cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5880/g3p.2023.001
title: Global Gravity-based Groundwater Product (G3P)

description: The Global Gravity-based Groundwater Product (G3P) provides groundwater storage anomalies (GWSA) from a cross-cutting combination of GRACE/GRACE-FO-based terrestrial water storage (TWS) and storage compartments of the water cycle (WSCs) that are part of the Copernicus portfolio. The data set comprises gridded anomalies of groundwater, TWS, and the WSCs glacier, snow, soil moisture and surface water bodies plus layers containing uncertainty information for the individual data products. All WSCs are spatially filtered with a Gaussian filter to be compatible with TWS. Spatial coverage is global, except Greenland and Antarctica, with 0.5-degree resolution. Temporal coverage is from April 2002 to December 2020 with monthly temporal resolution. Gridded data sets are available as NetCDF files containing variables for the parameter value as anomaly in mm equivalent water height and the parameter’s uncertainty as mm equivalent water height. 
 
The latest version of the data is visualized at the GravIS portal: https://gravis.gfz-potsdam.de/gws. From GravIS, the data is also available as area averages for several large river basins and aquifers, as well as for climatically similar regions. 
 
G3P was funded by the EU Horizon 2020 programme in response to the call LC-SPACE-04-EO-2019-2020 “Copernicus evolution – Research activities in support of cross-cutting applications between Copernicus services” under grant agreement No. 870353. 
 
 --------------------------------------------------------------------------------------------- 
 
 Version History: 
 
 10 March 2023: 
 Release of Version v1.11. This is the initial release of the data.
DOI: 10.5880/gfz.1.3.2024.001
title: Surface Water Storage and Groundwater Storage from Satellite Data in the Northern East-African Rift Region

description: The data set provides surface water storage (SWS) and groundwater storage (GWS) data for the Northern East African Rift region. 
 
SWS is estimated from a combination of lake water levels observed with satellite altimetry and water surface area derived from the water occurrence maps. The truncated pyramid formula estimates water volume change from these two data sets. The volume change is then converted to surface water storage and uniformly distributed over the lake surface, leading to SWS. To match the spatial resolution of SWS with the spatial resolution of terrestrial water storage (TWS), the resulting maps are spatially Gaussian filtered, half-width 250km. 
 
TWS, as observed with the GRACE and GRACE-FO satellite mission, monitors the sum of changes in the water storage compartments SWS, GWS, snow and ice, and root-zone soil moisture (RZSM). Thus, to estimate GWS for this data set, the water storage compartments are subtracted from TWS. Here, we neglect snow and ice. 
 
The temporal coverage of the data is from April 2020 to May 2023.
DOI: 10.5880/icdp.5071.005
title: Thermal property data of drill cores of ICDP project DIVE (5071) and surface samples in the Ivrea-Verbano Zone

description: This data set was collected in the frame of the ICDP drilling project DIVE (Drilling the Ivrea-Verbano ZonE) to determine the thermal properties of lower crustal lithologies and their variabilities. Two boreholes were drilled, the first 5071_1_B (in Ornavasso, final depth: 578.5 m) intersects the amphibolite-facies metasedimentary succession of the Ivrea-Verbano Zone, and the second borehole 5071_1_A (in Megolo, final depth: 909.5 m) is located within the mafic complex. 
Thermal properties were measured on fresh drill cores from the two DIVE boreholes and surface samples collected from nearby outcrops. The data set comprises thermal conductivity (TC), thermal diffusivity (TD), and specific heat capacity (Cp) measurements as well as measurements on concentrations of heat producing elements (HPE) Uranium (U), Thorium (Th), and Potassium (K) and the calculated radiogenic heat production (A).
DOI: 10.5880/fidgeo.2025.063
title: Biogeochemistry and qPCR data for microbial community adaptation to brackish water rewetting in a coastal peatland

