cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.2202928
title: Hole-board task data

description: Order pecked and latency to peck each cue for each bird. P and N values are averages of 5 available cues whilst NP, M and NN values are raw data. Where a cue is not pecked it was given the value equal to the average of the remaining ranks. For latency data, where a cue is not pecked it was given the value of the last pecked cue plus 60 seconds (time to the end of the trial) and divided by the number of that type of cue that was pecked.
DOI: 10.6084/m9.figshare.2202928.v1
title: Hole-board task data

description: Order pecked and latency to peck each cue for each bird. P and N values are averages of 5 available cues whilst NP, M and NN values are raw data. Where a cue is not pecked it was given the value equal to the average of the remaining ranks. For latency data, where a cue is not pecked it was given the value of the last pecked cue plus 60 seconds (time to the end of the trial) and divided by the number of that type of cue that was pecked.
DOI: 10.6084/m9.figshare.2885308.v301
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.v308
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.v302
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: 10.17866/rd.salford2201281
title: A study on the relationship between the intelligibility and quality of algorithmically-modified speech
DOI: 10.6084/m9.figshare.2885308.v303
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.v309
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.v304
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.v310
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.2199571
title: A Shipping Container-Based Sterile Processing Unit for Low Resources Settings

description: These data are the field note recordings of an experiment about sterile processing conducted at Rice University, Houston, TX, USA, during the summer of 2015. The notes are for 61 experimental trials of decontamination and sterilization efficacy of a sterile processing unit designed and built for low resources settings (i.e., a healthcare facility located off the grid of a developing country).<br>
DOI: 10.6084/m9.figshare.2199646
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 - - S03.<br>- <i>Game of Thrones</i> (GoT): S01--05.<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 at the end of the <b>first two seasons</b> 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:<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.2200426
title: An analysis of planned versus delivered airway doses during stereotactic lung radiotherapy for central tumors

description: An analysis of planned versus delivered airway doses during stereotactic lung radiotherapy for central tumors
DOI: 10.6084/m9.figshare.2951263.v311
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.2200426.v1
title: An analysis of planned versus delivered airway doses during stereotactic lung radiotherapy for central tumors

description: An analysis of planned versus delivered airway doses during stereotactic lung radiotherapy for central tumors
DOI: 10.6084/m9.figshare.2885308.v305
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.2199088
title: RAW_DATA_Ramon_et_al_PLOSone.zip

description: raw data for all experiments reported in Ramon et al (in press, PLOS ONE)
DOI: 10.6084/m9.figshare.2199571.v2
title: A Shipping Container-Based Sterile Processing Unit for Low Resources Settings

description: These data are the field note recordings of an experiment about sterile processing conducted at Rice University, Houston, TX, USA, during the summer of 2015. The notes are for 61 experimental trials of decontamination and sterilization efficacy of a sterile processing unit designed and built for low resources settings (i.e., a healthcare facility located off the grid of a developing country).<br>
DOI: 10.6084/m9.figshare.2199088.v1
title: RAW_DATA_Ramon_et_al_PLOSone.zip

description: raw data for all experiments reported in Ramon et al (in press, PLOS ONE)
DOI: 10.6084/m9.figshare.2885308.v306
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.2199085
title: DATA.pdf

description: Evaluation of the profitability of quality labels in rural tourism accommodation : a hedonic approach using propensity score matching<br>Data used
DOI: 10.6084/m9.figshare.2199571.v1
title: ExperimentData_SchulerSterileBox_2015.PDF

description: These data are the field note recordings of an experiment about sterile processing conducted at Rice University, Houston, TX, USA, during the summer of 2015. The notes are for 61 experimental trials of decontamination and sterilization efficacy of a sterile processing unit designed and built for low resources settings (i.e., a healthcare facility located off the grid of a developing country).<br>
DOI: 10.6084/m9.figshare.2199646.v1
title: TV Series - Networks of characters

description: Set of graph files ('.graphml format') corresponding to <b>dynamic conversational networks</b> extracted from 3 <b>TV series</b>:<br><br>- <i>Breaking Bad</i> (bb): S01 + S02.<br>- <i>Game of Thrones</i> (GoT): S01 + S02.<br>- <i>House of Cards</i> (HoC): S01 + S02.<br><br> Each file provides a full snapshot of the conversational network of characters in any scene, identified by its number, along with the season and episode it comes from.<br>
DOI: 10.6084/m9.figshare.2951263.v312
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.2199085.v1
title: DATA.pdf

description: Evaluation of the profitability of quality labels in rural tourism accommodation : a hedonic approach using propensity score matching<br>Data used
DOI: 10.6084/m9.figshare.2199028
title: Feasibility of quantifying arterial cerebral blood volume using multiphase alternate ascending/descending directional navigation (ALADDIN)

