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629 results for “continental shelf”
Diet composition for small pelagic fishes across the Northeast U.S. Continental Shelf for NES-LTER, ongoing since 2013
These data represent the diet composition of small pelagic fishes assessed by the Northeast U.S. Shelf Long-Term Ecological Research (NES-LTER) project. The six species of fish in this dataset represent a subset of the species collected in bottom trawls conducted by the NOAA Fisheries Northeast Ecosystems Surveys from Cape Hatteras to the Gulf of Maine. Sampling occurred in the Spring and Fall seasons. Fish were frozen and stomach content analyses were conducted by the Fisheries Oceanography and Larval Fish Ecology Lab at the Woods Hole Oceanographic Institution. Data are counts and length measurements for prey items examined under a dissecting microscope. Prey species were matched to the lowest taxonomic level in the Integrated Taxonomic Information System (ITIS) for scientific name and taxonomic serial number. The dataset was supplemented with geospatial and temporal information from NOAA Fisheries trawl databases.
Ensemble of ice shelf basal melt rates and ocean properties for tipped-over continental shelves
<p><strong>Summary</strong><strong>:</strong></p> <p>This dataset contains the reference and tipped states from several model configurations developed at the <a href="https://www.awi.de/en/">Alfred Wegener Institute (AWI)</a> and the <a href="https://www.ige-grenoble.fr/?lang=en">Institut des Géosciences de l’Environnement (IGE)</a>. They were gathered here in the context of the <a href="https://www.tipaccs.eu">TiPACCs European project</a> and constitute a useful ensemble of reference and tipped ocean–ice-shelf simulations that <strong>can be used to feed ice-sheet simulations or to train melt parameterizations</strong>.</p> <p>The simulations produced by AWI are based on the <a href="https://fesom.de">FESOM</a> global ocean–sea-ice model using either Z- or Sigma- coordinates and all show a cold-to-warm tipping point for Filchner-Ronne Ice Shelf. The two sets of simulations produced by IGE are based on the <a href="https://www.nemo-ocean.eu">NEMO</a> ocean–sea-ice model. They include a global configuration showing a cold-to-warm tipping point for Ross Ice Shelf, and regional Amundsen Sea configuration showing a warm-to-warmer transition (likely not a proper tipping point). </p> <p>The files include 3-dimensional and sea-floor ocean temperatures and salinities, ice-shelf melt rates, as well as topographic and grid data. All variables are interpolated onto the common 8km stereographic grid that was used to provide ocean forcing in ISMIP6 (<a href="https://doi.org/10.5194/tc-14-2331-2020">Nowicki et al. 2020</a>).</p> <p>We provide the reference state and the anomaly, so that the tipped state is:</p> <ul> <li><em>Tipped = Reference + Anomaly</em></li> </ul> <p>To have an overview of the reference and tipped states, have a look at these figures:</p> <ul> <li><em>figure_ref_and_anomalies_1.pdf</em></li> <li> <p><em>figure_ref_and_anomalies_2.pdf</em></p> </li> <li> <p><em>figure_seafloor_temp_zooms.pdf</em></p> </li> </ul> <p> </p> <p>_______________________________________________</p> <p><strong>Detailed Data Description</strong><strong>:</strong></p> <p> </p> <ul> <li><strong>reference_high_FESOM_sigma_AWI_TiPACCs.nc</strong> <ul> <li>contact: Ralph Timmermann <a href="mailto:ralph.timmermann@awi.de">ralph.timmermann@awi.de</a>, Verena Haid <a href="mailto:verena.haid@awi.de">verena.haid@awi.de</a></li> <li>model: FESOM1.4, sigma-coordinates (global with refined grid around Antarctica)</li> <li>atmospheric forcing: HadCM3 20C</li> <li>provided average: 1990-1999 (10-year mean)</li> <li>more: <a href="https://doi.org/10.1007/s10236-013-0642-0">Timmermann and Hellmer (2013)</a></li> </ul> </li> </ul> <p> </p> <ul> <li><strong>reference_low_FESOM_sigma_AWI_TiPACCs.nc</strong> <ul> <li>contact: Ralph Timmermann <a href="mailto:ralph.timmermann@awi.de">ralph.timmermann@awi.de</a>, Verena Haid <a href="mailto:verena.haid@awi.de">verena.haid@awi.de</a></li> <li>model: FESOM1.4, sigma-coordinates (global with refined grid around Antarctica)</li> <li>atmospheric forcing: HadCM3 20C</li> <li>provided average: 1990-1999 (10-year mean)</li> <li>more: <a href="https://doi.org/10.5194/os-13-765-2017">Timmermann and Goeller (2017)</a></li> </ul> </li> </ul> <p> </p> <ul> <li><strong>reference_FESOM_z_AWI_TiPACCs.nc</strong> <ul> <li>contact: Verena Haid <a href="mailto:verena.haid@awi.de">verena.haid@awi.de</a></li> <li>model: FESOM1.4, Z-coordinates (global with refined grid around Antarctica)</li> <li>atmospheric forcing: ERA Interim</li> <li>provided average: 2008-2017 (10-year mean), i.e. model year 30-39</li> <li>more: same mesh as <a href="https://doi.org/10.5194/tc-13-2317-2019">Gürses et al. (2019)</a></li> </ul> </li> </ul> <p> </p> <ul> <li><strong>reference_NEMO4_eORCA025.L121_IGE_TiPACCs.nc</strong> <ul> <li>contact: Pierre Mathiot <a href="mailto:pierre.mathiot@univ-grenoble-alpes.fr">pierre.mathiot@univ-grenoble-alpes.fr</a></li> <li>model: NEMO-4.0, eORCA025.L121 (Global, 1/4°, 121 vertical levels)</li> <li>atmospheric forcing: JRA55do</li> <li>provided average: 2<sup>nd</sup> cycle of 1989-1998 (10-year mean); we first run 1979-2018, and we redo 1979-1998 starting from the 2018 state.