cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc26jps7
title: CCDC 2041839: Experimental Crystal Structure Determination

description: Related Article: Marzena Fandzloch, Tomasz Jędrzejewski, Liliana Dobrzańska, Ginés M. Esteban-Parra, Joanna Wiśniewska, Agata Paneth, Piotr Paneth, Jerzy Sitkowski|2021|Dalton Trans.|50|5557|doi:10.1039/D0DT03974H
DOI: 10.5517/ccdc.csd.cc26jpt8
title: CCDC 2041840: Experimental Crystal Structure Determination

description: Related Article: Marzena Fandzloch, Tomasz Jędrzejewski, Liliana Dobrzańska, Ginés M. Esteban-Parra, Joanna Wiśniewska, Agata Paneth, Piotr Paneth, Jerzy Sitkowski|2021|Dalton Trans.|50|5557|doi:10.1039/D0DT03974H
DOI: 10.5517/ccdc.csd.cc26msk6
title: CCDC 2044808: Experimental Crystal Structure Determination

description: Related Article: Nattapol Ma, Soracha Kosasang, Atsushi Yoshida, Satoshi Horike|2021|Chemical Science|12|5818|doi:10.1039/D1SC00392E
DOI: 10.5517/ccdc.csd.cc26yng9
title: CCDC 2054291: Experimental Crystal Structure Determination

description: Related Article: Suman Adhikari, Tirtha Bhattacharjee, Sharmila Bhattacharjee, Constantin Gabriel Daniliuc, Antonio Frontera, Eric M. Lopato, Stefan Bernhard|2021|Dalton Trans.|50|5632|doi:10.1039/D1DT00352F
DOI: 10.5517/ccdc.csd.cc26ynhb
title: CCDC 2054292: Experimental Crystal Structure Determination

description: Related Article: Suman Adhikari, Tirtha Bhattacharjee, Sharmila Bhattacharjee, Constantin Gabriel Daniliuc, Antonio Frontera, Eric M. Lopato, Stefan Bernhard|2021|Dalton Trans.|50|5632|doi:10.1039/D1DT00352F
DOI: 10.5517/ccdc.csd.cc270vy2
title: CCDC 2056414: Experimental Crystal Structure Determination

description: Related Article: Kaiyu Mikami, Shen Hui, Kazuyuki Kubo, Shoko Kume, Tsutomu Mizuta|2021|Dalton Trans.|50|5659|doi:10.1039/D1DT00294E
DOI: 10.5517/ccdc.csd.cc270vz3
title: CCDC 2056415: Experimental Crystal Structure Determination

description: Related Article: Kaiyu Mikami, Shen Hui, Kazuyuki Kubo, Shoko Kume, Tsutomu Mizuta|2021|Dalton Trans.|50|5659|doi:10.1039/D1DT00294E
DOI: 10.5517/ccdc.csd.cc270w9g
title: CCDC 2056425: Experimental Crystal Structure Determination

description: Related Article: Kaiyu Mikami, Shen Hui, Kazuyuki Kubo, Shoko Kume, Tsutomu Mizuta|2021|Dalton Trans.|50|5659|doi:10.1039/D1DT00294E
DOI: 10.5517/ccdc.csd.cc270w05
title: CCDC 2056416: Experimental Crystal Structure Determination

description: Related Article: Kaiyu Mikami, Shen Hui, Kazuyuki Kubo, Shoko Kume, Tsutomu Mizuta|2021|Dalton Trans.|50|5659|doi:10.1039/D1DT00294E
DOI: 10.5517/ccdc.csd.cc270rvw
title: CCDC 2056318: Experimental Crystal Structure Determination

description: Related Article: Kaiyu Mikami, Shen Hui, Kazuyuki Kubo, Shoko Kume, Tsutomu Mizuta|2021|Dalton Trans.|50|5659|doi:10.1039/D1DT00294E
DOI: 10.5517/ccdc.csd.cc273fyr
title: CCDC 2058894: Experimental Crystal Structure Determination

description: Related Article: Anaïs Coffinet, Dan Zhang, Laure Vendier, Sébastien Bontemps, Antoine Simonneau|2021|Dalton Trans.|50|5582|doi:10.1039/D1DT00317H
DOI: 10.5517/ccdc.csd.cc273fzs
title: CCDC 2058895: Experimental Crystal Structure Determination

description: Related Article: Anaïs Coffinet, Dan Zhang, Laure Vendier, Sébastien Bontemps, Antoine Simonneau|2021|Dalton Trans.|50|5582|doi:10.1039/D1DT00317H
DOI: 10.21227/kc50-ac46
title: Dateset of “Review of Software Performance and Architecture Analysis Integration”

