cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5639082
title: Inputs and results of "A quantitative and qualitative citation analysis to retracted articles in the humanities domain"

description: This repository contains the datasets and visualizations generated in our work: <strong>"A quantitative and qualitative citation analysis to retracted articles in the humanities domain"</strong>. <strong>Note:</strong> the data are all contained inside the <strong><em>data.zip</em> </strong>file. You need to unzip the container to get access to all the files and directories listed below. The data (citations) gathered accompanied by their annotated characteristics are stored in <strong><em>data/</em>:</strong> <em>cits.csv: </em>a dataset containing all the entities (rows in the CSV) which have cited a retracted article in the humanities domain. Each citing entity (row) is accompanied by a set of features (columns) that characterizes it.<br> <strong>Note: </strong>this dataset is licensed under a Creative Commons public domain dedication (CC0). <em>content.csv: </em>a dataset containing the abstracts and the in-text citation contexts of all the citing entities gathered.<br> <strong>Note: </strong>the data keep their original license (the one provided by their publisher). This dataset is provided in order to favor the reproducibility of the results obtained in our work. <strong>Topic modeling</strong> We run a topic modeling analysis on the textual features gathered (i.e. abstracts and citation contexts). The results are stored inside the <em><strong>topic_model/</strong></em> directory. The topic modeling has been done using MITAO, a tool for mashing up automatic text analysis tools and creating a completely customizable visual workflow [1]. The directory <em><strong>workflow/ </strong></em>contains the workflows used in MITAO. The topic modeling results for each textual feature are separated into two different folders, <em><strong>abstract/</strong></em> for the abstracts, and <em><strong>cits_context/</strong></em> for the in-text citation contexts. Both the directories contain the following directories/files: <em><strong>datasets_and_views/: </strong></em>the datasets and visualizations generated using MITAO. <em><strong>ldamodel_corpus_dict/: </strong></em>it contains the dictionary, the LDA topic model, and the tokenized and vectorized corpus. <em><strong>rawdata/: </strong></em>the textual collection, metadata, and stopwords used as input in the workflow of MITAO <strong>References</strong> [1] Ferri, P., Heibi, I., Pareschi, L., & Peroni, S. (2020). MITAO: A User Friendly and Modular Software for Topic Modelling [JD]. PuntOorg International Journal, 5(2), 135–149. https://doi.org/10.19245/25.05.pij.5.2.3
DOI: 10.6084/m9.figshare.16918519
title: Data set for publication in Applied Sciences

description: Data set corresponding to the figures shown in the submitted paper "Recent advances in characterizing water weakening and fluid-rock interaction processes in porous rocks"by Davide Geremia, Christian David, Rachid Ismail and Alae El Haitami
DOI: 10.5281/zenodo.5638999
title: Dataset variants used in "Task-Driven Knowledge Graph Filtering Improves Prioritizing Drugs for Repurposing"

description: This file contains all datasets and variants thereof used in the linked paper. We do not take credit for constructing the datasets, which has been done by the respective original authors (https://github.com/hetio/hetionet, https://github.com/gnn4dr/DRKG). For our work we produced modified versions (called "subset" in the file) by applying our metapath based filtering approach. For validation purposed we also constructed ablation versions where one specific type of entities is missing (i.e. "nogene", "noside", etc).
description: {"references": ["Ioannidis et al., 2020. DRKG - Drug Repurposing Knowledge Graph for Covid-19. https://github.com/gnn4dr/DRKG/", "Himmelstein et al., 2017. Systematic integration of biomedical knowledge prioritizes drugs for repurposing. eLife 2017;6:e26726 DOI: 10.7554/eLife.26726"]}
DOI: 10.5281/zenodo.5638998
title: Dataset variants used in "Task-Driven Knowledge Graph Filtering Improves Prioritizing Drugs for Repurposing"

