cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9747647.v1
title: capture masses

description: Captures masses of red knot and ruddy turnstone captured in Delaware, USA during spring stopover 1997-2018. <br>year - year in YYYYday - capture day (days since May 5)species - REKN (red knot) or RUTU (ruddy turnstone)mass - mass in grams<br>Data collected by Delaware Species Conservation and Research Program, Delaware Division of Fish & Wildlife, Delaware Department of Natural Resources and Environmental Control.
DOI: 10.6084/m9.figshare.9750569.v7
title: Reported reasons for Facebook usage: a study of 11587 users worldwide

description: <b>Marta Kowal<sup>1*</sup>, Piotr Sorokowski<sup>1</sup>, Agnieszka Sorokowska<sup>1</sup>, Małgorzata Dobrowolska<sup>2</sup>, Katarzyna Pisanski<sup>1</sup>, Anna Oleszkiewicz<sup>1, 51</sup>, Toivo Aavik<sup>3</sup>, Grace Akello<sup>5</sup>, Charlotte Alm<sup>6</sup>, Naumana Amjad<sup>7</sup>, Afifa Anjum<sup>7</sup>, Kelly Asao<sup>8</sup>, Chiemezie S. Atama<sup>9</sup>, Derya Atamtürk Duyar<sup>10</sup>, Richard Ayebare<sup>11</sup>, Mons Bendixen<sup>12</sup>, Aicha Bensafia<sup>15</sup>, Boris Bizumic<sup>14</sup>, Mahmoud Boussena<sup>15</sup>, David M. Buss<sup>8</sup>, Marina Butovskaya<sup>16</sup>, Seda Can<sup>17</sup>, Katarzyna Cantarero<sup>18</sup>, Antonin Carrier<sup>19</sup>, Hakan Cetinkaya<sup>17</sup>, Daniel Conroy-Beam<sup>20</sup>, Marco A. Correa Varella<sup>21</sup>, Rosa M. Cueto<sup>22</sup>, Marcin Czub<sup>1</sup>, Daria Dronova<sup>16</sup>, Seda Dural<sup>17</sup>, Izzet Duyar<sup>10</sup>, Berna Ertugrul<sup>10</sup>, Agustín Espinosa<sup>22</sup>, Ignacio Estevan<sup>23</sup>, Carla S. Esteves<sup>24</sup>, Tomasz Frąckowiak<sup>1</sup>, Jorge Contreras-Graduño<sup>25</sup>, Farida Guemaz<sup>13</sup>, Ivana Hromatko<sup>28</sup>, Chin-Ming Hui<sup>29</sup>, Herak Iskra<sup>19</sup>, Jas L. Jaafar<sup>30</sup>, Feng Jiang<sup>31</sup>, Konstantinos Kafetsios<sup>32</sup>, Tina Kavcic<sup>33</sup>, Leif Edward Ottesen Kennair<sup>12</sup>, Nicolas Kervyn<sup>19</sup>, Nils C. Köbis<sup>34</sup>, András Láng<sup>36</sup>, Georgina R. Lennard<sup>14</sup>, Ernesto León<sup>22</sup>, Torun Lindholm<sup>6</sup>, Giulia Lopez<sup>37</sup>, Mohammad Madallh Alhabahba<sup>38</sup>, Alvaro Mailhos<sup>23</sup>, Zoi Manesi<sup>34</sup>, Rocio Martinez<sup>39</sup>, Sarah L. McKerchar<sup>14</sup>, Norbert Meskó<sup>36</sup>, Girishwar Misra<sup>40</sup>, Hoang Moc Lan<sup>41</sup>, Conal Monaghan<sup>14</sup>, Emanuel C. Mora<sup>42</sup>, Alba Moya-Garofano<sup>39</sup>, Bojan Musil<sup>27</sup>, Jean C. Natividade<sup>43</sup>, George Nizharadze<sup>44</sup>, Elisabeth Oberzaucher<sup>45</sup>, Mohd S. Omar Fauzee<sup>46</sup>, Ernest Onyishi<sup>9</sup>, Baris Özener<sup>10</sup>, Ariela F. Pagani<sup>37</sup>, Vilmante Pakalniskiene<sup>47</sup>, Miriam Parise<sup>37</sup>, Farid Pazhoohi<sup>48</sup>, Mariia Perun<sup>49</sup>, Annette Pisanski<sup>42, 50</sup>, Nejc Plohl<sup>27</sup>, Camelia Popa<sup>21</sup>, Pavol Prokop<sup>52, 53</sup>, Muhammad Rizwan<sup>54</sup>, Mario Sainz<sup>4</sup>, Svjetlana Salkičević<sup>28</sup>, Ruta Sargautyte<sup>47</sup>, Susanne Schmehl<sup>45</sup>, Oksana Senyk<sup>49</sup>, Rizwana Shaikh<sup>55</sup>, Shivantika Sharad<sup>56</sup>, Franco Simonetti<sup>57</sup>, Meri Tadinac<sup>28</sup>, Truong Thi Khanh Ha<sup>41</sup>, Trinh Thi Linh<sup>41</sup>, Karina Ugalde González<sup>58</sup>, Nguyen Van Luot<sup>41</sup>, Christin-</b> <b>Melanie Vauclair<sup>24</sup>, Luis D. Vega Araya<sup>58</sup>, Gyesook Yoo<sup>60</sup>, Stanislava Yordanova Stoyanova<sup>26</sup>, Zainab F. Zadeh<sup>59</sup>, Maja Zupančič<sup>35</sup>.</b>
DOI: 10.6084/m9.figshare.9747479
title: Metadata record for: CommonMind Consortium provides transcriptomic and epigenomic data for Schizophrenia and Bipolar Disorder

