cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21074182.v4
title: Large-scale crowdsourced radiotherapy segmentations across a variety of cancer sites

description: Clinician generated segmentation of tumors and healthy tissue regions of interest (ROIs) on medical images is crucial for radiotherapy workflows. However, interobserver segmentation variability has long been considered a significant detriment to the implementation of high-quality and consistent radiotherapy dose delivery. This has prompted the increasing development and utilization of computational approaches for automated ROI segmentation, in particular deep learning based methods. However, extant public segmentation datasets typically only provide segmentations generated by a limited number of annotators with varying, and often unspecified, levels of expertise. In this data descriptor, a large number of clinician annotators manually generated segmentations for numerous ROIs on computed tomography images across a variety of cancer sites (breast, sarcoma, head and neck, gynecologic, gastrointestinal) for the Contouring Collaborative for Consensus in Radiation Oncology challenge. Over 200 clinician annotators (verified experts and non-experts) contributed to the generation of these segmentation data using a standardized annotation platform (ProKnow). Subsequently, we converted image and segmentation data into Neuroimaging Informatics Technology Initiative format with standardized nomenclature for ease of use by the research community. In addition, we generated consensus segmentations for experts and non-experts using the simultaneous truth and performance level estimation method. These standardized, structured, and easily accessible data are a valuable resource for systematically studying interobserver variability in ROI segmentation applications with an unprecedented large number of clinician annotators.<br>Version history details:1. v1 uploaded 12.10.2022.2. v2 uploaded 24.01.2023. Some ROI files had names with typos. This was rectified in this version.3. v3 uploaded 01.02.2023. Modified some file names to increase usability. Added DICOM and NIfTI data for select cases where available (sarcoma - MRI, H&N and GI - PET).4. v4 uploaded 16.08.2023. Excel file had some empty columns that caused the sheets to go to infinity. Fixed this. <br><br>
DOI: 10.6084/m9.figshare.23350322.v1
title: "<strong>Adding Scent: Exploring Improvements in Pan Trapping to Monitor Pollinators" publically available pan trap collection dataset</strong>

description: Publically available dataset. Pan traps collected from Redlands, California 2021 in affiliation with the University of Redlands.
DOI: 10.6084/m9.figshare.24036513.v2
title: <b>Effects of Re-Measurements of Health Literacy</b><b>, </b><b>Health Behavior, and Hemoglobin A1c with Qualitative Confirmation in Type 2 Diabetes Mellitus Patients</b>

description: This study aimed to explore the relationship between health literacy measures and health behaviors, as well as cumulative glucose levels, in patients diagnosed with type 2 diabetes mellitus (T2DM). Conducted as a mixed-methods study, the research aimed to examine the effects of repeatedly measuring individuals' knowledge about health, their health behaviors, and their ability to successfully manage their T2DM.Evaluating the impact of health literacy on health-related outcomes is of particular importance for individuals with T2DM, as this chronic condition necessitates continuous self-care and informed decision-making. By investigating how health literacy measures affect health behaviors and cumulative glucose levels, this study aimed to shed light on the potential role of health literacy in improving T2DM management and overall health outcomes. By utilizing a mixed-methods approach, the researchers could combine quantitative measurements with qualitative insights, allowing for a comprehensive examination of the complex relationship between health literacy, health behaviors, and T2DM management. These findings have the potential to inform healthcare professionals and policymakers regarding the importance of addressing health literacy in diabetes care and designing effective interventions to promote health knowledge and behavior change in patients with T2DM.
DOI: 10.6084/m9.figshare.24172992.v2
title: dTOR-985 full connectome (lead-dbs version)

description: Full dTOR-985 structural connectome, formatted for use in Lead-DBS.
DOI: 10.6084/m9.figshare.24311140.v3
title: EEG_1.zip

description: The dataset comprises EEG and qEEG data of 10 OCD individuals before and after the intervention, representing the pre and post-conditions.
DOI: 10.6084/m9.figshare.5267938.v1
title: Orthrozanclus elongata NIGPAS164893A - entire specimen

description: NIGPAS164892A - entire specimen
DOI: 10.6084/m9.figshare.22203235.v1
title: Jachowski et al. 2023: Support for the size-mediated sensitivity hypothesis within a diverse carnivore community

description: Data used in the Structural Equation Modelling analyses of Jachowski et al. 2023
DOI: 10.6084/m9.figshare.22811915.v1
title: Raw Olink data

