Find research datasets worth reusing

Images of Construction and Demolition Waste Consting of Brick and Sand-lime Brick Transported on a Conveyor Belt - Recording with a Mass Flow of 15 g per s and a Mixing Ratio of 90 vs. 10 %

This data set comprises images of bulk material of brick and sand-lime brick on a conveyor belt. The images were recorded on the small-scale optical belt sorter Tablesort. A thorough description of the system can be found in <ul> <li>Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden,Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer, Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking,Transactions on Industrial Electronics, February 2020.</li> <li>See also the <a href="https://www.iosb.fraunhofer.de/en/projects-and-products/insideschuettgut">project website</a>.</li> </ul> This dataset is part of a batch of recordings of construction and demolition waste consisting of brick and sand-lime brick on optical sorters. Please use the search function with the keywords "Images of Construction and Demolition Waste" (in quotes) to find them. The data set was recorded with a Bonito CL-400C. Please see the debayer script on GitHub <a href="https://github.com/geomai/debayer_bonito">https://github.com/geomai/debayer_bonito</a>. The frame rate is approximately 192 Hz. To this date, publications that used this data include <ul> <li>Marcel Reith-Braun, Albert Bauer, Maximilian Staab, Florian Pfaff, Georg Maier, Robin Gruna, Thomas Längle, Jürgen Beyerer, Harald Kruggel-Emden and Uwe D. Hanebeck, GridSort: Image-based Optical Bulk Material Sorting Using Convolutional LSTMs, 22nd IFAC World Congress, Yokohama, Japan, July 2023.</li> </ul> Acknowledgment The IGF project 20354 N of the research association Forschungs-Gesellschaft Verfahrens-Technik e.V. (GVT) was supported via the AiF in a program to promote the Industrial Community Research and Development (IGF) by the Federal Ministry for Economic Affairs and Climate Action on the basis of a resolution of the German Bundestag.

Images of Construction and Demolition Waste Consting of Sand-lime Brick Transported on a Conveyor Belt - Recording with a Mass Flow of 10 g per s

This data set comprises images of bulk material of sand-lime brick on a conveyor belt. The images were recorded on the small-scale optical belt sorter Tablesort. A thorough description of the system can be found in <ul> <li>Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden,Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer, Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking,Transactions on Industrial Electronics, February 2020.</li> <li>See also the <a href="https://www.iosb.fraunhofer.de/en/projects-and-products/insideschuettgut">project website</a>.</li> </ul> This dataset is part of a batch of recordings of construction and demolition waste consisting of brick and sand-lime brick on optical sorters. Please use the search function with the keywords "Images of Construction and Demolition Waste" (in quotes) to find them. The data set was recorded with a Bonito CL-400C. Please see the debayer script on GitHub <a href="https://github.com/geomai/debayer_bonito">https://github.com/geomai/debayer_bonito</a>. The frame rate is approximately 192 Hz. To this date, publications that used this data include <ul> <li>Marcel Reith-Braun, Albert Bauer, Maximilian Staab, Florian Pfaff, Georg Maier, Robin Gruna, Thomas Längle, Jürgen Beyerer, Harald Kruggel-Emden and Uwe D. Hanebeck, GridSort: Image-based Optical Bulk Material Sorting Using Convolutional LSTMs, 22nd IFAC World Congress, Yokohama, Japan, July 2023.</li> </ul> Acknowledgment The IGF project 20354 N of the research association Forschungs-Gesellschaft Verfahrens-Technik e.V. (GVT) was supported via the AiF in a program to promote the Industrial Community Research and Development (IGF) by the Federal Ministry for Economic Affairs and Climate Action on the basis of a resolution of the German Bundestag.

Images of Construction and Demolition Waste Consting of Brick and Sand-lime Brick Transported on a Conveyor Belt - Recording with a Mass Flow of 20 g per s and a Mixing Ratio of 10 vs. 90 %

Images of Construction and Demolition Waste Consting of Brick and Sand-lime Brick Transported on a Conveyor Belt - Recording with a Mass Flow of 10 g per s and a Mixing Ratio of 10 vs. 90 %

Replication Data for: CHEEREIO 1.0: a versatile and user-friendly ensemble-based chemical data assimilation and emissions inversion platform for the GEOS-Chem chemical transport model

This dataset includes three files necessary for understanding CHEEREIO model output in the demo section of my initial submission to GMD for the paper: CHEEREIO 1.0: a versatile and user-friendly ensemble-based chemical data assimilation and emissions inversion platform for the GEOS-Chem chemical transport model. Detailed guides for how to handle these datasets are provided in the <a href="https://cheereio.readthedocs.io/en/latest/Postprocess-workflow.html">CHEEREIO documentation postprocessing page</a>. <ul> <li>control_hemco_diagnostics.nc contains the source-separated prior methane emissions.</li> <li>combined_hemco_diagnostics.nc contains the source-separated and ensemble member separated posterior methane emissions.</li> <li>bigY.pkl contains a Python dictionary which aligns TROPOMI XCH4 with simulated prior and posterior GEOS-Chem XCH4.</li> </ul>

Observing system simulation experiments to evaluate transport model error on CO2 flux estimates

Atmospheric CO2 inversion using coarse-resolution transport model can cause large errors on surface carbon flux estimates. The transport model errors on flux estimates are isolated using observing system simulation experiments presented here.

Dataset: Long Range Electron Transport Rates Depend on Wire Dimensions in Cytochrome Nanowires

The ability to redirect electron transport to new reactions in living systems opens possibilities to store energy, generate new products, or probe physiological processes. Recent work by Huang et al. showed that 3D crystals of small tetraheme cytochromes (STC) could transport electrons over nanoscopic to mesoscopic distances by an electron hopping mechanism. Such protein-based structures with multiple localized electron carriers are promising materials for nanowires. A potential barrier to protein nanowire adoption for handling long-range electron transport is that fluctuations at room temperature may distort the nanostructure, hindering efficient electron transport. To study these fluctuations at the nano- and mesoscopic scales, we carry out classical molecular dynamics simulations for a small fragment of a STC nanowire and measure the effective distance distribution for electron tunneling. From distance distributions, we develop a graph network representation for electron transport along nanowires with varying dimensions, and through stochastic methods determine the maximum electron flow that can be driven through these STC wires. Longer nanowires were capable of carrying less electron flow than shorter nanowires with the same diameter, as long electron transfer distances that occasionally arise reduce the efficiency for electron transport. Thicker nanowires permit more alternative transport pathways, increasing electron transport beyond the increase in cross-section. Thus, this model implies that the design of protein-based nanowires that depend on electron hopping between charge carriers must consider control of the inherent protein flexibility, as more flexible protein-protein interfaces impose a limit on the required minimum diameter to carry currents commensurate with conventional electronics.

Datasets for Russell & Jones, Transport and eruption of mantle xenoliths creates a lagging problem, Communications Earth and Environment

Example datasets for Russell & Jones, Transport and eruption of mantle xenoliths creates a lagging problem, Communications Earth and Environment

opencc-by-4.0Oct 2022View details →

Low-Cost Sustainable Engineered Geopolymer Composites (EGCs) for Repair and New Construction of Transportation Infrastructure

This study evaluated the use of cost-effective alternative materials in the formulation of novel low-cost Engineered Geopolymer Composite (EGC) materials for repair and new construction of transportation infrastructure in Region 6. Previous studies and reports have shown that EGCs have excellent mechanical properties, which makes them an eco-friendly and more sustainable alternative to Engineered Cementitious Composites (ECCs). However, the mass adoption of these emerging composites is expected to be hindered by their cost, which is mainly driven by the use of PVA reinforcing fibers, silica fume (SF), and manufactured microsilica sand (MS). To address this key shortcoming, novel low-cost EGC materials for repair and new construction of transportation infrastructure in Region 6 were developed by: (1) metakaolin (MK) and fly ash (FA) as replacements of commonly used SF for GP binders; (2) low-cost PP fiber, PVA fiber, and hybrid systems of PP and PVA fiber; and (3) natural sand instead of commonly used manufactured MS. The MK-FA GP binders were tested for compressive strength and characterized with scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDS), while the MK-FA GP composites were tested for workability, compressive strength, and uniaxial tensile strength (UTT). Based on the experimental findings, it was concluded that 20-40 wt% of FA replacement was the optimal range for Na-based MK-FA GP with the strength values of ~12-14 MPa, while 50 wt% of FA replacement had the highest strength for K-based MK-FA GP of 17.2 MPa at 90-day. For composites, the mortar with the highest compressive strength reached a value of 10.6 MPa with 45% of river sand, and with 4 wt% SF and 1.5% PVA+0.25% PP fibers, it reached 21 MPa as a fiber-reinforced composite at 28-day. The composite with 10 wt% SF and 1.75% PE had the highest UTT of 3.97 MPa and a strain capacity of 1.78%. All the slant shear test specimens meet the 28-day shear bond strength requirement according to ASTM C882.

