cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7092836
title: Handouts - Ten Lectures on Language, Cognition, and Language Acquisition

description: In her Beijing lectures, Melissa Bowerman presents a lucid introduction and account of her research on a range of topics: how children acquire the semantics of spatial terms, how they construct categories and acquire the semantics of nouns, and how they master the semantics of verbs in early language acquisition. Bowerman also covers the learning of argument structure and expressions of end-state, with special attention to the adult speech that guides children, and hence also the role of typology in acquisition; how cross-linguistic variation affects, for example, how speakers represent ‘cutting’ and ‘breaking’ in different languages, and the relation of the Whorfian Hypothesis to cross-linguistic variations in the semantics of languages. Bowerman’s over-riding concern throughout is with how children come to master the first language being spoken to them by their parents and caregivers.
DOI: 10.6084/m9.figshare.7092824
title: Supplementary material for the paper "Comparison of stochastic and machine learning methods for multi-step ahead forecasting of hydrological processes"

description: This dataset serves as supplementary material to the fully reproducible paper entitled "Comparison of stochastic and machine learning methods for multi-step ahead forecasting of hydrological processes". We provide the R codes and their outcomes. We also provide the reports entitled “Definitions of the stochastic processes’’, “Definitions of the forecast quality metrics’’ and “Selected figures for the qualitative comparison of the forecasting methods’’. The former version of this dataset is available in the provided link.
DOI: 10.6084/m9.figshare.7092836.v2
title: Handouts - Ten Lectures on Language, Cognition, and Language Acquisition

description: In her Beijing lectures, Melissa Bowerman presents a lucid introduction and account of her research on a range of topics: how children acquire the semantics of spatial terms, how they construct categories and acquire the semantics of nouns, and how they master the semantics of verbs in early language acquisition. Bowerman also covers the learning of argument structure and expressions of end-state, with special attention to the adult speech that guides children, and hence also the role of typology in acquisition; how cross-linguistic variation affects, for example, how speakers represent ‘cutting’ and ‘breaking’ in different languages, and the relation of the Whorfian Hypothesis to cross-linguistic variations in the semantics of languages. Bowerman’s over-riding concern throughout is with how children come to master the first language being spoken to them by their parents and caregivers.
DOI: 10.6084/m9.figshare.7092836.v1
title: Handouts - Ten Lectures on Language, Cognition, and Language Acquisition

description: In her Beijing lectures, Melissa Bowerman presents a lucid introduction and account of her research on a range of topics: how children acquire the semantics of spatial terms, how they construct categories and acquire the semantics of nouns, and how they master the semantics of verbs in early language acquisition. Bowerman also covers the learning of argument structure and expressions of end-state, with special attention to the adult speech that guides children, and hence also the role of typology in acquisition; how cross-linguistic variation affects, for example, how speakers represent ‘cutting’ and ‘breaking’ in different languages, and the relation of the Whorfian Hypothesis to cross-linguistic variations in the semantics of languages. Bowerman’s over-riding concern throughout is with how children come to master the first language being spoken to them by their parents and caregivers.
DOI: 10.6084/m9.figshare.7092809
title: Supp_Endocrinology.zip

description: Supplemental data for Endocrinology submission "Prenatal Bisphenol A Exposure in Mice Induces Multi-tissue Multi-omics Disruptions Linking to Cardiometabolic Disorders"
DOI: 10.6084/m9.figshare.7092809.v1
title: Supp_Endocrinology.zip

description: Supplemental data for Endocrinology submission "Prenatal Bisphenol A Exposure in Mice Induces Multi-tissue Multi-omics Disruptions Linking to Cardiometabolic Disorders"
DOI: 10.6084/m9.figshare.7092734
title: Additional file 6: of Phage spanins: diversity, topological dynamics and gene convergence

description: Table S5. A table showing (a) number of periplasmic cysteines in 2CS (b) position analysis of cysteines in periplasmic domain of the entire spanin complex (c) position analysis of cysteines in periplasmic domain of i-spanins (d) position analysis of cysteines in periplasmic domain of o-spanins (e) position analysis of cysteines in periplasmic domain of the entire spanin complex for 2CS with only one periplasmic cysteine in either i- or o-spanin. (XLSX 656 kb)
DOI: 10.6084/m9.figshare.7092734.v1
title: Additional file 6: of Phage spanins: diversity, topological dynamics and gene convergence

