This project aims for the detection of grey partridge (Perdix perdix) and other rare animal species in the partridge conservation project area using camera traps. The project area spans the five southern municipalities of the SIAS region of Luxembourg.
Data have been standardized to Darwin Core using the camtrapdp R package and only include observations (and associated media) of animals. Excluded are records that document blank or unclassified media, vehicles and observations of humans.
","type":"OCCURRENCE","hostingOrganizationKey":"75642970-f855-11dd-8235-b8a03c50a862","hostingOrganizationTitle":"National Museum of Natural History, Luxembourg","hostingCountry":"LU","publishingCountry":"LU","publishingOrganizationKey":"75642970-f855-11dd-8235-b8a03c50a862","publishingOrganizationTitle":"National Museum of Natural History, Luxembourg","endorsingNodeKey":"b0ccbf42-26b3-412e-b38a-339889154d77","license":"http://creativecommons.org/publicdomain/zero/1.0/legalcode","decades":[1960,1970,1980,1990,2000,2010,2020],"keywords":["Occurrence","Observation"],"recordCount":32052},{"key":"77972fac-09bc-460b-a0d6-34b87b1b4b72","title":"Monitoreo de biodiversidad utilizando cámaras trampa en la Estructura Ecológica Principal de Santiago de Cali","doi":"10.15468/r87c59","description":"Proyecto para fortalecer la gestión integral de la Biodiversidad en Colombia a través del monitoreo de fauna con cámaras trampa, en el marco de la iniciativa denominada “RED OTUS”, en los predios de conservación y centros integrados de la ruralidad, dentro de la Estructura Ecológica Principal de Santiago de Cali.
Data have been standardized to Darwin Core using the camtrapdp R package and only include observations (and associated media) of animals. Excluded are records that document blank or unclassified media, vehicles and observations of humans.
","type":"OCCURRENCE","hostingOrganizationKey":"c4f66525-4d36-4c18-82ac-98e088f54db4","hostingOrganizationTitle":"Sistema de Información sobre Biodiversidad de Colombia - SiB Colombia","hostingCountry":"CO","publishingCountry":"CO","publishingOrganizationKey":"d0e4e899-b154-4f85-adfb-fdbf7c8853bc","publishingOrganizationTitle":"Departamento Administrativo de Gestión del Medio Ambiente","endorsingNodeKey":"7e865cba-7c46-417b-ade5-97f2cf5b7be0","license":"http://creativecommons.org/licenses/by/4.0/legalcode","decades":[2020],"keywords":["Occurrence","Observation","Mamíferos, aves, cámaras trampa"],"recordCount":0},{"key":"f0963153-077b-4676-a337-891a06fab52a","title":"Monitoreo de mamíferos medianos y grandes en el área de influencia Forest First Colombia","doi":"10.15468/bbbnwv","description":"Se comparó la diversidad de mamíferos terrestres en tres tipos de cobertura (plantaciones forestales, bosques de galería y sabanas naturales) en Puerto Carreño (Vichada). Para ello, se realizó un muestreo con 64 cámaras trampa durante ocho meses (agosto-2023 a marzo-2024), generando un esfuerzo de muestreo de 5.840 días/cámara y 1087 registros independientes de 23 especies (bosque: 775, plantación: 295, sabana: 17).
Data have been standardized to Darwin Core using the camtrapdp R package and only include observations (and associated media) of animals. Excluded are records that document blank or unclassified media, vehicles and observations of humans.
","type":"OCCURRENCE","hostingOrganizationKey":"c4f66525-4d36-4c18-82ac-98e088f54db4","hostingOrganizationTitle":"Sistema de Información sobre Biodiversidad de Colombia - SiB Colombia","hostingCountry":"CO","publishingCountry":"CO","publishingOrganizationKey":"4eb145f4-b1b0-4b94-8edc-e814fd77a4e8","publishingOrganizationTitle":"Fundación Panthera Colombia","endorsingNodeKey":"7e865cba-7c46-417b-ade5-97f2cf5b7be0","license":"http://creativecommons.org/licenses/by-nc/4.0/legalcode","decades":[2020],"keywords":["Occurrence","Observation","Altillanura, Orinoquia, biodiversidad, uso de hábitat, manejo forestal, Felinos"],"recordCount":3926},{"key":"13101e81-bc62-4553-9fd9-c5c8eb3fb9ab","title":"Camera trap based small rodent monitoring: Data from Norwegian alpine tundra","doi":"10.15468/avmbdq","description":"The dataset consists of classified images from small mammal camera traps. The images are processed using the semi-automatic workflow established by Böhner et al. (2023). We use a pre-trained machine learning algorithm to automatically classify all images. Images classified with low confidence or from species/species groups that are challenging are manually annotated. Abundance indices can be estimated following temporal and spatial aggregation of detection events following Kleiven et al. 2023.
Data have been standardized to Darwin Core using the camtrapdp R package and only include observations (and associated media) of animals. Excluded are records that document blank or unclassified media, vehicles and observations of humans.
","type":"OCCURRENCE","hostingOrganizationKey":"46fec380-8e1d-11dd-8679-b8a03c50a862","hostingOrganizationTitle":"Norwegian Institute for Nature Research","hostingCountry":"NO","publishingCountry":"NO","publishingOrganizationKey":"46fec380-8e1d-11dd-8679-b8a03c50a862","publishingOrganizationTitle":"Norwegian Institute for Nature Research","endorsingNodeKey":"4f829580-180d-46a9-9c87-ed8ec959b545","networkKeys":["379a0de5-f377-4661-9a30-33dd844e7b9a"],"license":"http://creativecommons.org/licenses/by/4.0/legalcode","decades":[2020],"keywords":["Occurrence","Observation","lemming","vole","small rodent","alpine tundra","camera trap"],"recordCount":306997},{"key":"fc3f505a-05d8-4b3e-908c-8880fc9899f7","title":"Luxembourg national monitoring (valerian) 2023-2025","doi":"10.15468/6upqee","description":"This dataset contains the Luxembourg occurence records from 2023 to 2025 of the national monitoring using hair traps with valerian, in forest, targeting Felis silvestris silvestris, Martes martes and Mustela putorius. Selection of 72 1km-squares with >10% of forest coverage using a stratified random sampling. 3 camera traps on game routes, 1 camera trap on Polecat habitats (pond and/or river bank and/or forest edge), from January to June, control every 2 weeks for hair collecting and systematic hair trap replacement (execpt for the "Polecat" site). 3-year cycles (surveys undertaken every years on 1/3 of the squares, in rotation). https://www.list.lu/en/environment/project/forest-mammals/
Data have been standardized to Darwin Core using the camtrapdp R package and only include observations (and associated media) of animals. Excluded are records that document blank or unclassified media, vehicles and observations of humans.
","type":"OCCURRENCE","hostingOrganizationKey":"75642970-f855-11dd-8235-b8a03c50a862","hostingOrganizationTitle":"National Museum of Natural History, Luxembourg","hostingCountry":"LU","publishingCountry":"LU","publishingOrganizationKey":"75642970-f855-11dd-8235-b8a03c50a862","publishingOrganizationTitle":"National Museum of Natural History, Luxembourg","endorsingNodeKey":"b0ccbf42-26b3-412e-b38a-339889154d77","license":"http://creativecommons.org/publicdomain/zero/1.0/legalcode","decades":[2020],"keywords":["Occurrence","Observation"],"recordCount":41482},{"key":"273ee7a0-4b59-4350-b220-3282b533ecde","title":"Luxembourg national monitoring (valerian) 2020-2022","doi":"10.15468/v2zchq","description":"This dataset contains the Luxembourg occurence records from 2020 to 2022 of the national monitoring using hair traps with valerian, in forest, targeting Felis silvestris silvestris, Martes martes and Mustela putorius. Selection of 72 1km-squares with >10% of forest coverage using a stratified random sampling. 3 camera traps on game routes, 1 camera trap on Polecat habitats (pond and/or river bank and/or forest edge), from January to June, control every 2 weeks for hair collecting and systematic hair trap replacement (execpt for the "Polecat" site). 3-year cycles (surveys undertaken every years on 1/3 of the squares, in rotation). https://www.list.lu/en/environment/project/forest-mammals/
Data have been standardized to Darwin Core using the camtrapdp R package and only include observations (and associated media) of animals. Excluded are records that document blank or unclassified media, vehicles and observations of humans.
