cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14272/sjokhizpcgzhat-uhfffaoysa-n/mass
title: Mass (, InChI=1S/C17H14Cl2S2/c18-12-1-5-14(6-2-12)20-16-9-17(10-16,11-16)21-15-7-3-13(19)4-8-15/h1-8H,9-11H2)

description: dataset for Mass
      
      EI (m/z, 70 eV, 90 °C): 356/354/352 (1/2/3) [M]+, 211/209 (34/100) [M–C6H4ClS]+, 174 (13) [M–C6H4ClS–Cl]+, 145/143 (5/12) [C6H4ClS]+, 108 (10) [C6H4S]+.
DOI: 10.14272/sjokhizpcgzhat-uhfffaoysa-n/mass.1
title: Mass (, InChI=1S/C17H14Cl2S2/c18-12-1-5-14(6-2-12)20-16-9-17(10-16,11-16)21-15-7-3-13(19)4-8-15/h1-8H,9-11H2)

description: dataset for Mass
      
      HRMS (EI, 70 eV): Calcd for C17H1435Cl232S2 [M]+: 351.9916. Found 351.9914.
DOI: 10.17632/684msr73r6.1
title: Data for: PHYTOLITH INDICES AS REGIONAL CLIMATE INDICATORS: CASE STUDIES FROM AN ALTITUDINAL GRADIENT IN SOUTH AFRICA

description: Supplementary material
DOI: 10.5445/ir/1000089980
title: Redispatch data Germany 2015-2017

description: Redispatch is used very frequently to cure congestion in the German grid. It describes the action of shutting down generation in front of a transmission grid congestion and ramping up generation behind the congestion. It is therefore of great importance to examine why redispatch is used and which patterns exist in the use of redispatch by certain grid operators. The published data is provided publicly by the German TSOs.

This data is part of a larger data set on congestion in the German electricity grids from 2015 to 2017. The related datasets are referenced below. 

The publication of this data set was supported by the German Research Foundation (DFG) as part of the Research Training Group GRK 2153: Energy Status Data - Informatics Methods for its Collection, Analysis and Exploitation.
DOI: 10.5281/zenodo.2553938
title: Binary black-hole simulation SXS:BBH:1389

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2553937
title: Binary black-hole simulation SXS:BBH:1389

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2554043
title: MediaEval AcousticBrainz Genre AllMusic

description: <strong>This dataset contains AllMusic ground-truth genre annotations and is complementary to the rest of the AcousticBrainz Genre datasets distributed at https://zenodo.org/record/2553414.</strong> The MediaEval AcousticBrainz Genre datasets are datasets of genre annotations and music features extracted from audio suited for evaluation of hierarchical multi-label genre classification systems. The datasets are used within the MediaEval AcousticBrainz Genre Task. The task is focused on content-based music genre recognition using genre annotations from multiple sources and large-scale music features data available in the AcousticBrainz database. The goal of our task is to explore how the same music pieces can be annotated differently by different communities following different genre taxonomies, and how this should be addressed by content-based genre recognition systems. We provide four datasets containing genre and subgenre annotations extracted from four different online metadata sources: <strong>AllMusic</strong> and <strong>Discogs</strong> are based on editorial metadata databases maintained by music experts and enthusiasts. These sources contain explicit genre/subgenre annotations of music releases (albums) following a predefined genre namespace and taxonomy. We propagated release-level annotations to recordings (tracks) in AcousticBrainz to build the datasets. <strong>Lastfm</strong> and <strong>Tagtraum</strong> are based on collaborative music tagging platforms with large amounts of genre labels provided by their users for music recordings (tracks). We have automatically inferred a genre/subgenre taxonomy and annotations from these labels. For details on format and contents, please refer to the data webpage. <strong>Citation</strong> If you use the MediaEval AcousticBrainz Genre dataset or part of it, please cite our ISMIR 2019 overview paper: <pre><code>Bogdanov, D., Porter A., Schreiber H., Urbano J., & Oramas S. (2019). The AcousticBrainz Genre Dataset: Multi-Source, Multi-Level, Multi-Label, and Large-Scale. 20th International Society for Music Information Retrieval Conference (ISMIR 2019).</code></pre> <strong>Acknowledgements</strong> This work is partially supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 688382 AudioCommons.
DOI: 10.5281/zenodo.2554044
title: MediaEval AcousticBrainz Genre AllMusic