description: Table S5. A table showing (a) number of periplasmic cysteines in 2CS (b) position analysis of cysteines in periplasmic domain of the entire spanin complex (c) position analysis of cysteines in periplasmic domain of i-spanins (d) position analysis of cysteines in periplasmic domain of o-spanins (e) position analysis of cysteines in periplasmic domain of the entire spanin complex for 2CS with only one periplasmic cysteine in either i- or o-spanin. (XLSX 656 kb)
DOI: 10.6084/m9.figshare.7092728
title: Additional file 5: of Phage spanins: diversity, topological dynamics and gene convergence

description: Table S4. A table showing different information about gene arrangement of o-spanin with respect to i-spanin for the embedded, overlapped and separated spanins. (XLSX 124 kb)
DOI: 10.6084/m9.figshare.7092728.v1
title: Additional file 5: of Phage spanins: diversity, topological dynamics and gene convergence

description: Table S4. A table showing different information about gene arrangement of o-spanin with respect to i-spanin for the embedded, overlapped and separated spanins. (XLSX 124 kb)
DOI: 10.6084/m9.figshare.7092722
title: Additional file 4: of Phage spanins: diversity, topological dynamics and gene convergence

description: Table S3. A table containing data from coiled-coil predictions from the Pepcoil tool for (a) i-spanins, (b) o-spanins and (c) u-spanins. (XLSX 86 kb)
DOI: 10.6084/m9.figshare.7092722.v1
title: Additional file 4: of Phage spanins: diversity, topological dynamics and gene convergence

description: Table S3. A table containing data from coiled-coil predictions from the Pepcoil tool for (a) i-spanins, (b) o-spanins and (c) u-spanins. (XLSX 86 kb)
DOI: 10.6084/m9.figshare.7092716
title: Additional file 3: of Phage spanins: diversity, topological dynamics and gene convergence

description: Table S2. A table containing data from secondary structure predictions from the Jpred tool for (a) i-spanins, (b) o-spanins and (c) u-spanins. (XLSX 76 kb)
DOI: 10.6084/m9.figshare.7092713
title: Additional file 2: of Phage spanins: diversity, topological dynamics and gene convergence

description: Table S1. A table containing information about (a) two-component spanins (2CS) and (b) unimolecular spanins identified and analyzed in this study. It also serves as the initial basis for a continuously updated SpaninDataBase (SpaninDB) at the Center for Phage Technology website [33]. (XLSX 445 kb)
DOI: 10.6084/m9.figshare.7092713.v1
title: Additional file 2: of Phage spanins: diversity, topological dynamics and gene convergence

description: Table S1. A table containing information about (a) two-component spanins (2CS) and (b) unimolecular spanins identified and analyzed in this study. It also serves as the initial basis for a continuously updated SpaninDataBase (SpaninDB) at the Center for Phage Technology website [33]. (XLSX 445 kb)
DOI: 10.6084/m9.figshare.7092716.v1
title: Additional file 3: of Phage spanins: diversity, topological dynamics and gene convergence

description: Table S2. A table containing data from secondary structure predictions from the Jpred tool for (a) i-spanins, (b) o-spanins and (c) u-spanins. (XLSX 76 kb)
DOI: 10.6084/m9.figshare.7092704
title: Additional file 9: of MetaWRAPâ a flexible pipeline for genome-resolved metagenomic data analysis

description: Taxonomic distribution of reads from water, gut, and soil metagenomes, estimated with the metaWRAP-Kraken module. (HTML 972 kb)
DOI: 10.6084/m9.figshare.7092704.v1
title: Additional file 9: of MetaWRAPâ a flexible pipeline for genome-resolved metagenomic data analysis

description: Taxonomic distribution of reads from water, gut, and soil metagenomes, estimated with the metaWRAP-Kraken module. (HTML 972 kb)
DOI: 10.6084/m9.figshare.7092698
title: Additional file 8: of MetaWRAP—a flexible pipeline for genome-resolved metagenomic data analysis

description: CAMI binning summary table. The number of bins recovered at different quality thresholds (determined with AMBER) from the CAMI challenge with original binning software (metaBAT2, MaxBin2, CONCOCT) and software consolidating the original sets (DAS_Tool, Binning_refiner, metaWRAP). MetaWRAP was run with default parameters. Performance is shown for “unique strain” (ANI 95% to another genome) genomes. (XLSX 39 kb)
DOI: 10.6084/m9.figshare.7092698.v1
title: Additional file 8: of MetaWRAP—a flexible pipeline for genome-resolved metagenomic data analysis

