Data

IMOS - National Reef Monitoring Network Sub-Facility - Global benthic cover data (photoquadrat image annotations)

University of Tasmania, Australia
Reef Life Survey Foundation (RLS) ; Integrated Marine Observing System (IMOS)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://catalogue-imos.aodn.org.au:443/geonetwork/srv/api/records/0a65be6d-1c76-49ac-a151-80acf123612c&rft.title=IMOS - National Reef Monitoring Network Sub-Facility - Global benthic cover data (photoquadrat image annotations)&rft.identifier=https://catalogue-imos.aodn.org.au:443/geonetwork/srv/api/records/0a65be6d-1c76-49ac-a151-80acf123612c&rft.description=The National Reef Monitoring Network brings together shallow reef surveys conducted around Australia into a centralised database. The IMOS National Reef Monitoring Network Sub-Facility collates, cleans, stores and makes this data rapidly available from contributors including: Reef Life Survey; Parks Australia; IMOS Understanding of Marine Imagery Sub-Facility; Department of Biodiversity, Conservation and Attractions (Western Australia); Department for Environment and Water (South Australia); Department of Primary Industries and Regional Development (New South Wales); Tasmanian Parks and Wildlife Service; Parks Victoria and Institute for Marine and Antarctic Studies (IMAS).The data provided by the National Reef Monitoring Network contributes to establishing and supporting national marine baselines, and assisting with the management of Commonwealth and State marine reserves. Reef Life Survey (RLS) and the Australian Temperate Reef Network (ATRC) aims to improve biodiversity conservation and the sustainable management of marine resources by coordinating surveys of rocky and coral reefs using scientific methods, with the ultimate goal to improve coastal stewardship. Our activities depend on the skills of marine scientists, experienced and motivated recreational SCUBA divers, partnerships with management agencies and university researchers, and active input from the ATRC partners and RLS Advisory Committee.RLS and ATRC data are freely available to the public for non-profit purposes, so not only managers, but also groups such as local dive clubs or schools may use these data to look at changes over time in their own local reefs. By making data freely available and through public outputs, RLS and ATRC aims to raise broader community awareness of the status of Australia's marine biodiversity and associated conservation issues.The IMOS Understanding of Marine Imagery Sub-Facility provides a national repository for marine imagery and annotations, facilitating the sharing of quantitative data on species and habitat distributions. Squidle+ serves as the foundational software platform for this sub-facility, providing an end-to-end environment for the delivery, management, and annotation of marine imagery. Squidle+ is the primary platform for National Reef Monitoring Network image management.This dataset contains data on the habitat composition scored from photoquadrats taken by RLS and ATRC divers and partners along 50m transects on shallow rocky and coral reefs. 20 images are taken along each 50 m transect line at 2.5 m intervals, and images were annotated using a point-overlay approach (usually with 5 points per image overlaid and labelled using standardised schemes of habitat categories). The data are generated using two different methodologies: full-biodiversity (comprehensive labelling of all habitat components) and targeted (labelling of target taxa only, eg. habitat-forming corals). Values are given as percent coverage for each 50 m transect-analysis, as denoted by it's unique dataset_id. Images, annotation statistics, the RLS standardised label scheme and associated exemplar images, can be viewed online at squidle.org. Image and annotation statistics are also available in the related IMOS collections:- IMOS - Understanding of Marine Imagery (UMI) Sub-Facility - Squidle+ Annotation counts by Campaign (https://catalogue-imos.aodn.org.au/geonetwork/srv/api/records/5a94a2cf-0810-44ea-a28d-cc8a5c30fbd7) - IMOS - Understanding of Marine Imagery (UMI) Sub-Facility - Squidle+ Imagery and Tracks by Deployment (https://catalogue-imos.aodn.org.au/geonetwork/srv/api/records/0c9bdfd6-2760-4bde-8230-241132790701)This dataset supersedes the RLS specific Reef Life Survey (RLS): Habitat Quadrats collection that was available at https://catalogue-rls.imas.utas.edu.au/geonetwork/srv/en/metadata.show?uuid=6e9c4980-1005-11dd-b28e-00188b4c0af8 (provision of data was stopped in June 2021).Maintenance and Update Frequency: asNeededStatement: There are two versions of the data available from this collection: - the original NRMN data format - data with a schema compliant with the standard Darwin Core frameworkStatement: Dataset_id replaces the survey_id found in other layers of the NRMN collection, because images from each survey can yield multiple sets of observations (annotation sets) if separate assessments are completed. Dataset_id is a numeric string consisting of survey_id (which can be used to link to fish and invertebrate observations), followed by identifiers for the set of habitat categories used for annotation (label scheme) and each discreet collection of annotation data (annotation set id). 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International License http://creativecommons.org/licenses/by/4.0/&rft_rights=The citation in a list of references is: Reef Life Survey (RLS); Integrated Marine Observing System (IMOS), [year-of-data-download], IMOS - National Reef Monitoring Network Sub-Facility - Global benthic cover data (photoquadrat image annotations), [data-access-URL], accessed [date-of-access].&rft_rights=Please also utilise and cite this paper when using this data: Graham J. Edgar, Antonia Cooper, Susan C. Baker, William Barker, Neville S. Barrett, Mikel A. Becerro, Amanda E. Bates, Danny Brock, Daniela M. Ceccarelli, Ella Clausius, Marlene Davey, Tom R. Davis, Paul B. Day, Andrew Green, Samuel R. Griffiths, Jamie Hicks, Ivan A. Hinojosa, Ben K. Jones, Stuart Kininmonth, Meryl F. Larkin, Natali Lazzari, Jonathan S. Lefcheck, Scott D. Ling, Peter Mooney, Elizabeth Oh, Alejandro Perez-Matus, Jacqueline B. Pocklington, Rodrigo Riera, Jose A. Sanabria-Fernandez, Yanir Seroussi, Ian Shaw, Derek Shields, Joe Shields, Margo Smith, German A. Soler, Jemina Stuart-Smith, John Turnbull, Rick D. Stuart-Smith. Establishing the ecological basis for conservation of shallow marine life using Reef Life Survey, Biological Conservation, Volume 252, 2020, https://doi.org/10.1016/j.biocon.2020.108855&rft_rights=Oh, E., & Cooper, A. Reef Life Survey Image Annotation Protocol. Version 2.0. Reef Life Survey, Integrated Marine Observing System. 2025. https://doi.org/10.26198/mwwh-gx50&rft_rights=Friedman, A., Monk, J., Pizarro, O., Lindsay, D., Oh, E., Thornton, B., Carroll, A., Przeslawski, R., & Williams, S. Squidle+: A collaborative platform to manage, discover and annotate marine imagery. Frontiers in Marine Science, Volume 12. 2026, https://doi.org/10.3389/fmars.2025.1677103[&rft_rights=Data, products and services from IMOS are provided as is without any warranty as to fitness for a particular purpose.&rft_subject=oceans&rft_subject=biota&rft_subject=environment&rft_subject=Marine Features (Australia) | Gulf St. Vincent, SA&rft_subject=Global / Oceans | Atlantic Ocean&rft_subject=Marine Features (Australia) | Bass Strait, TAS/VIC&rft_subject=Regional Seas | Gulf of Thailand&rft_subject=Regional Seas | Bismarck Sea&rft_subject=Regional Seas | Banda Sea&rft_subject=Regional Seas | Solomon Sea&rft_subject=Regional Seas | Arafura Sea&rft_subject=Global / Oceans | Indian Ocean&rft_subject=Regional Seas | Tasman Sea&rft_subject=Global / Oceans | Pacific Ocean&rft_subject=Regional Seas | Red Sea&rft_subject=Regional Seas | Coral Sea&rft_subject=Regional Seas | Timor Sea&rft_subject=Global / Oceans | World&rft_subject=Global / Oceans | Southern Ocean&rft_subject=diver&rft_subject=Biotic taxonomic identification&rft_subject=Marine Imagery Sub-Facility, Integrated Marine Observing System (IMOS)&rft_subject=National Reef Monitoring Network Sub-Facility, Integrated Marine Observing System (IMOS)&rft_subject=CORAL REEF&rft_subject=BENTHIC&rft_subject=KELP FOREST&rft_subject=MACROALGAE (SEAWEEDS)&rft_subject=IMAGE PROCESSING&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/

The citation in a list of references is: "Reef Life Survey (RLS); Integrated Marine Observing System (IMOS), [year-of-data-download], IMOS - National Reef Monitoring Network Sub-Facility - Global benthic cover data (photoquadrat image annotations), [data-access-URL], accessed [date-of-access]."

