cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22085060.v4
title: Population and GDP/GNI/CO2 emissions

description: Original dataset The original year-2019 dataset was downloaded from the World Bank Databank by the following approach on July 23, 2022. <br> https://databank.worldbank.org/reports.aspx?source=2&series=NY.GNP.ATLS.CD&country=# <br> <strong>Database:</strong> "World Development Indicators" <strong>Country:</strong> 266 (all available) <strong>Series:</strong> "CO2 emissions (kt)", "GDP (current US$)", "GNI, Atlas method (current US$)", and "Population, total" <strong>Time:</strong> 1960, 1970, 1980, 1990, 2000, 2010, 2017, 2018, 2019, 2020, 2021 <strong>Layout:</strong> Custom -&gt; Time: Column, Country: Row, Series: Column <strong>Download options:</strong> Excel Preprocessing <br> With libreoffice, remove non-country entries (lines after Zimbabwe), shorten column names for easy processing: Country Name -&gt; Country, Country Code -&gt; Code, "XXXX ... GNI ..." -&gt; GNI_1990, etc (notice '_', not '-', for R), remove unnesssary rows after line Zimbabwe, finally save it to a TSV with tab as the separator and no " for text for possible handling by awk (some countries have a comma in name).
DOI: 10.15129/108e9fa9-34bf-4a6b-bcfe-53e8d3ffd970
title: Data for: "Exploring the thermal behaviour of the solvated structures of Nifedipine"

description: Dataset associated with the solvate study of Nifedipine. "Pure_upload" contains the data related to the submitted article “Exploring the thermal behaviour of the solvated structures of Nifedipine”. Each folder contains an excel spreadsheet explaining the contents of each file. Data were saved in a text format and can be read using Notepad or similar text reading software. The XRD Data folder contains single-crystal X-ray diffraction data (.sfrm) that can be read using Bruker APEX3 software. XRPD Raw files can be read using Bruker crystallographic software TOPAS or CSD software DASH.
DOI: 10.5281/zenodo.6570856
title: PoliTweets

description: A data set of German tweets with annotations of political views.
DOI: 10.5281/zenodo.7064876
title: PoliTweets

description: A data set of German tweets with annotations of political views. The human annotators were trained by scientists at the Manifesto Project, the coding instructions can be found here. The current version contains 7807 annotated tweets with the following label counts: manifestolabel_human undefined 1554 freedom/human rights + 711 social justice + 482 welfare + 481 environmentalism + 475 democracy + 458 political authority + 385 national way of life + 310 national way of life - 204 free enterprise + 186 law and order + 178 labour + 178 infrastructure + 160 gov-admin efficiency + 149 social harmony + 142 education + 134 anti-growth economy + 113 multiculturalism - 106 europe + 98 military - 96 political corruption - 90 market regulation + 80 europe - 76 productivity + 74 constitution + 61 internationalism + 59 military + 56 multiculturalism + 55 traditional morality + 54 traditional morality - 53 economic goals 48 economic orthodoxy + 42 foreign special + 38 marxist analysis + 34 agriculture + 34 non economic groups + 34 welfare - 32 culture + 32 anti-imperialism + 32 protectionism + 29 incentives + 28 internationalism - 22 peace + 19 controlled economy + 15 protectionism - 15 decentralism + 15 nationalization + 15 keynesian demand + 14 centralism + 11 foreign special - 10 labour - 6 minority groups + 6 middle class + 6 education - 3 economic planning + 2 constitution - 2 corporatism + 1
DOI: 10.5281/zenodo.7635612
title: PoliTweets

