cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2022-01.2419852/2356317
title: Data for EMSL Project 50018 from January 2022
DOI: 10.15468/dl.kh4dr8
title: Occurrence Download

description: A dataset containing 63823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eupithecia pulchellata Stephens, 1831)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 63823 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036808-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2022-01.2419839/2356318
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419860/2356319
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2420529/2356320
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419798/2356321
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419785/2356322
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419775/2356323
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2420488/2356324
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2420533/2356325
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419789/2356326
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2420528/2356327
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419745/2356328
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-02.2439155/2356329
title: Data for EMSL Project 50018 from February 2022
DOI: 10.25582/data.2022-02.2439118/2356330
title: Data for EMSL Project 50018 from February 2022
DOI: 10.6084/m9.figshare.25143699.v1
title: Primer pairs, PCR conditions, and peptide nucleic acid clamps affect fungal diversity assessment from plant root tissues

description: High-throughput sequencing has become a prominent tool to assess plant-associated microbial diversity. Still, some technical challenges remain in characterising these communities, notably due to plant and fungal DNA co-amplification. Fungal-specific primers, Peptide Nucleic Acid (PNA) clamps, or adjusting PCR conditions are approaches to limit plant DNA contamination. However, a systematic comparison of these factors and their interactions, which could limit plant DNA contamination in the study of plant mycobiota, is still lacking. Here, three primers targeting the ITS2 region were evaluated alone or in combination with PNA clamps both on nettle (<i>Urtica dioica</i>) root DNA and a mock community. PNA clamps did not improve the richness or diversity of the fungal communities but increased the number of fungal reads. Among the tested factors, the most significant was the primer pair. Specifically, the 5.8S-Fun/ITS4-Fun pair exhibited a higher OTU richness but fewer fungal reads. Our study demonstrates that the choice of primers is critical for limiting plant and fungal DNA co-amplification. PNA clamps increase the number of fungal reads when ITS2 is targeted but do not result in higher fungal diversity recovery at high sequencing depth. At lower read depths, PNA clamps might enhance microbial diversity quantification for primer pairs lacking fungal specificity.
DOI: 10.6084/m9.figshare.25143699
title: Primer pairs, PCR conditions, and peptide nucleic acid clamps affect fungal diversity assessment from plant root tissues

description: High-throughput sequencing has become a prominent tool to assess plant-associated microbial diversity. Still, some technical challenges remain in characterising these communities, notably due to plant and fungal DNA co-amplification. Fungal-specific primers, Peptide Nucleic Acid (PNA) clamps, or adjusting PCR conditions are approaches to limit plant DNA contamination. However, a systematic comparison of these factors and their interactions, which could limit plant DNA contamination in the study of plant mycobiota, is still lacking. Here, three primers targeting the ITS2 region were evaluated alone or in combination with PNA clamps both on nettle (<i>Urtica dioica</i>) root DNA and a mock community. PNA clamps did not improve the richness or diversity of the fungal communities but increased the number of fungal reads. Among the tested factors, the most significant was the primer pair. Specifically, the 5.8S-Fun/ITS4-Fun pair exhibited a higher OTU richness but fewer fungal reads. Our study demonstrates that the choice of primers is critical for limiting plant and fungal DNA co-amplification. PNA clamps increase the number of fungal reads when ITS2 is targeted but do not result in higher fungal diversity recovery at high sequencing depth. At lower read depths, PNA clamps might enhance microbial diversity quantification for primer pairs lacking fungal specificity.
DOI: 10.25582/data.2022-01.2419812/2356331
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2420501/2356332
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419795/2356333
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419770/2356334
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2420532/2356335
title: Data for EMSL Project 50018 from January 2022
DOI: 10.15468/dl.zfsdem
title: Occurrence Download

description: A dataset containing 837 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pinus wallichiana A.B.Jacks.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 837 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036833-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2022-01.2419765/2356336
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2420554/2356337
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419848/2356338
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2420493/2356339
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419838/2356340
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419744/2356341
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419799/2356342
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419793/2356343
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419831/2356344
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419821/2356345
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419794/2356346
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419771/2356347
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419774/2356348
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-02.2439166/2356349
title: Data for EMSL Project 50018 from February 2022
DOI: 10.25582/data.2022-02.2439212/2356350
title: Data for EMSL Project 50018 from February 2022
DOI: 10.25582/data.2022-02.2439190/2356351
title: Data for EMSL Project 50018 from February 2022
DOI: 10.25582/data.2022-02.2439206/2356352
title: Data for EMSL Project 50018 from February 2022
DOI: 10.25582/data.2022-01.2419861/2356353
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419769/2356354
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419829/2356355
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419760/2356356
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419766/2356357
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2420475/2356358
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419851/2356359
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419847/2356360
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419791/2356361
title: Data for EMSL Project 50018 from January 2022
DOI: 10.5281/zenodo.11267362
title: Elution profiles and protein interaction data accompanying "Ancient eukaryotic protein interactions illuminate modern genetic disorders"

description:  






