Record flora observational summary data within the N.T. Taxonomic and collection data for observed and collected plants. Includes presence/absence info, date, and location.

Point records of fauna observational data within the Northern Territory for Reptiles. Includes date, time and location of sighting. This is a subset of the Northern Territory Fauna Atlas.

Record fauna observational summary data within the N.T. Taxonomic and collection data for observed mammals, birds, reptiles, frogs. Includes presence/absence info, date, time, and location of sighting. Data collected after 1995 may also include counts.

Record fauna observational summary data within the N.T. Taxonomic and collection data for observed mammals, birds, reptiles, frogs. Includes presence/absence info, date, time, and location of sighting. Data collected after 1995 may also include counts. Records were downloaded from the Atlas of Living Australia (https://collections.ala.org.au/public/show/dr361). Taxa have been matched to the World Register of Marine Species. Non-marine records based on that register have been excluded from this version.

A web map was developed for Kakisa by collecting information on traditional land uses, culturally significant places, environmental information, and resource development locations.

All sighting records will be entered into the NT Fauna Atlas. Fauna Atlas records can be accessed via NR Maps and the Atlas of Living Australia. Personal datasets of fauna observation can also be submitted to the Fauna Atlas by email.

The Population Health Area (PHA) data include totals for the Greater Capital City Statistical Areas/ Rest of States/NT, States/ Territories and Australia; and for the Statistical Areas Level 3 and Level 4.

Attribution: Torrens University Australia

In this atlas, we present a series of views of the Canadian Arctic marine environment, from physical geography, to biology and ecology, and on to human patterns and administration.

Number of exons and average length of lncRNAs in different data sets.

Number of lncRNA predicted in at least 2 of the 4 datasets and final numbers after merging and removal of redundant sequences.

NT Threatened Species

This dataset depicts a national map of available ASS mapping and ASS qualification inferred from surrogate datasets. ASS mapping is classified with a nationally consistent legend that includes risk assessment criteria and correlations between Australian and International Soil Classification Systems.

Existing digital datasets of ASS mapping have been sourced from each coastal state and territory and combined into a single national dataset. Original state classifications have been translated to a common national classification system by the respective creators of the original data and other experts. This component of the Atlas is referred to as the “Coastal” ASS mapping. The remainder of Australia beyond the extent of state ASS mapping has been “backfilled” with a provisional ASS classification inferred from national and state soils, hydrography and landscape coverages. This component is referred to as the “Inland” ASS mapping.

For the state Coastal ASS mapping, the mapping scale of source data ranges from 1:10K aerial photography in SA to 1:250K vegetation mapping in WA and NT, with most East coast mapping being at the 1:100K scale. For the backfilled inferred Inland ASS mapping the base scale is 1:2.5 million (except Tas.) overlaid with 1:250k hydography. As at 06/08, the Tasmanian inland mapping has been re-modelled using superior soil classification map derived from 1:100k landscape unit mapping.

NOTE: This is composite data layer sourced from best available data with polygons depicted at varying scales and classified with varying levels of confidence. Great care must be taken when interpreting this map and particular attention paid to the “map scale” and confidence rating of a given polygon. It is stressed that polygons rated with Confidence = 4 are provisional classifications inferred from surrogate data with no on ground verification. Also some fields contain a “-“, denoting that a qualification was not able to be made, usually because a necessary component of source mapping coverage did not extend to the given polygon. Lineage: Coastal ASS component:

Existing state CASS mapping was received and processed to varying degrees to conform to the NatCASS national ASS classification system. Spatially, all datasets were reprojected from their original projections to geographic GDA94. Classification of state mapping polygons to the NatCASS classification system was as follows. In the case of SA, NSW, Qld and WA it was a matter of directly translating the original state ASS classifications to the NatCASS classifications. These translations were undertaken by the creators of the state data and other experts within the respective states.

Due to the more broad classifications of the original Vic and Tas ASS mapping, polygons for these two states were initially translated to a NatCASS classification group (eg Tidal, Non-Tidal) by the data custodians then subsequently differentiated further through intersecting with other layers. These included the 3 second SRTM DEM and North Coast Mangrove mapping GIS datasets. The former being used to differentiate within the Non-Tidal zones (ie classes Ae-j and Be-j) and the latter used to differentiate the Tidal zones (ie Ab-d, Bb-d).

