cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p944w2wt
title: Spatial Hydro-Ecological Decision System Summarized Designing Sustainable Landscapes and National Land Cover Database 2001 - 2016 Data for SHEDS Region 2

description: This data release is a summarization of the US Geological Survey National Land Cover Database (NLCD) 2001, 2004, 2006, 2008, 2011, 2013 and 2016 Land Cover datasets and the Landscape Ecology Lab at the University of Massachusetts Designing Sustainable Landscapes (DSL) datasets within the USGS Spatial Hydro-Ecological Decision System (SHEDS) framework. The output is a series of tables consisting of the summarized values of continuous variables and discrete variables, respectively, for each local SHEDS catchment within the SHEDS Hydro-Region 2 for both datasets. An additional output are tables of the continuous and discrete variables individually processed through an upstream accumulation method for each catchment in SHEDS Region 2. This upstream accumulation method takes the local and upstream catchment values for a particular catchment, individually weighs them by the ratio of their respective catchment area to the total local and upstream catchment area, then sums all weighted values. The continuous variable tables for the local catchment summarizations of the DSL data contain the mean of each variable within each SHEDS catchment. The NLCD data did not contain any continuous variables. The discrete variable tables for the local catchment summarizations of the NLCD and DSL data contain the total coverage of each variable in square meters within each local SHEDS catchment. The upstream accumulated tables for the continuous and discrete variables for both NLCD and DSL data are their respective local summarizations processed through the upstream accumulated method detailed above. All these tables contain the unique identifier (FeatureID) of the SHEDS catchments acting as the zone of summarization, and the summarized variables for the catchments. Additionally, the percent of each catchment that contained data for each variable being summarized and the area of that SHEDS catchment in square kilometers was included for the local catchment summarization tables. These were not included for the upstream accumulation summarization tables as these values were not calculated within the SHEDS framework.
DOI: 10.17632/hfmpfw566j.1
title: RT-PCR RESULTS

description: Real time quantification data of caspase 3 and 8 expression from SCC-25 cell line treated with Commiphora Myrrha for 24 hours. Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) was used as the endogenous expression standard. The fold change in expression of mRNAs was determined according to the comparative cycle threshold method (2−ΔΔCT).
DOI: 10.25345/c5t43j656
title: MassIVE MSV000089380 - TCM_JYH_50% EtOH extract_Negative ion data
title: LC-Q-TOF data of 50% EtOH extract of JYH (Negative ion data)
DOI: 10.17632/w43kw8nh7g.1
title: Environmental impact of shell materials in a retail building

description: This study set out to explore the impacts of shell materials in a retail building in Algarve, Portugal. This dataset consists of: i) bills of quantities for all building services, winning contractor’s bid, and energy bills of the store; ii) the worksheet where the weights of building materials were inserted to calculate the total mass of building elements downloaded from LEVEL(S) iii) the weights of building materials estimated based on product technical datasheets and catalogues; iv) the calculation of impacts of building in SimpaPro software, based on Ecoinvent database; and v) the sustainability reports of retailers mentioned in the study.
DOI: 10.17632/s3c28xj492.1
title: JDS 21928 supplemental data 

description: Methods and DESeq2 comparison results of RNAseq data of bovine granulosa cells collected from preovulatory follicles at week 8 postpartum. The comparisons are performed to study the association between the blood metabolic and antioxidant profile of the cows at week 2 and week 8 postpartum and the transcriptomic profile of the follicular cells.
DOI: 10.17632/jcpp3ksm5m.1
title: NR0B2 regulation during Primary Sclerosing Cholangitis defines a metabolic and pre-malignant reprogramming of Cholangiocyte

