cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6518370
title: Algorithmic Fairness Datasets

description: This dataset presents the description and the references for the datasets used in the fairness literature. We target this data documentation debt by surveying over two hundred datasets employed in algorithmic fairness research, and producing standardized and searchable documentation for each of them. For over 95% of the surveyed datasets, we identified at least one contact involved in the data curation process or familiar with the dataset, who received a preliminary version of the respective data brief and a request for corrections and additions. Data briefs are meant as short documentation providing essential information on datasets used in fairness research.
description: The dataset is a supplement to the preprint paper available here: https://arxiv.org/abs/2202.01711
DOI: 10.5281/zenodo.6587217
title: Algorithmic Fairness Datasets

description: This dataset presents the description and the references for the datasets used in the fairness literature. We target this data documentation debt by surveying over two hundred datasets employed in algorithmic fairness research, and producing standardized and searchable documentation for each of them. For over 95% of the surveyed datasets, we identified at least one contact involved in the data curation process or familiar with the dataset, who received a preliminary version of the respective data brief and a request for corrections and additions. Data briefs are meant as short documentation providing essential information on datasets used in fairness research.
description: The dataset is a supplement to the preprint paper available here: https://arxiv.org/abs/2202.01711
DOI: 10.5281/zenodo.7408391
title: Algorithmic Fairness Datasets

description: This dataset presents the description and the references for the datasets used in the fairness literature. We target this data documentation debt by surveying over two hundred datasets employed in algorithmic fairness research, and producing standardized and searchable documentation for each of them. For over 95% of the surveyed datasets, we identified at least one contact involved in the data curation process or familiar with the dataset, who received a preliminary version of the respective data brief and a request for corrections and additions. Data briefs are meant as short documentation providing essential information on datasets used in fairness research.
description: The dataset is a supplement to the preprint paper available here: https://arxiv.org/abs/2202.01711
description: {"references": ["A. Fabris and S. Messina and G. Silvello and G.A. Susto. Algorithmic fairness datasets: the story so far. Data Mining and Knowledge Discovery - DOI: 10.1007/s10618-022-00854-z"]}
DOI: 10.17632/tv6rs85pmx.1
title: Short-term recovery after NovaSure® endometrial ablation: a prospective cohort study

description: Research data of the trial
DOI: 10.17632/vcnchrb7rh.1
title: Dietary salt supplementation adversely affects thermal acclimation responses of flight ability in Drosophila melanogaster

description: Raw data for Dietary salt supplementation adversely affects thermal acclimation responses of flight ability in Drosophila melanogaster (manuscript INSPHY-D-22-00024R1)  published in the Journal of Insect Physiology.
Abstract:
Cold acclimation may enhance low temperature flight ability, and salt loading can alter an insects’ cold tolerance
by affecting their ability to maintain ion balance in the cold. Presently however, it remains unclear if dietary salt
impacts thermal acclimation of flight ability in insects. Here, we examined the effect of a combination of dietary
salt loading (either NaCl or KCl) and low temperature exposure on the flight ability of Drosophila melanogaster at
low (15 °C) and benign (optimal, 22 °C) temperatures. Additionally, we determined whether dietary salt supplementation
translates into increased K+ and Na+ levels in the bodies of D. melanogaster. Lastly, we determined
whether salt supplementation impacts body mass and wing morphology, to ascertain whether any changes in
flight ability were potentially driven by flight-related morphometric variation. In control flies, we find that cold
acclimation enhances low temperature flight ability over non-acclimated flies confirming the beneficial acclimation
hypothesis (BAH). By contrast, flies supplemented with KCl that were cold acclimated and tested at a cold
temperature had the lowest flight ability, suggesting that excess dietary KCl during development negates the beneficial
cold acclimation process that would have otherwise taken place. Overall, the NaCl-supplemented flies and
the control group had the greatest flight ability, whilst those with the KCl-supplemented diet had the lowest. Dietary
salt supplementation translated into increased Na+ and K+ concentration in the body tissues of flies, confirming
that dietary shifts are reflected in changes in body composition and are not simply regulated out of the
body by homeostasis over the course of development. Flies fed with a KCl-supplemented diet tended to be larger
with larger wings, whilst those reared on the control or NaCl-supplemented diet were smaller with smaller wings.
Additionally, the flies with greater flight ability tended to be smaller and have lower WL. In conclusion, dietary
salts affected wing morphology as well as ions balance, and dietary KCl seemed to have a detrimental effect on
cold acclimation responses of flight ability in D. melanogaster.

