cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.4595449
title: Correlation Between Cancer Research Trends and Real World Data: An Analysis on Altmetric Data

description: The field of cancer research is overall ambiguous to the general population and apart from medical news, not a lot is known of the proceedings. This study aims to provide some clarity towards cancer research, especially towards the correlations between research of different types of cancer. The amount of research papers pertaining to different types of cancers is compared against mortality and diagnosis rates to determine the amount of research attention towards a type of cancer in relation to its overall importance or danger level to the general population. This is achieved through the use of many computational tools such as Python, R, and Microsoft Excel. Python is used to parse through the JSON files and extract the abstract and Altmetric score onto a single CSV file. R is used to iterate through the rows of the CSV files and count the appearance of each type of cancer in the abstract. As well as this, R creates the histograms describing Altmetric scores and file frequency. Microsoft Excel is used to provide further data analysis and find correlations between Altmetrics data and Canadian Cancer Society data. The analysis from these tools revealed that breast cancer was the most researched cancer by a large margin with nearly 1,700 papers. Although there were a large number of cancer research papers, the Altmetric scores revealed that most of these papers did not gain significant attention. By comparing these results to Canadian Cancer Society data, it was uncovered that Breast Cancer was receiving research attention that was not merited. There were four times more breast cancer research papers than the second most researched cancer, prostate cancer. This was despite the fact that breast cancer was fourth in mortality and third in new cases among all cancers. Inversely, lung cancer was underrepresented with only 401 research papers in spite of being the deadliest cancer in Canada.
DOI: 10.4225/03/588e8e859954d
title: Nystrand et al. males and females data.xlsx

description: Female and male data sheet used for statistical analysis. Note that the package "reshaped" (in R) was used to reconfigure the data across days.
DOI: 10.6084/m9.figshare.4595449.v1
title: Correlation Between Cancer Research Trends and Real World Data: An Analysis on Altmetric Data

description: The field of cancer research is overall ambiguous to the general population and apart from medical news, not a lot is known of the proceedings. This study aims to provide some clarity towards cancer research, especially towards the correlations between research of different types of cancer. The amount of research papers pertaining to different types of cancers is compared against mortality and diagnosis rates to determine the amount of research attention towards a type of cancer in relation to its overall importance or danger level to the general population. This is achieved through the use of many computational tools such as Python, R, and Microsoft Excel. Python is used to parse through the JSON files and extract the abstract and Altmetric score onto a single CSV file. R is used to iterate through the rows of the CSV files and count the appearance of each type of cancer in the abstract. As well as this, R creates the histograms describing Altmetric scores and file frequency. Microsoft Excel is used to provide further data analysis and find correlations between Altmetrics data and Canadian Cancer Society data. The analysis from these tools revealed that breast cancer was the most researched cancer by a large margin with nearly 1,700 papers. Although there were a large number of cancer research papers, the Altmetric scores revealed that most of these papers did not gain significant attention. By comparing these results to Canadian Cancer Society data, it was uncovered that Breast Cancer was receiving research attention that was not merited. There were four times more breast cancer research papers than the second most researched cancer, prostate cancer. This was despite the fact that breast cancer was fourth in mortality and third in new cases among all cancers. Inversely, lung cancer was underrepresented with only 401 research papers in spite of being the deadliest cancer in Canada.
DOI: 10.6084/m9.figshare.4595443
title: A Study of Factors Related to Readership of Scientific Articles

description: This report analysed the relationship between the number of Twitter and Mendeley views of scientific articles and the following factors: the GDP per capita of the country where the views came from, the title length, the publisher, the journal, and the subject of the article, in order to determine which factors affected how many views scientific articles accumulate. The purpose of this report was to help future researchers gain the most views possible on their published articles. The data provided by Altmetric containing 550,000 json files, was extracted and displayed into several data frames, each one containing a different variable. The variables were then compared to views articles gained using a combination of bubble graphs, linear regression models, and scatter plots. From the results gathered, it could be seen that although the title length, the GDP per capita, and the subject of an article all affected the total views an article amassed, the journal and publisher had no notable effect on the views. In particular, title length within 41-100 characters had the most noticeable effect on the number of readers per article. Subjects, while showing that the more articles published about them brought in more total views, did not have a strong effect on the average number of viewers per article. <br>
DOI: 10.6084/m9.figshare.4595473.v2
title: MD Simulations of Lipid A Phosphoethanol Transferase from Neisseria meningitidis (NmEptA) in pure DPPE and mixed PE/PG bilayer

