SUPERYACHT_2020_Rrs

Archimedes Yacht surface hyperspectral remote sensing reflectance (Rrs) 2020 Hyperspectral remote sensing reflectance data collected on Archimedes Yacht in the Atlantic, Pacific and Southern Ocean in 2020. Time stamp is in UTC. Ocean-colour sensors mounted on satellites can view the entire ocean over a period of a few days. However, to calibrate these sensors and validate the data, satellite observations must be compared with accurate and reliable in situ measurements, collected at the ocean surface. There are many regions of the ocean where these in situ measurements are rarely collected. Ocean-colour sensors can be mounted on research vessels and ships of opportunity. In this project, an ocean-colour sensor (Seabird HyperSAS Solar Tracker) was mounted on a yacht that visits remote regions of the planet where few observations have been collected. This project aims to process this data to a level for use by the scientific community for scientific applications, such as satellite validation

SUPERYACHT_2019_Rrs

Archimedes Yacht surface hyperspectral remote sensing reflectance (Rrs) 2019 Hyperspectral remote sensing reflectance data collected on Archimedes Yacht in the Atlantic and Mediterranean Sea in 2019. Time stamp is in UTC. Ocean-colour sensors mounted on satellites can view the entire ocean over a period of a few days. However, to calibrate these sensors and validate the data, satellite observations must be compared with accurate and reliable in situ measurements, collected at the ocean surface. There are many regions of the ocean where these in situ measurements are rarely collected. Ocean-colour sensors can be mounted on research vessels and ships of opportunity. In this project, an ocean-colour sensor (Seabird HyperSAS Solar Tracker) was mounted on a yacht that visits remote regions of the planet where few observations have been collected. This project aims to process this data to a level for use by the scientific community for scientific applications, such as satellite validation

SUPERYACHT_2018_Rrs

Archimedes Yacht surface hyperspectral remote sensing reflectance (Rrs) 2018 Hyperspectral remote sensing reflectance data collected on Archimedes Yacht in the Atlantic and around the UK in 2018. Time stamp is in UTC. Ocean-colour sensors mounted on satellites can view the entire ocean over a period of a few days. However, to calibrate these sensors and validate the data, satellite observations must be compared with accurate and reliable in situ measurements, collected at the ocean surface. There are many regions of the ocean where these in situ measurements are rarely collected. Ocean-colour sensors can be mounted on research vessels and ships of opportunity. In this project, an ocean-colour sensor (Seabird HyperSAS Solar Tracker) was mounted on a yacht that visits remote regions of the planet where few observations have been collected. This project aims to process this data to a level for use by the scientific community for scientific applications, such as satellite validation

Planktonic Food Web Structure at a Coastal Site

<p>Fluorescent Labeled Bacteria (FLB) Uptake Experiment- whole (unfiltered) seawater (WSW) was collected on the HOE Legacy 2A cruise near station ALOHA, Hawaii. Water was collected from the Niskin into 3, 2.3L bottles. FLBs were added to the bottles, and 100ml was removed and preserved from each bottle at T0. Bottles were incubated on-deck for 1h, at which point another 100ml was preserved from each bottle. Preserved samples were filtered onto 2.0um blackened polycarbonate filters and stained with DAPI. Slides were stored at -20C. </p&gt

Gradients 3 KM1906 UCYN-A2&A3 nifH Gene Abundances

<p>This dataset is a quantification of the UCYN-A2&A3 nifH gene using digital droplet Polymerase Chain Reaction (ddPCR). Samples were collected during the April 2019 KM1906/Gradients 3 cruise that traveled from Hawaii to the North Pacific and back.</p&gt

HOT Primary Production and Flow Cytometry v2022

<p>This dataset consists of measurements of photosynthetic primary production, chlorophyll a and phaeopigment concentrations, and flow cytometry-based determinations of the abundances of heterotrophic bacteria and the picophytoplankton - Prochlorococcus, Synechococcus and small eukaryotic phytoplankton. All samples were collected through the Hawaii Ocean Time-series (HOT) program, which began in 1988 with ~monthly cruises to Station ALOHA (A Long-term Oligotrophic Habitat Assessment; 22° 10 N, 158° 00 W). Photosynthetic production of organic matter was measured by the 14C tracer method. Details on the methods employed over the years are detailed in Karl et al., Progress in Oceanography (https://doi.org/10.1016/j.pocean.2021.102563). Flow cytometry-based determinations of microbial abundances were made using an EPICS 753 flow cytometer on HOT 22-173 (December 1980 – September 2005) and a B/D Influx flow cytometer beginning with HOT 174 . Details on the flow cytometry methods are provided at (https://hahana.soest.hawaii.edu/hot/methods/bact.html). Samples for chlorophyll a and phaeopigments were collected onto Whatman GF/F filters and extracted with 100% acetone and measured on a Turner Designs Model 10-AU fluorometer based on standard techniques described in Strickland and Parsons, 1972. Method details available at (https://hahana.soest.hawaii.edu/hot/methods/chl.html). Time is in a separate column from date. Dates and times are in local time (HST).</p&gt

