TRIATLAS_MS_8_observed_data_products

	A	B	C	D	E	F	G	H	I	J
1	MS8 (Month 12 - Lead UCM)
2	Description
3	List of observed data products including human social drivers that will be available to understand long-term ecosystem changes for all case study regions - only observational data and reanalyses (not model data - as agreed at CT2 breakout session 11.12.2019)
4	Means of verification
5	Table of available data products, and updated data portal.
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8		COMPLETED ON 30.05.2020 - - IÑIGO GÓMARA (i.gomara@ucm.es), BELÉN RODRÍGUEZ FONSECA (brfonsec@ucm.es), ROCÍO CASTAÑO PRIMO (rocio.primo@uib.no)
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10				VARIABLES
11				NBNB Candidate variables at present, final set tbc	Database name and scale	Type	Contact for PAIA request / data access	Location/extent sampled	Sampling period	Variables measured / Remarks
12		Southern Benguela System boundaries: 28 deg S to 27 deg. E, coastline to 500 m isobath, principal contact person Dr. Lynne Shannon (lynne.shannon@uct.ac.za)	GENERAL NOTE (FROM UCT) ON SOUTHERN BENGUELA OBSERVATIONS: there are (at least) three categories of data concerning the southern Benguela, one of the three focus regions of CT2 and, hence, WP7. For two of these three, access is not straightforward and needs to be handled with appropriate sensitivity: (I) The first are data that are freely available from the internet, such as the NCEP data and satellite-based surface Chl a observations. (II) The second are data that are available through SAEON, the South African Environmental Observation Network. This is an academic body established through UCT Department of Science and Technology, and administered by our National Research Foundation. SAEON seeks to coordinate and support long-term in-situ environmental observation systems. These are, e.g., temperature measurement at depth, nutrient measurements and plankton data. One can apply for data through PAIA requests (SA's Public Access to Information Act). We can assist in identifying the correct contact person, depending on the data set in question. (III) The third are time series of observations that are not available from SAEON, but only through DEFF (SA's Department of Environment, Forestry and Fisheries, newly established as a merger between part of the former Department of Environmental Affairs (DEA) and the former Department of Agriculture, Forestry and Fisheries (DAFF). Again, a PAIA request has to be completed (see, e.g., https://www.environment.gov.za/promotionaccess_informationact for guidance). And again, we can assist in identifying the correct contact person depending on the data set in question. There is no way whatsoever, that we (at UCT) can shortcut this process. DEFF (https://nationalgovernment.co.za/units/view/15/department-of-environment-forestry-and-fisheries-deff). SAEON (http://www.saeon.ac.za/). For cruise data research project policies apply (TRAFFIC/Meteor, etc.).
13			Biological	Plankton, micronekton, fish, top-predators	Meso-zooplankton Obs / System-scale	Meso-zooplankton	Dr Jenny Huggett (jhuggett@environment.gov.za), DEFF	Integrated (oblique hauls)	1987-2009	Density, dry weight, some biodiversity; Intermittently since (piggy-backed on pelagic fish resource surveys which changed from 2010)
14					Fish eggs / System-scale	Pelagic fish eggs	Dr Carl van der Lingen (CarlVDL@nda.agric.za; CarlVDL@daff.gov.za), DEFF	Upper layer: Egg pump	1987-2009	Intermittently since 2009
15					St Helena Bay Monitoring Line / Transects	SHBML	Dr Tarron Lamont (tarron.lamont@gmail.com); SAEON	Central west coast shelf (St Helena Bay): Inshore to shelf break	2000-2009	monthly: CTD (conductivity, temperature, and depth), some nutrients, some 02, some ADCP, meso-zooplankton
16					Sardine–Anchovy Recruitment Program / Transects	SARP-line	Dr Tarron Lamont; Dr Carl van der Lingen (see above), DEF	Southern West coast shelf: Off Cape Peninsula	since 1991	quarterly - CTD, some O2, some Chla, depth-integrated meso-zooplankton (abundance, dryweight), sardine & anchovy ELH stages
17					Meso-zoo obs / Tara stations	Meso-zooplankton	Lars Stemmann (stemmann@obs-vlfr.fr), Sorbonne Université	Benguela Current	year 2010	Zooplankton abundance, CTD-Rosette data at different location during 2010
