cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14272/fgqygnnvzdlejn-uhfffaoysa-n.1
title: 6,7-dimethyl-3-phenylquinoxalin-2-amine
title: InChI=1S/C16H15N3/c1-10-8-13-14(9-11(10)2)19-16(17)15(18-13)12-6-4-3-5-7-12/h3-9H,1-2H3,(H2,17,19)

description: This dataset contains experimental data from a sample (6,7-dimethyl-3-phenylquinoxalin-2-amine, InChI=1S/C16H15N3/c1-10-8-13-14(9-11(10)2)19-16(17)15(18-13)12-6-4-3-5-7-12/h3-9H,1-2H3,(H2,17,19)). 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/fgqygnnvzdlejn-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) (6,7-dimethyl-3-phenylquinoxalin-2-amine)
title: InChI=1S/C16H15N3/c1-10-8-13-14(9-11(10)2)19-16(17)15(18-13)12-6-4-3-5-7-12/h3-9H,1-2H3,(H2,17,19)

description: dataset for mass spectrometry (MS) EI (m/z, 70 eV, 70 °C): 250 (17) [M+H]+, 249 (100) [M]+, 248 (98), 214 (15), 200 (16), 199 (19), 186 (30), 181 (14), 170 (10), 166 (12), 160 (18), 159 (10), 145 (25), 141 (11), 131 (15), 125 (15), 124 (15), 122 (39), 121 (42), 112 (11), 111 (24), 105 (15), 103 (14), 98 (15), 97 (40), 96 (11), 85 (23), 84 (17), 83 (46), 82 (32), 81 (10), 77 (21), 73 (11), 71 (33), 70 (23), 69 (49), 67 (14), 60 (13), 58 (32), 57 (47), 56 (29), 55 (38).HRMS (C16H15N3): calcd 249.1266, found 249.1265.
DOI: 10.14272/fgqygnnvzdlejn-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (6,7-dimethyl-3-phenylquinoxalin-2-amine)
title: InChI=1S/C16H15N3/c1-10-8-13-14(9-11(10)2)19-16(17)15(18-13)12-6-4-3-5-7-12/h3-9H,1-2H3,(H2,17,19)

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, CDCl3, ppm) δ = 2.42 (d, J = 10.6 Hz, 6H), 5.01 (s, 2H), 7.58–7.40 (m, 4H), 7.71 (s, 1H), 7.80–7.74 (m, 2H).
DOI: 10.14272/fgqygnnvzdlejn-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (6,7-dimethyl-3-phenylquinoxalin-2-amine)
title: InChI=1S/C16H15N3/c1-10-8-13-14(9-11(10)2)19-16(17)15(18-13)12-6-4-3-5-7-12/h3-9H,1-2H3,(H2,17,19)

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, CDCl3, ppm) δ = 20.0, 20.5, 125.3, 128.5, 128.5 (2C), 129.3 (2C), 129.6, 135.2, 137.2, 137.5, 139.9, 140.4, 144.8, 150.3.
DOI: 10.14272/fgqygnnvzdlejn-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) (6,7-dimethyl-3-phenylquinoxalin-2-amine)
title: InChI=1S/C16H15N3/c1-10-8-13-14(9-11(10)2)19-16(17)15(18-13)12-6-4-3-5-7-12/h3-9H,1-2H3,(H2,17,19)

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 387, 402, 443, 459, 483, 503, 524, 540, 579, 611, 620, 633, 656, 686, 713, 745, 798, 806, 837, 866, 881, 914, 960, 996, 1003, 1018, 1038, 1074, 1098, 1157, 1176, 1231, 1238, 1268, 1310, 1332, 1353, 1373, 1419, 1429, 1446, 1468, 1489, 1553, 1581, 1621, 1645, 2800, 2853, 2919, 2941, 2963, 3021, 3132, 3302, 3373 cm–1.
DOI: 10.5281/zenodo.3345895
title: Supplementary Data for "FreeHi-C: high fidelity Hi-C data simulation for benchmarking and data augmentation"

description: Simulated and processed data utilized in the paper "FreeHi-C: high fidelity Hi-C data simulation for benchmarking and data augmentation" for visualization and further analysis.
DOI: 10.5281/zenodo.3345896
title: Supplementary Data for "FreeHi-C: high fidelity Hi-C data simulation for benchmarking and data augmentation"

description: Simulated and processed data utilized in the paper "FreeHi-C: high fidelity Hi-C data simulation for benchmarking and data augmentation" for visualization and further analysis.
DOI: 10.17632/gnybw8p7zg.1
title: Data for: Management of powdery mildew and behaviour of late blight under different irrigation configurations in organic tomato

