cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14272/jatqqyvbrxizhi-ntguuycisa-o.1
title: N-(6-(diethylamino)-9-(2-((4-((3S,6S)-3,6,16-tribenzyl-10,13-dibutyl-2,5,8,11,14,17-hexaoxo-1,4,7,10,13,16-hexaazacyclooctadecan-1-yl)butyl)carbamoyl)phenyl)-3H-xanthen-3-ylidene)-N-ethylethanaminium
title: InChI=1S/C73H89N9O8/c1-7-13-41-79-49-66(83)75-62(44-53-28-18-15-19-29-53)72(88)76-63(45-54-30-20-16-21-31-54)73(89)81(51-69(86)82(48-55-32-22-17-23-33-55)52-68(85)80(42-14-8-2)50-67(79)84)43-27-26-40-74-71(87)59-35-25-24-34-58(59)70-60-38-36-56(77(9-3)10-4)46-64(60)90-65-47-57(37-39-61(65)70)78(11-5)12-6/h15-25,28-39,46-47,62-63H,7-14,26-27,40-45,48-52H2,1-6H3,(H2-,74,75,76,83,87,88)/p+1/t62-,63-/m0/s1

description: This dataset contains experimental data from a sample (InChI=1S/C73H89N9O8/c1-7-13-41-79-49-66(83)75-62(44-53-28-18-15-19-29-53)72(88)76-63(45-54-30-20-16-21-31-54)73(89)81(51-69(86)82(48-55-32-22-17-23-33-55)52-68(85)80(42-14-8-2)50-67(79)84)43-27-26-40-74-71(87)59-35-25-24-34-58(59)70-60-38-36-56(77(9-3)10-4)46-64(60)90-65-47-57(37-39-61(65)70)78(11-5)12-6/h15-25,28-39,46-47,62-63H,7-14,26-27,40-45,48-52H2,1-6H3,(H2-,74,75,76,83,87,88)/p+1/t62-,63-/m0/s1). The datasets from the following experiments are available: high-performance liquid chromatography (HPLC) mass spectrometry (MS)
DOI: 10.17632/r4d3zcxrd3.1
title: MetadataWeevils2021

description: Here, we describe the results of a metadata analysis of all milfoil weevil (known) augmentation studies completed North America. Augmentation was completed in 133 experiments, and within the 133 cases, 34 lakes throughout the US and Canada are represented. The mifloil weevil is known to be a natural biocontrol for Eurasian Watermilfoil (EWM), and studies record lake characteristics, as well as augmentation strategy and if the weevil was successful at EWM reduction (studies completed within a single growing season). The spreadsheet table consists of a list of a predictors (we call features), that are believed to predict milfoil weevil success at watermilfoil reduction (units are also stated in the spreadsheet). In addition, success (in terms of watermilfoil reduction) is recorded in one of 5 ways. The first, called "All Augments" below, is a the qualitative statement of EWM increase (marked 0 for failure) or EWM decrease (marked 1 for success). 1. All Augments - Contains values for all studies that augmented lakes with weevils (N=133). 2. Output Stem Density - Contains only studies that had data in the column “Difference dry Milfoil density (stems/m2)”. Here, N=47. 3. Output Dry Weight Density - Studies that had data in the column “Difference dry Milfoil density (g/m2)”. Here, N=44. 4. Output Percent - Studies with data in column “% Difference Milfoil density”. Here, N=95 5. Relative Abundance - Studies with data in column “Change % Relative Abundance”. This is the difference (as a percent) in the proportion of EWM in a m2 grid, from the start to the end of the experiment, compared with native plants. Here, N=50. Estimates: Highlighted cells are estimated values for a certain feature. For more information on data and methodology, please contact the contributors.
DOI: 10.14272/jatqqyvbrxizhi-ntguuycisa-o/chmo0001009
title: high-performance liquid chromatography (HPLC) ()
title: InChI=1S/C73H89N9O8/c1-7-13-41-79-49-66(83)75-62(44-53-28-18-15-19-29-53)72(88)76-63(45-54-30-20-16-21-31-54)73(89)81(51-69(86)82(48-55-32-22-17-23-33-55)52-68(85)80(42-14-8-2)50-67(79)84)43-27-26-40-74-71(87)59-35-25-24-34-58(59)70-60-38-36-56(77(9-3)10-4)46-64(60)90-65-47-57(37-39-61(65)70)78(11-5)12-6/h15-25,28-39,46-47,62-63H,7-14,26-27,40-45,48-52H2,1-6H3,(H2-,74,75,76,83,87,88)/p+1/t62-,63-/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 = 20.5 min (&gt;99%).
DOI: 10.14272/jatqqyvbrxizhi-ntguuycisa-o/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C73H89N9O8/c1-7-13-41-79-49-66(83)75-62(44-53-28-18-15-19-29-53)72(88)76-63(45-54-30-20-16-21-31-54)73(89)81(51-69(86)82(48-55-32-22-17-23-33-55)52-68(85)80(42-14-8-2)50-67(79)84)43-27-26-40-74-71(87)59-35-25-24-34-58(59)70-60-38-36-56(77(9-3)10-4)46-64(60)90-65-47-57(37-39-61(65)70)78(11-5)12-6/h15-25,28-39,46-47,62-63H,7-14,26-27,40-45,48-52H2,1-6H3,(H2-,74,75,76,83,87,88)/p+1/t62-,63-/m0/s1

