cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3798459
title: Live blog for LIS journal publishing for the digital age: A GLAMR dissemination and preservation model

description: This live blog was developed during the presentation of the paper LIS journal publishing for the digital age: A GLAMR dissemination and preservation model, at the ALIA National Conference in Adelaide, Australia, 30 August 2016, concurrent session 6.
DOI: 10.6084/m9.figshare.3798459.v2
title: Live blog for LIS journal publishing for the digital age: A GLAMR dissemination and preservation model

description: This live blog was developed during the presentation of the paper LIS journal publishing for the digital age: A GLAMR dissemination and preservation model, at the ALIA National Conference in Adelaide, Australia, 30 August 2016, concurrent session 6.
DOI: 10.6084/m9.figshare.3798459.v1
title: Live blog for LIS journal publishing for the digital age: A GLAMR dissemination and preservation model

description: This live blog was developed during the presentation of the paper LIS journal publishing for the digital age: A GLAMR dissemination and preservation model, at the ALIA National Conference in Adelaide, Australia, 30 August 2016, concurrent session 6.
DOI: 10.6084/m9.figshare.3798429
title: Multigene phylogeny of <i>Synura</i> (Synurophyceae) and descriptions of four new species based on morphological and DNA evidence

description: We used phylogenetic analyses based on multiple gene sequences (partial nr SSU and LSU rDNA, partial pt LSU rDNA, <i>psa</i>A and <i>rbc</i>L) from 148 strains (including three outgroups) and scale ultrastructure to examine phylogenetic relationships among species of the colonial genera <i>Synura</i> and <i>Tessellaria</i>. The phylogenetic tree based on the combined dataset was congruent with ultrastructural characteristics of the scales. <i>Synura</i> was divided into three major clades, two including species in section <i>Synura</i>, and one representing section <i>Peterseniae</i>. One clade, consisting of seven strains of <i>S. uvella</i> (section <i>Synura</i>), diverged at the base of the genus. The second clade consisted of the remaining species belonging to the section <i>Synura</i>. The third clade, containing organisms in the section <i>Peterseniae</i> and characterized by scales possessing a keel, was monophyletic with strong support values. Based on our findings, <i>S. uvella</i> needs to be in a separate section from other spine-bearing species, and we therefore propose new sectional ranks; <i>Synura, Peterseniae, Curtispinae</i> (presence of body scales with slender spines, tubular scales and caudal scales). We further propose four new species based on phylogenetic analyses and unique scale characters: <i>S. longitubularis</i> sp. nov., <i>S. sungminbooi</i> sp. nov., <i>S. soroconopea</i> sp. nov. and <i>S. lanceolata</i> sp. nov. Lastly, we propose a new genus name, <i>Neotessella</i>, to replace the invalid use of the name <i>Tessellaria</i>.
DOI: 10.6084/m9.figshare.3798429.v1
title: Multigene phylogeny of <i>Synura</i> (Synurophyceae) and descriptions of four new species based on morphological and DNA evidence

description: We used phylogenetic analyses based on multiple gene sequences (partial nr SSU and LSU rDNA, partial pt LSU rDNA, <i>psa</i>A and <i>rbc</i>L) from 148 strains (including three outgroups) and scale ultrastructure to examine phylogenetic relationships among species of the colonial genera <i>Synura</i> and <i>Tessellaria</i>. The phylogenetic tree based on the combined dataset was congruent with ultrastructural characteristics of the scales. <i>Synura</i> was divided into three major clades, two including species in section <i>Synura</i>, and one representing section <i>Peterseniae</i>. One clade, consisting of seven strains of <i>S. uvella</i> (section <i>Synura</i>), diverged at the base of the genus. The second clade consisted of the remaining species belonging to the section <i>Synura</i>. The third clade, containing organisms in the section <i>Peterseniae</i> and characterized by scales possessing a keel, was monophyletic with strong support values. Based on our findings, <i>S. uvella</i> needs to be in a separate section from other spine-bearing species, and we therefore propose new sectional ranks; <i>Synura, Peterseniae, Curtispinae</i> (presence of body scales with slender spines, tubular scales and caudal scales). We further propose four new species based on phylogenetic analyses and unique scale characters: <i>S. longitubularis</i> sp. nov., <i>S. sungminbooi</i> sp. nov., <i>S. soroconopea</i> sp. nov. and <i>S. lanceolata</i> sp. nov. Lastly, we propose a new genus name, <i>Neotessella</i>, to replace the invalid use of the name <i>Tessellaria</i>.
DOI: 10.6084/m9.figshare.3798393
title: Gravitational Microlensing timeline

