cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10260056
title: A new repository of electrical resistivity tomography and ground penetrating radar data from summer 2022 near Ny-Ålesund, Svalbard.

description: We present the geophysical data set acquired in summer 2022 close to Ny-Ålesund (Western Svalbard, Brøggerhalvøya peninsula, Norway) as part of the project ICEtoFLUX (MUR/PRA2021 project-0027). The data set is composed of Electrical Resistivity Tomography (ERT) and GroundPenetrating Radar (GPR) surveys, which are well-known geophysical techniques for the characterization of glacial and hydrological processes and features. 18 ERT profiles and 10 GPR lines were acquired, for a total surveyed length of 9.3 km. The data have been organized in a consistent repository that includes both raw and processed (filtered) data. Some representative examples of 2D models of the subsurface are provided, that is, 2D sections of electrical resistivity (from ERT) and 2D radargrams (from GPR). These examples can support the identification of the active layer and the occurrence of spatial variation of soil conditions at depth. The aim of the investigation is to characterize the role of groundwater flow in correspondence of the active layer as well as through and/or below the permafrost. The data set is of major relevance because scant attention has been paid to the publication of geophysical data from the Ny-Ålesund area so far. Moreover, these geophysical data can foster multidisciplinary scientific collaborations in the fields of hydrology, glaciology, climate, geology, geomorphology, etc. To a large extent, the data set can provide new insight into the hydrological dynamics and polar and climate changes studies on the Ny-Ålesund area.
DOI: 10.5281/zenodo.14622044
title: High-Resolution Canopy Fuel Maps Based on GEDI: A Foundation for Wildfire Modeling in Germany

description: Open access publication under review.

Visit this Earth Engine app to explore the data interactively.

 

Abstract:

Forest fuels are essential for wildfire behavior modeling and risk assessments but difficult to quantify accurately. An increase in fire frequency in recent years, particularly in regions traditionally not prone to fire, such as central Europe, has increased demands for large-scale remote sensing fuel information. This study develops a methodology for mapping canopy fuels over large areas (Germany) at high spatial resolution, exclusively relying on open remote sensing data.

We propose a two-step approach where we first use measurements from NASA’s GEDI instrument to estimate canopy fuel variables at the footprint level, before predicting high-resolution raster maps. Instead of using field measurements, we generate (GEDI-) footprint-level estimates for Canopy (Base) Height (CH, CBH),Cover (CC), Bulk Density (CBD), and Fuel Load (CFL) by segmenting airborne LiDAR point clouds and processing tree-level metrics with allometric crown biomassmodels. To predict footprint-level canopy fuels we fit and tune Random Forest models, which are cross-validated using k-fold Nearest Neighbor Distance Matching.Predictions at >1.6 M GEDI footprints and biophysical raster covariates are combined with a Universal Kriging method to produce countrywide maps at 20-meter resolution.

Agreement (RMSE/R²) with validation data (from the same population) was strong for footprint-level predictions and moderate for map predictions. A validationwith estimates based on National Forest Inventory data revealed low to modest agreement. Better accuracy was achieved for variables related to height (CH, CBH)rather than to cover or biomass (CBD, CFL). Error analysis pointed towards a mixture of biases in model predictions and validation data, as well as underestimation ofmodel prediction standard errors. Contributing factors may be simplification through allometric equations and spatial and temporal mismatch of data inputs.The proposed workflow has the potential to support regions where wildfire is an emerging issue, and fuel and field information is scarce or unavailable.

 

Data:

This repository contains modeling data, model objects (R), and predicted maps. The TIFF-files each have six bands, which includes (1) the final Universal Kriging result, (2) the linear model prediction (3) the prediction of residual Kriging, (4) the Kriging variance, (5) the linear model prediction standard error, and (6) Universal Kriging standard error.

