cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc289jkp
title: CCDC 2094532: Experimental Crystal Structure Determination

description: Related Article: Benedict J. Elvers, Vera Krewald, Carola Schulzke, Christian Fischer|2021|Chem.Commun.|57|12615|doi:10.1039/D1CC05335C
DOI: 10.5517/ccdc.csd.cc289sft
title: CSD 2094776: Experimental Crystal Structure Determination

description: Related Article: Shuai Zhang, Shufang Ma, Xiaodong Hao, Yunting Wang, Ben Cao, Bin Han, Hao Zhang, Xingang Kong, Bingshe Xu|2021|Nanoscale|13|18955|doi:10.1039/D1NR06530K
DOI: 10.5517/ccdc.csd.cc28f4pk
title: CCDC 2098008: Experimental Crystal Structure Determination

description: Related Article: Julia Oktawiec, Henry Z.H. Jiang, Ari B. Turkiewicz, Jeffrey R. Long|2021|Chemical Science|12|14590|doi:10.1039/D1SC03994F
DOI: 10.5517/ccdc.csd.cc28f4ql
title: CCDC 2098009: Experimental Crystal Structure Determination

description: Related Article: Julia Oktawiec, Henry Z.H. Jiang, Ari B. Turkiewicz, Jeffrey R. Long|2021|Chemical Science|12|14590|doi:10.1039/D1SC03994F
DOI: 10.5517/ccdc.csd.cc28f4rm
title: CCDC 2098010: Experimental Crystal Structure Determination

description: Related Article: Julia Oktawiec, Henry Z.H. Jiang, Ari B. Turkiewicz, Jeffrey R. Long|2021|Chemical Science|12|14590|doi:10.1039/D1SC03994F
DOI: 10.5517/ccdc.csd.cc28f4sn
title: CCDC 2098011: Experimental Crystal Structure Determination

description: Related Article: Julia Oktawiec, Henry Z.H. Jiang, Ari B. Turkiewicz, Jeffrey R. Long|2021|Chemical Science|12|14590|doi:10.1039/D1SC03994F
DOI: 10.5517/ccdc.csd.cc28k0ql
title: CCDC 2101729: Experimental Crystal Structure Determination

description: Related Article: Soumi Chakraborty, Arpan Das, Swadhin K. Mandal|2021|Chem.Commun.|57|12671|doi:10.1039/D1CC05614J
DOI: 10.5517/ccdc.csd.cc28k0rm
title: CCDC 2101730: Experimental Crystal Structure Determination

description: Related Article: Soumi Chakraborty, Arpan Das, Swadhin K. Mandal|2021|Chem.Commun.|57|12671|doi:10.1039/D1CC05614J
DOI: 10.34943/f9e6361b-8668-43f6-ad8b-0895cf7d8784
title: Barkley Canyon Mid-East Accelerometer Deployed 2016-06-15

description: The Nanometrics TitanEA (S/N 000143) was deployed on 2016-06-15 at Barkley Canyon Mid-East. Barkley Canyon Mid-East is a location in Barkley Canyon near a canyon wall. At this location, benthic processes, biodiversity, and sediment dynamics are observed. This device is a Accelerometer. Accelerometers are instruments that measure accelerations. Acceleration can be static such as gravity pulling objects toward the earth, or dynamic as caused by oscillatory movements of the instrument. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 2.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.6084/m9.figshare.17082689
title: S1.1_Table

description: Supplementary isolate metadata for dating the emergence of S. suis systemic disease in pigs.
DOI: 10.6084/m9.figshare.17082689.v1
title: S1.1_Table

description: Supplementary isolate metadata for dating the emergence of S. suis systemic disease in pigs.
DOI: 10.5281/zenodo.5728172
title: Mensajes de twitter en la campaña electoral de las elecciones autonomicas de Madrid.

description: Mensajes de twitter en la campaña electoral de las elecciones autonomicas de Madrid. Se presentan los tuits en campaña electoral (1 mes antes de la jornada electoral) de los principales representantes politicos.
DOI: 10.5281/zenodo.5728171
title: Mensajes de twitter en la campaña electoral de las elecciones autonomicas de Madrid.

