The SAW-IT-Plus dataset contains 11,458 videos collected in the wild, and 22 homemade videos (snake category). Videos are arranged in 8 main categories of animals (frogs - 0, snakes - 1, lizards - 2, birds - 3, small mammals < 2kg - 4, medium or large mammals > 2kg - 5, spiders - 7 and scorpions - 8). Echidnas - originally category 6 – were merged with big mammals. Some videos of crustacea and other reptiles are available but not classified. Empty videos (7,896) were added to allow for further testing of the algorithm. They are separated in 3 categories (details in Table 1).

CSV files are available to detail the species for frogs, lizards, birds and small mammals for each video. Because the videos were mainly collected from real-world data; the number of videos for each animal category are unbalanced (Table 1).

This folder also contains training images used to automatically detect videos containing animals in our overall dataset. More information available in the ReadMe files.

The dataset was collected in Victoria, Australia, from February to October 2021 as part of the ERP22 (formerly ARI-PPD 05) grant.

Abstract: This mammal abundance trap data package comprises capture data for a specified duration of trapping nights (usually 3 night session) in the Simpson Desert, Western Queensland between 1990 and 2018. Captured mammal fauna were identified and recaptures during the same session were removed (i.e. individuals were only counted once). Date, site and grid number were recorded for all captures, and captured animals were also marked by a unique ear notch prior to their release to identify recaptures. The network program uses a core of 12 sites which are sampled every April-May. The trapping survey aims to quantitatively track long-term shifts in biodiversity and ecological processes in relation to key drivers, including unpredictable rainfall and droughts, fire, feral predators and grazing.

A synopsis of related data packages which have been collected as part of the Desert Ecology's full program is provided at http://doi.org/10.25911/5c13171d944fe

Sampling methods: The network program uses a core of 12 sites which are spaced at least 15 km apart, each comprising two 1-ha trapping grids, or plots which are spaced between 0.5-2 km apart. Thirty-six traps were arrayed in a grid covering 1 ha; each grid comprised 6 lines of 6 traps spaced 20 m apart. The top line of traps extended along the dune crest where consecutive numbering starts, and finished along the sixth line 100 m distant in the dune valley or ‘swale’. Traps on each grid were opened for 3 nights once per year and checked in the mornings and sometimes afternoons. The core of 12 sites are sampled every April-May, however in 2012 there was not a complete survey, and so there are only 2 (Field River South and Main Camp) sites represented in this table. Other elements of the plot network’s full program share the sampling structure and core sites/plot/grid configuration of the study design.

Study extent: The network program uses a core of 12 sites, sampled every April-May, however in 2012 there was not a complete survey - only 2 (Field River South and Main Camp) sites are represented in this table for that year. Note Dasycercus cristicauda should be D. blythi, however the former name is used in these data for consistency with previous data packages.

Project funding: Between 2012 and 2018 this project was part of the Long Term Ecological Research Network (LTERN). This work was supported by the Australian Government’s Terrestrial Ecosystems Research Network (www.tern.org.au) – an Australian research infrastructure facility established under the National Collaborative Research Infrastructure Strategy and Education Infrastructure Fund–Super Science Initiative through the Department of Industry, Innovation, Science, Research and Tertiary Education.

Biogeography of described families and genera of groundwater invertebrates in Queensland, Australia. : Explanation note: This dataset contains a supplementary table of described families and genera of groundwater invertebrates by higher rank in each subregion of Queensland, Australia.

Australia E-Commerce Transactions: AOV: Pets & Animals: Animals data was reported at 116.820 USD in 27 Dec 2024. This records an increase from the previous number of 101.624 USD for 26 Dec 2024. Australia E-Commerce Transactions: AOV: Pets & Animals: Animals data is updated daily, averaging 105.715 USD from Dec 2018 (Median) to 27 Dec 2024, with 418 observations. The data reached an all-time high of 839.770 USD in 25 Jul 2022 and a record low of 9.950 USD in 29 Dec 2019. Australia E-Commerce Transactions: AOV: Pets & Animals: Animals data remains active status in CEIC and is reported by Grips Intelligence Inc.. The data is categorized under Global Database’s Australia – Table AU.GI.EC: E-Commerce Transactions: by Category.

