Occurrence record: Observations:107520907
Dataset
Data resource | iNaturalist Australia |
Institution code | Supplied institution code "iNaturalist" |
Collection | Supplied collection code "Observations" |
Catalog number | 107520907 |
Occurrence ID | https://www.inaturalist.org/observations/107520907 |
Record type |
Human observation
Supplied basis "HumanObservation" |
Identified by | sammydstecher |
Identified date | 2022-02-27T04:36:25Z |
Collector |
southaussie1
Supplied as "southaussie1" |
User | southaussie1 |
Life stage | adult |
License | CC-BY-NC 4.0 (Int) Supplied as http://creativecommons.org/licenses/by-nc/4.0/ |
Rights holder | southaussie1 |
Presence/Absence | PRESENT |
Identification verification status | needs_id |
Date identified | 2022-02-27T04:36:25Z |
Identification ID | 239326359 |
Event
Dataset / Survey name | iNaturalist observations |
Occurrence date |
2022-02-27
Supplied date "2022-02-27T09:46:48+10:30" |
Verbatim event date | Sun Feb 27 2022 09:46:48 GMT+1030 (GMT+10:30) |
Date precision | DAY |
Event time | 09:46:48+10:30 |
Taxonomy
Scientific name | Hydrophilus |
Identified to rank | genus |
Kingdom | Animalia |
Phylum | Arthropoda |
Class | Insecta |
Order | Coleoptera |
Family | Hydrophilidae |
Genus | Hydrophilus |
Name match metric | exactMatch |
Scientific name authorship | Geoffroy, 1762 |
Name parse type | SCIENTIFIC |
Geospatial
Country | Australia |
State or Territory | South Australia |
Latitude |
-30.568425 Supplied as: "-30.568425" |
Longitude |
136.89238 Supplied as: "136.89238" |
Datum | EPSG:4326 |
Verbatim locality | Burgoyne St, Roxby Downs, SA, AU |
Coordinate precision | Unknown |
Coordinate uncertainty (in metres) | 5.0 |
Terrestrial | true |
Biome | TERRESTRIAL |
Marine | false |
Country Code | AU |
Additional properties
captive | wild |
Data quality tests
Test name | Result |
Show/Hide 92 passed properties | |
Show/Hide 5 missing properties | |
Show/Hide 17 tests that have not been run |
Outlier information
This record has been detected as an outlier using the Reverse Jackknife algorithm for the following layers:
-
Moisture Index - highest quarter mean (Bio32) - CSIRO Ecosystem Sciences
Notes: Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams.
Scale: 0.01 degree (~1km)
More information on the data quality work being undertaken by the Atlas is available here: