UEXdo/OpenDataHub huggingface dataset:
Inter-annual variation patterns in the carbon footprint of farmland ecosystems in Guangdong Province, China
Authors: Guotong, Q.; Fei, C.; Na, W.; Dandan, Z.
Journal: Scientific Reports (2022)

AbstractCarbon sequestration in farmland ecosystems is an important link in the world carbon cycle and plays an important role in regional carbon reduction. Guangdong, a major industrial and economic province in China, was used as the study area, and the period 2001–2020 was taken as the study period. The carbon emissions, sequestration, and footprint of farmland ecosystems in Guangdong were estimated using carbon emission factors for agricultural inputs that are closer to the actual situation i
Reprocessed magnetorheological elastomers with reduced carbon footprint and their piezoresistive properties
Authors: Munteanu, A.; Ronzova, A.; Kutalkova, E.; Drohsler, P.; Moucka, R.
Journal: Scientific Reports (2022)

AbstractDespite the vast amount of studies based on magnetorheological elastomers (MREs), a very limited number of investigations have been initiated on their reprocessing. This paper presents a new type of recyclable MRE which is composed of thermoplastic polyurethane (TPU) and carbonyl iron particles (CI). The chosen TPU can be processed using injection moulding (IM), followed by several reprocessing cycles while preserving its properties. Numerous types of injection moulded and reprocessed MR
Universal relation for life-span energy consumption in living organisms: Insights for the origin of aging
Authors: Escala, A.
Journal: Scientific Reports (2022)

Abstract
                  
                    Metabolic energy consumption has long been thought to play a major role in the aging process (Pearl, The rate of living. University of London Press, London, 1928). Across species, a gram of tissue expends approximately the same amount of energy during the lifespan on average (Speakman, J Exp Biol 208:1717–1730, 2005). Energy restriction has also been shown to increase the maximum lifespan (McCay et al. J Nutr 10:63–79, 1935) and to retard age-assoc
A weighted energy consumption minimization-based multi-hop uneven clustering routing protocol for cognitive radio sensor networks
Authors: Wang, J.; Li, C.
Journal: Scientific Reports (2022)

AbstractAiming at solving the effective data delivery and energy hole problem in multi-hop cognitive radio sensor networks (CRSNs), a weighted energy consumption minimization-based uneven clustering (ECMUC) routing protocol is proposed in this paper. For the first time, the impact of control overhead on the network performance is taken into consideration, to be specific, the energy consumption of control overhead is integrated with that of data communication to model the network energy consumpti
Low-carbon economic dispatch considering integrated demand response and multistep carbon trading for multi-energy microgrid
Authors: Long, Y.; Li, Y.; Wang, Y.; Cao, Y.; Jiang, L.
Journal: Scientific Reports (2022)

AbstractWith the rapid development of distributed energy resources and natural gas power generation, multi-energy microgrid (MEMG) is considered as a critical technology to increase the penetration of renewable energy and achieve the target of carbon emission reduction. Therefore, this paper proposes a low-carbon economic dispatch model for MEMG to minimize the daily operation cost by considering integrated demand response (IDR) and multistep carbon trading. Specifically, IDR operation includes
Uncovering the biological basis of control energy: Structural and metabolic correlates of energy inefficiency in temporal lobe epilepsy
Authors: He, X.; Caciagli, L.; Parkes, L.; Stiso, J.; Karrer, T.
Journal: Science Advances (2022)

Network control theory is increasingly used to profile the brain’s energy landscape via simulations of neural dynamics. This approach estimates the control energy required to simulate the activation of brain circuits based on structural connectome measured using diffusion magnetic resonance imaging, thereby quantifying those circuits’ energetic efficiency. The biological basis of control energy, however, remains unknown, hampering its further application. To fill this gap, investigating temporal
Ferroelectric/paraelectric superlattices for energy storage
Authors: Aramberri, H.; Fedorova, N.; Íñiguez, J.
Journal: Science Advances (2022)


