cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3250953
title: Build Up Index - ERA-Interim

description: The Build Up Index (BUI) is a numeric rating of the total amount of fuel available for combustion. It combines the DMC and the DC. This is part of a larger dataset providing gridded field calculations from the Canadian Fire Weather Index System using weather forcings from the European Centre for Medium-range Weather Forecast (ECMWF) ERA-Interim reanalysis dataset (Vitolo et al., 2019; Di Giuseppe et al., 2016). The dataset has been developed through a collaboration between the Joint Research Centre and ECMWF under the umbrella of the Global Wildfires Information System (GWIS), a joint initiative of the GEO and the Copernicus Work Programs. The whole dataset consists of seven indices, each of which describes a different aspect of the effect that fuel moisture and wind have on fire ignition probability and its behavior, if started. The indices are called: Fine Fuel Moisture Code (FFMC), Duff Moisture Code (DMC), Drought Code (DC), Initial Spread Index (ISI), Build Up Index (BUI), Fire Weather Index (FWI) and Daily Severity Rating (DSR). For convenience, each index is archived separately. Data are generated using the open source software GEFF v3.0 (https://git.ecmwf.int/projects/CEMSF/repos/geff), which now uses settings and parameters provided by the JRC (more info here https://git.ecmwf.int/projects/CEMSF/repos/geff/browse/NEWS.md). This dataset can be manipulated using the caliver R package (Vitolo et al. 2017, 2018). Details: File format: netcdf4 Coordinate system: World Geodetic System 1984 (also known as WGS 1984, EPSG:4326). Longitude range: [-180, +180] Latitude range: [-90, +90] Temporal resolution: 1 day Spatial resolution: 0.7 degrees (~80 Km) Spatial coverage: Global Time span: from 1980-01-01 to 2018-12-31
description: Contract 933710 between JRC and ECMWF (Copernicus - Fire Danger Forecast Computation)
description: {"references": ["Di Giuseppe, F., Pappenberger, F., Wetterhall, F., Krzeminski, B., Camia, A., Libert\u00e1, G. and San Miguel, J., 2016. The potential predictability of fire danger provided by numerical weather prediction. Journal of Applied Meteorology and Climatology, 55(11), pp.2469-2491. DOI: https://doi.org/10.1175/JAMC-D-15-0297.1", "Vitolo C., Di Giuseppe F., D'Andrea M., 2018. Caliver: An R package for CALIbration and VERification of forest fire gridded model outputs. PLoS ONE 13(1): e0189419. https://doi.org/10.1371/journal.pone.0189419", "Vitolo C., Di Giuseppe F., D'Andrea M., 2017. caliver R package version 1.0. URL: https://github.com/ecmwf/caliver, DOI: https://doi.org/10.5281/zenodo.582416.", "Vitolo C., Di Giuseppe F., Krzeminski B., San-Miguel-Ayanz J., 2019. A 1980\u20132018 global fire danger re-analysis dataset for the Canadian Fire Weather Indices, Scientific Data. https://doi.org/10.1038/sdata.2019.32"]}
DOI: 10.5281/zenodo.1068808
title: Build Up Index - ERA-Interim