","type":"OCCURRENCE","hostingOrganizationKey":"75642970-f855-11dd-8235-b8a03c50a862","hostingOrganizationTitle":"National Museum of Natural History, Luxembourg","hostingCountry":"LU","publishingCountry":"LU","publishingOrganizationKey":"75642970-f855-11dd-8235-b8a03c50a862","publishingOrganizationTitle":"National Museum of Natural History, Luxembourg","endorsingNodeKey":"b0ccbf42-26b3-412e-b38a-339889154d77","license":"http://creativecommons.org/publicdomain/zero/1.0/legalcode","decades":[2020],"keywords":["Occurrence","Observation"],"recordCount":44731},{"key":"f0a42d7d-1eda-4ec8-ac66-c1343acea3bc","title":"Dataset from Snapshot Japan 2023","doi":"10.15468/y4erss","description":"We present the first dataset from a collaborative camera trap survey using the Snapshot protocol in Japan conducted in 2023. We collected data at 90 locations across 9 arrays for a total of 6162 trap-nights of survey effort. The total number of sequences with mammals and birds was 7967, including 20 mammal species and 23 avian species. Apart from humans, wild boar, sika deer, and rodents were the most commonly observed taxa on the camera traps, covering 57.9% of all the animal individuals. We provide the dataset Camtrap DP 1.0 format. Our dataset can be used for a part of global dataset for comparing relative abundances of wildlife and for a baseline of wildlife population trends in Japan.
Data have been standardized to Darwin Core using the camtrapdp R package and only include observations (and associated media) of animals. Excluded are records that document blank or unclassified media, vehicles and observations of humans.
","type":"OCCURRENCE","hostingOrganizationKey":"c3367060-856b-11d9-8486-b8a03c50a862","hostingOrganizationTitle":"National Institute of Genetics, ROIS","hostingCountry":"JP","publishingCountry":"JP","publishingOrganizationKey":"ec424844-8efc-47ea-a446-60c6ded83cf3","publishingOrganizationTitle":"National Institute for Environmental Studies","endorsingNodeKey":"7f48e0c8-5c96-49ec-b972-30748e339115","license":"http://creativecommons.org/licenses/by/4.0/legalcode","decades":[2020],"keywords":["Occurrence","Observation","Snapshot","biodiversity monitoring","mammal","bird","East Asia","camera trap","network"],"recordCount":7620},{"key":"74196cd9-7ebc-4b20-bc27-3c2d22e31ed7","title":"Camera trap data recorded during pilot studies in the Amsterdamse Waterleidingduinen - pilot 1","doi":"10.15468/pg338w","description":"This camera trap pilot 1 was primarily focused on testing camera deployment, data accumulation and data transmission (4G coverage) in a remote dune location of the Netherlands. Three Snyper Commander cameras were deployed from August 13th 2021 to August 2023 (approx. 747 days). The three cameras were placed within exclosures (locations Zilkerpad, van Limburgstirum Vallei and Wolfsveld in the Amsterdam Water Supply Dunes), at 30 cm above the ground. All images from 14th of August 2021 until 31st of December 2022 were annotated, with a total of 30,464 images over 505 days from the three 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).
Data have been standardized to Darwin Core using the camtrapdp R package and only include observations (and associated media) of animals. Excluded are records that document blank or unclassified media, vehicles and observations of humans.
","type":"OCCURRENCE","hostingOrganizationKey":"cace8d10-2646-11d8-a2da-b8a03c50a862","hostingOrganizationTitle":"Netherlands Biodiversity Information Facility (NLBIF)","hostingCountry":"NL","publishingCountry":"NL","publishingOrganizationKey":"1f55bd0a-6ebe-49a1-8a9c-9258702b6f46","publishingOrganizationTitle":"University of Amsterdam / IBED","endorsingNodeKey":"0909d601-bda2-42df-9e63-a6d51847ebce","license":"http://creativecommons.org/licenses/by/4.0/legalcode","decades":[2020],"keywords":["Occurrence","Observation","mammals","biodiversity monitoring","wildlife camera","exclosure","camera trap","herbivore","dune ecosystem","Natura 2000"],"projectIdentifier":"ARISE-MDS","recordCount":2148},{"key":"f9ba3c2e-0636-4f66-a4b5-b8c138046e9e","title":"Camera trap data recorded during pilot studies in the Amsterdamse Waterleidingduinen - pilot 2","doi":"10.15468/nxwpw6","description":"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).
