cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14272/lwprqcgbqornhs-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C25H19BrF3NO4/c1-12-9-18-20(31)15-5-3-4-6-16(15)21(32)24(18,11-13(12)2)22(33)17-10-14(7-8-19(17)26)30-23(34)25(27,28)29/h3-8,10,18H,9,11H2,1-2H3,(H,30,34)

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (126 MHz, CDCl3, ppm) δ = 199.9 (Cq, 1 × C=O), 196.5 (Cq, 1 × C=O), 195.5 (Cq, 1 × C=O), 155.1 (q, 2J = 38.1 Hz, 1 × COCF3), 139.8 (Cq, 1 × CqAr), 135.4 (+, 1 × CHAr), 134.9 (+, 1 × CHAr), 134.5 (+, 1 × CHAr), 134.3 (Cq, 1 × CqAr), 134.0 (Cq, 1 × CqAr), 132.9 (Cq, 1 × CqAr), 127.7 (+, 1 × CHAr), 127.1 (+, 1 × CHAr), 125.1 (Cq, 1 × CqAr), 123.0 (+, 1 × CHAr), 122.5 (Cq, 1 × Cq), 119.4 (+, 1 × CHAr), 116.8 (Cq, 1 × Cq), 115.6 (q, 1J = 289.0 Hz, 1 × CF3), 68.2 (Cq, 1 × Cq), 49.8 (+, 1 × CH), 34.4 (–, 1 × CH2), 30.8 (–, 1 × CH2), 19.1 (+, 1 × CH3), 19.0 (+, 1 × CH3). Impurities: Spectrum contains ethyl acetate signals at 60, 21 and 14 ppm.
DOI: 10.14272/lwprqcgbqornhs-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C25H19BrF3NO4/c1-12-9-18-20(31)15-5-3-4-6-16(15)21(32)24(18,11-13(12)2)22(33)17-10-14(7-8-19(17)26)30-23(34)25(27,28)29/h3-8,10,18H,9,11H2,1-2H3,(H,30,34)

description: dataset for infrared absorption spectroscopy (IR) IR (ATR): ṽ = 3361 (vw), 2911 (vw), 1699 (w), 1673 (w), 1588 (w), 1543 (vw), 1466 (vw), 1402 (vw), 1282 (w), 1258 (w), 1239 (w), 1135 (w), 1057 (w), 875 (vw), 831 (w), 793 (vw), 757 (vw), 741 (w), 728 (vw), 671 (vw), 645 (vw), 597 (vw), 566 (vw), 477 (vw), 434 (vw), 402 (vw) cm–1.
DOI: 10.14272/ymlgbyytihvwrb-yadaresesa-n.1
title: C24H20BrNO4
title: InChI=1S/C24H20BrNO4/c1-13-9-10-24(23(30)18-12-15(26-14(2)27)7-8-20(18)25)19(11-13)21(28)16-5-3-4-6-17(16)22(24)29/h3-9,12,19H,10-11H2,1-2H3,(H,26,27)/t19-,24+/m0/s1

description: This dataset contains experimental data from a sample (InChI=1S/C24H20BrNO4/c1-13-9-10-24(23(30)18-12-15(26-14(2)27)7-8-20(18)25)19(11-13)21(28)16-5-3-4-6-17(16)22(24)29/h3-9,12,19H,10-11H2,1-2H3,(H,26,27)/t19-,24+/m0/s1). 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) fast-atom bombardment mass spectrometry (FABMS)
DOI: 10.14272/ymlgbyytihvwrb-yadaresesa-n/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C24H20BrNO4/c1-13-9-10-24(23(30)18-12-15(26-14(2)27)7-8-20(18)25)19(11-13)21(28)16-5-3-4-6-17(16)22(24)29/h3-9,12,19H,10-11H2,1-2H3,(H,26,27)/t19-,24+/m0/s1