description: Microclimate data by irrigation treatment and cropping season (year), including maximum, minimum, and mean temperature and relative humidity, precipitation and leaf wetness in stalked tomato plots.
DOI: 10.17632/2t94y4kbvc.1
title: Data for: Significant nitrate attenuation in a mangrove-fringed estuary during a flood-chase experiment

description: Sampled surface water nutrients upstream and downstream of an estuary before, during and after a 62 mm rain event in Coffs Creek (Australia).
DOI: 10.25345/c53h2c
title: MassIVE MSV000084137 - Metaproteomics Analysis of Microbial Diversity of Human Saliva and Tongue Dorsum in Young Healthy Individuals
title: dataset for metaproteomics analysis to characterize of the composition of salivary and tongue microbial communities within healthy subjects in the range of age between 20-30 years
DOI: 10.6084/m9.figshare.9114485
title: Social class and interpersonal trust: Partner’s warmth, external threats and interpretations of trust betrayal

description: The present research investigated the effects of social class on interpersonal trust. In a series of experiments, we showed how the contextualist socio-cognitive tendencies of the lower class and the solipsistic tendencies of the upper class were reflected in their trusting attitudes and behaviors. In Study 1 (N = 491), upper class individuals expressed the same levels of trust towards all partners, while lower class individuals adjusted their trust choices to the affect-rich information about their interaction partner and trusted warm partners more than cold partners. The results of Study 2 (N = 210) showed that when threatened, lower class individuals had generally less trusting attitudes, while upper class members were equally trusting as in a neutral situation. Study 3 (N = 200) revealed that upper class individuals explained a betrayal of their trust with dispositional factors to a higher degree than lower class individuals. We discuss how these differences contribute to perpetuating the disadvantage of the lower class.
DOI: 10.17037/data.00001190
title: Clinical Code List - Zoster Vaccine - Read Codes

description: Read codes for zoster vaccine
DOI: 10.17037/data.00001195
title: Clinical Code List - PHN - Read Codes

description: Read codes for PHN
DOI: 10.17037/data.00001196
title: Clinical Code List - Hip Fracture - Read Codes

description: Read codes for hip fracture
DOI: 10.17037/data.00001197
title: Clinical Code List - Hip Fracture - ICD-10 Codes

description: ICD-10 codes for hip fracture
DOI: 10.25532/opara-34
title: Relevant data for manuscript "Quantitation of free glycation compounds in saliva" PLOS ONE
DOI: 10.17037/data.00001186
title: Clinical Code List - Varicella - ICD-10

description: ICD-10 codes for varicella
DOI: 10.17037/data.00001187
title: Clinical Code List - Zoster - Read Codes

description: Read codes for zoster
DOI: 10.17037/data.00001189
title: Therapy Code List - Zoster Vaccine - BNF Codes

description: BNF code list for zoster vaccine
DOI: 10.17037/data.00001191
title: Clinical Code List - Severe Immunesuppression CPRD - Read Codes

description: Read codes for severe immunesuppression CPRD
DOI: 10.17037/data.00001192
title: Clinical Code List - Severe Immunesuppression CPRD - ICD-10 Codes

description: ICD-10 codes for severe immunesuppression CPRD
DOI: 10.17037/data.00001193
title: Clinical Code List - Acute Gastroenteritis - Read Codes

description: Read codes for acute gastroenteritis
DOI: 10.17037/data.00001194
title: Clinical Code List - Acute Gastroenteritis - ICD-10 Codes

description: ICD-10 codes for acute gastroenteritis
DOI: 10.18739/a2bn9x32q
title: Surface precipitation and fog particle size distribution: FM (Fog Monitor) 02, Summit, Greenland, 2011-2014

description: The data set consists of measurements of precipitation and cloud particle size distributions made by Droplet Measurement Technologies (DMT) Fog Monitor 02s (FM100) acquired from June 2011 through June 2014 at Summit Station, Greenland (72 ºNorth, -38 ºWest, 3209 meters). The data was collected as part of the NSF (National Science Foundation) funded project “Closing the Isotope Hydrology at Summit: Measurements of Source Regions, Precipitation and Post-deposition Processes”. The purpose of the data set is to complement observations of isotopic composition of surface accumulation and vapor, ultrasonic wind measurements, meteorology and the properties of the snow surface.
DOI: 10.17037/data.00001185
title: Clinical Code List - Varicella - Read Codes

description: Read codes for varicella
DOI: 10.17037/data.00001188
title: Clinical Code List - Zoster - ICD-10 Codes

