cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e120521
title: Parental Beliefs about Returns to Different Types of Investments in School Children

description: Title: Parental beliefs about returns to different types of investments in school children <br><br>Accepted for publication at: Journal of Human Resources<br>Abstract:<br>Using a representative sample of 1,962 parents in England, we study how parents perceive the returns to parental time investments, material investments and school quality. Parents perceive the returns to 3h of weekly time investments or £30 of weekly material investments to matter more than moving a child to a better school. Material investments are perceived as more productive if children attend higher quality schools. Perceived returns do not differ with the child’s initial human capital or gender, and they are highly correlated with actual investment decisions. <br>Replication files:We provide the survey data as well as replication files for this study. <br><br><br>
description: Provided as part of the data file. See description in journal article. <br>
description: Presence of Common Scales: See description in journal article. <br>
description: web-based survey;
description: Parents of 5-16 year old children living in England<br>. Smallest Geographic Unit: Region
description: The sample was selected to be representative in terms of region in England, the gender and education level of the responding parent, as well as the age and gender of the respondent’s child. The survey company used quota-based sampling when contacting parents to participate. See further information in journal article.<br><br><br><br>
DOI: 10.3886/e120521v1
title: Parental Beliefs about Returns to Different Types of Investments in School Children

description: Title: Parental beliefs about returns to different types of investments in school children <br><br>Accepted for publication at: Journal of Human Resources<br>Abstract:<br>Using a representative sample of 1,962 parents in England, we study how parents perceive the returns to parental time investments, material investments and school quality. Parents perceive the returns to 3h of weekly time investments or £30 of weekly material investments to matter more than moving a child to a better school. Material investments are perceived as more productive if children attend higher quality schools. Perceived returns do not differ with the child’s initial human capital or gender, and they are highly correlated with actual investment decisions. <br>Replication files:We provide the survey data as well as replication files for this study. <br><br><br>
description: Provided as part of the data file. See description in journal article. <br>
description: Presence of Common Scales: See description in journal article. <br>
description: web-based survey;
description: Parents of 5-16 year old children living in England<br>. Smallest Geographic Unit: Region
description: The sample was selected to be representative in terms of region in England, the gender and education level of the responding parent, as well as the age and gender of the respondent’s child. The survey company used quota-based sampling when contacting parents to participate. See further information in journal article.<br><br><br><br>
DOI: 10.5281/zenodo.3972414
title: ENOE First quarter 2020

description: This dataset contains the four tables that conform ENOE (National Suvery of Occupation and Employment): dwelling, household, sociodemographic, socio-labor variables (1), socio-labor-variables (2)
DOI: 10.5281/zenodo.3972413
title: ENOE First quarter 2020

description: This dataset contains the four tables that conform ENOE (National Suvery of Occupation and Employment): dwelling, household, sociodemographic, socio-labor variables (1), socio-labor-variables (2)
DOI: 10.5281/zenodo.3972420
title: Artigos sobre estratégia de difusão digital em instituições culturais

description: Conjunto de 68 artigos sistematizados para revisão integrativa de literatura sobre estratégias de difusão digital em instituições culturais
DOI: 10.5281/zenodo.3972419
title: Artigos sobre estratégia de difusão digital em instituições culturais

description: Conjunto de 68 artigos sistematizados para revisão integrativa de literatura sobre estratégias de difusão digital em instituições culturais
DOI: 10.6084/m9.figshare.5765559.v5
title: Electromechanical stimulation advances maturation of human cardiac tissues grown from pluripotent stem cells

description: Data used to generate the figures in the manuscript Electromechanical stimulation advances maturation of human cardiac tissues grown from pluripotent stem cells.
DOI: 10.5281/zenodo.3943128
title: Antibody Watch: Text Mining Antibody Specificity from the Literature

description: <strong>Abstract </strong> <strong>Motivation</strong>: Antibodies are widely used reagents to test for expression of proteins. However, they might not always reliably produce results when they do not specifically bind to the target proteins that their providers designed them for, leading to unreliable research results. <strong>Results</strong>: We developed a deep neural network system and tested its performance with a corpus of more than two thousand articles that reported uses of antibodies. We divided the problem into two tasks. Given an input article, the first task is to identify snippets about antibody specificity and classify if the snippets report any antibody that is nonspecific, and thus problematic. The second task is to link each of these snippets to one or more antibodies that the snippet referred to. We leveraged the Research Resource Identifiers (RRID) to precisely identify antibodies linked to the extracted specificity snippets. The result shows that it is feasible to construct a reliable knowledge base about problematic antibodies by text mining.
DOI: 10.5281/zenodo.3701930
title: Antibody Watch: Text Mining Antibody Specificity from the Literature

