cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3903343
title: Data and code for publication "The role of history and strength of the oceanic forcing in sea level projections from Antarctica with the Parallel Ice Sheet Model"

description: Data and code underlying the publication "The role of history and strength of the oceanic forcing in sea level projections from Antarctica with the Parallel Ice Sheet Model". Journal: The Cryosphere Authors: <em>Ronja Reese<sup>1*</sup></em><em>, Anders Levermann</em><sup><em>1,2,3</em></sup><em>, Torsten Albrecht</em><sup><em>1</em></sup><em>, Hélène Seroussi<sup>4</sup></em><em>, Ricarda Winkelmann<sup>1,2 </sup></em> (1) Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60 12 03, D-14412 Potsdam, Germany (2) Institute of Physics and Astronomy, University of Potsdam, Karl-Liebknecht-Str. 24-25, 14476 Potsdam, Germany (3) LDEO, Columbia University, New York, USA (4) Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA (*) email ronja.reese@pik-potsdam.de Abstract:<br> Mass loss from the Antarctic Ice Sheet constitutes the largest uncertainty in projections of future sea level rise. Ocean-driven melting underneath the floating ice shelves and subsequent acceleration of the inland ice streams is the major reason for currently observed mass loss from Antarctica and is expected to become more important in the future. Here we show that for projections of future mass loss from the Antarctic Ice Sheet, it is essential (1) to better constrain the sensitivity of sub-shelf melt rates to ocean warming and (2) to include the historic trajectory of the ice sheet. In particular, we find that while the ice sheet response in simulations using the Parallel Ice Sheet Model is comparable to the median response of models in three Antarctic Ice Sheet Intercomparison projects – initMIP, LARMIP-2 and ISMIP6 – conducted with a range of ice sheet models, the projected 21st century sea level contribution differs significantly depending on these two factors. For the highest emission scenario RCP8.5, this leads to projected ice loss ranging from 1.4 to 4.0 cm of sea level equivalent in the ISMIP6 simulations where the sub-shelf melt sensitivity is comparably low, opposed to a likely range of 9.2 to 35.9 cm using the exact same initial setup, but emulated from the LARMIP-2 experiments with a higher melt sensitivity based on oceanographic studies. Furthermore, using two initial states, one with and one without a previous historic simulation from 1850 to 2014, we show that while differences between the ice sheet configurations in 2015 are marginal, the historic simulation increases the susceptibility of the ice sheet to ocean warming, thereby increasing mass loss from 2015 to 2100 by about 50 %. Our results emphasize that the uncertainty that arises from the forcing is of the same order of magnitude as the ice dynamic response for future sea level projections. Large zip files contain data, small zip file python notebooks for data analysis and PISM code. Please contact ronja.reese@pik-potsdam.de if you have any further questions.
DOI: 10.5281/zenodo.3903342
title: Data and code for publication "The role of history and strength of the oceanic forcing in sea level projections from Antarctica with the Parallel Ice Sheet Model"

description: Data and code underlying the publication "The role of history and strength of the oceanic forcing in sea level projections from Antarctica with the Parallel Ice Sheet Model". Journal: The Cryosphere Authors: <em>Ronja Reese<sup>1*</sup></em><em>, Anders Levermann</em><sup><em>1,2,3</em></sup><em>, Torsten Albrecht</em><sup><em>1</em></sup><em>, Hélène Seroussi<sup>4</sup></em><em>, Ricarda Winkelmann<sup>1,2 </sup></em> (1) Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60 12 03, D-14412 Potsdam, Germany (2) Institute of Physics and Astronomy, University of Potsdam, Karl-Liebknecht-Str. 24-25, 14476 Potsdam, Germany (3) LDEO, Columbia University, New York, USA (4) Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA (*) email ronja.reese@pik-potsdam.de Abstract:<br> Mass loss from the Antarctic Ice Sheet constitutes the largest uncertainty in projections of future sea level rise. Ocean-driven melting underneath the floating ice shelves and subsequent acceleration of the inland ice streams is the major reason for currently observed mass loss from Antarctica and is expected to become more important in the future. Here we show that for projections of future mass loss from the Antarctic Ice Sheet, it is essential (1) to better constrain the sensitivity of sub-shelf melt rates to ocean warming and (2) to include the historic trajectory of the ice sheet. In particular, we find that while the ice sheet response in simulations using the Parallel Ice Sheet Model is comparable to the median response of models in three Antarctic Ice Sheet Intercomparison projects – initMIP, LARMIP-2 and ISMIP6 – conducted with a range of ice sheet models, the projected 21st century sea level contribution differs significantly depending on these two factors. For the highest emission scenario RCP8.5, this leads to projected ice loss ranging from 1.4 to 4.0 cm of sea level equivalent in the ISMIP6 simulations where the sub-shelf melt sensitivity is comparably low, opposed to a likely range of 9.2 to 35.9 cm using the exact same initial setup, but emulated from the LARMIP-2 experiments with a higher melt sensitivity based on oceanographic studies. Furthermore, using two initial states, one with and one without a previous historic simulation from 1850 to 2014, we show that while differences between the ice sheet configurations in 2015 are marginal, the historic simulation increases the susceptibility of the ice sheet to ocean warming, thereby increasing mass loss from 2015 to 2100 by about 50 %. Our results emphasize that the uncertainty that arises from the forcing is of the same order of magnitude as the ice dynamic response for future sea level projections. Large zip files contain data, small zip file python notebooks for data analysis and PISM code. Please contact ronja.reese@pik-potsdam.de if you have any further questions.
DOI: 10.5281/zenodo.3951926
title: Irregular waves propagating across upward sloping ramps: surface elevation and depth-averaged velocity simulated by SWASH model

