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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).

Temperature data recorded at the interface of a u-tube and the grout of a borehole heat exchanger production well and water temperature as it entered and left the well field. The wells is a central well of a 144 well borehole heat exchanger. Temperature was recorded using a series of thermocouples attached to the u-tube at 50 foot intervals from 50 to 400 feet below ground surface. Temperatures were recorded every hour from 4/17/2017 through 6/23/2017. Temperature of the water entering and leaving the borehole heat exchanger was also recorded. Units are in degrees Celsius. Description of the column headers. Date_Time: Date and time of the temperature measurement. 50_degC: Temperature measurement at 50 feet below ground surface of the interface of the incoming water side of the u-tube and grout. 100_degC: Temperature measurement at 100 feet below ground surface of the interface of the incoming water side of the u-tube and grout. 150_degC: Temperature measurement at 150 feet below ground surface of the interface of the incoming water side of the u-tube and grout. 200_degC: Temperature measurement at 200 feet below ground surface of the interface of the incoming water side of the u-tube and grout. 250_degC: Temperature measurement at 250 feet below ground surface of the interface of the incoming water side of the u-tube and grout. 300_degC: Temperature measurement at 300 feet below ground surface of the interface of the incoming water side of the u-tube and grout. 350_degC: Temperature measurement at 350 feet below ground surface of the interface of the incoming water side of the u-tube and grout. 400_degC: Temperature measurement at 400 feet below ground surface of the interface of the incoming water side of the u-tube and grout. BHE_IN__degC: Temperature measurement of the water entering the borehole heat exchanger. BHE_OUT__degC: Temperature measurement of the water leaving the borehole heat exchanger.

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.

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.

This study provides the first comprehensive overview of the sustainability performance of the hotel sector in the Himalayan region: Sagarmatha National Park and Buffer Zone, using both environmental, economic, and technical criteria. In particular, the performance of 45 buildings in this region were measured and quantified in terms of life cycle based carbon footprint, life cycle costs, heat loss rate, number of guests, energy consumption, and area. Buildings were classified into three types: traditional, semi-modern and modern. The statistical analysis included testing for significant differences between such categories by means of ANOVA, and determination of the correlation between the same parameters. Results show a significant difference between the buildings’ total carbon footprint and operation stage carbon footprint while, there is no significant difference between the buildings’ life cycle costs. Traditional buildings have on average the largest carbon footprint and life-cycle cost over the typical building lifespan of 50 years of building lifespan. The ANOVA tests highlight how heat loss rate, size of the building and number of tourists in the hotels are significantly different across the building types. A strong positive correlation is observed between environmental impact, economic impact and energy consumption for the household activities, and a negative correlation with the number of guests and building size. By considering several buildings, this study allows to draw new and more general conclusions about effective sustainability strategies in the whole hotel sector in the Himalayan region. In particular, it shows that reducing impacts in the operation stage should be highly prioritized, focusing on reducing energy consumption and heat loss and shifting to the use of renewable energy sources.

Estimates of wind power potential are relevant for decision-making in energy policy and business. Such estimates are affected by several uncertain assumptions, most significantly related to wind turbine technology and land use. Here, we calculate the technical and economic onshore wind power potentials with the aim to evaluate the impact of such assumptions using the case-study area of Finland as an example. We show that the assumptions regarding turbine technology and land use policy are highly significant for the potential estimate. Modern turbines with lower specific ratings and greater hub heights improve the wind power potential considerably, even though it was assumed that the larger rotors decrease the installation density and increase the turbine investment costs. New technology also decreases the impact of strict land use policies. Uncertainty in estimating the cost of wind power technology limits the accuracy of assessing economic wind power potential.

AbstractMountain treelines are thought to be sensitive to climate change. However, how climate impacts mountain treelines is not yet fully understood as treelines may also be affected by other human activities. Here, we focus on “closed‐loop” mountain treelines (CLMT) that completely encircle a mountain and are less likely to have been influenced by human land‐use change. We detect a total length of ~916,425 km of CLMT across 243 mountain ranges globally and reveal a bimodal latitudinal distribution of treeline elevations with higher treeline elevations occurring at greater distances from the coast. Spatially, we find that temperature is the main climatic driver of treeline elevation in boreal and tropical regions, whereas precipitation drives CLMT position in temperate zones. Temporally, we show that 70% of CLMT have moved upward, with a mean shift rate of 1.2 m/year over the first decade of the 21st century. CLMT are shifting fastest in the tropics (mean of 3.1 m/year), but with greater variability. Our work provides a new mountain treeline database that isolates climate impacts from other anthropogenic pressures, and has important implications for biodiversity, natural resources, and ecosystem adaptation in a changing climate.