description: <strong>Abstract </strong> <strong>Motivation</strong>: Antibodies are widely used reagents to test for expression of proteins. However, they might not always reliably produce results when they do not specifically bind to the target proteins that their providers designed them for, leading to unreliable research results. <strong>Results</strong>: We developed a deep neural network system and tested its performance with a corpus of more than two thousand articles that reported uses of antibodies. We divided the problem into two tasks. Given an input article, the first task is to identify snippets about antibody specificity and classify if the snippets report any antibody that is nonspecific, and thus problematic. The second task is to link each of these snippets to one or more antibodies that the snippet referred to. We leveraged the Research Resource Identifiers (RRID) to precisely identify antibodies linked to the extracted specificity snippets. The result shows that it is feasible to construct a reliable knowledge base about problematic antibodies by text mining.
DOI: 10.5281/zenodo.3972324
title: Spatial distribution and conservation hotpsots of mammals in Canada

description: Data and code for Cameron & Hargreaves 2020 FACETS
DOI: 10.5281/zenodo.3972323
title: Spatial distribution and conservation hotpsots of mammals in Canada

description: Data and code for Cameron & Hargreaves 2020 FACETS
DOI: 10.21227/g99z-8645
title: US-WGAN

description: In this network, a network US-WGAN, which can generate ultrasonic guided wave signals, is proposed to solve the problem of lack of data sets for ultrasonic nondestructive testing based on deep neural networks. This network was trained on the pre-enhanced data set and US-WGAN-enhanced data set with 3000 epochs, and the ultrasound signals generated by US-WGAN are proved to be of high quality (peak signal to noise ratio score of 30 – 50 dB) and belong to the same distribution population as the original data set.The discriminator network first receives the samples of the real signals and the fake signals generated by the generator, then these data pass through two fully connected layers and one Leaky ReLU activation layer for dimensionality reduction. Next, sigmoid cross entropy functions are used to calculate the training loss of each signal, and for the purpose of judging fake signals as fake and real signals as real, the discriminator network is finally updated. It should be noted that in order to improve the stability of network training, gradient penalty terms (in Eq. (3)) are added to update the network gradient parameters.The input of the generator network is a randomly initialized tensor with z rows and 100 columns. This tensor passes through two fully connected layers and one Leaky ReLU activation layer to generate ultrasonic detection signals with 8000 sampling points in each signal. In order to make the generated signal have the same range as the original data, the sigmoid activation function is used as the previous layer of the generator output. The generated fake signals are fed into the discriminator and the generator network parameters will be updated with the purpose of judging the discriminator’s output as real (using sigmoid cross entropy loss functions). In this way, by constantly updating the network parameters of the discriminator and the generator, the quality of the generated signals will continue to improve in the network game.Paper title: An ultrasonic guided wave signal generation network suitable for data enhancement in deep learning: US-WGAN Author: Hongyu Sun Email:sunhy18@mails.tsinghua.edu.cnIf you use our code and database set, please cite our paper [however, not published].NOTICE: Reviewers can obtain the data set password from the end of the paper's Abstract to run the code.Development environment： TensorFlow 2.2 CUDA 10.1 Python 3.7
DOI: 10.21227/prdv-cg67
title: US-WGAN

description: In this network, a network US-WGAN, which can generate ultrasonic guided wave signals, is proposed to solve the problem of lack of data sets for ultrasonic nondestructive testing based on deep neural networks. This network was trained on the pre-enhanced data set and US-WGAN-enhanced data set with 3000 epochs, and the ultrasound signals generated by US-WGAN are proved to be of high quality (peak signal to noise ratio score of 30 – 50 dB) and belong to the same distribution population as the original data set.The discriminator network first receives the samples of the real signals and the fake signals generated by the generator, then these data pass through two fully connected layers and one Leaky ReLU activation layer for dimensionality reduction. Next, sigmoid cross entropy functions are used to calculate the training loss of each signal, and for the purpose of judging fake signals as fake and real signals as real, the discriminator network is finally updated. It should be noted that in order to improve the stability of network training, gradient penalty terms (in Eq. (3)) are added to update the network gradient parameters.The input of the generator network is a randomly initialized tensor with z rows and 100 columns. This tensor passes through two fully connected layers and one Leaky ReLU activation layer to generate ultrasonic detection signals with 8000 sampling points in each signal. In order to make the generated signal have the same range as the original data, the sigmoid activation function is used as the previous layer of the generator output. The generated fake signals are fed into the discriminator and the generator network parameters will be updated with the purpose of judging the discriminator’s output as real (using sigmoid cross entropy loss functions). In this way, by constantly updating the network parameters of the discriminator and the generator, the quality of the generated signals will continue to improve in the network game.Paper title: An ultrasonic guided wave signal generation network suitable for data enhancement in deep learning: US-WGAN Author: Hongyu Sun Email:sunhy18@mails.tsinghua.edu.cnIf you use our code and database set, please cite our paper [however, not published].NOTICE: Reviewers can obtain the data set password from the end of the paper's Abstract to run the code.Development environment： TensorFlow 2.2 CUDA 10.1 Python 3.7
DOI: 10.5281/zenodo.3970964
title: Adjacency matrices of global atmospheric moisture networks during 2007-2016

description: This dataset provides the adjacency matrices used to run Infomap to conduct community detection of global atmospheric moisture networks. A detailed description of file naming convention, dimension information and how to read the files can be found in 'Readme.txt'.
DOI: 10.5281/zenodo.3970963
title: Adjacency matrices of global atmospheric moisture networks during 2007-2016

description: This dataset provides the adjacency matrices used to run Infomap to conduct community detection of global atmospheric moisture networks. A detailed description of file naming convention, dimension information and how to read the files can be found in 'Readme.txt'.
DOI: 10.21227/w7f3-xn42
title: QRNG Machine Learning

description: Dataset used in paper "Machine Learning Cryptanalysis of a Quantum Random Number Generator" published at IEEE TIFS.
DOI: 10.5517/ccdc.csd.cc25slxh
title: CCDC 2019647: Experimental Crystal Structure Determination

description: Related Article: S.M. Kovalenko, I.S. Konovalova, S.I. Merzlikin, V.P. Chuev, D.V. Kravchenko|2020|Acta Crystallogr.,Sect.E:Cryst.Commun.|76|1407|doi:10.1107/S2056989020010439
DOI: 10.7910/dvn/8jemay/eqswsi
title: Jeehp_17_20_abstrat recording.m4a

description: :unav
DOI: 10.7910/dvn/8jemay/cwboil
title: Suppl_3_Korean.pdf

description: :unav
DOI: 10.34725/dvn/hn12c3/a1rsbp
title: Fruit Tree Species.tab
DOI: 10.34725/dvn/hn12c3/j3g6oo
title: World Economic Fruit Tree Species methods.pdf
DOI: 10.34725/dvn/hn12c3/lmddgl
title: 0. Disclaimer.pdf
DOI: 10.34725/dvn/hn12c3/6jxg8b
title: World Economic Plants - Fruit.tab
DOI: 10.34725/dvn/hn12c3
title: World Economic Fruit Tree Species

description: A list of 688 fruit taxa that was downloaded on 18 June 2020 from GRIN-global for World Economic Plants in the database for the query: family = 'all families' & native country = 'all countries' & economic uses: Human food = ''as fruit'. Plant names were standardized via the WorldFlora package (version 1.6; Kindt 2020) with the World Flora Online Taxonomic Backbone version 2019.05. A species list was created from the genus and species names of the matched taxonomic name. From this list, a list of 404 fruit tree species that was derived by matching species names with the GlobalTreeSearch (GTS) database (version 1.3; Beech et al. 2017). Continents where species are native follow the World Geographic Scheme of Recording Plant Distributions (WGSRPD). Countries listed in GTS were matched with continents of the WGSRPD by using country-continent allocations available from Kindt 2020. Listing in USDA Food Composition Databases and Global Invasive Species Database were obtained from the Agroforestry Species Switchboard. Listing in FAO crop statistics was inferred from World Yield Data for 2018, downloaded in March 2020.
DOI: 10.5281/zenodo.3972506
title: Regression committee machine and petrophysical model jointly driven parameter reservoirs prediction from wireline logs for tight sandstone

description: <pre>This data comes from this study: "Regression committee machine and petrophysical model jointly driven parameter reservoirs prediction from wireline logs for tight sandstone". It is the intelligent prediction result of porosity, permeability and water saturation of two wells in the Ordos Basin, China</pre>
DOI: 10.5281/zenodo.3972505
title: Regression committee machine and petrophysical model jointly driven parameter reservoirs prediction from wireline logs for tight sandstone

description: <pre>This data comes from this study: "Regression committee machine and petrophysical model jointly driven parameter reservoirs prediction from wireline logs for tight sandstone". It is the intelligent prediction result of porosity, permeability and water saturation of two wells in the Ordos Basin, China</pre>
DOI: 10.5281/zenodo.3890315
title: Historical data of heroes and players of Dota 2

description: This dataset contains historical data of heroes and players of Dota 2 and features to be used in win prediction models. More specifically, it includes: Changelog for all existing heroes of Dota 2 Historical attribute values for all existing heroes of Dota 2 Base strength Base agility Base intelligence Strength gain Agility gain Intelligence gain Base health Base health regeneration Movement speed Historical statistics of heroes and players of Dota 2 Historical statistics of heroes and players of Dota 2 organized by date Computed features useful for win prediction models
DOI: 10.5281/zenodo.3890314
title: Historical data of heroes and players of Dota 2

description: This dataset contains historical data of heroes and players of Dota 2 and features to be used in win prediction models. More specifically, it includes: Changelog for all existing heroes of Dota 2 Historical attribute values for all existing heroes of Dota 2 Base strength Base agility Base intelligence Strength gain Agility gain Intelligence gain Base health Base health regeneration Movement speed Historical statistics of heroes and players of Dota 2 Historical statistics of heroes and players of Dota 2 organized by date Computed features useful for win prediction models
DOI: 10.7910/dvn/mhw4oz/wtvjvz
title: Cleaned data for MYSAP INLAND .xlsx

description: :unav
DOI: 10.21227/45ns-zp88
title: QRNG Machine Learning

description: Dataset used in paper "Machine Learning Cryptanalysis of a Quantum Random Number Generator" published at IEEE TIFS.
DOI: 10.15468/wbynax
title: Notes on some Catoptria Huebner, 1825 (Crambidae, Lepidoptera) from the Central Apennines (Italy), with the descriptions of Catoptria samnitica sp. nov. and the male of Catoptria apenninica Bassi, 2017

description: This dataset contains the digitized treatments in Plazi based on the original journal article Bassi, Graziano, Huemer, Peter (2020): Notes on some Catoptria Huebner, 1825 (Crambidae, Lepidoptera) from the Central Apennines (Italy), with the descriptions of Catoptria samnitica sp. nov. and the male of Catoptria apenninica Bassi, 2017. Nota Lepidopterologica 43: 253-263, DOI: http://dx.doi.org/10.3897/nl.43.52520, URL: http://dx.doi.org/10.3897/nl.43.52520
DOI: 10.15468/9qrzg3
title: Observations on the Isturgia limbaria (Fabricius, 1775) / roraria (Fabricius, 1776) complex (Lepidoptera, Geometridae, Ennominae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Flamigni, Claudio, Fiumi, Gabriele (2020): Observations on the Isturgia limbaria (Fabricius, 1775) / roraria (Fabricius, 1776) complex (Lepidoptera, Geometridae, Ennominae). Nota Lepidopterologica 43: 227-251, DOI: http://dx.doi.org/10.3897/nl.43.46559, URL: http://dx.doi.org/10.3897/nl.43.46559
DOI: 10.15468/g972qf
title: Taxonomic note on Parnassia (Celastraceae): the identity of P. nubicola

