cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5549566.v1
title: Pemodelan Energi

description: Directory Ministry of Energy and Mini Lampung Province<br>
DOI: 10.6084/m9.figshare.5549539
title: qPCR raw data

description: qPCR raw data
DOI: 10.6084/m9.figshare.5549545
title: Data

description: This file contains the data used for plotting the Figure 1-2, 12-14, S1-S2 of the Arctic 2K review paper: Linderholm et al. (2017). The method used to generate the data is described in the paper.<br>Linderholm et al., 2017 Climate of the Past<br>
DOI: 10.6084/m9.figshare.5549545.v1
title: Data

description: This file contains the data used for plotting the Figure 1-2, 12-14, S1-S2 of the Arctic 2K review paper: Linderholm et al. (2017). The method used to generate the data is described in the paper.<br>Linderholm et al., 2017 Climate of the Past<br>
DOI: 10.6084/m9.figshare.5549476
title: S13 Dataset. Smad immunohistological scoring _Fig.8.

description: Smad immunohistological scoring
DOI: 10.6084/m9.figshare.5549476.v2
title: S2 Dataset. Smad immunohistological scoring _Fig.8.

description: Smad immunohistological scoring
DOI: 10.6084/m9.figshare.5549476.v1
title: S13 Dataset

description: Smad immunohistological scoring
DOI: 10.6084/m9.figshare.5549455
title: S1 Dataset. Semi-quantitative measurement of Collagen _Fig.3.

description: Semi-quantitiative measurement of Collagen.
DOI: 10.6084/m9.figshare.5549455.v2
title: S1 Dataset. Semi-quantitative measurement of Collagen _Fig.3.

description: Semi-quantitiative measurement of Collagen.
DOI: 10.6084/m9.figshare.5549455.v1
title: S1 Dataset

description: Semi-quantitiative measurement of Collagen.
DOI: 10.6084/m9.figshare.5549365
title: Pearmanetal_HiddenMajority_Archive-1.zip

description: This folder contains raw Illumina MiSeq sequence files. We amplified a 313bp of the mitochondrial Cytochrome c. Oxidase Subunit I gene (COI) for benthic coral reef samples collected in the Red Sea. Details of samples are provided in the metadata file "Pearmanetal_HiddenMajority_COI_metadata.xls"
DOI: 10.6084/m9.figshare.5549365.v1
title: Pearmanetal_HiddenMajority_Archive-1.zip

description: This folder contains raw Illumina MiSeq sequence files. We amplified a 313bp of the mitochondrial Cytochrome c. Oxidase Subunit I gene (COI) for benthic coral reef samples collected in the Red Sea. Details of samples are provided in the metadata file "Pearmanetal_HiddenMajority_COI_metadata.xls"
DOI: 10.6084/m9.figshare.5549362
title: High Resolution Human Eye Tracking During Continuous Visual Search Zapping (Martin et al. 2018)

