cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1ntvr2
title: CCDC 1544195: Experimental Crystal Structure Determination

description: Related Article: Ksenia V. Drozd, Alex N. Manin, Andrei V. Churakov, German L. Perlovich|2017|CrystEngComm|19|4273|doi:10.1039/C7CE00831G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1ntvs3
title: CCDC 1544196: Experimental Crystal Structure Determination

description: Related Article: Ksenia V. Drozd, Alex N. Manin, Andrei V. Churakov, German L. Perlovich|2017|CrystEngComm|19|4273|doi:10.1039/C7CE00831G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1ntvt4
title: CCDC 1544197: Experimental Crystal Structure Determination

description: Related Article: Ksenia V. Drozd, Alex N. Manin, Andrei V. Churakov, German L. Perlovich|2017|CrystEngComm|19|4273|doi:10.1039/C7CE00831G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25397/eur.22048193.v1
title: Data: Disentangling Individual Biases in Jury Voting

description: <em>Dataset and code for in-depth analysis of ESC jury members and their voting behavior:</em> <br> The Eurovision Song Contest is one of the worldwide biggest live media events and the world’s leading broadcast of an international music competition. A substantial list of cultural economics papers empirically analyzed the voting behavior of juries (consisting of music industry professionals) and audiences to identify voting biases because of cultural and political influences on the voting bodies. Due to limited data availability, this literature suffered from having to treat the national juries as a black box even though they are composed of individuals with different demographic characteristics (age, gender, etc.) and expert backgrounds (industry managers, musicians, composers, music journalists, etc.). Our analysis benefits from utilizing new data about each individual member of the jury including their role within the jury (e.g., the chairperson) as well as about their individual votes in the ESC. Therefore, for the first time, we can disentangle the voting behavior of the juries and track the voting behavior of individual jury members.
DOI: 10.5517/ccdc.csd.cc1ntvv5
title: CCDC 1544198: Experimental Crystal Structure Determination

description: Related Article: Georges Mouchaham, Brian Abeykoon, Mónica Giménez-Marqués, Sergio Navalon, Andrea Santiago-Portillo, Maame Affram, Nathalie Guillou, Charlotte Martineau, Hermenegildo Garcia, Alexandra Fateeva, Thomas Devic|2017|Chem.Commun.|53|7661|doi:10.1039/C7CC04215A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1ntzv9
title: CCDC 1544322: Experimental Crystal Structure Determination

description: Related Article: Alexander V. Aksenov, Dmitrii S. Ovcharov, Nicolai A. Aksenov, Dmitrii A. Aksenov, Oleg N. Nadein, Michael Rubin|2017|RSC Advances|7|29927|doi:10.1039/C7RA04751G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1ntvw6
title: CCDC 1544199: Experimental Crystal Structure Determination

description: Related Article: Yong-gang Shi, Xiang Wang, Nan Wang, Tai Peng, Suning Wang|2017|Organometallics|36|2677|doi:10.1021/acs.organomet.7b00290
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25397/eur.22110539
title: Tasks for the Evaluation of the Reward Signature

description: The processing of reinforcers and punishers is crucial to adapt to an ever-changing environment and its dysregulation is prevalent in mental health and substance use disorders. While many human brain measures related to reward have been based on activity in individual brain regions, recent studies indicate that many affective and motivational processes are encoded in distributed systems that span multiple regions. Consequently, decoding these processes using individual regions yields small effect sizes and limited reliability, whereas predictive models based on distributed patterns yield larger effect sizes and excellent reliability. To create such a predictive model for the processes of rewards and losses, termed the Brain Reward Signature (BRS), we trained a model to predict the signed magnitude of monetary rewards on the Monetary Incentive Delay task (MID; N = 39) and achieved a highly significant decoding performance (92% for decoding rewards versus losses). We subsequently demonstrate the generalizability of our signature on another version of the MID in a different sample (92% decoding accuracy; N = 12) and on a gambling task from a large sample (73% decoding accuracy, N = 1084). We further provided preliminary data to characterize the specificity of the signature by illustrating that the signature map generates estimates that significantly differ between rewarding and negative feedback (92% decoding accuracy) but do not differ for conditions that differ in disgust rather than reward in a novel Disgust-Delay Task (N = 39). Finally, we show that passively viewing positive and negatively valenced facial expressions loads positively on our signature, in line with previous studies on morbid curiosity. We thus created a BRS that can accurately predict brain responses to rewards and losses in active decision making tasks, and that possibly relates to information seeking in passive observational tasks. <br> This is a repository for the Monetary-Incentive Delay Task and the Disgust Delay task. The uploaded data contains the preprocessed functional fMRI data and onset timing files that are needed to reproduce the analysis and results reported in the paper. <br> This is the link to the pre-print: https://www.biorxiv.org/content/10.1101/2022.06.16.496388v1.abstract <br> <br>
DOI: 10.5517/ccdc.csd.cc1ntvx7
title: CCDC 1544200: Experimental Crystal Structure Determination

