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Coastal ecosystems are highly dynamic and can be strongly influenced by climate change, anthropogenic activities (e.g., pollution), and a combination of the two pressures. As a result of climate change, the northern hemisphere is predicted to undergo an increased precipitation regime, leading in turn to higher terrestrial runoff and increased river inflow. This increased runoff will transfer terrestrial dissolved organic matter (tDOM) and anthropogenic contaminants to coastal waters. Such changes can directly influence the resident biology, particularly at the base of the food web, and can influence the partitioning of contaminants and thus their potential impact on the food web. Bacteria have been shown to respond to high tDOM concentration and organic pollutants loads, and could represent the entry of some pollutants into coastal food webs. We carried out a mesocosm experiment to determine the effects of: (1) increased tDOM concentration, (2) organic pollutant exposure, and (3) the combined effect of these two factors, on pelagic bacterial communities. This study showed significant responses in bacterial community composition under the three environmental perturbations tested. The addition of tDOM increased bacterial activity and diversity, while the addition of organic pollutants led to an overall reduction of these parameters, particularly under concurrent elevated tDOM concentration. Furthermore, we identified 33 bacterial taxa contributing to the significant differences observed in community composition, as well as 35 bacterial taxa which responded differently to extended exposure to organic pollutants. These findings point to the potential impact of organic pollutants under future climate change conditions on the basal coastal ecosystem, as well as to the potential utility of natural bacterial communities as efficient indicators of environmental disturbance.

The dataset presents, the estimation of the Multi-ejector performance in a supermarket, based on the compressor mass flow rates from a trained data-driven method, (refer to https://doi.org/10.18710/HS8QAH) and the comparison with the existing performance function based on operational conditions. The pilot installation used the dataset is in the frame of MultiPack, an EU funded project. The Multipack is an integrated R744 parallel compression system with expansion work recovery through Multi Ejector SolutionTM, providing: refrigeration, space heating and cooling, and hot water production as shown in Figure 1. The space cooling and heating are by two direct CO2 rooftop air handling units. Three compression groups were installed in the pilot. Three compressors for medium temperature level (MT comp), three compressors at Low-Temperature level (LT comp), and four units are dedicated for Air-Conditioning (AC comp) total installed electrical power for compressors and fans is 177 kW (Excluding air handling fans). A paper, based on this dataset, "Performance of integrated R744-packs Part 2 - Ejectors performance, a comparison of onsite measurements and model predictions" was published at a conference (Compressors Conferences).

Following the publication of the Brundtland Commission’s Our Common Future Report, the concept of sustainable tourism development became highly influential internationally. Yet, despite the concept being frequently discussed, what exactly it embodies has not been conclusively defined. What is generally agreed upon is, that in order for tourism to fulfill its positive potential, it must be meticulously managed and that the successful involvement of stakeholders in a destination plays a key role in this process (Gunn & Var, 2002). This thesis sets out to illustrate on the example of the destination Tanjung Puting National Park in Kalimantan, Indonesia, how the vagueness of the concept “sustainable tourism development” impacts the involvement of stakeholders and how these dynamics in turn influence the overall sustainability of touristic development in the destination. It comes to the conclusion that a lack of competent leadership in the developmental process results in an unbalanced power distribution between the stakeholders. As a result, not all stakeholders can equally contribute to the process, thereby effectively preventing a holistically sustainable touristic development. The solution proposed is the build-up of an efficient leadership-instance and the promotion of the ‘five vital elements’ of stakeholder involvement named by Nicodemus (2004) and Susskind and Cruikshank (2001).

This thesis presents a study of the cooling process of a solid block performed by a turbulent air flow channel. The study focuses on the turbulent flow and its influence in the heat transfer of the block. The first part of the thesis is an analysis of the different turbulent model and their adaptation on the necessities of this study. Once the turbulent model has been confirmed it makes a study of the behavior of the cooling process by CFD (Computational Fluid Dynamics), and an analysis of the numerical accuracy of this computational study. When the procedure of the study of the cooling process is defined it proposes some different variations in the initial solution to improve this process. The study concentrates in variations of the turbulence and the geometry of the studied block. Finally, the different improving are discussed analyzing parameters as the heat transfer, pressure drop, time consuming or energy consuming.