description: Supplemental tables associated to manuscript:
Supplemental Table 1. Text mining of the 525 ranked genes found in PUBMED with symptom keywords: this Table describes the 525 ranked genes obtained by text mining with the ‘Génie’ algorithm against the three MESH terms: biliary inflammation, biliary fibrosis and biliary stasis. The respective ranks, p-values and PMID identifiers collected for each gene and each MESH term are presented.
Supplemental Table 2. Symptom-related genes found to be differentially expressed in livers from primary sclerosing cholangitis patients: Differentially expressed gene analysis results (logarithmic Fold Change, Average Expression and Adjusted p-values) are presented with respective machine learning predictive scores for supervised sample categories from the GSE61256 dataset (PSC versus other liver samples).
Supplemental Table 3. Pavlidis Template Matching for FXR dependency in the liver transcriptome. Results of Pavlidis template analysis used to describe the FXR regulation dependency of PSC genes in liver samples from the GSE54557 dataset. For each gene, the R-Pearson correlation coefficient and its respective p-value are presented in this Table. 
Supplemental Table 4. Best one hundred genes found to be significant in the pseudotime trajectory of Abcb4-/- cholangiocytes. Best one hundred ranked genes found to be significant on the pseudotime cell trajectory of Abcb4-/- cholangiocytes based on the alternative expression of Nr0b2 and Sox9 in GSE168758.
DOI: 10.17632/6pgdf3zrp3.1
title: Systematic generation of biophysically detailed models with generalization capability for non-spiking neurons

description: Electrophysiology recording data for "Systematic generation of biophysically detailed models with generalization capability for non-spiking neurons"
DOI: 10.17632/c3pgj4brhh.1
title: Darmstadt Engine Tables

description: 1) This data can be used to predict the number of days needed to run the RANS simulation using two different turbulence model, viz. Re-Normalized Group (RNG), K-Epsilon (k-Epsilon) and K-Omega (k-omega) turbulence models
2) This dataset will be useful for academic researchers attempting to undertake computational fluid dynamics studies in diesel engines.
3) This data is more valuable because in-cylinder air motion experimental setup is highly expensive to purchase. Hence, this data can be used as an initial and boundary conditions of CFD simulations.
DOI: 10.25345/c5pc2td12
title: MassIVE MSV000089381 - TCM_KS_50% EtOH extract_Positive ion data
title: LC-Q-TOF data of 50% EtOH extract of KS (Positive ion data)
DOI: 10.17632/zk9dg7gfk3.1
title: Datainbrief-03.05.2022-all results

description: The excel sheets are results of experimental tests conducted by the author. Water permeability and chloride ion penetrability tests were conducted after 5 curing times; namely 2, 7, 28, 90 and 180 days. Concrete mixtures were prepared with six replacement levels of NNP; namely 0%, 1%, 2%, 3%, 4% and 5%, four water/binder ratios, namely 0.4, 0.5, 0.6 and 0.7. NP was ground to 2 different sizes; i.e. 100 & 500 nm.
DOI: 10.6073/pasta/2d233f4ba9af3a13b564a1c6364704c7
title: Belowground responses to altered precipitation regimes in two semi-arid grasslands

description: Predicted climate change extremes, such as severe and prolonged drought, may profoundly impact biogeochemical processes like carbon and nitrogen cycling in water-limited ecosystems. To increase our understanding of how extreme climate events impact belowground ecosystem processes, we investigated the effects of five years of severe growing season drought and two-month delay in monsoon precipitation on belowground productivity and biogeochemical processes in two semi-arid grasslands. This experiment takes place during the fifth year of the Extreme Drought in Grassland Experiment (EDGE) at the Sevilleta National Wildlife Refuge (SNWR), a Long-Term Ecological Research in central New Mexico, USA. The two grassland sites a Chihuahuan Desert grassland dominated by Bouteloua eriopoda and Great Plains grassland dominated by B. gracilis are ~5km apart in the SWNR. The EDGE platform was established in the spring of 2012 (pre-treatment). Each site contains three treatments (ten replicates): ambient rainfall, extreme growing season drought, and delayed monsoon. The extreme drought treatment reduces growing season rainfall (April through September) each year by 66%, which equates to a 50% reduction of annual precipitation while maintaining natural precipitation patterns. There are 10 replicates per treatment within each site. All plots are 3 x 4 m in size and are paired spatially into blocks with treatments assigned randomly within a block. We measured an array of belowground and biogeochemical variables. Each variable was measured either once, twice, or three times (specific information on sampling scheme for each measured variable in methods section). Belowground net primary productivity, standing crop root biomass, total organic carbon, and total nitrogen were measured once. Extractable organic carbon, extractable total nitrogen, microbial biomass carbon, microbial biomass nitrogen and extracellular enzymes were measured twice. Available soil nitrate, available soil ammonium, and available soil phosphate were measured three times.
DOI: 10.25345/c5jm23k7p
title: MassIVE MSV000089382 - TCM_KS_50% EtOH extract_Negative ion data
title: LC-Q-TOF data of 50% EtOH extract of KS (Negative ion data)
DOI: 10.17632/rptzp8pxx4.1
title: Database of growth and survival of black scallop (Mimachlamys varia (Linnaeus, 1758)) in the Basque coast

