cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc21l5lf
title: CCDC 1894304: Experimental Crystal Structure Determination

description: Related Article: Sihan Zhang, Rong Shang, Masaaki Nakamoto, Yohsuke Yamamoto, Yohei Adachi, Joji Ohshita|2019|Inorg.Chem.|58|6328|doi:10.1021/acs.inorgchem.9b00514
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.cc21l5mg
title: CCDC 1894305: Experimental Crystal Structure Determination

description: Related Article: Sihan Zhang, Rong Shang, Masaaki Nakamoto, Yohsuke Yamamoto, Yohei Adachi, Joji Ohshita|2019|Inorg.Chem.|58|6328|doi:10.1021/acs.inorgchem.9b00514
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.cc21mcfh
title: CCDC 1895446: Experimental Crystal Structure Determination

description: Related Article: Benita Barton, Lize de Jager, Eric C. Hosten|2019|CrystEngComm|21|3000|doi:10.1039/C9CE00265K
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.cc21mcgj
title: CCDC 1895447: Experimental Crystal Structure Determination

description: Related Article: Benita Barton, Lize de Jager, Eric C. Hosten|2019|CrystEngComm|21|3000|doi:10.1039/C9CE00265K
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.2650549
title: Japanese FAQ dataset for e-learning system

description: This dataset includes FAQ data and their categories to train a chatbot specialized for e-learning system used in Tokyo Metropolitan University. We report accuracies of the chatbot in the following paper.

<em>Yasunobu Sumikawa, Masaaki Fujiyoshi, Hisashi Hatakeyama, and Masahiro Nagai "Supporting Creation of FAQ Dataset for E-learning Chatbot", Intelligent Decision Technologies, Smart Innovation, IDT'19, Springer, 2019, to appear.</em>

 

This dataset is based on real Q&A data about how to use the e-learning system asked by students and teachers who use it in practical classes. The duration we collected the Q&A data is from April 2015 to July 2018.

We attach an English version dataset translated from the Japanese dataset to ease understand what contents our dataset has. Note here that we did not perform any evaluations on the English version dataset; there are no results how accurate chatbots responds to questions.

<strong>File contents</strong>:


	FAQ data (*.csv)
	
		Answer2Category.csv: Categories of answers.
		Answer2Tag.csv: Titles of answers.
		Answers.csv: IDs for answers and texts of answers.
		Categories.csv: Names of categories for answers.
		Questions.csv: Texts of questions and their corresponding answer IDs.
		Answers_english.csv: IDs for answers and texts of answers written in English.
		Categories_english.csv: Names of categories for answers and their corresponding English names.
		Questions_english.csv: Texts of questions and their corresponding answer IDs written in English.
	
	
	<br>
	Statistics (*.tsv)
	 Results of statistical analyses for the dataset. We used Calinski and Harabaz method, mutual information, Jaccard Index, TF-IDF+KL divergence, and TF-IDF+JS divergence in order to measure qualities of the dataset. In the analyses, we regard each answer as a cluster for questions. We also perform the same analyses for categories by regarding them as clusters for answers.
	


<strong>Grants</strong>: JSPS KAKENHI Grant Number 18H01057
DOI: 10.5519/qd.w5vaufwi
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4267699 records)
DOI: 10.17632/gngwx35tb8.1
title: Data for: Evaluating student perceptions of a multi-platform classroom response system in undergraduate nursing

description: This database includes the quantitative results for the the study investigating a classroom response technology system.
DOI: 10.25919/5cc138200c0cb
title: Parkes observations for project P971 semester 2019APRS_01

description: We propose timing observations of the relativistic pulsar - white-dwarf binary PSR J1141-6545. This unique system offers access to a wide range of physics, from relativistic phenomena through pulsar emission cone studies, to the structure and distribution of interstellar plasma along our line-of-sight. The recently installed Parkes Ultra Wide Band Low Frequency (UWL) receiver has opened up the possibility of performing first-ever studies of its orbital dynamics at high temporal resolution and study of the effects of the intra-binary medium on the dispersion and polarisation of the pulse profile. Our analysis of data obtained to date suggests that the pulsar would precess away from our line-of-sight in the next 3-5 years. Hence, regular observations are crucial to maximizing its science outcome
DOI: 10.5281/zenodo.2650564
title: Japanese FAQ dataset for e-learning system

description: This dataset includes FAQ data and their categories to train a chatbot specialized for e-learning system used in Tokyo Metropolitan University. We report accuracies of the chatbot in the following paper.

