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  • EuroSea  (20)
  • PANGAEA  (10)
  • 2020-2024  (30)
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  • 1
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    Unknown
    More than 50 years of Th-234 data: a comprehensive global oceanic compilation (2021)
    PANGAEA
    Details
    Publication Date: 2024-05-19
    Description: The ²³⁴Th-²³⁸U radioactive pair has been extensively used to evaluate the efficiency with which photosyntetically fixed carbon is exported from the surface ocean by means of the biological pump since the 90's. The seminal work of Buesseler et al. (1992) proposed that particulate organic carbon (POC) flux can be indirectly calculated from ²³⁴Th distributions if the ratio of POC to ²³⁴Th measured on sinking particles (POC:²³⁴Th) at the desired export depth is known. Since then, a huge amount of ²³⁴Th depth profiles have been collected using a variety of sampling instruments and strategies that have changed along years. This is a global oceanic compilation of ²³⁴Th measurements, that collects results from innumerable researchers and laboratories over a period exceeding 50 years. The present compilation is made of a total 223 datasets: 214 from studies published either in articles in referred journals, PhD thesis or repositories, and 9 unpublished datasets. Including measurements from JGOFS, VERTIGO and GEOTRACES programs, with sampling from approximately 5000 locations spanning all the oceans. The compilation includes total ²³⁴Th profiles, dissolved and particulate ²³⁴Th concentrations, and POC:²³⁴Th ratios (both from pumps and sediment traps) for two sizes classes (1-53 μm and 〈 53 μm) when available. Appropriate metadata have been included, including geographic location, date, and sample depth, among others. When available, we also include water temperature, salinity, ²³⁸U data and particulate organic nitrogen data. Data sources and methods information (including ²³⁸U and ²³⁴Th) are also detailed along with valuable information for future data analysis such as bloom stage and steady/non-steady state conditions at the sampling moment. This undertaking is a treasure of data to understand and quantify how oceanic carbon cycle functions and how it will change in future. The compilation can be downloaded in three different ways: 1) A single merged file including all the individual excel files. This option can be accessed under "Other version: More than 50 years of Th-234 data: a comprehensive global oceanic compilation (single xlsx file)". 2) A summary table that includes details from cruise, sampling dates, techniques applied, authors and DOI of the compiled ²³⁴Th data, among others, each line corresponds to a specific dataset. The table can be accessed by clicking ""View dataset as HTML" and downloaded in "Download dataset as tab-delimited text". 3) Individual Excel files for each dataset can be manually chosen from the summary table, corresponding to the complete ²³⁴Th dataset and metadata from a specific publication or program. This option is available by clicking "View dataset as HTML". Furthermore, all files referred to can be downloaded in one go as ZIP or TAR.
    Keywords: 234Th; Author(s); Binary Object; biological carbon pump; Carbon, organic, particulate/Thorium-234 ratio; carbon export; Chief scientist(s); Cruise/expedition; DATE/TIME; ELEVATION; Gear; GEOTRACES; Global marine biogeochemical cycles of trace elements and their isotopes; JGOFS; Joint Global Ocean Flux Study; Journal/report title; LATITUDE; LONGITUDE; Multiple cruises/expeditions; Ocean; Ocean and sea region; Period; POC flux; Project; Reference of data; Thorium-234, dissolved; Thorium-234, particulate; Thorium-234, total; Uniform resource locator/link to reference; Uranium-238; Vessel; Year of publication
    Type: Dataset
    Format: text/tab-separated-values, 4056 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 2
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    Global Early Instrumental Monthly Meteorological Multivariable Database (HCLIM) (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: There is a growing need for past weather and climate data to support science and decision-making. This paper describes the compilation and the construction of a global multivariable (air temperature, pressure, precipitation sum, number of precipitation days) monthly instrumental climate database that encompasses a substantial body of the known early instrumental time series. The dataset contains series compiled from existing databases that start before 1890 (though continuing to the present) as well as a large amount of newly rescued data. All series underwent a quality control procedure and subdaily series were processed to monthly mean values. An inventory was compiled, and the collection was deduplicated based on coordinates and mutual correlations. The data are provided in a common format accompanied by the inventory. The collection totals 12452 meteorological records in 118 countries. The data has been merged from 18250 original data files. The data can be used for climate reconstructions and analyses. It is the most comprehensive global monthly climate data set for the preindustrial period.
    Keywords: A Palaeoreanalysis To Understand Decadal Climate Variability; de-duplication; early instrumental; GlobCover; PALAEO-RA; paleoclimatology; Paleometeorology; quality control; Time series
    Type: Dataset
    Format: application/zip, 24 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 3
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    Count and biomass records of infauna and sediment characteristics from grab samples at the alpha ventus offshore wind farm (North Sea), 2008 - 2011 (2022)
    PANGAEA
    Details
    Publication Date: 2024-01-16
    Description: Data on infauna and sediment characteristics were collected as part of an extensive research program on the effects of offshore wind turbines on the marine environment funded by the German Federal Maritime and Hydrographic Agency. The investigations were performed in the first German offshore wind farm alpha ventus in the German Bight (North Sea). The overall aim of the program was to evaluate the German national standard concept for environmental impact assessments for offshore wind farms. Specifically, our study addressed the potential changes of the infauna communities in different distances from single turbines in an early stage of the operational phase of the wind farm. The data were collected during the cruises HE296 (2008), HE313 (2009), HE340 (2010) and HE369 (2000) of the German research vessel RV Heincke. Infauna samples were taken with van Veen grab samples (sampling area: 0.1 m2, weight: 95 kg) inside the wind farm and in two reference sites outside the wind farm. Three replicate samples were taken at each station. The samples were sieved through a 1 mm mesh and species of the macro-infauna were determined to the lowest taxonomic level possible. Sub-samples of the sediments were fractionated in a cascade of sieves of different mesh sizes to determine the grain size distributions. The organic contents of the sediments were determined as weight loss on ignition. The dataset comprises 11,400 count and biomass records for 103 infaunal taxa (89 % on species level, 11 % others) from 528 samples. Sediments were characterised for 176 van Veen grabs.
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 4
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    Scientific model validation report during the demonstration period (2023)
    EuroSea
    Details
    Publication Date: 2024-02-19
    Type: Report , NonPeerReviewed
    Format: text
    Location Call Number Limitation Availability
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  • 5
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    Physical oceanography and current velocity data from mooring M6 on the upper continental slope, east of Filchner Trough, February 2017 – February 2021 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-23
    Description: Time series data of physical oceanography (seawater conductivity, temperature, pressure, salinity) and ocean current velocities were obtained from mooring M6 on the upper part (500 m isobath) of the continental slope, just east of the Filchner Trough in the southern Weddell Sea in February 2017 - February 2021. The mooring was deployed during the WAPITI expedition on James Clark Ross (JR16004), and recovered during the COSMUS expedition with Polarstern (PS124). The attached archive contains data from 1 RCM7 (24 meters above bottom (mab herafter) and sampling interval (sint hereafter) 2h), 5 SBE56 (25, 59, 74, 126, 202 mab, sint: 120 s), 3 SBE37 (34, 99, 176 mab, sint: 600 s), 1 RDI ADCP 150 kHz (235 mab, upwardlooking, sint: 1h), 1 SBE39 (15 mab, sint: 900s). Mooring diagrams and information about data processing are provided
    Keywords: ADCP; Antarctica; AWI_PhyOce; Continental Slope; Filchner Region; Filchner Trough; GPF 19-2_039, COSMUS; James Clark Ross; JR16004; JR16004_160; JR16004_160, PS124_99-1; M6_MOOR_WeddellSea; M6, M6_MOOR_WeddellSea; MOOR; Mooring; oceanographic moorings; oceanographic time series; Physical Oceanography @ AWI; Polarstern; PS124; PS124_99-1; Temperature and Salinity; WAPITI; Weddell Sea
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 6
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    Physical oceanography and current velocity data from mooring M3 on the upper continental slope, east of Filchner Trough, February 2017 – February 2021 (2023)
    PANGAEA
    Details
    Publication Date: 2024-02-23
    Description: Time series data of physical oceanography (seawater conductivity, temperature, pressure, salinity) and ocean current velocities were obtained from mooring M3 on the upper part (750 m isobath) of the continental slope, just east of the Filchner Trough in the southern Weddell Sea in February 2017 - February 2021. The mooring was deployed during the WAPITI expedition on James Clark Ross (JR16004), and recovered during the COSMUS expedition with Polarstern (PS124). The attached archive contains data from 1 RCM7 (21 meters above bottom (mab herafter) and sampling interval (sint hereafter) 2h), 13 SBE56 (22,56,81,106,159,184,6508,260,285,310,335,360,385 mab, sint: 120 s), 4 SBE37 (31, 134, 209, 410 mab, sint: 600 s), 1 RDI ADCP 75 kHz (235 mab, upwardlooking, sint: 2h), 1 SBE39 (435 mab, sint: 900s). Mooring diagrams and information about data processing are provided.
    Keywords: ADCP; Antarctica; AWI_PhyOce; Continental Slope; Filchner Region; Filchner Trough; GPF 19-2_039, COSMUS; James Clark Ross; JR16004; JR16004_162; JR16004_162, PS124_14-1; M3_MOOR_WeddellSea; M3, M3_MOOR_WeddellSea; MOOR; Mooring; oceanographic moorings; oceanographic time series; Physical Oceanography @ AWI; Polarstern; PS124; PS124_14-1; Temperature and Salinity; WAPITI; Weddell Sea
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 7
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    Development of targeted indicators and their uncertainties for demonstrators and Forecasts (2022)
    EuroSea
    Details
    Publication Date: 2023-09-11
    Description: This deliverable reports on the achievements of the EuroSea project in developing targeted indicators co-designed with demonstrators (WPs 5–7) and forecasts (WP4). For this, the indicators implemented are expressed in term of Essential Ocean/Climate Variables (EOVs/ECVs) together with their requirements. The co-development undertaken address ocean indicators for all range of scales: from the large, basin scale to the regional and local scales. Such approach as well as the proposed solution to focus, at regional/local scales, on EEZs, represent one of the innovative results of EuroSea that will help to rationalize risks assessments and guide environmental management approaches in European Seas.
    Type: Report , NonPeerReviewed , info:eu-repo/semantics/book
    Format: text
    Location Call Number Limitation Availability
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  • 8
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    Report on gaps in the European Ocean Observing and Forecasting System (2023)
    EuroSea
    Details
    Publication Date: 2023-11-23
    Description: The European Ocean Observing and Forecasting System (EOOFS) plays a pivotal role in understanding, monitoring, forecasting, and managing the complex dynamics and resources of Europe's Seas. It serves as a critical interdisciplinary system for addressing a myriad of challenges, from climate change impacts to marine resources management. However, to ensure its continued effectiveness, it is essential to identify and address the gaps within this system and provide actionable recommendations for improvements at short- and long-term. Therefore, this document serves as a baseline that can guide the funders and supporters of the EOOFS, as well as the various stakeholders directly or indirectly related to the EOOFS, towards the gaps that hinder better monitoring and prediction of various ocean phenomena, along the ocean observing value chain. The main identified gaps are related to spatial and temporal coverage of data and products of the EOOFS, the data integration and accessibility by various types of users, the uncertainties of projections, the technological challenges, as well as to the engagement of various actors and the communication of results and services to them. The main recommendations to be taken into consideration for addressing all highlighted gaps are detailed in the report for every phenomenon and component of the ocean value chain. These recommendations are not provided just to satisfy the academic interest of the EOOFS community, however, they may have profound implications for multiple sectors and the society as a whole, if taken into consideration. This is due to the fact that the EOOFS is essential for climate change mitigation and adaptation measures, in improving the efficiency of the marine resources’ management, in enhancing the resilience of marine and coastal ecosystems as well as coastal cities and infrastructures against disasters and extreme events, for shipping and navigation safety, and for the scientific advancements and innovations of Europe in the field of marine science that serves the society. We propose a scoring approach that can evaluate the EOOFS readiness level (RL) in monitoring ocean phenomena, on a regular basis and in a systematic way. We have demonstrated the usefulness of this approach by implementing it based on our assessment and the feedback of the EOOFS community. The main results clearly show that the EOOFS has “Fitness for Purpose” readiness levels (RL 7) in the three main pillars of the value chain (Input, Process, and Output) only for one ocean phenomenon, while 83% of ocean phenomena have RLs varying from 1 (Idea) to 4 (Trial). A deeper analysis of the scoring results reflects that the EOOFS major gaps are predominantly concentrated in two of its three pillars: the coordination and observational elements (Process) and data management and information products (Output) (Figure 1). In a changing world that is affecting all aspects of European lives, it is crucial to significantly invest and support the EOOFS to better monitor and accurately predict the European Seas, and provide sustained services that can help businesses and improve the resilience of communities and resources.
    Type: Report , NonPeerReviewed
    Format: text
    Location Call Number Limitation Availability
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  • 9
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    Biomass records of infauna from grab samples at the alpha ventus offshore wind farm (North Sea), 2008 - 2011 (2022)
    PANGAEA
    Details
    Publication Date: 2024-01-16
    Description: Data on infauna and sediment characteristics were collected as part of an extensive research program on the effects of offshore wind turbines on the marine environment funded by the German Federal Maritime and Hydrographic Agency. The investigations were performed in the first German offshore wind farm alpha ventus in the German Bight (North Sea). The overall aim of the program was to evaluate the German national standard concept for environmental impact assessments for offshore wind farms. Specifically, our study addressed the potential changes of the infauna communities in different distances from single turbines in an early stage of the operational phase of the wind farm. The data were collected during the cruises HE296 (2008), HE313 (2009), HE340 (2010) and HE369 (2011) of the German research vessel RV HEINCKE. Infauna samples were taken with van Veen grab samples (sampling area: 0.1 m2, weight: 95 kg) inside the wind farm and in two reference sites outside the wind farm. Three replicate samples were taken at each station. The samples were sieved through a 1 mm mesh and species of the macro-infauna were determined to the lowest taxonomic level possible. Sub-samples of the sediments were fractionated in a cascade of sieves of different mesh sizes to determine the grain size distributions. The organic contents of the sediments were determined as weight loss on ignition. The dataset comprises 11,400 count and biomass records for 103 infaunal taxa (89 % on species level, 11 % others) from 528 samples. Sediments were characterised for 176 van Veen grabs.
    Keywords: Area/locality; Biomass, wet mass; Counts; DATE/TIME; DEPTH, water; Event label; Gear; HE296; HE296/865-1; HE296/865-2; HE296/865-3; HE296/866-2; HE296/866-3; HE296/866-4; HE296/867-2; HE296/867-3; HE296/867-4; HE296/868-1; HE296/868-2; HE296/868-3; HE296/903-1; HE296/903-2; HE296/904-1; HE296/905-1; HE296/905-2; HE296/905-4; HE296/906-2; HE296/906-3; HE296/906-4; HE296/907-2; HE296/907-3; HE296/907-4; HE296/908-2; HE296/908-3; HE296/908-4; HE296/912-1; HE296/912-3; HE296/912-4; HE296/913-1; HE296/913-3; HE296/913-4; HE296/914-1; HE296/914-3; HE296/914-4; HE296/915-2; HE296/915-3; HE296/915-4; HE296/916-2; HE296/916-3; HE296/916-4; HE296/917-1; HE296/917-2; HE296/917-3; HE296/918-1; HE296/918-2; HE296/918-4; HE296/919-1; HE296/919-3; HE296/919-4; HE296/920-1; HE296/920-2; HE296/920-3; HE296/921-1; HE296/921-3; HE296/921-4; HE296/923-1; HE296/923-2; HE296/923-3; HE296/924-1; HE296/924-2; HE296/924-3; HE296/925-1; HE296/925-2; HE296/925-3; HE296/926-1; HE296/926-3; HE296/926-4; HE296/927-2; HE296/927-3; HE296/927-4; HE296/928-1; HE296/928-3; HE296/928-4; HE296/929-1; HE296/929-2; HE296/929-3; HE296/930-1; HE296/930-2; HE296/930-3; HE296/931-1; HE296/931-2; HE296/931-3; HE296/932-1; HE296/932-3; HE296/932-4; HE296/933-1; HE296/933-2; HE296/933-4; HE296/934-1; HE296/934-2; HE296/934-3; HE296/935-1; HE296/935-2; HE296/935-4; HE296/936-1; HE296/936-2; HE296/936-3; HE296/949-1; HE296/949-2; HE296/949-3; HE296/950-1; HE296/950-2; HE296/950-4; HE296/951-1; HE296/951-3; HE296/951-4; HE296/952-1; HE296/952-3; HE296/952-4; HE296/953-1; HE296/953-2; HE296/953-3; HE296/954-1; HE296/954-2; HE296/954-3; HE296/955-1; HE296/955-2; HE296/955-4; HE296/956-1; HE296/956-2; HE296/956-3; HE296/965-1; HE296/965-2; HE296/965-3; HE296/992-1; HE296/992-3; HE296/992-4; HE296/993-2; HE296/993-3; HE296/993-4; HE313; HE313/916-2; HE313/916-3; HE313/916-4; HE313/917-2; HE313/917-3; HE313/917-4; HE313/918-2; HE313/918-3; HE313/918-4; HE313/919-2; HE313/919-3; HE313/919-4; HE313/920-2; HE313/920-3; HE313/920-4; HE313/921-1; HE313/921-4; HE313/922-2; HE313/922-3; HE313/922-4; HE313/923-2; HE313/923-3; HE313/923-4; HE313/924-2; HE313/924-3; HE313/924-4; HE313/925-2; HE313/925-3; HE313/925-4; HE313/926-2; HE313/926-3; HE313/926-4; HE313/927-2; HE313/927-3; HE313/927-4; HE313/928-2; HE313/928-3; HE313/928-4; HE313/929-2; HE313/929-3; HE313/929-4; HE313/930-2; HE313/930-3; HE313/930-4; HE313/931-2; HE313/931-3; HE313/931-4; HE313/932-2; HE313/932-3; HE313/932-4; HE313/933-2; HE313/933-3; HE313/933-4; HE313/934-2; HE313/934-3; HE313/934-4; HE313/935-2; HE313/935-3; HE313/935-4; HE313/936-2; HE313/936-3; HE313/936-4; HE313/941-2; HE313/941-3; HE313/941-4; HE313/942-2; HE313/942-3; HE313/942-4; HE313/943-2; HE313/943-3; HE313/943-4; HE313/944-2; HE313/944-3; HE313/944-4; HE313/945-2; HE313/945-3; HE313/945-4; HE313/946-2; HE313/946-3; HE313/946-4; HE313/947-2; HE313/947-3; HE313/947-4; HE313/948-2; HE313/948-3; HE313/948-4; HE313/955-2; HE313/955-3; HE313/955-4; HE313/956-2; HE313/956-3; HE313/956-4; HE313/957-2; HE313/957-3; HE313/957-4; HE313/958-2; HE313/958-3; HE313/958-4; HE313/959-2; HE313/959-3; HE313/959-4; HE313/960-2; HE313/960-3; HE313/960-4; HE313/961-2; HE313/961-3; HE313/961-4; HE313/962-2; HE313/962-3; HE313/962-4; HE313/963-2; HE313/963-3; HE313/963-4; HE313/964-2; HE313/964-3; HE313/964-4; HE313/965-2; HE313/965-3; HE313/965-4; HE313/966-2; HE313/966-3; HE313/966-4; HE313/967-2; HE313/967-3; HE313/967-4; HE313/968-2; HE313/968-3; HE313/968-4; HE313/969-2; HE313/969-3; HE313/969-4; HE340; HE340/03-2; HE340/03-3; HE340/03-4; HE340/04-2; HE340/04-3; HE340/04-4; HE340/05-2; HE340/05-3; HE340/05-4; HE340/06-2; HE340/06-3; HE340/06-4; HE340/07-2; HE340/07-3; HE340/07-4; HE340/08-2; HE340/08-3; HE340/08-4; HE340/09-2; HE340/09-3; HE340/09-4; HE340/10-2; HE340/10-3; HE340/10-4; HE340/11-2; HE340/11-3; HE340/11-4; HE340/12-2; HE340/12-3; HE340/12-4; HE340/13-2; HE340/13-3; HE340/13-4; HE340/14-2; HE340/14-3; HE340/14-4; HE340/15-2; HE340/15-3; HE340/15-4; HE340/16-2; HE340/16-3; HE340/16-4; HE340/17-2; HE340/17-3; HE340/17-4; HE340/18-2; HE340/18-3; HE340/18-4; HE340/19-2; HE340/19-3; HE340/19-4; HE340/20-2; HE340/20-3; HE340/20-4; HE340/21-2; HE340/21-3; HE340/21-4; HE340/22-2; HE340/22-3; HE340/22-4; HE340/23-2; HE340/23-3; HE340/23-4; HE340/24-2; HE340/24-3; HE340/24-4; HE340/25-2; HE340/25-3; HE340/25-4; HE340/26-2; HE340/26-3; HE340/26-4; HE340/27-2; HE340/27-3; HE340/27-4; HE340/47-2; HE340/47-3; HE340/47-4; HE340/48-2; HE340/48-3; HE340/48-4; HE340/49-2; HE340/49-3; HE340/49-4; HE340/50-2; HE340/50-3; HE340/50-4; HE340/51-2; HE340/51-3; HE340/51-4; HE340/56-2; HE340/56-3; HE340/56-4; HE340/57-2; HE340/57-3; HE340/57-4; HE340/58-2; HE340/58-3; HE340/58-4; HE340/59-2; HE340/59-3; HE340/59-4; HE340/60-2; HE340/60-3; HE340/60-4; HE340/61-2; HE340/61-3; HE340/61-4; HE340/62-2; HE340/62-3; HE340/62-4; HE340/63-2; HE340/63-3; HE340/63-4; HE340/64-2; HE340/64-3; HE340/64-4; HE340/65-2; HE340/65-3; HE340/65-4; HE340/66-2; HE340/66-3; HE340/66-4; HE340/67-2; HE340/67-3; HE340/67-4; HE340/73-2; HE340/73-3; HE340/73-4; HE340/74-2; HE340/74-3; HE340/74-4; HE369; HE369/001-2; HE369/001-3; HE369/001-4; HE369/002-1; HE369/003-1; HE369/004-1; HE369/005-1; HE369/006-1; HE369/007-1; HE369/008-1; HE369/009-1; HE369/010-1; HE369/011-1; HE369/012-1; HE369/015-1; HE369/016-1; HE369/017-1; HE369/018-1; HE369/023-2; HE369/023-3; HE369/023-4; HE369/024-1; HE369/025-1; HE369/026-1; HE369/027-1; HE369/028-1; HE369/029-1; HE369/030-1; HE369/031-1; HE369/032-1; HE369/033-1; HE369/034-1; HE369/035-1; HE369/036-1; HE369/058-1; HE369/059-1; HE369/060-1; HE369/061-1; HE369/062-1; HE369/063-1; HE369/064-1; HE369/065-1; HE369/066-1; HE369/067-1; HE369/068-1; HE369/069-1; HE369/070-1; HE369/071-1; Heincke; LATITUDE; LONGITUDE; North Sea; Penetration depth; Project; Replicate; Scientific name; van Veen Grab; VGRAB
    Type: Dataset
    Format: text/tab-separated-values, 90465 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 10
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    Evolving and Sustaining Ocean Best Practices Workshop IV, 18; 21-25 & 30 Sep 2020 [Online]: Proceedings, Volumes 1 & 2 (2022)
    EuroSea
    Details
    Publication Date: 2023-09-08
    Description: The 4th Evolving and Sustaining Ocean Best Practices Workshop was held online during the period 17-30 September 2020, addressing community needs for advanced method development and implementation in ocean observations, data management and application. The proceedings for the subject workshop are provided in 2 volumes. Volume 1 addresses the meeting overview, and Volume 2 - Annexes includes the complete Working Group reports.
    Type: Report , NonPeerReviewed , info:eu-repo/semantics/book
    Format: text
    Location Call Number Limitation Availability
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