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  • 1
    Publication Date: 2023-05-12
    Keywords: Area/locality; Conductivity, average; Depth, bottom/max; ELEVATION; Heat flow; LATITUDE; LONGITUDE; Method comment; Number; Sample, optional label/labor no; Temperature gradient
    Type: Dataset
    Format: text/tab-separated-values, 96 data points
    Location Call Number Expected Availability
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  • 2
    Publication Date: 2023-10-05
    Description: Swath sonar bathymetry data of the AUV ABYSS (GEOMAR) was recorded during RV POSEIDON cruise POS510 in March 2017 for the project "ANYDROS: Rifting and Hydrothermal Activity in the Cyclades Back-arc Basin". Chief Scientist was Prof. Mark Hannington from GEOMAR Helmholtz Centre for Ocean Research Kiel. The cruise took place between 2017-03-06 and 2017-03-29 in the Mediterranean Sea near Santorini, Greece. The cruise report is available under the following url: https://oceanrep.geomar.de/id/eprint/44466 The data was acquired during seven AUV dives at Kolumbo Seamount (NE of Santorini Island) by AUV ABYSS using a Kongsberg RESON Seabat 7125 Multibeam system run with a frequency of 200 kHz. Data were manually edited for false measurements in the software Qimera. No further artificial sound velocity profiles were used during processing. The data of the individual dives was combined, gridded at 2m resolution and the midpoints exported as txt-file with Latitude and Longitude provided in WGS84 datum and depth with negative values.
    Keywords: Aegean Sea; Autonomous underwater vehicle; AUV; AUV ABYSS; Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Elevation, maximum; Elevation, minimum; Extracted from file; File content; Horizontal datum; Horizontal datum, projection stored in file; Kolumbo Seamount; Latitude, northbound; Latitude, southbound; Longitude, eastbound; Longitude, westbound; Mediterranean; Multibeam Echosounder; POS510; POS510_0_Underway-1; POS510_30-1; POS510_35-1; POS510_46-1; POS510_53-1; POS510_71-1; POS510_82-1; POS510_94-1; Poseidon; Raster cell size; Vertical datum
    Type: Dataset
    Format: text/tab-separated-values, 21 data points
    Location Call Number Expected Availability
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  • 3
    Publication Date: 2024-01-26
    Description: Multibeam bathymetry raw data was recorded in the Pacific during cruise SO267 that took place between 2018-12-11 and 2019-01-26. The data was collected using the ship's own Kongsberg EM 122. Sound velocity profiles (SVP) were applied on the data for calibration. SVP data are part of this dataset publication. This data is part of the DAM (German Marine Research Alliance) underway research data project.
    Keywords: Binary Object; Binary Object (File Size); Binary Object (Media Type); DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; File content; KEM122; KONGSBERG EM122; LATITUDE; LONGITUDE; Multibeam Echosounder; Number of pings; Ship speed; SO267; SO267_0_Underway-1; Sonne_2; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; Swath bathymetry
    Type: Dataset
    Format: text/tab-separated-values, 12564 data points
    Location Call Number Expected Availability
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  • 4
    Publication Date: 2023-12-06
    Description: We compared Centroid Moment Tensors (CMTs), calculated for large (Mw 〉5), shallow (〈30 km) seismic events to the orientations of seafloor lineaments (n = 4000) mapped throughout the Lau Basin, in the SW Pacific. Ship-based multibeam was combined with vertical gravity gradient data to provide comprehensive coverage to create the lineament map. By comparing the possible focal planes of the CMTs to the orientations of the lineaments, the most likely fault plane solutions were selected, thus classifying the faults and establishing the nature of the highly variable stress regimes in the basin. We resolved the strike, dip and dip direction of 308 faults, and classified 258 additional structures by fault type. The majority of the table was data downloaded from the Global Centroid Moment Tensor (GCMT) database (www.globalcmt.org: accessed October 2018). For more details about the column headers consult the GCMT database website. New data from this study include the latitude and longitude error estimates (in meters), the classified faults (column: 'fault_type'), and the stress domain (column: 'stress_domain'), allocated to each of the classified faults.
    Keywords: Area/locality; B010186B; B010285E; B010484C; B010783C; B010783E; B010903A; B011101E; B011398E; B011498H; B011683A; B011694B; B011694F; B011700C; B011700E; B011777B; B011800B; B012099A; B012300F; B012300I; B012385B; B012598A; B012699D; B012999A; B020201E; B020487B; B020494A; B020796B; B020901A; B021298F; B021581B; B021587A; B021696B; B022093C; B022102F; B022387C; B022491B; B022503C; B022689B; B022787B; B030395E; B030601B; B030880A; B030894B; B031198D; B031293F; B031387A; B031387B; B031387E; B031393C; B031481A; B031487C; B031692A; B031992C; B031998A; B032003A; B032103D; B032377B; B032377C; B032377D; B032596A; B032682D; B032780A; B032780B; B032786A; B032882D; B032893B; B032982B; B032986B; B033002A; B033091A; B040691B; B040980A; B040991B; B041083C; B041201E; B041586A; B041780A; B041991C; B042088C; B042186A; B042294B; B042585D; B042700A; B042800B; B042879B; B042890B; B042979A; B050186A; B050198A; B050280D; B050392A; B050601C; B051486G; B051802C; B051981B; B052102D; B053179B; B060583A; B060598C; B060790C; B061186B; B061382A; B061479B; B061481A; B061492F; B061699D; B061797B; B061895B; B061895C; B062392E; B062502B; B062601M; B070188A; B070188B; B070689A; B070900A; B071684B; B071789A; B071997B; B072202A; B072602B; B072603D; B073101E; B080178A; B080497D; B080586A; B080586B; B080799A; B081087A; B081095B; B081286A; B081295A; B081299A; B081388C; B081694H; B081696C; B081696F; B082185A; B082290B; B082486A; B082486C; B082500A; B082577A; B082603B; B082686B; B082788B; B082790A; B082903B; B082995B; B083195C; B090684A; B090695A; B090882C; B091081A; B091377A; B091395C; B091799C; B091899D; B092097G; B092390A; B092492E; B092497C; B092688E; B092695A; B092995A; B093082A; B100179B; B100285B; B100295B; B100482B; B100684A; B100696A; B101303E; B101384A; B101501A; B101802D; B101802E; B101982A; B102287E; B102290A; B102677A; B102677B; B102885C; B103093C; B103100E; B110187C; B110499B; B110598F; B110796A; B111082A; B111382A; B111494B; B111596B; B111696C; B111696F; B111784G; B111796C; B111796E; B111797A; B111997B; B112090C; B112479A; B113087B; B113088B; B120386A; B120491A; B120696E; B120796A; B120888A; B120888B; B121286A; B121286C; B121386A; B121985A; B122190A; B122285A; B122285B; B122383A; B122387A; B122791B; B122998A; back-arc basins; Body wave magnitude; Body waves, components; Body waves, shortest period; Body waves, stations; C010987B; C011298J; C011498E; C012204A; C020399A; C020991A; C021393D; C022304C; C022304E; C022490A; C030693G; C030799E; C031293D; C031387F; C032004G; C032504E; C041704C; C041793C; C051504D; C051583A; C061404A; C070278A; C080497C; C080897C; C082997B; C090382E; C091400B; C091783C; C092304C; C100480A; C101104F; C101302A; C101804A; C103100F; C110892B; C111004D; C112304C; C120301A; C121804G; C200502181525A; C200503132233A; C200504261133A; C200504261856A; C200505051011A; C200505111540A; C200507310419A; C200508071135A; C200508071354A; C200508071441A; C200508221648A; C200509041213A; C200510191410A; C200510291633A; C200512071934A; C200512130316A; C200512130732A; C200512161433A; C200512201148A; C200601290826A; C200602061134A; C200602260418A; C200603020747A; C200603051712A; C200603140529A; C200603171946A; C200603191254A; C200604031604A; C200604032027A; C200604251512A; C200604300703A; C200605211757A; C200606031326B; C200606131540A; C200606151715A; C200606151810A; C200606232150A; C200606270836A; C200606281322A; C200607020257A; C200607031949A; C200607041259A; C200608111807A; C200608111841A; C200608112020A; C200611061053A; C200611061124A; C200611210112A; C200611241711A; C200701160153A; C200702031647A; C200702050956A; C200702051016A; C200702051019A; C200703270803B; C200704050246A; C200704050325A; C200704130150A; C200705030630A; C200706140529A; C200706192036A; C200706231914A; C200706231920A; C200706231935A; C200706232102A; C200706232152A; C200706241015A; C200706260801A; C200707020054A; C200707090650A; C200707170939A; C200707180007A; C200707182351A; C200707191933A; C200707270351A; C200708222224A; C200709101004A; C200709140546A; C200709160010A; C200709180610A; C200709302011A; C200710050352A; C200710050417A; C200710300458A; C200711231222A; C200711231237A; C200712150246A; C200801201630A; C200801220009A; C200801220628A; C200801220755A; C200801221049A; C200801231220A; C200801240250A; C200801271528A; C200801302347A; C200801310152A; C200802011026A; C200802112320A; C200802141905A; C200803161956A; C200804151724A; C200804160035A; C200804251844A; C200806200424A; C200807221851A; C200807231255