Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
5,828
datasets available to search
ShareScore release 0.9.0
Dataset results
5,828 results for “Traits”
Physiological trait and genotype data for 1,038 outbred CFW mice
<p>R data set containing physiological trait data and genotype data for 1,038 mice from the Carworth Farms White (CFW) outbred mouse stock. These data were collected as part of a large study to assess the viability of using Carworth Farms White (CFW) mice for mapping genes and genetic loci underlying complex traits relevant to the study of human disease and psychology. The data accompany the following publication:</p> <p>Parker CC, Gopalakrishnan G, Carbonetto P, Gonzales NM, Leung E, Park YJ, Aryee E, Davis J, Blizard DA, Ackert-Bicknell CL, Lionikas A, Pritchard JK, Palmer AA. Genome-wide association study of behavioral, physiological and gene expression traits in commercially available outbred CFW mice. <em>Nature Genetics</em> <strong>48</strong>: 919–926.</p> <p>To use these data for your research, please cite this Zenodo resource, as well as the paper published in <em>Nature Genetics</em>.</p> <p>After loading these data into the R environment, e.g., by running "load(cfw.RData)", you will find R objects including:</p> <p>"pheno"—a 1,038 x 7 matrix containing the quantitative trait, or "phenotype", data. Traits include body weight, tibia length, muscle weights (EDL and soleus), and a binary indicator for abnormal bone health.</p> <p>"map"—a data frame containing information for 79,748 single nucleotide polymorphisms (SNPs) on chromosomes 1–19 genotyped in the CFW mice. All genomic positions are based on Mouse Genome Assembly 38 from the NCBI database (mm10, December 2011).</p> <p>"geno"—a 1,038 x 79,748 matrix containing genotype data for 1,038 mice at 79,748 SNPs.</p> <p>For more information on these data, please refer to the Data Dryad repository: http://dx.doi.org/10.5061/dryad.2rs41</p> <p>For code implementing QTL mapping of physiological, behavioral and gene expression phenotypes, and other analyses of these data, see: http://github.com/pcarbo/cfw</p>
Character coding comparisons: matrices of 115 traits for hominoids in TNT format.
<p>TNT_character_matrix_positions.csv: provides descriptions of the 115 characters and their positions in the character matrices.</p> <p>TNT_95CI_character_matrix.tnt: TNT format character matrix with 115 traits. Each trait value is a 95% confidence interval for the species mean.</p> <p>TNT_DVC_character_matrix.tnt: TNT format character matrix with 115 traits. Each trait value is coded using divergence coding.</p> <p>TNT_GWC_character_matrix.tnt: TNT format character matrix with 115 traits. Each trait value is coded using generalized gap weighting.</p> <p> TNT_HSC_character_matrix.tnt: TNT format character matrix with 115 traits. Each trait value is coded using homogeneous subset coding.</p> <p>TNT_IDO_character_matrix.tnt: TNT format character matrix with 115 traits. Each trait value is coded using identification of overlap coding.</p> <p>TNT_Mean_character_matrix.tnt: TNT format character matrix with 115 traits. Each trait value is a species mean.</p> <p> </p>
Efficient assays to quantify the life history traits of algal viruses
<p>Data and analysis files accompanying the paper 'Efficient assays to quantify the life history traits of algal viruses' (Lievens et al. 2023, Applied & Environmental Microbiology). Includes data and code for the modified one-step growth (mOSG) assay, modified survival (mS) assay, and comparison of the two assays.</p> <p>The only difference with the previous version of this package (doi 10.5281/zenodo.6573770) is that two typos were corrected in the file "mOSG & mS comparison.rmd" (lines 172 & 182; corrections noted in the script).</p>
Growth traits of a tropical timber species at Southeast Asia, Shorea macrophylla, and scripts for genome wide association study and genomic prediction
<p><em><span>Shorea macrophylla</span></em><span> is a commercially important tropical tree species grown for timber and oil. It is amenable to plantation forestry due to its fast initial growth. Genomic selection (GS) has been used in tree breeding studies to shorten long breeding cycles but has not previously been applied to <em>S. macrophylla</em>. To build genomic prediction models for GS, leaves and growth trait data were collected from a half-sib progeny population of <em>S. macrophylla</em> in Sari Bumi Kusuma forest concession, central Kalimantan, Indonesia. 18037 SNP markers were identified in two ddRAD-seq libraries. Genomic prediction models based on these SNPs were then generated for breast height and total height in the 7th year from planting (D7 and H7). These traits were chosen because of their relatively high narrow-sense genomic heritability and because seven years was considered long enough to assess initial growth. Genomic prediction models were built using 12 methods with the full set of identified SNPs and subsets of 48, 96, and 192 SNPs selected based on the results of a genome-wide association study (GWAS). The GBLUP and RKHS methods gave the highest predictive ability (PA) for D7 and H7 and showed that D7 has an additive genetic architecture while H7 has an epistatic genetic architecture. LightGBM and CNN1D also achieved high PA for D7 with 48 and 96 selected SNPs, and for H7 with 96 and 192 selected SNPs, showing that gradient boosting decision trees and deep learning can be useful in genomic prediction. For almost all methods and both traits, PA was higher when SNPs were selected based on their GWAS P-values than when using the full set of SNPs. These results suggest that GS with GWAS-based SNP selection could be used in <em>S. macrophylla </em>breeding to improve initial growth and reduce genotyping costs for next generation seedlings.</span></p>
Data from: The genetic basis of traits associated with the evolution of serpentine endemism in monkeyflowers
<p>The floras on chemically and physically challenging soils, such as gypsum, shale, and serpentine, are characterized by narrowly endemic species. The evolution of edaphic endemics may be facilitated or constrained by genetic correlations among traits contributing to adaptation and reproductive isolation across soil boundaries. The yellow monkeyflowers in the <em>Mimulus guttatus</em> species complex are an ideal system in which to examine these evolutionary patterns. To determine the genetic basis of adaptive and prezygotic isolating traits, we performed genetic mapping experiments with F2 hybrids derived from a cross between a serpentine endemic, <em>M. nudatus</em>, and its close relative <em>M. guttatus</em>. Few large effect and many small effect QTL contribute to interspecific divergence in life history, floral and leaf traits, and a history of directional selection contributed to trait divergence. Loci contributing to adaptive traits and prezygotic reproductive isolation overlap, and their allelic effects are largely in the direction of species divergence. These loci contain promising candidate genes regulating flowering time and plant organ size. Together our results suggest that genetic correlations among traits can facilitate the evolution of adaptation and speciation and may be a common feature of the genetic architecture of divergence between edaphic endemics and their widespread relatives.</p>
Bacterial traits, N deposition and mycorrhiza. qSIP Aspartic Acid
<p>Nitrogen (N) deposition increases soil carbon (C) storage by reducing microbial activity. These effects vary in soil beneath trees that associate with arbuscular (AM) and ectomycorrhizal (ECM) fungi. Variation in carbon C and N uptake traits among microbes may explain differences in soil nutrient cycling between mycorrhizal associations in response to high N loads, a mechanism not previously examined due to methodological limitations. Here, we used quantitative Stable Isotope Probing (qSIP) to measure bacterial C and N assimilation rates from an added organic compound, which we conceptualize as functional traits. As such, we applied a trait-based approach to explore whether variation in assimilation rates of bacterial taxa can inform shifts in soil function under chronic N deposition. We show taxon-specific and community-wide declines of bacterial C and N uptake under chronic N deposition in both AM and ECM soils. N deposition-induced reductions in microbial activity were mirrored by declines in soil organic matter mineralization rates in AM but not ECM soils. Our findings suggest C and N uptake traits of bacterial communities can predict C cycling feedbacks to N deposition in AM soils but additional data, for instance on the traits of fungi, may be needed to connect microbial traits with soil C and N cycling in ECM systems. Our study also highlights the potential of employing qSIP in conjunction with trait–based approaches to inform how ecological processes of microbial communities influence soil functioning</p>
Trait-based sensitivity of large mammals to a catastrophic tropical cyclone: DNA metabarcoding data
<p>Extreme weather events perturb ecosystems and increasingly threaten biodiversity<sup>1</sup>. Ecologists emphasize the need to forecast and mitigate the impacts of these incidents, which requires knowledge of how risk is distributed among species and environments, but the scale and unpredictability of extreme events complicates assessment<sup>1</sup><sup>–4</sup>. These challenges are compounded for large animals ('megafauna'), which play crucial ecological roles but are hard to study<sup>5</sup>. Traits such as body size, dispersal ability, and habitat affiliation are among the hypothesized determinants of animals' vulnerability to natural hazards<sup>1,6,7</sup>. However, it has rarely been possible to test these propositions or, more generally, to link short- and longer-term effects of weather-related