description: This dataset contains key characteristics about the data described in the Data Descriptor CommonMind Consortium provides transcriptomic and epigenomic data for Schizophrenia and Bipolar Disorder. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format<br><br>Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.6084/m9.figshare.9747473
title: Metabolite BridgeDb ID Mapping Database (20190829)

description: BridgeDb ID mapping database for metabolites, using HMDB 4.0 (Release of 16 Jan. 2019), ChEBI 178 (Release of 01 Aug 2019), and Wikidata (29 Aug 2019) as data sources.<br>Quality control was performed with BridgeDb (2.3.3).* Small update to InchiKey mappings: only saving mappings as is, without quotation marks ("") .
DOI: 10.6084/m9.figshare.9747464
title: targets of 4,9-diCDOA obtained from PharmMapper Server.csv

description: targets of 4,9-diCDOA obtained from PharmMapper Server
DOI: 10.6084/m9.figshare.9747479.v2
title: Metadata record for: CommonMind Consortium provides transcriptomic and epigenomic data for Schizophrenia and Bipolar Disorder

description: This dataset contains key characteristics about the data described in the Data Descriptor CommonMind Consortium provides transcriptomic and epigenomic data for Schizophrenia and Bipolar Disorder. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format<br><br>Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.6084/m9.figshare.9747455
title: Climate drives loss of phylogenetic diversity

description: Data used for the paper "Climate drives loss of phylogenetic diversity in a grassland community."
DOI: 10.6084/m9.figshare.9747479.v1
title: Metadata record for: CommonMind Consortium provides transcriptomic and epigenomic data for Schizophrenia and Bipolar Disorder

description: This dataset contains key characteristics about the data described in the Data Descriptor CommonMind Consortium provides transcriptomic and epigenomic data for Schizophrenia and Bipolar Disorder. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.9750569.v9
title: Reasons for Facebook usage: data from 46 countries

description: <b>Marta Kowal<sup>1*</sup>, Piotr Sorokowski<sup>1</sup>, Agnieszka Sorokowska<sup>1</sup>, Małgorzata Dobrowolska<sup>2</sup>, Katarzyna Pisanski<sup>1</sup>, Anna Oleszkiewicz<sup>1, 51</sup>, Toivo Aavik<sup>3</sup>, Grace Akello<sup>5</sup>, Charlotte Alm<sup>6</sup>, Naumana Amjad<sup>7</sup>, Afifa Anjum<sup>7</sup>, Kelly Asao<sup>8</sup>, Chiemezie S. Atama<sup>9</sup>, Derya Atamtürk Duyar<sup>10</sup>, Richard Ayebare<sup>11</sup>, Mons Bendixen<sup>12</sup>, Aicha Bensafia<sup>15</sup>, Boris Bizumic<sup>14</sup>, Mahmoud Boussena<sup>15</sup>, David M. Buss<sup>8</sup>, Marina Butovskaya<sup>16</sup>, Seda Can<sup>17</sup>, Katarzyna Cantarero<sup>18</sup>, Antonin Carrier<sup>19</sup>, Hakan Cetinkaya<sup>17</sup>, Daniel Conroy-Beam<sup>20</sup>, Marco A. Correa Varella<sup>21</sup>, Rosa M. Cueto<sup>22</sup>, Marcin Czub<sup>1</sup>, Daria Dronova<sup>16</sup>, Seda Dural<sup>17</sup>, Izzet Duyar<sup>10</sup>, Berna Ertugrul<sup>10</sup>, Agustín Espinosa<sup>22</sup>, Ignacio Estevan<sup>23</sup>, Carla S. Esteves<sup>24</sup>, Tomasz Frąckowiak<sup>1</sup>, Jorge Contreras-Graduño<sup>25</sup>, Farida Guemaz<sup>13</sup>, Ivana Hromatko<sup>28</sup>, Chin-Ming Hui<sup>29</sup>, Herak Iskra<sup>19</sup>, Jas L. Jaafar<sup>30</sup>, Feng Jiang<sup>31</sup>, Konstantinos Kafetsios<sup>32</sup>, Tina Kavcic<sup>33</sup>, Leif Edward Ottesen Kennair<sup>12</sup>, Nicolas Kervyn<sup>19</sup>, Nils C. Köbis<sup>34</sup>, András Láng<sup>36</sup>, Georgina R. Lennard<sup>14</sup>, Ernesto León<sup>22</sup>, Torun Lindholm<sup>6</sup>, Giulia Lopez<sup>37</sup>, Mohammad Madallh Alhabahba<sup>38</sup>, Alvaro Mailhos<sup>23</sup>, Zoi Manesi<sup>34</sup>, Rocio Martinez<sup>39</sup>, Sarah L. McKerchar<sup>14</sup>, Norbert Meskó<sup>36</sup>, Girishwar Misra<sup>40</sup>, Hoang Moc Lan<sup>41</sup>, Conal Monaghan<sup>14</sup>, Emanuel C. Mora<sup>42</sup>, Alba Moya-Garofano<sup>39</sup>, Bojan Musil<sup>27</sup>, Jean C. Natividade<sup>43</sup>, George Nizharadze<sup>44</sup>, Elisabeth Oberzaucher<sup>45</sup>, Mohd S. Omar Fauzee<sup>46</sup>, Ernest Onyishi<sup>9</sup>, Baris Özener<sup>10</sup>, Ariela F. Pagani<sup>37</sup>, Vilmante Pakalniskiene<sup>47</sup>, Miriam Parise<sup>37</sup>, Farid Pazhoohi<sup>48</sup>, Mariia Perun<sup>49</sup>, Annette Pisanski<sup>42, 50</sup>, Nejc Plohl<sup>27</sup>, Camelia Popa<sup>21</sup>, Pavol Prokop<sup>52, 53</sup>, Muhammad Rizwan<sup>54</sup>, Mario Sainz<sup>4</sup>, Svjetlana Salkičević<sup>28</sup>, Ruta Sargautyte<sup>47</sup>, Susanne Schmehl<sup>45</sup>, Oksana Senyk<sup>49</sup>, Rizwana Shaikh<sup>55</sup>, Shivantika Sharad<sup>56</sup>, Franco Simonetti<sup>57</sup>, Meri Tadinac<sup>28</sup>, Truong Thi Khanh Ha<sup>41</sup>, Trinh Thi Linh<sup>41</sup>, Karina Ugalde González<sup>58</sup>, Nguyen Van Luot<sup>41</sup>, Christin-</b> <b>Melanie Vauclair<sup>24</sup>, Luis D. Vega Araya<sup>58</sup>, Gyesook Yoo<sup>60</sup>, Stanislava Yordanova Stoyanova<sup>26</sup>, Zainab F. Zadeh<sup>59</sup>, Maja Zupančič<sup>35</sup>.</b>
DOI: 10.6084/m9.figshare.9747371
title: Supplementary Material for: Pruritus and Malodour in Patients with Hidradenitis Suppurativa: Impact on Quality of Life and Clinical Features Associated with Symptom Severity