A; C200807231324A; C200807231354A; C200808141242A; C200808141510A; C200808240100A; C200809010531A; C200809010706A; C200809011032A; C200810030834A; C200810092308A; C200810232336A; C200810240058A; C200811201758A; C200901300347A; C200902080724A; C200902110931A; C200903070941A; C200903241813A; C200904142237A; C200904142329A; C200905110526A; C200905260049A; C200907020806A; C200907101604A; C200907211507A; C200908070242A; C200908070334A; C200908071734A; C200909210606A; C200910011739A; C200910011821A; C200910011840A; C200910031402A; C200910031410A; C200910051852A; C200910071310A; C200910141800A; C200910271201A; C200910281955A; C200911050600A; C200911050604A; C200911050611A; C200911291033A; C200912262123A; C200912291202A; C201001131621A; C201001131649A; C201001131651A; C201001171046A; C201002071312A; C201002071359A; C201002150529A; C201003280207A; C201003280251A; C201004042028A; C201007041338A; C201007041613A; C201007171620A; C201008300444A; C201009071249A; C201009071613A; C201009291225A; C201012011601A; C201012182224A; C201012201743A; C201012210736A; C201101211711A; C201101241331A; C201102031113A; C201102280224A; C201103262249A; C201103280847A; C201103310011A; C201103310259A; C201103310744A; C201103311631A; C201103311709A; C201104240601A; C201105021321A; C201105021922A; C201105171035A; C201105180810A; C201105240853A; C201105241630A; C201105300006A; C201106051635A; C201106051656A; C201106192126A; C201106280707A; C201107051902A; C201107061011A; C201107061344A; C201107061446A; C201107101847A; C201107102029A; C201107110054A; C201108030320A; C201108201027A; C201109222307A; C201109230901A; C201110280447A; C201110280913A; C201111130624A; C201111190541A; C201111190706A; C201112140048A; C201201041345A; C201201041804A; C201201041854A; C201201081951A; C201201082004A; C201201090006A; C201202220426A; C201202220804A; C201202221003A; C201202240202A; C201202260246A; C201202260508A; C201202260521A; C201202261117A; C201202261212A; C201202261349A; C201202261613A; C201202261628A; C201202261919A; C201202261937A; C201202270135A; C201202270301A; C201202270711A; C201202271434A; C201202271454A; C201203122148A; C201203192346A; C201203300618A; C201203312252A; C201205041758A; C201205051118A; C201205132246A; C201206041418A; C201206070023A; C201206170638A; C201206190036A; C201207060040A; C201207110357A; C201207230328A; C201208030508A; C201208030722A; C201208031945A; C201208100642A; C201208192054A; C201208200048A; C201208200215A; C201209271131A; C201209271139A; C201210121510A; C201210132236A; C201210220032A; C201210301059A; C201211032259A; C201211132323A; C201211220619A; C201211281016A; C201212120144A; C201212141652A; C201212271531A; C201301020819A; C201301031649A; C201301291329A; C201302152120A; C201302250259A; C201302250356A; C201304120048A; C201304262010A; C201305060733A; C201305310334A; C201306181313A; C201306301513A; C201307090124A; C201307290812A; C201309081000A; C201311141415A; C201312111809A; C201312151451A; C201401210129A; C201401220341A; C201401231209A; C201401261039A; C201401300446A; C201402230216A; C201402231654A; C201402231700A; C201402240119A; C201403070557A; C201403161115A; C201403281437A; C201403281454A; C201404250841A; C201405020746A; C201405131005A; C201405180058A; C201405180246A; C201405180638A; C201406062306A; C201406081108A; C201406091119A; C201406291552A; C201406291715A; C201406291824A; C201407041130A; C201407101732A; C201407212144A; C201408141846A; C201408271631A; C201409280623A; C201410051716A; C201410192047A; C201410201315A; C201410240452A; C201410280044A; C201410280315A; C201411051813A; C201411240417A;
    Type: Dataset
    Format: text/tab-separated-values, 42372 data points
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  • 5
    Publication Date: 2024-04-10
    Description: The main objective of cruise POS524 to the Grimsey Vent Field (GVF), to the North of Iceland, was to study the suitability of electromagnetic (EM) systems for the characterization of an active hydrothermal system. As part of the EM measurements, a Microcat CTD sensor (Seabird) was attached to the mobile EM transmitter (MARTEMIS system), which was operated at an altitude of 5 - 10m above the seafloor. CTD measurements were collected alongside the EM measurements to serve as indicators for hydrothermal activity. CTD measurements with the Microcat CTD Sensor recorded conductivity [mS/cm], temperature [°C] and pressure [dbar] at a sampling rate of 4s, from which sound velocity [m/s] and salinity [psu] were derived using standard formulas (Chen and Millero formula; UNESCO Technical papers in Marine Science #44). Measurements were taken along profiles with a total length of about 18.5km crossing the GVF and surrounding areas during 24h of the 2nd deployment of the MARTEMIS system (station POS524_22-1) between 13.6.2018 6:00h - 14.6.2018 6:00h (UTC). The data are stored in an xls-file. Please note that on-deck measurements were cut from file. Details of the measurements and the cruise can be found in the cruise report (DOI 10.3289/CR_POS524)
