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Text-fig. 9. Carpolithes (a–r). a–d: Carpolithes sp. 5. USNM PAL 772370. Scale bar = 5 mm, reflected light, palladium coated. a: Lateral view of seed, apex up, possible raphe descending from apex toward viewer. b: Lateral view of seed, apex up, possible raphe on right. c: Lateral view, opposite side, apex up, possible raphe on left. d: Apical view, note central pit with raphe descending towards bottom margin. e–h: Carpolithes sp. 6. USNM PAL 772371. Scale bar = 5 mm. e: Basal view illustrating depression and keel in plane of bisymmetry, reflected light, palladium coated. f–h: Micro-CT scan surface rendering. f: Lateral view showing relatively smooth rounded surface. g: Specimen rotated 180° from (f), surface partially eroded. h: Longitudinal view, showing median keel. i–m: Carpolithes sp. 7 USNM PAL 772372. Scale bar = 5 mm. i: View of intact face of globose fruit, possible apical constriction at top. j: Lateral view, intact surface to right, possible apical constriction at top, both micro-CT scan surface renderings. k: Apical view. l: Face view illustrating the mineral filling and the fine, radiating structure of the fruit wall on the left and right margins, both reflected light, palladium coated. m: Closeup of the cellular layer on the left of (l), micro-CT scan surface rendering. n–p: Carpolithes sp. 8. USNM PAL 772373. Scale bar = 3 mm, reflected light, palladium coated. n: Lateral view of pyrene-like structure, one ridge running vertically in the center of view, the other two forming the left and right margins. o: Lateral view of pyrene-like structure, ridge in (n) on the left. p: End-on view illustrating one convex, one concave, and one relatively flat to very slightly concave face. q, r: Carpolithes sp. 9 USNM PAL 772374. Scale bar = 5 mm, reflected light, palladium coated. q: Exterior of the smooth broken half-sphere. r: Interior of the broken half-sphere. in The Early Middle Eocene Wagon Bed Carpoflora Of Central Wyoming, U.S.A.
Text-fig. 9. Carpolithes (a–r). a–d: Carpolithes sp. 5. USNM PAL 772370. Scale bar = 5 mm, reflected light, palladium coated. a: Lateral view of seed, apex up, possible raphe descending from apex toward viewer. b: Lateral view of seed, apex up, possible raphe on right. c: Lateral view, opposite side, apex up, possible raphe on left. d: Apical view, note central pit with raphe descending towards bottom margin. e–h: Carpolithes sp. 6. USNM PAL 772371. Scale bar = 5 mm. e: Basal view illustrating depression and keel in plane of bisymmetry, reflected light, palladium coated. f–h: Micro-CT scan surface rendering. f: Lateral view showing relatively smooth rounded surface. g: Specimen rotated 180° from (f), surface partially eroded. h: Longitudinal view, showing median keel. i–m: Carpolithes sp. 7 USNM PAL 772372. Scale bar = 5 mm. i: View of intact face of globose fruit, possible apical constriction at top. j: Lateral view, intact surface to right, possible apical constriction at top, both micro-CT scan surface renderings. k: Apical view. l: Face view illustrating the mineral filling and the fine, radiating structure of the fruit wall on the left and right margins, both reflected light, palladium coated. m: Closeup of the cellular layer on the left of (l), micro-CT scan surface rendering. n–p: Carpolithes sp. 8. USNM PAL 772373. Scale bar = 3 mm, reflected light, palladium coated. n: Lateral view of pyrene-like structure, one ridge running vertically in the center of view, the other two forming the left and right margins. o: Lateral view of pyrene-like structure, ridge in (n) on the left. p: End-on view illustrating one convex, one concave, and one relatively flat to very slightly concave face. q, r: Carpolithes sp. 9 USNM PAL 772374. Scale bar = 5 mm, reflected light, palladium coated. q: Exterior of the smooth broken half-sphere. r: Interior of the broken half-sphere.
