cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25402/cer.16856167
title: Supplementary materials: Estimating the risk of thrombotic events in people with congenital hemophilia A using US claims data.docx

description: · Supplemental Table 1A. ICD-9-CM and ICD-10-CM codes used to identify myocardial infarction. · Supplemental Table 1B. ICD-9-CM and ICD-10-CM codes used to identify pulmonary embolism. · Supplemental Table 1C. ICD-9-CM and ICD-10-CM codes used to identify ischemic stroke. · Supplemental Table 1D. ICD-9-CM and ICD-10-CM codes used to identify deep vein thrombosis. · Supplemental Table 1E. ICD-9-CM and ICD-10-CM codes used to identify device-related thrombosis. · Supplemental Table 2A. ICD-9-CM and ICD-10-CM codes to identify HIV. · Supplemental Table 2B. ICD-9-CM and ICD-10-CM codes to identify hepatitis C. Supplemental Table 3. Adjusted IRR (95% CI) by age group.
DOI: 10.25721/nckh-v441
title: Ti moun a moin kalé tété
DOI: 10.25721/az59-qa54
title: Ti moun a moin kalé tété
DOI: 10.17632/hsg96vsxdw.1
title: Molecular Dynamics of CL11 and CL11-E complexes with 58rRNA

description: PDB files with added hydrogens, counterions and waters. *Hmass.top and *2us.netcdf are AMBER PARM7 and NETCDF files, respectively, for the imaged trajectories. *20WAT* and *4MG* files select 20 closest waters and 4 closest Mg2+ to residues 5,14,28,46,60,67 in case of CL11 and 10,21,22,24,49,51,61,63,64,67 in case of CL11-E. DX files are volumetric occupancies by VOLMAP.
DOI: 10.25721/x9pm-1m36
title: Dodo ti moun à maman
DOI: 10.23729/966bb3fa-6c15-43dd-94d2-e80c5f7ce2f7
title: TM5 model code for CH4 and 13CH4 simulations, Kangasaho, 2021

description: TM5 source code for simulating atmospheric CH4 and 13CH4 with off-line chemistry with OH, Cl and O(1D) and soil sink. Resolution is 1º x 1º over Europe, elsewhere 6º x 4º with an intermediate 2° x 3° zoom region. Vertically, 25 layers are used. The model code is built to run with ERA-Interim meteorological fields. Only the model codes are included, but the input data can be separately provided on request to the publisher and/or rights holders.
DOI: 10.25721/ke0a-q885
title: Dodo ti moun à maman
DOI: 10.6084/m9.figshare.16856206
title: Virtual screening and structure-based 3D pharmacophore approach to identify small-molecule inhibitors of SARS-CoV-2 M<sup>pro</sup>

