| 1. |
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| 2. |
- Arvidsson, Malou, et al.
(författare)
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An annotated high-content fluorescence microscopy dataset with Hoechst 33342-stained nuclei and manually labelled outlines
- 2023
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Ingår i: Data in Brief. - : Elsevier BV. - 2352-3409. ; 46
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Tidskriftsartikel (refereegranskat)abstract
- Automated detection of cell nuclei in fluorescence microscopy images is a key task in bioimage analysis. It is essential for most types of microscopy-based high-throughput drug and genomic screening and is often required in smaller scale experiments as well. To develop and evaluate algorithms and neural networks that perform instance or semantic segmentation for detecting nuclei, high quality annotated data is essential. Here we present a benchmarking dataset of fluorescence microscopy images with Hoechst 33342-stained nuclei together with annotations of nuclei, nuclear fragments and micronuclei. Images were randomly selected from an RNA interference screen with a modified U2OS osteosarcoma cell line, acquired on a Thermo Fischer CX7 high-content imaging system at 20x magnification. Labelling was performed by a single annotator and reviewed by a biomedical expert. The dataset, called Aitslab-bioimaging1, contains 50 images showing over 2000 labelled nuclear objects in total, which is sufficiently large to train well-performing neural networks for instance or semantic segmentation. The dataset is split into training, development and test set for user convenience.
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| 3. |
- Brabec, Jan, et al.
(författare)
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Coregistered histology sections with diffusion tensor imaging data at 200 µm resolution in meningioma tumors
- 2023
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Ingår i: Data in Brief. - 2352-3409. ; 48
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Tidskriftsartikel (refereegranskat)abstract
- A significant problem in diffusion MRI (dMRI) is the lack of understanding regarding which microstructural features account for the variability in the diffusion tensor imaging (DTI) parameters observed in meningioma tumors. A common assumption is that mean diffusivity (MD) and fractional anisotropy (FA) from DTI are inversely proportional to cell density and proportional to tissue anisotropy, respectively. Although these associations have been established across a wide range of tumors, they have been challenged for interpreting within-tumor variations where several additional microstructural features have been suggested as contributing to MD and FA.To facilitate the investigation of the biological underpinnings of DTI parameters, we performed ex-vivo DTI at 200 µm isotropic resolution on 16 excised meningioma tumor samples. The samples exhibit a variety of microstructural features because the dataset includes meningiomas of six different meningioma types and two different grades. Diffusion-weighted signal (DWI) maps, DWI maps averaged over all directions for given b-value, signal intensities without diffusion encoding (S0) as well as DTI parameters: MD, FA, in-plane FA (FAIP), axial diffusivity (AD) and radial diffusivity (RD), were coregistered to Hematoxylin & Eosin- (H&E) and Elastica van Gieson-stained (EVG) histological sections by a non-linear landmark-based approach.Here, we provide DWI signal and DTI maps coregistered to histology sections and describe the pipeline for processing the raw DTI data and the coregistration. The raw, processed, and coregistered data are hosted by Analytic Imaging Diagnostics Arena (AIDA) data hub registry, and software tools for processing are provided via GitHub. We hope that data can be used in research and education concerning the link between the meningioma microstructure and parameters obtained by DTI.
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| 4. |
- Carmona, Eric, 1988, et al.
(författare)
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A dataset of organic pollutants identified and quantified in recycled polyethylene pellets
- 2023
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Ingår i: DATA IN BRIEF. - 2352-3409. ; 51
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Tidskriftsartikel (refereegranskat)abstract
- Plastics are produced with a staggering array of chemical compounds, with many being known to possess hazardous properties, and others lacking comprehensive hazard data. Furthermore, non-intentionally added substances can contaminate plastics at various stages of their lifecycle, resulting in recycled materials containing an unknown number of chemical compounds at unknown concentrations. While some national and regional regulations exist for permissible concentrations of hazardous chemicals in specific plastic products, less than 1 % of plastics chemicals are subject to international regulation [1] . There are currently no policies mandating transparent reporting of chemicals throughout the plastics value chain or comprehensive monitoring of chemicals in recycled materials.The dataset presented here provides the chemical analysis of 28 samples of recycled High-Density Polyethylene (HDPE) pellets obtained from various regions of the Global South, along with a reference sample of virgin HDPE. The analysis comprises both Target and Non-Targeted Screening approaches, employing Liquid Chromatography-High-Resolution Mass Spectrometry (LC-HRMS) and Gas Chromatography-High-Resolution Mass Spectrometry (GC-HRMS). In total, 491 organic compounds were detected and quantified, with an additional 170 compounds tentatively annotated. These com-pounds span various classes, including pesticides, pharmaceuticals, industrial chemicals, plastic additives. The results highlight the prevalence of certain chemicals, such as N-ethyl-o-Toluesulfonamide, commonly used in HDPE processing, found in high concentrations. The paper pro-vides a dataset advancing knowledge of the complex chemical composition associated with recycled plastics.
