cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3842264
title: JTI

description: <strong>REFERENCES</strong> Please cite the following with the Zenodo DOI: Zhou D and Gamazon ER (2020) JTI. Correspondence should be addressed to: ERG (ericgamazon@gmail.com) and DZ (dan.zhou@vumc.org)
DOI: 10.25952/5ecb38be46997
title: Diterpene and flavonoid constituents of the newly identified Australian Olearia sp. Munro State Forest

description: The phytochemistry and antimicrobial activity of the newly identified Australian plant Olearia sp. Munro State Forest was examined. Antimicrobial TLC bioautography-guided isolation followed by NMR spectroscopy was used to identify the known compounds 8-O-β-D-xylopyranosyl-ent-8β-hydroxylabdan-15-oic acid (1) and pinocembrin (7), and new compounds 8-O-β-D-xylopyranosyl-ent-labdan-8β,15-diol (2) and ent-15-hydroxyclerod-3-en-17-oic acid (4a). Compounds without apparent activity in TLC bioautography included the previously undescribed ent-clerod-3-en-15,17-dioic acid (3a) and ent-cleroda-3,13-dien-15,17-dioic acid (5a), as well as known ent-8β-hydroxylabdan-15-oic acid (6) and penduletin (8). This is the first phytochemical and antibacterial study on this species of Olearia and has shown it to be an abundant source of ent-labdanes and ent-clerodanes.
DOI: 10.5281/zenodo.3839231
title: EBBINNOT: A Hardware Efficient Hybrid Event-Frame Tracker for Stationary Neuromorphic Vision Sensors

description: Event-based and RGB dataset used in the publication "EBBINNOT: A Hardware Efficient Hybrid Event-Frame Tracker for Stationary Neuromorphic Vision Sensors".
DOI: 10.15468/eq8fcn
title: High diversity of Cladocera (Crustacea: Branchiopoda) in a Ramsar site Lake Kud-Thing, Northeast Thailand

description: This dataset contains the digitized treatments in Plazi based on the original journal article Tiang-Nga, Supatra, Sinev, Artem Y., Sanoamuang, La-Orsri (2020): High diversity of Cladocera (Crustacea: Branchiopoda) in a Ramsar site Lake Kud-Thing, Northeast Thailand. Zootaxa 4780 (2): 275-290, DOI: https://doi.org/10.11646/zootaxa.4780.2.3
DOI: 10.5281/zenodo.3841797
title: Statistics and Evaluation Data for Publication "Using Supervised Learning to Classify Metadata of Research Data by Field of Study"

description: Automated classification of metadata of research data by their discipline(s) of research can be used in scientometric research, by repository service providers, and in the context of research data aggregation services. Openly available metadata of the DataCite index for research data were used to compile a large training and evaluation set comprised of 609,524 records. This publication contains aggregated data for the paper. It also contains the evaluation data of all model/hyper-parameter training and test runs.
DOI: 10.15468/fu6hef
title: Myopa nebulosa sp. nov. and Myopa bozinovici sp. nov. (Diptera: Conopidae): New thick-headed flies from a threatened biodiversity hotspot in central Chile

description: This dataset contains the digitized treatments in Plazi based on the original journal article Barahona-Segovia, Rodrigo M., Barceló, Matías (2020): Myopa nebulosa sp. nov. and Myopa bozinovici sp. nov. (Diptera: Conopidae): New thick-headed flies from a threatened biodiversity hotspot in central Chile. Zootaxa 4780 (2): 291-306, DOI: https://doi.org/10.11646/zootaxa.4780.2.4
DOI: 10.15468/nea6z8
title: Two new species of the genus Chironephthya (Octocorallia, Alcyonacea, Nidaliidae Siphonogorgiinae) from the Gulf of Thailand

