1. |
- Afroze, Shammya, 1987, et al.
(author)
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Neutron and X-ray powder diffraction data to determine the structural properties of novel layered perovskite PrSrMn2O5+δ
- 2020
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In: Data in Brief. - : Elsevier BV. - 2352-3409. ; 29
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Journal article (peer-reviewed)abstract
- The data presented in this article are related to the formation of a novel layered perovskite oxide material, PrSrMn2O5+δ, through a solid-state synthesis route. Here, we present the high-resolution neutron powder diffraction and the X-ray powder diffraction data at room temperature. The new perovskite material crystallizes in the orthorhombic symmetry. Interpretation of this data can be found in a research article titled “Insight of novel layered perovskite PrSrMn2O5+δ: A neutron powder diffraction study” (Shammya et al., 2019) [1].
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2. |
- Arnemo, Jon
(author)
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Non-invasive blood pressure and other physiological data in chemically immobilized brown bears (Ursus arctos)
- 2020
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In: Data in Brief. - : Elsevier BV. - 2352-3409. ; 30
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Journal article (peer-reviewed)abstract
- Free-ranging brown bears (Ursus arctos) were snared and subsequently darted with a combination of xylazine-ketamine in Croatia (n = 5) or darted from a helicopter with a combination of medetomidine-tiletamine-zolazepam in Scandinavia (n = 20). Three adults and one yearling (1 year old) bear were captured in Croatia, with one adult being captured twice. The Scandinavian bears were divided into Group A (yearlings, n = 7) and Group B (subadults, n = 2 and adults, n = 11). The exertion time (time from activation of the trap or from the start of the helicopter chase to recumbency) and the induction time (time from darting to recumbency) were recorded. The rectal temperature (Tr) was measured as soon as possible after induction and then monitored at frequent intervals (varied between individuals) in immobilized bears. Blood pressure (BP) was measured with a non-invasive method (Korotkoff's technique) every 5 minutes. The heart rate (HR), respiratory rate (RR), and arterial haemoglobin oxygen saturation (SpO(2)) were recorded every 5 minutes. Reliability of the BP monitoring technique, trends of variation of the physiological variables, and the factors related to the capture were assessed. Both exertion and induction times were longer in Croatian bears than in Scandinavian bears. In Croatian bears, the Tr was either constant or slightly decreasing, with hyperthermia recorded in two individuals (Tr > 39.0 degrees C). In Scandinavian bears, 17 of 20 individuals developed an initial hyperthermia. Four of five bears in Croatia and 17 of 20 bears in Scandinavia showed a decreasing trend in systolic and mean BP over time. According to the Korotkoff method, all bears were hypertensive(meanBP > 130 mmHg) with varying severity, and the systolic pressure was significantly lower in yearlings when compared to subadults and adults. Yearlings had significantly (p < 0.05) higher HR than subadults and adults, however there was no significant differences in RR, SpO(2), and Tr between the age groups. All Croatian bears and 13 of 20 Scandinavian bears were moderately to severely hypoxemic (SpO(2) < 90%). Further studies with simultaneous invasive and non-invasive (Korotkoff) BP monitoring techniques are required to confirm the accuracy of methods used in this study. The data presented here provides evidence of the physiological impact of different capture methods and chemical immobilization of brown bears in Croatia and Scandinavia. (C) 2020 The Author(s). Published by Elsevier Inc.
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3. |
- Auenhammer, Robert, 1991, et al.
(author)
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Dataset of non-crimp fabric reinforced composites for an X-ray computer tomography aided engineering process
- 2020
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In: Data in Brief. - : Elsevier BV. - 2352-3409. ; 33
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Journal article (peer-reviewed)abstract
- This data in brief article describes a dataset used for an X-ray computer tomography aided engineering process consisting of X-ray computer tomography data and finite element models of non-crimp fabric glass fibre reinforced composites. Additional scanning electron microscope images are provided for the validation of the fibre volume fraction. The specimens consist of 4 layers of unidirectional bundles each supported by off-axis backing bundles with an average orientation on ±80°. The finite element models, which were created solely on the image data, simulate the tensile stiffness of the samples. The data can be used as a benchmark dataset to apply different segmentation algorithms on the X-ray computer tomography data. It can be further used to run the models using different finite element solvers.
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4. |
- Bekiroglu, Y., et al.
