cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5880/isg.2000.001
title: The Uruguayan hybrid geoid: UruGeoide2000

description: UruGeoide2000 is a hybrid geoid model for Uruguay computed in 2000. The extent is from 29° S to 36° S in latitude and 52° W to 60° W in longitude, however the model is valid in the Uruguayan territory only. The grid resolution is 1´ × 1´. The geodetic reference system is SIRGAS ROU-98 (the reference ellipsoid is GRS80). A gravimetric model was initially computed through the remove-restore procedure, using 5873 ground gravity observations, 9987 marine free-air gravity anomalies from the GMGA9706 model and the EGM96 geopotential model. The topographic data were compiled from the 2 km × 2 km SGM digital terrain model, the 2.5' × 2.5' USP model and from the GTOPO30 global topographic model. The external masses to the geoid was considered with the second Helmert condensation method, taking in account the indirect effect. The gravimetric contribution was calculated using residual free-air anomalies in the spherical Stokes formula, evaluated with 1D-FFT. The resulting gravimetric geoid was finally adapted by a bias and a tilt to the national vertical system, Cabildo 1948, by fitting GPS/levelling observations, with a resulting accuracy of 13 cm. The UruGeoide2000 model was adopted by the Military Geographic Service (SGM) and it was the official Uruguayan geoid model for height conversion until the computation of an updated model in 2007. 
 
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).
DOI: 10.5880/gfz.4.6.2024.002
title: Erodibility proxy measurements in laboratory and field

description: A quantification of bedrock erodibility under fluvial impact erosion is required for various tasks in geomorphology, landscape evolution, and hydraulic engineering. However, it is challenging to measure in the field. Various proxy methods for easy measurement have been suggested and applied, but none of these has been benchmarked against high-quality data from the laboratory or field. We have collected field and laboratory data on erodibility using erosion mills as well as proxy data from the Schmidt hammer, Mohs' hardness, and the Annandale and Selby methods for 18 different lithological units.
DOI: 10.5880/pik.2016.004
title: EartH2Observe, WFDEI and ERA-Interim data Merged and Bias-corrected for ISIMIP (EWEMBI)

description: The EWEMBI dataset was compiled to support the bias correction of climate input data for the impact assessments carried out in phase 2b of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b; Frieler et al., 2017), which will contribute to the 2018 IPCC special report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways.
      The EWEMBI data cover the entire globe at 0.5° horizontal and daily temporal resolution from 1979 to 2013. Data sources of EWEMBI are ERA-Interim reanalysis data (ERAI; Dee et al., 2011), WATCH forcing data methodology applied to ERA-Interim reanalysis data (WFDEI; Weedon et al., 2014), eartH2Observe forcing data (E2OBS; Calton et al., 2016) and NASA/GEWEX Surface Radiation Budget data (SRB; Stackhouse Jr. et al., 2011). The SRB data were used to bias-correct E2OBS shortwave and longwave radiation (Lange, 2018).
      Variables included in the EWEMBI dataset are Near Surface Relative Humidity, Near Surface Specific Humidity, Precipitation, Snowfall Flux, Surface Air Pressure, Surface Downwelling Longwave Radiation, Surface Downwelling Shortwave Radiation, Near Surface Wind Speed, Near-Surface Air Temperature, Daily Maximum Near Surface Air Temperature, Daily Minimum Near Surface Air Temperature, Eastward Near-Surface Wind and Northward Near-Surface Wind. For data sources, units and short names of all variables see Frieler et al. (2017, Table 1).
DOI: 10.5880/pik.2019.021
title: Model output for: “Feeding ten billion people is possible within four terrestrial planetary boundaries”

description: The netCDF data stored here represent crop production simulations from the LPJmL biosphere model underlying the different steps of the U-turn portrayed in the main paper by Gerten et al. The LPJmL data cover the entire globe with a spatial resolution of 0.5° for the baseline period as well as for different scenarios reflecting the studied ways to restrict crop production through maintaining planetary boundaries on the one hand and the various opportunities to increase food supply within the boundaries on the other hand (see paper, specifically Figs. 1 & 2, Table 2). The stored variable is crop production (fresh matter) multiplied by the fractional coverage of different crop functional types, per 0.5° grid cell. The data are provided in one netCDF file for each scenario. An overview of the scenarios assigned to the folder names is given in the file inventory. The data support the study: Gerten, D., Heck, V., Jägermeyr, J., Bodirsky, B.L., Fetzer, I., Jalava, M., Kummu, M., Lucht, W., Rockström, J., Schaphoff, S., Schellnhuber, H.J.: Feeding ten billion people is possible within four terrestrial planetary boundaries. Nature Sustainability (2020).
DOI: 10.11583/dtu.30814691
title: Data and code for: Investigating the Washback Effect on Generative AI

description: This repository holds the files used in the paper Investigating the Washback Effect on Generative AI Strategies: Insights from Engineering Students.<br><br>The dataset comes from a mixed-methods study of how first- and second-year engineering students use generative AI (e.g. ChatGPT) as a study aid in relation to course assessment and perceived relevance. It contains anonymised survey responses from 336 students in mandatory foundation courses (mathematics, physics, programming, chemistry), including Likert-scale measures of procedural vs. conceptual GenAI use, perceived assessment criteria (procedural vs. conceptual), perceived course relevance, and basic background variables. These data were used to estimate a psychometric measurement model (EFA/CFA) and a structural equation model testing how assessment orientation and relevance predict different types of GenAI use, supplemented by 11 qualitative interviews (not included in this repository).<br><br>The Rmd file used for data analysis, figure and table production is available in the folder "Data and Code" along with the raw survey data in the file "complete.csv"<br>The file Survey.pdf shows the exact questionnaire used for data collection<br><br>Additionally, the folder "Summary report" contains an HTML file generated by Quarto as well as supplementary files to run it. The HTML shows all relevant graphs and statistics for the paper.<br><br><b>Various licenses apply to the files in this item:</b>complete.csv: CC-BY 4.0Washback_data_analysis.Rmd: MIT License Copyright © 2025 Technical University of DenmarkAll files in the folder "Summary report": MIT License Copyright © 2025 Technical University of DenmarkSurvey.pdf: CC-BY 4.0readme.txt: CC-BY 4.0<br>
DOI: 10.11583/dtu.30814691.v1
title: Data and code for: Investigating the Washback Effect on Generative AI

description: This repository holds the files used in the paper Investigating the Washback Effect on Generative AI Strategies: Insights from Engineering Students.<br><br>The dataset comes from a mixed-methods study of how first- and second-year engineering students use generative AI (e.g. ChatGPT) as a study aid in relation to course assessment and perceived relevance. It contains anonymised survey responses from 336 students in mandatory foundation courses (mathematics, physics, programming, chemistry), including Likert-scale measures of procedural vs. conceptual GenAI use, perceived assessment criteria (procedural vs. conceptual), perceived course relevance, and basic background variables. These data were used to estimate a psychometric measurement model (EFA/CFA) and a structural equation model testing how assessment orientation and relevance predict different types of GenAI use, supplemented by 11 qualitative interviews (not included in this repository).<br><br>The Rmd file used for data analysis, figure and table production is available in the folder "Data and Code" along with the raw survey data in the file "complete.csv"<br>The file Survey.pdf shows the exact questionnaire used for data collection<br><br>Additionally, the folder "Summary report" contains an HTML file generated by Quarto as well as supplementary files to run it. The HTML shows all relevant graphs and statistics for the paper.<br><br><b>Various licenses apply to the files in this item:</b>complete.csv: CC-BY 4.0Washback_data_analysis.Rmd: MIT License Copyright © 2025 Technical University of DenmarkAll files in the folder "Summary report": MIT License Copyright © 2025 Technical University of DenmarkSurvey.pdf: CC-BY 4.0readme.txt: CC-BY 4.0<br>
DOI: 10.5880/icgem.2019.008
title: Time series of monthly combined HLSST and SLR gravity field models to bridge the gap between GRACE and GRACE-FO: QuantumFrontiers_HLSST_SLR_COMB2019s

description: QuantumFrontiers_HLSST_SLR_COMB2019s is a series of monthly gravity field models based on high-low satellite-to-satellite (HLSST) tracking and satellite laser ranging (SLR) data up to degree and order 60. The combination of HLSST and SLR data is done on the normal equation level using Variance Component Estimation. The series spans from 2003 to 2018 and thus covers the entire period between GRACE and GRACE Follow-On. It is therefore a prime candidate to bridge the data gap between these two satellite mission considering long-wavelength features on a global scale. The model has been developed with data contributions from the Astronomical Institute, University Bern (AIUB), the Institute of Geodesy, Theoretical Geodesy and Satellite Geodesy, Graz University of Technology, the Institute for Geodesy, Leibniz University Hannover and the European Space Agency. More details on the processing can be found in "Time-Variable Gravity Signal in Greenland Revealed by High-Low Satellite-to-Satellite Tracking" (Weigelt et al, 2013, https://doi.org/10.1002/jgrb.50283) Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy – EXC-2123 QuantumFrontiers – 390837967.
DOI: 10.5880/gfz.1.3.2023.001
title: EOP predictions collected during the operational phase of the Second Earth Orientation Parameters Prediction Comparison Campaign

description: This dataset contains predictions of Earth orientation parameters (EOP) submitted during the Second Earth Orientation Parameters Prediction Comparison Campaign (2nd EOP PCC). The 2nd EOP PCC has been carried out by Centrum Badań Kosmicznych Polskiej Akademii Nauk CBK PAN in Warsaw in cooperation with the GFZ German Research Centre for Geosciences in Potsdam (Germany) and under the auspices of the International Earth Rotation and Reference Systems Service (IERS) within the IERS Working Group on the 2nd EOP PCC. The purpose of the campaign was to re-assess the current capabilities of EOP forecasting and to find most reliable prediction approaches. The operational part of the campaign lasted between September 1, 2021 and December 28, 2022. Throughout the duration of the 2nd EOP PCC, registered campaign participants submitted forecasts for all EOP parameters, including dX, dY, dPsi, dEps (components of celestial pole offsets), polar motion, differences between universal time and coordinated universal time, and its time-derivative length-of-day change. These submissions were made to the EOP PCC Office every Wednesday before the 20:00 UTC deadline. The predictions were then evaluated once the geodetic final EOP observations from the forecasted period became available. Each participant could register more than one method, and each registered method was assigned an individual ID, which was used, e.g., for file naming. The dataset contains text files with predicted parameters as submitted by campaign participants and MATLAB file which is a database with all correct predictions from each participant loaded into a structure. Campaign overview and first results are described in the following articles: Śliwińska, J., Kur, T., Wińska, M., Nastula, J., Dobslaw, H., & Partyka, A. (2022). Second Earth Orientation Parameters Prediction Comparison Campaign (2nd EOP PCC): Overview. Artificial Satellites, 57(S1), 237–253. https://doi.org/10.2478/arsa-2022-0021 Kur, T., Dobslaw, H., Śliwińska, J., Nastula, J., & Wińska, M. (2022). Evaluation of selected short ‑ term predictions of UT1 ‑ UTC and LOD collected in the second earth orientation parameters prediction comparison campaign. Earth, Planets and Space, 74. https://doi.org/10.1186/s40623-022-01753-9
DOI: 10.5880/icgem.2019.006
title: Multi-approach Gravity Field Models from Swarm GPS data

description: Although the knowledge of the gravity of the Earth has improved considerably with CHAMP, GRACE and GOCE satellite missions, the geophysical community has identified the need for the continued monitoring of its time-variable component with the purpose of estimating the hydrological and glaciological yearly cycles and long-term trends. Currently, the GRACE-FO satellites are the sole provider of this data, while previously the GRACE mission collected these data for 15 years. Between the GRACE and GRACE-FO data periods lies a gap spanning from July 2017 to May 2018, while the Swarm satellites have collected gravimetric data with its GPS receivers since December 2013. This project aims at providing high-quality gravity field models from Swarm data that constitute an alternative and independent source of gravimetric data, which could help alleviate the consequences of the 10-month gap between GRACE and GRACE-FO, as well as the short gaps in the existing GRACE and GRACE-FO monthly time series. The geodetic community has realized that the combination of the different gravity field solutions is superior to any individual model. This project exploits this fact and delivers to the highest quality monthly-independent gravity field models, resulting from the combination of 4 different gravity field estimation approaches. All solutions are unconstrained and estimated independently from month to month. Preliminary comparison with GRACE data has demonstrated that the signal in the Swarm gravity field models is restricted to degrees 12-15 and below, while the temporal correlations decrease considerably above degree 10. The 750km smoothed models are suitable to retrieve the global annual temporal variations of Earth's gravity field and the agreement with GRACE over large basins (e.g. Amazon, Congo-Zambezi, Ganges-Brahmaputra) is within 1cm RMS in terms of Equivalent Water Height. The global RMS relative to a bias, trend, an annual and semi-annual model derived from GRACE over deep ocean areas (those roughly 1000km from shorelines) is under 1mm geoid height during periods of low ionospheric activity. More information about this project can be found at https://www.researchgate.net/project/Multi-approach-gravity-field-models-from-Swarm-GPS-data and ESA's Swarm DISC (the Data, Innovation and Science Cluster) Website (https://earth.esa.int/web/guest/missions/esa-eo-missions/swarm/activities/scientific-projects/disc#MAGF). This project is funded by ESA via the Swarm DISC, Sub-Contract No. SW-CO-DTU-GS-111.
DOI: 10.5880/icgem.cost-g.001
title: International Combination Service for Time-variable Gravity Fields (COST-G) Monthly GRACE Series

description: Combined monthly gravity fields of the GRACE satellite mission in spherical harmonic representation (Level-2 product) generated by the Combination Service for Time-variable Gravity Fields (COST-G; Jäggi et al. (2020):http://dx.doi.org/10.1007/1345_2020_109), a product center for time-variable gravity fields of IAG's International Gravity Field Service (IGFS). COST-G GRACE RL01 is a combination of AIUB-RL02, GFZ-RL06, GRGS-RL04 (unconstrained solution), ITSG-GRACE2018, and CSR-RL06. The original time-series were provided by the analysis centers (ACs) and partner analysis centers (PCs) of COST-G.
description: COST-G performs a harmonization and quality control of the individual input solutions of the COST-G ACs and PCs. The combination of COST-G GRACE RL01 is then performed applying variance component estimation on the solution level (Jean et al., 2018): https://doi.org/10.1007/s00190-018-1123-5). The resulting COST-G combined gravity fields are validated assessing their signal and noise content in the spectral and spatial domain (Meyer et al., 2019: https://doi.org/10.1007/s00190-019-01274-6) and by the COST-G Product Evaluation Group (PEG).
DOI: 10.5880/gfz.3.1.2024.003
title: CRM-geothermal - geochemical results of drill core material, scaling and salt precipitates at Tuzla, Seferihisar and Dikili geothermal sites, Eastern Turkey

description: The EU funded project CRM-geothermal aims to establish an overview of the potential for critical raw materials (CRM) in geothermal fluids across the EU and third countries (Ref). Within this framework, the geothermal sites of Tuzla, Seferihisar and Dikili in eastern Turkey have been visited in March 2023. To estimate the potential of CRM at these sites, a comprehensive sampling program was performed. Rock samples (drill gravel) of the production borehole and scaling from gas-water separators were obtained. Furthermore, sampling of geothermal fluids (gas and brine) and precipitates (salt) along the production line was performed. 
Here, the results of the geochemical analyses of solid sample materials (drill gravel, scales and salt) are presented. 
All analyses were performed in the ElMiE-Lab (Elements and Minerals of the Earth Laboratory) at German Research Centre for Geosciences Potsdam, Germany (https://labinfrastructure.geo-x.net/laboratories/8). For their major and minor element compositions, bulk samples of drill gravel and scales were analyzed with XRF and ICP-MS, respectively. Salt precipitates were analyzed for dry loss and mineral composition using XRD.
description: Sampling of drill gravel: 
Drill core gravel from Tuzla geothermal site was obtained from existing samples taken during drilling in 2010. For the analyses, three samples of the geothermal reservoir horizon at different depth and from two different drill holes were chosen. 
 
Sampling of scales: 
Scales were sampled during geothermal power plant maintenance in 2023 in Tuzla and in 2022 in Seferihisar. It was analyzed from all water-gas separators from the three drill holes in Tuzla. For Seferihisar, fresh scales were obtained from inside a tube, a pump and a fitter. 
 
Sampling of salt precipitates: 
During the visits, fresh salt precipitates were taken from outside the pipeline that transports geothermal brine to the power plant. The sampling points were located near the production well. Here, few connectors were slightly leaking which is negligible for the geothermal power production. Over time, the small amounts of brine release causes salt precipitation, due to brine cooling and evaporation. The residual salts occurs in form of fine crystalline precipitations around the pipe connectors or, stalactite-like salt tubings. Sampling of fresh, slightly moist material was performed by either scratching material off the precipitate deposit or breaking off juvenile stalactite outgrowth. The sample were stored and transported in air-tight zipper plastic bags to avoid sample alteration by atmospheric air.
DOI: 10.5880/gfz.3.6.2022.001
title: Major and trace element analysis of Ca-Mg-carbonates and carbonate melt at 6 and 9 GPa

description: The melting relations of the CaCO3 MgCO3 system are investigated and trace element partition coefficient of Li, Na, K, Mn, Fe, Sr, Ba, Pb, Nb, Y and rare earth elements (REEs) between carbonates (Mg-calcite, Ca-magnesite) and dolomitic melt are established from high pressure (6 and 9 GPa) and temperature (1300 1800 ℃) experiments utilizing a rocking multi anvil press. We show that Ca Mg carbonates are stable within the subducting slab beyond ~300 km (9 GPa) but will (partial) melt beneath mid ocean ridges and in upwelling plumes. In contrast to previous studies, we report incongruent melting of carbonates producing a carbonate melt and periclase between 4 and 9 GPa. Partial melting of carbonates produces dolomitic melts whereby the trace element signature largely depends on the Ca/Mg-ratio of the bulk system. For instance, REE will be fractionated by two orders or magnitude between Ca magnesite and dolomitic melt. In contrast, melting of Ca rich carbonates will not lead to a significant REE fractionation. The here published data set includes all chemical analysis (major and trace elment composition) of run products and starting materials. From this data set we obtained the melting relations and partition coefficients reported in Sieber et al. (2020); Sieber et al. (under review).
DOI: 10.15468/dl.ztjuag
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leaena wandelensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 24 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044146-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5880/gipp.202199.1
title: Subaquatic ambient seismic noise recordings acquired in the region of Inuvik and Tuktoyaktuk, Northwest Territories, Canada

description: This dataset contains subaquatic passive seismic recordings taken in September 2021 at 88 locations off Tuktoyaktuk Island as well as in a small lake (“Lake 3”) between the villages of Tuktoyaktuk and Inuvik, Northwest Territories, Canada. The measurements were part of the “Mackenzie Delta Permafrost Field Campaign” (mCan2021) within the “Modular Observation solutions for Earth Systems” (MOSES) program. Data is from a seismic intermediate-bandwidth seismic sensor lowered for few minutes to the bottom of the sea and lake, respectively, and from underwater short-period sensors deployed for a few days. The aim of the study was to determine the depth of the subaquatic permafrost (local lake and oceanic locations). Raw data is provided in proprietary “Cube” format and standard mseed format.
DOI: 10.5880/gfz.3.1.2024.007
title: Petrography, quantitative mineralogy, and U-Pb geochronology of the Boundary Zone Zn-Pb-Ag prospect, Yukon, Canada

description: The Boundary Zone prospect (Yukon, Canada) is a Zn-Pb-Ag prospect hosted by siliciclastic rocks in the Macmillan Pass district. The main host units comprise the Late Ordovician to Early Silurian Duo Lake Formation and the Middle to Late Devonian Portrait Lake Formation. Sulfide mineralization is hosted in mudstones, conglomerates, diamictites, and volcaniclastic rocks, with stratabound, vein, and breccia-hosted sulfides consisting of sphalerite, pyrite, galena, with minor chalcopyrite and sulfosalts. 
 
This data publication comprises results of analyses conducted on drill core samples obtained from the Boundary Zone. The data originates from multi-scale petrographic examination, quantitative X-ray diffraction (QXRD), electron probe microanalysis (EPMA), and secondary ion mass spectrometry (SIMS) U-Pb fluorapatite geochronology. All the analyses were caried out at the GFZ German Research Centre for Geosciences, Potsdam, Germany.