cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5281099.v2
title: NBN Speedtest on HFC 50/20 in Hughesdale (4 Aug 2017) Vic 3166

description: A speedtest of NBN speeds was run across a weekend, every two hours, from Friday 8.00pm to Monday 8.00am. NBN was running in Hughesdale, 3166 Victoria over Telecube HFC 50/20 NBN subscription. The NBN is the Australian National Broadband Network. HFC is the payTV network (a hybrid fibre-coaxial network) and is currently sold at speeds up to 100/40 mbps (download/upload). The test is run on a residential premise with a 50/20 subscription with Telecube.<br>Speedtest is a network service to test an internet connection speed. See html5 version at http://beta.speedtest.net.<br><br>Speedtest recorded from server: 2225 Telstra Melbourne.List of servers available by running: speedtest-cli --list<br>Version:2. Out.csv deletes test data.1. Out.csv includes 12 lines of test data from Monash Uni LAN (speeds 200/100mbps). Now deleted in v2..<br>Recording:- upload (mbps)- download (mbps)- ping (milliseconds)and output to a csv file.<br>Code from: Github to run speedtest under python control. https://github.com/sivel/speedtest-cli (linked below).<br>Bash script executes speedtest. (Bash file attached here.)Cron controls automated execution of script and write out data to csv file. (out.csv).Further coding docs included in bash file: job.sh<br>Inspired by: https://forums.cacti.net/viewtopic.php?f=12&t=52732 <br>Cron: 5 */2 * * * cd ~/Downloads/speed/ && ./job.shRuns speedtest every two hours at five minutes past the hour.<br>Environment: MacBook Pro 2012 10.12.6 Python 2.7.10 (MacOS)<br>Data graphed (and data available) at plotly: https://plot.ly/~areff20000/46/ (linked below).<br>
DOI: 10.6084/m9.figshare.5281036
title: R script for Altmetric Analysis

description: This script shows the process of going from publications to aggregations on the journal level. The calculation of delta is explained and performed using the data.table package, and graphics are generated with ggplot2. Computation was performed running R version 3.3.0 on OSX 10.10.
DOI: 10.6084/m9.figshare.5281030
title: Ancillary Altmetric Datasets

description: These datasets are ancillary datasets used to abstract journal-wide information from the publication level. Dimensions-Publications is the raw data. result_altmetric_split provides a "melted" version (wide to long format) of the result dataset that allows us to see the raw difference in social aspects of altmetric vs. the other categories. Similarly, result_density is a melted version of result that allows us to do things like density estimation of the social aspects of altmetric vs. the other categories over time. <br>
DOI: 10.6084/m9.figshare.5281099.v3
title: NBN Speedtest on HFC 50/20 in Hughesdale (4 Aug 2017) Vic 3166

description: A speedtest of NBN speeds was run across a weekend, every two hours, from Friday 8.00pm to Monday 8.00am. NBN was running in Hughesdale, 3166 Victoria over Telecube HFC 50/20mbps NBN subscription. The NBN is the Australian National Broadband Network. HFC is the payTV network (a hybrid fibre-coaxial network) and is currently sold at speeds up to 100/40 mbps (download/upload). The test is run on a residential premise with a 50/20mbps subscription with Telecube. Where mbps is megabits per second, and 50/20 is 50mbps download and 20mbps upload.<br>Speedtest is a network service to test an internet connection speed. See html5 version at http://beta.speedtest.net.<br><br>Speedtest recorded from server: 2225 Telstra Melbourne.List of servers available by running: speedtest-cli --listRecommend: run speedtest against a single server to remove server speed variability. See http://whrl.pl/ReX2rn for server variability impact on speedtest.<br>Version:3. Added play2.csv tidied file including parsed date/time, where DayHr = Day.Hr and DayHr2 = Day.Hr*4 *i.e. close to per cent.2. Out.csv deletes test data.1. Out.csv includes 12 lines of test data from Monash Uni LAN (speeds 200/100mbps). Now deleted in v2..<br>Recording:- upload (mbps)- download (mbps)- ping (milliseconds)and output to a csv file.<br>Code from: Github to run speedtest under python control. https://github.com/sivel/speedtest-cli (linked below).<br>Bash script executes speedtest. (Bash file attached here.)Cron controls automated execution of script and write out data to csv file. (out.csv).Further coding docs included in bash file: job.sh<br>Inspired by: https://forums.cacti.net/viewtopic.php?f=12&t=52732 <br>Cron: 5 */2 * * * cd ~/Downloads/speed/ && ./job.shRuns speedtest every two hours at five minutes past the hour.<br>Environment: MacBook Pro 2012 10.12.6 Python 2.7.10 (MacOS)<br>Data graphed (and data available) at plotly: https://plot.ly/~areff20000/46/ (linked below).<br>
DOI: 10.6084/m9.figshare.5281099.v5
title: NBN Speedtest on HFC 50/20 in Hughesdale (4 Aug 2017) Vic 3166

