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This information coupled with existing datasets (water bird observations) will be used to build upon current knowledge of water birds and their requirements within the basin.  This in turn will help inform environmental watering with a view to sustain and improve water bird breeding throughout the basin.\n\n\n","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"Freebairn, Andrew; Mokany, Karel; & Penton, Dave (2026): Two-monthly Water Bird Breeding Contributing Habitat Area. v2. CSIRO. Data Collection. https://doi.org/10.25919/zmed-1806","rights":"All Rights (including copyright) CSIRO 2022.","published":"2026-01-19T14:57:16.818+11:00","leadResearcher":"Andrew Freebairn","serviceCount":0,"spatialParameters":{"projection":"WGS84","northLatitude":"-24.57","southLatitude":"-37.68","westLongitude":"138.56","eastLongitude":"152.5"},"contributors":["Karel Mokany","Dave Penton"],"activity":{},"collectionType":"Data","domainType":"Everything Else","andsPid":"102.100.100/489691","doi":"10.25919/zmed-1806","project":{"irpHierarchy":true,"wbs":"R-13797","projectDescription":"Investing in new knowledge to evaluate and adapt the 2012 Murray-Darling Basin Plan"},"dataRestricted":"FALSE","dataVersionNumber":"2"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:73785"},"dataCollectionId":73785,"self":"https://data.csiro.au/dap/ws/v2/collections/73785","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:73785","fileUpload":false,"fileId":0},"title":"Summer Irrigated Areas and Irrigation Water Use for the Murray-Darling Basin from 1987 to 2024","description":"This dataset provides a 37‑year record (1987–1988 to 2023–2024) of summer irrigated areas and net irrigation water use (IWUnet) across the Murray–Darling Basin (MDB) at ~30 m spatial resolution. Irrigated areas are classified into six phenology‑based types representing major summer crops, pastures and orchards. The products were derived from gap‑free monthly Landsat‑based Normalised Difference Vegetation Index (NDVI) and actual evapotranspiration (ETa) time series, produced using a combination of spatiotemporal gap‑filling and Landsat–MODIS/VIIRS blending. Irrigation phenologies were first identified using Self‑Organising Maps (SOMs) applied to NDVI and ETa time series, and then mapped across the basin for all years using a supervised Pattern Recognition Neural Network (PRNN) (weighted Kappa = 0.91). Irrigation water use (IWUnet) was estimated per pixel using a monthly Thornthwaite–Mather soil water balance, separating green (rainfall-derived) and blue (irrigation-derived) ETa components. Validation was undertaken across multiple spatial scales using flux tower ETa, irrigation district annual reports, agricultural statistics, and MDB‑scale water accounting. Across most regions, both irrigated area and IWUnet exhibited high to moderate accuracy (typically R² > 0.8), with performance reflecting known spatial and temporal patterns in water availability and irrigation dynamics. This dataset provides the first multi-decadal, basin‑wide, high‑resolution record of irrigated extent and water use in the MDB and supports hydrological modelling, irrigation benchmarking, and long-term water resource assessment.","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"Pena Arancibia, Jorge; Yu, Yingying; McVicar, Tim; Van Niel, Tom; Chiew, Francis; Vleeshouwer, Jamie; & Dino, Aarond (2026): Summer Irrigated Areas and Irrigation Water Use for the Murray-Darling Basin from 1987 to 2024. v1. CSIRO. Data Collection. https://doi.org/10.25919/te6k-s377","rights":"All Rights (including copyright) CSIRO 2026.","published":"2026-03-30T14:31:22.887+11:00","leadResearcher":"Jorge Pena Arancibia","serviceCount":0,"spatialParameters":{"projection":"WGS84","northLatitude":"-26.5","southLatitude":"-37.0","westLongitude":"138.5","eastLongitude":"152.5"},"contributors":["Yingying Yu","Tim McVicar","Tom Van Niel","Francis Chiew","Jamie Vleeshouwer","Aarond Dino"],"activity":{},"collectionType":"Data","domainType":"Everything Else","andsPid":"102.100.100/733762","doi":"10.25919/te6k-s377","project":{"irpHierarchy":true,"wbs":"R-16389","projectDescription":"Murray-Darling Water and Environmental Research Program Stage 1"},"dataRestricted":"TRUE","dataVersionNumber":"1"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:61319"},"dataCollectionId":69188,"self":"https://data.csiro.au/dap/ws/v2/collections/69188","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:61319","fileUpload":false,"fileId":0},"title":"Coastal carbon - Australia's blue forest future - Water Levels","description":"Mean Sea Level (MSL) and Highest Astronomical Tide (HAT) for Australia. MSL is calculated by regression of the BRAN2020 derived Mean Dynamic Topography against the ABSLMP Tide Gauges reduced to the Australian Vertical Working Surface (AVWS) datum. \n\nHAT is calculated using the AUSTEN tidal model and corrected using MLP Regression against 710 AHO station observations. The vertical datum for HAT is (implicitly) MSL. The absolute height of HAT above AVWS is obtained by MSL + HAT (m above AVWS). \n\n","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"Branson, Paul (2025): Coastal carbon - Australia's blue forest future - Water Levels. v1. CSIRO. Data Collection. https://doi.org/10.25919/6672-jx11","rights":"All Rights (including copyright) CSIRO 2023.","published":"2025-10-09T17:05:03.731+11:00","leadResearcher":"Paul Branson","serviceCount":0,"spatialParameters":{"projection":"WGS84","northLatitude":"-9.5723","southLatitude":"-43.943999999999996","westLongitude":"108.8866","eastLongitude":"158.3564"},"contributors":[],"activity":{},"collectionType":"Data","domainType":"Everything Else","andsPid":"102.100.100/602910","doi":"10.25919/6672-jx11","project":{"irpHierarchy":true,"wbs":"R-16961","projectDescription":"Mapping the blue carbon mitigation opportunity in Australia"},"dataRestricted":"FALSE","dataVersionNumber":"1"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:65811"},"dataCollectionId":73695,"self":"https://data.csiro.au/dap/ws/v2/collections/73695","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:65811","fileUpload":false,"fileId":0},"title":"Inland water ecosystem condition variables and indicators at 100 m resolution for continental Australia: 2010 to 2023","description":"This data collection comprises ecosystem condition variables, ecosystem reference states for variables, and ecosystem condition indicators for the calendar years from 2010 to 2023 in two groupings to representing: 1) running waters (lotic ecosystems) and 2) standing waters (lentic ecosystems). Lotic ecosystems (rivers and streams) are represented by six ecosystem functional groups (EFGs) from the river and streams biome (F1) of the International Union for the Conservation of Nature Global Ecosystem Typology) (IUCN GET; Keith et al., 2022). The vector river and stream segment data for lotic ecosystems are derived from GeoFabric version 3.3 and refinements determined by the Australian Bureau of Statistics. Lentic ecosystems (lakes and wetlands) are represented by 11 EFGs across three biomes, namely lakes (F2), artificial wetlands (F3), and palustrine wetlands (FT1) of the IUCN-GET, as mapped for Australia at 100 m resolution by Macfarlane et al. (2025).