cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc253jlf
title: CCDC 1999394: Experimental Crystal Structure Determination

description: Related Article: Xiao-Tong Li, Heng-Zhi Tian, Xing-Wen Sun|2022|J.Org.Chem.|88|7839|doi:10.1021/acs.joc.2c00878
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.cc2bf2tp
title: CCDC 2157532: Experimental Crystal Structure Determination

description: Related Article: Xiao-Tong Li, Heng-Zhi Tian, Xing-Wen Sun|2022|J.Org.Chem.|88|7839|doi:10.1021/acs.joc.2c00878
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: 10.34740/kaggle/dsv/6106738
title: Polish-Ukrainian translations from Tatoeba
DOI: 10.34740/kaggle/dsv/6106752
title: Pypi sython pandaerror handling
DOI: 10.25901/cs6c-cz56
title: Hyperspectral Ground Calibration Data - Spectroradiometer, Australian Field Sites
DOI: 10.5517/ccdc.csd.cc2fpd6r
title: CCDC 2254884: Experimental Crystal Structure Determination

description: Related Article: kaihui zhao|2023|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.23651220
title: Supplementary Table.xlsx

description: supplementary table for paper "molecular descriptors of icewine odorants: A first insight into their relationship with metabolism and olfactory perception"
DOI: 10.25919/n9tm-x777
title: Parkes observations for project P885 semester 2023APRS_06

description: We request a continued modest monitoring cadence of once every 10 days for two radio magnetars, to track their rotation, flux density, and polarisation. 1E 1547.0-5408 has just suffered a 'hiccup' in radiative properties as well as in its rotation, and the near-term response to this event remains unclear. Swift J1818.0-1607 remains quite dynamic, and the unique UWL capabilities promise new opportunities to probe still mysterious radio emission mechanisms in magnetars. We will observe XTE J1810-197 and PSR J1622-4950, which has just ceased emission, less frequently. The overall request is 18 hours.
DOI: 10.25934/pr00008335.1
title: Available datapackage for study 'A PHASE 3, OPEN-LABEL, RANDOMIZED PARALLEL,2-ARM,MULTI-CENTER STUDY OF TALAZOPARIB(BMN 673) VERSUS PHYSICIAN'S CHOICE IN GERMLINE BRCA MUTATION SUBJECTS WITH LOCALLY ADVANCED AND/OR METASTATIC BREAST CANCER, WHO HAVE RECEIVED PRIOR CHEMOTHERAPY REGIMENS FOR METASTATIC DISEASE'

description: The purpose of this open-label, 2:1 randomized phase III trial is to compare the safety and efficacy of talazoparib (also known as BMN 673) versus protocol-specific physician's choice in patients who have locally advanced and/or metastatic breast cancer with germline BRCA mutations.
DOI: 10.21227/d3rf-gm11
title: A robust image watermarking scheme based on image normalization and contourlet transform

description: It is a challenging work to solve the geometric attack in the field of digital watermarking. In order to solve the synchronization between the host image and the watermark, image normalization is introduced. Firstly, the geometrically invariant space of image is constructed by using image normalization, and a region of interest (ROI) is obtained from the normalized image by utilizing the invariant centroid theory. Then, the contourlet transform is performed on the ROI. Low-pass sub-band coefficients are divided into non-overlapping blocks. Finally, as the energy of the blocks are not the same, an adaptive quantization step is used to embed the binary watermark information on the maximum singular value of the block. The experimental results demonstrate that the watermarked images exhibit high visual quality, and the scheme is effective against common image processing and geometric distortions.
DOI: 10.6084/m9.figshare.17091653.v2
title: A 30-m resolution distribution map of maize for China based on Landsat and Sentinel images