Australia Exports: Taiwan: Live Animals excl Seafoods data was reported at 115.000 AUD th in Nov 2024. This records an increase from the previous number of 57.930 AUD th for Oct 2024. Australia Exports: Taiwan: Live Animals excl Seafoods data is updated monthly, averaging 46.500 AUD th from Aug 2019 (Median) to Nov 2024, with 19 observations. The data reached an all-time high of 570.000 AUD th in Mar 2020 and a record low of 4.000 AUD th in Jan 2022. Australia Exports: Taiwan: Live Animals excl Seafoods data remains active status in CEIC and is reported by Department of Foreign Affairs and Trade. The data is categorized under Global Database’s Australia – Table AU.JA016: Exports: by Country and Commodity: by 3 Digits SITC.

Abstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied The data was extracted from the …Show full descriptionAbstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied The data was extracted from the NSW BioNet - Atlas system. Specifically the data table has been extracted from the Atlas of NSW Wildlife / threatened species profile module. This is the primary data that is displayed in the our TSp Web application http://www.environment.nsw.gov.au/threatenedspeciesapp/profile.aspx?id=10616. We intend to complete revise the way we create, manage and maintain K&P distributions over the next 12-18mths. Dataset History This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied: (1) Could you please confirm following data table joining method? [OBJECTID] in shape file "CMA_sub_regions" is joining with [objected] in sheet "ProfileDistribution" in "ProfileDistribution.xls" file. Then, [ProfileID] in sheet "ProfileDistribution" is joining with [ProfileID] in sheet "Profiles" in same "ProfileDistribution.xls" file. For example, for ACT (OBJECTID:73), I can find 39 ProfileIDs in ProfileDistribution using OBJECTID 73. If I want to see details of those 39 species or ECs, go to sheet "Profiles" based on these 39 ProfileIDs. (2) For sheet ProfileDistribution, What is the meaning of Occurrence and its content class such as K, P? 'K' (Known) indicates a confirmed record within any CMA sub-region. This data is stored as a distribution layer in the TS Profiles module of Bionet-Atlas. 'P' (Predicted) indicates that this threatened species or entity is likely to occur in a CMA sub-region . This is an expert opinion, managed in the TS Profiles module. We recommend you disregard all Predicted data. (3) For sheet Profiles . What is the meaning of ProfileType's class such as Other, Population, SpeciesCode? . What is the meaning of SpeciesType's class such as FA, FL, FU? "ProfileType" attributes the type of profiles: SpeciesCode = threatened species; Populations = threatened populations; Other = threatened ecological community, or Threatening process as Other. Simply ameans of systematicly separating off species and population distributions. "SpeciesType" is to indicate whether the threatened species or population profile is Flora (FL), Fauna (FA) or Fungi (FU). (4) For shape file "CMA_sub_regions" We are looking for a unique and meaningful name for the smallest spatial unit. Is [DISPLAY2] such a name? "DISPLAY2" that would be the shortest, unique name. (5) I only found Threatened Ecological Communities under field "GeneralType" in "Profiles". Could you please let me know where I can find the indicator for Threatened Species? Your interpretation of TEC indicator is correct. Threatened Species are indicated in Profiles by ProfileType = SpeciesCode. Dataset Citation NSW Office of Environment and Heritage (2013) Spatial Threatened Species and Communities (TESC) NSW 20131129. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/a6664894-1489-46d1-a6ca-16f9ab519a28.

Australia Imports: Japan: Live Animals excl Seafoods data was reported at 78.600 AUD th in Dec 2024. This records a decrease from the previous number of 138.645 AUD th for Jul 2024. Australia Imports: Japan: Live Animals excl Seafoods data is updated monthly, averaging 120.000 AUD th from Aug 2019 (Median) to Dec 2024, with 13 observations. The data reached an all-time high of 2,543.007 AUD th in Jan 2023 and a record low of 1.089 AUD th in Feb 2021. Australia Imports: Japan: Live Animals excl Seafoods data remains active status in CEIC and is reported by Department of Foreign Affairs and Trade. The data is categorized under Global Database’s Australia – Table AU.JA027: Imports: by Country and Commodity: by 3 Digits SITC.

