cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3873204
title: Herbaceous plants pollen dataset from automatic particle detector in Šiauliai

description: Dataset acquired from Rapid-E device by testing it with anemophilous herbaceous plant pollen collected in Lithuania. Data is sorted by pollen type. The sampling methodology can be found in publication "Automatic pollen recognition with the Rapid-E particle counter: the first-level procedure, experience and next steps", Sauliene Ingrida, et al. Atmospheric Measurement Techniques, 2019, 12.6: 3435-3452. https://doi.org/10.5194/amt-12-3435-2019 Please inform the authors at realtime@su.lt if you use this dataset.
description: This research has been supported by the European Social Fund (project no. 09.3.3-LMT-K-712-01-0066) under grant agreement with the Research Council of Lithuania (LMTLT).
DOI: 10.5281/zenodo.3873205
title: Woody plants pollen dataset from automatic particle detector in Šiauliai

description: Dataset acquired from Rapid-E device by testing it with anemophilous woody plants pollen collected in Lithuania. Data is sorted by pollen type. The sampling methodology can be found in publication "Automatic pollen recognition with the Rapid-E particle counter: the first-level procedure, experience and next steps", Šaulienė Ingrida, et al. Atmospheric Measurement Techniques, 2019, 12.6: 3435-3452. https://doi.org/10.5194/amt-12-3435-2019 <br> Please inform the authors at realtime@su.lt if you use this dataset.
description: This research has been supported by the European Social Fund (project no. 09.3.3-LMT-K-712-01-0066) under grant agreement with the Research Council of Lithuania (LMTLT).
DOI: 10.1285/i20380313v28p301
title: Note di Storia e Cultura Salentina, Miscellanea di studi "Mons. Grazio Gianfreda", XXVIII, 2018, pp. 312.
DOI: 10.5281/zenodo.3874386
title: Experimental and Simulation Results of "3D Printed Biomodels for Flow Visualization in Stenotic Vessels: An Experimental and Numerical Study" - version 2

description: This repository contains the experimental and simulation results of the article "3D Printed Biomodels for Flow Visualization in Stenotic Vessels: An Experimental and Numerical Study" by Carvalho, V., Rodrigues, N., Ribeiro, R., Costa, P., Lima, R., Teixeira, S., published in <em>Micromachines</em> <strong>11, 6</strong> (2020). https://doi.org/10.3390/mi11060549
description: This work was supported by FCT—Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020, UIDB/04077/2020, and NORTE-01-0145-FEDER-030171, funded by COMPETE2020, NORTE 2020, PORTUGAL 2020, and FEDER. This project received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 798014. This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 828835.
DOI: 10.1285/i20380313v28p304
title: Liceo Scientifico "G. Banzi Bazoli" Lecce, «Scuola e Ricerca», V N.S., 2019, pp. 168.
DOI: 10.1285/i20380313v28p308
title: Lutero in Terra d'Otranto nel 5° Centenario dell'affissione delle 95 tesi sul portone della chiesa di Wittenberg, «L'Idomeneo» n. 24-2017, Atti del Convegno di Studi (Lecce 25-26 ottobre 2017), Lecce, Università del Salento Coordinamento SIBA, pp. 306.
DOI: 10.1285/i20380313v28p313
title: Ernesto BASSIGNANO, Canzoni Pennelli Bandiere Supplì, Bari, Les Flaneurs, 2017, pp. 223.
DOI: 10.1285/i20380313v28p316
title: Carlo STASI, "Sono nato cantando… tra due mari". Radici e canto nella poetica di Franco Simone cantautore salentino, prefazione di Eraldo Martucci, Sannicola, "I Quaderni del Bardo edizioni", 2016, pp. 70.
DOI: 10.1285/i20380313v28p320
title: Colophon
DOI: 10.15129/475d0933-180f-45dc-8d32-a136ab52ef07
title: Data for: "132 kV optical voltage sensor for wide area monitoring, protection and control applications"

description: The files in this dataset were created by testing novel optically-interrogated high voltage (HV) voltage sensor against the requirements of IEC-61869-11 and IEC-61869-7 (replacing the old IEC-60044-7). The results were obtained by applying the standard accuracy type tests to the sensor.
DOI: 10.21227/8am8-wy76
title: Pandemic Equation for Describing and Predicting COVID19 Evolution

