cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5744928
title: Raw data for Ultrathin wide-bandgap a-Si:H based solar cells for transparent photovoltaic applications

description: In the following the raw data lying the foundation of the paper “Ultrathin wide-bandgap a-Si:H based solar cells for transparent photovoltaic applications” (Lopez-Garcia et al.) published in Solar Rapid Research Letters, DOI: 10.1002/solr.202100909 (2021), are described. They were obtained under the funding provided by the European Union H2020 Framework Programme under Grant Agreement no. 826002 (Tech4Win) and by the Mater-One (Refs. PID 2020-116719RB-C42 and PID 2020-116719RB-C41) and SCALED (Ref. PID 2019-109215RB-C4) projects funded by the Spanish MCIN/AEI/10.13039/5011000110033. UV–vis measurements were acquired with a dual-beam spectrophotometer setup (Perkin Elmer Lambda L35) in transmittance mode (light source and detector normal to sample’s surface (i.e., 0<sup>o</sup>)) and in reflectance mode (with an Integrating sphere) scanning from 300 to 800 nm. J–V measurements under illumination were carried out using a homemade setup consisting on a AAA solar simulator calibrated using a NREL-certified Si reference solar cell (Abet Technologies, Model 15150). Electrical measurements were carried out with a source-measure unit (Keithley 2400) in four-wire sense mode, controlled by the software Tracer (ReRa solutions) using a IEEE 488 GPIB Instrument Control Device (National Instruments GPIB-USB-HS).
description: This work has received funding from the European Union H2020 Framework Programme under Grant Agreement no. 826002 (Tech4Win). This work is also part of the R+D+i MaterOne projects (Refs. PID 2020-116719RB-C42 and PID 2020-116719RB-C41) and of the R+D+i SCALED project (Ref. PID 2019-109215RB-C4) funded by MCIN/AEI/10.13039/5011000110033 (Spain).
DOI: 10.5281/zenodo.5744960
title: IARA LP Dataset

description: The file contains two sheets. The first one contains the indicators of three variables; Learning Experience, Human-Human Interaction and Human-System Interaction which were used for framework analysis. The second sheet includes the results of students' performance prior and after using the learning system as pre-test and post-test.
DOI: 10.5281/zenodo.5744959
title: IARA LP Dataset

description: The file contains two sheets. The first one contains the indicators of three variables; Learning Experience, Human-Human Interaction and Human-System Interaction which were used for framework analysis. The second sheet includes the results of students' performance prior and after using the learning system as pre-test and post-test.
DOI: 10.25387/g3.14700222
title: Supplemental Material for Romine et al., 2021

description: Supplementary Material
DOI: 10.25387/g3.14700222.v1
title: Supplemental Material for Romine et al., 2021

description: Supplementary Material
DOI: 10.5281/zenodo.5744957
title: Grain size and geochemeical analysis in the Ghar El Melh Lagoon and the Medjerda River watershed

description: Two piston cores were manually collected in the Ghar El Melh lagoon. These cores are 126 cm (GEM4) and 98 cm (GEM3) in length. A very high-resolution sedimentological analysis (granulometric and geochemical) was applied to these cores. Moreover, 29 surface sediment samples were collected from present-day soil horizons from the Medejerda watershed to the littoral area (beaches and dunes) to assess the origin and all sources of the lagoon sediment arriving in the study area. In the laboratory, granulometric and geochemical analyses were performed on these surface samples. The particle sizes obtained are classified according to Folk and Ward (1957) into three categories (clay Φ &lt;2µm, silt 2µm &lt;Φ &lt; 63µm and sand Φ &gt; 63µm).<br>
DOI: 10.5281/zenodo.5744956
title: Grain size and geochemeical analysis in the Ghar El Melh Lagoon and the Medjerda River watershed

description: Two piston cores were manually collected in the Ghar El Melh lagoon. These cores are 126 cm (GEM4) and 98 cm (GEM3) in length. A very high-resolution sedimentological analysis (granulometric and geochemical) was applied to these cores. Moreover, 29 surface sediment samples were collected from present-day soil horizons from the Medejerda watershed to the littoral area (beaches and dunes) to assess the origin and all sources of the lagoon sediment arriving in the study area. In the laboratory, granulometric and geochemical analyses were performed on these surface samples. The particle sizes obtained are classified according to Folk and Ward (1957) into three categories (clay Φ &lt;2µm, silt 2µm &lt;Φ &lt; 63µm and sand Φ &gt; 63µm).<br>
DOI: 10.15468/95x69s
title: Towards a revision of the genus Halectinosoma (Copepoda, Harpacticoida, Ectinosomatidae): new species from the North Atlantic and Arctic regions