description: The Build Up Index (BUI) is a numeric rating of the total amount of fuel available for combustion. It combines the DMC and the DC. This is part of a larger dataset providing gridded field calculations from the Canadian Fire Weather Index System using weather forcings from the European Centre for Medium-range Weather Forecast (ECMWF) ERA-Interim reanalysis dataset (Vitolo et al., 2019; Di Giuseppe et al., 2016). The dataset has been developed through a collaboration between the Joint Research Centre and ECMWF under the umbrella of the Global Wildfires Information System (GWIS), a joint initiative of the GEO and the Copernicus Work Programs. The whole dataset consists of seven indices, each of which describes a different aspect of the effect that fuel moisture and wind have on fire ignition probability and its behavior, if started. The indices are called: Fine Fuel Moisture Code (FFMC), Duff Moisture Code (DMC), Drought Code (DC), Initial Spread Index (ISI), Build Up Index (BUI), Fire Weather Index (FWI) and Daily Severity Rating (DSR). For convenience, each index is archived separately. Data are generated using the open source software GEFF v3.0 (https://git.ecmwf.int/projects/CEMSF/repos/geff), which now uses settings and parameters provided by the JRC (more info here https://git.ecmwf.int/projects/CEMSF/repos/geff/browse/NEWS.md). This dataset can be manipulated using the caliver R package (Vitolo et al. 2017, 2018). Details: File format: netcdf4 Coordinate system: World Geodetic System 1984 (also known as WGS 1984, EPSG:4326). Longitude range: [-180, +180] Latitude range: [-90, +90] Temporal resolution: 1 day Spatial resolution: 0.7 degrees (~80 Km) Spatial coverage: Global Time span: from 1980-01-01 to 2018-12-31
description: Contract 933710 between JRC and ECMWF (Copernicus - Fire Danger Forecast Computation)
description: {"references": ["Di Giuseppe, F., Pappenberger, F., Wetterhall, F., Krzeminski, B., Camia, A., Libert\u00e1, G. and San Miguel, J., 2016. The potential predictability of fire danger provided by numerical weather prediction. Journal of Applied Meteorology and Climatology, 55(11), pp.2469-2491. DOI: https://doi.org/10.1175/JAMC-D-15-0297.1", "Vitolo C., Di Giuseppe F., D'Andrea M., 2018. Caliver: An R package for CALIbration and VERification of forest fire gridded model outputs. PLoS ONE 13(1): e0189419. https://doi.org/10.1371/journal.pone.0189419", "Vitolo C., Di Giuseppe F., D'Andrea M., 2017. caliver R package version 1.0. URL: https://github.com/ecmwf/caliver, DOI: https://doi.org/10.5281/zenodo.582416.", "Vitolo C., Di Giuseppe F., Krzeminski B., San-Miguel-Ayanz J., 2019. A 1980\u20132018 global fire danger re-analysis dataset for the Canadian Fire Weather Indices, Scientific Data. https://doi.org/10.1038/sdata.2019.32"]}
DOI: 10.5281/zenodo.3250949
title: Initial Spread Index - ERA-Interim

description: The Initial Spread Index (ISI) is a numeric rating of the expected rate of fire spread. It combines the effects of wind and the FFMC on rate of spread without the influence of variable quantities of fuel. This is part of a larger dataset providing gridded field calculations from the Canadian Fire Weather Index System using weather forcings from the European Centre for Medium-range Weather Forecast (ECMWF) ERA-Interim reanalysis dataset (Vitolo et al., 2019; Di Giuseppe et al., 2016). The dataset has been developed through a collaboration between the Joint Research Centre and ECMWF under the umbrella of the Global Wildfires Information System (GWIS), a joint initiative of the GEO and the Copernicus Work Programs. The whole dataset consists of seven indices, each of which describes a different aspect of the effect that fuel moisture and wind have on fire ignition probability and its behavior, if started. The indices are called: Fine Fuel Moisture Code (FFMC), Duff Moisture Code (DMC), Drought Code (DC), Initial Spread Index (ISI), Build Up Index (BUI), Fire Weather Index (FWI) and Daily Severity Rating (DSR). For convenience, each index is archived separately. Data are generated using the open source software GEFF v3.0 (https://git.ecmwf.int/projects/CEMSF/repos/geff), which now uses settings and parameters provided by the JRC (more info here https://git.ecmwf.int/projects/CEMSF/repos/geff/browse/NEWS.md). This dataset can be manipulated using the caliver R package (Vitolo et al. 2017, 2018). Details: File format: netcdf4 Coordinate system: World Geodetic System 1984 (also known as WGS 1984, EPSG:4326). Longitude range: [-180, +180] Latitude range: [-90, +90] Temporal resolution: 1 day Spatial resolution: 0.7 degrees (~80 Km) Spatial coverage: Global Time span: from 1980-01-01 to 2018-12-31
description: Contract 933710 between JRC and ECMWF (Copernicus - Fire Danger Forecast Computation)
description: {"references": ["Di Giuseppe, F., Pappenberger, F., Wetterhall, F., Krzeminski, B., Camia, A., Libert\u00e1, G. and San Miguel, J., 2016. The potential predictability of fire danger provided by numerical weather prediction. Journal of Applied Meteorology and Climatology, 55(11), pp.2469-2491. DOI: https://doi.org/10.1175/JAMC-D-15-0297.1", "Vitolo C., Di Giuseppe F., D'Andrea M., 2018. Caliver: An R package for CALIbration and VERification of forest fire gridded model outputs. PLoS ONE 13(1): e0189419. https://doi.org/10.1371/journal.pone.0189419", "Vitolo C., Di Giuseppe F., D'Andrea M., 2017. caliver R package version 1.0. URL: https://github.com/ecmwf/caliver, DOI: https://doi.org/10.5281/zenodo.582416.", "Vitolo C., Di Giuseppe F., Krzeminski B., San-Miguel-Ayanz J., 2019. A 1980\u20132018 global fire danger re-analysis dataset for the Canadian Fire Weather Indices, Scientific Data. https://doi.org/10.1038/sdata.2019.32"]}
DOI: 10.5281/zenodo.1068887
title: Initial Spread Index - ERA-Interim

description: The Initial Spread Index (ISI) is a numeric rating of the expected rate of fire spread. It combines the effects of wind and the FFMC on rate of spread without the influence of variable quantities of fuel. This is part of a larger dataset providing gridded field calculations from the Canadian Fire Weather Index System using weather forcings from the European Centre for Medium-range Weather Forecast (ECMWF) ERA-Interim reanalysis dataset (Vitolo et al., 2019; Di Giuseppe et al., 2016). The dataset has been developed through a collaboration between the Joint Research Centre and ECMWF under the umbrella of the Global Wildfires Information System (GWIS), a joint initiative of the GEO and the Copernicus Work Programs. The whole dataset consists of seven indices, each of which describes a different aspect of the effect that fuel moisture and wind have on fire ignition probability and its behavior, if started. The indices are called: Fine Fuel Moisture Code (FFMC), Duff Moisture Code (DMC), Drought Code (DC), Initial Spread Index (ISI), Build Up Index (BUI), Fire Weather Index (FWI) and Daily Severity Rating (DSR). For convenience, each index is archived separately. Data are generated using the open source software GEFF v3.0 (https://git.ecmwf.int/projects/CEMSF/repos/geff), which now uses settings and parameters provided by the JRC (more info here https://git.ecmwf.int/projects/CEMSF/repos/geff/browse/NEWS.md). This dataset can be manipulated using the caliver R package (Vitolo et al. 2017, 2018). Details: File format: netcdf4 Coordinate system: World Geodetic System 1984 (also known as WGS 1984, EPSG:4326). Longitude range: [-180, +180] Latitude range: [-90, +90] Temporal resolution: 1 day Spatial resolution: 0.7 degrees (~80 Km) Spatial coverage: Global Time span: from 1980-01-01 to 2018-12-31
description: Contract 933710 between JRC and ECMWF (Copernicus - Fire Danger Forecast Computation)
description: {"references": ["Di Giuseppe, F., Pappenberger, F., Wetterhall, F., Krzeminski, B., Camia, A., Libert\u00e1, G. and San Miguel, J., 2016. The potential predictability of fire danger provided by numerical weather prediction. Journal of Applied Meteorology and Climatology, 55(11), pp.2469-2491. DOI: https://doi.org/10.1175/JAMC-D-15-0297.1", "Vitolo C., Di Giuseppe F., D'Andrea M., 2018. Caliver: An R package for CALIbration and VERification of forest fire gridded model outputs. PLoS ONE 13(1): e0189419. https://doi.org/10.1371/journal.pone.0189419", "Vitolo C., Di Giuseppe F., D'Andrea M., 2017. caliver R package version 1.0. URL: https://github.com/ecmwf/caliver, DOI: https://doi.org/10.5281/zenodo.582416.", "Vitolo C., Di Giuseppe F., Krzeminski B., San-Miguel-Ayanz J., 2019. A 1980\u20132018 global fire danger re-analysis dataset for the Canadian Fire Weather Indices, Scientific Data. https://doi.org/10.1038/sdata.2019.32"]}
DOI: 10.21227/fqe8-db87
title: Multiday GPS tracking data of Shanghai

