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Occurrence record: Malacology:C.366338

Preserved specimen of Conus (Floraconus) papilliferus Sowerby, 1834 | Papal Cone recorded on 1944-02
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Dataset

Data partner OZCAM (Online Zoological Collections of Australian Museums) Provider
Data resource Australian Museum provider for OZCAM
Institution code Australian Museum
Supplied institution code "AM"
Collection Australian Museum Malacology Collection
Supplied collection code "Malacology"
Catalog number C.366338
Other catalog numbers ["ecatalogue.irn:10295405","urn:catalog:AM:Malacology:C.366338"]
Occurrence ID urn:lsid:ozcam.taxonomy.org.au:AM:Malacology:C.366338
Record type Preserved specimen
Supplied basis "PreservedSpecimen"
Identified by Loch, Mr I W  
License CC-BY 3.0 (Au)
Presence/Absence PRESENT
Date identified 1982
Identification remarks ecatalogue.IdeConfidence: "Curatorial"; ecatalogue.IdeSpecimenQuality: "Good"; ecatalogue.IdeComments: "id extracted from texpress reg db. entered by: megan 09/Sep/1999";

Event

Event ID urn:australianmuseum.net.au:Events:10003815
Identification remarks ecatalogue.IdeConfidence: "Curatorial"; ecatalogue.IdeSpecimenQuality: "Good"; ecatalogue.IdeComments: "id extracted from texpress reg db. entered by: megan 09/Sep/1999";
Occurrence date [date not supplied] Year: 1944, Month: 2, Day:
Supplied date "1944-02"
Date precision MONTH

Taxonomy

Scientific name Conus (Floraconus) papilliferus
Supplied scientific name "Conus papilliferus Sowerby, 1834"
Identified to rank species
Common name Papal Cone
Kingdom Animalia
Phylum Mollusca
Class Gastropoda
Order Hypsogastropoda
Family Conidae
Genus Conus
Species Conus papilliferus
Name match metric exactMatch
Accepted name Conus papilliferus Sowerby, 1834
Scientific name authorship Sowerby, 1834
Name parse type SCIENTIFIC
Name according to Sowerby, 1834

Geospatial

Country Australia
State or Territory New South Wales
Latitude -36.22332
Supplied as: "-36.22332"
Longitude 150.133
Supplied as: "150.133"
Datum EPSG:4326
Verbatim locality Narooma
Location remarks ecatalogue.LocCollectionEventLocal: "[MAL# 18768 C] Australia, New South Wales, Narooma (36° 13' 24" S, 150° 08' 00" E) /02/1944 - /02/1944, Accession";
Coordinate precision 1e-05
Coordinate uncertainty (in metres) 1000.0
Terrestrial true
Verbatim latitude 36° 13' 24" S
Biome TERRESTRIAL
Marine false
Country Code AU
Verbatim longitude 150° 8' 0" E

Additional properties

dcterms:modified 2015/3/19
dcterms:type PhysicalObject
dcterms modified 2015/3/19
dcterms type PhysicalObject
verbatim uncertainty 100m-1km

User flagged issues 

    Referenced in publications

    Publication: Curated Plant and Invertebrate Data for Bushfire Modelling

    DOI https://doi.org/10.25919/tm4m-5a46

    This data asset contains observations of individual plants and animals (“occurrences”) sourced from the Atlas of Living Australia. Data on vascular plants are based on the following paper: Godfree et al. (2021) Implications of the 2019-2020 Megafires for the Biogeography and Conservation of Australian Vegetation. Nature Communications 12: 1023 https://doi.org/10.1038/s41467-021-21266-5 Data on invertebrates are from the following report: Marsh et al. (2021) Threatened species hub report: Assessment of the impacts of the 2019-20 wildfires on southern and eastern Australia on invertebrate species. NESP Threatened Species Recovery Hub Project 8.3.1 Final report, Brisbane. Both studies were performed to understand the impacts of the Australian “Black Summer” (2019-20) fires on the taxonomic group in question. Consequently, this aggregated dataset is designed to support off-the-shelf bushfire impact modelling, and to provide useful context for associated biodiversity conservation work. A total of 896 species of vascular plants and 44,146 invertebrate species. The combined data asset was produced by the Science & Decision Support Team at the Atlas of living Australia (ALA) in collaboration with the authors of the original data sets. This was done as part of an Australian Research Data Commons (ARDC) bushfire data challenges project. The data contained in this deposition has been cleaned by researchers and taxonomists to ensure it is of high quality. Therefore, compared to data returned by the ALA, the unique record ID’s may return a different species or location than is denoted in this data set: these records have potentially been changed by the authors of the data to reflect what they believe is correct.

    Version of the data used in the publication
    Scientific nameConus (Floraconus) papilliferus
    Decimal latitude-36.22332
    Decimal longitude150.133
    Year1944

    View all data referenced by this publication

    Data quality tests

    Test name Result
    Geodetic datum assumed WGS84 Warning
    Show/Hide 93 passed properties
    Show/Hide 7 missing properties
    Show/Hide 23 tests that have not been run

