| orid |
| Base Object | origin_error |
| Attribute Name | orid |
| ColumnName | orid |
| Logical Rolename | |
| RoleName | |
| Definition | Origin identification. Each origin is assigned a unique positive integer which identifies it in the database. The orid is used to identify one of the many hypotheses of the actual location of the event |
| Note | Range: orid > 0 |
| sxx |
| Base Object | origin_error |
| Attribute Name | sxx |
| ColumnName | sxx |
| Logical Rolename | |
| RoleName | |
| Definition | Elements of the covariance matrix for the location defined by orid. The covariance matrix is symmetric (and positive definite) so that sxy = syx, etc., (x, y, z, t) refer to latitude, longitude, depth and origin time, respectively. These attributes (together with sdobs, ndef and dattype) provide all the information necessary to construct the K-dimensional (K=2, 3, 4) confidence ellipse or ellipsoids at any confidence limit desired |
| Note | Range: sxx > 0.0 Units: sxx - Kilometers squared |
| syy |
| Base Object | origin_error |
| Attribute Name | syy |
| ColumnName | syy |
| Logical Rolename | |
| RoleName | |
| Definition | Elements of the covariance matrix for the location defined by orid. The covariance matrix is symmetric (and positive definite) so that sxy = syx, etc., (x, y, z, t) refer to latitude, longitude, depth and origin time, respectively. These attributes (together with sdobs, ndef and dattype) provide all the information necessary to construct the K-dimensional (K=2, 3, 4) confidence ellipse or ellipsoids at any confidence limit desired |
| Note | Range: syy > 0.0 Units: syy - Kilometers squared |
| szz |
| Base Object | origin_error |
| Attribute Name | szz |
| ColumnName | szz |
| Logical Rolename | |
| RoleName | |
| Definition | Elements of the covariance matrix for the location defined by orid. The covariance matrix is symmetric (and positive definite) so that sxy = syx, etc., (x, y, z, t) refer to latitude, longitude, depth and origin time, respectively. These attributes (together with sdobs, ndef and dattype) provide all the information necessary to construct the K-dimensional (K=2, 3, 4) confidence ellipse or ellipsoids at any confidence limit desired |
| Note | Range: szz > 0.0 Units: szz - Kilometers squared |
| stt |
| Base Object | origin_error |
| Attribute Name | stt |
| ColumnName | stt |
| Logical Rolename | |
| RoleName | |
| Definition | Elements of the covariance matrix for the location defined by orid. The covariance matrix is symmetric (and positive definite) so that sxy = syx, etc., (x, y, z, t) refer to latitude, longitude, depth and origin time, respectively. These attributes (together with sdobs, ndef and dattype) provide all the information necessary to construct the K-dimensional (K=2, 3, 4) confidence ellipse or ellipsoids at any confidence limit desired |
| Note | Range: stt > 0.0 Units: stt - Seconds squared |
| sxy |
| Base Object | origin_error |
| Attribute Name | sxy |
| ColumnName | sxy |
| Logical Rolename | |
| RoleName | |
| Definition | Elements of the covariance matrix for the location defined by orid. The covariance matrix is symmetric (and positive definite) so that sxy = syx, etc., (x, y, z, t) refer to latitude, longitude, depth and origin time, respectively. These attributes (together with sdobs, ndef and dattype) provide all the information necessary to construct the K-dimensional (K=2, 3, 4) confidence ellipse or ellipsoids at any confidence limit desired |
| Note | Range: sxy > 0.0 Units: sxy - Kilometers squared |
| sxz |
| Base Object | origin_error |
| Attribute Name | sxz |
| ColumnName | sxz |
| Logical Rolename | |
| RoleName | |
| Definition | Elements of the covariance matrix for the location defined by orid. The covariance matrix is symmetric (and positive definite) so that sxy = syx, etc., (x, y, z, t) refer to latitude, longitude, depth and origin time, respectively. These attributes (together with sdobs, ndef and dattype) provide all the information necessary to construct the K-dimensional (K=2, 3, 4) confidence ellipse or ellipsoids at any confidence limit desired |
| Note | Range: sxz > 0.0 Units: sxz - Kilometers squared |
| syz |
| Base Object | origin_error |
| Attribute Name | syz |
| ColumnName | syz |
| Logical Rolename | |
| RoleName | |
| Definition | Elements of the covariance matrix for the location defined by orid. The covariance matrix is symmetric (and positive definite) so that sxy = syx, etc., (x, y, z, t) refer to latitude, longitude, depth and origin time, respectively. These attributes (together with sdobs, ndef and dattype) provide all the information necessary to construct the K-dimensional (K=2, 3, 4) confidence ellipse or ellipsoids at any confidence limit desired |
