cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/ae7a51738a412dda3cc7ced221c5e90d
title: Santa Barbara Channel Marine BON: Integrated fish

description: The Santa Barbara Channel MBON tracks long-term patterns in species abundance and
 diversity. This dataset contains counts of fish (including cryptic fish, which are
 deliberately sought out) produced by integrating data from four contributing projects
 working in the kelp forests of the Santa Barbara Channel, USA. 
 This dataset includes three entities, two data tables and R code. The main data table
 contains counts of organisms, the area over which that number was counted and the height
 above the bottom. Data were collected by human observation (divers using SCUBA) during
 regular surveys. The column labeled “count” records the number of organisms found in each
 plot/transect at a given timestamp.. A second data table contains place names and
 geolocation for sampling sites. Information is sufficient for the calculation of fish
 density, which is left to the user. Sample R-code is included (third entity) to illustrate
 generation of a basic table of areal density by taxa and sampling site. See Methods for
 information on integration and data processing 
 The four contributing projects are two research projects: the Santa Barbara Coastal
 LTER (SBC LTER) and the Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO),
 and the kelp forest monitoring program of the Santa Barbara Channel National Park, and the
 San Nicolas Island monitoring program supported by USGS. Together, these projects have
 recorded data for more than 200 species at approximately 100 sites on both the mainland
 coast and on the Santa Barbara Channel Islands. Sampling began in 1982 and is ongoing.
DOI: 10.6073/pasta/bf143fa962e1edb822847bc0ee90c2f7
title: Santa Barbara Channel Marine BON: Integrated benthic cover

description: The Santa Barbara Channel MBON tracks long-term patterns in species abundance and
 diversity. This dataset contains cover of kelp forest sessile invertebrates, understory
 macroalgae, and substrate types by integrating data from four contributing projects working
 in the kelp forests of the Santa Barbara Channel, USA. Divers collect data on using either
 uniform point contact (UPC) or random point contact (RPC) methods. 
 The four contributing projects are two research projects: the Santa Barbara Coastal
 LTER (SBC LTER) and the Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO),
 and the kelp forest monitoring program of the Santa Barbara Channel National Park, and the
 San Nicolas Island monitoring program supported by USGS. Together, these projects have
 recorded data for more than 200 species at approximately 100 sites on both the mainland
 coast and on the Santa Barbara Channel Islands. Sampling began in 1982 and is ongoing. 
 Percent cover is recorded for taxa where individuals cannot be counted. Cover can be
 calculated from the data here as the fraction of total points at which the taxon was present
 x 100. With UPC and RPC, multiple species can be recorded at any given point. The total
 percent cover of all species combined using this method can exceed 100%; however, the
 percent cover of any single species cannot exceed 100%. See Methods for information on
 integration and data processing.
DOI: 10.15468/dl.ws7dft
title: Occurrence Download

description: A dataset containing 5357 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Acacia cyclops A.Cunn. ex G.Don"
 ]
}

 The dataset includes 5357 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052682-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12192137
title: Data for "Selective Gas Phase Enrichment of Modified Peptides for Activity-Based Protein Profiling"

description: Raw and .mnova NMR data
DOI: 10.15468/dl.frmeen
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Disa cardinalis H.P.Linder",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.2855 -34.7533,20.509 -34.5676,20.509 -32.9007,17.7723 -32.9007,17.8156 -33.0786,18.3471 -33.7176,18.3748 -33.8287,18.2181 -34.0492,18.3197 -34.3408,18.4452 -34.429,18.5435 -34.4213,18.5872 -34.3667,18.5363 -34.167,18.7345 -34.1508,18.7216 -34.3637,18.7808 -34.4521,19.0289 -34.4206,19.0831 -34.4835,19.2655 -34.5017,19.2032 -34.6157,19.2394 -34.6926,19.375 -34.6963,19.6091 -34.8524,19.8251 -34.8396,19.9798 -34.9064,20.1081 -34.8731,20.1517 -34.7847,20.2855 -34.7533))"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052683-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wchtvq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chrysichthys aluuensis Risch, 1985",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((37.1382 2.0599,28.1382 2.0599,28.1382 -6.9401,37.1382 -6.9401,37.1382 2.0599))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052684-250525065834625/datasets/export for details.
DOI: 10.15468/dl.prhxet
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-73.36597 5.38013,-73.18394 5.46142,-73.41091 5.91908,-73.65647 5.8176,-73.36597 5.38013))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pyrrhura calliptera (Massena & Souance, 1854)",
 "Year 2000-2025"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052685-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15199975
title: AFMF AI/ML Simulations: Authorship Record & Monte Carlo Scenario Results

description: This document formally declares the authorship, structure, and application of the AI- and ML-powered simulation suite developed under the Alaali Financial Models Framework (AFMF). This simulation system is the first of its kind to integrate:



Sovereign Support Adjustment Factor (SSAF)

ESG-adjusted cost of capital (A-ESG-WACC)

Advanced interest coverage diagnostics (A-ICR)

Cash flow volatility analytics (A-CFVI)

AI/ML forecasting engines using Monte Carlo simulations, Random Forest, and Gradient Boosting


The AI/ML simulation engine was deployed to run 10,000 scenario-based stress tests on real-world case studies, beginning with Aluminium Bahrain (Alba) and Alcoa, integrating geopolitical risk, liquidity volatility, and ESG sensitivity into probabilistic forecasting.

