cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20457090.v1
title: Bridge Matrix

description: The binary matrix used to merge 166 sectors into 55 sectors.
DOI: 10.6084/m9.figshare.25771113.v1
title: <b>Mechanics of Wind Erosion-Induced Dust Emission from Soil Crusts: A Theoretical Predictive Model</b>

description: This study establishes the relationship between crusted surface dust release fluxes and wind-sand flow through theoretical derivation and provides field and experimental data. This helps to improve the accuracy of sand and dust release simulations for large mesoscale models.
DOI: 10.17632/2ws2g3pn6w
title: Data for: Office activity recognition using accelerometers and gyroscopes located on the forearms

description: This dataset contains information of gyroscopes and accelerometer located on forearms meanwhile 5 activivities are performed (Use the computer, Have a phone conversation, Take notes-handwriting, Drink a Beverage and Look at the smartphone). These activities are typical in an office. Sensors collect data during 3 minutes approximately when the person seats down and develops each specific activity. There is a csv file per user-activity-trial which contains records of the 3 minutes activity. There are 230 csv files in total which have information of 7 users, the users 1-4 performed 5 trials each one and users 5-7 performed 1 trial. - The activities are numbered in the csv files and their names as follows: 1. Use the computer 2. Drink a Beverage 3. Have a phone conversation 4. Take notes-handwriting 5. Look at the smartphone - The columns name are related in the headerLA (letf forearm) and headerRA (rigth forearm) files.
DOI: 10.17632/ccyn67k23k
title: Snacks, nudges and asymmetric peer influence: Evidence from food choice experiments with children in Indonesia

description: Replication data and code: de Vries Mecheva, Margarita; Rieger, Matthias; Sparrow, Robert; Prafiantini, Erfi; Agustina, Rina (2022). Snacks, nudges and asymmetric peer influence: Evidence from food choice experiments with children in Indonesia. Journal of Health Economics, 79, 102508. https://doi.org/10.1016/j.jhealeco.2021.102508
DOI: 10.6084/m9.figshare.4805656.v1
title: salamander feeding experiment data.xlsx

description: Excel file of weights of salamanders
DOI: 10.17632/r52v2drd9b
title: Aguilar-Pineda et al. Structural and functional analysis of female sex hormones against SARS-Cov-2 cell entry

description: This dataset contains all the raw data and codes used for th adquision of the data presented in the manuscript: "Structural and functional analysis of female sex hormones against SARS-Cov-2 cell entry " by Aguilar-Pineda et al. Here we report new insights into the molecular basis of the interactions between the SARS-CoV-2 spike (S) protein and the human ACE2 receptor. We further report that glycosylation of the ACE2 receptor enhances SARS-CoV-2 infectivity. Importantly estrogens can disrupt glycan-glycan interactions and glycan-protein interactions between the human ACE2 and the SARS-CoV2 thereby blocking its entry into cells.
DOI: 10.17632/5vdz5cftz7
title: Neonatal Sepsis Registry: Time to Antibiotic Dataset

description: Fully de-identified cohort of 1946 sepsis evaluations among infants at Children's Hospital of Philadelphia. Data were collected between September 2014 and February 2018. These data were used to evaluate associations between time to antibiotics, baseline clinical characteristics, and clinical outcomes.
DOI: 10.17632/yrfkgrwtg5
title: EEG data repository

description: Rhythmic Auditory Stimulation(RAS) has been shown to be of help in an effective gait training of people with idiopathic Parkinson’s disease(PD).The cerebellum may play an important role in RAS aftereffects by compensating the detrimental internal clock for automatic and rhythmic motricity. However, the neurophysiological mechanisms underlying RAS aftereffects are still poorly understood. In the present study, we tested the contribution of the cerebellum to RAS-based gait training aftereffects in people with PD by examining cerebellum-cerebral connectivity indices using standard EEG recording. We enrolled 50 patients with PD who were randomly assigned to two different modalities of treadmill gait training using GaitTrainer3 with and without RAS (non_RAS) during an 8-week training program. We measured clinical and kinematic gait indices and electrophysiological data(standard EEG recording during walking on GaitTrainer3) of both the gait trainings. We found that the greater improvement in gait performance following RAS than non_RAS training, as per clinical and kinematic assessment, was paralleled by a more evident reshape of cerebellum-brain functional connectivity with regard to specific brain areas(pre-motor, sensorimotor and temporal cortices) and gait-cycle phases(mainly 25-75% of the gait cycle duration).These findings suggest that the cerebellum mediates the reshape of sensorimotor rhythms and fronto-centroparietal connectivity in relation to specific gait-cycle phases. This may be consistent with a recovery of the internal timing mechanisms generating and controlling motor rhythmicity, eventually improving gait performance. The precise definition of the cerebellar role to gait functional recovery in people with PD may be crucial to create patient-tailored rehabilitative approaches.

