66 datasets found
  1. Seair Exim Solutions

    • seair.co.in
    + more versions
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    Seair Exim, Seair Exim Solutions [Dataset]. https://www.seair.co.in
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    India
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  2. I

    mote-genie-20170224T1732

    • data.ioos.us
    • gliders.ioos.us
    • +2more
    erddap +2
    Updated Mar 21, 2025
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    Glider DAC (2025). mote-genie-20170224T1732 [Dataset]. https://data.ioos.us/dataset/mote-genie-20170224t1732
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    erddap, opendap, erddap-tabledapAvailable download formats
    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    Glider DAC
    Description

    Routine deployments to establish a baseline for oceanographic conditions on the West Florida Shelf to better understand, track, and predict Florida red-time blooms

  3. Global import data of Genie Filter

    • volza.com
    csv
    Updated Mar 22, 2025
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    Volza FZ LLC (2025). Global import data of Genie Filter [Dataset]. https://www.volza.com/p/genie-filter/import/import-in-india/
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    csvAvailable download formats
    Dataset updated
    Mar 22, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

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

    Variables measured
    Count of importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

    148 Global import shipment records of Genie Filter with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  4. s

    India Genie Export Data, List of Genie Exporters in India

    • seair.co.in
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    Seair Exim, India Genie Export Data, List of Genie Exporters in India [Dataset]. https://www.seair.co.in
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset provided by
    Seair Info Solutions PVT LTD
    Authors
    Seair Exim
    Area covered
    India
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  5. Global export data of Genie Filter

    • volza.com
    csv
    Updated Nov 3, 2025
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    Volza FZ LLC (2025). Global export data of Genie Filter [Dataset]. https://www.volza.com/p/genie-filter/export/
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    csvAvailable download formats
    Dataset updated
    Nov 3, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

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

    Variables measured
    Count of exporters, Sum of export value, 2014-01-01/2021-09-30, Count of export shipments
    Description

    563 Global export shipment records of Genie Filter with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  6. n

    SAGE GENIE

    • neuinfo.org
    • scicrunch.org
    Updated Jan 29, 2022
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    (2022). SAGE GENIE [Dataset]. http://identifiers.org/RRID:SCR_000796
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    Dataset updated
    Jan 29, 2022
    Description

    THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 9, 2022. The SAGE Genie website provides highly intuitive, visual displays of human and mouse gene expression, based on a unique analytical process (Boon et al.) that reliably matches SAGE tags, 10 or 17 nucleotides in length, to known genes. Recently, with the construction and incorporation of a reference database of SNP-associated alternative tags into SAGE Genie (Silva et al.), the interpretation of tag to human gene mapping has been enhanced. Human SAGE Genie Tools The SAGE Anatomic Viewer visually displays the relative expression of a given gene in normal and malignant tissues of the human body. In addition, there is access to: o The Digital Northern, which shows the relative expression of the gene in each library. o The Ludwig Transcript (LT) Viewer, which visually represents a particular transcript with up to four possible virtual SAGE tag locations (starting from the 3' end) and locations of internally primed or alternatively polyadenylated transcripts. o Expanded access to brain, hES cells, and breast cell subtypes. * The SAGE Digital Gene Expression Displayer distinguishes significant differences in gene expression profiles between two pools of SAGE libraries. * The SAGE Experimental Viewer provides DGED results for pre-set pairs of libraries, one under control and the other under experimental conditions. * The SAGE Absolute Level Lister lists all SAGE libraries and links to the distribution of transcript expression levels in any given library. * The SAGE Library Finder tool searches for one or more tissue-specific libraries from the SAGE collection. * SAGE Genie Downloads provide files of genes, tags, datasets, mappings, and more. * SAGE Genomics Finder tool searches for genomics info for tags. * DKView tool for viewing Digital Karyotyping data. * DK Microbe tool searches for exact matches of 17 base-pair digital karyotyping tags in bacterial and viral genomes. * SAGE Tag Extraction tool to extract tags from sequence files. Mouse SAGE Genie Tools * The mSAGE Expression Matrix visually displays the relative expression of a given gene through stages of mouse development. In addition, there is access to: o The Digital Northern, which shows the relative expression of the gene in each library. o The Ludwig Transcript (LT) Viewer, which visually represents a particular transcript with up to four possible virtual SAGE tag locations (starting from the 3' end) and locations of internally primed or alternatively polyadenylated transcripts. * The mSAGE Absolute Level Lister lists all mouse SAGE libraries, organized by either tissue (normal or malignant) or developmental stage, and links to the distribution of transcript expression levels in any given library. * The mSAGE Digital Gene Expression Displayer distinguishes significant differences in gene expression profiles between two pools of mouse SAGE libraries. * The mSAGE Experimental Viewer automatically sets up the DGED with mouse libraries, prepared as stand alone experiments, for gene expression comparison. * The mSAGE Library Finder tool searches for one or more tissue-specific mouse libraries from the SAGE collection. * mSAGE Genie Downloads provide files of mouse genes, tags, datasets, mappings, and more. * SAGE Genomics Finder tool searches for genomics info for tags. * SAGE Tag Extraction tool to extract tags from sequence files. Notes: The majority of human libraries are short whereas the majority of mouse libraries are long. Several mouse developmental libraries are prepared by the SAGELite method. SAGELite is an extension of the long Sage protocol that includes a PCR-based amplification stage to allow the use of 10ng to 100ng of total RNA to produce a Sage library. However, it has been observed that a significant bias incurred by this amplification process. SAGE Genie was produced as part of the NCI CGAP SAGE project with collaborators from Johns Hopkins University, the Ludwig Institute for Cancer Research, Sao Paulo Branch, the University of Texas MD Anderson Cancer Center, and the Genome Sciences Center of the BCCRC.