This Zenodo upload provides a timestamped, citable record of the technical innovation, first authorship, and proof of execution, including:



A descriptive PDF of the simulation logic and framework

An Excel file with 10,000 simulation outputs (Monte Carlo runs)

Documentation for future licensing and empirical validation
DOI: 10.5281/zenodo.15686080
title: AFMF AI/ML Simulations: Authorship Record & Monte Carlo Scenario Results

description: This document formally declares the authorship, structure, and application of the AI- and ML-powered simulation suite developed under the Alaali Financial Models Framework (AFMF). This simulation system is the first of its kind to integrate:



Sovereign Support Adjustment Factor (SSAF)

ESG-adjusted cost of capital (A-ESG-WACC)

Advanced interest coverage diagnostics (A-ICR)

Cash flow volatility analytics (A-CFVI)

AI/ML forecasting engines using Monte Carlo simulations, Random Forest, and Gradient Boosting


The AI/ML simulation engine was deployed to run 10,000 scenario-based stress tests on real-world case studies, beginning with Aluminium Bahrain (Alba) and Alcoa, integrating geopolitical risk, liquidity volatility, and ESG sensitivity into probabilistic forecasting.

This Zenodo upload provides a timestamped, citable record of the technical innovation, first authorship, and proof of execution, including:



A descriptive PDF of the simulation logic and framework

An Excel file with 10,000 simulation outputs (Monte Carlo runs)

Documentation for future licensing and empirical validation
DOI: 10.15468/dl.btrcw2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chrysichthys aluuensis Risch, 1985",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((29.1409 31.3397,28.1382 31.6271,28.1382 29.0599,35.2765 29.0599,35.4107 29.4968,34.5044 31.7516,34.206 31.8338,33.641 31.6189,33.1338 31.7313,32.728 31.6056,32.0818 31.9994,31.0088 32.1001,30.2163 31.954,29.1409 31.3397))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052686-250525065834625/datasets/export for details.
DOI: 10.15468/dl.kn924p
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Restio dimorphostachyus Mast.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1586 -33.5889,28.2048 -32.9007,25.5395 -32.9007,25.5395 -34.1098,25.6468 -34.1222,25.7787 -34.0734,25.7098 -33.9109,25.8639 -33.797,26.4806 -33.8473,27.1586 -33.5889))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052687-250525065834625/datasets/export for details.
DOI: 10.15468/dl.kfhfm5
title: Occurrence Download

description: A dataset containing 560 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Copiapoa coquimbana (Karw.) Britton & Rose",
 "Year 1970-2025"
 ]
}

 The dataset includes 560 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052688-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.95q9c9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chrysichthys aluuensis Risch, 1985",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((5.9985 -1.8197,6.1596 -1.4443,5.9957 -1.0552,5.6304 -0.9035,5.2841 -1.0308,5.1008 -1.4539,5.2222 -1.7725,5.639 -1.9676,5.9985 -1.8197))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052689-250525065834625/datasets/export for details.
DOI: 10.15468/dl.j3wefy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Restio dimorphostachyus Mast.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((18.2339 -32.5266,18.1411 -32.657,18.1007 -32.7021,18.0224 -32.6366,17.8923 -32.6419,17.754 -32.8255,17.7723 -32.9007,20.509 -32.9007,20.509 -28.5786,16.2782 -28.5786,16.4358 -28.7202,16.726 -29.1235,17.1957 -30.3752,17.6655 -31.1743,18.1322 -31.7679,18.2495 -32.2638,18.2339 -32.5266))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052690-250525065834625/datasets/export for details.
DOI: 10.15468/dl.fbvwrx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Disa falcata Schltr.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((31.8862 -21.3285,30.5701 -20.3186,30.5701 -24.0715,35.5909 -24.0715,35.6007 -24.0157,35.6007 -23.8125,35.4969 -23.7035,35.6007 -23.165,35.6007 -22.9702,35.227 -22.2482,34.6862 -21.6944,34.013 -21.3095,33.5 -21.1593,32.9675 -21.1092,32.4352 -21.1612,31.8862 -21.3285))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052694-250525065834625/datasets/export for details.
DOI: 10.15468/dl.eua8sn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chrysichthys aluuensis Risch, 1985",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((-23.2862 17.2255,-23.4937 16.8096,-23.4003 15.7935,-23.8743 15.8233,-24.2178 15.531,-24.9647 15.3946,-25.2488 14.8377,-25.0969 14.4751,-24.7024 14.3018,-23.9298 14.5093,-23.3237 14.4311,-22.7909 14.7585,-22.613 15.0206,-22.6491 15.5015,-22.293 15.7351,-22.1649 16.0843,-22.476 17.116,-22.919 17.3554,-23.2862 17.2255))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052693-250525065834625/datasets/export for details.
DOI: 10.15468/dl.reuzgn
title: Occurrence Download

description: A dataset containing 172475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Apus caffer (M.H.K.Lichtenstein, 1823)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 172475 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052675-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dmzevh
title: Occurrence Download

description: A dataset containing 30499 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Acacia mearnsii De Wild."
 ]
}

