cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc258qmt
title: CCDC 2004386: Experimental Crystal Structure Determination

description: Related Article: Saurabh Kumar,  Joel T. Mague,  Maravanji S. Balakrishna|2020|Eur.J.Inorg.Chem.|2020|2718|doi:10.1002/ejic.202000520
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc255gmg
title: CCDC 2001255: Experimental Crystal Structure Determination

description: Related Article: Joan Soldevila-Sanmartín, Xavier Montaner, Teresa Calvet, Mercè Font-Bardia, Josefina Pons|2020|Polyhedron|188|114686|doi:10.1016/j.poly.2020.114686
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc255gqk
title: CCDC 2001258: Experimental Crystal Structure Determination

description: Related Article: Joan Soldevila-Sanmartín, Xavier Montaner, Teresa Calvet, Mercè Font-Bardia, Josefina Pons|2020|Polyhedron|188|114686|doi:10.1016/j.poly.2020.114686
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7339630
title: coin_dataset

description: Nuestro dataset consiste en una lista de las 100 mejores criptomonedas con 10 observaciones cada una recojidas durante 10 minutos y ordenadas según su capitalización de mercado, junto a algunos de los datos que hemos considerado más relevantes para su análisis. En total contiene 1000 observaciones con 7 variables, lo que da un volumen de 7000 datos.
DOI: 10.5281/zenodo.7339629
title: coin_dataset

description: Nuestro dataset consiste en una lista de las 100 mejores criptomonedas con 10 observaciones cada una recojidas durante 10 minutos y ordenadas según su capitalización de mercado, junto a algunos de los datos que hemos considerado más relevantes para su análisis. En total contiene 1000 observaciones con 7 variables, lo que da un volumen de 7000 datos.
DOI: 10.6084/m9.figshare.19925945
title: C1LinearOscFading02.zip

description: Sample data for dumped oscillator (fast oscillations)
DOI: 10.6084/m9.figshare.19925945.v2
title: C1LinearOscFading02.zip

description: Sample data for dumped oscillator (fast oscillations)
DOI: 10.6084/m9.figshare.19924823
title: C1LinearOscillator02.zip

description: Sample data from undamped oscillator (fast oscillations)
DOI: 10.6084/m9.figshare.21594342.v1
title: CKDu-Proteomics-Supplementary-Data

description: Supplementary file with figures S1 -S9 and table S4. Supplementary tables S1 - S3, S5 -S7.
DOI: 10.6084/m9.figshare.19924823.v2
title: C1LinearOscillator02.zip

description: Sample data from undamped oscillator (fast oscillations)
DOI: 10.6084/m9.figshare.21594342
title: CKDu-Proteomics-Supplementary-Data

description: Supplementary file with figures S1 -S9 and table S4. Supplementary tables S1 - S3, S5 -S7.
DOI: 10.6084/m9.figshare.19924724
title: C1LinearOscFading01.zip

description: Sample data from dumped oscillator (fast oscillations)
DOI: 10.6084/m9.figshare.19924724.v2
title: C1LinearOscFading01.zip

description: Sample data from dumped oscillator (fast oscillations)
DOI: 10.6084/m9.figshare.19924475.v1
title: C1LinearOscillator01.zip

description: Sample data from undamped oscillator (slow oscillations)
DOI: 10.6084/m9.figshare.19924475
title: C1LinearOscillator01.zip

description: Sample data from undamped oscillator (slow oscillations)
DOI: 10.6084/m9.figshare.19924475.v2
title: C1LinearOscillator01.zip

description: Sample data from undamped oscillator (slow oscillations)
DOI: 10.6084/m9.figshare.19919684
title: C0ModelRucklideA515.zip

description: Sample data from Rucklidge attractor
DOI: 10.6084/m9.figshare.19919684.v2
title: C0ModelRucklideA515.zip

description: Sample data from Rucklidge attractor
DOI: 10.6084/m9.figshare.19919678
title: C0ModelHalvorsenA513.zip

description: Sample data from Halvorsen’s cyclically symmetric attractor
DOI: 10.6084/m9.figshare.19919678.v2
title: C0ModelHalvorsenA513.zip

