Search
| Leader | 00000nz a2200037n 45 0 | ||
|---|---|---|---|
| 001 | WKP|Q30503831 (VIAF cluster) (Authority/Source Record) | ||
| 003 | WKP | ||
| 005 | 20241121000124.0 | ||
| 008 | 241121nneanz||abbn n and d | ||
| 035 | ‡a (WKP)Q30503831 | ||
| 024 | ‡a 0000-0002-5887-2966 ‡2 orcid | ||
| 024 | ‡a 6603089025 ‡2 scopus | ||
| 035 | ‡a (OCoLC)Q30503831 | ||
| 100 | 0 | ‡a João Aires de Sousa ‡c chercheur ‡9 fr | |
| 375 | ‡a 1 ‡2 iso5218 | ||
| 400 | 0 | ‡a João Aires de Sousa ‡c researcher ‡9 en | |
| 400 | 0 | ‡a João Aires de Sousa ‡c wetenschapper ‡9 nl | |
| 400 | 0 | ‡a João Aires de Sousa ‡c investigador ‡9 ast | |
| 400 | 0 | ‡a João Aires de Sousa ‡c ricercatore ‡9 it | |
| 400 | 0 | ‡a João Aires de Sousa ‡c investigador ‡9 es | |
| 670 | ‡a Author's A big data approach to the ultra-fast prediction of DFT-calculated bond energies | ||
| 670 | ‡a Author's Assignment of EC numbers to enzymatic reactions with MOLMAP reaction descriptors and random forests. | ||
| 670 | ‡a Author's Automatic assignment of absolute configuration from 1D NMR data. | ||
| 670 | ‡a Author's Automatic NMR-based identification of chemical reaction types in mixtures of co-occurring reactions | ||
| 670 | ‡a Author's Automatic Perception of Chemical Similarities Between Metabolic Pathways | ||
| 670 | ‡a Author's Chirality Codes and Molecular Structure | ||
| 670 | ‡a Author's Combining Kohonen neural networks and variable selection by classification trees to cluster road soil samples | ||
| 670 | ‡a Author's Comparing roadsoils pollution patterns extracted by MOLMAP and classical three-way decomposition methods | ||
| 670 | ‡a Author's Correction to Sonified Infrared Spectra and Their Interpretation by Blind and Visually Impaired Students | ||
| 670 | ‡a Author's Design, synthesis and biological evaluation of novel isoniazid derivatives with potent antitubercular activity | ||
| 670 | ‡a Author's Estimation of Mayr electrophilicity with a quantitative structure-property relationship approach using empirical and DFT descriptors | ||
| 670 | ‡a Author's Expert system for predicting reaction conditions: the Michael reaction case. | ||
| 670 | ‡a Author's Exploration of automatic learning to establish relationships between the molecular structure of chiral ionic liquids and the specific optical rotation | ||
| 670 | ‡a Author's Exploration of quantitative structure–property relationships | ||
| 670 | ‡a Author's Exploration of quantitative structure–property relationships (QSPR) for the design of new guanidinium ionic liquids | ||
| 670 | ‡a Author's Genome-Scale Classification of Metabolic Reactions: A Chemoinformatics Approach | ||
| 670 | ‡a Author's Genome-scale classification of metabolic reactions and assignment of EC numbers with self-organizing maps | ||
