cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7622159
title: Simulated shielding performance of 1024 five-layer permutations of four satellite and radiation shielding materials against trapped particles on GTO

description: The 5Layer.csv file contains ionizing dose results of simulating the shielding performance of all 1024 five-layer permutations of four satellite and radiation shielding materials against trapped particles on GTO.<br> The materials are the aluminium alloy 7075 (Al_7075), polyethylene (G4_POLYETHYLENE), tungsten (G4_W) and the circuit board composite material FR4 (FR4).<br> The particle spectra used for this simulation are provided in the files AE9500keV.mac and AP910MeV.mac.<br> The simulated geometry is provided in the file 5Layer.gdml. The particle spectra were generated with the AE9/AP9 models on SPENVIS, with electron energies starting at 500 keV and proton energies starting at 10 MeV.<br> The simulation was performed with GRAS / Geant4 with the FTFP_BERT physics model using 1.4e+11 electrons and 3.1e+09 protons directed against slabs of shielding materials of 1.5 g/cm2 total depth with each of the five layers being 0.3 g/cm2 in depth.<br> The ionizing dose is recorded in 0.5mm thick silicon plates behind the shielding plates.<br> <br> Column A: ID of the material combination<br> Column B: Name of the top layer material.<br> Column C: Name of the second layer material.<br> Column D: Name of the third layer material.<br> Column E: Name of the fourth layer material.<br> Column F: Name of the bottom layer material.<br> Column G: Ionizing dose due to electrons in units of kRad per month.<br> Column H: Absolute statistical error in the electron dose in kRad per month.<br> Column I: Ionizing dose due to protons in kRad per month.<br> Column J: Absolute statistical error in the proton dose in kRad per month. <br> Column K: Total ionizing dose from electrons and protons in kRad per month.<br> Column L: Absolute statistical error in the total ionizing dose in kRad per month. <br> Column M: Relative statistical error of the total ionizing dose in per cent.<br> Column N: Rank of the material combination sorted from lowest total ionizing dose to highest.<br> Column O: Rank of the material combination sorted from lowest electron dose to highest.<br> Column P: Rank of the material combination sorted from lowest proton dose to highest. All dose values are rounded according to their uncertainty.
DOI: 10.5281/zenodo.8352321
title: Greenhouse gas forcing and climate feedback signatures identified in hyperspectral infrared satellite observations (Data)

description: README file for LBL-ERA5, LBL-GCM, and band datasets used in:<br> Raghuraman et al., 2023, Geophysical Research Letters,<br> "Greenhouse gas forcing and climate feedback signatures identified in hyperspectral infrared satellite observations " Point of Contact: Shiv Priyam Raghuraman, shivr@alumni.princeton.edu LBL-ERA5 6 files (3 experiments with olr and olr_clr output separately): 2003-2021.GFDL.all-2010-o3_*.nc - varying WMGHG,Ts,T,q,clouds, fixed o3 2003-2021.GFDL.fo3_*.nc - varying WMGHG and fixed Ts,T,q,clouds,surface albedo,o3 2003-2021.GFDL.ff_*.nc - fixed Ts,T,q,clouds,surface albedo, varying o3 LBL-GCM (clear-sky only) 4 AM4 files: AM4piclim-control.nc (for ERF) AM4piclim-4xCO2_1xCO2IRF.nc (for ERF) AM4piclim-control_STRAT.nc (for SARF) AM4piclim-4xCO2_1xCO2IRF_STRAT.nc (for SARF) 4 CM3/AM3 files: CTLAM3CM3_P1_APR_allctm_E1_RFM_1CM_A2_WN3_1xCO2N.nc (for \lambda) EXPAM3CM3_P1_APR_allctm_E1_RFM_1CM_A2_WN3_1xCO2N.nc (for \lambda) CTLAM3CM3_P1_2003C.nc (for IRF) CTLAM3CM3_P1_2021C.nc (for IRF) Band-AM4/MERRA-Total: GFDL AM4 with prescribed SSTs and sea-ice (AMIP) and nudged with MERRA winds 2 files: atmos.200001-202112.olr.nc - all-sky OLR atmos.200001-202112.olr_clr.nc - clear-sky OLR Observational and reanalysis files used in paper (AIRS, CERES EBAF and SSF, GISTEMP, ERA5 input data) can be downloaded from their respective websites (see paper's "Open Research" section).
DOI: 10.6084/m9.figshare.24679761.v1
title: Soil Gas Fluxes Around Decommissioned Unconventional Wells in British Columbia Canada

