| Object Categories for Children ages 4-6 | 200 object images from distinct categories, 100 pairs of objects, differing at the exemplar level, 100 pairs of objects differing in their state level |
| Boundary Images used in Williams Syndrome fMRI experiment | Scene images with mat, curb, wall boundaries |
| Images with different navigational distance | Scene images with near, middle, far distances to the back wall with glass wall (both fixed and variable distances), no glass wall, and curtain boundaries |
| Animacy x Size "Texforms" | 30 small animals, 30 big animals, 30 small objects, 30 big objects both in original and texform versions |
| Animacy x Size | 60 small animals, 60 big animals, 60 small objects, 60 big objects |
| Big and Small Objects | 200 big objects, 200 small objects |
| Action video clips | 2 video sets each of 60 everyday actions |
| "Massive Memory" Unique Object Images | 2400 object images from distinct categories, 200 pairs of objects, differing at the examplar level, 200 pairs of objects, differing in their state or pose |
| "Massive Memory" Object Categories | 200 object categories with 17 exemplars each, Perceptual & conceptual distinctiveness rankings, 240 more object categories with 1-16 examplars |
| "Massive Memory" Scene Categories | 128 scene categories with 1-64 exemplars |
| 8 "Classic" Categories | 30 each of Bodies, Buildings, Cars, Cats, Chairs, Faces, Hammers, Phones |
| Scene Size x Clutter Database | 36 scene categories (12 exemplars each) along 6 levels of size: small to large, and 6 levels of clutter: empty to full |
| Scene Categories by Size | Scene Categories by Size 18 Scene categories (16 exemplars each) along 6 levels of size: small to large |
| Object Size Range | 100 objects ranging in real-world size with corresponding size ranks |
| Object quartets: State x Exemplar and State x Color | 100 sets of 2 states x 2 exemplars, 100 sets of 2 states x 2 colors |
| Object Size Stroop | Sample congruent and incongruent displays from two experiments |
| Continuous sequence of pure tones | 6 contrastive tone difference sound files ~80 seconds long each that elicit pupil dilation at the switch points between tones |
| International Picture Naming Database (IPNP) | Black-and-white line drawings of 520 common objects (including 174 pictures from the Snodgrass & Vanderwart set and other sources.) and an additional 275 transitive and intransitive actions |
| MultiPic | A standardized set of 750 drawings with multilingual norms |
| A Large Dataset of Object Scans | More than 10k 3D scans of real objects |
| Object Interaction Envelope Stimuli & Experiment Data | 360 object images |
| Memory Drawing Data And Scoring Experiments | 2,600+ drawings of scene images, LabelMe annotation data indicating the outlines of the objects in all the original scene stimuli. |
| THINGS object concept and object image database | A database of 1,854 object concepts, 27 high-level categories, and more than 26,000 naturalistic object images |
| PhyloPic | 4000+ silhouette images of animals, plants, and other life forms |
| These Models Aren't Real (only some images available on free plan) | 25,000+ images of generative models |
| Strohminger Grotesque Art Database | ~475 artworks, with ratings on a variety of dimensions (liking, novelty, disgust, and so forth) |
| Strohminger Mirth and Elevation Database | Normed audio clips for inducing two positive emotions, mirth and moral elevation, along with neutral control clips |
| 3D-Object Database | 714 images—up to 11 perspective views of 70 nameable objects |
| Action Database | 3-D coordinate-files and movie-files showing 22 fairly short, well delineated and visually "loopable" actions from various viewpoints |
| KTH-ANIMALS | 19 classes of different animals |
| The Geneva Affective Picture Database (GAPED) | A 730 picture database for emotion induction |
| International Affective Picture System (IAPS) | Pictures: 1196 Categories: Multiple, from furniture to complete scene, wide range of semantic categories. Normative ratings: Valence, arousal, and dominance |
| Nencki Affective Picture System (NAPS) | Pictures: 1356 Categories: people, faces, animals, objects, and landscapes Normative ratings: Valence and arousal |
| Erotic subset of Nencki Affective Picture System (NAPS-ERO) | Pictures: 200 Categories: opposite-sex couple (50), male couple (50), female couple (50), male (25) and female (25; Normative ratings: Valence and arousal |
| Set of Fear Inducing Pictures (NAPS-SFIP) | Pictures: 886 Categories: Spiders, bugs, blood injection, fearful social exposure, angry faces Normative ratings: Fear, arousal and valence |
| Open Affective Standardized Image Set (OASIS) | Pictures: 900 Categories: Animal, Object, Person, Scenery Normative ratings: Valence and arousal |
| Emotional Picture System (EmoPicS) | Pictures: 378 Categories: Diverse social situations animals, and plants Normative ratings: Valence, excitement and complexity |
| Besançon Affective Picture Set-Adolescents (The BAPS-Ado) (aka The Attachment Picture Database (APD)) | Pictures: 93 Categories: Distress, comfort, joy-complicity and neutral Normative ratings: Valence, Arousal and dominance |
| EmoMadrid emotional pictures database | Pictures: 700 Normative ratings: Valence and arousal |
| Military Affective Picture System (MAPS) | Pictures: 240 Categories: Military Normative ratings: Valence, dominance, and arousal |
| Image Stimuli for Emotion Elicitation (ISEE) | Pictures: 10 696 Categories: Pictures with emotional label and categorization from Flickr; Normative ratings: valence, arousal, dominance, and likeness |
| Open Library of Affective Food (OLAF) | Pictures: 95 Categories: Food Normative ratings: pleasure, arousal, dominance, and food craving |
| The DIsgust-RelaTed-Images (DIRTI) | Pictures: 240 Categories: food, animals, body products, injuries/infections, death, and hygiene; Normative ratings: disgust, fear, valence, and arousal |
| Human3.6M | 3.6 million 3D human poses and corresponding images; 11 professional actors (6 male, 5 female); 17 scenarios (discussion, smoking, taking photo, talking on the phone...) |
| Children's drawings | 338 scans of children's drawings of people: man, woman and self, age 3y9m to 8y8m |
| Manmade objects | 72 images of everyday objects such as kettle and torch |
| PCA images | 91 assorted pictures, used for PCA of natural images |
| The Famous Melodies Stimulus Set | 107 melodies |
| Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) | 7356 recordings, gender balanced consisting of 24 professional actors, vocalizing lexically-matched statements in a neutral North American accent |
| Hoosier Vocal Emotions Corpus | 1,763 audio files, split into 73 controlled audio pseudo-words uttered by two actresses in five different emotions (i.e., happiness, sadness, fear, anger, disgust) and in a neutral tone |
| DinoLab Object Database | Normative visual and semantic feature information on 1000 object images, selected to represent a wide range of real-world concepts organized by category |
| Inscapes film | 7-minute computer-generated animation created for children to watch during research brain scans |
| [Video Based Trier Social Stress Test for Children] | 2 videos to induce acute laboratory stress in children |