description: Sample data from Halvorsen’s cyclically symmetric attractor
DOI: 10.6084/m9.figshare.19919645
title: C0ModelRoslerA52.zip

description: Sample data from Rosler attractor
DOI: 10.6084/m9.figshare.19919645.v2
title: C0ModelRoslerA52.zip

description: Sample data from Rosler attractor
DOI: 10.6084/m9.figshare.19919597
title: C0ModelLorenzA51.zip

description: Sample data from Lorentz attractor
DOI: 10.6084/m9.figshare.19919597.v2
title: C0ModelLorenzA51.zip

description: Sample data from Lorentz attractor
DOI: 10.6084/m9.figshare.19913797
title: C0ModelUedaA45.zip

description: Sample data from Ueda chaotic dynamical system
DOI: 10.6084/m9.figshare.19913797.v3
title: C0ModelUedaA45.zip

description: Sample data from Ueda chaotic dynamical system
DOI: 10.6084/m9.figshare.21594390
title: Round 5 - Cog test

description: The folder contains datasets of cognitive performance (math and literature) of primary school grade 3 and grade 4 students and lower secondary school grade 9 students in Vietnam in 2020.
DOI: 10.6084/m9.figshare.21594390.v1
title: Round 5 - Cog test

description: The folder contains datasets of cognitive performance (math and literature) of primary school grade 3 and grade 4 students and lower secondary school grade 9 students in Vietnam in 2020.
DOI: 10.6084/m9.figshare.21594396
title: Round 5 - Noncognitive test

description: The folder contains datasets of non-cognitive test performance of primary school grade 3 and grade 4 students and lower secondary school grade 9 students in Vietnam in 2020.
DOI: 10.6084/m9.figshare.21594396.v1
title: Round 5 - Noncognitive test

description: The folder contains datasets of non-cognitive test performance of primary school grade 3 and grade 4 students and lower secondary school grade 9 students in Vietnam in 2020.
DOI: 10.6084/m9.figshare.21594399
title: Round 5 - Community survey

description: The folder contains datasets from a community survey collected in 2020 in Vietnam. <br>
DOI: 10.6084/m9.figshare.21594399.v1
title: Round 5 - Community survey

description: The folder contains datasets from a community survey collected in 2020 in Vietnam. <br>
DOI: 10.6084/m9.figshare.21594405.v1
title: Round 5 - Parent survey

description: The folder contains datasets from a parent survey of primary school grade 4 and lower secondary grade 9 parents in Vietnam in 2020.
DOI: 10.6084/m9.figshare.21594405
title: Round 5 - Parent survey

description: The folder contains datasets from a parent survey of primary school grade 4 and lower secondary grade 9 parents in Vietnam in 2020.
DOI: 10.6084/m9.figshare.21586923.v2
title: CVEjoin: A Dataset of Information-Security Vulnerability and Threat Intelligence

description: It is impossible to accurately assess the risk of exploiting vulnerabilities using a single metric, such as the Common Vulnerability Scoring System (CVSS). This approach disregards the global threat landscape and the vulnerable asset. Therefore, in addition to using traditional Vulnerability Management (VM) tools, analysts, and researchers must manually curate datasets containing threat intelligence and context-specific information about security flaws. However, this activity is non-trivial and error-prone. To aid this endeavor, we developed a fully automated tool capable of gathering data about the intrinsic characteristics of vulnerabilities presented in the National Vulnerability Database (NVD) and augmented it with information collected from multiple security feeds and social networks. Altogether, we collected data on more than 100,000 vulnerabilities that can be used for various research topics, e.g., analyzing the risk of exploiting security flaws, vulnerability severity prediction, etc. In this paper, we present a detailed description of the methodology used to create our dataset and its attributes. Additionally, we perform an exploratory analysis of the data gathered, and finally, we present an illustrative example of how analysts could use the data collected.
DOI: 10.6084/m9.figshare.21586923.v1
title: CVEjoin: A Security Dataset of Vulnerability and Threat Intelligence Information

