cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25921/5dmt-bf26
title: Trajectory profile data from glider ru39, including pH, Total Alkalinity, and Aragonite Saturation State, deployed by Rutgers, the State University of New Jersey in the Mid-Atlantic Bight from 2024-10-21 to 2024-11-19 (NCEI Accession 0306285)

description: This dataset contains the trajectory profile data from glider ru39 from one seasonal deployment (2024-10-21 to 2024-11-19). This deployment (glider trajectory ru39-20241021T1717) was part of a project to conduct a seasonal baseline survey with a pair of gliders deployed in each season over two years with a full complement of available sensors to simultaneously map oceanographic and ecological variables. This glider was equipped with a coupled CTD/pH sensor, a WETLabs FLBBCD ECO puck configured for chlorophyll fluorescence and optical backscatter measurements, an Acoustic Zooplankton Fish Profiler (AZFP) multi-frequency echo sounder for active acoustic detection of pelagic organisms (transducers configured for fish using 38, 120, and 200 kHz), and a Vemco VMT fish telemetry receiver to track tagged species moving through the region. This deployment out of Sandy Hook, New Jersey ran a zig-zag transect along the coast of New Jersey, in and around current and planned offshore wind lease areas, and ended near Tuckerton, New Jersey. This delayed mode, high-resolution dataset contains CTD and chlorophyll a measurements, as well as pH, total alkalinity, and aragonite saturation state. Salinity, density, pH, TA, and aragonite saturation state have been calculated from raw variables. Acoustically-derived data are processed separately and not included in this package. Contributors: Grace Saba, Josh Kohut, Nicole Waite, David Aragon, Brian Buckingham, Kaycee Coleman, Chip Haldeman, John Kerfoot, Laura Nazzaro, Lori Garzio. This glider was paired with glider deployment ru40-20241021T1654 which can be downloaded at https://slocum-data.marine.rutgers.edu/erddap/index.html
DOI: 10.25921/ewkx-rc68
title: Trajectory profile data from glider ru39, including pH, Total Alkalinity, and Aragonite Saturation State, deployed by Rutgers, the State University of New Jersey in the Mid-Atlantic Bight from 2025-02-26 to 2025-03-28 (NCEI Accession 0306287)

description: This dataset contains the trajectory profile data from glider ru39 from one seasonal deployment (2025-02-26 to 2025-03-28). This deployment (glider trajectory ru39-20250226T1700) was part of a project to conduct a seasonal baseline survey with a pair of gliders deployed in each season over two years with a full complement of available sensors to simultaneously map oceanographic and ecological variables. This glider was equipped with a coupled CTD/pH sensor, a WETLabs FLBBCD ECO puck configured for chlorophyll fluorescence and optical backscatter measurements, an Acoustic Zooplankton Fish Profiler (AZFP) multi-frequency echo sounder for active acoustic detection of pelagic organisms (transducers configured for fish using 38, 120, and 200 kHz), and a Vemco VMT fish telemetry receiver to track tagged species moving through the region. This deployment out of Sandy Hook, New Jersey ran a zig-zag transect along the coast of New Jersey, in and around current and planned offshore wind lease areas, and ended near Tuckerton, New Jersey. This delayed mode, high-resolution dataset contains CTD and chlorophyll a measurements, as well as pH, total alkalinity, and aragonite saturation state. Salinity, density, pH, TA, and aragonite saturation state have been calculated from raw variables. Acoustically-derived data are processed separately and not included in this package. Contributors: Grace Saba, Josh Kohut, Nicole Waite, David Aragon, Brian Buckingham, Kaycee Coleman, Chip Haldeman, John Kerfoot, Laura Nazzaro, Lori Garzio. This glider was paired with glider deployment ru40-20250226T1704 which can be downloaded at https://slocum-data.marine.rutgers.edu/erddap/index.html
DOI: 10.25921/0t11-cx29
title: Trajectory profile data from glider ru39, including pH, Total Alkalinity, and Aragonite Saturation State, deployed by Rutgers, the State University of New Jersey in the Mid-Atlantic Bight from 2023-11-03 to 2023-12-05 (NCEI Accession 0306288)

