Data

The Australian Zooplankton Biomass Database (1932 - 2019)

Name: The Australian Zooplankton Biomass Database (1932 - 2019)
Published: 2019

Integrated Marine Observing System

McEnnulty, Felicity R. ; Davies, Claire H. ; Armstrong, Asia O. ; Atkins, Natalia ; Coman, Frank ; Clementson, Lesley ; Edgar, Steven ; Eriksen, Ruth S. ; Everett, Jason D. ; Koslow, J. Anthony ; Lonborg, Christian ; McKinnon, A. David ; Miller, Margaret ; O’Brien, Todd D. ; Pausina, Sarah A. ; Uribe-Palomino, Julian ; Rochester, Wayne ; Rothlisberg, Peter C. ; Slotwinski, Anita ; Strzelecki, Joanna ; Suthers, Iain M. ; Swadling, Kerrie M. ; Tonks, Mark L. ; van Ruth, Paul D. ; Young, Jock W. ; Richardson, Anthony J.

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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26198/5c4170d42ab24&rft.title=The Australian Zooplankton Biomass Database (1932 - 2019)&rft.identifier=10.26198/5c4170d42ab24&rft.description=Zooplankton biomass data have been collected in Australian waters since the 1930s, yet most datasets have been unavailable to the research community. We have searched archives, contacted researchers, and scanned the primary and grey literature to collate this dataset (49067 records) of marine zooplankton biomass from waters around Australia, within the geographical extents of 0-60S, 110-160E. Many of these are small-scale datasets , but when combined, they provide over >85 years of large-scale zooplankton community biomass data for Australian waters from 1932 to the present. The data have been standardised, erroneous data removed, and all metadata included. The Australian Zooplankton Biomass Database will be valuable for global change studies, research assessing trophic linkages, and for initialising and assessing biogeochemical and ecosystem models of lower trophic levels.A snapshot of the Australian Zooplankton Biomass Database at the time of this publication has been assigned a DOI and will be maintained in perpetuity by the Australian Ocean Data Network (AODN). The ongoing version of this database will be freely available through the AODN Portal (http://portal.aodn.org.au/) in the near future. This metadata record was based on the following CSIRO metadata record: http://www.marlin.csiro.au/geonetwork/srv/eng/search?uuid=c3c9663f-50ba-41c9-b1ac-b5a9b7e9d4f7.Maintenance and Update Frequency: asNeededStatement: ATTRIBUTE STATEMENT: Field information for IMOS_ABD_DATA: RECORD_ID - Unique record identifier (Primary key) PROJECT_ID - Unique Project Identifier SAMPLE_ID - Sample identifier (Unique within a project) LONGITUDE - Sample Longitude (Decimal degrees, WGS84) LATITUDE - Sample Latitude (Decimal degrees, WGS84) SAMPLE_DATE_UTC - Sample Collection Date (UTC time) SAMPLE_TIME_UTC - Sample Collection Time (UTC time) SAMPLE_DATE_LOCAL - Sample Collection Date (Local time) SAMPLE_TIME_LOCAL - Sample Collection Time (Local time) SAMPLE_YEAR - Sample Year SAMPLE_MONTH - Sample Month SAMPLE_DAY - Sample Day DAY_NIGHT - Time of sampling if known ('day','night') [See Note 1] MIN_DEPTH - Minimum (Shallow) Sampling Depth ('0' indicates surface, '-999' indicates unknown) MAX_DEPTH - Maximum (Deep) Sampling Depth ('-999' indicates unknown) BIOMASS - Biomass Value (Note: units are specified separately and are not standardised) BIOMASS_UNITS - Biomass Units BIOMASS_METHOD - Method used to calculate biomass C_UGL - Standardised Biomass Value (Units: µg Carbon per litre) ('-999' indicates unknown) REPLICATE - Replicate Number (if known) TOW_TYPE - Type of tow used – tow direction (direction of net tow) NET_MESH_SIZE - Size of Mesh used (Units: µm) NET_ID - The numerical code for the particular net used, indicating type of sampling net used NET_TYPE - Type of sampling net (as specified in project dataset or Project citation) BOTTOM_DEPTH_MEASURED - Bathymetry depths (Units: metres) ('-999' indicates unknown) BOTTOM_DEPTH_ETOPO - Bathymetry depths (Units: metres) ('-999' indicates unknown) [See Note 2] Note 1: 1. Day and night were determined based on the local time of the sample using the crepuscule function in the maptools package in R. If time of sampling was not available but the Project recorded whether sample collection occurred in daylight or night this is recorded instead. Day or night was calculated for each record where a time of collection existed. There are some projects which had no time of collection recorded, but did note whether the sample was collected in day or night. In these instances the time portion of the date field will read 00:00 (HH:MM). Due to the timestamp used in the database, data records without a time will read 00:00 but do not have a day/night allocation. Note 2: The bathymetry depths provided in the dataset for each sample as BOTTOM_DEPTH_ETOPO were taken from the ETOPO1 bathymetry and topography database hosted by the NOAA using the Marmap package in R. (Eric Pante, Benoit Simon-Bouhet (2013) marmap: A Package for Importing, Plotting and Analyzing Bathymetric and Topographic Data in R. PLoS ONE 8(9): e73051.) Field information for IMOS_ABD_METADATA: PROJECT_ID - Unique Project Identifier PROJECT_NAME - Title of the project START_DATE - Local Date/Time of project start (if known) END_DATE - Local