cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.2199646.v7
title: TV Series - Networks of characters

description: Sets of files related to the <b>social networks of characters</b> in the following episodes of <b>3 TV series</b>:<br><br>- <i>Breaking Bad</i> (BB): S01 - S02 - S03 (E01--05).<br>- <i>Game of Thrones</i> (GoT): S01 - S02 - S03 (E01--02).<br>- <i>House of Cards</i> (HoC): S01 - S02.<br><br><br>The <b>compressed archives</b> (.tgz extension) provide <b>snapshots</b> of the conversational network of characters (<b>graphml</b> format) <b>in every scene</b>. These files come in <b>three</b> flavours:<br><br>1/ '<b>Narrative smoothing</b>' based networks (denoted '<b>ns</b>'). <br><br>2/ <b>Time-slice </b>based networks<b>,</b> where all interactions are agglomerated every <b>10</b> scenes (denoted '<b>ts10'</b>).<br><br>3/ <b>Time-slice </b>based networks, where all interactions are agglomerated every <b>40</b> scenes (denoted '<b>ts40'</b>).<br><br><br>In addition, <b>three separate graphml files</b> are provided: they contain the static, <b>cumulative</b>, conversational networks at the <b>end</b> of the set of episodes considered.<br><br><br>The <b>video files</b> (.mp4 extension) contain short <b>animations</b> of the <b>dynamic</b> networks of characters as they evolve over the whole set of episodes considered:<br><br>- The <b>nodes</b> are represented by the <b>names</b> of the corresponding characters and the <b>distance</b> between two character names is inversely proportional to the <b>weight</b> of the corresponding edge: the closer they are at some point of the story, the more they interact then.<br><br>- The <b>color intensity</b> of each <b>character name</b> is proportional to the <b>local strength</b> of the corresponding character at the moment considered.<br><br>Each <b>snapshot</b> in these animations is based on our '<b>narrative smoothing</b>' approach. <br>
DOI: 10.6084/m9.figshare.2198989
title: Movie file for Breaking the succession rule: the costs and benefits of an alpha-status take-over by an immigrant rhesus macaque on Cayo Santiago

description: Explaining intraspecific variation in reproductive tactics hinges on measuring associated costs and benefits. Yet, this is difficult if alternative (purportedly less optimal) tactics remain unobserved. We describe a rare alpha-position take-over by an immigrant male rhesus macaque in a population where males typically gain rank via succession. Unusually, male aggressiveness after the take-over correlated with rank and mating success. The new alpha achieved the highest mating and reproductive success. Nevertheless, he sired only 4 infants due to high extra-group paternity (59.3%). The costs of his immigration tactic were high: after the mating season ended, unable to deter coalitionary attacks by resident males, he was overthrown. The following year he had the highest relative annual weight loss and levels of immune activation among males in the group. Succession-based rank-acquisition in large, provisioned groups of macaques thus appears to be actively maintained by resident males, who impose high costs on challengers.
DOI: 10.6084/m9.figshare.2198992
title: Inhibition of TREM-1 and Dectin-1 Alleviates the Severity of Fungal Keratitis by Modulating Innate Immune Responses

description: The data from Manuscript" Inhibition of TREM-1 and Dectin-1 Alleviates the Severity of Fungal Keratitis by Modulating Innate Immune Responses "
DOI: 10.6084/m9.figshare.2885308.v312
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x (590d57f32fed). See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2198989.v1
title: Movie file for Breaking the succession rule: the costs and benefits of an alpha-status take-over by an immigrant rhesus macaque on Cayo Santiago

description: Explaining intraspecific variation in reproductive tactics hinges on measuring associated costs and benefits. Yet, this is difficult if alternative (purportedly less optimal) tactics remain unobserved. We describe a rare alpha-position take-over by an immigrant male rhesus macaque in a population where males typically gain rank via succession. Unusually, male aggressiveness after the take-over correlated with rank and mating success. The new alpha achieved the highest mating and reproductive success. Nevertheless, he sired only 4 infants due to high extra-group paternity (59.3%). The costs of his immigration tactic were high: after the mating season ended, unable to deter coalitionary attacks by resident males, he was overthrown. The following year he had the highest relative annual weight loss and levels of immune activation among males in the group. Succession-based rank-acquisition in large, provisioned groups of macaques thus appears to be actively maintained by resident males, who impose high costs on challengers.
DOI: 10.6084/m9.figshare.2951263.v317
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2198986
title: Toxicity and physicochemical data for MWCNT-7, asbestos and glass wool

