cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc26mft3
title: CCDC 2044475: Experimental Crystal Structure Determination

description: Related Article: Teng Yuan|2020|CSD Communication|||
description: Related Article: Teng Yuan, Qi Tang, Chuan Shan, Xiaohan Ye, Jin Wang, Pengyi Zhao, Lukasz Wojtas, Nicholas Hadler, Hao Chen, Xiaodong Shi|2021|J.Am.Chem.Soc.|143|4074|doi:10.1021/jacs.1c01811
DOI: 10.5517/ccdc.csd.cc26mfv4
title: CCDC 2044476: Experimental Crystal Structure Determination

description: Related Article: Teng Yuan|2020|CSD Communication|||
description: Related Article: Teng Yuan, Qi Tang, Chuan Shan, Xiaohan Ye, Jin Wang, Pengyi Zhao, Lukasz Wojtas, Nicholas Hadler, Hao Chen, Xiaodong Shi|2021|J.Am.Chem.Soc.|143|4074|doi:10.1021/jacs.1c01811
DOI: 10.5517/ccdc.csd.cc26mfy7
title: CCDC 2044479: Experimental Crystal Structure Determination

description: Related Article: Teng Yuan|2020|CSD Communication|||
description: Related Article: Teng Yuan, Qi Tang, Chuan Shan, Xiaohan Ye, Jin Wang, Pengyi Zhao, Lukasz Wojtas, Nicholas Hadler, Hao Chen, Xiaodong Shi|2021|J.Am.Chem.Soc.|143|4074|doi:10.1021/jacs.1c01811
DOI: 10.5517/ccdc.csd.cc26mfx6
title: CCDC 2044478: Experimental Crystal Structure Determination

description: Related Article: Teng Yuan|2020|CSD Communication|||
description: Related Article: Teng Yuan, Qi Tang, Chuan Shan, Xiaohan Ye, Jin Wang, Pengyi Zhao, Lukasz Wojtas, Nicholas Hadler, Hao Chen, Xiaodong Shi|2021|J.Am.Chem.Soc.|143|4074|doi:10.1021/jacs.1c01811
DOI: 10.5517/ccdc.csd.cc26mfw5
title: CCDC 2044477: Experimental Crystal Structure Determination

description: Related Article: Teng Yuan|2020|CSD Communication|||
description: Related Article: Teng Yuan, Qi Tang, Chuan Shan, Xiaohan Ye, Jin Wang, Pengyi Zhao, Lukasz Wojtas, Nicholas Hadler, Hao Chen, Xiaodong Shi|2021|J.Am.Chem.Soc.|143|4074|doi:10.1021/jacs.1c01811
DOI: 10.5517/ccdc.csd.cc26mfr1
title: CCDC 2044473: Experimental Crystal Structure Determination

description: Related Article: Teng Yuan|2020|CSD Communication|||
description: Related Article: Teng Yuan, Qi Tang, Chuan Shan, Xiaohan Ye, Jin Wang, Pengyi Zhao, Lukasz Wojtas, Nicholas Hadler, Hao Chen, Xiaodong Shi|2021|J.Am.Chem.Soc.|143|4074|doi:10.1021/jacs.1c01811
DOI: 10.5519/qd.dqosg56q
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (179 records)
DOI: 10.5519/qd.m70wayge
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5331 records)
DOI: 10.17870/bathspa.11561718.v1
title: bête gabriel-rufael - RESEARCH TIMELINE & QUESTIONS - Matthew Sergeant

description: <i>bête gabriel-rufael</i> is a composition for saxophone and percussion that explores the materiality of sound through performative actions particularly sensitive to the rapidity or density of their deployment. The piece was premiered at La Vitrola (Montreal) on the 14th May 2015. Subsequent performances of the piece have included the Canadaian Music Centre (Toronto), Spread Art (Detroit), Constellation Chicago (Chicago), Sprectrum (New York), and the Huddersfield Contemporary Music Festival (UK).<br>This document presents the <b>RESEARCH TIMELINE & QUESTIONS</b>.
DOI: 10.17870/bathspa.11561718
title: bête gabriel-rufael - RESEARCH TIMELINE & QUESTIONS - Matthew Sergeant

description: <i>bête gabriel-rufael</i> is a composition for saxophone and percussion that explores the materiality of sound through performative actions particularly sensitive to the rapidity or density of their deployment. The piece was premiered at La Vitrola (Montreal) on the 14th May 2015. Subsequent performances of the piece have included the Canadaian Music Centre (Toronto), Spread Art (Detroit), Constellation Chicago (Chicago), Sprectrum (New York), and the Huddersfield Contemporary Music Festival (UK).<br>This document presents the <b>RESEARCH TIMELINE & QUESTIONS</b>.
DOI: 10.15161/oar.it/73594
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.21227/ecpt-qs91
title: Computer-Aided Diagnosis using Hybrid Technique for Fastened and Accurate Analysis of Tuberculosis Detection with Adaboost And Learning Vector Quantization

description: The concept of tuberculosis detection paves a major role in this recent world because, according to the Global Tuberculosis (TB) Report in 2019, more than one million cases are reported per year in India. Even though various tests are available, the chest X-ray is the most important one, without which the detection will be incomplete. In ancient poster anterior chest radiographs, several clinical and diagnostic functions are built by the use of computationally designed algorithms. These algorithms assist in the scientific diagnostic analysis by victimization acquisition of pictures. The Digital image may be a necessary medium for analyzing, annotating, and patient's demographics coverage in the screening of TB via chest radiography. As the diagnosis of TB is the major challenge here, we have introduced a fastened technique with the merged combination of AdaBoost and learning vector Quantization for determining TB in an easier way with the input chest X-ray image of a person with the aid of computer-aided diagnosis.
DOI: 10.21227/4gps-6373
title: Forecast for January 22

description: Forecast for January 22
DOI: 10.21227/m5pz-3w93
title: Day-Ahead Forecasting using LSTM with rolling windows

description: The project involves day-ahead forecasting which takes a model fit into historical data and predicts future demand of electricity. Time series forecasting methods are used as the dataset contains an explicit order dependence between observations, i.e. a time dimension which makes the problem difficult to handle but makes the prediction more accurate. Various machine learning and deep learning algorithms were used to accomplish this work. Results obtained by autoregressive integrated moving average(ARIMA), autoregressive moving average with explanatory variable(ARIMAX), seasonal autoregressive moving average(SARIMA), seasonal autoregressive moving average(SARIMAX) and long short term memory(LSTM) recurrent neural networks with rolling windows were compared and the one with least error, i.e. LSTM with rolling windows was used for time series prediction.
DOI: 10.6084/m9.figshare.14252660
title: Data from: Evidence for the genetic similarity rule at an expanding mangrove range limit

description: Genotype data from 24 nuclear microsatellite loci for 40 mature neotropical black mangrove (<i>Avicennia germinans</i>) trees at a single collection site near their Atlantic Florida, USA range limit (29.7284, -81.2425).<br>Usage notes: column 1: tree (identification code for each host-tree); column 2-3: lon/lat (geographic coordinates for each host-tree); column 4-51: multi-locus microsatellite genotype for each host tree (24-loci)
DOI: 10.6084/m9.figshare.14252660.v1
title: Data from: Evidence for the genetic similarity rule at an expanding mangrove range limit

description: Genotype data from 24 nuclear microsatellite loci for 40 mature neotropical black mangrove (<i>Avicennia germinans</i>) trees at a single collection site near their Atlantic Florida, USA range limit (29.7284, -81.2425).<br>Usage notes: column 1: tree (identification code for each host-tree); column 2-3: lon/lat (geographic coordinates for each host-tree); column 4-51: multi-locus microsatellite genotype for each host tree (24-loci)
DOI: 10.34934/dvn/5q5qke
title: Brave Belgians - Media - AV - CG10

description: ‘Brave Belgians of the Belle Époque’ is an artistic case study that unravels the paradigm of a flourishing legacy of horn playing in Ghent at the end of the nineteenth and the beginning of the twentieth centuries. The rediscovery of this lost legacy was enabled by analysis of a comprehensive time capsule of related archival findings, historical instruments and repertoire. Findings were contextualized from the perspective of a modern-day performer, creating a practice- based framework that reflects musical performance and perception, artistic identity and the education of musicians, past, present and future. The result was comprised in a like-named doctoral dissertation to which these datasets are linked. This folder contains a dataset of audio and video and a sound bank material linked to reference horns of the 'Brave Belgians of the Belle Époque' dissertation and the likenamed documenting appendix. Media documentation (video, audio) for the doctoral dissertation 'Brave Belgians of the Belle Époque' (Ghent University, Faculty of Arts and Humanities, 2021). Section: horn solo. Documentation Horn CG10 (Ghent Royal Conservatory, F. Van Cauwelaert Breveté à Bruxelles 1938)
DOI: 10.6084/m9.figshare.14252684
title: simulation_1%_R1

description: simulation_1%_R1
DOI: 10.6084/m9.figshare.14252684.v1
title: simulation_1%_R1

description: simulation_1%_R1
DOI: 10.5519/qd.fkm8if69
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1183 records)
DOI: 10.34934/dvn/8l07x3
title: Brave Belgians - Media - AV - CG6

description: Media documentation (video, audio) for the doctoral dissertation 'Brave Belgians of the Belle Epoque' (Ghent University, Faculty of Arts and Humanities, 2021). Section: horn solo. Documentation Reference Horns (JB 1-5, MDM, YM, BI) ‘Brave Belgians of the Belle Époque’ is an artistic case study that unravels the paradigm of a flourishing legacy of horn playing in Ghent at the end of the nineteenth and the beginning of the twentieth centuries. The rediscovery of this lost legacy was enabled by analysis of a comprehensive time capsule of related archival findings, historical instruments and repertoire. Findings were contextualized from the perspective of a modern-day performer, creating a practice- based framework that reflects musical performance and perception, artistic identity and the education of musicians, past, present and future. The result was comprised in a like-named doctoral dissertation to which these datasets are linked. This folder contains a dataset of audio and video and a sound bank material linked to reference horns of the 'Brave Belgians of the Belle Époque' dissertation and the likenamed documenting appendix. Media documentation (video, audio) for the doctoral dissertation 'Brave Belgians of the Belle Époque' (Ghent University, Faculty of Arts and Humanities, 2021). Section: horn solo. Documentation Horn CG6 (Ghent Royal Conservatory, F. Van Cauwelaert Breveté à Bruxelles 1894)
DOI: 10.5517/ccdc.csd.cc26yrsq
title: CCDC 2054394: Experimental Crystal Structure Determination

description: Related Article: Jinfeng Huang, Yimin Jia, Xiangyu Li, Jianli Duan, Zhong-Xing Jiang, Zhigang Yang|2021|Org.Lett.|23|2314|doi:10.1021/acs.orglett.1c00449
DOI: 10.5517/ccdc.csd.cc26jfjq
title: CCDC 2041583: Experimental Crystal Structure Determination

description: Related Article: Kehui Han, Yanyan Wang, Pei Zhao, Xiaohui You, Jun Wang, Yanchun Guo, Yufen Zhao, Shuxia Cao|2021|J.Org.Chem.|86|4512|doi:10.1021/acs.joc.0c02953
DOI: 10.5517/ccdc.csd.cc26jg3b
title: CCDC 2041601: Experimental Crystal Structure Determination

description: Related Article: Kehui Han, Yanyan Wang, Pei Zhao, Xiaohui You, Jun Wang, Yanchun Guo, Yufen Zhao, Shuxia Cao|2021|J.Org.Chem.|86|4512|doi:10.1021/acs.joc.0c02953
DOI: 10.5517/ccdc.csd.cc26jfx3
title: CCDC 2041595: Experimental Crystal Structure Determination

description: Related Article: Kehui Han, Yanyan Wang, Pei Zhao, Xiaohui You, Jun Wang, Yanchun Guo, Yufen Zhao, Shuxia Cao|2021|J.Org.Chem.|86|4512|doi:10.1021/acs.joc.0c02953
DOI: 10.5517/ccdc.csd.cc26jg18
title: CCDC 2041599: Experimental Crystal Structure Determination

description: Related Article: Kehui Han, Yanyan Wang, Pei Zhao, Xiaohui You, Jun Wang, Yanchun Guo, Yufen Zhao, Shuxia Cao|2021|J.Org.Chem.|86|4512|doi:10.1021/acs.joc.0c02953
DOI: 10.5517/ccdc.csd.cc26jfqx
title: CCDC 2041589: Experimental Crystal Structure Determination

description: Related Article: Kehui Han, Yanyan Wang, Pei Zhao, Xiaohui You, Jun Wang, Yanchun Guo, Yufen Zhao, Shuxia Cao|2021|J.Org.Chem.|86|4512|doi:10.1021/acs.joc.0c02953
DOI: 10.5517/ccdc.csd.cc26jtbx
title: CCDC 2041949: Experimental Crystal Structure Determination

description: Related Article: Kehui Han, Yanyan Wang, Pei Zhao, Xiaohui You, Jun Wang, Yanchun Guo, Yufen Zhao, Shuxia Cao|2021|J.Org.Chem.|86|4512|doi:10.1021/acs.joc.0c02953
DOI: 10.5517/ccdc.csd.cc268y5m
title: CCDC 2034380: Experimental Crystal Structure Determination

