cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34740/kaggle/dsv/5625872
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.22598455
title: Euclidean Quantum k-NN Data

description: Datasets, information needed to reproduce the experiments, and collected results data for the article <em>A quantum k-nearest neighbors algorithm based on the Euclidean distance estimation</em>. As explained in the article, the datasets and the results data for the baseline methods have been taken from the paper <em>Implementation and empirical evaluation of a quantum machine learning pipeline for local classification.</em> <br>
DOI: 10.6084/m9.figshare.22598455.v1
title: Euclidean Quantum k-NN Data

description: Datasets, information needed to reproduce the experiments, and collected results data for the article <em>A quantum k-nearest neighbors algorithm based on the Euclidean distance estimation</em>. As explained in the article, the datasets and the results data for the baseline methods have been taken from the paper <em>Implementation and empirical evaluation of a quantum machine learning pipeline for local classification.</em> <br>
DOI: 10.5281/zenodo.7901777
title: Data used to simulations in the GMD manuscript "Inter-comparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1) in eastern China"

description: This dataset contains input data of simulations by WRF-CMAQ, WRF-Chem and WRF-CHIMERE in the GMD manuscript "Inter-comparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1) in eastern China"
DOI: 10.5281/zenodo.7902707
title: Data used to simulations in the GMD manuscript "Inter-comparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1) in eastern China"

description: This dataset contains input data of simulations by WRF-CMAQ, WRF-Chem and WRF-CHIMERE in the GMD manuscript "Inter-comparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1) in eastern China", as follows: 1. WRF-CMAQ input data including emission, ICs and lateral BCs of meteorology and air quality: YYYYMM.zip represents the input data for each month for simulations. Due to the large size of the compressed file containing input data each month, there may be interruptions when uploading it to Zenodo. Therefore, we will split each compressed file into 50MB. If users want to browse the file, they can download the segmented files, and then merge them into the YYYYMM.zip file using the Linux command line "unzip 'YYYYMM.zip.*' -d combined"
DOI: 10.5281/zenodo.7903455
title: Data used to simulations in the GMD manuscript "Inter-comparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1) in eastern China"

description: This dataset contains input data of simulations by WRF-CMAQ, WRF-Chem and WRF-CHIMERE in the GMD manuscript "Inter-comparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1) in eastern China", as follows: 1. WRF-CMAQ input data including emission, ICs and lateral BCs of meteorology and air quality: YYYYMM.zip represents the input data for each month for simulations. Due to the large size of the compressed file containing input data each month, there may be interruptions when uploading it to Zenodo. Therefore, we will split each compressed file into 50MB. If users want to browse the file, they can download the segmented files, and then merge them into the YYYYMM.zip file using the Linux command line "unzip 'YYYYMM.zip.*' -d combined"
DOI: 10.5281/zenodo.7903466
title: Data used to simulations in the GMD manuscript "Inter-comparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1) in eastern China"

description: This dataset contains input data of simulations by WRF-CMAQ, WRF-Chem and WRF-CHIMERE in the GMD manuscript "Inter-comparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1) in eastern China", as follows: 1. WRF-CMAQ input data including emission, ICs and lateral BCs of meteorology and air quality: YYYYMM.zip represents the input data for each month for simulations. Due to the large size of the compressed file containing input data each month, there may be interruptions when uploading it to Zenodo. Therefore, we will split each compressed file into 50MB. If users want to browse the file, they can download the segmented files, and then merge them into the YYYYMM.zip file using the Linux command line "unzip 'YYYYMM.zip.*' -d combined"
DOI: 10.5281/zenodo.7903543
title: Data used to simulations in the GMD manuscript "Inter-comparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1) in eastern China"

description: This dataset contains input data of simulations by WRF-CMAQ, WRF-Chem and WRF-CHIMERE in the GMD manuscript "Inter-comparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1) in eastern China", as follows: 1. WRF-CMAQ input data including emission, ICs and lateral BCs of meteorology and air quality: YYYYMM.zip represents the input data for each month for simulations. Due to the large size of the compressed file containing input data each month, there may be interruptions when uploading it to Zenodo. Therefore, we will split each compressed file into 50MB. If users want to browse the file, they can download the segmented files, and then merge them into the YYYYMM.zip file using the Linux command line "unzip 'YYYYMM.zip.*' -d combined"
DOI: 10.5281/zenodo.7901776
title: Data used to simulations in the GMD manuscript "Inter-comparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1) in eastern China"

