QDataSet

All Known Subinterfaces:

MutablePropertyDataSet, RankZeroDataSet, WritableDataSet

All Known Implementing Classes:

AbstractDataSet, AbstractRank1DataSet, ArrayDataSet, AsciiDataSet, AsciiHeadersParser.BundleDescriptor, BDataSet, BufferDataSet, BundleDataSet, BundleDataSet.BundleDescriptor, ByteDataSet, CdfSparseDataSet, ClippedTableDataSet, ConstantDataSet, DataSetWrapper, DDataSet, DodsVarDataSet, DodsVarDataSet.DoubleArray, DodsVarDataSet.EpochStringArray, DodsVarDataSet.FloatArray, DodsVarDataSet.Int16Array, DodsVarDataSet.Int32Array, DodsVarDataSet.NominalStringArray, DoubleDataSet, DRank0DataSet, FDataSet, FlattenWaveformDataSet, FloatDataSet, GridDataSet, IDataSet, ImageDataSet, IndexGenDataSet, Int24DataSet, IntDataSet, JoinDataSet, LDataSet, LeafTrimDataSet, LengthsDataSet, LongDataSet, NetCdfVarDataSet, NybbleDataSet, ReformDataSet, RepeatIndexDataSet, ReplicateDataSet, ReverseDataSet, RipplesDataSet, SDataSet, SegmentedBufferDataSet, ShortDataSet, Slice0DataSet, Slice1DataSet, Slice2DataSet, Slice3DataSet, SortDataSet, SparseDataSet, SpectrumTest.MySpectrogramData, SubsetDataSet, TagGenDataSet, TailBundleDataSet, TailBundleDataSet.BundleDescriptor, TimeDataSet, TransposeRank2DataSet, TransposeRankNDataSet, TrArrayDataSet, TrDDataSet, TrFDataSet, TrimDataSet, TrimStrideWrapper, TrLDataSet, TruncatedFloatDataSet, UByteDataSet, UInt24DataSet, UIntDataSet, UShortDataSet, VaxFloatDataSet, WeightsDataSet, WeightsDataSet.AllValid, WeightsDataSet.FillFinite, WeightsDataSet.Finite, WeightsDataSet.ValidRangeFillFinite, WritableDataSetWrapper, WritableJoinDataSet
```
public interface QDataSet
```
QDataSets are the data model used within Das2 and Autoplot. It was preceded by a more specific data model, used to developed to deliver spectrogram time series data sets where the dataset structure would change over time, and the interface is highly optimized for that environment. It was difficult to express many datasets in these terms, so the simpler "quick" QDataSet was introduced.

The QDataSet can be thought of as a fast Java array that has name-value metadata attached to it. These arrays of data can have an arbitrary number of indexes, or rank, although currently the interface limits rank to 0, 1, 2, 3, and 4. Each index's length can vary, like Java arrays, and datasets where the dimensions do not vary in length are colloquially called "Qubes."

QDataSets have standard metadata like NAME and UNITS, identifying the data and the units used to interpret the numbers.
QDataSets can have other QDataSets as property values. For example, the property QDataSet.DEPEND_0 indicates that the values are dependent parameters of the independent "tags" QDataSet found there. QDataSet.BUNDLE_1 means the index is used to access datasets bundled together sharing the same time tags.

This is inspired by the CDF data model and PaPCo's dataset model, and has evolved to support data in many forms.

See Also:

