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96 results for “field methods”
Figure 4 in Evaluation of geostatistical method and hybrid Artificial Neural Network with imperialist competitive algorithm for predicting distribution pattern of Tetranychus urticae (Acari: Tetranychidae) in cucumber field of Behbahan, Iran
Figure 4. Flowchart of Imperialist Competitive Algorithm (AtashpazGargari 2009).
Figure 7 in Evaluation of geostatistical method and hybrid Artificial Neural Network with imperialist competitive algorithm for predicting distribution pattern of Tetranychus urticae (Acari: Tetranychidae) in cucumber field of Behbahan, Iran
Figure 7. Distribution of T. urticae in different stages of sampling.
Reviving diversity: cryoprotectants and culturing methods enhance recovery of mammalian gut microbes from field samples
<p>Welcome!</p> <p>Here you will find the codes used in the analysis we ran for our manuscript titled "Reviving diversity: cryoprotectants and culturing methods enhance recovery of mammalian gut microbes from field samples". We would be happy to help in way we can, so please do not hesitate to reach out if you have questions or suggestions.</p> <p>In summary, we developed this study in response to challenges encountered in our own field research. Recent advancements in culturomics and microbiology are enabling us to further explore the realm of microbiome science. We aspire for this study to serve as a foundational step toward identifying preservation methods that can help protect the microbial communities of wild animals.</p> <p>Our study aims are:</p> <ol> <li>The primary objective of this study was to evaluate the effectiveness of various preservation solutions in maintaining microbial integrity of gut samples during collection and for a short duration, simulating transportation conditions, prior to long-term storage at -80°C. We cultivated the samples in three distinct culture media to maximize the recovery of microbial diversity.</li> <li>The second objective was to compare the inventory of the preserved and cultured microbial community to that of the original uncultured samples, aiming to determine whether the preservation solutions retained unique taxa absent in the frozen original samples.</li> </ol> <p>Notes to keep in mind:</p> <ol> <li>We chose preservation solutions that have already been described for microbial culturing.</li> <li>We chose culture media that have already been described for microbial culturing, especially gut microbiome samples.</li> </ol> <p><em>As you go through the Rmd document included here, please make sure all documents have been properly downloaded. Additionally, please make sure to change the names of the alpha diversity metric files in the Rmd to that of the files here as they were modified for proper uploading methods here. </em></p>
Data from: Telemetry tails: A practical method for attaching animal-borne devices to small vertebrates in the field
<p><b><i>Context.</i></b> Continued miniaturisation of tracking technology increases its utility in animal applications. However, species morphology often dictates the type of animal-borne device (ABD) that can be used, and how it is attached. The morphology of species within Peramelemorphia preclude them from the standard collar attachment of ABDs for terrestrial mammals.</p> <p><b><i>Aims.</i></b> This paper describes a method for the tail-mount attachment of ABDs, and deployment results for Peramelemorphia across arid, semi-arid, and temperate Australia to <b>(a)</b> test the performance of attachments and ABDs in the field, and, <b>(b) </b>discuss the animal welfare considerations for this attachment method. </p> <p><b><i>Methods.</i></b> Tail-mount attachment of ABDs were field-tested on a total of 80 greater bilbies (<i>Macrotis lagotis</i>), and 14 long-nosed bandicoots (<i>Perameles nasuta</i>). </p> <p><b><i>Key results.</i></b> Time to natural detachment (TTND) was between 2 and 52 days with 65.74% (142 of 216) remaining on until manual removal. For ABDs that were manually removed, attachments were retained for up to 94 days. The method used for tail-mount attachment of ABDs to long-nosed bandicoots resulted in significantly shorter TTND compared to the method used for bilbies, and environmental factors (high temperatures and rainfall) had a negative effect on TTND. Tail-mount attached global positioning system (GPS) sensors collected large quantities of accurate data with a maximum fix success rate of 83.38%. Damage to GPS (antenna breakage and water ingress) during deployment, however, impacted performance. In environments with frequent rainfall and waterlogged soils, the tape on a small proportion (6.25%) of (n = 192) attachments to bilbies caused tail injury. All injuries were resolvable with most requiring minimal to no veterinary intervention. </p> <p><b><i>Key conclusions. </i></b>Attachment longevity can be affected by how the ABD is mounted to the tail, the species, and the deployment environment. The environment can also affect which adhesive tapes are suitable for ABD attachment. However, this method is highly modifiable, practical for field application, and can have long retention times relative to other temporary methods.</p> <p><b><i>Implications. </i></b>This ABD tail-mount attachment method adds another tool to the telemetry tool-kit, with all the benefits of a low-tech, low-cost, passive drop-off type attachment. This method has demonstrated practicality for Peramelemorphia, with potential application to other suitable small vertebrates.</p>
Supplementary Data to "Simulation of dendritic-eutectic growth with the phase-field method" by Seiz et al.
