cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/z8yhd3sj23.5
title: Isochromatic-art: a computational dataset for digital photoelasticity studies.

description: Importance of evaluating the stress field of loaded structures lies in the need of identifying the forces which make them fail, redesigning their geometry to increase the mechanical resistance, or characterize unstressed regions to remove material. In such work line, digital photoelasticity highlights by the possibility of reveal the stress information through isochromatic color fringes, and quantifying it through inverse problem strategies. However, the absence of public data with a high variety of spatial fringe  distribution have limited developing new proposals which generalize the stress evaluation in a wider variety of industrial applications. This dataset shares a variated collection of stress maps and their respective representation in color fringe patterns. In this case, the data were generated following the computational strategy in [1], but assuming stress surfaces and patches derived from analytical stress models, 3D reconstructions, saliency maps, and superpositions of Gasussian surfaces. At total, two sets of ‘101430’ raw images were separatelly generated for stress maps and isochromatic color fringes, respectively. This dataset can be valuable for researchers interested in characterizing the mechanical response in loaded models, engineers in computer science interested in modeling inverse problems, and scientist who work in physical phenomena such as 3D reconstruction in visible light, bubble analysis, oil surfaces, and film thickness.
DOI: 10.17632/wxd98kfkrp.1
title: Supplementary Dataset on scientometrics for Additive Manufacturing for lattice structure 

description: This dataset includes data used in the study on scientometrics for Additive Manufacturing for lattice structure. It shows supplementary Data on Additive Manufacturing (AM) including keywords, word clouds and retrieved data from SCOPUS and Web of Science databases. This dataset was used for the paper by applying Scientometric science, which is based on bibliometric analysis. VOS viewer was used for establishing research patterns, visualising maps and identifying transcendental issues on Additive Manufacturing for lattice structure. Some data on Additive Manufacturing were also included, as the data were subjected to a scientometric study which looked at different parameters like publication authors, and publication's geographical location by country.
DOI: 10.17632/c7n93wfkfn.1
title: Data for: Analysis of a Limb-Specific Regulatory Element in the Promoter of the Link Protein Gene

description: XGAL staining of the initial transient transgenic mouse embryos containing -690 to +40 bp of the Hapln1 promoter, the -690Hapln1-LacZ reporter construct. The interpretation is that all of transgenic mouse share the phenotype of limb-genitalia specific expression, but the specific location in the limb varies.
DOI: 10.17632/tnpgkn94mb.1
title: LINF_300020200

description: p1/s1 nuclease
Leishmania infantum (strain JPCM5)
DOI: 10.17632/49h6jzs5ww.1
title: chip-seq  hMOF

description: CHIP-SEQ of  MOF in  SH-SY5Y
DOI: 10.17632/34gcx9vd96.1
title: Economic Resilience and Vulnerability Dataset

description: This dataset contains socioeconomic variables and vulnerability variables at the regional level in the Philippines (rainfall volume, impact of disaster, population density, forest cover and frequency of hydrometeorological disasters).
DOI: 10.6084/m9.figshare.19775152.v1
title: Dataset of Unconstrained Large Gathering Images for Person Identification and Tracking

description: This paper presents a large gathering dataset of images extracted from publicly filmed 1 videos by 24 cameras installed in the premises of Al Nabvi mosque, Madinah, Saudi Arabia. This 2 dataset consists of both raw and processed images reflecting a highly challenging and unconstraint 3 environment. The methodology for the development of the dataset consists of four core phases, 1) 4 Acquisition of videos, 2) Extraction of frames, 3) Localization of face regions, and 4) Cropping and 5 resizing of detected face regions. The raw images in the dataset consist of a total of 4613 frames 6 obtained from video sequences. The processed images in the dataset consist of the face regions of 7 250 persons which were extracted from raw data images to ensure the authenticity of the presented 8 data. The dataset further consists of 8 images corresponding to each of the 250 subjects (persons) for 9 a total of 2000 images. The dataset portrays a highly unconstrained and challenging environment, 10 where human faces of varying sizes and pixel quality (resolution) can be observed. Since the face 11 regions in video sequences are severely degraded due to various unavoidable factors, it can be used 12 as a benchmark to test and evaluate face detection and recognition algorithms for research purposes. 13 We have also gathered and displayed records of the presence of subjects who appear in presented 14 frames; in a temporal context. This can also be used as a temporal benchmark for tracking, finding 15 persons, activity monitoring, and crowd counting in large crowd scenarios
DOI: 10.6084/m9.figshare.19701937
title: Excited state intermediates in a designer protein encoding a phototrigger caught by XFEL