description: Description The archive contains two files, for the Olink Explore 1546 assay and for the Explore Expansion assay. The files contain results for 10 study participants at 4 time points. The fields are separated by a semicolon. The sample IDs contains information about the sample and the time points. For example, sample ''<strong>SSNA-001B-PR1</strong>" represents the "<strong>normothermic, pre-acclimation</strong>" NPX data for sample "<strong>001B</strong>". Below are the abbreviations used for the four different time points. <strong>PR1:</strong> normothermic, pre-acclimation <strong>PT1:</strong> hyperthermic, pre-acclimation <strong>PR2:</strong> normothermic, post-acclimation <strong>PT2:</strong> hyperthermic, post-acclimation In total, for each sample, there are 2943 assays (separated into 2 files) for each of the 4 time points. Note that some proteins are duplicated across panels, for example, "TNF" (UniProt P01375) is present in four panels, so the OlinkIDs should be used as unique identifiers for the proteins. 20212016_Dube_NPX_2021-11-30.csv This file contains NPX data for 1472 assays of the Olink Explore 1546 panel. Those assays are divided into the following panels: <em>cardiometabolic</em>, <em>inflammation</em>, <em>oncology</em> and <em>neurology</em>. 20212017_Dube_NPX_2021-12-13_OID30253_corrected.csv This file contains NPX data for 1471 assays of the Explore Expansion panel. Those assays are divided into the following panels: <em>cardiometabolic II</em>, <em>inflammation II</em>, <em>oncology II</em> and <em>neurology II</em>.
DOI: 10.17632/3t4782ksbt
title: Mobile Payment Research Dataset (1997-2019)

description: The mobile payment reseach & publication dataset, which was indexed by Scopus from 1997 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: 10.17632/62smvmt5fw
title: Put on the light! The impact of Foreign Direct Investment and Governance on Access to Electricity in Africa

description: Data for the paper "Put on the light! The impact of Foreign Direct Investment and Governance on Access to Electricity in Africa"
DOI: 10.17632/gmcf67fw5h
title: 3D U-Net Rodent Brain Mask Result

description: This dataset is the results of testing data for '3D U-Net improves automatic brain extraction for isotropic rat brain MRI data'
DOI: 10.6084/m9.figshare.25922749.v1
title: Supplementary Material for the article by Y. Galanakis and B. Bladsgaard Jensen 2024.

description: Supplementary Material for the article by Y. Galanakis and B. Bladsgaard Jensen 2024: 'Re-Assembling the Network: Richard Christensen & the 1872–73 Purchase of Antiquities in Athens for the Copenhagen Royal Collections’, in Bobou, O., Raja, R. and Stamatopoulou, M. (eds), <i>Turning the Page</i>, Brepols.
DOI: 10.6084/m9.figshare.27073171.v1
title: Data.xlsx with Codes

description: The research focusing on the short and long term effects of tDCS along with motor relearning program on strength and balance in stroke survivors
DOI: 10.6084/m9.figshare.3808212.v1
title: Dataset of photos showing tree branches of a tree devoid of leaves

description: This small dataset shows two photographs of a tree devoid of most of its leaves from all branches. Geographical context of the picture is in tropical Singapore with abundant rainfall and sunshine. Photos were taken using a 5 megapixel smartphone camera.
DOI: 10.17632/2rhk7k5gww
title: Tongji-NTL

description: Global 500m NTL datasets (1992-2023)
DOI: 10.17632/5vghtj2dwz
title: Data for: Capital allocation under the FRTB regime via marginal measures

description: Simple example sheets for the determination of marginal measures for the Internal Model Approach (IMA) Expected Shortfall (ES) as well as the Sensitivity-Based Approach (SBA) of the Fundamental Review of the Trading Book (FRTB) regulation
DOI: 10.17632/665ps7fk45
title: Data for: The impact of social capital and social interaction on customers' purchase intention considering knowledge sharing in social commerce context

description: All data and software results are presented.
DOI: 10.17632/mjy453j33n
title: Battery Synthetic Dataset and Degradation Diagnosis Code

