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62 results for “underway”
Abundance and biovolume of taxonomically-resolved phytoplankton and microzooplankton imaged continuously underway with an Imaging FlowCytobot along the NES-LTER Transect in winter 2018
These data represent the abundance and biovolume of taxonomically-resolved phytoplankton and microzooplankton imaged continuously underway along the NES-LTER Transect during cruise EN608 in winter 2018. Images were obtained with an Imaging FlowCytobot (IFCB) sampling at approximately 20-min intervals from seawater supplied from 5 meters water depth. Data are provided for the subset of images during the cruise that were on the north-south transect along longitude 70 53’ W. Sizes for individuals were determined automatically by image processing, while identifications to morphological categories were done manually. Data are provided by taxon with names and machine-readable identifiers matched to the lowest taxonomic level to the World Register of Marine Species. Two data tables are provided: the level 1b for each occurrence and the level 2 that summarizes the occurrences by taxon per sample. Individual and sample identifiers are linked to images served by an external repository. This data package provides 144,281 machine-readable occurrences for incorporation into the Ocean Biogeographic Information System and the Global Ocean Observing System Essential Ocean Variables Phytoplankton biomass and diversity and the microplankton size class of Zooplankton biomass and diversity.
Discrete flow cytometry of underway samples from the Gradients 2019 cruise using a BD Influx Cell Sorter
<p>The dataset consists of BD Influx-based analysis of phytoplankton populations from discrete flow cytometry data collected underway during the Gradients 2019 (Gradients 3/KM1906) oceanographic research cruise in the Northeast Pacific Ocean. The analysis includes cell abundance, forward light scatter, and pigment fluorescence of individual cells, including picoeukaryotes and the cyanobacteria Prochlorococcus and Synechococcus. Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: https://github.com/fribalet/FCSplankton</p>
NEXUS file describing the taxonomic relationships of the 466 species for which genome sequencing was underway at Tree of Life, Wellcome Sanger Institute, at 31 December 2020
<p>This NEXUS file shows the taxonomic relationships of 466 species of eukaryote. The taxonomy derives from the NCBI TaxonomyDB. The species are those for which genome sequencing is underway at the Tree of Life programme, Wellcome Sanger Institute, as of 31st Decemnber 2020. The NEXUS file includes a figtree block generated in FigTree [<strong><a href="https://github.com/rambaut/figtree">https://github.com/rambaut/figtree</a>] </strong>that informs display of the data as a circular tree with species coloured by taxonomic Family, and Families with more than one species represented as triangles. The figure is used in publications and presentations describing the activities of the Tree of Life programme and the projects in which Tree of Life is involved, especially the Darwin Tree of Life project [https://darwintreeoflife.org].</p>
Discrete Flow Cytometry of Underway Samples from TN427 Using a BD Influx Cell Sorter
<p>The dataset consists of BD Influx-based analysis of phytoplankton populations from discrete flow cytometry data collected underway during the University of Washington School of Oceanography 2024 undergraduate senior thesis research cruise (TN427) from American Samoa. The data consists of cell abundance, cell size (equivalent spherical diameter), carbon quota, and carbon biomass for picophytoplankton populations, namely the cyanobacteria Prochlorococcus and Synechococcus, and small eukaryotic phytoplankton (<5 μm ESD). Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: [https://github.com/fribalet/FCSplankton](https://github.com/fribalet/FCSplankton)</p>
fCO2 underway measurements during Mission Microbiomes aboard SV Tara
<p>This dataset compiles underway fugacity of CO₂ measurements collected during Legs 5, 6, 7, 8, and 9 of the <em>Mission Microbiomes AtlantECO</em> aboard the sailing vessel <em>Tara</em>.</p> <p>The dataset spans from August 2021, starting in Martinique (France), to late November 2021 at the Brazil-Uruguay border.</p> <p>It includes time and location of measurement, sea surface temperature, sea surface salinity, 10 m wind speed, bottom depth, equilibrator temperature, atmospheric pressure, molar fraction of CO₂ in seawater, partial pressure of CO₂ in seawater, and fugacity of CO₂ in seawater.</p> <p>This dataset has been submitted to the 2025 SOCAT release and is accompanied by the paper <em>'Exploring the CO₂ fugacity along the east coast of South America aboard the schooner Tara'</em>, submitted to <em>ESSD</em> by Olivier et al.</p> <p>Additionally, the dataset includes a metadata file (<em>Metadata_TaraMicrobiomes_ATLANTECO.xlsx</em>), formatted according to SOCAT submission requirements, providing further details specific to this dataset.</p> <p>The data is available in two open-access formats: CSV and NetCDF</p>