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| 5. |
- de Ávila, Renato Ivan, et al.
(författare)
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A proteomics dataset capturing myeloid cell responses upon cellular exposure to fungicides, adjuvants and fungicide formulations
- 2023
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Ingår i: Data in Brief. - : Elsevier BV. - 2352-3409. ; 46
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Tidskriftsartikel (refereegranskat)abstract
- Dendritic cells are the sentinels of the immune system, linking the innate and adaptive immune response. Myeloid and dendritic cell models have been successfully used in in vitro approaches to predict adverse outcomes such as skin sensitization. We here exposed a well-characterized human dendritic cell-like cell line to agricultural chemicals, including fungicide formulations, active ingredients, adjuvants and defined mixtures for 24 h to profile induced changes on protein levels. Cell pellets were harvested and prepared for bottom-up label-free analysis with peptide separation on an EASY-nano LC system 1200 coupled online with a QExactive HF-X mass spectrometer with data-dependent acquisition (DDA). The raw data files and processed quantitative data have been deposited to ProteomeXchange with the data identification number PXD034624 and are described here. The data in this article may serve as a resource for researchers interested in e.g. human toxicology, immunology, cell biology and pharmacology.
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| 6. |
- Fonseca, Catarina, et al.
(författare)
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Survey data of public awareness on climate change and the value of marine and coastal ecosystems
- 2023
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Ingår i: Data in Brief. - : Elsevier BV. - 2352-3409. ; 47
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Tidskriftsartikel (refereegranskat)abstract
- The long-term provision of ocean ecosystem services depends on healthy ecosystems and effective sustainable management. Understanding public opinion about marine and coastal ecosystems is important to guide decision-making and inform specific actions. However, available data on public perceptions on the interlinked effects of climate change, human impacts and the value and management of marine and coastal ecosystems are rare. This dataset presents raw data from an online, self-administered, public awareness survey conducted between November 2021 and February 2022 which yielded 709 responses from 42 countries. The survey was released in four languages (English, French, Spanish and Italian) and consisted of four main parts: (1) perceptions about climate change; (2) perceptions about the value of, and threats to, coasts, oceans and their wildlife, (3) perceptions about climate change response; and (4) socio-demographic information. Participation in the survey was voluntary and all respondents provided informed consent after reading a participant information form at the beginning of the survey. Responses were anonymous unless respondents chose to provide contact information. All identifying information has been removed from the dataset. The dataset can be used to conduct quantitative analyses, especially in the area of public perceptions of the interlinkages between climate change, human impacts and options for sustainable management in the context of marine and coastal ecosystems. The dataset is provided with this article, including a copy of the survey and participant information forms in all four languages, data and the corresponding codebook.
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| 7. |
- Ganeva, Dessislava, et al.
(författare)
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In-situ start and end of growing season dates of major European crop types from France and Bulgaria at a field level
- 2023
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Ingår i: Data in Brief. - 2352-3409. ; 51
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Tidskriftsartikel (refereegranskat)abstract
- Crop phenology data offer crucial information for crop yield estimation, agricultural management, and assessment of agroecosystems. Such information becomes more important in the context of increasing year-to-year climatic variability. The dataset provides in-situ crop phenology data (first leaves emergence and harvest date) of major European crops (wheat, corn, sunflower, rapeseed) from seventeen field study sites in Bulgaria and two in France. Additional information such as the sowing date, area of each site, coordinates, method and equipment used for phenophase data estimation, and photos of the France sites are also provided. The georeferenced ground-truth dataset provides a solid base for a better understanding of crop growth and can be used to validate the retrieval of phenological stages from remote sensing data.
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| 8. |
- Hongisto, Valtteri, et al.
(författare)
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Sound insulation dataset of 30 wooden and 8 concrete floors tested in laboratory conditions
- 2023
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Ingår i: Data in Brief. - : Elsevier Inc.. - 2352-3409. ; 49
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Tidskriftsartikel (refereegranskat)abstract
- In a Finnish-Swedish consortium project, a large amount of sound insulation tests was conducted for several intermediate floors in laboratory conditions to serve various scientific research questions. The dataset contains 30 wooden and 8 concrete constructions which are commonly used between apartments in multistorey buildings. Impact sound insulation was determined according to ISO 10140-3 standard using both tapping machine and rubber ball as standard sound sources. Airborne sound insulation was determined according to the ISO 10140-2 standard. The data are special since they have a broad frequency range: 20−5000 Hz. Data are reported in 1/3-octave frequency bands and the single-number values of ISO 717-1 and ISO 717-2 are also reported. Detailed construction drawings are available for all reported constructions. The data are highly valuable for research, education, and development purposes since all data were obtained in the same laboratory (Turku University of Applied Sciences, Turku, Finland), and all the constructions were built by the same installation team. © 2023 The Authors
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| 9. |
- Inostroza, Pedro, et al.
(författare)
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Dataset comprising pesticides, pharmaceuticals and personal care products, and industrial chemicals detected in streams and rivers of Central Chile
- 2023
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Ingår i: Data in Brief. - 2352-3409. ; 50
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Tidskriftsartikel (refereegranskat)abstract
- Chemical pollution caused by synthetic organic chemicals at low concentrations in the environment poses a growing threat to the ecological status of aquatic ecosystems. These chemicals are regularly released into surface waters through both treated and untreated effluents from wastewater treatment plants (WWTPs), agricultural runoff, and industrial discharges. Consequently, they accumulate in surface waters, distribute amongst environmental compartments according to their physicochemical properties, and cause adverse effects on aquatic organisms. Unfortunately, there is a lack of data regarding the occurrence of synthetic organic chemicals, henceforth micropollutants, in South American freshwater ecosystems, especially in Chile.To address this research gap, we present a comprehensive dataset comprising concentrations of 153 emerging chemicals, including pesticides, pharmaceutical and personal care products (PPCPs), surfactants, and industrial chemicals. These chemicals were found to co-occur in surface waters within Central Chile, specifically in the River Aconcagua Basin. Our sampling strategy involved collecting surface water samples from streams and rivers with diverse land uses, such as agriculture, urban areas, and natural reserves. For sample extraction, we employed an on-site large-volume solid phase extraction (LVSPE) device. The resulting environmental extracts were then subjected to wide-scope chemical target screening using gas chromatography and liquid chromatography high-resolution mass spectrometry (GC- and LC-HRMS).The dataset we present holds significant value in assessing the chemical status of water bodies. It enables comparative analysis of pollution fingerprints associated with emerging chemicals across different freshwater systems. Moreover, the data can be reused for environmental risk assessment studies. Its utilisation will contribute to a better understanding of the impact and extent of chemical pollution in aquatic ecosystems, facilitating the development of effective mitigation strategies.(c) 2023 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )
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| 10. |
- Lagerkvist, Carl-Johan
(författare)
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Triggering cognitive dissonance with textual information and images: Data from three experiments with meat-eaters
- 2023
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Ingår i: Data in Brief. - 2352-3409. ; 48
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Tidskriftsartikel (refereegranskat)abstract
- This article presents data from three experiments in which we triggered and measured cognitive dissonance in meat-eaters. Cognitive dissonance is a well-established concept in the social psychology literature; however, empirical measures are scarce. In all datasets, we used textual information and/or images related to meat consumption as means to trigger cognitive dissonance. Cognitive dissonance data was collected in Study 1 with a Likert scale, whereas Study 2 and 3 used a Semantic Bipolar scale. Each experiment was programmed with Qualtrics and consisted of four conditions. Data was collected online; Study 1 utilized social media to recruit participants while Study 2 and 3 were hosted on Prolific. All datasets contain items on participants' socio-demographic background, liking of different food products, cognitive dissonance, and a measure of meat avoidance. The data can be used to analyze the effect of information provision on cognitive dissonance and meat avoidance. Moreover, the relationship between socio-demographic variables and cognitive dissonance, as well as other exploratory purposes regarding meat avoidance can be explored. Furthermore, researchers can use the data to investigate differences between Likert scales and Semantic Bipolar scales. This data is related to the paper Can images and textual information lead to meat avoidance? The mediating role of cognitive dissonance [1]. (c) 2023 The Author(s). Published by Elsevier Inc.