description: This dataset contains the digitized treatments in Plazi based on the original journal article Imahara, Yukimitsu, Chavanich, Suchana, Viyakarn, Voranop, Kushida, Yuka, Reimer, James D., Fujita, Toshihiko (2020): Two new species of the genus Chironephthya (Octocorallia, Alcyonacea, Nidaliidae Siphonogorgiinae) from the Gulf of Thailand. Zootaxa 4780 (2): 324-340, DOI: https://doi.org/10.11646/zootaxa.4780.2.6
DOI: 10.15468/7b944s
title: On the Neotropical spider genus Tullgrenella Mello-Leitão, 1941: two new species complementary descriptions and new records (Araneae: Salticidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Estol, Narelle, Marta, Kimberly S., Rodrigues, Everton Nei Lopes (2020): On the Neotropical spider genus Tullgrenella Mello-Leitão, 1941: two new species complementary descriptions and new records (Araneae: Salticidae). Zootaxa 4780 (2): 356-366, DOI: https://doi.org/10.11646/zootaxa.4780.2.8
DOI: 10.5281/zenodo.3840002
title: CL-Windcon high fidelity SOWFA simulations dataset

description: This document presents a description and a guideline for using the CL-Windcon project high fidelity SOWFA computations data sets. CL-Windcon project (Closed Loop Wind Farm Control) is a H2020 EU funded projects that brings up with new innovative ways of focusing the design and operation of wind farms, as it tries to put light into the wind farm closed-loop control paradigm, enhancing the understanding and modelling of the flow dynamics inside the wind farm, in order to simultaneously improve the efficiency and reliability and therefore reducing the cost of energy. More information about the project can be found at https://www.clwindcon.eu . This SOWFA dataset contains the computations carried out with SOWFA within the CL-Windcon project for creating a public database that could be useful to adjust the wakes of the engineering models. The dataset is stored at an FTP repository owned by CENER. The data set is open access under requirement. To get access to the data, please send an email to clwindconftp@cener.com with the title "Cl-Windcon FTP data access request".
DOI: 10.15468/9x3bhw
title: A new genus and species of Anchitrematidae Mehra, 1935 (Digenea: Gorgoderoidea) in a freshwater fish from the River Nile at Qena, Egypt with amendation of the family

description: This dataset contains the digitized treatments in Plazi based on the original journal article Dronen, Norman O., Karar, Yasser F. M., Blend, Charles K. (2020): A new genus and species of Anchitrematidae Mehra, 1935 (Digenea: Gorgoderoidea) in a freshwater fish from the River Nile at Qena, Egypt with amendation of the family. Zootaxa 4780 (2): 367-378, DOI: https://doi.org/10.11646/zootaxa.4780.2.9
DOI: 10.15468/d5sbpz
title: Descriptions of two new species of the genus Paragus Latreille (Diptera: Syrphidae) with a key to males of all South African species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Tot, Tamara, Radenković, Snežana, Nedeljković, Zorica, Likov, Laura, Vujić, Ante (2020): Descriptions of two new species of the genus Paragus Latreille (Diptera: Syrphidae) with a key to males of all South African species. Zootaxa 4780 (2): 341-355, DOI: https://doi.org/10.11646/zootaxa.4780.2.7
DOI: 10.5281/zenodo.3842005
title: Black Start Allocation for Power System Restoration Data

description: Data sets used for black start allocation instances.
description: {"references": ["Athay, T., Podmore, R., & Virmani, S. (1979). A practical method for the direct analysis of transient stability.\u00a0IEEE Transactions on Power Apparatus and Systems, (2), 573-584.", "Christie, R. (1993). 118 bus power flow test case.", "Adibi, M. (1993). IEEE 300-Bus System.", "Yu, N. P., Liu, C. C., & Price, J. (2009). Evaluation of market rules using a multi-agent system method.\u00a0IEEE Transactions on Power Systems,\u00a025(1), 470-479.", "Birchfield, A. B., Xu, T., Gegner, K. M., Shetye, K. S., & Overbye, T. J. (2016). Grid structural characteristics as validation criteria for synthetic networks.\u00a0IEEE Transactions on power systems,\u00a032(4), 3258-3265.", "Patsakis, G., Rajan, D., Aravena, I., & Oren, S. (2019). Strong Mixed-Integer Formulations for Power System Islanding and Restoration. IEEE Transactions on Power Systems, 34(6), 4880-4888.", "Patsakis, G., Rajan, D., Aravena, I., Rios, J., & Oren, S. (2018). Optimal black start allocation for power system restoration. IEEE Transactions on Power Systems, 33(6), 6766-"]}
DOI: 10.5281/zenodo.3842006
title: Black Start Allocation for Power System Restoration Data

