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mass properties in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex
mass properties
Figure 4 in Long-bone geometry in columnar-limbed animals: allometry of the proboscidean appendicular skeleton
Figure 4. Branch-length standardizations for the total sample of proboscideans. A, humerus (log transformed branch lengths, r = 0.025); B, ulna (cube root transformed branch lengths, r = 0.010); C, femur (Pagel's arbitrary transformation method, r = 0.052); D, tibia (square root transformed branch lengths, r = 0.028).
Paraquat residues in soya products intended for animal feed (monitoring results from 2018-2019)
<p>Monitoring results for paraquat residues in soya products intended for animal feed. 174 samples were analyzed in 2018 and 2019.</p>
EXPLICATION DE LA PLANCHE XVI Learchis indica Bgh. Fig. 1. Mandibule droite, dessinée à la chambre claire, vue du côté interne. X 100. a, partie cardinale. b, prolongement masticateur. c, cavité buccale latérale. Fig. 2. Bord antérieur de la mandibule gauche, vue du côté interne. Cam. lue, X 200. a et b, comme ci-dessus. Fig. 3. Partie de la radule avec plaques dentaires. Cam. lue, X 350. Fig. 4. La même, vue d'en haut. Même grossissement. Mijja longicornis Bgh. Fig. 5. Animal vu du côté dorsal. (Dessin original d'après l'animal vivant.) Fig. 6. Extrémité d'une papille dorsale. (Dessin original.) Fig. 7. Papille. Cam. lue, X 55. a, grande papille avec deux follicules hépatiques. Fig. 8. Anus, en forme de coupe; b, ouverture du rein. Fig. 9. Cnidae. Cam. lue, X350. Fig. 10. Système nerveux central, vu d'en haut et de derrière. Cam. lue, X 200. a, ganglions cérébro-pleuraux. b, ganglions pédieux. ce, ganglions rhinophoriaux (olfactifs). d, ganglions buccaux (et gastro-oesophagiens) Fig'. 11. Langue avec la radule, vue de côté. Cam. lue, X 350. Fig. 12. Une partie de la radule. Cam. lue, X 350. Fig. 13. Plaque dentaire, vue d'en haut. Cam. lue, X 350. Ennoia briareus Bgh. Fig. 14. L'animal vu du côté dorsal. (Dessin original d'après l'animal vivant.) Fig. 15. Partie de la radule avec plaques dent aires, vue de côté. Cam. lue, X350. in Eolidiens d'Amboine
EXPLICATION DE LA PLANCHE XVI Learchis indica Bgh. Fig. 1. Mandibule droite, dessinée à la chambre claire, vue du côté interne. X 100. a, partie cardinale. b, prolongement masticateur. c, cavité buccale latérale. Fig. 2. Bord antérieur de la mandibule gauche, vue du côté interne. Cam. lue, X 200. a et b, comme ci-dessus. Fig. 3. Partie de la radule avec plaques dentaires. Cam. lue, X 350. Fig. 4. La même, vue d'en haut. Même grossissement. Mijja longicornis Bgh. Fig. 5. Animal vu du côté dorsal. (Dessin original d'après l'animal vivant.) Fig. 6. Extrémité d'une papille dorsale. (Dessin original.) Fig. 7. Papille. Cam. lue, X 55. a, grande papille avec deux follicules hépatiques. Fig. 8. Anus, en forme de coupe; b, ouverture du rein. Fig. 9. Cnidae. Cam. lue, X350. Fig. 10. Système nerveux central, vu d'en haut et de derrière. Cam. lue, X 200. a, ganglions cérébro-pleuraux. b, ganglions pédieux. ce, ganglions rhinophoriaux (olfactifs). d, ganglions buccaux (et gastro-oesophagiens) Fig'. 11. Langue avec la radule, vue de côté. Cam. lue, X 350. Fig. 12. Une partie de la radule. Cam. lue, X 350. Fig. 13. Plaque dentaire, vue d'en haut. Cam. lue, X 350. Ennoia briareus Bgh. Fig. 14. L'animal vu du côté dorsal. (Dessin original d'après l'animal vivant.) Fig. 15. Partie de la radule avec plaques dent aires, vue de côté. Cam. lue, X350.