Data deposited: flight data (0 or 1) of Drosophila melanogaster in response to acclimation and dietary salt supplementation at two assay temperatures (Drosophila flight data.xlsx), an Excel file containing whole body measurements of Na, Mg, P, K, Ca, Fe present in the bodies of Drosophila melanogaster, obtained through ICP-MS analysis (ICP MS results.xlsx) and an Excel file containing wing measurements and mass data for Drosophila melanogaster from different treatments (Wing measurements.xlsx).
Scripts: Drosophila flight data.R, Ions.R and Wing.measrements.R
DOI: 10.5281/zenodo.7129021
title: Combination of whole genome sequencing and Supervised Machine Learning provides unambiguous identification of enterohemorrhagic Escherichia coli in raw milk

description: These dataset are used in the "rename_list_of_groups.ipynb" notebook
DOI: 10.5281/zenodo.7129020
title: Combination of whole genome sequencing and Supervised Machine Learning provides unambiguous identification of enterohemorrhagic Escherichia coli in raw milk

description: These dataset are used in the "rename_list_of_groups.ipynb" notebook
DOI: 10.5281/zenodo.6967325
title: SyntCities

description: Synthetic dataset for disparity estimation oriented to remote sensing applications.
description: Our full article can be found at: https://ieeexplore.ieee.org/document/9960780
DOI: 10.5281/zenodo.6967324
title: SyntCities

description: Synthetic dataset for disparity estimation oriented to remote sensing applications.
description: Our full article can be found at: https://ieeexplore.ieee.org/document/9960780
DOI: 10.57745/qarrfs/foibwj
title: 1_dendro_Table.txt

description: Evolution of generic dendrometric and carbon variables over the years of a given silvicultural scenario
DOI: 10.57745/qarrfs/nb9mfx
title: 2_info_model_ini.txt

description: Model characteristics and stand initialisation parameters used to simulate a given silvicultural scenario
DOI: 10.57745/qarrfs/ocvok8
title: 2_info_model_ini.tab

description: Model characteristics and stand initialisation parameters used to simulate a given silvicultural scenario.
DOI: 10.57745/qarrfs/ta3k9m
title: 1_dendro_Table.tab

description: Evolution of generic dendrometric and carbon variables over the years of a given silvicultural scenario.
DOI: 10.57745/qarrfs/voaoja
title: 1_dendro_Table.tab

description: Evolution of generic dendrometric and carbon variables over the years of a given silvicultural scenario.
DOI: 10.57745/3krc2y
title: Description of variables.tab

description: Description of variables for the first table (dendro_Table) and second table (info_model_ini) of this dataset.
DOI: 10.6084/m9.figshare.21687581
title: Dataset - Delaunay et al. 2022 - The evolutionary origin of avian facial bristles and the likely role of rictal bristles in feeding ecology

description: Measurements of presence, length and shape of rictal bristles, and recordig of other facial bristle presence in 1,022 avian species, with their feeding ecological traits.
DOI: 10.6084/m9.figshare.21687581.v1
title: Dataset - Delaunay et al. 2022 - The evolutionary origin of avian facial bristles and the likely role of rictal bristles in feeding ecology

description: Measurements of presence, length and shape of rictal bristles, and recordig of other facial bristle presence in 1,022 avian species, with their feeding ecological traits.
DOI: 10.7910/dvn/pqi8sn
title: Social media filter

description: This dataset
DOI: 10.5258/soton/d2175
title: Data supporting the journal article 'Broadband Compact Substrate-Independent Textile Wearable Antenna for Simultaneous Near- and Far-Field Wireless Power Transmission'