description: This file contains all datasets and variants thereof used in the linked paper. We do not take credit for constructing the datasets, which has been done by the respective original authors (https://github.com/hetio/hetionet, https://github.com/gnn4dr/DRKG). For our work we produced modified versions (called "subset" in the file) by applying our metapath based filtering approach. For validation purposed we also constructed ablation versions where one specific type of entities is missing (i.e. "nogene", "noside", etc).
description: {"references": ["Ioannidis et al., 2020. DRKG - Drug Repurposing Knowledge Graph for Covid-19. https://github.com/gnn4dr/DRKG/", "Himmelstein et al., 2017. Systematic integration of biomedical knowledge prioritizes drugs for repurposing. eLife 2017;6:e26726 DOI: 10.7554/eLife.26726"]}
DOI: 10.5281/zenodo.5639021
title: Out-of-equilibrium criticalities in graphene superlattices

description: This dataset contains data from the paper "Out-of-equilibrium criticalities in graphene superlattices"
DOI: 10.5281/zenodo.5639020
title: Out-of-equilibrium criticalities in graphene superlattices

description: This dataset contains data from the paper "Out-of-equilibrium criticalities in graphene superlattices"
DOI: 10.15468/g9942v
title: Species boundaries and phylogeographic patterns in new species of Nannoniscus (Janiroidea: Nannoniscidae) from the equatorial Pacific nodule province inferred from mtDNA and morphology

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kaiser, Stefanie, Kihara, Terue Cristina, Brix, Saskia, Mohrbeck, Inga, Janssen, Annika, Jennings, Robert M. (2021): Species boundaries and phylogeographic patterns in new species of Nannoniscus (Janiroidea: Nannoniscidae) from the equatorial Pacific nodule province inferred from mtDNA and morphology. Zoological Journal of the Linnean Society 193: 1020-1071, DOI: https://doi.org/10.1093/zoolinnean/zlaa174
DOI: 10.25721/6hzp-xa71
title: Complainte du Vendredi Saint
DOI: 10.5281/zenodo.5639046
title: Micropulse Lidar Data

description: The lidar data were measured over Beijing, a megacity located in the North China Plain. Due to incomplete laser pulse corrections, the near-surface lidar blind zone is ∼0.15 km. Background subtraction, saturation, after-pulse, overlap, and range corrections are applied to raw MPL data to calculate the normalized signals. For the correction and quality control, the readers may contact Tianning Su (tianning@umd.edu).
DOI: 10.5281/zenodo.5639045
title: Micropulse Lidar Data

description: The lidar data were measured over Beijing, a megacity located in the North China Plain. Due to incomplete laser pulse corrections, the near-surface lidar blind zone is ∼0.15 km. Background subtraction, saturation, after-pulse, overlap, and range corrections are applied to raw MPL data to calculate the normalized signals. For the correction and quality control, the readers may contact Tianning Su (tianning@umd.edu).
DOI: 10.5517/ccdc.csd.cc27z6dv
title: CCDC 2084607: Experimental Crystal Structure Determination

description: Related Article: Hiroaki Ohno|2021|CSD Communication|||
description: Related Article: Luca C. Greiner, Shinsuke Inuki, Norihito Arichi, Shinya Oishi, Rikito Suzuki, Tomohiro Iwai, Masaya Sawamura, A. Stephen K. Hashmi, Hiroaki Ohno|2021|Chem.-Eur.J.|27|12992|doi:10.1002/chem.202101824
DOI: 10.5517/ccdc.csd.cc27z6fw
title: CCDC 2084608: Experimental Crystal Structure Determination

description: Related Article: Hiroaki Ohno|2021|CSD Communication|||
description: Related Article: Luca C. Greiner, Shinsuke Inuki, Norihito Arichi, Shinya Oishi, Rikito Suzuki, Tomohiro Iwai, Masaya Sawamura, A. Stephen K. Hashmi, Hiroaki Ohno|2021|Chem.-Eur.J.|27|12992|doi:10.1002/chem.202101824
DOI: 10.6073/pasta/e0c3aaa9b49478f9ebea8fce93b14fe7
title: Simulated forest dynamics (2016-2100) for six future climate-fire scenarios and five representative landscapes in Greater Yellowstone, USA

