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831 results for “Partition”
Dataset for the SFmodel, applied in Evapotranspiration dynamics and partitioning in a grassed vineyard: ecophysiological and computational modelling approaches
<p>Dataset used for the SFmodel, applied in the work "Evapotranspiration dynamics and partitioning in a grassed vineyard: ecophysiological and computational modelling approaches".</p> <p>For units and nomenclature of the variables refer to Units_and_Nomenclature_for_SFmodel_in_Evapotranspiration_dynamics_and_partitioning_in_a_grassed_vineyard.pdf. </p>
Code, benchmarks and experiment data for the ICAPS 2024 paper "Merging or Computing Saturated Cost Partitionings? A Merge Strategy for the Merge-and-Shrink Framework"
<p>This bundle contains code, scripts and benchmarks for reproducing all experiments reported in the paper. It also contains the data generated for the paper. Finally, it contains an appendix with some more detailed results for the paper.</p> <p>appendix.pdf: document with more detailed results ommitted in the paper.</p> <p>sievers-et-al-icaps2024-fast-downward.zip contains the implementation based on Fast Downward. It also contains the experiment scripts compatible with Lab 7.1 for reproducing all experiments of the paper, under experiments/scp-ms. The scripts 2024-03-* contain configurations for running the experiments and the script paper-crc.py gathers the data and produces plots and tables. (Note that some adjustments to the scripts would need to be done because, e.g., the entire tree is not a repository anymore.)</p> <p>sievers-et-al-icaps2024-ipc-benchmarks.zip contains the IPC benchmarks. It consists of the STRIPS IPC benchmarks used in all optimal sequential tracks of IPCs up to 2023 (suite optimal_strips from https://github.com/aibasel/downward-benchmarks).</p> <p>sievers-et-al-icaps2024-lab.tar.gz contains a copy of Lab 7.1 (https://github.com/aibasel/lab).</p> <p>sievers-et-al-icaps2024-raw-data.zip and sievers-et-al-icaps2024-processed-data.zip contain the experimental data. Directories without the "-eval" ending (sievers-et-al-icaps2024-raw-data.zip) contain raw data, distributed over a subdirectory for each experiment. Each of these contain a subdirectory tree structure "runs-*" where each planner run has its own directory. For each run, there are symbolic links to the input PDDL files domain.pddl and problem.pddl (can be resolved by putting the benchmarks directory to the right place), the run log file "run.log" (stdout), possibly also a run error file "run.err" (stderr), the run script "run" used to start the experiment, and a "properties" file that contains data parsed from the log file(s). Directories with the "-eval" suffix (sievers-et-al-icaps2024-processed-data.zip) contain a "properties" file, which contains a JSON directory with combined data of all runs of the corresponding experiment. In essence, the properties file is the union over all properties files generated for each individual planner run.</p> <p>Note on license: we chose GPL v3.0 or later mainly because we consider our implementation based on Fast Downward the main contribution of this package, and Fast Downward comes with GPL v3.0. We only include a copy of Lab and the benchmarks for convenience.</p>
Data from: Dietary partitioning among three cryptobentic reef fish mesopredators revealed by visual analysis, metabarcoding of gut content, and stable isotope analysis
<p>Understanding how mesopredators partition their diet and the identity of consumed prey can assist in understanding the ecological role predators and prey play in ecosystem trophodynamics. Here, we assessed the diet of three common coral reef mesopredators; <em>Pseudochromis flavivertex</em>, <em>Pseudochromis fridmani</em>, and <em>Pseudochromis olivaceus</em> from the family Pseudochromidae, commonly known as dottybacks, using a combination of i) visual stomach content analysis, ii) stomach content DNA metabarcoding (18S, COI), and iii) stable isotope analysis (δ<sup>15</sup>N, δ<sup>13</sup>C). In addition, <em>P. flavivertex</em> is found in two distinct color morphs in the Red Sea, providing an opportunity to analyze intra-morph differences. These techniques revealed partitioning in the dietary composition and resource use among species. Arthropods comprised the main dietary component of <em>P. flavivertex</em> (18S > 60%; COI > 10%), and <em>P. olivaceus</em> (18S = 57.2%) while <em>P. fridmani</em> ingested predominantly mollusks (18S = 51.3%, COI = 24.6%). Despite being small predators, microplastics were