description: <b><i>Background:</i></b> Patients with hidradenitis suppurativa (HS) suffer from symptoms such as pruritus and malodour which can significantly impair their quality of life. <b><i>Objectives:</i></b> (1) To analyse the impact of pruritus and malodour on the quality of life of patients with HS and (2) to explore the potential association between clinical features and the severity of these symptoms. <b><i>Patients and Methods:</i></b> This is a cross-sectional study. The Numeric Rating Scale (NRS) was used to assess pruritus and malodour. Quality of life was assessed by means of the Dermatology Life Quality Index (DLQI). <b><i>Results:</i></b> Two hundred and thirty-three patients were included in the study. Both pruritus and malodour positively correlated with worse quality of life (<i>p</i> &lt; 0.05). Pruritus intensity was associated with the number of regions affected by HS, female sex, the intensity of suppuration, and the presence of comorbid Crohn’s disease. Statin use was associated with lower levels of pruritus. Malodour intensity was associated with higher body mass index, disease duration, the number of regions affected, Hurley stage, and intensity of suppuration. <b><i>Conclusions:</i></b> The results of our study show that pruritus and malodour are key symptoms in patients with HS which have a great impact on their quality of life. We have identified clinical features potentially associated with the intensity of these symptoms which could be useful to identify higher-risk patients and may influence treatment decisions.
DOI: 10.6084/m9.figshare.9747275
title: targets of 3,4-diCQA obtained from PharmMapper Server.csv

description: targets of 3,4-diCQA obtained from PharmMapper Server
DOI: 10.6084/m9.figshare.9747260
title: targets of 9-CDOA obtained from PharmMapper.csv

description: targets of 9-CDOA obtained from PharmMapper
DOI: 10.6084/m9.figshare.9747269
title: targets of Caffeic acid obtained from PharmMapper Server.csv

description: targets of Caffeic acid obtained from PharmMapper Server
DOI: 10.6084/m9.figshare.9747254
title: targets of 4-CDOA obtained from PharmMapper.csv

description: targets of 4-CDOA obtained from PharmMapper
DOI: 10.6084/m9.figshare.9747260.v1
title: targets of 9-CDOA obtained from PharmMapper.csv

description: targets of 9-CDOA obtained from PharmMapper
DOI: 10.6084/m9.figshare.9747275.v2
title: targets of 3,4-diCQA obtained from PharmMapper Server.csv

description: targets of 3,4-diCQA obtained from PharmMapper Server
DOI: 10.6084/m9.figshare.9747248
title: targets of 3-CQA obtained from PharmMapper.csv

description: targets of 3-CQA obtained from PharmMapper
DOI: 10.6084/m9.figshare.9747254.v1
title: targets of 4-CDOA obtained from PharmMapper.csv

description: targets of 4-CDOA obtained from PharmMapper
DOI: 10.6084/m9.figshare.9747236
title: targets of A-7-O-G obtained from PharmMapper.csv

description: targets of A-7-O-G obtained from PharmMapper
DOI: 10.6084/m9.figshare.9747245
title: targets of 4,5-diCQA obtained from PharmMapper.csv

description: targets of 4,5-diCQA obtained from PharmMapper
DOI: 10.6084/m9.figshare.9747236.v1
title: targets of A-7-O-G obtained from PharmMapper.csv

description: targets of A-7-O-G obtained from PharmMapper
DOI: 10.6084/m9.figshare.9747245.v1
title: targets of 4,5-diCQA obtained from PharmMapper.csv