description: Dataset supporting the article "Broadband Compact Substrate-Independent Textile Wearable Antenna for Simultaneous Near- and Far-Field Wireless Power Transmission", in the IEEE Open Journal of Antennas and Propagation This dataset contains: DiscPatt_&lt;..&gt;.txt Simulated radiation patterns at different frequencies and axes Gain_Measuremetns_simulations.csv Measured and simulated gain over frequency Load_PCE_&lt;power_frequency&gt;.txt ADS simulated rectifier efficiency Nearfield_S21.csv Measured s21 over distance for the MR WPT Rectifier_PCE.csv Measured and simulated PCE of the rectifier over power_frequency Wireless_PCE.csv Measured wireless PCE of the rectenna WPT_&lt;,,,&gt;.txt Analytical WPT efficiency for critical coupling over frequency
DOI: 10.5281/zenodo.4309607
title: Mesocoms investigation of seaweed fragment degradation and skinking rates

description: This dataset provides the results of a 35 day investigation of macroalgal fragment degradation and sinking rates, that took place in late summer and autumn of 2017, in Plymouth Marine Laboratory, UK. Specimens were collected by hand, from the shore at Rame Head (50°18' 41.9″ N 4°13' 15.9″ W). Sinking rates were estimated in a stationary seawater column in the laboratory, and are provided against fragment weight for 3 species of macroalgae, at the beginning and end of incubations. Experimental conditions are described.
DOI: 10.5281/zenodo.7327769
title: Datasets of "Modified propagation of gravitational waves from the early radiation era"

description: This directory contains an index.html file with links to the run<br> directories with secondary data for the other<br> figures for the paper "Modified propagation of gravitational waves<br> from the early radiation era" by Y. He, A. Roper Pol, and A. Brandenburg.<br> If anything turns out to be incomplete,<br> please email yutong.he@su.se.
DOI: 10.5281/zenodo.7327770
title: Datasets of "Modified propagation of gravitational waves from the early radiation era"

description: This directory contains an index.html file with links to the run<br> directories with secondary data for the other<br> figures for the paper "Modified propagation of gravitational waves<br> from the early radiation era" by Y. He, A. Roper Pol, and A. Brandenburg.<br> If anything turns out to be incomplete,<br> please email yutong.he@su.se.
DOI: 10.5281/zenodo.7408601
title: Datasets of "Modified propagation of gravitational waves from the early radiation era"

description: This directory contains an index.html file with links to the run<br> directories with secondary data for the other<br> figures for the paper "Modified propagation of gravitational waves<br> from the early radiation era" by Y. He, A. Roper Pol, and A. Brandenburg.<br> If anything turns out to be incomplete,<br> please email yutong.he@su.se.
DOI: 10.6084/m9.figshare.21680297
title: OPR_dp_processed.hdf5

description: example Data for ptyLab
DOI: 10.6084/m9.figshare.21680297.v1
title: dp_processed.hdf5

description: example Data for ptyLab
DOI: 10.6084/m9.figshare.21680297.v2
title: OPR_dp_processed.hdf5

description: example Data for ptyLab
DOI: 10.6084/m9.figshare.21687644
title: SiemensStar_dp_processed.hdf5

description: example Data for ptyLab
DOI: 10.6084/m9.figshare.21687644.v2
title: SiemensStar_dp_processed.hdf5

description: example Data for ptyLab
DOI: 10.6084/m9.figshare.21687644.v1
title: Untitled Item

description: example Data for ptyLab
DOI: 10.14272/auwolmbwhpkjsd-bpwzrwdxsa-m/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C25H27N2.2BrH/c26-15-18-27-16-13-22(14-17-27)8-12-25-19-23-6-5-20-1-3-21(4-2-20)7-10-24(25)11-9-23;;/h1-4,8-9,11-14,16-17,19H,5-7,10,15,18,26H2;2*1H/q+1;;/p-1/b12-8+;;

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 2951 (w), 2925 (m), 2891 (w), 2854 (m), 2813 (w), 2800 (w), 2775 (w), 2713 (w), 2615 (w), 1643 (s), 1613 (vs), 1587 (m), 1517 (m), 1493 (m), 1483 (w), 1473 (w), 1439 (w), 1187 (s), 1174 (m), 1145 (m), 982 (m), 916 (w), 895 (w), 839 (m), 800 (m), 717 (s), 581 (w), 518 (s), 448 (w) cm–1.
DOI: 10.14272/auwolmbwhpkjsd-bpwzrwdxsa-m/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C25H27N2.2BrH/c26-15-18-27-16-13-22(14-17-27)8-12-25-19-23-6-5-20-1-3-21(4-2-20)7-10-24(25)11-9-23;;/h1-4,8-9,11-14,16-17,19H,5-7,10,15,18,26H2;2*1H/q+1;;/p-1/b12-8+;;

