cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10522863
title: Data Repository - Distinct Roles of Direct and Indirect Electrification in Pathways to a Renewables-dominated European Energy System

description: This is the data repository to reproduce the scenario analysis of the paper "Distinct roles of direct and indirect electrification in pathways to a renewables-dominated European energy system".

The source code for the REMIND version used in this study is available at https://github.com/fschreyer/remind/tree/ElecH2_prod. The scenario config file that was used to start the specific model runs of the paper and that inlucdes all scenario-specific model settings can be found in the repository under ./config/21_regions_EU11/scenario_config_ElecH2.csv. The repository is a fork with slight changes relative to the main release version available at https://github.com/remindmodel/remind/tree/v3.2.1 and https://doi.org/10.5281/zenodo.7852740. The model documentation can be found at https://rse.pik-potsdam.de/doc/remind/3.2.0. 

Model output data as well as other data that were used in the study are stored in data.zip. Moreover, we added a PlotsData.zip file, which contains the data shown in the figures of the paper. The R script to produce the figures and analysis of the paper can be found in ElecH2paper_Plots.Rmd. We publish a comprehensive dataset of our model output which includes more data than what is needed to reproduce the figures of the paper. Those data can be helpful to compare and contextualize our scenarios or use them for further analyses. However, due to the scope and complexity of our modeling framework, these data need to be used with care. The data used for the analysis of this study have been thoroughly validated. However, we cannot always perform such validation for the whole dataset and data need to treated with caution in particular at high regional or sectoral resolution and with respect to aspects that were not in the focus of the study as there maybe artefacts or limitations of our modeling approach. Please contact us in case you would like to use our scenarios for further analyses. We welcome open and constructive exchange on our data. 

 

Contact:Felix SchreyerPotsdam Institute for Climate Impact Researchfelix.schreyer@pik-potsdam.de
DOI: 10.5281/zenodo.10522864
title: Data Repository - Distinct Roles of Direct and Indirect Electrification in Pathways to a Renewables-dominated European Energy System

description: This is the data repository to reproduce the scenario analysis of the paper "Distinct roles of direct and indirect electrification in pathways to a renewables-dominated European energy system".

The source code for the REMIND version used in this study is available at https://github.com/fschreyer/remind/tree/ElecH2_prod. The scenario config file that was used to start the specific model runs of the paper and that inlucdes all scenario-specific model settings can be found in the repository under ./config/21_regions_EU11/scenario_config_ElecH2.csv. The repository is a fork with slight changes relative to the main release version available at https://github.com/remindmodel/remind/tree/v3.2.1 and https://doi.org/10.5281/zenodo.7852740. The model documentation can be found at https://rse.pik-potsdam.de/doc/remind/3.2.0. 

Model output data as well as other data that were used in the study are stored in data.zip. The R script to produce the figures and analysis of the paper can be found in ElecH2paper_Plots.Rmd. We publish a comprehensive dataset of our model output which includes more data than what is needed to reproduce the figures of the paper. Those data can be helpful to compare and contextualize our scenarios or use them for further analyses. However, due to the scope and complexity of our modeling framework, these data need to be used with care. The data used for the analysis of this study have been thoroughly validated. However, we cannot always perform such validation for the whole dataset and data need to treated with caution in particular at high regional or sectoral resolution and with respect to aspects that were not in the focus of the study as there maybe artefacts or limitations of our modeling approach. Please contact us in case you would like to use our scenarios for further analyses. We welcome open and constructive exchange on our data. 

 

Contact:Felix SchreyerPotsdam Institute for Climate Impact Researchfelix.schreyer@pik-potsdam.de
DOI: 10.5281/zenodo.10853459
title: Data Repository - Distinct Roles of Direct and Indirect Electrification in Pathways to a Renewables-dominated European Energy System

description: This is the data repository to reproduce the scenario analysis of the paper "Distinct roles of direct and indirect electrification in pathways to a renewables-dominated European energy system".

The source code for the REMIND version used in this study is available at https://github.com/fschreyer/remind/tree/ElecH2_prod. The scenario config file that was used to start the specific model runs of the paper and that inlucdes all scenario-specific model settings can be found in the repository under ./config/21_regions_EU11/scenario_config_ElecH2.csv. The repository is a fork with slight changes relative to the main release version available at https://github.com/remindmodel/remind/tree/v3.2.1 and https://doi.org/10.5281/zenodo.7852740. The model documentation can be found at https://rse.pik-potsdam.de/doc/remind/3.2.0. 