18					St Helena Bay Monitoring Line Mezo-zoo / Transects	St Helena Box for Meso-zooplankton	Dr Jenny Huggett (jhuggett@environment.gov.za), DEFF	Central west coast shelf (St Helena Bay); Integrated (oblique hauls)	1950s-1969, 1987-present	total copepod abundance, partially species-disaggregated
19					TRAFFIC / Meteor M153 cruise	Meso-zooplankton	Dr Tim Dudeck (tim.dudeck@leibniz-zmt.de) ZMT	nBUS and sBUS; shelf to offshore	2019, 2021	zooplankton biomass, size; 0-200m; CTD data also available; 2021 planned cruise in September
20					GENUS and other cruises	Meso-zooplankton	Dr Tim Dudeck (tim.dudeck@leibniz-zmt.de) ZMT	nBUS and sBUS; shelf to offshore	2002, 2009, 2013,2014	samples not processed yet, but should be available by mid-2021; zooplankton biomass, size; 0-200m; CTD data also available
21			Biogeochemical	Oxygen, nutrients (please specify)	Argo Bio Floats from Coriolis	oxygen, chlorophyll, nitrate, pH, turbidity, backscaterring, cdom and more.	https://www.coriolis.eu.org/Data-Products/Data-Delivery/Argo-bio-floats-from-Coriolis	Open ocean near Southern Benguela	since 2014
22			Societal	number of jobs involved, number of people involved in different areas, setlements along the coast, poverty indicator, estimates of level of schooling, level of goverment funding support etc…	Composite indicators / Southern Cape	Personal disruption, population composition, poverty, labour forces structure, housing characteristics, retiree migration, urban sprawl, fishing reliance, and fishing engagement.	Dr. Astrid Jarre (ajarre@gmail.com), UCT	Intially, southern Cape region. Afterwads extended to Western Cape Province	2011-2020	Based on social social vulnerability indicators that NOAA created to support their IEAs, an approach which is now also being used in some countries in the ICES area. The indicators will be released from TRIATLAS CT2 before the end of the second reporting period (at least for southern cape)
23					Pelagic Fisheries data	Anchovy, sardine, redeye	Dr Carl van der Lingen (CarlVDL@nda.agric.za), DEFF	southern Benguela shelf	since 1987	biodiversity, some length distributions, some maturity data, few stomach contents
24					Demersal Fisheries data	Hakes, kingklip, monkfish, gurnard etc.	Dr Deon Durholtz (DeonD@daff.gov.za) and Dr Carl van der Lingen (CarlVDL@nda.agric.za), DEFF	southern Benguela shelf	since 1987	historic data available through SAEON
25					Linefish Fisheries data	Linefish	Dr Sven Kerwath (SvenK@daff.gov.za), DEFF	southern Benguela shelf, inshore		biodiversity, abundance estimates, some length distributions, some maturity data; historic data available through SAEON
26					Lobster Fisheries data	WC Rock lobster	Dr Andy Cockroft (AndrewC@daff.gov.za), DEFF	southern Benguela shelf, inshore		abundance, length distributions, maturity
27					Squid Fisheries data	Chokka squid	DEFF	southern Benguela shelf, inshore
28					Commercial Fisheries data	Catch: All commercial resources	Dr Carl van der Lingen (CarlVDL@nda.agric.za)	South Africa	since 1950s
29					Fisheries data	Effort: All commercial fleets	Dr Carl van der Lingen (CarlVDL@nda.agric.za)	South Africa
30					SEA AROUND US	Fish	http://www.seaaroundus.org/	EEZ South Africa	since 1950	Reported and reconstructed catch
31					FAO Southeast Atlantic capture	total catch	http://www.fao.org/fishery/statistics/seatl-capture-production/en	Southeast Atlantic	since 1975	total catch by species
32					Whales / Top-predator surveys	Whales	Dr Steve Kirkman (skirkman@deat.gov.za), DEFF	South Africa
33					Seals / Top-predator surveys	Seals	Dr Steve Kirkman (skirkman@deat.gov.za), DEFF	South Africa	since 1930?
34					Seabirds / Top-predator surveys	Seabirds	Dr Azianewi Makhado (amakhado@environment.gov.za), DEFF	South Africa	since 1960
35			Physical	Temperature, salinity, velocity, Upwelling, stratification, mesoscale variability	Satellite data / System-scale	Remote sensing/satellite imagery	Dr Tarron Lamont (tarron.lamont@gmail.com), DEEF	Sea surface	since 1990s	SST, ocean colour, derived indices of productivity
36					Conductivity, temperature, and depth / System-scale	CTD-data	Dr Tarron Lamont (tarron.lamont@gmail.com), DEEF	Surface to bottom	since 1987	spring, summer, autumn (piggy-backed on fisheries resource surveys), some nutrient, some O2, some chla
37					Sta Helena Bay Moorings	inshore: HABs, O2	Dr. Grant Pitcher (GrantP@daff.gov.za), DEFF	inshore: HABs, O2 St Helena Bay
