cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4501759
title: ECOBREED WP2 wheat data related to Botyanszka et al. (2020)

description: Raw data related to Figures 1 to 3 of the publication Botyanszka et al. (2020) Chlorophyll fluorescence kinetics may be useful to identify early drought and irrigation effects on photosynthetic apparatus in field-grown wheat. Agronomy 10, 1275. https://doi.org/10.3390/agronomy10091275
DOI: 10.5281/zenodo.2650142
title: The DREAMS Databases and Assessment Algorithm

description: <strong>The DREAMS Databases and Assessment algorithm</strong> During the DREAMS project funded by Région Wallonne (Be), we collected a large amount of polysomnographic recordings (PSG) to tune, train and test our automatic detection algorithms. These recordings were annotated in microevents or in sleep stages by several experts. They were acquired in a sleep laboratory of a belgium hospital using a digital 32-channel polygraph (BrainnetTM System of MEDATEC, Brussels, Belgium). The standard European Data Format (EDF) was used for storing. In order to facilitate future research and performance comparision, we decided to publish these data on Internet. Therefore, eight DREAMS databases are available according to the annotation carried out (click on the link to open): • The DREAMS Subjects Database: 20 whole-night PSG recordings coming from healthy subjects, annoted in sleep stages according to both the Rechtschaffen and Kales criteria and the new standard of the American Academy of Sleep Medicine; • The DREAMS Patients Database: 27 whole-night PSG recordings coming from patients with various pathologies, annoted in sleep stages according to both the Rechtschaffen and Kales criteria and the new standard of the American Academy of Sleep Medicine; • The DREAMS Artifacts Database: 20 excerpts of 15 minutes of PSG recordings annoted in artifacts (cardiac interference, slow ondulations, muscle artifacts, failing electrode, 50/60Hz main interference, saturations, abrupt transitions, EOG interferences and artifacts in EOG) by an expert; • The DREAMS Sleep Spindles Database: 8 excerpts of 30 minutes of central EEG channel (extracted from whole-night PSG recordings), annotated independently by two experts in sleep spindles; PLEASE NOTICE THAT EXPERT 1's SCORED SPINDLE COUNTS WERE CUT OFF AFTER 1000 SECONDS. THIS MAKES IT DIFFICULT TO USE COUNTS FOR COMPARISON. • The DREAMS K-complexes Database: 5 excerpts of 30 minutes of central EEG channel (extracted from whole-night PSG recordings), annotated independently by two experts in K-complexes; • The DREAMS REMs Database: 9 excerpts of 30 minutes of PSG recordings in which rapid eye movements were annotated by an expert; • The DREAMS PLMs Database: 10 whole-night PSG recordings coming from patients in which one of the two tibialis EMG was annoted in periodic limb movements by an expert; • The DREAMS Apnea Database: 12 whole-night PSG recordings coming from patients annoted in respiratory events (central, obstructive and mixed apnea and hypopnea) by an expert. We also developped and tested several automatic procedures to detect micro-events such as sleep spindles, K-complexes, REMS, etc. and provide the source codes for them in the DREAMS Assessment Algorithm package. (MORE INFORMATION ON EACH DBA CAN BE FOUND in pdf file in this repository) All our publications on this subject can be found in : https://www.researchgate.net/scientific-contributions/35338616_S_Devuyst
description: {"references": ["https://www.researchgate.net/scientific-contributions/35338616_S_Devuyst"]}
DOI: 10.5281/zenodo.3964574
title: Point Abbaye Stopover Habitat Monitoring Audio Files

description: Audio files from passive acoustic monitoring of bird migration stopover habitat. Files were created during a 2019 field season on the Point Abbaye peninsula in Baraga County, Michigan, USA. See 001README.txt for more details about the origin of audio files.
DOI: 10.5281/zenodo.2648393
title: Traffic forecasting with Virtual Induction Loops - SUMO simulation dataset

description: This repository is associated with my doctoral dissertation titled, "<strong>Smartphone based applications for Road Traffic Telematics</strong>". In particular this repository serves as the basis of Chapter 7 titled, "<strong>Traffic forecasting with Virtual Induction Loops (VIL)</strong>". The basic idea is to validate a traffic forecasting system which uses machine learning techniques on the simulation of real traffic flows on a real intersection in the City of Turin. This dataset contains simulation output from SUMO software for 56 real days between the months of October-2017 to April-2018. Details about these days are available in my thesis. For each day, 3 output files are available. Here is the description and naming convention:


	M1_100seed_100pr_dump.csv (This is the data dump file from SUMO. It contains flows of every single vehicle that was simulated. Naming convention is day_seed_vilPenetrationRate_dump.csv)
	M1_100seed_ilNorth_100pr.xml (This is the output from a simulated induction loop for Northbound traffic. Naming convention is day_seed_ilNorth_vilPenetrationRate.xml)
	M1_100seed_ilSouth_100pr.xml (This is the output from a simulated induction loop for Southbound traffic. Naming convention is day_seed_ilSouth_vilPenetrationRate.xml)


For further details, please refer to my thesis.
DOI: 10.5281/zenodo.4665795
title: Iron Deficiency Increased the Prevalence of Thyroid Nodules in Chinese Primary Aldosteronism Individuals

description: PA patients had a higher risk of thyroid nodules, which was possibly related to iron deficiency.
DOI: 10.15468/dl.yjv3qn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Procellaria leucomelas Temminck, 1836",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010925-241126133413365/datasets/export for details.
DOI: 10.5281/zenodo.4408783
title: Yannoulis Chalepas (Γιαννούλης Χαλεπάς), Sleeping Female Figure (Κοιμωμένη), 1878

description: <strong>Three-dimensional model of Sleeping Female Figure, by Yannoulis Chalepas.</strong> <em>Yannoulis Chalepas (</em><em>Γιαννούλης </em><em>Χαλεπάς), Sleeping Female Figure (</em><em>Κοιμωμένη), 1878, 77 x 178 x 76 cm<sup>3</sup>, 1st Cemetery of Athens.</em> This dataset contains a textured 3D model of the sculpture "Sleeping Female Figure", by Yannoulis Chalepas. The "Sleeping Female Figure" was created by Yannoulis Chalepas in marble for the grave of eighteen-year-old Sofia Afentaki in the 1st Cemetery of Athens. The 3D model is encoded as a mesh of 1831256 textured triangular faces and 3660969 vertices, stored in the Wavefront Technologies OBJ format. The texture is encoded in four 8192 x 8192 pixel<sup>2</sup> images. An MP4 video file that renders texture and non-textured visualizations of the model is also provided. Yannoulis Chalepas (Greek: Γιαννούλης Χαλεπάς, August 14, 1851 – September 15, 1938) was a Greek sculptor from the Island of Tinos, Greece, a significant figure of Modern Greek Art, and a practitioner of Tinian marble craftsmanship (Inscription 10.COM 10.b.17 in the UNESCO Representative List of the Intangible Cultural Heritage of Humanity, https://ich.unesco.org/en/RL/tinian-marble-craftsmanship-01103, https://ich.unesco.org/en/decisions/10.COM/10.B.17 ) For any questions please contact Xenophon Zabulis at zabulis@ics.forth.gr
DOI: 10.5281/zenodo.4591585
title: Dataset related to the article "Overall dietary variety and adherence to the Mediterranean diet show additive protective effects against coronary heart disease"

description: This record contains raw data related to the article: Overall dietary variety and adherence to the Mediterranean diet show additive protective effects against coronary heart disease <em>Background and aim:</em> Along with the increasing evidence of the cardioprotective effects of the Mediterranean Diet (MD), the scientific interest and advocacy of dietary variety as a potentially healthy eating habit gradually faded, until its complete oblivion in the latest European cardiovascular prevention guidelines. Our study aims to investigate whether dietary variety adds to the “Mediterranean-ness” of the diet in protecting against coronary heart disease (CHD). <em>Methods and results:</em> In this case-control Italian study, data on eating habits were collected from 178 patients with CHD and 155 healthy controls, primarily males, frequency matched for age and gender, using the Food Frequency Questionnaire (FFQ) of the European Prospective Investigation into Cancer and Nutrition. Adherence to MD was estimated from FFQ by the Mediterranean Diet Score (MDS), an index developed by Trichopoulou (2003) ranging from 0 to 9, with higher scores indicating a stricter adherence. Overall dietary variety was computed from FFQ as a count of single food items consumed at least once a month. Associations between MDS or overall dietary variety and coronary status were evaluated by logistic regression models adjusted for BMI, physical activity, smoking, education, and caloric intake; the Odds Ratio (OR) for a 1.5-point increase in MDS was 0.76 [IC 95% 0.59; 0.98], whereas the OR for a 15-item increase in dietary variety was 0.62 [IC 95% 0.46; 0.84]. Remarkably, adherence to MD and overall dietary variety were independently associated with a significantly reduced chance of CHD. <em>Conclusion</em>: Dietary Mediterranean-ness and overall dietary variety exhibit additive cardioprotective effects.
description: This work has been funded by "Ricerca Corrente" of Ministero della Salute, Italy
DOI: 10.5281/zenodo.6547952
title: BVOCs emission data

