IEEE Dataport

## Overview

IEEE Dataport is a dataset for object detection tasks - it contains Tomato annotations for 860 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).

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The datasets were originally crawled from the Meetup.com by authors of this work[1]. It consists of two part:

Form N-PORT is to be used by a registered management investment company, or an exchange-traded fund organized as a unit investment trust, or series thereof (“Fund”), other than a Fund that is regulated as a money market fund (“money market fund”) under rule 2a-7 under the Investment Company Act of 1940 15 U.S.C. 80a (17 CFR 270.2a-7) or a small business investment company (“SBIC”) registered on Form N-5 (17 CFR 239.24 and 274.5), to file reports of monthly portfolio holdings pursuant to rule 30b1-9 under the Act (17 CFR 270.30b1-9).

Homeland Infrastructure Foundation-Level Data (HIFLD) geospatial data sets containing information on Major US Port Facilities.

HazeRD

Port of Los Angeles - Historic Tonage Data MMRT

GCOOS 52North Sensor Observation Service This station provides the following variables: Air pressure, Air temperature, Sea surface height above sea level, Sea water temperature, Wind speed, Wind speed of gust, Wind to direction

2021.

Maryland Port Administration General Cargo Monthly Data for the MPA's public terminals (Souce: Internal MPA data)

United States The Port of Long Beach: Container Trade: Loaded Inbound data was reported at 364,084.000 TEU in Oct 2018. This records an increase from the previous number of 357,301.000 TEU for Sep 2018. United States The Port of Long Beach: Container Trade: Loaded Inbound data is updated monthly, averaging 242,677.500 TEU from Jan 1995 (Median) to Oct 2018, with 286 observations. The data reached an all-time high of 384,095.000 TEU in Jun 2018 and a record low of 94,125.000 TEU in Mar 1995. United States The Port of Long Beach: Container Trade: Loaded Inbound data remains active status in CEIC and is reported by Port of Long Beach. The data is categorized under Global Database’s United States – Table US.TA027: Container Trade: The Port of Long Beach.

These data were automated to provide an accurate high-resolution historical shoreline of Port Orford, Oregon suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

Port Calls: Operation: Unloaded: Jakarta: Wet Bulk data was reported at 1.000 Unit in 17 May 2025. This stayed constant from the previous number of 1.000 Unit for 16 May 2025. Port Calls: Operation: Unloaded: Jakarta: Wet Bulk data is updated daily, averaging 1.000 Unit from Jan 2018 (Median) to 17 May 2025, with 2689 observations. The data reached an all-time high of 6.000 Unit in 28 Oct 2022 and a record low of 0.000 Unit in 14 May 2025. Port Calls: Operation: Unloaded: Jakarta: Wet Bulk data remains active status in CEIC and is reported by Marine Traffic. The data is categorized under Global Database’s Indonesia – Table ID.MT.PCL: Port Calls.

With the goal of improving machine learning approaches in inverse scattering

IOOS Sensor Observation Service (SOS) Server for NANOOS, the Northwest Association of Networked Ocean Observing Systems (http://nanoos.org). Provides access to marine in-situ observation data for the US Pacific Northwest and lower British Columbia, from the NANOOS asset data store harvested and integrated by NVS (NANOOS Visualization System, http://nvs.nanoos.org). To avoid data duplication, currently only assets not otherwise available to the IOOS Catalog (http://catalog.ioos.us) are accessible through this SOS server; for example, assets from most federal agencies are not accessible on this server, but they are available on the NVS application. This NANOOS service is run by the 52North IOOS SOS server software, and complies with the IOOS SOS "Milestone 1" service profile (https://code.google.com/p/ioostech/wiki/SOSGuidelines). This station provides the following variables: H1 redoxpot, H5 turbidity, Fractional saturation of oxygen in sea water, Mass concentration of chlorophyll in sea water, Mass concentration of oxygen in sea water, Sea water ph reported on total scale, Sea water salinity, Sea water temperature

United States Port Congestion: Number of Vessels: Loop: All data was reported at 2.000 Unit in 05 May 2025. This records an increase from the previous number of 1.000 Unit for 28 Apr 2025. United States Port Congestion: Number of Vessels: Loop: All data is updated weekly, averaging 2.000 Unit from Feb 2022 (Median) to 05 May 2025, with 143 observations. The data reached an all-time high of 5.000 Unit in 24 Jun 2024 and a record low of 1.000 Unit in 28 Apr 2025. United States Port Congestion: Number of Vessels: Loop: All data remains active status in CEIC and is reported by Marine Traffic. The data is categorized under Global Database’s United States – Table US.MT.PCN: Port Congestion: Number of Vessels: by Port and Vessel Type.

These data provide an accurate high-resolution shoreline compiled from imagery of PORT OF GALVESTON, TEXAS . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

e.g.

Detailed information about the IP Maintainer DE-DATAPORT-1-MNT.