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12 results for “sea ice cores”
Ice core, auger hole, conductivity, and shapefile data to determine bottomfast sea ice extent from lagoon sites along the Beaufort Sea Coast, Alaska, 2017-2021
The shapefile represents bottomfast sea ice (BSI) extent in lagoons along the Alaska Beaufort Sea coast during winter and spring, 2017-2021. It was created by digitizing extents from interferograms from the Alaska Satellite Facility Vertex portal. The result is used to identify BSI lateral extent in Arctic lagoons during the growth cycle seasonally. Comparing to future interferograms will identify the trend of BSI within Arctic lagoons. Each feature is attributed with applicable date range and area. Accurate data for the initial growth and maximum extent of BSI could only be collected for the winter and spring months. After the last collection in the spring, there is likely still BSI; however, the surface processes that take place after this point prevent further readings. For early winter time periods, if there are interferograms available (2017 and 2018 data had gaps in interferogram collection as Sentinel-1 was still new), the first date collected can be considered the onset of BSI formation. Ice cores are collected using a Snow, Ice, and Permafrost Research Establishment (SIPRE) corer and measured for salinity. The data is logged in Excel format following Seasonal Ice Zone Observing Network (SIZONet) practices, making it compatible with the PySIC Python toolkit for analysis. The auger data identifies key measurements collected from in-situ observations. Data are collected along five surveys and saved as a single CSV file. The data represent a 1-D representation of each auger hole. The data are used to verify satellite interpretations of BSI extent. The apparent conductivity data includes values at three frequencies (1000 Hz, 4000 Hz, 16000 Hz) recorded during the spring of 2021 in Western Elson Lagoon. Data are saved as an EMI file, which is a CSV format with specific column names and header information. MATLAB scripts to read and interpret data are included in this data package. The apparent conductivity values are used to identify the boundary between floating
Ice, water, and sediment pigment concentrations from Beaufort Sea lagoons core program stations, 2023-24
Bottom ice (< 20 cm), water column, and undisturbed surface sediment samples from the Beaufort Lagoon Ecosystem Long Term Ecological Research programs were collected, in tandem, from core program sites in ice-cover (~April), ice break-up (~June), and open water (~August) seasons of 2023, and ice-cover 2024, to quantify algal pigment concentrations and variations in an annual cycle. We also ran historical samples from 2021 sampling seasons. This data can be used with analysis programs such as CHEMTAX or PhytoClass to elucidate microalgal community structure. Fourteen pigments were measured, including chlorophyll a, fucoxanthin, zeaxanthin, alloxanthin, peridinin, prasinoxanthin, lutein, chlorophyll c<sub>3</sub>, 19-hexanoyloxyfucoxanthin, and 19-butanoyloxyfucoxanthin. Phaeopigments (pheophytin, pheophorbide, and chlorophyllide a) were also included in these analyses. For sediment samples, the values of chlorophyll a, fucoxanthin, zeaxanthin, alloxanthin, peridinin, pheophytin, pheophorbide, and chlorophyllide a can be found in the core program pigment dataset, which is a continuously collected data set (<a href="https://doi.org/10.6073/pasta/5294f45c9c7287903078926a487f1fd7" style="text-decoration: underline;">Sediment pigment concentrations</a>). Pigment concentrations were measured using high-precision liquid chromatography (HPLC). Concentrations are represented as μg L<sup>-1</sup> for both ice and water column samples, and as μg g<sup>-1</sup> for sediment samples.
