cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.sp42yd
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Lipomyces tetrasporus Krassiln., Babeva & Meavahd ex Nieuwdorp, P.Bos & Slooff"
 ]
}

 The dataset includes 111 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003176-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xdzrtx
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is South America",
 "Country is Ecuador",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-78.46032 -1.92979,-78.95878 -1.92021,-79.33263 -2.11181,-79.50518 -2.39917,-79.47642 -2.87795,-79.47642 -3.31826,-79.34222 -3.69141,-79.03547 -3.73924,-78.74789 -3.47136,-78.44115 -3.05027,-78.11522 -2.81093,-78.05771 -2.44705,-78.21108 -2.01602,-78.46032 -1.92979))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, VU, NT)",
 "TaxonKey is Animalia",
 "Year 2010-2025"
 ]
}

 The dataset includes 140 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003175-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25625/uw5rpl/a2g7zb
title: pdb_trace_mtNov_at61_mt1.pdb

description: :unav
DOI: 10.25625/uw5rpl/anehqb
title: map_mtNov_at82_mt3.mrc

description: :unav
DOI: 10.25625/uw5rpl/besyp5
title: pdb_trace_mtNov_at82_mt3.pdb

description: :unav
DOI: 10.25625/uw5rpl/eymx4g
title: map_mtNov_at60_mt1-1.mrc

description: :unav
DOI: 10.25625/uw5rpl/hy8zrx
title: pdb_trace_mtNov_at72_mt1.pdb

description: :unav
DOI: 10.25625/uw5rpl/k66dxk
title: map_mtNov_at63_mt2.mrc

description: :unav
DOI: 10.25625/uw5rpl/kzmw9e
title: pdb_trace_mtNov_at70_mt2.pdb

description: :unav
DOI: 10.25625/uw5rpl/lbsliy
title: pdb_trace_mtNov_at70_mt1.pdb

description: :unav
DOI: 10.25625/uw5rpl/vdh0rm
title: map_mtNov_at66_mt2.mrc

description: :unav
DOI: 10.25625/uw5rpl/w5vcge
title: pdb_trace_mtNov_at63_mt2.pdb

description: :unav
DOI: 10.25625/uw5rpl/xhvzcu
title: pdb_trace_mtNov_at60_mt6.pdb

description: :unav
DOI: 10.25625/uw5rpl/y0bif2
title: pdb_trace_mtNov_at60_mt2-1.pdb

description: :unav
DOI: 10.25625/uw5rpl/zaj3bd
title: pdb_trace_mtNov_at73_mt3.pdb

description: :unav
DOI: 10.25625/uw5rpl/4mpltc
title: pdb_trace_mtNov_at59_mt1-2.pdb

description: :unav
DOI: 10.25625/uw5rpl/4qqoyx
title: map_mtNov_at60_mt6.mrc

description: :unav
DOI: 10.25625/uw5rpl/54mywb
title: map_mtNov_at63_mt1.mrc

description: :unav
DOI: 10.25625/uw5rpl/6bqtd5
title: map_mtNov_at70_mt1.mrc

description: :unav
DOI: 10.25625/uw5rpl/8thx5f
title: pdb_trace_mtNov_at73_mt4.pdb

description: :unav
DOI: 10.25625/uw5rpl/alriri
title: map_mtNov_at73_mt3.mrc

description: :unav
DOI: 10.25625/uw5rpl/btosed
title: pdb_trace_mtNov_at61_mt4.pdb

description: :unav
DOI: 10.25625/uw5rpl/c5khxb
title: pdb_trace_mtNov_at66_mt2.pdb

description: :unav
DOI: 10.25625/uw5rpl/crzybv
title: map_mtNov_at82_mt2.mrc

description: :unav
DOI: 10.25625/uw5rpl/dm8gze
title: map_mtNov_at61_mt3.mrc

description: :unav
DOI: 10.25625/uw5rpl/egytpl
title: pdb_trace_mtNov_at82_mt2.pdb

