cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18716/nmrshiftdb2/2551
title: NMR data for Phebaclavin H
DOI: 10.18716/nmrshiftdb2/2574
title: NMR data for 4,10-Dihydroxy-1(H),5(H)-guai-11(13)-en-8,12-olide
DOI: 10.18716/nmrshiftdb2/2555
title: NMR data for Xeniolide-F
DOI: 10.18716/nmrshiftdb2/2578
title: NMR data for Kaempferol-3-O-[-D-xylopyranosyl(1-3)--L-rhamnopyranosyl(1-6)]--D-galactopyranoside
DOI: 10.18716/nmrshiftdb2/2553
title: NMR data for Mangostenone A
DOI: 10.18716/nmrshiftdb2/2569
title: NMR data for aromadendra-1,9-diene
DOI: 10.18716/nmrshiftdb2/2550
title: NMR data for Malyngamide S
DOI: 10.5519/qd.ny7ts3zg
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (994 records)
DOI: 10.18716/nmrshiftdb2/2552
title: NMR data for Oviedomycin
DOI: 10.18716/nmrshiftdb2/2554
title: NMR data for 2,4,5-Trimethoxyallylbenzene; -Asarone
DOI: 10.18716/nmrshiftdb2/2556
title: NMR data for 15,16-Epoxy-1,3,13(16),14-clerodatetraen-20,12-olide-18,19-dioic acid dimethylester; Crotozambefuran A
DOI: 10.3886/e115302
title: American MTurk responses to hope, fear, efficacy and control climate change videos (July 2018)

description: This dataset contains responses to an MTurk survey exploring American attitudes toward climate change. Participants were randomly assigned 1 of 4 videos (hope, fear, efficacy and control) and their emotional responses, climate change risk perceptions, behavioral intentions and activism intentions were recorded. The dataset also includes participant categorization into the Six Americas of Global Warming framework.
DOI: 10.3886/e115302v1
title: American MTurk responses to hope, fear, efficacy and control climate change videos (July 2018)

description: This dataset contains responses to an MTurk survey exploring American attitudes toward climate change. Participants were randomly assigned 1 of 4 videos (hope, fear, efficacy and control) and their emotional responses, climate change risk perceptions, behavioral intentions and activism intentions were recorded. The dataset also includes participant categorization into the Six Americas of Global Warming framework.
DOI: 10.18716/nmrshiftdb2/2583
title: NMR data for 2,3,6-tribromo-1-methyl-indole
DOI: 10.17037/data.00001150
title: Dataset for: Prevalence of impaired renal function in Malawi

description: Cross-sectional survey of impaired renal function among adults nested within a large cross-sectional survey of non-communicable diseases. Each row refers to one participant, containing variables on their answers to a questionnaire, anthropometric measures, and laboratory results.
DOI: 10.21227/k3d1-9p59
title: Online Offline Learning for Sound-based Indoor Localization Using Low-cost Hardware Data

description: 7200 .csv files, each containing a 10 kHz recording of a 1 ms lasting 100 hz sound Matlab Implementation of the described Online Offline Learning Architecture (OOLA) and Visualizations/Plots of Simulations (https://ieeexplore.ieee.org/document/8869796).The files includeData Generation SourcecodesMicrocontroller sourcecode (path:DataGeneration/controller.ino)Node-RED flow (path:DataGeneration/node_RED_flow.txt)Python file manipulation (path:DataGeneration/Python/prepare_data_format.py)Sound file generator (path:DataGeneration/soundGenerator.m)Raw dataOffline data (path:Matlab/load and preprocess offline data/data)Online data (path:Matlab/online data load and preprocess/data)Preprocessed dataOffline data (path:Matlab/load and preprocess offline data/Data3600.mat)Online data (path:Matlab/online data load and preprocess/DataOnline3600.mat)The Online Offline Learning Architecture (OOLA)Configurable (path:Matlab/OOL/InitOOL.m)With basic 1NN & K-Means implementations (path:Matlab/OOL/)Plots and visualisations of simulationsBasic LVQ simulator (path:Plots/LVQ Simulator/LVQSimulatorV003.m)K-Means/LVQ comparison simulator (path:Plots/LVQ Simulator/kmeanslvqprototypes.m)Overall results bar charts (path:Plots/ool results plot 1/plotergebnisse.m)StatisticsK-Means prototypes classification rates (path:Matlab/lvq and kmeans test/kMeansPrototypes)LVQ prototypes classification rates (path:Matlab/lvq and kmeans test/LVQPrototypes)OOLA classification rates depending on configurations (path:Results/OOL/)OOLA processing data for classification (path:Results/OOL/)
DOI: 10.21227/snga-6d51
title: Online Offline Learning for Sound-based Indoor Localization Using Low-cost Hardware Data

