cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14469/hpc/10613
title: Elucidating the Role of Antisolvents on the Surface Chemistry and Optoelectronic Properties of CsPbBrxI3-x Perovskite Nanocrystals

description: Authors: Junzhi Ye, Zhenchao Li , Dominik J. Kubicki, Yunwei Zhang, Linjie Dai, Clara Otero Martínez, Manuel A Reus, Rakesh Arul, Kavya Reddy Dudipala, Zahra Andaji-Garmaroudi, Yi-Teng Huang, Zewei Li, Ziming Chen, Peter Müller-Buschbaum, Hin-Lap Yip, Samuel D. Stranks, Clare P. Grey, Jeremy J Baumberg, Neil C. Greenham, Lakshminarayana Polavarapu, Akshay Rao,* Robert L. Z. Hoye* * Corresponding authors. This is the dataset for the paper "Elucidating the Role of Antisolvents on the Surface Chemistry and Optoelectronic Properties of CsPbBrxI3-x Perovskite Nanocrystals" https://doi.org/10.1021/jacs.2c02631
DOI: 10.14469/hpc/10644
title: Sex differences in febrile children with respiratory symptoms attending European Emergency Departments (MOFICHE)

description: Dataset containing individual participant data (N=19,781). This data is anonymised and does not contain any identifiable data.
DOI: 10.14469/hpc/10685
title: Presentations of children to emergency departments across Europe and the COVID-19 pandemic: a multinational observational study

description: Principal investigator: Ruud G Nijman, email: r.nijman@imperial.ac.uk (RN)
DOI: 10.5281/zenodo.6954063
title: Respuestas de la encuesta "Necesidad y uso de datos abiertos en investigaciones, y en particular en investigaciones en educación"

description: El estudio tuvo como objetivo recabar información sobre el conocimiento, la necesidad y el uso de datos abiertos de investigaciones. En particular, focalizamos en investigaciones en educación. Esta encuesta fue anónima y tuvo como fin trabajar en un diagnóstico sobre las prácticas de Datos Abiertos en el ámbito de investigaciones en educación en la comunidad Latinoamericana y del Caribe.
DOI: 10.5281/zenodo.6954062
title: Respuestas de la encuesta "Necesidad y uso de datos abiertos en investigaciones, y en particular en investigaciones en educación"

description: El estudio tuvo como objetivo recabar información sobre el conocimiento, la necesidad y el uso de datos abiertos de investigaciones. En particular, focalizamos en investigaciones en educación. Esta encuesta fue anónima y tuvo como fin trabajar en un diagnóstico sobre las prácticas de Datos Abiertos en el ámbito de investigaciones en educación en la comunidad Latinoamericana y del Caribe.
DOI: 10.6084/m9.figshare.13373246.v2
title: Model-Based Clustering and Prediction With Mixed Measurements Involving Surrogate Classifiers

description: Identification of underlying subpopulations to account for unobserved heterogeneity in the population is a challenging statistical problem, mainly because no explicit information about the latent classes is available. Although latent class analysis via finite mixture models is often used successfully to probabilistically identify subpopulations in applications, it often fails with data for which such subpopulations exhibit high latency. Borrowing strength from readily accessible auxiliary classifiers, even when subject to misclassification, may yield improved results in such settings. We develop in this article a joint modeling approach that combines data from multiple sources, including observed characteristics that are often used alone for clustering and classification, as well as results based on imperfect surrogate classifiers, to better identify the latent classes for more accurate classification and prediction. We outline maximum likelihood estimation for the joint model using the EM algorithm, and we show empirically via simulations that our methodology yields better estimates of the underlying latent class distributions than those obtained by ignoring the auxiliary information, while providing joint assessments of the surrogate classifiers. The advantages are significant when there is high latency and the surrogate classifiers are at least moderately accurate. We use real diagnostic data on dry eye disease, for which no gold standard is available, to illustrate our methodology.
DOI: 10.6084/m9.figshare.13373246
title: Model-Based Clustering and Prediction With Mixed Measurements Involving Surrogate Classifiers