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 3306 (w), 2912 (w), 1677 (vs), 1581 (vs), 1530 (vs), 1466 (vs), 1391 (vs), 1373 (s), 1252 (vs), 1187 (vs), 1047 (s), 1016 (vs), 936 (s), 909 (m), 802 (vs), 773 (s), 728 (vs), 688 (s), 647 (s), 591 (s), 561 (s), 484 (s), 418 (s) cm–1.
DOI: 10.17632/39v2mnc453.1
title: Play fair algorithm

description: Playfair cipher is an interesting data encryption technique with a medium level of complexity, and therefore, issuitable for security of wireless and mobile systems. Different sizes of the matrices used for key have been previously studied by researchers, but no study has been done so far that provides a comparative analysis of different matrix sizes of a key. This paper is motivated by this observation, and provides a comparison of three different matrix sizes used for the key. These matrices are 9 x9, 10 x 10, and 11 x 11.Different experiments were performed which indicate that for the data used herein, the size of the plain-text does not have a significant effect on the encryption of the output. However, the size of the key does have a notable effect and the encryption level increases with big keys of bigger sizes
DOI: 10.18112/openneuro.ds002788.v1.0.0
title: VaryingISI-TwoVisualPathways
DOI: 10.6073/pasta/d011b8b5ec0f0206a93d5541618d5e0e
title: Understory Vegetation in Hemlock Removal Experiment at Harvard Forest since 2003

description: Hemlock decline in New England is caused by direct and indirect effects of invasion of the hemlock woolly adelgid. Direct damage from the insect is causing gradual mortality of hemlock, and widespread harvesting of hemlock in advance of mortality, in contrast, causes immediate mortality and removal of biomass from the site. Although both processes affect thousands of acres of forest annually we have only a limited understanding of their effects on forest ecosystem function and productivity and the nature of the subsequent forest community. We anticipate that harvesting will yield different consequences than gradual mortality from the insect. Therefore we designed an experiment to simulate these contrasting impacts, by logging or girdling hemlock stands. Results from the experimental treatments are compared to the changes observed in forests that are being infested by the adelgid, and can also be included in integrated analyses of a suite of large experiments that form a core component of the Harvard Forest LTER program.
DOI: 10.1285/i20705948v13n1p47
title: Canonical Correlation Analysis of Principal Component Scores for Multiple-set Random Vectors

description: Canonical correlation analysis (CCA) is often used to analyze correlations between the variables of two random vectors. As an extension of CCA, multiple-set canonical correlation analysis (MCCA) was proposed to analyze correlations between multiple-set random vectors. However, sometimes interpreting MCCA results may not be as straightforward as interpreting CCA results. Principal CCA (PCCA), which uses CCA between two sets of principal component (PC) scores, was proposed to address these difficulties in CCA. We propose multiple-set PCCA (MPCCA) by applying the idea to multiple-set of PC scores. PCs are ranked in descending order according to the amount of information they contain. Therefore, it is enough to use only a few PC scores from the top instead of using all PC scores. Decreasing the number of PC makes it easy to interpret the result. We confirmed the effectiveness of MPCCA using simulation studies and a practical example.
DOI: 10.1285/i20705948v13n1p75
title: Modelling the Change of White Blood Cell on Colorectal Cancer Treatment Using Probit Regression

description: Colorectal cancer has become one of the cancer types with high incidence rate all over the world. Various eorts have been carried out to nd a way to decrease the risk of cancer. Chemotherapy using 5-Fluorouracil (5-FU) is one of the common cancer treatments that is expected to drive the white blood cell (WBC) level into the normal level. This research investigates the factors inuencing the change of WBC level in cancer patients treated with 5-FU combined with physical treatment in the form of footsteps. By focusing on the change of WBC level, i.e. decreasing or increasing the WBC level as the response, probit regression was applied to the data measured from 28 cancer patients who have undergone 14 days of treatment. The probit regression found that age of the patient, average number of daily footsteps and the dose of 5-FU signcantly inuence the change of WBC. The regression is able to classify the case with a satisfactory results, i.e. 85.71% classication accuracy. This nding can be a guideline to better treat the colorectal cancer patient to reach a normal WBC.
DOI: 10.14272/gygdjdfwrcpcej-setsbseesa-n.1
title: C30H35IO4Si
title: InChI=1S/C30H35IO4Si/c1-18(2)36(19(3)4,20(5)6)35-21-15-16-30(29(34)24-13-9-10-14-26(24)31)25(17-21)27(32)22-11-7-8-12-23(22)28(30)33/h7-15,18-20,25H,16-17H2,1-6H3/t25-,30+/m0/s1

