cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7746159
title: Wind and Waves in Tropical Cyclones (1985-2022)

description: Dataset contains information on wind speed and wave height in Tropical Cyclones (TCs) obtained from the Best Track Data during the period from 1985 to 2022 and along-track altimeter measurements from 17 satellites in 1985-2018 (IMOS archive, Ribal and Young, 2019) and in 2020-2022 (CMEMS archive). For each TC, in which the maximum wind speed exceeded 30 m/s (1905 cases), files are created to combine altimetry data on the significant wave height and wind speed in the cyclone area (+-7 degrees from TC center) and information on each cyclone trajectory and its main characteristics (maximum wind speed, radius of maximum winds, heading velocity vector). To describe the radial distribution of wind speed, standard data on distances from the cyclone center to points with wind speeds of 34, 50, and 64 knots are approximated with the analytical function suggested by Holland (1980). For each cyclone, graphical files are provided to illustrate the evolution of every TC parameters, the quality of the wind prifile approximation, the location of altimeter tracks, and the along-track values of significant wave height and wind speed. Files given in NetCDF and MAT formats contain - TC coordinates, heading velocity and direction, maximum wind speed and radius of maximum wind speed every 3 hours - parameters of wind radial distributions for TC central and far zone every 3 hours - altimetry data: time and along-track significant wave height and wind speed in TC region (+-7 degrees from TC center) from satellites GEOSAT, ERS-1, TOPEX, ERS-2, GFO, ENVISAT, JASON-1, JASON-2, JASON-3, SARAL/AltiKa, CryoSat-2, HY-2A, HY-2B, CFOSAT, Sentinel-3A, Sentinel-3B, Sentinel-6А To form the dataset, the NOAA archive with data on tropical cyclones (https://www.ncei.noaa.gov/data/international-best-track-archive-for-climate-stewardship-ibtracs/v04r00/access/netcdf/, DOI :10.48670/moi-00178) and archives CMEMS (https://resources.marine.copernicus.eu/products, DOI:10.48670/moi-00178) and IMOS (https://catalogue-imos. aodn.org.au/geonetwork/srv/rus/catalog.search#/metadata/c6d5c7b4-323e-4979-9364-cdfa59684163, DOI:10.26198/5c184f4a5cd2e) with altimetry data were used .
description: {"references": ["The Best Track Data: https://www.ncei.noaa.gov/data/international-best-track-archive-for-climate-stewardship-ibtracs/v04r00/access/netcdf/, https://doi.org/10.48670/moi-00178", "Altimeter data 2020-2022: https://resources.marine.copernicus.eu/products, https://doi.org/10.48670/moi-00178", "Altimeter data 1985-2018: Ribal, A., & Young, I. (2019). 33 years of globally calibrated wave height and wind speed data based on altimeter observations (superseded) [Data set]. Australian Ocean Data Network. https://doi.org/10.26198/5C184F4A5CD2E, ogue-imos.aodn.org.au/geonetwork/srv/rus/catalog.search#/metadata/c6d5c7b4-323e-4979-9364-cdfa59684163", "Holland, G. J. (1980). An Analytic Model of the Wind and Pressure Profiles in Hurricanes, Monthly Weather Review, 108(8), 1212-1218"]}
DOI: 10.5281/zenodo.6795329
title: Wind and Waves in Tropical Cyclones (1985-2022)

