cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/43c8dzpn3k.2
title: Identification and functional confirmation of TwPDR1

description: The dataset contains all the final data for the identificaiton and functional enhancement of TwPDR1 and presented as a opj. file for sorftware Origin and an Excel file as well.
DOI: 10.17632/2k96hrcgnm.1
title: Raster-scanning optoacoustic mesoscopy (RSOM) imaging as an objective disease severity tool in atopic dermatitis patients: Supplementary File

description: Supplementary File
DOI: 10.17632/yk7gcvkjdk.1
title: Amber mining and amber processing: data on worldwide distribution of amber deposits and patents

description: Data provides information on the geographical distribution of amber deposits worldwide against knowledge hubs engaged in patenting amber-based products and developments. Patenting data is acquired from the Dimensions database (Digital Science).
DOI: 10.17632/pp6xt6pnsm.3
title: Controlled Catheter Movement Affects Dye Dispersal Volume in Agarose Gel Brain Phantoms

description: In this study, we examine the effects of controlled catheter movement on dye dispersal volume in agarose gel brain tissue phantoms. Four different catheter movement control protocols: stationary, continuous retraction, continuous insertion, and intermittent insertion were applied for a single-port stepped catheter capable of intrainfusion movement. Infusions of indigo carmine dye into agarose gel brain tissue phantoms were conducted during the controlled catheter movement. The dispersal volume (Vd), forward dispersal volume (Vdf), infusion radius, backflow distance, and forward flow distance were quantified for each catheter movement protocol using optical images recorded throughout the experiment. Attached data include raw images from each experiment ran, quantified data obtained from image analysis, and an infusion movie showing infusions for each of the 4 experimental groups.
DOI: 10.17632/2f5jdppr26.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D018)
DOI: 10.17632/b592wsvxw4.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D019 section 1-1)
DOI: 10.17632/v885w2mtzy.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D019 section 1-2)
DOI: 10.17632/c39t6v39rv.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D020)
DOI: 10.17632/h96xrx9vx2.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D025 section 1-2)
DOI: 10.17632/jx734rx8pv.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D025 section 1-2)
DOI: 10.17632/nwpjxnczjs.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample DB237T)
DOI: 10.17632/hv5z5xvnj7.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample FB238AT)
DOI: 10.17632/5r2x6yyc5k.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample FB120AT)
DOI: 10.17632/yrmwzntz8h.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample FB94T section 1-1)
DOI: 10.17632/tfkvh8xkr3.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample FB238T)
DOI: 10.17632/327mwms9n2.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample FB94T section 1-2)
DOI: 10.17632/brnkfg229k.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample GB195T)
DOI: 10.17632/kbhyndxvnc.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB033T)
DOI: 10.17632/fjg5cbzffh.2
title: Noisy COVID-19 X-ray Dataset

description: This dataset includes X-ray images which are affected by noise and burning. The noise includes AWGN and S & P noise. In addition, a denoised dataset is included.
DOI: 10.17632/2z6z94p8xb.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB207AT)
DOI: 10.17632/yrg9jpz3p7.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB305AT)
DOI: 10.17632/xs2sphbtz6.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB46T)
DOI: 10.17632/yp63pdb54j.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB526T)
DOI: 10.17632/bm6xv2c3sk.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample IB134T)
DOI: 10.17632/p4vgc8jp4k.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample IB298T)
DOI: 10.17632/28sc4297tk.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample KB170AT section 1-1)
DOI: 10.17632/8k5yvvb8yb.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample KB170AT section 1-2)
DOI: 10.17632/wwy7g5mftp.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR018AT)
DOI: 10.17632/37gt2vbw5h.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample LNcap)
DOI: 10.17632/szh7gbjhjr.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR018T)
DOI: 10.17632/ws8ggnn54h.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR236T section 1 & 2-1)
DOI: 10.17632/7s3vrx6xjz.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR236T section 2-2)
DOI: 10.17632/2pypxmsc2y.1
title: Public debt and economic growth in Mozambique

description: Public debt and economic growth in Mozambique 1997 to 2018
DOI: 10.17632/pstmtr8gzr.2
title: Ranichauri Data

description: DMPS aerosol size distribution and BC archived data.
DOI: 10.17632/78jsjhcwxy.2
title: Racism in U.S. social studies education: Invisible while on full display

description: This study's use of decolonized critique of Western history helps identify the invisible white Euro-American culture embedded in the National Curriculum Standards for Social Studies, the Texas Social Studies Essential Knowledge and Skills Standards, and the New Mexico Social Studies Content Standards. The matrix developed for this study identifies intersectionality between the five tenets of Critical Race Theory and Bonilla-Silva's (2018) Four Frames of Colorblindness as a way to expose colorblind language in state-approved social studies content standards. Data was collected from the content standards for the 5th grade and 8th grade from both states and analyzed. The number of NM benchmarks within a strand varies, as does the list of content standards within each benchmark. There are 176 social studies standards for grades 5 through 8. Texas 5th grade standards have 106 content standards, while 8th grade has 125 standards. The author compared articles continuously by using MaxQDA, a qualitative data analysis software, and a computer-assisted coding system using categories created from the theoretical framework. Two of the three phases recommended by Corbin & Strauss (2015) were employed. First, selective coding was employed to capture data within content standards that related to any of the decolonizing CRT matrix variables or contained the variables for capitalism, individualism, or race literacy. Then axial coding was employed to determine connections or relationships between the variables. Using Lincoln and Guba's (1983) stringent criteria, the author determined whether a unit of information revealed information relevant to the study, and if the information is interpretable in the absence of supporting evidence. In addition to the decolonized variables in the CRT matrix, the other code words used for this study include race literate content standards, capitalism/free market, colonization references, economics, religion, and individualism. Ultimately, the 231 Texas social studies standards received 422 codes, while the 113 New Mexico standards received 264. The general picture emerging from the analysis is that nonracial language is detectable as racist language. As in previous studies, the results of this analysis confirm that subtle forms of racism are detectable through the application of Critical Race Theory and the four frames of colorblind racism using decolonizing methods. The findings provide strong evidence of race-proof narratives in both Texas and New Mexico content standards. Additional evidence of nonracial racism is detectable in the higher usage of certain words over others. The higher usage of words like 'religion,' 'individuals,' and 'Capitalism' over words like 'slavery,' 'indigenous' and 'African American' indicate the interest of specific topics over others. Finally, the Texas content standards provide convincing evidence of a link between examples of interest convergence and topics on capitalism.
DOI: 10.17632/zcrw3mb77b.1
title: Gladkop Suite: Isotope and Geochemical Composition Data

description: These data have been used to better understand the Gladkop Suite rocks located in the Bushmanland Subprovince, particularly with regard to how it relates to the Palaeoproterozoic evolution of this part of the Namaqua Sector and its relationship with the Mesoproterozoic-dominated BSP. For more details and interpretation of the data, please refer to A.Y. Nke, R. Bailie, P.H. Macey, R.J. Thomas, D. Frei, P. Le Roux, C.J. Spencer, The 1.8 Ga Gladkop Suite: the youngest Palaeoproterozoic arc in the Namaqua-Natal Metamorphic Province, South Africa, Precambr. Res. In Press.
DOI: 10.17632/fjg5cbzffh.1
title: Noisy COVID-19 X-ray Dataset

description: This dataset includes X-ray images which are affected by noise and burning. The noise includes AWGN and S & P noise. In addition, a denoised dataset is included.
DOI: 10.17632/pstmtr8gzr.1
title: Ranichauri Data

description: DMPS aerosol size distribution and BC archived data.
DOI: 10.17632/2ccckzsk26.1
title: Tuning Transcription Factor Availability through Acetylation-Mediated Genomic Redistribution

description: https://doi.org/10.1016/j.molcel.2020.05.025
DOI: 10.17632/fvk7h5dg2p.2
title: Chest X-ray images with three classes: COVID-19, Normal, and Pneumonia

description: Dataset name Normal COVID-19 Pneumonia Total MOMA- Dataset 234 221 148 603 MOMA Dataset are collected from three resources
DOI: 10.17632/wr447vnw8x.1
title: Support data for the "A Statistical Point of View on the ISO 10360 Standard for Coordinate Measuring Systems Verification" Article