</li> <li>more: <a href="https://pmathiot.github.io/NEMOCFG/docs/build/html/simu_eORCA025_OPM021.html">https://pmathiot.github.io/NEMOCFG/docs/build/html/simu_eORCA025_OPM021.html</a></li> </ul> </li> </ul> <p> </p> <ul> <li><strong>reference_NEMO3_AMUXL12.L75_IGE_TiPACCs.nc</strong> <ul> <li>contact: Nicolas Jourdain <a href="mailto:nicolas.jourdain@univ-grenoble-alpes.fr">nicolas.jourdain@univ-grenoble-alpes.fr</a></li> <li>model: NEMO-3.6, AMUXL12.L75 (Amundsen, 1/12°, 75 vertical levels)</li> <li>atmospheric forcing: MAR (<a href="https://doi.org/10.5194/tc-14-229-2020">Donat-Magnin et al. 2020</a>)</li> <li>provided average: 1989-2009 (21-year mean)</li> <li>more: similar model set-up as <a href="https://doi.org/10.1016/j.ocemod.2018.11.001">Jourdain et al. (2019)</a>.</li> </ul> </li> </ul> <p> </p> <ul> <li><strong>anomaly_high_FESOM_sigma_AWI_TiPACCs.nc</strong> <ul> <li>continuation of reference_high_FESOM_sigma_AWI_TiPACCs.nc</li> <li>forced with HadCM3 A1B</li> <li>provided average: 2190-2199 (10-year mean)</li> </ul> </li> </ul> <p> </p> <ul> <li><strong>anomaly_low_FESOM_sigma_AWI_TiPACCs.nc</strong> <ul> <li>continuation of reference_low_FESOM_sigma_AWI_TiPACCs.nc</li> <li>forced with HadCM3 A1B</li> <li>provided average: 2190-2199 (10-year mean)</li> </ul> </li> </ul> <p> </p> <ul> <li><strong>anomaly_high_FESOM_z_AWI_TiPACCs.nc</strong> <ul> <li>same model set-up as reference_FESOM_z_AWI_TiPACCs.nc</li> <li>atmospheric forcing south of 60°S HadCM3 A1B starting 2050, otherwise ERA Interim starting 1979</li> <li>provided average: model year 69-78 (10-year mean), i.e. 2008-2017 of 2<sup>nd</sup> 39yr-cycle</li> </ul> </li> </ul> <p> </p> <ul> <li><strong>anomaly_medium_FESOM_z_AWI_TiPACCs.nc</strong> <ul> <li>same model set-up as reference_FESOM_z_AWI_TiPACCs.nc</li> <li>atmospheric forcing: ERA Interim modified with a strong imprint of the seasonal cycle of HadCM3 A1B 2070-2089</li> <li>provided average: model year 69-78 (10-year mean), i.e. 2008-2017 of 2<sup>nd</sup> 39yr-cycle</li> </ul> </li> </ul> <p> </p> <ul> <li><strong>anomaly_low_FESOM_z_AWI_TiPACCs.nc</strong> <ul> <li>same model set-up as reference_FESOM_z_AWI_TiPACCs.nc</li> <li>atmospheric forcing: manipulated ERA Interim with prolongued summer and shorter, milder winter south of 50°S, additional modification of winds in Weddell Sea region</li> <li>provided average: model year 108-117 (10-year mean), i.e. 2008-2017 of 3<sup>rd</sup> 39yr-cycle</li> </ul> </li> </ul> <p> </p> <ul> <li><strong>anomaly_NEMO4_eORCA025.L121_IGE_TiPACCs.nc</strong> <ul> <li>similar to reference_NEMO4_eORCA025.L121_IGE_TiPACCs.nc</li> <li>perturbation of the model parameters: Different iceberg distribution and different sea-ice–ocean drag and snow conductivity on sea-ice, leading to less sea-ice production in the eastern Ross Sea.</li> <li>More: <a href="https://pmathiot.github.io/NEMOCFG/docs/build/html/simu_eORCA025_OPM020.html">https://pmathiot.github.io/NEMOCFG/docs/build/html/simu_eORCA025_OPM020.html</a></li> </ul> </li> </ul> <p> </p> <ul> <li><strong>anomaly_NEMO3_AMUXL12.L75_IGE_TiPACCs.nc</strong> <ul> <li>similar to reference_NEMO3_AMUXL12.L75_IGE_TiPACCs.nc</li> <li>perturbation of atmospheric forcing: MAR forced by the CMIP5 multi-model anomaly under the RCP8.5 scenario (<a href="https://doi.org/10.5194/tc-15-571-2021">Donat-Magnin et al. 2021</a>).</li> <li>provided average: 2080-2100 (21-year average)</li> </ul> </li> </ul> <p> </p>
EOOffshore: CCMP v0.2.1.NRT Wind Data for the Irish Continental Shelf Region
<p><a href="https://eooffshore.github.io">EOOffshore</a> is a <a href="https://www.seai.ie/">Sustainable Energy Authority of Ireland (SEAI)</a> funded <a href="https://www.seai.ie/data-and-insights/seai-research/research-projects/details/building-upon-copernicus-earth-observation-services-to-augment-wind-measurement-coverage-of-the-oredp-offshore-renewable-energy-assessment-areas">project</a>, which commenced in June 2020 in the <a href="https://www.ucd.ie/physics/">School of Physics</a> in <a href="https://www.ucd.ie/">University College Dublin (UCD)</a>. It presents a case study that demonstrates the utility of the <a href="https://pangeo.io/">Pangeo</a> software ecosystem in the development of offshore wind speed and power density estimates, increasing wind measurement coverage of offshore renewable energy assessment areas in the <a href="https://www.marine.ie/Home/site-area/irelands-marine-resource/real-map-ireland">Irish Continental Shelf (ICS)</a> region. It has involved the creation of a new <a href="https://eooffshore.github.io/datasets.html">wind data catalog</a> for this region, consisting of a collection of analysis-ready, cloud-optimized (ARCO) datasets featuring up to 21 years of available in situ, reanalysis, and satellite observation wind data products.