cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13322600
title: CRAVE Exploratory Factor Analysis w/ summed PW move and rest, and RN move and rest scores. CLEANED.(Study 1). PCM12/02/2020

description: CRAVE Exploratory Factor Analysis w/ summed PW move and rest, and RN move and rest scores. CLEANED.(Study 1).All erroneous values and 999's (previously coded for missing values) have been deleted, leaving the value blank.PCM12/02/2020 <br><br>Paul C. McKee
DOI: 10.6084/m9.figshare.13322642
title: CRAVE Confirmatory Factor Analysis w/ summed PW move and rest, and RN move and rest scores. CLEANED.(Study 2).PCM12/02/2020

description: CRAVE Confirmatory Factor Analysis w/ summed PW move and rest, and RN move and rest scores. CLEANED.(Study 2).All erroneous values and 999's (previously coded for missing values) have been deleted, leaving the value blank.PCM12/02/2020 <br><br>Paul C. McKee
DOI: 10.21227/5zkc-tm73
title: kW DC Solar

description: This dataset is in support of my research paper submitted to "IEEE Transactions on Energy Conversion".
DOI: 10.21227/bm5r-4d31
title: Non Linear Battery

description: This dataset is in support of my research paper submitted to "IEEE Transactions on Energy Conversion".In this dataset,
DOI: 10.5066/p9bwa7rd
title: Small mammal captures at the Picayune Strand State Forest, October 2014 - April 2016

description: We used Sherman live traps to capture and mark rodents in the Picayune Strand State Forest between October 2014 and April 2016 (IACUC permit USGS/SESC 2014-12). We selected areas to trap small mammals within the major vegetative types within Picayune Strand State Forest: cypress, pine, hardwood hammock, and wet prairie. We trapped in paired "restored" and "unrestored" areas of each habitat type. Drainage canals in PSSF have been recorded to reduce the water table up from 1.6 - 4.8 km away (Chuirazzi and Duever 2008). Areas considered "restored" were within 1.4 km of Prairie Canal , which was plugged in 2007. Areas considered "unrestored" were at least 8.5 km from the easterly Prairie Canal, in areas that are heavily drained by existing canals. Plugging Merritt canal which runs parallel to and is to the west of Prairie canal, was completed in 2015, between sampling years; however, Merritt is 5.4 km from the nearest unrestored trapping grid so hydrologic restoration to the region surrounding Merritt would not impact the unrestored trapping grids. Water levels (stage) are consistently higher in the restored areas.
DOI: 10.21227/tpny-kn65
title: kW DC Solar

description: This dataset is in support of my research paper submitted to "IEEE Transactions on Energy Conversion".
DOI: 10.21227/8c1t-0331
title: kW DC Solar

description: This dataset is in support of my research paper submitted to "IEEE Transactions on Energy Conversion".
DOI: 10.21227/tsh9-kb26
title: Non Linear Battery

description: This dataset is in support of my research paper submitted to "IEEE Transactions on Energy Conversion".In this dataset,
DOI: 10.21227/6734-ns50
title: kW DC Solar

description: This dataset is in support of my research paper submitted to "IEEE Transactions on Energy Conversion".
DOI: 10.21227/ewv9-ad37
title: Solar Collector

description: This dataset is in support of my research paper submitted to "IEEE Transactions on Energy Conversion".
DOI: 10.21227/38y6-vz69
title: kW DC Solar

description: This dataset is in support of my research paper submitted to "IEEE Transactions on Energy Conversion".
DOI: 10.21227/r3x1-tv82
title: Solar Collector

description: This dataset is in support of my research paper submitted to "IEEE Transactions on Energy Conversion".
DOI: 10.5281/zenodo.4302591
title: Data used in Gonzalez-Mirelis, et al (2020)

description: Environmental GIS layers (bathymetry, oceanography, geomorphology, and satellite-derived products), other base layers, and sponge abundance data, to reproduce the results reported in Gonzalez-Mirelis, G, Ross, R.E., Albretsen, J., Buhl-Mortensen, P. (2020) Modelling the distribution of habitat-forming, deep-sea sponges in the Barents Sea: the value of data. Frontiers in Marine Science.
DOI: 10.5281/zenodo.4302590
title: Data used in Gonzalez-Mirelis, et al (2020)

description: Environmental GIS layers (bathymetry, oceanography, geomorphology, and satellite-derived products), other base layers, and sponge abundance data, to reproduce the results reported in Gonzalez-Mirelis, G, Ross, R.E., Albretsen, J., Buhl-Mortensen, P. (2020) Modelling the distribution of habitat-forming, deep-sea sponges in the Barents Sea: the value of data. Frontiers in Marine Science.
DOI: 10.6084/m9.figshare.13125524
title: Output from the MarsWRF atmospheric model for the InSight landing site