ESR02 - Workshop demo scan dataset
<p>Sample dataset from the calibration and workflow testing of the 3d scanning and machining setup at CITA, Copenhagen. Scanned with a Faro Focus 3d scanner and converted to .pcd using the PCL library and an in-house plug-in for Faro Scene.</p>
FIGURE 7 in Differentiating convergent pathologies in turtle shells using computed tomographic scanning of modern and fossil bone
FIGURE 7. Location and geologic position of the Woodbine Group. A. General stratigraphic sequence and timescale for the Cretaceous of central and north central Texas showing the position of the Woodbine Group. Position of the AAS within the Woodbine is marked with an arrowhead. Terrestrial deposits represented by stippled intervals. Time scale based on Denne et al. (2016). Modified from Adams et al. (2011). B. Generalized map of geological units present as surface exposures in the Fort Worth basin with location of AAS shown. Modified after Strganac (2015) and Barnes et al. (1972).
FIGURE 4 in Differentiating convergent pathologies in turtle shells using computed tomographic scanning of modern and fossil bone
FIGURE 4. Modern Trachemys scripta plastron elements (UTK 2317) with shell disease. Photograph (A) and orthographic model based on µCT data (B) shown in ventral view. Frames on the photograph and model highlight specific areas of shell disease, shown on the right as both direct µCT data (C, E, G) and heatmapped slices illustrating bone density changes (D, F, H). In the heatmapped cross sections, colors range from purple (lowest density), to orange (medium density), to white (highest density). Patches of shell disease are indicated with purple arrows. Scale bars in A and B equal 5 cm. Scale bars in C, E, and G equal 5 mm.
FIGURE 2 in Differentiating convergent pathologies in turtle shells using computed tomographic scanning of modern and fossil bone
FIGURE 2. Fossil turtle shell fragments (DMNH 2013-07-1319) with putative bite marks. Photographs (A, G) and orthographic models based on µCT data (B, H) shown in external view. Frames on the photograph and model highlight specific areas with bite marks as both direct µCT data (C, E, I) and heatmapped slices illustrating bone density changes (D, F, J). In the heatmapped cross sections, colors range from purple (lowest density), to orange (medium density), to white (highest density). Specific bite marks are indicated with purple arrows. Scale bars in A, B, G, and H equal 2 cm. Scale bars in C, E, and I equal 5 mm.
FIGURE 1 in Differentiating convergent pathologies in turtle shells using computed tomographic scanning of modern and fossil bone
FIGURE 1. Modern Trachemys scripta shell (SAAF) with bite marks attributed to Mecistops cataphractus. Orthographic models of the shell, based on µCT data shown in dorsal (A) and ventral (B) views. Frames on the models highlight specific bite marks, shown on the right as both direct µCT data (C, E, G) and heatmapped slices illustrating bone density changes (D, F, H). In the heatmapped cross sections, colors range from purple (lowest density), to orange (medium density), to white (highest density). Specific bite marks are indicated with purple arrows. Scale bars in A and B equal 5 cm. Scale bars in C, E, and G equal 5 mm.
FIGURE 6 in Differentiating convergent pathologies in turtle shells using computed tomographic scanning of modern and fossil bone
FIGURE 6. Fossil turtle shell fragment (DMNH 2013-07-0563) with putative shell disease.. Photograph (A) shown in external view. Frames on the photograph and highlight specific areas with shell disease as both direct µCT data (B, D) and heatmapped slices illustrating bone density changes (C, E). In the heatmapped cross sections, colors range from purple (lowest density), to orange (medium density), to white (highest density). Specific patches of shell disease are indicated with purple arrows. Scale bar in A equals 2 cm. Scale bars in B and D equal 5 mm.
FIGURE 8 in Differentiating convergent pathologies in turtle shells using computed tomographic scanning of modern and fossil bone
FIGURE 8. Characteristic examples of shell disease and bite marks in modern and fossil turtle shells. Modern shell disease on the plastron of Trachemys scripta, specimen UTK 2317 (A). Modern bite marks (bisected punctures) on the plastron of Trachemys scripta, specimen SAAF unnumbered (B). Fossil shell disease on a fragment of turtle shell, specimen DMNH 2013-07-0563 (C). Fossil bite marks (four scores and one pit) on a fragment of turtle shell, specimen DMNH 2013-07-1319 (D). Scale bars equal 10 mm.