description: MD simulations of a full-length Lipid A phosphoethanolamine transferase from <i>Neisseria meningitidis </i>(<i>Nm</i>EptA, PDB code: 5FGN). NmEptA decorates lipid A with phosphoethanolamine (PEA) by transferring the moiety from phosphoethanolamine (PE) lipids found in the bacterial membrane, resulting with the reduced negative charge of the bacterial surface and increased colistin resistance. The full publication can be found here: <br>doi: 10.1073/pnas.1612927114The uploaded files contain total of 9 independent simulations of <i>Nm</i>EptA embedded in two membrane models - pure DPPE bilayer and mixed PE/PG bilayer. A set of three simulations were carried out in DPPE bilayer ar 298 K and three at 310 K, while another set of triplicates was run in a bilayer containing 80% PE and 20% PG lipids at 298 K. A detailed description of MD setup is uploaded in a separate file and the input files used to run the simulations are also provided (.<i>mdp</i>). All the simulations were carried out using GROMACS 3.3.3 engine in conjunction with GROMOS 54a7 force field. Links to the lipid parameters used in these simulations are given below.<br>The uploaded files contain:* The starting structure of <i>Nm</i>EptA embedded in the DPPE bilayer (NmEptA_DPPE_Zn.gro) and the mixed PE/PG bilayer (NmEptA_PEPG_Zn.gro).* Set of trajectories in DPPE bilayer and the corresponding input <i>mdp</i> files at 298 K (NmEptA_DPPE_run1-3-298K.xtc/mdp) and at 310 K (NmEptA_DPPE_run1-3-310K.xtc/mdp).* Set of trajectories in PE/PG bilayer and the corresponding mdp files run at 298 K (NmEptA_PEPG_run1-3-298K.xtc/mdp).* PPoPE lipid paramteres (<i>PPoPE.itp</i>) and the equilibrated mixed PE/PG bilayer snapshot (80_PPoPE-20_DMPG.pdb).* MD simulation protocol (MD_Setup.pdf)<br><br>
DOI: 10.6084/m9.figshare.4595416
title: Assistive Technology Project Perception

description: A stacked bar graph showing student perceptions of an assistive technology focused design project.<br>Files included:<br>* PNG of graph* HTML interactive graph* Python code to recreate the graph
DOI: 10.6084/m9.figshare.4595443.v1
title: A Study of Factors Related to Readership of Scientific Articles

description: This report analysed the relationship between the number of Twitter and Mendeley views of scientific articles and the following factors: the GDP per capita of the country where the views came from, the title length, the publisher, the journal, and the subject of the article, in order to determine which factors affected how many views scientific articles accumulate. The purpose of this report was to help future researchers gain the most views possible on their published articles. The data provided by Altmetric containing 550,000 json files, was extracted and displayed into several data frames, each one containing a different variable. The variables were then compared to views articles gained using a combination of bubble graphs, linear regression models, and scatter plots. From the results gathered, it could be seen that although the title length, the GDP per capita, and the subject of an article all affected the total views an article amassed, the journal and publisher had no notable effect on the views. In particular, title length within 41-100 characters had the most noticeable effect on the number of readers per article. Subjects, while showing that the more articles published about them brought in more total views, did not have a strong effect on the average number of viewers per article. <br>
DOI: 10.6084/m9.figshare.4595416.v2
title: Assistive Technology Project Perception

description: A stacked bar graph showing student perceptions of an assistive technology focused design project.<br>Files included:<br>* PNG of graph* HTML interactive graph* Python code to recreate the graph
DOI: 10.6084/m9.figshare.4595371
title: List of horizontally transferred genes

description: Table highlighting the antibiotic resistance determinants from the core <i>E. coli</i> resistome in the population of genes which are horizontally transferred. HGT genes which we would define as 'core genes' (present in &gt;= 95 % of all <i>E. coli</i>) are highlighted in blue. Genes of the core resistome which appear in this list are highlighted in red.
DOI: 10.6084/m9.figshare.4595362
title: Testing Fragility data

description: Data collected to compute fragility metrics on six set of Android projects hosted on GitHub and featuring popular testing tools
DOI: 10.6084/m9.figshare.4595332
title: MSCOCO Annotations in Torch T7 Format