description: Mensajes de twitter en la campaña electoral de las elecciones autonomicas de Madrid. Se presentan los tuits en campaña electoral (1 mes antes de la jornada electoral) de los principales representantes politicos.
DOI: 10.5281/zenodo.5728144
title: Serial rotation electron diffraction raw data

description: Raw serial rotation electron diffraction datasets from two mixture zeolite products (Product A and B). The data folder of each Product contains the following directories or files: calib: contains the calibration files for the experiment experiment: contains the raw rotation diffraction data (SMV format) for the identified crystals at each stage position. Dials_indexing.log: contains the on-the-fly unit cell identification results from DIALS The datasets for the structure determination of IWV, CTH, and RTH phases in Product A are listed in the folder named "Selected_datasets_for_structure_determination_of_IWV_CTH_and_RTH_in_Product_A" The Python code to process the data can be found at https://doi.org/10.5281/zenodo.5727189
DOI: 10.5281/zenodo.5728219
title: Halcyon malimbica decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5728218
title: Halcyon malimbica decontaminated FSCR

description: .
DOI: 10.18112/openneuro.ds003626.v2.1.0
title: Inner Speech
DOI: 10.5281/zenodo.5728242
title: Towards new demography proxies and regional chronologies: Radiocarbon dates from archaeological contexts located in the Czech Republic covering the period between 10,000 BC and AD 1250 (dataset)

description: The dataset was created within the project “<em>Land use, social transformations and woodland in Central European Prehistory. Modelling approaches to human-environment interactions</em>” funded by the Czech Science Foundation (19-20970Y). This dataset represents the largest and the most comprehensive collection of archaeological radiocarbon dates from the Czech Republic to date. The dataset offers 1579 samples from 347 archaeological sites dating from Early Mesolithic (10 000 BC) to Medieval Period (AD 1250). Published in a simple spreadsheet format, the database offers researchers a quick tool for further analyses. It is important to highlight that dates we collected originated only from archaeological contexts, which means that we have excluded some radiocarbon dates produced through palaeoecological research without a direct relationship to past human activities, such as pollen records or samples from fossilized trees in river beds. The dataset is intended to be used for demographic modelling of population numbers during periods without written records, i.e. prehistory.
description: 1.0.1. - minor changes of data - corrections of few coordinates and Site IDs
DOI: 10.5281/zenodo.5526533
title: Towards new demography proxies and regional chronologies: Radiocarbon dates from archaeological contexts located in the Czech Republic covering the period between 10,000 BC and AD 1250 (dataset)

description: The dataset was created within the project “<em>Land use, social transformations and woodland in Central European Prehistory. Modelling approaches to human-environment interactions</em>” funded by the Czech Science Foundation (19-20970Y). This dataset represents the largest and the most comprehensive collection of archaeological radiocarbon dates from the Czech Republic to date. The dataset offers 1579 samples from 347 archaeological sites dating from Early Mesolithic (10 000 BC) to Medieval Period (AD 1250). Published in a simple spreadsheet format, the database offers researchers a quick tool for further analyses. It is important to highlight that dates we collected originated only from archaeological contexts, which means that we have excluded some radiocarbon dates produced through palaeoecological research without a direct relationship to past human activities, such as pollen records or samples from fossilized trees in river beds. The dataset is intended to be used for demographic modelling of population numbers during periods without written records, i.e. prehistory.
description: 1.0.1. - minor changes of data - corrections of few coordinates and Site IDs
DOI: 10.21227/hhf7-8b30
title: Performance of Microservices Result Data

description: A dataset containing system and service performance metrics, and user-facing quality metrics generated by running load tests against a microservice-based system under varying environmental and service configuration conditons.
DOI: 10.5517/ccdc.csd.cc28kmp5
title: CCDC 2102317: Experimental Crystal Structure Determination

description: Related Article: Kai Ji, Ka Lu, Jie Huang, Zi-Hao Li, Tong-Mei Ding, Zhi-Min Chen|2021|Chem.Commun.|57|12639|doi:10.1039/D1CC05383C
DOI: 10.5517/ccdc.csd.cc28krk5
title: CCDC 2102437: Experimental Crystal Structure Determination

description: Related Article: Fu-Sheng He, Yanfang Yao, Zhimei Tang, Yanjie Qiu, Wenlin Xie, Jie Wu|2021|Chem.Commun.|57|12603|doi:10.1039/D1CC05690E
DOI: 10.5517/ccdc.csd.cc28mvrj
title: CCDC 2104458: Experimental Crystal Structure Determination

description: Related Article: James Harnedy, Mishra Deepak Hareram, Graham J. Tizzard, Simon J. Coles, Louis C. Morrill|2021|Chem.Commun.|57|12643|doi:10.1039/D1CC05824J
DOI: 10.5517/ccdc.csd.cc28qfgx
title: CCDC 2106929: Experimental Crystal Structure Determination