description: Related Article: Lin Li, Huili Ma, Jingyan Zhang, Engui Zhao, Jian Hao, Huiming Huang, Hui Li, Pengfei Li, Xinggui Gu, Ben Zhong Tang|2021|J.Am.Chem.Soc.|143|3856|doi:10.1021/jacs.0c12153
DOI: 10.5517/ccdc.csd.cc2612fs
title: CCDC 2026824: Experimental Crystal Structure Determination

description: Related Article: Md. Rokon Ul Karim, Yasuko In, Tao Zhou, Enjuro Harunari, Naoya Oku, Yasuhiro Igarashi|2021|Org.Lett.|23|2109|doi:10.1021/acs.orglett.1c00210
DOI: 10.5517/ccdc.csd.cc268y2j
title: CCDC 2034377: Experimental Crystal Structure Determination

description: Related Article: Lin Li, Huili Ma, Jingyan Zhang, Engui Zhao, Jian Hao, Huiming Huang, Hui Li, Pengfei Li, Xinggui Gu, Ben Zhong Tang|2021|J.Am.Chem.Soc.|143|3856|doi:10.1021/jacs.0c12153
DOI: 10.5517/ccdc.csd.cc268y3k
title: CCDC 2034378: Experimental Crystal Structure Determination

description: Related Article: Lin Li, Huili Ma, Jingyan Zhang, Engui Zhao, Jian Hao, Huiming Huang, Hui Li, Pengfei Li, Xinggui Gu, Ben Zhong Tang|2021|J.Am.Chem.Soc.|143|3856|doi:10.1021/jacs.0c12153
DOI: 10.5517/ccdc.csd.cc268y4l
title: CCDC 2034379: Experimental Crystal Structure Determination

description: Related Article: Lin Li, Huili Ma, Jingyan Zhang, Engui Zhao, Jian Hao, Huiming Huang, Hui Li, Pengfei Li, Xinggui Gu, Ben Zhong Tang|2021|J.Am.Chem.Soc.|143|3856|doi:10.1021/jacs.0c12153
DOI: 10.5517/ccdc.csd.cc2724l2
title: CCDC 2057643: Experimental Crystal Structure Determination

description: Related Article: Lin Li, Huili Ma, Jingyan Zhang, Engui Zhao, Jian Hao, Huiming Huang, Hui Li, Pengfei Li, Xinggui Gu, Ben Zhong Tang|2021|J.Am.Chem.Soc.|143|3856|doi:10.1021/jacs.0c12153
DOI: 10.5517/ccdc.csd.cc2724m3
title: CCDC 2057644: Experimental Crystal Structure Determination

description: Related Article: Lin Li, Huili Ma, Jingyan Zhang, Engui Zhao, Jian Hao, Huiming Huang, Hui Li, Pengfei Li, Xinggui Gu, Ben Zhong Tang|2021|J.Am.Chem.Soc.|143|3856|doi:10.1021/jacs.0c12153
DOI: 10.5517/ccdc.csd.cc2724n4
title: CCDC 2057645: Experimental Crystal Structure Determination

description: Related Article: Lin Li, Huili Ma, Jingyan Zhang, Engui Zhao, Jian Hao, Huiming Huang, Hui Li, Pengfei Li, Xinggui Gu, Ben Zhong Tang|2021|J.Am.Chem.Soc.|143|3856|doi:10.1021/jacs.0c12153
DOI: 10.5517/ccdc.csd.cc2724p5
title: CCDC 2057646: Experimental Crystal Structure Determination

description: Related Article: Lin Li, Huili Ma, Jingyan Zhang, Engui Zhao, Jian Hao, Huiming Huang, Hui Li, Pengfei Li, Xinggui Gu, Ben Zhong Tang|2021|J.Am.Chem.Soc.|143|3856|doi:10.1021/jacs.0c12153
DOI: 10.5517/ccdc.csd.cc2724q6
title: CCDC 2057647: Experimental Crystal Structure Determination

description: Related Article: Lin Li, Huili Ma, Jingyan Zhang, Engui Zhao, Jian Hao, Huiming Huang, Hui Li, Pengfei Li, Xinggui Gu, Ben Zhong Tang|2021|J.Am.Chem.Soc.|143|3856|doi:10.1021/jacs.0c12153
DOI: 10.5517/ccdc.csd.cc2724r7
title: CCDC 2057648: Experimental Crystal Structure Determination

