cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.4621039.v1
title: Disease and the Steps to the Cure

description: An average of 56 million deaths occur worldwide each year and nearly 62% are caused by disease. Although research, awareness, and funding has increased significantly over the past century, it still might not be enough. After a small investigation it was revealed that the top three fatal diseases of Canadian citizens in 2015 were malignant neoplasms, heart diseases, and cerebrovascular diseases. A program which outputs Key words, including ones related to health and medical sciences, was designed to quickly analyze the relevance of the aforementioned diseases. This program uses an input of data sets from 2016. Through analyzing the 2015 Top 100 articles and the 2016 data, we were able to infer the amount of research and funding that these topics receive, and its associated trends. Since these three diseases are leading causes of mortality rates, it is important that more research and funding goes towards these diseases, but more specifically the field of health and medical sciences.
DOI: 10.6084/m9.figshare.4621042.v1
title: The Effect Computers Have on Our Future Generations

description: With new advances of technology in recent years and upcoming research, it is certain that artificial intelligence will be making its way into the lives of many with accessible computers. As our younger generations are and will be greatly part of a technological world, it can be hypothesized that in the education systems, computer usage is prominent in learning, projects, and activities. This may affect the youth's mental and physical health and even their lifestyles, because being exposed to technology at a young age affects the way they do work and business grown-up. Overall, this is all about how, if computers are providing so much automatic service, aid, and information to children and teens, then they will probably be less productive, physically and mentally. As well, although the youth is constantly being given quick answers from the Internet, the overload of knowledge cannot help the fact that they will not be able to apply anything they learned to work. Given this information and the fact that we have an aging population, we hypothesize that words related to this aspect of society would be found among the results.
DOI: 10.6084/m9.figshare.4621024
title: Effects of Climate Change on Canadian Forest Fires

description: This study aimed to determine the effects of climate change on forest fire trends in Canada by measuring correlations between weather conditions and the frequency and size of forest fires. Upon identifying the correlations, a model was created to understand future forest fire trends. The purpose of this study was to prevent the increasing trend of forest fires and devise solutions to reduce their damages. The data obtained from the Canadian National Fire Database underwent a linear regression and a machine learning algorithm to respectively predict and correlate weather conditions with future forest fire trends. It was concluded that temperature and wind speed experienced a positive correlation with forest fire frequency and size and precipitation experienced a negative correlation. To reduce the harmful effects of forest fires, cloud seeding can be used to create more precipitation and wind farms can be built to lower wind speed and attract lightning. However, more research and stricter policies directly targeting climate change are necessary for long term stability or decrease in forest fire trends.
DOI: 10.6084/m9.figshare.4621024.v1
title: Effects of Climate Change on Canadian Forest Fires

description: This study aimed to determine the effects of climate change on forest fire trends in Canada by measuring correlations between weather conditions and the frequency and size of forest fires. Upon identifying the correlations, a model was created to understand future forest fire trends. The purpose of this study was to prevent the increasing trend of forest fires and devise solutions to reduce their damages. The data obtained from the Canadian National Fire Database underwent a linear regression and a machine learning algorithm to respectively predict and correlate weather conditions with future forest fire trends. It was concluded that temperature and wind speed experienced a positive correlation with forest fire frequency and size and precipitation experienced a negative correlation. To reduce the harmful effects of forest fires, cloud seeding can be used to create more precipitation and wind farms can be built to lower wind speed and attract lightning. However, more research and stricter policies directly targeting climate change are necessary for long term stability or decrease in forest fire trends.
DOI: 10.6084/m9.figshare.4621027
title: The Role 3D Printers have in the Medical Field

