cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6546229
title: SaGA++ Speech-Gesture Dataset Extension

description: This is the dataset extension release for the SaGA dataset. We have extracted anonymous features from all the 25 recordings and release them all now instead of only 6 recordings that were previously released. The modalities included are text annotations, gesture annotations, prosodic audio features, and movement trajectories. More details are provided in the README document included in the dataset. <strong>Please reference the following papers in any publication making use of the Dataset:</strong> Kucherenko, T., Nagy, R., Neff, M., Kjellström, H., & Henter, G. E. (2022). Multimodal analysis of the predictability of hand-gesture properties. 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS). Lücking, A., Bergman, K., Hahn, F., Kopp, S., & Rieser, H. (2013). Data-based analysis of speech and gesture: The Bielefeld Speech and Gesture Alignment Corpus (SaGA) and its applications. <em>Journal on Multimodal User Interfaces</em>, <em>7</em>(1), 5-18.
description: {"references": ["Taras Kucherenko, Rajmund Nagy, Michael Neff, Hedvig Kjellstr\u00f6m, and Gustav Eje Henter. Multimodal analysis of the predictability of hand-gesture properties. 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS). 2022", "L\u00fccking, A., Bergman, K., Hahn, F. et al. Data-based analysis of speech and gesture: the Bielefeld Speech and Gesture Alignment corpus (SaGA) and its applications. J Multimodal User Interfaces 7, 5\u201318 (2013)."]}
DOI: 10.5281/zenodo.6534502
title: SaGA++ Speech-Gesture Dataset Extension

description: This is the dataset extension release for the SaGA dataset. We have extracted anonymous features from all the 25 recordings and release them all now instead of only 6 recordings that were previously released. The modalities included are text annotations, gesture annotations, prosodic audio features, and movement trajectories. More details are provided in the README document included in the dataset. <strong>Please reference the following papers in any publication making use of the Dataset:</strong> Kucherenko, T., Nagy, R., Neff, M., Kjellström, H., & Henter, G. E. (2022). Multimodal analysis of the predictability of hand-gesture properties. 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS). Lücking, A., Bergman, K., Hahn, F., Kopp, S., & Rieser, H. (2013). Data-based analysis of speech and gesture: The Bielefeld Speech and Gesture Alignment Corpus (SaGA) and its applications. <em>Journal on Multimodal User Interfaces</em>, <em>7</em>(1), 5-18.
description: {"references": ["Taras Kucherenko, Rajmund Nagy, Michael Neff, Hedvig Kjellstr\u00f6m, and Gustav Eje Henter. Multimodal analysis of the predictability of hand-gesture properties. 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS). 2022", "L\u00fccking, A., Bergman, K., Hahn, F. et al. Data-based analysis of speech and gesture: the Bielefeld Speech and Gesture Alignment corpus (SaGA) and its applications. J Multimodal User Interfaces 7, 5\u201318 (2013)."]}
DOI: 10.34740/kaggle/dsv/3627767
title: 2021 World Population (updated daily)
DOI: 10.6073/pasta/127ceb32ee80675b1484e154c3920b45
title: Biodiversity expert responses to survey questions

description: Despite substantial progress in understanding global biodiversity loss, major taxonomic and geographic knowledge gaps remain. Decisionmakers often rely on expert judgement to fill knowledge gaps, but are rarely able to engage with sufficiently large and diverse groups of experts. To improve understanding of the perspectives of thousands of biodiversity experts worldwide, we conducted a survey and asked experts to focus on the taxa and freshwater, terrestrial, or marine ecosystem they know best. We identified biodiversity experts as corresponding authors of papers published on the topic of biodiversity in scientific journals indexed in the Web of Science over the decade from January 2010 to December 2019. Focusing on the taxa and ecosystems they know best, these experts estimated past and future global biodiversity loss, which was defined in the survey as the percentage of species that are globally threatened or extinct. Experts also ranked the direct and indirect drivers of global biodiversity loss and estimated its impacts on ecosystem functioning and nature's contributions to people. We received 3,331 responses from biodiversity experts who live in 113 countries and who research biodiversity in nearly all (187) countries, including all major habitats in freshwater, terrestrial, and marine ecosystems. The data provided here are the 3,331 responses (rows) to survey questions (columns).
DOI: 10.5281/zenodo.6546422
title: Replication package for: We are all behavioral, more or less: A taxonomy of consumer decision making

description: Code and data for reproducing tables in the paper.
DOI: 10.5281/zenodo.6459703
title: analyze data for paper analyzes

description: The paper analyzes the required data. For specific abbreviations, see relevant papers. Links to published articles will be added later.
DOI: 10.5281/zenodo.6459702
title: analyze data for paper analyzes

description: The paper analyzes the required data. For specific abbreviations, see relevant papers. Links to published articles will be added later.
DOI: 10.6084/m9.figshare.19762699.v1
title: The fluorescence of Saccharomyces cerevisiae without transformation and with transformation (pYES2CT- EGFP/ EGFP plasmid, pYES2CT-EGFP-Poly R / EGFP Polyarginine plasmid) at OD 600 on 48 hours.

