cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/yc85kh2bjz.1
title: Data for: SPiQE integrates active voluntary identification to enhance fasciculation analysis in amyotrophic lateral sclerosis

description: Table of results for all AVID strategies on 165 30-minute recordings, including fasciculation counts, exclusion times and data quality.
DOI: 10.17632/y2dy8skf9d.1
title: S4 : A free electromagnetic solver for layered periodic structures

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract We describe S4, a free implementation of the Fourier modal method (FMM), which has also been commonly referred to as rigorous coupled wave analysis (RCWA), for simulating electromagnetic propagation through 3D structures with 2D periodicity. We detail design aspects that allow S4 to be a flexible platform for these types of simulations. In particular, we highlight the ability to select different FMM formulations, user scripting, and extensibility of program capabilities for eigenmode computat... Title of program: S4 Catalogue Id: AEMO_v1_0 Nature of problem Time-harmonic electromagnetism in layered bi-periodic structures. Versions of this program held in the CPC repository in Mendeley Data AEMO_v1_0; S4; 10.1016/j.cpc.2012.04.026
DOI: 10.17632/dxyvxk6h96.2
title: Indoor Temperature and Relative Humidity dataset

description: The dataset in this article contains the information about the indoor temperature and relative humidity, acquired during a month with twelve sensors for Xiaomi Mijia at the laboratory of Control Systems and Robotics of the Instituto Tecnológico Metropolitano, Medellín – Colombia. The data were collected from October 1 to November 30, 2019, under uncontrolled operating conditions. The dataset consists of a total of 2,100,495 values distributed in the timestamp, temperature, and relative humidity, contained in a mat file. The first column corresponds to the timestamp, the next twelve columns correspond to the relative humidity measurements and the last twelve columns correspond to the temperature measurements. In addition, the data are presented in text format separately in twelve files that contain on each line the values of the timestamp, relative humidity, and temperature separated by commas. Each file contains an average of approximately 58,300 values of each variable.
DOI: 10.17632/ydhvyy52wb.1
title: Eight numbers of lights is forming particle

description: Today's social progress is entirely a gift of science, but if we look closely, we can easily see that our progress has been made possible by the discovery of the great scientists of the past and the knowledge they have imparted. But the great scientists of the past have shown us only by mathematical solutions. They never imagined that humans would one day travel to space, or that they would actually reach different ‘PLANETS ORBITING THE SUN’. Even today no one has been able to scratch the mathematical or discovery given to them. I respect their contribution. Encouraged by the information that previous scientists have gone through here, I have written each of my articles. I have discussed the structure of atoms and the relationship of light with electrons, protons, neutrons in each of my previous articles. I look at each article from different angles and from different perspectives; I have tried to prove their authenticity by calculating the atomic and light constants, quantum etc. by mathematics. I here would like bring to your attention that whatever is my identity today as scientific inventor from a under developed town of India, where there is no any scope and support from any Govt. or social organization towards this type of research but has to done on my own sacrificing my day to day family needs, is due to Social Media’s (Blog, Twitter, Facebook, Google) and few number of great international organization’s (Like Mendeley data, datacite, Elsevier, narcis.nl. figshare, worldcat, ORCID etc.) kind attention towards my work on "Atomic mass energy primary colour" & “Atomic Mass Energy and Constant.” etc. I know all these discoveries of mine are now a matter of neglect but one day it will be very necessary in the world of science. It’s not an expression of my arrogance, it’s my belief.
DOI: 10.17632/z55c36y2nw.1
title: Mendeley Publication Dataset (2008-2019)

description: The Mendeley research & publication dataset, which was indexed by Scopus from 2008 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/mgmxv5tjt2.1
title: Labeled Image Dataset of Generated Porous Electrode Microstructures and Calculated Transport Parameters for Neural Network Training

description: A dataset of 100,000 computer-generated images that represent Lithium-ion battery microstructures is provided in the 'images.zip' file. The binary 64x64 TIFF images show sample porous electrodes, with roughly 1-20 randomly generated and placed particles. Analysis performed demonstrates that the images reflect realistic electrodes by comparing porosity and specific surface area in addition to visual inspection. This dataset includes images with a variety of particle sizes, roughness, and orientation to encapsulate various electrode chemistries. 