description: dataset for mass spectrometry (MS) MS (m/z, MALDI-TOF): 1221 [M+H]+, 1243 [M+Na]+.
DOI: 10.17632/h7jz79st9j.1
title: React Native vývoj aplikácie s využitím rožmýšľania nahlas

description: Súbor 10 videí z vývoja aplikácie v React Native s využitím rozmýšľania nahlas.
DOI: 10.14272/dnkaaepgdfhjig-dtsdqndwsa-o/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C61H67N7O6/c1-5-64(6-2)47-30-32-51-54(37-47)74-55-38-48(65(7-3)8-4)31-33-52(55)59(51)49-28-18-19-29-50(49)60(72)62-34-20-21-35-66-41-56(69)63-53(36-44-22-12-9-13-23-44)61(73)68(40-46-26-16-11-17-27-46)43-58(71)67(42-57(66)70)39-45-24-14-10-15-25-45/h9-19,22-33,37-38,53H,5-8,20-21,34-36,39-43H2,1-4H3,(H-,62,63,69,72)/p+1/t53-/m0/s1

description: dataset for mass spectrometry (MS) MS (m/z, MALDI-TOF): 995 [M+H]+, 1017 [M+Na]+.
DOI: 10.14272/dnkaaepgdfhjig-dtsdqndwsa-o/chmo0001009
title: high-performance liquid chromatography (HPLC) ()
title: InChI=1S/C61H67N7O6/c1-5-64(6-2)47-30-32-51-54(37-47)74-55-38-48(65(7-3)8-4)31-33-52(55)59(51)49-28-18-19-29-50(49)60(72)62-34-20-21-35-66-41-56(69)63-53(36-44-22-12-9-13-23-44)61(73)68(40-46-26-16-11-17-27-46)43-58(71)67(42-57(66)70)39-45-24-14-10-15-25-45/h9-19,22-33,37-38,53H,5-8,20-21,34-36,39-43H2,1-4H3,(H-,62,63,69,72)/p+1/t53-/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 (&gt;99%).
DOI: 10.14272/dnkaaepgdfhjig-dtsdqndwsa-o.1
title: (S)-N-(6-(diethylamino)-9-(2-((4-(4,7,9-tribenzyl-2,5,8,11-tetraoxo-1,4,7,10-tetraazacyclododecan-1-yl)butyl)carbamoyl)phenyl)-3H-xanthen-3-ylidene)-N-ethylethanaminium
title: InChI=1S/C61H67N7O6/c1-5-64(6-2)47-30-32-51-54(37-47)74-55-38-48(65(7-3)8-4)31-33-52(55)59(51)49-28-18-19-29-50(49)60(72)62-34-20-21-35-66-41-56(69)63-53(36-44-22-12-9-13-23-44)61(73)68(40-46-26-16-11-17-27-46)43-58(71)67(42-57(66)70)39-45-24-14-10-15-25-45/h9-19,22-33,37-38,53H,5-8,20-21,34-36,39-43H2,1-4H3,(H-,62,63,69,72)/p+1/t53-/m0/s1

