cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8123552.v1
title: House 10 in ENERTALK dataset

description: Zip files enertalk-dataset-{house_number} contain a directory for each houses. Each directory holds a set of subdirectories that contain Parquet files for the daily aggregate and appliance-level data. The naming convention for these subdirectories is “” (e.g. “20161124” for November 24, 2016). The Parquet files are named “\_.parquet.gzip” (e.g. “01\_fridge.parquet.gzip”). In these names, the two-digit integer is uniquely associated with a distinct measuring device in a house. Each Parquet file consists of three columns: “timestamp,” “active\_power,” and “reactive\_power.” The “timestamp” column contains Unix timestamps in milliseconds, such that 1000 corresponds to one second. The “active\_power” column represents active power in watts and the “reactive\_power” column represents reactive power in VAR (volt-ampere reactive) units.
DOI: 10.6084/m9.figshare.8123549
title: House 09 in ENERTALK dataset

description: Zip files enertalk-dataset-{house_number} contain a directory for each houses. Each directory holds a set of subdirectories that contain Parquet files for the daily aggregate and appliance-level data. The naming convention for these subdirectories is “” (e.g. “20161124” for November 24, 2016). The Parquet files are named “\_.parquet.gzip” (e.g. “01\_fridge.parquet.gzip”). In these names, the two-digit integer is uniquely associated with a distinct measuring device in a house. Each Parquet file consists of three columns: “timestamp,” “active\_power,” and “reactive\_power.” The “timestamp” column contains Unix timestamps in milliseconds, such that 1000 corresponds to one second. The “active\_power” column represents active power in watts and the “reactive\_power” column represents reactive power in VAR (volt-ampere reactive) units.
DOI: 10.6084/m9.figshare.8123546
title: House 08 in ENERTALK dataset

description: Zip files enertalk-dataset-{house_number} contain a directory for each houses. Each directory holds a set of subdirectories that contain Parquet files for the daily aggregate and appliance-level data. The naming convention for these subdirectories is “” (e.g. “20161124” for November 24, 2016). The Parquet files are named “\_.parquet.gzip” (e.g. “01\_fridge.parquet.gzip”). In these names, the two-digit integer is uniquely associated with a distinct measuring device in a house. Each Parquet file consists of three columns: “timestamp,” “active\_power,” and “reactive\_power.” The “timestamp” column contains Unix timestamps in milliseconds, such that 1000 corresponds to one second. The “active\_power” column represents active power in watts and the “reactive\_power” column represents reactive power in VAR (volt-ampere reactive) units.
DOI: 10.6084/m9.figshare.8123543
title: House 05 in ENERTALK dataset

description: Zip files enertalk-dataset-{house_number} contain a directory for each houses. Each directory holds a set of subdirectories that contain Parquet files for the daily aggregate and appliance-level data. The naming convention for these subdirectories is “” (e.g. “20161124” for November 24, 2016). The Parquet files are named “\_.parquet.gzip” (e.g. “01\_fridge.parquet.gzip”). In these names, the two-digit integer is uniquely associated with a distinct measuring device in a house. Each Parquet file consists of three columns: “timestamp,” “active\_power,” and “reactive\_power.” The “timestamp” column contains Unix timestamps in milliseconds, such that 1000 corresponds to one second. The “active\_power” column represents active power in watts and the “reactive\_power” column represents reactive power in VAR (volt-ampere reactive) units.
DOI: 10.6084/m9.figshare.8123543.v1
title: House 05 in ENERTALK dataset

description: Zip files enertalk-dataset-{house_number} contain a directory for each houses. Each directory holds a set of subdirectories that contain Parquet files for the daily aggregate and appliance-level data. The naming convention for these subdirectories is “” (e.g. “20161124” for November 24, 2016). The Parquet files are named “\_.parquet.gzip” (e.g. “01\_fridge.parquet.gzip”). In these names, the two-digit integer is uniquely associated with a distinct measuring device in a house. Each Parquet file consists of three columns: “timestamp,” “active\_power,” and “reactive\_power.” The “timestamp” column contains Unix timestamps in milliseconds, such that 1000 corresponds to one second. The “active\_power” column represents active power in watts and the “reactive\_power” column represents reactive power in VAR (volt-ampere reactive) units.
DOI: 10.6084/m9.figshare.8123540
title: House 07 in ENERTALK dataset

