cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17052489
title: SARS-CoV-2 Translational Speed Across the Pandemic (n = 9,356,279)

description: Dataset: TRANSLATIONAL_SPEEDSource: translational_speed.zipDescription: Translational speed predictions across SARS-CoV-2 genomes.

Total TSV files: 1Sample file: translational_speed.tsvTotal genomic records: 9,356,279Columns: strain,date,lineage,accession,S_mutations,E_mutations,M_mutations,N_mutations,S_speed,E_speed,M_speed,N_speed,total_mutationsData Preview:  Row 1: unknown,unknown,Other,USA/CA-LACPHL-A,,,,,0.651493 ...  Row 2: unknown,unknown,Other,USA/CA-CDC-FG-1,S:654Y>N;S:1 ...  Row 3: unknown,unknown,Other,USA/PA-BOL-M211,S:298K>syn;S ...

----------------------------------------------------------------

Data generated by Tahir, H. B. (tahirhb@hotmail.com )
DOI: 10.5281/zenodo.17025114
title: SARS-CoV-2 Structural Gene Co-Mutation Atlas: 26 Million Cross-Gene Co-Occurrence Events from Genomic Surveillance

description: Comprehensive co-mutation landscape of SARS-CoV-2 structural genes, derived from large-scale genomic analysis of >10 million sequences.

This dataset includes:- 12.7 Million intra-spike co-occurring pairs- 1.0 Million nucleocapsid (N) co-mutations- 78 Thousand membrane (M) co-mutations- 500+ envelope (E) co-mutations- 12.6 Million inter-gene Spike ↔ (E/M/N) co-occurring events→ Total: ~26.4 million mutation pairs across 88,000+ TSV files

Built using high-throughput bioinformatics pipeline via GVAtlas.Org for cross-gene epistasis screening, variant surveillance, and co-evolution analysis.

This archive supports ongoing research into functional interactions between viral proteins and will form the basis of a forthcoming preprint and submission to a peer-reviewed journal.

Data curation by TahirHB@hotmail.com
DOI: 10.5281/zenodo.17025113
title: SARS-CoV-2 Structural Gene Co-Mutation Atlas: 26 Million Cross-Gene Co-Occurrence Events from Genomic Surveillance

description: Comprehensive co-mutation landscape of SARS-CoV-2 structural genes, derived from large-scale genomic analysis of >10 million sequences.

This dataset includes:- 12.7 Million intra-spike co-occurring pairs- 1.0 Million nucleocapsid (N) co-mutations- 78 Thousand membrane (M) co-mutations- 500+ envelope (E) co-mutations- 12.6 Million inter-gene Spike ↔ (E/M/N) co-occurring events→ Total: ~26.4 million mutation pairs across 88,000+ TSV files

Built using high-throughput bioinformatics pipeline via GVAtlas.Org for cross-gene epistasis screening, variant surveillance, and co-evolution analysis.

This archive supports ongoing research into functional interactions between viral proteins and will form the basis of a forthcoming preprint and submission to a peer-reviewed journal.

Data curation by TahirHB@hotmail.com
DOI: 10.5281/zenodo.17008699
title: Codon Usage Bias in SARS-CoV-2 Spike Gene: A 9-Million-Genome Analysis

description: This dataset contains codon usage bias (CUB) analysis from ~9 million SARS-CoV-2 genomes, focusing on the Spike protein. The data is split into 188 chunks (cub_spike_chunk_*.tsv) and includes:

Codon frequency per amino acidRelative synonymous codon usage (RSCU)Top accessions associated with each codon etc.

For the study of viral evolution, translational regulation, and host adaptation.

Data format: TSV files 188 x 50,000 chunks | Derived from GISAID/NCBI sequences | Data Normalized via GVAtlas | Collected 2020–2024
DOI: 10.15468/dl.rufxj4
title: Occurrence Download

description: A dataset containing 1589 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kandelia obovata"
 ]
}

 The dataset includes 1589 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022916-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17008700
title: Codon Usage Bias in SARS-CoV-2 Spike Gene: A 9-Million-Genome Analysis

description: This dataset contains codon usage bias (CUB) analysis from ~9 million SARS-CoV-2 genomes, focusing on the Spike protein. The data is split into 188 chunks (cub_spike_chunk_*.tsv) and includes:

Codon frequency per amino acidRelative synonymous codon usage (RSCU)Top accessions associated with each codon etc.

For the study of viral evolution, translational regulation, and host adaptation.