description: It is impossible to accurately assess the risk of exploiting vulnerabilities using a single metric, such as the Common Vulnerability Scoring System (CVSS). This approach disregards the global threat landscape and the vulnerable asset. Therefore, in addition to using traditional Vulnerability Management (VM) tools, analysts, and researchers must manually curate datasets containing threat intelligence and context-specific information about security flaws. However, this activity is non-trivial and error-prone. To aid this endeavor, we developed a fully automated tool capable of gathering data about the intrinsic characteristics of vulnerabilities presented in the National Vulnerability Database (NVD) and augmented it with information collected from multiple security feeds and social networks. Altogether, we collected data on more than 170,000 vulnerabilities that can be used for various research topics, e.g., analyzing the risk of exploiting security flaws, vulnerability severity prediction, etc. In this paper, we present a detailed description of the methodology used to create our dataset and its attributes. Additionally, we perform an exploratory analysis of the data gathered, and finally, we present an illustrative example of how analysts could use the data collected.
DOI: 10.6084/m9.figshare.21594408
title: Round 5 - Student survey

description: The folder contains datasets from a student survey of primary school grade 4 and lower secondary grade 9 students in Vietnam in 2020.
DOI: 10.6084/m9.figshare.21594408.v1
title: Round 5 - Student survey

description: The folder contains datasets from a student survey of primary school grade 4 and lower secondary grade 9 students in Vietnam in 2020.
DOI: 10.6084/m9.figshare.21594411
title: Round 5 - Teacher survey

description: The folder contains datasets froma teacher survey of primary school grade 3 and grade 4, and lower secondary grade 9 teachers in Vietnam in 2020.
DOI: 10.6084/m9.figshare.21594411.v1
title: Round 5 - Teacher survey

description: The folder contains datasets froma teacher survey of primary school grade 3 and grade 4, and lower secondary grade 9 teachers in Vietnam in 2020.
DOI: 10.5281/zenodo.7343051
title: Absolute Sustainability: Beyond LCA and Green Chemistry Metrics

description: This is a supplementary data to support my application to the Nina McClelland Memorial Award.
DOI: 10.5281/zenodo.7343050
title: Absolute Sustainability: Beyond LCA and Green Chemistry Metrics

description: This is a supplementary data to support my application to the Nina McClelland Memorial Award.
DOI: 10.5281/zenodo.7343036
title: Processed model output used in 'The impact of winds on AMOC in a fully-coupled climate model'

description: Processed model output from wind-nudging experiments used to investigate the Atlantic Meridional Overturning Circulation. For further details, see Roach, L. A, Blanchard-Wrigglesworth E. Ragen, S., Cheng, W., Armour, K. and Bitz, C. M.. (2022). The impact of winds on AMOC in a fully-coupled climate model. In review at Geophysical Research Letters
DOI: 10.5281/zenodo.7343035
title: Processed model output used in 'The impact of winds on AMOC in a fully-coupled climate model'

description: Processed model output from wind-nudging experiments used to investigate the Atlantic Meridional Overturning Circulation. For further details, see Roach, L. A, Blanchard-Wrigglesworth E. Ragen, S., Cheng, W., Armour, K. and Bitz, C. M.. (2022). The impact of winds on AMOC in a fully-coupled climate model. In review at Geophysical Research Letters
DOI: 10.5281/zenodo.7342372
title: Indian Art Music Tonic Datasets (audio)

description: This repository includes the audio for the Indian Art Music Tonic Datasets (https://zenodo.org/record/1257114). Refer to the Indian Art Music Tonic Datasets page to get the features and annotations for the dataset. A complete presentation of the datasets is available there.
DOI: 10.5281/zenodo.7342371
title: Indian Art Music Tonic Datasets (audio)

description: This repository includes the audio for the Indian Art Music Tonic Datasets (https://zenodo.org/record/1257114). Refer to the Indian Art Music Tonic Datasets page to get the features and annotations for the dataset. A complete presentation of the datasets is available there.
DOI: 10.25452/figshare.plus.18470912.v2
title: A large and rich EEG dataset for modeling human visual object recognition

