cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14705940
title: TMbed: transmembrane proteins predicted through language model embeddings  - Precomputed Predictions

description: We provide precomputed predictions for the human proteome and for UniProtKB/Swiss-Prot.



Human (21-04-2022)

UniProtKB/Swiss-Prot (11-05-2022)


Data Format

Regular text file with single letters encoding predicted residue classes.In 3-line format, every protein is represented by three lines: header, sequence, labels.



B: Transmembrane beta strand (IN-->OUT orientation)

b: Transmembrane beta strand (OUT-->IN orientation)

H: Transmembrane alpha helix (IN-->OUT orientation)

h: Transmembrane alpha helix (OUT-->IN orientation)

S: Signal peptide

.: Non-Transmembrane
DOI: 10.5281/zenodo.14705941
title: TMbed: transmembrane proteins predicted through language model embeddings  - Precomputed Predictions

description: We provide precomputed predictions for the human proteome and for UniProtKB/Swiss-Prot.



Human (21-04-2022)

UniProtKB/Swiss-Prot (11-05-2022)


Data Format

Regular text file with single letters encoding predicted residue classes.In 3-line format, every protein is represented by three lines: header, sequence, labels.



B: Transmembrane beta strand (IN-->OUT orientation)

b: Transmembrane beta strand (OUT-->IN orientation)

H: Transmembrane alpha helix (IN-->OUT orientation)

h: Transmembrane alpha helix (OUT-->IN orientation)

S: Signal peptide

.: Non-Transmembrane
DOI: 10.5281/zenodo.14706259
title: ESG and Family Involvement

description: ESG scores came from London Stock Exchange Group’s database. Family involvement characteristics were coded based on content from publicly available documents (e.g., proxies and 10Ks).
DOI: 10.5281/zenodo.14706260
title: ESG and Family Involvement

description: ESG scores came from London Stock Exchange Group’s database. Family involvement characteristics were coded based on content from publicly available documents (e.g., proxies and 10Ks).
DOI: 10.15468/dl.gzqcuj
title: Occurrence Download

description: A dataset containing 26463 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (South Africa, Lesotho, Eswatini)",
 "TaxonKey is one of (Accipiter melanoleucus A.Smith, 1830)",
 "BasisOfRecord is one of (Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "OccurrenceStatus is Present",
 "DistanceFromCentroidInMeters is greater than or equal to 2000"
 ]
}

 The dataset includes 26463 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004723-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/rwh8kjzdch.1
title: Resistance Spot Welding Insights: A Dataset Integrating Process Parameters, Infrared, and Surface Imaging

description: The database serves as comprehensive record of the welding spot process, including - The monitor of crucial process parameters such as current and force during the nugget formation. - Record of input parameters such as current, welding time, applied force to the electrodes, and characteristics of the material used as thickness and material type. - Welding output of as the mechanical resistance and nugget diameter, along with its corresponding classification. Additionally, images of the melting point (nugget) were taken with a thermographic camera and digital camera to link the relationship between input parameters for each unit build.
DOI: 10.17632/rwh8kjzdch.2
title: Resistance Spot Welding Insights: A Dataset Integrating Process Parameters, Infrared, and Surface Imaging

description: The database serves as comprehensive record of the welding spot process, including 
- The monitor of crucial process parameters such as current and force during the nugget formation.
- Record of input parameters such as current, welding time, applied force to the electrodes, and characteristics of the material used as thickness and material type. 
- Welding output of as the mechanical resistance and nugget diameter, along with its corresponding classification.
Additionally, images of the melting point (nugget) were taken with a thermographic camera and digital camera to link the relationship between input parameters for each unit build.
DOI: 10.17632/rwh8kjzdch.3
title: Resistance Spot Welding Insights: A Dataset Integrating Process Parameters, Infrared, and Surface Imaging

description: The database serves as comprehensive record of the welding spot process, including 
- The monitor of crucial process parameters such as current and force during the nugget formation.
- Record of input parameters such as current, welding time, applied force to the electrodes, and characteristics of the material used as thickness and material type. 
- Welding output of as the mechanical resistance and nugget diameter, along with its corresponding classification.
Additionally, images of the melting point (nugget) were taken with a thermographic camera and digital camera to link the relationship between input parameters for each unit build.
DOI: 10.17632/6hk8xpc2yd.1
title: Table S1

description: Table S1. Values of inhalation risk levels for the four organizations ATSDR, Health Canada, RIVM and U.S. EPA.
DOI: 10.17632/rns3s3hpzf.1
title: Research on usability evaluation of self service terminal in Chinese general hospitals using grounded theory and AHP

description: Objective: To examine the usability of self-service terminals in Chinese hospitals, focusing on user experience issues related to human-machine interaction within the hospital information system (HIS).
Method: Utilizing grounded theory, this study generated and encoded qualitative data concerning user interaction needs with hospital self-service terminals. The Analytic Hierarchy Process (AHP) was employed to determine the importance weights of factors influencing user experience, enhancing the framework’s completeness. 
Results: This research identified critical usability factors such as Effectiveness, Learnability, Universality, Practicability, and Security. These factors, comprising 2-3 sub-factors each, totaling 12, significantly influence the user experience with hospital self-service terminals. An ELUPS model, a user-centered usability evaluation system, was developed to sustainably enhance HIS integration. 
Conclusion: This study advances a comprehensive methodological approach for constructing usability evaluation systems through grounded theory. The findings offer theoretical guidance for the development of tangible self-service applications in hospital HIS and provide a theoretical framework for ensuring sustainable user access to self-service terminals. 
Keywords: hospital information system; Human-computer interaction; usability evaluation; user experience; grounded theory; AHP (The Analytic Hierarchy Process)
DOI: 10.17632/ycfc8pb3r9.1
title: Table S1

description: Table S1. Method detection and quantification limits calculated on the basis of LOD and LOQ.
DOI: 10.17632/ycfc8pb3r9.2
title: Table S2

description: Table S2. Method detection and quantification limits calculated on the basis of LOD and LOQ.
DOI: 10.15468/dl.j5tcub
title: Occurrence Download

description: A dataset containing 323 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "Geometry POLYGON((-38.5435 -13.00522,-38.5435 -13.01533,-38.50357 -13.0214,-38.46767 -13.02089,-38.43734 -13.00117,-38.39488 -12.96781,-38.37112 -12.95669,-38.35747 -12.9668,-38.32007 -12.94152,-38.29681 -12.90513,-38.34686 -12.8935,-38.34686 -12.86671,-38.34938 -12.83082,-38.37972 -12.81565,-38.41005 -12.85862,-38.45655 -12.8197,-38.45807 -12.78987,-38.498 -12.78077,-38.50963 -12.80099,-38.48031 -12.84447,-38.53238 -12.92434,-38.51165 -12.94759,-38.5435 -13.00522))",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Anthocerotophyta, Bryophyta, Marchantiophyta)"
 ]
}

 The dataset includes 323 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004724-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14031504
title: Data for 'Cosmology with Binary Neutron Stars: Does Mass-Redshift Correlation Matter?'

description: The code is available at the following GitHub link: https://github.com/SoumendraRoy/RedevolBNS

To generate the plots in the paper, see: https://github.com/SoumendraRoy/RedevolBNS/tree/main/Make_Plots

A frozen version of the Make_Plots is included here.

Description of the files:



Cosmo_Plots.ipynb, Pop_Plots.ipynb : Jupyter notebooks containing all plots in the main text.

Appendix_Plots.ipynb, All_Contours.ipynb : Jupyter notebooks containing all plots in Appendix.

inference_marginal_fiducial.h5, inference_full_fiducial.h5 : The samples of the Hubble constant and dark matter density for the fiducial injected population, with uncorrelated and correlated mass-redshift populations, respectively.

inference_marginal_MM.h5, inference_full_MM.h5 : The samples of the Hubble constant and dark matter density for the Mandel-Müller injected population, with uncorrelated and correlated mass-redshift populations, respectively.

inference_full_result_Uncorrelated.h5, inference_full_result_Injected.h5 : The samples of the Hubble constant and dark matter density for the fiducial injected population, with uncorrelated and correlated mass-redshift populations, respectively for varying number of detections.

simulation.h5 : The injected mass, redshift samples for different population synthesis variations.

compare_pop.h5, variant_pop.h5 : Comparison of different population synthesis variations.

gmm.h5 : Gaussian mixture model fit of the fiducial and Mandel-Müller injected population.
DOI: 10.5281/zenodo.14031505
title: Data for 'Cosmology with Binary Neutron Stars: Does the Redshift Evolution of the Mass Function Matter?'

description: The code is available at the following GitHub link: https://github.com/SoumendraRoy/RedevolBNS

To generate the plots in the paper, see: https://github.com/SoumendraRoy/RedevolBNS/tree/main/Make_Plots
DOI: 10.5281/zenodo.14704635
title: Data for 'Cosmology with Binary Neutron Stars: Does Mass-Redshift Correlation Matter?'

description: The code is available at the following GitHub link: https://github.com/SoumendraRoy/RedevolBNS

To generate the plots in the paper, see: https://github.com/SoumendraRoy/RedevolBNS/tree/main/Make_Plots

A frozen version of the Make_Plots is included here.