description: This dataset contains experimental data from a sample (InChI=1S/C30H35IO4Si/c1-18(2)36(19(3)4,20(5)6)35-21-15-16-30(29(34)24-13-9-10-14-26(24)31)25(17-21)27(32)22-11-7-8-12-23(22)28(30)33/h7-15,18-20,25H,16-17H2,1-6H3/t25-,30+/m0/s1). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) infrared absorption spectroscopy (IR) fast-atom bombardment mass spectrometry (FABMS)
DOI: 10.14272/gygdjdfwrcpcej-setsbseesa-n/chmo0000563
title: fast-atom bombardment mass spectrometry (FABMS) ()
title: InChI=1S/C30H35IO4Si/c1-18(2)36(19(3)4,20(5)6)35-21-15-16-30(29(34)24-13-9-10-14-26(24)31)25(17-21)27(32)22-11-7-8-12-23(22)28(30)33/h7-15,18-20,25H,16-17H2,1-6H3/t25-,30+/m0/s1

description: dataset for fast-atom bombardment mass spectrometry (FABMS) MS (FAB, 3-NBA), m/z (%): 614 (10) [M]+, 615 (31) [M+H]+, 231 (100) [M-C23H31O3Si]+, 383 (99) [M-C7H4IO]+. HRMS (FAB, C30H36127IO4Si): calc. 615.1422; found 615.1424.
DOI: 10.14272/gygdjdfwrcpcej-setsbseesa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C30H35IO4Si/c1-18(2)36(19(3)4,20(5)6)35-21-15-16-30(29(34)24-13-9-10-14-26(24)31)25(17-21)27(32)22-11-7-8-12-23(22)28(30)33/h7-15,18-20,25H,16-17H2,1-6H3/t25-,30+/m0/s1

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, CDCl3, ppm) δ = 8.17 (dd, 3J = 7.5 Hz, 4J = 1.6 Hz, 1H, CHAr), 8.03 (dd, 3J = 7.5 Hz, 4J = 1.6 Hz, 1H, CHAr), 7.84 (dd, 3J = 7.9 Hz, 4J = 1.1 Hz, 1H, CHAr), 7.82–7.68 (m, 2H, CHAr), 7.33–7.26 (m, 1H, CHAr), 7.14 (dd, 3J = 7.8 Hz, 4J = 1.7 Hz, 1H, CHAr), 7.06 (td, 3J = 7.7 Hz, 4J = 1.7 Hz, 1H, CHAr), 4.83–4.71 (m, 1H, C=CH), 3.80 (dd, 3J = 9.8, 6.6 Hz, 1H, CH), 3.03–2.96 (m, 1H, CHH), 2.56–2.22 (m, 3H, CHH, CH2), 1.15–0.93 (m, 21H, 3×CH, 6×CH3). Impurities: spectrum contains unknown signal at 1.25 ppm and grease signal at 0.07 ppm.
DOI: 10.14272/gygdjdfwrcpcej-setsbseesa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C30H35IO4Si/c1-18(2)36(19(3)4,20(5)6)35-21-15-16-30(29(34)24-13-9-10-14-26(24)31)25(17-21)27(32)22-11-7-8-12-23(22)28(30)33/h7-15,18-20,25H,16-17H2,1-6H3/t25-,30+/m0/s1