description: targets of 4,5-diCQA obtained from PharmMapper
DOI: 10.6084/m9.figshare.9747269.v2
title: targets of Caffeic acid obtained from PharmMapper Server.csv

description: targets of Caffeic acid obtained from PharmMapper Server
DOI: 10.6084/m9.figshare.9747197
title: targets of Erigoster B obtained from PharmMapper.csv

description: targets of Erigoster B obtained from PharmMapper
DOI: 10.6084/m9.figshare.9747221
title: targets of 4-CQA obtained from PharmMapper.csv

description: targets of 4-CQA obtained from PharmMapper
DOI: 10.6084/m9.figshare.9747248.v1
title: targets of 3-CQA obtained from PharmMapper.csv

description: targets of 3-CQA obtained from PharmMapper
DOI: 10.6084/m9.figshare.9747269.v1
title: targets of Caffeic acid obtained from PharmMapper.csv

description: targets of Caffeic acid obtained from PharmMapper
DOI: 10.6084/m9.figshare.9747197.v1
title: targets of Erigoster B obtained from PharmMapper.csv

description: targets of Erigoster B obtained from PharmMapper
DOI: 10.6084/m9.figshare.9747122
title: targets of 1,3-diCQA obtained from PharmMapper.csv

description: targets of 1,3-diCQA obtained from PharmMapper
DOI: 10.6084/m9.figshare.9747149
title: targets of 5-CQA obtained from PharmMapper.csv

description: targets of 5-CQA obtained from PharmMapper
DOI: 10.6084/m9.figshare.9747173
title: targets of Scutellarin obtained from PharmMapper.csv

description: targets of Scutellarin obtained from PharmMapper
DOI: 10.6084/m9.figshare.9747221.v1
title: targets of 4-CQA obtained from PharmMapper.csv

description: targets of 4-CQA obtained from PharmMapper
DOI: 10.6084/m9.figshare.9747173.v1
title: targets of Scutellarin obtained from PharmMapper.csv

description: targets of Scutellarin obtained from PharmMapper
DOI: 10.6084/m9.figshare.9747095
title: targets of 3,5-diCQA obtained from PharmMapper.csv

description: targets of 3,5-diCQA obtained from PharmMapper
DOI: 10.6084/m9.figshare.9747101
title: targets of 3,4-diCDOA obtained from PharmMapper.csv

description: targets of 3,4-diCDOA obtained from PharmMapper
DOI: 10.6084/m9.figshare.9747122.v1
title: targets of 1,3-diCQA obtained from PharmMapper.csv

description: targets of 1,3-diCQA obtained from PharmMapper
DOI: 10.6084/m9.figshare.9747149.v1
title: targets of 5-CQA obtained from PharmMapper.csv

description: targets of 5-CQA obtained from PharmMapper
DOI: 10.6084/m9.figshare.9747152
title: targets of 3-CDOA obtained from PharmMapper.csv

description: targets of 3-CDOA obtained from PharmMapper
DOI: 10.6084/m9.figshare.9747101.v1
title: targets of 3,4-diCDOA obtained from PharmMapper.csv

description: targets of 3,4-diCDOA obtained from PharmMapper
DOI: 10.6084/m9.figshare.9747032
title: Supplementary Material for: Comparison of Activity Budgets, Diet, and Habitat Utilization between Provisioned and Wild Groups of the François’ Langur (<b><i>Trachypithecus francoisi</i></b>) in Mayanghe National Nature Reserve, China

description: The endangered François’ langur (<i>Trachypithecus francoisi</i>) is only found from southern China to northeastern Vietnam. This study evaluates behavioral differences between provisioned (Ts, 7 individuals) and wild (Tn, 13 individuals) family groups in Mayanghe National Nature Reserve, China. Scan sampling every 5 min for 12 h daily between the months of March 2013 and February 2014 was used to record behaviors in seven categories. Tn exhibited three main feeding periods daily, whereas Ts showed more variable behavioral patterns that relied on provisions. The Tn alpha male showed twice the amount of guarding behavior compared with the Ts alpha male. The proportion of each habitat type utilized differed significantly between Tn and Ts (χ<sup>2</sup><sub>[4]</sub> = 17,131.4, <i>p</i> &lt; 0.01). Additionally, dietary diversity differed between the two groups: Tn fed on 61 plant species, whereas Ts fed on 43 plant species. Tn rarely ate sweet potato and corn other than discarded remnants of human food (0.2% of their total food sources), whereas these foods represented 21.8% of Ts food sources. We compared data for the two troops to understand this species’ activities under human interference, in particular to determine whether provisioning is a suitable strategy for their conservation.
DOI: 10.6084/m9.figshare.9747095.v1
title: targets of 3,5-diCQA obtained from PharmMapper.csv