description: Zip files enertalk-dataset-{house_number} contain a directory for each houses. Each directory holds a set of subdirectories that contain Parquet files for the daily aggregate and appliance-level data. The naming convention for these subdirectories is “” (e.g. “20161124” for November 24, 2016). The Parquet files are named “\_.parquet.gzip” (e.g. “01\_fridge.parquet.gzip”). In these names, the two-digit integer is uniquely associated with a distinct measuring device in a house. Each Parquet file consists of three columns: “timestamp,” “active\_power,” and “reactive\_power.” The “timestamp” column contains Unix timestamps in milliseconds, such that 1000 corresponds to one second. The “active\_power” column represents active power in watts and the “reactive\_power” column represents reactive power in VAR (volt-ampere reactive) units.
DOI: 10.6084/m9.figshare.8123537
title: House 04 in ENERTALK dataset

description: Zip files enertalk-dataset-{house_number} contain a directory for each houses. Each directory holds a set of subdirectories that contain Parquet files for the daily aggregate and appliance-level data. The naming convention for these subdirectories is “” (e.g. “20161124” for November 24, 2016). The Parquet files are named “\_.parquet.gzip” (e.g. “01\_fridge.parquet.gzip”). In these names, the two-digit integer is uniquely associated with a distinct measuring device in a house. Each Parquet file consists of three columns: “timestamp,” “active\_power,” and “reactive\_power.” The “timestamp” column contains Unix timestamps in milliseconds, such that 1000 corresponds to one second. The “active\_power” column represents active power in watts and the “reactive\_power” column represents reactive power in VAR (volt-ampere reactive) units.
DOI: 10.6084/m9.figshare.8123537.v1
title: House 04 in ENERTALK dataset

description: Zip files enertalk-dataset-{house_number} contain a directory for each houses. Each directory holds a set of subdirectories that contain Parquet files for the daily aggregate and appliance-level data. The naming convention for these subdirectories is “” (e.g. “20161124” for November 24, 2016). The Parquet files are named “\_.parquet.gzip” (e.g. “01\_fridge.parquet.gzip”). In these names, the two-digit integer is uniquely associated with a distinct measuring device in a house. Each Parquet file consists of three columns: “timestamp,” “active\_power,” and “reactive\_power.” The “timestamp” column contains Unix timestamps in milliseconds, such that 1000 corresponds to one second. The “active\_power” column represents active power in watts and the “reactive\_power” column represents reactive power in VAR (volt-ampere reactive) units.
DOI: 10.6084/m9.figshare.8123534
title: House 06 in ENERTALK dataset

description: Zip files enertalk-dataset-{house_number} contain a directory for each houses. Each directory holds a set of subdirectories that contain Parquet files for the daily aggregate and appliance-level data. The naming convention for these subdirectories is “” (e.g. “20161124” for November 24, 2016). The Parquet files are named “\_.parquet.gzip” (e.g. “01\_fridge.parquet.gzip”). In these names, the two-digit integer is uniquely associated with a distinct measuring device in a house. Each Parquet file consists of three columns: “timestamp,” “active\_power,” and “reactive\_power.” The “timestamp” column contains Unix timestamps in milliseconds, such that 1000 corresponds to one second. The “active\_power” column represents active power in watts and the “reactive\_power” column represents reactive power in VAR (volt-ampere reactive) units.
DOI: 10.6084/m9.figshare.8123531
title: House 03 in ENERTALK dataset

description: Zip files enertalk-dataset-{house_number} contain a directory for each houses. Each directory holds a set of subdirectories that contain Parquet files for the daily aggregate and appliance-level data. The naming convention for these subdirectories is “” (e.g. “20161124” for November 24, 2016). The Parquet files are named “\_.parquet.gzip” (e.g. “01\_fridge.parquet.gzip”). In these names, the two-digit integer is uniquely associated with a distinct measuring device in a house. Each Parquet file consists of three columns: “timestamp,” “active\_power,” and “reactive\_power.” The “timestamp” column contains Unix timestamps in milliseconds, such that 1000 corresponds to one second. The “active\_power” column represents active power in watts and the “reactive\_power” column represents reactive power in VAR (volt-ampere reactive) units.
DOI: 10.6084/m9.figshare.8123531.v1
title: House 03 in ENERTALK dataset