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| 11. |
- Leander, John, 1976-, et al.
(författare)
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Dataset for damage detection retrieved from a monitored bridge pre and post verified damage
- 2023
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Ingår i: Data in Brief. - : Elsevier BV. - 2352-3409. ; 51
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Tidskriftsartikel (refereegranskat)abstract
- The Vänersborg Bridge in southwest Sweden is a single-leaf bascule bridge carrying railway traffic over a canal. The load consists of passing commuter trains, occasional freight trains and leaf openings to allow ships to pass on the canal. The bridge constructed from 1914 to 1916 was built by riveted truss members in steel. Over the years, several assessments and maintenance actions have been performed to keep the bridge in service. During autumn 2021, a long-term monitoring campaign was initiated with the installation of sensors to register the load effect and possible changes in the behaviour. In March 2023, the cloud-based service employed detected an abrupt change of behaviour. An emergency inspection revealed a large crack in one of the truss members in the counter-weight part. The published dataset contains sensor data from 64 registered bridge openings, comprising accelerations, strains, inclinations, and weather conditions. Data from before the fracture, during, and after are provided. During the bridge opening events, the data was recorded continuously with a sampling rate of 200 Hz. The evidence of damage in a real case scenario makes the dataset valuable for testing and evaluation of data-driven routines for infrastructure surveillance.
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| 12. |
- Marcelli, L., et al.
(författare)
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Dataset of night-time emissions of the Earth in the near UV range (290-430 nm), with 6.3 km resolution in the latitude range -51.6
- 2023
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Ingår i: Data in Brief. - : Elsevier BV. - 2352-3409. ; 48
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Tidskriftsartikel (refereegranskat)abstract
- The data presented in this article are related to the research paper entitled “Observation of night-time emissions of the Earth in the near UV range from the International Space Station with the Mini-EUSO detector” (Remote Sensing of Environment, Volume 284, January 2023, 113336, https://doi.org/10.1016/j.rse.2022.113336). The data have been acquired with the Mini-EUSO detector, an UV telescope operating in the range 290-430 nm and located inside the International Space Station. The detector was launched in August 2019, and it has started operations from the nadir-facing UV-transparent window in the Russian Zvezda module in October 2019. The data presented here refer to 32 sessions acquired between 2019-11-19 and 2021-05-06. The instrument consists of a Fresnel-lens optical system and a focal surface composed of 36 multi-anode photomultiplier tubes, each with 64 channels, for a total of 2304 channels with single photon counting sensitivity. The telescope, with a square field-of-view of 44°, has a spatial resolution on the Earth surface of 6.3 km and saves triggered transient phenomena with a temporal resolution of 2.5 µs and 320 µs. The telescope also operates in continuous acquisition at a 40.96 ms scale. In this article, large-area night-time UV maps obtained processing the 40.96 ms data, taking averages over regions of some specific geographical areas (e.g., Europe, North America) and over the entire globe, are presented. Data are binned into 0.1° × 0.1° or 0.05° × 0.05° cells (depending on the scale of the map) over the Earth's surface. Raw data are made available in the form of tables (latitude, longitude, counts) and.kmz files (containing the.png images). These are – to the best of our knowledge – the highest sensitivity data in this wavelength range and can be of use to various disciplines.
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| 13. |
- Metheney, Erica, et al.
(författare)
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GLD-SAIPAR Covid-19 Survey in Zambia Dataset
- 2023
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Ingår i: Data in Brief. - 2352-3409. ; 51
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Tidskriftsartikel (refereegranskat)abstract
- In March 2020, Zambia reported their first cases of Covid-19, with the government restricting non-essential travel, banning large public gatherings, and establishing emergency committees to spearhead efforts to contain the pandemic at a national level. The Governance and Local Development Institute (GLD) in collaboration with South African Institute for Policy and Research (SAIPAR) implemented a survey in 2020 to generate a dataset to provide better understanding of citizens' responses to such measures, and the impact of the pandemic on their individual lives and communities. To generate as complete a picture as possible of the local situations over time, we conducted two survey rounds. These rounds resulted in a total of 3925 completed surveys (1022 respondents took both rounds), gathering information on issues including knowledge of Covid-19; attitudes and fears surrounding health and economic impacts; social, economic, and health vulnerabilities; social distancing practices and other preventative measures. Particular attention was paid to the local variation in concerns over the social stigma, levels of enforcement, and engagement of different authorities.