description: Data sets used for black start allocation instances.
description: {"references": ["Athay, T., Podmore, R., & Virmani, S. (1979). A practical method for the direct analysis of transient stability.\u00a0IEEE Transactions on Power Apparatus and Systems, (2), 573-584.", "Christie, R. (1993). 118 bus power flow test case.", "Adibi, M. (1993). IEEE 300-Bus System.", "Yu, N. P., Liu, C. C., & Price, J. (2009). Evaluation of market rules using a multi-agent system method.\u00a0IEEE Transactions on Power Systems,\u00a025(1), 470-479.", "Birchfield, A. B., Xu, T., Gegner, K. M., Shetye, K. S., & Overbye, T. J. (2016). Grid structural characteristics as validation criteria for synthetic networks.\u00a0IEEE Transactions on power systems,\u00a032(4), 3258-3265.", "Patsakis, G., Rajan, D., Aravena, I., & Oren, S. (2019). Strong Mixed-Integer Formulations for Power System Islanding and Restoration. IEEE Transactions on Power Systems, 34(6), 4880-4888.", "Patsakis, G., Rajan, D., Aravena, I., Rios, J., & Oren, S. (2018). Optimal black start allocation for power system restoration. IEEE Transactions on Power Systems, 33(6), 6766-"]}
DOI: 10.5281/zenodo.3842877
title: GAW URLs and time stamps 2017-12

description: The dataset comprises the URLs and corresponding time stamps of the GAW snapshot harvested in 2017-12. The compressed directory <em>2017-12.zip</em> contains 100 files. Each file contains two columns delimited by a tab. The time stamps are given in the format of the java equivalent yyyyMMddHHmmss and are parsed as: <pre>DateTime.parse(timeStamp, DateTimeFormat.forPattern("yyyyMMddHHmmss")).getMillis</pre>
DOI: 10.5281/zenodo.3842878
title: GAW URLs and time stamps 2017-12

description: The dataset comprises the URLs and corresponding time stamps of the GAW snapshot harvested in 2017-12. The compressed directory <em>2017-12.zip</em> contains 100 files. Each file contains two columns delimited by a tab. The time stamps are given in the format of the java equivalent yyyyMMddHHmmss and are parsed as: <pre>DateTime.parse(timeStamp, DateTimeFormat.forPattern("yyyyMMddHHmmss")).getMillis</pre>
DOI: 10.7910/dvn/eftyvk/tumnjk
title: resistingbrokenwindows_replication.zip

description: :unav
DOI: 10.25919/5ecad2a7c0239
title: Parkes observations for project P885 semester 2020APRS_04

description: We propose to observe the magnetars 1E 1547.0-5408 and PSR J1622-4950 approximately weekly, to track their rotation, flux density, and polarisation, as we have long been doing through this project. The revolutionary UWL capabilities promise new opportunities to disentangle still mysterious radio emission mechanisms in magnetars. This promise is supported by the recent follow up of XTE J1810-197, again a radio magnetar after 10 years dormant, for which our observations with the UWL receiver are providing unique and tantalizing measurements of its radio spectrum and polarisation.
DOI: 10.5281/zenodo.3842013
title: #retweetthe8th: twitter dataset from the 2018 Referendum to repeal the 8th Amendment of the Constitution of Ireland