description: This dataset contains experimental data from a sample (InChI=1S/C61H67N7O6/c1-5-64(6-2)47-30-32-51-54(37-47)74-55-38-48(65(7-3)8-4)31-33-52(55)59(51)49-28-18-19-29-50(49)60(72)62-34-20-21-35-66-41-56(69)63-53(36-44-22-12-9-13-23-44)61(73)68(40-46-26-16-11-17-27-46)43-58(71)67(42-57(66)70)39-45-24-14-10-15-25-45/h9-19,22-33,37-38,53H,5-8,20-21,34-36,39-43H2,1-4H3,(H-,62,63,69,72)/p+1/t53-/m0/s1). The datasets from the following experiments are available: mass spectrometry (MS) high-performance liquid chromatography (HPLC)
DOI: 10.14272/dnbluhbzpfsfbp-dtsdqndwsa-o/chmo0001009
title: high-performance liquid chromatography (HPLC) ()
title: InChI=1S/C61H66ClN7O6/c1-5-65(6-2)47-29-31-51-54(36-47)75-55-37-48(66(7-3)8-4)30-32-52(55)59(51)49-23-15-16-24-50(49)60(73)63-33-17-18-34-67-41-58(72)68(38-44-21-13-10-14-22-44)40-56(70)64-53(35-43-19-11-9-12-20-43)61(74)69(42-57(67)71)39-45-25-27-46(62)28-26-45/h9-16,19-32,36-37,53H,5-8,17-18,33-35,38-42H2,1-4H3,(H-,63,64,70,73)/p+1/t53-/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 = 14.6 min (89%).
DOI: 10.14272/dnbluhbzpfsfbp-dtsdqndwsa-o.1
title: (S)-N-(9-(2-((4-(6,10-dibenzyl-4-(4-chlorobenzyl)-2,5,8,11-tetraoxo-1,4,7,10-tetraazacyclododecan-1-yl)butyl)carbamoyl)phenyl)-6-(diethylamino)-3H-xanthen-3-ylidene)-N-ethylethanaminium
title: InChI=1S/C61H66ClN7O6/c1-5-65(6-2)47-29-31-51-54(36-47)75-55-37-48(66(7-3)8-4)30-32-52(55)59(51)49-23-15-16-24-50(49)60(73)63-33-17-18-34-67-41-58(72)68(38-44-21-13-10-14-22-44)40-56(70)64-53(35-43-19-11-9-12-20-43)61(74)69(42-57(67)71)39-45-25-27-46(62)28-26-45/h9-16,19-32,36-37,53H,5-8,17-18,33-35,38-42H2,1-4H3,(H-,63,64,70,73)/p+1/t53-/m0/s1

description: This dataset contains experimental data from a sample (InChI=1S/C61H66ClN7O6/c1-5-65(6-2)47-29-31-51-54(36-47)75-55-37-48(66(7-3)8-4)30-32-52(55)59(51)49-23-15-16-24-50(49)60(73)63-33-17-18-34-67-41-58(72)68(38-44-21-13-10-14-22-44)40-56(70)64-53(35-43-19-11-9-12-20-43)61(74)69(42-57(67)71)39-45-25-27-46(62)28-26-45/h9-16,19-32,36-37,53H,5-8,17-18,33-35,38-42H2,1-4H3,(H-,63,64,70,73)/p+1/t53-/m0/s1). The datasets from the following experiments are available: high-performance liquid chromatography (HPLC) mass spectrometry (MS)
DOI: 10.14272/dnbluhbzpfsfbp-dtsdqndwsa-o/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C61H66ClN7O6/c1-5-65(6-2)47-29-31-51-54(36-47)75-55-37-48(66(7-3)8-4)30-32-52(55)59(51)49-23-15-16-24-50(49)60(73)63-33-17-18-34-67-41-58(72)68(38-44-21-13-10-14-22-44)40-56(70)64-53(35-43-19-11-9-12-20-43)61(74)69(42-57(67)71)39-45-25-27-46(62)28-26-45/h9-16,19-32,36-37,53H,5-8,17-18,33-35,38-42H2,1-4H3,(H-,63,64,70,73)/p+1/t53-/m0/s1