description: BVOCs emission data in different synoptic weather patterns
DOI: 10.5281/zenodo.3361856
title: The distribution data of sandhill crane in Asia during non-breeding period from our fieldwork

description: This data is the wintering distribution data of sandhill cranes collected by our research team in the fieldwork. The data has been used to publish an article in Peerj.
DOI: 10.5281/zenodo.6983535
title: Benchmark Datasets for Inductive Entity Alignment

description: This upload contains datasets for benchmarking inductive entity alignment approaches.
DOI: 10.5281/zenodo.4456700
title: Data associated with "Up and Down states during slow oscillations in slow wave sleep and different levels of anesthesia"

description: Data collection uploaded is associated with the publication "Up and Down states during slow oscillations in slow wave sleep and different levels of anesthesia" by the same authors in Frontiers in Systems Neuroscience 2021 DOI: 10.3389/fnsys.2021.609645 Raw recordings are in *.smr, readable with Spike 2 (Cambridge Electronics Design CED Downloads | Latest software
description: This work was also supported by the Spanish Ministry of Science and Innovation BFU2017-85048-R to MS-V. MT was funded by an FPI predoctoral fellowship from Spanish Ministry of Science and Innovation.
DOI: 10.5281/zenodo.5712792
title: FlexiGroBots - Blueberry orchard UAV dataset

description: FlexiGroBots - Blueberry orchard UAV dataset Acquisition date: 02.07.2021.<br> Location: Babe, Serbia Dataset consists of UAV drone images:<br> - 6 channels: reflectance blue, reflectance green, reflectance red, reflectance red edge, reflectance NIR, RGB. In order to align different channels, registration was applied and because of uneven illumination during the acquisition process, illumination correction was performed. Thus, the results of each preprocessing step are located in separate folders, i.e. raw data are in 100FPLAN and 101FPLAN, results of registration are in 100FPLAN_registrated and 101FPLAN_registrated, while images with corrected illumination are in 100FPLAN_registrated_corrected and 101FPLAN_registrated_corrected. Orthomosaics created before and after preprocessing are located in UAV orthomosaics folder.
DOI: 10.5281/zenodo.7447824
title: Electrophysiological characterization and functionality of neurons in murine cerebral organoids.

description: Dataset includes patch-clamp recordings aim to characterize functionality of neurons belonging to murine cerebral organoids. Patch-clamp recordings were performed by University of Modena and Reggio Emilia unit (PI Prof. Curia Giulia). Organoids were generated by University of Verona unit (PI Prof. Decimo Ilaria) and transferred to Modena for electrophysiology experiments.
description: {"references": ["Ciarpella F, Zamfir RG, Campanelli A, Ren E, Pedrotti G, Bottani E, Borioli A, Caron D, Di Chio M, Dolci S, Ahtiainen A, Malpeli G, Malerba G, Bardoni R, Fumagalli G, Hyttinen J, Bifari F, Palazzolo G, Panuccio G, Curia G, Decimo I. Murine cerebral organoids develop network of functional neurons and hippocampal brain region identity. iScience. 2021; 24(12):103438. doi: 10.1016/j.isci.2021.103438."]}
DOI: 10.5281/zenodo.3959512
title: Reference Dataset for Benchmarking Organ Doses Derived from Monte Carlo Simulations of CT Exams

description: This reference dataset contains CT scanner x-ray source characteristics, filtration profile, de-identified patient image data and size characteristics, voxelized patient models, exam characteristics, x-ray tube current data, and organ dose results in tabular form from Monte Carlo (MC) simulations of abdominal/pelvis CT exams of pregnant patients. This dataset can be used for benchmarking MC simulation codes for CT dosimetry.
description: {"references": ["Angel, Erin et al. \"Radiation Dose to the Fetus for Pregnant Patients Undergoing Multidetector CT Imaging: Monte Carlo Simulations Estimating Fetal Dose for a Range of Gestational Age and Patient Size\" Radiology, October 2008; 249:220-227"]}
DOI: 10.5281/zenodo.4384615
title: AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL rice simulations