description: The dataset includes synthetic data for NMC-811 battery, which is generated by the mechanistic model in Matlab. Corresponding article: “Battery degradation diagnosis under normal usage without requiring regular calibration data, Journal of Power Sources, Ze Wu, Yongzhi Zhang, Huizhi Wang." The first four columns in the dataset are LLI, LAMPE, LAMNE, and SOH, and the rest are corresponding IC sequence values.
The data is used for degradation mode diagnosis based on Gaussian process regression, and the code is the core part used for diagnosis. This information is explained in the code.
More details can be found in the corresponding paper, thank you for your interest.
DOI: 10.17632/r93nz95zc7
title: Fernandez-Lopez Results spreadsheet diaphragm treatment and shoulder

description: This dataset (from clinical trial: Effects of diaphragm muscle treatment in shoulder pain and mobility in subjects with rotator cuff injuries: a dataset derived from a pilot clinical trial) summarises in 16 tables the effectiveness of each of the three intervention groups in shoulder ROM and pain, extracted from 27 subjects with rotator cuff injuries that met the inclusion criteria for the pilot clinical trial. The data are ordered into seven sections. Section 1 contains Table 1 with the raw data of each measure of each variable with a list of abbreviations. Section 2 presents the Shapiro-Wilk test to assess the normality of continuous data (Supplementary Table 2). Section 3 (Supplementary Tables 3, 4, 5) summarises the data of the immediate effectiveness of all three interventions on improving ROM during shoulder flexion, abduction and external rotation using an inclinometry assessment. Section 4 (Supplementary Tables 6, 7, 8) summarises the data of the immediate effectiveness of all three interventions on improving pain during shoulder flexion, abduction, external rotation and extension using Numeric Pain Rating Scale (NPRS). Section 5 (Supplementary Tables 9, 10, 11) summarises the data of the immediate effectiveness of all three interventions on improving PPT in the supraspinatus tendon, xiphoid process and spinous process of C4 using an algometry assessment. Section 6 contains the between-groups comparisons (Supplementary Tables 12, 13, 14). Section 7 (Supplementary Tables 15, 16) contains the data of the demographic and anthropometric characteristics of subjects in each group regarding mean age and mean weight.
DOI: 10.6084/m9.figshare.1372041.v5
title: A table summarizing the Federal public access policies resulting from the US Office of Science and Technology Policy memorandum of February 2013

description: This is a crowd-sourced table (tab-delimited) that attempts to collect and consolidate guidelines from federal agencies related to their plans for facilitating public access to results from the research funded within each agency. These "Public Access Plans" are the result of a US Office of Science and Technology Policy (OSTP) memorandum that was published in February 2013. To view or contribute to the evolving, current version of the Google spreadsheet, please visit the first link listed below (at bit.ly). A data dictionary is also included here (PDF), which explains the headers and agency acronyms. Note: the Google spreadsheet is formatted for better viewing; the tab-delimited spreadsheet facilitates accessibility. The spreadsheet is largely maintained by academic library-based data specialists, but all are welcome to use it, contribute to it, and share it. We will periodically update this fileset (most recent version: 18 April 2016), but the current version of the table will always be found in the Google spreadsheet.**An "official" collection of responses is finally available, and is being managed and updated by SPARC (the Scholarly Publishing and Academic Resources Coalition). See: http://datasharing.sparcopen.org/ <br>
DOI: 10.6084/m9.figshare.24116583.v1
title: <b>Dataset:</b> Robotic Sanding MDF Roughness

description: <b>Article</b>: Application of computer vision techniques to estimate surface roughness on wood-based sanded workpieces.
DOI: 10.6084/m9.figshare.28212140.v1
title: Kidney Panel-ACTN4

description: The dataset contains all the variants identified after WES and filtering by a kidney panel.
DOI: 10.17632/8z22js79dk
title: Nile red fluorescence readings with different yeast strains, solvents and incubation time

description: The dataset includes fluorescence intensity of Nile red using different solvents, yeast strains, and incubation times in optimized excitation/emission wavelengths.
DOI: 10.17632/c5bxpgbdr2
title: Embayed Beach Morphometrics Dataset