description: 7200 .csv files, each containing a 10 kHz recording of a 1ms lasting 100 hz sound Matlab Implementation of the described Online Offline Learning Architecture (OOLA) and Visualizations/Plots of Simulations (https://ieeexplore.ieee.org/document/8869796).The files includeData Generation SourcecodesMicrocontroller sourcecode (path:DataGeneration/controller.ino)Node-RED flow (path:DataGeneration/node_RED_flow.txt)Python file manipulation (path:DataGeneration/Python/prepare_data_format.py)Sound file generator (path:DataGeneration/soundGenerator.m)Raw dataOffline data (path:Matlab/load and preprocess offline data/data)Online data (path:Matlab/online data load and preprocess/data)Preprocessed dataOffline data (path:Matlab/load and preprocess offline data/Data3600.mat)Online data (path:Matlab/online data load and preprocess/DataOnline3600.mat)The Online Offline Learning Architecture (OOLA)Configurable (path:Matlab/OOL/InitOOL.m)With basic 1NN & K-Means implementations (path:Matlab/OOL/)Plots and visualisations of simulationsBasic LVQ simulator (path:Plots/LVQ Simulator/LVQSimulatorV003.m)K-Means/LVQ comparison simulator (path:Plots/LVQ Simulator/kmeanslvqprototypes.m)Overall results bar charts (path:Plots/ool results plot 1/plotergebnisse.m)StatisticsK-Means prototypes classification rates (path:Matlab/lvq and kmeans test/kMeansPrototypes)LVQ prototypes classification rates (path:Matlab/lvq and kmeans test/LVQPrototypes)OOLA classification rates depending on configurations (path:Results/OOL/)OOLA processing data for classification (path:Results/OOL/)
DOI: 10.5281/zenodo.3527671
title: Empirical measurements of function placements and executions in a mixed cloud-edge cluster

description: Empirical measurements used for the Skippy Scheduler, an optimized container scheduler for serverless edge computing in Kubernetes.
DOI: 10.5281/zenodo.3527672
title: Empirical measurements of function placements and executions in a mixed cloud-edge cluster

description: Empirical measurements used for the Skippy Scheduler, an optimized container scheduler for serverless edge computing in Kubernetes.
DOI: 10.18716/nmrshiftdb2/2563
title: NMR data for Plocamenol C
DOI: 10.18716/nmrshiftdb2/2580
title: NMR data for Isobatzelline E
DOI: 10.18716/nmrshiftdb2/2558
title: NMR data for Tournefolal
DOI: 10.7910/dvn/qdxlwr/iywio8
title: syntheticmedicare10k.tar.gz

description: :unav
DOI: 10.17632/bpczvpr5np.1
title: Data for: A methodology for building a data-enclosing tunnel for automated online-feedback in simulator training

description: The data was generated randomly, based on different combinations of possible actions in the dynamic simulator K-Spice from Kongsberg Digital. In case study 1, the aim was to increase +10 % of the oil production with respect to the initial condition value. In case study 2, the aim was to decrease -10 % of the gas production with respect to the initial condition value. The data show examples of possible correct and incorrect paths that a trainee could follow trying to solve the scenarios.
DOI: 10.17632/wkj5cg3btm.2
title: Circular Economy Technologies Dictionary-Norwegian Language

