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208 results for “invasive alien species”
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>
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>
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. 6 in Reciprocal Predation Between Preserved And Invasive Species: Adult Bombina Bombina Predate Young Whitebaits Of Alien Fish Perccottus Glenii
Fig. 6. Plot for fitted model of initial number of live and predated P. glenii.
Fig. 2. Experimental box with P in Reciprocal Predation Between Preserved And Invasive Species: Adult Bombina Bombina Predate Young Whitebaits Of Alien Fish Perccottus Glenii
Fig. 2. Experimental box with P. glenii and pair of B. bombina.
Fig. 2 in Native Bugseed Species Corispermum Intermedium Schweigg And Alien Corispermum Pallasii Steven In Coastal Habitats Of Latvia - New Knowledges Of Distribution And Invasions
Fig. 2. Achenes of Corispermum intermedium (left) and C. pallasii (right). Image: I. Svilāne.
Microplastics promote the invasiveness of invasive alien species under fluctuating water regime
<p>Microplastic pollution and alien plant invasions are two important threats to terrestrial ecosystems. Microplastics (MPs) alter the physical and chemical characteristics of soil, potentially affecting the performance of alien plants. However, previous studies have overlooked the impact of weather on invasive plants in areas polluted by MPs. With the global increase in extreme rainfall events, it is imperative to redefine the correlation between MPs and invasive plants. Here, we conducted an experiment in a climate chamber to examine the effects of MPs on the growth and development of both native and invasive alien plants under a constant and fluctuating water regime (FWR). The FWR simulated extreme water pulses during the 2016-2020 growing seasons in Wuhan, China. Our results indicated that biomass accumulation and roots development were influenced by water conditions and MPs pollution in both invasive and native species. The extent of the effects varied between the two groups of plant species. FWR promoted plant growth and fine root development in invasive plants but reduced the maximum quantum efficiency of photosystem II (<em>F</em><em><sub>v</sub></em><em>/F</em><em><sub>m</sub></em>) and nonphotochemical quenching (<em>NPQ</em>) indices of native plants. Moreover, FWR attenuated the negative effects of polybutylene succinate (PBS, degradable MPs) on biomass and root characteristics (length, surface area, and tips). FWR compensates for the negative impacts of MPs on the total and belowground biomass of the invasive species <em>Paspalum dilatatum</em> and <em>Sphagneticola trilobata</em>, but not on the native species. Consequently, invasive species showed better performance than native species in the fine-root development of biomass growth and chlorophyll fluorescence under the combined effects of MPs and FWR.</p> <p><em>Synthesis and Applications</em>. Our findings suggest that MPs pollution enhances the competitiveness of invasive alien species over the native species when exposed to pronounced dry-wet water cycle conditions, potentially affecting the composition and biodiversity of the ecosystems. Thus, controlling MPs pollution should be a part of the management strategy to conserve biodiversity and ecosystems.</p>
Figure 1 in First occurrence of the invasive alien species Streblospio gynobranchiata (Rice & Levin, 1998) and Polydora cornuta Bosc, 1802 (Polychaeta: Spionidae) on the coast of Abkhazia (Sukhum Bay, Black Sea)
Figure 1. Location of the stations where specimens of alien spionid polychaete were found.
Table 3 in Mowing inhibits the invasion of the alien species Solidago altissima and is an effective management strategy