38					St. Francis Bay Moorings		SAEON	St Francis Bay
39					Algoa Bay Moorings		SAEON	Algoa Bay
40					ASCA Moorings	ASCA (Agulhas system climate array)	SAEON	East London (= eastern Boundary of southern Benguela!)
41					TRAFFIC / Meteor M153 cruise	CTD-data	Dr Tim Dudeck (tim.dudeck@leibniz-zmt.de) ZMT	nBUS and sBUS; shelf to offshore	2019, 2021	oxygen, temperature, conductivity, light, turbidity, chla; 2021 planned cruise in September
42					GENUS and other cruises	CTD-data	Dr Tim Dudeck (tim.dudeck@leibniz-zmt.de) ZMT	nBUS and sBUS; shelf to offshore	2002, 2009, 2013,2014	oxygen, temperature, conductivity, light, turbidity, chla
43		NE Brazil, principal contact person Dr. Thierry Frédou (thierry.fredou@ufrpe.br) [data from project covered roughly 3.5ºS to 9.5ºS and 32ºW to 37ºW]	GENERAL NOTE (FROM PRINCIPAL CONTACT PERSON) ON NE BRAZIL OBSERVATIONS:The data available at this point are from projects, so they will have their own data policy. ICCAT are free to use with a proper acknowledgment. There is no governmental data included in the TRIATLAS project so far.
44			Biological (check also biogeochemical)	Plankton, micronekton, fish, top-predators	Survey data	fish biomass	Abracos Project (Arnaud Bertrand; arnaud.bertrand@ird.fr) Camadas finas Project (Ralf Schwamborn rs@ufpe.br)	Northeast Brazilian Coast	ABRACOS: 2015 and 2017	surveys from ABRACOS project bottom trawling and pelagic and mesopelagic trawling and plankton net sampling
45			Biological (check also biogeochemical)	Seabird foraging behaviour	Project MAFALDA: Frenado de Noronha	Seabird GPS tracking	Sophie Bertrand, sophie.bertrand@ird.fr	Northeast Brazil, Oceanic achipelago of Fernando de Noronha	Since 2015	GPS tracks, depth recorder, blood and feather samples for mercury and stable isotopes analysis
46			Biogeochemical	Oxygen, nutrients (please specify)	Abracos Project Survey* (also biological and physical variables!)	Platform and sea mounts	Abracos Project (Arnaud.Bertrand@ird.fr)	Northeast Brazilian Coast	2015 and 2017	surveys from ABRACOS project Bertrand A. 2015. ABRACOS cruise, RV Antea, https://doi.org/10.17600/15005600 -Hydrological stations taking profiles with CTD-Rosette (+ O2 sensors, chlorophyll, PAR, transmissometer) and samples taken at 10 depth levels. -Parameters sampled at all depths or at specific depths, depending on the case: nutrients, chlorophyll, pigments, phytoplankton, bacteria, oxygen, salinity, POM). -Phytoplankton et zooplankton samples taken (phytoplankton, WP2 and Bongo nets at 65, 120, 300 and 500 m). -Continuous acoustic measurements using EK 60 multifrequency echosounder (38, 70, 120 and 200 kHz). -Continuous monitoring of surface temperature and salinity using TSG. -Continuous current measurements with shipboard ADCP (75 kHz). -Sampling of pelagic communities using Micronekton and Mesopelagic trawls. -Sampling of demersal-benthic stocks using a bottom trawl. -Sediment samples taken with Van Veen grab. -Video images with Go Pro camera set up on various types of mounts: CTD, trawls, ship's deck, etc. Bertrand A. 2017. ABRACOS 2 cruise, RV Antea, https://doi.org/10.17600/17004100 -Hydrological stations with CTD-Rosette profiles (+ sensors for O2, Chlorophyll, PAR, transmissometer) and sampling at 10 depth levels. -Taking phytoplankton and zooplankton samples (phytoplankton, WP2 and Bongo 65, 120, 300 and 500µm nets). -Continuous acoustic measurements using EK 60 multifrequency echosounder (38, 70, 120 and 200 kHz). -Continuous monitoring of surface temperature and salinity using TSG. -Continuous hull-mounted ADCP current measurements (75 kHz). -Sampling pelagic communities using micronekton and mesopelagic trawls. -Sampling demersal-benthic communities using bottom trawl. -Sediment sampling with Van Veen grab. -Video images with Go Pro camera set up on various types of supports: CTD, trawls, ship's deck, etc.
47			Biogeochemical	Oxygen, nutrients (please specify)	Ecotaxa	In situ imaging w. UVP5 In situ particle size distribution (e.g. also aggregates and fecal pellets)	Rainer Kiko (rainer.kiko@obs-vlfr.fr) https://ecotaxa.obs-vlfr.fr	NE Brazil	since about 2010	Scanned image data is not yet available from those regions. That is ongoing work in CT1 WP2.
