cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6306288
title: InSecTT TDMA Interference Dataset

description: This dataset provides interference measurements with a wireless sensor network (WSN) based on a time division multiple access (TDMA) protocol running on low-cost hardware. The WSN consists of a network coordinator and several measurement nodes, where each device is allowed to transmit at a certain timeslot. For the interference measurements, special measurement nodes are introduced, that measure the average signal level of all possible timeslots and send the data to the network coordinator. This provides a somehow continuous measurement of the signal level in the channel. Since only the average signal level is considered, the channel access of different communication protocols can be evaluated. Furthermore, if a device shows deterministic access to the channel, e.g. periodic access, certain patterns can be observed in the measurements. These patterns can be used to identify the source and apply countermeasures for the WSN. This dataset is a work from Silicon Austria Labs GmbH (SAL) and the Institute for Communications Engineering and RF-Systems (NTHFS) of the Johannes Kepler University (JKU) in Linz for the InSecTT project.
DOI: 10.5281/zenodo.6306287
title: InSecTT TDMA Interference Dataset

description: This dataset provides interference measurements with a wireless sensor network (WSN) based on a time division multiple access (TDMA) protocol running on low-cost hardware. The WSN consists of a network coordinator and several measurement nodes, where each device is allowed to transmit at a certain timeslot. For the interference measurements, special measurement nodes are introduced, that measure the average signal level of all possible timeslots and send the data to the network coordinator. This provides a somehow continuous measurement of the signal level in the channel. Since only the average signal level is considered, the channel access of different communication protocols can be evaluated. Furthermore, if a device shows deterministic access to the channel, e.g. periodic access, certain patterns can be observed in the measurements. These patterns can be used to identify the source and apply countermeasures for the WSN. This dataset is a work from Silicon Austria Labs GmbH (SAL) and the Institute for Communications Engineering and RF-Systems (NTHFS) of the Johannes Kepler University (JKU) in Linz for the InSecTT project.
DOI: 10.6084/m9.figshare.19249517.v1
title: Multiple Files

description: testing
DOI: 10.6084/m9.figshare.19249517
title: Multiple Files

description: testing
DOI: 10.6084/m9.figshare.19249538
title: Enamine

description: SMILES of Enamine data with the GTM mapping.
DOI: 10.6084/m9.figshare.19249538.v1
title: Enamine

description: SMILES of Enamine data with the GTM mapping.
DOI: 10.25387/g3.16892323
title: Supplemental Materials for Lata et al., 2021

description: Flow cytometry data used to estimate genome sizes of Diabroticite beetles. See file README.md for details of each file.
DOI: 10.25387/g3.16892323.v1
title: Supplemental Materials for Lata et al., 2021

description: Flow cytometry data used to estimate genome sizes of Diabroticite beetles. See file README.md for details of each file.
DOI: 10.6069/nqnf-qc53
title: MRM quantification of circulating CFP-10 in TB patients

description: Liquid chromatography coupled mass spectrometry (LC-MS) operating in targeted mass spectrometry (MS) including multiple reaction monitoring (MRM) mode is an accurate analytical method. Integrating with nanoelectrospray-tandem MS (NanoES-MS/MS) and immunoprecipitation (IP), it becomes a promising method in detecting pathogen derived antigens which are at extremely low concentrations, such as mycobacterium tuberculosis (Mtb) secreted 10 kDa culture filtrate antigen (CFP-10). We employed an optimum denaturing condition for trypsin digestion and imunoprecipitation of targeted peptides and applied this method in clinical samples.
DOI: 10.5281/zenodo.3675808
title: RAEI Data for Sensitivity of the Indian Monsoon to regional aerosol emissions

description: This folder contains the data from bespoke air quality simulations that were analyzed in the paper "Sensitivity of the Indian Monsoon to regional aerosol emissions".
DOI: 10.5281/zenodo.3675807
title: RAEI Data for Sensitivity of the Indian Monsoon to regional aerosol emissions

description: This folder contains the data from bespoke air quality simulations that were analyzed in the paper "Sensitivity of the Indian Monsoon to regional aerosol emissions".
DOI: 10.5281/zenodo.6307447
title: Dataset and scripts for the paper with title Evaluating Programming Models for the HPC GPU Ecosystem