description: ICD-10 codes for zoster
DOI: 10.17632/g7s6xdv465.1
title: Data for: The Upper Bound of Thin-film Composite Polyamide Membranes for Desalination
DOI: 10.5287/bodleian:kzynk2vq2
title: Appendix 2. Supplementary material for Chapters 4 and 5
DOI: 10.6084/m9.figshare.9114599
title: Predictive factors for toxicity and survival of second-line sunitinib in advanced gastrointestinal stromal tumours (GIST)

description: <b>Introduction:</b> Sunitinib is a standard second-line treatment in advanced gastrointestinal stromal tumours (GIST). We aimed to search for predictive factors for grade 3 and 4 toxicity, progression-free survival (PFS) and overall survival (OS) in a GIST reference center patient population, outside clinical trials. <b>Methods:</b> A retrospective analysis was performed of patients treated in two European Comprehensive Cancer Centers between January 2005 and December 2015. Demographic and clinical features, tumour characteristics and biological parameters were investigated. Logistic regression models were used to find factors associated with grade 3 and 4 toxicity. To identify predictive factors for PFS and OS, variables that were statistically significant in univariate analysis were used in the multivariate Cox proportional hazards model. <b>Results:</b> Ninety-one patients were included in this analysis. Age &gt;60 years (HR 5.0, <i>p</i> = .006) and body weight ≤70 kg (HR 4.7, <i>p</i> = .009) were predictive factors for grade 3 and 4 toxicity. When divided into two categories, non-haematological grade 3 and 4 toxicity was predicted by age &gt;60 years (HR 3.8, <i>p</i> = .012) and body weight ≤70 kg (HR 3.3, <i>p</i> = .025) whereas haematological toxicity had no significantly associated predictive factors. The median PFS and OS with sunitinib were 8.8 months and 27.5 months, respectively. The use of imatinib less than six months compared to 6–12 months (HR 0.2, <i>p</i> = .013) and to &gt;12 months (HR 0.3, <i>p</i> = .016) and liver and/or peritoneal metastases (HR 0.1, <i>p</i> p = .003 and HR 0.2, <i>p</i> = .004) compared to locally advanced disease only were predictive for longer PFS. High neutrophil (HR 3.1, <i>p</i> = 0.04) and platelet count (HR 2.4, <i>p</i> = .046) predicted a shorter OS. Flexible sunitinib dosing was associated with superior OS (<i>p</i> = .021). <b>Conclusion:</b> In advanced GIST patients treated with sunitinib, older and low-weight patients are at risk for grade 3 and 4 toxicity. Clinical (prior imatinib use and metastases), biological (neutrophil and platelet count) and treatment characteristics independently predict PFS and OS.
DOI: 10.6084/m9.figshare.9114599.v1
title: Predictive factors for toxicity and survival of second-line sunitinib in advanced gastrointestinal stromal tumours (GIST)

description: <b>Introduction:</b> Sunitinib is a standard second-line treatment in advanced gastrointestinal stromal tumours (GIST). We aimed to search for predictive factors for grade 3 and 4 toxicity, progression-free survival (PFS) and overall survival (OS) in a GIST reference center patient population, outside clinical trials. <b>Methods:</b> A retrospective analysis was performed of patients treated in two European Comprehensive Cancer Centers between January 2005 and December 2015. Demographic and clinical features, tumour characteristics and biological parameters were investigated. Logistic regression models were used to find factors associated with grade 3 and 4 toxicity. To identify predictive factors for PFS and OS, variables that were statistically significant in univariate analysis were used in the multivariate Cox proportional hazards model. <b>Results:</b> Ninety-one patients were included in this analysis. Age &gt;60 years (HR 5.0, <i>p</i> = .006) and body weight ≤70 kg (HR 4.7, <i>p</i> = .009) were predictive factors for grade 3 and 4 toxicity. When divided into two categories, non-haematological grade 3 and 4 toxicity was predicted by age &gt;60 years (HR 3.8, <i>p</i> = .012) and body weight ≤70 kg (HR 3.3, <i>p</i> = .025) whereas haematological toxicity had no significantly associated predictive factors. The median PFS and OS with sunitinib were 8.8 months and 27.5 months, respectively. The use of imatinib less than six months compared to 6–12 months (HR 0.2, <i>p</i> = .013) and to &gt;12 months (HR 0.3, <i>p</i> = .016) and liver and/or peritoneal metastases (HR 0.1, <i>p</i> p = .003 and HR 0.2, <i>p</i> = .004) compared to locally advanced disease only were predictive for longer PFS. High neutrophil (HR 3.1, <i>p</i> = 0.04) and platelet count (HR 2.4, <i>p</i> = .046) predicted a shorter OS. Flexible sunitinib dosing was associated with superior OS (<i>p</i> = .021). <b>Conclusion:</b> In advanced GIST patients treated with sunitinib, older and low-weight patients are at risk for grade 3 and 4 toxicity. Clinical (prior imatinib use and metastases), biological (neutrophil and platelet count) and treatment characteristics independently predict PFS and OS.
DOI: 10.5281/zenodo.3349620
title: UKRR Project Data Master List

