29 datasets found
  1. f

    Crocodylian Head Width Allometry Supplemental Information 2: R Code

    • datasetcatalog.nlm.nih.gov
    • figshare.com
    Updated Mar 23, 2019
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    Gignac, Paul; O'brien, Haley (2019). Crocodylian Head Width Allometry Supplemental Information 2: R Code [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000165388
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    Dataset updated
    Mar 23, 2019
    Authors
    Gignac, Paul; O'brien, Haley
    Description

    Folder containing executable R-script for O'Brien et al. 2019 Crocodylian Head Width Allometry. Includes subfolder with all data files necessary to replicate the analysis presented in the paper, as well as the code for BayesModelS written by Nunn and Zhu (2014). Note that Montsecosuchus deperetti is coded as its synonym, Alligatorium (Vidal, 1915) in the included R-script.

  2. f

    Summary and comparison of iron deposition in R-head of caudate nucleus...

    • figshare.com
    xls
    Updated Jun 1, 2023
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    Dan Wang; Wen-Bin Li; Xiao-Er Wei; Yue-Hua Li; Yong-Ming Dai (2023). Summary and comparison of iron deposition in R-head of caudate nucleus between 8 Age Groups. [Dataset]. http://doi.org/10.1371/journal.pone.0050706.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Dan Wang; Wen-Bin Li; Xiao-Er Wei; Yue-Hua Li; Yong-Ming Dai
    License

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

    Description

    P-value >0.1, mean that there was no significant difference between adjacent groups.*P-value P-value >0.05, mean that there was difference between adjacent groups, but the difference was not significant.

  3. N

    pnajdz's temporary collection: R Caudate Head 18_6_20

    • neurovault.org
    Updated Oct 3, 2019
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    (2019). pnajdz's temporary collection: R Caudate Head 18_6_20 [Dataset]. http://identifiers.org/neurovault.image:295228
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    Dataset updated
    Oct 3, 2019
    License

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

    Description

    glassbrain

    Collection description

    None

    Subject species

    homo sapiens

    Modality

    fMRI-BOLD

    Cognitive paradigm (task)

    rest eyes open

    Map type

    Z

  4. f

    Causes of injury and the body area of collision (H-G; head to ground, H-H;...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Jul 15, 2020
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    Kono, Ichiro; Yamamoto, Takumi; Sasaki, Koh; Watanabe, Ichiro; Nakamura, Akihiko; Sato, Haruhiko; Katsuta, Takashi (2020). Causes of injury and the body area of collision (H-G; head to ground, H-H; head to head, H-L; head to leg, H-B; head to the other part of opponent’s body part, LH; low head (head under the opponent’s body), O; others, T; own tackle, OT; oppose tackle, R; ruck (a one-on-one situation), C; collision not categorized as above, S; saving (hold the ball on the ground), O; other or unknown, SC; scrum (8 players battling with the ball), M; maul (3 or more players battling the ball), and cause of the load (MW; multi players weights, LH; low head (head under oppose’ body), H-B; head to the other part of oppose body, N-B: Neck to other part of oppose body, O: Others). [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000538943
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    Dataset updated
    Jul 15, 2020
    Authors
    Kono, Ichiro; Yamamoto, Takumi; Sasaki, Koh; Watanabe, Ichiro; Nakamura, Akihiko; Sato, Haruhiko; Katsuta, Takashi
    Description

    Causes of injury and the body area of collision (H-G; head to ground, H-H; head to head, H-L; head to leg, H-B; head to the other part of opponent’s body part, LH; low head (head under the opponent’s body), O; others, T; own tackle, OT; oppose tackle, R; ruck (a one-on-one situation), C; collision not categorized as above, S; saving (hold the ball on the ground), O; other or unknown, SC; scrum (8 players battling with the ball), M; maul (3 or more players battling the ball), and cause of the load (MW; multi players weights, LH; low head (head under oppose’ body), H-B; head to the other part of oppose body, N-B: Neck to other part of oppose body, O: Others).