  7. T

    Genie Energy | Renteinntekt

    • no.tradingeconomics.com
    csv, excel, json, xml
    Updated Nov 26, 2022
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    TRADING ECONOMICS (2022). Genie Energy | Renteinntekt [Dataset]. https://no.tradingeconomics.com/gne:us:interest-income
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    csv, xml, json, excelAvailable download formats
    Dataset updated
    Nov 26, 2022
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 2000 - Mar 27, 2025
    Area covered
    United States
    Description

    Genie Energy Renteinntekt - Gjeldende verdier, historiske data, prognoser, statistikk, diagrammer og økonomiske kalender - Mar 2025.Data for Genie Energy | Renteinntekt including historical, tables and charts were last updated by Trading Economics this last March in 2025.

  8. o

    Genie Martin Road Cross Street Data in Jacksons Gap, AL

    • ownerly.com
    Updated Dec 10, 2021
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    Ownerly (2021). Genie Martin Road Cross Street Data in Jacksons Gap, AL [Dataset]. https://www.ownerly.com/al/jacksons-gap/genie-martin-rd-home-details
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    Dataset updated
    Dec 10, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Genie Martin Road, Jackson's Gap, Alabama
    Description

    This dataset provides information about the number of properties, residents, and average property values for Genie Martin Road cross streets in Jacksons Gap, AL.

  9. E

    mote-genie-20170901T1757

    • gliders.ioos.us
    • data.ioos.us
    • +3more
    Updated Sep 1, 2017
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    Jordon Beckler (2017). mote-genie-20170901T1757 [Dataset]. https://gliders.ioos.us/erddap/info/mote-genie-20170901T1757/index.html
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    Dataset updated
    Sep 1, 2017
    Dataset provided by
    Matthew Howard
    Authors
    Jordon Beckler
    Time period covered
    Sep 1, 2017 - Sep 7, 2017
    Area covered
    Variables measured
    u, v, time, depth, lat_uv, lon_uv, wmo_id, density, time_uv, latitude, and 39 more
    Description