48			Societal	number of jobs involved, number of people involved in different areas, setlements along the coast, poverty indicator, estimates of level of schooling, level of goverment funding support etc…	Fisheries data	Catch of commercial resources	Abracos Project (Arnaud Bertrand; arnaud.bertrand@ird.fr) Camadas finas Project (Ralf Schwamborn rs@ufpe.br)	Northeast Brazilian Coast	1950-2018	historical fisheries reconstructed data from FAO and Brazilian Government (official) ICCAT (tunas)
49					FAO Southwest Atlantic capture	total catch	http://www.fao.org/fishery/statistics/seatl-capture-production/en	Southwest Atlantic	since 1975	total catch by species
50					SEA AROUND US	Fish	http://www.seaaroundus.org/	EEZ Brazil	since 1950	Reported and reconstructed catch
51					Economic drivers of the NE Brazil shrimp fisheries and the Open Ocean Tuna fisheries	Shrimp and Open Ocean tuna	Thierry Frédou (thierry.fredou@ufrpe.br)	NE Brazil	*	To be delivered within CT2
52					Surveys	Interviews	Adriana Carvalho (acarvalho.ufrn@gmail.com)	Northeast Brazilian Coast
53			Physical (check also biogeochemical)	Temperature, salinity, velocity, Upwelling, stratification, mesoscale variability	Brazilian Navy Argo Program	Argo floats	Argo floats 5903133 & 132	Brazil	since 2015	https://www.ifremer.fr/co-argoFloats/float?detail=false&ptfCode=5903133&active=false&ocean=A&lang=en https://www.ifremer.fr/co-argoFloats/float?detail=false&active=false&ocean=A&lang=en&techChart=false&ptfCode=5903132
54			Physical (check also biogeochemical)		Prediction and Research Moored Array in the Tropical Atlantic (PIRATA)	2 Moors	https://www.pmel.noaa.gov/tao/drupal/disdel/ Moacyr Araujo (moa.ufpe@gmail.com)	Tropical Atlantic	after 2005	SW RadLW Rad Rain Wspd Uwnd Vwnd Wdir Wind VecRH AirT SLP SST T(z) SSS S(z) SSD D(z) Heat Dyn Ht20 CU curV
55		Confluence region in Southern Brazil, principial contact person Jose H Muelbert (docjhm@furg.br) lon-lat box [53-43W, 24-35S]	GENERAL NOTE (FROM PRINCIPAL CONTACT PERSON) ON SOUTHERN BRAZIL CONFLUENCE REGION OBSERVATIONS: the data is released directly by the researcher. An e-mail to the contact provided should be sufficient.
56			Biological	Plankton, micronekton, fish, top-predators	Ichthyoplankton surveys	Fish eggs and larvae composition and abundance	https://doi.org/10.1594/PANGAEA.884342	Southwest Atlantic	1970-2010	Depth, distance from shore, salinity, water temperature, fish egg abundance, fish larvae abundance, volume of zooplankton
57					Project Talude Cetaceans	Cetacean sightings and skin/blupper biopsies	Juliana Di Tullio (ditullio.juliana@gmail.com) / Eduardo Resende Secchi (edu.secchi@furg.br)	Southwest Atlantic Ocean Slope, between Chuí and Rio de Janeiro (Brazil)	2009 - 2015	Species, number of individuals, densities, depth, distance from shore, CTD. Projeto Talude - 2009 - 2015 (South-southeastern Brazil outter continental shelf and Slope - ca 34oS to 22oS; period spring and autumn 2009-2015)
58					Project Talude Seabirds	Seabirds sightings	Leandro Bugoni (lbugoni@yahoo.com.br) / Eduardo Resende Secchi (edu.secchi@furg.br)	Southwest Atlantic Ocean Slope, between Chuí and Rio de Janeiro (Brazil)	2010 - 2015	Species, number of individuals, densities, depth, distance from shore, CTD. Projeto Talude - 2009 - 2015 (South-southeastern Brazil outter continental shelf and Slope - ca 34oS to 22oS; period spring and autumn 2009-2015)
59					Project Talude Meso-zooplankton	Meso-zooplankton	Erik Muxagata (e.muxagata@gmail.com) / Eduardo Resende Secchi (edu.secchi@furg.br)	Southwest Atlantic Ocean Slope, between Chuí and Rio de Janeiro (Brazil)	2011 - 2015	Salinity, water temperature, densities of key zooplanktonic species, depth, distance from shore, CTD. Projeto Talude - 2009 - 2015 (South-southeastern Brazil outter continental shelf and Slope - ca 34oS to 22oS; period spring and autumn 2009-2015)