description: Related Article: Gopal Dhangar, Jose Luis Serrano, Carola Schulzke, Krishna Chaitanya Gunturu, Anant R. Kapdi|2017|ACS Omega|2|3144|doi:10.1021/acsomega.7b00725
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1nv05p
title: CCDC 1544332: Experimental Crystal Structure Determination

description: Related Article: Yong Wang,  Miao Liu,  Lei Liu,  Jian-Hui Xia,  Yu-Guo Du,  and Jian-Song Sun|2018|J.Org.Chem.|83|4111|doi:10.1021/acs.joc.8b00008
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1nd1rv
title: CCDC 1530927: Experimental Crystal Structure Determination

description: Related Article: S.K. Mohamed, N. Dege, M. Akkurt, O.A.A. Allah, M.R. Albayati|2017|IUCrData|2|x170573|doi:10.1107/S2414314617005739
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1ntw6k
title: CCDC 1544209: Experimental Crystal Structure Determination

description: Related Article: Yingfan Liu, Kaiming Mao, Xiaochuan Li, Young-A Son|2017|Z.Kristallogr.-New Cryst.Struct.|232|987|doi:10.1515/ncrs-2017-0120
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1nv0l3
title: CCDC 1544345: Experimental Crystal Structure Determination

description: Related Article: Kalipada Das, Samar Dolai, Pavel Vojtíšek, Subal Chandra Manna|2018|Polyhedron|149|7|doi:10.1016/j.poly.2018.04.008
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1nv0m4
title: CCDC 1544346: Experimental Crystal Structure Determination

description: Related Article: Kalipada Das, Samar Dolai, Pavel Vojtíšek, Subal Chandra Manna|2018|Polyhedron|149|7|doi:10.1016/j.poly.2018.04.008
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.dzvjdv
title: Occurrence Download

description: A dataset containing 809 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Occurrence evidence)",
 "Continent is Africa",
 "Country is South Africa",
 "GadmGid is ZAF.4.2_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 809 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054911-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25397/eur.22110539.v1
title: Tasks for the Evaluation of the Reward Signature

description: The processing of reinforcers and punishers is crucial to adapt to an ever-changing environment and its dysregulation is prevalent in mental health and substance use disorders. While many human brain measures related to reward have been based on activity in individual brain regions, recent studies indicate that many affective and motivational processes are encoded in distributed systems that span multiple regions. Consequently, decoding these processes using individual regions yields small effect sizes and limited reliability, whereas predictive models based on distributed patterns yield larger effect sizes and excellent reliability. To create such a predictive model for the processes of rewards and losses, termed the Brain Reward Signature (BRS), we trained a model to predict the signed magnitude of monetary rewards on the Monetary Incentive Delay task (MID; N = 39) and achieved a highly significant decoding performance (92% for decoding rewards versus losses). We subsequently demonstrate the generalizability of our signature on another version of the MID in a different sample (92% decoding accuracy; N = 12) and on a gambling task from a large sample (73% decoding accuracy, N = 1084). We further provided preliminary data to characterize the specificity of the signature by illustrating that the signature map generates estimates that significantly differ between rewarding and negative feedback (92% decoding accuracy) but do not differ for conditions that differ in disgust rather than reward in a novel Disgust-Delay Task (N = 39). Finally, we show that passively viewing positive and negatively valenced facial expressions loads positively on our signature, in line with previous studies on morbid curiosity. We thus created a BRS that can accurately predict brain responses to rewards and losses in active decision making tasks, and that possibly relates to information seeking in passive observational tasks. <br> This is a repository for the Monetary-Incentive Delay Task and the Disgust Delay task. The uploaded data contains the preprocessed functional fMRI data and onset timing files that are needed to reproduce the analysis and results reported in the paper. <br> This is the link to the pre-print: https://www.biorxiv.org/content/10.1101/2022.06.16.496388v1.abstract <br> <br>
DOI: 10.5517/ccdc.csd.cc1ntw8m
title: CCDC 1544211: Experimental Crystal Structure Determination

description: Related Article: Georges Mouchaham, Brian Abeykoon, Mónica Giménez-Marqués, Sergio Navalon, Andrea Santiago-Portillo, Maame Affram, Nathalie Guillou, Charlotte Martineau, Hermenegildo Garcia, Alexandra Fateeva, Thomas Devic|2017|Chem.Commun.|53|7661|doi:10.1039/C7CC04215A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1ntw9n
title: CCDC 1544212: Experimental Crystal Structure Determination

description: Related Article: Mahboubeh Hosseini-Kharat, Kazem Karami, Maryam Saeidifar, Corrado Rizzoli, Reza Zahedi-Nasab, Zahra Sohrabijam, Tayebeh Sharifi|2017|New J.Chem.|41|9897|doi:10.1039/C7NJ01415E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1ntwbp
title: CCDC 1544213: Experimental Crystal Structure Determination

description: Related Article: Joseph J. Gair, Brandon E. Haines, Alexander S. Filatov, Djamaladdin G. Musaev, Jared C. Lewis|2017|Chemical Science|8|5746|doi:10.1039/C7SC01674C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.29801600
title: Literature review data and code associated with "An updated estimate of the number of birds killed by outdoor cats in Canada" published in Avian Conservation and Ecology

