Classroom Citizen Science: Occurrence Data Set from the IncluScience-Me and Concienciados Projects

Occurrence Observation
Dernière version Publié par Instituto de Investigación en Recursos Cinegéticos (IREC /CSIC-UCLM-JCCM) le mars 24, 2025 Instituto de Investigación en Recursos Cinegéticos (IREC /CSIC-UCLM-JCCM)

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Description

This database comes from an educational experience in different schools in the province of Cordoba, Spain, where during 2024 camera-trapping and citizen science were implemented to analyse the distribution and diversity of wild mammals in the surroundings of the schools. The main objective of these projects was to enhance the scientific, participatory and social dimensions by stimulating the interest of the school community in science, technology and nature conservation. During the development of the projects, pupils were encouraged to participate in the design of hypotheses, observation, data collection, processing, analysis and dissemination of data. One of the essential activities consisted in the placement of camera-trapping cameras by the students, in order to improve the students' knowledge of the mammal species in their environment. The records obtained were annotated using the citizen science platform MammalWeb.

Versions

Le tableau ci-dessous naffiche que les versions publiées de la ressource accessibles publiquement.

Comment citer

Les chercheurs doivent citer cette ressource comme suit:

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

Droits

Les chercheurs doivent respecter la déclaration de droits suivante:

L’éditeur et détenteur des droits de cette ressource est Instituto de Investigación en Recursos Cinegéticos (IREC /CSIC-UCLM-JCCM). Ce travail est sous licence Creative Commons Attribution (CC-BY) 4.0.

Enregistrement GBIF

Cette ressource a été enregistrée sur le portail GBIF, et possède lUUID GBIF suivante : 90022076-9496-4428-85d2-4566d73efcaf.  Instituto de Investigación en Recursos Cinegéticos (IREC /CSIC-UCLM-JCCM) publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec lapprobation du GBIF Spain.

Mots-clé

metadata; camera-traps; citizen science; mammals; scientific literacy; species distribution; Spain; Córdoba

Contacts

Jose Antonio Blanco-Aguiar
  • Créateur
  • Researcher
Instituto de Investigación en Recursos Cinegéticos (IREC / CSIC-UCLM-JCCM)
13071 Ciudad Real
ES
José Guerrero-Casado
  • Créateur
Universidad de Córdoba
14071 Córdoba
Antonio J Carpio
  • Créateur
Universidad de Córdoba
14071 Córdoba
ES
David Ferrer-Ferrando
  • Créateur
Instituto de Investigación en Recursos Cinegéticos (IREC / CSIC-UCLM-JCCM)
13071 Ciudad Real
ES
Tamara Murillo-Jiménez
  • Créateur
Universdiad de Córdoba
14071 Córdoba
ES
Cristina Olivares-Collado
  • Fournisseur Des Métadonnées
Universidad de Córdoba
14071 Córdoba
ES
Roberto Pascual-Rico
  • Fournisseur Des Métadonnées
Instituto de Investigación en Recursos Cinegéticos (IREC / CSIC-UCLM-JCCM)
13071 Ciudad Real
ES
Barlin Olivares Campos
  • Fournisseur Des Métadonnées
Universidad de Córdoba
14071 Córdoba
ES
Francisco Sánchez Tortosa
  • Fournisseur Des Métadonnées
Universidad de Córdoba
14071 Córdoba
ES
Rocio Serrano-Rodríguez
  • Fournisseur Des Métadonnées
Universidad de Córdoba
14071 Córdoba
ES
José Antonio Blanco Aguiar
  • Personne De Contact
  • Researcher
Instituto de Investigación en Recursos Cinegéticos IREC (CSIC-UCLM-JCCM)
  • Ronda de Toledo 12
13071 Ciudad Real
ES
Rocío Serrano Rodríguez
  • Personne De Contact
  • Researcher
Universidad de Córdoba
  • Avda. San Alberto magno, s/n
14071 Córdoba
ES
Asociación de Divulgación Científica y Pensamiento Crítico de Ciudad Real
Casa de la Ciencia de la Ciudad Real
Unidad de Cultura Científica y de la Innovación de la UCO
Unidad de Educación Inclusiva de la UCO
CEIP Nuestra Señora de Loreto
CEIP Ana de Charpentier
CEIP Nicolás del Valle
CEIP Nuestra Señora de la Cabeza
CEIP Carmen de Burgos
CEIP Tirso de Molina
CEIP Séneca
CPR Maestro Rafael Chacón Villafranca
La Trébola Montessori School
CDP Virgen de la Fuensanta
CDP Séneca
Asociacion MAXIMES

Couverture géographique

Córdoba province Spain

Enveloppe géographique Sud Ouest [36,932, -6], Nord Est [39, -3,823]

Couverture taxonomique

Pas de description disponible

Couverture temporelle

Date de début / Date de fin 2024-10-01 / 2024-06-30

Données sur le projet

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

Titre IncluScience-Me | ConCiencia-2 | Momentum CSIC
Identifiant FCT-22-17727 | PPG2023-UCOSOCIAL-05 | MNT24-IREC-01
Financement 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
Description du domaine détude / de recherche 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).
Description du design 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.

Les personnes impliquées dans le projet:

Rocio Serrano Rodríguez
Jose Antonio Blanco-Aguiar
Jose Guerrero-Casado
Antonio J Carpio
David Ferrer-Ferrando
Cristina Olivares-Collado
  • Auteur

Méthodes déchantillonnage

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.

Etendue de létude 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).
Contrôle qualité 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

Description des étapes de la méthode:

  1. 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).

Métadonnées additionnelles

Remerciements
Identifiants alternatifs 10.15470/aiq6nz
https://ipt.gbif.es/resource?r=incluscienceme-concienciados