Table: `ndb.speleothemdriptypes`#

Description#

No description available in database.

TODO: Expand this description with: - What data does this table store? - What is the business/research purpose? - How is this data collected or generated? - Are there any important caveats or data quality issues?

Table Structure#

Schema: ndb | Table Comment: No description available

Statistics#

Metric	Value
Row Count	7
Total Size	32 kB
Table Size	8192 bytes
Indexes Size	16 kB

Relationships#

Primary Key: speleothemdriptypeid

Foreign Keys:

speleothemdriptypepublicationid → publications.publicationid

Referenced By:

TODO: Document which tables reference this table (will be auto-detected in validation).

Data Dictionary#

Column	Type	Nullable	Default	Constraints
`speleothemdriptypeid`	integer	✗	`nextval('ndb.speleothemdrip...`	PRIMARY KEY
`speleothemdriptype`	character varying(50)	✓	`-`	-
`speleothemdriptypenotes`	text	✓	`-`	-
`speleothemdriptypepublicationid`	integer	✓	`-`	-

TODO: Review column descriptions and add comments where missing.

Usage Examples#

Example 1: Basic Selection#

-- Get recent records from speleothemdriptypes
SELECT *
FROM speleothemdriptypes
ORDER BY speleothemdriptypeid DESC
LIMIT 10;

Purpose: Retrieve the 10 most recent records from speleothemdriptypes

Example 2: Count Records#

-- Count total records
SELECT COUNT(*) as total_records
FROM speleothemdriptypes;

Purpose: Get the total number of records in speleothemdriptypes

Example 3: Join with publications#

-- Join with related table
SELECT 
    t1.*,
    t2.*
FROM speleothemdriptypes t1
INNER JOIN publications t2 
    ON t1.speleothemdriptypepublicationid = t2.publicationid
LIMIT 100;

Purpose: Retrieve speleothemdriptypes records with related data from publications

Example 4: Aggregate Data#

-- Aggregate records by speleothemdriptype
SELECT 
    speleothemdriptype,
    COUNT(*) as count
FROM speleothemdriptypes
GROUP BY speleothemdriptype
ORDER BY count DESC
LIMIT 10;

Purpose: Count records grouped by speleothemdriptype

TODO: Add more specific examples relevant to common research questions or operational tasks.

Data Quality Notes#

TODO: Document: - Known data quality issues - Validation rules - Expected data ranges - Update frequency and mechanisms - Any ETL processes that populate this table

Maintenance#

Data Owner: TODO: Assign owner
Update Frequency: TODO: Document frequency
Last Major Schema Change: TODO: Document when schema last changed

Table: ndb.speleothemdriptypes#