cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8251473
title: LAPSO PM2.5 over Europe and US

description: Estimating Near-Surface Concentrations of Major Air Pollutants From Space: A Universal Estimation Framework LAPSO Like many other countries, China is still facing severe air pollution issues after extensive efforts. The difficulties in deriving near-surface concentrations from satellite measurements restrict the application of remote sensing of large-scale surface air quality. Aiming at providing daily accurate near-surface ail pollution estimates (PM2.5, PM10, O3, NO2, SO2, and CO), we propose a robust estimation framework called learning air pollutants from satellite observations (LAPSO). The principle of LAPSO is to derive a nonlinear relationship between surface pollutant concentrations of interest and satellite observations with the aid of meteorological reanalyzes based on deep learning techniques. The LAPSO framework is superior to other algorithms due to its robust retrieval performance, independence from chemical transport models (CTMs), lower hardware requirements, and a user-friendly interface. The retrieval results of LAPSO were in good agreement with ground-level measurements according to extensive cross-validation at 1628 sites ( R2&gt; 0.8 in polluted areas and uncertainty ≪5 μg/m3 for most pollutants) in China. The framework also showed a strong capability to capture the temporal variability of different air pollutants. By comparing with the estimation results from different satellite platforms, TROPOspheric monitoring instrument (TROPOMI) onboard the Sentinel-5P demonstrated marginally better performance for estimating PM2.5. Although the selection of satellite observations did not significantly affect the results of O3 estimation, the number and spatial sampling density of in situ sites imposed large impacts on O3 estimation performance. The success of LAPSO for estimating near-surface concentrations from satellite remote sensing at an enhanced spatiotemporal resolution is expected to serve the continuous and dynamical monitoring of regional and global air pollution.
description: Chinese Academy of Sciences (CAS) Pioneering Initiative Talents Program under Grant E1RC2WB2
description: {"references": ["Zhu et al. Estimating Near-Surface Concentrations of Major Air Pollutants From Space: A Universal Estimation Framework IEEE Transactions on Geoscience and Remote Sensing 2023LAPSO"]}
DOI: 10.5281/zenodo.8251474
title: LAPSO PM2.5 over Europe and US

description: Estimating Near-Surface Concentrations of Major Air Pollutants From Space: A Universal Estimation Framework LAPSO Like many other countries, China is still facing severe air pollution issues after extensive efforts. The difficulties in deriving near-surface concentrations from satellite measurements restrict the application of remote sensing of large-scale surface air quality. Aiming at providing daily accurate near-surface ail pollution estimates (PM2.5, PM10, O3, NO2, SO2, and CO), we propose a robust estimation framework called learning air pollutants from satellite observations (LAPSO). The principle of LAPSO is to derive a nonlinear relationship between surface pollutant concentrations of interest and satellite observations with the aid of meteorological reanalyzes based on deep learning techniques. The LAPSO framework is superior to other algorithms due to its robust retrieval performance, independence from chemical transport models (CTMs), lower hardware requirements, and a user-friendly interface. The retrieval results of LAPSO were in good agreement with ground-level measurements according to extensive cross-validation at 1628 sites ( R2&gt; 0.8 in polluted areas and uncertainty ≪5 μg/m3 for most pollutants) in China. The framework also showed a strong capability to capture the temporal variability of different air pollutants. By comparing with the estimation results from different satellite platforms, TROPOspheric monitoring instrument (TROPOMI) onboard the Sentinel-5P demonstrated marginally better performance for estimating PM2.5. Although the selection of satellite observations did not significantly affect the results of O3 estimation, the number and spatial sampling density of in situ sites imposed large impacts on O3 estimation performance. The success of LAPSO for estimating near-surface concentrations from satellite remote sensing at an enhanced spatiotemporal resolution is expected to serve the continuous and dynamical monitoring of regional and global air pollution.
description: Chinese Academy of Sciences (CAS) Pioneering Initiative Talents Program under Grant E1RC2WB2
description: {"references": ["Zhu et al. Estimating Near-Surface Concentrations of Major Air Pollutants From Space: A Universal Estimation Framework IEEE Transactions on Geoscience and Remote Sensing 2023LAPSO"]}
DOI: 10.6084/m9.figshare.23836074
title: Supplementary Material for: Three-Year Follow-Up of Results of Intraocular Lens Fixation in Patients with Retinitis Pigmentosa

description: This is a retrospective, consecutive, noncomparative case series of 6 eyes of 5 RP patients who had undergone PPV and IOL implantation. The aim of this case series was to report the long-term outcomes of pars plana vitrectomy (PPV) with intraocular lens (IOL) implantation in patients with retinitis pigmentosa (RP). The surgical procedures, visual function, refractive error, corneal endothelial cell density, intraocular pressure, and retinal morphology were evaluated before and three years after the surgery. Six eyes of 5 RP patients that had undergone PPV and IOL implantation with or without suturing for lens dislocation were studied. The visual acuity was maintained or improved at 3 years after surgery in all 6 eyes. No intraoperative complications occurred in any of the cases. The mean deviation of the Humphrey Field Analyzer 10-2 program and the retinal morphology evaluated by optical coherence tomography did not show any abnormal changes before and after surgery. In two eyes, the postoperative refractive error was more myopic than the attempted refractive error. In conclusion, PPV with IOL implantation can be performed safely in RP patients, and the long-term visual acuity can be maintained.
DOI: 10.5517/cc6nl8p
title: CCDC 198532: Experimental Crystal Structure Determination

description: Related Article: B.Wagner, R.Gompper, K.Polborn|2002|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/ccqh38k
title: CCDC 669918: Experimental Crystal Structure Determination

description: Related Article: Yu-Fang Wang, Feng-Yang Ju, Li-Ya Wang|2010|Jiegou Huaxue|29|51|
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/ccptwv6
title: CCDC 650499: Experimental Crystal Structure Determination

description: Related Article: Yu-Fang Wang, Yong-Hua Zhang, Li-Ya Wang|2011|Jiegou Huaxue|30|1322|
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/cctx4nh
title: CCDC 771827: Experimental Crystal Structure Determination

description: Related Article: Zhi-Hua Cui, Hai-Xia Wei, Dong-Zhao Gao, Ya-Qiu Sun, Guo-Ying Zhang, Yan-Yan Xu|2011|Jiegou Huaxue|30|853|
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.23761437
title: Supplementary Material for: Predicting survival of patients with nonmetastatic breast cancer based on fibrinogen-to-albumin ratio and lymphocyte-to-monocyte ratio: A nomogram-based assessment

description: Background: Parameters of systemic inflammation have received attention as prognostic surrogates in various malignant tumors. Fibrinogen-to-albumin ratio (FAR) and lymphocyte-to-monocyte ratio (LMR) correlate with tumor growth and dissemination. We aimed to bring the combination of FAR and LMR (FAR-LMR) together to establish novel nomograms for survival and recurrence in nonmetastatic breast cancer patients. Methods: We retrospectively recruited 461 female patients with nonmetastatic breast cancer from January 2011 to December 2013 in our hospital and randomly assigned them into the training cohort (N=318) and the validation cohort (N=143). The potential predictive factors for overall survival (OS), locoregional recurrence-free survival (LRFS), and distant metastasis-free survival (DMFS) were assessed by Cox proportional hazards models and log-rank test. Results: Elevated FAR was associated with poor OS (P &lt; 0.001) and DMFS (P = 0.02), whereas increased LMR was associated with satisfactory OS (P = 0.01) and LRFS (P = 0.03). High FAR combined with low LMR was associated with less favorable OS (P = 0.001), LRFS (P = 0.005), and DMFS (P = 0.003) Based on multivariate analysis, FAR-LMR, tumor size, lymph node metastasis, age and pathologic status contributed to prognostic nomograms of OS, DMFS and LRFS. Nomograms presented exceptional performance for 3-, 5- and 8-year OS, DMFS and LRFS prediction compared with clinical TNM stage. The C-index was significantly higher than that of TNM stage, either of FAR or LMR (3-year: 0.709 vs 0.621 vs 0.544 vs 0.641, 5-year: 0.761 vs 0.597 vs 0.605 vs 0.677, 8-year: 0.84 vs 0.62 vs 0.539 vs 0.623). Conclusions: We developed and validated a convenient predictive model for the survival outcomes in patients with nonmetastatic breast cancer. The nomograms can be utilized as auxiliary tools to provide prognostic information.
DOI: 10.6084/m9.figshare.23967159.v1
title: we selected Typhoon Fung-wong (Typhoon No. 16 of 2014),Typhoon Ampil (Typhoon No. 10 of 2018), and TyphoonLekima (Typhoon No. 9 of 2019) as the primary researchcontexts. Figure 2(c) depicts the detailed paths of these threetypical typhoons.

description: Typhoon dataset
DOI: 10.6084/m9.figshare.23967159.v2
title: Typhoon Fung-wong (Typhoon No. 16 of 2014),Typhoon Ampil (Typhoon No. 10 of 2018), and TyphoonLekima (Typhoon No. 9 of 2019) datasets

description: Typhoon dataset
DOI: 10.5281/zenodo.8239714
title: Syngas conversion into higher alcohols via bio-based CuCo-wood carbon catalyst

description: yngas conversion to higher alcohols (HAS) is a promising way of converting coal or biomass into liquid fuels. However, the high cost, low activity, and selectivity of C2+OH hinder the commercialization of this process. Herein, we investigate the stability and selectivity of low-cost Cu/Co carbon wood (CW) catalysts. We noticed that the nucleation of Cu/Co nanoparticles was influenced by different water–1,2-propylene glycol ratios in the solution, where two sizes of nanoparticles were observed. The optimal catalyst displayed a high CO conversion of 74.8% and selectivity of 58.7% for C2+OH, which is mainly linear primary alcohol. Besides the best-performing catalyst was tested under industrial conditions, where high stability and selectivity were maintained for up to 350 h. In addition, selectivity was analyzed using Density functional theory (DFT) insights to identify the binding strength of CO, which can further react to form CH3OH. As well as the route of CHx and CO coupling which eventually produces C2H5OH. High performance with a computational understanding of the Cu/Co-carbon wood catalyst will open new possibilities for developing selective materials toward the production of higher alcohols.
DOI: 10.5281/zenodo.8239713
title: Syngas conversion into higher alcohols via bio-based CuCo-wood carbon catalyst

description: yngas conversion to higher alcohols (HAS) is a promising way of converting coal or biomass into liquid fuels. However, the high cost, low activity, and selectivity of C2+OH hinder the commercialization of this process. Herein, we investigate the stability and selectivity of low-cost Cu/Co carbon wood (CW) catalysts. We noticed that the nucleation of Cu/Co nanoparticles was influenced by different water–1,2-propylene glycol ratios in the solution, where two sizes of nanoparticles were observed. The optimal catalyst displayed a high CO conversion of 74.8% and selectivity of 58.7% for C2+OH, which is mainly linear primary alcohol. Besides the best-performing catalyst was tested under industrial conditions, where high stability and selectivity were maintained for up to 350 h. In addition, selectivity was analyzed using Density functional theory (DFT) insights to identify the binding strength of CO, which can further react to form CH3OH. As well as the route of CHx and CO coupling which eventually produces C2H5OH. High performance with a computational understanding of the Cu/Co-carbon wood catalyst will open new possibilities for developing selective materials toward the production of higher alcohols.
DOI: 10.6084/m9.figshare.23967159
title: Typhoon datasets and code.

description: Typhoon dataset
DOI: 10.6084/m9.figshare.23967159.v4
title: Typhoon datasets and code.

description: Typhoon dataset
DOI: 10.6084/m9.figshare.23967159.v3
title: Typhoon Fung-wong (Typhoon No. 16 of 2014),Typhoon Ampil (Typhoon No. 10 of 2018), and TyphoonLekima (Typhoon No. 9 of 2019) datasets and code.

description: Typhoon dataset
DOI: 10.4228/zalf-e5aa-9282
title: Fusarium abundance and diversity and Alternaria abundance on arable weeds at the edges of kettle holes in the AgroScapeLab Quillow in autumn and winter 2018, 2019 and 2020

description: Fields with winter wheat (preceding crop: maize) were selected to quantify the Fusarium and Alternaria infection in September, October, November 2018  as well as in October, November 2019 and January 2020 at 9 different kettle holes in the AgroScapeLab Quillow each season. At each kettle hole, 3 different arable weeds (the most frequent ones) were selected and sampled for further analyses. Total fungi, fungi of the genus Fusarium and Alternaria and the Fusarium species composition were determined by culture-dependent methods (numeration of colony forming units) from 10 weed pieces from each plant sample. Also DNA was extracted from the dried and ground weed samples, and the abundance of the gene copy numbers of Fusarium and Alternaria was determined by qPCR.

Research domain: Ecology of Agricultural Landscapes
DOI: 10.6084/m9.figshare.23967366
title: articles

description: typhoon dataset and code
DOI: 10.6084/m9.figshare.23967366.v1
title: articles

description: typhoon dataset and code
DOI: 10.34740/kaggle/dsv/6312543
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.34740/kaggle/dsv/6312553
title: UNET Lung Segmentation Weights for Chest X Rays
DOI: 10.26106/anks-zk28
title: Collection of data

description: Plik zaw. surowe dane (wyniki badań), wykorzystane w artykule "There was not, they did not: May negation cause the negated ideas to be remembered as existing?", PLoS ONE 12(4): e0176452. https://doi.org/10.1371/journal.pone.017645
DOI: 10.26106/y7kg-vs90
title: Comparison of the shape-adaptive and spherical kernels LGI's – evidence from schizophrenia

description: Structural MRI data and FreeSurfer LGI and CMORPH results comparison. T1 brain images from 30 clinical and 30 controls. Dataset include: metafile - research project description, incuding conception of analysis and related data files structure; 1) raw data - T1 subjects scans 2) analyzed data - subjects subfolders 3) code - scripts 4) final set of results - fsgd/contrast subfolders, summary tables and figures 5) step-by-step_cmorph calculations - software and analysis scripts guidelines file.
DOI: 10.26106/bpwx-ba55
title: White matter brain abnormalities are related to the severity of the negative symptoms in schizophrenia outpatients – a DTI study

description: Structural MRI-DTI data and FSL preprocessing and analysis dataset. Structural T1 and diffusion scans from 30 clinical and 30 controls. Dataset include: metafile - research project description; 1) raw MRI data and demographic and clinical data; 2) analyzed data; 3) statistics 4) step-by-step-dti calculations
DOI: 10.6084/m9.figshare.23967450
title: Graphs of fiber optic position sensor performance

description: Graphs of fiber optic position sensor performance
DOI: 10.6084/m9.figshare.23967450.v1
title: Graphs of fiber optic position sensor performance

description: Graphs of fiber optic position sensor performance
DOI: 10.26106/nej2-7j88
title: Data to figures 3-5

description: The file contains research data for figures 3-5 in the article Joanna Majerczak, Joanna Filipowska, Grzegorz Tylko, Magdalena Guzik, Janusz Karasinski, Ewa Piechowicz, Elżbieta Pyza, Stefan Chlopicki, Jerzy A. Zoladz, "Impact of long-lasting spontaneous physical activity on bone morphogenetic protein 4 in the heart and tibia in murine model of heart failure", accepted for publication in "Physiological Reports"
DOI: 10.5281/zenodo.8020831
title: Data analysis for "Wellbeing, loneliness, health-related quality of life and perception of technology of older adults in Slovenian senior homes"

description: We present datasets data analysis conducted in R for the article"Wellbeing, loneliness, health-related quality of life and perception of technology of older adults in Slovenian senior homes".
DOI: 10.5281/zenodo.8020832
title: Data analysis for "Wellbeing, loneliness, health-related quality of life and perception of technology of older adults in Slovenian senior homes"

description: We present datasets data analysis conducted in R for the article"Wellbeing, loneliness, health-related quality of life and perception of technology of older adults in Slovenian senior homes".
DOI: 10.5281/zenodo.8252316
title: Data analysis for "Wellbeing, loneliness, health-related quality of life and perception of technology of older adults in Slovenian senior homes"

description: We present datasets data analysis conducted in R for the article"Wellbeing, loneliness, health-related quality of life and perception of technology of older adults in Slovenian senior homes".
DOI: 10.26106/j5wa-k997
title: RAW chromatographic data (GC-MS) for the article: "The chemistry and histology of sexually dimorphic mental glands in the freshwater turtle, Mauremys leprosa"

description: The results of the GC-MS analysis (raw GC-MS chromatograms) of gland secretions of an aquatic turtle, Mauremys leprosa (Geoemydidae).
DOI: 10.26106/9r2s-yn13
title: Data to publication "Clonal thermal preferences affect the strength of the temperature-size rule", DOI: https://doi.org/10.1101/2020.04.08.031286

description: This file contains a complete dataset analysed and published in the manuscript with a DOI: https://doi.org/10.1101/2020.04.08.031286
DOI: 10.26106/h0a7-3c58
title: Data to publication "Body size variability across habitats in the Brachionus plicatilis cryptic species complex"

description: Data to manuscript published as a preprint with a DOI number: https://doi.org/10.1101/2020.04.30.070417
DOI: 10.26106/7q3t-2e98
title: Raw data file to: Lipowska et al. 2020. Does selection for behavioral and physiological performance traits alter glucocorticoid responsiveness in bank voles? J. Exp. Biol. 223, jeb219865. doi:10.1242/jeb.219865

description: Complete raw data set, which is the basis of the publication
DOI: 10.5517/ccrnq36
title: CCDC 705098: Experimental Crystal Structure Determination

description: Related Article: Le Guo, Xu-Hong Zhang, Yu-Xiao Wang, Shu-Ping Wang, Shu-Tao Yang|2009|Jiegou Huaxue|28|1023|
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: 10.26106/sh8v-d281
title: Reduced internalization of ectosomes by hyperglycemic endothelial cells influences wound healing processes

description: Dane do artykułu: Reduced internalization of ectosomes by hyperglycemic endothelial cells influences wound healing processes. Dane z analizy ekspresji genów, wykonanej na komórkach śródbłonka ludzkiego (HUVEC- human umbilical vein ednothelial cells). Pliki w formacie fastq. Dane nieprocesowane.
DOI: 10.26106/9831-s033
title: Data file for the article : everyday memory failures across adulthood : implications for the age prospective memory paradox, PLOS ONE 2020

description: Plik zaw. surowe dane (wyniki badań), wykorzystane w artykule "Everyday memory failures across adulthood : implications for the age prospective memory paradox", PLoS ONE. https://doi.org/10.1371/journal.pone.0239581
DOI: 10.26106/8nqt-rr48
title: Trump's Holy Grail or a Sleeping Giant : the role of the hispanic electorate in the 2020 presidential elections

description: Plik zaw. zbiór danych wykorzystanych w artykule "Trump's Holy Grail or a Sleeping Giant : the role of the hispanic electorate in the 2020 presidential elections"
DOI: 10.26106/6kw9-k641
title: Spectroscopic signature of red blood cells in a D-galactose-induced accelerated aging model

description: Data 1. Rheological and morphological data of the red blood cells (RBCs) in natural aging and the D-galactose (D-gal) mode; Data 2. Biochemical parameters in the blood plasma in natural aging and the D-gal model; Data 3. Spectroscopic data of Raman and FT-IR presenting biochemical profile of the RBC membranes in natural aging and the D-gal model; Data 4. Spectroscopic data of FT-IR presenting biochemical profile of the intact RBCs in natural aging and the D-gal model
DOI: 10.26106/accy-8y13
title: Zbadanie mechanizmu przeciwutleniającego działania kwasu tauroursodeoksycholowego (TUDCA) w układach modelowych i komórkach nabłonka upigmentowanego siatkówki (ARPE-19) in vitro

description: Wyniki zebrane z pomiarów tempa konsumpcji tlenu (EPR) i pomiarów strukturalnych (EPR) - tylko dane liczbowe, bez widm EPR
DOI: 10.26106/bwv5-gb97
title: An insight into the stages of ion leakage during red blood cell storage

description: Data 1. AFM data of red blood cell (RBC) changes during 6 weeks storage; Data 2. Ion concentration and blood gases parameters changes observed in the packed RBC during 6 weeks storage; Data 3. Heamotological and biochemical parameters observed in the packed RBC during 6 weeks storage
DOI: 10.26106/6sf5-dx95
title: B-GOOD Database on Nectar Pollen Production

description: Prepared under contract from the European Commission. Grant agreement No. 817622, EU Horizon 2020 Research and Innovation action. Project acronym: B-GOOD. Project full title: Giving beekeeping guidance by computational-assisted decision making
DOI: 10.26106/p93m-fz16
title: Data from: "How a bee is made: sex-dependent elemental budget of the wild mason bee Osmia bicornis with surprisingly intense phosphorous allocation into cocoons"

description: Raw data, detailed results and descriptive statistics - elemental concentrations, molar ratios and dry masses