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BIDOFFERPERIOD

BIDOFFERPERIOD shows 5-minute period-based Energy and Ancillary Service bid data.BIDOFFERPERIOD is a child table of BIDDAYOFFER

Column Schema

BIDTYPE

The type of bid, one-of ENERGY, RAISE6SEC, RAISE60SEC, RAISE5MIN, RAISEREG, LOWER6SEC, LOWER60SEC, LOWER5MIN, LOWERREG

The SQL type is VARCHAR2(10). This is actually a factor/enum, with values:

  • ENERGY

  • LOWERREG

  • LOWER60SEC

  • RAISE5MIN

  • LOWER5MIN

  • LOWER6SEC

  • RAISE60SEC

  • RAISE6SEC

  • RAISEREG

  • RAISE1SEC

  • LOWER1SEC

This column is mandatory, and a primary key.

DIRECTION

The power flow direction to which this offer applies: GEN, LOAD or BIDIRECTIONAL

Warning

Despite AEMO's documentation saying that this column is mandatory, it is missing from older files. It was added to the schema in version 5.3.

SQL Type: VARCHAR2(20) Polars Type: str

This column is mandatory, and a primary key.

Example: BIDIRECTIONAL

DUID

Dispatchable Unit ID

Warning

This column may contain funny characters such as / (slash) or # (hash). This may break hive-style partitioning.

For more information, see the dedicated documentation page.

SQL Type: VARCHAR2(20) Polars Type: pl.Categorical

This column is mandatory, and a primary key.

Examples:

  • WDBESS1
  • W/HOE#2

OFFERDATETIME

Time this bid was processed and loaded

SQL Type: TIMESTAMP(3) Polars Type: pl.Datetime()

This column is mandatory, and a primary key.

Example: 2026/09/30 06:07:29.000

Unlike most datetime columns, this one includes a millisecond component. e.g. 2029/03/15 00:00:00.123.

PERIODID

Period ID 1 to 288

SQL Type: NUMBER(3,0) Polars Type: pl.Int16

This column is mandatory, and a primary key.

Examples: 1, 288

TRADINGDATE

The trading date this bid is for

SQL Type: DATE Polars Type: pl.Date()

This column is mandatory, and a primary key.

Example: 2026/09/30 00:00:00

Note that AEMO represents dates as datetimes with a midnight time component.

BANDAVAIL1

Availability at price band 1

SQL Type: NUMBER(8,3) Polars Type: pl.Float64

This column is not mandatory.

Example: 0

BANDAVAIL2

Availability at price band 2

SQL Type: NUMBER(8,3) Polars Type: pl.Float64

This column is not mandatory.

Example: 0

BANDAVAIL3

Availability at price band 3

SQL Type: NUMBER(8,3) Polars Type: pl.Float64

This column is not mandatory.

Example: 0

BANDAVAIL4

Availability at price band 4

SQL Type: NUMBER(8,3) Polars Type: pl.Float64

This column is not mandatory.

Example: 6

BANDAVAIL5

Availability at price band 5

SQL Type: NUMBER(8,3) Polars Type: pl.Float64

This column is not mandatory.

Example: 9

BANDAVAIL6

Availability at price band 6

SQL Type: NUMBER(8,3) Polars Type: pl.Float64

This column is not mandatory.

Example: 5

BANDAVAIL7

Availability at price band 7

SQL Type: NUMBER(8,3) Polars Type: pl.Float64

This column is not mandatory.

Example: 5

BANDAVAIL8

Availability at price band 8

SQL Type: NUMBER(8,3) Polars Type: pl.Float64

This column is not mandatory.

Example: 5

BANDAVAIL9

Availability at price band 9

SQL Type: NUMBER(8,3) Polars Type: pl.Float64

This column is not mandatory.

Example: 0

BANDAVAIL10

Availability at price band 10

SQL Type: NUMBER(8,3) Polars Type: pl.Float64

This column is not mandatory.

Example: 110

ENABLEMENTMAX

Maximum Energy Output (MW) at which this ancillary service can be supplied (AS Only)

SQL Type: NUMBER(8,3) Polars Type: pl.Float64

This column is not mandatory.

Examples: 35, 255

ENABLEMENTMIN

Minimum Energy Output (MW) at which this ancillary service becomes available (AS Only)

SQL Type: NUMBER(8,3) Polars Type: pl.Float64

This column is not mandatory.