<em>Yasunobu Sumikawa, Masaaki Fujiyoshi, Hisashi Hatakeyama, and Masahiro Nagai "Supporting Creation of FAQ Dataset for E-learning Chatbot", Intelligent Decision Technologies, Smart Innovation, IDT'19, Springer, 2019, to appear.</em>

 

This dataset is based on real Q&A data about how to use the e-learning system asked by students and teachers who use it in practical classes. The duration we collected the Q&A data is from April 2015 to July 2018.

We attach an English version dataset translated from the Japanese dataset to ease understanding what contents our dataset has. Note here that we did not perform any evaluations on the English version dataset; there are no results how accurate chatbots responds to questions.

<strong>File contents</strong>:


	FAQ data (*.csv)
	
		Answer2Category.csv: Categories of answers.
		Answer2Tag.csv: Titles of answers.
		Answers.csv: IDs for answers and texts of answers.
		Categories.csv: Names of categories for answers.
		Questions.csv: Texts of questions and their corresponding answer IDs.
		Answers_english.csv: IDs for answers and texts of answers written in English.
		Categories_english.csv: Names of categories for answers and their corresponding English names.
		Questions_english.csv: Texts of questions and their corresponding answer IDs written in English.
	
	
	<br>
	Statistics (*.tsv)
	 Results of statistical analyses for the dataset. We used Calinski and Harabaz method, mutual information, Jaccard Index, TF-IDF+KL divergence, and TF-IDF+JS divergence in order to measure qualities of the dataset. In the analyses, we regard each answer as a cluster for questions. We also perform the same analyses for categories by regarding them as clusters for answers.
	


<strong>Grants</strong>: JSPS KAKENHI Grant Number 18H01057
DOI: 10.5519/qd.nn8hb8qa
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6 records)
DOI: 10.5281/zenodo.2650705
title: Japanese FAQ dataset for e-learning system

description: This dataset includes FAQ data and their categories to train a chatbot specialized for e-learning system used in Tokyo Metropolitan University. We report accuracies of the chatbot in the following paper.

<em>Yasunobu Sumikawa, Masaaki Fujiyoshi, Hisashi Hatakeyama, and Masahiro Nagai "Supporting Creation of FAQ Dataset for E-learning Chatbot", Intelligent Decision Technologies, Smart Innovation, IDT'19, Springer, 2019, to appear.</em>

 

This dataset is based on real Q&A data about how to use the e-learning system asked by students and teachers who use it in practical classes. The duration we collected the Q&A data is from April 2015 to July 2018.

We attach an English version dataset translated from the Japanese dataset to ease understanding what contents our dataset has. Note here that we did not perform any evaluations on the English version dataset; there are no results how accurate chatbots responds to questions.

<strong>File contents</strong>:


	FAQ data (*.csv)
	
		Answer2Category.csv: Categories of answers.
		Answer2Tag.csv: Titles of answers.
		Answers.csv: IDs for answers and texts of answers.
		Categories.csv: Names of categories for answers.
		Questions.csv: Texts of questions and their corresponding answer IDs.
		Answers_english.csv: IDs for answers and texts of answers written in English.
		Categories_english.csv: Names of categories for answers and their corresponding English names.
		Questions_english.csv: Texts of questions and their corresponding answer IDs written in English.
	
	
	<br>
	Statistics (*.tsv)
	 Results of statistical analyses for the dataset. We used Calinski and Harabaz method, mutual information, Jaccard Index, TF-IDF+KL divergence, and TF-IDF+JS divergence in order to measure qualities of the dataset. In the analyses, we regard each answer as a cluster for questions. We also perform the same analyses for categories by regarding them as clusters for answers.
	


<strong>Grants</strong>: JSPS KAKENHI Grant Number 18H01057
DOI: 10.5519/qd.euuhyphm
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6 records)
DOI: 10.5519/qd.kgul7dhs
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (24 records)
DOI: 10.17632/drpsjtwt3d.1
title: Data for: Exploring the effects of inter-firm linkages on SMEs’ open innovation from an ecosystem perspective: An empirical study of Chinese manufacturing SMEs

description: Raw survey data about innovation activities of Chinese manufacturing firms
DOI: 10.25345/c5bw5g
title: MassIVE MSV000083720 - Untargeted Temporal Analysis of Serum using FPSE after 8 Gy radiation
title: Untargeted Temporal Analysis of Serum using FPSE after 8 Gy radiation

Time points of room temperature serum analyzed: 1, 3, 24, 72, and 120 hours.
DOI: 10.14272/ilvxobcqqyklds-uhfffaoysa-n.1
title: 1-oxidopyridin-1-ium
title: InChI=1S/C5H5NO/c7-6-4-2-1-3-5-6/h1-5H

description: This dataset contains experimental data from a sample (1-oxidopyridin-1-ium, InChI=1S/C5H5NO/c7-6-4-2-1-3-5-6/h1-5H).
      The datasets from the following experiments are available:
      
      1H NMR
      
      13C NMR
      
      IR
      
      Mass
      
      Mass
DOI: 10.14272/ilvxobcqqyklds-uhfffaoysa-n/13cnmr
title: 13C NMR (1-oxidopyridin-1-ium, InChI=1S/C5H5NO/c7-6-4-2-1-3-5-6/h1-5H)

description: dataset for 13C NMR
      
      13C NMR (100 MHz, DMSO-d6, ppm) δ = 138.9 (2C, 3- and 5-CH), 126.8 (2C, 2- and 6-CH), 125.4 (4-CH).
DOI: 10.14272/ilvxobcqqyklds-uhfffaoysa-n/1hnmr
title: 1H NMR (1-oxidopyridin-1-ium, InChI=1S/C5H5NO/c7-6-4-2-1-3-5-6/h1-5H)

description: dataset for 1H NMR
      
      1H NMR (400 MHz, DMSO-d6, ppm) δ = 8.26–8.17 (m, 2H, 3- and 5-CH), 7.44–7.38 (m, 2H, 2- and 6-CH), 7.36–7.30 (m, 1H, 4-CH).
DOI: 10.14272/ilvxobcqqyklds-uhfffaoysa-n/ir
title: IR (1-oxidopyridin-1-ium, InChI=1S/C5H5NO/c7-6-4-2-1-3-5-6/h1-5H)

description: dataset for IR
      
      IR (ATR, ṽ) = 3356, 3262, 3108, 3075, 3054, 3014, 1660, 1605, 1560, 1462, 1384, 1333, 1298, 1227, 1171, 1096, 1069, 1045, 1016, 914, 833, 768, 710, 674, 547, 513, 467, 439 cm–1.
DOI: 10.14272/ilvxobcqqyklds-uhfffaoysa-n/mass
title: Mass (1-oxidopyridin-1-ium, InChI=1S/C5H5NO/c7-6-4-2-1-3-5-6/h1-5H)

description: dataset for Mass
      
      HRMS–EI (m/z): [M]+ calcd for C5H5ON, 95.0371; found, 95.0372.
DOI: 10.14272/ilvxobcqqyklds-uhfffaoysa-n/mass.1
title: Mass (1-oxidopyridin-1-ium, InChI=1S/C5H5NO/c7-6-4-2-1-3-5-6/h1-5H)

description: dataset for Mass
      
      EI (m/z, 70 eV, 20 °C): 96.1 (7%) [M + H]+, 95.1 (100%) [M]+, 79.1 (4%) [M - O]+, 78.1 (6%), 68.1 (7%), 63.1 (5%).
DOI: 10.25739/e4va-9f09
title: GOMAP Maize Zm-W22-REFERENCE-NRGENE-2.0 Zm00004b.1

description: This dataset is produced by GOMAP is a new high-coverage and reproducible functional annotation of maize protein coding genes based on Gene Ontology (GO) term assignments that covers the Zm00004b gene models for the Zm-W22-REFERENCE-NRGENE-2.0 genome assembly.
DOI: 10.15129/f3209029-dd36-43f1-bccb-cba917247eee
title: Data for: "Design of a new fast tool positioning system and systematic study on its positioning stability"

description: The data included in this dataset is the positioning errors of a novel positioning system. The system is aimed at manufacturing ultra-precision freeform surfaces. 
The aims of this research is to found out the influencing factors that contribute to the positioning errors. A series of positioning tests are conducted to verify the new design approach and error analysis method.

