cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7416042
title: The SPHINX M-dwarf Spectral Grid. I. Benchmarking New Model Atmospheres to Derive Fundamental M-Dwarf Properties

description: MODEL GRID AND SUPPLEMENTARY FIGURES for <strong>The SPHINX M-dwarf Spectral Grid. I. Benchmarking New Model Atmospheres to Derive Fundamental M-Dwarf Properties: </strong> <strong>(1) MODEL GRID:</strong> Zip file titled 'SPHINX_MODELS_MLT_1.zip' contains a directory (376MB on disk) that is divided into three folders: ATMS, SPECTRA, and ABUNDANCES. All models here assume mixing length parameter of 1. For more info, we direct the reader to the paper. The ATMS directory contains thermal profiles/atmospheres of all models. (Temperature in K, Pressure in bars) The SPECTRA directory contains synthetic spectra. (Wavelength--0.1 to 20 microns, Flux in W/m2/m, R~250) The ABUNDANCES directory contains mixing ratios of all atomic and molecular species included in these models. <strong>(2) SUPPLEMENTARY FIGURES:</strong> The plot files are named as 'target name' _ corner. Each file is a corner plot of posterior probability distributions from grid-model fit of low-resolution spectra of benchmark M dwarfs using the SPHINX model grid. We also include posterior distributions of Starfish (Czekala et al.2015) hyperparameters to properly constrain model and data systematics. The vertical blue lines in the plots indicate values from observations (empirically derived [M/H] from Mann et al. 2013 and interferometrically measured radii from Boyajian et al. 2012b). File named Gl436_mixinglength shows difference in grid model fit assuming mixing length parameter 1 vs 0.5. File named Gl725B_spot shows difference in grid model fit assuming stellar photospheric heterogeneity vs without. <strong>If you use our stellar atmosphere models, please remember to cite both the zenodo doi for the open source data as well as the paper. Thank you!</strong> --&gt; link to published paper
DOI: 10.5517/ccdc.csd.cc2d0gkg
title: CCDC 2204985: Experimental Crystal Structure Determination

description: Related Article: Siavash Shahbazi Nia, Mohammad Anwar Hossain, Guangchen Ji, Sravan K. Jonnalagadda, Samuel Obeng, Md Ashrafur Rahman, Ali Ehsan Sifat, Saeideh Nozohouri, Collin Blackwell, Dhavalkumar Patel, Jon Thompson, Scott Runyon, Takato Hiranita, Christopher R. McCurdy, Lance McMahon, Thomas J. Abbruscato, Paul C. Trippier, Volker Neugebauer, Nadezhda A. German|2023|Eur.J.Med.Chem.|254|115309|doi:10.1016/j.ejmech.2023.115309
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.cc2d6f57
title: CCDC 2210708: Experimental Crystal Structure Determination

description: Related Article: Hong Hu, Yanhui Li, Zhengyi Shi, Xiangli Zhao, Xueqi Lan, Meng Wu, Bo Tao, Yeting Zhang, Xinye Huang, Pengfei Bu, Yi Guo, Xiaosheng Tan, Changxing Qi, Yonghui Zhang|2023|Bioorg.Chem.|135|106530|doi:10.1016/j.bioorg.2023.106530
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.cc2d3gyy
title: CCDC 2207880: Experimental Crystal Structure Determination

description: Related Article: Fangyuan Kang, Yilin Lin, Shiwei Zhang, Zicong Tan, Xiang Wang, Jinglun Yang, Yung-Kang Peng, Wenjun Zhang, Chun-Sing Lee, Weiwei Huang, Qichun Zhang|2023|ACS Applied Materials and Interfaces|15|9431|doi:10.1021/acsami.2c21559
description: Related Article: kang fangyuan|2022|CSD Communication|||
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: 10.6084/m9.figshare.22662331
title: RES load profile and network parameter

description: renewable load profile and network parameter
DOI: 10.6084/m9.figshare.22662331.v3
title: RES load profile and network parameter

description: renewable load profile and network parameter
DOI: 10.48366/r585632
title: Impacts of electric vehicles (EV) on the increase in electricity demand/consumption

description: Deploying electric vehicles (EVs) is one of the pathways to achieve net zero emissions. However, the indirect effect of deploying electric vehicles is the added demand/consumption of electricity needed to charge. The contribution is to compare the electricity demand/consumption for different EV penetration rate at different regions.
DOI: 10.5517/ccdc.csd.cc2dnvrp
title: CCDC 2224583: Experimental Crystal Structure Determination