| Note | Range: syz > 0.0 Units: syz - Kilometers squared |
| stx |
| Base Object | origin_error |
| Attribute Name | stx |
| ColumnName | stx |
| Logical Rolename | |
| RoleName | |
| Definition | Elements of the covariance matrix for the location defined by orid. The covariance matrix is symmetric (and positive definite) so that sxy = syx, etc., (x, y, z, t) refer to latitude, longitude, depth and origin time, respectively. These attributes (together with sdobs, ndef and dattype) provide all the information necessary to construct the K-dimensional (K=2, 3, 4) confidence ellipse or ellipsoids at any confidence limit desired |
| Note | Range: stx > 0.0 Units: stx - Kilometers*second |
| sty |
| Base Object | origin_error |
| Attribute Name | sty |
| ColumnName | sty |
| Logical Rolename | |
| RoleName | |
| Definition | Elements of the covariance matrix for the location defined by orid. The covariance matrix is symmetric (and positive definite) so that sxy = syx, etc., (x, y, z, t) refer to latitude, longitude, depth and origin time, respectively. These attributes (together with sdobs, ndef and dattype) provide all the information necessary to construct the K-dimensional (K=2, 3, 4) confidence ellipse or ellipsoids at any confidence limit desired |
| Note | Range: sty > 0.0 Units: sty - Kilometers*second |
| stz |
| Base Object | origin_error |
| Attribute Name | stz |
| ColumnName | stz |
| Logical Rolename | |
| RoleName | |
| Definition | Elements of the covariance matrix for the location defined by orid. The covariance matrix is symmetric (and positive definite) so that sxy = syx, etc., (x, y, z, t) refer to latitude, longitude, depth and origin time, respectively. These attributes (together with sdobs, ndef and dattype) provide all the information necessary to construct the K-dimensional (K=2, 3, 4) confidence ellipse or ellipsoids at any confidence limit desired |
| Note | Range: stz > 0.0 Units: stz - Kilometers*second |
| azismall |
| Base Object | origin_error |
| Attribute Name | azismall |
| ColumnName | azismall |
| Logical Rolename | |
| RoleName | |
| Definition | Azimuth of smallest principal error |
| Note | Range: 0.0 <= azismall <= 360.0 Units: Degrees |
| dipsmall |
| Base Object | origin_error |
| Attribute Name | dipsmall |
| ColumnName | dipsmall |
| Logical Rolename | |
| RoleName | |
| Definition | Dip of smallest principal error |
| Note | Range: -90.0 <= dipsmall <= 90.0 Units: Degrees |
| magsmall |
| Base Object | origin_error |
| Attribute Name | magsmall |
| ColumnName | magsmall |
| Logical Rolename | |
| RoleName | |
| Definition | Magnitude of smallest principal error |
| Note | Range: magsmall >= 0.0 Units: Kilometers |
| aziinter |
| Base Object | origin_error |
| Attribute Name | aziinter |
| ColumnName | aziinter |
| Logical Rolename | |
| RoleName | |
| Definition | Azimuth of intermediate principal error |
| Note | Range: 0.0 <= aziinter <= 360.0 Units: Degrees |
| dipinter |
| Base Object | origin_error |
| Attribute Name | dipinter |
| ColumnName | dipinter |
| Logical Rolename | |
| RoleName | |
| Definition | Dip of intermediate principal error |
| Note | Range: -90.0 <= dipinter <= 90.0 Units: Degrees |
| maginter |
| Base Object | origin_error |
| Attribute Name | maginter |
| ColumnName | maginter |
| Logical Rolename | |
| RoleName | |
| Definition | Magnitude of intermediate principal error |
| Note | Range: maginter >= 0.0 Units: Kilometers |
| azilarge |
| Base Object | origin_error |
| Attribute Name | azilarge |
| ColumnName | azilarge |
| Logical Rolename | |
| RoleName | |
| Definition | Azimuth of largest principal error |
| Note | Range: 0.0 <= azilarge <= 360.0 Units: Degrees |
| diplarge |
| Base Object | origin_error |
| Attribute Name | diplarge |
| ColumnName | diplarge |
| Logical Rolename | |
| RoleName | |
| Definition | Dip of largest principal error |
| Note | Range: -90.0 <= diplarge <= 90.0 Units: Degrees |
| maglarge |
| Base Object | origin_error |
| Attribute Name | maglarge |
| ColumnName | maglarge |
| Logical Rolename | |
| RoleName | |
| Definition | Magnitude of largest principal error |
| Note | Range: maglarge >= 0.0 Units: Kilometers |
| lddate |
| Base Object | origin_error |
| Attribute Name | lddate |
| ColumnName | lddate |
| Logical Rolename | |
| RoleName | |
| Definition | Load date. Date and time that the record was created, in Oracle date datatype |
| Note | Range: Any valid date between January 01, 4712 BC and January 01, 4712 AD Units: YYYY/MM/DD HH24:MI:SS |