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (101 MHz, CDCl3, ppm) δ = 200.7 (Cq, 1 × C=O), 195.4 (Cq, 1 × C=O), 193.8 (Cq, 1 × C=O), 148.0 (Cq, 1 × CqAr), 142.7 (Cq, 1 × CqAr), 140.8 (+, 1 × CHAr), 135.3 (+, 1 × CHAr), 134.3 (+, 1 × CHAr), 134.2 (Cq, 1 × CqAr), 133.1 (Cq, 1 × Cq), 131.6 (+, 1 × CHAr), 127.4 (+, 1 × CHAr), 127.4 (+, 1 × CHAr), 127.3 (+, 1 × CHAr), 126.9 (+, 1 × CHAr), 99.4 (+, 1 × C=CH), 93.0 (Cq, 1 × CqAr), 67.9 (Cq, 1 × Cq), 50.7 (+, 1 × CH), 30.3 (–, 1 × CH2), 27.8 (–, 1 × CH2), 18.0 (+, 6 × CH3), 12.6 (+, 3 × SiCH). Impurities: spectrum contains unknown signals at 205.7, 142.0, 136.0, 134.7, 133.5, 132.0, 131.9, 128.1, 127.7, 126.5, 53.6, 29.8, 17.8 and 12.4 ppm.
DOI: 10.14272/gygdjdfwrcpcej-setsbseesa-n/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C30H35IO4Si/c1-18(2)36(19(3)4,20(5)6)35-21-15-16-30(29(34)24-13-9-10-14-26(24)31)25(17-21)27(32)22-11-7-8-12-23(22)28(30)33/h7-15,18-20,25H,16-17H2,1-6H3/t25-,30+/m0/s1

description: dataset for infrared absorption spectroscopy (IR) IR (ATR): ṽ = 2890 (w), 2862 (w), 1689 (w), 1668 (m), 1590 (w), 1460 (w), 1376 (w), 1287 (w), 1222 (m), 1201 (m), 1061 (w), 1014 (w), 881 (w), 853 (m), 797 (w), 767 (w), 753 (w), 736 (m), 692 (m), 633 (m), 501 (w), 431 (w), 402 (w) cm–1.
DOI: 10.14272/lwprqcgbqornhs-uhfffaoysa-n.1
title: C25H19BrF3NO4
title: InChI=1S/C25H19BrF3NO4/c1-12-9-18-20(31)15-5-3-4-6-16(15)21(32)24(18,11-13(12)2)22(33)17-10-14(7-8-19(17)26)30-23(34)25(27,28)29/h3-8,10,18H,9,11H2,1-2H3,(H,30,34)

description: This dataset contains experimental data from a sample (InChI=1S/C25H19BrF3NO4/c1-12-9-18-20(31)15-5-3-4-6-16(15)21(32)24(18,11-13(12)2)22(33)17-10-14(7-8-19(17)26)30-23(34)25(27,28)29/h3-8,10,18H,9,11H2,1-2H3,(H,30,34)). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) infrared absorption spectroscopy (IR) fast-atom bombardment mass spectrometry (FABMS)
DOI: 10.14272/lwprqcgbqornhs-uhfffaoysa-n/chmo0000563
title: fast-atom bombardment mass spectrometry (FABMS) ()
title: InChI=1S/C25H19BrF3NO4/c1-12-9-18-20(31)15-5-3-4-6-16(15)21(32)24(18,11-13(12)2)22(33)17-10-14(7-8-19(17)26)30-23(34)25(27,28)29/h3-8,10,18H,9,11H2,1-2H3,(H,30,34)

description: dataset for fast-atom bombardment mass spectrometry (FABMS) FAB (m/z, 3-NBA): 534/536 (25/21) [M+H]+, 294 (68), 239 (87).HRMS-FAB (m/z): [M]+ calcd for C25H20O4N79BrF3, 534.0528; found, 534.0530.
DOI: 10.14272/lwprqcgbqornhs-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C25H19BrF3NO4/c1-12-9-18-20(31)15-5-3-4-6-16(15)21(32)24(18,11-13(12)2)22(33)17-10-14(7-8-19(17)26)30-23(34)25(27,28)29/h3-8,10,18H,9,11H2,1-2H3,(H,30,34)