description: Software architecture is the most important determinantto systematically achieve quality attributes in a softwaresystem, including software performance. However there is nocomprehensive understanding of why and how to integratesoftware architecture and performance analysis to guide research.To fill this gap, this paper presents a systematic review of 83studies. We focus on six research questions that provide guidancefor researchers and practitioners to gain an in-depth understandingof this research area. These questions addressed: the study purposes(RQ1), the relevant software development activities (RQ2), thetypical study templates (RQ3), the available instruments forautomating the analysis (RQ4), the evaluation methodology (RQ5),and the limitations and future research directions (RQ6). The mostimportant outcome of our study is an identification of criticalresearch gaps and directions, including: 1) the lack of available toolsand benchmark datasets to support replication, cross-validation andcomparison of studies; 2) the need for architecture and performanceanalysis techniques that handle the challenges with emergingsoftware domains, such as blockchain and cyber-physical systems;3) the lack of consideration of factors such as usability thatimpact the practical adoption of the architecture and performanceanalysis approaches; 4) the need for integrating architecture andperformance analysis in Agile settings; and finally 5) the need forthe adoption of modern ML/AL techniques to efficiently integratearchitecture and performance analysis.
DOI: 10.5517/ccdc.csd.cc273g0v
title: CCDC 2058896: Experimental Crystal Structure Determination

description: Related Article: Anaïs Coffinet, Dan Zhang, Laure Vendier, Sébastien Bontemps, Antoine Simonneau|2021|Dalton Trans.|50|5582|doi:10.1039/D1DT00317H
DOI: 10.5517/ccdc.csd.cc273dxp
title: CCDC 2058862: Experimental Crystal Structure Determination

description: Related Article: Omar Ouadoudi, Tanja Kaehler, Michael Bolte, Hans-Wolfram Lerner, Matthias Wagner|2021|Chemical Science|12|5898|doi:10.1039/D1SC00543J
DOI: 10.5517/ccdc.csd.cc273dyq
title: CCDC 2058863: Experimental Crystal Structure Determination

description: Related Article: Omar Ouadoudi, Tanja Kaehler, Michael Bolte, Hans-Wolfram Lerner, Matthias Wagner|2021|Chemical Science|12|5898|doi:10.1039/D1SC00543J
DOI: 10.5517/ccdc.csd.cc273dzr
title: CCDC 2058864: Experimental Crystal Structure Determination

description: Related Article: Omar Ouadoudi, Tanja Kaehler, Michael Bolte, Hans-Wolfram Lerner, Matthias Wagner|2021|Chemical Science|12|5898|doi:10.1039/D1SC00543J
DOI: 10.5517/ccdc.csd.cc273f0t
title: CCDC 2058865: Experimental Crystal Structure Determination

description: Related Article: Omar Ouadoudi, Tanja Kaehler, Michael Bolte, Hans-Wolfram Lerner, Matthias Wagner|2021|Chemical Science|12|5898|doi:10.1039/D1SC00543J
DOI: 10.5517/ccdc.csd.cc273f1v
title: CCDC 2058866: Experimental Crystal Structure Determination

description: Related Article: Omar Ouadoudi, Tanja Kaehler, Michael Bolte, Hans-Wolfram Lerner, Matthias Wagner|2021|Chemical Science|12|5898|doi:10.1039/D1SC00543J
DOI: 10.5517/ccdc.csd.cc273f2w
title: CCDC 2058867: Experimental Crystal Structure Determination

description: Related Article: Omar Ouadoudi, Tanja Kaehler, Michael Bolte, Hans-Wolfram Lerner, Matthias Wagner|2021|Chemical Science|12|5898|doi:10.1039/D1SC00543J
DOI: 10.5517/ccdc.csd.cc273f3x
title: CCDC 2058868: Experimental Crystal Structure Determination

description: Related Article: Omar Ouadoudi, Tanja Kaehler, Michael Bolte, Hans-Wolfram Lerner, Matthias Wagner|2021|Chemical Science|12|5898|doi:10.1039/D1SC00543J
DOI: 10.5517/ccdc.csd.cc273f4y
title: CCDC 2058869: Experimental Crystal Structure Determination

description: Related Article: Omar Ouadoudi, Tanja Kaehler, Michael Bolte, Hans-Wolfram Lerner, Matthias Wagner|2021|Chemical Science|12|5898|doi:10.1039/D1SC00543J
DOI: 10.5517/ccdc.csd.cc273f5z
title: CCDC 2058870: Experimental Crystal Structure Determination

description: Related Article: Omar Ouadoudi, Tanja Kaehler, Michael Bolte, Hans-Wolfram Lerner, Matthias Wagner|2021|Chemical Science|12|5898|doi:10.1039/D1SC00543J
DOI: 10.5517/ccdc.csd.cc273f60
title: CCDC 2058871: Experimental Crystal Structure Determination

description: Related Article: Omar Ouadoudi, Tanja Kaehler, Michael Bolte, Hans-Wolfram Lerner, Matthias Wagner|2021|Chemical Science|12|5898|doi:10.1039/D1SC00543J
DOI: 10.5517/ccdc.csd.cc273f71
title: CCDC 2058872: Experimental Crystal Structure Determination

description: Related Article: Omar Ouadoudi, Tanja Kaehler, Michael Bolte, Hans-Wolfram Lerner, Matthias Wagner|2021|Chemical Science|12|5898|doi:10.1039/D1SC00543J
DOI: 10.5517/ccdc.csd.cc279kbg
title: CCDC 2064765: Experimental Crystal Structure Determination

description: Related Article: Shitao Wang, Chaoxian Yan, Wenlong Zhao, Xiaolan Liu, Cheng-Shan Yuan, Hao-Li Zhang, Xiangfeng Shao|2021|Chemical Science|12|5811|doi:10.1039/D1SC00397F
DOI: 10.5281/zenodo.3754734
title: MALDI-TOF-MS spectra of archaeological bone fragments from Guadeloupe

description: ZooMS spectra from archaeological bones. Bones were demineralized in HCl, gelatinized, digested with trypsin, and then analyzed with a MALDI-TOF-MS. More information about the bones and the analysis of the spectra can be found in the associated publication.
DOI: 10.5281/zenodo.3754733
title: MALDI-TOF-MS spectra of archaeological bone fragments from Guadeloupe

description: ZooMS spectra from archaeological bones. Bones were demineralized in HCl, gelatinized, digested with trypsin, and then analyzed with a MALDI-TOF-MS. More information about the bones and the analysis of the spectra can be found in the associated publication.
DOI: 10.26025/1912/27016
title: Sentry Underway Data for Cruise AT42-03, Sentry Dives 500-509

description: This package is the complete data package prepared by the Sentry team while at sea. Some parts of the data package will be available in other locations. We will update the metadata to include references to these data as they are available. This package contains data from Sentry Dives 500-509. These dives were done as part of AT42-03, aboard the R/V Atlantis in 2018. More information about AT42-03 is available from the Rolling Deck to Repository (R2R) and the WHOI Data Library. The DOI for this cruise is 10.7284/908473. Copyright for all video and photographic material created by the NDSF vehicles is held by the Woods Hole Oceanographic Institution. Please contact media@whoi.edu for information about publishing and copyright of images and video from this community.
DOI: 10.25345/c5nz36
title: MassIVE MSV000087329 - Alterations in protein expression and site-specific N-glycosylation of prostate cancer tissues
title: Samples were analyzed using a Maxis II QTOF instrument (Bruker Daltonik GmbH, Bremen, Germany) equipped with CaptiveSpray nanoBooster ion source coupled to a Dionex UltiMate 3000 RSLCnano system (Sunnyvale, CA, USA). Peptides were separated on an Acquity M-Class BEH130 C18 analytical column using gradient elution (isocratic hold at 4% for 11 min, then elevating B solvent content to 25% in 75 min, and to 40% in 15 min) following trapping on an Acclaim PepMap100C18 trap column. Solvent A consisted of water + 0.1% formic acid, Solvent B was acetonitrile + 0.1% formic acid, and the sample loading buffer was 0.1% TFA and 0.01% HFBA in water. The MS/MS measurements were carried out in DDA mode. The cycle time was set at 2.5 sec, with a dynamic MS/MS exclusion of the same precursor ion for 2 minutes, or if the intensity is at least 3 times larger. Preferred charge states were set between +2 and +5. MS spectra were acquired at 3 Hz in the 150-2200 m/z range, while MS/MS spectra at 4 or 16 Hz depending on the intensity of the precursor. For single stage MS measurements spectra were recorded over the mass range of 300-3000 m/z at 1 Hz.
DOI: 10.21227/g518-y638
title: HANDSv2: Multimodal Fusion of EMG and Vision for Human Grasp Intent Inference in Prosthetic Hand Control

