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This is a basic reproduction package for the paper "High-energy Cosmic Ray production in X-ray Binary Jets". We provide raw data, reproduction scripts for all figures, and intermediate data products.

The datasets used to report the results in the paper  "How offshore wind could become economically attractive in low-resource regions like Indonesia". It consists of a ESRI shapefile and accompanying csv file showing techno-economically feasible sites for offshore wind in Indonesia, as well as a matlab file storing the 20-years, hourly wind speed profiles across Indonesia.

The key datasets used and generated in the paper mentioned in the title (from now on "the paper").+++ Temperature_Profile.xlsx +++This file contains the processed surface and deep-sea water temperatures that were used as inputs for the off-design analyses of the OTEC system designs. Outliers are already removed in this data set. Outliers are data points that are 1.5 times the interquartile range away from the top or bottom of the box plot. The raw temperature data can be downloaded from the HYCOM database following the download instructions elaborated in the paper.Column A: TimeShows the timestamp of the temperature data, from 01.01.1994 00:00 until 31.12.2012 21:00 in 3-hourly time steps.Columns B-C, D-E, F-G, H-IThese pairs of columns show the surface seawater temperature at 20 m depth and deep-sea water temperature at 1,000 m depth for the four locations analysed in the paper, namely Jayapura, Tarakan, Ende, and Sabang.Columns K - OShow the main statistics of the temperature files, including minimum, median, and maximum values of the surface and deep-sea water temperatures at each of the four locations.+++ System_Designs_Ende_LC +++This file contains the data for Table 4 in the paper, showing the system designs based on nine different configurations of seawater temperatures as design parameters. See sections 2.1 and 2.2 of the paper to learn more about the methods used to deduce the nine temperature configurations. The system designs are created using the temperature profiles from Ende and low-cost assumptions (LC). Please note that we used the following sign convention:Work and heat entering the system: positiveWork and heat leaving the system: negativeRows 6 - 15: Energy balance and net thermal efficiencyShows the energy balance and net thermal efficiency of the Rankine cycle on which the OTEC plant is basedRows 6 - 14 show the heat flows to the evaporator and from the condenser, the work from the turbine and to the pumps, as well as the losses.Row 15 shows the net efficiency and is calculated as follows:Row 15 = |Row 14|/Row 6Rows 17 - 28 show the exergy analysis including exergy inflow from the warm surface seawater and the exergy destruction in the system components. Row 28: Net Exergy EfficiencyRow 28 = |Row 27|/SUM(Row 17 to 19)Rows 29 to 30 show the carnot efficiency and second law efficiency. Rows 32 to 34 show the mass flows of working fluid (here ammonia or NH3), warm water (WW) and cold water (CW).Rows 36 and to 37 show the temperature differences between heat exchanger inlet and outlet of the warm water (WW) and cold water (CW).Rows 39 to 44 show the dimensions and properties of evaporator (evap) and condenser (cond), namely the heat exchanger area A, saturation temperature T and saturation temperature p of the working fluid.Rows 46 to 49 show the inner diameter and the number of required seawater pipes. Note, that the number of outlet pipes is the same as the number of inlet pipes, so if for example the number of WW pipes is 6, there are 3 inlet pipes and 3 outlet pipes for the warm water.+++ Net_Power_Profiles.xlsx +++Shows the net power output of the turbine in [kW] for 30 years (1994 - 2023) in 3-hourly time steps at the location in Ende. The values are negative as in accordance to the sign convention described above. The file contains the data for Figure 4 in the paper. There are three sheets in the file containing the net power profiles for configuration 1, 2, and 9. Please note that the four-weeks downtime period mentioned in section 2.5 is not included here yet.Column A: TimeShows the time of the year as the x-th 3-hour interval of the year.Columns B - AEShow the annual net power profiles for the years 1994 until 2023.Column AFShows the average net power output at the x-th 3-hour interval of the year.Column AGShows the standard deviation of the net power output at the x-th 3-hour interval of the yearRow 1Shows the headers for each columnRows 2 to 2929Shows the net power output in 3-hour time steps. Note that rows 474 to 481 represent the 29th February. For leap-years, these rows are filled with data, for non-leap-years, these rows are NaN.Row 2930Shows the sum of values under each column. For the annual electricity production in [kWh], the values in this row must be multiplied by factor 3 because of the 3-hourly time interval.