opencc-by-4.0Oct 2022View details →

Rebar-Free 3D Printing of Transportation Infrastructure

This study investigates the fresh and hardened-state properties of printing mixtures including different dosages of steel fibers, especially at higher dosages which have not been investigated before. This study also considers the effects of other parameters such as sand-to-powder ratio and the limestone content on the properties of steel fiber reinforced printing materials, to reduce the Portland cement content which has a high carbon footprint. The obtained experimental results revealed that high-performance materials incorporating up to 2.5% steel fibers (by volume) can be successfully 3D printed. The mechanical properties of the reinforced mixtures improved significantly at high fiber dosages (2% and 2.5% vol.). By incorporating 2% and 2.5% vol. of steel fibers, the compressive strength results showed up to 109% and 50% increase in strength compared to the control mixture, at 7 days and 28 days, respectively. In addition, significant improvement in the flexural strength, tensile strength and toughness of printing materials were achieved at high dosages of steel fiber inclusion. The obtained results also reveal that the orientation and alignment degree of steel fibers in the composite is affected by different parameters such as the binder content and nozzle design. In addition, an electromechanical module was successfully designed, developed, and implemented with an existing printing system to enable a semi-automated screw insertion process in parallel with the layer deposition process. This highlights the feasibility of a fully automated layer deposition and reinforcement process for future real-life construction projects.

opencc-by-4.0Sep 2022View details →

Coupled Situational Awareness System to Improve Transportation Infrastructure Performance during Extreme Events

The dense road networks and numerous low water crossings throughout Texas may be contributing to the higher recurrence rates of floods that pose a danger to vehicles. A timely issue that should be addressed by researchers is the compounding of disaster. Flooding can be combined with other life-threatening occurrences such as power loss and interruptions of health and emergency services. During these events, rescue requests from the stranded communities overwhelm the emergency response facilities; impassable roadways and the paucity of reliable information on the affected areas and their accessibility hamper emergency response operations, causing several detours and delays that put both the responders and evacuees at risk. This research presents a framework for improved situational awareness during extreme flooding events by combing a flood inundation model with transportation infrastructure performance assessment. The flood inundation model can be driven by real-time radar rainfall data in an efficient manner. The road network work model can use land use, census data, and locations of critical facilities in combination with spatial analysis. The proposed framework is demonstrated on a small catchment in San Antonio, Texas. The study includes the following tasks: literature review, vehicle-related flood fatality analysis, review of flood warning systems in Texas, and the proposed framework of a road flooding forecasting system that can predict land surface flooding in detail and the impacts on the road network and provide information on the spatial and temporal evolution of road network access during flooding events. It is recommended that the framework be used for identifying the transportation network-wide impacts of flood ‘hot-spots’ and assessment of transportation-related flood mitigation alternatives. The framework can also support disaster planning and emergency preparedness measures in preparation for major events. Examples may include contingency planning for deployment of barricades, mitigation of critical facilities, and large-scale evacuation planning. The methodology can provide useful outputs on system-wide costs of flooded roads that can be used to inform regional mitigation efforts.

Roles of regional transport and vertical mixing in aerosol pollution in Shanghai over the COVID-19 lockdown period observed above urban canopy

Abstract Regional transport and vertical mixing are important for aerosol pollution of megacities, but their roles are often challenging to assess via ground observations. In this study, we measured aerosol chemical composition simultaneously above urban canopy (Shanghai Tower, 609 m), a site representative of aerosols from regional scale, and a nearby ground site and investigated the roles of regional transport and vertical mixing over 2020 COVID-19 lockdown period (Jan.1-Apr. 18), when local emissions were first drastically reduced and then recovered. During the lockdown period, regional transport was the major source of most aerosol species (organics, NO3-, SO42-, and NH4+) at both heights according to the high correlation coefficients (R=0.81~0.87) between both heights. Correlation coefficients and vertical ratios (609 m/ground) of most aerosol components showed similar diurnal variations with the evolution of planetary boundary layer height, indicating the role of vertical mixing in aerosol pollution. Moreover, the concentrations of aerosol components at 609 m generally preceded those at ground level by 1~2 h, indicating that aerosols were first transported at upper boundary layer, and then were mixed downwards to ground level. At 609 m, highly oxidized oxygenated organic aerosol (OOA; a surrogate of secondary organic aerosol (SOA)) dominated in organic aerosol (≥75%). The high correlations (R=0.96) between OOA and hydrocarbon-like organic aerosol (HOA; a surrogate of primary organic aerosol (POA)) at 609 m indicated that they originated similarly from regional transport. This study highlights the importance of regional joint prevention and control of pollutant emissions and observation above urban canopy.   The data files are provided for readers to evaluate this research.