    Keywords: Conductivity; CTD, underway; CTD data; CTD-UW; DATE/TIME; DEPTH, water; Electromagnetic induction/laser; EML; Grimsey Hydrothermal Field; LATITUDE; LONGITUDE; POS; POS524; POS524_22-1; Poseidon; Posidonia positioning system; Pressure, water; Salinity; Sound velocity in water; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 87220 data points
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  • 6
    Publication Date: 2022-05-25
    Description: © The Author(s), 2015. This is the author's version of the work and is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Chemical Geology 420 (2016): 114-126, doi: 10.1016/j.chemgeo.2015.11.006.
    Description: Here, we review the relationship between the distribution of modern-day seafloor hydrothermal activity along the global mid-ocean ridge crest and the nature of the mineral deposits being formed at those sites. Since the first discovery of seafloor venting, a sustained body of exploration has now prospected for one form of hydrothermal activity in particular – high temperature “black smoker” venting - along 〉30% of the global mid ocean ridge crest. While that still leaves most of that ~60,000km continuous network to be explored, some important trends have already emerged. First, it is now known that submarine venting can occur along all mid-ocean ridges, regardless of spreading rate, and in all ocean basins. Further, to a first approximation, the abundance of currently active venting, as deduced from water column plume signals, can be scaled linearly with seafloor spreading rate (a simple proxy for magmatic heat-flux). What can also be recognized, however, is that there is an “excess” of high temperature venting along slow and ultra-slow spreading ridges when compared to what was originally predicted from seafloor spreading / magmatic heat-budget models. An examination of hydrothermal systems tracked to source on the slow spreading Mid Atlantic Ridge reveals that no more than half of the sites responsible for the “black smoker” plume signals observed in the overlying water column are associated with magmatic systems comparable to those known from fast- spreading ridges. The other half of all currently known active high-temperature submarine systems on the Mid-Atlantic Ridge are hosted under tectonic control. These systems appear both to be longer-lived than, and to give rise to much larger sulfide deposits than, their magmatic counterparts - presumably as a result of sustained fluid flow. A majority of these tectonic-hosted systems also involve water-rock interaction with ultramafic sources. Importantly, from a mineral resource perspective, this subset of tectonic-hosted vent-sites also represents the only actively-forming seafloor massive sulfide deposits on mid-ocean ridges that exhibit high concentrations of Cu and Au in their surface samples (〉10wt.% average Cu content and 〉3ppm average Au). Along ultraslow-spreading ridges, first detailed examinations of hydrothermally active 74 sites suggest that sulfide deposit formation at those sites may depart even further from the spreading-rate model than slow-spreading ridges do. Hydrothermal plume distributions along ultraslow ridges follow the same (~50:50) distribution of “black smoker” plume signals between magmatic and tectonics settings as the slow spreading MAR. However, the first three “black smoker” sites tracked to source on any ultra-slow ridges have all revealed high temperature vent-sites that host large polymetallic sulfide deposits in both magmatic as well as tectonic settings. Further, deposits in both types of setting have now been revealed to exhibit moderate to high concentrations of Cu and Au, respectively. An important implication is that ultra- slow ridges may represent the strongest mineral resource potential for the global ridge crest, despite being host to the lowest magmatic heat budget.