QDataSet

Field Summary

Fields
Modifier and Type	Field and Description
`static java.lang.String`	`AVERAGE_TYPE` String, Indicates how numbers should be combined in this space.
`static java.lang.String`	`BIN_MAX` QDataSet of rank 1 identifies boundary in the same units as the dataset.
`static java.lang.String`	`BIN_MAX_NAME` name of the dataset in a bundle to be connected to BIN_MAX.
`static java.lang.String`	`BIN_MIN` QDataSet of rank 1 identifies boundary in the same units as the dataset.
`static java.lang.String`	`BIN_MIN_NAME` name of the dataset in a bundle to be connected to BIN_MIN.
`static java.lang.String`	`BIN_MINUS` QDataSet of rank 0 or correlated QDataSet identifies boundary.
`static java.lang.String`	`BIN_MINUS_NAME` name of the dataset in a bundle to be connected to BIN_MINUS.
`static java.lang.String`	`BIN_PLUS` QDataSet of rank 0 or correlated QDataSet identifies boundary.
`static java.lang.String`	`BIN_PLUS_NAME` name of the dataset in a bundle to be connected to BIN_PLUS.
`static java.lang.String`	`BINS_0` type String which is a comma-delimited list of keywords that describe the boundary type for each column.
`static java.lang.String`	`BINS_1` type String which is a comma-delimited list of keywords that describe the boundary type for each column.
`static java.lang.String`	`BUNDLE_0` type QDataSet describing each position of the rank 1 dataset (Bundle Descriptor).
`static java.lang.String`	`BUNDLE_1` type QDataSet describing each of the bundled datasets (Bundle Descriptor).
`static java.lang.String`	`BUNDLE_2` type QDataSet Bundle Descriptor.
`static java.lang.String`	`BUNDLE_3` type QDataSet Bundle Descriptor.
`static java.lang.String`	`CACHE_TAG` CacheTag, indicating the coverage and resolution of a dimension.
`static java.lang.String`	`CADENCE` QDataSet of rank0, which is the expected distance between successive measurements where it is valid to make inferences about the data.
`static java.lang.String`	`CONTEXT_0` type QDataSet, that stores the position of a slice or range in a collapsed dimension.
`static java.lang.String`	`CONTEXT_1` type QDataSet, that stores the position of a slice or range in a collapsed dimension.
`static java.lang.String`	`COORDINATE_FRAME` String, representing the coordinate frame of the vector index.
`static double`	`DEFAULT_FILL_VALUE` the fill value often used in codes.
`static java.lang.String`	`DELTA_MINUS` QDataSet of rank 0, or correlated QDataSet that limits accuracy.
`static java.lang.String`	`DELTA_MINUS_NAME` name of the dataset in a bundle to be connected to DELTA_MINUS.
`static java.lang.String`	`DELTA_PLUS` QDataSet of rank 0, or correlated QDataSet that limits accuracy.
`static java.lang.String`	`DELTA_PLUS_NAME` name of the dataset in a bundle to be connected to DELTA_PLUS.
`static java.lang.String`	`DEPEND_0` type QDataSet, this dataset is a dependent parameter of the independent parameter represented in this DataSet.
`static java.lang.String`	`DEPEND_1` type QDataSet, this dataset is a dependent parameter of the independent parameter represented in this DataSet.
`static java.lang.String`	`DEPEND_2` type QDataSet, this dataset is a dependent parameter of the independent parameter represented in this DataSet.
`static java.lang.String`	`DEPEND_3` type QDataSet, this dataset is a dependent parameter of the independent parameter represented in this DataSet.
`static java.lang.String`	`DEPENDNAME_0` String, the name of another dataset in the bundle descriptor.
`static java.lang.String`	`DEPENDNAME_1` String, the name of another dataset in the bundle descriptor.
`static java.lang.String`	`DESCRIPTION` String, Human-consumable string suitable for describing the data more fully.
`static java.lang.String`	`ELEMENT_DIMENSIONS` int array, the dimensions of the element.
`static java.lang.String`	`ELEMENT_LABEL` String, the label of the rank 2 or more dataset in a bundle descriptor.
`static java.lang.String`	`ELEMENT_NAME` String, the name of the rank 2 or more dataset in a bundle descriptor.
`static java.lang.String`	`FILL_VALUE` type Number, value to be considered fill (invalid) data.
`static java.lang.String`	`FORMAT` type String, Java/C format string for formatting the values.
`static java.lang.String`	`JOIN_0` type String, non-null string identifies that elements in this dimension are instances of data with the same dimensions.
`static java.lang.String`	`LABEL` String, Concise Human-consumable label suitable for a plot label (~10 chars).
`static long`	`LIMIT_HUGE_DATASET` reference value for the size of a dataset where we would expect to start seeing performance degradation.
`static int`	`MAX_HIGH_RANK` the highest rank supported by the library, without direct access to datums.
`static int`	`MAX_PLANE_COUNT` the maximum number of allowed planes.
`static int`	`MAX_RANK` the highest rank supported by the library.
`static int`	`MAX_UNIT_BUNDLE_COUNT` maximum number of same-unit bundled dimensions (e.g.
`static java.lang.String`	`METADATA` Map<String,Object> representing additional properties used by client codes.
`static java.lang.String`	`METADATA_MODEL` String, a scheme for the metadata tree, such as ISTP or SPASE.
`static int`	`MIN_WAVEFORM_LENGTH` the minimum length of each of the waveform packets in a rank 2 waveform dataset.
`static java.lang.String`	`MONOTONIC` Boolean, Boolean.TRUE if dataset is monotonically increasing, and the data is rank 1.
`static java.lang.String`	`NAME` String, a java identifier that should can be used when an identifier is needed.
`static java.lang.String`	`NOTES` QDataSet of events scheme, containing a list of messages encountered during processing that annotate the data.
`static java.lang.String`	`PLANE_0` type QDataSet, a correlated plane of data.
`static java.lang.String`	`QUBE` Boolean.TRUE indicates that the dataset is a "qube," meaning that all dimensions have fixed length and certain optimizations and operators are allowed.
`static java.lang.String`	`RENDER_TYPE` String, hint as to preferred rendering method.
`static java.lang.String`	`SCALE_TYPE` String, "linear" or "log", hinting at the preference for linear or a log axis.
`static java.lang.String`	`SOURCE` String, Human-consumable string identifying the source of a dataset, such as the file or URI from which it was read.
`static java.lang.String`	`START_INDEX` type Integer, only found in a bundle descriptor (BUNDLE_0 or BUNDLE_1), this returns the integer index of the start of the current dataset.
`static java.lang.String`	`TITLE` String, Human-consumable string suitable for a plot title (~100 chars).
`static java.lang.String`	`TYPICAL_MAX` type Number that is the max used to discover datasets.
`static java.lang.String`	`TYPICAL_MIN` type Number that is min used to discover datasets.
`static java.lang.String`	`UNITS` type Units indicating the units of the dataset in the enumeration of org.das2.datum.Units, as in org.das2.datum.Units.km.
`static java.lang.String`	`USER_PROPERTIES` Map<String,Object> representing additional properties used by client codes.
`static java.lang.String`	`VALID_MAX` type Number, maximum bounding measurements to be considered valid.
`static java.lang.String`	`VALID_MIN` type Number, minimum bounding measurements to be considered valid.
`static java.lang.String`	`VALUE_AVERAGE_TYPE_GEOMETRIC` geometric mean where result is exp(sum(log(ds))/len(ds))
`static java.lang.String`	`VALUE_AVERAGE_TYPE_LINEAR` typical averages sum(ds)/len(ds)
`static java.lang.String`	`VALUE_AVERAGE_TYPE_MOD24` mod24 mean where avg([23,1]) is 0.
`static java.lang.String`	`VALUE_AVERAGE_TYPE_MOD360` mod360 mean where avg([359,1]) is 0.
`static java.lang.String`	`VALUE_AVERAGE_TYPE_MODPI` modpi mean where avg( [5PI/6,7PI/6] ) is 0.
`static java.lang.String`	`VALUE_AVERAGE_TYPE_MODTAU` modtau mean where avg( [5TAU/6,7TAU/6] ) is 0.
`static java.lang.String`	`VALUE_AVERAGE_TYPE_NONE` combining numbers is not allowed, and often nearest neighbor is a suitable result.
`static java.lang.String`	`VALUE_BINS_MIN_MAX` typical bin is min,max with min inclusive and max exclusive.
`static java.lang.String`	`VALUE_BINS_MIN_MAX_INCLUSIVE` typical bin is min,max with min inclusive and max exclusive.
`static java.lang.String`	`VALUE_COORDINATE_FRAME_COMPLEX_NUMBER` the value is a complex number, having two elements, the first is real second is imaginary.
`static java.lang.String`	`VALUE_METADATA_MODEL_ISTP` the metadata is ISTP-CDF metadata
`static java.lang.String`	`VALUE_METADATA_MODEL_SPASE` the metadata is SPASE (Space Physics Archive Search Extract)
`static java.lang.String`	`VALUE_RENDER_TYPE_COMPOSITE_IMAGE` values are an RGB image, a rank 3 dataset [w,h,3] or [w,h,4].
`static java.lang.String`	`VALUE_RENDER_TYPE_DIGITAL` values are drawn.
`static java.lang.String`	`VALUE_RENDER_TYPE_EVENTS_BAR` draw events bars
`static java.lang.String`	`VALUE_RENDER_TYPE_NNSPECTROGRAM` use blocks to draw each point, so data extents can be seen.
`static java.lang.String`	`VALUE_RENDER_TYPE_SERIES` full-fidelity rendering of buckshot and connect-a-dot plots
`static java.lang.String`	`VALUE_RENDER_TYPE_TRIANGLE_MESH` triangle mesh type
`static java.lang.String`	`VALUE_SCALE_TYPE_LINEAR` scale type to suggest linear axes and bins.
`static java.lang.String`	`VALUE_SCALE_TYPE_LOG` scale type to suggest log axes and bins.
`static java.lang.String`	`VERSION` String, human consumable identifying data version.
`static java.lang.String`	`WEIGHTS` QDataSet, dataset of same geometry that indicates the weights for each point.