description: This dataset contains the digitized treatments in Plazi based on the original journal article Clément, Michel, Moore, Colin G. (2007): Towards a revision of the genus Halectinosoma (Copepoda, Harpacticoida, Ectinosomatidae): new species from the North Atlantic and Arctic regions. Zoological Journal of the Linnean Society 149 (3): 453-475, DOI: 10.1111/j.1096-3642.2007.00267.x, URL: https://academic.oup.com/zoolinnean/article-lookup/doi/10.1111/j.1096-3642.2007.00267.x
DOI: 10.5281/zenodo.5744941
title: Thectocercus acuticaudatus SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5744940
title: Thectocercus acuticaudatus SPAdes preassembly

description: .
DOI: 10.5525/gla.researchdata.1199
title: Time of flight 3D imaging through multimode optical fibres
DOI: 10.5281/zenodo.5737277
title: Dataset: The role of methanotrophy in the microbial carbon metabolism of temperate lakes

description: This dataset contains the data generated and analyzed in the manuscript "The role of methanotrophy in the microbial carbon metabolism of temperate lakes" by Reis, Thottathil, and Prairie. The dataset includes: (1) incubation data for the determination of aerobic bacterial methane oxidation (methanotrophy) and heterotrophic bacterial carbon consumption (heterotrophy) rates in lake water; (2) microscopy counts and total biomass of each bacterial group (methane-oxidizing bacteria and heterotrophs) during incubations; and (3) water column depth profiles of temperature, dissolved oxygen, and methane concentrations across the ice-free season. The data was collected in six temperate lakes located in the Laurentian region of Quebec, Canada, in 2015 and 2016.
DOI: 10.5281/zenodo.5737276
title: Dataset: The role of methanotrophy in the microbial carbon metabolism of temperate lakes

description: This dataset contains the data generated and analyzed in the manuscript "The role of methanotrophy in the microbial carbon metabolism of temperate lakes" by Reis, Thottathil, and Prairie. The dataset includes: (1) incubation data for the determination of aerobic bacterial methane oxidation (methanotrophy) and heterotrophic bacterial carbon consumption (heterotrophy) rates in lake water; (2) microscopy counts and total biomass of each bacterial group (methane-oxidizing bacteria and heterotrophs) during incubations; and (3) water column depth profiles of temperature, dissolved oxygen, and methane concentrations across the ice-free season. The data was collected in six temperate lakes located in the Laurentian region of Quebec, Canada, in 2015 and 2016.
DOI: 10.5281/zenodo.5744981
title: 2D P-wave velocity model of the northern Hikurangi margin.

description: You should find three files attached that include (1) a table that maps x-coordinates to longitude/latitude, (2) the Vp model with columns for x, depth, and Vp, and (3) a table of interfaces that include the topography (value 1) and the Moho (value 2). The zero x coordinate is arbitrarily the location of the westernmost shot in the Bay of Plenty from the SHIRE seismic survey of 2017, so x values range from ~190 to 400 km. This P-wave velocity model is presented in: Gase, Andrew C., et al. "Crustal structure of the northern Hikurangi margin, New Zealand: Variable accretion and overthrusting plate strength influenced by rough subduction." <em>Journal of Geophysical Research: Solid Earth</em> 126.5 (2021): e2020JB021176.
description: {"references": ["Gase, Andrew C., et al. \"Crustal structure of the northern Hikurangi margin, New Zealand: Variable accretion and overthrusting plate strength influenced by rough subduction.\" Journal of Geophysical Research: Solid Earth 126.5 (2021): e2020JB021176."]}
DOI: 10.5281/zenodo.5744980
title: 2D P-wave velocity model of the northern Hikurangi margin.