description: This dataset presents the growth performance and survival of black scallops (Mimachlamys varia (Linnaeus, 1758)) reared at the two experimental sites for aquaculture studies in the Basque Country. As far as we know, this dataset is the result of the first trial of pectinids culture in the SE Bay of Biscay in offshore conditions. Two different growing systems were tested (cages and pots) at offshore waters (longline) and sheltered waters (raft). The culture lasted 447 days. The feasibility of cultivating black scallops was determined by the measurement of growth performance (shell height, wet body and tissue weight, Table “Growth”) and survival (Table “Survival”), together with the measurement of environmental variables (Table “Environmental variables”).
This work was supported by the Department of Economic Development, Sustainability and Environment, and Fisheries and Aquaculture Directorate of the Basque Government through ZAMBURI Project [European Maritime and Fisheries Funds 00008-INA2019-33].
DOI: 10.6073/pasta/2d7d5a3092ad6b558416dbcdaf2436b3
title: VCR Fowling Point Salt Marsh Flux Tower, 2020

description: This dataset contains measurements of CO2 and H2O mixing ratios and fluxes, sensible and latent heat fluxes, temperature, pressure and wind speed made every 1/10th of a second and averaged over 30 minutes. Note that the processing of data to calculate fluxes and mixing ratios is ongoing. The research was conducted at the Virginia Coastal Reserve Long Term Ecological Research (VCR LTER) site on the Eastern Shore of Virginia, USA. The flux tower site (37-deg 24'39.85"N, 75-deg 50'0.53"W) a lagoonal salt marsh which is located near the area of Fowling point. The site is located at about 2.2 kilometers away from the mainland and 10.7 kilometers away from Hog Island, the nearest barrier island. The flux tower is situated at about 80 meters away from the creek edge, on the lagoonal salt marsh.
DOI: 10.34740/kaggle/dsv/3571002
title: WallStreetBets 2022
DOI: 10.17632/w725g5s9b8.1
title: LINF_270005900

description: protein kinase
Leishmania infantum (strain JPCM5)
DOI: 10.17632/whf24mfgtw.1
title: LINF_270005800

description: cytochrome p450-like protein | CYP5122A1
Leishmania infantum (strain JPCM5)
DOI: 10.17632/3wf6gf85yg.1
title: Does Biopsy Result Predict Endoscopic Third Ventriculostomy Success? An Analysis of Normal Pressure Hydrocephalus Patients

description: ETV patients with NPH
DOI: 10.17632/5nkytxsk2t.1
title: effect-heat-spike-esfenvalerate-genotype

description: Data used in 'How a heat spike shapes pesticide toxicity strongly differs among genotypes in the water flea Daphnia magna' in ... (Authors: Vienna Delnat, Julie Verheyen, Ine Van Hileghem and Robby Stoks, DOI: ...).
Abbreviations: IA model - independent action model, MDR – model deviation ratio
DOI: 10.5281/zenodo.6514608
title: ESBMC-Jimple ISSTA'22 Benchmarks

description: Accompanying files for the ISSTA'22 tool demonstration for the ESBMC-Jimple. The zip contains all benchmarks that were used for the experiments.
DOI: 10.17632/zy46n7xd5p.1
title: Risk spillover of banking across regions: Evidence from the Belt and Road countries

description: Data, code and a detailed guide for risk spillover of banking across the Belt and Road countries
DOI: 10.17632/9t86hd78sj.1
title: Next generation sequencing analysis of gastric cancer 

description: Gastric carcinoma tissues were obtained from 31 patients treated by surgical resection. The patients were subdivided into two groups according to the presence of peritoneal involvement, either macroscopically (P+) or microscopically (Cy+) at the time of the surgery: 19 patients had no peritoneal involvement at the time of diagnosis (P0 and Cy0) while 12 had peritoneal involvement, (P+ or Cy+). High-quality RNA was extracted from tumor gastric mucosa and healthy mucosa. Sequencing was performed on an Ion S5™ Sequencer with Torrent Suite™ Software v6 (Thermo Fisher Scientific). The analyses were performed with a range of fold <−2 and >+2 and a p value < 0.05, using Transcriptome Analysis Console Software (version 4.0.2), certified for AmpliSeq analysis.
DOI: 10.5281/zenodo.6514235
title: ESBMC-Jimple ISSTA'22 Benchmarks

description: Accompanying files for the ISSTA'22 tool demonstration for the ESBMC-Jimple. The zip contains all benchmarks that were used for the experiments.
DOI: 10.6084/m9.figshare.16923289
title: Prediction of upcoming speech under fluent and disfluent conditions: eye tracking evidence from immersive virtual reality

description: Traditional experiments indicate that prediction is important for efficient speech processing. In three virtual reality visual world paradigm experiments, we tested whether such findings hold in naturalistic settings (Experiment 1) and provided novel insights into whether disfluencies in speech (repairs/hesitations) inform one’s predictions in rich environments (Experiments 2–3). Experiment 1 supports that listeners predict upcoming speech in naturalistic environments, with higher proportions of anticipatory target fixations in predictable compared to unpredictable trials. In Experiments 2–3, disfluencies reduced anticipatory fixations towards predicted referents, compared to <i>conjunction</i> (Experiment 2) and <i>fluent</i> (Experiment 3) sentences. Unexpectedly, Experiment 2 provided no evidence that participants made new predictions from a repaired verb. Experiment 3 provided novel findings that fixations towards the speaker increase upon hearing a <i>hesitation</i>, supporting current theories of how hesitations influence sentence processing. Together, these findings unpack listeners’ use of visual (objects/speaker) and auditory (speech/disfluencies) information when predicting upcoming words.
DOI: 10.15151/esrf-es-806401450
title: Structural Biology at EMBL Grenoble, IBS-CIBB and IAB

description: The proposals covers a broad range of structural biology projects related to pathogen biology, host-pathogen interactions, RNA biology and structure-based drug development that are carried out by PIs at EMBL Grenoble, IBS-CIBB and IAB. The proposers have long-standing experience in the use, as well as the development of beam lines for macromolecular crystallography and have participated in successive BAG applications over the years, mostly at the ESRF but also at other synchrotrons (e.g. Soleil, Petra III, Diamond, SLS).
DOI: 10.3886/e145421v1-117040
title: Data and Code for: Product Innovation, Product Diversification, and Firm Growth: Evidence from Japan’s Early Industrialization

description: We explore how firms grow by adding products. We leverage detailed data from Japan’s cotton spinning industry at the turn of the last century to do so. This setting allows us to fully characterize the type of differentiation (vertical or horizontal) of new product introductions as well as whether the product is within or outside of the firm’s prior technological capabilities. We find that trying to introduce innovative products beyond the firm’s previous technologically feasible set, even if such trials fail, is a key to firm growth. Indeed, it mostly facilitates growth through the firm’s later success in horizontal product diversification. In long-term outcomes, the right tail of the firm size distribution becomes dominated by firms first moved into technologically challenging products and then later applied their newly acquired technical competence to horizontal expansion of their product portfolios. Two mechanisms through which this knowledge transfer occurs are greater production system flexibility and higher product appeal to downstream buyers.
description: Cotton spinning industry firms operating in Japan between 1893-1914.
DOI: 10.25345/c5dz0355s
title: MassIVE MSV000089383 - TCM_PGY_50% EtOH extract_Positive ion data
title: LC-Q-TOF data of 50% EtOH extract of PGY (Positive ion data)
DOI: 10.5517/ccdc.csd.cc28d1g6
title: CCDC 2096947: Experimental Crystal Structure Determination

description: Related Article: Xianqiang Huang, Yanan Cui, Jinhong Zhou, Yalin Zhang, Guodong Shen, Qingxia Yao, Jikun Li, Zechun Xue, Guoping Yang|2022|Chin.Chem.Lett.|33|2605|doi:10.1016/j.cclet.2021.09.042
DOI: 10.5517/ccdc.csd.cc28d1h7
title: CCDC 2096948: Experimental Crystal Structure Determination

description: Related Article: Xianqiang Huang, Yanan Cui, Jinhong Zhou, Yalin Zhang, Guodong Shen, Qingxia Yao, Jikun Li, Zechun Xue, Guoping Yang|2022|Chin.Chem.Lett.|33|2605|doi:10.1016/j.cclet.2021.09.042
DOI: 10.5517/ccdc.csd.cc28d1j8
title: CCDC 2096949: Experimental Crystal Structure Determination

