cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23931728
title: Trading votes: what drives MEP support for trade liberalisation?

description: Which factors drive support of Members of the European Parliament (MEPs) for trade liberalisation? The literature suggests that economic factors, ideology, and politicization shape MEP voting behaviour. Drawing on a new dataset encompassing all trade-related MEP votes (2009-2019), this study offers a quantitative assessment of the determinants of MEP support for trade liberalisation. It finds that ideological factors have the strongest and most persistent effect on MEP support for trade liberalisation. The economic competitiveness of MEPs’ home regions, in turn, has only a limited effect. Politicization, lastly, has an unclear effect on its own and mostly influences MEP voting behaviour through interactions with ideological and economic factors. The study offers the first comprehensive assessment of the determinants of MEP voting on trade liberalisation and contributes to political economy research on electoral institutions and trade, the European Parliament’s role in trade policy and the effects of politicization on policy-making.
DOI: 10.6084/m9.figshare.23931728.v1
title: Trading votes: what drives MEP support for trade liberalisation?

description: Which factors drive support of Members of the European Parliament (MEPs) for trade liberalisation? The literature suggests that economic factors, ideology, and politicization shape MEP voting behaviour. Drawing on a new dataset encompassing all trade-related MEP votes (2009-2019), this study offers a quantitative assessment of the determinants of MEP support for trade liberalisation. It finds that ideological factors have the strongest and most persistent effect on MEP support for trade liberalisation. The economic competitiveness of MEPs’ home regions, in turn, has only a limited effect. Politicization, lastly, has an unclear effect on its own and mostly influences MEP voting behaviour through interactions with ideological and economic factors. The study offers the first comprehensive assessment of the determinants of MEP voting on trade liberalisation and contributes to political economy research on electoral institutions and trade, the European Parliament’s role in trade policy and the effects of politicization on policy-making.
DOI: 10.6084/m9.figshare.22674888
title: How does politicisation affect the ratification of mixed EU trade agreements? The case of CETA

description: This article examines how politicization has affected the ratification of the EU–Canada Comprehensive Economic and Trade Agreement (CETA) in EU member states. The study is based on the conceptual framework of discursive postfunctionalism. This approach builds on postfunctionalist arguments about the constraining impact of politicization on national governments’ EU-related policy making, but seeks to specify them further by examining mediating factors between political contestation and decisions of national policy makers. We test the explanatory power of discursive postfunctionalism by combining a comparative overview of CETA-related politicization and ratification patterns in all EU member states with in-depth case studies of five states that have seen particularly intense public contestation. Our research shows that politicization does not necessarily prevent the ratification of CETA; rather, its effects on policy making are mitigated by institutional provisions on the involvement of domestic institutions, the composition of government coalitions, and the discursive strategies of national governments.
DOI: 10.6084/m9.figshare.22674888.v1
title: How does politicisation affect the ratification of mixed EU trade agreements? The case of CETA

description: This article examines how politicization has affected the ratification of the EU–Canada Comprehensive Economic and Trade Agreement (CETA) in EU member states. The study is based on the conceptual framework of discursive postfunctionalism. This approach builds on postfunctionalist arguments about the constraining impact of politicization on national governments’ EU-related policy making, but seeks to specify them further by examining mediating factors between political contestation and decisions of national policy makers. We test the explanatory power of discursive postfunctionalism by combining a comparative overview of CETA-related politicization and ratification patterns in all EU member states with in-depth case studies of five states that have seen particularly intense public contestation. Our research shows that politicization does not necessarily prevent the ratification of CETA; rather, its effects on policy making are mitigated by institutional provisions on the involvement of domestic institutions, the composition of government coalitions, and the discursive strategies of national governments.
DOI: 10.5281/zenodo.10403988
title: O'ZBEKISTONDA TURIZM INDUSTRIYASINI RIVOJLANTIRISHNING MOLIYAVIY MEXANIZMLARINI TAKOMILLASHTIRISH
DOI: 10.5281/zenodo.10403989
title: O'ZBEKISTONDA TURIZM INDUSTRIYASINI RIVOJLANTIRISHNING MOLIYAVIY MEXANIZMLARINI TAKOMILLASHTIRISH
DOI: 10.5281/zenodo.10403994
title: PEDAGOGICAL CONDITIONS FOR PREPARING STUDENTS OF TECHNICAL UNIVERSITIES FOR A PROFESSIONALLY ORIENTED FOREIGN LANGUAGE
DOI: 10.5281/zenodo.10403995
title: PEDAGOGICAL CONDITIONS FOR PREPARING STUDENTS OF TECHNICAL UNIVERSITIES FOR A PROFESSIONALLY ORIENTED FOREIGN LANGUAGE
DOI: 10.6084/m9.figshare.24864336
title: Data for impact of artificial intelligence application on electric vehicle adoption