\n\nData are provided in two spatial formats: vector data and relational tabular data in geodatabases, and raster data as single band GeoTiff layers. Vector data apply to river and stream segments, and raster data apply to standing waterbodies. Intermediate data derived during the process of developing the condition variables and indicators are also provided for potential other application use cases (note that these intermediate data are provided in GDA1994 Australian Albers). \n\nSome condition variables and indicators are defined annually from 2010 to 2023, utilising data from the Landsat archive Collection 3.0 managed by Geoscience Australia (Commonwealth of Australia, 2021) derivative products: Water Observations version 2.0.0 (Mueller et al., 2016; Geoscience Australia, 2022) and Fractional Cover version 4.0.0 (Lymburner, 2021). Others are derived from the three 5-year periods of national land use mapping (ABARES, 2024), and some are static (e.g., degree of river regulation; Linke et al., 2019, Lehner et al., 2022).\n\nThe spatial reference system is GDA2020 Australian Albers (EPSG:9473).\n\n\n\n\n\n\n\n","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"Chen, Yun; Giling, Darren; Giljohann, Kate; Botha, Hannelie; Williams, Kristen; Joehnk, Klaus; Liu, Ning; Richards, Anna; Tetreault Campbell, Sally; & Ferrier, Simon (2026): Inland water ecosystem condition variables and indicators at 100 m resolution for continental Australia: 2010 to 2023. v8. CSIRO. Data Collection. https://doi.org/10.25919/yavq-r570","rights":"All Rights (including copyright) CSIRO 2025.","published":"2026-03-17T16:46:26.972+11:00","leadResearcher":"Yun Chen","serviceCount":0,"spatialParameters":{"projection":"WGS84","northLatitude":"-6.098251944444444","southLatitude":"-47.902521944444445","westLongitude":"104.30321611111111","eastLongitude":"167.85181027777776"},"contributors":["Darren Giling","Kate Giljohann","Hannelie Botha","Kristen Williams","Klaus Joehnk","Ning Liu","Anna Richards","Sally Tetreault Campbell","Simon Ferrier"],"activity":{"activityTitle":"Developing Inland Water condition variables and indicators for National Ecosystem Accounts and other uses"},"collectionType":"Data","domainType":"Everything Else","andsPid":"102.100.100/733539","doi":"10.25919/yavq-r570","project":{"irpHierarchy":true,"wbs":"R-19972","projectDescription":"National Ecosystem Accounting Project"},"dataRestricted":"FALSE","dataVersionNumber":"8"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:74211"},"dataCollectionId":74211,"self":"https://data.csiro.au/dap/ws/v2/collections/74211","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:74211","fileUpload":false,"fileId":0},"title":"Image Collection - RV Investigator Voyage IN2023_V01 - Antarctic Bottom Water production in the past: Records from marine sediments, Cape Darnley, East Antarctica","description":"This data set contains the imagery collected on the Marine National Facility (MNF) RV Investigator voyage IN2023_V01, titled \"Antarctic Bottom Water production in the past: Records from marine sediments, Cape Darnley, East Antarctica.\" The voyage took place between January 25, 2023 and March 2, 2023 (AEST), departing from Fremantle and returning to Hobart, collecting imagery of benthic habitats together with oceanographic data.\n\nInstrument(s) used to collect this data:\nMNF Deep Towed camera (DTC)\n\nDatasets include: \nVideo (oblique forward view)\nStereo stills (oblique forward view)\nNavigational data","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"CSIRO; Marine National Facility; Post, Alix; Webb, David; Pietraroia, Ella; Van Graas, Steven; Coulson, Brendan; Crawford, Hanuman; Tyndall, Aaron; Jackett, Chris; & Carroll, Andrew (2026): Image Collection - RV Investigator Voyage IN2023_V01 - Antarctic Bottom Water production in the past: Records from marine sediments, Cape Darnley, East Antarctica. v1. CSIRO. Data Collection. https://doi.org/10.25919/9afw-2e86","rights":"All Rights (including copyright) CSIRO 2026.","published":"2026-04-27T23:38:42.399+10:00","leadResearcher":"CSIRO","serviceCount":0,"spatialParameters":{"projection":"WGS84","northLatitude":"-31.9416","southLatitude":"-65.8926","westLongitude":"64.0244","eastLongitude":"147.5122"},"contributors":["Marine National Facility","Alix Post","David Webb","Ella Pietraroia","Steven Van Graas","Brendan Coulson","Hanuman Crawford","Aaron Tyndall","Chris Jackett","Andrew Carroll"],"activity":{},"collectionType":"Data","domainType":"Everything Else","andsPid":"102.100.100/734530","doi":"10.25919/9afw-2e86","project":{"irpHierarchy":true,"wbs":"","projectDescription":"MNF"},"dataRestricted":"FALSE","dataVersionNumber":"1"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:73142"},"dataCollectionId":74098,"self":"https://data.csiro.au/dap/ws/v2/collections/74098","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:73142","fileUpload":false,"fileId":0},"title":"National data for Australia's ecosystem services: groundwater fraction of the total irrigation water use by state/territory, Australia: 2002-03 to 2023-24","description":"This collection was developed primarily to support national ecosystem accounting. It provides annual estimates of the groundwater fraction of irrigation water use for each Australian state and territory. The reported series covers financial years 2002–03 to 2023–24, with each reporting year defined from 1 July to 30 June.\n\nThe groundwater fraction is defined as the proportion of irrigation water use sourced from groundwater within a given state or territory in a given financial year. Estimates are reported as dimensionless fractions (0–1) and include associated standard errors to indicate uncertainty.\n\nThe primary estimates were generated using state- and territory-specific statistical models calibrated with data from 2010–11 to 2020–21 and then applied to reconstruct the full 2002–03 to 2023–24 series. Additional estimates based on temporal-block cross-validation (Temporal-block CV) and leave-one-out cross-validation (LOOCV) were generated using model building over 2005–06 to 2020–21 and are included for methodological comparison and robustness assessment.\n\nThe collection is provided as an Excel workbook with three worksheets:\n\nEstimated groundwater fraction of irrigation water use by state/territory, Australia, 2002–03 to 2023–24\nPrimary model-based estimates.\nEstimated groundwater fraction of irrigation water use by state/territory, Australia, 2005–06 to 2020–21 using the temporal-block cross-validation method\nEstimates derived using temporal-block cross-validation (Temporal-block CV).