Data have been standardized to Darwin Core using the camtrapdp R package and only include observations (and associated media) of animals. Excluded are records that document blank or unclassified media, vehicles and observations of humans.
","type":"OCCURRENCE","hostingOrganizationKey":"cace8d10-2646-11d8-a2da-b8a03c50a862","hostingOrganizationTitle":"Netherlands Biodiversity Information Facility (NLBIF)","hostingCountry":"NL","publishingCountry":"NL","publishingOrganizationKey":"1f55bd0a-6ebe-49a1-8a9c-9258702b6f46","publishingOrganizationTitle":"University of Amsterdam / IBED","endorsingNodeKey":"0909d601-bda2-42df-9e63-a6d51847ebce","license":"http://creativecommons.org/licenses/by/4.0/legalcode","decades":[2020],"keywords":["Occurrence","Observation","mammals","biodiversity monitoring","wildlife camera","exclosure","camera trap","herbivore","dune ecosystem","Natura 2000"],"projectIdentifier":"ARISE-MDS","recordCount":86},{"key":"bc0acb9a-131f-4085-93ae-a46e08564ac5","title":"Camera trap data recorded during pilot studies in the Amsterdamse Waterleidingduinen - pilot 3","doi":"10.15468/u88x5y","description":"Camera trapping pilot 3 was a test of the effect of lens angle, as well as a test of the influence of camera height and being deployed outside herbivore exclosures (security, herbivore damage, more varied habitat types). At each of three locations (all in the area Westweg of the Amsterdam Water Supply Dunes), both a regular lens Snyper Commander camera (52°) and a wide lens Wilsus Tradenda camera (100°) were deployed (n = 6 cameras). The cameras were placed at different heights at each location (30 cm, 40 cm and 50 cm above the ground). A month of data from this pilot was annotated, from 1st March 2023 to 31st of March 2023. This led to a total of 16,020 annotated images over 31 days from six 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).
Data have been standardized to Darwin Core using the camtrapdp R package and only include observations (and associated media) of animals. Excluded are records that document blank or unclassified media, vehicles and observations of humans.
","type":"OCCURRENCE","hostingOrganizationKey":"cace8d10-2646-11d8-a2da-b8a03c50a862","hostingOrganizationTitle":"Netherlands Biodiversity Information Facility (NLBIF)","hostingCountry":"NL","publishingCountry":"NL","publishingOrganizationKey":"1f55bd0a-6ebe-49a1-8a9c-9258702b6f46","publishingOrganizationTitle":"University of Amsterdam / IBED","endorsingNodeKey":"0909d601-bda2-42df-9e63-a6d51847ebce","license":"http://creativecommons.org/licenses/by/4.0/legalcode","decades":[2020],"keywords":["Occurrence","Observation","mammals","biodiversity monitoring","wildlife camera","exclosure","camera trap","herbivore","dune ecosystem","Natura 2000"],"projectIdentifier":"ARISE-MDS","recordCount":193},{"key":"8a5cbaec-2839-4471-9e1d-98df301095dd","title":"MICA - Muskrat and coypu camera trap observations in Belgium, the Netherlands and Germany","doi":"10.15468/5tb6ze","description":"MICA - Muskrat and coypu camera trap observations in Belgium, the Netherlands and Germany is a camera trap dataset published by the Research Institute for Nature and Forest (INBO). It contains camera trapping data collected for the LIFE project MICA, in which innovative techniques are tested for a more efficient control of muskrat and coypu populations, both invasive species. The camera traps were deployed using a standardized protocol (https://lifemica.eu/wp-content/uploads/2021/03/Protocol-camera-traps.pdf) at four locations in Flanders (26 cameras) and one in Germany (7 cameras) where the presence of muskrat and/or coypu was suspected. Images from the camera traps were uploaded to Agouti for annotation by project members. Bycatch species were also recorded. Issues with the dataset can be reported at https://github.com/inbo/camera-trap-datasets/issues.\n
This dataset was collected and processed with funding by the EU (LIFE18 NAT/NL/001047), Research Foundation - Flanders (LifeWatch) and NLBIF - Netherlands Biodiversity Information Facility.