description: We simulated fire (incorporating fuels feedbacks) and forest dynamics on five landscapes spanning the Greater Yellowstone Ecosystem (GYE) to ask: (1) How and where are forest landscapes likely to change with 21st-century warming and fire activity? (2) Are future forest changes gradual or abrupt, and do forest attributes change synchronously or sequentially? (3) Can forest declines be averted by mid-21st-century stabilization of atmospheric greenhouse gas (GHG) concentrations? We used the spatially explicit individual-based forest model iLand to track multiple attributes (forest extent, stand age, tree density, basal area, aboveground carbon stocks, dominant forest types, species occupancy) through 2100 for six climate scenarios. The five study landscapes are representative of dominant forest types and environmental gradients of the Northern Rockies; collectively, they encompass nearly 300,000 ha, of which 279,488 ha are potentially stockable with trees. This data set contains annual landscape-level output data for simulations to 2100 with 6 climate scenarios (3 general circulation models x 2 representative concentration pathways) x 5 landscapes x 20 iterations of simulated fires. We include the data and R scripts used for the analyses of abrupt change in the publication associated with these data; all other analyses used standard functions in R.
DOI: 10.15781/eynk-k530
title: First Detection of the Amphibian Chytrid Fungus Batrachochytrium dendrobatidiae in Guadeloupe: Implications for Conservation
DOI: 10.5281/zenodo.5639230
title: Novel Peptide-Based PET Probe for Non-invasive Imaging of C-X-C Chemokine Receptor Type 4 (CXCR4) in Tumors

description: These are RAW data datasets of the following final paper Trotta, A.M., Aurilio, M., D'Alterio, C., Ieranò, C., Di Martino, D., Barbieri, A., Luciano, A., Gaballo, P., Santagata, S., Portella, L., Tomassi, S., Marinelli, L., Sementa, D., Novellino, E., Lastoria, S., Scala, S., Schottelius, M., Di Maro, S. Novel Peptide-Based PET Probe for Non-invasive Imaging of C-X-C Chemokine Receptor Type 4 (CXCR4) in Tumors, (2021) Journal of Medicinal Chemistry, 64 (6), pp. 3449-3461. ISSN 00222623 https://doi.org/10.1021/acs.jmedchem.1c00066 Abstract The recently reported CXCR4 antagonist 3 (Ac-Arg-Ala-[DCys-Arg-2Nal-His-Pen]-CO2H) was investigated as a molecular scaffold for a CXCR4-targeted positron emission tomography (PET) tracer. Toward this end, 3 was functionalized with 1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid (DOTA) and 1,4,7-triazacyclononanetriacetic acid (NOTA). On the basis of convincing affinity data, both tracers, [68Ga]NOTA analogue ([68Ga]-5) and [68Ga]DOTA analogue ([68Ga]-4), were evaluated for PET imaging in “in vivo” models of CHO-hCXCR4 and Daudi lymphoma cells. PET imaging and biodistribution studies revealed higher CXCR4-specific tumor uptake and high tumor/background ratios for the [68Ga]NOTA analogue ([68Ga]-5) than for the [68Ga]DOTA analogue ([68Ga]-4) in both in vivo models. Moreover, [68Ga]-4 and [68Ga]-5 displayed rapid clearance and very low levels of accumulation in all nontarget tissues but the kidney. Although the high tumor/background ratios observed in the mouse xenograft model could partially derive from the hCXCR4 selectivity of [68Ga]-5, our results encourage its translation into a clinical context as a novel peptide-based tracer for imaging of CXCR4-overexpressing tumors.
DOI: 10.5281/zenodo.5639229
title: Novel Peptide-Based PET Probe for Non-invasive Imaging of C-X-C Chemokine Receptor Type 4 (CXCR4) in Tumors