description: Term frequency and underlying concepts, generated with the software Leximancer. The word file is the norwegian translation of the tokens
DOI: 10.5281/zenodo.3528098
title: CWATM v1.04 - 0.5 deg dataset

description: CWATM dataset for version 1.04<br> ------------------------------ <br> CWATM_Data<br> ¦<br> ¦- README.txt<br> ¦<br> +- climate_rhine ( a cut rhine cliamte data set, description see below)<br> ¦ ¦<br> ¦ +- precipitation, average daily temperature, potential evaporation <br> ¦<br> +- output<br> ¦<br> +- input_data<br> ¦<br> +---areamaps<br> ¦ ¦- globalarea,rhine30min, ...<br> ¦<br> +---landcover<br> ¦ +---forest<br> ¦ ¦ ¦- CropCoefficientForest_10days<br> ¦ ¦ ¦- interceptcapForest10days<br> ¦ ¦ ¦- maxRootdepth, minSoilDepthFrac<br> ¦ ¦ ¦- rootFraction1, rootFraction2<br> ¦ ¦<br> ¦ +---grassland (same var as forest)<br> ¦ ¦<br> ¦ +---irrNonPaddy (same var as forest)<br> ¦ ¦<br> ¦ +---irrPaddy (same var as forest)<br> ¦<br> +---landsurface <br> ¦ ¦- fractionlandcover, global_clone<br> ¦ ¦<br> ¦ +---albedo<br> ¦ ¦ ¦- albedo<br> ¦ ¦<br> ¦ +---topo<br> ¦ ¦ ¦- dz_Rel_hydro1k, elvstd, tanslope<br> ¦<br> +---groundwater <br> ¦ ¦- kSatAquifer, recessionCoeff, specificYield<br> ¦<br> +---soil <br> ¦ ¦- alpha1-3, lambda1-3, ksat1-3,thetas1-3, thetar1-3 for forest and for other landcover<br> ¦ ¦- cropgrp, percolationImp, storagedepth<br> ¦<br> +---routing <br> ¦- ldd, catchment, cellarea<br> ¦<br> +---kinematic<br> ¦ ¦- chanbnkf, chanbw, changrad, chanleng, chanman<br> ¦<br> +---lakereservoirs<br> ¦- lakeResArea, lakeResDis,lakeResID, lakeResType, lakeResVolRes, lakeResYear<br> ¦- smalllakeResArea, smalllakeResDis,smalllakeResID, smalllakeResType, smalllakeResVolRes, smalllakeResYear<br> PLEASE RUN:<br> run_rhine30min.bat or run_rhine30min.sh (for Linux)<br> if necessary you have to change pathes in run_rhine30min.bat or run_rhine30min.sh or settings_rhine30min.ini (line 87-91)<br> <br> CLIMATE DATA SET<br> Daily-resolution observed climate data on (land only) 0.5°x0.5° lat-lon grid,<br> HERE: Only for the Rhine catchment based on the reanalysis data set ERA-Interim and using the bias target GPCC.<br> The data set covers the period 1901-2012, where the data for 1901-1978 are taken from WFD, and from 1979 onwards from WFDEI.GPCC <br> Data Type: Daily observed atmospheric climate<br> Variables:<br> tavg: Avg. Temperature [K]<br> pr: precipitation (snowfall + rain) [kg m-2 s-1]<br> ET_Ref: Potential reference evapotranspiration rate (Penman–Monteith equations)<br> EW_ref: Potential evaporation rate from water surface ( Penman–Monteith equations) <br> HERE: a dataset from 1/1/1961- 31/12/2010 with each parameter in a single netcdf file. Weedon, G.P., S.S. Gomes, P.P. Viterbo, W.J. Shuttleworth, E.E. Blyth, H.H. Österle, J.C. Adam, N.N. Bellouin, O.O. Boucher,<br> and M.M. Best, 2011:<br> Creation of the WATCH Forcing Data and Its Use to Assess Global and Regional Reference Crop Evaporation over Land during the<br> Twentieth Century. J. Hydrometeor., 12, 823–848, doi: 10.1175/2011JHM1369.1 Related Sites:<br> https://www.isimip.org/gettingstarted/details/5/<br> http://www.waterandclimatechange.eu/about/watch-forcing-data-20th-century But any other climate data can be used!
DOI: 10.17632/rpxd62ygyg.2
title: Sustainability education and entrepreneurship education in higher education (WoS 2000-2017)