description: <strong>This dataset contains AllMusic ground-truth genre annotations and is complementary to the rest of the AcousticBrainz Genre datasets distributed at https://zenodo.org/record/2553414.</strong> The MediaEval AcousticBrainz Genre datasets are datasets of genre annotations and music features extracted from audio suited for evaluation of hierarchical multi-label genre classification systems. The datasets are used within the MediaEval AcousticBrainz Genre Task. The task is focused on content-based music genre recognition using genre annotations from multiple sources and large-scale music features data available in the AcousticBrainz database. The goal of our task is to explore how the same music pieces can be annotated differently by different communities following different genre taxonomies, and how this should be addressed by content-based genre recognition systems. We provide four datasets containing genre and subgenre annotations extracted from four different online metadata sources: <strong>AllMusic</strong> and <strong>Discogs</strong> are based on editorial metadata databases maintained by music experts and enthusiasts. These sources contain explicit genre/subgenre annotations of music releases (albums) following a predefined genre namespace and taxonomy. We propagated release-level annotations to recordings (tracks) in AcousticBrainz to build the datasets. <strong>Lastfm</strong> and <strong>Tagtraum</strong> are based on collaborative music tagging platforms with large amounts of genre labels provided by their users for music recordings (tracks). We have automatically inferred a genre/subgenre taxonomy and annotations from these labels. For details on format and contents, please refer to the data webpage. <strong>Citation</strong> If you use the MediaEval AcousticBrainz Genre dataset or part of it, please cite our ISMIR 2019 overview paper: <pre><code>Bogdanov, D., Porter A., Schreiber H., Urbano J., & Oramas S. (2019). The AcousticBrainz Genre Dataset: Multi-Source, Multi-Level, Multi-Label, and Large-Scale. 20th International Society for Music Information Retrieval Conference (ISMIR 2019).</code></pre> <strong>Acknowledgements</strong> This work is partially supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 688382 AudioCommons.
DOI: 10.21227/hnrb-x432
title: The Opinions of the decision makers

description: There are 3 data files in total for this data set, 1 for Experiment 1 and 2 for Experiment 2. The File Experiment 1.csv contains 12 matrices for Experiment 1, which are the opinions of the decision makers with the pairwise comparison of alternatives in the form of the linguistic preference relations. The File Experiment 2-1.csv contains 51 matrices, which denote the opinions of the decision makers with the pairwise comparison of alternatives in the form of the Linguistic Discrete Region. Experiment 2-2.csv contains the data of the iteration processes which are used to obtain the ranking of alternatives.
DOI: 10.21227/mn57-s941
title: The Opinions of the decision makers

description: There are 3 data files in total for this data set, 1 for Experiment 1 and 2 for Experiment 2. The File Experiment 1.csv contains 12 matrices for Experiment 1, which are the opinions of the decision makers with the pairwise comparison of alternatives in the form of the linguistic preference relations. The File Experiment 2-1.csv contains 51 matrices, which denote the opinions of the decision makers with the pairwise comparison of alternatives in the form of the Linguistic Discrete Region. Experiment 2-2.csv contains the data of the iteration processes which are used to obtain the ranking of alternatives.
DOI: 10.5445/ir/1000089667
title: Renewable feed-in management data Germany 2015-2018

description: The data sets comprise EinsMan (renewable feed-in management) data of the distribution system operators EDIS, Schleswig Holstein Netze, Bayernwerke and Avacon. These distribution system operators account for numerous feed-in management measures in the German power grid (for wind or solar generation). Due to the rise of the renewable energy share in the German electricity generation mix there is an increase in congestion in the German transmission and distribution grids. There are in general several measures in place to handle congestion. Often feed-in management (only renewable sources) is used, which raises several research questions. The data set provides a basis for their investigation.

This data is part of a larger data set on congestion in the German electricity grids from 2015 to 2018. The related datasets are referenced below. 

The publication of this data set was supported by the German Research Foundation (DFG) as part of the Research Training Group GRK 2153: Energy Status Data - Informatics Methods for its Collection, Analysis and Exploitation.
DOI: 10.21227/cd75-0377
title: Image Quality Metrics and Radiologists' Scores

description: This raw data was used in a study looking at the correlations between 10 image quality metrics (IQMs) and the subjective image quality scores of expert radiologists. Nine MR images of the abdomin and of the brain were retrospectively degraded by noise, motion, undersampling, compression, and blurring. Each of these images we then evaluated by the radiologists and the IQM scores were calculated. This data set is made up of the radiologists' scores and the IQM scores.
DOI: 10.21227/qxg1-a814
title: Image Quality Metrics and Radiologists' Scores

description: This raw data was used in a study looking at the correlations between 10 image quality metrics (IQMs) and the subjective image quality scores of expert radiologists. Nine MR images of the abdomin and of the brain were retrospectively degraded by noise, motion, undersampling, compression, and blurring. Each of these images we then evaluated by the radiologists and the IQM scores were calculated. This data set is made up of the radiologists' scores and the IQM scores.
DOI: 10.5281/zenodo.2553811
title: IMPULSE: Integrate Public Metadata Underneath professional Library SErvices

description: This repository contains the results of our experimental evaluation conducted with IMPULSE (https://github.com/t-blume/impulse). The datasets are subsets of the Billion Triple Challenge Dataset 2014 (http://km.aifb.kit.edu/projects/btc-2014/) containing only bibliographic metadata.
DOI: 10.17632/4t7f8n3n38.2
title: Data for: Corrosion behavior and biological activity of micro-arc oxidation coating with puerarin on pure magnesium surface

description: The data cantains Surface morphologies of coatings，XPS data，FTIR spectra data and corrosion behavior data.
DOI: 10.5281/zenodo.2554137
title: Binary black-hole simulation SXS:BBH:1391

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2554138
title: Binary black-hole simulation SXS:BBH:1391

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.17632/x5tv5d4zkh.1
title: Data for: Correlating weathered, microphenocryst-rich, intermediate tephra: a new approach combining bulk and single shard analyses from the Lepué Tephra, Chile.

description: Supplementary Data Table
DOI: 10.21227/c99h-2943
title: Cyber-security Modbus ICS dataset

description: This dataset was generated on a small-scale process automation scenario using MODBUS/TCP equipment, for research on the application of ML techniques to cybersecurity in Industrial Control Systems. The testbed emulates a CPS process controlled by a SCADA system using the MODBUS/TCP protocol. It consists of a liquid pump simulated by an electric motor controlled by a variable frequency drive (allowing for multiple rotor speeds), which in its turn controlled by a Programmable Logic Controller (PLC). The motor speed is determined by a set of predefined liquid temperature thresholds, whose measurement is provided by a MODBUS Remote Terminal Unit (RTU) device providing a temperature gauge, which is simulated by a potentiometer connected to an Arduino. The PLC communicates horizontally with the RTU, providing insightful knowledge of how this type of communications may have an effect on the overall system. The PLC also communicates with the Human-Machine Interface (HMI) controlling the system. The testbed is depicted in the image hereby included.The provided sample corresponds to roughly one third of the total available captured traces.The full network trace data sets are available at:https://github.com/tjcruz-dei/ICS_PCAPS/releases/tag/MODBUSTCP#1Citation RequestFrazão, I. and Pedro Henriques Abreu and Tiago Cruz and Araújo, H. and Simões, P. , "Denial of Service Attacks: Detecting the frailties of machine learning algorithms in the Classication Process", in 13th International Conference on Critical Information Infrastructures Security (CRITIS 2018), ed. Springer, Kaunas, Lithuania, September 24-26, 2018, Springer series on Security and Cryptology , 2018. DOI: 10.1007/978-3-030-05849-4_19
DOI: 10.5281/zenodo.2553581
title: Reverse flip open access journals

description: This dataset provides data on 152 scholarly journals that have been identified to have "reverse flipped", i.e. at some point changed their publishing model from open access publishing to toll-access (incl. hybrid open access). Appended is a brief documentation covering the contents of the various data points. A description of the data collection method and analysis are aimed to be made available through a journal article publication during 2019.
DOI: 10.5281/zenodo.2553582
title: Reverse flip open access journals