\nEstimated groundwater fraction of irrigation water use by state/territory, Australia, 2005–06 to 2020–21 using the leave-one-out cross-validation method\nEstimates derived using leave-one-out cross-validation (LOOCV).","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"Liu, Ning; Smith, Greg; Evans, David; McVicar, Tim; Pena Arancibia, Jorge; Tetreault Campbell, Sally; & Pascoe, Sean (2026): National data for Australia's ecosystem services: groundwater fraction of the total irrigation water use by state/territory, Australia: 2002-03 to 2023-24. v3. CSIRO. Data Collection. https://doi.org/10.25919/mwke-2z30","rights":"All Rights (including copyright) CSIRO 2026.","published":"2026-04-18T02:24:56.313+10:00","leadResearcher":"Ning Liu","serviceCount":0,"contributors":["Greg Smith","David Evans","Tim McVicar","Jorge Pena Arancibia","Sally Tetreault Campbell","Sean Pascoe"],"activity":{},"collectionType":"Data","domainType":"Everything Else","andsPid":"102.100.100/734398","doi":"10.25919/mwke-2z30","project":{"irpHierarchy":true,"wbs":"R-19972","projectDescription":"National Ecosystem Accounting Project"},"dataRestricted":"FALSE","dataVersionNumber":"3"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:66579"},"dataCollectionId":66579,"self":"https://data.csiro.au/dap/ws/v2/collections/66579","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:66579","fileUpload":false,"fileId":0},"title":"Hydrological and water quality data from LDC gully remediation demonstration sites in the Burdkein, Queensland.","description":"This is a collection of event runoff, suspended sediment concentration and suspended sediment yields from four  Treatment/Control gully pairs.","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"Hawdon, Aaron; Bartley, Bec; Henderson, Anne; Marano, Jordan; Wilkinson, Scott; Abbott, Brett; Morris, Juliet; & Murray, Bruce (2025): Hydrological and water quality data from LDC gully remediation demonstration sites in the Burdkein, Queensland.. v1. CSIRO. Data Collection. https://doi.org/10.25919/gs04-dy86","rights":"All Rights (including copyright) CSIRO 2025.","published":"2025-11-19T17:03:05.448+11:00","leadResearcher":"Aaron Hawdon","serviceCount":0,"spatialParameters":{"projection":"WGS84","northLatitude":"-20.1465","southLatitude":"-20.837799999999998","westLongitude":"147.2785","eastLongitude":"148.0321"},"contributors":["Bec Bartley","Anne Henderson","Jordan Marano","Scott Wilkinson","Brett Abbott","Juliet Morris","Bruce Murray"],"activity":{},"collectionType":"Data","domainType":"Everything Else","andsPid":"102.100.100/711398","doi":"10.25919/gs04-dy86","project":{"irpHierarchy":true,"wbs":"R-19060","projectDescription":"LDC - Assessing the Long Term Effectiveness of Gully Rehabilitation"},"dataRestricted":"FALSE","dataVersionNumber":"1"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:65792"},"dataCollectionId":65792,"self":"https://data.csiro.au/dap/ws/v2/collections/65792","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:65792","fileUpload":false,"fileId":0},"title":"The novel fungi of the rivers, creeks, lakes and dams of the Narrabri Region","description":"Collection of fungal data from water samples in and around the Narrabri region, NSW, Australia.","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"Porter, Kim (2026): The novel fungi of the rivers, creeks, lakes and dams of the Narrabri Region. v1. CSIRO. Data Collection. https://doi.org/10.25919/x5da-tx76","rights":"All Rights (including copyright) CSIRO 2025.","published":"2026-04-21T20:20:49.673+10:00","leadResearcher":"Kim Porter","serviceCount":0,"spatialParameters":{"projection":"WGS84","northLatitude":"-30.2954","southLatitude":"-30.8731","westLongitude":"149.2102","eastLongitude":"150.0685"},"contributors":[],"activity":{},"collectionType":"Data","domainType":"Everything Else","andsPid":"102.100.100/734453","doi":"10.25919/x5da-tx76","project":{"irpHierarchy":true,"wbs":"R-92702","projectDescription":"ER_Maint_Biogeochemistry Lab Lindfield"},"dataRestricted":"FALSE","dataVersionNumber":"1"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:64179"},"dataCollectionId":64179,"self":"https://data.csiro.au/dap/ws/v2/collections/64179","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:64179","fileUpload":false,"fileId":0},"title":"Continuous Water Quality Monitoring (CWQM) Instruments Database","description":"Continuous Water Quality Monitoring (CWQM) refers to the application of in situ instrumentation coupled with operational and analytical methodologies that enable acquisition of temporally and (or) spatially dense datasets without the need for routine collection and analysis of physical samples other than for periodic calibration purposes. \n\nThis data collection contains the results of an evaluation of commercially available CWM instruments for deployment in Queensland estuarine and marine settings.  The instruments were evaluated on criteria which included (i) utility of analyte to both modelling and monitoring requirements, (ii) ability to\nmeasure analyte concentrations accurately and capture relevant temporal and spatial variability, (iii) cost, both capital and ongoing operational, (iv) logistics, including maintenance requirements, mounting, telemetry infrastructure and site access, and (v) ease of instrument operation and the required effort for information to be understood and applied. \n\nThis information was used to inform the strategy for implementing a CWQM program to support the eReefs research platform (please refer to the linked publication for details)\n\nImportant Disclaimer\nThe information contained in this datasets includes general statements based on scientific research and on evaluation of instruments as they were at a particular point in time for a specific set of purposes.  This information may be obsolete, incomplete or unable to be used in any specific situation. Reuse it at your own risk.","licence":"Creative Commons Attribution-Noncommercial 4.0 Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1181","fileUpload":false,"fileId":0},"attributionStatement":"Steven, Andy; Hodge, Jonathan; Cannard, Toni; Carlin, Geoffrey; McJannet, David; Moeseneder, Chris; Searle, Ross; & Tickell, Sharon (2025): Continuous Water Quality Monitoring (CWQM) Instruments Database. v1. CSIRO. Data Collection. https://doi.org/10.25919/9svr-zy26","rights":"All Rights (including copyright) CSIRO 2024.","published":"2025-02-25T12:26:14.067+11:00","leadResearcher":"Andy Steven","serviceCount":0,"contributors":["Jonathan Hodge","Toni Cannard","Geoffrey Carlin","David McJannet","Chris Moeseneder","Ross Searle","Sharon Tickell"],"activity":{},"collectionType":"Data","domainType":"Everything Else","andsPid":"102.100.100/661200","doi":"10.25919/9svr-zy26","project":{"irpHierarchy":true,"wbs":"R-00924","projectDescription":"eReefs - Science of GBR"},"dataRestricted":"FALSE","dataVersionNumber":"1"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:64625"},"dataCollectionId":64625,"self":"https://data.csiro.au/dap/ws/v2/collections/64625","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:64625","fileUpload":false,"fileId":0},"title":"Current and future water availability: Lower Limestone Coast","description":"This is an R Shiny APP to visualise key outputs of the study.","licence":"Creative Commons Attribution-ShareAlike 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1222","fileUpload":false,"fileId":0},"attributionStatement":"Gibbs, Matt; Montazeri, Mahdi; Yang, Ang; Wang, Bill; & Crosbie, Russell (2025): Current and future water availability: Lower Limestone Coast. v1. 