<p>Video files for several simulations conducted for the paper, showing more of the dynamic time evolution than possible in the paper itself.</p> <p> </p> <p>Update 24/04/2023: A few additional simulations were conducted to test for the applicability of the theory delineating the dendritic-eutectic regime from the eutectic regime. Videos of these plus some additional data is deposited at</p> <p> </p> <p>https://zenodo.org/record/7858461</p> <p> </p> <p><br> All videos show the Cu composition field, with the color ranging from 0.02 (pure black) to 0.33 (pure white).<br> Thus black represents the fcc Al crystal, whitish-grey the Al2Cu intermetallic phase and grey shades in between the liquid melt, with lighter shades being richer in Cu.<br> Excluding the complete directional solidification videos (full*webm), all videos show regions of 280x250um^2, with the far-field to the right being cut off to emphasize the structure.<br> <br> {close,far}_d+e.webm:<br> Complete simulations resulting in a eutectic structure either growing close to the dendrite tip or far from it, cropped to slightly above the solidification front.<br> The same speed v=160um/s and melt composition c_0=0.12 are used, but two different gradients: 99K/mm for close growth and 24.7K/mm for far growth; at the even smaller gradient the eutectic is no longer in the moving window.<br> <br> traveling_oscillation.webm:<br> Complete simulation resulting in a eutectic with traveling oscillations. (v=160um/s, c_0=0.13, G=6.18K/mm)<br> <br> jump_d+e_e.webm:<br> Jumps from v = 160um/s to 320um/s at simulation start in order to move from a dendritic-eutectic morphology to a eutectic morphology.<br> After a eutectic morphology is obtained, the jump is reversed (around 17s into the video) and only a coarsening of the eutectic is observed.<br> <br> jump_e_d+e.webm:<br> Jumps from v=320um/s to 20um/s at simulation start in order to move from a eutectic morphology to a dendritic-eutectic morphology.<br> <br> full_cropped*webm:<br> Complete directional solidification for different alloy compositions and processing conditions yielding different structures. Cropped to slightly above the final maximum position of any solid phase, showing a 970x500um^2 domain.<br> A scaling to 50% of the original resolution is performed as some players/browsers have trouble with large resolutions.<br> e: primarily eutectic (v=320um/s, G=24.7K/mm, c_0 = 0.12)<br> d+e: dendritic-eutectic (v=160um/s, G=24.7K/mm, c_0 = 0.12)<br> <br> full_d.webm:<br> Same as above, only non-cropped as the structure fills the entire simulation box (1500x500um^2). (v=320um/s, G=24.7K/mm, c_0 = 0.08)</p>
Flow-field correction method to constrain AMOC in coupled model (IPSL-CM6A-LR)
<p>We use the standard version of IPSL-CM6A-LR (Boucher et al., 2020). The ocean component of IPSL-CM6A-LR is the NEMO oceanic model Version 3.6. The dynhpg.F90 file is a modified version of the routine that implements the flow-field correction method, and the namelist_ORCA1_cfg is the modified namelist used to activate the flow field correction, set the parameters, and read the input temperature, salinity, and mask. The mask specifies the region where this method is applied.</p> <p>To implement this method using the IPSL coupled model, consider following these steps:</p> <p>1. Install the standard configuration in a path<br> 2. Copy the provided dynhpg.F90 in modipsl/modeles/NEMOGCM/CONFIG/ORCA1_LIM3_PISCES/MY_SRC<br> 3. Compile<br> 3. Copy and modify the namelist_ORCA1_cfg in modipsl/config/IPSLCM6/testffc/PARAM</p> <p>The input conservative temperature (in degC), absolute salinity (in g/kg), and mask are provided to the model for the flow field correction are available in the following files:</p> <p>data_sal_sa_1.5LFC.nc (salinity) <br> data_sal_sa_weak1.5LFC.nc (salinity)<br> data_tem_bigthetao_1.5LFC.nc (temperature)<br> data_tem_bigthetao_weak1.5LFC.nc (temperature)<br> rhdmsk_data_bothBC2.v2.nc (mask)</p> <p>Note that data_sal_sa_1.5LFC.nc and data_tem_bigthetao_1.5LFC.nc are used to constrain the AMOC to the strong state in Jiang et al., (2023). data_sal_sa_weak1.5LFC.nc and data_tem_bigthetao_weak1.5LFC.nc are used to constrain it to the weak state in Jiang et al., (2023).