Data have been standardized to Darwin Core using the camtrapdp R package and only include observations (and associated media) of animals. Excluded are records that document blank or unclassified media, vehicles and observations of humans.
","type":"OCCURRENCE","hostingOrganizationKey":"1cd669d0-80ea-11de-a9d0-f1765f95f18b","hostingOrganizationTitle":"Research Institute for Nature and Forest (INBO)","hostingCountry":"BE","publishingCountry":"BE","publishingOrganizationKey":"1cd669d0-80ea-11de-a9d0-f1765f95f18b","publishingOrganizationTitle":"Research Institute for Nature and Forest (INBO)","endorsingNodeKey":"fb11cfe1-ebc3-45af-9159-17d9fddbcdac","license":"http://creativecommons.org/publicdomain/zero/1.0/legalcode","decades":[2010,2020],"keywords":["Occurrence","Observation","muskrat","invasive alien species","coypu","public awareness campaign","damage prevention","flood control","flood protection","animal damage","pest control","camera traps"],"recordCount":116529},{"key":"3856c01f-5031-4cc1-a5b2-2daa9537411b","title":"Monitoreo pasivo de fauna silvestre con cámaras trampa en el Piedemonte Casanare, Colombia - Proyecto FIBRAS","doi":"10.15472/eezuqw","description":"El presente conjunto de datos incluye los registros obtenidos a partir de fototrampeo en el piedemonte del departamento de Casanare, Colombia. Entre los meses de noviembre a diciembre de 2020, noviembre 2021 y enero de 2022, y marzo a mayo de 2025 se instalaron cámaras trampa en 150 estaciones de muestreo en los municipios de Yopal, Aguazul y Tauramena. Estas cámaras permanecieron activas durante un promedio de 49 días por temporada. Del total de cámaras instaladas, durante el primer periodo de muestreo se obtuvieron datos efectivos de 139 equipos. En total, se obtuvieron 83.004 fotografías, de las cuales 34.360 corresponden a vertebrados, incluyendo 114 especies de aves, mamíferos y reptiles. Para el segundo periodo de muestreo, con 130 estaciones efectivas de muestreo, se obtuvieron 105.783 fotografías de las cuales 32.482 corresponden a vertebrados, donde los mamíferos presentan el mayor registro (54,4%), seguido de las aves, los reptiles con el 45% y el 0,06% respectivamente. Para el tercer periodo de muestreo, con 139 estaciones efectivas de muestreo, 97.677 fotografías de las cuales 7.900 corresponden a vertebrados, donde los mamíferos presentan el mayor registro (59,1%), seguido de las aves y los reptiles, con el 40,3% y el 0,06% respectivamente, después del eliminar fotografías en blanco y con independencia de 30 minutos.
Data have been standardized to Darwin Core using the camtrapdp R package and only include observations (and associated media) of animals. Excluded are records that document blank or unclassified media, vehicles and observations of humans.
