cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/uuid:05a7abc4-8f74-43f4-b8b1-7ed7f5629a01
title: Archived 5-min rainfall accumulations from a radar dataset for the Netherlands

description: Quantitative precipitation estimates from two Dutch C-band weather radars on a 5-min temporal and 1 km2 spatial resolution. The weather radars are operated by the Royal Netherlands Meteorological Institute (KNMI). Before 2016, the two radars were located in De Bilt and Den Helder. In the period September 2016 – January 2017, the operational radars were replaced by two dual-polarized weather radars which are located in Herwijnen and Den Helder. The time in the file name is the time of the end of the observation. Data are available within a radius of 200 km from the radar in De Bilt, which covers the entire land surface of the Netherlands. The data has undergone Doppler filtering and (since 2013) also a cloud-mask from satellite data is employed to remove non-meteorological echoes. From the volumetric reflectivity data, a reflectivity composite is constructed per radar at a constant altitude of 1500 meters. The reflectivities of both radars are then combined with a range-weighted compositing procedure. Finally, rainfall is estimated from these reflectivities with a Z-R relationship of Zh = 200 R1.6 (Marshall et al., 1955). A brief description of the dataset is provided by Overeem et al. (2011), which follows almost the same procedure as in Overeem et al. (2009a, 2009b) to obtain composites rainfall depths, the main difference being the spatial resolution, which was increased from 2.4 to 1 km. Besides, the processing started with the radar reflectivity factor composite from both radars, instead of the composite from each radar separately. Another difference is that no additional correction for occultation (beam blockage due to tall buildings in the vicinity of the radars) has been applied. An advantage is that the data availability of the dataset is very high (higher than the 2.4-km dataset). The adjustment with gauge data, described in Overeem et al. (2009a, 2009b, 2011), has been omitted. As a consequence, on average a large underestimation in radar rainfall estimates is present. It used to be quite common that radar data are not adjusted by gauge data in real-time. Hence, this dataset is representative of a radar dataset which would have been available in real-time. Having such a dataset is relevant to mimic real-time applications, such as nowcasting, for many events (Imhoff et al., 2020). More background information on the KNMI radars can be found in Beekhuis & Holleman (2008) and Beekhuis and Mathijssen (2018). For more details, see the provided publication links below.
DOI: 10.5067/iss/sageiii/solar_hdf5_l2-v5.2
title: SAGE III/ISS L2 Solar Event Species Profiles (HDF5) V052
DOI: 10.5067/modis/mcd19a2n.nrt.006
title: MODIS/Terra+Aqua Land Aerosol Optical Depth Daily L2G Global 1km SIN Grid
DOI: 10.5067/modis/mod07_l2.006
title: MOD07_L2 MODIS/Terra Temperature and Water Vapor Profiles 5-Min L2 Swath 5km
DOI: 10.5281/zenodo.14178374
title: Data from: Towards a high quality in-situ observation network for oxygenated volatile organic compounds (OVOCs) in Europe: transferring traceability to the International System of Units (SI) to the field

description: Dataset provided in a zip file comprising ten json files. The files include results from several experiments performed to assess the protocols developed to produce two types of working standards for selected oxygenated volatile organic compounds (OVOCs) traceable to the international system of units (SI). The first type of working standards is based on the dilution with dry nitrogen of SI-traceable reference gas mixtures of acetaldehyde, acetone, ethanol, methacrolein, MEK, methanol and MVK in nitrogen. The second type of working standards is based on certified spiked whole air samples containing the selected OVOCs. The target amount-of-substance fraction of these working standards was 10 nmol/mol.
description: This work is part of the project 19ENV06 MetClimVOC, which has received funding from the European Metrology Programme for Innovation and Research (EMPIR) cofinanced by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.3986872
title: GLC_FCS30: Global land-cover product with fine classification system at 30 m using time-series Landsat imagery

description: A novel global 30-m land-cover product with a fine classification system for the year 2015 (GLC_FCS30-2015). The product was produced by combining time-series of Landsat imagery and high-quality training data from the GSPECLib (Global Spatial Temporal Spectra Library) on the Google Earth Engine computing platform. First, the global training data from the GSPECLib were developed by applying a series of rigorous filters to the MCD43A4 NBAR and CCI_LC land-cover products. Secondly, a local adaptive random forest model was built for each 5°×5° geographical tile by using the multi-temporal Landsat spectral and textures features of the corresponding training data, and the GLC_FCS30-2015 land-cover product containing 30 land-cover types was generated for each tile.
DOI: 10.5281/zenodo.4302811
title: The dataset of figures for "The GPU version of LICOM3 under HIP framework and its large-scale application" (updated)

