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1,610 results for “economic”

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DOSE - Global dataset of reported subnational economic output

DOSE V2.11 is an update of DOSE V2. We made a few corrections and additions to the data where various users had identified gaps or inaccuracies. Please see 'DOSEV2.11_changes.pdf' for details.  DOSE – the MCC-PIK Database Of Sub-national Economic Output. DOSE v2 contains harmonised data on reported economic output for: <ul> <li>1,661 sub-national regions</li> <li>across 83 countries</li> <li>from 1953 to 2020</li> <li>with sectoral detail for the agricultural, manufacturing and services sectors.</li> </ul> To avoid interpolation, values were assembled from numerous statistical agencies, yearbooks and the literature and harmonised for both aggregate and sectoral output. In addition to regional economic output in local currency units (LCU) at current market prices as collected from the original data sources, DOSE contains per capita estimates in LCU and US dollars at both, current and 2015 market prices to enable comparison across time and space. Population data, market exchanges rates and deflator data used to generate them are included as well. Moreover, we provide temporally and spatially consistent data for regional boundaries, enabling matching with geo-spatial data such as climate observations. Annual temperature and precipitation data for each region are already included. Overall, DOSE provides the opportunity for detailed analyses of economic development at the subnational level, consistent with reported values. A peer-reviewed data descriptor with detailed documentation of the different data assembling, processing and validation steps as well as illustrative plots of the data set's coverage and examples for its application can be found here:  L. Wenz, R.D. Carr, N. Koegel, M. Kotz, M. Kalkuhl. <a href="https://rdcu.be/dfTPH">DOSE – Global data set of reported sub-national economic output</a>. Nature Scientific Data. 2023. https://doi.org/10.1038/s41597-023-02323-8

opencc-by-4.0Sep 2024View details →

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Figure 1 in Population fluctuation of some economically important mites on two mango cultivars in Qalyubia governorate, Egypt

Figure 1. Population fluctuation of plant-feeding and predacious mites on "Naomi" mango cultivar at Qalyubia governorate during 2020–2022 seasons.

opencc-by-4.0Jul 2023View details →

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Figure 2 in Population fluctuation of some economically important mites on two mango cultivars in Qalyubia governorate, Egypt

Figure 2. Population fluctuation of plant-feeding and predacious mites on "Heidi" mango cultivar at Qalyubia governorate during 2020–2022 seasons.

opencc-by-4.0Jul 2023View details →

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Techno-economic dataset for open modelling of decarbonization pathways in The Philippines

This file contains the data and data sources updated for the paper :   'The Philippines’ Energy Transition: Assessing Emerging Technology Options using OSeMOSYS (Open Source Energy Modelling System)' All other data in the model used for the paper is from the Philippines Starter Data kit (Allington, 2021). Renewable Energy Costs are updated from  (Alexander, 2023).

opencc-by-4.0Dec 2023View details →

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When Do Authoritarian Regimes Use Digital Technologies for Covert Repression? A Qualitative Comparative Analysis (QCA) of Politico-Economic Conditions

This is a replication dataset together with the QCA script used for the analysis of the article "When Do Authoritarian Regimes Use Digital Technologies for Covert Repression? A Qualitative Comparative Analysis (QCA) of Politico-Economic Conditions" submitted to the Swiss Political Science Review in 2024, for the special issue "Re-Authoritarianisation with Digital Means? Recent Developments in Digital Politics in East Central Europe and Central Asia". The package contains the following elements: 1) The original QCA dataset with references. 2) The supplementary dataset with the calculations related to autocratic linkages. 3) The R script used for the QCA.

opencc-by-4.0Jan 2024View details →

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Socio- and Techno-Economic Dataset for Energy Modelling in Sierra Leone

This repositary contains a Reference Energy Syatem (RES) and dataset containing the raw data used in the Sierra Leone energy models created by CCG and the Ministry of Energy in Sierra Leone including scenario-specific constraints used in the modelling. The models used were MAED and OSeMOSYS. Full information regarding data sources and assumptions used can be found in the corresponding Data in Brief. This work was supported by the Climate Compatible Growth Programme (#CCG) of the UK's Foreign Development and Commonwealth Office (FCDO). The views expressed in this paper do not necessarily reflect the UK government's official policies.

opencc-by-4.0Apr 2024View details →

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The Global and National Energy Systems Techno-Economic (GNESTE) Database: Economic and performance data for hydro power in current and future electricity systems

Here, we present a database which collates historical, current, and future cost and performance data and assumptions for hydroelectric generation from the open literature. Hydroelectric power is the largest source of renewable energy, supplying 15% of global electricity. The data are global in scope but with regional and national specificity, covers the years 2015 through to 2050, and span 1011 datapoints from 11 sources. The database enables modellers to select and justify model input data and provides a benchmark for comparing assumptions and projections to other sources across the literature to validate model inputs and outputs. It is designed to be easily updated with new sources of data, ensuring its utility, comprehensiveness, and broad applicability over time.  Technoeconomic data on utility-scale hydroelectric power was collected from websites, reports, academic articles and databases of national and international organisations.

opencc-by-4.0Mar 2024View details →

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The Global and National Energy Systems Techno-Economic (GNESTE) Database: Economic and performance data for battery storage in current and future electricity systems

Here, we present a database which collates historical, current, and future cost and performance data and assumptions for battery energy storage systems from the open literature. Battery energy storage is the fastest growing form of power system flexibility, and will be critical to integrating large shares of variable renewable energy. The data are global in scope but with regional and national specificity, covers the years 2015 through to 2050, and span 671 datapoints from 18 sources. The database enables modellers to select and justify model input data and provides a benchmark for comparing assumptions and projections to other sources across the literature to validate model inputs and outputs. It is designed to be easily updated with new sources of data, ensuring its utility, comprehensiveness, and broad applicability over time. Technoeconomic data on utility-scale batteries was collected from websites, reports, academic articles and databases of national and international organisations.

opencc-by-4.0Mar 2024View details →

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The Global and National Energy Systems Techno-Economic (GNESTE) Database: Economic and performance data for wind power in current and future electricity systems

Here, we present a database which collates historical, current, and future cost and performance data and assumptions for wind power generation from the open literature. Wind energy supplies 7% of global electricity, and production has grown three-fold in the decade to 2022. The data are global in scope but with regional and national specificity, covers the years 2015 through to 2050, and span 1506 datapoints from 28 sources. The database enables modellers to select and justify model input data and provides a benchmark for comparing assumptions and projections to other sources across the literature to validate model inputs and outputs. It is designed to be easily updated with new sources of data, ensuring its utility, comprehensiveness, and broad applicability over time. Technoeconomic data on utility-scale wind energy was collected from websites, reports, academic articles and databases of national and international organisations.

opencc-by-4.0Mar 2024View details →

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The Global and National Energy Systems Techno-Economic (GNESTE) Database: Economic and performance data for gas power in current and future electricity systems

Here, we present a database which collates historical, current, and future cost and performance data and assumptions for gas-fired power generation from the open literature. Natural gas supplies 23% of global electricity, but must be rapidly phased down to meet global decarbonisation objectives. The data are global in scope but with regional and national specificity, covers the years 2015 through to 2050, and span 620 datapoints from 14 sources.   The database enables modellers to select and justify model input data and provides a benchmark for comparing assumptions and projections to other sources across the literature to validate model inputs and outputs. It is designed to be easily updated with new sources of data, ensuring its utility, comprehensiveness, and broad applicability over time.Technoeconomic data on new-build gas-fired power generation was collected from websites, reports, academic articles and databases of national and international organisations.

opencc-by-4.0Mar 2024View details →

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The Global and National Energy Systems Techno-Economic (GNESTE) Database: Economic and performance data for coal power in current and future electricity systems

Here, we present a database which collates historical, current, and future cost and performance data and assumptions for coal-fired power generation from the open literature. Coal supplies 35% of global electricity, but must be rapidly phased down to meet global decarbonisation objectives. The data are global in scope but with regional and national specificity, covers the years 2015 through to 2050, and span 345 datapoints from 12 sources. The database enables modellers to select and justify model input data and provides a benchmark for comparing assumptions and projections to other sources across the literature to validate model inputs and outputs. It is designed to be easily updated with new sources of data, ensuring its utility, comprehensiveness, and broad applicability over time. Technoeconomic data on new-build coal-fired power generation was collected from websites, reports, academic articles and databases of national and international organisations.

opencc-by-4.0Mar 2024View details →

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The Global and National Energy Systems Techno-Economic (GNESTE) Database: Economic and performance data for solar power in current and future electricity systems

Here, we present a database which collates historical, current, and future cost and performance data and assumptions for solar power generation from the open literature. Solar energy supplies 5% of global electricity, and production has grown ten-fold in the decade to 2022. The data are global in scope but with regional and national specificity, covers the years 2015 through to 2050, and span 753 datapoints from 31 sources. The database enables modellers to select and justify model input data and provides a benchmark for comparing assumptions and projections to other sources across the literature to validate model inputs and outputs. It is designed to be easily updated with new sources of data, ensuring its utility, comprehensiveness, and broad applicability over time. Technoeconomic data on utility-scale solar PV was collected from websites, reports, academic articles and databases of national and international organisations.

opencc-by-4.0Mar 2024View details →

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Gridded socio-economic capitals for the SSPs

This repository contains global gridded projections of 6 socioeconomic capitals for the Shared Socioeconomic Pathways. Data are presented at 0.25 degree resolution.  A central goal of this data is to enable improved modelling of the human dimensions of the SSPs, particularly in a coupled socio-environmental context.  A paper describing these data is currently in review. If you wish to cite this rather than the data repository, please use: Perkins, O., Saxena, A., Millington, J.D.A., Brown, C., Seo, B. & Rounsevell, M. (in review). Global gridded data for the Shared Socio-economic Pathways. Socio-environmental systems modelling (in review).  Questions, comments and corrections to: oliver.perkins@kcl.ac.uk & ankita.saxena@kit.edu Key: Health and education are the relevant indices from the human development index; MA = Market access; WAP = Working age population; TES = total energy supply.

opencc-by-4.0Nov 2024View details →

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Global surface water quality datasets under uncertain climate and socio-economic change, derived from the dynamical surface water quality model (DynQual) at 5 arcmin spatial resolution

<pre>Global ~10km (5 arcmin) surface water quality data from the dynamical surface water quality model (DynQual) from 2005-2100, with annual and monthly temporal resolution. Simulations are made under three combined climate and socio-economic scenarios (SSP1-RCP2.6; SSP3-RCP7.0 and SSP5-RCP8.5) and using five general circulation model (GFDL-ESM4; UKESM1-0-LL; MPI-ESM1-2-hr; IPSL-CM6A-LR and MRI-ESM2-0), following the ISIMIP3b protocol (<a href="https://protocol.isimip.org/#/ISIMIP3b">https://protocol.isimip.org/#/ISIMIP3b</a>). Output data are provided at annual and monthly temporal resolution over WorldClim time periods (2005-2020; 2021-2040; 2041-2060; 2061-2080; 2081-2100). Output data includes: - Discharge (m3 s-1) - Water temperature (K) - Total dissolved solids (TDS) load (g s-1) - Biological oxygen demand (BOD) load (g s-1) - Fecal coliform (FC) load (million cfu s-1) - Salinity; as indicated by TDS concentrations (mg l-1) - Organic pollution; as indicated by BOD concentrations (mg l-1) - Pathogen/bacterial pollution; as indicated by FC concentrations (cfu 100ml-1) Note. A minimum discharge threshold of 0.1 m3 s-1 was used when computing TDS, BOD and FC concentrations, as uncertainties in absolute values of water availabilities have large impacts on resulting in-stream concentrations. Concentrations in these gridcells are assigned as NA. Full time series of these variables at 30 arcmin (0.5 degree) can be found at: <a href="https://zenodo.org/records/14677534">https://zenodo.org/records/14677534</a>.</pre>

opencc-by-4.0Apr 2023View details →

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Improved database of public-private partnerships from World Bank with imputed economic, institutional and conflict data.

The <a href="https://ppi.worldbank.org/en/ppi">World Bank's database</a> on private participation in infrastructure (PPI) projects provides detailed information on these initiatives. However, the original dataset includes imputed macro-level data for the countries that is outdated, lacks assigned ISO country codes, and is not linked to other standard country-level variables necessary for proper analysis and control by territory. In the improved version of the database, 10,958 project observations from 1900 to 2021 have been supplemented with ISO 2 and 3 country codes, enabling accurate integration with other databases. Additionally, 49 new variables related to <a href="https://data.worldbank.org/?cid=ECR_GA_worldbank_EN_EXTP_search&s_kwcid=AL!18468!3!704632427243!b!!g!!world%20bank%20projects&gad_source=1">economic</a>, <a href="https://www.worldbank.org/en/publication/worldwide-governance-indicators">institutional</a>, and <a href="https://www.start.umd.edu/gtd/">conflict data</a> are incorporated by country and year. This enhanced database ensures that researchers can retain critical World Bank information that might otherwise be lost in future updates, as it is not always preserved in repositories

opencc-by-4.0Aug 2024View details →

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FoodLAND - Dataset on producers' socio-economic conditions, operational and technological states, and behavioural experimental results

This submission derives from Work Package 3 "Producers' behaviours, agrobiodiversity, and food diversity" of the H2020 project FoodLAND "Food and Local, Agricultural and Nutritional Diversity" (2020-2025). It consists of two datasets, and two survey questionnaires used to gather these data (English version). The datasets include information about small crop and fish farmers, respectively, sampled in so-called Food Hubs (i.e., local production regions) in Morocco, Kenya, Tanzania, Tunisia, and Uganda. The crop farmers' data were collected in two Food Hubs in each country, while the fish farmers' data were collected in one Food Hub in each of Kenya and Uganda, plus a limited number of observations in Tanzania, in all the cases using standardised survey questionnaires. In one location in each of Morocco, Kenya, Tanzania and Tunisia, lab-in-the-field experiments were run with crop farmers, while in one location in Uganda the same experiments were run with fish farmers. The experimental protocols have been submitted separately. The datasets are provided as Excel Workbooks, while the questionnaires are provided in PDF format. Each dataset includes one sheet about "Conditions" (one row per farmer: 4,529 observations for crop farmers and 927 for fish farmers), one sheet about "Production" (one row per farmer and per up to three crops: 10,668 observations for crop farmers and 1,245 for fish farmers), and one sheet with the results of the behavioural experiments (one row per farmer: 1,987 observations for crop farmers and 406 for fish farmers).

embargoedcc-by-4.0Dec 2023View details →

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LCC - Datasets for PlastiCircle Economic Evaluation of the Light Packaging Waste Management

These datasets are related to deliverable 7.4 which presents the results from the economic assessment for the waste management systems evaluation of the city pilots and converter industries. PlastiCircle technologies allowed higher collection of plastic packaging and better input quality which might result in an increased market demand achieving the European recycling objectives. The higher volumes collected cause higher management costs which are compensated by higher remuneration from the PRO. The higher recovery resulted in higher recycling costs which are offset by higher revenues from sales. The evaluation of the industrial case studies indicates that the profitability of the production of industrial products using recycled post-consumer plastics is dependent of the market prices and the stability of the supply.

opencc-by-4.0Apr 2021View details →

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Modelled results for Potential Health and Economic Impacts of Shifting Manufacturing

Files include modelled 100-year annual mean aerosol concentrations, zonal wind and meridional wind in the baseline and sensitivity simulations.

opencc-by-4.0Apr 2022View details →

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CROSSBOW HLU2-UC6-TC1 Economical benefit of mFRR market participation with 5% of energy saved for upward regulation

The energy market participation algorithm of RES-CC allows for participating in DA/ID markets and balancing markets. The process uses the energy generation forecasting of the plants to generate the energy bids for the DA/ID market. With regards to the mFRR market, the whole amount of curtailable energy is offered for downward regulation. Additionally, the process is configurable so that it can save a given amount of the potential generation, do not offering this energy in the DA/ID market but offering it for upward regulation in the mFRR. This upward regulation can only be done with Renewables by means of not selling part of the forecasted energy. This is a risk, as the upward regulation energy might not be requested by the operator, and thus the profit for the generation will be lost. This dataset contains the results of the market participation algorithm running for a week, configured for offering 5% of the forecasted energy for upward regulation. Dataset contains the results for the CROSSBOW portfolios of Croatia, Bulgaria, Romania and Greece. For each country, hour by hour, the following information is provided: <ul> <li>Energy sold in IDM</li> <li>Forecasted generation</li> <li>Energy sold mFRR down</li> <li>Energy sold mFRR up</li> <li>Energy price mFRR down</li> <li>Energy price mFRR up</li> <li>Energy price in IDM</li> <li>Energy looses (saved and not sold in mFRR up)</li> </ul>

opencc-by-4.0Apr 2022View details →

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CROSSBOW HLU2-UC6-TC1 Economical benefit of mFRR market participation with 20% of energy saved for upward regulation

The energy market participation algorithm of RES-CC allows for participating in DA/ID markets and balancing markets. The process uses the energy generation forecasting of the plants to generate the energy bids for the DA/ID market. With regards to the mFRR market, the whole amount of curtailable energy is offered for downward regulation. Additionally, the process is configurable so that it can save a given amount of the potential generation, do not offering this energy in the DA/ID market but offering it for upward regulation in the mFRR. This upward regulation can only be done with Renewables by means of not selling part of the forecasted energy. This is a risk, as the upward regulation energy might not be requested by the operator, and thus the profit for the generation will be lost. This dataset contains the results of the market participation algorithm running for a week, configured for offering 20% of the forecasted energy for upward regulation. Dataset contains the results for the CROSSBOW portfolios of Croatia, Bulgaria, Romania and Greece. For each country, hour by hour, the following information is provided: <ul> <li>Energy sold in IDM</li> <li>Forecasted generation</li> <li>Energy sold mFRR down</li> <li>Energy sold mFRR up</li> <li>Energy price mFRR down</li> <li>Energy price mFRR up</li> <li>Energy price in IDM</li> <li>Energy looses (saved and not sold in mFRR up)</li> </ul>

opencc-by-4.0Apr 2022View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated datasets

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.

allen-brain-atlas

neuroscienceopenDocumentation, web resources, and API references are available online.

Last verified 2026-04-30Open record

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.

abode-home-cage

behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.

Last verified 2026-04-30Open record

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.

dandi-nwb

electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.

Last verified 2026-04-30Open record

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.

ibl

behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.

Last verified 2026-04-29Open record

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.

openneuro

neuroscienceopenPublished datasets are available on demand over the internet.

Last verified 2026-04-29Open record