description: The fluorescence of <em>Saccharomyces cerevisiae</em> without transformation and with transformation (pYES2CT- EGFP/ EGFP plasmid, pYES2CT-EGFP-Poly R / EGFP Polyarginine plasmid) at OD 600 on 48 hours. The data described the comparison of delta value fluorescence between <em>S. cerevisiae</em> with (pYES2CT- EGFP/ EGFP plasmid, pYES2CT-EGFP-Poly R / EGFP Polyarginine plasmid) and without transformation in 48 hours at OD of 600 nm. Delta value is the Fluorescent absorbance value minus background absorbance.
DOI: 10.5281/zenodo.6546467
title: Chanalyzer: a computational geometry approach for the analysis of protein channel shape and dynamics

description: Dataset of molecular dynamics trajectories described in the "Chanalyzer: a computational geometry approach for the analysis of protein channel shape and dynamics" work. Trajectories of differently functionalized MscL channel forms. The *_xyzr.tar.gz files contain the processed frames in the xyzr format, which is a compatible input for NanoShaper The conf.prm file is the parameter file that has been used for the NanoShaper tool
DOI: 10.5281/zenodo.6509651
title: Chanalyzer: a computational geometry approach for the analysis of protein channel shape and dynamics

description: Dataset of molecular dynamics trajectories described in the "Chanalyzer: a computational geometry approach for the analysis of protein channel shape and dynamics" work. Trajectories of differently functionalized MscL channel forms. The *_xyzr.tar.gz files contain the processed frames in the xyzr format, which is a compatible input for NanoShaper The conf.prm file is the parameter file that has been used for the NanoShaper tool
DOI: 10.34740/kaggle/ds/1986468
title: ImageNet-11
DOI: 10.6084/m9.figshare.14790393
title: Cross-cultural MTQ

description: Data for MTQ10 study
DOI: 10.6084/m9.figshare.14790393.v2
title: Cross-cultural MTQ

description: Data for MTQ10 study
DOI: 10.6084/m9.figshare.14790393.v1
title: Cross-cultural MTQ

description: Data for MTQ10 study
DOI: 10.6084/m9.figshare.19747354.v1
title: Microsoft Excel-Arbeitsblatt.BCV-Stdie.xlsx

description: excel database of collected data
DOI: 10.6084/m9.figshare.19747354
title: Microsoft Excel Arbeitsblatt BCV-Study

description: excel database of collected data
DOI: 10.6084/m9.figshare.19747354.v2
title: Microsoft Excel-Arbeitsblatt.BCV-Stdie.xlsx

description: excel database of collected data
DOI: 10.6084/m9.figshare.19762828
title: Data from: Effectiveness of Short-Term Isothermic-Heat Acclimation (4 days) on Physical Performance in Moderately Trained Males

description: n=12 males exercising in the hot and humid conditions. n=11 completed the control, all 12 completed the intervention. Data is raw physiological, hydration, and perceptual measures. README file contains abbreviations and calculations used.
DOI: 10.6084/m9.figshare.19762828.v1
title: Data from: Effectiveness of Short-Term Isothermic-Heat Acclimation (4 days) on Physical Performance in Moderately Trained Males

description: n=12 males exercising in the hot and humid conditions. n=11 completed the control, all 12 completed the intervention. Data is raw physiological, hydration, and perceptual measures. README file contains abbreviations and calculations used.
DOI: 10.21335/nmdc-2059376044
title: NORWECOM.E2E Hardangerfjord large scale bluemussel farming experiment

description: An eco-physiological model coupled with an ecosystem model, is used to simulate large scale blue mussel (Mytilus edulis) farming production and effects on the basis of the food web in the mesotrophic Hardangerfjord in Western Norway. Several levels of farming intensity is tested and assessed for two production purposes: aquafeed and human consumption.
DOI: 10.25345/c5pz51q8z
title: MassIVE MSV000089466 - ChemProp2-Xenobiotic Metabolism
title: Chemical Proportionality Experiment of B.subtilis with antibiotics & pesticides such as Sulfamethoxazole, sulfadimethoxine and asulam to look for potential biotransformation
DOI: 10.5281/zenodo.6546462
title: G0.412+0.052 continuum image & data cubes (ALMA project 2016.1.00949.S)