The data deposited are related to the time course of the local maxima of the regions of interest (ROIs) showing functional activation at each of the gait cycle phases (0-25, 25-50, 50-75, and 75-100%), group (NMT and non-NMT), and time of assessment (TPRE and TPOST). Activity is shown for the maximum amplitude vertex within each ROI during the gait epoch.
DOI: 10.6084/m9.figshare.16578275.v2
title: Meta-regression data

description: Dataset of meta-regression included in the study "Effects of physical activity levels on efficacy of vaccination"<br>
DOI: 10.6084/m9.figshare.19217421.v1
title: [PatchWarp] Calcium imaging data for across-session registration

description: Example mean and max-projection images from an early and late 2-photon calcium imaging sessions. The data was collected from the retrosplenial cortex of a camk2-tTA::tetO-GCaMP6s transgenic mouse. This data set can be used to run 'patchwarp_across_sessions_demo.m' in the github repository for PatchWarp (https://github.com/ryhattori/PatchWarp). <br>
DOI: 10.6084/m9.figshare.24533161.v1
title: Isoflavonoid content in the soybean seeds and soybean malts

description: Data concerning isoflavonoid content in the soybean seeds and soybean malts produced from Abaca, Abelina and Aurelina varieties, germinated by 1-5 days and dried in two different drying regimes (typical for 'light' malt and typical for 'caramel' malt).
DOI: 10.17632/3t39fctrzv
title: Multi-Dimensional Patients' Dataset for: Development of Online Assessment and Machine Learning Prediction of Medication Non-Adherence with Intervention System

description: The prevalence of medication non-adherence among outpatients with chronic illnesses has continued to pose a challenge to the success of clinical treatment outcomes. Assessment of medication non-adherence of existing patients with the prediction of new patients who are unlikely to adhere to their prescribed medication is needed to aid the development of a patient-centered intervention system. 
We used a cross-sectional survey questionnaire to distribute to 609 outpatients with non-communicable chronic diseases across three (3) tertiary healthcare facilities in the southeast region of Nigeria. The facilities include Alex Ekwueme Federal University Teaching Hospital Abakaliki, Ebonyi State; Federal Medical Centre Umuahia, Abia State; and Federal Medical Centre Owerri, Imo State. 
The dataset contains data on demographics, medication regimens, use of USSD code, an agent's voice call with SMS to deliver persuasive adherence intervention messages, and reasons for missing medications. Also, generated data on attitude, medication belief, and disease knowledge of patients towards medication non-adherence were by a likert scale of 5-point for categorization. The collated data formed the multi-dimensional datasets.
Leveraging patients’ multi-dimensional datasets could advance the course of improving patient’s medication adherence in the following ways: (a) developing predictive, prescriptive, prognostic, descriptive, and diagnostic applications tailored towards solving individual patients’ needs; (b) providing in-depth insight on why patients fail to adhere to their prescribed medications; (c) easy identification of clusters of patients who are likely to be non-adherent across the domain of chronic diseases; (d) improving administrative and operational efficiency (e) supporting clinical decision with patient monitoring and management.
DOI: 10.6084/m9.figshare.24625287.v4
title: Data&Script_Anjos_etal_PogonomyrmexProject

description: R code,data and metadata to replicate the analysis in "<b>Distance from nest and climate explain geographical trends of harvester ant’s food resource use: a multi-species approach</b>" by Anjos et al.Data tables presneted in .csv format.Metadata presented in .csv formatR script
DOI: 10.6084/m9.figshare.28015949.v1
title: Dinosaur Tracksites of La Rioja, Spain – 3D Models