Model output data as well as other data that were used in the study are stored in data.zip. Moreover, we added a PlotsData.zip file, which contains the data shown in the figures of the paper. The R script to produce the figures and analysis of the paper can be found in ElecH2paper_Plots.Rmd. We publish a comprehensive dataset of our model output which includes more data than what is needed to reproduce the figures of the paper. Those data can be helpful to compare and contextualize our scenarios or use them for further analyses. However, due to the scope and complexity of our modeling framework, these data need to be used with care. The data used for the analysis of this study have been thoroughly validated. However, we cannot always perform such validation for the whole dataset and data need to treated with caution in particular at high regional or sectoral resolution and with respect to aspects that were not in the focus of the study as there maybe artefacts or limitations of our modeling approach. Please contact us in case you would like to use our scenarios for further analyses. We welcome open and constructive exchange on our data. 

 

Contact:Felix SchreyerPotsdam Institute for Climate Impact Researchfelix.schreyer@pik-potsdam.de
DOI: 10.48597/gkr9-j7bt
title: Measurement of Particle_number_concentration at Bondville

description: Measurement of Particle_number_concentration at Bondville
DOI: 10.48597/tpkd-m86n
title: Measurement of Heavy metals at Norunda Stenen

description: Measurement of Heavy metals at Norunda Stenen
DOI: 10.5517/ccdc.csd.cc256x7k
title: CCDC 2002638: Experimental Crystal Structure Determination

description: Related Article: Cheng-Yu Zheng, Jin-Xin Zhao, Chang-Hao Yuan, Xia Peng, Meiyu Geng, Jing Ai, Yao-Yue Fan, Jian-Min Yue|2023|Chemical Science|14|13410|doi:10.1039/D3SC04238C
description: Related Article: Cheng-Yu Zheng, Jin-Xin Zhao, Chang-Hao Yuan, Xia Peng, Meiyu Geng, Jing Ai, Yao-Yue Fan, Jian-Min Yue|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc283wv4
title: CCDC 2089116: Experimental Crystal Structure Determination

description: Related Article: Xinghan Yun, Li Chen, Ying Lv, Zihan Lu, Kun Huang, Shengjiao Yan|2022|Green Synth. Cat.|4|231|doi:10.1016/j.gresc.2022.05.002
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.58032/agh/ua0toy
title: High entropy oxide-based ceramic/metallic layered systems for SOFC interconnects

description: The application of metallic interconnects, enabled by the introduction of intermediate-temperature SOFCs (IT-SOFCs), while greatly reduced the cost of the devices, resulted in a number of previously unencountered problems, including continuous degradation of interconnect’s performance due to the growth of the protective Cr2O3 scale on its surface, as well as the presence of Cr-poisoning effect, caused by the deposition of volatile Cr species on catalytically active areas of the electrode. Both these phenomena are considered as main longevity-limiting factors for state-of-the-art fuel cells. One of the possible solutions is the application of the protective-conductive coatings for interconnects. The main scientific goal of the conducted project is the development of next-generation of such materials, based on the application of the high entropy approach to their design, combined with an in-depth understanding of their working principles. The high entropy approach is based on utilizing multiple composing elements in near-equimolar ratios. As a result, the system is characterized by extremely high configurational entropy, which enhances the stability of so-called solid solution structures, and introduces a number of new properties, resulting from the synergistic effects. Furthermore, such an approach creates the unmatched capability for tailoring the properties of the materials. The leading hypothesis of the project is that the application of the high entropy oxide (HEOx)-based protective-conducting coatings, benefiting from such features as enhanced stability due to entropic stabilization and reduced diffusion rates, will allow obtaining coatings of superior performance. To verify this hypothesis, an extensive and comprehensive study of the spinel- and perovskite-structured high entropy materials will be undertaken, covering different aspects of their operation under conditions close to those in the fuel cell, including the comprehensive elucidation of the corrosion-protective and Cr-poisoning-protective properties of the coatings. The project will result in the first-ever evaluation of the HEOx materials as potential conductive-protecting coatings for SOFC applications, potentially allowing solving some of the most important issues limiting widespread application of this technology. The obtained results will allow for significant advancement with regard to the state-of-the-art, impacting both the development of HEOx and SOFC technology, widely regarded to be among the leading directions of studies in materials science. Furthermore, the results may provide much-needed breakthrough in the SOFC technology, being an important step towards the next-generation power grid.
DOI: 10.5281/zenodo.10852528
title: Combining datasets after Alevin pre-processing - Galaxy Training Material

description: These are the downsampled datasets for one of the single cell case study tutorials in Galaxy: "Combining single cell datasets after pre-processing".
DOI: 10.5281/zenodo.10852529
title: Combining datasets after Alevin pre-processing - Galaxy Training Material