disturbance<sup>8,9</sup>. Here, we show how large herbivores and carnivores in Mozambique responded to Intense Tropical Cyclone Idai, the deadliest storm on record in Africa, across scales ranging from individual decisions in the hours after landfall to community-level responses nearly 20 months later. Animals occupying low-elevation habitats exhibited strong spatial responses to rising floodwaters. Body size predicted species' subsequent numerical responses: small-bodied species exhibited the greatest population declines. We trace this sensitivity to limited mobility, which increased likelihood of death during the flood and constrained animals' capacity to withstand food shortages afterward. Our results identify potentially general trait-based mechanisms underlying animal responses to severe weather and may help to inform strategies for wildlife conservation in a volatile climate.</p> <ol> <li><span><em><span>Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change</span></em><span> [H.-O. Pörtner, D.C. Roberts, M. Tignor, E.S. Poloczanska, K. Mintenbeck, A. Alegría, M. Craig, S. Langsdorf, S. Löschke, V. Möller, A. Okem, B. Rama (eds.)]. Cambridge University Press. Cambridge University Press, Cambridge, UK and New York, NY, USA, (2022).</span></span></li> <li><span><span>Smith, M. An ecological perspective on extreme climatic events: A synthetic definition and framework to guide future research. <em>J. Ecol.</em> <strong>99</strong>, 656-663 (2011).</span></span></li> <li><span><span>Ummenhofer, C. C., & Meehl, G. A. Extreme weather and climate events with ecological relevance: a review, <em>Phil. Trans. R. Soc. B. </em><strong>372</strong>, 20160135 (2017).</span></span></li> <li><span><span>Jentsch, A., Kreyling, J., & Beierkuhnlein, C. A new generation of climate-change experiments: events, not trends. <em>Front. Ecol. Environ. </em><strong>5</strong>, 365-374 (2007).</span></span></li> <li><span><span>Pringle, R. M., et. al. Impacts of large herbivores on terrestrial ecosystems. <em>Current Biology</em> <strong>33</strong>, R584-R610 (2023).</span></span></li> <li><span><span>Spiller, D. A., Losos, J. B., & Schoener, T. W. Impact of a catastrophic hurricane on island populations. <em>Science </em><strong>281</strong>, 695-697 (1998). </span></span></li> <li><span><span>Schoener, T. W., & Spiller, D. A. Nonsynchronous recovery of community characteristics in island spiders after a catastrophic hurricane. <em>PNAS </em><strong>103</strong>, 2220-2225 (2006).</span></span></li> <li><span><span>Pruitt, N., Little, A. G., Majumdar, S. J., Schoener, T. W., & Fisher, D. N. Call-to-Action: A global consortium for tropical cyclone ecology. <em>TREE </em><strong>34</strong>, 588-590 (2019).</span></span></li> <li><span><span>Lin, T. C., Hogan, J. A., & Chang, C. T. Tropical cyclone ecology: a scale-link perspective. <em>TREE </em><strong>35</strong>, 594-604 (2020).</span></span></li> </ol>
Placental Expression Quantitative Trait Loci In An East Asian Population
<p>Analysis script, full eQTL summary statistics, and fine-mapping statistics of article "Placental Expression Quantitative Trait Loci In An East Asian Population". This data contains workflow and result of 102 East Asian placental expression quantitative trait loci analysis.</p><p>Genotype from 102 cord blood used in the analysis is also included. Variants with minor allele frequencies less than 0.01 was filtered out to prevent personnel identification.</p>
Soil BON Earthworm Trait template
<p>Within the Soil BON Earthworm initiative, a trait template was developed, building largely on the one created for the BETSI database (Pey et al, 2014a, b). Similarly, the data template is composed of several leaflets:</p><ol><li>"readme": this leaflet contains all column names from the leaflet "template to fill with data" and provide the necessary information to properly fill the information needed.</li><li>"template to fill with data": this leaflet is a long-format table in which each line is a trait value from a specific reference, allowing multiple trait values of the same trait for the same species to account for intraspecific trait variability due to inter-population variability, geography or ontogeny</li><li>"drop down list": this leaflet is non-modifiable and contains the different lists from which trait values are taken (e.g. trait name) to avoid synonyms.</li></ol><p>Trait expression is highly influenced by the environment and metadata associated with any trait value is necessary. For certain traits, meta-data is especially important, such as burrow system characteristics that need to be linked to soil volume, density, moisture levels, or cast characteristics that need to be compared to the bulk soil. The trait template will be updated in the future to offer a solution to link single trait data and the metadata associated.</p>
Shortgrass prairie (Colorado, USA) and northern mixedgrass prairie (Wyoming, USA) species traits
