cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23519085
title: Modulating p38 MAPK Signaling by Proteostasis Mechanisms Supports Tissue Integrity during Growth and Aging

description: Modulating p38 MAPK Signaling by Proteostasis Mechanisms Supports Tissue Integrity during Growth and Aging
DOI: 10.6084/m9.figshare.23560146.v1
title: Geometric control of diffusing elements on InAs semiconductor surfaces via metal contacts

description: XPEEM image stacks for the Al2p, In4d and As3d core levels µ-XPS of Pd AFM data SEM data of the metal patterns with droplet free zones after a variety of annealing temperatures
DOI: 10.6084/m9.figshare.23659113
title: A small molecule inhibitor of PTP1B and PTPN2 enhances T cell anti-tumor immunity

description: Raw data, means, errors and p values for main figures
DOI: 10.6084/m9.figshare.23659113.v1
title: A small molecule inhibitor of PTP1B and PTPN2 enhances T cell anti-tumor immunity

description: Raw data, means, errors and p values for main figures 2-10
DOI: 10.6084/m9.figshare.23560146
title: Geometric control of diffusing elements on InAs semiconductor surfaces via metal contacts

description: XPEEM image stacks for the Al2p, In4d and As3d core levels µ-XPS of Pd AFM data SEM data of the metal patterns with droplet free zones after a variety of annealing temperatures
DOI: 10.6084/m9.figshare.23797383
title: Additional file 12 of Machine learning in Huntington’s disease: exploring the Enroll-HD dataset for prognosis and driving capability prediction

description: Additional file 12: Evaluation metrics of all the tuned models: A table with all the tuned driving capability GRUs and their evaluation metrics, sorted by the AUC, F1 score, and accuracy for the test set.
DOI: 10.6084/m9.figshare.23798394
title: <b>Quantitative galactose colorimetric competitive assay based on galactose dehydrogenase and plasmonic gold nanostars.</b>

description: The goal of this research was to develop a quantitative galactose colorimetric detection platform that uses plasmonic gold nanostars and co-immobilized galactose dehydrogenase and NAD+. In the presence of 0.05 mM H<sub>2</sub>O<sub>2</sub>, the biosensor provided quantified colorimetric signals that were dependent on the analyte concentration.
DOI: 10.6084/m9.figshare.23798394.v1
title: Untitled Item

description: The goal of this research was to develop a quantitative galactose colorimetric detection platform that uses plasmonic gold nanostars and co-immobilized galactose dehydrogenase and NAD+. In the presence of 0.05 mM H<sub>2</sub>O<sub>2</sub>, the biosensor provided quantified colorimetric signals that were dependent on the analyte concentration.
DOI: 10.6084/m9.figshare.23797263
title: Additional file 3 of Comparative proteomics analysis in different stages of urothelial bladder cancer for identification of potential biomarkers: highlighted role for antioxidant activity

description: Supplementary Table S3: Reactome topology pathways obtained from over-representation analysis
DOI: 10.57745/h5pjji
title: Treepeace_SingleTree_level.tab

description: :unav
DOI: 10.57745/ucigic
title: Treepeace_Plot_level.tab

description: :unav
DOI: 10.57745/4vsgws
title: Treepeace_Progeny_level.tab

description: :unav
DOI: 10.5281/zenodo.8146457
title: Data for the manuscript: Enabling Climate Change Adaptation in Coastal Systems. A Systematic Literature Review

description: This dataset includes the list of publications, framework and dataset used for the paper "Enabling Climate Change Adaptation in Coastal Systems. A Systematic Literature Review"
DOI: 10.5255/ukda-sn-856606
title: Centre for Climate Change and Social Transformations: Cardiff Travel Survey, Wave 1, 2021