description: With the increasingly severe global energy and environmental problems and the proposal of China's "dual carbon" target, it has become a consensus for electric vehicles (EVs) to replace traditional fuel vehicles and spread globally. In the context of the digital economy, artificial intelligence (AI) is widely used in the field of EVs. Therefore, we use the panel data of 28 representative cities in China from 2010 to 2019, adopt the fixed effect model, and incorporate AI application, to explore the impact of AI application, number of charging piles, financial subsidies, population density, purchasing power, range anxiety, resale anxiety and other influencing factors on the adoption of EVs.
DOI: 10.48677/2d6ae2c7-af9e-4046-b54c-ee907964ee01
title: Verwaltungsgrenzen (VGD) BEV Stichtag 01.10.2023

description: Die Verwaltungsgrenzen Stichtag BEV beinhalten die Grenzen der Verwaltungseinheiten Österreichs im Schnittstellenschema des BEV.

Die Daten sind für folgende Grenzen vorhanden: 
1) Katastralgemeindegrenze 
2) Gemeindegrenze 
3) Bezirksgrenze 
4) Gerichtsbezirksgrenze 
5) Vermessungssprengelgrenze 
6) Finanzamtsbereichsgrenze
7) Bundesländergrenze 
8) Staatsgrenze

Stichtag = Erstellungsdatum:
Die Daten sind zu diesem Tag der aktuellste Datenbestand des BEV.
Dies ist nicht ident mit dem Aufnahme- bzw. Vermessungsdatum.
DOI: 10.48677/29fde426-0566-49cf-98c5-71f438d82e46
title: Verwaltungsgrenzen (VGD) BEV 1:50 000 Stichtag 01.10.2023

description: Die Verwaltungsgrenzen Stichtag BEV beinhalten die Grenzen der Verwaltungseinheiten Österreichs im Schnittstellenschema des BEV.

Die Daten sind für folgende Grenzen vorhanden: 
1) Katastralgemeindegrenze 
2) Gemeindegrenze 
3) Bezirksgrenze 
4) Gerichtsbezirksgrenze 
5) Vermessungssprengelgrenze 
6) Finanzamtsbereichsgrenze
7) Bundesländergrenze 
8) Staatsgrenze

Stichtag = Erstellungsdatum:
Die Daten sind zu diesem Tag der aktuellste Datenbestand des BEV.
Dies ist nicht ident mit dem Aufnahme- bzw. Vermessungsdatum.
DOI: 10.48677/273bbf2c-1511-457d-a48a-6914a480d256
title: Verwaltungsgrenzen (VGD) BEV 1:250 000 Stichtag 01.10.2023

description: Die Verwaltungsgrenzen Stichtag BEV beinhalten die Grenzen der Verwaltungseinheiten Österreichs im Schnittstellenschema des BEV.

Die Daten sind für folgende Grenzen vorhanden: 
1) Katastralgemeindegrenze 
2) Gemeindegrenze 
3) Bezirksgrenze 
4) Gerichtsbezirksgrenze 
5) Vermessungssprengelgrenze 
6) Finanzamtsbereichsgrenze
7) Bundesländergrenze 
8) Staatsgrenze

