cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7097913
title: AriEmozione2.0

description: The corpus AriEmozione 2.0 contains a selection of operas composed between 1655 and 1765, with each verse annotated with an emotion. The annotation of AriEmozione 2.0 is conducted in a self-learning manner leveraging on the AriEmozione 1.0 corpus. Six emotion labels are used, namely Amore (Love) Gioia (Joy) Ammirazione (Admiration) Rabbia (Anger) Tristezza (Sadness) Paura (Fear) This corpus contains about 89k verses. Each line in the tsv file is composed of: Verse ID : unique aria and verse ID. Each ID is composed of an aria ID and a verse ID. For example, ZAP1590034_00 means the first verse of aria ZAP1590034 Verse text: the text of the verse in the aria Emotion: one of the six emotions AriEmozione 2.0 is a subset of the materials collected by project CORAGO. How to cite: @article{zhang2022ariemozione,<br> title={AriEmozione 2.0: Identifying Emotions in Opera Verses and Arias},<br> author={ Zhang, Shibingfeng and Fernicola, Francesco and Garcea, Federico and Bonora, Paolo and Barr{\'o}n-Cede\~no, Alberto},<br> journal={Italian Journal of Computational Linguistics},volume={},issue_date = {}<br> year={in press}<br> }
description: {"references": ["Zhang, S., Fernicola, F., Garcea, F., Bonora, P., Barr\u00f3n-Cede\u00f1o, A., (in press). AriEmozione 2.0: Identifying Emotions in Opera Verses and Arias. Italian Journal of Computational Linguistics"]}
DOI: 10.5281/zenodo.7097912
title: AriEmozione2.0

description: The corpus AriEmozione 2.0 contains a selection of operas composed between 1655 and 1765, with each verse annotated with an emotion. The annotation of AriEmozione 2.0 is conducted in a self-learning manner leveraging on the AriEmozione 1.0 corpus. Six emotion labels are used, namely Amore (Love) Gioia (Joy) Ammirazione (Admiration) Rabbia (Anger) Tristezza (Sadness) Paura (Fear) This corpus contains about 89k verses. Each line in the tsv file is composed of: Verse ID : unique aria and verse ID. Each ID is composed of an aria ID and a verse ID. For example, ZAP1590034_00 means the first verse of aria ZAP1590034 Verse text: the text of the verse in the aria Emotion: one of the six emotions AriEmozione 2.0 is a subset of the materials collected by project CORAGO. How to cite: @article{zhang2022ariemozione,<br> title={AriEmozione 2.0: Identifying Emotions in Opera Verses and Arias},<br> author={ Zhang, Shibingfeng and Fernicola, Francesco and Garcea, Federico and Bonora, Paolo and Barr{\'o}n-Cede\~no, Alberto},<br> journal={Italian Journal of Computational Linguistics},volume={},issue_date = {}<br> year={in press}<br> }
description: {"references": ["Zhang, S., Fernicola, F., Garcea, F., Bonora, P., Barr\u00f3n-Cede\u00f1o, A., (in press). AriEmozione 2.0: Identifying Emotions in Opera Verses and Arias. Italian Journal of Computational Linguistics"]}
DOI: 10.6084/m9.figshare.21191320.v1
title: Immediacy Typology Study

description: Dataset used to generate typology of participant perceptions of clinician immediacy and nonimmediacy behaviors using content analysis.
DOI: 10.6084/m9.figshare.21191320
title: Immediacy Typology Study

description: Dataset used to generate typology of participant perceptions of clinician immediacy and nonimmediacy behaviors using content analysis.
DOI: 10.6084/m9.figshare.21112381.v1
title: Data from the manuscript "Breeding phenology of a threatened frog species using eDNA and automatic acoustic monitoring"