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Service Collection. http://hdl.handle.net/102.100.100/701546?index=1","rights":"All Rights (including copyright) CSIRO 2025.","published":"2025-03-17T16:13:59.052+11:00","leadResearcher":"Matt Gibbs","serviceCount":0,"spatialParameters":{"projection":"GDA94","northLatitude":"-36.82590003604797","southLatitude":"-38.08900003738624","westLongitude":"139.7718","eastLongitude":"141.0105"},"contributors":["Mahdi Montazeri","Ang Yang","Bill Wang","Russell Crosbie"],"activity":{},"collectionType":"Service","domainType":"Everything Else","andsPid":"102.100.100/701546","doi":null,"project":{"irpHierarchy":true,"wbs":"R-19016","projectDescription":"Adaptation of the South-Eastern drainage system under a changing climate"},"dataRestricted":"N/A","dataVersionNumber":"1","softwareVersionNumber":"1"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:65809"},"dataCollectionId":72210,"self":"https://data.csiro.au/dap/ws/v2/collections/72210","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:65809","fileUpload":false,"fileId":0},"title":"National data for Australia's ecosystem services: irrigated agricultural water supply and use (100 m resolution): 2001-02 to 2023-24","description":"This collection provides data created primarily for the purposes of national ecosystem services accounts. The data provide estimates of irrigation water use and ecosystem-derived water supply covering all irrigated agricultural land across Australia. The data cover 2001–02 to 2023–24 and are reported by financial year (1 July to the following June 30). For example, for the 2001–02 financial year the files have 2002 in the filename. The data comprise spatial and tabular data as follows:\n•\tirrigation water use (GeoTIFF 100 m grid)\n–\tirrigation water use by State/Territory (Excel)\n–\tirrigation water use by Statistical Area Level 4 (SA4) (Excel)\n–\tirrigation water use by Statistical Area Level 2 (SA2) (Excel)\n•\tarea of estimated irrigated agricultural land (GeoTIFF 100 m grid)\n•\tecosystem-derived water supply by ecosystem type (Excel).","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"Liu, Ning; Smith, Greg; Evans, David; McVicar, Tim; Tetreault Campbell, Sally; & Pascoe, Sean (2025): National data for Australia's ecosystem services: irrigated agricultural water supply and use (100 m resolution): 2001-02 to 2023-24. v4. CSIRO. Data Collection. https://doi.org/10.25919/13c9-yw59","rights":"All Rights (including copyright) CSIRO 2005.","published":"2025-12-22T17:13:35.388+11:00","leadResearcher":"Ning Liu","serviceCount":0,"spatialParameters":{"projection":"WGS84","northLatitude":"-8.1388","southLatitude":"-44.3186","westLongitude":"109.5043","eastLongitude":"157.2168"},"contributors":["Greg Smith","David Evans","Tim McVicar","Sally Tetreault Campbell","Sean Pascoe"],"activity":{},"collectionType":"Data","domainType":"Everything Else","andsPid":"102.100.100/712067","doi":"10.25919/13c9-yw59","project":{"irpHierarchy":true,"wbs":"R-19972","projectDescription":"National Ecosystem Accounting Project"},"dataRestricted":"FALSE","dataVersionNumber":"4"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:73096"},"dataCollectionId":73096,"self":"https://data.csiro.au/dap/ws/v2/collections/73096","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:73096","fileUpload":false,"fileId":0},"title":"Testing eDNA sampling approaches in tropical waterways","description":"In this study, we optimised methodology for a citizen science project targeting fish taxa, ensuring simple, safe, and effective eDNA sampling. We compared species richness and composition of fish eDNA data obtained from a single type of passive sampler with that obtained from Longmire's preserved water samples at three waterways in north Queensland, Australia. ","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"Stephenson, Sarah; Collins, Geoffrey; Villacorta-Rath, Cecilia; Hook, Sharon; & Greenfield, Paul (2026): Testing eDNA sampling approaches in tropical waterways. v1. CSIRO. Data Collection. https://doi.org/10.25919/3zr8-4c11","rights":"All Rights (including copyright) CSIRO, James Cook University 2026.","published":"2026-03-11T14:28:01.155+11:00","leadResearcher":"Sarah Stephenson","serviceCount":0,"spatialParameters":{"projection":"WGS84","northLatitude":"-17.607000000000003","southLatitude":"-20.711","westLongitude":"145.99499999999998","eastLongitude":"148.592"},"contributors":["Geoffrey Collins","Cecilia Villacorta-Rath","Sharon Hook","Paul Greenfield"],"activity":{},"collectionType":"Data","domainType":"Everything Else","andsPid":"102.100.100/733468","doi":"10.25919/3zr8-4c11","project":{"irpHierarchy":true,"wbs":"","projectDescription":"Acquired"},"dataRestricted":"FALSE","dataVersionNumber":"1"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:61795"},"dataCollectionId":64306,"self":"https://data.csiro.au/dap/ws/v2/collections/64306","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:61795","fileUpload":false,"fileId":0},"title":"Norfolk Island Marine Water Quality Monitoring Data 2022-2024","description":"This dataset is the Norfolk Island marine water quality monitoring data collected from April 2022 to April 2024 as part of the Norfolk Island Water Resource Assessment (NIWRA). It was used to derive site-specific marine water quality guidelines for Norfolk Island.\n\nSeawater samples were collected from sites in Slaughter Bay (SB), Emily Bay (EB) and Cemetery Bay (CB) where the health of the coral reef was affected. Seawater samples were also collected from non-contaminated reference sites in Cascade Bay (R1), Duncombe Bay (R2), Anson Bay (R3) and Ball Bay (R4). Monthly sampling was performed at the reference sites when possible. Sampling was performed on six occasions for the remaining sites when possible. These samples were collected under baseline conditions where there was minimal rain leading up to the collection date. Samples were also collected as soon as possible after six rain events (defined as greater than 20 mm rain in the previous 24-48 h).\n\nWater chemistry parameters measured were: physico-chemistry (temperature, pH, dissolved oxygen, conductivity, salinity, turbidity, total suspended solids, alkalinity, dissolved organic carbon, chlorophyll a); nutrients (reactive silica, ammonia, nitrite, nitrate, nitrite + nitrate (NOx), total kjeldahl nitrogen, total nitrogen, dissolved reactive phosphorus, total phosphorus); filtered and unfiltered metal(loid)s; polycyclic aromatic hydrocarbons; pesticides.\n\nPassive samplers were also used to detect ultra-trace organic compounds such as polycyclic aromatic hydrocarbons, pesticides, personal care products and per- and polyfluoroalkyl substances.\n\n\n\n","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"Golding, Lisa; Vanderzalm, Joanne; Currie, Sharon; Donaldson, Douglas; Greenwood, Derek; Lamontagne, Sebastien; Tavener, Neil; & Taylor, Nathan (2024): Norfolk Island Marine Water Quality Monitoring Data 2022-2024. v1. CSIRO. Data Collection. https://doi.org/10.25919/fn2e-8h32","rights":"All Rights (including copyright) CSIRO 2024.","published":"2024-12-12T11:03:40.727+11:00","leadResearcher":"Lisa Golding","serviceCount":0,"spatialParameters":{"projection":"WGS84","northLatitude":"-28.99","southLatitude":"-29.0675","westLongitude":"167.91","eastLongitude":"168.0"},"contributors":["Joanne Vanderzalm","Currie, Sharon","Douglas Donaldson","Greenwood, Derek","Lamontagne, Sebastien","Tavener, Neil","Nathan Taylor"],"activity":{"activityTitle":"NIWRA - marine water quality"},"collectionType":"Data","domainType":"Everything Else","andsPid":"102.100.100/659846","doi":"10.25919/fn2e-8h32","project":{"irpHierarchy":true,"wbs":"R-13278","projectDescription":"Norfolk Island Water Resource Assessment"},"dataRestricted":"FALSE","dataVersionNumber":"1"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:66396"},"dataCollectionId":69197,"self":"https://data.csiro.au/dap/ws/v2/collections/69197","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:66396","fileUpload":false,"fileId":0},"title":"2024 