description: High resolution 1250hz eye tracking data from an experiment on continuous upright and inverted face detection in both background and no-background conditions. 56 subjects participated in 72 sessions in total in 3 different experiments of 24 sessions. Each session had 4000 trials split into 8 blocks of 500 trials in one of the four different experimental conditions: {upright, inverted} x {scene, no scene}. There are 96,000 trials in each experiment.<br><br>Experiment 1: Full screen eccentricities, unblended facesExperiment 2: 4 degree eccentricities, unblended facesExperiment 3: 4 degree eccentricities, blended faces<br>Data includes Matlab data files with de-identified subject numbers, image properties, blending properties, eye data according to stimulus onsets (raw sample data, saccade reaction times, saccade accuracies, pupil sizes, microsaccades, eccentricities, polar angles, etc).<br>There are three experimental files according to three experiments: <br><br>martin_zap_experiment1.mat (Experiment 1)martin_zap_experiment2.mat (Experiment 2)martin_zap_experiment3.mat (Experiment 3)<br>There is also a Matlab utility script for selecting portions of the data named selectIndices.m<br>The data was finalized on October 2, 2018. Please make sure your downloaded files each have the following corresponding md5sum:<br>martin_zap_experiment1.mat 1a78bc3b30a77ce24e84d41da43f2c6a<br>martin_zap_experiment2.mat cd78bbe46a0362c4e12c4b915b7e731f<br>martin_zap_experiment3.mat 308b31b2aa1f7ff7d4a42bb14c2033c3selectIndices.m 8aac4f2d7faab091d6ca2c06920f9dc9<br>Please see the papers referenced below for further descriptions.<br>If you publish or present anything based upon this data, you should please cite the following two papers: <br>Jacob G Martin*, Charles E. Davis, Maximilian Riesenhuber, Simon J Thorpe. Zapping 500 faces in less than 100 seconds: evidence for extremely fast and sustained continuous visual search. <b>(2018) Nature Sci. Rep.</b> 8:12482. https://doi.org/10.1038/s41598-018-30245-8<br>Jacob G Martin*, Charles E. Davis, Maximilian Riesenhuber, Simon J Thorpe. <b></b>High resolution human eye tracking during continuous visual search. <b>(2018) </b><b>Frontiers in Human Neuroscience </b>12:374. https://doi.org/10.3389/fnhum.2018.00374<br>------------------------------------------------------------------------------The change log for updates to the datasets will appear below and be updated if any changes are made.<br>CHANGELOG<br>October 2, 2018: Initial upload<br>
DOI: 10.6084/m9.figshare.5549356
title: Social facilitation of laughter and smiles in preschool children: Dataset, analysis scripts and supporting materials.

description: The full dataset, analysis scripts and preprint from our study of social laughter in preschool children.<br><br>Abstract<br>======Surprisingly little is known about the social dimensions of laughter in preschool children. We studied children’s responses to amusing video clips in the presence or absence of peers. The sample consisted of 9 boys and 11 girls aged 31-49 months (M 39.8, SD 4.2) who watched three cartoons under three different conditions: individually, in pairs, or in groups of 6 or 8. The social viewing conditions showed significantly higher numbers of laughs and smiles than the individual viewing condition. On average children laughed eight times more in company as on their own and smiled almost three times as much. No differences were found between pairs and groups, and no association was found between subjective funniness ratings and group size. This suggests that the presence of even a single social partner can change behaviour in response to humorous material. It supports the idea that laughter and smiles are primarily flexible social signals rather than reflexive responses to humour.
DOI: 10.17608/k6.auckland.5549353
title: Speeding up gridSVG

description: This report describes changes in version 1.6-0 of the ‘gridSVG’ package for R. The most important result of these changes is that ‘gridSVG’ is now much faster at generating SVG files (in situations where it used to be painfully slow).
DOI: 10.17608/k6.auckland.5549353.v1
title: Speeding up gridSVG

description: This report describes changes in version 1.6-0 of the ‘gridSVG’ package for R. The most important result of these changes is that ‘gridSVG’ is now much faster at generating SVG files (in situations where it used to be painfully slow).
DOI: 10.6084/m9.figshare.5549362.v1
title: Zapping Experiment Data (Martin et al. 2018)

