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220 results for “Camera Trap Image”
Benchmark datasets for detection and identification of insects from camera trap images with deep learning
<p><strong>Insect benchmark datasets for training, validation and test (train1201.zip, val1201.zip and test1201.zip) with time-lapse images as described in paper:</strong></p> <p><a href="https://www.biorxiv.org/content/10.1101/2022.10.25.513484v1">Bjerge K, Alison J, Dyrmann M, Frigaard C.E., Mann H. M. R., Høye T.T., Accurate detection and identification of insects from camera trap images with deep learning, bioRxiv:10.1101/2022.10.25.513484v1</a></p> <p>Labels in <strong>YOLO format: <a href="https://github.com/ultralytics/yolov5/issues/2293">ultralytics/yolov5: label format</a></strong></p> <p>The annotated training and validation datasets contains insects of nine different species as listed below:</p> <table> <tbody> <tr> <td>0 <em>Coccinellidae septempunctata</em></td> </tr> <tr> <td>1 <em>Apis mellifera</em></td> </tr> <tr> <td>2 <em>Bombus lapidarius</em></td> </tr> <tr> <td>3 <em>Bombus terrestris</em></td> </tr> <tr> <td>4 <em>Eupeodes corolla</em></td> </tr> <tr> <td>5 <em>Episyrphus balteatus</em></td> </tr> <tr> <td>6 <em>Aglais urticae</em></td> </tr> <tr> <td>7 <em>Vespula vulgaris</em></td> </tr> <tr> <td>8 <em>Eristalis tenax</em></td> </tr> </tbody> </table> <p>The test dataset contains additional classes of insects.</p> <table> <tbody> <tr> <td>9 Non-Bombus Anthophila</td> </tr> <tr> <td>10 Bombus spp.</td> </tr> <tr> <td>11 Syrphidae</td> </tr> <tr> <td>12 Fly spp.</td> </tr> <tr> <td>13 Unclear insect</td> </tr> <tr> <td>14 Mixed animals:<br> ——————————<br> Rhopalocera<br> Non-Anthophila Hymenoptera<br> Non-Syrphidae Diptera<br> Non-Conccinalidae Coleoptera<br> Concinellidae<br> Other animals</td> </tr> </tbody> </table> <p><strong>There are two naming conventions for image (.jpg) and label (.txt) files.</strong></p> <p><em>Background images without insects are named</em>:<br> “<strong>X_Seq-YYYYMMDDHHMMSS</strong>-snapshot”.<br> E.g.:<br> Background image: 12_13-20190704172200-snapshot.jpg<br> Empty label file: 12_13-20190704172200-snapshot.txt</p> <p><em>Images annotated with insects are named:</em><br> “<strong>SZ_IP-MonthDate_C_Seq-YYYYMMDDHHMMSS</strong>”.<br> E.g.:<br> Image file: S1_146-Aug23_1_156-20190822133230.jpg<br> Label file: S1_146-Aug23_1_156-20190822133230.txt</p> <p><strong>Abbreviations</strong>:</p> <p><strong>YYYYMMDDHHMMSS </strong>– Capture timestamp with year, month, date, hour, minutes, and second<br> <strong>Seq</strong> – Sequence number created by the motion program to separate images<br> <strong>C</strong> – Identification of two cameras with Id=0 or Id=1 in system identified by <strong>SZ_IP</strong><br> <strong>MonthDate </strong>– Folder name for where the original image were stored in the system<br> <strong>SZ_IP</strong> – Identification of five camera systems: S1_123, S2_146, S3_194, S4_199, S5_187 (Two cameras in each system)<br> <strong>X</strong> – An index number related to a specific camera and folder ensuring unique file names of background images from different camera systems.<br> <br> The important information in a filename is system (<strong>SZ_IP</strong>), camera Id (<strong>C</strong>) and timestamp (<strong>YYYYMMDDHHMMSS</strong>).</p> <p><strong>The three best YOLOv5 models (YOLOv5models.zip) from the paper are available in pytorch format.</strong></p> <p>All models are tested with YOLOv5 release v7.0 (22-11-2022): <a href="https://github.com/ultralytics/yolov5">ultralytics/yolov5: YOLOv5 in PyTorch</a></p> <p><strong>insect1201-bestF1-640v5m.pt</strong>: Model no. 6 in Table 2 (F1=0.912)<br> <strong>insect1201-bestF1-1280v5m6.pt</strong>: Model no. 8 in Table 2 (F1=0.925)<br> <strong>insect1201-bestF1-1280v5m6.pt</strong>: Model no. 10 in Table 2 (F1=0.932)</p> <p><strong>insects-1201val.yaml</strong>: YAML file with label names to train YOLOv5</p> <p><strong>trainInsects-1201m.sh</strong>: Linux bash shell script with parameters to train YOLOv5m6<br> <strong>valInsectsF1-1201.sh</strong>: Linux bash shell script with parameters to validated models</p> <p> </p>
Downsized camera trap images for automated classification
