3,734 Works

SOLA Geomagnetic Field estimates

Magnus Danel Hammer & Christopher Finlay
The SOLA model estimates are expressed in terms of Schmidt semi-normalized spherical harmonics coefficients of degree n and order m evaluated at a geocentric radius of 6371.2km.
Reference:
Hammer, M.D, Finlay, C.C, and Olsen, N. (2021) Applications for CryoSat-2 satellite magnetic data in studies of the Earth's core field variations. Earth, Planets and Space, 73:73.
Hammer,M.D. and Finlay,C.C (2019) Local averages of the core-mantle boundary magnetic field from satellite observations, Geophys. J. Int., 216,1901-1918.

Dataset for the article \"Integrating process-based reactive transport modeling and machine learning for electrokinetic remediation of contaminated groundwater\"

Riccardo Sprocati & Massimo Rolle
The dataset contains the data obtained with the process-based model used for training, validation and testing of the surrogate model in the article "Sprocati, R., & Rolle, M. (2021). Integrating process-based reactive transport modeling and machine learning for electrokinetic remediation of contaminated groundwater. Water Resources Research, 57, e2021WR029959"

Dataset for the article \"Integrating process-based reactive transport modeling and machine learning for electrokinetic remediation of contaminated groundwater\"

Riccardo Sprocati & Massimo Rolle
The dataset contains the data obtained with the process-based model used for training, validation and testing of the surrogate model in the article "Sprocati, R., & Rolle, M. (2021). Integrating process-based reactive transport modeling and machine learning for electrokinetic remediation of contaminated groundwater. Water Resources Research, 57, e2021WR029959"

Charge transport in Al2S3 and its relevance in secondary Al-S batteries

Steen Lysgaard & Juan Maria García Lastra
This dataset supplements the publication "Charge transport in Al2S3 and its relevance in secondary Al-S batteries" by Steen Lysgaard and Juan María García Lastra. https://doi.org/10.1021/acs.jpcc.1c04484

The dataset consists of an ASE database and some trajectory files with structures.
With this and the scripts located at https://gitlab.com/asm-dtu/supporting-publication/charge-transport-in-al2s3-and-its-relevance-in-secondary-al-s-batteries it is possible to recreate the grahps in the paper.

Charge transport in Al2S3 and its relevance in secondary Al-S batteries

Steen Lysgaard & Juan Maria García Lastra
This dataset supplements the publication "Charge transport in Al2S3 and its relevance in secondary Al-S batteries" by Steen Lysgaard and Juan María García Lastra. https://doi.org/10.1021/acs.jpcc.1c04484

The dataset consists of an ASE database and some trajectory files with structures.
With this and the scripts located at https://gitlab.com/asm-dtu/supporting-publication/charge-transport-in-al2s3-and-its-relevance-in-secondary-al-s-batteries it is possible to recreate the grahps in the paper.

Cape Verde Reference Power System Data

Daniel Vazquez Pombo
Author: Daniel Vázquez Pombo (dvapo@elektro.dtu.dk), ORCID: https://orcid.org/0000-0001-5664-9421-------------------------------------------------------------------------------
This dataset corresponds to the reference system presented in the paper titled:"The Islands of Cape Verde as a Reference System for 100 % Renewable Deployment". 2021 IEEE Green Technologies Conference. -> https://ieeegreentech.org/cfp/DOI: https://doi.org/10.1109/GreenTech48523.2021.00077
Submmited: Dec 2020Accepted: Feb 2021Published: Apr 2021-------------------------------------------------------------------------------The folder contains all the necessary data to model the Electric Power System of São Vicente and Santiago (Cape Verde) islands. These are in the dozens and hundreds of MW range...

Generic Multi-Frequency Modelling and Model Validation Methods for Converter-Based Renewable Energy Generators

Behnam Nouri

Animations of deep-water wave instability evolutions - Class I (modulational instability) and Class II (crescent waves)

Yuzhu Li & David R. Fuhrman
This data set contains animations of wave instabilities simulated in OpenFOAM using the Reynolds stress turbulence closure model. Two animations are included, involving simulations of:
1. The class I Benjamin-Feir (or modulational) instability - simulated in 2D.
2. The class II crescent waves (the L2 mode) - simulated in 3D.

Data for \"Improved dynamic imaging of multiphase flow by constrained tomographic reconstruction” - simulation_attenuation_rotated

Peter Winkel Rasmussen
Ground truth used for comparison with the reconstructions calculated by the the algorithms described in the article 'Improved dynamic imaging of multiphase flow by constrained tomographic reconstruction'. The code can be found at https://gitlab.gbar.dtu.dk/pwra/NumericalExperiments
This item is a part of the collection: Data for "Improved dynamic imaging of multiphase flow by constrained tomographic reconstruction”, https://doi.org/10.11583/DTU.c.5448594

Turbulence measurements from the Bockstigen mast and offshore wind farm

Kurt Schaldemose Hansen, Nikola Vasiljevic & Steen Arne Sørensen
This dataset consists of raw data and 10-minute statistics of wind speed and wind direction measurements from a 50m offshore mast at Bockstigen, Gotland, Sweden. The period includes more than 1200 hours of offshore measurements, which starts in 2000.
Detailed site documentation is available here.

Run statistics stored as NetCDF format 1) Bockstig_ts_all.nc 2) Bockstig_ts_concurrent.nc Raw time series (ascii), each with a duration of 600 sec, sampled with 1 & 17Hz (tower acc) : 3) Bockstig.zip

Turbulence measurements from the Tarifa_2 mast

Kurt Schaldemose Hansen, Nikola Vasiljevic & Steen Arne Sørensen
This dataset consists of raw time series and 10-minute statistics of wind speed and wind direction measurements from two 40m mast in the Tarifa area, Spain. The period includes more than 280 hours of turbulence measurements during spring 1997.
Detailed site documentation is available here.

Public data

Run statistics stored as NetCDF format1) tarifa_2_ts_all.nc2) tarifa_2_ts_concurrent.nc
Raw time series (ascii), each with a duration of 600 sec, sampled with 20 Hz.:3) tarifa_2.zip

Turbulence measurements from the V27 mast in Sky River

Kurt Schaldemose Hansen, Nikola Vasiljevic & Steen Arne Sørensen
This dataset consists of raw time series (8Hz)and 10-minute statistics of wind speed and wind direction measurements from a 42m mast in the SkyRiver area, CA, US. The period includes more than 160 hours of turbulence measurements recorded during 1993.
Detailed site documentation is available here.

Public data

Run statistics stored as NetCDF format1) skyv27_ts_all.nc2) skyv27_ts_concurrent.nc
Raw time series (ascii), each with a duration of 600 sec, sampled with 20 Hz.:3) skyv27.zip

New European Wind Atlas: Microscale Atlas

Bjarke Tobias Olsen, Neil Davis, Andrea N. Hahmann, Jake Badger, Jakob Mann & Nikola Vasiljevic
Wind Atlas layers from the New European Wind Atlas (NEWA) microscale atlas. The atlas was made by downscaling the NEWA mesoscale wind atlas using the Wind Atlas Analysis and Application Program (WAsP) microscale model.
Data are accessible through doWIND, an instance of daTap (RESTfull API for data aggregation and subsetting)

New European Wind Atlas: Microscale Atlas

Bjarke Tobias Olsen, Neil Davis, Andrea N. Hahmann, Jake Badger, Jakob Mann & Nikola Vasiljevic
Wind Atlas layers from the New European Wind Atlas (NEWA) microscale atlas. The atlas was made by downscaling the NEWA mesoscale wind atlas using the Wind Atlas Analysis and Application Program (WAsP) microscale model.
Data are accessible through doWIND, an instance of daTap (RESTfull API for data aggregation and subsetting)

SCADA & project data

Kurt Schaldemose Hansen, Nikola Vasiljevic & Steen Arne Sørensen
5. SCADA and project data. This collection list a number of confidential DTU Wind Energy databases of SCADA data from a number wind farms and some project databases used for research and education. The data is stored as 10-minute statistical values.

Deep De-Homogenization: synthetic orientation fields

Niels Aage, Ole Sigmund, Jakob Andreas Bærentzen & Martin Ohrt Elingaard
Data - in zipped form - related to the synthetic orientation fields used in:

Elingaard, M. O., Aage, N., Bærentzen, J. A., & Sigmund, O. (2022). De-homogenization using convolutional neural networks. Computer Methods in Applied Mechanics and Engineering, 388, 114197. https://doi.org/10.1016/j.cma.2021.114197
The dataset is split into a training and test set. The training set contains 10.000 orientation fields, while the test set contains 1000 orientation fields. Each orientation field is saved as .npy file, and can...

Large stabilizing wall - mesh & load configuration

Daniel Vestergaard & Kasper Paaske Larsen
This data set contains the mesh and load configuration for a finite element model of large stabilizing reinforced concrete wall presented as an example in the publication with DOI: https://doi.org/10.1002/suco.202100302 The data set consists of the following files:

Nodal_coordinates.csv: List of coordinates (“x”, “y” and “z”) for the finite element vertices/nodes (“Node”).
Topology.csv: List of node numbers (“Node 1”, “Node 2” and “Node 3” for the finite elements (“Element”).
Line_Load.csv: List of line loads (“Line load”) defined in...

Proteomics data of \"Emergence of phenotypically distinct subpopulations is a factor in adaptation of recombinant Saccharomyces cerevisiae under glucose-limited conditions\"

Naia Risager Wright, Tune Wulff, Christopher Workman, Nanna Petersen Rønnest & Nikolaus Sonnenschein
The two excel files contain the proteomics data for FACS sorted populations 1, 2 and 3. Details on data generation and processing can be found in the resource article.

Technology in context: optimization of wind farm and hybrid power plant design, operation and control

Katherine Dykes, Tuhfe Göçmen, Kaushik Das, Juan-Andrés Pérez-Rúa, Gunner Larsen & Pierre-Elouan Réthoré

Power systems of the future with very large shares of renewable energy sources

Nicolaos Antonio Cutululis, Matti Koivisto & Kaushik Das

Wind atlas trends

Jake Badger, Erik Lundtang Petersen, Jakob Mann & Andrea N. Hahmann

Towards more intelligent turbines

Athanasios Barlas, Fanzhong Meng & Wai Hou Lio

Towards sustainable wind energy

Asger Bech Abrahamsen, Lena Kitzing, Ignacio Martí, Anand Natarajan & Ignacio Martí

Educating the wind energy engineers of the future

Merete Badger, Jens Nørkær Sørensen, Martin O.L. Hansen & Niels-Erik Clausen

Supporting material of the article “An environmental and economic assessment of bioplastic from urban biowaste: The example of polyhydroxyalkanoate (PHA).”

Susanna Andreasi Bassi, Alessio Boldrin, & Thomas Fruergaard Astrup
Supporting Material A
System boundaries and detailed life cycle inventory.
The life cycle inventory of the following processes is described, included the uncertainty distribution of all the parameters resulted from a detailed literature review:- Economic data
- Current municipal food waste (source separated and residual) and sewage sludge management in the 5 clusters
- Municipal food waste and sewage sludge composition (chemical composition and low heating value) in the 5 clusters
- Municipal food waste collection
- Biorefinery...

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