cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25318/3310024801-fra
title: Méthodes utilisées pour effectuer des ventes ou pour assurer les commandes à distance avant et pendant la pandémie de COVID-19, selon les caractéristiques de l'entreprise

description: Méthodes utilisées pour effectuer des ventes ou pour assurer les commandes à distance avant le 1er février 2020 et en date du 29 mai 2020, pendant la pandémie de la COVID-19, selon le code du Système de classification des industries de l'Amérique du Nord (SCIAN), l'effectif de l'entreprise, le type d'entreprise, activités commerciales et le propriétaire majoritaire.
DOI: 10.25318/3310024901-eng
title: Cyber security incidents in May 2020 compared to February 2020, by business characteristics

description: Cyber security incidents experienced by businesses in May 2020 compared to February 2020, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership.
DOI: 10.25318/3310024901-fra
title: Incidents de cybersécurité en mai 2020 par rapport à février 2020, selon les caractéristiques de l'entreprise

description: Incidents de cybersécurité en mai 2020 par rapport à février 2020, selon le code du Système de classification des industries de l'Amérique du Nord (SCIAN), l'effectif de l'entreprise, le type d'entreprise, activités commerciales et le propriétaire majoritaire.
DOI: 10.25318/3310025001-eng
title: Changes made by businesses to adapt to the COVID-19 pandemic, by business characteristics

description: Changes businesses have made to adapt to the COVID-19 pandemic, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership.
DOI: 10.25318/3310025001-fra
title: Changements apportés par les entreprises afin de s'adapter à la pandémie de la COVID-19, selon les caractéristiques de l'entreprise

description: Changements que les entreprises ont apportés pour s'adapter à la pandémie de la COVID-19, selon le code du Système de classification des industries de l'Amérique du Nord (SCIAN), l'effectif de l'entreprise, le type d'entreprise, activités commerciales et le propriétaire majoritaire.
DOI: 10.7910/dvn/67crrw/b54evc
title: WT_ControlRNAi_Movie13.tif

description: :unav
DOI: 10.21227/nbew-0y36
title: Intelligent Service Orchestration in Mobile Edge Cloud Networks: KPIs FROM NETWORK ELEMENTS

description: Measurements collected from pods M1, S1 and S2 and links L1, L2, L3 and L4.
DOI: 10.21227/m76b-hx19
title: Intelligent Service Orchestration in Mobile Edge Cloud Networks: KPIs FROM NETWORK ELEMENTS

description: Measurements collected from pods M1, S1 and S2 and links L1, L2, L3 and L4.
DOI: 10.15468/un5qvr
title: Review of the genus Bolbonaso Emeljanov with checklist and key to Indian Caliscelidae (Hemiptera: Fulgoroidea)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Gnezdilov, Vladimir M. (2015): Review of the genus Bolbonaso Emeljanov with checklist and key to Indian Caliscelidae (Hemiptera: Fulgoroidea). Journal of Natural History 50: 847-863, DOI: 10.1080/00222933.2015.1103908, URL: http://dx.doi.org/10.1080/00222933.2015.1103908
DOI: 10.15468/fbwknt
title: Two new Geoplaninae species (Platyhelminthes: Continenticola) from Southern Brazil based on an integrative taxonomic approach

description: This dataset contains the digitized treatments in Plazi based on the original journal article Rossi, Ilana, Amaral, Silvana Vargas, Ribeiro, Giovana Gamino, Cauduro, Guilherme Pinto, Fick, Israel, Valiati, Victor Hugo, Leal-Zanchet, Ana Maria (2015): Two new Geoplaninae species (Platyhelminthes: Continenticola) from Southern Brazil based on an integrative taxonomic approach. Journal of Natural History 50: 787-815, DOI: 10.1080/00222933.2015.1084057, URL: http://dx.doi.org/10.1080/00222933.2015.1084057
DOI: 10.15468/pcwjp4
title: New records of Nuuanuidae (Crustacea: Amphipoda: Senticaudata) from Korean waters, with descriptions of one new genus and two new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Jung, Tae Won, Yoon, Seong Myeong (2015): New records of Nuuanuidae (Crustacea: Amphipoda: Senticaudata) from Korean waters, with descriptions of one new genus and two new species. Journal of Natural History 50: 1045-1072, DOI: 10.1080/00222933.2015.1103914, URL: http://dx.doi.org/10.1080/00222933.2015.1103914
DOI: 10.15468/64gbk4
title: The flower bug genus Orius Wolff, 1811 (Hemiptera: Heteroptera: Anthocoridae: Oriini) of Thailand

description: This dataset contains the digitized treatments in Plazi based on the original journal article Yamada, Kazutaka, Yasunaga, Tomohide, Artchawakom, Taksin (2015): The flower bug genus Orius Wolff, 1811 (Hemiptera: Heteroptera: Anthocoridae: Oriini) of Thailand. Journal of Natural History 50: 1103-1157, DOI: 10.1080/00222933.2015.1104393
DOI: 10.15468/qz3xga
title: Three new species of gall-forming psyllids (Hemiptera: Psylloidea) from Papua New Guinea, with new records and notes on related species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Percy, Diana M., Butterill, Philip T., Malenovský, Igor (2015): Three new species of gall-forming psyllids (Hemiptera: Psylloidea) from Papua New Guinea, with new records and notes on related species. Journal of Natural History 50: 1073-1101, DOI: 10.1080/00222933.2015.1104394
DOI: 10.15468/ewgmgg
title: The genus Thoradonta in Thailand (Orthoptera: Tetrigidae: Scelimeninae) with description of two new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zha, Ling-Sheng, Wen, Ting-Chi, Kang, Ji-Chuan, Hyde, Kevin D. (2015): The genus Thoradonta in Thailand (Orthoptera: Tetrigidae: Scelimeninae) with description of two new species. Journal of Natural History 50: 833-845, DOI: 10.1080/00222933.2015.1091101
DOI: 10.15468/mb8p8q
title: A new species and the phylogeny of the South American genus Gromphas Brullé, 1837 (Coleoptera: Scarabaeidae: Scarabaeinae: Phanaeini)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Cupello, Mario, Vaz-de-Mello, Fernando Z. (2015): A new species and the phylogeny of the South American genus Gromphas Brullé, 1837 (Coleoptera: Scarabaeidae: Scarabaeinae: Phanaeini). Journal of Natural History 50: 943-969, DOI: 10.1080/00222933.2015.1091099
DOI: 10.21227/69j4-dk58
title: Intelligent Service Orchestration in Mobile Edge Cloud Networks: KPIs FROM NETWORK ELEMENTS

description: Measurements collected from pods M1, S1 and S2 and links L1, L2, L3 and L4.
DOI: 10.15468/dgbtn4
title: A gall mite, Aceria rhodiolae (Acari: Eriophyidae), altering the phytochemistry of a medicinal plant, Rhodiola rosea (Crassulaceae), in the Canadian Arctic

description: This dataset contains the digitized treatments in Plazi based on the original journal article Beaulieu, F., Cuerrier, A., Filion, V. J., Saleem, A., Arnason, J. T. (2015): A gall mite, Aceria rhodiolae (Acari: Eriophyidae), altering the phytochemistry of a medicinal plant, Rhodiola rosea (Crassulaceae), in the Canadian Arctic. Journal of Natural History 50: 1237-1263, DOI: 10.1080/00222933.2015.1103910, URL: http://dx.doi.org/10.1080/00222933.2015.1103910
DOI: 10.5519/qd.0rir836b
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.15468/gqkfw9
title: Three new species and a new record of tenuipalpid mites (Acari: Tenuipalpidae) from Hungary

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ueckermann, Edward A., Ripka, Géza (2015): Three new species and a new record of tenuipalpid mites (Acari: Tenuipalpidae) from Hungary. Journal of Natural History 50: 989-1015, DOI: 10.1080/00222933.2015.1091104, URL: http://dx.doi.org/10.1080/00222933.2015.1091104
DOI: 10.5066/p9nm2php
title: Data on well characteristics and well-pair characteristics for estimating high groundwater levels in selected areas of Massachusetts

description: A method to estimate the probable high groundwater level in Massachusetts, excluding Cape Cod and the Islands was developed in 1981. The method, commonly called the "Frimpter Method," uses a groundwater measurement from a test site, groundwater measurements from an index well, and a distribution of high groundwater levels from wells in similar geologic and topographic settings. Historic groundwater-level statistics (maximum and 90th percentile groundwater level and annual groundwater-level range) were calculated for 153 wells in Massachusetts and nearby States to update the method inputs. In addition, as part of a comparison of approaches to determine the best index well for a given site, a multiple linear regression equation was developed to explore the relations between predictor variables and the correlations, with the goal of predicting the most highly correlated index well for each test site. This data release includes the calculated groundwater level statistics, the ancillary data used in the regression model, comparison of the data among well pairs, and predictions of the correlations among all well pairs.
DOI: 10.21227/ygmk-g821
title: Intelligent Service Orchestration in Mobile Edge Cloud Networks: KPIs FROM NETWORK ELEMENTS

