cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/j5hb3n5wnv.1
title: diabetic cornal immune cells

description: In this study, we investigated immune cell cluster alterations linked to diabetic corneal diseases using mass cytometry by time of flight (CyTOF). A panel of 41 immune-related markers was used in CyTOF to track changes in the type and quantity of corneal immune cells in the hyperglycemic condition. Comprehensive immunological profiling revealed significant immune cell changes in corneas of diabetic (db/db) mice, including a significant reduction in CD103+CD8+ tissue-resident memory T (TRM) cells and Tregs and a significant increase in γδT cells, a subset of myeloid-derived suppressor cells (MDSCs).
DOI: 10.6084/m9.figshare.24024747
title: Untitled Item

description: The raw data were obtained from public databases and bioinformatics analysis was used to search for biomarker molecules related to ferroptosis in esophageal cancer
DOI: 10.6084/m9.figshare.24024747.v1
title: Untitled Item

description: The raw data were obtained from public databases and bioinformatics analysis was used to search for biomarker molecules related to ferroptosis in esophageal cancer
DOI: 10.25829/208z-pn38
title: Leaf and fine root traits of samples from old and new (dBEF) monoculture plots in 2020

description: Plant monocultures growing for extended periods face severe losses of productivity. This phenomenon, known as ‘yield decline’, is often caused by the accumulation of above- and belowground plant antagonists. The effectiveness of plant defences against antagonists might help explain differences in yield decline among species. Using a trait-based approach, we studied the role of 20 physical and chemical defence traits of leaves and fine roots on yield decline of 4- and 18-year-old monocultures of 27 grassland species.
We hypothesized that yield decline is lower for species with high defences, that root defences are better predictors of yield decline than leaf defences, and that in roots, physical defences better predict yield decline than chemical defences, while the reverse is true for leaves. We additionally hypothesized that the relationship between defences and yield decline increase with time and that species increasing the expression of defence traits after long-term monoculture growth would suffer less yield decline. We summarized leaf and fine root defence traits using principal component analysis and analysed the relationship between the most informative components as well as their temporal changes and monoculture yield decline.
This dataset included leaf and fine roots traits measured in the old and new (dBEF) monocultures.
DOI: 10.6084/m9.figshare.23903929
title: Functional Residues in Plant Nutrient Transporters: An Opportunity for Gene Editing to Improve Agronomic Traits

description: Plants require essential nutrients for maintaining normal physiological, biochemical, and molecular functions. Plasma membrane-localized nutrient transporters play key roles in acquiring and allocating plant nutrients. Extensive studies have been performed on the functional characterization of key plant nutrient transporters in the past decades. Crystal structures of a few plant nutrient transporters and bacterial or fungal homologs were solved, which helped to predict the key residues and transport mechanisms of plant nutrient transporters. Site-directed mutagenesis and yeast complementation studies have also identified functional residues. This review presents a comprehensive list of the functional residues of various macro- and micro-nutrient transporters involved in acquiring and redistributing nutrients in the plant. We have also analyzed the functionally important residues of various plant nutrient transporters with bioinformatics tools. We then draw insights on the possible application of CRISPR/Cas tools to edit key residues to improve nutrient transport and agronomical performance. Utilization of genome editing tools like CRISPR could help develop DNA-free GM crops for quicker approval for field cultivation, contributing to food security amidst global climate change.
DOI: 10.6084/m9.figshare.23903929.v1
title: Functional Residues in Plant Nutrient Transporters: An Opportunity for Gene Editing to Improve Agronomic Traits

description: Plants require essential nutrients for maintaining normal physiological, biochemical, and molecular functions. Plasma membrane-localized nutrient transporters play key roles in acquiring and allocating plant nutrients. Extensive studies have been performed on the functional characterization of key plant nutrient transporters in the past decades. Crystal structures of a few plant nutrient transporters and bacterial or fungal homologs were solved, which helped to predict the key residues and transport mechanisms of plant nutrient transporters. Site-directed mutagenesis and yeast complementation studies have also identified functional residues. This review presents a comprehensive list of the functional residues of various macro- and micro-nutrient transporters involved in acquiring and redistributing nutrients in the plant. We have also analyzed the functionally important residues of various plant nutrient transporters with bioinformatics tools. We then draw insights on the possible application of CRISPR/Cas tools to edit key residues to improve nutrient transport and agronomical performance. Utilization of genome editing tools like CRISPR could help develop DNA-free GM crops for quicker approval for field cultivation, contributing to food security amidst global climate change.
DOI: 10.6084/m9.figshare.21070045
title: Optimum Chebyshev filter with an equalised group delay response

