cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26082811.v1
title: Skull volumes

description: 431 skull CT volumes in NIfTI file format.
DOI: 10.6084/m9.figshare.3796404.v1
title: Report of the Department of Antiquities, Cyprus (RDAC) - Collective Contents List - 1934-1948, 1963-2010

description: As part of my doctoral studies I have been reviewing several journal titles and one of them has been the Report of the Department of Antiquities, Cyprus (henceforth RDAC). The latter journal is not extensively catalogued, indexed or digitized at the moment, which makes it very difficult for researchers to find articles published there. Therefore, I decided to create a comprehensive list of contents for the RDAC from its first published volume in 1934 to the latest volume published in 2010. In the link below you will find an Excel workbook with a complete listing of the contents of each RDAC volume, full references to each item and some other goodies (article counters - for that you will need to activate Macros, so that some VBA code running in the background gets activated). This project has taken almost two months to bring to completion and now with the consent of the Department of Antiquities, Cyprus is offered under a CC BY-NC-SA (Creative Commons Attribution-Non Commercial-Share Alike) 4.0 International License to all researchers working in the archaeology of Cyprus.
DOI: 10.6084/m9.figshare.4308926.v2
title: microCT scans of bone and cement-bone microstructures

description: Repeated scans of:VOI1 - the largest possible area that could be inscribed in all vertebrae (300x300x432 voxels);VOI2 - regions of fully cement-augmented trabecular bone (152x152x432 voxels);VOI3 - regions of interface between augmented and non-augmented trabecular bone (152x152x432 voxels);VOI4 - regions containing both trabecular and cortical bone (152x152x432 voxels);VOI5 - regions containing both trabecular and cortical bone with surrounding saline solution (152x152x432 voxels).<br>The spatial resolution of each scan is of 39 micrometers.
DOI: 10.17632/hwr5h6r79n
title: Raw data - Quantification and classification of microplastics in Mexican beaches

description: This file contains the raw data of the sampling of microplastics in Mexicana sand beaches. Microplastics were quantified and classified by shape, type and colour. A total of 35 beaches, from the five marine regions of the country, were included in the research. The dataset also includes the analysis of cross-contamination.
DOI: 10.6084/m9.figshare.5915257.v1
title: Alignment of USA500 genomes and recombinant regions

description: zipfile contains 3 files:<br>1. USA500_parsnp_out.fasta 562 S. aureus CC8 (mostly USA500) genomes aligned using the parsnp tool. The alignment length is 2361133 nt2. USA500CFML_ouput.importation_status.txt. Output of ClonalFrameML listing recombinant regions identified.3. CFML_edit_fasta.R an script that takes the input of 1) and 2) and creates an output multifasta file with recombinant regions removed.
DOI: 10.17632/6nxnjbn9w6
title: VegNet: Vegetable Dataset with quality (Unripe, Ripe, Old, Dried and Damaged)

description: Neat and clean dataset is the elementary requirement to build accurate and robust machine learning models for the real-time environment. With this objective we have created an image dataset of Indian four vegetable with quality parameter which are highly consumed or exported. Accordingly, we have considered four vegetables namely Bell Pepper, Tomato, Chili Pepper, and New Mexico Chile to create a dataset. The dataset is categorized into 4 subfolders of vegetables namely Bell Pepper, Tomato, Chili Pepper, and New Mexico Chile. Further each vegetable folder contains five subfolders namely Unripe, Ripe, Old, Dried and Damaged. Total 6850 images are available in the dataset. We strongly believe that the proposed dataset is very helpful for training, testing and validation of vegetable classification or reorganization machine learning model.
DOI: 10.17632/8chdw8vgw9
title: Microplastics persist in an arable soil but do not affect soil microbial biomass, enzyme activities, and crop yield

description: We provide reproducible R-codes and data sets accompanying the research article "Microplastics persist in an arable soil but do not affect soil microbial biomass, enzyme activities, and crop yield", which is published in the Journal of Plant Nutrition and Soil Science, Wiley‐VCH GmbH (Article DOI: 10.002/jpln.202200062).