description: High resolution 1250hz eye tracking data from an experiment on continuous upright and inverted face detection in both background and no-background conditions. 56 subjects participated in 72 sessions in total in 3 different experiments of 24 sessions. Each session had 4000 trials split into 8 blocks of 500 trials in one of the four different experimental conditions: {upright, inverted} x {scene, no scene}. There are 96,000 trials in each experiment.<br><br>Experiment 1: Full screen eccentricities, unblended facesExperiment 2: 4 degree eccentricities, unblended facesExperiment 3: 4 degree eccentricities, blended faces<br>Data includes Matlab data files with de-identified subject numbers, image properties, blending properties, eye data according to stimulus onsets (raw sample data, saccade reaction times, saccade accuracies, pupil sizes, microsaccades, eccentricities, polar angles, etc).<br>There are three experimental files according to three experiments: <br><br>martin_zap_experiment1.mat (Experiment 1)martin_zap_experiment2.mat (Experiment 2)martin_zap_experiment3.mat (Experiment 3)<br>There is also a Matlab utility script for selecting portions of the data named selectIndices.m<br>The data was finalized on October 2, 2018. Please make sure your downloaded files each have the following corresponding md5sum:<br>martin_zap_experiment1.mat 1a78bc3b30a77ce24e84d41da43f2c6a<br>martin_zap_experiment2.mat cd78bbe46a0362c4e12c4b915b7e731f<br>martin_zap_experiment3.mat 308b31b2aa1f7ff7d4a42bb14c2033c3selectIndices.m 8aac4f2d7faab091d6ca2c06920f9dc9<br>Please see the papers referenced below for further descriptions.<br>If you publish or present anything based upon this data, you should please cite the following two papers: <br>Jacob G Martin*, Charles E. Davis, Maximilian Riesenhuber, Simon J Thorpe. Zapping 500 faces in less than 100 seconds: evidence for extremely fast and sustained continuous visual search. <b>(2018) Nature Sci. Rep.</b> 8:12482. https://doi.org/10.1038/s41598-018-30245-8<br>Jacob G Martin*, Charles E. Davis, Maximilian Riesenhuber, Simon J Thorpe. <b></b>High resolution human eye tracking during continuous visual search. <b>(2018) </b><b>Frontiers in Human Neuroscience </b>12:374. https://doi.org/10.3389/fnhum.2018.00374<br>------------------------------------------------------------------------------The change log for updates to the datasets will appear below and be updated if any changes are made.<br>CHANGELOG<br>October 2, 2018: Initial upload<br>
DOI: 10.6084/m9.figshare.5549329
title: Dive Summary Data

description: HarborPorpoiseData_JEB includes the heart rate, respiration rate, dive behavior for each dive from 3 captive porpoise that was in used in McDonald et al. (Journal of Experimental Biology). Porpoise Spreadsheet Column explanations describes the variables.
DOI: 10.6084/m9.figshare.5549356.v1
title: Social laughter in preschool children: Dataset, analysis scripts and supporting materials.

description: The full dataset, analysis scripts and preprint from our study of social laughter in preschool children.<br><br>Abstract<br>======<br>Surprisingly little research has investigated social laughter in preschool children. We studied children’s responses to amusing video clips in the presence or absence of peers. The sample consisted of 9 boys and 11 girls aged 2-4 who watched three cartoons under three different conditions, either individually, in pairs or in groups of 6-8. The social conditions showed significantly higher the numbers of laughs and smiles than individual viewing. Children laughed eight times as much and smiled almost three times as much in company. No differences were found between pairs and groups and no association was found between subjective funniness ratings and group size. This suggests that presence of even a single social partner can change behaviour in response to humorous material and that it is the sociability of the situation, rather than its humour, that elicits laughter.<br>
DOI: 10.6084/m9.figshare.5549356.v2
title: Social facilitation of laughter and smiles in preschool children: Dataset, analysis scripts and supporting materials.

description: The full dataset, analysis scripts and preprint from our study of social laughter in preschool children.<br><br>Abstract<br>======<br>Surprisingly little research has investigated the social dimension of laughter in preschool children. This experiment studied children’s responses to amusing video clips in the presence or absence of peers. The sample consisted of 9 boys and 11 girls aged 31-49 months (mean 39.8, SD 4.2) who watched three cartoons under three different conditions: individually, in pairs, or in groups of 6 or 8. The social viewing conditions showed significantly higher numbers of laughs and smiles than the individual viewing condition. On average children laughed eight times more in company as on their own, and smiled almost three times as much. No differences were found between pairs and groups, and no association was found between subjective funniness ratings and group size. This suggests that the presence of even a single social partner can change behaviour in response to humorous material. It supports the idea that laughter and smiles are primarily flexible social signals rather than reflexive responses to humour.<br>
DOI: 10.6084/m9.figshare.5549362.v2
title: Zapping Experiment Data (Martin et al. 2018)