description: Related Article: Somnath, Rachel Gundamalla, Rajashaker Bantu, B. Sridhar, G. Jithender Reddy, B.V. Subba Reddy|2023|Carbohydr.Res.|528|108811|doi:10.1016/j.carres.2023.108811
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.cc2dybyn
title: CCDC 2232742: Experimental Crystal Structure Determination

description: Related Article: Harbansh Singla, Sandeep Kumar, Kavita, Jyotirmoy Maity, Ashok K. Prasad|2023|Carbohydr.Res.|527|108813|doi:10.1016/j.carres.2023.108813
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: 10.17592/001.2023042801
title: Biogeochemical data from sea ice collected during JARE61 by Shirase.

description: Biogeochemical data from sea ice collected during JARE61 by Shirase.
DOI: 10.17592/001.2023042802
title: Biogeochemical data from seawater and ice samples collected during the Multidisciplinary ecosystem survey in the eastern Indian sector of the Antarctic with a focus on Antarctic krill by R/V Kaiyo-maru in 2018/19.

description: Biogeochemical data from seawater and ice samples collected during the Multidisciplinary ecosystem survey in the eastern Indian sector of the Antarctic with a focus on Antarctic krill by R/V Kaiyo-maru in 2018/19.
DOI: 10.17592/001.2023042803
title: Biogeochemical data from sea ice collected during UM19 by Umitaka-maru.

description: Biogeochemical data from sea ice collected during UM19 by Umitaka-maru.
DOI: 10.25345/c5qv3cd6m
title: MassIVE MSV000091824 - Brain cell type specific proteomics approach to discover pathological mechanisms in the childhood CNS disorder mucolipidosis type IV
title: 1 Mucolipidosis IV (MLIV) is an ultra-rare, recessively inherited lysosomal disorder resulting from inactivating mutations in MCOLN1, the gene encoding the lysosomal cation channel TRPML1. The disease primarily affects the central nervous system (CNS), and manifests in the first year with cognitive and motor developmental delay, followed by a gradual decline in neurological function across the second decade of life, blindness and premature death in third or fourth decades. Brain pathology manifestations in MLIV are consistent with hypomyelinating leukodystrophy with brain iron accumulation. Presently there are no approved or investigational therapies for MLIV and pathogenic mechanisms remain largely unknown. MLIV mouse model, Mcoln1-/- mice, recapitulate all major manifestations of the human disease. Here, to better understand brain pathological mechanisms of the disease, we performed cell type specific MS/MS proteomics analysis in MLIV mouse model and reconstituted molecular signatures of the disease in freshly isolated populations of neurons, astrocytes, oligodendrocytes and neural stem cells or whole tissue cortical homogenates from young adult symptomatic Mcoln1-/- mice. Our analysis confirmed on molecular level major histopathological hallmarks of MLIV, such as hypomyelination, lysosomal dysregulation, impaired metabolism of lipids and polysaccharides, universally present in Mcoln1-/- tissue and brain cells. Importantly, pathway analysis in brain cell datasets revealed mitochondria-related alterations in all Mcoln1-/- brain cells expect oligodendrocytes, that was not possible to resolve in whole tissue data set. We also report unique proteome signatures and dysregulated pathways for each brain cell population used in this study. These data shed new light on cell-intrinsic mechanisms of MLIV and provide new insights for biomarker discovery and validation to advance translational studies for this disease
DOI: 10.34740/kaggle/dsv/5561142
title: arXiv Dataset
DOI: 10.6069/xxae-4w76
title: Targeted proteomic validation of dysregulated proteins in liver tissue of Labeo rohita after Aeromonas hydrophila infection

description: Aeromonas hydrophila (Ah) is an opportunistic Gram-negative bacterium and a serious global pathogen causing Motile Aeromonas Septicaemia (MAS) in fish and many other vertebrates. This study aimed at identifying the cellular proteins and processes altered by Ah infection in liver tissue of Labeo rohita, an important aquaculture species. Discovery based proteomics data could identify a panel of differentially expressed proteins (DEPs) between Control and AH condition (Ah infected group). Protein abundance changes in a few selected DEPs was then validated using Selected reaction monitoring (SRM) approach.
DOI: 10.6084/m9.figshare.21507189
title: CAN5600 & CAN2000 - GAN MODEL WEIGHTS & SYNTHETIC IMAGES