    Description: Preparation of this review has benefited from research support to CRG, SP and MDH from the Woods Hole Oceanographic Institution, USA, from GEOMAR and the Helmholtz Foundation, Germany and from NSERC, Canada. The opportunity to discuss ideas and bring together our different perspectives - from water column geochemistry and seafloor massive sulfide studies - was facilitated by a Research Award from the Alexander von Humboldt Foundation to CRG.
    Description: 2016-11-14
    Keywords: Hydrothermal activity ; Seafloor massive sulfides ; Mid-ocean ridges ; Exploration ; Copper ; Gold
    Repository Name: Woods Hole Open Access Server
    Type: Preprint
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  • 7
    Publication Date: 2022-05-25
    Description: Author Posting. © American Geophysical Union, 2013. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Geochemistry, Geophysics, Geosystems 14 (2013); 2084–2099, doi:10.1002/ggge.20133.
    Description: Forty-nine hydrothermal sulfide-sulfate rock samples from the Endeavour Segment of the Juan de Fuca Ridge, northeastern Pacific Ocean, were dated by measuring the decay of 226Ra (half-life of 1600 years) in hydrothermal barite to provide a history of hydrothermal venting at the site over the past 6000 years. This dating method is effective for samples ranging in age from ∼200 to 20,000 years old and effectively bridges an age gap between shorter- and longer-lived U-series dating techniques for hydrothermal deposits. Results show that hydrothermal venting at the active High Rise, Sasquatch, and Main Endeavour fields began at least 850, 1450, and 2300 years ago, respectively. Barite ages of other inactive deposits on the axial valley floor are between ∼1200 and ∼2200 years old, indicating past widespread hydrothermal venting outside of the currently active vent fields. Samples from the half-graben on the eastern slope of the axial valley range in age from ∼1700 to ∼2925 years, and a single sample from outside the axial valley, near the westernmost valley fault scarp is ∼5850 ± 205 years old. The spatial relationship between hydrothermal venting and normal faulting suggests a temporal relationship, with progressive younging of sulfide deposits from the edges of the axial valley toward the center of the rift. These relationships are consistent with the inward migration of normal faulting toward the center of the valley over time and a minimum age of onset of hydrothermal activity in this region of 5850 years.
    Description: This work was supported by a NSERC PGS scholarship and SEG Canada Foundation Student Research grant to J. W. Jamieson, NSERC Discovery grant to M. D. Hannington, NSF Ocean Sciences grant OCE-0732661 to J. F. Holden, and NSF grant OCE-1038135 to M. K. Tivey. D. A. Clague and the MBARI cruise were supported by a grant to MBARI from the David and Lucile Packard Foundation.
    Description: 2014-01-08
    Keywords: Hydrothermal ; Sulphide ; Geochronology ; Endeavour
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
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  • 8
    Publication Date: 2022-05-25
    Description: Author Posting. © The Author(s), 2015. This is the author's version of the work. It is posted here by permission of Elsevier for personal use, not for redistribution. The definitive version was published in Geochimica et Cosmochimica Acta 173 (2016): 64-85, doi:10.1016/j.gca.2015.10.021.
