cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10046440
title: CBS - Charging Behavior Survey

description: Two online surveys, one for BEV, and one for truck drivers, were set up and yielded a total of 348 responses, which are all included in this data set. For the BEV survey, stickers with QR codes linking to the respective online survey were attached to 56 charging stations in Munich and its surroundings. The truck survey was sent to professional truck drivers known to the Chair of Automotive Technology of the Technical University of Munich. 
The data repository available contains three data file types, all in CSV format:

The surveys' complete results are provided in both German (original) and English (translated) language (bev_survey_ger.csv, bev_survey_eng.csv, truck_survey_ger.csv, truck_survey_eng.csv).
Question encodings are given by bev_question_encoding.csv and truck_question_encoding.csv. These encoding files contain the original question texts, their English translations, the corresponding column name mapping to column names in the survey data CSV, and the data type per question.
bev_response_translation.csv and truck_response_translation.csv comprise all original response options and their English translations.
The data was collected from December 2022 to February 2023.
DOI: 10.5281/zenodo.10083066
title: CBS - Charging Behavior Survey

description: Two online surveys, one for BEV, and one for truck drivers, were set up and yielded a total of 348 responses, which are all included in this data set. For the BEV survey, stickers with QR codes linking to the respective online survey were attached to 56 charging stations in Munich and its surroundings. The truck survey was sent to professional truck drivers known to the Chair of Automotive Technology of the Technical University of Munich. 
The data repository available contains three data file types, all in CSV format:

The surveys' complete results are provided in both German (original) and English (translated) language (bev_survey_ger.csv, bev_survey_eng.csv, truck_survey_ger.csv, truck_survey_eng.csv).
Question encodings are given by bev_question_encoding.csv and truck_question_encoding.csv. These encoding files contain the original question texts, their English translations, the corresponding column name mapping to column names in the survey data CSV, and the data type per question.
bev_response_translation.csv and truck_response_translation.csv comprise all original response options and their English translations.
Additionally, we provide two Python files for an easy import of the data sets. 
The data was collected from December 2022 to February 2023.
DOI: 10.5281/zenodo.10083104
title: KREDIT MODUL TIZIMIDA OʻQITUVCHILARNI TANLASH JARAYONI ISHLAB CHIQISH
DOI: 10.5281/zenodo.10083105
title: KREDIT MODUL TIZIMIDA OʻQITUVCHILARNI TANLASH JARAYONI ISHLAB CHIQISH
DOI: 10.5281/zenodo.10083210
title: READING CHALLANGES AND IMPROVEMENTS.
DOI: 10.5281/zenodo.10083211
title: READING CHALLANGES AND IMPROVEMENTS.
DOI: 10.5281/zenodo.10083268
title: IQTISODIYOTNI RIVOJLANTIRISHDA INNOVATSIYALARNING ROLI
DOI: 10.5281/zenodo.10083266
title: IQTISODIYOTNI RIVOJLANTIRISHDA INNOVATSIYALARNING ROLI
DOI: 10.20387/bonares-km57-dprp
title: CATCHY long-term experiment plot boundaries

description: CATCHY long-term experiment plot boundaries
DOI: 10.5281/zenodo.10083301
title: necturus_beyeri_decontaminated_FSCR.fasta.gz

description: necturus_beyeri_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.10083300
title: necturus_beyeri_decontaminated_FSCR.fasta.gz

description: necturus_beyeri_decontaminated_FSCR.fasta.gz
DOI: 10.24403/jp.1335307
title: Konzeption und Wirkung von Aus- und Fortbildungsprogrammen im Bereich Deutsch als Fremdsprache am Beispiel von Deutsch Lehren Lernen : Einführung in den Themenschwerpunkt / Paul Voerkel ; Katarina Krzelj
DOI: 10.25829/jqba-ys79
title: Stand Structural Complexity Index (SSCI) from MyDiv plots in 2021
DOI: 10.5519/qd.wcxx9hl7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (125 records)
DOI: 10.24403/jp.1335303
title: Deutsch Lehren Lernen : eine Einführung / Michael K. Legutke
DOI: 10.6084/m9.figshare.21744113
title: Dynamic Heterogeneous Panel Analysis of Financial Market Disciplinary Effects on Fiscal Balance

description: This attachment contains data linked to the research article titled "Dynamic Heterogeneous Panel Analysis of Financial Market Disciplinary Effects on Fiscal Balance".<br>The dataset contains cyclically adjusted primary balance, long-term interest rate, interest payment as a share of revenue, effective borrowing cost, lagged public debt as a share of GDP, fiscal rule index, VXO index, EMU dummy, and partial sums of positive and negative changes in the long-term interest rate, interest payment, effective borrowing cost, and strucural primary balance.
DOI: 10.6084/m9.figshare.21744113.v1
title: Dynamic Heterogeneous Panel Analysis of Financial Market Disciplinary Effects on Fiscal Balance

description: This attachment contains data linked to the research article titled "Dynamic Heterogeneous Panel Analysis of Financial Market Disciplinary Effects on Fiscal Balance".<br>The dataset contains cyclically adjusted primary balance, long-term interest rate, interest payment as a share of revenue, effective borrowing cost, lagged public debt as a share of GDP, fiscal rule index, VXO index, EMU dummy, and partial sums of positive and negative changes in the long-term interest rate, interest payment, effective borrowing cost, and strucural primary balance.
DOI: 10.6084/m9.figshare.24525004
title: Data of Digital twin based balancing for human-robot assembly lines system

description: Data of Digital twin based balancing for human-robot assembly lines system
DOI: 10.6084/m9.figshare.24525043
title: Alignments and imputed variants for the following manuscript: "Low-pass sequencing plus imputation using avidity sequencing displays comparable imputation accuracy to sequencing by synthesis while reducing duplicates", bioRxiv DOI: https://doi.org/10.1101/2022.12.07.519512

description: This repository contains the alignments to GRCh37 and genome-wide imputed variants for the low pass sequence data generated as part of the following manuscript: https://doi.org/10.1101/2022.12.07.519512. See manuscript for further details.
DOI: 10.6084/m9.figshare.24525037
title: <b>HDAC inhibitors target IRS4 to enhance </b><b>anti-androgen </b><b>receptor (AR) therapy in AR-positive triple negative breast cancer</b>

description: CAL51 cell lines were treated with Enz and Chid alone or in combination
DOI: 10.6084/m9.figshare.24525037.v1
title: <b>HDAC inhibitors target IRS4 to enhance </b><b>anti-androgen </b><b>receptor (AR) therapy in AR-positive triple negative breast cancer</b>

description: CAL51 cell lines were treated with Enz and Chid alone or in combination
DOI: 10.24403/jp.1335305
title: Aufgaben in der Lehrendenbildung : eine deskriptive Analyse der Funktionen und des Lernpotenzials von Aufgaben im Programm Deutsch Lehren Lernen / Blaženka Abramović ; Michael Schart ; Marion Schuller
DOI: 10.24403/jp.1335304
title: Unterrichtsgeschehen wahrnehmen : die Schulung professioneller Unterrichtswahrnehmung mittels Videomitschnitten (UDOs) in DLL / Elisabeth Mühlum ; Constanze Saunders ; Julia Sternberg
DOI: 10.24403/jp.1335302
title: Einstellungen und Kompetenzen hinsichtlich Forschenden Lernens in DLL : eine Fragebogenerhebung unter am Programm teilnehmenden Deutschlehrenden weltweit / Bernd Helmbold ; Gamze Karbi ; Constanze Saunders
DOI: 10.24403/jp.1335310
title: Untersuchungen zum sprachlichen Niveau und zur Lesbarkeit der 6 Basis-Einheiten des Aus- und Fortbildungsprogramms Deutsch Lehren Lernen / Yingqiu Xu
DOI: 10.24403/jp.1335300
title: Kompetenzen von DLL-Trainer*innen – und was davon wirklich wichtig ist / Christiane Bolte-Cosabiei ; Annegret Schmidjell
DOI: 10.25403/upresearchdata.21940199
title: Testing for trematode prevalence in equids associated with management and evironmental practices

description: This dataset consists of detection of trematode infection in equids by comparing two different faecal testing techniques. Owner completed questionnaires were used to determine environmental and management practices which led to increased risk of infection and presence of clinical disease (recurrent colic/weightloss/diarrhoea) at the time of testing.
DOI: 10.24403/jp.1335306
title: Wenn DLL-Trainer*innen PEPpen / Anke Szczepanski ; Esther Siregar ; Narisa Dumrongvaree
DOI: 10.24403/jp.1335393
title: Auswirkungen des Praxiserkundungsprojektes auf die Entwicklung der Reflexionsfähigkeiten von chinesischen Studierenden : ein Praxisbericht / Huizi Yan ; Vera Trojansky
DOI: 10.6084/m9.figshare.21558846
title: Polydomus karssenii gen. nov. sp. nov. is a dark septate endophyte with a bifunctional lifestyle parasitising eggs of plant parasitic cyst nematodes (Heterodera spp.)

description: In this study a new taxon was investigated, which was previously isolated from eggs of the cereal cyst nematode<em> Heterodera</em> <em>filipjevi</em>, and roots of the brassicaceous plant species <em>Microthlaspi</em> <em>perfoliatum</em>. The phylogenetic relationships of all nematode and plant isolated strains with different geographic origins were studied using several loci including nuc rDNA ITS1-5.8S-ITS2 (internal transcribed spacer [ITS]), partial 28S nuc rDNA (28S), partial 18S nuc rDNA (18S), partial RNA polymerase II second-largest subunit (<em>rpb2</em>), and partial translation elongation factor 1-α (<em>tef1</em>). <em>Polydomus karssenii</em> gen. nov. sp. nov. (<em>Ascomycota</em>, <em>Pleosporales</em>, <em>Phaeosphaeriaceae</em>) is described and illustrated based on morphological and molecular phylogenetic evidence.
DOI: 10.24403/jp.1335299
title: Deutsch Lehren Lernen für Lehramtsstudierende ohne Unterrichtserfahrung : Vorschlag für ein adaptiertes Modell und Ansätze zur Betreuung von Planung und Durchführung von Praxiserkundungsprojekten / Emina Advić ; Emilija Bojkovska
DOI: 10.34740/kaggle/dsv/6921011
title: 📖  Wikipedia Articles in PlainText
DOI: 10.6084/m9.figshare.24525085
title: <i>Rhexocercosporidium matricariae </i>sp. nov. – a new pathogen on the medicinal plant <i>Matricaria recutida</i>

description: A new disease was observed on chamomile plants (<i>Matricaria recutita</i> L.) in various professionally cultivated fields in 2016 and 2017. From symptomatic stems and leaves the fungal species described here was isolated repeatedly. Koch´s postulates using in planta experiments were fulfilled by inoculation of chamomile plants proving the fungus to be the causal agent of the disease. Morphological studies and phylogenetic analyses using ITS, LSU, and <i>tef</i>-1α sequences suggested that the fungus represents a new species within the genus <i>Rhexocercosporidium</i> (<i>Helotiales</i>). The sequences of other loci including β-<i>tubulin</i> and <i>rpb</i>2 were also obtained and deposited in GenBank for potential uses in further studies. Detailed phylogenetic analyses as well as a description of the growth parameters, morphological structures and comprehensive illustrations of the new species, <i>Rhexocercosporidium matricariae</i>, are presented. All species so far assigned to <i>Rhexocercosporidium </i>are compared and discussed.
DOI: 10.6084/m9.figshare.24525085.v1
title: <i>Rhexocercosporidium matricariae </i>sp. nov. – a new pathogen on the medicinal plant <i>Matricaria recutida</i>

description: A new disease was observed on chamomile plants (<i>Matricaria recutita</i> L.) in various professionally cultivated fields in 2016 and 2017. From symptomatic stems and leaves the fungal species described here was isolated repeatedly. Koch´s postulates using in planta experiments were fulfilled by inoculation of chamomile plants proving the fungus to be the causal agent of the disease. Morphological studies and phylogenetic analyses using ITS, LSU, and <i>tef</i>-1α sequences suggested that the fungus represents a new species within the genus <i>Rhexocercosporidium</i> (<i>Helotiales</i>). The sequences of other loci including β-<i>tubulin</i> and <i>rpb</i>2 were also obtained and deposited in GenBank for potential uses in further studies. Detailed phylogenetic analyses as well as a description of the growth parameters, morphological structures and comprehensive illustrations of the new species, <i>Rhexocercosporidium matricariae</i>, are presented. All species so far assigned to <i>Rhexocercosporidium </i>are compared and discussed.
DOI: 10.25934/pr00008846
title: Predictors of Emergence of Drug Resistance While on Treatment for MDR-TB: A Meta-Analysis

description: Tuberculosis was the leading cause of death due to an infectious disease prior to the emergence of the COVID-19 pandemic.(3) Multidrug resistant-tuberculosis (MDR-TB) is tuberculosis that is resistant to both of the most effective first-line TB medications, isoniazid and rifampin. There were an estimated 450,000 incident cases of MDR-TB in 2021.(3) Treatment of MDR-TB can be difficult and cumbersome because of the necessity of using less effective medications that can often cause severe adverse events or require frequent visits to TB clinics for injections of medications. If emergence of new drug resistance occurs over the course of infection, the prescribed drug regimen may be rendered less effective.(4, 5)