description: Gole, Malins-Umansky, Prochazka, and Zhang explore the idea around 3D printers and their future in modern medicine. They talk about how 3D printers have become a increasingly popular in the past years. They also talk about how scientists are becoming more and more interested in 3D printers and their applications in modern medicine. They give an example of a successful surgery where the doctor printed a spine and surgically implanted it into a 12-year- old bone cancer patient. They talk about how more operations like these will become possible in the future. They show data that looks at the increase of popularity over multiple different platforms of medical 3D printers. They show their code from python, explaining what it does and how they used it. They conclude that 3D printers are going to have a major role in modern medicine.
DOI: 10.6084/m9.figshare.4621018
title: Exploring Government Involvement in Academia and its Effect on Social Media

description: Our team became very intrigued by the effect social media has on the world around us. This paper aims to see whether the government increasing their involvement in science was leading to more discussion of academia on twitter, or if it was the millennials in university who are bringing science and academia to social media. Using the Altmetric data sets, the Twitter API and the Geonames API we were able to construct a starting point for our project. After getting the three countries who had the most tweets regarding scientific research papers and three countries who had the least we began to collect specific data for each country and compared them to find patterns. We observed that all of the top three countries had a very similar percentage of students in postsecondary education as well as a significant amount of federal funding. We also noticed that out of the bottom three countries they all had a drastically lower percentage rate of students. As for their federal funding Russia and India had a significantly lower budget but China had more federal funding than both United Kingdom and Germany. With this we can deduce that the relationship between how many tweets regarding scientific articles and university students is the most significant.
DOI: 10.6084/m9.figshare.4621027.v1
title: The Role 3D Printers have in the Medical Field

description: Gole, Malins-Umansky, Prochazka, and Zhang explore the idea around 3D printers and their future in modern medicine. They talk about how 3D printers have become a increasingly popular in the past years. They also talk about how scientists are becoming more and more interested in 3D printers and their applications in modern medicine. They give an example of a successful surgery where the doctor printed a spine and surgically implanted it into a 12-year- old bone cancer patient. They talk about how more operations like these will become possible in the future. They show data that looks at the increase of popularity over multiple different platforms of medical 3D printers. They show their code from python, explaining what it does and how they used it. They conclude that 3D printers are going to have a major role in modern medicine.
DOI: 10.6084/m9.figshare.4621006
title: Future of Science: Detecting Cancer

description: Using Excel Data Analysis Tools and BigML Machine Learning platform, we tested correlation between biopsy data for breast cancer and created a model which helps to distinguish between benign and malignant tumors. Data set of oncology patients were used to analyze links between 10 indicators collected by biopsy non- cancerous and cancerous tumours. Created model can be used as a future medical science tool and can be available to specially trained histology nurses in rural areas. Developed model that can be used to detect cancer on early stages is especially important in the view of the fact that detecting cancer at stage IV give patients of about 22% of survival rate 1.
DOI: 10.6084/m9.figshare.4621018.v1
title: Exploring Government Involvement in Academia and its Effect on Social Media

description: Our team became very intrigued by the effect social media has on the world around us. This paper aims to see whether the government increasing their involvement in science was leading to more discussion of academia on twitter, or if it was the millennials in university who are bringing science and academia to social media. Using the Altmetric data sets, the Twitter API and the Geonames API we were able to construct a starting point for our project. After getting the three countries who had the most tweets regarding scientific research papers and three countries who had the least we began to collect specific data for each country and compared them to find patterns. We observed that all of the top three countries had a very similar percentage of students in postsecondary education as well as a significant amount of federal funding. We also noticed that out of the bottom three countries they all had a drastically lower percentage rate of students. As for their federal funding Russia and India had a significantly lower budget but China had more federal funding than both United Kingdom and Germany. With this we can deduce that the relationship between how many tweets regarding scientific articles and university students is the most significant.
DOI: 10.6084/m9.figshare.4621003
title: BenchmarkDP - Text extraction from general documents benchmark dataset

description: This collection contains the benchmark data used for benchmarking text extraction tools. <br><br>The data conatins : <br>- List of documents <br>- Ground truth data for each document <br>- Additional metadata extrcated with FITS tool <br><br>Also data contains benchmark results of the following tools <br>- Apache Tika v1.1<br>- Apache Tika v1.2<br>- Apache Tika v1.13<br>- DocToText<br>- XPdf <br><br>The source code of tools used to produce the dataset and the benchmark results can be found here : <br>https://github.com/kduretec/DataGeneratorAnalysis - R scripts for producing final results <br> https://github.com/kduretec/TestDataGenerator - Data and ground truth Generator <br> https://github.com/kduretec/ToolEvaluator - Part which evaluates software components and produces results for the R scripts. <br><br>
DOI: 10.6084/m9.figshare.4621006.v1
title: Future of Science: Detecting Cancer

description: Using Excel Data Analysis Tools and BigML Machine Learning platform, we tested correlation between biopsy data for breast cancer and created a model which helps to distinguish between benign and malignant tumors. Data set of oncology patients were used to analyze links between 10 indicators collected by biopsy non- cancerous and cancerous tumours. Created model can be used as a future medical science tool and can be available to specially trained histology nurses in rural areas. Developed model that can be used to detect cancer on early stages is especially important in the view of the fact that detecting cancer at stage IV give patients of about 22% of survival rate 1.
DOI: 10.6084/m9.figshare.4621009
title: How Topics Affect Twitter Attention

description: The purpose of the investigation conducted was to discover trends in twitter popularity regarding different areas of science. This investigation can benefit areas of marketing such as targeted advertising, as well as demographic research in order to correctly test certain demographics and obtain research grants. Results included possible confirmation of our motive through principal component analysis, The data was compiled using RStudio and was narrowed down by subjects, Altmetric scores, and countries. The data was parsed through to find Key words in the abstracts of articles. Principal Component Analysis was applied to a matrix of padded tweet dates, arranged by subject. These arranged dates were also plotted to visualize trends over time. From the data collected, the articles that were most tweeted about, between January 1st, 2016 to July 1st, 2016, worldwide were articles concerning physics. Out of all the articles, ”death” was the keyword most popular in articles’ abstracts. Disease-related words appeared far more often than the word ”cure”. The United States of America, Canada and Great Britain had the highest number of tweeters. Great Britain’s population was mainly interested in articles regarding dentistry, while Canada and the United States of America had a higher tweet count in articles related to health science.<br>
DOI: 10.6084/m9.figshare.4620967
title: Cobalt Phthalocyanine Immobilized on Graphene Oxide: An Efficient Visible-Active Catalyst for the Photoreduction of Carbon Dioxide

description: New graphene oxide (GO)-tethered–CoII phthalocyaninecomplex [CoPc–GO] was synthesized by a stepwiseprocedure and demonstrated to be an efficient, cost-effectiveand recyclable photocatalyst for the reduction of carbondioxide to produce methanol as the main product. The developedGO-immobilized CoPc was characterized by X-raydiffraction (XRD), FTIR, XPS, Raman, diffusion reflection UV/Vis spectroscopy, inductively coupled plasma atomic emissionspectroscopy (ICP-AES), thermogravimetric analysis(TGA), Brunauer–Emmett–Teller (BET), scanning electron microscopy(SEM), and transmission electron microscopy (TEM).FTIR, XPS, Raman, UV/Vis and ICP-AES along with elementalanalysis data showed that CoII–Pc complex was successfullygrafted on GO. The prepared catalyst was used for the photocatalyticreduction of carbon dioxide by using water asa solvent and triethylamine as the sacrificial donor. Methanolwas obtained as the major reaction product along with theformation of minor amount of CO (0.82 %). It was found thatGO-grafted CoPc exhibited higher photocatalytic activitythan homogeneous CoPc, as well as GO, and showed goodrecoverability without significant leaching during the reaction.Quantitative determination of methanol was done byGC flame-ionization detector (FID), and verification of productwas done by NMR spectroscopy. The yield of methanolafter 48 h of reaction by using GO–CoPc catalyst in the presenceof sacrificial donor triethylamine was found to be3781.8881 mmolg 1 cat., and the conversion rate was foundto be 78.7893 mmolg 1cat.h 1. After the photoreduction experiment,the catalyst was easily recovered by filtration andreused for the subsequent recycling experiment without significantchange in the catalytic efficiency
DOI: 10.6084/m9.figshare.4621009.v1
title: How Topics Affect Twitter Attention

