cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/frvd47f5m8.1
title: A HOMEMAKER LENS ON MEDIA LED VICARIOUS TRAUMATIZATION DURING COVID-19 

description: H1 – There is a relationship between Media Exposure and Anxiety.
H2 – There is a relationship between Media Exposure, Media Vicarious Traumatisation and Anxiety. 
H3 – Age impacts Media Exposure and Media Vicarious Traumatisation.
H4 – Education has an impact on the Media Vicarious Traumatisation and Anxiety.
H5 – There is a relationship between Media Exposure and Media Vicarious Traumatisation.
H6 – There is a relationship between Media Vicarious Traumatisation and Anxiety.
The study examined whether media vicarious traumatization mediates the relationship between media exposure and anxiety. Results indicated that media exposure significantly impacted anxiety, with a stronger effect when media-vicarious traumatization was added as a mediator. The relationship was partially mediated by media vicarious traumatization. Age and education were used as moderators in a SmartPls 4.0 analysis. Results indicate a negative moderation effect of age on the relationship between media exposure and media-vicarious traumatisation (β = -0.311, p < 0.001), and a negative moderation effect of education on the relationship between media-vicarious traumatisation and anxiety (β = -0.09, p < 0.001). Both moderators altered the path coefficients, changing the direction of the relationships.
DOI: 10.17632/bwn9pn6j2c.1
title: The causal effect between psoriasis and male reproductive health, and the mediating effect of serum inflammatory factors and metabolites

description: Supplementary Tables for article
DOI: 10.17632/kxgtk8r5kz.1
title: Data for China-US grain trade shapes the spatial genetic pattern of common ragweed in East China cities

description: Data for China-US grain trade shapes the spatial genetic pattern of common ragweed in East China cities
DOI: 10.17632/8hrf8hsx8d.1
title: Opisthorchis viverrini infection exacerbates kidney disease through gut dysbiosis and alteration of host proteome in nonalcoholic steatohepatitis hamsters

description: Raw data about microbial 16S rRNA analysis used for Illumina Miseq sequencing platform based on the V3–V4 region of the 16S rRNA gene in Opisthorchis viverrini infection exacerbates kidney disease in nonalcoholic steatohepatitis hamsters model. This model used to identified combination of high fat and high fructose diets with Opisthorchis viverrini infection induced gut change in hamster feces. Twenty animals were divided into 4 groups; normal diet fed and non-infected Ov (Normal); HFF diets fed (HFF); Ov infection (Ov) and the last group fed with a combination of HFF diets and infected with Ov (HFFOv). An elevated levels of Ruminococaceae, Lachospiraceae, Desulfovibrionaceae and Akkermansiaceae while decreased level of Eggerthellaceae were seen in a combination treatment. Our finding suggests that combination of HFF diet and Ov infection can promote kidney injury and changes in gut microbiome. This knowledge may be an effective strategy for reducing or slowing down the progression of CKD.
DOI: 10.17632/zpmm72bg6s.1
title: Patterns of ongoing thought in the real world

description: This data was used to examine how thought patterns in the real world relate to the contexts in which they naturally emerge. We determined the prevalence of thought patterns (identified using Principal Component Analysis (PCA)) in a real-world experience sampling cohort. Participants completed multidimensional experience sampling (MDES) surveys eight times daily for five consecutive days. PCA was applied to these data to identify common "patterns of thought". Linear mixed modelling compared the prevalence of each thought pattern across different social, activity, location, and time contexts. We found that participants reported patterns of thought with episodic and social features when they were interacting with people in either a physical or virtual manner, replicating previous results. Furthermore, we discovered associations between four ongoing thought patterns captured by MDES and the everyday activities people were engaged in. Additionally, location predicted detailed task focus thought, especially when inside a workplace. Lastly, time of day was associated with both detailed task focus and episodic social cognition thought patterns. Overall, our study replicated the influence of socializing on patterns of ongoing thought and mapped patterns of thought across real-world contexts, such as social environment, activity, location, and time, as people went about their daily lives. 