description: Data from the MarsWRF atmospheric model used in Baker et al., (2020), "Evidence for vortex-dominated aeolian activity at InSight's landing site."<br>Includes two netCDF files, one with minute-by-minute predictions for the InSight landing site across a full "clear" Mars year (WRFgridA_InSight.nc) and another that includes the effects of a regional dust storm (WRFgridA_InSight_RDS.nc) but only covers the time period from landing to Ls 0. <br>Variables contained within both files:Sol = 'sol'Solar Longitude = 'ls'Tangential velocity = 'vtang'Threshold tangential velocity = 'vtangt'<br>Dust devil activity = 'dda'Wind direction = 'hmag'Atmospheric pressure = 'pres'Air temperature = 'tair'Friction speed = 'ust'<br>
DOI: 10.6084/m9.figshare.13125524.v1
title: Output from the MarsWRF atmospheric model for the InSight landing site

description: Data from the MarsWRF atmospheric model used in Baker et al., (2020), "Evidence for vortex-dominated aeolian activity at InSight's landing site."
DOI: 10.5281/zenodo.4302626
title: Final Presentation Transcription

description: Transcription of the final presentation.
DOI: 10.5281/zenodo.4302625
title: Final Presentation Transcription

description: Transcription of the final presentation.
DOI: 10.5066/p9psq8ip
title: Water bodies within 500 meters of poultry feeding operations on the Delmarva Peninsula in 2016 and 2017

description: Data release contains 1710 polygons representing small bodies of water within 500 meters of poultry feeding operations on the Delmarva Peninsula. Ponds were identified using the USDA's National Agriculture Imagery Program's 2016 and 2017 products. Poultry feeding operations were described in location by Soroka and Duren (2020).
DOI: 10.15131/shef.data.11876736
title: Hadfield Green Roof 5-year Dataset

description: Data collected as part of the EU funded 'Collaborative research and development of green roof system technology' project from the Sheffield, UK, green roof testbeds. Data includes 5 years of: - Rainfall data (1-minute resolution) - Green roof runoff data for 9 roof configurations (1-minute resolution) - Soil moisture content at 3 depths for 4 roof configurations (5-minute resolution) - Climate data sufficient to calculate FAO-56 Penman-Monteith (1-hour resolution) Due to difficulties in monitoring testbed runoff, there are occasions where runoff data is considered invalid. A separate data-file indicates individual storm events where runoff data is considered to be valid. The data has been used to produce the following publications: - C Berretta, S Poë, V Stovin, 2014. 'Moisture content behaviour in extensive green roofs during dry periods: The influence of vegetation and substrate characteristics.' Journal of Hydrology 511, 374-386. - V Stovin, S Poë, S De-Ville, and C Berretta, 2015. ‘The influence of substrate and vegetation configuration on green roof hydrological performance.’ Ecological Engineering, Vol. 85, 159-172. - S De-Ville, M Menon, V Stovin, 2018. ‘Temporal variations in the potential hydrological performance of extensive green roof systems.’ Journal of Hydrology 558, 564-578.
DOI: 10.5281/zenodo.4302598
title: Data Supporting: "Economic Damages from Hurricane Sandy Attributable to Sea Level Rise Caused by Anthropogenic Climate Change"

