cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/hvm4wh3jzx
title: Turning Dataset for Chatter Diagnosis Using Machine Learning

description: This dataset corresponds to sensor signals from several cutting tests including two perpendicular single axis accelerometers, a tri-axial accelerometer, a microphone, and a laser tachometer. We post both the raw data from all the sensors as well as the conditioned and tagged data from one channel of the tri-axial accelerometer. The tags that we use are: no-chatter, intermediate chatter, chatter, and unknown. The cutting test is performed by turning an Aluminum 6061 workpiece on a Clasuing-Gamet 33 cm (13 inch) engine lathe using a 0.04 cm (0.015 inch) radius Titanium nitride coated insert attached to an S10R-SCLCR3S boring bar. We provide a picture of the experimental setup in the included documents. Data from four different cutting configurations were collected where each cutting configuration depends on the stickout distance, which is the distance from the heel of the boring rod to the back face of the tool holder. Four stickout distances were considered: 5.08 cm (2 inch), 6.35 cm (2.5inch), 8.89 (3.5inch), and 11.43 cm (4.5 inch). For each stickout distance, we collect data for several combinations of the rotational speed and depth of cut. We include a table showing the parameter combinations and the number of the tagged time series corresponding to each stickout length in the included documents. We also briefly describe the algorithm we used to tag the data.
DOI: 10.17632/y3h46d6wzn
title: CANCER-CELL-D-22-00022 Original images of Western blot

description: CANCER-CELL-D-22-00022 Original images of Western blot
DOI: 10.17632/ygryzxxr82
title: Dietary concentrate to roughage ratio on growth performance of housed yaks, carcass properties, and meat quality of the carcass

description: This study examines the effects of different dietary concentrate-to-forage ratios on the growth performance, carcass traits, and meat quality of housed yaks. A total of 40 yaks from the Qinghai Plateau, aged 8 to 9 months with similar initial body weights, were randomly assigned to four dietary groups with concentrate-to-forage ratios of 80:20 (C80), 65:35 (C65), 50:50 (C50), and 35:65 (C35). Following a 15-day adaptation period, the yaks underwent a 105-day feeding trial.
DOI: 10.6084/m9.figshare.22203514.v1
title: Supplementary information 1.xlsx

description: Systematically extracted data from randomised controlled trials which underwent stable isotope tracer infusion to measure muscle protein synthesis rates post-exercise and post ingestion of a bolus dose of protein
DOI: 10.17632/78mw556vjc
title: Fall Risk Assessment Dataset: Older-Adult Participants undergoing the Time Up and Go Test

description: The dataset comprises signal data collected from IMU sensors during the administration of the Time Up and Go (TUG) test for assessing fall risk in older adults. The dataset is divided into two main sections. The first section contains personal, behavioral, and health-related data from 34 participants. The second section contains signal data from tri-axial acceleration and tri-axial gyroscope sensors embedded in an IMU sensor, which was affixed to the participants' waist area to capture signal data while they walked. The chosen assessment method for fall risk analysis is the TUG test, requiring participants to walk a 3-meter distance back and forth. To prepare the dataset for subsequent analysis, the raw signal data underwent processing to extract only the walking periods during the TUG test. Additionally, a low-pass filter technique was employed to reduce noise interference. This dataset holds the potential for the development of effective models for fall risk detection based on insights garnered from questionnaires administered to specialists who observed the experiments. The dataset also contains deanonymized participant information that can be explored to investigate fall risk, along with other health-related conditions or behaviors that could influence the risk of falling. This information is invaluable for devising tailored treatment or rehabilitation plans for individual older adults. 

