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OpenNeuro44/100

Conditional Visual Associative Learning Task

Open the record for dataset details and reuse information.

openCC0Jan 2019View details →

zenodo44/100

Prey nutrient content is associated with the trophic interactions of spiders and their prey selection under field conditions

<h2>Materials and Methods</h2> <h2><a name="_Toc58843581"></a>Fieldwork</h2> <a name="_Hlk173879015"></a><a name="_Hlk56335325"></a>Money spiders (Araneae: Linyphiidae) and wolf spiders (Araneae: Lycosidae), the two most abundant spider groups in this study, were visually located along transects in two adjacent barley fields at Burdons Farm, Wenvoe in South Wales (51°26'24.8"N, 3°16'17.9"W) and collected from occupied webs and the ground in daylight hours between April and September 2018. Each belt transect was adjacent to a randomly selected crop tramline and were distributed across the entire field and ran its length. The areas searched were 4 m2 quadrats at least 10 m apart and all observed linyphiids and lycosids were collected. The 300 spiders taken forward for molecular dietary analysis in this study were taken from 64 randomly selected locations along the aforementioned transects. Following collection of spiders, 4 m2 of ground and crop stems was suction sampled <a name="_Hlk173879230"></a>in each of these 64 sampling locations for approximately 30 seconds, with the collected material emptied into a bag and any organisms immediately killed with ethyl-acetate. Suction sampling used a ‘G-vac’ modified garden leaf-blower. All material was later frozen at -20 ºC for storage before sorting in the lab. Sticky trap data were also collected, but were not used in this study as suction sampling was found to represent the interactions of spiders more closely (Cuff, Tercel et al., 2024). These invertebrates were collected for background population densities and macronutrient analysis, not for molecular dietary analysis. All invertebrates were identified to family level using morphological keys: Araneae (Roberts, 1993), Diptera (Ball, 2008), Coleoptera (Duff, 2012), Hymenoptera (Goulet & Huber, 1993), Hemiptera (Unwin, 2001), Collembola (Dallimore & Shaw, 2013) and Chilopoda (Barber, 2008). Further identifications were not carried out due to the inability to identify some of the invertebrate groups further via the associated metabarcoding-derived dietary data (e.g., Sciaridae), and the difficulty associated with finer taxonomic resolution of many damaged or immature specimens. The only taxa not identified to family level were springtails of the superfamily Sminthuroidea (Sminthuridae and Bourletiellidae, which were often indistinguishable following suction sampling and preservation due to the fine features necessary to differentiate them) which were left at super-family, mites (many of which were immature or in poor condition, or lacked appropriate taxonomic keys) which were identified to order level and wasps of the superfamily Ichneumonoidea (which were identified no further due to obscurity of wing venation due to damage); in these cases, these taxonomic assignments were pooled to family-level for later analyses. <a name="_Hlk96098198"></a> Extraction, amplification and sequencing of DNA from the individually collected spiders, and its bioinformatic analysis are described by Cuff, Tercel, et al. (2022) and Drake et al. (2022) and are also detailed in Supplementary Information 1. In short, dietary metabarcoding was carried out using two primer pairs, one excluding predator DNA and the other amplifying it, to overcome the problem of overamplification of predator DNA (Cuff, Kitson, et al., 2023). Amplified DNA was sequenced on an Illumina MiSeq V3 2x300 cartridge, and resultant data screened for false positives following bioinformatic processing via minimum sequence copy thresholds applied according to read counts in controls and control DNA counts present in samples (Drake et al., 2022).   <h2><a name="_Toc58843582"></a>Macronutrient determination</h2> Specimens were taken for macronutrient analysis from the same suction samples collected for invertebrate community identification. Representatives were taken from each family found in the community samples for which specimens were intact, in visually good condition and relatively clean of soil and other contaminants. If specimens were from a relatively uncommon family but unclean, soil and other surface contaminants were physically removed, and the specimen then momentarily dipped in water to remove remaining surface contaminants without greatly dislodging surface lipids. <a name="_Hlk173879439"></a>Macronutrient contents were determined following the MEDI protocol (Cuff, Wilder, et al., 2021; Cuff & Wilder, 2021) with minor alterations to account for the small size of most of the invertebrates processed (Cuff, 2021) and with the omission of exoskeletal measurement. During extraction, half volumes (i.e., 500 µl) of solvents were used. For the lipid assays, 15 µl of sulfuric acid was added for a 15 min incubation, followed by only 200 µl of vanillin reagent to increase the concentration and development of analyte for more accurate readings from smaller invertebrates. Lipid and protein standard series were diluted to 50% of the concentration specified in the original protocol (i.e., 0-1 mg ml-1). Carbohydrate assays used 140 µl of reagent with 30 min incubation at 92 °C followed by a further 30 min at room temperature. Carbohydrate standard series were diluted to 1 % of the concentrations specified in the original protocol (i.e., 0-0.02 mg ml-1) to ensure signals overcame the higher limit of detection relative to typical invertebrate carbohydrate content.  <a name="_Hlk173926384"></a>Mean macronutrient contents were calculated for each taxon and converted into proportions of the total macronutrient mass detected for each taxon (i.e., macronutrient values are given as % total macronutrient mass). Macronutrient data were allocated to each prey taxon. Where macronutrient data were not available for a family (due to no or very few individuals being present in vacuum samples), average data for that order were used.   <h2><a name="_Toc58843584"></a>Statistical analysis</h2> We have assessed nutritional dynamics through a combination of multivariate models and network-based null modelling. All analyses were conducted in R v.4.0.3 (R Core Team, 2020). To compare the nutritional balance of prey consumed by different spider groups, the mean nutrient contents of all prey consumed by each spider were calculated and compared using a multivariate linear model (MLM) via the ‘manylm’ command in mvabund (Wang et al., 2012). Differences were visualised using ternary plots via ‘ggtern’ (Hamilton & Ferry, 2018) and ‘ggplot2’ (Wickham, 2016). How spider diets differ between spider groups (genera, sexes and life stages) and how this is related to the nutrient contents of those prey was assessed using a fourth corner analysis (FCA). Fourth corner analyses assess how the relationship between the presence of species (or consumed resources in a dietary context) and environmental (or consumer) traits relates to species traits (or prey traits; (Brown et al., 2014). First, overall relationships between dietary composition and spider traits were assessed using a multivariate generalized linear model (MGLM) via the ‘manyglm’ command in the ‘mvabund’ package (Wang et al., 2012) with a binomial error family. These relationships were identified via likelihood ratio test using the ‘anova.manyglm’ command. A fourth corner analysis was performed using the ‘trait.glm’ command in mvabund with the ‘R’, ‘Q’ and ‘L’ matrices representing dietary detections of prey families in each spider, spider trait data (genus (a proxy for many unmeasured traits such as morphology), sex and life stage) and prey proportional macronutrient contents, respectively, with a binomial error family. Log-likelihood ratio tests were carried out using the ‘anova.traitglm’ command with 999 bootstrap iterations and Monte-Carlo resampling. The model was repeated with the least absolute shrinkage and selection operator (LASSO) applied, which is a method of penalised likelihood that reduces model terms to zero if they lack predictive power (i.e., do not reduce the Bayesian information criterion), thereby selecting models with greater predictive accuracy (Brown et al., 2014). To assess whether the proportions of mean prey nutrient contents deviated from those expected based on random foraging, null diets were simulated using network-based null models in ‘econullnetr’ (Vaughan et al., 2018) with the ‘generate_null_net’ command. The ‘generate_null_net_indiv’ function (Cuff, Windsor, et al., 2023) was used to generate null diets for each individual spider based on local prey communities determined via suction sampling. The mean prey macronutrient contents of spider diets were compared between expected and observed diets using a MLM in mvabund, and significant differences visually represented through a ternary plot using ggtern. To ascertain how differences between spider groups factor into any deviations from random nutrient intake, the difference in macronutrient proportions between expected and observed spider diets was also compared between spider genera, life stages and sexes in a MLM. To relate prey preferences of different spider groups to different prey and their macronutrient contents, observed interactions were compared against null models based on prey abundances using the ‘generate_null_net’ command in econullnetr (as above) for each of the spider groups and, separately, for individual spiders. Ternary plots representing preference effect sizes for prey of varying macronutrient contents were generated using the group-specific data via ‘ggtern’. The observed interactions of individual spiders were divided by the interactions expected in the null model; infinite values (i.e., zero interactions expected and more than zero observed) and NAs (e.g., no interactions expected nor observed) were converted to zero. These observed/expected values were compared between spider groups via permutational multivariate analysis of variance (PerMANOVA). These results were visualised by plotting mean standardised effect sizes for each spider genus, sex and life stage from the prey choice null models via ggplot2.

opencc-by-4.0Aug 2024View details →

zenodo40/100

Can root-associated fungi mediate the impact of abiotic conditions on the growth of a High Arctic herb?

