cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17188/1323808
title: Materials Data on LaMgTaCrO6 (SG:7) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1323809
title: Materials Data on HoTi2ZnO6 (SG:31) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1323811
title: Materials Data on Ba2YCo2F11 (SG:145) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1323812
title: Materials Data on Ca(SnO2)2 (SG:1) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1323813
title: Materials Data on LaMgCrCuO6 (SG:7) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1323814
title: Materials Data on CaLaMnCrO6 (SG:7) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1323815
title: Materials Data on HoMg(SnO3)2 (SG:31) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1323816
title: Materials Data on Mg(FeO2)2 (SG:156) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1323817
title: Materials Data on LaZnCrBiO6 (SG:7) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1323818
title: Materials Data on MgCr2O4 (SG:156) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1323819
title: Materials Data on LaMgCrSnO6 (SG:7) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1323820
title: Materials Data on LaZnCrCuO6 (SG:7) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1323821
title: Materials Data on CaHoTi2O6 (SG:31) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1323822
title: Materials Data on HoZn(BiO3)2 (SG:31) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1323823
title: Materials Data on MgSn2P2O9 (SG:62) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1323824
title: Materials Data on CaHo(SbO3)2 (SG:31) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1323825
title: Materials Data on FePO4 (SG:5) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1323826
title: Materials Data on HoZn(SbO3)2 (SG:31) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1323827
title: Materials Data on Ba2Mn2F11 (SG:145) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17632/6jkzdxxz3j.1
title: Data for: The influence of syngenetic hydrothermal silica fluid on organic matter preservation in lower Cambrian Niutitang Formation, South China

description: Elemental composition of chert-shale intervals of lower Cambrian source rocks.
DOI: 10.6084/m9.figshare.14522442
title: VERSIÓN DE PRUEBA Desarrollo cronológica de las Herramientas de Autor de GeoGebra

description: Desarrollo cronológica de las Herramientas de Autor de GeoGebra, utilizado como datos para el análisis de la construcción social de las herramientas de Autor de GeoGebra, específicamente para el Nivel 1 sobre la descripción de la flexibilidad interpretativa de la tecnología digital estudiada.
DOI: 10.6084/m9.figshare.14522442.v2
title: VERSIÓN DE PRUEBA Desarrollo cronológica de las Herramientas de Autor de GeoGebra

description: Desarrollo cronológica de las Herramientas de Autor de GeoGebra, utilizado como datos para el análisis de la construcción social de las herramientas de Autor de GeoGebra, específicamente para el Nivel 1 sobre la descripción de la flexibilidad interpretativa de la tecnología digital estudiada.
DOI: 10.6084/m9.figshare.14522442.v1
title: Desarrollo cronológica de las Herramientas de Autor de GeoGebra

description: Desarrollo cronológica de las Herramientas de Autor de GeoGebra, utilizado como datos para el análisis de la construcción social de las herramientas de Autor de GeoGebra, específicamente para el Nivel 1 sobre la descripción de la flexibilidad interpretativa de la tecnología digital estudiada.
DOI: 10.6084/m9.figshare.14522382.v1
title: Desarrollo cronológica de las Herramientas de Autor de GeoGebra

description: Desarrollo cronológica de las Herramientas de Autor de GeoGebra, utilizado como datos para el análisis de la construcción social de las herramientas de Autor de GeoGebra, específicamente para el Nivel 1 sobre la descripción de la flexibilidad interpretativa de la tecnología digital estudiada.
DOI: 10.5281/zenodo.4731176
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.6084/m9.figshare.14524311
title: Tables_Iron ore

description: Main characteristics of the analyzed samples from archaeological sites and ore depositsLA-ICP-MS and Pb-Sr data for iron ores from archaeological site and ore deposit<br>
DOI: 10.6084/m9.figshare.14524311.v2
title: Tables_Iron ore

description: Main characteristics of the analyzed samples from archaeological sites and ore depositsLA-ICP-MS and Pb-Sr data for iron ores from archaeological site and ore deposit<br>
DOI: 10.6084/m9.figshare.14524311.v1
title: LA-ICP-MS and Pb-Sr data for iron ores from archaeological site and ore deposit

description: Main characteristics of the analyzed samples from archaeological sites and ore depositsLA-ICP-MS and Pb-Sr data for iron ores from archaeological site and ore deposit<br>
DOI: 10.6084/m9.figshare.14482896
title: dataset.zip

description: Input data for energy disaggregation algorithm
DOI: 10.6084/m9.figshare.14524320
title: Gene database of Danio rerio