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (500 MHz, CDCl3, ppm) δ = 8.15 (brs, 1H, NH), 8.12 (dd, 3J = 7.5 Hz, 4J = 1.5 Hz, 1H, CHAr), 8.07 (dd, 3J = 7.5 Hz, 4J = 1.5 Hz, 1H, CHAr), 7.78 (dtd, 3J = 17.0, 7.5 Hz, 4J = 1.5 Hz, 2H, CHAr), 7.65 (d, 3J = 2.5 Hz, 1H, CHAr), 7.60 (d, 3J = 8.7 Hz, 1H, CHAr), 7.55 (dd, 3J = 8.7 Hz, 4J = 2.5 Hz, 1H, CHAr), 3.80 (t, 3J = 6.9 Hz, 1H, CH), 2.73 (d, 2J = 17.1 Hz, 1H, CHH), 2.49-2.40 (m, 2H, 2 × CHH), 2.34-2.24 (m, 1H, CHH), 1.61 (s, 3H, CH3), 1.45 (s, 3H, CH3). Impurities: spectrum contains ethyl acetate signals at 2.05 and 1.26 ppm and grease signal at 0.07 ppm.
DOI: 10.14457/cmu.the.2002.448
title: การเกาะติดของอีนาเมล์โดยพันธะเคมีระหว่างผิวแก้วกับโลหะ
DOI: 10.14457/cmu.the.2002.449
title: การสำรวจและเก็บรวบรวมพืชสมุนไพรบริเวณหมู่บ้านนาขวาง อำเภอบ่อเกลือ จังหวัดน่าน
DOI: 10.14457/cmu.the.2002.450
title: การเรียนรู้ทางสังคมที่เกี่ยวข้องกับการใช้สารเสพติดของชาวเขา
DOI: 10.14457/cmu.the.2002.451
title: การรับรู้ความรุนแรงของการเจ็บป่วย การสนับสนุนทางสังคมและความผาสุกทางจิตวิญญาณในผู้ป่วยมะเร็งเต้านม
DOI: 10.15468/98mmhe
title: The cassava mealybug, Phenacoccus manihoti Matile-Ferrero (Hemiptera: Coccomorpha: Pseudococcidae) arrives in India

description: This dataset contains the digitized treatments in Plazi based on the original journal article Joshi, Sunil, Pai, Sachin G., Deepthy, K. B., Ballal, Chandish R., Watson, Gillian W. (2020): The cassava mealybug, Phenacoccus manihoti Matile-Ferrero (Hemiptera: Coccomorpha: Pseudococcidae) arrives in India. Zootaxa 4772 (1): 191-194, DOI: https://doi.org/10.11646/zootaxa.4772.1.8
DOI: 10.1285/i20705948v13n1p86
title: A QSAR classification model of skin sensitization potential based on improving binary crow search algorithm

description: Classifying of skin sensitization using the quantitative structure-activity relationship (QSAR) model is important. Applying descriptor selection is essential to improve the performance of the classification task. Recently, a binary crow search algorithm (BCSA) was proposed, which has been successfully applied to solve variable selection. In this work, a new time-varying transfer function is proposed to improve the exploration and exploitation capability of the BCSA in selecting the most relevant descriptors in QSAR classification model with high classification accuracy and short computing time. The results demonstrated that the proposed method is reliable and can reasonably separate the compounds according to sensitizers or non-sensitizers with high classification accuracy.
DOI: 10.14272/cyvqcllxoponsh-gajhueqpsa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C24H17BrF3NO4/c1-12-8-9-23(17(10-12)19(30)14-4-2-3-5-15(14)20(23)31)21(32)16-11-13(6-7-18(16)25)29-22(33)24(26,27)28/h2-8,11,17H,9-10H2,1H3,(H,29,33)/t17-,23+/m0/s1

