Replication data for Özdil et al., 2024, antennal grooming paper.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 5 of 5 Results
Antennal Grooming Subtype Annotations and Kinematics (Replication Data for Figure 1)
Antennal Grooming Subtype Annotations and Kinematics (Replication Data for Figure 1)
Jan 9, 2025
Özdil, Gizem, 2025, "Antennal Grooming Subtype Annotations and Kinematics (Replication Data for Figure 1)", https://doi.org/10.7910/DVN/KRNZF0, Harvard Dataverse, V1
This folder contains the antennal grooming subtype annotations for different optogenetic trials (behavior_annotations.pkl) used for Figure 1 and its supplementary figures/videos. The accompanying .txt file (label_definition.txt) describes each behavioral label. Additionally, a PDF illustrating the tracked key points' location is provided (tracked_k...
Antennal Grooming Network Dataset (Replication Data for Figure 4)
Jan 9, 2025
Özdil, Gizem, 2025, "Antennal Grooming Network Dataset (Replication Data for Figure 4)", https://doi.org/10.7910/DVN/OX4N8E, Harvard Dataverse, V1
This folder contains the antennal grooming network dataset (grooming_network.pkl OR .csv) constructed in this work. The dataset represents the network as a table, where each row defines a connection between a pair of neurons. The data is derived from the FlyWire brain dataset (v783). Column Descriptions pre_root_id: FlyWire ID of the presynaptic ne...
Replication Data for All Figures
Jan 9, 2025
Özdil, Gizem, 2025, "Replication Data for All Figures", https://doi.org/10.7910/DVN/N8ITTG, Harvard Dataverse, V1, UNF:6:Fkg5O3kBAdrINgrG7aQlRw== [fileUNF]
This dataset contains all files required to reproduce the figures in Ozdil et al., 2024 using the analysis code provided at https://github.com/NeLy-EPFL/antennal-grooming
DeepLabCut Networks for 2D Pose Estimation
DeepLabCut Networks for 2D Pose Estimation
Jan 6, 2025
Özdil, Gizem, 2025, "DeepLabCut Networks for 2D Pose Estimation", https://doi.org/10.7910/DVN/ACNHMP, Harvard Dataverse, V1
This folder contains trained DeepLabCut networks for 2D pose estimation from multiple viewpoints, as described in this work. It includes three subfolders, each corresponding to a different network for performing 2D pose estimation on side (cam1), side-front (cam2), and front (cam3) views. We used the same networks for mirror cameras (e.g., the righ...
Kinematics of Antennal Grooming Following Experimental Perturbations (Replication Data for Figure 3)
Kinematics of Antennal Grooming Following Experimental Perturbations (Replication Data for Figure 3)
Jan 6, 2025
Özdil, Gizem, 2025, "Kinematics of Antennal Grooming Following Experimental Perturbations (Replication Data for Figure 3)", https://doi.org/10.7910/DVN/LJORSA, Harvard Dataverse, V1
This folder contains the antennal grooming body part kinematics data recorded after various morphological and kinematics used for Figure 3 and its supplementary figures. Additionally, a PDF illustrating the locations of the tracked key points (tracked_keypoints.pdf) is provided. This dataset represents the raw data. The data was further segmented a...
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.