description: This contains instances_train2014.t7 and instances_val2014.t7, converted from JSON for loading by Torch's COCO API as described here: https://gist.github.com/ryanfb/13bd5cf3d89d6b5e8acbd553256507f2#out-of-memory-loading-annotations-during-th-trainlua
DOI: 10.5061/dryad.k74670v/6
title: Differently painted dummies, part 2

description: Data from males flies paired with differently painted dummies. File is actually a single zip split into multiple parts (this is part 2). *.m files, with the following data structs: fly (position and orientation of fly during the trial), robot (position and orientation of robot), chases and chases2 (starts and ends of chases, each uses slightly different criteria to define a chase. data from chases struct used in paper), magloc_on_flyazi (matrix with the location of the magnet on the fly's azimuth at each time step). Data come from 10 minute trials.
DOI: 10.5061/dryad.k74670v/7
title: Differently painted dummies, part 3

description: Data from males flies paired with differently painted dummies. File is actually a single zip split into multiple parts (this is part 3). *.m files, with the following data structs: fly (position and orientation of fly during the trial), robot (position and orientation of robot), chases and chases2 (starts and ends of chases, each uses slightly different criteria to define a chase. data from chases struct used in paper), magloc_on_flyazi (matrix with the location of the magnet on the fly's azimuth at each time step). Data come from 10 minute trials.
DOI: 10.5061/dryad.k74670v/8
title: dummies painted two colors, part 2

description: Data from males flies paired with rectangular dummies painted two colors. File is actually a single zip split into multiple parts (this is part 2). *.m files, with the following data structs: fly (position and orientation of fly during the trial), robot (position and orientation of robot), chases and chases2 (starts and ends of chases, each uses slightly different criteria to define a chase. data from chases struct used in paper), magloc_on_flyazi (matrix with the location of the magnet on the fly's azimuth at each time step). Data come from 10 minute trials.
DOI: 10.5061/dryad.k74670v/9
title: dummies painted two colors, part 3

description: Data from males flies paired with rectangular dummies painted two colors. File is actually a single zip split into multiple parts (this is part 3). *.m files, with the following data structs: fly (position and orientation of fly during the trial), robot (position and orientation of robot), chases and chases2 (starts and ends of chases, each uses slightly different criteria to define a chase. data from chases struct used in paper), magloc_on_flyazi (matrix with the location of the magnet on the fly's azimuth at each time step). Data come from 10 minute trials.
DOI: 10.5061/dryad.km78ms9/1
title: Screw removal torque data

description: This is an excel sheet with the peak removal torque values for each screw position in the plate. The peak removal torque values are divided between the non-self-tapping (NST) screws and self-tapping (ST) screws. Below the main table is the cortical fracture table with the frequencies of the cortical fracture occurrence during the screw placement of both screw types (NST and ST).
DOI: 10.5061/dryad.sq25h1q/1
title: Data of Experiment 1

description: PSS and TIW data from individual participants for 6 exercises. The unit is millisecond.
DOI: 10.5061/dryad.sq25h1q/2
title: Data of Experiment 2

description: PSS and TIW data from individual participants in on-beat condition and pre-beat condition. The unit is millisecond.
DOI: 10.5061/dryad.sq25h1q/3
title: Data of Experiment 3

description: Temporal difference between music beats and vGRF peaks and that between music beats and relevant movement feature points. Data are shown for all beats (16 beats) of 5 exercises. (5 trials x 3 participants). The unit is second.
DOI: 10.5061/dryad.v46p2jh/23
title: Train_sCP_S01
DOI: 10.5061/dryad.v46p2jh/24
title: Train_sCP_S02
DOI: 10.5061/dryad.v46p2jh/25
title: Train_sCP_S03
DOI: 10.5061/dryad.v46p2jh/26
title: Train_sCP_S04
DOI: 10.5061/dryad.v46p2jh/27
title: Train_sCP_S05
DOI: 10.5061/dryad.v46p2jh/28
title: Train_sCP_S06
DOI: 10.5061/dryad.v46p2jh/29
title: Train_sCP_S07
DOI: 10.5061/dryad.v46p2jh/30
title: Train_sCP_S08
DOI: 10.5061/dryad.v46p2jh/31
title: Train_sCP_S09
DOI: 10.17632/6nmhn7thzc.1
title: Data for: A New system design and analysis of a solar bio-digester unit