More information about this dataset can be found at https://www.sciencedirect.com/science/article/pii/S2352340923007382

Please cite this dataset as follows:
W. Jutharee, C. Paengkumhag, W. Limpornchitwilai, W. T. Mo, J. H. Chan, T. Jennawasin and B. Kaewkamnerdpong, "Fall risk assessment dataset: older-adult participants undergoing the time up and go test," Data in Brief, vol. 51, p. 109653, 2023. 
https://doi.org/10.1016/j.dib.2023.109653
DOI: 10.17632/kpdngx4m2f
title: Supplemental Tables for Dzombak et al. (2021) Palaeo3: Lateral heterogeneity in paleosols and implications for proxy uncertainty

description: Supplemental Tables for Dzombak et al. (in review) Palaeo3 paper on how sampling density and outcrop extent affect certainty in paleosol-based proxy reconstructions. Also Chapter V in R.M. Dzombak's Ph.D. dissertation at the University of Michigan. Table S1. Sample information Table S2. Bulk geochemistry Table S3. Statistics on CaO in modern soils Table S4. Holdridge life zone data Resampling of transects performed in Matlab 2019a. (csv: 'greeco_data.csv' is for JMH paleosol transect)
DOI: 10.17632/nskb9khgsm
title: Multi principal element alloy (MPEA) corrosion database

description: The dataset includes information regarding the corrosion of MPEAs. It was compiled for a critical review paper submitted to Metallurgical and Materials Transactions A. Contributors to the database are different to the review paper authors, with the contributors to the database including those involved in data mining.

The dataset has been processed to allow machine learning operations. This includes encoding the phases present in each alloy, and also parsing of alloy names/compositions into their individual elemental makeup (in atomic fraction).
Input data includes alloy composition, phases, processing, test electrolyte type, test electrolyte concentration.
Output data includes corrosion potential, pitting potential, corrosion current density, and calculated passive window.
DOI: 10.17632/sb7x6ssphh
title: Design of an intracellular aptamer-based fluorescent biosensor to track burden in E. coli

description: Source data used to generate figures for the "Design of an intracellular aptamer-based fluorescent biosensor to track burden in E. coli" paper.
DOI: 10.17632/ymgvf8gsrx
title: Data for: Decoupling NDN caches via CCndnS: Design, Analysis and Application

description: This data set is for running simulation for NDN and mostly on my CCndnS caching policy. some data for random and popularity based caching policies are provided as well. The name of the folders indicates the cache size of each Content Store (CS). Depends on topology of the network (Abilene, Chained and Chained with branches), there are different set of sources of files and content requesters. The measured values from client side is saved in a file with name ClinentX or Client_Rx. The data related to each router is presented in a file with the name of the router. For Abilene network, you can find the topology and the name of the routers in my paper. Be noted that in my paper routers' name starts from 1 (R1) but data files router name starts from 0. So R1 in the paper is R0 in the data set. There is one more file in each folder which provides the general information about the simulation like the cache size of each router, total Interests generated in the simulation or total network hit probability which is the probability of finding data from the network regardless of which router cached data. The name of some of the folders is like "alpha0.8". That means the parameter alpha for zipf distribution is set to 0.8 in this set of simulations. Folders with name "SLA" belongs to Service Level Agreement application that I explained in my paper. Many parameters can be found with value 0. These are parameters that I deactivated in this set of simulations but in general they can be measured. I used them for other studies.
DOI: 10.6084/m9.figshare.13621169.v6
title: Speedtest Open Data - Four International cities - MEL, BKK, SHG, LAX

description: This dataset compares four cities broadband internet speeds:- Melbourne, AU- Bangkok, TH- Shanghai, CN- Los Angeles, US<br>ERRATA:Data is for Q3 2020, but some files are labelled incorrectly as 02-20 of June 20. They all should read Sept 20, or 09-20 as Q3 20, rather than Q2. Will rename and reload.2. LAX file named 0320, when should be Q320.<br>*lines of data for each geojson file; a line equates to a 600m^2 location, inc total tests, devices used, and average upload and download speed- MEL 16181 lines- SHG 31745 lines- BKK 29296 lines- LAX 15899 lines<br>Geojsons of these 2* by 2* extracts for MEL, BKK, SHG now added, and LAX added v6..<br>This dataset unpacks, geospatially, data summaries provided in Speedtest Global Index (linked below). See Jupyter Notebook (*.ipynb) to interrogate geo data. See link to install Jupyter.<br>** To DoWill add Google Map versions so everyone can see without installing Jupyter.- Link to Google Map (BKK) added below. Key:Green &gt; 100Mbps(Superfast). Black &gt; 500Mbps (Ultrafast). CSV provided. Code in Speedtestv1.1.ipynb Jupyter Notebook.<br>** Pythonmelb = au_tiles.cx[144:146 , -39:-37] #Lat/Lon extract<br>shg = tiles.cx[120:122 , 30:32] #Lat/Lon extract<br>bkk = tiles.cx[100:102 , 13:15] #Lat/Lon extract<br>lax = tiles.cx[-118:-120, 33:35] #lat/Lon<br>Histograms, and data visualisations will be provided.Data Sourced from - This is an extract of Speedtest Open data available at Amazon WS (link below - opendata.aws).<br>**VERSIONSv6 Added LAX file.v5 Add screenshot of BKK Google Map.v4 Add BKK Google map(link below), and BKK csv mapping files. v3 replaced MEL map with big key version. Prev key was very tiny in top right corner.v2 Uploaded MEL, SHG, BKK data and Jupyter Notebookv1 Metadata record<br>** LICENCEAWS data licence on Speedtest data is "CC BY-NC-SA 4.0", so use of this data must be:- non-commercial (NC)- reuse must be share-alike (SA)(add same licence).This restricts the standard CC-BY Figshare licence.<br>
DOI: 10.17632/332kvzz8xk
title: RNA-seq of a small molecule targeted recruitment of a ribonuclease to degrade the c9ALS/FTD r(G4C2) repeat expansion

description: We are publishing a study of a small molecule targeted recruitment of a ribonuclease to degrade the c9ALS/FTD r(G4C2) repeat expansion. We performed multiple RNA-seq experiments to evaluate the effect of the compound on transcriptome, including the 4 datasets: SET1. RNA-seq analysis of c9ALS patient-derived iPSCs treated with 50 nM of 7 plotted as average Log2(Fold Change) vs -Log10(q-value) (n = 1 C9orf72 iPSC line, 3 replicates per line). The amounts of mutant allele containing the repeat expansion were calculated using the coding SNPs as a proxy for abundance. SET2. RNA-seq analysis of iPSCs from healthy donors treated with 50 nM of 7 plotted as averege Log2(Fold Change) vs -Log10(q-value) (n = 1 C9orf72 iPSC line, 3 replicates per line). The amounts of mutant allele containing the repeat expansion were calculated using the coding SNPs as a proxy for abundance. SET3. RNA-seq analysis of +/+PWR500 mice treated with 33 nmol of 7 (n = 3 mice per treatment group). The amounts of mutant allele containing the repeat expansion were calculated using the coding SNPs as a proxy for abundance. SET4. RNA-seq analysis of c9ALS patient-derived iPSNs treated with 50 nM of 7 plotted as average Log10(TPM) (n = 1 C9orf72 iPSN line, 3 replicates per line). The amounts of mutant allele containing the repeat expansion were calculated using the coding SNPs as a proxy for abundance.
DOI: 10.17632/msf6jzm52g
title: Data for: A predicting model for properties of steel using the industrial big data based on machine learning method

description: Raw data and processed data
DOI: 10.6084/m9.figshare.26526781.v1
title: Supplementary materials: <i>GSTA1</i> gene polymorphisms are associated with cyclophosphamide effectiveness in lupus nephritis patients: A case-control study in Indonesia

description: Supplementary materials are linked to the primary manuscript published in Narra J entitled "<i>GSTA1 </i>gene polymorphisms are associated with cyclophosphamide effectiveness in lupus nephritis patients: A case-control study in Indonesia"
DOI: 10.17632/6krfj675cs
title: Analysis of parasitic motion with the constraint embedded Jacobian for a 3-PRS parallel manipulator

