cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17188/1680936
title: Materials Data on CaGaH5 by Materials Project

description: CaGaH5 crystallizes in the monoclinic P2_1 space group. The structure is three-dimensional. Ca2+ is bonded to seven H1- atoms to form distorted CaH7 pentagonal bipyramids that share corners with two equivalent CaH7 pentagonal bipyramids, corners with four equivalent GaH4 tetrahedra, and edges with two equivalent CaH7 pentagonal bipyramids. There are a spread of Ca–H bond distances ranging from 2.27–2.34 Å. Ga3+ is bonded to four H1- atoms to form GaH4 tetrahedra that share corners with four equivalent CaH7 pentagonal bipyramids. There is two shorter (1.59 Å) and two longer (1.60 Å) Ga–H bond length. There are five inequivalent H1- sites. In the first H1- site, H1- is bonded in a bent 150 degrees geometry to one Ca2+ and one Ga3+ atom. In the second H1- site, H1- is bonded in a distorted trigonal non-coplanar geometry to three equivalent Ca2+ atoms. In the third H1- site, H1- is bonded in a bent 150 degrees geometry to one Ca2+ and one Ga3+ atom. In the fourth H1- site, H1- is bonded in a bent 120 degrees geometry to one Ca2+ and one Ga3+ atom. In the fifth H1- site, H1- is bonded in a distorted bent 120 degrees geometry to one Ca2+ and one Ga3+ atom.
DOI: 10.5281/zenodo.7343022
title: penguinlibros_esp_catalog

description: Dataset created by webscrapping penguinlibros website for a delivery of the subject "tipología y ciclo de vida de los datos" of the "universidad oberta de catalunya". Contains information about a list of books listed in the website.
DOI: 10.5281/zenodo.7343021
title: penguinlibros_esp_catalog

description: Dataset created by webscrapping penguinlibros website for a delivery of the subject "tipología y ciclo de vida de los datos" of the "universidad oberta de catalunya". Contains information about a list of books listed in the website.
DOI: 10.34943/5e136be9-d422-4cef-a893-dc7208f3da89
title: Strait of Georgia Oceanographic Radar System Deployed 2016-03-23

description: The Strait of Georgia CODAR Array was deployed on 2016-03-23 at Strait of Georgia. Strait of Georgia is located between Vancouver Island and the mainland of British Columbia. There are many narrow channels and islands in this region. Located at the south end are the Gulf Islands and San Juan Islands. The Discovery Islands and Discovery Passage are located at the north end. This device is a Oceanographic Radar System. Oceanographic radars measure the ocean surface currents and waves in near real-time, by timing reflected radio waves, and contribute to an accurate prediction of severe weather conditions. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.25810/sjvq-tw23
title: CMIP6 derived ensemble of global vapor pressure deficit, potential evapotranspiration, and reference evapotranspiration

description: Climate change induced trends in long-term aridity—via changes to atmospheric water demand for have the potential to impact surface water availability across the globe by altering efficiency by which precipitation is converted to runoff. Quantification of aridity requires estimates of evaporative demand, often using vapor pressure deficit, potential evapotranspiration, and/or reference evapotranspiration, but no comprehensive estimate of these climate variables exists to date from the Coupled Model Intercomparison Project 6 (CMIP6). Here we present global monthly estimates of the Penman-Monteith short grass reference evapotranspiration, its advective and radiation components, Priestley-Taylor potential evapotranspiration, and vapor pressure deficit from 16 CMIP6 general circulation models (GCM) for the historical period and four future emission scenarios ranging from low to high projected emissions. The purpose of this dataset is to offer structured and well-documented estimates of historical and future projected evaporative demand derived from the state-of-the-science CMIP6 climate models for use in hydrologic and ecological analyses. We produce a single file for all monthly values of each variable for individual GCM/emission scenario combination gridded at the given GCMs native resolution. Produced alongside all of the files are descriptions of each of the variables and generated python scripts that contain the functions used to estimate vapor pressure deficit, potential evapotranspiration, and reference evapotranspiration.
DOI: 10.5281/zenodo.6818109
title: Data and supplementary files for: Directing Min protein patterns with advective bulk flow

description: Simulation files as well as experiment data and analysis for the paper "Directing Min protein patterns with advective bulk flow".
DOI: 10.5281/zenodo.7337907
title: instantGamingProductInformation

description: Dataset de ejemplo para una fecha concreta 2022-11-19 sobre la práctica 1 de la asignatura tipología de datos del master de data science de la UOC.
DOI: 10.5281/zenodo.7337906
title: instantGamingProductInformation

description: Dataset de ejemplo para una fecha concreta 2022-11-19 sobre la práctica 1 de la asignatura tipología de datos del master de data science de la UOC.
DOI: 10.5281/zenodo.7343339
title: instantGamingProductInformation

description: Dataset de ejemplo para una fecha concreta 2022-11-19 sobre la práctica 1 de la asignatura tipología de datos del master de data science de la UOC.
DOI: 10.5281/zenodo.7340782
title: Nike Sales Products

description: Extracció de dades de la pàgina de rebaixes de Nike, concretament: Nom dels productes Detalls dels productes Nº de colors disponibles dels productes Descompte dels productes Link del producte
DOI: 10.5281/zenodo.7340781
title: Nike Sales Products

description: Extracció de dades de la pàgina de rebaixes de Nike, concretament: Nom dels productes Detalls dels productes Nº de colors disponibles dels productes Descompte dels productes Link del producte
DOI: 10.5281/zenodo.7086233
title: Dataset used for: Effectiveness of Acute Malnutrition Treatment at Health Center and Community Level with a Simplified, Combined Protocol in Mali: An Observational Cohort Study

description: This dataset contains the variables used in the analysis of the body composition and outcomes of the Acute Malnutrition Treatment at Health Center and Community Level with a Simplified, Combined Protocol in Mali pilot study, from December 2018 to December 2021
DOI: 10.5281/zenodo.7343363
title: Dataset used for: Effectiveness of Acute Malnutrition Treatment at Health Center and Community Level with a Simplified, Combined Protocol in Mali: An Observational Cohort Study

description: This dataset contains the variables used in the analysis of the body composition and outcomes of the Acute Malnutrition Treatment at Health Center and Community Level with a Simplified, Combined Protocol in Mali pilot study, from December 2018 to December 2021
DOI: 10.5281/zenodo.7086232
title: Dataset used for: Effectiveness of Acute Malnutrition Treatment at Health Center and Community Level with a Simplified, Combined Protocol in Mali: An Observational Cohort Study

description: This dataset contains the variables used in the analysis of the body composition and outcomes of the Acute Malnutrition Treatment at Health Center and Community Level with a Simplified, Combined Protocol in Mali pilot study, from December 2018 to December 2021
DOI: 10.5281/zenodo.7339531
title: Last_fm_songs_2022

description: El dataset publicado contiene información acerca de las canciones más relevantes (<em>top tracks</em>) vinculadas a los principales géneros musicales de acuerdo a la plataforma de música Last.fm recogidas en noviembre de 2022. La información se ha recopilado mediante un proceso de web scraping que ha pretendido generar una base de datos con la información principal (nombre, artista, género, duranción, etc.) de cada una de las canciones más relevantes según la plataforma analizada.
DOI: 10.5281/zenodo.7339530
title: last_fm_top_songs_2022

description: El dataset publicado contiene información acerca de las canciones más relevantes (<em>top tracks</em>) vinculadas a los principales géneros musicales de acuerdo a la plataforma de música Last.fm recogidas en noviembre de 2022. La información se ha recopilado mediante un proceso de web scraping que ha pretendido generar una base de datos con la información principal (nombre, artista, género, duranción, etc.) de cada una de las canciones más relevantes según la plataforma analizada.
DOI: 10.5281/zenodo.7343370
title: last_fm_top_songs_2022

description: El dataset publicado contiene información acerca de las canciones más relevantes (<em>top tracks</em>) vinculadas a los principales géneros musicales de acuerdo a la plataforma de música Last.fm recogidas en noviembre de 2022. La información se ha recopilado mediante un proceso de web scraping que ha pretendido generar una base de datos con la información principal (nombre, artista, género, duranción, etc.) de cada una de las canciones más relevantes según la plataforma analizada.
DOI: 10.3886/e113192v1-43568
title: Replication data for: Disrupting Education? Experimental Evidence on Technology-Aided Instruction in India

description: We study the impact of a personalized technology-aided after-school instruction program in middle-school grades in urban India using a lottery that provided winners with free access to the program. Lottery winners scored 0.37 sigma higher in math and 0.23 sigma higher in Hindi over just a 4.5-month period. IV estimates suggest that attending the program for 90 days would increase math and Hindi test scores by 0.6 sigma and 0.39 sigma respectively. We find similar absolute test score gains for all students, but much greater relative gains for academically-weaker students. Our results suggest that well-designed, technology-aided instruction programs can sharply improve productivity in delivering education.
DOI: 10.3886/e113192
title: Replication data for: Disrupting Education? Experimental Evidence on Technology-Aided Instruction in India

description: We study the impact of a personalized technology-aided after-school instruction program in middle-school grades in urban India using a lottery that provided winners with free access to the program. Lottery winners scored 0.37 sigma higher in math and 0.23 sigma higher in Hindi over just a 4.5-month period. IV estimates suggest that attending the program for 90 days would increase math and Hindi test scores by 0.6 sigma and 0.39 sigma respectively. We find similar absolute test score gains for all students, but much greater relative gains for academically-weaker students. Our results suggest that well-designed, technology-aided instruction programs can sharply improve productivity in delivering education.
DOI: 10.3886/e113192v1
title: Replication data for: Disrupting Education? Experimental Evidence on Technology-Aided Instruction in India

description: We study the impact of a personalized technology-aided after-school instruction program in middle-school grades in urban India using a lottery that provided winners with free access to the program. Lottery winners scored 0.37 sigma higher in math and 0.23 sigma higher in Hindi over just a 4.5-month period. IV estimates suggest that attending the program for 90 days would increase math and Hindi test scores by 0.6 sigma and 0.39 sigma respectively. We find similar absolute test score gains for all students, but much greater relative gains for academically-weaker students. Our results suggest that well-designed, technology-aided instruction programs can sharply improve productivity in delivering education.
DOI: 10.3886/e113192v1-22065
title: Replication data for: Disrupting Education? Experimental Evidence on Technology-Aided Instruction in India

description: We study the impact of a personalized technology-aided after-school instruction program in middle-school grades in urban India using a lottery that provided winners with free access to the program. Lottery winners scored 0.37 sigma higher in math and 0.23 sigma higher in Hindi over just a 4.5-month period. IV estimates suggest that attending the program for 90 days would increase math and Hindi test scores by 0.6 sigma and 0.39 sigma respectively. We find similar absolute test score gains for all students, but much greater relative gains for academically-weaker students. Our results suggest that well-designed, technology-aided instruction programs can sharply improve productivity in delivering education.
DOI: 10.3886/e113192v2
title: Replication data for: Disrupting Education? Experimental Evidence on Technology-Aided Instruction in India

description: We study the impact of a personalized technology-aided after-school instruction program in middle-school grades in urban India using a lottery that provided winners with free access to the program. Lottery winners scored 0.37 sigma higher in math and 0.23 sigma higher in Hindi over just a 4.5-month period. IV estimates suggest that attending the program for 90 days would increase math and Hindi test scores by 0.6 sigma and 0.39 sigma respectively. We find similar absolute test score gains for all students, but much greater relative gains for academically-weaker students. Our results suggest that well-designed, technology-aided instruction programs can sharply improve productivity in delivering education.
DOI: 10.5281/zenodo.7325153
title: FRidge GA13 Organic Ligands CSV data

description: Competitive Ligand Exchange-Adsorptive Cathodic Stripping Voltammetry samples from 11 sites along the Mid-Atlantic Ridge. Samples were collected as part of the 2017-18 FRidge (GA 13) research expedition on board the RSS James Cook.
description: {"references": ["Gledhill, M. & Buck, K. N. The organic complexation of iron in the marine environment: A review. Front. Microbiol. 3, 1\u201317 (2012).", "Omanovi\u0107, D., Garnier, C. & Pi\u017eeta, I. ProMCC: An all-in-one tool for trace metal complexation studies. Mar. Chem. 173, 25\u201339 (2015)."]}
DOI: 10.5281/zenodo.7340663
title: KASUS DAN PENYELESAIAN PENGENDALIAN BAHAN BAKU_AKUNTANSI BIAYA_uNIVERSITAS GRESIK_JAM 20.00-21.30

description: <strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong> Untuk mengevaluasi atau mengukur kemampuan penyerapan materi <strong>Indikator Penilaian</strong> Ujian Lisan Ujian Tulis
description: KASUS DAN PENYELESAIAN PENGENDALIAN BAHAN BAKU_AKUNTANSI BIAYA_uNIVERSITAS GRESIK_JAM 20.00-21.30
DOI: 10.5281/zenodo.7340662
title: KASUS DAN PENYELESAIAN PENGENDALIAN BAHAN BAKU_AKUNTANSI BIAYA_uNIVERSITAS GRESIK_JAM 20.00-21.30

description: <strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong> Untuk mengevaluasi atau mengukur kemampuan penyerapan materi <strong>Indikator Penilaian</strong> Ujian Lisan Ujian Tulis
description: KASUS DAN PENYELESAIAN PENGENDALIAN BAHAN BAKU_AKUNTANSI BIAYA_uNIVERSITAS GRESIK_JAM 20.00-21.30
DOI: 10.5281/zenodo.7343400
title: Statistical Evolution of NBA (1950-2022) and WNBA (1997-2022)