description: A speedtest of NBN speeds was run across a weekend, every two hours, from Friday 8.00pm to Monday 8.00am. NBN was running in Hughesdale, 3166 Victoria over Telecube HFC 50/20mbps NBN subscription. The NBN is the Australian National Broadband Network. HFC is the payTV network (a hybrid fibre-coaxial network) and is currently sold at speeds up to 100/40 mbps (download/upload). The test is run on a residential premise with a 50/20mbps subscription with Telecube. Where mbps is megabits per second, and 50/20 is 50mbps download and 20mbps upload.<br>Now includes updated to NBN HFC 100/40 last week. Rerun test. Friday 8.00pm to Monday 8.00am (18-20 May 2018). Using same procedure.<br><br>Speedtest is a network service to test an internet connection speed. See html5 version at http://beta.speedtest.net.<br><br>Speedtest recorded from server: 2225 Telstra Melbourne.List of servers available by running: speedtest-cli --listRecommend: run speedtest against a single server to remove server speed variability. See http://whrl.pl/ReX2rn for server variability impact on speedtest.<br>Version:5. More data on 100/40 upgrade plan. File data200518new.csv added. New plot: Plotly:/50. New jpg. Plot200518.4. More data from 280817 - added every 15mins. File: data280817.csv. New plot: Plotly:/48. New jpg. Plot280817.3. Added play2.csv tidied file including parsed date/time, where DayHr = Day.Hr and DayHr2 = Day.Hr*4 *i.e. close to per cent.2. Out.csv deletes test data.1. Out.csv includes 12 lines of test data from Monash Uni LAN (speeds 200/100mbps). Now deleted in v2..<br>Recording:- upload (mbps)- download (mbps)- ping (milliseconds)and output to a csv file.<br>Code from: Github to run speedtest under python control. https://github.com/sivel/speedtest-cli (linked below).<br>Bash script executes speedtest. (Bash file attached here.)Cron controls automated execution of script and write out data to csv file. (out.csv).Further coding docs included in bash file: job.sh<br>Inspired by: https://forums.cacti.net/viewtopic.php?f=12&t=52732 <br>Cron: 5 */2 * * * cd ~/Downloads/speed/ && ./job.shRuns speedtest every two hours at five minutes past the hour.<br>Environment: MacBook Pro 2012 10.12.6 Python 2.7.10 (MacOS)<br>Data graphed (and data available) at plotly: https://plot.ly/~areff20000/46/ (linked below).<br>
DOI: 10.6084/m9.figshare.5281030.v2
title: Ancillary Altmetric Datasets

description: These datasets are ancillary datasets used to abstract journal-wide information from the publication level. Dimensions-Publications is the raw data. result_altmetric_split provides a "melted" version (wide to long format) of the result dataset that allows us to see the raw difference in social aspects of altmetric vs. the other categories. Similarly, result_density is a melted version of result that allows us to do things like density estimation of the social aspects of altmetric vs. the other categories over time. <br>
DOI: 10.6084/m9.figshare.5281036.v2
title: R script for Altmetric Analysis