description: Dataset and scripts for the paper with title Evaluating Programming Models for the HPC GPU Ecosystem
DOI: 10.5281/zenodo.5287705
title: Dataset and scripts for the paper with title Evaluating Programming Models for the HPC GPU Ecosystem

description: Dataset and scripts for the paper with title Evaluating Programming Models for the HPC GPU Ecosystem
DOI: 10.18434/mds2-2514
title: X-ray Computed Tomography Data of Additive Manufacturing Metrology Testbed (AMMT) Parts: Overhang Part X16
DOI: 10.5281/zenodo.4247134
title: Covid-on-the-Web dataset

description: This RDF dataset provides two main knowledge graphs produced by processing the scholarly articles of the COVID-19 Open Research Dataset (CORD-19), a resource of articles about COVID-19 and the coronavirus family of viruses. The <em>CORD-19 Named Entities Knowledge Graph</em> describes named entities identified and disambiguated by NCBO BioPortal annotator, Entity-fishing and DBpedia Spotlight. The <em>CORD-19 Argumentative Knowledge Graph</em> describes argumentative components and PICO elements extracted from the articles by the Argumentative Clinical Trial Analysis platform (ACTA). Homepage: https://github.com/Wimmics/CovidOnTheWeb License: see the LICENCE file in the archive.
description: {"references": ["F. Michel, F. Gandon, V. Ah-Kane, A. Bobasheva, E. Cabrio, O. Corby, R. Gazzotti, A. Giboin, S. Marro, T. Mayer, M. Simon, S. Villata, M. Winkler. Covid-on-the-Web: Knowledge Graph and Services to Advance Covid-19 Research. 19th International Semantic Web Conference, Athens, Greece, November 2\u20136, 2020, Proceedings, Part I"]}
DOI: 10.5281/zenodo.3833752
title: Covid-on-the-Web dataset

description: This RDF dataset provides two main knowledge graphs produced by processing the scholarly articles of the COVID-19 Open Research Dataset (CORD-19), a resource of articles about COVID-19 and the coronavirus family of viruses. The <em>CORD-19 Named Entities Knowledge Graph</em> describes named entities identified and disambiguated by NCBO BioPortal annotator, Entity-fishing and DBpedia Spotlight. The <em>CORD-19 Argumentative Knowledge Graph</em> describes argumentative components and PICO elements extracted from the articles by the Argumentative Clinical Trial Analysis platform (ACTA). Homepage: https://github.com/Wimmics/CovidOnTheWeb License: see the LICENCE file in the archive.
description: {"references": ["F. Michel, F. Gandon, V. Ah-Kane, A. Bobasheva, E. Cabrio, O. Corby, R. Gazzotti, A. Giboin, S. Marro, T. Mayer, M. Simon, S. Villata, M. Winkler. Covid-on-the-Web: Knowledge Graph and Services to Advance Covid-19 Research. 19th International Semantic Web Conference, Athens, Greece, November 2\u20136, 2020, Proceedings, Part I"]}
DOI: 10.5281/zenodo.4312640
title: The WASABI Dataset and RDF Knowledge Graph

description: The WASABI Dataset and RDF Knowledge Graph is rich dataset describing more than 2 millions commercial songs, 200K albums and 77K artists (mainly from pop/rock culture). It comprises data extracted from music databases on the Web, and resulting from the processing of song lyrics and from audio analysis. This is version 2 of the dataset. It consists of two representation formats: The JSON format provides all data extracted from the MongoDB database that backs up the web application The RDF Knowledge Graph that represents the same data following the WASABI ontology. WASABI project homepage: http://wasabihome.i3s.unice.fr/ Github: https://github.com/micbuffa/WasabiDataset
description: {"references": ["https://dx.doi.org/10.1007/978-3-030-77385-4_31"]}
DOI: 10.6084/m9.figshare.19249589
title: Enamine SMILES

description: SMILES of Enamine and the GTM mapping.
DOI: 10.18434/mds2-2504
title: Data Files Associated with Orthogonal Machining Tests on Carbon Fiber Reinforced Plastics (CFRP)
DOI: 10.23645/epacomptox.17065024
title: Multimedia Monitoring Database (MMDB)