</p> <p>Finally, some of the main simulated outputs are given. All the outputs are the annual mean ensemble mean (3 members) data lasting for 100 years. The initial states of the 3 members are sampled in the years of 1850, 2000 and 2080 of the CMIP6 piControl simulation available on ESGF, corresponding to neutral, strong, and weak AMOC states respectively.</p> <p>heatc_strong_3runs_1Y.nc (ocean heat content in J/m2)<br> sos_strong_3runs_1Y.nc (sea surface salinity in psu)<br> tos_strong_3runs_1Y.nc (sea surface temperature in degC)<br> precip_strong_3runs_1Y.nc (precipitation in kg/(s*m2))<br> diaptrW_strong_3runs_1Y.nc (meridional streamfunction in Sv)<br> slp_strong_3runs_1Y.nc (sea level pressure in Pa)<br> geop500_strong_3runs_1Y.nc (geopotential height at 500 hPa in m)<br> nettop0_strong_3runs_1Y.nc (clear-sky solar radiation at the top of atmosphere in W/m2)<br> nettop_strong_3runs_1Y.nc (net downward flux at the top of atmosphere in W/m2)<br> t2m_strong_3runs_1Y.nc (air temperature at 2-m in K)<br> vitu850_strong_3runs_1Y.nc (zonal wind at 850 hPa in m/s)<br> cld_strong_3runs_1Y.nc (low-level and high-level cloudiness, unitless)<br> tauuo_strong_3runs_1Y.nc (surface downward stress in the x-direction in N/m2)<br> tauvo_strong_3runs_1Y.nc (surface downward stress in the y-direction in N/m2)</p> <p>The files listed above are the results from simulations where the AMOC is constrained to the strong state (i.e., using the input data_tem_bigthetao_1.5LFC.nc and data_sal_sa_1.5LFC.nc). Similarly, the same fields from simulations where the AMOC is constrained to the weak state (i.e., using the input data_tem_bigthetao_weak1.5LFC.nc and data_sal_sa_weak1.5LFC.nc) are:</p> <p>heatc_weak_3runs_1Y.nc (ocean heat content in J/m2)<br> sos_weak_3runs_1Y.nc (sea surface salinity in psu)<br> tos_weak_3runs_1Y.nc (sea surface temperature in degC)<br> precip_weak_3runs_1Y.nc (precipitation in kg/(s*m2))<br> diaptrW_weak_3runs_1Y.nc (meridional streamfunction in Sv)<br> slp_weak_3runs_1Y.nc (sea level pressure in Pa)<br> geop500_weak_3runs_1Y.nc (geopotential height at 500 hPa in m)<br> nettop0_weak_3runs_1Y.nc (clear-sky solar radiation at the top of atmosphere in W/m2)<br> nettop_weak_3runs_1Y.nc (net downward flux at the top of atmosphere in W/m2)<br> t2m_weak_3runs_1Y.nc (air temperature at 2-m in K)<br> vitu850_weak_3runs_1Y.nc (zonal wind at 850 hPa in m/s)<br> cld_weak_3runs_1Y.nc (low-level and high-level cloudiness, unitless)<br> tauuo_weak_3runs_1Y.nc (surface downward stress in the x-direction in N/m2)<br> tauvo_weak_3runs_1Y.nc (surface downward stress in the y-direction in N/m2)</p> <p> </p>
Field testing a 13C labeling method in an East African ant-plant
<p>Tree carbon allocation is a dynamic process that depends on the tree's environment, but we know relatively little about how biotic interactions influece these dynamics. In central Kenya, the loss of vertebrate herbivores and the savanna's invasion by the ant <em>Pheidole megacephala</em> are disrupting mutualisms between the founational tree <em>Acacia drepanolobium</em> and its native ant defenders. Here we piloted a <sup>13</sup>Carbon (C) pulse-labeling mathod to investigate the influece of these biotic interactions on C allocation strategies by adult trees in situ. Trees withstood experimental conditions and took up sufficient labeled <sup>13</sup>CO<sub>2 </sub>for <sup>13</sup>C to be detected in various C sinks, including ant mutualists. The <sup>13</sup>C in ants collected shortly after labeling suggested that trees exposed to herbivores allocated relatively more newly assimilated C to native ant defenders. Our results demonstrate the viability of the pulse-labeling method and suggest the C allocation to ant partners depends on the biotic context of the tree, but further investigation with replication is needed to characterize such differences in relation to invasion and herbivore loss.</p>