description: Measurements collected from pods M1, S1 and S2 and links L1, L2, L3 and L4.
DOI: 10.5517/ccdc.csd.cc24pb8g
title: CCDC 1986705: Experimental Crystal Structure Determination

description: Related Article: Edi Topić, Ivana Landripet, Maëlle Duguin, Jana Pisk, Ivica Đilović, Višnja Vrdoljak, Mirta Rubčić|2020|New J.Chem.|44|13357|doi:10.1039/D0NJ03106B
DOI: 10.5517/ccdc.csd.cc24pb9h
title: CCDC 1986706: Experimental Crystal Structure Determination

description: Related Article: Edi Topić, Ivana Landripet, Maëlle Duguin, Jana Pisk, Ivica Đilović, Višnja Vrdoljak, Mirta Rubčić|2020|New J.Chem.|44|13357|doi:10.1039/D0NJ03106B
DOI: 10.5517/ccdc.csd.cc24pbck
title: CCDC 1986708: Experimental Crystal Structure Determination

description: Related Article: Edi Topić, Ivana Landripet, Maëlle Duguin, Jana Pisk, Ivica Đilović, Višnja Vrdoljak, Mirta Rubčić|2020|New J.Chem.|44|13357|doi:10.1039/D0NJ03106B
DOI: 10.5517/ccdc.csd.cc254ssx
title: CCDC 2000609: Experimental Crystal Structure Determination

description: Related Article: Kangcai Wang, Tianlin Liu, Yunhe Jin, Shi Huang, Natan Petrutik, Daniel Shem-Tov, Qi-Long Yan, Michael Gozin, Qinghua Zhang|2020|J.Mater.Chem.A|8|14661|doi:10.1039/D0TA04620E
DOI: 10.5517/ccdc.csd.cc254vt0
title: CCDC 2000672: Experimental Crystal Structure Determination

description: Related Article: Yi-Jun Wang, Shen-Yu Wang, Yue Zhang, Bin Xia, Quan-Wen Li, Qing-Lun Wang, Yue Ma|2020|CrystEngComm|22|5162|doi:10.1039/D0CE00725K
DOI: 10.5517/ccdc.csd.cc254vv1
title: CCDC 2000673: Experimental Crystal Structure Determination

description: Related Article: Yi-Jun Wang, Shen-Yu Wang, Yue Zhang, Bin Xia, Quan-Wen Li, Qing-Lun Wang, Yue Ma|2020|CrystEngComm|22|5162|doi:10.1039/D0CE00725K
DOI: 10.5517/ccdc.csd.cc257yw8
title: CCDC 2003650: Experimental Crystal Structure Determination

description: Related Article: Hui Liu, Xiao-Zhi He, Mi-Yan Feng, Yuan-Zeng, Tyler J. Rauwolf, Li-Dong Shao, Wei Ni, Hui Yan, John A. Porco, Xiao-Jiang Hao, Xu-Jie Qin, Hai-Yang Liu|2020|Bioorg.Chem.|103|104127|doi:10.1016/j.bioorg.2020.104127
DOI: 10.5517/ccdc.csd.cc258tbm
title: CCDC 2004470: Experimental Crystal Structure Determination

description: Related Article: Min-Jing Cheng,  Li-Ping Zhong,  Chen-Chen Gu,  Xu-Jiang Zhu,  Bo Chen,  Jun-Shan Liu,  Lei Wang,  Wen-Cai Ye,  Chuang-Chuang Li|2020|J.Am.Chem.Soc.|142|12602|doi:10.1021/jacs.0c05479
DOI: 10.5517/ccdc.csd.cc258vbn
title: CCDC 2004501: Experimental Crystal Structure Determination

description: Related Article: Min-Jing Cheng,  Li-Ping Zhong,  Chen-Chen Gu,  Xu-Jiang Zhu,  Bo Chen,  Jun-Shan Liu,  Lei Wang,  Wen-Cai Ye,  Chuang-Chuang Li|2020|J.Am.Chem.Soc.|142|12602|doi:10.1021/jacs.0c05479
DOI: 10.5517/ccdc.csd.cc258vdq
title: CCDC 2004503: Experimental Crystal Structure Determination