description: This data is the raw morphometric measures from 168 embayed beaches, combined with calculated δ' and γe values and headland assessments from Fellowes et al (in press). Tab1: The measured morphometrics of embayed beaches from 6 regions of the world, calculated δ' and γe, headland orientations and classes of embayed beach. Tab2: Image details and source. Notation for data: a is indentation of the embayment (m) Ae is total embayment area (m2) Hb is breaker wave height at the beach (m) Ro is the headland width (m) Sl is the total embayment length including beach and headlands (m) Xd is alongshore beach length (m) Xsh is the portion of the beach length shadowed by headlands (during dominant swell direction) (m) δ' is the non-dimensional embayment scaling parameter (Short and Masselink, 1999) θh is headland orientation relative to beach aspect (and dominate swell direction) (º)
DOI: 10.17632/w4ytdcdwry
title: Synthetic Employee Records Dataset (SERD)

description: This dataset contains a set of occupational and identity information of employees of a fictitious company, which includes 6 document files including "certificates", "identification cards", "documents", " letters", "reprimands" ,and "Commendations".
 The purpose of creating this dataset has been to provide a comprehensive database for use in scientific and research articles because similar data are not easily accessible on the Internet due to the sensitivities associated with personal and identity information. Therefore, this dataset only contains imaginary data. The information in it is all fake, and we also downloaded the employee id card from the fakedownload site. This dataset allows us to provide practical and usable data for scientific research without using real and sensitive information.
DOI: 10.25442/hku.24945059.v2
title: Greenspace data cube for 2019_Part2

description: Greenspace data cube for 2019
DOI: 10.6084/m9.figshare.11710002.v2
title: Global distribution and bioclimatic characterization of alpine biomes

description: Data from: Testolin R, Attorre F, Jimenéz-Alfaro B. 2020. Global distribution and bioclimatic characterization of alpine biomes. Ecography 43: 779-788.<br>The repository contains:1) Sample of the Google Earth Engine script used for extracting unforested areas;2) Sample of the R script used to model treeline elevation using quantile regression and extract alpine areas;3) Means and standard deviations of treeline elevations of global mountain ranges;<br>4) Spatial layer (ESRI Shapefile, EPSG 4326) of the distribution of global alpine ecosystems at 30m resolution (v1.0);<br>5) Spatial layer (ESRI Shapefile, EPSG 4326) of the distribution of global alpine ecosystems at 1km resolution, split by climatic cluster and ecoregion.<br><br><b>UPDATE 14/1/2022</b>6) Updated spatial layer (ESRI Shapefile, EPSG 4326) of the distribution of global alpine ecosystems at 30m resolution with continents, mountain names and areas information (v1.1).
DOI: 10.6084/m9.figshare.11944932.v1
title: NILM Data-Set

description: There are 6 files corresponding to aggregate energy data collected at 6 different source voltages from 190V to 240V.The features in the data are Voltage,Current, Active Power(P), Apparent Power(S), Reactive Power(Q), Power Factor, Phase angle, Class, Resistance, Pdiff, Sdiff, Qdiff, Rdiff, Device. <br>It is a continuous time series data collected at 10 Hz from automated data collection setup. Collect aggregate data of 7 home appliances namely Geyser, Kettle, Mixer, Oven, Fan, Air Purifier and Vacuum Cleaner.<br><br>The Class column contains a numeric value whose binary equivalent represents the configuration of appliance in ON/OFF state that results the aggregate data. The numbers are grey code sequence, allowing only one device change state at any time.<br>Device column contains the label of the event happened in data such as Geyser in ON state event labelled as GON. Fan in OFF state event is FOFF. The No events data are labelled as NN.<br> <br>Resistance column is calculated feature, is the ratio of voltage and current. Other features such as Pdiff, Sdiff, Qdiff and Rdiff are the single difference values of P, S,Q and R features.<br>
DOI: 10.6084/m9.figshare.12534458.v1
title: miRNA-seq data Lean-EVs and MetS-EVs

description: miRNA-seq data Lean-EVs and MetS-EVs
DOI: 10.6084/m9.figshare.19692241.v1
title: A dataset of distribution of antibiotic occurrence in solid environmental matrices in China

description: This is an up-to-date dataset of the distribution of antibiotic occurrence in solid environmental matrices in China, derived from 210 peer-reviewed literature published between 2000 and 2020. The dataset contains 6929 records of geo-referenced occurrences for 135 antibiotics distributed over 391 locations distinguished at four levels of scale i.e., provincial, prefectural, county, and township and finer.
DOI: 10.6084/m9.figshare.26925064.v1
title: 6G-Networkdata

description: It has 838 rows of entries for networking dataset
DOI: 10.6084/m9.figshare.7434203.v2
title: single-step_strategies

