Included here are Distributed Acoustic Sensing (DAS) data collected by the horizontal DAS array at Brady's Hot Springs Geothermal Field. The system recorded this data during an M 2.3 explosion at the Nevada Test Site (NTS), which is located approximately 400km southeast of the field. On December 19, 2018, a Silixa iDAS interrogator continuously acquired data on single-mode fibers, starting approximately two hours prior to the detonation and extending until 15 minutes after the event. This dataset comprises separate SEG-Y files that span the entire recording interval. The measurement fiber was part of the PoroTomo experiment and is horizontally emplaced in alluvial fan gravels at a depth of approximately one meter for a distance of more than 2.5 km in a zig-zag pattern. Exact coordinates of this DAS surface array are provided in the attached GDR dataset below. The iDAS interrogator channel spacing is 1.021 m and gauge length is 10 m. Concurrent Distributed Temperature Sensing (DTS) measurements made with a Silixa XT on the multi-mode fibers aided in calibrating the DAS measurements.

description: California State University Long Beach evaluated hydraulic connectivity among geothermal wells using Periodic Hydraulic Testing (PHT) and Distributed Acoustic Sensing (DAS). The principal was to create a pressure signal in one well and observe the responding pressure signals in one or more observation wells to assess the permeability and storage of the fracture network that connects the two wells. DAS measured strain at mHz frequency in monitoring wells in response to PHT.; abstract: California State University Long Beach evaluated hydraulic connectivity among geothermal wells using Periodic Hydraulic Testing (PHT) and Distributed Acoustic Sensing (DAS). The principal was to create a pressure signal in one well and observe the responding pressure signals in one or more observation wells to assess the permeability and storage of the fracture network that connects the two wells. DAS measured strain at mHz frequency in monitoring wells in response to PHT.

This dataset comprises Distributed Acoustic Sensing (DAS) data collected from the Utah FORGE monitoring well 16B(78)-32 (the producer well) during hydraulic fracture stimulation operations conducted in April 2024. The data were acquired continuously over the stimulation period at a temporal sampling rate of 10,000 Hz (10 kS/s) and a spatial resolution of approximately 3.35 feet (1.02109 meters). The measurements were captured using a Neubrex NBX-S4100 Time Gated Digital DAS interrogator unit connected to a single-mode fiber optic cable, which was permanently installed within the casing string. All recorded channels correspond to downhole segments of the fiber optic cable, from a measured depth (MD) of 5,369.35 feet to 10,352.11 feet.

The DAS data reflect raw acoustic energy generated by physical processes within and surrounding the well during stimulation activities at wells 16A(78)-32 and 16B(78)-32. These data have potential applications in analyzing cross-well strain, far-field strain rates (including microseismic activity), induced seismicity, and seismic imaging. Metadata embedded in the attributes of the HDF5 files include detailed information on the measured depths of the channels, interrogation parameters, and other acquisition details.

The dataset also includes a recording of a seminar held on September 19, 2024, where Neubrex's Chief Operating Officer presented insights into the data collection, analysis, and preliminary findings. The raw data files, stored in HDF5 format, are organized chronologically according to the recording intervals from April 9 to April 24, 2024, with each file corresponding to a 12-second recording interval.

These data were collected in the laboratory located at California State University Long Beach. They consist of DAS data collected from a fiber optic cable placed in a tank of water, subjected to oscillating head. These tests are described in the article linked below.

This dataset includes links to the PoroTomo DAS data in both SEG-Y and hdf5 (via h5py and HSDS with h5pyd) formats with tutorial notebooks for use. Data are hosted on Amazon Web Services (AWS) Simple Storage Service (S3) through the Open Energy Data Initiative (OEDI). Also included are links to the documentation for the dataset, Jupyter Notebook tutorials for working with the data as it is stored in AWS S3, and links to data viewers in OEDI for the horizontal (DASH) and vertical (DASV) DAS datasets. Horizontal DAS (DASH) data collection began 3/8/16, paused, and then started again on 3/11/2016 and ended 3/26/2016 using zigzag trenched fiber optic cabels. Vertical DAS (DASV) data collection began 3/17/2016 and ended 3/28/16 using a fiber optic cable through the first 363 m of a vertical well. These are raw data files from the DAS deployment at (DASH) and below (DASV) the surface during testing at the PoroTomo Natural Laboratory at Brady Hot Spring in Nevada. SEG-Y and hdf5 files are stored in 30 second files organized into directories by day. The hdf5 files available via HSDS are stored in daily files. Metadata includes information on the timing of recording gaps and a file count is included that lists the number of files from each day of recording. These data are available for download without login credentials through the free and publicly accessible Open Energy Data Initiative (OEDI) data viewer which allows users to browse and download individual or groups of files.

