cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2d4dzy
title: CCDC 2208780: Experimental Crystal Structure Determination

description: Related Article: Wenkui Yuan|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: 10.5517/ccdc.csd.cc2d4ndm
title: CCDC 2209010: Experimental Crystal Structure Determination

description: Related Article: Jie Dong|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: 10.5517/ccdc.csd.cc2d4q2c
title: CCDC 2209062: Experimental Crystal Structure Determination

description: Related Article: Mark R.J. Elsegood, Benjamin R. Buckley, and Philip C. Bulman Page|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: 10.5517/ccdc.csd.cc2190w8
title: CCDC 1885509: Experimental Crystal Structure Determination

description: Related Article: Jun Yang|2018|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: 10.5517/ccdc.csd.cc2190zc
title: CCDC 1885512: Experimental Crystal Structure Determination

description: Related Article: Jun Yang|2020|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: 10.18430/m37ris
title: X-ray diffraction data for the crystal structure of RPA3624, a beta-propeller lactonase from Rhodopseudomonas palustris, with active-site bound phosphate (7RIS)
DOI: 10.18430/m37riz
title: X-ray diffraction data for the crystal structure of RPA3624, a beta-propeller lactonase from Rhodopseudomonas palustris, with active-site bound 2-hydroxyquinoline (7RIZ)
DOI: 10.18430/m37z3s
title: X-ray diffraction data for the cRYSTAL STRUCTURE of PheF from Geobacillus stearothermophilus (7Z3S)
DOI: 10.18430/m37zb9
title: X-ray diffraction data for the crystal structure of CYP124 in complex with inhibitor carbethoxyhexyl imidazole in the absence of glycerol (NoCryo) (7ZB9)
DOI: 10.18430/m38djf
title: X-ray diffraction data for the crystal structure of RPA3624, a beta-propeller lactonase from Rhodopseudomonas palustris, with active-site bound tetrahedral intermediate (8DJF)
DOI: 10.5281/zenodo.7526274
title: Controlling magnetism with light in a zero orbital angular momentum antiferromagnet

description: Data of publication figures, and the complete dataset collected during the experiments.
DOI: 10.5281/zenodo.7526273
title: Controlling magnetism with light in a zero orbital angular momentum antiferromagnet

description: Data of publication figures, and the complete dataset collected during the experiments.
DOI: 10.6084/m9.figshare.21862494
title: KEGG_build_2023-01-10

description: An archived version of the KEGG data directory for use in anvi'o. Can be set up on a computer with an anvi'o installation using the command `anvi-setup-kegg-kofams --kegg-archive KEGG_build_2023-01-10_d20a0dcd2128.tar.gz` (specify a --kegg-data-dir to avoid overriding the default KEGG data directory, if one exists).<br> Contains MODULES.db version 4.<br> Hash value of the database is d20a0dcd2128
DOI: 10.6084/m9.figshare.21862494.v1
title: KEGG_build_2023-01-10

description: An archived version of the KEGG data directory for use in anvi'o. Can be set up on a computer with an anvi'o installation using the command `anvi-setup-kegg-kofams --kegg-archive KEGG_build_2023-01-10_d20a0dcd2128.tar.gz` (specify a --kegg-data-dir to avoid overriding the default KEGG data directory, if one exists).<br> Contains MODULES.db version 4.<br> Hash value of the database is d20a0dcd2128
DOI: 10.5281/zenodo.7432661
title: Suplementary material: Towards uncoding hepatotoxicity of approved drugs through navigation of multiverse and consensus chemical spaces

description: Supplementary material: "Towards uncoding hepatotoxicity of approved drugs through navigation of multiverse and consensus chemical spaces"
DOI: 10.5281/zenodo.7432662
title: Suplementary material: Towards uncoding hepatotoxicity of approved drugs through navigation of multiverse and consensus chemical spaces

description: Supplementary material: "Towards uncoding hepatotoxicity of approved drugs through navigation of multiverse and consensus chemical spaces"
DOI: 10.5281/zenodo.7459963
title: Suplementary material: Towards uncoding hepatotoxicity of approved drugs through navigation of multiverse and consensus chemical spaces

description: Supplementary material: "Towards uncoding hepatotoxicity of approved drugs through navigation of multiverse and consensus chemical spaces"
DOI: 10.5281/zenodo.7460186
title: Suplementary material: Towards uncoding hepatotoxicity of approved drugs through navigation of multiverse and consensus chemical spaces