description: The file contains codes and data to help interested readers to reproduce this work and to used for other developed application
DOI: 10.17632/jnsp7932kw.1
title: Data for: Strontium isotopic compositions of Cambrian (Upper Miaolingian-Furongian series) dolomites from south-eastern Sichuan Basin, China: Significance of sources of dolomitizing fluids and timing of dolomitization

description: This is the data of strontium isotope characteristics of different types of Cambrian dolomites in Sichuan Basin.
DOI: 10.17632/kfv84tn65b.1
title: Data for: Molecular systematics of Pampus (Perciformes: Stromateidae) based on thousands of nuclear loci using target-gene enrichment
DOI: 10.17632/y68354wdsj.1
title: Data for: Just before sewing needles. A functional hypothesis for Gravettian Noailles-type burins from Isturitz cave (Basque Country, southwestern France)

description: Research data files form the paper "Just before sewing needles. A functional hypothesis for Gravettian Noailles-type burins from Isturitz cave (Basque Country, southwestern France)"
DOI: 10.5061/dryad.21f0h31/1
title: Uchida_et_al_2019_BEHECO

description: Data of Uchida et al. (2019) Behavioral Ecology
DOI: 10.5061/dryad.24bt62r/1
title: Combined supplement for dryad
DOI: 10.5061/dryad.4vk610r/1
title: Centralization_data

description: Contains matlab files containing data and a text README file that explains the data within the files
DOI: 10.5061/dryad.553fs8n/1
title: Tolerance_BL_Dataset

description: The data set asscoiated with the publication
DOI: 10.5061/dryad.58cs77r/1
title: Supplemental Tables

description: Description of cancer survivors after exclusion of overweight/obesity and subsequent functional outcomes data without these 2 conditions within the endocrine cohort
DOI: 10.5061/dryad.7kh57t5/1
title: Data from 'The impact of fossil stratigraphic ranges on tip-calibration, and the accuracy and precision of divergence time estimates'

description: This data package is composed of three components: 1. Appendices: appendices 1-5 which are supplementary figures and tables 2. R scripts: R scripts 1-4 used for our different simulation strategies: "1_Data_simulation_tree1_stem__Mk_MaxFoss_v2" This R script allows you to generate the 100 replicates simulation Nexus files for tree 1 (fossils in the stem group) using the parameters described in the article. "2_Data_simulation_tree2_crown_Mk_MaxFoss_v2" This R script allows you to generate the 100 replicates simulation Nexus files for tree 2 (fossils in the crown group) using the parameters described in the article. "3_Extract_ages_simulation_results" This R script allows to extract from the .p and .t files of MrBayes all the ages of the nodes from the posterior of 100 replicates in the tree for each calibration approach. It results in 5 .csv files. It can be used for both trees (1 stem and 2 crown) "4_Extract_ages_empirical_Ursidae" This R script allows to extract all the node ages from the the .p and .t files of MrBayes 3. Bear Molecular Clock analyses: composed of five folders with each calibration approach called "Maximum", "Minimum", "Minimum-maximum", "Min-max_95CI_max" and "Min-max_95CI_min". Inside these folders you have the nexus files necessary to run the empirical analyses in MrBayes and the output files after running the analyses.
DOI: 10.5061/dryad.7v4p29f/1
title: Age File

description: A file including taxon names and ages for use in the STRAP R package for calculation of stratigraphic congruence metrics.
DOI: 10.5061/dryad.7v4p29f/2
title: Code for STRAP Analyses

description: R Code to run analyses of stratigraphic congruence used in the manuscript.
DOI: 10.5061/dryad.7v4p29f/3
title: MPTs Reweighted

description: Most parsimonious trees from the reweighted parsimony analysis and used in STRAP analyses.
DOI: 10.5061/dryad.7v4p29f/4
title: MPTs Unweighted

description: Most parsimonious trees resulting from unweighted parsimony analysis.
DOI: 10.5061/dryad.7v4p29f/5
title: Stratigraphic Congruence Results

description: Table displaying results of stratigraphic congruence analyses.
DOI: 10.5061/dryad.8v3tq7c/1
title: Database_camera collar

description: The file contains the image information coded for this publication. A folder "Metadata" describes the variables. We removed the XY coordinates in order not to reveal precise spatial information of critical resources (e.g. waterpoints) due to concerns about illegal killings.
DOI: 10.5061/dryad.8v3tq7c/2
title: Khulan_camera_collar

