cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/tj29-rx69
title: Task-space Synergies for Reaching using Upper-limb Prostheses Experimental Data (2020)

description: Synergistic prostheses enable the coordinated movement of the human-prosthetic arm, as required by activities of daily living. This is achieved by coupling the motion of the prosthesis to the human command, such as residual limb movement in motion-based interfaces. Previous studies demonstrated that developing human-prosthetic synergies in joint-space must consider individual motor behaviour and the intended task to be performed, requiring personalisation and task calibration. In this work, an alternative synergy-based strategy, utilising a synergistic relationship expressed in task-space, is proposed. This task-space synergy has the potential to replace the need for personalisation and task calibration with a model-based approach requiring knowledge of the individual user’s arm kinematics, the anticipated hand motion during the task and voluntary information from the prosthetic user. The proposed method is compared with surface electromyography-based and joint-space synergy-based prosthetic interfaces in a study of motor behaviour and task performance on able-bodied subjects using a VR-based transhumeral prosthesis. Experimental results showed that for a set of forward reaching tasks the proposed task-space synergy achieves comparable performance to joint-space synergies and superior to conventional surface electromyography. Case study results with an amputee subject motivate the further development of the proposed task-space synergy method.
DOI: 10.21227/9934-x794
title: Cooking activity dataset with macro and micro activities

description: This dataset features cooking activities with recipes and gestures labeled. The data has been collected using two smartphones (right arm and left hip), two smartwatches (both wrists) and one motion capture system with 29 markers. There were 4 subjects who prepared 3 recipes (sandwich, fruit salad, cereal) 5 times each. The subjects followed a script for each recipe but acted as naturally as possible
DOI: 10.21227/f1n9-dt72
title: Vessel tracking (AIS), vessel metadata and dirway datasets

description: The dataset consists of vessel tracking data in the form of AIS observations in the Baltic Sea during years 2017-19. The AIS observations have been enriched with vessel metadata such as power, max speed and draft. The data has been collected for master’s thesis work and the data has been splitter into training and validation sets. The AIS observations do not cover all months of the collection period. The observations are sorted by vessel mmsi. Each observation contains information of timestamp, mmsi, lat, lon, speed (meters per second), course (degrees), heading (degrees), turnrate (degrees per minute), breadth (meters), vessel_type, vessel_max_speed (meters per second), draft (meters), power, dwt (tons) and iceclass.
DOI: 10.21227/nspg-t627
title: M2M using OPC UA

description: Cyber-Physical Production Systems (CPPS) are the key enabling for industrial businesses and economic growth. The introduction of the Internet of Things (IoT) in industrial processes represents a new Internet revolution, mostly known as 4th Industrial Revolution, towards the Smart Manufacturing concept. Despite the huge interest from the industry side to innovate their production systems, in order to increase revenues at lower costs, the IoT concept is still immature and fuzzy, which increases security related risks in industrial systems. This dataset was generated by implementing and injecting various attacks on a OPC UA based CPPS testbed, and it aim to enable users to evaluate the effectiveness of different techniques for developed Intrusion Detection Systems (IDS) in the manufacturing context.
DOI: 10.21227/p8x2-1456
title: Brazilian Coin Detection Dataset

description: This dataset is a collection of images and their respective labels containing examples of multiple Brazilian coins, the primary purpose is to support the development of Computer Vision techniques for automatic detection of such objects, i.e., localization and classification tasks. It contains coins of R$ 0.05, 0.10, 0.25, 0.50 and 1.00 in Brazilian currency from the 2nd family, as manufactured by Casa da Moeda (http://www.casadamoeda.gov.br) since 2010. The samples were collected with a mobile phone and contain multiple coins placed upon a flat white A4 sheet of paper. Labels were obtained from a group with several individuals from both sexes and detailed reviewed. Each label has a circular or polygon shape and denotes the corresponding value in cents of the coin it is related to. This dataset is an improvement from Brazilian Coins (available at https://www.kaggle.com/lgmoneda/br-coins) where location labels were created.
DOI: 10.21227/xdht-be11
title: Instantaneous Signal Collision Detection Using In-Band Full-Duplex: Machine Learning VS Domain-specific Knowledge

description: Collision detection (CD) is a key capability of carrier sense multiple access (CSMA) based medium access control (MAC) protocol. Applying CD, the transmitter can abort transmission immediately so that the power can be saved. This technique does not need the peer receiver to give feedback on whether there is a packet collision, and hence, the overall overhead is significantly low. The challenge, however, is to operate in transmit time and instantly detect the week colliding signal in the presence of strong self-interference (SI). Using this dataset, we investigate two CD methods and compares them regarding the detection performance and the false alarm rate. The first method trains a convolutional neural network (CNN) model which operates on raw baseband samples, without the need for pre-decoding. The second method treats the SI as a normal signal and estimates the signal to noise ratio (SNR): low SNR implies there is a collision because the pure SI is expected to have high SNR. Both models are evaluated by IEEE 802.15.4-like measured and simulated signals, available in the dataset. The results show that collisions up to 30 dB below the SI signal can be detected precisely within 20 us, while the proposed models can deliver an acceptably low false alarm rate &lt; 1.5%.
DOI: 10.21227/fkrc-av97
title: Task-space Synergies for Reaching using Upper-limb Prostheses Experimental Data (2020)

description: Synergistic prostheses enable the coordinated movement of the human-prosthetic arm, as required by activities of daily living. This is achieved by coupling the motion of the prosthesis to the human command, such as residual limb movement in motion-based interfaces. Previous studies demonstrated that developing human-prosthetic synergies in joint-space must consider individual motor behaviour and the intended task to be performed, requiring personalisation and task calibration. In this work, an alternative synergy-based strategy, utilising a synergistic relationship expressed in task-space, is proposed. This task-space synergy has the potential to replace the need for personalisation and task calibration with a model-based approach requiring knowledge of the individual user’s arm kinematics, the anticipated hand motion during the task and voluntary information from the prosthetic user. The proposed method is compared with surface electromyography-based and joint-space synergy-based prosthetic interfaces in a study of motor behaviour and task performance on able-bodied subjects using a VR-based transhumeral prosthesis. Experimental results showed that for a set of forward reaching tasks the proposed task-space synergy achieves comparable performance to joint-space synergies and superior to conventional surface electromyography. Case study results with an amputee subject motivate the further development of the proposed task-space synergy method.
DOI: 10.5281/zenodo.3733740
title: Simulations of a rhomboid protease GlpG with cytosolic domain in DEPC membranes

description: 5 microseconds, C36
DOI: 10.5281/zenodo.3733741
title: Simulations of a rhomboid protease GlpG with cytosolic domain in DEPC membranes

description: 5 microseconds, C36
DOI: 10.17632/crsssfh2yf.1
title: Technopreneur Publication Dataset (2000-2019)

description: The technopreneur reseach & publication dataset, which was indexed by Scopus from 2000 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/xp24xwz3vx.1
title: Raw data of the manuscript entitled “Spatiotemporal regularity and spillover effects of carbon emission intensity in China's Bohai Economic Rim”

description: The database contains the raw data needed to run the model. The consumption of coal, coke, crude oil, fuel oil, gasoline, kerosene, diesel, and natural gas are used to estimate CO2 emissions. Based on this, the carbon emission intensity of the seven provinces can be calculated from the ratio of the CO2 emissions to gross domestic product (GDP). Finally, the five covariates, which includes urbanization, economic growth, energy intensity, industry structure, and population density, are calculated through the indexes of GDP, gross output value of the secondary industry, energy consumption, total population, urban population, and Population density.
DOI: 10.17632/d6k5nm6f5c.1
title: Raw data of our manuscript entitled “Spatiotemporal regularity and spillover effects of carbon emission intensity in China's Bohai Economic Rim”

description: The database contains the raw data needed to run the model. The consumption of coal, coke, crude oil, fuel oil, gasoline, kerosene, diesel, and natural gas are used to estimate CO2 emissions. Based on this, the carbon emission intensity of the seven provinces can be calculated from the ratio of the CO2 emissions to the gross domestic product (GDP). Finally, the five covariates, which include urbanization, economic growth, energy intensity, industry structure, and population density, are calculated through the indexes of GDP, gross output value of the secondary industry, energy consumption, total population, urban population, and Population density.
DOI: 10.17632/wc7gt3j38x.1
title: Data for: 3562504 Understanding the Nature of Variations in Structural Sequences coding for Spike (S), Envelope (E), Membrane (M) and Nucleocapsid (N) Proteins of SARS-CoV-2
DOI: 10.17632/fj55scwr3g.1
title: Symbiotic N fixation effects on the growth and nutrient traits of tree legumes under different fertilization regimes

description: The economics spectrum (ES) and functional equilibrium hypothesis were tested through the multivariate analysis evaluating the fertilization treatments, species and biological nitrogen fixation effects. The excel archive presents the raw collected data, the standardized by the relativization maximum method data, and the nonmetric multidimensional scaling loadings and product-moment correlations (r). We encourage to use the raw dataset for further meta analysis studies. The Relative growth rates in diameter (RGR d) and height (RGR h); the absolute growth rates in biomass (AGR bio); leaf mass fraction (LMF); stem mass fraction (SMF); root mass fraction (RMF); shoot-to-root ratio (S:R); biomass production of the leaf (Leaves), stem (Stems) and root (Roots) components; phosphorous (P) and nitrogen (N) concentrations and nitrogen-to-phosphorous ratio (N:P) of leaves (leaf), stems (stem) and roots (root), was presented for the low nutrient (1) and high nutrient (2) fertilization treatments and for the 6 species studied sp1. Cenostigma tocantinum; sp2. Senna reticulata; sp3. Dipteryx odorata; sp4. Clitoria fairchildiana; sp5. Ina edulis; sp6. Acacia sp. The main findings of our study confirm the ES and functional equilibrium hypothesis as most species increased RGRs in diameter and height under high-nutrient regime, whereas plants under low-nutrient treatment increased allocation to the root mass fraction. Under the low-nutrient treatment Acacia sp. somehow diverged from the ES and functional equilibrium assumptions having significant growth. Growth rates and RMF were sensitive to the fertilization and species effects whereas nutrient concentrations were mostly insensitive to environmental cues.
DOI: 10.17632/k6nb7rpxv3.1
title: The first report on the genotypic diversity of Theileria parva population from southern Africa reveals possible discriminatory allele profiles with parasites from East Africa

description: Supplementary Material:
DOI: 10.17632/zx3kjzc3yx.1
title: Improved predictive models of peptide presentation on MHC I

description: Large surveys of peptides naturally presented on major histocompatibility class I (MHC I) proteins have enabled improved MHC I ligand prediction by dramatically expanding the available data for many MHC I alleles. However, it is unclear to what extent antigen processing signals can also be learned from these datasets. Here, we developed a predictor of antigen processing by training neural networks to discriminate mass spec-identified MHC I ligands from unobserved peptides, where both classes of peptides are predicted to be strong MHC I binders. The resulting predictor shows qualitative consistency with established preferences for the transporter associated with antigen processing, proteasomal cleavage, and endoplasmic reticulum aminopeptidases. When we combined the antigen processing predictor with a novel pan-allele MHC I binding predictor in a logistic regression model, the combination model significantly outperformed the two components alone as well as the NetMHCpan 4.0 and MixMHCpred 2.0.2 tools at predicting mass spec-identified MHC I ligands. Our predictors are implemented in the open source MHCflurry package, version 1.6.0 (github.com/openvax/mhcflurry).
DOI: 10.5281/zenodo.3733490
title: Metadata

description: Metadata for dataset SDY420 analyzed in the article: "swiftReg cluster registration automatically reduces flow cytometry data variability including batch effects."
DOI: 10.5281/zenodo.3733491
title: Metadata

description: Metadata for dataset SDY420 analyzed in the article: "swiftReg cluster registration automatically reduces flow cytometry data variability including batch effects."
DOI: 10.5519/qd.a2rnn18b
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (22 records)
DOI: 10.17632/69rk58gd29.1
title: Data for Partisanship and Generalized Trust in Response to the 2016 Election