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (500 MHz, CDCl3, ppm) δ = 8.73 (brs, 1H, NH), 8.08 (dd, 3J = 7.6 Hz, 4J = 1.4 Hz, 1H, CHAr), 7.99 (dd, 3J = 7.6 Hz, 4J = 1.4 Hz, 1H, CHAr), 7.76 (td, 3J = 7.5 Hz, 4J = 1.5 Hz, 1H, CHAr), 7.72 (td, 3J = 7.5 Hz, 4J = 1.5 Hz, 1H, CHAr), 7.67 (d, 3J = 2.4 Hz, 1H, CHAr), 7.57–7.48 (m, 2H, CHAr), 5.25 (tt, 3J = 3.8 Hz, 4J = 1.7 Hz, 1H, C=CH), 3.79 (dd, 3J = 7.7, 6.4 Hz, 1H, CH), 2.84–2.78 (m, 1H, CHH), 2.53–2.48 (m, 1H, CHH), 2.42–2.30 (m, 1H, CHH), 2.25 (dd, 3J = 18.2, 6.4 Hz, 1H, CHH), 1.63 (s, 3H, CH3).Impurities: spectrum contains ethyl acetate signals at 4.12, 2.05 and 1.26 ppm and grease signal at 0.07 ppm as well as the signals of the other regioisomer (for example 7.62, 5.37, 3.67, 2.75 and 1.54 ppm).
DOI: 10.14272/foixcrbfvlpzhr-dwewyuiosa-n.1
title: C37H33BrO4Si
title: InChI=1S/C37H33BrO4Si/c1-36(2,3)43(26-14-6-4-7-15-26,27-16-8-5-9-17-27)42-25-22-23-37(35(41)30-20-12-13-21-32(30)38)31(24-25)33(39)28-18-10-11-19-29(28)34(37)40/h4-22,31H,23-24H2,1-3H3/t31-,37+/m0/s1

description: This dataset contains experimental data from a sample (InChI=1S/C37H33BrO4Si/c1-36(2,3)43(26-14-6-4-7-15-26,27-16-8-5-9-17-27)42-25-22-23-37(35(41)30-20-12-13-21-32(30)38)31(24-25)33(39)28-18-10-11-19-29(28)34(37)40/h4-22,31H,23-24H2,1-3H3/t31-,37+/m0/s1). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) fast-atom bombardment mass spectrometry (FABMS) infrared absorption spectroscopy (IR)
DOI: 10.14272/foixcrbfvlpzhr-dwewyuiosa-n/chmo0000563
title: fast-atom bombardment mass spectrometry (FABMS) ()
title: InChI=1S/C37H33BrO4Si/c1-36(2,3)43(26-14-6-4-7-15-26,27-16-8-5-9-17-27)42-25-22-23-37(35(41)30-20-12-13-21-32(30)38)31(24-25)33(39)28-18-10-11-19-29(28)34(37)40/h4-22,31H,23-24H2,1-3H3/t31-,37+/m0/s1

description: dataset for fast-atom bombardment mass spectrometry (FABMS) FAB(m/z, 3‑NBA): 649/651 (20/20) [M+H]+, 648/650 (7/14) [M]+, 466 (41), 465 (100), 185 (48), 183 (51). HRMS-FAB (m/z): [M]+ calcd for C37H34O479BrSi, 649.1410; found, 649.1408.
DOI: 10.14272/foixcrbfvlpzhr-dwewyuiosa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C37H33BrO4Si/c1-36(2,3)43(26-14-6-4-7-15-26,27-16-8-5-9-17-27)42-25-22-23-37(35(41)30-20-12-13-21-32(30)38)31(24-25)33(39)28-18-10-11-19-29(28)34(37)40/h4-22,31H,23-24H2,1-3H3/t31-,37+/m0/s1

