cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19410175.v1
title: Mmaris_TableS1_OB.xlsx from The closest lineage of Archaeplastida is revealed by phylogenomics analyses that include <i>Microheliella maris</i>

description: By clarifying the phylogenetic positions of ‘orphan’ protists (unicellular micro-eukaryotes with no affinity to extant species/lineages), we may uncover the novel affiliation between two (or more) major lineages in eukaryotes. <i>Microheliella maris</i> was an orphan protist, which failed to be placed within the previously described species/lineages by pioneering phylogenetic analyses. In this study, we analysed a 319-gene alignment and demonstrated that <i>M. maris</i> represents a basal lineage of one of the major eukaryotic lineages, Cryptista. We here propose a new clade name ‘Pancryptista’ for Cryptista plus <i>M. maris</i>. The 319-gene analyses also indicated that <i>M. maris</i> is a key taxon to recover the monophyly of Archaeplastida and the sister relationship between Archaeplastida and Pancryptista, which is collectively called as ‘CAM clade’ here. Significantly, Cryptophyceae tend to be attracted to Rhodophyta depending on the taxon sampling (ex., in the absence of <i>M. maris</i> and Rhodelphidia) and the particular phylogenetic ‘signal’ most likely hindered the stable recovery of the monophyly of Archaeplastida in previous studies.
DOI: 10.6084/m9.figshare.19410175
title: Mmaris_TableS1_OB.xlsx from The closest lineage of Archaeplastida is revealed by phylogenomics analyses that include <i>Microheliella maris</i>

description: By clarifying the phylogenetic positions of ‘orphan’ protists (unicellular micro-eukaryotes with no affinity to extant species/lineages), we may uncover the novel affiliation between two (or more) major lineages in eukaryotes. <i>Microheliella maris</i> was an orphan protist, which failed to be placed within the previously described species/lineages by pioneering phylogenetic analyses. In this study, we analysed a 319-gene alignment and demonstrated that <i>M. maris</i> represents a basal lineage of one of the major eukaryotic lineages, Cryptista. We here propose a new clade name ‘Pancryptista’ for Cryptista plus <i>M. maris</i>. The 319-gene analyses also indicated that <i>M. maris</i> is a key taxon to recover the monophyly of Archaeplastida and the sister relationship between Archaeplastida and Pancryptista, which is collectively called as ‘CAM clade’ here. Significantly, Cryptophyceae tend to be attracted to Rhodophyta depending on the taxon sampling (ex., in the absence of <i>M. maris</i> and Rhodelphidia) and the particular phylogenetic ‘signal’ most likely hindered the stable recovery of the monophyly of Archaeplastida in previous studies.
DOI: 10.6084/m9.figshare.19410181.v1
title: Mmaris_TableS6_OB.xlsx from The closest lineage of Archaeplastida is revealed by phylogenomics analyses that include <i>Microheliella maris</i>

description: By clarifying the phylogenetic positions of ‘orphan’ protists (unicellular micro-eukaryotes with no affinity to extant species/lineages), we may uncover the novel affiliation between two (or more) major lineages in eukaryotes. <i>Microheliella maris</i> was an orphan protist, which failed to be placed within the previously described species/lineages by pioneering phylogenetic analyses. In this study, we analysed a 319-gene alignment and demonstrated that <i>M. maris</i> represents a basal lineage of one of the major eukaryotic lineages, Cryptista. We here propose a new clade name ‘Pancryptista’ for Cryptista plus <i>M. maris</i>. The 319-gene analyses also indicated that <i>M. maris</i> is a key taxon to recover the monophyly of Archaeplastida and the sister relationship between Archaeplastida and Pancryptista, which is collectively called as ‘CAM clade’ here. Significantly, Cryptophyceae tend to be attracted to Rhodophyta depending on the taxon sampling (ex., in the absence of <i>M. maris</i> and Rhodelphidia) and the particular phylogenetic ‘signal’ most likely hindered the stable recovery of the monophyly of Archaeplastida in previous studies.
DOI: 10.6084/m9.figshare.19410181
title: Mmaris_TableS6_OB.xlsx from The closest lineage of Archaeplastida is revealed by phylogenomics analyses that include <i>Microheliella maris</i>