Mapping of the Tidal-Zone classes was augmented for all states except SA and NSW with 1:100K Coastal Waterways Geomorphic Habitat Mapping (Geoscience Australia). This dataset was used to infer additional areas of subaqueous material in subtidal wetland (class Aa & Ba) and Intertidal Flats (class Ab & Bb).

Inland ASS component:

Provisional Inland ASS classifications are derived from National and (in the case of Tasmania) state soil classification coverages combined with 1:250K series 3 Hydrography and Multiresolution Valley Bottom Floor Index (MrVBF).

IUCN NT- VIC

The map title is Canada. Tactile map scale. 2.8 centimetres = 500 kilometres North arrow pointing to the top of the page. Provincial and Political borders, shown as dashed and solid lines. The Oceans and Lakes, shown with a wavy symbol to indicate water. Labels for Yukon Territory abbreviated to YT. Northwest Territories abbreviated NT. Nunavut abbreviated to NU. British Columbia abbreviated to BC. Saskatchewan abbreviated to SK. Alberta abbreviated to AB. Manitoba abbreviated to MB. Ontario abbreviated to ON. Quebec abbreviated to QC. Newfoundland and Labrador abbreviated to NF. Prince Edward Island abbreviated to PE. Nova Scotia abbreviated to NS. New Brunswick abbreviated to NB. Greenland United States of America abbreviated to USA. Alaska abbreviated to AK. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.

The ENCODE project revealed that ~70% of the human genome is transcribed. While only 1–2% of the RNAs encode for proteins, the rest are non-coding RNAs. Long non-coding RNAs (lncRNAs) form a diverse class of non-coding RNAs that are longer than 200nt. Emerging evidence indicates that lncRNAs play critical roles in various cellular processes including regulation of gene expression. LncRNAs show low levels of gene expression and sequence conservation, which make their computational identification in genomes difficult. In this study, more than two billion Illumina sequence reads were mapped to the genome reference using the TopHat and Cufflinks software. Transcripts shorter than 200nt, with more than 83–100 amino acids ORF, or with significant homologies to the NCBI nr-protein database were removed. In addition, a computational pipeline was used to filter the remaining transcripts based on a protein-coding-score test. Depending on the filtering stringency conditions, between 31,195 and 54,503 lncRNAs were identified, with only 421 matching known lncRNAs in other species. A digital gene expression atlas revealed 2,935 tissue-specific and 3,269 ubiquitously-expressed lncRNAs. This study annotates the lncRNA rainbow trout genome and provides a valuable resource for functional genomics research in salmonids.

An interactive online atlas that shares culture, history, traditional knowledge and land use of the Gwich'in through place names.

Aim

Investigation of realised niche contraction in declining species can help us understand how and where threats are being either mediated or tolerated across landscapes. It also provides insights into species’ sensitivity to environmental change that are unable to be identified through analysis of declines in range size or abundance alone. Here, we apply the recently proposed ‘niche reduction hypothesis’ to investigate relationships between trends in niche breadth and geographic distribution of declining species.

Location

Northern Australia

Methods

We compare and contrast contemporary and historical datasets to examine the relationship between extent of occurrence (EOO) and realised niche hypervolume, and investigate changes in species’ utilisation of environmental space through time via generalised linear modelling and bootstrapping of historical values. We also use the ‘Maxent’ algorithm to create and stack contemporary and historical ecological niche models (ENMs) and identify...

