Hi everyone,
I would like to know if there are online available and free world-wide datasets of sea surface temperature, net primary productivity, salinity, pH and dissolved oxygen.
Best wishes,
Diego
Dear Diego
there is a global data set called Bio-Oracle, which could be useful. It has the aim to be used in marine species distribution modelling, and covers the variables you listed except pH. The dataset contains both present-day and future values until the end of the Century.
http://www.bio-oracle.org/index.php
Scientific references which describe the data:
Assis, J., Tyberghein, L., Bosch, S., Verbruggen, H., Serrão, E.A. & De Clerck, O. 2018. Bio-ORACLE v2.0: Extending marine data layers for bioclimatic modelling. Glob. Ecol. Biogeogr. 27:277–84.
Tyberghein, L., Verbruggen, H., Pauly, K., Troupin, C., Mineur, F. & De Clerck, O. 2012. Bio-ORACLE: a global environmental dataset for marine species distribution modelling. Glob. Ecol. Biogeogr. 21:272–81.
Diego
There are probably some world wide databases but there are also some very good regional long term databases that are public access. An example is the Chesapeake Bay Program which has all that you've listed along with other water quality measures and living resources.
https://www.chesapeakebay.net/
EPA's EMAP program is another resource assuming the data are still readily available to the public given the Trump administrations policies.
Here is the NOAA copepod data base which is a global plankton database:
https://www.st.nmfs.noaa.gov/copepod/database/index.html
In fact NOAA websites in general will be a good place to look at least to start. Do it soon while they are still funded.
Hi Diego,
you can have a look at the copernicus marine environment monitoring service http://marine.copernicus.eu/
There are many data and products both at global and regional scale.
Hi Diego,
You can try this link:
http://www.mncn.csic.es/Menu/Investigacion/Serviciodeapoyoalainvestigacin/LabBiogeografiaInformatica/seccion=1258&idioma=es_ES.do
There is a very long list of GIS data, if you don´t find it there, we can always ask Victoria, at the museum, she will surelly knows and will be pleased to help!
Cheers!
Dear Diego
there is a global data set called Bio-Oracle, which could be useful. It has the aim to be used in marine species distribution modelling, and covers the variables you listed except pH. The dataset contains both present-day and future values until the end of the Century.
http://www.bio-oracle.org/index.php
Scientific references which describe the data:
Assis, J., Tyberghein, L., Bosch, S., Verbruggen, H., Serrão, E.A. & De Clerck, O. 2018. Bio-ORACLE v2.0: Extending marine data layers for bioclimatic modelling. Glob. Ecol. Biogeogr. 27:277–84.
Tyberghein, L., Verbruggen, H., Pauly, K., Troupin, C., Mineur, F. & De Clerck, O. 2012. Bio-ORACLE: a global environmental dataset for marine species distribution modelling. Glob. Ecol. Biogeogr. 21:272–81.
Hi Diego,
depending on what you are looking for you can also check at the NOAA-websites (http://www.ospo.noaa.gov/Products/ocean/sst/anomaly/) presenting regular global sea surface data and e.g. anomaly charts, providing, among others, forecast data for coral reef bleaching susceptibility in certain areas... this mainly for the temparature records, but updated almost daily.
Good luck, Goetz
Dear colleague, the information provided by the other colleagues is very valuable. However, in addition, I would recommend the information available on the following site. Well in addition to the information for the present there are maps available with palaeographic information.
www.marspec.org/
Hello,
check this links:
1. https://www.nodc.noaa.gov/OC5/WOD13/data13geo.html
2. https://giovanni.gsfc.nasa.gov/giovanni/
Saludos,
Check out the GlobColour project, which started in 2005 as an ESA Data User Element (DUE) project to provide a continuous data set of merged L3 Ocean Colour products. Through their website (http://hermes.acri.fr/index.php) you can access datasets dating back to 1997 and have re-processed, integrated and tested multiple freely available datasets. Depending on your time-series requirements, you may go for more reliable/accurate based on more recent/modern (individually or merged) sensors.
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