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69 results for “profitability”
Challenges to Profitability for Energy Storage in High Renewable Energy Systems
<p>This figure illustrates the impact of renewable energy source (RES) penetration on electricity price spreads and the profitability of energy storage systems.</p> <p>In scenarios with a low share of RES, the price spread is significant. During low-demand periods, electricity is predominantly supplied by cost-effective RES, leading to lower prices. Conversely, during high-demand hours, traditional power plants with higher operational costs are required, resulting in elevated prices. Energy storage systems can capitalize on this large price spread by charging during low-price periods and discharging during high-price periods, thereby maximizing their profits.</p> <p>In contrast, with a high share of RES, both low and high-demand periods are largely covered by renewable sources. This extensive reliance on RES minimizes the price differential between these periods, resulting in a much smaller price spread. Consequently, the potential for storage systems to profit from price arbitrage is reduced, as the opportunities to buy low and sell high diminish.</p>
Fig. 2 in It is recreational but profitability also matters: A cost-effective economic approach to marine recreational fishing in Spain Abstract
Fig. 2: Summary diagram of the cost-effectiveness indicator calculation process.
Input Data for paper "Energy Storage Profit Risk under Stochastic Fuel Prices"
<p>This is a supplementary information accompanying "Energy Storage Profit Risk under Stochastic Fuel Prices" paper submitted to <a href="https://www.journals.elsevier.com/energy-economics/">Energy Economics</a>.</p>
Impact of urea fertilization rates on nitrogen dynamics, productivity, and profitability from Ugandan sugarcane plantations
<p>All the datasets contained in the zipped file have all the different variables written out in full with the appropriate units defined in brackets [].</p>
Textiles: Kukushkina, "A Profitable Position"
The 3D model presents a digital reconstruction of historical textile materials for a theatrical costume for Felisata Kukushkina in the play "A Profitable Position" (1856) by A.N. Ostrovsky. The authors used 2D scanning to capture the look of the surfaces, post processed the images in PixPlant, generated texture maps in Photoshop and put those on the 3D models in SubstancePainter. The authors of the 3D model are Aleksei Moskvin and Mariia Moskvina (Saint Petersburg State University of Industrial Technologies and Design). The authors thank prof. Victor Kuzmichev (Ivanovo State Polytechnic University) for providing data required for digitization of textiles. The actual costume that can be seen in the photo was made by faculty members and students of Ivanovo State Polytechnic University. This work was supported by the Russian Historical Society and the History of the Fatherland Foundation under project titled "NashOstrovsky". DOI: 10.13140/RG.2.2.35055.71848 Please contact us if you require seamless textures Source: Objaverse 1.0 / Sketchfab
Textiles: Polenka (1), "A Profitable Position"
The 3D model presents a digital reconstruction of historical textile materials for a theatrical costume for Polina Kukushkina in the play "A Profitable Position" (1856) by A.N. Ostrovsky. The authors used 2D scanning to capture the look of the surfaces, post processed the images in PixPlant, generated texture maps in Photoshop and put those on the 3D models in SubstancePainter. The authors of the 3D model are Aleksei Moskvin and Mariia Moskvina (Saint Petersburg State University of Industrial Technologies and Design). The authors thank prof. Victor Kuzmichev (Ivanovo State Polytechnic University) for providing data required for digitization of textiles. The actual costume that can be seen in the photo was made by faculty members and students of Ivanovo State Polytechnic University. Please contact us if you require seamless textures. The cloth 3D model by atomov is available at Turbosquid. DOI: 10.13140/RG.2.2.21633.94567 Source: Objaverse 1.0 / Sketchfab
Data from: Will trees or grasses profit from changing rainfall regimes in savannas?
Open the record for dataset details and reuse information.
Data from: Crop performance and profitability for the initial transition years of a regenerative cropping system in the Upper Midwest USA
Open the record for dataset details and reuse information.
Data from: A large cohort study of postnatal events over 18 months in a not-for-profit referral centre in Vellore, South India
Open the record for dataset details and reuse information.
Non-Profit Energy Cooperatives as the Catalyst of the Movement of People to Renewable Electricity
<p>The Environment, Energy and Natural Resources (EENR) Center of University of Houston Law Center hosted a webinar on April 3rd – 11:00 am EDT as part of the Energy Transition Governance Project Webinar/Lecture Series.</p> <p>The webinar features: Melissa K. Scanlan, Visiting Professor, Boston College Law School, Director, New Economy Law Center, Law Professor, Vermont Law School;</p> <p>Gabe Pacyniak, Assistant Professor of Law, University of New Mexico;</p> <p>Aubin Nzaou, Marie Sklodowska-Curie Fellow in Law and Energy Policy, University of Houston Law Center.</p> <p>The renewable energy revolution poses a once in a lifetime opportunity for co-benefits of democracy, bringing electricity to those who lack it, and equity. This transition has the potential for widely shared prosperity, not just a decrease in suffering. To unlock that potential, however, we also need to disrupt business as usual in the dominant business model. The co-benefits are more likely if the institutions that lead the way are democratically owned and managed with the explicit goal of bringing the benefits of ownership to those who have been traditionally marginalized by the current economic and energy system. The talk will sketch the pathways to sustainable development and deep decarbonization of energy at the global level. First, Professor Melissa Scanlan will discuss research on non-profit energy cooperatives she is leading, which demonstrates how different aspects of the transition are already underway. Each case study, from a comparative perspective of Spain and the U.S., includes an overview of the cooperative’s history, type, and economic sector; context based on its industry and country; best practices in environmental sustainability; and its governance and cooperative legal structure. The panel will discuss Spanish renewable energy cooperatives involved in various points in the energy system and a US electricity cooperative in the politically conservative Deep South that is leading the transition to renewables. Second, Professor Gabe Pacyniak will discuss how the rural electricity cooperative model in the United States also presents some challenges when it comes to shifting to a lower-carbon electricity grid. The over 900 electric cooperatives in the United States have generally been slower to shift to lower-carbon electricity in comparison to other types of utilities. Pacyniak will share research that identifies structural and institutional factors for this lag, and will also highlight opportunities to strengthen cooperative supports and oversight to accelerate the shift to a low-carbon electricity system.</p>
Data from: Continuous corn and corn–soybean profits over a 45-year tillage and fertilizer experiment
Studies comparing profitability of tillage systems often examine narrow historic windows or exclude annual price fluctuations. This study uses a continuous corn (Zea mays L.) (CC; 1970–1990) and corn–soybean [Glycine max (L.) Merr.] (CS; 1991–2014) Tillage × Fertilizer study in somewhat poorly drained soils in southern Illinois to reconstruct partial annual budgets with historical prices for crops, fertilizers, lime, herbicides, fuel, labor, and machinery. Combinations of tillage (moldboard plow [MP], chisel tillage [ChT], alternate tillage [AT], and no-till [NT]) and fertilizer (Control, N-only, N+NPK starter, NPK+NPK starter, and NPK broadcast) treatments were evaluated. The CC profits were highest in NPK-applied treatments followed by N-only and Control. The MP treatments were similar to ChT and more profitable than NT, while AT fell between. In CS, NPK-applied treatments were similar regardless of tillage. Combined costs for herbicide, machinery, labor, and diesel were higher in MP and ChT systems than AT and lowest in NT, but were a small percentage of total costs (26.6, 26.0, 21.5, and 18.2%, respectively). Nitrogen fertilizer offered a return on investment of 396% in CC and 133% in CS while P & K returned 78% in CC and 109% in CS. Sensitivity analysis in CS showed that NT would be less profitable than MP if herbicide costs increased 850%. A 300% machinery cost increase would have made MP less profitable than NT. These findings suggest that since 1991 CS under NT carried the same potential for profit as other tillage systems under full fertility management.
Understanding the impact of sustainable finance on bank profitability
<p><span>This research examines the impact of green credit, competition, and risk taking on bank profitability as a form of sustainable finance practices that can increase economic growth. This research applies balanced panel data <span>regression analysis</span> using commercial banks data from 2005 to 2021<span>.</span><span> </span><span>The results show that increasing green credit allocation </span>and the level of competition will increase bank profitability in Indonesia. The<span> </span>increased<span> </span>bank<span> </span>profitability<span> </span>resulting<span> </span>from<span> </span>green<span> </span>credit<span> </span>allocation<span> </span>and bank competition can boost economic growth.<span> </span>Furthermore,<span> </span>high<span> </span>risk-taking<span> </span>behavior<span> </span>will<span> </span>reduce<span> </span>bank<span> </span>profitability.<span> </span>This finding<span> </span>is<span> </span>in<span> </span>line with sustainable development goals (SDGs) eight and nine. The results<span> </span>emphasize<span> </span>the<span> </span>importance<span> </span>of<span> </span>strategy<span> </span>in<span> </span>green<span> </span>credit allocation, competitive banking strategies, and risk management in bank’s decision making to realize sustainable finance.</span></p>
Correlation analysis for paper "Energy Storage Profit Risk under Stochastic Fuel Prices"
<p>This is a supplementary data for reproducibility.</p>
Dataset and results for paper: Predicting missing links in directed networks: An investment-profit index
<p>Dataset and raw results for paper: Predicting missing links in directed networks: An investment-profit index. File "All_indices_12_dataset.mat" contains results of all 9 indices in 12 datasets. File "IP_sigma_12_dataset.mat" contains AUC and precision values when parameter sigma changes in IP index.</p>
Figure 1 in Functional necrophilia: a profitable anuran reproductive strategy?
Figure 1. Necrophilia in Rhinella proboscidea in a central Amazonian headwater stream. Thousands of eggs (arrow) from a single reproductive event, in a small patch of a headwater stream (A). Two males in a battle for a drowned female. The larger (arrowed) is in amplexus and compressing the female's abdomen with his legs, which resulted in expulsion of the oocytes (B). Male compressing the abdomen of a dead female, which resulted in expulsion of her oocytes (C).
Biodiversity and pollination benefits trade off against profit in an intensive farming system
<p>Agricultural expansion and intensification have boosted global food production but have come at the cost of environmental degradation and biodiversity loss. Biodiversity-friendly farming that boosts ecosystem services, such as pollination and natural pest control, is widely being advocated to maintain and improve agricultural productivity while safeguarding biodiversity. A vast body of evidence showing the agronomic benefits of enhanced ecosystem service delivery represents important incentives to adopt practices enhancing biodiversity. However, the costs of biodiversity-friendly management are rarely taken into account and may represent a major barrier impeding uptake by farmers. Whether and how biodiversity conservation, ecosystem service delivery, and farm profit can go hand in hand is unknown. Here we quantify the ecological, agronomic and net economic benefits of biodiversity-friendly farming in an intensive grassland-sunflower system in southwest France. We found that reducing land-use intensity on agricultural grasslands drastically enhances flower availability and wild bee diversity, including rare species. Biodiversity-friendly management of grasslands furthermore resulted in an up to 17% higher revenue on neighboring sunflower fields through positive effects on pollination service delivery. However, the opportunity costs of reduced grassland forage yields consistently exceeded the economic benefits of enhanced sunflower pollination. Our results highlight that profitability is often a key constraint hampering adoption of biodiversity-based farming and uptake critically depends on society's willingness to pay for associated delivery of public goods such as biodiversity.</p>
Profitability of alternative battery operation strategies in pho-tovoltaic self-consumption systems under current regulatory framework and electricity prices in Spain
<p>The decreasing costs of solar photovoltaic (PV) technology have led to an exponential growth in the use of PV self-consumption systems. This development has encouraged the consideration of battery energy storage systems (BESS) as a potential means of achieving even more independence from the fluctuating grid electricity prices. As PV technology and energy storage costs continue to decline, both technologies will likely play an increasingly important role in the renewable energy sector.</p> <p>The profitability of batteries in PV self-consumption systems is largely influenced by the price of consumed electricity and the price at which surplus energy is remunerated. However, strategies in PV-BESS self-consumption systems typically do not take electricity prices into consideration as a variable for decision-making. This study simulates and analyzes battery operation strategies that take into account electricity prices. The simulations are performed using real industrial consumption data and real electricity prices and tariffs, they cover the entire lifespan of the batteries, and include aging and degradation due to use and cycling. A techno-economic model is used to evaluate the advantages of incorporating these battery operational strategies into an actual PV-BESS system. The results demonstrate that the proposed strategies enhance the savings that batteries can provide.</p>
Profitability Trial in Primary Preventive Implantable Cardioverter-defibrillator Recipients
ClinicalTrials.gov study NCT01823211. IPD Sharing: Not stated. Countries: 1. Publications: 2.
PROFIT - Prostate Fractionated Irradiation Trial
ClinicalTrials.gov study NCT00304759. IPD Sharing: Not stated. Countries: 3. Publications: 2.
Body Cooling During Carotid Endarterectomy: No-profit, Open, Mono-centric, Feasibility Study
ClinicalTrials.gov study NCT02629653. IPD Sharing: UNDECIDED. Countries: 1. Publications: 9.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.