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

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pitar helenae",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011587-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17876/musewide/dr.1/12691
title: Object GUO_ID 12691 in candels-cdfs-06

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/12692
title: Object GUO_ID 12692 in candels-cdfs-11

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/12693
title: Object GUO_ID 12693 in candels-cdfs-43

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/12698
title: Object GUO_ID 12698 in candels-cdfs-43

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/12701
title: Object GUO_ID 12701 in candels-cdfs-30

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.15468/dl.sx4e3d
title: Occurrence Download

description: A dataset containing 700 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Estudios de identificación de fauna silvestre en el proyecto CPF Cusiana"
 ]
}

 The dataset includes 700 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011588-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17876/musewide/dr.1/12702
title: Object GUO_ID 12702 in candels-cdfs-34

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/12707
title: Object GUO_ID 12707 in candels-cdfs-45

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/12710
title: Object GUO_ID 12710 in candels-cdfs-11

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/12720
title: Object GUO_ID 12720 in candels-cdfs-34

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/12723
title: Object GUO_ID 12723 in candels-cdfs-11

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/12725
title: Object GUO_ID 12725 in candels-cdfs-30

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/12730
title: Object GUO_ID 12730 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/12733
title: Object GUO_ID 12733 in candels-cdfs-34

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/12735
title: Object GUO_ID 12735 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/12737
title: Object GUO_ID 12737 in candels-cdfs-06

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/12740
title: Object GUO_ID 12740 in candels-cdfs-45

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/12742
title: Object GUO_ID 12742 in candels-cdfs-43

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/12744
title: Object GUO_ID 12744 in candels-cdfs-45

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/12746
title: Object GUO_ID 12746 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/12749
title: Object GUO_ID 12749 in candels-cdfs-34

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/12750
title: Object GUO_ID 12750 in candels-cdfs-30

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/12752
title: Object GUO_ID 12752 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.15468/dl.suad5r
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chenopodium hircinum",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011590-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17876/musewide/dr.1/12755
title: Object GUO_ID 12755 in candels-cdfs-30

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/12757
title: Object GUO_ID 12757 in candels-cdfs-45

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.15468/dl.f57bce
title: Occurrence Download

description: A dataset containing 26915 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ludwigia grandiflora (Michx.) Greuter & Burdet, Ludwigia peploides (Kunth) P.H.Raven)",
 "Country is one of (Belgium, France)",
 "Year is greater than or equal to 1900",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 26915 records from 513 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050383-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.va9njj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helichrysum bellidiastrum Moeser",
 "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/0050384-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.27889818
title: Chromosome-level genome assemblies of the migratory locust and the desert locust

description: A combination of three sequencing technologies including long-read sequencing (PacBio Sequel), optical mapping (Bionano Saphyr), and chromosome conformation capture technique based on proximity ligation (Hi-C) was applied to construct the chromosome-level genome assembly of the migratory locust (Locusta migratoria). Moreover, short-read DNA-seq (Illumina Data) both from female and male locusts was used to correct assembly errors. To predict protein-coding genes, we further generated short-read RNA-seq and PacBio ISO-seq cDNA data obtained from 11 different tissues and organs of the migrator locust. To track the chromosome dynamics of X chromosome within Orthoptera, we also generated a chromosome-level genome of the desert locust (Schistocerca gregaria) using Nanopore long-read sequencing and Illumina data with Hi-C scaffolding.
DOI: 10.6084/m9.figshare.27889818.v1
title: Chromosome-level genome assemblies of the migratory locust and the desert locust

description: A combination of three sequencing technologies including long-read sequencing (PacBio Sequel), optical mapping (Bionano Saphyr), and chromosome conformation capture technique based on proximity ligation (Hi-C) was applied to construct the chromosome-level genome assembly of the migratory locust (Locusta migratoria). Moreover, short-read DNA-seq (Illumina Data) both from female and male locusts was used to correct assembly errors. To predict protein-coding genes, we further generated short-read RNA-seq and PacBio ISO-seq cDNA data obtained from 11 different tissues and organs of the migrator locust. To track the chromosome dynamics of X chromosome within Orthoptera, we also generated a chromosome-level genome of the desert locust (Schistocerca gregaria) using Nanopore long-read sequencing and Illumina data with Hi-C scaffolding.
DOI: 10.15468/dl.rfeffw
title: Occurrence Download