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method and Description
`<T> T`	`capability(java.lang.Class<T> clazz)` return null or an object implementing the capability for the given interface For example:
`int`	`length()` return the length of the first dimension
`int`	`length(int i)` return the length of the second dimension, for the ith element of the first dimension.
`int`	`length(int i, int j)` return the length of the third dimension, for the ith element of the first dimension and jth element of the second dimension.
`int`	`length(int i, int j, int k)` return the length of the fourth dimension for the ith, jth and kth elements of the first three dimensions.
`java.lang.Object`	`property(java.lang.String name)` accessor for properties attached to the dataset.
`java.lang.Object`	`property(java.lang.String name, int i)` accessor for properties attached to the dataset's first index.
`int`	`rank()` returns the rank of the dataset, which is the number of indeces used to access data.
`QDataSet`	`slice(int i)` return a dataset that is a slice of this dataset, slicing on the zeroth dimension.
`java.lang.String`	`svalue()` rank 0 accessor which provides the string value
`QDataSet`	`trim(int start, int end)` return a dataset that is a subset of this dataset.
`double`	`value()` rank 0 accessor.
`double`	`value(int i)` rank 1 accessor.
`double`	`value(int i0, int i1)` rank 2 accessor.
`double`	`value(int i0, int i1, int i2)` rank 3 accessor.
`double`	`value(int i0, int i1, int i2, int i3)` rank 4 accessor.

- Field Detail
  - DEPEND_0
```
static final java.lang.String DEPEND_0
```
    type QDataSet, this dataset is a dependent parameter of the independent parameter represented in this DataSet. The tags for the DataSet's 0th index are identified by this tags dataset.
    
    See Also:
    
    Constant Field Values
  - DEPEND_1
```
static final java.lang.String DEPEND_1
```
    type QDataSet, this dataset is a dependent parameter of the independent parameter represented in this DataSet. The tags for the DataSet's 1st index are identified by this tags dataset. When DEPEND_1 is rank 2, then its first dimension goes with DEPEND_0 and its second are the tags for the second dimension.
    
    See Also:
    
    Constant Field Values
  - DEPEND_2
```
static final java.lang.String DEPEND_2
```
    type QDataSet, this dataset is a dependent parameter of the independent parameter represented in this DataSet. The tags for the DataSet's 2nd index are identified by this tags dataset. When DEPEND_2 is rank 2, then it's first dimension goes with DEPEND_0 and it's second are the tags for the second dimension.
    
    See Also:
    
    Constant Field Values
  - DEPEND_3
```
static final java.lang.String DEPEND_3
```
    type QDataSet, this dataset is a dependent parameter of the independent parameter represented in this DataSet. The tags for the DataSet's 3nd index are identified by this tags dataset. When DEPEND_3 is rank 2, then it's first dimension goes with DEPEND_0 and it's second are the tags for the second dimension.
    
    See Also:
    
    Constant Field Values
  - BUNDLE_1
```
static final java.lang.String BUNDLE_1
```
    type QDataSet describing each of the bundled datasets (Bundle Descriptor). This dataset describes how the columns should be split up into separate parameters. This rank 2 dataset has a length that is equal to the number of bundled datasets. The values(i,*) are the qube dimensions of the dataset, except for the first dimension. When all the bundled datasets are rank 1, then length(*) will be equal to zero. property(*,UNITS) will yield the unit for each dataset. Bundle dimensions generally add one physical dimension for each bundled dataset. property(*,DEPEND_0) is special, because it will return a string rather than a QDataSet. This string should refer to one of the bundled datasets by its NAME property. (Any property that returns a QDataSet should return a string referring to another dataset in the bundle.) Also the dataset is necessarily a QUBE.
    
    See Also:
    
    Constant Field Values
  - BUNDLE_0
```
static final java.lang.String BUNDLE_0
```
    type QDataSet describing each position of the rank 1 dataset (Bundle Descriptor). This dataset describes how the columns should be split up into separate parameters. See BUNDLE_1. Note slicing a dataset on the zeroth dimension will move BUNDLE_1 to BUNDLE_0. Properties defined in this dataset will be overwritten by the BUNDLE dataset's properties. For example, if the dataset has property( UNITS, 0 ) defined as "Hz" but the bundle has property( UNITS,0 ) as "Hertz" then "Hertz" is used.
    
    See Also:
    
    Constant Field Values
  - BUNDLE_2
```
static final java.lang.String BUNDLE_2
```
    type QDataSet Bundle Descriptor. When multiple BUNDLES are present, they must be simple bundles, bundling just rank 1 datasets.
    
    See Also:
    
    Constant Field Values
  - BUNDLE_3
```
static final java.lang.String BUNDLE_3
```
    type QDataSet Bundle Descriptor. When multiple BUNDLES are present, they must be simple bundles, bundling just rank 1 datasets.
    
    See Also:
    
    Constant Field Values
  - START_INDEX
```
static final java.lang.String START_INDEX
```
    type Integer, only found in a bundle descriptor (BUNDLE_0 or BUNDLE_1), this returns the integer index of the start of the current dataset. If this is null, then the index used to access the value may be used. (E.g. a bundle of Rank 1 datasets.)
    
    See Also:
    
    Constant Field Values
  - BINS_1
```
static final java.lang.String BINS_1
```
    type String which is a comma-delimited list of keywords that describe the boundary type for each column. For example, "min,max" "min,maxInclusive" or "c95min,mean,c95max". A bins dimension doesn't add a physical dimension. Autoplot uses just "min,max" and "min,maxInclusive"
    
    See Also:
    
    Constant Field Values
  - BINS_0
```
static final java.lang.String BINS_0
```
    type String which is a comma-delimited list of keywords that describe the boundary type for each column. This comma-delimited list of keywords that describe the boundary type for each column. For example, "min,max" "min,maxInclusive" or "c95min,mean,c95max". A bins dimension doesn't add a physical dimension. Autoplot uses just "min,max" and "min,maxInclusive"
    
    See Also:
    
    Constant Field Values
  - JOIN_0
```
static final java.lang.String JOIN_0
```
    type String, non-null string identifies that elements in this dimension are instances of data with the same dimensions. ds[2,20] where JOIN_0="DEPEND_1" should be equivalent to ds[40]. It's not clear if the text should indicate anything, but for now let's just indicate the next dimension.
    