description: CAMI binning summary table. The number of bins recovered at different quality thresholds (determined with AMBER) from the CAMI challenge with original binning software (metaBAT2, MaxBin2, CONCOCT) and software consolidating the original sets (DAS_Tool, Binning_refiner, metaWRAP). MetaWRAP was run with default parameters. Performance is shown for “unique strain” (ANI 95% to another genome) genomes. (XLSX 39 kb)
DOI: 10.6084/m9.figshare.7092683
title: Additional file 5: of MetaWRAPâ a flexible pipeline for genome-resolved metagenomic data analysis

description: Module runtime. The total real runtime of each module of metaWRAP when analyzing three samples from the metaHIT gut metagenomic survey. The modules were tested with default parameters on a Linux x64 server with 24 cores and 100Â GB of RAM. (XLSX 23 kb)
DOI: 10.6084/m9.figshare.7092644
title: Additional file 14: of MetaWRAP—a flexible pipeline for genome-resolved metagenomic data analysis

description: Bin taxonomy. Distribution of the taxonomy among bacterial bins extracted from water, gut, and soil metagenomes using metaWRAP’s Bin_refinement module (-c 50 - x 10). Taxonomy estimated with metaWRAP’s Classify_bins module. (HTML 167 kb)
DOI: 10.6084/m9.figshare.7092644.v1
title: Additional file 14: of MetaWRAP—a flexible pipeline for genome-resolved metagenomic data analysis

description: Bin taxonomy. Distribution of the taxonomy among bacterial bins extracted from water, gut, and soil metagenomes using metaWRAP’s Bin_refinement module (-c 50 - x 10). Taxonomy estimated with metaWRAP’s Classify_bins module. (HTML 167 kb)
DOI: 10.6084/m9.figshare.7092518
title: MOESM2 of Impact of nanoparticle surface functionalization on the protein corona and cellular adhesion, uptake and transport

description: Additional file 2: Table S1. The list of identified PSNPs corona proteins using LC-MS/MS after 10 and/or 30 min incubation in DMEM+.
DOI: 10.6084/m9.figshare.7092518.v1
title: MOESM2 of Impact of nanoparticle surface functionalization on the protein corona and cellular adhesion, uptake and transport

description: Additional file 2: Table S1. The list of identified PSNPs corona proteins using LC-MS/MS after 10 and/or 30 min incubation in DMEM+.
DOI: 10.6084/m9.figshare.7092485
title: Additional file 1: of Clustering the autisms using glutamate synapse protein interaction networks from cortical and hippocampal tissue of seven mouse models

description: Table S1. Sheet 1:Â Log2 fold change (log2FC) matrices from Nâ =â 4 experiments were averaged to generate a single mean log2FC matrix per genotype/tissue type. Cells highlighed in red are ANC-significant, numbers in bold case indicate a fold change greater than 0.25 or less than -0.25. Sheet 2: All hits are sorted by the number of times they appeared as ANC-significant. A red-shaded "1" indicates an ANC-significant hit in a particular model. If a hit was also significant following 5 minutes of glutamate stimulation [32], "yes" is entered into the "Glutamate hit" column.Â (XLSX 46 kb)
DOI: 10.6084/m9.figshare.7092488
title: Additional file 1: of Differential expression of miRNA-146a and miRNA-155 in gastritis induced by Helicobacter pylori infection in paediatric patients, adults, and an animal model

description: Table S1. Expression of miRNA-146a and miRNA-155 in the gastric lesions of children and adults infected with and without H. pylori. miRNA levels were normalized to RNU48 and RNU6 levels. (XLSX 19 kb)
DOI: 10.6084/m9.figshare.7092485.v1
title: Additional file 1: of Clustering the autisms using glutamate synapse protein interaction networks from cortical and hippocampal tissue of seven mouse models

description: Table S1. Sheet 1:Â Log2 fold change (log2FC) matrices from Nâ =â 4 experiments were averaged to generate a single mean log2FC matrix per genotype/tissue type. Cells highlighed in red are ANC-significant, numbers in bold case indicate a fold change greater than 0.25 or less than -0.25. Sheet 2: All hits are sorted by the number of times they appeared as ANC-significant. A red-shaded "1" indicates an ANC-significant hit in a particular model. If a hit was also significant following 5 minutes of glutamate stimulation [32], "yes" is entered into the "Glutamate hit" column.Â (XLSX 46 kb)
DOI: 10.6084/m9.figshare.7092488.v1
title: Additional file 1: of Differential expression of miRNA-146a and miRNA-155 in gastritis induced by Helicobacter pylori infection in paediatric patients, adults, and an animal model

description: Table S1. Expression of miRNA-146a and miRNA-155 in the gastric lesions of children and adults infected with and without H. pylori. miRNA levels were normalized to RNU48 and RNU6 levels. (XLSX 19 kb)
DOI: 10.6084/m9.figshare.7092473
title: MOESM2 of Are the different layers of a social network conveying the same information?