description: dataset for mass spectrometry (MS) MS (m/z, MALDI-TOF): 1029 [M+H]+.
DOI: 10.14272/uqziupvcjvfekl-gotsbhomsa-n.1
title: (3S,6S)-6-(4-aminobutyl)-3-(4-(tert-butoxy)benzyl)-1,10-dibutyl-1,4,7,10-tetraazacyclododecane-2,5,8,11-tetraone
title: InChI=1S/C27H43N5O5/c1-3-5-15-31-18-24(34)29-22(9-7-8-14-28)26(36)30-23(17-20-10-12-21(33)13-11-20)27(37)32(16-6-4-2)19-25(31)35/h10-13,22-23,33H,3-9,14-19,28H2,1-2H3,(H,29,34)(H,30,36)/t22-,23-/m0/s1

description: This dataset contains experimental data from a sample (InChI=1S/C27H43N5O5/c1-3-5-15-31-18-24(34)29-22(9-7-8-14-28)26(36)30-23(17-20-10-12-21(33)13-11-20)27(37)32(16-6-4-2)19-25(31)35/h10-13,22-23,33H,3-9,14-19,28H2,1-2H3,(H,29,34)(H,30,36)/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/uqziupvcjvfekl-gotsbhomsa-n/chmo0001009
title: high-performance liquid chromatography (HPLC) ()
title: InChI=1S/C27H43N5O5/c1-3-5-15-31-18-24(34)29-22(9-7-8-14-28)26(36)30-23(17-20-10-12-21(33)13-11-20)27(37)32(16-6-4-2)19-25(31)35/h10-13,22-23,33H,3-9,14-19,28H2,1-2H3,(H,29,34)(H,30,36)/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 = 9.99 min (91%).
DOI: 10.14272/uqziupvcjvfekl-gotsbhomsa-n/chmo0001150
title: 1H--1H correlation spectroscopy (1H-1H COSY) ()
title: InChI=1S/C27H43N5O5/c1-3-5-15-31-18-24(34)29-22(9-7-8-14-28)26(36)30-23(17-20-10-12-21(33)13-11-20)27(37)32(16-6-4-2)19-25(31)35/h10-13,22-23,33H,3-9,14-19,28H2,1-2H3,(H,29,34)(H,30,36)/t22-,23-/m0/s1

description: dataset for 1H--1H correlation spectroscopy (1H-1H COSY)
DOI: 10.14272/uqziupvcjvfekl-gotsbhomsa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C27H43N5O5/c1-3-5-15-31-18-24(34)29-22(9-7-8-14-28)26(36)30-23(17-20-10-12-21(33)13-11-20)27(37)32(16-6-4-2)19-25(31)35/h10-13,22-23,33H,3-9,14-19,28H2,1-2H3,(H,29,34)(H,30,36)/t22-,23-/m0/s1

