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1,074 results for “invasive species”
Explainable few-shot learning workflow for detecting invasive and exotic tree species
<p>This is the supporting dataset of research work: <a href="Link"><strong>Explainable few-shot learning workflow for detecting</strong></a> <a href="Link"><strong>invasive and exotic tree species</strong></a>. (Link to be added after the publication) In this research, we presents a workflow that tackles both challenges by proposing an explainable few-shot learning workflow for detecting invasive and exotic tree species in the Atlantic Forest of Brazil using Unmanned Aerial Vehicle (UAV) images. By integrating a Siamese network with explainable AI (XAI), the workflow enables the classification of tree species with minimal labeled data while providing visual, case-based explanations for the predictions.</p> <p>The workflow is accessible in <a href="Link">this GitHub repository</a> (Link to be added after the publication). The required dataset of this workflow in provided in this Zenodo repository.</p> <p>This dataset repository has the following contents</p> <ul> <li> <p>uav_img.zip: the UAV orthomosaic image (.tif) of the study area used in this research, with related metadata</p> </li> <li>tree_labels.zip: the labels of trees created by expert, available in .shp and .gpkg</li> <li> <p>cutouts.zip: tree cutouts used in this study. They are two sub-directories:</p> <ul> <li>all_cutouts: all the candidated cutouts from three sources. See the README.md file insisde this folder for more information</li> <li>selected cutout: the manually selected cutouts from all cutouts used for training.</li> </ul> </li> <li> <p>training_pairs_20000.zarr.zip: training data created for base network traning. It is created by pairing the selected cutouts.</p> </li> <li>netflora.zip: Netflora workflow prediction results</li> <li>optimized_models.zip: Optimized base models (shallow and deep) and refined models with different shots/fold setup.</li> <li>n_fold_x_validation.zip: data pairs for refinement traing, with n fold and x valiation setup.</li> </ul>
IPBES Invasive Alien Species Assessment in Linked Open Data format
<p>This dataset contains the Thematic Assessment Report on Invasive Alien Species and their Control of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services in linked open data format.</p> <p>The structure of the file follows the IPBES ontology version 06: <a href="https://github.com/IPBES-Data/IPBES_Ontology">https://github.com/IPBES-Data/IPBES_Ontology</a></p> <p>The report is published in 2023 and consists of 6 chapters and a Summary for Policy Makers. For more information about the report, see: <a href="https://www.ipbes.net/ias" rel="nofollow">https://www.ipbes.net/ias</a></p> <p>For any questions and enquiries, please contact the IPBES Data and Knowledge Unit <a href="mailto:aidin.niamir@senckenberg.de">aidin.niamir@senckenberg.de</a></p>
Data from: Impact of the invasive alien topmouth gudgeon (Pseudorasbora parva) and its associated parasite Sphaerothecum destruens on native fish species
<p>Two datasets belonging to the paper "Impact of the invasive alien topmouth gudgeon (<i>Pseudorasbora parva</i>) and its associated parasite <i>Sphaerothecum destruens</i> on native fish species" published in Biological Invasions (https://doi.org/10.1007/s10530-019-02114-6), is provided here. The first dataset consists of individual measured and weighed fish per sampled water body. In case a large number (>50) of the same species and length were encountered, a representative number was weighed and measured, and the remaining individuals were only counted. The second dataset consists of parameters related to morphology and water quality, and number of specimens found per fish species, of each sampled water body. Below, methodological information is provided on the study site, the sampling process, and the water sample analysis. For references, see the published paper in Biological Invasions.</p><p> </p><p>Study site</p><p>We selected 54 water bodies (oxbow lakes, shallow lakes and ponds) in river floodplains of the IJssel, Meuse, Nederrijn and Waal River. These water bodies were selected using the following criteria: a) Potential presence of <i>P. parva</i> according to the Dutch National Database Flora and Fauna, b) No permanent hydrological connection with the main stream or a side channel, c) Similarity in habitat characteristics (e.g., depth and surface area, for habitat characteristics per sampling site), d) Suitability for sampling with a seine net. These criteria were set to reduce variance in the fish species composition created by habitat variables, as our aim was to detect effects caused by <i>P. parva</i>. The areas of sampled water bodies ranged from 100 to 80,000 m2. In total 54 sites located in the floodplains were visited and sampled using a seine net (21 m long, 2.4 m high, mesh size 4x4 to 10x10 mm). Fifteen sites could not be sampled sufficiently with this gear type due to high vegetation cover and/or water depth. Hence, 39 sites were included in the analyses of effect on fish assemblages and body condition. The coordinate system used here concerns Amersfoort RD (EPSG: 28992). </p><p> </p><p>Sampling</p><p>Sampling of the fish populations was carried out from October to December 2015. The seine net was used while wading and provided adequate data on juvenile and small fishes in shallow habitats. The sampling area ranged from 0.04 to 82.35% of the surface area of water bodies and was used to calculate fish densities (number of fish m-2). All caught fishes were identified, weighed (accuracy 0.05 g) and their total lengths (TL, from tip of snout to longer caudal fin lobe, accuracy 1 mm) measured in the field. Young of the year (YOY) were distinguished, based on length. Each individual was assigned to being a YOY, based on known YOY thresholds in the Netherlands. Small fishes (<35 mm) were pooled for weighting. In case a large number (>50) of the same species and length were encountered, a representative number was weighed and measured, and the remaining individuals were only counted. Subsequently, the fishes were released. </p><p>Habitat and soil parameters which included coverage percentage of aquatic vegetation, littoral vegetation, and substrate (mud, sand, gravel and rocks), and tree branches in the water were visually estimated. The water transparency (cm) was determined using a Secchi disk (measured vertically). Water temperature (°C), conductivity (μS cm-1) and salinity (PSU) were measured at the site with the use of a Model 30 meter (YSI incorporated). A water sample was taken and at the same day pH and alkalinity (eq l-1) were measured in the laboratory. Water samples in polyethylene bottles were stored in the freezer at a maximum storage time of 75 days until analysis. Metal ions were analysed using an ICP analyser (Thermo Electron corporation IRIS Intrepid ΙΙ XDL). Concentrations of nitrate (NO3-), ammonium (NH4+), phosphate (PO43-), chloride (Cl-) and potassium (K+) were determined using an Auto Analyzer 3 system (Bran and Luebbe, Norderstedt Germany). Physico-chemical data is missing for site 39 due to loss of the sample.</p><p> </p><p>Abstract</p><p>The Asian cyprinid <i>Pseudorasbora parva</i> is considered to be a major threat to native fish communities and listed as an invasive alien species of European Union concern. Our study aims to gain evidence-based knowledge on the impact of both <i>P. parva</i> and it parasite <i>Sphaerothecum destruens</i> on native fish populations by analysing fish assemblages and body condition of individuals of native fish species in floodplain water bodies that were invaded and uninvaded by <i>P</i>. <i>parva</i>. We explored the use of environmental DNA (eDNA) techniques to detect <i>S. destruens</i>. Prevalence of <i>S. destruens</i> in native fish species was assessed. Fish samplings showed significantly negative correlations between the abundance of <i>P. parva</i> and the native <i>Leucaspius delineatus</i>, and <i>Pungitius pungitius</i> and three biodiversity indices of the fish assemblages (Simpson's diversity index, Shannon-Wiener index and evenness). Contrastingly, the abundances of the native <i>Gasterosteus aculeatus</i> and <i>P. parva</i> were positively related. In nearly all isolated water bodies with <i>P. parva</i>, this species is outnumbering native fish species. No effect of <i>P. parva</i> presence was found on body condition of native fish species. <i>Sphaerothecum destruens</i> was demonstrated to occur in both <i>P. parva</i> and <i>G. aculeatus</i>. <i>Gasterosteus aculeatus</i> is suggested to be an asymptomatic carrier that can aid the further spread of <i>S. destruens,.</i> Analysis of eDNA proved to be a promising method for early detection of <i>S. destruens</i>, here showing that <i>S. destruens</i> presence coincided with <i>P. parva</i> presence. The ongoing invasion of both <i>P. parva</i> and <i>S. destruens</i> is predicted to pose a significant risk to native fish communities.</p>
Data from: Hybridization and adaptive introgression in a marine invasive species in native habitats