(author)
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Visual and tactile 3D point cloud data from real robots for shape modeling and completion
- 2020
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In: Data in Brief. - : Elsevier. - 2352-3409. ; 30
-
Journal article (peer-reviewed)abstract
- Representing 3D geometry for different tasks, e.g. rendering and reconstruction, is an important goal in different fields, such as computer graphics, computer vision and robotics. Robotic applications often require perception of object shape information extracted from sensory data that can be noisy and incomplete. This is a challenging task and in order to facilitate analysis of new methods and comparison of different approaches for shape modeling (e.g. surface estimation), completion and exploration, we provide real sensory data acquired from exploring various objects of different complexities. The dataset includes visual and tactile readings in the form of 3D point clouds obtained using two different robot setups that are equipped with visual and tactile sensors. During data collection, the robots touch the experiment objects in a predefined manner at various exploration configurations and gather visual and tactile points in the same coordinate frame based on calibration between the robots and the used cameras. The goal of this exhaustive exploration procedure is to sense unseen parts of the objects which are not visible to the cameras, but can be sensed via tactile sensors activated at touched areas. The data was used for shape completion and modeling via Implicit Surface representation and Gaussian-Process-based regression, in the work “Object shape estimation and modeling, based on sparse Gaussian process implicit surfaces, combining visual data and tactile exploration” [3], and also used partially in “Enhancing visual perception of shape through tactile glances” [4], both studying efficient exploration of objects to reduce number of touches.
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5. |
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6. |
- Bälter, Katarina, et al.
(author)
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Data from an Our Voice citizen science initiative in neighborhoods with low socioeconomic status in Sweden : A proof of concept for collecting complex data
- 2020
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In: Data in Brief. - : Elsevier BV. - 2352-3409. ; 33
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Journal article (peer-reviewed)abstract
- This data article describes data from an Our Voice citizen science data collection aiming at identifying elements that facilitate or hinder physical activity among adolescents in a medium sized city in Sweden. Twenty-four adolescents from two neighborhoods with low socioeconomic status in Sweden used the Stanford Healthy Neighborhood Discovery Tool app on their phones to take photographs and record audio narratives of aspects of their neighborhood that they perceived as facilitating or hindering their physically activity. In total, 186 photos of the neighborhood elements were taken by the adolescents and thereafter the research group categorized the photos into a final set of 16 elements of which 12 described the built environment and 4 the social environment. The data collection included the combination of the following data collected using the app: photographs, geocoded data of where the photographs were taken, recorded narratives describing the photographs, positive and negative neighborhood attributes (portrayed as a happy or sad “smiley face”), and an 8-item survey. In addition, we used official statistics from the City of Västerås describing the two neighborhoods as well as the whole city. This data article is associated with the article titled “Using citizen science to understand the prerequisites for physical activity among adolescents in low socioeconomic status neighborhoods - the NESLA study”
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7. |
- Elter, Zsolt, et al.
(author)
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Pressurized water reactor spent nuclear fuel data library produced with the Serpent2 code
- 2020
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In: Data in Brief. - : Elsevier BV. - 2352-3409. ; 33
-
Journal article (peer-reviewed)abstract
- The paper describes a data library containing material composition of spent nuclear fuel. The data is extracted from burnup and depletion calculations with the Serpent2 code. The simulations were done with a PWR fuel pin cell geometry, for both initial UO2 and MOX fuel load for a wide range of initial enrichments (IE) or initial plutonium content (IPC), discharge burnup (BU) and cooling time (CT).The fuel library contains the atomic density of 279 nuclides (fission products and actinides), the total spontaneous fission rate, total photon emission rate, activity and decay heat at 789,406 different BU, CT, IE configurations for UO2 fuel and at 531,991 different BU, CT, IPC configurations for MOX fuel. The fuel library is organized in a publicly available comma separated value file, thus its further analysis is possible and simple.
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8. |
- Gander, Pierre, 1971, et al.
(author)
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A social differential outcomes learning task: Performance, EEG, and questionnaire data
- 2020
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In: Data in Brief. - : Elsevier BV. - 2352-3409. ; 33
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Journal article (peer-reviewed)abstract
- This article contains performance data, questionnaire ratings, and EEG data from a differential outcomes learning task from two experiments. In both experiments, the standard differential outcomes learning task was extended to involve a social dimension, in order to capture how people can learn from others by observation. In Experiment 1 (N=20), using a within-subjects design, participants learned pairings of image stimuli in four conditions: 1) individual-differential outcomes, 2) individual-non-differential outcomes, 3) social-differential outcomes, and 4) social-non-differential outcomes. The social condition had a screen-captured video recording of the outcomes (but not the actions themselves) of another person performing the task. During the task, the performance of the participants was measured. After the task, participants rated their experience in a questionnaire. The procedure for Experiment 2 (N=33) was similar to Experiment 1, but with a stronger social manipulation using a video of another person's face showing facial expressions reflecting the outcomes. In addition, EEG was measured while performing the task. For more insight, please see Vicarious value learning: Knowledge transfer through affective processing on a social differential outcomes task (Rittmo et al., 2020).
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9. |
- Ghandriz, Toheed, 1982, et al.
(author)
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Optimization data on total cost of ownership for conventional and battery electric heavy vehicles driven by humans and by Automated Driving Systems
- 2020
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In: Data in Brief. - : Elsevier BV. - 2352-3409. ; 30
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Journal article (peer-reviewed)abstract
- In road freight transport, the emerging technologies such as automated driving systems improve the mobility, productivity and fuel efficiency. However, the improved efficiency is not enough to meet environmental goals due to growing demands of transportation. Combining automated driving systems and electrified propulsion can substantially improve the road freight transport efficiency. However, the high cost of the battery electric heavy vehicles is a barrier hindering their adoption by the transportation companies. Automated driving systems, requiring no human driver on–board, make the battery electric heavy vehicles competitive to their conventional counterparts in a wider range of transportation tasks and use cases compared to the vehicles with human drivers. The presented data identify transportation tasks where the battery electric heavy vehicles driven by humans or by automated driving systems have lower cost of ownership than their conventional counterparts. The data were produced by optimizing the vehicle propulsion system together with the loading/unloading schemes and charging powers, with the objective of minimizing the total cost of ownership on 3072 different transportation scenarios, according to research article “Impact of automated driving systems on road freight transport and electrified propulsion of heavy vehicles” (Ghandriz et al., 2020). The data help understanding the effects of traveled distance, road hilliness and vehicle size on the total cost of ownership of the vehicles with different propulsion and driving systems. Data also include sensitivity tests on the uncertain parameters.
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10. |
- Holdfeldt, André, et al.
(author)
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Data showing effects of a PI3K-delta inhibitor on neutrophil superoxide production during FPR2 activation and reactivation
- 2020
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In: Data in Brief. - : Elsevier BV. - 2352-3409. ; 32
-
Journal article (peer-reviewed)abstract
- Reactive oxygen species (ROS) generated by the NADPH oxidase are crucial for antimicrobial host defense and also play a role in the regulation of inflammatory processes. Signals generated by formyl peptide receptor 2 (FPR2) activate the neutrophil ROS generating NADPH oxidase; such signals are mediated when the receptors bind an activating agonist, as well as when agonist desensitized FPR2 are reactivated by the receptor for platelet-activating factor (PAF). We present data on the effects of Idelalisib, a specific inhibitor for the PI3K delta isoform, on ROS production during FPR2 activation and reactivation by PAF, respectively. Neutrophils were isolated from peripheral blood of healthy adults obtained from the blood bank at Sahlgrenska University Hospital and ROS release was measured using isoluminol-amplified chemiluminescence. (C) 2020 The Authors. Published by Elsevier Inc.
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11. |
- Jansson, Peter, 1971-, et al.
(author)
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Data from calorimetric decay heat measurements of five used PWR 17x17 nuclear fuel assemblies
- 2020
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In: Data in Brief. - : Elsevier BV. - 2352-3409. ; 28
-
Journal article (peer-reviewed)abstract
- Raw data from calorimetric measurements of five nuclear fuel assemblies of the PWR 17x17 type are provided. Measurements of the temperature both inside a calorimeter, in which the fuel assembly was placed, as well as outside, were performed as a function of time while water circulating inside the calorimeter heats up from radiation emitted in the radioactive decay of material in the fuel assembly. The data contain also measurements of dose rate in the water outside the calorimeter. Data from 38 measurements using an electrically heated model of a fuel assembly are also provided to be used for, e.g.¸ calibration.The data can be used for validation of computer codes used for modelling of nuclear systems used for, e.g. nuclear reactors, storage and transport of nuclear fuel or systems for geological disposal.
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12. |
- Jansson, Peter, et al.
(author)
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Time stamped list mode data from gamma-ray spectroscopic measurements on 47 nuclear fuel assemblies performed at Clab, Sweden, September 2016 through March 2019
- 2020
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In: Data in Brief. - : Elsevier BV. - 2352-3409. ; 31
-
Journal article (peer-reviewed)abstract
- Using a high-purity Germanium gamma-ray energy spectroscopic detector system, time-stamped list-mode data sets were acquired during axial scanning of 19 boiling water reactor (BWR) and 28 pressurized water reactor (PWR) type of nuclear fuel assemblies.The data sets were collected during two measurements campaigns in September 2016 and March 2019 at the Central Interim Storage Facility for Spent Nuclear (Clab) in Sweden. A certified calibration source of 137Cs was positioned along the central line of sight between the measured fuel assembly and the detector. Data sets from measurements with only the calibration source and other background sources, i.e. without a nuclear fuel assembly present, are also included.The list-mode structure of the measured data allows for an axially-resolved as well as energy-spectral resolved intensity of nuclide-specific gamma lines emitted from the spent nuclear fuel. Data presented here can be used e.g. for validation of gamma-ray transport simulation tools or for development of methods to estimate parameters of the spent nuclear fuel based on data from gamma-ray spectroscopy.