DESCRIPTION



FILENAME



LOCATION





LECA 10K OG set



leca_ogs_annotated.xlsx



Paper, Table S1

Zenodo





Summary of biological resources



resource_summary.xlsx



Paper, Table S2

Zenodo





LECA interactome (complexes)



leca_ppis_fdr10_clustered_annotated.xlsx



Paper, Table S3

Zenodo





CFMS - ref proteomes



cfms_ref_proteomes.xlsx



Paper, Table S4

Zenodo





ML - top algorithms



tpot_top_algorithms.xlsx



Paper, Table S5

Zenodo





LECA interactome (pairwise)



leca_ppis_fdr10_pairwise.csv



Zenodo





UniProt Subcellular Localization IDs



uniprot_localization_codes.xlsx



Zenodo





Dollo parsimony - ref proteomes



dollo_parsimony_ref_proteomes.xlsx



Zenodo





Dollo parsimony - input trait matrix



dollo_parsimony_count_matrix.tsv



Zenodo





CFMS - raw elution profiles



amorphea_raw_elution_vectors.csv

excavata_raw_elution_vectors.csv

tsar_raw_elution_vectors.csv

archaeplastida_raw_elution_vectors.csv



Zenodo





CFMS - normalized elution profiles



amorphea_norm_elution_vectors.csv

excavata_norm_elution_vectors.csv

tsar_norm_elution_vectors.csv

archaeplastida_norm_elution_vectors.csv



Zenodo





CFMS/APMS - complete feature matrix



feature_matrix.csv



Zenodo





ML - top features



linearsvc_top_100_features.xlsx



Zenodo





OMIM disease propagation, statistics



omim_disease_propagation_stats.xlsx



Zenodo





OMIM disease propagation, top 20 hits per disease



omim_disease_propagation_top20hits_per_disease.xlsx



Zenodo





Curated OMIM gene-disease relationships for LECA OGs



omim_disease_network.tsv



Zenodo



Curated OMIM gene-disease relationships for human UniProt IDs
omim_disease_groups.csv
Zenodo
DOI: 10.5281/zenodo.10961423
title: Elution profiles and protein interaction data accompanying "Ancient eukaryotic protein interactions illuminate modern genetic disorders"

description:  






DESCRIPTION



FILENAME



LOCATION





LECA 10K OG set



leca_ogs_annotated.xlsx



Paper, Table S1

Zenodo





Summary of biological resources



resource_summary.xlsx



Paper, Table S2

Zenodo





LECA interactome (complexes)



leca_ppis_fdr10_clustered_annotated.xlsx



Paper, Table S3

Zenodo





CFMS - ref proteomes



cfms_ref_proteomes.xlsx



Paper, Table S4

Zenodo





ML - top algorithms



tpot_top_algorithms.xlsx



Paper, Table S5

Zenodo





LECA interactome (pairwise)



leca_ppis_fdr10_pairwise.csv



Zenodo





UniProt Subcellular Localization IDs



uniprot_localization_codes.xlsx



Zenodo





Dollo parsimony - ref proteomes



dollo_parsimony_ref_proteomes.xlsx



Zenodo





Dollo parsimony - input trait matrix



dollo_parsimony_count_matrix.tsv



Zenodo





CFMS - raw elution profiles



amorphea_raw_elution_vectors.csv

excavata_raw_elution_vectors.csv

tsar_raw_elution_vectors.csv

archaeplastida_raw_elution_vectors.csv



Zenodo





CFMS - normalized elution profiles



amorphea_norm_elution_vectors.csv

excavata_norm_elution_vectors.csv

tsar_norm_elution_vectors.csv

archaeplastida_norm_elution_vectors.csv



Zenodo





CFMS/APMS - complete feature matrix



feature_matrix.csv



Zenodo





ML - top features



linearsvc_top_100_features.xlsx



Zenodo





OMIM disease propagation, statistics



omim_disease_propagation_stats.xlsx



Zenodo





OMIM disease propagation, top 20 hits per disease



omim_disease_propagation_top20hits_per_disease.xlsx



Zenodo





Curated OMIM gene-disease relationships for LECA OGs



omim_disease_network.tsv



Zenodo
DOI: 10.25582/data.2022-01.2419759/2356362
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419830/2356363
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419767/2356364
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419753/2356365
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2420520/2356366
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2420490/2356367
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419843/2356368
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-02.2439133/2356369
title: Data for EMSL Project 50018 from February 2022
DOI: 10.25582/data.2022-01.2419822/2356370
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2420530/2356371
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2420546/2356372
title: Data for EMSL Project 50018 from January 2022
DOI: 10.15468/dl.7vvbc4
title: Occurrence Download

