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 : (article?){https://doi.org/10.1002/ecy.70049, author = {Fuzessy, Lisieux and Pizo, Marco Aurélio}, title = {NeoFrugivory: A comprehensive database for frugivory interactions and functional traits in the Neotropics}, journal = {Ecology}, volume = {106}, number = {3}, pages = {e70049}, keywords = {frugivory, frugivory dataset, functional ecology, mutualism, plant traits, tropical ecology, vertebrate traits}, doi = {https://doi.org/10.1002/ecy.70049}, url = {https://esajournals.onlinelibrary.wiley.com/doi/abs/10.1002/ecy.70049}, eprint = {https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1002/ecy.70049}, year = {2025} } https://github.com/globalbioticinteractions/neofrugivory/archive/b4e55458ffb157f13f653536f31c72fa7ad3f0d4.zip 2026-01-24T05:01:57.633Z hash://md5/3075844949dca296b8a7b5c2233be912 For additional metadata related to this dataset, please visit https://github.com/globalbioticinteractions/neofrugivory and inspect associated metadata files including, but not limited to, README.md, eml.xml, and/or globi.json. 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. Tools used in this review process tool name version preston 0.11.1 elton 0.16.4 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 mapserver 7.6.4 The review process can be described in the form of the script below 1. # get versioned copy of the dataset (size approx. 2.45MiB) under review elton pull globalbioticinteractions/neofrugivory # generate review notes elton review globalbioticinteractions/neofrugivory\ > review.tsv # export indexed interaction records elton interactions globalbioticinteractions/neofrugivory\ > interactions.tsv # export names and align them with the Catalogue of Life using Nomer elton names globalbioticinteractions/neofrugivory\ | nomer append col\ > name-alignment.tsv or visually, in a process diagram. Review Process Overview You can find a copy of the full review script at check-data.sh. See also GitHub and Codeberg. 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 indexed-interactions-col-family-col-family.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-col-kingdom.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.png species interaction claims indexed from the dataset under review plotted on a map indexed-interactions.gpkg species interaction claims indexed from the dataset under review in GeoPackage format indexed-interactions-h3.gpkg geospatially clustered h3 species interaction claims indexed from the dataset under review in GeoPackage 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 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-resolved-discoverlife.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-resolved-discoverlife.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 indexed-names-resolved-discoverlife.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-resolved-discoverlife.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 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 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 indexed-names-resolved-pbdb.csv.gz taxonomic names found in the dataset under review aligned with the Paleobiology Database as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped comma-separated values format indexed-names-resolved-pbdb.html.gz taxonomic names found in the dataset under review aligned with Paleobiology Database as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped html format indexed-names-resolved-pbdb.tsv.gz taxonomic names found in the dataset under review aligned with Paleobiology Database as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped tab-separated values format indexed-names-resolved-pbdb.parquet taxonomic names found in the dataset under review aligned with Paleobiology Database as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in Apache Parquet format indexed-names-resolved-tpt.csv.gz taxonomic names found in the dataset under review aligned with the Terrestrial Parasite Tracker (TPT) Taxonomic Resource as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped comma-separated values format indexed-names-resolved-tpt.html.gz taxonomic names found in the dataset under review aligned with the Terrestrial Parasite Tracker (TPT) Taxonomic Resource as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped html format indexed-names-resolved-tpt.tsv.gz taxonomic names found in the dataset under review aligned with the Terrestrial Parasite Tracker (TPT) Taxonomic