cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16695616.v1
title: dataset_ccfd.zip

description: The dataset has been released by [1], which had been collected and analysed during a research collaboration of Worldline and the Machine Learning Group (http://mlg.ulb.ac.be) of Université Libre de Bruxelles (ULB) on big data mining and fraud detection. <br>[1] Pozzolo, A. D., Caelan, O., Johnson, R. A., and Bontempi, G. (2015). Calibrating Probability with Undersampling for Unbalanced Classification. 2015 IEEE Symposium Series on Computational, pp. 159-166, doi: 10.1109/SSCI.2015.33 <br>open source kaggle : https://www.kaggle.com/mlg-ulb/creditcardfraud
DOI: 10.17632/hdzptzz8r5
title: Scripts and tutorials for indirect structural disconnection-symptom mapping by Sperber, Griffis & Kasties

description: For more information, see in the Readme files in each folder
DOI: 10.6084/m9.figshare.13468321.v1
title: Additional file 2 of ARPIR: automatic RNA-Seq pipelines with interactive report

description: Additional file 2: Table S1. List of genes differentially expressed and relative Fold Changes for the two groups in the original data.
DOI: 10.6084/m9.figshare.17949758.v1
title: Dataset: ADM neural simulator for "Inverse deep learning methods and benchmarks for artificial electromagnetic material design"

description: The neural simulator for the ADM dataset of "Inverse deep learning methods and benchmarks for artificial electromagnetic material design"<br>For the usage, please refer to github page: https://github.com/BensonRen/AEM_DIM_Bench<br>Note that this is not a .csv format dataset but a neural simulator (model weights and definition of neural networks) since for inverse benchmarking, a simple dataset of paired geometry and spectra is not enough as one need to verify the designed geometry output from inverse algorithms (the forward mapping). The ADM dataset is one of the three dataset in the paper and the only one requiring a neural simulator due to its complexity.
DOI: 10.6084/m9.figshare.22817084.v2
title: <b>Systematic and scalable genome-wide essentiality mapping to identify non-essential genes in phages</b>

description: These are supplementary tables 1-3; Data used for Fig 5 and reads to generate Fig 5 for this paper<b> "</b><b>Systematic and scalable genome-wide essentiality mapping to identify non-essential genes in phages</b><b>"</b>Denish Piya1, Nicholas Nolan2, Madeline L. Moore3, Luis A. Ramirez Hernandez3, Brady F. Cress1,4, Ry Young5, Adam P. Arkin1, 2, 3*, Vivek K. Mutalik1, 3*Innovative Genomics Institute, University of California-Berkeley, Berkeley, CA, USADepartment of Bioengineering, University of California-Berkeley, Berkeley, CA, USAEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USADepartment of Molecular and Cell Biology, University of California-Berkeley, Berkeley, CA, USADepartment of Biochemistry and Biophysics, Center for Phage Technology, Texas A&M University, College Station TX, USA*Corresponding authorsvkmutalik@lbl.gov (VKM);aparkin@lbl.gov (APA)
DOI: 10.17632/bhwn5rnybr
title: DLQI and WTP cure and control in patients with chronic skin diseases, median

description: supplemental table
DOI: 10.17632/g2zw6r492g
title: Online Self-regulated Learning and Academic Procrastination 30% Data _MA

description: This study investigated the relationship between online self-regulated learning and academic procrastination, the mediating effect of attention control, and the moderating effect of peer support. The study analyzed and processed the questionnaire data of the participants, excluding questionnaires with identical answers and contradictory choices; therefore, it generated 1149 valid responses. This provided 30% of the study’s data.
DOI: 10.17632/s2trxnzfv9
title: Replication data for Dix-Carneiro and Kovak "Margins of Labor Market Adjustment to Trade" in the Journal of International Economics

description: Replication data for Dix-Carneiro and Kovak "Margins of Labor Market Adjustment to Trade" in the Journal of International Economics
DOI: 10.6084/m9.figshare.19149827.v2
title: LOGO_dbSNP_score_chr

description: In order to provide the community a comprehensive catalog of LOGO annotated regulatory genome, we have implemented LOGO for all dbSNP reported non-coding SNPs and derive functional scores for each variant.<br><br>Example:GCF_000001405.25_chr*_filtersnv_annovar_FSResult.vcf.tar<br>
DOI: 10.6084/m9.figshare.27600216.v1
title: Data Availability- Mostafavi Mousavi et al.