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| 14. |
- Metheney, Erica, et al.
(författare)
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Zambian election panel survey: Dataset of responses before, near, and after 2021 elections
- 2023
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Ingår i: Data in Brief. - : Elsevier BV. - 2352-3409. ; 48
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Tidskriftsartikel (refereegranskat)abstract
- The Zambian Election Panel Survey (ZEPS) data allows for analysis of voter perceptions and choices in the August 2021 elections - and how these were affected by the tactics of the competing parties and candidates. The panel design provides an opportunity to study how, when and why former sup-porters of incumbent president Lungu 'defected' to support his rival, Hakainde Hichilema (HH) in 2021. This multistage panel survey, the first-of-its-kind in Africa, was implemented in three rounds; June 5 - July 5 (R1: n = 1665), July 15 - Aug 11 (R2: n = 1508), and Aug 25 - Oct 3 (R3: n = 1272). These time periods correspond to the early campaign period, late in the campaign period and immediate post-election period, respectively. The survey was conducted over the phone. Re-sponses were disproportionately from urban/peri-urban vot-ers in Central and Lusaka provinces and rural voters in East-ern and Muchinga provinces. 1764 unique responses were collected using SurveyToGo software from Dooblo. 1210 re-sponses were collected for all three rounds.
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| 15. |
- Mohammadigheymasi, Hamzeh, et al.
(författare)
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A data set of earthquake bulletin and seismic waveforms for Ghana obtained by deep learning
- 2023
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Ingår i: Data in Brief. - : Elsevier BV. - 2352-3409. ; 47, s. 108969-108969
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Tidskriftsartikel (refereegranskat)abstract
- The Ghana Digital Seismic Network (GHDSN) data, with six broadband sensors, operating in southern Ghana for two years (2012-2014). The recorded dataset is processed for simultaneous event detection and phase picking by a Deep Learning (DL) model, the EQTransformer tool. Here, the detected earthquakes consisting of supporting data, waveforms (including P and S arrival phases), and earthquake bulletin are presented. The bulletin includes the 559 arrival times (292 P and 267 S phases) and waveforms of the 73 local earthquakes in SEISAN format. The supporting data encompasses the preliminary crustal velocity models obtained from the joint inversion analysis of the detected hypocentral parameters. These parameters comprised of a 6- layer model of the crustal velocity (Vp and Vp/Vs ratio), incident time sequence, and statistical analysis of the detected earthquakes and hypocentral parameters analyzed and relocated by the updated crustal velocity and graphic representation of them a 3D live figure enlighting the seismogenic depth of the region. This dataset has a unique appeal for earth science specialists to analyze and reprocess the detected waveforms and characterize the seismogenic sources and active faults in Ghana. The metadata and waveforms have been deposited at the Mendeley Data repository
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| 16. |
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| 17. |
- Nilsson, Jens, 1970-, et al.
(författare)
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Swedish civil air traffic control dataset
- 2023
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Ingår i: Data in Brief. - : ELSEVIER. - 2352-3409. ; 48
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Tidskriftsartikel (refereegranskat)abstract
- The Swedish Civil Air Traffic Control (SCAT) dataset consists of 13 weeks of data collected from the area control in Sweden flight information region. The dataset consists of detailed data from almost 170,000 flights as well as airspace data and weather forecasts. The flight data includes system updated flight plans, clearances from air traffic control, surveillance data and trajectory prediction data. Each week of data is continuous but the 13 weeks are spread over one year to provide variations in weather and seasonal traffic patterns. The dataset does only include scheduled flights not involved in any incident reports. Sensitive data such as military and private flight has been removed.The SCAT dataset can be useful for any research related to air traffic control, e.g. analysis of transportation patterns, environmental impact, optimization and automation/AI.
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| 18. |
- Pakpour, Amir H., et al.