description: A dataset containing 581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pinus peuce Griseb.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 581 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036835-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2022-01.2419811/2356373
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2420538/2356374
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-02.2439132/2356375
title: Data for EMSL Project 50018 from February 2022
DOI: 10.25582/data.2022-02.2439156/2356376
title: Data for EMSL Project 50018 from February 2022
DOI: 10.25582/data.2022-01.2419809/2356377
title: Data for EMSL Project 50018 from January 2022
DOI: 10.5281/zenodo.11268188
title: Dielectric Loss due to Charged-Defect Acoustic Phonon Emission
DOI: 10.5281/zenodo.11268189
title: Dielectric Loss due to Charged-Defect Acoustic Phonon Emission
DOI: 10.25582/data.2022-01.2419787/2356378
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419773/2356379
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-02.2439150/2356380
title: Data for EMSL Project 50018 from February 2022
DOI: 10.5281/zenodo.11268042
title: Minimizing habitat conflicts in meeting net-zero energy targets in the western United States

description: This dataset contains spatial and non-spatial input and output data generated for and from the Power of Place West study, published in the Proceedings of the National Academy of Science (PNAS). See readme pdf for more details.
DOI: 10.25582/data.2022-01.2419808/2356381
title: Data for EMSL Project 50018 from January 2022
DOI: 10.5281/zenodo.7460025
title: Minimizing habitat conflicts in meeting net-zero energy targets in the western United States

description: This dataset contains spatial and non-spatial input and output data generated for and from the Power of Place West study, published in the Proceedings of the National Academy of Science (PNAS). See readme pdf for more details.
DOI: 10.5281/zenodo.7460026
title: Minimizing habitat conflicts in meeting net-zero energy targets in the western United States

description: This dataset contains spatial and non-spatial input and output data generated for and from the Power of Place West study, published in the Proceedings of the National Academy of Science (PNAS). See readme pdf for more details.
DOI: 10.25582/data.2022-02.2439185/2356382
title: Data for EMSL Project 50018 from February 2022
DOI: 10.25582/data.2022-01.2419800/2356383
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419813/2356384
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2420492/2356385
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2420483/2356386
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419755/2356387
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-02.2439144/2356388
title: Data for EMSL Project 50018 from February 2022
DOI: 10.25582/data.2022-01.2419746/2356389
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2420583/2356390
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419846/2356391
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-02.2439119/2356392
title: Data for EMSL Project 50018 from February 2022
DOI: 10.25582/data.2022-01.2419859/2356393
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419792/2356394
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419841/2356395
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-01.2419796/2356396
title: Data for EMSL Project 50018 from January 2022
DOI: 10.25582/data.2022-02.2439142/2356397
title: Data for EMSL Project 50018 from February 2022
DOI: 10.25582/data.2022-02.2439131/2356398
title: Data for EMSL Project 50018 from February 2022
DOI: 10.25582/data.2023-02.2747250/2356399
title: Data for EMSL Project 49134 from February 2023
DOI: 10.25582/data.2023-02.2744678/2356400
title: Data for EMSL Project 49134 from February 2023
DOI: 10.25582/data.2023-02.2748709/2356401
title: Data for EMSL Project 49134 from February 2023
DOI: 10.25582/data.2023-02.2747644/2356402
title: Data for EMSL Project 49134 from February 2023
DOI: 10.25582/data.2023-02.2745555/2356403
title: Data for EMSL Project 49134 from February 2023
DOI: 10.25582/data.2023-02.2745144/2356404
title: Data for EMSL Project 49134 from February 2023
DOI: 10.25582/data.2023-02.2749821/2356405
title: Data for EMSL Project 49134 from February 2023
DOI: 10.25582/data.2023-02.2748372/2356406
title: Data for EMSL Project 49134 from February 2023
DOI: 10.25582/data.2023-02.2744260/2356407
title: Data for EMSL Project 49134 from February 2023
DOI: 10.15468/dl.kgc9ea
title: Occurrence Download