60					Project Talude Phytoplankton	Phytoplankton	Carlos Mendes (crbmendes@gmail.com) / Eduardo Resende Secchi (edu.secchi@furg.br)	Southwest Atlantic Ocean Slope, between Chuí and Rio de Janeiro (Brazil)	2012 - 2015	Chemotaxonomy, clorophyll concentration, biomass, depth, distance from shore, CTD. Projeto Talude - 2009 - 2015 (South-southeastern Brazil outter continental shelf and Slope - ca 34oS to 22oS; period spring and autumn 2009-2015)
61					Project Talude Meso-pelagic fish	mesopelagic fish (trawling and hydroacustics)	Stefan Weigert (stefanweigert@gmail.com) / Eduardo Resende Secchi (edu.secchi@furg.br)	Southwest Atlantic Ocean Slope, between Chuí and Rio de Janeiro (Brazil)	2009 - 2015	Species composition and density. Projeto Talude - 2009 - 2015 (South-southeastern Brazil outter continental shelf and Slope - ca 34oS to 22oS; period spring and autumn 2009-2015)
62			Biogeochemical	Oxygen, nutrients (please specify)	Project Talude ionscapes	δ13C and δ15N ioscapes	Genyffer Troina (genyffertroina@gmail.com), Eduardo Resende Secchi (edu.secchi@furg.br), https://doi.org/10.1016/j.dsr.2020.103235	Southwest Atlantic Ocean Slope, between Chuí and Rio de Janeiro (Brazil)	2012-2015	carbon and nitrogen stable isotopes in copepods, euphausiids, amphipods, chaetognaths, salps and whole mixture. Projeto Talude - 2009 - 2015 (South-southeastern Brazil outter continental shelf and Slope - ca 34oS to 22oS; period spring and autumn 2009-2015)
63					Project Talude main surveys	Particulate Organic Matter, zooplankton, fish, squid and cetaceans	Genyffer Troina (genyffertroina@gmail.com), Eduardo Resende Secchi (edu.secchi@furg.br)	Southwest Atlantic Ocean Slope, between Chuí and Rio de Janeiro (Brazil)	2009 - 2015	carbon and nitrogen stable isotopes in the different organisms. Projeto Talude - 2009 - 2015 (South-southeastern Brazil outter continental shelf and Slope - ca 34oS to 22oS; period spring and autumn 2009-2015)
64					Estarte cruise I	Seawater discrete samples. Total alkalinity, nutrients, total dissolved inorganic carbon, dissolved oxygen	Dr. Rodrigo Kerr / FURG - rodrigokerr@furg.br	South and Southeast Brazilian continental margin (South Atlantic)	October 2014	Depth, salinity, water temperature, salinity, DO, nutrients, carbonate system
65					Surveys in the southern Brazilian region	Water. Nutrients and radium Isotopes	https://doi.org/10.1590/S1679-87592013000300004	Southern Brazilian Continental Shelf	2005 and 2007	Total dissolved Silicate, radium isotopes 224Ra and 223Ra.
66					Surveys in the southern Brazilian region	Water. Nutrients and trace metal	https://doi.org/10.1016/j.csr.2014.07.007	Southern Brazilian Continental Shelf	2004, 2005, 2007 and 2013	Total dissolved inorganic nitrogen, phosphate and silicate, and trace metal (Ba, Cd, Co, Cu, Fe, Mn, U, V and Zn)
67			Societal	number of jobs involved, number of people involved in different areas, setlements along the coast, poverty indicator, estimates of level of schooling, level of goverment funding support etc…	Monitoramento da Atividade Pesqueira do Estado de Santa Catarina	Industrial Catch	Projetos de Monitoramento da Atividade Pesqueira do Estado de Santa Catarina (permission needed; Dr. Regina Rodrigues)	Santa Catarina State in Brazil	2000-2019	Industrial catch (not counting artisanal catch) including all types of fishes for the state of Santa Catarina in Brazil. These are monthly data (in kg)
68			Physical	Temperature, salinity, velocity, Upwelling, stratification, mesoscale variability	Brazilian Navy Argo Program	Argo floats	Argo floats 5903118 & 136	Brazil	since 2015	https://www.ifremer.fr/co-argoFloats/float?detail=false&ptfCode=5903118&active=false&ocean=A&lang=en https://www.ifremer.fr/co-argoFloats/float?detail=false&active=false&ocean=A&lang=en&techChart=false&ptfCode=5903126
69					Project Talude CTD	CTD-data	Eduardo Resende Secchi (edu.secchi@furg.br)	Southwest Atlantic Ocean Slope, between Chuí and Rio de Janeiro (Brazil)	2009 - 2015	CTD. Projeto Talude - 2009 - 2015 (South-southeastern Brazil outter continental shelf and Slope - ca 34oS to 22oS; period spring and autumn 2009-2015)
70					surveys in the southern Brazilian region	Temperture and salinity	https://doi.org/10.1590/S1679-87592013000300004	Southern Brazilian Continental Shelf	2004, 2005, 2007 and 2013