(författare)
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Large-scale dataset on health literacy, sleep hygiene behaviors, and mental well-being in the general population of Qazvin, Iran
- 2023
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Ingår i: Data in Brief. - : Elsevier. - 2352-3409. ; 48
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Tidskriftsartikel (refereegranskat)abstract
- The collected data included socio-demographic information and measurements of health literacy, e-health literacy, men-tal well-being, and sleep hygiene behaviors. The study aimed to provide insights regarding health literacy status and re-lated factors in the general population residing in Qazvin province, Iran. The findings of the study will assist health au-thorities and policy makers in developing and implementing effective interventions, which in turn, improving health lit-eracy in the community. Additionally, the findings can also aid health sector workers, including non-communicable dis-ease researchers, public health experts, health education spe-cialists, epidemiologists, and sociologists, in their work to improve health literacy and overall health outcomes among general population. Therefore, the present study used paper-pencil method with multi-stage cluster sampling to collect data. Trained research associates (n = 25) collected data from9775 people living in Qazvin province between January and April 2022. All the participants completed the study ques-tionnaires using self-reported paper-pencil mode.
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| 19. |
- Shtepliuk, Ivan
(författare)
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A comprehensive dataset on two-dimensional noble metals: Theoretical insights into physical properties and metal-support interactions
- 2023
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Ingår i: Data in Brief. - : ELSEVIER. - 2352-3409. ; 51
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Tidskriftsartikel (refereegranskat)abstract
- This paper presents a dataset offering profound insights into the formation and physical properties of two-dimensional (2D) noble metals under various configurations, with a pri-mary focus on their role as catalysts for the hydrogen evo-lution reaction (HER). These data are of significant value to catalysis researchers, materials scientists, and computational chemists, providing them with a detailed understanding of 2D noble metals' behavior as catalysts and enabling advance-ments in their respective studies. The dataset, thoughtfully structured and meticulously documented, comprises five pri-mary sections, each housing distinct content and analyses. It offers a comprehensive view of the substrate-mediated sta-bilization and physical properties of 2D noble metals, includ-ing silver (Ag), gold (Au), iridium (Ir), osmium (Os), palla-dium (Pd), platinum (Pt), rhodium (Rh), and ruthenium (Ru). The substrates utilized include bare Si-face 4H-SiC, buffer layer (BuL), and monolayer epitaxial graphene (MEG). The data collection process involves the use of the SIESTA code for density functional theory (DFT) calculations. The vdW-BH functional is consistently applied in conjunction with a double-zeta polarized (DZP) basis set, known for its reliability in capturing nuanced interactions with noble metals. Param -eters such as an energy shift of 200 meV and a force tol-erance of 0.02 eV/A are meticulously configured for accu- rate results. In-depth structural information, including opti-mized structures in top and side views and Cartesian coordi-nates for various substrate-metal configurations, is a central component of the dataset. These structural details are piv-otal for comprehending the physical properties of 2D noble metals. Furthermore, the dataset encompasses results from charge density difference (CDD) analyses, including cube files, planar-averaged CDD curves, and 3D CDD maps. These analyses provide essential data for understanding the elec-tronic properties of these materials. The dataset also includes outcomes from charge population analyses utilizing Hirsh-feld and Voronoi schemes. These analyses offer insights into structural parameters, Hirshfeld charge magnitudes on 2D metal layers, and various energy-related metrics, further en-hancing the dataset's richness. In addition to structural data, the dataset presents atomic structures in top and side views of free-standing and substrate-supported 2D noble metals af-ter hydrogen adsorption, along with corresponding Cartesian coordinates. Gibbs free energy (AGH*) data for hydrogen ad-sorption on both free-standing and substrate-supported 2D noble metals contribute to the dataset's depth. This meticu-lously curated dataset not only serves as a valuable resource for researchers exploring the properties and behaviors of 2D noble metals but also holds significant reuse potential. Re-searchers can employ this dataset to validate their computa-tional methods and models in catalysis research, enhancing the quality and reliability of their simulations. Furthermore, it serves as a possible educational tool, fostering hands-on learning for students and emerging researchers in the field of computational materials science and catalysis, thereby pro-moting methodological consistency within the scientific com-munity.(c) 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )
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| 20. |
- Sjölander, Andreas, Ph.D, 1983-, et al.