description: Measured fluxes of soil gases (CH4 and CO2) and associated parameters (soil properties, weather conditions and stable carbon isotopes of detected gases) at and around decommissioned unconventional petroleum wells in British Columbia Canada in 2022.
DOI: 10.5066/p9guhx1u
title: Data to support water quality modeling efforts in the Delaware River Basin

description: This data release contains information to support water quality modeling in the Delaware River Basin (DRB). These data support both process-based and machine learning approaches to water quality modeling, including the prediction of stream temperature. Reservoirs in the DRB serve an important role as a source of drinking water, but also affect downstream water quality. Therefore, this data release includes data that characterize both rivers and a subset of reservoirs in the basin. This release provides an update to many of the files provided in a previous data release (Oliver et al., 2021). The data are stored in 3 child folders: 1) spatial information, 2) observations, and 3) model driver data. 1) Spatial Information - Spatial data [...]
DOI: 10.5281/zenodo.7616012
title: Shielding performance of the 98 first chemical elements against trapped particles on GTO

description: The 1LayerElements.csv file contains the shielding performance results for the first 98 chemical elements against trapped particles in Geostationary Transfer Orbit (GTO).<br> The material properties are sourced from the Geant4 material database, with materials referenced by their Geant4 material database names<br> For elements that are gases under normal conditions, the liquified version from the Geant4 database is used if available, denoted by an "l" prefix (e.g., "G4_lH2").<br> The particle spectra used for this simulation are provided in the files AE9500keV.mac and AP910MeV.mac.<br> The simulated geometry is provided in the file 1LayerElements.gdml<br> <br> The particle spectra were generated with the AE9/AP9 models on SPENVIS, with electron energies starting at 500 keV and proton energies starting at 10 MeV.<br> The simulation was performed with GRAS / Geant4 with the FTFP_BERT physics model using 4.3e+10 electrons and 1e+08 protons directed against slabs of shielding materials of 1.5 g/cm2 depth.<br> The ionizing dose is recorded in 0.5mm thick silicon plates behind the shielding plates. Column A: Z-number of the element.<br> Column B: Name of the material as referenced from the Geant4 material database.<br> Column C: Ionizing dose due to electrons in units of kRad per month.<br> Column D: Absolute statistical error in the electron dose due to the statistical nature of the Monte-Carlo simulation in kRad per month.<br> Column E: ionizing dose due to protons in kRad per month.<br> Column F: Absolute statistical error in the proton dose in kRad per month. <br> Column G: Total ionizing dose from electrons and protons in kRad per month.<br> Column H: Absolute statistical error in the total ionizing dose in kRad per month. <br> Column I: Relative statistical error of the total ionizing dose in per cent.<br> Column J: Rank of the material sorted from lowest total ionizing dose to highest.<br> Column K: Rank of the material sorted from lowest electron dose to highest.<br> Column L: Rank of the material sorted from lowest proton dose to highest. All dose values are rounded according to their uncertainty.
DOI: 10.5281/zenodo.7620703
title: Simulated shielding performance of 1728 three-layer permutations of 12 common satellite and radiation shielding materials against trapped particles on GTO