71					surveys in the southern Brazilian region	Temperture and salinity	https://doi.org/10.1016/j.csr.2014.07.007	Southern Brazilian Continental Shelf	2004, 2005, 2007 and 2013
72		Basin Scale Atlantic, principal contact person Dr. Elaine McDonagh (elmc@norceresearch.no), spatial area [Tropical and south Atlantic except Southern Benguela and NE/southern Brazil]	GENERAL NOTE ON ATLANTIC BASIN SCALE OBSERVATIONS: Most databases are open-access and available in external servers. Otherwise, TRIATLAS researchers should contact the persons indicated in each database. Most of these datasets also cover key regional TRIATLAS areas (Benguela, NE Brazil)
73			Biological	Plankton, micronekton, fish, top-predators	HamPelFish (Hamburg Pelagic Fish)	mesopelagic fish (trawling)	Dr. Heino Fock (heino.fock@thuenen.de), Dr. Henrike Andresen (henrike.andresen@thuenen.de), Thünen Institute of Sea Fisheries	whole Atlantic, Subarctic to Circumglobal Subtropical Front, > 400 stations on cruise transects from 13 cruises, meso-, epi- and bathypelagic	1966-1986 (single sampling events, not a time series)	mesopelagic fish species counts and lengths at various depths
74					COPEPOD	Phytoplankton, Zooplankton	https://www.st.nmfs.noaa.gov/copepod/about/databases.html	Site-specific worldwide	since mid-20thC	Biomass, abundance
75					Marine Copernicus	Satellites/obs	http://marine.copernicus.eu/	Global	since Jan 1992	Different databases available: in-situ observations and reanalysis of plankton, phytoplankton
76					Ecotaxa (Tara, SFB754, Malaspina)	Scanned images of Zooplankton samples	Dr Rainer Kiko (rainer.kiko@obs-vlfr.fr) https://ecotaxa.obs-vlfr.fr	Global	since about 2010	Plankton size distribution (see e.g. Hauss et al (2016) Dead zone or oasis in the open ocean? Zooplankton distribution and migration in low-oxygen modewater eddies. Biogeosciences, 13:1977-1989. )
77					Ecotaxa (Tara, SFB754)	In situ imaging w. UVP5	Dr Rainer Kiko (rainer.kiko@obs-vlfr.fr) https://ecotaxa.obs-vlfr.fr	Global	since about 2010	Plankton size distribution (see e.g. Christiansen et al (2018) Particulate matter flux interception in oceanic mesoscale eddies by the polychaete Poeobius sp. Limnology and Oceanography, doi: 10.1002/lno.10926.; Singh et al (2017) Niche construction by non-diazotrophs for N2 fixers in the eastern tropical North Atlantic Ocean. Geophysical Research Letters, DOI:10.1002/2017GL074218.; Biard et al (2016) In situ imaging reveals the biomass of giant protists in the global ocean. Nature, 532:504-507.)
78					ICES SICCME	Phytoplankton, Zooplankton, fish communities	https://www.ices.dk/marine-data/dataset-collections/Pages/default.aspx	Global	*	Biological communities, Biological effects, Environmental contaminants, Fish trawl surveys, Catch statistics, Fish eggs and larvae, Fish stomach, Plankton, Vulnerable Marine Ecosystems
79					AquaMaps	Environmental variables forcing marine species occurrence	https://www.aquamaps.org/main/home.php	Global	Historical and future Climate Change projections (2100)	Environmental variables: SST, salinity, primary productivity, sea ice concentration, oxygen. Species: Sharks & rays, bony fish, invertebrates, deep-sea species, marine mammals, open ocean species
80					OBIS	Global open-access data and information clearing-house on marine biodiversity for science, conservation and sustainable development	https://obis.org/	Global	Mainly 2000-2019	More than 20 OBIS nodes around the world connect 500 institutions from 56 countries. Collectively, they have provided over 45 million observations of nearly 120 000 marine species, from Bacteria to Whales, from the surface to 10 900 meters depth, and from the Tropics to the Poles. The datasets are integrated so you can search and map them all seamlessly by species name, higher taxonomic level, geographic area, depth, time and environmental parameters. OBIS emanates from the Census of Marine Life (2000-2010) and was adopted as a project under IOC-UNESCO’s International Oceanographic Data and Information (IODE) programme in 2009.