description: This script shows the process of going from publications to aggregations on the journal level. The calculation of delta is explained and performed using the data.table package, and graphics are generated with ggplot2. Computation was performed running R version 3.3.0 on OSX 10.10.
DOI: 10.6084/m9.figshare.5281099.v6
title: NBN Speedtest on HFC 50/20 in Hughesdale (4 Aug 2017) Vic 3166

description: A speedtest of NBN speeds was run across a weekend, every two hours, from Friday 8.00pm to Monday 8.00am. NBN was running in Hughesdale, 3166 Victoria over Telecube HFC 50/20mbps NBN subscription. The NBN is the Australian National Broadband Network. HFC is the payTV network (a hybrid fibre-coaxial network) and is currently sold at speeds up to 100/40 mbps (download/upload). The test is run on a residential premise with a 50/20mbps subscription with Telecube. Where mbps is megabits per second, and 50/20 is 50mbps download and 20mbps upload.<br>Now includes updated to NBN HFC 100/40 last week. Rerun test. Friday 8.00pm to Monday 8.00am (18-20 May 2018). Using same procedure.<br><br>Speedtest is a network service to test an internet connection speed. See html5 version at http://beta.speedtest.net.<br><br>Speedtest recorded from server: 2225 Telstra Melbourne.List of servers available by running: speedtest-cli --listRecommend: run speedtest against a single server to remove server speed variability. See http://whrl.pl/ReX2rn for server variability impact on speedtest.<br>Version:5. More data on 100/40 upgrade plan. File data200518new.csv added. New plot: Plotly:/50. New jpg. Plot200518.4. More data from 280817 - added every 15mins. File: data280817.csv. New plot: Plotly:/48. New jpg. Plot280817.3. Added play2.csv tidied file including parsed date/time, where DayHr = Day.Hr and DayHr2 = Day.Hr*4 *i.e. close to per cent.2. Out.csv deletes test data.1. Out.csv includes 12 lines of test data from Monash Uni LAN (speeds 200/100mbps). Now deleted in v2..<br>Recording:- upload (mbps)- download (mbps)- ping (milliseconds)and output to a csv file.<br>Code from: Github to run speedtest under python control. https://github.com/sivel/speedtest-cli (linked below).<br>Bash script executes speedtest. (Bash file attached here.)Cron controls automated execution of script and write out data to csv file. (out.csv).Further coding docs included in bash file: job.sh<br>Inspired by: https://forums.cacti.net/viewtopic.php?f=12&t=52732 <br>Cron: 5 */2 * * * cd ~/Downloads/speed/ && ./job.shRuns speedtest every two hours at five minutes past the hour.<br>Environment: MacBook Pro 2012 10.12.6 Python 2.7.10 (MacOS)<br>Data graphed (and data available) at plotly: https://plot.ly/~areff20000/46/ (linked below).<br>
DOI: 10.6084/m9.figshare.5281030.v1
title: Ancillary Altmetric Datasets

description: These datasets are ancillary datasets used to abstract journal-wide information from the publication level. Dimensions-Publications is the raw data. result_altmetric_split provides a "melted" version (wide to long format) of the result dataset that allows us to see the raw difference in social aspects of altmetric vs. the other categories. Similarly, result_density is a melted version of result that allows us to do things like density estimation of the social aspects of altmetric vs. the other categories over time. <br>
DOI: 10.6084/m9.figshare.5280988
title: TREDPARSE supporting data: Simulated BAMs for series of Short Tandem Repeats