Examples: -25, -255

ENERGYLIMIT

The Energy limit applying at the end of this dispatch interval in MWh. For GEN this is a lower energy limit. For LOAD this is an upper energy limit

SQL Type: NUMBER(15,5) Polars Type: pl.Float64

This column is not mandatory.

FIXEDLOAD

Fixed unit output MW (Energy bids only) A null value means no fixed load so the unit is dispatched according to bid and market

SQL Type: NUMBER(8,3) Polars Type: pl.Float64

This column is not mandatory.

HIGHBREAKPOINT

Maximum Energy Output (MW) at which the unit can provide the full availability (MAXAVAIL) for this ancillary service (AS Only)

SQL Type: NUMBER(8,3) Polars Type: pl.Float64

This column is not mandatory.

Examples: 0, 1, 115

LOWBREAKPOINT

Minimum Energy Output (MW) at which the unit can provide the full availability (MAXAVAIL) for this ancillary service (AS Only)

SQL Type: NUMBER(8,3) Polars Type: pl.Float64

This column is not mandatory.

Examples: -25, -255

MAXAVAIL

Maximum availability for this BidType in this period

SQL Type: NUMBER(8,3) Polars Type: pl.Float64

This column is not mandatory.

Examples: 35, 140

PASAAVAILABILITY

Allows for future use for Energy bids, being the physical plant capability including any capability potentially available within 24 hours

SQL Type: NUMBER(8,3) Polars Type: pl.Float64

This column is not mandatory.

Example: 6

PERIODIDTO

Period ID Ending

SQL Type: NUMBER(3,0) Polars Type: pl.Int16

This column is not mandatory.

Examples: 1, 288

RAMPDOWNRATE

MW/Min for lower (Energy bids only)

SQL Type: NUMBER(6) Polars Type: pl.Int32

This column is not mandatory.

Example: 2

RAMPUPRATE

MW/Min for raise (Energy bids only)

SQL Type: NUMBER(6) Polars Type: pl.Int32

This column is not mandatory.

Example: 2

RECALL_PERIOD

The advance notice(in hours) that a Scheduled Resource requires to achieve the PASA Availability MW for this trading interval

SQL Type: NUMBER(8,3) Polars Type: pl.Float64

This column is not mandatory.

New Data Timing

Data is published whenever new bid data arrives

Code Examples

Polars

This table is so large that you should explicitly enumerate and cast every column, which will speed things up and prevents some errors. Although some of the datatypes are inferred, so they may be wrong. In particular, UInt16 vs UInt8 vs Int16 etc. If you get errors, you can swap these for just int.

This code deduplicates for you. Deduplication is normally only required across multiple months.

This code assumes that all columns are present, which may not be true for older files.

import polars as pl
import polars.selectors as cs

# Dates are represented as datetimes at midnight

# e.g. "2029/03/15 00:00:00"

d_fmt = "%Y/%m/%d 00:00:00"

# for "TIMESTAMP" columns
# Note that Polars uses slightly different format strings for fractional seconds to `dt.strptime`
# e.g. "2029/03/15 00:00:00.123".
dt_ms_fmt = "%Y/%m/%d %H:%M:%S%.3f"

csv_paths = ["SOMEFILE.CSV", "OTHERFILE.CSV"]

lf = (
    pl.concat(
        [
            pl.scan_csv(
                csv_path,  # must be unzipped beforehand
                skip_rows=1,  # skip the header
                infer_schema=False,  # much faster
            )
            .filter(cs.by_index(0) == "D")  # drop the footer
            .select(~cs.by_index(range(4)))  # drop metadata columns
            for csv_path in csv_paths
        ],
        how="diagonal_relaxed",
    )
    .with_columns(
        pl.col("TRADINGDATE").str.strptime(pl.Date, d_fmt),
        pl.col("OFFERDATETIME").str.strptime(pl.Datetime, dt_ms_fmt),
    )
    .cast(
        {
            "BIDTYPE": pl.Enum(
                [
                    "ENERGY",
                    "LOWERREG",
                    "LOWER60SEC",
                    "RAISE5MIN",
                    "LOWER5MIN",
                    "LOWER6SEC",
                    "RAISE60SEC",
                    "RAISE6SEC",
                    "RAISEREG",
                    "RAISE1SEC",
                    "LOWER1SEC",
                ]
            ),
            "DIRECTION": str,
            "DUID": pl.Categorical,
            "PERIODID": pl.Int16,
            "TRADINGDATE": pl.Date(),
            "BANDAVAIL1": pl.Float64,
            "BANDAVAIL2": pl.Float64,
            "BANDAVAIL3": pl.Float64,
            "BANDAVAIL4": pl.Float64,
            "BANDAVAIL5": pl.Float64,
            "BANDAVAIL6": pl.Float64,
            "BANDAVAIL7": pl.Float64,
            "BANDAVAIL8": pl.Float64,
            "BANDAVAIL9": pl.Float64,
            "BANDAVAIL10": pl.Float64,
            "ENABLEMENTMAX": pl.Float64,
            "ENABLEMENTMIN": pl.Float64,
            "ENERGYLIMIT": pl.Float64,
            "FIXEDLOAD": pl.Float64,
            "HIGHBREAKPOINT": pl.Float64,
            "LOWBREAKPOINT": pl.Float64,
            "MAXAVAIL": pl.Float64,
            "PASAAVAILABILITY": pl.Float64,
            "PERIODIDTO": pl.Int16,
            "RAMPDOWNRATE": pl.Int32,
            "RAMPUPRATE": pl.Int32,
            "RECALL_PERIOD": pl.Float64,
        }
    )
    # Deduplicate
    # WARNING: This will probably use up more memory than you have.
    # We want one row per ['BIDTYPE', 'DIRECTION', 'DUID', 'OFFERDATETIME', 'PERIODID', 'TRADINGDATE']
    .unique(
        subset=[
            "BIDTYPE",
            "DIRECTION",
            "DUID",
            "OFFERDATETIME",
            "PERIODID",
            "TRADINGDATE",
        ],
        keep="any",
    )
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_BIDOFFERPERIOD_FILE64_202609010000.zip

DUIDBIDTYPETRADINGDATEOFFERDATETIMEDIRECTIONPERIODIDMAXAVAILFIXEDLOADRAMPUPRATERAMPDOWNRATEENABLEMENTMINENABLEMENTMAXLOWBREAKPOINTHIGHBREAKPOINTBANDAVAIL1BANDAVAIL2BANDAVAIL3BANDAVAIL4BANDAVAIL5BANDAVAIL6BANDAVAIL7BANDAVAIL8BANDAVAIL9BANDAVAIL10PASAAVAILABILITYENERGYLIMITPERIODIDTORECALL_PERIOD
WDBESS1RAISE1SEC2026/09/30 00:00:002026/09/30 06:07:29.000BIDIRECTIONAL1140-254254-2541140006955501101
WDBESS1RAISE1SEC2026/09/30 00:00:002026/09/30 06:07:29.000BIDIRECTIONAL2140-254254-2541140006955501102
WDBESS1RAISE1SEC2026/09/30 00:00:002026/09/30 06:07:29.000BIDIRECTIONAL3140-254254-2541140006955501103
WDBESS1RAISE1SEC2026/09/30 00:00:002026/09/30 06:07:29.000BIDIRECTIONAL4140-254254-2541140006955501104
WDBESS1RAISE1SEC2026/09/30 00:00:002026/09/30 06:07:29.000BIDIRECTIONAL5140-254254-2541140006955501105
WDBESS1RAISE1SEC2026/09/30 00:00:002026/09/30 06:07:29.000BIDIRECTIONAL6140-254254-2541140006955501106
WDBESS1RAISE1SEC2026/09/30 00:00:002026/09/30 06:07:29.000BIDIRECTIONAL7140-254254-2541140006955501107
WDBESS1RAISE1SEC2026/09/30 00:00:002026/09/30 06:07:29.000BIDIRECTIONAL8140-254254-2541140006955501108
WDBESS1RAISE1SEC2026/09/30 00:00:002026/09/30 06:07:29.000BIDIRECTIONAL9140-254254-2541140006955501109
WDBESS1RAISE1SEC2026/09/30 00:00:002026/09/30 06:07:29.000BIDIRECTIONAL10140-254254-25411400069555011010
WDBESS1RAISE1SEC2026/09/30 00:00:002026/09/30 06:07:29.000BIDIRECTIONAL11140-254254-25411400069555011011
...

