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  • Elsevier  (2)
  • PANGAEA  (1)
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  • 1
    facet.materialart.
    Unknown
    Vertical displacement time series from GNSS stations in the great Alpine area (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: ASCII files reporting the position time-series, in the Eurasia-fixed reference frame, of GNSS in the great Alpine area (excluding Switzerland). The columns are: Time, U, Su, site, long, lati, representing, respectively, epoch (in decimal years), displacement in the Up component (in mm), uncertainty (one standard deviation) of the Up component (in mm), Station ID, Longitude of the station (°), Latitude of the station (°).
    Keywords: 0256_GPS; 0257_GPS; 0258_GPS; 0259_GPS; 0261_GPS; 0264_GPS; 0265_GPS; 0266_GPS; 0268_GPS; 0269_GPS; 0270_GPS; 0272_GPS; 0273_GPS; 0275_GPS; 0276_GPS; 0278_GPS; 0279_GPS; 0280_GPS; 0281_GPS; 0282_GPS; 0285_GPS; 0286_GPS; 0291_GPS; 0292_GPS; 0293_GPS; 0294_GPS; 0296_GPS; 0384_GPS; 0386_GPS; 0388_GPS; 0389_GPS; 0391_GPS; 0392_GPS; 0396_GPS; 0397_GPS; 0398_GPS; 0400_GPS; 0401_GPS; 0402_GPS; 0403_GPS; 0404_GPS; 0405_GPS; 1271_GPS; ACCE_GPS; ACOM_GPS; AGDE_GPS; AGDS_GPS; AGEN_GPS; AGNE_GPS; AIGL_GPS; AILT_GPS; ALPE_GPS; Alps; ALSN_GPS; ALST_GPS; ALU2_GPS; AMB2_GPS; AMPE_GPS; AMST_GPS; ANAY_GPS; ANDA_GPS; ANDE_GPS; ANDF_GPS; AO01_GPS; AOST_GPS; ARAN_GPS; ARDN_GPS; ARNA_GPS; ASIA_GPS; ASTI_GPS; ATHI_GPS; ATPU_GPS; AUBG_GPS; AUTN_GPS; AVAL_GPS; AVR1_GPS; AXPV_GPS; BACT_GPS; BADE_GPS; BAJA_GPS; BAL2_GPS; BANN_GPS; BARC_GPS; BBYS_GPS; BEAU_GPS; BEVA_GPS; BEVE_GPS; BFO1_GPS; BIEL_GPS; BLEI_GPS; BLFT_GPS; BLG2_GPS; BLGN_GPS; BLIX_GPS; BLNO_GPS; BOBB_GPS; BODO_GPS; BOLG_GPS; BOLO_GPS; BOLZ_GPS; BOR__GPS; BORC_GPS; BORM_GPS; BOSC_GPS; BOUS_GPS; BOVE_GPS; BRBZ_GPS; BRET_GPS; BREZ_GPS; BRSE_GPS; BRU1_GPS; BSCN_GPS; BTAC_GPS; BUAN_GPS; BUSL_GPS; BUTE_GPS; BZRG_GPS; CACI_GPS; CAEN_GPS; CAFV_GPS; CAKO_GPS; CAMA_GPS; CAMN_GPS; CANL_GPS; CANV_GPS; CARP_GPS; CARZ_GPS; CAST_GPS; CATU_GPS; CAUS_GPS; CBRY_GPS; CDOM_GPS; CEL9_GPS; CELJ_GPS; CERN_GPS; CERV_GPS; CEVY_GPS; CFRM_GPS; CGIA_GPS; CHA9_GPS; CHAM_GPS; CHAS_GPS; CHBL_GPS; CHBS_GPS; CHI9_GPS; CHIA_GPS; CHIV_GPS; CHMX_GPS; CHOD_GPS; CHOT_GPS; CHPH_GPS; CHRM_GPS; CHTL_GPS; CITD_GPS; CJIH_GPS; CKRO_GPS; CLAP_GPS; CLFD_GPS; CLMT_GPS; COAU_GPS; CODR_GPS; COLI_GPS; COLL_GPS; COMO_GPS; CONC_GPS; CPRA_GPS; CPRI_GPS; CREA_GPS; CREI_GPS; CREM_GPS; CRNO_GPS; CRSN_GPS; CSTN_GPS; CSVI_GPS; CT30_GPS; CTAB_GPS; CTB5_GPS; CUOR_GPS; CVSE_GPS; CZNO_GPS; DALA_GPS; DATE/TIME; DELN_GPS; DEMN_GPS; DEVE_GPS; DIJO_GPS; DILL_GPS; displacements; DJON_GPS; DLBG_GPS; DOCO_GPS; DOJX_GPS; DOMS_GPS; DRUS_GPS; EGLT_GPS; ENTZ_GPS; EOST_GPS; ERCK_GPS; ERLA_GPS; ESAB_GPS; ESCO_GPS; Event label; EZEV_GPS; FAEZ_GPS; FDET_GPS; FDOS_GPS; FELT_GPS; FERA_GPS; FERR_GPS; FETA_GPS; FEUR_GPS; FIED_GPS; FJCP_GPS; FLDB_GPS; FLRC_GPS; FRTT_GPS; FUSE_GPS; GANP_GPS; GARD_GPS; GDIJ_GPS; GENO_GPS; GENU_GPS; GIE1_GPS; GLRA_GPS; GNSS; GNSS data; GNSS