description: Photogrammetric models of tracksites. Field work was carried out in 2023 (Permit Number E-298616) and supported by a Jurassic Foundation grant to Lallensack.<br><br>Tracksites:<br><br>El Frontal<br>Barranco de ValdecevilloFuentesalvo<br>ValdetéPeñaportillo<br>El ContaderoBarranco de Valdebrajés<br>Barranco de la Canal<br>Camino a Treguajantes<br>La Cuesta de Andorra<br>Era del Peladillo<br>La Virgen del PradoLa Senoba<br>La Virgen del CampoLas Losas<br>Las Peñas Amarillas<br>Los Piojos<br>Navalsaz<br>Peñaportillo<br>SotoValdemayor<br>Santisol<br>
DOI: 10.17632/43kw96h5xj
title: Model to Predict TQM in HEIs

description: Data from a survey on TQM implementation in HEIs
DOI: 10.6084/m9.figshare.13370504.v17
title: Speedtest Open Data - Australia 2020 Q2, Q3, Q4 extract

description: This is an Australian extract of Speedtest Open data available at Amazon WS (link below - opendata.aws).<br>AWS data licence 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>A world speedtest open data was dowloaded (&gt;400Mb, 7M lines of data). An extract of Australia's location (lat, long) revealed 88,000 lines of data (attached as csv).<br>A Jupyter notebook of extract process is attached.A link to Twitter thread of outputs provided.A link to Data tutorial provided (GitHub), including Jupyter Notebook to analyse World Speedtest data, selecting one US State.<br>Data Shows: (Q2)- 3.1M speedtests- 762,000 devices- 88,000 grid locations (600m * 600m), summarised as a point- average speed 33.7Mbps (down), 12.4M (up)- Max speed 724Mbps- data is for 600m * 600m grids, showing average speed up/down, number of tests, and number of users (IP). Added centroid, and now lat/long.<br>See tweet of image of centroids also attached.<br>Versions:v15/16. Add Hist comparing Q1-21 vs Q2-20. Inc ipynb (incHistQ121, v.1.3-Q121) to calc.v14 Add AUS Speedtest Q1 2021 geojson.(79k lines avg d/l 45.4Mbps)v13 - Added three colour MELB map (less than 20Mbps, over 90Mbps, 20-90Mbps)v12 - Added AUS - Syd - Mel Line Chart Q320.v11 - Add line chart compare Q2, Q3, Q4 plus Melb - result virtually indistinguishable. Add line chart to compare Syd - Melb Q3. Also virtually indistinguishable. Add HIST compare Syd - Melb Q3. Add new Jupyter with graph calcs (nbn-AUS-v1.3). Some ERRATA document in Notebook. Issue with resorting table, and graphing only part of table. Not an issue if all lines of table graphed.v10 - Load AURIN sample pics. Speedtest data loaded to AURIN geo-analytic platform; requires edu.au login.v9 - Add comparative Q2, Q3, Q4 Hist pic.v8 - Added Q4 data geojson. Add Q3, Q4 Hist pic.v7 - Rename to include Q2, Q3 in Title.v6 - Add Q3 20 data. Rename geojson AUS data as Q2. Add comparative Histogram. Calc in International.ipynb.v5 - add Jupyter Notebook inc Histograms. Hist is count of geo-locations avg download speed (unweighted by tests).v4 - added Melb choropleth (png 50Mpix) inc legend. (To do - add Melb.geojson). Posted Link to AURIN description of Speedtest data.v3 - Add super fast data (&gt;100Mbps) less than 1% of data - 697 lines. Includes png of superfast.plot(). Link below to Google Maps version of superfast data points. Also Google map of first 100 data points - sample data. Geojson format for loading into GeoPandas, per Jupyter Notebook. New version of Jupyter Notebook, v.1.1.v2 - add centroids image.v1 - initial data load.<br>** Future Work- combine Speedtest data with NBN Technology by location data (national map.gov.au); https://www.data.gov.au/dataset/national-broadband-network-connections-by-technology-type- combine Speedtest data with SEIFA data - socioeconomic categories - to discuss with AURIN.- Further international comparisons- discussed collaboration with Assoc Prof Tooran Alizadeh, USyd.
DOI: 10.6084/m9.figshare.28620074.v2
title: Resist!: Sustaining forest carbon sequestration and wood production after insect disturbance, supporting data for Figure 4.

description: These data are reported in Figures 4 and 5 of the referenced Frontiers in Ecology and the Environment manuscript, authored by Gough et al. (2025)
DOI: 10.6084/m9.figshare.28847261.v1
title: Emulated postural instability data

description: The research is related to classify postural instability with a machine learning model. The data have been emulated with a structure mounting an accelerometer and include 4 classes of postural instability: stable standing, antero-posterior instability, medio-lateral instability and general instability.
DOI: 10.6084/m9.figshare.22691125.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: 10.6084/m9.figshare.3526571.v1
title: Appendix D. P values for post hoc pairwise comparisons of worker masses (Tukey's unequal N hsd).

