cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9bvcw1n
title: Sediment Concentration, Water Velocity, and Suspended Particle Size and Settling Data to Estimate Estuarine Sediment Flux at Dumbarton Bridge, San Francisco Bay, CA from 2018 - 2019

description: Measurements of suspended sediment concentration, water velocity, suspended-sediment particle size, and suspended-sediment particle settling velocity were collected to estimate suspended-sediment flux and investigate sediment transport processes at Dumbarton Bridge in San Francisco Bay (NWIS station 373015122071000) from calendar year 2018 to 2019. Data were collected using: stationary and boat-mounted acoustic Doppler current meters (ADCP, a 1 MHz Nortek Aquadopp and a 1200kHz Teledyne RiverPro, respectively), four stationary and one profiling multiparameter water quality profiling sondes (YSI 6920), a stationary acoustic backscattering sensor (ABS, Sequoia LISST-ABS), a stationary laser diffraction particle size analyzer (Sequoia LISST100x), and a settling chamber with an integrated video camera used to measure in-situ particle size and settling rates (see Manning and Dyer, 2002). All data from the boat-mounted ADCP is provided in "Boat_mounted_ADCP_data.zip". All data from the LISST100x is provided in "LISST100x.zip". Data from the remaining instrumentation is provided in seperate .csv files. Data collection occurred at two primary locations. At a pier of Dumbarton Bridge at 37.5056361, -122.1188833 (all coordinates herein are provided in WGS84) collocated with NWIS station 373015122071000 and at nearby cross-channel transect defined between 37.4986167, -122.1181833 (River Left) to 37.5029500, -122.1117167 (River Right). All stationary instrumentation was mounted to two locations on a pier of Dumbarton Bridge. Mobile instrumentation, the boat-mounted ADCP and profiling multiparameter water quality sondes, were utilized to measure water velocity and estimate suspended-sediment concentration profiles at the cross-channel transect and at the bridge pier. Latitude, longitude, and depth from water surface for each sample collected by the mobile instrumentation is provided in the data files. Cross-section averaged estimates of suspended-sediment flux were computed using the methods of Livsey and others (2020) and references therein. References Livsey, D.N., Downing-Kunz, M.A., Schoellhamer, D.H. and Manning, A.J., Suspended Sediment Flux in the San Francisco Estuary: Part I--Changes in the Vertical Distribution of Suspended Sediment and Bias in Estuarine Sediment Flux Measurements. Estuaries and Coasts, pp.1-17. https://doi.org/10.1007/s12237-020-00734-z Manning, A.J. and Dyer, K.R., 2007. Mass settling flux of fine sediments in Northern European estuaries: measurements and predictions. Marine Geology, 245, 107-122, doi:10.1016/j.margeo.2007.07.005.
DOI: 10.5281/zenodo.3898450
title: NN5 Daily Dataset (with Missing Values)

description: This dataset was used in the NN5 forecasting competition. It contains 111 daily time series from the banking domain. The goal is predicting the daily cash withdrawals from ATMs in UK.<br>
description: {"references": ["Taieb, S.B., Bontempi, G., Atiya, A.F., Sorjamaa, A., 2012. A review and comparison of strategies for multi-step ahead time series forecasting based on the nn5 forecasting competition. Expert Systems withApplications 39(8), 7067 - 7083.", "Neural Forecasting Competitions, 2008. NN5 forecasting competition for artificial neural networks and computational intelligence. Accessed: 2020-05-10. URL http://www.neural-forecasting-competition.com/NN5/"]}
DOI: 10.5281/zenodo.3897382
title: Emissions changes in 2020 due to Covid19

description: <strong>Emissions and climate effects due to the COVID-19 response</strong> Monthly emissions and concentrations for the effects of the Covid-19 pandemic and resulting society response. All scenarios should be compared to the input4MIPS SSP245 baseline https://esgf-node.llnl.gov/search/input4mips/ Four scenarios are given for departures from the SSP245 baseline. Scenarios depart after the start of 2020. Monthly concentrations of CO2, CH4 and N2O are provided over 2015-2050. For short-lived species emissions are provided for BC, CO, OC, SO2, NH3, NOx, & NMVOCs. Monthly values for years:2015,2019,2020,2023,2030,2040 and 2050 are provided for the four scenarios. These should also be compared directly to the SSP2245 baseline available from the input4MIPS website. Funding was provided by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement nos. 820829 (CONSTRAIN) http://constrain-eu.org/ see https://github.com/Priestley-Centre/COVID19_emissions for more details Contact Piers Forster (p.m.forster@leeds.ac.uk) for more details. www.climate.leeds.ac.uk
description: Changed from EDGAR emissions used in version 1 to input4MIPS emissions
DOI: 10.5281/zenodo.3898451
title: Grades of Computer Science Students in a Nigerian University