</p> <p>This particular catalog data set (<em>eooffshore_ics_ccmp_v02_1_nrt_wind.zarr</em>) contains 2015-2021 Cross-Calibrated Multi-Platform (CCMP) v0.2.1.NRT 6-hourly wind products for the ICS region, where wind speed and direction are calculated from the <em>uwnd</em> and <em>vwnd</em> variables. The source data products are generated by <a href="https://www.remss.com/measurements/ccmp/">Remote Sensing Systems (RSS)</a>. This CCMP data set was used in the EOOffshore project outputs presented (<em><a href="https://meetingorganizer.copernicus.org/EGU22/EGU22-2746.html">Scalable Offshore Wind Analysis With Pangeo</a></em>) at the <em><a href="https://meetingorganizer.copernicus.org/EGU22/session/42046">Meeting Exascale Computing Challenges with Compression and Pangeo</a></em> <a href="https://www.egu22.eu/">2022 EGU General Assembly</a> session.</p> <p>Example usage of the CCMP data set in EOOffshore:</p> <ul> <li><a href="https://eooffshore.github.io/CCMP_ICS_Wind_Data.html">CCMP Wind Data for Irish Continental Shelf region</a></li> <li><a href="https://eooffshore.github.io/Offshore_Wind_AOI.html">Offshore Wind in Irish Areas Of Interest</a></li> <li><a href="https://eooffshore.github.io/Comparison_Wind_Power.html">Comparison of Offshore Wind Speed Extrapolation and Power Density Estimation</a></li> </ul> <p>Note:</p> <ul> <li>This <a href="https://rda.ucar.edu/datasets/ds745.1/">NCAR/UCAR Research Data Archive page</a> states that the CCMP license is CC-BY-4.0. A separate CCMP data set has been previously used in the <a href="https://gallery.pangeo.io/repos/cgentemann/pangeo_ccmp/">NASA CCMP Winds Pangeo Gallery notebook</a>.</li> </ul>
EOOffshore: Sentinel-1 Wind Data for the Irish Continental Shelf Region
<p><a href="https://eooffshore.github.io">EOOffshore</a> is a <a href="https://www.seai.ie/">Sustainable Energy Authority of Ireland (SEAI)</a> funded <a href="https://www.seai.ie/data-and-insights/seai-research/research-projects/details/building-upon-copernicus-earth-observation-services-to-augment-wind-measurement-coverage-of-the-oredp-offshore-renewable-energy-assessment-areas">project</a>, which commenced in June 2020 in the <a href="https://www.ucd.ie/physics/">School of Physics</a> in <a href="https://www.ucd.ie/">University College Dublin (UCD)</a>. It presents a case study that demonstrates the utility of the <a href="https://pangeo.io/">Pangeo</a> software ecosystem in the development of offshore wind speed and power density estimates, increasing wind measurement coverage of offshore renewable energy assessment areas in the <a href="https://www.marine.ie/Home/site-area/irelands-marine-resource/real-map-ireland">Irish Continental Shelf (ICS)</a> region. It has involved the creation of a new <a href="https://eooffshore.github.io/datasets.html">wind data catalog</a> for this region, consisting of a collection of analysis-ready, cloud-optimized (ARCO) datasets featuring up to 21 years of available in situ, reanalysis, and satellite observation wind data products.</p> <p>The <a href="https://www.copernicus.eu/en/about-copernicus">European Union Copernicus Earth Observation (EO) programme</a> and services are based on data collected from EO satellites, in particular, the <a href="https://sentinels.copernicus.eu/web/sentinel/home">Sentinel satellite missions</a>. This includes the <a href="https://sentinel.esa.int/web/sentinel/missions/sentinel-1">Sentinel-1 mission</a>, which consists of C-band Synthetic Aperture Radar (SAR) imaging satellites in polar orbit. One of its main objectives is the provision of ocean monitoring services, where its <a href="https://sentinel.esa.int/web/sentinel/user-guides/sentinel-1-sar/product-types-processing-levels/level-2">Level-2 Ocean (OCN)</a> products include an Ocean WInd field (OWI) component. This provides gridded estimates of wind speed and direction at 10 m above the surface, with a typical spatial resolution of 1 km. This particular catalog data set (<em>eooffshore_ics_level3_sentinel1_ocn.zarr.tar.gz</em>) contains 2015-2021 OCN wind products for the ICS region, which were retrieved from the <a href="https://scihub.copernicus.eu/">Copernicus Open Access Hub (COAH)</a> and the <a href="https://search.asf.alaska.edu/#/">Alaska Satellite Facility (ASF)</a>. The data set was used in the EOOffshore project outputs presented (<em><a href="https://meetingorganizer.copernicus.org/EGU22/EGU22-2746.html">Scalable Offshore Wind Analysis With Pangeo</a></em>) at the <em><a href="https://meetingorganizer.copernicus.org/EGU22/session/42046">Meeting Exascale Computing Challenges with Compression and Pangeo</a></em> <a href="https://www.egu22.eu/">2022 EGU General Assembly</a> session.</p> <p>Description and example usage of the Sentinel-1 data set in EOOffshore:</p> <ul> <li><a href="https://eooffshore.github.io/Sentinel-1_ICS_Wind_Data.html">Sentinel-1 Wind Data for Irish Continental Shelf region</a></li> <li><a href="https://eooffshore.github.io/Offshore_Wind_AOI.html">Offshore Wind in Irish Areas Of Interest</a></li> <li><a href="https://eooffshore.github.io/Comparison_Wind_Power.html">Comparison of Offshore Wind Speed Extrapolation and Power Density Estimation</a></li> </ul> <p>As requested by the <a href="https://sentinels.copernicus.eu/documents/247904/690755/Sentinel_Data_Legal_Notice">Legal Notice on the use of Copernicus Sentinel Data and Service Information</a>, this data set:</p> <ul> <li>Contains modified Copernicus Sentinel data [2015 - 2021]</li> </ul>