description: This data set contains output data from simulations with the model LPJmL for rice as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above-ground biomass, plant day, maturity day, potential irrigation water withdrawal, actual growing season evapotranspiration . Simulations are based on 31-year simulations using the AgMERRA data set with 4 atmospheric CO2 mixing ratios (C=360, 510, 660, 810 ppm) uniform offsets for temperature (T= -1, 0, 1, 2, 3, 4, 6 K), water (W= -50, -30, -20, -10, 0, 10, 20, 30 %, and infinite/irrigated), and 3 nitrogen input levels (N= 10, 60, 200 kgN/ha) using 2 assumptions on adaptation (A= 'none', 'regain original growing season'). Version 2 of these files has been corrected with respect to the temporal sequence of results, which is not important if looking at 30-year averages as in Franke et al. 2020, but becomes relevant if looking at individual years.
description: {"references": ["Franke JA, M\u00fcller C, Elliott J, Ruane AC, J\u00e4germeyr J, Snyder A, Dury M, Falloon PD, Folberth C, Fran\u00e7ois L, Hank T, Izaurralde RC, Jacquemin I, Jones C, Li M, Liu W, Olin S, Phillips M, Pugh TAM, Reddy A, Williams K, Wang Z, Zabel F, and Moyer EJ. 2020, The GGCMI Phase 2 emulators: global gridded crop model responses to changes in CO2, temperature, water, and nitrogen (version 1.0), Geosci. Model Dev., 13, 3995-4018, doi: 10.5194/gmd-13-3995-2020", "Franke JA, M\u00fcller C, Elliott J, Ruane AC, J\u00e4germeyr J, Balkovic J, Ciais P, Dury M, Falloon PD, Folberth C, Fran\u00e7ois L, Hank T, Hoffmann M, Izaurralde RC, Jacquemin I, Jones C, Khabarov N, Koch M, Li M, Liu W, Olin S, Phillips M, Pugh TAM, Reddy A, Wang X, Williams K, Zabel F, and Moyer EJ. 2020, The GGCMI Phase 2 experiment: global gridded crop model simulations under uniform changes in CO2, temperature, water, and nitrogen levels (protocol version 1.0), Geosci. Model Dev., 13, 2315-2336, doi: 10.5194/gmd-13-2315-2020"]}
DOI: 10.5281/zenodo.4646467
title: ValLAI_Crop: Validation dataset for coarse-resolution satellite LAI product over Chinese Cropland

description: Numerous validation campaigns have been conducted over the last decade to assess the accuracy of the global leaf area index (LAI) products. Accurate and comprehensive validations for coarse-resolution LAI products are still very difficult due to lack of enough high-quality field measurements. Here we developed a fine resolution LAI dataset, consisting of 80 sample plots with an area of 3 km × 3 km in four major agricultural regions in China collected from 2003 to 2017. Instead of the indirect optical measurement method employed in most validation campaigns, the direct destructive method was employed to measure LAI of cropland for all the field experiments to avoid the measurement uncertainties, especially for crops at early growth stages with low height. Fine resolution reference LAI maps were derived from Landsat-5 TM and Landsat-8 OLI surface reflectance products based on the semi-empirical inversion model, which were calibrated using field measurements for each growth stage with an RMSE ranging from 0.22 to 0.95, and a relative root mean square error (RRMSE) ranging from 7.58% to 44.42%. Then, 80 sample plots with an area of 3 km × 3 km were selected as the fine resolution validation dataset from the fine resolution reference LAI maps with a proportion of cropland larger than 75% and one or more in-situ samples were contained in each 3 km × 3 km reference map.
DOI: 10.5281/zenodo.3266179
title: Brugada ECG Database

description: ECG measurements of a cohort of 119 Brugada syndrome patients Disclaimer: These datasets were generated during the course of academic research conducted at the Faculty of Medicine, The Chinese University of Hong Kong, which received ethics approval by The Joint Chinese University of Hong Kong – New Territories East Cluster Clinical Research Ethics Committee of the Hospital Authority. They have been anonymised and are deposited for further advancement of medical research in full compliance with University Regulations and Policy on Dataset Deposit and Sharing. For additional information: https://libguides.lib.cuhk.edu.hk/RDM/dataset_deposit Access is permitted for research purposes only. The use of these datasets should provide acknowledgements of such efforts by citing this DOI.
description: Disclaimer: These datasets were generated during the course of academic research conducted at the Faculty of Medicine, The Chinese University of Hong Kong, which received ethics approval by The Joint Chinese University of Hong Kong – New Territories East Cluster Clinical Research Ethics Committee and/or the Institutional Review Board of the University of Hong Kong/Hospital Authority Hong Kong West Cluster of the Hospital Authority. They are published for further advancement of medical research in full compliance with University Regulations and Policy on Dataset Deposit and Sharing. For additional information: https://libguides.lib.cuhk.edu.hk/RDM/dataset_deposit The use of these datasets should provide acknowledgements of such efforts by citing this DOI.
DOI: 10.5281/zenodo.5011215
title: Multilingual Knowledge Graph Completion With Joint Relation and Entity Alignment