description: This dataset contains input data of simulations by WRF-CMAQ, WRF-Chem and WRF-CHIMERE in the GMD manuscript "Inter-comparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1) in eastern China", as follows: 1. WRF-CMAQ input data including emission, ICs and lateral BCs of meteorology and air quality: YYYYMM.zip represents the input data for each month for simulations. Due to the large size of the compressed file containing input data each month, there may be interruptions when uploading it to Zenodo. Therefore, we will split each compressed file into 50MB. If users want to browse the file, they can download the segmented files, and then merge them into the YYYYMM.zip file using the Linux command line "unzip 'YYYYMM.zip.*' -d combined"
DOI: 10.5281/zenodo.7904700
title: Identifying Chern numbers of superconductors from local measurements

description: This repository contains the following: 1. Data for Fig.1b phase_diagram_gap_and_kf_in_0.1_12_e0_in_-0.8_0.8.txt 2. Data for Fig.6a Chern_marker_scaling_vs_N_x_abs_C.1_kf_3.67900_e0_0.35400_gap0_0.30374_bandwidth_1.70100.txt Chern_marker_scaling_vs_N_x_abs_C.2_kf_2.87600_e0_0.28800_gap0_0.13449_bandwidth_1.56362.txt Chern_marker_scaling_vs_N_x_abs_C.3_kf_3.48700_e0_0.16200_gap0_0.15893_bandwidth_1.34522.txt 3. Data for Fig.6b Chern_marker_scaling_vs_V_0_abs_C.1_gap_balanced_aver.0.2192_kf_3.67900_e0_0.35400_gap0_0.30374_bandwidth_1.70100.txt Chern_marker_scaling_vs_V_0_abs_C.2_gap_balanced_aver.0.2192_kf_2.87600_e0_0.28800_gap0_0.13449_bandwidth_1.56362.txt Chern_marker_scaling_vs_V_0_abs_C.3_gap_balanced_aver.0.2192_kf_3.48700_e0_0.16200_gap0_0.15893_bandwidth_1.34522.txt 4. Shiba model test dataset Shiba_lattice_dataset.json
DOI: 10.5281/zenodo.7904699
title: Identifying Chern numbers of superconductors from local measurements

description: This repository contains the following: 1. Data for Fig.1b phase_diagram_gap_and_kf_in_0.1_12_e0_in_-0.8_0.8.txt 2. Data for Fig.6a Chern_marker_scaling_vs_N_x_abs_C.1_kf_3.67900_e0_0.35400_gap0_0.30374_bandwidth_1.70100.txt Chern_marker_scaling_vs_N_x_abs_C.2_kf_2.87600_e0_0.28800_gap0_0.13449_bandwidth_1.56362.txt Chern_marker_scaling_vs_N_x_abs_C.3_kf_3.48700_e0_0.16200_gap0_0.15893_bandwidth_1.34522.txt 3. Data for Fig.6b Chern_marker_scaling_vs_V_0_abs_C.1_gap_balanced_aver.0.2192_kf_3.67900_e0_0.35400_gap0_0.30374_bandwidth_1.70100.txt Chern_marker_scaling_vs_V_0_abs_C.2_gap_balanced_aver.0.2192_kf_2.87600_e0_0.28800_gap0_0.13449_bandwidth_1.56362.txt Chern_marker_scaling_vs_V_0_abs_C.3_gap_balanced_aver.0.2192_kf_3.48700_e0_0.16200_gap0_0.15893_bandwidth_1.34522.txt 4. Shiba model test dataset Shiba_lattice_dataset.json
DOI: 10.6084/m9.figshare.22776425
title: Alfalfa Bulked Segregant Analysis data for Phenotype, Genotype and Covariates used in the study

description: Alfalfa exome capture sequencing data containing phenotype file for Plant Growth vigor, Genotype file with 588,136 markers for Plant Growth Vigor and The covariates used in the final GWAS analysis which included locations, generations, pool and group information.
DOI: 10.6084/m9.figshare.22776425.v1
title: Alfalfa Bulked Segregant Analysis data for Phenotype, Genotype and Covariates used in the study

