cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16903003
title: Deep learning for flash drought prediction and interpretation

description: This dataset accompanies the paper 'Deep learning for flash drought prediction and interpretation'.

The code repository associated with this data is repository here: https://github.com/qianzhao0408/flash_drought_forecast_interpret_paper
DOI: 10.5281/zenodo.16903004
title: Deep learning for flash drought prediction and interpretation

description: This dataset accompanies the paper 'Deep learning for flash drought prediction and interpretation'.

The code repository associated with this data is repository here: https://github.com/qianzhao0408/flash_drought_forecast_interpret_paper
DOI: 10.5281/zenodo.16949258
title: Research data no. 2: Critical Knowledge Gaps for Shellfish Allergies: Insights from Global Market Presence and Trade of shellfish

description: Insight into IgE reactive allergens form edible molluscan species that are not registered within official WHO/IUIS allergen database.
DOI: 10.5281/zenodo.16949259
title: Research data no. 2: Critical Knowledge Gaps for Shellfish Allergies: Insights from Global Market Presence and Trade of shellfish

description: Insight into IgE reactive allergens form edible molluscan species that are not registered within official WHO/IUIS allergen database.
DOI: 10.71830/f5uxf2
title: Land Use Structure Germany 2013
title: Land use figures for administrative units in Germany

description: EN: The dataset describes the land use structure in Germany in 2013 comprehensively for the administrative levels of municipalities, municipal associations, districts and district-free cities, federal states, and Germany as a whole.

The Earth's surface is divided into three categories: settlement, transportation, and open space, which are further subdivided into subcategories. Each element of the Earth's surface is assigned precisely one land category at the lowest level of a hierarchically organized land use schema.

The dataset consists of geometrical data for the administrative levels from municipalities to the Federal Republic of Germany. For each spatial entity information on the amount of its land use is given by the proper attributes. 

Land-use categories are systematized according to a hierarchical scheme dividing the surface into subdivisions of three land use classes Settlement, Transportation, and Open space. 

The data is spatially structured according the administrative levels of Germany from municipalities to the federation.

&lt;br&gt;&lt;br&gt;
description: DE: Der Datensatz beschreibt die Flächennutzungsstruktur in Deutschland im Jahr 2013 umfassend für die Verwaltungsebenen Gemeinden, Gemeindeverbände, Kreise und kreisfreie Städte, Bundesländer und die Bundesrepublik Deutschland.

Die Erdoberfläche wird in die drei Kategorien Siedlung, Verkehr und Freiraum unterteilt, die wiederum in Unterkategorien gegliedert sind. Jedem Element der Erdoberfläche ist genau eine Flächenkategorie auf der ersten Ebene eines hierarchisch organisierten Landnutzungsschemas zugeordnet.

Der Datensatz besteht aus Geometriedaten für die Verwaltungsebenen von Gemeinden bis zur Bundesrepublik Deutschland. Für jede räumliche Einheit werden Informationen über den Umfang ihrer Landnutzung durch die entsprechenden Attribute gegeben.

Die Landnutzungskategorien werden nach einem hierarchischen Schema systematisiert, das die Fläche in die drei Landnutzungsklassen Siedlung, Verkehr und Freiraum gliedert.

Die Daten sind räumlich nach den Verwaltungsebenen Deutschlands von den Gemeinden bis zum Bund gegliedert.
description: ESRI ArcGIS Desktop, 10.8
description: IOER core data
description: Data processed for and provided by the the land use monitoring platform "Monitor of Settlement and Open Space Development" (IOER Monitor). Based on the land use data series indicators for the different administrative levels and raster resolutions are calculated regularly.
description: https://www.ioer-monitor.de/methodik/
DOI: 10.71830/xr67hs
title: Land Use Structure Germany 2014
title: Land use figures for administrative units in Germany

description: EN: The dataset describes the land use structure in Germany in 2014 comprehensively for the administrative levels of municipalities, municipal associations, districts and district-free cities, federal states, and Germany as a whole.

The Earth's surface is divided into three categories: settlement, transportation, and open space, which are further subdivided into subcategories. Each element of the Earth's surface is assigned precisely one land category at the lowest level of a hierarchically organized land use schema.

