cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc21598t
title: CCDC 1881925: Experimental Crystal Structure Determination

description: Related Article: Inês C. B. Martins, Mariana Sardo, Edith Alig, Lothar Fink, Martin U. Schmidt, Luís Mafra, M. Teresa Duarte|2019|Cryst.Growth Des.|19|1860|doi:10.1021/acs.cgd.8b01830
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.cc21599v
title: CCDC 1881926: Experimental Crystal Structure Determination

description: Related Article: Inês C. B. Martins, Mariana Sardo, Edith Alig, Lothar Fink, Martin U. Schmidt, Luís Mafra, M. Teresa Duarte|2019|Cryst.Growth Des.|19|1860|doi:10.1021/acs.cgd.8b01830
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.cc21jpx6
title: CCDC 1892888: Experimental Crystal Structure Determination

description: Related Article: MIn Di, Jingwen Shen, Zheng Cui, Xiaoying Zhang, Jingping Zhang|2019|New J.Chem.|43|4226|doi:10.1039/C8NJ05139A
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.2561881
title: Yale stocks and flows database (YSTAFDB)

description: This Zenodo upload accompanies a Data Descriptor in <em>Scientific Data</em>, titled "YSTAFDB, a unified database of material stocks and flows for sustainability science". We refer to this database as the Yale stocks and flows database (YSTAFDB).

Here, we provide core and supplementary ('hierarchy') tables for YSTAFDB in comma separated value file format. We additionally provide an example of a template that we used to manually prepare data for entry into YSTAFDB.

A complete description of YSTAFDB can be found in the Data Descriptor mentioned above. Key properties of YSTAFDB include:


	100,000+ material cycles, criticality, and recycling data records
	quantitative stocks and flows data for 62 elemental cycles and various engineering material cycles
	data records describing stocks and flows at spatial scales from cities to global, and from the early 1800s to ca. 2013
description: This work was supported at Yale University by Grant #1636509 of the National Science Foundation, and at the University of Edinburgh by its School of Engineering. The authors are deeply thankful to Drew McLaughlin, Paul Hoekman, Michael S. Baker, Jessica Hopple, Nedal T. Nassar, Niko Heeren, and Tomer Fishman for their insightful comments, We also thank Dick van Beers, Minpeng Chen, Weiqiang Chen, Luca Ciacci, Matthew Eckelman, Goksin Kavlak, Jiansu Mao, Grégoire Meylan, Daniel B. Müller, Philip Nuss, and Hajime Ohno for supplying requested datasets in spreadsheet format.
DOI: 10.5281/zenodo.2561882
title: Yale stocks and flows database (YSTAFDB)

description: This Zenodo upload accompanies a Data Descriptor in <em>Scientific Data</em>, titled "YSTAFDB, a unified database of material stocks and flows for sustainability science". We refer to this database as the Yale stocks and flows database (YSTAFDB).

Here, we provide core and supplementary ('hierarchy') tables for YSTAFDB in comma separated value file format. We additionally provide an example of a template that we used to manually prepare data for entry into YSTAFDB.

A complete description of YSTAFDB can be found in the Data Descriptor mentioned above. Key properties of YSTAFDB include:


	100,000+ material cycles, criticality, and recycling data records
	quantitative stocks and flows data for 62 elemental cycles and various engineering material cycles
	data records describing stocks and flows at spatial scales from cities to global, and from the early 1800s to ca. 2013
description: This work was supported at Yale University by Grant #1636509 of the National Science Foundation, and at the University of Edinburgh by its School of Engineering. The authors are deeply thankful to Drew McLaughlin, Paul Hoekman, Michael S. Baker, Jessica Hopple, Nedal T. Nassar, Niko Heeren, and Tomer Fishman for their insightful comments, We also thank Dick van Beers, Minpeng Chen, Weiqiang Chen, Luca Ciacci, Matthew Eckelman, Goksin Kavlak, Jiansu Mao, Grégoire Meylan, Daniel B. Müller, Philip Nuss, and Hajime Ohno for supplying requested datasets in spreadsheet format.
DOI: 10.5281/zenodo.2572690
title: What does Google recommend when you want to compare insurance offerings? – A method and empirical study considering Google's top search results

description: This dataset is part of a publication and shows Google's search results for German search queries on insurance comparison offerings.