In this study, we want to identify potential predictors of emergence of drug resistance. We will measure several variables at the beginning of follow-up, when participants are prescribed the anti-MDR-TB drug regimen. We will identify participants who develop resistance to at least one MDR-TB medication while they are on treatment for MDR-TB disease. We will then compare those who do develop resistance to those who do not to identify whether there are any characteristics present at the beginning of treatment that may indicate whether someone is at risk of developing resistance. The purpose of this study is to potentially identify those who will be at higher risk for poorer treatment outcomes and may need specialized monitoring while being treated for MDR-TB. The benefit of this study will be to assist clinicians in identifying those who are at risk for emergence of drug resistance while on treatment for MDR-TB, which may potentially improve treatment outcomes for these individuals.

One difficulty of studying emergence of drug resistance as an outcome is that it occurs rarely, and many studies of people with MDR-TB tend to have few participants. We will therefore attempt to combine data from three studies together for a meta-analysis in order to maximize the number of outcomes we can identify. The three studies include one clinical trial of delamanid included in a standard of care regimen, an agent being investigated for use in treatment of MDR-TB, compared to only a standard of care regimen. The second and third studies are both cohort studies of people who are on treatment for MDR-TB. Combining these studies will allow us to observe a rare outcome with enough frequency to be able to confidently answer our question – what are potential predictors of emergence of drug resistance while on treatment for MDR-TB?
DOI: 10.24403/jp.1335309
title: DLL für die Ausbildung von DaF-Lehrenden: Welche Kompetenzen lassen sich entwickeln? / Nataliia Vyshyvana ; Tetiana Solska ; Kateryna Poseletska
DOI: 10.25810/v575-3r57.59
title: Japanese Newspaper Coverage of Climate Change or Global Warming, 2000-2023 - September 2023

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.14272/rttrzizfyfymba-vgcwdtbqsa-m.1
title: C40H24AuF6N8P
title: InChI=1S/C40H24N8.Au.F5P.FH/c1-2-30-38(26-11-19-42-20-12-26)32-5-6-34(47-32)40(28-15-23-44-24-16-28)36-8-7-35(48-36)39(27-13-21-43-22-14-27)33-4-3-31(46-33)37(29(1)45-30)25-9-17-41-18-10-25;;1-6(2,3,4)5;/h1-24H;;;1H/q-2;+3;;/p-1/b37-29-,37-31-,38-30-,38-32-,39-33-,39-35-,40-34-,40-36-;;;

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/C40H24N8.Au.F5P.FH/c1-2-30-38(26-11-19-42-20-12-26)32-5-6-34(47-32)40(28-15-23-44-24-16-28)36-8-7-35(48-36)39(27-13-21-43-22-14-27)33-4-3-31(46-33)37(29(1)45-30)25-9-17-41-18-10-25;;1-6(2,3,4)5;/h1-24H;;;1H/q-2;+3;;/p-1/b37-29-,37-31-,38-30-,38-32-,39-33-,39-35-,40-34-,40-36-;;;, and canonical SMILES descriptor[cheminf_000007]: n1ccc(cc1)/C/1=C/2\C=CC(=N2)/C(=c\2/cc/c(=C(/C3=N/C(=C(\c4[n-]c1cc4)/c1ccncc1)/C=C3)\c1ccncc1)/[n-]2)/c1ccncc1.FP(F)(F)(F)F.[F-].[Au+3], 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-35512 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:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR) CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR) CHMO:0002337 | electrospray ionisation quadrupole detection (ESI Q Trap) 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/rttrzizfyfymba-vgcwdtbqsa-m/chmo0002337
title: electrospray ionisation quadrupole detection (ESI Q Trap) ()
title: InChI=1S/C40H24N8.Au.F5P.FH/c1-2-30-38(26-11-19-42-20-12-26)32-5-6-34(47-32)40(28-15-23-44-24-16-28)36-8-7-35(48-36)39(27-13-21-43-22-14-27)33-4-3-31(46-33)37(29(1)45-30)25-9-17-41-18-10-25;;1-6(2,3,4)5;/h1-24H;;;1H/q-2;+3;;/p-1/b37-29-,37-31-,38-30-,38-32-,39-33-,39-35-,40-34-,40-36-;;;

description: dataset for electrospray ionisation quadrupole detection (ESI Q Trap) HRMS (ESI): calcd for [C40H24AuN8}+ 813.1784, found. 813.1761.
DOI: 10.14272/rttrzizfyfymba-vgcwdtbqsa-m/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C40H24N8.Au.F5P.FH/c1-2-30-38(26-11-19-42-20-12-26)32-5-6-34(47-32)40(28-15-23-44-24-16-28)36-8-7-35(48-36)39(27-13-21-43-22-14-27)33-4-3-31(46-33)37(29(1)45-30)25-9-17-41-18-10-25;;1-6(2,3,4)5;/h1-24H;;;1H/q-2;+3;;/p-1/b37-29-,37-31-,38-30-,38-32-,39-33-,39-35-,40-34-,40-36-;;;

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (101 MHz, CD3CN, ppm) δ = 149.2 (8C), 146.2 (8C), 136.4 (8C), 132.6 (8C), 128.7 (8C).
DOI: 10.14272/rttrzizfyfymba-vgcwdtbqsa-m/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C40H24N8.Au.F5P.FH/c1-2-30-38(26-11-19-42-20-12-26)32-5-6-34(47-32)40(28-15-23-44-24-16-28)36-8-7-35(48-36)39(27-13-21-43-22-14-27)33-4-3-31(46-33)37(29(1)45-30)25-9-17-41-18-10-25;;1-6(2,3,4)5;/h1-24H;;;1H/q-2;+3;;/p-1/b37-29-,37-31-,38-30-,38-32-,39-33-,39-35-,40-34-,40-36-;;;

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, CD3CN, ppm) δ = 9.44 (s, 8H), 9.15 (d, J = 5.9 Hz, 8H), 8.26 (d, J = 5.9 Hz, 8H).
DOI: 10.14272/zdabjyrhapymal-ausihydxsa-a/chmo0001181
title: 1H-1H only para-hydrogen spectroscopy correlation spectroscopy (1H-1H OPSY-COSY) ()
title: InChI=1S/2C40H24N8.8C10H14.4C6H4O4.2Au.10F5P.10FH.8Ru/c2*1-2-30-38(26-11-19-42-20-12-26)32-5-6-34(47-32)40(28-15-23-44-24-16-28)36-8-7-35(48-36)39(27-13-21-43-22-14-27)33-4-3-31(46-33)37(29(1)45-30)25-9-17-41-18-10-25;8*1-8(2)10-6-4-9(3)5-7-10;4*7-3-1-4(8)6(10)2-5(3)9;;;10*1-6(2,3,4)5;;;;;;;;;;;;;;;;;;/h2*1-24H;8*4-8H,1-3H3;4*1-2,7,10H;;;;;;;;;;;;;10*1H;;;;;;;;/q2*-2;;;;;;;;;;;;;2*+3;;;;;;;;;;;;;;;;;;;;;8*+2/p-18/b2*37-29-,37-31-,38-30-,38-32-,39-33-,39-35-,40-34-,40-36-;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

description: dataset for 1H-1H only para-hydrogen spectroscopy correlation spectroscopy (1H-1H OPSY-COSY)
DOI: 10.14272/zdabjyrhapymal-ausihydxsa-a/chmo0001151
title: 1H--1H nuclear Overhauser enhancement spectroscopy (1H-1H NOESY) ()
title: InChI=1S/2C40H24N8.8C10H14.4C6H4O4.2Au.10F5P.10FH.8Ru/c2*1-2-30-38(26-11-19-42-20-12-26)32-5-6-34(47-32)40(28-15-23-44-24-16-28)36-8-7-35(48-36)39(27-13-21-43-22-14-27)33-4-3-31(46-33)37(29(1)45-30)25-9-17-41-18-10-25;8*1-8(2)10-6-4-9(3)5-7-10;4*7-3-1-4(8)6(10)2-5(3)9;;;10*1-6(2,3,4)5;;;;;;;;;;;;;;;;;;/h2*1-24H;8*4-8H,1-3H3;4*1-2,7,10H;;;;;;;;;;;;;10*1H;;;;;;;;/q2*-2;;;;;;;;;;;;;2*+3;;;;;;;;;;;;;;;;;;;;;8*+2/p-18/b2*37-29-,37-31-,38-30-,38-32-,39-33-,39-35-,40-34-,40-36-;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

