cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/662j59nd4r
title: Audio Data

description: The dataset for this investigation includes 324 individuals' auditory parameters. Auditory data such as age, pure tone average (air and bone conduction), and speech discrimination threshold were evaluated for each participant. The dataset was assessed separately for each ear (right and left). 

The dataset includes the following parameters: Age, Pure Tone Average Air, Pure Tone Average Bone, Speech Reception Threshold, Most Comfortable Loudness, Air 250, Bone 500, Air 500, Bone 1000, Air 1000, Bone 2000, Air 2000, Bone 4000, Air 4000, Air 8000.

Data were obtained from the Meltem Hospital (Istanbul/TURKEY). Permission for the necessary data sharing was granted by the hospital.
DOI: 10.6084/m9.figshare.17721935.v2
title: Analyst Ratings Matter for Index Futures.xlsx

description: the data supports the findings of "analyst ratings matter for index futures return"
DOI: 10.6084/m9.figshare.19418173.v1
title: Additional file 17 of Sorting and packaging of RNA into extracellular vesicles shape intracellular transcript levels

description: Additional file 17. Raw data for graphs with N
DOI: 10.6084/m9.figshare.21652355.v1
title: MPA and depression.sav

description: 514 college students were enrolled (56.8% female; Mean age=18.43 years old, SD=0.72 years old) to completed the Mobile Phone Addiction Scale, the Self-control Scale, the Physical Activity Rating Scale, and the Center for Epidemiologic Studies Depression Scale.
DOI: 10.17632/tprps8pbm9
title: LINF_190009400

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.6084/m9.figshare.11548779.v1
title: Habitat Suitability Model for Pied-Billed Grebe

description: Raster model of breeding habitat suitability for Pied-Billed Grebes within the contiguous U.S. Model development described by Stevens and Conway (2020).<br> These data are supplemental materials for the following manuscript: <br> Stevens, B.S., and C.J. Conway. 2020. Mapping habitat suitability at range-wide scales: spatially-explicit distribution models to inform conservation and research for marsh birds. Conservation Science and Practice 2:in press.
DOI: 10.6084/m9.figshare.14896881.v4
title: A dataset of overground walking full-body kinematics and kinetics in individuals with Parkinson’s disease

description: The data set comprises raw and processed (both in c3d and csv formats) full-body kinematics and kinetics signals of 26 individuals with Parkinson's disease walking in overground in ON and OFF medication. The data were collected using a three-dimensional (3D) motion-capture system while the subjects walked barefoot. A file of metadata (xls), including anthropometrics and information related to each file in the data set is also provided. In addition, a model file (mdh) and a pipeline file (v3s) for the Visual 3D software program are also provided. The data collection was performed in the <strong>Laboratory of Biomechanics and Motor Control at the Federal University of ABC, Brazil</strong>. Standard gait analysis was collected using a motion-capture system that had 12 cameras (Raptor-4; Motion Analysis Corporation, Santa Rosa, CA, USA), five force platforms (three 40 × 60-cm Optima models; AMTI, Watertown, MA, USA; two 40 × 60-cm 9281EA models; Kistler, Winterthur, Switzerland) embedded in the floor. The marker-set protocol adopted for this study comprised: (a) in the lower limb, 26 anatomical reflective markers (Leardini et al., 2007); and (b) trunk and upper limb, 18 anatomical reflective markers following the recommendations of the International Society of Biomechanics (Wu et al., 2002;Wu et al., 2005); totaling 44 anatomical reflective markers <br>
DOI: 10.6084/m9.figshare.20564034.v1
title: PRISM Repurposing 20Q2 Dataset

