class DatasetApi extends TargetedHttpSupport with DebugEnhancedLogging
Functions that operate on a single dataset. See https://guides.dataverse.org/en/latest/api/native-api.html#datasets.
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        def
      
      
        addFile(optDataFile: Option[File] = Option.empty, optFileMetadata: Option[FileMeta] = Option.empty): Try[DataverseResponse[FileList]]
      
      
      - optDataFile
- optional file data to upload 
- optFileMetadata
- optional metadata for the file 
 
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        addFileItem(optDataFile: Option[File] = Option.empty, optFileMetadata: Option[String] = Option.empty): Try[DataverseResponse[FileList]]
      
      
      This function is called addFileItem instead of simply addFile to avoid naming conflicts with the other addFile function. This function is called addFileItem instead of simply addFile to avoid naming conflicts with the other addFile function. The only difference is that this function takes the metadata as a string, whereas addFile takes it as a model object. - optDataFile
- optional file data to upload 
- optFileMetadata
- optional metadata as a JSON string 
 - See also
- https://guides.dataverse.org/en/latest/api/native-api.html#add-a-file-to-a-dataset 
 
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        def
      
      
        addPrestagedFile(prestagedFile: PrestagedFile): Try[DataverseResponse[FileList]]
      
      
      Adds a pre-staged file Adds a pre-staged file - prestagedFile
- metadata about the prestaged file 
 
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        val
      
      
        apiPrefix: String
      
      
      - Attributes
- protected
- Definition Classes
- DatasetApi → HttpSupport
 
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        val
      
      
        apiToken: Option[String]
      
      
      - Attributes
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- Definition Classes
- DatasetApi → HttpSupport
 
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        val
      
      
        apiVersion: Option[String]
      
      
      - Attributes
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- Definition Classes
- DatasetApi → HttpSupport
 
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        asInstanceOf[T0]: T0
      
      
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        assignRole(roleAssignment: RoleAssignment): Try[DataverseResponse[RoleAssignmentReadOnly]]
      
      
      - roleAssignment
- object describing the assignment 
 
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        assignRole(s: String): Try[DataverseResponse[RoleAssignmentReadOnly]]
      
      
      - s
- JSON document describing the assignment 
 
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        def
      
      
        awaitLock(lockType: String, maxNumberOfRetries: Int = awaitLockStateMaxNumberOfRetries, waitTimeInMilliseconds: Int = ...): Try[Unit]
      
      
      Utility function that lets you wait until a specified lock type is set. Utility function that lets you wait until a specified lock type is set. Unlike most other functions in this library, this does not correspond directly with an API call. Rather the getLocks call is done repeatedly to check if the locks has been set. A use case is when an http/sr workflow wants to make sure that a dataset has been locked on its behalf, so that it can be sure to have exclusive access via its invocation ID. - lockType
- the lock type to wait for 
- maxNumberOfRetries
- the maximum number the check for unlock is made, defaults to awaitLockStateMaxNumberOfRetries 
- waitTimeInMilliseconds
- the time between tries, defaults to awaitLockStateMillisecondsBetweenRetries 
 
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        val
      
      
        awaitLockStateMaxNumberOfRetries: Int
      
      
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        val
      
      
        awaitLockStateMillisecondsBetweenRetries: Int
      
      
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        def
      
      
        awaitUnlock(maxNumberOfRetries: Int = awaitLockStateMaxNumberOfRetries, waitTimeInMilliseconds: Int = ...): Try[Unit]
      
      
      Utility function that lets you wait until all locks are cleared before proceeding. Utility function that lets you wait until all locks are cleared before proceeding. Unlike most other functions in this library, this does not correspond directly with an API call. Rather the getLocks call is done repeatedly to check if the locks have been cleared. Note that in scenarios where concurrent processes might access the same dataset it is not guaranteed that the locks, once cleared, stay that way. - maxNumberOfRetries
- the maximum number the check for unlock is made, defaults to awaitLockStateMaxNumberOfRetries 
- waitTimeInMilliseconds
- the time between tries, defaults to awaitLockStateMillisecondsBetweenRetries 
 
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        val
      
      
        baseUrl: URI
      
      
      - Attributes
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- Definition Classes
- DatasetApi → HttpSupport
 
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        def
      
      
        clone(): AnyRef
      
      
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        val
      
      
        connectionTimeout: Int
      
      
      - Attributes
- protected
- Definition Classes
- DatasetApi → HttpSupport
 
-  def createPrivateUrl(): Try[DataverseResponse[PrivateUrlData]]
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        debug(msg: String)(implicit enclosing: Name): Unit
      
      
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        def
      
      
        delete(): Try[DataverseResponse[DataMessage]]
      