The data is in MATLAB format and can be imported by the MATLAB software.

The data named sys_para is the controller PID gains used in the experiments; 
sys_wg, sys_ws and sys_wi are the measured disturbance spectrums. 
The data in the folder Paper1 is the measured positioning following errors under different conditions as acquired by the controller. 
The data are use to plot the graphs in the paper named "Design of a new fast tool positioning system and systematic study on its positioning stability"
DOI: 10.25739/m634-cn58
title: GOMAP Maize Zm-Mo17-REFERENCE-CAU-1.0 Zm00014a.1

description: This dataset is produced by GOMAP is a new high-coverage and reproducible functional annotation of maize protein coding genes based on Gene Ontology (GO) term assignments that covers the Zm00014a gene models for the Zm-Mo17-REFERENCE-CAU-1.0 genome assembly.
DOI: 10.25739/dm9s-aa15
title: GOMAP Maize Zm-PH207-REFERENCE_NS-UIUC_UMN-1.0 Zm00008a.1

description: This dataset is produced by GOMAP is a new high-coverage and reproducible functional annotation of maize protein coding genes based on Gene Ontology (GO) term assignments that covers the Zm00008a gene models for the Zm-PH207-REFERENCE_NS-UIUC_UMN-1.0 genome assembly.
DOI: 10.5281/zenodo.2650488
title: Data for Patterns of Settlement Following Forced Migration: The Case of Bosnians in the United States

description: This repository contains the raw data used in Patterns of Settlement Following Forced Migration: The Case of Bosnians in the United States. These data were downloaded in February 2018 from the U.S. Census Bureau’s American Community Survey website at https://www.census.gov/programs-surveys/acs. The code used to analyze these data and intermediate datasets derived from them is available in GitHub at https://github.com/JohnPalmer/bosnian_settlement.
DOI: 10.5281/zenodo.2650489
title: Data for Patterns of Settlement Following Forced Migration: The Case of Bosnians in the United States

description: This repository contains the raw data used in Patterns of Settlement Following Forced Migration: The Case of Bosnians in the United States. These data were downloaded in February 2018 from the U.S. Census Bureau’s American Community Survey website at https://www.census.gov/programs-surveys/acs. The code used to analyze these data and intermediate datasets derived from them is available in GitHub at https://github.com/JohnPalmer/bosnian_settlement.
DOI: 10.17632/vgx2hgxsc4.1
title: Dataset for the article: “Data on mixed trophies biofilm for continuous cyclohexane oxidation to cyclohexanol using Synechocystis sp. PCC 6803”

description: Dataset for the article: “Data on mixed trophies biofilm for continuous cyclohexane oxidation to cyclohexanol using Synechocystis sp. PCC 6803” Journal Title: Data in Brief Authors: Ingeborg Heuschkel, Anna Hoschek, Andreas Schmid, Bruno Bühler, Rohan Karande, Katja Bühler Corresponding Author: Dr. Rohan Karande Department of Solar Materials Helmholtz-Centre for Environmental Research, UFZ Permoserstrasse 15, 04318 Leipzig, Germany
DOI: 10.5517/ccdc.csd.cc21ttnc
title: CCDC 1901653: Experimental Crystal Structure Determination

description: Related Article: Takeshi Kaneko, Hayato Ninagawa, Moe Matsuoka, Toshiro Takao|2019|Organometallics|38|2239|doi:10.1021/acs.organomet.9b00182
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: 10.17632/7yns77mnsh.1
title: Efficacy of nicotine replacement therapy, bupropion, and both for treating nicotine addiction
DOI: 10.17632/964jc5rn8r.1
title: Long-distance Transport of Red Ocher by Clovis Foragers