","type":"OCCURRENCE","hostingOrganizationKey":"c4f66525-4d36-4c18-82ac-98e088f54db4","hostingOrganizationTitle":"Sistema de Información sobre Biodiversidad de Colombia - SiB Colombia","hostingCountry":"CO","publishingCountry":"CO","publishingOrganizationKey":"d5ef14a1-5177-4547-9ce2-46d84a4214eb","publishingOrganizationTitle":"Ecopetrol S.A.","endorsingNodeKey":"7e865cba-7c46-417b-ade5-97f2cf5b7be0","networkKeys":["2ee1bff7-0b34-4fa3-9433-feaa7c6ee08b"],"license":"http://creativecommons.org/licenses/by-nc/4.0/legalcode","decades":[2020],"keywords":["Occurrence","Observation","Casanare","mamíferos","piedemonte","reptiles","fototrampeo","aves","Samplingevent"],"projectIdentifier":"proyecto_FIBRAS","recordCount":108093},{"key":"d54b6dc3-48ab-4533-9e68-25ec45696737","title":"Camera trap surveys in Queensland's Wet Tropics 2022-2023","doi":"10.15468/kjqw3f","description":"This data was collected by Zachary Amir and the Ecolocical Cascades Lab at the University of Queensland to study interactions between native and invasive vertebrates in North Queensland's Wet Tropics Rainforests. The camera trap surveys conducted here complement and extend prior surveys conducted by Dr. Tom Bruce as part of his PhD research studying feral cats in North Queensland forests. Important to note that these surveys implemented paired camera deployments, where each sampling location received a camera placed on the road and another camera placed 50 m into the bush. Sampling locations were typically spaced 1km apart from each other, though this varies between small and large landscapes.\r\nThis dataset was provided to the ALA in the CamtrapDP data exchange format (https://camtrap-dp.tdwg.org/) and transformed into a Darwin Core event-based dataset.","type":"OCCURRENCE","hostingOrganizationKey":"3c5e4331-7f2f-4a8d-aa56-81ece7014fc8","hostingOrganizationTitle":"Atlas of Living Australia","hostingCountry":"AU","publishingCountry":"AU","publishingOrganizationKey":"dcdfa59f-04ec-4c59-b3e4-3a0f8bf0f28a","publishingOrganizationTitle":"Wildlife Observatory of Australia","endorsingNodeKey":"4a6f1b71-969e-4fc5-a693-282b05e1220c","license":"http://creativecommons.org/licenses/by/4.0/legalcode","recordCount":0},{"key":"a209cef2-cfad-460b-8ed4-0ccf211a8240","title":"MUNTJAC_ANTWERP - Camera trap observations of Chinese muntjac in forested areas near Antwerp (Belgium)","doi":"10.15468/gn87d6","description":"MUNTJAC_ANTWERP - Camera trap observations of Chinese muntjac in forested areas near Antwerp (Belgium) is a camera trap dataset published by the Research Institute for Nature and Forest (INBO). It contains camera trapping data collected for the monitoring of Chinese muntjac (Muntiacus reevesi) in the Region of Flanders with respect to Regulation EU nr. 1143/2014. The monitoring is performed in close collaboration with the Agency for Nature and Forest (ANB). Several forest areas east of Antwerp were sampled for animal wildlife, since Chinese muntjac is known to occur in the wider region since about 2012. The main area of study is Park Vordenstein, a government-owned woodland park that is open to the public. Camera traps were installed per forest area, in northerly direction at a height of about 50 cm. The number of camera traps varied per area and per year. Images from the camera traps were uploaded to Agouti for data annotation. All observations of muntjac were double-checked in the framework of further analyses. Issues with the dataset can be reported at https://github.com/inbo/camera-trap-datasets/issues. We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the INBO norms for data use (https://www.inbo.be/en/norms-data-use) when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata or via opendata@inbo.be. This dataset was collected using infrastructure managed by INBO and financed by the Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.
Data have been standardized to Darwin Core using the camtrapdp R package and only include observations (and associated media) of animals. Excluded are records that document blank or unclassified media, vehicles and observations of humans.