Breeza Long Coleoptile Wheat Trials: Multi-Environment Evaluation of Genotypic and Agronomic Interactions Across Depth, Seed Size, and Water Regimes","description":"This dataset comprises comprehensive agronomic and phenotypic data from the 2024 long coleoptile wheat trials conducted at Breeza, New South Wales, Australia. The trials include four major experiments: N_MET_24 (multi-environment trial), N_Durum_24 (durum wheat trial), Seed_size (seed size and depth interaction), and Victrado (water regime and depth interaction). The trials were established on 36 ranges with 5 rows per bed, 2-meter bed centres, and 11-meter ranges (10.8 meters planted). Fertilisation included 238 kg/ha of urea and 70 kg/ha of Granulock Z Extra Treated starter. Herbicide applications included Axil Xtra, Starane, MCPA, and Metsulfuron. Sowing occurred in two time-of-sowing (TOS) windows: TOS1 on 28 May and TOS2 on 4 July 2024. The trials evaluated multiple genotypes including Mace, Mace18, Scepter, Magenta, Magenta13, Calibre, Westcourt, V190245-6, and Sunchaser, under varying treatments such as sowing depth (4 cm and 12 cm), seed size (small and large), FCR resistance (plus/minus), and water regimes (well-watered and dryland). The dataset includes over 450 unique plots across the trials. Variables recorded include emergence and plant counts (outside and inside row counts, plants per square meter), seedling traits (depth and length), Zadok growth stage scores, dry biomass at GS32, and final harvest metrics such as yield (T/ha), protein content, test weight, grain weight, and grain size. Temperature logger data and phenological observations are also included. Data is structured across multiple sheets, each corresponding to a specific trial or measurement type, with consistent identifiers for site, trial, TOS, genotype, depth, and treatment. The dataset enables analysis of genotype-by-environment interactions, agronomic performance under deep sowing, and the influence of seed size and water availability on wheat establishment, growth, and yield.","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"Rebetzke, Greg (2025): 2024 Breeza Long Coleoptile Wheat Trials: Multi-Environment Evaluation of Genotypic and Agronomic Interactions Across Depth, Seed Size, and Water Regimes. v1. CSIRO. Data Collection. https://doi.org/10.25919/9xgy-bn44","rights":"All Rights (including copyright) CSIRO 2025.","published":"2025-10-16T12:14:21.510+11:00","leadResearcher":"Greg Rebetzke","serviceCount":0,"spatialParameters":{"projection":"WGS84","southLatitude":"-31.2502","westLongitude":"150.4571"},"contributors":[],"activity":{"activityTitle":"Detailing seedling and plant response to deep sowing "},"collectionType":"Data","domainType":"Everything Else","andsPid":"102.100.100/709854","doi":"10.25919/9xgy-bn44","project":{"irpHierarchy":true,"wbs":"R-19368","projectDescription":"GRDC: CSP2212-007RTX Integrating long coleoptile wheat into Australian farming systems"},"dataRestricted":"TRUE","dataVersionNumber":"1"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:64062"},"dataCollectionId":64062,"self":"https://data.csiro.au/dap/ws/v2/collections/64062","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:64062","fileUpload":false,"fileId":0},"title":"Monthly Maximum Flood Water Depth Spatial Timeseries for the Murray-Darling Basin","description":"This dataset is an enhanced version of the Two-Monthly Maximum Flood Water Depth Spatial Time Series for the Murray-Darling Basin (MDB) (https://doi.org/10.25919/c5ab-h019). It now provides monthly spatial layers, representing the maximum surface water extent and water depth within each monthly period across the MDB from 2016 to 2024. The dataset was developed using the Multi-Index Method (MIM) for surface water mapping (https://data.csiro.au/collection/csiro:63897, please refer to the metadata of this dataset for details) and a Digital Elevation Model (DEM) (https://data.csiro.au/collection/csiro:64136) processed with the Floodwater Depth Estimation Tool (FwDET). Key improvements in this version include:\n•\tTransition from two-monthly to monthly frequency.\n•\tIntegration of Sentinel-2 data from 2016 onwards.\n•\tCoverage updated to June 2024.\n•\tEnhanced water detection in wetlands and vegetated areas using advanced remote sensing imagery.\n•\tImproved cloud masking algorithms for greater accuracy.\n•\tMore precise water depth estimation through the incorporation of a bathymetry-enforced DEM.\n\nThese updates make the dataset more detailed and reliable, supporting advanced analysis and decision-making for floodplain and water resource management in the Murray-Darling Basin. This dataset offers 8.5 years of monthly images of surface water depth across the entire MDB. \n\nThe file format is Cloud Optimised Geotiff (COG). The data type for the files is uint16. The unit of the data is in millimetres. The maximum depth is 65534mm; minimum water depth is 1mm; value 0 represents dry land; and value 65535 represents no-data. The file format is Cloud Optimised Geotiff (COG) and the projection used is EPSG:4326.\n","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"Teng, Jin; Ticehurst, Catherine; Bridgart, Robert; Yang, Ang; Marvanek, Steve; Penton, Dave; Austin, Jenet; Vaze, Jai; Khanam, Fathaha; Brennan, Eilish; Davis, Sam; Townsend, Anthony; Price, Rodney; & Miles, Matthew (2025): Monthly Maximum Flood Water Depth Spatial Timeseries for the Murray-Darling Basin. v1. CSIRO. Data Collection. https://doi.org/10.25919/sext-n863","rights":"All Rights (including copyright) Murray-Darling Basin Authority 2024.","published":"2025-01-24T01:11:31.447+11:00","leadResearcher":"Jin Teng","serviceCount":0,"spatialParameters":{"projection":"GDA94","northLatitude":"-24.570000017348388","southLatitude":"-37.680000036973304","westLongitude":"138.56","eastLongitude":"152.5"},"contributors":["Catherine Ticehurst","Robert Bridgart","Ang Yang","Steve Marvanek","Dave Penton","Jenet Austin","Jai Vaze","Fathaha Khanam","Eilish Brennan","Sam Davis","Anthony Townsend","Rodney Price","Matthew Miles"],"activity":{"activityTitle":"RQ 7"},"collectionType":"Data","domainType":"Everything Else","andsPid":"102.100.100/659610","doi":"10.25919/sext-n863","project":{"irpHierarchy":true,"wbs":"R-16389","projectDescription":"Murray-Darling Water and Environmental Research Program Stage 1"},"dataRestricted":"FALSE","dataVersionNumber":"1"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:63417"},"dataCollectionId":63417,"self":"https://data.csiro.au/dap/ws/v2/collections/63417","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:63417","fileUpload":false,"fileId":0},"title":"Earth Observation aLMI Derived Water Quality Products for Melbourne Water's WTP","description":"Products outputs produced by CSIRO from the H2020 PrimeWater project for the Melbourne Water's Western Treatment plant at Werribee, Victoria, Australia.","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"Anstee, Janet; Drayson, Nathan; Botha, Hannelie; & Kerrisk, Gemma (2025): Earth Observation aLMI Derived Water Quality Products for Melbourne Water's WTP. v1. CSIRO. Data Collection. https://doi.org/10.25919/0qqg-rw20","rights":"All Rights (including copyright) CSIRO 2023.","published":"2025-01-16T09:48:27.377+11:00","leadResearcher":"Janet Anstee","serviceCount":0,"spatialParameters":{"projection":"WGS84","northLatitude":"-37.958800000000004","southLatitude":"-38.038199999999996","westLongitude":"144.52100000000002","eastLongitude":"144.6868"},"contributors":["Nathan Drayson","Hannelie Botha","Gemma Kerrisk"],"activity":{"activityTitle":"Earth Observation derived Water Quality Products for Melbourne Water's WWTPe timeseries"},"collectionType":"Data","domainType":"Everything Else","andsPid":"102.100.100/660442","doi":"10.25919/0qqg-rw20","project":{"irpHierarchy":true,"wbs":"R-14488","projectDescription":"EU Horizon 2020 - PrimeWater"},"dataRestricted":"FALSE","dataVersionNumber":"1"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:40246"},"dataCollectionId":40246,"self":"https://data.csiro.au/dap/ws/v2/collections/40246","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:40246","fileUpload":false,"fileId":0},"title":"BRANZ Household Hot Water Use Performance 2008","description":"This data file consists of the average daily hot water use of 39 homes distributed throughout Auckland, Wellington, Christchurch and Dunedin.  