description: A high-resolution (1/20°) global ocean general circulation model with Graphics processing units (GPUs) code implementations is developed based on the LASG/IAP Climate system Ocean Model version 3 (LICOM3) under Heterogeneous-compute Interface for Portability (HIP) framework. The dynamic core and physics package of LICOM3 are both ported to the GPU, and 3-dimensional parallelization is applied. The HIP version of the LICOM3 (LICOM3-HIP) is 42 times faster than what the same number of CPU cores dose, when 384 AMD GPUs and CPU cores are used. The LICOM3-HIP has excellent scalability; it can still obtain speedup of more than four on 9216 GPUs comparing to 384 GPUs. In this phase, we successfully performed a test of 1/20° LICOM3-HIP using 6550 nodes and 26200 GPUs, and at the grand scale, the model’s time to solution can still obtain an increasing, about 2.72 simulated years per day (SYPD). The high performance was due to putting almost all of computation processes inside GPUs, and thus greatly reduces the time cost of data transfer between CPUs and GPUs. At the same time, a 14-year spin-up integration following the phase 2 of Ocean Model Intercomparison Project (OMIP-2) protocol of surface forcing has been conducted, and the preliminary results have been evaluated. We found that the model results have little differences from the CPU version. Further comparison with observations and lower-resolution LICOM3 results suggests that the 1/20° LICOM3-HIP can not only reproduce the observations, but also produce much smaller scale activities, such as submesoscale eddies and frontal scales structures.
DOI: 10.5281/zenodo.4395968
title: Spatially Resolved Infrared Radiofluorescence (SR IR-RF) Image Data

description: This dataset contains measurement sequences and data output <br> of spatially resolved infrared radiofluorescence (SR IR-RF) measurements<br> on K-feldspar samples carried out at the IRAMAT-CRP2A, UMR 5060, CNRS-Université Bordeaux Montaigne (France)<br> in 2019. The data analysis was performed in 2020. The data may serve as reference data and allow detailed inspection by others to <br> verify or advance the used analysis procedures. Along with the raw image data (TIF-files), the datasets also contain documented R scripts used for data processing and partly treated data as an example. To reproduce the full data analysis, additional software is needed; not part of this repository. Further details can be found in the README.md (README.html), which is part of the dataset.
description: The creation and the analysis of this dataset was supported by the LaScArBx LabEx, a programme supported by the ANR - n˚ ANR-10-LABX-52. The work of Sebastian Kreutzer in 2020 has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 844457 (CREDit).
DOI: 10.5281/zenodo.5078669
title: Dataset for "Climatic Variation Drives Loss and Restructuring of Carbon and Nitrogen in Boreal Forest Wildfire"

description: This dataset is uploaded to support the report 'Climatic Variation Drives Loss and Restructuring of Carbon and<br> Nitrogen in Boreal Forest Wildfire' published in the journal Biogeosciences. See README file for more details.
DOI: 10.5281/zenodo.5171712
title: Multi-resolution dataset for photovoltaic panel segmentation from satellite and aerial imagery

description: A photovoltaic (PV) dataset from satellite and aerial imagery. The dataset includes three groups of PV samples collected at the spatial resolution of 0.8m, 0.3m and 0.1m, namely PV08 from Gaofen-2 and Beijing-2 imagery, PV03 from aerial photography, and PV01 from UAV orthophotos. PV08 contains rooftop and ground PV samples. Ground samples in PV03 are divided into five categories according to their background land use type: shrub land, grassland, cropland, saline-alkali, and water surface. Rooftop samples in PV01 are divided into three categories according to their background roof type: flat concrete, steel tile, and brick. Data document can refer to the preprint https://essd.copernicus.org/preprints/essd-2021-270/
description: Data document can refer to the preprint https://essd.copernicus.org/preprints/essd-2021-270/
DOI: 10.5281/zenodo.5532710
title: A new sampling capability for uncertainty quantification in the Ice-sheet and Sea-level System Model v4.19 using Gaussian Markov random fields -- Datasets and results

description: Data archives for test experiments (Section 3) and Pine Island Glacier application (Section 4) from the manuscript "Kevin Bulthuis and Eric Larour, A new sampling capability for uncertainty quantification in the Ice-sheet and Sea-Level System Model v4.19 using Gaussian Markov random fields" Source code is available at https://doi.org/10.5281/zenodo.5532775.
description: {"references": ["Kevin Bulthuis and Eric Larour (2021), A new sampling capability for uncertainty quantification in the Ice-sheet and Sea-level System Model v4.19 using Gaussian Markov random fields"]}
DOI: 10.5281/zenodo.5596898
title: Database of Last Interglacial sea level indicators from the Bahamas, Turks and Caicos, and the east coast of Florida, USA

description: This is a compilation of stratigraphic constraints and relevant U-series ages from the Last Interglacial period taken from samples in the Bahamas, Turks and Caicos, and the east coast of Florida, USA. It has been exported from the World Atlas of Last Interglacial Shorelines (WALIS) database (https://warmcoasts.eu/world-atlas.html).
DOI: 10.5281/zenodo.5669136
title: ESMAC Diags data

description: This file includes all input data for <strong>version 1.0.0-alpha</strong> of Earth System Model (ESM) aerosol-cloud diagnostics package (<strong>ESMAC Diags</strong>) that facilitate routine evaluation of aerosols, clouds and aerosol-cloud interactions simulated by the Department of Energy’s (DOE) Energy Exascale Earth System Model (E3SM). It also includes preprocessed E3SM output that are used in the manuscript "<em>Earth System Model Aerosol-Cloud Diagnostics Package (ESMAC Diags) Version 1: Assessing E3SM Aerosol Predictions Using Aircraft, Ship, and Surface Measurements</em>" submitted to <em>Geoscientific Model Development</em>. The corresponding code is released as tag v1.0.0-alpha in github: https://github.com/eagles-project/ESMAC_diags.
description: Work is supported by the Enabling Aerosol-cloud interactions at GLobal convection-permitting scalES (EAGLES) project (74358), funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, Earth System Model Development (ESMD) program area.
DOI: 10.5281/zenodo.5771527
title: Influence of organic aerosol composition determined by offline FIGAERO-CIMS on particle absorptive properties in autumn Beijing

description: Data used in the Figures
DOI: 10.5281/zenodo.7893387
title: Model output for "A high-resolution physical-biogeochemical model for marine resource applications in the Northwest Atlantic (MOM6-COBALT-NWA12)"

description: This dataset contains the numerical model output files that were used in the analysis presented in "A high-resolution physical-biogeochemical model for marine resource applications in the Northwest Atlantic (MOM6-COBALT-NWA12)", submitted to Geoscientific Model Development.
DOI: 10.5439/1157585
title: Radiative Flux Analysis VAP

description: Radiative Flux Analysis VAP
DOI: 10.5519/qd.6l8wl81n
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (65454 records)
DOI: 10.6073/pasta/9733f6b6d2ffd12bf126dc36a763e0b4
title: SOils DAta Harmonization database (SoDaH): an open-source synthesis of soil data from research networks

description: This SOils DAta Harmonization (SoDaH) database is designed to bring together soil carbon data from diverse research networks into a harmonized dataset that can be used for synthesis activities and model development. The research network sources for SoDaH span different biomes and climates, encompass multiple ecosystem types, and have collected data across a range of spatial, temporal, and depth gradients. The rich data sets assembled in SoDaH consist of observations from monitoring efforts and long-term ecological experiments. The SoDaH database also incorporates related environmental covariate data pertaining to climate, vegetation, soil chemistry, and soil physical properties. The data are harmonized and aggregated using open-source code that enables a scripted, repeatable approach for soil data synthesis.
DOI: 10.1594/pangaea.58410
title: Physical properties of firn core DML03C98_09
DOI: 10.17595/20230217.001
title: Trace gas measurements at Hateruma station in 2018

description: The present data set is time series of trace gases (ethane, propane, ozone, NO, NO2, NOy, and CO) and meteorological parameters measured at Hateruma Island, Japan. Hateruma is the southernmost inhabited island in Japan. It is approximately 250 km east of Taiwan and 500 km southwest of Okinawa Island. The prevailing winds at Hateruma are southeastely in summer and northwesterly in winter.
DOI: 10.17863/cam.65133
title: Z2F Brazil Observational used for CRI-STRAT 2 Evaluation

description: Data from Z2F field campaign used for evaluation of CRI-STRAT 2 mechanism in UKCA. See 'Z2F_description.doc' for a detailed description.
DOI: 10.17882/53974
title: Fate of terrestrial runoffs on the coastal zone of Noumea (New-Caledonia) : Moorings and CTD profiles

description: As the main city of New Caledonia, Nouméa, rapidly expends, the amount of anthropogenic compounds it releases to the nearby lagoon increases. These human-induced bulks are then transported through terrestrial runoffs and can stress sensitive ecosystems. Besides, the area faces recurring atmospheric extreme events, with more than one cyclone and two tropical depressions every year. The heavy downpours and devastating winds such events carry have the potential to alter the lagoon water mixing and bring human-induced matter up to usually undisturbed areas. Therefore, in order to understand the spatial extent and the propagation kinetics of runoff plumes produced by these events, observations (CTD profiles and pressure, temperature and conductivity moorings) have been conjointly conducted over the 2016-2017 tropical summer (from December to April). During this period the lagoon encountered two major events: Cook cyclone and a moderate tropical depression. Sampling strategy available on Sextant - Marine Geographic Information System. More information on PRESENCE project.
DOI: 10.25835/0084787
title: Supplementary material to 'Mesoscale nesting interface of the PALM model system 6.0'

description: Source code, setup files and analysis scripts
DOI: 10.25921/pe39-sx75
title: ATOMIC aircraft AXBT: Subsurface ocean temperature measurements from Airborne eXpendable BathyThermographs (AXBT) deployed from N43 aircraft, Barbados: Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign 2020-01-19 to 2020-02-11 (NCEI Accession 0220436)

description: The Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign (ATOMIC) was a field campaign held January-February 2020 in the tropical North Atlantic east of Barbados. The campaign, the U.S. complement to the European field campaign called EUREC4A, was aimed at better understanding cloud and air-sea interaction processes. ATOMIC included measurements from a NOAA WP-3D Orion "Hurricane Hunter" aircraft, the research ship Ronald H. Brown, and unpiloted vehicles launched from Barbados and from the Ronald H. Brown. This accession contains AXBT data in netCDF files.
DOI: 10.25925/4j3f-he27
title: Global geological CH4 emission grid files
DOI: 10.48529/yqn3-zv74
title: Fifth Integrated Household Survey 2019-2020
title: MWI_2019_IHS-V_v05_M
DOI: 10.5281/zenodo.7893727
title: Model input for "A high-resolution physical-biogeochemical model for marine resource applications in the Northwest Atlantic (MOM6-COBALT-NWA12)"

description: This dataset contains the numerical model input files that were used to produce the model simulation presented in "A high-resolution physical-biogeochemical model for marine resource applications in the Northwest Atlantic (MOM6-COBALT-NWA12)". When using these files to run a model, most files should be placed inside a directory named INPUT/ that resides in the working directory where the model is being run. The following files should be at the top level in the working directory: data_table, diag_table, field_table, input.nml. For large files, a subset in time is provided for the first year of the simulation. This dataset does not include the ERA5 atmospheric data, which can be downloaded directly from https://doi.org/10.24381/cds.adbb2d47. Portions of the initial and boundary condition data were generated using E.U. Copernicus Marine Service Information: \url{https://doi.org/10.48670/moi-00021}, \url{https://doi.org/10.48670/moi-00148}. Refer to the manuscript for references to other data sources.
DOI: 10.1594/pangaea.263757
title: (Figure 2) Stable isotopes on planktic foraminifera of sediment core MD01-2378
DOI: 10.1594/pangaea.914805
title: Continuous meteorological observations at station Ny-Ålesund (2020-01)
DOI: 10.1594/pangaea.925619
title: Continuous meteorological observations at station Ny-Ålesund (2020-06)
DOI: 10.1594/pangaea.925622
title: Continuous meteorological observations at station Ny-Ålesund (2020-08)
DOI: 10.1594/pangaea.927607
title: Hydrographical time series data of the littoral zone of Kongsfjorden, Svalbard 2019

description: The dataset contains temperature, salinity, oxygen saturation, chlorophyll a and turbidity data from the AWIPEV underwater observatory from the year 2019 in a temporal resolution of 1 hour. The cabled observatory is located in 12m water depth and comprises single or multiple sensors for a specific parameter (see https://www.awi.de/en/science/biosciences/shelf-sea-system-ecology/main-research-focus/cosyna/underwater-node-spitsbergen.html). For a detailed description of the data see associated metadatafile "metadata_svulobs_2019_hydrography.pdf"
DOI: 10.1594/pangaea.942427
title: Geomorphological landslide inventory map of the Daunia Mountains, Southern Italian Apennines