(författare)
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Experimental dataset to assess the structural performance of cracked reinforced concrete using Digital Image Correlation techniques with fixed and moving cameras
- 2023
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Ingår i: Data in Brief. - : Elsevier BV. - 2352-3409. ; 51
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Tidskriftsartikel (refereegranskat)abstract
- The infrastructure is in many countries aging and continuous maintenance is required to ensure the safety of the structures. For concrete structures, cracks are a part of the structure's life cycle. However, assessing the structural impact of cracks in reinforced concrete is a complex task. The purpose of this paper is to present a dataset that can be used to verify and compare results of the measured crack propagation in concrete with the well-known Digital Image Correlation (DIC) technique and with Crack Monitoring from Motion (CMfM), a novel photogrammetric algorithm that enables high accurate measurements with a non-fixed camera. Moreover, the data can be used to investigate how existing cracks in reinforced concrete could be implemented in a numerical model.The first potential area to use this dataset is structural engineering. The data can be used to verify non-linear material models used in a finite element (FE) software to simulate the structural response of reinforced concrete. In particular, the data can be used to investigate how existing cracks should be modelled in a FE model. The second potential area is within image processing techniques with a focus on DIC. Until recently, DIC suffered from one major disadvantage; the camera must be fixed during the entire period of data collection. Naturally, this decreases the flexibility and potential of using DIC outside the laboratory. In a recently published paper [1], an innovative photogrammetric algorithm (CMfM) that enables the use of a moving camera, i.e. a camera that is not fixed during data acquisition, was presented. The imagery of this dataset [2] was used to verify the potential of this algorithm and could be used to validate other approach for non-fixed cameras.The dataset presented in this paper includes data collected from a three-point bending test performed in a laboratory environment on uncracked and pre-cracked reinforced concrete beams. Structural testing was performed using a displacement-controlled set-up, which continuously recorded the force and the vertical displacement of a centric-placed loading piston. First, the response of three uncracked beams was recorded. Thereafter, photos of the resulting cracks were taken, and a detailed mapping was presented. Material properties for the concrete, e.g., compressive strength, are presented together with testing of the tensile capacity of the reinforcement and a compressive test of the soft fiber boards used at the support to ensure good contact between steel and concrete. Then, the structural response of the pre-cracked beams was tested. During this test, four fixed cameras were used to monitor the crack propagation at different locations on the beam. Images are presented at the start of the load sequences and at pre-defined load stops during the testing. Hence, the crack opening captured in the images can be correlated to the force-displacement data. Moreover, a non-fixed camera was used to capture additional imagery at the location of each fixed camera.
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| 21. |
- Strandberg, P. E., et al.
(författare)
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The Westermo network traffic data set
- 2023
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Ingår i: Data in Brief. - : Elsevier Inc.. - 2352-3409. ; 50
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Tidskriftsartikel (refereegranskat)abstract
- There is a growing body of knowledge on network intrusion detection, and several open data sets with network traffic and cyber-security threats have been released in the past decades. However, many data sets have aged, were not collected in a contemporary industrial communication system, or do not easily support research focusing on distributed anomaly detection. This paper presents the Westermo network traffic data set, 1.8 million network packets recorded in over 90 minutes in a network built up of twelve hardware devices. In addition to the raw data in PCAP format, the data set also contains pre-processed data in the form of network flows in CSV files. This data set can support the research community for topics such as intrusion detection, anomaly detection, misconfiguration detection, distributed or federated artificial intelligence, and attack classification. In particular, we aim to use the data set to continue work on resource-constrained distributed artificial intelligence in edge devices. The data set contains six types of events: harmless SSH, bad SSH, misconfigured IP address, duplicated IP address, port scan, and man in the middle attack.
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| 22. |
- Svedberg, Patrik, et al.
(författare)
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Dataset on aquatic ecotoxicity predictions of 2697 chemicals, using three quantitative structure-activity relationship platforms
- 2023
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Ingår i: Data in Brief. - 2352-3409. ; 51
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Tidskriftsartikel (refereegranskat)abstract
- Empirical and in silico data on the aquatic ecotoxicology of 2697 organic chemicals were collected in order to compile a dataset for assessing the predictive power of current Quantitative Structure Activity Relationship (QSAR) models and software platforms. This document presents the dataset and the data pipeline for its creation. Empirical data were collected from the US EPA ECOTOX Knowledgebase (ECOTOX) and the EFSA (European Food Safety Authority) report “Completion of data entry of pesticide ecotoxicology Tier 1 study endpoints in a XML schema – database”. Only data for OECD recommended algae, daphnia and fish species were retained. QSAR toxicity predictions were calculated for each chemical and each of six endpoints using ECOSAR, VEGA and the Toxicity Estimation Software Tool (T.E.S.T.) platforms. Finally, the dataset was amended with SMILES, InChIKey, pKa and logP collected from webchem and PubChem.