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (125 MHz, methanol-d4 [47.6 ppm], ppm): δ = 172.7 (Cq, CON), 170.9 (Cq, CON), 170.8 (Cq, CON), 170.7 (Cq, CON), 155.4 (Cq, tyr-CarO), 130.8 (+, 2 × tyr-CarH), 128.2 (Cq, tyr-Car),114.4 (+, 2 × tyr-CarH), 57.9 (+, lys-CαH), 52.2 (–, COCH2N), 50.7 (+, trp-CαH), 49.3 (–, N3m-C1H2), 49.2 (–, N3m-C1H2), 48.2 (–, COCH2N), 39.1 (–, lys-CεH2), 36.4 (–, trp-CH2), 32.8 (–, lys-CβH2), 30.5 (–, lys-CγH2), 30.0 (–, lys-CδH2), 29.0 (–, lys-CδH2), 26.8 (–, N3m-C2H2), 19.8 (–, N3m-C3H2), 19.5 (–, N3m-C3H2), 12.9 (–, N3m-CH3), 12.7 (–, N3m-CH3). Spectrum contains signals from other isomers/unknown impuritites at 166.9, 166.4, 130.1, 125.1, 56.4, 46.0, 39.2, 28.1, 19.7 ppm.
DOI: 10.14272/uqziupvcjvfekl-gotsbhomsa-n/chmo0001146
title: 1H--13C heteronuclear single quantum coherence (1H-13C HSQC) ()
title: InChI=1S/C27H43N5O5/c1-3-5-15-31-18-24(34)29-22(9-7-8-14-28)26(36)30-23(17-20-10-12-21(33)13-11-20)27(37)32(16-6-4-2)19-25(31)35/h10-13,22-23,33H,3-9,14-19,28H2,1-2H3,(H,29,34)(H,30,36)/t22-,23-/m0/s1

description: dataset for 1H--13C heteronuclear single quantum coherence (1H-13C HSQC)
DOI: 10.14272/uqziupvcjvfekl-gotsbhomsa-n/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C27H43N5O5/c1-3-5-15-31-18-24(34)29-22(9-7-8-14-28)26(36)30-23(17-20-10-12-21(33)13-11-20)27(37)32(16-6-4-2)19-25(31)35/h10-13,22-23,33H,3-9,14-19,28H2,1-2H3,(H,29,34)(H,30,36)/t22-,23-/m0/s1

description: dataset for mass spectrometry (MS) MS (m/z, MALDI-TOF): 518 [M+H]+, 540 [M+Na]+.
DOI: 10.14272/uqziupvcjvfekl-gotsbhomsa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C27H43N5O5/c1-3-5-15-31-18-24(34)29-22(9-7-8-14-28)26(36)30-23(17-20-10-12-21(33)13-11-20)27(37)32(16-6-4-2)19-25(31)35/h10-13,22-23,33H,3-9,14-19,28H2,1-2H3,(H,29,34)(H,30,36)/t22-,23-/m0/s1

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (500 MHz, methanol‑d4, ppm): δ = 7.02 (d, J = 8.3 Hz, 2H, 2 × tyr-CH), 6.73–6.68 (m, 2H, lys-NαH, tyr-NαH), 6.65 (d, J = 8.6 Hz, 2H, 2 × tyr-CH), 5.04 (dd, J = 11.2, 4.6 Hz, 1H, tyr-CαH), 4.33 (d, J = 17.7 Hz, 1H, COCHHN), 4.05–3.96 (m, 1H, N3m-C1HH), 3.91 (d, J = 15.2 Hz, 1H, COCHHN), 3.83 (d, J = 17.7 Hz, 1H, COCHHN), 3.75 (d, J = 15.4 Hz, 1H, COCHHN), 3.56–3.48 (m, 1H, lys-CαH), 3.38–3.33 (m, 1H, N3m-C1HH), 3.12 (dd, J = 14.4, 4.6 Hz, 1H, tyr-CHH), 2.88–2.82 (m, 4H, lys-CεH2, 2 × N3m-C1HH), 2.76–2.69 (m, 1H, tyr-CHH), 1.70–1.49 (m, 10H, **lys-CγH2, lys-CδH2, lys-NH2, 2 × N3m-C2H2), 1.41–1.24 (m, 6H, lys-CβH2, 2 × N3m-C3H2), 0.99–0.92 (m, 6H, 2 × N3m-CH3).Missing protons: ( 1H, tyr-OH).Spectrum contains signals from other isomers/unknown impuritites at 7.12–7.04 (m), 6.98–6.94 (m), 4.23–4.06 (m), 3.18–3.14 (m), 3.03–2.99 (m), 2.96–2.90 (m), 1.81–1.72 (m), 1.10 (d, J = 6.5 Hz), 0.83–0.75 ppm (m).
DOI: 10.14272/feqczndphqeccu-nnapyrdbsa-o/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C79H82Cl3N9O8/c1-5-86(6-2)62-37-39-66-70(45-62)99-71-46-63(87(7-3)8-4)38-40-67(71)76(66)64-23-15-16-24-65(64)77(96)83-41-17-18-42-88-51-73(93)90(48-57-27-33-60(81)34-28-57)53-75(95)91(49-58-29-35-61(82)36-30-58)52-74(94)89(47-56-25-31-59(80)32-26-56)50-72(92)84-68(43-54-19-11-9-12-20-54)78(97)85-69(79(88)98)44-55-21-13-10-14-22-55/h9-16,19-40,45-46,68-69H,5-8,17-18,41-44,47-53H2,1-4H3,(H2-,83,84,85,92,96,97)/p+1/t68-,69-/m0/s1