<b>Description: </b><p>Downsized (256x256) camera trap images used for the analyses in "Can CNN-based species classification generalise across variation in habitat within a camera trap survey?", and the dataset composition for each analysis. Note that images tagged as 'human' have been removed from this dataset. Full-size images for the BorneoCam dataset will be made available at LILA.science. The full SAFE camera trap dataset metadata is available at DOI: 10.5281/zenodo.6627707.</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://safeproject.net/projects/project_view/203"><b>Machine learning and image recognition to monitor spatio-temporal changes in the behaviour and dynamics of species interactions</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>NERC (NERC QMEE CDT Studentship, NE/P012345/1, <a href="http://gotw.nerc.ac.uk/list_full.asp?pcode=NE%2FP012345%2F1&cookieConsent=A">http://gotw.nerc.ac.uk/list_full.asp?pcode=NE%2FP012345%2F1&cookieConsent=A</a>)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://safeproject.net/datasets/xml_metadata?id=6627707">here</a></p><p><b>Files: </b>This dataset consists of 3 files: CT_image_data_info2.xlsx, DN_256x256_image_files.zip, DN_generalisability_code.zip</p><p><b>CT_image_data_info2.xlsx</b></p><p>This file contains dataset metadata and 1 data tables:</p><ol><li><p><b>Dataset Images</b> (described in worksheet Dataset_images)</p><p>Description: This worksheet details the composition of each dataset used in the analyses</p><p>Number of fields: 69</p><p>Number of data rows: 270287</p><p>Fields: </p><ul><li><b>filename</b>: Root ID (Field type: id)</li><li><b>camera_trap_site</b>: Site ID for the camera trap location (Field type: location)</li><li><b>taxon</b>: Taxon recorded by camera trap (Field type: taxa)</li><li><b>dist_level</b>: Level of disturbance at site (Field type: ordered categorical)</li><li><b>baseline</b>: Label as to whether image is included in the baseline training, validation (val) or test set, or not included (NA) (Field type: categorical)</li><li><b>increased_cap</b>: Label as to whether image is included in the 'increased cap' training, validation (val) or test set, or not included (NA) (Field type: categorical)</li><li><b>dist_individ_event_level</b>: Label as to whether image is included in the 'individual disturbance level datasets split at event level' training, validation (val) or test set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_1</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance level 1' training or test set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_2</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance level 2' training or test set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_3</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance level 3' training or test set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_4</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance level 4' training or test set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance level 5' training or test set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_pair_1_2</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance levels 1 and 2 (pair)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_pair_1_3</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance levels 1 and 3 (pair)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_pair_1_4</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance levels 1 and 4 (pair)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_pair_1_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance levels 1 and 5 (pair)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_pair_2_3</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance levels 2 and 3 (pair)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_pair_2_4</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance levels 2 and 4 (pair)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_pair_2_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance levels 2 and 5 (pair)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_pair_3_4</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance levels 3 and 4 (pair)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_pair_3_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance levels 3 and 5 (pair)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_pair_4_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance levels 4 and 5 (pair)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_triple_1_2_3</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance levels 1, 2 and 3 (triple)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_triple_1_2_4</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance levels 1, 2 and 4 (triple)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_triple_1_2_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance levels 1, 2 and 5 (triple)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_triple_1_3_4</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance levels 1, 3 and 4 (triple)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_triple_1_3_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance levels 1, 3 and 5 (triple)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_triple_1_4_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance levels 1, 4 and 5 (triple)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_triple_2_3_4</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance levels 2, 3 and 4 (triple)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_triple_2_3_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance levels 2, 3 and 5 (triple)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_triple_2_4_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance levels 2, 4 and 5 (triple)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_triple_3_4_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance levels 3, 4 and 5 (triple)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_quad_1_2_3_4</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance levels 1, 2, 3 and 4 (quad)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_quad_1_2_3_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance levels 1, 2, 3 and 5 (quad)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_quad_1_2_4_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance levels 1, 2, 4 and 5 (quad)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_quad_1_3_4_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance levels 1, 3, 4 and 5 (quad)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_quad_2_3_4_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance levels 2, 3, 4 and 5 (quad)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_combined_event_level_all_1_2_3_4_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at event level: disturbance levels 1, 2, 3, 4 and 5 (all)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_individ_1</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance level 1' training or test set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_individ_2</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance level 2' training or test set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_individ_3</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance level 3' training or test set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_individ_4</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance level 4' training or test set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_individ_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance level 5' training or test set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_pair_1_2</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance levels 1 and 2 (pair)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_pair_1_3</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance levels 1 and 3 (pair)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_pair_1_4</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance levels 1 and 4 (pair)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_pair_1_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance levels 1 and 5 (pair)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_pair_2_3</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance levels 2 and 3 (pair)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_pair_2_4</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance levels 2 and 4 (pair)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_pair_2_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance levels 2 and 5 (pair)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_pair_3_4</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance levels 3 and 4 (pair)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_pair_3_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance levels 3 and 5 (pair)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_pair_4_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance levels 4 and 5 (pair)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_triple_1_2_3</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance levels 1, 2 and 3 (triple)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_triple_1_2_4</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance levels 1, 2 and 4 (triple)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_triple_1_2_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance levels 1, 2 and 5 (triple)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_triple_1_3_4</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance levels 1, 3 and 4 (triple)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_triple_1_3_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance levels 1, 3 and 5 (triple)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_triple_1_4_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance levels 1, 4 and 5 (triple)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_triple_2_3_4</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance levels 2, 3 and 4 (triple)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_triple_2_3_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance levels 2, 3 and 5 (triple)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_triple_2_4_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance levels 2, 4 and 5 (triple)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_triple_3_4_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance levels 3, 4 and 5 (triple)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_quad_1_2_3_4</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance levels 1, 2, 3 and 4 (quad)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_quad_1_2_3_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance levels 1, 2, 3 and 5 (quad)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_quad_1_2_4_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance levels 1, 2, 4 and 5 (quad)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_quad_1_3_4_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance levels 1, 3, 4 and 5 (quad)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_quad_2_3_4_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance levels 2, 3, 4 and 5 (quad)' training set, or not included (NA) (Field type: categorical)</li><li><b>dist_camera_level_all_1_2_3_4_5</b>: Label as to whether image is included in the 'disturbance level combination analysis split at camera level: disturbance levels 1, 2, 3, 4 and 5 (all)' training set, or not included (NA) (Field type: categorical)</li></ul></li></ol><p><b>DN_256x256_image_files.zip</b></p><p>Description: Zip file containing all images used in the analyses</p><p><b>DN_generalisability_code.zip</b></p><p>Description: Zip file containing code for the analyses</p><p><b>Date range: </b>2011-03-19 to 2018-06-12</p><p><b>Latitudinal extent: </b>4.6350 to 4.7538</p><p><b>Longitudinal extent: </b>116.9472 to 117.6253</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Animalia <br> -  -  Chordata <br> -  -  -  Aves <br> -  -  -  -  Galliformes <br> -  -  -  -  Passeriformes <br> -  -  -  -  Cuculiformes <br> -  -  -  -  -  Cuculidae <br> -  -  -  -  Columbiformes <br> -  -  -  -  -  Columbidae <br> -  -  -  -  Gruiformes <br> -  -  -  -  -  Gruidae <br> -  -  -  Mammalia <br> -  -  -  -  Proboscidea <br> -  -  -  -  -  Elephantidae <br> -  -  -  -  -  -  <i>Elephas</i> <br> -  -  -  -  -  -  -  <i>Elephas maximus</i> <br> -  -  -  -  -  -  -  -  <i>Elephas maximus borneensis</i> <br> -  -  -  -  Erinaceomorpha <br> -  -  -  -  -  Erinaceidae <br> -  -  -  -  -  -  <i>Echinosorex</i> <br> -  -  -  -  -  -  -  <i>Echinosorex gymnura</i> <br> -  -  -  -  Pholidota <br> -  -  -  -  -  Manidae <br> -  -  -  -  -  -  <i>Manis</i> <br> -  -  -  -  -  -  -  <i>Manis javanica</i> <br> -  -  -  -  Scandentia <br> -  -  -  -  -  Tupaiidae <br> -  -  -  -  -  -  <i>Tupaia</i> <br> -  -  -  -  -  -  -  <i>Tupaia dorsalis</i> <br> -  -  -  -  -  -  -  <i>Tupaia gracilis</i> <br> -  -  -  -  -  -  -  <i>Tupaia longipes</i> <br> -  -  -  -  -  -  -  <i>Tupaia tana</i> <br> -  -  -  -  Artiodactyla <br> -  -  -  -  -  Cervidae <br> -  -  -  -  -  -  <i>Muntiacus</i> <br> -  -  -  -  -  -  -  <i>Muntiacus atherodes</i> <br> -  -  -  -  -  -  -  <i>Muntiacus muntjak</i> <br> -  -  -  -  -  -  <i>Rusa</i> <br> -  -  -  -  -  -  -  <i>Rusa unicolor</i> <br> -  -  -  -  -  Suidae <br> -  -  -  -  -  -  <i>Sus</i> <br> -  -  -  -  -  -  -  <i>Sus barbatus</i> <br> -  -  -  -  -  Bovidae <br> -  -  -  -  -  -  <i>Bos</i> <br> -  -  -  -  -  -  -  <i>Bos javanicus</i> <br> -  -  -  -  -  Tragulidae <br> -  -  -  -  -  -  <i>Tragulus</i> <br> -  -  -  -  -  -  -  <i>Tragulus kanchil</i> <br> -  -  -  -  -  -  -  <i>Tragulus napu</i> <br> -  -  -  -  Rodentia <br> -  -  -  -  -  Sciuridae <br> -  -  -  -  -  -  <i>Lariscus</i> <br> -  -  -  -  -  -  <i>Sundasciurus</i> <br> -  -  -  -  -  -  -  <i>Sundasciurus hippurus</i> <br> -  -  -  -  -  -  -  <i>Sundasciurus lowii</i> <br> -  -  -  -  -  Hystricidae <br> -  -  -  -  -  -  <i>Hystrix</i> <br> -  -  -  -  -  -  -  <i>Hystrix brachyura</i> <br> -  -  -  -  -  -  -  <i>Hystrix crassispinis</i> <br> -  -  -  -  -  -  <i>Trichys</i> <br> -  -  -  -  -  -  -  <i>Trichys fasciculata</i> <br> -  -  -  -  -  Muridae <br> -  -  -  -  -  -  <i>Sundamys</i> <br> -  -  -  -  -  -  -  <i>Sundamys muelleri</i> <br> -  -  -  -  -  -  <i>Leopoldamys</i> <br> -  -  -  -  -  -  -  <i>Leopoldamys sabanus</i> <br> -  -  -  -  Primates <br> -  -  -  -  -  Hominidae <br> -  -  -  -  -  -  <i>Homo</i> <br> -  -  -  -  -  -  -  <i>Homo sapiens</i> <br> -  -  -  -  -  -  <i>Pongo</i> <br> -  -  -  -  -  -  -  <i>Pongo pygmaeus</i> <br> -  -  -  -  -  Cercopithecidae <br> -  -  -  -  -  -  <i>Presbytis</i> <br> -  -  -  -  -  -  <i>Macaca</i> <br> -  -  -  -  -  -  -  <i>Macaca fascicularis</i> <br> -  -  -  -  -  -  -  <i>Macaca nemestrina</i> <br> -  -  -  -  -  Tarsiidae <br> -  -  -  -  -  -  <i>Cephalopachus</i> <br> -  -  -  -  -  -  -  <i>Cephalopachus bancanus</i> <br> -  -  -  -  Carnivora <br> -  -  -  -  -  Felidae <br> -  -  -  -  -  -  <i>Prionailurus</i> <br> -  -  -  -  -  -  -  <i>Prionailurus bengalensis</i> <br> -  -  -  -  -  -  <i>Pardofelis</i> <br> -  -  -  -  -  -  -  <i>Pardofelis marmorata</i> <br> -  -  -  -  -  -  <i>Neofelis</i> <br> -  -  -  -  -  -  -  <i>Neofelis nebulosa</i> <br> -  -  -  -  -  -  <i>Catopuma</i> <br> -  -  -  -  -  -  -  <i>Catopuma badia</i> <br> -  -  -  -  -  Mustelidae <br> -  -  -  -  -  -  <i>Amblonyx</i> <br> -  -  -  -  -  -  -  <i>Amblonyx cinereus</i> <br> -  -  -  -  -  -  <i>Martes</i> <br> -  -  -  -  -  -  -  <i>Martes flavigula</i> <br> -  -  -  -  -  Mephitidae <br> -  -  -  -  -  -  <i>Mydaus</i> <br> -  -  -  -  -  -  -  <i>Mydaus marchei</i> <br> -  -  -  -  -  Ursidae <br> -  -  -  -  -  -  <i>Helarctos</i> <br> -  -  -  -  -  -  -  <i>Helarctos malayanus</i> <br> -  -  -  -  -  Canidae <br> -  -  -  -  -  -  <i>Canis</i> <br> -  -  -  -  -  -  -  <i>Canis lupus</i> <br> -  -  -  -  -  -  -  -  <i>Canis lupus familiaris</i> <br> -  -  -  -  -  Viverridae <br> -  -  -  -  -  -  <i>Paguma</i> <br> -  -  -  -  -  -  -  <i>Paguma larvata</i> <br> -  -  -  -  -  -  <i>Prionodon</i> <br> -  -  -  -  -  -  -  <i>Prionodon linsang</i> <br> -  -  -  -  -  -  <i>Arctictis</i> <br> -  -  -  -  -  -  -  <i>Arctictis binturong</i> <br> -  -  -  -  -  -  <i>Paradoxurus</i> <br> -  -  -  -  -  -  -  <i>Paradoxurus hermaphroditus</i> <br> -  -  -  -  -  -  <i>Hemigalus</i> <br> -  -  -  -  -  -  -  <i>Hemigalus derbyanus</i> <br> -  -  -  -  -  -  <i>Viverra</i> <br> -  -  -  -  -  -  -  <i>Viverra tangalunga</i> <br> -  -  -  -  -  Herpestidae <br> -  -  -  -  -  -  <i>Herpestes</i> <br> -  -  -  -  -  -  -  <i>Herpestes brachyurus</i> <br> -  -  -  -  -  -  -  <i>Herpestes semitorquatus</i> <br></div><p></p>
Camera trap image of Phylloscopus collybita (2016-01-18T19:05:44Z)
Camera Trap Image taken in <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Camera trap image of Lepus europaeus (2019-02-01T14:20:22Z)
Camera Trap Image taken in <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Camera trap image of Felis silvestris catus (2017-09-11T12:16:10Z)
Camera Trap Image taken in <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Camera trap image of Capreolus capreolus (2017-11-19T11:04:43Z)
Camera Trap Image taken in <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Camera trap image of Vulpes vulpes (2017-09-18T07:57:01Z)
Camera Trap Image taken in <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Camera trap image of Capreolus capreolus (2018-07-18T14:24:48Z)
Camera Trap Image taken in <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Camera trap image of Turdus philomelos (2017-06-08T11:44:49Z)
Camera Trap Image taken in <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Camera trap image of Capreolus capreolus (2018-02-17T10:15:52Z)
Camera Trap Image taken in <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Camera trap image of Vulpes vulpes (2018-07-07T17:20:31Z)
Camera Trap Image taken in <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Camera trap image of Turdus merula (2018-03-13T15:07:40Z)
Camera Trap Image taken in <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Camera trap image of Mustela putorius (2018-08-20T09:59:09Z)
Camera Trap Image taken in <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Camera trap image of Sitta europaea (2019-02-03T12:53:45Z)
Camera Trap Image taken in <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Camera trap image of Turdus philomelos (2018-04-16T14:08:42Z)
Camera Trap Image taken in <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Camera trap image of Apodemus sylvaticus (2018-10-04T23:32:37Z)
Camera Trap Image taken in <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Camera trap image of Capreolus capreolus (2017-10-29T16:30:58Z)
Camera Trap Image taken in <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Camera trap image of Vulpes vulpes (2018-05-09T16:23:27Z)
Camera Trap Image taken in <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Camera trap image of Turdus iliacus (2018-01-16T12:39:14Z)
Camera Trap Image taken in <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Camera trap image of Capreolus capreolus (2018-07-06T17:33:05Z)
Camera Trap Image taken in <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.