description: Purpose is to describe the dynamics of the COVID19 pandemics accounting for the mitigation measures, for the introduction or removal of the quarantine, and for the effect of vaccination when and if introduced. Methods include the derivation of the Pandemic Equation describing the mitigation measures via the evolution of the growth time constant in the Pandemic Equation resulting in an asymmetric pandemic curve with a steeper rise than a decrease. Results: The Pandemic equation predicts how the quarantine removal and business opening lead to a spike in the pandemic curve. The effective vaccination reduces the new daily infections predicted by the Pandemic equation to nearly zero. The pandemic curves in many localities have similar time dependencies but shifted in time. The Pandemic Equation parameters extracted from the well advanced pandemic curves can be used for predicting the pandemic evolution in the localities, where the pandemics is still in the initial stages. Conclusion: Using the multiple pandemic locations for the parameter extraction allows for the uncertainty quantification in predicting the pandemic evolution using the introduced Pandemic Equation..
DOI: 10.21227/b7gf-7k71
title: Pandemic Equation for Describing and Predicting COVID19 Evolution

description: Purpose is to describe the dynamics of the COVID19 pandemics accounting for the mitigation measures, for the introduction or removal of the quarantine, and for the effect of vaccination when and if introduced. Methods include the derivation of the Pandemic Equation describing the mitigation measures via the evolution of the growth time constant in the Pandemic Equation resulting in an asymmetric pandemic curve with a steeper rise than a decrease. Results: The Pandemic equation predicts how the quarantine removal and business opening lead to a spike in the pandemic curve. The effective vaccination reduces the new daily infections predicted by the Pandemic equation to nearly zero. The pandemic curves in many localities have similar time dependencies but shifted in time. The Pandemic Equation parameters extracted from the well advanced pandemic curves can be used for predicting the pandemic evolution in the localities, where the pandemics is still in the initial stages. Conclusion: Using the multiple pandemic locations for the parameter extraction allows for the uncertainty quantification in predicting the pandemic evolution using the introduced Pandemic Equation..
DOI: 10.5281/zenodo.3874987
title: Wildflower composition of DLR pollinator sites 2019

description: Species list and releve data representing wildflower composition of 17 pollinator sites in the Dun Laoghaire-Rathdown county council municipal area of Dublin, Ireland, collated in May/June 2019 as part of Stephen Mulkearn's undergraduate Bachelor of Science in Environmental Biology thesis, supervised by Tamara Hochstrasser Phd.
DOI: 10.5281/zenodo.3874988
title: Wildflower composition of DLR pollinator sites 2019

description: Species list and releve data representing wildflower composition of 17 pollinator sites in the Dun Laoghaire-Rathdown county council municipal area of Dublin, Ireland, collated in May/June 2019 as part of Stephen Mulkearn's undergraduate Bachelor of Science in Environmental Biology thesis, supervised by Tamara Hochstrasser Phd.
DOI: 10.5281/zenodo.3874645
title: Linked COVID-19 Data: Johns Hopkins University (JHU) and European Centre for Disease Prevention and Control (ECDC)

description: Linked COVID-19 Data derived from <strong>Johns Hopkins University</strong> and <strong>European Centre for Disease Prevention and Control</strong> using the COVID-19 Ontology 10.5281/zenodo.3757828 developed for the Linked COVID-19 Data Dashboard: http://covid19data.link This files include data for covid19_jhu.ttl - COVID-19 data collected by the JHU covid19_ecdc.ttl - COVID-19 data collected by the ECDC This RDF files are based on https://pomber.github.io/covid19/timeseries.json https://opendata.ecdc.europa.eu/covid19/casedistribution/json/
DOI: 10.5281/zenodo.3874648
title: Linked COVID-19 Data: Robert Koch-Institut (RKI)