description: dataset for mass spectrometry (MS) MS (m/z, MALDI-TOF): 1391 [M+H]+, 1413 [M+Na]+, 1429 [M+K]+.
DOI: 10.14272/feqczndphqeccu-nnapyrdbsa-o.1
title: N-(9-(2-((4-((3S,6S)-3,6-dibenzyl-10,13,16-tris(4-chlorobenzyl)-2,5,8,11,14,17-hexaoxo-1,4,7,10,13,16-hexaazacyclooctadecan-1-yl)butyl)carbamoyl)phenyl)-6-(diethylamino)-3H-xanthen-3-ylidene)-N-ethylethanaminium
title: InChI=1S/C79H82Cl3N9O8/c1-5-86(6-2)62-37-39-66-70(45-62)99-71-46-63(87(7-3)8-4)38-40-67(71)76(66)64-23-15-16-24-65(64)77(96)83-41-17-18-42-88-51-73(93)90(48-57-27-33-60(81)34-28-57)53-75(95)91(49-58-29-35-61(82)36-30-58)52-74(94)89(47-56-25-31-59(80)32-26-56)50-72(92)84-68(43-54-19-11-9-12-20-54)78(97)85-69(79(88)98)44-55-21-13-10-14-22-55/h9-16,19-40,45-46,68-69H,5-8,17-18,41-44,47-53H2,1-4H3,(H2-,83,84,85,92,96,97)/p+1/t68-,69-/m0/s1

description: This dataset contains experimental data from a sample (InChI=1S/C79H82Cl3N9O8/c1-5-86(6-2)62-37-39-66-70(45-62)99-71-46-63(87(7-3)8-4)38-40-67(71)76(66)64-23-15-16-24-65(64)77(96)83-41-17-18-42-88-51-73(93)90(48-57-27-33-60(81)34-28-57)53-75(95)91(49-58-29-35-61(82)36-30-58)52-74(94)89(47-56-25-31-59(80)32-26-56)50-72(92)84-68(43-54-19-11-9-12-20-54)78(97)85-69(79(88)98)44-55-21-13-10-14-22-55/h9-16,19-40,45-46,68-69H,5-8,17-18,41-44,47-53H2,1-4H3,(H2-,83,84,85,92,96,97)/p+1/t68-,69-/m0/s1). The datasets from the following experiments are available: high-performance liquid chromatography (HPLC) mass spectrometry (MS)
DOI: 10.14272/feqczndphqeccu-nnapyrdbsa-o/chmo0001009
title: high-performance liquid chromatography (HPLC) ()
title: InChI=1S/C79H82Cl3N9O8/c1-5-86(6-2)62-37-39-66-70(45-62)99-71-46-63(87(7-3)8-4)38-40-67(71)76(66)64-23-15-16-24-65(64)77(96)83-41-17-18-42-88-51-73(93)90(48-57-27-33-60(81)34-28-57)53-75(95)91(49-58-29-35-61(82)36-30-58)52-74(94)89(47-56-25-31-59(80)32-26-56)50-72(92)84-68(43-54-19-11-9-12-20-54)78(97)85-69(79(88)98)44-55-21-13-10-14-22-55/h9-16,19-40,45-46,68-69H,5-8,17-18,41-44,47-53H2,1-4H3,(H2-,83,84,85,92,96,97)/p+1/t68-,69-/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 = 19.5 min (&gt;99%).
DOI: 10.21227/80dj-hs08
title: Supplementary dataset