description: During the five-month surveying period, 459 individuals are recruited either on site or via Internet, more than 17 million GPS tracking points over 3,766 days are obtained. A total of 318 respondents’ socio-economic attributes, demographic information, and frequently visited locations are also collected via web-based survey. Among them, 267 volunteers completed more than 5 days of continuous smartphone-based GPS tracking, and participated in the PR survey to provide activity chain information corresponding to the GPS data. After necessary data preprocessing processes, such as the basic data cleaning, the activity chain nodes identification, the activity chain nodes attributes recognition, etc., a total of 10,407 activities/trips in 1,498 days are remained in the current dataset.
DOI: 10.5967/ppbv-f434
title: Potato consumption and energy balance: a randomized controlled trial
DOI: 10.5281/zenodo.3250924
title: Daily Severity Rating - ERA-Interim

description: The Daily Severity Rating (DSR) is a numeric rating of the difficulty of controlling fires. It is based on the Fire Weather Index but more accurately reflects the expected efforts required for fire suppression. This is part of a larger dataset providing gridded field calculations from the Canadian Fire Weather Index System using weather forcings from the European Centre for Medium-range Weather Forecast (ECMWF) ERA-Interim reanalysis dataset (Vitolo et al., 2019; Di Giuseppe et al., 2016). The dataset has been developed through a collaboration between the Joint Research Centre and ECMWF under the umbrella of the Global Wildfires Information System (GWIS), a joint initiative of the GEO and the Copernicus Work Programs. The whole dataset consists of seven indices, each of which describes a different aspect of the effect that fuel moisture and wind have on fire ignition probability and its behavior, if started. The indices are called: Fine Fuel Moisture Code (FFMC), Duff Moisture Code (DMC), Drought Code (DC), Initial Spread Index (ISI), Build Up Index (BUI), Fire Weather Index (FWI) and Daily Severity Rating (DSR). For convenience, each index is archived separately. Data are generated using the open source software GEFF v3.0 (https://git.ecmwf.int/projects/CEMSF/repos/geff), which now uses settings and parameters provided by the JRC (more info here https://git.ecmwf.int/projects/CEMSF/repos/geff/browse/NEWS.md). This dataset can be manipulated using the caliver R package (Vitolo et al. 2017, 2018). Details: File format: netcdf4 Coordinate system: World Geodetic System 1984 (also known as WGS 1984, EPSG:4326). Longitude range: [-180, +180] Latitude range: [-90, +90] Temporal resolution: 1 day Spatial resolution: 0.7 degrees (~80 Km) Spatial coverage: Global Time span: from 1980-01-01 to 2018-12-31
description: Contract 933710 between JRC and ECMWF (Copernicus - Fire Danger Forecast Computation)
description: {"references": ["Vitolo C., Di Giuseppe F., Krzeminski B., San-Miguel-Ayanz J., 2019. A 1980\u20132018 global fire danger re-analysis dataset for the Canadian Fire Weather Indices, Scientific Data. https://doi.org/10.1038/sdata.2019.32", "Di Giuseppe, F., Pappenberger, F., Wetterhall, F., Krzeminski, B., Camia, A., Libert\u00e1, G. and San Miguel, J., 2016. The potential predictability of fire danger provided by numerical weather prediction. Journal of Applied Meteorology and Climatology, 55(11), pp.2469-2491. DOI: https://doi.org/10.1175/JAMC-D-15-0297.1", "Vitolo C., Di Giuseppe F., D'Andrea M., 2018. Caliver: An R package for CALIbration and VERification of forest fire gridded model outputs. PLoS ONE 13(1): e0189419. https://doi.org/10.1371/journal.pone.0189419", "Vitolo C., Di Giuseppe F., D'Andrea M., 2017. caliver R package version 1.0. URL: https://github.com/ecmwf/caliver, DOI: https://doi.org/10.5281/zenodo.582416."]}
DOI: 10.5281/zenodo.1095090
title: Daily Severity Rating - ERA-Interim