description: Dataset. (TGZ 84Â kB)
DOI: 10.6084/m9.figshare.7092473.v1
title: MOESM2 of Are the different layers of a social network conveying the same information?

description: Dataset. (TGZ 84Â kB)
DOI: 10.6084/m9.figshare.7092437
title: Additional file 1: of Prognostic value of early, conventional proton magnetic resonance spectroscopy in cooled asphyxiated infants

description: Results of Mann-Whitney test for all metabolite ratios. Data are shown as median [IQR], results were considered significant at p
DOI: 10.6084/m9.figshare.7092437.v1
title: Additional file 1: of Prognostic value of early, conventional proton magnetic resonance spectroscopy in cooled asphyxiated infants

description: Results of Mann-Whitney test for all metabolite ratios. Data are shown as median [IQR], results were considered significant at p
DOI: 10.6084/m9.figshare.7092353
title: EA1091_Ratio.xls

description: Gene expression profile change in murine cancer-associated fibroblasts with/without cancer-dervied condition media
DOI: 10.6084/m9.figshare.7092353.v1
title: EA1091_Ratio.xls

description: Gene expression profile change in murine cancer-associated fibroblasts with/without cancer-dervied condition media
DOI: 10.6084/m9.figshare.7092308
title: Hydrogen Treatment as a Detergent of Electronic Trap States in Lead Chalcogenide Nanoparticles

description: Lead chalcogenide (PbX) nanoparticles are promising materials for solar energy conversion. However, the presence of trap states in their electronic gap limits their usability, and developing a universal strategy to remove trap states is a persistent challenge. Using calculations based on density functional theory, we show that hydrogen acts as an amphoteric impurity on PbX nanoparticle surfaces; hydrogen atoms may passivate defects arising from ligand imbalance or off-stoichiometric surface terminations irrespective of whether they originate from cation or anion excess. In addition, we show, using constrained density functional theory calculations, that hydrogen treatment of defective nanoparticles is also beneficial for charge transport in films. We also find that hydrogen adsorption on stoichiometric nanoparticles leads to electronic doping, preferentially n-type. Our findings suggest that postsynthesis hydrogen treatment of lead chalcogenide nanoparticle films is a viable approach to reduce electronic trap states or to dope well-passivated films.
DOI: 10.6084/m9.figshare.7092308.v2
title: Hydrogen Treatment as a Detergent of Electronic Trap States in Lead Chalcogenide Nanoparticles

description: Lead chalcogenide (PbX) nanoparticles are promising materials for solar energy conversion. However, the presence of trap states in their electronic gap limits their usability, and developing a universal strategy to remove trap states is a persistent challenge. Using calculations based on density functional theory, we show that hydrogen acts as an amphoteric impurity on PbX nanoparticle surfaces; hydrogen atoms may passivate defects arising from ligand imbalance or off-stoichiometric surface terminations irrespective of whether they originate from cation or anion excess. In addition, we show, using constrained density functional theory calculations, that hydrogen treatment of defective nanoparticles is also beneficial for charge transport in films. We also find that hydrogen adsorption on stoichiometric nanoparticles leads to electronic doping, preferentially n-type. Our findings suggest that postsynthesis hydrogen treatment of lead chalcogenide nanoparticle films is a viable approach to reduce electronic trap states or to dope well-passivated films.
DOI: 10.6084/m9.figshare.7092272
title: DeepForge: A Scientific Gateway for Deep Learning

description: We introduce DeepForge, a gateway to deep learning for the scientific community. DeepForge is designed to lower the barrier to entry and facilitate the rapid development of deep learning models. Utilizing a cloud-based infrastructure, DeepForge facilitates rapid development by promoting reproducibility, collaboration and remote execution of machine learning pipelines. This represents an interdisciplinary approach to facilitating deep learning development as it leverages the strengths of Model Integrated Computing to provide a powerful hybrid textual-visual programming platform for the scientific community.
DOI: 10.6084/m9.figshare.7092260.v1
title: Spatial data for Sogod Bay, Philippines