description: This paper investigates the claim that the election of Donald Trump in 2016 prompted a decline in trust among Democrats and an increase in trust among Republicans. I test these hypotheses with four-wave panel data from Pew Research's American Trends Panel project, collected before and after the election. The evidence points to a relationship between Trump’s victory and a collapse of social trust among electoral losers with strong partisan attachments. From 2014 to 2018, the sharpest declines in trust occurred among Democrats in the pre- to post-electoral period (2016-2017). Pre-election Democrats were also the least likely to become and remain trusting of others following the election. No other partisan group experienced changes of trust in response to the election, including those who only weakly identify as Democrats. However, there is also evidence that the effect was temporary. By 2018, generalized trust among Democrats rebounded. The implication of these findings is that the 2016 election had a negative effect on America’s already depleted supply of social trust.
DOI: 10.17632/92z95x8xvm.1
title: DEFINITION OF PROGNOSTIC SUBGROUPS IN THE T3-AJCC8 STAGE FOR CUTANEOUS SQUAMOUS CELL CARCINOMA: TENTATIVE T3 STAGE SUBCLASSIFICATION

description: Supplementary material: DEFINITION OF PROGNOSTIC SUBGROUPS IN THE T3-AJCC8 STAGE FOR CUTANEOUS SQUAMOUS CELL CARCINOMA: TENTATIVE T3 STAGE SUBCLASSIFICATION
DOI: 10.17632/kftxhnvjgz.1
title: Colombian Election Campaign on Twitter (2018)

description: Essentially the following data shows features of discourses held on Twitter regarding the last presidential campaign in Colombia (2018) based on the agenda-setting theory. The sample includes 62 Trending Topics and 620 tweets that were selected according to criteria of relevance and influence. A method of systematic content analysis was applied to gather data on sources and contents of messages. Five important findings are highlighted: 1. Traditional mass media were mainly responsible for defining the agenda on Twitter. 2. Within the context of the agenda outlined by the media, it was citizens who monopolized the discussion, thereby playing a key role in topic dissemination, candidates’ visibility, framings, and assessments. 3. The main topic of discussion was the campaign debate itself rather than programmatic measures. 4. No correlation between the positioning and visibility of the candidates in Twitter and the electoral results could be observed. 5. Positive/non-aggressive tones prevailed over negative/aggressive ones.
DOI: 10.25345/c59m5d
title: MassIVE MSV000085193 - AP-MS analysis using Flp-In-293 cells stably expressing SIN3A with C-terminal HaloTag
title: AP-MS analysis using Flp-In-293 cells stably expressing SIN3A with C-terminal HaloTag
DOI: 10.17632/hv6v26bczp.1
title: Data on the early in-vivo effects of a single anti-emetic dose of dexamethasone on the surface marker expression of various leukocyte subsets

description: Dexamethasone is frequently administered to surgical patients for anti-emetic prophylaxis. We have examined the early in-vivo effects of dexamethasone (8 mg) to demonstrate the magnitude and temporal nature of immune-modulatory effects in circulating peripheral blood mononuclear cells in 10 healthy male volunteers. Blood samples were drawn at baseline, 2 h, 4 h and 24 h. Immune cell phenotypes were examined with ﬂow cytometry, and we have already reported reductions in classical and intermediate monocytes and dendritic cells early after dexamethasone administration, followed by an increase in the level of these populations at 24 h. We also observed a profound reduction in the expression strength of the maturation marker, HLA-DR at 24 h in all monocyte subsets and dendritic cells. This study confirmed rapid transient effects of 8 mg dexamethasone on innate immune cells. We have now also evaluated the expression strength of additional markers involved in immune activation and immunosuppression as well as maturation, migration, cell death and responsiveness to signalling. Similar to the previously described surface markers, also these were profoundly affected by dexamethasone either at the early (2 h or 4 h) or later stage (24 h) after dexamethasone administration. Thereby these data improve our understanding of the immune-modulatory effects of the glucocorticoid dexamethasone in-vivo, which may be important for the optimisation of treatment regimens as well as the evaluation of new indications for glucocorticoid treatment.
DOI: 10.17632/kfsdnkk538.1
title: Environment-genotype interaction in Cordia trichotoma (Vell.) Arráb. Ex Steud. Progenies in two different soil conditions

