Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
9,882
datasets available to search
ShareScore release 0.9.0
Dataset results
9,882 results for “Scale”
Exposing wind stress as a driver of fine-scale variation in plant communities
<p>The effects of temperature and precipitation, and the impacts of changes in these climatic conditions, on plant communities have been investigated extensively. The roles of other climatic factors are, however, comparatively poorly understood, despite potentially also strongly structuring community patterns. Wind, for example, is seldom considered when forecasting species responses to climate change, despite having direct physiological and mechanical impacts on plants. It is, therefore, important to understand the magnitude of potential impacts of changing wind conditions on plant communities, particularly given that wind patterns are shifting globally.</p> <p>Here, we examine the relationship between wind stress (i.e. a combination of wind exposure and wind speed) and species richness, vegetation cover and community composition using fine-scale, field-collected data from 1440 quadrats in a windy sub-Antarctic environment.</p> <p>Wind stress was consistently a strong predictor of all three community characteristics, even after accounting for other potentially ecophysiologically important variables, including pH, potential direct incident solar radiation, winter and summer soil temperature, soil moisture, soil depth, and rock cover. Plant species richness peaked at intermediate wind stress, and vegetation cover was highest in plots with the greatest wind stress. Community composition was also related to wind stress, and, after the influence of soil moisture and pH, had a similar strength of effect as winter soil temperature.</p> <p>Synthesis: Wind conditions are, therefore, clearly related to plant community characteristics in this ecosystem that experiences chronic winds. Based on these findings, wind conditions require greater attention when examining environment-community relationships, and changing wind patterns should be explicitly considered in climate change impact predictions.</p>
Elucidating gene expression patterns across multiple biological contexts through a large-scale investigation of transcriptomic datasets
<p>This contains data for described in detail in our paper, "Elucidating gene expression patterns across multiple biological contexts through a large-scale investigation of transcriptomic datasets" (Figueiredo <em>et al.</em>, 2022) which aims at revealing common and specific biological processes and mechanisms across contexts by identifying transcriptional patterns that are unique to various cell types, tissues, and cell lines, as well as patterns which are consistent across them.</p>
Raw data for "Plot-scale variability of organic carbon in temperate agricultural soils - Implications for soil monitoring"
<p>This dataset is the raw data that belongs to a peer-reviewed study on the small-distance variability of soil organic carbon in agricultural soils in Germany. It consists of three different files. The first file gives the coordinates of the 16 soil cores that were taken at each of the 16 sites (eight cropland and eight grassland sites). The second file gives the soil properties measured at each individual core (n=16 per site) and the third file the soil properties measured at each indivdual soil profile (n=6 per site).</p>
Supporting information for Spatial scales of the velocity shear layer and Kelvin-Helmholtz waves on the magnetopause: First statistical results
<p>Kelvin-Helmholtz (KH) waves observed by ARTEMIS P1 from 2015 to 2020. From the first column to the last column is: probe, date, time interval of KH waves, the location of KH waves in GSM coordinate, and the dominate period, phase speed, and wavelength of KH waves.</p>
Fine-scale ecological and anthropogenic variables predict the habitat use and detectability of sloth bears in the Churia habitat of east Nepal
<p>Once widespread throughout the tropical forests of the Indian Subcontinent, the sloth bears have suffered a rapid range collapse and local extirpations in the recent decades. A significant portion of their current distribution range is situated outside of the protected areas (PAs). These unprotected sloth bear populations are under tremendous human pressures, but little is known about the patterns and determinants of their occurrence in most of these regions. The situation is more prevalent in Nepal where virtually no systematic information is available for sloth bears living outside of the PAs. We undertook a sign survey-based single-season occupancy study intending to overcome this information gap for the sloth bear populations residing in the Trijuga forest of southeast Nepal. Sloth bear sign detection histories and field-based covariates data were collected between 2nd October to 3rd December 2020 at the 74 randomly chosen 4-km^2 grid cells using a varying number of 400m long transects in each grid cell. From our results, the model-averaged estimate of site use probability (ψ ± SE) was estimated to be 0.432 ± 0.039, which is a 13% increase from the naïve estimate (0.297) not accounting for imperfect detections of sloth bear signs. The presence of termite mound and the distance to the nearest water source were the most important variables affecting the habitat use probability of sloth bears. The average site-level detectability (p ± SE) of sloth bear signs was estimated to be 0.195 ± 0.003 and was significantly determined by the index of human disturbances. We recommend considering the importance of fine-scale ecological and anthropogenic factors in predicting the sloth bear-habitat relationships across their range in the Churia habitat of Nepal, and more specifically in the unprotected areas.</p>
Colour illustrations. Flowers, fruits, leaves and seeds of Musa itinerans (background photo by D.T. Vu); from top to bottom and left to right: colony on PDA after 14 d at 24 °C in darkness (left = obverse,right = reverse), sporodochia formed on CLA, aerial conidiophore, aerial conidiogenous cells, aerial conidia, sporodochial conidia. Scale bars: black = 20 µm, white = 10 µm. in Fusarium chuoi R. Hill, Gaya, D.T. Vu, Sand.-Den. & Crous, R. Hill, Gaya, D.T. Vu, Sand.-Den. & Crous sp. nov.