description: The 3Layer.csv file contains ionizing dose results of simulating the shielding performance of all 1728 three-layer permutations of twelve common satellite and radiation shielding materials against trapped particles on GTO.<br> The materials are pure aluminium (G4_Al), the aluminium alloy 7075 (Al_7075), polyethylene (G4_POLYETHYLENE), kevlar (G4_KEVLAR), lead (G4_Pb), tungsten (G4_W), stainless steel (G4_STAINLESS_STEEL), pure carbon fibre (CarbonFibre), the circuit board composite material FR4 (FR4), tantalum (G4_Ta), Teflon (G4_TEFLON) and the titanium alloy 6Al-4V (Ti_6AL_4V).<br> The particle spectra used for this simulation are provided in the files AE9500keV.mac and AP910MeV.mac.<br> The simulated geometry is provided in the file 3Layer.gdml. The particle spectra were generated with the AE9/AP9 models on SPENVIS, with electron energies starting at 500 keV and proton energies starting at 10 MeV.<br> The simulation was performed with GRAS / Geant4 with the FTFP_BERT physics model using 3.9e+10 electrons and 4.7e+09 protons directed against slabs of shielding materials of 1.5 g/cm2 total depth with each of the three layers being 0.5 g/cm2 in depth.<br> The ionizing dose is recorded in 0.5mm thick silicon plates behind the shielding plates.<br> <br> Column A: ID of the material combination<br> Column B: Name of the top layer material.<br> Column C: Name of the middle layer material.<br> Column D: Name of the bottom layer material.<br> Column E: Ionizing dose due to electrons in units of kRad per month.<br> Column F: Absolute statistical error in the electron dose in kRad per month.<br> Column G: ionizing dose due to protons in kRad per month.<br> Column H: Absolute statistical error in the proton dose in kRad per month. <br> Column I: Total ionizing dose from electrons and protons in kRad per month.<br> Column J: Absolute statistical error in the total ionizing dose in kRad per month. <br> Column K: Relative statistical error of the total ionizing dose in per cent.<br> Column L: Rank of the material combination sorted from lowest total ionizing dose to highest.<br> Column M: Rank of the material combination sorted from lowest electron dose to highest.<br> Column N: Rank of the material combination sorted from lowest proton dose to highest. All dose values are rounded according to their uncertainty.
DOI: 10.17864/1947.195
title: Catchment boundaries of ocean drainage basins

description: This dataset contains discretized estimates of the catchment boundaries surrounding the five ocean drainage basins (Atlantic, Pacific, Indian, Arctic and Southern). The catchment boundaries were used to calculate atmospheric moisture fluxes across the catchment boundaries and to initialize airmass trajectories from each point on multiple vertical levels.
DOI: 10.18167/dvn1/xqu8zf
title: Cotton experimental dataset for modeling cultivar * irrigation * fertilization interactions in Greece from 2018 to 2020

description: Cotton dataset collected on HAO-DEMETER research station in Thessaloniki, Greece from 2018 to 2020. The experiment was set up to study 3 agronomic factors: 4 cultivars, 4 levels of irrigation, 2 levels of fertilization. The dataset includes cotton phenology, morphology, physiology, leaf area index, biomass, yield components and fiber quality.
DOI: 10.18739/a2xs5jh16
title: Physical ocean property profiles from Petermann Fjord, Greenland surveyed in 2015 by the Icebreaker I/B Oden

description: The Icebreaker I/B Oden surveyed Petermann Fjord and adjacent Nares Strait in August of 2015. The ocean sampling program included vertical profiles from the surface to the bottom at 46 fixed stations. The vertically profiling CTD sensor (Conductivity-Temperature-Depth) measured temperature and conductivity at 24 Hertz on dual sensors as well as pressure and oxygen. These data are processed following standard processing routines provided by SeaBird Inc. who makes the sensors. Navigational data originates from the ships GPS (Global Positioning System) system and, along with the processing and calibration details, are included in each data file. The data were published in the peer reviewed Journal of Physical Oceanography as Heuze et al. (2017) and more thoroughly as Washam et al. (2018).
DOI: 10.21227/asth-ra98
title: Virtual SAR: A Synthetic Dataset for Deep Learning based Speckle Noise Reduction Algorithms

description: Synthetic Aperture Radar (SAR) images can be extensively informative owing to their resolution and availability. However, the removal of speckle-noise from these requires several pre-processing steps. In recent years, deep learning-based techniques have brought significant improvement in the domain of denoising and image restoration. However, further research has been hampered by the lack of availability of data suitable for training deep neural network-based systems. With this paper, we propose a standard synthetic data set for the training of speckle reduction algorithms. The design of image processing techniques for synthetic aperture radar applications requires testing and validation on real and synthetic images. The Virtual SAR dataset provides synthetic data to support the design and analysis of algorithms to deal with SAR data.
DOI: 10.5066/p9wgzc0o
title: Biological and chemical data from laboratory toxicity exposures of rainbow trout to four wildland fire retardants

description: We determined the acute toxicity of four wildland fire retardants (Phos-Chek 259-Fx, Phos-Chek MVP-Fx, and Phos-Chek LC-95A-Fx, and Phos-Chek LC-95A-R) to two life stages (swim-up fry and young juveniles) of rainbow trout in standardized hard and soft water. The measure of acute toxicity was expressed as both the 96-hour median lethal concentration (96-h LC50, based on mortality) and 96-h median effective concentration (EC50, based on mortality, plus loss of equilibrium and immobilization), which are statistically derived concentrations expected to kill or kill and severely impair, respectively, 50 percent of the test fish in 96 hours. This data set includes the concentration-response data at 24, 48, 72, and 96 hours of exposure for each chemical and measured concentrations of total ammonia in each treatment at 0 and 96 hours. Also included are supportive water quality data measured in each treatment at 0, 48, and 96 hours of exposure and total length and wet weight of the control fish at the end of each test.
DOI: 10.5067/aqua/ceres/ssf1degmonth_l3.004a
title: CERES Level 3 SSF1deg-Month Aqua-MODIS HDF file - Edition 4A
DOI: 10.5281/zenodo.10019342
title: Impact of Convection-permitting and Model Resolution on the Simulation of Mesoscale Convective System Properties over East Asia: companion dataset

description: This folder includes the intermediate data for the following manuscript:
Ding et al., Impact of Convection-permitting and Model Resolution on the Simulation of Mesoscale Convective System Properties over East Asia
The simulations were done using ICON-NWP (ICON Numerical Weather Prediction) model, version 2.6.1, over Asian monsoon region (62E–150E, 5.5N–54.5N) for 2020 summer. At the moment, we upload the intermediate data for MCS tracking. For more data, please contact the authors.
DOI: 10.5281/zenodo.10043984
title: Exploring the critical zone heterogeneity and the hydrological diversity using an integrated ecohydrological model in three contrasted long-term observatories

description: These files provide useful data and supplementary material associated with the publication 'Exploring the critical zone heterogeneity and the hydrological diversity using an integrated ecohydrological model in three contrasted long-term observatories' (MNT information, atmospheric forcings, R scripts used to process and draw the graphs from the EcH2O-iso simulations, and observed water discharges).
DOI: 10.5281/zenodo.10215629
title: Juno Plasma Wave Observations at Europa

description: This is the supporting data set for the paper by the same title published in AGU JGR Space Physics.
AbstractJuno passed by Europa at an altitude of 355 km on 29 September, day 272, 2022. As one of Juno's in situ science instruments, the Waves instrument obtained observations of plasma waves that are essential contributors to Europa's interaction with its environment. Juno observed chorus, a band at the upper hybrid frequency providing the local plasma density, and electrostatic solitary structures in the wake. In addition, impulses due to micron-sized dust impacts on Juno were recorded with a local maximum very close to Europa. The peak electron density near Europa was ∼ 330 cm−3 while the surrounding magnetospheric density was in the range of 50 to 150 cm−3. There was a significant separation between the Europa flyby and Juno's crossing of Jupiter's magnetic equator, enabling a unique identification of effects associated with the moon as opposed to magnetospheric phenomena normally occurring at the magnetic equator near 10 Jovian radii.
DOI: 10.5281/zenodo.7621281
title: Simulated shielding performance of 1296 four-layer permutations of six common satellite and radiation shielding materials against trapped particles on GTO

description: The 4Layer.csv file contains ionizing dose results of simulating the shielding performance of all 1296 four-layer permutations of six common satellite and radiation shielding materials against trapped particles on GTO.<br> The materials are the aluminium alloy 7075 (Al_7075), polyethylene (G4_POLYETHYLENE), kevlar (G4_KEVLAR), tungsten (G4_W), stainless steel (G4_STAINLESS_STEEL) and the circuit board composite material FR4 (FR4).<br> The particle spectra used for this simulation are provided in the files AE9500keV.mac and AP910MeV.mac.<br> The simulated geometry is provided in the file 4Layer.gdml. The particle spectra were generated with the AE9/AP9 models on SPENVIS, with electron energies starting at 500 keV and proton energies starting at 10 MeV.<br> The simulation was performed with GRAS / Geant4 with the FTFP_BERT physics model using 6.6e+10 electrons and 3.8e+09 protons directed against slabs of shielding materials of 1.5 g/cm2 total depth with each of the four layers being 0.375 g/cm2 in depth.<br> The ionizing dose is recorded in 0.5mm thick silicon plates behind the shielding plates.<br> <br> Column A: ID of the material combination<br> Column B: Name of the top layer material.<br> Column C: Name of the second layer material.<br> Column D: Name of the third layer material.<br> Column E: Name of the bottom layer material.<br> Column F: Ionizing dose due to electrons in units of kRad per month.<br> Column G: Absolute statistical error in the electron dose in kRad per month.<br> Column H: Ionizing dose due to protons in kRad per month.<br> Column I: Absolute statistical error in the proton dose in kRad per month. <br> Column J: Total ionizing dose from electrons and protons in kRad per month.<br> Column K: Absolute statistical error in the total ionizing dose in kRad per month. <br> Column L: Relative statistical error of the total ionizing dose in per cent.<br> Column M: Rank of the material combination sorted from lowest total ionizing dose to highest.<br> Column N: Rank of the material combination sorted from lowest electron dose to highest.<br> Column O: Rank of the material combination sorted from lowest proton dose to highest. All dose values are rounded according to their uncertainty.
DOI: 10.5281/zenodo.7721790
title: A Flat-lying Transitional Free Gas to Gas Hydrate System in a Sand Layer in the Qiongdongnan Basin of the South China Sea

