100+ datasets found
  1. Raw Data Collection Records

    • figshare.com
    docx
    Updated Nov 24, 2021
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    Raini Sydney (2021). Raw Data Collection Records [Dataset]. http://doi.org/10.6084/m9.figshare.17074943.v1
    Explore at:
    docxAvailable download formats
    Dataset updated
    Nov 24, 2021
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Raini Sydney
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    research data records

  2. C

    Raw Data for ConfLab: A Data Collection Concept, Dataset, and Benchmark for...

    • data.4tu.nl
    Updated Jun 7, 2022
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    Chirag Raman; Jose Vargas Quiros; Stephanie Tan; Ashraful Islam; Ekin Gedik; Hayley Hung (2022). Raw Data for ConfLab: A Data Collection Concept, Dataset, and Benchmark for Machine Analysis of Free-Standing Social Interactions in the Wild [Dataset]. http://doi.org/10.4121/20017748.v2
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    Dataset updated
    Jun 7, 2022
    Dataset provided by
    4TU.ResearchData
    Authors
    Chirag Raman; Jose Vargas Quiros; Stephanie Tan; Ashraful Islam; Ekin Gedik; Hayley Hung
    License

    https://data.4tu.nl/info/fileadmin/user_upload/Documenten/4TU.ResearchData_Restricted_Data_2022.pdfhttps://data.4tu.nl/info/fileadmin/user_upload/Documenten/4TU.ResearchData_Restricted_Data_2022.pdf

    Description

    This file contains raw data for cameras and wearables of the ConfLab dataset.


    ./cameras

    contains the overhead video recordings for 9 cameras (cam2-10) in MP4 files.

    These cameras cover the whole interaction floor, with camera 2 capturing the

    bottom of the scene layout, and camera 10 capturing top of the scene layout.

    Note that cam5 ran out of battery before the other cameras and thus the recordings

    are cut short. However, cam4 and 6 contain significant overlap with cam 5, to

    reconstruct any information needed.


    Note that the annotations are made and provided in 2 minute segments.

    The annotated portions of the video include the last 3min38sec of x2xxx.MP4

    video files, and the first 12 min of x3xxx.MP4 files for cameras (2,4,6,8,10),

    with "x" being the placeholder character in the mp4 file names. If one wishes

    to separate the video into 2 min segments as we did, the "video-splitting.sh"

    script is provided.


    ./camera-calibration contains the camera instrinsic files obtained from

    https://github.com/idiap/multicamera-calibration. Camera extrinsic parameters can

    be calculated using the existing intrinsic parameters and the instructions in the

    multicamera-calibration repo. The coordinates in the image are provided by the

    crosses marked on the floor, which are visible in the video recordings.

    The crosses are 1m apart (=100cm).


    ./wearables

    subdirectory includes the IMU, proximity and audio data from each

    participant at the Conflab event (48 in total). In the directory numbered

    by participant ID, the following data are included:

    1. raw audio file

    2. proximity (bluetooth) pings (RSSI) file (raw and csv) and a visualization

    3. Tri-axial accelerometer data (raw and csv) and a visualization

    4. Tri-axial gyroscope data (raw and csv) and a visualization

    5. Tri-axial magnetometer data (raw and csv) and a visualization

    6. Game rotation vector (raw and csv), recorded in quaternions.


    All files are timestamped.

    The sampling frequencies are:

    - audio: 1250 Hz

    - rest: around 50Hz. However, the sample rate is not fixed

    and instead the timestamps should be used.


    For rotation, the game rotation vector's output frequency is limited by the

    actual sampling frequency of the magnetometer. For more information, please refer to

    https://invensense.tdk.com/wp-content/uploads/2016/06/DS-000189-ICM-20948-v1.3.pdf


    Audio files in this folder are in raw binary form. The following can be used to convert

    them to WAV files (1250Hz):


    ffmpeg -f s16le -ar 1250 -ac 1 -i /path/to/audio/file


    Synchronization of cameras and werables data

    Raw videos contain timecode information which matches the timestamps of the data in

    the "wearables" folder. The starting timecode of a video can be read as:

    ffprobe -hide_banner -show_streams -i /path/to/video


    ./audio

    ./sync: contains wav files per each subject

    ./sync_files: auxiliary csv files used to sync the audio. Can be used to improve the synchronization.

    The code used for syncing the audio can be found here:

    https://github.com/TUDelft-SPC-Lab/conflab/tree/master/preprocessing/audio

  3. d

    TagX Data collection for AI/ ML training | LLM data | Data collection for AI...

    • datarade.ai
    .json, .csv, .xls
    Updated Jun 18, 2021
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    TagX (2021). TagX Data collection for AI/ ML training | LLM data | Data collection for AI development & model finetuning | Text, image, audio, and document data [Dataset]. https://datarade.ai/data-products/data-collection-and-capture-services-tagx
    Explore at:
    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Jun 18, 2021
    Dataset authored and provided by
    TagX
    Area covered
    Russian Federation, Colombia, Belize, Antigua and Barbuda, Iceland, Qatar, Equatorial Guinea, Benin, Djibouti, Saudi Arabia
    Description

    We offer comprehensive data collection services that cater to a wide range of industries and applications. Whether you require image, audio, or text data, we have the expertise and resources to collect and deliver high-quality data that meets your specific requirements. Our data collection methods include manual collection, web scraping, and other automated techniques that ensure accuracy and completeness of data.

    Our team of experienced data collectors and quality assurance professionals ensure that the data is collected and processed according to the highest standards of quality. We also take great care to ensure that the data we collect is relevant and applicable to your use case. This means that you can rely on us to provide you with clean and useful data that can be used to train machine learning models, improve business processes, or conduct research.

    We are committed to delivering data in the format that you require. Whether you need raw data or a processed dataset, we can deliver the data in your preferred format, including CSV, JSON, or XML. We understand that every project is unique, and we work closely with our clients to ensure that we deliver the data that meets their specific needs. So if you need reliable data collection services for your next project, look no further than us.

  4. p

    DAWN GRaND Mars Bundle: Raw Data Collection

    • sbnarchivedemo.psi.edu
    • arcnav.psi.edu
    Updated Feb 24, 2021
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    (2021). DAWN GRaND Mars Bundle: Raw Data Collection [Dataset]. https://sbnarchivedemo.psi.edu/urn:nasa:pds:dawn-grand-mars
    Explore at:
    Dataset updated
    Feb 24, 2021
    Description

    DAWN GRaND Mars Bundle: Raw Data Collection

  5. Z

    Quantitative raw data for "Large scale regional citizen surveys report"...

    • data.niaid.nih.gov
    Updated Feb 3, 2022
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    Chapizanis, Dimitrios (2022). Quantitative raw data for "Large scale regional citizen surveys report" (D1.4) [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_5958017
    Explore at:
    Dataset updated
    Feb 3, 2022
    Dataset provided by
    Bakratsas, Thomas
    Altsitsiadis, Efthymios
    Chapizanis, Dimitrios
    Panori, Anastasia
    Hauschildt, Christian
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset presents the quantitative raw data that was collected under the H2020 RRI2SCALE project for the D1.4 - “Large scale regional citizen surveys report”. The dataset includes the answers that were provided by almost 8,000 participants from 4 pilot European regions (Kriti, Vestland, Galicia, and Overijssel) regarding the general public's views, concerns, and moral issues about the current and future trajectories of their RTD&I ecosystem. The original survey questionnaire was created by White Research SRL and disseminated to the regions through supporting pilot partners. Data collection took place from June 2020 to September 2020 through 4 different waves – one for each region. Based on the conclusion of a consortium vote during the kick-off meeting, it was decided that instead of resource-intensive methods that would render data collection unduly expensive, to fill in the quotas responses were collected through online panels by survey companies that were used for each region. For the statistical analysis of the data and the conclusions drawn from the analysis, you can access the "Large scale regional citizen surveys report" (D1.4).