Description of the files:



Cosmo_Plots.ipynb, Pop_Plots.ipynb : Jupyter notebooks containing all plots in the main text.

Appendix_Plots.ipynb, All_Contours.ipynb : Jupyter notebooks containing all plots in Appendix.

inference_marginal_fiducial.h5, inference_full_fiducial.h5 : The samples of the Hubble constant and dark matter density for the fiducial injected population, with uncorrelated and correlated mass-redshift populations, respectively.

inference_marginal_MM.h5, inference_full_MM.h5 : The samples of the Hubble constant and dark matter density for the Mandel-Müller injected population, with uncorrelated and correlated mass-redshift populations, respectively.

inference_full_result_Uncorrelated.h5, inference_full_result_Injected.h5 : The samples of the Hubble constant and dark matter density for the fiducial injected population, with uncorrelated and correlated mass-redshift populations, respectively for varying number of detections.

simulation.h5 : The injected mass, redshift samples for different population synthesis variations.

compare_pop.h5, variant_pop.h5 : Comparison of different population synthesis variations.

gmm.h5 : Gaussian mixture model fit of the fiducial and Mandel-Müller injected population.
DOI: 10.17632/5cvxh9r4kc.1
title: Identification of novel hub gene and biological pathways associated with ferroptosis in In-Stent Restenosis

description: The current study aims to reveal the molecular targets for neointimal hyperplasia through integrated analysis of data from gene expression omnibus (GEO) databases and single-cell sequencing (scRNA-Seq). The gene expression data used for the study and analysis were obtained from the GEO database (https://www.ncbi.nlm.nih.gov/). The GSE46560 dataset included mRNA sequencing data from 11 restenosis human samples and 11 non-restenosis human samples of blood. The GSE60959 dataset included mircoRNA (miRNA) sequencing data from 10 plasma samples of patients with ISR. The GSE182225 dataset included lncRNA sequencing data from serum samples of 3 restenosis patients and 3 non-restenosis donors. The list of ferroptosis related genes was obtained from Ferr Db V2 database (http://www.zhounan.org/ferrdb/current/). Using a rat carotid artery balloon injury model to simulate restenosis after PCI. The common carotid arteries were collected for single-cell sequencing. We screened ten common differentially expressed genes (Co-DEGs) including BID, SP1, NCF2, HERPUD1, RICTOR, LAMP2, CAT, ACSL1, CS, and ANO6 from the GEO and FerrDb V2. GO/KEGG analyses indicated that metabolic reactions, particularly glyoxylate and dicarboxylate metabolism pathways, are the main molecular events. Immune infiltration analysis showed significant correlations between the expression of Co-DEGs and the infiltration of macrophages, dendritic cells, eosinophils, and neutrophils. Moreover, we identified SP1 as a potential therapeutic target associated with ferroptosis in ISR and constructed a lncRNA-miRNA-SP1 regulatory network. Using scRNA-Seq data to validate the expression of Co-DEGs in the neointima, we found that metabolic pathways such as carbon metabolism, peroxisomes, and reactive oxygen species were enriched. Immune infiltration examined the relationship between Co-DEGs and immune cells, revealing negative correlation between SP1 and neutrophils, and positive correlation between BID and macrophages.
DOI: 10.15468/dl.j3b7q2
title: Occurrence Download

description: A dataset containing 3245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (South Africa, Lesotho, Eswatini)",
 "TaxonKey is one of (Sterna sandvicensis Latham, 1787)",
 "BasisOfRecord is one of (Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "OccurrenceStatus is Present",
 "DistanceFromCentroidInMeters is greater than or equal to 2000"
 ]
}

 The dataset includes 3245 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004725-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v52kv6
title: Occurrence Download

description: A dataset containing 32221 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salix hastata L."
 ]
}

 The dataset includes 32221 records from 310 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004726-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bz4uay
title: Occurrence Download

description: A dataset containing 253 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Vittadinia eremaea N.T.Burb.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 253 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003748-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p8cdrz
title: Occurrence Download

description: A dataset containing 234087 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is one of (Aponogeton distachyos L.f., Arthurdendyus triangulatus (Dendy, 1895), Cabomba caroliniana A.Gray, Callosciurus finlaysonii (Horsfield, 1823), Cherax destructor Clark, 1936, Corvus splendens Vieillot, 1817, Crassula helmsii (Kirk) Cockayne, Elodea densa (Planch.) Casp., Eriocheir sinensis H.Milne Edwards, 1853, Erythranthe guttata (DC.) G.L.Nesom, Faxonius immunis (Hagen, 1870), Faxonius juvenilis (Hagen, 1870), Faxonius rusticus (Girard, 1852), Faxonius virilis (Hagen, 1870), Gambusia affinis (Baird & Girard, 1853), Heracleum mantegazzianum Sommier & Levier, Heracleum persicum Desf. ex Fisch., C.A.Mey. & Avé-Lall., Heracleum pubescens (Hoffm.) M.Bieb., Houttuynia cordata Thunb., Hydrocotyle ranunculoides L.f., Impatiens glandulifera Royle, Koenigia polystachya (Wall. ex Meisn.) T.M.Schust. & Reveal, Lagarosiphon major (Ridl.) Moss, Lepomis gibbosus (Linnaeus, 1758), Limnoperna fortunei (Dunker, 1857), Ludwigia grandiflora (Michx.) Greuter & Burdet, Ludwigia peploides (Kunth) P.H.Raven, Lysichiton americanus Hultén & H.St.John, Morone americana (Gmelin, 1789), Muntiacus reevesi (Ogilby, 1839), Myriophyllum aquaticum (Vell.) Verdc., Myriophyllum heterophyllum Michx., Pacifastacus leniusculus (Dana, 1852), Petasites japonicus (Siebold & Zucc.) Maxim., Pontederia cordata L., Procambarus acutus (Girard, 1852), Procambarus clarkii (Girard, 1852), Procambarus virginalis Lyko, 2017, Pseudorasbora parva (Temminck & Schlegel, 1846), Pycnonotus cafer (Linnaeus, 1766), Saururus cernuus L., Sciurus carolinensis Gmelin, 1788, Sciurus niger Linnaeus, 1758, Solenopsis invicta Buren, 1972, Solenopsis richteri Forel, 1909, Threskiornis aethiopicus (Latham, 1790), Vespa velutina Lepeletier, 1836, Zizania latifolia (Griseb.) Hance ex F.Muell.)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 234087 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003737-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15232844
title: PERIODONTIUM AND CARDIOVASCULAR DISEASES: PREVALENCE, ETIOLOGY, AND PATHOGENESIS
DOI: 10.5281/zenodo.15232845
title: PERIODONTIUM AND CARDIOVASCULAR DISEASES: PREVALENCE, ETIOLOGY, AND PATHOGENESIS
DOI: 10.5281/zenodo.15155395
title: Table 1 in Terpene chemotypes in Gossypium hirsutum (wild cotton) from the Yucatan Peninsula, Mexico

description: Table 1 Relative abundance of monoterpenes and sesquiterpenes used in analyses grouped by geographic zones. Compounds marked with an asterisk were verified by comparison to authentic standards.
CompoundRICelestún (Far West)Sisal (West)Chicxulub (Centre)Coloradas (East)Composition(N =Composition(N =Composition(N =Composition(N =(%)86)(%)71)(%)80)(%)116)MeanSEMeanSEMeanSEMeanSEMonoterpenesα- Thujene9290.10.00.20.00.30.00.40.0α- Pinene*93826.30.424.00.524.50.622.80.5Camphene9550.40.00.40.00.50.00.40.0Sabinene9771.40.11.40.11.50.11.30.0β- Pinene9834.80.14.60.14.80.14.40.1β- Myrcene*98920.90.517.40.620.40.618.70.4α- Phellandrene10080.10.00.10.00.20.00.20.0α- Terpinene10200.00.00.10.00.20.00.20.0p-Cymene10280.00.00.20.00.20.00.20.0Limonene*10331.60.12.10.22.70.23.00.1β- Phellandrene10351.20.01.00.10.90.10.70.1β- Ocimene10472.50.33.20.33.00.24.50.2Isoterpinolene10570.10.00.10.00.10.00.00.0γ- Terpinene*10630.70.22.70.54.40.75.90.4Terpinolene10900.00.00.20.00.30.00.30.0Citronellal11550.00.00.00.00.00.00.00.0Bornyl acetate12880.00.00.00.00.00.00.10.0Sesquiterpenesγ- Elemene13470.80.00.90.00.80.00.60.0α- Cubebene13590.00.00.10.00.00.00.00.0α- Copaene13890.20.00.40.10.10.00.20.0β- Elemene14010.10.00.20.00.10.00.10.0α- Gurjunene14250.10.00.10.00.10.00.10.0β- Caryophyllene*143223.50.422.60.619.50.522.60.3β- Gurjunene14480.00.00.00.00.00.00.00.0Alloaromadendrene14530.40.00.60.10.50.00.30.0Humulene14656.20.16.10.25.30.25.90.1Unknown #114730.30.00.30.00.40.00.20.0Bicyclogermacrene14986.80.48.50.57.70.55.30.2β- Acorneol15190.00.00.00.00.00.00.00.0β- Cadinene15240.30.00.50.00.30.00.20.0Germacrene D-4-ol16030.10.00.20.00.10.00.00.0Spathulenol16100.10.00.10.00.10.00.10.0Unknown #216280.00.00.10.00.00.00.00.0Unknown #316680.10.00.20.00.10.00.00.0Farnesol (E,E)17490.60.00.90.10.40.00.60.0Unknown #420330.30.00.50.00.40.00.50.0
description: Published as part of Clancy, Mary V., Mamin, Marine, Flückiger, Galien, Quijano-Medina, Teresa, P, Biiniza, erez-Nino ˜, Abdala-Roberts, Luis, Turlings, Ted C. J. & Bustos-Segura, Carlos, 2023, Terpene chemotypes in Gossypium hirsutum (wild cotton) from the Yucatan Peninsula, Mexico, pp. 3 in Phytochemistry (113454) 205 on page 3, DOI: 10.1016/j.phytochem.2022.113454, http://zenodo.org/record/8160599
DOI: 10.5281/zenodo.15155396
title: Table 1 in Terpene chemotypes in Gossypium hirsutum (wild cotton) from the Yucatan Peninsula, Mexico

description: Table 1 Relative abundance of monoterpenes and sesquiterpenes used in analyses grouped by geographic zones. Compounds marked with an asterisk were verified by comparison to authentic standards.
CompoundRICelestún (Far West)Sisal (West)Chicxulub (Centre)Coloradas (East)Composition(N =Composition(N =Composition(N =Composition(N =(%)86)(%)71)(%)80)(%)116)MeanSEMeanSEMeanSEMeanSEMonoterpenesα- Thujene9290.10.00.20.00.30.00.40.0α- Pinene*93826.30.424.00.524.50.622.80.5Camphene9550.40.00.40.00.50.00.40.0Sabinene9771.40.11.40.11.50.11.30.0β- Pinene9834.80.14.60.14.80.14.40.1β- Myrcene*98920.90.517.40.620.40.618.70.4α- Phellandrene10080.10.00.10.00.20.00.20.0α- Terpinene10200.00.00.10.00.20.00.20.0p-Cymene10280.00.00.20.00.20.00.20.0Limonene*10331.60.12.10.22.70.23.00.1β- Phellandrene10351.20.01.00.10.90.10.70.1β- Ocimene10472.50.33.20.33.00.24.50.2Isoterpinolene10570.10.00.10.00.10.00.00.0γ- Terpinene*10630.70.22.70.54.40.75.90.4Terpinolene10900.00.00.20.00.30.00.30.0Citronellal11550.00.00.00.00.00.00.00.0Bornyl acetate12880.00.00.00.00.00.00.10.0Sesquiterpenesγ- Elemene13470.80.00.90.00.80.00.60.0α- Cubebene13590.00.00.10.00.00.00.00.0α- Copaene13890.20.00.40.10.10.00.20.0β- Elemene14010.10.00.20.00.10.00.10.0α- Gurjunene14250.10.00.10.00.10.00.10.0β- Caryophyllene*143223.50.422.60.619.50.522.60.3β- Gurjunene14480.00.00.00.00.00.00.00.0Alloaromadendrene14530.40.00.60.10.50.00.30.0Humulene14656.20.16.10.25.30.25.90.1Unknown #114730.30.00.30.00.40.00.20.0Bicyclogermacrene14986.80.48.50.57.70.55.30.2β- Acorneol15190.00.00.00.00.00.00.00.0β- Cadinene15240.30.00.50.00.30.00.20.0Germacrene D-4-ol16030.10.00.20.00.10.00.00.0Spathulenol16100.10.00.10.00.10.00.10.0Unknown #216280.00.00.10.00.00.00.00.0Unknown #316680.10.00.20.00.10.00.00.0Farnesol (E,E)17490.60.00.90.10.40.00.60.0Unknown #420330.30.00.50.00.40.00.50.0
description: Published as part of Clancy, Mary V., Mamin, Marine, Flückiger, Galien, Quijano-Medina, Teresa, P, Biiniza, erez-Nino ˜, Abdala-Roberts, Luis, Turlings, Ted C. J. & Bustos-Segura, Carlos, 2023, Terpene chemotypes in Gossypium hirsutum (wild cotton) from the Yucatan Peninsula, Mexico, pp. 3 in Phytochemistry (113454) 205 on page 3, DOI: 10.1016/j.phytochem.2022.113454, http://zenodo.org/record/8160599