description: Supplementary material: "Towards uncoding hepatotoxicity of approved drugs through navigation of multiverse and consensus chemical spaces"
DOI: 10.5281/zenodo.7523659
title: Suplementary material: Towards uncoding hepatotoxicity of approved drugs through navigation of multiverse and consensus chemical spaces

description: Supplementary material: "Towards uncoding hepatotoxicity of approved drugs through navigation of multiverse and consensus chemical spaces"
DOI: 10.5281/zenodo.7526385
title: Suplementary material: Towards uncoding hepatotoxicity of approved drugs through navigation of multiverse and consensus chemical spaces

description: Supplementary material: "Towards uncoding hepatotoxicity of approved drugs through navigation of multiverse and consensus chemical spaces"
DOI: 10.5281/zenodo.7526395
title: Baseline assemblies for "ntLink: a toolkit for de novo genome assembly scaffolding and mapping using long reads" protocol

description: ntLink is a flexible <em>de novo</em> genome scaffolding toolkit which can be run in various modes depending on the desired user output, with multiple new functionalities recently introduced. Here, we provide the baseline assembly datasets used in the ntLink protocol paper "ntLink: a toolkit for <em>de novo </em>genome assembly scaffolding and mapping using long reads". The provided assemblies are ABySS (short-read) and Flye (long-read) assemblies of <em>Caenorhabditis elegans </em>genome sequencing data. The ABySS (v2.1.4) assembly utilized paired-end short reads (accession DRR008444), and was run with the following parameters: k=64 l=40 s=1000 q=15 B=10G j=8 kc=3 H=4 S=1000-10000 N=9.The <em>C. elegans</em> Flye (v2.5) assembly was run using Oxford Nanopore long reads (accession SRR10028109) and the following parameters: --nano-raw SRR10028109.fastq -g100m -t48.
description: {"references": ["Jackman, S. D., Vandervalk, B. P., Mohamadi, H., Chu, J., Yeo, S., Hammond, S. A., Jahesh, G., Khan, H., Coombe, L., Warren, R. L., & Birol, I. (2017). ABySS 2.0: Resource-efficient assembly of large genomes using a Bloom filter. Genome Research, 27(5), 768\u2013777. https://doi.org/10.1101/gr.214346.116", "Kolmogorov, M., Yuan, J., Lin, Y., & Pevzner, P. A. (2019). Assembly of long, error-prone reads using repeat graphs. Nature Biotechnology, 37(5), 540\u2013546. https://doi.org/10.1038/s41587-019-0072-8"]}
DOI: 10.5281/zenodo.7526394
title: Baseline assemblies for "ntLink: a toolkit for de novo genome assembly scaffolding and mapping using long reads" protocol

description: ntLink is a flexible <em>de novo</em> genome scaffolding toolkit which can be run in various modes depending on the desired user output, with multiple new functionalities recently introduced. Here, we provide the baseline assembly datasets used in the ntLink protocol paper "ntLink: a toolkit for <em>de novo </em>genome assembly scaffolding and mapping using long reads". The provided assemblies are ABySS (short-read) and Flye (long-read) assemblies of <em>Caenorhabditis elegans </em>genome sequencing data. The ABySS (v2.1.4) assembly utilized paired-end short reads (accession DRR008444), and was run with the following parameters: k=64 l=40 s=1000 q=15 B=10G j=8 kc=3 H=4 S=1000-10000 N=9.The <em>C. elegans</em> Flye (v2.5) assembly was run using Oxford Nanopore long reads (accession SRR10028109) and the following parameters: --nano-raw SRR10028109.fastq -g100m -t48.
description: {"references": ["Jackman, S. D., Vandervalk, B. P., Mohamadi, H., Chu, J., Yeo, S., Hammond, S. A., Jahesh, G., Khan, H., Coombe, L., Warren, R. L., & Birol, I. (2017). ABySS 2.0: Resource-efficient assembly of large genomes using a Bloom filter. Genome Research, 27(5), 768\u2013777. https://doi.org/10.1101/gr.214346.116", "Kolmogorov, M., Yuan, J., Lin, Y., & Pevzner, P. A. (2019). Assembly of long, error-prone reads using repeat graphs. Nature Biotechnology, 37(5), 540\u2013546. https://doi.org/10.1038/s41587-019-0072-8"]}
DOI: 10.34740/kaggle/dsv/4840012
title: Cyber Crime In India (State\UT) Wise Since 2002
DOI: 10.6084/m9.figshare.21867636
title: Article_Supplementary_Table_1_Final (002).docx

