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Fig. 3 in Ontogenetic modifications produce similar phenotypes in distantly related click beetles (Coleoptera: Elateridae)
Fig. 3. Analestesa arabica (Paulus, 1981) from Saudi Arabia (except for Fig. 3I). A—general appearance, dorsal view; B–D—frontal part of the body, dorsally (B, C) and ventrally); E—head in lateral view; F–H—pronotum, lateral, dorsolateral, and posterior view; I—antenna; J—elytron; K, M—male genitalia, ventrally, dorsally, laterally; l—Male genitalia of Dicronychus cinereus (Herbst, 1784); N—hind tarsus and apical part of tibia; O—abdomen, ventral view; P—terminal abdominal segments. Scales 0.5 mm.
Fig. 2 in Ontogenetic modifications produce similar phenotypes in distantly related click beetles (Coleoptera: Elateridae)
Fig. 2. Paulusiella sp. from Iran. A—general appearance, dorsal view; B, C—frontal part of the body, dorsally and ventrally; D—antenna; E—head and pronotum in lateral view; F, G—head, ventral and dorsal view; H—mesonotum; I—elytron; J–L—pronotum, dorsally, laterally, posterior view, M prosternal process, and mesosternal pit; N–P male genitalia, ventrally, dorsally, laterally; Q—terminal abdominal segments. Scales 0.5 mm.
Fig. 5 in Ontogenetic modifications produce similar phenotypes in distantly related click beetles (Coleoptera: Elateridae)
Fig. 5. Hemiops sp. from Laos. A–C general appearance, dorsal, ventral, and lateral aspects; D—pronotum; E—basal antennomeres; F—pronotum and head, ventrolateral view; G—head, dorsally; H—prosternal process and mesosternal pit; I, J—male genitalia; K—metathoracic leg; L—head ventrally; M—mesonotum; N, O º pronotum, dorsal, and posterior view; P—terminal abdominal segments. Scales 1.0 mm.
Programs and data used for Extracting latent variables from forecast ensembles and advancements in similarity metric utilizing optimal transport
<p>This is compiled from the program and output data using in Nishizawa (2024).</p> <p> </p> <p>Nishizawa, 2024: Extracting latent variables from forecast ensembles and advancements in similarity metric utilizing optimal transport. submitted to JGR: Machine Learning and Computation.</p>
Figure S2. General aspect of the rubber bales found in 2021 on the Northeast coast of Brazil. 74 x 57 x 40 cm. These are very similar to those found in 2018, except for the presence of Japanese ideograms.
Open the record for dataset details and reuse information.
Similar looking sisters: A new sibling species in the Pristimantis danae group from the southwestern Amazon basin (Anura, Strabomantidae)
<p><strong>Supplementary data </strong></p> <p>Köhler et al. (2024): Similar looking sisters: A new sibling species in the <em>Pristimantis danae</em> group from the southwestern Amazon basin (Anura, Strabomantidae). Zoosystematics and Evolution 100 (2): 565-582.</p> <p>1) Excel spreadsheet with all samples used in the genetic analyses, providing species ID, voucher numbers, GenBank accession numbers for 16S sequences and locality data. Newly produced sequences highlighted in green.</p> <p>2) Excel spreadsheet with 16S sequence distances of samples used in the study calculated with Taxl2. Corresponding sample information provided in file Köhler_et_al_Pristimantis_danae_group_samples_used_for_molecular_analyses.xlsx.</p>
FIGURE 4 in A new species of Cis Latreille (Coleoptera: Ciidae) widespread in Brazil but with similarities to the African fauna
FIGURE 4. Dissected fourth instar larva of Cis caramelo sp. nov. from Cariacica, in the state of Espírito. Head (a), showing maxillae (mx), mandibles (md), frontal arms (f.a.), and antennae (black arrows). Part of the ventro-lateral view of thorax (b), focusing on the first left leg. Abdomen (c) in lateral view, showing the segments VI-VIII and the spiracles (red arrows). Posterior portion of abdomen (d) in ventral view, showing the urogomphi (ug). Scale bars: 0.1 mm.