description: <strong>Brief Description of Dataset</strong> The dataset contains information about students in a 5-year Bachelor of Technology Degree in Computer Science from a North Eastern Nigerian University of Technology. The year of enrolment of the students ranges from 2005 to 2015. In the dataset, “NA” means that the student did not attempt the course. <strong>Data Cleaning</strong> First steps: the student marks that are less than 40 are excluded, as the course has to be retaken to be passed with a minimum of 50 marks. In addition, courses that are taken outside of graduation audit by students are eliminated. There were 430 students screened for enrolment in the study with 95 being excluded because they did not take the course within the period of degree program for their early exemption. The exact ages of the participants are unknown other than all students enrolled were aged above 18 years of age.
DOI: 10.5281/zenodo.3888488
title: Inputs to calculate the solvation free energies of ECC ions in SPCE water

description: Scripts and input files for the calculation of the solvation free energies of selected cations with the ECC model. The simulation box contains one cation and 800 water molecules. The ion topologies are from https://bitbucket.org/hseara/ions. Notably, before comparison with experimental values, the electronic solvation free energy contribution must be added to the result [1], as well as the correction due to the use of neutralizing charge density [2]. In each folder, ./run.sh creates the folders representing different lambda values in the free energy perturbation approach and performs the respective calculation in each folder. There are a total of 31 windows (11 for electrostatics and 20 for Lennard-Jones). After running the script, the free energy can be extracted by gmx bar -f ?/md.xvg ??/md.xvg -temp 298 -o -b 100 The results are reported in DOI: [ADD] [1] DOI: 10.1021/ct9005807 [2] DOI: 10.1080/08927022.2015.1121544
DOI: 10.5281/zenodo.3888487
title: Inputs to calculate the solvation free energies of ECC ions in SPCE water

description: Scripts and input files for the calculation of the solvation free energies of selected cations with the ECC model. The simulation box contains one cation and 800 water molecules. The ion topologies are from https://bitbucket.org/hseara/ions. Notably, before comparison with experimental values, the electronic solvation free energy contribution must be added to the result [1], as well as the correction due to the use of neutralizing charge density [2]. In each folder, ./run.sh creates the folders representing different lambda values in the free energy perturbation approach and performs the respective calculation in each folder. There are a total of 31 windows (11 for electrostatics and 20 for Lennard-Jones). After running the script, the free energy can be extracted by gmx bar -f ?/md.xvg ??/md.xvg -temp 298 -o -b 100 The results are reported in DOI: [ADD] [1] DOI: 10.1021/ct9005807 [2] DOI: 10.1080/08927022.2015.1121544
DOI: 10.5281/zenodo.3898460
title: Tourism Yearly Dataset

description: This dataset contains 518 yearly time series used in the Kaggle Tourism forecasting competition.
description: {"references": ["Athanasopoulos, G., Hyndman, R. J., Song, H., Wu, D. C., 2011. The tourism forecasting competition. International Journal of Forecasting 27 (3), 822\u2013844.", "Ellis, P., 2018. Tcomp: data from the 2010 tourism forecasting competition. https://cran.r-project.org/web/packages/Tcomp."]}
DOI: 10.5281/zenodo.3898465
title: Tourism Monthly Dataset

description: This dataset contains 366 monthly time series used in the Kaggle Tourism forecasting competition.
description: {"references": ["Athanasopoulos, G., Hyndman, R. J., Song, H., Wu, D. C., 2011. The tourism forecasting competition. International Journal of Forecasting 27 (3), 822\u2013844.", "Ellis, P., 2018. Tcomp: data from the 2010 tourism forecasting competition. https://cran.r-project.org/web/packages/Tcomp."]}
DOI: 10.5281/zenodo.3898466
title: Tourism Quarterly Dataset

description: This dataset contains 427 quarterly time series used in the Kaggle Tourism forecasting competition.
description: {"references": ["Athanasopoulos, G., Hyndman, R. J., Song, H., Wu, D. C., 2011. The tourism forecasting competition. International Journal of Forecasting 27 (3), 822\u2013844.", "Ellis, P., 2018. Tcomp: data from the 2010 tourism forecasting competition. https://cran.r-project.org/web/packages/Tcomp."]}
DOI: 10.5281/zenodo.3898331
title: London Smart Meters Dataset (without Missing Values)

description: Kaggle London Smart Meters dataset contains 5560 half hourly time series that represent the energy consumption readings of London households in kilowatt hour (kWh) from November 2011 to February 2014. The original dataset contains missing values. They have been replaced by carrying forward the corresponding last observations (LOCF method).
description: {"references": ["Kaggle, 2019. Smart meter data from london area. URL https://www.kaggle.com/jeanmidev/smart-meters-in-london"]}
DOI: 10.5281/zenodo.3898174
title: Statistics of turbulent tracer dispersion from UV camera observations of SO 2, Data set

description: LES and radiation transport data sets used to produce the figures in the manuscript: Kylling, A., Ardeshiri, H., Cassiani, M., Dinger, A. S., Park, S.-Y., Pisso, I., Schmidbauer, N., Stebel, K., and Stohl, A.: Can statistics of turbulent tracer dispersion be inferred from camera observations of SO2 in the ultraviolet?, Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2019-286, in review, 2019 See README file for further description of files.
description: The resources for the numerical simulations and data storage were provided by UNINETT Sigma2 – the National Infrastructure for High Performance Computing and Data Storage in Norway (project nos. NN9419K and NS9419K).
DOI: 10.5281/zenodo.3898173
title: Statistics of turbulent tracer dispersion from UV camera observations of SO 2, Data set

description: LES and radiation transport data sets used to produce the figures in the manuscript: Kylling, A., Ardeshiri, H., Cassiani, M., Dinger, A. S., Park, S.-Y., Pisso, I., Schmidbauer, N., Stebel, K., and Stohl, A.: Can statistics of turbulent tracer dispersion be inferred from camera observations of SO2 in the ultraviolet?, Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2019-286, in review, 2019 See README file for further description of files.
description: The resources for the numerical simulations and data storage were provided by UNINETT Sigma2 – the National Infrastructure for High Performance Computing and Data Storage in Norway (project nos. NN9419K and NS9419K).
DOI: 10.5281/zenodo.3888436
title: Simulations of the air-water interface at the presence of salt, Dang ions + SPCE water model

description: Simulations of a water–air interface. There are ~20000 water molecules with various concentrations of NaCl or CaCl_2 in a simulation box of 12*12*22 nm^3. The SPCE water and the ions by Dang et al. are used. The numbering in file names corresponds to the different concentrations, and data for a pure water–air interface "NOION" is also provided. GROMACS-compatible inputs are provided: simulation parameters (md.mdp), topologies (top), and index (ndx) files. Initial structure can be extracted from the tpr file using gmx editconf. The run input (tpr) is provided, as are the outputs: energy file (edr), trajectory (xtc), and final structure (gro). Surface tensions can be extracted by gmx energy. These values are reported in DOI: [ADD]. Data for scaled ions based on the electronic continuum correction (ECC) with two different water models are provided in DOI: 10.5281/zenodo.3888383 (SPCE) and DOI: 10.5281/zenodo.3888369 (OPC).
DOI: 10.5281/zenodo.3888435
title: Simulations of the air-water interface at the presence of salt, Dang ions + SPCE water model

description: Simulations of a water–air interface. There are ~20000 water molecules with various concentrations of NaCl or CaCl_2 in a simulation box of 12*12*22 nm^3. The SPCE water and the ions by Dang et al. are used. The numbering in file names corresponds to the different concentrations, and data for a pure water–air interface "NOION" is also provided. GROMACS-compatible inputs are provided: simulation parameters (md.mdp), topologies (top), and index (ndx) files. Initial structure can be extracted from the tpr file using gmx editconf. The run input (tpr) is provided, as are the outputs: energy file (edr), trajectory (xtc), and final structure (gro). Surface tensions can be extracted by gmx energy. These values are reported in DOI: [ADD]. Data for scaled ions based on the electronic continuum correction (ECC) with two different water models are provided in DOI: 10.5281/zenodo.3888383 (SPCE) and DOI: 10.5281/zenodo.3888369 (OPC).
DOI: 10.5281/zenodo.3898467
title: CIF 2016 Dataset

description: The Computational Intelligence in Forecasting (CIF) 2016 dataset contains 72 monthly time series originated from the banking domain used in the CIF 2016 forecasting competition. Out of the 72 time series, 24 series contains real-time data while the remaining 48 series are artificially generated. There are two forecast horizons considered in the competition where 57 series consider the forecast horizon as 12 and the remaining 15 series consider the forecast horizon as 6.
description: {"references": ["Stepnicka, M., Burda, M., 2017. On the results and observations of the time series forecasting competition CIF 2016. In: 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). pp. 1\u20136."]}
DOI: 10.5281/zenodo.3888383
title: Simulations of the air-water interface at the presence of salt, ECC ions + SPCE water model

description: Simulations of a water–air interface. There are ~20000 water molecules with various concentrations of NaCl or CaCl_2 in a simulation box of 12*12*22 nm^3. The SPCE water and the ions with scaled charges based on the electronic continuum correction (ECC) are used. The numbering in file names corresponds to the different concentrations, and data for a pure water–air interface "NOION" is also provided. GROMACS-compatible inputs are provided: simulation parameters (md.mdp), topologies (top), and index (ndx) files. Initial structure can be extracted from the tpr file using gmx editconf. The run input (tpr) is provided, as are the outputs: energy file (edr), trajectory (xtc), and final structure (gro). Surface tensions can be extracted by gmx energy. These values are reported in DOI: [ADD]. Data for these ECC ions with OPC water is provided at DOI: 10.5281/zenodo.3888369 and for the full charge ions by Dang et al. in SPCE water at DOI: 10.5281/zenodo.3888436.
DOI: 10.5281/zenodo.3888382
title: Simulations of the air-water interface at the presence of salt, ECC ions + SPCE water model

description: Simulations of a water–air interface. There are ~20000 water molecules with various concentrations of NaCl or CaCl_2 in a simulation box of 12*12*22 nm^3. The SPCE water and the ions with scaled charges based on the electronic continuum correction (ECC) are used. The numbering in file names corresponds to the different concentrations, and data for a pure water–air interface "NOION" is also provided. GROMACS-compatible inputs are provided: simulation parameters (md.mdp), topologies (top), and index (ndx) files. Initial structure can be extracted from the tpr file using gmx editconf. The run input (tpr) is provided, as are the outputs: energy file (edr), trajectory (xtc), and final structure (gro). Surface tensions can be extracted by gmx energy. These values are reported in DOI: [ADD]. Data for these ECC ions with OPC water is provided at DOI: 10.5281/zenodo.3888369 and for the full charge ions by Dang et al. in SPCE water at DOI: 10.5281/zenodo.3888436.
DOI: 10.5281/zenodo.3888369
title: Simulations of the air-water interface at the presence of salt, ECC ions + OPC water model

description: Simulations of a water–air interface. There are ~20000 water molecules with various concentrations of NaCl or CaCl_2 in a simulation box of 12*12*22 nm^3. The 4-point OPC water and the ions with scaled charges based on the electronic continuum correction (ECC) are used. The numbering in file names corresponds to the different concentrations. GROMACS-compatible inputs are provided: simulation parameters (md.mdp), topologies (top), and index (ndx) files. Initial structure can be extracted from the tpr file using gmx editconf. The run input (tpr) is provided, as are the outputs: energy file (edr), trajectory (xtc), and final structure (gro). Surface tensions can be extracted by gmx energy. These values are reported in DOI: [ADD]. Data for these ECC ions with SPCE water is provided at DOI: 10.5281/zenodo.3888383 and for the full charge ions by Dang et al. in SPCE water at DOI: 10.5281/zenodo.3888436 .
DOI: 10.5281/zenodo.3888368
title: Simulations of the air-water interface at the presence of salt, ECC ions + OPC water model

description: Simulations of a water–air interface. There are ~20000 water molecules with various concentrations of NaCl or CaCl_2 in a simulation box of 12*12*22 nm^3. The 4-point OPC water and the ions with scaled charges based on the electronic continuum correction (ECC) are used. The numbering in file names corresponds to the different concentrations. GROMACS-compatible inputs are provided: simulation parameters (md.mdp), topologies (top), and index (ndx) files. Initial structure can be extracted from the tpr file using gmx editconf. The run input (tpr) is provided, as are the outputs: energy file (edr), trajectory (xtc), and final structure (gro). Surface tensions can be extracted by gmx energy. These values are reported in DOI: [ADD]. Data for these ECC ions with SPCE water is provided at DOI: 10.5281/zenodo.3888383 and for the full charge ions by Dang et al. in SPCE water at DOI: 10.5281/zenodo.3888436 .
DOI: 10.5281/zenodo.3898365
title: Extraordinary Hall balance in ultrathin SrRuO3 bilayers

description: Dataset corresponding to the publication J. Phys.: Mater. 3 (2020) 025005. Contains the raw data for the sample growth (RHEED) and transport measurements (Lock-in technique).
DOI: 10.5281/zenodo.3898364
title: Extraordinary Hall balance in ultrathin SrRuO3 bilayers

description: Dataset corresponding to the publication J. Phys.: Mater. 3 (2020) 025005. Contains the raw data for the sample growth (RHEED) and transport measurements (Lock-in technique).
DOI: 10.5281/zenodo.3894711
title: Unit test generation for common and uncommon behaviors: dataset

description: The data used for the 'Unit test generation for common and uncommon behaviors' Master's thesis. The folder structure used in the archives is the same as the one used by the linked evaluation tool. The archives contain the following: cubtg-eval-1.4.tar.gz: tests generated by EvoSuite stadard.log.tar.gz: EvoSuite log files created during test generation cubtg-eval-1.4-pit-1.6.tar.gz: result of running PIT on the generated tests
DOI: 10.5281/zenodo.3894710
title: Unit test generation for common and uncommon behaviors: dataset

description: The data used for the 'Unit test generation for common and uncommon behaviors' Master's thesis. The folder structure used in the archives is the same as the one used by the linked evaluation tool. The archives contain the following: cubtg-eval-1.4.tar.gz: tests generated by EvoSuite stadard.log.tar.gz: EvoSuite log files created during test generation cubtg-eval-1.4-pit-1.6.tar.gz: result of running PIT on the generated tests
DOI: 10.5255/ukda-sn-854380
title: Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe, model fit for Bayesian model 2020
DOI: 10.5281/zenodo.3898482
title: LEMON_DATA

description: This is the dataset of our upcoming ESEC/FSE 2020 paper: Deep Learning Library Testing via Effective Model Generation.
DOI: 10.17632/b3v966pp5f.1
title: PRF thermometry reconstruction used for pTx MRI

description: *MR data in .mat -prot.mat : Image header file -Heat_21-50_50repims_Ch2.mat : PRF heating experiment data (Processed to Image space) *MATLAB code PRF_reconsturction_code.m
DOI: 10.17632/yjfycrfp8b.1
title: SLJ force displacement curves

description: SLJ force displacement curves of different surface treatments
DOI: 10.17632/5mk6htx4cy.1
title: Hooded vulture and Pied crow abundance at slaughterhouses within Nsukka region

description: The data were collected by point count method across different slaughterhouses at Nsukka region. The time for the collection was either morning or evening. The subsequent two columns show the abundance of the Hooded vulture and Pied crow at the slaughterhouses listed by the first column.
DOI: 10.5281/zenodo.3898521
title: MetOcean drifters for NORSE2019 experiment

description: Trajectories for two triplets of MetOcean drifters (2 iSphere, 2 CODE, 2 SVP) deployed during the oil-on-water experiment conducted in the North Sea June 2019. The data and experiment is described in Brekke et al., Integration of multi-sensor datasets and oil drift simulations - a free floating oil experiment in open ocean, to be submitted to JGR Oceans June 2020.
description: The data format is the native CSV-format of MetOcean Ltd
description: {"references": ["Brekke et al., Integration of multi-sensor datasets and oil driftsimulations - a free floating oil experiment in open ocean, to be submitted to JGR Oceans June 2020."]}
DOI: 10.5281/zenodo.3898520
title: MetOcean drifters for NORSE2019 experiment

description: Trajectories for two triplets of MetOcean drifters (2 iSphere, 2 CODE, 2 SVP) deployed during the oil-on-water experiment conducted in the North Sea June 2019. The data and experiment is described in Brekke et al., Integration of multi-sensor datasets and oil drift simulations - a free floating oil experiment in open ocean, to be submitted to JGR Oceans June 2020.
description: The data format is the native CSV-format of MetOcean Ltd
description: {"references": ["Brekke et al., Integration of multi-sensor datasets and oil driftsimulations - a free floating oil experiment in open ocean, to be submitted to JGR Oceans June 2020."]}
DOI: 10.17632/zds2pk8ngp.1
title: Thermocline dynamics in the northwestern tropical Pacific over the past 700 kyr

description: The data include the stable oxygen isotope ratios and Mg/Ca of P. obliquiloculata from Core MD06-3047B, and the continental-ice-volume-corrected oxygen isotopic composition of thermocline water.