cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3855651
title: DynaRev - Dynamic Coastal Protection: Resilience of Dynamic Revetments Under Sea Level Rise

description: This dataset contains almost all raw data from the DynaRev experiments carried out in the Large Wave Flume (Grosser Wellenkanal, GWK) from 14-08-2017 to 29-09-2017 as a Transnational Access project within the EU funded project HYDRALAB+ (654110). The overall aim of this project construct a prototype-scale beach and investigate the response of the beach to a rising sea level and storms with and without a dynamic revetment structure (a gravel or shingle ridge around the wave runup limit). The response of two beach configurations was investigated under erosive wave conditions (Hs=0.8m, Tp=6.0s) and a total SLR = 0.4 m: i) an unmodified sand beach with an initially plane slope of 1:15, and<br> ii) a natural beach profile with a dynamic revetment installed at the location of the natural berm before imposing SLR. SLR was imposed in 4 steps of 0.1 m with and initial water depth of 4.5 m above the flume base. Each phase ran for a total of 58 hours, after which resilience testing under storm waves and accretive conditions was undertaken for a further 12 hours in each case. The changing profile of the sand beach and revetment was monitored throughout the experiments using a traditional profiler, LiDAR array and a multibeam sonar. Additional hydrodynamic measurements were obtained at the location of the offshore sandbar to investigate the process of bar formation and migration with SLR. The model set-up, experimental program and data structure are explained in the Data Storage Report. The dataset provided here does not contain the LIDAR data and video data, which are too big. These data can be provided by the authors upon request.
description: The data is provided as individual zip-files for each instrument/data type and each day of the experiment. This shall keep file sizes reasonably small and facilitate the download at lower streaming rates.
DOI: 10.25592/uhhfdm.984
title: 3D Model of a hand with Erythema multiforme

description: 3D Model of a hand with Erythema multiforme
DOI: 10.4119/unibi/2943403
title: Learning and returning flights of bumblebees Bombus terrestris in an octogonal arena.

description: How animals acquire, process and combine information about the world to navigate accurately is a fundamental question in biology. A foraging buff-tailed bumblebee *Bombus terrestris*, for instance, will start its journey by leaving its nest situated underground and accessible by a hole of about 1cm diameter. To use visual information on returning trips, the insects need to acquire and memorise it on outbound journeys. Bumblebees engage in peculiar flight manneouvers during outbounds journeys thought to be the time of learning visual information around the nest ("learning flights" or "orientation flights"). At the onset of the PhD project of Anne Lobecke, the development of these flights from naive to experienced individuals has not been described in the litterature. Anne Lobecke recorded the behaviour of individually marked bumblebees *Bombus terrestris* in an octogonal flight arena. Here we provide the trajectories (positions and long-body axis orientations over time) of the bumblebees within the octagonal flight arena together with a 3D model of the arena.
DOI: 10.5281/zenodo.3859062
title: Intra- and inter-annual dynamics of evaporation over western Lake Erie

description: <strong>This dataset if for a manuscript: Intra- and inter-annual dynamics of evaporation over western Lake Erie, by </strong>CHANGLIANG SHAO, JIQUAN CHEN, CAROL A. STEPIEN, HOUSEN CHU, ZUTAO OUYANG. The dataset including six sheets, from figure2 to figure 7 in the manuscript. Information shows as following: Fig. 2. Monthly mean (a) air temperature (<em>T</em><sub>a</sub>), (b) wind speed (<em>U</em>), (c) vapor pressure deficit (<em>VPD</em>), (d) photosynthetically active radiation (<em>PAR</em>), and total and cumulative (e) rainfall of ~15 m above the water surface at the CB and LI sites over Lake Erie from September 2011 to May 2016. Long-term (1893–2015) average (gray lines) and its 90% quantile intervals (gray shaded areas) are presented in (a). Fig. 3. Monthly average diurnal course of evaporation at the CB and LI sites in western Lake Erie. Data covered all of the measurement period. Fig. 4. Seasonal changes of net radiation (<em>R</em><sub>n</sub>) and latent heat flux (LE) at the two Lake Erie sites from 2011 through 2016. The monthly LE variations also are shown. The sine function was used to fit the dynamic seasonal variations (see equation 6). The sinusoidal period was set to 12. Fig. 5. Linear relationships between the monthly lake evaporation (<em>E</em>) and the same month net radiation (<em>R</em><sub>n</sub>) (a and b), and 1-month early <em>R</em><sub>n</sub> (c and d) at the two sites. The lines represent the linear fitted tendency. Fig. 6. Linear relationship between modeled evaporation (<em>E</em>, Eq. (4)) and the measured values during the entire measurement period, on a monthly basis. The line represents the linear fitted tendency. Fig. 7. Relationships between latent heat flux (<em>E</em>) and (a, b) the product of <em>U</em> (wind speed) and vapor pressure deficit (<em>VPD</em>), (c, d) <em>VPD</em>, (e, f) air temperature, and (g, h) wind speed at the two sites, on a monthly basis. A linear fit with 95% confidence intervals, the correlation between the variables, and the linear model <em>P</em> value are shown in all plots.
DOI: 10.5281/zenodo.3859063
title: Intra- and inter-annual dynamics of evaporation over western Lake Erie