description: <strong>The PRISM Repurposing release contains small molecule viability datasets generated using the Broad Repurposing Library and the PRISM multiplexed cell-line viability assay.</strong> <strong>The primary PRISM Repurposing dataset contains the results of pooled-cell line chemical-perturbation viability screens for 5,274 compounds screened against 578 or 562 cell lines.</strong> <strong>The secondary PRISM Repurposing dataset contains the results of pooled-cell line chemical-perturbation viability screens for 1,448 compounds screened against 489 cell lines in an 8-step, 4-fold dilution, starting from 10uM. Technical redos for 147 previously screened oncology compounds have been added as of 11/22/2019. This data is identified using a `screen_id` of "MTS010". It is recommended to use MTS010 when available. MTS010 was not included in the analysis for Corsello et al. 2019, DOI:10.1101/730119.</strong> <strong>Data processing steps are described in the README files. Further descriptions of methods are available at https://doi.org/10.1101/730119.</strong>
DOI: 10.6084/m9.figshare.20693311.v1
title: MCM-UA-1-0

description: This archive contains downscaled daily data from the MCM-UA-1-0 model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf MCM-UA-1-0.tar.gz Data availability: - Variables: pr - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP1-2.6, SSP3-7.0, SSP5-8.5
DOI: 10.6084/m9.figshare.26789953.v1
title: Tutorial for Matlab MEA analysis of radiated cortical slices

description: Tutorial for Matlab MEA analysis of radiated cortical slices
DOI: 10.17608/k6.auckland.28899716.v3
title: Firm Specificity Estimation Data

description: This dataset comprises the public data utilized for estimating the specificity variable in the study titled "Firm-specific Human Capital: Evidence from CEOs’ Contractual Protections." Included are the 10-K reports of the sample firms, the data processing and the variable estimation code, and the corresponding output.
DOI: 10.17632/r3mv7k42ts
title: Data for: Extraction of ZnO thin film parameters for modeling a ZnO/Si solar cell

description: • Fabrication of ZnO film by sol–gel using zinc acetate decomposition • Extraction of the optical parameters to be used in modeling a ZnO/p-Si solar. • This is to elucidate the solar cell weak performance • Defects in the ZnO bulk and the surface recombination velocity in the ZnO/p-Si interface were responsible. • The simulation led to comparable values between simulation and measurement of J-V characteristics.
DOI: 10.6084/m9.figshare.26333086.v1
title: Datasets

description: Data sets for "All-in-one wearable drug efficacy assessment systems for bulbar muscle function using amyotrophic lateral sclerosis animal models."
DOI: 10.17632/ht8rrjmt2g
title: Survey on social responsibility and intention to purchase remanufactured products

description: Survey on social responsibility and intention to purchase remanufactured products
DOI: 10.6084/m9.figshare.14730918.v1
title: fly bins

description: mergeEmbryo_cm_1000.bins
DOI: 10.6084/m9.figshare.21299496.v1
title: Gene expression profile of 3D Epidermal Model after 24h and 72h ultraviolet radiation

description: Gene expression profile of 3D Epidermal Model after 24h and 72h ultraviolet radiation
DOI: 10.6084/m9.figshare.22262788.v5
title: Raw XCT data of rock

description: The raw XCT scanning rock data composing of cracks, coal, gangue and pyrite
DOI: 10.6084/m9.figshare.28738676.v1
title: Dissertation research data (carbon emissions)

description: This dataset utilized the Super-SBM DEA method to measure the carbon emission efficiency of 282 Chinese cities from 2011 to 2019, and employed a β-convergence model to analyze their convergence trends.
DOI: 10.6084/m9.figshare.5820747.v1
title: entrainment3dd_case1.tar.gzab

description: DNS data for decaying turbulence case 1, part-b
DOI: 10.11583/dtu.13385936.v1
title: Tennessee Eastman Reference Data for Fault-Detection and Decision Support Systems

description: Extended Tennessee Eastman Reference Data as presented in Reinartz et al. (2021). <br><br>The data contains simulations of 28 process faults for 6 different operating modes. Each fault is simulated 500 times with different seeds for the random number generator. <br>Additional simulations feature setpoint changes and mode transitions between the 6 operating modes. <br>All simulations have a duration of 100 hours with a sampling rate of 3 minutes. <br>Please refer to the Readme and publication for detailed information. <br>
DOI: 10.15482/usda.adc/1391712
title: Leptinotarsa decemlineata genome assembly 1.0