  5. U

    Multibeam bathymetric data collected in the vicinity of Woods Hole,...

    • data.usgs.gov
    • catalog.data.gov
    Updated Dec 21, 2024
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    Eric Moore; William Danforth; Alexander Nichols; Charles Worley (2024). Multibeam bathymetric data collected in the vicinity of Woods Hole, Massachusetts, during USGS Field Activity 2021-037-FA using a dual-head Teledyne Seabat T20-R multibeam echo sounder (32-bit GeoTIFF, UTM Zone 19N, WGS 84, GEOID 18 (MSL) Vertical Datum, 50cm resolution) [Dataset]. http://doi.org/10.5066/P13XQBUC
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    Dataset updated
    Dec 21, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Eric Moore; William Danforth; Alexander Nichols; Charles Worley
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    Nov 10, 2021
    Area covered
    Woods Hole, Massachusetts
    Description

    In November 2021, the U.S. Geological Survey collected high-resolution multibeam sonar data in the vicinity of Eel Pond, in Woods Hole, Massachusetts using a dual-head Teledyne Seabat T20-R multibeam echo sounder (MBES). The main objective of this survey was to evaluate new sonar system features prior to their use in future field activities. In addition to bathymetry and relative acoustic backscatter data, normalized acoustic backscatter data were also collected. Unlike relative backscatter data, normalized backscatter data compensate for adjustments made to sonar power, gain, absorption, spreading, and frequency parameters made during acquisition. In order for backscatter intensity levels to remain consistent along survey lines, and from line to line, relative backscatter data require that minimal adjustments are made to these parameters during acquisition, which can degrade the sonar performance for a given survey site. However, the ability to allow the sonar acquisition softwar ...

  6. N

    NAMBLEX: University of Leicester's j(HCHO-R) Spectral Radiometer Data from...

    • catalogue.ceda.ac.uk
    • data-search.nerc.ac.uk
    Updated Sep 11, 2024
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    Andrew R. Rickard (2024). NAMBLEX: University of Leicester's j(HCHO-R) Spectral Radiometer Data from the Mace Head Atmospheric Research Facility, Ireland [Dataset]. https://catalogue.ceda.ac.uk/uuid/d773f0a2bd74e5364fb033ae6f11cd6e
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    Dataset updated
    Sep 11, 2024
    Dataset provided by
    NCAS British Atmospheric Data Centre (NCAS BADC)
    Authors
    Andrew R. Rickard
    License

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

    Time period covered
    Jul 25, 2002 - Sep 2, 2002
    Area covered
    Variables measured
    J / s-1, Error Flag, Time, minutes after midnight
    Description

    The North Atlantic Marine Boundary Layer Experiment (NAMBLEX) campaign was conducted at Mace Head in Ireland from 24 July 2002 to 3 September 2002. During this campaign a suite of instruments, including several from the Universities Facility for Atmospheric Measurements (UFAM). This dataset consists of j(HCHO-R) readings taken every minute from the University of Leicester's spectral radiometer.

  7. f

    Summary of relative rate of spread R’ values for experiments for head fire...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Jan 7, 2021
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    Price, Owen F.; Bradstock, Ross A.; Sharples, Jason J.; Almeida, Miguel; Storey, Michael Anthony; Ribeiro, Carlos (2021). Summary of relative rate of spread R’ values for experiments for head fire and off-centre fire at the three spread intervals (Line 0—Line 1, Line 0—Line 2, Line 0—Line 3). [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000862507
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    Dataset updated
    Jan 7, 2021
    Authors
    Price, Owen F.; Bradstock, Ross A.; Sharples, Jason J.; Almeida, Miguel; Storey, Michael Anthony; Ribeiro, Carlos
    Area covered
    Link light Rail
    Description

    Summary of relative rate of spread R’ values for experiments for head fire and off-centre fire at the three spread intervals (Line 0—Line 1, Line 0—Line 2, Line 0—Line 3).