description: Related Article: Yu-Jiang Wang, Yuan Zhang, Zou Qiang, Jia-Ying Liang, Zili Chen|2021|Chem.Commun.|57|12607|doi:10.1039/D1CC05260H
DOI: 10.5517/ccdc.csd.cc28s6fq
title: CCDC 2108633: Experimental Crystal Structure Determination

description: Related Article: Turner D. Newton, Sarah G. Bolton, Arman C. Garcia, Julie E. Chouinard, Stephen L. Golledge, Lev N. Zakharov, Michael D. Pluth|2021|J.Am.Chem.Soc.|143|19542|doi:10.1021/jacs.1c09525
DOI: 10.5517/ccdc.csd.cc28s6gr
title: CCDC 2108634: Experimental Crystal Structure Determination

description: Related Article: Turner D. Newton, Sarah G. Bolton, Arman C. Garcia, Julie E. Chouinard, Stephen L. Golledge, Lev N. Zakharov, Michael D. Pluth|2021|J.Am.Chem.Soc.|143|19542|doi:10.1021/jacs.1c09525
DOI: 10.5517/ccdc.csd.cc28ssd8
title: CCDC 2109190: Experimental Crystal Structure Determination

description: Related Article: Pramod Rai, Satyadeep Waiba, Kakoli Maji, Dibyaranjan Sahoo, Biplab Maji|2021|Org.Lett.|23|8888|doi:10.1021/acs.orglett.1c03387
DOI: 10.5517/ccdc.csd.cc28tfl4
title: CCDC 2109816: Experimental Crystal Structure Determination

description: Related Article: Jiaxin Xie, Xin Liu, Nan Zhang, Shinyoung Choi, Guangbin Dong|2021|J.Am.Chem.Soc.|143|19311|doi:10.1021/jacs.1c11117
DOI: 10.5517/ccdc.csd.cc28tfm5
title: CCDC 2109817: Experimental Crystal Structure Determination

description: Related Article: Jiaxin Xie, Xin Liu, Nan Zhang, Shinyoung Choi, Guangbin Dong|2021|J.Am.Chem.Soc.|143|19311|doi:10.1021/jacs.1c11117
DOI: 10.5517/ccdc.csd.cc28v9fw
title: CCDC 2110648: Experimental Crystal Structure Determination

description: Related Article: Xue Tang, Yuling Wu, Jing Jiang, Huaying Fang, Wu-Jingyun Zhou, Wei Huang, Gu Zhan|2021|Org.Lett.|23|8937|doi:10.1021/acs.orglett.1c03418
DOI: 10.5517/ccdc.csd.cc28vlwm
title: CCDC 2110941: Experimental Crystal Structure Determination

description: Related Article: Constantine V. Milyutin, Renata D. Galimova, Andrey N. Komogortsev, Boris V. Lichitskii, Valeriya G. Melekhina, Vasily A. Migulin, Artem N. Fakhrutdinov, Mikhail E. Minyaev|2021|Org.Biomol.Chem.|19|9975|doi:10.1039/D1OB01871J
DOI: 10.5517/ccdc.csd.cc28vlxn
title: CCDC 2110942: Experimental Crystal Structure Determination

description: Related Article: Constantine V. Milyutin, Renata D. Galimova, Andrey N. Komogortsev, Boris V. Lichitskii, Valeriya G. Melekhina, Vasily A. Migulin, Artem N. Fakhrutdinov, Mikhail E. Minyaev|2021|Org.Biomol.Chem.|19|9975|doi:10.1039/D1OB01871J
DOI: 10.5281/zenodo.5572624
title: Tilting test campaign on masonry corners (2021-06-03, UMinho)

description: This experimental dataset gathers the geometrical model tested, the video of the tests and the horizontal load multiplier results. Some additional figures support the experimental campaign.
DOI: 10.5281/zenodo.5572623
title: Tilting test campaign on masonry corners (2021-06-03, UMinho)

description: This experimental dataset gathers the geometrical model tested, the video of the tests and the horizontal load multiplier results. Some additional figures support the experimental campaign.
DOI: 10.5281/zenodo.5574577
title: Tilting test campaign on masonry corners (2021-06-22, UMinho)

description: This experimental dataset gathers the geometrical model tested, the video of the tests and the horizontal load multiplier results. Some additional figures support the experimental campaign.
DOI: 10.5281/zenodo.5572650
title: Tilting test campaign on masonry corners (2021-06-22, UMinho)