description: High resolution 1250hz eye tracking data from an experiment on continuous upright and inverted face detection in both background and no-background conditions. 56 subjects participated in 72 sessions in total in 3 different experiments of 24 sessions. Each session had 4000 trials split into 8 blocks of 500 trials in one of the four different experimental conditions: {upright, inverted} x {scene, no scene}. There are 96,000 trials in each experiment.<br><br>Experiment 1: Full screen eccentricities, unblended facesExperiment 2: 4 degree eccentricities, unblended facesExperiment 3: 4 degree eccentricities, blended faces<br>Data includes Matlab data files with de-identified subject numbers, image properties, blending properties, eye data according to stimulus onsets (raw sample data, saccade reaction times, saccade accuracies, pupil sizes, microsaccades, eccentricities, polar angles, etc).<br>There are three experimental files according to three experiments: <br><br>martin_zap_experiment1.mat (Experiment 1)martin_zap_experiment2.mat (Experiment 2)martin_zap_experiment3.mat (Experiment 3)<br>There is also a Matlab utility script for selecting portions of the data named selectIndices.m<br>The data was finalized on October 2, 2018. Please make sure your downloaded files each have the following corresponding md5sum:<br>martin_zap_experiment1.mat 1a78bc3b30a77ce24e84d41da43f2c6a<br>martin_zap_experiment2.mat cd78bbe46a0362c4e12c4b915b7e731f<br>martin_zap_experiment3.mat 308b31b2aa1f7ff7d4a42bb14c2033c3selectIndices.m 8aac4f2d7faab091d6ca2c06920f9dc9<br>Please see the papers referenced below for further descriptions.<br>If you publish or present anything based upon this data, you should please cite the following two papers: <br>Jacob G Martin*, Charles E. Davis, Maximilian Riesenhuber, Simon J Thorpe. Zapping 500 faces in less than 100 seconds: evidence for extremely fast and sustained continuous visual search. <b>(2018) Nature Sci. Rep.</b> 8:12482. https://doi.org/10.1038/s41598-018-30245-8<br>Jacob G Martin*, Charles E. Davis, Maximilian Riesenhuber, Simon J Thorpe. <b></b>High resolution human eye tracking during continuous visual search. <b>(2018) </b><b>Frontiers in Human Neuroscience </b>12:374. https://doi.org/10.3389/fnhum.2018.00374<br>------------------------------------------------------------------------------The change log for updates to the datasets will appear below and be updated if any changes are made.<br>CHANGELOG<br>October 2, 2018: Initial upload<br>
DOI: 10.6084/m9.figshare.5549278
title: Plant probiotic bacteria suppress wheat blast fungus Magnaporthe oryzae Triticum pathotype

description: <b>Biological control of fearsome wheat blast by bacterial antagonist from native environment.</b>
DOI: 10.6084/m9.figshare.5549290
title: Neuronal mRNP transport follows an aging Levy walk