description: For lower arm amputees, robotic prosthetic hands promise to regain the capability to perform daily living activities. Current control methods based on physiological signals such as electromyography (EMG) are prone to yielding poor inference outcomes due to motion artifacts, muscle fatigue, and many more. Vision sensors are a major source of information about the environment state and can play a vital role in inferring feasible and intended gestures. However, visual evidence is also susceptible to its own artifacts, most often due to object occlusion, lighting changes, etc. Multimodal evidence fusion using physiological and vision sensor measurements is a natural approach due to the complementary strengths of these modalities. In this paper, we present a Bayesian evidence fusion framework for grasp intent inference using eye-view video, eye-gaze, and EMG from the forearm processed by neural network models. We analyze individual and fused performance as a function of time as the hand approaches the object to grasp it. For this purpose, we have also developed novel data processing and augmentation techniques to train neural network components. Our experimental data analyses demonstrate that EMG and visual evidence show complementary strengths, and as a consequence, fusion of multimodal evidence can outperform each individual evidence modality at any given time. Specifically, results indicate that, on average, fusion improves the instantaneous upcoming grasp type classification accuracy while in the reaching phase by 13.66\% and 14.8%, relative to EMG and visual evidence individually. An overall fusion accuracy of 95.3% among 13 labels is achieved,
DOI: 10.5066/p9vcegey
title: USGS National and Global Oil and Gas Assessment Project - Williston Basin, Upper Paleozoic Conventional Assessment Unit Boundaries and Assessment Input Data Forms

description: This data release contains the boundaries of assessment units and input data for the assessment of undiscovered oil and gas resources in the Upper Paleozoic of the Williston Basin province in Montana, North Dakota and South Dakota. The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are Assessment Units that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the Assessment Unit boundary. Methodology of assessments are documented in USGS Data Series 547 for continuous assessments (https://pubs.usgs.gov/ds/547) and USGS DDS69-D, Chapter 21 for conventional assessments (https://pubs.usgs.gov/dds/dds-069/dds-069-d/REPORTS/69_D_CH_21.pdf). See supplemental information for a detailed list of files included this data release.
DOI: 10.5519/qd.ge3e6dt1
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (11979 records)
DOI: 10.5281/zenodo.4725933
title: Students' perceived obstacles with Forced Online Distance Learning during the CoVID-19 outbreak and their preferences to continue with the introduced teaching methods after the reopening of the University of Maribor [Project documentation]

description: The outbreak of COVID -19 forced most universities into distance education. Three didacticians and researchers from the University of Maribor, Slovenia: Kosta Dolenc, Mateja Ploj Virtič and Andrej Šorgo formed a self-initiated initiative project group during the COVID -19 epidemic and started the first project with the working title: The Side Effects of Forced Online Distance Education (FODE). The aim of the second study, conducted during the first wave of the epidemic in March 2020, was to investigate the response of university students to the new situation. The project documentation provided for the Forced Online Distance Learning (FODL) consists of: abstract, instrument, copy of the descriptive statistics, and SPSS dataset.
description: This work was supported by the Slovenian Research Agency under the core projects: "Information systems", grant no. P2-0057 (Šorgo Andrej) and "Computationally intensive complex systems", grant no. P1-0403 (Ploj Virtič Mateja). The authors declared that there were no conflicts of interest and that the opinions expressed were those of the authors. For the English translation of the instrument, see the articles cited in the Introduction (see Appendix).
description: {"references": ["Ploj Virti\u010d, M., Dolenc, K., & \u0160orgo, A. (2021). Changes in online distance learning behaviour of university students during the Coronavirus disease 2019 outbreak, and development of the model of forced distance online learning preferences. European Journal of Educational Research, 10(1), 393-411. https://doi.org/10.12973/eu-jer.10.1.393", "\u0160orgo, A., Ploj Virti\u010d, M., Dolenc, K. (2021). Differences in personal innovativeness in the domain of information technology among university students and teachers [submitted manuscript]", "Dolenc, K., \u0160orgo, A., Ploj Virti\u010d, M. (2021). The difference in views of educators and students on Forced Online Distance Education can lead to unintentional side effects. Education and Information Technologies [accepted manuscript], https://www.10.1007/s10639-021-10558-4", "Ploj Virti\u010d, M., Dolenc, K., \u0160orgo, A. (2020). \u0160tudij na daljavo na Univerzi v Mariboru v \u010dasu izbruha CoVID-19 in napovedni model \u0161tudija na daljavo za \u010das po ponovnem odprtju univerze. V: Inovativna uporaba IKT v visokem \u0161olstvu: izzivi in prilo\u017enosti: konferenca IKTVVIS, online, 24. - 25. september 2020. Ljubljana: IKTVVIS. 2020, http://iktvvis.si/SekcijaCC12.html#povzetek50", "\u0160orgo, A., Ploj Virti\u010d, M., Dolenc, K. (2020). Razlike med univerzitetnimi u\u010ditelji in \u0161tudenti v osebni inovativnosti na podro\u010dju informacijskih tehnologij. V: Inovativna uporaba IKT v visokem \u0161olstvu: izzivi in prilo\u017enosti: konferenca IKTVVIS, online, 24. - 25. september 2020. Ljubljana: IKTVVIS. 2020, http://iktvvis.si/SekcijaC21.html#povzetek10"]}
DOI: 10.5281/zenodo.4721343
title: Corpus RELIANCE: Scholarly communications from Earth and Environmental Sciences