description: Spatial data layers on: (1) the administrative boundaries for (a) barangays, (b) municipalities, and (c) municipal waters in the study region in Sogod Bay, Philippines; (2) the distribution of coastal habitats derived from a remote sensing analysis using WorldView-2 images and underwater video transects; and (3) the location of (a) current marine protected areas (MPAs) and (b) prospective MPA sites identified and supported by coastal communities, (c) new MPAs identified through a national-scale and donor-assisted conservation project that utilized local knowledge to select MPAs, and (d) new MPA sites selected through a systematic conservation planning approach that employed the spatial prioritization software ‘Marxan with Zones’ to achieve biodiversity objectives with minimal and equitable costs to fisher stakeholder groups. This dataset was used to investigate alternative planning options for designing a MPA network in Sogod Bay in Southern Leyte province in the Philippines. The study region encompassed the coastal waters of the municipality of Pintuyan, San Francisco, Liloan, Padre Burgos, and Limasawa.
DOI: 10.6084/m9.figshare.7092272.v2
title: DeepForge: A Scientific Gateway for Deep Learning

description: We introduce DeepForge, a gateway to deep learning for the scientific community. DeepForge is designed to lower the barrier to entry and facilitate the rapid development of deep learning models. Utilizing a cloud-based infrastructure, DeepForge facilitates rapid development by promoting reproducibility, collaboration and remote execution of machine learning pipelines. This represents an interdisciplinary approach to facilitating deep learning development as it leverages the strengths of Model Integrated Computing to provide a powerful hybrid textual-visual programming platform for the scientific community.
DOI: 10.6084/m9.figshare.7092260.v2
title: Spatial data for Sogod Bay, Philippines

description: Spatial data layers on: (1) the administrative boundaries for (a) barangays, (b) municipalities, and (c) municipal waters in the study region in Sogod Bay, Philippines; (2) the distribution of coastal habitats derived from a remote sensing analysis using WorldView-2 images and underwater video transects; and (3) the location of (a) current marine protected areas (MPAs) and (b) prospective MPA sites identified and supported by coastal communities, (c) new MPAs identified through a national-scale and donor-assisted conservation project that utilized local knowledge to select MPAs, and (d) new MPA sites selected through a systematic conservation planning approach that employed the spatial prioritization software ‘Marxan with Zones’ to achieve biodiversity objectives with minimal and equitable costs to fisher stakeholder groups. This dataset was used to investigate alternative planning options for designing a MPA network in Sogod Bay in Southern Leyte province in the Philippines. The study region encompassed the coastal waters of the municipality of Pintuyan, San Francisco, Liloan, Padre Burgos, and Limasawa.
DOI: 10.6084/m9.figshare.7092260.v3
title: Spatial data for Sogod Bay, Philippines

description: Spatial data layers on: (1) the administrative boundaries for (a) barangays, (b) municipalities, and (c) municipal waters in the study region in Sogod Bay, Philippines; (2) the distribution of coastal habitats derived from a remote sensing analysis using WorldView-2 images and underwater video transects; and (3) the location of (a) current marine protected areas (MPAs) and (b) prospective MPA sites identified and supported by coastal communities, (c) new MPAs identified through a national-scale and donor-assisted conservation project that utilized local knowledge to select MPAs, and (d) new MPA sites selected through a systematic conservation planning approach that employed the spatial prioritization software ‘Marxan with Zones’ to achieve biodiversity objectives with minimal and equitable costs to fisher stakeholder groups. This dataset was used to investigate alternative planning options for designing a MPA network in Sogod Bay in Southern Leyte province in the Philippines. The study region encompassed the coastal waters of the municipality of Pintuyan, San Francisco, Liloan, Padre Burgos, and Limasawa.
DOI: 10.6084/m9.figshare.7092260.v5
title: Spatial dataset for Sogod Bay

description: Spatial data layers on: (1) the administrative boundaries for (a) barangays, (b) municipalities, and (c) municipal waters in the study region in Sogod Bay, Philippines; (2) the distribution of coastal habitats derived from a remote sensing analysis using WorldView-2 images and underwater video transects; and (3) the location of (a) current marine protected areas (MPAs) and (b) prospective MPA sites identified and supported by coastal communities, (c) new MPAs identified through a national-scale and donor-assisted conservation project that utilized local knowledge to select MPAs, and (d) new MPA sites selected through a systematic conservation planning approach that employed the spatial prioritization software ‘Marxan with Zones’ to achieve biodiversity objectives with minimal and equitable costs to fisher stakeholder groups. This dataset was used to investigate alternative planning options for designing a MPA network in Sogod Bay in Southern Leyte province in the Philippines. The study region encompassed the coastal waters of the municipality of Pintuyan, San Francisco, Liloan, Padre Burgos, and Limasawa.