Please also utilise and cite this paper when using this data: Graham J. Edgar, Antonia Cooper, Susan C. Baker, William Barker, Neville S. Barrett, Mikel A. Becerro, Amanda E. Bates, Danny Brock, Daniela M. Ceccarelli, Ella Clausius, Marlene Davey, Tom R. Davis, Paul B. Day, Andrew Green, Samuel R. Griffiths, Jamie Hicks, Ivan A. Hinojosa, Ben K. Jones, Stuart Kininmonth, Meryl F. Larkin, Natali Lazzari, Jonathan S. Lefcheck, Scott D. Ling, Peter Mooney, Elizabeth Oh, Alejandro Perez-Matus, Jacqueline B. Pocklington, Rodrigo Riera, Jose A. Sanabria-Fernandez, Yanir Seroussi, Ian Shaw, Derek Shields, Joe Shields, Margo Smith, German A. Soler, Jemina Stuart-Smith, John Turnbull, Rick D. Stuart-Smith. Establishing the ecological basis for conservation of shallow marine life using Reef Life Survey, Biological Conservation, Volume 252, 2020, https://doi.org/10.1016/j.biocon.2020.108855

Oh, E., & Cooper, A. Reef Life Survey Image Annotation Protocol. Version 2.0. Reef Life Survey, Integrated Marine Observing System. 2025. https://doi.org/10.26198/mwwh-gx50

Friedman, A., Monk, J., Pizarro, O., Lindsay, D., Oh, E., Thornton, B., Carroll, A., Przeslawski, R., & Williams, S. Squidle+: A collaborative platform to manage, discover and annotate marine imagery. Frontiers in Marine Science, Volume 12. 2026, https://doi.org/10.3389/fmars.2025.1677103[

Data, products and services from IMOS are provided "as is" without any warranty as to fitness for a particular purpose.

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The National Reef Monitoring Network brings together shallow reef surveys conducted around Australia into a centralised database. The IMOS National Reef Monitoring Network Sub-Facility collates, cleans, stores and makes this data rapidly available from contributors including: Reef Life Survey; Parks Australia; IMOS Understanding of Marine Imagery Sub-Facility; Department of Biodiversity, Conservation and Attractions (Western Australia); Department for Environment and Water (South Australia); Department of Primary Industries and Regional Development (New South Wales); Tasmanian Parks and Wildlife Service; Parks Victoria and Institute for Marine and Antarctic Studies (IMAS).

The data provided by the National Reef Monitoring Network contributes to establishing and supporting national marine baselines, and assisting with the management of Commonwealth and State marine reserves.

Reef Life Survey (RLS) and the Australian Temperate Reef Network (ATRC) aims to improve biodiversity conservation and the sustainable management of marine resources by coordinating surveys of rocky and coral reefs using scientific methods, with the ultimate goal to improve coastal stewardship. Our activities depend on the skills of marine scientists, experienced and motivated recreational SCUBA divers, partnerships with management agencies and university researchers, and active input from the ATRC partners and RLS Advisory Committee.

RLS and ATRC data are freely available to the public for non-profit purposes, so not only managers, but also groups such as local dive clubs or schools may use these data to look at changes over time in their own local reefs. By making data freely available and through public outputs, RLS and ATRC aims to raise broader community awareness of the status of Australia's marine biodiversity and associated conservation issues.

The IMOS Understanding of Marine Imagery Sub-Facility provides a national repository for marine imagery and annotations, facilitating the sharing of quantitative data on species and habitat distributions. Squidle+ serves as the foundational software platform for this sub-facility, providing an end-to-end environment for the delivery, management, and annotation of marine imagery. Squidle+ is the primary platform for National Reef Monitoring Network image management.

