cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14121864.v1
title: Additional file 6 of Floral infrared emissivity estimates using simple tools

description: Additional file 6. Thermocouple estimation extracted data. The full data extracted from thermal images and the emissivity estimates from the thermocouple protocol. Column headings are as follows: ‘measurement’ a name identifier for each flower measurement. ‘Individual within species’ the numerical identifier of individual flowers within each species numbers are shared across species, this is used for flower identification not for analysis. ‘Individual’ numerical identifier of flower individual across all species. ‘Species’ the flower species. ‘measurement location’ the measurement location, here reproductive structures are indicated as ‘A: repro struc’, petal base as ‘B: petal base’, petal edge as ‘C: petal edge’. ‘temp on thermocouple = Tobj’ the thermocouple reading of flower temperature in degrees Celsius at the measurement indicated by the previous columns. ‘Tobj (k)’ the thermocouple reading of flower temperature in degrees Kelvin at the measurement indicated by the previous columns. ‘Tref’ the reflected temperature at the measurement indicated by previous columns. ‘at e = 1 d = 0, Temp uncorrected (for W)’ the apparent temperature at measurement indicated by the previous columns. ‘at e = 0.98 d = 0.5’ the camera’s temperature measurement, in kelvin, when emissivity was 0.98 at the measurement indicated by the previous columns. ‘DeltaTobj-T0.98’ the ‘Tobj (k)’ measurement minus that of the thermal camera when emissivity was 0.98 (‘at e = 0.98 d = 0.5’). ‘Ecal’ and ‘Esolve’ the calculated and Solver emissivity estimates respectively at the measurement indicated by the previous columns. ‘DeltaE’ the difference between calculated and Solver emissivity estimates at measurement indicated by the previous columns.
DOI: 10.6084/m9.figshare.14121867
title: Additional file 7 of Floral infrared emissivity estimates using simple tools

description: Additional file 7. Water bath estimation extracted data. The full data extracted from thermal images and the emissivity estimates from the water bath protocol. Column headings are as follows: ‘measurement’ a name identifier for each flower measurement. ‘individual within species’ the numerical identifier of individual flowers within each species numbers are shared across species, this is used for flower identification not for analysis. ‘Individual’ numerical identifier of flower individual across all species. ‘species’ the flower species. ‘measurement location’ the measurement location, here reproductive structures are indicated as ‘A: repro struc’, petal base as ‘B: petal base’, petal edge as ‘C: petal edge’. ‘Set temperature of waterbath’ the temperature to which the water bath was set to, written as ‘[temp]C’ to insure it is read as a categorical factor by R. ‘thermometer temp of waterbath’ the temperature of the water bath measured by the thermometer in degrees Celsius. ‘Tref’ the reflected temperature at the measurement indicated by previous columns. ‘IRT temp of waterbath e = 0.98, d = 0.5, rest asp per image’ the water temperature proximal to the flower as measured by the thermal camera, used to obtain Tobj. ‘at e = 1 d = 0, Temp uncorrected (for W)’ the apparent temperature at measurement indicated by the previous columns. ‘at e = 0.98 d = 0.5’ the camera’s temperature measurement, in kelvin, when emissivity was 0.98 at the measurement indicated by the previous columns. ‘DeltaTobj-T0.98’ the ‘Tobj (k)’ measurement minus that of the thermal camera when emissivity was 0.98 (‘at e = 0.98 d = 0.5’). ‘Ecal’ and ‘Esolve’ the calculated and Solver emissivity estimates respectively at the measurement indicated by the previous columns. ‘DeltaE’ the difference between calculated and Solver emissivity estimates at measurement indicated by the previous columns.
DOI: 10.6084/m9.figshare.14121867.v1
title: Additional file 7 of Floral infrared emissivity estimates using simple tools

