cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8215100
title: NCCD-PF - A pre-failure narrow concrete cracks dataset for engineering structures damage classification and semantic segmentation

description: The NCCD-PF dataset was developed for the classification and semantic segmentation of narrow concrete cracks in engineering structures elements at the pre-failure state. It only includes cracks whose width is narrower than 0.3 mm, i.e. the limit value specified in EC 1992-1-1 for typical elements of engineering structures and environmental conditions.

This dataset is dedicated to the early crack detection at a stage when the serviceability limit state has not yet been exceeded and the failure of a structural element has not occurred. By implementing the early crack detection approach, it is possible to protect cracks in order to stop or slow down their propagation and thus to extend the structure's lifespan.

This dataset contains images of cracks appearing on various elements of engineering structures (bridges, viaducts, tunnels) made of reinforced concrete (including abutments, tunnel walls, concrete barriers, pillars). The images were captured on construction sites and during inspections of engineering structures, at different stages of the reinforced concrete structure's working conditions - from the construction stage (when the elements are loaded only by their own weight) to the structure's use stage (when the elements are loaded by most of the design loads). The images are also differentiated by the cause of the cracking (ex., thermal and shrinkage stresses in young concrete, excessive stresses). The images were acquired using fixed-focus cameras without prior conditioning in order to represent the real working conditions of a bridge engineer during structural inspections. The images are characterised by a high degree of complexity due to the quality of the concrete surface finish (e.g. presence of formwork marks, concrete trowel marks), which could potentially be recognised as cracks.

This dataset is dedicated to researchers working in the fields of computer vision, machine learning and deep learning. In particular, it contains domain knowledge in structural health monitoring, so that it can support the work of engineers in detecting cracks of concrete elements in a pre-failure state.

A detailed description of the dataset is presented in A pre-failure narrow concrete cracks dataset for engineering structures damage classification and segmentation (DOI: 10.1038/s41597-023-02839-z).
DOI: 10.6084/m9.figshare.19158993.v1
title: Additional file 1 of iSuc-ChiDT: a computational method for identifying succinylation sites using statistical difference table encoding and the chi-square decision table classifier

description: Additional file 1: Table S1. This table shows the 20 × 9 chi-square statistical difference table constructed based on 9 key positions in Tr_data.
DOI: 10.5281/zenodo.8215099
title: NCCD-PF - A pre-failure narrow concrete cracks dataset for engineering structures damage classification and semantic segmentation

description: The NCCD-PF dataset was developed for the classification and semantic segmentation of narrow concrete cracks in engineering structures elements at the pre-failure state. It only includes cracks whose width is narrower than 0.3 mm, i.e. the limit value specified in EC 1992-1-1 for typical elements of engineering structures and environmental conditions.

This dataset is dedicated to the early crack detection at a stage when the serviceability limit state has not yet been exceeded and the failure of a structural element has not occurred. By implementing the early crack detection approach, it is possible to protect cracks in order to stop or slow down their propagation and thus to extend the structure's lifespan.

This dataset contains images of cracks appearing on various elements of engineering structures (bridges, viaducts, tunnels) made of reinforced concrete (including abutments, tunnel walls, concrete barriers, pillars). The images were captured on construction sites and during inspections of engineering structures, at different stages of the reinforced concrete structure's working conditions - from the construction stage (when the elements are loaded only by their own weight) to the structure's use stage (when the elements are loaded by most of the design loads). The images are also differentiated by the cause of the cracking (ex., thermal and shrinkage stresses in young concrete, excessive stresses). The images were acquired using fixed-focus cameras without prior conditioning in order to represent the real working conditions of a bridge engineer during structural inspections. The images are characterised by a high degree of complexity due to the quality of the concrete surface finish (e.g. presence of formwork marks, concrete trowel marks), which could potentially be recognised as cracks.

This dataset is dedicated to researchers working in the fields of computer vision, machine learning and deep learning. In particular, it contains domain knowledge in structural health monitoring, so that it can support the work of engineers in detecting cracks of concrete elements in a pre-failure state.

A detailed description of the dataset is presented in A pre-failure narrow concrete cracks dataset for engineering structures damage classification and segmentation (DOI: 10.1038/s41597-023-02839-z).
DOI: 10.6084/m9.figshare.22826946.v1
title: Additional file 2 of ARHGAP39 is a prognostic biomarker involved in immune infiltration in breast cancer

description: Additional file 2: Supplementary Table S1. The GO functionalenrichments of ARHGAP39 and its interacting proteins. Supplementary Table S2. Biological Processes. Supplementary Table S3. Cellular Components. Supplementary Table S4. Molecular Functions. Supplementary Table S5. KEGG Pathways. Supplementary Table S6. GSEA Analysis.
DOI: 10.6084/m9.figshare.13391659.v1
title: A revision of <i>Agaricus</i> section <i>Arvenses</i> with nine new species from China

description: <i>Agaricus</i> sect. <i>Arvenses</i> includes numerous species that are potential candidates for cultivation, and some have high nutritional and medicinal interests. Between 2012 and 2017, 147 specimens of <i>A</i>. sect. <i>Arvenses</i> were collected in China. For this study, nuc rDNA internal transcribed spacer region ITS1-5.8S-ITS2 (ITS), nuc 28S rDNA (28S), and translation elongation factor 1-alpha (<i>tef1</i>) sequences were used to assess species boundaries of these samples from China. Combined with morphological examination, we recognize 22 species of <i>A</i>. sect. <i>Arvenses</i> from China, of which 12 are known species, one is new record for China, and nine are proposed as new.
DOI: 10.15139/s3/6175l7
title: Associations of Tobacco Retailer Density and Proximity with Adult Tobacco Use and Health Outcomes: A Meta-Analysis

description: Tobacco use is a leading cause of preventable death in high income countries. The tobacco industry markets its products in ways to increase their availability, accessibility, and ubiquity in the retail environment. This marketing is targeted at communities in ways that can increase social inequities. Prior systematic reviews have identified and described the literature on the role of tobacco marketing on behavior (Robertson, Cameron, McGee, Marsh, & Hoek, 2016; Robertson, McGee, Marsh, & Hoek, 2015), on inequities in the availability of tobacco marketing (Lee, Henriksen, Rose, Moreland-Russell, & Ribisl, 2015), and on the role of tobacco retailer density on adolescent health behaviors (Gwon, DeGuzman, Kulbok, & Jeong, 2017). One systematic review and meta-analysis has looked at adolescent smoking behaviors in relation to tobacco retailer density (Finan et al., 2018) and one at volume of marketing in neighborhoods (Primack, Bost, Land, & Fine, 2007). Understanding the impact of tobacco retailer density and proximity on adult tobacco use behaviors as well as on the scale of social inequities is important given that there are available policy mechanisms for reducing the density and proximity of tobacco retailers (Ackerman, Etow, Bartel, & Ribisl, 2017; Myers, Hall, Isgett, & Ribisl, 2015) and these have potential to influence social inequities (Ribisl et al., 2017). This Dataset provides supplemental files and data. The systematic review is registered in PROSPERO #CRD42019124984
DOI: 10.6084/m9.figshare.19159081
title: Additional file 2 of Genome-wide association study of serum tumor markers in Southern Chinese Han population

description: Additional file 2: Supplemental Figure 2. A map of the SNPs associated with each serum tumor marker on different chromosomes. (A) AFP; (B) CA50; (C) CA125; (D) CA153; (E) CA19-9; (F) CEA; (G) f-PSA; (H) SCC-Ag.
DOI: 10.6084/m9.figshare.8148377.v1
title: Additional file 2: of Prediction of pathologic stage in non-small cell lung cancer using machine learning algorithm based on CT image feature analysis

description: Table S2. Clinical information of NSCLC patients from TCIA database. (XLSX 15 kb)
DOI: 10.6084/m9.figshare.8148383.v1
title: Additional file 3: of Prediction of pathologic stage in non-small cell lung cancer using machine learning algorithm based on CT image feature analysis

description: Table S3. Association between Radiomic Score and TNM factors. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.8148386
title: Additional file 5: of Proteomics analysis reveals heat shock proteins involved in caprine parainfluenza virus type 3 infection

description: Figure S6 and S7 Heat map and scatterplot (ZIP 1116 kb)
DOI: 10.6084/m9.figshare.8148401
title: Additional file 7: of Proteomics analysis reveals heat shock proteins involved in caprine parainfluenza virus type 3 infection

description: Data Sheet 9. The 93 DEPs were annotated into six KEGG pathway categories (XLS 32 kb)
DOI: 10.6084/m9.figshare.16625317
title: Additional file 14 of Systematic analysis of the relationship between ovarian cancer prognosis and alternative splicing

description: Additional file 14: Table 14. Risk score of ME events in ovarian cancer patients.
DOI: 10.6084/m9.figshare.16625320.v1
title: Additional file 15 of Systematic analysis of the relationship between ovarian cancer prognosis and alternative splicing

description: Additional file 15: Table 15. Prognostic model of RI events in ovarian cancer.coef is the risk factor.
DOI: 10.6084/m9.figshare.8148494
title: Additional file 2: of Time series analysis of mumps and meteorological factors in Beijing, China

description: Table S2. Monthly means derived from daily average values of meteorological parameters measured from 1989 to 2012 in Beijing, China. (XLSX 26 kb)
DOI: 10.6084/m9.figshare.16625326
title: Additional file 17 of Systematic analysis of the relationship between ovarian cancer prognosis and alternative splicing

description: Additional file 17: Table 17. Single factor independent analysis of ovarian cancer.The 95% confidence interval from HR.95L to HR.95H.P value less than 0.05 indicates that this factor is significant as an independent prognostic factor for ovarian cancer.
DOI: 10.6084/m9.figshare.16625314
title: Additional file 13 of Systematic analysis of the relationship between ovarian cancer prognosis and alternative splicing

description: Additional file 13: Table 13. Prognostic model of ME events in ovarian cancer.coef is the risk factor.
DOI: 10.6084/m9.figshare.10247237
title: RNA-binding protein ZFP36/TTP protects against ferroptosis by regulating autophagy signaling pathway in hepatic stellate cells

description: Ferroptosis is a recently discovered form of programmed cell death, but its regulatory mechanisms remain poorly understood. Here, we show that the RNA-binding protein ZFP36/TTP (ZFP36 ring finger protein) plays a crucial role in regulating ferroptosis in hepatic stellate cells (HSCs). Upon exposure to ferroptosis-inducing compounds, the ubiquitin ligase FBXW7/CDC4 (F-box and WD repeat domain containing 7) decreased ZFP36 protein expression by recognizing SFSGLPS motif. <i>FBXW7</i> plasmid contributed to classical ferroptotic events, whereas <i>ZFP36</i> plasmid impaired <i>FBXW7</i> plasmid-induced HSC ferroptosis. Interestingly, <i>ZFP36</i> plasmid inhibited macroautophagy/autophagy activation by destabilizing ATG16L1 (autophagy related 16 like 1) mRNA. <i>ATG16L1</i> plasmid eliminated the inhibitory action of <i>ZFP36</i> plasmid on ferroptosis, and <i>FBXW7</i> plasmid enhanced the effect of <i>ATG16L1</i> plasmid on autophagy. Importantly, <i>ZFP36</i> plasmid promoted <i>ATG16L1</i> mRNA decay via binding to the AU-rich elements (AREs) within the 3ʹ-untranslated region. The internal mutation of the ARE region abrogated the ZFP36-mediated <i>ATG16L1</i> mRNA instability, and prevented <i>ZFP36</i> plasmid-mediated ferroptosis resistance. In mice, treatment with erastin and sorafenib alleviated murine liver fibrosis by inducing HSC ferroptosis. HSC-specific overexpression of <i>Zfp36</i> impaired erastin- or sorafenib-induced HSC ferroptosis. Noteworthy, we analyzed the effect of sorafenib on HSC ferroptosis in fibrotic patients with hepatocellular carcinoma receiving sorafenib monotherapy. Attractively, sorafenib monotherapy led to ZFP36 downregulation, ferritinophagy activation, and ferroptosis induction in human HSCs. Overall, these results revealed novel molecular mechanisms and signaling pathways of ferroptosis, and also identified ZFP36-autophagy-dependent ferroptosis as a potential target for the treatment of liver fibrosis. ARE: AU-rich elements; ATG: autophagy related; BECN1: beclin 1; CHX: cycloheximide; COL1A1: collagen type I alpha 1 chain; ELAVL1/HuR: ELAV like RNA binding protein 1; FBXW7/CDC4: F-box and WD repeat domain containing 7; FN1: fibronectin 1; FTH1: ferritin heavy chain 1; GPX4/PHGPx: glutathione peroxidase 4; GSH: glutathione; HCC: hepatocellular carcinoma; HSC: hepatic stellate cell; LSEC: liver sinusoidal endothelial cell; MAP1LC3A: microtubule associated protein 1 light chain 3 alpha; MDA: malondialdehyde; NCOA4: nuclear receptor coactivator 4; PTGS2/COX2: prostaglandin-endoperoxide synthase 2; RBP: RNA-binding protein; ROS: reactive oxygen species; SLC7A11/xCT: solute carrier family 7 member 11; SQSTM1/p62: sequestosome 1; TNF: tumor necrosis factor; TP53/p53: tumor protein p53; UTR: untranslated region; ZFP36/TTP: ZFP36 ring finger protein
DOI: 10.6084/m9.figshare.16625347.v1
title: Additional file 2 of Systematic analysis of the relationship between ovarian cancer prognosis and alternative splicing

description: Additional file 2: Table 2. Alternative splicing events significantly associated with prognosis of ovarian cancer.The P values of all the alternative splicing events were less than 0.05.HR,hazard ratio,HRHR&gt;1 are high-risk events, HR&lt;1 are low-risk events.The 95% confidence interval from HR.95L to HR.95H.
DOI: 10.6084/m9.figshare.16625356.v1
title: Additional file 5 of Systematic analysis of the relationship between ovarian cancer prognosis and alternative splicing

description: Additional file 5: Table 5. Prognostic model of AD events in ovarian cancer.coef is the risk factor.
DOI: 10.6084/m9.figshare.10247237.v1
title: RNA-binding protein ZFP36/TTP protects against ferroptosis by regulating autophagy signaling pathway in hepatic stellate cells

description: Ferroptosis is a recently discovered form of programmed cell death, but its regulatory mechanisms remain poorly understood. Here, we show that the RNA-binding protein ZFP36/TTP (ZFP36 ring finger protein) plays a crucial role in regulating ferroptosis in hepatic stellate cells (HSCs). Upon exposure to ferroptosis-inducing compounds, the ubiquitin ligase FBXW7/CDC4 (F-box and WD repeat domain containing 7) decreased ZFP36 protein expression by recognizing SFSGLPS motif. <i>FBXW7</i> plasmid contributed to classical ferroptotic events, whereas <i>ZFP36</i> plasmid impaired <i>FBXW7</i> plasmid-induced HSC ferroptosis. Interestingly, <i>ZFP36</i> plasmid inhibited macroautophagy/autophagy activation by destabilizing ATG16L1 (autophagy related 16 like 1) mRNA. <i>ATG16L1</i> plasmid eliminated the inhibitory action of <i>ZFP36</i> plasmid on ferroptosis, and <i>FBXW7</i> plasmid enhanced the effect of <i>ATG16L1</i> plasmid on autophagy. Importantly, <i>ZFP36</i> plasmid promoted <i>ATG16L1</i> mRNA decay via binding to the AU-rich elements (AREs) within the 3ʹ-untranslated region. The internal mutation of the ARE region abrogated the ZFP36-mediated <i>ATG16L1</i> mRNA instability, and prevented <i>ZFP36</i> plasmid-mediated ferroptosis resistance. In mice, treatment with erastin and sorafenib alleviated murine liver fibrosis by inducing HSC ferroptosis. HSC-specific overexpression of <i>Zfp36</i> impaired erastin- or sorafenib-induced HSC ferroptosis. Noteworthy, we analyzed the effect of sorafenib on HSC ferroptosis in fibrotic patients with hepatocellular carcinoma receiving sorafenib monotherapy. Attractively, sorafenib monotherapy led to ZFP36 downregulation, ferritinophagy activation, and ferroptosis induction in human HSCs. Overall, these results revealed novel molecular mechanisms and signaling pathways of ferroptosis, and also identified ZFP36-autophagy-dependent ferroptosis as a potential target for the treatment of liver fibrosis. ARE: AU-rich elements; ATG: autophagy related; BECN1: beclin 1; CHX: cycloheximide; COL1A1: collagen type I alpha 1 chain; ELAVL1/HuR: ELAV like RNA binding protein 1; FBXW7/CDC4: F-box and WD repeat domain containing 7; FN1: fibronectin 1; FTH1: ferritin heavy chain 1; GPX4/PHGPx: glutathione peroxidase 4; GSH: glutathione; HCC: hepatocellular carcinoma; HSC: hepatic stellate cell; LSEC: liver sinusoidal endothelial cell; MAP1LC3A: microtubule associated protein 1 light chain 3 alpha; MDA: malondialdehyde; NCOA4: nuclear receptor coactivator 4; PTGS2/COX2: prostaglandin-endoperoxide synthase 2; RBP: RNA-binding protein; ROS: reactive oxygen species; SLC7A11/xCT: solute carrier family 7 member 11; SQSTM1/p62: sequestosome 1; TNF: tumor necrosis factor; TP53/p53: tumor protein p53; UTR: untranslated region; ZFP36/TTP: ZFP36 ring finger protein
DOI: 10.6084/m9.figshare.16625329.v1
title: Additional file 18 of Systematic analysis of the relationship between ovarian cancer prognosis and alternative splicing

description: Additional file 18: Table 18. Multi-factor independent prognostic analysis of ovarian cancer.The 95% confidence interval from HR.95L to HR.95H.P value less than 0.05 indicates that this factor is significant as an independent prognostic factor for ovarian cancer.
DOI: 10.6084/m9.figshare.16625332.v1
title: Additional file 19 of Systematic analysis of the relationship between ovarian cancer prognosis and alternative splicing

description: Additional file 19: Table 19. Analysis of the relationship between splicing factors and variable splicing events.
DOI: 10.6084/m9.figshare.19681987
title: Additional file 3 of DeepRepeat: direct quantification of short tandem repeats on signal data from nanopore sequencing

description: Additional file 3: Table S5. Sequencing error statistics of the G4C2 repeat region.
DOI: 10.6084/m9.figshare.19158993
title: Additional file 1 of iSuc-ChiDT: a computational method for identifying succinylation sites using statistical difference table encoding and the chi-square decision table classifier

description: Additional file 1: Table S1. This table shows the 20 × 9 chi-square statistical difference table constructed based on 9 key positions in Tr_data.
DOI: 10.6084/m9.figshare.19158996.v1
title: Additional file 2 of iSuc-ChiDT: a computational method for identifying succinylation sites using statistical difference table encoding and the chi-square decision table classifier

description: Additional file 2: Table S2. This table shows 137 rules generated based on Tr_data, and lists the number of positive and negative training samples conforming to each rule.
DOI: 10.5281/zenodo.10047663
title: Data for "Tailoring Hot-Carrier Distributions of Plasmonic Nanostructures through Surface Alloying"

description: This upload includes the data presented and analyzed in the article "Tailoring Hot-Carrier Distributions of Plasmonic Nanostructures through Surface Alloying" by Jakub Fojt, Tuomas P. Rossi, Priyank V. Kumar, and Paul Erhart.