description: Zip files enertalk-dataset-{house_number} contain a directory for each houses. Each directory holds a set of subdirectories that contain Parquet files for the daily aggregate and appliance-level data. The naming convention for these subdirectories is “” (e.g. “20161124” for November 24, 2016). The Parquet files are named “\_.parquet.gzip” (e.g. “01\_fridge.parquet.gzip”). In these names, the two-digit integer is uniquely associated with a distinct measuring device in a house. Each Parquet file consists of three columns: “timestamp,” “active\_power,” and “reactive\_power.” The “timestamp” column contains Unix timestamps in milliseconds, such that 1000 corresponds to one second. The “active\_power” column represents active power in watts and the “reactive\_power” column represents reactive power in VAR (volt-ampere reactive) units.
DOI: 10.6084/m9.figshare.8123528
title: House 02 in ENERTALK dataset

description: Zip files enertalk-dataset-{house_number} contain a directory for each houses. Each directory holds a set of subdirectories that contain Parquet files for the daily aggregate and appliance-level data. The naming convention for these subdirectories is “” (e.g. “20161124” for November 24, 2016). The Parquet files are named “\_.parquet.gzip” (e.g. “01\_fridge.parquet.gzip”). In these names, the two-digit integer is uniquely associated with a distinct measuring device in a house. Each Parquet file consists of three columns: “timestamp,” “active\_power,” and “reactive\_power.” The “timestamp” column contains Unix timestamps in milliseconds, such that 1000 corresponds to one second. The “active\_power” column represents active power in watts and the “reactive\_power” column represents reactive power in VAR (volt-ampere reactive) units.
DOI: 10.6084/m9.figshare.8123525
title: House 01 in ENERTALK dataset

description: Zip files enertalk-dataset-{house_number} contain a directory for each houses. Each directory holds a set of subdirectories that contain Parquet files for the daily aggregate and appliance-level data. The naming convention for these subdirectories is “” (e.g. “20161124” for November 24, 2016). The Parquet files are named “\_.parquet.gzip” (e.g. “01\_fridge.parquet.gzip”). In these names, the two-digit integer is uniquely associated with a distinct measuring device in a house. Each Parquet file consists of three columns: “timestamp,” “active\_power,” and “reactive\_power.” The “timestamp” column contains Unix timestamps in milliseconds, such that 1000 corresponds to one second. The “active\_power” column represents active power in watts and the “reactive\_power” column represents reactive power in VAR (volt-ampere reactive) units.
DOI: 10.6084/m9.figshare.8123522
title: House 00 in ENERTALK dataset

description: Zip files enertalk-dataset-{house_number} contain a directory for each houses. Each directory holds a set of subdirectories that contain Parquet files for the daily aggregate and appliance-level data. The naming convention for these subdirectories is “” (e.g. “20161124” for November 24, 2016). The Parquet files are named “\_.parquet.gzip” (e.g. “01\_fridge.parquet.gzip”). In these names, the two-digit integer is uniquely associated with a distinct measuring device in a house. Each Parquet file consists of three columns: “timestamp,” “active\_power,” and “reactive\_power.” The “timestamp” column contains Unix timestamps in milliseconds, such that 1000 corresponds to one second. The “active\_power” column represents active power in watts and the “reactive\_power” column represents reactive power in VAR (volt-ampere reactive) units.
DOI: 10.6084/m9.figshare.8123522.v1
title: House 00 in ENERTALK dataset

