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1,291 results for “gap”
Measure of leaf area removed by insects in plants growing on gaps with and without ant gardens
<p>This databank compreend the instantaneous measure of leaf area removed by insects in 5 leaves of 1306 plants growing on gaps with and without ant gardens. The ant gardens (AGs) are associations of epyfites, planted and mantained by mutualistic ants whose defend this plants agaist herbivores. The ants are not restricted to the AGs, but instead, forage for food, particularly extrafloral nectar of plants growing along the gap area. Particularly on Amazon forest, the most frequently ants associated to AGs are Crematogaster levior (Myrmicinae) and Camponotus femoratus (Formicinae), living together in the AGS in a parabiotic association and present in all AGs studied. The idea of the study behind the collection of these data is to determine if the proptective role of the AG ants can be extrapolated to the plants growing on the gap. So, we determined the effect of there extremely agressive ants on the herbivory of treelets and shrubs growing on the gap area.</p> <p> </p>
Dataset - A tool for monitoring and assessing gender gap in conferences
<p>This dataset presents the development of a tool based on performance indicators, which will allow monitoring and evaluating gender roles and inequalities in conferences. </p>
Making Drug Discovery Data FAIR: The Yawning Gap between Aspiration and Implementation (recording)
<p>Recording from BioITWorld October 2020</p> <p>The FAIRification of data is gaining impetus. However, for drug discovery, the envisaged increased flow of structures and bioactivity into major public databases, such as PubChem, has not happened. Reasons will be reviewed, but a key impediment is that even when supplementary data from journal papers is submitted to open repositories, such as figshare, there is neither push nor pull into PubChem. Ways to ameliorate this major bottleneck will be discussed, including bypassing the entombment of chemistry in PDFs</p> <p> </p>
Input dataset for gap filling and land-cover mapping using eumap Library - 2000 to 2020
<p>Benchmark dataset containing slope, elevation, Landsat temporal composites and night light raster layers, and the training samples (<a href="https://land.copernicus.eu/imagery-in-situ/lucas">LUCAS</a> and <a href="https://land.copernicus.eu/pan-european/corine-land-cover">CORINE</a> samples compilation) to map the land-cover in different areas of the European Union-EU.</p> <p>The slope and elevation refers to <a href="https://zenodo.org/record/4057883#.X3MJ0Nkmz0q">Digital Terrain Model for Continental Europe</a>, and the night light images are from <a href="https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/VNP46A1/">VNP46A1 product (VIIRS/NPP Daily Gridded Day Night Band 500m)</a>. The temporal composites were based on <a href="https://glad.geog.umd.edu/ard/glad-landsat-ard">GLAD Landsat ARD</a>, considering the 4 seasons and 3 percentiles per season (25, 50 and 75), for 6 spectral (blue, green, red, NIR, SWIR1, SWIR2) and 1 thermal band, resulting at end in 88 Landsat composites per year. The images for each season were selected using the same calendar dates for all period:</p> <ul> <li>Winter: December 2 of previous year until March 20 of current year</li> <li>Spring: March 21 until June 24 of current year</li> <li>Summer: June 25 until September 12 of current year</li> <li>Fall: September 13 until December 1 of current year</li> </ul> <p>The temporal composites were generated to <a href="https://roda.sentinel-hub.com/sentinel-s2-l2a/readme.html">Sentinel-2 L2A</a> for 2018, 2019 and 2020, using the same approach (4 seasons x 3 percentiles x 6 spectral bands).</p> <p>The benchmark areas were selected according to the EU tiling system, which consists of 7,042 regular tiles with 30 x 30 km. The dataset uses the ETRS89-extended / LAEA Europe as spatial reference system (<a href="https://epsg.io/3035">EPSG:3035</a>), and all the raster layers have 1,000 x 1,000 pixels and 30m of spatial resolution.