description: You should find three files attached that include (1) a table that maps x-coordinates to longitude/latitude, (2) the Vp model with columns for x, depth, and Vp, and (3) a table of interfaces that include the topography (value 1) and the Moho (value 2). The zero x coordinate is arbitrarily the location of the westernmost shot in the Bay of Plenty from the SHIRE seismic survey of 2017, so x values range from ~190 to 400 km. This P-wave velocity model is presented in: Gase, Andrew C., et al. "Crustal structure of the northern Hikurangi margin, New Zealand: Variable accretion and overthrusting plate strength influenced by rough subduction." <em>Journal of Geophysical Research: Solid Earth</em> 126.5 (2021): e2020JB021176.
description: {"references": ["Gase, Andrew C., et al. \"Crustal structure of the northern Hikurangi margin, New Zealand: Variable accretion and overthrusting plate strength influenced by rough subduction.\" Journal of Geophysical Research: Solid Earth 126.5 (2021): e2020JB021176."]}
DOI: 10.5281/zenodo.5744919
title: ERA5 dataset for the categorization of Stratospheric Final Warming

description: This file in HDF5 format includes daily values of the following quantities derived from ERA5 data: Zonal wind at 60°N – 10 hPa Polar temperature averaged over 80-90°N and 50-10 hPa Amplitude of geopotential wave 1 at 60°N – 10 hPa Zonal-mean meridional heat flux averaged over 45-75°N at 10 hPa Each data set includes 25933 daily values from January 1n, 1950 to December 31, 2020. They are computed from ERA5 data extracted at 12UT each day and a resolution 2.5 x 2.5 degrees in latitude and longitude. The ERA5 data are provided by ECMWF Copernicus Climate Change Service from their data server https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-pressure-levels?tab=form.
DOI: 10.21223/jpwa9g/fjgyv6
title: Table 1.- Potato clones used in the phenotypic stability and correlation study.tab

description: :unav
DOI: 10.5281/zenodo.5744918
title: ERA5 dataset for the categorization of Stratospheric Final Warming

description: This file in HDF5 format includes daily values of the following quantities derived from ERA5 data: Zonal wind at 60°N – 10 hPa Polar temperature averaged over 80-90°N and 50-10 hPa Amplitude of geopotential wave 1 at 60°N – 10 hPa Zonal-mean meridional heat flux averaged over 45-75°N at 10 hPa Each data set includes 25933 daily values from January 1n, 1950 to December 31, 2020. They are computed from ERA5 data extracted at 12UT each day and a resolution 2.5 x 2.5 degrees in latitude and longitude. The ERA5 data are provided by ECMWF Copernicus Climate Change Service from their data server https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-pressure-levels?tab=form.
DOI: 10.25810/f722-1235
title: FIRED BOTSWANA

description: This is event and daily-level polygons for the Fire event delineation (FIRED) product for Botswana from November 2000  to July 2021. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v006/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (www.github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of 5 pixels and 11 days. The primary benefit to this dataset over others is the ability to calculate fire spread rate. For each of these products (events and daily) the event identification numbers are the same, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event.  See the accompanying metadata files for the statistics provided by each data set. See the associated paper for more details on the methods and more:

Balch, J.K.; St. Denis, L.A.; Mahood, A.L.; Mietkiewicz, N.P.; Williams, T.M.; McGlinchy, J.; Cook, M.C. FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001–2019). Remote Sens. 2020, 12, 3498. https://doi.org/10.3390/rs12213498
DOI: 10.6084/m9.figshare.17100119
title: ANÁLISE DE SEQUÊNCIAS DE INSERÇÃO E TRANSPOSONS NOS GENOMAS DAS PRINCIPAIS BACTÉRIAS FITOPATOGÊNICAS

description: Material suplementar referente a tese.
DOI: 10.6084/m9.figshare.17100119.v1
title: ANÁLISE DE SEQUÊNCIAS DE INSERÇÃO E TRANSPOSONS NOS GENOMAS DAS PRINCIPAIS BACTÉRIAS FITOPATOGÊNICAS

description: Material suplementar referente a tese.
DOI: 10.6084/m9.figshare.17100122
title: Modelling impacts of lateral N flows and seasonal warming on an arctic footslope ecosystem N budget and N2O emissions based on species-level responses

description: These datasets support the article which is under the review in the journal "Biogeochemistry".<br>The datasets include the model accepted runs and four scenario runs. <br>The readers should use CoupModel (www.coupmodel.com) to open the file and browse the data.
DOI: 10.25810/n2kb-sb06
title: FIRED MOZAMBIQUE

description: This is event and daily-level polygons for the Fire event delineation (FIRED) product for Mozambique from November 2000  to July 2021. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v006/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (www.github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of 5 pixels and 11 days. The primary benefit to this dataset over others is the ability to calculate fire spread rate. For each of these products (events and daily) the event identification numbers are the same, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event.  See the accompanying metadata files for the statistics provided by each data set. See the associated paper for more details on the methods and more:

Balch, J.K.; St. Denis, L.A.; Mahood, A.L.; Mietkiewicz, N.P.; Williams, T.M.; McGlinchy, J.; Cook, M.C. FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001–2019). Remote Sens. 2020, 12, 3498. https://doi.org/10.3390/rs12213498
DOI: 10.5281/zenodo.5680037
title: Spatially mapping the baseline and bisphenol-A exposed Daphnia magna lipidome using desorption electrospray ionisa-tion - mass spectrometry

description: Data from desorption electrospray ionisation - mass spectrometry of <em>Daphnia magna</em> tissue section from control and daphnids exposed to 5 ppm of bisphenol A over their 7<sup>th</sup> adult instar, specifically four sampling points; 8, 24, 48 and 72 h after the 6<sup>th</sup> brood, as well as data acquired from a blank DESI slide. Data is provided in the form of *imzML files with the associated *.ibd of the same name.
DOI: 10.5281/zenodo.5680036
title: Spatially mapping the baseline and bisphenol-A exposed Daphnia magna lipidome using desorption electrospray ionisa-tion - mass spectrometry

description: Data from desorption electrospray ionisation - mass spectrometry of <em>Daphnia magna</em> tissue section from control and daphnids exposed to 5 ppm of bisphenol A over their 7<sup>th</sup> adult instar, specifically four sampling points; 8, 24, 48 and 72 h after the 6<sup>th</sup> brood, as well as data acquired from a blank DESI slide. Data is provided in the form of *imzML files with the associated *.ibd of the same name.
DOI: 10.5517/ccdc.csd.cc21snm4
title: CCDC 1900536: Experimental Crystal Structure Determination

description: Related Article: Hong-Gang Zhang, Yu-Chang Du, Hua Yang, Man-Yun Zhuang, Da-Cheng Li, Jian-Min Dou|2019|Inorg.Chem.Front.|6|1904|doi:10.1039/C9QI00661C
DOI: 10.5517/ccdc.csd.cc21xyyw
title: CCDC 1904669: Experimental Crystal Structure Determination

description: Related Article: Hong-Gang Zhang, Yu-Chang Du, Hua Yang, Man-Yun Zhuang, Da-Cheng Li, Jian-Min Dou|2019|Inorg.Chem.Front.|6|1904|doi:10.1039/C9QI00661C
DOI: 10.5517/ccdc.csd.cc1nyrr3
title: CCDC 1547946: Experimental Crystal Structure Determination

description: Related Article: Wei-Hui Fang, Rosa Müller, Rajesh B. Jethwa, Victor Riesgo-González, Ning Li, Sebastian D. Pike, Andrew D. Bond, He-Kuan Luo, Cheng Zhang, Dominic S. Wright|2021|Dalton Trans.|50|17202|doi:10.1039/D1DT03377H
DOI: 10.5517/ccdc.csd.cc1nyrw7
title: CCDC 1547950: Experimental Crystal Structure Determination

description: Related Article: Wei-Hui Fang, Rosa Müller, Rajesh B. Jethwa, Victor Riesgo-González, Ning Li, Sebastian D. Pike, Andrew D. Bond, He-Kuan Luo, Cheng Zhang, Dominic S. Wright|2021|Dalton Trans.|50|17202|doi:10.1039/D1DT03377H
DOI: 10.5517/ccdc.csd.cc1nyry9
title: CCDC 1547952: Experimental Crystal Structure Determination

description: Related Article: Wei-Hui Fang, Rosa Müller, Rajesh B. Jethwa, Victor Riesgo-González, Ning Li, Sebastian D. Pike, Andrew D. Bond, He-Kuan Luo, Cheng Zhang, Dominic S. Wright|2021|Dalton Trans.|50|17202|doi:10.1039/D1DT03377H
DOI: 10.5517/ccdc.csd.cc1nyrs4
title: CCDC 1547947: Experimental Crystal Structure Determination