description: <i>Danio rerio</i> (also known as zebrafish) is a commonly used vertebrate model organism in drug development, and in studies of tissue regeneration. More importantly, transgenic versions of the organism are available for use in experiments seeking to correlate genetic endowment with observable phenotypes. This work sought to provide fundamental information about <i>D. rerio</i> by parsing its annotated genome information downloaded from GenBank through an in-house MATLAB genome analysis software. Comprising gene name, gene function, and gene sequence of all genes in the genome of <i>D. rerio</i>, the dataset should find use in guiding genetics experiments seeking to correlate genetic endowment with phenotypes.
DOI: 10.6084/m9.figshare.14524326
title: Dataset for study on pesticide exposure and rhinitis in Phitsanulok Thailand

description: This dataset contains all data for study on pesticide exposure and rhinitis<br>
DOI: 10.6084/m9.figshare.14524335
title: Questionnaire-pesticide and rhinitis-Thailand

description: Questionnaire for data collection on the study of pesticide exposure and rhinitis<br>
DOI: 10.6084/m9.figshare.14524335.v1
title: Questionnaire-pesticide and rhinitis-Thailand

description: Questionnaire for data collection on the study of pesticide exposure and rhinitis<br>
DOI: 10.5281/zenodo.4731105
title: Turbulence dissipation rate estimated from Doppler Lidar measurements during LAPSE-RATE

description: This dataset includes turbulence dissipation rate estimated from the University of Colorado Windcube v1 lidars and the University of Oklahoma Halo Streamline scanning Doppler Lidar during the 2018 LAPSE-RATE (Lower Atmospheric Profiling Studies at Elevation - a Remotely-piloted Aircraft Team Experiment) field campaign.This campaign took place in the San Luis Valley of Colorado between 14-21 July, 2018. On 14 July, both Windcube lidars were co-located at the Saguache site for intercomparison. WC49 (here named DPLR2) was moved to the Moffat School site late in the day on the 14th, where the Halo Streamline was deployed. Bad or missing data is set to -9999.9 for variable fields.
DOI: 10.5281/zenodo.4399966
title: Turbulence dissipation rate estimated from Doppler Lidar measurements during LAPSE-RATE

description: This dataset includes turbulence dissipation rate estimated from the University of Colorado Windcube v1 lidars and the University of Oklahoma Halo Streamline scanning Doppler Lidar during the 2018 LAPSE-RATE (Lower Atmospheric Profiling Studies at Elevation - a Remotely-piloted Aircraft Team Experiment) field campaign.This campaign took place in the San Luis Valley of Colorado between 14-21 July, 2018. On 14 July, both Windcube lidars were co-located at the Saguache site for intercomparison. WC49 (here named DPLR2) was moved to the Moffat School site late in the day on the 14th, where the Halo Streamline was deployed. Bad or missing data is set to -9999.9 for variable fields.
DOI: 10.5281/zenodo.4731207
title: R2D Tool Example E6Shakemap

description: R2D Tool Example E6Shakemap
DOI: 10.34740/kaggle/dsv/2179013
title: Ford_GoBike_TripData_2018
DOI: 10.5281/zenodo.4730371
title: July 2020's flood database in the Taquari-Antas river basin / Banco de dados da inundação de julho de 2020 na bacia do rio Taquari-Antas

description: This dataset contains points demarcated through non-systematic data from videos and images recorded during the July 2020 flood in the Taquari-Antas river basin. Flood mapping simulated with the hydrological MGB model (https://www.ufrgs.br/hge/mgb/) is also presented, for the 8th, 9th and 12th of July 2020, the same dates as the non-systematic data obtained. The regional model used had its hydrodynamic module calibrated using non-systematic information and validated using systematic information from fluviometric stations in the region. The simulated flood mapping (raster .tif files) with the Manning coefficients (n) of 0.030 and 0.045 are valid for the entire hydrographic basin of the Taquari-Antas River. But the demarcated points (shapefile .shp files) are found only in the Vale do Taquari region. For further details please contact Bruna Baggio Giordani at 'brunagiordani2@gmail.com' ---- Este conjunto de dados contém pontos demarcados através de dados não sistemáticos de vídeos e imagens registrados durante a inundação de julho de 2020 na bacia do rio Taquari-Antas. Também são apresentadas as manchas de inundação simuladas com o modelo hidrológico MGB (https://www.ufrgs.br/hge/mgb/) para os dias 08, 09 e 12 de julho de 2020, mesmas datas que os dados não sistemáticos obtidos. O modelo regional utilizado teve seu módulo hidrodinâmico calibrado utilizando as informações não sistemáticas e validado utilizando informações sistemáticas das estações fluviométricas da região. As manchas de inundação simuladas (arquivos raster .tif) com os coeficientes de Manning (n) de 0,030 e 0,045 são válidas para toda bacia hidrográfica do rio Taquari-Antas. Mas os pontos demarcados (arquivos shapefile .shp) se encontram somente na região do Vale do Taquari. Para obter mais detalhes, entre em contato com Bruna Baggio Giordani em 'brunagiordani2@gmail.com'
DOI: 10.5281/zenodo.4730370
title: July 2020's flood database in the Taquari-Antas river basin / Banco de dados da inundação de julho de 2020 na bacia do rio Taquari-Antas

description: This dataset contains points demarcated through non-systematic data from videos and images recorded during the July 2020 flood in the Taquari-Antas river basin. Flood mapping simulated with the hydrological MGB model (https://www.ufrgs.br/hge/mgb/) is also presented, for the 8th, 9th and 12th of July 2020, the same dates as the non-systematic data obtained. The regional model used had its hydrodynamic module calibrated using non-systematic information and validated using systematic information from fluviometric stations in the region. The simulated flood mapping (raster .tif files) with the Manning coefficients (n) of 0.030 and 0.045 are valid for the entire hydrographic basin of the Taquari-Antas River. But the demarcated points (shapefile .shp files) are found only in the Vale do Taquari region. For further details please contact Bruna Baggio Giordani at 'brunagiordani2@gmail.com' ---- Este conjunto de dados contém pontos demarcados através de dados não sistemáticos de vídeos e imagens registrados durante a inundação de julho de 2020 na bacia do rio Taquari-Antas. Também são apresentadas as manchas de inundação simuladas com o modelo hidrológico MGB (https://www.ufrgs.br/hge/mgb/) para os dias 08, 09 e 12 de julho de 2020, mesmas datas que os dados não sistemáticos obtidos. O modelo regional utilizado teve seu módulo hidrodinâmico calibrado utilizando as informações não sistemáticas e validado utilizando informações sistemáticas das estações fluviométricas da região. As manchas de inundação simuladas (arquivos raster .tif) com os coeficientes de Manning (n) de 0,030 e 0,045 são válidas para toda bacia hidrográfica do rio Taquari-Antas. Mas os pontos demarcados (arquivos shapefile .shp) se encontram somente na região do Vale do Taquari. Para obter mais detalhes, entre em contato com Bruna Baggio Giordani em 'brunagiordani2@gmail.com'
DOI: 10.6084/m9.figshare.14524377
title: Additional file 1 of Development of a new quantitative structure–activity relationship model for predicting Ames mutagenicity of food flavor chemicals using StarDrop™ auto-Modeller™

description: Additional file 1: Raw data for the Ames tests.
DOI: 10.6084/m9.figshare.14524377.v1
title: Additional file 1 of Development of a new quantitative structure–activity relationship model for predicting Ames mutagenicity of food flavor chemicals using StarDrop™ auto-Modeller™

description: Additional file 1: Raw data for the Ames tests.
DOI: 10.6084/m9.figshare.14524426
title: Additional file 1 of FMRP attenuates activity dependent modifications in the mitochondrial proteome

description: Additional file 1: Table S1. Proteome hits sensitive to activity deprivation and Fmr1−/y quantified by TMT mass spectrometry.
DOI: 10.6084/m9.figshare.14524429.v1
title: Additional file 2 of FMRP attenuates activity dependent modifications in the mitochondrial proteome

description: Additional file 2: Table S2. Ontological analyses of the proteome sensitive to activity deprivation and Fmr1−/y.
DOI: 10.6084/m9.figshare.14524426.v1
title: Additional file 1 of FMRP attenuates activity dependent modifications in the mitochondrial proteome

description: Additional file 1: Table S1. Proteome hits sensitive to activity deprivation and Fmr1−/y quantified by TMT mass spectrometry.
DOI: 10.6084/m9.figshare.14524429
title: Additional file 2 of FMRP attenuates activity dependent modifications in the mitochondrial proteome

description: Additional file 2: Table S2. Ontological analyses of the proteome sensitive to activity deprivation and Fmr1−/y.
DOI: 10.6084/m9.figshare.14524413
title: Additional file 1 of Exploring the evolutionary characteristics between cultivated tea and its wild relatives using complete chloroplast genomes

description: Additional file 1: Table S1. Comparative analysis of nucleotide variability (Pi) values among the Chinese cultivated type, Assam cultivated type and wild type
DOI: 10.6084/m9.figshare.14524413.v1
title: Additional file 1 of Exploring the evolutionary characteristics between cultivated tea and its wild relatives using complete chloroplast genomes