description: DATASET URLs <strong>CAN2000_CAN5600_DEPLOY.zip</strong> DATASET/can2000.csv : URLs of CAN2000 DATASET/can5600.csv : URLs of CAN5600 DATASET/download.py : Python script for downloading Stylegan3-cpu : for generating fakes; not for training <br> cf) The CAN2000 images were partially correctly using LaMa. Inquiries for the images can be requested via the corresponding authors or Dr. Han Seung Seog (whria78@gmail.com). <br> GAN MODEL WEIGHTS PKLs.zip C10000.pkl : LESION130k images; pretrained model M500.pkl : GAN5000; melanoma N500.pkl : GAN5000; nevus MN500.pkl : For morphing; melanoma and nevus <br> GAN5000 Dataset mn500.zip : synthetic images (jpg); seed 0~10000 by using MN500.pkl m500.zip : synthetic images (jpg); seed 0~10000 by using M500.pkl n500.zip : synthetic images (jpg); seed 0~10000 by using N500.pkl <br> VIDEO MN500.mp4 : Video showing the process of fine-tuning (0 ticks ~ 500 ticks) <br> MORPHED IMAGES morph234.zip : A total of 234 (18 start images * 13 end images = 234 images) morphed images.
DOI: 10.6084/m9.figshare.21507189.v12
title: CAN5600 & CAN2000 - GAN MODEL WEIGHTS & SYNTHETIC IMAGES

description: DATASET URLs <strong>CAN2000_CAN5600_DEPLOY.zip</strong> DATASET/can2000.csv : url of CAN2000 DATASET/can5600.csv : url of CAN5600 DATASET/download.py : download script Stylegan3-cpu : for generating fakes; not for training <br> cf) The CAN2000 images were partially correctly using LaMa, and the revised images can be requested via the corresponding authors or Dr. Han Seung Seog (whria78@gmail.com). The zipped archive of CAN2000, CAN5600, and LESION130k images can also be requested. GAN MODEL WEIGHTS PKLs.zip C10000.pkl : LESION130k images; pretrained model M500.pkl : GAN5000; melanoma N500.pkl : GAN5000; nevus MN500.pkl : For morphing; melanoma and nevus <br> GAN5000 Dataset mn500.zip : synthetic images (jpg); seed 0~10000 by using MN500.pkl m500.zip : synthetic images (jpg); seed 0~10000 by using M500.pkl n500.zip : synthetic images (jpg); seed 0~10000 by using N500.pkl <br> VIDEO MN500.mp4 : Video showing the process of fine-tuning (0 ticks ~ 500 ticks)
DOI: 10.6084/m9.figshare.22722763.v1
title: Literature record analysis_rl.xlsx

description: Two datasets used for this study.
DOI: 10.5281/zenodo.7879597
title: Data for: Break-even point and its impact on profit planning in educational institutions. A study conducted in Lima, Peru, 2022

description: Data set for the article "Break-even point and its impact on profit planning in educational institutions. A study conducted in Lima, Peru, 2022" Abstract:<br> <br> The break-even point is a technique for analyzing the relationship between costs, volumes and profits in organizations, which allows their managers to know quickly and economically the minimum units or amounts that their companies must sell in order not to generate losses, thus allowing them to plan their profits. Due to the pandemic caused by the Sars-Cov-2 (COVID-19 virus), virtual teaching became popular, which served as an opportunity for many teachers to start teaching courses; with time, these entrepreneurs paid attention to the importance of the break-even point for making decisions related to the opening of new sections of existing courses, or the implementation of new study programs. The objective of this study was to determine the impact of the break-even point in profit planning in educational institutions in Lima, 2022. The hypothesis was: the break-even point has an impact on profit planning in educational institutions in Lima, 2022. Through a quantitative approach study, applied type, explanatory level, non-experimental and cross-sectional design, data was collected from 91 entrepreneurs who carried out teaching activities on virtual platforms. The results obtained confirmed the influence of the break-even point calculation on profit planning in this context, modeling it with the following formula: profit planning=0.101+0.979 x break-even point
DOI: 10.5281/zenodo.7879596
title: Data for: Break-even point and its impact on profit planning in educational institutions. A study conducted in Lima, Peru, 2022