FIGURE 3 in A new species of Cis Latreille (Coleoptera: Ciidae) widespread in Brazil but with similarities to the African fauna
FIGURE 3. Eggs, larva and pupa of Cis caramelo sp. nov. from Cariacica, in the state of Espírito Santo. Three eggs (a, red arrows) in the pores of Trametes versicolor. Fourth instar larva in lateral view (b) and detail of the abdominal apex (c). Pupa (d). Scale bars: 0.5 mm.
FIGURE 2 in A new species of Cis Latreille (Coleoptera: Ciidae) widespread in Brazil but with similarities to the African fauna
FIGURE 2. Cis caramelo sp. nov., females. Dorsal view of a paratype from Cariacica, in the state of Espírito Santo (a). Abdominal terminalia of a paratype from the same locality (b–c), showing the ovipositor (b) and the VIII sternite with the spiculum ventrale (c). Scale bars: 0.5 mm (a), 0.1 mm (b–c).
FIGURE 1 in A new species of Cis Latreille (Coleoptera: Ciidae) widespread in Brazil but with similarities to the African fauna
FIGURE 1. Cis caramelo sp. nov., males. Holotype from Cariacica, in the state of Espírito Santo, in dorsal (a), lateral (b) and ventral view (c). Small paratype from the same locality in dorsal view (d). The first two abdominal ventrites of specimens from Cariacica and showing a large circular (e) and a small oval (f) setose sex patch. Abdominal terminalia in a specimen from Cariacica, showing the VIII sternite (g), basal piece (h), tegmen (i) and penis (j). Scale bars: 0.5 mm (a–d), 0.2 mm (e–f), 0.1 mm (g–j).
Data from: Exploring trophic role similarity and phylogenetic relatedness between species in food webs
<p>Understanding the mechanism shaping species assemblage is a fundamental goal in ecology. In the past two hypotheses have been suggested. One is the filtering hypothesis where environmental factors select for species of similar traits such that they co-occurring in similar niches. The other is the competitive exclusion hypothesis where related species are driven far apart by competition such that they over-disperse across different niches. Here, we investigate the relationship between species assemblage and their phylogenetic relatedness from the network perspective by using five different ecosystems ranging from oceans to an inland lake. We quantified the similarity in species'network positions in a food web and cluster them into different trophic role groups; and from an on-line database we quantified their phylogenetic distances. We then investigated whether related species tend to under or overdisperse across different trophic role groups. In general, our result suggests the environmental filtering process is the dominant force shaping the species assemblage of those ecosystems. However, there are some possible cases where related species are driven by competition such that they evolve to adopt different trophic roles in relatively closed ecosystems.</p>
Heme oxygenase pfam14518 sequence similarity network
<p>Sequence similarity network generated from pfam14518 using the EFI-GNT webtool. Each node is representative of sequences that are 80% identical. </p>
Increasing stimulus similarity drives nonmonotonic representational change in hippocampus
<p>Studies of hippocampal learning have obtained seemingly contradictory results, with manipulations that increase coactivation of memories sometimes leading to differentiation of these memories, but sometimes not. These results could potentially be reconciled using the nonmonotonic plasticity hypothesis, which posits that representational change (memories moving apart or together) is a U-shaped function of the coactivation of these memories during learning. Testing this hypothesis requires manipulating coactivation over a wide enough range to reveal the full U-shape. To accomplish this, we used a novel neural network image synthesis procedure to create pairs of stimuli that varied parametrically in their similarity in high-level visual regions that provide input to the hippocampus. Sequences of these pairs were shown to human participants during high-resolution fMRI. As predicted, learning changed the representations of paired images in the dentate gyrus as a U-shaped function of image similarity, with neural differentiation occurring only for moderately similar images.</p>
Data from: Calcium and strontium stable isotopes reveal similar behaviors of essential Ca and non-essential Sr in stream food webs