</p> <p>For all the EU the training samples will have 32 land-cover classes, varying according to the benchmark area:</p> <ul> <li>111: Urban fabric</li> <li>122: Road and rail networks and associated land</li> <li>123: Port areas</li> <li>124: Airports</li> <li>131: Mineral extraction sites</li> <li>132: Dump sites</li> <li>133: Construction sites</li> <li>141: Green urban areas</li> <li>211: Non-irrigated arable land</li> <li>212: Permanently irrigated arable land</li> <li>213: Rice fields</li> <li>221: Vineyards</li> <li>222: Fruit trees and berry plantations</li> <li>223: Olive groves</li> <li>231: Pastures</li> <li>311: Broad-leaved forest</li> <li>312: Coniferous forest</li> <li>321: Natural grasslands</li> <li>322: Moors and heathland</li> <li>323: Sclerophyllous vegetation</li> <li>324: Transitional woodland-shrub</li> <li>331: Beaches, dunes, sands</li> <li>332: Bare rocks</li> <li>333: Sparsely vegetated areas</li> <li>334: Burnt areas</li> <li>335: Glaciers and perpetual snow</li> <li>411: Inland wetlands</li> <li>421: Maritime wetlands</li> <li>511: Water courses</li> <li>512: Water bodies</li> <li>521: Coastal lagoons</li> <li>522: Estuaries</li> <li>523: Sea and ocean</li> </ul> <p>The gap filling validation data was generated by creating a mask of all nodata pixels (gaps) for each temporal composite, and then transposing that mask. All valid pixels covered by the transposed nodata mask are considered validation pixels. This method was chosen to retain the diversity of spatiotemporal nodata patterns that occur in the data. Each gap filling validation file contains 3 directory:</p> <ul> <li>raw: original temporal composite</li> <li>validation: transposed data</li> <li>filled_tmwm8: the best gap filling method that was tested</li> </ul> <p>See the <a href="https://gitlab.com/geoharmonizer_inea/eumap">eumap library</a> for more information about the gapfiling approach and land-cover mapping using this dataset.</p>
Mitochondrial genes from eighteen angiosperms fill sampling gaps for phylogenomic inferences of the early diversification of flowering plants
<p class="Default"><span>The early diversification of angiosperms is a rapid yet complicated process and thus it renders the phylogenetic analyses of early-diverging angiosperms much difficulty. Plastid and nuclear phylogenomic studies have raised several controversial hypotheses regarding the angiosperm phylogeny, whereas mitochondrial genomes have been largely ignored. In this study, we newly sequenced mitochondrial genomes from 18 angiosperms to fill the sampling gaps in magnoliids, Austrobaileyales, Chloranthales, Ceratophyllales, and early-diverging lineages of eudicots and monocots. A data matrix of 38 mitochondrial genes from 107 taxa was assembled to address this question. Although conflicting phylogenies were recovered in this study from different datasets and analytical methods, congruence was achieved regarding the deep relationships of several major angiosperm lineages: Chloranthales always groups with Ceratophyllales, Austrobaileyales is sister to mesangiosperms, and a previously unplaced clade—Dilleniales—is consistently resolved as a sister to superasterids. Substitutional saturation, GC compositional heterogeneity, and codon-usage bias are suggested as common reasons for the noisy signals that impact phylogenetic reconstructions, and angiosperm mitochondrial genes seem to hardly suffer from these factors. In addition, the 3<sup>rd</sup> codon positions of the mitochondrial genes contained more phylogenetic signals than the 1<sup>st</sup> and 2<sup>nd</sup> codon positions, which might be responsible for the incongruent results recovered among different datasets. Due to the rapid radiation process, the relationships among these early lineages are not well resolved. Nevertheless, this study based on mitochondrial genomes provides additional evidence and alternative hypotheses for the early evolution and diversification of angiosperms.</span></p>
FIGURE 9 in New early Pleistocene Alligator (Eusuchia: Crocodylia) from Florida bridges a gap in Alligator evolution
FIGURE 9. Dorsal osteoderms of the Alligator hailensis holotype (UF 224688). Scale = 2 cm.