description: The purpose of the investigation conducted was to discover trends in twitter popularity regarding different areas of science. This investigation can benefit areas of marketing such as targeted advertising, as well as demographic research in order to correctly test certain demographics and obtain research grants. Results included possible confirmation of our motive through principal component analysis, The data was compiled using RStudio and was narrowed down by subjects, Altmetric scores, and countries. The data was parsed through to find Key words in the abstracts of articles. Principal Component Analysis was applied to a matrix of padded tweet dates, arranged by subject. These arranged dates were also plotted to visualize trends over time. From the data collected, the articles that were most tweeted about, between January 1st, 2016 to July 1st, 2016, worldwide were articles concerning physics. Out of all the articles, ”death” was the keyword most popular in articles’ abstracts. Disease-related words appeared far more often than the word ”cure”. The United States of America, Canada and Great Britain had the highest number of tweeters. Great Britain’s population was mainly interested in articles regarding dentistry, while Canada and the United States of America had a higher tweet count in articles related to health science.<br>
DOI: 10.6084/m9.figshare.4620967.v1
title: Cobalt Phthalocyanine Immobilized on Graphene Oxide: An Efficient Visible-Active Catalyst for the Photoreduction of Carbon Dioxide

description: New graphene oxide (GO)-tethered–CoII phthalocyaninecomplex [CoPc–GO] was synthesized by a stepwiseprocedure and demonstrated to be an efficient, cost-effectiveand recyclable photocatalyst for the reduction of carbondioxide to produce methanol as the main product. The developedGO-immobilized CoPc was characterized by X-raydiffraction (XRD), FTIR, XPS, Raman, diffusion reflection UV/Vis spectroscopy, inductively coupled plasma atomic emissionspectroscopy (ICP-AES), thermogravimetric analysis(TGA), Brunauer–Emmett–Teller (BET), scanning electron microscopy(SEM), and transmission electron microscopy (TEM).FTIR, XPS, Raman, UV/Vis and ICP-AES along with elementalanalysis data showed that CoII–Pc complex was successfullygrafted on GO. The prepared catalyst was used for the photocatalyticreduction of carbon dioxide by using water asa solvent and triethylamine as the sacrificial donor. Methanolwas obtained as the major reaction product along with theformation of minor amount of CO (0.82 %). It was found thatGO-grafted CoPc exhibited higher photocatalytic activitythan homogeneous CoPc, as well as GO, and showed goodrecoverability without significant leaching during the reaction.Quantitative determination of methanol was done byGC flame-ionization detector (FID), and verification of productwas done by NMR spectroscopy. The yield of methanolafter 48 h of reaction by using GO–CoPc catalyst in the presenceof sacrificial donor triethylamine was found to be3781.8881 mmolg 1 cat., and the conversion rate was foundto be 78.7893 mmolg 1cat.h 1. After the photoreduction experiment,the catalyst was easily recovered by filtration andreused for the subsequent recycling experiment without significantchange in the catalytic efficiency
DOI: 10.6084/m9.figshare.4620814
title: Hexamolybdenum clusters supported on graphene oxide: Visible-light induced photocatalytic reduction of carbon dioxide into methanol