Assessment of animal diseases caused by bacteria resistant to antimicrobials: Swine - Appendix B: Excel file with all data extracted
<p>Information on all the full-text studies that were assessed, including the reason for exclusion for those that were excluded at the full-text screening and the data extracted from the included studies, can be consulted here. </p> <p>The extensive literature review was carried out by the University of Copenhagen under the contract OC/EFSA/ALPHA/2020/02 – LOT 1 (https://ted.europa.eu/udl?uri=TED:NOTICE:457654-2020:TEXT:EN:HTML)</p>
Assessment of animal diseases caused by bacteria resistant to antimicrobials: Poultry- Appendix B: Excel file with all data extracted
<p>Information on all the full-text studies that were assessed, including the reason for exclusion for those that were excluded at the full-text screening and the data extracted from the included studies, can be consulted here. </p> <p>The extensive literature review was carried out by the University of Copenhagen under the contract OC/EFSA/ALPHA/2020/02 – LOT 1 (https://ted.europa.eu/udl?uri=TED:NOTICE:457654-2020:TEXT:EN:HTML)</p>
Data from: Overall dynamic body acceleration measures activity differently on large vs small aquatic animals
<p>Acceleration-based proxies for activity and energy expenditure are widely used in bio-logging studies of animal movement and locomotion to explore biomechanical strategies, energetic costs of behaviour, habitat use and the impact of anthropogenic disturbance. The foremost such proxy is Overall Dynamic Body Acceleration (ODBA) along with variants VeDBA and PDBA. This technique, which involves summing the magnitude of high-pass-filtered acceleration signals (the so-called dynamic acceleration) over a reference interval, has been applied to animals as diverse as shags, lobsters, humans and whales. The relationship between ODBA and energy use has been tested empirically on animals small enough to house in laboratory facilities and arguments have been offered for why the method should be generally applicable, however validations on larger animals are scant.</p> <p><span>Here, we examine how body size impacts ODBA and its variants under steady locomotion in large aquatic animals, using cetaceans as model species. To do this, we first develop a simplified mathematical model for the acceleration signals that would be measured by a tag on a swimming animal. We then test this model with empirical data gathered using bio-logging tags on whale species covering nearly an order of magnitude difference in body length from 1.3 m harbour porpoises to 12 m sperm whales.</span></p> <p><span>We show that the motions measured by ODBA can be fundamentally different in small compared to large aquatic animals. Whereas dynamic acceleration in small animals is predominantly due to specific acceleration (i.e., actual accelerative motions generated by muscle action), in larger aquatic animals body rotations (i.e., changes in orientation that accompany swimming and manoeuvring) can dominate the measured acceleration. </span></p> <p><span>As body rotations do not necessarily increase in magnitude as swimming speed increases, ODBA may under-estimate the relative cost of behaviours or responses to disturbance in large aquatic animals. This does not lessen the value of ODBA for small animals, but it raises a caution against uncritical use on larger animals. For large aquatic animals, activity proxies that specifically remove body rotations using gyroscopes or magnetometers may provide more consistent estimates of energy use although these methods are yet to be validated.</span></p>
Data from: The travel speeds of large animals are limited by their heat-dissipation capacities
<div> <h2>Purpose</h2> <p>This is an extension of the travel speed dataset published by Dyer et al. 2023 in PLOS Biology that includes additional metadata. Data follow the same aggregation to species level by grouping records across unique combinations of study and species while preserving variation across important categorical covariates (listed below). </p> </div> <div> <h2>Scripts</h2> <ul> <li><code>scripts/modelling/fit_model.R</code>: Fits mechanistic locomotion models to aggregated data using RStan. Plots predictions and outputs parameter estimates of competing models.</li> </ul> </div> <div> <h2>Data Columns</h2> <p>Each heading below describes a column of the travel speed dataset.</p> <p><strong>move_speed_ref</strong>: Unique reference number for each study reporting animal travel speed. The corresponding references are contained within the supplementary reference list file.</p> <p><strong>move_mass_ref</strong>: Unique reference number for each study reporting animal body mass. The corresponding references are contained within the supplementary reference list file.</p> <p><strong>scientific_name</strong>: Scientific name of the species according to the taxonomy of the Global Biodiversity Information Facility (accessed via GBIF.org during 2022). A small number of studies that report only the genus name or common name of the species are reported in our dataset as <em>Genus sp.</em> (e.g. <em>Gazella sp.</em>). One study, which estimated the travel speed and body mass of an unknown species of mouse via camera traps, is reported in our dataset as <em>Amazon mouse sp.