<p><span>Hybridization</span> <span>of distinct populations or species is an important evolutionary driving force. For invasive species, hybridization can enhance their competitive advantage in the non-native range as a source of adaptive novelty by introgression of selectively favoured alleles. </span><span>W</span><span>e use </span><span>single-nucleotide polymorphism arrays (SNP-chips) to assess genetic diversity and population structure in the invasive ctenophore <em>Mnemiopsis</em> <em>leidyi</em> </span><span>in native habitats along the USA east coast. H</span><span>ybrids are present at the distribution border of the two lineages. However, our data suggests selection against hybrids in stable habitats, while hybrids are selected for in fluctuating environments. H</span><span>ybrid populations thriving in extreme and unstable environments of the native range, such as the Chesapeake Bay, could accelerate the invasion success if translocated. For <em>M. leidyi</em>, this is especially relevant as low salinity currently limits its invasion range in western Eurasia. </span><span>Hybridization status is thus important but currently disregarded to determine high-risk areas for ballast water exchange.</span></p>
IPBES Invasive Alien Species Assessment: Chapter 1. Figures, tables and captions
<p>Figures, tables and captions from Chapter 1: Introducing biological invasions and the IPBES thematic assessment of invasive alien species and their control. In: Thematic Assessment Report on Invasive Alien Species and their Control of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services.</p>
IPBES Invasive Alien Species Assessment: Chapter 2. Figures, tables, captions and data management reports
<p>This folder contains the figures and tables included in Chapter 2 of the IPBES Invasive Alien Species and their Control Assessment Report. Each figure is provided in pdf and svg format. In addition, the R scripts and the data sets required to generate the figures are provided as well.</p><p>The figures and tables showing information about alien species numbers or distributions are all based on two data sets, which are stored on Zenodo folders. One data set contains the records of alien species per region worldwide (https://doi.org/10.5281/zenodo.7554428) and the workflow including R scripts have been published (https://doi.org/10.3897/neobiota.59.53578). This data set is called the 'chapter database'. Version 2.4.1 of this data set was used to extract the numbers shown in figures and tables of this chapter. The second data set (https://doi.org/10.5281/zenodo.6458083) contains coordinates of alien species occurrences worldwide and the workflow including R scripts have also been published elsewhere (https://doi.org/10.3897/neobiota.74.81082). Version 1.0.1 of this data set was used here.</p><p>The folder also contains the data management reports for the generation of the chapter database and figures.</p>
Biogeography of the world's worst invasive species has spatially-biased knowledge gaps but is predictable
<p>The world's "100 worst invasive species" were listed in 2000. The list is taxonomically diverse and often cited (typically for single-species studies), and its species are frequently reported in global biodiversity databases. We acted on the principle that these notorious species should be well-reported to help answer two questions about global biogeography of invasive species (i.e., not just their invaded ranges): (1) "how are data distributed globally?" and (2) "what predicts diversity?" We collected location data for each of the 100 species from multiple databases; 95 had sufficient data for analyses. For question (1), we mapped global species richness and cumulative occurrences since 2000 in (0.5 degree)<sup>2</sup> grids. For question (2) we compared alternative regression models representing non-exclusive hypotheses for geography (i.e., spatial autocorrelation), sampling effort, climate, and anthropocentric effects.</p> <p>Reported locations of the invasive species were spatially-biased, leaving large gaps on multiple continents. Accordingly, species richness was best explained by both anthropocentric effects not often used in biogeographic models (Government Effectiveness, Voice & Accountability, human population size) and typical natural factors (climate, geography; R<sup>2</sup> = 0.87). Cumulative occurrence was strongly related to anthropocentric effects (R<sup>2</sup> = 0.62). We extract five lessons for invasive species biogeography; foremost is the importance of anthropocentric measures for understanding invasive species diversity patterns and large lacunae in their known global distributions. Despite those knowledge gaps, advanced models here predict well the biogeography of the world's worst invasive species for much of the world.</p>