description: This dataset contains a broad range of statistical data from every team since the very beginning of the NBA (1950) and WNBA (1997) obtained from Basketball Reference.
DOI: 10.5281/zenodo.7343399
title: Statistical Evolution of NBA (1950-2022) and WNBA (1997-2022)

description: This dataset contains a broad range of statistical data from every team since the very beginning of the NBA (1950) and WNBA (1997) obtained from Basketball Reference.
DOI: 10.5281/zenodo.7339484
title: Datasets related to paper "Crustal structure and fault geometries of the Garhwal Himalaya, India: Insight from new high-resolution gravity data modeling and PSO inversion"

description: The files include Satellite gravity data, topography and earthquake data used in the paper "Crustal structure and fault geometries of the Garhwal Himalaya, India: Insight from new high-resolution gravity data modeling and PSO inversion" by Chamoli A., Rana S., Dwivedi D., Pandey A.K.. This has been submitted to Journal of Geophysical Research: Solid Earth. Restrictions applied to the availability of the land gravity data set.
DOI: 10.5281/zenodo.7339483
title: Datasets related to paper "Crustal structure and fault geometries of the Garhwal Himalaya, India: Insight from new high-resolution gravity data modeling and PSO inversion"

description: The files include Satellite gravity data, topography and earthquake data used in the paper "Crustal structure and fault geometries of the Garhwal Himalaya, India: Insight from new high-resolution gravity data modeling and PSO inversion" by Chamoli A., Rana S., Dwivedi D., Pandey A.K.. This has been submitted to Journal of Geophysical Research: Solid Earth. Restrictions applied to the availability of the land gravity data set.
DOI: 10.5281/zenodo.7337891
title: Dataset Literatur Riview on Cyberlaw and online ads

description: Ini merupakan aset dari artikel rivew cyberlaw and online ads
DOI: 10.5281/zenodo.7337890
title: Dataset Literatur Riview on Cyberlaw and online ads

description: Ini merupakan aset dari artikel rivew cyberlaw and online ads
DOI: 10.5281/zenodo.7335618
title: Evolution of the price of electricity and the renewable energy production in Spain

description: The dataset contains the evolution of electricity prices in Spain for the period 2020-11-01 to 2022-10-31. The average energy prices (in MWh) as a function of the market, the produced energy (in MW), as well as the renewable energy produced (in MW) by type (wind, solar, hydroelectric, etc.) are provided with a granularity of hours for the period of time mentioned above. The data has been obtained from the webpage: https://www.esios.ree.es/es/. <strong>Disclaimer: </strong>Express consent was provided by Red Eléctrica de España (source and proprietary of the data) to gather the data using web scraping under the framework of a practicum from the Master in Data Science from the Universitat Oberta de Catalunya (UOC). Under no circumstance do they support the reuse of the data. We express our intention to use the data for the purpose of the activity and decline any commercial interest in the use of the data extracted. The data is published under a license: <strong>CC BY-NC-SA 4.0.</strong>
DOI: 10.5281/zenodo.7335617
title: Evolution of the price of electricity and the renewable energy production in Spain

description: The dataset contains the evolution of electricity prices in Spain for the period 2020-11-01 to 2022-10-31. The average energy prices (in MWh) as a function of the market, the produced energy (in MW), as well as the renewable energy produced (in MW) by type (wind, solar, hydroelectric, etc.) are provided with a granularity of hours for the period of time mentioned above. The data has been obtained from the webpage: https://www.esios.ree.es/es/. <strong>Disclaimer: </strong>Express consent was provided by Red Eléctrica de España (source and proprietary of the data) to gather the data using web scraping under the framework of a practicum from the Master in Data Science from the Universitat Oberta de Catalunya (UOC). Under no circumstance do they support the reuse of the data. We express our intention to use the data for the purpose of the activity and decline any commercial interest in the use of the data extracted. The data is published under a license: <strong>CC BY-NC-SA 4.0.</strong>
DOI: 10.5281/zenodo.7340325
title: Large-scale Instance-diverse Synthetic COVID-19 CT Dataset