description: Related Article: Lin Li, Huili Ma, Jingyan Zhang, Engui Zhao, Jian Hao, Huiming Huang, Hui Li, Pengfei Li, Xinggui Gu, Ben Zhong Tang|2021|J.Am.Chem.Soc.|143|3856|doi:10.1021/jacs.0c12153
DOI: 10.25828/cva4-n470
title: Trends in International Mathematics and Science Study 2015
DOI: 10.6084/m9.figshare.13663667
title: ICAP 1.0 Dataset

description: Cassú Ponsatí, D., Pedrero-Pérez, E.J., Morales Alonso, S. y Ruiz-Sánchez de León, J.M. (2021). Impulsivity-Compulsivity Axis: Evidence of its Clinical Validity to Individually Classify Subjects on the Use/Abuse of Information and Communication Technologies. Frontiers in Psychology (in press).
DOI: 10.6084/m9.figshare.13663667.v2
title: ICAP 1.0 Dataset

description: The use/abuse of Information and Communication Technologies (ICT) was quantified on a sample of 807 subjects. Questionnaires were administered to measure impulsivity, compulsivity and symptoms of prefrontal dysfunction: i) The Urgency-Premeditation-Perseverance-Sensation seeking (UPPS-P) Impulsivity Scale (Lynam, 2013) in its reduced version and in Spanish (Cándido et al., 2012), ii) The Obsessive-Compulsive Drug Use Scale (OCDUS; Franken et al., 2002) adapted to an OCDUS-ICT version that has been proposed to estimate the compulsive use/abuse of ICT (Pedrero-Pérez et al., 2020), iii) The screening version of the Prefrontal Symptom Inventory (PSI-20; Pedrero-Pérez et al., 2015), and iv) The MULTICAGE-ICT (Pedrero-Pérez et al., 2018).
DOI: 10.6084/m9.figshare.14252726
title: simulation_0.1%_R1

description: simulation_0.1%_R1
DOI: 10.6084/m9.figshare.14252726.v1
title: simulation_0.1%_R1

description: simulation_0.1%_R1
DOI: 10.6084/m9.figshare.14252720.v1
title: simulation_0.4%_R1

description: simulation_0.4%_R1
DOI: 10.6084/m9.figshare.14252720
title: simulation_0.4%_R1

description: simulation_0.4%_R1
DOI: 10.6084/m9.figshare.14252690.v1
title: simulation_0.6%_R1

description: simulation_0.6%_R1
DOI: 10.6084/m9.figshare.14252690
title: simulation_0.6%_R1

description: simulation_0.6%_R1
DOI: 10.5281/zenodo.4624805
title: Open-access benchmark dataset for day-ahead electricity prices

description: Dataset comprising data from five day-ahead electricity markets: <strong>Nord pool:</strong> The Nord pool day-ahead electricity market, one of the largest European power market. <strong>PJM:</strong> The zonal prices of the COMED area in the <em>Pennsylvania-New Jersey-Maryland</em> (PJM) market. <strong>EPEX-FR:</strong> The French day-ahead electricity market. <strong>EPEX-BE:</strong> The Belgian day-ahead electricity market. <strong>EPEX-DE</strong>: The German day-ahead electricity market. Each market contains 6 years of data (we consider a year to be 364 days to have an integer number of weeks). The specific dates are: <strong>Nord pool:</strong> 01.01.2013 – 24.12.2018 <strong>PJM:</strong> 01.01.2013 – 24.12.2018 <strong>EPEX-FR:</strong> 09.01.2011 – 31.12.2016 <strong>EPEX-BE:</strong> 09.01.2011 – 31.12.2016 <strong>EPEX-DE</strong>: 09.01.2012 – 31.12.2017 Each dataset comprises historical prices and two relevant exogenous inputs based on day-ahead forecasts of price drivers. The day--ahead forecast representing other exogenous inputs are market dependent: <strong>Nord pool:</strong> System load + Wind power generation. <strong>PJM:</strong> System load + Zonal load in the COMED area. <strong>EPEX-FR:</strong> System load + Generation in France <strong>EPEX-BE:</strong> System load in France + Generation in France <strong>EPEX-DE</strong>: Zonal load in the TSO Amprion zone + Aggregated Wind and Solar power generation All datasets are given using the local timezone: <strong>Nord pool:</strong> Central European Time (CET) <strong>PJM:</strong> Eastern Time (ET) <strong>EPEX-FR:</strong> Central European Time (CET) <strong>EPEX-BE:</strong> Central European Time (CET) <strong>EPEX-DE</strong>: Central European Time (CET) For all five datasets, the daylight saving times (DST) are pre-processed by interpolating the missing values in Spring and averaging the values corresponding to the duplicated time indices in Autumn. <strong>DISCLAIMER</strong> We do not own the data, but we simply have gathered it so other researchers can easily test their methods on multiple day-ahead markets. The data has been gathered using the respective websites of each day-ahead market where these data are freely available. The websites we used to gather the data are: <strong>Nord Pool:</strong> Nord pool website <strong>PJM: </strong> PJM website <strong>EPEX-FR:</strong> ENTSO-E transparency platform + RTE website (French TSO) <strong>EPEX-BE:</strong> ENTSO-E transparency platform + RTE website (French TSO) + Elia website (Belgian TSO) <strong>EPEX-DE:</strong> ENTSO-E transparency platform + Amprion TSO website + TenneT website + 50Hertz website
DOI: 10.5281/zenodo.4624804
title: Open-access benchmark dataset for day-ahead electricity prices