description: Experimental characterization dataset (Excel Format)
DOI: 10.6084/m9.figshare.28719638.v1
title: Supplemental Data File 3

description: mRNA-seq_Vasculature_related_genes_PKD_12m_vs_WT_12m
DOI: 10.6084/m9.figshare.28904582.v1
title: <b>Diseño de un sistema integral para el manejo del CO2 en la industria cervecera artesanal</b>

description: Esta investigación se centró en el diseño, simulación y optimización de un sistema para la recuperación y almacenamiento de dióxido de carbono (CO₂) generado durante la fermentación en micro cervecerías, con el fin de reutilizarlo en el proceso de carbonatación. Mediante el uso del software Aspen Plus, se modeló un sistema basado en absorción química con metildietanolamina (MDEA), logrando una eficiencia de captura del 97.25% y una pureza del 99% en el CO₂ recuperado. Se evaluaron las condiciones operativas óptimas, incluyendo temperatura, presión y caudal, y se analizaron las etapas clave de absorción, regeneración del solvente, separación de impurezas y control de flujo.<br>El estudio permitió comparar el volumen de CO₂ capturado con las necesidades reales de carbonatación por lote de producción, demostrando la viabilidad técnica del sistema para reducir significativamente la dependencia de fuentes externas. Además, se identificaron los estándares internacionales de calidad para uso alimentario, destacando que, aunque el sistema propuesto se aproxima a dichos requerimientos, podría requerir una etapa adicional de purificación para cumplir normativas como las del Codex Alimentarius.<br>Los resultados obtenidos representan un aporte valioso hacia la sostenibilidad en la industria cervecera, permitiendo un uso más eficiente de los subproductos de la fermentación y una reducción potencial en la huella de carbono. Este trabajo sienta las bases para futuras implementaciones a escala piloto y abre nuevas posibilidades para integrar tecnologías de economía circular en pequeñas y medianas cervecerías.<br>
DOI: 10.6084/m9.figshare.28262693.v1
title: <b>YO-AFD: An improved YOLOv8-based deep learning approach for rapid and accurate apple flower detection</b>

description: <b>runs\detect\train\weights: best.pt</b><b>images\train: dataset</b>
DOI: 10.17632/dfsf6n6g7y
title: Data for: Crystal structure classification in ABO3 perovskites via machine learning

description: 1. List of all 5329 ABO3 perovskite-type oxides (Microsoft Excel Worksheet (.xlsx)) 2. List of all 675 ABO3 perovskite-type oxides used in this study (Microsoft Excel Worksheet (.xlsx))
DOI: 10.17632/t6rjhg4h3p
title: illusion of control by proxy

description: The data investigates the illusion of control by proxy in games of chance - an attempt to exert control by assigning it to others who are perceived as more capable, or luckier. Following up on research by Wohl & Enzle, who showed participants’ preference to ask lucky others to play a lottery instead of doing it themselves, we included proxies with positive and negative qualities in the agency and communion, as well good and bad luck. In three experiments (total N = 249) we tested participants’ choices between proxies and a random number generator in a task consisting of obtaining lottery numbers.
DOI: 10.6084/m9.figshare.20267901.v1
title: Untitled1.sav

description: data
DOI: 10.6084/m9.figshare.25242010.v1
title: USPTO 2M USA Patent information dataset

description: USPTO-2M is a dataset which download from United State Patent Trademark Office. It contains 2 million records which have cleaned and organized into JSON format.It could work as a benchmark dataset for patent classification task.Provided by Jie Hu from Guzhou University of Finance and Economics and Dr. Jianjun Hu at University of South Carolina.Citation: Li, Shaobo, Jie Hu, Yuxin Cui, and Jianjun Hu. "DeepPatent: patent classification with convolutional neural networks and word embedding." <i>Scientometrics</i> 117 (2018): 721-744.<br>a sample of our data. { "Subclass_labels": [ "A43B", "A41D", "A43C" ], "Abstract": "a decorative and or promotional accessory to be secured to a lace such as a shoe lace includes a molded plastic body having a passage longitudinally extending therethrough from a first opening to a second opening the passage is sized and shaped to receive the lace therethrough and to frictionally secure the body in a desired position along the lace the accessory also includes indicia provided on an exterior surface of the accessory which can be in the form of any desired message name number logo graphic or the like an alternative embodiment of the accessory is disclosed which is to be secured to a cap bill this embodiment includes a slot radially extending to the passage which is sized and shaped to receive the cap brim therein and to resiliently grip the bill and removably secure the accessory in a desired position along the bill", "Title": "accessory for shoe laces hat brims and the like", "No": "US08925116" }<br><br>
DOI: 10.17632/dvntn9yhd2
title: Covid19-Pneumonia-Normal Chest X-Ray Images

description: - It is a medical images directory structure branched into 3 subfolders (COVID, NORMAL, PNEUMONIA) containing Chest X-ray (CXR) Images.
- All images are preprocessed and resized to 256x256 in PNG format.
- It helps the researcher and medical community to detect and classify COVID19 and Pneumonia from Chest X-Ray Images using Deep Learning.

COVID-19: 1626 images
NORMAL: 1802 images
PNEUMONIA: 1800 images


References:
-If you are using this dataset for research purposes then cite the below articles:

1. Shastri, S., Kansal, I., Kumar, S. et al. CheXImageNet: a novel architecture for accurate classification of Covid-19 with chest x-ray digital images using deep convolutional neural networks. Health Technol. 12, 193–204 (2022). https://doi.org/10.1007/s12553-021-00630-x

2. Kumar S, Shastri S, Mahajan S, et al. LiteCovidNet: A lightweight deep neural network model for detection of COVID-19 using X-ray images. Int J Imaging Syst Technol. 2022;1‐17. DOI: https://doi.org/10.1002/ima.22770
DOI: 10.17632/yf95827h5x
title: Defining, articulating, and operationalizing the new urban water paradigm

description: RIS file with 148 key sources used in the literature review of the article "Defining, articulating, and operationalizing the new urban water paradigm" Abstract: Urban water systems (UWSs) in industrialized countries have underpinned unprecedented improvements in urban living standards through effective drinking water supply, sanitation and drainage. However, conventional UWSs are increasingly regarded as too rigid and not sufficiently resilient to confront growing social, technological and environmental complexity and uncertainty, manifested, for example, in the maladaptation to climate change, limited resources, and degrading urban livability. In response, a new urban water paradigm has emerged in the last two decades, which, so far, has remained ambiguous and incoherently articulated. Based on a review of 148 peer-reviewed sources, this article proposes and applies an analytical framework to coherently describe the new paradigm and contrast it with the old urban water paradigm. The framework includes a philosophical foundation and set of methodological principles that shape the new paradigm’s approach to governance, management, and infrastructure. Our proposed definition and articulation of the paradigm helps to bridge the numerous proposed alternative water management frameworks, which offer useful directions forward but are often fragmented and ambiguous.
DOI: 10.6084/m9.figshare.19209456.v2
title: Relative Fat Mass in pediatrics

description: Raw Data.
DOI: 10.6084/m9.figshare.25241488.v1
title: official dataset for the article, entitled as "Soil tillage effect on the control of invasive Spartina anglica in a coastal wetland" in the publication of a journal of <i>Wetlands Ecology and Management</i>

description: <i>Spartina anglica</i>, an invasive marsh grass, was designated as a harmful marine organism in 2016 due to its ability to stabilize mudflats and reduce macrobenthic diversity. To control such invasive species, physical, chemical, or biological methods can be applied while chemical methods are prohibited by law due to ecological disruption. However, the preferred methods of soil tillage, cutting, and native plant restoration for managing <i>S. anglica</i> have rarely been analyzed. To compare the methods, we performed 9 treatments with four replicates, comprising control, different frequencies of clipping (once and twice) and tilling (once and twice), and different densities (50 and 100 seedling) of restoration of the native plants <i>Suaeda japonica</i> and <i>Phragmites australis</i>. To evaluate the severity of disturbance, we measured coverage, stem density, average plant height, and above-ground biomass for two years. We found <i>P. australis</i> and <i>S. japonica</i> did not successfully establish or survive due to niche differences and the inherent biological features of<i> Spartina</i>. However, physical removal had a stronger effect than interspecific interaction. Two cutting treatments in the early and the late growing season reduced plant height and biomass of <i>S. anglica</i> by 6% and 34%, respectively, compared with the control treatment at the rapid vegetative growth stage in the following year. We also found that two tillage treatments reduced biomass, plant cover, and stem density by 32%, 38%, and 83%, respectively, in the following year. In the study site, managing invasive species such as <i>S. anglica</i> is best achieved by physically destroying the plant using soil tillage while attempting to such as <i>S. anglica</i> demands complete physical destroy by several attempts of soil tillage while attempt to restore native species had marginal control effects.
DOI: 10.6084/m9.figshare.26075638.v1
title: Supplementary Material for: When Uveitis and Hypotony Meets Bilateral Iris Retraction Syndrome: A Rare but Serious Complication of Nivolumab Treatment

description: Purpose: Iris retraction syndrome (IRS) is a rare clinical condition characterized by a backbowing of the iris appositioned on the lens with complete pupillary block. Immune checkpoint inhibitors (ICIs) are a new class of immunomodulating agents used in cancer therapy, and although they have high response rates, ophthalmic-related side effects have been reported. We report a rare case of bilateral IRS with hypotony after therapy with Nivolumab.