Date/Time of project end (if known) CUSTODIAN_NAME - Name of Data Custodian CUSTODIAN_AFFILIATION - Organisation affiliated with custodian (if known) ACKNOWLEDGEMENT – Dataset acknowledgment [See Note 3] LOCATION - Broad scale region name NO_RECORDS – number of records CITATION – published reference relevant to the Project Note 3: We acknowledge the contributions from all collaborators and their institutions. If data from multiple projects are used, please acknowledge this publication; if individual project data are used, please acknowledge use of data as per the custodian information. We would also encourage the data user to enter into collaboration with the researchers involved in the data they use – understanding the history of a project will add value to the research. &rft.creator=McEnnulty, Felicity R. &rft.creator=Davies, Claire H. &rft.creator=Armstrong, Asia O. &rft.creator=Atkins, Natalia &rft.creator=Coman, Frank &rft.creator=Clementson, Lesley &rft.creator=Edgar, Steven &rft.creator=Eriksen, Ruth S. &rft.creator=Everett, Jason D. &rft.creator=Koslow, J. Anthony &rft.creator=Lonborg, Christian &rft.creator=McKinnon, A. David &rft.creator=Miller, Margaret &rft.creator=O’Brien, Todd D. &rft.creator=Pausina, Sarah A. &rft.creator=Uribe-Palomino, Julian &rft.creator=Rochester, Wayne &rft.creator=Rothlisberg, Peter C. &rft.creator=Slotwinski, Anita &rft.creator=Strzelecki, Joanna &rft.creator=Suthers, Iain M. &rft.creator=Swadling, Kerrie M. &rft.creator=Tonks, Mark L. &rft.creator=van Ruth, Paul D. &rft.creator=Young, Jock W. &rft.creator=Richardson, Anthony J. &rft.date=2019&rft.coverage=westlimit=110.00; southlimit=-59.99999999999999; eastlimit=160.00; northlimit=0.00; projection=WGS 84 (EPSG:4326)&rft.coverage=westlimit=110.00; southlimit=-59.99999999999999; eastlimit=160.00; northlimit=0.00; projection=WGS 84 (EPSG:4326)&rft.coverage=uplimit=-10; downlimit=-1000&rft.coverage=uplimit=-10; downlimit=-1000&rft_rights=Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/&rft_rights=This is the bibliographic reference for the dataset and this metadata record that describes it: McEnnulty FR, Davies CH, Armstrong AO, Atkins N, Coman F, Clementson L, Edgar S, Eriksen RS, Everett JD, Koslow JA, Longborg C, McKinnon AD, Miller M, O’Brien TD, Pausina SA, Uribe-Palomino J, Rochester W, Rothlisberg PC, Slotwinski A, Strzelecki J, Suthers IM, Swadling KM, Tonks ML, van Ruth PD, Young JW, Richardson AJ (2019), The Australian Zooplankton Biomass Database (1932 - 2018). Australian Ocean Data Network - DOI: 10.26198/5c4170d42ab24 (http://dx.doi.org/10.26198/5c4170d42ab24)&rft_rights=If data from multiple projects are used, please acknowledge the data paper publication; if individual project data are used, please acknowledge use of data as per the custodian information.&rft_rights=If using data from Project 599 the National Reference Stations or Project 597 the Australian Continuous Plankton Recorder, please use the following acknowledgement: “Data sourced from the Integrated Marine Observing System (IMOS) – IMOS is a national collaborative research infrastructure, supported by the Australian Government.”&rft_rights=Similarly , for Project 591 “Data for this project was collected with support from Healthy Waterways, Queensland ARC LPO883663”.&rft_rights=For Project 1109, please acknowledge “COPEPOD: the global plankton database (2018) available at http://www.st.nmfs.noaa.gov/copepod/”.&rft_rights=We would also encourage the data user to enter into collaboration with the researchers involved in the data they use – understanding the history of a project will add value to your research.&rft_subject=oceans&rft_subject=biota&rft_subject=Earth Science | Biosphere | Aquatic Ecosystems | Plankton | Zooplankton&rft_subject=Earth Science Services | Data Analysis And Visualization | Calibration/Validation&rft_subject=Earth Science | Biological Classification | Protists | Plankton&rft_subject=Earth Science | Biosphere | Ecological Dynamics | Ecosystem Functions | Biomass Dynamics&rft_subject=Earth Science | Biosphere | Aquatic Ecosystems | Marine Habitat&rft_subject=Earth Science | Biosphere | Aquatic Ecosystems | Pelagic Habitat&rft_subject=Earth Science | Biosphere | Aquatic Ecosystems | Coastal Habitat&rft_subject=Boats and Small Vessels&rft_subject=Nets | Plankton Nets/Drop Nets&rft_subject=Nets | Plankton Nets/Drop Nets | Phytoplankton Nets&rft_subject=Niskin Bottles&rft_subject=CMAR Marine Plankton&rft_subject=Countries | Australia&rft_subject=Global / Oceans | Indian Ocean&rft_subject=Global / Oceans | Pacific Ocean&rft_subject=Global / Oceans | Southern Ocean&rft_subject=Marine Features (Australia) | Great Australian Bight, SA/WA&rft_subject=Marine Features (Australia) | Bass Strait, TAS/VIC&rft_subject=Regional Seas | Arafura Sea&rft_subject=Regional Seas | Coral Sea&rft_subject=Regional Seas | Solomon Sea&rft_subject=Regional Seas | Tasman Sea&rft_subject=Regional Seas | Timor Sea&rft_subject=Dry weight biomass per unit volume of the water body&rft_subject=Wet weight biomass per unit volume of the water body&rft_subject=Biovolume&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution 4.0 International License
http://creativecommons.org/licenses/by/4.0/

