cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.12751/g-node.k7lw2m
title: Contextual cueing in co-active visual search: shared attention allows acquisition of task-irrelevant context

description: Repeatedly presenting a target within a stable search array facilitates visual search, an effect termed “contextual cueing”. Previous solo-performance studies have shown that contextual learning requires explicit allocation of attentional resources to the task-relevant repeated context, while repeated, but task-irrelevant subsets of items show no contextual benefits. Lack of attention to repeated, but task-irrelevant contexts may weaken contextual cueing. In a co-active environment, however, people often share some attention to both self-relevant and co-actor relevant context. Whether participants can acquire co-actor relevant, but self-irrelevant repeated contexts remains unsolved. Thus, the present study adopted the contextual cueing paradigm under the co-active social context. Participants learned a cued subset of the search display (either black or white) in the learning phase, and tested the search performance for the irrelevant subsets in the transfer phase. The experiment was conducted either in a solo condition (Experiments 1 and 3) or in a joint-action condition(Experiment 2). Contextual cueing was observed in all three experiments in the training phase. However, contextual learning of the irrelevant context in the transfer session was only manifested in the joint-action Experiment 2. Our findings suggest that shared focus of attention between partners enables representations of a coactor's task prompting contextual learning of otherwise irrelevant context. We conclude that the social interaction may widen the scope of attention, thus facilitating the acquisition of task-irrelevant contexts.
DOI: 10.6084/m9.figshare.14152466
title: Raw data of patients with lateral medullary infarction

description: The raw data of our study. This data consists of 33 patients with lateral medullary infarction.
DOI: 10.6084/m9.figshare.14152466.v1
title: Raw data of patients with lateral medullary infarction

description: The raw data of our study. This data consists of 33 patients with lateral medullary infarction.
DOI: 10.5517/ccdc.csd.cc26lnm3
title: CCDC 2043725: Experimental Crystal Structure Determination

description: Related Article: pengyu Xu|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26lvzn
title: CCDC 2043922: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26lx0r
title: CCDC 2043954: Experimental Crystal Structure Determination

description: Related Article: Neha U Parsekar, Bikshandarkoil R Srinivasan|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26m0pk
title: CCDC 2044068: Experimental Crystal Structure Determination

description: Related Article: Michael S. Kralik, David R. Wilson, Paul N. Swepston, and Richard D. Ernst. 

|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26m8vz
title: CCDC 2044321: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26m8w0
title: CCDC 2044322: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26m8x1
title: CCDC 2044323: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26md19
title: CCDC 2044420: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26md2b
title: CCDC 2044421: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26md3c
title: CCDC 2044422: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26md4d
title: CCDC 2044423: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26md5f
title: CCDC 2044424: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26md6g
title: CCDC 2044425: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26mddn
title: CCDC 2044431: Experimental Crystal Structure Determination

description: Related Article: Alexander Koronatov, Kseniia Afanaseva, Pavel Sakharov, Nikolai Rostovskii, Alexander Khlebnikov and Mikhail Novikov|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26mdqz
title: CCDC 2044441: Experimental Crystal Structure Determination

description: Related Article: Jason Potticary, Charlie Hall, Victoria Hamilton, Hazel A. Sparkes, Matthew E. Cremeens, Gemma D. D’Ambruoso, Masaomi Matsumoto, Stephen D. Warren, Simon R Hall|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26mf7j
title: CCDC 2044457: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26mf8k
title: CCDC 2044458: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26mmwc
title: CCDC 2044663: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26mf9l
title: CCDC 2044459: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26mfjt
title: CCDC 2044466: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26mfmx
title: CCDC 2044469: Experimental Crystal Structure Determination

description: Related Article: Scott T. Griffin, Robin D. Rogers|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26qm1m
title: CCDC 2047520: Experimental Crystal Structure Determination