81					FishBase - A Global Information System on Fishes	FishBase is a global biodiversity information system on finfishes.	https://www.fishbase.de/	Global	Historical observations	FishBase is a global biodiversity information system on finfishes. Its initial goal to provide key facts on population dynamics for 200 major commercial species has now grown to having a wide range of information on all species currently known in the world: taxonomy, biology, trophic ecology, life history, and uses, as well as historical data reaching back to 250 years. At present, FishBase covers >33,000 fish species compiled from >52,000 references in partnership with >2,000 collaborators: >300,000 common names and >55,000 pictures.
82					SeaLifeBase A Global Information System on non-fish marine organisms	FishBase-like information system for all non-fish marine organisms	https://www.sealifebase.ca/	Global	Historical observations	The long-term goal of this project is to create and maintain a FishBase-like information system for all non-fish marine organisms, ca. 400,000 spp. Of these, marine organisms (about 240,000 spp) are the target of the current project phase. It will not provide yet another authority list of species, but rather, for each species included, make available the biological and ecological information necessary to conduct biodiversity and ecosystem studies, taking advantage of lists of species already available on paper and electronically, and using the scientific names as ‘hook’ to organize biodiversity information.
83					ICCAT - The International Commission for the Conservation of Atlantic Tunas	Pelagic Fish Nominal Catch, Sample fishing statistics, fish sizes, tagging, stocks	https://www.iccat.int/en/index.asp	Atlantic Ocean	HIstorial Observations	Pelagic Fish - ICCAT compiles fishery statistics from its members and from all entities fishing for these species in the Atlantic Ocean, coordinates research, including stock assessment, on behalf of its members, develops scientific-based management advice, provides a mechanism for Contracting Parties to agree on management measures, and produces
84					Electronic tagging and population structure of Atlantic bluefin tuna	Bluefin tuna	Dr. Barbara A Block; https://www.nature.com/articles/nature03463	Western Atlantic Ocean	1996-2004	Electronic tagging of 772 Atlantic bluefin tuna in the western Atlantic Ocean in an effort to identify population structure. Reporting electronic tags provided accurate location data that show the extensive migrations of individual fish
85					Tagging data on yellowfin tuna from Ascension island	Yellowfin tuna	http://south‐atlantic‐research.org/metadata‐catalogue under codes AC‐AIGCD‐115 (tracking) and AC‐AIGFD‐1 (reproduction). Tracking data at http://asios.cles.ex.ac.uk. Correspondence: andy.richardson@ascension.gov.ac	Ascension Island	2014-2016	Satellite archival tags and conventional mark–recapture. Spatial behavior and reproductive status of yellowfin tuna (Thunnus albacares) inhabiting Ascension Island. Correspondence Andrew J. Richardson, Conservation & Fisheries Department, Ascension Island Government, Ascension Island, South Atlantic. Email: andy.richardson@ascension.gov.ac
86			Biogeochemical	Oxygen, nutrients (please specify)	Argo Bio Floats from Coriolis	oxygen, chlorophyll, nitrate, pH, turbidity, backscaterring, cdom and more.	https://www.coriolis.eu.org/Data-Products/Data-Delivery/Argo-bio-floats-from-Coriolis	Few locations over the Atlantic Basin	since 2014
87					Ecotaxa	In situ imaging w. UVP5 In situ particle size distribution (e.g. also aggregates and fecal pellets)	Dr Rainer Kiko (rainer.kiko@obs-vlfr.fr) https://ecotaxa.obs-vlfr.fr	Global	since about 2010	Particle size distribution (see e.g. Kiko et al. (2017) Biological and physical influences on marine snowfall at the equator. Nature Geoscience, DOI:10.1038/ngeo3042.; Bianchi et al (2018) Global niche of marine anaerobic metabolisms expanded by particle microenvironments. Nature Geoscience, doi:10.1038/s41561-018-0081-0.; Thomsen et al. (2019) Remote and local drivers of oxygen and nitrate variability in the shallow oxygen minimum zone off Mauritania in June 2014. Biogeosciences 16:979-998.; Giering et al (2020) Sinking Organic Particles in the Ocean—Flux Estimates From in situ Optical Devices. Frontiers in Marine Science 6:834
88					Marine Copernicus	Satellites/obs	http://marine.copernicus.eu/	Global	since Jan 1992	Different databases available: in-situ observations and reanalysis of oxygen, nutrients, primary productivity