description: This datasets contain the topography (.txt) and input files (.sws) and raw outputs (.mat) of SWASH model (version 4.01A) for the simulation of irregular waves propagating across upward sloping ramps. Two bottom slopes (1/40 and 1/80) and two spectral width incident waves (γ=20 and 3.3) are considered, yielding four runs of test. For each run of test, times series of water surface elevation and depth-averaged velocity are sampled at a spatial and temporal resolution of 0.5 m and 0.1 s, respectively. Total simulation time was 1 h 5 min, while the first 5 min was for warming-up and the data was not sampled. Note: The source code of SWASH model was compiled using gfortran. Using different compilers, e.g. ifort, could generate different surface elevation signals. The primary harmonics of the signals are statistically identical , but the second-order subharmonics could be evidently different.
DOI: 10.13016/zs1g-knnj
title: Data set for "Isotopic evidence for multiple recycled sulfur reservoirs in the Mangaia mantle plume"

description: Data table of Sulfur isotope compositions and sulfur concentrations of mineral separates from Mangaia
description: In compliance with AGU's journal, "Geochemistry, Geophysics, Geosystems" we have uploaded the data collected for our manuscript titled "Isotopic evidence for multiple recycled sulfur reservoirs in the Mangaia mantle plume".
DOI: 10.18112/openneuro.ds001796.v1.3.1
title: Bilingualism and the brain
DOI: 10.5281/zenodo.3950527
title: Encuesta Nacional sobre los Efectos del COVID-19 en el Bienestar de los Hogares Mexicanos (ENCOVID-19-ABRIL)

description: Amid the COVID-19 outbreak, the ENCOVID-19 provides information on the well-being of Mexican households in four main domains: labor, income, mental health, and food insecurity. It offers timely information to understand the social consequences of the pandemic and the lockdown measures. It is a project consisting of a series of cross-sectional telephone surveys collected once a month for one year. In addition to the four main domains and a set of COVID19-related questions, the survey includes new key indicators every month to capture the impact of the pandemic on issues like education, social programs, and crime. This is the first dataset of the project, corresponding to April 2020, collected one month after the lockdown began in Mexico.
description: Funded by Universidad Iberoamericana, Mexico City
DOI: 10.15468/dl.84wuhg
title: Occurrence Download

description: A dataset containing 366 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Coleophora frischella (Linnaeus, 1758)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 366 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083744-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26826250
title: Mixed-Code Lexicons for Malaysian COVID-19

description: This file contains a list of positive and negative sentiment lexicons. This sentiment lexicon was built to analyze the sentiment of Malaysians during COVID-19. It contains lexicons in both Malay and English language.
DOI: 10.15468/dl.dcfhur
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Coleophora prunifoliae Doets, 1944",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 51 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083747-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5fceej
title: Occurrence Download

description: A dataset containing 29824 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083745-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qhzj86
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Vatica guangxiensis S.L.Mo"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083748-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.srsddg
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Coleophora currucipennella Zeller, 1839",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 189 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083749-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26335652.v1
title: The effect of intravitreal anti-VEGF injections on choroidal vascular index in patients with diabetic macular edema