description: Direct monitoring of chemical concentrations in different environmental and biological media is critical to understanding the mechanisms by which human and ecological receptors are exposed to exogenous chemicals. Monitoring data provides evidence of chemical occurrence in different media and can be used to inform exposure assessments. The monitoring data provide required information for parameterization and evaluation of predictive models based on chemical uses, fate and transport, and release or emission processes. Finally, these data are useful in supporting regulatory chemical assessment and decision-making. There are a wide variety of public monitoring data available from existing government programs, historical efforts, public data repositories, and peer-reviewed literature databases. However, these data are difficult to access and analyze in a coordinated manner. Here, data from 20 individual public monitoring data sources were extracted, curated to unique chemical identifiers (EPA’s DSSTox Substance Identifiers, DTXSID) and medium identifiers (e.g., blood, drinking water, indoor air, ambient air, etc.) and harmonized into a sustainable machine-readable data format for support of exposure assessments. The database is provided here as a compressed MySQL dump, containing SQL statements that would recreate MMDB in its entirety.Note that the full uncompressed size of this file is over 300 GB. Users should be aware of space requirements before uncompressing.<br>Curation updates (minor error fixes) for MMDB releases are available at https://doi.org/10.23645/epacomptox.16674298.v5.<br><br>This database accompanies the publication “A Harmonized Chemical Monitoring Database for Support of Exposure Assessments”, by Isaacs K.K., Wall J.T., Williams A.R., Hobbie K.A., Sobus J.R., Ulrich E., Lyons D., Dionisio K.L., Williams A.J., Grulke C., Foster C.A., McCoy J., and Bevington C.
DOI: 10.17903/fk2/zyoljm
title: Κρατική χρηματοδότηση των κομμάτων στην Ελλάδα από το 2000 έως και το 2020.

description: Με βάση τους νόμους 2429/1996 και 3023/2002, τα κόμματα είναι υποχρεωμένα να δημοσιεύουν τους ετήσιους ισολογισμούς τους σε εφημερίδες πανελλαδικής εμβέλειας. Συνεπώς, ο μοναδικός τρόπος ανάκτησης των πρωτογενών αυτών στοιχείων είναι η αρχειακή έρευνα σε εκείνα τα φύλλα των εφημερίδων που δημοσιεύτηκαν οι ισολογισμοί. Η έρευνα αυτή διεξήχθη στο αρχείο εφημερίδων που τηρεί η Bιβλιοθήκη της Βουλής. Στο αρχείο δεδομένων που είναι διαθέσιμο εδώ, παρουσιάζονται οι κρατικές χρηματοδοτήσεις 20 διαφορετικών κομμάτων ανά χρονιά, από το 2000 έως και το 2020.
DOI: 10.6084/m9.figshare.19249544
title: Supporting information 13: Area with and without percussion marks on the sites of sites studied and long bone breakage experiments

description: Area with and without percussion marks on the sites of Bolomor (levels IV and XIIIc), Saint Marcel Cave (StMarcel, levels g g), Abri du Maras (Maras, level 4.1 and 4.2), Riparo Tagliente (RTagliente, levels 35 and 37) and Gran Dolina (GDolina, levels TD 10) and regarding the experiments Vettese et al. 2020 (Exp_Int), Blasco et al. 2013 (Exp_ham for hammerstone and Exp_bat for batting) and Moclan et al. 2018 (Exp_moc).<br>
DOI: 10.6084/m9.figshare.19249544.v1
title: Supporting information 13: Area with and without percussion marks on the sites of sites studied and long bone breakage experiments

description: Area with and without percussion marks on the sites of Bolomor (levels IV and XIIIc), Saint Marcel Cave (StMarcel, levels g g), Abri du Maras (Maras, level 4.1 and 4.2), Riparo Tagliente (RTagliente, levels 35 and 37) and Gran Dolina (GDolina, levels TD 10) and regarding the experiments Vettese et al. 2020 (Exp_Int), Blasco et al. 2013 (Exp_ham for hammerstone and Exp_bat for batting) and Moclan et al. 2018 (Exp_moc).<br>
DOI: 10.5281/zenodo.6302925
title: broad bean and wheat stomata