Australia E-Commerce Transactions: Value: Pets & Animals: Horses data was reported at 160.558 USD in 06 Feb 2025. This records a decrease from the previous number of 194.245 USD for 05 Feb 2025. Australia E-Commerce Transactions: Value: Pets & Animals: Horses data is updated daily, averaging 227.481 USD from Apr 2019 (Median) to 06 Feb 2025, with 263 observations. The data reached an all-time high of 7,821.653 USD in 25 Sep 2023 and a record low of 2.435 USD in 10 Sep 2023. Australia E-Commerce Transactions: Value: Pets & Animals: Horses data remains active status in CEIC and is reported by Grips Intelligence Inc.. The data is categorized under Global Database’s Australia – Table AU.GI.EC: E-Commerce Transactions: by Category.

Coral Coast Marina Project - Vertebrate Fauna & Habitats Assessment. To be used as part of Coral Coast Marina Development's PER. A desk top study documenting the terrestrial vertebrate fauna and habitats.

This dataset is a record of sightings and strandings of cetaceans (mainly whales) at Macquarie Island. Results have been reported from 1968 to 1990 on an irregular basis. The related publication (ANARE Research Notes 91) discusses a number of species including southern right (Balaena glacialis), minke (Balaenoptera acutorostrata), strap-toothed (Mesoplodon layardii), sperm (Physter macrocephalus), longfin pilot (Globicephala melaene) and killer (Orcinus orca) whales. Quantitative data relating to orcas (from tables 1 and 2) are provided here, along with data related to other species extracted from the text.

The fields in this dataset are:

(Table 1) number_of_individuals_in_pod number_of_sightings

(Table 2) month number_of_sightings minimum_number_of_individuals maximum_number_of_individuals number_of_males number_of_females number_of_adults number_of_juveniles number_of_calves

(From the text) observation_date location_name longitude latitude common_name scientific_name_original scientific_name abundance notes

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied:

The data integrates best available information to delineate broad wildlife corridors along climatic gradients. The objective of the layer is to best delineate large-scale wildlife corridors that are significant for wildlife adaptation to the threatening processes of climate change. The work has been based on best available key habitat habitat, vegetation and corridors map layers and therefore represents areas of the landscape that contain high conservation values and high fauna corridor values.

Additional metadata

Dept of Environment and Climate Change (2007), Wildlife Corridors for Climate Change - Landscape Selection Process, Key altitudinal, Latitudinal and Coastal Corridors, An internal report, DECC, N.S.W.

Purpose

This project was commissioned by the Conservation Partnerships, Parks and Wildlife Division to identify land areas to develop a strategic approach to the establishment of protected areas on private and other public lands that complements the public reserve system and enhances the CAR design principles such as representation, adequacy and comprehensiveness. The strategy will be based on improving connectivity to address potential impact of climate change. The identification of wildlife corridors for climate change will contribute to the conservation and protection of landscape scale climate change corridors. The project has strong links to the recently announced "Alps to Atherton" (A to A) Climate Change Corridor and is essentially a finer scale interpretation of the A to A concept and function at a regional scale.

Dataset History

Lineage: Climate Change corridors was primarily delineated by using a visual assessment of the landscape based on the spatial mapping of moist fauna assemblage corridors as derived by the existing Key Habitats and Corridors for forest fauna (Scotts, D 2003). Scotts (2003) fauna assemblages that were grouped together to best represent general climatic corridors significant for wet, dry and coastal habitat assemblages. The initial design was then refined and analysed using habitat models (Scotts, 2003), habitat quality models (Scotts, 2003), vegetation mapping (Ecological 2005) and visual checking using SPOT5 (2005) satellite imagery. This stage of the project refined the boundaries of the broad corridors and assessed the significance of the corridors for forest fauna that were considered vulnerable to climate change effects. A process of expert review was carried out on the first output from the process. This was based on an analysis of: Analysis of Scotts, D 2003 spatial corridors Analysis of habitat models Analysis of vegetation patterns from the Forest Ecosystems vegetation map 2005. Recent fauna records from DEC wildlife atlas, liscenced records from State Forest, Australian Museum and Birds Australia within and around the corridors. Positional Accuracy: 10 m to 100 m Attribute Accuracy: The product is based on existing desk top data (best avaialbable). No groundtruthing of the attributes has been carried out. Much of the information is derived through analysis of existing data products and expert review of those products and decision making. Therefore it is likely that some area may be subject to review if adequate field checking were to be made. The data represents a regional scale assessment of landscapes in terms of their benefit to wildlife ecology and landscape connectivity. Logical Consistency: Logical Consistency checks were done at various scales using Arv View GIS for all linework and attributes. All values and information is presented consistently and to specified standards and groups. Completeness: The data layer is complete to the boundaries of the study area - NRCMA + HCRCMA regions. Equivalent to and slightly beyond the EPRD North-east Branch juristiction.