found in the gut content of some of these fishes. Stable isotope analysis showed differences in species' isotopic niche breadth and trophic position. <em>Pseudochromis olivaceus</em> presented the largest isotopic niche (SEA<sub>C</sub> = 1.61‰<sup>2</sup>), while <em>P. fridmani</em> showed the smallest isotopic niche (SEA<sub>C</sub> = 0.45‰<sup>2</sup>) among species. Although the two techniques used for stomach content analysis did not show differences in the diet within color morphs of <em>P. flavivertex</em>, they differed in the isotopic niche and resource use. Despite our limited sampling, our findings provide evidence of species-specific differences in the trophic ecology of dottybacks and demonstrate their important role as predators of cryptic invertebrates and small fishes. This study highlights the importance of combining several approaches (short-term: visual analysis and DNA metabarcoding; and long-term: isotope analysis) when assessing the feeding habits of coral reef fish, as they provide complementary information necessary to delimit their niches and understand the role that small mesopredators play in coral reef ecosystems.</p>
Dataset for Evapotranspiration dynamics and partitioning in a grassed vineyard: ecophysiological and computational modelling approaches
<p>Data sets of the work "Evapotranspiration dynamics and partitioning in a grassed vineyard: ecophysiological and computational modelling approaches".</p> <p>You will find all data files needed for this work, organised by the figures of the paper. For the codes, refer to Flavio Bastos Campos. (2024). flaviobastoscampos/ET_dynamics_and_partitioning_vineyard: v2024.1 (v2024.1). Zenodo. <a href="https://doi.org/10.5281/zenodo.10864169" target="_blank" rel="nofollow noopener">https://doi.org/10.5281/zenodo.10864169</a>. </p>
Threatened endemic arthropods and vertebrates partition their diets with non-native ants in an isolated island ecosystem - binary diet dataset and stats code
<p>The dietary dataset associated to <strong>"Threatened endemic arthropods and vertebrates partition their diets with non-native ants in an isolated island ecosystem"</strong>. We also provide the novel code (in R) used for the statistical analyses.</p>
Challenges and limitations of applying the flux variance similarity (FVS) method to partition evapotranspiration in a montane cloud forest
<p>Dataset</p> <table> <tbody> <tr> <td>Name</td> <td>Description</td> </tr> <tr> <td>FVS_ori.zip</td> <td>the output from FVS method</td> </tr> <tr> <td>ModFVS.zip</td> <td>the output from ModFVS method</td> </tr> <tr> <td>CLM.zip</td> <td>the output from CLM </td> </tr> <tr> <td>Chilan_30min_sap_velocity_20200601_20211120_QC.csv</td> <td>the sap flow data in Chi-Lan</td> </tr> <tr> <td>*_clim.csv</td> <td>the observation data in Chi-Lan and Lien-Hua-Chih</td> </tr> </tbody> </table> <p> </p> <p>Codes for Analysis</p> <table> <tbody> <tr> <td>Name</td> <td>Description</td> </tr> <tr> <td>*.ipynb</td> <td>the python code used for analyzing output</td> </tr> <tr> <td>*_FVS_process.py</td> <td>the python code used for process ModFVS method</td> </tr> </tbody> </table> <p> </p> <p>ModFVS method (fluxpart-0.2.10+rhtest-py3-none-any.whl)</p> <ul> <li>use "pip install fluxpart-0.2.10+rhtest-py3-none-any.whl" to install the package</li> <li> <p>To specify a maximum allowable relative humidity when calculating WUE, set a value for "max_rh" in "wue_options". For example, to set the max RH to 95%, you would change your example code to this:</p> <p>wue_options = {"meas_ht": 23.7,"canopy_ht":10, "ppath": "C3","ci_mod":ci_mod, "max_rh":95}</p> </li> <li> <p>Note that this code is a fork of (https://github.com/usda-ars-ussl/fluxpart)</p> </li> </ul> <p> </p> <p> </p>
Trophic resource partitioning drives fine-scale coexistence in cryptic bat species
Understanding the processes that enable species coexistence has important implications for assessing how ecological systems will respond to global change. Morphology and functional similarity increase the potential for competition, and therefore, co-occurring morphologically similar but genetically unique species are a good model system for testing coexistence mechanisms. We used DNA metabarcoding and High Throughput Sequencing to characterise for the first time the trophic ecology of two recently-described cryptic bat species with parapatric ranges, Myotis escalerai and Myotis crypticus. We collected faecal samples from allopatric and sympatric regions and from syntopic and allotopic locations within the sympatric region to describe the diets both