description: Data set for the article "Break-even point and its impact on profit planning in educational institutions. A study conducted in Lima, Peru, 2022" Abstract:<br> <br> The break-even point is a technique for analyzing the relationship between costs, volumes and profits in organizations, which allows their managers to know quickly and economically the minimum units or amounts that their companies must sell in order not to generate losses, thus allowing them to plan their profits. Due to the pandemic caused by the Sars-Cov-2 (COVID-19 virus), virtual teaching became popular, which served as an opportunity for many teachers to start teaching courses; with time, these entrepreneurs paid attention to the importance of the break-even point for making decisions related to the opening of new sections of existing courses, or the implementation of new study programs. The objective of this study was to determine the impact of the break-even point in profit planning in educational institutions in Lima, 2022. The hypothesis was: the break-even point has an impact on profit planning in educational institutions in Lima, 2022. Through a quantitative approach study, applied type, explanatory level, non-experimental and cross-sectional design, data was collected from 91 entrepreneurs who carried out teaching activities on virtual platforms. The results obtained confirmed the influence of the break-even point calculation on profit planning in this context, modeling it with the following formula: profit planning=0.101+0.979 x break-even point
DOI: 10.6084/m9.figshare.22344781
title: PHISTc PF3D7_0936800 raw ELISA and PMR data.csv

description: This dataset shows IgG response to schizont extract and plasmodium PHISTc PF3D7_0936800 from malaria infected healthy adults and parasite multiplication rate.
DOI: 10.6084/m9.figshare.22316296
title: Genome assembly and annotation for Solanum americanum and Solanum nigrum

description: Genome assembly and annotation for Solanum americanum and Solanum nigrum
DOI: 10.34740/kaggle/dsv/5561332
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.6084/m9.figshare.22722883
title: Small compilation of articles on cofactor engineering approaches in biocatalysis

description: Given that many enzymes in biocatalysis require redox equivalents such as NADH or FADH2, it is critical to engineer pathways or methods for regenerating these redox equivalents as their stoichiometric provision in biocatalytic reactions is expensive. This small dataset catalogue about 20 papers in the area of cofactor engineering approaches in biocatalysis that the author reviewed in August 2018. It is hoped that this small dataset offers a spread of papers in biocatalysis for the novice to begin their journey in the field.
DOI: 10.6084/m9.figshare.22722883.v1
title: Small compilation of articles on cofactor engineering approaches in biocatalysis

description: Given that many enzymes in biocatalysis require redox equivalents such as NADH or FADH2, it is critical to engineer pathways or methods for regenerating these redox equivalents as their stoichiometric provision in biocatalytic reactions is expensive. This small dataset catalogue about 20 papers in the area of cofactor engineering approaches in biocatalysis that the author reviewed in August 2018. It is hoped that this small dataset offers a spread of papers in biocatalysis for the novice to begin their journey in the field.
DOI: 10.6084/m9.figshare.22722892
title: Dataset of small collection of journal articles on microbial hydrogen production

description: Biological hydrogen production from microbial metabolism typically occurs under anaerobic conditions as the hydrogenase enzymes are generally sensitive to oxygen. This small dataset catalogues a list of six journal articles that are the results of an initial literature review on the topic by the author in 2018. Hopefully, this catalogue can be useful for newcomers to the field of microbial hydrogen production to gain an initial understanding of the field.
DOI: 10.5281/zenodo.6517414
title: DCASE 2022 Task 5: Few-shot Bioacoustic Event Detection Evaluation Set

description: <strong>General Description</strong> The evaluation set for task 5 of DCASE 2022 "Few-shot Bioacoustic Event Detection" consists of 46 audio files acquired from different bioacoustic sources. The first 5 annotations are provided for each file, with events marked as positive (POS) for the class of interest. This dataset is to be used for evaluation purposes during the task <strong>Folder Structure</strong> <em>Evaluation_Set.zip</em> |___DC/ |____*.wav |____*.csv |___CT/ |____*.wav |____*.csv |___CHE/ |____*.wav |____*.csv |___MGE/ |____*.wav |____*.csv |___MS/ |____*.wav |____*.csv |___QU/ |____*.wav |____*.csv <em>Evaluation_Set_5shots.zip</em> has the same structure but contains only the *.wav files. <em>Evaluation_Set_5shots_annotations_only.zip</em> has the same structure but contains only the *.csv files The subfolders denote different recording sources and there may or may not be overlap between classes of interest from different wav files. <strong>Annotation structure</strong> Each line of the annotation csv represents an event in the audio file. The column descriptions are as follows:<br> [ Audiofilename, Starttime, Endtime, Q ] <strong>Development Set</strong> The development set for the same task can be found at: https://doi.org/10.5281/zenodo.6012309 <strong>Open Access</strong> This dataset is available under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.<br> <strong>Contact info</strong> Please send any feedback or questions to:<br> Ines Nolasco: i.dealmeidanolasco@qmul.ac.uk
DOI: 10.5281/zenodo.6517413
title: DCASE 2022 Task 5: Few-shot Bioacoustic Event Detection Evaluation Set

