cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1184170
title: Dataset For "On The Origins Of Memes By Means Of Fringe Web Communities"

description: This dataset was collected with research funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No 691025.

The publication on which this dataset was used is: "On the Origins of Memes by Means of Fringe Web Communities". Savvas Zannettou, Tristan Caulfield, Jeremy Blackburn, Emiliano De Cristofaro, Michael Sirivianos, Gianluca Stringhini, and Guillermo Suarez-Tangil. ACM Internet Measurement Conference (IMC), 2018., DOI: https://doi.org/10.5281/zenodo.1323551

The code related to this research can be found here: https://github.com/memespaper/memes_pipeline, or here: 10.5281/zenodo.1463050

<br>
The restriction of accessing this dataset has been revoked.

The dataset is available here: DOI: https://doi.org/10.5281/zenodo.1184171

Presentation available here: https://doi.org/10.5281/zenodo.1477082
DOI: 10.5281/zenodo.1184171
title: Dataset For "On The Origins Of Memes By Means Of Fringe Web Communities"

description: This dataset was collected with research funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No 691025.

The publication on which this dataset was used is: "On the Origins of Memes by Means of Fringe Web Communities". Savvas Zannettou, Tristan Caulfield, Jeremy Blackburn, Emiliano De Cristofaro, Michael Sirivianos, Gianluca Stringhini, and Guillermo Suarez-Tangil. ACM Internet Measurement Conference (IMC), 2018., DOI: https://doi.org/10.5281/zenodo.1323551

The code related to this research can be found here: https://github.com/memespaper/memes_pipeline, or here: 10.5281/zenodo.1463050

<br>
The restriction of accessing this dataset has been revoked.

The dataset is available here: DOI: https://doi.org/10.5281/zenodo.1184171

Presentation available here: https://doi.org/10.5281/zenodo.1477082
DOI: 10.5281/zenodo.1183814
title: Comparison Of The Nutrient Resorption Stoichiometry Of Quercus Variabilis Blume Growing In Two Sites Contrasting In Soil Phosphorus Content

description: The databases provided here support the statistical analyses of the manuscript “Comparison of the nutrient resorption stoichiometry of <em>Quercus variabilis</em> Blume growing in two sites contrasting in soil phosphorus content” (Annals of Forest Science). The dataset is provided in Microsoft Excel format. The dataset (2015 data) contains information about concentrations of N, C, P, K, Ca, Mg, Fe, Mn, Zn, Cu, Al, and Na (mg g<sup>-1</sup>), ratios of C:N, N:P, and C:P on molar basis in soils, green leaves, and senesced leaves, and their resorption efficiencies and resorption efficiency ratios calculated as log<sub>e</sub>(C<sub>RE</sub>/N<sub>RE</sub>), log<sub>e</sub>(N<sub>RE</sub>/P<sub>RE</sub>) and log<sub>e</sub>(C<sub>RE</sub>/P<sub>RE</sub>) by leaves of <em>Q. variabilis</em>, and also leaf mass per area (mg cm<sup>-2</sup>), total height (m) and diameter at breast height (cm) of the<em> Q. variabilis</em> at P-rich and P-deficient sites, in subtropical China. These data were used to assess differences in nutrient concentrations and the C:N, N:P, and C:P molar ratios of green leaves, senesced leaves, and soils, as well as variations in foliar nutrient resorption efficiencies and resorption efficiency ratios between P-rich and -deficient sites, and to assess the relationship between resorption, and soil or leaf chemistry, and the relationship between LMA and nutrient concentrations or resorption, across P-rich and -deficient sites.
DOI: 10.5281/zenodo.1183815
title: Comparison Of The Nutrient Resorption Stoichiometry Of Quercus Variabilis Blume Growing In Two Sites Contrasting In Soil Phosphorus Content