description: By clarifying the phylogenetic positions of ‘orphan’ protists (unicellular micro-eukaryotes with no affinity to extant species/lineages), we may uncover the novel affiliation between two (or more) major lineages in eukaryotes. <i>Microheliella maris</i> was an orphan protist, which failed to be placed within the previously described species/lineages by pioneering phylogenetic analyses. In this study, we analysed a 319-gene alignment and demonstrated that <i>M. maris</i> represents a basal lineage of one of the major eukaryotic lineages, Cryptista. We here propose a new clade name ‘Pancryptista’ for Cryptista plus <i>M. maris</i>. The 319-gene analyses also indicated that <i>M. maris</i> is a key taxon to recover the monophyly of Archaeplastida and the sister relationship between Archaeplastida and Pancryptista, which is collectively called as ‘CAM clade’ here. Significantly, Cryptophyceae tend to be attracted to Rhodophyta depending on the taxon sampling (ex., in the absence of <i>M. maris</i> and Rhodelphidia) and the particular phylogenetic ‘signal’ most likely hindered the stable recovery of the monophyly of Archaeplastida in previous studies.
DOI: 10.6084/m9.figshare.19410125
title: Evolution of continental lithospheric mantle beneath Hainan Island, China: Evidence from Os-Hf-Sr-Nd isotopes and PGE systematics of peridotite xenoliths

description: Petrography, whole-rock major and minor elements, temperature of Hainan mantle xenoliths, determined by ICP-OES. Major element and trace element concentrations of clinopyroxene and orthopyroxene separates from Hainan mantle peridotites are analyzed by EPMA and LA-ICP-MS, respectively.Highly siderophile element abundances and Re-Os isotopic compositions of whole-rock and olivine separates, analyzed by HR-ICP-MS and N-TIMS, respectively.Sr-Nd-Hf isotopic compositions of clinopyroxene and coexisting orthopyroxene separates, as well as calculated whole-rock compositions, determined by MC-ICP-MS.Major oxides of olivine and spinel separates from Hainan mantle xenoliths.These dataset can help to precisely characterize the deep processes (melting and metasomatism) and constrain the timing of melt extraction.
DOI: 10.6084/m9.figshare.19410125.v1
title: Evolution of continental lithospheric mantle beneath Hainan Island, China: Evidence from Os-Hf-Sr-Nd isotopes and PGE systematics of peridotite xenoliths

description: Petrography, whole-rock major and minor elements, temperature of Hainan mantle xenoliths, determined by ICP-OES. Major element and trace element concentrations of clinopyroxene and orthopyroxene separates from Hainan mantle peridotites are analyzed by EPMA and LA-ICP-MS, respectively.Highly siderophile element abundances and Re-Os isotopic compositions of whole-rock and olivine separates, analyzed by HR-ICP-MS and N-TIMS, respectively.Sr-Nd-Hf isotopic compositions of clinopyroxene and coexisting orthopyroxene separates, as well as calculated whole-rock compositions, determined by MC-ICP-MS.Major oxides of olivine and spinel separates from Hainan mantle xenoliths.These dataset can help to precisely characterize the deep processes (melting and metasomatism) and constrain the timing of melt extraction.
DOI: 10.34740/kaggle/dsv/3351117
title: Russian Invasion of Ukraine
DOI: 10.5281/zenodo.6380732
title: TianqLiu/Robust-stochastic-facility-location-sensitivity-analysis-and-exact-solution: Release for Zenodo

description: The data in this repository are used in the research reported on in the paper "Robust Stochastic Facility Location: Sensitivity Analysis and Exact Solution" by T. Liu, F. Saldanha-da-Gama, S. Wang and Y. Mao.
DOI: 10.5281/zenodo.6380731
title: TianqLiu/Robust-stochastic-facility-location-sensitivity-analysis-and-exact-solution: Release for Zenodo

description: The data in this repository are used in the research reported on in the paper "Robust Stochastic Facility Location: Sensitivity Analysis and Exact Solution" by T. Liu, F. Saldanha-da-Gama, S. Wang and Y. Mao.
DOI: 10.5519/qd.auogc4d2
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4 records)
DOI: 10.34740/kaggle/dsv/3351227
title: AutoXGB
DOI: 10.5281/zenodo.6381537
title: Data set for the journal article "Improving the lifetime of hybrid CoPc@MWCNT catalysts for selective electrochemical CO2-to-CO conversion"

description: In the article "Improving the lifetime of hybrid CoPc@MWCNT catalysts for selective electrochemical CO<sub>2</sub>-to-CO conversion" we demonstrated that Fe impurities in a hybrid CoPc@MWCNT catalyst lead to its performance deterioration during long-term CO<sub>2</sub> electrolysis. Here we present the dataset the work was based on. The data are divided into four groups:<br> (i) Current transients and gas chromatography data for short-term electrolysis at different potentials (in an excel file we give the numbers of chromatograms for each potential; current transients are given as an origin file with datasets and plots inside)<br> (ii) Current transients and gas chromatography data for long-term electrolysis at different potentials and with different catalysts (in respective excel files we give the numbers of chromatograms; figure numbers are given in the folder names)<br> (iii) Electron microscopy images and EDX datasets (the images and datasets are collected in the folders with respective figure numbers used in the paper)<br> (iv) Calibration curves for ICP-MS
DOI: 10.5281/zenodo.6381536
title: Data set for the journal article "Improving the lifetime of hybrid CoPc@MWCNT catalysts for selective electrochemical CO2-to-CO conversion"

description: In the article "Improving the lifetime of hybrid CoPc@MWCNT catalysts for selective electrochemical CO<sub>2</sub>-to-CO conversion" we demonstrated that Fe impurities in a hybrid CoPc@MWCNT catalyst lead to its performance deterioration during long-term CO<sub>2</sub> electrolysis. Here we present the dataset the work was based on. The data are divided into four groups:<br> (i) Current transients and gas chromatography data for short-term electrolysis at different potentials (in an excel file we give the numbers of chromatograms for each potential; current transients are given as an origin file with datasets and plots inside)<br> (ii) Current transients and gas chromatography data for long-term electrolysis at different potentials and with different catalysts (in respective excel files we give the numbers of chromatograms; figure numbers are given in the folder names)<br> (iii) Electron microscopy images and EDX datasets (the images and datasets are collected in the folders with respective figure numbers used in the paper)<br> (iv) Calibration curves for ICP-MS
DOI: 10.25442/hku.19407884
title: EAF

description: The Event-based Autofocus Dataset (EAD):We provide all datasets in two formats: MAT file for Matlab and aedat4 for DV. <br>We recommend using the aedat4 files since they can be loaded easily using DV. The MAT files are converted from aedar4 for our code. We have included time-synchronized focal positions in the MAT file. <br>DV: https://inivation.gitlab.io/dv/dv-docs/docs/getting-started/<br>You can directly use it or use the `focus_position.txt`. The format is:timestamp_focal_position position...<br><br>We also include the png file for visualization. The png file is named by its timestamp. <br>`gt_focus_points.txt` is the ground truth focal position after carefully calibration. The format is:sequence_name position...<br>Dataset format:<br>&gt; gt_focus_points.txt&gt; - sequence name&gt; images/***.png&gt; ***.aedat4&gt; ***.mat&gt; focus_position.txt<br>BibTexPlease cite our work if you use the data .<br>@inproceedings{lin2022autofocus, title={Autofocus for Event Cameras}, author={Shijie, Lin and Yinqiang, Zhang and Lei, Yu and Bin, Zhou and Xiaowei, Luo and Jia, Pan}, booktitle={The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2022},}<br>
DOI: 10.25442/hku.19407884.v1
title: EAF

description: The Event-based Autofocus Dataset (EAD):We provide all datasets in two formats: MAT file for Matlab and aedat4 for DV. <br>We recommend using the aedat4 files since they can be loaded easily using DV. The MAT files are converted from aedar4 for our code. We have included time-synchronized focal positions in the MAT file. <br>DV: https://inivation.gitlab.io/dv/dv-docs/docs/getting-started/<br>You can directly use it or use the `focus_position.txt`. The format is:timestamp_focal_position position...<br><br>We also include the png file for visualization. The png file is named by its timestamp. <br>`gt_focus_points.txt` is the ground truth focal position after carefully calibration. The format is:sequence_name position...<br>Dataset format:<br>&gt; gt_focus_points.txt&gt; - sequence name&gt; images/***.png&gt; ***.aedat4&gt; ***.mat&gt; focus_position.txt<br>BibTexPlease cite our work if you use the data .<br>@inproceedings{lin2022autofocus, title={Autofocus for Event Cameras}, author={Shijie, Lin and Yinqiang, Zhang and Lei, Yu and Bin, Zhou and Xiaowei, Luo and Jia, Pan}, booktitle={The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2022},}<br>
DOI: 10.6084/m9.figshare.19228782.v1
title: Revisiting the resazurin-based sensing of cellular viability: widening the application horizon

description: <b>Resazurin assay validation in multiple cell lines under normoxic or hypoxic conditions, and/or following treatments with cytotoxic compounds, cytostatic compounds, or radiation</b>. Raw data used for compiling Figures 1-11 and Supplementary Figures S1-S15 from the manuscript submitted for publication in MDPI Biosensors.
DOI: 10.6084/m9.figshare.19228782
title: Revisiting the resazurin-based sensing of cellular viability: widening the application horizon

description: <b>Resazurin assay validation in multiple cell lines under normoxic or hypoxic conditions, and/or following treatments with cytotoxic compounds, cytostatic compounds, or radiation</b>. Raw data used for compiling Figures 1-11 and Supplementary Figures S1-S15 from the manuscript submitted for publication in MDPI Biosensors.
DOI: 10.5281/zenodo.6381683
title: Salt flat microbial diversity and population structure along a salinity gradient

description: In this study, we examined the abundance of microbial communities in coastal sabkha and sabkha-shore regions in Abu Dhabi, UAE using 16s rDNA, and performed whole-genome metagenome analysis to elucidate the genetic heterogeneity of microbial species. Based on the 16s rDNA based prokaryotic microbial profile, we identified unusual coastal sabkha-specific microbial communities, consistent with the whole genome metagenome analysis. Out of 225 assembled microbial metagenomes, we analyzed 82 of the most abundant assembled genomes at the order and class taxonomic levels. We observed diversity was higher for some microbial populations on the inner regions of the sabkha as well as outside it, although the overall population diversity was higher within the sabkha. Our results show genetic structure over local spatial scales, different level of homologous recombination for different species as well as gene-specific selective sweeps. These results pave the way to understanding the ecological roles, salt stress tolerance mechanisms, and potential applications of sabkha microbial genes.
DOI: 10.5281/zenodo.6381682
title: Salt flat microbial diversity and population structure along a salinity gradient

description: In this study, we examined the abundance of microbial communities in coastal sabkha and sabkha-shore regions in Abu Dhabi, UAE using 16s rDNA, and performed whole-genome metagenome analysis to elucidate the genetic heterogeneity of microbial species. Based on the 16s rDNA based prokaryotic microbial profile, we identified unusual coastal sabkha-specific microbial communities, consistent with the whole genome metagenome analysis. Out of 225 assembled microbial metagenomes, we analyzed 82 of the most abundant assembled genomes at the order and class taxonomic levels. We observed diversity was higher for some microbial populations on the inner regions of the sabkha as well as outside it, although the overall population diversity was higher within the sabkha. Our results show genetic structure over local spatial scales, different level of homologous recombination for different species as well as gene-specific selective sweeps. These results pave the way to understanding the ecological roles, salt stress tolerance mechanisms, and potential applications of sabkha microbial genes.
DOI: 10.6084/m9.figshare.13891486
title: Medical waste: Current challenges and future opportunities for sustainable management

description: Countries worldwide are struggling to develop strategies and infrastructure for appropriate disposal of the increasing medical waste generated by the COVID-19 pandemic. This study examines the available knowledge and current practices in medical/healthcare waste management worldwide, particularly in countries with transitional economies, including the dependence of medical waste generation rate on various socioeconomic and environmental parameters. Here, we conducted a meta-analysis of medical and healthcare waste management practices in 78 countries. We identified impediments and challenges facing the integration of medical waste management into a prospective circular economy according to statistical correlations with human development index (HDI), life expectancy (LE), healthcare expenditure (HE) per capita of gross domestic product (GDP), and environmental performance index (EPI). The results highlight the importance of knowledge and awareness of best practices for infection and injury prevention for waste management among workers. An average of 38.9% of medical waste was segregated for proper management, and only 41% of workers were trained in-service for medical waste disposal. Plastic materials constituted approximately 35% of medical waste, presenting an opportunity for sustainable resource recovery and recycling. It is imperative for all countries to adopt environmentally sustainable management of medical waste to prevent catastrophic stockpiling of infectious waste during and after pandemics. Additionally, we present an outline for future studies on medical waste generation rate and various socioeconomic and environmental parameters that should be investigated in future work to promulgate an inventory of the database for sustainable management of medical/healthcare waste.
DOI: 10.6084/m9.figshare.13891486.v1
title: Medical waste: Current challenges and future opportunities for sustainable management