<p>Recent studies showed the potential of stable isotopes of the macronutrient calcium (δ<sup>44/40</sup>Ca) and non-essential strontium (δ<sup>88/86</sup>Sr) as new trophic level indicators in terrestrial vertebrates and marine teleost fishes. In this study, we tested whether similar Ca and Sr isotopic fractionation trends existed in macroinvertebrate dominated stream food webs compared to vertebrates despite their physiological differences. We have determined the δ<sup>44/40</sup>Ca and δ<sup>88/86</sup>Sr values as well as the <sup>87</sup>Sr/<sup>86</sup>Sr ratios of stream macroinvertebrates and of small gobies and of their potential metal sources (stream water, periphyton, terrestrial plant litter) collected in May and November 2018 in upper and lower reaches of two streams in the Lake Biwa catchment, central Japan.</p> <p>The data are organized in different spreadsheets for each sample type (Rock cobbles, Stream water, Periphyton, Plant litter, Aquatic macroinvertebrates, fishes). Each spreadsheet contains information of the sample type including stream name (Ado, Yasu), stream location (Upper, Lower), sampling month (May, November), where relevant the order and scientifc name of specimens, the δ<sup>44/40</sup>Ca and δ<sup>88/86</sup>Sr values with two standard deviations, the <sup>87</sup>Sr/<sup>86</sup>Sr ratios with two standard errors, the Ca and Sr concentrations and the calculated log(Sr/Ca) ratios of the samples.</p>
Subspecies and Distribution. S. s. scrofa Linnaeus, 1758 — W Europe, from Denmark, Germany, Poland, and Czech Republic to N Italy and N Iberian Peninsula; possibly also Albania. The taxonomic status of animals in Austria, Switzerland, Slovenia, and Slovakia is unclear but presumably these populations are included in scrofa, as are the populations of Sweden, Finland, and the Baltic states. However, restocking of once depleted populations, for example in Italy, has likely involved the introduction and mixing of this subspecies with other subspecies, such as attila. S. s. affinis Gray, 1847 — S India and Sri Lanka. S. s. algirus Loche, 1867 — Tunisia, Algeria, and Morocco, on the coastal side of the mountains or in the low montane areas. S. s. attila Thomas, 1912 — Hungary, Ukraine, C & S Belarus, Romania, Moldova, and S Russia towards the N flank of the Caucasus, but not including the Transcaucasian countries of Georgia, Armenia, and Azerbaijan. The range possibly extends as far S as the Mesopotamian Delta in Iraq, in which case it would likely include W & SW Iran, and possibly E Turkey and Syria, where it borders with lybicus. Such a range could not be easily reconciled with a statement by Groves that "the difference between pigs from N and S of the Caucasus is quite striking; Transcaucasian boars are certainly not attila." This subspecies may also extend into C Asia and include Kazakhstan, Uzbekistan, and Turkmenistan, but no data exist to support this. S. s. baeticus Thomas, 1912 — originally described from Coto Donana, S Spain, and later merged with meridionalis; also S Portugal. Unless evidence is found that these Italian and Iberian populations are the relics of a much larger formerly contiguous range, this subspecies should be kept as distinct. S. s. coreanus Heude, 1897 — Korean Peninsula. S. s. eristatus Wagner, 1839 — Himalayas S to C India and E to Indochina (N of the Kra Isthmus). S. s. davidi Groves, 1981 — the arid zone from E Iran to Gujarat, including Pakistan and NW India, and perhaps N to Tajikistan. S. s. leucomystax Temminck, 1842 — main Is ofJapan (Honshu, Shikoku, Kyushu, Nakadori, Hiburijima, Tojima, Kushima, and other smaller Is). S. s. lybicus Gray, 1868 — Bulgaria, Greece, Turkey, Syria, Jordan, Israel, Palestine, in the past also in Lybia, and Egypt. The former Yugoslavia was included in its range, which would suggest that now Slovenia, Serbia, Croatia, Bosnia and Herzegovina, Montenegro, and Kosovo are within the range of this subspecies, although the exact boundaries are unclear. Pigs from Albania have been assigned to S. s. scrofa. S. s. majori De Beaux & Festa, 1927 — C & S Italian Peninsula. S. s. menidionalis Forsyth Major, 1882 — Corsica and Sardinia, with the proviso that the two populations are very likely to be introduced or feral. S. s. moupinensis