description: As the second largest producer of maize, China contributes 23% of global maize production and plays an important role in guaranteeing maize markets stability. In spite of its importance, there is no 30 m spatial resolution distribution map of maize for all of China. This study used a time-weighted dynamic time warping method to identify planting areas of maize by comparing the similarity of time series of a satellite-based vegetation index at each pixel with a standard time series derived from known maize fields and mapped maize distribution from 2016 to 2020 over 22 provinces accounting for more than 99% of the maize planting area in China. Based on 18800 field-surveyed pixels at 30-meter spatial resolution, the distribution map yields 76.15% and 81.59% of producer’s and user’s accuracies averaged over the entire investigated provinces, respectively. Municipality- and county-level census data also show a good performance in reproducing the spatial distribution of maize. This study provides an approach to mapping maize over large areas based on a small volume of field survey data. 1: maize classification system: 0: non-maize <br> Ruoque Shen, Jie Dong, Wenping Yuan, Wei Han, Tao Ye, Wenzhi Zhao, "A 30 m Resolution Distribution Map of Maize for China Based on Landsat and Sentinel Images", <em>Journal of Remote Sensing</em>, vol. 2022, Article ID 9846712, 12 pages, 2022. https://doi.org/10.34133/2022/9846712
DOI: 10.6084/m9.figshare.23651358.v1
title: paper data

description: We collected a total of 400 heart sound samples using the heart sound simulation acquisition system to build the dataset for heart sound data collected with the piezoelectric film. The input signals for this dataset were obtained from the dataset provided by Yaseen [2018]
DOI: 10.6084/m9.figshare.23651358
title: paper data

description: We collected a total of 400 heart sound samples using the heart sound simulation acquisition system to build the dataset for heart sound data collected with the piezoelectric film. The input signals for this dataset were obtained from the dataset provided by Yaseen [2018]
DOI: 10.5281/zenodo.8128727
title: The isolation of novel species expands the genomic diversity of Lachnospiraceae

description: A comprehensive understanding of the diversity of <em>Lachnospiraceae</em>, one of the most promising next-generation probiotics, is currently lacking, which limits the selection of strains for subsequent applications. To address this, we performed an in-depth genomic and functional analysis of 1,868 high-quality isolated genomes by integrating data from public databases and our new isolates, representing 387 colonization selective species-level clusters, of which 9 genera represent multi-lineage clusters. Pan-genome analysis, single nucleotide polymorphism (SNP) identification, and probiotic functional predictions revealed that species taxonomy, habitats, and geography shape the functional diversity of <em>Lachnospiraceae</em>. Finally, analyses of associations with atherosclerotic cardiovascular disease (ACVD) indicated that many strains of the potentially novel species can reduce the abundance of opportunistic pathogens. Together, the large-scale genomics diversity analysis of <em>Lachnospiraceae </em>highlights the importance of potentially novel species and provides the ability for strain-level metagenomic association analysis to guide the selection of strains for the next-generation probiotics.
description: The 1,868 high-quality isolated genomes
DOI: 10.5281/zenodo.8128726
title: The isolation of novel species expands the genomic diversity of Lachnospiraceae

description: A comprehensive understanding of the diversity of <em>Lachnospiraceae</em>, one of the most promising next-generation probiotics, is currently lacking, which limits the selection of strains for subsequent applications. To address this, we performed an in-depth genomic and functional analysis of 1,868 high-quality isolated genomes by integrating data from public databases and our new isolates, representing 387 colonization selective species-level clusters, of which 9 genera represent multi-lineage clusters. Pan-genome analysis, single nucleotide polymorphism (SNP) identification, and probiotic functional predictions revealed that species taxonomy, habitats, and geography shape the functional diversity of <em>Lachnospiraceae</em>. Finally, analyses of associations with atherosclerotic cardiovascular disease (ACVD) indicated that many strains of the potentially novel species can reduce the abundance of opportunistic pathogens. Together, the large-scale genomics diversity analysis of <em>Lachnospiraceae </em>highlights the importance of potentially novel species and provides the ability for strain-level metagenomic association analysis to guide the selection of strains for the next-generation probiotics.
description: The 1,868 high-quality isolated genomes
DOI: 10.6084/m9.figshare.23651437.v1
title: Additional file 2 of Sensing and avoiding sick conspecifics requires Gαi2+ vomeronasal neurons