description: - "data_acoustic.csv": hourly acoustic data (overall maximum number of calling male chorus frogs and number of calling male chorus frogs recorded by each songmeter A, B and C) - "IPC plate 1.ddpcr" and "IPC plate 2.ddPCR": Internal positive control raw data generated by the QX200 droplet digital PCR reader and associated software (QX Manager 1.2 Standard Edition)."Sample Description 1" column indicates the name used during fieldwork, "Sample Description 2" column indicates the sample name used in the manuscript (i.e. matching with the Figure 1 of the manuscript). - "sample plate 1.ddpcr", "sample plate 2.ddpcr","sample plate 3.ddpcr": raw data of 56 eDNA samples, and positive and negative controls generated by the QX200 droplet digital PCR reader and associated software (QX Manager 1.2 Standard Edition). "Sample Description 1" column indicates the name used during fieldwork, "Sample Description 2" column indicates the sample name used in the manuscript (i.e. matching with the Figure 1 of the manuscript).
DOI: 10.6084/m9.figshare.3761562.v2349
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5281/zenodo.7105927
title: Simulations in Support of Parameterization of Unified Microphysics Across Scales version 1 (PUMASv1) Paper

description: Simulations done in support of manuscript entitled: Importance of Ice Nucleation and Precipitation on Climate with the Parameterization of Unified Microphysics Across Scales version 1 (PUMASv1)
DOI: 10.5281/zenodo.7105926
title: Simulations in Support of Parameterization of Unified Microphysics Across Scales version 1 (PUMASv1) Paper

description: Simulations done in support of manuscript entitled: Importance of Ice Nucleation and Precipitation on Climate with the Parameterization of Unified Microphysics Across Scales version 1 (PUMASv1)
DOI: 10.6084/m9.figshare.21191364
title: Interpolating Population Distributions using Public-use Data: An Application to Income Segregation using American Community Survey Data

description: The presence of income inequality is an important problem to demographers, policy makers, economists, and social scientists. A causal link has been hypothesized between income inequality and income segregation, which measures how much households with similar incomes cluster. The information theory index is used to measure income segregation, however critics have suggested the divergence index instead. Motivated by this, we construct both indices using American Community Survey (ACS) estimates of features of the income distribution. Since the elimination of the decennial census long form, methods of computing these indices must be updated to interpolate ACS estimates and account for survey error. We propose a novel model-based method to do this which improves on previous approaches by using more types of estimates, and by providing uncertainty quantification. We apply this method to estimate U.S. census tract-level income distributions, and in turn use these to construct both income segregation indices. We find major differences between the two indices and find evidence that the information index underestimates the relationship between income inequality and income segregation. The literature suggests interventions designed to reduce income inequality by reducing income segregation, or vice versa, so using the information index implicitly understates the value of these interventions. Supplementary materials for this article, including a standardized description of the materials available for reproducing the work, are available as an online supplement.
DOI: 10.6084/m9.figshare.21191364.v1
title: Interpolating Population Distributions using Public-use Data: An Application to Income Segregation using American Community Survey Data

description: The presence of income inequality is an important problem to demographers, policy makers, economists, and social scientists. A causal link has been hypothesized between income inequality and income segregation, which measures how much households with similar incomes cluster. The information theory index is used to measure income segregation, however critics have suggested the divergence index instead. Motivated by this, we construct both indices using American Community Survey (ACS) estimates of features of the income distribution. Since the elimination of the decennial census long form, methods of computing these indices must be updated to interpolate ACS estimates and account for survey error. We propose a novel model-based method to do this which improves on previous approaches by using more types of estimates, and by providing uncertainty quantification. We apply this method to estimate U.S. census tract-level income distributions, and in turn use these to construct both income segregation indices. We find major differences between the two indices and find evidence that the information index underestimates the relationship between income inequality and income segregation. The literature suggests interventions designed to reduce income inequality by reducing income segregation, or vice versa, so using the information index implicitly understates the value of these interventions. Supplementary materials for this article, including a standardized description of the materials available for reproducing the work, are available as an online supplement.
DOI: 10.5281/zenodo.7106098
title: Schmitzetal2022