Colour illustrations. Flowers, fruits, leaves and seeds of Musa itinerans (background photo by D.T. Vu); from top to bottom and left to right: colony on PDA after 14 d at 24 °C in darkness (left = obverse,right = reverse), sporodochia formed on CLA, aerial conidiophore, aerial conidiogenous cells, aerial conidia, sporodochial conidia. Scale bars: black = 20 µm, white = 10 µm.
Data from: Turnover and nestedness drive plant diversity benefits of organic farming from local to landscape scales
<p>Biodiversity-benefits of organic farming have mostly been documented at the field scale. However, these benefits from organic farming to species diversity may not propagate to larger scales, because variation in the management of different crop types and semi-natural habitats in conventional farms might allow species to cope with intensive crop management. We studied flowering plant communities using a spatially replicated design in different habitats (cereal, ley and semi-natural grasslands) in organic and conventional farms, distributed along a gradient in proportion of semi-natural grasslands. We developed a novel method to compare the rates of species turnover within and between habitats, and between the total species pools in the two farming systems. We found that the intra-habitat species turnover did not differ between organic and conventional farms, but that organic farms had a significantly higher inter-habitat turnover of flowering plant species compared to conventional ones. This was mainly driven by herbicide-sensitive species in cereal fields in organic farms, as these contained 2.5 times more species exclusive to cereal fields compared to conventional farms. The farm-scale species richness of flowering plants was higher in organic than conventional farms, but only in simple landscapes. At the inter-farm level, we found that 36% of species were shared between the two farming systems, 37% were specific to organic farms while 27% were specific to conventional ones. Thus, our results suggest that that both community nestedness and species turnover drive changes in species composition between the two farming systems. These large-scale shifts in species composition were driven by both species-specific herbicide and nitrogen sensitivity of plants. Our study demonstrates that organic farming should foster a diversity of flowering plant species from local to landscape scales, by promoting unique sets of arable-adapted species that are scarce in conventional systems. In terms of biodiversity conservation, our results call for promoting organic farming over large spatial extents, especially in simple landscapes, where such transitions would benefit plant diversity most<b>. </b></p>
Microswimmers in turbulent fluid flow of Taylor-scale Reynolds number Re = 36 dataset
<p><strong>The data includes the trajectories and the swimming velocities of individual microswimmers embedded in a turbulent fluid flow of Taylor-scale Reynolds number <span class="math-tex">\(Re_{\lambda} = 36\)</span> .</strong></p> <p>The net swimming velocity of a microswimmer is the sum of the intrinsic swimming velocity and the fluid velocity. The intrinsic swimming velocity is dictated by the swimming parameters, that is, the swimming speed <span class="math-tex">\(v_s\)</span> and the reorientation time <span class="math-tex">\(B\)</span>.</p> <p>Different values of swimming parameters are explored.</p> <table> <tbody> <tr> <td><strong>Item</strong></td> <td><strong><span class="math-tex">\(v_s\)</span></strong></td> <td><strong><span class="math-tex">\(B\)</span></strong></td> </tr> <tr> <td>S1</td> <td>5.24</td> <td>10</td> </tr> <tr> <td>S2</td> <td>0</td> <td>0</td> </tr> <tr> <td>S3</td> <td>5.24</td> <td>30</td> </tr> <tr> <td>S4</td> <td>5.24</td> <td>50</td> </tr> <tr> <td>S5</td> <td>2.62</td> <td>10</td> </tr> <tr> <td>S6</td> <td>0.53</td> <td>10</td> </tr> <tr> <td>S7</td> <td>4.39</td> <td>10</td> </tr> <tr> <td>S8</td> <td>4.18</td> <td>10</td> </tr> <tr> <td>S9</td> <td>6.80</td> <td>10</td> </tr> <tr> <td>S10</td> <td>15.47</td> <td>10</td> </tr> <tr> <td>S11</td> <td>5.24</td> <td>20</td> </tr> <tr> <td>S12</td> <td>13.08</td> <td>10</td> </tr> <tr> <td>S13</td> <td>8.25</td> <td>10</td> </tr> <tr> <td>S14</td> <td>9.49</td> <td>10</td> </tr> </tbody> </table> <p>Each column in the file corresponds to the position and net velocity of particles, the fluid vorticity at particle location, particle id, and time step.</p> <table> <tbody> <tr> <td>column number</td> <td>item</td> </tr> <tr> <td>0</td> <td>x - position</td> </tr> <tr> <td>1</td> <td>y - position</td> </tr> <tr> <td>2</td> <td>z - position</td> </tr> <tr> <td>3</td> <td>x - velocity</td> </tr> <tr> <td>4</td> <td>y - velocity</td> </tr> <tr> <td>5</td> <td>z - velocity</td> </tr> <tr> <td>15</td> <td>x - vorticity</td> </tr> <tr> <td>16</td> <td>y - vorticity</td> </tr> <tr> <td>17</td> <td>z - vorticity</td> </tr> <tr> <td>19</td> <td>particle id</td> </tr> <tr> <td>20</td> <td>time step</td> </tr> </tbody> </table>
◂Fig. 6 Scanning electronmicroscopy images of Ramisyllis kingghidorahi n. sp. A Anterior region up to first 17 segments, dorsal view. B Prostomium in detail, anterodorsal view (broken antennae on stub). C Prostomium and first segments in detail showing dorsal bands of cilia, dorsal view. D–F Pores on dorsal cirri. Scale bars: 1 mm A, 200 µm B, 300 µm C, 50 µm E, 30 µm D, F in Ramisyllis kingghidorahi n. sp., a new branching annelid from Japan
◂Fig. 6 Scanning electronmicroscopy images of Ramisyllis kingghidorahi n. sp. A Anterior region up to first 17 segments, dorsal view. B Prostomium in detail, anterodorsal view (broken antennae on stub). C Prostomium and first segments in detail showing dorsal bands of cilia, dorsal view. D–F Pores on dorsal cirri. Scale bars: 1 mm A, 200 µm B, 300 µm C, 50 µm E, 30 µm D, F
◂Fig. 10 Scanning electron microscopy images of Ramisyllis kingghidorahi n. sp., posterior-most regions and epithelium details. A–D Posterior ends. Arrow in C and D points to heavily ciliated anus. E– G Minute crests on the dorsal surface of midbody segments. Arrows point to crests laterally located on the dorsal surface. H Dorsal surface of posterior segments. I Clumps of cilia on dorsal surface of proventricular segments. Arrows pointing to pores in H. Scale bars: 100 µm A, B, I, 50 um C, G, 5 µm D, E,4 µm F, and 3 µm H in Ramisyllis kingghidorahi n. sp., a new branching annelid from Japan
◂Fig. 10 Scanning electron microscopy images of Ramisyllis kingghidorahi n. sp., posterior-most regions and epithelium details. A–D Posterior ends. Arrow in C and D points to heavily ciliated anus. E– G Minute crests on the dorsal surface of midbody segments. Arrows point to crests laterally located on the dorsal surface. H Dorsal surface of posterior segments. I Clumps of cilia on dorsal surface of proventricular segments. Arrows pointing to pores in H. Scale bars: 100 µm A, B, I, 50 um C, G, 5 µm D, E,4 µm F, and 3 µm H
◂Fig. 5 Ramisyllis kingghidorahi n. sp. and host sponge Petrosia sp. A Anterior region in dorsal view, prostomium faces down. B Fragment of one specimen. C-F–f Host sponges in their natural habitat. Scale bars: 2 mm A, B, 1 cm C, D and 5 mm E, F in Ramisyllis kingghidorahi n. sp., a new branching annelid from Japan
