments report in gzipped html, csv, and tsv) worms associated names alignments report in gzipped html, csv, and tsv) Additional Reviews Elton, Nomer, and other tools may have difficulties interpreting existing species interaction datasets. Or, they may misbehave, or otherwise show unexpected behavior. As part of the review process, detailed review notes are kept that document possibly misbehaving, or confused, review bots. An sample of review notes associated with this review can be found below. Table 12: First few lines in the review notes. reviewDate reviewCommentType reviewComment 2025-12-09T00:40:53Z note source taxon name missing 2025-12-09T00:40:53Z note source taxon name missing 2025-12-09T00:40:53Z note source taxon name missing 2025-12-09T00:40:53Z note source taxon name missing In addition, you can find the most frequently occurring notes in the table below. Table 13: Most frequently occurring review notes, if any. reviewComment count source taxon name missing 15 For additional information on review notes, please have a look at the first 500 Review Notes in html format or the download full gzipped csv or tsv archives. GloBI Review Badge As part of the review, a review badge is generated. This review badge can be included in webpages to indicate the review status of the dataset under review. Note that if the badge is green, no review notes were generated. If the badge is yellow, the review bots may need some help with interpreting the species interaction data. 3Up-to-date status of the GloBI Review Badge can be retrieved from the GloBI Review Depot 21 review review 01F 4AC 01F 4AC Figure 5: Picture of a GloBI Review Badge 3 GloBI Index Badge If the dataset under review has been registered with GloBI, and has been succesfully indexed by GloBI, the GloBI Index Status Badge will turn green. This means that the dataset under review was indexed by GloBI and is available through GloBI services and derived data products. GloBI GloBI ✖ ✖ Figure 6: Picture of a GloBI Index Badge 4 If you’d like to keep track of reviews or index status of the dataset under review, please visit GloBI’s dataset index 5for badge examples. Discussion This review and archive provides a means of creating citable versions of datasets that change frequently. This may be useful for dataset managers, including natural history collection data managers, as a backup archive of a shared Darwin Core archive. It also serves as a means of creating a trackable citation for the dataset in an automated way, while also including some information about the contents of the dataset. This review aims to provide a perspective on the dataset to aid in understanding of species interaction claims discovered. However, it is important to note that this review does not assess the quality of the dataset. Instead, it serves as an indication of the open-ness6and FAIRness (Wilkinson et al. 2016; Trekels et al. 2023) of the dataset: to perform this review, the data was likely openly available, Findable, Accessible, Interoperable and Reusable. The current Open-FAIR assessment is qualitative, and a more quantitative approach can be implemented with specified measurement units. This report also showcases the reuse of machine-actionable (meta)data, something highly recommended by the FAIR Data Principles (Wilkinson et al. 2016). Making (meta)data machine-actionable enables more precise procesing by computers, enabling even naive review bots like Nomer and Elton to interpret the 4Up-to-date status of the GloBI Index Badge can be retrieved from GloBI’s API 5At time of writing (2025-12-09) the version of the GloBI dataset index was available at https://globalbioticinteractions.org/datasets 6According to http://opendefinition.org/: “Open data is data that can be freely used, reused and redistributed by anyone - subject only, at most, to the requirement to attribute and sharealike.” 22 data effectively. This capability is crucial for not just automating the generation of reports, but also for facilitating seamless data exchanges, promoting interoperability. Acknowledgements We thank the many humans that created us and those who created and maintained the data, software and other intellectual resources that were used for producing this review. In addition, we are grateful for the natural resources providing the basis for these human and bot activities. Also, thanks to https://github.com/zygoballus for helping improve the layout of the review tables. Author contributions Nomer was responsible for name alignments. Elton carried out dataset extraction, and generated the review notes. Preston tracked, versioned, and packaged, the dataset under review. References Elliott, Michael, Jorrit Poelen, Icaro Alzuru, Emilio Berti, and partha04patel. 2025. “Bio-Guoda/Preston: 0.10.5.” Zenodo. https://doi.org/10.5281/zeno do.14662206. ICZN. 1999. “International Code of Zoological Nomenclature.” The International Trust for Zoological Nomenclature, London, UK. https://www.iczn.o rg/the-code/the-code-online/. Kuhn, Tobias, and Michel Dumontier. 2014. “Trusty URIs: Verifiable, Immutable, and Permanent Digital Artifacts for Linked Data.” In The Semantic Web: Trends and Challenges, edited by Valentina Presutti, Claudia d’Amato, Fabien Gandon, Mathieu d’Aquin, Steffen Staab, and Anna Tordai, 395–410. Cham: Springer International Publishing. Kuhn, Tobias, Jorrit Poelen, and Katrin Leinweber. 2025. “Globalbioticinteractions/Elton: 0.15.1.” Zenodo. https://doi.org/10.5281/zenodo.14927734. Poelen, Jorrit H. (ed.). 2024. “Nomer Corpus of Taxonomic Resources Hash://Sha256/ B60c0d25a16ae77b24305782017b1a270b79b5d1746f832650 F2027ba536e276 Hash://Md5/17f1363a277ee0e4ecaf1b91c665e47e.” Zenodo. https://doi.org/10.5281/zenodo.12695629. Poelen, Jorrit H., James D. Simons, and Chris J. Mungall. 2014. “Global Biotic Interactions: An Open Infrastructure to Share and Analyze SpeciesInteraction Datasets.” Ecological Informatics 24 (November): 148–59. https: //doi.org/10.1016/j.ecoinf.2014.08.005. Poelen, Jorrit, Katja Seltmann, and Daniel Mietchen. 2024. “Globalbioticinteractions/Globinizer: 0.4.0.” Zenodo. https://doi.org/10.5281/zenodo.10647 23 565. Salim, José Augusto, and Jorrit Poelen. 2025. “Globalbioticinteractions/Nomer: 0.5.15.” Zenodo. https://doi.org/10.5281/zenodo.14893840. Trekels, Maarten, Debora Pignatari Drucker, José Augusto Salim, Jeff Ollerton, Jorrit Poelen, Filipi Miranda Soares, Max Rünzel, Muo Kasina, Quentin Groom, and Mariano Devoto. 2023. “WorldFAIR Project (D10.1) Agriculture-related pollinator data standards use cases report.” Zenodo. https://doi.org/10.5281/zenodo.8176978. Wilkinson, Mark D., Michel Dumontier, IJsbrand Jan Aalbersberg, Gabrielle Appleton, Myles Axton, Arie Baak, Niklas Blomberg, et al. 2016. “The FAIR Guiding Principles for Scientific Data Management and Stewardship.” Scientific Data 3 (1). https://doi.org/10.1038/sdata.2016.18. 24