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (500 MHz, CDCl3, ppm) δ = 8.13 (dd, 3J = 7.5 Hz, 4J = 1.4 Hz, 1H, CHAr), 8.02 (dd, 3J = 7.5 Hz, 4J = 1.4 Hz, 1H, CHAr), 7.80-7.72 (m, 2H, CHAr), 7.65-7.61 (m, 4H, CHAr), 7.57-7.53 (m, 1H, CHAr), 7.40-7.31 (m, 6H, CHAr), 7.21 (dd, 3J = 5.8 Hz, 4J = 3.5 Hz, 2H, CHAr), 7.14 (dd, 3J = 5.8 Hz, 4J = 3.5 Hz, 1H, CHAr), 4.52-4.50 (m, 1H, C=CH), 3.78 (dd, 3J = 8.8, 6.6 Hz, 1H, CH), 2.76-2.71 (m, 1H, CHH), 2.52-2.47 (m, 1H, CHH), 2.41-2.31 (m, 2H, CHH, CHH), 0.99 (s, 9H, 3 × CH3). Impurities: spectrum contains ethyl acetate signals at 4.12, 2.05 and 1.26 ppm.
DOI: 10.14272/foixcrbfvlpzhr-dwewyuiosa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C37H33BrO4Si/c1-36(2,3)43(26-14-6-4-7-15-26,27-16-8-5-9-17-27)42-25-22-23-37(35(41)30-20-12-13-21-32(30)38)31(24-25)33(39)28-18-10-11-19-29(28)34(37)40/h4-22,31H,23-24H2,1-3H3/t31-,37+/m0/s1

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (126 MHz, CDCl3, ppm) δ = 200.0 (Cq, 1 × C=O), 195.2 (Cq, 1 × C=O), 193.7 (Cq, 1 × C=O), 147.8 (Cq, 1 × CqAr), 138.9 (Cq, 1 × CqAr), 135.4 (+, 2 × CHAr), 135.4 (+, 2 × CHAr), 135.1 (+, 1 × CHAr), 134.2 (+, 1 × CHAr), 134.0 (Cq, 1 × CqAr), 133.8 (+, 1 × CHAr), 133.0 (Cq, 1 × CqAr), 132.8 (Cq, 1 × CqAr), 132.5 (Cq, 1 × Cq), 131.3 (+, 1 × CHAr), 129.8 (+, 2 × CHAr), 127.7 (+, 2 × CHAr), 127.7 (+, 2 × CHAr), 127.4 (+, 1 × CHAr), 127.3 (+, 1 × CHAr), 127.1 (+, 1 × CHAr), 126.6 (+, 1 × CHAr), 119.8 (Cq, 1 × CqAr), 101.0 (+, 1 × C=CH), 67.5 (Cq, 1 × Cq), 50.0 (+, 1 × CH), 29.5 (–, 1 × CH2), 27.4 (–, 1 × CH2), 26.4 (+, 3 × CH3), 19.2 (Cq, 1 × Cq). Impurities: spectrum contains unknown signals at 60.4, 21.1 and 14.2 ppm.
DOI: 10.14272/foixcrbfvlpzhr-dwewyuiosa-n/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C37H33BrO4Si/c1-36(2,3)43(26-14-6-4-7-15-26,27-16-8-5-9-17-27)42-25-22-23-37(35(41)30-20-12-13-21-32(30)38)31(24-25)33(39)28-18-10-11-19-29(28)34(37)40/h4-22,31H,23-24H2,1-3H3/t31-,37+/m0/s1

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ): 3070 (vw), 2930 (vw), 2856 (vw), 1679 (w), 1591 (w), 1470 (vw), 1427 (w), 1372 (vw), 1255 (w), 1241 (w), 1219 (w), 1194 (w), 1111 (w), 1062 (w), 1019 (w), 939 (w), 893 (vw), 851 (w), 821 (w), 796 (vw), 761 (vw), 736 (w), 699 (m), 646 (w), 612 (w), 550 (vw), 492 (w) cm–1.
DOI: 10.14457/cmu.the.2001.86
title: การดำเนินงานของโรงเรียนมัธยมศึกษาที่เอื้อต่อการเป็นโรงเรียนส่งเสริมสุขภาพ
DOI: 10.14457/cmu.the.2002.452
title: ฤทธิ์ในการยับยั้งการเจริญเติบโตของเชื้อราของกลุ่มอะซีทอกซีและไวนิลในสาร 1'-อะซีทอกซีชาวิคอลอะซีเทต
DOI: 10.14457/cmu.the.2002.453
title: การเรียนภาษาอังกฤษแบบประสบการณ์เพื่อเพิ่มพูนความสามารถทางภาษาและความรู้เนื้อหาของนักเรียนชั้นมัธยมศึกษาปีที่ 4
DOI: 10.14457/cmu.the.2002.454
title: การมีส่วนร่วมของเกษตรกรในการดำเนินงานของศูนย์ถ่ายทอดเทคโนโลยีการเกษตรประจำตำบลในจังหวัดลำปาง
DOI: 10.14457/cmu.the.2002.455
title: ปัจจัยที่มีผลต่อการยอมรับเทคโนโลยีก๊าซชีวภาพของเกษตรกรรายย่อยในจังหวัดเชียงใหม่
DOI: 10.14457/cmu.the.2002.456
title: ผลของเอทธานอลและอะซีตัลดีไฮด์ ต่อการควบคุมโรคเน่าราสีเขียวและคุณภาพของผลส้มเขียวหวาน
DOI: 10.14457/cmu.the.2002.457
title: การรวบรวมและเพาะเลี้ยง Cordyceps spp. จากอุทยานแห่งชาติดอยสุเทพ-ปุย จังหวัดเชียงใหม่
DOI: 10.14457/cmu.the.2002.458
title: การศึกษาบทสู่ขวัญและพิธีสู่ขวัญของขาวไทลื้อ อำเภอปัว จังหวัดน่าน
DOI: 10.14457/cmu.the.2002.459
title: ผลการใช้ภูมิปัญญาท้องถิ่นในการจัดการเรียนการสอนวิชาวิทยาศาสตร์ เรื่อง "ผลผลิตทางการเกษตรและการจัดการ"
DOI: 10.17632/4p2r4pmwyg.5
title: First-principles study of FeNi1-xCrx (0≤x≤1) disordered alloys from special quasirandom structures

description: The dataset includes related software packages (ATAT, Gibbs2, and Vaspkit) used in the calculations, the supercell models of FeNi1-xCrx disordered alloys constructed by special quasi-random structure method (mcsqs algorithm), the electronic structure energy data calculated by VASP software, the thermodynamic data obtained by Gibbs software (Gibbs2) fitting, and the ground state energy diagram, TDOS and PDOS diagram, E-V curve and related thermodynamic property curve obtained by using the origin software fitting.
DOI: 10.5255/ukda-sn-854076
title: Evaluating the impact of asymmetric peripheral vision loss on visual search in virtual reality 2016-2019
DOI: 10.1285/i20705948v13n1p96
title: Describing Software Developers Affectiveness through Markov chain Models

description: In this paper, we present an analysis of more than 500K comments from open-sourcerepositories of software systems.Our aim is to empirically determine how developers interact with each otherunder certain psychological conditions generated by politeness, sentiment andemotion expressed within developers' comments.Developers involved in an open-source projects do not usually know each other; they mainly communicate through mailing lists, chat rooms, and tools such as issue tracking systems.The way in which they communicate affects the development process and the productivity of the people involved in the project.We evaluated politeness, sentiment and emotions of comments posted by developers and studied the communication flow to understand how they interacted in the presence of impolite and negative comments (and vice versa).Our analysis shows that when in presence of impolite or negative comments, the probability of the next comment being impolite or negative is 14% and 25%, respectively; anger however,has a probability of 40% of being followed by a further anger comment.The result could help managers take control the development phases of a system, since social aspects can seriously affect a developer's productivity. In a distributed environment this may have a particular resonance.