Data from: Herbicide screening and application method development for sustainable weed management in Tagetes erecta L. fields
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Field testing a 13C labeling method in an East African ant-plant
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Data from: Apparent annual survival estimates of tropical songbirds better reflect life history variation when based on intensive field methods
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Data from: What smells? Developing in-field methods to characterize the chemical composition of wild mammalian scent cues
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Data from: Telemetry tails: A practical method for attaching animal-borne devices to small vertebrates in the field
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FIGURES 6–10. Panguana Field Station and collection methods. 6 in Mantodea of Panguana (Insecta: Dictyoptera)
FIGURES 6–10. Panguana Field Station and collection methods. 6. Partial view of the station. 7. Manually operated light-trap with enery-saving lamps. 8. Manually operated LED light-trap. 9. Automatic lower canopy light-trap. 10. Malaise trap.
Data from: The Automated Root Exudate System (ARES): a method to apply solutes at regular intervals to soils in the field
1) Root exudation is a key component of nutrient and carbon dynamics in terrestrial ecosystems. Exudation rates vary widely by plant species and environmental conditions but our understanding of how root exudates affect soil functioning is incomplete, in part because there are few viable methods to manipulate root exudates in situ. To address this, we devised the Automated Root Exudate System (ARES), which simulates increased root exudation by applying small amounts of labile solutes at regular intervals in the field. 2) The ARES is a gravity-fed drip irrigation system comprising a reservoir bottle connected via a timer to a micro-hose irrigation grid covering c. 1 m2; 24 drip-tips are inserted into the soil to 4-cm depth to apply solutions into the rooting zone. We installed two ARES subplots within existing litter removal and control plots in a temperate deciduous woodland. We applied either an artificial root exudate solution (RE) or a procedural control solution (CP) to each subplot for 1 min d-1 during two growing seasons. To investigate the influence of root exudation on soil carbon dynamics, we measured soil respiration monthly and soil microbial biomass at the end of each growing season. 3) The ARES applied the solutions at a rate of c. 2 L m-2 wk-1 without significantly increasing soil water content. The application of RE solution had a clear effect on soil carbon dynamics but the response varied by litter treatment. Across two growing seasons, soil respiration was 25% higher in RE compared to CP subplots in the litter removal treatment, but not in the control plots. By contrast, we observed a significant increase in microbial biomass carbon (33%) and nitrogen (26%) in RE subplots in the control litter treatment. 4) The ARES is an effective, low-cost method to apply experimental solutions directly into the rooting zone in the field. The installation of the systems entails minimal disturbance to the soil and little maintenance is required. Although we used ARES to apply root exudate solution, the method can be used to apply many other treatments involving solute inputs at regular intervals in a wide range of ecosystems.