description: This experimental dataset gathers the geometrical model tested, the video of the tests and the horizontal load multiplier results. Some additional figures support the experimental campaign.
DOI: 10.5281/zenodo.4430998
title: Simulation results for AGS paper

description: Simulation data results for the DrugLogics AGS paper. See https://github.com/druglogics/ags-paper
DOI: 10.5281/zenodo.3981044
title: Simulation results for AGS paper

description: Simulation data results for the DrugLogics AGS paper. See https://github.com/druglogics/ags-paper
DOI: 10.6084/m9.figshare.3761562.v2054
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.17039813
title: A 3D deep learning approach to epicardial fat segmentation in non-contrast and post-contrast cardiac CT images

description: Raw CT data of epicardial fat in NRRD format.<br>Training and Testing data<br>Non-contrast and post-contrast datasetGround-truth segmentation
DOI: 10.5281/zenodo.5412197
title: Welche Journaleigenschaften sind für Wissenschaftler*innen bei der Journalauswahl für ihre eigenen Publikationen entscheidend? Ergebnistabellen einer Online-Umfrage

description: Im Rahmen des BMBF-geförderten Projekts "B!SON - Bibliometrisches und Semantisches Open Access Recommender Netzwerk" wurde mittels SoSci Survey (Leiner, 2019) eine Online-Umfrage unter Wissenschaftler*innen durchgeführt. Ziel der Erhebung war es, die Bedeutung verschiedener Eigenschaften wissenschaftlicher Journale bei der Entscheidung für einen Publikationsort seitens der Wissenschaftler*innen zu ermitteln. Die erfragten Eigenschaften wurden mittels Analyse von Fremdsystemen, Literaturrecherche und in Diskussion mit Wissenschaftler:innen ermittelt. Den hier veröffentlichten Daten liegen 884 ausgefüllte Fragebögen zu Grunde (wobei ausschließlich Fragebögen in die Auswertung einbezogen wurden, in denen mindestens 90% der Fragen beantwortet worden waren). Im Fragebogen wurde differenziert zwischen solchen Eigenschaften, anhand derer die Wissenschaftler*innen die Auswahl an in Frage kommenden Journals von vornherein einschränken möchten (Tabelle "B!SON_Survey_Filter_Criteria") und solche, die Wissenschaftler*innen für ihre finale Entscheidung eines Journals aus einer Auswahlliste benötigen ("B!SON_Survey_Journal_Selection"). Dabei konnten die Ausfüllenden zu jeder Journaleigenschaft zwischen den Kategorien einer 5-stufigen Likert-Skala wählen: "überhaupt nicht wichtig - nicht sehr wichtig - einigermaßen wichtig - sehr wichtig - äußerst wichtig". Wenn die Wissenschaftler*innen eine Eigenschaft nicht beurteilen konnten, konnte auch "kann ich nicht sagen" ausgewählt werden. In den beiden Ergebnistabellen sind zu allen im jeweiligen Teil der Umfrage abgefragten Journal-Eigenschaften die Zustimmungsquote (approval percentage) und der darauf aufbauende Rang (rank) gelistet. Die Zustimmungsquote berechnet sich aus dem Prozentsatz der Personen, welche die jeweilige Eigenschaft mit "sehr wichtig" oder "äußerst wichtig" bewertet haben. Zustimmungsquote und Rang werden über alle Befragten hinweg (Spalte overall), sowie innerhalb der 4 Wissenschaftsdisziplinen nach DFG (Natural Sciences, Engineering Sciences, Life Sciences, Humanities and Social Sciences) und der Kategorie Other Sciences dargestellt. Beide Tabellen können nach Zustimmungsquote und Rang pro Wissenschaftsdisziplin oder übergreifend sortiert werden. Hinweis zur Nutzung der HTML-Files: Diese können über den Download-Button heruntergeladen und dann mit einem beliebigen Web-Browser geöffnet und betrachtet werden. Eine englischsprachige Version der Ergebnistabellen ist verfügbar unter / An english version of the results tables is available under: https://doi.org/10.5281/zenodo.5728148
description: This work is funded by the Federal Ministry of Education and Research (BMBF), Germany, funding reference: 16TOA034A.
description: {"references": ["Leiner, D.J. (2019). SoSci Survey (Version 3.1.06) [Computer software]. Available at https://www.soscisurvey.de"]}
DOI: 10.5281/zenodo.5412196
title: Welche Journaleigenschaften sind für Wissenschaftler*innen bei der Journalauswahl für ihre eigenen Publikationen entscheidend? Ergebnistabellen einer Online-Umfrage