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13. |
- Kastrati, Zenun, 1984-, et al.
(author)
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WET : Word embedding-topic distribution vectors for MOOC video lectures dataset
- 2020
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In: Data in Brief. - : Elsevier. - 2352-3409. ; 28, s. 1-6
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Journal article (peer-reviewed)abstract
- In this article, we present a dataset containing word embeddings and document topic distribution vectors generated from MOOCs video lecture transcripts. Transcripts of 12,032 video lectures from 200 courses were collected from Coursera learning platform. This large corpus of transcripts was used as input to two well-known NLP techniques, namely Word2Vec and Latent Dirichlet Allocation (LDA) to generate word embeddings and topic vectors, respectively. We used Word2Vec and LDA implementation in the Gensim package in Python. The data presented in this article are related to the research article entitled âIntegrating word embeddings and document topics with deep learning in a video classification frameworkâ [1]. The dataset is hosted in the Mendeley Data repository [2].
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14. |
- Koch, Felix-Sebastian, 1977-, et al.
(author)
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Data and analysis script for infant and adult eye movement in an adapted ocular-motor serial reaction time task assessing procedural memory
- 2020
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In: Data in Brief. - : ELSEVIER. - 2352-3409. ; 29
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Journal article (peer-reviewed)abstract
- This article provides a description of eye movement data collected during an ocular-motor serial reaction time task. Raw gaze data files for 63 infants and 24 adults along with the data processing and analysis script for extracting saccade latencies, summarizing participants performance, and testing statistical differences, are hosted on Open Science Framework (OSF). Files (in Matlab format) available for download allow for replication of the results reported in "Procedural memory in infancy: Evidence from implicit sequence learning in an eye-tracking paradigm" [1]. (C) 2020 The Authors. Published by Elsevier Inc.
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15. |
- Krause, M. S., et al.
(author)
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Survey data on voluntary nature conservation commitments of German businesses and their perceptions towards conservation credits
- 2020
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In: Data in Brief. - : Elsevier BV. - 2352-3409. ; 33
-
Journal article (peer-reviewed)abstract
- To preserve biodiversity and ecosystem services, company engagement is crucial. However, available data on manager views and perceptions regarding nature conservation in particular is rare. The presented survey data gives insights into current levels and forms of business commitments for nature conservation. The data contributes to understanding business attitudes towards voluntary conservation action and includes information about factors that influence their engagement. Moreover, the data informs about manager perceptions towards the concept of nature conservation credits and, as such, allows for an evaluation of a certified biodiversity and ecosystem services market. Importantly, the dataset contains essential company characteristics to put responses into greater context. The scope of the survey is limited to German companies from secondary and tertiary sectors. Companies were sampled through proportional stratified random sampling based on size and location. The data was collected through a self-administered online-survey, conducted in 2019. The database comprises responses of 747 companies that logged into the online system. The survey data were in part analysed through structural equation modelling for an investigation of factors that drive voluntary conservation commitments [1]. Related to this analysis, a subset of 618 companies is available that provided sufficiently completed questionnaires. Both datasets, i.e. the raw data as well as the first subset used for analysis, are hosted in the public repository Open Research Data of the Leibniz Centre for Agricultural Landscape Research (ZALF), Germany. The repository also stores all coding information as well as the questionnaire: https://www.doi.org/10.4228/ZALF.DK.149. The dataset can be used, for example, by researchers from the field of environmental business management and strategy.
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16. |
- Kriegler, Theresa, et al.
