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
JoseBSL/EuPPollNet, has fingerprint
hash://md5/346321bf93ff80852d25f24efaafb18d, is 279MiB in size and
contains 623,476 interaction with 1 unique type of association (e.g.,
pollinatedBy) between 1,543 primary taxon (e.g., Helianthus annuus) and
2,668 associated taxon (e.g., Apis mellifera). 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catalogs, and an archived version of the dataset from which the reviews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.
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:
Lanuza et al. (2025), EuPPollNet: A European Database of
Plant-Pollinator Networks. Global Ecol Biogeogr, 34: e70000.
https://doi.org/10.1111/geb.70000
https://github.com/JoseBSL/EuPPollNet/archive/1f17adc594de4c7e13265346df62e31058698042.zip
2025-07-05T07:57:23.887Z hash://md5/346321bf93ff80852d25f24efaafb18d
For additional metadata related to this dataset, please visit https://github.com/JoseBSL/EuPPollNet
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.
The review process can be described in the form of the script below
1.
# get versioned copy of the dataset (size approx. 279MiB) under review
elton pull JoseBSL/EuPPollNet
# generate review notes
elton review JoseBSL/EuPPollNet\
> review.tsv
# export indexed interaction records
elton interactions JoseBSL/EuPPollNet\
> interactions.tsv
# export names and align them with the Catalogue of Life using Nomer
elton names JoseBSL/EuPPollNet\
| nomer append col\
> name-alignment.tsv
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)
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)
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 JoseBSL/EuPPollNet, has fingerprint
hash://md5/346321bf93ff80852d25f24efaafb18d, is 279MiB in size and
contains 623,476 interaction with 1 unique type of association (e.g.,
pollinatedBy) between 1,543 primary taxon (e.g., Helianthus annuus) and
2,668 associated taxon (e.g., Apis mellifera).
An exhaustive list of indexed interaction claims can be found in
gzipped csv, tsv 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
Urospermum picroides
pollinatedBy
Oedemera flavipes
doi:10.1007/s00442-007-0946-1
Sonchus tenerrimus
pollinatedBy
Rhodanthidium sticticum
doi:10.1007/s00442-007-0946-1
Sonchus tenerrimus
pollinatedBy
Oedemera lurida
doi:10.1007/s00442-007-0946-1
Lavandula stoechas
pollinatedBy
Rhodanthidium sticticum
doi:10.1007/s00442-007-0946-1
Most Frequently Mentioned Interaction Types (up to 20 most
frequent)
interactionTypeName
count
pollinatedBy
623476
Most Frequently Mentioned Primary Taxa (up to 20 most
frequent)
sourceTaxonName
count
Helianthus annuus
352151
Trifolium repens
9881
Trifolium pratense
7178
Brassica oleracea
6067
Centaurea jacea
5699
Cistus crispus
5065
Lotus corniculatus
4607
Daucus carota
4161
Cirsium arvense
4019
Cistus monspeliensis
3939
Knautia arvensis
3862
Melilotus italicus
3629
Calluna vulgaris
3362
Centaurea scabiosa
3212
Ranunculus acris
3137
Achillea millefolium
3037
Lavandula stoechas
2898
Chaerophyllum hirsutum
2782
Thymbra capitata
2702
Most Frequently Mentioned Associate Taxa (up to 20 most
frequent)
targetTaxonName
count
Apis mellifera
406365
Bombus terrestris
21424
Bombus pascuorum
13825
Bombus lapidarius
10049
Sphaerophoria scripta
6570
Episyrphus balteatus
6504
Bombus lucorum
6084
Eristalis tenax
5823
Halictus scabiosae
4047
Bombus soroeensis
3847
Bombus pratorum
3558
Bombus hortorum
3494
Bombus
3411
Anthophora
3368
Bombus wurflenii
2792
Syrphidae
2772
Anthophora plumipes
2589
Thricops beckeri
2257
Brassicogethes aeneus
1876
Most Frequent Interactions between Primary and Associate Taxa
(up to 20 most frequent)
sourceTaxonName
interactionTypeName
targetTaxonName
count
Helianthus annuus
pollinatedBy
Apis mellifera
342329
Helianthus annuus
pollinatedBy
Bombus terrestris
6658
Trifolium repens
pollinatedBy
Apis mellifera
5703
Melilotus italicus
pollinatedBy
Apis mellifera
3629
Cistus crispus
pollinatedBy
Apis mellifera
3366
Brassica oleracea