This dataset contains data on the habitat composition scored from photoquadrats taken by RLS and ATRC divers and partners along 50m transects on shallow rocky and coral reefs. 20 images are taken along each 50 m transect line at 2.5 m intervals, and images were annotated using a point-overlay approach (usually with 5 points per image overlaid and labelled using standardised schemes of habitat categories). The data are generated using two different methodologies: full-biodiversity (comprehensive labelling of all habitat components) and targeted (labelling of target taxa only, eg. habitat-forming corals). Values are given as percent coverage for each 50 m transect-analysis, as denoted by it's unique dataset_id.

Images, annotation statistics, the RLS standardised label scheme and associated exemplar images, can be viewed online at squidle.org. Image and annotation statistics are also available in the related IMOS collections:
- IMOS - Understanding of Marine Imagery (UMI) Sub-Facility - Squidle+ Annotation counts by Campaign (https://catalogue-imos.aodn.org.au/geonetwork/srv/api/records/5a94a2cf-0810-44ea-a28d-cc8a5c30fbd7)
- IMOS - Understanding of Marine Imagery (UMI) Sub-Facility - Squidle+ Imagery and Tracks by Deployment (https://catalogue-imos.aodn.org.au/geonetwork/srv/api/records/0c9bdfd6-2760-4bde-8230-241132790701)

This dataset supersedes the RLS specific "Reef Life Survey (RLS): Habitat Quadrats " collection that was available at https://catalogue-rls.imas.utas.edu.au/geonetwork/srv/en/metadata.show?uuid=6e9c4980-1005-11dd-b28e-00188b4c0af8 (provision of data was stopped in June 2021).

Lineage

Maintenance and Update Frequency: asNeeded
Statement: There are two versions of the data available from this collection: - the original NRMN data format - data with a schema compliant with the standard Darwin Core framework
Statement: Dataset_id replaces the survey_id found in other layers of the NRMN collection, because images from each survey can yield multiple sets of observations (annotation sets) if separate assessments are completed. Dataset_id is a numeric string consisting of survey_id (which can be used to link to fish and invertebrate observations), followed by identifiers for the set of habitat categories used for annotation (label scheme) and each discreet collection of annotation data (annotation set id). For details on the standardised survey procedures (specifically Digital Photo-quadrats in this case), please refer to the relevant Methods Manual (link provided in Distribution section)

Notes

Credit
Reef Life Survey and Australian Temperate Reef Collaboration partners
Credit
This research used Australia's Integrated Marine Observing System (IMOS) infrastructure for database support and storage. IMOS is enabled by the National Collaborative Research Infrastructure Strategy (NCRIS) and is operated by a consortium of institutions as an unincorporated joint venture, with the University of Tasmania as Lead Agent.
Credit
Squidle+, developed by Ariell Friedman (Greybits Engineering), underpins the Understanding Marine Imaging Facility, Integrated Marine Observing System. Development has also been supported by the Schmidt Ocean Institute, the Japan Agency for Marine-Earth Science and Technology, the Nectar science cloud.
Credit
The dataset collection described in this record was funded by the Australian Government Department of Climate Change, the Environment, Energy & Water (DCCEEW) through the NESP Marine and Coastal Hub. In addition to NESP (DCCEEW) funding, this project was supported by an equivalent amount of in-kind support and co-investment from project partners and collaborators.
Credit
This dataset collection forms part of the NESP MaC Project 5.9 ? Making marine environmental data more assessment ready, 2025 (UTAS, IMOS)","Reef Life Survey and Australian Temperate Reef Collaboration partners

Issued: 21 05 2021

Data time period: 2006-09-02

This dataset is part of a larger collection

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135,33 135,34 136,34 136,33 135,33

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130.5,32.5

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16.5,78.5

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-2.5,55.5

-6,54 -6,55 -5,55 -5,54 -6,54

-5.5,54.5

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-124.5,49.5

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-123.5,48

-126,50 -126,51 -125,51 -125,50 -126,50

-125.5,50.5

13,40 13,41 14,41 14,40 13,40

13.5,40.5

3,40 4,40 4,39 2,39 2,40 3,40

3,39.5

5,43 5,44 6,44 6,43 5,43

5.5,43.5

13,43 13,44 14,44 14,43 13,43

13.5,43.5

3,42 3,43 4,43 4,42 3,42

3.5,42.5

144,42 144,43 145,43 145,42 144,42

144.5,42.5

-71,42 -71,44 -69,44 -69,43 -70,43 -70,42 -71,42

-70,43

140,40 140,41 141,41 141,40 140,40

140.5,40.5

-122,36 -122,37 -121,37 -121,36 -122,36

-121.5,36.5

34,25 34,26 35,26 35,25 34,25

34.5,25.5

-17,28 -17,29 -16,29 -16,28 -17,28

-16.5,28.5

-19,27 -19,28 -17,28 -17,27 -19,27

-18,27.5

127,26 127,27 128,27 128,26 127,26

127.5,26.5

-81,25 -80,25 -80,24 -83,24 -83,25 -81,25

-81.5,24.5

35,23 35,25 36,25 36,23 35,23

35.5,24

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-81.5,13

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-72.5,21.5

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-81.5,19.5

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-88.5,16.5

166,11 166,12 167,12 167,11 166,11

166.5,11.5

169,10 169,11 170,11 170,10 169,10

169.5,10.5

102,10 102,11 104,11 104,10 102,10

103,10.5

-80,8 -80,9 -79,9 -79,10 -78,10 -78,8 -80,8

-79,9

-83,7 -83,8 -84,8 -84,9 -83,9 -83,10 -82,10 -82,8 -80,8 -80,7 -83,7

-82,8.5

95,5 95,6 96,6 96,5 95,5

95.5,5.5

-88,5 -88,6 -87,6 -87,5 -88,5

-87.5,5.5

74,4 74,3 72,3 72,5 74,5 74,4

73,4

-82,3 -82,5 -81,5 -81,3 -82,3

-81.5,4

-93,1 -93,2 -91,2 -91,1 -93,1

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55,-5 55,-4 56,-4 56,-5 55,-5

55.5,-4.5

150,-6 150,-5 151,-5 151,-6 150,-6

150.5,-5.5

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131,-1

152,-5 152,-4 153,-4 153,-5 152,-5

152.5,-4.5

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115.5,-8.5

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122.5,-8.5

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156.5,-8.5

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129.5,-9.5

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40.5,-10.5

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105.5,-10.5

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130.5,-10.5

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129.5,-11.5

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130.5,-12.5

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123.5,-12

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-171.5,-13.5

121,-15 121,-13 122,-13 122,-15 121,-15

121.5,-14

136,-15 136,-12 133,-12 133,-11 132,-11 132,-10 134,-10 134,-11 137,-11 137,-15 136,-15

134.5,-12.5

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-173.5,-15.5

140,-16 140,-15 141,-15 141,-16 140,-16

140.5,-15.5

137,-16 137,-15 138,-15 138,-16 137,-16

137.5,-15.5

123,-17 123,-16 124,-16 124,-17 123,-17

123.5,-16.5

-145,-16 -143,-16 -143,-17 -146,-17 -146,-16 -147,-16 -147,-15 -145,-15 -145,-16

-145,-16

139,-17 139,-16 140,-16 140,-17 139,-17

139.5,-16.5

39,-17 39,-16 40,-16 40,-17 39,-17

39.5,-16.5

-154,-17 -154,-16 -153,-16 -153,-17 -154,-17

-153.5,-16.5

-150,-18 -150,-17 -152,-17 -152,-16 -149,-16 -149,-18 -150,-18

-150.5,-17

148,-18 148,-17 149,-17 149,-18 148,-18

148.5,-17.5

155,-18 155,-17 156,-17 156,-18 155,-18

155.5,-17.5

118,-18 118,-17 120,-17 120,-18 118,-18

119,-17.5

-39,-19 -39,-18 -40,-18 -40,-17 -38,-17 -38,-19 -39,-19

-39,-18

-160,-19 -160,-18 -159,-18 -159,-19 -160,-19

-159.5,-18.5

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-163.5,-18

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-141,-18.5

146,-19 146,-17 145,-17 145,-15 144,-15 144,-14 143,-14 143,-11 141,-11 141,-10 144,-10 144,-9 145,-9 145,-11 144,-11 144,-13 145,-13 145,-14 146,-14 146,-16 147,-16 147,-15 148,-15 148,-17 147,-17 147,-18 148,-18 148,-19 146,-19

144.5,-14

152,-20 152,-18 150,-18 150,-17 149,-17 149,-16 151,-16 151,-17 153,-17 153,-20 152,-20

151,-18

119,-20 119,-19 120,-19 120,-20 119,-20

119.5,-19.5

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-169.5,-19

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155,-24 155,-22 153,-22 153,-21 154,-21 154,-20 155,-20 155,-21 156,-21 156,-24 155,-24

154.5,-22

152,-25 152,-24 150,-24 150,-23 152,-23 152,-22 153,-22 153,-25 152,-25

151.5,-23.5

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-128.5,-24.5

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116,-22

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149,-19.5

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-159.5,-21.5

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-175,-20

-106,-27 -106,-26 -105,-26 -105,-27 -106,-27

-105.5,-26.5

113,-27 113,-26 114,-26 114,-27 113,-27

113.5,-26.5

-110,-28 -110,-27 -109,-27 -109,-28 -110,-28

-109.5,-27.5

113,-29 113,-28 115,-28 115,-29 113,-29

114,-28.5

-178,-30 -178,-29 -177,-29 -177,-30 -178,-30

-177.5,-29.5

152,-33 152,-31 153,-31 153,-33 152,-33

152.5,-32

116,-33 116,-34 114,-34 114,-33 115,-33 115,-31 114,-31 114,-30 116,-30 116,-33

115,-32

134,-34 134,-32 135,-32 135,-34 134,-34

134.5,-33

151,-34 151,-33 152,-33 152,-34 151,-34

151.5,-33.5

23,-35 23,-33 24,-33 24,-35 23,-35

23.5,-34

18,-35 18,-34 19,-34 19,-35 18,-35

18.5,-34.5

136,-36 136,-35 137,-35 137,-34 138,-34 138,-35 139,-35 139,-36 136,-36

137.5,-35

167,-30 167,-28 168,-28 168,-30 167,-30

167.5,-29

159,-30 159,-29 160,-29 160,-30 159,-30

159.5,-29.5

153,-31 153,-26 154,-26 154,-31 153,-31

153.5,-28.5

159,-32 159,-31 160,-31 160,-32 159,-32

159.5,-31.5

-179,-32 -179,-30 -178,-30 -178,-32 -179,-32

-178.5,-31

117,-36 117,-35 119,-35 119,-36 117,-36

118,-35.5

151,-37 151,-38 148,-38 148,-37 150,-37 150,-35 151,-35 151,-37

149.5,-36.5

178,-37 178,-38 176,-38 176,-37 174,-37 174,-36 173,-36 173,-35 172,-35 172,-34 174,-34 174,-35 176,-35 176,-36 178,-36 178,-37

175,-36

-66,-42 -66,-41 -65,-41 -65,-42 -66,-42

-65.5,-41.5

-65,-43 -65,-42 -64,-42 -64,-43 -65,-43

-64.5,-42.5

147,-41 147,-40 146,-40 146,-39 144,-39 144,-37 146,-37 146,-38 147,-38 147,-39 148,-39 148,-41 147,-41