description: Hexamolybdenum (Mo6) cluster-based compounds namely Cs2Mo6Bri8Bra6and(TBA)2Mo6Bri8Bra6 (TBA = tetrabutylammonium) were immobilized on graphene oxide (GO)nanosheets by taking advantage of the high lability of the apical bromide ions withoxygen-functionalities of GO nanosheets. The loading of Mo6 clusters on GO nanosheetswas probed by Fourier-transform infrared (FTIR) spectroscopy, X-ray photoelectronspectroscopy (XPS), high resolution transmission electron microscopy (HRTEM) and elementalmapping analyses. The developed GO-Cs2Mo6Bri8Brax and GO-(TBA)2Mo6Bri8Braxcomposites were then used as heterogeneous photocatalysts for the reduction of CO2 undervisible light irradiation. After 24 h visible light illumination, the yield of methanol wasfound to be 1644 and 1294 lmol g 1 cat for GO-Cs2Mo6Bri8Brax and GO-(TBA)2Mo6Bri8Brax,respectively. The quantum yields of methanol by using GO-Cs2Mo6Bri8Brax andGO-(TBA)2Mo6Bri8Brax as catalysts with reference to Mo6 cluster units presented in 0.1 gamount of catalyst were found to be 0.015 and 0.011, respectively. The role of immobilizedMo6 clusters-based compounds on GO nanosheets is discussed to understand thephotocatalytic mechanism of CO2 reduction into methanol.
DOI: 10.6084/m9.figshare.4620814.v1
title: Hexamolybdenum clusters supported on graphene oxide: Visible-light induced photocatalytic reduction of carbon dioxide into methanol

description: Hexamolybdenum (Mo6) cluster-based compounds namely Cs2Mo6Bri8Bra6and(TBA)2Mo6Bri8Bra6 (TBA = tetrabutylammonium) were immobilized on graphene oxide (GO)nanosheets by taking advantage of the high lability of the apical bromide ions withoxygen-functionalities of GO nanosheets. The loading of Mo6 clusters on GO nanosheetswas probed by Fourier-transform infrared (FTIR) spectroscopy, X-ray photoelectronspectroscopy (XPS), high resolution transmission electron microscopy (HRTEM) and elementalmapping analyses. The developed GO-Cs2Mo6Bri8Brax and GO-(TBA)2Mo6Bri8Braxcomposites were then used as heterogeneous photocatalysts for the reduction of CO2 undervisible light irradiation. After 24 h visible light illumination, the yield of methanol wasfound to be 1644 and 1294 lmol g 1 cat for GO-Cs2Mo6Bri8Brax and GO-(TBA)2Mo6Bri8Brax,respectively. The quantum yields of methanol by using GO-Cs2Mo6Bri8Brax andGO-(TBA)2Mo6Bri8Brax as catalysts with reference to Mo6 cluster units presented in 0.1 gamount of catalyst were found to be 0.015 and 0.011, respectively. The role of immobilizedMo6 clusters-based compounds on GO nanosheets is discussed to understand thephotocatalytic mechanism of CO2 reduction into methanol.
DOI: 10.6084/m9.figshare.4620811.v2
title: Scraping KNApSAcK database

description: I crawled the KNApSAcK database on 2017/02/04
DOI: 10.6084/m9.figshare.4620811.v3
title: Scraping KNApSAcK database

description: I crawled the KNApSAcK database on 2017/02/04
DOI: 10.6084/m9.figshare.4620757
title: PhyloTree.org database files

description: The PhyloTree.org website contains haplotype trees for human mtDNA and NRY. The contents of the website can be dumped to a spreadsheet (tab-separated) format, which is presented here in addition to a conversion to CSV and in import into SQLite. Input data in CSV format kindly provided by Mannis van Oven.
DOI: 10.6084/m9.figshare.4620769
title: TWH HENAN DATA 2016.sav

description: The data are about around 1400 peasant family heads in east Henan province, China.
DOI: 10.6084/m9.figshare.4620769.v1
title: TWH HENAN DATA 2016.sav

description: The data are about around 1400 peasant family heads in east Henan province, China.
DOI: 10.6084/m9.figshare.4620748
title: GammaModels for data challenge

description: Fullsky maps for base and gamma model<br>healpix resolution = 8<br>ringModel gas<br>source term: Ferrière<br><br>