Climate change has differentially affected the timing of seasonal events for interacting trophic levels, and this has often led to increased selection on seasonal timing. Yet, the environmental variables driving this selection have rarely been identified, limiting our ability to predict future ecological impacts of climate change. Using a dataset spanning 31 years from a natural population of pied flycatchers (Ficedula hypoleuca), we show that directional selection on timing of reproduction intensified in the first two decades (1980–2000) but weakened during the last decade (2001–2010). Against expectation, this pattern could not be explained by the temporal variation in the phenological mismatch with food abundance. We therefore explored an alternative hypothesis that selection on timing was affected by conditions individuals experience when arriving in spring at the breeding grounds: arriving early in cold conditions may reduce survival. First, we show that in female recruits, spring arrival date in the first breeding year correlates positively with hatch date; hence, early-hatched individuals experience colder conditions at arrival than late-hatched individuals. Second, we show that when temperatures at arrival in the recruitment year were high, early-hatched young had a higher recruitment probability than when temperatures were low. We interpret this as a potential cost of arriving early in colder years, and climate warming may have reduced this cost. We thus show that higher temperatures in the arrival year of recruits were associated with stronger selection for early reproduction in the years these birds were born. As arrival temperatures in the beginning of the study increased, but recently declined again, directional selection on timing of reproduction showed a nonlinear change. We demonstrate that environmental conditions with a lag of up to two years can alter selection on phenological traits in natural populations, something that has important implications for our understanding of how climate can alter patterns of selection in natural populations. Data from: Effects of spring temperatures on the strength of selection on timing of reproduction in a long-distance migratory birdData on pied flycatcher breeding, incl lay date, number of offspring produced and biotic and abiotic environmental variablesdata_breed.txt

# Impact of climate on a host-hyperparasite interaction on Arabica coffee in its native range GENERAL INFORMATION 1\. Title of Dataset: Impact of climate on a host-hyperparasite interaction on Arabica coffee in its native range Ayalew, Biruk; Hylander, Kristoffer; Adugna, Girma; Zewdie, Beyene; Tack J.M, Ayco 2\. Date of data collection: 2018–2020 3\. Geographic location of data collection: Gomma and Gera districts, southwestern Ethiopia 4\. Information about funding sources that supported the collection of the data: Swedish Research Council (2019-04493) and Bolin Centre for Climate Research SHARING/ACCESS INFORMATION 1\. Licenses/restrictions placed on the data: CC0 1.0 Universal (CC0 1.0) Public Domain 2\. Links to other publicly accessible locations of the data: None 3\. Links/relationships to ancillary data sets: None 4\. Was the data derived from another source? No 5\. Recommended citation for this dataset: Ayalew, B., Hylander, K., Adugna, G., Zewdie, B., & Tack, A. J. M. (2023). Data from: Impact of climate on a host-hyperparasite interaction on Arabica coffee in its native range. Dryad Digital Repository, DATA & FILE OVERVIEW 1\. Number of variables: 29 2\. Number of cases/rows: 58 3\. Variable List: * Site_ID: coffee farms (site) where data collected * Elevation: the geocoordinates of study sites * Canopy_cover (%): canopy cover * Min_temp_Wet_season_2018: Wet season minimum temperature (°C) during 2018 * Max_temp_Wet_season_2018: Wet season maximum temperature (°C) during 2018 * RH_Wet_season_2018: Wet season relative humidity (%) during 2018 * Min_temp_Dry_season_2019: Dry season minimum temperature (°C) during 2019 * Max_temp_Dry_season_2019: Dry season maximum temperature (°C) during 2019 * RH_Dry_season_2019: Dry season relative humidity (%) during 2019 * Min_temp_Wet_season_2019: Wet season minimum temperature (°C) during 2019 * Max_temp_Wet_season_2019: Wet season maximum temperature (°C)during 2019 * RH_Wet_season_2019: Wet season relative humidity (%)during 2019 * Min_temp_Dry_season_2020: Dry season minimum temperature (°C)during 2020 * Max_temp_Dry_season_2020: Dry season maximum temperature (°C)during 2020 * RH_Dry_season_2020: Dry season relative humidity (%) during 2020 * CLR_Sev_Dry_Season_2018: Coffee leaf severity (%) during dry season 2018 * CLR_Sev_Wet_Season_2018: Coffee leaf severity (%) during wet season 2018 * CLR_Sev_Dry_Season_2019: Coffee leaf severity (%) during dry season 2019 * CLR_Sev_Wet_Season_2019: Coffee leaf severity (%) during wet season 2019 * CLR_Sev_Dry_Season_2020: Coffee leaf severity (%) during dry season 2020 * Hyper_to_rust_ratio_Dry_2018_Log: Hyperparasite-to-rust ratio (%) during dry season 2018 (log transformed) * Hyper_to_rust_ratio_Wet_2018_Log: Hyperparasite-to-rust ratio (%) during wet season 2018 (log transformed) * Hyper_to_rust_ratio_Dry_2019_Log: Hyperparasite-to-rust ratio (%) during dry season 2019 (log transformed) * Hyper_to_rust_ratio_Wet_2019_Log: Hyperparasite-to-rust ratio (%) during wet season 2019 (log transformed) * Hyper_Sev_Dry_Season_2018_Log: Hyperparasite severity (%) during dry season 2018 (log transformed) * Hyper_Sev_Wet_Season_2018_Log: Hyperparasite severity (%) during wet season 2018 (log transformed) * Hyper_Sev_Dry_Season_2019_Log: Hyperparasite severity (%) during dry season 2019 (log transformed) * Hyper_Sev_Wet_Season_2019_Log: Hyperparasite severity (%) during wet season 2019 (log transformed) * Hyper_Sev_Dry_Season_2020_Log: Hyperparasite severity (%) during dry season 2020 (log transformed) 4\. Missing data codes: NA 5\. Specialized formats or other abbreviations used: None \# For more information on the data set: *Contact*: **** Natural enemies of plant pathogens might play an important role in controlling plant disease levels in natural and agricultural systems. Yet, plant pathogen-natural enemy interactions might be sensitive to climatic changes. Understanding the relationship between climate, plant pathogens, and their natural enemies is thus important for developing climate-resilient, sustainable agriculture. To this aim, we recorded shade cover, daily minimum and maximum temperature, relative humidity, coffee leaf rust, and its hyperparasite at 58 sites in southwestern Ethiopia during the dry and wet season for two years. Coffee leaf rust severity was positively related to the maximum temperature. Hyperparasite severity was higher when the minimum temperature was low (i.e. in places with cold night temperatures). While canopy cover did not have a direct effect on rust severity, it reduced rust severity indirectly by lowering the maximum temperature. Canopy cover had a direct positive effect on the hyperparasite severity during one surveying period. Synthesis and applications. Our findings highlight that coffee leaf rust and its hyperparasite are both affected by shade cover and temperature, but in different ways. On the one hand, these niche differences lead to the worrying prediction that levels of coffee leaf rust will increase, and its hyperparasite will decrease, with climate change. On the other hand, these niche differences between coffee leaf rust and its hyperparasite provide opportunities to develop strategies to manage the environment (such as shade cover and microclimate) in such a way that the rust is disfavored and the hyperparasite is favored. Usage Notes These datasets were collected in Gomma and Gera districts in southwestern Ethiopia at 58 sites during the dry and rainy seasons (2018–2020). Details for each dataset are provided in the README file. Datasets included: 1) Microclimate variables Average daily minimum temperature (°C): for each year was calculated by averaging the minimum temperature for both the dry (November to February) and rainy (April to July) seasons. Average daily maximum temperature (°C): for each year was calculated by averaging the maximum temperature for both the dry (November to February) and rainy (April to July) seasons. Monthly average of the daily mean relative humidity (%): for each year was calculated by averaging the relative humidity for both the dry (November to February) and rainy (April to July) seasons. 2) Coffee leaf rust and its hyperparasite Coffee leaf rust severity (%): the percentage of rust on a per-leaf basis of all leaves for both the dry and rainy seasons. Hyperparasite-to-rust ratio (%): the average percentage of rust covered by the hyperparasite for both the dry and rainy seasons. Hyperparasite severity (%): the percentage of hyperparasite on a per-leaf basis of all leaves, irrespective of whether they had rust or not, both for the dry and rainy seasons. 3) Canopy cover (%): was assessed based on five canopy pictures taken above coffee height and analysed using ImageJ software as the percentage of black pixels. The average of the five canopy cover percentages was used as a canopy cover (%) per site. 4) Elevation (m.a.s.l): was measured using Garmin GPS at the center of each plot. 