description: The genomic data (SIM_genotype.bed.gz, SIM_genotype.bim.gz and SIM_genotype.fam.gz) and phenotypic data (SIM_phenotype.txt.gz and SIM_pedigree.txt.gz) were simulated by the multiple-trait genomic simulation software GPOPSIM. Trait A (h2=0.1) and trait B (h2=0.3) with high genetic correlation of 0.7 were simulated, the population included 30000 individuals with 10 generations. The Yorkshire data contains genomic data (pig.bed.gz, pig.bim.gz and pig.fam.gz) with 589 individuals used in the study and phenotypic data (pig_body_phenotype.txt.gz and pig_body_pedigree.txt.gz) of 7 body measurement traits. <br>
DOI: 10.6084/m9.figshare.24078237.v1
title: Can We Fix It? Automatic Program Repair of Defect Benchmarks -- Raw data

description: Raw data of the execution of 11 Automated Program Repair (APR) tools on 1,761 defects from 5 different benchmarks, using the APR-Eval framework available at https://github.com/jose/apr_eval_framework.
DOI: 10.15468/dl.mqttrv
title: Occurrence Download

description: A dataset containing 1512208412 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EOD – eBird Observation Dataset"
 ]
}

 The dataset includes 1512208412 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013216-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/dwf8vn5wk2
title: Data for: CHIDAM -A software for CHemical Interpretation of the Dissolved ions in Aqueous Media

description: A software was coded in C++ and compiled in Visual C for the basic interpretation of the geochemical data, considering the utility thermodynamic nature and classification of water. The input data includes Ca, Mg, Na, K, Cl, HCO3, SO4, F, NO3, Si, TDS, EC, pH and Temperature. The output of the software presents the parameters like I.B.E. (Index to Base Exchange), Schollers water type, R.S.C. (Residual sodium carbonate), S.A.R. (Sodium Adsorption Ratio), N.C.H. (Non Carbonate Hardness), P.I, (Permeability Index), K.R. (Kellys Ratio), P.S. (Potential Salinity), M.H. (Magnesium hazard), S.S.P. (Soluble Sodium Percentage) and Na% (Sodium Percentage). The software also calculates the Scholler Classification, Corrositvity ratio, Chloride Classification, Cation, Anion facies and Handas Classification for each sample. The corrosive nature of the water sample is also determined by the software by calculating Puckorius Scaling index, Ryznar stability index, Larson-Skold index, Langelier saturation index and Aggressive index for each sample. Activity coefficient, Ionic activity and silicate stability diagrams were designed in the output. Later the total number samples were grouped based on the standard classification adopted for each calculated parameter. Standard diagrams like USSL, Johnsons plot, Gibbs, Doneens, other thermodynamic plots for Na, K, Mg for silicate system also form the output of the software. The output are saved in different files as opted during the execution of the program. Disclaimer: Since the software is free and provided "as is," the authors, the KISR, and the Kuwait Government have made no warranty, express or implied, as to accuracy or completeness and are not obligated to provide the user with any support, consulting, training or assistance of any kind with regard to the use, operation, and performance of this software nor to provide the user with any updates, revisions, new versions or "bug fixes". The user assumes all risk for any damages whatsoever resulting from loss of use, data, or profits arising in connection with the access, use, quality, or performance of this software. Software is copyrighted No.04-0091/2019.
DOI: 10.17632/z29xx9pxh6
title: Supplementary Material for JAAD-D-23-00715 “Composite subcuticular subcutaneous buried suture”

description: Supplementary figure 1. A) Baseline photo of post-traumatic scar on forehead against relaxed skin tension lines; B) follow up at 3 weeks post-op
DOI: 10.6084/m9.figshare.7671836.v2
title: Swimming behaviour and energetics of white sharks

description: Dataset used in the linear mixed-effect model analyses. Watanabe et al. (2009) Swimming strategies and energetics of endothermic white sharks during foraging. J. Exp. Biol.
DOI: 10.17632/3r5w5nmdvy
title: “What Fuels the Employees in Startups?”: Data on Hybrid/Colocated/Virtual Working Environment Towards Efficiency (Original Data)

description: The respondents in the data felt that the pre-covid workplace provided them with benefits. In the hybrid model, work efficiency is improved by the presence of autonomy and flexibility. Happiness at work and productivity both increase when employees are given more responsibility.