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41 results for “Revenue”
North Temperate Lakes LTER: Lake District Revenues 1992 - 1996
Lake District revenues record one of the primary means of action available to lake districts. These districts are a form of special purpose district created by the state of Wisconsin in the early 1970s to address the specific problems of lake mangement not being addressed by existing governmental capacities. These districts are by statute granted the authority to levy property taxes, special assessments, special charges and delinquent charges against property owners within their geographic boundaries. This fund-raising authority gives to lake districts a capacity not only to raise substantial funds but to do so consistently over time, thereby alloting to them a practical capacity not readily available to other groups (such as lake associations) involved in lake management. Data are from years 1992 - 1996. Sampling Frequency: annually Number of sites: 190
Data for Figures 4, A-F and Table J of Publication "Blue skies over China: The effect of pollution-control on solar power generation and revenues"
<p>This repository contains the data to produce Figures 4, A-F and Table J and emission data in the paper:</p> <p>"Labordena M, Neubauer D, Folini D, Patt A, Lilliestam J (2018) Blue skies over China: The effect of pollution-control on solar power generation and revenues. PLoS ONE 13(11): e0207028. https://doi.org/10.1371/journal.pone.0207028"</p> <p>Note that the scripts are to be found in the accompanying package (https://doi.org/10.5281/zenodo.8130726)</p>
Historical Annual Revenue of Energy Storage on European Electricity Markets
<p>This dataset provides the optimized annual revenue for 96 generic storage technologies (12 efficiency x 8 discharge duration). It covers 17 European electricity markets for up to 16 years (Austria, AT; Belgium, BE; Switzerland, CH; Czech Republic, CZ; German, DE; Spain, ES; France, FR; Italy, IT; Ireland, IR; Netherlands, NL; Nordpool which includes Denmark, Estonia, Finland, Latvia, Lithuania, Norway, Sweden, NP; Poland, PL; Portugal, PT; Romania, RO; Slovakia, SK; United Kingdom, UK). The optimization is an adaptation of the model presented in Gaudard et al. [2013]. It assumes perfect foresight assumption and a stochastic algorithm. Therefore, the results are an approximation of the maximum rather than the absolute optimum. Further information is provided in "Gaudard L. and Madani K., Energy storage race: Has the monopoly of pumped-storage in Europe come to an end?, forthcoming". </p> <p>The following information is provided:</p> <p>Country: Code of the specific market (also the filename)</p> <p>Currency: The currency in which the results are expressed</p> <p>Discharge duration [hours]: The time required to empty at full nominal power a device that is fully charged. </p> <p>Efficiency: Ratio between the amount of discharged and charged energy during a full cycle.</p> <p>Year: From January 1st to December 31st.</p> <p>The given numbers are in euros or GBP per year and normalized to 1kWh of energy storage. This means that for a specific device, the given figures must be multiplied by the volume of energy storage (in terms of kWh). As an example, for an energy device with the efficiency of 0.95, discharge duration of 6h and volume of energy storage of 2000kWh, the revenues in 2003 in Austria would be 9.26 x 2000=18520 euros. </p> <p>For any questions or further requirements, please feel free to get in touch with the authors.</p>
Data and statistical code for "Reconciling biodiversity with timber production and revenue via an intensive forest management experiment"
<p><strong>Abstract</strong></p> <p>Understanding how land-management intensification shapes the relationships between biodiversity, yield and economic benefit is critical for managing natural resources. Yet, manipulative experiments that test how herbicides affect these relationships are scarce, particularly in forest ecosystems where considerable time lags exist between harvest revenue and initial investments. We assessed these relationships by combining 7 years of biodiversity surveys (>800 taxa) and forecasts of timber yield and economic return from a replicated, large-scale experiment that manipulated herbicide application intensity in operational timber plantations. Herbicides reduced species richness across trophic groups (-18%), but responses by higher-level trophic groups were more variable (0–38% reduction) than plant responses (-40%). Financial discounting, a conventional economic method to standardize past and future cashflows, strongly modified biodiversity-revenue relationships caused by management intensity. Despite a projected 28% timber yield gain with herbicides, biodiversity-revenue tradeoffs were muted when opportunity costs were high (i.e., economic discount rates ≥7%). Although herbicides can drive biodiversity-yield tradeoffs, under certain conditions, financial discounting provides opportunities to reconcile biodiversity conservation with revenue.</p>
Danish case study simulation results (consumption, offered & accepted flexibility, revenues & expenses)
<p>This file contains results of the simulations of the Danish case study generated during Horizon 2020 MAGNITUDE project. The case study considers the provision of domestic hot water from 350 heat pumps installed in multi-storey apartment buildings. Heat pumps receive energy from electrical grid and use heat from ultra-low temperature district heating (ULTDH) as heat source. The overall system is referred to as Multi-Energy System (MES). MES can provide flexibility to either intra-day (ID) market or redispatch (RE) services to local distribution system operator. Results show how much flexibility was offered and activated, and the resulting consumption and production profiles due to that. In addition, the revenues and expenses based on the historical prices for Denmark in 2018 had been calculated.</p>
Research data - taxonomy for revenue models of platform business models (C2E)
<p>Research data to develop a taxonomy of revenue models for platform business models following a conceptual-to-empirical approach.</p>
Research data - taxonomy for platform revenue models (E2C)
<p>Research data to develop a taxonomy of revenue models for platform business models following an empirical-to-conceptual approach.</p>
Sci-Fi movies by inflation-adjusted gross revenue in the United States.
<p>Sci-Fi movies by inflation-adjusted gross revenue in the United States.</p> <p>The dataset is a .csv file with < ; >used as separator.</p> <p>The dataset has the next columns:</p> <ul> <li>Title: movie title.</li> <li>Release_Year: year of the movie's release.</li> <li>Watchtime: movie duration in minutes.</li> <li>Genre: genre.</li> <li>Movie_Rating: IMDB movie rating.</li> <li>Metascore: metacritic movie rating.</li> <li>Votes: number of ratings.</li> <li>Gross_collection: incomes generated by the movie.</li> <li>Sinopsis.</li> <li>Director.</li> <li>Star: main actors.</li> <li>Gross_equivalent: income generated by movies with dollar devaluation correction.</li> </ul> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Data from: A burning issue: Savanna fire management can generate enough carbon revenue to help restore Africa's rangelands and fill Protected Area funding gaps
<p>Many savanna-dependent species in Africa including large herbivores and apex predators are at increasing risk of extinction. Achieving effective management of protected areas (PAs) in Africa where lions live will cost an estimated USD >$1-2 B/year in new funding. We explored the potential for fire management-based carbon-financing programs to fill this funding gap and benefit degrading savanna ecosystems. We demonstrated how introducing early dry season fire management programs could produce potential carbon revenues (PCR) from either a single carbon-financing method (avoided emissions) or from multiple sequestration methods ranging from USD $59.6-$655.9 M/year (at USD $5/ton) or USD $155.0 M–$1.7 B/year (at USD $13/ton). We highlighted variable but significant PCR for savanna PAs from USD $1.5–$44.4 M/year per PA. We suggest investing in fire management programs to jump-start the United Nations Decade of Ecological Restoration to help restore degraded African savannas and conserve imperiled keystone herbivores and apex predators. <br> <br> Open Access article: <a href="https://doi.org/10.1016/j.oneear.2021.11.013">https://doi.org/10.1016/j.oneear.2021.11.013</a></p>
CROSSBOW HLU3-UC1-TC1 Energy arbitrage revenues for storage asset
<p>In the process of energy arbitrage described in HLU3_UC3, storage assets buy energy from RES assets in valley price periods and later on sell this energy in peak price periods, thus earning some money for the shifting of the energy consumption to the periods were it more demanded (higher prices). The total benefits for the storage asset have some factors into account:</p> <ul> <li>The energy acquisition (charge) is only happening is there is possibility to sold (discharge) the energy in a near future with benefits (higher price)</li> <li>The energy is paid in the storage market at a price that compensate the RES owners for the low prices in the DA/ID markets. The energy is bought at the DA/ID market at the existing price</li> <li>Energy stored is sold in the most beneficial periods</li> </ul> <p>The dataset contains the revenues theoretically obtained in the DA/ID markets and the real revenues obtained considering the bilateral agreement with the storage asset. Fields:</p> <ul> <li>Time</li> <li>Payments: cost of the energy bought (including both markets)</li> <li>Revenues: earning for the energy sold</li> <li>Balance: revenues - payments</li> </ul>
CROSSBOW HLU3-UC3-TC1 Energy arbitrage revenues for RES portfolio
<p>In the process of energy arbitrage described in HLU3_UC3, the RES BSPs manages to be paid for their generation at least with a proce equal to its generation cost (40€ in the demonstration). This is achieved by:</p> <ul> <li>Selling their production in the DA/ID at the market price (price < 40€ in the demonstration)</li> <li>Selling their production in the storage market at a price that covers the gap until the generation cost (40€ in the demonstration). This is a financial market that do not imply real energy exchange, but allows for bilateral agreements between RES plants and storage assets</li> </ul> <p>The dataset contains the revenues theoretically obtained in the DA/ID markets and the real revenues obtained considering the bilateral agreement with the storage asset. Fields:</p> <ul> <li>Time</li> <li>Theorical Revenues</li> <li>Real revenues</li> </ul>
Webis-Revenue-10
<p>The corpus consists of 1,128 German news articles from the years 2003 to 2009, collected from 29 general and business news websites. In each article, statements on the revenue of companies or markets were manually annotated, i.e., sentences and entities that refer to a statement are tagged and linked to each other.</p> <p>Here is an example of a revenue statement from the corpus:</p> <p>Loewe AG: Vorläufige Neun-Monats-Zahlen<br> Kronach, [6. November 2007]<sub>REF</sub> - Das Ergebnis vor Zinsen und Steuern (EBIT) des Loewe Konzerns konnte in den ersten 9 Monaten 2007 um 41% gesteigert werden. Vor diesem Hintergrund hebt die [Loewe AG]<sub>ORG </sub>ihre EBIT-Prognose für das laufende Geschäftsjahr auf 20 Mio. Euro an. <strong>Beim Umsatz strebt Konzernchef [Rainer Hecker]</strong><sub><strong>AUTH</strong></sub><strong> </strong><strong>[für das Gesamtjahr]</strong><sub><strong>TIME</strong></sub><strong> ein höher als ursprünglich geplantes [Wachstum]</strong><sub><strong>TREND</strong></sub><strong> [von 10% auf ca. 380 Mio. Euro]</strong><sub><strong>MONEY</strong></sub><strong> an.</strong> (...)</p> <p>A revenue statement comprises seven attributes:</p> <ul> <li><em>Forecast/Declaration</em>: A sentence that represents a forecast or declaration on revenue.</li> <li><em>Organization/Market</em>: The subject of the statement, i.e., either an organization or market.</li> <li><em>Time Expression</em>: The period of time referenced by the statement.</li> <li><em>Reference Point</em>: The point in time when the statement was issued (used to resolute relative time expressions). </li> <li><em>Money Expression</em>: The monetary value referenced by the statement.</li> <li><em>Author</em>: The holder of the statement.</li> <li><em>Trend</em>: A word that indicates the trend of the monetary entity.</li> </ul> <p>A total of 2,075 statements have been annotated by domain experts. For more information on the construction of the dataset see the documentation.</p>
AEMO - NEM generation, demand, price, coal generator revenues and other data (30-min frequency), July 2017-June 2021
<p>This dataset includes 30-minute generation, demand, RRP data as well as data on coal generator revenues in the NEM between 1 July 2017 and 30 June 2021. Raw data originate from AEMO and OpenNEM and were assembled by the authors.</p>
Movie Revenue Dataset
<p><strong>Purpose</strong></p> <p>The boxplot shows the movie revenues by months with the movies released in 2008-2017. According to the boxplot, the movies released in July tend to show higher revenue, while the movies released in May tend to have lower revenue.</p> <p>The scatterplot shows the relationship between the movie revenues and the movie budgets with the movies released in 2008-2017. According to the scatterplot, the higher budget tends to result in higher revenue.</p> <p><strong>Dataset</strong></p> <p><a href="https://www.kaggle.com/stephanerappeneau/350-000-movies-from-themoviedborg">https://www.kaggle.com/stephanerappeneau/350-000-movies-from-themoviedborg</a></p>
PMPML Revenue Dataset
<p>It contains records of revenue collected by the buses running on Route No. 27( Bharti Vidyapeeth to Shivaji Nagar) and Route No. 2 ( Katraj to Shivaji Nagar). The attributes of the dataset are Date, Bus No., Revenue, Time and Route No. </p> <p>There are 337 records in the dataset representing revenue collected for a single day on these routes.</p> <p>Special thanks to PMPML Swargate Depot for providing a dataset for academic purpose.</p>
Citizen science project on urban canids provides different results from camera traps but generates interest and revenue
Open the record for dataset details and reuse information.
Reduce revenue vs. increase expenditure: Fires and plant invasion drive soil carbon loss with different mechanisms in a Mediterranean shrubland
Open the record for dataset details and reuse information.
IO Islamic 089. The Revenues of the Muḥammadâbâd Bîdar, Full Statistical Tables of the Assessment of All the Various Provinces
<p>IO Islamic 089. The Revenues of the Muḥammadâbâd Bîdar, Full Statistical Tables of the Assessment of All the Various Provinces</p>
IO Islamic 1632. The Revenues of the Khândîsh, Full Statistical Tables of the Assessment of All the Various Provinces
<p>IO Islamic 1632. The Revenues of the Khândîsh, Full Statistical Tables of the Assessment of All the Various Provinces</p>
IO Islamic 1707. The Revenues of the Barâr, Full Statistical Tables of the Assessment of All the Various Provinces
<p>IO Islamic 1707. The Revenues of the Barâr, Full Statistical Tables of the Assessment of All the Various Provinces</p>
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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.