description: We present a Geomorphological Landslide Inventory Map prepared for the Daunia Southern Apennines (Puglia region, south Italy) territory. The map provides information on the spatial distribution, type of movement and relative age of more than 17,000 landslides recognised on a territory of about 1800 km2. The map also provides information on areas with widespread landslides and geomorphological elements in relation to the slopes evolution and dynamics. It was produced through the interpretation of over 350 black and white stereoscopic aerial photographs, taken in the years 1954/55 and 2003, at a scale of approximately 1:33,000, aided by campaign checks. The 2003 aerial photographs were systematically examined over the entire study area, and the interpretation was integrated locally by observation and comparison of the 1954/55 images in complex geomorphological and geological settings, in densely vegetated and urbanized areas. The interpretation of the aerial photographs was carried out using multiple techniques for digital stereoscopic vision. The photo-interpreted thematic information was transferred to a topographic base compatible with a scale of 1:5,000.
description: Project: Valutazione integrata di dissesti geo-idrologici nella Regione Puglia, modelli interpretativi dei fenomeni e definizione di soglie di pioggia per il possibile innesco di frane superficiali, Web: https://www.irpi.cnr.it/en/project/geopuglia/, Award: POR Puglia 2014-2020, Asse V - Azione 5.1
DOI: 10.17632/3g6b5ynrdb.2
title: Comprehensive bathymetry and intertidal topography of the Amazon estuary

description: This dataset contains the following maps: 1) Bathymetry of the Amazon estuary (Bathymetry.tif and Bathymetry.nc); Elevation in meters relative to the EGM2008 geoid. 2) Topography of the non-forested portion of the lower Amazon floodplain (Topography.tif and Topography.nc); Elevation in meters relative to the EGM2008 geoid. 3) Flood frequency for the period 2015 to 2018 (FloodFrequency_15to18.tif and FloodFrequency_15to18.nc); Values ranging from 0 to 100%. 4) Unified mapping of the Amazon estuary: merge of bathymetry, topography, MERIT, and GEBCO products (DEM_AMestuary.tif and DEM_AMestuary.nc); Elevation in meters relative to the EGM2008 geoid. 5) Boundaries of each domain of the unified mapping (domain_boundary.shp). 6) Code example to read netcdf files in MATLAB (read_netcdf.m).
DOI: 10.18140/flx/1669632
title: FLUXNET-CH4 CN-Hgu Hongyuan

description: This is the FLUXNET-CH4 version of the carbon flux data for the site CN-Hgu Hongyuan.
DOI: 10.25338/b89g9h
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.25921/x9q5-9745
title: ATOMIC aircraft remote sensing cloud, rain, wind, wave: Cloud and precipitation parameters and 10-meter wind speed estimated from remote sensing instruments aboard N43 aircraft in the North Atlantic Ocean, Barbados: Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign 2020-01-17 to 2020-02-11 (NCEI Accession 0220625)

description: The Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign (ATOMIC) was a field campaign held January-February 2020 in the tropical North Atlantic east of Barbados. The campaign, the U.S. complement to the European field campaign called EUREC4A, was aimed at better understanding cloud and air-sea interaction processes. ATOMIC included measurements from a NOAA WP-3D Orion "Hurricane Hunter" aircraft, the research ship Ronald H. Brown, and unpiloted vehicles launched from Barbados and from the Ronald H. Brown. This accession contains remote sensing data in netCDF files.
DOI: 10.25925/20210517
title: Multi-laboratory compilation of atmospheric carbon dioxide data for the years 2020-2021; obspack_co2_1_NRT_v6.1.1_2021-05-17

description: This product is constructed using the Observation Package (ObsPack) framework [Masarie et al., 2014; www.earth-syst-sci-data.net/6/375/2014/]. The framework is designed to bring together atmospheric greenhouse gas (GHG) observations from a variety of sampling platforms, prepare them with specific applications in mind, and package and distribute them in a self-consistent and well-documented product. ObsPack products are intended to support GHG budget studies and represent a new generation of cooperative value-added GHG data products.
DOI: 10.48529/g2p9-9r19
title: Fourth Integrated Household Survey 2016-2017
title: MWI_2016_IHS-IV_v04_M
DOI: 10.5067/aura/omi/data3001
title: OMI/Aura TOMS-Like Ozone, Aerosol Index, Cloud Radiance Fraction Daily L3 Global 1.0x1.0 deg
DOI: 10.5258/soton/wp00670
title: Global 1km Population Individual countries

description: RF-based aggregated (from 100m) gridded population distribution datasets produced in the framework of the Global Project