AbstractThis dataset is a subset of The Emergency Management Facilities dataset and contains Other Emergency Management Facilities (including AFP and ACT ESA sites) The Emergency Management Facilities dataset presents the spatial locations, in point format, of all known police stations, ambulance stations, metropolitan fire facilities, rural fire facilities, SES facilities and other (AFP and ACT ESA sites) within Australia. Currency Date modified: February 2023 Modification frequency: As needed Data extent Spatial extent North: -9° South: -44° East: 160° West: 92° Source information The primary information sources used to produce the Emergency Management Facilities Dataset was acquired from each Emergency Management State and Territory agency. Access to the required spatial data and attributes for each facility was coordinated with the support of Emergency Management Spatial Information Network Australia (EMSINA). Australian Capital Territory

ACT Emergency Services Agency Australian Federal Police

New South Wales

Emergency Information Coordination Unit Australian Federal Police

Northern Territory

NT Police Fire & Emergency Services Australian Federal Police

Queensland

Qld Government Data Directory Australian Federal Police

South Australia

SA Country Fire Service SA State Emergency Service SA Government Data Directory SA Police Australian Federal Police

Tasmania

Department of Natural Resources and Environment Australian Federal Police

Victoria

Vic Government Data Directory Australian Federal Police

Western Australia

WA Government Data Directory St John Ambulance WA Australian Federal Police

Geoscience Australia catalog entry: Emergency Management Facilities Database Lineage statement Using the previous Emergency Management Facilities datasets (2018) acquired from State and Territory agencies, the data was uploaded into an ArcSDE environment using Feature Manipulation Engine (FME). The process included the extraction of the themed features, and the translation of the data into a schema created by the Built Environment & Exposure Section, National Location Information Branch, Geoscience Australia (GA). In 2023 further FME processing was completed where the dataset was address matched using the original address provided and compared with the Geocoded National Address File (G-NAF) data. If no address match occurred GIS specialists attempted to find a relevant corresponding G-NAF address to join to, where possible. Data dictionary

Attribute name Description

OBJECTID Automatically generated system ID

FEATURETYPE A singled feature type “Emergency Facility” is the collective name of the different facility subtypes identified in the CLASS field.

DESCRIPTION Brief description of the feature type

CLASS The feature type subtypes: Ambulance Station Emergency Management Facility Metro Fire Facility Police Station Rural/Country Fire Service Facility SES Facility

FACILITY_NAME The station/facility name of each individual feature

FACILITY_OPERATIONALSTATUS A description of the facility status Operational (functioning as an Emergency Services facility, does not indicate opening hours or if the facility is staffed) Non-operational (no longer operational as an Emergency Services facility)

FACILITY_ADDRESS The address of this feature, as supplied by the data source

ABS_SUBURB The ABS suburb where this feature is located

FACILITY_STATE The state where this feature is located, as supplied by the data source

ABS_POSTCODE The ABS postcode where this feature is located

FACILITY_ATTRIBUTE_DATE Date of the source material used.

FACILITY_DATE Date of the source material used to capture this feature

FACILITY_SPATIAL_CONFIDENCE Confidence rating of the accuracy of the feature’s spatial location (5 high – 1 low)

FACILITY_REVISED The date the feature was last revised

COMMENT A free text field for adding general comments about this feature to external users

FACILITY_LAT A numerical way to measure the North South position of the feature

FACILITY_LONG A numerical way to measure the East West position of the feature

VALIDATED Additional confirmation of the features accuracy

GNAF_BUILDING_NAME The GNAF station/facility name of each individual feature

GNAF_ADDRESS_DETAIL_PID The unique ID defined within the G-NAF address data

GNAF_FORMATTED_ADDRESS The GNAF address where this feature is located

GNAF_CONFIDENCE 2 - This reflects that all three contributors have supplied an identical address. 1 - This reflects that a match has been achieved between only two contributors. 0 - This reflects that a single contributor holds this address and no match has been achieved with either or the other two contributors. -1 - No match has been achieved but an entry exists

GNAF_POSTCODE The GNAF postcode where this feature is located

GNAF_SUBURB The GNAF suburb where this feature is located

DISTANCE_TO_GNAF Distance of the GNAF from the Emergency management location point in metres

GNAF_LAT A numerical way to measure the North South position of the GNAF feature

GNAF_LONG A numerical way to measure the East West position of the GNAF feature

Contact Geoscience Australia, clientservices@ga.gov.au

NT and WA lizards and snakes

Abstract This dataset is a subset of The Emergency Management Facilities dataset and contains Metro Fire facilities. The Emergency Management Facilities dataset presents the spatial locations, in point format, of all known police stations, ambulance stations, metropolitan fire facilities, rural fire facilities, SES facilities and other (AFP and ACT ESA sites) within Australia. Currency Date modified: February 2023 Modification frequency: As needed Data extent Spatial extent North: -9° South: -44° East: 160° West: 92° Source information The primary information sources used to produce the Emergency Management Facilities Dataset was acquired from each Emergency Management State and Territory agency. Access to the required spatial data and attributes for each facility was coordinated with the support of Emergency Management Spatial Information Network Australia (EMSINA). Australian Capital Territory