description: This dataset includes 100 runs of the single stylus probing error test described in the ISO 10360-5:2020 standard and 12 runs of the length measurement error test described in the ISO 10360-2:2009.
DOI: 10.17632/fvk7h5dg2p.3
title: Chest X-ray images with three classes: COVID-19, Normal, and Pneumonia

description: Dataset name Normal COVID-19 Pneumonia Total MOMA- Dataset 234 221 148 603 MOMA Dataset are collected from three resources
DOI: 10.17632/2d7mn8ctfg.1
title: Prevalence and Correlation Of Active TrPs In Suboccipital And Upper Trapezius Muscles In Females Coiffure High Ponytail: A Cross-Sectional Study

description: Methods and Materials: 100 females doing high ponytail were engaged for the study. From all the participated females informed consent was taken. Algometer was used to measure the pain pressure threshold of trigger point and for scoring pain NPRS was taken. TrPs were examined on the basis of criteria given by Simmons and travel. Data Analysis: The Analysis of the collected data was done by using the Statistical Package for Social Sciences (SPSS, Version 20.0). Kolmogorov- Smirnov Test was applied to analyse the normality of data. Data was not normally distributed so non parametric test was applied. Spearman Rho correlation coefficient was used to correlate the variables. Result: Active TrPs were most prevalent in the left upper trapezius muscle (32%) and least in the left suboccipital muscle (20%) whereas in the other muscle values percent are 26% in right upper trapezius and 22% in right suboccipital. The TrPs in muscles shows negatively co-relation with NPRS.
DOI: 10.5519/qd.92mybxj5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (0 records)
DOI: 10.17632/tg765zz76x.1
title: Data: The Contributions of Childhood Vaccination Misconceptions to the Evaluation and Sharing of Information from Multiple Internet Texts

description: The current work was conducted to better understand the influences of source presence and individual differences on evaluating and sharing information from multiple conflicting Internet texts about childhood vaccinations. The results indicate that college student readers appeared to be insensitive to a source availability manipulation. However, their preexisting beliefs, specifically in terms of their misconceptions regarding childhood vaccinations, appeared to be detrimental to their online information sharing proclivities. In particular, readers with misconceptions about childhood vaccinations were more likely to include inaccurate concepts when writing an essay to share information with a friend. Additionally, readers with misconceptions were less able to distinguish more from less credible information, as evidenced by their inability to appropriately rank-order the Internet in terms of reliability. The patterns suggest that readers with misconception-based beliefs may be at risk for misinforming others after reading multiple conflicting texts on the Internet. Limitations and future directions of the current work are discussed.
DOI: 10.21227/wb51-b187
title: Wearable Ambulatory Electrocardiogram (ECG) and EEG dataset

description: This dataset provides the ECG signals recorded in ambulatory (moving) conditions of subjects. The ambulatory ECG (A-ECG) data acquired with two different recorders viz. Biopac MP36 Acquisition system and a self-developed wearable ECG recorder are made available. Total 10 subjects' (with avg. age of 27 years, 1 female and 9 males) ECG signals with four body movements- Left amp; Right arm up/down, Sitting down amp; standing up and Waist twist are uploaded.An EEG signals dataset is also provided here.
DOI: 10.17632/wyn7959sxf.4
title: Data for: Experimental study on the performance of heat pump water heating system coupled with air type PV/T collector

description: Natural weather datas, thermal and electrical performance of the air type PV/T solar collector, heat pump performance combined with PV/T solar collector
DOI: 10.18742/pszz-m429
title: People of Medieval Scotland project 1093 - 1371

description: People of Medieval Scotland (PoMS) project is a database of all known people of Scotland between 1093 and 1314 mentioned in over 8600 contemporary legal documents. It has also recently been extended to 1371 to include all those lands, peoples and relationships mentioned in royal charters between 1314 and 1371. The People of Medieval Scotland website is an outcome of three projects: The Paradox of Medieval Scotland (2007-2010); The Breaking of Britain (2010-2013); and The Community of the Realm in Scotland (2017-2020), all funded by the Arts and Humanities Research Council (AHRC), and the Transformation of Gaelic Scotland in the Twelfth and Thirteenth Centuries (2013-2016), funded by the Leverhulme Trust.
DOI: 10.7910/dvn/5onaa3/jbbxdp
title: Research and Science Today No 1--2020.pdf

description: RESEARCH AND SCIENCE TODAY is a biannual science journal established in 2011. The journal is an informational platform that publishes assessment articles and the results of various scientific research carried out by academics. We provide the authors with the opportunity to create and/or perfect their science writing skills. Thus, each issue of the journal (two per year and at least two supplements) will contain professional articles from any academic field, authored by domestic and international academics. The goal of this journal is to pass on relevant information to undergraduate, graduate, and post-graduate students as well as to fellow academics and researchers; the topics covered are unlimited, considering its multi-disciplinary profile. Regarding the national and international visibility of Research and Science Today, it is indexed in over 30 international databases (IDB) and is present in over 200 online libraries and catalogues; therefore, anybody can easily consult the articles featured in each issue by accessing the databases or simply the website.
DOI: 10.26182/5ee33f847f85d
title: Amborella pangenome and supplementary tables
DOI: 10.14272/qvaadpplqswgqe-xzoqpegzsa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C27H36N4O4/c1-2-15-29-18-24(32)28-22(17-20-10-5-3-6-11-20)26(34)31(21-12-7-4-8-13-21)19-25(33)30-16-9-14-23(30)27(29)35/h2-3,5-6,10-11,21-23H,1,4,7-9,12-19H2,(H,28,32)/t22-,23+/m0/s1

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (125 MHz, acetonitrile, ppm) δ = 173.1 (Cq, CON), 171.2 (Cq, CON), 170.2 (Cq, CON), 166.6 (Cq, CON), 139.7 (Cq, phe-Car), 133.4 (+, N1al-CH), 130.8 (+, 2 × phe-CH), 128.8 (+, 2 × phe-CH), 127.0 (+, phe-CH), 118.3 (–, N1al-C3H2), 64.6 (+, pro-CαH), 55.7 (+, Nch-CH), 53.0 (+, phe-CαH), 52.6 (–, N1al-C1H2), 50.9 (–, COCH2N), 46.4 (–, pro-CδH2), 45.8 (–, COCH2N), 38.6 (–, phe-CβH2), 31.2 (–, Nch-CH2CH), 30.5 (–, Nch-CH2CH), 27.8 (–, pro-CβH2), 26.7 (–, Nch-CH2), 26.6 (–, Nch-CH2), 26.4 (–, Nch-CH2), 26.0 (–, pro-CγH2).
DOI: 10.14272/qvaadpplqswgqe-xzoqpegzsa-n/chmo0001150
title: 1H--1H correlation spectroscopy (1H-1H COSY) ()
title: InChI=1S/C27H36N4O4/c1-2-15-29-18-24(32)28-22(17-20-10-5-3-6-11-20)26(34)31(21-12-7-4-8-13-21)19-25(33)30-16-9-14-23(30)27(29)35/h2-3,5-6,10-11,21-23H,1,4,7-9,12-19H2,(H,28,32)/t22-,23+/m0/s1

description: dataset for 1H--1H correlation spectroscopy (1H-1H COSY)
DOI: 10.14272/qvaadpplqswgqe-xzoqpegzsa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C27H36N4O4/c1-2-15-29-18-24(32)28-22(17-20-10-5-3-6-11-20)26(34)31(21-12-7-4-8-13-21)19-25(33)30-16-9-14-23(30)27(29)35/h2-3,5-6,10-11,21-23H,1,4,7-9,12-19H2,(H,28,32)/t22-,23+/m0/s1

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (500 MHz, acetonitrile-d3, ppm) δ = 7.30–7.07 (m, 5H, 5 × phe-CarH), 6.67 (d, J = 10.3 Hz, 1H, phe-NαH), 5.77–5.60 (m, 1H, N1al-CH), 5.15 (d, J = 10.3 Hz, 1H, N1al-C3HH), 5.07 (d, J = 17.2 Hz, 1H, N1al-C3HH), 5.02–4.92 (m, 1H, phe-CαH), 4.47 (d, J = 15.3 Hz, 1H, N1al-C1HH), 4.42–4.36 (m, 1H, pro-CαH), 4.34–4.25 (m, 1H, Nch-CH), 3.83 (d, J = 18.3 Hz, 1H, COCHHN), 3.74–3.61 (m, 2H, COCHHN, COCHHN), 3.52–3.44 (m, 1H, pro-CδHH), 3.30–3.09 (m, 4H, phe-CβHH, pro-CδHH, COCHHN, N1al-C1HH), 2.85–2.80 (m, 1H, phe-CβHH), 2.32–2.23 (m, 1H, pro-CβHH), 2.09–2.02 (m, 1H, pro-CγHH), 1.91–1.79 (m, 3H, pro-CβHH, pro-CγHH, Nch-CHHCH), 1.79–1.71 (m, 2H, 2 × Nch-CHH), 1.65–1.53 (m, 2H, Nch-CHH, Nch-CHHCH), 1.36–1.26 (m, 3H, 2 × Nch-CHH, Nch-CHHCH), 1.25–1.17 (m, 1H, Nch-CHHCH), 1.12–1.01 (m, 1H, Nch-CHH).
DOI: 10.14272/qvaadpplqswgqe-xzoqpegzsa-n/chmo0001009
title: high-performance liquid chromatography (HPLC) ()
title: InChI=1S/C27H36N4O4/c1-2-15-29-18-24(32)28-22(17-20-10-5-3-6-11-20)26(34)31(21-12-7-4-8-13-21)19-25(33)30-16-9-14-23(30)27(29)35/h2-3,5-6,10-11,21-23H,1,4,7-9,12-19H2,(H,28,32)/t22-,23+/m0/s1

description: dataset for high-performance liquid chromatography (HPLC) Analytical HPLC (5–95% acetonitrile + 0.1% TFA in 30 min, detection at 218 nm): tRet = 13.1 min (98%).
DOI: 10.14272/qvaadpplqswgqe-xzoqpegzsa-n/chmo0001146
title: 1H--13C heteronuclear single quantum coherence (1H-13C HSQC) ()
title: InChI=1S/C27H36N4O4/c1-2-15-29-18-24(32)28-22(17-20-10-5-3-6-11-20)26(34)31(21-12-7-4-8-13-21)19-25(33)30-16-9-14-23(30)27(29)35/h2-3,5-6,10-11,21-23H,1,4,7-9,12-19H2,(H,28,32)/t22-,23+/m0/s1

description: dataset for 1H--13C heteronuclear single quantum coherence (1H-13C HSQC)
DOI: 10.14272/qvaadpplqswgqe-xzoqpegzsa-n.1
title: cyclo-(N-cyclohexylglycyl-D-prolyl-N-allylglycyl-L-phenylalanine)
title: InChI=1S/C27H36N4O4/c1-2-15-29-18-24(32)28-22(17-20-10-5-3-6-11-20)26(34)31(21-12-7-4-8-13-21)19-25(33)30-16-9-14-23(30)27(29)35/h2-3,5-6,10-11,21-23H,1,4,7-9,12-19H2,(H,28,32)/t22-,23+/m0/s1

description: This dataset contains experimental data from a sample (InChI=1S/C27H36N4O4/c1-2-15-29-18-24(32)28-22(17-20-10-5-3-6-11-20)26(34)31(21-12-7-4-8-13-21)19-25(33)30-16-9-14-23(30)27(29)35/h2-3,5-6,10-11,21-23H,1,4,7-9,12-19H2,(H,28,32)/t22-,23+/m0/s1). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) high-performance liquid chromatography (HPLC) mass spectrometry (MS) 1H--1H correlation spectroscopy (1H-1H COSY) 1H--13C heteronuclear single quantum coherence (1H-13C HSQC)
DOI: 10.14272/qvaadpplqswgqe-xzoqpegzsa-n/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C27H36N4O4/c1-2-15-29-18-24(32)28-22(17-20-10-5-3-6-11-20)26(34)31(21-12-7-4-8-13-21)19-25(33)30-16-9-14-23(30)27(29)35/h2-3,5-6,10-11,21-23H,1,4,7-9,12-19H2,(H,28,32)/t22-,23+/m0/s1