description: A dataset containing 195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pinus roxburghii Sarg.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 195 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036836-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-02.2749299/2356408
title: Data for EMSL Project 49134 from February 2023
DOI: 10.25582/data.2023-02.2746101/2356409
title: Data for EMSL Project 49134 from February 2023
DOI: 10.25582/data.2023-02.2746656/2356410
title: Data for EMSL Project 49134 from February 2023
DOI: 10.25582/data.2023-02.2749029/2356411
title: Data for EMSL Project 49134 from February 2023
DOI: 10.25582/data.2023-02.2746932/2356412
title: Data for EMSL Project 49134 from February 2023
DOI: 10.25582/data.2023-02.2744732/2356413
title: Data for EMSL Project 50099 from February 2023
DOI: 10.25582/data.2023-02.2748425/2356414
title: Data for EMSL Project 50099 from February 2023
DOI: 10.25582/data.2023-02.2744314/2356415
title: Data for EMSL Project 50099 from February 2023
DOI: 10.25582/data.2023-02.2748762/2356416
title: Data for EMSL Project 50099 from February 2023
DOI: 10.25582/data.2023-02.2749082/2356417
title: Data for EMSL Project 50099 from February 2023
DOI: 10.25582/data.2023-02.2746714/2356418
title: Data for EMSL Project 50099 from February 2023
DOI: 10.25582/data.2023-02.2749874/2356419
title: Data for EMSL Project 50099 from February 2023
DOI: 10.25582/data.2023-02.2749352/2356420
title: Data for EMSL Project 50099 from February 2023
DOI: 10.25582/data.2023-02.2746153/2356421
title: Data for EMSL Project 50099 from February 2023
DOI: 10.15468/dl.svefxk
title: Occurrence Download

description: A dataset containing 916 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is IND",
 "TaxonKey is Passiflora foetida L."
 ]
}

 The dataset includes 916 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036837-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-02.2745610/2356422
title: Data for EMSL Project 50099 from February 2023
DOI: 10.25582/data.2023-02.2747697/2356423
title: Data for EMSL Project 50099 from February 2023
DOI: 10.15468/dl.6ynpjj
title: Occurrence Download

description: A dataset containing 207783 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Linaria flavirostris (Linnaeus, 1758)",
 "BasisOfRecord is one of (Human Observation, Observation)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "Country is one of (Finland, Ireland, Sweden, Cyprus, Portugal, Netherlands, France, Bulgaria, Romania, Spain, Poland, Czechia, Malta, United Kingdom of Great Britain and Northern Ireland, Austria, Croatia, Slovenia, Slovakia, Germany, Denmark, Italy, Belgium, Gibraltar, Lithuania, Greece, Luxembourg, Latvia, Estonia, Hungary)"
 ]
}

 The dataset includes 207783 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036827-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-02.2747302/2356424
title: Data for EMSL Project 50099 from February 2023
DOI: 10.25582/data.2023-02.2746984/2356425
title: Data for EMSL Project 50099 from February 2023
DOI: 10.25582/data.2023-02.2745197/2356426
title: Data for EMSL Project 50099 from February 2023
DOI: 10.25582/data.2023-02.2748380/2356427
title: Data for EMSL Project 49413 from February 2023
DOI: 10.25582/data.2023-02.2749829/2356428
title: Data for EMSL Project 49413 from February 2023
DOI: 10.25582/data.2023-02.2747653/2356429
title: Data for EMSL Project 49413 from February 2023
DOI: 10.25582/data.2023-02.2749308/2356430
title: Data for EMSL Project 49413 from February 2023
DOI: 10.25582/data.2023-02.2745564/2356431
title: Data for EMSL Project 49413 from February 2023
DOI: 10.15468/dl.gvuhfk
title: Occurrence Download

description: A dataset containing 219799 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cecropis daurica (Laxmann, 1769)",
 "BasisOfRecord is one of (Human Observation, Observation)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "Country is one of (Finland, Ireland, Sweden, Cyprus, Portugal, Netherlands, France, Bulgaria, Romania, Spain, Poland, Czechia, Malta, United Kingdom of Great Britain and Northern Ireland, Austria, Croatia, Slovenia, Slovakia, Germany, Denmark, Italy, Belgium, Gibraltar, Lithuania, Greece, Luxembourg, Latvia, Estonia, Hungary)"
 ]
}

 The dataset includes 219799 records from 254 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036829-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-02.2746109/2356432
title: Data for EMSL Project 49413 from February 2023
DOI: 10.25582/data.2023-02.2744269/2356433
title: Data for EMSL Project 49413 from February 2023
DOI: 10.25582/data.2023-02.2748717/2356434
title: Data for EMSL Project 49413 from February 2023
DOI: 10.25582/data.2023-02.2749037/2356435
title: Data for EMSL Project 49413 from February 2023
DOI: 10.25582/data.2023-02.2744686/2356436
title: Data for EMSL Project 49413 from February 2023
DOI: 10.25582/data.2023-02.2746665/2356437
title: Data for EMSL Project 49413 from February 2023