    Description: Hydrothermal vent deposits form on the seafloor as a result of cooling and mixing of hot hydrothermal fluids with cold seawater. Amongst the major sulfide and sulfate minerals that are preserved at vent sites, barite (BaSO4) is unique because it requires the direct mixing of Ba-rich hydrothermal fluid with sulfate-rich seawater in order for precipitation to occur. Because of its extremely low solubility, barite crystals preserve geochemical fingerprints associated with conditions of formation. Here, we present data from petrographic and geochemical analyses of hydrothermal barite from the Endeavour Segment of the Juan de Fuca Ridge, northeast Pacific Ocean, in order to determine the physical and chemical conditions under which barite precipitates within seafloor hydrothermal vent systems. Petrographic analyses of 22 barite-rich samples show a range of barite crystal morphologies: dendritic and acicular barite forms near the exterior vent walls, whereas larger bladed and tabular crystals occur within the interior of chimneys. A two component mixing model based on Sr concentrations and 87Sr/86Sr of both seawater and hydrothermal fluid, combined with 87Sr/86Sr data from whole rock and laser-ablation ICP-MS analyses of barite crystals indicate that barite precipitates from mixtures containing as low as 17% and as high as 88% hydrothermal fluid component, relative to seawater. Geochemical modelling of the relationship between aqueous species concentrations and degree of fluid mixing indicates that Ba2+ availability is the dominant control on mineral saturation. Observations combined with model results support that dendritic barite forms from fluids of less than 40% hydrothermal component and with a saturation index greater than ~0.6, whereas more euhedral crystals form at lower levels of supersaturation associated with greater contributions of hydrothermal fluid. Fluid inclusions within barite indicate formation temperatures of between ~120 and 240°C during barite crystallization. The comparison of fluid inclusion formation temperatures to modelled mixing temperatures indicates that conductive cooling of the vent fluid accounts for 60 – 120°C reduction in fluid temperature. Strontium zonation within individual barite crystals records fluctuations in the amount of conductive cooling within chimney walls that may result from cyclical oscillations in hydrothermal fluid flux. Barite chemistry and morphology can be used as a reliable indicator for past conditions of mineralization within both extinct seafloor hydrothermal deposits and ancient land-based volcanogenic massive sulfide deposits.
    Description: This work was supported by an NSERC PGS scholarship to JWJ and NSERC Discovery Grant to MDH. MKT acknowledges funding from NSF OCE- 1130019. DAB acknowledges funding from NSF OCE-0731947 and the Joint Institute for the Study of the Atmosphere and Ocean (JISAO) under NOAA Cooperative Agreement NA10OAR4320148.
    Repository Name: Woods Hole Open Access Server
    Type: Preprint
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  • 9
    Publication Date: 2022-05-25
    Description: © The Author(s), 2017. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Earth's Future 5 (2017): 655–658, doi:10.1002/2017EF000605.
    Description: As land-based mineral resources become increasingly difficult and expensive to acquire, the potential for mining resources from the deep seafloor has become widely discussed and debated. Exploration leases are being granted, and technologies are under development. However, the quantity and quality of the resources are uncertain, and many worry about risks to vulnerable deep-sea ecosystems. Deep-sea mining has become part of the discussion of the United Nations Sustainable Development Goals. In this article we provide a summary of benefits, costs, and uncertainties that surround this potentially attractive but contentious topic.
    Description: Andrew W. Mellon Foundation; U.S. National Science Foundation Grant Number: 1558904
    Keywords: Deep-sea mining ; Environmental impacts ; Manganese nodules ; Seafloor massive sulfides ; Sustainable development
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 10
    Publication Date: 2022-05-26
    Description: Slides from session "Should We Mine the Seafloor?" presented at the American Association for the Advancement of Science (AAAS) 2017 Annual Meeting, Boston, MA, U.S.A. February 16-20, 2017
    Keywords: Copper ; Ecosystem services ; Resources ; Seafloor massive sulfides ; Uncertainty ; Manganese nodules ; Mining ; Supply ; Demand
    Repository Name: Woods Hole Open Access Server
    Type: Presentation
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