For each image, the effective diffusion and conductivity tensors are calculated by solving a partial differential equation (PDE) closure problem. These calculated values are provided as .txt files in the 'diffusion.zip' compressed folder. This dataset can be used to examine the relationship between microstructural geometry and effective transport parameters of the porous media.
DOI: 10.17632/wb3ndt69gf.4
title: Dataset from the US Peer-to-peer Lending Platform with Macroeconomic Variables

description: We aggregate the United States (US) state-level data with LendingClub's loan book covering the period from 2008–2019. LendingClub is a FinTech lending company that provides loans through technology-driven platform. It was one of the pioneering and leading US peer-to-peer (P2P) lending platforms. Our dataset consists of over two million observations (N=2,703,430) with diverse loan, borrowers and state specific features. We provide the description of variables, descriptive statistics, and STATA code with the full dataset. The US possesses significant cross-state variation in terms of economic and demographic characteristics while having risk-sharing policies in the federal level to protect states' creditworthiness. This unique feature of our combined database creates an ideal opportunity to explore the P2P lending market within the context of macroeconomic variables. As the dataset covers 12-year period for all US states, it enables further cross-sectional and longitudinal analyses of FinTech lending market.
DOI: 10.17632/bkhbpvtg7h.1
title: The architecture of SARS-CoV-2 transcriptome. Kim et al
DOI: 10.17632/dzxx4wh75n.1
title: Slag Composition Data for: Legacy Iron and Steel Wastes in the UK: Extent, Resource Potential, and Management Futures.

description: Review of published UK iron and steel slag chemical composition data supplemented with previously unpublished data held by the authors. Composition data is used to estimate the national inventory of metal resources within slags based on estimates of slag volume across mainland UK (see the main article for details). Carbon sequestration potential was calculated using published carbonation rates of three existing carbonation management approaches.
DOI: 10.17632/smvny46yrg.1
title: S&P 500 Index

description: S&P 500 Index open, high, low and close values from 02/01/1983 to 10/18/2019. Frequency 1 minute. Source: pytrading.com
DOI: 10.17632/4zm6jh8jkd.1
title: Fatigue Monitoring of Composites (F-MOC) dataset

description: Dataset for reproducing the results of the third dataset, namely the Fatigue Monitoring of Composites (F-MOC) dataset, of the paper "A robust generalized deep monotonic feature extraction model for label-free
prediction of degenerative phenomena". 

The setup comprises a 100 kN MTS fatigue controller connected to a bench machine, an impact cannon, an acoustic emission system, and two cameras used for DIC measurements. The cameras are capturing images of the specimen periodically every 50 seconds. To capture the acoustic emission signals generated during fatigue, an AMSY-6 Vallen Systeme GmbH, an 8-channel AE system with a sampling rate of 2 MHz, was utilized. A single broadband single-crystal piezoelectric transducer was affixed to the side of specimens using a clamping device situated between the lower grip of the fatigue machine and a safety aluminum cylinder. Ultrasound gel was applied for optimal acoustical coupling between the sensor and specimen surfaces. To ensure proper connectivity, a standard pencil lead break procedure verified the specimen-sensor connection before both the fatigue test and setting the threshold at 50 dB. The material at hand is a unidirectional Prepreg tape Hexply® F6376CHTS(12K)-5-35. The laminate is manufactured using a hand lay-up of [0/45/90/ -45] and is cured in an autoclave at a temperature of 180 Celsius and pressure of 9 bar for 120 minutes as recommended by the manufacturer. The laminate is consequently cut to obtain specimens of 400 mm x 45 mm with an average thickness of 2.28 mm.