description: Additional file 2: Dataset S1. Dataset containing values andstatistical analyses displayed in all the figures.
DOI: 10.6084/m9.figshare.23651437
title: Additional file 2 of Sensing and avoiding sick conspecifics requires Gαi2+ vomeronasal neurons

description: Additional file 2: Dataset S1. Dataset containing values andstatistical analyses displayed in all the figures.
DOI: 10.6084/m9.figshare.23651444
title: Additional file 1 of Home-based upper limb stroke rehabilitation mechatronics: challenges and opportunities

description: Additional file 1. Mechatronic devices for home-based upper limb rehabilitation therapy.
DOI: 10.6084/m9.figshare.23651444.v1
title: Additional file 1 of Home-based upper limb stroke rehabilitation mechatronics: challenges and opportunities

description: Additional file 1. Mechatronic devices for home-based upper limb rehabilitation therapy.
DOI: 10.6084/m9.figshare.23651394
title: Defective Branched-Chain Amino Acid Catabolism in Dorsal Root Ganglia Contributes to Mechanical Pain

description: Abstract: Impaired branched-chain amino acid (BCAA) catabolism has recently been implicated in the development of mechanical pain, but the molecular mechanisms are unclear. Here we report that defective BCAA catabolism in dorsal root ganglia (DRG) neurons sensitizes mice to mechanical pain by increasing lactate production and <em>Piezo2 </em>expression, a mechanotransduction channel. In high-fat diet fed obese mice, we observed a downregulation of <em>PP2Cm</em>, a key regulator in BCAA catabolic pathway, in DRG neurons. Mice with conditional knockout of <em>PP2Cm </em>in DRG neurons (cKO) exhibited mechanical allodynia under normal or spare nerve injury (SNI)-induced neuropathic injury conditions. Further, in patients with peripheral neuropathic pain, we found that the Visual Analogue Scale (VAS) scores were positively correlated with BCAA contents in plasma, highlighting a link between peripheral neuropathic pain and dysregulated BCAA catabolism. Mechanistically, defective BCAA catabolism promotes the production of lactate through glycolysis in DRG neurons, which increases H3K18la modification and drives <em>Piezo2</em> expression. Inhibition of lactate production or silencing of <em>Piezo2</em> expression attenuated the pain phenotype of cKO to mechanical stimuli. Therefore, our study demonstrates a casual role of defective BCAA catabolism in mechanical pain by enhancing metabolite-mediated epigenetic regulation. Method: Fresh DRG samples (Ctrl and cKO) were frozen in liquid nitrogen. After thawing on ice, 10 mg tissue was homogenized in -80°C precooled labeled-solution (MeOH: H2O=4:1, v/v) for 30 s, 4 cycles, and placed at -80°C for 30 minutes. In ice water bath, ultrasonic wave was used for 10 min and centrifuged at 14000 rpm. The precipitated protein was dissolved in no labeled-liquid (MeOH: H2O=4:1), vortexed and centrifuged. After derivatization with N-methyl-N-(trimethylsilyl)tri-fluoroacetamide for 30 min, the supernatant was detected by LC-MS. Metabolites were identified by means of KEGG Metabolic pathways.
DOI: 10.34740/kaggle/dsv/6107220
title: EMPOLITICON: Political Speeches-Context & Emotion
DOI: 10.57841/casdc.0001603
title: 高分1 PMS数据空间
DOI: 10.6084/m9.figshare.19780470
title: Who are the plotters behind the pandemic? Comparing Covid-19 conspiracy theories in Google search results across five key target countries of Russia’s foreign communication