description: In this study, we evaluated the feasibility of a new 2D inter-slice bSSFP-based arterial spin labeling (ASL) technique termed, alternate ascending/descending directional navigation (ALADDIN), to quantify aCBV using multiphase acquisition in six healthy subjects. As a result of fitting to the proposed model, aCBV values in gray matter (1.4 – 2.3 mL/100 mL) were in good agreement with those from literature.
DOI: 10.6084/m9.figshare.2199646.v2
title: TV Series - Networks of characters

description: Set of graph files ('.graphml' format) corresponding to <b>dynamic conversational networks</b> extracted from 3 <b>TV series</b>:<br><br>- <i>Breaking Bad</i> (BB): S01 + S02.<br>- <i>Game of Thrones</i> (GoT): S01 + S02.<br>- <i>House of Cards</i> (HoC): S01 + S02.<br><br> Each file provides a full snapshot of the conversational network of characters in any scene, identified by its number, along with the season and episode it comes from.<br>
DOI: 10.6084/m9.figshare.2885308.v307
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.2199028.v2
title: Feasibility of quantifying arterial cerebral blood volume using multiphase alternate ascending/descending directional navigation (ALADDIN)

description: In this study, we evaluated the feasibility of a new 2D inter-slice bSSFP-based arterial spin labeling (ASL) technique termed, alternate ascending/descending directional navigation (ALADDIN), to quantify aCBV using multiphase acquisition in six healthy subjects. As a result of fitting to the proposed model, aCBV values in gray matter (1.4 – 2.3 mL/100 mL) were in good agreement with those from literature.
DOI: 10.6084/m9.figshare.2199646.v3
title: TV Series - Networks of characters

description: Sets of files related to the <b>social networks of characters</b> in the first two seasons of <b>3 TV series</b>:<br><br>- <i>Breaking Bad</i> (BB).<br>- <i>Game of Thrones</i> (GoT).<br>- <i>House of Cards</i> (HoC).<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>.<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 first two seasons. 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, the more they interact at some point of the story. <br>
DOI: 10.6084/m9.figshare.2951263.v313
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.v308
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.2199028.v1
title: Feasibility of quantifying arterial cerebral blood volume using multiphase alternate ascending/descending directional navigation (ALADDIN)

description: In this study, we evaluated the feasibility of a new 2D inter-slice bSSFP-based arterial spin labeling (ASL) technique termed, alternate ascending/descending directional navigation (ALADDIN), to quantify aCBV using multiphase acquisition in six healthy subjects. As a result of fitting to the proposed model, aCBV values in gray matter (1.4 – 2.3 mL/100 mL) were in good agreement with those from literature.
DOI: 10.6084/m9.figshare.2199646.v4
title: TV Series - Networks of characters

description: Sets of files related to the <b>social networks of characters</b> in the first two seasons of <b>3 TV series</b>:<br><br>- <i>Breaking Bad</i> (BB).<br>- <i>Game of Thrones</i> (GoT).<br>- <i>House of Cards</i> (HoC).<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>.<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 first two seasons:<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>
DOI: 10.6084/m9.figshare.2951263.v314
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.2199001
title: D-BRAIN: simulated diffusion MRI brain data.

description: Diffusion MRI phantom data sets - D-BRAIN data sets - "acquired" at different b-values. The data are stored in NIFTI format, the corresponding b-matrices are stored in txt files.<br>
DOI: 10.6084/m9.figshare.2885308.v309
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.2199646.v5
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.2885308.v310
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.2199001.v1
title: DBRAIN.zip

description: Diffusion MRI phantom data sets - D-BRAIN data sets - "acquired" at different b-values. The data are stored in NIFTI format, the corresponding b-matrices are stored in txt files.<br>
DOI: 10.6084/m9.figshare.2951263.v315
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.2198995
title: Threat of shock face ID pooled mega-analysis

description: A mega analysis (N=97) of the reaction time to face stimuli in this paper our original paper (http://www.sciencedirect.com/science/article/pii/S1053811911014017) and an unpublished dataset collected at University College London
DOI: 10.6084/m9.figshare.2199646.v6
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.2885308.v311
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.2198995.v1
title: Threat of shock face ID pooled mega-analysis

description: A mega analysis (N=97) of the reaction time to face stimuli in this paper our original paper (http://www.sciencedirect.com/science/article/pii/S1053811911014017) and an unpublished dataset collected at University College London
DOI: 10.6084/m9.figshare.2199001.v2
title: D-BRAIN: Anatomically accurate simulated diffusion MRI brain data.

description: Diffusion MRI phantom data sets - D-BRAIN data sets - "acquired" at different b-values. The data are stored in NIFTI format, the corresponding b-matrices are stored in txt files.<br>
DOI: 10.6084/m9.figshare.2951263.v316
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.