The steps to reproduce the dataset are shown below. Additional details about the experimental setup can be found at the relative link at the end of this page.
DOI: 10.17632/cmvmnnmn4t.1
title: Endophytic microbiome diversity and functional profiles of Huanglongbing-infected citrus revealed by shotgun metagenomics sequencing data

description: This work reports the endophytic microbiome diversity and functional profiles of Huanglongbing-infected citrus grown in Dak Lak, Vietnam, by shotgun metagenomics sequencing data.
DOI: 10.17632/548vtzjbyf.2
title: Data for: (DerainNet) Single-image Rain Removal Using Residual Deep Learning

description: Most outdoor vision systems can be influenced by rainy weather conditions. We present a single-image rain removal method, called ResDerainNet.The proposed network can automatically detect rain streaks and remove them. Based on the deep convolutional neural networks (CNN), we learn the mapping relationship between rainy and residual images from data. Furthermore, for training, we synthesize rainy images considering various rain models. Specifically, we mainly focus on the composite models as well as orientations and scales of rain streaks. In summary, we make following contributions; - A residual deep network is introduced to remove rain noise. Unlike the plane deep network which learns the mapping relationship between noisy and clean images, we learn the relationship between rainy and residual images from data. This speeds up the training process and improves the de-raining performance. - An automatic rain noise generator is introduced to obtain synthetic rain noise. Most de-raining methods create rain noise by using Photoshop. Since synthetic rain noise has many parameters, it is difficult to automatically adjust these parameters. In our method, we can easily change some parameters on MATLAB, which saves time and effort to get natural rain noise. - A combination of linear additive composite model and screen blend model is proposed to make synthetic rainy images. In order for the training network to be applicable to a wide range of rainy images, only one composite model is not enough. Our experimental results show that a combination of these models achieves better performance than using either model.
DOI: 10.17632/yxycfh8ydg.1
title: Dataset from seasonal hydrogen storage in the modified Norne model using Eclipse 100 Solvent simulator

description: Numerical dataset from our manuscript “Seasonal hydrogen storage in a depleted oil and gas field”, published in the International Journal of Hydrogen Energy: https://doi.org/10.1016/j.ijhydene.2021.05.030 

The dataset includes a zip-archive with Eclipse input files and an Excel with the simulation results. The zip-archive includes the Eclipse datafiles (*.DATA) of the modified Norne solvent model and the include-files (*.INC) created specifically for hydrogen storage simulation, with two folders: HIST and PRED. The HIST folder includes a hypothetical depletion of the Norne field to prepare the model for hydrogen storage study. The PRED folder includes an actual hydrogen storage study. The datafiles are named according to Table 2 in the paper. 

To run the Solvent model, you first must download the original Norne model from: https://opm-project.org/?page_id=559, and then copy our data- and include-files to the INCLUDE directory in the Norne model. 

Datafiles are made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/ The authors hold copyright to all contents.
DOI: 10.17632/yynb8t9x3d.2
title: Real-World PPG dataset

description: Photoplethysmograph (PPG) is a physiological signal used to describe the volumetric change of blood flow in peripherals with heart beats. A hardware configuration is employed to capture PPG signals from a number of persons using an IoT sensor. This dataset contains PPG signals from 35 healthy persons , with 50 to 60 PPG signal for each one. The age range of participants is 10-75 years, with an average age of 28.4 years. Each PPG signal contains 300 samples (6 seconds recording) with 50 sample/second sampling rate. The dataset is split into two files: one for training the ANN which contains 1374 PPG signal (about 66% of complete dataset), and the other file to test the ANN which contains 700 PPG signal (about 34% of complete dataset).
DOI: 10.17632/4ytft6zgk7.2
title: An efficient way to determine Liouvillian first integrals of rational second order ordinary differential equations

description: The Lie and Darboux methods to obtain Liouvillian first integrals of rational second order ordinary differential equations (rational 2ODEs) are very powerful. Nevertheless, there are cases where these procedures may encounter difficulties. Namely, when the Darboux polynomials present in the integrating factor of the 2ODE have a very high degree and/or when the 2ODE does not admit point symmetries. In [3], [4] we developed a method (S-function method) that is successful in treating certain classes of rational second order ordinary differential equations that are particularly ‘resistant’ to canonical Lie methods and to Darbouxian approaches. However, although determining the S-function is in general much more efficient than determining Darboux polynomials or nonlocal symmetries, for very complicated rational 2ODEs, even finding the S-function itself can be quite hard. In this work we present a simple way of (in almost all cases) computing the S-function with a very efficient procedure.
DOI: 10.17632/f6f3y6ndgw.1
title: Indonesian Muslim Student Face Dataset (IMSFD)