description: The simulation was performed using EAGLE. We simulated with 2x150bp reads with paired-end distance of 500bp (with standard deviation of 50bp), at varying level of sequencing depth (5x, 20x and 80x). The reads were then mapped to hg38 using BWA. The STR locus of interest is Huntington's Disease (HD), at location chr4:3074877-3074933.<br>Also included is the benchmark results of TREDPARSE and lobSTR on simulated haploid and diploid with one single allele with <i>h</i> number of CAGs, where <i>h</i> varies between 1 to 300 CAGs.<br>
DOI: 10.6084/m9.figshare.5280916
title: StAndrews ORCID survey 2017

description: Anonymised data set from a researcher survey conducted at the University of St Andrews from 19th June until 14th July 2017.
DOI: 10.6084/m9.figshare.5280919
title: Supplemental Data: A Network-Biology Informed Computational Drug Repositioning Strategy to Target Disease Risk Trajectories and Comorbidities of Peripheral Arterial Disease.

description: Supplemental Data: A Network-Biology Informed Computational Drug Repositioning Strategy to Target Disease Risk Trajectories and Comorbidities of Peripheral Arterial Disease. <br>
DOI: 10.6084/m9.figshare.5280919.v1
title: Supplemental Data: A Network-Biology Informed Computational Drug Repositioning Strategy to Target Disease Risk Trajectories and Comorbidities of Peripheral Arterial Disease.

description: Supplemental Data: A Network-Biology Informed Computational Drug Repositioning Strategy to Target Disease Risk Trajectories and Comorbidities of Peripheral Arterial Disease. <br>
DOI: 10.6084/m9.figshare.5280874
title: BROT plant functional trait database: Taxa file

description: List of all taxa names, including authority and Family, for all species considered in the Data file.
DOI: 10.6084/m9.figshare.5280877
title: BROT plant functional trait database: Synonymous file

description: List of synonymous for some of the BROT species.
DOI: 10.6084/m9.figshare.5280916.v2
title: StAndrews ORCID survey 2017

description: Anonymised data set from a researcher survey conducted at the University of St Andrews from 19th June until 14th July 2017.
DOI: 10.6084/m9.figshare.5280871
title: BROT plant functional trait database: Sources file

description: List of all sources of information (mainly published references) considered in the database
DOI: 10.6084/m9.figshare.5280862
title: DisPear model code implemented in NetLogo

description: <b>DisPear model code implemented in NetLogo </b> <b>Includes</b> · <b>Set up procedures</b> – routine to set up the model, build the landscape, initialize the seed dispersers (foxes and badgers) trees. · <b>Fruit fall</b> – code related to fruit fall (i.e. becoming available to seed dispersers) and status update.<b> </b> · <b>Seed dispersers procedures</b> – code related to seed dispersers movements, fruit eating, and seed delivery. · <b>Fruit retention times</b> – Logistic function defining the probability of frugivores defecating as a function of retention time.
DOI: 10.6084/m9.figshare.5280916.v1
title: StAndrews ORCID survey 2017

description: Anonymised data set from a researcher survey conducted at the University of St Andrews from 19th June until 14th July 2017.
DOI: 10.6084/m9.figshare.5280868
title: BROT plant functional trait database: Data file

description: Main file for the BROT database; it includes the species name, the functional traits and the data, together with some indication of the methods and the geographical coordinates. The columns TaxonID and SourceID can be used to link with the Taxa and the Source files, respectively.
DOI: 10.6084/m9.figshare.5280862.v1
title: DisPear model code implemented in NetLogo

description: <b>DisPear model code implemented in NetLogo </b> <b>Includes</b> · <b>Set up procedures</b> – routine to set up the model, build the landscape, initialize the seed dispersers (foxes and badgers) trees. · <b>Fruit fall</b> – code related to fruit fall (i.e. becoming available to seed dispersers) and status update.<b> </b> · <b>Seed dispersers procedures</b> – code related to seed dispersers movements, fruit eating, and seed delivery. · <b>Fruit retention times</b> – Logistic function defining the probability of frugivores defecating as a function of retention time.
DOI: 10.6084/m9.figshare.5280811
title: Six-Year Changes in Refraction and Related Ocular Biometric Factors in an Adult Chinese Population.dta