description: Peer-to-peer (P2P) transactive energy trading has emerged as a promising paradigm towards maximizing the flexibility value of prosumers’ distributed energy resources (DERs). Although reinforcement learning constitutes a well-suited model-free and data-driven methodological framework to optimize prosumers’ energy management decisions, its application to the large-scale coordinated management and P2P trading among multiple prosumers within an energy community is still challenging, due to the scalability, non-stationarity and privacy drawbacks of state-of-the-art multi-agent deep reinforcement learning (MADRL) approaches. This paper proposes a novel P2P transactive trading scheme based on the multi-actor-attention-critic (MAAC) algorithm, which addresses the above challenges individually. This method is complemented by a P2P trading platform that incentivizes prosumers to engage in local energy trading while also penalizes each prosumer’s addition to rebound peaks.Case studies involving a real-world, large-scale scenario with 300 residential prosumers demonstrate that the proposed method significantly outperforms the state-of-the-art MADRL methods in reducing the community’s cost and peak demand.
DOI: 10.6084/m9.figshare.14679482.v1
title: Datasets supporting this article from The role of thermal diffusion, particle clusters, hydrodynamic and magnetic forces on the flow behaviour of magneto-polymer composites

description: Datasets supporting all figures in the article
DOI: 10.6084/m9.figshare.14679482
title: Datasets supporting this article from The role of thermal diffusion, particle clusters, hydrodynamic and magnetic forces on the flow behaviour of magneto-polymer composites

description: Datasets supporting all figures in the article
DOI: 10.25345/c5fc0b
title: MassIVE MSV000087518 - Proteomic analysis of M0, M1 and M2 macrophages from myeloid lineage-specific deoxyhipusine synthase knockout mice
title: Bone marrow cells from wild type control mice (n=6) and myeloid lineage-specific deoxyhipusine synthase knockout mice (n=4) were cultured in RPMI media containing 10% fetal bovine serum (FBS) and 10 ng/mL M-CSF. On day 7, the macrophages were differentiated into M1 with media containing 10 ng/mL LPS and 25ng/mL interferon gamma, or M2 with media containing 10 ng/mL IL-4. Cells were harvested and proteins were denatured in 8 M urea in 50 mM TRIS-HCl, pH 8.0. Disulfide bonds were reduced with 5 mM DTT and alkylated with 10 mM iodoacetamide. Proteins were digested with endoproteinase Lys-C followed by trypsin. Peptides were labeled with 16-plex TMT and fractionated by high pH reverse phase chromatography. Each fraction was analyzed by LC-MS/MS on a Q Exactive HF-X mass spectrometer. Data was searched with MS-GF+ using PNNL's DMS processing pipeline.
DOI: 10.17632/4pkd8thbsd.1
title: Simulation robot video