            The polarization response of antiferroelectrics to electric fields is such that the materials can store large energy densities, which makes them promising candidates for energy storage applications in pulsed-power technologies. However, relatively few materials of this kind are known. Here, we consider ferroelectric/paraelectric superlattices as artificial electrostatically engineered antiferroelectrics. Specifically, using high-throughput second-principles calculations, we engineer
Addressing gain-bandwidth trade-off by a monolithically integrated photovoltaic transistor
Authors: Li, Y.; Chen, G.; Zhao, S.; Liu, C.; Zhao, N.
Journal: Science Advances (2022)


            The gain-bandwidth trade-off limits the development of high-performance photodetectors; i.e., the mutual restraint between the response speed and gain has intrinsically limited performance optimization of photomultiplication phototransistors and photodiodes. Here, we show that a monolithically integrated photovoltaic transistor can solve this dilemma. In this structure, the photovoltage generated by the superimposed perovskite solar cell, acting as a float gate, is amplified by the
Ultrafast response of spontaneous photovoltaic effect in 3R-MoS
            <sub>2</sub>
            –based heterostructures
Authors: Wu, J.; Yang, D.; Liang, J.; Werner, M.; Ostroumov, E.
Journal: Science Advances (2022)


            Rhombohedrally stacked MoS
            2
            has been shown to exhibit spontaneous polarization down to the bilayer limit and can sustain a strong depolarization field when sandwiched between graphene. Such a field gives rise to a spontaneous photovoltaic effect without needing any p-n junction. In this work, we show that the photovoltaic effect has an external quantum efficiency of 10% for devices with only two atomic layers of MoS
            2
            at low temperatu
Compositions of carbonaceous-type asteroidal cores in the early solar system
Authors: Zhang, B.; Chabot, N.; Rubin, A.
Journal: Science Advances (2022)

The parent cores of iron meteorites belong to the earliest accreted bodies in the solar system. These cores formed in two isotopically distinct reservoirs: noncarbonaceous (NC) type and carbonaceous (CC) type in the inner and outer solar system, respectively. We measured elemental compositions of CC-iron groups and used fractional crystallization modeling to reconstruct the bulk compositions and crystallization processes of their parent asteroidal cores. We found generally lower S and higher P i
Electrostatic dust removal using adsorbed moisture–assisted charge induction for sustainable operation of solar panels
Authors: Panat, S.; Varanasi, K.
Journal: Science Advances (2022)

Dust accumulation on solar panels is a major challenge, as it blocks a large portion of sunlight. Solar panels are therefore cleaned regularly using large quantities of pure water. Consumption of water for cleaning, especially in deserts, poses a substantial sustainability challenge. Here, we present a waterless approach for dust removal from solar panels using electrostatic induction. We find that dust particles, despite primarily consisting of insulating silica, can be electrostatically repell
Influence of voids on the thermal and light stability of perovskite solar cells
Authors: Wang, M.; Fei, C.; Uddin, M.; Huang, J.
Journal: Science Advances (2022)

The formation of voids in perovskite films close to the buried interface has been reported during film deposition. These voids are thought to limits the efficiency and stability of perovskite solar cells (PSCs). Here, we studied the voids formed during operation in perovskite films that were optimized during the solution deposition process to avoid voids. New voids formed during operation are found to assemble along grain boundaries at the bottom interface, caused by the loss of residual solvent
Natural separation of two primordial planetary reservoirs in an expanding solar protoplanetary disk
Authors: Liu, B.; Johansen, A.; Lambrechts, M.; Bizzarro, M.; Haugbølle, T.
Journal: Science Advances (2022)

Meteorites display an isotopic composition dichotomy between noncarbonaceous (NC) and carbonaceous (CC) groups, indicating that planetesimal formation in the solar protoplanetary disk occurred in two distinct reservoirs. The prevailing view is that a rapidly formed Jupiter acted as a barrier between these reservoirs. We show a fundamental inconsistency in this model: If Jupiter is an efficient blocker of drifting pebbles, then the interior NC reservoir is depleted by radial drift within a few hu
Escalating carbon emissions from North American boreal forest wildfires and the climate mitigation potential of fire management
Authors: Phillips, C.; Rogers, B.; Elder, M.; Cooperdock, S.; Moubarak, M.
Journal: Science Advances (2022)

Wildfires in boreal forests release large quantities of greenhouse gases to the atmosphere, exacerbating climate change. Here, we characterize the magnitude of recent and projected gross and net boreal North American wildfire carbon dioxide emissions, evaluate fire management as an emissions reduction strategy, and quantify the associated costs. Our results show that wildfires in boreal North America could, by mid-century, contribute to a cumulative net source of nearly 12 gigatonnes of carbon d
Geographically resolved social cost of anthropogenic emissions accounting for both direct and climate-mediated effects
Authors: Burney, J.; Persad, G.; Proctor, J.; Bendavid, E.; Burke, M.
Journal: Science Advances (2022)

The magnitude and distribution of physical and societal impacts from long-lived greenhouse gases are insensitive to the emission source location; the same is not true for major coemitted short-lived pollutants such as aerosols. Here, we combine novel global climate model simulations with established response functions to show that a given aerosol emission from different regions produces divergent air quality and climate changes and associated human system impacts, both locally and globally. The
Projections of future forest degradation and CO
            <sub>2</sub>
            emissions for the Brazilian Amazon
Authors: Assis, T.; Aguiar, A.; von Randow, C.; Nobre, C.
Journal: Science Advances (2022)


            In recent years, the area affected by forest degradation in the Brazilian Amazon has frequently been higher than deforestation. From August 2006 to July 2019, the degraded area totaled 194,058 km
            2
            , representing almost two times the 99,630 km
            2
            deforested in the same period. The impacts of degradation include biodiversity loss and changes in the carbon stocks, affecting the CO
            2
            balance and future climate chang
The effect of renewable energy incorporation on power grid stability and resilience
Authors: Smith, O.; Cattell, O.; Farcot, E.; O’Dea, R.; Hopcraft, K.
Journal: Science Advances (2022)

Contemporary proliferation of renewable power generation is causing an overhaul in the topology, composition, and dynamics of electrical grids. These low-output, intermittent generators are widely distributed throughout the grid, including at the household level. It is critical for the function of modern power infrastructure to understand how this increasingly distributed layout affects network stability and resilience. This paper uses dynamical models, household power consumption, and photovolt
Water evaporation–induced electricity with
            <i>Geobacter sulfurreducens</i>
            biofilms
Authors: Hu, Q.; Ma, Y.; Ren, G.; Zhang, B.; Zhou, S.
Journal: Science Advances (2022)


            Water evaporation–induced electricity generators (WEGs) have recently attracted extensive research attention as an emerging renewable energy–harvesting technology that harvests electricity directly from water evaporation. However, the low power output, limited available material, complicated fabrication process, and extremely high cost have restricted wide applications of this technology. Here, a facile and efficient WEG prototype based on
            Geobacter sulfurreducens
On-demand modulating afterglow color of water-soluble polymers through phosphorescence FRET for multicolor security printing
Authors: Peng, H.; Xie, G.; Cao, Y.; Zhang, L.; Yan, X.
Journal: Science Advances (2022)

Developing full-color organic ultralong room temperature phosphorescence (OURTP) materials with continuously variable afterglow emission is of considerable practical importance in diverse optoelectronic applications but remains a formidable challenge. Here, we present an effective strategy for on-demand engineering of afterglow color in water-soluble polymeric systems via efficient phosphorescence Förster resonance energy transfer. Using a blue afterglow emitting water-soluble polymer as host an
Coextinctions dominate future vertebrate losses from climate and land use change
Authors: Strona, G.; Bradshaw, C.
Journal: Science Advances (2022)

Although theory identifies coextinctions as a main driver of biodiversity loss, their role at the planetary scale has yet to be estimated. We subjected a global model of interconnected terrestrial vertebrate food webs to future (2020–2100) climate and land-use changes. We predict a 17.6% (± 0.16% SE) average reduction of local vertebrate diversity globally by 2100, with coextinctions increasing the effect of primary extinctions by 184.2% (± 10.9% SE) on average under an intermediate emissions sc
Impacts of wind power on air quality, premature mortality, and exposure disparities in the United States
Authors: Qiu, M.; Zigler, C.; Selin, N.
Journal: Science Advances (2022)

Understanding impacts of renewable energy on air quality and associated human exposures is essential for informing future policy. We estimate the impacts of U.S. wind power on air quality and pollution exposure disparities using hourly data from 2011 to 2017 and detailed atmospheric chemistry modeling. Wind power associated with renewable portfolio standards in 2014 resulted in $2.0 billion in health benefits from improved air quality. A total of 29% and 32% of these health benefits accrued to r
Probing dissolved CO
                    <sub>2</sub>
                    (aq) in aqueous solutions for CO
                    <sub>2</sub>
                    electroreduction and storage
Authors: Li, J.; Guo, J.; Dai, H.
Journal: Science Advances (2022)


                    CO
                    2
                    dissolved in aqueous solutions CO
                    2
                    (aq) is important to CO
                    2
                    capture, storage, photo-/electroreduction in the fight against global warming and to CO
                    2
                    analysis in drinks. Here, we developed microscale infrared (IR) spectroscopy for in situ dynamic quantitating CO
                    2
                    (aq). T
Semiautomated synthesis of sequence-defined polymers for information storage
Authors: Lee, J.; Kwon, J.; Lee, S.; Jang, H.; Kim, D.
Journal: Science Advances (2022)


            Accelerated and parallel synthesis of sequence-defined polymers is an utmost challenge for realizing ultrahigh-density storage of digital information in molecular media. Here, we report step-economical synthesis of sequence-defined poly(
            l
            -lactic-
            co
            -glycolic acid)s (PLGAs) using continuous flow chemistry. A reactor performed the programmed coupling of the 2-bit storing building blocks to generate a library of their permutations in a
Storage and analysis of light-matter entanglement in a fiber-integrated system
Authors: Rakonjac, J.; Corrielli, G.; Lago-Rivera, D.; Seri, A.; Mazzera, M.
Journal: Science Advances (2022)

The deployment of a full-fledged quantum internet poses the challenge of finding adequate building blocks for entanglement distribution between remote quantum nodes. A practical system would combine propagation in optical fibers with quantum memories for light, leveraging on the existing communication network while featuring the scalability required to extend to network sizes. Here, we demonstrate a fiber-integrated quantum memory entangled with a photon at telecommunication wavelength. The stor
A measured energy use, solar production, and building air leakage dataset for a zero energy commercial building
Authors: Agee, P.; Nikdel, L.; Roberts, S.
Journal: Scientific Data (2021)

AbstractThis paper provides an open dataset of measured energy use, solar energy production, and building air leakage data from a 328 m2 (3,531 ft2) all-electric, zero energy commercial building in Virginia, USA. Over two years of energy use data were collected at 1-hour intervals using circuit-level energy monitors. Over six years of solar energy production data were measured at 1-hour resolution by 56 microinverters (presented as daily and monthly data in this dataset). The building air leakag
A synthetic building operation dataset
Authors: Li, H.; Wang, Z.; Hong, T.
Journal: Scientific Data (2021)

AbstractThis paper presents a synthetic building operation dataset which includes HVAC, lighting, miscellaneous electric loads (MELs) system operating conditions, occupant counts, environmental parameters, end-use and whole-building energy consumptions at 10-minute intervals. The data is created with 1395 annual simulations using the U.S. DOE detailed medium-sized reference office building, and 30 years’ historical weather data in three typical climates including Miami, San Francisco, and Chicag
DEDDIAG, a domestic electricity demand dataset of individual appliances in Germany
Authors: Wenninger, M.; Maier, A.; Schmidt, J.
Journal: Scientific Data (2021)

AbstractReal-world domestic electricity demand datasets are the key enabler for developing and evaluating machine learning algorithms that facilitate the analysis of demand attribution and usage behavior. Breaking down the electricity demand of domestic households is seen as the key technology for intelligent smart-grid management systems that seek an equilibrium of electricity supply and demand. For the purpose of comparable research, we publish DEDDIAG, a domestic electricity demand dataset of
Scenarios of future Indian electricity demand accounting for space cooling and electric vehicle adoption
Authors: Barbar, M.; Mallapragada, D.; Alsup, M.; Stoner, R.
Journal: Scientific Data (2021)

