{"help": "https://data.wprdc.org/fi/api/3/action/help_show?name=datastore_search", "success": true, "result": {"include_next_page": false, "include_total": true, "limit": 100, "records_format": "objects", "resource_id": "ad3e0b3a-ef0c-4b47-a585-e378017af0ec", "records": [{"_id":1,"Order":null,"field_name":null,"type":null,"description":null,"example":null,"notes":null},{"_id":2,"Order":"Order","field_name":"field_name","type":"type","description":"description","example":"example","notes":"notes"},{"_id":3,"Order":"1","field_name":"LBS_TAG","type":"text","description":"General Item Count","example":"LBs_1000001","notes":null},{"_id":4,"Order":"2","field_name":"OBJ_ACRES","type":"float","description":"Total number of acres","example":"262.510839","notes":null},{"_id":5,"Order":"3","field_name":"MODIFER_IO","type":"text","description":"This column represents a metadata grouping of 'In' versus 'Out' of a final 'Modifier' region applied to the GreenPrint overlay databases","example":"InsideALTmodifiers","notes":"This is an intersectional analysis and this is a note"},{"_id":6,"Order":"4","field_name":"VENN_COUNT","type":"text","description":"The Venn circles are Biodiversity Functions, Character Functions, and Water Functions","example":"3VennOverlaps","notes":null},{"_id":7,"Order":"5","field_name":"VENN_OLAP","type":"text","description":"Biodiversity, Chararcter and Water (B,C,W)","example":"bcw","notes":null},{"_id":8,"Order":"6","field_name":"VENN_ORDER","type":"text","description":"Order of Importance","example":"1bcw","notes":null},{"_id":9,"Order":"7","field_name":"ALT_GROUP","type":"text","description":"This column represents a metadata grouping of 'In' versus 'Out' of a final 'Modifier' region applied to the GreenPrint overlay databases that also summarize how many (1, 2, or 3) and which Venn buckets (b, c, and/or w) are contained in each resultant feature.","example":"InMod-3VennOverlaps-bcw","notes":null},{"_id":10,"Order":"8","field_name":"BIO_SET","type":"text","description":"Biodiversity Criteria","example":"Biodiversity_Woodland_ContiguousToRiparian","notes":null},{"_id":11,"Order":"9","field_name":"BIO_ID","type":"int","description":"a uniqueID referencing the previous Bio overlay feature ID.  The vector processing method tracked unique IDs through each overlay combing process back to original unique source data IDs.","example":"78666","notes":null},{"_id":12,"Order":"10","field_name":"CHAR_SET","type":"text","description":"Character Criteria","example":"Character_Woodland_Within100-Rd20k+EyeBallsPerDay","notes":null},{"_id":13,"Order":"11","field_name":"CHAR_ID","type":"int","description":"a uniqueID referencing the previous Char overlay feature ID.  The vector processing method tracked unique IDs through each overlay combing process back to original unique source data IDs.","example":"119527","notes":null},{"_id":14,"Order":"12","field_name":"WATER_SET","type":"text","description":"Water Criteria","example":"Water_Woodland_ContiguousToRiparian","notes":null},{"_id":15,"Order":"13","field_name":"WATER_ID","type":"int","description":"a uniqueID referencing the previous Water overlay feature ID.  The vector processing method tracked unique IDs through each overlay combing process back to original unique source data IDs.","example":"128545","notes":null},{"_id":16,"Order":"14","field_name":"LBS_NOTE","type":"text","description":"comment from processor","example":"LBs spatial processing of existing data","notes":"This is an intersectional analysis and this is a note"}], "fields": [{"id": "_id", "type": "int"}, {"id": "Order", "type": "text"}, {"id": "field_name", "type": "text"}, {"id": "type", "type": "text"}, {"id": "description", "type": "text"}, {"id": "example", "type": "text"}, {"id": "notes", "type": "text"}], "total": 16}}