EOOffshore: New European Wind Atlas (NEWA) Data for the Irish Continental Shelf Region
<p><a href="https://eooffshore.github.io/">EOOffshore</a> is a <a href="https://www.seai.ie/">Sustainable Energy Authority of Ireland (SEAI)</a> funded <a href="https://www.seai.ie/data-and-insights/seai-research/research-projects/details/building-upon-copernicus-earth-observation-services-to-augment-wind-measurement-coverage-of-the-oredp-offshore-renewable-energy-assessment-areas">project</a>, which commenced in June 2020 in the <a href="https://www.ucd.ie/physics/">School of Physics</a> in <a href="https://www.ucd.ie/">University College Dublin (UCD)</a>. It presents a case study that demonstrates the utility of the <a href="https://pangeo.io/">Pangeo</a> software ecosystem in the development of offshore wind speed and power density estimates, increasing wind measurement coverage of offshore renewable energy assessment areas in the <a href="https://www.marine.ie/Home/site-area/irelands-marine-resource/real-map-ireland">Irish Continental Shelf (ICS)</a> region. It has involved the creation of a new <a href="https://eooffshore.github.io/datasets.html">wind data catalog</a> for this region, consisting of a collection of analysis-ready, cloud-optimized (ARCO) datasets featuring up to 21 years of available in situ, reanalysis, and satellite observation wind data products.</p> <p>The <a href="https://www.neweuropeanwindatlas.eu/">New European Wind Atlas (NEWA)</a> provides wind statistics covering onshore Europe, 100km offshore over European seas, and the complete North and Baltic Seas, based on <a href="https://map.neweuropeanwindatlas.eu/about">30 years of mesoscale simulations</a>. These catalog data sets contain 2009-2018 products for the ICS region, provided by the <a href="https://map.neweuropeanwindatlas.eu/">NEWA Map Layers and Datasets</a> website, featuring variables at multiple heights (metres above surface level). They were used in the EOOffshore project outputs presented (<a href="https://meetingorganizer.copernicus.org/EGU22/EGU22-2746.html"><em>Scalable Offshore Wind Analysis With Pangeo</em></a>) at the <a href="https://meetingorganizer.copernicus.org/EGU22/session/42046"><em>Meeting Exascale Computing Challenges with Compression and Pangeo</em></a> <a href="https://www.egu22.eu/">2022 EGU General Assembly</a> session.</p> <ul> <li><em>eooffshore_ics_newa_celticsea.zarr.tar.gz</em> <ul> <li>Data set for a North Celtic Sea area of interest.</li> </ul> </li> <li><em>eooffshore_ics_newa_irishsea.zarr.tar.gz</em> <ul> <li>Data set for an Irish Sea area of interest.</li> </ul> </li> <li><em>eooffshore_ics_newa_m3.zarr.tar.gz</em> <ul> <li>Data set for the area surrounding the <a href="http://www.marine.ie/Home/site-area/data-services/real-time-observations/irish-weather-buoy-network-imos">Irish Weather Buoy Network - M3 buoy</a> coordinates.</li> </ul> </li> <li><em>eooffshore_ics_newa_m4.zarr.tar.gz</em> <ul> <li>Data set for the area surrounding the <a href="http://www.marine.ie/Home/site-area/data-services/real-time-observations/irish-weather-buoy-network-imos">Irish Weather Buoy Network - M4 buoy</a> coordinates.</li> </ul> </li> </ul> <p>Description and example usage of the NEWA data sets in EOOffshore:</p> <ul> <li><a href="https://eooffshore.github.io/NEWA_ICS_Wind_Data.html">NEWA Wind Data for Irish Continental Shelf region</a></li> <li><a href="https://eooffshore.github.io/Offshore_Wind_AOI.html">Offshore Wind in Irish Areas Of Interest</a></li> <li><a href="https://eooffshore.github.io/Comparison_Wind_Power.html">Comparison of Offshore Wind Speed Extrapolation and Power Density Estimation</a></li> </ul> <p>As requested by the <a href="https://map.neweuropeanwindatlas.eu/about">NEWA Terms of use</a>, the following attribution is declared:</p> <ul> <li>Data [2009 - 2018] obtained from the New European Wind Atlas (NEWA), a free, web-based application developed, owned and operated by the NEWA Consortium. For additional information see <a href="http://www.neweuropeanwindatlas.eu/">www.neweuropeanwindatlas.eu</a>.</li> </ul>
EOOffshore: ASCAT Wind Data for the Irish Continental Shelf Region
<p><a href="https://eooffshore.github.io">EOOffshore</a> is a <a href="https://www.seai.ie/">Sustainable Energy Authority of Ireland (SEAI)</a> funded <a href="https://www.seai.ie/data-and-insights/seai-research/research-projects/details/building-upon-copernicus-earth-observation-services-to-augment-wind-measurement-coverage-of-the-oredp-offshore-renewable-energy-assessment-areas">project</a>, which commenced in June 2020 in the <a href="https://www.ucd.ie/physics/">School of Physics</a> in <a href="https://www.ucd.ie/">University College Dublin (UCD)</a>. It presents a case study that demonstrates the utility of the <a href="https://pangeo.io/">Pangeo</a> software ecosystem in the development of offshore wind speed and power density estimates, increasing wind measurement coverage of offshore renewable energy assessment areas in the <a href="https://www.marine.ie/Home/site-area/irelands-marine-resource/real-map-ireland">Irish Continental Shelf (ICS)</a> region. It has involved the creation of a new <a href="https://eooffshore.github.io/datasets.html">wind data catalog</a> for this region, consisting of a collection of analysis-ready, cloud-optimized (ARCO) datasets featuring up to 21 years of available in situ, reanalysis, and satellite observation wind data products.</p> <p>The <a href="https://marine.copernicus.eu/">Copernicus Marine Service (CMS), or Copernicus Marine Environment Monitoring Service (CMEMS)</a>, is the marine component of the <a href="https://www.copernicus.eu/en/about-copernicus">European Union Copernicus Earth Observation (EO) programme</a>. It provides free, regular and systematic ocean data products on a global and regional scale. The CMS <a href="https://marine.copernicus.eu/about/producers/wind-tac">Surface Wind Thematic Assembly Center (Wind TAC)</a> is responsible for the collection, processing, qualification and distribution of surface winds data products derived from scatterometer satellite missions, including near-real time (NRT) and delayed mode (REP) processing of global wind observations. These catalog data sets contain CMS wind speed and direction data products generated using the Advanced SCATterometer (ASCAT) instruments deployed on the Metop satellites.</p> <ul> <li><em>eooffshore_ics_cmems_WIND_GLO_WIND_L3_REP_OBSERVATIONS_012_005_MetOp_ASCAT.zarr.tar.gz</em> <ul> <li>2007-2021 data products from the <a href="https://resources.marine.copernicus.eu/product-detail/WIND_GLO_WIND_L3_REP_OBSERVATIONS_012_005/INFORMATION"><em>Global Ocean Daily Gridded Reprocessed (REP) Level-3 Sea Surface Winds from Scatterometer</em></a><em> </em>data set.</li> </ul> </li> <li><em>eooffshore_ics_cmems_WIND_GLO_WIND_L3_NRT_OBSERVATIONS_012_002_MetOp_ASCAT.zarr.tar.gz</em> <ul> <li>2016-2021 data products from the <a href="https://resources.marine.copernicus.eu/product-detail/WIND_GLO_WIND_L3_NRT_OBSERVATIONS_012_002"><em>Global Ocean Daily Gridded Near Real Time (NRT) Level-3 Sea Surface Winds from Scatterometer</em></a><em> </em>data set.</li> </ul> </li> </ul> <p>The products feature 0.125 degree grids, based on 12.5 km scatterometer swath observations, for all combinations of Metop A/B (REP) and Metop A/B/C (NRT) satellites and ASCending, DEScending passes. These ASCAT data sets were used in the EOOffshore project outputs presented (<em><a href="https://meetingorganizer.copernicus.org/EGU22/EGU22-2746.html">Scalable Offshore Wind Analysis With Pangeo</a></em>) at the <em><a href="https://meetingorganizer.copernicus.org/EGU22/session/42046">Meeting Exascale Computing Challenges with Compression and Pangeo</a></em> <a href="https://www.egu22.eu/">2022 EGU General Assembly</a> session.</p> <p>Description and example usage of the ASCAT data sets in EOOffshore:</p> <ul> <li><a href="https://eooffshore.github.io/ASCAT_ICS_Wind_Data.html">ASCAT Wind Data for Irish Continental Shelf region</a></li> <li><a href="https://eooffshore.github.io/Offshore_Wind_AOI.html">Offshore Wind in Irish Areas Of Interest</a></li> <li><a href="https://eooffshore.github.io/Comparison_Wind_Power.html">Comparison of Offshore Wind Speed Extrapolation and Power Density Estimation</a></li> </ul> <p>As requested by the <a href="https://marine.copernicus.eu/user-corner/service-commitments-and-licence">Copernicus Marine Service Service Commitments and Licence</a>, these Zarr stores were:</p> <ul> <li> <p>Generated using E.U. Copernicus Marine Service Information; <a href="https://doi.org/10.48670/moi-00182">https://doi.org/10.48670/moi-00182</a>; <a href="https://doi.org/10.48670/moi-00183">https://doi.org/10.48670/moi-00183</a>;</p> </li> </ul>
High-wind events on the Southern New England continental shelf (2015-2022), their impact on shelf stratification, and corresponding high-wind event category: Dataset and Code
<p>Dataset of identified high-wind events on the Southern New England continental shelf (2015-2022), their impact on shelf stratification, and corresponding high-wind event category, as well as the associated code to reproduce the figures of accompanying publication. The data have been recorded by the Ocean Observatories Initiative (OOI) Coastal Pioneer New England Shelf Array. </p><p><i>Accompanying publication:</i> Taenzer, L.L., Gawarkiewicz, G., and Plueddemann, A. (2023). Categorization of High-Wind Events and Their Contribution to the Seasonal Breakdown of Stratification on the Southern New England Shelf. Journal of Geophysical Research: Oceans, 128, e2022JC019625. https://doi.org/10.1029/2022JC019625</p><p><i>Contact:</i> Lukas Taenzer (lukas.taenzer@whoi.edu)</p><p><strong>Structure of provided code:</strong></p><ul><li>PART A: Local high-wind ocean impact analysis</li><li>PART B: Analysis of seasonal high-wind impacts on stratification</li><li>PART C: High-wind event categorization and the impact of different categories</li></ul><p>Code has been written in MATLAB R2023a.</p><p><strong>Output:</strong></p><ul><li>Processed data of all locally detected high-wind events incl. scalar forcing and shelf impact estimates as well as their corresponding high-wind event category:<ul><li>'OOIcp_HighWindEvents_ScalarMetrics.nc' (see userflag 'save_peak_ooi')</li><li>See README_HighWindEvents_ScalarMetrics for further details and license.</li></ul></li><li>Figures 2, 3, 4, 5, 6, 7, 8, and 9 of accompanying publication<ul><li>saved as .png file (always)</li><li>saves as .eps file (see userflag 'save_fig_eps')</li></ul></li></ul><p><strong>Input for Analysis:</strong></p><ul><li>Gridded Hydrography and Bulk Air-Sea interactions time series observed by the Ocean Observatories Initiative (OOI) Coastal Pioneer New England Shelf Mooring Array (2015-2022) (Taenzer et al., 2023). The required fields to reproduce the results of the accompanying publication are provided:<ul><li>Input/OOIcp_Met_Combined.nc</li><li>Input/OOIcp_CTD_ISSM_stat.nc</li><li>Input/OOIcp_CTD_PMUI_prof.nc</li></ul></li><li>High-wind event categorization based on their spatio-temporal sea level pressure and temporal surface wind stress signatures around/at the OOI Coastal Pioneer Array location:<ul><li>Input/storm_type_2015-2021_v5.mat</li></ul></li></ul><p><strong>Additional input for reproducing figures:</strong></p><ul><li>Manually determined cyclone tracks for cyclones that occur during the fall destratification seasons 2015-2021:<ul><li>Input/stormtracks_cyclones_20152021_save.mat</li></ul></li><li>ERA5 sea level pressure data (Hersbach et al., 2018) on a 6-hour temporal and a 1°x1° spatial resolution for the time period 2015-01-01 to 2022-06-30 and across the Eastern US, Canada, and the Northwest Atlantic with the OOI Coastal Pioneer Array in the center<ul><li>Input/ERA5_6h_2015-2022_region_1x1.mat</li></ul></li></ul>
Stable Isotope Data for Small Pelagic Fishes across the Northeast U.S. Continental Shelf from 2013-2015
These data represent the carbon and nitrogen stable isotope signatures of small pelagic fishes across the Northeast U.S. Continental Shelf as reported by Suca, J.J., et al. (2018) Feeding dynamics of Northwest Atlantic small pelagic fishes. Progress in Oceanography, 165, 52-62, https://doi.org/10.1016/j.pocean.2018.04.014. The five species of fish in this dataset represent a subset of the species collected in bottom trawls conducted by the NOAA NEFSC Ecosystems Survey Branch from Cape Hatteras to the Gulf of Maine for years 2013-2015. Sampling occurred in the Spring and Fall seasons. Sections of dorsal musculature were analyzed for carbon and nitrogen isotopes using mass spectrometry. Carbon-to-nitrogen isotopic ratios were reported along with the isotopic signatures for carbon and nitrogen respectively. Additionally, a lipid-corrected carbon signature was calculated for the fish muscle tissue. The dataset was supplemented with geospatial and temporal information from NOAA Fisheries trawl databases.
Fig. 1 in Updated checklist of marine fishes (Chordata: Craniata) from Portugal and the proposed extension of the Portuguese continental shelf
Fig. 1. Map of the study area, the Portuguese EEZ, that includes the territorial waters and the area proposed for the extension of the Portuguese continental shelf (source: EMEPC–Mission Structure for the Extension of the Continental Shelf).
Fig. 1 in Descriptions of Three Cheilostomatid Bryozoan Species from the Continental Shelf off Boso Peninsula, Japan
Fig. 1. Tessaradoma japonicum sp. nov., holotype, NMNS PA 20496. A, Complete view of specimen (white arrow, ovicell in B; black arrow, elongate ovicell in D); B, zooid with ovicell (indicated by white arrow in A); C, inner surface of ooecium in B; D, lateral view of elongate ovicell (indicated by black arrow in A); E, boundary between ovicell and the next zooid in D. Scale bars: A, 500 µm; B, D, 200 µm; C, E, 100 µm.
Fig. 2 in Descriptions of Three Cheilostomatid Bryozoan Species from the Continental Shelf off Boso Peninsula, Japan
Fig. 2. Tessaradoma japonicum sp. nov., paratypes. A, Complete view of specimen NMNS PA 20497; B, ovicell and peristome in A; C, complete view of specimen NMNS PA 20498; D, primary orifice in C; E, spiramen in C. Scale bars: A, C, 500 µm; B, E, 100 µm; D, 50 µm.
Fig. 4 in Descriptions of Three Cheilostomatid Bryozoan Species from the Continental Shelf off Boso Peninsula, Japan
Fig. 4. Cribellopora connata (Ortmann, 1890) (A, B) and Hippomenella (?) coronula (Ortmann, 1890) (C–E). A, Ovicell and orifice, NMNS PA 20504; B, oblique view of zooid; arrows, three lateral communication pores, NMNS PA 20503B; C, single zooid with large avicularium, NMNS PA 20506B; D, single zooid, with relatively broad median imperforate area, NMNS PA 20506C; E, largest specimen, NMNS PA 20506A. Scale bars: A, B, 100 µm; C–E, 200 µm.
Fig. 3 in Descriptions of Three Cheilostomatid Bryozoan Species from the Continental Shelf off Boso Peninsula, Japan
Fig. 3. Tessaradoma japonicum sp. nov. (A) and Cribellopora connata (Ortmann, 1890) (B–F). A, Inner surface of frontal wall, paratype, NMNS PA 20500; B, colony on molluscan shell, uncoated specimen, NMNS PA 20501; C, colony with ancestrula, NMNS PA 20502 (arrow, zooid enlarged in E); D, ancestrula in C; E, zooid indicated by arrow in C; F, orifice, NMNS PA 20503B. Scale bars: A, E, 200 µm; B, 1 mm; C, 500 µm; D, 100 µm; F, 50 µm.
FIGURE 22. 1-2 in Taxonomic notes on Recent Foraminifera from the Continental Shelf-Slope Region of Southwestern Bay of Bengal, East Coast of India
FIGURE 22. 1-2, Spiroloculina parvula Chapman, 1902 in dorsal view (scale equals 300 μm) (1); and in ventral view (scale equals 300 μm) (2). 3-4, Spiroloculina subimpressa Parr, 1950 in dorsal view (scale equals 300 μm) (3) and in ventral view (scale equals 300 μm) (4). 5, Miliolid sp. in dorsal view (scale equals 200 μm). 6, Peneroplis pertusus (Forskål, 1775) in dorsal view (scale equals 500 μm). 7, Peneroplis planatus (Fichtel and Moll, 1798) in dorsal view (scale equals 500 μm). 8, Monalysidium confusa (McCulloch, 1977) in dorsal view (scale equals 500 μm). 9-10, Edentostomina cultrata (Brady, 1881) in dorsal view (scale equals 1 mm) (9) and in ventral view (scale equals 500 μm) (10). 11-12, Edentostomina rupertiana (Brady, 1881) in dorsal view (scale equals 500 μm) (11) and in dorsal view (scale equals 500 μm) (12). 13-14, Planispirinella exigua (Brady, 1879b) in dorsal view (scale equals 500 μm) (13) and in ventral view (scale equals 200 μm) (14). 15, Alveolinella quoii (d'Orbigny, 1826) in dorsal view (scale equals 500 μm). 16, Borelis melo (Fichtel and Moll, 1798) in dorsal view (scale equals 300 μm).
FIGURE 20. 1 in Taxonomic notes on Recent Foraminifera from the Continental Shelf-Slope Region of Southwestern Bay of Bengal, East Coast of India
FIGURE 20. 1, Parahauerinoides fragilissima (Brady, 1884) in dorsal view (scale equals 300 μm). 2, Pseudotriloculina sp., in dorsal view (scale equals 100 μm). 3, Pyrgo denticulata (Brady, 1884) in ventral view (scale equals 500 μm). 4. Pyrgo inornata (d'Orbigny, 1846) in ventral view (scale equals 300 μm). 5-6, Pyrgo oblonga (d'Orbigny, 1839a) in dorsal view (scale equals 300 μm) (5) and in ventral view (scale equals 300 μm) (6). 7, Pyrgo sp. in ventral view (scale equals 300 μm). 8, Pyrgo williamsoni (Silvestri, 1923) in ventral view (scale equals 300 μm). 9-10, Triloculina echinata d'Orbigny, 1826 in dorsal view (scale equals 200 μm) (9) and in ventral view (scale equals 200 μm) (10). 11-12, Triloculina insignis (Brady, 1881) in dorsal view (scale equals 300 μm) (11) and in ventral view (scale equals 200 μm) (12). 13-14, Triloculina oblonga (Montagu, 1803) in dorsal view (scale equals 300 μm) (13) and in ventral view (scale equals 300 μm) (14). 15, Triloculina schreiberiana d'Orbigny, 1839a in dorsal view (scale equals 200 μm). 16-17, Triloculina terquemiana (Brady, 1884) in lateral view (scale equals 400 μm) (16) and in dorsal view (scale equals 300 μm) (17). 18, Triloculina tricarinata d'Orbigny, 1826 in apertural view (scale equals 200 μm).
FIGURE 19. 1-2, Quinqueloculina undulose costata Terquem 1882 in Taxonomic notes on Recent Foraminifera from the Continental Shelf-Slope Region of Southwestern Bay of Bengal, East Coast of India
FIGURE 19. 1-2, Quinqueloculina undulose costata Terquem 1882 in dorsal view (scale equals 500 μm) (1) and in ventral view (scale equals 500 μm) (2). 3-4. Quinqueloculina venusta Karrer, 1868 in dorsal view (scale equals 500 μm) (3) and in ventral view (scale equals 400 μm) (4). 5, Quinqueloculina vulgaris d'Orbigny, 1826 in dorsal view (scale equals 100 μm). 6-8, Cribromiliolinella milletti (Cushman, 1954) in dorsal view (scale equals 500 μm) (6); in dorsal view (scale equals 400 μm) (7); and in dorsal view (scale equals 500 μm) (8). 9, Miliolinella circularis (Bornemann, 1855) dorsal view (scale equals 300 μm). 10-11, Miliolinella subrotunda (Montagu, 1803) in dorsal view (scale equals 100 μm) (10) and in ventral view (scale equals 200 μm) (11). 12-13, Miliolinella webbiana (d'Orbigny, 1839b) in dorsal view (scale equals 500 μm) (12) and in ventral view (scale equals 500 μm) (13). 14-16, Pseudotriloculina kerimbatica (Heron-Allen and Earland, 1939) in apertural view (scale equals 400 μm) (14); in dorsal view (scale equals 500 μm) (15); and in ventral view (scale equals 300 μm) (16). 17-18, Pseudotriloculina linneiana (d'Orbigny, 1839a) in dorsal view (scale equals 300 μm) (17) and in apertural view (scale equals 200 μm) (18).
FIGURE 18. 1-2 in Taxonomic notes on Recent Foraminifera from the Continental Shelf-Slope Region of Southwestern Bay of Bengal, East Coast of India
FIGURE 18. 1-2, Quinqueloculina bubnanensis McCulloch, 1977 in dorsal view (scale equals 400 μm) (1) and in apertural view (scale equals 200 μm) (2). 3-4, Quinqueloculina delicatula Vella, 1957 in dorsal view (scale equals 400 μm) (3) and in apertural view (scale equals 300 μm) (4). 5, Quinqueloculina lamarckiana d'Orbigny, 1839 in dorsal view (scale equals 200 μm). 6, Quinqueloculina lizardi Baccaert, 1987 in dorsal view (scale equals 200 μm). 7, Quinqueloculina parkeri (Brady, 1881) in dorsal view (scale equals 300 μm). 8, Quinqueloculina parvula Schlumberger, 1894 in dorsal view (scale equals 300 μm). 9-11, Quinqueloculina philippinensis Cushman, 1921 in dorsal view (scale equals 400 μm) (9); in ventral view (scale equals 400 μm) (10); and in apertural view (scale equals 500 μm) (11). 12, Quinqueloculina schlumbergeri (Wiesner, 1923) in dorsal view (scale equals 300 μm). 13-14, Quinqueloculina seminula (Linnaeus, 1758) in dorsal view (scale equals 100 μm) (13) and in ventral view (scale equals 100 μm) (14). 15-17, Quinqueloculina subparkeri McCulloch, 1977 in dorsal view (scale equals 300 μm) (15); in apertural view (scale equals 200 μm) (16); and in ventral view (scale equals 200 μm) (17). 18, Quinqueloculina subpolygona Parr, 1945 in dorsal view (scale equals 400 μm). 19-20, Quinqueloculina sulcata Fornasini, 1900 in dorsal view (scale equals 500 μm) (19) and in ventral view (scale equals 300 μm) (20).
