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Found 21 results.

40Ar/39Ar age, whole rock and mineral composition of Cenomanian Serra do Cuó basalts on the Brazilian equatorial margin

This dataset comprises new chemical, isotopic and geochronological analyses for 3 samples from the Cenomanian Serra do Cuó olivine basalts from northeast Brazil. Whole rock major, trace element and Sr-Nd-Pb isotope compositions as well as mineral oxide compositions for pyroxenes, plagioclase, olivine, and Fe-Ti oxides. New analyses on 3 samples are presented in the bulk and in-situ data templates developed by EarthChem. A compilation of all new analyses and previous whole-rock data from Sial (1978) are also provided. Analyses were carried out at the Geoanalítica Core Facility, Isotope Geology Research Center and Geochronological Research Center (CPGeo) at the Instituto de Geociências, University of São Paulo, Brazil. This dataset is supplementary to: Macêdo Filho, A. A., Oliveira, A. L., Klöcking, M., Janasi, V. A., Archanjo, C. J., & Lino, L. M. (2025). Petrology of Cenomanian basalts on the Brazilian equatorial margin: Implications for the tectonomagmatic evolution of the drift phase. Geochemistry, 126248. https://doi.org/10.1016/j.chemer.2025.126248. The data publication includes the following Excel Tables: (1) 2025-002_MacedoFilho_BulkSample_Analyses (DIGIS/EarthChem Template, EarthChem Team, 2022a): Whole rock major, trace element and Sr-Nd-Pb isotope compositions and 40Ar/39Ar age; with additional information on sample collection and analytical methods. (2) 2025-002_MacedoFilho_InSitu_Analyses (DIGIS /EarthChem Template, EarthChem Team, 2022b): Mineral oxide compositions for pyroxene, plagioclase, olivine, and Fe-Ti oxides; with additional information on sample collection and analytical methods. (3) 2025-002_MacedoFilho_suppl-compiled: supplementary data tables from Macêdo Filho et al. (2025). Excel file with the six spreadsheets: Table A1. whole-rock chemistry; Table A2. Feldspar chemistry; Table A3. Pyroxene chemistry; Table A4. Olivine chemistry; Table A5. Titanomagnetite chemistry; Table A6. Ar-Ar Geochronology. Table A1 compiles analyses from Sial (1978) as well as new data. Reference: Sial, A. N. (1978). Major and trace chemistry of the Tertiary basaltic suite of Rio Grande do Norte and Paraíba, northeast Brazil. Jornal de Mineralogia, 7, 119-128.

Mo, Sr, Nd isotopes and major and trace element concentrations for lavas and enclaves from Solander Volcano, basement rocks and one altered oceanic basalt

Other

Higher frequency data products of the International Monitoring System’s infrasound stations

This dataset consists of data products derived from broadband signal detection lists that have been processed for the certified infrasound stations of the International Monitoring System. More specifically, within the CTBT-relevant infrasound range (around 0.01-4 Hz), this dataset covers higher frequencies (1-3 Hz) and is therefore called the ‘hf’ product. The temporal resolution (time step and window length) is 5 min. For processing the infrasound data, the Progressive Multi-Channel Correlation (PMCC) array processing algorithm with a one-third octave frequency band configuration between 0.01 and 4 Hz has been used. The detected signals from the most dominant directions in terms of number of arrivals within a time window and the product-specific frequency range are summarized at predefined time steps. Along with several detection parameters such as the back azimuth, apparent velocity, or mean frequency, additional quantities for assessing the relative quality of the detection parameters are provided. The dataset is available as a compressed .zip file containing the yearly data products (.nc files, NetCDF format) of all certified stations (since 2003). Further information on the processing and details about the open-access data products can be found in: Hupe et al. (2022), IMS infrasound data products for atmospheric studies and civilian applications, Earth System Science Data, doi:10.5194/essd-14-4201-2022

Very low frequency data products of the International Monitoring System’s infrasound stations

This dataset consists of data products derived from broadband signal detection lists that have been processed for the certified infrasound stations of the International Monitoring System. More specifically, this dataset, called the ‘maw’ product, covers a very low frequency range of infrasound (0.02-0.07 Hz). The temporal resolution (time step and window length) is 30 min. For processing the infrasound data, the Progressive Multi-Channel Correlation (PMCC) array processing algorithm with a one-third octave frequency band configuration between 0.01 and 4 Hz has been used. The detected signals from the most dominant directions in terms of number of arrivals within a time window and the product-specific frequency range are summarized at predefined time steps. Along with several detection parameters such as the back azimuth, apparent velocity, or mean frequency, additional quantities for assessing the relative quality of the detection parameters are provided. The dataset is available as a compressed .zip file containing the yearly data products (.nc files, NetCDF format) of all certified stations (since 2003). Further information on the processing and details about the open-access data products can be found in: Hupe et al. (2022), IMS infrasound data products for atmospheric studies and civilian applications, Earth System Science Data, doi:10.5194/essd-14-4201-2022.

Microbarom low-frequency data products of the International Monitoring System’s infrasound stations

This dataset consists of data products derived from broadband signal detection lists that have been processed for the certified infrasound stations of the International Monitoring System. More specifically, this dataset covers the dominant frequency range of microbaroms (0.15-0.35 Hz) and is therefore called the ‘mb_lf’ product. The temporal resolution (time step and window length) is 15 min. For processing the infrasound data, the Progressive Multi-Channel Correlation (PMCC) array processing algorithm with a one-third octave frequency band configuration between 0.01 and 4 Hz has been used. The detected signals from the most dominant directions in terms of number of arrivals within a time window and the product-specific frequency range are summarized at predefined time steps. Along with several detection parameters such as the back azimuth, apparent velocity, or mean frequency, additional quantities for assessing the relative quality of the detection parameters are provided. The dataset is available as a compressed .zip file containing the yearly data products (.nc files, NetCDF format) of all certified stations (since 2003). Further information on the processing and details about the open-access data products can be found in: Hupe et al. (2022), IMS infrasound data products for atmospheric studies and civilian applications, Earth System Science Data, doi:10.5194/essd-14-4201-2022

Microbarom high-frequency data products of the International Monitoring System’s infrasound stations

This dataset consists of data products derived from broadband signal detection lists that have been processed for the certified infrasound stations of the International Monitoring System. More specifically, this dataset covers, among other phenomena, the upper frequency range of microbaroms (0.45-0.65 Hz) and is therefore called the ‘mb_hf’ product. The temporal resolution (time step and window length) is 15 min. For processing the infrasound data, the Progressive Multi-Channel Correlation (PMCC) array processing algorithm with a one-third octave frequency band configuration between 0.01 and 4 Hz has been used. The detected signals from the most dominant directions in terms of number of arrivals within a time window and the product-specific frequency range are summarized at predefined time steps. Along with several detection parameters such as the back azimuth, apparent velocity, or mean frequency, additional quantities for assessing the relative quality of the detection parameters are provided. The dataset is available as a compressed .zip file containing the yearly data products (.nc files, NetCDF format) of all certified stations (since 2003). Further information on the processing and details about the open-access data products can be found in: Hupe et al. (2022), IMS infrasound data products for atmospheric studies and civilian applications, Earth System Science Data, doi:10.5194/essd-14-4201-2022