Data for article "Waterborne virus transport and risk assessment in Lake Geneva under climate change"

Radiation_2019_Aigle contains the daily global radiation measurement data at Station Aigle for the year of 2019. Radiation_yearly contains the historical yearly mean global radiation measurement data at Station Aigle. Virus concentration_measurement contains sewage virus measurement data. Code_and_simulation_files contain files used for hydrodynamic and water quality simulations as well as risk assessment.

opencc-zeroMay 2023View details →

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PfCRT mutations conferring piperaquine resistance in falciparum malaria shape the kinetics of quinoline drug binding and transport

These data were generated to investigate the effect of point mutations in PfCRT on the kinetics of chloroquine and piperaquine binding and transport. The protein confers resistance to a range of quinoline and quinoline-like antimalarials after the acquisition of certain amino acid substitutions, which occurs as a result of improper antimalarial use. The change in prescription from chloroquine (CQ) to piperaquine (PPQ) in Southeast Asian countries led to the emergence of a ninth mutation over the PfCRT Dd2 isoform, which renders the parasites resistant to piperaquine but re-sensitizes them to chloroquine. Despite structural information, how these individual mutations influence such opposing changes in the parasite's susceptibility to the aforementioned drugs remains unknown. Here, we show by biochemical studies that any of the piperaquine resistance-conferring mutations H97Y, F145I, M343L or G353V, either reduce the affinity of PfCRT Dd2 for CQ (Km) or reduce the efficiency of the transport cycle (Vmax). In parallel, they increase the Vmax, reduce the Km, or do both, in the case of PPQ transport. We also probed the binding cavity of PfCRT Dd2 and that of PfCRT Dd2_F145I, and found that it can readily bind both CQ and PPQ simultaneously, in a partial noncompetitive mechanism. We confirmed the latter finding through molecular docking and molecular dynamics simulations, describing for the first time the binding sites for both drugs in the cavity of PfCRT Dd2. With this, we found that the pocket where CQ binds seems to require an aromatic side chain, which is normally provided by F145, or by Y97 in the PPQ resistance-conferring H97Y mutant. Lastly, we generated an unnatural double mutant carrying both the H97Y and the F145I mutations. The engineered transporter displayed non-Michaelis-Menten kinetics both for CQ and PPQ transport and instead revealed sigmoidal kinetics, typical of proteins that bind substrate cooperatively. We thus provide new insights into the organization of the substrate-binding cavity of PfCRT and into the evolution of PfCRT.

Field Application of a High-Power Density Electromagnetic Energy Harvester to Power Wireless Sensors in Transportation Infrastructures

Traffic-induced vibration of transportation infrastructures is a reliable source of kinetic energy, which can be harvested to power conventional monitoring sensors and peripherals installed on bridges, thereby reducing some dependence on non-renewable energy. The highway statistics shows that the average daily vehicles miles travelled in the US is more than 5 billion. This is a massive source of kinetic energy that lies unused in the national transportation network. This study focuses on the design and field testing of a high-power density electromagnetic energy harvester (EMEH) to convert such a kinetic energy into electrical energy for powering ubiquitous sensors installed on transportation infrastructures. The principal investigators have been investigating the design of the EMEH using analytical and finite element simulations, as well as, its laboratory prototype fabrication and testing in the first phase. The proposed EMEH utilizes the innovative concept of creating planar array of large number of small permanent magnets through certain optimization criteria to achieve strong and focused magnetic field in a particular orientation. The proposed EMEH has a compact design, such that it can be integrated into the power circuit of wireless sensor nodes (WSNs) and installed at suitable part of a transportation infrastructure without elaborate wiring. It is capable of continuously charging the rechargeable battery of a WSN, thereby extending the lifespan of the monitoring system, almost, indefinitely. For the next phase of this research, the principal investigators propose the development and field implementation of a larger scale and more compact version of the EMEH with a minimum of 500 mW output power to be installed on selected transportation infrastructures for the evaluation of its energy harvesting efficiency and capability to derive different types of monitoring sensors and peripherals. Three different highway bridges with different fundamental frequencies, ideally between 2Hz to 8Hz, will be selected for the field testing of the EMEH. An acceleration sensor will be used to record the traffic-induced vibration of each bridge during a normal daily traffic that after signal processing is used to measure the fundamental frequency of that bridge. The dynamic characteristics of the proposed EMEH (i.e. tip mass and spring stiffness) will be modified to put it into a resonant condition with the bridge by matching their natural frequencies. The output power will be monitored and used to continuously charge a rechargeable battery powering a wireless sensor. The focus is on the feasibility of the proposed EMEH to power sensors that are used to regularly monitor the structural integrity of materials and components of highway bridges such as acceleration and temperature sensors.