    See Also:
    
    Constant Field Values
  - PLANE_0
```
static final java.lang.String PLANE_0
```
    type QDataSet, a correlated plane of data. An additional dependent DataSet that is correlated by the first index. Note "0" is just a count, and does not refer to the 0th index. All correlated datasets must be correlated by the first index. TODO: what about two rank 2 datasets? Note that if PLANE_i==null then PLANE_(i+1) must also be null.
    
    See Also:
    
    Constant Field Values
  - CONTEXT_0
```
static final java.lang.String CONTEXT_0
```
    type QDataSet, that stores the position of a slice or range in a collapsed dimension. In "Flux(Energy) @ Time=2009-03-16T11:19 UT", the Time=... comes from a context property. Note "0" is just a count, and does not refer to the 0th index. A dataset can have any number of contexts: Temperature @ ( Time, Long, Lat ): 37 deg F @ ( 2009-03-16T11:19 UT, 91.5331 deg West, 41.6579 deg North ) Typically this will be a rank 0 dataset, but may also be a rank 1 dataset with a bins dimension.
    
    See Also:
    
    Constant Field Values
  - CONTEXT_1
```
static final java.lang.String CONTEXT_1
```
    type QDataSet, that stores the position of a slice or range in a collapsed dimension. In "Flux(Energy) @ Time=2009-03-16T11:19 UT", the Time=... comes from a context property. Note "1" is just a count, and does not refer to the 1th index. A dataset can have any number of contexts: Temperature @ ( Time, Long, Lat ): 37 deg F @ ( 2009-03-16T11:19 UT, 91.5331 deg West, 41.6579 deg North ) Typically this will be a rank 0 dataset, but may also be a rank 1 dataset with a bins dimension.
    
    See Also:
    
    Constant Field Values
  - MAX_PLANE_COUNT
```
static final int MAX_PLANE_COUNT
```
    the maximum number of allowed planes. This should be used to enumerate all the planes.
    
    See Also:
    
    Constant Field Values
  - MAX_UNIT_BUNDLE_COUNT
```
static final int MAX_UNIT_BUNDLE_COUNT
```
    maximum number of same-unit bundled dimensions (e.g. B_GSM[time,Bundle]). This was introduced when CDF dataset fa_k0_tms_20040224_v01.cdf?O+_en had 48 energy channels, was marked as time_series but wouldn't render because view code limited to 12.
    
    See Also:
    
    Constant Field Values
  - MAX_RANK
```
static final int MAX_RANK
```
    the highest rank supported by the library. Arbitrary high rank datasets are supported through RankNDataSet, but must be sliced to be accessed.
    
    See Also:
    
    Constant Field Values
  - MAX_HIGH_RANK
```
static final int MAX_HIGH_RANK
```
    the highest rank supported by the library, without direct access to datums. Some codes may choose to use this when supporting high rank data is trivial.
    
    See Also:
    
    Constant Field Values
  - LIMIT_HUGE_DATASET
```
static final long LIMIT_HUGE_DATASET
```
    reference value for the size of a dataset where we would expect to start seeing performance degradation. For example, a linear algorithm totalling the dataset would perform within one second when the dataset is within this limit. This is of course a somewhat arbitrary limit, but it shows what the expectations are.
    
    See Also:
    
    Constant Field Values
  - UNITS
```
static final java.lang.String UNITS
```
    type Units indicating the units of the dataset in the enumeration of org.das2.datum.Units, as in org.das2.datum.Units.km. New unit types can be introduced with Units.lookup. For example,
    from org.das2.datum import Units u= Units.lookupUnits('seconds since 2015-001T00:00') ds= findgen(3600) ds= putProperty( ds, QDataSet.UNITS, u ) plot( ds ) # plots line from 00:00 to 01:00.
    See Also:
    
    Units, Constant Field Values
  - FORMAT
```
static final java.lang.String FORMAT
```
    type String, Java/C format string for formatting the values. This should imply precision, and codes that serialize data can use this to correctly format the data. Examples include:
    - %d integers
    - %5.1f floats with one decimal place
    - %.3e exponential notation
    - %x hex of the integer
    - $Y-$jT$H:$M:$S.$(subsec;places=9) time formats can be used here too.
    See Also:
    
    Constant Field Values
  - FILL_VALUE
```
static final java.lang.String FILL_VALUE
```
    type Number, value to be considered fill (invalid) data. Note because all data is accessed as doubles, noise may be inadvertently affect numbers.
    
    See Also:
    
    Constant Field Values
  - VALID_MIN
```
static final java.lang.String VALID_MIN
```
    type Number, minimum bounding measurements to be considered valid. Lower and Upper bounds are inclusive. FILL_VALUE should be used to make the lower bound or upper bound exclusive. Note DatumRange contains logic is exclusive on the upper bound.
    
    See Also:
    
    Constant Field Values
  - VALID_MAX
```
static final java.lang.String VALID_MAX
```
    type Number, maximum bounding measurements to be considered valid. Lower and Upper bounds are inclusive. FILL_VALUE should be used to make the lower bound or upper bound exclusive. Note DatumRange contains logic is exclusive on the upper bound.
    
    See Also:
    
    Constant Field Values
  - TYPICAL_MIN
```
static final java.lang.String TYPICAL_MIN
```
    type Number that is min used to discover datasets. This should be a reasonable representation of the expected dynamic range of the dataset.
    
    See Also:
    
    Constant Field Values
  - TYPICAL_MAX
```
static final java.lang.String TYPICAL_MAX
```
    type Number that is the max used to discover datasets. This should be a reasonable representation of the expected dynamic range of the dataset.
    
    See Also:
    
    Constant Field Values
  - SCALE_TYPE
```
static final java.lang.String SCALE_TYPE
```
    String, "linear" or "log", hinting at the preference for linear or a log axis.
    