Sea ice core temperature and salinity data collected during the 2019 SCALE Winter Cruise
<p>Temperature and salinity profiles of sea ice cores extracted from in situ sea ice floes and lifted pancakes were measured in the Atlantic sector of the Antarctic Marginal Ice Zone during the Southern oCean seAsonal Experiment (SCALE) winter cruise in 2019 (<a href="http://www.scale.org.za">www.scale.org.za</a>) aboard the SA Agulhas II.</p>
Sea ice core temperature and salinity data collected during the 2019 SCALE Spring Cruise
<p>Temperature and salinity profiles of sea ice cores extracted from in situ sea ice floes and lifted pancakes were measured in the Atlantic sector of the Antarctic Marginal Ice Zone during the Southern oCean seAsonal Experiment (SCALE) spring cruise in 2019 (<a href="http://www.scale.org.za">www.scale.org.za</a>) aboard the SA Agulhas II.</p>
Sea ice core biogeochemical data collected during the 2019 SCALE Winter Cruise
<p><strong>Title: </strong>Biogeochemical profiles of sea ice cores sampled during the Southern oCean seAsonal Experiment (SCALE) winter cruise in 2019.</p> <p> </p> <p><strong>Authors:</strong> Riesna R. Audh, Siobhan Johnson, Mark Hambrock, Hazel Little, Joshua Mirkin, Emmanuel Omatuku, Benjamin Hall, Tokoloho Rampai, Keith MacHutchon, Sebastian Skatulla, Sarah E. Fawcett, Marcello Vichi</p> <p> </p> <p><strong>Data Description:</strong></p> <p> </p> <p><strong>Abstract</strong></p> <p>Biogeochemical profiles of sea ice cores extracted from in situ sea ice floes and lifted pancakes were measured in the Atlantic sector of the Antarctic Marginal Ice Zone during the Southern oCean seAsonal Experiment (SCALE) winter cruise in 2019 (<a href="http://www.scale.org.za">www.scale.org.za</a>) aboard the SA Agulhas II.</p> <p> </p> <p>A total of four sea ice cores (cores) were sampled during the cruise. Two cores were collected overboard on a consolidated floe that was accessed via a personnel carrier suspended by the ship’s forward crane. Two cores were collected from a pancake that was lifted aboard the ship via a net that was attached to the ship’s aft crane and placed on the helideck for sampling. Profiles were obtained by cutting the cores using a bandsaw in a cold laboratory at -10 °C. The cores were cut into approximately 0.05 m segments, starting from the bottom of the core. These segments were allowed to melt in the dark in an insulated box. The meltwater was filtered for chlorophyll measurements (Welschmeyer, 1994) and the filtrate was analysed for oxygen isotopes (Walker and others, 2015), ammonium (Holmes et al., 1999), phosphate, nitrate, nitrite and silicate (using a SEAL AA500 segmented flow autoanalyser). These values are reported at the depth of the top of the segment in the core in μM. In order to facilitate comparison with the seawater concentrations below the ice, the in-ice nutrients (including NH4+) were salinity normalised using the equation of Fripiat and others (2017):</p> <p> </p> <p><em>C</em><em>norm</em><em> = C</em>SwS<em> </em><em> </em></p> <p> </p> <p>Where C is the measured bulk concentration, Sw is the salinity of the seawater, and S is the corresponding measured bulk salinity of the ice segment.</p> <p> </p> <p>Although sampling of the core occurred from the bottom of the core to the top of the core, the data are reported as the top of the core (snow/ice interface) being 0 m (depth=0 m). </p> <p> </p> <p><strong>This research has been funded by the National Research Foundation of South Africa (NRF)</strong></p> <p><br> </p> <p><strong>Cruise:</strong> VOY-038 (SCALE2019-WINTER) (URL: https://scale.org.za/)</p> <p><strong>Station(s):</strong> VOY-038-MIZ3A</p> <p>VOY-038-MIZ1D</p> <p><strong>Position(s):</strong> -58.13783 S; 0.00442 W</p> <p>-56.8017 S; 0.30262 E</p> <p><strong>Date/Time:</strong> 2019-07-27/10:38:00</p> <p>2019-07-28/09:15:00</p> <p><strong>Method(s):</strong> Overboard coring</p> <p>Pancake lifting via aft crane, on deck coring</p> <p><strong>Parameters:</strong><strong> </strong>Station Number (Station)</p> <p>Date/Time of station (Date/Time)</p> <p>Latitude of station (Latitude)</p> <p>Longitude of station (Longitude)</p> <p>Ice type (Ice Type)</p> <p>Core ID(Core), Pancake identifier A/B/C/D</p> <p>Oxygen isotopes (d18O)</p> <p>Chlorophyll (Chl-a)</p> <p>Ammonium (NH4)</p> <p>Nitrate + Nitrite (NO3+NO2)</p> <p>Nitrite (NO2)</p> <p>Phosphate (PO4)</p> <p>Silicate (Si)</p> <p>Nitrate (NO3)</p> <p>Salinity of the ice segment from physical cores (IceSalinity)</p> <p>Standard deviation of the salinity average from physical cores (IceSalinityStdev)</p> <p>Seawater salinity from CTD (SeawaterSalinity)</p> <p>Salinity normalised nitrate+nitrite (N03+N02_Avg_SalinityNormalised)</p> <p>Salinity normalised ammonium (NH4_SalinityNormalised)</p> <p>Salinity normalised nitrite (NO2_SalinityNormalised)</p> <p>Salinity normalised phosphate (PO4_SalinityNormalised)</p> <p>Salinity normalised silicate (Si_SalinityNormalised)</p> <p>Salinity normalised nitrate (NO3_SalinityNormalised)</p> <p><br> </p> <p> </p> <p><strong>Keywords: </strong>sea ice cores, Antarctica, pancake ice, sea ice, biogeochemistry, winter</p> <p> </p> <p><strong>References</strong><strong>:</strong></p> <p> </p> <p>Fripiat, F., Meiners, K.M., Vancoppenolle, M., Papadimitriou, S., Thomas, D.N., Ackley, S.F., Arrigo, K.R., Carnat, G., Cozzi, S., Delille, B. and Dieckmann, G.S., 2017. Macro-nutrient concentrations in Antarctic pack ice: Overall patterns and overlooked processes. Elementa: Science of the Anthropocene, 5. </p> <p> </p> <p>Holmes, R.M., Aminot, A., Kérouel, R., Hooker, B.A. and Peterson, B.J., 1999. A simple and precise method for measuring ammonium in marine and freshwater ecosystems. Canadian Journal of Fisheries and Aquatic Sciences, 56(10), pp.1801-1808. </p> <p> </p> <p>Walker, S.A., Azetsu‐Scott, K., Normandeau, C., Kelley, D.E., Friedrich, R., Newton, R., Schlosser, P., McKay, J.L., Abdi, W., Kerrigan, E. and Craig, S.E., 2016. Oxygen isotope measurements of seawater (18O/16O): A comparison of cavity ring‐down spectroscopy (CRDS) and isotope ratio mass spectrometry (IRMS). Limnology and Oceanography: Methods, 14(1), pp.31-38. </p> <p> </p> <p>Welschmeyer, N., 1994. A method for the determination of chlorophyll a in the presence of chlorophyll b and pheopigments. Limnology and Oceanography, 39, pp.1985-1992. </p> <p> </p>
RESICE - Reusability-targeted Enriched Sea Ice Core Database - Part A
<div> <div>RESICE is described in detail in the article <em>Reusability-targeted enrichment of sea ice core data</em> published on 2025-03-20 in Scientific Data (DOI: <a href="https://doi.org/10.1038/s41597-025-04665-x" target="_blank" rel="noopener">10.1038/s41597-025-04665-x</a>). This is Part A of RESICE. RESICE_PartA.csv contains all data including profile data (several rows per core), RESICE_PartA_cores.csv provides all data excuding profile data (one row per core) and sources_PartA.csv provides a list of all sources. The database including its <a title="RE-SICE Part B" href="https://www.doi.org/10.5281/zenodo.14744942" target="_blank" rel="noopener">Part B</a> is described in the <a title="RE-SICE General Information" href="https://www.doi.org/10.5281/zenodo.14744912" target="_blank" rel="noopener">general information. </a>Part A and Part B had to be separated due to different licenses of the orginal data sources.</div> </div>
RESICE - Reusability-targeted Enriched Sea Ice Core Database - General Information
<div> <div>RESICE is described in detail in the article <em>Reusability-targeted enrichment of sea ice core data</em> published on 2025-03-20 in Scientific Data (DOI: <a href="https://doi.org/10.1038/s41597-025-04665-x" target="_blank" rel="noopener">10.1038/s41597-025-04665-x</a>).</div> <div> </div> <div>A large number of sea ice core data sets are available that have been acquired by research groups around the world and published in different data repositories. The structure of sea ice core data differs substantially across repositories and entries regarding combinations of content, level and quality of description, label names, formats, units, etc. Here, we have compiled sea ice core data and metadata available in data sets (DS) into a tabular database. Additionally, we have added data and metadata from articles (A) and expedition reports (ER). We have enriched the database with metadata from instrument manuals (IM) and controlled terminologies (CT) such as the <a title="SIN" href="https://library.wmo.int/idurl/4/41953" target="_blank" rel="noopener"><em>Sea Ice Nomenclature</em></a> (SIN) from the World Meteorological Organization (WMO) and the <a title="SeaVoX Polygons" href="https://doi.org/10.14284/590" target="_blank" rel="noopener"><em>Polygon data set of water body extent from the SeaVoX Salt and Fresh Water Body Gazetteer</em></a> by the British Oceanographic Data Centre (BODC). We grouped the type of sources into primary sources (DS), secondary sources (A, ER), and tertiary sources (IM, CT). RESICE enhances reusability of the included sea ice core data through enrichment. RESICE provides a comprehensive resource for sea ice modeling applications that aim at using information from compiled sea ice core data. Some examples are calibration and validation of physics-based process models addressing the generation and evolution of sea ice or the training of data-driven models that rely on harmonized training data. As data and metadata are combined from many sources, each entry in the data set needs to be traceable to the original source and its corresponding DOI or URL. Where appropriate, we refer to the original excerpt, figure or table of the original source or comment on inconsistencies or required changes to transparently communicate the entries origin. This is the general information on the database. Please find <a title="RESICE Part A" href="https://www.doi.org/10.5281/zenodo.14745035" target="_blank" rel="noopener">Part A</a> of the database that can be reused under license CC-BY, and <a href="https://www.doi.org/10.5281/zenodo.14744942">Part B</a> of the database that can be reused under license CC-BY-SA. RESICE can be interactively viewed, analyzed and plotted in the <a title="MOSAiC webODV" href="https://mvre.webodv.cloud.awi.de/DataExploration/id/DVevtE7c">MOSAiC webODV</a> instance. RESICE can be reproduced and extended with the <a title="pyresice Python package" href="https://doi.org/10.5281/zenodo.11198658" target="_blank" rel="noopener">pyresice</a> Python package available on <a title="pyresice gitLab" href="https://git.rwth-aachen.de/mbd/pyresice/" target="_blank" rel="noopener">gitLab</a>.</div> </div>