This is the bibliographic reference for the dataset and this metadata record that describes it: McEnnulty FR, Davies CH, Armstrong AO, Atkins N, Coman F, Clementson L, Edgar S, Eriksen RS, Everett JD, Koslow JA, Longborg C, McKinnon AD, Miller M, O’Brien TD, Pausina SA, Uribe-Palomino J, Rochester W, Rothlisberg PC, Slotwinski A, Strzelecki J, Suthers IM, Swadling KM, Tonks ML, van Ruth PD, Young JW, Richardson AJ (2019), The Australian Zooplankton Biomass Database (1932 - 2018). Australian Ocean Data Network - DOI: 10.26198/5c4170d42ab24 (http://dx.doi.org/10.26198/5c4170d42ab24)

If data from multiple projects are used, please acknowledge the data paper publication; if individual project data are used, please acknowledge use of data as per the custodian information.

If using data from Project 599 the National Reference Stations or Project 597 the Australian Continuous Plankton Recorder, please use the following acknowledgement: “Data sourced from the Integrated Marine Observing System (IMOS) – IMOS is a national collaborative research infrastructure, supported by the Australian Government.”

Similarly , for Project 591 “Data for this project was collected with support from Healthy Waterways, Queensland ARC LPO883663”.

For Project 1109, please acknowledge “COPEPOD: the global plankton database (2018) available at http://www.st.nmfs.noaa.gov/copepod/”.

We would also encourage the data user to enter into collaboration with the researchers involved in the data they use – understanding the history of a project will add value to your research.

Access:

Open

Full description

Zooplankton biomass data have been collected in Australian waters since the 1930s, yet most datasets have been unavailable to the research community. We have searched archives, contacted researchers, and scanned the primary and grey literature to collate this dataset (49067 records) of marine zooplankton biomass from waters around Australia, within the geographical extents of 0-60S, 110-160E. Many of these are small-scale datasets , but when combined, they provide over >85 years of large-scale zooplankton community biomass data for Australian waters from 1932 to the present.

The data have been standardised, erroneous data removed, and all metadata included. The Australian Zooplankton Biomass Database will be valuable for global change studies, research assessing trophic linkages, and for initialising and assessing biogeochemical and ecosystem models of lower trophic levels.

A snapshot of the Australian Zooplankton Biomass Database at the time of this publication has been assigned a DOI and will be maintained in perpetuity by the Australian Ocean Data Network (AODN). The ongoing version of this database will be freely available through the AODN Portal (http://portal.aodn.org.au/) in the near future.

This metadata record was based on the following CSIRO metadata record: http://www.marlin.csiro.au/geonetwork/srv/eng/search?uuid=c3c9663f-50ba-41c9-b1ac-b5a9b7e9d4f7.