KM1906 Underway Thermosalinograph Data
<p>Near-surface temperature and salinity data for Gradients 3 (April 9th – 29th, 2019) were acquired through the use of a thermosalinograph (THSL) system aboard the research vessel R/V Kilo Moana. Data were acquired every second and water samples were taken over the duration of the cruise for calibration of the THSL conductivity cell. Navigation data (latitude, longitude, and ships speed) were recorded throughout the cruise every ten seconds. The THSL data were interpolated at the navigation data times.</p>
TN397 Underway Thermosalinograph Data
<p>Near-surface temperature and salinity data for the Gradients 4 cruise (November 18th – December 15, 2021) were acquired through the use of a thermosalinograph (THSL) system aboard the research vessel R/V Thompson. Data were acquired every second. </p>
Discrete Flow Cytometry of Underway Samples from Gradients 4 (2021) Using a BD Influx Cell Sorter
<p>The dataset consists of BD Influx-based analysis of phytoplankton populations from discrete flow cytometry data collected underway during the Gradients 2021 (Gradients 4/TN397) oceanographic research cruise in the equatorial Pacific Ocean. The analysis includes cell abundance, forward light scatter, and pigment fluorescence of individual cells, including picoeukaryotes and the cyanobacteria Prochlorococcus and Synechococcus. The analysis also includes estimates of cell size, carbon content, and biomass using forward light scatter values and Mie Theory. Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: https://github.com/fribalet/FCSplankton</p>
Discrete Flow Cytometry of Underway Samples from TN398 Using a BD Influx Cell Sorter
<p>The dataset consists of BD Influx-based analysis of picophytoplankton populations from discrete flow cytometry data collected underway during the University of Washington School of Oceanography undergraduate senior thesis cruise (TN398) during December 2021 from Honolulu to San Diego, crossing through the Great Pacific Garbage Patch. The data includes cell abundance, cell size (equivalent spherical diameter), carbon quota, and carbon biomass for picophytoplankton populations, namely the cyanobacteria Prochlorococcus, Synechococcus, and and small eukaryotic phytoplankton (<5 μm ESD). Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: https://github.com/fribalet/FCSplankton</p>
Discrete Flow Cytometry of Underway Samples From TN428 Using a BD Influx Cell Sorter
<p>The dataset consists of BD Influx-based analysis of phytoplankton populations from discrete flow cytometry data collected underway during a transit cruise (TN428) from American Samoa to Australia. The data consists of cell abundance, cell size (equivalent spherical diameter), carbon quota, and carbon biomass for picophytoplankton populations, namely the cyanobacteria Prochlorococcus, Synechococcus and Crocosphaera, and small eukaryotic phytoplankton (<5 μm ESD). Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: [https://github.com/fribalet/FCSplankton](https://github.com/fribalet/FCSplankton)</p>
AMT29 optical underway properties and estimates of chlorophyll-a concentration
<p>Dataset of inherent optical properties determined as described in https://doi.org/10.5194/essd-2024-267 and https://doi.org/10.1364/OE.25.0A1079</p>
Gradients 3 Underway Optics
<p>Cruise Name: KM1906, Gradients 3.0.<br> <br> Project: Simons Foundation - Gradients NPSG<br> <br> A Wetlabs AC-S and ECO Triplet were plumbed to the underway uncontaminated seawater on the R/V KM. Data for each instrument were averaged to the minute. For the first 10 min of every hour, incoming seawater was passed through a 0.2 µm filter (Graver ZTEC G series with Teflon O-rings) in order to collect dissolved ‘blanks’ that were subsequently used to correct whole water signals collected in the succeeding 50 min of each hour. Filtered values were linearly interpolated throughout the cruise and subtracted from raw measurements to provide corrected chlorophyll fluorescence (volts), the particulate volume scattering function at 117 degrees (β, m-1 sr-1), spectral particulate beam attenuation at 83 wavelengths (cp(λ), m-1), and spectral particulate absorption at 83 wavelengths (ap(λ), m-1).<br> <br> Chlorophyll fluorescence (Flchl) was calibrated to discrete extracted chlorophyll measurements collected at nighttime. Particulate β values were converted to the particulate backscattering coefficient (bbp, m-1), following Boss and Pegau (2001) [bbp = 2𝜋𝜒p𝛽p] where 𝜒p is 1.1 for 117°. Particulate absorption was then corrected for residual temperature and scattering after Slade et al. (2010). The dissolved component of absorption (ag(λ), m-1) was calculated from filtered measurements using a pure freshwater blank and temperature and salinity corrected according to Slade et al. (2010). AC-S-derived chlorophyll a concentrations (Chla676) were estimated from the particulate absorption coefficients using the line-height method (Davis et al., 1997) assuming a chlorophyll specific absorption coefficient of 0.01178 m2 mg-1.