FIGURE 3 in Differentiating convergent pathologies in turtle shells using computed tomographic scanning of modern and fossil bone
FIGURE 3. Fossil turtle shell fragment (DMNH 2013-07-0567) with putative bite marks. Photograph (A) and orthographic model based on µCT data (B) shown in external view. Frames on the photograph and model highlight specific areas with bite marks as both direct µCT data (C, E) and heatmapped slices illustrating bone density changes (D, F). In the heatmapped cross sections, colors range from purple (lowest density), to orange (medium density), to white (highest density). Specific bite marks are indicated with purple arrows. Scale bars in A and B equal 2 cm. Scale bars in C and E equal 5 mm.
FIGURE 5 in Differentiating convergent pathologies in turtle shells using computed tomographic scanning of modern and fossil bone
FIGURE 5. Modern Trachemys scripta plastron and partial carapace elements (UTK 1844) with shell disease. Photograph (A) and orthographic model based on µCT data (B) shown in ventral view. Frames on the photograph and model highlight specific areas of shell disease, shown on the right as both direct µCT data (C, E, G) and heatmapped slices illustrating bone density changes (D, F, H). In the heatmapped cross sections, colors range from purple (lowest density), to orange (medium density), to white (highest density). Patches of shell disease are indicated with purple arrows. Scale bars in A and B equal 5 cm. Scale bars in C, E, and G equal 5 mm.
РИС. 1. ОбЩий вид фиксированных Этанолом глохидиев в световой (А) и сканируюЩий Электронный (В) микроскопы (Amuranodonta kijaensis, бассейн р. Амур, Хинганский Заповедник, АмурскаЯ обл.). МасШтаб 100 мкм. Микроскопы Nikon (А) и Zeiss EVO 40 (B), напыление Золотом FIG. 1. Ethanol-fixed glochidia (Amuranodonta kijaensis, Amur River basin, Khingansky Nature Reserve, Amur Oblast), light (A) and scanning electron (B) microscopes. Scale bar 100 mµ. Light Nikon (A) and scanning electron Zeiss EVO 40 (B) microscopes, sputter coating with gold. in Методика подготовки раковин глохидиев (Bivalvia, Unionidae) длЯ работы на сканируюЩем Электронном микроскопе
РИС. 1. ОбЩий вид фиксированных Этанолом глохидиев в световой (А) и сканируюЩий Электронный (В) микроскопы (Amuranodonta kijaensis, бассейн р. Амур, Хинганский Заповедник, АмурскаЯ обл.). МасШтаб 100 мкм. Микроскопы Nikon (А) и Zeiss EVO 40 (B), напыление Золотом FIG. 1. Ethanol-fixed glochidia (Amuranodonta kijaensis, Amur River basin, Khingansky Nature Reserve, Amur Oblast), light (A) and scanning electron (B) microscopes. Scale bar 100 mµ. Light Nikon (A) and scanning electron Zeiss EVO 40 (B) microscopes, sputter coating with gold.
РИС. 8. Примеры проблем с иЗображением при работе на СЭМ. А, В. Засветка раЗличных частей раковин глохидиев (А. Anodonta anatina (=Colletopterum), оЗ. Красное, ХакасиЯ. В. Inversiunio reinianus, оЗ. Бива, о-в Хонсю, ЯпониЯ). C. РаЗнаЯ скорость сканированиЯ (слева – очень быстраЯ, справа – медленнаЯ) наружной поверхности глохидиЯ (Anodonta cygnea, р. Ялма, МосковскаЯ обл.). D. Артефакты в виде гориЗонтальных полос вследствие накоплениЯ отрицательного ЗарЯда при недостаточном напылении внутренней поверхности глохидиЯ (Nodularia douglasiae, ПетровскаЯ протока, бассейн р. Амур, Хабаровский кр.). МасШтаб 50 мкм (А, В), 2 мкм (С), 5 мкм (D). Микроскопы Zeiss EVO 40 (А, С, D), Zeiss MERLIN (В), напыление углеродом (А, С), хромом (В, D). FIG. 8. Illustration of different problems with SEM images. A, B. Overall illumination of some glochidia shells parts (A. Anodonta anatina (= Colletopterum), Krasnoe Lake, Khakassia. B. Inversiunio reinianus, Biwa Lake, Honshu Island, Japan). C. Different scanning speed (faster on the left and slower on the right) of the exterior glochidia valve (Anodonta cygnea, Yalma River, Moscow Oblast). D. Artifacts as horizontal stripes because of additional accumulation of a negative charge due to insufficient coating of the interior glochidia valve (Nodularia douglasiae, Petrovskaya channel, Amur River basin, Khabarovsk Krai). Scale bars 50 μm (A, B), 2 μm (C), 5 μm (D). Zeiss EVO 40 (A, C, D) and Zeiss MERLIN (B) microscopes, sputter coating with carbon (A, C) and chromium (B, D). in Методика подготовки раковин глохидиев (Bivalvia, Unionidae) длЯ работы на сканируюЩем Электронном микроскопе
РИС. 8. Примеры проблем с иЗображением при работе на СЭМ. А, В. Засветка раЗличных частей раковин глохидиев (А. Anodonta anatina (=Colletopterum), оЗ. Красное, ХакасиЯ. В. Inversiunio reinianus, оЗ. Бива, о-в Хонсю, ЯпониЯ). C. РаЗнаЯ скорость сканированиЯ (слева – очень быстраЯ, справа – медленнаЯ) наружной поверхности глохидиЯ (Anodonta cygnea, р. Ялма, МосковскаЯ обл.). D. Артефакты в виде гориЗонтальных полос вследствие накоплениЯ отрицательного ЗарЯда при недостаточном напылении внутренней поверхности глохидиЯ (Nodularia douglasiae, ПетровскаЯ протока, бассейн р. Амур, Хабаровский кр.). МасШтаб 50 мкм (А, В), 2 мкм (С), 5 мкм (D). Микроскопы Zeiss EVO 40 (А, С, D), Zeiss MERLIN (В), напыление углеродом (А, С), хромом (В, D). FIG. 8. Illustration of different problems with SEM images. A, B. Overall illumination of some glochidia shells parts (A. Anodonta anatina (= Colletopterum), Krasnoe Lake, Khakassia. B. Inversiunio reinianus, Biwa Lake, Honshu Island, Japan). C. Different scanning speed (faster on the left and slower on the right) of the exterior glochidia valve (Anodonta cygnea, Yalma River, Moscow Oblast). D. Artifacts as horizontal stripes because of additional accumulation of a negative charge due to insufficient coating of the interior glochidia valve (Nodularia douglasiae, Petrovskaya channel, Amur River basin, Khabarovsk Krai). Scale bars 50 μm (A, B), 2 μm (C), 5 μm (D). Zeiss EVO 40 (A, C, D) and Zeiss MERLIN (B) microscopes, sputter coating with carbon (A, C) and chromium (B, D).
Lidar Scans of the White River near Worthington, Indiana, U.S.A.: Supporting data for Martin et al. (2024)
<p>Supporting data for the manuscript "Four years of meander-bend evolution captured by drone-based lidar reveals lack of width maintenance on the White River, Indiana, USA" by Harrison K Martin, Douglas A Edmonds, and Quinn W Lewis. As of June 2024, the manuscript has been published in the <em>Journal of Geophysical Research: Earth Surface</em> and is available here: <a href="https://doi.org/10.1029/2023JF007574">https://doi.org/10.1029/2023JF007574</a>. You can find additional details in the Supplemental Information for that paper.</p> <p>Also of interest may be another recently published manuscript (in <em>Earth Surface Processes and Landforms</em>) on a pair of failed dams from central Michigan where we quantified topographic change using lidar change detection. On that study, we compared an airborne pre-flood survey to three post-flood drone-based lidar surveys we collected. The methods employed were not identical to this study (namely, there we used a point cloud to point cloud differencing method rather than the differences of DEMs used here), but there could be some helpful information in that manuscript's Supporting Info. It's available here: <a href="https://doi.org/10.1002/esp.5855">https://doi.org/10.1002/esp.5855</a>.</p> <p> </p> <p>In this repository you will find 22 bare-earth Digital Elevation Models (DEMs) of a single river bend on the meandering White River near Worthington, IN. The scans were collected over a period of ~4.5 years between April 2018 and November 2022 -- not coincidentally, nearly the same span of time as my PhD. Each DEM attempts to present the bare earth as if the vegetation were not present; the algorithms and trimming do a better job on tall, forested canopies (such as the northeastern-most part of the point bar) than on short, dense, shrubby grasses (such as certain parts of the cutbank or where crops were grown). The vegetation noise and artifacts will be the greatest in the summer months and the least in the winter. The point bar surface was always well-resolved. The actual river/water surface itself was masked out manually for each of the 22 scans, with null values defined for these and other no-data areas. The filename of each scan describes the date of collection. The cell size for each raster is 25 cm and was created by exporting a triangular lattice constructed from a ground-classified point cloud with a maximum length of 10 meters. Because of this, areas with very low point density (such as the outer boundaries of each scan, outside of the areas where we wanted to measure geomorphic changes) appear to be made of large triangles, and should not be trusted. The CRS for each is NAD83 / UTM zone 16N [https://epsg.io/26916].</p> <p> </p> <p>Please do not hesitate to reach out with any questions, requests, etc! I'm pretty responsive by email (hkm@caltech.edu) and website form (https://harrison.studies.rocks). If you have any questions about the methods, setting up your own drone-based lidar program, or are struggling with some of the arcane software and quirks of this sort of workflow... there is a chance that I've struggled through it before and am happy to share whatever I have learned!</p> <p> </p> <p>Thanks for stopping by!</p> <p> </p> <p>Acknowledgements:</p> <p>A big thanks is owed to Steve Scott of Indiana University, our stalwart drone pilot without whom none of this would have been possible. HKM was supported by National Aeronautics and Space Administration (NASA) Future Investigators in NASA Earth and Space Science and Technology (FINESST) grant 80NSSC21K1598 and a California Institute of Technology Geological and Planetary Sciences Geology Option Postdoctoral position. DAE was supported by National Sciences Foundation grant EAR-2321056. QWL was supported by a University of Waterloo New Faculty Starter Grant. All authors were supported by the Environmental Resilience Institute, funded by Indiana University’s Prepared for Environmental Change Grand Challenge initiative.</p> <p> </p> <p>UPDATES: <br>- 2024-04-29: Added Supporting Tables S1-S6.<br>- 2024-05-04: Updated some column headers in Supporting Tables S1-S6.<br>- 2024-05-08: Made public, updated the first paragraph (including changing manuscript status to accepted), and added contact information for further inquiries.<br>- 2024-06-20: Added DOI link to published manuscript in JGR:ES. Added a reference to our ESPL paper for those interested in more methodology details. Expanded the description of how the data were collected and processed, as well as my contact information, to make the repository a bit more user-friendly.</p>
Рис. 4. Микроскульптура наружной поверхности глохидиальных створок перловиц Nodularia biwae (A, D – увеличенный фрагмент) и Lanceolaria grayana (B, C – увеличенный фрагмент) иЗ Японии, о-в Хонсю. СканируюЩаЯ ЭлектроннаЯ микроскопиЯ. МасШтаб 1 мкм (А, В) и 2 мкм (C, D). Fig. 4. Microsculpture of external surface of glochidia of mussels Nodularia biwae (A, D – fragment) and Lanceolaria grayana (B, C – fragment) from Honshu Is., Japan. Scanning electron microscopy. Scale bar 1µm (А, В) and 2 µm (C, D). in Morphology of glochidia of the freshwater mussels Nodularia amurensis and Middendorffinaia sujfunensis (Bivalvia: Unionidae: Nodulariinae) from the Russian Far East
Рис. 4. Микроскульптура наружной поверхности глохидиальных створок перловиц Nodularia biwae (A, D – увеличенный фрагмент) и Lanceolaria grayana (B, C – увеличенный фрагмент) иЗ Японии, о-в Хонсю. СканируюЩаЯ ЭлектроннаЯ микроскопиЯ. МасШтаб 1 мкм (А, В) и 2 мкм (C, D). Fig. 4. Microsculpture of external surface of glochidia of mussels Nodularia biwae (A, D – fragment) and Lanceolaria grayana (B, C – fragment) from Honshu Is., Japan. Scanning electron microscopy. Scale bar 1µm (А, В) and 2 µm (C, D).