description: Related Article: Min-Jing Cheng,  Li-Ping Zhong,  Chen-Chen Gu,  Xu-Jiang Zhu,  Bo Chen,  Jun-Shan Liu,  Lei Wang,  Wen-Cai Ye,  Chuang-Chuang Li|2020|J.Am.Chem.Soc.|142|12602|doi:10.1021/jacs.0c05479
DOI: 10.5517/ccdc.csd.cc258vfr
title: CCDC 2004504: Experimental Crystal Structure Determination

description: Related Article: Min-Jing Cheng,  Li-Ping Zhong,  Chen-Chen Gu,  Xu-Jiang Zhu,  Bo Chen,  Jun-Shan Liu,  Lei Wang,  Wen-Cai Ye,  Chuang-Chuang Li|2020|J.Am.Chem.Soc.|142|12602|doi:10.1021/jacs.0c05479
DOI: 10.5517/ccdc.csd.cc25914p
title: CCDC 2004681: Experimental Crystal Structure Determination

description: Related Article: Qin Zhang, Jun Shu, Yajun Zhang, Zhigang Xu, Jian Yue, Xiaoqiang Liu, Bin Xu, Zhongzhu Chen, Weidong Jiang|2020|Dalton Trans.|49|10261|doi:10.1039/D0DT01823F
DOI: 10.5517/ccdc.csd.cc25915q
title: CCDC 2004682: Experimental Crystal Structure Determination

description: Related Article: Qin Zhang, Jun Shu, Yajun Zhang, Zhigang Xu, Jian Yue, Xiaoqiang Liu, Bin Xu, Zhongzhu Chen, Weidong Jiang|2020|Dalton Trans.|49|10261|doi:10.1039/D0DT01823F
DOI: 10.5517/ccdc.csd.cc25916r
title: CCDC 2004683: Experimental Crystal Structure Determination

description: Related Article: Qin Zhang, Jun Shu, Yajun Zhang, Zhigang Xu, Jian Yue, Xiaoqiang Liu, Bin Xu, Zhongzhu Chen, Weidong Jiang|2020|Dalton Trans.|49|10261|doi:10.1039/D0DT01823F
DOI: 10.5517/ccdc.csd.cc25917s
title: CCDC 2004684: Experimental Crystal Structure Determination

description: Related Article: Qin Zhang, Jun Shu, Yajun Zhang, Zhigang Xu, Jian Yue, Xiaoqiang Liu, Bin Xu, Zhongzhu Chen, Weidong Jiang|2020|Dalton Trans.|49|10261|doi:10.1039/D0DT01823F
DOI: 10.5517/ccdc.csd.cc25918t
title: CCDC 2004685: Experimental Crystal Structure Determination

description: Related Article: Qin Zhang, Jun Shu, Yajun Zhang, Zhigang Xu, Jian Yue, Xiaoqiang Liu, Bin Xu, Zhongzhu Chen, Weidong Jiang|2020|Dalton Trans.|49|10261|doi:10.1039/D0DT01823F
DOI: 10.5517/ccdc.csd.cc251ymt
title: CCDC 1997876: Experimental Crystal Structure Determination

description: Related Article: Zubair Ahmed, Kuldeep Mahiya, Khalid Iftikhar|2020|New J.Chem.|44|13172|doi:10.1039/D0NJ02059A
DOI: 10.5517/ccdc.csd.cc24tl7t
title: CCDC 1990796: Experimental Crystal Structure Determination

description: Related Article: Dibbendu Ghosh,  Soumen Sinhababu,  Bernard D. Santarsiero,  Neal P. Mankad|2020|J.Am.Chem.Soc.|142|12635|doi:10.1021/jacs.0c03343
DOI: 10.5517/ccdc.csd.cc25bp5d
title: CCDC 2006263: Experimental Crystal Structure Determination

description: Related Article: Oumeria Kourat, Ahmed Djafri, Nadia Benhalima, Youcef Megrouss, Nour El Houda Belkafouf, Rachida Rahmani, Jean-Claude Daran, Ayada Djafri, Abdelkader Chouaih|2020|J.Mol.Struct.|1222|128952|doi:10.1016/j.molstruc.2020.128952
DOI: 10.25345/c51x85
title: MassIVE MSV000085971 - Acapulco Bay Aspergillus sp ACA9 GNPS_2
title: This samples are from an Aspergillus sp fungi obtained from Acapulco bay Mexico to know the chemical composition of this fungus cultivated under different conditions
DOI: 10.6073/pasta/08d9260f81d1fa492cc9d02a6481a2f3
title: SBC LTER: pH time series: Water-sample pH and CO2 system chemistry, ongoing since 2011