description: These are the downsampled datasets for one of the single cell case study tutorials in Galaxy: "Combining single cell datasets after pre-processing".
DOI: 10.6084/m9.figshare.25460431
title: Supplementary materials: Digital variance angiography in patients undergoing lower limb arterial recanalization: cost–effectiveness analysis within the English healthcare setting

description: <b>These are peer-reviewed supplementary materials for the article '</b><b>Supplementary materials: Digital variance angiography in patients </b><b>undergoing lower limb arterial </b><b>recanalization: cost–effectiveness analysis </b><b>within the English healthcare setting</b><b>' published in the</b><b> </b><b><i>Journal of Comparative Effectiveness Research</i></b><b>.</b><b>Supplementary equation</b><b>Aim:</b> Digital variance angiography (DVA) is a recently developed image processing method capable of improving image quality compared with the traditionally used digital subtraction angiography (DSA),among patients undergoing lower limb x-ray angiography. This study aims to explore the potential cost–effectiveness of DVA from an English National Health Service perspective. <b>Materials & methods:</b> A two-part economic model, consisting of a decision tree and a Markov model, was developed to consider the costs and health outcomes associated with the use of DVA as part of current practice imaging, compared with x-ray angiography using standard DSA. The model explored the impact of DVA on the development of acute kidney injury (AKI), chronic kidney disease and radiation-induced cancer over a lifetime horizon. Both deterministic and probabilistic analyses were performed to assess the cost per quality-adjusted life-year (QALY). <b>Results:</b> Base-case results indicate that DVA results in cost savings of £309 per patient, with QALYs also improving (+0.025) over a lifetime. As shown in sensitivity analysis, a key driver of model results is the relative risk (RR) reduction of contrast-associated acute kidney injury associated with use of DVA. The intervention also decreases the risk of carcinoma over a lifetime. Scenario analyses show that cost savings range from £310 to £553, with QALY gains ranging from 0.048 to 0.109 per patient. <b>Conclusion:</b> The use of DVA could result in a decrease in costs and an increase in QALYs over a lifetime, compared with existing imaging practice. The potential for this technology to offer an economically viable alternative to existing image processing methods, through a reduction in contrast media volume and radiation exposure, has been demonstrated.
DOI: 10.6084/m9.figshare.25460431.v1
title: Supplementary materials: Digital variance angiography in patients undergoing lower limb arterial recanalization: cost–effectiveness analysis within the English healthcare setting

description: <b>These are peer-reviewed supplementary materials for the article '</b><b>Supplementary materials: Digital variance angiography in patients </b><b>undergoing lower limb arterial </b><b>recanalization: cost–effectiveness analysis </b><b>within the English healthcare setting</b><b>' published in the</b><b> </b><b><i>Journal of Comparative Effectiveness Research</i></b><b>.</b><b>Supplementary equation</b><b>Aim:</b> Digital variance angiography (DVA) is a recently developed image processing method capable of improving image quality compared with the traditionally used digital subtraction angiography (DSA),among patients undergoing lower limb x-ray angiography. This study aims to explore the potential cost–effectiveness of DVA from an English National Health Service perspective. <b>Materials & methods:</b> A two-part economic model, consisting of a decision tree and a Markov model, was developed to consider the costs and health outcomes associated with the use of DVA as part of current practice imaging, compared with x-ray angiography using standard DSA. The model explored the impact of DVA on the development of acute kidney injury (AKI), chronic kidney disease and radiation-induced cancer over a lifetime horizon. Both deterministic and probabilistic analyses were performed to assess the cost per quality-adjusted life-year (QALY). <b>Results:</b> Base-case results indicate that DVA results in cost savings of £309 per patient, with QALYs also improving (+0.025) over a lifetime. As shown in sensitivity analysis, a key driver of model results is the relative risk (RR) reduction of contrast-associated acute kidney injury associated with use of DVA. The intervention also decreases the risk of carcinoma over a lifetime. Scenario analyses show that cost savings range from £310 to £553, with QALY gains ranging from 0.048 to 0.109 per patient. <b>Conclusion:</b> The use of DVA could result in a decrease in costs and an increase in QALYs over a lifetime, compared with existing imaging practice. The potential for this technology to offer an economically viable alternative to existing image processing methods, through a reduction in contrast media volume and radiation exposure, has been demonstrated.
DOI: 10.48597/pwju-2dbk
title: Measurement of POPs (persistent organic pollutants) at Norunda Stenen

description: Measurement of POPs (persistent organic pollutants) at Norunda Stenen
DOI: 10.48597/5byu-3fk7
title: Measurement of 123478_HxCDD at Norunda Stenen