taxonomically and functionally and compare prey consumption with prey availability. The two bat species had highly similar diets characterised by high arthropod diversity, particularly Lepidoptera, Diptera and Araneae, and a high proportion of prey that is not volant at night, which points to extensive use of gleaning. Diet overlap at the prey-item level was lower in syntopic populations, supporting trophic shift under fine-scale co-occurrence. Furthermore, the diet of M. escalerai had a marginally lower proportion of not nocturnally volant prey in syntopic populations, suggesting that the shift in diet may be driven by a change in foraging mode. Our findings suggest that fine-scale coexistence mechanisms can have implications for maintaining broad-scale diversity patterns. This study highlights the importance of including both allopatric and sympatric populations and choosing meaningful spatial scales for detecting ecological patterns. We conclude that a combination of high taxonomic resolution with a functional approach helps identify patterns of niche shift.
Data-base for : 'Partitioning carbon sources between wetland and well-drained ecosystems to a tropical first-order stream - Implications to carbon cycling at the watershed scale (Nyong, Cameroon)'
<p>Dataset of carbon (pCO2, TA, DIC, DOC, POC) and ancillary parameters (water temperature, oxygen saturation, pH, specific conducitivity) in ground and surface waters of the Nyong watershed (Cameroon). The dataset covers one entire year (in 2016) and thus allows describing the varability of carbon and ancillary paramaters concentrations induced by seasons.</p>
Field investigations of salt partitioning and aqueous chemistry of freezing closed-basin lakes in Mongolia as terrestrial analogs of subsurface brine reservoirs on icy bodies [Data set]
<p>All measurement and calculation data</p> <p>Measurement and calculation data in Version 4 were uploaded in 2021-11-2</p>
Partitioning beta diversity to untangle mechanisms underlying the assembly of bird communities in Mediterranean olive groves
<p><span><span><span><span><span><span><span><span><span><span><span><i>Aim</i>: We investigated taxonomic and functional beta diversity of bird communities inhabiting Mediterranean olive groves subject to either intensive or extensive management of the ground cover and located in landscapes with different degrees of complexity.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><i>Location</i>: Andalusia, southern Spain.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><i>Methods</i>: We partitioned taxonomic and functional beta diversity into its two additive components, turnover and nestedness. We also explored the contributions of single sites to overall beta diversity (LCBD) and separated the effects of species replacement (turnover) and richness difference (nestedness) in order to identify ecologically unique sites -keystone communities- within the metacommunity. In a further step, we employed abundance- and functional-based indicator species analyses to characterize bird assemblages. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><i>Results</i>: Taxonomic beta diversity increased with landscape complexity. Although both taxonomic and functional differences among assemblages were driven mainly by species replacement (regardless of management or landscape type), the contribution of trait replacement to the total functional beta diversity was much lower, suggesting that species performing similar functions replace each other between sites. There were no differences in LCBD between management types or categories of landscape complexity, but the contributions of sites to beta diversity decreased as the percentage cover of olive groves increased. Species richness was also important in explaining variation in LCBD as species-poor sites tended to contribute the most to the local-to-regional beta diversity. However, some farms displayed high values of LCBD due to the existence of a high replacement component, indicating that some species recorded in these sites were scarce elsewhere. The indicator species analyses revealed that the woodchat shrike <i>Lanius senator</i> may constitute an excellent indicator of biodiversity in this agro-forestry-system. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><i>Main conclusions</i>: Our results show that agricultural expansion promotes biotic homogenization and exemplify how the identification of both keystone species and communities can represent a powerful tool for the management of anthropized landscapes.</span></span></span></span></span></span></span></span></span></span></span></p>
