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The Animal10N Test Set consists of 10,000 images of animals from 10 different classes. The images are labeled with the animal's class.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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## Overview
Animal Detection Using YOLOv8 is a dataset for object detection tasks - it contains Animal Detection Using YOLOv8 annotations for 5,244 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [Public Domain license](https://creativecommons.org/licenses/Public Domain).
In conjunction with net primary production studies, consumer and faunal studies are conducted at or near NPP sites using pitfall traps. We use live traps, not employing ethylene glycol or other killing/preservative agents, with traps checked once a week at the minimum. Sampling-with-replacement is used with the lizards. Variables measured include species, sex, recapture status, snout-vent length, total length, weight, and whether tail is broken or whole.
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Data includes medium and large animal feeding operation sites as defined by the U.S. Environmental Protection Agency (EPA). The EPA defines a medium site as a facility with a capacity of 300-999 animal units and a large site as a facility with a capacity of 1,000 or more animal units. Values provided for each animal species type equates to animal units, not the number of animals per head. “Animal unit” means a unit of measurement based upon the product of multiplying the number of animals of each category by a special equivalency factor. For example, swine weighing more than 55 pounds have an AU factor of 0.4, a herd of 750 head multiplied by 0.4 equals 300 animal units. Animal units are defined in IAC 567 Chapter 65. More information regarding calculating animal unit capacity can be found at https://www.iowadnr.gov/Portals/idnr/uploads/afo/fs_mmp.pdf. Note - facilities below 500 animal units in the state of Iowa have no permitting or manure management plan requirements. Therefore, facilities with a capacity of 300-499 shown in this data likely will not have a construction permit or any type of manure management plan.This geodatabase contains 3 feature classes: animal_feeding_operations, AFO_open_feedlots, and AFO_confinements. XML metadata can be found in the gdb folder.
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In March 2023, the animal fats price stood at $5,781 per ton (CIF, Germany), falling by -4.1% against the previous month.
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Since 2007, the Integrated Marine Observing System’s Animal Tracking Facility (formerly known as the Australian Animal Tracking And Monitoring System (AATAMS)) has established a permanent array of acoustic receivers around Australia to detect the movements of tagged marine animals in coastal waters. Simultaneously, the Animal Tracking Facility developed a centralised national database (https://animaltracking.aodn.org.au/) to encourage collaborative research across the Australian research community and provide unprecedented opportunities to monitor broad-scale animal movements. The resulting dataset comprises observations of tagged animals in Australian waters collected by IMOS infrastructure as well as receivers operated by independent research projects and organisations. This dataset constitutes a valuable resource facilitating meta-analysis of animal movement, distributions, and habitat use, and is important for relating species distribution shifts with environmental covariates.
This dataset comprises all available (2007 – ongoing) quality-controlled animal detections collected across the collaborative, continental IMOS network for a range of aquatic species (fish, sharks, rays, reptiles, and mammals). Here, raw animal detections collated via the IMOS Australian Animal Acoustic Telemetry Database have been quality-controlled as per Hoenner et al. (2018). This dataset is updated on a six-monthly basis.
Note - There is a static snapshot of the database (up until 2017) (http://dx.doi.org/10.4225/69/5979810a7dd6f), and this has been documented in a Scientific Data Publication (Hoenner et al. 2018).
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The number of people travelling to Antarctica is growing, with much of the recent increase in visitor numbers attributable to an expansion in commercial tourism (Enzenbacher 1992; 1994). Most visitors to the region seek direct interactions with the wildlife and so visit breeding groups of seals and seabirds (Stonehouse 1965; Muller-Schwarze 1984). Invariably, this involves travelling to breeding sites by helicopter, inflatable motorised boat (e.g. zodiac) or over-snow vehicle, then making relatively close approaches on foot to photograph and observe the animals. At present, there is information to suggest that visitation can have a negative effect on some Antarctic wildlife, causing changes to behaviour, physiology and breeding success (Culik et al. 1989; Woehler et al. 1994, Giese 1996; Giese 1998, Giese and Riddle 1999). However, the responses of Weddell seals (Leptonychotes weddellii) to human activity have never been systematically examined. As a result, any guidelines to control human activity around these animals are based either on opportunistic observations of seal response, and/or assumptions as to the level of disturbance seals are experiencing.