description: Code and data accompanying AlignKGC.
DOI: 10.5281/zenodo.4449681
title: Synthetic Patient Appointment Dataset

description: A synthetic dataset of patient appointments, referrals, and journeys to a fictional service in the North East of England. The code can be adjusted to incorporate any area on mainland Great Britain. NI or the islands can be integrated too, however the structure of postcode, GP and OSA public data is different, and data input handlers will need to be adjusted. The behaviour of the patients (visiting their nearby GP followed by attending a specialist clinic), appointments (clinic appointments within 7day-6weeks of the referral (gp appointment)), and facilities (one major facility taking the load, along with minor facilities) is meant to mirror the real data used under Pilot 2 of the Track & Know Project. Real postcodes, from Royal Mail, are used to generate the appointment population, real facilities are used based on the British Lung Foundations study of Obstructive Sleep Apnoea, and real GP's are used based on public data from the NHS.
description: All data is randomly generated and changes with every run of the generation code. Any resemblance to actual events or locales or persons, living or dead, is entirely coincidental. This is synthetic artificial data meant for research and tool validation purposes. It cannot and should not be used to make business decisions.
DOI: 10.5281/zenodo.3813457
title: The relationship between the leadership of business organizations to manage conflicts within their organizations and with other entities

description: Descripition of the dataset: The questionnaire was made to the leaders of the companies was made in July 2019, consisting of 10 questions where the subject under study is addressed. <br> The questionnaire was personally conducted to 390 leaders of Madrid, consisting of 10 questions ranging from demographic variables, leadership style in conflict management and methods used for conflict resolution.<br> The database has been subsequently anonymised, so that each respondent cannot be identified. Dataset relations: Paper: What are the determinants in conflict management and leadership employed? An analysis of the determinants for the Spanish case Abstract:The purpose of this study is to examine the relationship between the leadership of business organizations to manage conflicts within their organizations and with other entities. <br> For this reason, an exhaustive review of the literature on leadership decision-making and conflict management has been carried out, focusing on sociodemographic variables that have the greatest influence. <br> In addition, a study of conflict management has been carried out in the community of Madrid. The purpose of the study was to identify the most decisive sociodemographic variables that explain how leaders manage conflicts in the most important business nucleus in Spain. <br> The statistical study was based on information collected on demographic variables and leadership styles in conflict management through a survey carried out in July 2019 of 394 leaders of Madrid organizations.
DOI: 10.5281/zenodo.4001629
title: Raw data of Call et al. (2020), Journal of Cereal Science 93: 102974

description: Raw data for the publication "Effects of species and breeding on wheat protein composition" by Call et al. (2020), published in Journal of Cereal Science 93: 102974. ( https://doi.org/10.1016/j.jcs.2020.102974 )
description: The research was funded by FFG (Austrian Research Promotion Agency), project ID-WHEAT (FFG project no. 858540).
DOI: 10.5281/zenodo.4735211
title: Incidence of pathogenic fungi on rice pests - Paper datasets

description: These are the datasets of the paper "Incidence of pathogenic fungi on Pentatomidae pests of Argentinian paddies: a taxonomic and ecological approach" by the same authors.
DOI: 10.1594/pangaea.859523
title: Current measurements at ADCP station ADCP_20140822, part 2
DOI: 10.5281/zenodo.4081381
title: An Improved Global Catalog LU1319381 of Lunar Craters (≥1 km) with 3D Morphological Information

description: A global crater catalog that includes approximately 1.32 million lunar craters with diameters ≥ 1 km, and is enriched with 3D morphological information on the craters.
DOI: 10.5281/zenodo.3477633
title: Shenzhen address corpus (part)

description: Data for our paper <strong>Lin, Y., Kang, M., Wu, Y., Du, Q. and Liu, T. (2019) A deep learning architecture for semantic address matching, <em>International Journal of Geographical Information Science</em>, DOI: 10.1080/13658816.2019.1681431</strong> The first 498,294 records of the corpus derived from the Shenzhen Address Database, which are part of the training samples for word2vec to obtain the vector representations of address elements.
DOI: 10.1594/pangaea.859526
title: Current measurements at ADCP station ADCP_20150828, part 2