This dataset was collected using a Distributed Acoustic Sensing (DAS) system with phase-sensitive Optical Time-Domain Reflectometry (Φ-OTDR) technology. It includes labeled and unlabeled acoustic signal measurements gathered around a university campus, covering activities such as walking, running, vehicular movement, and potential security threats like fiber manipulation and fence climbing. The data was captured using an Optasense ODH-F DAS interrogator, which monitors signals from a buried single-mode fiber optic cable. The dataset, stored in HDF5 format, serves as a critical resource for training machine learning models aimed at event classification in DAS systems. Each event is identified by power spectral density (PSD) representations and labeled accordingly. This dataset is ideal for researchers developing and validating machine learning algorithms for DAS-based applications, including structural health monitoring and perimeter security.

The data in this archive are the distributed acoustic sensor (DAS) and well log data used in Daley, et al, 2016. Both raw and processed data are included

These data are from a 2-month long Distributed Acoustic Sensing (DAS) Experiment in Arcata, CA, that was conducted jointly by the U.S. Geological Survey, Cal Poly Humboldt University, and OptaSense Inc. An OptaSense QuantX DAS interrogator was installed in the Arcata Police Station and connected to a fiber owned by Vero Communications that runs from Arcata to Eureka

These data are from a 3-month long deployment of nodal seismometers that ran from May 18th, 2022 until September 1st, 2022 as part of a Distributed Acoustic Sensing (DAS) experiment above the Gorda plate (McGuire, et al., 2022). The sensors were deployed at 44 locations along Old Arcata Rd between Arcata and Eureka California (Figure 1); these locations track the approximate location of the fiber optic cable used as part of the DAS experiment. The instruments have a battery recording life of approximately one month and were swapped out in the same locations in Mid-June, and Mid-July. Thus, there are 132 instruments that were deployed at 44 distinct locations. This record covers the data from the first month (2022-07-21 through 2022-09-01) of the deployment

The Distributed Acoustic Sensing (DAS) market is experiencing robust growth, projected to reach $512 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 10% from 2025 to 2033. This expansion is driven by increasing demand across diverse sectors, including oil & gas, utilities, military applications, and infrastructure monitoring. The need for enhanced pipeline security, efficient leak detection, and improved infrastructure integrity is fueling adoption. Advancements in fiber optic technology, leading to more sensitive and cost-effective DAS systems, are further bolstering market growth. Furthermore, the rising adoption of smart city initiatives and the growing emphasis on predictive maintenance are contributing factors. The market is segmented by type (DASI and DASP) and application, with Oil & Gas and Utility sectors currently dominating, although infrastructure and military applications are showing strong growth potential. Key players like Qinetiq, Halliburton, Schlumberger, and GE (Baker Hughes) are driving innovation and expanding their market presence through technological advancements and strategic partnerships. Competition in the DAS market is intense, with established players facing challenges from emerging companies offering innovative solutions. Geographic expansion is a key strategy for market participants, with North America and Europe currently holding significant market share. However, the Asia-Pacific region presents a lucrative growth opportunity due to rapid infrastructure development and increasing investment in oil and gas exploration. Despite the growth, market penetration faces challenges including the high initial investment cost of DAS systems and the need for specialized expertise in installation and data interpretation. However, these obstacles are being mitigated by decreasing costs and increasing accessibility of training and support services, which supports the projected sustained growth trajectory.

This data set is used to conduct research as presented in a manuscript entitled "Observation of atmospheric and oceanic dynamics using ocean-bottom distributed acoustic sensing" by Taweesintananon et al. in 2022, which is submitted for peer reviews and publications in a journal. It contains processed strain data in nanostrain unit measured by OptoDAS interrogator through a dark fiber in a submarine telecommunication cable, which was trenched into soft sediments at 0--2 m below the seafloor from Longyearbyen to Ny-Ålesund in Svalbard, Norway. The raw data was acquired from 2020-06-23 to 2020-08-04, and converted to strain data in nanostrain unit. To reduce file sizes, we resampled the raw data with 80% antialiasing filter from 1.55 to 20 ms. This processed data then have a Nyquist frequency of 25 Hz, and are archived accordingly. The processed data are stored as structured arrays in MATLAB file format. This data set has no exact positioning data of the fiber optic cable, because they are proprietary to Uninett. However, the distance of each recording channel along the cable from the shore is given in this data set.

Feralex121314/das dataset hosted on Hugging Face and contributed by the HF Datasets community

DAS

## Overview

DAS is a dataset for object detection tasks - it contains Many Thing annotations for 5,042 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

TechnicalRemarks: Data associated with Azzola J, Thiemann K, Gaucher E. Integration of Distributed Acoustic Sensing for real-time seismic monitoring of a geothermal field. Geothermal Energy – Science, Society and Technology. 2023. mini-seed files include data subsets for both events studied in the article: DAS strain-rate data are sampled at 500Hz and provided unfiltered, with station names defined as the depth of the measuring point in well TH3 (datum is ground level). python codes associated with the processing of the DAS strain-rate datasets on the Azure cloud work stations. The codes aim in particular at reading HDF5 files generated by the interrogator and transferred to the Azure data lake.