description: The databases provided here support the statistical analyses of the manuscript “Comparison of the nutrient resorption stoichiometry of <em>Quercus variabilis</em> Blume growing in two sites contrasting in soil phosphorus content” (Annals of Forest Science). The dataset is provided in Microsoft Excel format. The dataset (2015 data) contains information about concentrations of N, C, P, K, Ca, Mg, Fe, Mn, Zn, Cu, Al, and Na (mg g<sup>-1</sup>), ratios of C:N, N:P, and C:P on molar basis in soils, green leaves, and senesced leaves, and their resorption efficiencies and resorption efficiency ratios calculated as log<sub>e</sub>(C<sub>RE</sub>/N<sub>RE</sub>), log<sub>e</sub>(N<sub>RE</sub>/P<sub>RE</sub>) and log<sub>e</sub>(C<sub>RE</sub>/P<sub>RE</sub>) by leaves of <em>Q. variabilis</em>, and also leaf mass per area (mg cm<sup>-2</sup>), total height (m) and diameter at breast height (cm) of the<em> Q. variabilis</em> at P-rich and P-deficient sites, in subtropical China. These data were used to assess differences in nutrient concentrations and the C:N, N:P, and C:P molar ratios of green leaves, senesced leaves, and soils, as well as variations in foliar nutrient resorption efficiencies and resorption efficiency ratios between P-rich and -deficient sites, and to assess the relationship between resorption, and soil or leaf chemistry, and the relationship between LMA and nutrient concentrations or resorption, across P-rich and -deficient sites.
DOI: 10.5281/zenodo.1184177
title: Dataset For "Mean Birds: Detecting Aggression And Bullying On Twitter"

description: In recent years, bullying and aggression against social media users have grown significantly, causing serious consequences to victims of all demographics. Nowadays, cyberbullying affects more than half of young social media users worldwide, suering from prolonged and/or coordinated digital harassment. Also, tools and technologies geared to understand and mitigate it are scarce and mostly ineffective. In this paper, we present a principled and scalable approach to detect bullying and aggressive behaviour on Twitter. We propose a robust methodology for extracting text, user, and network-based attributes, studying the properties of bullies and aggressors, and what features distinguish them from regular users. We nd that bullies post less, participate in fewer online communities, and are less popular than normal users. Aggressors are relatively popular and tend to include more negativity in their posts. We evaluate our methodology using a corpus of 1.6M tweets posted over 3 months, and show that machine learning classication algorithms can accurately detect users exhibiting bullying and aggressive behaviour, with over 90% AUC.
DOI: 10.5281/zenodo.1184178
title: Dataset For "Mean Birds: Detecting Aggression And Bullying On Twitter"

description: In recent years, bullying and aggression against social media users have grown significantly, causing serious consequences to victims of all demographics. Nowadays, cyberbullying affects more than half of young social media users worldwide, suering from prolonged and/or coordinated digital harassment. Also, tools and technologies geared to understand and mitigate it are scarce and mostly ineffective. In this paper, we present a principled and scalable approach to detect bullying and aggressive behaviour on Twitter. We propose a robust methodology for extracting text, user, and network-based attributes, studying the properties of bullies and aggressors, and what features distinguish them from regular users. We nd that bullies post less, participate in fewer online communities, and are less popular than normal users. Aggressors are relatively popular and tend to include more negativity in their posts. We evaluate our methodology using a corpus of 1.6M tweets posted over 3 months, and show that machine learning classication algorithms can accurately detect users exhibiting bullying and aggressive behaviour, with over 90% AUC.
DOI: 10.5281/zenodo.1172047
title: Growth Kinetics Of The Hsjd-Dipg-07 Cell Line In Non-Adherent Culture

description: The growth kinetics of the HSJD-DIPG-07 cell line when grown as neurospheres in non-adherent culture conditions.
description: Funding Acknowledgment: The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada through Ontario Genomics Institute [OGI-055], Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA, Darmstadt, Germany, MSD, Novartis Pharma AG, Ontario Ministry of Research, Innovation and Science (MRIS), Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome.
DOI: 10.5281/zenodo.1172048
title: Growth Kinetics Of The Hsjd-Dipg-07 Cell Line In Non-Adherent Culture

description: The growth kinetics of the HSJD-DIPG-07 cell line when grown as neurospheres in non-adherent culture conditions.
description: Funding Acknowledgment: The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada through Ontario Genomics Institute [OGI-055], Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA, Darmstadt, Germany, MSD, Novartis Pharma AG, Ontario Ministry of Research, Innovation and Science (MRIS), Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome.
DOI: 10.5281/zenodo.1183969
title: Archivos Cuenta Twitter Buitrago_Silvia

description: Con el ánimo de hacer de mi actividad en las redes sociales un ejercicio transparente, publico los archivos  de mi cuenta de twitter buitrago_silvia
DOI: 10.5281/zenodo.1183970
title: Archivos Cuenta Twitter Buitrago_Silvia