146,-39

-73,-43 -73,-42 -72,-42 -72,-43 -73,-43

-72.5,-42.5

145,-44 145,-43 147,-43 147,-42 148,-42 148,-44 145,-44

146.5,-43

-58,-52 -58,-51 -57,-51 -57,-52 -58,-52

-57.5,-51.5

-69,-56 -69,-54 -67,-54 -67,-55 -68,-55 -68,-56 -69,-56

-68,-55

text: uplimit=50; downlimit=0

Subjects
BENTHIC | Biotic taxonomic identification | CORAL REEF | Global / Oceans | Atlantic Ocean | Global / Oceans | Indian Ocean | Global / Oceans | Pacific Ocean | Global / Oceans | Southern Ocean | Global / Oceans | World | IMAGE PROCESSING | KELP FOREST | MACROALGAE (SEAWEEDS) | Marine Features (Australia) | Bass Strait, TAS/VIC | Marine Features (Australia) | Gulf St. Vincent, SA | Marine Imagery Sub-Facility, Integrated Marine Observing System (IMOS) | National Reef Monitoring Network Sub-Facility, Integrated Marine Observing System (IMOS) | Regional Seas | Arafura Sea | Regional Seas | Banda Sea | Regional Seas | Bismarck Sea | Regional Seas | Coral Sea | Regional Seas | Gulf of Thailand | Regional Seas | Red Sea | Regional Seas | Solomon Sea | Regional Seas | Tasman Sea | Regional Seas | Timor Sea | biota | diver | environment | oceans |

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Other Information
(NRMN page on IMOS website)

url : https://imos.org.au/auv/national-reef-monitoring-network

(View and download data though the AODN Portal)

url : https://portal.aodn.org.au/search?uuid=0a65be6d-1c76-49ac-a151-80acf123612c

(Data files via Amazon Web Services S3 storage - download link (full dataset))

url : https://aodn-cloud-optimised.s3.ap-southeast-2.amazonaws.com/diver_photoquadrat_score_qc.parquet/

(Data files accessible via Amazon S3 (public access, S3 URI))

local : s3://aodn-cloud-optimised/diver_photoquadrat_score_qc.parquet/

(Data files via Amazon Web Services S3 storage - download link (full dataset) - Darwin Core compliant data)

url : https://aodn-cloud-optimised.s3.ap-southeast-2.amazonaws.com/diver_photoquadrat_qc_DwC.parquet/

(Data files accessible via Amazon S3 (public access, S3 URI) - Darwin Core compliant data)

local : s3://aodn-cloud-optimised/diver_photoquadrat_qc_DwC.parquet/

(Website of Australian Temperate Reef Collaboration (ATRC))

url : https://atrc.au/

(Reef Life Survey Explorer)

url : https://reeflifesurvey.com/explorer/

(Squidle+ website)

url : https://squidle.org/

(Access to Edgar et. al. (2020) Biological Conservation paper)

doi : https://doi.org/10.1016/j.biocon.2020.108855

(CATAMI paper - RLS habitat categories extend this scheme)

url : https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0141039

(Reef Life Survey Methods Manual)

url : https://reeflifesurvey.com/wp-content/uploads/2019/02/NEW-Methods-Manual_150815.pdf

(Australian Temperate Reef Collaboration Methods Manual)

url : http://content.aodn.org.au/Documents/IMOS/Facilities/autonomous_underwater_vehicles/ATRC_Methods_Manual_2022.pdf

(NRMN Database QA/QC Protocols Manual)

url : https://content.aodn.org.au/Documents/IMOS/Facilities/autonomous_underwater_vehicles/IMOS_NRMN_QAQC_LATEST.pdf

(RLS Image Annotation Protocol Manual)

url : https://content.aodn.org.au/Documents/IMOS/Facilities/autonomous_underwater_vehicles/RLS_Image_Annotation_Protocol_LATEST.pdf

(Technical description of product)

url : https://content.aodn.org.au/Documents/IMOS/Facilities/autonomous_underwater_vehicles/IMOS_NRMN_Photo_Quadrat_Aggregated_Data_Product_Technical_Document_LATEST.pdf

(Access To AWS Open Data Program registry for the Cloud Optimised version of this dataset (data is not yet available))

url : https://registry.opendata.aws/

(Access to Jupyter notebook to query Cloud Optimised converted dataset)

url : https://github.com/aodn/aodn_cloud_optimised/blob/main/notebooks/diver_photoquadrat_score_qc.ipynb

global : 8cdcdcad-399b-4bed-8cb2-29c486b6b124

global : aeb0afce-7fc7-4d48-91fc-f7b8e730073c

local : 010x3gp67

local : 010x3gp67

local : 00arpt780

NESP MaC Project 5.9 ? Making marine environmental data more assessment ready, 2025 (UTAS, IMOS)

doi : 10.82210/a44c9c1d

Identifiers
  • global : 0a65be6d-1c76-49ac-a151-80acf123612c
ACN 633 798 857