description: Identification of underlying subpopulations to account for unobserved heterogeneity in the population is a challenging statistical problem, mainly because no explicit information about the latent classes is available. Although latent class analysis via finite mixture models is often used successfully to probabilistically identify subpopulations in applications, it often fails with data for which such subpopulations exhibit high latency. Borrowing strength from readily accessible auxiliary classifiers, even when subject to misclassification, may yield improved results in such settings. We develop in this article a joint modeling approach that combines data from multiple sources, including observed characteristics that are often used alone for clustering and classification, as well as results based on imperfect surrogate classifiers, to better identify the latent classes for more accurate classification and prediction. We outline maximum likelihood estimation for the joint model using the EM algorithm, and we show empirically via simulations that our methodology yields better estimates of the underlying latent class distributions than those obtained by ignoring the auxiliary information, while providing joint assessments of the surrogate classifiers. The advantages are significant when there is high latency and the surrogate classifiers are at least moderately accurate. We use real diagnostic data on dry eye disease, for which no gold standard is available, to illustrate our methodology.
DOI: 10.6084/m9.figshare.13373246.v1
title: Model-based Clustering and Prediction with Mixed Measurements involving Surrogate Classifiers

description: Identification of underlying subpopulations to account for unobserved heterogeneity in the population is a challenging statistical problem, mainly because no explicit information about the latent classes is available. Although latent class analysis via finite mixture models is often used successfully to probabilistically identify subpopulations in applications, it often fails with data for which such subpopulations exhibit high latency. Borrowing strength from readily accessible auxiliary classifiers, even when subject to misclassification, may yield improved results in such settings. We develop in this paper a joint modelling approach that combines data from multiple sources, including observed characteristics that are often used alone for clustering and classification, as well as results based on imperfect surrogate classifiers, in order to better identify the latent classes for more accurate classification and prediction. We outline maximum likelihood estimation for the joint model using the EM algorithm, and we show empirically via simulations that our methodology yields better estimates of the underlying latent class distributions than those obtained by ignoring the auxiliary information, while providing joint assessments of the surrogate classifiers. The advantages are significant when there is high latency and the surrogate classifiers are at least moderately accurate. We use real diagnostic data on dry eye disease, for which no gold standard is available, to illustrate our methodology.
DOI: 10.3886/e166081
title: Group Emotion Evolution in Online Social Networks

description: Online social network data are one of the most effective and accurate indicators for studying public emotions. Therefore, we choose data from Sina Weibo, one of the four largest online social networking sites in China, as empirical data and choose the incident of the "truck driver who took pesticide" that occurred in Tangshan, China, in April 2021 as an experimental case. The incident was the suicide of a truck driver, Jin Deqiang, who took pesticide in Tangshan City because he was fined by the traffic police, which led to public opinion topics extending and fermenting. We used crawler tools to collect information on related blog posts and comments, comment time, number of forwards, number of likes, and number of comments on the Sina Weibo platform from April 5, 2021, to April 12, 2021, using "driver drinking medicine", "Tangshan truck" and "Jin Deqiang" as keywords and obtained a total of 20,958 pieces of data. At the same time, these keywords are used to crawl the officially certified government microblogs and media microblogs on Sina Weibo during that time period and obtain textual information such as the user names, the number of followers, the content of the posted blog posts, the posting time, and the number of forwards of these microblogs.
DOI: 10.3886/e166081v1
title: Group Emotion Evolution in Online Social Networks

description: Online social network data are one of the most effective and accurate indicators for studying public emotions. Therefore, we choose data from Sina Weibo, one of the four largest online social networking sites in China, as empirical data and choose the incident of the "truck driver who took pesticide" that occurred in Tangshan, China, in April 2021 as an experimental case. The incident was the suicide of a truck driver, Jin Deqiang, who took pesticide in Tangshan City because he was fined by the traffic police, which led to public opinion topics extending and fermenting. We used crawler tools to collect information on related blog posts and comments, comment time, number of forwards, number of likes, and number of comments on the Sina Weibo platform from April 5, 2021, to April 12, 2021, using "driver drinking medicine", "Tangshan truck" and "Jin Deqiang" as keywords and obtained a total of 20,958 pieces of data. At the same time, these keywords are used to crawl the officially certified government microblogs and media microblogs on Sina Weibo during that time period and obtain textual information such as the user names, the number of followers, the content of the posted blog posts, the posting time, and the number of forwards of these microblogs.
DOI: 10.7284/104350
title: Gyrocompass data collected during research cruise WS1102 using a SGB Meridian instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104351
title: Radiometer data collected during research cruise WS1102 using a Eppley PSP instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104352
title: Radiometer data collected during research cruise WS1102 using a Eppley TUV instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104356
title: Radiometer data collected during research cruise WS1102 using a Eppley PIR instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104355
title: Rain Gauge data collected during research cruise WS1102 using a OSI ORG-815 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104353
title: Water Temperature data collected during research cruise WS1102 using a SeaBird SBE-38 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104354
title: TSG (Thermosalinograph) data collected during research cruise WS1102 using a SeaBird SBE-45 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.17632/jrx588kkv3.1
title: LINF_310008700

