cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/gwhtjvfnw7.4
title: Dataset for studing the relationship between gastronomy and internationalization

description: The dataset contains raw data from 154 foreign tourists visiting the city of Seville. The data were collected by means of a structured questionnaire in December 2017. Related research article: Juan Manuel Berbel-Pineda, Beatriz Palacios-Florencio, Luna Santos-Roldán, and José M. Ramírez Hurtado, Relation of Country-of-Origin Effect, Culture, and Type of Product with the Consumer’s Shopping Intention: An Analysis for Small- and Medium-Sized Enterprises, Complexity. Article ID 8571530 (2018). https://doi.org/10.1155/2018/8571530
DOI: 10.17632/j3cy26nn8s.2
title: Data and code for "A kinetic model of continuous radiation damage to populations of cells: Comparison to the LQ model and application to molecular radiotherapy"

description: Replication data for our study "A kinetic model of continuous radiation damage to populations of cells: Comparison to the LQ model and application to molecular radiotherapy".
DOI: 10.17632/s42y6pzjjk.1
title: Cost of resources in cloud with reserved, spot and on-demand instances

description: 1. Plots for demand data Sandia Ross 2. All Results for i) without using spot ii) using spot (normal prices) and iii) using spot (prices 4 times normal)
DOI: 10.17632/s8xj73wtgw.1
title: Data on the psychological perception of people towards Covid-19 pandemic

description: Data on the psychological perception of people towards Covid-19 pandemic
DOI: 10.5523/bris.3fb2ydne4072k2rz6uhtyqo1gj
title: Data from plasma diagnosis (05-2020)

description: Experimental diagnosis and modelling of Si/H and Si/C/H plasmas used in the chemical vapour deposition of Si doped thin film diamond
DOI: 10.17632/3h2rpf6fp3.1
title: Skripsi SLR

description: Paper skripsi yang berisi selected studies dalam SLR
DOI: 10.5281/zenodo.3866188
title: Covid-19 Seafood Impacts

description: Reported impacts and responses on the seafood sector were compiled from April 3 to May 30, 2020, which includes (n = 175) articles published from January 28 to May 27, 2020. News articles were collected by monitoring Google News alerts for ("seafood" OR "fish") AND ("coronavirus" OR "covid"), daily data scraping of Twitter posts for "seafood" and "coronavirus" OR "covid," website searches of primary seafood industry news outlets (e.g., SeafoodSource,Undercurrent, and IntraFish), and compiling information shared through the authors’ professional networks. All news articles containing information about an impact on or response to the COVID-19 pandemic relating to any stage of the seafood supply chain were considered relevant. For each article, we extracted information the: article title, article date, article link, date of the impact, the type of impact, and the countries, sector(s), supply chain stage(s), species, and product form(s) involved, as well as whether the production is recreational, small-scale, and/or industrial.
DOI: 10.5281/zenodo.3866189
title: Covid-19 Seafood Impacts

description: Reported impacts and responses on the seafood sector were compiled from April 3 to May 30, 2020, which includes (n = 175) articles published from January 28 to May 27, 2020. News articles were collected by monitoring Google News alerts for ("seafood" OR "fish") AND ("coronavirus" OR "covid"), daily data scraping of Twitter posts for "seafood" and "coronavirus" OR "covid," website searches of primary seafood industry news outlets (e.g., SeafoodSource,Undercurrent, and IntraFish), and compiling information shared through the authors’ professional networks. All news articles containing information about an impact on or response to the COVID-19 pandemic relating to any stage of the seafood supply chain were considered relevant. For each article, we extracted information the: article title, article date, article link, date of the impact, the type of impact, and the countries, sector(s), supply chain stage(s), species, and product form(s) involved, as well as whether the production is recreational, small-scale, and/or industrial.
DOI: 10.17034/c10c246c-95ab-424f-b0b1-1f9db2ce4d3e
title: Research Data from the Petechiae in Children study

description: Data pertaining to the validation of clinical practice guidelines for the management of fever and non-blanching rashes in children.
DOI: 10.25573/serc.12067428.v1
title: Deer Exclosure Study - Grassland - 2017 resampling