description: Im Rahmen des BMBF-geförderten Projekts "B!SON - Bibliometrisches und Semantisches Open Access Recommender Netzwerk" wurde mittels SoSci Survey (Leiner, 2019) eine Online-Umfrage unter Wissenschaftler*innen durchgeführt. Ziel der Erhebung war es, die Bedeutung verschiedener Eigenschaften wissenschaftlicher Journale bei der Entscheidung für einen Publikationsort seitens der Wissenschaftler*innen zu ermitteln. Die erfragten Eigenschaften wurden mittels Analyse von Fremdsystemen, Literaturrecherche und in Diskussion mit Wissenschaftler:innen ermittelt. Den hier veröffentlichten Daten liegen 884 ausgefüllte Fragebögen zu Grunde (wobei ausschließlich Fragebögen in die Auswertung einbezogen wurden, in denen mindestens 90% der Fragen beantwortet worden waren). Im Fragebogen wurde differenziert zwischen solchen Eigenschaften, anhand derer die Wissenschaftler*innen die Auswahl an in Frage kommenden Journals von vornherein einschränken möchten (Tabelle "B!SON_Survey_Filter_Criteria") und solche, die Wissenschaftler*innen für ihre finale Entscheidung eines Journals aus einer Auswahlliste benötigen ("B!SON_Survey_Journal_Selection"). Dabei konnten die Ausfüllenden zu jeder Journaleigenschaft zwischen den Kategorien einer 5-stufigen Likert-Skala wählen: "überhaupt nicht wichtig - nicht sehr wichtig - einigermaßen wichtig - sehr wichtig - äußerst wichtig". Wenn die Wissenschaftler*innen eine Eigenschaft nicht beurteilen konnten, konnte auch "kann ich nicht sagen" ausgewählt werden. In den beiden Ergebnistabellen sind zu allen im jeweiligen Teil der Umfrage abgefragten Journal-Eigenschaften die Zustimmungsquote (approval percentage) und der darauf aufbauende Rang (rank) gelistet. Die Zustimmungsquote berechnet sich aus dem Prozentsatz der Personen, welche die jeweilige Eigenschaft mit "sehr wichtig" oder "äußerst wichtig" bewertet haben. Zustimmungsquote und Rang werden über alle Befragten hinweg (Spalte overall), sowie innerhalb der 4 Wissenschaftsdisziplinen nach DFG (Natural Sciences, Engineering Sciences, Life Sciences, Humanities and Social Sciences) und der Kategorie Other Sciences dargestellt. Beide Tabellen können nach Zustimmungsquote und Rang pro Wissenschaftsdisziplin oder übergreifend sortiert werden. Hinweis zur Nutzung der HTML-Files: Diese können über den Download-Button heruntergeladen und dann mit einem beliebigen Web-Browser geöffnet und betrachtet werden. Eine englischsprachige Version der Ergebnistabellen ist verfügbar unter / An english version of the results tables is available under: https://doi.org/10.5281/zenodo.5728148
description: This work is funded by the Federal Ministry of Education and Research (BMBF), Germany, funding reference: 16TOA034A.
description: {"references": ["Leiner, D.J. (2019). SoSci Survey (Version 3.1.06) [Computer software]. Available at https://www.soscisurvey.de"]}
DOI: 10.14272/affxnoiulzqaml-uhfffaoysa-n/chmo0000604
title: heteronuclear single quantum coherence (HSQC) (4-chloro-2-methyl-5-propan-2-ylphenol)
title: InChI=1S/C10H13ClO/c1-6(2)8-5-10(12)7(3)4-9(8)11/h4-6,12H,1-3H3