A meta-analysis of tropical land-use change effects on the soil microbiome: emerging patterns and knowledge gaps
<p>Modifications to vegetation and soil due to changes in land use have the potential to alter the soil microbiome, with consequences for carbon and nutrient cycling. Despite the important function of soil microorganisms, little is known about their response to land-use change, especially in tropical regions where current rates of land conversion are greatest. The aim of this meta-analysis was to examine how land-use change influences soil microbial properties in tropical ecosystems and to identify current trends and knowledge gaps in the literature. We identified 83 published paired studies that reported data on microbial biomass, abundance, composition, and enzyme activity under representative land-use changes in the tropics. We calculated response ratios for studies that compared the following: reference forests to (a) agriculture, (b) pastures, (c) plantations, and (d) secondary forests. Here you will find all the raw and clean data used for the meta-analysis. </p>
Data from: A review of riverine ecosystem service quantification: research gaps and recommendations
1.Increasing demand for benefits provided by riverine ecosystems threatens their sustainable provision. The ecosystem service concept is a promising avenue to inform riverine ecosystem management, but several challenges have prevented the application of this concept. 2.We quantitatively assess the field of riverine ecosystem services' progress in meeting these challenges. We highlight conceptual and methodological gaps, which have impeded integration of the ecosystem service concept into management. 3.Across 89 relevant studies, 33 unique riverine ecosystem services were evaluated, for a total of 404 ecosystem service quantifications. Studies quantified between one and 23 ecosystem services, although the majority (55%) evaluated three or less. Among studies that quantified more than one service, 58% assessed interactions between services. Most studies (71%) did not include stakeholders in their quantification protocols, and 34% developed future scenarios of ecosystem service provision. Almost half (45%) conducted monetary valuation, using 16 methods. Only 9% did not quantify or discuss uncertainties associated with service quantification. The indicators and methods used to quantify the same type of ecosystem service varied. Only 3% of services used indicators of capacity, flow, and demand in concert. 4.Our results suggest indicators, data sources, and methods for quantifying riverine ecosystem services should be more clearly defined and accurately represent the service they intend to quantify. Furthermore, more assessments of multiple services across diverse spatial extents and of riverine service interactions are needed, with better inclusion of stakeholders. Addressing these challenges will help riverine ecosystem service science inform river management. 5.Synthesis and applications. The ecosystem service concept has great potential to inform riverine ecosystem management and decision making processes. However, this review of riverine ecosystem service quantification uncovers several remaining research gaps, impeding effective use of this tool to manage riverine ecosystems. We highlight these gaps and point to studies showcasing methods that can be used to address them.
Data from: Comparable disparity in the appendicular skeleton across the fish-tetrapod transition, and the morphological gap between fish and tetrapod postcrania
Appendicular skeletal traits are used to quantify changes in morphological disparity and morphospace occupation across the fish–tetrapod transition and to explore the informativeness of different data partitions in phylogeny reconstruction. Anterior appendicular data yield trees that differ little from those built from the full character set, whilst posterior appendicular data result in considerable loss of phylogenetic resolution and tree branch rearrangements. Overall, there is a significant incongruence in the signals associated with pectoral and pelvic data. The appendicular skeletons of fish and tetrapods attain similar levels of morphological disparity (at least when data are rarefied at the maximum sample size for fish in our study) and occupy similarly sized regions of morphospace. However, fish appear more dispersed in morphospace than tetrapods do. All taxa show a heterogeneous distribution in morphospace, and there is a clear separation between fish and tetrapods despite the presence of several evolutionarily intermediate taxa.
Data from: On the probabilities of branch durations and stratigraphic gaps in phylogenies of fossil taxa when rates of diversification vary over time
The time separating the first appearances of species from their divergences from related taxa affects assessments of macroevolutionary hypotheses about rates of anatomical or ecological change. Branch durations necessarily posit stratigraphic gaps in sampling within a clade over which we have failed to sample predecessors (ancestors) and over which there are no divergences leading to sampled relatives (sister taxa). The former reflects only sampling rates whereas the latter reflects sampling, origination and extinction rates. Because all three rates vary over time, the probability of a branch duration of any particular length will differ depending on when in the Phanerozoic that branch duration spans. Here, I present a birth death sampling model allowing interval to interval variation in diversification and sampling rates. Increasing either origination or sampling rates increases the probability of finding sister taxa that diverge both during and before intervals of high sampling/origination. Conversely, elevated extinction reduces the probability of divergences from sampled sister taxa before and during intervals of elevated extinction. In the case of total extinction, a Signor-Lipps will reduce expected sister-taxa leading up to the extinction, with the possible effect stretching back many millions of years when sampling is low. Simulations indicate that this approach provides reasonable estimates of branch duration probabilities under a variety of circumstances. Because our current probability models for describing morphological evolution are not as advanced as our methods for inferring diversification and sampling rates, branch duration priors allowing for time varying diversification and could be a potent tool for phylogenetic inference with fossil data.