Data from: Technical note: rapid image-based field methods improve the quantification of termite mound structures and greenhouse-gas fluxes
Termite mounds (TMs) mediate biogeochemical processes with global relevance, such as turnover of the important greenhouse gas methane (CH4). However, the complex internal and external morphology of TMs impede an accurate quantitative description. Here we present two novel field methods, photogrammetry (PG) and cross-section image analysis, to quantify TM external and internal mound structure of 29 TMs of three termite species. Photogrammetry was used to measure epigeal volume (VE), surface area (AE) and mound basal area (AB) by reconstructing 3D models from digital photographs, and compared against a water-displacement method and the conventional approach of approximating TMs by simple geometric shapes. To describe TM internal structure, we introduce TM macro- and micro-porosity (θM and θµ), the volume fractions of macroscopic chambers, and microscopic pores in the wall material, respectively. Macro-porosity was estimated using image analysis of single TM cross-sections, and compared against full x-ray tomography (CT) scans of 17 TMs. For these TMs we present complete pore fractions to assess species-specific differences in internal structure. The PG method yielded VE nearly identical to a water-displacement method, while approximation of TMs by simple geometric shapes led to errors of 4–200 %. Likewise, using PG substantially improved the accuracy of CH4 emission estimates by 10–50 %. Comprehensive CT scanning revealed that investigated TMs have species-specific ranges of θM and θµ, but similar total porosity. Image analysis of single TM cross-sections produced good estimates of θM for species with thick walls and evenly distributed chambers. The new image-based methods allow rapid and accurate quantitative characterisation of TMs to answer ecological, physiological and biogeochemical questions. The PG method should be applied when measuring greenhouse-gas emissions from TMs to avoid large errors from inadequate shape approximations.
Data from: Pairing field methods to improve inference in wildlife surveys while accommodating detection covariance
It is common to use multiple field sampling methods when implementing wildlife surveys to compare method efficacy or cost-efficiency, integrate distinct pieces of information provided by separate methods, or evaluate method-specific biases and misclassification error. Existing models that combine information from multiple field methods or sampling devices permit rigorous comparison of method-specific detection parameters, enable estimation of additional parameters such as false-positive detection probability, and improve occurrence or abundance estimates, but with the assumption that the separate sampling methods produce detections independently of one another. This assumption is tenuous if methods are paired or deployed in close proximity simultaneously, a common practice that reduces the additional effort required to implement multiple methods and reduces the risk that differences between method-specific detection parameters are confounded by other environmental factors. We develop occupancy and spatial capture-recapture models that permit covariance between the detections produced by different methods, use simulation to compare estimator performance of the new models to models assuming independence, and provide an empirical application based upon American marten (Martes americana) surveys using paired remote cameras, hair-catches, and snow tracking. Simulation results indicate existing models that assume that methods independently detect organisms produce biased parameter estimates and substantially understate estimate uncertainty when this assumption is violated, while our reformulated models are robust to either methodological independence or covariance. Empirical results suggested that remote-cameras and snow-tracking had comparable probability of detecting present martens, but that snow-tracking also produced false-positive marten detections that could potentially substantially bias distribution estimates if not corrected for. Remote cameras detected marten individuals more readily than passive hair-catches. Inability to photographically distinguish individual sex did not appear to induce negative bias in camera density estimates; instead, hair-catches appeared to produce detection competition between individuals that may have been a source of negative bias. Our model reformulations broaden the range of circumstances in which analyses incorporating multiple sources of information can be robustly used, and our empirical results demonstrate that using multiple field-methods can enhance inferences regarding ecological parameters of interest and improve understanding of how reliably survey methods sample these parameters.