description: A newly transcribed mRNA binds multiple RBPs to form an mRNP, which is subsequently transported into a dendrite. There are multiple microtubule tracks along each dendrite. An mRNP particle is transported bidirectionally by concerted work of motor proteins along the microtubules. Using a genetically engineered mouse that expresses β-actin mRNA labeled with green fluorescent proteins (GFPs), we imaged individual β-actin mRNP particles in hippocampal neurons using wide-field fluorescence microscopy. Because each -actin mRNA is labeled with up to 48 GFPs, individual mRNPs appear as bright spots in fluorescence images. In neurons, mRNP complexes, often called neuronal RNA granules, contain many RBPs and ribosomes and are particularly large with an estimated size of 175-600 nm. The addition of 48 GFPs, each of which is approximately 4 nm in diameter, would not significantly alter the overall size of RNA granules (less than 0.06% difference) or their native dynamics. By tracking these spots in time-lapse images, we monitored the active transport of mRNP particles in live neurons. We selected a region of interest along adendrite, as highlighted in yellow in Fig. 1b, and generated a straightened image of the dendrite. From the straightened time-lapse image stack, we obtained one-dimensional trajectories of individual mRNPs along the curvilinear line of the dendrite they reside in. We collected data from 57 cells in 12 batches of neuron culture and obtained 102 kymographs. The trajectories of 682 mRNP particles were analyzed with a time resolution of t0 = 100 ms and a spatial resolution of 205 nm.
DOI: 10.6084/m9.figshare.5549362.v3
title: High Resolution Human Eye Tracking During Continuous Visual Search (Martin et al. 2018)

description: High resolution 1250hz eye tracking data from an experiment on continuous upright and inverted face detection in both background and no-background conditions. 56 subjects participated in 72 sessions in total in 3 different experiments of 24 sessions. Each session had 4000 trials split into 8 blocks of 500 trials in one of the four different experimental conditions: {upright, inverted} x {scene, no scene}. There are 96,000 trials in each experiment.<br><br>Experiment 1: Full screen eccentricities, unblended facesExperiment 2: 4 degree eccentricities, unblended facesExperiment 3: 4 degree eccentricities, blended faces<br>Data includes Matlab data files with de-identified subject numbers, image properties, blending properties, eye data according to stimulus onsets (raw sample data, saccade reaction times, saccade accuracies, pupil sizes, microsaccades, eccentricities, polar angles, etc).<br>There are three experimental files according to three experiments: <br><br>martin_zap_experiment1.mat (Experiment 1)martin_zap_experiment2.mat (Experiment 2)martin_zap_experiment3.mat (Experiment 3)<br>There is also a Matlab utility script for selecting portions of the data named selectIndices.m<br>The data was finalized on October 2, 2018. Please make sure your downloaded files each have the following corresponding md5sum:<br>martin_zap_experiment1.mat 1a78bc3b30a77ce24e84d41da43f2c6a<br>martin_zap_experiment2.mat cd78bbe46a0362c4e12c4b915b7e731f<br>martin_zap_experiment3.mat 308b31b2aa1f7ff7d4a42bb14c2033c3selectIndices.m 8aac4f2d7faab091d6ca2c06920f9dc9<br>Please see the papers referenced below for further descriptions.<br>If you publish or present anything based upon this data, you should please cite the following two papers: <br>Jacob G Martin*, Charles E. Davis, Maximilian Riesenhuber, Simon J Thorpe. Zapping 500 faces in less than 100 seconds: evidence for extremely fast and sustained continuous visual search. <b>(2018) Nature Sci. Rep.</b> 8:12482. https://doi.org/10.1038/s41598-018-30245-8<br>Jacob G Martin*, Charles E. Davis, Maximilian Riesenhuber, Simon J Thorpe. <b></b>High resolution human eye tracking during continuous visual search. <b>(2018) </b><b>Frontiers in Human Neuroscience </b>12:374. https://doi.org/10.3389/fnhum.2018.00374<br>------------------------------------------------------------------------------The change log for updates to the datasets will appear below and be updated if any changes are made.<br>CHANGELOG<br>October 2, 2018: Initial upload<br>
DOI: 10.6084/m9.figshare.5549203
title: Table 1

description: List of AIC, -2 log-likelihood and P-value for the hypothesis models. The AIC and log-likelihood values were generated for each model while estimating parameters using MONOLIX. The relationship between the P-value and △AIC is following: P-value = Probability (χ2 k &gt; △AIC + 2k). Here, k is the degree of freedom (i.e. the difference in T - the total number of model parameters, including both structural and statistical model). Using this relationship, P-value was calculated using Chi-squared distribution (CHIDIST) function in Microsoft Excel, while comparing the AIC value and number of parameters for each hypothesis model with the original model (PiOM).
DOI: 10.6084/m9.figshare.5549203.v1
title: Table 1