description: Con el ánimo de hacer de mi actividad en las redes sociales un ejercicio transparente, publico los archivos  de mi cuenta de twitter buitrago_silvia
DOI: 10.5517/ccdc.csd.cc1pd74g
title: CCDC 1560885: Experimental Crystal Structure Determination

description: Related Article: Weixin Zhang, Daya Huang, Meijie Huang, Ju Huang, Dean Wang, Xingguo Liu, Michel Nguyen, Laure Vendier, Serge Mazères, Anne Robert, Yan Liu, Bernard Meunier|2018|ChemMedChem|13|684|doi:10.1002/cmdc.201700734
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.cc1pd79m
title: CCDC 1560890: Experimental Crystal Structure Determination

description: Related Article: Weixin Zhang, Daya Huang, Meijie Huang, Ju Huang, Dean Wang, Xingguo Liu, Michel Nguyen, Laure Vendier, Serge Mazères, Anne Robert, Yan Liu, Bernard Meunier|2018|ChemMedChem|13|684|doi:10.1002/cmdc.201700734
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.cc1yv0rk
title: CCDC 1812469: Experimental Crystal Structure Determination

description: Related Article: Dawei Zhang, Tanya K. Ronson, Jesús Mosquera, Alexandre Martinez, Jonathan R. Nitschke|2018|Angew.Chem.,Int.Ed.|57|3717|doi:10.1002/anie.201800459
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.cc1yv0sl
title: CCDC 1812470: Experimental Crystal Structure Determination

description: Related Article: Dawei Zhang, Tanya K. Ronson, Jesús Mosquera, Alexandre Martinez, Jonathan R. Nitschke|2018|Angew.Chem.,Int.Ed.|57|3717|doi:10.1002/anie.201800459
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: 10.5281/zenodo.1183565
title: Data On Direct-To-Consumer Genetic Testing And Dna Testing Companies

description: This table was compiled between 2011 and 2018. It is a list of companies offering direct-to-consumer DNA tests over the internet. It is primarily concerned with direct-to-consumer genetic testing companies operating currently and also includes those, which are no longer operating. The table briefly summarizes the services offered by each company and gives the company’s location.

I am continuing to update this list, so it is a work in progress, it does include some companies that advertise their services to physicians and some companies may have altered their offerings. Further updates will be provided later in 2018. I have added a shorter table at the end of relevant other companies. I hope to make a searchable database of a revised version of the document available through my website in the future.

This work is being released for informational and educational purposes and should not be used for commercial purposes.

Please refer to my website for further updates http://www.andelkamphillips.com
description: Please use Version 1.3.
DOI: 10.5281/zenodo.1183971
title: Datos De Twitter

description: Archivos de datos exportados desde la cuenta de Twitter "cer098", extraídos durante el taller de Data Week # 11, realizado en Bogotá, Colombia, entre los días 22 de febrero y 3 de marzo de 2018.
description: Ejercicio de prueba
DOI: 10.5281/zenodo.1183972
title: Datos De Twitter

description: Archivos de datos exportados desde la cuenta de Twitter "cer098", extraídos durante el taller de Data Week # 11, realizado en Bogotá, Colombia, entre los días 22 de febrero y 3 de marzo de 2018.
description: Ejercicio de prueba
DOI: 10.5517/ccdc.csd.cc1lfjj2
title: CCDC 1472764: Experimental Crystal Structure Determination

description: Related Article: D. Chen, Q.-H. Wang, W.-X. Chai, L. Song|2018|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|74|342|doi:10.1107/S2053229618002607
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.cc1lfjk3
title: CCDC 1472765: Experimental Crystal Structure Determination

description: Related Article: D. Chen, Q.-H. Wang, W.-X. Chai, L. Song|2018|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|74|342|doi:10.1107/S2053229618002607
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.cc1lfjyh
title: CCDC 1472777: Experimental Crystal Structure Determination

description: Related Article: D. Chen, Q.-H. Wang, W.-X. Chai, L. Song|2018|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|74|342|doi:10.1107/S2053229618002607
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.cc1yxx70
title: CCDC 1815243: Experimental Crystal Structure Determination

description: Related Article: Yuk-Cheung Chan, Ying-Yeung Yeung|2018|Angew.Chem.,Int.Ed.|57|3483|doi:10.1002/anie.201800261
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.cc1z651d
title: CCDC 1823173: Experimental Crystal Structure Determination