description: These are RAW data datasets of the following final paper Trotta, A.M., Aurilio, M., D'Alterio, C., Ieranò, C., Di Martino, D., Barbieri, A., Luciano, A., Gaballo, P., Santagata, S., Portella, L., Tomassi, S., Marinelli, L., Sementa, D., Novellino, E., Lastoria, S., Scala, S., Schottelius, M., Di Maro, S. Novel Peptide-Based PET Probe for Non-invasive Imaging of C-X-C Chemokine Receptor Type 4 (CXCR4) in Tumors, (2021) Journal of Medicinal Chemistry, 64 (6), pp. 3449-3461. ISSN 00222623 https://doi.org/10.1021/acs.jmedchem.1c00066 Abstract The recently reported CXCR4 antagonist 3 (Ac-Arg-Ala-[DCys-Arg-2Nal-His-Pen]-CO2H) was investigated as a molecular scaffold for a CXCR4-targeted positron emission tomography (PET) tracer. Toward this end, 3 was functionalized with 1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid (DOTA) and 1,4,7-triazacyclononanetriacetic acid (NOTA). On the basis of convincing affinity data, both tracers, [68Ga]NOTA analogue ([68Ga]-5) and [68Ga]DOTA analogue ([68Ga]-4), were evaluated for PET imaging in “in vivo” models of CHO-hCXCR4 and Daudi lymphoma cells. PET imaging and biodistribution studies revealed higher CXCR4-specific tumor uptake and high tumor/background ratios for the [68Ga]NOTA analogue ([68Ga]-5) than for the [68Ga]DOTA analogue ([68Ga]-4) in both in vivo models. Moreover, [68Ga]-4 and [68Ga]-5 displayed rapid clearance and very low levels of accumulation in all nontarget tissues but the kidney. Although the high tumor/background ratios observed in the mouse xenograft model could partially derive from the hCXCR4 selectivity of [68Ga]-5, our results encourage its translation into a clinical context as a novel peptide-based tracer for imaging of CXCR4-overexpressing tumors.
DOI: 10.6084/m9.figshare.16918774
title: Source data for all figures in the manuscript entitled 'The barley immune receptor Mla recognizes multiple pathogens and contributes to host range dynamics'

description: Source data including phenotypic data, raw images, cropped images, dendograms, phylogenetic trees, scripts, and other associated data for the manuscript entitled 'The barley immune receptor Mla recognizes multiple pathogens and contributes to host range dynamics'. The data is structured in individual folders for each figure (main and supplementary).<br>
DOI: 10.5281/zenodo.5639318
title: European Building Vulnerability Data Repository

description: A repository for the European vulnerability database developed as part of the European Seismic Risk Model 2020 (ESRM20). More information available in the following paper: Crowley et al. (2021) “Open models and software for assessing the vulnerability of the European building stock,” COMPDYN 2021, 8th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, Greece.
DOI: 10.5281/zenodo.5609702
title: mosartwmpy validation data 1981 - 1982

description: Validation data for testing the mosartwmpy model: https://github.com/IMMM-SFA/mosartwmpy
DOI: 10.5281/zenodo.4539692
title: mosartwmpy validation data 1981 - 1982

description: Validation data for testing the mosartwmpy model: https://github.com/IMMM-SFA/mosartwmpy
DOI: 10.5281/zenodo.5639076
title: Multi-Mission Phase Space Density Observations - 6 - 10 September 2017

description: FILE DESCRIPTION:<br> Archived data for the manuscript “Resolving Magnetopause Shadowing Using Multi-Mission Measurements of Phase Space Density” Staples et al., submitted to the Journal of Geophysical Research: Space Physics (manuscript archived via Earth and Space Science Open Archive ESSOAr<strong>;</strong> Washington, Mar 11, 2021. DOI:10.1002/essoar.10506455.1). <br> These files contain multi-mission phase space density measurements including, Van Allen Probes, GOES 13, 14, 15, GPS, MMS, and THEMIS, computed in adiabatic coordinates. All data is between 6 - 10 September 2017. For detailed description of the method used in the computation of this data, see section 2.1 of the submitted manuscript.<br> <br> The THEMIS, Van Allen Probe, MMS, and GOES data used in computations is publicly available via http://cdaweb.gsfc.nasa.gov <br> The GPS data is available via https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/ FILES: 'allsc_psd_mu400.txt' - electron PSD from all spacecraft listed above, where µ = 390 to 410 MeV/G and <em>K</em> = 0.075 to 0.125 G<sup>0.5</sup>R<sub>E</sub> 'allsc_psd_mu900.txt' - electron PSD from all spacecraft listed above, where µ = 877.5 to 922.5 MeV/G and <em>K</em> = 0.075 to 0.125 G<sup>0.5</sup>R<sub>E</sub> 'rbsp_psd_mu400.txt' - electron PSD from the Van Allen probes, where µ = 350 to 450 MeV/G and <em>K</em> = 0.075 to 0.125 G<sup>0.5</sup>R<sub>E</sub> 'rbsp_psd_mu400.txt' - electron PSD from the Van Allen probes, where µ = 850 to 950 MeV/G and <em>K</em> = 0.075 to 0.125 G<sup>0.5</sup>R<sub>E</sub> <br> DATA OWNER: Adam Kellerman<br> DATA PREPERATION: Frances Staples <br> CONTACT:<br> Adam Kellerman: akellerman@epss.ucla.edu<br> Frances Staples: frances.staples@ucl.ac.uk<br>
description: A. C. K. was supported by NASA grants NNX16AG78G, 80NSSC20K1402, and 80NSSC20K1281. F. A. S. was supported by a Science and Technology Funding Council (STFC) studentship.
DOI: 10.5281/zenodo.5639075
title: Multi-Mission Phase Space Density Observations - 6 - 10 September 2017