description: This study derives the equation of parasitic motion of 3-DoFs parallel manipulator from the velocity-level analytic-constraint equation and compares it with a well-known position-level geometric method. The velocity-level constraint is formulated based on the extended Jacobian, derived from the instantaneous motion space (IMS) and the instantaneous restriction space (IRS) for free motion and constraint. In contrast, the position-level constraint, adopted in previous studies, is geometrically obtained by analyzing the moving platform and limb motions. The velocity-level analytic-constraint matrix is used to further analyze the task-space motion. In this paper, the procedure of detecting and identifying the parasitic terms from the independent terms is introduced utilizing the property that comes from the virtue of analytic constraint and inverse rate kinematics algorithm. Then, an equation for the constraint-compatible task motion and a coupling relation between the parasitic and independent motions are derived during further analysis. The paper derived the parasitic motion from position constraint, and an algebraic equivalency with the velocity constraint is shown by taking the time derivative of a point-plane position level constraint for comparison. Finally, numerical simulations are provided to validate the proposed approach and demonstrate the effect of the constraints on the given input velocity within the entire rotational workspace.
DOI: 10.17632/89bddf2fnd
title: Servay data on fishermen perception of marine protected areas in West Coast of Malaysia

description: The dataset presents findings on fishermen's perceptions of marine protected areas (MPAs), along with demographic data and profiles of the fishing community. Employing a stratified random sampling technique, data were collected from 800 fishermen along the West Coast of Peninsular Malaysia (Perlis, Kedah, Pulau Pinang, Perak, Selangor, Negeri Sembilan, Melaka and West Johor). Data were obtained through face-to-face interviews using a self-structured questionnaire. Descriptive analysis utilizing frequencies and percentages was conducted on the data. The findings, illustrated in tables and figures, offered valuable insights into MPAs and the socio-economic status of fishermen, aiding government officials, policymakers, and researchers in enhancing the enforcement of marine protected areas to meet global targets. By 2030, Malaysia aimed to expand MPAs to 10 percent in line with international commitments at the United Nations with the current area being approximately 5.35 percent of the waters in Peninsular Malaysia and Borneo.
DOI: 10.17632/zgxwbhsc3d
title: Ortho Trauma Dataset

description: Dataset for the orthopedic trauma research regarding authorship.
DOI: 10.17632/d4x6fp42r7
title: An image dataset of Guava leaf images

description: This dataset contains 19 distinct classes of guava and total 1488 images. Images were collected from specialized horticulture centers, universities, botanical gardens, and nurseries.
DOI: 10.17632/pbh7jrd8jd
title: Results for Permutation Flowshop Scheduling Problems

description: This repository contains all the problem sets for Permutation Flowshop Scheduling, by Carlier, Heller, Lahiri, Reeves and Taillard. All problems are accompanied by their solutions in the form of permutations, in a format corresponding to Matlab data files (.mat), obtained with an evolutionary algorithm. 
The "Verification of the result" folder includes the program 'solutionCheck.m' for checking the correctness of the solution given by the permutations included in the other folders.
In the folder 'Lower Bound', there is a pdf file 'LB correction' where you can find an important remark concerning LB calculation with E. Taillard's formulas. The folder contains a Matlab code for Lower Bound calculation, according to the this remark.
DOI: 10.17632/sxxwy2npm3
title: Data for: Improvement in dielectric properties of poly(vinylidene fluoride) by incorporation of Au-BiFeO3 hybrid nanoparticles

description: All experimental data for all figures represented.
DOI: 10.17632/w5tj2typgw
title: Computer Assisted Language Learning Research Data (1983-2020)

description: The computer assisted language Learning reseach & publication dataset, which was indexed by Scopus from 1983 to 2020. 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/sygn59mm7h
title: PAHTEI-Proceedings of Azerbaijan High Technical Educational Institutions

description: Referred & Reviewed Journal

DOI PREFIX: 10.36962/PAHTEI

ISSN: 1609-1620 (Print); ISSN: 2674-5224 (Online); UDC: 62 (051) (0.034)

Web-site: https://bsj.fisdd.org/index.php/pahtei/
DOI: 10.17632/3v73xr4cmv
title: Reduced Graphene (rGO) and Semiconductor Metal Oxides (MOS) based nanocomposites for application as toxic gas sensors

description: The detection of different types of gases is becoming more and more important in our society due to the need to identify toxic gases and organic vapors for environmental and human safety, for emission/control in the industrial sector and for medical diagnosis. Efforts by the scientific community working in this area of ​​research are dedicated to researching new materials capable of detecting gases at room temperature, in standard environmental conditions, and that present high selectivity and sensitivity. Among the materials that have been considered promising and that present these characteristics is obtained through the association of semiconductor metal oxides (MOS) and reduced graphene (rGO). The association of graphene with MOS, compared to MOS-only sensors, has shown better performance in gas detection in many aspects, such as sensitivity, response/recovery times and operating temperature. Although different works on this topic have been published recently, many aspects of research in this area are still open. In this context, the general objective of the research project is the study of sensor properties in relation to different toxic gases of composite materials formed by reduced graphene (rGO) and semiconductor metal oxides (MOS). Determining which are the best conditions (rGO/MOS ratio and MOS morphology) that lead to better sensor properties and the mechanisms involved in the process will be fundamental for the project's success. To achieve these goals, we will obtain samples of reduced graphene (rGO) from graphene oxide using a laser radiation source; to obtain nanostructured samples in powder form of the semiconductor metallic oxides ZnO, In2O3-SnO2 (ITO), WO3 and CuO through the polymeric precursor method; obtain nanostructured MOS samples with different morphologies using nanocellose as a template and finally, perform the synthesis of MOS/rGO nanocomposites whose sensor properties will be characterized. As innovative aspects of the project, the use of laser radiation in the graphene reduction process and the use of nanocellulose as a template to obtain metallic oxides with different morphologies can be highlighted. The samples obtained will be characterized using conventional and advanced techniques. Finally, the sensing properties of the pre-selected samples that present an adequate resistance value will be evaluated with different toxic gases (CO, CO2, Acetone, Ethanol, NO and O3). With this project, we hope to contribute to the scientific and technological development of this important research area through new strategies for the synthesis of nanostructured materials, producing sensors that act at room temperature and present a better degree of selectivity.
DOI: 10.17632/cggmjx3ykt
title: COMBINED EFFECTIVENESS OF MYOFASCIAL TRIGGER POINT DRY NEEDLING AND NEURODYNAMIC MOBILISATION IN INDIVIDUALS SUFFERING FROM PIRIFORMIS SYNDROME.

description: this is the first study to check for the combined effectiveness of dry needling and neurodynamic mobilisation on respective neural and musculoskeletal componenets of patients suffering from piriformis syndrome .results showed significant changes in managing pain, improving pressure threshold and functional capabilities of lower extremity.
DOI: 10.17632/rw9yk3c559
title: A dataset for conduction heat transfer and deep learning

description: Big data images for conduction heat transfer
The related paper has been published here:
Edalatifar, Mohammad, Mohammad Bagher Tavakoli, Mohammad Ghalambaz, and Farbod Setoudeh. "Using deep learning to learn physics of conduction heat transfer." Journal of Thermal Analysis and Calorimetry 146, no. 3 (2021): 1435-1452. 
Links: 
https://doi.org/10.1007/s10973-020-09875-6
https://link.springer.com/article/10.1007/s10973-020-09875-6

Mohammad Edalatifar, Mohammad Ghalambaz, Mohammad Bagher Tavakoli, Farbod Setoudeh, New loss functions to improve deep learning estimation of heat transfer, Neural Computing and Applications
Link:
https://doi.org/10.1007/s00521-022-07233-1

Keywords: Deep convolutional neural networks - Loss function - Heat transfer images - Physical images - Artificial intelligence - CFD - Computational fluids dynamics - Finite volume method - Laplace equation - Dirichlet boundary condition
DOI: 10.6084/m9.figshare.22691395.v2
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.15468/dl.3nz53w
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argentina Linnaeus, 1758",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((-0.0352 28.8496,-9.0352 28.8496,-9.0352 19.8496,-0.0352 19.8496,-0.0352 28.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012892-250525065834625/datasets/export for details.
DOI: 10.17632/j6xvmwmcch
title: Torsional vibration Sulzer 3AL/25

description: Data represents torsional deflection of Sulzer 3AL/25 genset. Load 250 kW, healthy condition. Each column is one cycle (2 revolutions) of the crankshaft. Each row is 3,6°CA. Detailed system description and acquisition method is described in our paper "Statistical analysis of torsional vibrations measured with incremental encoders".