description: This dataset contains data from the ALMA project 2016.1.00949.S for G0.412+0.052 as presented in Williams et al. (2022). These data include the dust continuum, and data cubes for SiO (5-4), 13CO (2-1), and three transitions of H2CO. Both primary beam- and non primary beam-corrected data are included.
DOI: 10.5281/zenodo.6546461
title: G0.412+0.052 continuum image & data cubes (ALMA project 2016.1.00949.S)

description: This dataset contains data from the ALMA project 2016.1.00949.S for G0.412+0.052 as presented in Williams et al. (2022). These data include the dust continuum, and data cubes for SiO (5-4), 13CO (2-1), and three transitions of H2CO. Both primary beam- and non primary beam-corrected data are included.
DOI: 10.5281/zenodo.6473201
title: Structural conversion of α-synuclein at the mitochondria induces neuronal toxicity; Data sets

description: Lists of data sets included in <strong>"Structural conversion of α-synuclein at the mitochondria induces neuronal toxicity"</strong> Single-molecule confocal Quantification_Images (SNCA-A53T TIRF Images) TIRF Image Quantification TIRF Emission Data Single Vesicle Emission Data DLS Emission Data CD Measurements Amyloid Fibril TIRFM Emission Data α-Syn WT, A53T, A30P and E46K Confirmatory LCMS SNCA A53T iPSC mutation confirmatory Sanger Sequencing ELISA Immunocytochemistry (MAP2 and TRB1) Pierce BCA Protein Assay Aggregation Assay Copy of Empiar_upload_info (CLEM quantification); metadata spreadsheet for TEM and FIB-SEM Image Quantification Live-cell imaging data Superoxide Emission Data MitoTracker® Red Emission Data MembranePotentialEmissionData (the same experiment for ' TMRM Emission data') Ca 2+ Emission Data NADH Autofluorescence and Redox Quantification ATP Emission Data mPTP Emission Data Cell Death Emission Data (PI & SYTOX) FRET Emission Data MitoTracker® Red Assay Cell Death Assay
DOI: 10.5281/zenodo.6473200
title: Structural conversion of α-synuclein at the mitochondria induces neuronal toxicity; Data sets

description: Lists of data sets included in <strong>"Structural conversion of α-synuclein at the mitochondria induces neuronal toxicity"</strong> Single-molecule confocal Quantification_Images (SNCA-A53T TIRF Images) TIRF Image Quantification TIRF Emission Data Single Vesicle Emission Data DLS Emission Data CD Measurements Amyloid Fibril TIRFM Emission Data α-Syn WT, A53T, A30P and E46K Confirmatory LCMS SNCA A53T iPSC mutation confirmatory Sanger Sequencing ELISA Immunocytochemistry (MAP2 and TRB1) Pierce BCA Protein Assay Aggregation Assay Copy of Empiar_upload_info (CLEM quantification); metadata spreadsheet for TEM and FIB-SEM Image Quantification Live-cell imaging data Superoxide Emission Data MitoTracker® Red Emission Data MembranePotentialEmissionData (the same experiment for ' TMRM Emission data') Ca 2+ Emission Data NADH Autofluorescence and Redox Quantification ATP Emission Data mPTP Emission Data Cell Death Emission Data (PI & SYTOX) FRET Emission Data MitoTracker® Red Assay Cell Death Assay
DOI: 10.5281/zenodo.6539308
title: Tabular datasets for Park et al, 2022

description: tabular datasets used for immunofluorescence (Figure 1b, Extended Data Figure 3c) and transmission electron microscopy (Extended Data Figure 1h)
DOI: 10.5281/zenodo.6546469
title: Investigating the DNA methylation profile of e-cigarette use

description: EWAS of smoking (vs. non-smoking) in SEE-Cigs study (smvsnon_mainmodel.csv) EWAS of e-cigarette use (vs. smoking) in SEE-Cigs study (vapevssm_mainmodel.csv) EWAS of e-cigarette use (vs. non-smoking) in SEE-Cigs study (vapevsnon_mainmodel.csv)
DOI: 10.5281/zenodo.6546468
title: Investigating the DNA methylation profile of e-cigarette use

description: EWAS of smoking (vs. non-smoking) in SEE-Cigs study (smvsnon_mainmodel.csv) EWAS of e-cigarette use (vs. smoking) in SEE-Cigs study (vapevssm_mainmodel.csv) EWAS of e-cigarette use (vs. non-smoking) in SEE-Cigs study (vapevsnon_mainmodel.csv)
DOI: 10.11588/data/bwev3j/wkxtyp
title: Renz_rt-fMRI-NF_SI.pdf