description: :unav
DOI: 10.25625/uw5rpl/gndx6w
title: map_mtNov_at75_mt1.mrc

description: :unav
DOI: 10.25625/uw5rpl/idrvj1
title: map_mtNov_at79_mt1.mrc

description: :unav
DOI: 10.25625/uw5rpl/jxdmko
title: map_mtNov_at70_mt2.mrc

description: :unav
DOI: 10.25625/uw5rpl/l8wbzd
title: map_mtNov_at67_mt2.mrc

description: :unav
DOI: 10.25625/uw5rpl/nltvib
title: pdb_trace_mtNov_at75_mt1.pdb

description: :unav
DOI: 10.25625/uw5rpl/ozu9rb
title: map_mtNov_at59_mt1-2.mrc

description: :unav
DOI: 10.25625/uw5rpl/qhybvw
title: map_mtNov_at62_mt3.mrc

description: :unav
DOI: 10.25625/uw5rpl/rfr9t5
title: pdb_trace_mtNov_at62_mt3.pdb

description: :unav
DOI: 10.25625/uw5rpl/ske5ml
title: map_mtNov_at62_mt1.mrc

description: :unav
DOI: 10.25625/uw5rpl/tgzcgs
title: pdb_trace_mtNov_at80_mt1.pdb

description: :unav
DOI: 10.25625/uw5rpl/uvsajm
title: pdb_trace_mtNov_at67_mt2.pdb

description: :unav
DOI: 10.25625/uw5rpl/viufat
title: pdb_trace_mtNov_at79_mt1.pdb

description: :unav
DOI: 10.25625/uw5rpl/wiydiq
title: map_mtNov_at72_mt1.mrc

description: :unav
DOI: 10.25625/uw5rpl/wwxcxo
title: map_mtNov_at60_mt2-1.mrc

description: :unav
DOI: 10.25625/uw5rpl/wxsdap
title: pdb_trace_mtNov_at62_mt1.pdb

description: :unav
DOI: 10.25625/uw5rpl/ymzul6
title: map_mtNov_at80_mt1.mrc

description: :unav
DOI: 10.25625/uw5rpl/yolf1x
title: map_mtNov_at61_mt4.mrc

description: :unav
DOI: 10.25625/uw5rpl/zq5noc
title: map_mtNov_at62_mt4.mrc

description: :unav
DOI: 10.25625/uw5rpl/zqia3c
title: pdb_trace_mtNov_at63_mt1.pdb

description: :unav
DOI: 10.25625/uw5rpl/zsryck
title: map_mtNov_at73_mt4.mrc

description: :unav
DOI: 10.5281/zenodo.14834567
title: Hydroacoustic catalogs along the Central Indian Ridge

description: We present the hydroacoustic event catalogs associated with seven seismic swarms in 2013 and 2020 along the Central Indian Ridge. These swarms are recorded by a network of 6 to 8 autonomous underwater hydrophones of OHASISBIO network and three permanent hydroacoustic stations maintained by International Monitoring System of Comprehensive Nulcear Test-Ban-Treaty organization. Out of four swarms, two swarms occur near the Kairei hydrothermal field, one along the CIR segment at 21°S and the last near the Edmond hydrothermal field.

The file description is given in the Data_description_CIR.docx
DOI: 10.25625/uw5rpl
title: growing_2020-Nov

description: Densities and traces of growing microtubule ends imaged in November 2020
DOI: 10.25625/uw5rpl/2gjzxm
title: pdb_trace_mtNov_at62_mt4.pdb

description: :unav
DOI: 10.25625/uw5rpl/fqnb9z
title: map_mtNov_at61_mt1.mrc

description: :unav
DOI: 10.25625/uw5rpl/mps99t
title: scope_info.txt

description: :unav
DOI: 10.25625/uw5rpl/pvg0ga
title: pdb_trace_mtNov_at61_mt3.pdb

description: :unav
DOI: 10.25625/uw5rpl/rsiiug
title: pdb_trace_mtNov_at60_mt1-1.pdb

description: :unav
DOI: 10.15468/dl.n8tr7n
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((12.62422 50.75187,13.06482 50.75187,13.06482 51.10176,12.62422 51.10176,12.62422 50.75187))",
 "OccurrenceStatus is Present",
 "TaxonKey is Salmo salar Linnaeus, 1758"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003177-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.28zja7
title: Occurrence Download

description: A dataset containing 68840 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coeligena torquata (Boissonneau, 1840)"
 ]
}

 The dataset includes 68840 records from 184 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003178-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14678317
title: UniProtCC - ProtBFN Training Data

description: The UniProtCC dataset is a a (C)leaned and (C)lustered subset of the January 2024 release of UniProt.

It is constructed by taking all entries UniProtKB with length <512 and then filtering according to the "protein existence" property, specifically only allowing entries where the protein existence level is one of:



Experimental evidence at protein level

Experimental evidence at transcript level

Protein inferred from homology


UniProtCC therefore contains no UniProtKB entries where the protein is either hypothetical or is of uncertain origin. UniProtCC comes equipped with a clustering; specifically, the UniRef50 clustering assignements, also from the January 2024 release of UniProt. In the original work describing this dataset, protein sequence modelling with bayesian flow networks, these cluster assignments were used to reweight the training of a generative model, and debias it away from the most studied proteins within UniProtKB. 

This dataset contains two csv files:



uniprot_cc_511.csv. This file contains the UniProtCC dataset, and is approximately 22.7GB and contains 72,369,921 rows. Each row consists of:



uniprot_id (string). The unique uniprot ID of the entry.

amino_acids (string). The amino acid sequence of the entry.

uniref50_cluster_id (string). The unique identifier of the UniRef50 cluster with which the entry is associated.



uniprot_cc_511_cluster_sizes.csv. This file contains metadata about the UniRef50 cluster sizes, and is approximately 139MB and contains 6,460,005 rows. Each row consists of:



uniref50_cluster_id (string). The unique identifier of a UniRef50 cluster.

seq_count (integer). The number of entries within uniprot_cc_511.csv that are associated with this cluster. Summing seq_count across all rows in this CSV gives a total of 72,369,921 e.g. the total number of entries in uniprot_cc_511.csv.
DOI: 10.5281/zenodo.14827712
title: Data regarding the manuscript: Room-temperature ferroelectric switching of spin-to-charge conversion in germanium telluride
DOI: 10.5281/zenodo.14827713
title: Data regarding the manuscript: Room-temperature ferroelectric switching of spin-to-charge conversion in germanium telluride
DOI: 10.15468/dl.cp2t28
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Fusarium falciforme (Carrión) Summerb. & Schroers"
 ]
}

 The dataset includes 29 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003180-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hm5f3y
title: Occurrence Download

description: A dataset containing 864395 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "GbifRegion is Latin America and the Caribbean",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 864395 records from 421 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003164-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vnjqm5
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Material citation, Specimen)",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cyclopes didactylus (Linnaeus, 1758)"
 ]
}

 The dataset includes 68 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003181-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dd.z52uq7
title: Anolis distichus GBIF download (5 October 2023)

description: Using the R package "spocc" I downloaded occurrence records for subspecies of the bark anole (*Anolis distichus*) found on Hispaniola from GBIF. Below is the command used:

 ad &lt;- spocc::occ(query = c("Anolis distichus", "Anolis dominicensis",
 "Anolis ignigularis", "Anolis properus", "Anolis favillarum",
 "Anolis ravitergum", "Anolis vinosus", "Anolis aurifer", "Anolis suppar"),
 from = c("vertnet", "gbif", "inat"), limit = 100000)
DOI: 10.5281/zenodo.14780445
title: Structure-Based Deep Learning Framework for Modeling Human-Gut Bacterial Protein Interactions

description: Paper Abstract 

The interaction network between the human host proteins and the proteins of the gut bacteria is essential for the establishment of human health and its dysregulation directly contributes to dis-ease development. Despite its great importance, experimental data on protein-protein interactions (PPIs) between these species are sparse due to experimental limitations. This study presents a deep learning-based framework for predicting PPIs between human and gut bacterial proteins using structural data. The framework leverages graph-based protein representations and variational autoencoders (VAE) to extract structural embeddings from protein graphs, which are then fused through a Bi-directional Cross Attention module to predict interactions. The model addresses common challenges in PPI datasets, such as class imbalance, using focal loss to emphasize hard-er-to-classify samples. The results demonstrated that this framework exhibits robust performance, with high precision and recall across validation and test datasets, underscoring its generalizabil-ity. By incorporating proteoforms in the analysis, the model accounts for the structural complexity within proteomes, making predictions biologically relevant. These findings offer a scalable tool for investigating the interactions between the host and the gut microbiota, potentially yielding new treatment targets and diagnostics for disorders linked to the microbiome. The code for this paper is available in the following Github repository: https://github.com/c3biolab/struct_ppi_pred
description: Supplementary materials for the following paper:

Kiouri, D.P.; Batsis, G.C.; Chasapis, C.T. Structure-Based Deep Learning Framework for Modeling Human–Gut Bacterial Protein Interactions. Proteomes 2025, 13(1), 10; https://doi.org/10.3390/proteomes13010010
DOI: 10.5281/zenodo.14780446
title: Structure-Based Deep Learning Framework for Modeling Human-Gut Bacterial Protein Interactions

description: Paper Abstract 

The interaction network between the human host proteins and the proteins of the gut bacteria is essential for the establishment of human health and its dysregulation directly contributes to dis-ease development. Despite its great importance, experimental data on protein-protein interactions (PPIs) between these species are sparse due to experimental limitations. This study presents a deep learning-based framework for predicting PPIs between human and gut bacterial proteins using structural data. The framework leverages graph-based protein representations and variational autoencoders (VAE) to extract structural embeddings from protein graphs, which are then fused through a Bi-directional Cross Attention module to predict interactions. The model addresses common challenges in PPI datasets, such as class imbalance, using focal loss to emphasize hard-er-to-classify samples. The results demonstrated that this framework exhibits robust performance, with high precision and recall across validation and test datasets, underscoring its generalizabil-ity. By incorporating proteoforms in the analysis, the model accounts for the structural complexity within proteomes, making predictions biologically relevant. These findings offer a scalable tool for investigating the interactions between the host and the gut microbiota, potentially yielding new treatment targets and diagnostics for disorders linked to the microbiome. The code for this paper is available in the following Github repository: https://github.com/c3biolab/struct_ppi_pred
description: Supplementary materials for the following paper:

Kiouri, D.P.; Batsis, G.C.; Chasapis, C.T. Structure-Based Deep Learning Framework for Modeling Human–Gut Bacterial Protein Interactions. Proteomes 2025, 13(1), 10; https://doi.org/10.3390/proteomes13010010
DOI: 10.15468/dl.s5hrpb
title: Occurrence Download

description: A dataset containing 15623 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is South America",
 "Country is Ecuador",
 "DatasetKey is iNaturalist Research-grade Observations",
 "IucnRedListCategory is one of (CR, VU, NT)",
 "TaxonKey is Animalia",
 "Year 2010-2025"
 ]
}

 The dataset includes 15623 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003182-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dzu7uj
title: Occurrence Download

description: A dataset containing 15824 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "TaxonKey is Metrioptera brachyptera (Linnaeus, 1761)"
 ]
}