description: This study took place at the Konza Prairie Biological Station (hereafter Konza), a Long-Term Ecological Research (LTER) site located in the tallgrass prairie ecosystem of the Flint Hills in northeastern Kansas, USA. Konza is divided into many replicate watersheds, where there have been prescribed fires at set frequencies (i.e., burn regimes) since 1971 (Knapp et al. 1998). We conducted this experiment in the uplands of watersheds K1B, 4B, and K4A, which are accessible to deer, as well as invertebrate and small mammalian herbivores. Watershed K1B has been burned annually since 1988. Watersheds 4B and K4A have been burned every four years since 1975 and 1985, respectively. All three watersheds (K1B, 4B, and K4A) were burned in spring 2017, prior to the sampling for this experiment in summer 2017.<br> One 30 m x 30 m deer exclosure fence was established in the uplands of each watershed in 1996; here, we denote each fenced area and an equally sized area adjacent to each fence as ‘plots' (6 plots total). Fences consist of 2.2 m tall wooden posts connected with strands of barbed wire spaced 0.25 m apart (Bakker et al. 2009). Prior to the erection of the fences, vegetation across the plots was relatively homogenous (Knapp et al. 1998). Plant species richness was assessed as the total number of distinct species in each 30 m x 30 m plot. We also assessed percent cover of all plant species using a modified Daubenmire method (Daubenmire 1968) to the nearest 1 % within six haphazardly placed 1 m<sup>2</sup> subplots within each plot (36 subplots total). Data provided here are percent cover estimates for species within 1 m<sup>2</sup> plots inside and outside deer removal exclosures located within three watersheds at Konza. Where plot is recorded as 999, the species was identified within the plot, but not within the six subplots.<br>Data Structure:(1) watershed - Konza watershed unit within which sampling occurred;(2) exclosure - was the data collected inside or outside of the deer exclosure; inside indicates deer do not have access to the plot;(3) plot - replicate 1 m2 plot the species were observed in;(4) sppnum - numeric code given to plant species at Konza;(5) genus - genus of the identified species;(6) spp - species of the identified species;(7) functional_group - growth form the identified species belongs to (graminoid, forb, woody);(8) cover - percent cover of species within 1m2 plot;(9) year - year in which sampling occurred;(10) date - date on which sampling occured;(11) comper - who collected the data.
DOI: 10.21227/2m35-f669
title: Topics modeling in computer science articles

description: By querying open data of notorious scientific databases via representational state transfers, and subsequently enforcing data management practices with a dynamic topic modeling approach on the referred metadata available, this work achieves a feasible form of article set analysis and classification. Research trends for a given field in specific moments are identified, and also the referred trends evolution throughout the years. It is then possible to detect the associated lexical variation overtime on published content, ultimately determining the so-called hot topics in arbitrary instants, including now. Three prominent scientific articles databases are probed by this work, they are arXiv, IEEExplore, and Springer Nature.The dataset contains:Identification of the articles used in the studyThe proportion of the topics in each documentNumber of articles per year per topicDistribution of the words that make up each topic
DOI: 10.5281/zenodo.3871481
title: Supplementary materials for Perl et al 2019

description: Supplementary dataset for Perl et al, 2019, "Human non-olfactory cognition phase-locked with inhalation", published in Nature Human Behavior
DOI: 10.5281/zenodo.3871482
title: Supplementary materials for Perl et al 2019

description: Supplementary dataset for Perl et al, 2019, "Human non-olfactory cognition phase-locked with inhalation", published in Nature Human Behavior
DOI: 10.21227/78tf-n349
title: Topics modeling in computer science articles

description: By querying open data of notorious scientific databases via representational state transfers, and subsequently enforcing data management practices with a dynamic topic modeling approach on the referred metadata available, this work achieves a feasible form of article set analysis and classification. Research trends for a given field in specific moments are identified, and also the referred trends evolution throughout the years. It is then possible to detect the associated lexical variation overtime on published content, ultimately determining the so-called hot topics in arbitrary instants, including now. Three prominent scientific articles databases are probed by this work, they are arXiv, IEEExplore, and Springer Nature.The dataset contains:Identification of the articles used in the studyThe proportion of the topics in each documentNumber of articles per year per topicDistribution of the words that make up each topic
DOI: 10.21227/xgzx-2066
title: Topics modeling in computer science articles