Bottle Data HOT, Station WHOTS 50

<p>This dataset contains CTD data and data from water samples collected at discrete depths via Niskin bottles mounted on the CTD rosette at HOT (Hawaii Ocean Time Series) station WHOTS 50. WHOTS 50 includes a surface mooring outfitted for meteorological and oceanographic measurements, the location of which alternates between the eastern (WHOTS 50) and southern (WHOTS 52) edges of ALOHA.  These sites are in collaboration with Woods Hole Oceanographic Institution. Time is in a separate column from date and is in GMT.</p> <p>(https://www.soest.hawaii.edu/whots/)</p> <p>(https://hahana.soest.hawaii.edu/hot/intro.html)</p&gt

Bottle Data HOT, Station WHOTS 52

<p>This dataset contains CTD data and data from water samples collected at discrete depths via Niskin bottles mounted on the CTD rosette at HOT (Hawaii Ocean Time Series) station WHOTS 52. WHOTS 52 includes a surface mooring outfitted for meteorological and oceanographic measurements, the location of which alternates between the eastern (WHOTS 50) and southern (WHOTS 52) edges of ALOHA.  These sites are in collaboration with Woods Hole Oceanographic Institution. Time is in a separate column from date and is in GMT. </p> <p>(https://www.soest.hawaii.edu/whots/)</p> <p>(https://hahana.soest.hawaii.edu/hot/intro.html)</p&gt

Particle Flux HOT v2022

<p>“Particle flux was measured at a standard reference depth of 150 m using multiple cylindrical particle interceptor traps deployed on a free-floating array for approximately 60 h during each cruise. Sediment trap design and collection methods are described in Winn et al. (1991). Samples were analyzed for particulate C, N, P & Si. Typically six traps are analyzed for PC and PN, three for PP, and another three traps for PSi.”  Time is in a separate column from date. Dates and times are in local time (HST).</p> <p> https://hahana.soest.hawaii.edu/hot/methods/pflux.html</p&gt

Bottle Data HOT, Station ALOHA

<p>This dataset contains CTD data and data from water samples collected at discrete depths via Niskin bottles mounted on the CTD rosette at HOT (Hawaii Ocean Time Series) station ALOHA, the primary HOT sampling site.  “Sampling at Station ALOHA typically begins with sediment trap deployment followed by a deep (> 4700 m) CTD cast and a "burst series" of at least 13 consecutive 1000 m casts, on 3-h intervals, to span the local inertial period (~ 31 h) and three semidiurnal tidal cycles. The repeated CTD casts enable us to calculate an average density profile from which variability on tidal and near-inertial time scales has been removed. These average density profiles are useful for the comparison of dynamic height and for the comparison of the depth distribution of chemical parameters from different casts and at monthly intervals. This sampling strategy is designed to assess variability on time scales of a few hours to a few years. Very high frequency variability (< 6 h) and variability on time scales of between 3-60 d are not adequately sampled with our ship-based operations. Water samples for a variety of chemical and biological measurements are routinely collected from the surface to within 10 m of the seafloor. To the extent possible, we collect samples for complementary biogeochemical measurements from the same or from contiguous casts to minimize aliasing caused by time-dependent changes in the density field. This approach is especially important for samples collected in the upper 350 m of the water column. Furthermore, we attempt to sample from common depths and specific density horizons each month to facilitate comparisons between cruises. Water samples for salinity determinations are collected from every water bottle to identify sampling errors. Approximately 20% of the water samples are collected and analyzed in duplicate or triplicate to assess and track our precision in sample analyses".  Time is in a separate column from date and is in GMT.</p> <p>(https://hahana.soest.hawaii.edu/hot/intro.html)</p&gt