(author)
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Supporting data on prion protein translocation mechanism revealed by pulling force studies
- 2020
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In: Data in Brief. - : Elsevier BV. - 2352-3409. ; 31
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Journal article (peer-reviewed)abstract
- The Prion protein (PrP) is a highly conserved cell surface glycoprotein. To enter the secretory pathway, the PrP precursor relies on the Sec61 complex and multiple accessory factors all gathering at the membrane of the Endoplasmic reticulum (ER). PrP topogenesis results in the formation of different PrP isoforms. Aside from the typical secretory variant (SecPrP) different pathognomonic, membrane-embedded variants (NtmPrP and CtmPrP) that are associated with neurodegenerative diseases can be found [1]. In this article, we provide supportive data related to “Prion Protein Translocation Mechanism Revealed by Pulling Force Studies” (Kriegler et al., May 2020)[2], where we utilize Xbp1 arrest peptide (AP)-mediated ribosomal stalling to study the co-translational folding experienced by PrP during its insertion into the ER. We measure translocation efficiency and characterize the force exerted on PrP nascent chain so called “pulling force profile”. Here, we describe the method of AP-mediated ribosomal stalling assay together with additional experimental data to the main article. Furthermore, we describe the combination of AP-mediated ribosomal stalling and semi-permeabilized Hela cells (SPCs) as ER membrane source. Using this experimental set-up one can directly determine the contribution of a specific membrane component, e.g. subunits of the ER protein translocase, as pulling factor exerting force on the PrP nascent chain.The data presented here covers (a) the SDS-PAGE gel images visualized by autoradiography, (b) quantification of the different populations of PrP species observed in the AP-mediated ribosomal stalling method, and (c) calculation formulas of the pulling force profiles measured in SPCs in comparison to dog pancreas microsomes as ER membrane donor. Finally, Western Blot analysis and quantification of siRNA knockdown levels compared to control conditions of various translocation components are shown.
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17. |
- Lagerkvist, Carl-Johan
(author)
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Experimental and survey-based data on willingness to pay for seafood safety and environmental sustainability certification in Nigeria
- 2020
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In: Data in Brief. - : Elsevier BV. - 2352-3409. ; 30
-
Journal article (peer-reviewed)abstract
- Aquatic foods, including fish, are a substantial component of animal source foods globally, and make a critical nutritional contribution to diets in many contexts. In the global North, concern among consumers and regulators over the safety and environmental sustainability of seafood, particularly in developed nations, has led to the development of increasingly stringent seafood safety standards. While such standards may constitute regularity, logistical, and economic barriers to participation in export markets by small-scale producers, they have in other contexts catalysed upgrades to production and post-harvest handling practices within value chains associated with both capture fisheries and aquaculture. The health burden of foodborne illnesses is a major concern in developing countries. As incomes rise, consumers in developing countries are increasingly willing to pay a premium for safer and environmentally sustainable foods. However, there is little empirical evidence on consumers' willingness to pay for seafood safety in developing countries, particularly in sub-Saharan Africa. Data on demand for seafood safety and environmental sustainability certification in African countries are largely unavailable in the public domain. In this paper, we describe data collected in Lagos State, Nigeria in October and November 2019. Experiments in the form of Becker-DeGroote-Marschak (BDM) auction mechanism, and post experiment surveys were conducted with 200 fish consumers in fish markets. These data can be used to assess whether consumers' demand for safe and healthy seafood from local markets can be harnessed to generate positive economic returns to producers. (C) 2020 The Author(s). Published by Elsevier Inc.
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18. |
- Landberg, Göran, 1963, et al.
(author)
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Characterization of cell-free breast cancer patient-derived scaffolds using liquid chromatography-mass spectrometry/mass spectrometry data and RNA sequencing data
- 2020
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In: Data in Brief. - : Elsevier BV. - 2352-3409. ; 31
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Journal article (peer-reviewed)abstract
- Patient-derived scaffolds (PDSs) generated from primary breast cancer tumors can be used to model the tumor microenvironment in vitro . Patient-derived scaffolds are generated by repeated detergent washing, removing all cells. Here, we analyzed the protein composition of 15 decellularized PDSs using liquid chromatography-mass spectrometry/mass spectrometry. One hundred forty-three proteins were detected and their relative abundance was calculated using a reference sample generated from all PDSs. We performed heatmap analysis of all the detected proteins to display their expression patterns across different PDSs together with pathway enrichment analysis to reveal which processes that were connected to PDS protein composition. This protein dataset together with clinical information is useful to investigators studying the microenvironment of breast cancers. Further, after repopulating PDSs with either MCF7 or MDA-MB-231 cells, we quantified their gene expression profiles using RNA sequencing. These data were also compared to cells cultured in conventional 2D conditions, as well as to cells cultured as xenografts in immune-deficient mice. We investigated the overlap of genes regulated between these different culture conditions and performed pathway enrichment analysis of genes regulated by both PDS and xenograft cultures compared to 2D in both cell lines to describe common processes associated with both culture conditions. Apart from our described analyses of these systems, these data are useful when comparing different experimental model systems. Downstream data analyses and interpretations can be found in the research article "Patient-derived scaffolds uncover breast cancer promoting properties of the microenvironment" [1] . (C) 2020 The Authors. Published by Elsevier Inc.
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19. |
- Nobre, Alexandre de P, et al.