","type":"OCCURRENCE","hostingOrganizationKey":"1cd669d0-80ea-11de-a9d0-f1765f95f18b","hostingOrganizationTitle":"Research Institute for Nature and Forest (INBO)","hostingCountry":"BE","publishingCountry":"BE","publishingOrganizationKey":"1cd669d0-80ea-11de-a9d0-f1765f95f18b","publishingOrganizationTitle":"Research Institute for Nature and Forest (INBO)","endorsingNodeKey":"fb11cfe1-ebc3-45af-9159-17d9fddbcdac","license":"http://creativecommons.org/publicdomain/zero/1.0/legalcode","decades":[2020],"keywords":["Occurrence","Observation","Muntiacus reevesi","Chinese muntjac","invasive alien species","Mammalia","alien species","Flanders, Belgium","birds","camera traps","Lifewatch"],"projectIdentifier":"MUNTJAC_ANTWERP","recordCount":11967},{"key":"c9cbc586-660e-4d89-ba14-0000c5770de1","title":"GMU8_LEUVEN - Camera trap observations in natural habitats south of Leuven (Belgium)","doi":"10.15468/4u3wm4","description":"GMU8_LEUVEN - Camera trap observations in natural habitats south of Leuven (Belgium) is a dataset published by the Research Institute for Nature and Forest (INBO). It contains camera trap data primarily collected to monitor the interaction between human activities (e.g. recreation, hunting) and the population dynamics as well as geographical and temporal distribution of roe deer (Capreolus capreolus) and wild boar (Sus scrofa) in natural areas south of Leuven. However, the dataset also includes all recorded observations of mammals and birds captured during the monitoring period. Observations later than 2024-09-05 are under embargo, unless they are observations of non-native species.\n
Monitoring started in March 2018 and was conducted in close collaboration with hunters and members of local nature conservation associations active in the area. Several forest and nature areas south of Leuven were sampled, with the main forest complexes being Meerdaalwoud, Heverleebos, and Egenhovenbos. Additionally, camera traps were placed in the valleys of the Dijle, Laan, and Yse rivers. Each camera trap was installed facing north at a height of approximately 50 cm. No bait was used during the monitoring.\n
The sampling design was based on a grid of 250 x 250 meter cells. Camera locations were determined by randomly selecting a subset of these grid cells, and the coordinates used for placement corresponded to the center point of each selected cell. A total of 32 camera traps were used. These were relocated monthly, with each selected grid cell being monitored once during the winter and once during the summer. Images from the camera traps were uploaded to Agouti for data annotation. Issues with the dataset can be reported at https://github.com/inbo/camera-trap-datasets/issues.\n
We have released this dataset to the public domain under a Creative Commons Zero waiver. We kindly ask users to follow the INBO norms for data use (https://www.inbo.be/en/norms-data-use) when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata or via opendata@inbo.be. Researchers can request more detailed geographic coordinates of the camera trap locations by contacting jim.casaer@inbo.be.\n
This dataset was collected using infrastructure managed by INBO and funded by the Research Foundation – Flanders (FWO) as part of Belgium’s contribution to LifeWatch.
Data have been standardized to Darwin Core using the camtrapdp R package and only include observations (and associated media) of animals. Excluded are records that document blank or unclassified media, vehicles and observations of humans.
","type":"OCCURRENCE","hostingOrganizationKey":"1cd669d0-80ea-11de-a9d0-f1765f95f18b","hostingOrganizationTitle":"Research Institute for Nature and Forest (INBO)","hostingCountry":"BE","publishingCountry":"BE","publishingOrganizationKey":"1cd669d0-80ea-11de-a9d0-f1765f95f18b","publishingOrganizationTitle":"Research Institute for Nature and Forest (INBO)","endorsingNodeKey":"fb11cfe1-ebc3-45af-9159-17d9fddbcdac","license":"http://creativecommons.org/publicdomain/zero/1.0/legalcode","decades":[2010,2020],"keywords":["Occurrence","Observation","European Observatory of Wildlife (EOW)","roe deer","Flanders","GMU8","LifeWatch","Long Term Ecological Research Network (LTER)","birds","wildlife management","invasive alien species","Nationaal Park Brabantse Wouden","mammals","Belgium","wild boar","ungulates","camera traps"],"recordCount":67181},{"key":"0c74050a-13f8-4206-bd29-8c464a441def","title":"Wombat burrows are hotspots for small vertebrates in a landscape subject to gigafire","doi":"10.15468/4ca4ed","description":"Ecosystem engineers modify their environment and influence the availability of resources for other organisms. Burrowing species, a subset of allogenic engineers, are gaining recognition as ecological facilitators. Burrows created by these species provide habitat for a diverse array of other organisms. Following disturbances, burrows could also serve as ecological refuges, thereby enhancing ecological resistance to disturbance events. We explored the ecological role of Common Wombat (Vombatus ursinus) burrows using camera traps in forests of southeastern Australia. We compared animal activity at paired sites with and without burrows, from the same fire severity class and habitat. We examined how animal activity at Common Wombat burrows was affected by the 2019?20 Black Summer bushfires in Australia. We predicted that burrows would serve as hotspots for animal