description: This study aims to examine and compare the effects of intravitreal bevacizumab injection (IVB) at subfoveal 1500 micron (μm) and submacular 6000 μm in patients with diabetic macular edema (DME). Fifty eyes of 45 patients with DME who completed six doses of IVB were included in the study group, and 50 eyes of 42 patients who had diabetic retinopathy (DR) but did not receive any treatment were included in the control group. Central macular thickness (CMT), central choroidal thickness (CCT), subfoveal and total choroidal area (TCA), and choroidal vascular index (CVI) were calculated and their changes at zero, three and six months were evaluated. At baseline, CVI was significantly lower in both the subfoveal and total macular areas in the study group (<i>p</i> = 0.004, <i>p</i> = 0.003). In the study group, a significant decrease was observed in CVI between zero and six months in the subfoveal area (<i>p</i> = 0.001). In the submacular area, the decrease in CVI in the study group was significant between zero to three months and zero to six months. There was moderate correlation between measurements of CVI in the subfoveal and total macular areas (<i>r</i> = 0.66, <i>p</i> &lt; 0.001). These findings indicate that intravitreal bevacizumab injection reduces the CVI and the effects of intravitreal anti-VEGF on CVI emerge earlier and more prominently in the submacular 6000 µm area.
DOI: 10.6084/m9.figshare.26335652
title: The effect of intravitreal anti-VEGF injections on choroidal vascular index in patients with diabetic macular edema

description: This study aims to examine and compare the effects of intravitreal bevacizumab injection (IVB) at subfoveal 1500 micron (μm) and submacular 6000 μm in patients with diabetic macular edema (DME). Fifty eyes of 45 patients with DME who completed six doses of IVB were included in the study group, and 50 eyes of 42 patients who had diabetic retinopathy (DR) but did not receive any treatment were included in the control group. Central macular thickness (CMT), central choroidal thickness (CCT), subfoveal and total choroidal area (TCA), and choroidal vascular index (CVI) were calculated and their changes at zero, three and six months were evaluated. At baseline, CVI was significantly lower in both the subfoveal and total macular areas in the study group (<i>p</i> = 0.004, <i>p</i> = 0.003). In the study group, a significant decrease was observed in CVI between zero and six months in the subfoveal area (<i>p</i> = 0.001). In the submacular area, the decrease in CVI in the study group was significant between zero to three months and zero to six months. There was moderate correlation between measurements of CVI in the subfoveal and total macular areas (<i>r</i> = 0.66, <i>p</i> &lt; 0.001). These findings indicate that intravitreal bevacizumab injection reduces the CVI and the effects of intravitreal anti-VEGF on CVI emerge earlier and more prominently in the submacular 6000 µm area.
DOI: 10.14469/hpc/14527
title: Bergmann cyclisation, IRC reverse

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14530
title: Bergmann cyclisation, (CH2)5 IRC reverse

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14531
title: Bergmann cyclisation, (CH2)3 G = -347.474026

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14535
title: Dihydrobenzene, G = -233.330991

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14540
title: Bergmann cyclisation, (CH2)4 reactant G = -386.811904

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14532
title: Bergmann cyclisation, (CH2)5 IRC forward

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14536
title: Bergmann cyclisation, (CH2)3 IRC forward

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14537
title: Bergmann cyclisation, (CH2)3 IRC reverse

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14548
title: Bergmann, (CH2)4, initial abstraction of H from dihydrobenzene. G = -620.068740 DG = 46.5 (reactant -620.142895) IRC forward

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14549
title: Bergmann, (CH2)4, initial abstraction of H from dihydrobenzene. G = -620.068740 DG = 46.5 (reactant -620.142895) IRC reverse

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14550
title: Bergmann cyclisation, (CH2)4 reactant ==&gt; + H atom ==&gt; TS cyclisation G = -387.373938 (-620.088955) +0.84 higher than first TS IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14533
title: Bergmann cyclisation, (CH2)3 TS1, G = -347.475450

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14534
title: Cyclohexadienyl radical C2v G = -232.715017

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14544
title: Bergmann cyclisation, (CH2)3 =&gt; + H atom = Int1, G = -348.082812 (-580.797829) + 5.4 higher than TS

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14555
title: Bergmann cyclisation, (Et)2, TS G -387.947913 IRC reverse

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14556
title: Bergmann cyclisation, (Et)2, TS G -387.947913 IRC forward

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14557
title: Bergmann, (CH2)3, initial abstraction of H from dihydrobenzene. TS2, G = -580.771042 (-580.806441 for TS1) DG 22.1

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14529
title: Bergmann cyclisation, (CH2)4 TS1, G = -386.759307

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14538
title: Bergmann cyclisation, (CH2)5 TS1 G = -426.039644, DG = 39.8