description: Alfalfa exome capture sequencing data containing phenotype file for Plant Growth vigor, Genotype file with 588,136 markers for Plant Growth Vigor and The covariates used in the final GWAS analysis which included locations, generations, pool and group information.
DOI: 10.5281/zenodo.7897541
title: Global Meteor Network observations of Crew-5 Dragon trunk re-entry 2023-04-27

description: This dataset contains video observations by some stations of the Global Meteor Network of the re-entry of the Crew-5 dragon trunk above Arizona on 2023-04-27 around 08:52 UTC. There are several types of files: FF files: these are 10.24 second videos compressed in the four-frame format. They are just FITS files with four frames, containing per pixel 1) the maximum value over 256 frames 2) the frame nr (between 0 and 255) where the maximum occurred 3) the mean value of all 256 frames and 4) the RMS of the 256 values. FR files: compressed video recordings of detected fireballs. These can be read with the RMS software. MP4 files: rendered movies of combined FF and FR files for one station (more can be made with FR_binviewer from RMS software). Platepar-files: these contain astrometry corresponding to the FITS files. These can be interpreted by the RMS software. ECSV files: these contain manually picked points (with SkyFit2.py from RMS) along the track of the reentry. For each point, time and apparent coordinates are recorded. These files can be interpreted by the WesternMeteorPyLib trajectory solver. trajectory-points.txt: solutions from the trajectory solver. reentry-map-v4.png: a rendered map of the trajectory (made in QGIS). compilation.png: rendered version of the FF-files of most stations. The files can be processed with the software in https://github.com/CroatianMeteorNetwork/RMS and https://github.com/wmpg/WesternMeteorPyLib.
description: {"references": ["Vida, Denis et al. (2021). The Global Meteor Network \u2013 Methodology and first results. https://doi.org/10.1093/mnras/stab2008"]}
DOI: 10.5281/zenodo.7897540
title: Global Meteor Network observations of Crew-5 Dragon trunk re-entry 2023-04-27

description: This dataset contains video observations by some stations of the Global Meteor Network of the re-entry of the Crew-5 dragon trunk above Arizona on 2023-04-27 around 08:52 UTC. There are several types of files: FF files: these are 10.24 second videos compressed in the four-frame format. They are just FITS files with four frames, containing per pixel 1) the maximum value over 256 frames 2) the frame nr (between 0 and 255) where the maximum occurred 3) the mean value of all 256 frames and 4) the RMS of the 256 values. FR files: compressed video recordings of detected fireballs. These can be read with the RMS software. MP4 files: rendered movies of combined FF and FR files for one station (more can be made with FR_binviewer from RMS software). Platepar-files: these contain astrometry corresponding to the FITS files. These can be interpreted by the RMS software. ECSV files: these contain manually picked points (with SkyFit2.py from RMS) along the track of the reentry. For each point, time and apparent coordinates are recorded. These files can be interpreted by the WesternMeteorPyLib trajectory solver. trajectory-points.txt: solutions from the trajectory solver. reentry-map-v4.png: a rendered map of the trajectory (made in QGIS). compilation.png: rendered version of the FF-files of most stations. The files can be processed with the software in https://github.com/CroatianMeteorNetwork/RMS and https://github.com/wmpg/WesternMeteorPyLib.
description: {"references": ["Vida, Denis et al. (2021). The Global Meteor Network \u2013 Methodology and first results. https://doi.org/10.1093/mnras/stab2008"]}
DOI: 10.5281/zenodo.7904716
title: Global Meteor Network observations of Crew-5 Dragon trunk re-entry 2023-04-27

description: This dataset contains video observations by some stations of the Global Meteor Network of the re-entry of the Crew-5 dragon trunk above Arizona on 2023-04-27 around 08:52 UTC. There are several types of files: FF files: these are 10.24 second videos compressed in the four-frame format. They are just FITS files with four frames, containing per pixel 1) the maximum value over 256 frames 2) the frame nr (between 0 and 255) where the maximum occurred 3) the mean value of all 256 frames and 4) the RMS of the 256 values. FR files: compressed video recordings of detected fireballs. These can be read with the RMS software. MP4 files: rendered movies of combined FF and FR files for one station (more can be made with FR_binviewer from RMS software). Platepar-files: these contain astrometry corresponding to the FITS files. These can be interpreted by the RMS software. ECSV files: these contain manually picked points (with SkyFit2.py from RMS) along the track of the reentry. For each point, time and apparent coordinates are recorded. These files can be interpreted by the WesternMeteorPyLib trajectory solver. trajectory-points.txt: solutions from the trajectory solver. reentry-map-v4.png: a rendered map of the trajectory (made in QGIS). compilation.png: rendered version of the FF-files of most stations. The files can be processed with the software in https://github.com/CroatianMeteorNetwork/RMS and https://github.com/wmpg/WesternMeteorPyLib.
description: {"references": ["Vida, Denis et al. (2021). The Global Meteor Network \u2013 Methodology and first results. https://doi.org/10.1093/mnras/stab2008"]}
DOI: 10.5281/zenodo.5910504
title: BELL BEAKER DATA BASE FOR THE IBERIAN PENINSULA EASTERN FACADE

description: This database is one of the data packagaes used in the making of the PhD dissertation "Connecting with the past: social networks in recent Prehistory". It contains information from all the Bell-Beaker vessels known, from a wide area (provinces of Valencia, Alicante, Castellón, Teruel, Almería y Murcia). It was made using Filemaker format, and is linked to a database with all the material culture present for the same area.
DOI: 10.5281/zenodo.5910505
title: BASE DE DATOS DE VASOS CAMPANIFORMES

description: This database is one of the data packagaes used in the making of the PhD dissertation "Connecting with the past: social networks in recent Prehistory". It contains information from all the Bell-Beaker vessels known, from a wide area (provinces of Valencia, Alicante, Castellón, Teruel, Almería y Murcia). It was made using Filemaker format, and is linked to a database with all the material culture present for the same area.
DOI: 10.5281/zenodo.6979411
title: BASE DE DATOS DE VASOS CAMPANIFORMES

description: This database is one of the data packagaes used in the making of the PhD dissertation "Connecting with the past: social networks in recent Prehistory". It contains information from all the Bell-Beaker vessels known, from a wide area (provinces of Valencia, Alicante, Castellón, Teruel, Almería y Murcia). It was made using Filemaker format, and is linked to a database with all the material culture present for the same area.
DOI: 10.5281/zenodo.7875500
title: BELL BEAKER DATA BASE FOR THE IBERIAN PENINSULA EASTERN FACADE

description: This database is one of the data packagaes used in the making of the PhD dissertation "Connecting with the past: social networks in recent Prehistory". It contains information from all the Bell-Beaker vessels known, from a wide area (provinces of Valencia, Alicante, Castellón, Teruel, Almería y Murcia). It was made using Filemaker format, and is linked to a database with all the material culture present for the same area.
DOI: 10.6084/m9.figshare.22648006.v1
title: Population genetics comparison of <i>Lilioceris cheni</i> (Coleoptera: Chrysomelidae) colonies released onto <i>Dioscorea bulbifera</i> in Southeastern U.S.A.

description: Multiple importations of <i>Lilioceris cheni</i>, a defoliating beetle of the invasive air potato plant, were received by the ARS-Invasive Plant Research Laboratory from 2002 to 2012. The last two, in 2011 (China) and 2012 (Nepal), formed the basis of two colonies from which releases were made into six Southeastern U.S. States. Colony populations were examined using the mitochondrial <i>COI</i> sequence. Phylogenetics, evolutionary divergence, a haplotype network, population statistics, and migration models were generated for the two colonies, countries of origin, and the inferred populations (clades). Phylogenetics eliminated the possibility of cryptic speciation and alleviated the need for host-range testing of the 2012 Nepalese samples. Evolutionary divergence showed the Chinese colony was 1.65X as divergent as the Nepalese, but one Nepalese clade was the most distinctly different of all clades. AMOVA showed most (&gt;70%) genetic variation resided within rather than between colonies. In contrast, AMOVAs showed high levels (&gt;61.5%) of genetic variation between underlying clades with proportionally less variation within. The haplotype network showed broad agreement with the phylogeny. Clade C, from China, displayed the largest number of haplotypes and the largest mutation-scaled effective population size in MIGRATE software. The best MIGRATE models indicated that migration and descent followed the order of phylogenetic descent. The results suggest that the genetic diversity being offered to the adventive range by these very divergent colonies (and clades) is large and should support great ecological flexibility.
DOI: 10.6084/m9.figshare.22648006
title: Population genetics comparison of <i>Lilioceris cheni</i> (Coleoptera: Chrysomelidae) colonies released onto <i>Dioscorea bulbifera</i> in Southeastern U.S.A.