description: This dataset provides data on 152 scholarly journals that have been identified to have "reverse flipped", i.e. at some point changed their publishing model from open access publishing to toll-access (incl. hybrid open access). Appended is a brief documentation covering the contents of the various data points. A description of the data collection method and analysis are aimed to be made available through a journal article publication during 2019.
DOI: 10.14457/mu.the.2000.512
title: Self care practice of the elderly in Bangkok
DOI: 10.14457/mu.the.2000.513
title: The effects of swaddling on pain response related to heelstick in premature infants
DOI: 10.14457/mu.the.2000.514
title: Pedagogical analysis of the intermediate piano techniques in Dmitri kabalevsky's thirty children's pieces, opus 27
DOI: 10.17632/4t7f8n3n38.1
title: Data for: Corrosion behavior and biological activity of micro-arc oxidation coating with puerarin on pure magnesium surface

description: The data cantains Surface morphologies of coatings，XPS data，FTIR spectra data and corrosion behavior data.
DOI: 10.5281/zenodo.2554082
title: District heating network data for the city of Flensburg from 2014-2016

description: The data package contains flow temperatures and the overall heat load for the central district heating network of Flensburg, Germany for the years 2014-2016. Measurements were performed on the supply side i.e. close to the cogeneration plant.
description: If you have any question or feedback, please do not hesitate to contact us: https://www.stadtwerke-flensburg.de
DOI: 10.14457/mu.the.2000.515
title: The effectiveness of health promoting personal hygiene program for grade 5-6 students in Uthaithani province
DOI: 10.14457/mu.the.2000.516
title: The development of an exercise model for first year nursing students in the Naval Nurse Corps school
DOI: 10.14457/mu.the.2000.517
title: Perceptions of patients with coronary artery disease undergoing percutaneous transluminal coronary angioplasty
DOI: 10.14457/mu.the.2000.518
title: Nursing care needs of chronic renal failure patients on hemodialysis
DOI: 10.14457/mu.the.2000.519
title: Views of patients with coronary artery disease about nursing services : a case study at the Medical Department, Chaoprayayomraj hospital, Supanburi province
DOI: 10.14457/mu.the.2000.520
title: The evaluation of quality of nursing service management in male trauma ward at Chaoprayayommaraj hospital Suphunburi province
DOI: 10.14457/mu.the.2000.521
title: Effects of losartan and enalapril on blood glucose level in alloxan-induced diabetic rats and on triglyceride and total cholesterol levels in cholesterol-induced hyperlipidemic rats
DOI: 10.14457/mu.the.2000.522
title: Interaction of model drugs with plastic intra venous administration system : factors affecting drug availability
DOI: 10.14457/mu.the.2000.523
title: A study of perceived self-efficacy and health promoting behavior of chronic renal failure patients with continuous ambulatory peritoneal
DOI: 10.21227/931k-te65
title: Cyber-security Modbus ICS dataset

description: This dataset was generated on a small-scale process automation scenario using MODBUS/TCP equipment, for research on the application of ML techniques to cybersecurity in Industrial Control Systems. The testbed emulates a CPS process controlled by a SCADA system using the MODBUS/TCP protocol. It consists of a liquid pump simulated by an electric motor controlled by a variable frequency drive (allowing for multiple rotor speeds), which in its turn controlled by a Programmable Logic Controller (PLC). The motor speed is determined by a set of predefined liquid temperature thresholds, whose measurement is provided by a MODBUS Remote Terminal Unit (RTU) device providing a temperature gauge, which is simulated by a potentiometer connected to an Arduino. The PLC communicates horizontally with the RTU, providing insightful knowledge of how this type of communications may have an effect on the overall system. The PLC also communicates with the Human-Machine Interface (HMI) controlling the system. The testbed is depicted in the image hereby included.The provided sample corresponds to roughly one third of the total available captured traces.The full network trace data sets are available at:https://github.com/tjcruz-dei/ICS_PCAPS/releases/tag/MODBUSTCP#1Citation RequestFrazão, I. and Pedro Henriques Abreu and Tiago Cruz and Araújo, H. and Simões, P. , "Denial of Service Attacks: Detecting the frailties of machine learning algorithms in the Classication Process", in 13th International Conference on Critical Information Infrastructures Security (CRITIS 2018), ed. Springer, Kaunas, Lithuania, September 24-26, 2018, Springer series on Security and Cryptology , 2018. DOI: 10.1007/978-3-030-05849-4_19
DOI: 10.21227/tr4c-tx70
title: Cyber-security Modbus ICS dataset