description: The first part of the paper discusses designing of the lowpass filter that gives both a constant group delay over the passband and a sharp cut-off slope, which is one of the most difficult challenges in continuous-time signal processing. Furthermore, equalisation of the group delay distortion of the Chebyshev filter has been performed through a cascade connection of the allpass filters. The Newton–Raphson method is applied for solving the system of nonlinear equations that calculate the allpass filter parameters for equalising the constant group delay in an equiripple sense. This procedure gives nearly symmetric impulse response of the resulting filtering system, as well as a longer duration. In the second part of the paper, two solutions for synthesising polynomial filter transfer functions are discussed: filter with monotonic amplitude characteristic (LSM) and filter using Chebyshev polynomial. For the purpose of comparison, the passband ripple factor of the Chebyshev filter is necessary to be adjusted so that both filters have the same stopband insertion loss, group delay and transient response. It is shown that Chebyshev filter is preferable since the passband magnitude distortions and sensitivity to the element deviation tolerance are significantly superior.
DOI: 10.6084/m9.figshare.21070045.v1
title: Optimum Chebyshev filter with an equalised group delay response

description: The first part of the paper discusses designing of the lowpass filter that gives both a constant group delay over the passband and a sharp cut-off slope, which is one of the most difficult challenges in continuous-time signal processing. Furthermore, equalisation of the group delay distortion of the Chebyshev filter has been performed through a cascade connection of the allpass filters. The Newton–Raphson method is applied for solving the system of nonlinear equations that calculate the allpass filter parameters for equalising the constant group delay in an equiripple sense. This procedure gives nearly symmetric impulse response of the resulting filtering system, as well as a longer duration. In the second part of the paper, two solutions for synthesising polynomial filter transfer functions are discussed: filter with monotonic amplitude characteristic (LSM) and filter using Chebyshev polynomial. For the purpose of comparison, the passband ripple factor of the Chebyshev filter is necessary to be adjusted so that both filters have the same stopband insertion loss, group delay and transient response. It is shown that Chebyshev filter is preferable since the passband magnitude distortions and sensitivity to the element deviation tolerance are significantly superior.
DOI: 10.5517/cc6nzzs
title: CCDC 198926: Experimental Crystal Structure Determination

description: Related Article: K.K.Palkina, N.E.Kuz'mina, V.T.Orlova, A.Yu.Smolentsev|2002|Zh.Neorg.Khim.|47|940|
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/cc6p00w
title: CCDC 198927: Experimental Crystal Structure Determination

description: Related Article: K.K.Palkina, N.E.Kuz'mina, V.T.Orlova, A.Yu.Smolentsev|2002|Zh.Neorg.Khim.|47|940|
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/cc8g6rn
title: CCDC 251991: Experimental Crystal Structure Determination

description: Related Article: R.L.Davidovich, D.Yu.Popov, A.V.Gerasimenko, V.B.Logvinova|2004|Zh.Neorg.Khim.|49|574|
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/cc7b6d4
title: CCDC 218345: Experimental Crystal Structure Determination

description: Related Article: M.D.Ward|2003|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/ccnlbvd
title: CCDC 613454: Experimental Crystal Structure Determination

description: Related Article: T.V.Rybalova, V.M.Karpov, V.E.Platonov, Yu.V.Gatilov|2007|Zh.Strukt.Khim.|48|318|
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/ccxsw9v
title: CCDC 858058: Experimental Crystal Structure Determination

description: Related Article: T.A.Antonenko,L.Yu.Alikberova,D.V.Al’bov,N.S.Rukk|2013|Zh.Strukt.Khim.|54|141|
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/ccxsw8t
title: CCDC 858057: Experimental Crystal Structure Determination