description: Coastal wetlands can serve as natural laboratories for assessing the future impacts of sea-level rise and the intricacies of the effect of sulfate (SO42-) on emissions of greenhouse gases, such as methane (CH4) and carbon dioxide. In the case of previously drained and freshened wetlands, we can observe how freshwater terrestrial microbial communities react and adapt to intrusion of SO42- rich saline waters. We conducted a 3-month anoxic incubation experiment with soil extracted from a peatland on the German Baltic coast which was rewetted with brackish water in late 2019 to examine how microbial communities at the site had adapted to the new conditions after two years. Soil slurries were incubated at a moderate temperature of 15 °C at two different salinities (reflecting surface water and average peat soil water salinity) and sampled at 8 timepoints. At each timepoint 5 replicates of each treatment were destructively harvested and sampled for concentrations of CH4, dissolved inorganic carbon (DIC), total aqueous organic carbon, SO42-, ammonium, and other major ions, pH values, qPCR analysis, and δ13DIC and δ13CH4 values.
DOI: 10.5880/digis.2025.016
title: Integrated Whole-Rock Geochemistry and Isotopic dataset of the Vitória Dike Swarm

description: This dataset includes new geochemical and isotopic analyses for 10 samples from the Vitória dike swarm in southeastern Brazil. Analytical work was conducted at the Geoanalítica Core Facility of the Instituto de Geociências, University of São Paulo, and at the Geochronology Laboratory of the University of Brasília, both in Brazil.
description: The DIGIS geochemical data repository is a research data repository in the Earth Sciences domain with a specific focus on geochemical data. The repository archives, publishes and makes accessible user-contributed, peer-reviewed research data in standardised form (EarthChem Team, 2022, https://doi.org/10.26022/IEDA/112263) that fall within the scope of the GEOROC database (https://georoc.eu). All submissions of new data will be considered for inclusion in the GEOROC database. It is hosted at GFZ Data Services through a collaboration between the Digital Geochemical Data Infrastructure (DIGIS) for GEOROC 2.0 (https://digis.geo.uni-goettingen.de) and the GFZ German Research Centre for Geosciences.
DOI: 10.15468/dl.2vny85
title: Occurrence Download

description: A dataset containing 378 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((119.32839 29.4082,121.23214 29.4082,121.23214 30.93944,119.32839 30.93944,119.32839 29.4082))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Araliaceae"
 ]
}

 The dataset includes 378 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044064-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5880/gfz.4.2.2021.003
title: Stress strain data of experimentally deformed Carrara marble in the semi-brittle field

description: The data set contains stress-strain data of Carrara marble experimentally deformed in triaxial compression at temperatures of 20 – 800°C, confining pressures of 30 – 300 MPa, and strain rates between 10-3 and 10-6 s-1. This range covers conditions, at witch marble deforms in the semi-brittle regime, i.e., strength depends on all parameters, but with different sensitivity. Semi-brittle deformation behavior is expected to be important in the mid continental crust. The experiments were conducted in the Experimental Rock Deformation Laboratory of the GFZ German Research Centre for Geosciences in Potsdam, Germany. The data are separated into 91 individual ASCII files, one for each sample. The corresponding temperature, pressure and strain rate conditions are listed in Tab. 1. of the data description and in the associated work by Rybacki et al. (submitted).
description: Cylindrical samples were prepared from Carrara marble (Bianco Lorano, Apuane Alps, Italy). Samples denoted CMxx, where xx is sample number, were 20 mm long and 10 mm in diameter; samples Mbxx were 60 mm long and 30 mm in diameter. Both set of samples were dry and deformed in two different deformation apparatuses using Argon gas as confining medium. Raw data were axial force and axial displacement, measured with a load cell and LVDT, respectively. Raw data (axial force and displacement) were converted to stress and strain assuming constant volume deformation. All data are corrected for system compliance and jacket strength.
DOI: 10.5880/gfz.dmjq.2025.007
title: Results of CO2 flux measurements and seismic catalogue related to the August 2024 eruption at Reykjanes, SW Iceland