description: This article advances extant research that has audited search algorithms for misinformation in four respects. Firstly, this is the first misinformation audit not to implement a national but a cross-national research design. Secondly, it retrieves results not in response to the most popular query terms. Instead, it theorizes two semantic dimensions of search terms and illustrates how they impact the number of misinformative results returned. Furthermore, the analysis not only captures the mere presence of misinformative content but in addition whether the source websites are affiliated with a key misinformation actor (Russia’s ruling elites) and whom the conspiracy narratives cast as the malicious plotters. Empirically, the audit compares Covid-19 conspiracy theories in Google search results across 5 key target countries of Russia’s foreign communication (Belarus, Estonia, Germany, Ukraine, and the US) and Russia as of November 2020 (<i>N</i> = 5280 search results). It finds that, across all countries, primarily content published by mass media organizations rendered conspiracy theories visible in search results. Conspiratorial content published on websites affiliated with Russia’s ruling elites was retrieved in the Belarusian, German and Russian contexts. Across all countries, the majority of conspiracy narratives suspected plotters from China. Malicious actors from the US were insinuated exclusively by sources affiliated with Russia’s elites. Overall, conspiracy narratives did not primarily deepen divides within but between national communities, since – across all countries – only plotters from beyond the national borders were blamed. To conclude, the article discusses methodological advice and promising paths of research for future cross-national search engine audits.
DOI: 10.6084/m9.figshare.19780470.v1
title: Who are the plotters behind the pandemic? Comparing Covid-19 conspiracy theories in Google search results across five key target countries of Russia’s foreign communication

description: This article advances extant research that has audited search algorithms for misinformation in four respects. Firstly, this is the first misinformation audit not to implement a national but a cross-national research design. Secondly, it retrieves results not in response to the most popular query terms. Instead, it theorizes two semantic dimensions of search terms and illustrates how they impact the number of misinformative results returned. Furthermore, the analysis not only captures the mere presence of misinformative content but in addition whether the source websites are affiliated with a key misinformation actor (Russia’s ruling elites) and whom the conspiracy narratives cast as the malicious plotters. Empirically, the audit compares Covid-19 conspiracy theories in Google search results across 5 key target countries of Russia’s foreign communication (Belarus, Estonia, Germany, Ukraine, and the US) and Russia as of November 2020 (<i>N</i> = 5280 search results). It finds that, across all countries, primarily content published by mass media organizations rendered conspiracy theories visible in search results. Conspiratorial content published on websites affiliated with Russia’s ruling elites was retrieved in the Belarusian, German and Russian contexts. Across all countries, the majority of conspiracy narratives suspected plotters from China. Malicious actors from the US were insinuated exclusively by sources affiliated with Russia’s elites. Overall, conspiracy narratives did not primarily deepen divides within but between national communities, since – across all countries – only plotters from beyond the national borders were blamed. To conclude, the article discusses methodological advice and promising paths of research for future cross-national search engine audits.
DOI: 10.5281/zenodo.8128846
title: SPIT- GTEx simulated experiments

description: This dataset contains the original quantification file of 235 GTEx samples and 20 DTU experiments simulated on this data for the evaluation of SPIT. An R script is provided for running DRIMSeq&stageR on the experiments. For the scripts used for generating the experiments as well as running the SPIT pipeline, please see the GitHub page for SPIT.
DOI: 10.5281/zenodo.8128845
title: SPIT- GTEx simulated experiments

description: This dataset contains the original quantification file of 235 GTEx samples and 20 DTU experiments simulated on this data for the evaluation of SPIT. An R script is provided for running DRIMSeq&stageR on the experiments. For the scripts used for generating the experiments as well as running the SPIT pipeline, please see the GitHub page for SPIT.
DOI: 10.6084/m9.figshare.23652000
title: <strong>Repository of molecular docking analysis from the chickpea peptides with DPP-IV (PDB: 4PNZ)</strong>

description: The present repository contains the results of 46 molecular docking analysis of provicilin- and legumin-derived chickpea peptides with the active site of DPP-IV (PDB: 4PNZ) in a PDB format and 2D-visualization.
DOI: 10.6084/m9.figshare.23651568
title: XRD and OFM features for MD-HIT algorithm