<br> <br> Plankton abundance and carbon content was measured by a combination of continuous flow cytometry via SeaFlow which measures auto-fluorescing particles ranging in size from ~0.4 to ~6 μm as well as an Imaging FlowCytobot (IFCB) with imaging of 4-100 mm particles triggered on both scattering and fluorescence. For the IFCB data, particulate cell diameter was converted to carbon biovolume using allometric scaling (Menden-Deuer and Lessard, 2000) whereas the forward light scattering-biovolume relationship from Ribalet et al. (2019) was used to convert SeaFlow scattering per cell to carbon biovolume. Additional details of data processing are described in Juranek et al. (2020).<br> <br> Measurements of surface planar photosynthetically active radiation (PAR) were made using a LICOR quantum cosine collector (400-700 nm) and data logger (models LI-190R and LI-1500, respectively). The sensor was positioned 4 meters above the deck to minimize the influence of shadows from the ship’s superstructure. Spectrally integrated irradiance was logged throughout the day and averaged in 1 min intervals. The diffuse attenuation coefficient for PAR, KPAR, was calculated according to methods described in Wei and Lee (2013), which calculates the average daily KPAR as a function of the sun angle at local solar noon, the total absorption coefficient at 490 nm, and the total backscattering coefficient at 490 nm.</p>
Discrete surface turbidity samples and underway sea surface temperature and sea surface salinity measured in Aarhus Bay during a demonstration of an experimental autonomous surface vehicle
<p>This dataset includes measurements obtained by an autonomous boat that was equipped with a surface water sampling system: the Naval Operating Research Drone Assessing Climate Change (NORDACC). </p> <p>This dataset includes two .csv files</p> <p><br> 2022-10-14_NORDACC_Turbidity.csv<br> This file contains the results of 8 discrete surface water samples that were analyzed for turbidity using a Hach turbidimeter. Surface water samples were acquired by NORDACC on the afternoon of 14 October 2022 in Aarhus Bay. The columns are separated by commas and correspond to: <br> Sample Number, Date (yyyy-mm-dd), UTC time (HH:MM:SS), Longitude (decimal degrees), Latitude (decimal degrees), Sea Surface Temperature (SST; degC), Sea Surface Salinity (SSS)</p> <p><br> 2022-10-14_NORDACC_UnderwayData.csv<br> This file contains 1 Hz data, delimited by commas, that were collected while NORDACC was in operation. The underway data columns correspond to:<br> Date & Time (ISO format yyyy-mm-ddTHH:MM:SS), Operation State (1=initializing, 2=sailing, 3=water sample), Longitude (decimal degrees), Latitude (Latitude), Sea Surface Temperature (SST; degC), Sea Surface Salinity (SSS)</p> <p><br> About NORDACC:</p> <p>The Naval Operating Research Drone Assessing Climate Change (NORDACC) was designed by Serbian Akbulut, Jeppe Fogh Rasmussen, Christian Søndergård Hestbech, and Marius Hjorth Andersen, a group of mechatronics students at Aarhus University. The project was supervised by Prof. Claus Melvad (AU) and received external guidance by Dr. Daniel Carlson (Helmholtz-Zentrum Hereon). The NORDACC project was partially supported by Helmholtz-Zentrum Hereon and the Klaus-Tschira Boost Fund that was administered by the German Scholars Organization.</p> <p>NORDACC designs, software, and BOM are open source and provided via Mendeley Data, doi:10.17632/rpzv35pccr.1 </p> <p>For more information about NORDACC see the accompanying paper in HardwareX. </p>
Discrete Flow Cytometry of Underway Samples from Gradients 5 (2023) Using a BD Influx Cell Sorter
<p>The dataset consists of BD Influx-based analysis of phytoplankton populations from discrete flow cytometry data collected underway during the Gradients 2023 (Gradients 5/TN412) oceanographic research cruise in the equatorial Pacific Ocean. The data consists of cell abundance, cell size (equivalent spherical diameter), carbon quota, and carbon biomass for picophytoplankton populations, namely the cyanobacteria Prochlorococcus and Synechococcus, and small eukaryotic phytoplankton (<5 µm ESD). Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: https://github.com/fribalet/FCSplankton</p>
Discrete Flow Cytometry of Underway Samples from TN414 Using a BD Influx Cell Sorter
<p>The dataset consists of BD Influx-based analysis of phytoplankton populations from discrete flow cytometry data collected underway during the transit from Fiji to New Zealand (TN414) in the South Pacific Ocean. The data consists of cell abundance, cell size (equivalent spherical diameter), carbon quota, and carbon biomass for picophytoplankton populations, namely the cyanobacteria Prochlorococcus and Synechococcus, and small eukaryotic phytoplankton (<5 μm ESD). Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: https://github.com/fribalet/FCSplankton</p>
Assembled file of one minute averages for high resolution surface meteorological (Met) and sea water intake (SWI) data from continuous underway measurements from CCE LTER process cruises in the CCE region, 2006 - 2019.