description: This file contains information about the Behaviour of collared khulan, image tilt, and sensor data used for the classification trees
DOI: 10.5061/dryad.b61q0c2/1
title: Env Data 20190625

description: Data used in western monarch threats analysis.  Metadata included in README file
DOI: 10.5061/dryad.bs85242/1
title: Supplementary Sample Information

description: Supplementary Sample Information as well as SRA accession numbers.
DOI: 10.5061/dryad.bs85242/2
title: Additional Methods

description: Description of additional details for sampling, sequencing, and bioinformatic analyses.
DOI: 10.5061/dryad.ch4dp8n/1
title: Data Wolbachia-Spiroplasma association in Drosophila neotestacea

description: Time series describing the evolution of the association between Wolbachia and Spiroplasma in Drosophila neotestacea.
DOI: 10.5061/dryad.ch4dp8n/4
title: Table S4 Data Pea aphid symbionts

description: Data Pea aphid symbionts survey in Europe
DOI: 10.5061/dryad.f47d293/1
title: INF_AmpliSAS_output

description: Allele frequency data for INF group
DOI: 10.5061/dryad.f47d293/2
title: LA07_AmpliSAS_output

description: Allele frequency data for LA07 group
DOI: 10.5061/dryad.f47d293/3
title: UNI_AmpliSAS_output

description: Allele frequency data for UNI group
DOI: 10.5061/dryad.f47d293/4
title: Resampling_allelefreqs

description: Resampling data for determining significantly high and low allele frequencies for all groups and loci
DOI: 10.5061/dryad.g4gc2vs/1
title: pintail data

description: These include pintail population estimates and their standard errors, sex ratio estimates and their standard errors, band-recovery and direct live-encounter data, as well as data of environmental covariates (pond, cropland, grassland).
DOI: 10.5061/dryad.gf2np70/1
title: research related data
DOI: 10.5061/dryad.k74670v/10
title: dummies painted two colors, part 4

description: Data from males flies paired with rectangular dummies painted two colors. File is actually a single zip split into multiple parts (this is part 4). *.m files, with the following data structs: fly (position and orientation of fly during the trial), robot (position and orientation of robot), chases and chases2 (starts and ends of chases, each uses slightly different criteria to define a chase. data from chases struct used in paper), magloc_on_flyazi (matrix with the location of the magnet on the fly's azimuth at each time step). Data come from 10 minute trials.
DOI: 10.5061/dryad.k74670v/11
title: Differently painted dummies, part 5

description: Data from males flies paired with rectangular dummies painted two colors. File is actually a single zip split into multiple parts (this is part 5). *.m files, with the following data structs: fly (position and orientation of fly during the trial), robot (position and orientation of robot), chases and chases2 (starts and ends of chases, each uses slightly different criteria to define a chase. data from chases struct used in paper), magloc_on_flyazi (matrix with the location of the magnet on the fly's azimuth at each time step). Data come from 10 minute trials.
DOI: 10.5061/dryad.kg18b9c/1
title: Heine et al., UV data
DOI: 10.5061/dryad.n1kv40m/1
title: Comparison of litsearchr performance to other methods

description: Performance of search strategies developed with quasi-automated methods in comparison to conventional methods. Precision and recall data comes from the original publications for Sarol (2018), Belter et al. (2018) and Hausner et al. (2015). Data for the litsearchr performance comes from the separate file litsearchr precision and recall.xlsx
DOI: 10.5061/dryad.n1kv40m/2
title: litsearchr precision and recall

description: Results retrieved per database per search, used to measure the precision and recall of original, replicated, naive, and litsearchr searches for six reviews from Environmental Evidence.
DOI: 10.5061/dryad.nk764n1/1
title: biathlon DATA

description: Data file containing demographic variables, morphological measurements, performance metrics and attractiveness ratings for World Cup biathletes
DOI: 10.5061/dryad.nk764n1/2
title: biathlon ANALYSIS

description: R script to reproduce analyses of biathlete data reported in paper.
DOI: 10.5061/dryad.p226m8r/1
title: Data for Rittenhouse et al.

description: Data from Rittenhouse et al. "Variation in chronotype is associated with migratory timing in a songbird." Columns represent: bird ID, onset time of nocturnal activity, date of observation, day of observation relative to winter solstice, day of observation centered and scaled, onset date of migratory restlessness, onset day of migratory restlessness expressed as days since winter solstice, onset day of migratory restlessness centered and scaled, experimental group, sex.