cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25921/d5d2-qq30
title: Dissolved inorganic carbon (DIC), total alkalinity (TA), partial pressure of carbon dioxide (pCO2) and other hydrographic biogeochemical measurements collected from discrete samples and profiling sensors during the Atlantic Zone Monitoring Program cruises in the Scotian Shelf, North Atlantic Ocean from 2014-09-19 to 2022-10-17 (NCEI Accession 0228686)

description: This dataset includes dissolved inorganic carbon (DIC), total alkalinity and partial pressure of carbon dioxide (pCO2), nutrients, dissolved oxygen, particulate organic carbon and nitrogen (POC and PON), pigment concentrations from discrete water samples and colored dissolved organic matter (CDOM) from the profiling sensor. Data were collected during the Atlantic Zone Monitoring Program (AZMP). The AZMP was implemented in 1998 with the aim of increasing Fisheries and Oceans Canada's (DFO) capacity to understand and forecast the state of the marine ecosystem and to quantify the changes in the ocean physical, chemical and biological properties. Ocean acidification program was implemented across the AZMP in 2014 funded by the Aquatic Climate Change Adaption Services Program (ACCASP). This submission covers measurements conducted by BIO (the Maritime region, DFO) in the Scotian Shelf, encompassing from the Cabot Strait to the Gulf of Maine, during the period from 2014-09-19 to 2022-10-17.
DOI: 10.6084/m9.figshare.28551605
title: Latin American Global Competitiveness - Data

description: The analysis considered variables such as trade openness, infrastructure investment, educational quality, inflation and institutional stability. The results of the study indicated that both trade openness and investment in education are key factors for strengthening regional competitiveness, while variables such as inflation and foreign direct investment did not show statistically significant impacts. It was also noted that investment in infrastructure and institutional strengthening play a fundamental role in the creation of a competitive environment. On the other hand, marked differences were identified in the levels of competitiveness among the countries analyzed, attributed to variations in their macroeconomic policies and development strategies.
DOI: 10.25921/rmmc-zc80
title: Sea Ice Surface Elevation derived from Airborne Topographic Mapper (ATM) lidar elevation data, Arctic, 2009-2018 (NCEI Accession 0237069)

description: The gridded Surface Elevation product is derived from Airborne Topographic Mapper (ATM) lidar elevation data acquired during annual, low-altitude NASA Operation IceBridge airborne surveys over Arctic sea ice. IceBridge ATM data were acquired from March 2009 to May 2018. Due to the conical scanning geometry of the ATM lidar, across-track sampling is non-uniform, with sampling density greatest at the swath edges. To account for the variation in sample density, ATM elevation data are gridded. Each grid cell has an along-track dimension of 30 m and an across-track dimension that is inversely proportional to the across-track sampling density. The grid configuration optimizes ATM sample density which provides high-resolution measurements of elevation while it still contains enough point measurements for robust statistical calculations.
DOI: 10.15468/dl.zyrpe2
title: Occurrence Download

description: A dataset containing 3803 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Euphorbia tirucalli L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 3803 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007892-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14988841
title: THE GROWTH OF QUANTUM COMPUTING: OPPORTUNITIES AND STRATEGIC ADVANTAGES FOR THE UNITED STATES

description: Quantum computing is emerging as a transformative technology with the potential to revolutionize various sectors, including cybersecurity, healthcare, artificial intelligence (AI), and financial modeling. The United States has taken significant steps to position itself as a global leader in quantum research and development, with investments from both the government and private sector. With increasing global competition, particularly from China and the European Union, the U.S. must prioritize innovation, research funding, and workforce development to maintain its technological supremacy. This paper explores the growth of quantum computing, the strategic advantages it offers the U.S., and the necessary policies and innovations required to maintain a competitive edge in the field.
DOI: 10.5281/zenodo.14988842
title: THE GROWTH OF QUANTUM COMPUTING: OPPORTUNITIES AND STRATEGIC ADVANTAGES FOR THE UNITED STATES

description: Quantum computing is emerging as a transformative technology with the potential to revolutionize various sectors, including cybersecurity, healthcare, artificial intelligence (AI), and financial modeling. The United States has taken significant steps to position itself as a global leader in quantum research and development, with investments from both the government and private sector. With increasing global competition, particularly from China and the European Union, the U.S. must prioritize innovation, research funding, and workforce development to maintain its technological supremacy. This paper explores the growth of quantum computing, the strategic advantages it offers the U.S., and the necessary policies and innovations required to maintain a competitive edge in the field.
DOI: 10.15468/dl.c96yz3
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Festuca violacea subsp. puccinellii (Parl.) Foggi, Gr.Rossi & Signorini, Festuca rubra var. puccinellii (Parl.) Fiori, Festuca puccinellii Parl.)",
 "Year 1960-2025"
 ]
}

 The dataset includes 53 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007893-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25921/vyg0-tv44
title: Seabird visual surveys using line-transect methods collected from USFWS aircraft in the Gulf of Mexico for the Gulf of Mexico Marine Assessment Program for Protected Species (GoMMAPPS) project from 2018-01-31 to 2020-02-12 (NCEI Accession 0247205)

description: As part of the Gulf of Mexico Marine Assessment Program for Protected Species (GoMMAPPS), the U.S. Fish and Wildlife Service conducted low-level (61m above sea level) seabird aerial surveys of Gulf of Mexico coastal waters out to 50nm offshore from the USA-Mexico border to Key West, FL (including the Dry Tortugas) from 2018-01-31 to 2020-02-12. Using a double-observer protocol, three observers collected data along 3 parallel 10nm transects spaced 1nm apart for 30nm transect/sampling hexagon units. Over 3 years, four survey events were completed representing greater than 36,000km of effort. Aerial survey crews recorded 13,581 avifauna detections representing 71,698 individuals. Observers identified 23 marine bird species (n = 52 all bird species identified) in total. Non-avifauna observations (e.g., marine mammals, sea turtles) totaled 3,160 individuals representing 2063 detections.
DOI: 10.25921/hagv-4b70
title: Water temperature, salinity, and others taken by CTD and ADCP from the research vessel Araon in the Bering Sea from 2021-07-08 to 2021-07-14 (NCEI Accession 0249377)

description: This dataset contains water temperature, salinity, and others from the research vessel Araon. In the Bering Sea, hydrographic data were collected by XCTD/CTD/ADCP. The temperature, salinity, ocean current data are in a form of vertical profiles from the sea surface to bottom at each observation site. Super station buoy data contain ocean currents, temperature, and salinity. Data are in text and CSV formats. This dataset is U.S. State Department MSR U2021-009 as part of the World Data Service for Oceanography.
DOI: 10.15468/dl.sjs53t
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Bursaphelenchus xylophilus Steiner & Buhrer, 1934"
 ]
}

 The dataset includes 25 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007981-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/ayvj7y
title: Sonocatalytic Activity of Porous Carbonaceous Materials for the Selective Oxidation of 4-Hydroxy-3,5-dimethoxybenzyl Alcohol

description: Selective oxidation, which is crucial in diverse chemical industries, transforms harmful chemicals into valuable compounds. Heterogeneous sonocatalysis, an emerging sustainable approach, urges in-depth exploration. In this work, we investigated N-doped or non-doped carbonaceous materials as alternatives to scarce, economically sensitive metal-based catalysts. Having synthesized diverse carbons using a hard-template technique, we subjected them to sonication at frequencies of 22, 100, 500, and 800 kHz with a 50% amplitude. Sonochemical reaction catalytic tests considerably increased the catalytic activity of C-meso (non-doped mesoporous carbon material). The scavenger test showed a radical formation when this catalyst was used. N-doped carbons did not show adequate and consistent sonoactivity for the selective oxidation of 4-Hydroxy-3,5 dimethoxybenzyl alcohol in comparison with control conditions without sonication, which might be associated with an acid–base interaction between the catalysts and the substrate and sonoactivity prohibition by piridinic nitrogen in N-doped catalysts.
DOI: 10.15468/dl.fary3r
title: Occurrence Download

description: A dataset containing 1533 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Euphorbia tithymaloides L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 1533 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007894-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14988864
title: ADABIYOTNING YOSH AVLOD TARBIYASIDAGI RO'LI