description: Data are a time-series of pH and carbonate chemistry in manually-collected sea water samples from sixteen near-shore locations and 20 locations along the Santa Barbara Channel, California, USA, and intended to benchmark data from moored pH instruments. Data collection began in June 2011 and is ongoing. Time-series for pH sensors deployed in the field (e.g., SeaFET) are available elsewhere. Discrete seawater samples were collected by hand or using a Niskin bottle. In the laboratory, samples were analyzed for pH (total scale) and total alkalinity. Two parameters were used to calculate the full suite of carbonate chemistry parameters using the CO2calc algorithms. Program outputs are included for laboratory conditions as input, and adjusted for situ temperature. See Methods for more information, e.g., Lunden, et al. Data were collected by a consortium of research groups with the intent to leverage their collective assets and expertise. These groups (and sponsors) include Santa Barbara Coastal LTER (NSF), OMEGAS Project (NSF), Passow Lab (Calif. State Water Board), Hofmann Lab (NSF, CINMS, US NPS).
DOI: 10.5281/zenodo.3990501
title: Data and Materials for Hector's participation in RCMIP II

description: Data published by Vega-Westhoff et al. 2019 (https://doi.org/10.1029/2018EF001082) for Hector 2.0.0 with no SLR comparison data.
DOI: 10.5281/zenodo.3990500
title: Data and Materials for Hector's participation in RCMIP II

description: Data published by Vega-Westhoff et al. 2019 (https://doi.org/10.1029/2018EF001082) for Hector 2.0.0 with no SLR comparison data.
DOI: 10.5066/p9kz3lcv
title: Topobathymetric Model of Northern California, 1986 to 2019

description: To support the modeling of storm-induced flooding, the USGS Coastal National Elevation Database (CoNED) Applications Project has created an integrated 1-meter topobathymetric digital elevation model (TBDEM) for the Northern California Coast. High-resolution coastal elevation data is required to identify flood, hurricane, and sea-level rise inundation hazard zones and other earth science applications, such as the development of sediment transport and storm surge models. This TBDEM consists of the best available multi-source topographic and bathymetric elevation data for the onshore and offshore areas in Northern California. The Northern California TBDEM integrates 26 different topographic and bathymetric data sources including LiDAR point clouds, hydrographic surveys, single-beam acoustic surveys, and multi-beam acoustic surveys obtained from USGS, NOAA, and USACE. The topographic and bathymetric surveys were sorted and prioritized based on survey date, accuracy, spatial distribution, and point density to develop a model based on the best available elevation data. Because bathymetric data are typically referenced to tidal datums (such as Mean High Water or Mean Low Water), all tidally-referenced heights were transformed into orthometric height based on a common geoid (Geoid09) that are normally used for mapping elevation on land based on the North American Vertical Datum of 1988. Every input data source in the TBDEM has been horizontally referenced to UTM Zone 10, NSRS2007. The spatial resolution is 1-meter with the general location ranging from the Golden Gate Bridge to the Oregon border, and extending inland to an elevation of at least +10 m and offshore to the 3-nautical-mile limit of California's State Waters. The overall temporal range of the input topography and bathymetry is 1986 to 2019. The topography surveys are from 2009-2019. The bathymetry is from 1986-2019. The nearshore void zone (not covered by lidar or sonar) was filled by interpolating points from adjacent datasets.
DOI: 10.7910/dvn/whu4kc/8dgkoa
title: Football1922_2018.tab

description: :unav
DOI: 10.7910/dvn/whu4kc/jovvlq
title: Football1922_2018-1.tab

description: :unav
DOI: 10.7910/dvn/whu4kc/6kjupg
title: Football1922_2018.tab

description: :unav
DOI: 10.7910/dvn/whu4kc
title: Replication Data for: Mortality Risk Factors among National Football League Players: An Analysis using Player Career and Biometric Data