description: Related Article: T.A.Antonenko,L.Yu.Alikberova,D.V.Al’bov,N.S.Rukk|2013|Zh.Strukt.Khim.|54|141|
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.cc1ncxsq
title: CCDC 1530804: Experimental Crystal Structure Determination

description: Related Article: Francisco R. Fortea-Pérez, Miguel Julve, Evgeny V. Dikarev, Alexander S. Filatov, Salah-Eddine Stiriba|2018|Inorg.Chim.Acta|471|788|doi:10.1016/j.ica.2017.12.012
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.cc1zrs1k
title: CCDC 1840099: Experimental Crystal Structure Determination

description: Related Article: P. Lucaioli, E. Nauha, I. Singh, N. Blagden|2018|Cryst.Growth Des.|18|4682|doi:10.1021/acs.cgd.8b00665
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.cc211sb7
title: CCDC 1878548: Experimental Crystal Structure Determination

description: Related Article: Teng Fei, Penghao Lv, Yujia Liu, Chunlin He, Chenghui Sun, Siping Pang|2019|Cryst.Growth Des.|19|2779|doi:10.1021/acs.cgd.8b01923
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.cc21vnh2
title: CCDC 1902454: Experimental Crystal Structure Determination

description: Related Article: Bingbing Guo, Fugang Li, Chiming Wang, Liangliang Zhang, Daofeng Sun|2019|J.Mater.Chem.A|7|13173|doi:10.1039/C9TA03126J
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.cc26w1pv
title: CCDC 2051787: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|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: 10.5517/ccdc.csd.cc2472vb
title: CCDC 1973021: Experimental Crystal Structure Determination

description: Related Article: Nina Podjed, Barbara Modec, María M. Alcaide, Joaquín López-Serrano|2020|RSC Advances|10|18200|doi:10.1039/D0RA03192E
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.cc2fxgg9
title: CCDC 2261681: Experimental Crystal Structure Determination

description: Related Article: Gayatri Gogoi, Rupam J. Sarma|2023|CrystEngComm|25|4582|doi:10.1039/D3CE00481C
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.cc2gld1j
title: CCDC 2281787: Experimental Crystal Structure Determination

description: Related Article: M.A.F. Abdul Manan, D.B. Cordes, A.M.Z. Slawin|2023|IUCrData|8|x230623|doi:10.1107/S2414314623006235
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: 10.25829/7asr-pz67
title: Leaf and fine root NIRS Spectra from old and new (dBEF) monoculture plots in 2020
DOI: 10.34740/kaggle/dsv/6356817
title: AutoXGB
DOI: 10.5258/soton/wp00765
title: Bottom-up gridded population estimates for Nigeria, version 2.1

description: Version 2.1 Bottom-up gridded population estimates for Nigeria.
DOI: 10.5281/zenodo.8026719
title: Proposing more ecologically-valid experiment protocol using YouTube platform - Dataset

description: Uploaded data related to publication "Proposing more ecologically-valid experiment protocol using YouTube platform". Included in the files are: data analysis project, database, video recordings of testers' behaviors.
description: The research leading to these results has received funding from the Norwegian Financial Mechanism 2014-2021 under project 2019/34/H/ST6/00599.
DOI: 10.5281/zenodo.8026718
title: Proposing more ecologically-valid experiment protocol using YouTube platform - Dataset

description: Uploaded data related to publication "Proposing more ecologically-valid experiment protocol using YouTube platform". Included in the files are: data analysis project, database, video recordings of testers' behaviors.
description: The research leading to these results has received funding from the Norwegian Financial Mechanism 2014-2021 under project 2019/34/H/ST6/00599.
DOI: 10.5517/cc8qz31
title: CCDC 260403: Experimental Crystal Structure Determination

description: Related Article: Xia Li, Ying-Quan Zou|2004|Z.Kristallogr.-New Cryst.Struct.|219|275|
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/cctrpfn
title: CCDC 767542: Experimental Crystal Structure Determination

description: Related Article: T.Welzel, D.Weiss, R.Beckert, H.Gorls|2010|Z.Naturforsch.,B:Chem.Sci.|65|833|
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.cc2bxj5z
title: CCDC 2172361: Experimental Crystal Structure Determination