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, DMSO-d6, ppm) δ = 159.1 (Cq, CPy), 150.0 (+, 2C, CPy), 146.5 (Cq, CAr), 145.5 (+, CH CAr), 144.3 (Cq, CAr), 144.3 (+, CH CAr), 144.1 (Cq, CAr), 140.5 (+, CH CAr), 140.5 (+, CH CAr), 140.0 (+, CH CAr), 138.4 (+, CH CAr), 138.3 (+, CH CAr), 136.8 (+, CH CAr), 136.2 (+, CH CAr), 135.3 (+, CH CAr), 129.3 (+, 2C, CPy), 128.6 (+, CH CAr), 62.1 (–, CH2), 40.0 (–, CH2), 40.0 (–, CH2), 39.8 (–, CH2), 38.4 (–, CH2), 38.4 (–, CH2).
DOI: 10.14272/auwolmbwhpkjsd-bpwzrwdxsa-m/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C25H27N2.2BrH/c26-15-18-27-16-13-22(14-17-27)8-12-25-19-23-6-5-20-1-3-21(4-2-20)7-10-24(25)11-9-23;;/h1-4,8-9,11-14,16-17,19H,5-7,10,15,18,26H2;2*1H/q+1;;/p-1/b12-8+;;

description: dataset for mass spectrometry (MS) MS (ESI, 70 eV, 20 °C, %) m/z = 355/356 (100/27) [M–HBr–Br]+.HRMS-ESI (m/z): [M–HBr–Br]+ calc. for C25H27N2, 355.2169; found: 355.2161.
DOI: 10.14272/auwolmbwhpkjsd-bpwzrwdxsa-m/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C25H27N2.2BrH/c26-15-18-27-16-13-22(14-17-27)8-12-25-19-23-6-5-20-1-3-21(4-2-20)7-10-24(25)11-9-23;;/h1-4,8-9,11-14,16-17,19H,5-7,10,15,18,26H2;2*1H/q+1;;/p-1/b12-8+;;

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, DMSO-d6, ppm) δ = 8.92 (d, J = 6.7 Hz, 2H, HPy), 8.45 (d, J = 6.5 Hz, 2H, HPy), 8.06–7.96 (m, 4H, CH3, CH=CH), 7.33 (d, J = 16.1 Hz, 1H, CH=CH), 6.96 (d, J = 1.8 Hz, 1H, HAr), 6.66 (dd, J = 7.9, 1.7 Hz, 1H, HAr), 6.58 (d, J = 11.5 Hz, 3H, HAr), 6.48–6.38 (m, 2H, HAr), 4.78 (t, J = 5.7 Hz, 2H, CH2), 3.84–3.74 (m, 1H, Hpc), 3.53 (t, J = 5.7 Hz, 2H, CH2), 3.19–2.95 (m, 5H, Hpc), 2.95–2.85 (m, 2H, Hpc).
DOI: 10.14272/auwolmbwhpkjsd-bpwzrwdxsa-m.1
title: C25H28Br2N2
title: InChI=1S/C25H27N2.2BrH/c26-15-18-27-16-13-22(14-17-27)8-12-25-19-23-6-5-20-1-3-21(4-2-20)7-10-24(25)11-9-23;;/h1-4,8-9,11-14,16-17,19H,5-7,10,15,18,26H2;2*1H/q+1;;/p-1/b12-8+;;

description: This dataset contains experimental data from a sample (InChI=1S/C25H27N2.2BrH/c26-15-18-27-16-13-22(14-17-27)8-12-25-19-23-6-5-20-1-3-21(4-2-20)7-10-24(25)11-9-23;;/h1-4,8-9,11-14,16-17,19H,5-7,10,15,18,26H2;2*1H/q+1;;/p-1/b12-8+;;). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) mass spectrometry (MS) infrared absorption spectroscopy (IR)
DOI: 10.6084/m9.figshare.21680201
title: pbmc_raw.h5ad.gz