description: <strong>Dataset Description</strong> This dataset consists of 367000 synthetic COVID-19 CT images generated from a new GAN algorithm known as the stacked residual dropout GAN (sRD-GAN) [1]. The 367 input images are acquired from the iCTCF dataset [2] and are stored in 512 × 512 × 3 in .jpg format. The input images [2] and their corresponding synthetic images are included in this dataset. <strong>Stacked Residual Dropout GAN (sRD-GAN)</strong> The sRD-GAN utilizes a regularization-based strategy in an Image-to-Image (I2I) translation setting to facilitate instance-level diversity. In this study, we show that the stacked dropout regularization in the generator model can induce significant latent-space stochasticity which generates perceptually significant structural dissimilarity in the output space. Paper: Diverse COVID-19 CT Image-to-Image Translation with Stacked Residual Dropout DOI: 10.3390/bioengineering9110698 <strong>Advantages</strong> 1) High-resolution, diverse patterns of synthetic ground-glass-opacities presented in chest CT images with different anatomy. 2) Generalize across GAN-based models since the stacked residual dropout mechanism is not task- or dataset-specific. 3) Does not require any auxiliary condition to generate diverse outputs. 4) Does not require any non-trivial modification on the model's architectures. <strong>Disadvantages</strong> 1) Diversity is not presented in large perceptual differences, and it focuses only on fine-grained details. 2) Since sRD-GAN is trained in an unsupervised image-to-image setting, and the synthesis process does not require any auxiliary condition, thus, the magnitude of the style attributes (GGO features) cannot be manipulated. <strong>Acknowledgments: </strong> If you use this dataset in your research, please credit the author: [1] Lee, K.W.; Chin, R.K.Y. Diverse COVID-19 CT Image-to-Image Translation with Stacked Residual Dropout. <em>Bioengineering</em> <strong>2022</strong>, <em>9</em>, 698. https://doi.org/10.3390/bioengineering9110698 <strong>References: </strong> [2] Ning, W.; Lei, S.; Yang, J.; Cao, Y.; Jiang, P.; Yang, Q.; Zhang, J.; Wang, X.; Chen, F.; Geng, Z.; et al. Open resource of clinical data from patients with pneumonia for the prediction of COVID-19 outcomes via Deep Learning. Nat. Biomed. Eng. <strong>2020</strong>, 4, 1197–1207.
DOI: 10.5281/zenodo.7340326
title: Large-scale Instance-diverse Synthetic COVID-19 CT Dataset

description: <strong>Dataset Description</strong> This dataset consists of 367000 synthetic COVID-19 CT images generated from a new GAN algorithm known as the stacked residual dropout GAN (sRD-GAN) [1]. The 367 input images are acquired from the iCTCF dataset [2] and are stored in 512 × 512 × 3 in .jpg format. The input images [2] and their corresponding synthetic images are included in this dataset. <strong>Stacked Residual Dropout GAN (sRD-GAN)</strong> The sRD-GAN utilizes a regularization-based strategy in an Image-to-Image (I2I) translation setting to facilitate instance-level diversity. In this study, we show that the stacked dropout regularization in the generator model can induce significant latent-space stochasticity which generates perceptually significant structural dissimilarity in the output space. Paper: Diverse COVID-19 CT Image-to-Image Translation with Stacked Residual Dropout DOI: 10.3390/bioengineering9110698 <strong>Advantages</strong> 1) High-resolution, diverse patterns of synthetic ground-glass-opacities presented in chest CT images with different anatomy. 2) Generalize across GAN-based models since the stacked residual dropout mechanism is not task- or dataset-specific. 3) Does not require any auxiliary condition to generate diverse outputs. 4) Does not require any non-trivial modification on the model's architectures. <strong>Disadvantages</strong> 1) Diversity is not presented in large perceptual differences, and it focuses only on fine-grained details. 2) Since sRD-GAN is trained in an unsupervised image-to-image setting, and the synthesis process does not require any auxiliary condition, thus, the magnitude of the style attributes (GGO features) cannot be manipulated. <strong>Acknowledgments: </strong> If you use this dataset in your research, please credit the author: [1] Lee, K.W.; Chin, R.K.Y. Diverse COVID-19 CT Image-to-Image Translation with Stacked Residual Dropout. <em>Bioengineering</em> <strong>2022</strong>, <em>9</em>, 698. https://doi.org/10.3390/bioengineering9110698 <strong>References: </strong> [2] Ning, W.; Lei, S.; Yang, J.; Cao, Y.; Jiang, P.; Yang, Q.; Zhang, J.; Wang, X.; Chen, F.; Geng, Z.; et al. Open resource of clinical data from patients with pneumonia for the prediction of COVID-19 outcomes via Deep Learning. Nat. Biomed. Eng. <strong>2020</strong>, 4, 1197–1207.