    See Also:
    
    Constant Field Values
  - AVERAGE_TYPE
```
static final java.lang.String AVERAGE_TYPE
```
    String, Indicates how numbers should be combined in this space. Possible values are linear, geometric, mod24, mod360, and none. The value "none" indicates that no averaging is allowed (for example with nominal data) and only nearest neighbor averaging can be done. Note this is similar to SCALE_TYPE, where often geometric AVERAGE_TYPE will have a log SCALE_TYPE. When AVERAGE_TYPE is missing, linear should be assumed. See also https://spdf.gsfc.nasa.gov/istp_guide/vattributes.html#AVG_TYPE and https://sourceforge.net/p/autoplot/feature-requests/593/.
    
    See Also:
    
    Constant Field Values
  - LABEL
```
static final java.lang.String LABEL
```
    String, Concise Human-consumable label suitable for a plot label (~10 chars).
    
    See Also:
    
    Constant Field Values
  - TITLE
```
static final java.lang.String TITLE
```
    String, Human-consumable string suitable for a plot title (~100 chars).
    
    See Also:
    
    Constant Field Values
  - DESCRIPTION
```
static final java.lang.String DESCRIPTION
```
    String, Human-consumable string suitable for describing the data more fully. This should be html text, or just a link to other documentation (one URL, or two sentences to one page of text).
    
    See Also:
    
    Constant Field Values
  - WEIGHTS
```
static final java.lang.String WEIGHTS
```
    QDataSet, dataset of same geometry that indicates the weights for each point. Often weights are computed in processing, and this is where they should be stored for other routines. When the weights plane is present, routines can safely ignore the FILL_VALUE, VALID_MIN, and VALID_MAX properties, and use non-zero weight to indicate valid data. Further, averages of averages will compute accurately.
    
    See Also:
    
    Constant Field Values
  - MONOTONIC
```
static final java.lang.String MONOTONIC
```
    Boolean, Boolean.TRUE if dataset is monotonically increasing, and the data is rank 1. Data may only contain invalid values at the beginning or end, and may contain repeated values. Generally this will be used with tags datasets.
    
    See Also:
    
    Constant Field Values
  - CADENCE
```
static final java.lang.String CADENCE
```
    QDataSet of rank0, which is the expected distance between successive measurements where it is valid to make inferences about the data. For example, interpolation is disallowed for points 1.5*CADENCE apart. This property only makes sense with a tags dataset. Note this may be a "ratiometric" datum, like 110 percentIncrease, for logarithmically spaced data. Cadence must be positive.
    
    See Also:
    
    Constant Field Values
  - DELTA_PLUS
```
static final java.lang.String DELTA_PLUS
```
    QDataSet of rank 0, or correlated QDataSet that limits accuracy. This should be interpreted as the one standard deviation confidence level, and must be positive.
    
    See Also:
    
    for measurement intervals., Constant Field Values
  - DELTA_MINUS
```
static final java.lang.String DELTA_MINUS
```
    QDataSet of rank 0, or correlated QDataSet that limits accuracy. This should be interpreted as the one standard deviation confidence level, and must be positive.
    
    See Also:
    
    for measurement intervals., Constant Field Values
  - BIN_PLUS
```
static final java.lang.String BIN_PLUS
```
    QDataSet of rank 0 or correlated QDataSet identifies boundary. This is added to the measurements and should be interpreted as the upper limit of 100% confidence interval where a measurement was collected. Note if both DELTA_PLUS and BIN_PLUS are found, then BIN_PLUS must be greater or equal to DELTA_PLUS. This would be used where a rank 0 dataset could be used, and where it varies, BIN_MAX and BIN_MINUS are preferred.
    
    See Also:
    
    for one-standard deviation confidence interval., BIN_MAX, Constant Field Values
  - BIN_MINUS
```
static final java.lang.String BIN_MINUS
```
    QDataSet of rank 0 or correlated QDataSet identifies boundary. This is subtracted from the measurements and should be interpreted as the lower limit of the 100% confidence interval where a measurement was collected.
    
    See Also:
    
    for one-standard deviation confidence interval., Constant Field Values
  - BIN_MAX
```
static final java.lang.String BIN_MAX
```
    QDataSet of rank 1 identifies boundary in the same units as the dataset. This should be interpreted as the upper limit of 100% confidence interval where a measurement was collected. When this is found, BIN_PLUS and BIN_MINUS should be ignored.
    
    See Also:
    
    which is the offset., Constant Field Values
  - BIN_MIN
```
static final java.lang.String BIN_MIN
```
    QDataSet of rank 1 identifies boundary in the same units as the dataset. This should be interpreted as the lower limit of the 100% confidence interval where a measurement was collected. When this is found, BIN_PLUS and BIN_MINUS should be ignored.
    
    See Also:
    
    which is the offset., Constant Field Values
  - BIN_MIN_NAME
```
static final java.lang.String BIN_MIN_NAME
```
    name of the dataset in a bundle to be connected to BIN_MIN.
    
    See Also:
    
    Constant Field Values
  - BIN_MAX_NAME
```
static final java.lang.String BIN_MAX_NAME
```
    name of the dataset in a bundle to be connected to BIN_MAX.
    
    See Also:
    
    Constant Field Values
  - BIN_MINUS_NAME
```
static final java.lang.String BIN_MINUS_NAME
```
    name of the dataset in a bundle to be connected to BIN_MINUS.
    
    See Also:
    
    Constant Field Values
  - BIN_PLUS_NAME
```
static final java.lang.String BIN_PLUS_NAME
```
    name of the dataset in a bundle to be connected to BIN_PLUS.
    
    See Also:
    
    Constant Field Values
  - DELTA_PLUS_NAME
```
static final java.lang.String DELTA_PLUS_NAME
```
    name of the dataset in a bundle to be connected to DELTA_PLUS.
    
    See Also:
    
    Constant Field Values
  - DELTA_MINUS_NAME
```
static final java.lang.String DELTA_MINUS_NAME
```
    name of the dataset in a bundle to be connected to DELTA_MINUS.
    
    See Also:
    
    Constant Field Values
  - CACHE_TAG
```
static final java.lang.String CACHE_TAG
```
    CacheTag, indicating the coverage and resolution of a dimension. This is an object that represents the coverage and resolution of the interval covered. For example, in Autoplot the TimeSeriesBrowse uses this to keep track of what's already been read.
    
    See Also:
    
    Constant Field Values
  - RENDER_TYPE
```
static final java.lang.String RENDER_TYPE
```
    String, hint as to preferred rendering method. Examples include "spectrogram", "time_series", and "stack_plot", "nnSpectrogram", "hugeScatter", "series", "scatter", "colorScatter", "stairSteps", "fillToZero" "digital", "image", "pitchAngleDistribution", "eventsBar". Note these are just suggestions and are not interpreted in the library.
    