description: This dataset contains the tweet ids of 2,108,782 tweets related to the referendum to repeal the 8th Amendment of the Constitution of Ireland and replace it with the Thirty-sixth Amendment of the Constitution of Ireland on May 25, 2018. They were collected between March 9th, 2018 and May 30th, 2018 from the Twitter filter stream API using Twarc (https://github.com/DocNow/twarc). The set of terms that were used for the search were: #repealthe8th, #together4yes, #8thref, #savethe8th, #hometovote, #togetherforyes, #repealedthe8th, #loveboth, #voteyes, #voteno, #lovebothvoteno, #repealtheeighth. Note that the terms changed during the course of data collection and that the searches were not exhaustive. The GET statuses/lookup method supports retrieving the complete tweet for a tweet id (known as hydrating). Twarc can also be used to hydrate tweets. Per Twitter’s Developer Policy, tweet ids may be publicly shared for academic purposes; tweets may not. There are several practical reasons to leave the retweets, as it allows researchers to trace important tweets and their dissemination. However, for researchers that might be interested in NLP tasks for which retweets are not required, a set of 411,213 tweet ids without their retweets is also included in the zip file. Questions about this dataset can be sent to Emmet Ó Briain: emmet@quiddity.ie . (24-05-20)
DOI: 10.25919/5ecad34e55fe9
title: Parkes observations for project P1063 semester 2020APRS_04

description: We propose to use the Parkes UWL receiver for monitoring a small sub-set of the FAST-discovered pulsars, with special properties. The Parkes UWL system provides a unique capability for studying the pulsars over wide bandwidths. The observation proposed will provide significant insight into the special emission properties of these new discoveries and facilitate science.
DOI: 10.5281/zenodo.3842012
title: #retweetthe8th: twitter dataset from the 2018 Referendum to repeal the 8th Amendment of the Constitution of Ireland

description: This dataset contains the tweet ids of 2,108,782 tweets related to the referendum to repeal the 8th Amendment of the Constitution of Ireland and replace it with the Thirty-sixth Amendment of the Constitution of Ireland on May 25, 2018. They were collected between March 9th, 2018 and May 30th, 2018 from the Twitter filter stream API using Twarc (https://github.com/DocNow/twarc). The set of terms that were used for the search were: #repealthe8th, #together4yes, #8thref, #savethe8th, #hometovote, #togetherforyes, #repealedthe8th, #loveboth, #voteyes, #voteno, #lovebothvoteno, #repealtheeighth. Note that the terms changed during the course of data collection and that the searches were not exhaustive. The GET statuses/lookup method supports retrieving the complete tweet for a tweet id (known as hydrating). Twarc can also be used to hydrate tweets. Per Twitter’s Developer Policy, tweet ids may be publicly shared for academic purposes; tweets may not. There are several practical reasons to leave the retweets, as it allows researchers to trace important tweets and their dissemination. However, for researchers that might be interested in NLP tasks for which retweets are not required, a set of 411,213 tweet ids without their retweets is also included in the zip file. Questions about this dataset can be sent to Emmet Ó Briain: emmet@quiddity.ie . (24-05-20)
DOI: 10.5281/zenodo.3842027
title: XRef Dataset (ICBO_2020)

description: A dataset of XRefs extracted from agri-food ontologies and curated using OMHT (Ontology Mapping Harvester Tool), which is a script in Java language designed to extract declared mappings from ontologies and reify them into specific objects with metadata and provenance information.
DOI: 10.21227/sqvd-bx80
title: Experimental data on descending radiation of atmosphere in the resonance absorption band of water vapor 18 - 27.2 GHz

