Munition pile inventory in the German Baltic Sea, 2017 to 2024
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PANGAEA
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| Format: | Dataset Open Access |
| Sprache: | en |
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PANGAEA
2026
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| _version_ | 1867171347102171136 |
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| author | Frey, Torsten Keller, Mareike Mohrmann, Jochen Pechmann, Alexander Ensenbach, Samar Greinert, Jens |
| author_facet | Frey, Torsten Keller, Mareike Mohrmann, Jochen Pechmann, Alexander Ensenbach, Samar Greinert, Jens |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | The dataset is a spreadsheet of munition piles, their properties (e.g., number of objects, variability, burial state), and the parameters characterizing their environmental (e.g., munition compound concentrations and current velocity) and maritime (e.g., distance to various maritime uses and traffic density) surroundings in the German Baltic Sea. Data were collected over numerous cruises from 2017 to 2024. All munition piles in the dataset are located at Kolberger Heide (close to Kiel Fjord) or in the Lübeck Bay. The purpose of data acquisition was to understand the distribution and properties of dumped munitions in German waters as well as the hazards and risks they pose to maritime uses. Munition piles were annotated in multibeam echosounder data, assessed in detail in photomosaics, and analyzed using an array of geospatial analysis methods. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_988426 |
| institution | PANGAEA |
| language | en |
| publishDate | 2026 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Munition pile inventory in the German Baltic Sea, 2017 to 2024 Frey, Torsten Keller, Mareike Mohrmann, Jochen Pechmann, Alexander Ensenbach, Samar Greinert, Jens AL548; AL548_102-1; AL548_5-1; AL548_81-1; AL548_96-1; AL567; AL567_201-1; AL567_53-1; AL583; AL583_155-1; AL583_34-1; AL583_81-1; AL590; AL590_99-1; AL603; AL603_127-2; AL615; AL615_63-1; AL615_8-2; AL615_96-1; Alkor (1990); AMMOTRACe; Annotation on MBES data according to Frey et al. (2026) [QGIS]; Annotation on photomosaics according to Frey et al. (2026) [OFOP v3.3.9]; AUV-based photomosaic [OFOP v3.3.9]; BASTA; Boost Applied munition detection through Smart data inTegration and AI workflows; BSH_Pzh-unknown_MB1-1; Buffer and zonal statistics according to Frey et al. (2026) [QGIS v3.30]; Burial depth; CONMAR; Current velocity, mean; DAM sustainMare - CONMAR: CONcepts for conventional MArine Munition Remediation in the German North and Baltic Sea; DATE/TIME; DEPTH, water; Distance to bathing sites; Distance to cables; Distance to contaminated area centroids; Distance to fish sampling stations; Distance to military areas; Distance to mussel sampling stations; Distance to protected areas; Distance to sediment deposits; Distance to shipping lanes; Environmental vulnerability; Event label; Explosive compounds in water; ExPloTect; Ex-situ, near-real-time exPlosive compound deTection in seawater; Fishing effort; Fishing intensity; Gaussian Kernal smoothing and sample raster values according to Frey et al. (2026) [QGIS v3.30]; GPF 20-1_055; H17-05; H17-05_MB1-1; H17-UDEMM-5; Haithabu; Identification; Identification remarks; Join attributes by location according to Frey et al. (2026) [QGIS v3.30]; Join attributes by nearest according to Frey et al. (2026) [QGIS v3.30]; Kolberger Heide; L13-20; L13-20_MB1-1; L18-02; L18-02_MB1-1; LATITUDE; Layering of objects on pile; Limanda limanda, bile, explosive compounds; Littorina; LONGITUDE; Marine AMMunitiOn dump site exploration by surface- and underwater-based laser mass spectrometric TRACing technology; maritime hazards; MB; MBES; MecoMM-BS - II; MecoMM-BS I - III; MineMoni‐III 2021; MineMoni-IV; Multibeam; Multibeam Echosounder; munitions; Mytilus, tissue, explosive compounds, per dry mass; Number of objects on pile; Objects, size, maximum; Objects, size, median; Photomosaic, annotated; photomosaics; Pile, area; Pile, variability; POS530; POS530_130-1; POS530_149-1; Poseidon; Research Mission of the German Marine Research Alliance (DAM): Protection and sustainable use of marine areas; Sample raster values according to Frey et al. (2026) [QGIS v3.30]; Sediment type; Shortest line between features according to Frey et al. (2026) [QGIS v3.30]; State of corrosion of casing; State of fuze; sustainMare; Traffic density, all vessels; Traffic density, cargo vessels; Traffic density, non-cargo vessels; Traffic density, non-passenger/non-cargo vessels; Traffic density, non-passenger vessels; Traffic density, passenger vessels; UDEMM; Umweltmonitoring für die DElaboration von Munition im Meer; unexploded ordnance; UXO; Visual assessment on photomosaics according to Frey et al. (2026) [OFOP v3.3.9]; Wave height, mean The dataset is a spreadsheet of munition piles, their properties (e.g., number of objects, variability, burial state), and the parameters characterizing their environmental (e.g., munition compound concentrations and current velocity) and maritime (e.g., distance to various maritime uses and traffic density) surroundings in the German Baltic Sea. Data were collected over numerous cruises from 2017 to 2024. All munition piles in the dataset are located at Kolberger Heide (close to Kiel Fjord) or in the Lübeck Bay. The purpose of data acquisition was to understand the distribution and properties of dumped munitions in German waters as well as the hazards and risks they pose to maritime uses. Munition piles were annotated in multibeam echosounder data, assessed in detail in photomosaics, and analyzed using an array of geospatial analysis methods. |
| title | Munition pile inventory in the German Baltic Sea, 2017 to 2024 |
| topic | AL548; AL548_102-1; AL548_5-1; AL548_81-1; AL548_96-1; AL567; AL567_201-1; AL567_53-1; AL583; AL583_155-1; AL583_34-1; AL583_81-1; AL590; AL590_99-1; AL603; AL603_127-2; AL615; AL615_63-1; AL615_8-2; AL615_96-1; Alkor (1990); AMMOTRACe; Annotation on MBES data according to Frey et al. (2026) [QGIS]; Annotation on photomosaics according to Frey et al. (2026) [OFOP v3.3.9]; AUV-based photomosaic [OFOP v3.3.9]; BASTA; Boost Applied munition detection through Smart data inTegration and AI workflows; BSH_Pzh-unknown_MB1-1; Buffer and zonal statistics according to Frey et al. (2026) [QGIS v3.30]; Burial depth; CONMAR; Current velocity, mean; DAM sustainMare - CONMAR: CONcepts for conventional MArine Munition Remediation in the German North and Baltic Sea; DATE/TIME; DEPTH, water; Distance to bathing sites; Distance to cables; Distance to contaminated area centroids; Distance to fish sampling stations; Distance to military areas; Distance to mussel sampling stations; Distance to protected areas; Distance to sediment deposits; Distance to shipping lanes; Environmental vulnerability; Event label; Explosive compounds in water; ExPloTect; Ex-situ, near-real-time exPlosive compound deTection in seawater; Fishing effort; Fishing intensity; Gaussian Kernal smoothing and sample raster values according to Frey et al. (2026) [QGIS v3.30]; GPF 20-1_055; H17-05; H17-05_MB1-1; H17-UDEMM-5; Haithabu; Identification; Identification remarks; Join attributes by location according to Frey et al. (2026) [QGIS v3.30]; Join attributes by nearest according to Frey et al. (2026) [QGIS v3.30]; Kolberger Heide; L13-20; L13-20_MB1-1; L18-02; L18-02_MB1-1; LATITUDE; Layering of objects on pile; Limanda limanda, bile, explosive compounds; Littorina; LONGITUDE; Marine AMMunitiOn dump site exploration by surface- and underwater-based laser mass spectrometric TRACing technology; maritime hazards; MB; MBES; MecoMM-BS - II; MecoMM-BS I - III; MineMoni‐III 2021; MineMoni-IV; Multibeam; Multibeam Echosounder; munitions; Mytilus, tissue, explosive compounds, per dry mass; Number of objects on pile; Objects, size, maximum; Objects, size, median; Photomosaic, annotated; photomosaics; Pile, area; Pile, variability; POS530; POS530_130-1; POS530_149-1; Poseidon; Research Mission of the German Marine Research Alliance (DAM): Protection and sustainable use of marine areas; Sample raster values according to Frey et al. (2026) [QGIS v3.30]; Sediment type; Shortest line between features according to Frey et al. (2026) [QGIS v3.30]; State of corrosion of casing; State of fuze; sustainMare; Traffic density, all vessels; Traffic density, cargo vessels; Traffic density, non-cargo vessels; Traffic density, non-passenger/non-cargo vessels; Traffic density, non-passenger vessels; Traffic density, passenger vessels; UDEMM; Umweltmonitoring für die DElaboration von Munition im Meer; unexploded ordnance; UXO; Visual assessment on photomosaics according to Frey et al. (2026) [OFOP v3.3.9]; Wave height, mean |
| url | https://doi.org/10.1594/PANGAEA.988426 |