In this dataset, we report the results of an aquaria experiment aiming at determining the impacts of Polymetallic sulfide (PMS) plumes of varying concentrations created by deep-sea mining on larval survival of the deep-sea coral Desmophyllum pertusum. Colonies of D. pertusum were collected in December 2022 and January 2023 at Tisler reef, at depths between 100-120 m. Adults were maintained in aquaria and after spawning, embryos were collected and left to develop to 7-day larvae. On day 7, larvae were exposed to four experimental treatments, recreating the potential effects of a PMS mining plume: two treatments contained PMS particles at concentrations of 2.5 mg/L and 5 mg/L respectively, and another two contained only the leachates of PMS particle solutions corresponding to the aforementioned PMS particle concentrations. Temperature was maintained at 8-8.5 °C and pHT at 8.01. Survival was checked by counting surviving larvae after 24h of exposure. Experimental treatment, PMS2.5 PMS sediment with concentration 2.5 mg/L, PMS5 PMS sediment with concentration 5 mg/L, LCH2.5: leachates from PMS solution of 2.5 mg/L, LCH5: leachates from PMS solution of 5 mg/L

We performed systematic mapping of EPC data applications by time, geographical spread, data features & auxiliary data used, problem domains addressed and complexity of employed data analysis. This mapping work was intended to answer the following questions: Q1. Which research studies have used EPC data (hereafter “applications”)? Q2. What input data were used by the EPC data applications? Q3. Which problem domains were addressed by the EPC data applications? Q4. How did the EPC data applications change within the study period? Purpose: To understand how the energy performance certificates (EPC) data has been used since introduction of the first national EPC registers. Kartläggning av tillämpningar av EPC data. En mer detaljerad beskrivning är tillgängligt på den engelska katalogsidan: https://snd.gu.se/en/catalogue/study/SND1066