description: This dataset includes binary files of radiometric measurement sessions 2018-2019. Measurements ofmicrowave descending radiation in the band of resonance absorption of water vapor 18 - 27.2 GHz were performed.The observations were carried out by means of special microwave multichannel (47 channels) radiometer-spectrometer developed in Kotel'nikov Institute of Radioengineering and Electronic of RAS Special Design Bureau.Radiometer was located in Fryazino, Moscow Region, Russian Federation. These data were used for assesing the influence of various weather conditions (cumulus cloud cover / clear sky) on the intensity of fluctuations in brightness temperature of atmospheric descending radiation.For meteorological interpretation, the observation data (values of near-surface air temperature, atmospheric pressure, absolute humidity e t.c.) from two VantagePro2 meteo stations located at a distance of about 300 metersfrom the radiometer-spectrometer were used additionaly (also included in dataset).
DOI: 10.21227/v8mx-qk53
title: Experimental data on descending radiation of atmosphere in the resonance absorption band of water vapor 18 - 27.2 GHz

description: This dataset includes binary files of radiometric measurement sessions 2018-2019. Measurements ofmicrowave descending radiation in the band of resonance absorption of water vapor 18 - 27.2 GHz were performed.The observations were carried out by means of special microwave multichannel (47 channels) radiometer-spectrometer developed in Kotel'nikov Institute of Radioengineering and Electronic of RAS Special Design Bureau.Radiometer was located in Fryazino, Moscow Region, Russian Federation. These data were used for assesing the influence of various weather conditions (cumulus cloud cover / clear sky) on the intensity of fluctuations in brightness temperature of atmospheric descending radiation.For meteorological interpretation, the observation data (values of near-surface air temperature, atmospheric pressure, absolute humidity e t.c.) from two VantagePro2 meteo stations located at a distance of about 300 metersfrom the radiometer-spectrometer were used additionaly (also included in dataset).
DOI: 10.5281/zenodo.3842583
title: Dataset for "Fmmgen: Automatic Code Generation of Operators for Cartesian Fast Multipole and Barnes-Hut Methods"

description: This repository provides the dataset, build and run scripts for the paper "Fmmgen: Automatic Code Generation of Cartesian Fast Multipole and Barnes-Hut Operators", by Ryan Alexander Pepper and Hans Fangohr. <br> <strong>Organisation</strong><br> The repository is organised as follows: <strong><em>sim-scripts</em></strong> sim-scripts/ contains the source code, build and run scripts for running the FMM calculations described in the paper. To reproduce the results from the paper, you need as prerequisites:<br> * An installation and license of the Intel Compiler (Parallel Studio 2019 Update 3 was used for the paper).<br> * An installation of the GNU compiler suite.<br> * GNU Make<br> * Python 3.6<br> * A copy of fmmgen v1.0 (available at https://github.com/rpep/fmmgen or https://zenodo.org/record/3842591)<br> * An installation of Fidimag v3.0 (available at http://github.com/computationalmodelling/fidimag or http://dx.doi.org/10.5281/zenodo.3841935) With these prerequisites, simply run from the sim-scripts directory:<br> ```<br> # To build the executables<br> make build<br> # To run the studies<br> make run<br> ``` The four scripts are:<br> * run-harmonic-cse-comparison.sh - Runs the Fast Multipole Method for 50000 Coulomb particles, varying the order of expansion, and evaluating the performance benefits of various optimisation strategies introduced in the code generation stage. * run-scaling-comparison.sh - Runs comparisons between the Barnes-Hut and Fast Multipole Methods for different expansion orders and values of theta, the 'opening angle' parameter. * run-error-comparison.sh - Runs the FMM and Barnes-Hut calculations, saving the fields and performing the direct calculation, allowing evaluation of the errors for the two methods. * run-fidimag-tests.sh - Runs the Fidimag scaling tests for a series of magnetic dipoles placed on a lattice. <strong><em>results</em></strong> results contains the output data from the sim-scripts scripts. Note: running the scripts will overwrite this data! <br> <strong><em>figure-scripts</em></strong> This contains Python scripts needed to reproduce the figures from the paper. These generated figures are included in the repository for convenience. To run these scripts, you require: * Python &gt;= 3.6<br> * Matplotlib &gt;= 3.1.1<br> * Seaborn &gt;= 0.9.1<br> * NumPy &gt;= 1.17.1 <strong><em>figures</em></strong> This contains the output figures included in the paper.<br>
DOI: 10.5281/zenodo.3842584
title: Dataset for "Fmmgen: Automatic Code Generation of Operators for Cartesian Fast Multipole and Barnes-Hut Methods"