description: Additional file 7. Water bath estimation extracted data. The full data extracted from thermal images and the emissivity estimates from the water bath protocol. Column headings are as follows: ‘measurement’ a name identifier for each flower measurement. ‘individual within species’ the numerical identifier of individual flowers within each species numbers are shared across species, this is used for flower identification not for analysis. ‘Individual’ numerical identifier of flower individual across all species. ‘species’ the flower species. ‘measurement location’ the measurement location, here reproductive structures are indicated as ‘A: repro struc’, petal base as ‘B: petal base’, petal edge as ‘C: petal edge’. ‘Set temperature of waterbath’ the temperature to which the water bath was set to, written as ‘[temp]C’ to insure it is read as a categorical factor by R. ‘thermometer temp of waterbath’ the temperature of the water bath measured by the thermometer in degrees Celsius. ‘Tref’ the reflected temperature at the measurement indicated by previous columns. ‘IRT temp of waterbath e = 0.98, d = 0.5, rest asp per image’ the water temperature proximal to the flower as measured by the thermal camera, used to obtain Tobj. ‘at e = 1 d = 0, Temp uncorrected (for W)’ the apparent temperature at measurement indicated by the previous columns. ‘at e = 0.98 d = 0.5’ the camera’s temperature measurement, in kelvin, when emissivity was 0.98 at the measurement indicated by the previous columns. ‘DeltaTobj-T0.98’ the ‘Tobj (k)’ measurement minus that of the thermal camera when emissivity was 0.98 (‘at e = 0.98 d = 0.5’). ‘Ecal’ and ‘Esolve’ the calculated and Solver emissivity estimates respectively at the measurement indicated by the previous columns. ‘DeltaE’ the difference between calculated and Solver emissivity estimates at measurement indicated by the previous columns.
DOI: 10.6084/m9.figshare.14122008
title: Additional file 8 of Floral infrared emissivity estimates using simple tools

description: Additional file 8. Thermocouple estimation IR images. File containing the thermal imaging (and paired photographs) of all images used in data collection for the thermocouple protocol. Images are sorted by species and then by individual flower, flower file names are formatted as [flower identifier used for sorting e.g. ‘D’][number].
DOI: 10.6084/m9.figshare.14122011
title: Additional file 9 of Floral infrared emissivity estimates using simple tools

description: Additional file 9. Water bath estimation IR images. File containing the thermal imaging (and paired photographs) of all images used in data collection for the water bath protocol. Images are sorted by species, set temperature of the water bath and then by individual flower, flower file names are formatted as [flower identifier used for sorting e.g. ‘D’][number]. Additionally, where available, photos are provided to aid identification of individual flowers.
DOI: 10.6084/m9.figshare.14122008.v1
title: Additional file 8 of Floral infrared emissivity estimates using simple tools

description: Additional file 8. Thermocouple estimation IR images. File containing the thermal imaging (and paired photographs) of all images used in data collection for the thermocouple protocol. Images are sorted by species and then by individual flower, flower file names are formatted as [flower identifier used for sorting e.g. ‘D’][number].
DOI: 10.6084/m9.figshare.14121855.v1
title: Additional file 3 of Floral infrared emissivity estimates using simple tools

description: Additional file 3. Solver thermocouple estimate summary. Full summary values of the Solver estimates collected via the thermocouple protocol. Column headings are as follows: ‘species’ the species of flower; ‘measurement.location’ the measurement location of estimates here reproductive structures are indicated as ‘A: repro struc’, petal base as ‘B: petal base’, petal edge as ‘C: petal edge’; ‘Esolv.mean’, ‘Esolv.SD’, ‘Esolv.Count’ and ‘Esolv.SEM’ are the mean, standard deviation, number of replicates and standard error of the mean Solver emissivity estimates respectively for the measurement location and species indicated in the previous columns. Additionally, there is a numbered index column (untitled). Mean and standard deviations listed here are also plotted points for Fig. 3.
DOI: 10.6084/m9.figshare.14122011.v1
title: Additional file 9 of Floral infrared emissivity estimates using simple tools

description: Additional file 9. Water bath estimation IR images. File containing the thermal imaging (and paired photographs) of all images used in data collection for the water bath protocol. Images are sorted by species, set temperature of the water bath and then by individual flower, flower file names are formatted as [flower identifier used for sorting e.g. ‘D’][number]. Additionally, where available, photos are provided to aid identification of individual flowers.
DOI: 10.6084/m9.figshare.13138331.v8
title: Geospatial analysis of soil erosion including precipitation scenarios in a conservation area of the Amazon Region in Peru

description: The Tilacancha Private Conservation Area provides fresh water to the City of Chachapoyas, Amazonas. Therefore, the amount of soil lost in the year and under precipitation scenarios was determined. Individually, the values ​​of the factors were obtained: Rain erosivity (R) in 2019 and simulating increase and decrease of 15% of rainfall, soil erodibility (K), length and degree of slope (LS), land cover (C) and conservation practices (P); and they were integrated into USLE, obtaining A = R*K*LS*PC, (t/ha.yr). Six ranges of erosion were found, the ACP had areas where from 0.4 to 665.20 t/ha.yr of soil was lost. A 15% reduction in rainfall would represent a loss of soil from 0.20 to 301.56 t/ha.yr and an increase in rainfall by 15%, the erosion ranges would vary from 0.5 to 1028.84 t/ha.yr.
DOI: 10.6084/m9.figshare.14122112.v1
title: R-00286-2020 Supplementary Table 1 (Zhang et al. 2020, submitted to AJP-RICP).docx