description: Raw pbmc dataset used for population-level atlas in scPoli
DOI: 10.6084/m9.figshare.21680201.v1
title: pbmc_raw.h5ad.gz

description: Raw pbmc dataset used for population-level atlas in scPoli
DOI: 10.5281/zenodo.7405566
title: Codes to replicate statistical analysis in UPLIFT project Deliverable 2.4 Synthesis report, Chapter 6

description: Policies attempting to mitigate the effects of urban inequality, often disregard affected citizens’ experiences, and thus fail to achieve maximum impact. By incorporating these perspectives into the policy design process, the project "Urban PoLicy Innovation to address inequality with and for Future generaTions" (UPLIFT), funded under the EU Horizon 2020 program aims to find innovative interventions in a bottom-up approach. The aims of UPLIFT project are to understand patterns and trends of inequality across Europe and to understand how individuals experience and adapt to inequality through participatory research. Moreover the project will together with the communities in four locations, co-design a policy tool aimed at addressing and reducing inequality and socio-economic divisions. The activity and results of the project can be followed at https://www.uplift-youth.eu/. Deliverable 2.4 (Synthesis report: socioeconomic inequalities in different urban contexts) is the final deliverable of work package 2 of the UPLIFT project, which aims to synthetize the main outcomes of the urban reports that described the policy environment around vulnerable individuals in the fields of education, employment and housing in 16 functional urban areas of the EU. In addition section 6.2 "Statistical analysis of linkages between economic development of cities, their public policy performance and inequality outcomes" of the report provides a statistical analysis of how local economic competitiveness and the local policy context affect urban deprivation and inequality among the young in European cities. The analysis is based on data from 2006, 2009, 2012, 2015 and 2019 of the Quality of Life in European Cities survey.
DOI: 10.5281/zenodo.7405565
title: Codes to replicate statistical analysis in UPLIFT project Deliverable 2.4 Synthesis report, Chapter 6

description: Policies attempting to mitigate the effects of urban inequality, often disregard affected citizens’ experiences, and thus fail to achieve maximum impact. By incorporating these perspectives into the policy design process, the project "Urban PoLicy Innovation to address inequality with and for Future generaTions" (UPLIFT), funded under the EU Horizon 2020 program aims to find innovative interventions in a bottom-up approach. The aims of UPLIFT project are to understand patterns and trends of inequality across Europe and to understand how individuals experience and adapt to inequality through participatory research. Moreover the project will together with the communities in four locations, co-design a policy tool aimed at addressing and reducing inequality and socio-economic divisions. The activity and results of the project can be followed at https://www.uplift-youth.eu/. Deliverable 2.4 (Synthesis report: socioeconomic inequalities in different urban contexts) is the final deliverable of work package 2 of the UPLIFT project, which aims to synthetize the main outcomes of the urban reports that described the policy environment around vulnerable individuals in the fields of education, employment and housing in 16 functional urban areas of the EU. In addition section 6.2 "Statistical analysis of linkages between economic development of cities, their public policy performance and inequality outcomes" of the report provides a statistical analysis of how local economic competitiveness and the local policy context affect urban deprivation and inequality among the young in European cities. The analysis is based on data from 2006, 2009, 2012, 2015 and 2019 of the Quality of Life in European Cities survey.
DOI: 10.14272/aqtvuypmqtwgjz-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (5-nitrotricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaene)
title: InChI=1S/C16H15NO2/c18-17(19)16-11-14-6-5-12-1-3-13(4-2-12)7-9-15(16)10-8-14/h1-4,8,10-11H,5-7,9H2

