BUSCADOR RECOLECTA

This dataset corresponds to the model made based on the EGS project of Basel (2006, Switzerland). The model is solving coupled hydro-mechanical problem for isotropic and heterogeneous 2D models on a surface of 16 km2, located at 4630-meters depth coinciding with the injection depth in the crystalline basement at Basel. The heterogeneous domain is crossed by a fault zone with a length of 1200 meters and a width of 30 meters, oriented at 20° from the maximum horizontal stress. The maximum principal stress S_Hmax is aligned with y-axis (SHmax=160 MPa, Shmin=84 MPa, Sv=115 MPa). The hydrostatic pressure is set at 45 MPa following a hydrostatic profile and the temperature at the depth of the reservoir is set at 190°C. Stimulation parameters are inputs as wellhead pressure based on the injection strategy from Häring et al. (2008), injection fluid is water. - “ .gid” is the Code_Bright folder with the model of Basel. The file “_gen.dat” contains the input data of the model (including material properties, initial and boundary conditions and the time intervals). The file “_gri.dat” includes the information on the mesh. The “root.dat” includes the name of the model. To run simulations, execute the Code_Bright executable “Cb_2020_21.exe” in a folder that contains the three input files and the executable.  V13_isotropic.gid corresponds to the model with isotropic domain.  V13_inclined.gid corresponds to the model with the domain crossed by the fault zone., Peer reviewed

Aquestes dades han estat preses amb diferents sensors instal·lats al terrat de la facultat de Física de la UB. Es tracten de temperatures, pressions, humitats relatives, irradiàncies i velocitats del vent. Les dades han estat mesurades cada deu minuts i estan separades per mesos en diferents fitxers. Al fitxer 'Guia' s'hi troba una curta descripció de cada dada.

Supplemental tables (24). Supplemental note 1, 2, 3. Supplemental Figure 1., Peer reviewed

This is a domain-specific lexicon for English for environment (ENV) domain. This lexicon contain both, subcategorization frames for verbs and lexical semantic classes for nouns. This lexicon has been automatically created using PANACEA webservices using crawled data. The crawled data was obtained crawling web pages that were automatically detected to be in the English language and were automatically classified as relevant to the ENV domain. Data collection took place in the summer of 2011.

This is a domain-specific lexicon for English for labour (LAB) domain. This lexicon contain both, subcategorization frames for verbs and lexical semantic classes for nouns. This lexicon has been automatically created using PANACEA webservices using crawled data. The crawled data was obtained crawling web pages that were automatically detected to be in the English language and were automatically classified as relevant to the LAB domain. Data collection took place in the summer of 2011.

CF Standard Name Table (Version 79, 2022-03-19), IPCC-WGI AR6 Interactive Atlas dataset: Monthly gridded data from the global (CMIP5, CMIP6) and regional (CORDEX) model projections for the impact-relevant variables and indices included in the IPCC Interactive Atlas (https://interactive-atlas.ipcc.ch)., Peer reviewed

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PANACEA Annotated Greek Labour Legislation Corpus Version 2 consists of Greek texts in the Labour Legislation (LAB) domain that were collected and automatically annotated in the framework of PANACEA (http://www.panacea-lr.eu), an EU-FP7 Funded Project under Grant Agreement 248064. The texts were crawled web pages that were automatically detected to be in the Greek language and were automatically classified as relevant to the LAB domain. Data collection took place in the summer of 2011. The automatically assigned annotations deal with sentence and token segmentation, POS and lemma, dependency relations and named entities.

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This lexicon was produced using an inductive SCF classifier, the tpc_subcat_inductive webservice in the PANACEA project. The lexicon was automatically produced from the PANACEA MCv2 crawled corpus, by parsing the data with the RASP parser (Third Release, Open-Source Version, February 2001, available from http://ilexir.co.uk; see also E. Briscoe, J. Carroll, and R. Watson, 2006, The Second Release of the RASP System, in Proceedings of COLING/ACL Interactive Presentation Sessions), and then processing the parsed data with tpc_subcat_inductive. Only verb lemmas with at least 200 instances in MCv2 were retained.