description: This study examines the impact of reduced skeletal muscle DHA content on whole body glucose and insulin tolerance.
DOI: 10.5281/zenodo.7526415
title: Paired blood-brain transcriptomes (GTEx v8), age and sex preserved

description: This dataset includes pre-normalized paired blood-brain RNA-sequencing profiles from donors included in the Genotype Tissue Expression (GTEx) Project (v8). Variances in gene expression associated with age and sex were preserved during normalization. These data are formatted for BrainGENIE.
DOI: 10.5281/zenodo.7526414
title: Paired blood-brain transcriptomes (GTEx v8), age and sex preserved

description: This dataset includes pre-normalized paired blood-brain RNA-sequencing profiles from donors included in the Genotype Tissue Expression (GTEx) Project (v8). Variances in gene expression associated with age and sex were preserved during normalization. These data are formatted for BrainGENIE.
DOI: 10.5281/zenodo.7526388
title: Uncertainty Driven Dynamics for Active Learning of Interatomic Potentials. Glycine and Acetylacetone Data.

description: Data generated and analyzed in <strong>M.Kulichenko <em>et. al</em>. Uncertainty Driven Dynamics for Active Learning of Interatomic Potentials. <em>Nat. Comput. Sci </em>(2023).</strong> Glycine data sets (MD-AL and UDD-AL). Acetylacetone MD and UDD trajectories. See README.md for details.
DOI: 10.15139/s3/ypqogr
title: Replication Data for "DomainATM: Domain Adaptation Toolbox for Medical Data Analysis. NeuroImage, DOI: 10.1016/j.neuroimage.2023.119863, 2023"

description: Domain Adaptation Toolbox for Medical data analysis (DomainATM) — an open-source software package designed for fast facilitation and easy customization of domain adaptation methods for medical data analysis. The DomainATM is implemented in MATLAB with a user-friendly graphical interface, and it consists of a collection of popular data adaptation algorithms that have been extensively applied to medical image analysis and computer vision. The DomainATM facilitates fast feature-level and image-level adaptation, visualization, and performance evaluation of different adaptation methods for medical data analysis. The DomainATM enables the users to develop and test their own adaptation methods through scripting, greatly enhancing its utility and extensibility.
DOI: 10.7294/21818604.v1
title: InSAR-based Line-of-sight Displacement at Los Angeles Area

description: Line-of-sight Displacement across Los Angeles as shown in Fig 14b of Lee and Shirzaei (2023) Remote Sensing of Environment. Volume 286, 113447 The SAR data sets spanning from 26 February 2016 to 29 August 2022 include 247 images in descending orbits of the Sentinel-1 C-band satellite. The data set is processed using WabInSAR algorithm. See citations below for details. Associated Resource Citation: Lee, Jui-Chi, and Shirzaei. Manoochehr (2023), Novel Algorithms for Pair and Pixel Selection and Atmospheric Error Correction in Multitemporal InSAR, Remote Sensing of Environment. Volume 286, 113447, doi:10.1126/j.rse.2022.113447 References: [1] M. Shirzaei, J. Freymueller, T. E. Törnqvist, D. L. Galloway, T. Dura, and P. S. J. Minderhoud, "Measuring, modelling and projecting coastal land subsidence," Nature Reviews Earth & Environment, 2020/12/10 2021, doi: 10.1038/s43017-020-00115-x. [2] M. M. Miller and M. Shirzaei, "Assessment of future flood hazards for southeastern Texas: Synthesizing subsidence, sea‐level rise, and storm surge scenarios," Geophysical Research Letters, vol. 48, no. 8, p. e2021GL092544, 2021. [3] E. Blackwell, M. Shirzaei, C. Ojha, and S. Werth, "Tracking California’s sinking coast from space: Implications for relative sea-level rise," Science Advances, vol. 6, no. 31, p. eaba4551, 2020, doi: 10.1126/sciadv.aba4551. [4] C. Ojha, M. Shirzaei, S. Werth, D. F. Argus, and T. G. Farr, "Sustained Groundwater loss in California's Central Valley exacerbated by intense drought periods," Water resources research, vol. 54, no. 7, pp. 4449-4460, 2018. [5] M. Shirzaei and R. Bürgmann, "Time-dependent model of creep on Hayward fault inferred from joint inversion of 18 years InSAR time series and surface creep data," J. Geophys. Res. Solid Earth, vol. 118, no. 1733–1746, p. doi:10.1002/jgrb.50149, 2013. [6] M. Shirzaei, "A Wavelet-Based Multitemporal DInSAR Algorithm for Monitoring Ground Surface Motion," (in English), Ieee Geoscience and Remote Sensing Letters, vol. 10, no. 3, pp. 456-460, May 2013, doi: Doi 10.1109/Lgrs.2012.2208935. [7] M. Shirzaei and R. Bürgmann, "Topography correlated atmospheric delay correction in radar interferometry using wavelet transforms," Geophysical Research Letters, vol. 39, no. 1, p. doi: 10.1029/2011GL049971, Jan 6 2012. [Online]. Available: ://WOS:000298930900002 [8] M. Shirzaei, R. Bürgmann, and E. J. Fielding, "Applicability of Sentinel‐1 Terrain Observation by Progressive Scans multitemporal interferometry for monitoring slow ground motions in the San Francisco Bay Area," Geophysical Research Letters, vol. 44, no. 6, pp. 2733-2742, 2017, doi: 10.1002/2017GL072663. <br>
DOI: 10.5281/zenodo.7499615
title: Planning extra ICU beds for pandemics: an experimental study