AbstractIndia is expected to witness rapid growth in electricity use over the next two decades. Here, we introduce a custom regression model to project electricity consumption in India over the coming decades, which includes a bottom-up estimate of electricity consumption for two major growth drivers, air conditioning, and vehicle electrification. The model projections are available at a customizable level of spatial aggregation at an hourly temporal resolution, which makes them useful as inputs
The IDEAL household energy dataset, electricity, gas, contextual sensor data and survey data for 255 UK homes
Authors: Pullinger, M.; Kilgour, J.; Goddard, N.; Berliner, N.; Webb, L.
Journal: Scientific Data (2021)

AbstractThe IDEAL household energy dataset described here comprises electricity, gas and contextual data from 255 UK homes over a 23-month period ending in June 2018, with a mean participation duration of 286 days. Sensors gathered 1-second electricity data, pulse-level gas data, 12-second temperature, humidity and light data for each room, and 12-second temperature data from boiler pipes for central heating and hot water. 39 homes also included plug-level monitoring of selected electrical appli
An open tool for creating battery-electric vehicle time series from empirical data, emobpy
Authors: Gaete-Morales, C.; Kramer, H.; Schill, W.; Zerrahn, A.
Journal: Scientific Data (2021)

AbstractThere is substantial research interest in how future fleets of battery-electric vehicles will interact with the power sector. Various types of energy models are used for respective analyses. They depend on meaningful input parameters, in particular time series of vehicle mobility, driving electricity consumption, grid availability, or grid electricity demand. As the availability of such data is highly limited, we introduce the open-source tool emobpy. Based on mobility statistics, physic
Electric vehicle charging stations in the workplace with high-resolution data from casual and habitual users
Authors: Asensio, O.; Lawson, M.; Apablaza, C.
Journal: Scientific Data (2021)

AbstractProblems of poor network interoperability in electric vehicle (EV) infrastructure, where data about real-time usage or consumption is not easily shared across service providers, has plagued the widespread analysis of energy used for transportation. In this article, we present a high-resolution dataset of real-time EV charging transactions resolved to the nearest second over a one-year period at a multi-site corporate campus. This includes 105 charging stations across 25 different facilit
Global offshore wind turbine dataset
Authors: Zhang, T.; Tian, B.; Sengupta, D.; Zhang, L.; Si, Y.
Journal: Scientific Data (2021)

AbstractOffshore wind farms are widely adopted by coastal countries to obtain clean and green energy; their environmental impact has gained an increasing amount of attention. Although offshore wind farm datasets are commercially available via energy industries, records of the exact spatial distribution of individual wind turbines and their construction trajectories are rather incomplete, especially at the global level. Here, we construct a global remote sensing-based offshore wind turbine (OWT)
A multilevel carbon and water footprint dataset of food commodities
Authors: Petersson, T.; Secondi, L.; Magnani, A.; Antonelli, M.; Dembska, K.
Journal: Scientific Data (2021)

AbstractInforming and engaging citizens to adopt sustainable diets is a key strategy for reducing global environmental impacts of the agricultural and food sectors. In this respect, the first requisite to support citizens and actors of the food sector is to provide them a publicly available, reliable and ready to use synthesis of environmental pressures associated to food commodities. Here we introduce the SU-EATABLE LIFE database, a multilevel database of carbon (CF) and water (WF) footprint va
Time series of useful energy consumption patterns for energy system modeling
Authors: Priesmann, J.; Nolting, L.; Kockel, C.; Praktiknjo, A.
Journal: Scientific Data (2021)

AbstractThe analysis of energy scenarios for future energy systems requires appropriate data. However, while more or less detailed data on energy production is often available, appropriate data on energy consumption is often scarce. In our JERICHO-E-usage dataset, we provide comprehensive data on useful energy consumption patterns for heat, cold, mechanical energy, information and communication, and light in high spatial and temporal resolution. Furthermore, we distinguish between residential, i
Role of the social factors in success of solar photovoltaic reuse and recycle programmes
Authors: Walzberg, J.; Carpenter, A.; Heath, G.
Journal: Nature Energy (2021)

Abstract
                  By 2050, the cumulative mass of end-of-life photovoltaic (PV) modules may reach 80 Mt globally. The impacts could be mitigated by module recycling, repair and reuse; however, previous studies of PV circularity omit the consideration of critical social factors. Here we used an agent-based model to integrate social aspects with techno-economic factors, which provides a more realistic assessment of the circularity potential for previously studied interventions that assess