(author)
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High-density scalp EEG data acquired in an inattentional blindness paradigm with background Gestalt stimuli
- 2020
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In: Data in Brief. - : Elsevier BV. - 2352-3409. ; 28, s. 104901-104901
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Journal article (peer-reviewed)abstract
- Behavioral and electroencephalography (EEG) data were analyzed from 30 participants performing a demanding, attention-capturing task in which they had to detect an occasional decrement of luminance of small discs. Crucially, numerous white segments in the background were presented either in random orientations or configuring a contour shape of a square or a diamond. The participants' awareness of these background configurations was tested with a questionnaire after the first and second sessions. Based on the questionnaire responses, participants were divided into "aware" and "unaware" groups. These data may be of interest to researchers who wish to understand attentional effects on Gestalt integration processes, as well as luminance discrimination.
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20. |
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21. |
- Pakpour, Amir H., et al.
(author)
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A population-based nationwide dataset concerning the COVID-19 pandemic and serious psychological consequences in Bangladesh
- 2020
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In: Data in Brief. - : Elsevier. - 2352-3409. ; 33
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Journal article (peer-reviewed)abstract
- This paper presents the dataset concerning knowledge, preventive behavior, psychological consequences, and suicidal behavior regarding the COVID-19 pandemic in Bangladesh. Data were collected through an online based cross-sectional survey between April 1 and April 10 in 64 districts at the early stage of the COVID-19 pandemic in Bangladesh. A total of 10,067 participants' data were recruited for analysis. The survey contained items concerning (i) socio-demographic information, (ii) knowledge concerning COVID-19, (iii) behavior towards COVID-19, (iv) lockdown and economic issues, (v) assessment of fear of COVID-19, (vi) assessment of insomnia, (vii) assessment of depression, and (viii) assessment of suicidal ideation. Data were analyzed utilizing SPSS (version 22) and are represented as frequencies and percentages based on responses to the whole survey. Given that the data were collected across the whole nation, government authorities and healthcare policymakers can use the data to develop various models and/or policies regarding preventive strategies and help raise awareness through health education towards COVID-19.
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22. |
- Pokutta, Dalia A., et al.
(author)
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Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) Sr-87/Sr-86 isotope data from scythian Iron age barrows in Altai, Russia
- 2020
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In: Data in Brief. - : Elsevier BV. - 2352-3409. ; 29
-
Journal article (peer-reviewed)abstract
- This paper reports LA-ICP-MS Sr-87/Sr-86 isotopic data collected from archaeological human remains uncovered in Manzherok region, Altai Republic, Russian Federation (Mobility of nomads in central Asia: chronology and Sr-87/Sr-86 isotope evidence from the Pazyryk barrows of northern Altai, Russia [1]. The skeletal remains derive from Scythian barrows dated to 6th - 3rd century BC located at Chultukov Log 1 cemetery. The Chultukov Log cemetery, located approximately 470km south of Novosibirsk, is considered the biggest nomadic burial ground in the Upper Altai and the Sayan Mountains. To enrich the information on prehistoric mobility of ancient nomadic populations in Central Asia, strontium isotopic data were collected using a Nu plasma (II) MC-ICP-MS equipped with ESI NWR193-based laser ablation system from premolar teeth of 8 adult individuals (4 males and 4 females), associated mainly with the Pazyryk culture. Additionally, we report bioavailable strontium data from single Equus caballus specimen (found at Chultukov Log 9 settlement) from Manzherok territory. In this study we have successfully applied and tested new in-depth decontamination protocol for total (<95%) removal of contaminants, necrotic tissue and dental calculus in archaeological materials based on a clinical irrigation procedure with NaOCl and EDTA. Strontium LA-ICP-MS Sr-87/Sr-86 isotopic data presented in this paper were obtained from prehistoric human teeth previously decontaminated according to this method. These data will provide valuable resources for isotopic analyses of prehistoric transportation systems in Central Asia, including residential mobility of ancient nomads inhabiting steppe zone, Mongolia and NW China.
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23. |
- Qasim, Muhammad, et al.
(author)
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Dataset of knowledge, attitude, practices and psychological implications of healthcare workers in Pakistan during COVID-19 pandemic
- 2020
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In: Data in Brief. - : Elsevier. - 2352-3409. ; 32
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Journal article (peer-reviewed)abstract
- The COVID-19 pandemic has created a global health emergency and has a huge impact on the health care workers, especially on their mental health. The dataset presented was an assessment of COVID-19 related knowledge, attitude, practices and its effects on the mental health of frontline healthcare workers in Pakistan. The data were collected using a snowball sampling technique. A questionnaire was developed assessing sociodemographic characteristics (6 items), knowledge (11 items), attitude (5 items), practices (6 items), information sources (1 item) and psychological implications (12 items) and distributed using online tools. The dataset includes 476 healthcare workers in Pakistan. The dataset will help to prevent and curb the spread of COVID-19 among health workers and contribute to policymakers. Furthermore, our dataset provides detailed insights into different risk factors of psychological problems, and it may be served as the reference for various in-depth surveys.