For full details of how this data was collected, see Mulholland et al. (2023), Consciousness and Cognition, Patterns of ongoing thought in the real world.
DOI: 10.17632/d6792247k5.1
title: Violet phosphorene nanosheets and cold atmospheric plasma for synergetic cancer therapy

description: Metabolomic raw data
DOI: 10.17632/grsvxxnkvk.1
title: Supplemental Tables S1-S4; Checkpoint Inhibitor Antibody Type Influences the Development of Cutaneous Immune-Related Adverse Events: A Multi-institutional Study

description: Supplemental Tables S1-S4
DOI: 10.15468/d8jnfv
title: State Of The Art Report On Biodiversity In Indian Sundarbans: Fishes Checklist

description: The dynamics of the fish communities of the Sundarbans are poorly understood. Although there are many published works on the fish fauna of different states of India including that of West Bengal, there is no comprehensive account of the fishes recorded from the Sundarbans. However, the works of Talwar et al. (1992); Mukherjee (1995); Das and Nandi (1999); and Gopal and Chauhan (2006) report the fish diversity of the Sundarbans. Compilations of the species listed in these works reveal that 364 species distributed under 215 genera are available in the Sundarbans as against 4,494 genera world over.
DOI: 10.5281/zenodo.8342481
title: seoruosa/instances: master-thesis-2023

description: MMURP instances used on master thesis. Contain instances of states of Brazil: Minas Gerais, Espírito Santo, Maranhão, Roraima, Rio Grande do Sul e Tocantins.
DOI: 10.5281/zenodo.8342480
title: seoruosa/instances: master-thesis-2023

description: MMURP instances used on master thesis. Contain instances of states of Brazil: Minas Gerais, Espírito Santo, Maranhão, Roraima, Rio Grande do Sul e Tocantins.
DOI: 10.5281/zenodo.8341624
title: NAMD Trajectory of a Tetraoleoyl Cardiolipin Bilayer

description: All-atom TOCL (tetraoleoyl cardiolipin) bilayer simulated in NPT ensemble with NAMD and the CHARMM36 force field from Doktorova et al. 2017 Phys. Chem. Chem. Phys. article (DOI 10.1039/c7cp01921a). The trajectory represents the last 155 ns used for analysis where the area per lipid is equilibrated (the file has 7752 frames output every 20 ps). The bilayer has 100 lipids total (50 lipids per leaflet) and is hydrated with 60 waters/lipid and 140mM NaCl. The simulation was done at 30C (303.15K) and the trajectory is centered on the bilayer midplane.
description: Attached files include the structure (.psf and .pdb), trajectory (.dcd) and a copy of the NAMD input file with simulation parameters.
description: {"references": ["Doktorova M, Harries D, and Khelashvili, G. 2017. Determination of bending rigidity and tilt modulus of lipid membranes from real-space fluctuation analysis of molecular dynamics simulations. Phys. Chem. Chem. Phys. 19:16806-16818. DOI: 10.1039/C7CP01921A"]}
DOI: 10.5281/zenodo.8341623
title: NAMD Trajectory of a Tetraoleoyl Cardiolipin Bilayer

description: All-atom TOCL (tetraoleoyl cardiolipin) bilayer simulated in NPT ensemble with NAMD and the CHARMM36 force field from Doktorova et al. 2017 Phys. Chem. Chem. Phys. article (DOI 10.1039/c7cp01921a). The trajectory represents the last 155 ns used for analysis where the area per lipid is equilibrated (the file has 7752 frames output every 20 ps). The bilayer has 100 lipids total (50 lipids per leaflet) and is hydrated with 60 waters/lipid and 140mM NaCl. The simulation was done at 30C (303.15K) and the trajectory is centered on the bilayer midplane.
description: Attached files include the structure (.psf and .pdb), trajectory (.dcd) and a copy of the NAMD input file with simulation parameters.
description: {"references": ["Doktorova M, Harries D, and Khelashvili, G. 2017. Determination of bending rigidity and tilt modulus of lipid membranes from real-space fluctuation analysis of molecular dynamics simulations. Phys. Chem. Chem. Phys. 19:16806-16818. DOI: 10.1039/C7CP01921A"]}
DOI: 10.5281/zenodo.7896310
title: Environmental drivers and distribution of cold-water corals in the global ocean - Habitat Suitability Models

