cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21617541.v1
title: Supplementary Material for: Radioprotective Effect of Zinc Nanoparticles on Ionizing Radiation-Induced Nephrotoxicity in Miceds

description: <b><i>Introduction:</i></b> Ionizing radiation (IR) causes oxidative stress in kidneys and subsequently disrupts renal function. The use of green synthesized zinc nanoparticles (Zn NPs) with antioxidant properties may reduce the damage caused by IR. <b><i>Methods:</i></b> Thirty-six mice were kept in a standard situation and divided into 6 groups: 1: Control; 2–4: receiving 5 mg/kg, 10 mg/kg, and 25 mg/kg of Zn NPs with IR; 5: receiving 5 mg/kg of ZnSO<sub>4</sub> with IR; and 6: IR. After 15 days, half of the animals in each group were sacrificed and their blood samples isolated to evaluate the plasma urea and creatinine levels. The kidneys were kept for evaluating the glutathione (GSH), malondialdehyde (MDA), superoxide dismutase (SOD), and catalase (CAT) levels; on 21st day, the rest of the animals were sacrificed and their kidneys removed for histological assessments. <b><i>Results:</i></b> IR decreased GSH content, increased MDA level, and reduced SOD and CAT activity. On the other hand, Zn NPs at 10 and 25 mg/kg doses increased GSH, decreased MDA, and enhanced SOD and CAT activities. Zn NPs treatment at 10 and 25 mg/kg doses decreased the plasma urea and creatinine levels induced by IR. Moreover, Zn NPs significantly decreased the level of urea and creatinine in irradiated mice in comparison with IR alone (<i>p</i> &lt; 0.05). The main histopathological results were tubular and glomerular atrophy and interstitial fibrosis in irradiated mice, while tubular degeneration and atrophy were less frequent in Zn NPs + IR group than in IR group alone. <b><i>Conclusion:</i></b> Zn NPs treatment, especially at 25 mg/kg dose, attenuates the side effect of IR on kidneys through reducing oxidative stress factors, biochemical, and histopathological changes.
DOI: 10.6084/m9.figshare.21617283.v1
title: Supplementary Material for: Acute Kidney Injury: Clinical Characteristics and Short-Term Outcomes in 1,519 Patients

description: <b><i>Introduction:</i></b> Complex integrated information on disease mechanisms and in-hospital outcomes in mild to moderate acute kidney injury (AKI) is scarce. <b><i>Methods:</i></b> The Stockholm Prospective AKI Cohort Study (SAKIS) included all patients (≥18 years, <i>n</i> = 1,519) with community-acquired AKI (KDIGO criteria) admitted to the nephrology ward at Danderyd University Hospital, Stockholm, Sweden, between 2009 and 2018. Detailed laboratory measures were registered. Odds ratio for hypo- and hyperkalemia, recovery of kidney function by 30% and 50%, and in-hospital mortality were assessed by logistic regression analysis. <b><i>Results:</i></b> Factors independently associated with the presence of hyperkalemia at admission were high age, high serum creatinine (sCr), and low C-reactive protein (CRP). Signs of malnutrition, inflammation, and acidosis were seen in 31% of patients. Kidney recovery, defined as a reduction of sCr by 30% in-hospital (63% of all patients), was associated with higher age, female sex, lower body mass index (BMI), higher hemoglobin, and higher CRP. Factors independently associated with mortality (4.4% of patients) were high age, high BMI, and low albumin. <b><i>Conclusion:</i></b> This study provides a detailed description of community-acquired AKI and comprehensive analyses of integrated clinical and laboratory data associated with kidney recovery. Features related to anemia, albuminuria, malnutrition, inflammation, and acidosis associate with partial or moderate short-term recovery of kidney function, with disturbances in potassium homeostasis, and with in-hospital mortality. Future studies are warranted to analyze the long-term consequences of AKI in terms of risk of kidney failure, cardiovascular morbidity, and mortality.
DOI: 10.6084/m9.figshare.21617568
title: HCW data - repository.xls

description: COVID-19 breakthrough infection among Health care workers
DOI: 10.6084/m9.figshare.21617568.v1
title: HCW data - repository.xls

description: COVID-19 breakthrough infection among Health care workers
DOI: 10.5281/zenodo.7330331
title: Catalan CBOW Word Embeddings in Floret

description: <strong>Embeddings with the Catalan Textual Corpus</strong> The embeddings have been trained with a Catalan textual corpus of more than 34GB of data using floret with the following hyperparameters: mode: str = "floret",<br> model: str = "cbow",<br> dim: int = 300,<br> mincount: int = 10,<br> minn: int = 5,<br> maxn: int = 6,<br> neg: int = 10,<br> hashcount: int = 2,<br> bucket: int = 50000,<br> thread: int = 128, The Catalan Textual Corpus used to train this embeddings, is the extended version of the initial available corpora described in Armengol-Estapé et al. (2021). This new version includes: Corpus Size in GB CaCrawlat 13.00 Wikipedia 1.10 DOGC 0.78 Catalan Open Subtitles 0.02 Catalan Oscar 4.00 CaWaC 3.60 Cat. General Crawling 2.50 Cat. Goverment Crawling 0.24 ACN 0.42 Padicat 0.63 RacoCatalà 8.10 NacióDigital 0.42 VilaWeb 0.06 From the new corpora, VilaWeb and NacióDigital come from digital newspapers, Padicat is composed of crawlings of the Biblioteca de Catalunya, and CaCrawlat comes from the Biblioteca Nacional de España (BNE). The processing took place on an HPC node equipped with an AMD EPYC 7742 (@ 2.250GHz) processor with 128 threads. <strong>How to use</strong> First initialize the spacy vectors from the floret table (.floret file): <pre><code class="language-bash">spacy init vectors ca floret_embeddings_ca.floret floret_embeddings_ca --mode floret</code></pre> <pre><code class="language-python">import spacy # Load the floret vectors floret_embeddings = spacy.load("floret_embeddings_ca") # Get the embeddings of some words castanyes = floret_embeddings.vocab["castanyes"] flors = floret_embeddings.vocab["flors"] primavera = floret_embeddings.vocab["primavera"] tardor = floret_embeddings.vocab["tardor"] # Get some similarities print(flors.similarity(tardor)) print(flors.similarity(primavera)) # flors should be more similar to primavera than tardor. print(castanyes.similarity(primavera)) print(castanyes.similarity(tardor)) # castanyes should be more similar to tardor than primavera.</code></pre> <strong>Intended Uses and Limitations</strong> At the time of submission, no measures have been taken to estimate the bias and toxicity embedded in the model. However, we are well aware that our models may be biased since the corpora have been collected using crawling techniques on multiple web sources. We intend to conduct research in these areas in the future, and if completed, this card will be updated. <strong>Authors</strong> The Text Mining Unit from Barcelona Supercomputing Center. <strong>Contact Information</strong> For further information, send an email to aina@bsc.es. <strong>Funding</strong> This work was funded by the Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya within the framework of Projecte AINA. <strong>Copyright</strong> Copyright (c) 2022 Text Mining Unit - Barcelona Supercomputing Center.
DOI: 10.5281/zenodo.7330330
title: Catalan CBOW Word Embeddings in Floret

description: <strong>Embeddings with the Catalan Textual Corpus</strong> The embeddings have been trained with a Catalan textual corpus of more than 34GB of data using floret with the following hyperparameters: mode: str = "floret",<br> model: str = "cbow",<br> dim: int = 300,<br> mincount: int = 10,<br> minn: int = 5,<br> maxn: int = 6,<br> neg: int = 10,<br> hashcount: int = 2,<br> bucket: int = 50000,<br> thread: int = 128, The Catalan Textual Corpus used to train this embeddings, is the extended version of the initial available corpora described in Armengol-Estapé et al. (2021). This new version includes: Corpus Size in GB CaCrawlat 13.00 Wikipedia 1.10 DOGC 0.78 Catalan Open Subtitles 0.02 Catalan Oscar 4.00 CaWaC 3.60 Cat. General Crawling 2.50 Cat. Goverment Crawling 0.24 ACN 0.42 Padicat 0.63 RacoCatalà 8.10 NacióDigital 0.42 VilaWeb 0.06 From the new corpora, VilaWeb and NacióDigital come from digital newspapers, Padicat is composed of crawlings of the Biblioteca de Catalunya, and CaCrawlat comes from the Biblioteca Nacional de España (BNE). The processing took place on an HPC node equipped with an AMD EPYC 7742 (@ 2.250GHz) processor with 128 threads. <strong>How to use</strong> First initialize the spacy vectors from the floret table (.floret file): <pre><code class="language-bash">spacy init vectors ca floret_embeddings_ca.floret floret_embeddings_ca --mode floret</code></pre> <pre><code class="language-python">import spacy # Load the floret vectors floret_embeddings = spacy.load("floret_embeddings_ca") # Get the embeddings of some words castanyes = floret_embeddings.vocab["castanyes"] flors = floret_embeddings.vocab["flors"] primavera = floret_embeddings.vocab["primavera"] tardor = floret_embeddings.vocab["tardor"] # Get some similarities print(flors.similarity(tardor)) print(flors.similarity(primavera)) # flors should be more similar to primavera than tardor. print(castanyes.similarity(primavera)) print(castanyes.similarity(tardor)) # castanyes should be more similar to tardor than primavera.</code></pre> <strong>Intended Uses and Limitations</strong> At the time of submission, no measures have been taken to estimate the bias and toxicity embedded in the model. However, we are well aware that our models may be biased since the corpora have been collected using crawling techniques on multiple web sources. We intend to conduct research in these areas in the future, and if completed, this card will be updated. <strong>Authors</strong> The Text Mining Unit from Barcelona Supercomputing Center. <strong>Contact Information</strong> For further information, send an email to aina@bsc.es. <strong>Funding</strong> This work was funded by the Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya within the framework of Projecte AINA. <strong>Copyright</strong> Copyright (c) 2022 Text Mining Unit - Barcelona Supercomputing Center.
DOI: 10.5517/ccdc.csd.cc26117k
title: CCDC 2026787: Experimental Crystal Structure Determination

description: Related Article: Emilie Mathieu, Salauat R. Kiraev, Daniel Kovacs, Jordann A. L. Wells, Monika Tomar, Julien Andres, K. Eszter Borbas|2022|J.Am.Chem.Soc.|144|21056|doi:10.1021/jacs.2c05813
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.13140/rg.2.2.34341.17120
title: Certificate of Participation in the national webinar "Communal Society and Secular State in India: Debating the Indian Tradition", organised by the Gandhian School of Democracy and Socialism, ITM University Gwalior
DOI: 10.57777/kgm2022000186
title: 파005
DOI: 10.6084/m9.figshare.21617610
title: Data for Malesian fruit size and distributions

description: Minimum and maximum fruit size measurements for c. 3400 plant species and their distributions in Malesia.
DOI: 10.5281/zenodo.7354896
title: Gauge data used in 'An improved near-real-time precipitation retrieval for Brazil' by Pfreundschuh et al.

description: The rain gauge measurements were compiled by the National Institute of Meteorology of Brazil 40 and consist of hourly gauge measurements covering the time range May 2000 until May 2020. They are used as reference data 'An improved near-real-time precipitation retrieval for Brazil' by Pfreundschuh et al. and published here in order to ensure reproducibility.
DOI: 10.48510/fk2/afuhaz/lypjsy
title: report_LS24112022.Rmd

description: :unav
DOI: 10.48510/fk2/afuhaz/f4oak8
title: covid_tweets_24112022.Rmd

description: :unav
DOI: 10.48510/fk2/afuhaz/ywx8ez
title: covid_articles_24112022.Rmd

description: :unav
DOI: 10.48510/fk2/afuhaz
title: COVID-19 articles and social media posts