    Routine deployments to establish a baseline for oceanographic conditions on the West Florida Shelf to better understand, track, and predict Florida red-time blooms acknowledgment=FWRI/FWC cdm_data_type=TrajectoryProfile cdm_profile_variables=time_uv,lat_uv,lon_uv,u,v,profile_id,time,latitude,longitude cdm_trajectory_variables=trajectory,wmo_id comment=Mote/FWC cooperative red tide program contributor_name=Jordon Beckler,Matthew Howard,Bob Currier contributor_role=Principal Investigator,GCOOS Data Manager,GCOOS Programmer Conventions=Unidata Dataset Discovery v1.0, COARDS, CF-1.6 Easternmost_Easting=-82.8194247234585 featureType=TrajectoryProfile format_version=IOOS_Glider_NetCDF_v2.0.nc geospatial_lat_max=27.247183048168793 geospatial_lat_min=27.048034816956495 geospatial_lat_units=degrees_north geospatial_lon_max=-82.8194247234585 geospatial_lon_min=-83.1740483242263 geospatial_lon_units=degrees_east geospatial_vertical_max=39.20605 geospatial_vertical_min=4.053063 geospatial_vertical_positive=down geospatial_vertical_units=m gts_ingest=true history=This is raw near real-time data.%standard names for qartod flags have changed on 2022-06-30 id=mote-genie_20170901T175729Z infoUrl=https://gliders.ioos.us/erddap/ institution=Mote Marine Lab ioos_dac_checksum=078374fef5548ebc278d15317a49c234 ioos_dac_completed=True ioos_regional_association=GCOOS keywords_vocabulary=GCMD Science Keywords Metadata_Conventions=Unidata Dataset Discovery v1.0, COARDS, CF-1.6 metadata_link=https://mote.org naming_authority=org.mote Northernmost_Northing=27.247183048168793 platform_type=Slocum Glider G2 processing_level=Level 1 Raw no QA/QC project=Mote/FWC cooperative red tide program references=None sea_name=Coastal Waters of Gulf of Mexico source=Observational data from a profiling glider sourceUrl=(local files) Southernmost_Northing=27.048034816956495 standard_name_vocabulary=CF-v27 subsetVariables=wmo_id,trajectory,profile_id,time,latitude,longitude time_coverage_end=2017-09-07T03:56:29Z time_coverage_start=2017-09-01T17:58:25Z Westernmost_Easting=-83.1740483242263

  10. d

    mote-genie-20170901T1757https://data.ioos.us/gliders

    • datadiscoverystudio.org
    opendap v.dap/2.0
    Updated Sep 8, 2017
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    Jordon Beckler; Jordon Beckler; Jordon Beckler; Jordon Beckler (2017). mote-genie-20170901T1757https://data.ioos.us/gliders [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/27fe3c0e4fd3414f81b098ad7a956999/html
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    opendap v.dap/2.0Available download formats
    Dataset updated
    Sep 8, 2017
    Authors
    Jordon Beckler; Jordon Beckler; Jordon Beckler; Jordon Beckler
    Area covered
    Description

    Routine deployments to establish a baseline for oceanographic conditions on the West Florida Shelf to better understand, track, and predict Florida red-time bloomsRoutine deployments to establish a baseline for oceanographic conditions on the West Florida Shelf to better understand, track, and predict Florida red-time bloomsRoutine deployments to establish a baseline for oceanographic conditions on the West Florida Shelf to better understand, track, and predict Florida red-time bloomsRoutine deployments to establish a baseline for oceanographic conditions on the West Florida Shelf to better understand, track, and predict Florida red-time blooms

  11. o

    Genie Court Cross Street Data in Yankeetown, FL

    • ownerly.com
    Updated Dec 9, 2021
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    Ownerly (2021). Genie Court Cross Street Data in Yankeetown, FL [Dataset]. https://www.ownerly.com/fl/yankeetown/genie-ct-home-details
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    Dataset updated
    Dec 9, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Florida, Yankeetown, Genie Court
    Description

    This dataset provides information about the number of properties, residents, and average property values for Genie Court cross streets in Yankeetown, FL.

  12. w

    50 Genie Ai to US Dollar Historical Data

    • weex.com
    Updated Mar 27, 2025
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    50 Genie Ai to US Dollar Historical Data [Dataset]. https://www.weex.com/tokens/genie-ai-live/to-usd/50
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    Dataset updated
    Mar 27, 2025
    Dataset authored and provided by
    WEEX
    License

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

    Area covered
    United States
    Description

    Historical price and volatility data for Genie Ai in US Dollar across different time periods.

  13. d

    WATER TEMPERATURE and other data from GENIE II from 1956-05-01 to 1956-05-03...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Mar 1, 2025
    + more versions
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    (Point of Contact) (2025). WATER TEMPERATURE and other data from GENIE II from 1956-05-01 to 1956-05-03 (NCEI Accession 7600435) [Dataset]. https://catalog.data.gov/dataset/water-temperature-and-other-data-from-genie-ii-from-1956-05-01-to-1956-05-03-ncei-accession-760
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    Dataset updated
    Mar 1, 2025
    Dataset provided by
    (Point of Contact)
    Description

    Data has been processed by NODC to the NODC standard Bathythermograph (MBT) (C128) format. The C128 format is used for temperature-depth profile data obtained using the mechanical bathythermograph (MBT) instrument. The maximum depth of MBT observations is approximately 285 m. Therefore, MBT data are useful only in studying the thermal structure of the upper layers of the ocean. Cruise information, date, position, and time are reported for each observation. The data record comprises pairs of temperature-depth values. Temperature data in this file are recorded at uniform 5 m depth intervals.

  14. S5 and S6 Tables.

    • plos.figshare.com
    • figshare.com
    xlsx
    Updated Sep 6, 2024
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    Chenyi Gao; Mark Iles; Harriet Larvin; David Timothy Bishop; David Bunce; Mark Ide; Fanyiwen Sun; Susan Pavitt; Jianhua Wu; Jing Kang (2024). S5 and S6 Tables. [Dataset]. http://doi.org/10.1371/journal.pone.0306983.s003
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    xlsxAvailable download formats
    Dataset updated
    Sep 6, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Chenyi Gao; Mark Iles; Harriet Larvin; David Timothy Bishop; David Bunce; Mark Ide; Fanyiwen Sun; Susan Pavitt; Jianhua Wu; Jing Kang
    License

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

    Description

    ObjectivesThis study aims to systematically review the existing literature and critically appraise the evidence of genome-wide association studies (GWAS) on periodontitis. This study also aims to synthesise the findings of genetic risk variants of periodontitis from included GWAS.MethodsA systematic search was conducted on PubMed, GWAS Catalog, MEDLINE, GLOBAL HEALTH and EMBASE via Ovid for GWAS on periodontitis. Only studies exploring single-nucleotide polymorphisms(SNPs) associated with periodontitis were eligible for inclusion. The quality of the GWAS was assessed using the Q-genie tool. Information such as study population, ethnicity, genomic data source, phenotypic characteristics(definition of periodontitis), and GWAS methods(quality control, analysis stages) were extracted. SNPs that reached conventional or suggestive GWAS significance level(5e-8 or 5e-06) were extracted and synthesized.ResultsA total of 15 good-quality GWAS on periodontitis were included (Q-genie scores ranged from 38–50). There were huge heterogeneities among studies. There were 11 identified risk SNPs (rs242016, rs242014, rs10491972, rs242002, rs2978951, rs2738058, rs4284742, rs729876, rs149133391, rs1537415, rs12461706) at conventional GWAS significant level (p

  15. I

    mote-genie-20171027T2222

    • data.ioos.us
    • gliders.ioos.us
    • +2more
    erddap +2
    Updated Mar 21, 2025
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    Glider DAC (2025). mote-genie-20171027T2222 [Dataset]. https://data.ioos.us/dataset/mote-genie-20171027t2222
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    opendap, erddap, erddap-tabledapAvailable download formats
    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    Glider DAC
    Description

    Routine deployments to establish a baseline for oceanographic conditions on the West Florida Shelf to better understand, track, and predict Florida red-time blooms

  16. Additional file 4 of Genie: an interactive real-time simulation for teaching...

    • springernature.figshare.com
    txt
    Updated Jun 1, 2023
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    Andreina I. Castillo; Ben H. Roos; Michael S. Rosenberg; Reed A. Cartwright; Melissa A. Wilson (2023). Additional file 4 of Genie: an interactive real-time simulation for teaching genetic drift [Dataset]. http://doi.org/10.6084/m9.figshare.19211659.v1
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    txtAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Andreina I. Castillo; Ben H. Roos; Michael S. Rosenberg; Reed A. Cartwright; Melissa A. Wilson
    License

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

    Description

    Additional file 4. Text file containing demographic data of participants in the BIO345 Genie 2016 class. Data is tabulated by: Participant ID, time (pre- vs post-recitation), reported gender, reported first generation college student status, reported if taken BIO340 at ASU, reported ethnicity, recitation time and TA pair, and recitation score.

  17. E

    IOOS Glider - mote-genie-20190925T1200

    • erddap.sensors.ioos.us
    Updated Oct 3, 2019
    + more versions
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    Bob Currier (2019). IOOS Glider - mote-genie-20190925T1200 [Dataset]. http://erddap.sensors.ioos.us/erddap/info/mote_genie_20190925t1200/index.html
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    Dataset updated
    Oct 3, 2019
    Authors
    Bob Currier
    Time period covered
    Sep 25, 2019 - Oct 3, 2019
    Area covered
    Variables measured
    u, v, time, u_qc, v_qc, depth, lat_uv, lon_uv, wmo_id, density, and 29 more
    Description

    GOMIX cdm_data_type=TrajectoryProfile cdm_profile_variables=profile_id, time, latitude, longitude, time_uv, lat_uv, lon_uv, u, v cdm_trajectory_variables=trajectory, wmo_id comment=GANDALF contributor_name=Steven DiMarco, Karen Dreger, Bob Currier contributor_role=Principal Investigator, Glider Pilot, Data Manager Conventions=Unidata Dataset Discovery v1.0, COARDS, CF-1.6 date_metadata_modified=2018-06-06 deployment=mote-genie-20190925T1200 Easternmost_Easting=-82.71727222716196 featureType=TrajectoryProfile geospatial_bounds=POLYGON ((27.19861536356624 -82.76855998096249, 27.19861536356624 -82.76847804411756, 27.19852118410047 -82.76847804411756, 27.19852118410047 -82.76855998096249, 27.19861536356624 -82.76855998096249)) geospatial_bounds_crs=EPSG:4326 geospatial_bounds_vertical_crs=EPSG:5831 geospatial_lat_max=27.198573954009127 geospatial_lat_min=26.784043826428324 geospatial_lat_resolution=0.00001 degree geospatial_lat_units=degrees_north geospatial_lon_max=-82.71727222716196 geospatial_lon_min=-83.06685324507818 geospatial_lon_resolution=0.00001 degree geospatial_lon_units=degrees_east geospatial_vertical_max=35.35351 geospatial_vertical_min=3.874364 geospatial_vertical_positive=down geospatial_vertical_units=m history=2019-10-03T12:06:42Z: /tmp/tmpkBCX5f/mote-genie-20191003T075440Z-sbd-profileu3DetF.nc created 2019-10-03T12:06:42Z: ./dba_to_ngdac_profile_nc.py /data/gandalf/deployments/mote/mote-genie/processed_data/dba/merged/0000212.dba

    2020-03-23T10:46:56Z (local files) 2020-03-23T10:46:56Z https://gliders.ioos.us/erddap/tabledap/mote-genie-20190925T1200.ncCF id=mote-genie-20190925T1200_e698_69e3_e309 infoUrl=http://data.ioos.us/gliders/erddap/ institution=Texas A&M University, GCOOS-RA instrument=In Situ/Laboratory Instruments > Profilers/Sounders > CTD instrument_vocabulary=NASA/GCMD Instrument Keywords Version 8.5 ioos_dac_checksum=ecd8009ebdb4d109470240e1d0361041 ioos_dac_completed=False ioos_regional_association=GCOOS-RA keywords_vocabulary=GCMD Science Keywords Metadata_Conventions=Unidata Dataset Discovery v1.0, COARDS, CF-1.6 naming_authority=org.gcoos.gandalf ncei_template_version=NCEI_NetCDF_Trajectory_Template_v2.0 Northernmost_Northing=27.198573954009127 platform=In Situ Ocean-based Platforms > AUVS > Autonomous Underwater Vehicles platform_type=Slocum Glider platform_vocabulary=NASA/GCMD Platforms Keywords Version 8.5 processing_level=Level 0 program=GOMIX project=GOMIX sea_name=Gulf of Mexico source=Observational Slocum glider data from source dba file mote-genie-2019-272-1-53-sbd(04480053) sourceUrl=(local files) Southernmost_Northing=26.784043826428324 standard_name_vocabulary=CF Standard Name Table v27 subsetVariables=trajectory, wmo_id, profile_id, time, latitude, longitude, time_uv, lat_uv, lon_uv, u, v time_coverage_duration=PT01M31.67053S time_coverage_end=2019-10-03T07:54:45Z time_coverage_start=2019-09-25T14:03:33Z uuid=c14b0b0f-f142-487d-b06f-616e9ca93d65 Westernmost_Easting=-83.06685324507818

  18. Seair Exim Solutions

    • seair.co.in
    Updated Oct 21, 2018
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    Seair Exim (2018). Seair Exim Solutions [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Oct 21, 2018
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  19. e

    Eximpedia Export Import Trade

    • eximpedia.app
    Updated Jan 17, 2025
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    Seair Exim (2025). Eximpedia Export Import Trade [Dataset]. https://www.eximpedia.app/
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Jan 17, 2025
    Dataset provided by
    Eximpedia PTE LTD
    Eximpedia Export Import Trade Data
    Authors
    Seair Exim
    Area covered
    Mexico, Mauritania, Kyrgyzstan, Jamaica, Peru, Niger, Aruba, South Sudan, Saint Lucia, Zimbabwe
    Description

    Genie Dean Company Export Import Records. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

  20. E

    mote-genie-20210506T1200

    • gliders.ioos.us
    • gcoos5.geos.tamu.edu
    Updated May 11, 2021
    + more versions
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    Bob Currier (2021). mote-genie-20210506T1200 [Dataset]. https://gliders.ioos.us/erddap/info/mote-genie-20210506T1200/index.html
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    Dataset updated
    May 11, 2021
    Dataset authored and provided by
    Bob Currier
    Time period covered
    May 6, 2021 - May 18, 2021
    Area covered
    Variables measured
    u, v, crs, time, depth, lat_uv, lon_uv, wmo_id, density, time_uv, and 41 more
    Description

    GOMIX _NCProperties=version=1|netcdflibversion=4.4.1.1|hdf5libversion=1.8.18 cdm_data_type=TrajectoryProfile cdm_profile_variables=time_uv,lat_uv,lon_uv,u,v,profile_id,time,latitude,longitude cdm_trajectory_variables=trajectory,wmo_id comment=GANDALF contributor_name=Steven DiMarco, Karen Dreger, Bob Currier contributor_role=Principal Investigator, Glider Pilot, Data Manager Conventions=Unidata Dataset Discovery v1.0, COARDS, CF-1.6 date_metadata_modified=2018-06-06 deployment=mote-genie-20210506T1200 Easternmost_Easting=-82.97707148516355 featureType=TrajectoryProfile geospatial_bounds=POLYGON ((27.31338480273275 -83.07005831716386, 27.31338480273275 -83.06967311263652, 27.31322526150135 -83.06967311263652, 27.31322526150135 -83.07005831716386, 27.31338480273275 -83.07005831716386)) geospatial_bounds_crs=EPSG:4326 geospatial_bounds_vertical_crs=EPSG:5831 geospatial_lat_max=27.414179733985257 geospatial_lat_min=27.107689277057812 geospatial_lat_resolution=0.00001 degree geospatial_lat_units=degrees_north geospatial_lon_max=-82.97707148516355 geospatial_lon_min=-83.44611518805542 geospatial_lon_resolution=0.00001 degree geospatial_lon_units=degrees_east geospatial_vertical_max=42.99051 geospatial_vertical_min=4.013361 geospatial_vertical_positive=down geospatial_vertical_units=m gts_ingest=true history=2021-05-11T14:55:07Z: /tmp/tmpPlhsMq/mote-genie-20210511T062015Z-sbd-profilelsIeyE.nc created 2021-05-11T14:55:07Z: ./dba_to_ngdac_profile_nc.py /data/gandalf/deployments/mote/mote-genie/processed_data/dba/merged/0000077.dba

    id=mote-genie-20210506T1200 infoUrl=https://gliders.ioos.us/erddap/ institution=Texas A&M University, GCOOS-RA instrument=In Situ/Laboratory Instruments > Profilers/Sounders > CTD instrument_vocabulary=NASA/GCMD Instrument Keywords Version 8.5 ioos_dac_checksum=1af92a48b3eb1b74d2d9370c79a00481 ioos_dac_completed=True ioos_regional_association=GCOOS-RA keywords_vocabulary=GCMD Science Keywords Metadata_Conventions=Unidata Dataset Discovery v1.0, COARDS, CF-1.6 naming_authority=org.gcoos.gandalf ncei_template_version=NCEI_NetCDF_Trajectory_Template_v2.0 Northernmost_Northing=27.414179733985257 platform=In Situ Ocean-based Platforms > AUVS > Autonomous Underwater Vehicles platform_type=Slocum Glider platform_vocabulary=NASA/GCMD Platforms Keywords Version 8.5 processing_level=Level 0 program=GOMIX project=GOMIX sea_name=Gulf of Mexico source=Observational Slocum glider data from source dba file mote-genie-2021-125-4-78-sbd(01120078) sourceUrl=(local files) Southernmost_Northing=27.107689277057812 standard_name_vocabulary=CF Standard Name Table v27 subsetVariables=wmo_id,trajectory,profile_id,time,latitude,longitude time_coverage_duration=PT03M01.26416S time_coverage_end=2021-05-18T17:16:10Z time_coverage_start=2021-05-06T15:04:09Z uuid=39523c2b-0a04-43f5-9bc7-08757c634e75 Westernmost_Easting=-83.44611518805542

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Seair Exim, Seair Exim Solutions [Dataset]. https://www.seair.co.in
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Seair Exim Solutions

Seair Info Solutions PVT LTD

Used Genie Import Data India, Used Genie Customs Import Shipment Data

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19 scholarly articles cite this dataset (View in Google Scholar)
.bin, .xml, .csv, .xlsAvailable download formats
Dataset provided by
Seair Exim Solutions
Authors
Seair Exim
Area covered
India
Description

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

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