cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12794771.v1
title: Ferguson et al 2020 Trichogramma brassicae hybrid genome, supplemtary materials companion document

description: Document containing list of supplementary materials to manuscript and where to find them.
DOI: 10.6084/m9.figshare.12794810
title: Live visualization of ERK activity in the mouse blastocyst reveals lineage specific signaling dynamics

description: Confocal time-lapse images of hemizygous <i>Hprt<sup>ERK-KTR </sup></i>and homozygous<i><sup> </sup></i><i>R26<sup>NLS-mKate2</sup></i> embryos during pre-implantation development.
DOI: 10.6084/m9.figshare.12794546
title: Wind130

description: https://podaac-tools.jpl.nasa.gov/drive/files/allData/ascat/preview/L2/metop_a/25km/2018/130
DOI: 10.6084/m9.figshare.12794546.v2
title: Wind130

description: https://podaac-tools.jpl.nasa.gov/drive/files/allData/ascat/preview/L2/metop_a/25km/2018/130
DOI: 10.6084/m9.figshare.12794546.v1
title: ASCAT_122

description: https://podaac-tools.jpl.nasa.gov/drive/files/allData/ascat/preview/L2/metop_a/25km/2018/122
DOI: 10.6084/m9.figshare.12794348
title: The Sexual Function Questionnaire: Validation and Gender-Neutral Adaptation to Hungarian (SFQ18_HU)

description: Assessment tools on sexual functioning in Hungarian language are scarce. Studies on this topic in Hungarian-speaking populations are very limited in number. There is no comprehensive questionnaire or inventory validated on a Hungarian population, on males or in a gender-neutral form. In order to fill in this gap, the objective of this study was the translation, adaptation and validation of the Sexual Function Questionnaire- Version 2 (SFQ-V2) into Hungarian, in a gender-neutral language, to make it suitable for both genders.
DOI: 10.6084/m9.figshare.12794354
title: Test results

description: Results obtained using test data.<br>
DOI: 10.6084/m9.figshare.12794348.v1
title: The Sexual Function Questionnaire: Validation and Gender-Neutral Adaptation to Hungarian (SFQ18_HU)

description: Assessment tools on sexual functioning in Hungarian language are scarce. Studies on this topic in Hungarian-speaking populations are very limited in number. There is no comprehensive questionnaire or inventory validated on a Hungarian population, on males or in a gender-neutral form. In order to fill in this gap, the objective of this study was the translation, adaptation and validation of the Sexual Function Questionnaire- Version 2 (SFQ-V2) into Hungarian, in a gender-neutral language, to make it suitable for both genders.
DOI: 10.6084/m9.figshare.12794354.v1
title: Test results

description: Results obtained using test data.<br>
DOI: 10.6084/m9.figshare.12794261
title: Brinkmann et al., 2020, Nanotoxicology, 16S rRNA sequences

description: These files comprise fasta formatted and raw fastq 16S rRNA sequences of bacterial colonies isolated from zebrafish larvae that had been exposed to silver nanoparticles (nAg) in acute toxicity tests. Sequences of isolates from larvae that had not been exposed to nanoparticles (Control) are also included in the file. <br>Details of this experiment have been published in <i>Nanotoxicology</i>: <br><br>Brinkmann BW, Koch BEV, Spaink HP, Peijnenburg WJGM, and Vijver MG, 2020. Colonizing microbiota protect zebrafish larvae against silver nanoparticle toxicity. <i>Nanotoxicology, </i>14(6): 725-739. Doi: 10.1080/17435390.2020.1755469<br><br>The description line specifies:- Colony numbers corresponding to the numbers presented in Table S3 of the publication in <i>Nanotoxicology.</i><br>- The applied sequencing primer (27F).- Nanoparticle exposure group (nAg or Control).- A code referring to the parental zebrafish family that was crossed to obtain the larvae (A8, A9, A21, A22 or A30).<br>
DOI: 10.6084/m9.figshare.12794261.v1
title: Brinkmann et al., 2020, Nanotoxicology, 16S rRNA sequences

description: This file comprises fasta formatted sequences of bacterial colonies isolated from zebrafish larvae that had been exposed to silver nanoparticles (nAg) in acute toxicity tests. Sequences of isolates from larvae that had not been exposed to nanoparticles (Control) are also included in the file. <br>Details of this experiment have been published in <i>Nanotoxicology</i>: <br><br>Brinkmann BW, Koch BEV, Spaink HP, Peijnenburg WJGM, and Vijver MG, 2020. Colonizing microbiota protect zebrafish larvae against silver nanoparticle toxicity. <i>Nanotoxicology, </i>14(6): 725-739. Doi: 10.1080/17435390.2020.1755469<br><br>The description line specifies:- Colony numbers corresponding to the numbers presented in Table S3 of the publication in <i>Nanotoxicology.</i><br>- The applied sequencing primer (27F).- Nanoparticle exposure group (nAg or Control).- A code referring to the parental zebrafish family that was crossed to obtain the larvae (A8, A9, A21, A22 or A30).<br>
DOI: 10.6084/m9.figshare.12794261.v3
title: Brinkmann et al., 2020, Nanotoxicology, 16S rRNA sequences

description: These files comprise fasta formatted and raw fastq 16S rRNA sequences of bacterial colonies isolated from zebrafish larvae that had been exposed to silver nanoparticles (nAg) in acute toxicity tests. Sequences of isolates from larvae that had not been exposed to nanoparticles (Control) are also included in the file. <br>Details of this experiment have been published in <i>Nanotoxicology</i>: <br><br>Brinkmann BW, Koch BEV, Spaink HP, Peijnenburg WJGM, and Vijver MG, 2020. Colonizing microbiota protect zebrafish larvae against silver nanoparticle toxicity. <i>Nanotoxicology, </i>14(6): 725-739. Doi: 10.1080/17435390.2020.1755469<br><br>The description line specifies:- Colony numbers corresponding to the numbers presented in Table S3 of the publication in <i>Nanotoxicology.</i><br>- The applied sequencing primer (27F).- Nanoparticle exposure group (nAg or Control).- A code referring to the parental zebrafish family that was crossed to obtain the larvae (A8, A9, A21, A22 or A30).<br>
DOI: 10.6084/m9.figshare.12794261.v2
title: Brinkmann et al., 2020, Nanotoxicology, 16S rRNA sequences

description: These files comprise fasta formatted and raw fastq 16S rRNA sequences of bacterial colonies isolated from zebrafish larvae that had been exposed to silver nanoparticles (nAg) in acute toxicity tests. Sequences of isolates from larvae that had not been exposed to nanoparticles (Control) are also included in the file. <br>Details of this experiment have been published in <i>Nanotoxicology</i>: <br><br>Brinkmann BW, Koch BEV, Spaink HP, Peijnenburg WJGM, and Vijver MG, 2020. Colonizing microbiota protect zebrafish larvae against silver nanoparticle toxicity. <i>Nanotoxicology, </i>14(6): 725-739. Doi: 10.1080/17435390.2020.1755469<br><br>The description line specifies:- Colony numbers corresponding to the numbers presented in Table S3 of the publication in <i>Nanotoxicology.</i><br>- The applied sequencing primer (27F).- Nanoparticle exposure group (nAg or Control).- A code referring to the parental zebrafish family that was crossed to obtain the larvae (A8, A9, A21, A22 or A30).<br>
DOI: 10.6084/m9.figshare.12794054
title: Mouse MCA datasets from Ribosomal proteins: mutant phenotypes by the numbers and associated gene expression changes

description: Multiple correspondence analysis of mouse ribosomal protein phenotypes
DOI: 10.6084/m9.figshare.12794057
title: Fly MCA datasets from Ribosomal proteins: mutant phenotypes by the numbers and associated gene expression changes

description: Multiple correspondence analysis of fly ribosomal protein phenotypes
DOI: 10.6084/m9.figshare.12794057.v1
title: Fly MCA datasets from Ribosomal proteins: mutant phenotypes by the numbers and associated gene expression changes

description: Multiple correspondence analysis of fly ribosomal protein phenotypes
DOI: 10.6084/m9.figshare.12794045
title: Worm MCA datasets from Ribosomal proteins: mutant phenotypes by the numbers and associated gene expression changes

description: Multiple correspondence analysis of worm ribosomal protein phenotypes
DOI: 10.6084/m9.figshare.12794051
title: Yeast MCA datasets from Ribosomal proteins: mutant phenotypes by the numbers and associated gene expression changes

description: Multiple correspondence analysis of yeast ribosomal protein phenotypes
DOI: 10.6084/m9.figshare.12794054.v1
title: Mouse MCA datasets from Ribosomal proteins: mutant phenotypes by the numbers and associated gene expression changes