description: Data compiled from Nymark et al, 2014 (doi: 10.1186/1743-8977-11-4.)<br>
DOI: 10.6084/m9.figshare.2198992.v2
title: Inhibition of TREM-1 and Dectin-1 Alleviates the Severity of Fungal Keratitis by Modulating Innate Immune Responses

description: The data from Manuscript" Inhibition of TREM-1 and Dectin-1 Alleviates the Severity of Fungal Keratitis by Modulating Innate Immune Responses "
DOI: 10.6084/m9.figshare.2199646.v8
title: TV Series - Networks of characters

description: Sets of files related to the <b>social networks of characters</b> in the following episodes of <b>3 TV series</b>:<br><br>- <i>Breaking Bad</i> (BB): S01 - S02 - S03 (E01--05).<br>- <i>Game of Thrones</i> (GoT): S01 - S02 - S03 (E01--02).<br>- <i>House of Cards</i> (HoC): S01 - S02.<br><br><br>The <b>three separate graphml files</b> (.graphml extension) contain the static, <b>cumulative</b>, conversational networks at the <b>end</b> of the set of episodes considered.<br><br>Three <b>images</b> (.jpg extension) of the resulting static<b>, cumulative</b>, conversational networks are also provided. <br><br><br>The <b>compressed archives</b> (.tgz extension) provide <b>snapshots</b> of the conversational network of characters (<b>graphml</b> format) <b>in every scene</b>. These files come in <b>three</b> flavours:<br><br>1/ '<b>Narrative smoothing</b>' based networks (denoted '<b>ns</b>'). <br><br>2/ <b>Time-slice </b>based networks<b>,</b> where all interactions are agglomerated every <b>10</b> scenes (denoted '<b>ts10'</b>).<br><br>3/ <b>Time-slice </b>based networks, where all interactions are agglomerated every <b>40</b> scenes (denoted '<b>ts40'</b>).<br><br><br>The <b>video files</b> (.mp4 extension) contain short <b>animations</b> of the <b>dynamic</b> networks of characters as they evolve over the whole set of episodes considered:<br><br>- The <b>nodes</b> are represented by the <b>names</b> of the corresponding characters and the <b>distance</b> between two character names is inversely proportional to the <b>weight</b> of the corresponding edge: the closer they are at some point of the story, the more they interact then.<br><br>- The <b>color intensity</b> of each <b>character name</b> is proportional to the <b>local strength</b> of the corresponding character at the moment considered.<br><br>Each <b>snapshot</b> in these animations is based on our '<b>narrative smoothing</b>' approach. <br>
DOI: 10.6084/m9.figshare.2885308.v313
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x (590d57f32fed). See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2951263.v318
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2199646.v9
title: TV Series - Networks of characters

description: Sets of files related to the <b>social networks of characters</b> in the following episodes of <b>3 TV series</b>:<br>- <i>Breaking Bad</i> (BB): S01 - S02 - S03 (E01--05).<br>- <i>Game of Thrones</i> (GoT): S01 - S02 - S03 (E01--02).<br>- <i>House of Cards</i> (HoC): S01 - S02.<br><br>The <b>three separate graphml files</b> (.graphml extension) contain the static, <b>cumulative</b>, conversational networks at the <b>end</b> of the set of episodes considered.<br><br>Three <b>images</b> (.jpg extension) of the resulting static<b>, cumulative</b>, conversational networks are also provided. <br><br>The <b>compressed archives</b> (.tgz extension) provide <b>snapshots</b> of the conversational network of characters (<b>graphml</b> format) <b>in every scene</b>. These files come in <b>three</b> flavours:<br>1/ '<b>Narrative smoothing</b>' based networks (denoted '<b>ns</b>'). <br>2/ <b>Time-slice </b>based networks<b>,</b> where all interactions are agglomerated every <b>10</b> scenes (denoted '<b>ts10'</b>).<br>3/ <b>Time-slice </b>based networks, where all interactions are agglomerated every <b>40</b> scenes (denoted '<b>ts40'</b>).<br><br>The <b>video files</b> (.mp4 extension) contain short <b>animations</b> of the <b>dynamic</b> networks of characters as they evolve over the whole set of episodes considered (a bit more for GoT):<br>- The <b>nodes</b> are represented by the <b>names</b> of the corresponding characters and the <b>distance</b> between two character names is inversely proportional to the <b>weight</b> of the corresponding edge: the closer they are at some point of the story, the more they interact then.<br>- The <b>size</b> of each <b>character name</b> is proportional to the <b>local strength</b> of the corresponding character at the moment considered.<br>- The <b>color</b> of each <b>character name </b>corresponds to his <b>community</b> at any moment. <br>Each <b>snapshot</b> in these animations is based on our '<b>narrative smoothing</b>' approach.<br><br><b>Reference</b>:<br>Xavier Bost, Vincent Labatut, Georges Linarès. <i>Narrative smoothing: dynamic conversational network for the analysis of TV Series plots</i>, 2016.<br>https://hal.archives-ouvertes.fr/hal-01276708<br>http://arxiv.org/abs/1602.07811<br><br> <br>
DOI: 10.6084/m9.figshare.2198986.v1
title: Tox_and_physchem_data_miRNAno.xlsx