description: A data set of German tweets with annotations of political views. When using this data set, please cite the following publication: Felix Biessmann, "Changes in Policy Preferences in German Tweets During the COVID Pandemic" Social Informatics Conference, 2022. (Version 01 of this data set was used in this publication). The human annotators were trained by scientists at the Manifesto Project, the coding instructions can be found here. The current version contains 10561 annotated tweets with the following label counts: manifestolabel_human undefined 1981 freedom/human rights + 1032 welfare + 804 social justice + 637 environmentalism + 557 democracy + 555 political authority + 465 national way of life + 397 free enterprise + 305 labour + 275 law and order + 243 national way of life - 218 military - 192 infrastructure + 184 anti-growth economy + 167 social harmony + 164 gov-admin efficiency + 162 education + 155 productivity + 144 political corruption - 123 europe + 116 market regulation + 114 multiculturalism - 114 europe - 96 anti-imperialism + 91 constitution + 89 traditional morality - 88 military + 83 traditional morality + 83 economic goals 80 internationalism + 74 incentives + 70 multiculturalism + 62 economic orthodoxy + 52 non economic groups + 49 welfare - 46 marxist analysis + 46 agriculture + 45 foreign special + 44 protectionism + 42 internationalism - 42 culture + 37 decentralism + 36 peace + 27 centralism + 25 nationalization + 22 protectionism - 21 keynesian demand + 20 controlled economy + 19 foreign special - 17 minority groups + 10 labour - 10 corporatism + 9 constitution - 8 middle class + 7 education - 4 economic planning + 3
DOI: 10.5281/zenodo.6570855
title: PoliTweets

description: A data set of German tweets with annotations of political views. When using this data set, please cite the following publication: Felix Biessmann, "Changes in Policy Preferences in German Tweets During the COVID Pandemic" Social Informatics Conference, 2022. (Version 01 of this data set was used in this publication). The human annotators were trained by scientists at the Manifesto Project, the coding instructions can be found here. The current version contains 10561 annotated tweets with the following label counts: manifestolabel_human undefined 1981 freedom/human rights + 1032 welfare + 804 social justice + 637 environmentalism + 557 democracy + 555 political authority + 465 national way of life + 397 free enterprise + 305 labour + 275 law and order + 243 national way of life - 218 military - 192 infrastructure + 184 anti-growth economy + 167 social harmony + 164 gov-admin efficiency + 162 education + 155 productivity + 144 political corruption - 123 europe + 116 market regulation + 114 multiculturalism - 114 europe - 96 anti-imperialism + 91 constitution + 89 traditional morality - 88 military + 83 traditional morality + 83 economic goals 80 internationalism + 74 incentives + 70 multiculturalism + 62 economic orthodoxy + 52 non economic groups + 49 welfare - 46 marxist analysis + 46 agriculture + 45 foreign special + 44 protectionism + 42 internationalism - 42 culture + 37 decentralism + 36 peace + 27 centralism + 25 nationalization + 22 protectionism - 21 keynesian demand + 20 controlled economy + 19 foreign special - 17 minority groups + 10 labour - 10 corporatism + 9 constitution - 8 middle class + 7 education - 4 economic planning + 3
DOI: 10.5281/zenodo.7635529
title: A evolução do vírus SARS-COV-2 no Nordeste brasileiro.

description: Os dados estão distribuídos da seguinte forma: <em><strong>Região</strong></em> – Nome da região, no caso Nordeste; <em><strong>Estado</strong></em> – Nome da UF; <em><strong>Município</strong></em> – Nome do município; <em><strong>Coduf</strong></em> – Código da UF; <em><strong>Codmun</strong></em> – Código do município; <em><strong>CodRegiaoSaude</strong></em> - Código da Região de Saúde; <em><strong>NomeRegiaoSaude</strong></em> – Nome da Respectiva região de saúde; <em><strong>Data</strong></em> – Data da coleta dos dados; <em><strong>SemanaEpi</strong></em> – Número de semanas epidemológica; <em><strong>PopulacaoTCU2019</strong></em> – População do Município; <em><strong>CasosAcumulado</strong></em> – Casos acumulados no Município; <em><strong>CasosNovos</strong></em> – Novos casos no Município; <em><strong>ÓbitosAcumulado</strong></em> – Total de óbitos acumulados no município; <em><strong>ÓbitosNovos</strong></em> - Total de novos óbitos no município;
description: Os dados coletados, são relativos à evolução do vírus SARS-COV-2, que provoca a Covid-19, no Nordeste do Brasil. As informações contidas, são referentes ao período de 1 de janeiro de 2022 até 27 de junho do mesmo ano. Os dados foram coletados via arquivo CSV e apresentados, posteriormente após terem sido tratados, no Data Studio, atual Looker Studio. Os mesmos foram baixados no site: https://covid.saude.gov.br/
DOI: 10.5281/zenodo.7635528
title: A evolução do vírus SARS-COV-2 no Nordeste brasileiro.

description: Os dados estão distribuídos da seguinte forma: <em><strong>Região</strong></em> – Nome da região, no caso Nordeste; <em><strong>Estado</strong></em> – Nome da UF; <em><strong>Município</strong></em> – Nome do município; <em><strong>Coduf</strong></em> – Código da UF; <em><strong>Codmun</strong></em> – Código do município; <em><strong>CodRegiaoSaude</strong></em> - Código da Região de Saúde; <em><strong>NomeRegiaoSaude</strong></em> – Nome da Respectiva região de saúde; <em><strong>Data</strong></em> – Data da coleta dos dados; <em><strong>SemanaEpi</strong></em> – Número de semanas epidemológica; <em><strong>PopulacaoTCU2019</strong></em> – População do Município; <em><strong>CasosAcumulado</strong></em> – Casos acumulados no Município; <em><strong>CasosNovos</strong></em> – Novos casos no Município; <em><strong>ÓbitosAcumulado</strong></em> – Total de óbitos acumulados no município; <em><strong>ÓbitosNovos</strong></em> - Total de novos óbitos no município;
description: Os dados coletados, são relativos à evolução do vírus SARS-COV-2, que provoca a Covid-19, no Nordeste do Brasil. As informações contidas, são referentes ao período de 1 de janeiro de 2022 até 27 de junho do mesmo ano. Os dados foram coletados via arquivo CSV e apresentados, posteriormente após terem sido tratados, no Data Studio, atual Looker Studio. Os mesmos foram baixados no site: https://covid.saude.gov.br/
DOI: 10.5281/zenodo.7635600
title: Non-allergic eye rubbing is a major behavioral risk factor for keratoconus

description: This is the Minimal Data Set for the manuscript 'Non-allergic eye rubbing is a major behavioral risk factor for keratoconus' by Jaskiewicz et al. in PLOS ONE. Supplementary Table 1. Study results. Clinical, behavioral, environmental, and socioeconomic data of the examined patients with KTCN and control individuals.<br> Supplementary Table 2. Study results. The selected environmental, behavioral, and transcriptomic data (in TPM, transcript per million) of the cone (central) region of the corneal epithelium (CE) of 23 KTCN patients and five control individuals.
DOI: 10.5281/zenodo.7635599
title: Non-allergic eye rubbing is a major behavioral risk factor for keratoconus

description: This is the Minimal Data Set for the manuscript 'Non-allergic eye rubbing is a major behavioral risk factor for keratoconus' by Jaskiewicz et al. in PLOS ONE. Supplementary Table 1. Study results. Clinical, behavioral, environmental, and socioeconomic data of the examined patients with KTCN and control individuals.<br> Supplementary Table 2. Study results. The selected environmental, behavioral, and transcriptomic data (in TPM, transcript per million) of the cone (central) region of the corneal epithelium (CE) of 23 KTCN patients and five control individuals.
DOI: 10.34740/kaggle/dsv/4991461
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.6084/m9.figshare.22086329
title: Spss data

description: Raw data from a study on the regulation of milk fat synthesis by sodium acetate via activation of the GPR41/GPR43 signaling pathway
DOI: 10.6084/m9.figshare.22086092
title: Antenna array

description: First 22 samples for no fault condition, next 22 smaples are element 1 in fault, next element 2 in fault and so on till element 16 in fault. Afterword next group of 22 samples are all possible two elements in fault case. Hence, first 374 samples include no fault and single fault samples, and afterword 375-3014 represents 120 possible fault cases.
DOI: 10.6084/m9.figshare.22086092.v1
title: Antenna array

description: First 22 samples for no fault condition, next 22 smaples are element 1 in fault, next element 2 in fault and so on till element 16 in fault. Afterword next group of 22 samples are all possible two elements in fault case. Hence, first 374 samples include no fault and single fault samples, and afterword 375-3014 represents 120 possible fault cases.
DOI: 10.5281/zenodo.7635718
title: PROTEIN User Questionnaire

description: This is the user survey (questionnaire) which was used in PROTEIN and the results. The users were asked to evaluate the PROTEIN platform which was made available to them through a mobile app.
DOI: 10.5281/zenodo.7635717
title: PROTEIN User Questionnaire

description: This is the user survey (questionnaire) which was used in PROTEIN and the results. The users were asked to evaluate the PROTEIN platform which was made available to them through a mobile app.
DOI: 10.5281/zenodo.7635702
title: India's Aggregate Export Volume Dataset

description: Data set with Indian aggregate export volume, and various other macroeconomic variables from 2000Q1 - 2019Q4
DOI: 10.5281/zenodo.7635701
title: India's Aggregate Export Volume Dataset

description: Data set with Indian aggregate export volume, and various other macroeconomic variables from 2000Q1 - 2019Q4
DOI: 10.6084/m9.figshare.22086356
title: data.zip

description: Brain activation and functional connectivity of schizophrenia during ToM processing.
DOI: 10.6084/m9.figshare.22086356.v1
title: data.zip

description: Brain activation and functional connectivity of schizophrenia during ToM processing.
DOI: 10.34740/kaggle/dsv/4991554
title: 2021 World Population (updated daily)
DOI: 10.17638/datacat.liverpool.ac.uk/2145
title: Single Molecular Junction Formation in Deep Eutectic Solvents

description: The dataset for the two-terminal junctions measured in DES and EC-STM results for VDP
DOI: 10.6069/s9b3-zz35
title: Differential isotope labelling by amino acids (DILAC) reveals metabolic cross-feeding and phenotypic heterogeneity in a clonal cell population

description: Genetically identical cells are known to differ in many physiological parameters such as growth rate and drug tolerance, but the source of such heterogeneity is often insufficiently understood. Exchange interactions between metabolite producing and consuming cells are believed to be one possible cause, but detecting metabolically divergent subpopulations remains technically challenging. We developed a proteomics-based technology, termed differential isotope labelling by amino acids (DILAC), which monitors amino acid incorporation into peptides with multiple occurrences of the same amino acid. DILAC is used to differentiate producer and consumer cells of a particular amino acid within an isogenic cell population. We applied DILAC to young, morphologically undifferentiated yeast colonies and reveal that they contain sub-populations of lysine producers and consumers which emerge due to nutrient gradients. DILAC can deconvolute the proteome of subpopulations from bulk measurements which indicated an in situ cross feeding situation where fast growing cells ferment and provide the slower growing, respiring cells with ethanol as substrate. Finally, by combining DILAC with FACS, we show that the metabolic states that differ between isogenic cells, confer resistance to the antifungal drug amphotericin B. Overall, this novel and broadly applicable methodological approach captures previously unnoticed metabolic heterogeneity, providing experimental evidence for the role of metabolic specialisation and cross-feeding interactions as a source of phenotypic heterogeneity in isogenic cell populations.
DOI: 10.7479/2j13-v254
title: Duets of Chubbs' cisticola (<i>Cisticola chubbi</i>)

description: Examples of duets of Chubb's cisticola. Recordings used in: Budka M. et al. (2023): Frequent duets, rare choruses, and extremely rare solos – year-round singing behavior in Chubb’s cisticola. Journal of Ornithology
DOI: 10.14272/kyqzoadbksjhal-fmqucbeesa-n/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C14H17F3N4/c1-9(2)21(10(3)4)20-19-13-11(8-18)6-5-7-12(13)14(15,16)17/h5-7,9-10H,1-4H3/b20-19+

description: dataset for mass spectrometry (MS) EI (m/z, 70 eV, 30 °C): 298 (44) [M]+, 198 (40), 170 (100), 100 (20), 58 (23).HRMS (C14H17N4F3): Calcd 298.1400, Found 298.1401.
DOI: 10.14272/kyqzoadbksjhal-fmqucbeesa-n.1
title: (E)-2-(3,3-diisopropyltriaz-1-en-1-yl)-3-(trifluoromethyl)benzonitrile
title: InChI=1S/C14H17F3N4/c1-9(2)21(10(3)4)20-19-13-11(8-18)6-5-7-12(13)14(15,16)17/h5-7,9-10H,1-4H3/b20-19+

description: This dataset contains experimental data from a sample (InChI=1S/C14H17F3N4/c1-9(2)21(10(3)4)20-19-13-11(8-18)6-5-7-12(13)14(15,16)17/h5-7,9-10H,1-4H3/b20-19+). The datasets from the following experiments are available: mass spectrometry (MS) infrared absorption spectroscopy (IR) 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) process
DOI: 10.14272/kyqzoadbksjhal-fmqucbeesa-n/bfo0000015
title: process ()
title: InChI=1S/C14H17F3N4/c1-9(2)21(10(3)4)20-19-13-11(8-18)6-5-7-12(13)14(15,16)17/h5-7,9-10H,1-4H3/b20-19+

description: dataset for process 19F NMR (376 MHz, CDCl3, ppm) δ = -60.58.
DOI: 10.14272/kyqzoadbksjhal-fmqucbeesa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C14H17F3N4/c1-9(2)21(10(3)4)20-19-13-11(8-18)6-5-7-12(13)14(15,16)17/h5-7,9-10H,1-4H3/b20-19+

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, Chloroform-d [7.27 ppm], ppm) δ = 7.81 (d, J = 7.8 Hz, 1H), 7.76 (d, J = 7.8 Hz, 1H), 7.19 (t, J = 7.7 Hz, 1H), 5.17 (sept, J = 6.8 Hz, 1H), 4.13 (sept, J = 6.6 Hz, 1H), 1.48 (d, J = 6.6 Hz, 6H), 1.33 (d, J = 6.8 Hz, 6H).
DOI: 10.14272/kyqzoadbksjhal-fmqucbeesa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C14H17F3N4/c1-9(2)21(10(3)4)20-19-13-11(8-18)6-5-7-12(13)14(15,16)17/h5-7,9-10H,1-4H3/b20-19+

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, Chloroform-d [77.0 ppm], ppm) δ = 152.6, 138.2, 130.6 (q, J = 5.6 Hz), 124.9 (q, J = 30.5 Hz), 123.6 (q, J = 273.6 Hz), 123.4, 119.0, 103.3, 51.5, 48.6, 23.3 (2C), 19.0 (2C).
DOI: 10.14272/kyqzoadbksjhal-fmqucbeesa-n/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C14H17F3N4/c1-9(2)21(10(3)4)20-19-13-11(8-18)6-5-7-12(13)14(15,16)17/h5-7,9-10H,1-4H3/b20-19+

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 2976 (w), 2935 (w), 2876 (vw), 2222 (vw), 1592 (w), 1582 (w), 1467 (w), 1444 (w), 1398 (vs), 1382 (s), 1362 (vs), 1315 (vs), 1289 (s), 1229 (vs), 1197 (m), 1134 (vs), 1117 (vs), 1099 (vs), 1078 (s), 1031 (s), 976 (w), 922 (w), 892 (w), 869 (w), 840 (w), 804 (m), 772 (w), 748 (m), 722 (m), 666 (w), 629 (w), 576 (w), 545 (w), 517 (w), 449 (vw), 406 (vw) cm–1.
DOI: 10.5281/zenodo.7600123
title: Source data file for "Vibrational signature of hydrated protons confined in MXene interlayers"

description: Source data file for the manuscript entitled: "Vibrational signature of hydrated protons confined in MXene interlayers"
DOI: 10.5281/zenodo.7600122
title: Source data file for "Vibrational signature of hydrated protons confined in MXene interlayers"

description: Source data file for the manuscript entitled: "Vibrational signature of hydrated protons confined in MXene interlayers"
DOI: 10.14272/wsugzwjximlxnz-wukndpdisa-n/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C13H21FN4/c1-9(2)18(10(3)4)17-16-13-7-5-6-12(14)11(13)8-15/h5-7,9-10H,8,15H2,1-4H3/b17-16+

description: dataset for mass spectrometry (MS) EI (m/z, 70 eV, 20 °C): 252 (12) [M]+, 139 (55), 124 (100), 115 (15), 73 (10).HRMS (C13H21N4F): Calcd 252.1745, Found 252.1743.
DOI: 10.14272/wsugzwjximlxnz-wukndpdisa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C13H21FN4/c1-9(2)18(10(3)4)17-16-13-7-5-6-12(14)11(13)8-15/h5-7,9-10H,8,15H2,1-4H3/b17-16+