<p><b>Table 3.</b> Heights of <i>S. altissima</i> before mowing in September 2019.</p><table><tbody><tr><th>Site</th><th>Control</th><th>Mowing 1</th><th>Mowing 2</th><th>Mowing 3</th></tr></tbody><tbody><tr><th>Site 1</th><td>168.0 ± 3.27a</td><td>64.0 ± 3.32c</td><td>100.5 ± 9.14b</td><td>67.5 ± 3.1c</td></tr><tr><th>Site 2</th><td>192.0 ± 11.3a</td><td>79.0 ± 4.07c</td><td>111.0 ± 6.9b</td><td>73.0 ± 7.61c</td></tr><tr><th>Site 3</th><td>159.0 ± 4.99a</td><td>123.0 ± 7.12b</td><td>84.5 ± 5.89c</td><td>47.0 ± 2.71d</td></tr><tr><th>Site 4</th><td>190.0 ± 2.98a</td><td>102.0 ± 3.89b</td><td>112.5 ±8.07b</td><td>62.0 ± 5.33c</td></tr><tr><th>Site 5</th><td>217.0 ±10.23a</td><td>87.5 ± 4.9c</td><td>137.0 ± 4.96b</td><td>62.5 ± 3.1d</td></tr><tr><th>Site 6</th><td>177.5 ± 6.76a</td><td>97.5 ± 5.44c</td><td>120.5 ± 4.97b</td><td>60.0 ± 2.58d</td></tr><tr><th>Site 7</th><td>143.5 ± 12.2a</td><td>81.0 ± 2.77b</td><td>138.5 ± 3.5a</td><td>62.0 ± 4.67b</td></tr></tbody></table><p>* Mowing 1: mowed once in July; Mowing 2: mowed twice in May and September; Mowing 3: mowed three times in May, July, and September. Data are presented as means ± standard errors of 10 replicates. Means within a row followed by different letters are significantly different at p <0.05 (ANOVA with post hoc Tukey’s test). Units: cm.</p>
Table 2 in Mowing inhibits the invasion of the alien species Solidago altissima and is an effective management strategy
<p><b>Table 2.</b> Heights of <i>S. altissima</i> before mowing treatment in May 2019.</p><table><tbody><tr><th>Site</th><th>Control</th><th>Mowing 1</th><th>Mowing 2</th><th>Mowing 3</th></tr></tbody><tbody><tr><th>Site 1</th><td>101.0 ± 3.2a</td><td>101.0 ± 3.0a</td><td>81.1 ± 2.6b</td><td>64.9 ± 3.1c</td></tr><tr><th>Site 2</th><td>116.5 ± 4.7a</td><td>111.8 ± 4.7a</td><td>82.9 ± 4.1b</td><td>72.5 ± 6.6b</td></tr><tr><th>Site 4</th><td>89.1 ± 2.2a</td><td>74.8 ± 2.2b</td><td>49.5 ± 3.1d</td><td>59.8 ± 1.6c</td></tr><tr><th>Site 5</th><td>93.5 ± 2.5a</td><td>99.5 ± 2.3a</td><td>78.0 ± 2.0b</td><td>77.1 ± 2.0b</td></tr><tr><th>Site 6</th><td>125.3 ± 5.2a</td><td>117.0 ± 3.0a</td><td>86.5 ± 3.0c</td><td>105.0 ± 3.4b</td></tr><tr><th>Site 7</th><td>123.3 ± 3.3a</td><td>119.3 ± 2.9ab</td><td>111.3 ± 2.8bc</td><td>110.3 ± 3.1c</td></tr><tr><th>Site 8</th><td>96.0 ± 4.0a</td><td>94.5 ± 4.1ab</td><td>84.5 ± 3.3bc</td><td>81.0 ± 3.1c</td></tr></tbody></table><p>* Mowing 1: mowed once in July; Mowing 2: mowed twice in May and September; Mowing 3: mowed three times in May, July, and September. Data are presented as means ± standard errors of 10 replicates. Means within a row followed by different letters are significantly different at p <0.05 (ANOVA with post hoc Tukey’s test). Units: cm.</p>
Table 1 in Mowing inhibits the invasion of the alien species Solidago altissima and is an effective management strategy
<p><b>Table 1.</b> Heights of dead shoots of <i>S. altissima</i> after 1 year of treatment in April 2019.</p><table><tbody><tr><th>Site</th><th>Control</th><th>Mowing 1</th><th>Mowing 2</th><th>Mowing 3</th><th>Eco 200</th></tr></tbody><tbody><tr><th>Site 1</th><td>162.8 ± 6.62a</td><td>85.7 ± 5.52b</td><td>29.5 ± 2.74c</td><td>21.3 ± 2.09c</td><td>77.9 ± 8.94b</td></tr><tr><th>Site 2</th><td>213.2 ± 12.08a</td><td>87.1 ± 7.33c</td><td>38.4 ± 2.17d</td><td>29.0 ± 2.01d</td><td>144.8 ± 9.57b</td></tr><tr><th>Site 3</th><td>163.4 ± 7.31a</td><td>66.3 ± 4.55c</td><td>40.7 ± 2.57d</td><td>33.4 ± 2.11d</td><td>143.4 ± 7.13b</td></tr><tr><th>Site 4</th><td>191.6 ± 3.84a</td><td>160.8 ± 7.90b</td><td>59.2 ± 1.66d</td><td>81.9 ± 6.50c</td><td>166.9 ± 12.33b</td></tr><tr><th>Site 5</th><td>181.7 ± 4.76a</td><td>114.7 ± 2.90b</td><td>89.5 ± 10.23c</td><td>46.6 ± 5.12d</td><td>183.8 ± 9.00a</td></tr><tr><th>Site 6</th><td>174.8 ± 4.34a</td><td>82.9 ± 4.49c</td><td>39.7 ± 2.51d</td><td>31.6 ± 2.47d</td><td>153.3 ± 3.12b</td></tr><tr><th>Site 7</th><td>165.5 ± 4.79a</td><td>91.2 ± 6.02b</td><td>64.7 ± 3.24c</td><td>44.0 ± 3.67d</td><td>153.8 ± 7.25a</td></tr></tbody></table><p>* Mowing 1: mowed once in July; Mowing 2: mowed twice in May and September; Mowing 3: mowed three times in May, July, and September; Eco 200: 30% of shoots in the quadrats were cut near the ground, and the cut surfaces were covered with the Eco 200 block. Data are presented as means ± standard errors of 20 replicates. Means within a row followed by different letters are significantly different at p <0.05 (ANOVA with post hoc Tukey’s test). Units: cm.</p>
Table 4 in Mowing inhibits the invasion of the alien species Solidago altissima and is an effective management strategy
<p><b>Table 4.</b> Change in areas occupied by <i>S. altissima</i> in patch-type communities from March 2018 to March 2019.</p><table><tbody><tr><th>Control</th><th>Mowing 3</th><th>Eco 20%</th><th>Eco 100%</th></tr></tbody><tbody><tr><th>205.2 ± 107.3</th><td>24.7 ± 44.0</td><td>104.5 ± 85.2</td><td><i>−</i> 31.7 ± 13.0</td></tr></tbody></table><p>Mowing 3: mowed three times in May, July, and September; Eco 20%: 20% of shoots were mowed and treated with Eco 200; Eco 100%: 100% of shoots were mowed and treated with Eco 200. Data are presented as means ± standard errors of six replicates.</p>
