cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24293566
title: Data and photos of pugnose pipefish <i>Bryx dunckeri.</i>

description: Data and photos accompanying the paper: Occurrence of juvenile pugnose pipefish <i>Bryx dunckeri</i> in the Sargasso Sea. Authored by Josefin Sundin, Marko Freese, Lasse Marohn, Tina Blancke, Reinhold Hanel.
DOI: 10.6084/m9.figshare.24293566.v1
title: Data and photos of pugnose pipefish <i>Bryx dunckeri.</i>

description: Data and photos accompanying the paper: Occurrence of juvenile pugnose pipefish <i>Bryx dunckeri</i> in the Sargasso Sea. Authored by Josefin Sundin, Marko Freese, Lasse Marohn, Tina Blancke, Reinhold Hanel.
DOI: 10.25919/12a8-8b63
title: Parkes observations for project P971 semester 2023OCTS_02

description: We propose timing observations of the relativistic pulsar - white-dwarf binary, PSR J1141$-$6545. This unique system offers access to a wide range of physics, from relativistic phenomena through pulsar emission cone studies, to the structure and distribution of interstellar plasma along our line-of-sight. The Parkes Ultra Wide Band Low Frequency (UWL) receiver has opened up the possibility of performing the first-ever studies of its orbital dynamics at high temporal resolution. Our analysis of data obtained to date suggests that the pulsar will precess away from our line-of-sight before 2023. Hence, regular observations are crucial to maximize science outcomes with this source.
DOI: 10.25919/fx2k-7g50
title: Parkes observations for project P1226 semester 2023OCTS_18

description: Fast Radio Bursts(FRBs) are often proposed as useful cosmological probes, however much work is needed to better understand the foreground environment that it propgates through, such as the Galactic ISM and Milky Way Halo. We propose to observe three satellite dwarf spheroidal galaxies of the Milky Way to search for FRBs and pulsars. We plan to take advantage of the new CryoPAF's wide field of view to survey high stellar density dwarf satellite galaxies with substantial angular sizes: Fornax, Sculptor and Sagittarius II. Detections of FRBs and pulsars will allow us to measure the Circumgalactic Medium contribution to FRB dispersion and also the dark matter halos of these dwarf galaxies.
DOI: 10.34740/kaggle/dsv/7293249
title: US counties COVID 19 dataset
DOI: 10.6084/m9.figshare.24910938
title: DATA for study of moderation of relatioonships between dysfunctional sleep and positive and negagtive affecf by sex and profession

description: Data was used in analysis for study of moderation effects of dysfunctional sleep's effects on negative and positive affect by sex and profession
DOI: 10.34740/kaggle/dsv/7293263
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.6084/m9.figshare.24910959
title: Sleep study

description: The research addressess moderation effects of sex and profession on the relationship between dysfunctional sleep and positicve and negative affect
DOI: 10.6084/m9.figshare.24910959.v1
title: Sleep study

description: The research addressess moderation effects of sex and profession on the relationship between dysfunctional sleep and positicve and negative affect
DOI: 10.34740/kaggle/dsv/7293278
title: Billboard
DOI: 10.34740/kaggle/dsv/7293283
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.6084/m9.figshare.24910983
title: Data and R-code for "A new player in the Panamanian fig tree – fig wasp mutualism; a study on the effect of gall midges on Ficus citrifolia"

description: These files contain the data and code for the analysis performed in the context of the publication "A new player in the Panamanian fig tree – fig wasp mutualism; a study on the effect of gall midges on Ficus citrifolia".
DOI: 10.5281/zenodo.10425816
title: Dataset for "Roles of marine biota in the formation of atmospheric bioaerosols, cloud condensation nuclei, and ice-nucleating particles over the North Pacific Ocean, Bering Sea, and Arctic Ocean"

description: Atmospheric and oceanic observations were conducted over the North Pacific Ocean, Bering Sea, and Arctic Ocean during a cruise (MR19-03C) in early autumn of 2019. The dataset includes trace gases, chemical composition, fluorescent particles in the ambient and bioindicators in the surface seawater, observed along the ship track (time stamp and coordinates are included). This dataset is for Kawana et al., "Roles of marine biota in the formation of atmospheric bioaerosols, cloud condensation nuclei, and ice-nucleating particles over the North Pacific Ocean, Bering Sea, and Arctic Ocean", Atmospheric Chemistry and Physics, 2024 (in press).
DOI: 10.5281/zenodo.10425817
title: Dataset for "Roles of marine biota in the formation of atmospheric bioaerosols, cloud condensation nuclei, and ice-nucleating particles over the North Pacific Ocean, Bering Sea, and Arctic Ocean"