3D Laser Scanning Data: Public Square in Murcia and Engineering Laboratory at the University of Alicante
<p>This dataset includes 3D terrestrial laser scans obtained using the Leica C10 ScanStation. The data covers two distinct scenarios:</p> <ol> <li> <p><strong>Public Square in Murcia Capital</strong>: This dataset includes two scan positions within a public square located in Murcia. Three HDTarget markers were placed, and their center or vertex coordinates are provided in the accompanying _vertices.txt file. The scans were conducted with the laser scanner leveled, but they are not registered.</p> </li> <li> <p><strong>Engineering Laboratory at the University of Alicante</strong>: This dataset consists of two scans of the Ground Engineering Laboratory at the University of Alicante. The scans were conducted with the same leveled laser scanner, and no targets were used. Between the two scans, some elements in the laboratory were slightly moved, which can be identified by comparing the point clouds.</p> </li> </ol>
Fig. 8 in Impact of increasing morphological information by micro-CT scanning on the phylogenetic placement of Darwin wasps (Hymenoptera, Ichneumonidae) in amber
Fig. 8 Holotype of Rhyssa gulliveri sp. nov. A Habitus of specimen, lateral view. B Rugae dorsally on mesoscutum. C Face, anterior view, partially hidden by spider inclusion and milky coatings. D Face, more laterally with visible mandibles. E First tergite on metasoma, lateral view. F Head and mesoscutum, dorsal view. G Interpretative drawing with an additional drawing of the propodeum and T1 in dorsal view, where photos and micro-CT scan were used as templates. Scale bar A: 2 mm, B and C: 1 mm, D: upper 1 mm, lower 2 mm
Fig. 7 in Impact of increasing morphological information by micro-CT scanning on the phylogenetic placement of Darwin wasps (Hymenoptera, Ichneumonidae) in amber
Fig. 7 Holotype of Firkantus freddykruegeri gen. et sp. nov. A Habitus of specimen, lateral view. B Anterior view of face, right side with facial structures indicated. C Fore wing with folds indicating wing venation. D Anterior part of metasoma, dorsal view. E Posterior part of metasoma, with parameters and aedeagus. F Interpretative drawing with an additional drawing of the propodeum and T1 in dorsal view, where photos and micro-CT scan were used as templates. Scale bar A: 1 mm, B: 0.5 mm, F: lower 1 mm, right 0.5 mm
Fig. 3 in Impact of increasing morphological information by micro-CT scanning on the phylogenetic placement of Darwin wasps (Hymenoptera, Ichneumonidae) in amber
Fig. 3 RoguePlot placement of Pimplinae fossil Firkantus freddykruegeri gen. et sp. nov. before and after micro-CT scanning. The plots include all branches from the majority-rule consensus tree where the attachment probability was higher than 1%. A Firkantus freddykruegeri gen. et sp. nov. with colours indicating newly revealed body characteristics. Blue colouration represents newly added measurements; orange highlights either newly coded characters or characters where states could be reduced after the CT scan. B Placement before CT scanning. C Placement after CT scanning
Fig. 6 in Impact of increasing morphological information by micro-CT scanning on the phylogenetic placement of Darwin wasps (Hymenoptera, Ichneumonidae) in amber
Fig. 6 Holotype of Triclistus levii sp. nov. A Partial fore wing. B Metasoma, posterior end with the parameres. C Habitus of specimen, lateral view. D Head and mesoscutum, dorsal view. E Head. F Interpretative drawing with an additional drawing of the propodeum and T1, in dorsal view, where photos and micro-CT scan were used as templates. Scale bars A: 1 mm, B: 0.5 mm C: 1 mm F: bottom 1 mm, top right 0.5 mm
Fig. 9 in Impact of increasing morphological information by micro-CT scanning on the phylogenetic placement of Darwin wasps (Hymenoptera, Ichneumonidae) in amber
Fig. 9 Holotype Magnocula sarcophaga gen. et sp. nov. A Habitus of specimen, ventral view. B Habitus of holotype, lateral view. CT scan of C head and mesoscutum in dorsal view, D face in anterior view, and E last tergites with ovipositor and sheaths. F Photo of a partial fore wing, in top left is T2 with its rugopunctate to striate structure. G Interpretative drawing with an additional drawing of the propodeum and T1 in dorsal view, where photos and micro-CT scan were used as templates. Scale bar A: 1 mm, F: 0.5 mm G: lower 1 mm, right 0.5 mm
ScienceDex guides
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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.