Stichtag = Erstellungsdatum:
Die Daten sind zu diesem Tag der aktuellste Datenbestand des BEV.
Dies ist nicht ident mit dem Aufnahme- bzw. Vermessungsdatum.
DOI: 10.6084/m9.figshare.24864372
title: <b>Entrepreneurial activity hinders economic growth: evidence from China</b>

description: Using the annual numbers of newly registered firms and new high-tech firms across 278 Chinese cities between 2011 and 2019, we employ latent class models to cluster cities exhibiting heterogeneous effects of entrepreneurial activity on economic growth. We find that entrepreneurial activity hinders economic growth, with more pronounced effects over a two-year time lag. Chinese cities form two distinct clusters: one large group covering predominantly southern cities and a smaller group comprising mostly northeastern and northwestern cities. Entrepreneurial activity in the former group negatively impacts economic growth significantly, while this effect is insignificant for the latter group.
DOI: 10.6084/m9.figshare.24864372.v1
title: <b>Entrepreneurial activity hinders economic growth: evidence from China</b>

description: Using the annual numbers of newly registered firms and new high-tech firms across 278 Chinese cities between 2011 and 2019, we employ latent class models to cluster cities exhibiting heterogeneous effects of entrepreneurial activity on economic growth. We find that entrepreneurial activity hinders economic growth, with more pronounced effects over a two-year time lag. Chinese cities form two distinct clusters: one large group covering predominantly southern cities and a smaller group comprising mostly northeastern and northwestern cities. Entrepreneurial activity in the former group negatively impacts economic growth significantly, while this effect is insignificant for the latter group.
DOI: 10.6084/m9.figshare.24861441
title: Benchmarking the translational potential of spatial gene expression prediction from histology analysis

description: Zip file containing the data and code required to reproduce all the figures in the manuscript entitled "Benchmarking the translational potential of spatial gene expression prediction from histology". Code may be used to benchmark future methods on the two datasets analysed - HER2+ Breast Cancer ST and Cutaneous Squamous Cell Carcinoma ST datasets.
DOI: 10.6084/m9.figshare.24861441.v1
title: Benchmarking the translational potential of spatial gene expression prediction from histology analysis

description: Zip file containing the data and code required to reproduce all the figures in the manuscript entitled "Benchmarking the translational potential of spatial gene expression prediction from histology". Code may be used to benchmark future methods on the two datasets analysed - HER2+ Breast Cancer ST and Cutaneous Squamous Cell Carcinoma ST datasets.
DOI: 10.6084/m9.figshare.24864369
title: <b>The impact of artificial intelligence application on electric vehicles adoption</b><b>：</b><b>Evidence from 28 cities in China</b>

description: With the increasingly severe global energy and environmental problems and the proposal of China's "dual carbon" target, it has become a consensus for electric vehicles (EVs) to replace traditional fuel vehicles and spread globally. In the context of the digital economy, artificial intelligence (AI) is widely used in the field of EVs. Therefore, we use the panel data of 28 representative cities in China from 2010 to 2019, adopt the fixed effect model, and incorporate AI application , to explore the impact of AI application, number of charging piles, financial subsidies, population density, purchasing power, range anxiety, resale anxiety and other influencing factors on the adoption of EVs. At the same time, we also explore the moderating effect of AI application on the impact of charging piles and consumer anxiety on EVs adoption. The results show that AI application significantly and positively influences the adoption of EVs; AI application significantly and positively moderates the positive effect of charging piles on the adoption of EVs; AI application significantly and negatively moderates the negative effect of consumer anxiety on the adoption of EVs. Finally, based on the consumer demand, suggestions are proposed for the government and car companies to develop EVs production and design toward intelligence; and a series of suggestions are proposed for improving the construction of smart grids and smart charging piles.
DOI: 10.6084/m9.figshare.24803370.v4
title: Supplementary information for "Role of DNMT1 and C/EBPα in the regulation CYP11A1 expression during syncytialization of human placental trophoblasts"

description: Supplementary information (figures and tables) for<b> </b>"Role of DNMT1 and C/EBPα in the regulation CYP11A1 expression during syncytialization of human placental trophoblasts" by Ya-Nan Zhu, Fan Pan, Xiao-Wen Gan, Yun Liu, Wang-Sheng Wang*, Kang Sun*
DOI: 10.6084/m9.figshare.24803370.v5
title: Supplementary information for "Role of DNMT1 and C/EBPα in the regulation CYP11A1 expression during syncytialization of human placental trophoblasts"