 

Disclaimer:Maps in this repository are predicted using canopy fuel estimates from GEDI measurements. These are limited the region between 51.6° North and South. Map predictions exceeding this range should be considered an extrapolation of the model to an unknown biophysical domain. Error maps (6) can aid in utilizing our canopy fuel maps.
DOI: 10.5281/zenodo.4062356
title: mamenoud/MEMO2_isotopes: v8.1 complete

description: v8 of the dataset. Corresponds to submitted version of D2.2 report.
DOI: 10.5281/zenodo.4268194
title: Data for the publication "Vertical grid refinement for stratocumulus clouds in the radiation scheme of the global climate model ECHAM6.3-HAM2.3-P3"

description: This repository contains the data used to produce the figures in the paper: "Paolo Pelucchi, David Neubauer, Ulrike Lohmann: Vertical grid refinement for stratocumulus clouds in the radiation scheme of the global climate model ECHAM6.3-HAM2.3-P3. Geosci. Model Dev." Note that the scripts can be found in the accompanying package (http://doi.org/10.5281/zenodo.4268168).
DOI: 10.5281/zenodo.4269887
title: tTEM20AAR: a tTEM geophysical dataset

description: tTEM20AAR is a transient electromagnetic geophysical dataset covering the upper Aare Valley, Switzerland. This dataset contains the processed data files (dB/dt magnetic decay curves), the inversion model files (True Resistivity models with 2 different regularisations) and the synthetic forward responses (forward dB/dt magnetic decay curves of the resistivity models).
DOI: 10.5281/zenodo.4284971
title: Focal mechanisms of the Southeastern Alps and surroundings

description: This is a focal mechanism dataset of 772 earthquakes that occurred in the southeastern Alps and surrounding areas ( latitude 45°N-47.5°N and longitude 10°E-15°E) from 1928 to 2019 with 1.8 ≤ M ≤ 6.5.  To provide a comprehensive set of revised information, we collected and revised the focal mechanisms previously published in the literature (883 focal mechanism solutions). Furthermore, depending on the data quality and availability, we computed new focal mechanisms by first arrival polarity inversion (for 108 events) or seismic moment tensor (for 46 events). For each earthquake, we report all the available focal mechanisms and suggest a preferred solution for users who need expeditious information.

The methodologies and data used to obtain the dataset and to outline its main characteristics are described in 

Saraò, A., Sugan, M., Bressan, G., Renner, G., and Restivo, A.: A focal mechanism catalogue of earthquakes that occurred in the southeastern Alps and surrounding areas from 1928–2019, Earth Syst. Sci. Data, 13, 2245–2258, https://doi.org/10.5194/essd-13-2245-2021, 2021
DOI: 10.5281/zenodo.7016491
title: Statistics on caesium 137 deposition around the Fukushima-Daiichi plant after the 2011 accident

description: This dataset has been compiled by members of the Institut de radioprotection et de sûreté nucléaire (IRSN, France)<br> and consists of statistics on caesium 137 deposition around the Fukushima-Daiichi plant after the 2011 accident.<br> <br> These statistics cover each ~5km2 grid cell of an observation field of deposition in Bq.m-2 measured by aerial radiation monitoring.
DOI: 10.5281/zenodo.7756582
title: Storylines of the 2022 UK drought using seasonal hindcasts at Anglian catchments and boreholes

description: In this study, we investigate the drivers of winter rainfall for the region of eastern England supplied by Anglian Water using a large sample of plausible winters in hindcasts from the ECMWF seasonal forecasting system SEAS5. The SEAS5 hindcast dataset (1982-2021) is used to provide a large sample of plausible winters (Dec, Jan, Feb - DJF). A series of meteorological indices (such as NAO, EA, Nino3.4, polar vortex strength and the SST tripole index) describing atmospheric circulation patterns are calculated from both observed winters (ERA5 reanalysis - 1960-2015) and for each winter in the hindcast dataset. K-means clustering of all the calculated indices are used to create clusters with similar characteristics.


Storylines were created to represent plausible pathways of the 2022 drought assuming winter 2022/23 resembled each of the four winter clusters. Storylines was simulated by running GR6J and Aquimod using the top parameter set for the baseline period up until November 2022 after which hindcast rainfall and PET data for each winter (DJF) in the four winter clusters were appended in place of winter 2022/23. This dataset contains simulated river flows and groundwater level for each storyline and for each of the selected river catchments or borehole in the Anglian Water region. Each file is named with the NRFA station id / groundwater borehole name and the cluster number (i.e. C1, C2, C3 or C4).