Data format: TSV files 188 x 50,000 chunks | Derived from GISAID/NCBI sequences | Data Normalized via GVAtlas | Collected 2020–2024
DOI: 10.15468/dl.v2z46f
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solatopupa similis",
 "Country is Switzerland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 25 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022917-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3x2ky3
title: Occurrence Download

description: A dataset containing 26388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Strigiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-70 10,-60 10,-60 20,-70 20,-70 10))"
 ]
}

 The dataset includes 26388 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022919-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15470821
title: Laevidentalium wiesei Sahlmann, 2012 (Scaphopoda: Dentaliida: Laevidentaliidae) – tomographic datasets

description: This file collection encompasses x-ray tomographic datasets for two ethanol-preserved specimens of the abyssal scaphopod Laevidentalium wiesei Sahlmann, 2012 housed in the malacological collection of the Senckenberg Research Institute and Natural History Museum Frankfurt (Frankfurt am Main, Germany; catalogue numbers SMF 373200 and SMF 366426). The animals were collected in 2022 by the SO293 (AleutBio) expedition of research vessel Sonne to the Aleutian Trench and the abyssal Bering Sea (Brandt 2022) and used in the redescription of this poorly known species. For individual SMF 366426, a VGSTUDIO MAX volume (can be opened in the free myVGL viewer) and a 3D surface model are available.

Methods: Shell shape and soft body anatomy were studied by micro-computed tomography (µCT), using a Werth TomoScope XS Plus CT scanner with the following settings [scan of SMF 373200/scan of SMF 366426]: acceleration voltage 60/80 kV, emission current 180/200 µA, exposure time 666 ms, voxel size 6.29/21.81 µm, number of images per revolution 2,000/1,000. Prior to scanning, specimens had been contrasted in a solution of 0.3% phosphotungstic acid and 3% dimethyl sulfoxide in 95% ethanol (Senckenberg Ocean Species Alliance (SOSA) et al. 2024) for 27 days. The 3D shell reconstruction of SMF 366426 was obtained by first cropping the raw tomographic dataset in Avizo3D (v. 2024.1; Thermo Fisher Scientific) and postprocessing the resultant file in VGSTUDIO MAX (v. 2024.3; Volume Graphics).

 

References

Brandt, A. (2022). SO293 AleutBio (Aleutian Trench Biodiversity Studies). Cruise Report/Fahrtbericht, Cruise No. SO293, 24.07.2022 – 06.09.2022, Dutch Harbor (USA) – Vancouver (Canada). 209 pp. https://doi.org/10.48433/cr_so293

Senckenberg Ocean Species Alliance (SOSA), Brandt A., Chen C., Engel L., Esquete P., Horton T., Jażdżewska A.M., Johannsen N., Kaiser S., Kihara T.C., Knauber H., Kniesz K., Landschoff J., Lörz A.-N., Machado F.M., Martínez-Muñoz C.A., Riehl T., Serpell-Stevens A., Sigwart J.D., Tandberg A.H.S., Tato R., Tsuda M., Vončina K., Watanabe H.K., Wenz C., Williams J.D. (2024). Ocean Species Discoveries 1–12 — A primer for accelerating marine invertebrate taxonomy. Biodiversity Data Journal 12: e128431. https://doi.org/10.3897/BDJ.12.e128431
DOI: 10.15468/dl.wsnm6b
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phaethontiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((140 -10,150 -10,150 0,140 0,140 -10))"
 ]
}

 The dataset includes 27 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022918-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p73eun
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phaethontiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((150 -10,160 -10,160 0,150 0,150 -10))"
 ]
}

 The dataset includes 119 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022920-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15470822
title: Laevidentalium wiesei Sahlmann, 2012 (Scaphopoda: Dentaliida: Laevidentaliidae) – tomographic datasets

description: This file collection encompasses x-ray tomographic datasets for two ethanol-preserved specimens of the abyssal scaphopod Laevidentalium wiesei Sahlmann, 2012 housed in the malacological collection of the Senckenberg Research Institute and Natural History Museum Frankfurt (Frankfurt am Main, Germany; catalogue numbers SMF 373200 and SMF 366426). The animals were collected in 2022 by the SO293 (AleutBio) expedition of research vessel Sonne to the Aleutian Trench and the abyssal Bering Sea (Brandt 2022) and used in the redescription of this poorly known species. For individual SMF 366426, a VGSTUDIO MAX volume (can be opened in the free myVGL viewer) and a 3D surface model are available.