description: e2speqod1 represent SE at baseline;kod represent corneal power;CP represent lens power;aldf31d represent the difference in axial length between baseline and 6-year follow-upcages represent age groups.<br>
DOI: 10.6084/m9.figshare.5280811.v1
title: Six-Year Changes in Refraction and Related Ocular Biometric Factors in an Adult Chinese Population.dta

description: e2speqod1 represent SE at baseline;kod represent corneal power;CP represent lens power;aldf31d represent the difference in axial length between baseline and 6-year follow-upcages represent age groups.<br>
DOI: 10.6084/m9.figshare.5280733
title: A genetic screen suggests an alternative mechanism for inhibition of SecA by azide

description: A high-density transposon library constructed in BW25113 was grown in the absence or presence of 0.25 mM or 0.5 mM sodium azide. In the case of the 0 mM and 0.25 mM samples, cells were grown until OD600 = 1.0. In the case of of the 0.5 mM sodium azide sample, the cells were grown to OD600 = 0.9, at which point the cells stopped growing exponentially. The location of the transposons after growth was determined using Illumina sequecing. Libraries were prepared using arbirary PCR and sequenced using single-end reads. Reads were then processed an aligned to the genome sequence for Escherichia coli K-12 strain W3110 (NCBI accession AP009048.1). Please see associated manuscript at BiorXiv for a more detailed description of the experiment. <br>
DOI: 10.6084/m9.figshare.5280709
title: Defaunation implications for ecosystem carbon cycling and storage in tropical forests

description: This is a talk within the Ecological Society of America Annual Meeting 2017, Portland, USA, within symposium 10, "Animating Carbon Cycle".<b>Background/Question/Methods</b><b></b>A central goal in conservation biology is to understand how the extinction of species will affect key ecosystem services. Carbon storage is widely acknowledged as one of the most valuable forest ecosystem services. Deforestation, logging, fire, and climate change have significant effects on tropical carbon stocks; however, an elusive and yet undetected decrease in carbon storage may be due to defaunation of large vertebrates. Many large tropical trees with sizeable contributions to carbon stock rely on large vertebrates for seed dispersal and regeneration, however many of these frugivores are threatened by hunting, fragmentation, illegal trade, and habitat loss.<b>Results/Conclusions</b><b></b>We used a large data set on tree species composition and abundance, seed, fruit, and carbon-related traits, and &gt;8,000 plant-animal interactions to estimate the loss of carbon storage capacity of tropical forests in defaunated scenarios. By simulating the local extinction of trees that depend on large frugivores, we found that defaunation has the potential to significantly erode carbon storage even when only a small proportion of large-seeded trees are extirpated. Because we known that several plant species rely on several frugivores and that seed predators can also modulate plant recruitment, we studied the net contribution of each disperser and predator on the recruitment of a hardwood tree species. We found that both the loss of large seed predators and dispersers reduce plant recruitment affecting directly the potential carbon storage. The loss of large seed predators triggers the abundance of small rodents, leading to an increase in seed predation, reducing tree recruitment and carbon storage. Our studies are demonstrating that frugivores play a central role in shaping carbon storage in tropical forests.<br>
DOI: 10.6084/m9.figshare.5280712
title: 2D brain mapping and statistical analysis study

description: a small dataset illustrating some basic concepts in brain mapping
DOI: 10.6084/m9.figshare.5280733.v1
title: A genetic screen suggests an alternative mechanism for inhibition of SecA by azide

description: A high-density transposon library constructed in BW25113 was grown in the absence or presence of 0.25 mM or 0.5 mM sodium azide. In the case of the 0 mM and 0.25 mM samples, cells were grown until OD600 = 1.0. In the case of of the 0.5 mM sodium azide sample, the cells were grown to OD600 = 0.9, at which point the cells stopped growing exponentially. The location of the transposons after growth was determined using Illumina sequecing. Libraries were prepared using arbirary PCR and sequenced using single-end reads. Reads were then processed an aligned to the genome sequence for Escherichia coli K-12 strain W3110 (NCBI accession AP009048.1). Please see associated manuscript at BiorXiv for a more detailed description of the experiment. <br>
DOI: 10.6084/m9.figshare.5280709.v1
title: Defaunation implications for ecosystem carbon cycling and storage in tropical forests

description: This is a talk within the Ecological Society of America Annual Meeting 2017, Portland, USA, within symposium 10, "Animating Carbon Cycle".<br><br>
DOI: 10.6084/m9.figshare.5280712.v1
title: 2D brain mapping and statistical analysis study

description: a small dataset illustrating some basic concepts in brain mapping
DOI: 10.6084/m9.figshare.5280679
title: Deep Brain Stimulation in the Morris Water Maze

description: The following contains behavioural data from a study, in which rats underwent theta-burst deep-brain stimulation, inside a Morris Water Maze. Matlab is required for accessing and displaying this data. The following files are included:<br><b>README.txt</b> Instructions of use<br><b>MWMperf.mat</b>All of the rat performance data, as extracted from the video-tracking software "Smart" by Panlab. The data is stored inside a structure, which can be accessed manually in Matlab.<br><b>MWM_proc_data.m</b>Run this program in Matlab, for displaying the data and performing statistics. For instructions of use, type the following into the Matlab command window.<br>help MWM_proc_data<br>When displaying the data in Matlab, the following labels are used to refer to the rat groups:<br><b>SHAM</b>Sham group (n=21). <br><b>BEF</b>Rats stimulated for 30-minutes before an acquisition session (n=11).<br><b>DUR</b>Rats stimulated during an acquisition session (n=12).
DOI: 10.6084/m9.figshare.5280619
title: Lineout Supplementary Tables.pdf

description: Supplementary tables for Smith, TB., Hébert-Losier, K. & McClymont D. An examination of the jump-and-lift factors influencing the time to reach peak catch height during a Rugby Union lineout. Journal of Sports Sciences. DOI: 10.1080/02640414.2017.1364401
DOI: 10.6084/m9.figshare.5280592
title: The effects of d-aspartic acid supplementation in resistance-trained men over a three month training period

description: The minimal dataset for this publication includes, data for hormones, ultrasound, strength and neural measures.
DOI: 10.6084/m9.figshare.5280586
title: Immunophenotypic analysis of adult patients with T-cell lymphoblastic lymphoma treated with hyper-CVAD

description: <b>Objectives:</b> Immunophenotype is an important prognostic factor for childhood and adult T-cell acute lymphoblastic leukemia. However, immunophenotypic data from adult patients with T-cell lymphoblastic lymphoma (T-LBL) are scarcely available. <b>Methods:</b> Subjects were unselected adult patients with T-LBL who were treated with intensive chemotherapy. Immunophenotyping of tumor cells was performed according to standard techniques. <b>Results:</b> A total of eight patients with a median age of 31 years were analyzed who received hyper-CVAD treatment for LBL. Immunophenotypic analysis showed that the most common tumor type was cortical T-cell type [early T (<i>n</i> = 2), cortical T (<i>n</i> = 4), and medullary T (<i>n</i> = 2)]. Two patients diagnosed with early T-cell type had early disease progression. <b>Conclusions:</b> Assessment of T-cell differentiation stages in malignant T lymphoblasts would be important in choosing treatment strategies for adult patients with T-LBL.
DOI: 10.34760/5f47996de13b3
title: Skeleton 1000 
title: 2
DOI: 10.6084/m9.figshare.5280265
title: Dataset for: SpinDynamica: Symbolic and numerical magnetic resonance in a <i>Mathematica</i> environment

description: <i>SpinDynamica</i> is a set of <i>Mathematica</i> packages for performing numerical and symbolic analysis of a wide range of magnetic resonance experiments and phenomena. An overview of the <i>SpinDynamica</i> architecture and functionality is given, with some simple representative examples.