description: A dataset containing 26915 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ludwigia grandiflora (Michx.) Greuter & Burdet, Ludwigia peploides (Kunth) P.H.Raven)",
 "Country is one of (Belgium, France)",
 "Year is greater than or equal to 1900",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 26915 records from 513 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050385-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4p9fh7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helichrysum bellidiastrum Moeser",
 "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/0050386-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.29335532
title: Dataset of "<b>Natural-Language-Interfaced Robotic Synthesis for AI-Copilot-Assisted Exploration of Inorganic Materials</b>"

description: The automation of chemical synthesis presents opportunities to enhance experimental reproducibility and accelerate discovery. Traditional closed-loop approaches, while effective in specific domains, are often constrained by rigid workflows and the requirement for specialized expertise. Here, we introduce a chemical robotic explorer integrated with an artificial intelligence (AI) copilot to enable more flexible and adaptive synthesis, simplifying the process from inspiration to experimentation. This modular platform uses a large language model (LLM) to map natural language synthetic descriptions to executable unit operations, including temperature control, stirring, liquid and solid handling, filtration, etc. By integrating AI-driven literature searches, real-time experimental design, conversational human-AI interaction, and feedback-based optimization, we demonstrate its capabilities in successfully synthesizing 13 compounds across four distinct classes of inorganic materials: coordination complexes, metal-organic frameworks, nanoparticles, and polyoxometalates. Notably, this approach enabled the discovery of a previously unreported family of Mn-W polyoxometalate clusters, showing the potential of AI-enhanced robotics as a generalizable and adaptable platform for materials innovation. Here is the dataset in this work.
DOI: 10.6084/m9.figshare.29335532.v1
title: Dataset of "<b>Natural-Language-Interfaced Robotic Synthesis for AI-Copilot-Assisted Exploration of Inorganic Materials</b>"

description: The automation of chemical synthesis presents opportunities to enhance experimental reproducibility and accelerate discovery. Traditional closed-loop approaches, while effective in specific domains, are often constrained by rigid workflows and the requirement for specialized expertise. Here, we introduce a chemical robotic explorer integrated with an artificial intelligence (AI) copilot to enable more flexible and adaptive synthesis, simplifying the process from inspiration to experimentation. This modular platform uses a large language model (LLM) to map natural language synthetic descriptions to executable unit operations, including temperature control, stirring, liquid and solid handling, filtration, etc. By integrating AI-driven literature searches, real-time experimental design, conversational human-AI interaction, and feedback-based optimization, we demonstrate its capabilities in successfully synthesizing 13 compounds across four distinct classes of inorganic materials: coordination complexes, metal-organic frameworks, nanoparticles, and polyoxometalates. Notably, this approach enabled the discovery of a previously unreported family of Mn-W polyoxometalate clusters, showing the potential of AI-enhanced robotics as a generalizable and adaptable platform for materials innovation. Here is the dataset in this work.
DOI: 10.15468/dl.p4wq3f
title: Occurrence Download

description: A dataset containing 22411 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 Accipiter badius (Gmelin, 1788)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 22411 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050387-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15679943
title: DR AERRI
DOI: 10.5281/zenodo.15679944
title: DR AERRI
DOI: 10.15468/dl.ntxu6e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helichrysum bellidiastrum Moeser",
 "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 ((15.6372 -28.0032,16.2782 -28.5786,20.509 -28.5786,20.509 -24.0715,15.4933 -24.0715,15.4945 -24.1257,16.0509 -25.6631,15.6372 -28.0032))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050389-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.14182610
title: Dataset of "Advanced machine learning techniques for State-of-Health estimation in lithium-ion batteries: A comparative study"

description: This research focuses on State-of-Health (SOH) estimation of lithium-ion (Li-ion) batteries to enhance lifespan and reliability. Using Samsung INR18650-35E cells, 600 cycles were analyzed with machine learning (ML) techniques, including Gaussian Process Regression (GPR), Support Vector Regression (SVR), Feed-Forward Neural Network (FFNN) and Adaptive Neuro-Fuzzy Inference System (ANFIS). Input features from charging and discharging cycles were selected with Pearson Correlation Analysis (PCA) and Exhaustive Search (ES) to optimize inputs for each ML method. Models were tested on datasets of varying sizes to evaluate performance and overfitting, including an experiment where SOH estimation of one battery was performed using training data from another. The findings highlight each model's strengths and limitations, guiding their application in battery health prediction.
DOI: 10.5281/zenodo.15657829
title: Dataset of "Advanced machine learning techniques for State-of-Health estimation in lithium-ion batteries: A comparative study"

