Camera trap pilot 2 was a test of the difference in species detection and data accumulation between a Snyper Commander camera with a regular lens (52°) and one with a wide lens (100°). The cameras were deployed at 30 cm above the ground within the herbivore exclosure Zeeveld Noord in the Amsterdam Water Supply Dunes from 14th of August 2021 to 24th of September 2021. During this pilot, a solar panel failure caused the cameras to stop recording data from the 24th of August 2021 to the 6th of September (14 days). During annotation, only days in which both cameras were operational were annotated. This led to a total of 1,113 images over 28 days from the two cameras. A detailed description of the dataset can be found in a data paper published in the journal Data in Brief (Evans et al. 2024, https://doi.org/10.1016/j.dib.2024.110544).
The data in this resource has been published as a Data Package.
This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.
A tabela abaixo mostra apenas versões de recursos que são publicamente acessíveis.
dune ecosystem;
mammals;
exclosure;
camera trap;
biodiversity monitoring;
Natura 2000;
herbivore;
wildlife camera
| Nome |
CC-BY-4.0 |
| Scope |
data |
| Nome |
CC-BY-4.0 |
| Scope |
media |
| Coordenadas |
[[4.52, 52.35583], [4.520242, 52.35604]] |
| Coordinate precision |
- |
| Taxon id |
https://www.checklistbank.org/dataset/COL2023/taxon/FRJJ |
| Taxon id reference |
|
| Scientific name |
Apodemus sylvaticus |
| Taxon rank |
species |
| Vernacular names |
wood mouse [eng], bosmuis [nld] |
| Taxon id |
https://www.checklistbank.org/dataset/COL2023/taxon/YNHJ |
| Taxon id reference |
|
| Scientific name |
Corvus corone |
| Taxon rank |
species |
| Vernacular names |
carrion crow [eng], zwarte kraai [nld] |
| Taxon id |
https://www.checklistbank.org/dataset/COL2023/taxon/6MB3T |
| Taxon id reference |
|
| Scientific name |
Homo sapiens |
| Taxon rank |
species |
| Vernacular names |
human [eng], mens [nld] |
| Taxon id |
https://www.checklistbank.org/dataset/COL2023/taxon/74ZBP |
| Taxon id reference |
|
| Scientific name |
Oryctolagus cuniculus |
| Taxon rank |
species |
| Vernacular names |
European rabbit [eng], Europees konijn [nld] |
| Taxon id |
https://www.checklistbank.org/dataset/COL2023/taxon/5BSG3 |
| Taxon id reference |
|
| Scientific name |
Vulpes vulpes |
| Taxon rank |
species |
| Vernacular names |
red fox [eng], vos [nld] |
| Start / Start |
2021-08-14 / 2021-09-23 |
| Título |
Data from three camera trapping pilots in the Amsterdam Water Supply Dunes of the Netherlands |
| Descrição |
Three pilot studies were conducted to test the autonomous deployment of wireless 4G wildlife cameras with solar panels and automated data transmission in the coastal dunes of the Amsterdam Water Supply Dunes, The Netherlands. Monitoring and management of grazing mammals such as the European rabbit (Oryctolagus cuniculus) and the European fallow deer (Dama dama) is of key interest in this nature reserve, as they slow down the rate of natural succession and alter plant species composition and vegetation structure through grazing and digging. These grazers as well as predators such as the red fox (Vulpes vulpes) have typically been monitored using traditional survey methods such as transect and areal counts, but only once or twice a year. The study was aimed to test the feasibility and methodology of running long-term autonomous monitoring networks with wildlife cameras. This involved the testing of power usage, data transmission, and data accumulation, and the robustness of cameras to herbivore damage. Furthermore, the pilots specifically tested how the detection of focal species (rabbits, deer, foxes) differs with deployment heights, camera lens types and the placement in different habitats. The pilot also provides labelled images for the development of deep learning algorithms to automatically identify species.
Work was carried out as part of the development of the monitoring demonstration sites of a large-scale research infrastructure project ARISE. |
| Path |
https://www.arise-biodiversity.nl/teammonitoringdemonstration |
| Sampling design |
opportunistic |
| Capture method |
[activityDetection] |
| Observation level |
[event] |
| Individual animal |
false |
Evans J, Zilber R, Kissling W D (2024). Camera trap data recorded during pilot studies in the Amsterdamse Waterleidingduinen - pilot 2. Version 2. University of Amsterdam / IBED. Camtrap DP dataset. https://ipt.nlbif.nl/resource?r=awd_pilot2&v=2
Evans, J.C., Zilber, R., & Kissling, W.D. (2024). Data from three camera trapping pilots in the Amsterdam Water Supply Dunes of the Netherlands. Data in Brief, 54, 110544. https://doi.org/10.1016/j.dib.2024.110544