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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    This dataset contains the data displayed in the figures or the article "High-resolution projections of ambient heat for major European cities using different heat metrics". The different files contain: Data_Fig1_DeltaTXx_EURO-CORDEX_1981-2010_to_3K-European-warming_RCP85.nc: Change of yearly maximum temperature in Europe between 1981-2010 and 3 °C European warming relative to 1981-2010. Data_Fig2_timeseries-GSAT-ESAT_EURO-CORDEX_CMIP5_CMIP6_1971-2100_RCP85_SSP585.xlsx: Time series of global mean surface air temperature (GSAT) for CMIP5 and CMIP6 models, and for European mean surface air temperature (ESAT) for EURO-CORDEX, CMIP5, and CMIP6 models for the period 1971-2100. Data_Fig3_TX-distribution_distance-from-city-centre_E-OBS_1981-2010.xlsx: Distribution of average daily maximum temperature in summer (June, July, August) in 1981-2010 for E-OBS for all investigated cities. Temperature data are indicated as a function of the distance to the city centre. Data_Fig3_TX-distribution_distance-from-city-centre_ERA5-Land_1981-2010.xlsx: Distribution of average daily maximum temperature in summer (June, July, August) in 1981-2010 for ERA5-Land for all investigated cities. Temperature data are indicated as a function of the distance to the city centre. Data_Fig3_TX-distribution_distance-from-city-centre_EURO-CORDEX_1981-2010.xlsx: Distribution of average daily maximum temperature in summer (June, July, August) in 1981-2010 for the EURO-CORDEX models for all investigated cities. Temperature data are indicated as a function of the distance to the city centre. Data_Fig3_TX-distribution_distance-from-city-centre_weather-stations_1981-2010.xlsx: Distribution of average daily maximum temperature in summer (June, July, August) in 1981-2010 for GSOD and ECA&D stations for all investigated cities. Temperature data are indicated as a function of the distance to the city centre. Data_Fig4_TX-ambient-heat_EURO-CORDEX_3K-European-warming.xlsx: Daytime heat metrics for the investigated cities: HWMId-TX at 3 °C European warming relative to 1981-2010, TX exceedances above 30 °C at 3 °C European warming relative to 1981-2010, and TXx change between 1981-2010 and 3 °C European warming relative to 1981-2010 for EURO-CORDEX models. Data_Fig5_Contribution-of-explanatory-variables-to-total-explained-variance.xlsx: Contribution of different explanatory variables (climate and location factors) to the total explained variance of spatial patterns of heat metrics. Data_Fig6_TN-ambient-heat_EURO-CORDEX_3K-European-warming.xlsx: Nighttime heat metrics for the investigated cities: HWMId-TN at 3 °C European warming relative to 1981-2010, TN exceedances above 20 °C at 3 °C European warming relative to 1981-2010, and TNx change between 1981-2010 and 3 °C European warming relative to 1981-2010 for EURO-CORDEX models. Data_Fig7_TX-ambient-heat_CMIP5_3K-European-warming.xlsx: Daytime heat metrics for the investigated cities: HWMId-TX at 3 °C European warming relative to 1981-2010, TX exceedances above 30 °C at 3 °C European warming relative to 1981-2010, and TXx change between 1981-2010 and 3 °C European warming relative to 1981-2010 for CMIP5 models. Data_Fig7_TX-ambient-heat_CMIP6_3K-European-warming.xlsx: Daytime heat metrics for the investigated cities: HWMId-TX at 3 °C European warming relative to 1981-2010, TX exceedances above 30 °C at 3 °C European warming relative to 1981-2010, and TXx change between 1981-2010 and 3 °C European warming relative to 1981-2010 for CMIP6 models. Data_Fig8_GCM-RCM-matrix_ambient-heat_3K-European-warming.xlsx: GCM-RCM matrices for the three heat metrics.

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    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: Datacite
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    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: Datacite
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    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: ZENODO
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: ZENODO
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    This file contains the data and the STATA estimation code to replicate the results in the article entitled: "Information Communication Technology development and energy demand in African countries".

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Mendeley Dataarrow_drop_down
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    Mendeley Data
    Dataset . 2019
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Mendeley Data
    Dataset . 2019
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Mendeley Data
    Dataset . 2019
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Mendeley Data
    Dataset . 2019
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    B2FIND
    Dataset . 2019
    Data sources: B2FIND
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Mendeley Dataarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Mendeley Data
      Dataset . 2019
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Mendeley Data
      Dataset . 2019
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Mendeley Data
      Dataset . 2019
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Mendeley Data
      Dataset . 2019
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      B2FIND
      Dataset . 2019
      Data sources: B2FIND
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: María de la Paz Diulio (10410087); Gabriela Reus Netto (10410090); Roberto Berardi (75497); Jorge Daniel Czajkowski (10410093);

    Abstract The metropolitan area of La Plata, Argentina, represents 1.6% of households in Argentina. Based on the analysis of the energy retrofit of a house, we provide indicators in order to propose a methodology that facilitates the extrapolation, at regional level, of the impact of a general energy retrofit in homes. The results obtained are presented from micro to macro level, in context of energy shortage and recurrent crisis in the supply of fuels and electricity in Argentina. The improved thermal resistance of walls and ceilings throughout the residential park of La Plata lead to a reduction of 12% of the energy consumed in heating, and a saving of 30,000 TEP / year. We conclude that the incidence of additional insulation on the cost of building justifies its use, partially solving the lack of fuel in our country, reducing fixed costs in housing, providing thermal comfort to users and generating economic reactivation of the construction sector.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ figsharearrow_drop_down
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    figshare
    Dataset . 2021
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    figshare
    Dataset . 2021
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Smithsonian figshare
    Dataset . 2016
    License: CC BY
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ figsharearrow_drop_down
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      figshare
      Dataset . 2021
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      figshare
      Dataset . 2021
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Smithsonian figshare
      Dataset . 2016
      License: CC BY
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    This data presents an experimental investigation carried out in a Boundary Layer Wind Tunnel located at Ruhr University Bochum, Germany. The flow field is measured above the rooftop of a high-rise building with a square cross-section considering two different roof shapes, flat roof and deck roof. The height-to-width ratio of the building was 1:3. The main purpose is to be used for estimation of urban wind energy potential, and besides for future validation of computational fluid dynamic simulations. Besides velocity field, measured at mainly three positions above the roof, the roof surface pressure was also measured. The flow above the roof was measured for different wind angles: 0°, 15°, 30°, and 45°.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Mendeley Dataarrow_drop_down
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    Mendeley Data
    Dataset . 2020
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Mendeley Data
    Dataset . 2020
    License: CC BY
    Data sources: Datacite
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      Mendeley Data
      Dataset . 2020
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Mendeley Data
      Dataset . 2020
      License: CC BY
      Data sources: Datacite
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    Authors: Minx, Jan C.; Lamb, William F.; Andrew, Robbie M.; Canadell, Josep G.; +13 Authors

    Comprehensive and reliable information on anthropogenic sources of greenhouse gas emissions is required to track progress towards keeping warming well below 2°C as agreed upon in the Paris Agreement. Here we provide a dataset on anthropogenic GHG emissions 1970-2019 with a broad country and sector coverage. We build the dataset from recent releases from the “Emissions Database for Global Atmospheric Research” (EDGAR) for CO2 emissions from fossil fuel combustion and industry (FFI), CH4 emissions, N2O emissions, and fluorinated gases and use a well-established fast-track method to extend this dataset from 2018 to 2019. We complement this with information on net CO2 emissions from land use, land-use change and forestry (LULUCF) from three available bookkeeping models.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    Dataset . 2021
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2021
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2021
    License: CC BY
    Data sources: Datacite
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    Authors: Zhuo, Zhenyu;

    This dataset provides the data applied in the case studies of the manuscript "Backcasting the Techno-economic Targets For Constructing Low-carbon Power Systems". Both the modified Garver’s 6-bus and realistic Northwest China power system are presented here, in two excel files respectively. The datasets include detailed information about buses, units, existing corridors, and candidate corridors.Average cost variations and load growth rate over the planning period are also provided.

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    IEEE DataPort
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  • Authors: Observa;

    #Observa opinion polls: #---------------------- # #From 1967 and onwards Observa has carried out a number of opinion polls, i.e. surveys of attitudes and habits of life, partly through so-called political index polls (postal panel surveys) and partly through more extensive attitudinal surveys based on interviews. The political index polls have been carried out regularly in the period (approx. 10 times a year), whereas the attitudinal surveys have been carried out quarterly in the period 1969 to 1972. The current data collection of similar data material over a long period of time makes it possible to carry out various kinds of time series analyses, especially as regards party preference. #Other subjects are usually treated more superficially owing to the conditions under which the surveys are carried out (they are designed for publication in daily papers so the main emphasis has been put on topical issues, and only subjects which may be dealt with by means of a limited number of questions are included). #Until 1971 the political index polls were carried out for the daily paper Aktuelt; from 1972 for the daily paper Morgenavisen Jyllands-Posten. The attitudinal surveys have been carried out exclusively for Jyllands-Posten. # #Observa Political Index Polls, 1978: #------------------------------------ #In 1978 Observa carried out 10 political index polls. All the questions from these surveys are found in DDA-0981: Observa Political Index Polls, 1978. In addition, the individual political index polls, which contain questions on topical issues, are found in DDA-0982 to DDA-0991. # #The individual political index polls deal with the following topical issues: # #Observa Political Index Polls 1978: February (DDA-0982): #Participation in and vote at the local election on 7 March, 1978; the postponement of the proposed clearing of Christiania; priority ordering of great investments: a bridge over the Great Belt, the introduction of North Sea gas, the introduction of nuclear power, an extension of the motorway system, electric trains for DSB (the Danish State Railways); subscription to 'Falck' (a private salvage corps); the transfer of 'De Danske Redningskorps' (The Danish Salvage Corps) to public control; income regulation of old-age pension; morning prayers in primary school; school children in household; and magazines and weeklies. # #Observa Political Index Polls 1978: March (DDA-0983): #The trial against Mogens Glistrup, political persecution and the sentence at the city court; who is to decide whether an MP is worthy of being a member of Parliament; assessment of the members of the Government; assessment of the proposals of the Child Commission (Børnekommissionen), of the Equality Commission (Ligestillingskommissionen) and of the Central Education Council (Det Centrale Uddannelsesråd); smoking habits; the 'smokeless day'; and magazines and weeklies. # #Observa Political Index Polls 1978: April (DDA-0984): #For or against Danish membership of the EC at a hypothetical referendum today; forms of address (the deferential 'De' versus the familiar 'du'); political information on Radio Denmark; personal well-being (e.g. rested, stressed); alcohol consumption; the quality of beef and pork and the consumption of pork as compared with last year; growing of vegetables and fruit; and magazines and weeklies. # #Observa Political Index Polls 1978: May (DDA-0985): #Summer holidays; acts of violence, if any, against the respondent or the respondent's family and acquaintances; the Government's proposed measures to combat unemployment; whether the respondent is unemployed or is afraid of becoming unemployed; for or against nuclear power stations in Denmark at a hypothetical referendum today; for or against a lowering of the electoral age to 18 at a hypothetical referendum today; assessment of the members of the Government; the size of the police force; and magazines and weeklies. # #Observa Political Index Polls 1978: June (DDA-0986): #Assessment of the Government's performance; assessment of the performance of the opposition; personal pressure; football World Cup on TV; the negotiations between the Social Democratic Party and the non-Socialist parties concerning the formation of a majority government; the issuing of writs for a general election; the work of master artisans; evening meals (refreshments) and weekend guests; and magazines and weeklies. # #Observa Political Index Polls 1978: August (DDA-0987): #A bridge over the Great Belt; a government coalition of the Social Democratic Party and the Liberal Party; for or against a lowering of the electoral age to 18 at the referendum on 19 September, 1978; alcohol consumption; purchase of tax-free alcohol and wine; shopping in discount shops; and magazines and weeklies. # #Observa Political Index Polls 1978: September (DDA-0988): #For or against a lowering of the electoral age to 18 at a hypothetical referendum today; the government coalition of the Social Democratic Party and the Liberal Party; the Act on an increase of VAT and the Act on price and profits freeze; the impact of the economic situation on employment; the strikes in connection with the formation of the new Government; the disagreement between Anker Jørgensen and Thomas Nielsen (chairman of LO - the Danish Trades Union Congress); for or against nuclear power stations in Denmark at a hypothetical referendum today; a bridge over the Great Belt; spare time activities; Radio News; and magazines and weeklies. # #Observa Political Index Polls 1978: October (DDA-0989): #For or against Danish membership of the EC at a hypothetical referendum today; the proposal of the Social Democratic Party and LO (the Danish Trades Union Congress) concerning economic industrial democracy, profit sharing and a central fund; a permanent peace in the Middle East after the Camp David peace talks; an extension of the EC (attitude to Portugal, Spain and Greece becoming members of the EC); Danish development aid; marital status; the general claims for the coming collective bargaining; the distribution of housework between husband and wife; employment status; assessment of President Carter; and magazines and weeklies. # #Observa Political Index Polls 1978: November (DDA-0990): #Assessment of the Act on voluntary early retirement pay, the impact of this Act on employment and the possibility of the respondent's retiring on voluntary early retirement pay; the release by the municipalities of personal code numbers of social clients and other citizens to Danmarks Statistik; professional football; the purchase of coal from South Africa; winter holidays; book reading habits; the 'm/k' (male/female) designation; and magazines and weeklies. # #Observa Political Index Polls 1978: December (DDA-0991): #Assessment of Anker Jørgensen as prime minister; Danish and arithmetic instruction in primary school; the optional state-controlled leaving examination in primary school; the abolition of marks and examinations in primary school; the abolition of the examination in Latin; Christmas Eve; children in household; pocket money for children (amount and method); Christmas present expenditure; expectations of 1979 (personal financial situation, the country's economic situation, the world situation); and magazines and weeklies Observas opinionsundersøgelser: ------------------------------- Observa har fra 1967 gennemført undersøgelser af holdninger og livsvaner, dels gennem såkaldte prøvevalg (postale valgpanelsundersøgelser) dels gennem mere omfattende interviewbaserede indstillingsundersøgelser. Prøvevalgsundersøgelserne er foretaget jævnligt i hele perioden (ca. 10 gange hvert år), medens indstillingsundersøgelserne kun blev foretaget kvartalsvist i årene 1969 til 1972. Det lange tidsrum med jævnligt indsamlede, ensartede datamaterialer giver muligheder for forskellige tidsserieanalyser, især hvad angår partipræferencer. Andre emner er sædvanligvis mere flygtigt behandlede pga. de vilkår, hvorunder undersøgelserne er foretaget (de er tilrettelagt med offentliggørelse i dagspressen for øje, det dagsaktuelle har været betonet, og emnerne er begrænset til problemkredse, der lader sig beskrive med et mindre antal spørgsmål). Prøvevalgene gennemførtes indtil udgangen af 1971 for dagbladet Aktuelt og fra 1972 for Morgenavisen Jyllands-Posten. Indstillingsundersøgelserne blev udelukkende gennemført for Jyllands-Posten. Observa Prøvevalg 1978: ---------------------- I 1978 gennemførte Observa i alt 10 prøvevalg. Enslydende spørgsmål, omhandlende demografiske forhold samt partipræference, er i DDA samlet i undersøgelsen DDA-0981 Observa Prøvevalg 1978, mens de enkelte, fuldstændige prøvevalg, der indeholder forskellige aktuelle spørgsmål, findes som DDA-0982 til DDA-0991. De enkelte prøvevalg omhandler flg. aktuelle emner: DDA-0982 Observa Prøvevalg 1978, februar-undersøgelsen: Partipræference i dag; deltagelse i og stemmeafgivelse ved kommunalvalget og amtsrådsvalget den 7. marts; udskydelsen af rømningen af Christiania; prioritering af de store investeringsplaner: Storebæltsbroen, indførelse af naturgas, indførelse af atomkraft, udbygning af motorvejsnettet, el-drift for DSB; abonnement på Falck i husstanden; overgang af De Danske Redningskorps til det offentlige; indtægtsbestemmelse af folkepensionen; morgenbøn og morgensang i folkeskolen; skolesøgende børn i husstanden; samt læsning af ugeblade. DDA-0983 Observa Prøvevalg 1978, marts-undersøgelsen: Partipræference i dag; om retssagen mod Mogens Glistrup er politisk forfølgelse, byrettens dom; hvem skal afgøre, om et folketingsmedlem er værdigt til at sidde i Folketinget; vurdering af regeringens medlemmer; vurdering af forslag fra Børnekommissionen, Ligestillingskommissionen og det centrale uddannelsesråd; rygevaner; røgfri dag; samt læsning af ugeblade. DDA-0984 Observa Prøvevalg 1978, april-undersøgelsen: Partipræference i dag; for eller imod Danmarks medlemskab af Fællesmarkedet ved en folkeafstemning i dag; tiltaleformerne du og De; Danmarks Radio''s politiske orientering; personligt velbefindende (fx udhvilet, stresset); nydelse af spiritus; kvaliteten af oksekød og svinekød; forbrug af svinekød nu i forhold til tidligere; samt dyrkning af grøntsager og frugt. DDA-0985 Observa Prøvevalg 1978, maj-undersøgelsen: Partipræfernce i dag; tilbringelse af sommerferie; eventuelle voldshandlinger mod respondenten eller dennes familie eller bekendte; regeringens forslag til nedbringelse af arbejdsløsheden; personlig arbejdsløshed; ja eller nej til atomkraftværker ved en folkeafstemning i dag; ja eller nej til 18 års valgret ved en folkeafstemning i dag; vurdering af regeringens medlemmer; politistyrkens størrelse; samt graden af tillid til politiet. DDA-0986 Observa Prøvevalg 1978, juni-undersøgelsen: Partipræference i dag; vurdering af regeringens virke; vurdering af oppositionens virke; personlig travlhed; VM-fodbold i TV; forhandlinger mellem Socialdemokratiet og de borgerlige partier om dannelse af en flertalsregering; udskrivning af folketingsvalg; håndværkeres arbejde og pålidelighed; aftensmåltider, forfriskninger og gæster i weekenden; samt læsning af ugeblade. DDA-0987 Observa Prøvevalg 1978, august-undersøgelsen: Partipræference i dag; Storebæltsbroen; regeringssamarbejde mellem Socialdemokratiet og Venstre; ja eller nej til 18 års valgret ved folkeafstemningen den 19. september; nydelse af spiritus; beholdning af spiritus; indkøb af afgiftsfri spiritus/vin; indkøb i lavprisvarehuse/billibutikker; samt læsning af ugeblade. DDA-0988 Observa Prøvevalg 1978, september-undersøgelsen: Partipræference i dag; ja eller nej til 18 års valgret ved en folkeafstemning i dag; regeringssamarbejdet mellem Socialdemokratiet og Venstre; lov om forhøjelse af momsen og lov om pris- og avancestop, virkning på den økonomiske situation og på beskæftigelsen; arbejdsnedlæggelserne i forbindelse med dannelsen af den nye regering; kløften mellem statsminister Anker Jørgensen og LOs formand Thomas Nielsen; ja eller nej til atomkraftværker ved en folkeafstemning i dag; Storebæltsbroen; deltagelse i fritidsaktiviteter; radioaviserne; samt læsning af ugeblade. DDA-0989 Observa Prøvevalg 1978, oktober-undersøgelsen: Partipræference i dag; for eller imod Danmarks medlemskab af Fællesmarkedet ved en folkeafstemning i dag; Socialdemokratiets og LOs forslag om økonomisk demokrati, overskudsdeling, en central fond; varig fred i Mellemøsten efter Camp David aftalerne; udvidelse af Fællesmarkedet med Portugal, Spanien og Grækenland; dansk u-landsbistand; civilstand; overenskomstforhandlingerne; fordeling af udførelsen af huslige gøremål mellem mand og kone; erhvervsmæssig beskæftigelse; vurdering af præsident Carter; samt læsning og køb af ugeblade. DDA-0990 Observa Prøvevalg 1978, november-undersøgelsen: Partipræference i dag; vurdering af loven om efterløn, dens virkning på arbejdsløsheden og muligheden for selv at gå på efterløn; udlevering af CPR-numre til Danmarks Statistik på sociale klienter (og andre borgere) fra kommunerne; professionel fodbold; el-værkernes køb af kul i Sydafrika; tilbringelse af vinterferie; læsning af bøger; m/k betegnelsen; samt læsning af ugeblade. DDA-0991 Observa Prøvevalg 1978, december-undersøgelsen: Partipræference i dag; vurdering af Anker Jørgensen som statsminister; folkeskolens undervisning i dansk og regning; valgfri statskontrolleret prøve ved afgang fra folkeskolen; afskaffelse af prøver og karakterer i folkeskolen; afskaffelse af den lille latinprøve; tilbringelse af juleaften; børn i husstanden; lommepenge til børn (beløb og metode); julegavebeløb; udsigterne for 1979 (mht. egen økonomi, landets økonomi, verdenssituationen); læsning af ugeblade; samt kontaktvillighed ved eventuel ekstraordinær undersøgelse. I prøvevalgene indgår et fast sæt af baggrundsvariable (stamoplysninger), som i denne undersøgelse er medtaget for hvert af prøvevalgene. Desuden har DDA samlet hver af disse baggrundsvariable for alle panelets medlemmer for hele året. De gennemgående baggrundsvariable omhandler:Respondentens køn, fødselsår, civilstand og stilling i familien. Bopælens geografiske placering (urbaniseringsgrad) samt boligens art og antal værelser i boligen. Respondentens uddannelse, beskæftigelsesmæssige status, stillingsbetegnelse og medlemskab af faglig organisation. Endelig hvilket politisk parti respondenten stemte på ved det sidste folketingsvalg (1977) eller årsager til, at respondenten ikke stemte See abstract Se abstract

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  • Authors: Rabeya Basri;

    The study examines the linear and nonlinear relationships between per capita carbon dioxide emission, per capita real GDP, energy consumption, financial development, foreign direct investment, trade openness, urbanization, agriculture, and industry sectors as potential determining factors of CO2 emissions in the perspective of Bangladesh all through 44 years, starting from 1974. The study considers the CO2 emissions from the selected South Asian countries over the period from 1978 and 2018. The study uses three cointegration approaches. First, we employ linear cointegration method and find that crucial determining factors of CO2 emissions in Bangladesh are real GDP per capita, energy consumption, and urbanization. Then, we apply the nonlinear cointegration method and find that energy consumption and FDI have asymmetric impacts on carbon release in the long run. While energy consumption, financial development, and FDI have asymmetric influence in the short run. Finally, we apply a panel cointegration test to compare Bangladesh with other South Asian countries in terms of CO2 emissions. The estimated results disclose that the vital contributing factors of CO2 emissions in selected South Asian countries are real GDP, energy consumption, financial development, and urbanization. Our results show that energy consumption, financial development, and urbanization upturn CO2 emissions, while trade openness lowers emissions. We also claim that our results are consistent with the EKC hypothesis for both in Bangladesh and selected South Asian countries. The three cointegration estimation findings disclose that urbanization will deteriorate environmental worth in Bangladesh and selected South Asian countries in the long run.

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  • Authors: Oates, Lucy; Edwards, Alison; Bueren, Ellen van; Ersoy, Aksel;

    This file includes the metadata of 107 articles that were included in a systematic literature review and subsequent corpus-based discourse analysis.

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    Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.HighResMIP.CNRM-CERFACS.CNRM-CM6-1-HR' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The CNRM-CM6-1-HR climate model, released in 2017, includes the following components: aerosol: prescribed monthly fields computed by TACTIC_v2 scheme, atmos: Arpege 6.3 (T359; Gaussian Reduced with 181724 grid points in total distributed over 360 latitude circles (with 720 grid points per latitude circle between 32.2degN and 32.2degS reducing to 18 grid points per latitude circle at 89.6degN and 89.6degS); 91 levels; top level 78.4 km), atmosChem: OZL_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA025, tripolar primarily 1/4deg; 1442 x 1050 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: Gelato 6.1. The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, ocean: 25 km, seaIce: 25 km.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    This dataset contains the data displayed in the figures or the article "High-resolution projections of ambient heat for major European cities using different heat metrics". The different files contain: Data_Fig1_DeltaTXx_EURO-CORDEX_1981-2010_to_3K-European-warming_RCP85.nc: Change of yearly maximum temperature in Europe between 1981-2010 and 3 °C European warming relative to 1981-2010. Data_Fig2_timeseries-GSAT-ESAT_EURO-CORDEX_CMIP5_CMIP6_1971-2100_RCP85_SSP585.xlsx: Time series of global mean surface air temperature (GSAT) for CMIP5 and CMIP6 models, and for European mean surface air temperature (ESAT) for EURO-CORDEX, CMIP5, and CMIP6 models for the period 1971-2100. Data_Fig3_TX-distribution_distance-from-city-centre_E-OBS_1981-2010.xlsx: Distribution of average daily maximum temperature in summer (June, July, August) in 1981-2010 for E-OBS for all investigated cities. Temperature data are indicated as a function of the distance to the city centre. Data_Fig3_TX-distribution_distance-from-city-centre_ERA5-Land_1981-2010.xlsx: Distribution of average daily maximum temperature in summer (June, July, August) in 1981-2010 for ERA5-Land for all investigated cities. Temperature data are indicated as a function of the distance to the city centre. Data_Fig3_TX-distribution_distance-from-city-centre_EURO-CORDEX_1981-2010.xlsx: Distribution of average daily maximum temperature in summer (June, July, August) in 1981-2010 for the EURO-CORDEX models for all investigated cities. Temperature data are indicated as a function of the distance to the city centre. Data_Fig3_TX-distribution_distance-from-city-centre_weather-stations_1981-2010.xlsx: Distribution of average daily maximum temperature in summer (June, July, August) in 1981-2010 for GSOD and ECA&D stations for all investigated cities. Temperature data are indicated as a function of the distance to the city centre. Data_Fig4_TX-ambient-heat_EURO-CORDEX_3K-European-warming.xlsx: Daytime heat metrics for the investigated cities: HWMId-TX at 3 °C European warming relative to 1981-2010, TX exceedances above 30 °C at 3 °C European warming relative to 1981-2010, and TXx change between 1981-2010 and 3 °C European warming relative to 1981-2010 for EURO-CORDEX models. Data_Fig5_Contribution-of-explanatory-variables-to-total-explained-variance.xlsx: Contribution of different explanatory variables (climate and location factors) to the total explained variance of spatial patterns of heat metrics. Data_Fig6_TN-ambient-heat_EURO-CORDEX_3K-European-warming.xlsx: Nighttime heat metrics for the investigated cities: HWMId-TN at 3 °C European warming relative to 1981-2010, TN exceedances above 20 °C at 3 °C European warming relative to 1981-2010, and TNx change between 1981-2010 and 3 °C European warming relative to 1981-2010 for EURO-CORDEX models. Data_Fig7_TX-ambient-heat_CMIP5_3K-European-warming.xlsx: Daytime heat metrics for the investigated cities: HWMId-TX at 3 °C European warming relative to 1981-2010, TX exceedances above 30 °C at 3 °C European warming relative to 1981-2010, and TXx change between 1981-2010 and 3 °C European warming relative to 1981-2010 for CMIP5 models. Data_Fig7_TX-ambient-heat_CMIP6_3K-European-warming.xlsx: Daytime heat metrics for the investigated cities: HWMId-TX at 3 °C European warming relative to 1981-2010, TX exceedances above 30 °C at 3 °C European warming relative to 1981-2010, and TXx change between 1981-2010 and 3 °C European warming relative to 1981-2010 for CMIP6 models. Data_Fig8_GCM-RCM-matrix_ambient-heat_3K-European-warming.xlsx: GCM-RCM matrices for the three heat metrics.

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    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: Datacite
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    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: Datacite
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    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: ZENODO
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: ZENODO
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    This file contains the data and the STATA estimation code to replicate the results in the article entitled: "Information Communication Technology development and energy demand in African countries".

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Mendeley Dataarrow_drop_down
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    Mendeley Data
    Dataset . 2019
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Mendeley Data
    Dataset . 2019
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Mendeley Data
    Dataset . 2019
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Mendeley Data
    Dataset . 2019
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    B2FIND
    Dataset . 2019
    Data sources: B2FIND
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Mendeley Dataarrow_drop_down
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      Mendeley Data
      Dataset . 2019
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Mendeley Data
      Dataset . 2019
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Mendeley Data
      Dataset . 2019
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Mendeley Data
      Dataset . 2019
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      B2FIND
      Dataset . 2019
      Data sources: B2FIND
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: María de la Paz Diulio (10410087); Gabriela Reus Netto (10410090); Roberto Berardi (75497); Jorge Daniel Czajkowski (10410093);

    Abstract The metropolitan area of La Plata, Argentina, represents 1.6% of households in Argentina. Based on the analysis of the energy retrofit of a house, we provide indicators in order to propose a methodology that facilitates the extrapolation, at regional level, of the impact of a general energy retrofit in homes. The results obtained are presented from micro to macro level, in context of energy shortage and recurrent crisis in the supply of fuels and electricity in Argentina. The improved thermal resistance of walls and ceilings throughout the residential park of La Plata lead to a reduction of 12% of the energy consumed in heating, and a saving of 30,000 TEP / year. We conclude that the incidence of additional insulation on the cost of building justifies its use, partially solving the lack of fuel in our country, reducing fixed costs in housing, providing thermal comfort to users and generating economic reactivation of the construction sector.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ figsharearrow_drop_down
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    figshare
    Dataset . 2021
    License: CC BY
    Data sources: Datacite
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    figshare
    Dataset . 2021
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Smithsonian figshare
    Dataset . 2016
    License: CC BY
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ figsharearrow_drop_down
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      figshare
      Dataset . 2021
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      figshare
      Dataset . 2021
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Smithsonian figshare
      Dataset . 2016
      License: CC BY
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    This data presents an experimental investigation carried out in a Boundary Layer Wind Tunnel located at Ruhr University Bochum, Germany. The flow field is measured above the rooftop of a high-rise building with a square cross-section considering two different roof shapes, flat roof and deck roof. The height-to-width ratio of the building was 1:3. The main purpose is to be used for estimation of urban wind energy potential, and besides for future validation of computational fluid dynamic simulations. Besides velocity field, measured at mainly three positions above the roof, the roof surface pressure was also measured. The flow above the roof was measured for different wind angles: 0°, 15°, 30°, and 45°.

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    Mendeley Data
    Dataset . 2020
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Mendeley Data
    Dataset . 2020
    License: CC BY
    Data sources: Datacite
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      Mendeley Data
      Dataset . 2020
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Mendeley Data
      Dataset . 2020
      License: CC BY
      Data sources: Datacite
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    Authors: Minx, Jan C.; Lamb, William F.; Andrew, Robbie M.; Canadell, Josep G.; +13 Authors

    Comprehensive and reliable information on anthropogenic sources of greenhouse gas emissions is required to track progress towards keeping warming well below 2°C as agreed upon in the Paris Agreement. Here we provide a dataset on anthropogenic GHG emissions 1970-2019 with a broad country and sector coverage. We build the dataset from recent releases from the “Emissions Database for Global Atmospheric Research” (EDGAR) for CO2 emissions from fossil fuel combustion and industry (FFI), CH4 emissions, N2O emissions, and fluorinated gases and use a well-established fast-track method to extend this dataset from 2018 to 2019. We complement this with information on net CO2 emissions from land use, land-use change and forestry (LULUCF) from three available bookkeeping models.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    Dataset . 2021
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2021
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2021
    License: CC BY
    Data sources: Datacite
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    Authors: Zhuo, Zhenyu;

    This dataset provides the data applied in the case studies of the manuscript "Backcasting the Techno-economic Targets For Constructing Low-carbon Power Systems". Both the modified Garver’s 6-bus and realistic Northwest China power system are presented here, in two excel files respectively. The datasets include detailed information about buses, units, existing corridors, and candidate corridors.Average cost variations and load growth rate over the planning period are also provided.

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    IEEE DataPort
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  • Authors: Observa;

    #Observa opinion polls: #---------------------- # #From 1967 and onwards Observa has carried out a number of opinion polls, i.e. surveys of attitudes and habits of life, partly through so-called political index polls (postal panel surveys) and partly through more extensive attitudinal surveys based on interviews. The political index polls have been carried out regularly in the period (approx. 10 times a year), whereas the attitudinal surveys have been carried out quarterly in the period 1969 to 1972. The current data collection of similar data material over a long period of time makes it possible to carry out various kinds of time series analyses, especially as regards party preference. #Other subjects are usually treated more superficially owing to the conditions under which the surveys are carried out (they are designed for publication in daily papers so the main emphasis has been put on topical issues, and only subjects which may be dealt with by means of a limited number of questions are included). #Until 1971 the political index polls were carried out for the daily paper Aktuelt; from 1972 for the daily paper Morgenavisen Jyllands-Posten. The attitudinal surveys have been carried out exclusively for Jyllands-Posten. # #Observa Political Index Polls, 1978: #------------------------------------ #In 1978 Observa carried out 10 political index polls. All the questions from these surveys are found in DDA-0981: Observa Political Index Polls, 1978. In addition, the individual political index polls, which contain questions on topical issues, are found in DDA-0982 to DDA-0991. # #The individual political index polls deal with the following topical issues: # #Observa Political Index Polls 1978: February (DDA-0982): #Participation in and vote at the local election on 7 March, 1978; the postponement of the proposed clearing of Christiania; priority ordering of great investments: a bridge over the Great Belt, the introduction of North Sea gas, the introduction of nuclear power, an extension of the motorway system, electric trains for DSB (the Danish State Railways); subscription to 'Falck' (a private salvage corps); the transfer of 'De Danske Redningskorps' (The Danish Salvage Corps) to public control; income regulation of old-age pension; morning prayers in primary school; school children in household; and magazines and weeklies. # #Observa Political Index Polls 1978: March (DDA-0983): #The trial against Mogens Glistrup, political persecution and the sentence at the city court; who is to decide whether an MP is worthy of being a member of Parliament; assessment of the members of the Government; assessment of the proposals of the Child Commission (Børnekommissionen), of the Equality Commission (Ligestillingskommissionen) and of the Central Education Council (Det Centrale Uddannelsesråd); smoking habits; the 'smokeless day'; and magazines and weeklies. # #Observa Political Index Polls 1978: April (DDA-0984): #For or against Danish membership of the EC at a hypothetical referendum today; forms of address (the deferential 'De' versus the familiar 'du'); political information on Radio Denmark; personal well-being (e.g. rested, stressed); alcohol consumption; the quality of beef and pork and the consumption of pork as compared with last year; growing of vegetables and fruit; and magazines and weeklies. # #Observa Political Index Polls 1978: May (DDA-0985): #Summer holidays; acts of violence, if any, against the respondent or the respondent's family and acquaintances; the Government's proposed measures to combat unemployment; whether the respondent is unemployed or is afraid of becoming unemployed; for or against nuclear power stations in Denmark at a hypothetical referendum today; for or against a lowering of the electoral age to 18 at a hypothetical referendum today; assessment of the members of the Government; the size of the police force; and magazines and weeklies. # #Observa Political Index Polls 1978: June (DDA-0986): #Assessment of the Government's performance; assessment of the performance of the opposition; personal pressure; football World Cup on TV; the negotiations between the Social Democratic Party and the non-Socialist parties concerning the formation of a majority government; the issuing of writs for a general election; the work of master artisans; evening meals (refreshments) and weekend guests; and magazines and weeklies. # #Observa Political Index Polls 1978: August (DDA-0987): #A bridge over the Great Belt; a government coalition of the Social Democratic Party and the Liberal Party; for or against a lowering of the electoral age to 18 at the referendum on 19 September, 1978; alcohol consumption; purchase of tax-free alcohol and wine; shopping in discount shops; and magazines and weeklies. # #Observa Political Index Polls 1978: September (DDA-0988): #For or against a lowering of the electoral age to 18 at a hypothetical referendum today; the government coalition of the Social Democratic Party and the Liberal Party; the Act on an increase of VAT and the Act on price and profits freeze; the impact of the economic situation on employment; the strikes in connection with the formation of the new Government; the disagreement between Anker Jørgensen and Thomas Nielsen (chairman of LO - the Danish Trades Union Congress); for or against nuclear power stations in Denmark at a hypothetical referendum today; a bridge over the Great Belt; spare time activities; Radio News; and magazines and weeklies. # #Observa Political Index Polls 1978: October (DDA-0989): #For or against Danish membership of the EC at a hypothetical referendum today; the proposal of the Social Democratic Party and LO (the Danish Trades Union Congress) concerning economic industrial democracy, profit sharing and a central fund; a permanent peace in the Middle East after the Camp David peace talks; an extension of the EC (attitude to Portugal, Spain and Greece becoming members of the EC); Danish development aid; marital status; the general claims for the coming collective bargaining; the distribution of housework between husband and wife; employment status; assessment of President Carter; and magazines and weeklies. # #Observa Political Index Polls 1978: November (DDA-0990): #Assessment of the Act on voluntary early retirement pay, the impact of this Act on employment and the possibility of the respondent's retiring on voluntary early retirement pay; the release by the municipalities of personal code numbers of social clients and other citizens to Danmarks Statistik; professional football; the purchase of coal from South Africa; winter holidays; book reading habits; the 'm/k' (male/female) designation; and magazines and weeklies. # #Observa Political Index Polls 1978: December (DDA-0991): #Assessment of Anker Jørgensen as prime minister; Danish and arithmetic instruction in primary school; the optional state-controlled leaving examination in primary school; the abolition of marks and examinations in primary school; the abolition of the examination in Latin; Christmas Eve; children in household; pocket money for children (amount and method); Christmas present expenditure; expectations of 1979 (personal financial situation, the country's economic situation, the world situation); and magazines and weeklies Observas opinionsundersøgelser: ------------------------------- Observa har fra 1967 gennemført undersøgelser af holdninger og livsvaner, dels gennem såkaldte prøvevalg (postale valgpanelsundersøgelser) dels gennem mere omfattende interviewbaserede indstillingsundersøgelser. Prøvevalgsundersøgelserne er foretaget jævnligt i hele perioden (ca. 10 gange hvert år), medens indstillingsundersøgelserne kun blev foretaget kvartalsvist i årene 1969 til 1972. Det lange tidsrum med jævnligt indsamlede, ensartede datamaterialer giver muligheder for forskellige tidsserieanalyser, især hvad angår partipræferencer. Andre emner er sædvanligvis mere flygtigt behandlede pga. de vilkår, hvorunder undersøgelserne er foretaget (de er tilrettelagt med offentliggørelse i dagspressen for øje, det dagsaktuelle har været betonet, og emnerne er begrænset til problemkredse, der lader sig beskrive med et mindre antal spørgsmål). Prøvevalgene gennemførtes indtil udgangen af 1971 for dagbladet Aktuelt og fra 1972 for Morgenavisen Jyllands-Posten. Indstillingsundersøgelserne blev udelukkende gennemført for Jyllands-Posten. Observa Prøvevalg 1978: ---------------------- I 1978 gennemførte Observa i alt 10 prøvevalg. Enslydende spørgsmål, omhandlende demografiske forhold samt partipræference, er i DDA samlet i undersøgelsen DDA-0981 Observa Prøvevalg 1978, mens de enkelte, fuldstændige prøvevalg, der indeholder forskellige aktuelle spørgsmål, findes som DDA-0982 til DDA-0991. De enkelte prøvevalg omhandler flg. aktuelle emner: DDA-0982 Observa Prøvevalg 1978, februar-undersøgelsen: Partipræference i dag; deltagelse i og stemmeafgivelse ved kommunalvalget og amtsrådsvalget den 7. marts; udskydelsen af rømningen af Christiania; prioritering af de store investeringsplaner: Storebæltsbroen, indførelse af naturgas, indførelse af atomkraft, udbygning af motorvejsnettet, el-drift for DSB; abonnement på Falck i husstanden; overgang af De Danske Redningskorps til det offentlige; indtægtsbestemmelse af folkepensionen; morgenbøn og morgensang i folkeskolen; skolesøgende børn i husstanden; samt læsning af ugeblade. DDA-0983 Observa Prøvevalg 1978, marts-undersøgelsen: Partipræference i dag; om retssagen mod Mogens Glistrup er politisk forfølgelse, byrettens dom; hvem skal afgøre, om et folketingsmedlem er værdigt til at sidde i Folketinget; vurdering af regeringens medlemmer; vurdering af forslag fra Børnekommissionen, Ligestillingskommissionen og det centrale uddannelsesråd; rygevaner; røgfri dag; samt læsning af ugeblade. DDA-0984 Observa Prøvevalg 1978, april-undersøgelsen: Partipræference i dag; for eller imod Danmarks medlemskab af Fællesmarkedet ved en folkeafstemning i dag; tiltaleformerne du og De; Danmarks Radio''s politiske orientering; personligt velbefindende (fx udhvilet, stresset); nydelse af spiritus; kvaliteten af oksekød og svinekød; forbrug af svinekød nu i forhold til tidligere; samt dyrkning af grøntsager og frugt. DDA-0985 Observa Prøvevalg 1978, maj-undersøgelsen: Partipræfernce i dag; tilbringelse af sommerferie; eventuelle voldshandlinger mod respondenten eller dennes familie eller bekendte; regeringens forslag til nedbringelse af arbejdsløsheden; personlig arbejdsløshed; ja eller nej til atomkraftværker ved en folkeafstemning i dag; ja eller nej til 18 års valgret ved en folkeafstemning i dag; vurdering af regeringens medlemmer; politistyrkens størrelse; samt graden af tillid til politiet. DDA-0986 Observa Prøvevalg 1978, juni-undersøgelsen: Partipræference i dag; vurdering af regeringens virke; vurdering af oppositionens virke; personlig travlhed; VM-fodbold i TV; forhandlinger mellem Socialdemokratiet og de borgerlige partier om dannelse af en flertalsregering; udskrivning af folketingsvalg; håndværkeres arbejde og pålidelighed; aftensmåltider, forfriskninger og gæster i weekenden; samt læsning af ugeblade. DDA-0987 Observa Prøvevalg 1978, august-undersøgelsen: Partipræference i dag; Storebæltsbroen; regeringssamarbejde mellem Socialdemokratiet og Venstre; ja eller nej til 18 års valgret ved folkeafstemningen den 19. september; nydelse af spiritus; beholdning af spiritus; indkøb af afgiftsfri spiritus/vin; indkøb i lavprisvarehuse/billibutikker; samt læsning af ugeblade. DDA-0988 Observa Prøvevalg 1978, september-undersøgelsen: Partipræference i dag; ja eller nej til 18 års valgret ved en folkeafstemning i dag; regeringssamarbejdet mellem Socialdemokratiet og Venstre; lov om forhøjelse af momsen og lov om pris- og avancestop, virkning på den økonomiske situation og på beskæftigelsen; arbejdsnedlæggelserne i forbindelse med dannelsen af den nye regering; kløften mellem statsminister Anker Jørgensen og LOs formand Thomas Nielsen; ja eller nej til atomkraftværker ved en folkeafstemning i dag; Storebæltsbroen; deltagelse i fritidsaktiviteter; radioaviserne; samt læsning af ugeblade. DDA-0989 Observa Prøvevalg 1978, oktober-undersøgelsen: Partipræference i dag; for eller imod Danmarks medlemskab af Fællesmarkedet ved en folkeafstemning i dag; Socialdemokratiets og LOs forslag om økonomisk demokrati, overskudsdeling, en central fond; varig fred i Mellemøsten efter Camp David aftalerne; udvidelse af Fællesmarkedet med Portugal, Spanien og Grækenland; dansk u-landsbistand; civilstand; overenskomstforhandlingerne; fordeling af udførelsen af huslige gøremål mellem mand og kone; erhvervsmæssig beskæftigelse; vurdering af præsident Carter; samt læsning og køb af ugeblade. DDA-0990 Observa Prøvevalg 1978, november-undersøgelsen: Partipræference i dag; vurdering af loven om efterløn, dens virkning på arbejdsløsheden og muligheden for selv at gå på efterløn; udlevering af CPR-numre til Danmarks Statistik på sociale klienter (og andre borgere) fra kommunerne; professionel fodbold; el-værkernes køb af kul i Sydafrika; tilbringelse af vinterferie; læsning af bøger; m/k betegnelsen; samt læsning af ugeblade. DDA-0991 Observa Prøvevalg 1978, december-undersøgelsen: Partipræference i dag; vurdering af Anker Jørgensen som statsminister; folkeskolens undervisning i dansk og regning; valgfri statskontrolleret prøve ved afgang fra folkeskolen; afskaffelse af prøver og karakterer i folkeskolen; afskaffelse af den lille latinprøve; tilbringelse af juleaften; børn i husstanden; lommepenge til børn (beløb og metode); julegavebeløb; udsigterne for 1979 (mht. egen økonomi, landets økonomi, verdenssituationen); læsning af ugeblade; samt kontaktvillighed ved eventuel ekstraordinær undersøgelse. I prøvevalgene indgår et fast sæt af baggrundsvariable (stamoplysninger), som i denne undersøgelse er medtaget for hvert af prøvevalgene. Desuden har DDA samlet hver af disse baggrundsvariable for alle panelets medlemmer for hele året. De gennemgående baggrundsvariable omhandler:Respondentens køn, fødselsår, civilstand og stilling i familien. Bopælens geografiske placering (urbaniseringsgrad) samt boligens art og antal værelser i boligen. Respondentens uddannelse, beskæftigelsesmæssige status, stillingsbetegnelse og medlemskab af faglig organisation. Endelig hvilket politisk parti respondenten stemte på ved det sidste folketingsvalg (1977) eller årsager til, at respondenten ikke stemte See abstract Se abstract

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  • Authors: Rabeya Basri;

    The study examines the linear and nonlinear relationships between per capita carbon dioxide emission, per capita real GDP, energy consumption, financial development, foreign direct investment, trade openness, urbanization, agriculture, and industry sectors as potential determining factors of CO2 emissions in the perspective of Bangladesh all through 44 years, starting from 1974. The study considers the CO2 emissions from the selected South Asian countries over the period from 1978 and 2018. The study uses three cointegration approaches. First, we employ linear cointegration method and find that crucial determining factors of CO2 emissions in Bangladesh are real GDP per capita, energy consumption, and urbanization. Then, we apply the nonlinear cointegration method and find that energy consumption and FDI have asymmetric impacts on carbon release in the long run. While energy consumption, financial development, and FDI have asymmetric influence in the short run. Finally, we apply a panel cointegration test to compare Bangladesh with other South Asian countries in terms of CO2 emissions. The estimated results disclose that the vital contributing factors of CO2 emissions in selected South Asian countries are real GDP, energy consumption, financial development, and urbanization. Our results show that energy consumption, financial development, and urbanization upturn CO2 emissions, while trade openness lowers emissions. We also claim that our results are consistent with the EKC hypothesis for both in Bangladesh and selected South Asian countries. The three cointegration estimation findings disclose that urbanization will deteriorate environmental worth in Bangladesh and selected South Asian countries in the long run.

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  • Authors: Oates, Lucy; Edwards, Alison; Bueren, Ellen van; Ersoy, Aksel;

    This file includes the metadata of 107 articles that were included in a systematic literature review and subsequent corpus-based discourse analysis.

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    Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.HighResMIP.CNRM-CERFACS.CNRM-CM6-1-HR' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The CNRM-CM6-1-HR climate model, released in 2017, includes the following components: aerosol: prescribed monthly fields computed by TACTIC_v2 scheme, atmos: Arpege 6.3 (T359; Gaussian Reduced with 181724 grid points in total distributed over 360 latitude circles (with 720 grid points per latitude circle between 32.2degN and 32.2degS reducing to 18 grid points per latitude circle at 89.6degN and 89.6degS); 91 levels; top level 78.4 km), atmosChem: OZL_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA025, tripolar primarily 1/4deg; 1442 x 1050 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: Gelato 6.1. The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, ocean: 25 km, seaIce: 25 km.

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