description: Related Article: Makoto Tadokoro, Hironobu Machida, Ryuji Toyofuku, Megumi Murakami, Hajime Kamebuchi, Kyosuke Isoda, Fumiya Kobayashi, Kiyonori Takahashi, Shin'ichiro Noro, Takayoshi Nakamura|2021|Chem.Commun.|57|2249|doi:10.1039/D0CC07869G
DOI: 10.17632/68jkb7x6t4.3
title: Experimental data of three lithium-ion batteries under galvanostatic discharge tests at different rates and temperatures of operation

description: Hardware: • Arbin Instruments LBT21024 and Arbin measurement system; • IncuMax IC-500R thermal chamber Arbin Instruments LBT21024; • T-type thermocouple sensor, Omega. Software: • MITS Pro software and Data Watcher. The Arbin system supplies the user-defined current to the battery and measures voltage and surface temperature responses. Once the battery is fully charged (after the CC-CV protocol), a galvanostatic discharge profile is applied until the voltage cutoff limit is reached (2.5V for NCA and NMC, 2V for LFP chemistry). The type-T thermocouples are placed at the center location and measure the battery skin temperature. The ambient temperature is controlled by the user via the thermal chamber.
DOI: 10.6084/m9.figshare.14152601
title: First project

description: to be added.
DOI: 10.6084/m9.figshare.14152601.v2
title: First project

description: to be added.
DOI: 10.6084/m9.figshare.14152601.v1
title: First project

description: to be added.
DOI: 10.48370/ofd/og8zcb
title: Przygiełka biała (Rhynchospora alba (L.) Vahl), 1324

description: Herbarium
DOI: 10.5281/zenodo.4575621
title: How much is turbulence in the northeastern South China Sea enhanced comparing to that in the West Pacific

description: Data for manuscript titled How much is turbulence in the northeastern South China Sea enhanced comparing to that in the West Pacific.
DOI: 10.5281/zenodo.4575620
title: How much is turbulence in the northeastern South China Sea enhanced comparing to that in the West Pacific

description: Data for manuscript titled How much is turbulence in the northeastern South China Sea enhanced comparing to that in the West Pacific.
DOI: 10.48370/ofd/mkocbw
title: Przygiełka biała (Rhynchospora alba (L.) Vahl), 1337

description: Herbarium
DOI: 10.5281/zenodo.4575502
title: Butterfly: EVAL dataset

description: This dataset is mouse cortex 1, 10X v2, from the publication Ding J, Adiconis X, Simmons SK, Kowalczyk MS, Hession CC, Marjanovic ND, et al. Systematic comparison of single-cell and single-nucleus RNA-sequencing methods. Nature Biotechnology. 2020 Apr 6;1–10. This is distributed according to the Creative Commons 4.0 license. The files are also available in human cell atlas. The reason we put the data here is because we want to be able to download the data from Google Colab, and we found no way to do that in the HCA DCP.
DOI: 10.5281/zenodo.4575501
title: Butterfly: EVAL dataset

description: This dataset is mouse cortex 1, 10X v2, from the publication Ding J, Adiconis X, Simmons SK, Kowalczyk MS, Hession CC, Marjanovic ND, et al. Systematic comparison of single-cell and single-nucleus RNA-sequencing methods. Nature Biotechnology. 2020 Apr 6;1–10. This is distributed according to the Creative Commons 4.0 license. The files are also available in human cell atlas. The reason we put the data here is because we want to be able to download the data from Google Colab, and we found no way to do that in the HCA DCP.
DOI: 10.5281/zenodo.1066831
title: Nephrec9

description: <em>"Nephrec9"</em> dataset contains images of 14 steps of the Robot-Assisted Partial Nephrectomy (RAPN) procedure. <em>“Nephrec9”</em> dataset is developed from 9 full video annotations of RAPN which was annotated by an expert renal surgeon. Extracted videos were divided into small videos of 30 seconds or 720 frames, processed at 24 FPS. We extracted a total of 1262 videos, out of which we used 769 (approx. 60%) for training, 372 (approx. 30%) for the validation and 121 (approx. 10%) for testing. We have provided images of the following RAPN steps: Mobilization Dissection Identification Ultrasound Marking Clamping Resection Midollar suturing Cortical suturing Unclamping Inspection Removal Reconstruction Drainage If you use this dataset in your research or to know more about the dataset, kindly please contact to Hirenkumar Nakawala at hirenkmar.nakawala@polimi.it. Kindly please inform Dr. Hiren Nakawala if you download this dataset - thank you. We will upload some tools to process this dataset easily. If you want to know more about the dataset or have any confusions, please let us know. To know more about this research, please see the manuscript: “Deep-Onto” network for surgical workflow and context recognition, IJCARS, Nov 2018. Link: https://link.springer.com/article/10.1007/s11548-018-1882-8
DOI: 10.6084/m9.figshare.14152664.v1
title: Case-quests methodology_results of an exploratory feedback survey.docx

description: The data include results of an exploratory feedback survey of participants of case-quests – a new learning format at Lviv Business School of UCU that helped businesses to quickly act in crisis.
DOI: 10.5281/zenodo.1066830
title: Nephrec9

description: <em>"Nephrec9"</em> dataset contains images of 14 steps of the Robot-Assisted Partial Nephrectomy (RAPN) procedure. <em>“Nephrec9”</em> dataset is developed from 9 full video annotations of RAPN which was annotated by an expert renal surgeon. Extracted videos were divided into small videos of 30 seconds or 720 frames, processed at 24 FPS. We extracted a total of 1262 videos, out of which we used 769 (approx. 60%) for training, 372 (approx. 30%) for the validation and 121 (approx. 10%) for testing. We have provided images of the following RAPN steps: Mobilization Dissection Identification Ultrasound Marking Clamping Resection Midollar suturing Cortical suturing Unclamping Inspection Removal Reconstruction Drainage If you use this dataset in your research or to know more about the dataset, kindly please contact to Hirenkumar Nakawala at hirenkmar.nakawala@polimi.it. Kindly please inform Dr. Hiren Nakawala if you download this dataset - thank you. We will upload some tools to process this dataset easily. If you want to know more about the dataset or have any confusions, please let us know. To know more about this research, please see the manuscript: “Deep-Onto” network for surgical workflow and context recognition, IJCARS, Nov 2018. Link: https://link.springer.com/article/10.1007/s11548-018-1882-8
DOI: 10.6084/m9.figshare.14152664
title: Case-quests methodology_results of an exploratory feedback survey.docx

description: The data include results of an exploratory feedback survey of participants of case-quests – a new learning format at Lviv Business School of UCU that helped businesses to quickly act in crisis.
DOI: 10.48370/ofd/a9cwdr
title: Przygiełka biała (Rhynchospora alba (L.) Vahl), 1544

description: Herbarium
DOI: 10.5281/zenodo.4573698
title: Healthor: Heterogeneity-aware Flow Control in DLTs to Increase Performance and Decentralization

description: Healthor is a novel heterogeneity-aware, lightweight flow-control mechanism for permissionless reputation-based DLT networks. It captures heterogeneity by defining a node's <em>health</em> as a function of its processing power and the current network activity. The health updates of neighboring nodes are then used to calculate the message forwarding rates, thus dynamically adjusting the flow control per node. This basic mechanism allows high-end nodes to buffer messages for unhealthy nodes, thus protecting weaker nodes from being overwhelmed with wasted processing and rapidly adapting network load and bursts. With such a flow-control design more nodes are able to keep up with ledger updates and participate in DLT consensus, therefore increasing decentralization and network performances. This dataset contains the raw simulation data as shown in the author's Master's thesis. Due to the size of the raw data the dataset is split into several parts: <strong>attacks.tbz2: </strong>Results of the attack analysis. <strong>macrobenchmarks.tbz2: </strong>Results of marcobenchmarks up to networks with 2000 nodes. <strong>macrobenchmarks5000.tbz2: </strong>Results of macrobenchmarks with a network of 5000 nodes. <strong>microbenchmarks.tbz2: </strong>Results of the microbenchmarks. <strong>sensitivity-analysis.tbz2: </strong>Results of Healthor's sensitivity analysis. Please note that the full unpacked archive is over 12.5 GB of data, made up of hundreds of thousands of small files. <br> <strong>Details on the archive format</strong><br> Every archive contains several different file types. All of them together are necessary to reproduce experiment results and make sense of the data overall. In general, all files are grouped together by their simulation name as a prefix (e.g. "ExceedSendingRateAttack*"). "[simulation name].csv" contains overall information about the network setup like processing and generation rates. "[simulation name]-generated[node number].csv" contains all messages and their generation time of the node given by node number. "[simulation name]-processed_[node number].csv" contains all messages and their processing time of the node given by node number. Any ".sca", ".vci" and ".vec" files are produced by OMNeT++ and contain the information rendered out into "[simulation name].csv" but are only readable within the OMNeT++ toolset. See https://github.com/jonastheis/healthor for detailed instructions how to use this data to reproduce results shown in the thesis using this dataset.
DOI: 10.5281/zenodo.4573697
title: Healthor: Heterogeneity-aware Flow Control in DLTs to Increase Performance and Decentralization

description: Healthor is a novel heterogeneity-aware, lightweight flow-control mechanism for permissionless reputation-based DLT networks. It captures heterogeneity by defining a node's <em>health</em> as a function of its processing power and the current network activity. The health updates of neighboring nodes are then used to calculate the message forwarding rates, thus dynamically adjusting the flow control per node. This basic mechanism allows high-end nodes to buffer messages for unhealthy nodes, thus protecting weaker nodes from being overwhelmed with wasted processing and rapidly adapting network load and bursts. With such a flow-control design more nodes are able to keep up with ledger updates and participate in DLT consensus, therefore increasing decentralization and network performances. This dataset contains the raw simulation data as shown in the author's Master's thesis. Due to the size of the raw data the dataset is split into several parts: <strong>attacks.tbz2: </strong>Results of the attack analysis. <strong>macrobenchmarks.tbz2: </strong>Results of marcobenchmarks up to networks with 2000 nodes. <strong>macrobenchmarks5000.tbz2: </strong>Results of macrobenchmarks with a network of 5000 nodes. <strong>microbenchmarks.tbz2: </strong>Results of the microbenchmarks. <strong>sensitivity-analysis.tbz2: </strong>Results of Healthor's sensitivity analysis. Please note that the full unpacked archive is over 12.5 GB of data, made up of hundreds of thousands of small files. <br> <strong>Details on the archive format</strong><br> Every archive contains several different file types. All of them together are necessary to reproduce experiment results and make sense of the data overall. In general, all files are grouped together by their simulation name as a prefix (e.g. "ExceedSendingRateAttack*"). "[simulation name].csv" contains overall information about the network setup like processing and generation rates. "[simulation name]-generated[node number].csv" contains all messages and their generation time of the node given by node number. "[simulation name]-processed_[node number].csv" contains all messages and their processing time of the node given by node number. Any ".sca", ".vci" and ".vec" files are produced by OMNeT++ and contain the information rendered out into "[simulation name].csv" but are only readable within the OMNeT++ toolset. See https://github.com/jonastheis/healthor for detailed instructions how to use this data to reproduce results shown in the thesis using this dataset.
DOI: 10.6084/m9.figshare.14152787
title: Supplementary Material for: Effects of Exercise Dose and Detraining Duration on Mobility at Late Midlife: A Randomized Clinical Trial