description: Countries worldwide are struggling to develop strategies and infrastructure for appropriate disposal of the increasing medical waste generated by the COVID-19 pandemic. This study examines the available knowledge and current practices in medical/healthcare waste management worldwide, particularly in countries with transitional economies, including the dependence of medical waste generation rate on various socioeconomic and environmental parameters. Here, we conducted a meta-analysis of medical and healthcare waste management practices in 78 countries. We identified impediments and challenges facing the integration of medical waste management into a prospective circular economy according to statistical correlations with human development index (HDI), life expectancy (LE), healthcare expenditure (HE) per capita of gross domestic product (GDP), and environmental performance index (EPI). The results highlight the importance of knowledge and awareness of best practices for infection and injury prevention for waste management among workers. An average of 38.9% of medical waste was segregated for proper management, and only 41% of workers were trained in-service for medical waste disposal. Plastic materials constituted approximately 35% of medical waste, presenting an opportunity for sustainable resource recovery and recycling. It is imperative for all countries to adopt environmentally sustainable management of medical waste to prevent catastrophic stockpiling of infectious waste during and after pandemics. Additionally, we present an outline for future studies on medical waste generation rate and various socioeconomic and environmental parameters that should be investigated in future work to promulgate an inventory of the database for sustainable management of medical/healthcare waste.
DOI: 10.5281/zenodo.6381287
title: Synthetic memory circuits for programmable cell reconfiguration in plants

description: The data supporting the publication: Synthetic memory circuits for programmable cell reconfiguration in plants
description: {"references": ["Lloyd et al. (2022) Synthetic memory circuits for programmable cell reconfiguration in plants. bioRxiv"]}
DOI: 10.6084/m9.figshare.19410389
title: data.xlsx

description: health economy<br>
DOI: 10.6084/m9.figshare.19410389.v1
title: data.xlsx

description: health economy<br>
DOI: 10.5525/gla.researchdata.1264
title: A metastable amorphous intermediate is responsible for laser-induced nucleation of glycine

description: Data used for a publication with the same name in JACS.
DOI: 10.6084/m9.figshare.19403624.v1
title: data on case_Control_cohort.xlsx

description: The data set is on the contributors to neonatal HAIs from an Indian NICU of a tertiary care teaching hospital.
DOI: 10.5523/bris.8jzw1c0jzjqj2jclybysvm0xj
title: afferents-tactile-gratings-jrsi2022
title: Artificial SA-I and RA-I afferents for tactile sensing of ridges and gratings

description: Data from paper: Pestell N, Griffith T, Lepora NF. 2022 Artificial SA-I and RA-I afferents for tactile sensing of ridges and gratings. J. R. Soc. Interface 20210822.
DOI: 10.5281/zenodo.6376096
title: MDIW-13: New Database and Benchmark for Script Identification

description: Script identification is a necessary step in some applications involving document analysis in a multi-script and multi-language environment. This paper provides a new database for benchmarking script identification algorithms, which contains both printed and handwritten documents collected from a wide variety of scripts, such as Arabic, Bengali (Bangla), Gujarati, Gurmukhi, Devanagari, Japanese, Kannada, Malayalam, Oriya, Roman, Tamil, Telugu, and Thai. The dataset consists of 1,135 documents scanned from local newspapers and handwritten letters and notes from different native writers. Further, these documents are segmented into lines and words, comprising a total of 13,979 and 86,655 lines and words, respectively, in the dataset. Easy-to-go benchmarks are proposed with handcrafted and deep learning methods. The benchmark includes results at the document, line, and word levels with printed and handwritten documents. Results of script identification independent of the document/line/word level and independent of the printed/handwritten letters are also given.<br> <strong>https://www.dropbox.com/s/vtmy0l4gjxun0oe/Multiscript_SIW_Database_Feb25_acceptedPaper.zip?dl=0</strong> Please, cite our work if you find useful the database: M. A. Ferrer, A. Das, M. Diaz, A. Morales, C. Carmona-Duarte, U. Pal (2022), "MDIW-13: New Database and Benchmark for Script Identification", Multimedia Tools and Applications, Pages 1-14. Accepted A. Das, M. A. Ferrer, A. Morales, M. Diaz, U. Pal, et al. "SIW 2021: ICDAR Competition on Script Identification in the Wild". 16th International Conference on Document Analysis and Recognition (ICDAR 2021). Lecture Notes in Computer Science, vol 12824. Springer. Sep. 5-10, 2021, Lausanne, Switzerland, pp. 738-753. doi: 10.1007/978-3-030-86337-1_49