description: This research focuses on State-of-Health (SOH) estimation of lithium-ion (Li-ion) batteries to enhance lifespan and reliability. Using Samsung INR18650-35E cells, 600 cycles were analyzed with machine learning (ML) techniques, including Gaussian Process Regression (GPR), Support Vector Regression (SVR), Feed-Forward Neural Network (FFNN) and Adaptive Neuro-Fuzzy Inference System (ANFIS). Input features from charging and discharging cycles were selected with Pearson Correlation Analysis (PCA) and Exhaustive Search (ES) to optimize inputs for each ML method. Models were tested on datasets of varying sizes to evaluate performance and overfitting, including an experiment where SOH estimation of one battery was performed using training data from another. The findings highlight each model's strengths and limitations, guiding their application in battery health prediction.
DOI: 10.15468/dl.ketgmr
title: Occurrence Download

description: A dataset containing 843871 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Living Specimen, Occurrence evidence)",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (ff90b050-c256-11db-b71b-b8a03c50a862, 90fd6680-349f-11d8-aa2d-b8a03c50a862, 3c6ad080-bdbe-11da-ac59-b8a03c50a862, 8a471700-4ce8-11db-b80e-b8a03c50a862, 174c6da2-e002-42fe-9f56-2f9d670240f4, ae447c50-b8a8-11d8-92a4-b8a03c50a862, 814cdfb5-d4f8-4453-815f-ea5df98e76bf)",
 "TaxonKey is one of (Ericales, Magnoliales, Fabales, Fagales, Pinales, Rosales, Caryophyllales, Arecales, Asparagales)",
 "Year 1701-2025"
 ]
}

 The dataset includes 843871 records from 254 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050373-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zdg9r3
title: Occurrence Download

description: A dataset containing 6057 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is 2018_nsmk_biodiversity_pi"
 ]
}

 The dataset includes 6057 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050391-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.twgb63
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helichrysum bellidiastrum Moeser",
 "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 ((15.4784 -23.4046,15.4933 -24.0715,20.509 -24.0715,20.509 -24.0455,20.0952 -23.5072,19.9968 -23.017,19.7843 -22.5405,19.1988 -21.8785,18.5972 -21.5447,17.8859 -21.3993,17.1626 -21.4805,16.5332 -21.7596,16.1257 -22.0882,15.8234 -22.4662,15.606 -22.8993,15.4784 -23.4046))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050392-250525065834625/datasets/export for details.
DOI: 10.15468/dl.f4he72
title: Occurrence Download

description: A dataset containing 1324639 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Potentilla norvegica L., Campanula rotundifolia L., Dianthus deltoides L., Lathyrus pratensis L., Ajuga reptans L.)",
 "Geometry POLYGON ((-180 45.53015, 180 45.53015, 180 83.62313, -180 83.62313, -180 45.53015))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "CoordinateUncertaintyInMeters is less than or equal to 50000"
 ]
}

 The dataset includes 1324639 records from 1764 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050377-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sfe8vp
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arthrospira ardissonei Forti, 1907"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004016-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/9725828
title: Netflix Facebook user Comments-Sentences for LLM
DOI: 10.15468/dl.9x9vbh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anabaina pseudoscillatoria Bory de Saint Vincent"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004018-241024112534372/datasets/export for details.
DOI: 10.15468/dl.a4q33r
title: Occurrence Download

description: A dataset containing 116 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anacystis aeruginosa"
 ]
}

 The dataset includes 116 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004020-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.swyx33
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arthrospira gomontiana Setchell, 1895"
 ]
}

 The dataset includes 18 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004019-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hptx6q
title: Occurrence Download

description: A dataset containing 139858 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-71.6673 -33.07834, -71.32662 -33.07834, -71.32662 -32.98321, -71.6673 -32.98321, -71.6673 -33.07834))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 139858 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003996-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.agm5dj
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anacystis compacta Gardner"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004021-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gh6r3e
title: Occurrence Download

description: A dataset containing 305 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arthrospira jenneri Stizenb. ex Gomont"
 ]
}

 The dataset includes 305 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004022-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.