description: Dataset contains information on wind speed and wave height in Tropical Cyclones (TCs) obtained from the Best Track Data during the period from 1985 to 2022 and along-track altimeter measurements from 17 satellites in 1985-2018 (IMOS archive, Ribal and Young, 2019) and in 2020-2022 (CMEMS archive). For each TC, in which the maximum wind speed exceeded 30 m/s (1905 cases), files are created to combine altimetry data on the significant wave height and wind speed in the cyclone area (+-7 degrees from TC center) and information on each cyclone trajectory and its main characteristics (maximum wind speed, radius of maximum winds, heading velocity vector). To describe the radial distribution of wind speed, standard data on distances from the cyclone center to points with wind speeds of 34, 50, and 64 knots are approximated with the analytical function suggested by Holland (1980). For each cyclone, graphical files are provided to illustrate the evolution of every TC parameters, the quality of the wind prifile approximation, the location of altimeter tracks, and the along-track values of significant wave height and wind speed. Files given in NetCDF and MAT formats contain - TC coordinates, heading velocity and direction, maximum wind speed and radius of maximum wind speed every 3 hours - parameters of wind radial distributions for TC central and far zone every 3 hours - altimetry data: time and along-track significant wave height and wind speed in TC region (+-7 degrees from TC center) from satellites GEOSAT, ERS-1, TOPEX, ERS-2, GFO, ENVISAT, JASON-1, JASON-2, JASON-3, SARAL/AltiKa, CryoSat-2, HY-2A, HY-2B, CFOSAT, Sentinel-3A, Sentinel-3B, Sentinel-6А To form the dataset, the NOAA archive with data on tropical cyclones (https://www.ncei.noaa.gov/data/international-best-track-archive-for-climate-stewardship-ibtracs/v04r00/access/netcdf/, DOI :10.48670/moi-00178) and archives CMEMS (https://resources.marine.copernicus.eu/products, DOI:10.48670/moi-00178) and IMOS (https://catalogue-imos. aodn.org.au/geonetwork/srv/rus/catalog.search#/metadata/c6d5c7b4-323e-4979-9364-cdfa59684163, DOI:10.26198/5c184f4a5cd2e) with altimetry data were used .
description: {"references": ["The Best Track Data: https://www.ncei.noaa.gov/data/international-best-track-archive-for-climate-stewardship-ibtracs/v04r00/access/netcdf/, https://doi.org/10.48670/moi-00178", "Altimeter data 2020-2022: https://resources.marine.copernicus.eu/products, https://doi.org/10.48670/moi-00178", "Altimeter data 1985-2018: Ribal, A., & Young, I. (2019). 33 years of globally calibrated wave height and wind speed data based on altimeter observations (superseded) [Data set]. Australian Ocean Data Network. https://doi.org/10.26198/5C184F4A5CD2E, ogue-imos.aodn.org.au/geonetwork/srv/rus/catalog.search#/metadata/c6d5c7b4-323e-4979-9364-cdfa59684163", "Holland, G. J. (1980). An Analytic Model of the Wind and Pressure Profiles in Hurricanes, Monthly Weather Review, 108(8), 1212-1218"]}
DOI: 10.5066/p96fa04z
title: Mars Odyssey (MO) Thermal Emission Imaging System (THEMIS) Infrared (IR) Controlled Mosaic Collection
DOI: 10.25919/v4g9-6c49
title: AuCo Nanoparticle Data Set

description: This is a set of 156412 gold-cobalt (AuCo) nanoparticle FINAL CONFIGURATIONS, for use in data-driven studies. These structures have been optimised (fully relaxed) using molecular dynamics with an embedded atom (EAM) interatomic potential, at various temperatures. All files are in XYZ format, and the naming convention is defined in the accompanying CSV file that lists all of the structural features and property indicators (see Supporting Attachments). Sizes range from 93 atoms to 4859 atoms, with both crystalline and non-crystalline configurations and regions. Each nanoparticle has been characterised using a variety of topological features, including size, lattice structure, surface curvature, and several order parameters. The final 2 columns are target labels, providing the total energy and the excess formation energy. Links to publications describing these property labels are provided in the meta data. Other features can also be used as labels as desired. Note that the elemental order in the dataset title correspond to structurally distinct sets as documented in the methodology file.
DOI: 10.6075/j06w9b7z
title: #showyourstripes. In Art of Science