description: This dataset is described in the methods section of Hermann and Bossle (In Press), "Bringing an Entrepreneurial Focus to Sustainability Education: A Teaching Framework Based on Content Analysis", Journal of Cleaner Production (Section 3.1). https://doi.org/10.1016/j.jclepro.2019.119038
DOI: 10.17632/jhwz4gzcsb.1
title: Motor sequence learning data collected continuously for fifteen days of practice using a novel glove-based typing device

description: The dataset is organized into folders and subfolders for easy accessibility and reusability by fellow researchers in the field. The hierarchy of the folders is as follows; root folder signifies the participant ID followed by subfolders indicating different practice sessions (Day 1 to Day 15). The practice session subfolder consists of twelve text files for each of the twelve blocks performed by the participants in a given practice session. The block files were named in the following nomenclature “data_block_(block number).txt”. These text files consist of three columns, and they are as follows column 1-letter (key) pressed/released, column 2- timestamp of pressed/released keys, and column 3- timeline in seconds. Column- 1 registers the pressed key and its corresponding release activity indicated as “LCONTROL”. Column- 2 accounts for the corresponding timestamp of key press and release activities. Column - 3 indicates the key press and release information in terms of seconds. This third column was calculated by subtracting the key press and release timestamp information of all the letters typed in a given block with respect to the first key pressed. Hence, the third column of the first key pressed in any block was considered as the zeroth instance indicated as zero in these files.
DOI: 10.17632/jhwz4gzcsb.2
title: Motor sequence learning data collected continuously for fifteen days of practice using a novel glove-based typing device

description: The dataset is organized into folders and subfolders for easy accessibility and reusability by fellow researchers in the field. The hierarchy of the folders is as follows; root folder signifies the participant ID followed by subfolders indicating different practice sessions (Day 1 to Day 15). The practice session subfolder consists of twelve text files for each of the twelve blocks performed by the participants in a given practice session. The block files were named in the following nomenclature “data_block_(block number).txt”. These text files consist of three columns, and they are as follows column 1-letter (key) pressed/released, column 2- timestamp of pressed/released keys, and column 3- timeline in seconds. Column- 1 registers the pressed key and its corresponding release activity indicated as “LCONTROL”. Column- 2 accounts for the corresponding timestamp of key press and release activities. Column - 3 indicates the key press and release information in terms of seconds. This third column was calculated by subtracting the key press and release timestamp information of all the letters typed in a given block with respect to the first key pressed. Hence, the third column of the first key pressed in any block was considered as the zeroth instance indicated as zero in these files.
DOI: 10.17632/rxxyptd23g.1
title: Data for: Technical efficiency in Chile’s higher education system: A comparison of Rankings and Accreditation
DOI: 10.18716/nmrshiftdb2/2561
title: NMR data for 2-Hydroxytirotundin
DOI: 10.17632/3tmwgj3g3p.1
title: Orientation to happiness in university students from Mexico

description: Orientation to happiness is a construct composed of 3 types of happiness: pleasure, meaning, and engagement. This dataset presents the answers from 628 university students in two cities from Sonora, a northeastern state in Mexico. With this data, comparisons by gender, semester, and age can be performed.
DOI: 10.17632/kv6jwrytgn.2
title: Data for: A mechanism design approach to a buyer's optimal auditing policy to induce responsible sourcing in a supply chain

description: This supplementary material provides the proof of propositions, theorems, and some extra figures, presented in the article mentioned below: "A mechanism design approach to a buyer's optimal auditing policy to induce responsible sourcing in a supply chain", accepted for publication in the "Journal of Environmental Management". DOI for the paper: https://doi.org/10.1016/j.jenvman.2019.109721
DOI: 10.15468/oue7mw
title: Die Odonaten- und Nenropteren-Fauna Syriens und Klein-Asiens

description: This dataset contains the digitized treatments in Plazi based on the original journal article Hagen, H. (1863): Die Odonaten- und Nenropteren-Fauna Syriens und Klein-Asiens. Wiener Entomologische Monatschrift 7: 193-199, DOI: http://doi.org/10.5281/zenodo.3528093
DOI: 10.17632/9292c75797.2
title: Proteomic analyses to determine the impact of anti-FASII on Staphylococcus aureus protein expression in low stress conditions.

description: The associated study shows that Staphylococcus aureus can adapt to fatty acid synthesis inhibitors by incorporating exogenous fatty acids in their phospholipids. Our results show that bacteria adapt in low stress medium more readily than in high stress medium. We compared two environments, i- high membrane stress and ii- low membrane stress, and followed responses of strain USA300-FPR3757 spa to the biocide triclosan. High membrane stress medium contains free fatty acids. Low membrane stress medium is supplemented with serum. Strains are grown in BHI medium ("BHI"), BHI containing 3 fatty acids C14, C16, and C18:1 ("FA"), FA medium with the biocide triclosan ("FA-Tric"), FA medium supplemented with serum ("SerFA"), and SerFA supplemented with triclosan (SerFA-Tric). BHI, FA, and SFA cultures are harvested at OD600=1. FA-Tric and SerFA-Tric cultures are harvested at 2 hours and 4 hours. The data show protein reads corresponding to each growth condition.
DOI: 10.17632/mvfvpmnxgs.1
title: Tree xylem isotope analysis by mass and laser spectrometry

description: The use of xylem isotopes is an increasingly commonly used approach in eco-hydrological studies. Carrière et al. [2019] used this dataset to better understand where trees uptakes water under drought condition on a Mediterranean karstic system. Despite this technique is widely used, analytical issues still discussed within user community. We have conducted a number of tests which are relevant to be shared to animate the debate. We show that mass and laser spectrometer analyzes give very similar results for 46 xylem water and 9 drainage water samples. The full dataset (219 samples) shows that the xylem water undergo a deuterium fractionation which make the deuterium data unusable in the current state.
DOI: 10.17632/mvfvpmnxgs.2
title: Tree xylem isotope analysis by mass and laser spectrometry

description: The use of xylem isotopes is an increasingly commonly used approach in eco-hydrological studies. Carrière et al. [2019] used this dataset to better understand where trees uptakes water under drought condition on a Mediterranean karstic system. Despite this technique is widely used, analytical issues still discussed within user community. We have conducted a number of tests which are relevant to be shared to animate the debate. We show that mass and laser spectrometer analyzes give very similar results for 46 xylem water and 9 drainage water samples. The full dataset (219 samples) shows that the xylem water undergo a deuterium fractionation which make the deuterium data unusable in the current state.
DOI: 10.5255/ukda-sn-853630
title: Organisations, staff support and the dynamics and quality of social work practice: a qualitative longitudinal study of child protection work 2017-2018
DOI: 10.17632/34d276x3h5.1
title: Violence and burnout in health care emergency workers database

description: This is the Dataset of the study published with the title: “Violence and burnout in health care emergency workers in Santiago, Chile: A survey-based cross-sectional study” in International Emergency Nursing. https://doi.org/10.1016/j.ienj.2019.100792 This study aims to explore the incidence of violence and burnout in emergency services of the Metropolitan Region of Chile, and associations with workers´ characteristics and workplace conditions. Violence-burnout association is also explored. The dataset contains two pages: 1) Data codified with 56 fields and 566 lines (one line for headings), 2) Code meaning with four columns and 332 lines.
DOI: 10.17632/yft32v32vw.1
title: SUPPLEMENTARY MATERIAL JHE MANUSCRIPT HUMEV_2019_251