Appendix 1 to "The Status of Biological Invasions and their Management in South Africa in 2022"—Species level pathway data
<p>SANBI and CIB 2023. Appendix 1 to "The Status of Biological Invasions and their Management in South Africa in 2022"—Species level pathway data. South African National Biodiversity Institute, Kirstenbosch and DSI-NRF Centre of Excellence for Invasion Biology, Stellenbosch. http://dx.doi.org/10.5281/zenodo.8217192</p> <p>For more details see: http://iasreport.sanbi.org.za</p> <p>For the report itself see: http://dx.doi.org/10.5281/zenodo.8217182</p>
Appendix 7 to "The Status of Biological Invasions and their Management in South Africa in 2022"—The Species List for the Prince Edward Islands
<p>SANBI and CIB 2023. Appendix 7 to "The Status of Biological Invasions and their Management in South Africa in 2022"—The Species List for the Prince Edward Islands. South African National Biodiversity Institute, Kirstenbosch and DSI-NRF Centre of Excellence for Invasion Biology, Stellenbosch. http://dx.doi.org/10.5281/zenodo.8217229</p> <p> </p> <p>For more details see: http://iasreport.sanbi.org.za<br> For the report itself see: http://dx.doi.org/10.5281/zenodo.8217182</p>
Figure 2 in Morphology, morpho-taxometric and molecular characterization of the invasive alien species Caribbean leatherleaf slug Sarasinula plebeia (Gastropoda: Veronicellidae): a first record in southern Philippines
Figure 2. Sarasinula plebeia isolate LDZS morphological characters as indicated by arrows of the ventral region (A); hyponotum (red), narrow foot running from anterior to posterior end (orange); dorsal region (B) showing the notum (green), perinotum (yellow), and a pair of ocular tentacles (blue).
Figure 1 in Morphology, morpho-taxometric and molecular characterization of the invasive alien species Caribbean leatherleaf slug Sarasinula plebeia (Gastropoda: Veronicellidae): a first record in southern Philippines
Figure 1. Map showing the sampling site (blue dot) in the selected area for terrestrial slug in La Dicha, Malangas, Zamboanga, Sibugay, southern Philippines.
Figure 3 in Morphology, morpho-taxometric and molecular characterization of the invasive alien species Caribbean leatherleaf slug Sarasinula plebeia (Gastropoda: Veronicellidae): a first record in southern Philippines
Figure 3. Phylogenetic relationship of Sarasinula plebeia isolate LDZS (bold) and related sequences inferred by the COI sequences through Bayesian analysis using GTR+I+G model showed a strong relation with posterior probability value of 1. Position of S. plebeia (JQ582279, JQ582278, JQ582277) also showed strong relation with L. alte (PP value of 1). Scale bar represents the estimated substitution per site.
Alien plant species are precursors for invasion: a case study of Alternanthera brasiliana (L.) Kuntze in Ile-Ife (Nigeria)
<p>The impact of <em>Alternanthera brasiliana</em> on vegetation and soil seed bank was assessed in Ile-Ife, Nigeria. Ten sample plots, 10 m x 10 m each, were established in invaded plant communities with high density of <em>Alternanthera brasiliana</em> and adjacent uninvaded plant communities where the weed species has low density. In each sample plot, twenty 1 m x 1 m quadrats were randomly laid and all rooted plant species were identified and counted. Post-dispersal soil seed bank was collected by randomly taking five core samples of top soil per sample plot to estimate the soil seed bank density and floristics of the sites. The species composition of soil seed bank was compared with that of the above-ground vegetation so as to assess the invader's impact on the vegetation using Sorensen's index of similarity. The results showed that <em>Alternanthera brasiliana</em> invasion significantly impacted on the species diversity (<em>t</em> = 5.27; <em>df</em> = 18; <em>p</em> = 0.0003) and evenness of species distribution (<em>t</em> = 4.50; <em>df</em> = 18; <em>p</em> = 0.00005) in the aboveground vegetation, and the species diversity (<em>t</em> = 5.37; <em>df</em> = 18; <em>p</em> = 0.00004) and evenness of species distribution (<em>t</em> = 6.19; <em>df</em> = 18; <em>p</em> < 0.0001) in the soil seed bank. This study concluded that <em>Alternanthera brasiliana</em> has significantly caused alterations in key parameters of the aboveground vegetation and those of the soil seed bank. It is likely that with increasing resident time, these alterations might increase more significantly to enhance the spread of <em>Alternanthera brasiliana</em>.</p>
Fig. 2 in Immediate Allelopathic Effect Of Two Invasive Heracleum Species On Acceptor-Germination
Fig. 2. TPC accumulation in different plant parts of H. sosnovskyi and H. mantegazzianum.
