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On November 9, 2021 at 12:53:40 PM CST, Claire Herbert:
Added resource L. Jacquemot- Arctic Change 2020 to BaySys Conference Posters & Presentations
              
    
          
          
        
        
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            11   "PublicationYear": "2021", 11   "PublicationYear": "2021",
            12   "Publisher": "BaySys", 12   "Publisher": "BaySys",
            13   "ResourceType": "presentations", 13   "ResourceType": "presentations",
            14   "Rights": "Creative Commons Attribution 4.0 International", 14   "Rights": "Creative Commons Attribution 4.0 International",
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            21   "descriptionType": "Abstract", 21   "descriptionType": "Abstract",
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            27   "groups": [ 27   "groups": [
            28     { 28     {
            29       "description": "The cryosphere encompasses all the parts of the  29       "description": "The cryosphere encompasses all the parts of the 
            30 Earth system where water is in solid form, including ice sheets, ice  30 Earth system where water is in solid form, including ice sheets, ice 
            31 shelves, glaciers, snow cover, permafrost (frozen ground), sea ice,  31 shelves, glaciers, snow cover, permafrost (frozen ground), sea ice, 
            32 and river and lake ice. The cryosphere exerts an important influence  32 and river and lake ice. The cryosphere exerts an important influence 
            33 on Earth\u2019s climate. Image and description from  33 on Earth\u2019s climate. Image and description from 
            34 https://climate.copernicus.eu.", 34 https://climate.copernicus.eu.",
            35       "display_name": "Cryosphere", 35       "display_name": "Cryosphere",
            36       "id": "3707ff10-6424-4858-9ec9-7d67b38831b3", 36       "id": "3707ff10-6424-4858-9ec9-7d67b38831b3",
            37       "image_display_url":  37       "image_display_url": 
            38 loads/group/2021-11-01-152857.585996C3SindicatorscryosphereFig10.png", 38 loads/group/2021-11-01-152857.585996C3SindicatorscryosphereFig10.png",
            39       "name": "cryosphere", 39       "name": "cryosphere",
            40       "title": "Cryosphere" 40       "title": "Cryosphere"
            41     }, 41     },
            42     { 42     {
            43       "description": "Female Daphnia magna carrying a resting egg  43       "description": "Female Daphnia magna carrying a resting egg 
            44 (\"ephippium\"). The black ephippium is part of the carapace and  44 (\"ephippium\"). The black ephippium is part of the carapace and 
            45 contains usually two sexual eggs. Photo by Dieter Ebert, Basel,  45 contains usually two sexual eggs. Photo by Dieter Ebert, Basel, 
            46 Switzerland. \r\nCC BY-SA 4.0 Licence\r\n", 46 Switzerland. \r\nCC BY-SA 4.0 Licence\r\n",
            47       "display_name": "Marine", 47       "display_name": "Marine",
            48       "id": "98238b1c-5be8-41ad-8c6e-74cdc4f5f369", 48       "id": "98238b1c-5be8-41ad-8c6e-74cdc4f5f369",
            49       "image_display_url":  49       "image_display_url": 
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            51       "name": "marine", 51       "name": "marine",
            52       "title": "Marine" 52       "title": "Marine"
            53     } 53     }
            54   ], 54   ],
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            56   "isopen": false, 56   "isopen": false,
            57   "keywords": "Albedo,Climate change,Hudson Bay,Hydrology,James  57   "keywords": "Albedo,Climate change,Hudson Bay,Hydrology,James 
            58 Bay,Modeling,Nutrients,Ocean currents,Primary  58 Bay,Modeling,Nutrients,Ocean currents,Primary 
            59 production,Rivers,Satellite imagery,Sea ice,Sediments", 59 production,Rivers,Satellite imagery,Sea ice,Sediments",
            60   "language": "", 60   "language": "",
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            66   "metadata_created": "2021-11-05T22:27:09.195631", 66   "metadata_created": "2021-11-05T22:27:09.195631",
            n 67   "metadata_modified": "2021-11-09T18:52:36.237809", n 67   "metadata_modified": "2021-11-09T18:53:40.001008",
            68   "name": "baysys-conference-posters-presentations", 68   "name": "baysys-conference-posters-presentations",