This is a dataset containing fragments of internal transcribed spacer 2 (ITS2) extracted from Bistorta vivipara root-associated fungi, sampled from snow fence experiment in Adventdalen, Svalbard.  This dataset was used in Wutkowska et al., 2020, Can root-associated fungi mediate the impact of abiotic conditions on the growth of a High Arctic herb?Can root-associated fungi mediate the impact of abiotic conditions on the growth of a High Arctic herb? [available at biorXiv.org, DOI: 10.1101/2020.06.20.157099] Now the manuscript is available as a peer-reviewed paper: Wutkowska, Magdalena, Dorothee Ehrich, Sunil Mundra, Anna Vader, and Pernille Bronken Eidesen. 2021. ‘Can Root-Associated Fungi Mediate the Impact of Abiotic Conditions on the Growth of a High Arctic Herb?’ Soil Biology and Biochemistry 159:108284. doi: 10.1016/j.soilbio.2021.108284.   All other corresponding data are available here: https://github.com/magdawutkowska/bistorta

opencc-by-4.0Dec 2020View details →

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Newly identified nematodes from the Great Salt Lake are associated with microbialites and specially adapted to hypersaline conditions

Extreme environments enable the study of simplified food-webs and serve as models for evolutionary bottlenecks and early Earth ecology. We investigated the biodiversity of invertebrate meiofauna in the benthic zone of the Great Salt Lake (GSL), UT, one of the most hypersaline lake systems in the world. The hypersaline bays within the GSL are currently thought to support only two multicellular animals: brine fly larvae and brine shrimp. Here, we report the presence, habitat, and microbial interactions of novel free-living nematodes. Nematode diversity drops dramatically along a salinity gradient from a freshwater river into the south arm of the lake. In Gilbert Bay, nematodes primarily inhabit reef-like organosedimentary structures built by bacteria called microbialites. These structures likely provide a protective barrier to UV and aridity, and bacterial associations within them may support life in hypersaline environments. Notably, sampling from Owens Lake, another terminal lake in the Great Basin that lacks microbialites, did not recover nematodes from similar salinities. Phylogenetic divergence suggests that GSL nematodes represent previously undescribed members of the family Monhysteridae – one of the dominant fauna of the abyssal zone and deep-sea hydrothermal vents. These findings update our understanding of halophile ecosystems and the habitable limit of animals.

opencc-zeroFeb 2024View details →

zenodo40/100

Data and scripts for Co-phylogeny, narrow host breadth and local conditions drive highly specialized bird-haemosporidian associations in West-Central African sky islands

This document includes the raw datafiles, host and parasite phylogenies and r-code use to conduct analyses for "Co-phylogeny, narrow host breadth and local conditions drive highly specialized bird-haemosporidian associations in West-Central African sky islands". Please see the readme file to get more detailed information about each file.

opencc-by-4.0Nov 2024View details →

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Fig. 4 in Nematode-coccidia parasite co-infections in African buffalo: Epidemiology and associations with host condition and pregnancy

Fig. 4. Predicted mean and standard error body condition scores show associations with infection presence and season, with co-infected buffalo in much lower condition in the early wet season (Table S2). Coccidia infection status is represented with C– and C+; nematode infection status is represented with N– and N+.

opencc-by-4.0Aug 2014View details →

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Fig. 5 in Nematode-coccidia parasite co-infections in African buffalo: Epidemiology and associations with host condition and pregnancy

Fig. 5. Season and co-infection differences in nematode aggregation. (a) Aggregation patterns in calves (b) and non-calves. (c) In non-calves, the distribution of nematode parasites in the late wet season shows that k is not significantly different in coccidia positive vs. negative buffalo. (d) In the early wet season coccidia positive buffalo have a truncated distribution, resulting in significantly reduced aggregation. Arrows indicate nematode intensity values in the tail of the distribution of coccidia negative buffalo. Coccidia infection status is represented with C– and C+.

opencc-by-4.0Aug 2014View details →

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Fig. 3 in Nematode-coccidia parasite co-infections in African buffalo: Epidemiology and associations with host condition and pregnancy

Fig. 3. Patterns of parasite egg/oocyst counts with co-infection for (a) nematodes and (b) coccidia. (c), the mean nematode intensity in calves is higher in early wet season than in the late wet season independent of co-infection with coccidia. (d) Co-infection with coccidia alters the seasonal patterns of nematode intensity in non-calf buffalo (>1 year, juvenile through senescent). Calf vs. non-calf division is based on model paramters (Table 1).

opencc-by-4.0Aug 2014View details →

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Fig. 2 in Nematode-coccidia parasite co-infections in African buffalo: Epidemiology and associations with host condition and pregnancy

Fig. 2. Age specific patterns of parasite prevalence with co-infection. (a) Prevalence of nematodes is higher in buffalo co-infected with coccidia (C+) compared to coccidia negative buffalo (C–) in all age categories (N = 33, 318, 166, 272, 162 for calf, juvenile, subadult, adult and senescent C– buffalo; N = 58, 237, 55, 54, 20 for C+ buffalo). (b) Prevalence of coccidia is higher in buffalo co-infected with nematodes (N+) compared to nematode negative buffalo (N–) in calf, juvenile, subadult, and senescent buffalo but not adult buffalo (N = 13, 107, 92, 144, 56 for calf, juvenile, subadult, adult and senescent N– buffalo; N = 38, 448, 129, 208, 100 for N+ buffalo).

opencc-by-4.0Aug 2014View details →

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Fig. 1 in Nematode-coccidia parasite co-infections in African buffalo: Epidemiology and associations with host condition and pregnancy

Fig. 1. Age, sex and seasonal patterns of infection. Both parasites had the highest (a) prevalence (sample size for calf, juvenile, subadult, adult, and senescent respectively: N = 91, 555, 221, 326, 182) and (b) mean intensity in calves and juveniles (nematode N = 78, 448, 129, 208, 100; coccidia N = 58, 237, 55, 60, 14). (c) Males had lower estimated nematode prevalence and (d) higher estimated coccidia intensity compared to female buffalo. (e) The estimated nematode prevalence, coccidia prevalence, and (f) mean coccidia intensity were all increased in the early wet season compared to the late wet season. ‡Indicates significant differences at p <0.05.

opencc-by-4.0Aug 2014View details →

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Fig. 2 in Quantitative genetics of gastrointestinal strongyle burden and associated body condition in feral horses

Fig. 2. Predicted relationship between an individual's annual location and a) faecal egg count (measured as the natural logarithm of eggs per gram (EPG) + 25) and b) body condition. Location is scaled to a mean of 0 and standard deviation of 1, therefore 0 represents the centre of the island with −2 at the far west and 2 at the far east. The fitted line comes from the full univariate animal model in each case. In both cases, overlap between points is represented by darker point colour. In 2b. points have been jittered along the y axis to ease visualisation.

opencc-by-4.0Aug 2019View details →

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Fig. 2 in Oviposition of Aedes aegypti Linnaeus, 1762 and Aedes albopictus Skuse, 1894 (Diptera: Culicidae) under laboratory and field conditions using ovitraps associated to different control agents, Manaus, Amazonas, Brazil

Fig. 2. Total Aedes aegypti and Aedes albopictus adults obtained through egg collection in ovitraps containing grass infusion (control) and associated with different control agents. Legend: *(gI + Bti) – grass infusion + Bacillus thuringiensis israelensis; *(gI + Ss) – grass infusion + Saccharopolyspora spinosa; *(dW + Th) – distilled water + Toxorhynchites haemorrhoidalis; *(gI + P) – grass infusion + Pyriproxyfen;* (gI) – grass infusion (control).

opencc-by-4.0Aug 2018View details →

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Fig. 1 in Oviposition of Aedes aegypti Linnaeus, 1762 and Aedes albopictus Skuse, 1894 (Diptera: Culicidae) under laboratory and field conditions using ovitraps associated to different control agents, Manaus, Amazonas, Brazil

Fig. 1. Ovitraps Positivity Index (OPI) and Egg Density Index (EDI) with association of grass infusion with different control agents using ovitraps in the period ranging from June to July 2015, Manaus – Amazonas – Brazil. Legend: *(gI + Bti) – grass infusion + Bacillus thuringiensis israelensis; * (gI + Ss) – grass infusion + Saccharopolyspora spinosa; * (dW + Th) – distilled water + Toxorhynchites haemorrhoidalis; *(gI + P) – grass infusion + Pyriproxyfen; * (gI) – grass infusion (control).

opencc-by-4.0Aug 2018View details →

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Climate-associated decline of body condition in a fossorial salamander