description: Dataset motivation and summary The human brain achieves visual object recognition through multiple stages of linear and nonlinear transformations operating at a millisecond scale. To predict and explain these rapid transformations, computational neuroscientists employ machine learning modeling techniques. However, state-of-the-art models require massive amounts of data to properly train, and to the present day there is a lack of vast brain datasets which extensively sample the temporal dynamics of visual object recognition. Here we collected a large and rich dataset of high temporal resolution EEG responses to images of objects on a natural background. This dataset includes 10 participants, each with 82,160 trials spanning 16,740 image conditions coming from the THINGS database. We release this dataset as a tool to foster research in visual neuroscience and computer vision. Additional dataset information For information regarding the experimental paradigm and the EEG recording protocol and the dataset validation through computational modeling analyses please refer to our paper. Additional data and resources For additional data and resources visit our OSF project, where you can find: A detailed description of the raw EEG data files The preprocessed EEG data The stimuli images The EEG resting state data Citations If you use any of our data, please cite our paper.
DOI: 10.6084/m9.figshare.21594447
title: Round 7 - Teacher phone survey

description: The folder contains datasets from a phone survey of teachers in primary and lower secondary schools in Vietnam in 2022.
DOI: 10.6084/m9.figshare.21594447.v1
title: Round 7 - Teacher phone survey

description: The folder contains datasets from a phone survey of teachers in primary and lower secondary schools in Vietnam in 2022.
DOI: 10.6084/m9.figshare.19929980
title: RC05.zip

description: Sample data for quasi periodic signal (superposition of sine waves; angular frequency ratio equals e= 2,718281828... )
DOI: 10.6084/m9.figshare.19929980.v3
title: RC05.zip

description: Sample data for quasi periodic signal (superposition of sine waves; angular frequency ratio equals e= 2,718281828... )
DOI: 10.5683/sp2/qkj917
title: 2016 Survey of Commute Patterns among Queen's University Employees

description: The objective of this survey was to investigate commute patterns among Queen's employees and to assess whether transit improvements have stimulated interest and willingness among Queen's employees to take Kingston Transit to commute to work. The survey data collected here will also serve as a baseline for subsequent surveys that will assess change in commute patterns to Queen's over time. The findings from this research will offer insights to researchers interested in the impacts of public transit as population health interventions, as well as to Queen's University in terms of understanding how members of their community could make better use of a key public resource in Kingston.
DOI: 10.5683/sp2/jibpl2
title: 2014 Survey of Commute Patterns among Queen's University Employees

description: The objective of this survey was to investigate commute patterns among Queen's employees and to assess whether transit improvements have stimulated interest and willingness among Queen's employees to take Kingston Transit to commute to work. The survey data collected here will also serve as a baseline for subsequent surveys that will assess change in commute patterns to Queen's over time. The findings from this research will offer insights to researchers interested in the impacts of public transit as population health interventions, as well as to Queen's University in terms of understanding how members of their community could make better use of a key public resource in Kingston.
DOI: 10.5683/sp2/51ldxx
title: 2015 Survey of Commute Patterns among Queen's University Employees

description: The objective of this survey was to investigate commute patterns among Queen's employees and to assess whether transit improvements have stimulated interest and willingness among Queen's employees to take Kingston Transit to commute to work. The survey data collected here will also serve as a baseline for subsequent surveys that will assess change in commute patterns to Queen's over time. The findings from this research will offer insights to researchers interested in the impacts of public transit as population health interventions, as well as to Queen's University in terms of understanding how members of their community could make better use of a key public resource in Kingston.
DOI: 10.25625/loklip/2cpkcp
title: EEK+tBuOHcrest8.xyz

description: 3-pentanone+tert butyl alcohol, B3LYP
DOI: 10.25625/loklip/ux685v
title: EEK+tBuOHcrest2.xyz

description: 3-pentanone+tert butyl alcohol, B3LYP
DOI: 10.25625/loklip/q5vb9v
title: CREST_dimers_011.xyz

description: 2-butanone+tert butyl alcohol
DOI: 10.25625/loklip/tyxajw
title: CREST_dimers_02.xyz

description: 2-butanone+tert butyl alcohol
DOI: 10.25625/loklip/yrsrl2
title: 210908-def-3Pentanon-m20C-tBuOH-m10C-0,75barpm.125.txt

description: 3-pentanone+tert butyl alcohol, Fig.G17, Fig.G20
DOI: 10.25625/loklip/ss4w7p
title: 201105-def-2Butanon-m20C-0,75barpm.125.txt