description: Multiple importations of <i>Lilioceris cheni</i>, a defoliating beetle of the invasive air potato plant, were received by the ARS-Invasive Plant Research Laboratory from 2002 to 2012. The last two, in 2011 (China) and 2012 (Nepal), formed the basis of two colonies from which releases were made into six Southeastern U.S. States. Colony populations were examined using the mitochondrial <i>COI</i> sequence. Phylogenetics, evolutionary divergence, a haplotype network, population statistics, and migration models were generated for the two colonies, countries of origin, and the inferred populations (clades). Phylogenetics eliminated the possibility of cryptic speciation and alleviated the need for host-range testing of the 2012 Nepalese samples. Evolutionary divergence showed the Chinese colony was 1.65X as divergent as the Nepalese, but one Nepalese clade was the most distinctly different of all clades. AMOVA showed most (&gt;70%) genetic variation resided within rather than between colonies. In contrast, AMOVAs showed high levels (&gt;61.5%) of genetic variation between underlying clades with proportionally less variation within. The haplotype network showed broad agreement with the phylogeny. Clade C, from China, displayed the largest number of haplotypes and the largest mutation-scaled effective population size in MIGRATE software. The best MIGRATE models indicated that migration and descent followed the order of phylogenetic descent. The results suggest that the genetic diversity being offered to the adventive range by these very divergent colonies (and clades) is large and should support great ecological flexibility.
DOI: 10.6084/m9.figshare.22776506
title: <strong>NSCLC immunotherapy response predicted by multi-modal tumor immune microenvironment via noninvasive radiomics approach</strong>

description: <strong>NSCLC immunotherapy response predicted by multi-modal tumor immune microenvironment via noninvasive radiomics approach</strong>
DOI: 10.6084/m9.figshare.22776506.v1
title: <strong>NSCLC immunotherapy response predicted by multi-modal tumor immune microenvironment via noninvasive radiomics approach</strong>

description: <strong>NSCLC immunotherapy response predicted by multi-modal tumor immune microenvironment via noninvasive radiomics approach</strong>
DOI: 10.5281/zenodo.7904761
title: Steam_games

description: Steam games dataset, which includes various columns of information, such as required_age, categories, achievements, average_playtime, median_playtime, owners and platforms.
DOI: 10.5281/zenodo.7904760
title: Steam_games

description: Steam games dataset, which includes various columns of information, such as required_age, categories, achievements, average_playtime, median_playtime, owners and platforms.
DOI: 10.5281/zenodo.7904757
title: Dataset Medaka fish mitochondrial oxygen fluxes

description: Dataset of Medaka fish mitochondrial oxygen fluxes measured through a full factorial experimental design with (1) two ancestral temperatures: fish reared at 20 °C (C) or at 30 °C (W), and (2) two assay temperatures: mitochondrial oxygen fluxes measured at 20 °C or 30 °C.
DOI: 10.5281/zenodo.7904756
title: Dataset Medaka fish mitochondrial oxygen fluxes

description: Dataset of Medaka fish mitochondrial oxygen fluxes measured through a full factorial experimental design with (1) two ancestral temperatures: fish reared at 20 °C (C) or at 30 °C (W), and (2) two assay temperatures: mitochondrial oxygen fluxes measured at 20 °C or 30 °C.
DOI: 10.5517/ccdc.csd.cc2db6ts
title: CCDC 2214355: Experimental Crystal Structure Determination

description: Related Article: Louae M. Abdulla, Austin A. Peach, Sean T. Holmes, Zachary T. Dowdell, Lara K. Watanabe, Emilia M. Iacobelli, David A. Hirsh, Jeremy M. Rawson, Robert W. Schurko|2023|Cryst.Growth Des.|23|3412|doi:10.1021/acs.cgd.2c01539
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: 10.5517/ccdc.csd.cc2dy11g
title: CCDC 2232435: Experimental Crystal Structure Determination

description: Related Article: Dung L. Golden, Chaofeng Zhang, Si-Jie Chen, Aristidis Vasilopoulos, Ilia A. Guzei, Shannon S. Stahl|2023|J.Am.Chem.Soc.|145|9434|doi:10.1021/jacs.3c01662
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.