description: Indonesian Muslim Student Face Dataset is a face image dataset designed to facilitate facial analysis or facial recognition research. The dataset encompasses a wide range of demographic attributes including diverse genders, ethnicities, and poses. Images were collected using various capture devices such as CCTV, Webcam, Front and Back Smartphone cameras, and DSLR camera, ensuring a diverse representation of facial characteristics and imaging conditions. The dataset underwent rigorous pre-processing, including frame extraction from video, accurate face detection, and precise cropping, resulting in standardized face images that effectively isolate and emphasize facial features.
DOI: 10.17632/ntzgg66h4x.1
title: RDDI_Dataset 

description: This data represents the ten indicators used to build the Regional Digital Development Index at the district level in Indonesia. This data is an aggregation of raw data from Susenas Core and Susenas Consumption Module for the years 2015 to 2019 that were collected from Statistics Indonesia-BPS at https://silastik.bps.go.id/v3/index.php/mikrodata/view/R24rZTZ5V2ZJenNFTitvVHU4ZFFoUT09
DOI: 10.17632/bn7ytz4mfz.1
title: Substantial contribution of iodine to Arctic ozone destruction - data 

description: The data includes:
1) Halogen oxide data as a part of Figure 1 (brodata.csv and iodata.csv). These are the full time-series of the IO and BrO data observed by the MAX-DOAS instrument during the MOSAiC expedition. It includes the time, latitude, longitude, the mixing ratio of the species and the uncertainty of the observation.
2) The GPS data in pickle format (gpsdata.pkl python database) - includes the date/time (UTC) along with the position of the ship (latitude/longitude) for the whole campaign.
3) Bromine containing trace gas signal using the CPI-TOF (MOSSAiC_Br_Spring_Data_BrSignal.txt). This includes the Br signal observed during the spring season during MOSAiC. The file includes the date, time and the signal observed by the instrument.
4)  The THAMO box model code and results that were used to make figure 2 (THAMO-box-IOyr-MOSAIC2020.rar)
DOI: 10.17632/3fk4wm7vf6.1
title: Survey data to evaluate consumer behaviour and consumption pattern of sustainable apparel: A study on consumer awareness level.

description: A consumer survey was conducted in Uttar Pradesh in five major cities Lucknow, Kanpur, Agra, Varanasi, and Meerut District, from 2022 to 2023 to understand consumer awareness and consumer behaviour towards Sustainable Apparel.
DOI: 10.17632/kvnj4kxvbr.1
title: Raw data for ITS and 18S Metagenomics of wild Brassica napus 

description: Microbiome dataset of eukaryotic and fungal communities in the bulk soil and root of wild Brassica napus in South Korea.

ASV tables contained a relative abundance of each ASVs, sequences, and taxonomic information.
DOI: 10.17632/7cxzdmpnpn.1
title: Relationship between plant diversity and soil environment in urban remnant mountains: a comparative analysis for two types of karst urban remnant mountains

description: The dataset includes all data for "Relationship between plant diversity and soil environment in urban remnant mountains: a comparative analysis for two types of karst urban remnant mountains". It comprises the plant community composition, plant diversity, and soil physicochemical properties data for each sampling site.
DOI: 10.17632/9d5499gb8x.1
title: In Vivo CRISPR Screens Identify E3 Ligase Cop1 as a Modulator of Macrophage Infiltration and Cancer Immunotherapy Target

description: Despite remarkable clinical efficacy of immune checkpoint blockade (ICB) in cancer treatment, ICB benefits in triple-negative breast cancer (TNBC) remain limited. Through pooled in vivo CRISPR knockout (KO) screens in syngeneic TNBC mouse models, we found that deletion of the E3 ubiquitin ligase Cop1 in cancer cells decreases the secretion of macrophage-associated chemokines, reduces tumor macrophage infiltration, enhances anti-tumor immunity, and strengthens ICB response. Transcriptomics, epigenomics, and proteomics analyses revealed that Cop1 functions through proteasomal degradation of the C/ebpδ protein. Cop1 substrate Trib2 functions as a scaffold linking Cop1 and C/ebpδ, which leads to polyubiquitination of C/ebpδ. In addition, deletion of the E3 ubiquitin ligase Cop1 in cancer cells stabilizes C/ebpδ to suppress the expression of macrophage chemoattractant genes. Our integrated approach implicates Cop1 as a target for improving cancer immunotherapy efficacy in TNBC by regulating chemokine secretion and macrophage infiltration in the tumor microenvironment.
DOI: 10.17632/ky63cwkf4h.2
title: Data Extracted from Selected Primary Studies

