Publishing Network for Geoscientific and Environmental Data
Not a member yet
441201 research outputs found
Sort by
Rock texture and EBSD data from the Ilimaussaq complex, South Greenland
No full textTo investigate cumulus and post-cumulus processes within layered igneous intrusions we collected cross-polarised thin section images and electron backscatter diffraction (EBSD) data from the layered nepheline syenites (locally referred to as kakortokites) at Ilimaussaq, South Greenland. EBSD was completed at the University of Leeds on a FEI Quanta 650 FEG-ESEM with AZtec software and an Oxford Symmetry EBSD detector. Energy dispersive spectroscopy (EDS) data was collected to confirm the mineral phases identified by EBSD and to assess any zoning within the minerals
ARK 2016: AWI airborne ultra-wideband radar data in Northeast Greenland at the 79°N Glacier (Nioghalvfjerdsbræ; RESURV79 project)
No full textThis dataset contains airborne radar data acquired using the AWIs multi-channel ultra-wideband radar system (AWI UWB) during the Arctic season of 2016. The profiles extend across the Northeast Greenland Ice Sheet at the 79°N Glacier (Nioghalvfjerdsbræ). The data are available as netCDF files (including waveforms and metadata), KML files of the profile line locations, and quicklook images of the radargrams
Master track of MARIA S. MERIAN cruise MSM134 in 1 sec resolution (zipped, 103 MB)
No full textRaw data acquired by position sensors on board RV MERIAN during expedition MSM134 were processed to receive a validated master track which can be used as reference of further expedition data. During MSM134 the motion reference unit Kongsberg SeaTex AS MRU-5 combined with Kongsberg SeaTex AS Seapath 320 and the GPS receivers Trimble SPS855 and SAAB R4 were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track
Integrated epipelagic (upper 100m) copepod abundance in the Cabo Verde region
No full textDuring several cruises, mesozooplankton samples were collected using vertical hauls of a Multinet Midi (0.25m2 net opening, five nets, 200µm mesh). Samples were formaldehyde preserved (4% in seawater solution), scanned on a Epson V750 flatbed scanner, processed using the Zooprocess macro set (Gorsky et al. 2010) and archived and taxonomically sorted using the Ecotaxa web application (https://ecotaxa.obs-vlfr.fr/). For the reported dataset, image data classified within the larger taxon Copepoda and shallower than 100m were extracted, biomass calculated according to Lehette & Hernandez-Leon 2009, aggregated and are here reported as integrated abundance (ind /m2) and biomass (mg DW / m2)
Noelaerhabdaceae coccolith length (mean, 5th percentile and 95th percentile) over the past 40 million years compiled from the literature
No full textThis dataset contains the data plotted in Figure 5 of the review paper Coccoliths as Recorders of Paleoceanography and Paleoclimate over the Past 66 Million Years by Bolton & Stoll (2025, AREPS; doi:10.1146/annurev-earth-040623-103211). It is a compilation of previously published data on Noelaerhabdaceae coccolith size (mean length and 5th and 95th percentiles where available) over the last 40 million years. The data provide insights into coccolith size evolution, of interest for paleoceanographic and micropaleontological research. Data come from a large number of DSDP/ODP/IODP, NGHP, and MD sediment cores from the Atlantic, Pacific and Indian Oceans, and values are based on (manual and automated) light microscope measurements of Noelaerhabdaceae coccoliths
Physical oceanography during RV HEINCKE cruise HE655/2
No full textConductivity-temperature-depth profiles were measured using a Seabird SBE 911plus CTD during RV HEINCKE cruise HE655/2. The CTD was equipped with duplicate sensors for temperature (SBE3plus), conductivity (SBE4) and oxygen (SBE43). Additional sensors such as a WET Labs C-Star transmissometer, a WET Labs ECO-AFL fluorometer and an altimeter (PSA-916 Teledyne (Benthos)) were mounted to the CTD. Temperature, conductivity and oxygen sensors are calibrated by the manufacturer once a year before being mounted in January. They are used throughout the year and no post-cruise or in-situ calibration is applied. All other sensors are calibrated irregularly. Data were connected to the station book of the specific cruise as available in the DSHIP database. Processing of the data including removal of obvious outliers followed the procedures described in CTD Processing Logbook of RV HEINCKE (hdl:10013/epic.47427). The processing report for this dataset is linked below
Master track from POLAR 5 flight P5-256_COMPEX-EC_2025_2504150801 in 1 sec resolution (zipped, 934 KB)
No full textWater column raw data (Kongsberg EM 122 entire dataset) of RV SONNE during cruise SO309
No full textRaw water column data were collected using the ship's own Kongsberg EM 122 multibeam echosounder during the RV SONNE cruise SO309 CoralNewZ (Cold-water Coral Biology & Geology off Aotearoa New Zealand). The cruise took place between 2025-01-16 and 2025-02-15 (Wellington to Wellington, New Zealand). The primary goal was to search for cold-water coral communities and mounds in the EEZ of New Zealand. Hydroacoustic team included Sam Davidson (NIWA), who was funded by the NIWA internal project OCN2503 – NIWA Strategic Voyage Fund. Bathymetry and backscatter data were recorded using the EM122 deep-water echosounder within 2 main working areas: East of Stewart Island and Chatham Rise (both Pacific Ocean), as well as alone the transits within the EEZ of New Zealand. Data are unprocessed and therefore contain incorrect depth measurements (artifacts). Sound velocity profiles (SVP) were regularly collected in all the main working areas and are part of this dataset. Data can be processed e.g. with the open source software package MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, http://www.mbari.org/products/research-software/mb-system/, 2022)
Global sectoral groundwater withdrawal: estimates and uncertainty analysis
No full textGroundwater, Earth's largest source of liquid freshwater, is vital for sustaining ecosystems and meeting societal needs. However, quantifying global groundwater withdrawals remains a challenge due to significant uncertainties. This dataset provides global groundwater withdrawal estimates from 2001 to 2020, derived using the data-driven Global Groundwater Withdrawal (GGW) model. The GGW model estimates annual groundwater withdrawals across domestic, industrial, and agricultural sectors at a 0.1° spatial resolution. Implemented in Python, it integrates reported country-level data with global grid-based datasets to generate sectoral withdrawal estimates. Additionally, this dataset includes an uncertainty assessment based on key input variables, such as total country-level withdrawals, sector-specific fractions, European sectoral data, irrigation efficiency, and return flow fractions. The uncertainty analysis employs Latin Hypercube Sampling (LHS), with 1000 Monte Carlo simulations to quantify variability