Revision 3919
Added by Aaron Marcuse-Kubitza over 12 years ago
VegBIEN.organisms.csv | ||
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9 | 9 |
SourceVoucher,/location/locationevent/taxonoccurrence/_if:[name=specimenreplicate_via]/else/voucher/*_id/specimenreplicate/catalognumber_dwc/_alt/2,"Brad: OMIT. This is the verbatim text, which includes both collectors name and collection number. I would use coll_number, below." |
10 | 10 |
coll_number,/location/locationevent/taxonoccurrence/_if:[name=specimenreplicate_via]/then/aggregateoccurrence:[@merge=1]/plantobservation:[@merge=1]/specimenreplicate/catalognumber_dwc/_alt/1,Brad: Incorrect. Map instead as for voucher_string |
11 | 11 |
SourceVoucher,/location/locationevent/taxonoccurrence/_if:[name=specimenreplicate_via]/then/aggregateoccurrence:[@merge=1]/plantobservation:[@merge=1]/specimenreplicate/catalognumber_dwc/_alt/2,"Brad: OMIT. This is the verbatim text, which includes both collectors name and collection number. I would use coll_number, below." |
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census_date,/location/locationevent/taxonoccurrence/aggregateoccurrence/collectiondate/_*/date, |
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census_date,/location/locationevent/taxonoccurrence/aggregateoccurrence/collectiondate/_*/date/_dateRangeStart/value/_*/date,
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13 | 13 |
NoInd,/location/locationevent/taxonoccurrence/aggregateoccurrence/count,"Brad: Incorrect for VegX. This is a count of number of indiiduals for an *aggregate* observation. For VegBank, I'm not sure. Not exactly the same as stemCount. An individual tree could have 3 stems but would still only count as 1. We need to check with Bob on this." |
14 | 14 |
cover_percent,/location/locationevent/taxonoccurrence/aggregateoccurrence/cover, |
15 | 15 |
census_no,"/location/locationevent/taxonoccurrence/aggregateoccurrence/definedvalue[*_id/userdefined[tablename=aggregateoccurrence,userdefinedname=censusNo]]:[@fkey=tablerecord_id]/definedvalue","Brad: Assigned by SALVIAS. 1 for first plot, then 2, 3, etc. I can't recall if we even have repeat censuses in SALVIAS. Probably not." |
Also available in: Unified diff
VegBIEN mappings: Wrapped dates in _date() and _dateRangeStart()/_dateRangeEnd(), to assist in importing date and date range values that PostgreSQL cannot parse. This will increase the import time, but hopefully also decrease the # of invalid values in the errors tables. (These functions can later be optimized to reduce the impact on import time.)