description: FILE DESCRIPTION:<br> Archived data for the manuscript “Resolving Magnetopause Shadowing Using Multi-Mission Measurements of Phase Space Density” Staples et al., submitted to the Journal of Geophysical Research: Space Physics (manuscript archived via Earth and Space Science Open Archive ESSOAr<strong>;</strong> Washington, Mar 11, 2021. DOI:10.1002/essoar.10506455.1). <br> These files contain multi-mission phase space density measurements including, Van Allen Probes, GOES 13, 14, 15, GPS, MMS, and THEMIS, computed in adiabatic coordinates. All data is between 6 - 10 September 2017. For detailed description of the method used in the computation of this data, see section 2.1 of the submitted manuscript.<br> <br> The THEMIS, Van Allen Probe, MMS, and GOES data used in computations is publicly available via http://cdaweb.gsfc.nasa.gov <br> The GPS data is available via https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/ FILES: 'allsc_psd_mu400.txt' - electron PSD from all spacecraft listed above, where µ = 390 to 410 MeV/G and <em>K</em> = 0.075 to 0.125 G<sup>0.5</sup>R<sub>E</sub> 'allsc_psd_mu900.txt' - electron PSD from all spacecraft listed above, where µ = 877.5 to 922.5 MeV/G and <em>K</em> = 0.075 to 0.125 G<sup>0.5</sup>R<sub>E</sub> 'rbsp_psd_mu400.txt' - electron PSD from the Van Allen probes, where µ = 350 to 450 MeV/G and <em>K</em> = 0.075 to 0.125 G<sup>0.5</sup>R<sub>E</sub> 'rbsp_psd_mu400.txt' - electron PSD from the Van Allen probes, where µ = 850 to 950 MeV/G and <em>K</em> = 0.075 to 0.125 G<sup>0.5</sup>R<sub>E</sub> <br> DATA OWNER: Adam Kellerman<br> DATA PREPERATION: Frances Staples <br> CONTACT:<br> Adam Kellerman: akellerman@epss.ucla.edu<br> Frances Staples: frances.staples@ucl.ac.uk<br>
description: A. C. K. was supported by NASA grants NNX16AG78G, 80NSSC20K1402, and 80NSSC20K1281. F. A. S. was supported by a Science and Technology Funding Council (STFC) studentship.
DOI: 10.6084/m9.figshare.16611672
title: Multicomponent synthesis, <i>in vitro</i> cytotoxic evaluation and <i>molecular modelling</i> studies of polyfunctionalized pyrazolo[3,4-<i>b</i>]pyridine derivatives against three human cancer cell lines