  8. e

    Edison Footwear Limited Head Office R Export Import Data | Eximpedia

    • eximpedia.app
    Updated Oct 25, 2025
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    (2025). Edison Footwear Limited Head Office R Export Import Data | Eximpedia [Dataset]. https://www.eximpedia.app/companies/edison-footwear-limited-head-office-r/90991766
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    Dataset updated
    Oct 25, 2025
    Description

    Edison Footwear Limited Head Office R Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

  9. f

    R-Data for: Heritability of head size in a hunted large carnivore, the brown...

    • usn.figshare.com
    application/gzip
    Updated May 31, 2023
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    Andreas Zedrosser (2023). R-Data for: Heritability of head size in a hunted large carnivore, the brown bear (Ursus arctos) [Dataset]. http://doi.org/10.23642/usn.7770785.v2
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    application/gzipAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    University of South-Eastern Norway
    Authors
    Andreas Zedrosser
    License

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

    Description

    Data set for publication in Evolutionary Applications. Short abstract: Wild animal populations experience selection pressures from both natural and anthropogenic sources. The availability of extensive pedigrees is increasing along with our ability to quantify the heritability and evolvability of phenotypic traits and thus the speed and potential for evolutionary change in wild populations. The environment may also affect gene expressions in individuals, which may in turn affect the potential of phenotypic traits to respond to selection. Knowledge about the relationship between the genetic and environmental components of phenotypic variation is particularly relevant, given ongoing anthropogenically driven global change

  10. e

    Electrolube Global Head Of R And D Export Import Data | Eximpedia

    • eximpedia.app
    Updated Oct 15, 2025
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    Seair Exim (2025). Electrolube Global Head Of R And D Export Import Data | Eximpedia [Dataset]. https://www.eximpedia.app/
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Oct 15, 2025
    Dataset provided by
    Eximpedia Export Import Trade Data
    Eximpedia PTE LTD
    Authors
    Seair Exim
    Area covered
    Saint Barthélemy, Ethiopia, Malta, San Marino, Equatorial Guinea, Montenegro, Egypt, Vietnam, United States of America, Chad
    Description

    Electrolube Global Head Of R And D Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

  11. S

    R code

    • scidb.cn
    Updated Mar 13, 2025
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    StoneJIAO (2025). R code [Dataset]. http://doi.org/10.57760/sciencedb.21977
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 13, 2025
    Dataset provided by
    Science Data Bank
    Authors
    StoneJIAO
    License

    https://api.github.com/licenses/agpl-3.0https://api.github.com/licenses/agpl-3.0

    Description

    Complete R code for manuscript titled "Real-world effectiveness of novel hormonal agents and docetaxel in patients with prostate cancer: a head-to-head comparison"

  12. d

    GAMs Mean Head Data 50-150 recharge

    • dataone.org
    • hydroshare.org
    Updated Aug 5, 2022
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    Aaron Pena Rodriguez; Gretchen R. Miller (2022). GAMs Mean Head Data 50-150 recharge [Dataset]. https://dataone.org/datasets/sha256%3A17df81f14ad96bef9bd17efc7a2f2653d0818c0f9261312e05fec1564f9b224a
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    Dataset updated
    Aug 5, 2022
    Dataset provided by
    Hydroshare
    Authors
    Aaron Pena Rodriguez; Gretchen R. Miller
    Area covered
    Description

    Modeled data from the Texas Water Development Board's Groundwater Availability Models (GAMs) used for the recharge uncertainty analysis. It contains each one of the head files for the 15 GAMs utilized for the analysis and the 11 recharge scenarios modeled in each one of them (50 to 150% in 10% increments). The river data reflects each river that crosses into each GAM and the baseflow data for each one of them, the mean baseflow for each recharge scenario, and the standard deviation.

  13. Z

    openSAHE: Open Source Statistical Anatomical Atlas of the Human head for...

    • data.niaid.nih.gov
    • data-staging.niaid.nih.gov
    Updated Aug 1, 2022
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    Moura, Fernando S; Beraldo, Roberto G; Ferreira, Leonardo A; Siltanen, Samuli (2022). openSAHE: Open Source Statistical Anatomical Atlas of the Human head for Electrophysiology Applications (precomputed atlases) [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_5559623
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    Dataset updated
    Aug 1, 2022
    Dataset provided by
    University of Helsinki
    Federal University of ABC
    Authors
    Moura, Fernando S; Beraldo, Roberto G; Ferreira, Leonardo A; Siltanen, Samuli
    License

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

    Description

    Computed anatomical atlases of the human head at 100Hz, 1kHz 10kHz 100kHz and 1MHz. Electrical properties: resistivity, conductivity and relative permittivity in SI units. This dataset is part of the article 'Anatomical atlas of the upper part of the human head for electroencephalography and bioimpedance applications' by Moura, F, Beraldo R, Ferreira, L and Siltanen S, Physiological Measurement, Volume 42, Number 10, 2021. If you use any of these files, please add a reference to this article.

    Source code available at https://github.com/fsmMLK/openSAHE

  14. d

    Data from: Head shape modulates diversification of a classic cichlid...

    • search.dataone.org
    • datadryad.org
    Updated Jun 23, 2025
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    Edward Burress; Milton Tan; Peter C. Wainwright (2025). Head shape modulates diversification of a classic cichlid pharyngeal jaw innovation [Dataset]. http://doi.org/10.5061/dryad.q5846sq
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    Dataset updated
    Jun 23, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Edward Burress; Milton Tan; Peter C. Wainwright
    Time period covered
    May 1, 2019
    Description

    Functional innovations are often invoked to explain the uneven distribution of ecological diversity. Innovations may provide access to new adaptive zones by expanding available ecological opportunities and may serve as catalysts of adaptive radiation. However, diversity is often unevenly distributed within clades that share a key innovation, highlighting the possibility that the impact of the innovation is mediated by other traits. Pharyngognathy is a widely recognized innovation of the pharyngeal jaws that enhances the ability to process hard and tough prey in several major radiations of fishes, including marine wrasses and freshwater cichlids. We explored diversification of lower pharyngeal jaw shape, a key feature of pharyngognathy, and the extent to which it is influenced by head shape in Neotropical cichlids. While pharyngeal jaw shape was unaffected by either head length or head depth, its disparity declined dramatically with increasing head width. Head width also predicted the r...

  15. NSW government school enrolments by head count (2004-2023)

    • researchdata.edu.au
    Updated Feb 12, 2017
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    NSW Department of Education (2017). NSW government school enrolments by head count (2004-2023) [Dataset]. https://researchdata.edu.au/nsw-government-school-2004-2023/971416
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    Dataset updated
    Feb 12, 2017
    Dataset provided by
    Government of New South Waleshttp://nsw.gov.au/
    Authors
    NSW Department of Education
    License

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

    Area covered
    New South Wales, Government of New South Wales
    Description

    This dataset shows the student headcount for each individual NSW government school since 2004.\r \r Data Notes:\r \r * National Schools Statistics Collection (NSSC) enrolments collected as at the first Friday in August every year.\r \r * All NSSC enrolments are headcount figures for NSW government schools only.\r \r * Where a school had 5 or fewer students, the figure has been suppressed. A null figure indicates no enrolments were collected for NSSC in the given calendar year.\r \r Data Source:\r \r * Statistics Unit. Centre for Education Statistics and Evaluation.

  16. z

    freemusicarchive in WebDataset Format

    • zenodo.org
    tar
    Updated Jan 23, 2025
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    Niu Yadong; Niu Yadong (2025). freemusicarchive in WebDataset Format [Dataset]. http://doi.org/10.5281/zenodo.14725056
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    tarAvailable download formats
    Dataset updated
    Jan 23, 2025
    Dataset provided by
    Xiaomi
    Authors
    Niu Yadong; Niu Yadong
    License

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

    Description

    This dataset is the freemusicarchive dataset, formatted in the WebDataset format. WebDataset files are essentially tar archives, where each example in the dataset is represented by a pair of files: a WAV audio file and a corresponding JSON metadata file. The JSON file contains the class label and other relevant information for that particular audio sample.

    $ tar tvf fma_small_train_0000000.tar|head       
    -r--r--r-- bigdata/bigdata 26 2025-01-13 10:31 042029.json
    -r--r--r-- bigdata/bigdata 1201434 2025-01-13 10:31 042029.mp3
    -r--r--r-- bigdata/bigdata   17 2025-01-13 10:31 001195.json
    -r--r--r-- bigdata/bigdata 721484 2025-01-13 10:31 001195.mp3
    -r--r--r-- bigdata/bigdata   20 2025-01-13 10:31 032695.json
    -r--r--r-- bigdata/bigdata 1201154 2025-01-13 10:31 032695.mp3
    -r--r--r-- bigdata/bigdata   25 2025-01-13 10:31 118504.json
    -r--r--r-- bigdata/bigdata 1202163 2025-01-13 10:31 118504.mp3
    -r--r--r-- bigdata/bigdata   17 2025-01-13 10:31 123094.json
    -r--r--r-- bigdata/bigdata 961054 2025-01-13 10:31 123094.mp3
    
    $ cat 042029.json
    {"genre": "International"}
  17. z

    maestro in WebDataset Format Creators

    • zenodo.org
    tar
    Updated Feb 12, 2025
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    Niu Yadong; Niu Yadong (2025). maestro in WebDataset Format Creators [Dataset]. http://doi.org/10.5281/zenodo.14858022
    Explore at:
    tarAvailable download formats
    Dataset updated
    Feb 12, 2025
    Dataset provided by
    Xiaomi
    Authors
    Niu Yadong; Niu Yadong
    License

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

    Description

    This dataset is the maestro dataset, formatted in the WebDataset format. WebDataset files are essentially tar archives, where each example in the dataset is represented by a pair of files: a WAV audio file and a corresponding JSON metadata file. The JSON file contains the class label and other relevant information for that particular audio sample.

    $ tar tvf maestro_train_000000.tar|head       
    -r--r--r-- bigdata/bigdata 327458 2025-01-23 13:26 MIDI-Unprocessed_XP_15_R2_2004_01_ORIG_MID--AUDIO_15_R2_2004_02_Track02_wav.json
    -r--r--r-- bigdata/bigdata 120375940 2025-01-23 13:26 MIDI-Unprocessed_XP_15_R2_2004_01_ORIG_MID--AUDIO_15_R2_2004_02_Track02_wav.wav
    -r--r--r-- bigdata/bigdata  625054 2025-01-23 13:26 MIDI-Unprocessed_13_R1_2009_01-03_ORIG_MID--AUDIO_13_R1_2009_13_R1_2009_03_WAV.json
    -r--r--r-- bigdata/bigdata 137713368 2025-01-23 13:26 MIDI-Unprocessed_13_R1_2009_01-03_ORIG_MID--AUDIO_13_R1_2009_13_R1_2009_03_WAV.wav
    -r--r--r-- bigdata/bigdata  356393 2025-01-23 13:26 MIDI-Unprocessed_XP_17_R2_2004_01_ORIG_MID--AUDIO_17_R2_2004_01_Track01_wav.json
    -r--r--r-- bigdata/bigdata 132159804 2025-01-23 13:26 MIDI-Unprocessed_XP_17_R2_2004_01_ORIG_MID--AUDIO_17_R2_2004_01_Track01_wav.wav
    -r--r--r-- bigdata/bigdata  255210 2025-01-23 13:26 ORIG-MIDI_01_7_6_13_Group_MID--AUDIO_01_R1_2013_wav--2.json
    -r--r--r-- bigdata/bigdata 58523088 2025-01-23 13:26 ORIG-MIDI_01_7_6_13_Group_MID--AUDIO_01_R1_2013_wav--2.wav
    -r--r--r-- bigdata/bigdata  1190145 2025-01-23 13:26 MIDI-UNPROCESSED_04-07-08-10-12-15-17_R2_2014_MID--AUDIO_17_R2_2014_wav.json
    -r--r--r-- bigdata/bigdata 390151460 2025-01-23 13:26 MIDI-UNPROCESSED_04-07-08-10-12-15-17_R2_2014_MID--AUDIO_17_R2_2014_wav.wav
    

    $ cat ORIG-MIDI_01_7_6_13_Group_MID--AUDIO_01_R1_2013_wav--2.json
    [
      ...
      {"start": 323.546875, "end": 323.5859375, "note": 51}, 
      {"start": 323.703125, "end": 323.74869791666663, "note": 51}, 
      {"start": 323.8450520833333, "end": 323.8919270833333, "note": 51}, 
      {"start": 324.00390625, "end": 324.0442708333333, "note": 51},
      ...
    ]
  18. c

    Partial pressure of carbon dioxide, temperature, salinity and other...

    • s.cnmilf.com
    • catalog.data.gov
    Updated Oct 2, 2025
    + more versions
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    (Point of Contact) (2025). Partial pressure of carbon dioxide, temperature, salinity and other variables collected from surface underway observations using carbon dioxide (CO2) gas analyzer, shower head chamber equilibrator for autonomous CO2 measurement and other instruments during R/V Ryofu Maru III cruises in the Pacific Ocean, Japan Sea, East China Sea in 2022 (NCEI Accession 0276425) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/partial-pressure-of-carbon-dioxide-temperature-salinity-and-other-variables-collected-from-surf2
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    Dataset updated
    Oct 2, 2025
    Dataset provided by
    (Point of Contact)
    Area covered
    East China Sea, Pacific Ocean
    Description

    This dataset includes surface underway data collected from R/V Ryofu Maru III cruises in the Pacific Ocean, Japan Sea, East China Sea from 2022-01-26 to 2022-10-29. These data include partial pressure of carbon dioxide in the water, barometric pressure, sea surface salinity and sea surface temperature. The instruments used to collect these data include carbon dioxide (CO2) gas analyzer, shower head chamber equilibrator for autonomous carbon dioxide (CO2) measurement.

  19. g

    Fugacity of carbon dioxide (fCO2), temperature, salinity and other variables...

    • gimi9.com
    Updated Nov 2, 2025
    + more versions
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    (2025). Fugacity of carbon dioxide (fCO2), temperature, salinity and other variables collected from surface underway observations using shower head equilibrator, carbon dioxide gas detector and other instruments from R/V Thomas G. Thompson cruises in the Pacific | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_21124cc9f746cc71c51d635cf133deab54dfdc57
    Explore at:
    Dataset updated
    Nov 2, 2025
    License

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

    Description

    This dataset consists of surface underway ocean measurements of fugacity of carbon dioxide (fCO2), salinity, and sea surface temperature collected during R/V Thomas G. Thompson cruises in the Pacific Ocean from 2023-01-22 to 2023-07-01. The measurements were collected to evaluate the spatial distribution of air-sea CO2 flux. These measurements were collected with support from NOAA's Global Ocean Monitoring and Observing (GOMO) Program.

  20. t

    Face R-CNN - Dataset - LDM

    • service.tib.eu
    Updated Dec 16, 2024
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    (2024). Face R-CNN - Dataset - LDM [Dataset]. https://service.tib.eu/ldmservice/dataset/face-r-cnn
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    Dataset updated
    Dec 16, 2024
    Description

    Face detection using Faster R-CNN with new multi-task loss function, online hard example mining, and multi-scale training.

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Gignac, Paul; O'brien, Haley (2019). Crocodylian Head Width Allometry Supplemental Information 2: R Code [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000165388

Crocodylian Head Width Allometry Supplemental Information 2: R Code

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Dataset updated
Mar 23, 2019
Authors
Gignac, Paul; O'brien, Haley
Description

Folder containing executable R-script for O'Brien et al. 2019 Crocodylian Head Width Allometry. Includes subfolder with all data files necessary to replicate the analysis presented in the paper, as well as the code for BayesModelS written by Nunn and Zhu (2014). Note that Montsecosuchus deperetti is coded as its synonym, Alligatorium (Vidal, 1915) in the included R-script.

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