            69   "notes": "A collection of BaySys project conference posters and  69   "notes": "A collection of BaySys project conference posters and 
            70 presentations. These posters and presentations we delivered at  70 presentations. These posters and presentations we delivered at 
            71 national and international conferences by project HQP and grad  71 national and international conferences by project HQP and grad 
            72 students between 2016-2020.", 72 students between 2016-2020.",
            n 73   "num_resources": 10, n 73   "num_resources": 11,
            74   "num_tags": 13, 74   "num_tags": 13,
            75   "organization": { 75   "organization": {
            76     "approval_status": "approved", 76     "approval_status": "approved",
            77     "created": "2017-07-21T13:15:49.935872", 77     "created": "2017-07-21T13:15:49.935872",
            78     "description": "The Centre for Earth Observation Science (CEOS)  78     "description": "The Centre for Earth Observation Science (CEOS) 
            79 was established in 1994 with a mandate to research, preserve and  79 was established in 1994 with a mandate to research, preserve and 
            80 communicate knowledge of Earth system processes using the technologies  80 communicate knowledge of Earth system processes using the technologies 
            81 of Earth Observation Science. Research is multidisciplinary and  81 of Earth Observation Science. Research is multidisciplinary and 
            82 collaborative seeking to understand the complex interrelationships  82 collaborative seeking to understand the complex interrelationships 
            83 between elements of Earth systems, and how these systems will likely  83 between elements of Earth systems, and how these systems will likely 
            84 respond to climate change. Although researchers have worked in many  84 respond to climate change. Although researchers have worked in many 
            85 regions, the Arctic marine system has always been a unifying focus of  85 regions, the Arctic marine system has always been a unifying focus of 
            86 activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate  86 activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate 
            87 Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre  87 Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre 
            88 (ARC, Aarhus, Denmark) established the Arctic Science Partnership,  88 (ARC, Aarhus, Denmark) established the Arctic Science Partnership, 
            89 thereby integrating academic and research initiatives.\r\n\r\nAreas of  89 thereby integrating academic and research initiatives.\r\n\r\nAreas of 
            90 existing research activity are divided among key themes:\r\n\r\nArctic  90 existing research activity are divided among key themes:\r\n\r\nArctic 
            91 Anthropology/Paleoclimatology: LiDAR scanning and digital site  91 Anthropology/Paleoclimatology: LiDAR scanning and digital site 
            92 preservation, archaeo-geophysics, permafrost degredation, lithic  92 preservation, archaeo-geophysics, permafrost degredation, lithic 
            93 morphometrics, zooarchaeology, proxy studies, paleodistribution of sea  93 morphometrics, zooarchaeology, proxy studies, paleodistribution of sea 
            94 ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture,  94 ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, 
            95 ethnographic analogy, traditional knowledge, climate change and  95 ethnographic analogy, traditional knowledge, climate change and 
            96 northern heritage resource management.\r\n\r\nAtmospheric  96 northern heritage resource management.\r\n\r\nAtmospheric 
            97 Studies/Meteorology: Boundary layer, precipitation, clouds, storms and  97 Studies/Meteorology: Boundary layer, precipitation, clouds, storms and 
            98 extreme weather, circulation, eddy correlations, polar vortex,  98 extreme weather, circulation, eddy correlations, polar vortex, 
            99 climate, teleconnections, geophysical fluid dynamics, flux and energy  99 climate, teleconnections, geophysical fluid dynamics, flux and energy 
            100 budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice  100 budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice 
            101 albedo feedback, cloud radiative forcing, pCO2.  101 albedo feedback, cloud radiative forcing, pCO2. 
            102 \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles,  102 \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, 
            103 Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace  103 Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace 
            104 metals, minerals, hydrocarbons, brine processes, otolith  104 metals, minerals, hydrocarbons, brine processes, otolith 
            105 microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury,  105 microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, 
            106 trace metals, PAHs, source, transport, transformation, pathways,  106 trace metals, PAHs, source, transport, transformation, pathways, 
            107 bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth  107 bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth 
            108 Observation Science: Active and passive microwave, LiDAR, EM  108 Observation Science: Active and passive microwave, LiDAR, EM 
            109 induction, spatial-temporal analysis, forward and inverse scattering  109 induction, spatial-temporal analysis, forward and inverse scattering 
            110 models, complex permittivity, ocean colour, ocean surface roughness,  110 models, complex permittivity, ocean colour, ocean surface roughness, 
            111 NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology:  111 NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: 
            112 Biophysical processes, primary production; ice algae, ice  112 Biophysical processes, primary production; ice algae, ice 
            113 microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland  113 microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland 
            114 Lakes and Waters: Hydrologic connectivity, watershed systems, sediment  114 Lakes and Waters: Hydrologic connectivity, watershed systems, sediment 
            115 transport, nutrient transport, contaminants, landscape processes,  115 transport, nutrient transport, contaminants, landscape processes, 
            116 remote sensing, freshwater-marine coupling. Marine Mammals: Seals,  116 remote sensing, freshwater-marine coupling. Marine Mammals: Seals, 
            117 whales, habitat, conservation, satellite telemetry, distribution,  117 whales, habitat, conservation, satellite telemetry, distribution, 
            118 population studies, prey behaviour, bioacoustics.\r\n\r\nModelling:  118 population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: 
            119 Simulation of sea ice and oceanic regional processes, Nucleus for  119 Simulation of sea ice and oceanic regional processes, Nucleus for 
            120 European Modelling of the Ocean (NEMO), ice-ocean modelling and  120 European Modelling of the Ocean (NEMO), ice-ocean modelling and 
            121 interactions, hind cast simulations and projections for sea ice state  121 interactions, hind cast simulations and projections for sea ice state 
            122 and ocean variables based on CMIP5 scenarios and MIROC5 forcing,  122 and ocean variables based on CMIP5 scenarios and MIROC5 forcing, 
            123 validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and  123 validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and 
            124 out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy  124 out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy 
            125 correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic  125 correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic 
            126 processes, extreme ice features and hazards, snow, ridges,  126 processes, extreme ice features and hazards, snow, ridges, 
            127 polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures,  127 polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, 
            128 Inuit, Inuvialuit, oral history, toponomy, mobility and settlement,  128 Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, 
            129 hunting, food security, sea ice use, community-based research,  129 hunting, food security, sea ice use, community-based research, 
            130 community-based monitoring, two ways of knowing.", 130 community-based monitoring, two ways of knowing.",
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            164       "description": "The Nelson/Hayes River (NHR), located in the  164       "description": "The Nelson/Hayes River (NHR), located in the 
            165 southwestern edge of the Hudson Bay (HB) (Canada) (Fig. 1) contributed  165 southwestern edge of the Hudson Bay (HB) (Canada) (Fig. 1) contributed 
            166 approximately 47% of the mean annual discharge of the western HB  166 approximately 47% of the mean annual discharge of the western HB 
            167 during the period 1964-2013 (D\u00e9ry et al, 2016). This voluminous  167 during the period 1964-2013 (D\u00e9ry et al, 2016). This voluminous 