description: Supplementary Table 1 for manuscript entitled: Exercising muscle mass influences neuromuscular, cardiorespiratory, and perceptual responses during and following ramp incremental cycling to task failure.<b></b>
DOI: 10.6084/m9.figshare.14122352
title: Supplementary Table 1 (Zhang et al., 2021, submitted to AJP-RICP)

description: Supplementary Table 1 for manuscript entitled: <b>Exercising muscle mass influences neuromuscular, cardiorespiratory, and perceptual responses during and following ramp incremental cycling to task failure.</b><b></b>
DOI: 10.6084/m9.figshare.14122112
title: R-00286-2020 Supplementary Table 1 (Zhang et al. 2020, submitted to AJP-RICP).docx

description: Supplementary Table 1 for manuscript entitled: Exercising muscle mass influences neuromuscular, cardiorespiratory, and perceptual responses during and following ramp incremental cycling to task failure.<b></b>
DOI: 10.6084/m9.figshare.14122415
title: S1 Table from Pup ultrasonic isolation calls of six gerbil species and the relationship between acoustic traits and body size

description: Mean values for acoustic variables of USV calls, body weight, body length, head length, foot length, tail length and body size index for 60 individual pup gerbils of six species.
DOI: 10.6084/m9.figshare.14122352.v1
title: Supplementary Table 1 (Zhang et al., 2021, submitted to AJP-RICP)

description: Supplementary Table 1 for manuscript entitled: <b>Exercising muscle mass influences neuromuscular, cardiorespiratory, and perceptual responses during and following ramp incremental cycling to task failure.</b><b></b>
DOI: 10.6084/m9.figshare.14122415.v1
title: S1 Table from Pup ultrasonic isolation calls of six gerbil species and the relationship between acoustic traits and body size

description: Mean values for acoustic variables of USV calls, body weight, body length, head length, foot length, tail length and body size index for 60 individual pup gerbils of six species.
DOI: 10.6084/m9.figshare.14122484
title: Experimental data. from Effect of spin labelling on the aggregation kinetics of yeast prion protein Ure2

description: Amyloid formation is involved in a wide range of neurodegenerative diseases including Alzheimer's and prion diseases. Structural understanding of the amyloid is critical to delineate the mechanism of aggregation and its pathological spreading. Site-directed spin labelling has emerged as a powerful structural tool in the studies of amyloid structures and provided structural evidence for the parallel in-register β-sheet structure for a wide range of amyloid proteins. It is generally accepted that spin labelling does not disrupt the structure of the amyloid fibrils, the end product of protein aggregation. The effect on the rate of protein aggregation, however, has not been well characterized. Here, we employed a scanning mutagenesis approach to study the effect of spin labelling on the aggregation rate of 79 spin-labelled variants of the Ure2 prion domain. The aggregation of Ure2 protein is the basis of yeast prion [URE3]. We found that all spin-labelled Ure2 mutants aggregated within the experimental timeframe of 15 to 40 h. Among the 79 spin-labelled positions, only five residue sites (N23, N27, S33, I35 and G42) showed a dramatic delay in the aggregation rate as a result of spin labelling. These positions may be important for fibril nucleation, a rate-limiting step in aggregation. Importantly, spin labelling at most of the sites had a muted effect on Ure2 aggregation kinetics, showing a general tolerance of spin labelling in protein aggregation studies.
DOI: 10.6084/m9.figshare.14122484.v1
title: Experimental data. from Effect of spin labelling on the aggregation kinetics of yeast prion protein Ure2