Therefore, the primary objective of the research is to measure the responses of Weddell seals to various human disturbance stimuli. In so doing, the research aims to make quality information available for the development of a comprehensive and scientifically based set of guidelines for managing interactions between people and Antarctic seals.
The research will adopt an experimental approach, whereby seals are experimentally exposed to particular types and intensities of human activity while their responses are objectively quantified. As far as possible, experiments are designed to replicate actual disturbances that Weddell seals are presently exposed to in Antarctica. As such, the responses of cow/pup pairs to approaches by pedestrians, over-snow vehicles and helicopters will be examined. In particular, experiments will investigate how approach distance (or altitude), approach speed, time of day, weather conditions and the time of the breeding season, influence the responses of Weddell Seals to these disturbance stimuli. Disturbance responses will be quantified by measuring the behaviour and heart rate of individual seals and the haul-out behaviour of entire groups of animals. Experiments will also be conducted to quantify the sound generated by vehicle operations in Antarctica to help determine whether anthropogenic noise effects vocal communication among Weddell seal, as indicated by changes in their calling rates.
Also see the metadata record entitled: Behavioural responses of Weddell seals to human activity.
At this stage most of the analysis is in progress and therefore it is not possible to provide complete data sets. These will be submitted upon the completion of the work. The attached word document summarises the experiments that have been completed during the three field seasons to date (up to the end of the 2002/2003 season), which included, the experiment type, location and sample size.
The two excel data sheets 'Experimental recording details' provide information on the video recordings that were made during the 2001/2002 and the 2002/2003 summers. These details state the experimental procedure, the details of the experimental, the time, date etc. They include Hi8 video camera recordings of Weddell seal behaviour and DAT recordings of vocalisations.
Biological data collected during the 2002/2003 summer include: Collected 10 sample of blood (up to 50 ml each) Collected 6 samples of urine Collected 11 samples of fur Collected 9 samples of blubber Collected 6 samples of faecal swabs (from the ice or thermometer) Conducted a post mortem on a recently deceased seal and collected organ and tissue samples.
These samples are being analysed by investigators in ASAC 1144. When results are available they will documented in either ASAC 1148 or 1144.
The fields in this dataset are:
Date Time Tape Number Counter Number Camera Number Cow ID New ID Event Respiration Rate Heart Rate Where Approached Position of Pup Distance of Closest Pair Distance of Tide Crack Location Wind Direction Cloud Cover Temperature Wind Speed Conductivity Salinity pH
Further data has been added to the archive for up to the end of the 2006. These include data files, plus scanned field notes taken during the project. Finally, video tapes relating to the project have also been stored in the Australian Antarctic Division's multimedia library.
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Animal Transportation Market is expected to grow at a high CAGR during the forecast period 2024-2031 | DataM Intelligence
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1616 Global exporters importers export import shipment records of Dried animal gut with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.
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Georgia Exports of products of animal origin to Poland was US$1 during 2013, according to the United Nations COMTRADE database on international trade. Georgia Exports of products of animal origin to Poland - data, historical chart and statistics - was last updated on March of 2025.
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Forecast: Animal Food Sales in the US 2024 - 2028 Discover more data with ReportLinker!
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42712 Active Global Animal Feed buyers list and Global Animal Feed importers directory compiled from actual Global import shipments of Animal Feed.
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For the third consecutive year, the United States recorded decline in overseas shipments of animal and pet feed, which decreased by -13.6% to 1.1M tons in 2023.
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Animal Nutrition Organic Acids Market is expected to grow at a high CAGR during the forecast period 2023-2030 | DataM Intelligence
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Global Animal Tracking Market reached USD 2.1 billion in 2022 and is projected to witness lucrative growth by reaching up to USD 4.9 billion by 2030
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124 Active Global Live Animal buyers list and Global Live Animal importers directory compiled from actual Global import shipments of Live Animal.
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Forecast: Animal Fats Processing in Kenya 2024 - 2028 Discover more data with ReportLinker!
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Companion Animal Health Market is expected to grow at a high CAGR during the forecast period 2024-2031 | DataM Intelligence
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Forecast: Animal Fats Import Volume in the US 2022 - 2026 Discover more data with ReportLinker!
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Forecast: Animal Fats Production in Europe 2022 - 2026 Discover more data with ReportLinker!
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The Animal10N Test Set consists of 10,000 images of animals from 10 different classes. The images are labeled with the animal's class.