description: <strong>This dataset if for a manuscript: Intra- and inter-annual dynamics of evaporation over western Lake Erie, by </strong>CHANGLIANG SHAO, JIQUAN CHEN, CAROL A. STEPIEN, HOUSEN CHU, ZUTAO OUYANG. The dataset including six sheets, from figure2 to figure 7 in the manuscript. Information shows as following: Fig. 2. Monthly mean (a) air temperature (<em>T</em><sub>a</sub>), (b) wind speed (<em>U</em>), (c) vapor pressure deficit (<em>VPD</em>), (d) photosynthetically active radiation (<em>PAR</em>), and total and cumulative (e) rainfall of ~15 m above the water surface at the CB and LI sites over Lake Erie from September 2011 to May 2016. Long-term (1893–2015) average (gray lines) and its 90% quantile intervals (gray shaded areas) are presented in (a). Fig. 3. Monthly average diurnal course of evaporation at the CB and LI sites in western Lake Erie. Data covered all of the measurement period. Fig. 4. Seasonal changes of net radiation (<em>R</em><sub>n</sub>) and latent heat flux (LE) at the two Lake Erie sites from 2011 through 2016. The monthly LE variations also are shown. The sine function was used to fit the dynamic seasonal variations (see equation 6). The sinusoidal period was set to 12. Fig. 5. Linear relationships between the monthly lake evaporation (<em>E</em>) and the same month net radiation (<em>R</em><sub>n</sub>) (a and b), and 1-month early <em>R</em><sub>n</sub> (c and d) at the two sites. The lines represent the linear fitted tendency. Fig. 6. Linear relationship between modeled evaporation (<em>E</em>, Eq. (4)) and the measured values during the entire measurement period, on a monthly basis. The line represents the linear fitted tendency. Fig. 7. Relationships between latent heat flux (<em>E</em>) and (a, b) the product of <em>U</em> (wind speed) and vapor pressure deficit (<em>VPD</em>), (c, d) <em>VPD</em>, (e, f) air temperature, and (g, h) wind speed at the two sites, on a monthly basis. A linear fit with 95% confidence intervals, the correlation between the variables, and the linear model <em>P</em> value are shown in all plots.
DOI: 10.5281/zenodo.3859702
title: Global ECMWF Fire Forecasting system - sample data for wildfires in Siberia on 23-25 July 2019

description: The European Centre for Medium-Range Weather Forecasts (ECMWF) produces daily fire danger forecasts and reanalysis products from the Global ECMWF Fire Forecast (GEFF) model. Reanalysis is available through the Copernicus Climate Data Store (CDS) while the medium-range real-time forecast is available through the EFFIS and GWIS platforms. This repository provides FWI sample datasets for the assessment of the Siberian wildfires occurred on 23-25 July 2019: GEFF-reanalysis, which provides historical records of fire danger conditions e5_hr, this folder contains deterministic model outputs e5_en, this folder contains probabilistic model outputs (made of 10 ensemble members) GEFF-realtime provides real-time forecasts generated using weather forcings from the model cycle 46r1 of the ECMWF’s Integrated Forecasting System (IFS). rt_hr, this folder contains high-resolution deterministic forecasts (~9 Km) rt_en, this folder contains probabilistic forecasts (~18Km) Geographical bounding box: lon_min = 40, lon_max = 180, lat_min = -10, lat_max = 90 <strong>Please note, the sample data provided in this repository is intended to be used for education purposes only (e.g. training courses).</strong> These products have been developed as part of the EU-funded Copernicus Emergency Management Services (CEMS) and complement other Copernicus products related to fire, such as the biomass-burning emissions made available by the Copernicus Atmosphere Monitoring Service (CAMS). The development of the GEFF modelling system was funded through a third-party agreement with the European Commission’s Joint Research Centre (JRC). GEFF produces fire danger indices based on the Canadian Fire Weather index as well as the US and Australian fire danger models. GEFF datasets are under the Copernicus license, which provides users with free, full and open access to environmental data. For more information, please refer to the documentation on the CDS and on the EFFIS website.
DOI: 10.5281/zenodo.3859703
title: Global ECMWF Fire Forecasting system - sample data for wildfires in Siberia on 23-25 July 2019