description: Related Article: Xianqiang Huang, Yanan Cui, Jinhong Zhou, Yalin Zhang, Guodong Shen, Qingxia Yao, Jikun Li, Zechun Xue, Guoping Yang|2022|Chin.Chem.Lett.|33|2605|doi:10.1016/j.cclet.2021.09.042
DOI: 10.5517/ccdc.csd.cc2938j7
title: CCDC 2118308: Experimental Crystal Structure Determination

description: Related Article: Yang Tao, Xiaoting Liu, Yunping Zhoujin, Panpan Zhou, Sean Parkin, Tonglei Li, Ju Guo, Faquan Yu, Sihui Long|2022|CrystEngComm|24|3217|doi:10.1039/D2CE00126H
DOI: 10.5517/ccdc.csd.cc29zfg6
title: CCDC 2144408: Experimental Crystal Structure Determination

description: Related Article: Shuping Duan, Ya Xu, Jian Zhou, Zunhong Xiao, Hua-Hong Zou|2022|Dalton Trans.|51|6876|doi:10.1039/D2DT00251E
DOI: 10.5517/ccdc.csd.cc2bht5v
title: CCDC 2160147: Experimental Crystal Structure Determination

description: Related Article: Yong-Hui Yu, Sheng-Li Huang, Guo-Yu Yang|2022|CrystEngComm|24|3160|doi:10.1039/D2CE00397J
DOI: 10.5517/ccdc.csd.cc2bhtnb
title: CCDC 2160162: Experimental Crystal Structure Determination

description: Related Article: Yong-Hui Yu, Sheng-Li Huang, Guo-Yu Yang|2022|CrystEngComm|24|3160|doi:10.1039/D2CE00397J
DOI: 10.5517/ccdc.csd.cc27j0vn
title: CCDC 2070981: Experimental Crystal Structure Determination

description: Related Article: Pranjalee Yadav, Sarita Gond, Anusmita Shekher, Subash Chandra Gupta, Udai P. Singh, Vinod P. Singh|2022|Dalton Trans.|51|6927|doi:10.1039/D2DT00286H
DOI: 10.5517/ccdc.csd.cc287mdk
title: CCDC 2092698: Experimental Crystal Structure Determination

description: Related Article: Yu-Kong Li, Ting-Ting Ying, Hao Zhang, Yu-Hui Tan, Yun-Zhi Tang, Fang-Xin Wang, Ming-Yang Wan|2022|Dalton Trans.|51|6860|doi:10.1039/D2DT00592A
DOI: 10.5517/ccdc.csd.cc2bj5y0
title: CCDC 2160512: Experimental Crystal Structure Determination

description: Related Article: Yu-Kong Li, Ting-Ting Ying, Hao Zhang, Yu-Hui Tan, Yun-Zhi Tang, Fang-Xin Wang, Ming-Yang Wan|2022|Dalton Trans.|51|6860|doi:10.1039/D2DT00592A
DOI: 10.5517/ccdc.csd.cc287mfl
title: CCDC 2092699: Experimental Crystal Structure Determination

description: Related Article: Yu-Kong Li, Ting-Ting Ying, Hao Zhang, Yu-Hui Tan, Yun-Zhi Tang, Fang-Xin Wang, Ming-Yang Wan|2022|Dalton Trans.|51|6860|doi:10.1039/D2DT00592A
DOI: 10.5517/ccdc.csd.cc287mhn
title: CCDC 2092701: Experimental Crystal Structure Determination

description: Related Article: Yu-Kong Li, Ting-Ting Ying, Hao Zhang, Yu-Hui Tan, Yun-Zhi Tang, Fang-Xin Wang, Ming-Yang Wan|2022|Dalton Trans.|51|6860|doi:10.1039/D2DT00592A
DOI: 10.5517/ccdc.csd.cc27hvn8
title: CCDC 2070820: Experimental Crystal Structure Determination

description: Related Article: Han Yan, Chu-Meng Wang, Peng Chen, Yi-Quan Zhang, Wen-Bin Sun|2022|Dalton Trans.|51|6918|doi:10.1039/D2DT00001F
DOI: 10.5517/ccdc.csd.cc27hvrc
title: CCDC 2070823: Experimental Crystal Structure Determination

description: Related Article: Han Yan, Chu-Meng Wang, Peng Chen, Yi-Quan Zhang, Wen-Bin Sun|2022|Dalton Trans.|51|6918|doi:10.1039/D2DT00001F
DOI: 10.5517/ccdc.csd.cc27hvsd
title: CCDC 2070824: Experimental Crystal Structure Determination

description: Related Article: Han Yan, Chu-Meng Wang, Peng Chen, Yi-Quan Zhang, Wen-Bin Sun|2022|Dalton Trans.|51|6918|doi:10.1039/D2DT00001F
DOI: 10.5517/ccdc.csd.cc27hvtf
title: CCDC 2070825: Experimental Crystal Structure Determination

description: Related Article: Han Yan, Chu-Meng Wang, Peng Chen, Yi-Quan Zhang, Wen-Bin Sun|2022|Dalton Trans.|51|6918|doi:10.1039/D2DT00001F
DOI: 10.5517/ccdc.csd.cc27hvm7
title: CCDC 2070819: Experimental Crystal Structure Determination

description: Related Article: Han Yan, Chu-Meng Wang, Peng Chen, Yi-Quan Zhang, Wen-Bin Sun|2022|Dalton Trans.|51|6918|doi:10.1039/D2DT00001F
DOI: 10.5517/ccdc.csd.cc29y4cs
title: CCDC 2143165: Experimental Crystal Structure Determination

description: Related Article: Xiao-Lin Liu, Yi Li, Qing-Dou Xu, Zi-Qin Wei, Xin-Tao Wu, Tian-Lu Sheng|2022|New J.Chem.|46|7922|doi:10.1039/D2NJ00311B
DOI: 10.5517/ccdc.csd.cc29y4dt
title: CCDC 2143166: Experimental Crystal Structure Determination

description: Related Article: Xiao-Lin Liu, Yi Li, Qing-Dou Xu, Zi-Qin Wei, Xin-Tao Wu, Tian-Lu Sheng|2022|New J.Chem.|46|7922|doi:10.1039/D2NJ00311B
DOI: 10.5517/ccdc.csd.cc29y4fv
title: CCDC 2143167: Experimental Crystal Structure Determination

description: Related Article: Xiao-Lin Liu, Yi Li, Qing-Dou Xu, Zi-Qin Wei, Xin-Tao Wu, Tian-Lu Sheng|2022|New J.Chem.|46|7922|doi:10.1039/D2NJ00311B
DOI: 10.5517/ccdc.csd.cc2b6yh0
title: CCDC 2151632: Experimental Crystal Structure Determination

description: Related Article: Pengfei Tan, Yimou Yang, Wei Lv, Rong Jing, Huihui Cui, Shao-Jun Zheng, Lei Chen, Aihua Yuan, Xue-Tai Chen, Yuyuan Zhao|2022|New J.Chem.|46|7892|doi:10.1039/D2NJ00784C
DOI: 10.5517/ccdc.csd.cc29b965
title: CCDC 2125056: Experimental Crystal Structure Determination

description: Related Article: Sipra Sucharita Sahoo, Sameeta Sahoo, Pradeepta K. Panda|2022|Dalton Trans.|51|6526|doi:10.1039/D2DT00698G
DOI: 10.5517/ccdc.csd.cc2934wg
title: CCDC 2118195: Experimental Crystal Structure Determination

description: Related Article: Tomoyuki Takeyama, Satoshi Iwatsuki, Satoru Tsushima, Koichiro Takao|2022|Dalton Trans.|51|6576|doi:10.1039/D2DT00325B
DOI: 10.5517/ccdc.csd.cc2934xh
title: CCDC 2118196: Experimental Crystal Structure Determination

description: Related Article: Tomoyuki Takeyama, Satoshi Iwatsuki, Satoru Tsushima, Koichiro Takao|2022|Dalton Trans.|51|6576|doi:10.1039/D2DT00325B
DOI: 10.5517/ccdc.csd.cc27hvp9
title: CCDC 2070821: Experimental Crystal Structure Determination

description: Related Article: Han Yan, Chu-Meng Wang, Peng Chen, Yi-Quan Zhang, Wen-Bin Sun|2022|Dalton Trans.|51|6918|doi:10.1039/D2DT00001F
DOI: 10.6084/m9.figshare.19699813.v3
title: Untitled Item

description: Oman Figure