description: Related Article: Wei-Hui Fang, Rosa Müller, Rajesh B. Jethwa, Victor Riesgo-González, Ning Li, Sebastian D. Pike, Andrew D. Bond, He-Kuan Luo, Cheng Zhang, Dominic S. Wright|2021|Dalton Trans.|50|17202|doi:10.1039/D1DT03377H
DOI: 10.5517/ccdc.csd.cc1nyrq2
title: CCDC 1547945: Experimental Crystal Structure Determination

description: Related Article: Wei-Hui Fang, Rosa Müller, Rajesh B. Jethwa, Victor Riesgo-González, Ning Li, Sebastian D. Pike, Andrew D. Bond, He-Kuan Luo, Cheng Zhang, Dominic S. Wright|2021|Dalton Trans.|50|17202|doi:10.1039/D1DT03377H
DOI: 10.5281/zenodo.5744985
title: data_for_paper_revision_contrail_formation_within_cirrus_30112021

description: this is the data set for paper revision
DOI: 10.5517/ccdc.csd.cc1nyrx8
title: CCDC 1547951: Experimental Crystal Structure Determination

description: Related Article: Wei-Hui Fang, Rosa Müller, Rajesh B. Jethwa, Victor Riesgo-González, Ning Li, Sebastian D. Pike, Andrew D. Bond, He-Kuan Luo, Cheng Zhang, Dominic S. Wright|2021|Dalton Trans.|50|17202|doi:10.1039/D1DT03377H
DOI: 10.5517/ccdc.csd.cc1nyrt5
title: CCDC 1547948: Experimental Crystal Structure Determination

description: Related Article: Wei-Hui Fang, Rosa Müller, Rajesh B. Jethwa, Victor Riesgo-González, Ning Li, Sebastian D. Pike, Andrew D. Bond, He-Kuan Luo, Cheng Zhang, Dominic S. Wright|2021|Dalton Trans.|50|17202|doi:10.1039/D1DT03377H
DOI: 10.5281/zenodo.5744984
title: data_for_paper_revision_contrail_formation_within_cirrus_30112021

description: this is the data set for paper revision
DOI: 10.5517/ccdc.csd.cc1nyrv6
title: CCDC 1547949: Experimental Crystal Structure Determination

description: Related Article: Wei-Hui Fang, Rosa Müller, Rajesh B. Jethwa, Victor Riesgo-González, Ning Li, Sebastian D. Pike, Andrew D. Bond, He-Kuan Luo, Cheng Zhang, Dominic S. Wright|2021|Dalton Trans.|50|17202|doi:10.1039/D1DT03377H
DOI: 10.5517/ccdc.csd.cc250htj
title: CCDC 1996487: Experimental Crystal Structure Determination

description: Related Article: Fabian A. Watt, Benedikt Sieland, Nicole Dickmann, Roland Schoch, Regine Herbst-Irmer, Holger Ott, Jan Paradies, Dirk Kuckling, Stephan Hohloch|2021|Dalton Trans.|50|17361|doi:10.1039/D1DT03311E
DOI: 10.5517/ccdc.csd.cc26brfr
title: CCDC 2036124: Experimental Crystal Structure Determination

description: Related Article: Zheng Ming, Tiexin Zhang, Wenming Tian, Jianing Li, Zhenhui Liu, Renhai Liu, Zhongmin Liu, Chunying Duan|2021|Chem.Commun.|57|12812|doi:10.1039/D1CC04209B
DOI: 10.5517/ccdc.csd.cc27jmcs
title: CCDC 2071555: Experimental Crystal Structure Determination

description: Related Article: Yubao Dong, Li Zhu, Bing Yin, Xinrui Zhu, Dongfeng Li|2021|Dalton Trans.|50|17328|doi:10.1039/D1DT02925H
DOI: 10.5517/ccdc.csd.cc27jmdt
title: CCDC 2071556: Experimental Crystal Structure Determination

description: Related Article: Yubao Dong, Li Zhu, Bing Yin, Xinrui Zhu, Dongfeng Li|2021|Dalton Trans.|50|17328|doi:10.1039/D1DT02925H
DOI: 10.5517/ccdc.csd.cc27jmfv
title: CCDC 2071557: Experimental Crystal Structure Determination