      
      Note: delete on a published dataset with one version also works, if you are a superuser. Note: delete on a published dataset with one version also works, if you are a superuser. 
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        def
      
      
        deleteAtTarget[D](endPoint: String)(implicit arg0: Manifest[D]): Try[DataverseResponse[D]]
      
      
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        def
      
      
        deleteDraft(): Try[DataverseResponse[DataMessage]]
      
      
      Deletes the current draft of a dataset. Deletes the current draft of a dataset. Note: as of writing this there is a bug in Dataverse (v5.1.1) which causes it to use the literal string :persistendIdin the response message instead of the actual identifier when using a PID.
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        def
      
      
        deleteMetadata(fields: FieldList): Try[DataverseResponse[DatasetVersion]]
      
      
      Deletes one or more values from the current draft's metadata. Deletes one or more values from the current draft's metadata. Note that the delete will fail if the result would leave required fields empty. - fields
- the fields to delete 
 
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        deleteMetadata(s: String): Try[DataverseResponse[DatasetVersion]]
      
      
      Deletes one or more values from the current draft's metadata. Deletes one or more values from the current draft's metadata. Note that the delete will fail if the result would leave required fields empty. - s
- JSON document describing what to delete 
 
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        def
      
      
        deletePath[D](subPath: String = null, headers: Map[String, String] = Map.empty, params: Map[String, String] = Map.empty)(implicit arg0: Manifest[D]): Try[DataverseResponse[D]]
      
      
      - Attributes
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-  def deletePrivateUrl(): Try[DataverseResponse[Nothing]]
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        def
      
      
        deleteRoleAssignment(assignmentId: Int): Try[DataverseResponse[Nothing]]
      
      
      Use DatasetApi#listRoleAssignments to get the ID. Use DatasetApi#listRoleAssignments to get the ID. - assignmentId
- the ID of the assignment to delete 
 
-  def destroy(): Try[DataverseResponse[DataMessage]]
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        def
      
      
        editMetadata(fields: FieldList, replace: Boolean = true): Try[DataverseResponse[DatasetVersion]]
      
      
      Edits the current draft's metadata, adding the fields that do not exist yet. Edits the current draft's metadata, adding the fields that do not exist yet. If replaceis set tofalse, all specified fields must be either currently empty or allow multiple values.- fields
- list of fields to edit 
- replace
- whether to replace existing values 
 
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        def
      
      
        editMetadata(s: String, replace: Boolean): Try[DataverseResponse[DatasetVersion]]
      
      
      Edits the current draft's metadata, adding the fields that do not exist yet. Edits the current draft's metadata, adding the fields that do not exist yet. If replaceis set tofalse, all specified fields must be either currently empty or allow multiple values.- s
- JSON document containing the edits to perform 
- replace
- whether to replace existing values 
 
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        def
      
      
        editMetadata(s: String): Try[DataverseResponse[DatasetVersion]]
      
      
      Edits the current draft's metadata, adding the fields that do not exist yet. Edits the current draft's metadata, adding the fields that do not exist yet. If replaceis set tofalse, all specified fields must be either currently empty or allow multiple values. Replaces existing data.- s
- JSON document containing the edits to perform 
 
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        eq(arg0: AnyRef): Boolean
      
      
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        equals(arg0: Any): Boolean
      
      
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        def
      
      
        exportMetadata(format: String): Try[DataverseResponse[Any]]
      
      
      Since the export format is generally not JSON you cannot use the DataverseResponse#json and DataverseResponse#data on the result. Since the export format is generally not JSON you cannot use the DataverseResponse#json and DataverseResponse#data on the result. You should instead use DataverseResponse#string. Note that this API does not support specifying a version. - format
- the export format 
 
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        extraHeaders: Map[String, String]
      
      
      - Attributes
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- Definition Classes
- DatasetApi → TargetedHttpSupport
 
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        finalize(): Unit
      
      
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        def
      
      
        get[D](subPath: String = null, headers: Map[String, String] = Map.empty, params: Map[String, String] = Map.empty)(implicit arg0: Manifest[D]): Try[DataverseResponse[D]]
      
      
      - Attributes
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- HttpSupport
 
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        getClass(): Class[_]
      
      
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-  def getDownloadSize(version: Version = Version.LATEST): Try[DataverseResponse[DataMessage]]
-  def getLocks: Try[DataverseResponse[List[Lock]]]
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        getMetadataBlock(name: String, version: Version = Version.LATEST): Try[DataverseResponse[MetadataBlock]]
      
      
      - name
- the metadata block identifier 
- version
- the version of the dataset 
 
-  def getPrivateUrl: Try[DataverseResponse[PrivateUrlData]]
-  def getStorageDriver: Try[DataverseResponse[DataMessage]]
-  def getStorageSize(includeCached: Boolean = false): Try[DataverseResponse[DataMessage]]
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        getUnversionedFromTarget[D](endPoint: String, queryParams: Map[String, String] = Map.empty)(implicit arg0: Manifest[D]): Try[DataverseResponse[D]]
      
      
      Get something for which versions do not apply Get something for which versions do not apply - D
- the type of model object to expect in the response message 
- endPoint
- the API endpoint 
 - Attributes
- protected
- Definition Classes
- TargetedHttpSupport
 
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        getUnwrapped(subPath: String = null, headers: Map[String, String] = Map.empty, params: Map[String, String] = Map.empty): Try[HttpResponse[Array[Byte]]]
      
      
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        getUnwrappedFromTarget(endPoint: String, queryParams: Map[String, String] = Map.empty): Try[HttpResponse[Array[Byte]]]
      
      
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        getVersionedFromTarget[D](endPoint: String, version: Version = Version.LATEST)(implicit arg0: Manifest[D]): Try[DataverseResponse[D]]
      
      
      Get a specific version of something. Get a specific version of something. - D
- the type of model object to expect in the response message 
- endPoint
- the API endpoint 
- version
- the version or version label 
 - Attributes
- protected
- Definition Classes
- TargetedHttpSupport
 
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        hashCode(): Int
      
      
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        val
      
      
        id: String
      
      
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- DatasetApi → TargetedHttpSupport
 
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        isInstanceOf[T0]: Boolean
      
      
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        isPersistentId: Boolean
      
      
      - Attributes
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- DatasetApi → TargetedHttpSupport
 
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        def
      
      
        link(targetDataverse: String): Try[DataverseResponse[DataMessage]]
      
      
      - targetDataverse
- alias of the dataverse in which the link to the dataset should appear 
 
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        def
      
      
        listFiles(version: Version = Version.LATEST): Try[DataverseResponse[List[FileMeta]]]
      
      
      - version
- the version of the dataset 
 
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        def
      
      
        listMetadataBlocks(version: Version = Version.LATEST): Try[DataverseResponse[MetadataBlocks]]
      
      
      - version
- the version of the dataset 
- returns
- a map of metadata block identifier to metadata block 
 
-  def listRoleAssignments(): Try[DataverseResponse[List[RoleAssignmentReadOnly]]]
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        postFile[D](subPath: String, optFile: Option[File], optJsonMetadata: Option[String] = Option.empty, headers: Map[String, String] = Map.empty, params: Map[String, String] = Map.empty)(implicit arg0: Manifest[D]): Try[DataverseResponse[D]]
      
      
      Posts a multi-part message with an optional file and optional JSON metadata part. Posts a multi-part message with an optional file and optional JSON metadata part. Probably at least one is required, but since this is an internal function, this is not validated. - D
- the payload type for the DataverseResponse 
- subPath
- subpath to post to 
- optFile
- the optional file 
- optJsonMetadata
- the optional metadata 
- headers
- extra headers 
- params
- extra query parameters 
- returns
- a DataverseResponse 
 - Attributes
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        postFileToTarget[D](endPoint: String, optFile: Option[File], optMetadata: Option[String], queryParams: Map[String, String] = Map.empty)(implicit arg0: Manifest[D]): Try[DataverseResponse[D]]
      
      
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        postJson[D](subPath: String = null, body: String = null, headers: Map[String, String] = Map.empty, params: Map[String, String] = Map.empty, isJsonLd: Boolean = false)(implicit arg0: Manifest[D]): Try[DataverseResponse[D]]
      
      
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        postJsonToTarget[D](endPoint: String, body: String, queryParams: Map[String, String] = Map.empty, headers: Map[String, String] = Map.empty, isJsonLd: Boolean = false)(implicit arg0: Manifest[D]): Try[DataverseResponse[D]]
      
      
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        postText[D](subPath: String = null, body: String = null, headers: Map[String, String] = Map.empty, params: Map[String, String] = Map.empty)(implicit arg0: Manifest[D]): Try[DataverseResponse[D]]
      
      
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        def
      
      
        publish(updateType: UpdateType, assureIsIndexed: Boolean = true): Try[DataverseResponse[DatasetPublicationResult]]
      
      
      Publishes the current draft of a dataset as a new version. Publishes the current draft of a dataset as a new version. If publish is called shortly after a modification and there is a pre-publication workflow installed, there is a risk of the workflow failing to start because of an OptimisticLockException. This is caused by Dataverse indexing the dataset on a separate thread. This will appear to the client as Dataverse silently failing (i.e. returning success but not publishing the dataset). To make sure that indexing has already happened the assureIsIndexedparameter is set totrue. It will cause Dataverse to fail fast if indexing is still pending.- updateType
- major or minor version update 
- assureIsIndexed
- make Dataverse return 409 Conflict if an index action is pending 
 