Methods and Results: We present a case of bilateral IRS with hypotony, 3mmHg OD and 5mmHg OS, after therapy with Nivolumab. The patient presented with decreased vision, corneal edema, keratic precipitates, deep anterior chamber with posterior synechiae and hypotony maculopathy. AS-OCT revealed a sharp posterior displacement of the iridolenticular diaphragm consistent with IRS. Discontinuation of Nivolumab until ocular improvement was suggested, following oncologic consultation. Four months later the patient exhibited iris bombé with angle closure and increased IOP. This was managed with phacoemulsification and concomitant surgical iridectomy. One month after surgery, the patient's IOP had returned to physiologic values, and iris configuration had returned to normal. 
Conclusion: The exact mechanism of IRS remains unclear, but it is suggested that an aqueous imbalance, in conjunction with uveitis and hypotony, creates an anterio-posterior movement of the iridolenticular diaphragm when pupillary block is present. Our case highlights the importance of monitoring patients receiving ICIs for ophthalmic adverse effects and prompt management to prevent permanent visual damage. In conclusion, this is the first reported case of IRS after therapy with ICIs. Further research is needed to fully understand the exact mechanism by which it is induced.
DOI: 10.6084/m9.figshare.28862372.v1
title: OASIS Dataset.zip

description: The benchmark database OASIS for Alzheimer's Disease Analysis
DOI: 10.6084/m9.figshare.28877369.v1
title: <b>MACEDONIA OS: A Unified Scalar Field-Based Consciousness and Operating System Architecture</b>

description: A novel operating system and consciousness modeling structure based on the A+M[S] framework, integrating Core Lattice Collapse (CLC), Core Lattice Unit (CLU) timing, Scalar Field Emergent Engine (SFEE), House System scaling, and Sacred Geometry pattern encoding. Created and authored by Jeffrey Siergiej.NOTE TO ALL USERS:<br>This work, MACEDONIA OS and A+M[S], is licensed for personal, research, and educational use only.<br>Commercial use, resale, modification, or repackaging is prohibited without the express written consent of the creator, Jeffrey Siergiej.<br>Unauthorized commercial use will be considered infringement.<br>Protected under Common Law Copyright and DMCA.<br><br>
DOI: 10.6084/m9.figshare.6007688.v1
title: GoogleNews-vectors-negative300.bin

description: It's a pre-trained word2vec model by google for sentiment analysis.
DOI: 10.6084/m9.figshare.5500777.v1
title: Source Code and sample data for RNFL defect analysis

description: This software can be measured retinal nerve fiber layer defect angle (RNFLDA) by using a volume data of optical coherence tomography (OCT). "DATA1.zip" is a sample dataset. For the operation, refer to the operation manual "RNFLDA measurement software operation manual_rev1.pdf".
DOI: 10.17632/dvrscpc6vc
title: Javanese Gamelan Notation

description: This dataset is a collection of notations of several Javanese gamelan songs that are composed with several instruments in the gamelan, such as: saron, demung, slenthem, peking, bonang barung, bonang penerus, kenong, kethuk, kempyang, kempul, gong cilik, and gong gedhe instruments.
DOI: 10.6084/m9.figshare.28938248.v1
title: mor_ssDNA/dsDNA_gene_ssDNA/dsDNA_C.hesperidum..pzfx

description: Invented in 2008, CUAD biotechnology is among three cost-effective antisense technologies used for insect pest control (RNAi, CUAD, and CRISPR/Cas) based on the formation of duplexes of unmodified nucleic acids (RNAi: guide RNA-mRNA; CUAD: guide DNA-rRNA; CRISPR/Cas: guide RNA-genomic DNA) and action of nucleic acid-guided nucleases (RNAi: Argonaute; CUAD: RNase H; CRISPR/Cas: CRISPR-associated protein). It is amazing that simple CUAD-based ‘genetic zipper’ method is so efficient for IPM.
DOI: 10.17632/m53xds7yvt
title: EXPERIMENTAL RECORD-Slug Attenuation

description: Two phase Flow Loop Experimental Data recordings obtained during Slug flow attenuation experiment as described in the included schematic.
the raw data, the summary and its corresponding graphs and flow regime map are included in the excel file.
The recorded data show that using a closed end pipe as a dampening volume for the slug flow the recorded data, show that dampening volumes are effective in reducing the slug severity.
DOI: 10.17632/m2cwkj8ff4
title: FTSE20 future mispricing

description: The mispricing dataset for "Athanasios P. Fassas (2011). Mispricing in stock index futures markets - the case of Greece. Investment Management and Financial Innovations, 8(2), pp. 101-107."
DOI: 10.17632/syb6twd96n
title: AN EMPIRICAL STUDY OF DIGITAL LENDING IN INDIA AND THE VARIABLES ASSOCIATED WITH ITS ADOPTION

description: As a fresh and trending occurrence in today's world, digital lending in India has piqued my curiosity for research. FinTech use has increased significantly in recent years, particularly during the pandemic. From the days when pawnshops would lend money in exchange for collateral to the present day, when sophisticated technology is utilised to carry out credit underwriting, the backdrop of lending organisations has changed dramatically over the last century. This research helps to get to know about numerous digital lending platforms that are popular among users, as well as the factors that influence digital lending platforms.
DOI: 10.6084/m9.figshare.11871888.v1
title: Plants with genetically encoded autoluminescence

description: <b>Supplementary Data from the manuscript "Plants with genetically encoded autoluminescence".</b><br><b>Folder "01. Raw files from IVIS Spectrum CT": <br></b>source images for Supplementary Figure 6. <br><b>Folder "02. Raw files from Sony Alpha ILCE-7M3 camera":</b> <br>photos with ISO 3200 and shutter speed 30 sec (source for Supplementary Figure 4d), as well as with ISO 20000, with corresponding dark frames captured with the same settings but with objective lens closed. Also, a photo with 500 ms exposure and ISO 204800. Images were acquired with Samyang 35mm T1.5 ED AS UMC VDSLR lens, T = 1.5, the distance between the camera sensor and the samples was 40 cm. <br><b>Folder "03. Analysis of luminescence intensity":<br></b>contains analysis of luminescence intensity of plant tissues.<br><br><b>Folder "0</b><b>4. Plasmid sequences</b><b>":<br></b>contains maps of plasmids used in the study. <br><br>- - -<br>Please note that this Supplementary Data submission is related to the version of the paper published in Nature Biotechnology. It is different from the version submitted with the original Biorxiv publication of the paper (https://www.biorxiv.org/content/10.1101/809376v1). Specifically, Biorxiv-related submission lacks plasmid maps and only contains analysis of luminescence from flowers, not from other tissues.
DOI: 10.6084/m9.figshare.6867683.v1
title: Raw Data for Choice Under Conditions of Uncertainty

description: Data for all sessions in "Choice Under Conditions of Uncertainty"
DOI: 10.6084/m9.figshare.6983246.v3
title: A Model Predicting Unscheduled Caesarean Section.sav

description: Prospective cohort study consisted of nulliparae giving birth between the 37th and 42nd weeks of singleton low-risk pregnancy, with the fetus in vertex position and without primary indication for CS. Selected prenatal and intranatal factors were analyzed in relation to acute CS due to a failure to progress in labor and/or fetal distress. Using logistic regression analysis (LR1-3) and the classification tree method (chi-square automatic interaction detector 1-2), five prediction models were tested.
DOI: 10.25452/figshare.plus.20425416.v1
title: Inference Dataset for Paper: Deep learning-based approach to the characterization and quantification of histopathology in mouse models of colitis, PLoS One

description: Colitis mouse models have been heavily studied to elucidate the pathophysiology of human inflammatory bowel disease. As with patients, colitis mouse models exhibit the simultaneous presence of colonic regions that are histologically involved or uninvolved with disease. We have trained a ResNet-34 classifier to detect these regions from hematoxylin and eosin-stained whole murine colons. ‘Involved’ and ‘uninvolved’ image patches were gathered to cluster and identify histological patch classes. The per mouse proportions of these patch classes were then used to train machine learning classifiers to infer mouse model and clinical score bins. This dataset contains the whole slide images (WSIs) from our prospective mouse cohort. This allows others to run our code from WSI scaling and patch extraction to 1) patch-level ‘Involved’ and ‘Uninvolved’ predictions, 2) ‘Involved’ versus ‘Uninvolved’ prediction WSI overlay generations, 3) histological patch class detection, and 4) mouse model and clinical score bin inference.
DOI: 10.6084/m9.figshare.20980939.v1
title: Fibroblast growth factor 23 level modulates the hepatocyte’s alpha-2-HS-glycoprotein transcription through the inflammatory pathway TNFα/ NFκB

description: Detailed data concerning WB-CHIP and IF quantification
DOI: 10.6084/m9.figshare.29083502.v1
title: Gridded data of embodied carbon from sand

description: 5,538,063 records are weight in urban building ECE of sand in two urban agglomerations from 2000 to 2020 at 500×500m grid scale.