description: Supplementary literature review data for the paper "An updated estimate of the number of birds killed by outdoor cats in Canada" published in Avian Conservation and Ecology. Code to reproduce paper's results and figures included.Domestic cats, Felis catus, can be found almost everywhere in the world and estimating their impact on wildlife, including birds, requires the most up-to-date information. There are an estimated 9.3 million pet cats in Canada, 30 – 60% of which are given unrestricted access to the outdoors. Using the best available data at the time, Blancher (2013) estimated that cats kill between 105 – 348 million birds per year in Canada, making them the leading measurable cause of bird mortality in the country. However, a decade later, research on outdoor cats and their predation of birds has increased considerably, providing an opportunity to revisit this mortality estimate. Using recent data on predation rates and cat abundance, we estimated that cats kill between 19 – 197 million birds per year in Canada, 71% lower than Blancher’s (2013) earlier estimate. This does not mean that cat populations or predation rates on birds have declined since the previous estimate. Rather, we suggest that the difference can be primarily attributed to lower outdoor cat abundance estimated from field surveys compared to previously used cat ownership surveys and media reports of shelter intake data. While the estimated number of birds killed annually by cats is considerably lower than the previous estimate, outdoor cats remain a serious concern for native bird populations.
DOI: 10.5517/ccdc.csd.cc1ntwcq
title: CCDC 1544214: Experimental Crystal Structure Determination

description: Related Article: Joseph J. Gair, Brandon E. Haines, Alexander S. Filatov, Djamaladdin G. Musaev, Jared C. Lewis|2017|Chemical Science|8|5746|doi:10.1039/C7SC01674C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.29801600.v2
title: Literature review data and code associated with "An updated estimate of the number of birds killed by outdoor cats in Canada" published in Avian Conservation and Ecology

description: Supplementary literature review data for the paper "An updated estimate of the number of birds killed by outdoor cats in Canada" published in Avian Conservation and Ecology. Code to reproduce paper's results and figures included.Domestic cats, Felis catus, can be found almost everywhere in the world and estimating their impact on wildlife, including birds, requires the most up-to-date information. There are an estimated 9.3 million pet cats in Canada, 30 – 60% of which are given unrestricted access to the outdoors. Using the best available data at the time, Blancher (2013) estimated that cats kill between 105 – 348 million birds per year in Canada, making them the leading measurable cause of bird mortality in the country. However, a decade later, research on outdoor cats and their predation of birds has increased considerably, providing an opportunity to revisit this mortality estimate. Using recent data on predation rates and cat abundance, we estimated that cats kill between 19 – 197 million birds per year in Canada, 71% lower than Blancher’s (2013) earlier estimate. This does not mean that cat populations or predation rates on birds have declined since the previous estimate. Rather, we suggest that the difference can be primarily attributed to lower outdoor cat abundance estimated from field surveys compared to previously used cat ownership surveys and media reports of shelter intake data. While the estimated number of birds killed annually by cats is considerably lower than the previous estimate, outdoor cats remain a serious concern for native bird populations.
DOI: 10.5517/ccdc.csd.cc1ntwdr
title: CCDC 1544215: Experimental Crystal Structure Determination

description: Related Article: Joseph J. Gair, Brandon E. Haines, Alexander S. Filatov, Djamaladdin G. Musaev, Jared C. Lewis|2017|Chemical Science|8|5746|doi:10.1039/C7SC01674C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1ntwfs
title: CCDC 1544216: Experimental Crystal Structure Determination

description: Related Article: Joseph J. Gair, Brandon E. Haines, Alexander S. Filatov, Djamaladdin G. Musaev, Jared C. Lewis|2017|Chemical Science|8|5746|doi:10.1039/C7SC01674C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.29801600.v1
title: Literature review data and code associated with "An updated estimate of the number of birds killed by outdoor cats in Canada" published in Avian Conservation and Ecology

description: Supplementary literature review data for the paper "An updated estimate of the number of birds killed by outdoor cats in Canada" published in Avian Conservation and Ecology. Code to reproduce paper's results and figures included.Domestic cats, Felis catus, can be found almost everywhere in the world and estimating their impact on wildlife, including birds, requires the most up-to-date information. There are an estimated 9.3 million pet cats in Canada, 30 – 60% of which are given unrestricted access to the outdoors. Using the best available data at the time, Blancher (2013) estimated that cats kill between 105 – 348 million birds per year in Canada, making them the leading measurable cause of bird mortality in the country. However, a decade later, research on outdoor cats and their predation of birds has increased considerably, providing an opportunity to revisit this mortality estimate. Using recent data on predation rates and cat abundance, we estimated that cats kill between 19 – 197 million birds per year in Canada, 71% lower than Blancher’s (2013) earlier estimate. This does not mean that cat populations or predation rates on birds have declined since the previous estimate. Rather, we suggest that the difference can be primarily attributed to lower outdoor cat abundance estimated from field surveys compared to previously used cat ownership surveys and media reports of shelter intake data. While the estimated number of birds killed annually by cats is considerably lower than the previous estimate, outdoor cats remain a serious concern for native bird populations.