description: Measurement of 123478_HxCDD at Norunda Stenen
DOI: 10.48597/gd5s-ak6w
title: Measurement of 123478_HxCDD at Norunda Stenen

description: Measurement of 123478_HxCDD at Norunda Stenen
DOI: 10.48597/yvfs-sfru
title: Measurement of 123478_HxCDD at Norunda Stenen

description: Measurement of 123478_HxCDD at Norunda Stenen
DOI: 10.48597/pfha-8m9c
title: Measurement of PCDD/F at Norunda Stenen

description: Measurement of PCDD/F at Norunda Stenen
DOI: 10.48597/6frf-fvs3
title: Measurement of 1234789_HpCDF at Norunda Stenen

description: Measurement of 1234789_HpCDF at Norunda Stenen
DOI: 10.48597/ay7a-c9vv
title: Measurement of 1234789_HpCDF at Norunda Stenen

description: Measurement of 1234789_HpCDF at Norunda Stenen
DOI: 10.48597/3dfu-wqup
title: Measurement of 1234789_HpCDF at Norunda Stenen

description: Measurement of 1234789_HpCDF at Norunda Stenen
DOI: 10.48597/gyjd-5axn
title: Measurement of 2378_TCDD at Norunda Stenen

description: Measurement of 2378_TCDD at Norunda Stenen
DOI: 10.48597/mtsp-nje6
title: Measurement of 2378_TCDD at Norunda Stenen

description: Measurement of 2378_TCDD at Norunda Stenen
DOI: 10.48597/u3ky-jtnr
title: Measurement of 2378_TCDD at Norunda Stenen

description: Measurement of 2378_TCDD at Norunda Stenen
DOI: 10.48597/bcf5-f4td
title: Measurement of 12378_PeCDF at Norunda Stenen

description: Measurement of 12378_PeCDF at Norunda Stenen
DOI: 10.48597/rnrn-9k76
title: Measurement of 12378_PeCDF at Norunda Stenen

description: Measurement of 12378_PeCDF at Norunda Stenen
DOI: 10.48597/zrbe-vw77
title: Measurement of 12378_PeCDF at Norunda Stenen

description: Measurement of 12378_PeCDF at Norunda Stenen
DOI: 10.48597/24ze-twwm
title: Measurement of 23478_PeCDF at Norunda Stenen

description: Measurement of 23478_PeCDF at Norunda Stenen
DOI: 10.48597/k2by-zkfq
title: Measurement of 23478_PeCDF at Norunda Stenen

description: Measurement of 23478_PeCDF at Norunda Stenen
DOI: 10.48597/ndmk-3v8p
title: Measurement of 1234678_HpCDD at Norunda Stenen

description: Measurement of 1234678_HpCDD at Norunda Stenen
DOI: 10.48597/xzdr-25k6
title: Measurement of 23478_PeCDF at Norunda Stenen

description: Measurement of 23478_PeCDF at Norunda Stenen
DOI: 10.5281/zenodo.10853497
title: Shear datavectors NLflags

description: Shear-Shear C_ell data vectors for fiducial cosmology and nuisance parameters. Labels refer to the nonlinear flags, the first one being matter and the second baryons. Final label denotes whether camb is used or the emulators were used. Ex: Cls_zNLA_ShearShear_NL_flags_3_0_lin_emu.dat is for matter flag 3 (HMcode2020) and baryon flag 0 (no baryons), having been generated with the linear and HMcode emulators.
DOI: 10.5281/zenodo.10853498
title: Shear datavectors NLflags

description: Shear-Shear C_ell data vectors for fiducial cosmology and nuisance parameters. Labels refer to the nonlinear flags, the first one being matter and the second baryons. Final label denotes whether camb is used or the emulators were used. Ex: Cls_zNLA_ShearShear_NL_flags_3_0_lin_emu.dat is for matter flag 3 (HMcode2020) and baryon flag 0 (no baryons), having been generated with the linear and HMcode emulators.
DOI: 10.48597/hrz9-68wv
title: Measurement of 1234678_HpCDD at Norunda Stenen

description: Measurement of 1234678_HpCDD at Norunda Stenen
DOI: 10.48597/rxqk-92qp
title: Measurement of 1234678_HpCDD at Norunda Stenen

description: Measurement of 1234678_HpCDD at Norunda Stenen
DOI: 10.48597/8b4u-j89w
title: Measurement of 123478_HxCDF at Norunda Stenen

description: Measurement of 123478_HxCDF at Norunda Stenen
DOI: 10.48597/eux9-uvmb
title: Measurement of 123478_HxCDF at Norunda Stenen