description: The Daily Severity Rating (DSR) is a numeric rating of the difficulty of controlling fires. It is based on the Fire Weather Index but more accurately reflects the expected efforts required for fire suppression. This is part of a larger dataset providing gridded field calculations from the Canadian Fire Weather Index System using weather forcings from the European Centre for Medium-range Weather Forecast (ECMWF) ERA-Interim reanalysis dataset (Vitolo et al., 2019; Di Giuseppe et al., 2016). The dataset has been developed through a collaboration between the Joint Research Centre and ECMWF under the umbrella of the Global Wildfires Information System (GWIS), a joint initiative of the GEO and the Copernicus Work Programs. The whole dataset consists of seven indices, each of which describes a different aspect of the effect that fuel moisture and wind have on fire ignition probability and its behavior, if started. The indices are called: Fine Fuel Moisture Code (FFMC), Duff Moisture Code (DMC), Drought Code (DC), Initial Spread Index (ISI), Build Up Index (BUI), Fire Weather Index (FWI) and Daily Severity Rating (DSR). For convenience, each index is archived separately. Data are generated using the open source software GEFF v3.0 (https://git.ecmwf.int/projects/CEMSF/repos/geff), which now uses settings and parameters provided by the JRC (more info here https://git.ecmwf.int/projects/CEMSF/repos/geff/browse/NEWS.md). This dataset can be manipulated using the caliver R package (Vitolo et al. 2017, 2018). Details: File format: netcdf4 Coordinate system: World Geodetic System 1984 (also known as WGS 1984, EPSG:4326). Longitude range: [-180, +180] Latitude range: [-90, +90] Temporal resolution: 1 day Spatial resolution: 0.7 degrees (~80 Km) Spatial coverage: Global Time span: from 1980-01-01 to 2018-12-31
description: Contract 933710 between JRC and ECMWF (Copernicus - Fire Danger Forecast Computation)
description: {"references": ["Vitolo C., Di Giuseppe F., Krzeminski B., San-Miguel-Ayanz J., 2019. A 1980\u20132018 global fire danger re-analysis dataset for the Canadian Fire Weather Indices, Scientific Data. https://doi.org/10.1038/sdata.2019.32", "Di Giuseppe, F., Pappenberger, F., Wetterhall, F., Krzeminski, B., Camia, A., Libert\u00e1, G. and San Miguel, J., 2016. The potential predictability of fire danger provided by numerical weather prediction. Journal of Applied Meteorology and Climatology, 55(11), pp.2469-2491. DOI: https://doi.org/10.1175/JAMC-D-15-0297.1", "Vitolo C., Di Giuseppe F., D'Andrea M., 2018. Caliver: An R package for CALIbration and VERification of forest fire gridded model outputs. PLoS ONE 13(1): e0189419. https://doi.org/10.1371/journal.pone.0189419", "Vitolo C., Di Giuseppe F., D'Andrea M., 2017. caliver R package version 1.0. URL: https://github.com/ecmwf/caliver, DOI: https://doi.org/10.5281/zenodo.582416."]}
DOI: 10.6084/m9.figshare.13139333
title: The vaginal microbiome for PCOS patients