The codes for reproducing the data are provided at doi:10.5281/zenodo.10663218.

See README.md in data.zip for a detailed description.
DOI: 10.6084/m9.figshare.19159036.v1
title: Additional file 1 of Methyltransferase like 7B is a potential therapeutic target for reversing EGFR-TKIs resistance in lung adenocarcinoma

description: Additional file 1: Table S1. Primers used for real-time RT-PCR.
DOI: 10.6084/m9.figshare.16625314.v1
title: Additional file 13 of Systematic analysis of the relationship between ovarian cancer prognosis and alternative splicing

description: Additional file 13: Table 13. Prognostic model of ME events in ovarian cancer.coef is the risk factor.
DOI: 10.6084/m9.figshare.3761562.v2393
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.21507075
title: The importance of periprostatic adipose tissue thickness measured by preoperative multiparametric magnetic resonance imaging in upstage prediction after robot-assisted radical prostatectomy

description: The dataset of the manuscript of The importance of periprostatic adipose tissue thickness measured by preoperative multiparametric magnetic resonance imaging in upstage prediction after robot-assisted radical prostatectomy
DOI: 10.6084/m9.figshare.21507075.v1
title: The importance of periprostatic adipose tissue thickness measured by preoperative multiparametric magnetic resonance imaging in upstage prediction after robot-assisted radical prostatectomy

description: The dataset of the manuscript of The importance of periprostatic adipose tissue thickness measured by preoperative multiparametric magnetic resonance imaging in upstage prediction after robot-assisted radical prostatectomy
DOI: 10.3886/e168021v1
title: ECIN Replication Package for "Optimal Unemployment Insurance in a Directed Search Model"

description: Code to numerically solve models in "Optimal Unemployment Insurance in a Directed Search Model."
DOI: 10.6084/m9.figshare.21506229
title: Source data for "Single planar photonic chip with tailored angular transmission for multiple-order analog spatial differentiator"

description: This Source Data file provides the corresponding simulated and experimental data files for the figures in the main text of the paper " Single planar photonic chip with tailored angular transmission for multiple-order analog spatial differentiator", including the data within Fig. 1, Fig. 2, Fig. 3, Fig. 4, Fig. 5 and Fig. 6.
DOI: 10.6084/m9.figshare.21506229.v2
title: Source data for "Single planar photonic chip with tailored angular transmission for multiple-order analog spatial differentiator"

description: This Source Data file provides the corresponding simulated and experimental data files for the figures in the main text of the paper " Single planar photonic chip with tailored angular transmission for multiple-order analog spatial differentiator", including the data within Fig. 1, Fig. 2, Fig. 3, Fig. 4, Fig. 5 and Fig. 6.
DOI: 10.26093/cds/vizier.36210038
title: Gaia catalogue of hot subluminous stars

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'The population of hot subdwarf stars studied with Gaia. II. The Gaia DR2 catalogue of hot subluminous stars.' (bibcode: 2019A&A...621A..38G)
DOI: 10.26093/cds/vizier.36210048
title: Gaia-DR2 extended kinematical maps. I.

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Gaia-DR2 extended kinematical maps. I. Method and application.' (bibcode: 2019A&A...621A..48L)
DOI: 10.26093/cds/vizier.36210049
title: K2-18 HARPS time-series

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Confirmation of the radial velocity super-Earth K2-18c with HARPS and CARMENES.' (bibcode: 2019A&A...621A..49C)