    Additional political boundaries information

    Area Management
    Atlas of Life in the Coastal Wilderness Atlas of Life in the Coastal Wilderness
    GER Kosciuszko to Coast GER Kosciuszko to Coast
    GER National Corridor GER National Corridor
    Great Eastern Ranges Initiative GER Great Eastern Ranges Initiative
    IBRA (Interim Biogeographic Regionalisation for Australia (IBRA) Version 7 (Regions) South East Corner
    IBRA (Interim Biogeographic Regionalisation for Australia (IBRA) Version 7 (Subregions), contextual (polygon) Bateman
    K2C Management Regions Coastal
    NRM Regions 2010 Southern Rivers
    NRM Regions 2017 South East NSW
    Area management
    National Landcare Program Management Units 2018 South East NSW
    Biodiversity
    IBRA 6 Regions South East Corner
    IBRA 7 Regions South East Corner
    IBRA 7 Subregions Bateman
    Hydrology
    Drainage Divisions Level 1 South East Coast (NSW)
    Drainage Divisions Level 2 TUROSS RIVER
    Marine
    States including coastal waters New South Wales (including Coastal Waters)
    Political
    ASGS Australian States and Territories New South Wales
    Australian States and Territories New South Wales
    Local Government Areas 2011 Eurobodalla (A)
    Local Government Areas 2012 deprecated Eurobodalla
    Local Government Areas PSMA 2018 EUROBODALLA SHIRE COUNCIL
    NSW Local Land Services Regions South East
    PSMA ABS Census Indigenous Language Speakers by Area - I01B (2016) 23
    PSMA ABS Census Selected Person Characteristics by Indigenous Status by Area - I01A (2016) 2088
    PSMA ABS Greater Capital City Statistical Areas (2016) REST OF NSW
    PSMA ABS SA2 Statistical Areas (2016) NAROOMA - BERMAGUI
    PSMA ABS SA3 Statistical Areas (2016) SOUTH COAST
    PSMA ABS SA4 Statistical Areas (2016) CAPITAL REGION
    PSMA Commonwealth Electoral Boundaries (2018) EDEN-MONARO
    PSMA Indigenous Areas (2016) EUROBODALLA
    PSMA Indigenous Locations (2016) NAROOMA
    PSMA Indigenous Regions (2016) SOUTH-EASTERN NSW
    PSMA Remoteness Areas (2016) Outer Regional Australia
    PSMA State Electoral Boundaries (2018) LEGISLATIVE COUNCIL
    PSMA States (2016) NEW SOUTH WALES
    World Country Boundaries Australia
    Social
    Local Government Areas 2023 Eurobodalla
    Statistical Areas Level 1 10104102702
    Vegetation
    Australia's Indigenous forest estate (2013) v2.0 Non-Indigenous, Non forest
    Forests of Australia (2013) v2.0 Non Forest
    Forests of Australia 2018B Non forest
    NVIS 4.1 Major Vegetation Groups Cleared, non-native vegetation, buildings
    NVIS 4.1 Major Vegetation Subgroups Cleared, non-native vegetation, buildings
    Tenure of Australia's forests (2013) v2.0 Private Freehold
    Vegetation types - native Eucalypt open forests
    Vegetation types - present Eucalyptus open forest

    Environmental sampling for this location

    Biodiversity
    Occurrence Density 22116.0 frequency
    Species Richness 1928.0 frequency
    Climate
    Precipitation - annual (Bio12) 920.0 mm
    Precipitation - coldest quarter (Bio19) 169.0 mm
    Precipitation - driest period (Bio14) 9.0 mm
    Precipitation - driest quarter (Bio17) 162.0 mm
    Precipitation - seasonality (Bio15) 22.0 mm
    Precipitation - warmest quarter (Bio18) 274.0 mm
    Precipitation - wettest period (Bio13) 26.0 mm
    Precipitation - wettest quarter (Bio16) 289.0 mm
    Radiation - annual mean (Bio20) 15.8 MJ/m2/day
    Radiation - seasonality (Bio23) 38.0
    Radiation - warmest quarter (Bio26) 21.4 MJ/m2/day
    Temperature - annual mean (Bio01) 15.9 degrees C
    Temperature - annual range (Bio07) 18.8 degrees C
    Temperature - coldest period min (Bio06) 5.7 degrees C
    Temperature - coldest quarter mean (Bio11) 11.8 degrees C
    Temperature - diurnal range mean (Bio02) 9.3 degrees C
    Temperature - driest quarter mean (Bio09) 12.1 degrees C
    Temperature - isothermality (Bio03) 0.49 %
    Temperature - seasonality (Bio04) 1.11
    Temperature - warmest period max (Bio05) 24.5 degrees C
    Temperature - warmest quarter (Bio10) 20.0 degrees C
    Temperature - wettest quarter mean (Bio08) 19.7 degrees C
    WorldClim 2.1: Precipitation - annual 870.0 mm
    WorldClim 2.1: Precipitation - coldest quarter 161.0 mm
    WorldClim 2.1: Precipitation - driest month 37.0 mm
    WorldClim 2.1: Precipitation - driest quarter 128.0 mm
    WorldClim 2.1: Precipitation - seasonality 29.166002 mm
    WorldClim 2.1: Precipitation - warmest quarter 288.0 mm
    WorldClim 2.1: Precipitation - wettest month 107.0 mm
    WorldClim 2.1: Precipitation - wettest quarter 288.0 mm
    WorldClim 2.1: Temperature - annual mean 15.8875 °C
    WorldClim 2.1: Temperature - annual range 17.300001 °C
    WorldClim 2.1: Temperature - coldest month min 6.9 °C
    WorldClim 2.1: Temperature - coldest quarter mean 11.583334 °C
    WorldClim 2.1: Temperature - diurnal range mean 7.975 °C
    WorldClim 2.1: Temperature - driest quarter mean 12.116667 °C
    WorldClim 2.1: Temperature - isothermality 46.098263 %
    WorldClim 2.1: Temperature - seasonality 333.62424
    WorldClim 2.1: Temperature - warmest month max 24.2 °C
    WorldClim 2.1: Temperature - warmest quarter mean 19.900002 °C
    WorldClim 2.1: Temperature - wettest quarter mean 19.900002 °C
    WorldClim: Temperature - isothermality 47.0 %
    Substrate
    Moisture Index - annual mean (Bio28) 0.64
    Moisture Index - highest quarter mean (Bio32) 0.89