 The dataset includes 30499 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052695-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tcfrb8
title: Occurrence Download

description: A dataset containing 12749 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is one of (Mexico, United States of America, Guatemala, El Salvador, Cuba, Haiti, Jamaica, Honduras, Panama)",
 "OccurrenceStatus is Present",
 "TaxonKey is Silybum marianum (L.) Gaertn.",
 "Year 1900-2025"
 ]
}

 The dataset includes 12749 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052696-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bush58
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Enteromius roussellei (Ladiges & Voelker, 1961)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((52.9229 -4.6891,52.7928 -5.4458,52.3502 -5.9456,52.3597 -6.2641,52.5923 -6.5238,52.2937 -6.7403,52.2917 -6.9401,53.175 -6.9401,53.1471 -6.7216,54.1043 -5.961,54.1687 -5.5199,53.8001 -5.19,53.8668 -4.7363,53.5536 -4.4067,53.1632 -4.4308,52.9229 -4.6891))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052697-250525065834625/datasets/export for details.
DOI: 10.15468/dl.ak59su
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Disa falcata Schltr.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1586 -33.5889,28.2048 -32.9007,25.5395 -32.9007,25.5395 -34.1098,25.6468 -34.1222,25.7787 -34.0734,25.7098 -33.9109,25.8639 -33.797,26.4806 -33.8473,27.1586 -33.5889))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052698-250525065834625/datasets/export for details.
DOI: 10.15468/dl.98rukg
title: Occurrence Download

description: A dataset containing 14891 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Apus horus (Heuglin, 1869)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 14891 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052701-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29345459.v1
title: BeeSwarm-MH Sampling for Bayesian Inference of GL Equation Parameters

description: This study presents BeeSwarm-MH, a hybrid sampling algorithm integrating bee swarm optimization with Metropolis-Hastings (MH) criteria to address traditional MH's limitations in global exploration and step-size sensitivity. The algorithm achieves synergistic global-local search via scout-worker bee division, dual-layer adaptive step-size adjustment, and sliding-window convergence diagnosis.Experimental validation on Ginzburg-Landau equation parameter estimation shows BeeSwarm-MH reduces runtime by 65.3\% with 10\% fewer iterations compared to classic MH, yielding parameter deviations less than 0.001 and R-hat less than 1.0014. This work demonstrates that swarm intelligence-MCMC integration enhances inference efficiency for complex models, offering a novel paradigm for high-dimensional Bayesian analysis.Future research will explore high-dimensional extension, multi-modal convergence theory, and applications in quantum physics and biomedical modeling.
DOI: 10.6084/m9.figshare.29345459
title: BeeSwarm-MH Sampling for Bayesian Inference of GL Equation Parameters

description: This study presents BeeSwarm-MH, a hybrid sampling algorithm integrating bee swarm optimization with Metropolis-Hastings (MH) criteria to address traditional MH's limitations in global exploration and step-size sensitivity. The algorithm achieves synergistic global-local search via scout-worker bee division, dual-layer adaptive step-size adjustment, and sliding-window convergence diagnosis.Experimental validation on Ginzburg-Landau equation parameter estimation shows BeeSwarm-MH reduces runtime by 65.3\% with 10\% fewer iterations compared to classic MH, yielding parameter deviations less than 0.001 and R-hat less than 1.0014. This work demonstrates that swarm intelligence-MCMC integration enhances inference efficiency for complex models, offering a novel paradigm for high-dimensional Bayesian analysis.Future research will explore high-dimensional extension, multi-modal convergence theory, and applications in quantum physics and biomedical modeling.
DOI: 10.15468/dl.7jnbhk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Enteromius roussellei (Ladiges & Voelker, 1961)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((43.2262 -16.9066,42.991 -16.6199,42.5693 -16.563,42.237 -16.8562,42.2373 -17.2371,42.4892 -17.5028,42.907 -17.5351,43.1823 -17.3111,43.2262 -16.9066))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052704-250525065834625/datasets/export for details.
DOI: 10.15468/dl.4tuz8t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Restio dispar Mast.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.5808 -24.13,35.5909 -24.0715,30.5701 -24.0715,30.5701 -28.5786,32.4847 -28.5786,32.55 -28.5222,33.0346 -26.8668,32.9741 -26.7838,33.0415 -26.059,32.9304 -26.0011,32.7994 -26.1281,32.6834 -26.0015,32.813 -25.8728,32.8513 -25.7166,33.3048 -25.3731,35.1489 -24.6699,35.5808 -24.13))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052702-250525065834625/datasets/export for details.
DOI: 10.15468/dl.ykztaw
title: Occurrence Download

description: A dataset containing 3782 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Giraffa tippelskirchi Matschie, 1898"
 ]
}

 The dataset includes 3782 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052703-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7303/syn64720237
title: Somatic Variants - Strelka - WES