description: This deposit contains the RELIANCE corpus (a selection of Earth and Environmental Sciences articles from Scigraph, enriched with semantic metadata) and the analysis of its terms based on the weirdness index. <strong>scigraph_corpus_zenodo.json</strong>. Each article has the following fields: id title abstract categories codes expertai_metada domain organizations people places known concepts concepts maingroups mainlemmas mainsentences doi <strong>reliance_weirdness_filtered.json</strong>, with all the terms of the RELIANCE corpus, sorted by their weirdness index against a general-purpose corpus (British National Corpus)
DOI: 10.5281/zenodo.4721342
title: Corpus RELIANCE: Scholarly communications from Earth and Environmental Sciences

description: This deposit contains the RELIANCE corpus (a selection of Earth and Environmental Sciences articles from Scigraph, enriched with semantic metadata) and the analysis of its terms based on the weirdness index. <strong>scigraph_corpus_zenodo.json</strong>. Each article has the following fields: id title abstract categories codes expertai_metada domain organizations people places known concepts concepts maingroups mainlemmas mainsentences doi <strong>reliance_weirdness_filtered.json</strong>, with all the terms of the RELIANCE corpus, sorted by their weirdness index against a general-purpose corpus (British National Corpus)
DOI: 10.15468/w2x5mn
title: Holistic description of new deep sea megafauna (Cephalopoda: Cirrata) using a minimally invasive approach

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ziegler, Alexander, Sagorny, Christina (2021): Holistic description of new deep sea megafauna (Cephalopoda: Cirrata) using a minimally invasive approach. BMC Biology 19 (81): 1-14, DOI: 10.1186/s12915-021-01000-9
DOI: 10.6084/m9.figshare.14502267
title: Dataset health consciousness

description: Dataset for validtion analysis of health consciousness.<br>
DOI: 10.7303/syn25618565
title: Perspectives on facial images, DNA, and other biometrics
DOI: 10.23641/asha.14462187
title: Exercise and word learning (Pruitt & Morini, 2021)

description: <b>Purpose: </b>Previous studies show that there is increased brain activity after exercise, leading to improved word recall in adults. The aim of this study was to examine whether different types of exercise (i.e., aerobic vs. anaerobic) may also lead to improved performance during vocabulary learning in children.<b>Method: </b>A total of 48 participants (24 in Experiment 1 and 24 in Experiment 2) between the ages of 6 and 12 years completed a word learning task. Training of words took place in a resting and in an exercise condition using a within-subject design. In the resting measure, children were taught names of novel objects and then colored for 3 min before being tested on their ability to recognize the words. In the exercise condition, the same steps were followed, but instead of coloring, children engaged in 3 min of either aerobic exercise (i.e., swimming in Experiment 1) or anaerobic exercise (i.e., a CrossFit-like workout in Experiment 2).<b>Results:</b> In Experiment 1, accuracy of word recognition was significantly higher for words that were trained in the aerobic exercise compared to the resting condition. In Experiment 2, there was no significant difference in performance between the anaerobic exercise and resting conditions.<b>Conclusions:</b> These findings suggest that previously identified benefits of exercise on language abilities in adults also extend to school-aged children. However, not all types of physical activity lead to this boost in performance, as only aerobic (but not anaerobic) exercise improved children’s ability to acquire new word–object relations.<br><b>Supplemental Material S1.</b> List of nonword stimuli.<br>Pruitt, M., & Morini, G. (2021). Examining the role of physical activity on word leaning in school-aged children. <i>Journal of Speech, Language, and Hearing Research</i>. Advance online publication. https://doi.org/10.1044/2021_JSLHR-20-00359