description: Adabiyotning yosh avlod tarbiyasidagi roli juda katta va ko‘p qirrali. Adabiyot nafaqat bilimlar, balki milliy va umumbashariy qadriyatlarni ham yoshlar ongiga singdirish vositasi hisoblanadi. Badiiy asarlar orqali yoshlar o‘zlari yashayotgan jamiyatning axloqiy va ma’naviy asoslarini, tarixiy an’analarini chuqurroq anglab yetadilar. Har bir adabiy asar o‘zining ijtimoiy, axloqiy va estetik mazmuni bilan yoshlarni yaxshi odam bo‘lishga, to‘g‘ri yo‘ldan yurishga, ezgu maqsadlar sari intilishlariga ilhomlantiradi. Shu bilan birga, adabiyotning yosh avlod tarbiyasidagi o‘rni shundaki, u tilni rivojlantirish, fikrlash va tushunish qobiliyatlarini shakllantirishda, tasavvur va his-tuyg‘ularni rivojlantirishda ham muhim vosita hisoblanadi. Yosh avlodni milliy adabiyot orqali tarbiyalash, ularning madaniyatini boyitish, an’analarga hurmatni shakllantirish, milliy iftixorni oshirishda ham adabiyotning o‘rni beqiyosdir. Shuningdek, adabiyot bolalar va yoshlar uchun dunyoqarashlarini kengaytiradigan, umumbashariy qadriyatlarni o‘rgatadigan, jamiyatda o‘z o‘rnini topish uchun zarur bo‘lgan axloqiy va estetik qoidalarni ta’lim beradi.
DOI: 10.5281/zenodo.14988865
title: ADABIYOTNING YOSH AVLOD TARBIYASIDAGI RO'LI

description: Adabiyotning yosh avlod tarbiyasidagi roli juda katta va ko‘p qirrali. Adabiyot nafaqat bilimlar, balki milliy va umumbashariy qadriyatlarni ham yoshlar ongiga singdirish vositasi hisoblanadi. Badiiy asarlar orqali yoshlar o‘zlari yashayotgan jamiyatning axloqiy va ma’naviy asoslarini, tarixiy an’analarini chuqurroq anglab yetadilar. Har bir adabiy asar o‘zining ijtimoiy, axloqiy va estetik mazmuni bilan yoshlarni yaxshi odam bo‘lishga, to‘g‘ri yo‘ldan yurishga, ezgu maqsadlar sari intilishlariga ilhomlantiradi. Shu bilan birga, adabiyotning yosh avlod tarbiyasidagi o‘rni shundaki, u tilni rivojlantirish, fikrlash va tushunish qobiliyatlarini shakllantirishda, tasavvur va his-tuyg‘ularni rivojlantirishda ham muhim vosita hisoblanadi. Yosh avlodni milliy adabiyot orqali tarbiyalash, ularning madaniyatini boyitish, an’analarga hurmatni shakllantirish, milliy iftixorni oshirishda ham adabiyotning o‘rni beqiyosdir. Shuningdek, adabiyot bolalar va yoshlar uchun dunyoqarashlarini kengaytiradigan, umumbashariy qadriyatlarni o‘rgatadigan, jamiyatda o‘z o‘rnini topish uchun zarur bo‘lgan axloqiy va estetik qoidalarni ta’lim beradi.
DOI: 10.14272/sszkoingdmlvaf-uhfffaoysa-l/chmo0000597
title: 19F nuclear magnetic resonance spectroscopy (19F NMR) ()
title: InChI=1S/C82H38F24N12O4.Ni/c1-121-73(119)33-7-3-31(4-8-33)63-107-55-27-51-52(28-56(55)108-63)66-111-65(51)113-69-59-47(35-15-39(75(83,84)85)23-40(16-35)76(86,87)88)11-13-49(37-19-43(79(95,96)97)25-44(20-37)80(98,99)100)61(59)71(117-69)115-67-53-29-57-58(110-64(109-57)32-5-9-34(10-6-32)74(120)122-2)30-54(53)68(112-67)116-72-62-50(38-21-45(81(101,102)103)26-46(22-38)82(104,105)106)14-12-48(60(62)70(114-66)118-72)36-17-41(77(89,90)91)24-42(18-36)78(92,93)94;/h3-30H,1-2H3,(H4,107,108,109,110,111,112,113,114,115,116,117,118,119,120);/q;+2/p-2

description: dataset for 19F nuclear magnetic resonance spectroscopy (19F NMR)
DOI: 10.14272/sszkoingdmlvaf-uhfffaoysa-l/chmo0002337
title: electrospray ionisation quadrupole detection (ESI Q Trap) ()
title: InChI=1S/C82H38F24N12O4.Ni/c1-121-73(119)33-7-3-31(4-8-33)63-107-55-27-51-52(28-56(55)108-63)66-111-65(51)113-69-59-47(35-15-39(75(83,84)85)23-40(16-35)76(86,87)88)11-13-49(37-19-43(79(95,96)97)25-44(20-37)80(98,99)100)61(59)71(117-69)115-67-53-29-57-58(110-64(109-57)32-5-9-34(10-6-32)74(120)122-2)30-54(53)68(112-67)116-72-62-50(38-21-45(81(101,102)103)26-46(22-38)82(104,105)106)14-12-48(60(62)70(114-66)118-72)36-17-41(77(89,90)91)24-42(18-36)78(92,93)94;/h3-30H,1-2H3,(H4,107,108,109,110,111,112,113,114,115,116,117,118,119,120);/q;+2/p-2