As the research vessel is underway for the duration of a CCE Process Cruise (since 2006, ongoing), 30 parameters are continuously measured regarding the oceanographic surface and atmospheric and navigational environment of the vessel, along the ship's trackline in the CCE region.
Nutrient concentration in seawater samples, collected from the underway supply, CTD and trace metal rosettes in the Southern Ocean during the austral summer of 2016/2017, on board the Antarctic Circumnavigation Expedition (ACE).
<p><strong>Dataset abstract</strong></p> <p>This dataset presents concentrations of nutrients (µmol/L): nitrous oxide (NOx), nitrate, nitrite, ammonium (NH4), phosphate (PO4) and silicic acid (Si), measured in samples of seawater during the Antarctic Circumnavigation Expedition (ACE). Samples were collected from CTD and trace metal rosette (TMR) deployments, as well as from the underway water supply on board, then analysed by flow injection following certified standards. This data was collected to support physical, chemical and biological oceanography studies in the Southern Ocean, conducted as part of ACE during the austral summer of 2016/2017.</p> <p><strong>Dataset contents</strong></p> <ul> <li>ace_seawater_nutrient_data.csv, data file, comma-separated values</li> <li>data_analysis_nutrient_concentration_standards.csv, metadata, comma-separated values</li> <li>quality_checking_crm_analysis_results.csv, metadata, comma-separated values</li> <li>nutrient_concentrations_along_track_visualisation.png, metadata, portable network graphics</li> <li>ace_seawater_nutrients_comparison_plots_tmr_ctd.pdf, metadata, portable document format</li> <li>data_file_header.txt, metadata, text</li> <li>README.txt, metadata text</li> <li>change_log.txt</li> </ul> <p><strong>Change log</strong></p> <p>v1.1 - various changes to data and metadata, described below</p> <ul> <li>added further data points to data file (those sampled from trace metal rosette)</li> <li>added ACE station number and ACE event number to data file</li> <li>reordered columns in data file</li> <li>updated README with information about sampling of trace metal rosette</li> <li>updated README with new citation, license, dataset contact and dataset contents, updated abstract</li> <li>updated data_file_header with new data fields</li> <li>added comparison plot of CTD and TMR data points</li> <li>updated caption of plot of nutrient concentrations along track (only from CTD samples)</li> </ul> <p>v1.0 - initial release of dataset</p> <p><strong>Dataset license</strong></p> <p>This nutrient concentration dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/</p>
Underway CTD data from the KM1906 Gradients 3 Cruise
<p>This dataset is a compilation of underway CTD casts from the KM1906 Gradients 3 SCOPE cruise. Variables include temperature, salinity, adjusted salinity, density, fluorescence, turbidity, oxygen, oxygen saturation and CTD cast number. The KM1906/Gradients 3 cruise traveled from Hawaii to the north Pacific and back in April of 2019.</p>
Gradients 4 TN397 Underway Thermosalinograph Data
<p>Near-surface temperature and salinity data for the Gradients 4 cruise (November 18th – December 15, 2021) were acquired through the use of a thermosalinograph (THSL) system aboard the research vessel R/V Thompson. Data were acquired every second. </p>
TN397 Underway PAR Data
<p>The SCOPE-Gradients program is designed to test conceptual and mathematical models of biogeochemical organization across the transition zone between different ecosystems. Photosynthetically active radiation (PAR) data for the Gradients 4 cruise (November 18th – December 15, 2021) were acquired through the use of a Biospherical QSR 2150A aboard the research vessel R/V Thompson. </p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.