Predictor complexity and feature selection affect Maxent model transferability: evidence from global freshwater invasive species
<p>This dataset contains the following:</p> <ol> <li>Occurrence datasets of five global freshwater invasive species (African sharptooth catfish <i>Clarias gariepinus</i>, Mozambique tilapia <i>Oreochromis mossambicus</i>, American bullfrog <i>Lithobates catesbeianus</i>, red swamp crayfish <i>Procambarus clarkii</i>, and Australian redclaw crayfish <i>Cherax quadricarinatus</i>)</li> <li>Background points for presence-only ecological niche modelling (e.g., Maxent)</li> <li>Example R script (with annotations inline) to conduct model tuning and transferability assessments using Maxent</li> </ol>
The distribution and impact of an invasive plant species (Senecio inaequidens) on a dune building engineer (Calamagrostis arenaria)
<p>These data sets are used to run the analyses in the paper '<em>The distribution and impact of an invasive plant species (</em>Senecio inaequidens<em>) on a dune building engineer (</em>Calamagrostis arenaria<em>)</em>' by Van De Walle et al., 2022, Neobiota (in progress).</p> <p>The presence/absence data (PA) of <em>Senecio inaequidens</em> in European coastal dunes can be found in 'Senecio_PA.xlsx', in the tab 'senecio_PA', together with the country and location where the occurrences were mapped. All coordinates of the samples are available in the tab 'coordinates samples'.</p> <p>'Marram_growth_experiment.xlsx' contains the data gathered during the growth experiment. The origin of the sand is subdivided in 3 columns: 'Location' represents the location along the Belgian coast where sand was gathered, 'senecio' represents whether sand was gathered from underneath a senecio plant or not and 'biota' represents whether biota could affect marram grass growth (biota = 0 thus means that the sand was sterilized).</p> <p> </p> <p><strong>Abstract</strong></p> <p>Disturbance is thought to enhance the probability of invasive species establishment, a prerequisite for naturalization. Coastal dunes are characterized by disturbance in the form of sand dynamics. We studied the effect of this disturbance on the establishment and spread of an invasive plant species (<em>Senecio inaequidens</em>) in European coastal dunes. Local sand dynamics dictate the spatial configuration of marram grass (<em>Calamagrostis arenaria</em>). Therefore, marram grass configuration was used as a reliable proxy for disturbance. As marram grass plays a crucial role in natural dune formation, we evaluated the possible effects <em>S. inaequidens</em> could have on this process, if it would be able to naturalize in European coastal dunes.</p> <p> We expected the highest probability of <em>S. inaequidens </em>establishment at intermediate marram grass cover because too low cover would increase sand burial, whereas high cover would increase competition. However, our results indicate that <em>S. inaequidens</em> is quite capable of handling higher levels of sand burial. Thus, probability of <em>S. inaequidens</em> establishment was high under low marram cover but slightly lowered when marram cover was high, hinting at the importance of competition.</p> <p>We expected a negative impact of <em>Senecio</em>-altered soils on marram grass growth mediated by soil biota. However, marram grass grew better in sand gathered underneath <em>Senecio</em> plants due to abiotic soil modifications. This enhanced growth may be caused by <em>Senecio</em> leaf litter elevating nutrient concentrations in an otherwise nutrient-poor substrate. If such increased plant growth is a general phenomenon, further expansion of <em>S. inaequidens</em> could accelerate natural succession in European coastal dunes.</p>
The implementation of systemic insecticides and increased irrigation against invasive species attacking Ficus trees in Hawai'i.