description: The European Centre for Medium-Range Weather Forecasts (ECMWF) produces daily fire danger forecasts and reanalysis products from the Global ECMWF Fire Forecast (GEFF) model. Reanalysis is available through the Copernicus Climate Data Store (CDS) while the medium-range real-time forecast is available through the EFFIS and GWIS platforms. This repository provides FWI sample datasets for the assessment of the Siberian wildfires occurred on 23-25 July 2019: GEFF-reanalysis, which provides historical records of fire danger conditions e5_hr, this folder contains deterministic model outputs e5_en, this folder contains probabilistic model outputs (made of 10 ensemble members) GEFF-realtime provides real-time forecasts generated using weather forcings from the model cycle 46r1 of the ECMWF’s Integrated Forecasting System (IFS). rt_hr, this folder contains high-resolution deterministic forecasts (~9 Km) rt_en, this folder contains probabilistic forecasts (~18Km) Geographical bounding box: lon_min = 40, lon_max = 180, lat_min = -10, lat_max = 90 <strong>Please note, the sample data provided in this repository is intended to be used for education purposes only (e.g. training courses).</strong> These products have been developed as part of the EU-funded Copernicus Emergency Management Services (CEMS) and complement other Copernicus products related to fire, such as the biomass-burning emissions made available by the Copernicus Atmosphere Monitoring Service (CAMS). The development of the GEFF modelling system was funded through a third-party agreement with the European Commission’s Joint Research Centre (JRC). GEFF produces fire danger indices based on the Canadian Fire Weather index as well as the US and Australian fire danger models. GEFF datasets are under the Copernicus license, which provides users with free, full and open access to environmental data. For more information, please refer to the documentation on the CDS and on the EFFIS website.
DOI: 10.5281/zenodo.3859872
title: Supplementary table 1 Mean ELISA S/P% value and real-time RT-PCR Ct values

description: Mean ELISA S/P% value and real-time RT-PCR Ct values for 28 days post infection are shown
DOI: 10.5525/gla.researchdata.1017
title: Visualising Viruses: Using molecular illustration to understand COVID-19 and influenza

description: SARS-CoV-2 materials were created in 2020 by Annabel Slater and the MRC-University of Glasgow Centre for Virus Research and are licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0 license; https://creativecommons.org/licenses/by/4.0/). Under the terms of this license you may use, share and adapt these materials for any purpose, providing that attribution is given.
DOI: 10.5281/zenodo.3859871
title: Supplementary table 1 Mean ELISA S/P% value and real-time RT-PCR Ct values.

description: Mean ELISA S/P% value and real-time RT-PCR Ct values for 28 days post infection are shown
DOI: 10.21227/2npg-c280
title: IEEE-CIS Technical Challenge on Energy Prediction from Smart Meter Data

description: Goal: apply computational intelligence on a real-world application
DOI: 10.5281/zenodo.3859475
title: Simulation dataset of "Particle-in-cell simulations of characteristics of rising-tone chorus waves in the inner magnetosphere"

description: Simulation dataset of "Particle-in-cell simulations of characteristics of rising-tone chorus waves in the inner magnetosphere", including magnetic fields and parallel and perpendicular temperatures of energetic electrons.
DOI: 10.5281/zenodo.3859476
title: Simulation dataset of "Particle-in-cell simulations of characteristics of rising-tone chorus waves in the inner magnetosphere"

description: Simulation dataset of "Particle-in-cell simulations of characteristics of rising-tone chorus waves in the inner magnetosphere", including magnetic fields and parallel and perpendicular temperatures of energetic electrons.
DOI: 10.15468/hcdjmv
title: The bats of the Congo and of Rwanda and Burundi revisited (Mammalia: Chiroptera)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Cakenberghe, Victor Van, Tungaluna, Guy-Crispin Gembu, Akawa, Prescott Musaba, Seamark, Ernest, Verheyen, Erik (2017): The bats of the Congo and of Rwanda and Burundi revisited (Mammalia: Chiroptera). European Journal of Taxonomy 382: 1-327, DOI: https://doi.org/10.5852/ejt.2017.382
DOI: 10.15468/yhe5nq
title: A taxonomic revision of geoemydid turtles from Siwalik-age of India and Pakistan