description: Excited state intermediates in a designer protein encoding a phototrigger caught by XFEL
DOI: 10.6084/m9.figshare.19701937.v1
title: Excited state intermediates in a designer protein encoding a phototrigger caught by XFEL

description: Excited state intermediates in a designer protein encoding a phototrigger caught by XFEL
DOI: 10.6084/m9.figshare.19754734
title: Genomic evidence that a sexually selected trait captures genome-wide variation and facilitates the purging of genetic load

description: Phenotypic data set from experimental evolution study investigating the impact of sexually selected trait expression on genetic variation. Also including a number of instructional scripts for genomic analysis.
DOI: 10.6084/m9.figshare.19754734.v1
title: Genomic evidence that a sexually selected trait captures genome-wide variation and facilitates the purging of genetic load

description: Phenotypic data set from experimental evolution study investigating the impact of sexually selected trait expression on genetic variation. Also including a number of instructional scripts for genomic analysis.
DOI: 10.6084/m9.figshare.19607253
title: A comprehensive analysis of LMO2 pathogenic landscape during T lineage development and leukemic transformation

description: anti-LMO2_ChIP-seq_mm9_p01_peaks_bedfiles RNA-seq_gene expression data IP-MS_detected member list
DOI: 10.6084/m9.figshare.19607253.v1
title: A comprehensive analysis of LMO2 pathogenic landscape during T lineage development and leukemic transformation

description: anti-LMO2_ChIP-seq_mm9_p01_peaks_bedfiles RNA-seq_gene expression data IP-MS_detected member list
DOI: 10.34740/kaggle/dsv/3959870
title: WallStreetBets 2022
DOI: 10.6084/m9.figshare.20337021
title: Raw data of in vitro experiments

description: Raw data including results of PCR experiemnt, CCK8 assay and scratch assay of introducing ACP6 siRNA into HCC cells was attached in the files
DOI: 10.6084/m9.figshare.20188466.v2
title: Growth, food intake, and preferred temperature of cold-acclimated Chinese giant salamander.

description: Growth, food intake, and preferred temperature of cold-acclimated Chinese giant salamander.
DOI: 10.57770/hfulcu
title: RAC1 activation mediates Twist1-induced cancer cell migration

description: Epithelial-mesenchymal transition (EMT), which is characterized by the suppression of the adhesion protein E-cadherin, is a crucial process that promotes metastasis and stem-like properties of cancer cells. However, the dissociation of cellular aggregates is not sufficient to explain why cancer cells move, and the motile nature of cancer cells undergoing EMT remains elusive. Here, we identify a mechanism in which the EMT inducer Twist1 elicits cancer cell movement through activation of RAC1. Twist1 cooperates with BMI1 to suppress let-7i expression, which results in upregulation of NEDD9 and DOCK3, leading to RAC1 activation and enabling mesenchymal-mode movement in three-dimensional environments. Moreover, the suppression of let-7i contributes to Twist1-induced stem-like properties. Clinically, activation of the Twist1-let-7i-NEDD9 axis in head and neck cancer patients correlates with tumour invasiveness and worse outcome. Our results uncover an essential mechanism to explain how Twist1 induces the motile stem-like cancer cell phenotype beyond simply suppressing E-cadherin.
DOI: 10.6084/m9.figshare.20188466
title: Growth, food intake, and preferred temperature of cold-acclimated Chinese giant salamander.

description: Growth, food intake, and preferred temperature of cold-acclimated Chinese giant salamander.
DOI: 10.6084/m9.figshare.20188466.v4
title: Growth, food intake, and preferred temperature of cold-acclimated Chinese giant salamander.

description: Growth, food intake, and preferred temperature of cold-acclimated Chinese giant salamander.
DOI: 10.6084/m9.figshare.20188466.v3
title: Growth, food intake, and preferred temperature of cold-acclimated Chinese giant salamander.