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24. |
- Rizinjirabake, Fabien, et al.
(author)
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Data for assessment of leached dissolved organic carbon in watersheds
- 2020
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In: Data in Brief. - : Elsevier BV. - 2352-3409. ; 32
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Journal article (peer-reviewed)abstract
- (“Dissolved organic carbon leaching flux in a mixed agriculture and forest watershed in Rwanda” [1]). This article presents data of leached dissolved organic carbon (LDOC), stream water dissolved organic carbon), rainfall amount (Ra), rainfall intensity (Ri), rainfall soil storage (S), runoff (Q), and soil properties such as total organic carbon (TOC), total nitrogen (TN), cation exchange capacity (CEC), and soil texture data collected in the Rukarara River Watershed (RRW), a tropical watershed. All these data were used to analyze leached dissolved organic carbon (LDOC) fluxes in the watershed and their relationship with stream DOC. LDOC and soil properties data were collected at three sites in multiple plots per site located in natural forest (NF), tea plantations (TP), plantation forests (PF), and croplands (CL). Twenty-three plots in total were sampled to collect LDOC data. Soil properties data were analyzed from soil samples collected nearby the plots. Soil texture elements data were used to calculate soil porosity and saturated hydraulic conductivity (Ks). Data of stream DOC were analyzed from water samples collected and analyzed in the laboratory using a TOC analyzer. Rainfall data were recorded within the RRW using tipping bucket rain gauges installed at three sites. These rainfall data were used to calculate rainfall intensity, potential surface runoff, and rainfall soil storage.
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25. |
- Saadeh, O., et al.
(author)
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Technoeconomic data adopted for the development of a long-term electricity supply model for the Hashmite Kingdome of Jordan
- 2020
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In: Data in Brief. - : Elsevier. - 2352-3409. ; 30
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Journal article (peer-reviewed)abstract
- Electrical generation in Jordan currently relies on imported fossil fuels. In the past, most imported fossil fuels were subsidised by neighbouring countries through grants and aid. This has led to a regulated market, with subsidised low-cost electrical energy consumers, and the government being the sole buyer and seller of electricity. With the ageing of the national electrical infrastructure, political instability in the region, and lack of funds for direct investment, other options needed to be pursued. Long term Power Purchase Agreements (PPA) were granted to Independent Power Producers (IPP) to encourage investment in capacity and infrastructure. In addition, long-term fuel contracts were signed to secure steady flow of primary fuel sources. Over the past few years, renewable energy penetration has increased rapidly, but without proper planning or taking into consideration long term PPA and fuel contracts. Data in regard to the current infrastructure, renewable energy technology, signed energy commitments and system operation assumptions are described in this article, which may be used for modelling and analysis. The Data were collected from annual reports from the different energy related entities in Jordan.
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26. |
- Strid Holmertz, Alexander, et al.
(author)
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Data describing expression of formyl peptide receptor 2 in human articular chondrocytes
- 2020
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In: Data in Brief. - : Elsevier BV. - 2352-3409. ; 31
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Journal article (peer-reviewed)abstract
- The formyl peptide receptor 2 (FPR2) belongs to the family of seven-transmembrane G protein-coupled receptors (GPCR) and are expressed by many different cells but mainly studied in immune cells. FPR2 is involved in host defense against bacterial infections and clearance of damaged cells through the oxidative burst and chemotaxis of neutrophils. In addition, FPR2 has also been implicated as an immunomodulator in sterile inflammations, e.g. inflammatory joint diseases. Here we present data regarding FPR2 expression in human articular chondrocytes, isolated from healthy individuals and osteoarthritic patients, on both mRNA and protein level using qPCR and Imagestream flow cytometry. We also present data after receptor stimulation and monitoring of production of nitric oxide, reactive oxygen species, IL-6, IL-8 and MMP-3. The presented data show that human articular chondrocytes from patients with osteoarthritis as well as from healthy individuals express FPR2 both at mRNA and protein level. The biological relevance of FPR2 expression in chondrocytes needs to be further investigated. (c) 2020 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license. ( http://creativecommons.org/licenses/by-nc-nd/4.0/ )
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27. |
- Svahn, Sara L, et al.