Milne-Edwards, 1871 — China, S to Vietnam and W to Sichuan. S. s. nigripes Blanford, 1875 — the flanks of the Tianshan mountains in Kyrgyzstan and NW China (Xinjiang). An animal photographed in NE Iran (Golestan) looked like this subspecies. S. s. nukiuanus Kuroda, 1924 — Iriomote, Ishigaki, Okinawa, Tokunoshima, Amamioshima, and Kakerome Is in the Ryukyu chain in extreme S Japan, though some of these populations have hybridized with introduced domesticates. S. s. sibiricus Staffe, 1922 — Mongolia and Transbaikal (S & E of Lake Baikal). S. s. tawvanus Swinhoe, 1863 — Taiwan. S. s. ussuricus Heude, 1888 — far E Russia and the Manchurian region (China). Korean populations were previously included in this subspecies, but based on new evidence, the Korean taxon seems more similar to moupinensis. S. s. vittatus Boie, 1828 — Malay Peninsula, S of the Isthmus of Kra, the offshore islands of Terutai and Langkawi, Sumatra, Riau Archipelago, Java, Bali, and a range of smaller islands around these, including Babi, Bakong, Batam, Bawean, Bengkalis, Bintan, Bulan, Bunguran, Cuyo, Deli, Durian, Enggano, Galang, Jambongan, Karimon (Riau Is), Kundur, Lagong, Laut, Lingga, Lingung, Mapor, Moro Kecil, North Pagai, Nias, Panaitan, Payong, Penang, Pinie, Rupat, Siantan, Siberut, Simeulue, Singkep, Sugi, Sugi Bawa, Telibon, Tinggi, Tuangku, and the Tambelan Is. This species was originally present from the British Is in the extreme W, through Eurasia from S Scandinavia to S Siberia, extending as far E as Korea and Japan, and SE into some of the Sunda Is and Taiwan. In the S the species ranged along the Nile Valley to Khartoum, and N of the Sahara in Africa, more orless following the continental coasts of S, E, and SE Asia. Within this range it was absent only from extremely dry deserts, e.g. the driest regions of Mongolia and in China W of Sichuan; and alpine zones, such as the high altitudes of Pamir and Tien Shan. In recent centuries, the range of S. scrofa has changed dramatically because of hunting and changes in available habitat. The species disappeared from the British Is in the 17" century, from Denmark in the 19" century, and was greatly reduced in range and numbers in the 20" century from areas as distant as Tunisia, Sudan, Germany, and Russia. Following these severe declines, there were some slight population recoveries in Russia, Italy, Spain, and Germany in the mid-20™ century, and natural and assisted range expansions in Denmark and Sweden. The species has also been inadvertently reintroduced in various locations in the Great Britain via escapees of mixed origin from commercial farming enterprises. Ex-S. scrofa stocks also occur as introduced feral populations in various other parts of the world, including Australia, New Zealand, the eastern Malay Archipelago, and in North, Central, and South America. In all of these areas they are now generally recognized as a major pest. in Suidae
Subspecies and Distribution. S. s. scrofa Linnaeus, 1758 — W Europe, from Denmark, Germany, Poland, and Czech Republic to N Italy and N Iberian Peninsula; possibly also Albania. The taxonomic status of animals in Austria, Switzerland, Slovenia, and Slovakia is unclear but presumably these populations are included in scrofa, as are the populations of Sweden, Finland, and the Baltic states. However, restocking of once depleted populations, for example in Italy, has likely involved the introduction and mixing of this subspecies with other subspecies, such as attila. S. s. affinis Gray, 1847 — S India and Sri Lanka. S. s. algirus Loche, 1867 — Tunisia, Algeria, and Morocco, on the coastal side of the mountains or in the low montane areas. S. s. attila Thomas, 1912 — Hungary, Ukraine, C & S Belarus, Romania, Moldova, and S Russia towards the N flank of the Caucasus, but not including the Transcaucasian countries of Georgia, Armenia, and Azerbaijan. The range possibly extends as far S as the Mesopotamian Delta in Iraq, in which case it would likely include W & SW Iran, and possibly E Turkey and Syria, where it borders with lybicus. Such a range could not be easily reconciled with a statement by Groves that "the difference between pigs from N and S of the Caucasus is quite striking; Transcaucasian boars are certainly not attila." This subspecies may also extend into C Asia and include