description: An infographic about how gravitational microlensing, the warping of spacetime, can be used to discover new exoplanets.
DOI: 10.6084/m9.figshare.3798393.v1
title: Gravitational Microlensing timeline

description: An infographic about how gravitational microlensing, the warping of spacetime, can be used to discover new exoplanets.
DOI: 10.6084/m9.figshare.3798339
title: isem16 montreal anaerobic oxidation of methane

description: slides from my lecture at isme16 palais de congres montreal canada 23 august 2013
DOI: 10.6084/m9.figshare.3798339.v2
title: isem16 montreal anaerobic oxidation of methane

description: slides from my lecture at isme16 palais de congres montreal canada 23 august 2013
DOI: 10.6084/m9.figshare.3798336
title: Sympathy Crying: Insights from Infrared Thermal Imaging on a Female Sample.

description: To induce crying female participants were given the choice to decide which film they wanted to cry to. Compared to baseline, temperature started increasing on the forehead, the peri-orbital region, the cheeks and the chin before crying and reached even higher temperatures during crying. The maxillary area showed the opposite pattern and a gradual temperature decrease was observed compared to baseline as a result of emotional sweating. The results suggest that tears of sympathy are part of a complex autonomic interaction between the sympathetic and the parasympathetic nervous systems, with the latter preceding the former. The emotional origin of the phenomenon seems to derive from subjective internal factors that relate to ones personal experiences and attributes with tears arising in the form of catharses or as part of shared sadness.
DOI: 10.6084/m9.figshare.3798336.v1
title: CryingFinalAnalyses.sav

description: To induce crying female participants were given the choice to decide which film they wanted to cry to. Compared to baseline, temperature started increasing on the forehead, the peri-orbital region, the cheeks and the chin before crying and reached even higher temperatures during crying. The maxillary area showed the opposite pattern and a gradual temperature decrease was observed compared to baseline as a result of emotional sweating. The results suggest that tears of sympathy are part of a complex autonomic interaction between the sympathetic and the parasympathetic nervous systems, with the latter preceding the former. The emotional origin of the phenomenon seems to derive from subjective internal factors that relate to ones personal experiences and attributes with tears arising in the form of catharses or as part of shared sadness.
DOI: 10.6084/m9.figshare.3798336.v3
title: Sympathy Crying: Insights from Infrared Thermal Imaging on a Female Sample.

description: To induce crying female participants were given the choice to decide which film they wanted to cry to. Compared to baseline, temperature started increasing on the forehead, the peri-orbital region, the cheeks and the chin before crying and reached even higher temperatures during crying. The maxillary area showed the opposite pattern and a gradual temperature decrease was observed compared to baseline as a result of emotional sweating. The results suggest that tears of sympathy are part of a complex autonomic interaction between the sympathetic and the parasympathetic nervous systems, with the latter preceding the former. The emotional origin of the phenomenon seems to derive from subjective internal factors that relate to ones personal experiences and attributes with tears arising in the form of catharses or as part of shared sadness.
DOI: 10.6084/m9.figshare.3798336.v2
title: CryingFinalAnalyses.sav

description: To induce crying female participants were given the choice to decide which film they wanted to cry to. Compared to baseline, temperature started increasing on the forehead, the peri-orbital region, the cheeks and the chin before crying and reached even higher temperatures during crying. The maxillary area showed the opposite pattern and a gradual temperature decrease was observed compared to baseline as a result of emotional sweating. The results suggest that tears of sympathy are part of a complex autonomic interaction between the sympathetic and the parasympathetic nervous systems, with the latter preceding the former. The emotional origin of the phenomenon seems to derive from subjective internal factors that relate to ones personal experiences and attributes with tears arising in the form of catharses or as part of shared sadness.
DOI: 10.6084/m9.figshare.3798258
title: Portal Rodent Trapping Forecasts on 31 August, 2016

description: This is the third forecast made for the rodent trapping at the long-term Portal research site in southern Arizona. Three models were used to achieve forecasts with 90% prediction intervals. Forecasts are for the site as a whole (total means across all plots, all treatment types).<br>Two naive models using the defaults in the forecast package in R were used to create forecasts for the total granivore captures (species="Total") over the next 12 trapping periods, the first being tomorrow.<br>The "Forecast" modelforecast(abundances$total,h=12,level=0.95,BoxCox.lambda(0),allow.multiplicative.trend=T)<br>The "AutoArima" modelforecast(auto.arima(abundances$total,lambda = 0),h=12,level=0.95,fan=T)<br>Species-level predictions, as well as another total captures prediction, were made using the tscount package in R.<br>The "NegBinom Time Series" model, by species (species codes are the first letter of the genus and species)<br>model=tsglm(abundances[[s]],model=list(past_obs=1,past_mean=11),distr="nbinom")<br>predict(model,12,level=0.9)
DOI: 10.6084/m9.figshare.3798258.v1
title: Portal Rodent Trapping Forecasts on 31 August, 2016

description: This is the third live forecast made for the rodent trapping at the long-term Portal research site in southern Arizona. Three models were used to achieve forecasts with 90% prediction intervals. <br>Two naive models using the defaults in the forecast package in R were used to create forecasts for the total granivore captures (species="Total") over the next 12 trapping periods, the first being tomorrow.<br>The "Forecast" modelforecast(abundances$total,h=12,level=0.95,BoxCox.lambda(0),allow.multiplicative.trend=T)<br>The "AutoArima" modelforecast(auto.arima(abundances$total,lambda = 0),h=12,level=0.95,fan=T)<br>Species-level predictions, as well as another total captures prediction, were made using the tscount package in R.<br>The "NegBinom Time Series" model, by species (species codes are the first letter of the genus and species)<br>model=tsglm(abundances[[s]],model=list(past_obs=1,past_mean=11),distr="nbinom")<br>predict(model,12,level=0.9)
DOI: 10.6084/m9.figshare.3798258.v2
title: Portal Rodent Trapping Forecasts on 31 August, 2016

description: This is the third live forecast made for the rodent trapping at the long-term Portal research site in southern Arizona. Three models were used to achieve forecasts with 90% prediction intervals. <br>Two naive models using the defaults in the forecast package in R were used to create forecasts for the total granivore captures (species="Total") over the next 12 trapping periods, the first being tomorrow.<br>The "Forecast" modelforecast(abundances$total,h=12,level=0.95,BoxCox.lambda(0),allow.multiplicative.trend=T)<br>The "AutoArima" modelforecast(auto.arima(abundances$total,lambda = 0),h=12,level=0.95,fan=T)<br>Species-level predictions, as well as another total captures prediction, were made using the tscount package in R.<br>The "NegBinom Time Series" model, by species (species codes are the first letter of the genus and species)<br>model=tsglm(abundances[[s]],model=list(past_obs=1,past_mean=11),distr="nbinom")<br>predict(model,12,level=0.9)
DOI: 10.6084/m9.figshare.3798258.v3
title: Portal Rodent Trapping Forecasts on 31 August, 2016

description: This is the third live forecast made for the rodent trapping at the long-term Portal research site in southern Arizona. Three models were used to achieve forecasts with 90% prediction intervals. <br>Two naive models using the defaults in the forecast package in R were used to create forecasts for the total granivore captures (species="Total") over the next 12 trapping periods, the first being tomorrow.<br>The "Forecast" modelforecast(abundances$total,h=12,level=0.95,BoxCox.lambda(0),allow.multiplicative.trend=T)<br>The "AutoArima" modelforecast(auto.arima(abundances$total,lambda = 0),h=12,level=0.95,fan=T)<br>Species-level predictions, as well as another total captures prediction, were made using the tscount package in R.<br>The "NegBinom Time Series" model, by species (species codes are the first letter of the genus and species)<br>model=tsglm(abundances[[s]],model=list(past_obs=1,past_mean=11),distr="nbinom")<br>predict(model,12,level=0.9)
DOI: 10.6084/m9.figshare.3798258.v5
title: Portal Rodent Trapping Forecasts on 31 August, 2016

description: This is the third forecast made for the rodent trapping at the long-term Portal research site in southern Arizona. Three models were used to achieve forecasts with 90% prediction intervals. Forecasts are for the site as a whole (total means across all plots, all treatment types).<br>Two naive models using the defaults in the forecast package in R were used to create forecasts for the total granivore captures (species="Total") over the next 12 trapping periods, the first being tomorrow.<br>The "Forecast" modelforecast(abundances$total,h=12,level=0.95,BoxCox.lambda(0),allow.multiplicative.trend=T)<br>The "AutoArima" modelforecast(auto.arima(abundances$total,lambda = 0),h=12,level=0.95,fan=T)<br>Species-level predictions, as well as another total captures prediction, were made using the tscount package in R.<br>The "NegBinom Time Series" model, by species (species codes are the first letter of the genus and species)<br>model=tsglm(abundances[[s]],model=list(past_obs=1,past_mean=11),distr="nbinom")<br>predict(model,12,level=0.9)
DOI: 10.6084/m9.figshare.3798258.v4
title: Portal Rodent Trapping Forecasts on 31 August, 2016

