cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.11583/dtu.11363198.v1
title: Data for the optimization model for the integration of heat sources and sinks into district heating and cooling

description: The optimization model was developed in the General Algebraic Modelling System (GAMS, version 24.8.3) using the CPLEX solver, version 12.7.0.0. The software code can be found at the provided link. Input data can be found here. <br>The purpose of the model is to investigate which heat sources, heat sinks and/or combination of them are best suited for heat pumps and chillers to supply district heating and cooling. Mixed-integer linear programming was used to carry out an annual optimization on an hourly basis to minimize total annualized costs. The model takes investment costs, operating and maintenance (O&M) costs, short-term hot and cold water storage, seasonal temperature variations of heat sources, heat sinks and the district heating network, capacity limitations of the heat sources/sinks as well as the distance from the heat sources/sinks to the district heating and cooling network into account. The model was developed with the intention of using it during an early planning stage of a new district heating and/or district cooling area when details about required production capacity are unknown and no decision about the heat source and heat sink has been made.<br>
DOI: 10.11583/dtu.20014127
title: ITC 2019 competition reduced datasets

description: This is the reduced version of the International Timetabling Competition 2019 (ITC 2019) datasets. The datasets have been reduced by the methods developed for the winning algorithm of the ITC 2019. The files are in the same format as the original ITC 2019 datasets, making them easy to use. The reduction algorithm has been further improved; the resulting data are presented here: https://doi.org/10.11583/DTU.20014070
DOI: 10.6084/m9.figshare.23666640.v1
title: PD radar raw data & description

description: Here the original data of the two debris-flow events can be fount. A description on how to how to read the file format and calculate the velocity spectra for each range gate is also added.
DOI: 10.6084/m9.figshare.23666640
title: PD radar raw data & description

description: Here the original data of the two debris-flow events can be fount. A description on how to how to read the file format and calculate the velocity spectra for each range gate is also added.
DOI: 10.17632/r4zxdhm44r.1
title: The determinants of short-term dynamics of corporate shares market value during periods of decline and return to the original values of shares market

description: The determinants of short-term dynamics of corporate shares market value during periods of decline and return to the original values of shares market
DOI: 10.11583/dtu.15657063.v1
title: SOLA Geomagnetic Field estimates

description: 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.<br>Reference:<br>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.<br>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.<br>
DOI: 10.11583/dtu.15657063
title: SOLA Geomagnetic Field estimates

description: <strong>Description of SOLA data product:</strong> The SOLA model estimates are expressed in terms of Schmidt semi-normalized spherical harmonics coefficients, in units of nanoTesla, of degree n and order m evaluated at a geocentric radius of 6371.2km. <br> Coefficients are provided for the Secular Variation (SV, first time derivate of the field) and the Secular Acceleration (SA, second time derivative of the field). The estimates are given as txt files where the first row provides the different modeled epochs in fraction of years, and the second row provides mean error estimate for modeled epochs. Estimates are provided for two spatial resolutions: 1) SH degree 10 (45deg) and 2) SH degree 8 (50deg), which are the width of the resolution kernels. <br> <strong>References:</strong> 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. <br> 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. <br>
DOI: 10.11583/dtu.15657063.v2
title: SOLA Geomagnetic Field estimates

description: <strong>Description of SOLA data product:</strong> The SOLA model estimates are expressed in terms of Schmidt semi-normalized spherical harmonics coefficients, in units of nanoTesla, of degree n and order m evaluated at a geocentric radius of 6371.2km. <br> Coefficients are provided for the Secular Variation (SV, first time derivate of the field) and the Secular Acceleration (SA, second time derivative of the field). The estimates are given as txt files where the first row provides the different modeled epochs in fraction of years, and the second row provides mean error estimate for modeled epochs. Estimates are provided for two spatial resolutions: 1) SH degree 10 (45deg) and 2) SH degree 8 (50deg), which are the width of the resolution kernels. <br> <strong>References:</strong> 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. <br> 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. <br>
DOI: 10.17632/bhrp5hrvyn.1
title: Hamelin Pool Microbialites: Images of vertical sections and thin section scans

description: Forty-five microbialite heads were collected from Hamelin Pool between 2012 and 2014.  Repository contains images of polished slabs, slabs showing the location of thin sections, and thin section scans from each sample. Sample location map and inventory list are also included.
DOI: 10.6084/m9.figshare.23666799.v1
title: Additional file 3: Comparative genomic analysis of <em>Bemisia tabaci s.l. </em>and other arthropods

description: Output from Orthofinder of whole genome comparative analysis of eight populations of <em>Bemisa tabaci s.l.</em> analysed with non-whitefly species within the order Hemiptera, Hexapoda and non-Hexapoda arthropod outgroups. <br> Contains the compressed Orthofinder output (trees, sequences and Orthofamily clusters).
DOI: 10.11583/dtu.12513368
title: 8 - Catchment description

description: Description of the catchment to the urban drainage system. See metadata for more information.<br>This item is a part of the collection "Dataset for Bellinge: An urban drainage case study", https://doi.org/10.11583/DTU.c.5029124 <br><br>Changes in version 2 - 31-08-2021- Updated documentation file- New names to subfolders<br>
DOI: 10.11583/dtu.12513368.v2
title: 8 - Catchment description

description: Description of the catchment to the urban drainage system. See metadata for more information.<br>This item is a part of the collection "Dataset for Bellinge: An urban drainage case study", https://doi.org/10.11583/DTU.c.5029124 <br><br>Changes in version 2 - 31-08-2021- Updated documentation file- New names to subfolders<br>
DOI: 10.11583/dtu.16837721
title: NMC Li-ion Battery Cathode Energies and Charge Densities

description: This dataset contains charge densities for NMC (Ni, Mn and Co) 2x2x1 supercell (12 transition metal atoms and 12 Li/vacancy site) with varying levels of Li content. For each structure we first randomly sample the number of Mn, Ni and Co atoms given that the total number of transition metal atoms is 12 and then randomly assign them to the transition metal positions of the lattice. Similarly the number of vacancies is uniformly sampled between 0 and 12 and vacancies are assigned to the Li site. The generated configurations are then relaxed in two steps: First we relax the atom positions with fixed cell parameters and then we allow both positions and cell parameters to relax. We keep only the electron density (CHGCAR) file after the last cell relaxation step. The atoms are relaxed until forces on each atom are lower than 0.01 eV/Å. <br> The final relaxation is done with the following VASP settings through the Atomic Simulation Environment: xc='PBE', gga='PS', istart=1, algo='Normal', icharg=1, nelm=1800, ispin=1, nelmdl=6, isym=0, lcorr=True, potim=0.1, nelmin=5, kpts=[3,3,1], ismear=0, ediff=0.1E-03, ediffg=-0.05, sigma=0.1, nsw=200, isif=3, ibrion=2, ldiag=True, lreal='Auto', lwave=False, lcharg=True, prec='Normal' <br> The resulting CHGCAR files have been compressed with lz4 compression and packed in non-compressed tar archives with up to 1000 structures in each. <br> The datasplits json files contain the indices (0-index) of the train, validation and test sets used in the paper "Graph neural networks for fast electron density estimation of molecules, liquids, and solids"
DOI: 10.7488/ds/3069
title: Minion Equine Grass Sickness Gastrointestinal Mycobiota

description: Minion sequencing and analysis of a gastrointestinal sample from a horse with equine grass sickness (EGS). EGS is a multiple systems neuropathy of grazing horses. To identify potential causal fungi of EGS the gastrointestinal mycobiota of an EGS horse was evaluated. Sequencing reads were polished and assembled, then compared to a custom kraken database for taxonomic assignment.
DOI: 10.7488/ds/2298
title: SUPERSEDED Radboud Lombard Corpus_Dutch

description: # SUPERSEDED - This dataset has been replaced by the one which can be found at https://doi.org/10.5281/zenodo.4040685 . # Shen, C., and Janse, E. (2018). “Radboud Lombard Corpus (Dutch) (RaLoCo),” Zenodo. https://doi.org/10.5281/zenodo.4040685 # Related dataset # And additional data related to the corpus (like human ratings): Shen, C., and Janse, E. (2021). “Radboud Lombard Corpus (Dutch) - Additional Information [Dataset],” Zenodo. https://doi.org/10.5281/zenodo.5645385.
DOI: 10.7488/ds/2532
title: Welsh vowels

description: This dataset contains the sound files, Praat TextGrid and Formant files and a .csv file derived from these data that can be used with statistical software, noting the durational and spectral properties of the vowels. The data was collected in Carmarthen, Wales for a study of Welsh vowels.
description: See README.txt
DOI: 10.6084/m9.figshare.23666802.v1
title: The coordinates of Fig. 6 and Fig. 7

description: To facilitate readers' comparisons, we have provided the feasible domain coordinates of Fig. 6 and Fig. 7 to provide a clearer description of these two figures.
DOI: 10.5281/zenodo.8138143
title: Deliverable 3.5: Report on techno-economic modelling

description: Data for reproducing the results presented in Deliverable 3.5 "Report on techno-economic modelling" belonging to the CompBat EU project, DOI:10.3030/875565
DOI: 10.5281/zenodo.8138142
title: Deliverable 3.5: Report on techno-economic modelling

description: Data for reproducing the results presented in Deliverable 3.5 "Report on techno-economic modelling" belonging to the CompBat EU project, DOI:10.3030/875565
DOI: 10.11583/dtu.13655525
title: Datasets: Tensile behaviour of soda-lime-silica glass and the significance of load duration - A literature review

description: Datasets provided here are collected from an extensive literature review based on 92 articles; see title and DOI of linked peer-reviewed article below. These publications were reviewed in detail to compile a summary of current state-of-the-art understanding of the time-dependent tensile behaviour of soda-lime-silica glass. <br>Two main test methods to characterise glass have been identified: (1) the static fatigue test, constant applied stress, and (2) the dynamic fatigue test, constant stress rate. Hence, the following two files (Excel spreadsheets) can be accessed: <br><i><b>(1) SLSG_static_fatigue_datasets.xlsx</b></i><i><b>(2) SLSG_dynamic_fatigue_datasets.xlsx</b></i><i><br></i>Each file is composed of individual sheets divided into author and dataset. The individual sheets contain the reviewed experimental data, post-processed for comparison purposes, and the associated references.<br>Data that only have been presented in the publications as a plot were extracted using the freeware software <i>WebPlotDigitizer</i> (ver. 4.3).
DOI: 10.11583/dtu.8204633
title: ALEX17 flux-profile measurements: 3D sonic's wind profiles over complex terrain

description: The present dataset is part of the Alaiz Experiment-2017 (ALEX17) which consists of four 80m flux-profile masts instrumented with 19 3D sonic anemometers (3 masts with 5 levels, one mast with 4 levels). The masts are complemented with temperature and humidity 10min measurements (see references). The dataset has 11 months of wind measurements from August/2018 to July/2019. The experiment report shows the coordinates of all sensors, as well as instrument tilt and boom orientation. Both raw data at 20Hz, as well as 10min averages of quality-controlled and tilt corrected data are available.
DOI: 10.11583/dtu.8204690
title: ALEX17 complementary profile measurements: wind and temperature profiles in the valley

description: The present dataset is part of the Alaiz Experiment-2017 (ALEX17) which consists of two 80m met masts instrumented with cup anemometers, wind vanes, vertical anemomenters and temerature and relatively humidity as well as complementary measurements of temperature and relative humidity on the four met masts with sonics anemometers (see references). The dataset has near 12 months of wind measurements from July/2018 to July/2019. The experiment report shows the coordinates of all sensors. 10min averages of quality-controlled data are available.
DOI: 10.11583/dtu.8204690.v1
title: ALEX17 complementary profile measurements: wind and temperature profiles in the valley

description: The present dataset is part of the Alaiz Experiment-2017 (ALEX17) which consists of two 80m met masts instrumented with cup anemometers, wind vanes, vertical anemomenters and temerature and relatively humidity as well as complementary measurements of temperature and relative humidity on the four met masts with sonics anemometers (see references). The dataset has near 12 months of wind measurements from July/2018 to July/2019. The experiment report shows the coordinates of all sensors. 10min averages of quality-controlled data are available.
DOI: 10.11583/dtu.8204690.v2
title: ALEX17 complementary profile measurements: wind and temperature profiles in the valley

description: The present dataset is part of the Alaiz Experiment-2017 (ALEX17) which consists of two 80m met masts instrumented with cup anemometers, wind vanes, vertical anemomenters and temerature and relatively humidity as well as complementary measurements of temperature and relative humidity on the four met masts with sonics anemometers (see references). The dataset has near 12 months of wind measurements from July/2018 to July/2019. The experiment report shows the coordinates of all sensors. 10min averages of quality-controlled data are available.
DOI: 10.11583/dtu.11636511
title: SAR wind atlas US East Coast

description: Synthetic Aperture Radar derived wind atlas for the US East Coast. Data contains mean wind speed at 10m, Weibull parameters, Energy density, and number of samples. The wind speed is calculated as a monthly mean and a seasonal corrected mean wind speed.
DOI: 10.11583/dtu.11636511.v1
title: SAR wind atlas US East Coast

description: Synthetic Aperture Radar derived wind atlas for the US East Coast. Data contains mean wind speed at 10m, Weibull parameters, Energy density, and number of samples. The wind speed is calculated as a monthly mean and a seasonal corrected mean wind speed.
DOI: 10.6084/m9.figshare.23666799.v2
title: Additional file 3: Comparative genomic analysis of <em>Bemisia tabaci s.l.</em> and other arthropods

description: Output from Orthofinder of whole genome comparative analysis of eight populations of <em>Bemisa tabaci s.l.</em> analysed with non-whitefly species within the order Hemiptera, Hexapoda and non-Hexapoda arthropod outgroups. <br> Contains the compressed Orthofinder output (trees, sequences and Orthofamily clusters).
DOI: 10.6084/m9.figshare.23666802
title: The coordinates of Fig. 8 and Fig. 9

description: To facilitate readers' comparisons, we have provided the feasible domain coordinates of Fig. 8 and Fig. 9 to provide a clearer description of these two figures.
DOI: 10.6084/m9.figshare.23666802.v2
title: The coordinates of Fig. 6 and Fig. 7

description: To facilitate readers' comparisons, we have provided the feasible domain coordinates of Fig. 6 and Fig. 7 to provide a clearer description of these two figures.
DOI: 10.11583/dtu.19689010
title: Onshore wind generation time series for technology SP277 HH100 at resource grade C (PECD 2021 update)

description: This data (csv file) provides simulated hourly time series of onshore wind generation with specific power (SP) 277 W/m2 turbines at hub height (HH) of 100 m for the regions shown in the attached map. The analysed wind power plants are sited at the 50 % lowest mean wind speed locations in each region, i.e., in resource grade (RG) C. The map shows the resulting capacity factors (annual mean). The Excel file gives a rough indication if this wind technology is suitable for the different regions for this RG or not. The available land considers all onshore land area of a region, except lakes, cities, and very high elevation locations. The possible impact of any existing onshore wind installations in the region is not considered. Wake losses are modeled, with additional 5 % of other losses and unavailability considered. The time stamps are in GMT; the variable (column) names relate to the region names shown in the maps. The data include also country-level aggregations, e.g., UK00 is the aggregated onshore wind generation of all the UK regions (weighted by regional installed capacities). The data are part of the variable renewable energy generation time series created for ENTSO-E in the 2021 update of the Pan-European Climate Database (PECD) dataset. ENTSO-E has used the data in ERAA 2021 and Winter Outlook 2021-2022 assessments, and they are used in TYNDP 2022. The simulations are carried out by DTU Wind Energy, with the future technology selection and data validation discussed and agreed with ENTSO-E and its members. The linked journal paper (1st link) describes the simulation methodology (combination of ERA5 and GWA data is used). It is requested that the paper is cited when the data are used. The linked related journal paper (2nd link) describes the concept of resource grades and how they can be applied in energy system analyses. This item is part of a larger collection of wind and solar data: https://doi.org/10.11583/DTU.c.5939581
DOI: 10.11583/dtu.19689010.v1
title: Onshore wind generation time series for technology SP277 HH100 at resource grade C (PECD 2021 update)

description: This data (csv file) provides simulated hourly time series of onshore wind generation with specific power (SP) 277 W/m2 turbines at hub height (HH) of 100 m for the regions shown in the attached map. The analysed wind power plants are sited at the 50 % lowest mean wind speed locations in each region, i.e., in resource grade (RG) C. The map shows the resulting capacity factors (annual mean). The Excel file gives a rough indication if this wind technology is suitable for the different regions for this RG or not. The available land considers all onshore land area of a region, except lakes, cities, and very high elevation locations. The possible impact of any existing onshore wind installations in the region is not considered. Wake losses are modeled, with additional 5 % of other losses and unavailability considered. The time stamps are in GMT; the variable (column) names relate to the region names shown in the maps. The data include also country-level aggregations, e.g., UK00 is the aggregated onshore wind generation of all the UK regions (weighted by regional installed capacities). The data are part of the variable renewable energy generation time series created for ENTSO-E in the 2021 update of the Pan-European Climate Database (PECD) dataset. ENTSO-E has used the data in ERAA 2021 and Winter Outlook 2021-2022 assessments, and they are used in TYNDP 2022. The simulations are carried out by DTU Wind Energy, with the future technology selection and data validation discussed and agreed with ENTSO-E and its members. The linked journal paper (1st link) describes the simulation methodology (combination of ERA5 and GWA data is used). It is requested that the paper is cited when the data are used. The linked related journal paper (2nd link) describes the concept of resource grades and how they can be applied in energy system analyses. This item is part of a larger collection of wind and solar data: https://doi.org/10.11583/DTU.c.5939581
DOI: 10.11583/dtu.19688983
title: Onshore wind generation time series for technology SP199 HH200 at resource grade C (PECD 2021 update)

description: This data (csv file) provides simulated hourly time series of onshore wind generation with specific power (SP) 199 W/m2 turbines at hub height (HH) of 200 m for the regions shown in the attached map. The analysed wind power plants are sited at the 50 % lowest mean wind speed locations in each region, i.e., in resource grade (RG) C. The map shows the resulting capacity factors (annual mean). The Excel file gives a rough indication if this wind technology is suitable for the different regions for this RG or not. The available land considers all onshore land area of a region, except lakes, cities, and very high elevation locations. The possible impact of any existing onshore wind installations in the region is not considered. Wake losses are modeled, with additional 5 % of other losses and unavailability considered. The time stamps are in GMT; the variable (column) names relate to the region names shown in the maps. The data include also country-level aggregations, e.g., UK00 is the aggregated onshore wind generation of all the UK regions (weighted by regional installed capacities). The data are part of the variable renewable energy generation time series created for ENTSO-E in the 2021 update of the Pan-European Climate Database (PECD) dataset. ENTSO-E has used the data in ERAA 2021 and Winter Outlook 2021-2022 assessments, and they are used in TYNDP 2022. The simulations are carried out by DTU Wind Energy, with the future technology selection and data validation discussed and agreed with ENTSO-E and its members. The linked journal paper (1st link) describes the simulation methodology (combination of ERA5 and GWA data is used). It is requested that the paper is cited when the data are used. The linked related journal paper (2nd link) describes the concept of resource grades and how they can be applied in energy system analyses. This item is part of a larger collection of wind and solar data: https://doi.org/10.11583/DTU.c.5939581