description: Linked COVID-19 Data derived from <strong>Robert Koch Institute</strong> using the COVID-19 Ontology 10.5281/zenodo.3757828 developed for the Linked COVID-19 Data Dashboard: http://covid19data.link This files include data for covid19_rki*.ttl - single COVID-19 cases per day, collected by the RKI https://www.arcgis.com/home/item.html?id=dd4580c810204019a7b8eb3e0b329dd6 "confirmed" is calcaulated by the column "Refdatum" covid19_rki_ger.ttl - COVID-19 cases per day for Germany, collected by the RKI covid19_rki_ger_cum.ttl - COVID-19 cases accumulated per day for Germany, collected by the RKI covid19_rki_fs.ttl - COVID-19 cases per day for the federal states in Germany, collected by the RKI covid19_rki_fs_cum.ttl - COVID-19 cases accumulated per day for the federal states in Germany, collected by the RKI This RDF files are based on the NPGEO Corona Hub 2020 https://opendata.arcgis.com/datasets/dd4580c810204019a7b8eb3e0b329dd6_0.geojson https://npgeo-corona-npgeo-de.hub.arcgis.com/datasets/dd4580c810204019a7b8eb3e0b329dd6_0/data
DOI: 10.5281/zenodo.3837111
title: Raw data for "Examining the effects of transcranial direct current stimulation on human episodic memory with machine learning"

description: This is the raw dataset for "Examining the effects of transcranial direct current stimulation on human episodic memory with machine learning". Each .xlsx file represents an experimental results of a single participant. Directory description: Eng_sham - the results from experiments without stimulation on English sample from Medvedeva, 2019. Eng_vlPFC - the results from experiments with vLPFC stimulation on English sample from Medvedeva, 2019. enc_off_new - the results from experiments with dLPFC offline encoding stimulation on Russian sample. enc_on_new - the results from experiments with dLPFC online encoding stimulation on Russian sample. sham_no stimulation - the results from experiments without stimulation offline encoding stimulation on Russian sample. vlPFC_stimulation - the results from experiments with vLPFC stimulation on Russian sample.
DOI: 10.5281/zenodo.3874557
title: POLYMOD social contact data

description: This is the POLYMOD study data.
description: {"references": ["Mossong J, Hens N, Jit M, Beutels P, Auranen K, et al. (2008) Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases. PLOS Medicine 5(3): e74. https://doi.org/10.1371/journal.pmed.0050074"]}
DOI: 10.18112/openneuro.ds002877.v1.0.0
title: Creative desicion making in soccer
DOI: 10.5281/zenodo.3874653
title: Social contact data for Russia

description: Social contact data for Russia. Dataset prepared by Thang Hoang (University of Hasselt); original dataset available at this link.
DOI: 10.21227/6xzh-2j32
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains the IDs of geo-tagged tweets. The tweets were captured by an on-going project deployed at https://live.rlamsal.com.np. The geolocation data was extracted from the tweets which mentioned anything about "corona", "covid-19", "coronavirus" or the variants of "sars-cov-2". Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location. Please note that this dataset should be solely used for non-commercial research purposes (ignore every other LICENSE category given on this page).Note: I started sharing the IDs of the tweets that contained the exact location information, only since April 28, 2020, with some genuine requests coming in from academic researchers who did not want to hydrate the whole lists of IDs (above 150+ million tweets) shared in the Coronavirus (COVID-19) Tweets Dataset.If you need the geolocation-based data starting March 20, 2020, then use the Coronavirus (COVID-19) Tweets Dataset and hydrate the IDs while adding the following condition:data = json.loads(data)if data["coordinates"]: longitude, latitude = data["coordinates"]["coordinates"]The data is available in two formats: CSV and JSON. I'll be sharing new files every day, and the files will be named period-wise. For example, april28-april29.* will contain tweet ID and sentiment data of the tweets that were tweeted between April 28, 2020, and April 29, 2020.Why are only tweet IDs being shared? It is Twitter's content redistribution policy that restricts the sharing of tweet information other than tweet IDs and/or user IDs. Twitter wants researchers to always pull fresh data using their API. Why? Here's my opinion. Maybe, some user might want to delete a particular tweet after a couple of minute(s)/hour(s)/day(s), and if the same tweet has already been pulled and is shared on a public domain, then it might make the user/community vulnerable to many inferences coming out of the shared data.
DOI: 10.5281/zenodo.3874666
title: Replication package for: Shocking Racial Attitudes: Black G.I.s in Europe

description: David Schindler & Mark Westcott (2020): Shocking Racial Attitudes, Black G.I.s in Europe. This replication package contains data and routines to replicate all findings of manuscript and online appendix.
DOI: 10.3886/e119644v2
title: Assessing the Roles and Challenges of Librarians in Dental Systematic and Scoping Reviews

description: This study will determine the scope of experience, roles, and challenges librarians face in dental and oral health systematic and scoping reviews. The study aims to establish the current level of librarian involvement with reviews in this environment. The data obtained will inform outreach efforts to subject researchers as well as identify areas for librarians’ professional development. Based on two recently published articles about health science librarian roles and challenges in systematic and scoping reviews, the authors developed a 16-item survey. The survey was distributed via electronic mailing list to librarians who were likely to have participated in conducting these reviews. After being open for two weeks, the survey was closed and descriptive analysis was performed on the results.<br>
description: Response Rates: The total number of dental librarians who have participated in systematic and scoping reviews is unknown, therefore the response rate is unknown<br>
description: Information professionals who conduct systematic or scoping reviews in dentistry and/or oral health<br>.
description: Individuals who were likely to have conducted systematic and scoping reviews were contacted via electronic mailing lists: MEDLIB-L, two caucuses of the Medical Library Association (i.e. Dental, Systematic Reviews), the Canada Health Libraries Association Oral Health Interest Group, the American Dental Education Association Evidence Based Dentistry Special Interest Group, and the ExpertSearching electronic mailing list<br>
DOI: 10.5281/zenodo.3871590
title: LIPID17 POPC-POPG 50:50 MD simulation, Na+ counterions and 100mM CaCl2, 298K

description: The last 198ns of a 718ns MD simulation trajectory with Amber lipid 17 force field. POPC-POPG 50:50 (150 POPC, 150 POPG) with Na+ counterions and 100mM CaCl2. The starting structure and lipid 17 parameters from here: https://zenodo.org/record/2585523#.Xbf0FC17FBx The starting structure was generated by removing appropriate number of POPC lipids to get 50:50 ratio. Dihedral types are corrected to type 9 as discussed here: https://github.com/NMRLipids/NMRlipidsIVPEandPG/issues/12.
DOI: 10.5281/zenodo.3874674
title: Social contact data for Russia

description: Social contact data for Russia. Dataset prepared by Thang Hoang (University of Hasselt); original dataset available at this link.
DOI: 10.5281/zenodo.3874949
title: HeLa cell images with four labels (nuclear envelope, nucleus, rest of the cell, and background) for deep learning architecture training.

description: This is a data set that contains <strong>labeled HeLa cell images</strong>, generated in MATLAB® Image Labeler, indicating the four different classes - nuclear envelope, nucleus, rest of the cell, and background for <strong>deep learning</strong> architecture training. Details of the imaging and preparation have been published in: Cefa Karabağ, Martin L. Jones, Christopher J. Peddie, Anne E. Weston, Lucy M. Collinson, Constantino Carlos Reyes-Aldasoro. Segmentation and Modelling of the Nuclear Envelope of HeLa Cells Imaged with Serial Block Face Scanning Electron Microscopy. <em>J. Imaging</em> 2019, <em>5</em>(9), 75; https://doi.org/10.3390/jimaging5090075 and The data sets are freely available through EMPIAR: http://dx.doi.org/10.6019/EMPIAR-10094 EMPIAR. Details on the segmentation and analysis of HeLa cells have been published in: Cefa Karabağ, Martin L. Jones, Christopher J. Peddie, Anne E. Weston, Lucy M. Collinson, Constantino Carlos Reyes-Aldasoro. Semantic Segmentation of HeLa Cells: An Objective Comparison between one Traditional Algorithm and Three Deep-Learning Architectures, BioRxiv, https://doi.org/10.1101/2020.03.05.978478 and Cefa Karabağ, Martin L. Jones, Christopher J. Peddie, Anne E. Weston, Lucy M. Collinson, Constantino Carlos Reyes-Aldasoro. Segmentation and Modelling of the Nuclear Envelope of HeLa Cells Imaged with Serial Block Face Scanning Electron Microscopy. <em>J. Imaging</em> 2019, <em>5</em>(9), 75; https://doi.org/10.3390/jimaging5090075
DOI: 10.5258/soton/d1396
title: Dataset for Computed Tomography (CT) Scanning to Quantify the Movement of Moisture in Soils under Thermal Gradients'