Thirty-five of the homes had solar water heaters and 4 had heat pump water heaters installed.  The water use was monitored for just over one year.  The data file consists of two columns: (1) number of household occupants, and (2) daily water use (L/day).","licence":"Creative Commons Attribution Noncommercial-Share Alike 4.0 Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1202","fileUpload":false,"fileId":0},"attributionStatement":"Wang, Chi-Hsiang (2024): BRANZ Household Hot Water Use Performance 2008. v1. CSIRO. Data Collection. https://doi.org/10.25919/nznm-kf56","rights":"All Rights (including copyright) CSIRO, Sustainable Energy Transformation 2019.","published":"2024-06-28T15:27:43.294+10:00","leadResearcher":"Chi-Hsiang Wang","serviceCount":0,"spatialParameters":{"projection":"WGS84","northLatitude":"-34.0","southLatitude":"-48.0","westLongitude":"172.0","eastLongitude":"179.0"},"contributors":[],"activity":{},"collectionType":"Data","domainType":"Everything Else","andsPid":"102.100.100/635935","doi":"10.25919/nznm-kf56","project":{"irpHierarchy":true,"wbs":"R-91221","projectDescription":"EE_BSC_Sustainable Energy transformaitons statistical advice"},"dataRestricted":"FALSE","dataVersionNumber":"1"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:52097"},"dataCollectionId":62868,"self":"https://data.csiro.au/dap/ws/v2/collections/62868","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:52097","fileUpload":false,"fileId":0},"title":"Top Soil Water and temperature study at Meckering","description":"Data was collected for validation of APSIM-SWIM modelling of soil moisture in shallow (< 200 mm) soils layers. Datasets containing moisture data for fine scale layers (less than 100 mm) are very scarce but integral to ground truthing modelling of soil moisture near the surface. \nThe data was collected using SMT-100 soil moisture probes, Thermochron ibutton DS1923 Temperature and humidity loggers, Thermochron ibutton DS1923 Temperature and tipping bucket rain guage. The SMT-100 soil moisture probe uses a Time Domain Transmission (TDT) technology. The SMT-100 determines the volumetric water content and the soil temperature. The probes and/or ibuttons were placed at 1cm, 2cm, 3cm, 5cm, 7cm, 10cm, 15cm and 20cm at 2 field sites. The sites were at Merredin in a red clay and at Meckering in a grey sand.\n","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"Treble, Karen; & Rich, Sarah (2024): Top Soil Water and temperature study at Meckering. v1. CSIRO. Data Collection. https://doi.org/10.25919/vkd8-yt52","rights":"All Rights (including copyright) CSIRO 2021.","published":"2024-07-18T16:17:42.634+10:00","leadResearcher":"Karen Treble","serviceCount":0,"spatialParameters":{"projection":"WGS84","southLatitude":"-31.57","westLongitude":"117.11999999999999"},"contributors":["Sarah Rich"],"activity":{},"collectionType":"Data","domainType":"Everything Else","andsPid":"102.100.100/422733","doi":"10.25919/vkd8-yt52","project":{"irpHierarchy":true,"wbs":"R-11644","projectDescription":"GRDC: 9176490 Post Doctoral Fellowship - Managing soil constraints with On-Row Seeding Systems for the Low Rainfall Zone – Aligned to CSA00056"},"dataRestricted":"TRUE","dataVersionNumber":"1"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:52095"},"dataCollectionId":62870,"self":"https://data.csiro.au/dap/ws/v2/collections/62870","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:52095","fileUpload":false,"fileId":0},"title":"Top Soil Water and temperature study at Merredin","description":"Data was collected for validation of APSIM-SWIM modelling of soil moisture in shallow (< 200 mm) soils layers. Datasets containing moisture data for fine scale layers (less than 100 mm) are very scarce but integral to ground truthing modelling of soil moisture near the surface. \nThe data was collected using SMT-100 soil moisture probes, Thermochron ibutton DS1923 Temperature and humidity loggers, Thermochron ibutton DS1923 Temperature and tipping bucket rain gauge. The SMT-100 soil moisture probe uses a Time Domain Transmission (TDT) technology. The SMT-100 determines the volumetric water content and the soil temperature. The probes and/or ibuttons were placed at 1cm, 2cm, 3cm, 5cm, 7cm, 10cm, 15cm and 20cm at 2 field sites. The sites were at Merredin in a red clay and at Meckering in a grey sand.\n","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"Treble, Karen; & Rich, Sarah (2024): Top Soil Water and temperature study at Merredin. v1. CSIRO. Data Collection. https://doi.org/10.25919/wrew-jx59","rights":"All Rights (including copyright) CSIRO 2021.","published":"2024-07-18T16:17:42.464+10:00","leadResearcher":"Karen Treble","serviceCount":0,"spatialParameters":{"projection":"WGS84","southLatitude":"-31.45","westLongitude":"118.22"},"contributors":["Sarah Rich"],"activity":{},"collectionType":"Data","domainType":"Everything Else","andsPid":"102.100.100/440647","doi":"10.25919/wrew-jx59","project":{"irpHierarchy":true,"wbs":"R-11644","projectDescription":"GRDC: 9176490 Post Doctoral Fellowship - Managing soil constraints with On-Row Seeding Systems for the Low Rainfall Zone – Aligned to CSA00056"},"dataRestricted":"TRUE","dataVersionNumber":"1"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:64061"},"dataCollectionId":64061,"self":"https://data.csiro.au/dap/ws/v2/collections/64061","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:64061","fileUpload":false,"fileId":0},"title":"Two-monthly Maximum Flood Water Depth Spatial Timeseries for the Murray-Darling Basin Version 2024","description":"This dataset is an updated version of the Two-Monthly Maximum Flood Water Depth Spatial Time Series for the Murray-Darling Basin (MDB) (https://doi.org/10.25919/c5ab-h019). It provides two-monthly spatial layers representing the maximum surface water extent and water depth within each two-month period across the MDB from 1988 to 2024. The dataset was developed using the Multi-Index Method (MIM) for surface water mapping (https://data.csiro.au/collection/csiro:63899, please refer to the metadata of this dataset for details) and a Digital Elevation Model (DEM) (https://data.csiro.au/collection/csiro:64136) processed with the Floodwater Depth Estimation Tool (FwDET). Key improvements in this version include:\n•\tCoverage updated to June 2024.