<p>This contains the data collected for the publication submitted to the Journal of Applied Entomology. </p>
Data from: Invasions of an obligate asexual daphnid species support the nearly neutral theory
<p><span>To verify the "nearly neutral theory (NNT)," the ratio of nonsynonymous to synonymous substitutions (<em>dN/dS</em>) was compared among populations of different species. To determine the validity of NNT, however, populations that are genetically isolated from each other but share the same selection agents and differ in size should be compared. Genetically different lineages of obligate asexual <em>Daphnia pulex</em> invading Japan from North America are an ideal example as they satisfy these prerequisites. Therefore, we analyzed the whole-genome sequences of 18 genotypes, including those of the two independently invaded <em>D. pulex</em> lineages (JPN1 and JPN2) and compared the <em>dN/dS</em> ratio between the lineages. The base substitution rate of each genotype demonstrated that the JPN1 lineage having a larger distribution range diverged earlier and thus was older than the JPN2 lineage. Comparisons of the genotypes within lineages revealed that changes in <em>dN/dS</em> occurred after the divergence and were larger in the younger lineage, JPN2. These results imply that the JPN1 lineage has been more effectively subjected to purification selections, while slightly deteriorating mutations are less purged in JPN2 with smaller population size. Altogether, the lineage-specific difference in the <em>dN/dS</em> ratio for the obligate asexual <em>D. pulex</em> was well explained by the NNT.</span></p>
Interactions between soil microbes and native species drive a diversity-invasibility relationship
<p>Soil microbes can affect both the invasiveness of exotic plants and the invasibility of native plant communities, but it still remains unclear whether soil microbes can influence the relationship between native plant species diversity and community invasibility. We constructed native plant communities with three levels of species richness (one, three, or six species) in un-sterilized or sterilized soil (i.e., with or without soil microbes) and let them not be invaded by exotic plant species or invaded by one of three exotic species (<em>Solidago canadensis</em>, <em>Erigeron canadensis</em> or <em>Symphyotrichum subulatum</em>) highly invasive in China. The soils conditioned by the native plant communities not invaded by the exotic species were used as soil microbe inocula to test whether richness-induced differences in soil microbes affect the growth of each of the three invasive species. Compared with the presence of soil microbes, the absence of soil microbes weakened the negative species richness-invasibility relationship, indicating that soil microbes can contribute to the higher invasion resistance of more diverse native plant communities. In the presence of soil microbes, the higher invasion resistance of more diverse communities was mainly ascribed to the complementarity effect. However, soil microbes from communities with a higher species richness did not have a stronger negative effect on the growth of any of the three invasive species. We conclude that soil microbes can alter the diversity-invasibility relationship through promoting the complementarity effect on the community invasion resistance. Our results highlight the importance to integrate the role of soil microbes in testing the diversity-invasibility hypothesis.</p>
Turning summer into winter: nutrient dynamics, temperature, density dependence, and invasive species drive bioenergetic processes and growth of a keystone coldwater fish
<p>A combination of global changes such as species invasions, climate change, and nutrient pollution have altered ecosystems, food webs, and the bioenergetic processes that control growth. These changes are especially pronounced in freshwater ecosystems and often lead to rapid variation in fish growth and dependent ecosystems services such as fishery yield. Understanding the mechanisms driving growth responses to environmental change is important for interpreting past dynamics and sustainably managing ecosystems. This study uses integrated bioenergetics and growth modeling to understand how nutrient dynamics, species invasions, and changing temperatures have altered growth of the keystone pelagic whitefish (<em>Coregonus</em> <em>wartmanni</em>) in Lake Constance, Germany from 1925 to 2020. Growth variation was modeled by allowing covariates to alter temperature-dependent consumption, while size-specific metabolism varied only with temperature. Consumption and growth increased strongly to a maximum with phosphorous, and this effect was stronger when intraspecific competition (measured as whitefish biomass) was low. Increasing whitefish biomass reduced growth under mesotrophic conditions, but had no effect under oligotrophic conditions. In contrast, increasing competition with invasive three-spined stickleback (<em>Gasteosteus</em> <em>aculeauts</em>) was predicted to reduce growth even under oligotrophic conditions. The invasion has effectively turned summer into winter for whitefish, with older fish ceasing to grow and younger fish losing up to 10% of their body weight during the normal growing season in subsequent years. Warming is predicted to further reduce whitefish growth due to competition with invasive stickleback, which would further alter zooplankton food availability and reduce already low fishery yields. These results demonstrate the importance of considering biotic interactions and synergistic effects in global change studies, as well as the value of mechanistic-based models for understanding effects. Similar growth responses to ecosystem change are likely within and across ecosystems, and bioenergetic models can help understand effects to support informed ecosystem management.</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.