description: Zip files enertalk-dataset-{house_number} contain a directory for each houses. Each directory holds a set of subdirectories that contain Parquet files for the daily aggregate and appliance-level data. The naming convention for these subdirectories is “” (e.g. “20161124” for November 24, 2016). The Parquet files are named “\_.parquet.gzip” (e.g. “01\_fridge.parquet.gzip”). In these names, the two-digit integer is uniquely associated with a distinct measuring device in a house. Each Parquet file consists of three columns: “timestamp,” “active\_power,” and “reactive\_power.” The “timestamp” column contains Unix timestamps in milliseconds, such that 1000 corresponds to one second. The “active\_power” column represents active power in watts and the “reactive\_power” column represents reactive power in VAR (volt-ampere reactive) units.
DOI: 10.6084/m9.figshare.8123474
title: MOESM1 of Production and characterization of novel ssRNA bacteriophage virus-like particles from metagenomic sequencing data

description: Additional file 1: Table S1. Protein sequences used in the study. Accession numbers are provided for the respective genome sequences. Entries without an accession number were sourced from Dataset S1 from Krishnamurthy et al. [19]. In cases where more than one open reading frame was found between the maturation and replicase genes, the coat protein corresponds to ORF2.
DOI: 10.6084/m9.figshare.8123474.v1
title: MOESM1 of Production and characterization of novel ssRNA bacteriophage virus-like particles from metagenomic sequencing data

description: Additional file 1: Table S1. Protein sequences used in the study. Accession numbers are provided for the respective genome sequences. Entries without an accession number were sourced from Dataset S1 from Krishnamurthy et al. [19]. In cases where more than one open reading frame was found between the maturation and replicase genes, the coat protein corresponds to ORF2.
DOI: 10.6084/m9.figshare.8121359
title: Faces in the wild: A naturalistic study of children’s facial expressions in response to an Internet prank

description: There is surprisingly little empirical evidence supporting theoretical and anecdotal claims regarding the spontaneous production of prototypic facial expressions used in numerous emotion recognition studies. Proponents of innate prototypic expressions believe that this lack of evidence may be due to ethical restrictions against presenting powerful elicitors in the lab. The current popularity of internet platforms designed for public sharing of videos allows investigators to shed light on this debate by examining naturally-occurring facial expressions outside the laboratory. An Internet prank (“Scary Maze”) has provided a unique opportunity to observe children reacting to a consistent fear- and surprise-inducing stimulus: The unexpected presentation of a “scary face” during an online maze game. The purpose of this study was to examine children’s facial expressions in this naturalistic setting. Emotion ratings of non-facial behaviour (provided by untrained undergraduates) and anatomically-based facial codes were obtained from 60 videos of children (ages 4–7) found on YouTube. Emotion ratings were highest for fear and surprise. Correspondingly, children displayed more facial expressions of fear and surprise than for other emotions (e.g. anger, joy). These findings provide partial support for the ecological validity of fear and surprise expressions. Still prototypic expressions were produced by fewer than half the children.
DOI: 10.6084/m9.figshare.8121359.v1
title: Faces in the wild: A naturalistic study of children’s facial expressions in response to an Internet prank

description: There is surprisingly little empirical evidence supporting theoretical and anecdotal claims regarding the spontaneous production of prototypic facial expressions used in numerous emotion recognition studies. Proponents of innate prototypic expressions believe that this lack of evidence may be due to ethical restrictions against presenting powerful elicitors in the lab. The current popularity of internet platforms designed for public sharing of videos allows investigators to shed light on this debate by examining naturally-occurring facial expressions outside the laboratory. An Internet prank (“Scary Maze”) has provided a unique opportunity to observe children reacting to a consistent fear- and surprise-inducing stimulus: The unexpected presentation of a “scary face” during an online maze game. The purpose of this study was to examine children’s facial expressions in this naturalistic setting. Emotion ratings of non-facial behaviour (provided by untrained undergraduates) and anatomically-based facial codes were obtained from 60 videos of children (ages 4–7) found on YouTube. Emotion ratings were highest for fear and surprise. Correspondingly, children displayed more facial expressions of fear and surprise than for other emotions (e.g. anger, joy). These findings provide partial support for the ecological validity of fear and surprise expressions. Still prototypic expressions were produced by fewer than half the children.
DOI: 10.6084/m9.figshare.8121359.v2
title: Faces in the wild: A naturalistic study of children’s facial expressions in response to an Internet prank