Data from: Bridging the gap: parkour athletes provide new insights into locomotion energetics of arboreal apes
The tree canopy is an energetically challenging environment to traverse. Along with compliant vegetation, gaps in the canopy can prove energetically costly if they force a route-extending detour. Arboreal apes exhibit diverse locomotion strategies, including for gap crossing. Which one they employ in any given scenario may be influenced by the energy costs to do so, which are affected by the details of the immediate environment in combination with their body size. Measuring energetics of arboreal apes is not tractable; thus our knowledge in this area is limited. We devised a novel, custom-made experimental set-up to record the energy expenditure of parkour athletes tree-swaying, jumping and vertical climbing. The latter strategy was vastly more expensive, indicating that when energy economy is the focus arboreal apes will prioritize routes that limit height changes. Whether tree-swaying or jumping was most economical for the athletes depended upon interactions between tree stiffness, the distance to cross, number of tree-sways required and their own mass. Updated analysis of previous interspecific correlations suggests that whether the relative costs to vertical climb are size-invariant across primate species is complicated by details of the climbing context.
Data from: Gaps, an elusive source of phylogenetic information
Morrison (2009) raises a very fundamental question, "Why would phylogeneticists ignore computerized sequence alignment?" While well aware of the difficulties, he considers the whole issue is a 'gaping hole that needs to be filled'. Particularly with the expansion of genomic-scale data there are many advantages to using automated alignment for phylogenetic analyses, the most obvious being that it is much more efficient and potentially less prone to experimenter bias. So yes, it is obviously desirable to automate data preparation as far as possible, but the question remains whether we are yet at the stage that automated sequence alignment can obtain the full and correct phylogenetic information in the data. In this paper we use an example shorebird dataset to explore three related questions regarding the interplay between alignment and phylogeny estimation: 1) are gap-rich alignments reliable for phylogenetic inference? 2) How much phylogenetic information is contained in gaps as compared to sequences? 3) Are models of the insertion/deletion process essential, and if so at what phylogenetic depths? We report that there is considerable information created by the indel (insertion/deletion) process that is potentially available for phylogenetic inference. Ideally, we should be able to independently obtain the same tree from both sequences and from gaps; however there is still considerable variability in the alignments produced by different programs. We predict that better and more computationally tractable models of the indel process will be required before the information in gaps can be fully exploited for phylogenetic inference.
Data from: Delimiting species-poor datasets using single molecular markers: a study of barcode gaps, haplowebs and GMYC
Most single-locus molecular approaches to species delimitation available to date have been designed and tested on data sets comprising at least tens of species, whereas the opposite case (species-poor data sets for which the hypothesis that all individuals are conspecific cannot by rejected beforehand) has rarely been the focus of such attempts. Here we compare the performance of barcode gap detection, haplowebs and generalized mixed Yule–coalescent (GMYC) models to delineate chimpanzees and bonobos using nuclear sequence markers, then apply these single-locus species delimitation methods to data sets of one, three, or six species simulated under a wide range of population sizes, speciation rates, mutation rates and sampling efforts. Our results show that barcode gap detection and GMYC models are unable to delineate species properly in data sets composed of one or two species, two situations in which haplowebs outperform them. For data sets composed of three or six species, bGMYC and haplowebs outperform the single-threshold and multiple-threshold versions of GMYC, whereas a clear barcode gap is only observed when population sizes and speciation rates are both small. The latter conditions represent a "sweet spot" for molecular taxonomy where all the single-locus approaches tested work well; however, the performance of these methods decreases strongly when population sizes and speciation rates are high, suggesting that multilocus approaches may be necessary to tackle such cases.
Data from: Diversification practices reduce organic to conventional yield gap
Agriculture today places great strains on biodiversity, soils, water and the atmosphere, and these strains will be exacerbated if current trends in population growth, meat and energy consumption, and food waste continue. Thus, farming systems that are both highly productive and minimize environmental harms are critically needed. How organic agriculture may contribute to world food production has been subject to vigorous debate over the past decade. Here, we revisit this topic comparing organic and conventional yields with a new meta-dataset three times larger than previously used (115 studies containing more than 1000 observations) and a new hierarchical analytical framework that can better account for the heterogeneity and structure in the data. We find organic yields are only 19.2% (±3.7%) lower than conventional yields, a smaller yield gap than previous estimates. More importantly, we find entirely different effects of crop types and management practices on the yield gap compared with previous studies. For example, we found no significant differences in yields for leguminous versus non-leguminous crops, perennials versus annuals or developed versus developing countries. Instead, we found the novel result that two agricultural diversification practices, multi-cropping and crop rotations, substantially reduce the yield gap (to 9 ± 4% and 8 ± 5%, respectively) when the methods were applied in only organic systems. These promising results, based on robust analysis of a larger meta-dataset, suggest that appropriate investment in agroecological research to improve organic management systems could greatly reduce or eliminate the yield gap for some crops or regions.
Data from: Cladistic analysis of Caseidae (Caseasauria, Synapsida): using the gap-weighting method to include taxa based on incomplete specimens
Occupying the role of primary consumer and having an early–middle Permian age range, caseids (Caseasauria, Synapsida) are fundamental to the interpretation of the early history of terrestrial vertebrate ecosystems. Despite this importance, no comprehensive, species-level phylogenetic study of Caseidae has yet been performed. Herein, we present a phylogenetic analysis of the group, using gap weighting to include poorly known taxa. Besides the description and comments on the resultant topologies, some more general issues concerning cladistic methodologies are briefly addressed. This study highlights the importance of a total-evidence approach, including as many within-group taxa and characters as possible. Continuously varying characters, in the form of indices derived from measurement of individual skeletal elements, proved to be highly important, adding significantly to the resolution of, and support for, recovered trees. The utility of the postcranial skeleton in understanding relationships among basal synapsids is highlighted.
Data from: Complexity of possibly gapped histogram and analysis of histogram
We demonstrate that gaps and distributional patterns embedded within real-valued measurements are inseparable biological and mechanistic information contents of the system. Such patterns are discovered through data-driven possibly gapped histogram, which further leads to the geometry-based analysis of histogram (ANOHT). Constructing a possibly gapped histogram is a complex problem of statistical mechanics due to the ensemble of candidate histograms being captured by a two-layer Ising model. This construction is also a distinctive problem of Information Theory from the perspective of data compression via uniformity. By defining a Hamiltonian (or energy) as a sum of total coding lengths of boundaries and total decoding errors within bins, this issue of computing the minimum energy macroscopic states is surprisingly resolved by applying the hierarchical clustering algorithm. Thus, a possibly gapped histogram corresponds to a macro-state. And then the first phase of ANOHT is developed for simultaneous comparison of multiple treatments, while the second phase of ANOHT is developed based on classical empirical process theory for a tree-geometry that can check the authenticity of branches of the treatment tree. The well-known Iris data are used to illustrate our technical developments. Also, a large baseball pitching dataset and a heavily right-censored divorce data are analysed to showcase the existential gaps and utilities of ANOHT.
Daily cloud-gap-filled Terra–Aqua MODIS NDSI dataset over High Mountain Asia (2000-2024)