Receiver; GOD9_GPS; GORI_GPS; GOZZ_GPS; GPS; GRA__GPS; GRAC_GPS; GRAS_GPS; GRAV_GPS; GRAZ_GPS; GRON_GPS; GRZM_GPS; GSR1_GPS; GUAS_GPS; GUIL_GPS; GUMM_GPS; GUSS_GPS; HKBL_GPS; HUEG_GPS; IENG_GPS; ILBO_GPS; ILIB_GPS; IMP3_GPS; ISLA_GPS; ITIM_GPS; JARG_GPS; JENB_GPS; JOAN_GPS; JOUX_GPS; KARL_GPS; KARX_GPS; KIBG_GPS; KLA__GPS; KLAG_GPS; KOE2_GPS; KRBG_GPS; KTZ2_GPS; KUNZ_GPS; LAND_GPS; LANK_GPS; LASP_GPS; LATITUDE; LBUG_GPS; LEBE_GPS; LECC_GPS; LEIB_GPS; LENE_GPS; LEOB_GPS; LEOP_GPS; LERO_GPS; LFAZ_GPS; LGES_GPS; LIN__GPS; LINZ_GPS; LLIV_GPS; LOA9_GPS; LOAN_GPS; LOD0_GPS; LONGITUDE; LOZN_GPS; LRTZ_GPS; LSIE_GPS; LUCE_GPS; LYSH_GPS; MABZ_GPS; MAGA_GPS; MAKS_GPS; MAN2_GPS; MAN9_GPS; MANT_GPS; MARI_GPS; MARO_GPS; MARS_GPS; MARY_GPS; MATR_GPS; MATT_GPS; MAUP_GPS; MAVE_GPS; MDEA_GPS; MEDI_GPS; MELN_GPS; MENA_GPS; MERY_GPS; MGIS_GPS; MGRD_GPS; MICH_GPS; MINE_GPS; MIRA_GPS; MIRE_GPS; MIST_GPS; MLNO_GPS; MLVL_GPS; MNBL_GPS; MOCA_GPS; MODA_GPS; MOGG_GPS; MOGN_GPS; MONB_GPS; MONC_GPS; MONF_GPS; MONV_GPS; MONZ_GPS; MOP2_GPS; MOPI_GPS; MORB_GPS; MORN_GPS; MPRA_GPS; MPRV_GPS; MRGE_GPS; MRON_GPS; MSEL_GPS; MSGT_GPS; MSMM_GPS; MSRT_GPS; MT01_GPS; MT06_GPS; MTMN_GPS; MTRZ_GPS; MUEJ_GPS; MURZ_GPS; NARB_GPS; NAYC_GPS; NERO_GPS; NICA_GPS; NICE_GPS; NOGT_GPS; NOVE_GPS; NOVG_GPS; NOVR_GPS; NVPT_GPS; OATO_GPS; OBE__GPS; OBE4_GPS; OCHS_GPS; ODEZ_GPS; OGAG_GPS; OPMT_GPS; OSTA_GPS; OTER_GPS; PADO_GPS; PALI_GPS; PAM__GPS; PANA_GPS; PARD_GPS; PARM_GPS; PARO_GPS; PARR_GPS; PASS_GPS; PAT2_GPS; PAVI_GPS; PAYR_GPS; PAZO_GPS; PDOM_GPS; PEJO_GPS; PENC_GPS; PERP_GPS; PERX_GPS; PFA2_GPS; PIA1_GPS; PIAC_GPS; POBU_GPS; PORD_GPS; PORE_GPS; POZE_GPS; POZZ_GPS; PREM_GPS; PREX_GPS; PRIE_GPS; PRIJ_GPS; PRNY_GPS; PTRC_GPS; PTUJ_GPS; PUYA_GPS; PUYV_GPS; PZNA_GPS; RABU_GPS; RADO_GPS; RAMS_GPS; RAYL_GPS; REBO_GPS; REGG_GPS; RGNC_GPS; RIJE_GPS; RISO_GPS; RIXH_GPS; ROET_GPS; RONC_GPS; ROSD_GPS; ROV9_GPS; ROVE_GPS; ROVI_GPS; ROVR_GPS; RSPX_GPS; RST2_GPS; RSTL_GPS; SAAL_GPS; SABA_GPS; SALZ_GPS; SAPP_GPS; SAQU_GPS; SARL_GPS; SARN_GPS; SAUN_GPS; SAUV_GPS; SAV2_GPS; SAVI_GPS; SBG2_GPS; SBLS_GPS; SBPO_GPS; SCDA_GPS; SCHI_GPS; SDNA_GPS; SEEF_GPS; SEES_GPS; SERM_GPS; SERR_GPS; SETE_GPS; SEUR_GPS; SEVI_GPS; SGIL_GPS; SGIO_GPS; SHEI_GPS; SHLA_GPS; SILA_GPS; SILL_GPS; SIRT_GPS; SJDV_GPS; SJPL_GPS; SLOG_GPS; SLVT_GPS; SMNE_GPS; SMSP_GPS; SOMB_GPS; SON9_GPS; SOPH_GPS; SORI_GPS; SOUS_GPS; SPER_GPS; SPRN_GPS; SRBO_GPS; SRJV_GPS; STBX_GPS; STBZ_GPS; STEY_GPS; STJ9_GPS; STMA_GPS; STMR_GPS; STPO_GPS; STPS_GPS; STV2_GPS; SUBO_GPS; SUSE_GPS; TAMB_GPS; TANC_GPS; TANY_GPS; TARO_GPS; TARV_GPS; TEOL_GPS; Text file; Text file (File Size); THNV_GPS; Time series; TLIA_GPS; TLMF_GPS; TLSE_GPS; TOIR_GPS; TORC_GPS; TORI_GPS; TRAI_GPS; TRBL_GPS; TRE5_GPS; TRE8_GPS; TRE9_GPS; TREB_GPS; TREN_GPS; TREX_GPS; TRF2_GPS; TRI1_GPS; TRIE_GPS; TRMO_GPS; TRNO_GPS; TROP_GPS; TRYS_GPS; TUBO_GPS; TVSO_GPS; UDI1_GPS; UDI2_GPS; UNUD_GPS; VACO_GPS; VALJ_GPS; VALX_GPS; VARE_GPS; VAUD_GPS; VDOM_GPS; VELO_GPS; VEN1_GPS; VERB_GPS; VERG_GPS; VERO_GPS; VFCH_GPS; VICE_GPS; VIGE_GPS; VILR_GPS; VISN_GPS; VITT_GPS; VLCH_GPS; VLKM_GPS; VMIG_GPS; VNTE_GPS; VOUR_GPS; VSBO_GPS; WAB2_GPS; WEL2_GPS; WEYE_GPS; WIEN_GPS; WLBH_GPS; WOBG_GPS; WOFU_GPS; WT21_GPS; WTZA_GPS; WTZR_GPS; WTZS_GPS; WTZZ_GPS; ZABO_GPS; ZADA_GPS; ZALA_GPS; ZIDF_GPS; ZIM2_GPS; ZIMJ_GPS; ZIMM_GPS; ZOUF_GPS; ZYWI_GPS