◂Fig. 5 Ramisyllis kingghidorahi n. sp. and host sponge Petrosia sp. A Anterior region in dorsal view, prostomium faces down. B Fragment of one specimen. C-F–f Host sponges in their natural habitat. Scale bars: 2 mm A, B, 1 cm C, D and 5 mm E, F
◂Fig. 9 Scanning electron microscopy images of branches of Ramisyllis kingghidorahi n. sp. A–F Midbody branching regions with segments of different morphologies, as long as wide with long dorsal cirri in A–C, much longer with short dorsal cirri in D, E and F Details of cirri alternation in length. A, C, E–F In dorsal view; B and D in ventral view. Scale bars: 200 µm A, C, 100 µm B, F, 400 µm D, and 500 µm E in Ramisyllis kingghidorahi n. sp., a new branching annelid from Japan
◂Fig. 9 Scanning electron microscopy images of branches of Ramisyllis kingghidorahi n. sp. A–F Midbody branching regions with segments of different morphologies, as long as wide with long dorsal cirri in A–C, much longer with short dorsal cirri in D, E and F Details of cirri alternation in length. A, C, E–F In dorsal view; B and D in ventral view. Scale bars: 200 µm A, C, 100 µm B, F, 400 µm D, and 500 µm E
Exploratory surveys in Taiwan of the roseau cane scale Nipponaclerda biwakoensis Kuwana and its associated parasitoids
<p>Roseau cane (<em>Phragmites australis</em> (Cav). Trin. ex Steud.) is the dominant plant species of the Mississippi River Delta in Louisiana, USA, and protects marsh communities from erosion and storm-related impacts, maintaining shipping channels and oil infrastructure. Widespread dieback and thinning of <em>P. australis</em> were noted in the Mississippi River Delta in the fall of 2016. Invasive populations of the roseau cane scale (<em>Nipponaclerda biwakoensis</em> Kuwana), which is native to Asia, were found at outbreak levels in the stands. Subsequent research has implicated <em>N. biwakoensis</em> in the diebacks. To provide a safe, cost-effective, and long-term approach for the management of this invasive scale, classical (or importation) biological control methods are being considered. As the first step to developing biological control, research evaluating the natural enemies of the <em>N. biwakoensis</em> in the native range is necessary. This study investigated the population dynamics of the <em>N. biwakoensis</em> and its associated parasitoids on P. australis in Taiwan from July to November 2019 at five study sites. The scale densities increased over the season and peaked in September (85.77±3.63 scale per meter stem). An average of 14.50% adult female scales was parasitized and parasitism was highest in July. The parasitism rate of the immature scales was overall low (2.25%). Four endoparasitoid wasp species were collected and identified as <em>Astymachus lasallei</em>, <em>Boucekiella depressa</em>, <em>Neastymachus japonicus</em>, and <em>Aprostocetus</em> sp. <em>Astymachus lasallei</em> was the dominant wasp species parasitizing immature scales and <em>N. japonicus</em> was the dominant species found parasitizing adult female scales. Multiparasitism frequently occurred between <em>A. lasallei</em> and <em>B. depressa</em> and the latter has been reported as a hyperparasitoid. Overall, this study provides information on the identity and role of parasitoids of <em>N. biwakoensis</em> in its native range, which will aid in developing a potential classical biological control as a management tool for the invasive <em>N. biwakoensis</em>.</p>
