Description
Versions
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How to cite
Researchers should cite this work as follows:
Blanco-Aguiar J A, Guerrero-Casado J, Carpio A J, Ferrer-Ferrando D, Murillo-Jiménez T, Olivares-Collado C, Pascual-Rico R, Olivares Campos B, Sánchez Tortosa F, Serrano-Rodríguez R (2025). Classroom Citizen Science: Occurrence Data Set from the IncluScience-Me and Concienciados Projects. Version 1.0. Universidad de Córdoba & IREC (CSIC-UCLM-JCCM). Metadata dataset. https://ipt.gbif.es/resource?r=incluscienceme-concienciados&v=1.0
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The publisher and rights holder of this work is Instituto de Investigación en Recursos Cinegéticos (IREC /CSIC-UCLM-JCCM). This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.
GBIF Registration
This resource has been registered with GBIF, and assigned the following GBIF UUID: 90022076-9496-4428-85d2-4566d73efcaf. Instituto de Investigación en Recursos Cinegéticos (IREC /CSIC-UCLM-JCCM) publishes this resource, and is itself registered in GBIF as a data publisher endorsed by GBIF Spain.
Keywords
metadata; camera-traps; citizen science; mammals; scientific literacy; species distribution; Spain; Córdoba
Contacts
- Originator
- Researcher
- Originator
- Originator
- Originator
- Originator
- Metadata Provider
- Metadata Provider
- Metadata Provider
- Metadata Provider
- Metadata Provider
- Point Of Contact
- Researcher
- Ronda de Toledo 12
https://orcid.org/0000-0003-0041-1996
- Point Of Contact
- Researcher
Geographic Coverage
Córdoba province Spain
| Bounding Coordinates | South West [36.932, -6], North East [39, -3.823] |
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Taxonomic Coverage
No Description available
Temporal Coverage
| Start Date / End Date | 2024-10-01 / 2024-06-30 |
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Project Data
IncluScience-Me: Ciencia ciudadana en las aulas para impulsar la cultura científica y la conservación de la biodiversidad: IncluScience-Me ConCiencia-2 : Cultura Científica en las aulas (ConCiencia-2): acercamiento de la alfabetización científica y la biodiversidad a las aulas del medio rural Momentum.CSIC: Gestión adaptativa de fauna silvestre en la era digital: avances para la recopilación, procesamiento y difusión de datos
| Title | IncluScience-Me | ConCiencia-2 | Momentum CSIC |
|---|---|
| Identifier | FCT-22-17727 | PPG2023-UCOSOCIAL-05 | MNT24-IREC-01 |
| Funding | IncluScience-Me: FCT-22-17727 - Fundación Española para la Ciencia y la Tecnología (FECYT) - Ministerio de Ciencia, Innovación y Universidades ConCiencia-2: PPG2023-UCOSOCIAL-05 - IX Plan Propio Galileo de Innovación y Transferencia de la Universidad de Córdoba Momentum CSIC: MNT24-IREC-01 - the European Commission - NextGenerationEU |
| Study Area Description | The study was carried out in different locations in the province of Cordoba (Spain) close to the participating schools, covering a total of 11 UTM (30-North) 10x10 km grid squares. Although with slight differences, the climate of all locations is Mediterranean with hot, dry summers and mild, relatively humid winters. In terms of vegetation type, the sampled grids are agricultural areas with a predominance of olive groves and small remnants of natural vegetation (grids UG18, UG37, UG43, UG44, UG84 and UG94, Fig. 1); holm oak pastures with Mediterranean sclerophyllous scrubland and uncultivated herbaceous vegetation with livestock use (UG49, UH26, and UH40); and dense scrubland in more humid areas formed by species such as strawberry tree (Arbutus unedo), Viburnum (Viburnum tinus) or aladierno (Rhamnus alaternus) (UG39 and UH30). |
| Design Description | A total of 57 cameras were installed in the 11 grids during the months of January to April 2024. Between 1 and 8 Browning BCT-5HDPX, BTC-4P and BTC-4E20 camera traps were located in each grid, which were active between 21 and 30 days in partially overlapping periods. The distance between chambers within each grid ranged 100-2700 metres (mean ± standard deviation (S.D.) = 615 m ± 822). Cameras were placed in trees 50 cm above the ground and set to take 3 pictures each time an animal was detected, with a rest interval of 1 min, which were considered as independent image sequence records (hereafter; sequence records). Some cameras were programmed in 20-second video mode. |