description: There is surprisingly little empirical evidence supporting theoretical and anecdotal claims regarding the spontaneous production of prototypic facial expressions used in numerous emotion recognition studies. Proponents of innate prototypic expressions believe that this lack of evidence may be due to ethical restrictions against presenting powerful elicitors in the lab. The current popularity of internet platforms designed for public sharing of videos allows investigators to shed light on this debate by examining naturally-occurring facial expressions outside the laboratory. An Internet prank (“Scary Maze”) has provided a unique opportunity to observe children reacting to a consistent fear- and surprise-inducing stimulus: The unexpected presentation of a “scary face” during an online maze game. The purpose of this study was to examine children’s facial expressions in this naturalistic setting. Emotion ratings of non-facial behaviour (provided by untrained undergraduates) and anatomically-based facial codes were obtained from 60 videos of children (ages 4–7) found on YouTube. Emotion ratings were highest for fear and surprise. Correspondingly, children displayed more facial expressions of fear and surprise than for other emotions (e.g. anger, joy). These findings provide partial support for the ecological validity of fear and surprise expressions. Still prototypic expressions were produced by fewer than half the children.
DOI: 10.26180/5cda17f07148c
title: Tension lines

description: <em><em>Premiere:</em> </em><em>April 10, Moana Gallery, Perth, Western Australia, 2015.</em><br><br>This piece is for electric harp and uses the lines on hand prints as source material for the score. It was written for harpist Catherine Ashley.<br><br>Written for the exhibition Anxious Objects by Kate McMillan at MOANA.<br><br>
DOI: 10.6084/m9.figshare.8121242
title: Dataset3.zip

description: Raw dataset for data analyses and create the Figure 5 <br><br>
DOI: 10.6084/m9.figshare.8121224
title: Dataset2.zip

description: Raw dataset for create the Figure 3<br>
DOI: 10.6084/m9.figshare.8121224.v1
title: Dataset2.zip

description: Raw dataset for create the Figure 3<br>
DOI: 10.6084/m9.figshare.8121212
title: Dataset4.zip

description: Raw data exported from HPLC and MS applied for data analysis for Figure 7.
DOI: 10.6084/m9.figshare.8121212.v1
title: Dataset4.zip

description: Raw data exported from HPLC and MS applied for data analysis for Figure 7.
DOI: 10.23641/asha.8121191
title: Multiple channels in sign-supported speech (Mastrantuono et al., 2019)

description: <b>Purpose: </b>The use of sign-supported speech (SSS) in the education of deaf students has been recently discussed in relation to its usefulness with deaf children using cochlear implants. To clarify the benefits of SSS for comprehension, 2 eye-tracking experiments aimed to detect the extent to which signs are actively processed in this mode of communication.<b>Method: </b>Participants were 36 deaf adolescents, including cochlear implant users and native deaf signers. Experiment 1 attempted to shift observers’ foveal attention to the linguistic source in SSS from which most information is extracted, lip movements or signs, by magnifying the face area, thus modifying lip movements perceptual accessibility (magnified condition), and by constraining the visual field to either the face or the sign through a moving window paradigm (gaze contingent condition). Experiment 2 aimed to explore the reliance on signs in SSS by occasionally producing a mismatch between sign and speech. Participants were required to concentrate upon the orally transmitted message.<b>Results: </b>In Experiment 1, analyses revealed a greater number of fixations toward the signs and a reduction in accuracy in the gaze contingent condition across all participants. Fixations toward signs were also increased in the magnified condition. In Experiment 2, results indicated less accuracy in the mismatching condition across all participants. Participants looked more at the sign when it was inconsistent with speech.<b>Conclusions: </b>All participants, even those with residual hearing, rely on signs when attending SSS, either peripherally or through overt attention, depending on the perceptual conditions.<br><b>Supplemental Material S1. </b>Tables including fixed effects of generalized linear mixed-effects regression (GLMER) analyses. <br><b>Supplemental Material S2.</b> Background skills. <br>Mastrantuono, E., Burigo, M., Rodríguez-Ortiz, I. R., & Saldaña, D. (2019). The role of multiple articulatory channels of sign-supported speech revealed by visual processing. <i>Journal of Speech, Language, and Hearing Research, 62, </i>1625–1656. https://doi.org/10.1044/2019_JSLHR-S-17-0433