description: Dataset comprising data from five day-ahead electricity markets: <strong>Nord pool:</strong> The Nord pool day-ahead electricity market, one of the largest European power market. <strong>PJM:</strong> The zonal prices of the COMED area in the <em>Pennsylvania-New Jersey-Maryland</em> (PJM) market. <strong>EPEX-FR:</strong> The French day-ahead electricity market. <strong>EPEX-BE:</strong> The Belgian day-ahead electricity market. <strong>EPEX-DE</strong>: The German day-ahead electricity market. Each market contains 6 years of data (we consider a year to be 364 days to have an integer number of weeks). The specific dates are: <strong>Nord pool:</strong> 01.01.2013 – 24.12.2018 <strong>PJM:</strong> 01.01.2013 – 24.12.2018 <strong>EPEX-FR:</strong> 09.01.2011 – 31.12.2016 <strong>EPEX-BE:</strong> 09.01.2011 – 31.12.2016 <strong>EPEX-DE</strong>: 09.01.2012 – 31.12.2017 Each dataset comprises historical prices and two relevant exogenous inputs based on day-ahead forecasts of price drivers. The day--ahead forecast representing other exogenous inputs are market dependent: <strong>Nord pool:</strong> System load + Wind power generation. <strong>PJM:</strong> System load + Zonal load in the COMED area. <strong>EPEX-FR:</strong> System load + Generation in France <strong>EPEX-BE:</strong> System load in France + Generation in France <strong>EPEX-DE</strong>: Zonal load in the TSO Amprion zone + Aggregated Wind and Solar power generation All datasets are given using the local timezone: <strong>Nord pool:</strong> Central European Time (CET) <strong>PJM:</strong> Eastern Time (ET) <strong>EPEX-FR:</strong> Central European Time (CET) <strong>EPEX-BE:</strong> Central European Time (CET) <strong>EPEX-DE</strong>: Central European Time (CET) For all five datasets, the daylight saving times (DST) are pre-processed by interpolating the missing values in Spring and averaging the values corresponding to the duplicated time indices in Autumn. <strong>DISCLAIMER</strong> We do not own the data, but we simply have gathered it so other researchers can easily test their methods on multiple day-ahead markets. The data has been gathered using the respective websites of each day-ahead market where these data are freely available. The websites we used to gather the data are: <strong>Nord Pool:</strong> Nord pool website <strong>PJM: </strong> PJM website <strong>EPEX-FR:</strong> ENTSO-E transparency platform + RTE website (French TSO) <strong>EPEX-BE:</strong> ENTSO-E transparency platform + RTE website (French TSO) + Elia website (Belgian TSO) <strong>EPEX-DE:</strong> ENTSO-E transparency platform + Amprion TSO website + TenneT website + 50Hertz website
DOI: 10.6084/m9.figshare.14252687
title: simulation_0.8%_R1

description: simulation_0.8%_R1
DOI: 10.6084/m9.figshare.14252687.v1
title: simulation_0.8%_R1

description: simulation_0.8%_R1
DOI: 10.6084/m9.figshare.14252723.v1
title: simulation_0.2%_R1

description: simulation_0.2%_R1
DOI: 10.6084/m9.figshare.14252723
title: simulation_0.2%_R1

description: simulation_0.2%_R1
DOI: 10.6084/m9.figshare.14252762
title: Aperture toy index

description: Aperture toy index including chr21
DOI: 10.6084/m9.figshare.14252762.v1
title: Aperture toy index

description: Aperture toy index including chr21