  6. Lucy Terminal Tracking Cameras (TTCam) Dinkinesh Raw Data Collection

    • pds-smallbodies.astro.umd.edu
    Updated 2024
    + more versions
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    James F. Bell III; Ernest Cisneros; Yifan Zhao (2024). Lucy Terminal Tracking Cameras (TTCam) Dinkinesh Raw Data Collection [Dataset]. http://doi.org/10.26007/epd2-zk41
    Explore at:
    Dataset updated
    2024
    Dataset provided by
    NASAhttp://nasa.gov/
    datacite
    Authors
    James F. Bell III; Ernest Cisneros; Yifan Zhao
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Dataset funded by
    NASAhttp://nasa.gov/
    Description

    This collection consists of raw image products acquired by the TTCam instrument during the Lucy Mission Dinkinesh Encounter. The purpose of the Dinkinesh encounter was primarily as an in-flight test of an autonomous range-finding and tracking system that is a critical component of Lucy's operations.

  7. NEAR RSS Raw Troposphere Data Collection

    • arcnav.psi.edu
    Updated May 24, 2025
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    GIORGINI, JON D.; Kahan, Daniel (2025). NEAR RSS Raw Troposphere Data Collection [Dataset]. https://arcnav.psi.edu/urn:nasa:pds:near_rss_raw:data_tro
    Explore at:
    Dataset updated
    May 24, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Authors
    GIORGINI, JON D.; Kahan, Daniel
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    NEAR Raw TRO Data Collection This collection was migrated from PDS3 to PDS4 in 2024 by the Radio Science Sub-Node. This bundle contains all the raw data from the PDS3 data sets NEAR_A_RSS_1_5_EROS_FLYBY_V1_0, NEAR_A_RSS_1_5_EROS_ORBIT_V1_0, and NEAR_A_RSS_1_5_MATHILDE_V1_0.

  8. East Australian Current mooring raw data collection 2021-2022

    • data.csiro.au
    Updated Jan 12, 2023
    + more versions
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    Chris Chapman; Rebecca Cowley; Bernadette Sloyan (2023). East Australian Current mooring raw data collection 2021-2022 [Dataset]. http://doi.org/10.25919/egf9-3510
    Explore at:
    Dataset updated
    Jan 12, 2023
    Dataset provided by
    CSIROhttp://www.csiro.au/
    Authors
    Chris Chapman; Rebecca Cowley; Bernadette Sloyan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 17, 2021 - Jul 26, 2022
    Area covered
    Dataset funded by
    IMOS
    CSIROhttp://www.csiro.au/
    Marine National Facility
    Description

    The East Australian Current mooring raw data collection 2021-2022 contains all the raw instrument data files and instrument setup information, build documentation, deployment and recovery log sheets and scanned paper documentation for the deployment covering the period May, 2021 to July, 2022. Quality controlled data and gridded data products from this mooring deployment can be accessed via the links in the Related Links section of this collection record. Lineage: The raw data instrument data files and associated documentation were collected from the East Australian Current (EAC) moorings (6 moorings) during the 2021-2022 deployment. The deployment voyage was undertaken on the Marine National Facility voyage IN2021_V03 and recovery on IN2022_V06. Data included in the collection is in the instrument formats created from each instrument type. The data was uploaded from each instrument at the end of the deployment and these uploaded files are what are included in this collection.
    Documentation in the collection includes scanned paper notes, log sheets in excel format, pdf diagrams of the moorings, instrument setup files and other documentation considered essential records associated with the deployment. No quality control or data analysis has been completed on the data in this collection, quality controlled data and data products are available through the links section.

  9. AT & M raw data

    • figshare.com
    docx
    Updated Jan 1, 2024
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    Yihan Zhang (2024). AT & M raw data [Dataset]. http://doi.org/10.6084/m9.figshare.22558378.v2
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    docxAvailable download formats
    Dataset updated
    Jan 1, 2024
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Yihan Zhang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The raw data and coding table of the manuscript: The relationship between insecure attachment and Machiavellianism

  10. Lucy LOng Range Reconnaissance Imager (L'LORRI) Dinkinesh Raw Data...

    • pdssbn.astro.umd.edu
    Updated 2024
    + more versions
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    Harold A. Weaver; Neil Dello Russo; Olivier Barnouin; Howard Taylor; John R. Spencer (2024). Lucy LOng Range Reconnaissance Imager (L'LORRI) Dinkinesh Raw Data Collection [Dataset]. http://doi.org/10.26007/pf3e-hw18
    Explore at:
    Dataset updated
    2024
    Dataset provided by
    NASAhttp://nasa.gov/
    datacite
    Authors
    Harold A. Weaver; Neil Dello Russo; Olivier Barnouin; Howard Taylor; John R. Spencer
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Dataset funded by
    NASAhttp://nasa.gov/
    Description

    This collection contains raw panchromatic (350 - 850 nm) images acquired by the L'LORRI instrument during the Lucy Mission Dinkinesh Encounter.

  11. East Australian Current mooring raw data collection 2018-2019

    • researchdata.edu.au
    datadownload
    Updated Jun 29, 2022
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    Rebecca Cowley; Bernadette Sloyan (2022). East Australian Current mooring raw data collection 2018-2019 [Dataset]. http://doi.org/10.25919/AGAY-3J58
    Explore at:
    datadownloadAvailable download formats
    Dataset updated
    Jun 29, 2022
    Dataset provided by
    CSIROhttp://www.csiro.au/
    Authors
    Rebecca Cowley; Bernadette Sloyan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 21, 2018 - Sep 24, 2019
    Area covered
    Description

    The East Australian Current mooring raw data collection 2018-2019 contains all the raw instrument data files and instrument setup information, build documentation, deployment and recovery log sheets and scanned paper documentation for the deployment covering the period April, 2018 to September, 2019. Quality controlled data and gridded data products from this mooring deployment can be accessed via the links in the Related Links section of this collection record. Lineage: The raw data instrument data files and associated documentation were collected from the East Australian Current (EAC) moorings (6 moorings) during the 2018-2019 deployment. The deployment voyage was undertaken on the Marine National Facility voyage IN2018_V03 and the recovery on IN2019_V05. Data included in the collection is in the instrument formats created from each instrument type. The data was uploaded from each instrument at the end of the deployment and these uploaded files are what are included in this collection. Documentation in the collection includes scanned paper notes, log sheets in excel format, pdf diagrams of the moorings, instrument setup files and other documentation considered essential records associated with the deployment. No quality control or data analysis has been completed on the data in this collection, quality controlled data and data products are available through the links section.

  12. ExoMars 2016 CaSSIS Raw-level Data Product Collection

    • esdcdoi.esac.esa.int
    Updated Dec 7, 2021
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    European Space Agency (2021). ExoMars 2016 CaSSIS Raw-level Data Product Collection [Dataset]. http://doi.org/10.5270/esa-lsglomt
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    Dataset updated
    Dec 7, 2021
    Dataset provided by
    European Space Agencyhttp://www.esa.int/
    Description

    CaSSIS

    CaSSIS (Colour and Stereo Surface Imaging System), is a high-resolution, 4.5 m per pixel (15 ft/pixel), colour stereo camera, designed for building accurate digital elevation models of the Martian surface. CaSSIS is designed to acquire targeted images of Mars at a rate of 10–20 images per day from a roughly circular orbit 400 km above the surface. Each image can be acquired in up to four colours and stereo capability is provided by the use of a novel rotation mechanism. A typical product from one image acquisition will be a 9.5 km × ∼45 km swath, in full colour and in stereo, and from one over-flight of the target thereby reducing atmospheric influences inherent in stereo and colour products from previous high resolution imagers. The Principal Investigator is Nick Thomas, from the University of Bern, Switzerland.

    The Raw_Data Collection

    The raw data collection contains the raw science and housekeeping data from the instrument and the data is released publicly on a daily basis with a six month lag from the data being obtained. Physically the collection is organised by science phase, then orbit range in groups of 100 orbits, then orbit. Housekeeping is then organised into a Housekeeping directory. Science data is organised into a Science directory, then by CaSSIS unique ID (to distinguish a single observation), then CaSSIS filter. The reason for this separation is that a single observation can have up to a few hundred raw frame lets per filter, so each science directory will contain from tens to hundreds of files. (Note a download from the PSA will also include accompanying browse images but these are actually housed in the Browse Collection.)
    A description of the raw data products can be found in the CaSSIS Experiment to Archive ICD (EAICD). This can be found under documents in the user interface or via the Document Collection in the PSA ftp distribution. A quick start guide can also be found at:

  13. Lucy Multispectral Visible Imaging Camera (MVIC) Dinkinesh Raw Data...

    • pdssbn.astro.umd.edu
    Updated 2024
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    Dennis Reuter; Amy Simon; Allen Lunsford; Hannah Kaplan; William M. Grundy; Carly Howett; Matthew Montanaro; Gerald E. Weigle (2024). Lucy Multispectral Visible Imaging Camera (MVIC) Dinkinesh Raw Data Collection [Dataset]. http://doi.org/10.26007/mhzr-y832
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    Dataset updated
    2024
    Dataset provided by
    NASAhttp://nasa.gov/
    datacite
    Authors
    Dennis Reuter; Amy Simon; Allen Lunsford; Hannah Kaplan; William M. Grundy; Carly Howett; Matthew Montanaro; Gerald E. Weigle
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Dataset funded by
    NASAhttp://nasa.gov/
    Description

    This collection consists of raw image products acquired by the MVIC instrument during the Lucy Mission Dinkinesh Encounter.

  14. Data from: MARS GLOBAL SURVEYOR RAW DATA SET - CRUISE V1.0

    • catalog.data.gov
    • data.staging.idas-ds1.appdat.jsc.nasa.gov
    • +2more
    Updated Apr 11, 2025
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    National Aeronautics and Space Administration (2025). MARS GLOBAL SURVEYOR RAW DATA SET - CRUISE V1.0 [Dataset]. https://catalog.data.gov/dataset/mars-global-surveyor-raw-data-set-cruise-v1-0-28b86
    Explore at:
    Dataset updated
    Apr 11, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    The Mars Global Surveyor (MGS) Radio Science (RS) Raw Data Archive (RDA) is a time-ordered collection of raw and partially processed data collected during the MGS Mission to Mars. For more information on the investigations proposed see [TYLERETAL1992].

  15. The NEAR X-ray Spectrometer (XRS) Data Raw Collection

    • arcnav.psi.edu
    Updated Feb 11, 2001
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    Holland, D.B.; Taylor, H.W.; Trombka, J.I. (2001). The NEAR X-ray Spectrometer (XRS) Data Raw Collection [Dataset]. https://arcnav.psi.edu/urn:nasa:pds:near.xrs:data_raw
    Explore at:
    Dataset updated
    Feb 11, 2001
    Dataset provided by
    NASAhttp://nasa.gov/
    Authors
    Holland, D.B.; Taylor, H.W.; Trombka, J.I.
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This collection contains all the raw data collected from the XRS instrument during the NEAR mission.

  16. East Australian Current mooring raw data collection 2016-2018

    • data.csiro.au
    • researchdata.edu.au
    Updated Jun 29, 2022
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    Bernadette Sloyan; Rebecca Cowley (2022). East Australian Current mooring raw data collection 2016-2018 [Dataset]. http://doi.org/10.25919/4dnf-2e07
    Explore at:
    Dataset updated
    Jun 29, 2022
    Dataset provided by
    CSIROhttp://www.csiro.au/
    Authors
    Bernadette Sloyan; Rebecca Cowley
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Oct 31, 2016 - May 3, 2018
    Area covered
    Dataset funded by
    Marine National Facility
    IMOS
    CSIROhttp://www.csiro.au/
    Description

    The East Australian Current mooring raw data collection 2016-2018 contains all the raw instrument data files and instrument setup information, build documentation, deployment and recovery log sheets and scanned paper documentation for the deployment covering the period November, 2016 to May, 2018. Quality controlled data and gridded data products from this mooring deployment can be accessed via the links in the Related Links section of this collection record. Lineage: The raw data instrument data files and associated documentation were collected from the East Australian Current (EAC) moorings (6 moorings) during the 2016-2018 deployment. The deployment voyage was undertaken on the Marine National Facility voyage IN2016_V06 and the recovery on IN2018_V03. Data included in the collection is in the instrument formats created from each instrument type. The data was uploaded from each instrument at the end of the deployment and these uploaded files are what are included in this collection.
    Documentation in the collection includes scanned paper notes, log sheets in excel format, pdf diagrams of the moorings, instrument setup files and other documentation considered essential records associated with the deployment. No quality control or data analysis has been completed on the data in this collection, quality controlled data and data products are available through the links section.

  17. Raw Data Package of compressed archive of video recordings for Moth drinking...

    • figshare.com
    bin
    Updated Apr 12, 2024
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    Tomas Pierce (2024). Raw Data Package of compressed archive of video recordings for Moth drinking rate and proboscis depth project, specifically for submission titled "Feeding rate in adult Manduca sexta is unaffected by proboscis submergence depth" submitted to PLOS ONE. [Dataset]. http://doi.org/10.6084/m9.figshare.25493233.v1
    Explore at:
    binAvailable download formats
    Dataset updated
    Apr 12, 2024
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Tomas Pierce
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The raw data in a compressed archive of .CINE format video files created and analyzed in the research project focused on moth drinking rates and proboscis submergence for adult Manduca sexta.This is the raw data for the submission to PLOS ONE titled "Feeding rate in adult Manduca sexta is unaffected by proboscis submergence depth."The file data_package.tar.gz is a gzip-compressed tar archive containing the video files used for the analysis described in the mentioned paper, which is implemented by the code in the GitHub repository at https://github.com/Tomas-Pierce-at-UNC/MothDrinks.Each video in the archive is in the .cine format defined by Phantom Vision and depicts a feeding bout for a moth and date identified in the file name. Video data is 8-bit and single-channel (grayscale). The code expects the data files to be within a folder named data2/ within the same folder the code is stored, so that the relative file paths for data files are data2/*.cine.

  18. p

    NEAR RSS Raw Ionosphere Data Collection

    • arcnav.psi.edu
    Updated Feb 12, 2001
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    (2001). NEAR RSS Raw Ionosphere Data Collection [Dataset]. https://arcnav.psi.edu/urn:nasa:pds:near_rss_raw
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    Dataset updated
    Feb 12, 2001
    Description

    NEAR RSS Raw Ionosphere Data Collection

  19. Lucy Thermal Emission Spectrometer (L'TES) Dinkinesh Raw Data Collection

    • pdssbn.astro.umd.edu
    Updated 2024
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    Phillip R. Christensen; Victoria E. Hamilton; Saadat Anwar; Greg L Mehall; Heather Bowles (2024). Lucy Thermal Emission Spectrometer (L'TES) Dinkinesh Raw Data Collection [Dataset]. http://doi.org/10.26007/ev1y-7g87
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    Dataset updated
    2024
    Dataset provided by
    NASAhttp://nasa.gov/
    datacite
    Authors
    Phillip R. Christensen; Victoria E. Hamilton; Saadat Anwar; Greg L Mehall; Heather Bowles
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Dataset funded by
    NASAhttp://nasa.gov/
    Description

    This collection consists of raw science products acquired by the L'TES instrument during the Lucy Mission Dinkinesh Encounter.

  20. d

    SFSU EOS YSI Raw data

    • catalog.data.gov
    Updated Jun 10, 2023
    + more versions
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    SFSU EOS (Point of Contact) (2023). SFSU EOS YSI Raw data [Dataset]. https://catalog.data.gov/dataset/sfsu-eos-ysi-raw-data
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    Dataset updated
    Jun 10, 2023
    Dataset provided by
    SFSU EOS (Point of Contact)
    Description

    Raw water quality data collected from a fixed pier at 1 meter below mean lower low water. Instrument collecting data is a YSI 6600 V4 sonde with a conductivity/temperature probe, strain gauge pressure sensor, optical dissolved oxygen probe, optical fluorescence chlorophyll probe, optical fluorescence turbidity probe and potentiometric glass bulb pH probe. Data are raw and not flagged or curated in any manner other than curtailed for deployment periods where the YSI sonde is deployed in the water. Download at your own risk. These data may be used and redistributed for free but they are not intended for legal use, since they may contain inaccuracies. For use for publications please reference the Central and Northern California Ocean Observing system (CeNCOOS) and NOAA. Neither the data provider, CeNCOOS, NOAA, nor the United States Government, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, or this information. Please see http://erddap.cencoos.org/erddap/tabledap/tiburon-water-tibc1.html for QA/QC data with flagging.

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Raini Sydney (2021). Raw Data Collection Records [Dataset]. http://doi.org/10.6084/m9.figshare.17074943.v1
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Raw Data Collection Records

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docxAvailable download formats
Dataset updated
Nov 24, 2021
Dataset provided by
Figsharehttp://figshare.com/
figshare
Authors
Raini Sydney
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

research data records

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