CSETP.WORLDDVD_BIDOFFERPERIODAEMOPUBLIC2026/10/1001:36:51001791560211615MONTHLY_ARCHIVE001791560211615
IBIDSBIDOFFERPERIOD3DUIDBIDTYPETRADINGDATEOFFERDATETIMEDIRECTIONPERIODIDMAXAVAILFIXEDLOADRAMPUPRATERAMPDOWNRATEENABLEMENTMINENABLEMENTMAXLOWBREAKPOINTHIGHBREAKPOINTBANDAVAIL1BANDAVAIL2BANDAVAIL3BANDAVAIL4BANDAVAIL5BANDAVAIL6BANDAVAIL7BANDAVAIL8BANDAVAIL9BANDAVAIL10PASAAVAILABILITYENERGYLIMITPERIODIDTORECALL_PERIOD
DBIDSBIDOFFERPERIOD3WDBESS1RAISE1SEC2026/09/30 00:00:002026/09/30 06:07:29.000BIDIRECTIONAL1140-254254-2541140006955501101
DBIDSBIDOFFERPERIOD3WDBESS1RAISE1SEC2026/09/30 00:00:002026/09/30 06:07:29.000BIDIRECTIONAL2140-254254-2541140006955501102
DBIDSBIDOFFERPERIOD3WDBESS1RAISE1SEC2026/09/30 00:00:002026/09/30 06:07:29.000BIDIRECTIONAL3140-254254-2541140006955501103
DBIDSBIDOFFERPERIOD3WDBESS1RAISE1SEC2026/09/30 00:00:002026/09/30 06:07:29.000BIDIRECTIONAL4140-254254-2541140006955501104
DBIDSBIDOFFERPERIOD3WDBESS1RAISE1SEC2026/09/30 00:00:002026/09/30 06:07:29.000BIDIRECTIONAL5140-254254-2541140006955501105
DBIDSBIDOFFERPERIOD3WDBESS1RAISE1SEC2026/09/30 00:00:002026/09/30 06:07:29.000BIDIRECTIONAL6140-254254-2541140006955501106
DBIDSBIDOFFERPERIOD3WDBESS1RAISE1SEC2026/09/30 00:00:002026/09/30 06:07:29.000BIDIRECTIONAL7140-254254-2541140006955501107
DBIDSBIDOFFERPERIOD3WDBESS1RAISE1SEC2026/09/30 00:00:002026/09/30 06:07:29.000BIDIRECTIONAL8140-254254-2541140006955501108
DBIDSBIDOFFERPERIOD3WDBESS1RAISE1SEC2026/09/30 00:00:002026/09/30 06:07:29.000BIDIRECTIONAL9140-254254-2541140006955501109
DBIDSBIDOFFERPERIOD3WDBESS1RAISE1SEC2026/09/30 00:00:002026/09/30 06:07:29.000BIDIRECTIONAL10140-254254-25411400069555011010
DBIDSBIDOFFERPERIOD3WDBESS1RAISE1SEC2026/09/30 00:00:002026/09/30 06:07:29.000BIDIRECTIONAL11140-254254-25411400069555011011
...
CEND OF REPORT1003

DUID,BIDTYPE,TRADINGDATE,OFFERDATETIME,DIRECTION,PERIODID,MAXAVAIL,FIXEDLOAD,RAMPUPRATE,RAMPDOWNRATE,ENABLEMENTMIN,ENABLEMENTMAX,LOWBREAKPOINT,HIGHBREAKPOINT,BANDAVAIL1,BANDAVAIL2,BANDAVAIL3,BANDAVAIL4,BANDAVAIL5,BANDAVAIL6,BANDAVAIL7,BANDAVAIL8,BANDAVAIL9,BANDAVAIL10,PASAAVAILABILITY,ENERGYLIMIT,PERIODIDTO,RECALL_PERIOD
WDBESS1,RAISE1SEC,"2026/09/30 00:00:00","2026/09/30 06:07:29.000",BIDIRECTIONAL,1,140,,,,-254,254,-254,114,0,0,0,6,9,5,5,5,0,110,,,1,
WDBESS1,RAISE1SEC,"2026/09/30 00:00:00","2026/09/30 06:07:29.000",BIDIRECTIONAL,2,140,,,,-254,254,-254,114,0,0,0,6,9,5,5,5,0,110,,,2,
WDBESS1,RAISE1SEC,"2026/09/30 00:00:00","2026/09/30 06:07:29.000",BIDIRECTIONAL,3,140,,,,-254,254,-254,114,0,0,0,6,9,5,5,5,0,110,,,3,
WDBESS1,RAISE1SEC,"2026/09/30 00:00:00","2026/09/30 06:07:29.000",BIDIRECTIONAL,4,140,,,,-254,254,-254,114,0,0,0,6,9,5,5,5,0,110,,,4,
WDBESS1,RAISE1SEC,"2026/09/30 00:00:00","2026/09/30 06:07:29.000",BIDIRECTIONAL,5,140,,,,-254,254,-254,114,0,0,0,6,9,5,5,5,0,110,,,5,
WDBESS1,RAISE1SEC,"2026/09/30 00:00:00","2026/09/30 06:07:29.000",BIDIRECTIONAL,6,140,,,,-254,254,-254,114,0,0,0,6,9,5,5,5,0,110,,,6,
WDBESS1,RAISE1SEC,"2026/09/30 00:00:00","2026/09/30 06:07:29.000",BIDIRECTIONAL,7,140,,,,-254,254,-254,114,0,0,0,6,9,5,5,5,0,110,,,7,
WDBESS1,RAISE1SEC,"2026/09/30 00:00:00","2026/09/30 06:07:29.000",BIDIRECTIONAL,8,140,,,,-254,254,-254,114,0,0,0,6,9,5,5,5,0,110,,,8,
WDBESS1,RAISE1SEC,"2026/09/30 00:00:00","2026/09/30 06:07:29.000",BIDIRECTIONAL,9,140,,,,-254,254,-254,114,0,0,0,6,9,5,5,5,0,110,,,9,
WDBESS1,RAISE1SEC,"2026/09/30 00:00:00","2026/09/30 06:07:29.000",BIDIRECTIONAL,10,140,,,,-254,254,-254,114,0,0,0,6,9,5,5,5,0,110,,,10,
WDBESS1,RAISE1SEC,"2026/09/30 00:00:00","2026/09/30 06:07:29.000",BIDIRECTIONAL,11,140,,,,-254,254,-254,114,0,0,0,6,9,5,5,5,0,110,,,11,
...

