The DiverReef database provides the first public dataset on the underwater behavior of recreational divers and snorkellers in shallow reef environments (< 25 m depth) globally and their interactions with the reef seascape and/or reef benthic sessile organisms. The dataset comprises 19 years of data (2004-2023) by observing the behavior of 2312 recreational divers and snorkelers in 9 countries at 19 diving destinations and 176 diving sites. The data were collected through on-site observation of divers' behavior during tourism activities and their physical interactions with the reef structure and/or benthic reef sessile organisms. Observers discretely followed divers and recorded their behavior and interactions with the reef over set time periods. Interactions were described as "contact" and "damage", the latter refers to when physical damage to a benthic organism or the reef structure was observed. Besides behavior, observers also recorded data on the type of diving activity (scuba or snorkeling), profiles of the divers (gender and experience), use of cameras by the divers, visibility, type of reef formation and marine protection status of the dive site. This is the external repository where the DiverReef database is archived. This database has an attribution-share alike (CC BY-SA 4.0 Deed) copyright restriction. When using this database, the original paper in the Ecology journal (include DOI when available) must be cited.

The DiverReef database provides the first public dataset on the underwater behavior of recreational divers and snorkellers in shallow reef environments (< 25 m depth) globally and their interactions with the reef seascape and/or reef benthic sessile organisms. The dataset comprises 19 years of data (2004-2023) by observing the behavior of 2312 recreational divers and snorkelers in 9 countries at 19 diving destinations and 176 diving sites. The data were collected through on-site observation of divers' behavior during tourism activities and their physical interactions with the reef structure and/or benthic reef sessile organisms. Observers discretely followed divers and recorded their behavior and interactions with the reef over set time periods. Interactions were described as "contact" and "damage", the latter refers to when physical damage to a benthic organism or the reef structure was observed. Besides behavior, observers also recorded data on the type of diving activity (scuba or snorkeling), profiles of the divers (gender and experience), use of cameras by the divers, visibility, type of reef formation and marine protection status of the dive site. This is the external repository where the DiverReef database is archived. This database has an attribution-share alike (CC BY-SA 4.0 Deed) copyright restriction. When using this database, the original paper in the Ecology journal (include DOI when available) must be cited.

The DiverReef database provides the first public dataset on the underwater behavior of recreational divers and snorkellers in shallow reef environments (< 25 m depth) globally and their interactions with the reef seascape and/or reef benthic sessile organisms. The dataset comprises 19 years of data (2004-2023) by observing the behavior of 2312 recreational divers and snorkelers in 9 countries at 19 diving destinations and 176 diving sites. The data were collected through on-site observation of divers' behavior during tourism activities and their physical interactions with the reef structure and/or benthic reef sessile organisms. Observers discretely followed divers and recorded their behavior and interactions with the reef over set time periods. Interactions were described as "contact" and "damage", the latter refers to when physical damage to a benthic organism or the reef structure was observed. Besides behavior, observers also recorded data on the type of diving activity (scuba or snorkeling), profiles of the divers (gender and experience), use of cameras by the divers, visibility, type of reef formation and marine protection status of the dive site. This is the external repository where the DiverReef database is archived. This database has an attribution-share alike (CC BY-SA 4.0 Deed) copyright restriction. When using this database, the original paper in the Ecology journal (include DOI when available) must be cited.

Image bank of fish trays collected in the wholesale fish market in El Campello (Alicante, Spain) by artisanal fishing belonging to the DeepFish project. The original fish tray images are provided in the "fish_tray_images_2021_MM_DD.zip" files. MM and DD stand for the month and initial day (e.g. 04_01 stands for the first of April and subsequent days, and 05_17 stands for the 17th of May, and subsequent days until the end of the month). The last zip file of this kind, 2021_06-09, contains all images from June to September. JSON files (in fish_tray_json_labels.zip) are prepared to be used with the "Django Labeller" software, but can be converted to any format, e.g. "COCO" which is also provided in the "coco_format_fish_data.json" file. Each of these JSON files is composed by an object containing the name of the image and the labels appearing in it. Inside each label, the following information is provided: Type of label. It can be a size (total, diameter of the eye...), tray or fish specie. Class of the label. It means the concrete specie, measurement or tray depending on the type of label. Semantic segmentation represented by one or multiple regions in case of occlusions. Represented by an array of coordinates in the image (x and y). Object_id: Identifier of the label, unique in the entire dataset. Father_object_id: In case this is not the main object (The label with the segmentation of the species). It will point to the identifier (ID) of that main species to which it belongs. It means, if this is the total size, it will point to the fish sized like that. Furthermore, estimated fish sizes are also provided in the "size_estimation_homography_DeepFish.csv" file. These size estimations are calculated using homography of the known tray size, to convert from pixel units to centimetres.

Image bank of fish trays collected in the wholesale fish market in El Campello (Alicante, Spain) by artisanal fishing belonging to the DeepFish project. The original fish tray images are provided in the "fish_tray_images_2021_MM_DD.zip" files. MM and DD stand for the month and initial day (e.g. 04_01 stands for the first of April and subsequent days, and 05_17 stands for the 17th of May, and subsequent days until the end of the month). The last zip file of this kind, 2021_06-09, contains all images from June to September. JSON files (in fish_tray_json_labels.zip) are prepared to be used with the "Django Labeller" software, but can be converted to any format, e.g. "COCO" which is also provided in the "coco_format_fish_data.json" file. Each of these JSON files is composed by an object containing the name of the image and the labels appearing in it. Inside each label, the following information is provided: Type of label. It can be a size (total, diameter of the eye...), tray or fish specie. Class of the label. It means the concrete specie, measurement or tray depending on the type of label. Semantic segmentation represented by one or multiple regions in case of occlusions. Represented by an array of coordinates in the image (x and y). Object_id: Identifier of the label, unique in the entire dataset. Father_object_id: In case this is not the main object (The label with the segmentation of the species). It will point to the identifier (ID) of that main species to which it belongs. It means, if this is the total size, it will point to the fish sized like that. Furthermore, estimated fish sizes are also provided in the "size_estimation_homography_DeepFish.csv" file. These size estimations are calculated using homography of the known tray size, to convert from pixel units to centimetres.