description: Data collected with software SentiOne and was used to analyse causality between two times series - articles and social media posts
DOI: 10.14457/nida.the.2020.37
title: The competing of institutional logics and practice variation on community based rehabilitation project in Thailand
DOI: 10.14457/nida.the.2021.33
title: Model of electronic waste management for eastern economic corridor
DOI: 10.14457/nida.the.2021.34
title: แนวทางการพัฒนาการจัดการคุณภาพการบริการที่พักขนาดเล็กในท่าอากาศยานดอนเมือง กรุงเทพมหานคร
DOI: 10.14457/nida.the.2011.38
title: การศึกษาความตื่นตัวด้านสิทธิชุมชนในการบริหารจัดการและปกป้องทรัพยากรธรรมชาติ วัฒนธรรม และวิถีชีวิตของคนลุ่มน้ำโขง จังหวัดอุบลราชธานี จากโครงการไฟฟ้าพลังน้ำเขื่อนบ้านกุ่ม
DOI: 10.14457/nida.the.2020.38
title: Online marketing strategies for community-based tourism in the Andaman cluster of Thailand
DOI: 10.14457/nida.the.2020.39
title: ทักษะพื้นฐานที่จำเป็น และระดับความเชี่ยวชาญสำหรับสายงานด้านระบบสารสนเทศและเทคโนโลยีสารสนเทศในกรุงเทพมหานครและปริมณฑล
DOI: 10.14457/nida.the.2020.40
title: Emotional tourist-experience design: a health-wellbeing for the active 50-plus
DOI: 10.14457/nida.the.2020.41
title: Dialectic of friendship: discourse analysis of communication and relationship between superman and batman in superhero comics
DOI: 10.14457/nida.the.2012.23
title: การศึกษาความขัดแย้งในการบริหารจัดการทรัพยากรน้ำ ศึกษากรณีโครงการแก้ไขปัญหาการขาดแคลนน้ำอุปโภคบริโภคเทศบาลนครราชสีมา
DOI: 10.14457/nida.the.2010.80
title: ปัจจัยความสำเร็จของธุรกิจหลังการฟื้นฟูทางการเงิน
DOI: 10.14457/nida.the.2020.42
title: Model of customer experience management in Thai full-service restaurant
DOI: 10.14457/nida.the.2021.35
title: การศึกษาแนวโน้มการเปลี่ยนแปลงการใช้ประโยชน์ที่ดินของลุ่มน้ำสาขาลำโดมใหญ่
DOI: 10.14457/nida.the.2020.43
title: Psycho-social factors as correlates of buddhist successful aging in attendees of elderly school projects
DOI: 10.14457/nida.the.2020.44
title: Scale economies and the potential gain from local amalgamation in Thailand
DOI: 10.14457/nida.the.2020.45
title: Stock return predictability in emerging markets
DOI: 10.14457/nida.the.2010.81
title: ความเป็นเลิศในการบริการของพนักงานต้อนรับบนเครื่องบิน บริษัทการบินไทย จำกัด (มหาชน)
DOI: 10.14457/nida.the.2010.82
title: การเปรียบเทียบวัฒนธรรมองค์การที่มีอิทธิพลต่อประสิทธิผลองค์การ : กรณีศึกษารัฐวิสาหกิจในประเทศไทย
DOI: 10.14457/nida.the.2010.83
title: การศึกษารูปแบบและแนวทางการพัฒนาการจัดการศึกษาสำหรับคนพิการในสถาบันอุดมศึกษาไทย
DOI: 10.14457/nida.the.2012.24
title: การศึกษาเพื่อวิเคราะห์ปัญหาการจัดเก็บภาษีโรงเรือนและที่ดินและภาษีบำรุงท้องที่ เปรียบเทียบกับร่างภาษีที่ดินและสิ่งปลูกสร้าง
DOI: 10.14457/nida.the.2012.25
title: คุณภาพชีวิตของเกษตรกรชาวสวนยางในยุคเศรษฐกิจถดถอย : ศึกษากรณีจังหวัดสุราษฎร์ธานี และนครศรีธรรมราช
DOI: 10.14457/nida.the.2011.39
title: ตัวแบบการพัฒนาการตลาดเขตปลอดอากร : กรณีศึกษาเขตปลอดอากรท่าอากาศยานสุวรรณภูมิ
DOI: 10.14457/nida.the.2012.26
title: การศึกษาการจัดการเรียนการสอนและประสิทธิผลของโรงเรียนทางเลือก
DOI: 10.14457/nida.the.2015.95
title: การศึกษาการค้าประเวณีแอบแฝงในประเทศไทย : ธุรกิจนวดพริตตี้สปา
DOI: 10.14457/nida.the.2016.157
title: ความหวาดกล้วอาชญากรรมทางเพศของหญิงที่โดยสารรถยนต์รับจ้างสาธารณะ (รถแท็กซี่) ในเขตกรุงเทพมหานคร
DOI: 10.14457/nida.the.2015.96
title: ทัศนะของผู้บริหารท้องถิ่นที่มีต่อร่างพระราชบัญญัติภาษีที่ดินและสิ่งปลูกสร้าง (ฉบับสำนักงานเศรษฐกิจการคลัง) กรณีศึกษาผู้บริหารท้องถิ่น (ฝ่ายการเมือง) ในระดับเทศบาล และองค์กรบริหารส่วนตำบล
DOI: 10.14457/nida.the.2015.97
title: บทบาทของผู้บริหารในฐานะผู้นำการเปลี่ยนแปลงต่อการเตรียมความพร้อมขององค์กรปกครองส่วนท้องถิ่นเพื่อก้าวสู่การเป็นประชาคมอาเซียน : กรณีศึกษาองค์การบริหารส่วนจังหวัดอุบลราชธานี
DOI: 10.14457/nida.the.2015.98
title: บทบาทนักบริหารทรัพยากรมนุษย์ที่มีผลต่อการเตรียมความพร้อมบุคลากรในองค์การภาครัฐและภาคเอกชนในประชาคมอาเซียน
DOI: 10.5281/zenodo.7355112
title: GWVD

description: GWVD
DOI: 10.5281/zenodo.7355111
title: GWVD

description: GWVD
DOI: 10.6084/m9.figshare.21617220
title: Evolution of pathogenicity-associated genes in Rhizoctonia solani AG1-IA by genome duplication and transposon-mediated gene function alterations
DOI: 10.25392/leicester.data.21602382
title: OM_2022_M(NPCH)_Research Support Data.zip

description: Support data for publication
DOI: 10.25392/leicester.data.21602382.v1
title: Synthesis and characterization of alkali metal iminophosphoranomethanide complexes

description: Research support data for paper titled "Synthesis and characterization of alkali metal iminophosphoranomethanide complexes" (currently under review). This contains full characterisation data fore 12 novel compounds including: 1) multinuclear NMR spectroscopy; 2) IR spectroscopy; 3) single crystal X-ray diffraction data; 4) elemental (CHN analysis); 5) computational studies (DFT).
DOI: 10.5281/zenodo.7348931
title: RECOMS data - Packages 1-3

description: Data package 1: Gent case study Data package 2: Woluwe case study Data package 3 : Practitioners workshops
DOI: 10.5281/zenodo.7348930
title: RECOMS data - Packages 1-3

description: Data package 1: Gent case study Data package 2: Woluwe case study Data package 3 : Practitioners workshops
DOI: 10.6084/m9.figshare.21617706
title: S2: Young death assemblages with limited time-averaging in rocky and Posidonia oceanica habitats in the Mediterranean Sea

description: Shell radiocarbon ages
DOI: 10.6084/m9.figshare.21617706.v1
title: S2: Young death assemblages with limited time-averaging in rocky and Posidonia oceanica habitats in the Mediterranean Sea

description: Shell radiocarbon ages
DOI: 10.5281/zenodo.7351951
title: Weekly CoMix contact matrices for UKHSA COVID-19 dashboard and ONS COVID-19 infection survey age-groups

description: Weekly contact matrices calculated from data collected as part of the UK arm of the CoMix survey. All contact matrices were calculated over two survey rounds (SR) of data to account for alternating panels (the indicated SR and the previous SR). Full details of composition can be found in Munday et. al. [1]. Contact matrices are provided for age-groups consistent with publicly available case data from the UKHSA COVID-19 dashboard <strong> (0-9, 10-19, 20-29, 30-39, 40-49, 50-59, 60-69, 70+) </strong>and publicly available aggregates of infection and antibody prevalence from the ONS COVID-19 infection survey <strong>(2-10, 11-15, 16-24, 25-34, 35-49, 49-69 and 70+)</strong>. The data is provided in qs files as 1000 bootstrapped samples of each contact matrix for weekly 'survey rounds' between 19 and 94 (see directory "survey_round_dates.csv"). The files that begin with UKHSA contain the contact matrices for the age stratification of the UKHSA COVID-19 dashboard case data. The files that begin with ONS contain the contact matrices for the age stratification of the ONS COVID-19 infection survey. Ethics: The study and method of informed consent were approved by the ethics committee of the London School of Hygiene & Tropical Medicine (LSHTM; reference number 21795). 1. Munday, J.D., Jarvis, C.I., Gimma, A. <em>et al.</em> Estimating the impact of reopening schools on the reproduction number of SARS-CoV-2 in England, using weekly contact survey data. <em>BMC Med</em> <strong>19</strong>, 233 (2021). https://doi.org/10.1186/s12916-021-02107-0
DOI: 10.5281/zenodo.7351950
title: Weekly CoMix contact matrices for UKHSA COVID-19 dashboard and ONS COVID-19 infection survey age-groups

description: Weekly contact matrices calculated from data collected as part of the UK arm of the CoMix survey. All contact matrices were calculated over two survey rounds (SR) of data to account for alternating panels (the indicated SR and the previous SR). Full details of composition can be found in Munday et. al. [1]. Contact matrices are provided for age-groups consistent with publicly available case data from the UKHSA COVID-19 dashboard <strong> (0-9, 10-19, 20-29, 30-39, 40-49, 50-59, 60-69, 70+) </strong>and publicly available aggregates of infection and antibody prevalence from the ONS COVID-19 infection survey <strong>(2-10, 11-15, 16-24, 25-34, 35-49, 49-69 and 70+)</strong>. The data is provided in qs files as 1000 bootstrapped samples of each contact matrix for weekly 'survey rounds' between 19 and 94 (see directory "survey_round_dates.csv"). The files that begin with UKHSA contain the contact matrices for the age stratification of the UKHSA COVID-19 dashboard case data. The files that begin with ONS contain the contact matrices for the age stratification of the ONS COVID-19 infection survey. Ethics: The study and method of informed consent were approved by the ethics committee of the London School of Hygiene & Tropical Medicine (LSHTM; reference number 21795). 1. Munday, J.D., Jarvis, C.I., Gimma, A. <em>et al.</em> Estimating the impact of reopening schools on the reproduction number of SARS-CoV-2 in England, using weekly contact survey data. <em>BMC Med</em> <strong>19</strong>, 233 (2021). https://doi.org/10.1186/s12916-021-02107-0
DOI: 10.5517/ccdc.csd.cc28zjmf
title: CCDC 2114715: Experimental Crystal Structure Determination

description: Related Article: Isabel Ortega-Lepe, Práxedes Sánchez, Laura L. Santos, Patricia Lara, Nuria Rendón, Joaquín López-Serrano, Verónica Salazar-Pereda, Eleuterio Álvarez, Margarita Paneque, Andrés Suárez|2022|Inorg.Chem.|61|18590|doi:10.1021/acs.inorgchem.2c02963
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29hb5b
title: CCDC 2129891: Experimental Crystal Structure Determination

description: Related Article: Xiang-Jing Gao, Ting-Ting Wu, Fa-Yuan Ge, Ming-Yuan Lei, He-Gen Zheng|2022|Inorg.Chem.|61|18335|doi:10.1021/acs.inorgchem.2c02745
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29hb7d
title: CCDC 2129893: Experimental Crystal Structure Determination

description: Related Article: Xiang-Jing Gao, Ting-Ting Wu, Fa-Yuan Ge, Ming-Yuan Lei, He-Gen Zheng|2022|Inorg.Chem.|61|18335|doi:10.1021/acs.inorgchem.2c02745
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29hb8f
title: CCDC 2129894: Experimental Crystal Structure Determination

description: Related Article: Xiang-Jing Gao, Ting-Ting Wu, Fa-Yuan Ge, Ming-Yuan Lei, He-Gen Zheng|2022|Inorg.Chem.|61|18335|doi:10.1021/acs.inorgchem.2c02745
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.