description: Atmospheric and oceanic observations were conducted over the North Pacific Ocean, Bering Sea, and Arctic Ocean during a cruise (MR19-03C) in early autumn of 2019. The dataset includes trace gases, chemical composition, fluorescent particles in the ambient and bioindicators in the surface seawater, observed along the ship track (time stamp and coordinates are included). This dataset is for Kawana et al., "Roles of marine biota in the formation of atmospheric bioaerosols, cloud condensation nuclei, and ice-nucleating particles over the North Pacific Ocean, Bering Sea, and Arctic Ocean", Atmospheric Chemistry and Physics, 2024 (in press).
DOI: 10.6084/m9.figshare.24911019
title: Processed data for single-cell RNA sequencing of endothelial cells in regenerative pig heart

description: These are preprocessed data in the manuscript: Nguyen et al<b>. Single-cell RNA sequencing analysis identifies one subpopulation of endothelial cells that proliferates and another that undergoes the endothelial-mesenchymal transition in regenerating pig hearts</b>. <i>Frontiers in Bioengineering and Biotechnology</i>, Tissue Engineering and Regenerative Medicine. 2023. DOI: 10.3389/fbioe.2023.1257669. The data are associated with analytic program in https://github.com/thamnguy/Cardiac-endothelial-cell
DOI: 10.6084/m9.figshare.24911019.v1
title: Processed data for single-cell RNA sequencing of endothelial cells in regenerative pig heart

description: These are preprocessed data in the manuscript: Nguyen et al<b>. Single-cell RNA sequencing analysis identifies one subpopulation of endothelial cells that proliferates and another that undergoes the endothelial-mesenchymal transition in regenerating pig hearts</b>. <i>Frontiers in Bioengineering and Biotechnology</i>, Tissue Engineering and Regenerative Medicine. 2023. DOI: 10.3389/fbioe.2023.1257669. The data are associated with analytic program in https://github.com/thamnguy/Cardiac-endothelial-cell
DOI: 10.5066/p9dsrczj
title: U.S. Geological Survey National Produced Waters Geochemical Database (ver. 3.0, December 2023)

description: During hydrocarbon production, water is typically co-produced from the geologic formations producing oil and gas. Understanding the composition of these produced waters is important to help investigate the regional hydrogeology, the source of the water, the efficacy of water treatment and disposal plans, potential economic benefits of mineral commodities in the fluids, and the safety of potential sources of drinking or agricultural water. In addition to waters co-produced with hydrocarbons, geothermal development or exploration brings deep formation waters to the surface for possible sampling. This U.S. Geological Survey (USGS) Produced Waters Geochemical Database, which contains geochemical and other information for produced water and other deep formation water samples of the United States, is an updated version of the 2.3 USGS Produced Waters Database (Blondes and others, 2019).

Version 2.3 of this database can be accessed at: https://www.sciencebase.gov/catalog/item/59d25d63e4b05fe04cc235f9
DOI: 10.34740/kaggle/dsv/5440550
title: Brazilian E-Commerce Dashboard(POWER BI)
DOI: 10.25919/kxsj-q669
title: Parkes observations for project P1172 semester 2023OCTS_05

description: PSR J1713+0747 is a very important millisecond pulsar for global pulsar timing array campaigns, due to its long-term observation history, very stable and narrow profile and strong S/N. In April 2021, the pulsar experienced a significant event related to a change in its magnetosphere, presented as an observable change in the pulsar profile. Since then, the pulsar has been slowly recovering and we wish to observe this recovery with high-cadence observations to allow us to create a detailed time-resolved series of variations in the MSPs profile, polarisation, and other properties. Under this proposal, we wish to probe the profile recovery on weekly timescales (once per week per month), revealing additional short timescale behaviours, indicative of changes in the magnetosphere which are not available to other telescopes in the world, thanks to the Parkes UWL. This will also allow us to determine if the magnetosphere has returned to its original configuration or is settling into a new one. Understanding the recovery of this event is key for demonstrating that such pulsars are still viable clocks for use in gravitational wave studies, and in turn, provide us with new data on how the normally stable magnetosphere of this millisecond pulsar responds to an impulsive change in state.
DOI: 10.5066/p91wxsnd
title: Pilot Study of Per- and Polyfluoroalkyl Substances (PFAS) Infiltration to Shallow Groundwater Through Selected Soils in New Hampshire, 2023

description: In a study conducted by the U.S. Geological Survey (USGS) and the New Hampshire Department of Environmental Services, detectable concentrations of per- and polyfluoroalkyl substances (PFAS) were found in the soil at every site despite targeting locations with no known PFAS sources (Santangelo and others, 2022). The widespread distribution of PFAS concentrations in New Hampshire has since sparked critical interest into understanding whether recharge to groundwater contains significant concentrations of PFAS after infiltration through soils. To address this concern, the USGS implemented a pilot study designed to evaluate whether PFAS infiltrate through shallow soil into shallow groundwater. Five sites were selected based on previously observed PFAS concentrations, soil type, aquifer materials, elevation, groundwater depth, and geographic location (Santangelo and others, 2022). At each sample site, one pushpoint sampler was installed down-slope of new soil sample points. At one sample site, two stainless steel lysimeters were installed at two varying depths above the water table, and up-slope of the pushpoint sampler. Seven shallow soil samples were submitted for PFAS, total organic carbon, and pH analysis. Twelve groundwater samples and four porewater samples were also submitted for PFAS analysis. Quality-control samples consisted of a source solution blank, three equipment blanks, and five sample duplicates.
Reference:
Santangelo, L.M., Tokranov, A.K., Welch, S.M., Schlosser, K.E.A., Marts, J.M., Drouin, A.F., Ayotte, J.D., Rousseau, A.E., and Harfmann, J.L., 2022, Statewide survey of shallow soil concentrations of per- and polyfluoroalkyl substances (PFAS) and related chemical and physical data across New Hampshire, 2021: U.S. Geological Survey data release, https://doi.org/10.5066/P9KG38B5.
DOI: 10.34740/kaggle/dsv/7293453
title: Public Opinion Russia Ukraine War (Updated Daily)
DOI: 10.6084/m9.figshare.21579028
title: The relationship between motor performance and executive functioning in early childhood: A systematic review on motor demands embedded within executive function tasks

description: This systematic review examined to what extent response demands of executive functioning (EF) tasks influence the relationship between motor performance and EF in 2- to 6-year-old typically developing (TD) children and children with motor coordination difficulties (MCD). Eighteen of the included articles focused on TD children only and three also on children with MCD. EF tasks were subdivided based on the type of responses (i.e., motor or verbal). EF tasks requiring a motor response were subdivided into two levels (i.e., complex or simple). Results showed that the relationship between motor performance and EF in 2- to 6-year-old TD children and children with MCD was inconclusive with the strength of correlation coefficients for the most part varying from very weak to moderate. The type of EF task response did not influence the relationship between motor performance and EF. The review thus implies that other task demands than the type of EF task response need to be investigated to explain the inconsistent relationship between motor performance and EF, such as the complexity of the motor response of EF tasks, the complexity of the actual motor tasks, and additional processes (e.g., memory, intelligence, language comprehension).
DOI: 10.6084/m9.figshare.21579028.v1
title: The relationship between motor performance and executive functioning in early childhood: A systematic review on motor demands embedded within executive function tasks

description: This systematic review examined to what extent response demands of executive functioning (EF) tasks influence the relationship between motor performance and EF in 2- to 6-year-old typically developing (TD) children and children with motor coordination difficulties (MCD). Eighteen of the included articles focused on TD children only and three also on children with MCD. EF tasks were subdivided based on the type of responses (i.e., motor or verbal). EF tasks requiring a motor response were subdivided into two levels (i.e., complex or simple). Results showed that the relationship between motor performance and EF in 2- to 6-year-old TD children and children with MCD was inconclusive with the strength of correlation coefficients for the most part varying from very weak to moderate. The type of EF task response did not influence the relationship between motor performance and EF. The review thus implies that other task demands than the type of EF task response need to be investigated to explain the inconsistent relationship between motor performance and EF, such as the complexity of the motor response of EF tasks, the complexity of the actual motor tasks, and additional processes (e.g., memory, intelligence, language comprehension).
DOI: 10.5519/qd.lz445ay9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.c7pdr4wa
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (57 records)
DOI: 10.34740/kaggle/dsv/7293498
title: Brazilian E-Commerce Dashboard(POWER BI)
DOI: 10.34740/kaggle/dsv/7293522
title: Brazilian E-Commerce Dashboard(POWER BI)
DOI: 10.5281/zenodo.10436058
title: Efficient Drug-Target Interactions Prediction Framework via Transferable Knowledge Fusing

description: Drug-target integrations (DTI) prediction is a niche in drug discovery, streamlining the search for potential drugs. Computer-aided drug discovery (CADD) has gained traction for its precise predictions, efficiency, and adaptability across various situations. Yet, the computational demands of current top CADD models hinder their practical use due to heavy resource needs.

In this research, we introduce TransFusE DTI, an effective framework for predicting DTIs that leverages pre-trained knowledge to construct models that optimize predictive accuracy while minimizing computational demands. The encoder uses a pre-extracted embedding vector from ProtBERT to reduce computational load and adapts a smaller ProtBERT model. It also includes target-related functional text to boost predictive accuracy. We evaluate the performance of TransFusE DTI using three widely-recognized benchmark datasets: BIOSNAP, DAVIS, and BindingDB, and compare its results to prior studies.

Our results demonstrate that TransFusE DTI exhibits superior predictive performance on the BIOSNAP and BindingDB datasets. Notably, the model's parameter count is only 60% of that of the previous top-performing model by Kang et al. (2022), and it operates efficiently with a learning rate of 26%. Furthermore, the model's video memory requirement is 11.2 GB, rendering it suitable for use on general-purpose Graphics Processing Units (GPUs).
DOI: 10.5281/zenodo.10436059
title: Efficient Drug-Target Interactions Prediction Framework via Transferable Knowledge Fusing

description: Drug-target integrations (DTI) prediction is a niche in drug discovery, streamlining the search for potential drugs. Computer-aided drug discovery (CADD) has gained traction for its precise predictions, efficiency, and adaptability across various situations. Yet, the computational demands of current top CADD models hinder their practical use due to heavy resource needs.

In this research, we introduce TransFusE DTI, an effective framework for predicting DTIs that leverages pre-trained knowledge to construct models that optimize predictive accuracy while minimizing computational demands. The encoder uses a pre-extracted embedding vector from ProtBERT to reduce computational load and adapts a smaller ProtBERT model. It also includes target-related functional text to boost predictive accuracy. We evaluate the performance of TransFusE DTI using three widely-recognized benchmark datasets: BIOSNAP, DAVIS, and BindingDB, and compare its results to prior studies.

Our results demonstrate that TransFusE DTI exhibits superior predictive performance on the BIOSNAP and BindingDB datasets. Notably, the model's parameter count is only 60% of that of the previous top-performing model by Kang et al. (2022), and it operates efficiently with a learning rate of 26%. Furthermore, the model's video memory requirement is 11.2 GB, rendering it suitable for use on general-purpose Graphics Processing Units (GPUs).
DOI: 10.34740/kaggle/dsv/7293619
title: BBC News
DOI: 10.17909/474x-t972
title: TOI-4201_TESS
DOI: 10.48577/jpl.h7jg2x
title: The Initial Mass Function Based on the Full-sky 20-pc Census of ~3,600 Stars and Brown Dwarfs

description: The Initial Mass Function Based on the Full-sky 20-pc Census of ~3,600 Stars and Brown Dwarfs
DOI: 10.17608/k6.auckland.24911157
title: <i>Zaied et al.</i> supplementary data 1 - 10

description: Supplementary Data 1. STRING protein-protein interaction network in lung.Supplementary Data 2. PROPER protein-protein interaction network in lung.Supplementary Data 3. STRING protein-protein interaction network in whole blood.Supplementary Data 4. PROPER protein-protein interaction network in whole blood.Supplementary Data 5. Genes causal for asthma in the lung GRN identified using Mendelian randomisation (Wald ratio method).Supplementary Data 6. Genes causal for asthma in the Blood GRN identified using Mendelian randomisation (Wald ratio method and inverse variance weighted).Supplementary Data 7. significantly enriched (hypergeometric test, FDR≤0.05 and 500 sets of Monte Carlo simulations) asthma-trait interactions.Supplementary Data 8. curated gene-disease associations from DisGeNet for the identified level 0-4 genes (hypergeometric test, FDR≤0.05).Supplementary Data 9. Comorbidity analysis using health records of 2051661 hospitalized patients, 26781 of which had asthma (ICD10-AM code J459).Supplementary Data 10. list of level 0-4 genes (hypergeometric test, FDR≤0.05 and 500 sets of Monte Carlo simulation) that are part of the druggable genome and/or have known drug targets and/or have been causally associated with asthma through Mendelian Randomization.
DOI: 10.17608/k6.auckland.24911157.v1
title: <i>Zaied et al.</i> supplementary data 1 - 10

description: Supplementary Data 1. STRING protein-protein interaction network in lung.Supplementary Data 2. PROPER protein-protein interaction network in lung.Supplementary Data 3. STRING protein-protein interaction network in whole blood.Supplementary Data 4. PROPER protein-protein interaction network in whole blood.Supplementary Data 5. Genes causal for asthma in the lung GRN identified using Mendelian randomisation (Wald ratio method).Supplementary Data 6. Genes causal for asthma in the Blood GRN identified using Mendelian randomisation (Wald ratio method and inverse variance weighted).Supplementary Data 7. significantly enriched (hypergeometric test, FDR≤0.05 and 500 sets of Monte Carlo simulations) asthma-trait interactions.Supplementary Data 8. curated gene-disease associations from DisGeNet for the identified level 0-4 genes (hypergeometric test, FDR≤0.05).Supplementary Data 9. Comorbidity analysis using health records of 2051661 hospitalized patients, 26781 of which had asthma (ICD10-AM code J459).Supplementary Data 10. list of level 0-4 genes (hypergeometric test, FDR≤0.05 and 500 sets of Monte Carlo simulation) that are part of the druggable genome and/or have known drug targets and/or have been causally associated with asthma through Mendelian Randomization.
DOI: 10.34740/kaggle/dsv/7293814
title: WallStreetBets 2022
DOI: 10.6084/m9.figshare.19129793
title: <b>Analysis of formulations of Red Palm Oil (Elaeis guineensis), Koja Bay Leaves (Murraya koenigii L Spreng), and Passion Fruit Seeds (Passiflora edulis f. edulis Sims) on anti-hyperlipidemia and antioxidant activity on Sprague-Dawley rats</b>

description: Background: Local wisdom food ingredients in North Sumatra, Indonesia are a source of phenolics which have antioxidant and anti-inflammatory properties. Objective: This study aims to analyze the combination of red palm oil (Elaeis guineensis), koja bay leaves (Murraya koenigii L Spreng), and passion fruit seeds (Passiflora edulis f. edulis Sims) to improve the lipid and antioxidant profile of Sprague-Dawley rats Methods: This research was an in vitro and in vivo test, starting with analyzing flavonoid of the three compounds, then tested by giving it to mice for 14 days and ending with induction administration of lipopolysaccharide (LPS) for two days. This clinical trial research on animals involved 36 mice divided into 6 groups. At the end of the study, termination and examination of malondialdehyde, lipid profile, glucose and histopathological examination were carried out. Results: The results of the study showed that there were significant differences in body weight, LDL levels, and LDL/HDL ratio in each group of mice, especially in the group given the three ingredient formulations. There was a significant increase in body weight, especially in the group of mice given LPS and the group with high calories-fat-protein compared to the group given the intervention formulation of the three ingredients. The group given the formulation of these three ingredients showed differences in the formulation group with a dose of 300mg/kg body weight (p&lt;0.001). There were no visible changes in the histopathological picture. Conclusion: The atherosclerosis process can be prevented by administering a formulation of red palm oil (Elaeis guineensis), koja bay leaves (Murraya koenigii L Spreng), and passion fruit seeds (Passiflora edulis f. edulis Sims), a significant reduction, especially in LDL levels and the LDL/HDL ratio . The dose that has shown changes is at a dose of 300mg/kg body weight.