Find research datasets worth reusing

opencc-by-4.0Jun 2024View details →

Figure 8 in TaXonomic Catalog of the Brazilian Fauna: Hydraenidae (Insecta: Coleoptera), diversity and distribution

Figure 8. Occupied distributions and suitability areas for Hydraenidae genera: (A) Adelphydraena spp. (n = 10 records); (B) Hydraena spp. (n = 52 records); (C) Ochthebius spp. (n = 25 records); (D) Parhydraenida spp. (n = 33 records). Dots represent specimen records for each genus.

opencc-by-4.0Apr 2004View details →

Fig. 1 in Catalog Of The Dolichopodidae (Diptera) Of America North Of Mexico

Fig. 1. Cumulative number of species described from America north of Mexico between 1758 and February 2004.

opencc-by-4.0Jan 2024View details →

The North Pacific Eukaryotic Gene Catalog: metatranscriptome assemblies with taxonomy, function and abundance annotations

This data continues with the development of the unprocessed NPEGC Trinity de novo metatranscriptome assemblies, uploaded to this Zenodo repository for raw assemblies: <a href="../records/7332796">The North Pacific Eukaryotic Gene Catalog: Raw assemblies from Gradients 1, 2 and 3</a> A full description of this data is published in Scientific Data, available here: <a href="https://www.nature.com/articles/s41597-024-04005-5" target="_blank" rel="noopener">The North Pacific Eukaryotic Gene Catalog of metatranscriptome assemblies and annotations</a>. Please cite this publication if your research uses this data: Groussman, R. D., Coesel, S. N., Durham, B. P., Schatz, M. J., & Armbrust, E. V. (2024). The North Pacific Eukaryotic Gene Catalog of metatranscriptome assemblies and annotations. Scientific Data, 11(1), 1161. Excerpts of key processing steps are sampled below with links to the detailed code on the main github code repository: <a href="https://github.com/armbrustlab/NPac_euk_gene_catalog">https://github.com/armbrustlab/NPac_euk_gene_catalog</a> Processing and annotation of protein-level NPEGC metatranscripts is done in 6 primary steps: 1. Six-frame translation into protein sequences 2. Frame-selection of protein-coding translation frames 3. Clustering of protein sequences at 99% sequence identity 4. Taxonomic annotation against MarFERReT v1.1 + MARMICRODB v1.0 multi-kingdom marine reference protein sequence library with DIAMOND 5. Functional annotation against Pfam 35.0 protein family HMM profiles using HMMER3 6. Functional annotation against KOfam HMM profiles (KEGG release 104.0) using KofamScan v1.3.0 <code># Define local NPEGC base directory here:</code> <code>NPEGC_DIR="/mnt/nfs/projects/armbrust-metat"</code> <code># Raw assemblies are located in the /assemblies/raw/ directory</code> <code># for each of the metatranscriptome projects</code> <code>PROJECT_LIST="D1PA G1PA G2PA G3PA G3PA_diel"</code> <code># raw Trinity assemblies:</code> <code>RAW_ASSEMBLY_DIR="${NPEGC_DIR}/${PROJECT}/assemblies/raw"</code> Translation We began processing the raw metatranscriptome assemblies by six-frame translation from nucleotide transcripts into three forward and three reverse reading frame translations, using the transeq function in the EMBOSS package. We add a cruise and sample prefix to the sequence IDs to ensure unique identification downstream (ex, `>TRINITY_DN2064353_c0_g1_i1_1`  to `>G1PA_S09C1_3um_TRINITY_DN2064353_c0_g1_i1_1` for the S09C1_3um sample in the G1PA assemblies). See <a href="https://github.com/armbrustlab/NPac_euk_gene_catalog/blob/main/scripts/aa_data/NPEGC.6tr_frame_selection_clustering.sh">NPEGC.6tr_frame_selection_clustering.sh</a> for full code description. Example of six-frame translation using transeq <code>transeq -auto -sformat pearson -frame 6 -sequence 6tr/${PREFIX}.Trinity.fasta -outseq 6tr/${PREFIX}.Trinity.6tr.fasta</code> Frame selection We use a custom frame-selection python script <a href="https://github.com/armbrustlab/marferret/blob/main/scripts/python/keep_longest_frame.py">keep_longest_frame.py</a> to determine the longest coding length in each open reading frame and retain this sequence (or multiple sequences if there is a tie) for downstream analyses.  