description: Data compiled from Nymark et al, 2014 (doi: 10.1186/1743-8977-11-4.)<br>
DOI: 10.6084/m9.figshare.2198992.v1
title: Inhibition of TREM-1 and Dectin-1 Alleviates the Severity of Fungal Keratitis by Modulating Innate Immune Responses

description: The data from Manuscript" Inhibition of TREM-1 and Dectin-1 Alleviates the Severity of Fungal Keratitis by Modulating Innate Immune Responses "
DOI: 10.6084/m9.figshare.2198986.v3
title: Toxicity and physicochemical data for MWCNT-7, asbestos and glass wool

description: Data compiled from Nymark et al, 2014 (doi: 10.1186/1743-8977-11-4.)<br>
DOI: 10.6084/m9.figshare.2885308.v314
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x (590d57f32fed). See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2198986.v2
title: Tox_and_physchem_data_Nymark2014.xlsx

description: Data compiled from Nymark et al, 2014 (doi: 10.1186/1743-8977-11-4.)<br>
DOI: 10.6084/m9.figshare.2951263.v319
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2885308.v315
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x (590d57f32fed). See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2198878
title: Homology model of Zika glycoprotein E as antiparallel dimer more relevant for conformation on virus surface

description: A homology model generated in Swiss Model using Japanese Encephalitis Virus Envelope Protein http://swissmodel.expasy.org/templates/3p54.1 as template <br>
DOI: 10.6084/m9.figshare.2951263.v320
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2198878.v1
title: Homology model of Zika glycoprotein E as antiparallel dimer more relevant for conformation on virus surface

description: A homology model generated in Swiss Model using Japanese Encephalitis Virus Envelope Protein http://swissmodel.expasy.org/templates/3p54.1 as template <br>
DOI: 10.6084/m9.figshare.2885308.v316
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x (590d57f32fed). See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2951263.v321
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2198773
title: Regulatory region definitions

description: Annotations of 'regulatory regions' generated and described in article 'An integrative analysis of non-coding regulatory DNA variations associated with autism'. All coordinates are human hg19 assembly. Refer to article for details, including references and funding.<br>
DOI: 10.6084/m9.figshare.2885308.v317
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x (590d57f32fed). See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2951263.v322
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2885308.v318
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x (590d57f32fed). See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2951263.v323
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2182756
title: Nutritional status of maintenance dialysis patients: Low lean body mass index and obesity are common, protein-energy wasting is uncommon.

description: <b>Nutritional status of maintenance dialysis patients: Low lean body mass index and obesity is common, protein-energy wasting is uncommon</b> <b>Abstract</b> <b>Background and aims:</b> Maintenance dialysis patients are at increased risk of abnormal nutritional status due to numerous causative factors, both nutritional and non-nutritional. The present study assessed the current prevalence of protein-energy wasting, low lean body mass index and obesity in maintenance dialysis patients, and compared different methods of nutritional assessment. <b></b> <b>Methods: </b>In a cross-sectional study conducted in 2014 at Roskilde Hospital, Denmark, we performed anthropometry (body weight, skinfolds, mid-arm, waist, and hip circumferences), and determined plasma albumin and normalized protein catabolic rate in order to assess the prevalence of protein-energy wasting, low lean body mass index and obesity in these patients.<b></b> <b>Results:</b> Seventy-nine eligible maintenance dialysis patients participated. The prevalence of protein-energy wasted patients was 4% (95% CI: 2-12) as assessed by the coexistence of low lean body mass index and low fat mass index. Low lean body mass index was seen in 32% (95% CI: 22-44). Obesity prevalence as assessed from fat mass index was 43% (95% CI: 32-55). Coexistence of low lean body mass index and obesity was seen in 10% (95% CI: 5-19). The prevalence of protein-energy wasting and obesity varied considerably, depending on nutritional assessment methodology. <b>Conclusions:</b> Our data indicate that protein-energy wasting is uncommon, whereas low lean body mass index and obesity are frequent conditions among patients in maintenance dialysis. A focus on how to increase and preserve lean body mass in dialysis patients is suggested in the future. In order to clearly distinguish between shortage, sufficiency and abundance of protein and/or fat deposits in maintenance dialysis patients, we suggest the simple measurements of lean body mass index and fat mass index.
DOI: 10.6084/m9.figshare.2182738
title: Facebook and Twitter use by Public Libraries and University Libraries in New Zealand