Methods: Shell shape and soft body anatomy were studied by micro-computed tomography (µCT), using a Werth TomoScope XS Plus CT scanner with the following settings [scan of SMF 373200/scan of SMF 366426]: acceleration voltage 60/80 kV, emission current 180/200 µA, exposure time 666 ms, voxel size 6.29/21.81 µm, number of images per revolution 2,000/1,000. Prior to scanning, specimens had been contrasted in a solution of 0.3% phosphotungstic acid and 3% dimethyl sulfoxide in 95% ethanol (Senckenberg Ocean Species Alliance (SOSA) et al. 2024) for 27 days. The 3D shell reconstruction of SMF 366426 was obtained by first cropping the raw tomographic dataset in Avizo3D (v. 2024.1; Thermo Fisher Scientific) and postprocessing the resultant file in VGSTUDIO MAX (v. 2024.3; Volume Graphics).

 

References

Brandt, A. (2022). SO293 AleutBio (Aleutian Trench Biodiversity Studies). Cruise Report/Fahrtbericht, Cruise No. SO293, 24.07.2022 – 06.09.2022, Dutch Harbor (USA) – Vancouver (Canada). 209 pp. https://doi.org/10.48433/cr_so293

Senckenberg Ocean Species Alliance (SOSA), Brandt A., Chen C., Engel L., Esquete P., Horton T., Jażdżewska A.M., Johannsen N., Kaiser S., Kihara T.C., Knauber H., Kniesz K., Landschoff J., Lörz A.-N., Machado F.M., Martínez-Muñoz C.A., Riehl T., Serpell-Stevens A., Sigwart J.D., Tandberg A.H.S., Tato R., Tsuda M., Vončina K., Watanabe H.K., Wenz C., Williams J.D. (2024). Ocean Species Discoveries 1–12 — A primer for accelerating marine invertebrate taxonomy. Biodiversity Data Journal 12: e128431. https://doi.org/10.3897/BDJ.12.e128431
DOI: 10.5281/zenodo.16969479
title: Co-occurring Mutations in SARS-CoV-2 ORF10 Across 9.3 Million Genomes

description: Dataset: Co-occurring Mutations in SARS-CoV-2 ORF10

 

 Description

This dataset contains co-mutation pairs identified in the ORF10 gene (positions 29558–29674, Wuhan-Hu-1 reference) across 9,356,279 SARS-CoV-2 genomes.

 

 Methods

- Sequences: Global public data (GVAtlas, GISAID, NCBI, etc.)

- Full ORF10 definition: ≥100 valid nucleotides in 29558–29674

- Total full ORF10 sequences: 9,105,582

- Co-mutation counting: pairs of SNPs occurring in same sequence

- Frequency = count / 9,105,582

- Accessions: top 100 per pair, plus "num_additional" for rest

 

 Columns in CSV

- mutation1, mutation2: genome position and change (e.g., 29570G>A)

- total_count: number of sequences with both mutations

- frequency_percent: percentage of full ORF10 sequences

- top100_accessions: comma-separated EPI_ISL IDs

- num_additional: how many more beyond the 100 listed

 

 Author

Tahir Bhatti

GVAtlas Research and Precision Diagnostics Limited

https://gvatlas.org

tahirhb@hotmail.com

 

 Date

August 27, 2025

 

 License

Creative Commons Attribution 4.0 (CC-BY 4.0)
DOI: 10.5281/zenodo.16777343
title: Comprehensive Mutation Profiling of the SARS-CoV-2 Envelope (E) Gene Across 2.8 Million Genomes: A Global Evolutionary Analysis
title: Mapping the Global Mutation Landscape of the SARS-CoV-2 Envelope (E) Gene: Patterns from 2.8 Million Genomes

description: This analysis of over 2 million SARS-CoV-2 E gene sequences reveals dominant mutation constellations, with the most prevalent being T9I (921,987 occurrences), followed by T11A+T9I (91,410), T9X (3,718), V62F (2,673), and P71L (2,607), highlighting key evolutionary trajectories since 2021. These mutations, observed across diverse geographic regions including the USA, Switzerland, and Vietnam, often co-occur in functionally relevant regions of the envelope protein, suggesting selective pressure linked to immune modulation and viral fitness.

The presence of complex constellations such as A41X+C40X+C43X+C44X+...+T9I (506 occurrences) and recurring patterns like N66X+T9I and L73F+T9I underscores the emergence of stable, globally disseminated variants. This dataset provides a high-resolution view of E gene evolution, enabling surveillance of mutation dynamics and informing therapeutic design.

The dataset is structured for immediate use in genomic epidemiology, vaccine design, and public health surveillance. All sequences were processed in a chunked, energy-efficient pipeline to ensure scalability on limited computational resources. This work supports ongoing research into coronavirus evolution and provides a foundation for real-time genomic analysis frameworks.
DOI: 10.15468/dl.8ud4xe
title: Occurrence Download

description: A dataset containing 4549 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ardisia sieboldii"
 ]
}

 The dataset includes 4549 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022921-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16969478
title: Co-occurring Mutations in SARS-CoV-2 ORF10 Across 9.3 Million Genomes

description: Dataset: Co-occurring Mutations in SARS-CoV-2 ORF10

 

 Description

This dataset contains co-mutation pairs identified in the ORF10 gene (positions 29558–29674, Wuhan-Hu-1 reference) across 9,356,279 SARS-CoV-2 genomes.

 

 Methods

- Sequences: Global public data (GVAtlas, GISAID, NCBI, etc.)

- Full ORF10 definition: ≥100 valid nucleotides in 29558–29674

- Total full ORF10 sequences: 9,105,582

- Co-mutation counting: pairs of SNPs occurring in same sequence

- Frequency = count / 9,105,582

- Accessions: top 100 per pair, plus "num_additional" for rest

 

 Columns in CSV

- mutation1, mutation2: genome position and change (e.g., 29570G>A)

- total_count: number of sequences with both mutations

- frequency_percent: percentage of full ORF10 sequences

- top100_accessions: comma-separated EPI_ISL IDs

- num_additional: how many more beyond the 100 listed

 

 Author

Tahir Bhatti

GVAtlas Research and Precision Diagnostics Limited

https://gvatlas.org

tahirhb@hotmail.com

 

 Date

August 27, 2025

 

 License

Creative Commons Attribution 4.0 (CC-BY 4.0)
DOI: 10.15468/dl.2s8xz7
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Salariopsis fluviatilis, Gnathochromis pfefferi, Chalinochromis brichardi, Chalinochromis cyanophleps, Chalinochromis popelini)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "Issue" : [
 "is one of (Recorded date invalid, Recorded date mismatch, Recorded date unlikely, Modified date invalid)"
 ]
 }
 },
 "Geometry MULTIPOLYGON (((44.7256 -13.3177, 45.1376 -13.5063, 45.5464 -13.3432, 45.7456 -13.0171, 45.7852 -12.6623, 45.638 -12.4031, 45.0245 -12.136, 44.6652 -11.6088, 43.9782 -11.7142, 43.8575 -11.1854, 43.5561 -10.9013, 42.9255 -11.043, 42.7331 -11.7654, 43.2052 -12.6542, 43.4803 -12.8847, 44.5705 -12.8806, 44.7256 -13.3177)), ((41.0605 -13.1401, 41.2083 -10.8702, 40.8137 -10.0044, 40.2891 -9.7011, 40.0279 -8.7703, 40.4084 -7.7006, 40.2507 -7.283, 40.3593 -6.9401, 37.1382 -6.9401, 37.1382 2.0599, 37.1382 11.0599, 28.1382 11.0599, 28.1382 2.0599, 28.1382 -6.9401, 28.1382 -15.9401, 28.1382 -24.9401, 28.1382 -33.4828, 28.196 -33.4487, 30.377 -31.6356, 31.6769 -29.761, 32.8025 -28.8229, 33.358 -27.1012, 33.4492 -25.7792, 35.2919 -25.0813, 35.4247 -24.9401, 35.8709 -24.466, 36.104 -22.9254, 35.9928 -21.5082, 35.6186 -21.0464, 35.2681 -20.21, 36.0896 -19.4412, 36.6773 -19.208, 37.1382 -18.642, 37.1382 -15.9401, 40.833 -15.9401, 41.2799 -15.1437, 41.3393 -14.5415, 41.0746 -13.7303, 41.0605 -13.1401)), ((46.1382 -8.8989, 45.8555 -9.026, 45.7252 -9.5538, 46.1382 -10.1057, 46.1382 -8.8989)), ((43.4152 -24.9401, 43.6209 -25.3534, 43.9532 -25.6605, 44.5932 -25.8012, 45.0156 -26.0824, 45.5611 -26.0728, 46.1382 -25.8059, 46.1382 -24.9401, 43.4152 -24.9401)), ((37.1 -47.075, 37.1382 -47.1134, 37.1382 -46.9324, 37.1 -47.075)))"
 ]
}

 The dataset includes 155 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022922-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16755312
title: Comprehensive Analysis of SARS-CoV-2 Spike Gene: Mutation Variability, GC/AT Content, and Evolutionary Dynamics Across Randomly Selected 186,457 Genomes

description: This dataset provides a detailed genomic analysis of the SARS-CoV-2 Spike (S) gene, based on 186,457 high-quality, full-length genomes aligned to the Wuhan-Hu-1 reference (NC_045512.2).