See <a href="https://github.com/armbrustlab/NPac_euk_gene_catalog/blob/main/scripts/aa_data/NPEGC.6tr_frame_selection_clustering.sh">NPEGC.6tr_frame_selection_clustering.sh</a> for full code description. Clustering by sequence identity To reduce sequence redundancy and near-identical sequences, we cluster protein sequences at the 99% sequence identity level and retain the sequence cluster representative in a reduced-size FASTA output file. See <a href="https://github.com/armbrustlab/NPac_euk_gene_catalog/blob/main/scripts/aa_data/NPEGC.6tr_frame_selection_clustering.sh">NPEGC.6tr_frame_selection_clustering.sh</a> for full code description of linclust/mmseqs clustering. Sample of linclust clustering script: core mmseqs function <code>function NPEGC_linclust {</code> <code># make an index of the fasta file:</code> <code>$MMSEQS_DIR/mmseqs createdb $FASTA_PATH/$FASTA_FILE NPac.$STUDY.bf100.db</code> <code># cluster sequences at $MIN_SEQ_ID</code> <code>$MMSEQS_DIR/mmseqs linclust NPac.${STUDY}.bf100.db NPac.${STUDY}.clusters.db NPac_tmp --min-seq-id ${MIN_SEQ_ID}</code> <code># retieve cluster representatives:</code> <code>$MMSEQS_DIR/mmseqs result2repseq NPac.${STUDY}.bf100.db NPac.${STUDY}.clusters.db NPac.${STUDY}.clusters.rep</code> <code># generate flat FASTA output with cluster reps</code> <code>$MMSEQS_DIR/mmseqs result2flat NPac.${STUDY}.bf100.db NPac.${STUDY}.bf100.db NPac.${STUDY}.clusters.rep NPac.${STUDY}.bf100.id99.fasta --use-fasta-header</code> <code>}</code> Corresponding files uploaded to this repository: Gzip-compressed FASTA files after translation, frame-selection, and clustering at 99% sequence identity (.bf100.id99.aa.fasta.gz)     NPac.G1PA.bf100.id99.aa.fasta.gz     NPac.G2PA.bf100.id99.aa.fasta.gz     NPac.G3PA.bf100.id99.aa.fasta.gz     NPac.G3PA_diel.bf100.id99.aa.fasta.gz     NPac.D1PA.bf100.id99.aa.fasta.gz MarFERReT + MARMICRODB taxonomic annotation with DIAMOND Taxonomy was inferred for the NPEGC metatranscripts with the DIAMOND fast read alignment software against the <a href="../records/10586950">MarFERReT v1.1 + MARMICRODB v1.0 multi-kingdom marine reference protein sequence library (v1.1)</a>, a combined database of the <a href="https://doi.org/10.1038/s41597-023-02842-4">MarFERReT v1.1 marine microbial eukaryote sequence library</a> and <a href="https://doi.org/10.5281/zenodo.3520509">MARMICRODB v1.0 </a>prokaryote-focused marine genome database. See <a href="https://github.com/armbrustlab/NPac_euk_gene_catalog/blob/main/scripts/aa_data/NPEGC.diamond_taxonomy.log.sh">NPEGC.diamond_taxonomy.log.sh</a> for full description of DIAMOND annotation. Excerpt of core DIAMOND function: <code>function NPEGC_diamond {</code> <code># FASTA filename for $STUDY</code> <code>FASTER_FASTA="NPac.${STUDY}.bf100.id99.aa.fasta"</code> <code># Output filename for LCA results in lca.tab file:</code> <code>LCA_TAB="NPac.${STUDY}.MarFERReT_v1.1_MMDB.lca.tab"</code> <code>echo "Beginning ${STUDY}"</code> <code>singularity exec --no-home --bind ${DATA_DIR} \</code> <code>        "${CONTAINER_DIR}/diamond.sif" diamond blastp \</code> <code>        -c 4 --threads $N_THREADS \</code> <code>        --db $MFT_MMDB_DMND_DB -e $EVALUE --top 10 -f 102 \</code> <code>        --memory-limit 110 \</code> <code>        --query ${FASTER_FASTA} -o ${LCA_TAB} >> "${STUDY}.MarFERReT_v1.1_MMDB.log" 2>&1</code> <code>}</code> Corresponding files uploaded to this repository: Gzip-compressed diamond lowest