Dataset Citation

"NSW Department of Environment, Climate Change and Water" (2010) Climate Change Corridors (Moist Habitat) for North East NSW. Bioregional Assessment Source Dataset. Viewed 09 October 2018, http://data.bioregionalassessments.gov.au/dataset/f8445d2e-ec1f-4f5a-99cc-7f90d1f96103.

These data tables were scanned by Fiona Gleadow. The data relate to diving petrels (Pelecanoides) from Heard Island, and generally appear to be measurements of body parts (weight, wing, tail, beak, tarsus, toe) on males and females, as well as measurements of eggs (weight, length and width).

Australia Import: SITC: Value: Food & Live Animals (FL) data was reported at 2,028.000 AUD mn in Dec 2024. This records an increase from the previous number of 1,971.000 AUD mn for Nov 2024. Australia Import: SITC: Value: Food & Live Animals (FL) data is updated monthly, averaging 521.500 AUD mn from Jan 1988 (Median) to Dec 2024, with 444 observations. The data reached an all-time high of 2,104.000 AUD mn in Oct 2024 and a record low of 111.000 AUD mn in Sep 1988. Australia Import: SITC: Value: Food & Live Animals (FL) data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.JA023: Imports: by Commodity: by 1 and 2 Digits SITC.

This spatial layer contains summary flora and fauna biodiversity survey data derived from project specific surveys conducted for the Biodiversity Conservation in the Sheep Wheat Belt of NSW Project between November 2004 and February 2007. Included in the data are Endangered Ecological Communities (EECs) and threatened flora and fauna species. The primary focus of this component of the project was to survey "off reserve" distribution of Box-Gum Woodland (White Box - Yellow Box - Blakely's Red Gum) EEC within the Murray, Murrumbidgee, Lachlan, Central West, Hunter-Central Rivers, Namoi and Border Rivers-Gwydir Catchment Management Authority areas. The project area extended from the Victorian to Queensland borders and across the Western Slopes and western parts of the Tablelands of NSW. Consistent with project objectives the majority (502) of the 722 survey sites were in remnant patches of Box-Gum Woodland. The remaining sites were in other vegetation types, mostly remnant patches identified as Inland Grey Box Woodland EEC and Box-Gum Woodland ecotone. Several sites were in patches identified as Fuzzy Box Woodland EEC and McKies Stringybark / Blackbutt Open Forest EEC. All but around 30 of the 722 sites were located on private land and public land outside formal state conservation reserves. Attributes listed show distribution; survey method; date; tenure; estimated patch area; vegetation community type, strata dominant species; habitat structure; plant and bird species richness and threatened species number; qualitative condition and conservation value; biophysical and administrative boundaries. To meet requirements for landholder privacy site attributes are assigned to 5km x 5km (2500ha) polygons instead of points. Polygons containing survey sites are only displayed. Survey site point location coordinates are shown in the attributes table where the written consent of landholders / land managers has been received. Attributes values are derived from a separate accompanying spreadsheet database extracted from a larger relational survey database. NOTE: There are multiple records for some polygons (overlaps). This is not an error. VIS_ID 4091

Australia E-Commerce Transactions: Volume: Pets & Animals: Pet Food & Supplies data was reported at 1.000 Unit in 28 Feb 2025. This stayed constant from the previous number of 1.000 Unit for 27 Feb 2025. Australia E-Commerce Transactions: Volume: Pets & Animals: Pet Food & Supplies data is updated daily, averaging 2.000 Unit from Dec 2018 (Median) to 28 Feb 2025, with 1599 observations. The data reached an all-time high of 17.000 Unit in 19 May 2019 and a record low of 1.000 Unit in 28 Feb 2025. Australia E-Commerce Transactions: Volume: Pets & Animals: Pet Food & Supplies data remains active status in CEIC and is reported by Grips Intelligence Inc.. The data is categorized under Global Database’s Australia – Table AU.GI.EC: E-Commerce Transactions: by Category.