Resource as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped tab-separated values format indexed-names-resolved-tpt.parquet taxonomic names found in the dataset under review aligned with the Terrestrial Parasite Tracker (TPT) Taxonomic Resource as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in Apache Parquet format indexed-names-resolved-wfo.csv.gz taxonomic names found in the dataset under review aligned with the World of Flora Online as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped comma-separated values format indexed-names-resolved-wfo.html.gz taxonomic names found in the dataset under review aligned with the World of Flora Online as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped html format indexed-names-resolved-wfo.tsv.gz taxonomic names found in the dataset under review aligned with the World of Flora Online as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped tab-separated values format indexed-names-resolved-wfo.parquet taxonomic names found in the dataset under review aligned with the World of Flora Online as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in Apache Parquet format indexed-names-resolved-worms.csv.gz taxonomic names found in the dataset under review aligned with the World Register of Marine Species (WoRMS) as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped comma-separated values format indexed-names-resolved-worms.html.gz taxonomic names found in the dataset under review aligned with the World Register of Marine Species (WoRMS) as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped html format indexed-names-resolved-worms.tsv.gz taxonomic names found in the dataset under review aligned with the World Register of Marine Species (WoRMS) as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in gzipped tab-separated values format indexed-names-resolved-worms.parquet taxonomic names found in the dataset under review aligned with the World Register of Marine Species (WoRMS) as accessed through the Nomer Corpus of Taxonomic Resources (J. H. (ed. ). Poelen 2024) in Apache Parquet format indexed-names-sample.csv first 500 taxonomic names found in the dataset under review in comma-separated values format indexed-names-sample.html first 500 taxonomic names found in the dataset under review in html format indexed-names-sample.tsv first 500 taxonomic names found in the dataset under review in tab-separated values format interaction.svg diagram summarizing the data model used to index species interaction claims nanopub-sample.trig first 500 species interaction claims as expressed in the nanopub format (Kuhn and Dumontier 2014) nanopub.trig.gz species interaction claims as expressed in the nanopub format (Kuhn and Dumontier 2014) process.svg diagram summarizing the data review processing workflow prov.nq origin of the dataset under review as expressed in rdf/nquads review.csv.gz review notes associated with the dataset under review in gzipped comma-separated values format review.html.gz review notes associated with the dataset under review in gzipped html format review.tsv.gz review notes associated with the dataset under review in gzipped tab-separated values format review-sample.csv first 500 review notes associated with the dataset under review in comma-separated values format review-sample.html first 500 review notes associated with the dataset under review in html format review-sample.tsv first 500 review notes associated with the dataset under review in tab-separated values format review.svg a review badge generated as part of the dataset review process zenodo.json metadata of this review expressed in Zenodo record metadata Archived Dataset Note that data.zip file in this archive contains the complete, unmodified archived dataset under review. Biotic Interactions Biotic Interaction Data Model In this review, biotic interactions (or biotic associations) are modeled as a primary (aka subject, source) organism interacting with an associate (aka object, target) organism. The dataset under review classified the primary/associate organisms with specific taxa. The primary and associate organisms The kind of interaction is documented as an interaction type. The dataset under review, named globalbioticinteractions/neofrugivory, has fingerprint hash://md5/3075844949dca296b8a7b5c2233be912, is 2.45MiB in size and contains 14,808 interactions with 1 unique type of association (e.g., eats) between 748 primary taxa (e.g., Tapirus_terrestris) and 2,663 associated