</em></p> <p><strong>move_movement_mode</strong>: Categorical value indicating whether the reported travel speed corresponds to an animal engaged in flying, running, or swimming. This allows species to be accommodated that are capable of multi-modal locomotion (e.g. northern elephant seal, <em>Mirounga angustirostris</em>).</p> <p><strong>taxon_group</strong>: Categorical value indicating membership to one of eight animal groups (amphibian, arthropod, cnidarian, bird, fish, mammal, mollusc, reptile).</p> <p><strong>thermo_reg</strong>: Categorical value indicating thermoregulatory strategy, i.e. the contribution of metabolic heat production to the maintenance of core body temperature during rest:<br>- <strong>ectotherm</strong>: negligible contribution, body temperature matches ambient temperature<br>- <strong>mesotherm</strong>: weak contribution with partial thermal stability, as in tunas, lamnid sharks, and leatherback sea turtles<br>- <strong>endotherm</strong>: strong contribution with metabolic stability even when ambient temperatures are significantly below body temperature</p> <p><strong>move_medium</strong>: Categorical value indicating whether the animal’s travel speed was measured during locomotion within the terrestrial realm (air) or aquatic realm (water).</p> <p><strong>move_speed_method</strong>: Categorical value indicating whether travel speed was estimated directly (i.e. instantaneously via direct observation in real-time, animal-attached speedometer, or video recording) or indirectly from higher-resolution telemetry data (i.e. from changes in an animal’s spatial coordinates at intervals < 30 minutes apart).</p> <p><strong>move_study_condition</strong>: Categorical value indicating whether travel speed was estimated under natural field conditions or under a controlled laboratory setting such as within an aquarium or mesocosm. Travel speeds of the smallest animals (e.g. arthropods) can only feasibly be estimated within a controlled setting.</p> <p><strong>move_avgspeed_value</strong>: Categorical value indicating whether average travel speed was reported as a mean or median within the original study.</p> <p><strong>move_bodymass_kg</strong>: Continuous value indicating the average adult body mass (units: kilograms) of the species. In cases where the study’s reference numbers <code>move_speed_ref</code> and <code>move_mass_ref</code> differ, we referred to secondary literature sources to assign the average adult body mass of the species. In cases where only body length was given, we used published allometric equations to estimate the wet body mass.</p> <p><strong>move_avgspeed_ms</strong>: Continuous value indicating the average (geometric mean) travel speed (units: metres per second) of the species reported within the study.</p> <p><strong>move_speed_source</strong>: Categorical value indicating the sampling level at which travel speed measurements were reported within the study.<br>- <code>indv</code>: travel speed reported from an individual animal. - <code>avgs</code>: travel speed reported as an average (mean or median) across multiple individuals from the same species.</p> <p><strong>move_individuals_n</strong>: Integer value indicating the number of individual animals from which travel speed measurements were obtained within the study.</p> <p><strong>move_measurements_n</strong>: Integer value indicating the number of travel speed measurements taken across individuals within the study. This value can exceed <code>move_individuals_n</code> when repeated measurements were made from the same individuals.</p> <p><strong>move_ygeo_min</strong>: Continuous value indicating the minimum reported latitude (decimal degrees) of the study location(s).</p> <p><strong>move_ygeo_max</strong>: Continuous value indicating the maximum reported latitude (decimal degrees) of the study location(s).</p> <p><strong>move_xgeo_min</strong>: Continuous value indicating the minimum reported longitude (decimal degrees) of the study location(s).</p> <p><strong>move_xgeo_max</strong>: Continuous value indicating the maximum reported longitude (decimal degrees) of the study location(s).</p> <p><strong>move_date_min</strong>: Earliest reported date of data collection within the study (format: YYYY-MM-DD).</p> <p><strong>move_date_max</strong>: Latest reported date of data collection within the study (format: YYYY-MM-DD).</p> <p><strong>move_study_country</strong>: Country in which the study was conducted.</p> <p><strong>move_study_location</strong>: A description of the study location.</p> </div> <div> <h2>Version Notes</h2> <p>This updated version of the travel speed dataset extends the aggregated dataset published in <br>Dyer et al. 2023, PLOS Biology<strong> </strong>through the inclusion of additional metadata fields.<br>Metadata follow the same aggregation to species level by grouping records across unique combinations of study and species while preserving variation across important categorical covariates (listed above).</p> <div> <h3>Key Updates</h3> <ul> <li><strong>Added spatial metadata</strong>: minimum and maximum latitude/longitude, study country, and study location.</li> <li><strong>Added temporal metadata</strong>: earliest and latest reported dates of data collection (YYYY-MM-DD).</li> <li><strong>Refined sampling information</strong>: number of individuals (<code>move_individuals_n</code>) and number of speed measurements (<code>move_measurements_n</code>) are now reported, where available.</li> </ul> </div> </div>
Datasets of Fornoni et al. FREQUENCY DEPENDENT SELECTION AND THE EVOLUTION OF RECIPROCAL EXPLOITATION IN PLANT-ANIMAL INTERACTIONS.