description: List of AIC, -2 log-likelihood and P-value for the hypothesis models. The AIC and log-likelihood values were generated for each model while estimating parameters using MONOLIX. The relationship between the P-value and △AIC is following: P-value = Probability (χ2 k &gt; △AIC + 2k). Here, k is the degree of freedom (i.e. the difference in T - the total number of model parameters, including both structural and statistical model). Using this relationship, P-value was calculated using Chi-squared distribution (CHIDIST) function in Microsoft Excel, while comparing the AIC value and number of parameters for each hypothesis model with the original model (PiOM).
DOI: 10.6084/m9.figshare.5549182
title: Figure 1

description: Expression profiles of (A) PHO2, (B) IPS1 and (C) miR399 in Pi-starved rice seedling (cv. Nippobare) roots. The expression levels are relative to the +P condition at time point zero. Errors bars are SE and n = 3. Relative expression levels were normalized to that of an internal control, Os-ACTIN.
DOI: 10.6084/m9.figshare.5549290.v4
title: Neuronal mRNP transport follows an aging Levy walk

description: A newly transcribed mRNA binds multiple RBPs to form an mRNP, which is subsequently transported into a dendrite. There are multiple microtubule tracks along each dendrite. An mRNP particle is transported bidirectionally by concerted work of motor proteins along the microtubules. Using a genetically engineered mouse that expresses β-actin mRNA labeled with green fluorescent proteins (GFPs), we imaged individual β-actin mRNP particles in hippocampal neurons using wide-field fluorescence microscopy. Because each -actin mRNA is labeled with up to 48 GFPs, individual mRNPs appear as bright spots in fluorescence images. In neurons, mRNP complexes, often called neuronal RNA granules, contain many RBPs and ribosomes and are particularly large with an estimated size of 175-600 nm. The addition of 48 GFPs, each of which is approximately 4 nm in diameter, would not significantly alter the overall size of RNA granules (less than 0.06% difference) or their native dynamics. By tracking these spots in time-lapse images, we monitored the active transport of mRNP particles in live neurons. We selected a region of interest along adendrite, as highlighted in yellow in Fig. 1b, and generated a straightened image of the dendrite. From the straightened time-lapse image stack, we obtained one-dimensional trajectories of individual mRNPs along the curvilinear line of the dendrite they reside in. We collected data from 57 cells in 12 batches of neuron culture and obtained 102 kymographs. The trajectories of 682 mRNP particles were analyzed with a time resolution of t0 = 100 ms and a spatial resolution of 205 nm.
DOI: 10.6084/m9.figshare.5549161
title: S2 Appendix.dta

description: Dataset for the article:Who is More Likely to be Obese or Overweight among Siblings? A Nationally Representative Study in Rural China
DOI: 10.6084/m9.figshare.5549161.v1
title: S2 Appendix.dta

description: Dataset for the article:Who is More Likely to be Obese or Overweight among Siblings? A Nationally Representative Study in Rural China
DOI: 10.6084/m9.figshare.5549149
title: 2017 Panopticon As Corporation

description: This figure features in the IEEE SSSIT opinion piece that will be published in 2017 titled " Pervasive Technology: Aboriginal Communities and Oppression." The figure suggests that all online systems due to data retention laws in Australia are now subject to interception and interrogation by those who conduct surveillance of personal data and related service agencies.
DOI: 10.6084/m9.figshare.5549104
title: TraRECo: Simulated reads and its reference transcriptome

description: Simulated reads and its reference transcriptomegenerated with Flux SimulatorUsed for evaluation of TraRECo, a de novo transcriptome assembler developed by S. Yoon