description: Videos mp4 containing frames used to map by xRatSLAM. The zip name refers to speed and light. Example: 11.zip (normal speed and normal light). shape: 1-eight, 2-loop_going, 3-loop_round_trip light: 1-normal, 2-high speed: 1-normal, 2-slow
DOI: 10.14457/cu.the.2000.96
title: Effect of cellulose polymorph trasformations on cellulosic fiber properties
DOI: 10.14457/cu.the.2000.97
title: The effectiveness of large middle meatal antrostomy vs small-hole maxillary ostium widening technique in fess operation for the prevention of recurrent maxillary sinusitis
DOI: 10.14457/cu.the.2000.98
title: การใช้ทรัพยากรสารนิเทศของนักศึกษามหาวิทยาลัยมหาสารคาม
DOI: 10.14457/cu.the.2000.99
title: การพัฒนาหลักสูตรการเขียนภาษาอังกฤษเพื่อการสื่อสารธุรกิจ ตามหลักการจัดการศึกษาแบบเน้นผลการเรียน สำหรับนักศึกษาสาขาบริหารธุรกิจ วิชาเอกภาษาอังกฤษธุรกิจ สถาบันเทคโนโลยีราชมงคล
DOI: 10.14457/cu.the.2002.275
title: Molecular designs and development of mono-substituted phenol-based benzoxazines : a controlled structure at molecular level and their unique supramolecular chemistry
DOI: 10.14457/cu.the.1983.30
title: การศึกษาและวิเคราะห์รูปแบบของแหล่งอุตสาหกรรมบริเวณลุ่มน้ำแม่กลอง
DOI: 10.17632/4ggn6b6x8d.2
title: Real-time filtering adaptive algorithms for non-stationary noise in electrocardiograms

description: The computer programs implement the adaptive algorithms for real-time ECG signal filtering and numerical simulation for evaluation of filter effectiveness. The adaptive algorithms with complex use Hampel identifiers and Z-parameter are an author’s development. To launch a program, enter the name of the program and the ECG model signal in the command line. For example: ahzmthp.exe clean.txt. The test signal parameters (its length) and parameters of the filtering algorithms are read from the text file named as “filters.txt”. The program requests the additive and multiplicative noise variance, the probability and the amplitude of the spikes, and the number of realizations for statistical averaging of the calculated filter performance indicators. For example, via the “space” key enter: 0.0001 0 0 0 200, then press “Enter”. To apply filtering to a test signal which is read from a text file, select the menu item "Load from file" by pressing the key "6". The filter results are put in the “RESULT” subfolder. The filter efficiency estimates are written to the "MSE.res" and "SNR.res" output text files. The input signal has an extension “.x” (no noise), “.xn” (with simulated noise), “.xns” (with noise and spikes). The signals from filter algorithms outputs have the extension “.yf”. Also, files with functions of identifiers used to adapt the algorithm parameters to the local signal behavior and to the changes in the noise level and with adaptable filter parameters, and other intermediate signals are put to the “RESULT” subfolder. Input and output signals are presented in text format in the form of two columns, where the first column is the numbering of the samples, the second one is the corresponding values of the discrete signal. The first number in the first line is the signal length. To apply filtering to signals of different lengths, the first number that indicates signal length in the second line in the "filters.txt" file has to be changed accordingly. Correction of the filter parameters (in the "filters.txt" ) for ECGs with another sampling rate is recommended. The program was compiled by Free Pascal.
DOI: 10.14457/cu.the.1983.31
title: การพัฒนาเครื่องวัดกาซเรดอน
DOI: 10.14457/cu.the.1984.3
title: การวิเคราะห์อิทธิพลของภาษาเขมรที่มีต่อการพูดและเขียนภาษาไทย ของนักเรียนชั้นมัธยมศึกษาปีที่หนึ่ง ที่พูดภาษาเขมรในจังหวัดบุรีรัมย์
DOI: 10.14457/cu.the.2001.202
title: HIV prevention partner counseling and testing in Quang Ninh, Hai Phong and Hai Duong Northern provinces, Vietnam
DOI: 10.14457/cu.the.2002.276
title: Characterization of polypyrrole coated latex particles by admicellar polymerization
DOI: 10.14457/cu.the.2001.203
title: การนำเสนอมาตรการควบคุมอุบัติการณ์ความเสี่ยงทางการพยาบาลผ่าตัด โรงพยาบาลจุฬาลงกรณ์
DOI: 10.14457/cu.the.2002.277
title: การจัดระบบบริการพยาบาลเพื่อพิทักษ์สิทธิผู้ป่วย งานผู้ป่วยนอก โรงพยาบาลหนองบัวลำภู
DOI: 10.14457/cu.the.2001.204
title: A comparative study on cost-effectiveness between resin and glass-ionomer used as pit and fissure sealant in mobile dental service for school children at municipality school, Buriram Province, Thailand