description: Additional file 1: Table S1. Comparative analysis of nucleotide variability (Pi) values among the Chinese cultivated type, Assam cultivated type and wild type
DOI: 10.6084/m9.figshare.14524416
title: Additional file 2 of Exploring the evolutionary characteristics between cultivated tea and its wild relatives using complete chloroplast genomes

description: Additional file 2: Table S2. Single nucleotide polymorphism (SNP) and insertion/deletion (indel) information from comparisons among C. sinensis var. sinensis, C. sinensis var. sinensis cv. Longjing43 and C. sinensis var. sinensis cv. Anhua
DOI: 10.6084/m9.figshare.14524416.v1
title: Additional file 2 of Exploring the evolutionary characteristics between cultivated tea and its wild relatives using complete chloroplast genomes

description: Additional file 2: Table S2. Single nucleotide polymorphism (SNP) and insertion/deletion (indel) information from comparisons among C. sinensis var. sinensis, C. sinensis var. sinensis cv. Longjing43 and C. sinensis var. sinensis cv. Anhua
DOI: 10.6084/m9.figshare.14524419
title: Additional file 3 of Exploring the evolutionary characteristics between cultivated tea and its wild relatives using complete chloroplast genomes

description: Additional file 3: Table S3. Single nucleotide polymorphism (SNP) and insertion/deletion (indel) information from comparisons between C. sinensis var. assamica and C. sinensis var. sinensis assamica cv. Yunkang10
DOI: 10.6084/m9.figshare.14524422
title: Additional file 4 of Exploring the evolutionary characteristics between cultivated tea and its wild relatives using complete chloroplast genomes

description: Additional file 4: Table S4. Nonsynonymous nucleotide substitution (Ka) and synonymous nucleotide substitution (Ks) rates, as well as the Ka/Ks ratio of homologous protein-coding genes from C. sinensis var. sinensis, C. sinensis var. sinensis cv. Longjing43 and C. sinensis var. sinensis cv. Anhua
DOI: 10.6084/m9.figshare.14524422.v1
title: Additional file 4 of Exploring the evolutionary characteristics between cultivated tea and its wild relatives using complete chloroplast genomes

description: Additional file 4: Table S4. Nonsynonymous nucleotide substitution (Ka) and synonymous nucleotide substitution (Ks) rates, as well as the Ka/Ks ratio of homologous protein-coding genes from C. sinensis var. sinensis, C. sinensis var. sinensis cv. Longjing43 and C. sinensis var. sinensis cv. Anhua
DOI: 10.6084/m9.figshare.14524419.v1
title: Additional file 3 of Exploring the evolutionary characteristics between cultivated tea and its wild relatives using complete chloroplast genomes

description: Additional file 3: Table S3. Single nucleotide polymorphism (SNP) and insertion/deletion (indel) information from comparisons between C. sinensis var. assamica and C. sinensis var. sinensis assamica cv. Yunkang10
DOI: 10.6084/m9.figshare.14524425
title: Additional file 5 of Exploring the evolutionary characteristics between cultivated tea and its wild relatives using complete chloroplast genomes

description: Additional file 5: Table S5. Nonsynonymous nucleotide substitution (Ka) and synonymous nucleotide substitution (Ks) rates, as well as the Ka/Ks ratio of homologous protein-coding genes from C. sinensis var. assamica and C. sinensis var. sinensis assamica cv. Yunkang10
DOI: 10.6084/m9.figshare.14524425.v1
title: Additional file 5 of Exploring the evolutionary characteristics between cultivated tea and its wild relatives using complete chloroplast genomes

description: Additional file 5: Table S5. Nonsynonymous nucleotide substitution (Ka) and synonymous nucleotide substitution (Ks) rates, as well as the Ka/Ks ratio of homologous protein-coding genes from C. sinensis var. assamica and C. sinensis var. sinensis assamica cv. Yunkang10
DOI: 10.6084/m9.figshare.14524431.v1
title: Additional file 7 of Exploring the evolutionary characteristics between cultivated tea and its wild relatives using complete chloroplast genomes

description: Additional file 7: Table S7. The best substitution models in the phylogenetic analysis of Camellia
DOI: 10.6084/m9.figshare.14524428.v1
title: Additional file 6 of Exploring the evolutionary characteristics between cultivated tea and its wild relatives using complete chloroplast genomes

description: Additional file 6: Table S6. Positive selection sites identified among 16 genes with synonymous or nonsynonymous mutations
DOI: 10.6084/m9.figshare.14524431
title: Additional file 7 of Exploring the evolutionary characteristics between cultivated tea and its wild relatives using complete chloroplast genomes

description: Additional file 7: Table S7. The best substitution models in the phylogenetic analysis of Camellia