description: Dataset of paper "Planning extra ICU beds for pandemics: an experimental study".
DOI: 10.5281/zenodo.7499616
title: Sizing and assigning extra ICU beds ahead of epidemic demand

description: Dataset of paper "Sizing and assigning extra ICU beds ahead of epidemic demand".
DOI: 10.5281/zenodo.7526442
title: Planning extra ICU beds for pandemics: an experimental study

description: Dataset of paper "Planning extra ICU beds for pandemics: an experimental study".
DOI: 10.6084/m9.figshare.19678962
title: Beyond the Big Five Personality Traits for Music Recommendation Systems - dataset

description: The aim of the paper "Beyond the Big Five Personality Traits for Music Recommendation Systems" is to investigate the influence of personality traits, characterized by the BFI (Big Five Inventory) and its significant revision called BFI-2, on music recommendation error. The BFI-2 describes<br> the lower-order facets of the Big Five personality traits. We performed experiments with 279 participants, using an application (called Music Master) we developed for music listening and ranking, and for collecting personality profiles of the users. Additionally, 29-dimensional vectors of<br> audio features were extracted to describe the music files.<br> In our paper, we used this data set to test several hypotheses about the influence of personality traits and the audio features on music recommendation error. The experiments have showed that every combination of Big-Five personality traits produces worse results than using lower-order personality facets. Additionally, we found a small subset of personality facets that yielded the lowest recommendation error. This finding allows condensing the<br> personality questionnaire to only the most essential questions.<br> The EXCEL file contains 5278 entries created for 279 participants. Each entry includes the preferences (expressed using the 5-point Likert scale) that refer to listening to music's cognitive aspect are denoted as Q1. The motivational and interpersonal aspects are denoted as Q2 and Q3, respectively. The following 20 variables (columns) contain 20 dimensional, extended Big Five personality traits values. The last 29 columns contain the values of low-level audio features, including emotions extracted from the audio files. The EXCEL file is ready to be saved in CSV and imported into memory using a suitable programming language (e.g. Python, R, Java, Matlab and others) for further processing, i.e. for creating user-item matrixes for collaborating filtering and evaluating its performance with the usage of proposed new rating types (motivational and interpersonal ones) described the article. <br> The usage of the data set requires citing the paper. <br> <br>
DOI: 10.6084/m9.figshare.21867708
title: Optimized geometries and vibrational analyses of dimers of acetone, chloroform and acetone-chloroform

description: These are the optimized geometries and vibrational analyses of acetone homodimers, chloroform homodimers and acetone-chloroform heterodimers at the MP2/cc-pVDZ level of theory.
DOI: 10.6084/m9.figshare.21429219
title: Chromosome-scale assembly of the Verbenaceae species Queen’s Wreath (Petrea volubilis L.)

description: Chromosome-scale assembly and genome annotation of the Verbenaceae species Queen’s Wreath (Petrea volubilis L.)
DOI: 10.6084/m9.figshare.21429219.v2
title: Chromosome-scale assembly of the Verbenaceae species Queen’s Wreath (Petrea volubilis L.)