description: <strong>Publication Abstract</strong> Species distribution models (SDMs) are useful tools for identifying the distribution of marine species in data limited environments. Outputs from SDMs have been used to identify areas for spatial management, analyzing trawl closures, quantitatively measuring the risk of bottom trawling, and evaluating protected areas for improving conservation management. Cold-water corals are globally distributed habitat forming organisms that are vulnerable to anthropogenic impacts and climate change, but data deficiency remains an ongoing issue for the effective spatial management of these important ecosystem engineers. In this study, we constructed 11 environmental seabed variables at 500m resolution based on the latest multi-depth global datasets and high-resolution bathymetry. Ensemble modeling methods were used to predict the global habitat suitability for ten widespread cold-water coral species, including six reef Scleractinian framework-forming species and four large gorgonian species. Temperature, depth, salinity, terrain ruggedness index, carbonate saturation state and chlorophyll were the most important factors in determining the global distributions of these species. The Scleractinian species <em>Madrepora oculata</em> showed the widest niche breadth, whilst most other species demonstrated somewhat limited niche breadth. The shallowest study species, <em>Oculina varicosa</em>, had the most distinctive niche of the group. The model outputs from this study represent the highest resolution global predictions for these species to date and are valuable in aiding the management, conservation and continued research into cold-water coral species. <strong>Data description</strong> These datasets (compressed Zip archives) contain the habitat suitability model outputs generated for the publication Tong et al., (2023) doi: 10.3389/fmars.2023.1217851, please refer to the manuscript for methodological details. These files are provided in an ArcGIS compatible TIFF format that is readable by various GIS packages and can be imported to R. AA.zip = <em>Acanella arbuscula</em><br> DP.zip = <em>Desmophyllum pertusum</em> (former and now unaccepted synonym <em>Lophelia pertusa</em>)<br> ER.zip = <em>Enallopsammia rostrata</em><br> GD.zip = <em>Goniocorella dumosa</em><br> MO.zip = <em>Madrepora oculata</em><br> OV.zip = <em>Oculina varicosa</em><br> PA.zip = <em>Paragorgia arborea</em><br> PP.zip = <em>Paramuricea placomus</em><br> PR.zip = <em>Primnoa resedaeformis</em><br> SV.zip = <em>Solenosmilia variabilis</em>
DOI: 10.5281/zenodo.7896309
title: Environmental drivers and distribution of cold-water corals in the global ocean - Habitat Suitability Models

description: <strong>Publication Abstract</strong> Species distribution models (SDMs) are useful tools for identifying the distribution of marine species in data limited environments. Outputs from SDMs have been used to identify areas for spatial management, analyzing trawl closures, quantitatively measuring the risk of bottom trawling, and evaluating protected areas for improving conservation management. Cold-water corals are globally distributed habitat forming organisms that are vulnerable to anthropogenic impacts and climate change, but data deficiency remains an ongoing issue for the effective spatial management of these important ecosystem engineers. In this study, we constructed 11 environmental seabed variables at 500m resolution based on the latest multi-depth global datasets and high-resolution bathymetry. Ensemble modeling methods were used to predict the global habitat suitability for ten widespread cold-water coral species, including six reef Scleractinian framework-forming species and four large gorgonian species. Temperature, depth, salinity, terrain ruggedness index, carbonate saturation state and chlorophyll were the most important factors in determining the global distributions of these species. The Scleractinian species <em>Madrepora oculata</em> showed the widest niche breadth, whilst most other species demonstrated somewhat limited niche breadth. The shallowest study species, <em>Oculina varicosa</em>, had the most distinctive niche of the group. The model outputs from this study represent the highest resolution global predictions for these species to date and are valuable in aiding the management, conservation and continued research into cold-water coral species. <strong>Data description</strong> These datasets (compressed Zip archives) contain the habitat suitability model outputs generated for the publication Tong et al., (2023) doi: 10.3389/fmars.2023.1217851, please refer to the manuscript for methodological details. These files are provided in an ArcGIS compatible TIFF format that is readable by various GIS packages and can be imported to R. AA.zip = <em>Acanella arbuscula</em><br> DP.zip = <em>Desmophyllum pertusum</em> (former and now unaccepted synonym <em>Lophelia pertusa</em>)<br> ER.zip = <em>Enallopsammia rostrata</em><br> GD.zip = <em>Goniocorella dumosa</em><br> MO.zip = <em>Madrepora oculata</em><br> OV.zip = <em>Oculina varicosa</em><br> PA.zip = <em>Paragorgia arborea</em><br> PP.zip = <em>Paramuricea placomus</em><br> PR.zip = <em>Primnoa resedaeformis</em><br> SV.zip = <em>Solenosmilia variabilis</em>
DOI: 10.48577/jpl.9j9jmv
title: Widespread slowdown in thinning rates of West Antarctic Ice Shelves

description: . Antarctica’s floating ice shelves modulate discharge of grounded ice into the ocean by providing a backstress. Ice shelf thinning and grounding line retreat have reduced this backstress, driving rapid drawdown of key unstable areas of the Antarctic Ice Sheet, leading to sea level rise. If ice shelf loss continues, it may initiate irreversible glacier retreat through the marine ice sheet instability. Identification of areas undergoing significant change requires knowledge of spatial and temporal patterns in recent ice shelf loss. We used 26 years (1992—2017) of satellite-derived Antarctic ice shelf thickness, flow and basal melt rates to construct a time-dependent dataset of ice-shelf thickness and basal melt on a 3 km grid every 3 months. We used a novel data fusion approach, state-of-the-art satellite-derived velocities, and a new surface mass balance model. Our data revealed an overall pattern of thinning all around Antarctica, with a thinning slowdown starting around 2008 widespread across the Amundsen, Bellingshausen and Wilkes sectors. We attribute this slowdown partly to modulation in external ocean forcing, altered in West Antarctica by negative feedbacks between ice shelf thinning rates and grounded ice flow, and sub-ice-shelf cavity geometry and basal melting. In agreement with earlier studies, highest rates of ice shelf thinning are found for those ice shelves located in the Amundsen and Bellingshausen sectors. Our study reveals that over the 1992–2017 observational period, Amundsen and Bellingshausen ice shelves experienced a slight reduction in rates of basal melting, suggesting that high rates of thinning are largely a response to changes in ocean conditions that predates our satellite altimetry record, with shorter term variability only resulting in small deviations from the long-term trend. Our work demonstrates that causal inference drawn from ice shelf thinning and basal melt rates must take into account complex feedbacks between thinning and ice advection and between ice shelf draft and basal melt rates.he impact of ice shelf thinning and melting rates on the Antarctic Ice Sheet.
DOI: 10.5281/zenodo.8336590
title: Environmental drivers and distribution of cold-water corals in the global ocean - Environmental Data Layers

description: <strong>Publication Abstract</strong> Species distribution models (SDMs) are useful tools for identifying the distribution of marine species in data limited environments. Outputs from SDMs have been used to identify areas for spatial management, analyzing trawl closures, quantitatively measuring the risk of bottom trawling, and evaluating protected areas for improving conservation management. Cold-water corals are globally distributed habitat forming organisms that are vulnerable to anthropogenic impacts and climate change, but data deficiency remains an ongoing issue for the effective spatial management of these important ecosystem engineers. In this study, we constructed 11 environmental seabed variables at 500m resolution based on the latest multi-depth global datasets and high-resolution bathymetry. Ensemble modeling methods were used to predict the global habitat suitability for ten widespread cold-water coral species, including six reef Scleractinian framework-forming species and four large gorgonian species. Temperature, depth, salinity, terrain ruggedness index, carbonate saturation state and chlorophyll were the most important factors in determining the global distributions of these species. The Scleractinian species <em>Madrepora oculata</em> showed the widest niche breadth, whilst most other species demonstrated somewhat limited niche breadth. The shallowest study species, <em>Oculina varicosa</em>, had the most distinctive niche of the group. The model outputs from this study represent the highest resolution global predictions for these species to date and are valuable in aiding the management, conservation and continued research into cold-water coral species. <strong>Data description</strong> These datasets (compressed Zip archives) contain the ten global environmental layers that were generated for the publication Tong et al., (2023) doi: 10.3389/fmars.2023.1217851, using a trilinear interpolation approach based on the 500m GEBCO bathymetric data product. These layers are representations of seafloor conditions. Please refer to the manuscript for methodological details. These files are provided in an ArcGIS compatible TIFF format that is readable by various GIS packages and can be imported to R. aoxu.zip = Apparrent Oxygen Utilization<br> diso2.zip = Dissolved Oxygen<br> nit.zip = Nitrate<br> oa.zip = Omega Aragonite<br> oc.zip = Omega Calcite<br> ph.zip = pH<br> phos.zip = Phosphate<br> sal.zip = Salinity<br> sil.zip = Silicate<br> temp.zip = Temperature
DOI: 10.48577/jpl.tdzrme
title: The case for future gravity science investigations at Saturn with a planetary orbiter

description: The next phase in the robotic exploration of the Saturnian system will target unresolved questions 6 about the gas giant’s atmosphere, interior, magnetosphere and rings that were left open by investiga7 tions onboard the Cassini mission. Among these, we find gravity science objectives, which relate mainly 8 to explaining the origin of the large wind-induced gravity signal and reconciling existing incongruities 9 regarding the internal density distribution. Here we attempt at identifying which future observations 10 may yield additional information about Saturn’s internal mechanisms. We report on the results of pre11 cise numerical simulations for gravity science experiments carried out with a planetary orbiter 12 and characterized by varying periapsis altitude over the 1-bar planetary surface. The goal 13 is to identify achievable measurement requirements that can advance the current understanding of 14 Saturn’s interior and atmospheric dynamics. We find that inclined, elliptical orbits with low-altitude 15 closest approaches over the northern hemispheres can improve over the present determination 16 of the gravity field coefficients by up to one order of magnitude, provided that at least a dozen 17 pericenters are devoted to gravity science. Furthermore, if these observations are combined 18 with the available Cassini Grand Finale data in the southern hemisphere, a significant 19 improvement in terms of maximum measurable gravity field degree is observed.
DOI: 10.5281/zenodo.8336589
title: Environmental drivers and distribution of cold-water corals in the global ocean - Environmental Data Layers

description: <strong>Publication Abstract</strong> Species distribution models (SDMs) are useful tools for identifying the distribution of marine species in data limited environments. Outputs from SDMs have been used to identify areas for spatial management, analyzing trawl closures, quantitatively measuring the risk of bottom trawling, and evaluating protected areas for improving conservation management. Cold-water corals are globally distributed habitat forming organisms that are vulnerable to anthropogenic impacts and climate change, but data deficiency remains an ongoing issue for the effective spatial management of these important ecosystem engineers. In this study, we constructed 11 environmental seabed variables at 500m resolution based on the latest multi-depth global datasets and high-resolution bathymetry. Ensemble modeling methods were used to predict the global habitat suitability for ten widespread cold-water coral species, including six reef Scleractinian framework-forming species and four large gorgonian species. Temperature, depth, salinity, terrain ruggedness index, carbonate saturation state and chlorophyll were the most important factors in determining the global distributions of these species. The Scleractinian species <em>Madrepora oculata</em> showed the widest niche breadth, whilst most other species demonstrated somewhat limited niche breadth. The shallowest study species, <em>Oculina varicosa</em>, had the most distinctive niche of the group. The model outputs from this study represent the highest resolution global predictions for these species to date and are valuable in aiding the management, conservation and continued research into cold-water coral species. <strong>Data description</strong> These datasets (compressed Zip archives) contain the ten global environmental layers that were generated for the publication Tong et al., (2023) doi: 10.3389/fmars.2023.1217851, using a trilinear interpolation approach based on the 500m GEBCO bathymetric data product. These layers are representations of seafloor conditions. Please refer to the manuscript for methodological details. These files are provided in an ArcGIS compatible TIFF format that is readable by various GIS packages and can be imported to R. aoxu.zip = Apparrent Oxygen Utilization<br> diso2.zip = Dissolved Oxygen<br> nit.zip = Nitrate<br> oa.zip = Omega Aragonite<br> oc.zip = Omega Calcite<br> ph.zip = pH<br> phos.zip = Phosphate<br> sal.zip = Salinity<br> sil.zip = Silicate<br> temp.zip = Temperature
DOI: 10.48577/jpl.0oigne
title: Dynamic Targeting to Improve Earth Science Missions

description: Dynamic Targeting (DT) is an emerging concept in which data from a lookahead instrument is used to intelligently reconfigure and point a primary instrument to enhance science return. For example, in the Smart Ice Hunting Radar (SMICES) a forward-looking radiometer is used to detect deep convective ice storms which are then targeted using a radar. In other concepts, forward-looking sensors are used to detect clouds so that a primary sensor can avoid them. To this end, we have developed several algorithms from Operations Research and Artificial Intelligence/heuristic search to point/reconfigure the dynamic instrument. We present simulation studies of DT for these concepts and benchmark these algorithms to show that DT is a powerful tool with the potential to significantly improve instrument science yield.