description: Caption: The Arctic is warming more than twice as fast as nearly everywhere else on the planet Participant category: Graduate student Department: Scripps Institution of Oceanography A depiction of the famous warming stripes (coined by Ed Hawkins) for temperatures in the Arctic region. Each stripe represents the average temperature of each year relative to the average temperature over the entire period. This value is known as the temperature anomaly. Blue shades represent years that are colder than average, and red shades represent warmer-than-average years. The stark trend of deepening red toward the right indicates that there is a clear warming trend in the Arctic over time. This trend of increasing temperature can also be seen in the black line overlaid on the stripes. The Arctic is warming more than twice as fast as nearly everywhere else on the planet. This is causing sea ice to melt at alarming rates, which has many implications for changes in climate on the global scale. Data: Air temperature data are from the Japanese 55-year Reanalysis product.
DOI: 10.25919/6ajg-1275
title: PdAu Nanoparticle Data Set

description: This is a set of 145064 palladium-gold (PdAu) nanoparticle FINAL CONFIGURATIONS, for use in data-driven studies. These structures have been optimised (fully relaxed) using molecular dynamics with an embedded atom (EAM) interatomic potential, at various temperatures. All files are in XYZ format, and the naming convention is defined in the accompanying CSV file that lists all of the structural features and property indicators (see Supporting Attachments). Sizes range from 105 atoms to 4631 atoms, with both crystalline and non-crystalline configurations and regions. Each nanoparticle has been characterised using a variety of topological features, including size, lattice structure, surface curvature, and several order parameters. The final 2 columns are target labels, providing the total energy and the excess formation energy. Links to publications describing these property labels are provided in the meta data. Other features can also be used as labels as desired. Note that the elemental order in the dataset title correspond to structurally distinct sets as documented in the methodology file.
DOI: 10.6084/m9.figshare.22217203
title: Alonso et al. supplementary figure and tables

description: Genes regulated in adult male and female mouse pituitaries by once daily GnRH for 10 days
DOI: 10.6084/m9.figshare.22217203.v1
title: Alonso et al. supplementary figure and tables

description: Genes regulated in adult male and female mouse pituitaries by once daily GnRH for 10 days
DOI: 10.25919/9sz9-3a85
title: PtPd Nanoparticle Data Set

description: This is a set of 150781 platinum-palladium (PtPd) nanoparticle FINAL CONFIGURATIONS, for use in data-driven studies. These structures have been optimised (fully relaxed) using molecular dynamics with an embedded atom (EAM) interatomic potential, at various temperatures. All files are in XYZ format, and the naming convention is defined in the accompanying CSV file that lists all of the structural features and property indicators (see Supporting Attachments). Sizes range from 105 atoms to 4631 atoms, with both crystalline and non-crystalline configurations and regions. Each nanoparticle has been characterised using a variety of topological features, including size, lattice structure, surface curvature, and several order parameters. The final 2 columns are target labels, providing the total energy and the excess formation energy. Links to publications describing these property labels are provided in the meta data. Other features can also be used as labels as desired. Note that the elemental order in the dataset title correspond to structurally distinct sets as documented in the methodology file.
DOI: 10.25919/7zh9-3f67
title: AuPt Nanoparticle Data Set

description: This is a set of 162439 gold-platinum (AuPt) nanoparticle FINAL CONFIGURATIONS, for use in data-driven studies. These structures have been optimised (fully relaxed) using molecular dynamics with an embedded atom (EAM) interatomic potential, at various temperatures. All files are in XYZ format, and the naming convention is defined in the accompanying CSV file that lists all of the structural features and property indicators (see Supporting Attachments). Sizes range from 93 atoms to 4631 atoms, with both crystalline and non-crystalline configurations and regions. Each nanoparticle has been characterised using a variety of topological features, including size, lattice structure, surface curvature, and several order parameters. The final 2 columns are target labels, providing the total energy and the excess formation energy. Links to publications describing these property labels are provided in the meta data. Other features can also be used as labels as desired. Note that the elemental order in the dataset title correspond to structurally distinct sets as documented in the methodology file.
DOI: 10.25919/991j-hg07
title: CoAu Nanoparticle Data Set