description: This is the main data output of the UKRR project. The data was extracted using the LARCH database on 29th March 2019. It includes everything submitted by all libraries during Phases 2 and 3, but only some data from Phase 1. Phase 1 did not use the LARCH system, and <em>some </em>of the Phase 1 submissions were retrospectively added, but others were not. As far as records show, of the Phase 1 contributors, this dataset includes: All the Phase 1 contributions from Liverpool, Newcastle and St Andrews. Some of the Phase 1 contributions from Birmingham and Southampton. None of the data from Cardiff, Exeter and Imperial. The dataset includes information on journal title changes and cataloguing inconsistencies (all of which are listed in column B), grouping them together and assigning a BL Overlap number (column A), and giving all relevant International Standard Serial Numbers (ISSNs) in Column C. Column D is the number of different titles under which a specific journal was offered. Column E shows the number of times material from that journal was offered. Column F shows the libraries that offered the material, as well as the number of times each library offered it. All UKRR participant libraries agreed to release the data without anonymisation in the interests of openness and to allow greater scope for future analysis.
DOI: 10.5281/zenodo.3349621
title: UKRR Project Data Master List

description: This is the main data output of the UKRR project. The data was extracted using the LARCH database on 29th March 2019. It includes everything submitted by all libraries during Phases 2 and 3, but only some data from Phase 1. Phase 1 did not use the LARCH system, and <em>some </em>of the Phase 1 submissions were retrospectively added, but others were not. As far as records show, of the Phase 1 contributors, this dataset includes: All the Phase 1 contributions from Liverpool, Newcastle and St Andrews. Some of the Phase 1 contributions from Birmingham and Southampton. None of the data from Cardiff, Exeter and Imperial. The dataset includes information on journal title changes and cataloguing inconsistencies (all of which are listed in column B), grouping them together and assigning a BL Overlap number (column A), and giving all relevant International Standard Serial Numbers (ISSNs) in Column C. Column D is the number of different titles under which a specific journal was offered. Column E shows the number of times material from that journal was offered. Column F was used internally when manually checking scarcity. Column G shows the libraries that offered the material, as well as the number of times each library offered it. All UKRR participant libraries agreed to release the data without anonymisation in the interests of openness and to allow greater scope for future analysis.
DOI: 10.5281/zenodo.3348383
title: Tidal responses to future sea level trends on the Yellow Sea shelf

description: Data used in Feng et al., 2019. "Tidal responses to future sea level trends on the Yellow Sea shelf.", manuscript submitted to JGR-OS. Data will be open accessed once the paper been accepted by the journal. People should not use it without agreement from the authors before the paper published on the journal.
DOI: 10.5281/zenodo.3348384
title: Tidal responses to future sea level trends on the Yellow Sea shelf

description: Data used in Feng et al., 2019. "Tidal responses to future sea level trends on the Yellow Sea shelf.", manuscript submitted to JGR-OS. Data will be open accessed once the paper been accepted by the journal. People should not use it without agreement from the authors before the paper published on the journal.
DOI: 10.5281/zenodo.3352018
title: 2019 Eurobarometer on Food Safety in the EU_Datasets

description: This Special Eurobarometer, commissioned by EFSA, provides insights in terms of: Europeans’ overall interest in food safety, including factors affecting food-related decisions, main information channels on food-related risks, changes in behaviour and views on complexity of communication about food-related risks. Awareness and risk perceptions when it comes to food safety topics, trust in different sources of information and understanding of the EU food safety system The survey was carried out by the Kantar network in the 28 EU Member States between the 9<sup>th</sup> and 26<sup>th</sup> of April 2019. Some 27,655 respondents from different social and demographic groups were interviewed face-to-face at home in their mother tongue. The methodology used is that of the Standard Eurobarometer surveys carried out by the Directorate-General for Communication. It is the same for all countries and territories covered in the survey. The datasets published are distributed as follows: Volume A: Countries Volume AA: Groups of countries Volume B: EU/socio-demographics Volume C: Country/socio-demographics Microdata <em>Disclaimer &gt; In accordance with Regulation (EU) 2018/1725 on the protection of natural persons with regard to the processing of personal data applicable to EFSA, some data elements were excluded from the eb_91.3_EFSA_Microdata file published hereby, in order to prevent that individual respondents may be identifiable. The excluded data elements include occupation and the region of respondent’s residence within the country. </em>
description: EU; XLS; socialscience@efsa.europa.eu
DOI: 10.5258/soton/d1027
title: Dataset for "An Unsuitable Li-O2 Battery Electrolyte Made Suitable with the Use of Redox Mediators"