description: Amyloid formation is involved in a wide range of neurodegenerative diseases including Alzheimer's and prion diseases. Structural understanding of the amyloid is critical to delineate the mechanism of aggregation and its pathological spreading. Site-directed spin labelling has emerged as a powerful structural tool in the studies of amyloid structures and provided structural evidence for the parallel in-register β-sheet structure for a wide range of amyloid proteins. It is generally accepted that spin labelling does not disrupt the structure of the amyloid fibrils, the end product of protein aggregation. The effect on the rate of protein aggregation, however, has not been well characterized. Here, we employed a scanning mutagenesis approach to study the effect of spin labelling on the aggregation rate of 79 spin-labelled variants of the Ure2 prion domain. The aggregation of Ure2 protein is the basis of yeast prion [URE3]. We found that all spin-labelled Ure2 mutants aggregated within the experimental timeframe of 15 to 40 h. Among the 79 spin-labelled positions, only five residue sites (N23, N27, S33, I35 and G42) showed a dramatic delay in the aggregation rate as a result of spin labelling. These positions may be important for fibril nucleation, a rate-limiting step in aggregation. Importantly, spin labelling at most of the sites had a muted effect on Ure2 aggregation kinetics, showing a general tolerance of spin labelling in protein aggregation studies.
DOI: 10.22008/fk2/bqgyyg/sf8neo
title: TopoHeat_Antarctica_20210224.nc

description: Antarctic domain
DOI: 10.22008/fk2/bqgyyg/rlznoa
title: TopoHeat_Greenland_20210224.nc

description: Greenland domain
DOI: 10.22008/promice/data/topographiccorrectiongeothermalflux/v1
title: Topographic Correction for Geothermal Heat Flux
DOI: 10.5517/ccdc.csd.cc23v7v2
title: CCDC 1961644: Experimental Crystal Structure Determination

description: Related Article: Huijun Li, Xinglei He, Mengfan Zhang, Xin Li, Runxin Wang, Zhouqing Xu, Feifei Li|2021|Inorg.Chem.|60|2590|doi:10.1021/acs.inorgchem.0c03468
DOI: 10.5517/ccdc.csd.cc23v7y5
title: CCDC 1961647: Experimental Crystal Structure Determination

description: Related Article: Huijun Li, Xinglei He, Mengfan Zhang, Xin Li, Runxin Wang, Zhouqing Xu, Feifei Li|2021|Inorg.Chem.|60|2590|doi:10.1021/acs.inorgchem.0c03468
DOI: 10.5517/ccdc.csd.cc25vtpk
title: CCDC 2021779: Experimental Crystal Structure Determination

description: Related Article: Chaorong Wang, Zhencheng Lai, Hujun Xie, Sunliang Cui|2021|Angew.Chem.,Int.Ed.|60|5147|doi:10.1002/anie.202014686
DOI: 10.5517/ccdc.csd.cc260j81
title: CCDC 2026292: Experimental Crystal Structure Determination

description: Related Article: Chaorong Wang, Zhencheng Lai, Hujun Xie, Sunliang Cui|2021|Angew.Chem.,Int.Ed.|60|5147|doi:10.1002/anie.202014686
DOI: 10.5517/ccdc.csd.cc260qnm
title: CCDC 2026490: Experimental Crystal Structure Determination

description: Related Article: Andrey N. Usoltsev, Taisiya S. Sukhikh, Alexander S. Novikov, Vladimir R. Shayapov, Denis P. Pishchur, Ilya V. Korolkov, Ilyas F. Sakhapov, Vladimir P. Fedin, Maxim N. Sokolov, Sergey A. Adonin|2021|Inorg.Chem.|60|2797|doi:10.1021/acs.inorgchem.0c03699
DOI: 10.5517/ccdc.csd.cc260qpn
title: CCDC 2026491: Experimental Crystal Structure Determination

description: Related Article: Andrey N. Usoltsev, Taisiya S. Sukhikh, Alexander S. Novikov, Vladimir R. Shayapov, Denis P. Pishchur, Ilya V. Korolkov, Ilyas F. Sakhapov, Vladimir P. Fedin, Maxim N. Sokolov, Sergey A. Adonin|2021|Inorg.Chem.|60|2797|doi:10.1021/acs.inorgchem.0c03699
DOI: 10.5517/ccdc.csd.cc260qqp
title: CCDC 2026492: Experimental Crystal Structure Determination

description: Related Article: Andrey N. Usoltsev, Taisiya S. Sukhikh, Alexander S. Novikov, Vladimir R. Shayapov, Denis P. Pishchur, Ilya V. Korolkov, Ilyas F. Sakhapov, Vladimir P. Fedin, Maxim N. Sokolov, Sergey A. Adonin|2021|Inorg.Chem.|60|2797|doi:10.1021/acs.inorgchem.0c03699
DOI: 10.5517/ccdc.csd.cc260qsr
title: CCDC 2026494: Experimental Crystal Structure Determination