Data from: Hypothesis-driven and field-validated method to prioritize fragmentation mitigation efforts in road projects
The active field of connectivity conservation has provided numerous methods to identify wildlife corridors with the aim of reducing the ecological effect of fragmentation. Nevertheless, these methods often rely on untested hypotheses of animal movements, usually fail to generate fine-scale predictions of road crossing sites, and do not allow managers to prioritize crossing sites for implementing road fragmentation mitigation measures. We propose a new method that addresses these limitations. We illustrate this method with data from southwestern Gabon (central Africa). We used stratified random transect surveys conducted in two seasons to model the distribution of African forest elephant (Loxodonta cyclotis), forest buffalo (Syncerus caffer nanus), and sitatunga (Tragelaphus spekii) in a mosaic landscape along a 38.5 km unpaved road scheduled for paving. Using a validation data set of recorded crossing locations, we evaluated the performance of three types of models (local suitability, local least-cost movement, and regional least-cost movement) in predicting actual road crossings for each species, and developed a unique and flexible scoring method for prioritizing road sections for the implementation of road fragmentation mitigation measures. With a data set collected in <10 weeks of fieldwork, the method was able to identify seasonal changes in animal movements for buffalo and sitatunga that shift from a local exploitation of the site in the wet season to movements through the study site in the dry season, whereas elephants use the entire study area in both seasons. These three species highlighted the need to use species- and season-specific modeling of movement. From these movement models, the method ranked road sections for their suitability for implementing fragmentation mitigation efforts, allowing managers to adjust priority thresholds based on budgets and management goals. The method relies on data that can be obtained in a period compatible with environmental impact assessment constraints, and is flexible enough to incorporate other potential movement models and scoring criteria. This approach improves upon available methods and can help inform prioritization of road and other linear infrastructure segments that require impact mitigation methods to ensure long-term landscape connectivity.
Code for Atmospheric Research publication - Height correction method based on the Monin–Obukhov similarity theory for better prediction of near-surface wind fields
<p>In this repository, we include the source codes for WRF namelist, figures, and height correction used in the Atmospheric Research publication "Height correction method based on the Monin–Obukhov similarity theory for better prediction of near-surface wind fields"</p> <p>The namelist.wps and namelist.input in WRF namelist are using for making input and running simulation, and Fig scripts in Figure scripts are using for plotting the figures in the paper.</p> <p>hgt_corr in Height correction method is a code to correct the disparity of the 10-m height definition between the model and observation by applying the developed the height correction algorithm based on the Monin-Obukhov similarity theory.</p>
Relationship between eDNA concentration from metabarcoding method and stream fish density under field conditions
<p><span>Estimating abundance or biomass using eDNA metabarcoding is a powerful emerging tool </span><span>that may </span><span>provide an alternative to conventional laborious methods for biological monitoring. However, inferring aquatic macroorganism abundance or biomass using eDNA concentrations remains challenging</span><span>, especially in lotic environments</span><span>, because of several potential confounding factors. In this study, we tested whether quantitative eDNA metabarcoding that uses internal standard DNA can be used to estimate the abundance of four fish species. We collected eDNA samples and concurrently estimated fish densities using the conventional removal method in small tributaries in four seasons during a year. The effects of potential confounding factors</span><span>,</span><span> including the body mass of the individuals, water temperature, and discharge volume</span><span>,</span><span> were assessed using an allometric scaling model. We found an increasing trend of eDNA concentration against the increase in abundance across all species. In the most abundant species, </span><span>a </span><span>significant increase in the precision of predicted abundance was achieved by considering confounding factors, such as season and discharge. Although this study successfully determined the relationships between eDNA concentration and fish abundance under lotic field conditions, it also identified several limitations of quantitative eDNA metabarcoding. The relationship between eDNA concentration and fish abundance in rare species showed significant variances in the </span><span>regression</span><span>. More sequencing depth may be necessary to detect rare species sufficiently. The eDNA concentration estimation error effect was significant</span><span>, </span><span>particularly among the samples that showed the same abundance figures by direct capture estimation. The utilization of quantitative eDNA metabarcoding may be suitable for organisms that are expected to have a substantial variation in their population density. More comparative studies with various conventional methods would be informative</span><span>,</span><span> especially in lotic field environments, to overcome these limitations and achieve wider applications of eDNA metabarcoding in future research and monitoring.</span></p>
Data for "A New Method of Three-Dimensional Location for Low-frequency Electric Field Detection Array"
<p>In a manuscript entitled “A New Method of Three-Dimensional Location for Low-frequency Electric Field Detection Array”, the lightning location data obtained by the low-frequency electric field detection array (LFEDA) were analyzed. The data of our results are including in the Data_for_Fig_0x.ogw. These files can be opened by Origin 9.0(or later). The data supports the aforementioned manuscript and can be used freely for scientific purposes with appropriate citation.</p>
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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)
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.