description: A series of diversely polyfunctionalized pyrazolo[3,4-<i>b</i>]pyridines were synthesized by the multicomponent reaction of phenyl/benzothiazolylhydrazine and 3-oxo-3-arylpropanenitrile with 1,3-diketones under solvent-free and solvent-mediated conditions. Nineteen pyrazolo[3,4-<i>b</i>]pyridine derivatives were screened for their anti-cancer activity against three human cancer cell lines namely NALM-6, SB-ALL and MCF-7. Non-fluorinated 1-(benzothiazolyl)pyrazolo[3,4-<i>b</i>]pyridines (<b>6a</b>–<b>d</b>) displayed better cytotoxicity results as compared to other tested derivatives. The compound 1-(benzothiazolyl)-4,6-dimethyl-3-(4-chlorophenyl)pyrazolo[3,4-<i>b</i>]pyridine, <b>6b</b>, was identified as the most active derivative with 53% cell growth inhibition nearly equal to the standard drug doxorubicin (58%), in close agreement to drug-likeness and drug score predictions. Among the fluorinated derivatives, compound 2-(3-(4-chlorophenyl)-4-methyl-6-(trifluoromethyl)-1<i>H</i>-pyrazolo[3,4-<i>b</i>]pyridin-1-yl)benzo[<i>d</i>]thiazole, <b>12c</b>, was identified as hit compound with 46-39% cell growth inhibition against all the tested cell lines. Compound <b>6b</b> was found to display suitable binding when docked inside the active site of Aurora-A kinase enzyme.
DOI: 10.6084/m9.figshare.16611672.v1
title: Multicomponent synthesis, <i>in vitro</i> cytotoxic evaluation and <i>molecular modelling</i> studies of polyfunctionalized pyrazolo[3,4-<i>b</i>]pyridine derivatives against three human cancer cell lines

description: A series of diversely polyfunctionalized pyrazolo[3,4-<i>b</i>]pyridines were synthesized by the multicomponent reaction of phenyl/benzothiazolylhydrazine and 3-oxo-3-arylpropanenitrile with 1,3-diketones under solvent-free and solvent-mediated conditions. Nineteen pyrazolo[3,4-<i>b</i>]pyridine derivatives were screened for their anti-cancer activity against three human cancer cell lines namely NALM-6, SB-ALL and MCF-7. Non-fluorinated 1-(benzothiazolyl)pyrazolo[3,4-<i>b</i>]pyridines (<b>6a</b>–<b>d</b>) displayed better cytotoxicity results as compared to other tested derivatives. The compound 1-(benzothiazolyl)-4,6-dimethyl-3-(4-chlorophenyl)pyrazolo[3,4-<i>b</i>]pyridine, <b>6b</b>, was identified as the most active derivative with 53% cell growth inhibition nearly equal to the standard drug doxorubicin (58%), in close agreement to drug-likeness and drug score predictions. Among the fluorinated derivatives, compound 2-(3-(4-chlorophenyl)-4-methyl-6-(trifluoromethyl)-1<i>H</i>-pyrazolo[3,4-<i>b</i>]pyridin-1-yl)benzo[<i>d</i>]thiazole, <b>12c</b>, was identified as hit compound with 46-39% cell growth inhibition against all the tested cell lines. Compound <b>6b</b> was found to display suitable binding when docked inside the active site of Aurora-A kinase enzyme.
DOI: 10.6084/m9.figshare.16455148.v1
title: Efficient synthesis and antibacterial activity of N-(<i>o</i>-benzyloxy/hydroxyphenyl) benzohydroxamic acids

description: A modified one-pot two-step method has been developed to synthesize N<i>-</i>(<i>o</i>-benzyloxyphenyl) benzohydroxamic acids from <i>o</i>-benzyloxy nitrobenzene in good to excellent yields. The synthesized N<i>-</i>(<i>o</i>-benzyloxyphenyl) benzohydroxamic acids were subjected to benzyl deprotection using Pd-C catalyst under H<sub>2</sub> gas atmosphere to afford corresponding N<i>-</i>(<i>o</i>-hydroxyphenyl) benzohydroxamic acids. All the synthesized N<i>-</i>(<i>o</i>-benzyloxy/ hydroxyphenyl) benzohydroxamic acids were characterized by <sup>1</sup>H-, <sup>13</sup>C NMR, FT-IR, UV-Vis., HRMS (ESI) and the structure of the compound <b>5d</b> was further confirmed by analyzing its X-ray data. The synthesized novel N<i>-</i>(<i>o</i>-benzyloxy/ hydroxyphenyl) benzohydroxamic acids were screened for antibacterial activity against the bacterium <i>Escherichia coli</i> by the serial broth microdilution method using microplate alamar blue assay (MABA). The synthesized derivatives showed significant activity against <i>E. coli</i>.