This study aimed to better understand the fate of MP and effects of MP on microbial abundance and activity related to C cycling, as well as crop yields in arable soils. We established a field experiment (1) to investigate MP background concentrations, (2) to quantify concentrations of added conventional and biodegradable MP after one and 17 months of addition, and (3) to identify potential effects of MP and of MP‐containing organic fertilizers on soil microbial abundance, activities of selected C cycling enzymes, and crop yields. We expected that (1) the arable soil shows a low but significant background MP loading (before setup), (2) biodegradable MP (PLA/PBAT) fragments in soil, (3) conventional MP (LDPE) persists and is not altered, (4) biodegradation of PLA/PBAT leads to increased activity of lipase in soil as this enzyme catalyzes ester bond cleavage, but microbial abundance, activities of enzymes catalyzing other reactions, and crop yields are not affected because breakdown of PLA/PBAT is slow and direct toxic effects MP on plants are unlikely, (5) due to its persistence, LDPE has no impact on soil microbiological indicators of C cycling or crop yields.

We organized research data and analyses in two folders ("MPAnalytics" and "CarbonCycling&CropYields"). "MPAnalytics" contains all data on MP concentrations in the arable soil, while "CarbonCycling&CropYields" contains data on soil enzymes involved in C cycling, microbial carbon and nitrogen, and crop yields. See the README.html file for details on the data sets and instructions on how to run the R codes.
DOI: 10.17632/tcfbwktjxz
title: Pig sclera stress-strain dataset under biaxial tensile testing
DOI: 10.17632/tsdp553dsm
title: Economic, Environmental and Social Performance of Agroecology in Ethiopia

description: This dataset is a result of research conducted by a multidisciplinary team of researchers from Haramaya University, Ethiopia. It contains economic, environmental, and social indicators of sustainability. The data were generated using the Tool for Agroecological Performance Evaluation (TAPE) developed by the FAO (FAO, 2019). Primary data on basic socio-demographic, economic, institutional, social and ecological dimensions of agroecological performance were generated using a survey questionnaire uploaded on Kobo Toolbox (on a smart device). The data collection and overall field work were supported by the FAO, and supervised by the researchers and local research translation partners. The data contained herein refers to 619 smallholder farms located in four districts of Oromia and Southern Nations, Nationalities and People's (SNNP) regions.
DOI: 10.6084/m9.figshare.11750199.v1
title: wild_lentil_3

description: Images of wild lentil 3 captured at the University of Saskatchewan on the BELT platform and ready to be analyzed with phenoSEED (https://gitlab.com/usask-speclab/phenoseed)This data is a subset of data used to create boxplots in the BELT paper.<br>
DOI: 10.6084/m9.figshare.13244870.v1
title: 16S rRNA gene amplicon sequences

description: These are the raw sequences. Each folder contains the associated mapping file for the run.
DOI: 10.6084/m9.figshare.28738613.v2
title: Data of "The reproductive multiverse of diandrous orchids: two anthers offer new perspectives in pollinator-mediated phenotypic selection"

description: These are the original data files used in the study: "The reproductive multiverse of diandrous orchids: two anthers offer new perspectives in pollinator-mediated phenotypic selection"
DOI: 10.6084/m9.figshare.29046245.v1
title: Experimental Data for a Virtual Inertia Control Strategy for a Wind-Storage Combined Power Generation System Based on Model Predictive Control

description: This dataset contains the experimental results and data related to the paper titled "Research on a Virtual Inertia Control Strategy for a Wind-Storage Combined Power Generation System Based on Model Predictive Control" This research addresses the issue of low grid inertia in wind energy systems by proposing an improved control strategy that integrates model predictive control (MPC) with virtual synchronous generator (VSG) control.
DOI: 10.6084/m9.figshare.6170117.v1
title: panG-ramli.tar.gz

description: Pangenome analysis in Anvi'o (v2.3.0) of the reconstructed Ramlibacter sp. MAG and three publicly available Ramlibacter genomes.
DOI: 10.17632/2dd87zcs4z
title: Enhancing Interpreter Utilization Among Dermatology Clinic Telephone Schedulers: A Quality Improvement Study

description: Supplemental material
DOI: 10.17632/rgn5brrgrn
title: Vibration and Current Dataset of Three-Phase Permanent Magnet Synchronous Motors with Stator Faults

description: This dataset provides vibration and motor current data for fault diagnosis of motor winding faults.

Vibration data is acquired with a sampling frequency of 25.6 kHz, and current data is acquired with a sampling frequency of 100 kHz.
In order to acquire the data, a testbed with motor winding faults was used.


---- Description of vibration file format ----
aaaaW_bb_cc_vibration_dddd.tdms : This file includes "dddd" short circuit fault vibration data of z-direction with "bb.cc" % severity acquired from the motor whose capacity is "aaaa" W.
For examples, "1000W_0_00_vibration_interturn.tdms" means healthy inter-turn short circuit vibration data of z-direction acquired from the motor whose capacity is 1.0 kW and "1500W_5_70_vibration_intercoil.tdms" means coil-coil short circuit fault vibration data of z-direction with 5.70 % severity acquired from the motor whose capacity is 1.5 kW.

---- Description of motor current file format ----
aaaaW_bb_cc_current_dddd.tdms : This file includes "dddd" short circuit fault motor current data of three phases with "bb.cc" % severity acquired from the motor whose capacity is "aaaa" W.
For examples, "1000W_0_00_current_interturn.tdms" means healthy inter-turn short circuit motor current data of three phases acquired from the motor whose capacity is 1.0 kW and "1500W_5_70_current_intercoil.tdms" means coil-coil short circuit fault motor current data of three phases with 5.70 % severity acquired from the motor whose capacity is 1.5 kW.

For more detailed information about this dataset, please check our article published in "Data in Brief".
Title: Vibration and Current Dataset of Three-Phase Permanent Magnet Synchronous Motors with Stator Faults
Link: https://www.sciencedirect.com/journal/data-in-brief
DOI: 10.6084/m9.figshare.20226303.v1
title: Normalized Remote Sensing Agricultural GPP Monsoon 2015

description: agricultural gross primary productivity
DOI: 10.17632/7ywkdx7c62
title: Detailed earthquake catalog for the San Jacinto Fault Zone in southern California (2008-2020)

description: This data set contains hypocenter parameters for earthquakes between 1 January 2008 and 1 January 2021 in the San Jacinto Fault Zone region in southern California. The predecessor of this catalog is described in White et al. (2019). This data set was derived using a modified version of the procedure presented in White et al. (2019). Data fields are indicated by a header row in the file. The time field is in UTC time. The manuscript describing this data set is in preparation. References ========= White, M. C. A., Ben‐Zion, Y., & Vernon, F. L. (2019). A Detailed Earthquake Catalog for the San Jacinto Fault‐Zone Region in Southern California. Journal of Geophysical Research: Solid Earth, 124(7), 6908–6930. https://doi.org/10.1029/2019JB017641
DOI: 10.17632/jtzpkhw3mk
title: Mental Health in Indian metro cities: 2020

description: The data used in the study was collected from 1,275 persons aged 21-60 years randomly selected  from the list of mobile phone users in the six Class 1 metropolitan cities of India—viz. Bengaluru, Chennai, Delhi, Kolkata, Mumbai and Hyderabad. Depression Anxiety Stress Scale (DASS) version 21 was administered to the study participants apart from collecting information on socio-demographic and economic characteristics.
The survey was undertaken in August-September 2020 during the first wave of COVID in India.
DOI: 10.17632/skb34vjtj9
title: Design of a two-degree-of-freedom helicopter with disturbances in the tail rotor.

description: The design of a two degrees of freedom with an electromechanical mechanism for the generation of disturbances in the tail rotor is presented. The design focuses on a laboratory platform that replicates the dynamics of a helicopter at Pitch and Yaw angles. This platform allows the analysis of the control schemes in the face of the variation in the incidence in the tail rotor by means of a servomotor.
The included files are:

*Design plans in PDF.
*PDF 3D design file.
*CAD design on the 2022 inventor software.
*Programming files in the simulink environment.
*Videos of the simulation and operation of the mechanism of the disturbance generator in the tail rotor.
*Video of the two degree-of-freedom helicopter operation.
*Programming and interface files on Matlab Simulink for system operation.
DOI: 10.6084/m9.figshare.1487693.v1
title: Data from "Increasing aridity reduces soil microbial diversity and abundance in global drylands"

description: Data from "Maestre, F. T., M. Delgado-Baquerizo, M., T. C. Jeffries, V. Ochoa, B. Gozalo, D. J. Eldridge, J. L. Quero, M. García-Gómez, A. Gallardo, W. Ulrich, M. A. Bowker, T. Arredondo, C. Barraza, D. Bran, A. Florentino, J. Gaitán, J. R. Gutiérrez, E. Huber-Sannwald, M. Jankju, R. L. Mau, M. Miriti, K. Naseri, A. Ospina, I. Stavi, D. Wang, N. N. Woods, X. Yuan, E. Zaady & B. K. Singh. Increasing aridity reduces soil microbial diversity and abundance in global drylands. Proceedings of the National Academy of Sciences USA, doi: 10.1073/pnas.1516684112" There are two spreadsheets with data. The spreadsheet "Data" contains the data used in the different analyses presented in the article. The spreadsheet "Metadata" contains the associated metadata, where a description of all the variables and units can be found.
DOI: 10.6084/m9.figshare.28377050.v6
title: The impact of the armed conflict on clinical training: Khartoum University medical students’ perceptions of their clinical skills confidence, and future career fears: A cross-sectional study Sudan 2024 - Survey

description: Sudan is going through an armed conflict since 15 April 2023. Many students are currently facing significant challenges regarding their medical education, specifically with clinical training and this issue is highly concerning, so it is significant to evaluate the impact of the armed conflict on Khartoum medical student clinical training and to assess students' confidence level regarding their clinical skills, their preparedness for future careers along with their current fears.
DOI: 10.17632/snhvt4gs5c
title: Data for: Manganese Nodules NOD-A-1 and NOD-P-1: Implications of Pre-treatment on Oxygen Isotopes and Mineralogy

description: Data showing the effect on oxygen isotopes and mineralogy of manganese nodule reference materials NOD-A-1 and NOD-P-1 by using various pre-treatments. Oxygen isotope data, EDS spectra, XRD spectra, & Raman spectra.
DOI: 10.6084/m9.figshare.9250661.v1
title: data-vessel phantom

description: Full and sparse reconstruction of vessel like phantoms imaged by optoacoustic modality<br>
DOI: 10.17632/5k989kb8t7
title: Elicitation of broadly protective sarbecovirus immunity by receptor-binding domain nanoparticle vaccines, Walls et al.

description: Understanding vaccine-elicited protection against SARS-CoV-2 variants and other sarbecoviruses is key for guiding public health policies. We show that a clinical stage multivalent SARS-CoV-2 spike receptor-binding domain nanoparticle vaccine (RBD-NP) protects mice from SARS-CoV-2 challenge after a single immunization, indicating a potential dose-sparing strategy. We benchmarked serum neutralizing activity elicited by RBD-NP in non-human primates against a lead prefusion-stabilized SARS-CoV-2 spike (HexaPro) using a panel of circulating mutants. Polyclonal antibodies elicited by both vaccines are similarly resilient to many RBD residue substitutions tested although mutations at and surrounding position 484 have negative consequences for neutralization. Mosaic and cocktail nanoparticle immunogens displaying multiple sarbecovirus RBDs elicit broad neutralizing activity in mice and protect mice against SARS-CoV challenge even in the absence of SARS-CoV RBD in the vaccine. This study provides proof of principle that multivalent sarbecovirus RBD-NPs induce heterotypic protection and motivates advancing such broadly protective sarbecovirus vaccines to the clinic.
DOI: 10.17632/h7pf57cgg9
title: Pistachio Image Dataset

description: Citation Request :
1. OZKAN IA., KOKLU M. and SARACOGLU R. (2021). Classification of Pistachio Species Using Improved K-NN Classifier. Progress in Nutrition, Vol. 23, N. 2, pp. DOI:10.23751/pn.v23i2.9686.  (Open Access) 
2. SINGH D, TASPINAR YS, KURSUN R, CINAR I, KOKLU M, OZKAN IA, LEE H-N., (2022). Classification and Analysis of Pistachio Species with Pre-Trained Deep Learning Models, Electronics, 11 (7), 981. https://doi.org/10.3390/electronics11070981. (Open Access) 
DATASET: https://www.muratkoklu.com/datasets/

https://www.mattioli1885journals.com/index.php/progressinnutrition/article/view/9686/9178
ABSTRACT: A computer vision system has been developed to distinguish two different species of pistachios with different characteristics that address different market types. 2148 sample image for these two kinds of pistachios were taken with a high-resolution camera. The image processing techniques, segmentation and feature extraction were applied on the obtained images of the pistachio samples. A pistachio dataset that has sixteen attributes was created. An advanced classifier based on k-NN method, which is a simple and successful classifier, and principal component analysis was designed on the obtained dataset. In this study; a multi-level system including feature extraction, dimension reduction and dimension weighting stages has been proposed. Experimental results showed that the proposed approach achieved a classification success of 94.18%. The presented high-performance classification model provides an important need for the separation of pistachio species and increases the economic value of species. In addition, the developed model is important in terms of its application to similar studies. 
Keywords: Classification, Image processing, k nearest neighbor classifier, Pistachio species

