Data · dataset · 2018
Exsic: Convenience Functions for Botanists to Create Specimens Indices
Listed in International Potato Center
The tool allows creating simple specimen indices as found in taxonomic treatments based on a table of specimen records.
Description
An example file of tabulated speciment data is provided. In addition, four different exsiccatae styles are provided.
The naming of the columns in the specimen table follows largely the conventions used in the BRAHMS software package. Each specimen record must at least have content in the following nine fields: id, genus, species, collcite, number, colldate, country, majorarea, minorarea. If not present, the fields are added and filled with dummy values like ’s.d.’ for no date or ’Unknown country/area’.
Read the rest (3 more)
Highly recommended fields include: collector, addcoll. Optional fields include: locnotes, phenology, elevation, latitude, longitude, and dups The produced indices will sort countries and species alphabetically. Within a country records will be sorted alphabetically by ’majorarea’ (if present) and by collector and collecting nunber.
A web page in standard html format is created based on a template. The template may be changed and specified in most word processing software. The package provides one main function ’exsic’.
See the example in this section on how to access it.
Links
Where it is published
- Dataverse dataset page data.cipotato.org/dataset.xhtml?persistentId=doi%3A10.21223%2FP3%2FA4VQNM ↗
landing page · from data cipotato org
- DOI doi.org/10.21223/p3/a4vqnm ↗
DOI / persistent id · from data cipotato org
Catalogue records · 1
- Dataverse API data.cipotato.org/api/datasets/:persistentId/?persistentId=doi%3A10.21223%2FP3%2… ↗
metadata API · from data cipotato org
Topics
- Stated by source
- Agricultural Sciences · Computer and Information Science
- From keywords
- Life Sciences
- Inferred from text
- Tabular 65%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| International Potato Center | doi:10.21223/P3/A4VQNM | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:agricultural-sciences | source · data cipotato org | connector:data_cipotato_org@1.0.0 | /subjects |
| concepts[field].dataverse_subject:computer-and-information-science | source · data cipotato org | connector:data_cipotato_org@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · data cipotato org | connector:data_cipotato_org@1.0.0 | /subjects |
| concepts[modality].local:modality:tabular | enrichment · data cipotato org | keyword-concept-rules@1.0.0 | title+description (65%) |
| created_date | source · data cipotato org | connector:data_cipotato_org@1.0.0 | |
| description | source · data cipotato org | connector:data_cipotato_org@1.0.0 | /description |
| publication_date | source · data cipotato org | connector:data_cipotato_org@1.0.0 | |
| title | source · data cipotato org | connector:data_cipotato_org@1.0.0 | /name |
| updated_date | source · data cipotato org | connector:data_cipotato_org@1.0.0 | |
| version_label | source · data cipotato org | connector:data_cipotato_org@1.0.0 |