The dataset consists of geometrical data for the administrative levels from municipalities to the Federal Republic of Germany. For each spatial entity information on the amount of its land use is given by the proper attributes. 

Land-use categories are systematized according to a hierarchical scheme dividing the surface into subdivisions of three land use classes Settlement, Transportation, and Open space. 

The data is spatially structured according the administrative levels of Germany from municipalities to the federation.

&lt;br&gt;&lt;br&gt;
description: DE: Der Datensatz beschreibt die Flächennutzungsstruktur in Deutschland im Jahr 2014 umfassend für die Verwaltungsebenen Gemeinden, Gemeindeverbände, Kreise und kreisfreie Städte, Bundesländer und die Bundesrepublik Deutschland.

Die Erdoberfläche wird in die drei Kategorien Siedlung, Verkehr und Freiraum unterteilt, die wiederum in Unterkategorien gegliedert sind. Jedem Element der Erdoberfläche ist genau eine Flächenkategorie auf der ersten Ebene eines hierarchisch organisierten Landnutzungsschemas zugeordnet.

Der Datensatz besteht aus Geometriedaten für die Verwaltungsebenen von Gemeinden bis zur Bundesrepublik Deutschland. Für jede räumliche Einheit werden Informationen über den Umfang ihrer Landnutzung durch die entsprechenden Attribute gegeben.

Die Landnutzungskategorien werden nach einem hierarchischen Schema systematisiert, das die Fläche in die drei Landnutzungsklassen Siedlung, Verkehr und Freiraum gliedert.

Die Daten sind räumlich nach den Verwaltungsebenen Deutschlands von den Gemeinden bis zum Bund gegliedert.
description: https://www.ioer-monitor.de/methodik/
description: IOER core data
description: ESRI ArcGIS Desktop, 10.8
description: Data processed for and provided by the the land use monitoring platform "Monitor of Settlement and Open Space Development" (IOER Monitor). Based on the land use data series indicators for the different administrative levels and raster resolutions are calculated regularly.
DOI: 10.15468/dl.uaxgpn
title: Occurrence Download

description: A dataset containing 1433 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ulmus pumila",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1433 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046371-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16949320
title: Research data no. 1: Critical Knowledge and Diagnostic Gaps for Shellfish Allergies: Insights from Global Market Presence and Trade of Shellfish

description: Tropomyosin sequences were compared between different shellfish species by performing BLAST protein sequence alignment. Comparisons were conducted exclusively on complete sequences, whether derived at the protein level, transcript level, or inferred through homology.
DOI: 10.5281/zenodo.16949321
title: Research data no. 1: Critical Knowledge and Diagnostic Gaps for Shellfish Allergies: Insights from Global Market Presence and Trade of Shellfish

description: Tropomyosin sequences were compared between different shellfish species by performing BLAST protein sequence alignment. Comparisons were conducted exclusively on complete sequences, whether derived at the protein level, transcript level, or inferred through homology.
DOI: 10.15468/dl.t66gyp
title: Occurrence Download

description: A dataset containing 439 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Odonata",
 "Geometry POLYGON ((19.1382 11.0599, 10.1382 11.0599, 10.1382 2.0599, 19.1382 2.0599, 19.1382 11.0599))",
 "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)"
 ]
}

 The dataset includes 439 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046372-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16949119
title: Research data for the manuscript: Effects of polypropylene and polyethylene terephthalate microplastics on trypsin structure and function

description: Research data for the paper: Effects of polypropylene and polyethylene terephthalate microplastics on trypsin structure and function. Trypsin activity in the presence of MPs was determined in bulk, soft corona and hard corona with a small synthetic chromogenic substrate, Nα-Benzoyl-DL-arginine 4-nitroanilide hydrochloride (BAPNA). Mass of protein in hard corona was determined by densitometry after SDS PAGE analysis using Image J software. Data obtained from Bio Tek Synergy LX Multi-Mode Reader and Shimadzu UV/ViS 1800.
DOI: 10.5281/zenodo.16949120
title: Research data for the manuscript: Effects of polypropylene and polyethylene terephthalate microplastics on trypsin structure and function

description: Research data for the paper: Effects of polypropylene and polyethylene terephthalate microplastics on trypsin structure and function. Trypsin activity in the presence of MPs was determined in bulk, soft corona and hard corona with a small synthetic chromogenic substrate, Nα-Benzoyl-DL-arginine 4-nitroanilide hydrochloride (BAPNA). Mass of protein in hard corona was determined by densitometry after SDS PAGE analysis using Image J software. Data obtained from Bio Tek Synergy LX Multi-Mode Reader and Shimadzu UV/ViS 1800.
DOI: 10.15468/dl.kdv7sb
title: Occurrence Download

description: A dataset containing 725 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Metopograpsus frontalis"
 ]
}

 The dataset includes 725 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046373-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/unm2s7
title: Chapter 5: The paradox of progress

description: Chapter 5: The paradox of progress
DOI: 10.15468/dl.v3qs4j
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pauropoda",
 "Year 1999-2001",
 "Continent is Europe",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 18 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046374-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.78k37g
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pauropoda",
 "Year 2005-2007",
 "Continent is Europe",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 37 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046375-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/bgpi1w/ilpftw
title: OLCI_5000m.zip

description: :unav
DOI: 10.22008/fk2/bgpi1w/ccccug
title: MODIS_5000m.zip

description: :unav
DOI: 10.22008/fk2/bgpi1w
title: Greenland Albedo Data for LiquidICE

description: Albedo data for LiquidICE
DOI: 10.22008/fk2/bgpi1w/1mdq8q
title: AVHRR_5000m.zip

description: :unav
DOI: 10.15468/dl.mhmen7
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pauropoda",
 "Year 2011-2013",
 "Continent is Europe",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 19 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046378-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dqj8gg
title: Occurrence Download

description: A dataset containing 21198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Hydrilla verticillata"
 ]
}

 The dataset includes 21198 records from 358 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046377-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14272/gwvttyxyofswde-irciqmedsa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C21H32O4/c1-12(22)25-18-10-13-4-5-14-15-6-7-19(24)20(15,2)9-8-16(14)21(13,3)11-17(18)23/h13-18,23H,4-11H2,1-3H3/t13-,14-,15-,16-,17+,18-,20-,21-/m0/s1

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.14272/gwvttyxyofswde-irciqmedsa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C21H32O4/c1-12(22)25-18-10-13-4-5-14-15-6-7-19(24)20(15,2)9-8-16(14)21(13,3)11-17(18)23/h13-18,23H,4-11H2,1-3H3/t13-,14-,15-,16-,17+,18-,20-,21-/m0/s1

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR)
DOI: 10.14272/gwvttyxyofswde-irciqmedsa-n/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C21H32O4/c1-12(22)25-18-10-13-4-5-14-15-6-7-19(24)20(15,2)9-8-16(14)21(13,3)11-17(18)23/h13-18,23H,4-11H2,1-3H3/t13-,14-,15-,16-,17+,18-,20-,21-/m0/s1

description: dataset for mass spectrometry (MS)
DOI: 10.14272/gwvttyxyofswde-irciqmedsa-n/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C21H32O4/c1-12(22)25-18-10-13-4-5-14-15-6-7-19(24)20(15,2)9-8-16(14)21(13,3)11-17(18)23/h13-18,23H,4-11H2,1-3H3/t13-,14-,15-,16-,17+,18-,20-,21-/m0/s1

description: dataset for infrared absorption spectroscopy (IR)
DOI: 10.14272/ucfkjdpjudvamp-ptzllnsnsa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C25H37IO6/c1-14(27)30-13-25-12-21(26)22(31-15(2)28)11-17(25)5-6-18-19-7-8-23(32-16(3)29)24(19,4)10-9-20(18)25/h17-23H,5-13H2,1-4H3/t17-,18-,19-,20-,21+,22+,23-,24-,25+/m0/s1

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.14272/ucfkjdpjudvamp-ptzllnsnsa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C25H37IO6/c1-14(27)30-13-25-12-21(26)22(31-15(2)28)11-17(25)5-6-18-19-7-8-23(32-16(3)29)24(19,4)10-9-20(18)25/h17-23H,5-13H2,1-4H3/t17-,18-,19-,20-,21+,22+,23-,24-,25+/m0/s1

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR)
DOI: 10.14272/xnjozxwlefefex-dswgtcotsa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ((3S,5S,8R,9S,10S,13S,14S)-10,13-dimethylspiro[1,2,3,4,5,6,7,8,9,11,12,14,15,16-tetradecahydrocyclopenta[a]phenanthrene-17,2'-1,3-dioxolane]-3-ol)
title: InChI=1S/C21H34O3/c1-19-8-5-15(22)13-14(19)3-4-16-17(19)6-9-20(2)18(16)7-10-21(20)23-11-12-24-21/h14-18,22H,3-13H2,1-2H3/t14-,15-,16+,17-,18-,19-,20-/m0/s1

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.14272/xnjozxwlefefex-dswgtcotsa-n/chmo0000470
title: mass spectrometry (MS) ((3S,5S,8R,9S,10S,13S,14S)-10,13-dimethylspiro[1,2,3,4,5,6,7,8,9,11,12,14,15,16-tetradecahydrocyclopenta[a]phenanthrene-17,2'-1,3-dioxolane]-3-ol)
title: InChI=1S/C21H34O3/c1-19-8-5-15(22)13-14(19)3-4-16-17(19)6-9-20(2)18(16)7-10-21(20)23-11-12-24-21/h14-18,22H,3-13H2,1-2H3/t14-,15-,16+,17-,18-,19-,20-/m0/s1

description: dataset for mass spectrometry (MS)
DOI: 10.14272/xnjozxwlefefex-dswgtcotsa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ((3S,5S,8R,9S,10S,13S,14S)-10,13-dimethylspiro[1,2,3,4,5,6,7,8,9,11,12,14,15,16-tetradecahydrocyclopenta[a]phenanthrene-17,2'-1,3-dioxolane]-3-ol)
title: InChI=1S/C21H34O3/c1-19-8-5-15(22)13-14(19)3-4-16-17(19)6-9-20(2)18(16)7-10-21(20)23-11-12-24-21/h14-18,22H,3-13H2,1-2H3/t14-,15-,16+,17-,18-,19-,20-/m0/s1

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR)
DOI: 10.14272/xnjozxwlefefex-dswgtcotsa-n/chmo0000630
title: infrared absorption spectroscopy (IR) ((3S,5S,8R,9S,10S,13S,14S)-10,13-dimethylspiro[1,2,3,4,5,6,7,8,9,11,12,14,15,16-tetradecahydrocyclopenta[a]phenanthrene-17,2'-1,3-dioxolane]-3-ol)
title: InChI=1S/C21H34O3/c1-19-8-5-15(22)13-14(19)3-4-16-17(19)6-9-20(2)18(16)7-10-21(20)23-11-12-24-21/h14-18,22H,3-13H2,1-2H3/t14-,15-,16+,17-,18-,19-,20-/m0/s1

description: dataset for infrared absorption spectroscopy (IR)
DOI: 10.14272/bdglyifqhwphgi-uhfffaoysa-n.2
title: [(3,5-dimethylbenzoyl)oxy-phenyl-lambda3-iodanyl] 3,5-dimethylbenzoate
title: InChI=1S/C24H23IO4/c1-16-10-17(2)13-20(12-16)23(26)28-25(22-8-6-5-7-9-22)29-24(27)21-14-18(3)11-19(4)15-21/h5-15H,1-4H3

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367].
 The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]:
 InChI descriptor[cheminf_000113]: InChI=1S/C24H23IO4/c1-16-10-17(2)13-20(12-16)23(26)28-25(22-8-6-5-7-9-22)29-24(27)21-14-18(3)11-19(4)15-21/h5-15H,1-4H3, and canonical SMILES descriptor[cheminf_000007]: Cc1cc(C)cc(c1)C(=O)O[I](c1ccccc1)OC(=O)c1cc(C)cc(c1)C, and by the IUPAC name[cheminf_000107]: [(3,5-dimethylbenzoyl)oxy-phenyl-lambda3-iodanyl] 3,5-dimethylbenzoate.
 