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, Chloroform-d [77.0 ppm], ppm) δ = 161.0 (d, J = 242.8 Hz), 150.8 (d, J = 6.2 Hz), 127.9 (d, J = 9.2 Hz), 123.5 (d, J = 16.2 Hz), 112.0 (d, J = 2.3 Hz), 111.1 (d, J = 23.1 Hz), 49.4, 46.7, 35.3 (d, J = 5.4 Hz), 23.8 (2C), 19.2 (2C). Impurities: spectrum contains methanol at 50.4 ppm.
DOI: 10.14272/wsugzwjximlxnz-wukndpdisa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C13H21FN4/c1-9(2)18(10(3)4)17-16-13-7-5-6-12(14)11(13)8-15/h5-7,9-10H,8,15H2,1-4H3/b17-16+

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, Chloroform-d [7.27 ppm], ppm) δ =7.25 (d, J = 8.1 Hz, 1H), 7.14 (td, J = 6.1 Hz, J = 8.1 Hz, 1H), 6.82–6.77 (m, 1H), 5.19 (br.s, 1H), 4.07 (d, J = 1.5 Hz, 3H), 2.46 (s, 2H), 1.34 (d, J = 46.2 Hz, 12H). Impurities: spectrum contains methylene chloride at 5.30 ppm and methanol at 3.49 ppm.
DOI: 10.14272/wsugzwjximlxnz-wukndpdisa-n.1
title: (E)-(2-(3,3-diisopropyltriaz-1-en-1-yl)-6-fluorophenyl)methanamine
title: InChI=1S/C13H21FN4/c1-9(2)18(10(3)4)17-16-13-7-5-6-12(14)11(13)8-15/h5-7,9-10H,8,15H2,1-4H3/b17-16+

description: This dataset contains experimental data from a sample (InChI=1S/C13H21FN4/c1-9(2)18(10(3)4)17-16-13-7-5-6-12(14)11(13)8-15/h5-7,9-10H,8,15H2,1-4H3/b17-16+). The datasets from the following experiments are available: infrared absorption spectroscopy (IR) 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) 19F nuclear magnetic resonance spectroscopy (19F NMR) mass spectrometry (MS)
DOI: 10.14272/wsugzwjximlxnz-wukndpdisa-n/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C13H21FN4/c1-9(2)18(10(3)4)17-16-13-7-5-6-12(14)11(13)8-15/h5-7,9-10H,8,15H2,1-4H3/b17-16+

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 2972 (m), 2931 (w), 2870 (w), 1606 (w), 1576 (m), 1460 (m), 1406 (vs), 1381 (s), 1362 (vs), 1267 (m), 1245 (vs), 1208 (s), 1154 (vs), 1127 (s), 1097 (s), 1065 (w), 1039 (w), 1005 (w), 981 (s), 946 (w), 903 (m), 878 (m), 816 (m), 784 (s), 733 (m), 700 (w), 623 (w), 585 (w), 555 (w), 541 (w), 525 (w), 483 (w), 436 (vw) cm–1.
DOI: 10.14272/wsugzwjximlxnz-wukndpdisa-n/chmo0000597
title: 19F nuclear magnetic resonance spectroscopy (19F NMR) ()
title: InChI=1S/C13H21FN4/c1-9(2)18(10(3)4)17-16-13-7-5-6-12(14)11(13)8-15/h5-7,9-10H,8,15H2,1-4H3/b17-16+

description: dataset for 19F nuclear magnetic resonance spectroscopy (19F NMR) 19F NMR (376 MHz, CDCl3, ppm) δ = –120.52.
DOI: 10.6084/m9.figshare.22086398.v1
title: Increased functional connectivity involving the parahippocampal gyrus in patients with schizophrenia during a Theory of Mind task

description: A total of 36 patients with schizophrenia and 33 healthy controls were recruited to complete a ToM task from the Human Connectome Project (HCP) during functional magnetic resonance imaging (fMRI) scanning. The psychophysiological interaction (PPI) was applied to explore group differences in task-related functional connectivity.
DOI: 10.6084/m9.figshare.22086398
title: Increased functional connectivity involving the parahippocampal gyrus in patients with schizophrenia during a Theory of Mind task

description: A total of 36 patients with schizophrenia and 33 healthy controls were recruited to complete a ToM task from the Human Connectome Project (HCP) during functional magnetic resonance imaging (fMRI) scanning. The psychophysiological interaction (PPI) was applied to explore group differences in task-related functional connectivity.