The inner Oslofjorden Phytoplankton Database is a comprehensive data collection containing quantitative phytoplankton cell counts, associated metadata and available environmental data. The primary source for the collection is the monitoring programme for inner Oslofjorden conducted with varying yearly frequencies from 1973 until today, mainly by the Norwegian Institute for Water Research (NIVA). From 2006 to 2020, sampling frequency was approximately monthly. Secondary, the database is also supplied with data from various projects from 1896 to 1976, conducted by researchers from University of Oslo (UiO).
The source file for this dataset is available on Zenodo: https://doi.org/10.5281/zenodo.5031409
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Por favor, tenga en cuenta que ésta es una versión antigua del conjunto de datos. Los usuarios deben citar este trabajo de la siguiente manera:
Lundsør E (2021): Inner Oslofjorden Phytoplankton Database. v1.8. UiO Department of Biosciences. Dataset/Samplingevent. https://ipt.gbif.no/resource?r=oslofjord_phytoplankton&v=1.8
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El publicador y propietario de los derechos de este trabajo es UiO Department of Biosciences. Este trabajo está autorizado bajo una Licencia Creative Commons Atribución/Reconocimiento 4.0 Internacional (CC-BY) 4.0.
Este recurso ha sido registrado en GBIF con el siguiente UUID: 777ea835-48a3-4136-bf3a-32c5b897563f. UiO Department of Biosciences publica este recurso y está registrado en GBIF como un publicador de datos avalado por GBIF Norway.
Samplingevent; time series; phytoplankton; environmental data
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|Source dataset||https://doi.org/10.5281/zenodo.5031409 UTF-8 Microsoft Excel|
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Inner Oslofjorden, Norway
|Coordenadas límite||Latitud Mínima Longitud Mínima [59,661, 10,415], Latitud Máxima Longitud Máxima [59,933, 10,956]|
|Fecha Inicial / Fecha Final||1896-02-14 / 2020-12-14|
Datos del proyecto
This is a PhD project where we have studied long-term time series of phytoplankton counts and diversity in the inner Oslofjorden. Such time series of species composition and abundance are essential in understanding the natural seasonal and interannual variability and possible future scenarios and thereby important for long-term management. In the project we have analysed data sampled and produced more or less regularly over the last 100 years.
|Título||Change in phytoplankton community structure in the inner Oslofjord during a century of sampling|
|Fuentes de Financiación||This work was funded by Fagrådet (for vann og avløpsteknisk samarbeid i indre Oslofjord), the Research Council of Norway (RCN, grant no 262960/O30), Niva and Norconsult AS.|
|Descripción del área de estudio||The inner Oslofjorden is a sill fjord of 190 km2 size. The fjord is connected to the more open outer Oslofjorden and Skagerrak through the narrow sound at Drøbak, where the sill is only 19.5 m deep. North of the Drøbak sill, more sills divide the fjord into several basins, such as Vestfjorden (basin depth 162 m), Bærumsbassenget, Bekkelagsbassenget, and Bunnefjorden (basin depth 152m). The database contains 411 unique accepted taxa registrations of which 75% are identified to the genus level. These records are distributed among 18 classes. Approximately 9% of the registrations are “flagellates”, “monads” or other not identified to class. The most counted classes in the dataset are Dinophyceae (dinoflagellates) and Bacillariophyceae (diatoms) representing 37.5% and 36%, respectively, of all records.|
|Descripción del diseño||The inner Oslofjorden Phytoplankton dataset was compiled in 2020, comprising of quantitative phytoplankton cell counts from inner Oslofjorden since 1896. Previously parts of the data has been available as handwritten or printed tables in reports and published sources17–19. All sources have are digitally available from the UiO University library, the website for “Fagrådet” (http://www.indre-oslofjord.no/) or NIVA online report database (https://www.niva.no/rapporter). Data from 1994 and onwards have been accessed digitally from the NIVA’s databases but are also available from client reports from the monitoring project for inner Oslofjorden from the online sites listed above.|
Personas asociadas al proyecto:
Métodos de muestreo
The inner Oslofjorden Phytoplankton dataset was compiled in 2020, comprising of quantitative phytoplankton cell counts from inner Oslofjorden since 1896. Previously parts of the data has been available as handwritten or printed tables in reports and published sources. Data from 1994 and onwards have been accessed digitally from the NIVA’s databases but are also available from client reports from the monitoring project for inner Oslofjorden. The data already digitalized were compiled from excel files. Other data were manually entered to standard format in MS Excel files. All collected data were then integrated into one excel database.
|Área de Estudio||The database covers several sampling stations in the inner Oslofjorden, with the majority of samples (61%) from Dk1/S1 (N59.814999 E10.569384). Dk1 has been the most sampled station throughout all the years of sampling. Data are available for the years 1896-97, 1916-17, 1933-1934, 1939, 1948, 1957-58, 1962-65, 1972-1974, 1988-1990, 1994-1995 and 1998-2020. From 1998-2004 there are only samples during the summer months (May to Aug) but from 2006 to 2020, there is good seasonal coverage.|
|Control de Calidad||After compilation, the data were checked for digitalization errors, which could occur during manual digitalization or just the compilation process. Duplicates and zero values were removed. Then taxonomy specialists did perform a taxonomic quality check. The nomenclature in Worms is quality assured by a wide range of taxonomic specialists. We also cross checked the last updated nomenclature in Algaebase to assign species to a valid class name. When Algaebase and Worms were not in accordance, Algaebase taxonomy was usually chosen except in the case of Bacillariophyceae.|
Descripción de la metodología paso a paso:
- Data was compiled from a range of sources described in "sampling description". After compilation, the original names in our database and matched them to accepted names and Aphia ID using the taxon match tool available in the open-access reference system; World Register of Marine Species (Worms). The data was then formatted to Darwin Core.