In the LTA100 experiment, spring (MAM), summer (JJA) and autumn (SON) 2023 were assumed to have 100% long term average (LTA) rainfall by selecting the closest years matching 100% LTA rainfall in the observations. In the LTA60 experiment, it is assumed that summer (JJA) 2023 follow 60% LTA seasonal rainfall.
DOI: 10.5281/zenodo.7765608
title: The data and code for "Gap-Filling of Turbulent Heat Fluxes over Rice–Wheat-Rotation Croplands Using the Random Forest Model""

description: This file contains the dataset and code for the paper "Gap-Filling of Turbulent Heat Fluxes over Rice–Wheat-Rotation Croplands Using the Random Forest Model".
DOI: 10.5285/34a15b96f1134d9e95b9e486d74e49cf
title: ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Nimbus-5 ESMR Sea Ice Concentration, version 1.0

description: This dataset provides Sea Ice Concentration (SIC) for the polar regions, derived from the Nimbus-5 Electrical Scanning Microwave Radiometer (ESMR), which operated between 1972 and 1977. It is processed with an algorithm using the single channel ESMR data (19.35 GHz), and has been gridded at 25 km grid spacing. This is the first version of the product, v1.0. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.
DOI: 10.5518/406
title: HadGEM2 radiative kernels

description: Radiative kernels generated from the HadGEM2-ES climate model, using a pre-industrial climatology. Kernels are provided for both the 38 native model levels in HadGEM2 and the 17 standard CMIP5 pressure levels. Changes in top-of-atmosphere (TOA) radiative flux and surface radiative flux are provided for perturbations in atmospheric temperature of 1 K, specific humidity (change in specific humidity that preserves relative humidity for an increase in temperature of 1 K), surface (skin) temperature of 1 K and surface albedo of 1 % (absolute). For the 38-level kernels the model pressure level and thickness (in pressure coordinates) of the layer is also provided. Contributions to longwave (LW), shortwave (SW) and net fluxes are produced for temperature and water vapour.
DOI: 10.6073/pasta/073a5a67ddba08ba3a24fe85c5154da7
title: Uncalibrated RGB orthomosaic imagery from UAV campaign at Niwot Ridge, 2017.

description: Uncalibrated RGB data were collected as part of unmanned aerial vehicle (UAV)/drone campaign during Summer 2017. The purpose of the project was to investigate snow depth variability and spatiotemporal variations and controls on vegetation productivity within the Niwot Ridge LTER Saddle Catchment.
DOI: 10.6073/pasta/26c848ab288cc14a2edb106f5800cfc8
title: Shear Stress, Biomass, Bulk Density, Organic Matter on the Bank of the York River, VA 2018

description: This dataset includes data used to assess marsh vulnerability to sea-level rise by quantifying marsh erodibility along a salinity gradient in the York River in southeastern Virginia. We measured the erodibility of marshes along a salinity gradient in the York River, a tributary of the Chesapeake Bay (Virginia, USA). We chose five marshes along the York River salinity gradient for this study. Salinity decreases upriver from 18 ppt at the Goodwin Islands to 0 ppt at the Pamunkey Indian Reservation. Within these overall sites, we chose sampling locations along tidal creeks 5-10 m wide, with marsh widths beyond 20 meters and consistent elevations across all study sites. We collected samples from both the tidal channel marsh edge and from the marsh interior. Edge sites were located between the tidal channel and any levee (1 m from edge), while interior sites were located at a measured distance of 10-12 m away from the edge site. All field work was done in July-August 2018, except for the collection of cores for belowground biomass at the Sweet Hall Marsh and Pamunkey Indian Reservation marsh edge sites (September 2018) and elevation profiles of the Pamunkey Indian Reservation (March 2020). Data tables are: 1) shear strength, 2) aboveground biomass, 3) belowground biomass, 4) LOI (loss on ignition), 5) kinematic GPS data along the transects and 6) averages for each station of variables in tables 1, 3 and 4.
DOI: 10.6073/pasta/6a81dcaaa9931c31dfa59132c7c5f829
title: SBC LTER: Ocean: Time-series: Mid-water SeaFET pH and CO2 system chemistry with surface and bottom Dissolved Oxygen at Arroyo Quemado Reef(ARQ), 2012-2017

description: Calibrated pH (Total scale, SeaFET sensor) an disoolved oxygen (miniDOT)data were
 collected from Arroyo Quemado Reef in the Santa Barbara Channel (site ID: ARQ). pH data are
 accompanied by in situ temperature and associated carbonate chemistry parameters. The SeaFET
 instrument is located about 4 meters from the surface, with other moored instruments.
 Associated carbonate chemistry parameters were calculated with the CO2calc programs from
 USGS, and include: partial pressure and fugosity of CO2, concentrations of bicarbonate,
 carbonate and hyrdroxide ion, Omega (saturation state) of calcite and aragonite. Dissolved
 oxygen sensors (miniDOT, PME) were added in 2014, and are mounted near the ocean surface and
 near the seafloor, and also report temperature. All data have been interpolated to a 20
 minute time interval for compatibility with other SBC LTER moored instrument data. Data
 coverage is 2012-07-30 to 2017-03-10.All data from this site have been concatenated with the pH data from
 the other sites and merged into one data package:
 https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-sbc&identifier=6005
DOI: 10.6084/m9.figshare.22584742
title: An extensive spatiotemporal water quality dataset covering four decades (1980-2022) in China

description: This dataset included water quality data for daily, weekly, and monthly in the time period of 1980-2022, with 17 indicators for over 330,000 observations at 2384 sites from inland to coastal/oceanic areas in China.
DOI: 10.7265/n5np22df
title: Allan Hills Stable Water Isotopes
DOI: 10.1594/pangaea.958973
title: GNSS refractometry/reflectometry (GNSS-RR) raw data near Neumayer Station in 2021-2023

description: GNSS refractometry/reflectometry (GNSS-RR) raw data (RINEX 3.02) including GPS, GLONASS, and GALILEO phase, code, and SNR observations. Measured automatically from a high-end GNSS system above (base) and one high-end and one low-cost antenna (rover) below the snow surface. Intended to retrieve surface mass balances from automated, simultaneous, and continuous estimation of snow deposition/ablation, SWE, and density. Measurements are taken in 1s (above snow, needed interval for GNSS reflectometry) and 30s (below snow) intervals. Rinex 3.02 files are stored every 24h and pushed via FTP to a Neumayer III server. Data is available since 26. November 2021.
DOI: 10.17882/74880
title: The ADRIREEF database: natural/artificial reefs and wrecks in the Adriatic Sea

description: The present database collects data for artificial and natural reefs, and wrecks along the Adriatic Sea. Data has been collected from a large survey conducted through the ADRIREEF Interreg projects' partners, undergone a wide data harmonization in order to report answers to a consistent format, integrating survey data with literature data (scientific and grey), and data coming from different research projects. Parameters describing each natural, artificial reef and wreck are referable to four different groups: reef identification and geolocalisation information, summary of the characteristics of the area hosting the reef, aspects of the reefs that may also have an effect on the usage of the reef, present and/or possible future reef exploitation. In order to better visualize data, a webGIS has also been put in place and it is reachable at the address: https://adrireef.github.io/sandbox3/.The database counts 285 observations falling in Italian, Croatian and International waters. The database is available in a unique CSV file, where each element is described by 51 parameters, including coordinates in decimal degrees (WGS84 coordinate reference system) and bottom depth in meters, making data 3D. More information about data and single columns explanation is available in the attached README file.
DOI: 10.20383/102.0486
title: Gaseous HCl ambient intercomparison in Toronto Canada April 2019

description: Comparison of ambient gaseous HCl measurements made by Picarro cavity ring-down analyzer and denuders. Measurements made in Toronto, Ontario, Canada during April 2019.
DOI: 10.25835/0012136
title: Wind Turbine Sound Propagation Data for the Validation of Models

description: Within the project "WEA-Akzeptanz" a model for the propagation of wind turbine noise was developed using the Crank-Nicolson Parabolic Equation method. For the validation of the model, extensive measurement campaigns were carried out, which included the recording of meteorological and acoustic data. Acoustic quantities were measured at several distances to the wind turbine and under various atmospheric conditions. This data set provides ten validation cases and includes the measured and modeled propagation losses as well as the input parameters required for the modeling. The investigated wind turbine is characterized by a hub height of 119 m and a rotor diameter of 114 m. The measured and modeled sound propagation losses were determined between 178 and 535 m as well as between 178 and 845 m distance to the wind turbine. Consequently, no conclusions about the sound emission can be made from published data. The input parameters for the model were derived from the measurements. The ten validation cases particularly differ in the sound propagation direction. For further information, it is referred to "Könecke, S., Hörmeyer, J., Bohne, T. and Rolfes, R. (2021): A new base of wind turbine noise measurement data and its application for the systematic validation of sound propagation models. Submitted to Wind Energy Science." Funding: The project WEA-Akzeptanz (FKZ 0324134A) was funded by the German Federal Ministry for Economic Affairs and Energy.
DOI: 10.25919/3yhq-8a44
title: Database of chemical properties of Australian biomass and waste

description: This project sought to develop a database of fuel and energy characteristics for a range of Australian biomass and wastes to support their use in a range of thermochemical technologies. The database includes biomass sourced from agriculture (wheat straw, cotton trash, sugar cane trash, chicken manure, etc), forestry (mostly woody wastes from different forestry operations including some irrigated by effluent), industrial processing (timber residues, saw dust from timber mills, bagasse from sugar industry, rice hull from rice industry, paper sludge from paper industry, etc) and urban waste (municipal solid waste, green waste and biosolids and sewage from waste water treatment facilities). The database contains relatively simple-to-use information such as proximate analysis, ultimate analysis, calorific value as well as chemical composition of mineral matter to enable project proponents to draw conclusions as to likely plant capacity and annual output. It will be updated and expanded over time as more data are available.
DOI: 10.5066/p9wgnzfg
title: Spatial Database of Known and Potential Cienegas in the Greater Madrean Archipelago Ecoregion

description: This dataset provides location information and some limited attributes of known and potential cienegas in the Madrean Archipelago ecoregion and closely surrounding area. This was created using point data and information provided by Dean Hendrickson and Thomas Minckley, combined with potential locations derived from analysis of classified raster land cover images and other specialized datasets. Cienegas, as defined here, are wetlands in arid and semi-arid regions associated with groundwater or lotic components that ideally result in perennial waters on temporal scales of decades to centuries. Cienegas are typically located at elevations ranging from 0 to 2000m. Cienegas are typified by significant differences in flora and fauna relative to the greater terrestrial conditions in the region in which they are located. Cienegas are freshwater to brackish North American wetlands associated with fluvial systems of arid/semi-arid areas of the southwestern U.S. and northwestern Mexico. Once extensively utilized by the region's indigenous human cultures, as well as early European explorers and settlers, the extent of these aquatic riparian communities has dramatically decreased from historic conditions. These communities are now considered imperiled in North America.
DOI: 10.5067/temsc-3jc62
title: JPL GRACE and GRACE-FO Mascon Ocean, Ice, and Hydrology Equivalent Water Height Coastal Resolution Improvement (CRI) Filtered Release 06 Version 02
DOI: 10.5067/terra/mopitt/mop03j_l3.008
title: MOPITT CO gridded daily means (Near and Thermal Infrared Radiances) V008
DOI: 10.5067/yl8z7micqzf9
title: tavg1_2d_lnd_Nx: MERRA 2D IAU Diagnostic, Land Only States and Diagnostics, Time Average 1-hourly (2/3x1/2L1) Version 5.2.0