description: P values for post hoc pairwise comparisons of worker masses (Tukey's unequal N hsd).
DOI: 10.6084/m9.figshare.11808765.v1
title: (PART 2 OF 5) 9 molecular dynamics simulations (500ps 3 x 3 replicates) of coronavirus 2019-nCoV protease unrefined crystal structure in complex with 3 different conformations of lopinavir.

description: See part 1.<br>Part 2 of 5:XHD_LC1c<br>XHD_LC2a
DOI: 10.6084/m9.figshare.19626708.v1
title: References.docx

description: References included in systematic literature review: <strong>Quantitative process measures in interventions to improve employees' mental health: A systematic literature review and the IPEF framework</strong> <strong>authored by Karina Nielsen, Marco De Angelis, Siw Tone Innstrand and Greta Mazzetti</strong>
DOI: 10.6084/m9.figshare.7188008.v1
title: Blockchain Energy Markets - data

description: This paper presents the design, the prototype implementation and the analysis of the operational data of a decentralized, real time, uniform-price double auction energy market. A distributed and decentralized application specifies, based on a smart contract, the operating rules of the market. Energy market participants interact with the contract sending their asks and offers and the distributed application clears the market based on a double auction model. <br>We propose three different approaches for implementing, through the Ethereum platform, both the P2P network and the smart contract. In these approaches, we gradually move computation from the smart contract to the machines running on the blockchain nodes. We are systematically compare the three approaches on the basis of their decentralization nature, operating costs, computational costs, effectiveness, security, privacy and beyond. Their effectiveness and accuracy are evaluated through comparisons with the results of the same market operated conventionally by a centralized authority. <br>A model representing a physical demonstration project conducted on the Olympic Peninsula, Washington, USA is utilized to simulate the power grid and to provide us with the data for our analysis.
DOI: 10.17632/d9zh352rf2
title: Multimodal Generative AI and NFT Metadata

description: This dataset comprises three primary components: the smart contract application, the uploader application, and recordings of the app demo.
DOI: 10.6084/m9.figshare.13803185.v1
title: Metadata record for: A dataset of daily ambulatory psychological and physiological recording for emotion research

description: This dataset contains key characteristics about the data described in the Data Descriptor A dataset of daily ambulatory psychological and physiological recording for emotion research. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br>
DOI: 10.6084/m9.figshare.6072815.v1
title: BlrInflowNetwork_Manohar and Mohan Kumar 2013.inp

description: Bangalore Inflow Network Data; used in : Manohar, U., & Mohan Kumar, M. S. (2013). Modeling equitable distribution of water: Dynamic inversion-based controller approach. <i>Journal of Water Resources Planning and Management</i>, <i>140</i>(5), 607-619.
DOI: 10.17632/mytym5yxjd
title: Data for: Modern Data Analytics Approach to Predict Creep of High-Temperature Alloys

description: ORNL's alumina-forming austenitic (AFA) alloy creep dataset augmented with phase equilibrium information computed from TCFE9 database as implemented in Thermo-Calc software.
DOI: 10.17632/dm6y3njwwn
title: Dataset of Customer Review or Influencer Endorsement: which one influences purchase intention more?

description: Electronic word-of-mouth (eWOM) is considered a reliable source of information. Customer reviews and influencer reviews can be considered eWOM. They represent customers’ sharing of experience and evaluation of a product or service with other potential shoppers. To understand the influence of customer review and influencer endorsement to intention to purchase an survey using a questionnaire as the instrument was conducted. Using experimental design (2x1), 200 respondents from3 cities in Greater Jakarta were approached. They were divided into two groups, Customer Review Group and Influencer Group. They were asked to self-rate their opinion on customer review, influencer review, trust and purchase intention. The results are important because we identified the different level of influence of customer review and influencer endorsement. A more comprehensive analysis of this data may be obtained from article “Customer Review or Influencer Endorsement: which one influences purchase intention more?” in the Heliyon Journal.
DOI: 10.6084/m9.figshare.5554654.v1
title: Experiment NoMT-SubjectI-160512-0States

description: Experiment in which subject did not perform any mental imagery but passively watched the BCI's user interface, used to establish a baseline.
DOI: 10.6084/m9.figshare.12115746.v1
title: dataset V 1.0 - Economical Assessment of Working Memory and Response Inhibition in ADHD

description: This study aims to validate a combined <i>n</i>-back/nogo paradigm by comparing it to single task versions and to demonstrate its applicability for ADHD research. Twenty-five healthy individuals and 34 ADHD patients between 9 and 16 years participated in this ERP study. Healthy controls underwent single task versions of a 2-back working memory task and a go/nogo response inhibition task as well as the introduced combined 2-back/nogo task.<br>This file contains the dataset of this study.<br>
DOI: 10.6084/m9.figshare.20431578.v2
title: HN2 genomes

description: Gap-free nuclear and mitochondrial genomes of <em>Fusarium verticillioides</em> strain HN2
DOI: 10.6084/m9.figshare.3521150.v1
title: Supplement 1. The sample codes in R and ADMB for the estimation and simulations with a dummy data set.

description: File List 1. functions.R (MD5: 22fd7e17fd9b415ad00b83929c86a139) 2. gamma_ss4.tpl (MD5: 306a18eea79fd8158f58d72dfbaba741) 3. ndata1.csv (MD5: a2aa1f32de690becb6273395252c430e) 4. vpa.txt (MD5: c1ed50a7da11254696b2894fc3f4a3db) 5. R_code.R (MD5: c388cfe173fd72e1bcd4d81bfd8b9de3) Description The supplement includes 5 files. The R script functions.R merges variety of utility functions for conducting parameter estimation using GLM and GSSM and population dynamics simulations. The script gamma_ss4.tpl is written by ADMB and should be complied before using from R. The files ndata1.csv (daily catch and effort data) and vpa.txt (results of VPA) is the data for the simulation. Note that ndata1.csv is a “dummy data” created by a stochastic simulation using the estimated parameters because the raw data cannot be publically available. Therefore, the estimated values with this data are different from results described in the paper. The main R script for the implementation of the entire analysis in the paper is R_code.R. The script describes how to read functions.R, ndata1.csv, and vpa.txt, compile gamma_ss4.tpl, and use variety of functions in functions.R for the simulation.
DOI: 10.17632/rw3hyjg2h4
title: A Complex Hierarchy of Avoidance Behaviors in a Single-Cell Eukaryote, Dexter et al. (Day 4)

description: Videos for Dexter et al. (Day 4)
DOI: 10.6084/m9.figshare.4805749.v5
title: Bengalese Finch song repository

description: This is a collection of song from four Bengalese finches recorded in the Sober lab at Emory University. The song has been hand-labeled by two of the authors. To make it easy to work with the dataset, we have created a Python package, "evfuncs", available at https://github.com/soberlab/evfuncs (Please see "References" section below for a direct link).<br><br>How to work with the files is described on the README of that library, but we describe the types of files here briefly. The actual sound files have the extension .cbin and were created by an application that runs behavioral experiments and collects data called EvTAF. Each .cbin file has an associated .cbin.not.mat file that contains song syllable onsets, offsets, labels, etc., created by a GUI for song annotation called evsonganaly. Each .cbin file also has associated .tmp and .rec files, also created by EvTAF. Those files are not strictly required to work with this dataset but are included for completeness.<br><br>We share this collection as a means of testing different machine learning algorithms for classifying the elements of birdsong, known as syllables. A Python package for that purpose, "hybrid-vocal-classifier", was developed in part using this dataset.<br>To learn more about hybrid-vocal-classifier, please visit https://hybrid-vocal-classifier.readthedocs.io/en/latest/ (see "References" section below for a direct link).<br>
DOI: 10.17632/745m54sd9c
title: Data for: Heterogeneous Worker Flows and Japan's Labor Market

description: I collected the labor flow data from the monthly Labour Force Survey (LFS) of the Statistics Bureau of the Ministry of Internal Affairs and Communications in Japan. From the LFS, I used the results of the basic tabulation (Table I-7) from 2013Feb to 2018Dec. The URL of this database is http://www.stat.go.jp/english/data/roudou/index.htm. I corrected the raw data by adjusting the flows using the method of the Ministry of Labour (1985). Further, I seasonally-adjust them using the X-12-ARIMA program. The TSdata.xlsx file provides this dataset. The Simul_AGG.m conducts the counterfactual simulation in the paper. This program is for the aggregate data.