description: This dataset contains the digitized treatments in Plazi based on the original journal article Garbin, Rafaella C., Bandyopadhyay, Saswati, Joyce, Walter G. (2020): A taxonomic revision of geoemydid turtles from Siwalik-age of India and Pakistan. European Journal of Taxonomy 652 (652): 1-67, DOI: https://doi.org/10.5852/ejt.2020.652
DOI: 10.25592/uhhfdm.986
title: 3D Model of an Eye Mirror medical device

description: 3D Model of an Eye Mirror medical device
DOI: 10.5281/zenodo.3859895
title: Microsatellite genotypes of bearded vultures (Gypaetus barbatus)

description: Multilocus microsatellite genotypes of 236 <em>Gypaetus barbatus </em>individuals. This first column contains the individual sample identity as provided in Supplementary Data 1 and subsequent columns are allele scores in single row format. Alleles are scored according to their molecular size (in base pairs); missing data is given as "0".
DOI: 10.18465/mns_estuaire_loire_2019
title: MNS Estuaire de la Loire 2019

description: Modèle Numérique de Surface obtenue par LiDAR de l'estuaire de la Loire
DOI: 10.15139/s3/lmqtub
title: Community Couples Physical Activity Study, 2017

description: Fifty-six opposite-sex couples (N=112) living in Northeast Ohio, with a mean age of 42 years old, participated in this study. Couples had to be living together, speak English fluently, and one of the partners had to be an exerciser (exercised at least 2/week over the past 2 weeks and have moderate to strong intentions to exercise over the next 2 weeks) but not a professional athlete. Procedures: 2.5 hour intake session 14 days of daily diaries 14 days of experience sampling 7 days of wearing physical activity monitors (ActiGraph) 7 days of salivary cortisol collection, 3x per day 30 minute exit session This study was approved by Kent State University, IRB protocol #15-635
DOI: 10.25592/uhhfdm.988
title: 3D Model of an Eye Mirror medical device - part Mirror

description: 3D Model of an Eye Mirror medical device - part Mirror
DOI: 10.5281/zenodo.3854909
title: An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization

description: This is the data and source code used in the paper below: Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff and Thomas Bäck, “An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization”, in 2019 IEEE Symposium Series on Computational Intelligence (SSCI), Xiamen, China, 6-9 December 2019, doi: 10.1109/SSCI44817.2019.9002805 This research investigates the potential of using meta-modeling techniques in the context of robust optimization namely optimization under uncertainty/noise. A systematic empirical comparison is performed for evaluating and comparing different meta-modeling techniques for robust optimization. The experimental setup includes three noise levels, six meta-modeling algorithms, and six benchmark problems from the continuous optimization domain, each for three different dimensionalities. Two robustness definitions: robust regularization and robust composition, are used in the experiments. The meta-modeling techniques are evaluated and compared with respect to the modeling accuracy and the optimal function values. The results clearly show that Kriging, Support Vector Machine and Polynomial regression perform excellently as they achieve high accuracy and the optimal point on the model landscape is close to the true optimum of test functions in most cases.
DOI: 10.5281/zenodo.3854910
title: An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization

description: This is the data and source code used in the paper below: Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff and Thomas Bäck, “An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization”, in 2019 IEEE Symposium Series on Computational Intelligence (SSCI), Xiamen, China, 6-9 December 2019, doi: 10.1109/SSCI44817.2019.9002805 This research investigates the potential of using meta-modeling techniques in the context of robust optimization namely optimization under uncertainty/noise. A systematic empirical comparison is performed for evaluating and comparing different meta-modeling techniques for robust optimization. The experimental setup includes three noise levels, six meta-modeling algorithms, and six benchmark problems from the continuous optimization domain, each for three different dimensionalities. Two robustness definitions: robust regularization and robust composition, are used in the experiments. The meta-modeling techniques are evaluated and compared with respect to the modeling accuracy and the optimal function values. The results clearly show that Kriging, Support Vector Machine and Polynomial regression perform excellently as they achieve high accuracy and the optimal point on the model landscape is close to the true optimum of test functions in most cases.
DOI: 10.15468/5n46fj
title: A mountain of millipedes I: An endemic species-group of the genus Chaleponcus Attems, 1914, from the Udzungwa Mountains, Tanzania (Diplopoda, Spirostreptida, Odontopygidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Enghoff, Henrik (2014): A mountain of millipedes I: An endemic species-group of the genus Chaleponcus Attems, 1914, from the Udzungwa Mountains, Tanzania (Diplopoda, Spirostreptida, Odontopygidae). European Journal of Taxonomy 100: 1-75, DOI: http://dx.doi.org/10.5852/ejt.2014.100
DOI: 10.34725/dvn/1dynqh
title: Merged and Cleaned AgBiodiversity Endline Farm and Nutrition Data in Uganda and Ethiopia