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| 23. |
- Tozluoglu, Çaglar, 1988, et al.
(författare)
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A synthetic population of Sweden: datasets of agents, households, and activity-travel patterns
- 2023
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Ingår i: Data in Brief. - 2352-3409. ; 48
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Tidskriftsartikel (refereegranskat)abstract
- A synthetic population is a simplified microscopic representation of an actual population. Statistically representative at the population level, it provides valuable inputs to simulation models (especially agent-based models) in research areas such as transportation, land use, economics, and epidemiology. This article describes the datasets from the Synthetic Sweden Mobility (SySMo) model using the state-of-art methodology, including machine learning (ML), iterative proportional fitting (IPF), and probabilistic sampling. The model provides a synthetic replica of over 10 million Swedish individuals (i.e., agents), their household characteristics, and activity-travel plans. This paper briefly explains the methodology for the three datasets: Person, Households, and Activity-travel patterns. Each agent contains socio-demographic attributes, such as age, gender, civil status, residential zone, personal income, car ownership, employment, etc. Each agent also has a household and corresponding attributes such as household size, number of children ≤ 6 years old, etc. These characteristics are the basis for the agents’ daily activity-travel schedule, including type of activity, start-end time, duration, sequence, the location of each activity, and the travel mode between activities.
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| 24. |
- Tzanetos, Alexandros, et al.
(författare)
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Real operational data for the concrete delivery problem
- 2023
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Ingår i: Data in Brief. - : Elsevier. - 2352-3409. ; 48
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Tidskriftsartikel (refereegranskat)abstract
- The data article describes a real operational dataset for the Concrete Delivery Problem (CDP). The dataset consists of 263 instances corresponding to daily orders of concrete from construction sites in Quebec, Canada. A concrete producer, i.e., a concrete-producing company that delivers concrete, provided the raw data. We cleaned the data by removing entries corresponding to non-complete orders. We processed these raw data to form instances useful for benchmarking optimization algorithms developed to solve the CDP. We also anonymized the published dataset by removing any client information and addresses corresponding to production or construction sites. The dataset is useful for researchers and practitioners studying the CDP. It can be processed to create artificial data for variations of the CDP. In its current form, the data contain information about intra-day orders. Thus, selected instances from the dataset are useful for CDP's dynamic aspect considering real-time orders.
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| 25. |
- Tømmervik, Hans, et al.
(författare)
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The northernmost hyperspectral FLoX sensor dataset for monitoring of high-Arctic tundra vegetation phenology and Sun-Induced Fluorescence (SIF)
- 2023
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Ingår i: Data in Brief. - 2352-3409. ; 50
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Tidskriftsartikel (refereegranskat)abstract
- A hyperspectral field sensor (FloX) was installed in Adventdalen (Svalbard, Norway) in 2019 as part of the Svalbard Integrated Arctic Earth Observing System (SIOS) for monitoring vegetation phenology and Sun-Induced Chlorophyll Fluorescence (SIF) of high-Arctic tundra. This northernmost hyperspectral sensor is located within the footprint of a tower for long-term eddy covariance flux measurements and is an integral part of an automatic environmental monitoring system on Svalbard (AsMovEn), which is also a part of SIOS. One of the measurements that this hyperspectral instrument can capture is SIF, which serves as a proxy of gross primary production (GPP) and carbon flux rates. This paper presents an overview of the data collection and processing, and the 4-year (2019–2021) datasets in processed format are available at: https://thredds.met.no/thredds/catalog/arcticdata/infranor/NINA-FLOX/raw/catalog.html associated with https://doi.org/10.21343/ZDM7-JD72 under a CC-BY-4.0 license. Results obtained from the first three years in operation showed interannual variation in SIF and other spectral vegetation indices including MERIS Terrestrial Chlorophyll Index (MTCI), EVI and NDVI. Synergistic uses of the measurements from this northernmost hyperspectral FLoX sensor, in conjunction with other monitoring systems, will advance our understanding of how tundra vegetation responds to changing climate and the resulting implications on carbon and energy balance.
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