Climate-associated decline of body condition in a fossorial salamander Abstract Temperate ectotherms have responded to recent environmental change, likely due to the direct and indirect effects of temperature on key life-cycle events. Yet, a substantial number of ectotherms are fossorial, spending the vast majority of their lives in subterranean microhabitats that are assumed to be buffered against environmental change. Here we examine whether seasonal climatic conditions influence body condition (a measure of general health and vigor), reproductive output, and breeding phenology in a northern population of fossorial salamander (Spotted Salamander,Ambystoma maculatum). We found that breeding body condition declined over a 12 year monitoring period (2008–2019) with warmer summer and autumn temperatures at least partly responsible for the observed decline in body condition. Our findings are consistent with the hypothesis that elevated metabolism drives the negative association between temperature and condition. Population-level reproduction, assessed via egg mass counts, showed high interannual variation and was weakly influenced by autumn temperatures. Salamander breeding phenology was strongly correlated with lake ice-melt but showed no long-term temporal trend (1986–2019). Climatic warming in the region, which has been and is forecasted to be strongest in the summer and autumn, is predicted to lead to a 5 to 27% decline in salamander body condition under realistic near-future climate scenarios. Although the subterranean environment offers a thermal buffer, the observed decline in condition and relatively strong effect of summer temperature on body condition suggest that fossorial salamanders are sensitive to the effects of a warming climate. Given the diversity of fossorial taxa, heightened attention to the vulnerability of subterranean microhabitat refugia and their inhabitants is warranted amid global climatic change.   The dataset and corresponding R script are split into five parts, consistent with the presentation of Methods/Results in Moldowan et al. Part 1 of 5: Body condition data and analysis files <ul> <li>2008.2019.female.SMI.CONSTANTSVL.csv</li> <li>2008.2019.male.SMI.CONSTANTSVL.csv</li> <li>2009.2019.female.SMI.CONSTANTSVL.csv</li> <li>2009.2019.male.SMI.CONSTANTSVL.csv</li> <li>BodyCondition.TimeSeries.WeightedRegression.csv</li> <li>SMAregression.Female.2009.2019.R</li> <li>SMAregression.Male.2009.2019.R</li> <li>ModelSel.Avrg.Forecast.AutoCor.FemaleBodyCondition.climate.R</li> <li>ModelSel.Avrg.Forecast.AutoCor.MaleBodyCondition.climate.R</li> <li>WeightedRegression.BodyCondition.TimeSeries.R</li> <li>YearEffects-Njal_PDM update (20 March 2021)</li> </ul>   Part 2 of 5: Forecast body condition under climate change files <ul> <li>2009.2019.male.SMI.CONSTANTSVL.csv (as above in Part 1)</li> <li>HeatMap.Forecast.MaleSMI.04 Feb 2021.R</li> </ul>   Part 3 of 5: Reproductive output (egg mass) data and analysis files <ul> <li>2009.2019.EggCount.Climate.csv</li> <li>ReproductiveOutput.climate.R</li> </ul>   Part 4 of 5: Breeding phenology data and analysis files <ul> <li>2008.2019.BreedingPhenology.Climate.csv</li> <li>Opeongo.Two Rivers.Bat.IceOff.csv</li> <li>BreedingPhenology.climate.R</li> </ul>   Part 5 of 5: Temperature dataloggers and salamander metabolic rate estimation files <ul> <li>HOBO_Bat_Lake_Underground_Temperatures.csv</li> <li>WhitfordHutchison1967Data.csv</li> <li>WhitfordHutchison1967DataExplainer.xlsx</li> <li>Metabolic Rate Prediction_PDM, 21 Feb 2021.R</li> </ul>

opencc-by-4.0Jun 2021View details →

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Newly identified nematodes from the Great Salt Lake are associated with microbialites and specially adapted to hypersaline conditions

Open the record for dataset details and reuse information.

publicFeb 2024View details →

dryad36/100

δ15N of nitric oxide produced under aerobic or anaerobic conditions from seven soils and their associated N isotope fractionations

Measuring the nitrogen isotope compositions (δ15N) of nitric oxide (NO) from different sources helps to quantify the relative contributions of atmospheric NOx. Soil is one of the most important sources of atmospheric NOx, but only limited measurements on the δ15N of soil emitted NO exist, hampering our ability to partition sources to air pollution. Here we conducted soil incubations to measure the δ15N-NO under defined aerobic or anaerobic conditions, favoring either nitrification or denitrification. Soils were collected from seven sites spanning three ecosystems in northern China (two agricultural, two forest, and three grassland sites). We found that the δ15N-NO and their associated N isotope fractionations were significant different between anaerobic and aerobic conditions in seven soils. Under aerobic condition, the δ15N-NO ranged from -62‰ to -50‰ (averaged -56 ± 4‰), being significantly more negative (by 23‰) than those under anaerobic condition (-45‰ to -23‰, averaged -33 ± 7‰). The apparent N isotope fractionation for NO production under aerobic condition (15εaerobic = 61 ± 3‰) was significantly higher (by 26‰) than under anaerobic condition (15εanaerobic = 35 ± 6‰), with a small variability among ecosystem types. Our study demonstrates that the δ15N-NO from different soils are very different from fuel combustions (mainly from 0 to +20‰), supporting that measuring 15N is a useful tool to partition the contributions of soil NO to atmospheric NOx. Our results also imply δ15N-NO produced by nitrification and denitrification distinctly different, as these two processes are dominant processes producing NO under aerobic and anaerobic conditions, respectively.

opencc-zeroAug 2020View details →

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Cultivation of host-associated bacteria under sulfide-enriched microoxic and anoxic conditions

Three images of cell colonies on culture plates inoculated with gill tissue homogenate from Bathymodiolus brooksi. The colonies grew under the following conditions:    <ul> <li>IMG_2467: microoxic, low H2S, low ammonium</li> <li>IMG_2468: microoxic, low H2S, low ammonium, organics</li> <li>IMG_2474: microoxic, low H2S, high ammonium, organics, 1 mM thiosulfate</li> </ul> Image of a control plate without cultures inoculated with heat sterilized aliquot of Bathymodiolus brooksi gill homogenate: <ul> <li>IMG_2475</li> </ul> Two images of pH controls plated with homogenization medium that did not contain gill homogenate: <ul> <li>IMG_2477: phenol red</li> <li>IMG_2479:  bromothymol blue</li> </ul> Two close up photos of colonies on agar plates <ul> <li>IMG_2485</li> <li>IMG_2488</li> </ul>

opencc-by-4.0Nov 2015View details →

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Data from: Associations with landscape and local-scale wetland habitat conditions vary among migratory shorebird species during stopovers

Wetlands provide many ecosystem services and functions, including critical stopover habitat for numberous migratory shorbirds species. We conducted shorebird surveys at >14,000 wetlands and associated observed abundance with wetland variables for 16 species. We found that the scale at which observed abundance was associated with wetland extent varied among speceis, and that for most species abundance was positively associated with higher wetland density, presence of shallow water, more usable area, and limited vegetation. There was considerable variation in the strength and sometimes direction of responses. Our study helps inform optimal habitat requirementes for shorebirds.

opencc-zeroNov 2023View details →

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Abiotic conditions along altitude shape plant-fungal associations by influencing both fungal availability and association strength

These files contains the description of the data and scripts to reproduce the analyses of: "Abiotic conditions along altitude shape plant-fungal associations by influencing both fungal availability and association strength" which can be found here: <a href="https://doi.org/10.1111/1365-2745.70075">https://doi.org/10.1111/1365-2745.70075</a> As detailed in the study, the data consist of fungal DNA data from ten high and low Bistorta vivipara populations across Fennoscandia. Species-level fungal OTUs have been identified applying ITS2-based metabarcoding to the different parts of the focal plant B. vivipara (bulbils, leaves and roots) and its surrounding soil and leaves of surrounding plants. In total, the data contains data on 253 fungal OTUs across 641 sampling units. The README file describes the contents of the metadata and explains how the scripts are to be run in order to reproduce the results of the study.

opencc-by-4.0Jun 2024View details →

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Movies and temperature and pressure measurements associated with the study "Experimental evidence for lava-like mud flows under Martian surface conditions"

Movies and temperature and pressure data associated with the study "Experimental evidence for lava-like mud flows under Martian surface conditions".

opencc-by-4.0Sep 2019View details →

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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.

allen-brain-atlas

neuroscienceopenDocumentation, web resources, and API references are available online.

Last verified 2026-04-30Open record

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.

abode-home-cage

behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.

Last verified 2026-04-30Open record

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.

dandi-nwb

electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.

Last verified 2026-04-30Open record

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.

ibl

behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.

Last verified 2026-04-29Open record

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.

openneuro

neuroscienceopenPublished datasets are available on demand over the internet.

Last verified 2026-04-29Open record