pollinatedBy
Bombus terrestris
2928
Brassica oleracea
pollinatedBy
Anthophora
2597
Helianthus annuus
pollinatedBy
Halictus scabiosae
2543
Lavandula stoechas
pollinatedBy
Apis mellifera
2257
Thymbra capitata
pollinatedBy
Apis mellifera
2022
Chaerophyllum hirsutum
pollinatedBy
Thricops beckeri
1981
Trifolium pratense
pollinatedBy
Bombus pascuorum
1873
Cirsium arvense
pollinatedBy
Apis mellifera
1655
Tetrapanax papyrifer
pollinatedBy
Apis mellifera
1614
Brassica napus
pollinatedBy
Apis mellifera
1547
Centaurea jacea
pollinatedBy
Apis mellifera
1529
Rubus
pollinatedBy
Apis mellifera
1450
Melilotus albus
pollinatedBy
Apis mellifera
1439
Lotus corniculatus
pollinatedBy
Apis mellifera
1413
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
svgInteractions on the taxonomic family rank
as interpreted by the Catalogue of Life. download
svg
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
Abelia chinensis
HAS_ACCEPTED_NAME
col
Abelia chinensis
Abia fasciata
NONE
col
Abia fasciata
Abia nitens
NONE
col
Abia nitens
Abia sericea
NONE
col
Abia sericea
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
367
col
family
104
col
genus
402
col
order
11
col
species
3314
col
subfamily
2
col
subgenus
7
col
suborder
1
col
subspecies
151
col
superfamily
1
col
tribe
2
col
variety
6
discoverlife
NA
3481
discoverlife
species
727
gbif
NA
25
gbif
family
113
gbif
genus
461
gbif
order
11
gbif
species
3596
gbif
subspecies
191
gbif
variety
10
itis
NA
1829
itis
family
103
itis
genus
348
itis
order
11
itis
species
1892
itis
subfamily
5
itis
suborder
6
itis
subspecies
10
itis
superfamily
1
itis
superorder
1
itis
variety
6
mdd
NA
4208
ncbi
NA
598
ncbi
cohort
1
ncbi
family
106
ncbi
genus
420
ncbi
order
11
ncbi
section
1
ncbi
species
3050
ncbi
subfamily
8
ncbi
subgenus
19
ncbi
suborder
5
ncbi
subspecies
5
ncbi
superfamily
1
ncbi
varietas
1
pbdb
NA
3845
pbdb
family
109
pbdb
genus
200
pbdb
infraclass
1
pbdb
infraorder
1
pbdb
order
12
pbdb
species
26
pbdb
subfamily
7
pbdb
suborder
7
pbdb
superfamily
1
pbdb
unranked clade
1
tpt
NA
4204
tpt
genus
2
tpt
species
2
wfo
NA
2664
wfo
family
1
wfo
genus
147
wfo
species
1390
wfo
subspecies
52
wfo
variety
2
worms
NA
3486
worms
family
83
worms
genus
185
worms
order
10
worms
species
436
worms
suborder
5
worms
subspecies
12
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
3811
col
NONE
367
col
SYNONYM_OF
938
discoverlife
NONE
3483
discoverlife
HAS_ACCEPTED_NAME
697
discoverlife
SYNONYM_OF
183
discoverlife
HOMONYM_OF
47
gbif
HAS_ACCEPTED_NAME
4835
gbif
SYNONYM_OF
1793
gbif
NONE
25
itis
NONE
1829
itis
HAS_ACCEPTED_NAME
2306
itis
SYNONYM_OF
163
mdd
NONE
4211
ncbi
SAME_AS
3566
ncbi
NONE
598
ncbi
SYNONYM_OF
92
pbdb
NONE
3846
pbdb
HAS_ACCEPTED_NAME
372
pbdb
SYNONYM_OF
9
tpt
NONE
4207
tpt
HAS_ACCEPTED_NAME
3
tpt
SYNONYM_OF
1
wfo
SYNONYM_OF
318
wfo
NONE
2664
wfo
HAS_ACCEPTED_NAME
1548
wfo
HAS_UNCHECKED_NAME
273
worms
NONE
3486
worms
HAS_ACCEPTED_NAME
850
worms
SYNONYM_OF
144
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
2025-07-07T16:27:52Z
note
source taxon name missing
2025-07-07T16:27:52Z
note
source taxon name missing
2025-07-07T16:27:52Z
note
source taxon name missing
2025-07-07T16:27:52Z
note
source taxon name missing
In addition, you can find the most frequently occurring notes in the
table below.
Most frequently occurring review notes, if any.
reviewComment
count
found malformed doi [NA]
412951
found malformed doi [Unpublished]
28058
found malformed doi [https://doi.org/10.1111/oik.08902;
https://doi.org/10.1002/ecy.3712]
14526
found malformed doi [https://doi.org/10.1111/oik.07259;
10.1016/j.actao.2020.103551]
5511
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.
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.
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.
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.
Poelen, Jorrit H. (ed.). 2024. “Nomer Corpus of Taxonomic
Resources Hash://Sha256/
B60c0d25a16ae77b24305782017b1a270b79b5d1746f832650 F2027ba536e276
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