Kazakhstan, Uzbekistan, and Turkmenistan, but no data exist to support this. S. s. baeticus Thomas, 1912 — originally described from Coto Donana, S Spain, and later merged with meridionalis; also S Portugal. Unless evidence is found that these Italian and Iberian populations are the relics of a much larger formerly contiguous range, this subspecies should be kept as distinct. S. s. coreanus Heude, 1897 — Korean Peninsula. S. s. eristatus Wagner, 1839 — Himalayas S to C India and E to Indochina (N of the Kra Isthmus). S. s. davidi Groves, 1981 — the arid zone from E Iran to Gujarat, including Pakistan and NW India, and perhaps N to Tajikistan. S. s. leucomystax Temminck, 1842 — main Is ofJapan (Honshu, Shikoku, Kyushu, Nakadori, Hiburijima, Tojima, Kushima, and other smaller Is). S. s. lybicus Gray, 1868 — Bulgaria, Greece, Turkey, Syria, Jordan, Israel, Palestine, in the past also in Lybia, and Egypt. The former Yugoslavia was included in its range, which would suggest that now Slovenia, Serbia, Croatia, Bosnia and Herzegovina, Montenegro, and Kosovo are within the range of this subspecies, although the exact boundaries are unclear. Pigs from Albania have been assigned to S. s. scrofa. S. s. majori De Beaux & Festa, 1927 — C & S Italian Peninsula. S. s. menidionalis Forsyth Major, 1882 — Corsica and Sardinia, with the proviso that the two populations are very likely to be introduced or feral. S. s. moupinensis Milne-Edwards, 1871 — China, S to Vietnam and W to Sichuan. S. s. nigripes Blanford, 1875 — the flanks of the Tianshan mountains in Kyrgyzstan and NW China (Xinjiang). An animal photographed in NE Iran (Golestan) looked like this subspecies. S. s. nukiuanus Kuroda, 1924 — Iriomote, Ishigaki, Okinawa, Tokunoshima, Amamioshima, and Kakerome Is in the Ryukyu chain in extreme S Japan, though some of these populations have hybridized with introduced domesticates. S. s. sibiricus Staffe, 1922 — Mongolia and Transbaikal (S & E of Lake Baikal). S. s. tawvanus Swinhoe, 1863 — Taiwan. S. s. ussuricus Heude, 1888 — far E Russia and the Manchurian region (China). Korean populations were previously included in this subspecies, but based on new evidence, the Korean taxon seems more similar to moupinensis. S. s. vittatus Boie, 1828 — Malay Peninsula, S of the Isthmus of Kra, the offshore islands of Terutai and Langkawi, Sumatra, Riau Archipelago, Java, Bali, and a range of smaller islands around these, including Babi, Bakong, Batam, Bawean, Bengkalis, Bintan, Bulan, Bunguran, Cuyo, Deli, Durian, Enggano, Galang, Jambongan, Karimon (Riau Is), Kundur, Lagong, Laut, Lingga, Lingung, Mapor, Moro Kecil, North Pagai, Nias, Panaitan, Payong, Penang, Pinie, Rupat, Siantan, Siberut, Simeulue, Singkep, Sugi, Sugi Bawa, Telibon, Tinggi, Tuangku, and the Tambelan Is. This species was originally present from the British Is in the extreme W, through Eurasia from S Scandinavia to S Siberia, extending as far E as Korea and Japan, and SE into some of the Sunda Is and Taiwan. In the S the species ranged along the Nile Valley to Khartoum, and N of the Sahara in Africa, more orless following the continental coasts of S, E, and SE Asia. Within this range it was absent only from extremely dry deserts, e.g. the driest regions of Mongolia and in China W of Sichuan; and alpine zones, such as the high altitudes of Pamir and Tien Shan. In recent centuries, the range of S. scrofa has changed dramatically because of hunting and changes in available habitat. The species disappeared from the British Is in the 17" century, from Denmark in the 19" century, and was greatly reduced in range and numbers in the 20" century from areas as distant as Tunisia, Sudan, Germany, and Russia. Following these severe declines, there were some slight population recoveries in Russia, Italy, Spain, and Germany in the mid-20™ century, and natural and assisted range expansions in Denmark and Sweden. The species has also been inadvertently reintroduced in various locations in the Great Britain via escapees of mixed origin from commercial farming enterprises. Ex-S. scrofa stocks also occur as introduced feral populations in various other parts of the world, including Australia, New Zealand, the eastern Malay Archipelago, and in North, Central, and South America. In all of these areas they are now generally recognized as a major pest.