Data for: Carnivore niche partitioning in a human landscape
<p>To minimize competitive overlap, carnivores modify one of their critical niche axes: space, time, or resources. However, we currently lack rules for how carnivore communities operate in human-dominated landscapes. We simultaneously quantified overlap in the critical niche axes of a simple carnivore community – an apex carnivore (<i>Puma concolor</i>), a dominant meso-carnivore (<i>Lycalopex culpaeus</i>), and a subordinate meso-carnivore (<i>L. griseus</i>) – in a human-landscape featuring pastoralists and semi-domestic carnivores (i.e., dogs <i>Canis familiaris</i>). We found that dominant species had strong negative effects on the space-use of subordinate ones, which ultimately created space for subordinate small-carnivores. Humans and dogs were strictly diurnal, whereas the native carnivore community was nocturnal and exhibited high temporal overlap. Dietary overlap was high among the native carnivores, but dogs were trophically decoupled, largely because of human food subsidies. Our results show that in landscapes with evident human presence, temporal and dietary partitioning among native carnivores can be limited, leaving space as the most important axis to be partitioned among carnivores. We believe that these findings – the first to simultaneously assess all three critical niche axes among competing carnivores and humans and their associated species (i.e., domesticated carnivores) – are transferable to other carnivore communities in human modified landscapes.</p>
Data from: Resource partitioning and interspecific interactions among sympatric rain forest arboreal mammals of the Western Ghats, India
<p>Resource partitioning in a community of diurnal arboreal mammals consisting of the lion-tailed macaque Macaca silenus, bonnet macaque (BM) Macaca radiata, Nilgiri langur Semnopithecus johnii, and the Indian giant squirrel Ratufa indica of the Western Ghats, southern India, was studied. Differences in their diet, vertical stratification, food resource niche breadth, niche overlap, and behavioral interactions were examined. Resource partitioning was through differential habitat use, resource use, and vertical stratification. Of the four species, the BM was not a resident species and made frequent forays into evergreen forest from the adjacent deciduous forest during the flowering season of Cullenia exarillata and fruiting season of Ficus microcarpa. The macaques had narrower niches, and the langur and the squirrel had wider niches. Niche overlap was highest between the two macaques. Overlap among the study species was particularly pronounced during the flowering of C. exarillata. There was significant correlation between niche overlap and intolerance among the study species. Certain species pairs showed little or no mutual intolerance despite high overlap. Cooperative interactions such as alarm calls occurred more frequently among the resident species. Interaction matrices revealed an underlying pattern of interspecific dominance hierarchy, with the BM dominating over the other three species. Our study suggests that the BM do not coexist with the other three because of high overlap with its congener and low occurrence of cooperative interactions.</p>
Low-cost prediction of molecular and transition state partition functions via machine learning
<p>This dataset contains the vibrational, rotational, translational, and electronic partition functions for 35,883 organic chemistry molecular structures taken from the Grambow et. al dataset [1]. It was used to train ML deep neural networks to predict unknown transition state partition functions as well as partition functions for known molecular structures [2]</p> <p>The partition functions were computed at temperatures in the range T= [50, 2000] K with the rigid rotor, rigid body, harmonic oscillator approximations. Reactions involve no more than 7 C, N, or O atoms.</p> <p>Frequencies for the vibrational partition functions were taken from [1] where they were computed with DFT at the ωB97X-D3/def2-TZVP level of theory.</p> <p>For the rotational partition function, symmetry numbers were obtained by evaluating proper and improper invariant rotations of the structures. We note that structures involving two molecules were not separated: vibrational frequencies and symmetry numbers were computed for the aggregate structure.</p> <p>For each reaction, partition functions were calculated at 50 temperatures sampled uniformly from the inverse temperature range 1/T = [1/2000, 1/50] K<sup>-1</sup>. This corresponds to 11,961 reactions, 35,883 total structures, and 1,794,150 total partition function examples.</p> <p>The file Partition_Functions.tar.gz contains directories entitled “rxnXXXXXX” where XXXXXX is a reaction number identifier. Each contain three files “rXXXXXX.csv”, “pXXXXXX.csv”, “tsXXXXXX.csv” corresponding to data from the reactant (“r”), product (“p”), and transition state (“ts”) for reaction XXXXXX. Note that the directory structure and the reaction identifiers are the same as used in the original structure dataset by Grambow et al. and the corresponding structures can easily be extracted from that dataset. Each comma separated value (csv) file contains 50 rows and the following columns:</p> <table> <tbody> <tr> <td> <p><strong> Column label</strong></p> </td> <td> <p><strong> Values</strong></p> </td> </tr> <tr> <td> <p> T [K]</p> </td> <td> <p> Temperature</p> </td> </tr> <tr> <td> <p> qpart_ele [unitless]</p> </td> <td> <p> Electronic partition function</p> </td> </tr> <tr> <td> <p> qpart_trans [unitless]</p> </td> <td> <p> Translational partition function</p> </td> </tr> <tr> <td> <p> qpart_vib [unitless]</p> </td> <td> <p> Vibrational partition function</p> </td> </tr> <tr> <td> <p> qpart_rot [unitless]</p> </td> <td> <p> Rotational partition function</p> </td> </tr> <tr> <td> <p> qpart [unitless]</p> </td> <td> <p> Partition function</p> </td> </tr> <tr> <td> <p> log_qpart_trans [unitless] </p> </td> <td> <p> Natural logarithm of translational partition function</p> </td> </tr> <tr> <td> <p> log_qpart_rot [unitless]</p> </td> <td> <p> Natural logarithm of rotational partition function</p> </td> </tr> <tr> <td> <p> log_qpart_vib [unitless]</p> </td> <td> <p> Natural logarithm of vibration partition function</p> </td> </tr> <tr> <td> <p> log_qpart [unitless]</p> </td> <td> <p> Natural logarithm of partition function</p> </td> </tr> </tbody> </table> <p> </p> <p>[1] C. A. Grambow, L. Pattanaik, and W. H. Green, “Reactants, products, and transition states of elementary chemical reactions based on quantum chemistry,” <em>Sci. Data</em>, <strong>7</strong>:1–8, 2020.</p> <p>[2] Komp, E. Valleau, S. “Low-cost prediction of molecular and transition state partition functions via machine learning”, arXiv:, 2022.</p> <p> </p>
CG:Shop 2022 Results: SAT-Based Local Search for Plane Subgraph Partitions
<p>The results for the CG:SHOP 2022 challenge achieved by team tuwien.</p>
Spatial heterogeneity effects on land surface modeling of water and energy partitioning
<p>Related code and data used in the manuscript https://doi.org/10.5194/gmd-2022-4, <Spatial heterogeneity effects on land surface modeling of water and energy partitioning>. The latest source code of ELMv1 is available from https://github.com/E3SM-Project/E3SM (last access: September 2020). If you have any questions, please contact lingchengliwhu@gmail.com</p>
Differential nutrient limitation and tree height control leaf physiology, supporting niche partitioning in tropical dipterocarp forests
<p><span>Revealing the mechanisms of environmental niche partitioning within lowland tropical forests is important for understanding the drivers of current species distributions and potential vulnerability to environmental change. Tropical forest structure and species composition change across edaphic gradients in Borneo over short distances. However, our understanding of how edaphic conditions affect tree physiology and whether these relationships drive niche partitioning within Bornean forests remains incomplete. </span></p> <p><span>This study evaluated how leaf physiological function changes with nutrient availability across a fine-scale edaphic gradient and whether these relationships vary according to tree height. Furthermore, we tested whether intraspecific leaf trait variation allows generalist species to populate a wider range of environments.