description: This dataset was generated on a small-scale process automation scenario using MODBUS/TCP equipment, for research on the application of ML techniques to cybersecurity in Industrial Control Systems. The testbed emulates a CPS process controlled by a SCADA system using the MODBUS/TCP protocol. It consists of a liquid pump simulated by an electric motor controlled by a variable frequency drive (allowing for multiple rotor speeds), which in its turn controlled by a Programmable Logic Controller (PLC). The motor speed is determined by a set of predefined liquid temperature thresholds, whose measurement is provided by a MODBUS Remote Terminal Unit (RTU) device providing a temperature gauge, which is simulated by a potentiometer connected to an Arduino. The PLC communicates horizontally with the RTU, providing insightful knowledge of how this type of communications may have an effect on the overall system. The PLC also communicates with the Human-Machine Interface (HMI) controlling the system. The testbed is depicted in the image hereby included.The provided sample corresponds to roughly one third of the total available captured traces.The full network trace data sets are available at:https://github.com/tjcruz-dei/ICS_PCAPS/releases/tag/MODBUSTCP#1Citation RequestFrazão, I. and Pedro Henriques Abreu and Tiago Cruz and Araújo, H. and Simões, P. , "Denial of Service Attacks: Detecting the frailties of machine learning algorithms in the Classication Process", in 13th International Conference on Critical Information Infrastructures Security (CRITIS 2018), ed. Springer, Kaunas, Lithuania, September 24-26, 2018, Springer series on Security and Cryptology , 2018. DOI: 10.1007/978-3-030-05849-4_19
DOI: 10.5281/zenodo.2554190
title: 0.3 ms of asymmetric GM1:POPC/POPC (24:76/97) bilayer

description: Lollipop-like GM1. Fifth 25 microseconds of total 300 microseconds.
DOI: 10.14457/mu.the.2000.524
title: The relationships among selected factors, postpartum support, infant temperament, and postpartum anxiety and depression
DOI: 10.14457/mu.the.2000.525
title: A study of perceived self-efficacy and situational influences on exercise behavior in coronary artery disease patients at Uttaradit hospital
DOI: 10.14457/mu.the.2000.526
title: An expert system for Thai fish classification to the family level
DOI: 10.21227/r6ej-qn68
title: Cyber-security Modbus ICS dataset

description: This dataset was generated on a small-scale process automation scenario using MODBUS/TCP equipment, for research on the application of ML techniques to cybersecurity in Industrial Control Systems. The testbed emulates a CPS process controlled by a SCADA system using the MODBUS/TCP protocol. It consists of a liquid pump simulated by an electric motor controlled by a variable frequency drive (allowing for multiple rotor speeds), which in its turn controlled by a Programmable Logic Controller (PLC). The motor speed is determined by a set of predefined liquid temperature thresholds, whose measurement is provided by a MODBUS Remote Terminal Unit (RTU) device providing a temperature gauge, which is simulated by a potentiometer connected to an Arduino. The PLC communicates horizontally with the RTU, providing insightful knowledge of how this type of communications may have an effect on the overall system. The PLC also communicates with the Human-Machine Interface (HMI) controlling the system. The testbed is depicted in the image hereby included.The provided sample corresponds to roughly one third of the total available captured traces.The full network trace data sets are available at:https://github.com/tjcruz-dei/ICS_PCAPS/releases/tag/MODBUSTCP#1Citation RequestFrazão, I. and Pedro Henriques Abreu and Tiago Cruz and Araújo, H. and Simões, P. , "Denial of Service Attacks: Detecting the frailties of machine learning algorithms in the Classication Process", in 13th International Conference on Critical Information Infrastructures Security (CRITIS 2018), ed. Springer, Kaunas, Lithuania, September 24-26, 2018, Springer series on Security and Cryptology , 2018. DOI: 10.1007/978-3-030-05849-4_19
DOI: 10.5286/isis.e.rb1870005-2
title: 1870005
DOI: 10.5286/isis.e.rb1870029-1
title: 1870029
DOI: 10.5286/isis.e.rb1910635-1
title: 1910635