Occurrence record: NEM:MPEG.NEM 000072
Dataset
Data partner | Museu Paraense Emilio Goeldi |
Data resource | Museu Paraense Emílio Goeldi - Nematoda Collection |
institutionCode |
Museu Paraense Emílio Goeldi
Supplied institution code "MPEG" |
collectionCode |
Coleção Invertebrados Não - artrópodos do Museu Goeldi
Supplied collection code "NEM" |
catalogNumber | MPEG.NEM 000072 |
occurrenceID | MPEG.NEM 000072 |
basisOfRecord | Preserved specimen |
preparations | ETOH - 1 |
Collector |
Conga
Supplied as "Conga, David Marcial Fernandez" |
typeStatus | Voucher |
License | CC-BY-NC 4.0 (Int) Supplied as Creative Commons Attribution Non Commercial (CC-BY-NC) 4.0 License. |
Rightsholder | Museu Paraense Emilio Goeldi (MPEG) |
accessRights | Creative Commons Attribution Non Commercial (CC-BY-NC) 4.0 License. |
occurrenceStatus | present |
Abcd identification qualifier | Not provided |
Event
Occurrence date | 1905-07-02 |
Date precision | Day |
Taxonomy
scientificName |
Dipetalonema
Supplied scientific name "Dipetalonema gracile" |
taxonRank | genus |
Kingdom | Animalia |
Phylum | Nematoda |
class | Secernentea |
Order | Spirurida |
Family | Onchocercidae |
Genus | Dipetalonema |
Species | Dipetalonema gracile |
Taxonomic issue | No issues |
Name match metric |
Higher taxon match
The match is based on the higher level classification. |
Name parse type | SCIENTIFIC |
Geospatial
higherGeography | Peru |
Country | Peru |
locality | Rio Yavari-Loreto |
decimalLatitude | -4.3313889 |
decimalLongitude | -71.9591667 |
geodeticDatum | EPSG:4326 |
coordinatePrecision | Unknown |
continent | América do Sul |
Data quality tests
Test name | Result |
Type status not recognised | Failed |
Occurrence status assumed to be present | Warning |
Name not in national checklists | Warning |
Geodetic datum assumed WGS84 | Warning |
Show/Hide 26 passed properties | |
Show/Hide 12 missing properties | |
Show/Hide 44 tests that have not been run |
Additional political boundaries information
WWF | Ecorregiões terrestres mundiais (2001) | Southwest Amazon moist forests |