description: dataset for 1H--1H nuclear Overhauser enhancement spectroscopy (1H-1H NOESY)
DOI: 10.14272/zdabjyrhapymal-ausihydxsa-a/chmo0000292
title: ultraviolet-visible spectrophotometry (UV-VIS) ()
title: InChI=1S/2C40H24N8.8C10H14.4C6H4O4.2Au.10F5P.10FH.8Ru/c2*1-2-30-38(26-11-19-42-20-12-26)32-5-6-34(47-32)40(28-15-23-44-24-16-28)36-8-7-35(48-36)39(27-13-21-43-22-14-27)33-4-3-31(46-33)37(29(1)45-30)25-9-17-41-18-10-25;8*1-8(2)10-6-4-9(3)5-7-10;4*7-3-1-4(8)6(10)2-5(3)9;;;10*1-6(2,3,4)5;;;;;;;;;;;;;;;;;;/h2*1-24H;8*4-8H,1-3H3;4*1-2,7,10H;;;;;;;;;;;;;10*1H;;;;;;;;/q2*-2;;;;;;;;;;;;;2*+3;;;;;;;;;;;;;;;;;;;;;8*+2/p-18/b2*37-29-,37-31-,38-30-,38-32-,39-33-,39-35-,40-34-,40-36-;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

description: dataset for ultraviolet-visible spectrophotometry (UV-VIS) UV-VIS (CH3CN), λmax (log ε) = 402.1 (5.7).
DOI: 10.14272/zdabjyrhapymal-ausihydxsa-a/chmo0000484
title: desorption electrospray ionisation mass spectrometry (DESIMS) ()
title: InChI=1S/2C40H24N8.8C10H14.4C6H4O4.2Au.10F5P.10FH.8Ru/c2*1-2-30-38(26-11-19-42-20-12-26)32-5-6-34(47-32)40(28-15-23-44-24-16-28)36-8-7-35(48-36)39(27-13-21-43-22-14-27)33-4-3-31(46-33)37(29(1)45-30)25-9-17-41-18-10-25;8*1-8(2)10-6-4-9(3)5-7-10;4*7-3-1-4(8)6(10)2-5(3)9;;;10*1-6(2,3,4)5;;;;;;;;;;;;;;;;;;/h2*1-24H;8*4-8H,1-3H3;4*1-2,7,10H;;;;;;;;;;;;;10*1H;;;;;;;;/q2*-2;;;;;;;;;;;;;2*+3;;;;;;;;;;;;;;;;;;;;;8*+2/p-18/b2*37-29-,37-31-,38-30-,38-32-,39-33-,39-35-,40-34-,40-36-;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

description: dataset for desorption electrospray ionisation mass spectrometry (DESIMS) HRMS (DESI): calcd for [C184H168Au2F42N16O16P7Ru8]3+ 1692.4035, found 1692.4058.
DOI: 10.14272/zdabjyrhapymal-ausihydxsa-a/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/2C40H24N8.8C10H14.4C6H4O4.2Au.10F5P.10FH.8Ru/c2*1-2-30-38(26-11-19-42-20-12-26)32-5-6-34(47-32)40(28-15-23-44-24-16-28)36-8-7-35(48-36)39(27-13-21-43-22-14-27)33-4-3-31(46-33)37(29(1)45-30)25-9-17-41-18-10-25;8*1-8(2)10-6-4-9(3)5-7-10;4*7-3-1-4(8)6(10)2-5(3)9;;;10*1-6(2,3,4)5;;;;;;;;;;;;;;;;;;/h2*1-24H;8*4-8H,1-3H3;4*1-2,7,10H;;;;;;;;;;;;;10*1H;;;;;;;;/q2*-2;;;;;;;;;;;;;2*+3;;;;;;;;;;;;;;;;;;;;;8*+2/p-18/b2*37-29-,37-31-,38-30-,38-32-,39-33-,39-35-,40-34-,40-36-;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, CD3CN, ppm) δ = 9.47 (d, J = 5.3 Hz, 8H), 9.06 (d, J = 5.8 Hz, 8H), 8.94 (d, J = 5.3 Hz, 8H), 8.69 (d, J = 5.8 Hz, 8H), 8.58 (dd, J = 5.8, 2.3 Hz, 8H), 7.49 (dd, J = 5.8, 2.3 Hz, 8H), 6.24 (s, 8H), 6.20 (dd, J = 8.1, 5.9 Hz, 16H), 6.01 (dd, J = 8.9, 6.0 Hz, 16H), 3.17 (p, J = 6.9 Hz, 8H), 2.48 (s, 24H), 1.58 (dd, J = 6.9, 5.5 Hz, 48H).