description: Code supporting Strauss et al. (2020) submitted to Nature Communications. If you use any original data from this archive, please cite the study as: <pre><code>B. H. Strauss, P. Orton, K. Bittermann, M. K. Buchanan, D. M. Gilford, R. E. Kopp, S. Kulp, C. Massey, H. de Moel, S. Vinogradov, 2020: Economic Damages from Hurricane Sandy Attributable to Sea Level Rise Caused by Anthropogenic Climate Change. Nature Communications. (under review, Dec. 2020)</code></pre> If you have any questions or comments, please contact Daniel Gilford at dgilford@climatecentral.org Included are Input, Output, and Source files (compressed) used in the publication; data files are primarily in <strong>txt</strong>, <strong>csv</strong>, <strong>xlsx</strong>, and <strong>mat</strong> formats. In the absence of a MATLAB license, <strong>mat</strong> files may be read with open access software such as SciPy. Code supporting this publication may be found at https://github.com/climatecentral/cc_sandy_matlab. <em>Archived Data Short Descriptions:</em> <strong>INPUT</strong> -- Input semi-empirical model, hydrodynamic, and observational data files used to create distributions/analyses in this study. <strong>8518750_meantrend.csv</strong>: The Battery, NY monthly mean sea levels and trends/uncertainty, accessed from https://tidesandcurrents.noaa.gov/sltrends/sltrends_station.shtml?id=8518750 on 29 July 2020. <strong>cmip5.zip</strong>: CMIP5 semi-empirical model analyses for each individual model and scenarios (historical and counterfactual), and index files for reference. <strong>hadcrut.zip</strong>: HadCRUT4 semi-empirical model analyses for each individual HadCRUT4 scenario (historical and counterfactuals) <strong>Dangendorf2019_GMSL.txt</strong>: Monthly mean global mean sea level rise from Dangendorf et al. (2019). Also included are datum information, block damages, hydrodynamic simulations, and additional auxiliary files required to run the accompanying repository analyses. <strong>OUTPUT</strong> -- Code outputs supporting this publication <strong>fig1_data.mat</strong>: Quick access source data file which may be used to recreate Fig. 1 in the manuscript <strong>SEanalysis.mat</strong>: The full output semi-empirical model analyses in this study <strong>summary_samps.mat</strong>: Summary/ensemble analyses in this study <strong>SOURCE</strong> -- Individual source data files for each Figure (1, 2, 3a-b), Table (1-2), Supplementary Figure (S1-4), and Supplementary Table (S1-6) in this study. Included is a <strong>readme.txt</strong> with full descriptions of source data files.
description: {"references": ["Dangendorf, S., Hay, C., Calafat, F.M. et al. Persistent acceleration in global sea-level rise since the 1960s. Nat. Clim. Chang. 9, 705\u2013710 (2019). https://doi.org/10.1038/s41558-019-0531-8", "Kopp, Robert. (2013). Does the mid-Atlantic United States sea level acceleration hot spot reflect ocean dynamic variability?. Geophysical Research Letters. 40. 10.1002/grl.50781"]}
DOI: 10.6084/m9.figshare.3761562.v1697
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.21227/wnqg-eg56
title: Discriminative Concept Learning Network: Sample Source Code and Supplement (Project Archive)

description: Summary: The archive of DCLN project (https://sourceforge.net/projects/dcln/) is provided.Code & Script: Written in C/C++, running Shell scripts on Linux system. Mature package release v2.0 available for download. Check './dcln.sh' for usage info.Document: Details of hyperparameters tuning, data preprocessing and code compiling are given.Data: Four nonlinear simulation datasets are provided (Fig. 2 of the main paper). Each study has ~2000 training samples and ~2000 test samples.
DOI: 10.21227/8zqt-mr58
title: Discriminative Concept Learning Network: Sample Source Code and Supplement (Project Archive)

description: Summary: The archive of DCLN project (https://sourceforge.net/projects/dcln/) is provided.Code & Script: Written in C/C++, running Shell scripts on Linux system. Mature package release v2.0 available for download. Check './dcln.sh' for usage info.Document: Details of hyperparameters tuning, data preprocessing and code compiling are given.Data: Four nonlinear simulation datasets are provided (Fig. 2 of the main paper). Each study has ~2000 training samples and ~2000 test samples.
DOI: 10.21227/v1yb-gy06
title: B 14 series Paper :Mathematical Insight on

description: under cons pvtpageThis dataset is in support of 14 research papers " Mathematical Insight o : " submitted to "IEEE Transactions on Circuits and Systems I: Regular Papers".
DOI: 10.5281/zenodo.4302713
title: Software Engineering Meets Deep Learning: A Mapping Study

description: Dataset used in the paper "Software Engineering Meets Deep Learning: A Mapping Study"
DOI: 10.5281/zenodo.4302712
title: Software Engineering Meets Deep Learning: A Mapping Study

description: Dataset used in the paper "Software Engineering Meets Deep Learning: A Mapping Study"
DOI: 10.21227/j4gg-dn05
title: 2 c Mathematical Insight on P

description: This dataset is in support of my 2 research papers submitted to "IEEE Transactions on Circuits and Systems I: Regular Papers".Though all the mathematical reasoning with is in the paper, this dataset contains the to support it with simulation also. Many softwares are used , Software name along with source((university website and github) and the reuslts obtained from them are mentioned inThe particular scripts fom these are also attached ,Fully modified not submitted
DOI: 10.21227/k9f3-hp34
title: A 14 series Paper :Mathematical Insight on d

description: This dataset is in support of 14 research papers " Mathematical Insight B : " submitted to "IEEE Transactions on Circuits and Systems I: Regular Papers". The data in tables, is given in the paper itself, Here , the This dataset is particulalry related to Papers-Part 2, 4,6, 8, 10 , as computer simulation is . The results of Part2- clearly shows the difference inthe results as compared and supposed tobe obtained from "Part-1" .Similalry 'Part-4' results'Part-6' results'Part-8' results'Part-10' results
DOI: 10.21227/fxc8-t984
title: 2 c Mathematical Insight on op

description: This dataset is in support of my 2 research papers submitted to "IEEE Transactions on Circuits and Systems I: Regular Papers".Though all the mathematical reasoning with is in the paper, this dataset contains the to support it with simulation also. Many softwares are used , Software name along with source((university website and github) and the reuslts obtained from them are mentioned inThe particular scripts fom these are also attached ,Fully modified not submitted
DOI: 10.21227/6kxw-pg94
title: wind turbine 2

description: Pvt page under construction pls visit later in Jan/Feb 2021 This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on on Energy Conversion".In the submitted dataset and paper " N Wind Turbine ",the comparison on 2 models was drawn, The author in 3 more papers has extended that to but the model chosenIn this dataset and the Researchppers Part 1, 2, 3 submitted to Journal, a
DOI: 10.21227/83t9-k251
title: Discriminative Concept Learning Network: Sample Source Code and Supplement (Project Archive)

description: Summary: The archive of DCLN project (https://sourceforge.net/projects/dcln/) is provided.Code & Script: Written in C/C++, running Shell scripts on Linux system. Mature package release v2.0 available for download. Check './dcln.sh' for usage info.Document: Details of hyperparameters tuning, data preprocessing and code compiling are given.Data: Four nonlinear simulation datasets are provided (Fig. 2 of the main paper). Each study has ~2000 training samples and ~2000 test samples.
DOI: 10.21227/ysgm-0j17
title: 2 c Mathematical Insight on op

description: Pvt page under construction This dataset is in support of my 2 research papers submitted to "IEEE Transactions on Circuits and Systems I: Regular Papers".Though all the mathematical reasoning with is in the paper, this dataset contains the to support it with simulation also. For this, software tools from professors/lecturers given on their website is also used , Many softwares are used , Software name along with source((university website and github) and the reuslts obtained from them are mentioned inThe particular scripts fom these are also attached ,Fully modified not submitted
DOI: 10.21227/hxxq-6c10
title: A 14 series Paper :Mathematical Insight on d

description: Pvt page under construction This dataset is in support of 14 research papers " Mathematical Insight B : " submitted to "IEEE Transactions on Circuits and Systems I: Regular Papers". The data in tables, is given in the paper itself, Here , the This dataset is particulalry related to Papers-Part 2, 4,6, 8, 10 , as computer simulation is . The results of Part2- clearly shows the difference inthe results as compared and supposed tobe obtained from "Part-1" .Similalry 'Part-4' results'Part-6' results'Part-8' results'Part-10' results
DOI: 10.21227/6tqk-rd46
title: B 14 series Paper :Mathematical Insight on

description: Pvt page under construction This dataset is in support of 14 research papers " Mathematical Insight o : " submitted to "IEEE Transactions on Circuits and Systems I: Regular Papers".
DOI: 10.21227/6fx1-hw37
title: Mathematical Insight on A

description: Pvt page under construction This dataset is in support of research paper " Mathematical Insight on the " submitted to "IEEE Transactions on Circuits and Systems I: Regular Papers".Mathematical InsightIt is known since 500 years that .The author has submitted mathemacitcal reasoning in the paper,which dfor does show that such is true Here this using javascripts
DOI: 10.21227/zy59-xh86
title: ElectroMagnetic Field

description: Pvt page under construction Laplace Equation in gives the.. Maxwell's equations,For this, software tools from professors/lecturers given on their website is also used ,
DOI: 10.5517/ccdc.csd.cc26n0xt
title: CCDC 2045036: Experimental Crystal Structure Determination

description: Related Article: Xiao-Yang Chen, Dengke Shen, Kang Cai, Yang Jiao, Huang Wu, Bo Song, Long Zhang, Yu Tan, Yu Wang, Yuanning Feng, Charlotte L. Stern, J. Fraser Stoddart|2020|J.Am.Chem.Soc.|142|20152|doi:10.1021/jacs.0c09896
DOI: 10.5517/ccdc.csd.cc26n0yv
title: CCDC 2045037: Experimental Crystal Structure Determination

description: Related Article: Xiao-Yang Chen, Dengke Shen, Kang Cai, Yang Jiao, Huang Wu, Bo Song, Long Zhang, Yu Tan, Yu Wang, Yuanning Feng, Charlotte L. Stern, J. Fraser Stoddart|2020|J.Am.Chem.Soc.|142|20152|doi:10.1021/jacs.0c09896
DOI: 10.5517/ccdc.csd.cc26n0zw
title: CCDC 2045038: Experimental Crystal Structure Determination

description: Related Article: Xiao-Yang Chen, Dengke Shen, Kang Cai, Yang Jiao, Huang Wu, Bo Song, Long Zhang, Yu Tan, Yu Wang, Yuanning Feng, Charlotte L. Stern, J. Fraser Stoddart|2020|J.Am.Chem.Soc.|142|20152|doi:10.1021/jacs.0c09896
DOI: 10.18112/openneuro.ds003407.v1.0.0
title: MASiVar: Multisite, Multiscanner, and Multisubject Acquisitions for Studying Variability in Diffusion Weighted Magnetic Resonance Imaging 1
DOI: 10.25345/c53z2v
title: MassIVE MSV000086546 - Ma et al. 2020 Multiplexed, activity based proteome-wide functional residue profiling
title: Raw mass spectrometric data files associated with manuscript by Ma et al.
DOI: 10.6084/m9.figshare.13317242.v1
title: UHPLC-MS/MS Based Metabolomics and Clinical Phenotypes Analysis Reveals Broad-Scale Perturbations in Early Pregnancy Related to Gestational Diabetes Mellitus

description: Metabolomics data generated by UHPLC-MS/MS
DOI: 10.5281/zenodo.4302552
title: Worldwide Fraxinus Genome Assemblies, Annotations, and Gene Families v0.2

description: The worldwide <em>Fraxinus</em> genome project was conducted to assess the pathogenic resistance of 34 Ash tree species to Ash Dieback and Emerald Ash Borer. The project is led by Dr. Richard Buggs. v0.1 genomes are available at ashgenome.org and on ENA. As part of Josiah Seaman's PhD thesis, he improved the assembly of 13 genomes included here as v0.2. New de novo annotations, gene families, and all associated files are included for future studies and reproducibility. Annotations are done with GeMoMa using F. excelsior as a reference (Keilwagen et al. 2016). Gene families are defined as genes originating from a single copy at the last common ancestor with Solanum. Orthofinder outputs reconciled gene trees, aligned CDS, and gene families (Emms and Kelly 2015; Tekaia 2016). Species tree was calibrated based on fossil evidence using r8s, RAxML across 25,182,399 sites (SpeciesTreeAlignment.fa). More methods details can be found in the full Chapter two of Josiah Seaman's PhD thesis (2021). I'd be happy to talk with you if you'd like any additional information or help visualizing your genomic data. You can find the tools used to browse this data at https://fluentdna.com/ and http://graphgenome.org/ Contact me at josiah@newline.us
DOI: 10.3886/e127841v1
title: test_test

description: A test dataset
DOI: 10.3886/e127841
title: test_test

description: A test dataset
DOI: 10.3886/e127841v2
title: test_test

description: A test dataset
DOI: 10.3886/e115922v1-71360
title: Data and Code for: Information Transmission under the Shadow of the Future

description: We experimentally examine how information transmission functions in an ongoing relationship. Where the one-shot cheap-talk literature documents substantial over-communication and preferences for honesty, in our repeated setting the outcomes are more consistent with uninformative babbling outcomes. This is particularly surprising as honest revelation is supportable as an equilibrium outcome in our repeated setting. We show that inefficient outcomes are driven by a coordination failure on how to distribute the gains from information sharing. However, when agents can coordinate on the payment of an “information rent,” honest revelation emerges.<br><br>This repository contains code, data, and experimental software. The experimental data was collected at the University of Pittsburgh, where all subjects provided informed consent to participate, and the research was approved by the University of Pittsburgh Institutional Review Board (PRO15080059)
description: Unweighted.
description: Response Rates: 100 percent.
description: Recruitment to session from the undergraduate population of the University of Pittsburgh, with random assignment of treatment at the session level (between-subject design). Each session recruited 46 subjects (two sessions of 16, one session of 14) with the exception of the Chat treatment which recruited three sessions of 16 by a design requirement.
DOI: 10.3886/e120535v1-71400
title: Data and Code for: Measuring the Macroeconomic Impact of Carbon Taxes

description: Policy makers often express concern about the impact of carbon taxes on employment or GDP. Using a new data set on carbon tax rates, we estimate the macroeconomic impacts of these taxes on GDP and employment growth rates for various specifications and samples. Our point estimates suggest a zero to modest positive impact on GDP and total employment growth rates. More importantly, we find no robust evidence of a negative effect of the tax on employment or GDP growth. For the European experience, at least, we find no support for the view that carbon taxes are job or growth killers.<br><br>