description: targets of 3,5-diCQA obtained from PharmMapper
DOI: 10.6084/m9.figshare.9746966
title: Persistent vs transient alteration of folliculogenesis and estrous cycle after neonatal vs adult exposure to Bisphenol A. Supplementary material.

description: Persistent vs transient alteration of folliculogenesis and estrous cycle after neonatal vs adult exposure to Bisphenol A. Supplementary material.
DOI: 10.6084/m9.figshare.9746966.v1
title: Persistent vs transient alteration of folliculogenesis and estrous cycle after neonatal vs adult exposure to Bisphenol A. Supplementary material.

description: Persistent vs transient alteration of folliculogenesis and estrous cycle after neonatal vs adult exposure to Bisphenol A. Supplementary material.
DOI: 10.6084/m9.figshare.9746888
title: Supplementary Information - Caloric restriction alters the hormonal profile and testicular metabolome resulting in alterations of sperm head morphology

description: Supplemental data corresponding to the submitted manuscript: Caloric Restriction alters the hormonal profile and testicular metabolome resulting in alterations of sperm head morphology
DOI: 10.6084/m9.figshare.9746888.v2
title: Supplementary Information - Caloric restriction alters the hormonal profile and testicular metabolome resulting in alterations of sperm head morphology

description: Supplemental data corresponding to the submitted manuscript: Caloric Restriction alters the hormonal profile and testicular metabolome resulting in alterations of sperm head morphology
DOI: 10.6084/m9.figshare.9746888.v1
title: Supplementary Information - Caloric restriction alters the hormonal profile and testicular metabolome resulting in alterations of sperm morphology

description: Supplemental data corresponding to the submitted manuscript: Caloric Restriction alters the hormonal profile and testicular metabolome resulting in alterations of sperm morphology
DOI: 10.5517/ccdc.csd.cc248qx2
title: CCDC 1974604: Experimental Crystal Structure Determination

description: Related Article: Rim Benali-Cherif, Radhwane Takouachet, Wahiba Falek, Nourredine Benali-Cherif, Christian Jelsch, Hocine Merazig, Meriem Hafied, El-Eulmi Bendeif, Naima Bouslah Mokhnachi, Kamel Taibi|2021|J.Mol.Struct.|1224|129034|doi:10.1016/j.molstruc.2020.129034
DOI: 10.6084/m9.figshare.9746894.v1
title: Confidence Intervals for Bias and Size Distortion in IV and Local Projections–IV Models

description: In this paper we propose methods to construct confidence intervals for the bias of the two-stage least squares estimator, and the size distortion of the associated Wald test in instrumental variables models with heteroskedasticity and serial correlation. Importantly our framework covers the local projections – instrumental variable model as well. Unlike tests for weak instruments, whose distributions are non-standard and depend on nuisance parameters that cannot be consistently estimated, the confidence intervals for the strength of identification are straightforward and computationally easy to calculate, as they are obtained from inverting a chi-squared distribution. Furthermore, they provide more information to researchers on instrument strength than the binary decision offered by tests. Monte Carlo simulations show that the confidence intervals have good, albeit conservative, in some cases, small sample coverage. We illustrate the usefulness of the proposed methods in two empirical situations: the estimation of the intertemporal elasticity of substitution in a linearized Euler equation, and government spending multipliers.
DOI: 10.5517/ccdc.csd.cc24ncw2
title: CCDC 1985794: Experimental Crystal Structure Determination