description: The outbreak caused by a coronavirus 2 has required quick and potential treatment strategies. The main protease enzyme M<sup>pro</sup> plays an important role in the viral replication which renders it an important target for discovering SARS-CoV-2 inhibitors. In this study, 3D pharmacophore structure-based virtual screening and molecular docking were conducted using MOE and Bristol University Docking Engine (BUDE). Around 400,000 molecules of ZINC15 database were docked against the crystal structure of main protease, followed by 3D pharmacophore filtration. Six top-ranked hits (ZINC58717986, ZINC60399606, ZINC58662884, ZINC45988635, ZINC54706757 and ZINC17320595) were identified based on their strong spatial affinity and forming H-bonds with key residues H41, E166, Q189 and T190 of the binding pocket of M<sup>pro</sup> SARS-CoV-2. The 6 hits subjected to molecular dynamics simulations for 100 ns followed by binding free energy calculations using MM-PBSA technique. Interestingly, three hits showed free binding energy (ΔG<sub>binding</sub>) lower than <i>tert</i>-butyl <i>N</i>-[1-[(2<i>S</i>)-1-[[(2<i>S</i>)-4-(benzylamino)-3,4-dioxo-1-[(3<i>S</i>)-2-oxopyrrolidin-3-yl]butan-2-yl]amino]-3-cyclopropyl-1-oxopropan-2-yl]-2-oxopyridin-3-yl]carbamate (α-ketoamide 13 b) (ΔG<sub>binding</sub>) −76.67 ± 0.5 kJ/mol which suggested their potential against SARS-CoV-2. The best binding free energy candidates, ZINC58717986 (ΔG<sub>binding</sub>) −98.41 ± 0.7 kJ/mol. The second-best hit candidate, ZINC54706757 (ΔG<sub>binding</sub>) −83.4 ± 0.6 kJ/mol and the third one ZINC17320595 (ΔG<sub>binding</sub>) −78.85 ± 0.5 kJ/mol. Per residue decomposition free energy indicates H41, S46, H164, E166, D187, Q189 and Q192 are hot spot residues while residues M49, M165, L167 and P168 contribute to the hydrophobic interactions. The pharmacokinetic study suggests that the selected 6 hits possess drug-like properties. The 3D pharmacophore virtual screening, molecular dynamics and MM-PBSA approaches facilitated identification 3 promising hits with low free binding energy as SARS-CoV-2 inhibitors. Communicated by Ramaswamy H. Sarma
DOI: 10.6084/m9.figshare.16856215
title: <b>Supplementary file 1: Bubble classifier file</b> from Immunofluorescence-guided segmentation of three-dimensional features in micro-computed tomography datasets of human lung tissue

description: Weka classifier file trained on lung dataset 1 for automatically segmenting the air bubble artefacts in the µCT volume
DOI: 10.6084/m9.figshare.16856215.v1
title: <b>Supplementary file 1: Bubble classifier file</b> from Immunofluorescence-guided segmentation of three-dimensional features in micro-computed tomography datasets of human lung tissue

description: Weka classifier file trained on lung dataset 1 for automatically segmenting the air bubble artefacts in the µCT volume
DOI: 10.6084/m9.figshare.16856236
title: <b>Supplementary file 2: ‘Automated warping script’</b> from Immunofluorescence-guided segmentation of three-dimensional features in micro-computed tomography datasets of human lung tissue

description: The Fiji Script written and reported on in this manuscript for co-registration and warping of µCT and 2D histology images
DOI: 10.6084/m9.figshare.16856236.v1
title: <b>Supplementary file 2: ‘Automated warping script’</b> from Immunofluorescence-guided segmentation of three-dimensional features in micro-computed tomography datasets of human lung tissue

description: The Fiji Script written and reported on in this manuscript for co-registration and warping of µCT and 2D histology images
DOI: 10.25721/we8q-8d84
title: Dodo l'enfant do
DOI: 10.5281/zenodo.5111975
title: OCTA image dataset with label annotation for quality assessment

description: This dataset is publish by the research "<em>A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image</em>" Detail: OCTA image dataset with label annotation for quality assessment. sOCTA-3x3-10k: 10,480 3 × 3 mm<sup>2</sup> superficial vascular layer OCTA (sOCTA) images divided into three classes; sOCTA-6x6-14k: 14,042 6 × 6 mm<sup>2</sup> sOCTA images divided into three classes. GitHub: https://github.com/shanzha09/COIPS These datasets are public available, if you use the dataset or our system in your research, please <strong>cite</strong> our paper: <em><code>A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image</code></em>. arXiv:https://arxiv.org/abs/2107.10476v1
DOI: 10.25721/bqzm-3903
title: Dodo l'enfant do
DOI: 10.5281/zenodo.5111972
title: OCTA image dataset with pixel-level mask annotation for FAZ segmentation

description: This dataset is publish by the research "<em>A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image</em>" Detail: This dataset is the pixel-level mask annotation for FAZ segmentation. 1,101 3 × 3 mm<sup>2</sup> sOCTA images chosen from gradable and best OCTA images randomly in subset sOCTA-3x3-10k, and 1,143 6 × 6 mm<sup>2</sup>dOCTA images were annotated by an experienced ophthalmologist. GitHub: https://github.com/shanzha09/COIPS These datasets are public available, if you use the dataset or our system in your research, please <strong>cite</strong> our paper: <em><code>A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image</code></em>. arXiv:https://arxiv.org/abs/2107.10476v1
DOI: 10.5281/zenodo.5075193
title: OCTA image dataset with pixel-level mask annotation for FAZ segmentation

description: This dataset is publish by the research "<em>A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image</em>" Detail: This dataset is the pixel-level mask annotation for FAZ segmentation. 1,101 3 × 3 mm<sup>2</sup> sOCTA images chosen from gradable and best OCTA images randomly in subset sOCTA-3x3-10k, and 1,143 6 × 6 mm<sup>2</sup>dOCTA images were annotated by an experienced ophthalmologist. GitHub: https://github.com/shanzha09/COIPS These datasets are public available, if you use the dataset or our system in your research, please <strong>cite</strong> our paper: <em><code>A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image</code></em>. arXiv:https://arxiv.org/abs/2107.10476v1
DOI: 10.25721/k2zt-qe44
title: Dodo l'enfant do
DOI: 10.18112/openneuro.ds003850.v1.0.0
title: Next Gen VASO data at 0.1 micro liter voxels for ISMRM 2022
DOI: 10.25721/45wh-4055
title: Qui veut voir ma lanterne de magie pour les noix
DOI: 10.25721/5s3c-8v54
title: Quand il est minuit c'est l'heure du tango
DOI: 10.25721/ez8q-6216
title: Une jeune fille âgée de quinze ans
DOI: 10.5281/zenodo.5243358
title: Supplementary data to publication "Cellular detection of the chemokine receptor CXCR4 in bovine mammary glands and its distribution and regulation on bovine leukocytes"

description: Supplementary data to publication "Cellular detection of the chemokine receptor CXCR4 in bovine mammary glands and its distribution and regulation on bovine leukocytes" in Journal of Dairy Science; https://doi.org/10.3168/jds.2021-20799
DOI: 10.5281/zenodo.5243357
title: Supplementary data to publication "Cellular detection of the chemokine receptor CXCR4 in bovine mammary glands and its distribution and regulation on bovine leukocytes"

description: Supplementary data to publication "Cellular detection of the chemokine receptor CXCR4 in bovine mammary glands and its distribution and regulation on bovine leukocytes" in Journal of Dairy Science; https://doi.org/10.3168/jds.2021-20799
DOI: 10.15161/oar.it/74204
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.5517/ccdc.csd.cc28mj0g
title: CCDC 2104125: Experimental Crystal Structure Determination

description: Related Article: Daniil A. Bardonov, Pavel D.Komarov, Guzelia I. Sadrtdinova, Viktoria K. Besprozvannyh, Konstantin A. Lyssenko, Alexei O. Gudovannyy, Ilya E. Nifant'ev, Mikhail E. Minyaev, Dmitrii M. Roitershtein|2022|Inorg.Chim.Acta|529|120638|doi:10.1016/j.ica.2021.120638
DOI: 10.5517/ccdc.csd.cc28dl8k
title: CCDC 2097468: Experimental Crystal Structure Determination

description: Related Article: Guo-Sheng Zhu, Pei-Jun Yang, Chen-Xue Ma, Gaosheng Yang, Zhuo Chai|2021|Org.Lett.|23|7933|doi:10.1021/acs.orglett.1c02931
DOI: 10.6084/m9.figshare.16856269
title: Supplementary Material for: LRP1B Expression as a Putative Predictor of Response to Pegylated Liposomal Doxorubicin Treatment in Ovarian Cancer

description: <b><i>Background:</i></b> Pegylated liposomal doxorubicin (PLD) is among the most active therapies for recurrent/progressive ovarian cancer (OC). Low-density lipoprotein receptor-related protein 1B (LRP1B) is one of the 10 most significantly deleted genes in human cancers. It mediates endocytosis of several factors from the cellular environment including liposomes. Although the LRP1B role in cancer has not been fully disclosed, its contribution to resistance to liposomal therapies has been hypothesized. This study aimed to evaluate the impact of LRP1B protein as a possible marker of response to PLD in patients with OC. <b><i>Methods:</i></b> LRP1B expression and response to PLD were analyzed in OC cell lines by qRT-PCR and PrestoBlue viability assay, respectively. LRP1B protein expression was evaluated for the first time, in tumor samples from PLD-treated patients and controls (other chemotherapies) by immunohistochemistry. Association of LRP1B staining score (determined based on intensity and percentage of positively stained cells) with clinicopathological features, response to therapy and survival outcomes was evaluated. <b><i>Results:</i></b> OC cells with increased expression of LRP1B were more sensitive to PLD. LRP1B staining score was associated with clinicopathological features, response to therapy, and survival outcomes. Higher LRP1B levels were associated with prolonged progression-free survival. This association was more evident in patients treated with PLD and in responders to PLD. <b><i>Conclusion:</i></b> Our results support a possible role of LRP1B as a predictor of response to PLD in patients with OC.
DOI: 10.5517/ccdc.csd.cc28xmc6
title: CCDC 2112878: Experimental Crystal Structure Determination

description: Related Article: Manickam Muthukkumar|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28xwcg
title: CCDC 2113126: Experimental Crystal Structure Determination

description: Related Article: Mengke Li, Xinyi Cai, Zijian Chen, Kunkun Liu, Weidong Qiu, Wentao Xie, Liangying Wang, Shi-Jian Su|2021|Chemical Science|12|13580|doi:10.1039/D1SC03420K
DOI: 10.5517/ccdc.csd.cc28y1r1
title: CCDC 2113293: Experimental Crystal Structure Determination

description: Related Article: D.G. Patel, J.M. Cox, B.M. Bender, J.B. Benedict|2021|IUCrData|6|x211016|doi:10.1107/S2414314621010166
DOI: 10.25402/epi.16856254
title: DEEP CHARACTERIZATION OF PAIRED CHROMATIN AND TRANSCRIPTOMES IN FOUR IMMUNE CELL TYPES FROM MULTIPLE SCLEROSIS PATIENTS

description: <b>Supplementary Figure 1: Overview of the data analysis pipeline</b> <b> </b> <b>Supplementary Figure 2: </b>Volcano plots showing differentially expressed (DE) genes between HC and RR in CD4, CD8, CD14, and CD19. DE analysis was performed on all genes using linear models that, in addition to disease status, included age as a covariate (Methods). DE genes (FDR=0.2) have been highlighted with blue if upregulated in RR and red if downregulated in RR. <b></b> <b> </b> <b>SUPPLEMENTARY TABLES:</b> <b>Supplementary table 1:</b> ATAC Seq differentially bound regions in all 4 cell types <b>Supplementary table 2:</b> Transcription factor enrichment <b>Supplementary table 3:</b> RNA Seq differentially expressed genes <b>Supplementary table 4:</b> Correlation of differentially expressed and differentially bound regions
DOI: 10.25402/epi.16856254.v1
title: DEEP CHARACTERIZATION OF PAIRED CHROMATIN AND TRANSCRIPTOMES IN FOUR IMMUNE CELL TYPES FROM MULTIPLE SCLEROSIS PATIENTS

description: <b>Supplementary Figure 1: Overview of the data analysis pipeline</b> <b> </b> <b>Supplementary Figure 2: </b>Volcano plots showing differentially expressed (DE) genes between HC and RR in CD4, CD8, CD14, and CD19. DE analysis was performed on all genes using linear models that, in addition to disease status, included age as a covariate (Methods). DE genes (FDR=0.2) have been highlighted with blue if upregulated in RR and red if downregulated in RR. <b></b> <b> </b> <b>SUPPLEMENTARY TABLES:</b> <b>Supplementary table 1:</b> ATAC Seq differentially bound regions in all 4 cell types <b>Supplementary table 2:</b> Transcription factor enrichment <b>Supplementary table 3:</b> RNA Seq differentially expressed genes <b>Supplementary table 4:</b> Correlation of differentially expressed and differentially bound regions
DOI: 10.5281/zenodo.5591969
title: IMMI Dataset

description: IMMI Dataset is a dataset consisting of Indic Historical Manuscript images with multiple manuscripts scanned together. This dataset can be used to train deep networks for multi-page document image segmentation. The IMMI dataset covers a practical range in terms of the number of manuscripts per image. It comprises both synthetic and Non-synthetic images.
DOI: 10.5281/zenodo.5591968
title: IMMI Dataset

description: IMMI Dataset is a dataset consisting of Indic Historical Manuscript images with multiple manuscripts scanned together. This dataset can be used to train deep networks for multi-page document image segmentation. The IMMI dataset covers a practical range in terms of the number of manuscripts per image. It comprises both synthetic and Non-synthetic images.
DOI: 10.25550/5-daq4
title: Single-cell profiling of zebrafish cranial neural crest diversification across a vertebrate lifetime

description: The cranial neural crest (CNC) is a vertebrate-specific population that generates a huge diversity of derivatives, including the bulk of the connective and skeletal tissues of the head. How neural crest cells generate the appropriate cell types for distinct head regions over time remains unresolved. Here we profile RNA expression (scRNAseq) and chromatin accessibility (snATACseq) of the zebrafish cranial neural crest lineage at single-cell resolution from embryos to adults.
DOI: 10.5281/zenodo.5044233
title: datasets

description: RDFix: An Efficient Indexing Architecture with Persistent Memory for RDF DATA
DOI: 10.5281/zenodo.5044232
title: datasets

description: RDFix: An Efficient Indexing Architecture with Persistent Memory for RDF DATA
DOI: 10.5281/zenodo.5528418
title: OpenForensics: Multi-Face Forgery Detection And Segmentation In-The-Wild Dataset [V.1.0.0]

description: OpenForensics is the first large-scale dataset posing a high level of challenges. This dataset is designed with face-wise rich annotations explicitly for face forgery detection and segmentation. With its rich annotations, OpenForensics dataset has great potentials for research in both deepfake prevention and general human face detection. Project Page: https://sites.google.com/view/ltnghia/research/openforensics
description: {"references": ["Trung-Nghia Le, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen, \"OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild\", ICCV, 2021."]}
DOI: 10.5281/zenodo.5528417
title: OpenForensics: Multi-Face Forgery Detection And Segmentation In-The-Wild Dataset [V.1.0.0]

description: OpenForensics is the first large-scale dataset posing a high level of challenges. This dataset is designed with face-wise rich annotations explicitly for face forgery detection and segmentation. With its rich annotations, OpenForensics dataset has great potentials for research in both deepfake prevention and general human face detection. Project Page: https://sites.google.com/view/ltnghia/research/openforensics
description: {"references": ["Trung-Nghia Le, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen, \"OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild\", ICCV, 2021."]}
DOI: 10.6084/m9.figshare.13400072
title: Supporting data for 'Borehole-based characterization of deep crevasses at a Greenlandic outlet glacier' published in AGU Advances

description: Supporting OPTV log and temperature data for paper 'Borehole-based characterization of deep crevasses at a Greenlandic outlet glacier' published in AGU Advances.<br>Note: Borehole temperatures were measured in immediately adjacent Boreholes 18b and 18d.
DOI: 10.6084/m9.figshare.13400072.v2
title: Supporting data for 'Borehole-based characterization of deep crevasses at a Greenlandic outlet glacier' published in AGU Advances