description: Growth, food intake, and preferred temperature of cold-acclimated Chinese giant salamander.
DOI: 10.21227/j819-rp71
title: PCB_DATA

description: Printed circuit board (PCB) defect data set. Contains about 400 images with 4 defects (mouse bite, open circuit, short circuit, spur) for image detection, classification and registration tasks.
DOI: 10.6084/m9.figshare.20337048
title: Whole genome sequencing of the redfin culter (Chanodichthys erythropterus)

description: <em>Chanodichthys erythropterus</em> is a fierce carnivorous fish widely found in East Asian waters. It is not only a popular food fish in China, it is also a representative victim of overfishing. Genetic breeding programs launched to meet market demands urgently require high-quality genomes to facilitate genomic selection and genetic research. In this study, we constructed a chromosome-level reference genome of <em>C. erythropterus</em> by taking advantage of long-read single-molecule sequencing and <em>de novo</em> assembly by Oxford Nanopore Technology (ONT) and Hi-C. The 1.085 Gb <em>C. erythropterus</em> genome was assembled from 132 Gb of Nanopore sequence. The assembled genome represents 98.5% completeness (BUSCO) with a contig N50 length of 23.29 Mb. The contigs were clustered and ordered onto 24 chromosomes covering roughly 99.49% of the genome assembly with Hi-C data. Additionally, 33,041 (98.0%) genes were functionally annotated from a total of 33,706 predicted protein-coding sequences by combining transcriptome data from seven tissues. This high-quality assembled genome will be a precious resource for future molecular breeding and functional genomics research of <em>C. erythropterus</em>.
DOI: 10.6084/m9.figshare.16438185.v1
title: Liver Spheroid

description: T. Kaseva et al: Marker-controlled Watershed with Deep Edge Emphasis and Optimized H-minima Transform for Automatic Segmentation of Densely Cultivated 3D Cell Nuclei. BMC Bioinformatics 2022.
DOI: 10.6084/m9.figshare.16438185
title: Liver Spheroid

description: T. Kaseva et al: Marker-controlled Watershed with Deep Edge Emphasis and Optimized H-minima Transform for Automatic Segmentation of Densely Cultivated 3D Cell Nuclei. BMC Bioinformatics 2022.
DOI: 10.57770/txsxav
title: Machine Learning Analysis of Time-Dependent Features for Predicting Adverse Events During Hemodialysis Therapy: Model Development and Validation Study

description: Background: Hemodialysis (HD) therapy is an indispensable tool used in critical care management. Patients undergoing HD are at risk for intradialytic adverse events, ranging from muscle cramps to cardiac arrest. So far, there is no effective HD device-integrated algorithm to assist medical staff in response to these adverse events a step earlier during HD. Objective: We aimed to develop machine learning algorithms to predict intradialytic adverse events in an unbiased manner. Methods: Three-month dialysis and physiological time-series data were collected from all patients who underwent maintenance HD therapy at a tertiary care referral center. Dialysis data were collected automatically by HD devices, and physiological data were recorded by medical staff. Intradialytic adverse events were documented by medical staff according to patient complaints. Features extracted from the time series data sets by linear and differential analyses were used for machine learning to predict adverse events during HD. Results: Time series dialysis data were collected during the 4-hour HD session in 108 patients who underwent maintenance HD therapy. There were a total of 4221 HD sessions, 406 of which involved at least one intradialytic adverse event. Models were built by classification algorithms and evaluated by four-fold cross-validation. The developed algorithm predicted overall intradialytic adverse events, with an area under the curve (AUC) of 0.83, sensitivity of 0.53, and specificity of 0.96. The algorithm also predicted muscle cramps, with an AUC of 0.85, and blood pressure elevation, with an AUC of 0.93. In addition, the model built based on ultrafiltration-unrelated features predicted all types of adverse events, with an AUC of 0.81, indicating that ultrafiltration-unrelated factors also contribute to the onset of adverse events. Conclusions: Our results demonstrated that algorithms combining linear and differential analyses with two-class classification machine learning can predict intradialytic adverse events in quasi-real time with high AUCs. Such a methodology implemented with local cloud computation and real-time optimization by personalized HD data could warn clinicians to take timely actions in advance.
DOI: 10.6084/m9.figshare.16438314
title: 12 spheroids

description: T. Kaseva et al: Marker-controlled Watershed with Deep Edge Emphasis and Optimized H-minima Transform for Automatic Segmentation of Densely Cultivated 3D Cell Nuclei. BMC Bioinformatics 2022.
DOI: 10.5281/zenodo.6809806
title: Etats de collection des revues du portail Persée : 3 visualisations de comparaison avec les états de collections papier du Sudoc

description: 3 visualisations pour comparer les états de collection en ligne des revues du portail Persée (https://www.persee.fr) avec les états de collections papier correspondants dans le Sudoc (http://www.sudoc.abes.fr). Vue globale / histogramme : états de collections dans le Sudoc d'une sélection de titres de Persée, répartis par intervalle de consultation Counter 2021 (dynamique) Vue globale / rosace : états de collections dans le Sudoc d'une sélection de titres de Persée, répartis par intervalle de consultation Counter 2021 (statique) Vue par titre : états de collection synoptiques dans Persée et le Sudoc de la revue "Économie rurale" (issn 0013-0559) Visualisations présentées lors des Journées Abes 2022. Le dataset contient également les fichiers de données qui ont permis la génération des graphiques.
description: Visualisations générées au moyen de 2 jupyter notebooks, codés à cet effet par Amélie Descollonges et Julien Colin dans le cadre de leur projet de master 2 Humanités numériques 2021-2022 (ENS de Lyon, Université Lumière Lyon 2, Université Jean Moulin Lyon 3, Enssib). Projet proposé et co-encadré par Persée et l'Abes.
description: {"references": ["Colin, J., & Descollonges, A. (2022). Evaluer l'offre de revues du portail persee.fr : Comparaison avec les collections des biblioth\u00e8ques universitaires [M\u00e9moire de projet de master 2]. ENS de Lyon, Universit\u00e9 Lumi\u00e8re Lyon 2, Universit\u00e9 Jean Moulin Lyon 3, Enssib."]}
DOI: 10.5281/zenodo.6809805
title: Etats de collection des revues du portail Persée : 3 visualisations de comparaison avec les états de collections papier du Sudoc

description: 3 visualisations pour comparer les états de collection en ligne des revues du portail Persée (https://www.persee.fr) avec les états de collections papier correspondants dans le Sudoc (http://www.sudoc.abes.fr). Vue globale / histogramme : états de collections dans le Sudoc d'une sélection de titres de Persée, répartis par intervalle de consultation Counter 2021 (dynamique) Vue globale / rosace : états de collections dans le Sudoc d'une sélection de titres de Persée, répartis par intervalle de consultation Counter 2021 (statique) Vue par titre : états de collection synoptiques dans Persée et le Sudoc de la revue "Économie rurale" (issn 0013-0559) Visualisations présentées lors des Journées Abes 2022. Le dataset contient également les fichiers de données qui ont permis la génération des graphiques.
description: Visualisations générées au moyen de 2 jupyter notebooks, codés à cet effet par Amélie Descollonges et Julien Colin dans le cadre de leur projet de master 2 Humanités numériques 2021-2022 (ENS de Lyon, Université Lumière Lyon 2, Université Jean Moulin Lyon 3, Enssib). Projet proposé et co-encadré par Persée et l'Abes.
description: {"references": ["Colin, J., & Descollonges, A. (2022). Evaluer l'offre de revues du portail persee.fr : Comparaison avec les collections des biblioth\u00e8ques universitaires [M\u00e9moire de projet de master 2]. ENS de Lyon, Universit\u00e9 Lumi\u00e8re Lyon 2, Universit\u00e9 Jean Moulin Lyon 3, Enssib."]}
DOI: 10.57770/hdleq0
title: Meta-rPPG Remote Heart Rate Estimation Using a Transductive Meta-Learner

description: Remote heart rate estimation is the measurement of heart rate without any physical contact with the subject and is accomplished using remote photoplethysmography (rPPG) in this work. rPPG signals are usually collected using a video camera with a limitation of being sensitive to multiple contributing factors, e.g. variation in skin tone, lighting condition and facial structure. End-to-end supervised learning approach performs well when training data is abundant, covering a distribution that doesn’t deviate too much from the distribution of testing data or during deployment. To cope with the unforeseeable distributional changes during deployment, we propose a transductive meta-learner that takes unlabeled samples during testing (deployment) for a self-supervised weight adjustment (also known as transductive inference), providing fast adaptation to the distributional changes. Using this approach, we achieve state-of-the-art performance on MAHNOB-HCI and UBFC-rPPG.
DOI: 10.57770/ujtoci
title: NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks

description: Deciding the amount of neurons during the design of a deep neural network to maximize performance is not intuitive. In this work, we attempt to search for the neuron (filter) configuration of a fixed network architecture that maximizes accuracy. Using iterative pruning methods as a proxy, we parametrize the change of the neuron (filter) number of each layer with respect to the change in parameters, allowing us to efficiently scale an architecture across arbitrary sizes. We also introduce architecture descent which iteratively refines the parametrized function used for model scaling. The combination of both proposed methods is coined as NeuralScale. To prove the efficiency of NeuralScale in terms of parameters, we show empirical simulations on VGG11, MobileNetV2 and ResNet18 using CIFAR10, CIFAR100 and TinyImageNet as benchmark datasets. Our results show an increase in accuracy of 3.04%, 8.56% and 3.41% for VGG11, MobileNetV2 and ResNet18 on CIFAR10, CIFAR100 and TinyImageNet respectively under a parameter-constrained setting (output neurons (filters) of default configuration with scaling factor of 0.25).
DOI: 10.34740/kaggle/dsv/3957485
title: Jisr az-Zarqa map morphology map tiles
DOI: 10.6084/m9.figshare.20337141
title: 稿件X221370相关数据.zip

description: This data is the relevant data I used in my paper.
DOI: 10.6084/m9.figshare.20337141.v1
title: 稿件X221370相关数据.zip

description: This data is the relevant data I used in my paper.
DOI: 10.6084/m9.figshare.20337144
title: Expression data.xlsx

description: Gene expression data for the manuscript. Relative expression level for cMYC, NES, OCT4, KLF4 analyzed by real-time PCR TaqMan modification.
DOI: 10.6084/m9.figshare.20337144.v1
title: Expression data.xlsx

description: Gene expression data for the manuscript. Relative expression level for cMYC, NES, OCT4, KLF4 analyzed by real-time PCR TaqMan modification.
DOI: 10.6084/m9.figshare.19499015
title: Microbial respiratory thermal adaptation is regulated by r-/K-strategy dominance

description: The study on the microbial respiratory thermal adaptation
DOI: 10.6084/m9.figshare.19499015.v2
title: Microbial respiratory thermal adaptation is regulated by r-/K-strategy dominance

description: The study on the microbial respiratory thermal adaptation
DOI: 10.6084/m9.figshare.19499015.v1
title: Microbial respiratory thermal adaptation is regulated by r-/K-strategy dominance

description: The study on the microbial respiratory thermal adaptation
DOI: 10.6084/m9.figshare.20337191
title: Proton pump inhibitor deprescription: A rapid review

description: Abstract Proton pump inhibitors (PPI) are drugs that suppress gastric acid secretion. Its use, without support from scientific evidence, can contribute to polypharmacy, lead to drug interactions and, in the long term, cause serious adverse reactions. Studies advise physicians to deprescribe PPI. A quick review of scientific evidence, also called a rapid systematic review, on the deprescribing of PPI was performed. Evidence searches were performed in the LILACS, Embase, PubMed and NICE evidence databases with the terms “omeprazole”, “proton pump inhibitors”, “deprescription”, “deprescribing”. At LILACS these descriptors were also used in Portuguese and Spanish. Of 118 studies identified, four systematic reviews were selected for analysis. Abrupt deprescribing was associated with an increased risk of symptom recurrence. Fear of symptom recurrence is one of the major barriers to patient-related deprescribing. Educational interventions directed at prescribers, pharmacists, and patients are effective strategies in the deprescribing of PPI. Deprescribing process showed to be feasible in different contexts, with different strategies. The process is most effective through actions with educational and guidance materials directed to health professionals and patients, and with the involvement or leadership of the pharmacist.
DOI: 10.6084/m9.figshare.20337191.v1
title: Proton pump inhibitor deprescription: A rapid review

description: Abstract Proton pump inhibitors (PPI) are drugs that suppress gastric acid secretion. Its use, without support from scientific evidence, can contribute to polypharmacy, lead to drug interactions and, in the long term, cause serious adverse reactions. Studies advise physicians to deprescribe PPI. A quick review of scientific evidence, also called a rapid systematic review, on the deprescribing of PPI was performed. Evidence searches were performed in the LILACS, Embase, PubMed and NICE evidence databases with the terms “omeprazole”, “proton pump inhibitors”, “deprescription”, “deprescribing”. At LILACS these descriptors were also used in Portuguese and Spanish. Of 118 studies identified, four systematic reviews were selected for analysis. Abrupt deprescribing was associated with an increased risk of symptom recurrence. Fear of symptom recurrence is one of the major barriers to patient-related deprescribing. Educational interventions directed at prescribers, pharmacists, and patients are effective strategies in the deprescribing of PPI. Deprescribing process showed to be feasible in different contexts, with different strategies. The process is most effective through actions with educational and guidance materials directed to health professionals and patients, and with the involvement or leadership of the pharmacist.