Sensitivity of predicted diameter increment per species. (ZIP 364Â kb)

Summary of all data used in this study.

This video shows the temporal evolution of the �����e fields for four experiments conducted for the paper "Cold pool dynamics shape the response of extreme rainfall events to climate change ": CTL, M4K, P4K and P4Krh. The �����e fields are warped into z-direction to illustrate the steep gradients along cold pool boundaries.

Global warming appears to favour smaller-bodied organisms, but whether larger species are also more vulnerable to thermal extremes, as suggested for past mass-extinction events, is still an open question. Here, we tested whether interspecific differences in thermal tolerance (heat and cold) of ectotherm organisms are linked to differences in their body mass and genome size (as a proxy for cell size). Since the vulnerability of larger, aquatic taxa to warming has been attributed to the oxygen limitation hypothesis, we also assessed how body mass and genome size modulate thermal tolerance in species with contrasting breathing modes, habitats and life stages. A database with the upper (CTmax) and lower (CTmin) critical thermal limits and their methodological aspects was assembled comprising more than 500 species of ectotherms. Our results demonstrate that thermal tolerance in ectotherms is dependent on body mass and genome size and these relationships became especially evident in prolonged experimental trials where energy efficiency gains importance. During long-term trials, CTmax was impaired in larger-bodied water-breathers, consistent with a role for oxygen limitation. Variation in CTmin was mostly explained by the combined effects of body mass and genome size and it was enhanced in larger-celled, air-breathing species during long-term trials, consistent with a role for depolarization of cell membranes. Our results also highlight the importance of accounting for phylogeny and exposure duration. Especially when considering long-term trials, the observed effects on thermal limits are more in line with the warming-induced reduction in body mass observed during long-term rearing experiments.This article is part of the theme issue ‘Physiological diversity and global patterns of biodiversity in a time of global climate change: testing and generating key hypotheses involving temperature and oxygen’.

This dataset lists all sites that are practically suitable for OTEC deployment in Indonesia based on seawater temperature difference, water depths and marine protected areas.The columns of the dataset are as follows:Prov_Start, Long_Start, and Lat_Start described the province, longitude and latitude of the site for OTEC deployment in the ocean. Prov_End, Long_End, and Lat_End describe the province, longitude, and latitude of the connection point on land to which the power lines of the OTEC plant are assumed to be connected. Distance describes the linear distance between OTEC plant and onshore connection point. Temperature describes the seawater temperature difference between warm surface water (depth 0 m) and cold deep-sea water (depth 1,000 m) and reflect the average temperature difference from 21 August 2013 00:00 until 27 November 2018. The resolution of the data is 24 hours.Depth describes the water depth with a negative sign, meaning that -1 means a water depth of 1m. BPP represents the Basic Cost of Electricity Production in Indonesia, a metric that is used to calculate the feed-in tariff for the produced OTEC power. IMPORTANT, the feed-in tariff is not equal to BPP, but instead 85% of the BPP.LCOE_HC and LCOE_LC describe the calculated Levelised Cost of Electricity based on High-Cost (HC) and Low-Cost (LC) assumptions for the OTEC plant.Eco_Pot_HC and Eco_Pot_LC describe the economic potential of the OTEC plant at the given location. If the LCOE is equal or lower than 85% of the BPP, its economic potential equals the nominal size of the plant, in this study 100 MW. If the LCOE is higher than 85% of BPP, the economic potential is 0.

VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Probing midplane CO abundance and gas temperature with DCO+ in the protoplanetary disk around HD 169142.' (bibcode: 2018A&A...614A.106C)