description: Dataset supports the article published in the Journal of Physical Chemistry C (2019): J. P. Vivek, T. Homewood, N. Garcia-Araez, "An Unsuitable Li-O2 Battery Electrolyte Made Suitable with the Use of Redox Mediators", DOI:10.1021/acs.jpcc.9b03403.
DOI: 10.5281/zenodo.3332251
title: LIBER 2019 Workshop. Open Access books in academic libraries – how can we adapt workflows and cost management to an open scholarly communications landscape?

description: This dataset includes all the results from a workshop held at the LIBER Annual Conference 2019 on June 26, 2019, in Dublin, Ireland. The workshop aimed at collecting and discussing current library practices related to open access books. The dataset includes information from a survey made in preparation for the conference, where 67 European libraries responded to a questionnaire based on activities or workflows in libraries related to open access books. Both the survey questionnaire and the results from the survey are uploaded as separate files. The dataset also includes the presentation made by keynote speaker Eelco Ferwerda from the OAPEN Foundation. He presented results based on the 2017 landscape study report on open access monographs with some new results from more recent studies by Springer Nature and a follow-up report by Knowledge Exchange. Olaf Siegert from ZBW - Leibniz Information Centre for Economics presented a brief overview of what libraries can do to promote OA books in terms of collection management, publication services and development of staff and organisation. The conclusion is that it is not necessarily big changes that are needed. Sofie Wennström presented results from a survey aimed at European research libraries on behalf of the LIBER Open Access Working Group. The survey reveals that many libraries are already working with processes to promote OA books. This is done by libraries organising publishing services or inhouse publishing, by including OA books in discovery services and repositories and by supporting authors to learn more about open access and open licensing. Finally, the LIBER Open Access Working Group shares a report from the workshop providing some quick takeaways and some good examples brought up during the breakout session with the workshop participants.
description: {"references": ["https://libereurope.eu/blog/2019/07/26/open-access-books-in-academic-libraries-how-can-we-adapt-workflows-cost-management-to-an-open-scholarly-communications-landscape/", "https://libereurope.eu/blog/2019/07/26/oa-monographs-in-europes-research-libraries-best-practices-opportunities-challenges/", "https://libereurope.eu/strategy/innovative-scholarly-communication/openaccess/"]}
DOI: 10.5281/zenodo.3332252
title: LIBER 2019 Workshop. Open Access books in academic libraries – how can we adapt workflows and cost management to an open scholarly communications landscape?

description: This dataset includes all the results from a workshop held at the LIBER Annual Conference 2019 on June 26, 2019, in Dublin, Ireland. The workshop aimed at collecting and discussing current library practices related to open access books. The dataset includes information from a survey made in preparation for the conference, where 67 European libraries responded to a questionnaire based on activities or workflows in libraries related to open access books. Both the survey questionnaire and the results from the survey are uploaded as separate files. The dataset also includes the presentation made by keynote speaker Eelco Ferwerda from the OAPEN Foundation. He presented results based on the 2017 landscape study report on open access monographs with some new results from more recent studies by Springer Nature and a follow-up report by Knowledge Exchange. Olaf Siegert from ZBW - Leibniz Information Centre for Economics presented a brief overview of what libraries can do to promote OA books in terms of collection management, publication services and development of staff and organisation. The conclusion is that it is not necessarily big changes that are needed. Sofie Wennström presented results from a survey aimed at European research libraries on behalf of the LIBER Open Access Working Group. The survey reveals that many libraries are already working with processes to promote OA books. This is done by libraries organising publishing services or inhouse publishing, by including OA books in discovery services and repositories and by supporting authors to learn more about open access and open licensing. Finally, the LIBER Open Access Working Group shares a report from the workshop providing some quick takeaways and some good examples brought up during the breakout session with the workshop participants.
description: {"references": ["https://libereurope.eu/blog/2019/07/26/open-access-books-in-academic-libraries-how-can-we-adapt-workflows-cost-management-to-an-open-scholarly-communications-landscape/", "https://libereurope.eu/blog/2019/07/26/oa-monographs-in-europes-research-libraries-best-practices-opportunities-challenges/", "https://libereurope.eu/strategy/innovative-scholarly-communication/openaccess/"]}