Key findings include:





Mutation Variability:



Mutation frequencies were calculated at both nucleotide and amino acid resolutions, identifying critical hotspots in regions such as the Receptor-Binding Domain (RBD), N-terminal Domain (NTD), and Furin cleavage site.

Results highlight strong selective pressures linked to immune escape and transmissibility, offering a dynamic view of viral adaptation over time.





GC/AT Content:



Total sequences analyzed: 186,457

Total bases: 712,638,654

Overall GC%: 36.13%

Overall AT%: 60.88%

Detailed breakdown:



Total G: 127,357,894

Total C: 130,107,079

Total A: 204,006,970

Total T: 229,838,111







Evolutionary Dynamics:



The dataset enables tracking of evolutionary trends, prioritization of surveillance targets, and supports vaccine and therapeutic development.
DOI: 10.5281/zenodo.16777342
title: Comprehensive Mutation Profiling of the SARS-CoV-2 Envelope (E) Gene Across 2.8 Million Genomes: A Global Evolutionary Analysis
title: Mapping the Global Mutation Landscape of the SARS-CoV-2 Envelope (E) Gene: Patterns from 2.8 Million Genomes

description: This analysis of over 2 million SARS-CoV-2 E gene sequences reveals dominant mutation constellations, with the most prevalent being T9I (921,987 occurrences), followed by T11A+T9I (91,410), T9X (3,718), V62F (2,673), and P71L (2,607), highlighting key evolutionary trajectories since 2021. These mutations, observed across diverse geographic regions including the USA, Switzerland, and Vietnam, often co-occur in functionally relevant regions of the envelope protein, suggesting selective pressure linked to immune modulation and viral fitness.

The presence of complex constellations such as A41X+C40X+C43X+C44X+...+T9I (506 occurrences) and recurring patterns like N66X+T9I and L73F+T9I underscores the emergence of stable, globally disseminated variants. This dataset provides a high-resolution view of E gene evolution, enabling surveillance of mutation dynamics and informing therapeutic design.

The dataset is structured for immediate use in genomic epidemiology, vaccine design, and public health surveillance. All sequences were processed in a chunked, energy-efficient pipeline to ensure scalability on limited computational resources. This work supports ongoing research into coronavirus evolution and provides a foundation for real-time genomic analysis frameworks.
DOI: 10.5281/zenodo.16755313
title: Comprehensive Analysis of SARS-CoV-2 Spike Gene: Mutation Variability, GC/AT Content, and Evolutionary Dynamics Across Randomly Selected 186,457 Genomes

description: This dataset provides a detailed genomic analysis of the SARS-CoV-2 Spike (S) gene, based on 186,457 high-quality, full-length genomes aligned to the Wuhan-Hu-1 reference (NC_045512.2).

Key findings include:





Mutation Variability:



Mutation frequencies were calculated at both nucleotide and amino acid resolutions, identifying critical hotspots in regions such as the Receptor-Binding Domain (RBD), N-terminal Domain (NTD), and Furin cleavage site.

Results highlight strong selective pressures linked to immune escape and transmissibility, offering a dynamic view of viral adaptation over time.





GC/AT Content:



Total sequences analyzed: 186,457

Total bases: 712,638,654

Overall GC%: 36.13%

Overall AT%: 60.88%

Detailed breakdown:



Total G: 127,357,894

Total C: 130,107,079

Total A: 204,006,970

Total T: 229,838,111







Evolutionary Dynamics:



The dataset enables tracking of evolutionary trends, prioritization of surveillance targets, and supports vaccine and therapeutic development.
DOI: 10.15468/dl.k8bqqn
title: Occurrence Download

description: A dataset containing 133503 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "Country is Mexico",
 "GadmGid is MEX.13_1"
 ]
}

 The dataset includes 133503 records from 596 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022900-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id234476.1
title: StrainInfo SI-ID 234476.1

description: StrainInfo dataset 234476 about a strain of Penicillium waksmanii. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id234477.1
title: StrainInfo SI-ID 234477.1

description: StrainInfo dataset 234477 about a strain of Unidentified. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.