description: This dataset consists of a list of data that have been extracted from selected primary studies and it is used as part of the analysis for our research paper entitled "Application of Deep Learning in Software Defect Prediction: Systematic Literature Review and Meta-analysis."
DOI: 10.17632/4swk36hbvz.1
title: WEBNET Data 2008-2018

description: The dataset consists of waveforms of selected microearthquakes that occurred in the West Bohemia region, Czech Republic in the period of 2008-2018. The data have been collected by the local seismic network WEBNET, which monitors the seismicity in this area. For more information about the WEBNET network, see https://www.ig.cas.cz/en/observatories/local-seismic-network-webnet/. A detailed analysis of the seismicity in the West Bohemia region can be found in the following papers: Čermáková, H., & Horálek, J. (2015). The 2011 West Bohemia (Central Europe) earthquake swarm compared with the previous swarms of 2000 and 2008. Journal of Seismology, 19, 899–913. doi: 10.1007/s10950-015-9502-3. Fischer, T., Horálek, J., Hrubcová, P., Vavryčuk, V., Bräuer, K., & Kämpf, H. (2014). Intra-continental earthquake swarms in West-Bohemia and Vogtland: a review. Tectonophysics, 611, 1-27. doi: 10.1016/j.tecto.2013.11.001. Fischer, T., Horálek, J., Michálek, J., & Boušková, A. (2010). The 2008 West Bohemia earthquake swarm in the light of the WEBNET network. Journal of Seismology, 14, 665–682. Jakoubková, H., Horálek, J., & Fischer, T. (2017). 2014 mainshock-aftershock activity versus earthquake swarms in West Bohemia, Czech Republic. Pure and Applied Geophysics, 175(3). doi: 10.1007/s00024-017-1679-7. Vavryčuk, V., & Adamová, P. (2018). Detection of stress anomaly produced by interaction of compressive fault steps in the West Bohemia swarm region, Czech Republic. Tectonics, 37, 4212-4225. doi: 10.1029/2018TC005163. Vavryčuk, V., Adamová, P., Doubravová, J., & Jakoubková, H. (2017). Moment tensor inversion based on the principal component analysis of waveforms: Method and application to microearthquakes in West Bohemia, Czech Republic. Seismological Research Letters, 88(5), 1303-1315. doi: 10.1785/0220170027. Vavryčuk, V., Adamová, P., Doubravová, J., & Ren, Y. (2021). Mapping stress and fluids on faults by non-shear earthquakes. Journal of Geophysical Research: Solid Earth, accepted.
DOI: 10.17632/sgvmg6c9zz.1
title: RCEP on the Industrial and Innovation Chains of China's Textile and Clothing Industry

description: The dataset comprises trade volume and proportion data of China's textile and clothing exports to the 14 member countries of the Regional Comprehensive Economic Partnership (RCEP) for the year 2022. It includes information on export values in billions of dollars, year-on-year export growth percentages, and the proportion of exports within the RCEP region. Additionally, the dataset contains export growth rates of various textile machinery products from China to RCEP countries compared to global exports, as well as details on tariff reduction and export growth of textiles exported by China to Japan. The data provides insights into the dynamics of textile trade within the RCEP region and its implications for the textile industry supply chain.
DOI: 10.17632/4vs6hrns6t.1
title: ARDL AND NARDL PAPER

description: This is dataset used for calculating ARDL and NARDL model
DOI: 10.17632/ftmp4cvtmb.1
title: A histopathological image repository of normal epithelium of Oral Cavity and Oral Squamous Cell Carcinoma

description: Total 1224 images are there in this repository. Images are divided into two sets in two different resolutions. First set composed of 89 histopathological images with the normal epithelium of the oral cavity and 439 images of Oral Squamous Cell Carcinoma (OSCC) in 100x magnification. The second set consists of 201 images with the normal epithelium of the oral cavity and 495 histopathological images of OSCC in 400x magnifications. The images were captured using a Leica ICC50 HD microscope from H&E stained tissue slides collected, prepared and catalogued by medical experts from 230 patients.