(author)
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Spleen proteomics data from high fat diet fed mice
- 2020
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In: Data in Brief. - : Elsevier BV. - 2352-3409. ; 32
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Journal article (peer-reviewed)abstract
- The composition of the diet affects many processes in the body, including body weight and endocrine system. We have previously shown that dietary fat also affects the immune system. Mice fed high fat diet rich in polyunsaturated fatty acids survive S. aureus infection to a much greater extent than mice fed high fat diet rich in saturated fatty acids. Here we present data regarding the dietary effects on protein expression in spleen from mice fed three different diets, I) low fat/chow diet (LFD, n = 4), II) high fat diet rich in saturated fatty acids (HFD-S, n = 4) and III) high fat diet rich in polyunsaturated fatty acids (HFD-P, n = 4). We performed mass spectrophotometry based quantitative proteomics analysis of isolated spleen by implementing the isobaric tags for relative and absolute quantification (iTRAQ) approach. Mass spectrometry data were analyzed using Proteome Discoverer 2.4 software using the search engine mascot against Mus musculus in SwissProt. 924 proteins are identified in all sets (n = 4) for different dietary effects taken for statistical analysis using Qlucore Omics Explorer software. Only 20 proteins were found to be differentially expressed with a cut-off value of false discovery rate < 0.1 (q-value) when comparing HFD-S and HFD-P but no differentially expressed proteins were found when LFD was compared with HFD-P or HFD-S. The identified proteins and statistical analysis comparing HFD-S and HFD-P diets are available as a supplementary file S1. We identified a subset of proteins that showed an inverse expression pattern between two high fat diets. These differentially expressed proteins were further classified by gene ontology for their role in biological processes and molecular functions. Mass spectrometry raw data are also available via ProteomeXchange with identifier PXD020365.
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28. |
- Tzanetos, Alexandros, et al.
(author)
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A comprehensive database of Nature-Inspired Algorithms
- 2020
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In: Data in Brief. - : Elsevier. - 2352-3409. ; 31
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Journal article (peer-reviewed)abstract
- These data contain a comprehensive collection of all Nature-Inspired Algorithms. This collection is a result of two corresponding surveys, where all Nature-Inspired Algorithms that have been published to-date were gathered and preliminary data acquired. The rapidly increasing number of nature-inspired approaches makes it hard for interested researchers to keep up. Moreover, a proper taxonomy is necessary, based on specific features of the algorithms. Different taxonomies and useful insight into the application areas that the algorithms have coped with is given through these data. This article provides a detailed description of the above mentioned collection.
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29. |
- Ulleryd, Marcus A, et al.
(author)
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RNA sequencing data describing transcriptional changes in aorta of ApoE-/mice after alpha 7 nicotinic acetylcholine receptor (alpha 7nAChR) stimulation
- 2020
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In: Data in Brief. - : Elsevier BV. - 2352-3409. ; 30
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Journal article (peer-reviewed)abstract
- This manuscript is a companion paper to Ulleryd M.U. et al., "Stimulation of alpha 7 nicotinic acetylcholine receptor (alpha 7nAChR) inhibits atherosclerosis via immunomodulatory effects on myeloid cells" Atherosclerosis, 2019 [1]. Data shown here include RNA sequencing data from whole aorta of ApoE-/- mice fed high fat diet and treated with the alpha 7 nicotinic acetylcholine receptor (alpha 7nAChR) agonist AZ6983 for 8 weeks using subcutaneously implanted osmotic minipumps. Here we present the top gene networks affected by treatment with AZ6983, as well as the up- and down-regulated genes in aorta after treatment. Further, a URL link to the RNA sequencing datasets submitted to GEO is included. (C) 2020 The Authors. Published by Elsevier Inc.
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30. |
- Zhang, Kai, et al.
(author)
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Datasets for high hydrogen content syngas fuel variability effect on combustion physicochemical properties
- 2020
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In: Data in Brief. - : Elsevier BV. - 2352-3409. ; 29
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Journal article (peer-reviewed)abstract
- The dataset presented in this article is related to the uncertainty quantification of fuel variability effect on high hydrogen content syngas combustion physicochemical properties. The 1D flame data included in this dataset are collected using PREMIX module available in Chemkin-Pro. Inputs to and outputs collected from the PREMIX module are generated and post-processed using UQTk-3.0.4, an open-access uncertainty quantification (UQ) toolkit developed at Sandia National Laboratories. The 1D flame data here refers to the calculation of flame speed, flame temperature, NO emission, etc. using three detailed chemical mechanisms: the GRI-Mech 3.0, the San Diego, and the NUI Galway Mechanism. The main analysis performed using UQTk-3.0.4 focuses on obtaining main and joint sensitivity effects (Sobol Indices) of uniformly distributed fuel uncertainty on 1D premixed physicochemical property. Other parameters such as the resulted probability density function or fluctuation of these properties are also explored. This new and original dataset is suitable for further analyzing fuel variability effect on other significant flame controlling parameters such as Karlovitz number, flame thickness, etc. in the discipline of turbulent combustion simulation.
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