Global reference histograms of the IMS infrasound broadband detection lists

This data set builds upon the broadband detection lists of the International Monitoring System (IMS)’s infrasound stations. The infrasound data of these stations are regularly (re-)processed at the German National Data Centre at BGR (e.g., Ceranna et al., 2019; https://doi.org/10.1007/978-3-319-75140-5_13) using the Progressive Multi-Channel Correlation (PMCC) array processing method (Cansi, 1995; https://doi.org/10.1029/95GL00468). The latest reprocessing with 26 one-third octave spaced frequency bands in the IMS band of interest (0.01 to 4 Hz) included all 53 stations that were certified within the period 2003 to 2020. Based on the resulting broadband detection lists, this data set expands on former analyses of the coherent ambient noise. For each station with a data availability of at least one year (by the end of 2020), monthly reference histograms for the detection parameters back azimuth, apparent speed, and root-mean-squared amplitude are provided. The histograms provide a means to determine the deviation from nominal monthly behaviour and thus enable assessing the plausibility of detections and potential anomalies – without determining their cause – in the detected parameters. Overall, these quality metrics will be, among other applications, a useful supplement to the open-access IMS infrasound data products provided by Hupe et al., which are also available in BGR’s product centre. Further details of the reference histograms are described in the following publication by Kristoffersen et al.: "Updated global reference models of broadband coherent infrasound signals for atmospheric studies and civilian applications" (https://doi.org/10.1029/2022EA002222).

Infrasonic Signatures of 1001 Rocket Launches for Space Missions

Rocket launches for space missions are well-defined ground-truth events generating strong infrasonic signatures. This data set covers ground-truth information for 1001 rocket launches from 27 global spaceports between 2009 and mid-2020. Infrasound signatures from up to 73% of the launches were identified at infrasound arrays of the International Monitoring System. The detection parameters were obtained using the Progressive Multi-Channel Correlation (PMCC) algorithm. Propagation and quality parameters supplement the PMCC detection parameters in this dataset. The results are provided for further use as a ground-truth reference in geophysical and atmospheric research. The open-access publication “1001 Rocket Launches for Space Missions and their Infrasonic Signature” (Pilger et al., 2021, Geophys. Res. Letters, doi:10.1029/2020GL092262) provides further details on this data set. Data format: The data are provided both as ASCII files (separate lists of infrasound signatures and rocket launch events, plus README files) and as a comprehensive netCDF file.

SMMS: Bathymetrie (WMS)

Definition: “Bathymetrie” bezeichnet die Vermessung der topographischen Gestalt der Sohle eines Gewässers. Der Begriff wird auch oft – analog zum Wort “Topographie” – synonym für die Gestalt der Gewässersohle verwendet. Gewässer in diesem Zusammenhang sind Meere, Flüsse oder geschlossene Binnengewässer. Im Rahmen des Projektes SMMS handelt es sich bei bathymetrischen Datensätzen um solche, die die Höhenverteilung in der Deutschen Bucht inklusive der Mündungsbereiche der Ästuare Ems, Weser und Elbe darstellen. Durch morphologische Aktivitäten des Gewässerbodens ist ein solches bathymetrisches Modell stets nur für einen gewissen Zeitraum oder Zeitpunkt gültig. Datenerzeugung: Die Basis für bathymetrische Produkte bilden gerasterte bathymetrische Modelle, die mithilfe des Funktionalen Bodenmodells, einem datenbasierten hindcast-Simulationsmodell, über räumlich-zeitliche Interpolationsverfahren aus einer Datenbasis von See- und Landvermessungen verschiedenster Datentypen erstellt werden. Für die Jahre 1960-2020 wird jeweils ein gerastertes bathymetrisches Modell in 10 m Auflösung für die Deutsche Bucht bereit gestellt. Produkt: Ein 10 m Raster der Deutschen Bucht jeweils gültig zum 01.07. für das Jahr, wobei an jedem Rasterknoten die Höhe abgelegt ist. Das Produkt wird im GeoTiff-Format zusammen mit Quellenkarten (vorher und nachher, Shapefiles) bereitgestellt. Die Bathymetrien stehen in Zusammenhang mit dem Projekt EasyGSH-DB, decken jedoch einen größeren Zeitraum ab. Dienst: Der Dienst visualisiert ausgewählte Jahre aus dem SMMS Forschungszeitraum.

openSenseMap: Sensor Box Smart City MS #14 Bült

Hier misst die Smart City Münster Umweltdaten.

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