description: By querying open data of notorious scientific databases via representational state transfers, and subsequently enforcing data management practices with a dynamic topic modeling approach on the referred metadata available, this work achieves a feasible form of article set analysis and classification. Research trends for a given field in specific moments are identified, and also the referred trends evolution throughout the years. It is then possible to detect the associated lexical variation overtime on published content, ultimately determining the so-called hot topics in arbitrary instants, including now. Three prominent scientific articles databases are probed by this work, they are arXiv, IEEExplore, and Springer Nature.The dataset contains:Identification of the articles used in the studyThe proportion of the topics in each documentNumber of articles per year per topicDistribution of the words that make up each topic
DOI: 10.21227/rjwh-2b03
title: Occupant-Induced Office Floor Vibration Dataset

description: We have collected vibration data caused by occupant activity in a campus building in Shenzhen, China.This dataset is utilizing structural vibrationsto detect occupant information by capturing the occupant-inducedvibration signals on the floor.
DOI: 10.5281/zenodo.3871591
title: MiniLibriMix dataset

description: MiniLibriMix is a small version of LibriMix. It was made for demonstration purposes. It contains a train set of 800 mixtures and a validation set of 200 mixtures. In each set, you will find : mix_clean a folder containing clean mixtures of 2 speakers. mix_both a folder containing clean mixtures of 2 speakers and a noise. s1, s2, noise three folders containing the raw signals in the mixture. We also provide metadata that are useful to load the data easily. You should check out Asteroid where models, dataloaders and more resources are available.
DOI: 10.5281/zenodo.3871592
title: MiniLibriMix dataset

description: MiniLibriMix is a small version of LibriMix. It was made for demonstration purposes. It contains a train set of 800 mixtures and a validation set of 200 mixtures. In each set, you will find : mix_clean a folder containing clean mixtures of 2 speakers. mix_both a folder containing clean mixtures of 2 speakers and a noise. s1, s2, noise three folders containing the raw signals in the mixture. We also provide metadata that are useful to load the data easily. You should check out Asteroid where models, dataloaders and more resources are available.
DOI: 10.5281/zenodo.3871677
title: Data_Current_Pollution_Reports-20200528

description: Data used in the work "An overview of snow albedo sensitivity to black carbon contamination and snow grain properties based on experimental datasets across the northern Hemisphere"
DOI: 10.5519/qd.xemjjsgd
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.3871437
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: 10.5281/zenodo.3871438
title: Experimental and Simulation Results of "3D Printed Biomodels for Flow Visualization in Stenotic Vessels: An Experimental and Numerical Study"

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: 10.5281/zenodo.3871676
title: Data_Current_Pollution_Reports-20200528

description: Data used in the work "An overview of snow albedo sensitivity to black carbon contamination and snow grain properties based on experimental datasets across the northern Hemisphere"
DOI: 10.21227/sswd-a766
title: Topics modeling in computer science articles

description: By querying open data of notorious scientific databases via representational state transfers, and subsequently enforcing data management practices with a dynamic topic modeling approach on the referred metadata available, this work achieves a feasible form of article set analysis and classification. Research trends for a given field in specific moments are identified, and also the referred trends evolution throughout the years. It is then possible to detect the associated lexical variation overtime on published content, ultimately determining the so-called hot topics in arbitrary instants, including now. Three prominent scientific articles databases are probed by this work, they are arXiv, IEEExplore, and Springer Nature.The dataset contains:Identification of the articles used in the studyThe proportion of the topics in each documentNumber of articles per year per topicDistribution of the words that make up each topic
DOI: 10.5281/zenodo.3871959
title: All Luminosity Templates Associated with "Classifying Single Stars and Spectroscopic Binaries Using Optical Stellar Templates"

description: Zip files for the luminosity normalized individual stellar templates, and all combinations of SB2 templates. The templates are in fits format. The first table extension contains the template (wavelength, luminosity, variance, error). These luminosity templates have units of erg /s /angstrom.
DOI: 10.21227/fc01-d211
title: Topics modeling in computer science articles

