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The database presents the scenario results of an exploratory research, carried out at the International Institute for Applied Systems Analysis (IIASA): the Low Energy Demand (LED) study (Grubler et al. 2018). The LED scenario explored how far transformative changes that combine technological changes, end-use efficiency, and new business models for energy service provision can lead for lowering energy demand, and how these changes could drive deep decarbonisation in the long-term. The scenario development methodology included a bottom-up analysis of how currently existing, though often embryonic, social, institutional, and technological trends could become mainstream with resulting step-changes in efficiency and resulting lowered energy demand. The bottom-up demand estimations were then further explored for their supply side and emissions and climate implications with a top-down modeling framework drawing on the Shared Socioeconomic Pathways (SSP) framework (Riahi et al. 2017). The results show that global final energy demands can be drastically reduced in 2050, to around 245 EJ/yr, or 40% lower than today, whilst significantly expanding human welfare and reducing global development inequalities. According to the knowledge of the authors, LED is the lowest long-term global energy demand scenario ever published. The LED scenario meets the 1.5°C climate target in 2100 without overshoot and keeps the global mean temperature increase below 1.5°C with a probability of more than 60%, without requiring controversial negative emission technologies, such as bioenergy with carbon capture and storage (BECCS), that figure prominently in the emission scenario literature (Rogelj et al. 2015, Anderson and Peters 2016, Creutzig et al. 2016, Smith et al. 2016). Furthermore, the beneficial impacts of the LED scenario on a range of other sustainable development goals are also shown, demonstrating that efficiency of energy services provision plays a critical role in reaching low-energy futures without compromising increased living standards in the Global South, while at the same time reducing adverse social and environmental impacts of climate mitigation strategies that focus predominantly on large-scale supply-side transformations. The research is published in a peer-reviewed article in Nature Energy (Grubler et al. 2018) with ample supplementary information. Water consumption and withdrawal data are published in Parkinson et al. (2018). The data is available for download from the LED Database. The content of the LED database and any derived analysis may only be used for non-commercial scientific publications, articles, educational purposes, figures and data tables provided that the source reference pursuant to section 'Required citation' is included and all relevant publications are correctly cited. Partial reproductions of the database content may be stored in online repositories, if this is necessary to comply with a journal's data archiving and access requirements. Such reproductions must be limited to the scope of the manuscript in question, and must include a hyperlink to the source database hosted at https://db1.ene.iiasa.ac.at/LEDDB and the download date from the source database. However, any wholesale duplication, translation, reworking, processing, arrangement, transformation, or reproduction through the internet or any other channels, of the https://db1.ene.iiasa.ac.at/LEDDEB for commercial or non-commercial purposes is not permitted without the explicit written approval of IIASA.

This file contains surface and subsurface data from sediment cores from Loboi wetland, Kenya. Surface samples: seed macrophyte and testate amoebae data, geochemistry Core samples C1: seed macrophyte and testate amoebae data, geochemistry, magnetic susceptibility C7: geochemistry, magnetic susceptibility Papyrus: geochemistry, magnetic susceptibility Soil pit: geochemistry,

Responses of soil water content, soil inorganic nitrogen, aboveground and belowground biomass, soil respiration, ecosystem respiration, net ecosystem production, and gross ecosystem production to precipitation variability from a 3-y manipulative experiment (2004-2016) and a 12-y model simulation (2000-2011).

The dataset is composed of the final energy consumption by sector (industry, passenger transport, freight transport, residential, services, and agriculture) and sub-sector/end-use (e.g., chemical industry, cars, truck and light vehicles, space heating, etc.) of Finland. In addition, data regarding passengers and goods traffic, the number of households, the stock of dwellings permanently occupied, the floor area of dwellings, and CO2 emissions are collected. The primary data source is the Odyssee database. The Odyssee data are complemented with data regarding the value added and energy dependence of Finland taken from the World Bank and Eurostat database, respectively. The data of Finland cover the period from 2005 to 2015.

Dataset Province of South Holland: data collection took place in December 2020 – April 2021; the data was collected using the Dutch pre-paid panel Panelinzicht. Datasets Municipality Gorinchem Phase 1 & Phase 2: We conducted a questionnaire study among the inhabitants of the municipality of Gorinchem living within a 500m-2000m distance from where the wind park would potentially be sited. Data gathering took place in two phases, which corresponded to two key moments in the Municipality’s initiated public participation activities regarding the possibility of placing the wind turbines. The first phase of data gathering took place in February-March 2022, at the very beginning of the participatory process. The second phase of data gathering took place in September, 2022, after the Municipality has finalised the public participation procedure.

The supplementary material is the complete database extracted from the 40 articles selected for the systematic review. The excel file has two spreadsheets. The spreadsheet named "Articles database" is the complete information extracted from the articles according to the Review Protocol. The spreadsheet named "Bottom-up detailed database" presents the detailed information of the 17 articles classified as "bottom-up" and gives transport-related data type and sources according to the ASIF model

The data is solar incident radiation on building skins ( four facades and roof) of 4 cities together with the analysis for a whole year.

The use of renewable energy sources is growing rapidly as an alternative to conventional sources and it has been argued that community-based renewable and non-renewable energy projects found on public participation are more likely to be accepted by the public than top-down large schemes and may bring additional benefits, such as increased cooperation on sustainable energy issues. Consultations on coastal zones, energy and transport - 2019 Environmental awareness in the Baltic Sea region - 2019 Mapping of institutional vulnerability to climate change - 2019 Natural hazard awareness - 2019 13 years with the Lennart Meri Conference The data set contains raw data. Survey questionnaire is included. {"references": ["Troon, Marko et al; (2019). Survey Results associated to http://datadoi.ee/handle/33/165"]}

Using a 33-year-long dataset spanning a 1267-meter semi-arid elevational gradient in the southwestern United States, we test whether flowering phenology diverged among subpopulations within species and among five communities comprising 590 species. Applying circular statistics to test for changes in year-round flowering, we show flowering has become earlier for all communities except at the highest elevations. However, flowering times shifted at different rates across elevations likely due to elevation-specific changes in temperature and precipitation, indicating diverging phenologies of neighboring communities. Subpopulations of individual species also diverged at mid-elevation but converged in phenology at high elevation. phenology_data: Data on flowering phenology of 590 taxa collected by C. David Bertelsen over 33 years (1984-2016). A total 169,030 observations were recorded during 1,639 surveys. Data were collected along an 8.05-km trail in Finger Rock Canyon ascending from 945-2212 m, to Mt. Kimball in the Santa Catalina Mountains of Arizona, USA. The trail was partitioned into five elevation bands with distinct flowering assemblages (communities) during the growing seasons: 1) 945-1079 m, 2) 1079-1372 m, 3) 1372-1671 m, 4) 1671-1939 m, and 5) 1939-2212 m. Every species seen in anthesis (angiosperms) or releasing pollen (gymnosperms), together referred to as “flowering,” was recorded for each community along each 1.6-km-long trail segment on every survey. temperature_precipitation_data: Temperature and precipitation data for three locations within Finger Rock Canyon in the Santa Catalina Mountains of Arizona, USA. The 1930-2016 Parameter-elevation Regressions on Independent Slopes Model (PRISM) data was downloaded from the PRISM Climate Group, Oregon State University, (http://www.prism.oregonstate.edu/explorer/), created October 25, 2017. The gauge data was collected by C. David Bertelsen.