description: pure 2-butanone spectrum; Fig.G17, Fig.G19
DOI: 10.25625/loklip/t6kinu
title: 201211-abc-tBuOH-m15C-0,75barpm.175.txt

description: pure tert-butyl-alcohol spectrum; Fig.G.18, Fig.G19, Fig.G20, Fig.G21, Fig.G22
DOI: 10.25625/loklip/so2upk
title: 201117-de-2Butanon-m15C-tBuOH-m20C-0,75barpm.txt

description: 2-butanone+tert butyl alcohol; Fig.G17, Fig.G18
DOI: 10.25625/loklip/9r5ugf
title: 211013-abcd-TMe3Pent-m5C-0,75barpm.175.txt

description: pure 3-pentanone spectrum, Fig.G17, Fig.G21, Fig.G22
DOI: 10.25625/loklip/7bp0ov
title: 201118-cd-2Butanon-0C-tBuOH-m20C-0,75barpm.125.txt

description: 2-butanone+tert-butyl alcohol
DOI: 10.25625/loklip/oyxk4b
title: 201118-ab-2Butanon-m5C-tBuOH-m20C-0,75barpm.125.txt

description: 2-butanone+tert-butyl alcohol
DOI: 10.25625/loklip/dox9p2
title: 210913-gh-3Pentanon-m5C-tBuOH-m5C-0,75barpm-125.txt

description: 3-pentanone+tert butyl alcohol, Fig.G21
DOI: 10.25625/loklip/t0mwen
title: 210908-jk-3Pentanon-m15C-tBuOH-m5C-0,75barpm.125.txt

description: 3-pentanone+tert butyl alcohol, Fig.G21, Fig.G22
DOI: 10.25625/loklip/r0d1ec
title: 210913-cd-3Pentanon-m15C-tBuOH-p5C-0,75barpm.125.txt

description: 3-pentanone+tert butyl alcohol, Fig.G22
DOI: 10.25625/loklip/of2xhk
title: RevisionRemarks5.2.txt

description: :unav
DOI: 10.25625/loklip
title: 2-butanone or 3-pentanone with tert-butyl alcohol

description: Spectral and structural data for mixed complexes of 2-butanone or 3-pentanone with tBuOH.
DOI: 10.5683/sp2/c0fo0e
title: 2017 Survey of Commute Patterns among Queen's University Employees

description: The objective of this survey was to investigate commute patterns among Queen's employees and to assess whether transit improvements have stimulated interest and willingness among Queen's employees to take Kingston Transit to commute to work. The survey data collected here will also serve as a baseline for subsequent surveys that will assess change in commute patterns to Queen's over time. The findings from this research will offer insights to researchers interested in the impacts of public transit as population health interventions, as well as to Queen's University in terms of understanding how members of their community could make better use of a key public resource in Kingston.
DOI: 10.25625/la2iss/hlzfxe
title: 181010-abcdefg-tBuOH-m10C-Pinakolon-m20C-0,75barpm.425.txt

description: pinacolone+tert butyl alcohol, Fig.F6, Fig.F8
DOI: 10.25625/la2iss/8mxnbj
title: 180925-gh-180926-abcdef-MeOH-m27,5C-Pinakolonm15C-0,75barpm.350.txt

description: pinacolone+methanol; Fig.F6, Fig.F7
DOI: 10.25625/la2iss/vryxur
title: 190122-cde-190123-abcd-CycPnOH-0C-Pinakolon-10C-0,75barpm.300.txt

description: pinacolone+cyclopentanol; Fig.F6, Fig.F4.10
DOI: 10.25625/la2iss/ei4puf
title: 211011-abc-TMe3Pentanon-m29C-MeOH-m35C-0,75barpm.125.txt

description: tert butyl tert butyl ketone+methanol, Fig.F18
DOI: 10.25625/la2iss/jakptz
title: 180925-gh-180926-abcdef-MeOH-m27,5C-Pinakolonm15C-0,75barpm.350.txt

description: pinacolone+methanol
DOI: 10.25625/la2iss/k03u4r
title: 190429-ab-Pinakolon-0C-0.75baripm.75.txt