\n•\tEnhanced water detection in wetlands and vegetated areas using remote sensing imagery.\n•\tImproved cloud masking algorithms.\n•\tMore accurate water depth estimation through the use of a bathymetry-enforced DEM.\n\nThis updated dataset offers 36.5 years of two-monthly images of surface water depth across the entire MDB. The file format is Cloud Optimised Geotiff (COG). The data type for the files is uint16. The unit of the data is in millimetres. The maximum depth is 65534mm; minimum water depth is 1mm; value 0 represents dry land; and value 65535 represents no-data. The file format is Cloud Optimised Geotiff (COG) and the projection used is EPSG:4326.\n","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"Teng, Jin; Ticehurst, Catherine; Bridgart, Robert; Yang, Ang; Marvanek, Steve; Penton, Dave; Austin, Jenet; Vaze, Jai; Khanam, Fathaha; Brennan, Eilish; Davis, Sam; Townsend, Anthony; Price, Rodney; & Miles, Matthew (2025): Two-monthly Maximum Flood Water Depth Spatial Timeseries for the Murray-Darling Basin Version 2024. v1. CSIRO. Data Collection. https://doi.org/10.25919/t3rv-zx73","rights":"All Rights (including copyright) Murray-Darling Basin Authority 2024.","published":"2025-01-24T01:11:34.510+11:00","leadResearcher":"Jin Teng","serviceCount":0,"spatialParameters":{"projection":"GDA94","northLatitude":"-24.570000017348388","southLatitude":"-37.680000036973304","westLongitude":"138.56","eastLongitude":"152.5"},"contributors":["Catherine Ticehurst","Robert Bridgart","Ang Yang","Steve Marvanek","Dave Penton","Jenet Austin","Jai Vaze","Fathaha Khanam","Eilish Brennan","Sam Davis","Anthony Townsend","Rodney Price","Matthew Miles"],"activity":{"activityTitle":"RQ 7"},"collectionType":"Data","domainType":"Everything Else","andsPid":"102.100.100/659609","doi":"10.25919/t3rv-zx73","project":{"irpHierarchy":true,"wbs":"R-16389","projectDescription":"Murray-Darling Water and Environmental Research Program Stage 1"},"dataRestricted":"FALSE","dataVersionNumber":"1"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:63899"},"dataCollectionId":63899,"self":"https://data.csiro.au/dap/ws/v2/collections/63899","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:63899","fileUpload":false,"fileId":0},"title":"Maximum two-monthly surface water extent for MDB from MIM - Version 2024","description":"The multi-index method (MIM) (refer to Ticehurst, Teng and Sengupta 2022 in the Related Links for a description of the method) was developed for mapping surface water across the Murray-Darling Basin (MDB) based on Landsat surface reflectance data available in Digital Earth Australia. More than thirty years of two-monthly images of surface water extent across the whole MDB have been produced using this method. This product was developed as part of the Murray-Darling Water and Environment Research Program (MD-WERP) project under Research Question 7 (RQ 7) (although the original Landsat MIM was developed as part of the Murray-Darling Basin Ecosystem Function (MDB-EF) project).  The MD-WERP represents a collaborative effort between Commonwealth partners - including the Department of Agriculture, Water and the Environment, the Commonwealth Environmental Water Holder, and the Murray-Darling Basin Authority - and a research consortium, with funding provided by the Australian Government. RQ7 specifically focuses on advancing research to improve floodplain inundation and volume prediction. This is an updated version of this product (produced in 2024) , spanning from 1988 to June 2024. The data format as well as difference between this version and the original versions are described in the metadata document (see Supporting files). ","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"Ticehurst, Catherine; Bridgart, Robert; Penton, Dave; Teng, Jin; & Yang, Ang (2024): Maximum two-monthly surface water extent for MDB from MIM - Version 2024. v1. CSIRO. Data Collection. https://doi.org/10.25919/zjec-k149","rights":"All Rights (including copyright) Murray-Darling Basin Authority 2024.","published":"2024-12-06T10:30:38.908+11:00","leadResearcher":"Catherine Ticehurst","serviceCount":0,"spatialParameters":{"projection":"WGS84","northLatitude":"-24.57","southLatitude":"-37.680121666666665","westLongitude":"138.56","eastLongitude":"152.5000263888889"},"contributors":["Robert Bridgart","Dave Penton","Jin Teng","Ang Yang"],"activity":{},"collectionType":"Data","domainType":"Everything Else","andsPid":"102.100.100/659690","doi":"10.25919/zjec-k149","project":{"irpHierarchy":true,"wbs":"R-16389","projectDescription":"Murray-Darling Water and Environmental Research Program Stage 1"},"dataRestricted":"FALSE","dataVersionNumber":"1"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:59757"},"dataCollectionId":63116,"self":"https://data.csiro.au/dap/ws/v2/collections/63116","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:59757","fileUpload":false,"fileId":0},"title":"Archival chromatin sequencing in eastern water dragon museum specimens","description":"The data consist of 150 bp paired-end Illumina sequencing reads from chromatin conformation assay of 5 archival eastern water dragon (Intellagama lesueurii lesueurii) specimens and whole genome sequencing of three contemporary specimens. The archival specimens, collected between 1905 and 2001, were spirit-preserved and formalin-exposed. Archival liver tissue was dissected and subjected to MNase treatment heavily optimised for archival tissues. The contemporary specimens had been euthanised due to injury in accordance with Queensland Department of Environment and Sciences permit WA0038029 (Australian Ethics Committee number ANA20161, University of Sunshine Coast). From these fresh specimens, we extracted approximately 5 mg of liver tissue per specimen with the Qiagen AllPrep kit. The extracted or enriched DNA was then prepared for sequencing using an IDT xGEN Prism library prep kit.\n\nThe data were generated as part of a collaboration with Celine Frere at the University of Queensland.","licence":"Creative Commons Attribution-Noncommercial 4.0 Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1181","fileUpload":false,"fileId":0},"attributionStatement":"Hahn, Erin; Stiller, Jiri; Alexander, Marina; Grealy, Alicia; Taylor, Jen; Kent, Nicola; Frere, Celine; & Holleley, Clare (2024): Archival chromatin sequencing in eastern water dragon museum specimens. v1. CSIRO. Data Collection. https://doi.org/10.25919/eezr-h546","rights":"All Rights (including copyright) CSIRO 2023.","published":"2024-08-01T10:49:53.303+10:00","leadResearcher":"Erin Hahn","serviceCount":0,"contributors":["Jiri Stiller","Marina Alexander","Alicia Grealy","Jen Taylor","Nicola Kent","Celine Frere","Clare Holleley"],"activity":{},"collectionType":"Data","domainType":"Everything Else","andsPid":"102.100.100/602679","doi":"10.25919/eezr-h546","project":{"irpHierarchy":true,"wbs":"R-14486","projectDescription":"Environomics FSP Phase 2 -  Museum Epigenomics"},"dataRestricted":"FALSE","dataVersionNumber":"1"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:63930"},"dataCollectionId":63930,"self":"https://data.csiro.au/dap/ws/v2/collections/63930","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:63930","fileUpload":false,"fileId":0},"title":"Roper River LiDAR data","description":"These are LiDAR (Light detection and ranging) data and associated metadata including classification","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"Hughes, Justin (2024): Roper River LiDAR data. v1. CSIRO. Data Collection. https://doi.org/10.25919/k34y-z007","rights":"All Rights (including copyright) CSIRO 2024.","published":"2024-11-13T11:20:38.697+11:00","leadResearcher":"Justin Hughes","serviceCount":0,"spatialParameters":{"projection":"WGS84","northLatitude":"-14.5377","southLatitude":"-15.0286","westLongitude":"133.2744","eastLongitude":"135.46009999999998"},"contributors":[],"activity":{"activityTitle":"NAWRA surface water modelling"},"collectionType":"Data","domainType":"Everything Else","andsPid":"102.100.100/658905","doi":"10.25919/k34y-z007","project":{"irpHierarchy":true,"wbs":"R-08179","projectDescription":"Northern Australian Basin Assessment:: Water Resource Assessments"},"dataRestricted":"FALSE","dataVersionNumber":"1"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:61725"},"dataCollectionId":74427,"self":"https://data.csiro.au/dap/ws/v2/collections/74427","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:61725","fileUpload":false,"fileId":0},"title":"Python code to estimate costs of managed aquifer recharge under uncertainty","description":"Code and inputs files used to conduct data analyses underpinning a manuscript published in Sustainable Water Resources Management journal entitled 'Estimating the costs of managed aquifer recharge under uncertainty with examples for town water supply in regional Australia' in April 2024, https://doi.org/10.1007/s40899-024-01095-2.","licence":"BSD 3-Clause Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1241","fileUpload":false,"fileId":0},"attributionStatement":"Gonzalez, Dennis; Guillaume, Joseph; Peeters, Luk; Wyrwoll, Paul; Vanderzalm, Joanne; & Page, Declan (2026): Python code to estimate costs of managed aquifer recharge under uncertainty. CSIRO. v1. Software. https://doi.org/10.25919/pga1-1w43","rights":"All Rights (including copyright) CSIRO 2024.","published":"2026-05-07T20:31:45.493+10:00","leadResearcher":"Dennis Gonzalez","serviceCount":0,"spatialParameters":{"projection":"WGS84","northLatitude":"-30.683","southLatitude":"-36.3874","westLongitude":"140.7114","eastLongitude":"151.6154"},"contributors":["Joseph Guillaume","Luk Peeters","Paul Wyrwoll","Joanne Vanderzalm","Declan Page"],"activity":{},"collectionType":"Software","domainType":"Everything Else","andsPid":"102.100.100/608560","doi":"10.25919/pga1-1w43","project":{"irpHierarchy":true,"wbs":"","projectDescription":"Legacy data"},"dataRestricted":"FALSE","dataVersionNumber":"1"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:65833"},"dataCollectionId":65833,"self":"https://data.csiro.au/dap/ws/v2/collections/65833","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:65833","fileUpload":false,"fileId":0},"title":"Contiguous suitable area data of the Fitzroy catchment WA, Darwin catchments and Mitchell catchment Qld generated by the Northern Australia Water Resource Assessment","description":"These contiguous suitable area data are based on the land suitability data from the Northern Australia Water Resource Assessment (NAWRA). To address on-ground operational farming constraints imposed by parcels of suitable land being too small or oddly shaped according to natural variability of land, or physical limits on suitable farming land parcel sizes, contiguous suitable area data was generated. This contiguous suitable area data is based on crop-specific minimum areas and minimum length/width of contiguous suitable land and is produced as standalone data products for all crop groups. The rules are provided for download. The data was generated to remove the component of landscape complexity that natural distributions of soil and land variability and specific crop requirements produce.  This data provides improved land evaluation information to identify opportunities and promote detailed investigation for a range of sustainable development options. The land suitability evaluation methods used to produce the underlying data are a modification of the Food and Agriculture Organisation (FAO) land evaluation approach. The land suitability analysis is described in full in the CSIRO NAWRA published report ‘Land Suitability of the Fitzroy, Darwin and Mitchell Catchments’. A technical report from the CSIRO Northern Australia Water Resource Assessment to the Government of Australia. The naming convention for these data is; ‘crop group’ underscore ‘major crop’ underscore ‘season code’ underscore ‘irrigation type code’ underscore ‘catchment code’ underscore ‘data type’ eg ‘CG7_CottonGrains_D_Fw_F_ContigArea’ is Cotton and grain crops grown in the dry season with furrow irrigation in the Fitzroy catchment contiguous suitable area data. The codes for season are; W – wet season; D – dry season; P – perennial. The codes for irrigation type are; S – overhead spray irrigation; T – trickle irrigation; Fd – flood irrigation; Fw – furrow irrigation; R – rainfed. It is important to emphasize that this is a regional-scale assessment: further data collection and detailed soil physical, chemical and nutrient analyses would be required to plan development at a scheme, enterprise or property scale. Several limitations that may have a bearing on land suitability were out of scope and not assessed as part of this activity (refer to the report), these limitations include biophysical and socio-cultural. For example these land suitability raster datasets do not include consideration of the licensing of water, flood risk, risk of irrigation induced secondary salinity, or land tenure and other legislative controls. Some of these may be addressed elsewhere in NAWRA eg flooding was investigated by the Earth observation remote sensing group in the surface water activity. The Northern Australia Water Resource Assessment provides a comprehensive overview and integrated evaluation of the feasibility of aquaculture and agriculture development in the Fitzroy, Darwin and Mitchell catchments as well as the ecological, social and cultural (indigenous water values, rights and aspirations) impacts of development.","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"Watson, Ian; Thomas, Mark; Philip, Seonaid; Searle, Ross; Gregory, Linda; Wilson, Peter R; Wilson, Peter; Harms, Ben; Morrison, David; & Hill, Jason (2025): Contiguous suitable area data of the Fitzroy catchment WA, Darwin catchments and Mitchell catchment Qld generated by the Northern Australia Water Resource Assessment. v1. CSIRO. Data Collection. https://doi.org/10.25919/bwsn-zn98","rights":"All Rights (including copyright) CSIRO 2018.","published":"2025-09-01T09:11:16.708+10:00","leadResearcher":"Ian Watson","serviceCount":0,"spatialParameters":{"projection":"WGS84","northLatitude":"-12.020000000000001","southLatitude":"-19.35","westLongitude":"123.05","eastLongitude":"145.55"},"contributors":["Mark Thomas","Seonaid Philip","Ross Searle","Linda Gregory","Peter R Wilson","Peter Wilson","Ben Harms","David Morrison","Jason Hill"],"activity":{"activityTitle":"Digital soil mapping and land suitability"},"collectionType":"Data","domainType":"Everything Else","andsPid":"102.100.100/708935","doi":"10.25919/bwsn-zn98","project":{"irpHierarchy":true,"wbs":"R-08238","projectDescription":"Northern Australia Basin assessments"},"dataRestricted":"FALSE","dataVersionNumber":"1"}]}