description: Multiple correspondence analysis of mouse ribosomal protein phenotypes
DOI: 10.6084/m9.figshare.12794042
title: Fish MCA datasets from Ribosomal proteins: mutant phenotypes by the numbers and associated gene expression changes

description: Multiple correspondence analysis of fish ribosomal protein phenotypes
DOI: 10.6084/m9.figshare.12794045.v1
title: Worm MCA datasets from Ribosomal proteins: mutant phenotypes by the numbers and associated gene expression changes

description: Multiple correspondence analysis of worm ribosomal protein phenotypes
DOI: 10.6084/m9.figshare.12794048
title: Human ribosomal protein phenotypes from Ribosomal proteins: mutant phenotypes by the numbers and associated gene expression changes

description: Matrix of human ribosomal protein phenotypes
DOI: 10.6084/m9.figshare.12794051.v1
title: Yeast MCA datasets from Ribosomal proteins: mutant phenotypes by the numbers and associated gene expression changes

description: Multiple correspondence analysis of yeast ribosomal protein phenotypes
DOI: 10.6084/m9.figshare.12794048.v1
title: Human ribosomal protein phenotypes from Ribosomal proteins: mutant phenotypes by the numbers and associated gene expression changes

description: Matrix of human ribosomal protein phenotypes
DOI: 10.6084/m9.figshare.12794039
title: Ribosomal Proteins and Genes from Ribosomal proteins: mutant phenotypes by the numbers and associated gene expression changes

description: Gene names and unified nomenclature for each species
DOI: 10.6084/m9.figshare.12794042.v1
title: Fish MCA datasets from Ribosomal proteins: mutant phenotypes by the numbers and associated gene expression changes

description: Multiple correspondence analysis of fish ribosomal protein phenotypes
DOI: 10.6084/m9.figshare.12794039.v1
title: Ribosomal Proteins and Genes from Ribosomal proteins: mutant phenotypes by the numbers and associated gene expression changes

description: Gene names and unified nomenclature for each species
DOI: 10.6084/m9.figshare.12793967
title: README.txt from Interaction network effects on position- and velocity-based models of collective motion

description: We study how the structure of the interaction network affects self-organized collective motion in two minimal models of self-propelled agents: the Vicsek model and the Active-Elastic (AE) model. We perform simulations with topologies that interpolate between a nearest-neighbour network and random networks with different degree distributions to analyse the relationship between the interaction topology and the resilience to noise of the ordered state. For the Vicsek case, we find that a higher fraction of random connections with homogeneous or power-law degree distribution increases the critical noise, and thus the resilience to noise, as expected due to small-world effects. Surprisingly, for the AE model, a higher fraction of random links with power-law degree distribution can decrease this resilience, despite most links being long-range. We explain this effect through a simple mechanical analogy, arguing that the larger presence of agents with few connections contributes localized low-energy modes that are easily excited by noise, thus hindering the collective dynamics. These results demonstrate the strong effects of the interaction topology on self-organization. Our work suggests potential roles of the interaction network structure in biological collective behaviour and could also help improve decentralized swarm robotics control and other distributed consensus systems.
DOI: 10.6084/m9.figshare.12793967.v1
title: README.txt from Interaction network effects on position- and velocity-based models of collective motion

description: We study how the structure of the interaction network affects self-organized collective motion in two minimal models of self-propelled agents: the Vicsek model and the Active-Elastic (AE) model. We perform simulations with topologies that interpolate between a nearest-neighbour network and random networks with different degree distributions to analyse the relationship between the interaction topology and the resilience to noise of the ordered state. For the Vicsek case, we find that a higher fraction of random connections with homogeneous or power-law degree distribution increases the critical noise, and thus the resilience to noise, as expected due to small-world effects. Surprisingly, for the AE model, a higher fraction of random links with power-law degree distribution can decrease this resilience, despite most links being long-range. We explain this effect through a simple mechanical analogy, arguing that the larger presence of agents with few connections contributes localized low-energy modes that are easily excited by noise, thus hindering the collective dynamics. These results demonstrate the strong effects of the interaction topology on self-organization. Our work suggests potential roles of the interaction network structure in biological collective behaviour and could also help improve decentralized swarm robotics control and other distributed consensus systems.
DOI: 10.6084/m9.figshare.12793913
title: Table S1 from Dispersal and migration have contrasting effects on butterfly flight morphology and reproduction

description: Dispersal information for Catopsilia
DOI: 10.6084/m9.figshare.12793913.v1
title: Table S1 from Dispersal and migration have contrasting effects on butterfly flight morphology and reproduction

description: Dispersal information for Catopsilia
DOI: 10.6084/m9.figshare.12793901
title: 2019 02 02 Scientific Methodology and Results

description: Slide presentation on the scientific methodology and results along with supporting data of frame-by-frame stabilized crops from two video clips. Files are saved both as PowerPoint for best resolution and embedded video, and a pdf for smaller size but possibly lower image quality and lacking embedded video.<br>Project order 97a.<br>
DOI: 10.6084/m9.figshare.12793901.v2
title: 2019 02 02 Scientific Methodology and Results

description: Slide presentation on the scientific methodology and results along with supporting data of frame-by-frame stabilized crops from two video clips. Files are saved both as PowerPoint for best resolution and embedded video, and a pdf for smaller size but possibly lower image quality and lacking embedded video.<br>Project order 97a.<br>
DOI: 10.6084/m9.figshare.12793865
title: Supplementary Material for: Calcitonin Gene-Related Peptide-Induced Phosphorylation of STAT3 in Arcuate Neurons Is a Link in the Metabolic Benefits of Portal Glucose

description: <b><i>Introduction:</i></b> Intestinal gluconeogenesis (IGN) exerts metabolic benefits in energy homeostasis via the neural sensing of portal glucose. <b><i>Objective:</i></b> The aim of this work was to determine central mechanisms involved in the effects of IGN on the control of energy homeostasis. <b><i>Methods:</i></b> We investigated the effects of glucose infusion into the portal vein, at a rate that mimics IGN, in conscious wild-type, leptin-deficient <i>Ob/Ob</i> and calcitonin gene-related peptide (CGRP)-deficient mice. <b><i>Results:</i></b> We report that portal glucose infusion decreases food intake and plasma glucose and induces in the hypothalamic arcuate nucleus (ARC) the phosphorylation of STAT3, the classic intracellular messenger of leptin signaling. This notably takes place in POMC-expressing neurons. STAT3 phosphorylation does not require leptin, since portal glucose effects are observed in leptin-deficient <i>Ob/Ob</i> mice. We hypothesized that the portal glucose effects could require CGRP, a neuromediator previously suggested to suppress hunger. In line with this hypothesis, neither the metabolic benefits nor the phosphorylation of STAT3 in the ARC take place upon portal glucose infusion in CGRP-deficient mice. Moreover, intracerebroventricular injection of CGRP activates hypothalamic phosphorylation of STAT3 in mice, and CGRP does the same in hypothalamic cells. Finally, no metabolic benefit of dietary fibers (known to depend on the induction of IGN), takes place in CGRP-deficient mice. <b><i>Conclusions:</i></b> CGRP-induced phosphorylation of STAT3 in the ARC is part of the neural chain determining the hunger-modulating and glucose-lowering effects of IGN/portal glucose.
DOI: 10.6084/m9.figshare.12793901.v1
title: 2019 02 02 Scientific Methodology and Results

description: Slide presentation on the scientific methodology and results along with supporting data of frame-by-frame stabilized crops from two video clips. Files are saved both as PowerPoint for best resolution and embedded video, and a pdf for smaller size but possibly lower image quality and lacking embedded video.<br>Project order 97a.<br>
DOI: 10.6084/m9.figshare.12793850
title: 2019 02 02 VID00005 Stabilized Cropped Frames

description: Stabilized cropped frames of VID00005 taken on 2 February 2019. Original pixel data are retained as frames are cropped relative to an anchor point in the fixed background.<br>Project order 96a.
DOI: 10.6084/m9.figshare.12793865.v1
title: Supplementary Material for: Calcitonin Gene-Related Peptide-Induced Phosphorylation of STAT3 in Arcuate Neurons Is a Link in the Metabolic Benefits of Portal Glucose