| 670 | ‡a Author's Geographical classification of weathered crude oil samples with unsupervised self-organizing maps and a consensus criterion | ||
| 670 | ‡a Author's Machine Learning Classification of One-Chiral-Center Organic Molecules According to Optical Rotation | ||
| 670 | ‡a Author's Machine Learning Estimation of Atom Condensed Fukui Functions. | ||
| 670 | ‡a Author's Machine learning for the prediction of molecular dipole moments obtained by density functional theory | ||
| 670 | ‡a Author's Machine Learning Methods to Predict Density Functional Theory B3LYP Energies of HOMO and LUMO Orbitals. | ||
| 670 | ‡a Author's Machine learning of chemical reactivity from databases of organic reactions. | ||
| 670 | ‡a Author's Machine learning to predict the specific optical rotations of chiral fluorinated molecules | ||
| 670 | ‡a Author's Models for identification of erroneous atom-to-atom mapping of reactions performed by automated algorithms. | ||
| 670 | ‡a Author's NavMol 3.0: enabling the representation of metabolic reactions by blind users | ||
| 670 | ‡a Author's New Description of Molecular Chirality and Its Application to the Prediction of the Preferred Enantiomer in Stereoselective Reactions | ||
| 670 | ‡a Author's Online chemical modeling environment (OCHEM): web platform for data storage, model development and publishing of chemical information | ||
| 670 | ‡a Author's Physicochemical stereodescriptors of atomic chiral centers. | ||
| 670 | ‡a Author's Prediction of 1H NMR coupling constants with associative neural networks trained for chemical shifts. | ||
| 670 | ‡a Author's Prediction of enantiomeric excess in a combinatorial library of catalytic enantioselective reactions | ||
| 670 | ‡a Author's Prediction of enantiomeric selectivity in chromatography | ||
| 670 | ‡a Author's Prediction of enantioselectivity using chirality codes and Classification and Regression Trees | ||
| 670 | ‡a Author's QSAR analysis of phenolic antioxidants using MOLMAP descriptors of local properties | ||
| 670 | ‡a Author's Random forest prediction of mutagenicity from empirical physicochemical descriptors | ||
| 670 | ‡a Author's Sonified Infrared Spectra and Their Interpretation by Blind and Visually Impaired Students | ||
| 670 | ‡a Author's Structure-Based Classification of Chemical Reactions without Assignment of Reaction Centers | ||
| 670 | ‡a Author's Structure-based predictions of 1H NMR chemical shifts using feed-forward neural networks. | ||
| 670 | ‡a Author's Synthesis of Pyridazine Derivatives by Suzuki-Miyaura Cross-Coupling Reaction and Evaluation of Their Optical and Electronic Properties through Experimental and Theoretical Studies | ||