description: <b>Clinical manifestations of polycystic ovary syndrome and associations with the vaginal microbiome</b>
DOI: 10.6084/m9.figshare.13139333.v1
title: The vaginal microbiome for PCOS patients

description: <b>Clinical manifestations of polycystic ovary syndrome and associations with the vaginal microbiome</b>
DOI: 10.6084/m9.figshare.12656165.v9
title: COVID-19 Case Reports in China

description: Chinese prefectural level governments started to report daily confirmed COVID-19 cases online, starting from January 2020. The disclosures may contain the mobility, potential exposure scenario, epidemiological characteristics, and other useful information of individual cases. We organized a group of content coders since early March 2020, kept monitoring the information updates, manually extracted useful information from the public disclosures, and compiled these datasets.We welcome any form of collaborations with us and non-commercial reuse of our dataset. We highly encourage interested parties to examine the data, report errors in our coding, and help us to keep the data updated.The detailed data description can be found on SSRN preprint server https://dx.doi.org/10.2139/ssrn.3705815.
DOI: 10.6084/m9.figshare.13677361
title: Modeling post-logging height growth of black spruce boreal forests by combining airborne LiDAR and forestry maps

description: Training and validation datasets used in the Bour et al. paper. <br>Field description:FID: unique id<br>P95: LiDAR P95 canopy height modelAge: Stand age (LiDAR acquisition year - harvest year)<br>SLP: slope (%)AZM_F: expositionTWI: Topographic Wetness IndexTP_ECO: potential vegetationDP_SUR: surface depositsORIGI: sylvicultural scenariosDEM: digital elevation model (m)DEG_JO: degree day<br>
DOI: 10.5525/gla.researchdata.1020
title: Analysis of the Zika virus capsid-Aedes aegypti mosquito interactome reveals pro-viral host factors critical for the establishment of infection

description: These datasets contain measurements and proteomics data contained in the paper.
DOI: 10.5519/qd.a0mfkut4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (286 records)
DOI: 10.17188/1692502
title: Materials Data on NaThTi2O6 by Materials Project

description: NaThTi2O6 crystallizes in the tetragonal P4/mmm space group. The structure is three-dimensional. Na1+ is bonded to twelve O2- atoms to form NaO12 cuboctahedra that share corners with four equivalent NaO12 cuboctahedra, corners with eight equivalent ThO12 cuboctahedra, faces with two equivalent ThO12 cuboctahedra, faces with four equivalent NaO12 cuboctahedra, and faces with eight equivalent TiO6 octahedra. There are four shorter (2.77 Å) and eight longer (2.95 Å) Na–O bond lengths. Th4+ is bonded to twelve O2- atoms to form ThO12 cuboctahedra that share corners with four equivalent ThO12 cuboctahedra, corners with eight equivalent NaO12 cuboctahedra, faces with two equivalent NaO12 cuboctahedra, faces with four equivalent ThO12 cuboctahedra, and faces with eight equivalent TiO6 octahedra. There are eight shorter (2.60 Å) and four longer (2.77 Å) Th–O bond lengths. Ti+3.50+ is bonded to six O2- atoms to form TiO6 octahedra that share corners with six equivalent TiO6 octahedra, faces with four equivalent NaO12 cuboctahedra, and faces with four equivalent ThO12 cuboctahedra. The corner-sharing octahedra tilt angles range from 0–17°. There are a spread of Ti–O bond distances ranging from 1.90–2.00 Å. There are three inequivalent O2- sites. In the first O2- site, O2- is bonded in a 2-coordinate geometry to two equivalent Na1+, two equivalent Th4+, and two equivalent Ti+3.50+ atoms. In the second O2- site, O2- is bonded in a distorted linear geometry to four equivalent Na1+ and two equivalent Ti+3.50+ atoms. In the third O2- site, O2- is bonded in a distorted linear geometry to four equivalent Th4+ and two equivalent Ti+3.50+ atoms.