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Compilation of environmental and CO2 data and an R script at La Selva Biological Station, Costa Rica (2018)

Fernandez-Bou, Angel Santiago ; Dierick, Diego ; Swanson, Amanda Cantu ; [weitere]

PANGAEA

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Publikationsdatum: 2023-06-10

Schlagwort(e): Costa Rica; LaSelva_CR; MULT; Multiple investigations

Materialart: Dataset

Format: application/zip, 240 kBytes

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CO2 measurements related to leaf cutter ants (Atta cephalotes) and ancillary data taken at La Selva Biological Station, Costa Rica (2018)

Fernandez-Bou, Angel Santiago ; Dierick, Diego ; Swanson, Amanda Cantu ; [weitere]

PANGAEA

In: Supplement to: Fernandez-Bou, Angel Santiago; Dierick, Diego; Swanson, Amanda Cantu; Allen, Michael Fred; Alvarado, Ana Grace Fitzimons; Artavia-León, Allan; Carrasquillo-Quintana, Odemaris; Lachman, Deo Anthony; Oberbauer, Steven F; Pinto-Tomás, Adrián; Rodríguez-Reyes, Yorelyz; Schwendenmann, Luitgard; Zelikova, Tamara Jane; Harmon, Thomas Christopher (2019): The Role of the Ecosystem Engineer, the Leaf‐Cutter Ant Atta cephalotes, on Soil CO2 Dynamics in a Wet Tropical Rainforest. Journal of Geophysical Research: Biogeosciences, 124(2), 260-273, https://doi.org/10.1029/2018JG004723

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Publikationsdatum: 2023-06-10

Beschreibung: This data set contains CO2 measurements related to leaf cutter ants (Atta cephalotes) and ancillary data taken at La Selva Biological Station, Costa Rica. The data sets are (1) soil CO2 concentrations measurements on nest, non-nest and abandoned nests from 2015 to 2018, (2) soil CO2 emissions measurements on nest, non-nest and abandoned nests from June 2017 to August 2017, and (3) nest vent CO2 emission measurements from June 2017 to August 2017. It as well includes the code to analyze the data with generalized linear mixed models, correlation of soil CO2 concentration with moving average precipitation at several depths, and plots of soil CO2 emissions and volumetric water content on on nest, non-nest and abandoned nests. Finally, it includes the raw results of the code.

Schlagwort(e): Costa Rica; LaSelva_CR; MULT; Multiple investigations

Materialart: Dataset

Format: application/zip, 6 datasets

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Global DAS Month 2023, Teleseismic Event Recordings, Potsdam Fiber (2023)

Wollin, Christopher ; Ehsaninezhad, Leila ; Hart, Johannes ; [weitere]

GFZ Data Services

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Publikationsdatum: 2023-06-06

Beschreibung: Abstract

Beschreibung: The here referenced dataset provides eventbased Distributed Acoustic Sensing (DAS) recordings made with an approximately 22 km long dark telecommunication fiber lying in urban Potsdam and surroundings. For each of 164 M〉=5 earthquakes occurring in February 2023 and listed by the USGS, one hour of data is provided starting with the event's origin time. Additionally, the whole day of February 14 is provided in hourly files. The data was recorded in the frame of the global DAS month, an initiative to collaboratively record and share simultaneously recorded DAS data from all over the world (https://www.norsar.no/in-focus/global-das-monitoring-month-february-2023). DAS is an emerging technology increasingly used by seismologists to convert kilometer long optical fibers into seismic sensors.

Schlagwort(e): Distributed daynamic strain sensing ; Distributed Acoustic Sensing ; DAS ; teleseismic earthquakes ; dark fiber ; telecommunication fiber ; DAS-month ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 SEISMIC PROFILE 〉 SEISMIC BODY WAVES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 SEISMIC PROFILE 〉 SEISMIC SURFACE WAVES

Materialart: Dataset , Dataset

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Raw and processed Distributed Acoustic Sensing Ambient Noise data in an Urban Area (2024)

Ehsaninezhad, Leila ; Wollin, Christopher ; Rodríguez Tribaldos, Verónica ; [weitere]

GFZ Data Services

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Publikationsdatum: 2024-05-13

Beschreibung: Abstract

Beschreibung: The here presented data set contains time series recording urban seismic noise which was evaluated with MASW to retrieve a shear wave velocity model for subsurface characterization. Distributed Acoustic Sensing (DAS) technology was used to acquire the seismic data in strain-rate unit along an 11-km long telecommunication fiber optic cable which runs parallel to a major road in Berlin, Germany. The original DAS data was recorded at the sampling frequency of 1000 Hz using iDAS Silixa Interrogator Unit with a gauge length of 10 m and a channel spacing of 8 m for the duration of 15 days form 5th of April 2021 to 20th April 2021.

Schlagwort(e): Seismic interferometry ; Multi-Channel Analysis of Surface Waves ; Distributed Acoustic Sensing (DAS) ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 SEISMIC PROFILE 〉 SEISMIC SURFACE WAVES

Materialart: Dataset , Dataset

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