| 670 | ‡a Author's The impact of available experimental data on the prediction of 1H NMR chemical shifts by neural networks | ||
| 909 | ‡a (orcid) 0000000258872966 ‡9 1 | ||
| 909 | ‡a (scopus) 6603089025 ‡9 1 | ||
| 919 | ‡a estimationofmayrelectrophilicitywithaquantitativestructurepropertyrelationshipapproachusingempiricalanddftdescriptors ‡A Estimation of Mayr electrophilicity with a quantitative structure-property relationship approach using empirical and DFT descriptors ‡9 1 | ||
| 919 | ‡a explorationofautomaticlearningtoestablishrelationshipsbetweenthemolecularstructureofchiralionicliquidsandthespecificopticalrotation ‡A Exploration of automatic learning to establish relationships between the molecular structure of chiral ionic liquids and the specific optical rotation ‡9 1 | ||
| 919 | ‡a explorationofquantitativestructurepropertyrelationships ‡A Exploration of quantitative structure–property relationships ‡9 1 | ||
| 919 | ‡a expertsystemforpredictingreactionconditionsthemichaelreactioncase ‡A Expert system for predicting reaction conditions: the Michael reaction case. ‡9 1 | ||
| 919 | ‡a impactofavailableexperimentaldataonthepredictionof1hnmrchemicalshiftsbyneuralnetworks ‡A The impact of available experimental data on the prediction of 1H NMR chemical shifts by neural networks ‡9 1 | ||
| 919 | ‡a synthesisofpyridazinederivativesbysuzukimiyauracrosscouplingreactionandevaluationoftheiropticalandelectronicpropertiesthroughexperimentalandtheoreticalstudies ‡A Synthesis of Pyridazine Derivatives by Suzuki-Miyaura Cross-Coupling Reaction and Evaluation of Their Optical and Electronic Properties through Experimental and Theoretical Studies ‡9 1 | ||
| 919 | ‡a structurebasedpredictionsof1hnmrchemicalshiftsusingfeedforwardneuralnetworks ‡A Structure-based predictions of 1H NMR chemical shifts using feed-forward neural networks. ‡9 1 | ||
| 919 | ‡a structurebasedclassificationofchemicalreactionswithoutassignmentofreactioncenters ‡A Structure-Based Classification of Chemical Reactions without Assignment of Reaction Centers ‡9 1 | ||
| 919 | ‡a sonifiedinfraredspectraandtheirinterpretationbyblindandvisuallyimpairedstudents ‡A Sonified Infrared Spectra and Their Interpretation by Blind and Visually Impaired Students ‡9 1 | ||
| 919 | ‡a randomforestpredictionofmutagenicityfromempiricalphysicochemicaldescriptors ‡A Random forest prediction of mutagenicity from empirical physicochemical descriptors ‡9 1 | ||
| 919 | ‡a qsaranalysisofphenolicantioxidantsusingmolmapdescriptorsoflocalproperties ‡A QSAR analysis of phenolic antioxidants using MOLMAP descriptors of local properties ‡9 1 | ||
| 919 | ‡a predictionofenantioselectivityusingchiralitycodesandclassificationandregressiontrees ‡A Prediction of enantioselectivity using chirality codes and Classification and Regression Trees ‡9 1 | ||