description: Related Article: Yubao Dong, Li Zhu, Bing Yin, Xinrui Zhu, Dongfeng Li|2021|Dalton Trans.|50|17328|doi:10.1039/D1DT02925H
DOI: 10.5517/ccdc.csd.cc27jmgw
title: CCDC 2071558: Experimental Crystal Structure Determination

description: Related Article: Yubao Dong, Li Zhu, Bing Yin, Xinrui Zhu, Dongfeng Li|2021|Dalton Trans.|50|17328|doi:10.1039/D1DT02925H
DOI: 10.5517/ccdc.csd.cc27jmkz
title: CCDC 2071561: Experimental Crystal Structure Determination

description: Related Article: Yubao Dong, Li Zhu, Bing Yin, Xinrui Zhu, Dongfeng Li|2021|Dalton Trans.|50|17328|doi:10.1039/D1DT02925H
DOI: 10.5517/ccdc.csd.cc27jml0
title: CCDC 2071562: Experimental Crystal Structure Determination

description: Related Article: Yubao Dong, Li Zhu, Bing Yin, Xinrui Zhu, Dongfeng Li|2021|Dalton Trans.|50|17328|doi:10.1039/D1DT02925H
DOI: 10.5517/ccdc.csd.cc27lxj9
title: CCDC 2073761: Experimental Crystal Structure Determination

description: Related Article: Pavel S. Koroteev, Zhanna V. Dobrokhotova, Andrey B. Ilyukhin, Ekaterina V. Belova, Alexey D. Yapryntsev, Mathieu Rouzières, Rodolphe Clérac, Nikolay N. Efimov|2021|Dalton Trans.|50|16990|doi:10.1039/D1DT02562G
DOI: 10.5517/ccdc.csd.cc27lxkb
title: CCDC 2073762: Experimental Crystal Structure Determination

description: Related Article: Pavel S. Koroteev, Zhanna V. Dobrokhotova, Andrey B. Ilyukhin, Ekaterina V. Belova, Alexey D. Yapryntsev, Mathieu Rouzières, Rodolphe Clérac, Nikolay N. Efimov|2021|Dalton Trans.|50|16990|doi:10.1039/D1DT02562G
DOI: 10.5517/ccdc.csd.cc27lxlc
title: CCDC 2073763: Experimental Crystal Structure Determination

description: Related Article: Pavel S. Koroteev, Zhanna V. Dobrokhotova, Andrey B. Ilyukhin, Ekaterina V. Belova, Alexey D. Yapryntsev, Mathieu Rouzières, Rodolphe Clérac, Nikolay N. Efimov|2021|Dalton Trans.|50|16990|doi:10.1039/D1DT02562G
DOI: 10.5517/ccdc.csd.cc27lxmd
title: CCDC 2073764: Experimental Crystal Structure Determination

description: Related Article: Pavel S. Koroteev, Zhanna V. Dobrokhotova, Andrey B. Ilyukhin, Ekaterina V. Belova, Alexey D. Yapryntsev, Mathieu Rouzières, Rodolphe Clérac, Nikolay N. Efimov|2021|Dalton Trans.|50|16990|doi:10.1039/D1DT02562G
DOI: 10.5517/ccdc.csd.cc27lxnf
title: CCDC 2073765: Experimental Crystal Structure Determination

description: Related Article: Pavel S. Koroteev, Zhanna V. Dobrokhotova, Andrey B. Ilyukhin, Ekaterina V. Belova, Alexey D. Yapryntsev, Mathieu Rouzières, Rodolphe Clérac, Nikolay N. Efimov|2021|Dalton Trans.|50|16990|doi:10.1039/D1DT02562G
DOI: 10.5517/ccdc.csd.cc27lxpg
title: CCDC 2073766: Experimental Crystal Structure Determination

description: Related Article: Pavel S. Koroteev, Zhanna V. Dobrokhotova, Andrey B. Ilyukhin, Ekaterina V. Belova, Alexey D. Yapryntsev, Mathieu Rouzières, Rodolphe Clérac, Nikolay N. Efimov|2021|Dalton Trans.|50|16990|doi:10.1039/D1DT02562G
DOI: 10.5517/ccdc.csd.cc27t7fr
title: CCDC 2079834: Experimental Crystal Structure Determination

description: Related Article: Beeraiah Baire, Bhavna Yadav|2021|Chem.Commun.|57|12796|doi:10.1039/D1CC05253E