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8,375 results for “nationalism”

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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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Figure 1 – Parc National d in The potential of Malaise traps as an important tool in butterfly (Lepidoptera, Papilionoidea) inventories, based on studies conducted in Republic of Congo

Figure 1 – Parc National d'Nouabalé-Ndoki (PNNN) and the surrounding Unité Forestière d'Aménagement. Sampling localities: 1. Mombongo Camp; 2. Bomassa Forest; 3. Wali Forest; 4. Mondika Camp; 5. Mbeli Camp; 6. Ndoki Formation; 7. Makao Forest.

opencc-by-4.0Jul 2024View details →

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Aggregate Dataset on Descriptive Representation in the French National Assembly (2012-2022)

This is the dataset aggregated at the legislature/party level by the CSIC team from the individual-level data provided by the Sciences Po and CSIC teams on descriptive representation in the French lower chamber of Parliament for WP4 of the ActEU project.

opencc-by-nc-4.0Sep 2024View details →

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Solar and meteorological data collected from the Plaine des Palmistes Parc National station (La Réunion) by the ENERGY-Lab at the University of La Reunion between December 2018 and December 2024

Scientific data provided by ENERGY-Lab located at the University of La Reunion. These data come from solar and meteorological stations present in the following territories: La Reunion, Comoros, Madagascar, Mauritius, Seychelles and South Africa. A THREDDS Data Server was created as part of the IOS-net (Indian Ocean Solar Network, https://galilee.univ-reunion.fr) project which aims to study the solar field and the optimisation of intelligent solar energy systems in the countries of the IOC (Indian Ocean Commission). These data are served by Unidata's Thematic Realtime Environmental Distributed Data Services (THREDDS) Data Server (TDS) in a variety of interoperable data services and output formats. Dataset is available from the THREDDS Data Server to this url: <a href="https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html"> https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html</a>. Data are also viewable and exploitable on the mobile application of the IOS-net project. The SolarIO app is downloadable in all stores. ENERGY-Lab data may be reused, provided that related metadata explaining the data has been reviewed by the user, and that the data are appropriately acknowledged.

opencc-by-4.0Feb 2024View details →

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National Flood Insurance Program Community Rating System Net Load

The Community Rating System in the National Flood Insurance Program provides discounts to policyholders. However, the discount is cross-subsidized within each state meaning that some policyholders are paying higher insurance premiums that what is actuarially sound and are subsidizing the policies of others. This dataset shows how much the average policy in a county is benefiting from the cross-subsidization (negative net CRS load) or paying extra (positive net CRS load). All datasets were generated using the code in the <a href="https://github.com/ddusseau/NetCRSLoad">NetCRSLoad Github repository</a>.    File descriptions are below: NFIP_crs_2025-01-01.csv - The processed National Flood Insurance Program policies dataset. HE_Rural_Capacity_Index_March_2024_Download_Data.csv - Headwater Economics Rural Capacity Index dataset. https://headwaterseconomics.org/equity/rural-capacity-map/.  fema_risk-rating-2.0_exhibits-2-3-4.xlsx - National Flood Insurance Program Risk Rating 2.0 Single-Family Homes policies data. https://www.fema.gov/flood-insurance/work-with-nfip/risk-rating/single-family-home.  state_fips_master.csv - FIPS codes for states. cb_2018_us_county_20m_netCRSload_2025-01-01.shp - Community Rating System net load averaged at the county level for NFIP policies in force on January 31, 2024. The "net_crs_lo" field represents the net load in dollar amounts. The "crsLoadPct" field represents the net load as a percent. cb_2018_us_county_20m_netCRSload_RR2.shp - Community Rating System net load averaged at the county level for NFIP single-family home policies under Risk Rating 2.0. The "net_crs_lo" field represents the net load in dollar amounts. The "crsLoadPct" field represents the net load as a percent. cb_2018_us_county_20m.shp - The county geospatial boundaries from the US Census. https://www.census.gov/geographies/reference-files/2020/demo/popest/2020-fips.html.

opencc-by-4.0Jul 2024View details →

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