taxa (e.g., ). An exhaustive list of indexed interaction claims can be found in gzipped csv, tsv, geopackage and parquet archives. To facilitate discovery, a preview of claims available in the gzipped html page at indexed-interactions.html.gz are shown below. The exhaustive list was used to create the following data summaries below. Sample of Indexed Interaction Claims sourceTaxonName interactionTypeName targetTaxonName referenceCitation Ametrida_centurio eats Piper_aduncum Florez-Montero GL, Muylaert RL, Nogueira MR, Geiselman C, Santana SE, Stevens RD, Tschapka M, Rodrigues FA, Mello MAR, 2022. NeoBat Interactions: A data set of bat–plant interactions in the Neotropics. Ametrida_centurio eats Piper_aduncum Bredt A, Uieda W, Pedro WA, 2012. Plantas e morcegos na recuperação de áreas degradadas e na paisagem urbana. Anoura_caudifer eats Carica_papaya Bredt A, Uieda W, Pedro WA, 2012. Plantas e morcegos na recuperação de áreas degradadas e na paisagem urbana. Anoura_caudifer eats Musa_x_paradisiaca Bredt A, Uieda W, Pedro WA, 2012. Plantas e morcegos na recuperação de áreas degradadas e na paisagem urbana. Most Frequently Mentioned Interaction Types (up to 20 most frequent) interactionTypeName count eats 14808 Most Frequently Mentioned Primary Taxa (up to 20 most frequent) sourceTaxonName count Tapirus_terrestris 547 Lagothrix_lagothricha 431 Carollia_perspicillata 394 Leontocebus_fuscicollis 369 Artibeus_lituratus 330 Tamarinus_mystax 293 Cebus_capucinus 271 Alouatta_guariba 263 Brachyteles_arachnoides 245 Alouatta_seniculus 242 Sapajus_apella 226 Tangara_sayaca 213 Turdus_leucomelas 200 Artibeus_jamaicensis 197 Ateles_belzebuth 175 Dacnis_cayana 173 Tangara_cayana 166 Pitangus_sulphuratus 162 Turdus_rufiventris 160 Most Frequently Mentioned Associate Taxa (up to 20 most frequent) targetTaxonName count 191 Ficus 176 Cecropia_pachystachya 172 Miconia_albicans 167 Euterpe_edulis 164 Myrsine_coriacea 164 Alchornea_glandulosa 141 Mauritia_flexuosa 121 Trema_micrantha 120 Casearia_sylvestris 113 Didymopanax_morototoni 102 Miconia_cinnamomifolia 94 Ficus_insipida 91 Cecropia_glaziovii 89 Cabralea_canjerana 89 Erythroxylum_deciduum 85 Myrsine_umbellata 84 Miconia_chamissois 84 Psidium_guajava 83 Most Frequent Interactions between Primary and Associate Taxa (up to 20 most frequent) sourceTaxonName interactionTypeName targetTaxonName count Carollia_perspicillata eats Piper 27 Artibeus_jamaicensis eats Ficus_insipida 15 Dasyprocta_punctata eats Astrocaryum_standleyanum 15 Carollia_perspicillata eats Solanum 14 Artibeus_lituratus eats Ficus 13 Carollia_perspicillata eats Piper_aduncum 13 Carollia_perspicillata eats Piper_amalago 13 Dasyprocta_punctata eats Attalea_butyracea 13 Lagothrix_lagothricha eats 12 Artibeus_lituratus eats Cecropia_pachystachya 11 Carollia_perspicillata eats Vismia 11 Dasyprocta_punctata eats Dipteryx_oleifera 11 Tapirus_terrestris eats Mauritia_flexuosa 11 Artibeus_jamaicensis eats Ficus 10 Artibeus_lituratus eats Cecropia_glaziovii 10 Artibeus_lituratus eats Ficus_insipida 10 Turdus_flavipes eats Euterpe_edulis 10 Alouatta_guariba eats 10 Tapirus_terrestris eats Ficus 10 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. Interactions on taxonomic kingdom rank as interpreted by the Catalogue of Life download svg Interactions on the taxonomic family rank as interpreted by the Catalogue of Life. download svg You can download the indexed dataset under review at indexed-interactions.csv.gz. A tab-separated file can be found at indexed-interactions.tsv.gz Geospatial Distribution If geospatial information was extracted from the dataset under review, the map below will show their distribution. Hexagonal grid cells indicate that interactions claims are available for selected geospatial area: light yellow means relatively fewer claims, dark green relatively more claims. Associated data can be found in the geopackage files at indexed-interactions.gpkg for point data and indexed-interactions-h3.gpkg for data clustered in geospatial h3 hexagonals. 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. 