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Datasets associated with Agostini, S., Houlbreque, F., Biscéré, T., Harvey, B. P., Heitzman, J. M., Takimoto, R., et al. (2020). Greater mitochondrial energy production provides resistance to ocean acidification in ‘winning’ hermatypic corals. Front. Mar. Sci. 7. doi:10.3389/fmars.2020.600836.

Database prepared in Excel including four elements, as background information for RIBuild Deliverable D1.1 about the historic building stock: Historic buildings stock energy consumption (1) Historic building stock description (2) Building construction elements (3) Case studies (4) Element (1)-(3) are referring to the historic building stock in RIBuild partner countries in general, while element (4) contains examples of carried out renovation projects, involving internal insulation of a historic building. If available, the case study sheets contain information about the floor area, present use, the building envelope (thickness, materials), renovation history, pre- and post-energy usage and renovation cost. Further, information about typical defects and the main driving forces for the renovation project, planning or design tools used, whether the goal with the renovation was achieved and the satisfaction of the users. Overview of data files to be found in 'RIBuild data WP1' as part of this dataset.

Patients with pelvic pain (VAS score≥4) and ultrasound diagnosis of endometrioma > 4cm candidate to surgical removal of endometrioma will be randomized into 2 group. One Group will undergo laparoscopical stripping technique; the other one will undergo laparoscopic aspiration and sclerotherapy using 95% ethanol. The women will be introduced with both operative options and they will be informed about the randomization . After an elaborate explanation about the study they will sign an informed consent form. the following data will be collected prior the operation: age, gravity & parity, operative history, general medical history, the cyst size, AMH (Anti Mullerian Hormone), symptoms related to endometriosis (through VAS score), fertility history including any fertility treatment in the past and planned pregnancy after the operation. The laparoscopy will take place in Fondazione Policlinico Gemelli IRCSS, Roma. in the study group the cyst content will be aspirated and flushed with normal saline. 95% sterile ethanol will be instilled into the cyst through a Nelathon catheter. Ethanol will be left in the cyst for 15 min then aspirated as completely as possible following normal saline flushing. In the control group we will follow the standard treatment which is cystectomy. The women will be followed at 1 , 3 , 6 and 12 months after the surgery. The aim of this study is to compare two different laparoscopic surgical techniques (endometrioma stripping vs ethanol sclerotherapy) in terms of ovarian reserve (AMH levels), recurrence rate and pain relief.

The dataset contains two separate files: NREL_Trainset40000.mat and NREL_Testset10000.mat. The stored input enviormental and operational parameters are: Significant wave height, m (Hs), peak period, s (Tp), wave direction, deg (Wave_dir); Wind speed, m/s (Vw_mean, Vw_std), wind direction, deg (Wdir_mean, Wdir_std); Turbine rotational speed, rpm (Rpm_mean, Rpm_std), blade pitch, deg (Pitch_mean, Pitch_std), turbine yaw angle, deg (Yaw_mean, Yaw_std). The output of the simulations includes the time series, sampled at 50 Hz, of the reaction force and bending moments at the mudline: Fzz, N Mxx, Nm Myy, Nm contact: nandar.hlaing@uliege.be {"references": ["OpenFAST. Availabe at https://github.com/OpenFAST/openfast.\"", "Jonkman, K., Butterfield, S., Musial, W., & Scott, G. (2009). Definition of a 5-MW Reference Wind Turbine for Offshore System Development. 1617 Cole Boulevard, Golden, Colorado 80401-3393: National Renewable Energy Laboratory.", "Jonkman, J., & Musial, W. (2010). Offshore Code Comparison Collaboration (OC3) for IEA Task 23 Offshore Wind Technology and Deployment. 1617 Cole Boulevard, Golden, Colorado 80401-3393: National Renewable Energy Laboratory."]} - Funded by Belgian Energy Transition Fund (FPS Economy) through "PhairywinD" project. - Computing equipment facilitated by "Consortium des ��quipements de Calcul Intensif".

Project: GCOS Earth Heat Inventory - A study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory (EHI), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period from 1960 to present. Summary: The file “GCOS_EHI_1960-2020_Earth_Heat_Inventory_Ocean_Heat_Content_data.nc” contains a consistent long-term Earth system heat inventory over the period 1960-2020. Human-induced atmospheric composition changes cause a radiative imbalance at the top-of-atmosphere which is driving global warming. Understanding the heat gain of the Earth system from this accumulated heat – and particularly how much and where the heat is distributed in the Earth system - is fundamental to understanding how this affects warming oceans, atmosphere and land, rising temperatures and sea level, and loss of grounded and floating ice, which are fundamental concerns for society. This dataset is based on a study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory published in von Schuckmann et al. (2020), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period 1960-2020. The dataset also contains estimates for global ocean heat content over 1960-2020 for different depth layers, i.e., 0-300m, 0-700m, 700-2000m, 0-2000m, 2000-bottom, which are described in von Schuckmann et al. (2022). This version includes an update of heat storage of global ocean heat content, where one additional product (Li et al., 2022) had been included to the initial estimate. The Earth heat inventory had been updated accordingly, considering also the update for continental heat content (Cuesta-Valero et al., 2023).

This datapackage provides the dataset used for the first stage of the validation of the simulations and the analysis of the main variables collected by the monitoring system of the HEART project. At this stage (M32), the building refurbishment of the Italian case study in Bagnolo in Piano (Reggio Emilia) is not completed due to the COVID-19 lockdown; the window renovation has been done in September 2019 and in February 2020 the refurbishment works stopped. Therefore, the content of dataset at the moment is only on the first step of the building refurbishment. The dataset contains: the main climatic variables in the area the central heating monitored data the main monitorwd data for 5 refurbished appartments The building is located in the city of Bagnolo in Piano (Reggio Emilia, Italy), and it is oriented 21 degrees towards south west (44.7698536, 10.6768598 at 30 m of altitude.). It is a four-story building, having a total of 12 apartments (4 apartments per floor); cellars and parking area are located on the ground floor. The gross floor area for the conditioned zone is 245.78 [m2] (apartment plus external walls), for a total conditioned area of 737.34 [m2] for the entire building. Further information are available in the repository: Data set repository: https://gitlab.inf.unibz.it/URS/heart/bagnolo-dataset

Script and data to reproduce the main results of "Power system investment optimization to identify carbon neutrality scenarios for Italy"

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. The metadata in the previous version (#4) indicated that AR5 100 year global warming potentials (GWPs) were applied. This was incorrect. The metadata has been corrected, and both AR5 and AR6 100 year GWPs are now included as variables for convenient switching between metrics.