cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26165/juelich-data/glu9bw
title: Replication Data for: Unexpected significance of a minor reaction pathway in daytime formation of biogenic highly oxygenated organic compounds

description: Quantum chemical data used for the theoretical kinetic data, including geometries and vibrational wavenumbers at the M06-2X-D3/aug-cc-pVTZ level of theory, and energies at methodologies up to CCSD(T)/aug-cc-pVTZ
DOI: 10.6084/m9.figshare.21104650.v1
title: RNA structure-altering mutations underlying positive selection on Spike protein reveal novel putative signatures to trace crossing host-species barriers in <i>Betacoronavirus</i>

description: Similar to other RNA viruses, the emergence of <i>Betacoronavirus</i> relies on cross-species viral transmission, which requires careful health surveillance monitoring of protein-coding information as well as genome-wide analysis. Although the evolutionary jump from natural reservoirs to humans may be mainly traced-back by studying the effect that hotspot mutations have on viral proteins, it is largely unexplored if other impacts might emerge on the structured RNA genome of <i>Betacoronavirus</i>. In this survey, the protein-coding and viral genome architecture were simultaneously studied to uncover novel insights into cross-species horizontal transmission events. We analysed 1,252,952 viral genomes of SARS-CoV, MERS-CoV, and SARS-CoV-2 distributed across the world in bats, intermediate animals, and humans to build a new landscape of changes in the RNA viral genome. Phylogenetic analyses suggest that bat viruses are the most closely related to the time of most recent common ancestor of <i>Betacoronavirus</i>, and missense mutations in viral proteins, mainly in the S protein S1 subunit: SARS-CoV (G &gt; T; A577S); MERS-CoV (C &gt; T; S746R and C &gt; T; N762A); and SARS-CoV-2 (A &gt; G; D614G) appear to have driven viral diversification. We also found that codon sites under positive selection on S protein overlap with non-compensatory mutations that disrupt secondary RNA structures in the RNA genome complement. These findings provide pivotal factors that might be underlying the eventual jumping the species barrier from bats to intermediate hosts. Lastly, we discovered that nearly half of the <i>Betacoronavirus</i> genomes carry highly conserved RNA structures, and more than 90% of these RNA structures show negative selection signals, suggesting essential functions in the biology of <i>Betacoronavirus</i> that have not been investigated to date. Further research is needed on negatively selected RNA structures to scan for emerging functions like the potential of coding virus-derived small RNAs and to develop new candidate antiviral therapeutic strategies.
DOI: 10.34740/kaggle/dsv/4232772
title: Elon Musk Tweets
DOI: 10.34740/kaggle/dsv/4232789
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.21175459
title: replication

description: Individual SPM and VOI files, for the replication sample.
DOI: 10.6084/m9.figshare.21175342
title: discovery

description: Individual SPM and VOI files, for the discovery sample.
DOI: 10.6084/m9.figshare.21175342.v1
title: discovery

description: Individual SPM and VOI files, for the discovery sample.
DOI: 10.5517/ccdc.csd.cc236wv2
title: CCDC 1943044: Experimental Crystal Structure Determination

description: Related Article: Xingxing Ma, Shuilin Deng, Jinchao Liang, Jinglong Chen, Jianke Su, Hua Huang, Qiuling Song|2022|Tetrahedron Chem|3|100026|doi:10.1016/j.tchem.2022.100026
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc23gxwd
title: CCDC 1950764: Experimental Crystal Structure Determination

description: Related Article: Xingxing Ma, Shuilin Deng, Jinchao Liang, Jinglong Chen, Jianke Su, Hua Huang, Qiuling Song|2022|Tetrahedron Chem|3|100026|doi:10.1016/j.tchem.2022.100026
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc25r6fl
title: CCDC 2018299: Experimental Crystal Structure Determination

description: Related Article: Xingxing Ma, Shuilin Deng, Jinchao Liang, Jinglong Chen, Jianke Su, Hua Huang, Qiuling Song|2022|Tetrahedron Chem|3|100026|doi:10.1016/j.tchem.2022.100026
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc25r6lr
title: CCDC 2018304: Experimental Crystal Structure Determination

description: Related Article: Xingxing Ma, Shuilin Deng, Jinchao Liang, Jinglong Chen, Jianke Su, Hua Huang, Qiuling Song|2022|Tetrahedron Chem|3|100026|doi:10.1016/j.tchem.2022.100026
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc25xm2t
title: CCDC 2023496: Experimental Crystal Structure Determination

description: Related Article: Xingxing Ma, Shuilin Deng, Jinchao Liang, Jinglong Chen, Jianke Su, Hua Huang, Qiuling Song|2022|Tetrahedron Chem|3|100026|doi:10.1016/j.tchem.2022.100026
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc25xm4w
title: CCDC 2023498: Experimental Crystal Structure Determination

description: Related Article: Xingxing Ma, Shuilin Deng, Jinchao Liang, Jinglong Chen, Jianke Su, Hua Huang, Qiuling Song|2022|Tetrahedron Chem|3|100026|doi:10.1016/j.tchem.2022.100026
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25810/5dxz-xm93.53
title: Latin American Newspaper Coverage of Climate Change or Global Warming, 2005-2022 - August 2022

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5281/zenodo.7098321
title: Data : Planktic-benthic foraminifera ratio (%P) as a tool for the reconstruction of paleobathymetry and geohazard: A case study from Taiwan

description: Details of the core sites used in this study, gear used for recovery, sediment horizon analyzed, coordinates, water depth and foraminiferal data for the size fractions of &gt;125 µm and &gt;63 µm (only a subset of all the sites). Study sites are divided into East Taiwan that comprises the Southern Okinawa Trough (1), Nanao-Hoping-Hateruma Basins (2), and Taitung-Hualien (3). The area of West Taiwan is consisted of the Gaoping (4), Changchun sand Ridge (5), and Henghun Ridge (6) sectors. Gear for recovery are Box core (BC); Gravity core (GC) and Grab (G). Italic numbers in TOC column (in red) are average values, italic numbers in the Laboratory column show the laboratory where the TOC and C/N were analysed, namely Geosciences-NTU (1) , Institute of Oceanography-NTU (2) and National Sun-yat sen University (3). NaN= no available data.
DOI: 10.5281/zenodo.7098320
title: Data : Planktic-benthic foraminifera ratio (%P) as a tool for the reconstruction of paleobathymetry and geohazard: A case study from Taiwan

description: Details of the core sites used in this study, gear used for recovery, sediment horizon analyzed, coordinates, water depth and foraminiferal data for the size fractions of &gt;125 µm and &gt;63 µm (only a subset of all the sites). Study sites are divided into East Taiwan that comprises the Southern Okinawa Trough (1), Nanao-Hoping-Hateruma Basins (2), and Taitung-Hualien (3). The area of West Taiwan is consisted of the Gaoping (4), Changchun sand Ridge (5), and Henghun Ridge (6) sectors. Gear for recovery are Box core (BC); Gravity core (GC) and Grab (G). Italic numbers in TOC column (in red) are average values, italic numbers in the Laboratory column show the laboratory where the TOC and C/N were analysed, namely Geosciences-NTU (1) , Institute of Oceanography-NTU (2) and National Sun-yat sen University (3). NaN= no available data.
DOI: 10.5281/zenodo.7099984
title: Subset of 300 out of 3000 Prepared Sentinel 2 Scenes for Transfer Learning and Super-sampling.

description: This dataset contains a random subset of 300 out of 3000 Sentinel 2 scenes prepared for Transfer Learning and Super-sampling. It comes in the form of zipped NumPy arrays in the npz format. The files have are named in the following fashion: latutide+latitude_decimals_longitude+longitude_decimals_month_of_the_year_for_mosaic. Each file contains: bands.npy: The Sentinel 2 bands in 10m resolution uint10: B02, B03, B04, B08, B05, B06, B07, B8A, B11, B12. The 20m bands have been resampled using bilinear resampling. nir.npy: B08 Resampled to 20m using average resampling and then resampled to 10m using bilinear. Useful for training super-sampling models. scl.npy: The Sentinel 2 Scene Classification file. Contains information on cloud cover and land cover. sincos.npy: Contains the latitude, longitude, and time of capture for each pixel encoded to sine and cosine waves in the [0,1] interval. The is useful when training a model to predict where on the globe an image was captured. The images can be processed to patches using the buteo toolbox: `pip install buteo --upgrade `import buteo as beo` `beo.get_patches(beo.raster_to_array("path_to_bands"))`
DOI: 10.5281/zenodo.7099983
title: Subset of 300 out of 3000 Prepared Sentinel 2 Scenes for Transfer Learning and Super-sampling.

description: This dataset contains a random subset of 300 out of 3000 Sentinel 2 scenes prepared for Transfer Learning and Super-sampling. It comes in the form of zipped NumPy arrays in the npz format. The files have are named in the following fashion: latutide+latitude_decimals_longitude+longitude_decimals_month_of_the_year_for_mosaic. Each file contains: bands.npy: The Sentinel 2 bands in 10m resolution uint10: B02, B03, B04, B08, B05, B06, B07, B8A, B11, B12. The 20m bands have been resampled using bilinear resampling. nir.npy: B08 Resampled to 20m using average resampling and then resampled to 10m using bilinear. Useful for training super-sampling models. scl.npy: The Sentinel 2 Scene Classification file. Contains information on cloud cover and land cover. sincos.npy: Contains the latitude, longitude, and time of capture for each pixel encoded to sine and cosine waves in the [0,1] interval. The is useful when training a model to predict where on the globe an image was captured. The images can be processed to patches using the buteo toolbox: `pip install buteo --upgrade `import buteo as beo` `beo.get_patches(beo.raster_to_array("path_to_bands"))`
DOI: 10.6084/m9.figshare.21164392
title: IJGIS_Irma_CodesAndData.zip

description: Source code and data
DOI: 10.6084/m9.figshare.21164392.v2
title: IJGIS_Irma_CodesAndData.zip

description: Source code and data
DOI: 10.6084/m9.figshare.21164392.v1
title: IJGIS_Irma_CodesAndData.zip

description: Source code and data
DOI: 10.17638/datacat.liverpool.ac.uk/1812
title: Interrelation of CdTe grain size, post-growth processing and window layer selection on solar cell performance

description: JV, EQE, CV and XRD datasets for CdTe thin film solar cells deposited onto CdS, SnO2 and CdSe coated substrates at varied growth pressures.
DOI: 10.6084/m9.figshare.21177925
title: CodesAndData.zip

description: Source codes and data
DOI: 10.6084/m9.figshare.21177925.v1
title: CodesAndData.zip

description: Source codes and data
DOI: 10.25810/8pez-h060.31
title: Asian Newspaper Coverage of Climate Change or Global Warming, 2004-2022 - July 2022

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.48366/r217545
title: Comparison of Water Domain Ontologies

description: It is a challenging task to find the water related ontologies at one place as recent studies are primarily focused on water resources management by developing different water ontologies but no one has presented a literature review to provide all information of existing ontologies .
DOI: 10.5287/bodleian:bpyzgx45b
title: DATASET Comparative and Integrated Analysis of Plasma Extracellular Vesicles Isolation Methods in Healthy Volunteers and Patients Following Myocardial Infarction - Healthy Volunteer Dataset used for Integrated Analysis
DOI: 10.5281/zenodo.7101420
title: Predicting biophysical characteristics of proteins from their amino acid sequence

description: As part of the Galaxy Training Material, this is the tutorial workflow's input file in FASTA format. It contains the amino acid sequence of protein P04156 ("PRIO_HUMAN OS=Homo sapiens OX=9606 GN=PRNP PE=1 SV=1").
DOI: 10.5281/zenodo.7101419
title: Predicting biophysical characteristics of proteins from their amino acid sequence

description: As part of the Galaxy Training Material, this is the tutorial workflow's input file in FASTA format. It contains the amino acid sequence of protein P04156 ("PRIO_HUMAN OS=Homo sapiens OX=9606 GN=PRNP PE=1 SV=1").
DOI: 10.5281/zenodo.7101426
title: Post COVID-19 Condition among healthcare workers in Four African Countries

description: Dataset
DOI: 10.5281/zenodo.7101425
title: Post COVID-19 Condition among healthcare workers in Four African Countries

description: Dataset
DOI: 10.25810/8pez-h060.32
title: Asian Newspaper Coverage of Climate Change or Global Warming, 2004-2022 - August 2022

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.25810/rxtv-eb29.53
title: German Newspaper Coverage of Climate Change or Global Warming, 2004-2022 - August 2022

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6084/m9.figshare.14546054
title: Human health risk–benefit assessment of fish and other seafood: a scoping review

description: Fish and other seafood are important sources of nutrients, but they are also sources of chemical contaminants that may cause adverse health effects. This article aimed to identify existing risk–benefit assessments (RBA) of fish, shellfish, and other seafood, compare methodologies, discuss differences and commonalities in findings, and identify limitations and ways forward for future studies. We conducted a scoping review of the scientific literature of studies in all languages published from 2000 through April 2019. We identified 106 RBA of fish and other seafood across Europe, Asia, North America, Africa, and at the global level. Studies were heterogeneous in terms of types of fish and other seafood considered, beneficial and adverse compounds assessed, and overall methodology. Collected data showed that a diet consisting of a variety of lean and fatty fish and other seafood is recommended for the overall population and that women of childbearing age and children should limit the consumption of fish and other seafood types that have a high likelihood of contamination. Our review emphasizes the need for evidence-based, up-to-date, and harmonized approaches in RBA in general.
DOI: 10.6084/m9.figshare.14497937
title: The effect of brown rice compared to white rice on adiposity indices, lipid profile, and glycemic markers: a systematic review and meta-analysis of randomized controlled trials

description: A few randomized controlled trials (RCTs) have assessed the effect of brown rice consumption on metabolic parameters compared to white rice, with inconsistent findings. Therefore, the present systematic review and meta-analysis was designed to evaluate the effect of brown rice on adiposity indices, lipid profile, and glycemic markers in adult subjects compared to white rice. In this study, PubMed/Medline, Scopus, Web of Sciences, and Embase databases were comprehensively searched until March 2021. Thirteen RCTs were selected and then included in the meta-analysis. As reported, brown rice significantly reduced weight by −1.63 kg (95% CI: −2.15 to −1.11, <i>I<sup>2</sup></i>=97%, n = 6), body mass index (BMI) by −0.58 kg/m<sup>2</sup> (95% CI: −0.78 to −0.37, <i>I<sup>2</sup></i>=96%, n = 6), and waist circumference by −2.56 cm (95% CI: −4.86 to −0.26, <i>I<sup>2</sup></i>=88%, n = 5) compared with white rice. Moreover, it had no significant effect on lipid profile and glycemic markers. Besides, pre-germinated brown rice significantly declined weight (-1.75 kg, 95% CI: −2.70 to −0.81, <i>I<sup>2</sup></i>=99%, n = 4), total cholesterol (-24.22 mg/dl, 95% CI: −33.03 to −15.41, <i>I<sup>2</sup></i>=78%, n = 5), triglyceride (TG) (-43.28 mg/dl, 95% CI: −74.05 to −12.50, <i>I<sup>2</sup></i>=90%, n = 5), low-density lipoprotein (LDL) (-20.05 mg/dl, 95% CI: −29.57 to −10.52, <i>I<sup>2</sup></i>=71%, n = 5), and fasting blood glucose (FBG) (-15.83 mg/dl, 95% CI: −25.20 to −6.46, <i>I<sup>2</sup></i>=91%, n = 5). In accordance with Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach, the certainly of the included evidence was low and very low. The results of the present study indicate that, brown rice has anti-obesity effects in comparison with white rice; however, it has no beneficial effects on lipid profile and glycemic markers. Contrary to brown rice, it was shown that, pre-germinated brown rice significantly decreases body weight and improves lipid profile and FBG levels compared to white rice. Accordingly, our results indicate that, pre-germinated brown rice has better functional effects on promoting lipid profile and FBG compared to brown rice.
DOI: 10.6084/m9.figshare.14497937.v1
title: The effect of brown rice compared to white rice on adiposity indices, lipid profile, and glycemic markers: a systematic review and meta-analysis of randomized controlled trials

description: A few randomized controlled trials (RCTs) have assessed the effect of brown rice consumption on metabolic parameters compared to white rice, with inconsistent findings. Therefore, the present systematic review and meta-analysis was designed to evaluate the effect of brown rice on adiposity indices, lipid profile, and glycemic markers in adult subjects compared to white rice. In this study, PubMed/Medline, Scopus, Web of Sciences, and Embase databases were comprehensively searched until March 2021. Thirteen RCTs were selected and then included in the meta-analysis. As reported, brown rice significantly reduced weight by −1.63 kg (95% CI: −2.15 to −1.11, <i>I<sup>2</sup></i>=97%, n = 6), body mass index (BMI) by −0.58 kg/m<sup>2</sup> (95% CI: −0.78 to −0.37, <i>I<sup>2</sup></i>=96%, n = 6), and waist circumference by −2.56 cm (95% CI: −4.86 to −0.26, <i>I<sup>2</sup></i>=88%, n = 5) compared with white rice. Moreover, it had no significant effect on lipid profile and glycemic markers. Besides, pre-germinated brown rice significantly declined weight (-1.75 kg, 95% CI: −2.70 to −0.81, <i>I<sup>2</sup></i>=99%, n = 4), total cholesterol (-24.22 mg/dl, 95% CI: −33.03 to −15.41, <i>I<sup>2</sup></i>=78%, n = 5), triglyceride (TG) (-43.28 mg/dl, 95% CI: −74.05 to −12.50, <i>I<sup>2</sup></i>=90%, n = 5), low-density lipoprotein (LDL) (-20.05 mg/dl, 95% CI: −29.57 to −10.52, <i>I<sup>2</sup></i>=71%, n = 5), and fasting blood glucose (FBG) (-15.83 mg/dl, 95% CI: −25.20 to −6.46, <i>I<sup>2</sup></i>=91%, n = 5). In accordance with Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach, the certainly of the included evidence was low and very low. The results of the present study indicate that, brown rice has anti-obesity effects in comparison with white rice; however, it has no beneficial effects on lipid profile and glycemic markers. Contrary to brown rice, it was shown that, pre-germinated brown rice significantly decreases body weight and improves lipid profile and FBG levels compared to white rice. Accordingly, our results indicate that, pre-germinated brown rice has better functional effects on promoting lipid profile and FBG compared to brown rice.
DOI: 10.6084/m9.figshare.14546054.v1
title: Human health risk–benefit assessment of fish and other seafood: a scoping review

description: Fish and other seafood are important sources of nutrients, but they are also sources of chemical contaminants that may cause adverse health effects. This article aimed to identify existing risk–benefit assessments (RBA) of fish, shellfish, and other seafood, compare methodologies, discuss differences and commonalities in findings, and identify limitations and ways forward for future studies. We conducted a scoping review of the scientific literature of studies in all languages published from 2000 through April 2019. We identified 106 RBA of fish and other seafood across Europe, Asia, North America, Africa, and at the global level. Studies were heterogeneous in terms of types of fish and other seafood considered, beneficial and adverse compounds assessed, and overall methodology. Collected data showed that a diet consisting of a variety of lean and fatty fish and other seafood is recommended for the overall population and that women of childbearing age and children should limit the consumption of fish and other seafood types that have a high likelihood of contamination. Our review emphasizes the need for evidence-based, up-to-date, and harmonized approaches in RBA in general.
DOI: 10.15129/9ba64ab3-ce67-45d2-84ae-d2e94209713c
title: Data for: "Understanding Radiation Response and Cell Cycle Variation in Brain Tumour Cells using Raman Spectroscopy"

description: A study of Raman spectroscopy as a novel method for assessing the radiation response in glioma (UVW) cells both synchronised and unsynchronised in the cell cycle. The data includes single cell Raman spectroscopy maps, fluorescence activated cell sorting (FACS) analysis and γ-H2AX DNA damage and repair analysis of UVW human glioma cells.