description: This data set comprises Facebook likes and Twitter follower data for social media accounts owned by New Zealand Public Libraries and University libraries.This data was collected on 3rd February 2016.This data set has been shared “as is”, for educational and research purposes.This file was created and shared by Sarah Gallagher @sarahlibrarina (University of Otago, Dunedin, New Zealand) with a Creative Commons Attribution license (CC-BY) to encourage research in scholarly communication using New Zealand content.
DOI: 10.6084/m9.figshare.2885308.v319
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x (590d57f32fed). See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2951263.v324
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2182732
title: Presentation: Digital Literacy and Scholarship at the University of Auckland

description: Presentation on progress on Digital Literacy and Scholarship for Researchers at the New Zealand eResearch Symposium, February 2016
DOI: 10.6084/m9.figshare.2182738.v1
title: Facebook and Twitter use by Public Libraries and University Libraries in New Zealand

description: This data set comprises Facebook likes and Twitter follower data for social media accounts owned by New Zealand Public Libraries and University libraries.This data was collected on 3rd February 2016.This data set has been shared “as is”, for educational and research purposes.This file was created and shared by Sarah Gallagher @sarahlibrarina (University of Otago, Dunedin, New Zealand) with a Creative Commons Attribution license (CC-BY) to encourage research in scholarly communication using New Zealand content.
DOI: 10.6084/m9.figshare.2885308.v320
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x (590d57f32fed). See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2182729
title: Diagnostic accuracy of lateral flow urine LAM assay for TB screening of adults with advanced immunosuppression attending routine HIV care in South Africa

description: Dataset for evaluation of diagnostic accuracy of Determine TB-LAM (LF-LAM) to screen for tuberculosis among ambulatory adults established in HIV care with CD4&lt;200x10<sup>6</sup>/l, in South Africa. <br>
DOI: 10.6084/m9.figshare.2182756.v1
title: S1 Datafile.xls

description: <b>Nutritional status of maintenance dialysis patients: Low lean body mass index and obesity is common, protein-energy wasting is uncommon</b> <b>Abstract</b> <b>Background and aims:</b> Maintenance dialysis patients are at increased risk of abnormal nutritional status due to numerous causative factors, both nutritional and non-nutritional. The present study assessed the current prevalence of protein-energy wasting, low lean body mass index and obesity in maintenance dialysis patients, and compared different methods of nutritional assessment. <b></b> <b>Methods: </b>In a cross-sectional study conducted in 2014 at Roskilde Hospital, Denmark, we performed anthropometry (body weight, skinfolds, mid-arm, waist, and hip circumferences), and determined plasma albumin and normalized protein catabolic rate in order to assess the prevalence of protein-energy wasting, low lean body mass index and obesity in these patients.<b></b> <b>Results:</b> Seventy-nine eligible maintenance dialysis patients participated. The prevalence of protein-energy wasted patients was 4% (95% CI: 2-12) as assessed by the coexistence of low lean body mass index and low fat mass index. Low lean body mass index was seen in 32% (95% CI: 22-44). Obesity prevalence as assessed from fat mass index was 43% (95% CI: 32-55). Coexistence of low lean body mass index and obesity was seen in 10% (95% CI: 5-19). The prevalence of protein-energy wasting and obesity varied considerably, depending on nutritional assessment methodology. <b>Conclusions:</b> Our data indicate that protein-energy wasting is uncommon, whereas low lean body mass index and obesity are frequent conditions among patients in maintenance dialysis. A focus on how to increase and preserve lean body mass in dialysis patients is suggested in the future. In order to clearly distinguish between shortage, sufficiency and abundance of protein and/or fat deposits in maintenance dialysis patients, we suggest the simple measurements of lean body mass index and fat mass index.
DOI: 10.6084/m9.figshare.2951263.v325
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.