description: <strong>General Description</strong> The evaluation set for task 5 of DCASE 2022 "Few-shot Bioacoustic Event Detection" consists of 46 audio files acquired from different bioacoustic sources. The first 5 annotations are provided for each file, with events marked as positive (POS) for the class of interest. This dataset is to be used for evaluation purposes during the task <strong>Folder Structure</strong> <em>Evaluation_Set.zip</em> |___DC/ |____*.wav |____*.csv |___CT/ |____*.wav |____*.csv |___CHE/ |____*.wav |____*.csv |___MGE/ |____*.wav |____*.csv |___MS/ |____*.wav |____*.csv |___QU/ |____*.wav |____*.csv <em>Evaluation_Set_5shots.zip</em> has the same structure but contains only the *.wav files. <em>Evaluation_Set_5shots_annotations_only.zip</em> has the same structure but contains only the *.csv files The subfolders denote different recording sources and there may or may not be overlap between classes of interest from different wav files. <strong>Annotation structure</strong> Each line of the annotation csv represents an event in the audio file. The column descriptions are as follows:<br> [ Audiofilename, Starttime, Endtime, Q ] <strong>Development Set</strong> The development set for the same task can be found at: https://doi.org/10.5281/zenodo.6012309 <strong>Open Access</strong> This dataset is available under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.<br> <strong>Contact info</strong> Please send any feedback or questions to:<br> Ines Nolasco: i.dealmeidanolasco@qmul.ac.uk
DOI: 10.5281/zenodo.7879687
title: A High-Level Quantum Chemical Study of the Thermodynamics Associated with Chlorine Transfer between N-Chlorinated Nucleobases

description: Geometries of the isomers of the N-Chlorinated nucleobases (adenine, guanine and thymine) as well as the lowest energy structures of the DNA bases (adenine, cytosine, guanine and thymine) obtained at the B3LYP/6-31G(2df,p) level of theory (in Cartesian Coordinates). <strong>ABSTRACT: </strong>The relative free energies of the isomers formed upon <em>N</em>-chlorination of each nitrogen atom within the DNA nucleobases (adenine, guanine, and thymine) have been obtained using the high-level G4(MP2) composite ab initio method (the free energies of the <em>N</em>-chlorinated isomers of cytosine have been reported at the same level of theory previously). Having identified the lowest energy <em>N</em>-chlorinated derivatives for each nucleobase, we have computed the free energies associated with chlorine transfer from <em>N</em>-chlorinated nucleobases to other unsubstituted bases. Our results provide quantitative support pertaining to the results of previous experimental studies, which demonstrated that rapid chlorine transfer occurs from an <em>N</em>-chlorothymidine to cytidine or adenosine. The results of our calculations in the gas-phase reveal that chlorine transfer from <em>N</em>-chlorothymine to either cytosine, adenine, or guanine proceed via exergonic processes with D<em>G</em><sup>o</sup> values of ­–50.3 (cytosine), –28.0 (guanine), and –6.7 (adenine) kJ mol<sup>–1</sup>. Additionally, we consider the effect of aqueous solvation by augmenting our gas-phase G4(MP2) energies with solvation corrections obtained using the conductor-like polarizable continuum model. In an aqueous solution, we obtain the following G4(MP2) free energies associated with chlorine transfer from <em>N</em>-chlorothymine to the three other nucleobases: –58.4 (cytosine), –26.4 (adenine), and –18.7 (guanine) kJ mol<sup>–1</sup>. Therefore, our calculations, whether in the gas phase or in an aqueous solution, clearly indicate that chlorine transfer from any of the <em>N</em>-chlorinated nucleobases to cytosine provides a thermodynamic sink for the active chlorine. This thermodynamic preference for chlorine transfer to cytidine may be particularly deleterious since previous experimental studies have shown that nitrogen-centered radical formation (via N–Cl bond homolysis) is more easily achieved in <em>N</em>-chlorinated cytidine than in other <em>N</em>-chlorinated nucleosides.