description: Chromosome-scale assembly and genome annotation of the Verbenaceae species Queen’s Wreath (Petrea volubilis L.)
DOI: 10.34740/kaggle/dsv/4840089
title: Computer Motherboard Production Defects
DOI: 10.34740/kaggle/dsv/4840092
title: Computer Motherboard Production Defects
DOI: 10.34740/kaggle/dsv/4840094
title: Computer Motherboard Production Defects
DOI: 10.34740/kaggle/dsv/4839979
title: Top DS and ML channels on YouTube
DOI: 10.34740/kaggle/dsv/4840131
title: AI/ML Salaries
DOI: 10.25573/serc.21295713
title: Dataset: Global controls on carbon storage in mangrove soils

description: This dataset accompanies the paper Rovai et al (2018), in Nature Climate Change. Global-scale variation in mangrove ecosystem properties has been explained using a conceptual framework linking geomorphological processes to distinct coastal environmental settings (CES) for nearly 50 years. However, these assumptions have not been empirically tested at the global scale. Here, we show that CES account for global variability in mangrove soil organic carbon (SOC) stocks. Using this ecogeomorphology framework, we developed a global model that captures variation in mangrove SOC stocks compatible with distinct CES. This dataset provides SOC data from this study, obtained from 36 sites across the neotropics.
DOI: 10.6084/m9.figshare.21867753
title: UAS-Uptake dataset

description: This is a csv file of the deidentified dataset for UAS-Uptake paper. The data was collected by the Understanding America Study at the University of Southern California. Please see the associated Codebook for a description of the data fields and responses.
DOI: 10.6084/m9.figshare.21867753.v1
title: UAS-Uptake dataset

description: This is a csv file of the deidentified dataset for UAS-Uptake paper. The data was collected by the Understanding America Study at the University of Southern California. Please see the associated Codebook for a description of the data fields and responses.
DOI: 10.15784/601651
title: Modelled Solar Irradiance for Western Antarctic Pennisula

description: This dataset comprises a series of geotiff grids of modelled solar radiation (Wh m-2 day-1) for a portion of the Western Antarctic Peninsula. The grids were generated using the r.sun module in Grass GIS. In addition to the a geotiff grid representing the average daily global horizontal irradiance for an entire year, the dataset also includes geotiffs containing daily values of direct beam irradiance, diffuse irradiance, ground reflected irradiance, and global (total) irradiance (all in Wh m-2 day-1) as well as insolation time (hours). This dataset was created in support of projects ANT-1744550, -1744570, -1744584, and -1744602.
DOI: 10.5281/zenodo.4912529
title: Constitutive depletion of brain serotonin differentially affects rats' social and cognitive abilities

description: <strong>Background</strong> Central serotonin is an essential neuromodulator for mental disorders. It appears a promising transdiagnostic marker of distinct psychiatric disorders and a common modulator of some of their key behavioral symptoms. We aimed to identify the behavioral markers of serotonergic function in rats and compare them to human deficits. <strong>Methods</strong> We applied a comprehensive profiling approach in adult male <em>Tph2<sup>−/−</sup></em> rats constitutively lacking central serotonin. Under classical and ethological testing conditions, we tested each individual’s cognitive, social and non-social abilities and characterized the group organization (i.e. social network, hierarchy). Using unsupervised machine learning, we identified the functions most dependent on central serotonin. <strong>Results</strong> In classical procedures, <em>Tph2<sup>−/−</sup></em> rats presented an unexpected normal cognitive profile. Under the complex and experimenter-free conditions of their home-cage, the same <em>Tph2<sup>−/−</sup></em> rats presented drastic changes in their daily life. Brain serotonin depletion induced compulsive aggression and sexual behavior, hyperactive and hypervigilant stereotyped behavior, reduced self-care and body weight, and exacerbated corticosterone levels. Group-housed <em>Tph2<sup>−/−</sup></em> rats showed strong social disorganization with disrupted social networks and hierarchical structure, which may arise from communication deficits and cognitive blunting. <strong>Conclusions</strong> Serotonin depletion induced a profile reminiscent of the symptomatology of impulse control and anxiety disorders. Serotonin was necessary for behavioral adaptation to dynamic social environments. In classical testing conditions, our animal model challenged the concept of an essential role of serotonin in decision-making, flexibility, and impulsivity, although developmental compensations may have occurred. These contrasting findings highlight the need to generalize the evaluation of animal models’ multidimensional functions within the complexity of the social living environment.