            168 freshwater input controls the ocean processes in the south western to  168 freshwater input controls the ocean processes in the south western to 
            169 southern HB. Moreover hydroelectric regulation of the Nelson River has  169 southern HB. Moreover hydroelectric regulation of the Nelson River has 
            170 modified the discharge resulting in an increased winter discharge and  170 modified the discharge resulting in an increased winter discharge and 
            171 flattened summer hydrograph . This called for a need to investigate  171 flattened summer hydrograph . This called for a need to investigate 
            172 the revised seasonal signals of the river runoff in a spatio-temporal  172 the revised seasonal signals of the river runoff in a spatio-temporal 
            173 scale. Ocean color remote sensing approach provides a convenient way  173 scale. Ocean color remote sensing approach provides a convenient way 
            174 to study the mixed layer processes within the photic depth limit  174 to study the mixed layer processes within the photic depth limit 
            175 (Wozniak et al, 2010). This study has attempted to detect the NHR  175 (Wozniak et al, 2010). This study has attempted to detect the NHR 
            176 plume dispersion limit using color dissolved organic matter (CDOM) as  176 plume dispersion limit using color dissolved organic matter (CDOM) as 
            177 the ocean color proxy for terrestrial discharge, (Fichot et al,  177 the ocean color proxy for terrestrial discharge, (Fichot et al, 
            178 2013).\r\n", 178 2013).\r\n",
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            187 dispersion extent in hudson bay (canada)", 187 dispersion extent in hudson bay (canada)",
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            195 ource/913f0783-1d97-4e18-b087-554732049a23/download/basu_igs2019.pdf", 195 ource/913f0783-1d97-4e18-b087-554732049a23/download/basu_igs2019.pdf",
            196       "url_type": "upload" 196       "url_type": "upload"
            197     }, 197     },
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            201       "created": "2021-11-05T22:34:50.364874", 201       "created": "2021-11-05T22:34:50.364874",
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            204       "description": "The aim of this study is to examine the role of  204       "description": "The aim of this study is to examine the role of 
            205 regulated rivers on bottom ice algal communities and phytoplankton by  205 regulated rivers on bottom ice algal communities and phytoplankton by 
            206 investigating the following objectives along a salinity gradient: 1.  206 investigating the following objectives along a salinity gradient: 1. 
            207 Examine the influence of the river plume on ice algal and  207 Examine the influence of the river plume on ice algal and 
            208 phytoplankton production from the estuary to the marine system 2.  208 phytoplankton production from the estuary to the marine system 2. 
            209 Examine the variability in ice algal biomass and nutrient availability  209 Examine the variability in ice algal biomass and nutrient availability 
            210 3. Investigate the influence of the river output on taxonomic  210 3. Investigate the influence of the river output on taxonomic 
            211 composition.", 211 composition.",
            212       "format": "PDF", 212       "format": "PDF",
            213       "hash": "", 213       "hash": "",
            214       "id": "aeb6b641-7a8e-40f4-abb4-509905234bc9", 214       "id": "aeb6b641-7a8e-40f4-abb4-509905234bc9",
            215       "last_modified": "2021-11-06T18:48:54.700288", 215       "last_modified": "2021-11-06T18:48:54.700288",
            216       "metadata_modified": "2021-11-06T18:55:33.074858", 216       "metadata_modified": "2021-11-06T18:55:33.074858",
            217       "mimetype": "application/pdf", 217       "mimetype": "application/pdf",
            218       "mimetype_inner": null, 218       "mimetype_inner": null,
            219       "name": "Response of biological communities to a seasonal  219       "name": "Response of biological communities to a seasonal 
            220 freshwater gradient in southwestern Hudson Bay, Canada\t", 220 freshwater gradient in southwestern Hudson Bay, Canada\t",
            221       "package_id": "51d3a499-75bd-4662-97e3-0d31d9fcb8dc", 221       "package_id": "51d3a499-75bd-4662-97e3-0d31d9fcb8dc",
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            227       "url":  227       "url": 
            228 rce/aeb6b641-7a8e-40f4-abb4-509905234bc9/download/dalman_igs2019.pdf", 228 rce/aeb6b641-7a8e-40f4-abb4-509905234bc9/download/dalman_igs2019.pdf",
            229       "url_type": "upload" 229       "url_type": "upload"
            230     }, 230     },
            231     { 231     {
            232       "cache_last_updated": null, 232       "cache_last_updated": null,
            233       "cache_url": null, 233       "cache_url": null,
            234       "created": "2021-11-05T22:35:37.418474", 234       "created": "2021-11-05T22:35:37.418474",
            235       "datastore_active": false, 235       "datastore_active": false,
            236       "datastore_contains_all_records_of_source_file": false, 236       "datastore_contains_all_records_of_source_file": false,
            237       "description": "**Motivation** \r\n\r\n- Sediments are  237       "description": "**Motivation** \r\n\r\n- Sediments are 
            238 hypothesized to enhance the rate of sea ice surface melt by decreasing  238 hypothesized to enhance the rate of sea ice surface melt by decreasing 
            239 surface albedo \r\n\r\n- Enhanced surface melt influences the sea ice  239 surface albedo \r\n\r\n- Enhanced surface melt influences the sea ice 
            240 surface topography/roughness, as well as increasing surface wetness  240 surface topography/roughness, as well as increasing surface wetness 
            241 \r\n\r\n- As a result, sediment presence on the ice surface could  241 \r\n\r\n- As a result, sediment presence on the ice surface could 
            242 impact both optical and radiometric satellite-borne measurements  242 impact both optical and radiometric satellite-borne measurements 
            243 (through changes in albedo and surface wetness, respectively)\r\n", 243 (through changes in albedo and surface wetness, respectively)\r\n",
            244       "format": "PDF", 244       "format": "PDF",
            245       "hash": "", 245       "hash": "",
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            247       "last_modified": "2021-11-06T18:55:33.045272", 247       "last_modified": "2021-11-06T18:55:33.045272",
            248       "metadata_modified": "2021-11-06T18:57:48.827802", 248       "metadata_modified": "2021-11-06T18:57:48.827802",
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            250       "mimetype_inner": null, 250       "mimetype_inner": null,
            251       "name": "Sediments and sea ice deformation: UAV observations of  251       "name": "Sediments and sea ice deformation: UAV observations of 
            252 sea ice topography evolution throughout the melt season", 252 sea ice topography evolution throughout the melt season",
            253       "package_id": "51d3a499-75bd-4662-97e3-0d31d9fcb8dc", 253       "package_id": "51d3a499-75bd-4662-97e3-0d31d9fcb8dc",
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            260 ce/dd21f17a-61f3-47fc-82fa-1f3478ffc565/download/harasyn_igs2019.pdf", 260 ce/dd21f17a-61f3-47fc-82fa-1f3478ffc565/download/harasyn_igs2019.pdf",
            261       "url_type": "upload" 261       "url_type": "upload"
            262     }, 262     },
            263     { 263     {
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            266       "created": "2021-11-05T22:36:14.383206", 266       "created": "2021-11-05T22:36:14.383206",
            267       "datastore_active": false, 267       "datastore_active": false,
            268       "datastore_contains_all_records_of_source_file": false, 268       "datastore_contains_all_records_of_source_file": false,
            269       "description": "Diel vertical migration (DVM) of zooplanktonis a  269       "description": "Diel vertical migration (DVM) of zooplanktonis a 
            270 process of synchronized movement of the organisms from the mesopelagic  270 process of synchronized movement of the organisms from the mesopelagic 
            271 zone up to the epipelagic zone at night and returning back during the  271 zone up to the epipelagic zone at night and returning back during the 
            272 day. DVM is considered to be the largest synchronized diel movement of  272 day. DVM is considered to be the largest synchronized diel movement of 
            273 biomasson the planet. It also acts as a biological pump in  273 biomasson the planet. It also acts as a biological pump in 
            274 transferring organic carbon from the surface of the ocean to  274 transferring organic carbon from the surface of the ocean to 
            275 depth.\r\n", 275 depth.\r\n",
            276       "format": "PDF", 276       "format": "PDF",
            277       "hash": "", 277       "hash": "",
            278       "id": "52a5859f-0bdd-4e8b-890c-7deea173f460", 278       "id": "52a5859f-0bdd-4e8b-890c-7deea173f460",
            279       "last_modified": "2021-11-06T18:57:48.802293", 279       "last_modified": "2021-11-06T18:57:48.802293",
            280       "metadata_modified": "2021-11-06T18:59:45.896724", 280       "metadata_modified": "2021-11-06T18:59:45.896724",
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            282       "mimetype_inner": null, 282       "mimetype_inner": null,
            283       "name": "Impact of ice covers on diel vertical migration of  283       "name": "Impact of ice covers on diel vertical migration of 
            284 zooplankton in the Arctic marine environment", 284 zooplankton in the Arctic marine environment",
            285       "package_id": "51d3a499-75bd-4662-97e3-0d31d9fcb8dc", 285       "package_id": "51d3a499-75bd-4662-97e3-0d31d9fcb8dc",
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            291       "url":  291       "url": 
            292 2a5859f-0bdd-4e8b-890c-7deea173f460/download/petrusevich_igs2019.pdf", 292 2a5859f-0bdd-4e8b-890c-7deea173f460/download/petrusevich_igs2019.pdf",
            293       "url_type": "upload" 293       "url_type": "upload"
            294     }, 294     },
            295     { 295     {
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            298       "created": "2021-11-06T14:15:22.791448", 298       "created": "2021-11-06T14:15:22.791448",
            299       "datastore_active": false, 299       "datastore_active": false,
            300       "datastore_contains_all_records_of_source_file": false, 300       "datastore_contains_all_records_of_source_file": false,
            301       "description": "Little information exists concerning the  301       "description": "Little information exists concerning the 
            302 riverine supply of inorganic nutrients and its consequences on primary  302 riverine supply of inorganic nutrients and its consequences on primary 
            303 production in the Hudson Bay system (HB), a large subarctic inland sea  303 production in the Hudson Bay system (HB), a large subarctic inland sea 
            304 that is impacted by rapid climate change and anthropogenic  304 that is impacted by rapid climate change and anthropogenic 
            305 disturbance. In order to provide a reference point by which future  305 disturbance. In order to provide a reference point by which future 
            306 changes can be evaluated, we estimated fluxes of nitrate (N),  306 changes can be evaluated, we estimated fluxes of nitrate (N), 
            307 phosphate (P) and silicate (Si) using contemporary and historical  307 phosphate (P) and silicate (Si) using contemporary and historical 
            308 nutrient data in conjunction with discharge rates generated by 3  308 nutrient data in conjunction with discharge rates generated by 3 
            309 different global climate models. Several key points can be  309 different global climate models. Several key points can be 
            310 highlighted. Firstly, the N:P and Si:N molar ratios of river nutrient  310 highlighted. Firstly, the N:P and Si:N molar ratios of river nutrient 
            311 fluxes exhibit large contrasts between different sectors of HB, which  311 fluxes exhibit large contrasts between different sectors of HB, which 
            312 is attributed to variable geological settings in the watersheds.  312 is attributed to variable geological settings in the watersheds. 
            313 Generally, low N:P and high Si:N ratios imply that river waters are  313 Generally, low N:P and high Si:N ratios imply that river waters are 
            314 characterized by a severe deficit of nitrate with respect to the needs  314 characterized by a severe deficit of nitrate with respect to the needs 
            315 of primary producers. Secondly, seasonality in nutrient concentrations  315 of primary producers. Secondly, seasonality in nutrient concentrations 
            316 and ratios were apparent in the sampled rivers at different times of  316 and ratios were apparent in the sampled rivers at different times of 
            317 years. While the regulation of river flow in the Nelson and La Grande  317 years. While the regulation of river flow in the Nelson and La Grande 
            318 rivers had no discernible impact on nutrient concentrations and  318 rivers had no discernible impact on nutrient concentrations and 
            319 ratios, it clearly shifted nutrient transports toward the winter when  319 ratios, it clearly shifted nutrient transports toward the winter when 
            320 biological activity in the estuaries is reduced. Thirdly, the  320 biological activity in the estuaries is reduced. Thirdly, the 
            321 southwestern rivers made the largest contributions of each nutrient  321 southwestern rivers made the largest contributions of each nutrient 
            322 flux to the total annual nutrient deliveries, with the modest  322 flux to the total annual nutrient deliveries, with the modest 
            323 contributions from the south and east rivers, and with the lowest  323 contributions from the south and east rivers, and with the lowest 
            324 contributions from the northwestern rivers. Finally, the combined  324 contributions from the northwestern rivers. Finally, the combined 
            325 nitrate input by all rivers was nearly two orders of magnitude (ca.  325 nitrate input by all rivers was nearly two orders of magnitude (ca. 