https://doi.org/10.3390/electronics11070981 
Within the scope of the study, images of Kirmizi and Siirt pistachio types were obtained through the computer vision system. The pre-trained dataset includes a total of 2148 images, 1232 of Kirmizi type and 916 of Siirt type. Three different convolutional neural network models were used to classify these images. Models were trained by using the transfer learning method, with AlexNet and the pre-trained models VGG16 and VGG19. The dataset is divided as 80% training and 20% test. As a result of the performed classifications, the success rates obtained from the AlexNet, VGG16, and VGG19 models are 94.42%, 98.84%, and 98.14%, respectively. Models’ performances were evaluated through sensitivity, specificity, precision, and F-1 score metrics. In addition, ROC curves and AUC values were used in the performance evaluation. The highest classification success was achieved with the VGG16 model. The obtained results reveal that these methods can be used successfully in the determination of pistachio types. View Full-Text
Keywords: pistachio; genetic varieties; machine learning; deep learning; food recognition
DOI: 10.6084/m9.figshare.28978229.v1
title: Localization Precision Analysis Data for Interferometric Single-Molecule Localization Microscopy

description: This dataset contains measurement data of localization precision using single-molecule interferometric localization microscopy. The localization precision of the single-molecule interferometric localization microscope was measured using 40 nm fluorescent microspheres. This dataset includes raw image files, data result files processed with MATLAB, and result images. The results show localization precisions of 6.6 nm, 6.4 nm, and 4.7 nm for the X, Y, and Z directions respectively, achieving isotropic single-molecule localization precision and uniform resolution in all directions.<b>File description:</b><b>IntComp.mat:</b> Brightness calibration data<b>pixComp.mat:</b> Pixel calibration data<b>RegInfo.mat:</b> Raw image cropping and transformation data<b>spool_A_1_MMStack_Default.ome.tif:</b> Camera A data<b>spool_A_2_MMStack_Default.ome.tif:</b> Camera B data<b>spool_A_1_MMStack_Default.ome_result.mat:</b> Processed result data file<b>spool_A_1_MMStack_Default.ome_result_sel.png:</b> Illustration of selected fluorescent microspheres<b>spool_A_1_MMStack_Default.ome_result1.png:</b> Summary of processing results including XY localization error, brightness, phase error, modulation depth, etc.<b>spool_A_1_MMStack_Default.ome_result2.png:</b> XYZ localization precision analysis result image
DOI: 10.17632/d3x2w9p439
title: White button mushroom RGB-D Images

description: This dataset consists of 1150 pairs of RGB and depth images. The RGB and depth images are aligned. The annotation files contain corresponding bounding boxes of white button mushroom.
DOI: 10.17632/gkvjzm4wy6
title: RGB Data from Massey Martin Scale

description: The Massey Martin Scale is a group of ten colors of a hand. Using an RGB eyedropper, 48 samples were taken of each hand picture. The RGB data was collected and then an average was calculated. This data shows the accuracy of using an RGB eyedropper to gauge skin tone. It shows how much more accurate and bias-free the use of an RGB eyedropper is than the Massey Martin Scale which is the current standard.
DOI: 10.17632/nfyn5h87js
title: infrared

description: infrared
DOI: 10.6084/m9.figshare.19492211.v1
title: MUSCLEMOTION Test

description: Results of test with MUSCLEMOTION
DOI: 10.6084/m9.figshare.3513560.v1
title: Appendix A. Color-coded version of Fig. 1 showing the tillage system groups.

description: Color-coded version of Fig. 1 showing the tillage system groups.
DOI: 10.6084/m9.figshare.25567419.v1
title: Models' test set predictions

description: See doi: https://doi.org/10.1101/2024.03.29.587323 for more information.Models' (chromoformer trained using single and pairs of histones and chromexpress) predictions on test set.
DOI: 10.6084/m9.figshare.6813143.v1
title: Jupyter notebook script to demonstrate the use of the machine learning databases and analysis for Journal of Geophysical Research: Space Physics manuscript: "New capabilities for prediction of high-latitude ionospheric scintillation: A novel approach with machine learning."

description: This Jupyter notebook script provides processing details to support the analysis and results of the Journal of Geophysical Research: Space Physics manuscript: "New capabilities for prediction of high-latitude ionospheric scintillation: A novel approach with machine learning."<br>It uses the two machine learning database data sets also provided in this FigShare project. <br>
DOI: 10.17632/vy6wyfr33k
title: Tourism GDP and tourism employment: Data for Mexico 

description: I am sharing the data corresponding to the direct tourism employment, the quarterly indicator of tourism GDP, and the multilateral real exchange index for 111 countries. 

The purpose of these data is to model the direct tourism employment in Mexico.  To achieve this objective, two ARDL and a NARDL model were computed. The exogenous variables that help the models simulate the dependent variables are also reported. Finally, the EVIews files where models were estimated are also shared.