description: :unav
DOI: 10.11588/data/bwev3j/nqno95
title: Monitor_IMA_arrivals.m

description: :unav
DOI: 10.11588/data/bwev3j/fdpt0f
title: SupplFigureS1.png

description: :unav
DOI: 10.11588/data/bwev3j/d55qqe
title: Figure2.png

description: :unav
DOI: 10.11588/data/bwev3j/zilj7c
title: Figure1.png

description: :unav
DOI: 10.11588/data/bwev3j
title: Practical challenges of continuous real-time fMRI neurofeedback with multi-band accelerated echo-planar imaging and short repetition times. [Materials for Replication]

description: Dataset containing publication, supplementary information, SOP & code for replication at other sites.
DOI: 10.6084/m9.figshare.19516456.v1
title: A procedure to detect and identify specific chemicals of potential inhalation toxicity concern in aerosols

description: Understanding the potential inhalation toxicity of poorly characterized aerosols is challenging both because aerosols may contain numerous chemicals and because it is difficult to predict which chemicals may present significant inhalation toxicity concerns at the observed levels. We have developed a novel systematic procedure to address these challenges through non-targeted chemical analysis by two-dimensional gas chromatography–time-of-flight mass spectrometry (GC × GC-TOFMS) and assessment of the results using publicly available toxicity data to prioritize the tentatively identified detected chemicals according to potential inhalation toxicity. The procedure involves non-targeted chemical analysis of aerosol samples utilizing GC × GC-TOFMS, which is selected because it is an effective technique for detecting chemicals in complex samples and assigning tentative identities according to the mass spectra. For data evaluation, existing toxicity data (e.g. from the U.S. Environmental Protection Agency CompTox Chemicals Dashboard) are used to calculate multiple toxicity metrics that can be compared among the tentatively identified chemicals. These metrics include hazard quotient, incremental lifetime cancer risk, and metrics analogous to hazard quotient that we designated as exposure–(toxicology endpoint) ratios. We demonstrated the utility of our procedure by detecting, identifying, and prioritizing specific chemicals of potential inhalation toxicity concern in the mainstream smoke generated from the machine-smoking of marijuana blunts. By designing a systematic approach for detecting and identifying numerous chemicals in complex aerosol samples and prioritizing the chemicals in relation to different inhalation toxicology endpoints, we have developed an effective approach to elucidate the potential inhalation toxicity of aerosols.
DOI: 10.5281/zenodo.6546580
title: Dataset supporting the publication, "Constraints on the role of Laplace pressure in multiphase reactions and viscosity of organic aerosols"

description: This dataset supports the publication, "Constraints on the role of Laplace pressure in multiphase reactions and viscosity of organic aerosols". This project was funded by the U.S. National Science Foundation Postdoctoral Fellowship Award #AGS-1624696.
DOI: 10.5281/zenodo.6546579
title: Dataset supporting the publication, "Constraints on the role of Laplace pressure in multiphase reactions and viscosity of organic aerosols"

description: This dataset supports the publication, "Constraints on the role of Laplace pressure in multiphase reactions and viscosity of organic aerosols". This project was funded by the U.S. National Science Foundation Postdoctoral Fellowship Award #AGS-1624696.
DOI: 10.34740/kaggle/dsv/3628017
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.6370443
title: Pre-Analysis Bioinformatics Files for The Microbiome and Volatile Organic Compounds Reflect the State of Decomposition in an Indoor Environment

description: Data statistics before and after trimming, FastQC reports before and after trimming, MultiQC reports before and after trimming, commands for the Kraken2-Bracken analysis, and classification reports. Read the read.me file for file names and descriptions.
DOI: 10.5281/zenodo.6370442
title: Pre-Analysis Bioinformatics Files for The Microbiome and Volatile Organic Compounds Reflect the State of Decomposition in an Indoor Environment

description: Data statistics before and after trimming, FastQC reports before and after trimming, MultiQC reports before and after trimming, commands for the Kraken2-Bracken analysis, and classification reports. Read the read.me file for file names and descriptions.
DOI: 10.5281/zenodo.6546560
title: Hydractinia strain 236-21 genome assembly and Alr domain predictions