description: This is the supplementary material for the JHE manuscript HUMEV_2019_251. Six thorax predictions based on 3 predictive models: Model A: K2RA_ModelA and K2SM_ModelA Model B: K2RA_ModelB and K2SM_ModelB Model C: K2RA_ModelB and K2SM_ModelB The thorax predictions are scaled to Unit Centroid Size Matrix of Procrustes distances between all the specimens.
DOI: 10.15152/qdb.210
title: QDB archive #210

description: This QDB archive contains data and model(s) from the following publication: Käärik, M.; Arulepp, M.; Käärik, M.; Maran, U.; Leis, J. Characterization and prediction of double-layer capacitance of nanoporous carbon materials using the Quantitative nano-Structure-Property Relationship approach based on experimentally determined porosity descriptors. Carbon 2019.
DOI: 10.17632/7pchfbs6c7.1
title: Bothrops atrox data set

description: data bank with snake parameter to teach the uses bassically of exercises of epidemiology.
DOI: 10.17632/dd32trk8jh.1
title: Raw datas for "Effect of hydrophilic-hydrophobic ratio in self-emulsifying amphiphilic epoxy sizing agent on interfacial properties of carbon fibre/epoxy composites"

description: raw datas for the paper "Effect of hydrophilic-hydrophobic ratio in self-emulsifying amphiphilic epoxy sizing agent on interfacial properties of carbon fibre/epoxy composites"
DOI: 10.17632/fz7d3h92b4.1
title: Datasets related to the paper: A comparative node assessment model for highly HeterogeneousIoT-Mist networks

description: Datasets related to the paper entitled "A comparative node assessment model for highly Heterogeneous IoT-Mist networks"
DOI: 10.17632/zcd339nsyd.1
title: RIG-I recognition of RNA targets: The influence of terminal base-pair sequence and overhangs on affinity and signaling

description: Original Data for a Cell Report paper entitled "RIG-I recognition of RNA targets: The influence of terminal base-pair sequence and overhangs on affinity and signaling"
DOI: 10.17632/gynj97gtjw.1
title: SDWACCM Jan-Mar 2009 Zonal wind

description: This dataset contains zonal mean zonal winds from Specified Dynamics set up of the Whole Atmosphere Community Climate Model for the period 01 Jan - 20 Mar 2009.
DOI: 10.17632/z4xj6w9zxn.1
title: An SENP7 dependent epithelial signaling in IBD

description: Raw files from FACS analysis involving T cell populations from various mice tissues (For manuscript #CELL-REPORTS-D-19-01493)
DOI: 10.17632/69883wjsh2.3
title: Smart Energy Management System to Optimize Energy Waste in Buildings-Data and Analysis

description: Data having the per minute data of a typical day for a building including sources and various types of loads
DOI: 10.17632/w83h66729n.1
title: Data belonging to: "Direct visualization of native CRISPR target search in live bacteria reveals Cascade DNA surveillance mechanism"

description: Dataset includes D* coefficient lists, all localizations/tracks, interference data for different conditions and further data used in all figures of the manuscript. For raw image files (due to size restrictions not uploaded here) ask one of the corresponding authors of the paper. For further details see STAR methods of the paper.
DOI: 10.17632/8mjscgmrxy.1
title: Chapter 4B
DOI: 10.17632/8t77sbbv9m.1
title: Chapter 4A
DOI: 10.17632/m58bdhy2df.1
title: Data for: First endurance activity of a Brushless DC motor for aerospace applications - REPRISE project

description: The data consists of a set of measures from an Electro-Mechanical Actuator (EMA) employed in small aircrafts, such as phase currents, positions, temperature and loads. A test bench was developed to perform endurance tests with various loads and working conditions. Specifically, two datasets are provided: (i) measurements used to monitor the EMA degradation through time; (ii) measurements that characterize the EMA closed-loop dynamic behaviour in healthy condition. The data are helpful to develop and test system identification methods and condition monitoring approaches.
DOI: 10.17632/22k7vfky6s.1
title: Chapter 7
DOI: 10.17632/69ph6mwmj2.1
title: Chapter 5