description: Related Article: Eric Sidler, Patrick Zwick, Charlotte Kress, Ksenia Reznikova, Olaf Fuhr, Dieter Fenske, Marcel Mayor|2022|Chem.-Eur.J.|28|e202201764|doi:10.1002/chem.202201764
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: 10.5281/zenodo.8278382
title: GTF30: global 30 m tidal flat annual maps from 2000 to 2022

description: <strong>Basic information:</strong> Tidal flats are an important part of coastal ecosystems and play an important role in shoreline protection and biodiversity maintenance. <strong>The GTF30 are time-series global 30 m tidal flat annual datasets from 2000 to 2022</strong>, covering the <strong>whole global coasts</strong> especially in the high latitides (&gt;60° N), and generated by<strong> an automatic mapping method</strong> from time-series Landsat observations. The details about the automated method can be seen in the work of <strong>Zhang et al. 2023a</strong>. The quantitative accuracy assessment shows that the GTF30 dataset achieves <strong>an overall accuracy of 90.34% and a kappa coefficient of 0.807</strong>. <strong>Notes:</strong> The GTF30 annual maps are divided into 588 5°×5° geographical tiles, and each tile contains 23 bands which denotes the tidal flat maps in 2000, 2001, 2002,..., 2021, 2022. <strong>Usage Policy:</strong> If you plan to use our data in <strong>a scientific analysis paper</strong>, we strongly recommend contacting us in advance to seek opinions, and consider our contributions in the acknowledgments or as co-authors. <strong>Citations:</strong> Zhang, X., Liu, L., Wang, J., Zhao, T., Liu, W., and Chen, X.: Automated mapping of global 30 m tidal flats using time-series Landsat imagery: algorithm and products, <strong>Journal of Remote Sensing</strong>, 2023a. Zhang, X., Liu, L., Zhao, T., Chen, X., Lin, S., Wang, J., Mi, J., and Liu, W.: GWL_FCS30: a global 30 m wetland map with a fine classification system using multi-sourced and time-series remote sensing imagery in 2020, Earth Syst. Sci. Data, 15, 265–293, https://doi.org/10.5194/essd-15-265-2023, 2023b.
DOI: 10.5281/zenodo.8278381
title: GTF30: global 30 m tidal flat annual maps from 2000 to 2022

description: <strong>Basic information:</strong> Tidal flats are an important part of coastal ecosystems and play an important role in shoreline protection and biodiversity maintenance. <strong>The GTF30 are time-series global 30 m tidal flat annual datasets from 2000 to 2022</strong>, covering the <strong>whole global coasts</strong> especially in the high latitides (&gt;60° N), and generated by<strong> an automatic mapping method</strong> from time-series Landsat observations. The details about the automated method can be seen in the work of <strong>Zhang et al. 2023a</strong>. The quantitative accuracy assessment shows that the GTF30 dataset achieves <strong>an overall accuracy of 90.34% and a kappa coefficient of 0.807</strong>. <strong>Notes:</strong> The GTF30 annual maps are divided into 588 5°×5° geographical tiles, and each tile contains 23 bands which denotes the tidal flat maps in 2000, 2001, 2002,..., 2021, 2022. <strong>Usage Policy:</strong> If you plan to use our data in <strong>a scientific analysis paper</strong>, we strongly recommend contacting us in advance to seek opinions, and consider our contributions in the acknowledgments or as co-authors. <strong>Citations:</strong> Zhang, X., Liu, L., Wang, J., Zhao, T., Liu, W., and Chen, X.: Automated mapping of global 30 m tidal flats using time-series Landsat imagery: algorithm and products, <strong>Journal of Remote Sensing</strong>, 2023a. Zhang, X., Liu, L., Zhao, T., Chen, X., Lin, S., Wang, J., Mi, J., and Liu, W.: GWL_FCS30: a global 30 m wetland map with a fine classification system using multi-sourced and time-series remote sensing imagery in 2020, Earth Syst. Sci. Data, 15, 265–293, https://doi.org/10.5194/essd-15-265-2023, 2023b.
DOI: 10.34740/kaggle/ds/3661389
title: Centella Asiatica