    Type: Dataset
    Format: text/tab-separated-values, 545 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 2
    facet.materialart.
    Unknown
    Pre- and post-seismic deformation related to the 2015, Mw7.8 Gorkha earthquake, Nepal (2017)
    Elsevier
    Details
    Publication Date: 2017-09-01
    Print ISSN: 0040-1951
    Electronic ISSN: 1879-3266
    Topics: Geosciences , Physics
    Published by Elsevier
    Location Call Number Expected Availability
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    PAPER CURRENT
  • 3
    facet.materialart.
    Unknown
    Deterministic and stochastic chaos characterize laboratory earthquakes (2024)
    Elsevier
    Details
    Publication Date: 2024-05-02
    Description: We analyze frictional motion for a laboratory fault as it passes through the stability transition from stable sliding to unstable motion. We study frictional stick-slip events, which are the lab equivalent of earthquakes, via dynamical system tools in order to retrieve information on the underlying dynamics and to assess whether there are dynamical changes associated with the transition from stable to unstable motion. We find that the lab seismic cycles characteristics of a low-dimensional system with average dimension similar to that of natural slow earthquakes ($〈$5). We also investigate local properties of the attractor and find maximum instantaneous dimension $\gtrsim$10, indicating that some regions of the phase space require a high number of degrees of freedom (dofs). Our analysis does not preclude deterministic chaos, but the lab seismic cycle is best explained by a random attractor based on rate- and state-dependent friction whose dynamics is stochastically perturbed. We find that minimal variations of 0.05\% of the shear and normal stresses applied to the experimental fault influence the large-scale dynamics and the recurrence time of labquakes. While complicated motion including period doubling is observed near the stability transition, even in the fully unstable regime we do not observe truly periodic behavior. Friction's nonlinear nature amplifies small scale perturbations, reducing the predictability of the otherwise periodic macroscopic dynamics. As applied to tectonic faults, our results imply that even small stress field fluctuations ($\lesssim$150 kPa) can induce coefficient of variations in earthquake repeat time of a few percent. Moreover, these perturbations can drive an otherwise fast-slipping fault, close to the critical stability condition, into a mixed behavior involving slow and fast ruptures.
    Description: Published
    Description: 117995
    Description: OST4 Descrizione in tempo reale del terremoto, del maremoto, loro predicibilità e impatto
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
    Location Call Number Expected Availability
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    PAPER (OA)
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