opencc-by-4.0Nov 2022View details →

Randomly Distributed Crab Burrows Enhance Groundwater Flow and Salt Transport in Creek-Marsh Systems

This dataset contains SUTRA input file and training image that used in our research paper "Randomly Distributed Crab Burrows Enhance Groundwater Flow and Salt Transport in Creek-Marsh Systems".

opencc-by-4.0Jun 2023View details →

Decreasing seasonal cycle amplitude of methane in the northern high latitudes being driven by lower latitude changes in emissions and transport

This dataset contains the smoothed and detrended time series of methane from the TOMCAT regional tagged tracer simulations between 1995-2020 at 22 NOAA surface observation sites. Each file contains the Site Code and the latitude and longitude of of each observation site. The regional file contains the region code of each regional tagged tracer. More information on the TOMCAT simulation and the Site Codes and Region Codes can be found at: https://doi.org/10.5194/egusphere-2023-132, 2023

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Data from: What makes a good pollinator? Abundant and specialized insects with long flight periods transport the most strawberry pollen

<ol> <li>Despite the importance of insect pollination to produce marketable fruits, insect pollination management is limited by insufficient knowledge about key crop pollinator species. This lack of knowledge is due in part to: 1) the extensive labour involved in collecting direct observations of pollen-transport, 2) the variability of insect assemblages over space and time, and 3) the possibility that pollinators may need access to wild plants as well as crop floral resources.</li> <li>We address these problems using strawberry in the UK as a case study. First, we compare two proxies for estimating pollinator importance: flower visits and pollen transport. Pollen-transport data might provide a closer approximation of pollination service, but visitation data are less time-consuming to collect. Second, we identify insect parameters that are associated with high importance as pollinators, estimated using each of the proxies above. Third, we estimated insects' use of wild plants as well as the strawberry crop.</li> <li>Overall, pollinator importances estimated based on easier-to-collect visitation data were strongly correlated with importances estimated based on pollen loads. Both frameworks suggest that bees Apis and Bombus and hoverflies Eristalis are likely to be key pollinators of strawberries, although visitation data underestimate the importance of bees.</li> <li>Moving beyond species identities, abundant, relatively specialised insects with long active periods are likely to provide more pollination service. </li> <li>Most insects visiting strawberry plants also carried pollen from wild plants, suggesting that pollinators need diverse floral resources.</li> <li>Identifying essential pollinators or pollinator parameters based on visitation data will reach the same general conclusions as those using pollen transport data, at least in monoculture crop systems. Managers may be able to enhance pollination service by preserving habitats surrounding crop fields to complement pollinators' diets and provide habitats for diverse life stages of wild pollinators.</li> </ol>

opencc-zeroJun 2023View details →

opencc-by-4.0Jun 2023View details →

Magnetic-field-free nonreciprocal transport in graphene multi-terminal Josephson junctions

Dataset for "Magnetic-field-free nonreciprocal transport in graphene multi-terminal Josephson junctions" manuscript

Depth image-based deformation estimation of deformable objects for collaborative mobile transportation

Human-Robot collaborative transportation is a promising technology that combines the strength of humans and robots. The most common approaches rely on methodologies that exploit force-sensing. However, the drawbacks are multiple. First, the magnitude of force applied might be limited to avoid damages. Then, force measurements might be unidirectional according to the material properties; e.g., compression forces are not measurable for fabrics. This paper proposes an approach based on estimating the deformation state of the manipulated object from depth images. Specifically, the segmented depth images of the manipulated object are fed to a Convolutional Neural Network (CNN) model to estimate the current deformation status. Compared with the desired deformation, the current deformation status is used to generate the robot's twist command. The methodology is proved in a mobile robot application, where carbon-fiber fabrics are transported. A comparison with the state-of-the-art is reported proving that the proposed method is more accurate and more repeatable.