description: Here we present data on the spatiotemporal distribution of seismicity and CO2 flux from the highly active Svartsengi–Eldvörp volcanic system (hereafter referred to as Svartsengi) on the Reykjanes Peninsula. Data were collected between July and September 2024. The area is marked by repeated fissure eruptions associated with rapid magma propagation since November 2023. The eruptions are part of an ongoing volcanic sequence with intermittent pauses. The seismic and gas flux datasets support the idea, that multidisciplinary approaches are important for the identification of potential eruption sites and an improved hazard assessment in volcanic areas.
DOI: 10.5880/fidgeo.2025.047
title: AFG - Active Faults Greece: a comprehensive geomorphology-based 1:25,000 fault database

description: Greece is Europe’s most seismically active nation, as it is being deformed by an active subduction system and one of the world’s fastest-spreading rifts. Onshore active faults pose seismic hazard that cannot be reliably assessed in the absence of a comprehensive map of potential earthquake sources. Here, we use high-resolution Digital Elevation Models (DEMs), in conjunction with hillshades and slope models, to map and characterise faults in Greece at a scale of 1:25000. The Active Faults Greece (AFG) database records a total of 3815 fault-traces assigned to 892 interpreted faults. Of the AFG traces, 53% were mapped here for the first time, with their geometries and slip-sense constrained by displacement of landscape features. AFG includes &gt;2000 active and 1632 probably active fault-traces, while 30 traces result from historic surface-rupturing earthquakes since 464 BC. About 57% of faults exhibit strong depositional control (DC) on sedimentation patterns, with active faults being characterised by approximately equal numbers of sharp (32%), moderate (29%) and rounded (29%) scarps. AFG is the first fault database in Greece generated using nationwide interpretation of geomorphology and has applications in paleoseismology, seismic-hazard assessment, mineral-resources exploration, and resilience planning. 
 
Data Access: 
- Download archive version via GFZ Data Services (upper left) 
- Web-Map Server: https://experience.arcgis.com/experience/a6c85b1edf9d4d17a3f01a70cef6d2b2 
- GIS Users: https://services2.arcgis.com/T7iULq65Kp9Elquk/arcgis/rest/services/Active_Faults_Greece/FeatureServer 
- Layerfiles for use in ArcGIS Pro and QGIS: https://noaig.maps.arcgis.com/sharing/rest/content/items/4b93c25b931744dabc4851abf9c8ae38/data
DOI: 10.15468/dl.86ut38
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sphaerosyllis lateropapillata",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 51 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044065-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4e4xbe
title: Occurrence Download

description: A dataset containing 51081 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 9.085278",
 "DecimalLatitude is less than or equal to 14.085278",
 "DecimalLongitude is greater than or equal to -15.0",
 "DecimalLongitude is less than or equal to -10.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 51081 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044036-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7urzgg
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zornia durumuensis",
 "Continent is Africa"
 ]
}

 The dataset includes 42 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044066-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rq4w8w
title: Occurrence Download

description: A dataset containing 57806 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Ulvophyceae, Prasiola, Rosenvingiella, Phaeophyceae, Florideophyceae, Bangiophyceae, Compsopogonophyceae, Stylonematophyceae)"
 ]
}

 The dataset includes 57806 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044049-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21410/7e4/xwklez/v9dvcy
title: TheSangh_Nov2025.xlsx

description: Master spreadsheet - November 2025
DOI: 10.15468/dl.zqb3zp
title: Occurrence Download

description: A dataset containing 1192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((101.50898 26.5,101.46585 26.5022,101.45168 26.47601,101.45359 26.46257,101.47508 26.45139,101.46742 26.42431,101.43662 26.41105,101.43116 26.39191,101.40492 26.38585,101.38949 26.36269,101.35102 26.34198,101.34773 26.30622,101.33585 26.28037,101.33575 26.26382,101.29096 26.24172,101.28395 26.21448,101.29009 26.19514,101.25344 26.16296,101.19667 26.13653,101.18274 26.11182,101.17943 26.08982,101.18131 26.03212,101.16265 26.0127,101.18903 25.9946,101.20078 25.97146,101.21686 25.9619,101.2171 25.94682,101.23208 25.91546,101.24807 25.90627,101.24667 25.87949,101.26763 25.87998,101.31844 25.83044,101.32866 25.80239,101.34819 25.79179,101.37719 25.82137,101.39977 25.81369,101.42261 25.81899,101.44033 25.85173,101.45857 25.86544,101.52927 25.86854,101.5403 25.85445,101.55884 25.857,101.5861 25.8494,101.66875 25.86736,101.68425 25.84311,101.68749 25.82418,101.75645 25.82714,101.77715 25.86066,101.79756 25.86251,101.79592 25.88591,101.81274 25.91401,101.83488 25.92603,101.82625 25.94081,101.83483 25.96148,101.82542 25.96844,101.79201 25.96123,101.78421 25.9733,101.78947 26.00477,101.80828 26.00926,101.8151 26.02286,101.78877 26.03973,101.80413 26.05134,101.83179 26.03351,101.83816 26.08666,101.81549 26.0941,101.79636 26.11682,101.79789 26.14871,101.81039 26.15853,101.7954 26.17362,101.77622 26.17572,101.74246 26.21827,101.70175 26.22721,101.69219 26.24794,101.66784 26.23378,101.65286 26.23776,101.63017 26.22787,101.60586 26.26265,101.596 26.26228,101.59645 26.30851,101.62512 26.31981,101.64612 26.30768,101.65931 26.31389,101.6383 26.3219,101.66111 26.35186,101.62819 26.3611,101.63631 26.39005,101.61754 26.41628,101.58537 26.42966,101.56494 26.45758,101.54341 26.46973,101.52615 26.47062,101.50898 26.5),(101.46456 25.8709,101.46385 25.86916,101.46403 25.87021,101.46456 25.8709),(101.45622 25.86607,101.45653 25.86585,101.45664 25.86567,101.45622 25.86607)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1192 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044069-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5880/gfz.1.1.2021.004
title: GNSS-based zenith total delays observed during the MOSAiC Campaign 2019-2020

description: During the transpolar drifting campaign MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) of RV Polarstern (AWI, 2017), GNSS was used among other techniques to monitor variations in atmospheric water vapor. This dataset comprises the estimated antenna position for each hour, the derived zenith total delays including their formal error and quality indicators. The GNSS equipment was installed on July 4th, 2019. For logistical reasons, the receiver was switched off on October 3rd at a position very close to Ny Ålesund, Svalbard. According to the MOSAiC data guidelines data for the following periods are not provided: - September 12, 2019 00:00 to September 26, 2019 12:40 - June 3, 2020 20:36 to June 8, 2020 20:00 - October 2, 2020 04:00 to October 2, 2020 20:00 - October 3, 2020 03:15 to October 4, 2020 17:00 The associated results are scientifically discussed in Männel et al. (2021)
description: The derived RINEX files (https://doi.org/10.5880/GFZ.1.1.2021.003) were processed in a kinematic precise point positioning (PPP) using the Bernese GNSS Software (Dach et al., 2015). For consistency reasons, the CODE MGEX products for satellite orbits, clock corrections, and Earth rotation were used (Prange et al., 2020). Per day 25 zenith total delays are estimated. A detailed processing description is given in Männel et al. (2021). The conversion between zenith total delay and integrated water vapor was performed applying Eq. 2 described in Bevis et al., 1994. The zenith wet delay was computed by subtracting the hydrostatic delay provided by ERA5 from the estimated ZTD values. The method described in Zus et al., 2012 was used to calculate the delays in the weather model analysis. The weighted mean temperature of the atmosphere T_m was calculated from the ERA5 data using Eq. A18 given in Davis et al., 1985. To derive hourly IWV the 3-hourly ERA5 data have been linearly interpolated. The result file contains the following information: • time string (YYYY-MM-DDTHH:MM:SS) • estimated antenna position (longitude, latitude, ellipsoidal height) in the IGS14 reference frame (Altamimi et al., 2016) • zenith total delay and formal error in mm • integrated water vapor in kg m-2 • Bernese quality flag for kinematic coordinates • number of observations within the following hour Epochs with less than 800 observations and epochs with a singular or extrapolated position are not provided.
DOI: 10.5880/gfz.1.1.2021.003
title: Geodetic GNSS data for atmospheric sounding recorded during the MOSAiC Expedition 2019-2020

description: During the transpolar drifting campaign MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) of RV Polarstern (AWI, 2017), GNSS was used among other techniques to monitor variations in atmospheric water vapor. This dataset comprises the RINEX data tracked by a top-side GNSS antenna installed at the compass deck of RV Polarstern. The GNSS equipment was installed on July 4th, 2019. For logistical reasons, the receiver was switched off on October 3rd at a position very close to Ny Ålesund, Svalbard. According to the MOSAiC data guidelines, data for the following periods are not provided in this dataset: - September 12-26, 2019 - June 3-8, 2020 - October 2-3, 2020
description: A JAV_GRANT-G3T antenna without a choke-ring was installed on RV Polarstern’s compass platform around 22m above the waterline. To support reflectometry, the antenna was mounted on a cube-structure together with a side-looking antenna. The geodetic JAVAD_TR_G3TH receiver was stored on the compass platform within a cabinet mounted at the railings, a description is available via sensor.awi.de (Sensor, 2021). The receiver tracked dual-frequency data of GPS, GLONASS, Galileo, BeiDou, and QZSS with a 30s sampling. GNSS raw data were converted using the JPS2RIN converter software 20 (version v.2.0.191). The derived RINEX files (http://acc.igs.org/misc/rinex304.pdf) have been spliced, sampled, and checked using gfzrnx (Nischan, 2016).
DOI: 10.15468/dl.guasg5
title: Occurrence Download

description: A dataset containing 4113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Alytes obstetricans",
 "Year 2024-2025"
 ]
}

 The dataset includes 4113 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044068-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5880/isg.2019.004
title: The KTH geoid based on Least Squares modification of Stokes integral with additive corrections for the Colorado Experiment: ColLSMSA-KTH2019

description: The ColLSMSA-KTH2019 gravimetric geoid model has been computed by the University of Gävle, the Lantmäteriet and the Royal Institute of Technology (KTH) in Sweden. The model has been worked out in the frame of the International Association of Geodesy Joint Working Group 2.2.2 "The 1 cm geoid experiment" and the so called "Colorado experiment". The area covered by the model is 251°E ≤ longitude ≤ 257°E, 36°N ≤ latitude ≤ 39°N with a grid spacing of 1' in both latitude and in longitude. The quasi-geoid is computed using a two-step procedure. First, the terrestrial and de-biased airborne gravity anomalies are gridded using a Remove-Compute-Restore technique and three-dimensional Least Squares Collocation (LSC) with spherical Tscherning and Rapp (1974) type of covariance functions. This step achieves downward continuation of the airborne gravity data and combination with the terrestrial observations. In the second step, the resulting surface gravity anomaly grid is used to compute height anomalies by using Least Squares Modification of Stokes’ formula with Additive corrections (LSMSA or KTH method). The GEOID17RefB global gravity model up to degree 2190 is used in the first gridding step, while the satellite-only GOCO05S model up to degree 240 is used in the second step. Finally, the classical formula by Heiskanen and Moritz (1967) is used for quasi-geoid to geoid conversion. The accuracy of the geoid model, when compared against GSVS17 GPS/leveling, is equal to 2.7 cm. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
description: The International Service for the Geoid (ISG) was founded in 1992 (as International Geoid Service - IGeS) and it is now an official service of the International Association of Geodesy (IAG), under the umbrella of the International Gravity Field Service (IGFS). The main activities of ISG consist in collecting, analysing and redistributing local and regional geoid models, as well as organizing international schools on the geoid determination (Reguzzoni et al., 2021).