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14539
title: Bergmann cyclisation, (CH2)4 reactant ==&gt; + H atom Int1, G = -387.379222 (-620.094239, DG = -2.47)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14541
title: Bergmann cyclisation, (CH2)5 reactant G = -426.103074 (-659.434065)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14543
title: Bergmann cyclisation, (CH2)4 reactant ==&gt; + H atom ==&gt; TS3 cyclisation G = -387.373938 (-620.088955) +0.84 higher than first TS

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14528
title: Bergmann cyclisation (CH2)4, IRC Forward

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14545
title: Bermann, (CH2)5 ==&gt; + H atom Int1, G = -426.669452 (-659.384469) -8.68 more stable than TS1,

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14547
title: Bergmann, (CH2)4, initial abstraction of H from dihydrobenzene, TS2, G = -620.068740 DG = 46.5 (reactant -620.142895)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14551
title: Bergmann cyclisation, (CH2)3 reactant ==&gt; + H atom ==&gt; TS2 cyclisation G = -348.080858 (-580.795875)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14552
title: Bergmann cyclisation, (CH2)5 reactant ==&gt; + H atom ==&gt; TS cyclisation G = -426.660194 (-659.375211)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14558
title: Bergmann cyclisation, (CH2)3 product, G = -347.507533 (-580.838524)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14542
title: Bergmann cyclisation, (CH2)3 reactant, G = -347.512977 (-580.843968)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14553
title: Bergmann cyclisation, (Et)2, TS1 G -387.947913 (-621.278904) DG = 44.0

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14554
title: Bergmann cyclisation, (Et)2, reactant C2, G =-388.018001 (-621.348992)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14559
title: Bergmann cyclisation (CH2)4 product, G = -386.800740 (-620.131731)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14560
title: Bergmann cyclisation, (CH2)5 product G = -426.082978 (-659.413969)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14561
title: Bergmann cyclisation, (Et)2, product G = -387.988530 (-621.319521)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14562
title: Bergmann, (CH2)5, initial abstraction of H from dihydrobenzene. TS2, G = -659.356146 (-659.356146

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14563
title: Bergmann cyclisation, (Et)2 ==&gt; TS3 cyclisation, G = -388.565590 (-621.280607)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14564
title: Bergmann cyclisation, (Et)2 reactant ==&gt; + H atom G = -388.577087 (-621.292104)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14565
title: Dihydrobenzene, G B3LYP+GD3+BJ, Def2-TZVPP, G = -233.437923

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14566
title: Bergmann cyclisation, (CH2)4 , uB3LYP+GD3+BJ, TS1 G = -386.946955 DG = 29.3

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14567
title: Cyclohexadienyl radical C2v G b3lyp+GD3+BJ, G = -232.824877

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14568
title: Bergmann cyclisation, (CH2)4 , uB3LYP+GD3+BJ, Reactant, G = -386.994343

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14569
title: Bergmann, (Et)2, initial abstraction of H from dihydrobenzene., TS2, G = -621.265041

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14570
title: Bergmann cyclisation, (Et)2 ==&gt; TS3 cyclisation, G = -388.565590 (-621.280607) IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14571
title: Bergmann, (Et)2, initial abstraction of H from dihydrobenzene., TS2, G = -621.265041 IRC forward

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14572
title: Bergmann, (Et)2, initial abstraction of H from dihydrobenzene., TS2, G = -621.265041 IRC reverse

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14573
title: Bergmann, (CH2)5, initial abstraction of H from dihydrobenzene. TS2, G = -659.356146 (-659.356146) IRC forward

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14574
title: Bergmann cyclisation, (CH2)4 reactant ==&gt; + H atom Int1, B3LYP+GD3+BJ G = -387.561720 (-620.386597)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14575
title: Bergmann cyclisation, (CH2)5 reactant ==&gt; + H atom ==&gt; TS3 cyclisation G = -426.660194 (-659.375211) IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14576
title: Bergmann, (CH2)5, initial abstraction of H from dihydrobenzene. TS2, G = -659.356146 (-659.356146) IRC reverse

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14577
title: Bergmann cyclisation, (CH2)5 reactant ==&gt; + H atom ==&gt; TS3 cyclisation G = -426.660194 (-659.375211) IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14578
title: Bergmann cyclisation (CH2)4 product, + 2H =&gt; Benzene, G = -232.172910

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14579
title: Bergmann cyclisation (CH2)4 product, + 2H G = -388.154958 (-620.327868)

description: Gaussian 16 (C01) calculation