C,SETP.WORLD,DVD_BIDOFFERPERIOD,AEMO,PUBLIC,2026/10/10,01:36:51,001791560211615,MONTHLY_ARCHIVE,001791560211615
I,BIDS,BIDOFFERPERIOD,3,DUID,BIDTYPE,TRADINGDATE,OFFERDATETIME,DIRECTION,PERIODID,MAXAVAIL,FIXEDLOAD,RAMPUPRATE,RAMPDOWNRATE,ENABLEMENTMIN,ENABLEMENTMAX,LOWBREAKPOINT,HIGHBREAKPOINT,BANDAVAIL1,BANDAVAIL2,BANDAVAIL3,BANDAVAIL4,BANDAVAIL5,BANDAVAIL6,BANDAVAIL7,BANDAVAIL8,BANDAVAIL9,BANDAVAIL10,PASAAVAILABILITY,ENERGYLIMIT,PERIODIDTO,RECALL_PERIOD
D,BIDS,BIDOFFERPERIOD,3,WDBESS1,RAISE1SEC,"2026/09/30 00:00:00","2026/09/30 06:07:29.000",BIDIRECTIONAL,1,140,,,,-254,254,-254,114,0,0,0,6,9,5,5,5,0,110,,,1,
D,BIDS,BIDOFFERPERIOD,3,WDBESS1,RAISE1SEC,"2026/09/30 00:00:00","2026/09/30 06:07:29.000",BIDIRECTIONAL,2,140,,,,-254,254,-254,114,0,0,0,6,9,5,5,5,0,110,,,2,
D,BIDS,BIDOFFERPERIOD,3,WDBESS1,RAISE1SEC,"2026/09/30 00:00:00","2026/09/30 06:07:29.000",BIDIRECTIONAL,3,140,,,,-254,254,-254,114,0,0,0,6,9,5,5,5,0,110,,,3,
D,BIDS,BIDOFFERPERIOD,3,WDBESS1,RAISE1SEC,"2026/09/30 00:00:00","2026/09/30 06:07:29.000",BIDIRECTIONAL,4,140,,,,-254,254,-254,114,0,0,0,6,9,5,5,5,0,110,,,4,
D,BIDS,BIDOFFERPERIOD,3,WDBESS1,RAISE1SEC,"2026/09/30 00:00:00","2026/09/30 06:07:29.000",BIDIRECTIONAL,5,140,,,,-254,254,-254,114,0,0,0,6,9,5,5,5,0,110,,,5,
D,BIDS,BIDOFFERPERIOD,3,WDBESS1,RAISE1SEC,"2026/09/30 00:00:00","2026/09/30 06:07:29.000",BIDIRECTIONAL,6,140,,,,-254,254,-254,114,0,0,0,6,9,5,5,5,0,110,,,6,
D,BIDS,BIDOFFERPERIOD,3,WDBESS1,RAISE1SEC,"2026/09/30 00:00:00","2026/09/30 06:07:29.000",BIDIRECTIONAL,7,140,,,,-254,254,-254,114,0,0,0,6,9,5,5,5,0,110,,,7,
D,BIDS,BIDOFFERPERIOD,3,WDBESS1,RAISE1SEC,"2026/09/30 00:00:00","2026/09/30 06:07:29.000",BIDIRECTIONAL,8,140,,,,-254,254,-254,114,0,0,0,6,9,5,5,5,0,110,,,8,
D,BIDS,BIDOFFERPERIOD,3,WDBESS1,RAISE1SEC,"2026/09/30 00:00:00","2026/09/30 06:07:29.000",BIDIRECTIONAL,9,140,,,,-254,254,-254,114,0,0,0,6,9,5,5,5,0,110,,,9,
D,BIDS,BIDOFFERPERIOD,3,WDBESS1,RAISE1SEC,"2026/09/30 00:00:00","2026/09/30 06:07:29.000",BIDIRECTIONAL,10,140,,,,-254,254,-254,114,0,0,0,6,9,5,5,5,0,110,,,10,
D,BIDS,BIDOFFERPERIOD,3,WDBESS1,RAISE1SEC,"2026/09/30 00:00:00","2026/09/30 06:07:29.000",BIDIRECTIONAL,11,140,,,,-254,254,-254,114,0,0,0,6,9,5,5,5,0,110,,,11,
...
C,"END OF REPORT",1003