description: Supplementary information (figures and tables) for<b> </b>"Role of DNMT1 and C/EBPα in the regulation CYP11A1 expression during syncytialization of human placental trophoblasts" by Ya-Nan Zhu, Fan Pan, Xiao-Wen Gan, Yun Liu, Wang-Sheng Wang*, Kang Sun*
DOI: 10.6084/m9.figshare.24864072
title: the paper data of <i>a method for measuring the three-dimensional profile of moving objects based on neural network position transformation</i>

description: the paper data of <i>a method for measuring the three-dimensional profile of moving objects based on neural network position transformation</i>
DOI: 10.6084/m9.figshare.24864072.v1
title: the paper data of <i>a method for measuring the three-dimensional profile of moving objects based on neural network position transformation</i>

description: the paper data of <i>a method for measuring the three-dimensional profile of moving objects based on neural network position transformation</i>
DOI: 10.14272/ugxujywokltnet-uhfffaoysa-n.1
title: 2-chloro-4-methyl-6-nitro-aniline
title: InChI=1S/C7H7ClN2O2/c1-4-2-5(8)7(9)6(3-4)10(11)12/h2-3H,9H2,1H3

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/C7H7ClN2O2/c1-4-2-5(8)7(9)6(3-4)10(11)12/h2-3H,9H2,1H3, and canonical SMILES descriptor[cheminf_000007]: Cc1cc(Cl)c(c(c1)[N+](=O)[O-])N, and by the IUPAC name[cheminf_000107]: 2-chloro-4-methyl-6-nitroaniline.
 
 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-37695

 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:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 CHMO:0000599 | correlation spectroscopy (COSY)
 
 CHMO:0000604 | heteronuclear single quantum coherence (HSQC)
 
 CHMO:0000601 | heteronuclear multiple bond coherence (HMBC)
 
 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/ugxujywokltnet-uhfffaoysa-n/chmo0000601
title: heteronuclear multiple bond coherence (HMBC) (2-chloro-4-methyl-6-nitroaniline)
title: InChI=1S/C7H7ClN2O2/c1-4-2-5(8)7(9)6(3-4)10(11)12/h2-3H,9H2,1H3

description: dataset for heteronuclear multiple bond coherence (HMBC)
DOI: 10.14272/ugxujywokltnet-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (2-chloro-4-methyl-6-nitroaniline)
title: InChI=1S/C7H7ClN2O2/c1-4-2-5(8)7(9)6(3-4)10(11)12/h2-3H,9H2,1H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 1H NMR (400 MHz, DMSO-d6 [2.50 ppm], ppm) δ = 7.84 (dd, J = 1.8 Hz, J = 0.9 Hz, 1H), 7.59 (d, J = 2.0 Hz, 1H), 7.09 (br.s, 2H), 2.22 (s, 3H).
DOI: 10.14272/ugxujywokltnet-uhfffaoysa-n/chmo0000596.1
title: distortionless enhancement with polarization transfer (DEPT) (2-chloro-4-methyl-6-nitroaniline)
title: InChI=1S/C7H7ClN2O2/c1-4-2-5(8)7(9)6(3-4)10(11)12/h2-3H,9H2,1H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/ugxujywokltnet-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (2-chloro-4-methyl-6-nitroaniline)
title: InChI=1S/C7H7ClN2O2/c1-4-2-5(8)7(9)6(3-4)10(11)12/h2-3H,9H2,1H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 13C NMR (100 MHz, DMSO-d6 [39.5 ppm], ppm) δ = 139.9 (Cq), 136.8 (CH), 131.7 (Cq), 124.7 (Cq), 124.2 (CH), 120.9 (Cq), 19.2 (CH3).
DOI: 10.14272/ugxujywokltnet-uhfffaoysa-n/chmo0000599
title: correlation spectroscopy (COSY) (2-chloro-4-methyl-6-nitroaniline)
title: InChI=1S/C7H7ClN2O2/c1-4-2-5(8)7(9)6(3-4)10(11)12/h2-3H,9H2,1H3

description: dataset for correlation spectroscopy (COSY)
DOI: 10.14272/ugxujywokltnet-uhfffaoysa-n/chmo0000604
title: heteronuclear single quantum coherence (HSQC) (2-chloro-4-methyl-6-nitroaniline)
title: InChI=1S/C7H7ClN2O2/c1-4-2-5(8)7(9)6(3-4)10(11)12/h2-3H,9H2,1H3

description: dataset for heteronuclear single quantum coherence (HSQC)
DOI: 10.14272/ugxujywokltnet-uhfffaoysa-n/chmo0000596
title: distortionless enhancement with polarization transfer (DEPT) (2-chloro-4-methyl-6-nitroaniline)
title: InChI=1S/C7H7ClN2O2/c1-4-2-5(8)7(9)6(3-4)10(11)12/h2-3H,9H2,1H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/wtwbuqjhjguzcy-uhfffaoysa-n.1
title: 4-isopropylbenzaldehyde
title: InChI=1S/C10H12O/c1-8(2)10-5-3-9(7-11)4-6-10/h3-8H,1-2H3

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/C10H12O/c1-8(2)10-5-3-9(7-11)4-6-10/h3-8H,1-2H3, and canonical SMILES descriptor[cheminf_000007]: O=Cc1ccc(cc1)C(C)C, and by the IUPAC name[cheminf_000107]: 4-propan-2-ylbenzaldehyde.
 
 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-37653

 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:0000601 | heteronuclear multiple bond coherence (HMBC)
 
 CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 CHMO:0000599 | correlation spectroscopy (COSY)
 
 CHMO:0000604 | heteronuclear single quantum coherence (HSQC)
 
 CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 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
DOI: 10.14272/wtwbuqjhjguzcy-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (4-propan-2-ylbenzaldehyde)
title: InChI=1S/C10H12O/c1-8(2)10-5-3-9(7-11)4-6-10/h3-8H,1-2H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 1H NMR (400 MHz, Chloroform-d [7.26 ppm], ppm) δ = 9.97 (s, 1H), 7.83–7.80 (m, 2H), 7.40–7.37 (m, 2H), 2.99 (sept, J = 6.9 Hz, 1H), 1.28 (d, J = 6.8 Hz, 6H).
DOI: 10.14272/wtwbuqjhjguzcy-uhfffaoysa-n/chmo0000601
title: heteronuclear multiple bond coherence (HMBC) (4-propan-2-ylbenzaldehyde)
title: InChI=1S/C10H12O/c1-8(2)10-5-3-9(7-11)4-6-10/h3-8H,1-2H3

description: dataset for heteronuclear multiple bond coherence (HMBC)
DOI: 10.14272/wtwbuqjhjguzcy-uhfffaoysa-n/chmo0000596
title: distortionless enhancement with polarization transfer (DEPT) (4-propan-2-ylbenzaldehyde)
title: InChI=1S/C10H12O/c1-8(2)10-5-3-9(7-11)4-6-10/h3-8H,1-2H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/wtwbuqjhjguzcy-uhfffaoysa-n/chmo0000596.1
title: distortionless enhancement with polarization transfer (DEPT) (4-propan-2-ylbenzaldehyde)
title: InChI=1S/C10H12O/c1-8(2)10-5-3-9(7-11)4-6-10/h3-8H,1-2H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/wtwbuqjhjguzcy-uhfffaoysa-n/chmo0000599
title: correlation spectroscopy (COSY) (4-propan-2-ylbenzaldehyde)
title: InChI=1S/C10H12O/c1-8(2)10-5-3-9(7-11)4-6-10/h3-8H,1-2H3

description: dataset for correlation spectroscopy (COSY)
DOI: 10.14272/wtwbuqjhjguzcy-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (4-propan-2-ylbenzaldehyde)
title: InChI=1S/C10H12O/c1-8(2)10-5-3-9(7-11)4-6-10/h3-8H,1-2H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 13C NMR (100 MHz, Chloroform-d [77.2 ppm], ppm) δ = 192.1 (CH), 156.4 (Cq), 134.7 (Cq), 130.1 (2C, CH), 127.3 (2C, CH), 34.6 (CH), 23.8 (2C, CH3).
DOI: 10.14272/wtwbuqjhjguzcy-uhfffaoysa-n/chmo0000604
title: heteronuclear single quantum coherence (HSQC) (4-propan-2-ylbenzaldehyde)
title: InChI=1S/C10H12O/c1-8(2)10-5-3-9(7-11)4-6-10/h3-8H,1-2H3

description: dataset for heteronuclear single quantum coherence (HSQC)