description: Merged and Cleaned AgBiodiversity Endline Farm and Nutrition Data in Uganda and Ethiopia
DOI: 10.34725/dvn/1dynqh/fsvzjd
title: AgBiodiversityEndlineEthiopiaFarmNutritionMerged.xlsx

description: Endline Ethiopia Data Farm and Nutrition
DOI: 10.34725/dvn/1dynqh/fwdig0
title: AgBiodiversityEndlineUgandaFarmNutritionMerged.xlsx

description: AgBiodiversity Endline Data for Uganda Farm and Nutrition Merged
DOI: 10.34725/dvn/1dynqh/vu0gfd
title: Disclaimer.pdf

description: Disclaimer
DOI: 10.5281/zenodo.3859908
title: Data-driven Household Load Flexibility Modelling: Shiftable Atomic Load

description: This is flexibility model for shiftable atomic loads (i.e. washing machine, dryers and dish washers). The model is based on real 1-minute level measurements from real households over period of time. The details of the model are described in [R]. The model is implemented in Excel for cloth washing machines weekday consumption and flexibility scenario and all the required data is included for modelling the other equipment. [R] Degefa, M.Z., Sæle, H., Petersen, I. and Ahcin, P., 2018, October. Data-driven Household Load Flexibility Modelling: Shiftable Atomic Load. In <em>2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)</em> (pp. 1-6). IEEE. https://ieeexplore.ieee.org/document/8571836
DOI: 10.5281/zenodo.3859909
title: Data-driven Household Load Flexibility Modelling: Shiftable Atomic Load

description: This is flexibility model for shiftable atomic loads (i.e. washing machine, dryers and dish washers). The model is based on real 1-minute level measurements from real households over period of time. The details of the model are described in [R]. The model is implemented in Excel for cloth washing machines weekday consumption and flexibility scenario and all the required data is included for modelling the other equipment. [R] Degefa, M.Z., Sæle, H., Petersen, I. and Ahcin, P., 2018, October. Data-driven Household Load Flexibility Modelling: Shiftable Atomic Load. In <em>2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)</em> (pp. 1-6). IEEE. https://ieeexplore.ieee.org/document/8571836
DOI: 10.5281/zenodo.3859498
title: Data supplement for "Bifurcations of front motion in passive and active Allen-Cahn-type equations"

description: This dataset contains the data and source files for figures 5 and 7-10 in the following publication: F. Stegemerten, S.V. Gurevich, U. Thiele <em>'Bifurcations of front motion in passive and active Allen–Cahn-type equations' </em> published in 2020 in CHAOS. Please follow the instructions given in 'Readme.txt'.
DOI: 10.5281/zenodo.3859593
title: When and How to Transfer Knowledge in Dynamic Multi-objective Optimization

description: This file is the output data obtained when running the experiments of the paper below: Ruan, G., Minku, L.L., Menzel, S., Sendhoff, B., Yao, X., "When and How to Transfer Knowledge in Dynamic Multi-objective Optimization," 2019 IEEE Symposium Series on Computational Intelligence (SSCI), Xiamen, China, 2019, pp. 2034-2041. Transfer learning has been used for solving multiple optimization and dynamic multi-objective optimization problems, since transfer learning is able to transfer useful information from one problem to help solving another related problem. This paper aims to investigate when and how transfer learning works or fails in dynamic multi-objective optimization. Through computational analyses on a number of dynamic bi- and tri-objective benchmark problems, we show that transfer learning fails on problems with fixed Pareto optimal solution sets and under small environmental changes. We also show that the Gaussian kernel function used in the existing transfer learning-based method is not always adequate. Therefore, transfer learning should be avoided when dealing with problems for which transfer learning fails and other kernel functions should be used when the Gaussian kernel is inadequate. This paper proposes novel strategies and kernel functions that can be used in such cases. Experimental studies have demonstrated the superiority of our proposed techniques to state-of-the-art methods, on a number of dynamic bi- and tri-objective test problems.