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After drilling GPK2 an extensive hydraulic program was performed in 1995 to test the well and the circulation with GPK1. The main tests were realized during June, July and August 1995. It consisted first of two injection tests at GPK2 in June. The injection tests revealed that the injectivity was too low to consider circulation between the two wells GPK1 and GPK2. A short term and a long term stimulation experiments were also performed in June at GPK2 to stimulate the fracture network. A total of 28000 m3 of fluid was injected during the long term experiment. Following the stimulations, a stepped post-fracturing injection test was realized to observe the results of the stimulations. Finally, three relatively short circulation experiments were performed in July and August by using GPK1 as production borehole and GPK2 as reinjection borehole. Dates of the different tests of the 1995 hydraulic programme: - First injection test at GPK2: from 11:26 11/06/95 to 01:50 12/06/95 - Second injection test at GPK2: from 11:56 12/06/95 to 23:11 12/06/95 - Short term stimulation experiment at GPK2: from 20:00 14/06/95 to 01:27 15/06/95 - Long term stimulation experiment at GPK2: from 10:24 17/06/95 to 16:03 28/06/95 - Stepped post-fracturing injection test at GPK2: from 08:08 01/07/95 to 20:02 02/07/95 - First circulation test between GPK1 and GPK2: from 08:35 09/07/95 to 21:32 24/07/95 - Second circulation test between GPK1 and GPK2: from 13:09 31/07/95 to 19:04 09/08/95 - Third circulation test between GPK1 and GPK2: from 04:50 16/08/95 to 19:19 20/08/95

This dataset and codebook correspond to the initial round of survey data gathered in Latvia in 2022, within the project FULFILL - Fundamental Decarbonisation Through Sufficiency By Lifestyle Changes. As part of Work Package 3 (WP3) in the FULFILL project, we collected quantitative data from six countries: Denmark, France, Germany, Italy, Latvia, and India. In the first round of the survey, we recruited a representative sample of approximately 2000 households in each country, taking into account both the individual and household perspectives. The survey includes a quantitative assessment of the carbon footprint in various domains of life, such as housing, mobility, and diet. In addition to this, the survey also measures socio-economic factors such as age, gender, income, education, household size, life stage, and political orientation. Furthermore, the survey includes measures of quality of life, encompassing aspects such as health and well-being, environmental quality, financial security, and comfort.

Methodology: To carry out the calculation of these agroclimatic indicators, daily data of the following climatic variables were used at a resolution of 5 km: Maximum and minimum temperatures (source: CHIRTS). The indicators were calculated for each month during a period of 33 years (1983 - 2016). With the above, the indicators were calculated per month during 1983 -2016 and finally, in order to summarize the calculated indicators, an aggregation of data was carried out, calculating the average in the following time periods: 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 – 2016, 2005 – 2016, 2010 – 2016. The purpose for which these crop-specific indicators were created is to group or characterize the different accessions available in the Genesys database, considering the climatic data from where they were collected. For this, it is necessary to carry out a characterization of zones based on these specific ones per crop, which are part of evaluating when crops are exposed to heat stress.

During June/ July 2000 a hydraulic stimulation program was conducted in the well GPK2. The stimulation was performed over the open hole section of GPK2 from 4431 m (measured depth) to the bottom of the well at around 5084 m. A total of 27 800 m3 of water were injected. At the start of the stimulation 700m3 of brine were injected in an effort to encourage downward growth of the stimulated region. The stimulation covered a period of six days. After a break of seven days a post-stimulation injection test was performed. Microseismic emissions have been monitored and recorded throughout the experiment and continued for a further 11 days after the injection test.

Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.ScenarioMIP.CNRM-CERFACS.CNRM-ESM2-1.ssp434' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The CNRM-ESM2-1 climate model, released in 2017, includes the following components: aerosol: TACTIC_v2, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km), atmosChem: REPROBUS-C_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: Pisces 2.s, seaIce: Gelato 6.1. The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.

Slip model and Relative Source Time Functions for the the 2013 Mw 3.3 St. Gallen earthquake

Ces modélisations, sont associées au projet AsDeCoEUR (Analyses De Composants Energétiques en Usage Réel). Le projet souhaite s’appuyer sur une démarche menée autour d’un travail de thèse visant à comprendre le comportement dynamique, d’étudier le vieillissement et d’estimer l’état de santé des composants énergétiques, batterie et pile à combustible en usage réel. Cette démarche est basée sur l’analyse des données enregistrées sur ces composants dans le projet Mobypost (flotte de 10 véhicules Hydrogènes). La mise en œuvre des compétences et des outils d’analyse numériques développés notamment pour les batteries par le laboratoire Ampère et l’IFSTTAR vise à comprendre et à reproduire les phénomènes de dégradation des composants étudiés. Ces modèles permettent de contribuer à l’étude du vieillissement et d’estimer l’état de santé en usage réel des batteries et des piles à combustible. These models are associated with the project AsDeCoEUR (Analyses De Composants Energétiques en Usage Réel). The project is based on a thesis work aiming at understanding the dynamic behavior, to study the aging and to estimate the health status of the battery and fuel cell energy components in real use. This approach is based on the analysis of data recorded on these components in the Mobypost project (fleet of 10 hydrogen vehicles). The implementation of skills and numerical analysis tools developed in particular for batteries by the Ampère laboratory and IFSTTAR aims to understand and reproduce the degradation phenomena of the components studied. These models contribute to the study of ageing and estimate the state of health of batteries and fuel cells in real use. AdditionnalInformation: Model produced within the framework of Loic Vichard's thesis in electrical engineering (Contribution to the study of the aging of battery and fuel cell components in real use), under the supervision of Daniel Hissel (PU at the FEMTO-ST laboratory), Alexandre Ravey (MCF at UTBM) and Pascal Venet (PU at the Claude Bernard Lyon 1 University). AdditionnalInformation: Modèle produit dans le cadre de la thèse en génie électrique de Loic Vichard (Contribution à l'étude du vieillissement des composantes batteries et pile à combustible en usage réel), sous la direction de Daniel Hissel (PU au laboratoire FEMTO-ST), Alexandre Ravey (MCF à l'UTBM) et Pascal Venet (PU à l'université Claude Bernard Lyon 1). Données computationnelles ou de simulation: - Langage de programmation : Langage Matlab et Python - Plate-forme/OS : Microsoft Windows, Mac OS, Linux,... - Version : MATLAB R2018a - Statut de développement : Actif Simulation or computational data: - Programming language: Matlab language et Python language - Platform/OS: Microsoft Windows, Mac OS, Linux,... - Version: MATLAB R2018a - Development status: Active Project: Thèse de doctorat en génie électrique - Loic Vichard, Contrat doctoral - Projet AsDeCoEUR (Region Bourgogne Franche-Comté) Label: PHE (Plateforme Hydrogène-Energie) UpdatePeriodicity: no update Audience: Research

This dataset and codebook correspond to the second round of survey data gathered in Latvia in 2023, within the project FULFILL - Fundamental Decarbonisation Through Sufficiency By Lifestyle Changes. As part of Work Package 3 (WP3) in the FULFILL project, we collected quantitative data from six countries: Denmark, France, Germany, Italy, Latvia, and India. The first round of the survey, consisted of recruiting a representative sample of approximately 2000 households in each country. In this second survey round, we recruit around 500 respondents from the initial survey round, ensuring representativity is maintained. This survey is very similar to the survey in the first round and includes a lot of identical items, including a quantitative assessment of the carbon footprint in the housing, mobility, and diet sectors, socio-economic factors such as age, gender, income, education, household size, life stage, and political orientation. Furthermore, the survey includes measures of quality of life, encompassing aspects such as health and well-being, environmental quality, financial security, and comfort. New for this second round, we have incorporated questions regarding the measures respondents adopted in response to the 2022 energy crisis.

<P>These data contain spatial information on agroclimatic zones for cocoa farming in Colombia, Ecuador and Peru, as well as impact gradient layers that illustrate the effect that climate change might have on cocoa crops in the same three countries. <br> <br> View list and description of files:<br> 01 RF_current_col.tif Colombia suitability raster – baseline <br> 02 RF_2060s_col.tif Colombia suitability raster – 2040 - 2060 <br> 03 RF_2080s_col.tif Colombia suitability raster – 2060 - 2080 <br> 04 IG_2060s_col.tif Colombia impact gradient – baseline vs 2040 - 2060 <br> 05 IG_2080s_col.tif Colombia impact gradient - baseline vs 2060 - 2080 <br> 06 RF_current_ecu.tif Ecuador suitability raster – baseline <br> 07 RF_2060s_ecu.tif Ecuador suitability raster – 2040 - 2060 <br> 08 RF_2080s_ecu.tif Ecuador suitability raster – 2060 - 2080 <br> 09 IG_2060s_ecu.tif Ecuador impact gradient – baseline vs 2040 - 2060 <br> 10 IG_2080s_ecu.tif Ecuador impact gradient - baseline vs 2060 - 2080 <br> 11 RF_current_per.tif Peru suitability raster – baseline <br> 12 RF_2060s_per.tif Peru suitability raster – 2040 - 2060 <br> 13 RF_2080s_per.tif Peru suitability raster – 2060 - 2080 <br> 14 IG_2060s_per.tif Peru impact gradient – baseline vs 2040 - 2060 <br> 15 IG_2080s_per.tif Peru impact gradient - baseline vs 2060 - 2080<br> <br> Estos datos contienen información espacial de las zonas agroclimaticas para el cultivo de cacao en Colombia, Ecuador y Perú, así como también las capas de gradiente de impacto que ilustran el efecto que tendrá el cambio climático sobre el cultivo de cacao para los mismos tres países..</P> Methodology: Random forest analysis.