description: Abstract: Red ocher (hematite) is a ferrous iron oxide mineral commonly used by Paleoindians in a variety of contexts, but its significance in mobile toolkits is not well understood. Here we demonstrate the importance of ocher to Paleoindians by determining the distance they were willing to carry it. The La Prele Mammoth site (48CO1401) is an approximately 13,000-year-old mammoth processing site with an associated campsite that contains scattered ocher nodules and a prominent ocher stain. The geochemical signature of La Prele ocher was established and compared to four natural ocher sources in Wyoming using inductively coupled plasma optical emission spectroscopy (ICP-OES). Ocher from La Prele was sourced to the Powars II ocher quarry approximately 100 km away. Paleoindians were willing to carry ocher for long distances, suggesting that red ocher was an important constituent of the Clovis mobile toolkit, while supporting the notion that Clovis maintained large territories. This geochemical analytical technique has potential for establishing geologic sources of ocher from other regions and time periods. File 1: The first file in this database contains an excel spreadsheet which includes raw data for ICP-OES analysis, dilution calculations, and values corrected for dilution. File 2: The second file in this database contains the R code used for statistical analysis of this paper. File 3: The third file in this database contains tables 1-4 found in our published manuscript.
DOI: 10.17632/mnb67rtr2v.1
title: JID_Locker et al. 2019_Influence of ketogenic diets on psoriasis-like skin inflammation

description: Original mouse pictures of vehicle and Imiquimod treated mice fed with respective ketogenic diets, as well as the original Prism Datasets. For mouse pictures read Info.docx first in the subfolder.
DOI: 10.5517/ccdc.csd.cc21ttpd
title: CCDC 1901654: Experimental Crystal Structure Determination

description: Related Article: Takeshi Kaneko, Hayato Ninagawa, Moe Matsuoka, Toshiro Takao|2019|Organometallics|38|2239|doi:10.1021/acs.organomet.9b00182
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.cc21ttqf
title: CCDC 1901655: Experimental Crystal Structure Determination

description: Related Article: Takeshi Kaneko, Hayato Ninagawa, Moe Matsuoka, Toshiro Takao|2019|Organometallics|38|2239|doi:10.1021/acs.organomet.9b00182
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/cywg3nh9d4.1
title: Data for: Exchange Rate Disconnect and Private Information: What Can we Learn from Euro-Dollar Tweets?

description: Scripts and data that we used for the paper.
DOI: 10.17632/txt634xt8t.1
title: Data for:Sighting of a red coral [Corallium rubrum (Linnaeus, 1758)] population living at Gibraltar Strait
DOI: 10.17632/ytmyshtn66.1
title: EDDIE - Energy Dispersive x-rays spectroscopy for areal Density and composItion Evaluation

description: EDDIE is a MATLAB code for the for the evaluation of thin lms mass thick- ness and composition based on the Energy Dispersive X-Ray Spectroscopy (EDS). The method exploits the theoretical calculation of the in-depth char- acteristic X-ray generation distribution function in multilayer sam- ples, by the numerical solution of the electron trans- port equation. Once the substrate composition in known, this method gives reliable measurements without the need of a reference sample and/or mul- tiple voltage acquisitions. The electron transport model is derived from the Boltzmann transport equation and it exploits the most updated and reli- able physical parameters in order to obtain an accurate description of the phenomenon.
DOI: 10.17632/45znthss9r.1
title: Disturbance data - New Zealand

description: This is an updated dataset based on the methods developed in de Beurs et al. (2016). We used MODIS Nadir BRDF-adjusted reflectance (NBAR) data for all 500m MODIS tiles that cover New Zealand. Compared to de Beurs et al. (2016) this dataset is updated for the new collection of MODIS data (Collection 6). In addition, we have extended the time series. The current disturbance index data ranges from 2001 - 2017. The data are available in UTM Zone S59 for the South island and UTM Zone S60 for the North island. Values over 3 indicate disturbance on the land surface. Visualization of the data can be found on: http://tethys.dges.ou.edu/NZ_disturbance/