description: This is a set of 156075 cobalt-gold (CoAu) nanoparticle FINAL CONFIGURATIONS, for use in data-driven studies. These structures have been optimised (fully relaxed) using molecular dynamics with an embedded atom (EAM) interatomic potential, at various temperatures. All files are in XYZ format, and the naming convention is defined in the accompanying CSV file that lists all of the structural features and property indicators (see Supporting Attachments). Sizes range from 181 atoms to 6083 atoms, with both crystalline and non-crystalline configurations and regions. Each nanoparticle has been characterised using a variety of topological features, including size, lattice structure, surface curvature, and several order parameters. The final 2 columns are target labels, providing the total energy and the excess formation energy. Links to publications describing these property labels are provided in the meta data. Other features can also be used as labels as desired. Note that the elemental order in the dataset title correspond to structurally distinct sets as documented in the methodology file.
DOI: 10.25919/em3a-9a89
title: CoPd Nanoparticle Data Set

description: This is a set of 138147 cobalt-palladium (CoPd) nanoparticle FINAL CONFIGURATIONS, for use in data-driven studies. These structures have been optimised (fully relaxed) using molecular dynamics with an embedded atom (EAM) interatomic potential, at various temperatures. All files are in XYZ format, and the naming convention is defined in the accompanying CSV file that lists all of the structural features and property indicators (see Supporting Attachments). Sizes range from 181 atoms to 6083 atoms, with both crystalline and non-crystalline configurations and regions. Each nanoparticle has been characterised using a variety of topological features, including size, lattice structure, surface curvature, and several order parameters. The final 2 columns are target labels, providing the total energy and the excess formation energy. Links to publications describing these property labels are provided in the meta data. Other features can also be used as labels as desired. Note that the elemental order in the dataset title correspond to structurally distinct sets as documented in the methodology file.
DOI: 10.25919/0bs4-sn79
title: CoPt Nanoparticle Data Set

description: This is a set of 149232 cobalt-platinum (CoPt) nanoparticle FINAL CONFIGURATIONS, for use in data-driven studies. These structures have been optimised (fully relaxed) using molecular dynamics with an embedded atom (EAM) interatomic potential, at various temperatures. All files are in XYZ format, and the naming convention is defined in the accompanying CSV file that lists all of the structural features and property indicators (see Supporting Attachments). Sizes range from 181 atoms to 6083 atoms, with both crystalline and non-crystalline configurations and regions. Each nanoparticle has been characterised using a variety of topological features, including size, lattice structure, surface curvature, and several order parameters. The final 2 columns are target labels, providing the total energy and the excess formation energy. Links to publications describing these property labels are provided in the meta data. Other features can also be used as labels as desired. Note that the elemental order in the dataset title correspond to structurally distinct sets as documented in the methodology file.
DOI: 10.25919/az9t-vr97
title: PdCo Nanoparticle Data Set

description: This is a set of 138896 palladium-cobalt (PdCo) nanoparticle FINAL CONFIGURATIONS, for use in data-driven studies. These structures have been optimised (fully relaxed) using molecular dynamics with an embedded atom (EAM) interatomic potential, at various temperatures. All files are in XYZ format, and the naming convention is defined in the accompanying CSV file that lists all of the structural features and property indicators (see Supporting Attachments). Sizes range from 105 atoms to 4718 atoms, with both crystalline and non-crystalline configurations and regions. Each nanoparticle has been characterised using a variety of topological features, including size, lattice structure, surface curvature, and several order parameters. The final 2 columns are target labels, providing the total energy and the excess formation energy. Links to publications describing these property labels are provided in the meta data. Other features can also be used as labels as desired. Note that the elemental order in the dataset title correspond to structurally distinct sets as documented in the methodology file.
DOI: 10.25919/qced-2e85
title: PdPt Nanoparticle Data Set

description: This is a set of 151216 palladium-platinum (PdPt) nanoparticle FINAL CONFIGURATIONS, for use in data-driven studies. These structures have been optimised (fully relaxed) using molecular dynamics with an embedded atom (EAM) interatomic potential, at various temperatures. All files are in XYZ format, and the naming convention is defined in the accompanying CSV file that lists all of the structural features and property indicators (see Supporting Attachments). Sizes range from 105 atoms to 4631 atoms, with both crystalline and non-crystalline configurations and regions. Each nanoparticle has been characterised using a variety of topological features, including size, lattice structure, surface curvature, and several order parameters. The final 2 columns are target labels, providing the total energy and the excess formation energy. Links to publications describing these property labels are provided in the meta data. Other features can also be used as labels as desired. Note that the elemental order in the dataset title correspond to structurally distinct sets as documented in the methodology file.
DOI: 10.25919/tdnv-jp30
title: PtAu Nanoparticle Data Set

description: This is a set of 162770 platinum-gold (PtAu) nanoparticle FINAL CONFIGURATIONS, for use in data-driven studies. These structures have been optimised (fully relaxed) using molecular dynamics with an embedded atom (EAM) interatomic potential, at various temperatures. All files are in XYZ format, and the naming convention is defined in the accompanying CSV file that lists all of the structural features and property indicators (see Supporting Attachments). Sizes range from 105 atoms to 4631 atoms, with both crystalline and non-crystalline configurations and regions. Each nanoparticle has been characterised using a variety of topological features, including size, lattice structure, surface curvature, and several order parameters. The final 2 columns are target labels, providing the total energy and the excess formation energy. Links to publications describing these property labels are provided in the meta data. Other features can also be used as labels as desired. Note that the elemental order in the dataset title correspond to structurally distinct sets as documented in the methodology file.
DOI: 10.34740/kaggle/dsv/5257725
title: Country Data
DOI: 10.5517/ccdc.csd.cc2bz13h
title: CCDC 2173816: Experimental Crystal Structure Determination

description: Related Article: Yu-Shan Chen, Chih-Hsuan Wang, Yu-Hsuan Hu, Chun-Yi David Lu, Jye-Shane Yang|2023|J.Am.Chem.Soc.|145|6024|doi:10.1021/jacs.2c13210
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.cc2cx9xj
title: CCDC 2201958: Experimental Crystal Structure Determination

description: Related Article: Sisi Wang, Wenjun Ye, Wenting Song, Lihong Yao, Jiayan Zhang, Xiaosha Qiu, Zhixu Zhou|2023|J.Mol.Struct.|1283|135342|doi:10.1016/j.molstruc.2023.135342
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.cc2dlzjj
title: CCDC 2222778: Experimental Crystal Structure Determination

description: Related Article: Gautam Kumar, Ananya Srivastava, Sarita Gond, Pranjalee Yadav, Aayoosh Singh, Vinod P. Singh|2023|J.Mol.Struct.|1283|135281|doi:10.1016/j.molstruc.2023.135281
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/jzh8-rd31
title: PtCo Nanoparticle Data Set

description: This is a set of 149675 platinum-cobalt (PtCo) nanoparticle FINAL CONFIGURATIONS, for use in data-driven studies. These structures have been optimised (fully relaxed) using molecular dynamics with an embedded atom (EAM) interatomic potential, at various temperatures. All files are in XYZ format, and the naming convention is defined in the accompanying CSV file that lists all of the structural features and property indicators (see Supporting Attachments). Sizes range from 105 atoms to 4802 atoms, with both crystalline and non-crystalline configurations and regions. Each nanoparticle has been characterised using a variety of topological features, including size, lattice structure, surface curvature, and several order parameters. The final 2 columns are target labels, providing the total energy and the excess formation energy. Links to publications describing these property labels are provided in the meta data. Other features can also be used as labels as desired. Note that the elemental order in the dataset title correspond to structurally distinct sets as documented in the methodology file.
DOI: 10.25345/c5cv4c23z
title: MassIVE MSV000091579 - Integrated metabolomics and proteomics reveal networks associated with end-stage kidney disease
title: Integrated metabolomic and proteomic profiling of end stage kidney disease patients undergo hemodialysis