common ancestor predictions with NCBI Taxonomy against a combined MarFERReT + MARMICRODB taxonomic library (*.Pfam35.domtblout.tab.gz)     NPac.G1PA.MarFERReT_v1.1_MMDB.lca.tab.gz     NPac.G2PA.MarFERReT_v1.1_MMDB.lca.tab.gz     NPac.G3PA.MarFERReT_v1.1_MMDB.lca.tab.gz     NPac.G3PA_diel.MarFERReT_v1.1_MMDB.lca.tab.gz     NPac.D1PA.MarFERReT_v1.1_MMDB.lca.tab.gz Pfam 35.0 functional annotation using HMMER3 Clustered protein sequences were annotated against the Pfam 35.0 collection of 19,179 protein family Hidden Markov Models (HMMs) using <a href="http://hmmer.org/">HMMER 3.3 </a> with the <a href="https://academic.oup.com/nar/article/49/D1/D412/5943818">Pfam 35.0 protein family database</a>. Pfam annotation code is documented here: <a href="https://github.com/armbrustlab/NPac_euk_gene_catalog/blob/main/scripts/aa_data/NPEGC.hmmer_function.sh">NPEGC.hmmer_function.sh</a> Excerpt of core hmmsearch function: <code>function NPEGC_hmmer {</code> <code># Define input FASTA</code> <code>INPUT_FASTA="NPac.${STUDY}.bf100.id99.aa.fasta"</code> <code># hmmsearch call:</code> <code>hmmsearch --cut_tc --cpu $NCORES --domtblout $ANNOTATION_DIR/${STUDY}.Pfam35.domtblout.tab $HMM_PROFILE ${INPUT_FASTA}</code> <code># compress output file:</code> <code>gzip $ANNOTATION_DIR/${STUDY}.Pfam35.domtblout.tab</code> <code>}</code> Corresponding files uploaded to this repository: Gzip-compressed hmmsearch domain table files for Pfam35 queries (*.Pfam35.domtblout.tab.gz)     G1PA.Pfam35.domtblout.tab.gz     G2PA.Pfam35.domtblout.tab.gz     G3PA.Pfam35.domtblout.tab.gz     G3PA_diel.Pfam35.domtblout.tab.gz     D1PA.Pfam35.domtblout.tab.gz KEGG functional annotation using KofamScan v1.3.0 Clustered protein sequences were annotated against the KEGG collection (release 104.0) of 20,819 protein family Hidden Markov Models (HMMs) using <a href="https://github.com/takaram/kofam_scan" target="_blank" rel="noopener">KofamScan </a>and KofamKOALA. Kofam annotation code is documented here: <a href="https://github.com/armbrustlab/NPac_euk_gene_catalog/blob/main/scripts/aa_data/NPEGC.kofamscan_function.sh">NPEGC.kofamscan_function.sh</a> Excerpt of core NPEGC_kofam function: <code># Core function to perform KofamScan annotation</code> <code>function NPEGC_kofam {</code> <code>    # Define input FASTA</code> <code>    local INPUT_FASTA="NPac.${STUDY}.bf100.id99.aa.fasta"</code> <code>    # KofamScan call</code> <code>    ${KOFAM_DIR}/kofam_scan-1.3.0/exec_annotation -f detail-tsv -E ${EVALUE} -o ${ANNOTATION_DIR}/NPac.${STUDY}.bf100.id99.aa.tsv ${FASTA_DIR}/${INPUT_FASTA}</code> <code>    # Keep best hit (data is already sorted by KofamScan)</code> <code>    sort -uk1,1 ${ANNOTATION_DIR}/NPac.${STUDY}.bf100.id99.aa.tsv > ${ANNOTATION_DIR}/NPac.${STUDY}.bf100.id99.aa.best.kofam.tsv</code> <code>    # Compress output file</code> <code>    gzip ${ANNOTATION_DIR}/NPac.${STUDY}.bf100.id99.aa.tsv</code> <code>    # Compress best.kofam output file</code> <code>    gzip ${ANNOTATION_DIR}/NPac.${STUDY}.bf100.id99.aa.best.kofam.tsv</code> <code>}</code> <code># filter hits with a score > 30 in R</code> Corresponding files uploaded to this repository: Gzip-compressed KofamScan domain table files for Kofam queries (*.best.Kofam.incT30.csv.gz):     NPac.G1PA.bf100.id99.aa.best.Kofam.incT30.csv.gz     NPac.G2PA.bf100.id99.aa.best.Kofam.incT30.csv.gz     NPac.G3PA.UW.bf100.id99.aa.best.Kofam.incT30.csv.gz     NPac.G3PA.diel.bf100.id99.aa.best.kofam.incT30.csv.gz     NPac.D1PA.diel.bf100.id99.aa.best.kofam.incT30.csv.gz The full kofamscan tables with score >30 are deposited here: <a title="The North Pacific Eukaryotic Gene Catalog: KOfam protein function annotations" href="../records/13743267" target="_blank" rel="noopener">https://zenodo.org/records/13743267</a>

opencc-by-4.0Aug 2024View details →

APOGEE-Kepler Catalog SDSS Internal Version

This represents the publication of the SDSS internal version of the APOGEE-Kepler Catalog (v.7.4.0, August 2024), previous versions of which have been available to SDSS-IV collaboration members on the internal wiki page https://trac.sdss.org/wiki/APOGEE2/APOKASC/Catalog and have been used for a variety of projects. It has been designed to include all stars in the Kepler field which had APOGEE spectra at the end of SDSS-IV (DR17) and as such is not limited to giants or seismic oscillators. For giant oscillators, this catalog contains a subset of the information available in all of the tables available with the journal edition of the APOKASC-3 catalog (Pinsonneault et al., 2024), as well as some additional information including matches to external datasets that may be of interest. This table also contains some historical information, previous versions of some values, and so forth that were used for comparison and validation. The header_APOKASC_cat_v7.4.0.txt file contains a list of the available columns as well as some descriptions of where the values are from. These values represent effort from a variety of people including those involved in the APOKASC collaboration as well as related individual efforts and anyone using this data is strongly encouraged to cite the original published version. In all cases where the values in this file and the values in the journal disagree, the journal values should be viewed as the correct version of record. The fits and ascii versions of the APOKASC catalog are the same, and both are provided for ease of use.

Figure 2 in The taxonomic catalog of the Brazilian fauna: Dermaptera and Phasmatodea (Insecta), with commentaries on species list, types, authorship and distribution

Figure 2. Data on species authorship of Dermaptera: (A) demography in relation to nationality; (B) ranking of authors who described the highest numbers of earwig species, from first to last: Carlos Moreira in first place; Malcom Burr and Carl August Dohrn tied in second; Alan Brindle in third; Jean Guillaume Audinet-Serville, Alfredo Borelli, Samuel Scudder, Carl Stål, and Henrik Steinmann tied in fourth; Auguste de Bormans, William Kirby, and Joaquim Machado Filho tied in fifth.