Lineage

Maintenance and Update Frequency: asNeeded

Statement: ATTRIBUTE STATEMENT: Field information for IMOS_ABD_DATA: RECORD_ID - Unique record identifier (Primary key) PROJECT_ID - Unique Project Identifier SAMPLE_ID - Sample identifier (Unique within a project) LONGITUDE - Sample Longitude (Decimal degrees, WGS84) LATITUDE - Sample Latitude (Decimal degrees, WGS84) SAMPLE_DATE_UTC - Sample Collection Date (UTC time) SAMPLE_TIME_UTC - Sample Collection Time (UTC time) SAMPLE_DATE_LOCAL - Sample Collection Date (Local time) SAMPLE_TIME_LOCAL - Sample Collection Time (Local time) SAMPLE_YEAR - Sample Year SAMPLE_MONTH - Sample Month SAMPLE_DAY - Sample Day DAY_NIGHT - Time of sampling if known ('day','night') [See Note 1] MIN_DEPTH - Minimum (Shallow) Sampling Depth ('0' indicates surface, '-999' indicates unknown) MAX_DEPTH - Maximum (Deep) Sampling Depth ('-999' indicates unknown) BIOMASS - Biomass Value (Note: units are specified separately and are not standardised) BIOMASS_UNITS - Biomass Units BIOMASS_METHOD - Method used to calculate biomass C_UGL - Standardised Biomass Value (Units: µg Carbon per litre) ('-999' indicates unknown) REPLICATE - Replicate Number (if known) TOW_TYPE - Type of tow used – tow direction (direction of net tow) NET_MESH_SIZE - Size of Mesh used (Units: µm) NET_ID - The numerical code for the particular net used, indicating type of sampling net used NET_TYPE - Type of sampling net (as specified in project dataset or Project citation) BOTTOM_DEPTH_MEASURED - Bathymetry depths (Units: metres) ('-999' indicates unknown) BOTTOM_DEPTH_ETOPO - Bathymetry depths (Units: metres) ('-999' indicates unknown) [See Note 2] Note 1: 1. Day and night were determined based on the local time of the sample using the crepuscule function in the maptools package in R. If time of sampling was not available but the Project recorded whether sample collection occurred in daylight or night this is recorded instead. Day or night was calculated for each record where a time of collection existed. There are some projects which had no time of collection recorded, but did note whether the sample was collected in day or night. In these instances the time portion of the date field will read 00:00 (HH:MM). Due to the timestamp used in the database, data records without a time will read 00:00 but do not have a day/night allocation. Note 2: The bathymetry depths provided in the dataset for each sample as BOTTOM_DEPTH_ETOPO were taken from the ETOPO1 bathymetry and topography database hosted by the NOAA using the Marmap package in R. (Eric Pante, Benoit Simon-Bouhet (2013) marmap: A Package for Importing, Plotting and Analyzing Bathymetric and Topographic Data in R. PLoS ONE 8(9): e73051.) Field information for IMOS_ABD_METADATA: PROJECT_ID - Unique Project Identifier PROJECT_NAME - Title of the project START_DATE - Local Date/Time of project start (if known) END_DATE - Local Date/Time of project end (if known) CUSTODIAN_NAME - Name of Data Custodian CUSTODIAN_AFFILIATION - Organisation affiliated with custodian (if known) ACKNOWLEDGEMENT – Dataset acknowledgment [See Note 3] LOCATION - Broad scale region name NO_RECORDS – number of records CITATION – published reference relevant to the Project Note 3: "We acknowledge the contributions from all collaborators and their institutions. If data from multiple projects are used, please acknowledge this publication; if individual project data are used, please acknowledge use of data as per the custodian information. We would also encourage the data user to enter into collaboration with the researchers involved in the data they use – understanding the history of a project will add value to the research. "

Notes

Credit
We acknowledge the contributions from all collaborators and their institutions.

Created: 17 01 2019

Data time period: 1932-05-02 to 2019-10-24

This dataset is part of a larger collection

Click to explore relationships graph

text: westlimit=110.00; southlimit=-59.99999999999999; eastlimit=160.00; northlimit=0.00; projection=WGS 84 (EPSG:4326)

text: uplimit=-10; downlimit=-1000

Subjects

User Contributed Tags

Other Information

(Data file via Amazon Web Services S3 storage (snapshot of database at 15042020))

uri : https://s3-ap-southeast-2.amazonaws.com/imos-data/CSIRO/Atlas/Zooplankton/Biomass/IMOS_ABD_zooplankton_biomass_data_20200415.csv External Link

(Metadata file via Amazon Web Services S3 storage)

uri : https://s3-ap-southeast-2.amazonaws.com/imos-data/CSIRO/Atlas/Zooplankton/Biomass/IMOS_ABD_zooplankton_biomass_metadata.csv External Link

(Scientific Data article)

uri : https://www.nature.com/articles/s41597-020-00625-9 External Link

Identifiers

global : 64533cd3-0a63-4152-823b-852b1901d6c9
DOI : 10.26198/5C4170D42AB24