 The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]:
 
 The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-10952

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 
 Boiling point descriptor[CHEMINF_000257]: 
 Refractive index descriptor[CHEMINF_000253]:

 The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]:
 
 CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 CHMO:0000630 | infrared absorption spectroscopy (IR)
 
 The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: 

 Used ontologies:
 CHEBI - Chemical Entities of Biological Interest
 CHEMINF - chemical information ontology (information entities about chemical entities)
 CHMO - Chemical Methods Ontology
 OBI - Ontology for Biomedical Investigations
DOI: 10.14272/bdijwgreugqqqq-pjjiprphsa-n.1
title: (5S,8R,9S,10S,13S,14S,17S)-17-[tert-butyl(dimethyl)silyl]oxy-10,13-dimethyl-1,2,4,5,6,7,8,9,11,12,14,15,16,17-tetradecahydrocyclopenta[a]phenanthren-3-one
title: InChI=1S/C25H44O2Si/c1-23(2,3)28(6,7)27-22-11-10-20-19-9-8-17-16-18(26)12-14-24(17,4)21(19)13-15-25(20,22)5/h17,19-22H,8-16H2,1-7H3/t17-,19-,20-,21-,22-,24-,25-/m0/s1

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367].
 The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]:
 InChI descriptor[cheminf_000113]: InChI=1S/C25H44O2Si/c1-23(2,3)28(6,7)27-22-11-10-20-19-9-8-17-16-18(26)12-14-24(17,4)21(19)13-15-25(20,22)5/h17,19-22H,8-16H2,1-7H3/t17-,19-,20-,21-,22-,24-,25-/m0/s1, and canonical SMILES descriptor[cheminf_000007]: O=C1CC[C@]2([C@H](C1)CC[C@@H]1[C@@H]2CC[C@]2([C@H]1CC[C@@H]2O[Si](C(C)(C)C)(C)C)C)C, and by the IUPAC name[cheminf_000107]: (5S,8R,9S,10S,13S,14S,17S)-17-[tert-butyl(dimethyl)silyl]oxy-10,13-dimethyl-1,2,4,5,6,7,8,9,11,12,14,15,16,17-tetradecahydrocyclopenta[a]phenanthren-3-one.
 
 The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]:
 
 The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-7985

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 
 Boiling point descriptor[CHEMINF_000257]: 
 Refractive index descriptor[CHEMINF_000253]:

 The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]:
 
 CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 CHMO:0000470 | mass spectrometry (MS)
 
 The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: 

 Used ontologies:
 CHEBI - Chemical Entities of Biological Interest
 CHEMINF - chemical information ontology (information entities about chemical entities)
 CHMO - Chemical Methods Ontology
 OBI - Ontology for Biomedical Investigations
DOI: 10.14272/bhhgijmspjswnb-wousrvcjsa-n.1
title: C27H48O3Si
title: InChI=1S/C27H48O3Si/c1-18(28)29-20-13-15-26(5)19(17-20)9-10-21-22-11-12-24(27(22,6)16-14-23(21)26)30-31(7,8)25(2,3)4/h19-24H,9-17H2,1-8H3/t19-,20-,21-,22-,23-,24-,26-,27-/m0/s1

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367].
 The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]:
 InChI descriptor[cheminf_000113]: InChI=1S/C27H48O3Si/c1-18(28)29-20-13-15-26(5)19(17-20)9-10-21-22-11-12-24(27(22,6)16-14-23(21)26)30-31(7,8)25(2,3)4/h19-24H,9-17H2,1-8H3/t19-,20-,21-,22-,23-,24-,26-,27-/m0/s1, and canonical SMILES descriptor[cheminf_000007]: CC(=O)O[C@H]1CC[C@]2([C@H](C1)CC[C@@H]1[C@@H]2CC[C@]2([C@H]1CC[C@@H]2O[Si](C(C)(C)C)(C)C)C)C, and by the IUPAC name[cheminf_000107]: .
 
 The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]:
 
 The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-8124

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 
 Boiling point descriptor[CHEMINF_000257]: 
 Refractive index descriptor[CHEMINF_000253]:

 The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]:
 
 CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 CHMO:0000470 | mass spectrometry (MS)
 
 CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: 

 Used ontologies:
 CHEBI - Chemical Entities of Biological Interest
 CHEMINF - chemical information ontology (information entities about chemical entities)
 CHMO - Chemical Methods Ontology
 OBI - Ontology for Biomedical Investigations