description: This dataset is for the XRD and OFM features for the paper "<strong>MD-HIT: Machine Learning for Materials Property Prediction with Dataset Redundancy Control"</strong>
DOI: 10.5281/zenodo.8128928
title: A tightly coupled river-ocean model for simulating combined flood due to storm surge and river flow in coastal-urban areas

description: Coastal flooding, resulting from storm surges or extreme river flows, causes significant causalities and damage to properties in low-lying areas. The simultaneous occurrence of river flows and storm surges, termed combined/compound events, exacerbates the flood risk compared to independent occurrences. Combined flood events are simulated with the help of hydraulic and hydrodynamic models using a loosely or tightly coupled approach. In the loosely coupled approach, a hydrodynamic model simulates storm surges first, and a hydraulic model then simulates inland flood due to river overflow considering surge as the boundary condition at the river mouth/estuary. Conversely, the tightly coupled approach involves simultaneous simulation of both river flow and storm surge by coding the mathematical representation of river and ocean flow dynamics in the same numerical model. This allows the interaction between river and ocean flows to be simulated anywhere in the combined river-ocean computational domain, making it highly relevant for simulating combined floods. However, existing models based on this approach encounter numerical instability, especially in inland regions where topography variation is steep and highly uneven. Also, such combined models are highly limited for large scale applications. Therefore, this research focuses on developing a tightly coupled 2D finite volume river-ocean model called IROMS-C2D. The developed model intends to address the limitations of the previous models and provide a stable solution framework for the simulation of combined flooding resulting from the interaction of storm surges and river flows in coastal urban areas. Further, it enhances our understanding of flood risks in coastal areas, particularly in urban settings, and facilitates the formulation of effective measures for flood control and adaptation of coastal infrastructure.
DOI: 10.5281/zenodo.8128927
title: A tightly coupled river-ocean model for simulating combined flood due to storm surge and river flow in coastal-urban areas

description: Coastal flooding, resulting from storm surges or extreme river flows, causes significant causalities and damage to properties in low-lying areas. The simultaneous occurrence of river flows and storm surges, termed combined/compound events, exacerbates the flood risk compared to independent occurrences. Combined flood events are simulated with the help of hydraulic and hydrodynamic models using a loosely or tightly coupled approach. In the loosely coupled approach, a hydrodynamic model simulates storm surges first, and a hydraulic model then simulates inland flood due to river overflow considering surge as the boundary condition at the river mouth/estuary. Conversely, the tightly coupled approach involves simultaneous simulation of both river flow and storm surge by coding the mathematical representation of river and ocean flow dynamics in the same numerical model. This allows the interaction between river and ocean flows to be simulated anywhere in the combined river-ocean computational domain, making it highly relevant for simulating combined floods. However, existing models based on this approach encounter numerical instability, especially in inland regions where topography variation is steep and highly uneven. Also, such combined models are highly limited for large scale applications. Therefore, this research focuses on developing a tightly coupled 2D finite volume river-ocean model called IROMS-C2D. The developed model intends to address the limitations of the previous models and provide a stable solution framework for the simulation of combined flooding resulting from the interaction of storm surges and river flows in coastal urban areas. Further, it enhances our understanding of flood risks in coastal areas, particularly in urban settings, and facilitates the formulation of effective measures for flood control and adaptation of coastal infrastructure.
DOI: 10.25919/a3bc-a025
title: Parkes observations for project PX500 semester 2023APRS_15

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.5281/zenodo.8128947
title: Data files for CPD-DNA damage paper

description: This contains the data files submitted by IIIT-H faculty and students from the CCNSB group regarding the work CPD-DNA Damage.
DOI: 10.5281/zenodo.8128946
title: Data files for CPD-DNA damage paper

description: This contains the data files submitted by IIIT-H faculty and students from the CCNSB group regarding the work CPD-DNA Damage.
DOI: 10.6084/m9.figshare.23652282.v1
title: ConflictBench: A Benchmark to Evaluate Software Merge Tools

description: Related sheets for paper "ConflictBench: A Benchmark to Evaluate Software Merge Tools"