description: This dataset is related to the preprint "A family of unusual A family of unusual immunoglobulin superfamily genes in an invertebrate histocompatibility complex" (https://www.biorxiv.org/content/10.1101/2022.03.04.482883v2). <strong>Preprint Abstract:</strong> Most colonial marine invertebrates are capable of allorecognition, the ability to distinguish between themselves and conspecifics. One long-standing question is whether invertebrate allorecognition genes are homologous to vertebrate histocompatibility genes. In the cnidarian <em>Hydractinia symbiolongicarpus, </em>allorecognition is controlled by at least two genes, <em>Allorecognition 1</em> (<em>Alr1</em>) and <em>Allorecognition 2 </em>(<em>Alr2</em>), which encode highly polymorphic cell surface proteins that serve as markers of self. Here, we show that <em>Alr1</em> and <em>Alr2</em> are part of a family of 41 <em>Alr </em>genes, all of which reside a single genomic interval called the Allorecognition Complex (ARC). Using sensitive homology searches and highly accurate structural predictions, we demonstrate that the Alr proteins are members of the immunoglobulin superfamily (IgSF) with V-set and I-set Ig domains unlike any previously identified in animals. Specifically, their primary amino acid sequences lack many of the motifs considered diagnostic for V-set and I-set domains, yet they adopt secondary and tertiary structures nearly identical to canonical Ig domains. Thus, the V-set domain, which played a central role in the evolution of vertebrate adaptive immunity, was present in the last common ancestor of cnidarians and bilaterians. Unexpectedly, several Alr proteins also have immunoreceptor tyrosine-based activation motifs (ITAMs) and immunoreceptor tyrosine-based inhibitory motifs (ITIMs) in their cytoplasmic tails, suggesting they could participate in pathways homologous to those that regulate immunity in humans and flies. This work expands our definition of the IgSF with the addition of a family of unusual members, several of which play a role in invertebrate histocompatibility. <strong>This dataset contains:</strong> <strong>Hsym-236-21-genome-assembly.fa.gz</strong>: A gzip-compressed FASTA-formatted file of the genome assembly generated in the paper. <strong>Alr-domain-structure-predictions.zip:</strong> a zip-compressed file with structural predictions produced with Colabfold for all domains of the Alr proteins described in that manuscript.
DOI: 10.5281/zenodo.6546559
title: Hydractinia strain 236-21 genome assembly and Alr domain predictions

description: This dataset is related to the preprint "A family of unusual A family of unusual immunoglobulin superfamily genes in an invertebrate histocompatibility complex" (https://www.biorxiv.org/content/10.1101/2022.03.04.482883v2). <strong>Preprint Abstract:</strong> Most colonial marine invertebrates are capable of allorecognition, the ability to distinguish between themselves and conspecifics. One long-standing question is whether invertebrate allorecognition genes are homologous to vertebrate histocompatibility genes. In the cnidarian <em>Hydractinia symbiolongicarpus, </em>allorecognition is controlled by at least two genes, <em>Allorecognition 1</em> (<em>Alr1</em>) and <em>Allorecognition 2 </em>(<em>Alr2</em>), which encode highly polymorphic cell surface proteins that serve as markers of self. Here, we show that <em>Alr1</em> and <em>Alr2</em> are part of a family of 41 <em>Alr </em>genes, all of which reside a single genomic interval called the Allorecognition Complex (ARC). Using sensitive homology searches and highly accurate structural predictions, we demonstrate that the Alr proteins are members of the immunoglobulin superfamily (IgSF) with V-set and I-set Ig domains unlike any previously identified in animals. Specifically, their primary amino acid sequences lack many of the motifs considered diagnostic for V-set and I-set domains, yet they adopt secondary and tertiary structures nearly identical to canonical Ig domains. Thus, the V-set domain, which played a central role in the evolution of vertebrate adaptive immunity, was present in the last common ancestor of cnidarians and bilaterians. Unexpectedly, several Alr proteins also have immunoreceptor tyrosine-based activation motifs (ITAMs) and immunoreceptor tyrosine-based inhibitory motifs (ITIMs) in their cytoplasmic tails, suggesting they could participate in pathways homologous to those that regulate immunity in humans and flies. This work expands our definition of the IgSF with the addition of a family of unusual members, several of which play a role in invertebrate histocompatibility. <strong>This dataset contains:</strong> <strong>Hsym-236-21-genome-assembly.fa.gz</strong>: A gzip-compressed FASTA-formatted file of the genome assembly generated in the paper. <strong>Alr-domain-structure-predictions.zip:</strong> a zip-compressed file with structural predictions produced with Colabfold for all domains of the Alr proteins described in that manuscript.
DOI: 10.6084/m9.figshare.19762705
title: erpcore-N170.jld2

description: ERPCore N170 preprocessed data in julia JLD2 format
DOI: 10.6084/m9.figshare.19762705.v1
title: erpcore-N170.jld2

description: ERPCore N170 preprocessed data in julia JLD2 format