description: dataset for electrospray ionisation quadrupole detection (ESI Q Trap)
DOI: 10.14272/sszkoingdmlvaf-uhfffaoysa-l.1
title: C82H36F24N12NiO4
title: InChI=1S/C82H38F24N12O4.Ni/c1-121-73(119)33-7-3-31(4-8-33)63-107-55-27-51-52(28-56(55)108-63)66-111-65(51)113-69-59-47(35-15-39(75(83,84)85)23-40(16-35)76(86,87)88)11-13-49(37-19-43(79(95,96)97)25-44(20-37)80(98,99)100)61(59)71(117-69)115-67-53-29-57-58(110-64(109-57)32-5-9-34(10-6-32)74(120)122-2)30-54(53)68(112-67)116-72-62-50(38-21-45(81(101,102)103)26-46(22-38)82(104,105)106)14-12-48(60(62)70(114-66)118-72)36-17-41(77(89,90)91)24-42(18-36)78(92,93)94;/h3-30H,1-2H3,(H4,107,108,109,110,111,112,113,114,115,116,117,118,119,120);/q;+2/p-2

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367].
 The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]:
 InChI descriptor[cheminf_000113]: InChI=1S/C82H38F24N12O4.Ni/c1-121-73(119)33-7-3-31(4-8-33)63-107-55-27-51-52(28-56(55)108-63)66-111-65(51)113-69-59-47(35-15-39(75(83,84)85)23-40(16-35)76(86,87)88)11-13-49(37-19-43(79(95,96)97)25-44(20-37)80(98,99)100)61(59)71(117-69)115-67-53-29-57-58(110-64(109-57)32-5-9-34(10-6-32)74(120)122-2)30-54(53)68(112-67)116-72-62-50(38-21-45(81(101,102)103)26-46(22-38)82(104,105)106)14-12-48(60(62)70(114-66)118-72)36-17-41(77(89,90)91)24-42(18-36)78(92,93)94;/h3-30H,1-2H3,(H4,107,108,109,110,111,112,113,114,115,116,117,118,119,120);/q;+2/p-2, and canonical SMILES descriptor[cheminf_000007]: COC(=O)c1ccc(cc1)c1[nH]c2c(n1)cc1c(c2)/C/2=N/c3n4[Ni]n5/c(=N\C1=N2)/c1c(ccc(c1/c/5=N/C1=N/C(=N\c4c2c3c(ccc2c2cc(cc(c2)C(F)(F)F)C(F)(F)F)c2cc(cc(c2)C(F)(F)F)C(F)(F)F)/c2c1cc1c(c2)nc([nH]1)c1ccc(cc1)C(=O)OC)c1cc(cc(c1)C(F)(F)F)C(F)(F)F)c1cc(cc(c1)C(F)(F)F)C(F)(F)F, and by the IUPAC name[cheminf_000107]: .
 
 The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]:
 
 The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-31329

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 
 Boiling point descriptor[CHEMINF_000257]: 
 Refractive index descriptor[CHEMINF_000253]:

 The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]:
 
 CHMO:0000630 | infrared absorption spectroscopy (IR)
 
 CHMO:0000292 | ultraviolet-visible spectrophotometry (UV-VIS)
 
 CHMO:0002337 | electrospray ionisation quadrupole detection (ESI Q Trap)
 
 CHMO:0000597 | 19F nuclear magnetic resonance spectroscopy (19F NMR)
 
 The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: 

 Used ontologies:
 CHEBI - Chemical Entities of Biological Interest
 CHEMINF - chemical information ontology (information entities about chemical entities)
 CHMO - Chemical Methods Ontology
 OBI - Ontology for Biomedical Investigations
DOI: 10.14272/sszkoingdmlvaf-uhfffaoysa-l/chmo0000292
title: ultraviolet-visible spectrophotometry (UV-VIS) ()
title: InChI=1S/C82H38F24N12O4.Ni/c1-121-73(119)33-7-3-31(4-8-33)63-107-55-27-51-52(28-56(55)108-63)66-111-65(51)113-69-59-47(35-15-39(75(83,84)85)23-40(16-35)76(86,87)88)11-13-49(37-19-43(79(95,96)97)25-44(20-37)80(98,99)100)61(59)71(117-69)115-67-53-29-57-58(110-64(109-57)32-5-9-34(10-6-32)74(120)122-2)30-54(53)68(112-67)116-72-62-50(38-21-45(81(101,102)103)26-46(22-38)82(104,105)106)14-12-48(60(62)70(114-66)118-72)36-17-41(77(89,90)91)24-42(18-36)78(92,93)94;/h3-30H,1-2H3,(H4,107,108,109,110,111,112,113,114,115,116,117,118,119,120);/q;+2/p-2