description: Data and code to accompany the publication by Schmitz et al. in Science Robotics (2022).
DOI: 10.5281/zenodo.7106097
title: Schmitzetal2022

description: Data and code to accompany the publication by Schmitz et al. in Science Robotics (2022).
DOI: 10.13020/zkrr-ny94
title: Supporting data for "Shaping contactless radiation forces through anomalous acoustic scattering"

description: Waves impart momentum and exert force on obstacles in their path. The transfer of wave momentum is a fundamental mechanism for contactless manipulation, yet the rules of conventional scattering intrinsically limit the radiation force based on the shape and the size of the manipulated object. Here, we show that this intrinsic limit can be broken for acoustic waves with subwavelength-structured surfaces (metasurfaces), where the force becomes controllable by the arrangement of surface features, independent of the objectâ€™s overall shape and size. Harnessing such anomalous metasurface scattering, we demonstrate complex actuation phenomena: self-guidance, where a metasurface object is autonomously guided by an acoustic wave, and tractor beaming, where a metasurface object is pulled by the wave. Our results show that bringing metasurface physics of acoustic waves, and its full arsenal of tools, to the domain of mechanical manipulation opens new frontiers in contactless actuation and enables diverse actuation mechanisms that are beyond the limits of traditional wave-matter interactions.
description: The data set includes the experimental and simulation data for the article, Shaping contactless radiation forces through anomalous acoustic scattering.
DOI: 10.6084/m9.figshare.20170952
title: Winter tick, Dermacentor albipictus, occurrence dataset

description: Data associated with Chenery E.S., N.J. Harms, H. Fenton, N.E. Mandrak, and P.K. Molnár. 2022. Revealing Large-scale Parasite Ranges: An Integrated Spatio-temporal Database and Multi-source Analysis of Winter Tick. We reconstructed the past and present distribution of the winter tick, <em>Dermacentor albipictus,</em> through compilation of a spatio-temporal database to create the first full baseline map of its occurrence throughout its North American range (WTOcc_data). Over 3,400 unique records of winter tick occurrence were compiled from multiple data sources, dating from 1869 to 2020 and spanning from 16.5 to 66.2 °N latitude. Both conventional, published sources and natural-history records were included along with new records from previously unpublished datasets and citizen-science observations to make this a comprehensive occurrence dataset for this species. Along with standardized location information and year of observation, the dataset includes associated host species and descriptive categorisation of the type and source of each record, providing new opportunities to examine host-parasite interactions in the winter tick system over time and space. A comprehensive metadata file (WTOcc_metadata) explaining compilation methods and source limitations, a file containing explanatory processing notes on each source included in the database (WTOcc_source_notes), and a full citation file (WTOcc_citations) of all records included within the database are also provided. In the associated paper, we present these data and discuss the potential sampling biases and lacunas in our integrated database records, particularly at the winter tick’s northernmost range. We also document changes in the types and sources of winter tick information from past to present, highlighting potential issues that should be considered before using these data in further analyses and when collecting ongoing records.
DOI: 10.5281/zenodo.6786908
title: Supplementary Datasets for 'Exploring rift geodynamics in Ethiopia through olivine-spinel Al-exchange thermometry and rare-earth element distributions'

description: Supplementary Datasets for 'Exploring rift geodynamics in Ethiopia through olivine-spinel Al-exchange thermometry and rare-earth element distributions'. Dataset S1: Qualitative X-ray maps of Mg, Ca, Al, Ni, P in olivine-spinel pairs.<br> Dataset S2: Quantitative EPMA point analyses of olivine and spinel. Includes Sheet 1: Secondary standards; Sheet 2: Sample data.<br> Dataset S3: Full inversion outputs from MultiNest.
DOI: 10.5281/zenodo.6786907
title: Supplementary Datasets for 'Exploring rift geodynamics in Ethiopia through olivine-spinel Al-exchange thermometry and rare-earth element distributions'

description: Supplementary Datasets for 'Exploring rift geodynamics in Ethiopia through olivine-spinel Al-exchange thermometry and rare-earth element distributions'. Dataset S1: Qualitative X-ray maps of Mg, Ca, Al, Ni, P in olivine-spinel pairs.<br> Dataset S2: Quantitative EPMA point analyses of olivine and spinel. Includes Sheet 1: Secondary standards; Sheet 2: Sample data.<br> Dataset S3: Full inversion outputs from MultiNest.
DOI: 10.3886/e180501
title: Kentucky Targeted Intervention Program Study

description: This project studied the efficacy and costs of a high school-to-college transition intervention implemented by the Kentucky Department of Education: the Targeted Intervention Program (TIP). TIP screens high school juniors for college readiness and provides interventions--often in the form of transition courses--to those deemed not on track to be college ready when graduating high school. Similar interventions are offered in about 40 states at either the state or the local level. <br><br>The efficacy of TIP was evaluated using extant administrative data stored at the Kentucky Center for Statistics. These data can be accessed by submitting a data use application at https://kystats.ky.gov/. The cost study relied on primary data collected through interviews and online surveys. The final research data for the cost study are shared here.
description: Response Rates: 50%
description: To represent the diversity of contexts in which the TIP was implemented, a stratified sample was drawn from all traditional public high schools in the state. The sample of school sites in this work was drawn from strata based on urbanicity and the percentage of 11th-grade students who qualified for free or reduced-price lunch (FRPL) in the second study year (i.e., the 2015–16 school year).The population of high schools in the state was categorized by district locale (urban, suburban, small town, rural remote) and by low, medium, and high FRPL according to tercile in the statewide distribution. Prior to sample selection, schools and districts that demonstrated low TI implementation compliance were removed from the pool. <br><br>The study team randomly selected two schools from each stratum without replacement. The first-pick set of schools constituted the primary sample, and the second-pick schools served as the backup sample if participation was not secured from schools in the primary sample. The final cost study sample included data from six (out of the planned 12) schools. <br>
description: All traditional public high schools in Kentucky.
description: telephone interview; web-based survey;
DOI: 10.3886/e180501v1
title: Kentucky Targeted Intervention Program Study

description: This project studied the efficacy and costs of a high school-to-college transition intervention implemented by the Kentucky Department of Education: the Targeted Intervention Program (TIP). TIP screens high school juniors for college readiness and provides interventions--often in the form of transition courses--to those deemed not on track to be college ready when graduating high school. Similar interventions are offered in about 40 states at either the state or the local level. <br><br>The efficacy of TIP was evaluated using extant administrative data stored at the Kentucky Center for Statistics. These data can be accessed by submitting a data use application at https://kystats.ky.gov/. The cost study relied on primary data collected through interviews and online surveys. The final research data for the cost study are shared here.
description: Response Rates: 50%
description: To represent the diversity of contexts in which the TIP was implemented, a stratified sample was drawn from all traditional public high schools in the state. The sample of school sites in this work was drawn from strata based on urbanicity and the percentage of 11th-grade students who qualified for free or reduced-price lunch (FRPL) in the second study year (i.e., the 2015–16 school year).The population of high schools in the state was categorized by district locale (urban, suburban, small town, rural remote) and by low, medium, and high FRPL according to tercile in the statewide distribution. Prior to sample selection, schools and districts that demonstrated low TI implementation compliance were removed from the pool. <br><br>The study team randomly selected two schools from each stratum without replacement. The first-pick set of schools constituted the primary sample, and the second-pick schools served as the backup sample if participation was not secured from schools in the primary sample. The final cost study sample included data from six (out of the planned 12) schools. <br>
description: All traditional public high schools in Kentucky.
description: telephone interview; web-based survey;
DOI: 10.6084/m9.figshare.21191500
title: Personality profiles and Pokemon GO engagement.csv