| 919 | ‡a predictionofenantiomericselectivityinchromatography ‡A Prediction of enantiomeric selectivity in chromatography ‡9 1 | ||
| 919 | ‡a predictionofenantiomericexcessinacombinatoriallibraryofcatalyticenantioselectivereactions ‡A Prediction of enantiomeric excess in a combinatorial library of catalytic enantioselective reactions ‡9 1 | ||
| 919 | ‡a predictionof1hnmrcouplingconstantswithassociativeneuralnetworkstrainedforchemicalshifts ‡A Prediction of 1H NMR coupling constants with associative neural networks trained for chemical shifts. ‡9 1 | ||
| 919 | ‡a physicochemicalstereodescriptorsofatomicchiralcenters ‡A Physicochemical stereodescriptors of atomic chiral centers. ‡9 1 | ||
| 919 | ‡a onlinechemicalmodelingenvironmentochemwebplatformfordatastoragemodeldevelopmentandpublishingofchemicalinformation ‡A Online chemical modeling environment (OCHEM): web platform for data storage, model development and publishing of chemical information ‡9 1 | ||
| 919 | ‡a newdescriptionofmolecularchiralityanditsapplicationtothepredictionofthepreferredenantiomerinstereoselectivereactions ‡A New Description of Molecular Chirality and Its Application to the Prediction of the Preferred Enantiomer in Stereoselective Reactions ‡9 1 | ||
| 919 | ‡a navmol30enablingtherepresentationofmetabolicreactionsbyblindusers ‡A NavMol 3.0: enabling the representation of metabolic reactions by blind users ‡9 1 | ||
| 919 | ‡a modelsforidentificationoferroneousatomtoatommappingofreactionsperformedbyautomatedalgorithms ‡A Models for identification of erroneous atom-to-atom mapping of reactions performed by automated algorithms. ‡9 1 | ||
| 919 | ‡a machinelearningtopredictthespecificopticalrotationsofchiralfluorinatedmolecules ‡A Machine learning to predict the specific optical rotations of chiral fluorinated molecules ‡9 1 | ||
| 919 | ‡a machinelearningofchemicalreactivityfromdatabasesoforganicreactions ‡A Machine learning of chemical reactivity from databases of organic reactions. ‡9 1 | ||
| 919 | ‡a machinelearningmethodstopredictdensityfunctionaltheoryb3lypenergiesofhomoandlumoorbitals ‡A Machine Learning Methods to Predict Density Functional Theory B3LYP Energies of HOMO and LUMO Orbitals. ‡9 1 | ||
| 919 | ‡a machinelearningforthepredictionofmoleculardipolemomentsobtainedbydensityfunctionaltheory ‡A Machine learning for the prediction of molecular dipole moments obtained by density functional theory ‡9 1 | ||
| 919 | ‡a machinelearningestimationofatomcondensedfukuifunctions ‡A Machine Learning Estimation of Atom Condensed Fukui Functions. ‡9 1 | ||
| 919 | ‡a machinelearningclassificationof1chiralcenterorganicmoleculesaccordingtoopticalrotation ‡A Machine Learning Classification of One-Chiral-Center Organic Molecules According to Optical Rotation ‡9 1 | ||
| 919 | ‡a geographicalclassificationofweatheredcrudeoilsampleswithunsupervisedselforganizingmapsandaconsensuscriterion ‡A Geographical classification of weathered crude oil samples with unsupervised self-organizing maps and a consensus criterion ‡9 1 | ||
| 919 | ‡a genomescaleclassificationofmetabolicreactionsandassignmentofecnumberswithselforganizingmaps ‡A Genome-scale classification of metabolic reactions and assignment of EC numbers with self-organizing maps ‡9 1 | ||
| 919 | ‡a genomescaleclassificationofmetabolicreactionsachemoinformaticsapproach ‡A Genome-Scale Classification of Metabolic Reactions: A Chemoinformatics Approach ‡9 1 | ||
| 919 | ‡a bigdataapproachtotheultrafastpredictionofdftcalculatedbondenergies ‡A A big data approach to the ultra-fast prediction of DFT-calculated bond energies ‡9 1 | ||
| 919 | ‡a assignmentofecnumberstoenzymaticreactionswithmolmapreactiondescriptorsandrandomforests ‡A Assignment of EC numbers to enzymatic reactions with MOLMAP reaction descriptors and random forests. ‡9 1 | ||
| 919 | ‡a explorationofquantitativestructurepropertyrelationshipsqsprforthedesignofnewguanidiniumionicliquids ‡A Exploration of quantitative structure–property relationships (QSPR) for the design of new guanidinium ionic liquids ‡9 1 | ||
| 919 | ‡a automaticassignmentofabsoluteconfigurationfrom1dnmrdata ‡A Automatic assignment of absolute configuration from 1D NMR data. ‡9 1 | ||
| 919 | ‡a automaticnmrbasedidentificationofchemicalreactiontypesinmixturesofcooccurringreactions ‡A Automatic NMR-based identification of chemical reaction types in mixtures of co-occurring reactions ‡9 1 | ||
| 919 | ‡a automaticperceptionofchemicalsimilaritiesbetweenmetabolicpathways ‡A Automatic Perception of Chemical Similarities Between Metabolic Pathways ‡9 1 | ||
| 919 | ‡a chiralitycodesandmolecularstructure ‡A Chirality Codes and Molecular Structure ‡9 1 | ||
| 919 | ‡a combiningkohonenneuralnetworksandvariableselectionbyclassificationtreestoclusterroadsoilsamples ‡A Combining Kohonen neural networks and variable selection by classification trees to cluster road soil samples ‡9 1 | ||
| 919 | ‡a comparingroadsoilspollutionpatternsextractedbymolmapandclassical3waydecompositionmethods ‡A Comparing roadsoils pollution patterns extracted by MOLMAP and classical three-way decomposition methods ‡9 1 | ||
| 919 | ‡a correctiontosonifiedinfraredspectraandtheirinterpretationbyblindandvisuallyimpairedstudents ‡A Correction to Sonified Infrared Spectra and Their Interpretation by Blind and Visually Impaired Students ‡9 1 | ||
| 919 | ‡a designsynthesisandbiologicalevaluationofnovelisoniazidderivativeswithpotentantitubercularactivity ‡A Design, synthesis and biological evaluation of novel isoniazid derivatives with potent antitubercular activity ‡9 1 | ||