            326 2.0 \u00d7 10^10 g N) lower than the estimated vertical re-supply of  326 2.0 \u00d7 10^10 g N) lower than the estimated vertical re-supply of 
            327 nitrate to the surface during winter in offshore waters of HB (ca. 1.2  327 nitrate to the surface during winter in offshore waters of HB (ca. 1.2 
            328 \u00d7 10^12 g N). The potential contribution of river nutrients to  328 \u00d7 10^12 g N). The potential contribution of river nutrients to 
            329 new primary production is therefore small at HB scale but can be  329 new primary production is therefore small at HB scale but can be 
            330 significant locally.", 330 significant locally.",
            331       "format": "PDF", 331       "format": "PDF",
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            334       "last_modified": "2021-11-06T18:59:45.870129", 334       "last_modified": "2021-11-06T18:59:45.870129",
            335       "metadata_modified": "2021-11-06T19:02:38.993043", 335       "metadata_modified": "2021-11-06T19:02:38.993043",
            336       "mimetype": "application/pdf", 336       "mimetype": "application/pdf",
            337       "mimetype_inner": null, 337       "mimetype_inner": null,
            338       "name": "Nutrient inputs from subarctic rivers into the Hudson  338       "name": "Nutrient inputs from subarctic rivers into the Hudson 
            339 Bay system", 339 Bay system",
            340       "package_id": "51d3a499-75bd-4662-97e3-0d31d9fcb8dc", 340       "package_id": "51d3a499-75bd-4662-97e3-0d31d9fcb8dc",
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            349     }, 349     },
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            353       "created": "2021-11-06T17:33:15.579474", 353       "created": "2021-11-06T17:33:15.579474",
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            356       "description": "**Goals**\r\n\r\n- Present the first year-round  356       "description": "**Goals**\r\n\r\n- Present the first year-round 
            357 observations of the Hudson Strait inflow\r\n\r\n- Determine Hudson  357 observations of the Hudson Strait inflow\r\n\r\n- Determine Hudson 
            358 Strait inflow source waters\r\n\r\n- Estimate Hudson Strait inflow  358 Strait inflow source waters\r\n\r\n- Estimate Hudson Strait inflow 
            359 pathways within the Hudson Bay Complex\r\n", 359 pathways within the Hudson Bay Complex\r\n",
            360       "format": "PPTX", 360       "format": "PPTX",
            361       "hash": "", 361       "hash": "",
            362       "id": "8048394d-a741-4091-bab1-98ac0fe2d2b2", 362       "id": "8048394d-a741-4091-bab1-98ac0fe2d2b2",
            363       "last_modified": "2021-11-06T19:02:38.967743", 363       "last_modified": "2021-11-06T19:02:38.967743",
            364       "metadata_modified": "2021-11-09T18:47:20.345408", 364       "metadata_modified": "2021-11-09T18:47:20.345408",
            365       "mimetype":  365       "mimetype": 
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            367       "mimetype_inner": null, 367       "mimetype_inner": null,
            368       "name": "Hudson Strait Inflow: Structure and Variability", 368       "name": "Hudson Strait Inflow: Structure and Variability",
            369       "package_id": "51d3a499-75bd-4662-97e3-0d31d9fcb8dc", 369       "package_id": "51d3a499-75bd-4662-97e3-0d31d9fcb8dc",
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            376 /8048394d-a741-4091-bab1-98ac0fe2d2b2/download/ridenour_natasha.pptx", 376 /8048394d-a741-4091-bab1-98ac0fe2d2b2/download/ridenour_natasha.pptx",
            377       "url_type": "upload" 377       "url_type": "upload"
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