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ma, Yonghong, Zhou, Hanlu, Shu, Yumin (2020): Taxonomic note on Parnassia (Celastraceae): the identity of P. nubicola. PhytoKeys 154: 103-109, DOI: http://dx.doi.org/10.3897/phytokeys.154.54042, URL: http://dx.doi.org/10.3897/phytokeys.154.54042
DOI: 10.15468/ts7nak
title: A synopsis of the expanded Rhaphiolepis (Maleae, Rosaceae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Liu, Bin-Bin, Wang, Yu-Bing, Hong, De-Yuan, Wen, Jun (2020): A synopsis of the expanded Rhaphiolepis (Maleae, Rosaceae). PhytoKeys 154: 19-55, DOI: http://dx.doi.org/10.3897/phytokeys.154.52790, URL: http://dx.doi.org/10.3897/phytokeys.154.52790
DOI: 10.15468/ngw6sm
title: Synopsis of Schizanthus Ruiz & Pav. (Solanaceae), a genus endemic to the southern Andes

description: This dataset contains the digitized treatments in Plazi based on the original journal article Morales-Fierro, Vanezza, Munoz-Schick, Melica, Moreira-Munoz, Andres (2020): Synopsis of Schizanthus Ruiz & Pav. (Solanaceae), a genus endemic to the southern Andes. PhytoKeys 154: 57-102, DOI: http://dx.doi.org/10.3897/phytokeys.154.49615, URL: http://dx.doi.org/10.3897/phytokeys.154.49615
DOI: 10.21227/fth9-xk25
title: Modelling i-v and p-v characteristics of PV modules

description: The matlab code allows you to model the i-v and p-v charateristic of photovoltaic modules as a 3D look-up table that can be used in Matalb, Simulink or other software like PLECS. The model generated is according to the single-diode, 5 parameters equivalent circuit. The ideal application of this research would be to model the PV input source in power electronics applications, where a converter is interfaced to a PV module.
DOI: 10.21227/3vdr-vv76
title: Modelling i-v and p-v characteristics of PV modules

description: The matlab code allows you to model the i-v and p-v charateristic of photovoltaic modules as a 3D look-up table that can be used in Matalb, Simulink or other software like PLECS. The model generated is according to the single-diode, 5 parameters equivalent circuit. The ideal application of this research would be to model the PV input source in power electronics applications, where a converter is interfaced to a PV module.
DOI: 10.7910/dvn/xnqifa/nmdmle
title: GIA Report Loud Love Jewelry 2020.docx

description: :unav
DOI: 10.25919/5f2a64fe64931
title: Parkes observations for project PX600 semester 2020APRS_12

description: The Galactic Center (GC) is a key target for the radio component of Breakthrough Listen (BL) program. Offering the largest amount of stars in any given direction in the sky, the GC is widely cited as a location believed to harbour advanced civilizations, and it is also the most energetic region in the Milky Way. We aim to conduct BL-GC Survey with Parkes radio telescope for around 350 hours. We will cover the frequency range from 700 MHz to 4 GHz, utilizing the newly installed ultra-wideband receiver. Our team has already leveraged both standard and bespoke tools to construct a flexible software stack to search data for signals of interest. We will look for signals from extraterrestrial intelligence (ETI) by searching for both simple narrow-band signals and complex modulated signals. Along with that, as an ancillary science, we will also search for accelerated pulsars — likely orbiting a supermassive black hole at the centre of the Milky Way Galaxy. Data products produced during this program will also be publically available to engage larger pulsar community
DOI: 10.26066/rds.36038
title: Flood Extent in Nepal, India and Bangladesh for July 2020

description: The data proivdes flood extent in July 2020 covering areas of Nepal, India and Bangladesh. The data has been developed as part of rapid flood inundaton mapping activity to support quick and effective response. The Sentinel-1 synthetic aperture radar (SAR) images for July 2020 have been used to generate the flood extent data.
DOI: 10.5281/zenodo.3972767
title: Remaining useful life estimation of bearings: Meta-analysis of Experimental Procedure

description: The file <strong>analysis.xlsx</strong> contains the data and statistics obtained from a survey that analyzed the machine learning procedures used for estimating the remaining useful life (RUL) of bearings. The goal is to evaluate the extent to which proper protocol is adhered to for RUL estimation in the domain of predictive maintenance. We surveyed 3 knowledge bases with keywords targeting this specific field, sampled the research and recorded the current practices. Below we present the details of the various spreadsheets where the collected data is registered and analyzed.
description: This work was supported by the European Regional Development Fund (FEDER) through a grant to the Operational Program for the Competitiveness and Internationalization of Portugal 2020 via the PRODUTECH-SIF (Ref. nº POCI-01-0247-FEDER-024541) Partnership Agreement.