| 946 | ‡a b ‡9 1 | ||
| 996 | ‡2 ISNI|000000006918438X | ||
| 996 | ‡2 SUDOC|158600312 | ||
| 996 | ‡2 DNB|170699862 | ||
| 996 | ‡2 BNF|18044095 | ||
| 996 | ‡2 PTBNP|276083 | ||
| 996 | ‡2 LC|no2019023625 | ||
| 996 | ‡2 BNF|12716669 | ||
| 996 | ‡2 SUDOC|188045260 | ||
| 996 | ‡2 LC|n 84231073 | ||
| 996 | ‡2 PTBNP|237254 | ||
| 996 | ‡2 ISNI|0000000046508388 | ||
| 996 | ‡2 PTBNP|1308667 | ||
| 996 | ‡2 PTBNP|1675175 | ||
| 996 | ‡2 BNF|16510466 | ||
| 996 | ‡2 LC|no2007061689 | ||
| 996 | ‡2 ISNI|0000000068490668 | ||
| 996 | ‡2 PTBNP|1770223 | ||
| 996 | ‡2 LC|no2010112720 | ||
| 996 | ‡2 ISNI|0000000031779468 | ||
| 996 | ‡2 BNF|15648229 | ||
| 996 | ‡2 DNB|1305047036 | ||
| 996 | ‡2 PTBNP|200161 | ||
| 996 | ‡2 ISNI|0000000026827533 | ||
| 996 | ‡2 PTBNP|1224320 | ||
| 996 | ‡2 ISNI|0000000068989696 | ||
| 996 | ‡2 J9U|987007276069705171 | ||
| 996 | ‡2 PTBNP|1898591 | ||
| 996 | ‡2 BLBNB|000449881 | ||
| 996 | ‡2 NDL|00457206 | ||
| 996 | ‡2 PTBNP|78224 | ||
| 996 | ‡2 ISNI|0000000080884141 | ||
| 996 | ‡2 LC|no2001047612 | ||
| 996 | ‡2 PTBNP|1585745 | ||
| 996 | ‡2 BLBNB|000564917 | ||
| 996 | ‡2 LC|n 95922947 | ||
| 996 | ‡2 PTBNP|125004 | ||
| 996 | ‡2 LC|no2010132131 | ||
| 996 | ‡2 PTBNP|1584746 | ||
| 996 | ‡2 PTBNP|1040616 | ||
| 996 | ‡2 CAOONL|ncf11947216 | ||
| 996 | ‡2 ISNI|0000000032028500 | ||
| 996 | ‡2 SUDOC|069931682 | ||
| 996 | ‡2 ISNI|0000000373420455 | ||
| 996 | ‡2 ISNI|0000000067997782 | ||
| 996 | ‡2 BNE|XX1574737 | ||
| 996 | ‡2 LC|n 89242080 | ||
| 996 | ‡2 ISNI|0000000069317082 | ||
| 996 | ‡2 SUDOC|120862298 | ||
| 996 | ‡2 PTBNP|1272165 | ||
| 996 | ‡2 PTBNP|180218 | ||
| 996 | ‡2 PTBNP|510673 | ||
| 996 | ‡2 PTBNP|1435247 | ||
| 996 | ‡2 PTBNP|1625654 | ||
| 996 | ‡2 ISNI|0000000069084477 | ||
| 996 | ‡2 ISNI|0000000052893470 | ||
| 996 | ‡2 PTBNP|1186174 | ||
| 996 | ‡2 PTBNP|1353045 | ||
| 996 | ‡2 ISNI|0000000116916046 | ||
| 996 | ‡2 ISNI|0000000025388794 | ||
| 996 | ‡2 BLBNB|000360258 | ||
| 996 | ‡2 PTBNP|1089370 | ||
| 996 | ‡2 PTBNP|1044406 | ||
| 996 | ‡2 ISNI|0000000070412669 | ||
| 996 | ‡2 PTBNP|272843 | ||
| 996 | ‡2 SUDOC|256337225 | ||
| 996 | ‡2 DNB|1053089228 | ||
| 996 | ‡2 PTBNP|1218963 | ||
| 996 | ‡2 BLBNB|001417626 | ||
| 996 | ‡2 NKC|jo2016915726 | ||
| 996 | ‡2 BLBNB|000622088 | ||
| 996 | ‡2 LC|n 88013595 | ||
| 996 | ‡2 SUDOC|162010540 | ||
| 996 | ‡2 PTBNP|1377747 | ||
| 996 | ‡2 W2Z|90230924 | ||
| 996 | ‡2 PTBNP|160879 | ||
| 996 | ‡2 PLWABN|9811552716505606 | ||
| 996 | ‡2 PTBNP|263776 | ||
| 996 | ‡2 NTA|440204925 | ||
| 996 | ‡2 SUDOC|150697953 | ||
| 996 | ‡2 PTBNP|116323 | ||
| 996 | ‡2 ISNI|0000000035056814 | ||
| 996 | ‡2 PTBNP|197420 | ||