description: dataset for heteronuclear single quantum coherence (HSQC)
DOI: 10.14272/affxnoiulzqaml-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (4-chloro-2-methyl-5-propan-2-ylphenol)
title: InChI=1S/C10H13ClO/c1-6(2)8-5-10(12)7(3)4-9(8)11/h4-6,12H,1-3H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, Chloroform-d [77.0 ppm], ppm) δ = 152.6, 144.4, 131.2, 124.3, 122.6, 113.0, 29.9, 22.6 (2C), 15.1.
DOI: 10.14272/affxnoiulzqaml-uhfffaoysa-n/chmo0000596.1
title: distortionless enhancement with polarization transfer (DEPT) (4-chloro-2-methyl-5-propan-2-ylphenol)
title: InChI=1S/C10H13ClO/c1-6(2)8-5-10(12)7(3)4-9(8)11/h4-6,12H,1-3H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/affxnoiulzqaml-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (4-chloro-2-methyl-5-propan-2-ylphenol)
title: InChI=1S/C10H13ClO/c1-6(2)8-5-10(12)7(3)4-9(8)11/h4-6,12H,1-3H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, Chloroform-d [7.27 ppm], ppm) δ = 7.10 (d, J = 0.5 Hz, 1H), 6.71 (s, 1H), 3.32 (sept, J = 6.8 Hz, 1H), 2.20 (s, 3H), 1.21 (d, J = 6.8 Hz, 6H). Missing Signal (1H, OH)
DOI: 10.14272/affxnoiulzqaml-uhfffaoysa-n/chmo0000596
title: distortionless enhancement with polarization transfer (DEPT) (4-chloro-2-methyl-5-propan-2-ylphenol)
title: InChI=1S/C10H13ClO/c1-6(2)8-5-10(12)7(3)4-9(8)11/h4-6,12H,1-3H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/affxnoiulzqaml-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) (4-chloro-2-methyl-5-propan-2-ylphenol)
title: InChI=1S/C10H13ClO/c1-6(2)8-5-10(12)7(3)4-9(8)11/h4-6,12H,1-3H3

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 3326 (w), 2963 (s), 2927 (w), 2902 (w), 2870 (w), 1616 (w), 1579 (w), 1567 (w), 1517 (w), 1487 (vs), 1456 (s), 1395 (vs), 1377 (s), 1364 (s), 1347 (s), 1283 (s), 1261 (vs), 1211 (s), 1177 (s), 1150 (vs), 1135 (vs), 1106 (s), 1078 (s), 1035 (m), 1004 (s), 972 (m), 924 (w), 878 (vs), 857 (m), 785 (vs), 707 (m), 652 (m), 626 (vs), 592 (m), 562 (m), 537 (m), 517 (m), 493 (m), 466 (s), 424 (m), 412 (m), 405 (m), 387 (m), 375 (m) cm–1.
DOI: 10.14272/affxnoiulzqaml-uhfffaoysa-n/chmo0000601
title: heteronuclear multiple bond coherence (HMBC) (4-chloro-2-methyl-5-propan-2-ylphenol)
title: InChI=1S/C10H13ClO/c1-6(2)8-5-10(12)7(3)4-9(8)11/h4-6,12H,1-3H3

description: dataset for heteronuclear multiple bond coherence (HMBC)
DOI: 10.14272/affxnoiulzqaml-uhfffaoysa-n.1
title: 4-chloro-5-isopropyl-2-methyl-phenol
title: InChI=1S/C10H13ClO/c1-6(2)8-5-10(12)7(3)4-9(8)11/h4-6,12H,1-3H3

description: This dataset contains experimental data from a sample (4-chloro-2-methyl-5-propan-2-ylphenol, InChI=1S/C10H13ClO/c1-6(2)8-5-10(12)7(3)4-9(8)11/h4-6,12H,1-3H3). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) distortionless enhancement with polarization transfer (DEPT) distortionless enhancement with polarization transfer (DEPT) heteronuclear single quantum coherence (HSQC) heteronuclear multiple bond coherence (HMBC) mass spectrometry (MS) infrared absorption spectroscopy (IR)
DOI: 10.14272/affxnoiulzqaml-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) (4-chloro-2-methyl-5-propan-2-ylphenol)
title: InChI=1S/C10H13ClO/c1-6(2)8-5-10(12)7(3)4-9(8)11/h4-6,12H,1-3H3

description: dataset for mass spectrometry (MS) MS (EI, 70 eV, 20 °C), m/z (%): 184/186 (60/18) [M]+, 169/171 (100/34), 133 (25), 105 (34), 91 (12), 77 (23), 69 (15).HRMS–EI (C10H13OCl) (m/z): [M]+ Calcd 184.0649; Found 184.0651.
DOI: 10.5281/zenodo.5674994
title: Primary Data of https://doi.org/10.1038/s41467-021-27286-5

description: Raw single-molecule total internal reflection fluorescence microscopy images underlying the main figures of the paper https://doi.org/10.1038/s41467-021-27286-5.
DOI: 10.5281/zenodo.5674993
title: Primary Data of https://doi.org/10.1038/s41467-021-27286-5

description: Raw single-molecule total internal reflection fluorescence microscopy images underlying the main figures of the paper https://doi.org/10.1038/s41467-021-27286-5.