89			Societal	number of jobs involved, number of people involved in different areas, setlements along the coast, poverty indicator, estimates of level of schooling, level of goverment funding support etc…	SSP Database (Shared Socioeconomic Pathways)	population and GDP development	https://tntcat.iiasa.ac.at/SspDb/dsd?Action=htmlpage&page=about	Global data, disaggregated on national level	projections until 2100	needs registration on the webpage, free of costs
90					Fishery and Aquaculture Statistics	number of people employed in fisheries and aquaculture	http://www.fao.org/fishery/static/Yearbook/YB2017_USBcard/navigation/index_intro_e.htm	Global data, disaggregated on national level	1995-2017	statistics booklets no table
91					SEA AROUND US	Fish	http://www.seaaroundus.org/	Global, regional, fishing country, sector	since 1950	Reported and reconstructed catch
92					FAO Fisheries	Fisheries	http://www.fao.org/fishery/statistics/global-production/en	Global, fishing country	since 1950	Global capture, number of fishers
93					Database of global marine commercial, small-scale, illegal and unreported fisheries	Official catch, fishing gear used, as well as estimates of illegal, unregulated and unreported catch (IUU) and discards at sea	https://www.nature.com/articles/sdata201739#Sec20	Global	1950-2014	Global fisheries landings data from a range of public sources was harmonised and mapped to 30-min spatial cells based on the distribution of the reported taxa and the fishing fleets involved. This data was extended to include the associated fishing gear used, as well as estimates of illegal, unregulated and unreported catch (IUU) and discards at sea. Expressed as catch rates, these results also separated small-scale fisheries from other fishing operations. The dataset covers 1950 to 2014 inclusive. Mapped catch allows study of the impacts of fisheries on habitats and fauna, on overlap with the diets of marine birds and mammals, and on the related use of fuels and release of greenhouse gases. The fine-scale spatial data can be aggregated to the exclusive economic zone claims of countries and will allow study of the value of landed marine products to their economies and food security, and to those of their trading partners.
94			Physical	Temperature, salinity, velocity, Upwelling, stratification, mesoscale variability	Atmosphere and Ocean reanalyses	Atmospheric and Oceanic reanalysis data from multiple sources	https://reanalyses.org/	Global	*	The goal of reanalyses.org is to facilitate comparison between reanalysis and observational datasets. Evaluative content provided by reanalysis developers, observationalists, and users; and links to detailed data descriptions, data access methods, analysis and plotting tools, and dataset references are available. Discussions of the recovery of observations to improve reanalyses is also a focus. The wiki framework encourages scientific discussion between members of reanalyses.org and other reanalysis users.
95					Marine Copernicus	Satellites/obs	https://marine.copernicus.eu/	Global	since Jan 1992	different databases available: in-situ observations and reanalysis of SST, salinity, SSH, current velocity, mixed layer thickness, sea ice, wind, reflectance, turbidity
96					Prediction and Research Moored Array in the Tropical Atlantic (PIRATA)	Moors	https://www.pmel.noaa.gov/gtmba/pmel-theme/atlantic-ocean-pirata	Tropical Atlantic	since 1998	SW RadLW Rad Rain Wspd Uwnd Vwnd Wdir Wind VecRH AirT SLP SST T(z) SSS S(z) SSD D(z) Heat Dyn Ht20 CU curV, https://www.frontiersin.org/articles/10.3389/fmars.2019.00206/full
97					SEADATANET	Cruises, observational sites, etc.	https://www.seadatanet.org/	Global	since 1960	all type of data
98					Coriolis (operational oceanography)	Argo, ADCP, gliders, vessels, buoys,	http://www.coriolis.eu.org/	Global	*	all type of data
99					Electronic Atlas of WOCE Data	Argo, ADCP, gliders, vessels, buoys,	https://www.ewoce.org/data/index.html	Global	1988-1998	ADCP Data Current Meter Data. Profiling Float Data, Sea Level Data (BODC), Sea Level Data (U Hawaii). Sea Surface T/S Data, Subsurface Float Data, Surface Drifter Data, WHP Bottle Data, Upper Ocean Thermal Data
100					CCHDO	CTD	https://cchdo.ucsd.edu/	Global	*	The CCHDO's primary mission is to deliver the highest possible quality global CTD and hydrographic data to users. These data are a product of decades of observations related to the physical characteristics of ocean waters carried out during WOCE, CLIVAR and numerous other oceanographic research programs. Whenever possible we provide these data in three easy-to-use formats: WHP-Exchange (which we recommend for data submissions to the CCHDO), WOCE, and netCDF. The CCHDO also manages public and non-public CTD data to be used for the global Argo and OceanSITES programs. This site is funded by the National Science Foundation and the National Oceanic and Atmospheric Administration's Climate Observations Division.