| 996 | ‡2 BLBNB|001038807 | ||
| 996 | ‡2 PTBNP|1394395 | ||
| 996 | ‡2 NTA|158182944 | ||
| 996 | ‡2 ISNI|0000000070100745 | ||
| 996 | ‡2 DNB|1056331178 | ||
| 996 | ‡2 PTBNP|1642302 | ||
| 996 | ‡2 ISNI|0000000069717203 | ||
| 996 | ‡2 PTBNP|216914 | ||
| 996 | ‡2 BNE|XX1424620 | ||
| 996 | ‡2 LC|nr 90010706 | ||
| 996 | ‡2 PTBNP|1409724 | ||
| 996 | ‡2 PTBNP|215244 | ||
| 996 | ‡2 LC|n 84153246 | ||
| 996 | ‡2 BNCHL|10000000000000000197997 | ||
| 996 | ‡2 BLBNB|000601622 | ||
| 996 | ‡2 ISNI|0000000367816429 | ||
| 996 | ‡2 BNF|13899941 | ||
| 996 | ‡2 ISNI|0000000069408793 | ||
| 996 | ‡2 CAOONL|ncf11766816 | ||
| 996 | ‡2 ISNI|0000000067672291 | ||
| 996 | ‡2 PLWABN|9810624324305606 | ||
| 996 | ‡2 BNF|11986473 | ||
| 996 | ‡2 PTBNP|712301 | ||
| 996 | ‡2 NUKAT|n 2007139514 | ||
| 996 | ‡2 BLBNB|000399184 | ||
| 996 | ‡2 ISNI|0000000068784199 | ||
| 996 | ‡2 ISNI|0000000068503035 | ||
| 996 | ‡2 PTBNP|228276 | ||
| 996 | ‡2 SUDOC|184238528 | ||
| 996 | ‡2 PTBNP|1567809 | ||
| 996 | ‡2 BLBNB|000512636 | ||
| 996 | ‡2 ISNI|0000000078348040 | ||
| 996 | ‡2 BLBNB|000360030 | ||
| 996 | ‡2 ISNI|0000000069810336 | ||
| 996 | ‡2 BLBNB|000360034 | ||
| 996 | ‡2 ISNI|0000000070927005 | ||
| 996 | ‡2 BLBNB|000360036 | ||
| 996 | ‡2 LC|n 79122078 | ||
| 996 | ‡2 PTBNP|1919743 | ||
| 996 | ‡2 LC|n 97905298 | ||
| 996 | ‡2 LC|n 96085191 | ||
| 996 | ‡2 PTBNP|251374 | ||
| 996 | ‡2 PTBNP|1721846 | ||
| 996 | ‡2 PTBNP|151623 | ||
| 996 | ‡2 DNB|105679366X | ||
| 996 | ‡2 SUDOC|127643974 | ||
| 996 | ‡2 PTBNP|1536988 | ||
| 996 | ‡2 LC|no 91022277 | ||
| 996 | ‡2 PTBNP|38250 | ||
| 996 | ‡2 ISNI|000000006683798X | ||
| 996 | ‡2 DNB|1128247526 | ||
| 996 | ‡2 PTBNP|1747306 | ||
| 996 | ‡2 ISNI|0000000065419612 | ||
| 996 | ‡2 PTBNP|1196038 | ||
| 996 | ‡2 SUDOC|06782515X | ||
| 996 | ‡2 LC|n 88113407 | ||
| 996 | ‡2 SELIBR|290132 | ||
| 996 | ‡2 ISNI|0000000069905992 | ||
| 996 | ‡2 BNE|XX1413551 | ||
| 996 | ‡2 PTBNP|1757417 | ||
| 996 | ‡2 ISNI|0000000068305514 | ||
| 996 | ‡2 PTBNP|1213258 | ||
| 996 | ‡2 PTBNP|64779 | ||
| 996 | ‡2 LC|no2016081490 | ||
| 996 | ‡2 SUDOC|148070140 | ||
| 996 | ‡2 ISNI|0000000071001271 | ||
| 996 | ‡2 DNB|132102374X | ||
| 996 | ‡2 SUDOC|257477780 | ||
| 996 | ‡2 LIH|LNB:HWG;=BC | ||
| 996 | ‡2 ISNI|0000000070730296 | ||
| 996 | ‡2 ISNI|0000000035743809 | ||
| 996 | ‡2 PTBNP|136775 | ||
| 996 | ‡2 PTBNP|1799939 | ||
| 996 | ‡2 ISNI|0000000067993159 | ||
| 996 | ‡2 ISNI|0000000084774687 | ||
| 996 | ‡2 PTBNP|1719636 | ||
| 996 | ‡2 PTBNP|186167 | ||
| 996 | ‡2 ISNI|0000000428245683 | ||
| 996 | ‡2 ISNI|0000000078834591 | ||
| 996 | ‡2 PTBNP|890255 | ||
| 996 | ‡2 ISNI|000000006918649X | ||
| 996 | ‡2 NTA|073364193 | ||
| 996 | ‡2 SUDOC|027926583 | ||
| 996 | ‡2 NKC|mzk2003182603 | ||
| 996 | ‡2 ISNI|0000000035040433 | ||
| 996 | ‡2 JPG|500355247 | ||
| 996 | ‡2 LC|n 2021054295 | ||
| 996 | ‡2 SUDOC|160614015 | ||
| 996 | ‡2 PLWABN|9812197442505606 | ||
| 996 | ‡2 PTBNP|813544 | ||
| 996 | ‡2 ISNI|0000000038405610 | ||
| 996 | ‡2 LC|nr 93046609 | ||
| 996 | ‡2 DNB|118972170 | ||
| 996 | ‡2 BLBNB|000202958 | ||
| 996 | ‡2 ISNI|0000000070717649 | ||
| 996 | ‡2 LC|n 2011043255 | ||
| 996 | ‡2 CAOONL|ncf11855611 | ||
| 996 | ‡2 ISNI|0000000069594063 | ||
| 996 | ‡2 LC|n 94066834 | ||
| 996 | ‡2 BLBNB|000279028 | ||
| 996 | ‡2 LC|nb2006004817 | ||
| 996 | ‡2 BLBNB|000361204 | ||
| 996 | ‡2 ISNI|0000000059792453 | ||
| 996 | ‡2 PTBNP|116271 | ||
| 996 | ‡2 PTBNP|116272 | ||
| 996 | ‡2 ISNI|0000000070536629 | ||
| 996 | ‡2 ISNI|0000000068282199 | ||
| 996 | ‡2 PTBNP|116277 | ||
| 996 | ‡2 PTBNP|1781515 | ||
| 996 | ‡2 PTBNP|116370 | ||
| 996 | ‡2 PTBNP|120651 | ||
| 996 | ‡2 LC|n 79077966 | ||
| 996 | ‡2 ISNI|0000000101905408 | ||
| 996 | ‡2 CAOONL|ncf10150979 | ||
| 996 | ‡2 NII|DA07719392 | ||
| 996 | ‡2 PTBNP|707729 | ||
| 996 | ‡2 ISNI|0000000111206299 | ||
| 996 | ‡2 ISNI|0000000119304934 | ||
| 996 | ‡2 SUDOC|252555457 | ||
| 996 | ‡2 ISNI|0000000067872007 | ||
| 996 | ‡2 PTBNP|1799024 | ||
| 996 | ‡2 DNB|1033028010 | ||
| 996 | ‡2 NSK|000053657 | ||
| 996 | ‡2 ISNI|0000000068921165 | ||
| 996 | ‡2 PTBNP|158955 | ||
| 996 | ‡2 LC|no2002003650 | ||
| 996 | ‡2 ISNI|0000000447451917 | ||
| 996 | ‡2 PTBNP|1865027 | ||
| 996 | ‡2 ISNI|0000000501581553 | ||
| 996 | ‡2 LC|n 2008216463 | ||
| 996 | ‡2 ISNI|0000000067224448 | ||
| 996 | ‡2 PTBNP|28740 | ||
| 996 | ‡2 DNB|111747822X | ||
| 996 | ‡2 BNF|11887620 | ||
| 996 | ‡2 LC|n 2020251299 | ||
| 996 | ‡2 BNF|12135673 | ||
| 996 | ‡2 N6I|vtls001383777 | ||
| 996 | ‡2 ISNI|0000000120982820 | ||
| 996 | ‡2 NTA|418229082 | ||
| 996 | ‡2 PTBNP|1487110 | ||
| 996 | ‡2 PTBNP|113883 | ||
| 996 | ‡2 ISNI|0000000068402621 | ||
| 996 | ‡2 NSK|000588641 | ||
| 996 | ‡2 ISNI|0000000068608996 | ||
| 996 | ‡2 BLBNB|000360071 | ||
| 996 | ‡2 NTA|074104365 | ||
| 996 | ‡2 LC|n 85080405 | ||
| 996 | ‡2 DNB|1012207633 | ||
| 996 | ‡2 PTBNP|752930 | ||
| 996 | ‡2 NTA|070726949 | ||
| 996 | ‡2 BNF|16913659 | ||
| 996 | ‡2 PTBNP|1652910 | ||
| 996 | ‡2 PTBNP|144429 | ||
| 996 | ‡2 ISNI|0000000070318605 | ||
| 996 | ‡2 BLBNB|001585304 | ||
| 996 | ‡2 LC|nb2022003571 | ||
| 996 | ‡2 PTBNP|1587043 | ||
| 996 | ‡2 BLBNB|000593813 | ||
| 996 | ‡2 ISNI|0000000081304380 | ||
| 996 | ‡2 RERO|A003850535 | ||
| 996 | ‡2 BNF|17811294 | ||
| 996 | ‡2 PTBNP|277328 | ||
| 996 | ‡2 LC|no2005010458 | ||
| 996 | ‡2 BLBNB|000184567 | ||
| 996 | ‡2 NII|DA11254929 | ||
| 996 | ‡2 ISNI|0000000068812575 | ||
| 996 | ‡2 PTBNP|1661435 | ||
| 996 | ‡2 NUKAT|n 2014183556 | ||
| 997 | ‡a 0 0 lived 0 0 ‡9 1 |