description: amino acid transporter | AAT1.2
Leishmania infantum (strain JPCM5)
DOI: 10.35077/ace-big
title: fMOST_cells_193644

description: This dataset comes from combining genetic labeling with fMOST to achieve a genetically targeted single neuron saturation screen of major classes of cortical projection neurons in the sensorimotor system.
description: Imaging: TDI; Virus: AAV
description: DATASET METADATA: title:'fMOST_cells_193644', GeneralModality:'cell morphology', Technique:'fMOST; neuron morphology reconstruction' SPECIMEN METADATA: LocalID:'193644', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Age:'22', Ageunit:'Weeks', Sex:'Male', Genotype:'PlexinD1-CreER*LSL-flp', OrganName:'Brain', Locations:'Mos' INSTRUMENT METADATA: MicroscopeType:'fMOST' IMAGE METADATA: yAxis:'inferior-to-superior', zAxis:'anterior-to-posterior', Number:'1, gray', displayColor:'(0.8, 0.8, 0.8)', stepSizeX:'0.35 micron/pixel', stepSizeY:'0.35 micron/pixel', stepSizeZ:'1 micron/pixel'
DOI: 10.17632/sshcpfg3dv.1
title: LINF_310007900

description: hypothetical protein - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/bsg3vbyzns.1
title: LINF_310008600

description: amino acid transporter | AAT1.1
Leishmania infantum (strain JPCM5)
DOI: 10.17632/j9262jxgt8.2
title: Carbon and Nitrogen content and cell biovolume of marine protist Rhizaria (Radiolaria and Phaeodaria)

description: Full data table for Carbon content, Nitrogen content, and biovolume measurements of planktic Rhizaria.
This data is associated with the publication: Mansour, J.S., Norlin, A., Llopis Monferrer, N., L'Helguen, S., and Not, F. (2020). Carbon and nitrogen content to biovolume relationships for marine protists of the Rhizaria lineage (Radiolaria and Phaeodaria). Limnol. Oceanogr. doi: 10.1002/lno.11714

Rhizaria are ubiquitous in oceanic waters. They have previously been underestimated due to their fragility, but recent (molecular) studies show that they are major components of the planktic community and contribute greatly to, among others, the carbon and silica flux. This study provides key data on the carbon and nitrogen content of Rhizaria and its relation to cell biovolume. Here presented are the raw data of measured (CN Elemental Analyzer) carbon and nitrogen content of Rhizaria (i.e. specifically Collodaria, Acantharia, Nassellaria, Spumellaria, Aulacantha, Protocystis, and Challengeria), as well as picture-based estimates of biovolume and derived characteristics. The biovolume-to-mass relationship for these protists has allowed the formulation of mass-to-volume equations and ratios that can be used to estimate mass from biovolume. Our data shows that global Rhizaria biomass might have in fact still been underestimated. This will be pivotal information for studies of ocean ecology and for modeling biomass fluxes, whether it is biogeographic or smaller-scale system dynamics.
DOI: 10.17632/33j7s646j7.1
title: Supplementary table

description: Supplementary table
DOI: 10.35077/ace-bin
title: fMOST_cells_193651

description: This dataset comes from combining genetic labeling with fMOST to achieve a genetically targeted single neuron saturation screen of major classes of cortical projection neurons in the sensorimotor system.
description: Imaging: TDI; Virus: AAV
description: DATASET METADATA: title:'fMOST_cells_193651', GeneralModality:'cell morphology', Technique:'fMOST; neuron morphology reconstruction' SPECIMEN METADATA: LocalID:'193651', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Age:'22', Ageunit:'Weeks', Sex:'Female', Genotype:'PlxnD1-2A-creER*LSL-Flpo', OrganName:'Brain', Locations:'SSs' INSTRUMENT METADATA: MicroscopeType:'fMOST' IMAGE METADATA: yAxis:'inferior-to-superior', zAxis:'anterior-to-posterior', Number:'1, gray', displayColor:'(0.8, 0.8, 0.8)', stepSizeX:'0.35 micron/pixel', stepSizeY:'0.35 micron/pixel', stepSizeZ:'1 micron/pixel'
DOI: 10.17632/kfg8k65w7w.2
title: Haploinsufficiency of the sex-determining genes at MATα restricts genome expansion in Saccharomyces cerevisiae