description: Most marine gas hydrate systems follow a vertical pattern with gas hydrate overlying free gas. Here we document the discovery of a novel flat-lying transitional gas to hydrate system in a horizontal sand layer in the Qiongdongnan Basin of the South China Sea. Eight wells were drilled by the Guangzhou Marine Geological Survey in 2021-2022 to investigate the occurrence and mechanisms responsible for the formation of the system. We describe a free gas-bearing sand reservoir at the center of the system sustained by advecting hot fluids and gas; away from the advecting zone, the cooler, surrounding sand reservoir is filled with gas hydrate. Observations at this site show that temperature has a large control on hydrate formation in sands and may be a key mechanism which allows gas migration and hydrate formation in high-saturation hydrate filled sands.
DOI: 10.5281/zenodo.7828929
title: Simulated shielding performance of 2500 two-layer permutations of the first 50 chemical elements against trapped particles on GTO

description: The 2Layer.csv file contains ionizing dose results of simulating the shielding performance of all 2500 two-layer permutations of the first 50 chemical elements against trapped particles in Geostationary Transfer Orbit (GTO). The material properties are sourced from the Geant4 material database, with materials referenced by their Geant4 material database names. For elements that are gases under normal conditions, the liquified version from the Geant4 database is used if available, denoted by an "l" prefix (e.g., "G4_lH2"). The particle spectra used for this simulation are provided in the files AE9500keV.mac and AP910MeV.mac. The simulated geometry is provided in the file 2Layer.gdml. The particle spectra were generated with the AE9/AP9 models on SPENVIS, with electron energies starting at 500 keV and proton energies starting at 10 MeV. The simulation was performed with GRAS / Geant4 with the FTFP_BERT physics model using 2.1e+11 electrons and 8.4e+09 protons directed against slabs of shielding materials of 1.5 g/cm2 total depth with each of the two layers being 0.75 g/cm2 in depth. The ionizing dose is recorded in 0.5mm thick silicon plates behind the shielding plates. Column A: ID of the material combination<br> Column B: Z-Number of Material 1<br> Column C: Z-Number of Material 2<br> Column D: Name of the first layer material.<br> Column E: Name of the second layer material.<br> Column F: Ionizing dose due to electrons in units of kRad per month.<br> Column G: Statistical error in the electron dose in kRad per month.<br> Column H: Ionizing dose due to protons in kRad per month.<br> Column I: Statistical error in the proton dose in kRad per month.<br> Column J: Total ionizing dose from electrons and protons in kRad per month.<br> Column K: Statistical error in the total ionizing dose in kRad per month.<br> Column L: Rank of the material combination sorted from lowest electron dose to highest.<br> Column M: Rank of the material combination sorted from lowest proton dose to highest.<br> Column N: Rank of the material combination sorted from lowest total ionizing dose to highest. All dose values are rounded according to their statistical uncertainty as reported by GRAS/Geant4.
DOI: 10.5281/zenodo.8082305
title: Variation of Electron Lifetime due to Scattering by Electrostatic Electron Cyclotron Harmonic Waves in the Inner Magnetosphere with Electron Distribution Parameters

description: Dataset that supports the Results, Tables and Figures of "Variation of Electron Lifetime due to Scattering by Electrostatic Electron Cyclotron Harmonic Waves in the Inner Magnetosphere with Electron Distribution Parameters".
DOI: 10.5281/zenodo.8305791
title: SXRF data for BAIT project

description: Single-cell element data for phytoplankton collected from around the BATS station as part of the US National Science Foundation-sponsored BAIT project (https://www.bco-dmo.org/project/822807).