description: The Baylor College of Medicine recently sequenced and annotated the Leptinotarsa decemlineata genome as part of the i5k pilot project. This dataset presents the Leptinotarsa decemlineata genome v1.0. This assembly version is the pre-release version, prior to filtering and quality control by the [National Center for Biotechnology Information's GenBank resource](http://www.ncbi.nlm.nih.gov/assembly/GCA_000696205.1). Assembly method details will be available in a forthcoming publication. The Colorado potato beetle is considered the economically most significant defoliator of potato in northern latitudes worldwide. The range of this insect is continuing to expand, and it is likely to eventually colonize all potato-producing areas with temperate climate. Within it's native habitat, the beetle feeds on native solanaceous plants, S. angustifolium, S. elaeagnifolium, and buffalo bur, S. rostratum. However, it has adapted to potatoes and other solanaceous crops after its range expansion. Due to the lack of any natural enemies that have been able to evolve seasonal adaptations, the cornerstone of Colorado potato beetle management has been the use of insecticides. However, the beetle has shown a remarkable ability to develop resistance to most insecticides used for its control. The mechanism(s) of insecticide resistance is yet unknown and genomic sequencing will lead to major advances in managing this pest in commercial plant production. If you wish to use this dataset, please follow the Baylor College of Medicine's conditions for data use: https://www.hgsc.bcm.edu/bcm-hgsc-conditions-use
DOI: 10.17632/2953f8fgcy
title: Data for: Integrating Machine Learning Techniques and Physiology Based Heart Rate Features for Antepartum Fetal Monitoring

description: The article contains a set of 12 linear and nonlinear indices extracted from Fetal Heart Rate (FHR) recordings by means of CTG monitors on two groups of fetuses: 60 normals and 60 Intra Uterine Growth Restricted (IUGR) fetuses. The two populations were selected by clinicians after birth on the basis of clinical standards for detecting growth restricted newborns (Apgar scores, percentile weight, …). The indices were computed on FHR recordings, each one lasting more than 30 minutes, by means of algorithms already published in the scientific literature.
DOI: 10.17632/kpftzmsyyz
title: Datasets of Land Use Change and Flood Dynamics in the Vietnamese Mekong Delta

description: These datasets include 21 land use maps and 567 flooding maps in the Vietnamese Mekong Delta from 2000 to 2020 based on MODIS satellite products.
DOI: 10.6084/m9.figshare.1327632.v1
title: USA Olympic Medal Winners 2000 - 2012

description: This data set contains the list of Olympic medal winners from 2000 till 2012 for countries United States of America. This is a subset of the original data set downloaded from Tableau Software.
DOI: 10.6084/m9.figshare.21546066.v1
title: Temporally corrected long-term satellite solar-induced chlorophyll fluorescence (SIF) dataset (1995-2018)

description: This dataset provides global monthly satellite solar-induced chlorophyll fluorescence (SIF) data during July 1995 to December 2018 with a spatial resolution of 0.05 degree. This dataset was generated based on the temporal correction, spatially downscaling and multi-sensor fusion procedures. Compared with the results from ground flux sites, the long-term trend of this SIF product has a much better performance than current widely-used SIF datasets. This dataset could be beneficial for the estimation of global terrestrial carbon fluxes and for the projection of future climates.
<br>
Using this dataset requires the citation of this paper (https://doi.org/10.1016/j.isprsjprs.2022.10.018). <strong>If you plan to use our data in a manuscript, you must inform us of your analysis and publication plans well in advance of submission of a paper, give us an opportunity to read and intellectually contribute to the manuscript, and, if appropriate, offer co-authorship.</strong> 
Contact: Songhan Wang (wangsonghan@njau.edu.cn) and Yongguang Zhang (yongguang_zhang@nju.edu.cn) 
<br>
  