description: Dataset from manuscript: Kazumasa Oya and Akira Matsuura. Haploinsufficiency of the sex-determining genes at MATα restricts genome expansion in Saccharomyces cerevisiae. iScience, 2022.
DOI: 10.7284/104392
title: Gyrocompass data collected during research cruise WS1106 using a SGB Meridian instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.17632/k6rw2fpsmw.2
title: A cross-cultural comparison of the relation of children’s moral standards of honesty to their lie-telling behaviour

description: Data for "A cross-cultural comparison of the relation of children’s moral standards of honesty to their lie-telling behaviour"
DOI: 10.7284/104393
title: Radiometer data collected during research cruise WS1106 using a Eppley PSP instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.17632/7ky2jbjwtn.1
title: A Stance Dataset with Aspect-based Sentiment Information from Indonesian COVID-19 Vaccination-related Tweets

description: The dataset was collected using Twitter API services for specific keywords posted for ten months, starting from January 2021 to October 2021. The data has been filtered for non-Bahasa (Indonesia language), non-target-related, spam, and duplication. There are two labeling processes: stance and aspect-based sentiment. Three annotators manually labeled the sample data and used the majority vote strategy for the final class label. In our annotation strategy, for stance labeling, each annotator was asked to annotate the individual tweets as "Favor", "Against", or "Neutral" for COVID-19 vaccination programs in Indonesia. While for aspect-based sentiment labeling, each tweet has been annotated into seven predetermined aspects of the COVID-19 vaccination, namely "Services", "Implementation", "Apps", "Costs", "Participants", "Vaccine-products", and "General". Each predetermined aspect will have two possible sentiment values, between "Positive" and "Negative".
DOI: 10.7284/104394
title: Radiometer data collected during research cruise WS1106 using a Eppley TUV instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104398
title: Radiometer data collected during research cruise WS1106 using a Eppley PIR instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104397
title: Rain Gauge data collected during research cruise WS1106 using a OSI ORG-815 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104395
title: Water Temperature data collected during research cruise WS1106 using a SeaBird SBE-38 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104396
title: TSG (Thermosalinograph) data collected during research cruise WS1106 using a SeaBird SBE-45 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104400
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise WS1107 using a SeaBird SBE-911+ instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104403
title: Gyrocompass data collected during research cruise WS1107 using a SGB Meridian instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104404
title: Radiometer data collected during research cruise WS1107 using a Eppley PSP instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104405
title: Radiometer data collected during research cruise WS1107 using a Eppley TUV instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104409
title: Radiometer data collected during research cruise WS1107 using a Eppley PIR instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104408
title: Rain Gauge data collected during research cruise WS1107 using a OSI ORG-815 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104406
title: Water Temperature data collected during research cruise WS1107 using a SeaBird SBE-38 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104407
title: TSG (Thermosalinograph) data collected during research cruise WS1107 using a SeaBird SBE-45 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104463
title: Gyrocompass data collected during research cruise WS1113 using a SGB Meridian instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104464
title: Radiometer data collected during research cruise WS1113 using a Eppley PSP instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104465
title: Radiometer data collected during research cruise WS1113 using a Eppley TUV instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104469
title: Radiometer data collected during research cruise WS1113 using a Eppley PIR instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104468
title: Rain Gauge data collected during research cruise WS1113 using a OSI ORG-815 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104466
title: Water Temperature data collected during research cruise WS1113 using a SeaBird SBE-38 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104467
title: TSG (Thermosalinograph) data collected during research cruise WS1113 using a SeaBird SBE-45 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.20419671
title: LiviaBaldonPathoghensData2022

description: Data of arboviruses infection in AG129 mice and in Aedes aegypti mosquitos
DOI: 10.6084/m9.figshare.20419671.v1
title: LiviaBaldonPathoghensData2022

description: Data of arboviruses infection in AG129 mice and in Aedes aegypti mosquitos
DOI: 10.7284/104493
title: Gyrocompass data collected during research cruise WS1116 using a SGB Meridian instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104494
title: Radiometer data collected during research cruise WS1116 using a Eppley PSP instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104495
title: Radiometer data collected during research cruise WS1116 using a Eppley TUV instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104499
title: Radiometer data collected during research cruise WS1116 using a Eppley PIR instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition