Occurrence record: Observations:274450489
Human observation
of
Coelastrea palauensis
(Yabe & Sugiyama, 1936)
recorded on 2025-04-24
Dataset
| Data resource | iNaturalist Australia |
| Institution code | Supplied institution code "iNaturalist" |
| Collection | Supplied collection code "Observations" |
| Catalog number | 274450489 |
| Occurrence ID | https://www.inaturalist.org/observations/274450489 |
| Record type |
Human observation
Supplied basis "HumanObservation" |
| Identified by | Anton Tạ |
| Collector | Alex Hoschke |
| User | Alex Hoschke |
| License | CC-BY-NC 4.0 (Int) Supplied as http://creativecommons.org/licenses/by-nc/4.0/ |
| Rights holder | Alex Hoschke |
| Presence/Absence | PRESENT |
| Information withheld | Coordinate uncertainty increased to 29146m to protect threatened taxon |
| Identification verification status | research |
| Date identified | 2025-04-27T21:00:12Z |
| Identification remarks | cf |
| Identification ID | 620725702 |
Event
| Dataset / Survey name | iNaturalist research-grade observations |
| Identification remarks | cf |
| Occurrence date |
2025-04-24
Supplied date "2025-04-23T14:38:00+08:00" |
| Verbatim event date | 2025/04/23 2:38 PM |
| End day of year | 113 |
| Date precision | DAY |
| Event time | 14:38:00+08:00 |
| Start day of year | 113 |
Taxonomy
| Scientific name | Coelastrea palauensis |
| Identified to rank | species |
| Kingdom | Animalia |
| Phylum | Cnidaria |
| Class | Anthozoa |
| Order | Scleractinia |
| Family | Merulinidae |
| Genus | Coelastrea |
| Species | Coelastrea palauensis |
| Name match metric | exactMatch |
| Scientific name authorship | (Yabe & Sugiyama, 1936) |
| Name parse type | SCIENTIFIC |
Geospatial
| Country | Australia |
| State or Territory | Western Australia |
| Latitude |
-32.059532 Supplied as: "-32.0595323265" |
| Longitude |
115.766552 Supplied as: "115.766551882" |
| Datum | EPSG:4326 |
| Verbatim locality | Western Australia, AU |
| Coordinate precision | Unknown |
| Coordinate uncertainty (in metres) | 29146.0 |
| Terrestrial | true |
| Biome | TERRESTRIAL |
| Marine | false |
| Country Code | AU |
Additional properties
| captive cultivated | wild |
| num identification agreements | 1 |
| num identification disagreements | 0 |
Data quality tests
| Test name | Result |
| Coordinate rounded | Warning |
| Multimedia date invalid | Warning |
| Show/Hide 98 passed properties | |
| Show/Hide 5 missing properties | |
| Show/Hide 19 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:
-
Radiation Seasonality (Bioclim 23) from 1976-2005 at 9s / 250m resolution - CSIRO Data Access Portal
Notes: Percentage of radiation variability, where largest percentages represent greater variability of radiation. Part of collection 9s climatology for continental Australia 1976-2005: BIOCLIM variable suite. Collection description A suite of 9s resolution BIOCLIM climate surfaces for the Australian continent. This collection represents a 30 year average centred on 1990 for the standard set of 35 BIOCLIM variables. Data are provided as zipped ESRI float grids: Binary float grids (*.flt) with associated ESRI header files (*.hdr) and projection files (*.prj). After extracting from the zip archive, these files can be imported into most GIS software packages, and can be used as other binary file formats by substituting the appropriate header file. Additionally a short methods summary is provided in the file 9sClimateMethodsSummary.pdf for further information, including a nomenclature for files. Start date 1976-01-01 End date 2005-12-31 Access The metadata and files (if any) are available to the public. Lineage BIOCLIM climate surfaces for the present were calculated in the ANUCLIM 6.1 (Xu and Hutchinson, 2011) 30 year average climate surfaces for Australia (1976-2005), with elevational lapse rate correction applied over the 9s GEODATA digital elevation model (Hutchinson et al , 2008).
Scale:
More information on the data quality work being undertaken by the Atlas is available here:
