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312 results for “goat”
Plum Island Ecosystems site, station Spartina alterniflora-dominated salt marsh at Goat Island, North Inlet, Georgetown, SC, study of aboveground net primary productivity in units of gramsPerMeterSquaredPerYear on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Plum Island Ecosystems (PIE) contains aboveground net primary productivity measurements in gramsPerMeterSquaredPerYear units and were aggregated to a yearly timescale.
Plum Island Ecosystems site, station Spartina alterniflora-dominated salt marsh at Goat Island, North Inlet, Georgetown, SC, study of plant biomass in units of gramsPerSquareMeter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Plum Island Ecosystems (PIE) contains plant biomass measurements in gramsPerSquareMeter units and were aggregated to a yearly timescale.
Data from: Signatures of selection and environmental adaptation across the goat genome post-domestication
<p>Background: Since goat was domesticated 10,000 years ago, many factors have contributed to the differentiation of goat breeds and these are classified mainly into two types: (i) adaptation to different breeding systems and/or purposes and (ii) adaptation to different environments. As a result, approximately 600 goat breeds have developed worldwide; they differ considerably from one another in terms of phenotypic characteristics and are adapted to a wide range of climatic conditions. In this work, we analyzed the AdaptMap goat dataset, which is composed of data from more than 3000 animals collected worldwide and genotyped with the CaprineSNP50 BeadChip. These animals were partitioned into groups based on geographical area, production uses, available records on solid coat color and environmental variables including the sampling geographical coordinates, to investigate the role of natural and/or artificial selection in shaping the genome of goat breeds.</p> <p>Results: Several signatures of selection on different chromosomal regions were detected across the different breeds, sub-geographical clusters, phenotypic and climatic groups. These regions contain genes that are involved in important biological processes, such as milk-, meat- or fiber-related production, coat color, glucose pathway, oxidative stress response, size, and circadian clock differences. Our results confirm previous findings in other species on adaptation to extreme environments and human purposes and provide new genes that could explain some of the differences between goat breeds according to their geographical distribution and adaptation to different environments.</p> <p>Conclusions: These analyses of signatures of selection provide a comprehensive first picture of the global domestication process and adaptation of goat breeds and highlight possible genes that may have contributed to the differentiation of this species worldwide.</p>
Data from: Biomechanical evaluation of peak reverse torque (PRT) in a dynamic compression plate-screw construct used in a goat tibia segmental defect model
Background Peak reverse torque (PRT) is a valid method to evaluate implants' secondary stability in the healing bone. The secondary stability is achieved by the implant over time and it has been positively correlated with the implants' osseointegration level. In other words, peak reverse torque is the force required to break the bone-implant interface. The purpose of this study was to compare the peak reverse torque for the self-tapping and non-self-tapping screws used in a dynamic compression plate–screw–bone construct after 60 days of loading when used to stabilize 2.5-cm defects in the tibia of goats. The second objective was to compare the peak removal torque of the screws placed in the different positions to evaluate the impact of construct biomechanics on implants osseointegration. Results In total, 176 non-self-tapping screws and 66 self-tapping screws were used to fix the 8-holes dynamic compression plates to the bones. The screws were placed in the tibiae from proximal (position sites 1,2, 3) to distal (position sites 4,5,6) and were removed 60 days post-implantation. The animals remained weight-bearing throughout the study period. The screws placed in the proximal diaphysis had significantly less peak reverse torque than screws placed in the distal diaphysis in both groups (p < 0.05). The peak reverse torque resistance was also significantly less for the non-self-tapping screws as compared with the self-tapping screws (p < 0.05). The intracortical fractures in the trans-cortex occurred significantly more frequently during the placement of non-self-tapping screws (p < 0.05) as compared with self-tapping screws (p < 0.05). Conclusions Based on these results, we concluded that self-tapping screws may be expected to maintain a more stable bone-implant interface during the first 60 days of loading as compared with non-self-tapping screws. This should be a consideration for orthopedic surgeons and scientists using bone plates to stabilize non-load sharing fractures when a stable plate-screw-bone interface is needed to ensure prolonged stability.
Data from: Ascertaining gene flow patterns in livestock populations of developing countries: a case study in Burkina Faso goat
BACKGROUND: Introgression of Sahel livestock genes southwards in West Africa may be favoured by human activity and the increase of the duration of the dry seasons since the 1970's. The aim of this study is to assess the gene flow patterns in Burkina Faso goat and to ascertain the most likely factors influencing geographic patterns of genetic variation in the Burkina Faso goat population. RESULTS: A total of 520 goat were sampled in 23 different locations of Burkina Faso and genotyped for a set of 19 microsatellites. Although overall differentiation is poor (FST = 0.067 ± 0.003), the goat population of Burkina Faso is far from being homogeneous. Barrier analysis pointed out the existence of: a) genetic discontinuities in the Central and Southeast Burkina Faso; and b) genetic differences within the goat sampled in the Sahel or the Sudan areas of Burkina Faso. Principal component analysis and admixture proportion scores were computed for each population sampled and used to construct interpolation maps. Furthermore, Population Graph analysis revealed that the Sahel and the Sudan environmental areas of Burkina Faso were connected through a significant number of extended edges, which would be consistent with the hypothesis of long-distance dispersal. Genetic variation of Burkina Faso goat followed a geographic-related pattern. This pattern of variation is likely to be related to the presence of vectors of African animal trypanosomosis. Partial Mantel test identified the present Northern limit of trypanosome vectors as the most significant landscape boundary influencing the genetic variability of Burkina Faso goat (p = 0.008). The contribution of Sahel goat genes to the goat populations in the Northern and Eastern parts of the Sudan-Sahel area of Burkina Faso was substantial. The presence of perennial streams explains the existence of trypanosome vectors. The South half of the Nakambé river (Southern Ouagadougou) and the Mouhoun river loop determined, respectively, the Eastern and Northern limits for the expansion of Sahelian goat genes. Furthermore, results from partial Mantel test suggest that the introgression of Sahelian goat genes into Djallonké goat using human-influenced genetic corridors has a limited influence when compared to the biological boundary defined by the northern limits for the distribution of the tsetse fly. However, the genetic differences found between the goat sampled in Bobo Dioulasso and the other populations located in the Sudan area of Burkina Faso may be explained by the broad goat trade favoured by the main road of the country. CONCLUSIONS: The current analysis clearly suggests that genetic variation in Burkina Faso goat: a) follows a North to South clinal; and b) is affected by the distribution of the tsetse fly that imposes a limit to the Sahelian goat expansion due to their trypanosusceptibility. Here we show how extensive surveys on livestock populations can be useful to indirectly assess the consequences of climate change and human action in developing countries.
Data from: Use of a pressure-sensing walkway system for biometric assessment of gait characteristics in goats
The purpose of this study was to quantitatively assess gait characteristics and weight-bearing forces during ambulation in healthy goats using a pressure-sensing walkway as a biometric tool for stride, gait, and force analysis. Forty-six healthy adult goats ranging in age from 5 to 6 years, mixed-breeds, and with a mean body weight of 52 ± 7.1 kgs were used. Goats were trained to walk over a pressure-sensing walkway. Data for analysis was collected on 2 different days, 3 days apart. On each day, 2 to 5 walking passes, in the same direction, were captured for each goat. Data from 2 valid passes meeting the criteria for consistent walking gait on each day were averaged then used for analysis. Analysis was performed, including the day-effect, for stride, gait, and force characteristics. Of the 46 goats enrolled in the study, complete data sets were achieved in 33 (72%) goats. Gait biometrics were similar among the assessment days; therefore, all data was pooled for the purpose of characterizing data for individual limb and biometric parameter comparisons at the individual goat level. Statistical analysis revealed that no difference within the paired limbs and that there were significant differences between the front limbs and hind limbs. Maximum force and maximum peak pressure were significantly greater for the front limbs as compared with the hind limbs (p < 0.001). Based on the results, gait and force characteristics can be consistently measured in goats using a pressure-sensing walkway during a consistent walking gait. Goats apply greater force to the forelimbs during the weight-bearing phase of stride as compared with the hind limbs. The use of objective assessment tools is expected to improve the ability of researchers and clinicians to monitor changes in weight bearing and gait and will contribute to improved animal welfare.
Data from: Genetic diversity, population structure and phylogeography of Myanmar goats
The diversity of goats in Myanmar is represented by three indigenous breeds, Jade Ni, Nyaung Oo and Waithar Li. This study aimed at characterizing the genetic diversity and relationship of Myanmar goat breeds using microsatellite and mitochondrial DNA variations. A total of 147 goats from all three indigenous breeds were genotyped at 27 microsatellite loci. Genetic diversity in terms of allelic polymorphisms, observed and expected heterozygosities were moderately high. The mean observed heterozygosity within breeds varied between 0.566 ± 0.183 (Nyaung Oo) and 0.595 ± 0.182 (Waithar Li) while the expected heterozygosity varied from 0.605 ± 0.181 (Jade Ni) to 0.647 ± 0.176 (Waithar Li). Considerable heterozygosity deficit ranging from 5.5% to 8.2% was observed in Myanmar goat breeds. Wright's F statistics revealed most of the variations within breeds and only 1.9% of the total observed variation was explained by between breed differences. Principal components and Bayesian clustering analyses showed complete admixture of Nyaung Oo and Waithar Li goats indicating high rate of gene flow among these populations. Population stratification was observed in Jade Ni with a subset of individuals clustering distinctly. Variations in mitochondrial DNA control region revealed 22 distinct haplotypes belonging to two major haplogroups A and B. Haplogroup A was found to predominate Myanmar goats similar to other goat populations in Asia. Comparative analysis of mtDNA variations indicated possible Chinese origin of the maternal haplotypic lineages of Myanmar goats.
Data from: Genetic diversity and population structure in South African, French and Argentinian Angora Goats from genome-wide SNP data
The Angora goat populations in Argentina (AR), France (FR) and South Africa (SA) have been kept geographically and genetically distinct. Due to country-specific selection and breeding strategies, there is a need to characterize the populations on a genetic level. In this study we analysed genetic variability of Angora goats from three distinct geographical regions using the standardized 50k Goat SNP Chip. A total of 104 goats (AR: 30; FR: 26; SA: 48) were genotyped. Heterozygosity values as well as inbreeding coefficients across all autosomes per population were calculated. Diversity, as measured by expected heterozygosity (HE) ranged from 0.371 in the SA population to 0.397 in the AR population. The SA goats were the only population with a positive average inbreeding coefficient value of 0.009. After merging the three datasets, standard QC and LD-pruning, 15 105 SNPs remained for further analyses. Principal component and clustering analyses were used to visualize individual relationships within and between populations. All SA Angora goats were separated from the others and formed a well-defined, unique cluster, while outliers were identified in the FR and AR breeds. Apparent admixture between the AR and FR populations was observed, while both these populations showed signs of having some common ancestry with the SA goats. LD averaged over adjacent loci within the three populations per chromosome were calculated. The highest LD values estimated across populations were observed in the shorter intervals across populations. The Ne for the Angora breed was estimated to be 149 animals ten generations ago indicating a declining trend. Results confirmed that geographic isolation and different selection strategies caused genetic distinctiveness between the populations.
Bronze Goat Sculpture, Evora - Optimized
Small bronze sculpture representing a goat. It could be an ex-vote or offering related to the Roman or pre-Roman culture of the Lusitania. It is currently preserved in the Frei Manuel do Cenáculo National Museum (Évora, Portugal). Catalog No. ME3297. PEREIRA, Gabriel - Estudos Eborenses, I, 2ª ed. Évora: Edições Nazareth, 1947, p. 130. VASCONCELOS, J. Leite de - "Cabrinhas ou bodes de bronze" in O Archeologo Português, vol. I. Lisboa: Museu Ethnografhico Português, 1895, pp. 296–301. 736 photos from Canon 5D Mk IV. Completely processed (aligned, scaled, meshed, cleaned, simplified, unwrapped, textured) in Reality Capture. Source: Objaverse 1.0 / Sketchfab
Bronze Goat Sculpture, Museum of Evora
Small bronze sculpture representing a goat. It could be an ex-vote or offering related to the Roman or pre-Roman culture of the Lusitania. It is currently preserved in the Frei Manuel do Cenáculo National Museum (Évora, Portugal). Catalog No. ME3297. PEREIRA, Gabriel - Estudos Eborenses, I, 2ª ed. Évora: Edições Nazareth, 1947, p. 130. VASCONCELOS, J. Leite de - "Cabrinhas ou bodes de bronze" in O Archeologo Português, vol. I. Lisboa: Museu Ethnografhico Português, 1895, pp. 296–301. 736 photos from Canon 5D Mk IV. Completely processed (aligned, scaled, meshed, cleaned, simplified, unwrapped, textured) in Reality Capture. Source: Objaverse 1.0 / Sketchfab
Yule Goat
Source: Objaverse 1.0 / Sketchfab
Identification of Goat Milk Adulterated with Cow Milk Based on Total Synchronous Fluorescence Spectroscopy
<p>This data comes from the article "<span>Identification of Goat Milk Adulterated with Cow Milk Based on Total Synchronous Fluorescence Spectroscopy Combined with CNN</span>". Among them, "origin_data" is the original experimental data; "data" is the original experimental data extracted and merged into Excel data; "plot_data" is the contour map drawn for a single sample. For detailed experimental configuration, please refer to the article. If you need detailed data analysis, please contact 19851781820@163.com.</p>
Distribution. SW Asia from Iraq and Iran to Afghanistan, Pakistan, India, Nepal, and Bhutan; also Bangladesh, Myanmar and S China (including Hainan I). Introduced to Antigua, Barbados, Beef Island, Buck Island, Carriacou, Croatia, Cuba, Fiji, French Guiana, Goat Island, Grenada, Guadeloupe, Guyana, Hawaii, Hispaniola, Jamaica, Japan, Jost Van Dyke, La Desirade, Lavango, Mafia (Tanzania), Marie Galante, Martinique, Maui, Mauritius, Molokai, Nevis, Oahu, Puerto Rico, St. Croix, St. John, St. Kitts, St. Lucia, St. Martin, St. Thomas, St. Vincent, Surinam, Tortola, Trinidad, Vieques, and Water Island. Introduction was unsuccessful in the Dominican Republic. The Small Indian Mongoose or the Javan Mongoose is said to occur on Hong Kong since the 1980s, and to have been also introduced to some Indonesian islands (particularly Ambon). in Herpestidae
Distribution. SW Asia from Iraq and Iran to Afghanistan, Pakistan, India, Nepal, and Bhutan; also Bangladesh, Myanmar and S China (including Hainan I). Introduced to Antigua, Barbados, Beef Island, Buck Island, Carriacou, Croatia, Cuba, Fiji, French Guiana, Goat Island, Grenada, Guadeloupe, Guyana, Hawaii, Hispaniola, Jamaica, Japan, Jost Van Dyke, La Desirade, Lavango, Mafia (Tanzania), Marie Galante, Martinique, Maui, Mauritius, Molokai, Nevis, Oahu, Puerto Rico, St. Croix, St. John, St. Kitts, St. Lucia, St. Martin, St. Thomas, St. Vincent, Surinam, Tortola, Trinidad, Vieques, and Water Island. Introduction was unsuccessful in the Dominican Republic. The Small Indian Mongoose or the Javan Mongoose is said to occur on Hong Kong since the 1980s, and to have been also introduced to some Indonesian islands (particularly Ambon).
Distribution. Llamas are found at 3800-5000 m above sea level in the Central Andes, from C Peru to W Bolivia and N Argentina. Llama distribution reached its apex during the expansion of the Inca Empire (1470-1532 ap), when pack trains were used to carry supplies for the royal armies to S Colombia and C Chile. Although originally indigenous and endemic to South America, Llamas have now been exported to countries around the world as a companion animal, featured in livestock shows, used for trekking and backpacking, cottage industry and home use ofits wool, and in North America increasingly utilized as a guard animal for protecting sheep and goats from canid predators. in Camelidae
Distribution. Llamas are found at 3800-5000 m above sea level in the Central Andes, from C Peru to W Bolivia and N Argentina. Llama distribution reached its apex during the expansion of the Inca Empire (1470-1532 ap), when pack trains were used to carry supplies for the royal armies to S Colombia and C Chile. Although originally indigenous and endemic to South America, Llamas have now been exported to countries around the world as a companion animal, featured in livestock shows, used for trekking and backpacking, cottage industry and home use ofits wool, and in North America increasingly utilized as a guard animal for protecting sheep and goats from canid predators.
The assembly of caprine Y chromosome sequence reveals a unique paternal phylogenetic pattern and improves our understanding the origin of domestic goat
<p>The mammalian Y chromosome offers a unique perspective on the male reproduction and paternal evolutionary histories. However, further understanding of the Y chromosome biology for most mammals is hindered by the lack of a Y chromosome assembly. This study presents an integrated <i>in silico</i> strategy for identifying and assembling the goat Y-linked scaffolds <span>using existing data</span>. A total of 11.5 Mb Y-linked sequences were clustered into 33 scaffolds, and 187 protein-coding genes were annotated. We also identified high abundance of repetitive elements. A 5.84 Mb subset was further ordered into an assembly with the evidence from the goat Radiation-Hybrid map (RH map). The existing whole-genome re-sequencing data of 96 goats (worldwide distribution) were utilized to exploit the paternal relationships among bezoars and domestic goats. Goat paternal lineages were clearly divided into two clades (Y1 and Y2), predating the goat domestication. Demographic history analyses indicated that maternal lineages experienced a bottleneck effect around 2,000 YBP (years before present), after which goats belonging to the A haplogroup spread worldwide from the Near East. As opposed to this, paternal lineages experienced a population decline around the 10,000 YBP. The evidence from the Y chromosome suggests that male goats were not affected by the A haplogroup worldwide transmission, which implies sexually unbalanced contribution to the goat trade and population expansion in post-Neolithic period.</p>
On following pages: 168. Rocky Mountain Goat (Oreamnos americanus); 169. Mishmi Takin (Budorcas taxicolon; bedford); 173. Aoudad (Ammotragus lervia); 174. Arabian Tahr (Arabitragus jayakari); 175. Himalayan Tahr (Hemitragus 170. Bhutan Takin (Budorcas whitel); 171. Sichuan Takin (Budorcas tibetana); 172. Golden Takin (Budorcas jemlahicus); 176. Greater Blue Sheep (Pseudois nayaun); 177. Dwarf Blue Sheep (Pseudois schaeferi). in Bovidae
On following pages: 168. Rocky Mountain Goat (Oreamnos americanus); 169. Mishmi Takin (Budorcas taxicolon; bedford); 173. Aoudad (Ammotragus lervia); 174. Arabian Tahr (Arabitragus jayakari); 175. Himalayan Tahr (Hemitragus 170. Bhutan Takin (Budorcas whitel); 171. Sichuan Takin (Budorcas tibetana); 172. Golden Takin (Budorcas jemlahicus); 176. Greater Blue Sheep (Pseudois nayaun); 177. Dwarf Blue Sheep (Pseudois schaeferi).
FIGURE 6 in Rumen ciliates (Alveolata, Ciliophora) associated with goats: checklist, geographic distribution, host specificity, phylogeny and molecular dating
FIGURE 6. Dated phylogeny obtained through Maximum Likelihood for endosymbiont ciliates of the Trichostomatia subclass. The red vertical line represents the radiation period of the Caprinae subfamily (Ropiquet & Hassanin 2005 a, b). The green circles represent the nodes and the possible period in millions of years of diversification of the Isotrichidae (4.3–15.5) and Ophryoscolecidae (1.0–5.7) families. My—Millions of years.
FIGURE 4 in Rumen ciliates (Alveolata, Ciliophora) associated with goats: checklist, geographic distribution, host specificity, phylogeny and molecular dating
FIGURE 4. Interaction network between ciliate protozoa species associated with goats and other hosts. The bars in grey and black represent some hosts that associate with ciliates and the ciliate protozoa species, respectively. The colored arrows (ranging from black to red) represent the associations between hosts and ciliate species. The size of the grey and black bars represents the hosts and ciliate species with greater or lower association, respectively (Dogiel 1928; Dehority 1974; Vasily & Mitchell 1974; Wilkinson & Van Hoven 1976; Kleynhans & Hoven 1976; Van Hoven et al. 1979; Dehority 1987; Towne et al. 1988; Dehority 1995; Selim et al. 1996; Dehority 1997; Wright & Lynn 1997; Selim et al. 1999; Dehority et al. 1999; Franzolin & Dehority 1999; Su et al. 2000; Imai et al. 2004; Talar et al. 2004; De la Fuente et al. 2006; Obanda et al. 2008; Del Valle et al. 2008; Martinele & D'Agosto 2008; Mishima et al. 2009; Booyse & Dehority 2012; Baraka 2012; Booyse et al. 2014; Booyse et al. 2015; Cerón Cucchi et al. 2016; Cedrola et al. 2016; Cedrola et al. 2017; Kimura et al. 2017; Gürelli 2017; Gürelli 2018; Cedrola et al. 2018).
FIGURE 5 in Rumen ciliates (Alveolata, Ciliophora) associated with goats: checklist, geographic distribution, host specificity, phylogeny and molecular dating
FIGURE 5. Phylogenetic tree obtained through Maximum Likelihood representing evolutionary relationships of some species of ciliates, based on 18S rDNA sequences. The red color represents species observed in studies with rumen samples from goats. Subclass Haptoria was chosen as outgroup. The values in each node of the tree mean, respectively: Maximum Likelihood (ML) bootstrap and Bayesian inference (BI) values of posterior probability. Scale bar represents 3 substitutions per 100 nucleotide positions.
FIGURE 2 in Rumen ciliates (Alveolata, Ciliophora) associated with goats: checklist, geographic distribution, host specificity, phylogeny and molecular dating
FIGURE 2. Schematic representation of the association of ciliate protozoa genera and the host species of the Caprinae subfamily. The numbers around the circle represent the number of times a genus has been observed in a host. The colors red, pink, caramel and dark orange of the bars represent, respectively, the hosts Capra hircus, Rupicapra rupicapra, Capra pyrenaica, and Capra ibex, and the genera associated with them. The lines within the circle indicate the association between host species and the genera.
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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)
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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.