<p>Datasets and RMarkdown</p> <p><span lang="EN-GB">Paper title: FREQUENCY DEPENDENT SELECTION AND THE EVOLUTION OF RECIPROCAL EXPLOITATION IN PLANT-ANIMAL INTERACTIONS.</span></p> <p><span lang="EN-GB">Authors: </span><span lang="ES-MX">Juan Fornoni, </span><span lang="EN-GB">Sergio Ramos, Roberto Alvarez-Martínez, Carlos Cordero, </span><span lang="EN-GB">and César A. Domínguez</span></p>
Figure 2 from: Szyszko J, Schwerk A, Malczyk J (2011) Animals as an indicator of carbon sequestration and valuable landscapes. ZooKeys 100: 565-573. https://doi.org/10.3897/zookeys.100.1547
Figure 2 - Succession of carbon content (left y-axis and black line) and species diversity (right y-axis and striped line) in a stand after the destruction of the trees by fire. After the fire, the carbon content is low with Cicindela hybrida and the sticky bun (Suillus luteus) as characteristic species (left photographs). In 100 years old stands the carbon content is high with Carabus intricatus and the dotted stem bolete Boletus erythropus as characteristic species (right photographs) (from Szyszko 2007).
Figure 3 from: Szyszko J, Schwerk A, Malczyk J (2011) Animals as an indicator of carbon sequestration and valuable landscapes. ZooKeys 100: 565-573. https://doi.org/10.3897/zookeys.100.1547
Figure 3 - a Relationship between the age of a forest stand and thickness of the litter layer b relationship between the thickness of the litter layer and the weight of carbon per 1 sq. m (from Szyszko et al. 2003).
Figure 6 from: Szyszko J, Schwerk A, Malczyk J (2011) Animals as an indicator of carbon sequestration and valuable landscapes. ZooKeys 100: 565-573. https://doi.org/10.3897/zookeys.100.1547
Figure 6 - Landscape species in a heterogenous landscape. The lesser spotted eagle (Aquila pomarina) nests in old trees in natural and cultivated forests, and hunts in wastelands. The crane (Grus grus) nests in peat bogs and hunts in wastelands. The kestrel (Falco tinnunculus) nests in old trees in natural and cultivated forests and hunts in clear-cut areas. The black stork (Ciconia nigra) nests in old trees in natural and cultivated forests and hunts in peat bogs (from Szyszko 2007).
Figure 1 from: Szyszko J, Schwerk A, Malczyk J (2011) Animals as an indicator of carbon sequestration and valuable landscapes. ZooKeys 100: 565-573. https://doi.org/10.3897/zookeys.100.1547
Figure 1 - A natural forest with a carbon content within the limit of 350 tons per ha and a mean individual biomass (MIB) for carabid beetles exceeding 350 mg and with species characteristic for that environmental system. Lucanus cervus – a species linked to old decaying oak wood (top right), Cerambyx cerdo – a species linked to living old oaks (top left), Boletus erythropus – a mycorrhizal species occurring in soils with a historically well developed soil profile (bottom right), Carabus intricatus – a species occurring in old forest environmental systems with an easily decomposing duff (bottom left).