description: In this project, there are 850 pictures of stomata in broad bean leaves, 101 pictures of validation stomata, and 160 pictures of stomata in wheat leaves. &lt;a rel="license" href="http://creativecommons.org/licenses/by/4.0/"&gt;&lt;img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /&gt;&lt;/a&gt;&lt;br /&gt;This work is licensed under a &lt;a rel="license" href="http://creativecommons.org/licenses/by/4.0/"&gt;Creative Commons Attribution 4.0 International License&lt;/a&gt;.:0"src="https://i.creativecommons.org/l/by/4.0/88x31.png" /&gt;&lt;/a&gt;&lt;br /&gt;本作品采用&lt; a rel="license" href="http://creativecommons.org/licenses/by/4.0/"&gt;Creative Commons Attribution 4.0 International License&lt;/a&gt;授权。
description: <br>This work is licensed under a Creative Commons Attribution 4.0 International License. This work is sponsored by the National Natural Science Foundation of China, Grant Nos. 61471167.
DOI: 10.5281/zenodo.6302921
title: broad bean and wheat stomata

description: In this project, there are 850 pictures of stomata in broad bean leaves, 101 pictures of validation stomata, and 160 pictures of stomata in wheat leaves. &lt;a rel="license" href="http://creativecommons.org/licenses/by/4.0/"&gt;&lt;img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /&gt;&lt;/a&gt;&lt;br /&gt;This work is licensed under a &lt;a rel="license" href="http://creativecommons.org/licenses/by/4.0/"&gt;Creative Commons Attribution 4.0 International License&lt;/a&gt;.:0"src="https://i.creativecommons.org/l/by/4.0/88x31.png" /&gt;&lt;/a&gt;&lt;br /&gt;本作品采用&lt; a rel="license" href="http://creativecommons.org/licenses/by/4.0/"&gt;Creative Commons Attribution 4.0 International License&lt;/a&gt;授权。
description: <br>This work is licensed under a Creative Commons Attribution 4.0 International License. This work is sponsored by the National Natural Science Foundation of China, Grant Nos. 61471167.
DOI: 10.5281/zenodo.6305612
title: Qugu Qiang texts and wordlists for NLP

description: This is a collection of Qugu Qiang (Glottolog nort2722, ISO cng) vocabulary and texts for use in NLP. These materials are presented in the Qiang orthography: Rrmea Lehhrr. The wordlist forms are from Zhou's 2010 dictionary of Qugu. Including example sentences, the dictionary contains approximately 26,000 entries. Of these entries, there were approximately 360 forms that were deemed to have typographical errors. These have been removed in the document titled 'Zhou_2010_cleaned.csv'. The full forms exactly as they were printed in Zhou 2010 are given in the file 'Zhou_2010_original.csv'. The text 'Zhou_2010_text' is a short introduction to the dictionary project written in Rrmea Lehhrr. This collection also includes a set of traditional texts in Rrmea Lehhrr. The texts 'Huang_&_Zhou_2006' are from Huang & Zhou's 2006 descriptive grammar of Qugu with a set of annotated texts. These texts were converted from the international phonetic alphabet into the Qiang orthography. Additional texts come from the Chinese Qiang History and Culture volumes published in 2021, which contain some text in Rrmea Lehhrr. This is listed as 'Qiang_2021_text.txt' Sentences with greetings were taken from Huang, Zhou & Zhang 2014. This is a publication called '366 daily Qiang sentences'. Lastly, some sentences were taken from the Baidu Wiki page on Rrmea Lehhrr. https://baike.baidu.com/item/%E7%BE%8C%E6%96%87/830740
description: {"references": ["\u9ec3\u6210\u9f8d\u3001\u5468\u767c\u6210\u3001\u5f35\u66e6,\u300a\u7f8c\u8a9e 366 \u53e5\u6703\u8a71\u53e5\u300b,\u5317\u4eac:\u793e\u6703\u79d1\u5b78\u6587\u737b \u51fa\u7248\u793e,2014 \u5e74\u3002", "\u9ec4\u5e03\u51e1, \u5468\u53d1\u6210. \u300a\u7f8c\u8bed\u7814\u7a76\u300b. \u6210\u90fd:\u56db\u5ddd\u4eba\u6c11\u51fa\u7248\u793e, 2006 \u5e74", "\u5468\u53d1\u6210. \u300a\u6c49\u7f8c\u8bcd\u5178.\u300b . \u5317\u4eac: \u4e2d\u56fd\u6587\u8054\u51fa\u7248\u793e, 2010 \u5e74", "https://baike.baidu.com/item/%E7%BE%8C%E6%96%87/830740", "\u300a\u4e2d\u534e\u7f8c\u65cf\u5386\u53f2\u6587\u5316\u96c6\u6210\u300b\u6210\u90fd:\u56db\u5ddd\u6c11\u65cf\u51fa\u7248\u793e, 2021 \u5e74"]}
DOI: 10.5281/zenodo.6305611
title: Qugu Qiang texts and wordlists for NLP

