Fine-grained spatio-temporal dataset specifically designed for bird behavior detection and species classification. The acquisition of the data was conducted within Alicante wetlands, specifically within the wetlands of La Mata Natural Park and El Hondo Natural Park (sutheastern Spain). This dataset was collected as part of the contributions to the CHAN-TWIN project. Only the annotations are available in the first release of the dataset, we are working to release the full set of videos soon. The dataset is composed by the next items: bounding_boxes.csv: Annotations from each of the frames composing the videos of the dataset. These annotations are given in CSV format, where the last field corresponds to the different bounding boxes that appear in each frame. The bounding boxes are tuples composed of 6 fields, following the next structure: [(X_max,Y_max,X_min,Y_min,Behavior_id,Bird_id)]. As different birds can appear in one frame, each of them is assigned with an ID, which is indicated with the field Bird_id of the previously mentioned tuple. behaviors_ID.csv: This file contains a mapping of the seven behavior classes that make up the data set and their numeric identifiers. species_ID.csv: This file contains the numerical identifiers associated with each bird species. videos: This folder contains the videos that compose the dataset. Within this dataset 13 different bird species are identified. These species are the next: White Wagtail, Glossy Ibis, Squacco Heron, Black-winged Stilt, Yellow-legged Gull, Common Gallinule, Black-headed Gull, Eurasian Coot, Little Ringed Plover, Eurasian Moorhen, Eurasian Magpie, Gadwall, Mallard and Northern Shoveler.