Australia Export: SITC: Value: FOB: Food & Live Animals (FL) data was reported at 5,964.000 AUD mn in Dec 2024. This records an increase from the previous number of 4,518.000 AUD mn for Nov 2024. Australia Export: SITC: Value: FOB: Food & Live Animals (FL) data is updated monthly, averaging 1,703.500 AUD mn from Jan 1988 (Median) to Dec 2024, with 444 observations. The data reached an all-time high of 5,964.000 AUD mn in Dec 2024 and a record low of 543.000 AUD mn in Jan 1989. Australia Export: SITC: Value: FOB: Food & Live Animals (FL) data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.JA012: Exports: by Commodity: by 1 and 2 Digits SITC. [COVID-19-IMPACT]

Australia Export Price Index: SITC: Food & Live Animals: Dairy Products & Eggs data was reported at 156.000 1989-1990=100 in Jun 2012. This records a decrease from the previous number of 158.300 1989-1990=100 for Mar 2012. Australia Export Price Index: SITC: Food & Live Animals: Dairy Products & Eggs data is updated quarterly, averaging 109.450 1989-1990=100 from Sep 1974 (Median) to Jun 2012, with 152 observations. The data reached an all-time high of 201.100 1989-1990=100 in Dec 2008 and a record low of 28.100 1989-1990=100 in Sep 1976. Australia Export Price Index: SITC: Food & Live Animals: Dairy Products & Eggs data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.I058: Export Price Index: SITC: 1989-90=100.

Australia Export Price Index: SITC: Food & Live Animals: Feeding Stuff For Animals Mot Including Unmilled Cereals data was reported at 150.800 1989-1990=100 in Jun 2012. This records an increase from the previous number of 147.500 1989-1990=100 for Mar 2012. Australia Export Price Index: SITC: Food & Live Animals: Feeding Stuff For Animals Mot Including Unmilled Cereals data is updated quarterly, averaging 106.100 1989-1990=100 from Sep 1974 (Median) to Jun 2012, with 152 observations. The data reached an all-time high of 165.100 1989-1990=100 in Dec 2008 and a record low of 36.100 1989-1990=100 in Jun 1976. Australia Export Price Index: SITC: Food & Live Animals: Feeding Stuff For Animals Mot Including Unmilled Cereals data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.I058: Export Price Index: SITC: 1989-90=100.

Australia Export Price Index: SITC: Food & Live Animals: Cereals & Cereal Preparations data was reported at 137.100 1989-1990=100 in Jun 2012. This records an increase from the previous number of 136.800 1989-1990=100 for Mar 2012. Australia Export Price Index: SITC: Food & Live Animals: Cereals & Cereal Preparations data is updated quarterly, averaging 85.800 1989-1990=100 from Sep 1974 (Median) to Jun 2012, with 152 observations. The data reached an all-time high of 204.000 1989-1990=100 in Dec 2008 and a record low of 48.100 1989-1990=100 in Mar 1978. Australia Export Price Index: SITC: Food & Live Animals: Cereals & Cereal Preparations data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.I058: Export Price Index: SITC: 1989-90=100.

Australia Exports: China: Live Animals excl Seafoods data was reported at 7,014.940 AUD th in Jan 2025. This records an increase from the previous number of 3,093.102 AUD th for Nov 2024. Australia Exports: China: Live Animals excl Seafoods data is updated monthly, averaging 23,435.886 AUD th from Jul 2019 (Median) to Jan 2025, with 59 observations. The data reached an all-time high of 74,121.567 AUD th in Dec 2019 and a record low of 823.605 AUD th in Aug 2024. Australia Exports: China: Live Animals excl Seafoods data remains active status in CEIC and is reported by Department of Foreign Affairs and Trade. The data is categorized under Global Database’s Australia – Table AU.JA016: Exports: by Country and Commodity: by 3 Digits SITC.