description: This is a collection of Qugu Qiang (Glottolog nort2722, ISO cng) vocabulary and texts for use in NLP. These materials are presented in the Qiang orthography: Rrmea Lehhrr. The wordlist forms are from Zhou's 2010 dictionary of Qugu. Including example sentences, the dictionary contains approximately 26,000 entries. Of these entries, there were approximately 360 forms that were deemed to have typographical errors. These have been removed in the document titled 'Zhou_2010_cleaned.csv'. The full forms exactly as they were printed in Zhou 2010 are given in the file 'Zhou_2010_original.csv'. The text 'Zhou_2010_text' is a short introduction to the dictionary project written in Rrmea Lehhrr. This collection also includes a set of traditional texts in Rrmea Lehhrr. The texts 'Huang_&_Zhou_2006' are from Huang & Zhou's 2006 descriptive grammar of Qugu with a set of annotated texts. These texts were converted from the international phonetic alphabet into the Qiang orthography. Additional texts come from the Chinese Qiang History and Culture volumes published in 2021, which contain some text in Rrmea Lehhrr. This is listed as 'Qiang_2021_text.txt' Sentences with greetings were taken from Huang, Zhou & Zhang 2014. This is a publication called '366 daily Qiang sentences'. Lastly, some sentences were taken from the Baidu Wiki page on Rrmea Lehhrr. https://baike.baidu.com/item/%E7%BE%8C%E6%96%87/830740
description: {"references": ["\u9ec3\u6210\u9f8d\u3001\u5468\u767c\u6210\u3001\u5f35\u66e6,\u300a\u7f8c\u8a9e 366 \u53e5\u6703\u8a71\u53e5\u300b,\u5317\u4eac:\u793e\u6703\u79d1\u5b78\u6587\u737b \u51fa\u7248\u793e,2014 \u5e74\u3002", "\u9ec4\u5e03\u51e1, \u5468\u53d1\u6210. \u300a\u7f8c\u8bed\u7814\u7a76\u300b. \u6210\u90fd:\u56db\u5ddd\u4eba\u6c11\u51fa\u7248\u793e, 2006 \u5e74", "\u5468\u53d1\u6210. \u300a\u6c49\u7f8c\u8bcd\u5178.\u300b . \u5317\u4eac: \u4e2d\u56fd\u6587\u8054\u51fa\u7248\u793e, 2010 \u5e74", "https://baike.baidu.com/item/%E7%BE%8C%E6%96%87/830740", "\u300a\u4e2d\u534e\u7f8c\u65cf\u5386\u53f2\u6587\u5316\u96c6\u6210\u300b\u6210\u90fd:\u56db\u5ddd\u6c11\u65cf\u51fa\u7248\u793e, 2021 \u5e74"]}
DOI: 10.5281/zenodo.5718543
title: Neural Policy Style Transfer with Twin-Delayed DDPG (NPST3)

description: Neural Policy Style Transfer with Twin-Delayed DDPG (NPST3) dataset. The research leading to these results has received funding from: RoboCity2030-DIH-CM, Madrid Robotics Digital Innovation Hub, S2018/NMT-4331, funded by “Programas de Actividades I+D en la Comunidad de Madrid” and cofunded by Structural Funds of the EU; ROBOASSET, ”Sistemas robóticos inteligentes de diagnóstico y rehabilitación de ter apias de miembro superior”, PID2020-113508RB-I00 funded by AGENCIA ESTATAL DE INVESTIGACION (AEI); and “Programa propio de investigación convocatoria de movilidad 2020” from Universidad Carlos III de Madrid. The original data used in this project was obtained from mocap.cs.cmu.edu. The original data was created with funding from NSF EIA-0196217.
description: {"references": ["http://mocap.cs.cmu.edu/"]}
DOI: 10.5281/zenodo.5718542
title: Neural Policy Style Transfer with Twin-Delayed DDPG (NPST3)

description: Neural Policy Style Transfer with Twin-Delayed DDPG (NPST3) dataset. The research leading to these results has received funding from: RoboCity2030-DIH-CM, Madrid Robotics Digital Innovation Hub, S2018/NMT-4331, funded by “Programas de Actividades I+D en la Comunidad de Madrid” and cofunded by Structural Funds of the EU; ROBOASSET, ”Sistemas robóticos inteligentes de diagnóstico y rehabilitación de ter apias de miembro superior”, PID2020-113508RB-I00 funded by AGENCIA ESTATAL DE INVESTIGACION (AEI); and “Programa propio de investigación convocatoria de movilidad 2020” from Universidad Carlos III de Madrid. The original data used in this project was obtained from mocap.cs.cmu.edu. The original data was created with funding from NSF EIA-0196217.
description: {"references": ["http://mocap.cs.cmu.edu/"]}
DOI: 10.6084/m9.figshare.16635919.v2
title: All manipulated data and R scripts

description: All manipulated data and R scripts for FIRE article "Evaluating the performance of empirical and semi-empirical models for predicting fire rate of spread in northern-European <i>Calluna vulgaris</i> heathlands."<br>
DOI: 10.5281/zenodo.6308410
title: Statin therapy inhibits fatty acid synthase via dynamic protein modifications

description: Statins are a class of drugs widely prescribed to prevent cardiovascular disease, with pleiotropic cellular effects. Statins inhibit HMG-CoA reductase (HMGCR), which converts the metabolite HMG-CoA into mevalonate. Recent discoveries revealed HMG-CoA is a reactive metabolite that can non-enzymatically modify proteins and impact their activity. Therefore, we predicted that inhibition of HMGCR by statins might increase HMG-CoA levels and protein modifications. We observed a substantial increase in HMG-CoA levels upon statin treatment, and only a single protein was modified. Mass spectrometry revealed fatty acid synthase (FAS) was modified on active site residues, and surprisingly, the modification is located on non-lysine side-chains. The dynamic modifications occur only on a sub-pool of FAS near HMGCR and alter cellular signaling around the ER and Golgi. These results uncover communication between cholesterol and lipid biosynthesis by the substrate of one pathway inhibiting another in a rapid and reversible manner.
description: These are the raw source data accompanying the manuscript of the same title
DOI: 10.5281/zenodo.5819041
title: Statin therapy inhibits fatty acid synthase via dynamic protein modifications

description: Statins are a class of drugs widely prescribed to prevent cardiovascular disease, with pleiotropic cellular effects. Statins inhibit HMG-CoA reductase (HMGCR), which converts the metabolite HMG-CoA into mevalonate. Recent discoveries revealed HMG-CoA is a reactive metabolite that can non-enzymatically modify proteins and impact their activity. Therefore, we predicted that inhibition of HMGCR by statins might increase HMG-CoA levels and protein modifications. We observed a substantial increase in HMG-CoA levels upon statin treatment, and only a single protein was modified. Mass spectrometry revealed fatty acid synthase (FAS) was modified on active site residues, and surprisingly, the modification is located on non-lysine side-chains. The dynamic modifications occur only on a sub-pool of FAS near HMGCR and alter cellular signaling around the ER and Golgi. These results uncover communication between cholesterol and lipid biosynthesis by the substrate of one pathway inhibiting another in a rapid and reversible manner.
description: These are the raw source data accompanying the manuscript of the same title
DOI: 10.5281/zenodo.6308444
title: Inter-spike Intervals Data (Pulsed modulation)

description: In this dataset you can find the inter-spike intervals experimental data recorded under sinusoidal modulation and a given Idc value for a semiconductor laser under optical feedback and current modulation. The DC pump current ranges from 25.5 to 27.5mA and the modulation amplitude is set constant to 100 (arb units) while the modulation frequency ranges from 1 to 70 MHz.