description: Related Article: Andrey N. Usoltsev, Taisiya S. Sukhikh, Alexander S. Novikov, Vladimir R. Shayapov, Denis P. Pishchur, Ilya V. Korolkov, Ilyas F. Sakhapov, Vladimir P. Fedin, Maxim N. Sokolov, Sergey A. Adonin|2021|Inorg.Chem.|60|2797|doi:10.1021/acs.inorgchem.0c03699
DOI: 10.5517/ccdc.csd.cc260sbc
title: CCDC 2026542: Experimental Crystal Structure Determination

description: Related Article: Julian Müller, Manfred Scheer|2021|Chem.-Eur.J.|27|3675|doi:10.1002/chem.202005025
DOI: 10.5517/ccdc.csd.cc260scd
title: CCDC 2026543: Experimental Crystal Structure Determination

description: Related Article: Julian Müller, Manfred Scheer|2021|Chem.-Eur.J.|27|3675|doi:10.1002/chem.202005025
DOI: 10.5517/ccdc.csd.cc260sdf
title: CCDC 2026544: Experimental Crystal Structure Determination

description: Related Article: Julian Müller, Manfred Scheer|2021|Chem.-Eur.J.|27|3675|doi:10.1002/chem.202005025
DOI: 10.5517/ccdc.csd.cc260sfg
title: CCDC 2026545: Experimental Crystal Structure Determination

description: Related Article: Julian Müller, Manfred Scheer|2021|Chem.-Eur.J.|27|3675|doi:10.1002/chem.202005025
DOI: 10.5517/ccdc.csd.cc260sgh
title: CCDC 2026546: Experimental Crystal Structure Determination

description: Related Article: Julian Müller, Manfred Scheer|2021|Chem.-Eur.J.|27|3675|doi:10.1002/chem.202005025
DOI: 10.5517/ccdc.csd.cc260shj
title: CCDC 2026547: Experimental Crystal Structure Determination

description: Related Article: Julian Müller, Manfred Scheer|2021|Chem.-Eur.J.|27|3675|doi:10.1002/chem.202005025
DOI: 10.5517/ccdc.csd.cc260sjk
title: CCDC 2026548: Experimental Crystal Structure Determination

description: Related Article: Julian Müller, Manfred Scheer|2021|Chem.-Eur.J.|27|3675|doi:10.1002/chem.202005025
DOI: 10.5517/ccdc.csd.cc260skl
title: CCDC 2026549: Experimental Crystal Structure Determination

description: Related Article: Julian Müller, Manfred Scheer|2021|Chem.-Eur.J.|27|3675|doi:10.1002/chem.202005025
DOI: 10.5517/ccdc.csd.cc2683by
title: CCDC 2033579: Experimental Crystal Structure Determination

description: Related Article: Daniel Costabel, Artem Skabeev, Afshin Nabiyan, Yusen Luo, Johannes B. Max, Ashwene Rajagopal, Daniel Kowalczyk, Benjamin Dietzek, Maria Wächtler, Helmar Görls, Dirk Ziegenbalg, Yulian Zagranyarski, Carsten Streb, Felix H. Schacher, Kalina Peneva|2021|Chem.-Eur.J.|27|4081|doi:10.1002/chem.202004326
DOI: 10.5517/ccdc.csd.cc2683cz
title: CCDC 2033580: Experimental Crystal Structure Determination

description: Related Article: Daniel Costabel, Artem Skabeev, Afshin Nabiyan, Yusen Luo, Johannes B. Max, Ashwene Rajagopal, Daniel Kowalczyk, Benjamin Dietzek, Maria Wächtler, Helmar Görls, Dirk Ziegenbalg, Yulian Zagranyarski, Carsten Streb, Felix H. Schacher, Kalina Peneva|2021|Chem.-Eur.J.|27|4081|doi:10.1002/chem.202004326
DOI: 10.5517/ccdc.csd.cc2683d0
title: CCDC 2033581: Experimental Crystal Structure Determination

description: Related Article: Daniel Costabel, Artem Skabeev, Afshin Nabiyan, Yusen Luo, Johannes B. Max, Ashwene Rajagopal, Daniel Kowalczyk, Benjamin Dietzek, Maria Wächtler, Helmar Görls, Dirk Ziegenbalg, Yulian Zagranyarski, Carsten Streb, Felix H. Schacher, Kalina Peneva|2021|Chem.-Eur.J.|27|4081|doi:10.1002/chem.202004326
DOI: 10.5517/ccdc.csd.cc2683f1
title: CCDC 2033582: Experimental Crystal Structure Determination