Availability

Visibility: Private & Public Next-Day

This table is in the public monthly MMSDM archive.

I have collated the list of all those files into one place, in this CSV metadata file. (Columns year, month, url, compressed_size in bytes).

Tip

There are multiple files per month, because this is such a large table.

The earliest available data is month 3 of 2021. The most recent available data is month 9 of 2026.

Every month in between has at least one file.

Warning

The filenames of zips may not correspond to the tables. These can be mixed up with BIDPEROFFER. Check column 2 and 3 inside the CSV against REPORT_NAME and REPORT_SUBTYPE to be sure. I have already done this for you, and listed all URLs in this metadata file.

Data Size

Each year of data is approximately 212 GB when zipped, 2 TB as unzipped CSV.

Warning

This table is extremely large! Simply calling pd.read_csv() will probably require more memory than your laptop has. You probably need to use a cloud service, or at least a large server. (Doing it on a laptop is possible, but very hard.)

Querying this table for more than a few months of data is a hardcore endevour. Ask your local data engineer for help. Strategies include:

  • predicate push-downs
  • lazy queries
  • hard-coded schema (e.g. the hard-coded enums and categoricals in the Polars code sample above)
  • partitioning by DUID, year etc

Deduplication and PDR Loader Configuration

The primary keys are:

Tip

Bid deduplication is particularly tricky. See the guide.

The transaction type is "insert", which means that you will usually not see duplicate data. If you do, you can deduplicate based on the primary keys, without sorting first. Rows from different files with the same primary keys should have the same values.

PDR Loader configuration is:

Report Name Report Subtype Version Undisclosed
BIDS BIDOFFERPERIOD 2
BIDS BIDOFFERPERIOD 3
BIDS BIDOFFERPERIOD_SPARSE 1
BIDS BIDOFFERPERIOD_SPARSE 2
OFFER BIDOFFERPERIOD 1 ⚠️

Warning

Some of these file mappings are not in the published PDR Loader configuration file, even though files for this table exist with those metadata values. Mappings marked with ⚠️ have been added by me after manually inspecting those files.

This means that the CSV files start with metadata columns:

I,BIDS,BIDOFFERPERIOD,2,...
D,BIDS,BIDOFFERPERIOD,2,...

or

I,BIDS,BIDOFFERPERIOD,3,...
D,BIDS,BIDOFFERPERIOD,3,...

or

I,BIDS,BIDOFFERPERIOD_SPARSE,1,...
D,BIDS,BIDOFFERPERIOD_SPARSE,1,...

or

I,BIDS,BIDOFFERPERIOD_SPARSE,2,...
D,BIDS,BIDOFFERPERIOD_SPARSE,2,...

or

I,OFFER,BIDOFFERPERIOD,1,...
D,OFFER,BIDOFFERPERIOD,1,...

This page as JSON (schema documented here, but may change)

Download a JSON Schema specification for this table.

Official AEMO schema documentation

Other Information

Package: BIDS