description: dataset for mass spectrometry (MS) MS (m/z, MALDI-TOF): 482 [M+H]+, 504 [M+Na]+, 520 [M+K]+.
DOI: 10.14272/xkoxvldnaloepv-opfzvleesa-n/chmo0001146
title: 1H--13C heteronuclear single quantum coherence (1H-13C HSQC) ()
title: InChI=1S/C25H34N4O7/c1-3-14(2)21-25(36)29-12-4-5-19(29)24(35)26-17(10-11-20(31)32)22(33)27-18(23(34)28-21)13-15-6-8-16(30)9-7-15/h6-9,14,17-19,21,30H,3-5,10-13H2,1-2H3,(H,26,35)(H,27,33)(H,28,34)(H,31,32)/t14?,17-,18-,19+,21-/m0/s1

description: dataset for 1H--13C heteronuclear single quantum coherence (1H-13C HSQC)
DOI: 10.14272/xkoxvldnaloepv-opfzvleesa-n.1
title: 3-((3S,6S,9S,14aR)-9-(sec-butyl)-6-(4-hydroxybenzyl)-1,4,7,10-tetraoxotetradecahydropyrrolo[1,2-a][1,4,7,10]tetraazacyclododecin-3-yl)propanoic acid
title: InChI=1S/C25H34N4O7/c1-3-14(2)21-25(36)29-12-4-5-19(29)24(35)26-17(10-11-20(31)32)22(33)27-18(23(34)28-21)13-15-6-8-16(30)9-7-15/h6-9,14,17-19,21,30H,3-5,10-13H2,1-2H3,(H,26,35)(H,27,33)(H,28,34)(H,31,32)/t14?,17-,18-,19+,21-/m0/s1

description: This dataset contains experimental data from a sample (InChI=1S/C25H34N4O7/c1-3-14(2)21-25(36)29-12-4-5-19(29)24(35)26-17(10-11-20(31)32)22(33)27-18(23(34)28-21)13-15-6-8-16(30)9-7-15/h6-9,14,17-19,21,30H,3-5,10-13H2,1-2H3,(H,26,35)(H,27,33)(H,28,34)(H,31,32)/t14?,17-,18-,19+,21-/m0/s1). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) high-performance liquid chromatography (HPLC) mass spectrometry (MS) 1H--1H correlation spectroscopy (1H-1H COSY) 1H--13C heteronuclear single quantum coherence (1H-13C HSQC)
DOI: 10.14272/xkoxvldnaloepv-opfzvleesa-n/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C25H34N4O7/c1-3-14(2)21-25(36)29-12-4-5-19(29)24(35)26-17(10-11-20(31)32)22(33)27-18(23(34)28-21)13-15-6-8-16(30)9-7-15/h6-9,14,17-19,21,30H,3-5,10-13H2,1-2H3,(H,26,35)(H,27,33)(H,28,34)(H,31,32)/t14?,17-,18-,19+,21-/m0/s1

description: dataset for mass spectrometry (MS) MS (m/z, MALDI-TOF): 526 [M+H]+, 548 [M+Na]+, 564 [M+K]+.
DOI: 10.14272/xkoxvldnaloepv-opfzvleesa-n/chmo0001009
title: high-performance liquid chromatography (HPLC) ()
title: InChI=1S/C25H34N4O7/c1-3-14(2)21-25(36)29-12-4-5-19(29)24(35)26-17(10-11-20(31)32)22(33)27-18(23(34)28-21)13-15-6-8-16(30)9-7-15/h6-9,14,17-19,21,30H,3-5,10-13H2,1-2H3,(H,26,35)(H,27,33)(H,28,34)(H,31,32)/t14?,17-,18-,19+,21-/m0/s1

description: dataset for high-performance liquid chromatography (HPLC) Analytical HPLC (5–95% acetonitrile + 0.1% TFA in 30 min, detection at 218 nm): tRet = 10.3 min (&gt;99%).