</span></p> <p><span>We measured leaf traits of 218 trees ranging in height from 4 to 66 m from 13 dipterocarp species within four tropical forest types (alluvial, mudstone, sandstone, kerangas) occurring along an < 5km edaphic gradient in North Borneo. The traits measured included saturating photosynthesis (<em>A</em><sub>sat</sub>), maximum photosynthetic capacity (<em>V</em><sub>cmax</sub>), leaf dark respiration (<em>R</em><sub>leaf</sub>), leaf mass per area (LMA), leaf thickness, minimum stomatal conductance (<em>g</em><sub>dark</sub>) and leaf nutrient concentrations (N, P, Ca, K, Mg). </span></p> <p><span>Across all species, leaf traits varied consistently in response to soil nutrient availability across forest types except <em>R</em><sub>leaf_mass</sub>, [<em>Mg</em>]<sub>leaf</sub> and [<em>Ca</em>]<sub>leaf</sub>. Changes in photosynthesis and respiration rates were related to different leaf nutrients across forest types, with greater nutrient-use efficiency in more nutrient-poor environments. Generalist species partially or fully compensated reductions in mass-based photosynthesis through increasing LMA in more nutrient-poor environments. </span></p> <p><span>Leaf traits also varied with tree height, except <em>V</em><sub>cmax_mass</sub>, but only in response to height-related modifications of leaf morphology (LMA and leaf thickness). These height-trait relationships did not vary across the edaphic gradient, except for <em>A</em><sub>sat</sub>, [<em>N</em>]leaf, [<em>P</em>]<sub>leaf</sub> and [<em>K</em>]<sub>leaf</sub>. </span></p> <p><span>Our results highlight that modification of leaf physiological function and morphology act as important adaptations for Bornean dipterocarps in response to edaphic and vertical environmental gradients. Meanwhile, multiple nutrients appear to contribute to niche partitioning and could drive species distributions and high biodiversity within Bornean forest landscapes.</span></p>
Climate Impacts of Parameterizing Subgrid Partitioning of Land Surface Heat Fluxes to the Atmosphere with the NCAR CESM1.2
<p>The modified code as well as the CAM5 output for all the simulations in this study (V0 for the CTL run, CON1 for the EXP run, and PCON1R for EXP_COR run).</p> <p>The CESM1.2.1-CAM5.3 source code can be downloaded through the CESM official website https://www.cesm.ucar.edu/models/cesm1.2/cesm/doc/usersguide/x290.html#download_ccsm_code. Its output files are named in V0*.nc.</p> <p>The modified code for the EXP run in the study is in CON1.tar, with its CAM5 output files named in CON1*.nc.</p> <p>The modified code for the EXP_COR run in the study is in PCON1R.tar, with its CAM5 output files named in PCON1R*.nc</p>
Additional data for Insights for the Partitioning of Ecosystem Evaporation and Transpiration in Short-Statured Croplands
<p>Data includes LAI and SPA-Crop model outputs for the 2018-2019 winter wheat and for the 2019-2020 winter barley crop seasons.<br> Eddy covariance and meteorological data from Oensingen (CH-Oe2) are available at http://www.europe-fluxdata.eu/home/site-details?id=CH-Oe2</p>
Seasonal patterns of dietary partitioning in vertebrates
<p>Dietary partitioning plays a central role in biological communities, yet the extent of partitioning often varies dramatically over time. Food availability may drive temporal variation in dietary partitioning, but alternative paradigms offer contrasting predictions about its effect. We compiled estimates of dietary overlap between co-occurring vertebrates to test whether partitioning is greater during periods of high or low food abundance. We found that dietary partitioning was generally greatest when food abundance was low, suggesting that competition for limited food drives partitioning. The extent of dietary partitioning in birds and mammals was also related to seasonality in primary productivity. As seasonality increased, partitioning increased during the nonbreeding season for birds and the breeding season for mammals. Although some hypotheses invoke changes in dietary breadth to explain temporal variation in dietary partitioning, we found no association between dietary breadth and partitioning. These results have important implications for the evolution of dietary divergence.</p>
Partitioning of ribonucleoprotein complexes from the cellular actin cortex
<p>The cell cortex plays a crucial role in cell mechanics, signaling, and development. However, little is known about the influence of the cortical meshwork on the spatial distribution of cytoplasmic biomolecules. Here, we describe a new fluorescence microscopy method to infer the intracellular distribution of labeled biomolecules with sub-resolution accuracy. Unexpectedly, we find that RNA-binding proteins are partially excluded from the cytoplasmic volume adjacent to the plasma membrane that corresponds to the actin cortex. Complementary diffusion measurements of RNA-protein complexes suggest that a rudimentary model based on excluded volume interactions can explain this partitioning effect. Our results suggest the actin cortex meshwork may play a role in regulating the biomolecular content of the volume immediately adjacent to the plasma membrane.</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.