IPBES Invasive Alien Species Assessment, database for Chapter 4. Impact Evidence Database
<p>This is a database described in the data management report for chapter 4 of IPBES thematic assessment on invasive alien species and their control.</p> <p>Data were gathered on direct observations of impacts from published literature, including grey literature, in order to form a database on the evidence to which invasive alien species impact, negatively and positively, nature, nature's contributions to people and good quality of life for Chapter 4 of IPBES thematic assessment of invasive alien species and their control. The criteria for inclusion were a published direct evidence of an impact on native species, a change in ecosystem properties, nature's contributions to people and the extent to which humans were affected through changes in their constituents of well-being.</p> <p> </p> <p>Updates to version 3:</p> <p>1) Assessor “EAM” has been replaced by “Ester Mostert”,</p> <p>2) There were 50 Unique IDs that were paired. These are now differentiated by adding an a and b to the end of these to make them truly unique,</p> <p>3) Removed 40 duplicates</p> <p>4) RowID were re-numbered to reflect the unique number of rows</p> <p> </p>
Data from: How science communications can help build societal perceptions of invasive alien species and their impacts on the environment
<p>In this study, we investigated the reported beneficial aspects of the invasive alien plant species (IAPS) and argued that, over time and space, the detrimental impacts of the IAS might endanger sustainable livelihoods. The data set contains the following files:</p> <p>Data_S1.xlsx: The file contains details of 154 literature reports. From each paper, we extracted IAPS names (both as reported and standardized), taxonomic information (family and taxon rank), year, country, the scale of observation, and reported beneficial impacts. The beneficial impacts were further categorized into 13 use categories at TDWG (Taxonomic Databases Working Group) Level-1 states (in binary format - 1 indicates the IAPS use and 0 indicates not in use for the individual category).</p> <p>The Metadata_S1.pdf file contains detailed information on preparing literature records for data extraction, the data extraction process, and data organization. </p>
The world's 100 worst invasive alien insect species
<ol> <li>While there has been great interest in species characteristics that promote invasiveness, still little is known about the characteristics that distinguish invasive from non-invasive insects. Using a database on the naturalized distributions of alien insects and expert opinions about their impacts, we identified the world's 100 worst invasive insect species.</li> <li>By comparing species characteristics reported in the literature using a meta-analysis, between the 100 worst invasive species and related non-invasive species, we found that invasive insects overall have more pathways of introduction, occur in more habitats, have higher fecundities, higher voltinism, more genes, shorted lifespans and faster development from egg to adult. Some of the differences in species characteristics are related to propagule pressures, life-histories and biotic interactions, conditional on whether the non-invasive species compared is known to be naturalized somewhere, whether the invasive species is globally distributed, and the climatic region of the species.</li> <li> <em>Synthesis and applications</em>: We show for the first time, using a multi-species comparative approach, that invasive insects differ in several characteristics from related non-invasive insects. Our results show that invasive species, such as Spodoptera frugiperda, typically are habitat generalists with a high fecundity, a short lifespan, and fast development, whereas the importance of female body size and number of enemies are context dependent. Our study can guide and improve existing screening tools for assessing the invasion potential of alien insects.</li> </ol>
ScienceDex guides
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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.