Figure 5 from: Szyszko J, Schwerk A, Malczyk J (2011) Animals as an indicator of carbon sequestration and valuable landscapes. ZooKeys 100: 565-573. https://doi.org/10.3897/zookeys.100.1547
Figure 5 - Examples of several habitats with different carbon contents and different characteristic carabid species, building a heterogenous landscape. Top left – a natural forest with a carbon content of 350 ton per ha with Carabus coriaceus, top right – arable land with a carbon content 20 tons per ha with Cicindela campestris, in the middle – a peatbog with a very high content of carbon per ha with Panagaeus bipustulatus, bottom left – a clear-cut with a carbon content of ca. 90 tons per ha with Harpalus rufitarsis, Bottom right – a timber stand with the carbon content 124 tons with Carabus nemoralis (from Szyszko 2007).
Figure 4 from: Szyszko J, Schwerk A, Malczyk J (2011) Animals as an indicator of carbon sequestration and valuable landscapes. ZooKeys 100: 565-573. https://doi.org/10.3897/zookeys.100.1547
Figure 4 - The occurrence of characteristic birds, carabid beetles and fungi as well as the structure of the carbon content in tons per ha in a forest stand, litter and mineral soil up to 10 cm in depth in a: a 10 year old pine stand with a MIB value of about 50 mg, created after the clear-cut of a timber pine stand (more than 100 years old) b ca. 60 year old pine stand with a MIB value about 250 mg. c ca. 80 year old beech stand created from the undergrowth after the clear-cut of a pine stand with a MIB value of about 350 mg. In all graphs the annual accumulation of carbon in that stand, the value of such accumulation and the value of the entire carbon content (forest stand + litter + mineral soil) are expressed in carbon dioxide at the prices of the European Emission Trade System on 15.08.2008 (all graphs from Szyszko 2007).
Figure 22-27 from: Marek P, Shear W, Bond J (2012) A redescription of the leggiest animal, the millipede Illacme plenipes, with notes on its natural history and biogeography (Diplopoda, Siphonophorida, Siphonorhinidae). ZooKeys 241: 77-112. https://doi.org/10.3897/zookeys.241.3831
Figure 22-27 - 22 Lateral view of fifth metatergite and prozonite (♂).Square, prozonite highly sculptured, with 5 rows of discoidal flat tubercles; anterior 3 rows staggered and posterior 2 rows aligned. Scale bar 0.1 mm. 23 Ventral view of mid-length sternites, pleurites and legs (♂).Left and right pleurites broadly overlapping sternite, covering spiracles. Scale bar 0.3 mm. 24 Ventral view of mid-length sternites and leg bases (♂). a Medial sternal ridge projecting ventrally, with spiracles and legs oriented ventrally b Eversible sacs membranous, bulging slightly from opening. Scale bar 0.1 mm. 25 Oblique (right) lateral view of sterna and spiracle (♂). Square, spiracles circular, orifice open; oriented dorsally above legs. Scale bar 0.05 mm. 26Ventral (right) view of legs, with posteroventral eversible sac opening (♂). Arrow, large posteroventral D-shaped opening for eversible sac. Scale bar 0.1 mm. 27 Oblique (right) lateral view of pregonopodal legs (♂).Arrow, pregonopodal tarsus with stout bifurcate claw. Scale bar 0.1 mm.