    See Also:
    
    Constant Field Values
  - VALUE_AVERAGE_TYPE_NONE
```
static final java.lang.String VALUE_AVERAGE_TYPE_NONE
```
    combining numbers is not allowed, and often nearest neighbor is a suitable result.
    
    See Also:
    
    Constant Field Values
  - VALUE_AVERAGE_TYPE_LINEAR
```
static final java.lang.String VALUE_AVERAGE_TYPE_LINEAR
```
    typical averages sum(ds)/len(ds)
    
    See Also:
    
    Constant Field Values
  - VALUE_AVERAGE_TYPE_GEOMETRIC
```
static final java.lang.String VALUE_AVERAGE_TYPE_GEOMETRIC
```
    geometric mean where result is exp(sum(log(ds))/len(ds))
    
    See Also:
    
    Constant Field Values
  - VALUE_AVERAGE_TYPE_MOD24
```
static final java.lang.String VALUE_AVERAGE_TYPE_MOD24
```
    mod24 mean where avg([23,1]) is 0.
    
    See Also:
    
    Constant Field Values
  - VALUE_AVERAGE_TYPE_MOD360
```
static final java.lang.String VALUE_AVERAGE_TYPE_MOD360
```
    mod360 mean where avg([359,1]) is 0.
    
    See Also:
    
    Constant Field Values
  - VALUE_AVERAGE_TYPE_MODPI
```
static final java.lang.String VALUE_AVERAGE_TYPE_MODPI
```
    modpi mean where avg( [5*PI/6,7*PI/6] ) is 0.
    
    See Also:
    
    Constant Field Values
  - VALUE_AVERAGE_TYPE_MODTAU
```
static final java.lang.String VALUE_AVERAGE_TYPE_MODTAU
```
    modtau mean where avg( [5*TAU/6,7*TAU/6] ) is 0.
    
    See Also:
    
    Constant Field Values
  - VALUE_RENDER_TYPE_SERIES
```
static final java.lang.String VALUE_RENDER_TYPE_SERIES
```
    full-fidelity rendering of buckshot and connect-a-dot plots
    
    See Also:
    
    Constant Field Values
  - VALUE_RENDER_TYPE_NNSPECTROGRAM
```
static final java.lang.String VALUE_RENDER_TYPE_NNSPECTROGRAM
```
    use blocks to draw each point, so data extents can be seen.
    
    See Also:
    
    Constant Field Values
  - VALUE_RENDER_TYPE_EVENTS_BAR
```
static final java.lang.String VALUE_RENDER_TYPE_EVENTS_BAR
```
    draw events bars
    
    See Also:
    
    Constant Field Values
  - VALUE_RENDER_TYPE_DIGITAL
```
static final java.lang.String VALUE_RENDER_TYPE_DIGITAL
```
    values are drawn.
    
    See Also:
    
    Constant Field Values
  - VALUE_RENDER_TYPE_COMPOSITE_IMAGE
```
static final java.lang.String VALUE_RENDER_TYPE_COMPOSITE_IMAGE
```
    values are an RGB image, a rank 3 dataset [w,h,3] or [w,h,4]. The "3" should be R,G, and B channels, and when "4" is used, ARGB is the default. There can be a DEPEND_2 that is a QDataSet with ordinal data, specifying the channels like so Ops.labelsDataset(['a','b','g','r']) or Ops.labelsDataset(['a','b','g','r']). Only bgr or rgb models are supported in the RGBImageRenderer, but future versions could support other color models.
    
    See Also:
    
    Constant Field Values
  - VALUE_RENDER_TYPE_TRIANGLE_MESH
```
static final java.lang.String VALUE_RENDER_TYPE_TRIANGLE_MESH
```
    triangle mesh type
    
    See Also:
    
    Constant Field Values
  - NAME
```
static final java.lang.String NAME
```
    String, a java identifier that should can be used when an identifier is needed. This is originally introduced for debugging purposes, so datasets can have a concise, meaningful name that is decoupled from the label. When NAMEs are used, properties with the same name should only refer to the named dataset.
    
    See Also:
    
    Constant Field Values
  - QUBE
```
static final java.lang.String QUBE
```
    Boolean.TRUE indicates that the dataset is a "qube," meaning that all dimensions have fixed length and certain optimizations and operators are allowed. Note that when DEPEND_1 is a rank 1 dataset, this implies QUBE. Likewise BUNDLE_1 is a qube. Note the result of any slice must be a qube.
    
    See Also:
    
    Constant Field Values
  - COORDINATE_FRAME
```
static final java.lang.String COORDINATE_FRAME
```
    String, representing the coordinate frame of the vector index. The units of a dataset should be EnumerationUnits which convert the data in this dimension to dimension labels that are understood in the coordinate frame label context. (E.g. X,Y,Z in GSM.) (Note this is before BUNDLE dimensions were formalized and is not used.)
    
    See Also:
    
    Constant Field Values
  - METADATA
```
static final java.lang.String METADATA
```
    Map<String,Object> representing additional properties used by client codes. No interpretation is done of these properties, but they are passed around as much as possible. Note Object can be String, Double, or Map<String,Object>. METADATA_MODEL is a string identifying the type of metadata, a scheme for the metadata tree, such as ISTP-CDF or SPASE.
    
    See Also:
    
    Constant Field Values
  - METADATA_MODEL
```
static final java.lang.String METADATA_MODEL
```
    String, a scheme for the metadata tree, such as ISTP or SPASE. This should identify a node's type when the node is present, but should not require that the node be present. When a required node is missing, this should be treated as if none of the metadata is available. This logic is to support aggregating metadata.
    
    See Also:
    
    Constant Field Values
  - VALUE_METADATA_MODEL_ISTP
```
static final java.lang.String VALUE_METADATA_MODEL_ISTP
```
    the metadata is ISTP-CDF metadata
    
    See Also:
    
    Constant Field Values
  - VALUE_METADATA_MODEL_SPASE
```
static final java.lang.String VALUE_METADATA_MODEL_SPASE
```
    the metadata is SPASE (Space Physics Archive Search Extract)
    
    See Also:
    
    Constant Field Values
  - VALUE_COORDINATE_FRAME_COMPLEX_NUMBER
```
static final java.lang.String VALUE_COORDINATE_FRAME_COMPLEX_NUMBER
```
    the value is a complex number, having two elements, the first is real second is imaginary.
    
    See Also:
    
    Constant Field Values
  - VERSION
```
static final java.lang.String VERSION
```
    String, human consumable identifying data version. Presently this is intended for human consumption, but eventually we may make them usable by software as well. Note if multiple versions go into making a product (e.g. aggregation), the version string should contain space-delimited version ids, so note versions must not contain spaces for other purposes. Also two version strings containing the same value can be coalesced. If this is prefixed with "<scheme>:", then this is to be interpreted as such:
    - sep: period-delimited list of numeric sorted: 2.2.0 < 2.15.2 < 10.2.0
    - alpha: alpha-numeric sorted: 20030202B>20030202A
    otherwise it should be numerically sorted. (see org.das2.fsm.FileStorageModel)
    See Also:
    
    Constant Field Values
  - SOURCE
```
static final java.lang.String SOURCE
```
    String, Human-consumable string identifying the source of a dataset, such as the file or URI from which it was read. Clearly this is easily lost as processes are applied to the data, but when no other source is involved in a process (excluding library code itself), then the source should be preserved.
    
    See Also:
    
    Constant Field Values
  - NOTES
```
static final java.lang.String NOTES
```
    QDataSet of events scheme, containing a list of messages encountered during processing that annotate the data. For example, the AggregatingDataSource in Autoplot would add an event to the dataset when a file could not be used. This is a rank 2 dataset with BUNDLE_1=startTime,stopTime,message for now, but may soon allow for bounding qubes: BUNDLE_1=startTime,stopTime,startEn,stopEn,message, and this should be visualized via the EventsRenderer.
    
    See Also:
    
    Constant Field Values
  - DEPENDNAME_0
```
static final java.lang.String DEPENDNAME_0
```
    String, the name of another dataset in the bundle descriptor. Before this was introduced, a BundleDescriptor could have DEPEND_0 be a string.
    
    See Also:
    
    Constant Field Values
  - DEPENDNAME_1
```
static final java.lang.String DEPENDNAME_1
```
    String, the name of another dataset in the bundle descriptor. Before this was introduced, a BundleDescriptor could have DEPEND_1 be a string. Note this should only be used if DEPEND_1 is rank 2, otherwise the dataset should be a property of DEPEND_1.
    
    See Also:
    
    Constant Field Values
  - ELEMENT_NAME
```
static final java.lang.String ELEMENT_NAME
```
    String, the name of the rank 2 or more dataset in a bundle descriptor.
    
    See Also:
    
    Constant Field Values
  - ELEMENT_LABEL
```
static final java.lang.String ELEMENT_LABEL
```
    String, the label of the rank 2 or more dataset in a bundle descriptor.
    
    See Also:
    
    Constant Field Values
  - ELEMENT_DIMENSIONS
```
static final java.lang.String ELEMENT_DIMENSIONS
```
    int array, the dimensions of the element. A rank 0 is implicitly [], a rank 1, n by 1, would be [1]. This is similar to the size command, for one record of the data.
    
    See Also:
    
    Ops.size(org.das2.qds.QDataSet), Constant Field Values
  - USER_PROPERTIES
```
static final java.lang.String USER_PROPERTIES
```
    Map<String,Object> representing additional properties used by client codes. No interpretation is done of these properties, but they are passed around as much as possible. The object values should be but don't have to be limited to: double, double array, datum, QDataSet, String, String array.
    
    See Also:
    
    Constant Field Values
  - VALUE_BINS_MIN_MAX
```
static final java.lang.String VALUE_BINS_MIN_MAX
```
    typical bin is min,max with min inclusive and max exclusive.
    
    See Also:
    
    Constant Field Values
  - VALUE_BINS_MIN_MAX_INCLUSIVE
```
static final java.lang.String VALUE_BINS_MIN_MAX_INCLUSIVE
```
    typical bin is min,max with min inclusive and max exclusive.
    
    See Also:
    
    Constant Field Values
  - VALUE_SCALE_TYPE_LOG
```
static final java.lang.String VALUE_SCALE_TYPE_LOG
```
    scale type to suggest log axes and bins.
    
    See Also:
    
    Constant Field Values
  - VALUE_SCALE_TYPE_LINEAR
```
static final java.lang.String VALUE_SCALE_TYPE_LINEAR
```
    scale type to suggest linear axes and bins.
    
    See Also:
    
    Constant Field Values
  - MIN_WAVEFORM_LENGTH
```
static final int MIN_WAVEFORM_LENGTH
```
    the minimum length of each of the waveform packets in a rank 2 waveform dataset.
    
    See Also:
    
    Constant Field Values
  - DEFAULT_FILL_VALUE
```
static final double DEFAULT_FILL_VALUE
```
    the fill value often used in codes.
    
    See Also:
    
    Constant Field Values
- Method Detail
  - rank
```
int rank()
```
    returns the rank of the dataset, which is the number of indeces used to access data. Only rank 0, 1, 2, 3, and 4 datasets are supported in the interface. When a dataset's rank is 5 or greater, it should implement the HighRankDataSet interface which affords a slice operation to reduce rank.
    
    Returns:
    
    the rank, or number of indeces used to access data.
  - value
```
double value()
```
    rank 0 accessor.
    
    Returns:
    
    the value, see the property UNITS to interpret this.
    
    Throws:
    
    java.lang.IllegalArgumentException - if the dataset is not rank 0.
  - svalue
```
java.lang.String svalue()
```
    rank 0 accessor which provides the string value
    
    Returns:
    
    the value, see the property UNITS to interpret this.
    
    Throws:
    
    java.lang.IllegalArgumentException - if the dataset is not rank 0.
  - value
```
double value(int i)
```
    rank 1 accessor.
    
    Parameters:
    
    i - the index
    
    Returns:
    
    the value, see the property UNITS to interpret this.
    
    Throws:
    
    java.lang.IllegalArgumentException - if the dataset is not rank 1.
  - value
```
double value(int i0,
             int i1)
```
    rank 2 accessor.
    
    Parameters:
    
    i0 - the index
    
    i1 - the index
    
    Returns:
    
    the value, see the property UNITS to interpret this.
    
    Throws:
    
    java.lang.IllegalArgumentException - if the dataset is not rank 2.
  - value
```
double value(int i0,
             int i1,
             int i2)
```
    rank 3 accessor.
    
    Parameters:
    
    i0 - the index
    
    i1 - the index
    
    i2 - the index
    
    Returns:
    
    the value, see the property UNITS to interpret this.
    
    Throws:
    
    java.lang.IllegalArgumentException - if the dataset is not rank 3.
  - value
```
double value(int i0,
             int i1,
             int i2,
             int i3)
```
    rank 4 accessor.
    
    Parameters:
    
    i0 - the index
    
    i1 - the index
    
    i2 - the index
    
    i3 - the index
    
    Returns:
    
    the value, see the property UNITS to interpret this.
    
    Throws:
    
    java.lang.IllegalArgumentException - if the dataset is not rank 4.
  - property
```
java.lang.Object property(java.lang.String name)
```
    accessor for properties attached to the dataset. See final static members for example properties.
    
    Parameters:
    
    name - property name, such as "DEPEND_0" or "UNITS"
    
    Returns:
    
    the value
    
    See Also:
    
    DEPEND_0, UNITS
  - property
```
java.lang.Object property(java.lang.String name,
                          int i)
```
    accessor for properties attached to the dataset's first index. These properties override (or shadow) properties attached to the dataset, and often implementations will simply return the result of the no-index accessor. Note: properties of higher dimension are accessible only by slicing.
    
    Parameters:
    
    name - property name, such as "DEPEND_0" or "UNITS"
    
    i - the index
    
    Returns:
    
    the value
    
    See Also:
    
    DEPEND_0, UNITS
  - length
```
int length()
```
    return the length of the first dimension
    
    Returns:
    
    the length of the first dimension
  - length
```
int length(int i)
```
    return the length of the second dimension, for the ith element of the first dimension. Note if there are zero elements in the first dimension, but this is a QUBE, then this should not throw an IndexOutOfBoundsException.
    
    Parameters:
    
    i - the index
    
    Returns:
    
    the length of the second dimension at index i.
  - length
```
int length(int i,
           int j)
```
    return the length of the third dimension, for the ith element of the first dimension and jth element of the second dimension.
    
    Parameters:
    
    i - the index
    
    j - the index
    
    Returns:
    
    the length of the third dimension at index i.
  - length
```
int length(int i,
           int j,
           int k)
```
    return the length of the fourth dimension for the ith, jth and kth elements of the first three dimensions.
    
    Parameters:
    
    i - the index
    
    j - the index
    
    k - the index
    
    Returns:
    
    the length of the fourth dimension for the ith, jth and kth elements of the first three dimensions.
  - slice
```
QDataSet slice(int i)
```
    return a dataset that is a slice of this dataset, slicing on the zeroth dimension. A slice will be the elements at this index, for example if this dataset is a rank 2 dataset flux(Time,Energy) then the slice of this will be a rank 1 dataset flux(Energy). The result of any slice will be a qube. Note the index must be positive. Negative indices, referenced from the end of the dataset, are not supported.
    
    Parameters:
    
    i - the index to slice at
    
    Returns:
    
    the rank n-1 QDataSet at index i.
    
    Throws:
    
    java.lang.IllegalArgumentException - when dataset rank is zero.
  - trim
```
QDataSet trim(int start,
              int end)
```
    return a dataset that is a subset of this dataset. For example:
```
 
    ds= DDataSet.createRank1(100);
    QDataSet trim= ds.trim(50,60);
    assert( trim.length()==10 );
 
 
```
    Note start and end must be positive. Negative indices, referenced from the end of the dataset, are not supported here.
    Parameters:
    
    start - the first index to be included in the new dataset.
    
    end - the exclusive index indicating the last index.
    
    Returns:
    
    a QDataSet with the same rank but fewer elements.
  - capability
```
<T> T capability(java.lang.Class<T> clazz)
```
    return null or an object implementing the capability for the given interface For example:
    ds= DDataSet.createRank1(100); WriteCapability write= ds.capability( WriteCapability.class ); write.putValue( 99, -1e31 );
    This allows operations to be performed efficiently. Note there is no WriteCapability class, this is just an example.
    Type Parameters:
    
    T - a capability
    
    Parameters:
    
    clazz - the class, such as WriteCapability.class
    
    Returns:
    
    the implementing class, or null (Jython None) if the capability is not provided.
    
    See Also:
    
    LongWriteAccess, LongReadAccess, FloatReadAccess

Interface QDataSet

Field Summary

Method Summary

Field Detail

DEPEND_0

DEPEND_1

DEPEND_2

DEPEND_3

BUNDLE_1

BUNDLE_0

BUNDLE_2

BUNDLE_3

START_INDEX

BINS_1

BINS_0

JOIN_0

PLANE_0

CONTEXT_0

CONTEXT_1

MAX_PLANE_COUNT

MAX_UNIT_BUNDLE_COUNT

MAX_RANK

MAX_HIGH_RANK

LIMIT_HUGE_DATASET

UNITS

FORMAT

FILL_VALUE

VALID_MIN

VALID_MAX

TYPICAL_MIN

TYPICAL_MAX

SCALE_TYPE

AVERAGE_TYPE

LABEL

TITLE

DESCRIPTION

WEIGHTS

MONOTONIC

CADENCE

DELTA_PLUS

DELTA_MINUS

BIN_PLUS

BIN_MINUS

BIN_MAX

BIN_MIN

BIN_MIN_NAME

BIN_MAX_NAME

BIN_MINUS_NAME

BIN_PLUS_NAME

DELTA_PLUS_NAME

DELTA_MINUS_NAME

CACHE_TAG

RENDER_TYPE

VALUE_AVERAGE_TYPE_NONE

VALUE_AVERAGE_TYPE_LINEAR

VALUE_AVERAGE_TYPE_GEOMETRIC

VALUE_AVERAGE_TYPE_MOD24

VALUE_AVERAGE_TYPE_MOD360

VALUE_AVERAGE_TYPE_MODPI

VALUE_AVERAGE_TYPE_MODTAU

VALUE_RENDER_TYPE_SERIES

VALUE_RENDER_TYPE_NNSPECTROGRAM

VALUE_RENDER_TYPE_EVENTS_BAR

VALUE_RENDER_TYPE_DIGITAL

VALUE_RENDER_TYPE_COMPOSITE_IMAGE

VALUE_RENDER_TYPE_TRIANGLE_MESH

NAME

QUBE

COORDINATE_FRAME

METADATA

METADATA_MODEL

VALUE_METADATA_MODEL_ISTP

VALUE_METADATA_MODEL_SPASE

VALUE_COORDINATE_FRAME_COMPLEX_NUMBER

VERSION

SOURCE

NOTES

DEPENDNAME_0

DEPENDNAME_1

ELEMENT_NAME