description: <b><i>Introduction:</i></b> Intestinal gluconeogenesis (IGN) exerts metabolic benefits in energy homeostasis via the neural sensing of portal glucose. <b><i>Objective:</i></b> The aim of this work was to determine central mechanisms involved in the effects of IGN on the control of energy homeostasis. <b><i>Methods:</i></b> We investigated the effects of glucose infusion into the portal vein, at a rate that mimics IGN, in conscious wild-type, leptin-deficient <i>Ob/Ob</i> and calcitonin gene-related peptide (CGRP)-deficient mice. <b><i>Results:</i></b> We report that portal glucose infusion decreases food intake and plasma glucose and induces in the hypothalamic arcuate nucleus (ARC) the phosphorylation of STAT3, the classic intracellular messenger of leptin signaling. This notably takes place in POMC-expressing neurons. STAT3 phosphorylation does not require leptin, since portal glucose effects are observed in leptin-deficient <i>Ob/Ob</i> mice. We hypothesized that the portal glucose effects could require CGRP, a neuromediator previously suggested to suppress hunger. In line with this hypothesis, neither the metabolic benefits nor the phosphorylation of STAT3 in the ARC take place upon portal glucose infusion in CGRP-deficient mice. Moreover, intracerebroventricular injection of CGRP activates hypothalamic phosphorylation of STAT3 in mice, and CGRP does the same in hypothalamic cells. Finally, no metabolic benefit of dietary fibers (known to depend on the induction of IGN), takes place in CGRP-deficient mice. <b><i>Conclusions:</i></b> CGRP-induced phosphorylation of STAT3 in the ARC is part of the neural chain determining the hunger-modulating and glucose-lowering effects of IGN/portal glucose.
DOI: 10.6084/m9.figshare.12793847
title: 2019 02 02 VID00005 Original Frames

description: Relevant frames of VID00005 taken on 2 February 2019. Frames are extracted using Cisco FlipShare software distributed with the Cisco Flip UltraHD 720p digital video recorder used to record the video.<br>Project order 95a.
DOI: 10.6084/m9.figshare.12793814
title: 2019 02 02 VID00004 Stabilized Cropped Frames

description: Stabilized cropped frames of VID00004 taken on 2 February 2019. Original pixel data are retained as frames are cropped relative to an anchor point in the fixed background.<br>Project order 94a.
DOI: 10.6084/m9.figshare.12793847.v1
title: 2019 02 02 VID00005 Original Frames

description: Relevant frames of VID00005 taken on 2 February 2019. Frames are extracted using Cisco FlipShare software distributed with the Cisco Flip UltraHD 720p digital video recorder used to record the video.<br>Project order 95a.
DOI: 10.6084/m9.figshare.12793850.v1
title: 2019 02 02 VID00005 Stabilized Cropped Frames

description: Stabilized cropped frames of VID00005 taken on 2 February 2019. Original pixel data are retained as frames are cropped relative to an anchor point in the fixed background.<br>Project order 96a.
DOI: 10.17608/k6.auckland.12793772
title: Supplementary Tables S4

description: Linear modelling results showing taxonomic associations using 16s rRNA amplicon and shotgun metagenomic sequencing.<br>
DOI: 10.17608/k6.auckland.12793811
title: Supplementary Table S5

description: Resutls of PERMANOVA (Bray-Curtis dissimilarity) and Chi-square independence test to access the variance of taxonomic profiles and inter-related relationship between two catergorical variables, respectively.
DOI: 10.6084/m9.figshare.12793778
title: Social Validation_Post-coma_2020

description: Database of Social Validation including Neurologists, Physiotherapists, Psychologists, Parents, and Speech therapists as raters.
DOI: 10.6084/m9.figshare.12793778.v1
title: Social Validation_Post-coma_2020

description: Database of Social Validation including Neurologists, Physiotherapists, Psychologists, Parents, and Speech therapists as raters.
DOI: 10.6084/m9.figshare.12793814.v1
title: 2019 02 02 VID00004 Stabilized Cropped Frames

description: Stabilized cropped frames of VID00004 taken on 2 February 2019. Original pixel data are retained as frames are cropped relative to an anchor point in the fixed background.<br>Project order 94a.
DOI: 10.17608/k6.auckland.12793772.v1
title: Supplementary Tables S4

description: Linear modelling results showing taxonomic associations using 16s rRNA amplicon and shotgun metagenomic sequencing.<br>
DOI: 10.17608/k6.auckland.12793811.v2
title: Supplementary Table S5

description: Resutls of PERMANOVA (Bray-Curtis dissimilarity) and Chi-square independence test to access the variance of taxonomic profiles and inter-related relationship between two catergorical variables, respectively.
DOI: 10.17608/k6.auckland.12793811.v1
title: Supplementary Table S5

description: Resutls of PERMANOVA (Bray-Curtis dissimilarity) and Chi-square independence test to access the variance of taxonomic profiles and inter-related relationship between two catergorical variables, respectively.