cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.11583/dtu.14564643.v1
title: Data for "Improved dynamic imaging of multiphase flow by constrained tomographic reconstruction” - ground_truth_distribution_time

description: Histogram of the ground truth as a function of time. This is needed for comparison when evaluating the performance of 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<br><br>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<br>
DOI: 10.11583/dtu.19688992
title: Onshore wind generation time series for technology SP277 HH200 at resource grade A (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 200 m for the regions shown in the attached map. The analysed wind power plants are sited at the best 10 % of locations in each region, i.e., in resource grade (RG) A. 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.19688992.v1
title: Onshore wind generation time series for technology SP277 HH200 at resource grade A (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 200 m for the regions shown in the attached map. The analysed wind power plants are sited at the best 10 % of locations in each region, i.e., in resource grade (RG) A. 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.4479050
title: Data for the publication "Selective high-temperature CO2 electrolysis enabled by oxidized carbon intermediates"

description: Data for the article "Selective high-temperature CO<sub>2</sub> electrolysis enabled by oxidized carbon intermediates", published in the journal Nature Energy in 2019 (DOI: 10.1038/s41560-019-0457-4).<br>The data-set includes raw data for XPS, chronoamperometry, EIS, mass-sepctroscopy, scaled-up cell testing, and the logbook for the XPS experiments.<br>For DFT data, please see https://www.catalysis-hub.org/publications/SkafteSelective2019
DOI: 10.11583/dtu.4479050.v2
title: Data for the publication "Selective high-temperature CO2 electrolysis enabled by oxidized carbon intermediates"

description: Data for the article "Selective high-temperature CO<sub>2</sub> electrolysis enabled by oxidized carbon intermediates", published in the journal Nature Energy in 2019 (DOI: 10.1038/s41560-019-0457-4).<br>The data-set includes raw data for XPS, chronoamperometry, EIS, mass-sepctroscopy, scaled-up cell testing, and the logbook for the XPS experiments.<br>For DFT data, please see https://www.catalysis-hub.org/publications/SkafteSelective2019
DOI: 10.11583/dtu.4479050.v1
title: Data for the publication "Selective high-temperature CO2 electrolysis enabled by oxidized carbon intermediates"

description: Data for the article "Selective high-temperature CO<sub>2</sub> electrolysis enabled by oxidized carbon intermediates", published in the journal Nature Energy in 2019 (DOI: 10.1038/s41560-019-0457-4).<br>The data-set includes raw data for XPS, chronoamperometry, EIS, mass-sepctroscopy, scaled-up cell testing, and the logbook for the XPS experiments.<br>For DFT data, please see https://www.catalysis-hub.org/publications/SkafteSelective2019
DOI: 10.6084/m9.figshare.23666610
title: Arrhenia alcalinophila.geneious

description: Alignment and Phylogenetic trees prepared in Geneious - ready for publication of new Species <em>Arrhenia alcalinophila. </em>
DOI: 10.6084/m9.figshare.23666610.v1
title: Arrhenia alcalinophila.geneious

description: Alignment and Phylogenetic trees prepared in Geneious - ready for publication of new Species <em>Arrhenia alcalinophila. </em>
DOI: 10.6084/m9.figshare.23666589
title: <strong>Deciphering temporal gene expression dynamics in multiple coral species exposed to heat stress: implications for predicting resilience</strong>

description: The processed data, including the Unigene and ORF sequences of <em>Pocillopora verrucosa</em>,<em> Acropora muricata</em>,<em> Montipora foliosa</em>, and <em>Montipora capricornis.</em>
DOI: 10.6084/m9.figshare.23666589.v1
title: <strong>Deciphering temporal gene expression dynamics in multiple coral species exposed to heat stress: implications for predicting resilience</strong>

description: The processed data, including the Unigene and ORF sequences of <em>Pocillopora verrucosa</em>,<em> Acropora muricata</em>,<em> Montipora foliosa</em>, and <em>Montipora capricornis.</em>
DOI: 10.11583/dtu.14753349
title: Global Atlas of Siting Parameters V1

description: The Global Atlas of Siting Parameters version 1 data-sets contain microscale wind information at approximately 250m grid point spacing.<br>The data in this directory consist of the entire global tiff at the full 0.0025 degree resolution on the WGS84 map projection. These data also include foverview pyramids to improve the viewing of the data at low resolution.<br>Most of the data are named as follows: gasp_{variable}_{height}_cog.tif, where variable is one of the following:<br><br><b><i>Atmospheric Variables</i></b><br>* <b>flow-inclination - </b>Flow inclination angle calculated using the LINCOM linear flow model.<br>* <b>shear-exponent - </b>Terrain-affected shear exponent calculated using the LINCOM linear flow model.<br>* <b>turbulence-intensity - </b>Mean turbulence intensity, calculated using an ensemble of four models onshore, and two models offshore. <br>* <b>V50 - </b>The 50 year return wind speed, using a 10-minute averaging time. This was calculated by downscaling the CFSR data using a combination of the Spectral Correction method and the LINCOM linear flow model.<br><b><i>Loads</i></b><b><i><br></i></b><b>* fls-class-nowake –</b> IEC turbine class based on the fatigue limit state (fatigue loads), which accounts for normal conditions like wind speed distribution and effective turbulence, not including wake effects.<br> <b>* fls-class-wake - </b>IEC turbine class based on the fatigue limit state (fatigue loads), which accounts for normal conditions like wind speed distribution and effective turbulence including wake effects.<br> <b>* uls-class - </b>IEC turbine class based on the ultimate limit state (extreme loads), which is based on the V50 and air density at high wind speed.<br><b>Uncertainty</b><b><br></b>* <b>uncertainty-ti - </b>Uncertainty classification of turbulence intensity<br>* <b>uncertainty-V50 - </b>Uncertainty classification of V50<br><br><b><i>Terrain</i></b><b><i><br></i></b>* <b>terrain-complexity - </b>IEC based classification of terrain complexity
DOI: 10.11583/dtu.11847174
title: Data for "Numerical investigations of parametric decay into trapped waves in magnetized plasmas with a non-monotonic density background"

description: Data for the figures of the article "Numerical investigations of parametric decay into trapped waves in magnetized plasmas with a non-monotonic density background" published in Physics of Plasmas, DOI 10.1063/5.0004672. The data is saved in Numpy's .npz-format. See the readme.txt-file.<br>
DOI: 10.11583/dtu.11847174.v1
title: Data for "Numerical investigations of parametric decay into trapped waves in magnetized plasmas with a non-monotonic density background"

description: Data for the figures of the article "Numerical investigations of parametric decay into trapped waves in magnetized plasmas with a non-monotonic density background" published in Physics of Plasmas, DOI 10.1063/5.0004672. The data is saved in Numpy's .npz-format. See the readme.txt-file.<br>
DOI: 10.25345/c57s7j33p
title: MassIVE MSV000092408 - acidobacteria Apedis MB_07122023
title: A pedis extracts (supernatants and cells) with blank media controls
DOI: 10.11583/dtu.21707147
title: Leading edge roughness and repair CFD dataset

description: Aerodynamic coefficients of damaged and repaired 2D aerofoil sections computed with PyE2Dpolar (https://alrf.pages.windenergy.dtu.dk/pye2dpolar/) - a python wrapper for a suite of EllipSys tools developed at DTU Wind. <br> The attached jupyter notebook explains how to load the data and explains its structure. For further questions feel free to contact alrf@dtu.dk. The wind tunnel data is available on request, but will be published once cleaned.
DOI: 10.5519/qd.xwc0a6fh
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3 records)
DOI: 10.11583/dtu.1607410
title: SOC tests database v1.00 (open-access).xlsx

description: A collection of tests reported in the solid oxide cell devices community. SOFC cell, SOFC stack, SOEC cell and SOEC stack tests are included. Originally published in relation to T. Skafte et al., EFCF 2016, B0501 (2016) - link: https://findit.dtu.dk/en/catalog/2346697333<br>
DOI: 10.11583/dtu.19375490
title: Supplementary files for "Evaluating the spatio-temporal variability in simulated wind speed time series over Northern Europe"

description: Supplementary files for: Graziela Luzia, Andrea N. Hahmann and Matti J. Koivisto, 2022. "Evaluating the spatio-temporal variability in simulated wind speed time series over Northern Europe".<br> https://doi.org/10.5194/wes-2022-33 <br> Content: namelists and geofiles for the WRF simulations. <br> ── WRF simulations │ ├── geofiles.zip │ │ ├── 10km │ │ │ ├── geo_em.d01.nc │ │ │ ├── geo_em.d02.nc │ │ ├── 6km │ │ │ ├── geo_em.d01.nc │ │ │ ├── geo_em.d02.nc │ │ ├── 5km │ │ │ ├── geo_em.d01.nc │ │ │ ├── geo_em.d02.nc │ │ ├── 3.3km │ │ │ ├── geo_em.d01.nc │ │ │ ├── geo_em.d02.nc │ │ │ ├── geo_em.d03.nc │ ├── namelists.zip │ │ ├── 10km │ │ │ ├── namelist.wps │ │ │ ├── namelist.input │ │ ├── 6km │ │ │ ├── namelist.wps │ │ │ ├── namelist.input │ │ ├── 5km │ │ │ ├── namelist.wps │ │ │ ├── namelist.input │ │ ├── 3.3km │ │ │ ├── namelist.wps │ │ │ ├── namelist.input │ │ ├── 10km_erai │ │ │ ├── namelist.wps │ │ │ ├── namelist.input │ │ ├── 10km_v3 │ │ │ ├── namelist.wps │ │ │ ├── namelist.input <br> Configuration based on the New European Wind Atlas: <sub>https://doi.org/10.5194/gmd-13-5053-2020</sub><br>
DOI: 10.11583/dtu.19375490.v1
title: Supplementary files for "Evaluating the spatio-temporal variability in simulated wind speed time series over Northern Europe"

description: Supplementary files for: Graziela Luzia, Andrea N. Hahmann and Matti J. Koivisto, 2022. "Evaluating the spatio-temporal variability in simulated wind speed time series over Northern Europe".<br> https://doi.org/10.5194/wes-2022-33 <br> Content: namelists and geofiles for the WRF simulations. <br> ── WRF simulations │ ├── geofiles.zip │ │ ├── 10km │ │ │ ├── geo_em.d01.nc │ │ │ ├── geo_em.d02.nc │ │ ├── 6km │ │ │ ├── geo_em.d01.nc │ │ │ ├── geo_em.d02.nc │ │ ├── 5km │ │ │ ├── geo_em.d01.nc │ │ │ ├── geo_em.d02.nc │ │ ├── 3.3km │ │ │ ├── geo_em.d01.nc │ │ │ ├── geo_em.d02.nc │ │ │ ├── geo_em.d03.nc │ ├── namelists.zip │ │ ├── 10km │ │ │ ├── namelist.wps │ │ │ ├── namelist.input │ │ ├── 6km │ │ │ ├── namelist.wps │ │ │ ├── namelist.input │ │ ├── 5km │ │ │ ├── namelist.wps │ │ │ ├── namelist.input │ │ ├── 3.3km │ │ │ ├── namelist.wps │ │ │ ├── namelist.input │ │ ├── 10km_erai │ │ │ ├── namelist.wps │ │ │ ├── namelist.input │ │ ├── 10km_v3 │ │ │ ├── namelist.wps │ │ │ ├── namelist.input <br> Configuration based on the New European Wind Atlas: <sub>https://doi.org/10.5194/gmd-13-5053-2020</sub><br>
DOI: 10.11583/dtu.19689025
title: Onshore wind generation time series for technology SP335 HH200 at resource grade A (PECD 2021 update)

description: This data (csv file) provides simulated hourly time series of onshore wind generation with specific power (SP) 335 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 best 10 % of locations in each region, i.e., in resource grade (RG) A. 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.14672049
title: New European Wind Atlas: Microscale Atlas

description: 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.<br>Data are accessible through doWIND, an instance of <b>daTap </b>(RESTfull API for data aggregation and subsetting)
DOI: 10.11583/dtu.14672049.v1
title: New European Wind Atlas: Microscale Atlas

description: 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.<br>Data are accessible through doWIND, an instance of <b>daTap </b>(RESTfull API for data aggregation and subsetting)
DOI: 10.3886/e192186v1-140101
title: BurdenOfHIV

description: The ``Estimating the Economic and Health Burdens of HIV in Semi-Urban and Rural Illinois" survey (BOH) encompassed over 200 responses and targeted hidden and hard-to-reach communities in semi-urban and rural Illinois, USA. While many studies of disease response are conducted in urban areas, this survey was an opportunity to examine individual responses to HIV and COVID-19 in a semi-urban and rural context. The sample consisted of 22 respondents, primarily comprising HIV-positive MSM African Americans, but also including black cisgender women, Hispanics, and transgender participants. The survey encompassed a range of age groups from 18 to 60, providing valuable insights into the health, economic, and community environments experienced by underserved populations in a post-COVID-19 world.
DOI: 10.11583/dtu.21088651
title: A dataset of hybrid IoT/OT honeypots

description: For additional information regarding the dataset kindly refer to the paper "Interaction matters: a comprehensive analysis and a dataset of hybrid IoT/OT honeypots" published at Annual Computer Security Applications Conference (ACSAC) 2022. https://doi.org/10.1145/3564625.3564645 <br> Access to the dataset is given to researchers employed by academic institutions upon contacting emmva@dtu.dk
DOI: 10.11583/dtu.21088651.v1
title: A dataset of hybrid IoT/OT honeypots

description: For additional information regarding the dataset kindly refer to the paper "Interaction matters: a comprehensive analysis and a dataset of hybrid IoT/OT honeypots" published at Annual Computer Security Applications Conference (ACSAC) 2022. https://doi.org/10.1145/3564625.3564645 <br> Access to the dataset is given to researchers employed by academic institutions upon contacting emmva@dtu.dk
DOI: 10.11583/dtu.14414096
title: New European Wind Atlas: Mesoscale Atlas

description: The mesoscale part of the New European Wind Atlas (NEWA) was created from WRF model simulations for all of Europe at a grid spacing of 3 km x 3 km, initially covering the 30 years from 1989 to 2018. The WRF model simulations (using WRF V3.8.1) were done in 10 partly overlapping domains using ERA5 reanalysis and OSTIA sea surface temperatures. We used many ensemble members to determine the most suitable configuration for the final production run. The model configuration, production and evaluation of the results against observations are described in Hahmann et al. (2020) and Dörenkämper et al. (2020).<br>Data are accessible through doWIND, an instance of <b>daTap </b>(RESTfull API for data aggregation and subsetting).<br>
DOI: 10.3886/e192186v1-140102
title: BurdenOfHIV

description: The ``Estimating the Economic and Health Burdens of HIV in Semi-Urban and Rural Illinois" survey (BOH) encompassed over 200 responses and targeted hidden and hard-to-reach communities in semi-urban and rural Illinois, USA. While many studies of disease response are conducted in urban areas, this survey was an opportunity to examine individual responses to HIV and COVID-19 in a semi-urban and rural context. The sample consisted of 22 respondents, primarily comprising HIV-positive MSM African Americans, but also including black cisgender women, Hispanics, and transgender participants. The survey encompassed a range of age groups from 18 to 60, providing valuable insights into the health, economic, and community environments experienced by underserved populations in a post-COVID-19 world.
DOI: 10.57745/6sxde8
title: BDD_Phetec_Colmar_INRAE_TEMPO.xlsx

description: Données phénologiques observées à INRAE Colmar
DOI: 10.57745/yhdv0b
title: Readme_Colmar_EN.txt

description: "Read me" file
DOI: 10.57745/i0g1ea
title: Lisezmoi_Colmar_FR.txt

description: Fichier "Lisez moi"
DOI: 10.6084/m9.figshare.22014860
title: Mineralogical records of magma recharge and mixing: A case study of the post-collisional potassic volcanic rocks in Dahongliutan, NW Tibetan Plateau

description: Table S1 major (wt.%) and trace element(10-6) compositions of reference materials and trace element compositions of blank (10-9) . Table S2 major (wt.%) and trace element(10-6) compositions of the post-collisional potassic rocks in Dahongliutan volcanic field of NW Tibetan Plateau. Table S3 major (wt.%) element compositions of selected feldspars in post-collisional potassic rocks from Dahongliutan volcanic field of NW Tibetan Plateau . Table S4 major (wt.%) element compositions of selected pyroxenes in post-collisional potassic rocks from Dahongliutan volcanic field of NW Tibetan Plateau . Table S5 trace (ppm) element compositions of selected pyroxenes in post-collisional potassic rocks from Dahongliutan volcanic field of NW Tibetan Plateau . Table S6 major (wt.%) element compositions of selected olivines in post-collisional potassic rocks from Dahongliutan volcanic field of NW Tibetan Plateau . Table S7 major (wt.%) element compositions of selected apatites in post-collisional potassic rocks from Dahongliutan volcanic field of NW Tibetan Plateau . <br>
DOI: 10.6084/m9.figshare.22014860.v2
title: Mineralogical records of magma recharge and mixing: A case study of the post-collisional potassic volcanic rocks in Dahongliutan, NW Tibetan Plateau

description: Table S1 major (wt.%) and trace element(10-6) compositions of reference materials and trace element compositions of blank (10-9) . Table S2 major (wt.%) and trace element(10-6) compositions of the post-collisional potassic rocks in Dahongliutan volcanic field of NW Tibetan Plateau. Table S3 major (wt.%) element compositions of selected feldspars in post-collisional potassic rocks from Dahongliutan volcanic field of NW Tibetan Plateau . Table S4 major (wt.%) element compositions of selected pyroxenes in post-collisional potassic rocks from Dahongliutan volcanic field of NW Tibetan Plateau . Table S5 trace (ppm) element compositions of selected pyroxenes in post-collisional potassic rocks from Dahongliutan volcanic field of NW Tibetan Plateau . Table S6 major (wt.%) element compositions of selected olivines in post-collisional potassic rocks from Dahongliutan volcanic field of NW Tibetan Plateau . Table S7 major (wt.%) element compositions of selected apatites in post-collisional potassic rocks from Dahongliutan volcanic field of NW Tibetan Plateau . <br>