<p>1. The daily cloud-gap-filled (CGF) MODIS normalized difference snow index (NDSI) dataset over High Mountain Asia (HMA) (2000-2024) is generated by combining of the cubic spline interpolation (CSI) method and the Spatio-Temporal Weighted (STW) method. This dataset is derived from daily 500 m MOD10A1 (Terra) and MYD10A1 (Aqua) products.</p> <p>2. The cloud persistence days (CPD) dataset is also provided. The CPD represents the number of consecutive days of cloud observed for a pixel from the last cloud-free observation to the next cloud-free observation. And the CPD is used to determine the combination of CSI and STW method, which is expressed as: when CPD < 8 d, the CSI method is used; when CPD ≥ 8 d, the STW is used.</p> <p>3. The CGF MODIS NDSI dataset is provided in ENVI standard format (.img) and the CPD dataset is provided in Geotiff format. And they are all provided in a geographic projection using the WGS84 coordinate system at a 0.005° (about 500 m) resolution. The NDSI value ranges from 0~100 and the CPD value ranges from 0~366. The fill value of both dataset is set to 255 (outside the track coverage of MODIS product).</p> <p>4. The CGF MODIS NDSI dataset contains 25 compressed packages (named after the normal year) of the daily CGF MODIS NDSI dataset over HMA (2000-2024), and after uncompressing the files are named as “YYYYDDD_HMA_MODIS_NDSI_0.5km.img”. The CPD dataset contains 25 compressed packages (named after the normal year) of the daily CPD dataset over HMA (2000-2024), and after uncompressing the files are named as “YYYYDDD_CPD.tif”. The YYYY represents the year and the DDD represents Julian day (001-365/366).</p> <p>5. The accuracy of this dataset has been well evaluated based on in-situ snow depth (SD) observations and high-resolution snow cover maps derived from Landsat images. The detailed information can be found in the paper (Deng, G., Tang, Z., Dong, C., Shao, D., & Wang, X. (2024). Development and Evaluation of a Cloud-Gap-Filled MODIS Normalized Difference Snow Index Product over High Mountain Asia. <em>Remote Sensing</em>, <em>16</em>(1), 192. https://doi.org/<a href="https://doi.org/10.3390/rs16010192">10.3390/rs16010192</a>).</p>
Unconventional charge-density-wave gap in monolayer NbS2
<p>This repository contains the data and source code associated with the paper: *Unconventional charge-density-wave gap in monolayer NbS₂*.</p><p>Experimental setup</p><p>STM and STS were carried out at a base operating temperature of T₀ = 0.4 K after in-situ transfer from the preparation chamber. STS was performed with the lock-in technique. STM images were taken in constant current mode.</p><p>Computational setup</p><p>All DFT and DFPT calculations were performed using Quantum ESPRESSO 7.1.</p><p>Further information in the README file.</p>
Tsunami Deposits in the Guerrero Seismic Gap, Mexico: Insights from Location Analysis, Earthquake and Tsunami Models, and Proxy Dataset
<p><strong>Globally, the most significant tsunamigenic earthquakes have occurred along subduction zones. Catastrophic events surpassing magnitude 9, such as those witnessed in Chile, Sumatra, and Japan, have occurred in regions where instrumental records of similar events are lacking. Despite the absence of such occurrences along the 1000-kilometer-long Mexican subduction zone, historical and geological evidence strongly suggests the likelihood of a magnitude 8.6 tsunamigenic earthquake. However, the Guerrero seismic gap has remained devoid of high-magnitude earthquakes for over a century. In this study, we present findings from analyses of sediment grain size, geochemistry, microfossils, magnetic properties, and radiometric and optically stimulated luminescence dating conducted along the Guerrero coast. Our research provides compelling evidence of a 2000-year history of significant tsunamis triggered by potentially large earthquakes. Numerical modeling reinforces our conclusions, pointing to a magnitude >8 event occurring around the year 1300 in the Guerrero seismic gap. This evidence underscores the critical importance of evaluating earthquake and tsunami potential through long-term evidence and instrumental observations along subduction zones globally. Additionally, this dataset includes the locations of study sites, proxy data, and earthquake and tsunami models.</strong></p> <p><strong>Source data:</strong></p> <ol> <li>Grain size - Figure S1</li> <li>Geochemical - Figure S2</li> <li>Maximum tsunami wave amplitude - Figure 3d and S4</li> <li>Maximum tsunami wave amplitude - Figure S5c</li> </ol> <p> </p>
Experimental Estimation of Gap Thickness and Electrostatic Forces Between Contacting Surfaces Under Electroadhesion
<p>Electroadhesion (EA) is a promising technology with potential applications in robotics, automation, space missions, textiles, tactile displays, and some other fields where efficient and versatile adhesion is required. However, a comprehensive understanding of the physics behind it is lacking due to the limited development of theoretical models and insufficient experimental data to validate them. This article proposes a new and systematic approach based on electrical impedance measurements to infer the electrostatic forces between two dielectric materials under EA. The proposed approach is applied to tactile displays, where skin and voltage-induced touchscreen impedances are measured and subtracted from the total impedance to obtain the remaining impedance to estimate the electrostatic forces between the finger and the touchscreen. This approach also marks the first instance of experimental estimation of the average air gap thickness between a human finger and a voltage-induced capacitive touchscreen. Moreover, the effect of electrode polarization impedance on EA is investigated. Precise measurements of electrical impedances confirm that electrode polarization impedance exists in parallel with the impedance of the air gap, particularly at low frequencies, giving rise to the commonly observed charge leakage phenomenon in EA.</p>
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.