Figure 5 in The taxonomic catalog of the Brazilian fauna: Dermaptera and Phasmatodea (Insecta), with commentaries on species list, types, authorship and distribution

Figure 5. Distribution of the publications of Phasmatodea species across time. Time gap* = period of time that had no descriptions of species; species cluster** = high amounts of species described clustered in a short period of time, between time gaps.

Figure 4 in The taxonomic catalog of the Brazilian fauna: Dermaptera and Phasmatodea (Insecta), with commentaries on species list, types, authorship and distribution

Figure 4. Distribution of the publications of Dermaptera species across time. Time gap* = period of time that had no descriptions of species.

Figure 3 in The taxonomic catalog of the Brazilian fauna: Dermaptera and Phasmatodea (Insecta), with commentaries on species list, types, authorship and distribution

Figure 3. Data on species authorship of Phasmatodea: (A) demography in relation to nationality; (B) ranking of authors who described the highest numbers of walking-sticks species, from first to last: Ludwig Redtenbacher, Salvador de Toledo Piza Jr., John O. Westwood, Karl Brunner-von Wattenwyl, and Raphael A. Heleodoro.

Figures 1–2 in Taxonomic Catalog of the Brazilian Fauna: Superorder Cladocera (Crustacea: Branchiopoda), taxonomic history, diversity and distribution

Figures 1–2. Number of primary types: (1) Types deposited in collections from the different world regions; (2) Types deposited only in Brazilian collections. (BR) Brazil, (AS) Asia, (EU) Europe, (LA) Latin America except Brazil, (NA) North America, (LD) Lost or not designated, (MNRJ) Museu Nacional do Rio de Janeiro, (INPA) Instituto Nacional de Pesquisas da Amazônia, (MZUSP) Museu de Zoologia da Universidade de São Paulo, (MZUFBA) Museu de Zoologia da Universidade Federal da Bahia, (UFMG) Instituto de Biologia, Universidade Federal de Minas Gerais.

Figures 5–7 in Taxonomic Catalog of the Brazilian Fauna: Superorder Cladocera (Crustacea: Branchiopoda), taxonomic history, diversity and distribution

Figures 5–7. Number of species described or reported to Brazil: (5) Federative Units; (6) Hydrographic Regions; (7) Biomes. (AC) Acre, (AL) Alagoas, (AP) Amapá, (AM) Amazonas, (BA) Bahia, (CE) Ceará, (DF) Federal District, (ES) Espírito Santo, (GO) Goiás, (MA) Maranhão, (MT) Mato Grosso, (MS) Mato Grosso do Sul, (MG) Minas Gerais, (PA) Pará, (PB) Paraíba, (PR) Paraná, (PI) Piauí, (RJ) Rio de Janeiro, (RN) Rio Grande do Norte, (RS) Rio Grande do Sul, (RO) Rondônia, (RR) Roraima, (SC) Santa Catarina, (SP) São Paulo, (SE) Sergipe, (TO) Tocantins.

Figures 3–4 in Taxonomic Catalog of the Brazilian Fauna: Superorder Cladocera (Crustacea: Branchiopoda), taxonomic history, diversity and distribution

Figures 3–4. Species described or reported in Brazil: (3) Species by year of description; (4) Cumulative number of species.

opencc-by-4.0Aug 2024View details →

FAO species catalog: fao_species.tar.gz

https://eol-jira.bibalex.org/browse/DATA-1787http://www.fao.org/fishery/org/fishfinder/3,3/en