description: Related Article: A. Kaiba, Mohammed H. Geesi, P. Guionneau, Yassine Riadi, Talal A. Aljohani, Ammar Elsanousi, Oussama Ouerghi|2020|J.Mol.Struct.|1224|129008|doi:10.1016/j.molstruc.2020.129008
DOI: 10.5517/ccdc.csd.cc24x09d
title: CCDC 1993123: Experimental Crystal Structure Determination

description: Related Article: Guilherme R. Gonçalves, Alexandre B. de Carvalho, João Honorato, Katia M. Oliveira, Rodrigo S. Correa|2020|J.Mol.Struct.|1224|129035|doi:10.1016/j.molstruc.2020.129035
DOI: 10.5517/ccdc.csd.cc250dg2
title: CCDC 1996383: Experimental Crystal Structure Determination

description: Related Article: Ajay Suresh, Supriya Ghosh, Deepak Chopra|2020|J.Mol.Struct.|1224|129045|doi:10.1016/j.molstruc.2020.129045
DOI: 10.5517/ccdc.csd.cc250dh3
title: CCDC 1996384: Experimental Crystal Structure Determination

description: Related Article: Ajay Suresh, Supriya Ghosh, Deepak Chopra|2020|J.Mol.Struct.|1224|129045|doi:10.1016/j.molstruc.2020.129045
DOI: 10.5517/ccdc.csd.cc250dj4
title: CCDC 1996385: Experimental Crystal Structure Determination

description: Related Article: Ajay Suresh, Supriya Ghosh, Deepak Chopra|2020|J.Mol.Struct.|1224|129045|doi:10.1016/j.molstruc.2020.129045
DOI: 10.5517/ccdc.csd.cc250dk5
title: CCDC 1996386: Experimental Crystal Structure Determination

description: Related Article: Ajay Suresh, Supriya Ghosh, Deepak Chopra|2020|J.Mol.Struct.|1224|129045|doi:10.1016/j.molstruc.2020.129045
DOI: 10.5517/ccdc.csd.cc250dl6
title: CCDC 1996387: Experimental Crystal Structure Determination

description: Related Article: Ajay Suresh, Supriya Ghosh, Deepak Chopra|2020|J.Mol.Struct.|1224|129045|doi:10.1016/j.molstruc.2020.129045
DOI: 10.5517/ccdc.csd.cc250dm7
title: CCDC 1996388: Experimental Crystal Structure Determination

description: Related Article: Ajay Suresh, Supriya Ghosh, Deepak Chopra|2020|J.Mol.Struct.|1224|129045|doi:10.1016/j.molstruc.2020.129045
DOI: 10.5517/ccdc.csd.cc25322g
title: CCDC 1998944: Experimental Crystal Structure Determination

description: Related Article: Ting Xu, Zhiyuan Zheng, Yong Guo, Li-Ping Bai|2020|Eur.J.Med.Chem.|205|112663|doi:10.1016/j.ejmech.2020.112663
DOI: 10.5517/ccdc.csd.cc25324j
title: CCDC 1998946: Experimental Crystal Structure Determination

description: Related Article: Ting Xu, Zhiyuan Zheng, Yong Guo, Li-Ping Bai|2020|Eur.J.Med.Chem.|205|112663|doi:10.1016/j.ejmech.2020.112663
DOI: 10.5517/ccdc.csd.cc25330f
title: CCDC 1998973: Experimental Crystal Structure Determination

description: Related Article: Halyna I. Buvailo, Mariia V. Pavliuk, Valeriya G. Makhankova, Vladimir N. Kokozay, Volodymyr Bon, Edgar Mijangos, Sergii I. Shylin, Julia Jezierska|2020|Inorg.Chem.Commun.|119|108111|doi:10.1016/j.inoche.2020.108111
DOI: 10.5517/ccdc.csd.cc253h60
title: CCDC 1999351: Experimental Crystal Structure Determination

description: Related Article: Naohiro Uemura, Momoka Hosaka, Aoi Washio, Yasushi Yoshida, Takashi Mino, Masami Sakamoto|2020|Cryst.Growth Des.|20|4898|doi:10.1021/acs.cgd.0c00829