Distributed Acoustic Sensors (DAS) Market Outlook

The global Distributed Acoustic Sensors (DAS) market size was valued at approximately USD 792.4 million in 2023 and is projected to reach USD 2.1 billion by 2032, growing at a compound annual growth rate (CAGR) of 11.5% during the forecast period. The increasing demand for enhanced surveillance and monitoring systems, along with technological advancements in fiber optics, are significant growth factors propelling the DAS market forward. The versatility in applications across various sectors such as oil & gas, transportation, and military & defense continues to drive market expansion.

The growth of the DAS market is largely attributed to the rising need for advanced security systems. Distributed Acoustic Sensors provide real-time monitoring and have high sensitivity, which makes them indispensable in detecting and preventing unauthorized activities. This is particularly vital in sectors like oil & gas and transportation where security breaches can lead to catastrophic consequences. Moreover, the ongoing global trend of urbanization and industrialization necessitates robust infrastructure monitoring systems, further accelerating the demand for DAS technologies.

Another crucial growth factor is the advancements in fiber optic technology. Modern DAS systems leverage fiber optics for high-precision monitoring over extensive distances. These advancements have resulted in enhanced data acquisition capabilities, leading to improved operational efficiency and safety. The integration of DAS with other technologies such as AI and IoT has also expanded its application scope, making it a critical component in smart city projects and digital transformation initiatives across various industries.

The increasing investments in infrastructure development, particularly in developing regions, offer substantial growth opportunities for the DAS market. Governments and private entities are investing heavily in infrastructure projects, which necessitate sophisticated monitoring systems to ensure structural integrity and safety. Furthermore, the rising incidences of natural disasters and the need for early warning systems have spurred the adoption of DAS technology for seismic monitoring and disaster prevention, contributing to market growth.

Regionally, North America continues to dominate the DAS market due to its early adoption of advanced technologies and significant investments in infrastructure and security. Asia Pacific is emerging as a high-growth region, driven by rapid industrialization, urbanization, and government initiatives focused on smart infrastructure development. Europe also represents a substantial market share, supported by stringent regulatory standards and the need for advanced monitoring systems in various industries.

Component Analysis

The DAS market can be segmented by component into Hardware, Software, and Services. Each component plays a crucial role in the efficient functioning of distributed acoustic sensor systems. The hardware segment comprises the physical fiber optic cables, sensors, and other essential equipment required for the installation and operation of DAS systems. The hardware segment is expected to hold a significant market share due to the increasing deployment of DAS systems across various industries. Advancements in sensor technology and the development of more durable and sensitive fiber optic cables are driving the growth of this segment.

Software forms the backbone of DAS systems by providing the necessary analytics and data interpretation capabilities. The software segment is anticipated to grow at a rapid pace, driven by the increasing need for real-time data processing and the integration of AI and machine learning algorithms in DAS systems. These software solutions enable users to analyze vast amounts of data generated by DAS systems, leading to more accurate and timely decision-making. The development of user-friendly interfaces and advanced data visualization tools further enhances the adoption of DAS software solutions.

The services segment encapsulates installation, maintenance, and training services related to DAS systems. This segment is critical as it ensures the seamless operation and longevity of DAS installations. The increasing complexity of DAS systems necessitates professional services for successful deployment and maintenance. Additionally, the demand for training services is rising as organizations seek to enhance their in-house capabilities in managing and interpreting DAS data. The services segment is expected to witne

Das

## Overview

Das is a dataset for instance segmentation tasks - it contains Lane annotations for 408 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [Public Domain license](https://creativecommons.org/licenses/Public Domain).

Distributed Acoustic Sensing (DAS) Market Outlook

The global Distributed Acoustic Sensing (DAS) market size was valued at approximately USD 500 million in 2023 and is expected to reach USD 1.2 billion by 2032, growing at a compound annual growth rate (CAGR) of about 10% during the forecast period. The growth of this market is significantly driven by the rising demand for advanced monitoring systems across various sectors such as oil & gas, transportation, security, and utilities. The ability of DAS technology to provide real-time data and enhance operational efficiency makes it a preferred choice in industries that require continuous and reliable monitoring solutions.

One of the primary growth factors for the DAS market is the increasing emphasis on security and surveillance in critical infrastructure. Governments and businesses are recognizing the importance of maintaining security and safety in transportation networks, power grids, and other essential services. DAS systems offer the ability to detect and monitor activities over long distances, providing a comprehensive and cost-effective solution for intrusion detection and monitoring. Moreover, technological advancements in fiber optics have made DAS systems more efficient and reliable, further fueling their adoption in the security and surveillance sectors.

The oil and gas industry is another significant driver for the DAS market, as these systems provide critical data for monitoring pipelines and other infrastructure. With the global demand for energy resources continuing to rise, ensuring the safety and integrity of oil and gas pipelines becomes paramount. DAS technology enables real-time monitoring of pipeline conditions, ensuring quick detection of leaks or other anomalies. The ability to prevent environmental disasters and reduce operational downtimes makes DAS an attractive solution for the energy sector, contributing to its market growth.

Additionally, the transportation sector is increasingly adopting DAS technology for its ability to enhance safety and operational efficiency. Railways and highways are utilizing DAS systems for monitoring rail integrity, detecting faults, and preventing accidents. The integration of DAS into transportation networks allows for comprehensive monitoring of infrastructure, ensuring timely maintenance and reducing the likelihood of service disruptions. The growing investment in smart transportation solutions worldwide is anticipated to further boost the demand for DAS technology in this sector.

Regionally, North America is expected to hold a substantial share of the DAS market, driven by the region’s strong focus on technological innovation and infrastructure development. However, the Asia Pacific region is projected to witness the highest growth rate, with a CAGR significantly above the global average, due to rapid industrialization and increasing investments in infrastructure and security. Europe also presents a steady growth trajectory, with countries focusing on modernization of existing infrastructure and adoption of advanced monitoring technologies.

Component Analysis

The Distributed Acoustic Sensing market is categorized into three primary components: hardware, software, and services. The hardware segment comprises various essential components that enable the functioning of DAS systems, such as fiber-optic cables, interrogators, and connectors. The increasing demand for robust and reliable hardware solutions is driven by the need for high-precision monitoring in applications like oil & gas and security. The hardware segment is expected to maintain a significant market share throughout the forecast period, supported by continuous advancements in fiber-optic technology and the development of more efficient and durable components.

The software component plays a crucial role in the DAS market, as it provides the analytical capabilities necessary for interpreting data collected by the hardware. Advanced software solutions enable the conversion of raw data into actionable insights, which are critical for decision-making processes in various industries. The demand for sophisticated software platforms is rising, as businesses seek to leverage real-time data for predictive maintenance, operational efficiency, and enhanced security measures. As such, the software segment is anticipated to exhibit notable growth, driven by increasing investments in software development and integration.

The services segment encompasses a wide range of offerings, including installation, maintenance, and consulting services. As DAS technology bec

The Distributed Acoustic Sensing (DAS) Systems market is experiencing robust growth, projected to reach a value of $1248 million in 2025, exhibiting a Compound Annual Growth Rate (CAGR) of 11.2% from 2025 to 2033. This expansion is driven by increasing demand across diverse sectors, particularly oil & gas, power & utilities, and transportation. The oil and gas industry leverages DAS for enhanced pipeline monitoring and leak detection, minimizing environmental risks and operational disruptions. Similarly, power utilities utilize DAS for improved grid infrastructure monitoring, enabling faster fault detection and enhancing overall grid reliability. The transportation sector is increasingly adopting DAS for infrastructure monitoring, ensuring safety and timely maintenance of critical assets like railways and bridges. Technological advancements in fiber optic sensing technology, leading to improved sensitivity and accuracy, are further fueling market growth. The market is segmented by application (Oil & Gas, Power & Utilities, Transport, Others) and type (DASI Type, DASP Type), with the Oil & Gas segment currently dominating due to its extensive pipeline networks requiring constant monitoring. Further growth is anticipated from increasing adoption in emerging markets and the development of more sophisticated DAS systems with enhanced data analytics capabilities. The diverse applications of DAS, coupled with ongoing technological advancements, are expected to maintain this impressive growth trajectory throughout the forecast period. While initial investment costs might pose a restraint for some smaller companies, the long-term cost savings and enhanced safety provided by DAS are overcoming this barrier. The market is characterized by a competitive landscape featuring both established players like Schlumberger and Halliburton, and innovative startups, leading to constant product development and market expansion. Geographical expansion, particularly in regions with extensive infrastructure development like Asia-Pacific and the Middle East & Africa, promises further significant market opportunities. The ongoing push for improved infrastructure monitoring and safety regulations globally is a key factor driving this sustained growth in the DAS systems market.

This database is based on the MINIDAS format designed by the Incorporated Research Institutions for Seismology (IRIS) with the objective of storing information captured by distributed acoustic systems. These files correspond to the hdf5 type, which facilitates their reading.

In this same dataset you can find the official script to work with this kind of data (for more information see official repository, https://github.com/DAS-RCN/RCN_DASformat).

The Distributed Acoustic Sensing (DAS) System report provides a detailed analysis of emerging investment pockets, highlighting current and future market trends. It offers strategic insights into capital flows and market shifts, guiding investors toward growth opportunities in key industry segments and regions.