description: This repository provides the dataset, build and run scripts for the paper "Fmmgen: Automatic Code Generation of Cartesian Fast Multipole and Barnes-Hut Operators", by Ryan Alexander Pepper and Hans Fangohr. <br> <strong>Organisation</strong><br> The repository is organised as follows: <strong><em>sim-scripts</em></strong> sim-scripts/ contains the source code, build and run scripts for running the FMM calculations described in the paper. To reproduce the results from the paper, you need as prerequisites:<br> * An installation and license of the Intel Compiler (Parallel Studio 2019 Update 3 was used for the paper).<br> * An installation of the GNU compiler suite.<br> * GNU Make<br> * Python 3.6<br> * A copy of fmmgen v1.0 (available at https://github.com/rpep/fmmgen or https://zenodo.org/record/3842591)<br> * An installation of Fidimag v3.0 (available at http://github.com/computationalmodelling/fidimag or http://dx.doi.org/10.5281/zenodo.3841935) With these prerequisites, simply run from the sim-scripts directory:<br> ```<br> # To build the executables<br> make build<br> # To run the studies<br> make run<br> ``` The four scripts are:<br> * run-harmonic-cse-comparison.sh - Runs the Fast Multipole Method for 50000 Coulomb particles, varying the order of expansion, and evaluating the performance benefits of various optimisation strategies introduced in the code generation stage. * run-scaling-comparison.sh - Runs comparisons between the Barnes-Hut and Fast Multipole Methods for different expansion orders and values of theta, the 'opening angle' parameter. * run-error-comparison.sh - Runs the FMM and Barnes-Hut calculations, saving the fields and performing the direct calculation, allowing evaluation of the errors for the two methods. * run-fidimag-tests.sh - Runs the Fidimag scaling tests for a series of magnetic dipoles placed on a lattice. <strong><em>results</em></strong> results contains the output data from the sim-scripts scripts. Note: running the scripts will overwrite this data! <br> <strong><em>figure-scripts</em></strong> This contains Python scripts needed to reproduce the figures from the paper. These generated figures are included in the repository for convenience. To run these scripts, you require: * Python &gt;= 3.6<br> * Matplotlib &gt;= 3.1.1<br> * Seaborn &gt;= 0.9.1<br> * NumPy &gt;= 1.17.1 <strong><em>figures</em></strong> This contains the output figures included in the paper.<br>
DOI: 10.5281/zenodo.3843436
title: Round or rectangular tables for collaborative problem solving? A multimodal learning analytics study

description: This dataset contains the necessary details to reproduce the experiments of the paper : Vujovic M., Hernández-Leo, D., Tassani S., Spikol D. (2020). Round or rectangular tables for collaborative problem solving? A multimodal learning analytics study, (in the process of revision) <em>British Journal of Education Technology</em> This data represents measurements collected from two experiments explained in the article: Qualitative data - observations Experiment_university students - measurements (distance between students, range of movement, level of participation) Experiment_elementary school students - measurements (distance between students, range of movement, level of participation) We would appreciate it if you cite the paper after using the dataset.
DOI: 10.5281/zenodo.3842932
title: Dataset for publication: Validation of large-volume batch solar reactors for the treatment of rainwater in field trials in sub-Saharan Africa, Reyneke et al. (2020). DOI: 10.1016/j.scitotenv.2020.137223

description: Datasets, Supplementary Information and Water Safety Plan (Assessment Form and Risk Matrix) for the publication: "Validation of large-volume batch solar reactors for the treatment of rainwater in field trials in sub-Saharan Africa" which was published in Science of the Total Environment (https://doi.org/10.1016/j.scitotenv.2020.137223).