description: The Cardiff Travel Survey is a longitudinal survey that aims to (a) establish current and previous (before the coronavirus outbreak) travel habits; (b) explore how travel-related attitudes, social norms and perceptions change over time; and (c) examine the interplay between individual (perceptual) and environmental (infrastructural) factors in travel mode choice, in particular in relation to the uptake of active travel such as walking and cycling in the City of Cardiff, Wales. The Cardiff Travel Survey 2021 (Wave 1) is the first wave of data collected in 2021 (n=731) by the Centre for Climate Change and Social Transformations (CAST) and is the first of a longitudinal series of surveys to be held annually. This first wave of the Cardiff Travel Survey can be used as a baseline for follow-up surveys as well as possible future information campaigns and interventions. Data for the Cardiff Travel Survey 2021 were collected between 19 May 2021 and 9 July 2021. Participants were recruited through posts on social media, such as Facebook® and Twitter®. Invitations were posted on CAST and investigator accounts as well as local Facebook® pages (e.g., Cardiff Students Postgraduate Network and neighbourhood-specific pages). The survey was hosted on the Qualtrics online survey platform and available in both English and Welsh. Inclusion criteria were that participants had to be at least 18 years of age and live in or travel regularly to Cardiff. The English version of the survey was completed by 690 respondents and the Welsh version by 41 respondents. Incomplete responses (n=56), defined as those without any answers beyond socio-demographic information, were removed from the dataset. This left a final sample of 675 adults. Participants were asked to create a unique code that can be used match this survey to the next surveys without knowing their identity. Main topic areas of the questionnaire are: Demographics, Travel behaviours - before coronavirus outbreak, Travel behaviours - current, Physical activity, Physical health and mental wellbeing, Perceptions of infrastructure and environmental quality, Attitudes to active travel, Social norms, Support for transport policies, and Unique ID.
DOI: 10.5255/ukda-sn-856608
title: Centre for Climate Change and Social Transformations: Cardiff Travel Survey, Wave 2, 2022

description: The Cardiff Travel Survey is a longitudinal survey that aims to (a) establish current and previous (before the coronavirus outbreak) travel habits; (b) explore how travel-related attitudes, social norms and perceptions change over time; and (c) examine the interplay between individual (perceptual) and environmental (infrastructural) factors in travel mode choice, in particular in relation to the uptake of active travel such as walking and cycling in the City of Cardiff, Wales. The Cardiff Travel Survey 2022 (Wave 2) is an opportunity sample that was collected in 2022 (n=968) by the Centre for Climate Change and Social Transformations (CAST), and is the second of a longitudinal series of surveys to be held annually for the duration of the centre. Data for the Cardiff Travel Survey 2022 were collected between 03 May 2022 and 20 July 2022. Participants of the Cardiff Travel Survey 2021 who consented (n=512) were recontacted via email to invite them to take part in the 2022 survey. Furthermore, participants were recruited through posts on social media, such as Facebook® and Twitter®. Invitations were posted on CAST and investigator accounts. The posts on Twitter and Facebook were promoted to make them more visible in the area. The survey was hosted on the Qualtrics online survey platform and available in both English and Welsh. Inclusion criteria were that participants had to be at least 18 years of age and live in or travel regularly to Cardiff. The English version of the survey was completed by 1,034 respondents and the Welsh version by 28 respondents. Incomplete responses (n=95), defined as those without any answers beyond socio-demographic, were removed from the dataset. A further 4 respondents did not complete the first section on current travel behaviours and were also removed. This left a final sample of n=968 adults. Two hundred and ten (210) of these had also responded to the Cardiff Travel Survey 2021. Participants were asked to create a unique code that can be used match this survey to the previous and next surveys without knowing their identity. Main topic areas of the questionnaire are: Demographics, Travel behaviours, Physical activity, Physical health and mental wellbeing, Perceptions of infrastructure and environmental quality, Travel-related social identity, Attitudes to active travel, Social norms, Support for transport policies, and Unique ID.
DOI: 10.13140/rg.2.2.10268.05761
title: Jesus and Biden Similarity Theorem: Artificial Intelligence Supports that Jesus was Ethnically Similar
DOI: 10.13140/rg.2.2.23689.83043
title: Jesus and Biden Similarity Theorem: Artificial Intelligence Supports that Jesus was Ethnically Similar
DOI: 10.13140/rg.2.2.16978.94408
title: Jesus and Biden Similarity Theorem: Artificial Intelligence Supports that Jesus was Ethnically Similar
DOI: 10.13140/rg.2.2.30400.71687
title: Jesus and Biden Similarity Theorem: Artificial Intelligence Supports that Jesus was Ethnically Similar
DOI: 10.6084/m9.figshare.23798463.v1
title: Olah Data Jamu Gendong.xlsx