Results of ultrasound measurements of sea-ice cores sampled during the Southern oCean seAsonal Experiment (SCALE) winter cruise in 2019
<p>This dataset details the results of testing sea ice cores collected during the SCALE 2019 Winter Cruise using ultrasound techniques. </p>
RESICE - Reusability-targeted Enriched Sea Ice Core Database - Interactive data2source Traceability
<div> <div> <p>The <em>interactive_data2source_traceability.svg</em> file illustrates data and metadata availability as well as their relation to their original sources for 287 sea ice cores that are part of the <a title="RESICE" href="https://doi.org/10.5281/zenodo.10866346" target="_blank" rel="noopener">Reusability-targeted Enriched Sea Ice Core Database (RESICE)</a> as it is published in Zenodo.</p> <p>(a) shows the availability of selected data and metadata features (x-axis) for each sea ice core as indexed on the y-axis. The color map indicates the type of availability. Primary availability refers to data or metadata extracted directly from the data set. Secondary availability refers to data or metadata are extracted from articles or reports that provide supplementary information about the data sets. Tertiary availability means that additional resources unrelated to the data sets, such as instrument manuals, were used to obtain the metadata of interest.</p> <p>(b) allows to trace the data and metadata collected per RESICE sea ice core back to their original data sources. Gray dots indicate the sea ice core - again as indexed on the y-axis. Green, orange and pink dots represent primary sources (data sets), secondary sources (articles and expedition reports) and tertiary sources (instrument manuals). <br>Each of the dots is interactive, so you can click on it, and it will link you to the original doi or url of the source or to the YAML file in the RESICE living database provided on gitLab.</p> <p>The code used to generate this figure is available in the <a title="pyresice " href="https://doi.org/10.5281/zenodo.11198658" target="_blank" rel="noopener">pyresice</a> Python package available on <a title="https://git.rwth-aachen.de/mbd/pyresice" href="https://git.rwth-aachen.de/mbd/pyresice">GitLab</a>.</p> </div> </div>
RESICE - Reusability-targeted Enriched Sea Ice Core Database - Part B
<div> <div> <div> </div> RESICE is described in detail in the article <em>Reusability-targeted enrichment of sea ice core data</em> published on 2025-03-20 in Scientific Data (DOI: <a href="https://doi.org/10.1038/s41597-025-04665-x" target="_blank" rel="noopener">10.1038/s41597-025-04665-x</a>). This is Part B of RESICE. <em>RESICE_PartB.csv</em> contains all data including profile data (several rows per core), RESICE_PartB_cores.csv provides all data excuding profile data (one row per core) and <em>sources_PartB.csv</em> provides a list of all sources. The database including its <a title="RE-SICE Part A" href="https://www.doi.org/10.5281/zenodo.14745035" target="_blank" rel="noopener">Part A</a> is described in the <a title="RE-SICE General Information" href="https://www.doi.org/10.5281/zenodo.14744912" target="_blank" rel="noopener">general information.</a> Part A and Part B had to be separated due to different licenses of the orginal data sources.</div> </div>
Sea ice core temperature and salinity data collected during the 2022 SCALE Winter Cruise
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On-Ice Arctic Sea Ice Thickness Measurements by Auger, Core, and Electromagnetic Induction, from the Late 1800s Onward, Version 2
This data set consists of on-ice sea ice thickness measurements derived from drill holes, gauges, thermistor strings, and surface electromagnetic induction. From journal articles, reports, on-line databases, and direct contact with sea ice investigators, measurements have been assembled from many types of expeditions with the earliest data extending back to 1879 and the most recent data going to 2016. The on-ice thickness archive currently holds data from 50 expeditions.
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International Brain Laboratory public data
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OpenNeuro
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