description: The main goal of this work was to estimate genetic parameters, environmental x genotype interaction and genetic gain on selection in two progeny tests of Cordia trichotoma. The experimental design was lead in randomized complete block, one tree plot with 40 and 34 replicates, 3.0x 3.0 m spacing between C. trichotoma and Dalbergia nigra and 6.0 x 6.0 m between C. trichotoma plants. C. trichotoma progenies, in a total of 30, were consorted with 30 Dalbergia nigra progenies o from the same place. The diameter at breath height (1.30 m), plants height, diameter at 30 cm from the soil, first twig height and survival were evaluated. The REML/BLUP method was used. Significant differences (p&lt;0.01) were observed between progenies for the whole quantitative traits.
DOI: 10.17632/kfsdnkk538.2
title: Environment-genotype interaction in Cordia trichotoma (Vell.) Arráb. Ex Steud. Progenies in two different soil conditions

description: The main goal of this work was to estimate genetic parameters, environmental x genotype interaction and genetic gain on selection in two progeny tests of Cordia trichotoma. The experimental design was lead in randomized complete block, one tree plot with 40 and 34 replicates, 3.0x 3.0 m spacing between C. trichotoma and Dalbergia nigra and 6.0 x 6.0 m between C. trichotoma plants. C. trichotoma progenies, in a total of 30, were consorted with 30 Dalbergia nigra progenies o from the same place. The diameter at breath height (1.30 m), plants height, diameter at 30 cm from the soil, first twig height and survival were evaluated. The REML/BLUP method was used. Significant differences (p&lt;0.01) were observed between progenies for the whole quantitative traits.
DOI: 10.17632/84mr7pjjzw.1
title: Sharpening of core-shell microwire with four switchable magnetic states

description: Sharp ended α-Fe core microwire covered with PrDyFeCoB amorphous shell with enhanced stray magnetic field is proposed for magnetic tweezers, stepwise switchable in external homogeneous magnetic field. Four stable magnetic states of the microwire, controlled by external magnetic field, were determined by magneto-optical Kerr effect (MOKE) microscopy. Distribution of the stray field near the microwire tip was plotted by magneto-optical indicator film (MOIF) technique. Large gradient of the stray magnetic field in the vicinity of the microwire tip is quite enough to provide magnetic force ~ 2000 pN, well enough for capturing of the PrDyFeCoB microparticle. Significance of the obtained results is in switching of the focused stray field of the microwire under external homogeneous magnetic field. This provides simple way of stepwise attaching-detaching of microparticles without electromagnetic micro coils.
DOI: 10.17632/w2xm76r5d4.1
title: Features of microflora formation in newborns depending on the mother microbiological profile

description: This article is investigating features of the microflora formation in newborns depending on the mother microbiological profile and locality altitude. Studying the problem of physiological and social adaptation of a person in extreme conditions of mountains and ensuring vital functions, in particular of microflora in unusual conditions is relevant and of significant priority. As it is known, the species composition of human microflora is constantly changing, and its stability is relative. This work is aimed to study the quantitative features and types of microbial colonization in newborns, depending on the microbiological profile of the mother in mountain conditions.
DOI: 10.17632/yd3r6dsmvp.1
title: Southern region of Kyrgyzstan: modernity and ethno-demographic development

description: This article is investigating southern region of Kyrgyzstan, its modernity and ethno-demographic development. Transition to market relations, socio-economic and political reforms, social and economic instability in the country in early years of sovereignty were decisively influenced by the dynamics and character of population life. That is why a deep and comprehensive study of Republics ethno-demographic process is relevant. In this work, based on statistical data, general description of population dynamics, its ethnic composition and migration processes in current ethno-demographic situation were described.