 The dataset includes 15824 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003183-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hhh5zg
title: Occurrence Download

description: A dataset containing 24323 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pachycephala simplex Gould, 1843"
 ]
}

 The dataset includes 24323 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003184-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/67dx-sqw4-mj0a
title: GMAO GEOS-5 Forecast Products Imagery - CO 900-500hpa NZCH-NZCH. Version 1.0

description: This dataset contains CO 900-500hpa NZCH-NZCH GMAO GEOS-5 forecast imagery taken during the HIPPO project. The data is in PNG format. The data covers the time span from 2009-01-18 12:00:00 to 2009-01-18 12:00:00.
DOI: 10.26023/1fnd-ce3x-dc14
title: GMAO GEOS-5 Forecast Products Imagery - CO 900-500hpa PHNL-NSTU. Version 1.0

description: This dataset contains CO 900-500hpa PHNL-NSTU GMAO GEOS-5 forecast imagery taken during the HIPPO project. The data is in PNG format. The data covers the time span from 2009-01-15 00:00:00 to 2009-01-15 00:00:00.
DOI: 10.15468/dl.krmssu
title: Occurrence Download

description: A dataset containing 299 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Fenestra ensicorne"
 ]
}

 The dataset includes 299 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041345-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.44b49z
title: Occurrence Download

description: A dataset containing 940 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vespidae",
 "Year is 1984",
 "Continent is Europe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 940 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041344-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wnxpe4
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crataegus flabellata",
 "Country is Latvia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 54 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041348-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p2qjh3
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crataegus flabellata",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 22 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041347-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/rx74-p3wm-7q0p
title: GMAO GEOS-5 Forecast Products Imagery - CO VP 500hpa LAT20-90. Version 1.0

description: This dataset contains CO VP 500hpa LAT20-90 GMAO GEOS-5 forecast imagery taken during the HIPPO project. The data is in PNG format. The data covers the time span from 2009-01-08 12:00:00 to 2009-01-08 12:00:00.
DOI: 10.15468/dl.n2d99h
title: Occurrence Download

description: A dataset containing 5175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-122.74823 58.76978,-122.75187 58.7574,-122.75215 58.74406,-122.75145 58.73642,-122.75048 58.72419,-122.74687 58.71016,-122.74159 58.69696,-122.72792 58.68216,-122.70866 58.67395,-122.69199 58.67254,-122.68102 58.67399,-122.66439 58.67852,-122.64045 58.68958,-122.62494 58.69864,-122.6075 58.72724,-122.60122 58.75293,-122.60018 58.76147,-122.6018 58.77175,-122.60896 58.78682,-122.62207 58.81077,-122.63528 58.81832,-122.6768 58.82473,-122.70095 58.81945,-122.72246 58.80851,-122.7402 58.78171,-122.74823 58.76978))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5175 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041349-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tkze3w
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crataegus flabellata",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041346-250920141307145/datasets/export for details.
DOI: 10.13140/2.1.2819.9369
title: Supplementary Information concerning "Spin-Noise-Detected Two-Dimensional Fourier-Transform NMR Spectroscopy"
DOI: 10.26023/rm1k-4dz8-c10w
title: GMAO GEOS-5 Forecast Products Imagery - CO VP TCOL. Version 1.0

description: This dataset contains CO VP TCOL GMAO GEOS-5 forecast imagery taken during the HIPPO project. The data is in PNG format. The data covers the time span from 2008-01-05 12:00:00 to 2009-01-05 12:00:00.
DOI: 10.15468/dl.52p5px
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (USA.7_1, USA.22_1, USA.20_1, USA.30_1, USA.33_1, USA.40_1, USA.46_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Callophrys hesseli"
 ]
}

 The dataset includes 56 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041350-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xhwxqq
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pyrolirion albicans"
 ]
}

 The dataset includes 37 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041351-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cuar2b
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vespidae",
 "Year is 1984",
 "Continent is North America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 93 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041354-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.