Figure 16-21 from: Marek P, Shear W, Bond J (2012) A redescription of the leggiest animal, the millipede Illacme plenipes, with notes on its natural history and biogeography (Diplopoda, Siphonophorida, Siphonorhinidae). ZooKeys 241: 77-112. https://doi.org/10.3897/zookeys.241.3831
Figure 16-21 - 16 Ventral view of segments (♂). a Lateral tergal and pleural carinae jagged, pronounced on midbody segments b Pleurite medial margin broad, with scaly carina c Postgonopodal tarsus with thinner claw and without bifurcation, but with stout seta. Scale bar 0.4 mm. 17 Dorsal view of segments (♂). a Metazonite posterior margin (limbus) lined with posteriorly projecting anchor-shaped spikes and a row of conical spikes just dorsal to anchor-shaped spikes b 3 or 4 stout flat tubercles opposite ozopore near anterior margin, lunate arrangement encircling ozopore. Scale bar 0.4 mm. 18 Dorsal view of tergites (♂). Square, tergal setae tipped with silk-like exudate, tangled, appearing adhered to neighboring setae. Scale bar 0.05 mm. 19 Dorsal view of left ozopore (♂).Square, ozopores elevated slightly, with 2 stout posteriorly projecting spines and encircled by 13 – 15 robust setae. Scale bar 0.05 mm. 20 Right lateral view of posterior segments and telson (♂). Arrow, tergites, pleurites and sternites separated by arthrodial membrane. Scale bar 0.4 mm. 21 Oblique (right) ventrolateral view of 2 apodous segments, telson, hypoproct and paraprocts (♂).Apodous segments lacking sterna, pleurites contiguous in midline. Apodous tergites densely setose, covered with unevenly distributed spikes. Scale bar 0.2 mm.
Figures 10-15 from: Marek P, Shear W, Bond J (2012) A redescription of the leggiest animal, the millipede Illacme plenipes, with notes on its natural history and biogeography (Diplopoda, Siphonophorida, Siphonorhinidae). ZooKeys 241: 77-112. https://doi.org/10.3897/zookeys.241.3831
Figures 10-15 - 10 Ventral in situ view of gonopods (♂). Arrow, anterior gonopod thick, more robust than posterior gonopod. Scale bar 0.1 mm 11 Medial view of right gonopods (♂). Arrow, Anterior gonopodal apex (podomere 6) shovel-shaped; in repose cupped sheath-like around flagelliform posterior gonopodal apex (podomere 6). Scale bar 0.05 mm. 12 Oblique (right) view of right posterior gonopodal apex (♂). 2 dorsal-most, longest articles laminate distally and recurved laterally, with denticulate posterior margins appearing claw-like. Scale bar 0.02 mm. 13 Antennomere 7 apex (♂). a Four apical cones (AS) oriented in a trapezoidal cluster on 7th antennomere, with longitudinally grooved outer surface and apical circular invagination b Spiniform basiconic sensilla (Bs3) in cluster of 5, oriented apical dorsally on 7th antennomere; tips facing apical cones (on longitudinal axis with Bs2 on antennomeres 5, 6); each sensillum with 2 barbules. Scale bar 0.02 mm.14 Lateral (right) view of right antenna (♂). a Chaetiform sensilla (CS) widely spaced on antennomeres 1-7, each sensillum with 2 or 3 barbules b Trichoid sensilla (TS) oriented apically encircling antennomeres 1–7, lacking barbules. Scale bar 0.1 mm. 15 Lateral (right) view of head, collum and segments 2, 3 (♂).Arrow, collum with carina present on anterolateral margin, appearing scaly. Carina repeated serially on lateral tergal and pleural margins (absent from telson). Scale bar 0.1 mm.
Figure 9 from: Marek P, Shear W, Bond J (2012) A redescription of the leggiest animal, the millipede Illacme plenipes, with notes on its natural history and biogeography (Diplopoda, Siphonophorida, Siphonorhinidae). ZooKeys 241: 77-112. https://doi.org/10.3897/zookeys.241.3831
Figure 9 - Illacme plenipes ♀ with 170 segments and 662 legs (specimen # SPC000931). Top inset, 2× magnified view of posterior segments with corkscrew-shaped metenteron visible through cuticle; bottom inset, 3× magnified illustration of corkscrew-shaped metenteron. Scale bar 1 mm.
Figure 8 from: Marek P, Shear W, Bond J (2012) A redescription of the leggiest animal, the millipede Illacme plenipes, with notes on its natural history and biogeography (Diplopoda, Siphonophorida, Siphonorhinidae). ZooKeys 241: 77-112. https://doi.org/10.3897/zookeys.241.3831
Figure 8 - Lateral (right) view of antennal and cephalic apices (♂). a Scanning electron micrograph: arrow, denticulate shelf-like carina, projecting dorsally from labrum-epistome margin. Scale bar 0.1 mm b Line drawing: top arrow, shelf-like carina; middle arrow, triangular tooth-lined orifice; bottom arrow, gnathochilarium. Scale bar 0.01 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.