FIGURE 16. 1, Clavulina angularis d in Taxonomic notes on Recent Foraminifera from the Continental Shelf-Slope Region of Southwestern Bay of Bengal, East Coast of India
FIGURE 16. 1, Clavulina angularis d'Orbigny, 1826 in dorsal view (scale equals 300 μm). 2-3, Martinottiella cylindrica (d'Orbigny, 1852) in dorsal view (scale equals 1 mm) (2) and in apertural view (scale equals 200 μm) (3). 4, Pseudoclavulina serventyi (Chapman and Parr, 1935) in dorsal view (scale equals 500 μm). 5, Hyperammina friabilis Brady, 1884 in dorsal view (scale equals 1 mm). 6-7, Lagenammina difflugiformis (Brady, 1879a) in dorsal view (scale equals 300 μm) (6) and in apertural view (scale equals 200 μm) (7). 8, Psammosphaera fusca Schulze, 1875 in dorsal view (scale equals 200 μm). 9-10, Adelosina longirostra (d'Orbigny, 1826) in dorsal view (scale equals 200 μm) (9) and in ventral view (scale equals 200 μm) (10). 11-12, Adelosina pulchella (d'Orbigny, 1826) in dorsal view (scale equals 200 μm) (11) and in ventral view (scale equals 300 μm) (12). 13, Cribrolinoides curta (Cushman, 1917) in dorsal view (scale equals 200 μm). 14, Miliammina fusca (Brady, 1870) in dorsal view (scale equals 200 μm). 15, Pseudohauerinella orientalis (Cushman, 1946) in dorsal view (scale equals 200 μm). 16, Sigmoihauerina bradyi (Cushman, 1917) in dorsal view (scale equals 200 μm). 17, Agglutinella arenata (Said, 1949) in dorsal view (scale equals 500 μm).
FIGURE 17. 1-2 in Taxonomic notes on Recent Foraminifera from the Continental Shelf-Slope Region of Southwestern Bay of Bengal, East Coast of India
FIGURE 17. 1-2, Cycloforina semiplicata (McCulloch, 1977) in dorsal view (scale equals 500 μm) (1) and in ventral view (scale equals 500 μm) (2). 3-4, Flintina bradyana Cushman 1921 in dorsal view (scale equals 500 μm) (3) and in ventral view (scale equals 500 μm) (4). 5, Hauerina earlandi Rasheed, 1971 in dorsal view (scale equals 300 μm). 6- 7, Hauerina ornatissima (Karrer, 1868) in dorsal view (scale equals 100 μm) (6) and in ventral view (scale equals 100 μm) (7). 8, Lachlanella barnardi (Rasheed, 1971) in dorsal view (scale equals 400 μm). 9, Massilina laevigata (Cushman and Todd, 1944) in dorsal view (scale equals 500 μm). 10, Quinqueloculina agglutinans d'Orbigny, 1839a in dorsal view (scale equals 100 μm). 11-12, Quinqueloculina auberiana d'Orbigny, 1839a in dorsal view (scale equals 500 μm) (11) and in ventral view (scale equals 200 μm) (12). 13, Quinqueloculina bicarinata d'Orbigny, 1826 in dorsal view (scale equals 400 μm). 14-15, Quinqueloculina bosciana d'Orbigny, 1839a in dorsal view (scale equals 200 μm) (14) and in ventral view (scale equals 200 μm) (15). 16, Quinqueloculina exmouthensis Parker, 2009 in dorsal view (scale equals 400 μm).
FIGURE 14. 1-4 in Taxonomic notes on Recent Foraminifera from the Continental Shelf-Slope Region of Southwestern Bay of Bengal, East Coast of India
FIGURE 14. 1-4, Globigerinoides sacculifera (Brady, 1877) in dorsal view (scale equals 500 μm) (1); in ventral view (scale equals 400 μm) (2); in dorsal view (scale equals 500 μm) (3); and in ventral view (scale equals 500 μm) (4). 5-6, Globigerinoides triloba (Reuss, 1850) in dorsal view (scale equals 400 μm) (5) and in ventral view (scale equals 400 μm) (6). 7-8, Globoturborotalita sp. in dorsal view (scale equals 100 μm) (7) and in ventral view (scale equals 100 μm) (8). 9-10, Sphaeroidinella dehiscens (Parker and Jones, 1865) in dorsal view (scale equals 400 μm) (9) and in ventral view (scale equals 400 μm) (10). 11, Candeina nitida d'Orbigny, 1839 in dorsal view (scale equals 100 μm). 12, Globigerinita glutinata (Egger, 1893) in dorsal view (scale equals 100 μm). 13-14, Globorotalia cultrata (d'Orbigny, 1839) in dorsal view (scale equals 100 μm) (13) and in ventral view (scale equals 100 μm) (14). 15-16, Globorotalia menardii (d'Orbigny, 1826) in dorsal view (scale equals 400 μm) (15) and in ventral view (scale equals 500 μm) (16). 17-18, Globorotalia tumida (Brady, 1877) in dorsal view (scale equals 500 μm) (17) and in ventral view (scale equals 500 μm) (18). 19-20, Globorotalia ungulata Bermúdez, 1961 in dorsal view (scale equals 300 μm) (19) and in ventral view (scale equals 200 μm) (20).
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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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.