description: Long-term adverse health outcomes, particularly those associated with concussions, are of growing concern among elite athletes, especially American football players. These include chronic traumatic encephalopathy, depression, and mortality. Concussions can be difficult to diagnose, and there is mounting evidence that even sub-clinical blows, especially when they occur frequently, can also lead to adverse health outcomes. Certain player attributes such as playing style and position of play, along with on-field events such as number of tackles and sacks are likely to be strong predictors for the risk of developing adverse long-term negative health outcomes from repeated, yet mild, trauma.
DOI: 10.5519/qd.mgljodew
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4590500 records)
DOI: 10.6073/pasta/353aa34bedfd68800c12275633811341
title: Dissolved silica time series for Beaverdam Reservoir, Carvins Cove Reservoir, Claytor Lake, Falling Creek Reservoir, Gatewood Reservoir, Smith Mountain Lake, and Spring Hollow Reservoir in southwestern Virginia, USA during 2014

description: Water column dissolved silica (SiO2) was analyzed during 2014 in seven freshwater reservoirs in southwestern Virginia (VA), USA. These reservoirs are: Beaverdam Reservoir (Vinton, VA), Carvins Cove Reservoir (Roanoke, VA), Claytor Lake (Pulaski, VA), Falling Creek Reservoir (Vinton, VA), Gatewood Reservoir (Pulaski, VA), Smith Mountain Lake (Bedford, VA), and Spring Hollow Reservoir (Salem, VA). Beaverdam, Carvins Cove, Falling Creek, and Spring Hollow Reservoirs are owned and operated by the Western Virginia Water Authority as primary or secondary drinking water sources for Roanoke, Virginia; Gatewood Reservoir is a drinking water source for the Town of Pulaski, Virginia; and Smith Mountain Lake is jointly treated by Bedford Regional Water Authority and Western Virginia Water Authority as a drinking water source for Franklin County, Virginia. Claytor Lake is utilized for hydroelectric power generation by Appalachian Power Company. The dataset consists of depth profiles of dissolved silica samples generally measured at the deepest site of each reservoir adjacent to the dam and an inflow stream into Falling Creek Reservoir. The water column samples were collected approximately fortnightly from April-June, weekly from June-July and sporadically from July-October at Beaverdam Reservoir; weekly from April-July and fortnightly from July-November at Carvins Cove Reservoir; sporadically from April-August at Claytor Lake; weekly from April-November at Falling Creek Reservoir; fortnightly from April-October at Gatewood Reservoir; fortnightly from May-November at Spring Hollow Reservoir; and fortnightly from May-October at Smith Mountain Lake.
DOI: 10.5281/zenodo.3990536
title: Repository - Ganymede's far-ultraviolet reflectance: constraining impurities in the surface ice

description: This repository contains the modeled spectra and material optical properties used to produce Figures 3-11 in the main text, and the supplementary figures.
DOI: 10.5281/zenodo.3990535
title: Repository - Ganymede's far-ultraviolet reflectance: constraining impurities in the surface ice

description: This repository contains the modeled spectra and material optical properties used to produce Figures 3-11 in the main text, and the supplementary figures.
DOI: 10.5517/ccdc.csd.cc25df56
title: CCDC 2007937: Experimental Crystal Structure Determination

description: Related Article: Federica Battistin, Alessio Vidal, Gabriele Balducci, Enzo Alessio|2020|RSC Advances|10|26717|doi:10.1039/D0RA05898J
DOI: 10.5517/ccdc.csd.cc1zf13k
title: CCDC 1829778: Experimental Crystal Structure Determination

description: Related Article: Federica Battistin, Alessio Vidal, Gabriele Balducci, Enzo Alessio|2020|RSC Advances|10|26717|doi:10.1039/D0RA05898J
DOI: 10.5517/ccdc.csd.cc1zf14l
title: CCDC 1829779: Experimental Crystal Structure Determination

description: Related Article: Federica Battistin, Alessio Vidal, Gabriele Balducci, Enzo Alessio|2020|RSC Advances|10|26717|doi:10.1039/D0RA05898J
DOI: 10.5517/ccdc.csd.cc2558tg
title: CCDC 2001075: Experimental Crystal Structure Determination

description: Related Article: Nirmalya Podder, Sukanta Mandal|2020|New J.Chem.|44|12793|doi:10.1039/D0NJ02558E
DOI: 10.5517/ccdc.csd.cc2558vh
title: CCDC 2001076: Experimental Crystal Structure Determination

description: Related Article: Nirmalya Podder, Sukanta Mandal|2020|New J.Chem.|44|12793|doi:10.1039/D0NJ02558E
DOI: 10.5517/ccdc.csd.cc2558wj
title: CCDC 2001077: Experimental Crystal Structure Determination

description: Related Article: Nirmalya Podder, Sukanta Mandal|2020|New J.Chem.|44|12793|doi:10.1039/D0NJ02558E