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. Sample of Name Alignments providedName relationName resolvedCatalogName resolvedName Jupunba trapezifolia micradenia NONE col Jupunba trapezifolia micradenia Pipile jacutinga HAS_ACCEPTED_NAME col Pipile jacutinga null NONE col null Abuta fluminum HAS_ACCEPTED_NAME col Abuta fluminum 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 100 col family 13 col genus 311 col section 1 col species 2984 col subgenus 2 col subspecies 19 col variety 3 discoverlife NA 3408 discoverlife species 2 gbif NA 51 gbif family 13 gbif genus 312 gbif species 3015 gbif subspecies 33 gbif variety 14 itis NA 1999 itis family 13 itis genus 228 itis species 1164 itis subspecies 6 mdd NA 3410 ncbi NA 571 ncbi family 13 ncbi genus 312 ncbi species 2510 ncbi subspecies 4 pbdb NA 3036 pbdb family 13 pbdb genus 137 pbdb species 224 tpt NA 2732 tpt genus 21 tpt species 657 wfo NA 798 wfo family 13 wfo genus 292 wfo species 2307 wfo subspecies 5 worms NA 3155 worms family 11 worms genus 98 worms species 146 worms subspecies 2 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 resolvedCatalogName relationName count col NONE 213 col HAS_ACCEPTED_NAME 3676 col SYNONYM_OF 433 discoverlife NONE 3970 discoverlife SYNONYM_OF 2 gbif HAS_ACCEPTED_NAME 4018 gbif SYNONYM_OF 928 gbif NONE 160 itis NONE 2348 itis HAS_ACCEPTED_NAME 1579 itis SYNONYM_OF 101 mdd NONE 3755 mdd HAS_ACCEPTED_NAME 215 mdd SYNONYM_OF 2 ncbi NONE 722 ncbi SAME_AS 3201 ncbi SYNONYM_OF 67 pbdb NONE 3552 pbdb HAS_ACCEPTED_NAME 415 pbdb SYNONYM_OF 16 tpt NONE 3223 tpt HAS_ACCEPTED_NAME 746 tpt SYNONYM_OF 3 wfo NONE 987 wfo HAS_ACCEPTED_NAME 2994 wfo SYNONYM_OF 168 wfo HAS_UNCHECKED_NAME 50 worms NONE 3687 worms HAS_ACCEPTED_NAME 283 worms SYNONYM_OF 24 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) 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. First few lines in the review notes. reviewDate reviewCommentType reviewComment 2026-01-29T02:15:31Z note found invalid location: [invalid (latitude, longitude) = (Several localities,Several localities)] 2026-01-29T02:15:31Z note found invalid location: [invalid (latitude, longitude) = (Several localities,Several localities)] 2026-01-29T02:15:31Z note found invalid location: [invalid (latitude, longitude) = (Several localities,Several localities)] 2026-01-29T02:15:31Z note found invalid location: [invalid (latitude, longitude) = (Several localities,Several localities)] In addition, you can find the most frequently occurring notes in the table below. Most frequently occurring review notes, if any. reviewComment count source taxon name missing 3656 found invalid location: [invalid (latitude, longitude) = (Several localities,Several localities)] 2915 found invalid location: [invalid (latitude, longitude) = (NA,NA)] 1191 target taxon name missing 838 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. Picture of a GloBI Review Badge 3 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. 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. 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 5 for 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-ness6 and 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 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/zenodo.14662206. ICZN. 1999. "International Code of Zoological Nomenclature." The International Trust for Zoological Nomenclature, London, UK. https://www.iczn.org/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 Species-Interaction 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.10647565. 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. Note that you have to first get the data (e.g., via elton pull globalbioticinteractions/neofrugivory) before being able to generate reviews (e.g., elton review globalbioticinteractions/neofrugivory), extract interaction claims (e.g., elton interactions globalbioticinteractions/neofrugivory), or list taxonomic names (e.g., elton names globalbioticinteractions/neofrugivory)↩︎ Disclaimer: 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.↩︎ Up-to-date status of the GloBI Review Badge can be retrieved from the GloBI Review Depot↩︎ Up-to-date status of the GloBI Index Badge can be retrieved from GloBI's API↩︎ At time of writing (2026-01-29) the version of the GloBI dataset index was available at https://globalbioticinteractions.org/datasets↩︎ According to http://opendefinition.org/: "Open data is data that can be freely used, re-used and redistributed by anyone - subject only, at most, to the requirement to attribute and sharealike."↩︎

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/neofrugivory, has fingerprint hash://md5/3075844949dca296b8a7b5c2233be912, is 2.45MiB in size and contains 14,808 interactions with 1 unique type of association (e.g., eats) between 748 primary taxa (e.g., Tapirus_terrestris) and 2,663 associated taxa (e.g., ). 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.