Relevant search queries were extracted from a commercial search engine log file consisting of more than 640,000 different search queries. From the log, we extracted a variety of query formulations for the same topic, i.e., queries containing the same word or phrase. The selection was based on pre-defined keywords in the context of insurance comparisons. The queries from the log file were automatically selected by combining the terms "*insurance*" and "*comparison*" (including left as well as right truncation). Examples of such inquiries are "car insurance comparison", "occupational disability insurance comparison", "liability insurance in comparison". This procedure identified a total of 121 different search queries. Scraping of the results took place between 08.05. - 09.05.2018.The adress data were extracted by using a text classification algorithm and a crawler to find the contact data on a website.

It is a tab-separated file with the following attributes:

ID: Unique row identifier

ID Query: Unique search query identifier

Query: German search query    

Position: Result position to the search query    

URL: URL of the search result    

Host: Host of the search result   

Company: Name of the company on the website

Street: Street in the address on the website    

Zipcode: Street in the address on the website         

Location: Location in the address on the website       

District: District in the address on the website            

State: State in the address on the website                

Country: Country in the address on the website
DOI: 10.5281/zenodo.2572691
title: What does Google recommend when you want to compare insurance offerings? – A method and empirical study considering Google's top search results

description: This dataset is part of a publication and shows Google's search results for German search queries on insurance comparison offerings.

Relevant search queries were extracted from a commercial search engine log file consisting of more than 640,000 different search queries. From the log, we extracted a variety of query formulations for the same topic, i.e., queries containing the same word or phrase. The selection was based on pre-defined keywords in the context of insurance comparisons. The queries from the log file were automatically selected by combining the terms "*insurance*" and "*comparison*" (including left as well as right truncation). Examples of such inquiries are "car insurance comparison", "occupational disability insurance comparison", "liability insurance in comparison". This procedure identified a total of 121 different search queries. Scraping of the results took place between 08.05. - 09.05.2018.The adress data were extracted by using a text classification algorithm and a crawler to find the contact data on a website.

It is a tab-separated file with the following attributes:

ID: Unique row identifier

ID Query: Unique search query identifier

Query: German search query    

Position: Result position to the search query    

URL: URL of the search result    

Host: Host of the search result   

Company: Name of the company on the website

Street: Street in the address on the website    

Zipcode: Street in the address on the website         

Location: Location in the address on the website       

District: District in the address on the website            

State: State in the address on the website                

Country: Country in the address on the website
DOI: 10.17632/9vgxj8bxph.1
title: Data for: Forest organic matter removal leads to long-term reductions in bacterial and fungal abundance

description: Data noted in the excel file is of soil bacterial and fungal abundance in a southern pine forest. The study area was a Pinus taeda (loblolly pine) forest located in eastern Texas USA (31° 06’ 32.48’’ N, 95° 09’ 59.15’’W). In brief, the experimental design consisted of two different OMR intensities (low-intensity: bole-only harvest, BO; high intensity: whole-tree harvest + forest floor removal, WT+FF) and unharvested control forest plots, with three replicates per treatment. Treatments were harvested in 1996, and replanted with containerized P. taeda seedlings at 2.5 m x 2.5 m spacing. Soil was sampled seasonally for 1 year (June 2014, September 2014, December 2014, and March 2015). At each sample date, 4 cores were taken within each replicate plot to a depth of 1 m, and separated into depth increments (0-10, 10-30, 30-60, and 60-100 cm). The four cores/plot were then pooled by depth increment and homogenized to create a single homogenous sample for each replicate plot, from which a representative subsample was removed and stored at -80 °C for molecular analyses. Microbial DNA was extracted from soil as noted in Mushinski et al. (2017). Quantitative-PCR (qPCR) targeting total bacteria and fungi was performed using primer pairs 1100F/1492R for bacteria and ITS1F/ITS5.8S for fungi . The 25 μl reaction mixture contained 13 μl SYBR green real master mix (5Prime, Gaithersburg, MD), 0.5 μl of each primer (concentration 10 mM), 1 μl DNA template, and 10 μl molecular-grade water. Each analytical run included a set of standards, negative controls, and replicated samples (n = 3) on a 96-well plate. For the 16S rRNA gene, the qPCR conditions were as follows: 95 °C for 10 min; 95 °C for 30 sec, 53 °C for 30 sec (40 cycles); 72 °C for 1 min. For the ITS region, the qPCR was run with the following conditions: 94 °C for 5 min; 94 °C for 30 sec, 57 °C for 45 sec (30 cycles); 72 °C for 1.5 min. The qPCR was performed using a Mastercycler® ep realplex thermal cycler (Eppendorf, Hamburg, Germany). Amplification efficiencies of 77-80% and 84-86% were obtained for bacteria and fungi, with r2 values &gt; 0.96. Plasmids containing 16S and ITS inserts were used for the standard curves. References Mushinski, R.M., Gentry, T.J., Dorosky, R.J., Boutton, T.W., 2017. Forest harvest intensity and soil depth alter inorganic nitrogen pool sizes and ammonia oxidizer community composition. Soil Biol. Biochem. 112, 216-227.
DOI: 10.17632/jwcy48z3dt.1
title: Data for: Atomistic simulations of energies for arbitrary grain boundaries. Part I: model and validation
DOI: 10.5281/zenodo.1468182
title: In vivo characterisation of fluorescent proteins in budding yeast.

description: Raw results of data of the paper 'In vivo characterisation of fluorescent proteins in budding yeast', including scripts to analyze and plot the data.
DOI: 10.5281/zenodo.1468183
title: In vivo characterisation of fluorescent proteins in budding yeast.

description: Raw results of data of the paper 'In vivo characterisation of fluorescent proteins in budding yeast', including scripts to analyze and plot the data.
DOI: 10.17632/mk38nk4yd7.1
title: Data for: Exploratory Behavior and Developmental Skill Acquisition in Infants with Down Syndrome

description: This dataset represents one timepoint of data collection for a sample of infants with Down syndrome. Complete Bayley-III information is provided, as well as demographic information and child medical/health history information. In addition, infants were administered a short exploration task that involved presenting the infant with a teether in their line of vision, and then placing it on the table before them. Exploration trials were coded for the percentage of time the infant spent visually, manually, and orally exploring the object.
DOI: 10.17632/ghdhb7t82t.1
title: Data for: The evolutionarily conserved role of melatonin in CNS disorders and behavioral regulation: Translational lessons from humans, rodents and zebrafish

description: Data NTT test
DOI: 10.17632/x2g6p2wtrv.1
title: Data for: Integrated Analysis for Prognostic Significance of TP53 Dependent Etoposide-induced Gene 24 in Non-Small Cell Lung Cancer
DOI: 10.5517/ccdc.csd.cc2159bw
title: CCDC 1881927: Experimental Crystal Structure Determination

description: Related Article: Inês C. B. Martins, Mariana Sardo, Edith Alig, Lothar Fink, Martin U. Schmidt, Luís Mafra, M. Teresa Duarte|2019|Cryst.Growth Des.|19|1860|doi:10.1021/acs.cgd.8b01830
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.cc21611c
title: CCDC 1882631: Experimental Crystal Structure Determination

description: Related Article: Yanru Fan, Xiao Li, Kuan Gao, Yu Liu, Xiangru Meng, Jie Wu, Hongwei Hou|2019|CrystEngComm|21|1666|doi:10.1039/C8CE02151A
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.cc21614g
title: CCDC 1882634: Experimental Crystal Structure Determination

description: Related Article: Yanru Fan, Xiao Li, Kuan Gao, Yu Liu, Xiangru Meng, Jie Wu, Hongwei Hou|2019|CrystEngComm|21|1666|doi:10.1039/C8CE02151A
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.cc21617k
title: CCDC 1882637: Experimental Crystal Structure Determination

description: Related Article: Yanru Fan, Xiao Li, Kuan Gao, Yu Liu, Xiangru Meng, Jie Wu, Hongwei Hou|2019|CrystEngComm|21|1666|doi:10.1039/C8CE02151A
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.cc216xhp
title: CCDC 1883482: Experimental Crystal Structure Determination

description: Related Article: Luciano Barluzzi, Lucile Chatelain, Farzaneh Fadaei-Tirani, Ivica Zivkovic, Marinella Mazzanti|2019|Chemical Science|10|3543|doi:10.1039/C8SC05721D
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.cc216xjq
title: CCDC 1883483: Experimental Crystal Structure Determination

description: Related Article: Luciano Barluzzi, Lucile Chatelain, Farzaneh Fadaei-Tirani, Ivica Zivkovic, Marinella Mazzanti|2019|Chemical Science|10|3543|doi:10.1039/C8SC05721D
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.cc216xkr
title: CCDC 1883484: Experimental Crystal Structure Determination

description: Related Article: Luciano Barluzzi, Lucile Chatelain, Farzaneh Fadaei-Tirani, Ivica Zivkovic, Marinella Mazzanti|2019|Chemical Science|10|3543|doi:10.1039/C8SC05721D
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.cc216xls
title: CCDC 1883485: Experimental Crystal Structure Determination

description: Related Article: Luciano Barluzzi, Lucile Chatelain, Farzaneh Fadaei-Tirani, Ivica Zivkovic, Marinella Mazzanti|2019|Chemical Science|10|3543|doi:10.1039/C8SC05721D
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.cc2173s6
title: CCDC 1883677: Experimental Crystal Structure Determination

description: Related Article: Ritesh Haldar, Komal Prasad, Arpan Hazra, Tapas Kumar Maji|2019|Cryst.Growth Des.|19|1514|doi:10.1021/acs.cgd.8b01840
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.cc217prr
title: CCDC 1884234: Experimental Crystal Structure Determination

description: Related Article: Sajjad Rakhshani, Ali Reza Rezvani, Michal Dušek, Václav Eigner |2019|J.Antibiot.|72|260|doi:10.1038/s41429-019-0147-2
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.cc218yv4
title: CCDC 1885446: Experimental Crystal Structure Determination

description: Related Article: Yong-Ling Wang, Yan-Song Ye, Wen-Wei Fu, Rong Wu, Qian Xiang, Yuan-Zhi Lao, Jin-Ling Yang, Hong-Sheng Tan, Xing-Wei Yang, Bai-Can Yang, Hong-Xi Xu, Gang Xu|2019|Org.Lett.|21|1534|doi:10.1021/acs.orglett.9b00388
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.cc2195m5
title: CCDC 1885656: Experimental Crystal Structure Determination

description: Related Article: Yong-Ling Wang, Yan-Song Ye, Wen-Wei Fu, Rong Wu, Qian Xiang, Yuan-Zhi Lao, Jin-Ling Yang, Hong-Sheng Tan, Xing-Wei Yang, Bai-Can Yang, Hong-Xi Xu, Gang Xu|2019|Org.Lett.|21|1534|doi:10.1021/acs.orglett.9b00388
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.cc21bd82
title: CCDC 1886823: Experimental Crystal Structure Determination

description: Related Article: Demin Ren, Bin Liu, Xiaofang Li, Sebastian Koniarz, Miłosz Pawlicki, Piotr J. Chmielewski|2019|Org.Chem.Front.|6|908|doi:10.1039/C9QO00024K
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.cc21bdb4
title: CCDC 1886825: Experimental Crystal Structure Determination

description: Related Article: Demin Ren, Bin Liu, Xiaofang Li, Sebastian Koniarz, Miłosz Pawlicki, Piotr J. Chmielewski|2019|Org.Chem.Front.|6|908|doi:10.1039/C9QO00024K
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.cc21bjhf
title: CCDC 1886954: Experimental Crystal Structure Determination

description: Related Article: Ryuta Ishikawa, Shunya Ueno, Yumi Hamatake, Yoji Horii, Yuji Miyazaki, Motohiro Nakano, Takeshi Noda, Mikoto Uematsu, Satoshi Kawata|2019|CrystEngComm|21|1886|doi:10.1039/C9CE00036D
description: Related Article: Ryuta Ishikawa, Shunya Ueno, Yumi Hamatake, Yoji Horii, Yuji Miyazaki, Motohiro Nakano, Takeshi Noda, Mikoto Uematsu, Satoshi Kawata|2019|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.cc21j2qd
title: CCDC 1892293: Experimental Crystal Structure Determination

description: Related Article: Roman Gajda, Mateusz A. Domański, Maura Malinska, Anna Makal|2019|CrystEngComm|21|1701|doi:10.1039/C8CE02130A
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.