Data format: netcdf. (Every .zip file contains the monthly SIF of a year)
Spatial extent: 90S-90N 180W-180E
Fill value: -9999
Scale factor: 0.001
Unit: mW m-2 nm-1 sr-1
<br>
DOI: 10.6084/m9.figshare.24798654.v1
title: SDWPF dataset

description: Wind power, while a clean and safe form of renewable energy, presents integration challenges to the grid system due to its variable supply. Consequently, Wind Power Forecasting (WPF) is pivotal for the successful integration and operation of wind energy. Existing publicly available WPF datasets, however, often feature a limited number of wind turbines and typically lack granular details on turbine locations and dynamic contextual information. To address this gap and promote the advancements of WPF research, we introduce a dataset called the Spatial Dynamic Wind Power Forecasting dataset (SDWPF). This dataset comprises data collected over one year from a wind farm housing an array of 134 wind turbines. The SDWPF dataset includes the spatial distribution of the wind turbines and the dynamic context factors for each turbine. Further leveraging the potential of SDWPF, we initiated the ACM KDD Cup 2022, drawing registrations from over 2400 teams globally.
DOI: 10.6084/m9.figshare.24916338.v1
title: implants data sheet (1).xlsx

description: Background: An implant-retained/supported prosthesis provides greater stability and retention, improved chewing forces with higher patient satisfaction than a conventional denture. Objective of the study was to compare the effectiveness of prosthetic rehabilitation of edentulous patients with conventional dentures, single median dental implant retained over dentures (SIMOD) with over dentures retained by two dental implants (TIMOD) in the canine or first premolar region. Methods: Thirty completely edentulous patients (fifteen each arm) presented to the Department of Prosthetic Dentistry, Faculty of Dental Sciences, University of Peradeniya were randomly selected for the SIMOD or TIMOD groups after CBCT assessment. Patients were initially provided with conventional complete dentures (CD). Surgical implant placement and prosthetic procedures were conducted at the Faculty of Dental Sciences. Once the ossueintergration was confirmed, healing caps and them ball attachments were fixed on the implants. Patients were reviewed at 3months, 6months and 1year after fitting of implant retained dentures on ball attachments and clinical outcome assessed by the clinician (retention, stability, support of the overdenture and success of the implant), by the patient (self-administered questionnaires), oral health related quality of life using OHIP-14 scale, and patient satisfaction with the prosthesis using a pretested questionnaire. Data were analyzed using Minitab. Level of statistical significance was considered as p&lt;0.05. Results: Patient comfort, esthetics, chewing, speech, general satisfaction, denture retention, stability, and support with TIMOD & SIMOD had been significantly increased than CD (p&lt;0.05) at 3, 6 months, and 1year review. Further, OHIP-14 scale showed statistically significant improved oral health related quality of life with SIMOD and TIMOD when compared with conventional dentures. However, when the SIMOD and TIMOD were compared, a significant difference was observed only with patient comfort with TIMOD at 3 months review. Conclusion: SIMOD & TIMOD improve outcome assessed by the patient and clinician and oral health related quality of life of the individual than CD. SIMOD can also be considered for improved outcomes in the management of completely editing patients.
DOI: 10.6084/m9.figshare.29114114.v1
title: MetaCipher

description: This is the supplementary material for MetaCipher
DOI: 10.17632/sm9p8vzn34
title: LINF_170018200

description: Steroid 5-alpha reductase-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.6084/m9.figshare.14430470.v1
title: Data from: Increased adaptive phenotypic plasticity in the introduced range in alien weeds under drought and flooding

description: Data on plant biomass and functional traits of <i>Rumex obtusifolius</i> and <i>Rumex conglomeratus</i> from both the native (United Kingdom) and introduced (New Zealand) ranges grown across an experimental soil moisture gradient in a greenhouse. Functional traits include chlorophyll content, root shoot ratio, specific leaf area and water use efficiency. Genotypes were cloned and planted across a soil moisture gradient including two levels of drought, a mesic treatment and flooding. Data include the trait values measured on each clone (Rumex Trait Data.csv). Data also include means and plasticity calculated for each genotype (Rumex Plasticity Data.csv). Plasticity was calculated as the slope of the reaction norm for each trait across either drought or flooding. Metadata, which describes the content of each column in the datasets, can be found in Rumex Data Metadata.csv.<br>These data are associated with the following manuscript:Bufford, JL & Hulme, PE. 2021. Increased adaptive phenotypic plasticity in the introduced range in alien weeds under drought and flooding. <i>Biological Invasions</i>. DOI: 10.1007/s10530-021-02532-5
DOI: 10.6084/m9.figshare.14716645.v1
title: The index of ideality of correlation: QSAR studies of hepatitis C virus NS3/4A protease inhibitors using SMILES descriptors