description: Data set of <b>Household Resilience of Women Migrant Workers Sellers of Jamu Gendong</b>
DOI: 10.13140/rg.2.2.11945.77921
title: BRITISH CONCEPT OF DEFENCE OF INDIA IN LATE 1939 AS ILLUSTRATED BY BRITISH INDIAN ARMY BRIGADE DEPLOYMENT IN INDIA IN OCTOBER 1939 – THERE WERE NO DIVISION HEADQUARTERS BUT ARMY COMMANDS CONTROLLING BRIGADES
DOI: 10.13140/rg.2.2.25367.55201
title: BRITISH CONCEPT OF DEFENCE OF INDIA IN LATE 1939 AS ILLUSTRATED BY BRITISH INDIAN ARMY BRIGADE DEPLOYMENT IN INDIA IN OCTOBER 1939 – THERE WERE NO DIVISION HEADQUARTERS BUT ARMY COMMANDS CONTROLLING BRIGADES
DOI: 10.5255/ukda-sn-856536
title: Building the Barricades: Three Interdisciplinary Studies on Mental and Substance Use Disorders in the Context of Armed Violence in Brazil, 2018–2021

description: The data consists of one spreadsheet including data from study 1, one spreadsheet with data from study 2, two files including the sampling description (in Portuguese and English), one file with survey guidelines and one file with the description of the data calibration. Study 1 – Maré Domestic Survey: an investigation of the mental health and wellbeing of Maré residents with a focus on their mental health, patterns of drug use (legal and illegal), family and educational background, income generation and access to social, health and drug treatment programmes. Study one included a domestic survey of 1,211 Maré residents from each of the 16 communities. Study 2 – Profiles of Regular Drug Users of Maré: A quantitative survey of 200 regular drug users living on or at risk of living on the streets within and on the borders of the Maré communities. The survey investigated the existing mental health of the respondents, their knowledge and perception about MNS disorders, their access to mental health services, the possibilities of self- and community-based care, and the existence of informal care networks.
DOI: 10.13140/rg.2.2.32078.43847
title: BRITISH CONCEPT OF DEFENCE OF INDIA IN LATE 1939 AS ILLUSTRATED BY BRITISH INDIAN ARMY BRIGADE DEPLOYMENT IN INDIA IN OCTOBER 1939 – THERE WERE NO DIVISION HEADQUARTERS BUT ARMY COMMANDS CONTROLLING BRIGADES
DOI: 10.6084/m9.figshare.23797368.v1
title: Additional file 7 of Machine learning in Huntington’s disease: exploring the Enroll-HD dataset for prognosis and driving capability prediction

description: Additional file 7: Missing value percentages for age features: A table of the missing percentages of the AAO of symptoms variables and the reason why they are missing.
DOI: 10.6084/m9.figshare.23798502
title: 社交时差和能量摄入

description: 在当前研究期间使用和/或分析的数据集可根据合理要求从通讯作者处获得。有关数据的详细信息可在 https://wwwn.cdc.gov/nchs/nhanes/ 上找到。
DOI: 10.6084/m9.figshare.23798502.v1
title: 社交时差和能量摄入

description: 在当前研究期间使用和/或分析的数据集可根据合理要求从通讯作者处获得。有关数据的详细信息可在 https://wwwn.cdc.gov/nchs/nhanes/ 上找到。
DOI: 10.25442/hku.19029779
title: Supporting data for 'Target Deconvolution of Anticancer Compounds By Chemical Proteomics: Compound K, Erianin and Ruthenium (iii) Pyrazole Complexes as Case Studies'

description: This dataset includes the MS result files for the identification of the molecular targets of Ginsenoside derivatives, erianin and ruthenium (III) pyrazole compounds using proteome integral solubility assay (PISA), ProTargetMiner or thermal proteome profiling (TPP). The animal raw data to evaluate the <i>in vivo</i> efficacy of ginsenoside derivatives and erianin was also attached.
DOI: 10.25442/hku.19029779.v1
title: Supporting data for 'Target Deconvolution of Anticancer Compounds By Chemical Proteomics: Compound K, Erianin and Ruthenium (iii) Pyrazole Complexes as Case Studies'

description: This dataset includes the MS result files for the identification of the molecular targets of Ginsenoside derivatives, erianin and ruthenium (III) pyrazole compounds using proteome integral solubility assay (PISA), ProTargetMiner or thermal proteome profiling (TPP). The animal raw data to evaluate the <i>in vivo</i> efficacy of ginsenoside derivatives and erianin was also attached.
DOI: 10.25592/uhhfdm.12728
title: Datooga (DALGOM 2019e)

description: This data set contains the audio files of texts in the Bureadiga variety of Datooga (Southern Nilotic). All data have been collected in the village of Chagana near Lugubu/Rugubu, Igunga (Tanzania), in April 2019 as part of the DFG project “Datooga lexico-grammar of motion in a dialectological and historical perspective (DALGOM)” (KI 529/12-1).
description: Deutsche Forschungsgemeinschaft (KI 529/12-1)
DOI: 10.25592/uhhfdm.12727
title: Datooga (DALGOM 2019e)

description: This data set contains the audio files of texts in the Bureadiga variety of Datooga (Southern Nilotic). All data have been collected in the village of Chagana near Lugubu/Rugubu, Igunga (Tanzania), in April 2019 as part of the DFG project “Datooga lexico-grammar of motion in a dialectological and historical perspective (DALGOM)” (KI 529/12-1).
description: Deutsche Forschungsgemeinschaft (KI 529/12-1)
DOI: 10.5281/zenodo.8191622
title: Eccentricity signal in the nannofossil time-series across the Middle Pleistocene Transition in the Northwestern Pacific Ocean

description: Supplementary data to the paper "Eccentricity signal in the nannofossil time-series across the Middle Pleistocene Transition in the Northwestern Pacific Ocean" of Bordiga et al 2023 in Quaternary Science Reviews.
DOI: 10.5281/zenodo.8191621
title: Eccentricity signal in the nannofossil time-series across the Middle Pleistocene Transition in the Northwestern Pacific Ocean

description: Supplementary data to the paper "Eccentricity signal in the nannofossil time-series across the Middle Pleistocene Transition in the Northwestern Pacific Ocean" of Bordiga et al 2023 in Quaternary Science Reviews.
DOI: 10.5281/zenodo.8189924
title: The replication kit of DOG

description: It is the replication kit of DOG, see github.com/NJUocean/DOG for more details.
DOI: 10.5281/zenodo.8189923
title: The replication kit of DOG

description: It is the replication kit of DOG, see github.com/NJUocean/DOG for more details.
DOI: 10.5281/zenodo.7099512
title: Incorporating plant access to groundwater in existing global, satellite-based evaporation estimates

description: This repository contains data used in the paper "Incorporating plant access to groundwater in existing global, satellite-based evaporation estimates". This repository includes the following netcdf files: 1) daily evaporation based on GLEAM-Hydro [mm/d], 2) daily evaporation based on GLEAM v3 [mm/d], 3) annual-mean groundwater-sourced evaporation (E_GW) [mm/year], and 4) temporally averaged groundwater contribution fraction (f_GW) [-].
description: DTE Hydrology Evolution (Contract no. ESA 4000136272/21/I-EF - CCN N. 1), 4D MED Hydrology (Contract no. ESA 4000136272/21/I-EF)
DOI: 10.5281/zenodo.7099511
title: Incorporating plant access to groundwater in existing global, satellite-based evaporation estimates

description: This repository contains data used in the paper "Incorporating plant access to groundwater in existing global, satellite-based evaporation estimates". This repository includes the following netcdf files: 1) daily evaporation based on GLEAM-Hydro [mm/d], 2) daily evaporation based on GLEAM v3 [mm/d], 3) annual-mean groundwater-sourced evaporation (E_GW) [mm/year], and 4) temporally averaged groundwater contribution fraction (f_GW) [-].
description: DTE Hydrology Evolution (Contract no. ESA 4000136272/21/I-EF - CCN N. 1), 4D MED Hydrology (Contract no. ESA 4000136272/21/I-EF)
DOI: 10.6084/m9.figshare.23798532
title: 20230728_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.23798532.v1
title: 20230728_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.25502/n29j-8z98/d
title: Genotypic data for 94 early maturing maize inbred lines

description: Genotypic data for 94 early maturing maize inbred lines.
DOI: 10.14272/bveptxwzdnarly-uhfffaoysa-n/chmo0000596
title: distortionless enhancement with polarization transfer (DEPT) (4-methyltetrazolo[1,5-a]quinoxaline)
title: InChI=1S/C9H7N5/c1-6-9-11-12-13-14(9)8-5-3-2-4-7(8)10-6/h2-5H,1H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/bveptxwzdnarly-uhfffaoysa-n.2
title: 4-methyltetrazolo[1,5-a]quinoxaline
title: InChI=1S/C9H7N5/c1-6-9-11-12-13-14(9)8-5-3-2-4-7(8)10-6/h2-5H,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/C9H7N5/c1-6-9-11-12-13-14(9)8-5-3-2-4-7(8)10-6/h2-5H,1H3, and canonical SMILES descriptor[cheminf_000007]: Cc1nc2ccccc2n2c1nnn2, and by the IUPAC name[cheminf_000107]: 4-methyltetrazolo[1,5-a]quinoxaline. 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-26749 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]: Melting point descriptor[CHEMINF_000256]: 150.0 - 153.0 (°C) 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:0000596 | distortionless enhancement with polarization transfer (DEPT) CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT) CHMO:0000470 | mass spectrometry (MS) 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/bveptxwzdnarly-uhfffaoysa-n/chmo0000630.1
title: infrared absorption spectroscopy (IR) (4-methyltetrazolo[1,5-a]quinoxaline)
title: InChI=1S/C9H7N5/c1-6-9-11-12-13-14(9)8-5-3-2-4-7(8)10-6/h2-5H,1H3

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 3132, 3081, 3034, 3016, 2965, 2922, 2854, 2325, 2288, 2228, 2194, 2184, 2170, 2109, 2043, 1993, 1962, 1941, 1880, 1854, 1834, 1742, 1664, 1613, 1582, 1570, 1511, 1477, 1446, 1428, 1411, 1373, 1337, 1290, 1255, 1220, 1177, 1154, 1136, 1102, 1055, 1035, 1027, 1017, 993, 970, 962, 853, 781, 766, 730, 705, 697, 650, 619, 586, 543, 534, 469, 460, 448 cm–1.
DOI: 10.14272/bveptxwzdnarly-uhfffaoysa-n/chmo0000595.1
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (4-methyltetrazolo[1,5-a]quinoxaline)
title: InChI=1S/C9H7N5/c1-6-9-11-12-13-14(9)8-5-3-2-4-7(8)10-6/h2-5H,1H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (101 MHz, CDCl3, ppm) δ = 151.1 (Cq), 142.9 (Cq), 136.8 (Cq), 130.4 (CHar), 129.9 (CHar), 129.8 (CHar), 124.6 (Cq), 116.4 (CHar), 21.8 (CH3).
DOI: 10.14272/bveptxwzdnarly-uhfffaoysa-n/chmo0000470.1
title: mass spectrometry (MS) (4-methyltetrazolo[1,5-a]quinoxaline)
title: InChI=1S/C9H7N5/c1-6-9-11-12-13-14(9)8-5-3-2-4-7(8)10-6/h2-5H,1H3

description: dataset for mass spectrometry (MS) MS (EI, 70 eV, 30 °C), m/z (%): 185 (5) [M]+, 158 (11), 157 (100), 156 (28), 131 (12), 130 (20), 103 (34), 90 (33), 63 (13).HRMS–EI (m/z): [M]+ calcd for C9H7N5 185.0696; found 185.0695.
DOI: 10.14272/bveptxwzdnarly-uhfffaoysa-n/chmo0000596.1
title: distortionless enhancement with polarization transfer (DEPT) (4-methyltetrazolo[1,5-a]quinoxaline)
title: InChI=1S/C9H7N5/c1-6-9-11-12-13-14(9)8-5-3-2-4-7(8)10-6/h2-5H,1H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/bveptxwzdnarly-uhfffaoysa-n/chmo0000593.1
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (4-methyltetrazolo[1,5-a]quinoxaline)
title: InChI=1S/C9H7N5/c1-6-9-11-12-13-14(9)8-5-3-2-4-7(8)10-6/h2-5H,1H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, CDCl3, ppm) δ = 8.56–8.52 (m, 1H, CHar), 8.19–8.15 (m, 1H, CHar), 7.85–7.77 (m, 2H, CHar), 3.10 (s, 3H, CH3).
DOI: 10.14272/zrdhyumeexjhjn-uhfffaoysa-n.2
title: 2-chloro-3-propan-2-ylquinoxaline
title: InChI=1S/C11H11ClN2/c1-7(2)10-11(12)14-9-6-4-3-5-8(9)13-10/h3-7H,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/C11H11ClN2/c1-7(2)10-11(12)14-9-6-4-3-5-8(9)13-10/h3-7H,1-2H3, and canonical SMILES descriptor[cheminf_000007]: CC(c1nc2ccccc2nc1Cl)C, and by the IUPAC name[cheminf_000107]: 2-chloro-3-propan-2-ylquinoxaline. 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-26757 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]: Melting point descriptor[CHEMINF_000256]: 67.0 - 68.0 (°C) 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:0000596 | distortionless enhancement with polarization transfer (DEPT) CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT) CHMO:0000470 | mass spectrometry (MS) 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/zrdhyumeexjhjn-uhfffaoysa-n/chmo0000596.1
title: distortionless enhancement with polarization transfer (DEPT) (2-chloro-3-propan-2-ylquinoxaline)
title: InChI=1S/C11H11ClN2/c1-7(2)10-11(12)14-9-6-4-3-5-8(9)13-10/h3-7H,1-2H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)