description: Supporting OPTV log and temperature data for paper 'Borehole-based characterization of deep crevasses at a Greenlandic outlet glacier' published in AGU Advances.<br>Note: Borehole temperatures were measured in immediately adjacent Boreholes 18b and 18d.
DOI: 10.6084/m9.figshare.13400072.v1
title: Supporting data for 'Borehole-based characterization of deep crevasses at a Greenlandic outlet glacier' published in AGU Advances

description: Supporting OPTV log and temperature data for paper 'Borehole-based characterization of deep crevasses at a Greenlandic outlet glacier' published in AGU Advances.<br>Note: Borehole 18c temperatures were actually measured in immediately adjacent Boreholes 18b and 18d.
DOI: 10.6084/m9.figshare.14473035
title: Dataset for: "Does the configuration at metal matter in Noyori-Ikariya type asymmetric transfer hydrogenation catalysts?"

description: <b><i>Noyori-Ikariya type [(arene)RuCl(TsDPEN)] complexes are widely used C=O and C=N reduction catalysts which produce chiral alcohols and amines via a key ruthenium-hydride intermediate that determines the stereochemistry of the product. Whereas many details about the interactions of the pro-chiral substrate with the hydride complex, and the nature of the hydrogen transfer from the latter to the former have been investigated over the past 25 years, the role of the stereochemical configuration at the stereogenic ruthenium centre in the catalysis has not been elucidated so far. Using operando FlowNMR spectroscopy and Nuclear Overhauser Effect spectroscopy we show the existence of two diastereomeric hydride complexes under reaction conditions, assign their absolute configurations in solution, and monitor their interconversion during transfer hydrogenation catalysis. Configurational analysis and multi-functional DFT calculations show the λ-(R,R)S configured [(mesitylene)RuH(TsDPEN)] complex to be both thermodynamically and kinetically favoured over its λ-(R,R)R isomer with the opposite configuration at ruthenium. Computational analysis of both diastereomeric catalytic manifolds show the major λ-(R,R)S configured [(mesitylene)RuH(TsDPEN)] complex to dominate asymmetric ketone reduction catalysis, with the minor λ-(R,R)R [(mesitylene)RuH(TsDPEN)] stereoisomer being both less active and less enantioselective. These findings also hold true for a tethered catalyst derivative with a propyl linker between the arene and TsDPEN ligands, and thus show enantioselective transfer hydrogenation catalysis with Noyori-Ikariya complexes to proceed via a lock-and-key mechanism.</i></b><br>
DOI: 10.5281/zenodo.5589038
title: Extended data for "RuralCovidLife: Study protocol and description of the data"

description: Extended data for "RuralCovidLife: Study protocol and description of the data" Wellcome Open Research submission
DOI: 10.5281/zenodo.5589037
title: Extended data for "RuralCovidLife: Study protocol and description of the data"

description: Extended data for "RuralCovidLife: Study protocol and description of the data" Wellcome Open Research submission
DOI: 10.5281/zenodo.5589207
title: Survey of patient advocacy groups regarding the use of AI in cancer screening

description: This file contains the results of a survey of members of patient advocacy groups affiliated with Washington University in St Louis, Stanford University and Johns Hopkins University. The survey asks about attitudes regarding different ways in which AI could be involved in the process of cancer screening. IRB approval was obtained from Washington University in St Louis.
DOI: 10.5281/zenodo.5589206
title: Survey of patient advocacy groups regarding the use of AI in cancer screening

description: This file contains the results of a survey of members of patient advocacy groups affiliated with Washington University in St Louis, Stanford University and Johns Hopkins University. The survey asks about attitudes regarding different ways in which AI could be involved in the process of cancer screening. IRB approval was obtained from Washington University in St Louis.