Data from: Genomic region associated with run-timing has similar haplotypes and phenotypic effects across three lineages of Chinook salmon
<p><span><span><span><span><span><span><span><span><span><span><span>Conserving life history variation is a stated goal of many management programs, but the most effective means by which to accomplish this are often far from clear. Early, premature migrating and late, mature migrating forms of Chinook salmon face unequal pressure from natural and anthropogenic forces. These forces may result in the diminishment of migration variation in some stocks because migration timing is known to be highly heritable. Genomic regions of chromosome 28 are known to be strongly associated with migration variation in adult Chinook salmon, but it remains unclear whether there is consistent association among the diverse populations of Chinook salmon. Therefore, application of this association for management may be premature. We examined the association of genetic variation in 28 markers on chromosome 28 surveyed with high-throughout genotyping (GT-seq) with individual run timing characteristics gleaned from passive integrated transponder recordings of over 5,000 Chinook salmon from the three phylogeographic lineages that inhabit the Columbia River Basin. Despite the strong genetic differences among them, the three lineages exhibited very similar genetic variants in the chromosome 28 region and moderate to strong association of these variants and run timing phenotypes. This is particularly notable for the interior stream-type lineage, which exhibits an earlier and more constrained migration of fish than the other lineages and which are exclusively premature when they enter freshwater. In both interior stream-type and interior-ocean type Chinook salmon, heterozygotes of the most strongly associated linkage groups are largely intermediate to homozygotes in migration timing, and while we make no robust conclusions about dominance, results indicate codominance or marginal partial dominance of the early migrating allele. Our results lend support to the cautious utilization of chromosome 28 variation in tracking and predicting run timing in these Chinook salmon.</span></span></span></span></span></span></span></span></span></span></span></p>
Data collected from user evaluation of dataset search using similarity methods
<p>The data in this dataset was collected from a user evaluation of dataset search using similarity methods in data catalogs. It is linked to the dataset metadata in the data catalog used for the evaluation, which is available in https://doi.org/10.5281/zenodo.4433464.</p>
Ground truths for dataset search using similarity methods generated from a user evaluation
<p>The dataset contains ground truths for 6 different use cases and 10 levels of agreement among 10 users participating in a user evaluation of dataset search using similarity methods in data catalogs. The data contains collections linking to dataset metadata available in https://doi.org/10.5281/zenodo.4433464.</p>
Screening of 67 compounds with predicted biosignature profile similar to remdesivir for anti-SARS-CoV-2 activity
<p>This short report describes the most relevant results of screening compounds with a similar predicted biosignature as remdesivir in a VeroE6 cell-based anti-SARS-CoV-2 assay.</p>
Automated bird sound classifications of long-duration recordings produce occupancy model outputs similar to manually annotated data
<p>Occupancy modeling is used to evaluate avian distributions and habitat associations, yet it typically requires extensive survey effort because a minimum of three repeat samples are required for accurate parameter estimation. Autonomous recording units (ARUs) can reduce the need for surveyors on site, yet ARUs utility were limited by hardware costs and the time required to manually annotate recordings. Software that identifies bird vocalizations may reduce expert time needed, if classification is sufficiently accurate. We assessed the performance of BirdNET – an automated classifier capable of identifying vocalizations from >900 North American and European bird species – by comparing automated to manual annotations of recordings of 13 breeding bird species collected in northwestern California. We compared the parameter estimates of occupancy models evaluating habitat associations supplied with manually annotated data (9 min recording segments) to output from models supplied with BirdNET detections. We used three sets of BirdNET output to evaluate the duration of automatic annotation needed to approach manually annotated model parameter estimates: 9-min, 87-min, and 87-min of high-confidence detections. We incorporated 100 3-sec manually validated BirdNET detections per species to estimate true and false positive rates within an occupancy model. BirdNET correctly identified 90% and 65% of the bird species a human detected when data were restricted to detections exceeding a low or high confidence score threshold, respectively. Occupancy estimates, including habitat associations, were similar regardless of method. Precision (proportion of true positives to all detections) was >0.70 for 9 of 13 species, and a low of 0.29. However, processing of longer recordings was needed to rival manually annotated data. We conclude that BirdNET is suitable for annotating multispecies recordings for occupancy modeling when extended recording durations are used. Together, ARUs and BirdNET may benefit monitoring and, ultimately, conservation of bird populations by greatly increasing monitoring opportunities. </p>
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.