description: The study Personality profiles and engagement with the augmented reality game Pokémon GO is a cross-sectional study that sought to to contrast personality traits between active Pokemon GO players, occasional players, former players, and people who never played Pokemon GO.<br> In this collection we make available the <strong>main</strong> <strong>dataset</strong> used for the analysis in our research paper.
DOI: 10.5517/ccdc.csd.cc25rnp9
title: CCDC 2018741: Experimental Crystal Structure Determination

description: Related Article: Chang Shen, Wasihun Menberu Dagnaw, Ching Wai Fong, Kai Chung Lau, Cheuk-Fai Chow|2022|Chem.Commun.|58|10627|doi:10.1039/D2CC02924C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25919/tm3t-zy53
title: Parkes pulsar observations with undefined project IDs for 2022APRS_18

description: Parkes pulsar observations with undefined project IDs for 2022APRS. This collection contains observations from project IDs PX087 and PX091.
DOI: 10.6084/m9.figshare.21191512
title: TSHR_dim_supplement.pdf

description: Supplementary data for the paper " <strong>Modeling TSH Receptor Dimerization at the Transmembrane Domain</strong> " under review in the journal Endocrinology.
DOI: 10.6084/m9.figshare.21191512.v1
title: TSHR_dim_supplement.pdf

description: Supplementary data for the paper " <strong>Modeling TSH Receptor Dimerization at the Transmembrane Domain</strong> " under review in the journal Endocrinology.
DOI: 10.25919/tee8-vx81
title: Suitability of RNAlater to preserve liver of Atlantic Salmon Salmo salar for proteomics use

description: This collection is comprised of proteomics datasets obtained from Atlantic salmon liver preserved in RNAlater, snap-freezing, and freeze drying following snap-freezing.
DOI: 10.21227/m9wk-xq02
title: pic

description: ioo
DOI: 10.6084/m9.figshare.21178468
title: Data presented in Multi-trial analysis of HIV-1 envelope gp41-reactive antibodies among global recipients of candidate HIV-1 vaccines

description: This folder contains datasets analyzed in the manuscript: <br> Multi-trial analysis of HIV-1 envelope gp41-reactive antibodies among global recipients of candidate HIV-1 vaccines. <br> Frontiers in Immunology<br> Sec. Vaccines and Molecular Therapeutics<br> doi: 10.3389/fimmu.2022.983313
DOI: 10.6084/m9.figshare.21191527
title: Data for Plots in Millsaps & Li 2022 GJI

description: Compressed file containing data and code for generating plots in Millsaps & Li (submitted to GJI, 2022)
DOI: 10.6084/m9.figshare.21191527.v1
title: Data for Plots in Millsaps & Li 2022 GJI

description: Compressed file containing data and code for generating plots in Millsaps & Li (submitted to GJI, 2022)
DOI: 10.7931/zs7y-1w22
title: Ashley Dene lysimeter experiment 1
DOI: 10.5281/zenodo.7105773
title: Dataset of Maass forms of squarefree level computed via the Trace Formula

description: This is data of 33214 Maass forms of squarefree level \(N\) between \(2 \leq N \leq 105\). This data is complementary to the paper arxiv:2201.08760 Each Maass form has its own .txt with the following format: Laplace eigenvalue, Error bound of Laplace eigenvalue Level 0 or 1 (0 for even form, 1 for odd form) Fricke sign Fourier coefficient a_1(should be = 1), error bound Fourier coefficient a_2, error bound . . . If the Fricke sign is 0 then it means the code didn't have enough precision to compute it. In this case, the a_n for \(gcd(n,N) &gt; 1\) have been assigned zero as a placeholder. The Fourier coefficients a_n with \(gcd(n,N) = 1\) will be correct though.
DOI: 10.25921/a7ch-ne39
title: Reson7125 Water Column Sonar Data Collected During NF1706
DOI: 10.34740/kaggle/ds/2498215
title: Global Poverty and Inequality Data