description: This dataset contains the trajectory profile data from glider ru39 from one seasonal deployment (2023-11-03 to 2023-12-05). This deployment (glider trajectory ru39-20231103T1413) was part of a project to conduct a seasonal baseline survey with a pair of gliders deployed in each season over two years with a full complement of available sensors to simultaneously map oceanographic and ecological variables. This glider was equipped with a coupled CTD/pH sensor, a WETLabs FLBBCD ECO puck configured for chlorophyll fluorescence and optical backscatter measurements, an Acoustic Zooplankton Fish Profiler (AZFP) multi-frequency echo sounder for active acoustic detection of pelagic organisms (transducers configured for zooplankton using 120, 200, 455 and 769 kHz), and a Vemco VMT fish telemetry receiver to track tagged species moving through the region. This deployment out of Sandy Hook, New Jersey ran a zig-zag transect along the coast of New Jersey, in and around current and planned offshore wind lease areas, and ended near Tuckerton, New Jersey. This delayed mode, high-resolution dataset contains CTD and chlorophyll a measurements, as well as pH, total alkalinity, and aragonite saturation state. Salinity, density, pH, TA, and aragonite saturation state have been calculated from raw variables. Acoustically-derived data are processed separately and not included in this package. Contributors: Grace Saba, Josh Kohut, Nicole Waite, David Aragon, Brian Buckingham, Kaycee Coleman, Chip Haldeman, John Kerfoot, Laura Nazzaro, Lori Garzio. This glider was paired with glider deployments ru40-20231103T1421 and ru40-20231115T1612 which can be downloaded at https://slocum-data.marine.rutgers.edu/erddap/index.html
DOI: 10.25921/wbz4-mx57
title: Trajectory profile data from glider ru39, including pH, Total Alkalinity, and Aragonite Saturation State, deployed by Rutgers, the State University of New Jersey in the Mid-Atlantic Bight from 2024-02-15 to 2024-03-14 (NCEI Accession 0306290)

description: This dataset contains the trajectory profile data from glider ru39 from one seasonal deployment (2024-02-15 to 2024-03-24). This deployment (glider trajectory ru39-20240215T1646) was part of a project to conduct a seasonal baseline survey with a pair of gliders deployed in each season over two years with a full complement of available sensors to simultaneously map oceanographic and ecological variables. This glider was equipped with a coupled CTD/pH sensor, a WETLabs FLBBCD ECO puck configured for chlorophyll fluorescence and optical backscatter measurements, an Acoustic Zooplankton Fish Profiler (AZFP) multi-frequency echo sounder for active acoustic detection of pelagic organisms (transducers configured for zooplankton using 120, 200, 455 and 769 kHz), and a Vemco VMT fish telemetry receiver to track tagged species moving through the region. This deployment out of Sandy Hook, New Jersey ran a zig-zag transect along the coast of New Jersey, in and around current and planned offshore wind lease areas, and ended near Tuckerton, New Jersey. This delayed mode, high-resolution dataset contains CTD and chlorophyll a measurements, as well as pH, total alkalinity, and aragonite saturation state. Salinity, density, pH, TA, and aragonite saturation state have been calculated from raw variables. Acoustically-derived data are processed separately and not included in this package. Contributors: Grace Saba, Josh Kohut, Nicole Waite, David Aragon, Brian Buckingham, Kaycee Coleman, Chip Haldeman, John Kerfoot, Laura Nazzaro, Lori Garzio. This glider was paired with glider deployment ru40-20240215T1642 which can be downloaded at https://slocum-data.marine.rutgers.edu/erddap/index.html
DOI: 10.25921/v8gj-k896
title: The NOAA NCEI Global Marine Microplastics Harmonized Database during 1972-04-20 to present (NCEI Accession 0306475)

description: This database contains a harmonized subset of variables from the NOAA NCEI Marine Microplastics collection, which is used to generate the accompanying ArcGIS map. It includes microplastic concentration data (i.e., plastics measuring less than 5 mm; units of pieces/m3 for microplastics in water and beach, pieces/kg d.w. for microplastics in sediment, and pieces/ 10 mins for nurdles) in ocean water, sediments, beach and Nurdle Patrol from across the globe during 1972-04-20 to present. The dataset contains information on date of collection, latitude and longitude where data was collected, sampling instruments used for collection, mesh size, microplastic concentration class range, and links to publications on the data. It is updated on a Federal quarterly schedule.
DOI: 10.25921/hztq-fs73
title: NCCOS Mapping: Collaborative Benthic Habitat Mapping in the Nearshore Waters of the Great Lakes Basin – Data collection sites during cruise GL-23-01 at Madeline Island, Lake Superior from 2023-06-20 to 2023-08-04 (NCEI Accession 0306497)

description: This dataset includes data collection locations associated with sites sampled around Madeline Island and Gull Island shoals, Lake Superior, as part of cruise GL-23-01. Data was collected at sites by a Drop Camera, a Remotely Operated Vehicle (ROV) and/or a Ponar sediment sampler. This dataset includes supplementary data used in planning the collection, including the planned sampling sites and environmental covariates used in sampling site allocation; including, but not limited to, latitude and longitude coordinates at each sample site, maximum sampling depth in meters and duration time of bottom sample.

This dataset identifies the location of collection sites and supplementary data such as maximum sampling depth in meters and bottom times. The dataset includes collection locations referenced by Menza et al. (2024).
DOI: 10.25921/wq5f-6k66
title: Biological response variables of hemolymph (cell viability, mtROS, and mitochondrial membrane potential) and dissolved inorganic carbon, pH, alkalinity, temperature, salinity, and collected from laboratory experiments for the research project (OAP-Research Organization Registry 02bfn4816) grant # 21268) for adult bay scallop, Argopecten irradians from 2023-05-02 to 2023-05-16 (NCEI Accession 0306498)

description: This dataset contains the discrete data on a laboratory experiment of bay scallop, Argopecten irradians, and adult response to ocean acidification in hemolymph. The F1 experiment was conducted from May 2, 2023 till May 16, 2023 at the NOAA Milford laboratory. All treatment levels had a replication of 3 per OA treatment. The experiment was designed to yield a reaction norm framework by exposing scallop groups, with respect to their history of OA conditions, to each treatment. This effort was conducted in support of the research objectives of the NOAA Ocean Acidification Program (OAP).
DOI: 10.25921/1e3k-9922
title: Water quality surveys in Culebra: comprehensive assessment of inorganic nutrient concentrations 2023-05-03 to 2024-05-21 (NCEI Accession 0306499)

description: This record describes water quality inorganic nutrient concentration metrics collected monthly between May 2023 to May 2024 to provide reference data of nearshore and watershed water quality on the island of Culebra, Puerto Rico. The water quality monitoring was conducted at 18 fixed stations. Five stations were selected to quantify Land Based Sources of Pollution (LBSP) stressor loads at key point and non-point sources in the Cabra, Coronel, and Aeropuerto watersheds. Levels of LBSP exposure were measured at 13 nearshore stations co-located with long-term seagrass monitoring sites. Nearshore monitoring sites were selected to identify watershed discharge points, coastal hydrodynamics, as well as the existing level of LBSP exposure and anticipated changes to LBSP exposure due to management actions. Nearshore monitoring stations were designated based on their land based sources of pollution management implementation status (LBSP Treatment Group), as follows: 1) LBSP Restoration stations: Located downstream where land-based pollutant management has or is being implemented. 2) LBSP Control stations: Represent a range of land-based pollutant impairments, including sites with no LBSP management, no known direct discharge of LBSP but are representative of the range of external factors that may be encountered at the LBSP Restoration stations. 3) Negative Reference stations of know significant -anecdotal and quantified- LBSP impairment. 4) Positive Reference stations of low LBSP impairment. Nearshore water quality samples were collected at two depths: surface (10-25 cm ) and bottom (2 m deep). Watershed water quality samples were collected only at surface.

Water quality inorganic nutrient concentration metrics include: Nitrite, nitrate, ammonium, total nitrogen, orthophosphate, total phosphorus, and silica. The research questions, survey design and monitoring localities were specific to this study and the associated water quality data is unsuitable in a regulatory framework.

The data presented herein was collected with financial support from NOAA Restoration Center and NOAA Coral Reef Conservation Program, and the National Fish and Wildlife Foundation (NFWF).
DOI: 10.25921/jhmg-5s64
title: NCCOS Assessment: Long-term monitoring of Living Shoreline Sill, Vegetation, and SET data in Pine Knoll Shores, NC, 2004-10-22 to 2025-04-23 (NCEI Accession 0306500)

description: This dataset contains long-term monitoring data collected at the Pine Knoll Shores Sill as part of a larger effort to monitor local fringing marshes in Carteret County. The monitoring data is stored in four .csv files, one .tif file, one .aux file, and two pdfs. The .csv files contain vegetative community and SET data. The .tif file consists of an ortho mosaic image, captured using a Mavic 3M drone, in 2025. The .aux file and SiteReport.pdf are files associated with the ortho mosaic. The routine vegetation surveys were conducted starting in 2008 to monitor change in the vegetative community composition and total cover at fixed plots. Prior to the vegetation surveys, four surface elevation tables (SETs) were installed in 2004 and elevation changes over time were tracked with millimeter scale resolution. More information on this site can be found here: https://arcg.is/1PufHu3
DOI: 10.25921/za0e-7365
title: NCCOS Assessment: Chemical contaminants in the sediments in the St. Croix East End Marine Park (STXEEMP): Organic and inorganic chemical contaminants in sediments from STXEEMP, St. Croix, 2021-03-11 to 2021-06-04 (NCEI Accession 0306532)

description: This dataset contains results from the analysis of sediments for chemical contaminants including organic contaminants like hydrocarbons and pesticides, and inorganic contaminants like metals, along with an assessment of the benthic infaunal community in the St. Croix East End Marine Park (STXEEMP), St. Croix. The data is contained in a series of tables in a .CSV format.
DOI: 10.25921/x5nm-cy35
title: Weather, Ocean, and Tuna biomass time-series from 2005-2019 in the Western Indian Ocean (WIO) region (NCEI Accession 0306675)

description: This dataset contains spatial and temporal data used to analyze and project the distribution of skipjack tuna (Katsuwonus pelamis) in the Western Indian Ocean under varying climate change scenarios. Historical catch data (2005–2019) were obtained from the Indian Ocean Tuna Commission (IOTC), and environmental variables were sourced from the Copernicus Marine Service (MyOcean). Variables include sea surface temperature (SST), sea surface salinity (SSS), mixed layer depth (MLD), sea surface height (SSH), net primary productivity (NPP), chlorophyll-a concentration (CHL), as well as geographic coordinates and month. A Generalized Additive Model (GAM) framework with k-fold cross-validation was applied to determine the key drivers of skipjack tuna distribution during the historical period. Two text files contain the catch and environmental data time series that were compiled and used to create the 3 JPEGs provided. References to datasets and methods are provided in the reference section.
DOI: 10.25921/a782-8g03
title: Quantification of epiphyte biomass accumulation on artificial seagrass leaves in Culebra, Puerto Rico, from surveys conducted from 2023-08-07 to 2024-02-05 (NCEI Accession 0306699)

description: This record provides estimates of epiphyte biomass accumulation (mg/cm2/day) on artificial seagrass leaves at 13 monitoring stations in Ensenada Honda and Puerto Manglar in the island of Culebra, Puerto Rico.
DOI: 10.25921/j07c-hf67
title: Water temperature, salinity, dissolved oxygen, and other measurements taken by CTD from NOAA Ship Oregon II in the Gulf of America from 2025-06-04 to 2025-07-13 as part of the Southeast Area Monitoring and Assessment Program (SEAMAP) (NCEI Accession 0306880)

description: This dataset consists of profile data collected by CTD casts from 2025-06-04 to 2025-07-13 in the Gulf of America (formerly Gulf of Mexico) that are collected as part of the annual summer groundfish survey supported by the Southeast Area Monitoring and Assessment Program (SEAMAP). SEAMAP is a State/Federal/university program for collection, management and dissemination of fishery-independent data and information in the southeastern United States. Data are in Sea-Bird CNV format.
DOI: 10.25921/9cax-5c15
title: Conductivity-Temperature-Depth profile data taken by CTD from the RSS Discovery on the Scotian Shelf and in Gulf of Maine during the Maritimes Region Atlantic Zone Monitoring Program (AZMP) 2024 fall survey, October 4 to 22, 2024 (NCEI Accession 0306884)

description: Dataset consists of netCDF files of downcast CTD data collected at 71 CTD stations. This cruise is U.S. State Department MSR U2024-005 as part of the World Data Service for Oceanography. Data are in NetCDF.
DOI: 10.25921/6zfb-gy82
title: PlanetScope satellite, LiDAR, and ground-truth data over barrier islands in Volusia County, Flagler County, St. Johns County, Florida (pre-, in between, and post Hurricanes Ian and Nicole, 2022) (NCEI Accession 0307118)

description: This dataset contains environmental and remote sensing data used to assess dune vegetation and morphology changes along Florida’s central east coast in response to Hurricane Ian (September 2022) and Nicole (November 2022). The study area extends from Ponce Inlet in Volusia County to St. Augustine Inlet in St. Johns County, Florida.

The dataset is composed of three components:
1. Monthly precipitation: In situ precipitation totals (inches) for Volusia County, Florida. Data were collected using standard rain gauges and obtained from the National Center for Environmental Information (NCEI).
2. NDVI Transects: Normalized Difference Vegetation Index (NDVI) values derived from PlanetScope multispectral imagery (3 m resolution) for five time periods: December 2021, March 2022, October 2022, December 2022, and December 2023. NDVI was calculated using the red and near-infrared bands, and transect points were extracted in ArcGIS Pro for natural and armored shoreline features, including sand in front of the foredune, vegetated edge of the dune, and dune vegetation.
3. Average NDVI-LiDAR by Shoreline: Mean NDVI values from PlanetScope imagery combined with elevation data (meters) from airborne LiDAR surveys (2018 pre-storm and 2022 post-storm). Data area aggregated by six dune transect categories to evaluate structural and vegetive changes.
The compiled dataset provides a spatially reference record of pre- and post-hurricane conditions of the Florida’s barrier island damaged from the 2022 hurricanes
DOI: 10.25921/jgrz-v584
title: SalishCruiseDataPackage_v2025: An updated compiled data package of sensor profile and discrete physical and biogeochemical measurements from 61 individual cruise data sets collected from a variety of ships in the southern Salish Sea and northern California Current System (Washington state marine waters) from 2008-02-04 to 2024-10-22 (NCEI Accession 0307188)

description: This NCEI Accession contains the compiled cruise data product consisting of 61 individual cruise data sets collected in Washington state marine waters from a variety of research vessels from 2008-02-04 to 2024-10-22. Water-column time-series stations were occupied in the Salish Sea and adjoining northern California Current System coastal waters in Washington State. Each cruise was designed to obtain a synoptic or targeted snapshot of key carbon, physical, and other biogeochemical parameters as they relate to ocean acidification (OA) in Washington's estuarine and/or coastal environments. Two predominant subsets of sampling stations were occupied: 1) Puget Sound stations, wherein all basins within the sound and across the sill at its inlet are sampled, and have recurred regularly in April, July, and September since 2014; and 2) “Sound-to-Sea” cruises, associated with servicing the Ćháʔba· ocean acidification mooring off La Push, Washington, and including sampling at a suite of CTD stations located between Seattle and the mooring site off the coast, occurring most frequently in May and October. At all sampling stations, CTD casts were conducted to measure temperature, conductivity, pressure, and oxygen concentrations using CTD and oxygen sensors. Discrete water samples were collected throughout the water column at all stations in Niskin bottles. Laboratory analyses were run to measure dissolved inorganic carbon (DIC), oxygen, and nutrient concentrations and total alkalinity. More information--including a map of stations occupied during each 2008–2024 cruise (and other Salish cruises), full-resolution CTD downcast data for all stations sampled, chlorophyll and phaeopigment concentrations, and other sensor data--can be found at nvs.nanoos.org/CruiseSalish by exploring the Map, Data, and Plots tabs. For the 26 new data sets from 2019–2024 seasonal cruises in April, July, and September, single-cruise data sets were not individually submitted to NCEI but are included in this data package and can also be accessed individually at the NANOOS CruiseSalish link. This effort was conducted in support of the estuarine and coastal monitoring and research objectives of the University of Washington Puget Sound Regional Synthesis Model (PRISM), the Washington Ocean Acidification Center (WOAC), the Northwest Association of Networked Ocean Observing Systems, the U.S. National Oceanic and Atmospheric Administration's Pacific Marine Environmental Laboratory's Carbon Group, and the U.S. National Oceanic and Atmospheric Administration's Ocean Acidification Program and conforms to climate-quality monitoring guidelines of the Global Ocean Acidification Observing Network (goa-on.org).
DOI: 10.25921/n6va-0b18
title: Tropical Storm Wind Speed, Current Intensity Number, and other tropical storm related variables from the Advanced Dvorak Technique Hurricane Satellite (ADT-HURSAT) globally from May 30 1978 to December 31 2024 (NCEI Accession 0307249)

description: The ADT-HURSAT dataset is a climatology of tropical cyclone intensity estimates. This dataset applies the Advanced Dvorak Technique (ADT) to Hurricane Satellite (HURSAT) data, producing a record of climate quality storm intensity estimates from 1979 through 2024. The HURSAT dataset used in ADT-HURSAT is derived from the International Satellite Cloud Climatology Project (ISCCP) B1 data, with storms initially identified and given storm ids by the International Best Track Archive for Climate Stewardship (IBTrACS), and is homogeneous over the period of record. The ADT is a computer based algorithm for determining tropical cyclone intensity from satellite imagery, developed at University of Wisconsin-Madison/Cooperative Institute for Meteorological Satellite Studies (UW/CIMSS). The algorithm uses objective techniques to determine the initial storm center and derives the intensity from a regression-based scheme based on the Dvorak technique, throughout the tropical cyclone (TC) lifecycle.
The HURSAT history files were created using HURSAT Version 07b netCDF files and IBTrACS v04r01. The ADT-Version 9.0 was employed to derive the intensity estimates in this data set.