◂Fig. 8 Light microscope images of living specimens of Ramisyllis kingghidorahi n. sp. A Branching point. B, E–G Posterior ends showing pygidia. C, D, H, I Midbody segments in regions of long dorsal cirri. Arrows point to the ventral blood vessel in H and the digestive tract in I.A, D, E, and I in dorsal view. B, C, F and H in ventral view. G In lateral view. Scale bars: 500 µm A, E, 200 µm B, C, D, 100 µm F, H, I, and 50 µm G in Ramisyllis kingghidorahi n. sp., a new branching annelid from Japan
◂Fig. 8 Light microscope images of living specimens of Ramisyllis kingghidorahi n. sp. A Branching point. B, E–G Posterior ends showing pygidia. C, D, H, I Midbody segments in regions of long dorsal cirri. Arrows point to the ventral blood vessel in H and the digestive tract in I.A, D, E, and I in dorsal view. B, C, F and H in ventral view. G In lateral view. Scale bars: 500 µm A, E, 200 µm B, C, D, 100 µm F, H, I, and 50 µm G
FIGURE. Puccinia klugkistiana on Ligustrum obtusifolium (A–F, N, O, P) and Cleistogenes hackelii (G–N). A. Plant hedges producing spermogonia and aecia in the field. B. Spermogonia on the upper leaf surface. C. Vertical section of an aecium surrounded with peridia. D. Aecia on the lower leaf surface. E. Vertical section of a spermogonium. F. Aeciospores. G. Uredinia on the leaf surface. H. Vertical section of a uredinium. I. Urediniospores. J, K. Telia on the leaf surface. L. Teliospores. M. Urediniospore observed under SEM. N. Vertical section of an uredinium observed under SEM. O. Aecium observed under SEM. P. Aeciospores with various sizes of verrucae on the surface observed under SEM. Scale bars: C = 100 μm, E, F = 20 μm, H, I = 30 μm, M = 5 μm, P = 10 μm, H, L, O = 40 μm. in Phylogenetic approach for identification and life cycles of Puccinia (Pucciniaceae) species on Poaceae from northeastern China
FIGURE. Puccinia klugkistiana on Ligustrum obtusifolium (A–F, N, O, P) and Cleistogenes hackelii (G–N). A. Plant hedges producing spermogonia and aecia in the field. B. Spermogonia on the upper leaf surface. C. Vertical section of an aecium surrounded with peridia. D. Aecia on the lower leaf surface. E. Vertical section of a spermogonium. F. Aeciospores. G. Uredinia on the leaf surface. H. Vertical section of a uredinium. I. Urediniospores. J, K. Telia on the leaf surface. L. Teliospores. M. Urediniospore observed under SEM. N. Vertical section of an uredinium observed under SEM. O. Aecium observed under SEM. P. Aeciospores with various sizes of verrucae on the surface observed under SEM. Scale bars: C = 100 μm, E, F = 20 μm, H, I = 30 μm, M = 5 μm, P = 10 μm, H, L, O = 40 μm.
FIGURE. Puccinia cerinthes-agropyrina on Clematis sp. A. Plants producing spermogonia and aecia on the leaves and stems in the field. B. Spermogonia and aecia on the lower leaf surface. C. Vertical section of a spermogonium. D. Aecia on the stem. E. Aeciospores. F. Aeciospore with verrucose surface observed under SEM. G. Aecium observed under SEM. H. Vertical section of an aecium. Scale bars: C = 20 μm, E, H = 30 μm, F = 5 μm, G = 100 μm. in Phylogenetic approach for identification and life cycles of Puccinia (Pucciniaceae) species on Poaceae from northeastern China
FIGURE. Puccinia cerinthes-agropyrina on Clematis sp. A. Plants producing spermogonia and aecia on the leaves and stems in the field. B. Spermogonia and aecia on the lower leaf surface. C. Vertical section of a spermogonium. D. Aecia on the stem. E. Aeciospores. F. Aeciospore with verrucose surface observed under SEM. G. Aecium observed under SEM. H. Vertical section of an aecium. Scale bars: C = 20 μm, E, H = 30 μm, F = 5 μm, G = 100 μm.
FIGURE. Puccinia phragmitis on Rumex patientia (A–E, I, K) and Phragmites australis (F–H, J). A, B Spermogonia and aecia on the lower leaf surface. C. Vertical section of a spermogonium. D. Vertical section of an aecium surrounded with peridia. E. Aeciospores. F, G. Telia on the leaf surface. H. Teliospores. I. Aecium observed under SEM. J. Vertical section of a telium. K. Aeciospores with various sizes of verrucae on the surface observed under SEM. Scale bars: C, D, E = 30 μm, H = 10 μm, I = 100 μm, J = 20 μm, K = 3 μm. in Phylogenetic approach for identification and life cycles of Puccinia (Pucciniaceae) species on Poaceae from northeastern China
FIGURE. Puccinia phragmitis on Rumex patientia (A–E, I, K) and Phragmites australis (F–H, J). A, B Spermogonia and aecia on the lower leaf surface. C. Vertical section of a spermogonium. D. Vertical section of an aecium surrounded with peridia. E. Aeciospores. F, G. Telia on the leaf surface. H. Teliospores. I. Aecium observed under SEM. J. Vertical section of a telium. K. Aeciospores with various sizes of verrucae on the surface observed under SEM. Scale bars: C, D, E = 30 μm, H = 10 μm, I = 100 μm, J = 20 μm, K = 3 μm.
FIGURE. Puccinia elymi on species of Poaceae. A, B. Telia on the leaf surface. C. Teliospores. D. Vertical section of a telium. Scale bars: C = 30 μm, D = 20 μm. in Phylogenetic approach for identification and life cycles of Puccinia (Pucciniaceae) species on Poaceae from northeastern China
FIGURE. Puccinia elymi on species of Poaceae. A, B. Telia on the leaf surface. C. Teliospores. D. Vertical section of a telium. Scale bars: C = 30 μm, D = 20 μm.
FIGURE. Puccinia miscanthi on Plantago asiatica (A–H) and Miscanthus sacchariflorus (I–Q). A. Plants producing spermogonia and aecia on the leaf surface. B. Spermogonia on the leaf surface. C. Aecia on lower leaf surface. D. Vertical section of a spermogonium. E. Aeciospores. F. Vertical section of an aecium observed under SEM. G. Aeciospores with verrucose surface observed by SEM. H. Vertical section of an aecium surrounded by peridia. I. Plants producing uredinia on the leaf surface in the field. J. Vertical section of an uredinium with paraphyses. K. Urediniospores. L. Uredinia on the leaf surface. M. Uredinium on the leaf surface observed under SEM. N. Urediniospore with echinulate surface observed under SEM. O. Telia on the leaf surface. P. Vertical section of a telium. Q. Teliospores. Scale bars: D, E, K = 20 μm, F, H, M = 100 μm, G = 5 μm, J, P, Q = 30 μm, N = 10 μm. in Phylogenetic approach for identification and life cycles of Puccinia (Pucciniaceae) species on Poaceae from northeastern China
FIGURE. Puccinia miscanthi on Plantago asiatica (A–H) and Miscanthus sacchariflorus (I–Q). A. Plants producing spermogonia and aecia on the leaf surface. B. Spermogonia on the leaf surface. C. Aecia on lower leaf surface. D. Vertical section of a spermogonium. E. Aeciospores. F. Vertical section of an aecium observed under SEM. G. Aeciospores with verrucose surface observed by SEM. H. Vertical section of an aecium surrounded by peridia. I. Plants producing uredinia on the leaf surface in the field. J. Vertical section of an uredinium with paraphyses. K. Urediniospores. L. Uredinia on the leaf surface. M. Uredinium on the leaf surface observed under SEM. N. Urediniospore with echinulate surface observed under SEM. O. Telia on the leaf surface. P. Vertical section of a telium. Q. Teliospores. Scale bars: D, E, K = 20 μm, F, H, M = 100 μm, G = 5 μm, J, P, Q = 30 μm, N = 10 μm.
FIGURE. Puccinia triticina on species of Poaceae. A. Vertical section of an uredinium. Scale bars: A = 30 μm. in Phylogenetic approach for identification and life cycles of Puccinia (Pucciniaceae) species on Poaceae from northeastern China
FIGURE. Puccinia triticina on species of Poaceae. A. Vertical section of an uredinium. Scale bars: A = 30 μm.
ScienceDex guides
Understand access before you commit
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.