description: This dataset supports the thesis by Kui Liu entitled 'Computed Tomography (CT) Scanning to Quantify the Movement of Moisture in Soils under Thermal Gradients', awarded by University of Southampton, 2020
DOI: 10.25345/c5wd94
title: MassIVE MSV000085542 - NRPS X-Link (Alb02) from Albicidin
title: Bottom-up proteomics (trypsin DDA Top5) of crosslinked ALb02 and NRPS T-domains.
DOI: 10.5281/zenodo.3874418
title: M4DB Sample Data Set

description: A sample data set for the MicroMagnetic-Metadata DataBase (M4DB).
DOI: 10.17632/n8y62yvycr.1
title: Supplementary Material, Appendix B

description: Supplementary Material, Appendix B. Objectively measured sedentary time and physical activity levels are associated with neck adipose tissue volume in young, sedentary adults
DOI: 10.5281/zenodo.3866637
title: Evaluating the effects of parallax in archaeological geometric morphometric analyses

description: Geometric morphometric dataset for Epipalaeolithic microliths. These files include the data used in the publication <em>Evaluating the effects of parallax in archaeological geometric morphometric analyses, </em>submitted to Archaeological and Anthropological Sciences, as well as the image files.
DOI: 10.5281/zenodo.3866638
title: Evaluating the effects of parallax in archaeological geometric morphometric analyses

description: Geometric morphometric dataset for Epipalaeolithic microliths. These files include the data used in the publication <em>Evaluating the effects of parallax in archaeological geometric morphometric analyses, </em>submitted to Archaeological and Anthropological Sciences, as well as the image files.
DOI: 10.6084/m9.figshare.12361049.v1
title: Supplementary Table 1.xlsx

description: Analysis of experimentally validated target gene of hsa-miR-155-5p
DOI: 10.17632/dpnd3tzhvr.1
title: Video of the dynamic network of the EU-funded LIFE-ENV programme (2007-2017) and its priority area Environment and Resource Efficiency
DOI: 10.17632/n8y62yvycr.2
title: Supplementary Material, Appendix B

description: Supplementary Material, Appendix B. Objectively measured sedentary time and physical activity levels are associated with neck adipose tissue volume in young, sedentary adults
DOI: 10.17632/xvtr2js834.2
title: Detection of formation boundary using transient multicomponent electromagnetic logging while drilling method

description: The present dataset includes data and figures relative to the submitted paper " Detection of formation boundary using transient multicomponent electromagnetic logging while drilling method " currently under review in Journal of Petroleum Science and Engineering.
DOI: 10.17632/7x6kzygpy8.3
title: Mental practice is associated with learning the relative, but not absolute, timing dimension of a task

description: Learning about the relative timing dimension of a motor skill is enhanced by factors that promotes higher response stability between trials. Conversely, learning the absolute timing dimension is favored by lower trial-to-trial stability. Mental practice may increase response stability during acquisition, since there is low possibility of adjustments made between trials. Thus, the aim of this study was to the hypothesis that some factors that increase response stability during acquisition phase contributes to an enhanced relative timing dimension learning. Our hypothesis was that mental practice is strongly and positively associated with learning the relative timing dimension. A sequential key-pressing task was practiced with two goals: learn (1) relative timing dimension and (2) absolute timing dimension. Participants were assigned to one of three groups: Physical, Mental or No practice. The Physical group showed greater learning of both dimensions, than the other two groups. The Mental group showed greater learning of relative timing dimension than the No practice group. The results suggest that mental practice produces increased stability, which in turn promotes learning of the relative timing dimension.
DOI: 10.17632/7x6kzygpy8.4
title: Mental practice is associated with learning the relative, but not absolute, timing dimension of a task

description: Learning about the relative timing dimension of a motor skill is enhanced by factors that promotes higher response stability between trials. Conversely, learning the absolute timing dimension is favored by lower trial-to-trial stability. Mental practice may increase response stability during acquisition, since there is low possibility of adjustments made between trials. Thus, the aim of this study was to the hypothesis that some factors that increase response stability during acquisition phase contributes to an enhanced relative timing dimension learning. Our hypothesis was that mental practice is strongly and positively associated with learning the relative timing dimension. A sequential key-pressing task was practiced with two goals: learn (1) relative timing dimension and (2) absolute timing dimension. Participants were assigned to one of three groups: Physical, Mental or No practice. The Physical group showed greater learning of both dimensions, than the other two groups. The Mental group showed greater learning of relative timing dimension than the No practice group. The results suggest that mental practice produces increased stability, which in turn promotes learning of the relative timing dimension.