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, CDCl3, ppm) δ = 7.22 (d, J = 1.9 Hz, 1H, HAr ), 6.79 (dd, J = 7.8, 1.9 Hz, 1H, HAr), 6.64–6.60 (m, 2H, HAr), 6.58–6.53 (m, 2H, HAr), 6.48 (dd, J = 7.9, 1.8 Hz, 1H, HAr), 4.03 (ddd, J = 13.3, 9.3, 2.2 Hz, 1H, HPC), 3.24–3.13 (m, 4H, HPC), 3.12–3.03 (m, 2H, HPC), 2.90 (ddd, J = 13.3, 9.9, 7.2 Hz, 1H, HPC).
DOI: 10.14272/aqtvuypmqtwgjz-uhfffaoysa-n.2
title: C16H15NO2
title: InChI=1S/C16H15NO2/c18-17(19)16-11-14-6-5-12-1-3-13(4-2-12)7-9-15(16)10-8-14/h1-4,8,10-11H,5-7,9H2

description: This dataset contains experimental data from a sample (5-nitrotricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaene, InChI=1S/C16H15NO2/c18-17(19)16-11-14-6-5-12-1-3-13(4-2-12)7-9-15(16)10-8-14/h1-4,8,10-11H,5-7,9H2). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) mass spectrometry (MS) infrared absorption spectroscopy (IR)
DOI: 10.14272/aqtvuypmqtwgjz-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) (5-nitrotricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaene)
title: InChI=1S/C16H15NO2/c18-17(19)16-11-14-6-5-12-1-3-13(4-2-12)7-9-15(16)10-8-14/h1-4,8,10-11H,5-7,9H2

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 2922 (w), 2853 (w), 1513 (vs), 1482 (s), 1451 (m), 1436 (m), 1411 (w), 1401 (w), 1333 (vs), 1300 (s), 1244 (w), 1201 (m), 1180 (m), 1132 (w), 1113 (w), 1095 (m), 1072 (w), 945 (w), 931 (w), 904 (s), 884 (w), 870 (vs), 843 (w), 805 (vs), 789 (s), 756 (m), 722 (m), 703 (s), 694 (s), 673 (s), 633 (vs), 582 (m), 562 (w), 540 (w), 507 (vs), 465 (w), 439 (w), 429 (w), 421 (w), 411 (w), 401 (w), 387 (w), 378 (m) cm–1.
DOI: 10.14272/aqtvuypmqtwgjz-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) (5-nitrotricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaene)
title: InChI=1S/C16H15NO2/c18-17(19)16-11-14-6-5-12-1-3-13(4-2-12)7-9-15(16)10-8-14/h1-4,8,10-11H,5-7,9H2

description: dataset for mass spectrometry (MS) MS (EI, 70 eV, 20 °C, %) m/z = 253 (23) [M]+, 104 (100) [C8H9]+.HRMS-EI (m/z): [M]+, calc. for C16H15NO2, 253.1103; found: 253.1128.
DOI: 10.14272/aqtvuypmqtwgjz-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (5-nitrotricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaene)
title: InChI=1S/C16H15NO2/c18-17(19)16-11-14-6-5-12-1-3-13(4-2-12)7-9-15(16)10-8-14/h1-4,8,10-11H,5-7,9H2

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (101 MHz, CDCl3, ppm) δ = 149.3 (Cq, CAr), 142.1 (Cq, CAr), 139.8 (Cq, CAr), 139.3 (Cq, CAr), 137.8 (+, CH, CAr), 137.4 (+, CH, CAr), 136.5 (Cq, CAr), 133.2 (+, CH, CAr), 133.1 (+, CH, CAr), 132.4 (+, CH, CAr), 130.0 (+, CH, CAr), 129.6 (+, CH, CAr), 36.0 (–, CH2), 35.0 (–, CH2), 34.8 (–, CH2), 34.5 (–, CH2).
DOI: 10.14272/dpzyleiwhtwhcu-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) (3-ethenylpyridine)
title: InChI=1S/C7H7N/c1-2-7-4-3-5-8-6-7/h2-6H,1H2

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 1480 (m), 1473 (m), 1411 (m), 1400 (s), 1024 (s), 989 (vs), 914 (vs), 813 (vs), 713 (vs), 662 (m), 628 (s), 397 (s) cm–1.
DOI: 10.14272/dpzyleiwhtwhcu-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) (3-ethenylpyridine)
title: InChI=1S/C7H7N/c1-2-7-4-3-5-8-6-7/h2-6H,1H2

description: dataset for mass spectrometry (MS) MS (EI, 70 eV, 20 °C, %) m/z = 105/104 (100/78), [M]+.HRMS-EI (m/z): [M + H]+, calc. for C7H7N, 105.0578; found: 105.0781.