ACT Emergency Services Agency Australian Federal Police

New South Wales

Emergency Information Coordination Unit Australian Federal Police

Northern Territory

NT Police Fire & Emergency Services Australian Federal Police

Queensland

Qld Government Data Directory Australian Federal Police

South Australia

SA Country Fire Service SA State Emergency Service SA Government Data Directory SA Police Australian Federal Police

Tasmania

Department of Natural Resources and Environment Australian Federal Police

Victoria

Vic Government Data Directory Australian Federal Police

Western Australia

WA Government Data Directory St John Ambulance WA Australian Federal Police

Geoscience Australia catalog entry: Emergency Management Facilities Database Lineage statement Using the previous Emergency Management Facilities datasets (2018) acquired from State and Territory agencies, the data was uploaded into an ArcSDE environment using Feature Manipulation Engine (FME). The process included the extraction of the themed features, and the translation of the data into a schema created by the Built Environment & Exposure Section, National Location Information Branch, Geoscience Australia (GA). In 2023 further FME processing was completed where the dataset was address matched using the original address provided and compared with the Geocoded National Address File (G-NAF) data. If no address match occurred GIS specialists attempted to find a relevant corresponding G-NAF address to join to, where possible. Data dictionary

Attribute name Description

OBJECTID Automatically generated system ID

FEATURETYPE A singled feature type “Emergency Facility” is the collective name of the different facility subtypes identified in the CLASS field.

DESCRIPTION Brief description of the feature type

CLASS The feature type subtypes: Ambulance Station Emergency Management Facility Metro Fire Facility Police Station Rural/Country Fire Service Facility SES Facility

FACILITY_NAME The station/facility name of each individual feature

FACILITY_OPERATIONALSTATUS A description of the facility status Operational (functioning as an Emergency Services facility, does not indicate opening hours or if the facility is staffed) Non-operational (no longer operational as an Emergency Services facility)

FACILITY_ADDRESS The address of this feature, as supplied by the data source

ABS_SUBURB The ABS suburb where this feature is located

FACILITY_STATE The state where this feature is located, as supplied by the data source

ABS_POSTCODE The ABS postcode where this feature is located

FACILITY_ATTRIBUTE_DATE Date of the source material used.

FACILITY_DATE Date of the source material used to capture this feature

FACILITY_SPATIAL_CONFIDENCE Confidence rating of the accuracy of the feature’s spatial location (5 high – 1 low)

FACILITY_REVISED The date the feature was last revised

COMMENT A free text field for adding general comments about this feature to external users

FACILITY_LAT A numerical way to measure the North South position of the feature

FACILITY_LONG A numerical way to measure the East West position of the feature

VALIDATED Additional confirmation of the features accuracy

GNAF_BUILDING_NAME The GNAF station/facility name of each individual feature

GNAF_ADDRESS_DETAIL_PID The unique ID defined within the G-NAF address data

GNAF_FORMATTED_ADDRESS The GNAF address where this feature is located

GNAF_CONFIDENCE 2 - This reflects that all three contributors have supplied an identical address. 1 - This reflects that a match has been achieved between only two contributors. 0 - This reflects that a single contributor holds this address and no match has been achieved with either or the other two contributors. -1 - No match has been achieved but an entry exists

GNAF_POSTCODE The GNAF postcode where this feature is located

GNAF_SUBURB The GNAF suburb where this feature is located

DISTANCE_TO_GNAF Distance of the GNAF from the Emergency management location point in metres

GNAF_LAT A numerical way to measure the North South position of the GNAF feature

GNAF_LONG A numerical way to measure the East West position of the GNAF feature

Contact Geoscience Australia, clientservices@ga.gov.au