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        put[D](subPath: String = null, body: String = null, headers: Map[String, String] = Map.empty, params: Map[String, String] = Map.empty)(implicit arg0: Manifest[D]): Try[DataverseResponse[D]]
      
      
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        putJson[D](subPath: String = null, body: String = null, headers: Map[String, String] = Map.empty, params: Map[String, String] = Map.empty, isJsonLd: Boolean = false)(implicit arg0: Manifest[D]): Try[DataverseResponse[D]]
      
      
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        putJsonToTarget[D](endPoint: String, body: String, queryParams: Map[String, String] = Map.empty, isJsonLd: Boolean = false)(implicit arg0: Manifest[D]): Try[DataverseResponse[D]]
      
      
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        putToTarget[D](endPoint: String, body: String, queryParams: Map[String, String] = Map.empty)(implicit arg0: Manifest[D]): Try[DataverseResponse[D]]
      
      
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        val
      
      
        readTimeout: Int
      
      
      - Attributes
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        def
      
      
        releaseMigrated(publicationDateJsonLd: String, assureIsIndexed: Boolean = true): Try[DataverseResponse[DatasetPublicationResult]]
      
      
      Publishes the current draft of an imported dataset as a new version with the original publication date. Publishes the current draft of an imported dataset as a new version with the original publication date. If publish is called shortly after a modification and there is a pre-publication workflow installed, there is a risk of the workflow failing to start because of an OptimisticLockException. This is caused by Dataverse indexing the dataset on a separate thread. This will appear to the client as Dataverse silently failing (i.e. returning success but not publishing the dataset). To make sure that indexing has already happened the assureIsIndexedparameter is set totrue. It will cause Dataverse to fail fast if indexing is still pending.- publicationDateJsonLd
- original publication date 
- assureIsIndexed
- make Dataverse return 409 Conflict if an index action is pending 
 
-  def resetStorageDriver(): Try[DataverseResponse[DataMessage]]
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        returnToAuthor(s: String): Try[DataverseResponse[DataMessage]]
      
      
      - s
- JSON document containing the reason for returning the dataset 
 
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        revertCitationDateField(): Try[DataverseResponse[Nothing]]
      
      
      Restores the default citation date field type. Restores the default citation date field type. 
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        sendApiTokenViaBasicAuth: Boolean
      
      
      - Attributes
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- DatasetApi → HttpSupport
 
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        def
      
      
        setCitationDateField(fieldName: String): Try[DataverseResponse[Nothing]]
      
      
      Sets the dataset citation date field type for a given dataset. Sets the dataset citation date field type for a given dataset. - fieldName
- the field name of a date field 
 
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        setEmbargo(embargo: Embargo): Try[DataverseResponse[Any]]
      
      
      No link yet, feature yet to be released in Dataverse 
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        setEmbargo(embargo: String): Try[DataverseResponse[Any]]
      
      
      No link yet, feature yet to be released in Dataverse 
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        setStorageDriver(driver: String): Try[DataverseResponse[DataMessage]]
      
      
      - See also
- driver the label of the storage driver to use 
 
-  def submitForReview(): Try[DataverseResponse[DataMessage]]
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        val
      
      
        targetBase: String
      
      
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        toString(): String
      
      
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      - Definition Classes
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        unblockKey: Option[String]
      
      
      - Attributes
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- DatasetApi → HttpSupport
 
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        def
      
      
        updateMetadata(metadataBlocks: MetadataBlocks): Try[DataverseResponse[DatasetVersion]]
      
      
      Creates or overwrites the current draft's metadata completely. Creates or overwrites the current draft's metadata completely. - metadataBlocks
- map from metadata block id to - MetadataBlock
 
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        def
      
      
        updateMetadata(s: String): Try[DataverseResponse[DatasetVersion]]
      
      
      Creates or overwrites the current draft's metadata completely. Creates or overwrites the current draft's metadata completely. - s
- JSON document containing the updated metadata blocks 
 
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        def
      
      
        updateMetadataFromJsonLd(s: String, replace: Boolean): Try[DataverseResponse[Any]]
      
      
      - s
- the JSONLD document 
- replace
- replace existing values if - trueonly add values otherwise
 
-  def view(version: Version = Version.LATEST): Try[DataverseResponse[DatasetVersion]]
-  def viewAllVersions(): Try[DataverseResponse[List[DatasetVersion]]]
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        def
      
      
        viewLatestVersion(): Try[DataverseResponse[DatasetLatestVersion]]
      
      
      Almost the same as DatasetApi#view except that viewLatestVersionreturns a JSON object that starts at the dataset level instead of the dataset version level.Almost the same as DatasetApi#view except that viewLatestVersionreturns a JSON object that starts at the dataset level instead of the dataset version level. The dataset level contains some fields, most of which are replicated at the dataset version level, however.
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