The personnel involved in the project:
- Author
Sampling Methods
A total of 57 cameras were installed in the 11 grids during the months of January to April 2024. Between 1 and 8 Browning BCT-5HDPX, BTC-4P and BTC-4E20 camera traps were located in each grid, which were active between 21 and 30 days in partially overlapping periods. The distance between chambers within each grid ranged 100-2700 metres (mean ± standard deviation (S.D.) = 615 m ± 822). Cameras were placed in trees 50 cm above the ground and set to take 3 pictures each time an animal was detected, with a rest interval of 1 min, which were considered as independent image sequence records. Some cameras were programmed in 20-second video mode. Daily records by species and camera trap (location) obtained during this study were shared with a precision of 1x1 km2.
| Study Extent | The study was carried out in different locations in the province of Cordoba (Spain), covering a total of 11 UTM 10x10 km grid squares (30-North). Although with slight differences, the climate of all locations is Mediterranean with hot, dry summers and mild, relatively humid winters. In terms of vegetation type, the sampled grids are agricultural areas with a predominance of olive groves and small remnants of natural vegetation (grids UG18, UG37, UG43, UG44, UG84 and UG94); holm oak pastures with Mediterranean sclerophyllous scrubland and uncultivated herbaceous vegetation with livestock use (UG49, UH26, and UH40); and dense scrubland in more humid areas formed by species such as strawberry tree (Arbutus unedo), Viburnum (Viburnum tinus) or aladierno (Rhamnus alaternus) (UG39 and UH30). |
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| Quality Control | The images and videos obtained from the camera traps were selected and uploaded to the MammalWeb platform (mammalweb.org). This platform, adapted and managed in Spain by the MammalNet project, allows the generation of photo-trapping projects to encourage citizen science among different groups. The images shown to participants were randomly selected and did not follow a continuous display criterion per device, which increases independence in identification and avoids possible biases associated with consecutive display. MammalWeb allows each image to be viewed and annotated frequently, taking advantage of the participation of different annotators, so that repeated identifications can be obtained for most of the images. This approach uses the mode of the annotated species to reduce potential identification errors, taking advantage of the potential of citizen participation. Biologists with expertise in species identification were in charge of validating the images and resolving any doubtful identifications made by the participants. The daily records per camera are incorporated in the database, which in case of doubt allows validation of other higher quality images taken within the daily event. As rodent were complicated to identify by citizens, were excluded from the data set, with the exception of the garden dormouse (Elyomis quercinus) whose long tail is easily recognisable from a distance. item-0 |
Method step description:
- Between January and April 2024, 11 educational centres and 800 schoolchildren aged four to twelve in the province of Cordoba. A total of 57 camera Traps were installed in the 11 grids. In each grid, between 1 and 8 Browning BCT-5HDPX, BTC-4P and BTC-4E20 camera traps were placed, which were active between 21 and 30 days in partially overlapping periods. The cameras were placed in trees 50 cm above the ground and set to trigger 3 photographs each time an animal was detected, with a 1 minute rest interval. The images and videos obtained from the camera traps were selected and uploaded to the platform MammalWeb (mammalweb.org).
Additional Metadata
| Acknowledgements | |
|---|---|
| Alternative Identifiers | 10.15470/aiq6nz |
| https://ipt.gbif.es/resource?r=incluscienceme-concienciados |