description: Related Article: Daniel Costabel, Artem Skabeev, Afshin Nabiyan, Yusen Luo, Johannes B. Max, Ashwene Rajagopal, Daniel Kowalczyk, Benjamin Dietzek, Maria Wächtler, Helmar Görls, Dirk Ziegenbalg, Yulian Zagranyarski, Carsten Streb, Felix H. Schacher, Kalina Peneva|2021|Chem.-Eur.J.|27|4081|doi:10.1002/chem.202004326
DOI: 10.5517/ccdc.csd.cc2683g2
title: CCDC 2033583: Experimental Crystal Structure Determination

description: Related Article: Daniel Costabel, Artem Skabeev, Afshin Nabiyan, Yusen Luo, Johannes B. Max, Ashwene Rajagopal, Daniel Kowalczyk, Benjamin Dietzek, Maria Wächtler, Helmar Görls, Dirk Ziegenbalg, Yulian Zagranyarski, Carsten Streb, Felix H. Schacher, Kalina Peneva|2021|Chem.-Eur.J.|27|4081|doi:10.1002/chem.202004326
DOI: 10.5517/ccdc.csd.cc268ncj
title: CCDC 2034107: Experimental Crystal Structure Determination

description: Related Article: Chaorong Wang, Zhencheng Lai, Hujun Xie, Sunliang Cui|2021|Angew.Chem.,Int.Ed.|60|5147|doi:10.1002/anie.202014686
DOI: 10.5517/ccdc.csd.cc26chnr
title: CCDC 2036844: Experimental Crystal Structure Determination

description: Related Article: Ken-ichi Otake, Sol Ahn, Julia Knapp, Joseph T. Hupp, Justin M. Notestein, Omar K. Farha|2021|Inorg.Chem.|60|2457|doi:10.1021/acs.inorgchem.0c03364
DOI: 10.5517/ccdc.csd.cc26chps
title: CCDC 2036845: Experimental Crystal Structure Determination

description: Related Article: Ken-ichi Otake, Sol Ahn, Julia Knapp, Joseph T. Hupp, Justin M. Notestein, Omar K. Farha|2021|Inorg.Chem.|60|2457|doi:10.1021/acs.inorgchem.0c03364
DOI: 10.5517/ccdc.csd.cc26ftr7
title: CCDC 2039079: Experimental Crystal Structure Determination

description: Related Article: Richard C. Knighton, Thibault Troadec, Valérie Mazan, Patricia Le Saëc, Séverine Marionneau-Lambot, Thomas Le Bihan, Nathalie Saffon-Merceron, Nathalie Le Bris, Michel Chérel, Alain Faivre-Chauvet, Mourad Elhabiri, Loïc J. Charbonnière, Raphaël Tripier|2021|Inorg.Chem.|60|2634|doi:10.1021/acs.inorgchem.0c03492
DOI: 10.5517/ccdc.csd.cc26gyyl
title: CCDC 2040170: Experimental Crystal Structure Determination

description: Related Article: Ye Tao, Yun-Kai Chen, Huang-Fei Qin, Rui Huang, Hai-Ye Li, Di Yao, He-Dong Bian, Fu-Ping Huang|2021|Inorg.Chem.|60|2372|doi:10.1021/acs.inorgchem.0c03253
DOI: 10.5517/ccdc.csd.cc26m556
title: CCDC 2044207: Experimental Crystal Structure Determination

description: Related Article: Minami Odagi, Taisei Matoba, Keisuke Hosoya, Kazuo Nagasawa|2021|J.Am.Chem.Soc.|143|2699|doi:10.1021/jacs.1c00047
DOI: 10.5517/ccdc.csd.cc26m567
title: CCDC 2044208: Experimental Crystal Structure Determination

description: Related Article: Minami Odagi, Taisei Matoba, Keisuke Hosoya, Kazuo Nagasawa|2021|J.Am.Chem.Soc.|143|2699|doi:10.1021/jacs.1c00047
DOI: 10.5517/ccdc.csd.cc26mnr8
title: CCDC 2044690: Experimental Crystal Structure Determination

description: Related Article: Lei Mei, Qun-yan Wu, Si Wu, Jun-Shan Geng, Ya-lan Liu, Kong-qiu Hu, Yi-chuan Liu, Zhi-hui Zhang, Yuan-yuan Liang, Zhi-fang Chai, Peter C. Burns, Wei-qun Shi|2021|Inorg.Chem.|60|2133|doi:10.1021/acs.inorgchem.0c03661