description: Measurement of 123478_HxCDF at Norunda Stenen
DOI: 10.48597/zwa4-qrke
title: Measurement of 123478_HxCDF at Norunda Stenen

description: Measurement of 123478_HxCDF at Norunda Stenen
DOI: 10.48597/7x3y-uy4e
title: Measurement of OCDD at Norunda Stenen

description: Measurement of OCDD at Norunda Stenen
DOI: 10.48597/rrty-uen2
title: Measurement of OCDD at Norunda Stenen

description: Measurement of OCDD at Norunda Stenen
DOI: 10.48597/ry7w-nr56
title: Measurement of OCDD at Norunda Stenen

description: Measurement of OCDD at Norunda Stenen
DOI: 10.48597/2tur-zbru
title: Measurement of 123678_HxCDD at Norunda Stenen

description: Measurement of 123678_HxCDD at Norunda Stenen
DOI: 10.48597/3c6f-jczv
title: Measurement of 123678_HxCDD at Norunda Stenen

description: Measurement of 123678_HxCDD at Norunda Stenen
DOI: 10.48597/ant6-u2z3
title: Measurement of 123678_HxCDD at Norunda Stenen

description: Measurement of 123678_HxCDD at Norunda Stenen
DOI: 10.48597/9aqy-kfx8
title: Measurement of 123789_HxCDD at Norunda Stenen

description: Measurement of 123789_HxCDD at Norunda Stenen
DOI: 10.48597/mzmc-h5xr
title: Measurement of 123789_HxCDD at Norunda Stenen

description: Measurement of 123789_HxCDD at Norunda Stenen
DOI: 10.48597/spfb-aeds
title: Measurement of 123789_HxCDD at Norunda Stenen

description: Measurement of 123789_HxCDD at Norunda Stenen
DOI: 10.48597/4rzs-8acq
title: Measurement of 12378_PeCDD at Norunda Stenen

description: Measurement of 12378_PeCDD at Norunda Stenen
DOI: 10.48597/rh43-vbmn
title: Measurement of 12378_PeCDD at Norunda Stenen

description: Measurement of 12378_PeCDD at Norunda Stenen
DOI: 10.48597/waxb-tegu
title: Measurement of 12378_PeCDD at Norunda Stenen

description: Measurement of 12378_PeCDD at Norunda Stenen
DOI: 10.48597/46cw-hdnk
title: Measurement of 1234678_HpCDF at Norunda Stenen

description: Measurement of 1234678_HpCDF at Norunda Stenen
DOI: 10.48597/fj8m-qamy
title: Measurement of 1234678_HpCDF at Norunda Stenen

description: Measurement of 1234678_HpCDF at Norunda Stenen
DOI: 10.48597/njqc-34yz
title: Measurement of 1234678_HpCDF at Norunda Stenen

description: Measurement of 1234678_HpCDF at Norunda Stenen
DOI: 10.48597/ap9k-cz8h
title: Measurement of OCDF at Norunda Stenen

description: Measurement of OCDF at Norunda Stenen
DOI: 10.48597/fwhw-w6fu
title: Measurement of OCDF at Norunda Stenen

description: Measurement of OCDF at Norunda Stenen
DOI: 10.48597/m73e-chef
title: Measurement of OCDF at Norunda Stenen

description: Measurement of OCDF at Norunda Stenen
DOI: 10.48597/8z9v-p8su
title: Measurement of 234678_HxCDF at Norunda Stenen

description: Measurement of 234678_HxCDF at Norunda Stenen
DOI: 10.48597/jcqw-dmmg
title: Measurement of 234678_HxCDF at Norunda Stenen

description: Measurement of 234678_HxCDF at Norunda Stenen
DOI: 10.48597/f8fz-hzh8
title: Measurement of 234678_HxCDF at Norunda Stenen

description: Measurement of 234678_HxCDF at Norunda Stenen
DOI: 10.48597/2e7v-7zpk
title: Measurement of 123678_HxCDF at Norunda Stenen

description: Measurement of 123678_HxCDF at Norunda Stenen
DOI: 10.48597/bv5z-tnt8
title: Measurement of 123678_HxCDF at Norunda Stenen

description: Measurement of 123678_HxCDF at Norunda Stenen
DOI: 10.48597/wst6-25g2
title: Measurement of 123678_HxCDF at Norunda Stenen

description: Measurement of 123678_HxCDF at Norunda Stenen
DOI: 10.5281/zenodo.10830014
title: The Positional Bias might not Influence Cartesian Genetic Programming with Crossover
DOI: 10.5281/zenodo.10830013
title: The Positional Bias might not Influence Cartesian Genetic Programming with Crossover