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If your raw column headers are Darwin Core terms verbatim then you can skip this step! Next time you plan data
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If your column headers are Darwin Core terms verbatim then you can skip this step! Next time you plan data
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collection use the standard DwC term headers!
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@@ -108,7 +115,7 @@ Find the matching Darwin Core term for these column headers.
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3.[`minimumDepthInMeters`](https://dwc.tdwg.org/terms/#dwc:minimumDepthInMeters) and [`maximumDepthInMeters`](https://dwc.tdwg.org/terms/#dwc:maximumDepthInMeters)
5.[`organismQuantity`](https://dwc.tdwg.org/terms/#dwc:organismQuantity) and [`organismQuantityType`](https://dwc.tdwg.org/terms/#dwc:organismQuantityType)
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6. This one is tricky- it's two terms combined and will need to be split. [`indvidualCount`](https://dwc.tdwg.org/terms/#dwc:individualCount) and [`sex`](https://dwc.tdwg.org/terms/#dwc:sex)
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6. This one is tricky- it's two terms combined and will need to be split. [`individualCount`](https://dwc.tdwg.org/terms/#dwc:individualCount) and [`sex`](https://dwc.tdwg.org/terms/#dwc:sex)
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@@ -190,4 +197,4 @@ Compare your data files to the table(s) above to devise a plan to crosswalk your
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- Implementing Darwin Core makes data FAIR-er and means becoming part of a community of people working together to
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understand species no matter where they work or are based.
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