description: <b><i>Background:</i></b> Office workers near retirement tend to be sedentary and can be prone to mobility limitations and diseases. We examined the dose effects of exergaming volume and duration of detraining on motor and cognitive function in office workers at late midlife to reduce sedentariness and mobility limitations. <b><i>Methods:</i></b> In an assessor-blinded randomized trial, 160 workers aged 55–65 years performed physically active video games in a nonimmersive form of virtual reality (exergaming) in small, supervised groups for 1 h, 1×, 2×, or 3×/week for 8 weeks followed by detraining for 8 and 16 weeks. Exergaming comprises high-intensity, full-body sensorimotor coordination, balance, endurance, and strengthening exercises. The primary outcome was the 6-minute walk test (6MWT), and secondary outcomes were body mass, self-reported physical activity, sleep quality, Berg Balance Scale, Short Physical Performance Battery, fast gait speed, dynamic balance, heart rate recovery after step test, and 6 cognitive tests. <b><i>Results:</i></b> The 3 groups were not different in any of the outcomes at baseline (all <i>p</i> &gt; 0.05). The outcomes were stable and had acceptable reliability (intraclass correlation coefficients ≥0.334) over an 8-week control period. Training produced an inverted U-shaped dose response of no (1×), most (2×), and medium (3×/week) effects of exergaming volume in most motor and selected cognitive outcomes. The distance walked in the 6MWT (primary outcome) increased most (94 m, 19%, <i>p</i> &lt; 0.05), medium (57 m, 12%, <i>p</i> &lt; 0.05), and least (4 m, 1%) after exergaming 2×, 3×, or 0× (control) (all different <i>p</i> &lt; 0.05). The highest responders tended to retain the exercise effects over 8 weeks of detraining, independent of training volume. This maintenance effect was less consistent after 16 weeks of detraining. <b><i>Conclusion:</i></b> Less was more during training and lasted longer after detraining. A medium dose volume of exergaming produced the largest clinically meaningful improvements in mobility and selected cognitive tests in 60-year-old office workers with mild mobility limitations and intact cognition.
DOI: 10.6084/m9.figshare.14152805
title: Supplementary Material for: Long-Term Follow-Up of Early Cochlear Implant Device Activation

description: <b><i>Background:</i></b> The cochlear implant (CI) is a standard procedure for the treatment of patients with severe to profound hearing loss. In the past, a standard healing period of 3–6 weeks occurred after CI surgery before the sound processor was initially activated. Advancements of surgical techniques and instruments allow an earlier initial activation of the processor within 14 days after surgery. <b><i>Objective:</i></b> Evaluation of the early CI device activation after CI surgery within 14 days, comparison to the first activation after 4–6 weeks, and assessment of the feasibility and safety of the early fitting over a 12 month observation period were the objectives of this study. <b><i>Method:</i></b> In a prospective study, 127 patients scheduled for CI surgery were divided into early fitting group (EF, <i>n</i> = 67) and control group (CG, <i>n</i> = 60). Individual questionnaires were used to evaluate medical and technical outcomes of the EF. Medical side effects, speech recognition, and follow-up effort were compared with the CG within the first year after CI surgery. <b><i>Results:</i></b> The early fitting was feasible in 97% of the EF patients. In the EF, the processor was activated 25 days earlier than in the CG. No major complications were observed in either group. At the follow-up appointments, side effects such as pain and balance problems occurred with comparable frequency in both groups. At initial fitting, the EF showed a significantly higher incidence of medical minor complications (<i>p</i> &lt; 0.05). When developing speech recognition within the first year of CI use, no difference was observed. Furthermore, the follow-up effort within the first year after CI surgery was comparable in both groups. <b><i>Conclusions:</i></b> Early fitting of the sound processor is a feasible and safe procedure with comparable follow-up effort. Although more early minor complications were observed in the EF, there were no long-term wound healing problems caused by the early fitting. Regular inspection of the magnet strength is recommended as part of the CI follow-up since postoperative wound swelling must be expected. The early fitting procedure enabled a clear reduction in the waiting time between CI surgery and initial sound processor activation.