opencc-by-4.0Sep 2024View details →

The North Pacific Eukaryotic Gene Catalog: KOfam protein function annotations

KEGG functional annotation using KofamScan v1.3.0 These tables are larger alternative versions to the KOfam tables included in the North Pacific Eukaryotic Gene Catalog protein data repository here: <a href="../records/12630398">https://zenodo.org/records/12630398</a> A full description of this data is published in Scientific Data, available here: <a href="https://www.nature.com/articles/s41597-024-04005-5" target="_blank" rel="noopener">The North Pacific Eukaryotic Gene Catalog of metatranscriptome assemblies and annotations</a>. Please cite this publication if your research uses this data: Groussman, R. D., Coesel, S. N., Durham, B. P., Schatz, M. J., & Armbrust, E. V. (2024). The North Pacific Eukaryotic Gene Catalog of metatranscriptome assemblies and annotations. Scientific Data, 11(1), 1161. Clustered protein sequences were annotated against the KEGG collection (release 104.0) of 20,819 protein family Hidden Markov Models (HMMs) using <a href="https://github.com/takaram/kofam_scan" target="_blank" rel="noopener">KofamScan </a>and KofamKOALA. Kofam annotation code is documented in the project github repository here: <a href="https://github.com/armbrustlab/NPac_euk_gene_catalog/blob/main/scripts/aa_data/NPEGC.kofamscan_function.sh">NPEGC.kofamscan_function.sh</a> Excerpt of core NPEGC_kofam function: <code># Define input FASTA</code> <code>local INPUT_FASTA="NPac.${STUDY}.bf100.id99.aa.fasta"</code> <code># KofamScan call</code> <code>${KOFAM_DIR}/kofam_scan-1.3.0/exec_annotation -f detail-tsv -E ${EVALUE} -o ${ANNOTATION_DIR}/NPac.${STUDY}.bf100.id99.aa.tsv ${FASTA_DIR}/${INPUT_FASTA}</code> Unprocessed annotation results were filtered with a minimum score of 30 to remove low-scoring matches: <code>zcat NPac.NPacID.kofam.tsv.gz | awk -F'\t' '{ gsub(/"/, "", $5); $5 = $5 + 0; if ($5 >= 30) print }' | gzip > NPac.NPacID.UW.bf100.id99.aa.incT30.tsv.gz</code>

opencc-by-4.0Oct 2024View details →

Earthquake Catalogs of the LArge-n Seismic Survey in Oklahoma dataset

This dataset release contains earthquake catalogs created using different association methods for the LArge-n Seismic Survey in Oklahoma dataset. These datasets can be used by researchers to further analyze the earthquakes in the array to better understand their behavior. The association methods applied here are as follows the Guassian Mixture Model Association (GaMMA) (Zhu et al., 2022), PhaseLink (Ross et al., 2019), the Graph Earthquake Neural Interpretation Engine (GENIE) (McBrearty and Beroza, 2023) and Rapid Earthquake Association and Location (REAL) code (Zhang et al., 2019). For detailed information please see the paper that accompanies this dataset (Pennington et al. 2024). Important notes though, the GaMMA dataset has a large number of false events so it should be used with caution. The PhaseLink dataset does not associate S-phase arrivals so the catalog will only include P-wave arrivals. We also include in this dataset the original detected phase arrivals that each of these catalogs were created from to allow any user to test and apply new methods to and later compare to our results.

Linked collectors and determiners for: Catalog of the types of Coleoptera (Insecta) deposited at Museo de Historia Natural de la Universidad Nacional Mayor de San Marcos (MUSM), Lima, Peru.

Natural history specimen data linked to collectors and determiners held within, "Catalog of the types of Coleoptera (Insecta) deposited at Museo de Historia Natural de la Universidad Nacional Mayor de San Marcos (MUSM), Lima, Peru". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/b798d46c-a7bf-4984-ba4b-49c1a2504fe5">https://bionomia.net/dataset/b798d46c-a7bf-4984-ba4b-49c1a2504fe5</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/b798d46c-a7bf-4984-ba4b-49c1a2504fe5">https://gbif.org/dataset/b798d46c-a7bf-4984-ba4b-49c1a2504fe5</a>. Formatted as a Frictionless Data package.

Linked collectors and determiners for: Annotated catalog of the type specimens deposited at the fish collection of the " Universidade Estadual Paulista, Câmpus de São José do Rio Preto ", São Paulo, Brazil (DZSJRP).