description: dataset for ultraviolet-visible spectrophotometry (UV-VIS)
DOI: 10.14272/sszkoingdmlvaf-uhfffaoysa-l/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C82H38F24N12O4.Ni/c1-121-73(119)33-7-3-31(4-8-33)63-107-55-27-51-52(28-56(55)108-63)66-111-65(51)113-69-59-47(35-15-39(75(83,84)85)23-40(16-35)76(86,87)88)11-13-49(37-19-43(79(95,96)97)25-44(20-37)80(98,99)100)61(59)71(117-69)115-67-53-29-57-58(110-64(109-57)32-5-9-34(10-6-32)74(120)122-2)30-54(53)68(112-67)116-72-62-50(38-21-45(81(101,102)103)26-46(22-38)82(104,105)106)14-12-48(60(62)70(114-66)118-72)36-17-41(77(89,90)91)24-42(18-36)78(92,93)94;/h3-30H,1-2H3,(H4,107,108,109,110,111,112,113,114,115,116,117,118,119,120);/q;+2/p-2

description: dataset for infrared absorption spectroscopy (IR)
DOI: 10.14272/lzlbfgnmdbpdeg-uhfffaoysa-l/chmo0000597
title: 19F nuclear magnetic resonance spectroscopy (19F NMR) ()
title: InChI=1S/C80H34F24N12O4.Zn/c81-73(82,83)37-13-33(14-38(21-37)74(84,85)86)45-9-11-47(35-17-41(77(93,94)95)23-42(18-35)78(96,97)98)59-57(45)67-111-63-49-25-53-54(106-61(105-53)29-1-5-31(6-2-29)71(117)118)26-50(49)64(109-63)112-68-58-46(34-15-39(75(87,88)89)22-40(16-34)76(90,91)92)10-12-48(36-19-43(79(99,100)101)24-44(20-36)80(102,103)104)60(58)70(116-68)114-66-52-28-56-55(27-51(52)65(110-66)113-69(59)115-67)107-62(108-56)30-3-7-32(8-4-30)72(119)120;/h1-28H,(H6,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120);/q;+2/p-2

description: dataset for 19F nuclear magnetic resonance spectroscopy (19F NMR)
DOI: 10.14272/lzlbfgnmdbpdeg-uhfffaoysa-l/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C80H34F24N12O4.Zn/c81-73(82,83)37-13-33(14-38(21-37)74(84,85)86)45-9-11-47(35-17-41(77(93,94)95)23-42(18-35)78(96,97)98)59-57(45)67-111-63-49-25-53-54(106-61(105-53)29-1-5-31(6-2-29)71(117)118)26-50(49)64(109-63)112-68-58-46(34-15-39(75(87,88)89)22-40(16-34)76(90,91)92)10-12-48(36-19-43(79(99,100)101)24-44(20-36)80(102,103)104)60(58)70(116-68)114-66-52-28-56-55(27-51(52)65(110-66)113-69(59)115-67)107-62(108-56)30-3-7-32(8-4-30)72(119)120;/h1-28H,(H6,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120);/q;+2/p-2

description: dataset for infrared absorption spectroscopy (IR)
DOI: 10.14272/lzlbfgnmdbpdeg-uhfffaoysa-l/chmo0000292
title: ultraviolet-visible spectrophotometry (UV-VIS) ()
title: InChI=1S/C80H34F24N12O4.Zn/c81-73(82,83)37-13-33(14-38(21-37)74(84,85)86)45-9-11-47(35-17-41(77(93,94)95)23-42(18-35)78(96,97)98)59-57(45)67-111-63-49-25-53-54(106-61(105-53)29-1-5-31(6-2-29)71(117)118)26-50(49)64(109-63)112-68-58-46(34-15-39(75(87,88)89)22-40(16-34)76(90,91)92)10-12-48(36-19-43(79(99,100)101)24-44(20-36)80(102,103)104)60(58)70(116-68)114-66-52-28-56-55(27-51(52)65(110-66)113-69(59)115-67)107-62(108-56)30-3-7-32(8-4-30)72(119)120;/h1-28H,(H6,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120);/q;+2/p-2

description: dataset for ultraviolet-visible spectrophotometry (UV-VIS)