description: Robust and reliable QSAR models were developed to predict half-maximal inhibitory concentration (IC<sub>50</sub>) values of hepatitis C virus NS3/4A protease inhibitors from the Monte Carlo technique. 524 HCV NS3/4A protease inhibitors were extracted from the scientific literature to create a reasonably large set. The models were developed using CORAL software by using two target functions namely target function 1 (TF1) without applying the index of ideality of correlation (IIC) and target function 2 (TF2) that uses IIC. The constructed models based on TF2 were statistically more significant and robust than the models based on TF1. The determination coefficients (<i>r</i><sup>2</sup>) of training and test sets were 0.86 and 0.88 for the best split based on TF2. The promoters of the increase/decrease of activity were also extracted and interpreted in detail. The model interpretation results explain the role of different structural attributes in predicting the pIC<sub>50</sub> values of hepatitis C virus NS3/4A protease inhibitors. Based on the mechanistic model interpretation results, eight new compounds were designed and their pIC<sub>50</sub> values were predicted based on the average prediction of ten models.
DOI: 10.6084/m9.figshare.25608468.v1
title: Genome annotation file of the <i>Nilaparvata muiri</i>

description: Genome annotation file of the <i>Nilaparvata muiri</i>
DOI: 10.6084/m9.figshare.28404875.v1
title: Raw Data for A Lightweight Deep Learning for Real-Time Road Distress Detection on Mobile Devices

description: This dataset supports the research presented in the paper “A Lightweight Deep Learning for Real-Time Road Distress Detection on Mobile Devices.” The dataset contains annotated road distress images collected from diverse locations across Europe and Asia, ensuring robustness and generalizability. It includes raw images, preprocessed data, and corresponding labels used for model training, validation, and testing. The dataset is designed to facilitate the development and benchmarking of lightweight deep learning models for real-time road distress detection on resource-constrained devices, such as smartphones and mixed reality (MR) systems.
DOI: 10.17632/mz598gxfw9
title: Tea leaf disease Dataset

description: This dataset contains 5180 annotated images of tea leaves, collected and curated in April 2024 for the purpose of detecting and classifying common tea leaf diseases using computer vision techniques. The dataset includes six classes:

Algal Leaf Spot

Brown Blight

Gray Blight

Helopeltis

Red Leaf Spot

Healthy

All images were captured manually using detached tea leaves under varied lighting conditions and backgrounds to ensure diversity and robustness. The dataset was annotated using the Roboflow platform, with bounding boxes provided for each instance of disease or healthy leaf. This dataset is ideal for object detection and classification tasks in agricultural AI research.

Researchers can use this dataset to train, validate, and benchmark machine learning models aimed at improving automated disease diagnosis in tea cultivation.
DOI: 10.25442/hku.26518831.v1
title: Greenhouse Gas Emission and Water Quality Dataset: Zhanghe Reservoir System

description: "Zhenghe Reservoir GHG" is the Supplementary Dataset for the manuscript entitled 'Anthropogenic perturbations complicated the downstream greenhouse gas dynamics of a large subtropical reservoir'.The data includes the sampling date, location, surface water greenhouse gas (CO2, CH4, and N2O) concentrations and fluxes, along with water quality data (e.g., water temperature, pH, dissolved oxygen, and electrical conductivity) from the Zhanghe Reservoir and its upstream and downstream rivers in the dry season (December) of 2022 and the wet season (July) of 2023.
DOI: 10.6084/m9.figshare.21299598.v1
title: GC-MS data

description: GC-MS data
DOI: 10.6084/m9.figshare.24466606.v2
title: 全基因组关联研究 肺炎链球菌 确定了与疾病相关的遗传变异

description: 全基因组关联研究 肺炎链球菌 揭示了与疾病相关的遗传变异， 表明正在了致病性的复杂性、多因素性正在并为精确的靶向干预提供了遗传证据。