description: By querying open data of notorious scientific databases via representational state transfers, and subsequently enforcing data management practices with a dynamic topic modeling approach on the referred metadata available, this work achieves a feasible form of article set analysis and classification. Research trends for a given field in specific moments are identified, and also the referred trends evolution throughout the years. It is then possible to detect the associated lexical variation overtime on published content, ultimately determining the so-called hot topics in arbitrary instants, including now. Three prominent scientific articles databases are probed by this work, they are arXiv, IEEExplore, and Springer Nature.The dataset contains:Identification of the articles used in the studyThe proportion of the topics in each documentNumber of articles per year per topicDistribution of the words that make up each topic
DOI: 10.7910/dvn/dkovla/e6znvl
title: coronavirus-tweet-id-2020-05-02-16.txt

description: :unav
DOI: 10.7910/dvn/dkovla/tb1cqr
title: coronavirus-tweet-id-2020-04-22-19.txt

description: :unav
DOI: 10.21227/pskn-h137
title: Topics modeling in computer science articles

description: By querying open data of notorious scientific databases via representational state transfers, and subsequently enforcing data management practices with a dynamic topic modeling approach on the referred metadata available, this work achieves a feasible form of article set analysis and classification. Research trends for a given field in specific moments are identified, and also the referred trends evolution throughout the years. It is then possible to detect the associated lexical variation overtime on published content, ultimately determining the so-called hot topics in arbitrary instants, including now. Three prominent scientific articles databases are probed by this work, they are arXiv, IEEExplore, and Springer Nature.The dataset contains:Identification of the articles used in the studyThe proportion of the topics in each documentNumber of articles per year per topicDistribution of the words that make up each topic
DOI: 10.25934/00005137.0
title: Available IPD datapackage for study 'A 16-week Double-blind, Placebo-controlled (for Initial 2 Weeks) Randomized Period, Followed by a 24-week Open-label Extension to Assess Magnetic Resonance Image (MRI) - Verified Early Response to Certolizumab Pegol in Subjects With Active Rheumatoid Arthritis (RA)'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00005137.1
title: IPD datapackage for study 'A 16-week Double-blind, Placebo-controlled (for Initial 2 Weeks) Randomized Period, Followed by a 24-week Open-label Extension to Assess Magnetic Resonance Image (MRI) - Verified Early Response to Certolizumab Pegol in Subjects With Active Rheumatoid Arthritis (RA)' and research request: 'Predicting the Treatment Response of Certolizumab for Individual Patients with Rheumatoid Arthritis: An Individual Participant Data Meta-Analysis - Luo'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.21227/6e9x-aj88
title: Topics modeling in computer science articles

description: By querying open data of notorious scientific databases via representational state transfers, and subsequently enforcing data management practices with a dynamic topic modeling approach on the referred metadata available, this work achieves a feasible form of article set analysis and classification. Research trends for a given field in specific moments are identified, and also the referred trends evolution throughout the years. It is then possible to detect the associated lexical variation overtime on published content, ultimately determining the so-called hot topics in arbitrary instants, including now. Three prominent scientific articles databases are probed by this work, they are arXiv, IEEExplore, and Springer Nature.The dataset contains:Identification of the articles used in the studyThe proportion of the topics in each documentNumber of articles per year per topicDistribution of the words that make up each topic
DOI: 10.3886/e118804
title: Data for: Measuring Time Preferences

description: We review research that measures time preferences—i.e., preferences over intertemporal trade-offs. We distinguish between studies using financial flows, which we call “money earlier or later” (MEL) decisions and studies that use time-dated consumption/effort. Under different structural models, we show how to translate what MEL experiments directly measure (required rates of return for financial flows) into a discount function over utils. We summarize empirical regularities found in MEL studies and the predictive power of those studies. We explain why MEL choices are driven in part by some factors that are distinct from underlying time preferences.
DOI: 10.3886/e118804v1
title: Data for: Measuring Time Preferences

description: We review research that measures time preferences—i.e., preferences over intertemporal trade-offs. We distinguish between studies using financial flows, which we call “money earlier or later” (MEL) decisions and studies that use time-dated consumption/effort. Under different structural models, we show how to translate what MEL experiments directly measure (required rates of return for financial flows) into a discount function over utils. We summarize empirical regularities found in MEL studies and the predictive power of those studies. We explain why MEL choices are driven in part by some factors that are distinct from underlying time preferences.