activity and as refuges in burned areas. The activity of several species including Bush Rat (Rattus fuscipes), Agile Antechinus (Antechinus agilis), Lace Monitor (Varanus varius), Painted Button-quail (Turnix varius), and Grey Shrike-thrush (Colluricincla harmonica) increased at sites where Common Wombat burrows were present, while other species avoided burrows. Species that were more active at burrows tended to be smaller mammal and bird species that are vulnerable to predation, whereas species that avoided burrows tended to be larger mammals that might compete with Common Wombat for resources. Species composition differed between sites with and without burrows, and burrow sites had higher native mammal species richness. The association of several species with burrows persisted or strengthened in areas that burned during the 2019?20 Black Summer bushfires, suggesting that Common Wombat burrows may act as ecological refuges for animals following severe wildfire. Our findings have relevance for understanding how animals survive, persist, and recover following extreme wildfire events.\r\n\r\nThis dataset was provided to the ALA in the CamtrapDP data exchange format https://camtrap-dp.tdwg.org/) and transformed into a Darwin Core event-based dataset.","type":"OCCURRENCE","hostingOrganizationKey":"3c5e4331-7f2f-4a8d-aa56-81ece7014fc8","hostingOrganizationTitle":"Atlas of Living Australia","hostingCountry":"AU","publishingCountry":"AU","publishingOrganizationKey":"dcdfa59f-04ec-4c59-b3e4-3a0f8bf0f28a","publishingOrganizationTitle":"Wildlife Observatory of Australia","endorsingNodeKey":"4a6f1b71-969e-4fc5-a693-282b05e1220c","license":"http://creativecommons.org/licenses/by/4.0/legalcode","recordCount":0},{"key":"dcdc214a-e8ec-467b-b5ed-c6b5e4993527","title":"Monitoring many landscapes in VIC-NSW border to assess impacts of 2019-20 gigafires on wildlife diel activity","doi":"10.15468/z2w339","description":"1. Climate change is altering fire regimes globally, leading to an increased incidence of large and severe wildfires, including gigafires (>100,000 ha), that homogenise landscapes. Despite this, our understanding of how large, severe wildfires affect biodiversity at the landscape scale remains limited.\r\n\r\n2. We investigated the impact of a gigafire that occurred during the unprecedented 2019?20 Australian ?Black Summer? on terrestrial fauna. We selected 24 study landscapes, each 0.7854 km2 in size, that represented a gradient in the extent of high severity fire, unburnt vegetation, and the diversity of fire severity classes (?pyrodiversity?). We used wildlife cameras to survey biodiversity across each landscape, and quantified species activity, community and functional diversity, and predator-prey network metrics. We used Bayesian mixed effects models to assess the influence of fire-induced landscape properties on these measures.\r\n\r\n3. Most native species showed resilience to the 2019?20 wildfires, displaying few relationships with fire-induced properties of landscapes, including the extent of high severity fire, unburnt vegetation, or pyrodiversity.\r\n\r\n4. Community and functional diversity, and measures of predator-prey networks, were also largely unaffected by fire-induced landscape properties, although landscapes with a greater proportion of high-severity fire had higher abundance and richness of introduced animal species.\r\n\r\n5. Synthesis and applications: Despite prevailing narratives of widespread ecological destruction following the 2019-20 wildfires, our findings suggest widespread resilience, potentially facilitated by evolutionary adaptations of animals to fire. Interventions aimed at helping such species recover may not be necessary and could instead focus on the subset of species that are vulnerable to severe fire. While mixed-severity fires are often advocated to promote biodiversity through pyrodiversity, our results suggest that such management efforts might not be necessary in our study region. Given that severe fire favours introduced animal species, invasive species management should focus on large, severely burnt areas.\r\n\r\nThis dataset was provided to the ALA in the CamtrapDP data exchange format https://camtrap-dp.tdwg.org/) and transformed into a Darwin Core event-based dataset.","type":"OCCURRENCE","hostingOrganizationKey":"3c5e4331-7f2f-4a8d-aa56-81ece7014fc8","hostingOrganizationTitle":"Atlas of Living Australia","hostingCountry":"AU","publishingCountry":"AU","publishingOrganizationKey":"dcdfa59f-04ec-4c59-b3e4-3a0f8bf0f28a","publishingOrganizationTitle":"Wildlife Observatory of Australia","endorsingNodeKey":"4a6f1b71-969e-4fc5-a693-282b05e1220c","license":"http://creativecommons.org/licenses/by/4.0/legalcode","recordCount":0}],"facets":[]}