description: This is the third live forecast made for the rodent trapping at the long-term Portal research site in southern Arizona. Three models were used to achieve forecasts with 90% prediction intervals. <br>Two naive models using the defaults in the forecast package in R were used to create forecasts for the total granivore captures (species="Total") over the next 12 trapping periods, the first being tomorrow.<br>The "Forecast" modelforecast(abundances$total,h=12,level=0.95,BoxCox.lambda(0),allow.multiplicative.trend=T)<br>The "AutoArima" modelforecast(auto.arima(abundances$total,lambda = 0),h=12,level=0.95,fan=T)<br>Species-level predictions, as well as another total captures prediction, were made using the tscount package in R.<br>The "NegBinom Time Series" model, by species (species codes are the first letter of the genus and species)<br>model=tsglm(abundances[[s]],model=list(past_obs=1,past_mean=11),distr="nbinom")<br>predict(model,12,level=0.9)
DOI: 10.6084/m9.figshare.3798249
title: PCa-TMA KPNA4 staining.xlsx

description: This sheet includes the cell counting data of KPNA4 positive and negative cells of every cases of PCa.3 random area were of each cases were selected for cell counting.
DOI: 10.6084/m9.figshare.3798249.v1
title: PCa-TMA KPNA4 staining.xlsx

description: This sheet includes the cell counting data of KPNA4 positive and negative cells of every cases of PCa.3 random area were of each cases were selected for cell counting.
DOI: 10.6084/m9.figshare.3798231
title: database

description: There are 16,930 sound instances in our database with durations ranging 242 from 1 to 10 seconds, which correspond to (approximately) 15 hours of environmental 243 sounds. All sound files were converted into raw 16 bit encoding, mono-channel, and 16 244 kHz sampling rate, as various formats and rates were used in the original versions 245 retrieved from the web.
DOI: 10.6084/m9.figshare.3798231.v3
title: database

description: There are 16,930 sound instances in our database with durations ranging 242 from 1 to 10 seconds, which correspond to (approximately) 15 hours of environmental 243 sounds. All sound files were converted into raw 16 bit encoding, mono-channel, and 16 244 kHz sampling rate, as various formats and rates were used in the original versions 245 retrieved from the web.
DOI: 10.6084/m9.figshare.3798228
title: Affect of Gender Biased Images on Attitudes

description: Anatomy students' gender IAT Data
DOI: 10.6084/m9.figshare.3798228.v2
title: Affect of Gender Biased Images on Attitudes

description: Anatomy students' gender IAT Data
DOI: 10.6084/m9.figshare.3798228.v1
title: Study3 Data

description: Anatomy students' gender IAT Data
DOI: 10.6084/m9.figshare.3798222
title: Medical Illustrator Interview

description: Computer-assisted self-interview with medical illustrators data
DOI: 10.6084/m9.figshare.3798222.v2
title: Medical Illustrator Interview

description: Computer-assisted self-interview with medical illustrators data
DOI: 10.6084/m9.figshare.3798222.v1
title: Study2 Data

description: Computer-assisted self-interview with medical illustrators data
DOI: 10.6084/m9.figshare.3798213.v1
title: Study1 Data

description: Two CSV files: 1. Coding of all images 2. Coding specific to narrative images
DOI: 10.6084/m9.figshare.3798213
title: Anatomy textbook visual analysis data

description: Two CSV files: 1. Coding of all images 2. Coding specific to narrative images
DOI: 10.6084/m9.figshare.3798198
title: Bibionomorpha - 28.3.16 - final alignment - ex incertae sedis

description: The alignment of genes from Bibionomorpha species (without incertae sedis).
DOI: 10.6084/m9.figshare.3798198.v1
title: Bibionomorpha - 28.3.16 - final alignment - ex incertae sedis

description: The alignment of genes from Bibionomorpha species (without incertae sedis).
DOI: 10.6084/m9.figshare.3798195
title: Bibionomorpha - 28.3.16 - final alignment

description: The alignment of genes from Bibionomorpha species.
DOI: 10.6084/m9.figshare.3798195.v1
title: Bibionomorpha - 28.3.16 - final alignment

description: The alignment of genes from Bibionomorpha species.
DOI: 10.6084/m9.figshare.3798183
title: Decimal Expansions of 1 (Autosaved).docx

description: This document contains decimal expansions of 1 divided by prime numbers up to and including 96,097.
DOI: 10.6084/m9.figshare.3798183.v1
title: Decimal Expansions of 1 (Autosaved).docx

description: This document contains decimal expansions of 1 divided by prime numbers up to and including 96,097.
DOI: 10.6084/m9.figshare.3798141
title: Figs

description: <b>Detection of IgG anti-<i>Leishmania</i> antigen by flow cytometry as a diagnostic test for cutaneous leishmaniasis</b><b>Figure legend</b><b>Figure 1. Gate strategy to determine beads population to be analyzed.</b> A gate was performed based on FSC and SSC and than mean florescence intensity was assessed based on FITC staining. <b>Figure 2. Antibody titers assessed by ELISA.</b> Anti-SLA IgG titers from healthy subjects (HS), cutaneous leishmaniasis patients (CL), Montenegro positive individuals (DTH+) and Chagas disease patients (CD), assessed by ELISA. Cut off was determined by a ROC curve containing absorbances from CL patients and healthy subjects. OD, optical density. <b>Figure 3. Antibody titers assessed by flow cytometry.</b> Anti-SLA IgG titers from healthy subjects (HS), cutaneous leishmaniasis patients (CL), Montenegro positive individuals (DTH+) and Chagas disease patients (CD), assessed by flow cytometry. Cut off was determined by a ROC curve containing MFI from CL patients and healthy subjects. MFI, mean fluorescence intensity.
DOI: 10.6084/m9.figshare.3798141.v1
title: Figs

description: <b>Detection of IgG anti-<i>Leishmania</i> antigen by flow cytometry as a diagnostic test for cutaneous leishmaniasis</b><b>Figure legend</b><b>Figure 1. Gate strategy to determine beads population to be analyzed.</b> A gate was performed based on FSC and SSC and than mean florescence intensity was assessed based on FITC staining. <b>Figure 2. Antibody titers assessed by ELISA.</b> Anti-SLA IgG titers from healthy subjects (HS), cutaneous leishmaniasis patients (CL), Montenegro positive individuals (DTH+) and Chagas disease patients (CD), assessed by ELISA. Cut off was determined by a ROC curve containing absorbances from CL patients and healthy subjects. OD, optical density. <b>Figure 3. Antibody titers assessed by flow cytometry.</b> Anti-SLA IgG titers from healthy subjects (HS), cutaneous leishmaniasis patients (CL), Montenegro positive individuals (DTH+) and Chagas disease patients (CD), assessed by flow cytometry. Cut off was determined by a ROC curve containing MFI from CL patients and healthy subjects. MFI, mean fluorescence intensity.
DOI: 10.6084/m9.figshare.3798120
title: Updated maps of Aedes aegypti and A. albopictus

description: This work is still in progress; however, we released these maps as a response to the emergency of arboviral diseases across the world. These maps represent the geographic distribution of two potenial vectors; Aedes aegypti and Aedes albopictus. <br>
DOI: 10.6084/m9.figshare.3798120.v1
title: Updated Aedes aegypti and A. albopictus map

description: This work is still in progress; however, we released these maps as a response to the emergency of arboviral diseases across the world. These maps represent the geographic distribution of two potenial vectors; Aedes aegypti and Aedes albopictus. <br>
DOI: 10.6084/m9.figshare.3798102
title: Rotated Sphere Packing Designs

description: We propose a new class of space-filling designs called rotated sphere packing designs for computer experiments. The approach starts from the asymptotically optimal positioning of identical balls that covers the unit cube. Properly scaled, rotated, translated, and extracted, such designs are excellent in maximin distance criterion, low in discrepancy, good in projective uniformity and thus useful in both prediction and numerical integration purposes. We provide a fast algorithm to construct such designs for any numbers of dimensions and points with R codes available online. Theoretical and numerical results are also provided. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.3798102.v2
title: Rotated Sphere Packing Designs

description: We propose a new class of space-filling designs called rotated sphere packing designs for computer experiments. The approach starts from the asymptotically optimal positioning of identical balls that covers the unit cube. Properly scaled, rotated, translated, and extracted, such designs are excellent in maximin distance criterion, low in discrepancy, good in projective uniformity and thus useful in both prediction and numerical integration purposes. We provide a fast algorithm to construct such designs for any numbers of dimensions and points with R codes available online. Theoretical and numerical results are also provided. Supplementary materials for this article are available online.