description: pure pinacolone spectrum, Fig.F6, Fig.F9, Fig.F12, Fig.F13, Fig.F25, Fig.F26
DOI: 10.25625/la2iss/amk7qs
title: 171127-abdefgh-171128-abcde-MeOH-m25C-0,75barpm.425.txt

description: pure methanol spectrum; Fig.F7
DOI: 10.25625/la2iss/z41fpi
title: 180227-abcd-180228-abcde-tertBuOH-m10C-0,75barpm.400.txt

description: pure tert butyl alcohol; Fig.F8, Fig.F9
DOI: 10.25625/la2iss/zjiv16
title: 201214-ef-Pinakolon-m10C-tBuOH-m5C-0,75barpm.125.txt

description: pinacolone+tert butyl alcohol
DOI: 10.25625/la2iss/0j6b0b
title: 201214-cd-Pinakolon-m15C-tBuOH-m5C-0,75barpm.150.txt

description: pinacolone+tert butyl alcohol
DOI: 10.25625/7mnjl1/wmcpab
title: BnAc-MeOH_MM.xyz

description: phenylacetone+MeOH
DOI: 10.25625/la2iss/cb3rhj
title: 190124-a-CycPnOH-p5C-0,75barpm.25.txt

description: pure cyclopentanole spectrum, Fig. F11, Fig.F12, Fig.F13
DOI: 10.25625/la2iss/duayha
title: 1810008-cdefg-181010-abcdefg-tbuOH-m10C-Pinakolon-m20C-0,75barpm.650 .txt

description: pinacolone+tert butyl alcohol; Fig. F10
DOI: 10.25625/7mnjl1/jqxr1e
title: BnAc-MeOH_P.xyz

description: phenylacetone+MeOH
DOI: 10.25625/la2iss/5i9mbz
title: 190110-ijk-CycPnOH-0C-Pinakolon-m5C-0,75barn.125.txt

description: pinacolone+cyclopentanol
DOI: 10.25625/7mnjl1/e8y86w
title: BnAc-MeOH_MP.xyz

description: phenylacetone+MeOH
DOI: 10.25625/la2iss/3pq3iy
title: 190110-ef-CycPnOH-p5C-Pinakolon-m10C-0,75barn.75.txt

description: pinacolone+cyclopentanole; Fig.F13,F12
DOI: 10.25625/7mnjl1/2mleik
title: BnAc_tBuOH_P.xyz

description: phenylacetone+tBuOH
DOI: 10.25625/la2iss/b2p79z
title: 190121-hi-CycPnOH-5C-Pinakolon-0C-0,75barpm.75.txt

description: pinacolone+cyclopentanole
DOI: 10.25625/7mnjl1/yozszi
title: BnAc_tBuOH_M.xyz

description: phenylacetone+tBuOH
DOI: 10.25625/7mnjl1/drpvv3
title: 190619-abcdefg-PhAcet-p25C-tBuOH-p5C-0,75barpm.325.txt

description: phenylacetone+tBuOH
DOI: 10.25625/7mnjl1/mwd24e
title: 180226-hij-180227-abcdefg-tertBuOH-m10C-Acetophenon-p20C-0,75barpm.300.txt

description: acetophenone+tBuOH
DOI: 10.25625/7mnjl1/s8a5km
title: 201211-abcde-Aceton-m35C-tBuOH-m15C-0,75barpm.375.txt

description: acetone+tBuOH; Figure3.13, Fig.D7, Fig.E2, Fig.E3
DOI: 10.25625/7mnjl1/sxkepd
title: 180227-abcd-180228-abcde-tertBuOH-m10C-0,75barpm.400.txt

description: phenylacetone+tBuOH
DOI: 10.25625/7mnjl1/s5fqov
title: 190619-abcdefg-PhAcet-p25C-tBuOH-p5C-0,75barpm.325.txt

description: phenylacetone+tBuOH
DOI: 10.25625/la2iss/kjprpq
title: 190110-cd-CycPnOH-p10C-Pinakolon-m10-0,75barpm.75.txt

description: pinacolone+cyclopentanole; Fig.F13
DOI: 10.25625/7mnjl1/eecthk
title: Ace+BenzOH_Me1.xyz

description: acetophenone+benzyl alcohol