Natural history specimen data linked to collectors and determiners held within, "Annotated catalog of the type specimens deposited at the fish collection of the " Universidade Estadual Paulista, Câmpus de São José do Rio Preto ", São Paulo, Brazil (DZSJRP)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/47a74a3f-6d90-4895-a6b4-cd2cbb6ea4e3">https://bionomia.net/dataset/47a74a3f-6d90-4895-a6b4-cd2cbb6ea4e3</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/47a74a3f-6d90-4895-a6b4-cd2cbb6ea4e3">https://gbif.org/dataset/47a74a3f-6d90-4895-a6b4-cd2cbb6ea4e3</a>. Formatted as a Frictionless Data package.

Linked collectors and determiners for: Illustrated and online catalog of type specimens of freshwater fishes in the Colección de Peces Dulceacuícolas of Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-P), Colombia.

Natural history specimen data linked to collectors and determiners held within, "Illustrated and online catalog of type specimens of freshwater fishes in the Colección de Peces Dulceacuícolas of Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-P), Colombia". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/30c6dfb2-aa6a-493e-89cb-68bb6a297f67">https://bionomia.net/dataset/30c6dfb2-aa6a-493e-89cb-68bb6a297f67</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/30c6dfb2-aa6a-493e-89cb-68bb6a297f67">https://gbif.org/dataset/30c6dfb2-aa6a-493e-89cb-68bb6a297f67</a>. Formatted as a Frictionless Data package.

Linked collectors and determiners for: Historical review, catalog of type specimens and online database of the ichthyology collection of the Instituto de Ciencias Naturales of the Universidad Nacional de Colombia (ICN-MHN).

Natural history specimen data linked to collectors and determiners held within, "Historical review, catalog of type specimens and online database of the ichthyology collection of the Instituto de Ciencias Naturales of the Universidad Nacional de Colombia (ICN-MHN)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/264fca2e-af6c-427c-8edd-853280f9b607">https://bionomia.net/dataset/264fca2e-af6c-427c-8edd-853280f9b607</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/264fca2e-af6c-427c-8edd-853280f9b607">https://gbif.org/dataset/264fca2e-af6c-427c-8edd-853280f9b607</a>. Formatted as a Frictionless Data package.

Linked collectors and determiners for: Retrocitomyia Lopes, 1982 (Diptera: Sarcophagidae): new species, new records, key to males, and an updated catalog.

Natural history specimen data linked to collectors and determiners held within, "Retrocitomyia Lopes, 1982 (Diptera: Sarcophagidae): new species, new records, key to males, and an updated catalog". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/140c6f11-a74e-4d91-8efd-d9c3e40b6f6c">https://bionomia.net/dataset/140c6f11-a74e-4d91-8efd-d9c3e40b6f6c</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/140c6f11-a74e-4d91-8efd-d9c3e40b6f6c">https://gbif.org/dataset/140c6f11-a74e-4d91-8efd-d9c3e40b6f6c</a>. Formatted as a Frictionless Data package.

Linked collectors and determiners for: A photographic catalog of Ceraphronoidea types at the Muséum national d'Histoire naturelle, Paris (MNHN), with comments on unpublished notes from Paul Dessart.

Natural history specimen data linked to collectors and determiners held within, "A photographic catalog of Ceraphronoidea types at the Muséum national d'Histoire naturelle, Paris (MNHN), with comments on unpublished notes from Paul Dessart". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/0ff4f2ea-dc22-4d23-aa8d-12be8542e9aa">https://bionomia.net/dataset/0ff4f2ea-dc22-4d23-aa8d-12be8542e9aa</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/0ff4f2ea-dc22-4d23-aa8d-12be8542e9aa">https://gbif.org/dataset/0ff4f2ea-dc22-4d23-aa8d-12be8542e9aa</a>. Formatted as a Frictionless Data package.