description: Related Article: M.A. Harvey, S. Suarez, P.N. Zolotarev, D.M. Proserpio, R. Baggio|2018|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|74|351|doi:10.1107/S2053229618002413
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.cc1z652f
title: CCDC 1823174: Experimental Crystal Structure Determination

description: Related Article: M.A. Harvey, S. Suarez, P.N. Zolotarev, D.M. Proserpio, R. Baggio|2018|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|74|351|doi:10.1107/S2053229618002413
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.cc1z653g
title: CCDC 1823175: Experimental Crystal Structure Determination

description: Related Article: M.A. Harvey, S. Suarez, P.N. Zolotarev, D.M. Proserpio, R. Baggio|2018|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|74|351|doi:10.1107/S2053229618002413
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.ccymh56
title: CCDC 882668: Experimental Crystal Structure Determination

description: Related Article: M.A. Neelakantan, Chithiraivel Balakrishnan, P. Kowsalya, V. Selvarani|2018|Polyhedron|145|191|doi:10.1016/j.poly.2018.02.009
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: 10.17632/m4sm4545h3.1
title: Data for: The effect of encoding duration on implicit and explicit eyewitness memory

description: Final Study data set (n = 227)
DOI: 10.5517/ccdc.csd.cc1z8pc9
title: CCDC 1825601: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Matthew J. Piggott|2018|CSD Communication|||
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.cc1z8pdb
title: CCDC 1825602: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Matthew J. Piggott|2018|CSD Communication|||
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: 10.13140/rg.2.2.23287.73121
title: Integer sequence A293656: a(n) = binomial(n+1,2)*n!/n!!
DOI: 10.13140/rg.2.2.29998.61769
title: Integer sequence A293656: a(n) = binomial(n+1,2)*n!/n!!
DOI: 10.13140/rg.2.2.36709.50402
title: Integer sequence A293656: a(n) = binomial(n+1,2)*n!/n!!
DOI: 10.5517/ccdc.csd.cc1pk3jw
title: CCDC 1565578: Experimental Crystal Structure Determination

description: Related Article: Marri Sameer Reddy, L. Raju Chowhan, Nandigama Satish Kumar, Pambala Ramesh, Saratchandra Babu Mukkamala|2018|Tetrahedron Lett.|59|1366|doi:10.1016/j.tetlet.2018.02.044
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: 10.17632/99rcx8hsj4.1
title: Data for: Assessment of Impulsivity in Adolescent Mice: A New Training Procedure for a 3-Choice Serial Reaction Time Task

description: Raw data for each figure
DOI: 10.13140/rg.2.2.28635.46886
title: Supp. data-j.bbapap.2018.01.007
DOI: 10.5517/ccdc.csd.cc1z8rcc
title: CCDC 1825663: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Edward R. T. Tiekink, V. R. Ward, Ashleigh D.  Ward|2018|CSD Communication|||
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: 10.7931/j23f4msf
title: Data from "Mapping floral resources for honey bees in New Zealand at the catchment scale "
DOI: 10.5517/ccdc.csd.cc1z8m84
title: CCDC 1825536: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Matthew J. Piggott, Katie D. Lewis|2018|CSD Communication|||
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: 10.15468/0dwy8t
title: The world fauna of Synchroidae Lacordaire, 1859 (Coleoptera, Tenebrionoidea, Synchroidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Hsiao, Yun, Ondřej Konvička, Chiun-Cheng Ko (2018): The world fauna of Synchroidae Lacordaire, 1859 (Coleoptera, Tenebrionoidea, Synchroidae). European Journal of Taxonomy 407: 1-33, DOI: https://doi.org/10.5852/ejt.2018.407
DOI: 10.15468/kgf4al
title: New members of the genera Neanura MacGillivray, 1893 and Deutonura Cassagnau, 1979 (Collembola: Neanuridae) from the Middle East

description: This dataset contains the digitized treatments in Plazi based on the original journal article Smolis, Adrian, Shayanmehr, Masoumeh, Yoosefi-Lafooraki, Elham (2018): New members of the genera Neanura MacGillivray, 1893 and Deutonura Cassagnau, 1979 (Collembola: Neanuridae) from the Middle East. European Journal of Taxonomy 406: 1-16, DOI: https://doi.org/10.5852/ejt.2018.406