<p>These data support Mueller et al. 2023, entitled "Coordination of leaf, root, and seed traits shows the importance of whole plant economics in two semiarid grasslands."</p> <p>Uncertainty persists within trait-based ecology, partly because few studies assess multiple axes of functional variation and their effect on plant performance. For 55 species from two semiarid grasslands, we quantified: i) covariation between economic traits of leaves and absorptive roots, ii) covariation among economic traits, plant height, leaf size, and seed mass, and iii) relationships between these traits and species' abundance. Pairs of analogous leaf and root traits were at least weakly positively correlated (e.g., SLA and SRL). Two pairs of such traits, N content and DMC of leaves and roots, were at least moderately correlated (r>0.5) whether species were grouped by site, taxonomic group and growth form, or life history. Root diameter was positively correlated with seed mass for all groups of species except annuals and monocots. Species with higher LDMC tended to be more abundant (r=0.63). Annuals with larger seeds were more abundant (r=0.69). Compared to global-scale syntheses with many observations from mesic ecosystems, we observed stronger correlations between analogous leaf and root traits, weaker correlations between SLA and leaf N, and stronger correlations between SRL and root N. In dry grasslands, plant persistence may require coordination of above- and belowground traits, and dense tissues may facilitate dominance.</p>
Functional traits—not nativeness—shape the effects of large mammalian herbivores on plant communities
<p>Large mammalian herbivores (megafauna) have experienced extinctions and declines since prehistory. Introduced megafauna have partly counteracted these losses yet are thought to have unusually negative effects compared to native megafauna. Using a meta-analysis of 3,995 plot-scale plant abundance and diversity responses from 221 studies, we found no evidence that megafauna impacts were shaped by nativeness, 'invasiveness', 'feralness', coevolutionary history, or functional and phylogenetic novelty. Nor was there evidence that introduced megafauna facilitate introduced plants more than native megafauna. Instead, we found strong evidence that functional traits shaped megafauna impacts, with larger-bodied and bulk-feeding megafauna promoting plant diversity. Our work suggests that trait-based ecology provides better insight into interactions between megafauna and plants than concepts of nativeness.</p>
Dataset for: Climate and shared evolutionary history drive trait variation among species of Neotropical understory monocots
<p>Dataset and p-values form phylogenetically generalized least square models accompanying the manuscript "Climate and shared evolutionary history drive trait variation among species of Neotropical understory monocots".</p>
Genetic Architecture Reconciles Linkage and Association Studies of Complex Traits
<p>This (zipped) folder contains 3 sub-folders:</p> <p>#**********************************************************************************************************<br>The "bin" folder contains fuctions and gentic maps needed for analyes<br>bin \<br> predLink.R - function to predict linkage <br> sibREML_v0.1.1.R - function to run SibREML<br> sim-sib-array.R - script to simulate sib-pairs from parental haplotypes<br> Summarised_genetic_map_bcf.txt - genetic map per 0.5-cM long segments, based on map from bcftools <br> (BCFtools: https://samtools.github.io/bcftools/bcftools.html)<br> Summarised_genetic_map_OMNI.txt - genetic map per 0.5-cM long segments, based on OMNI map <br> (https://github.com/joepickrell/1000-genomes-genetic-maps/tree/master/interpolated_OMNI)<br>#**********************************************************************************************************</p> <p> </p> <p>#**********************************************************************************************************<br>The "SIM" folder contains the simulation pipeline (scripts 01-15) as well as IBD sharing and simulated phenotypes for Simulated sib-pairs.<br>SIM \<br> 01_sim-sib-array.sh *pre-run*<br> 02_bed_recode_bcf_map.sh *pre-run*<br> 03_make_merlin.R *pre-run*<br> 04_error_merlin.sh *pre-run*<br> 05_merlin_IBD.sh *pre-run*<br> 06_sample_causal_snps.R *pre-run*<br> 07_simulate_pheno.sh *pre-run*<br> 08_bhat_gwas.R *can be run using provided data* <br> 09_Linkage_VH.R *can be run using provided data* <br> 10_predLink.R *can be run using provided data*<br> 11_phi_hat.R *can be run using provided data*<br> 12_IBD_Mb.R *can be run using provided data*<br> 13_IBD_cM_recombrate_stratified.R *can be run using provided data*<br> 14_SibREML.R *can be run using provided data*<br> 15_SibREML_stratified_Q4.R *can be run using provided data*<br> causal_snps \ *provided causal SNPs*<br> IBD_results \ *provided IBD-probabilities for 1000 simulated sib-pairs*<br> Linkage_VH_results \ <br> pheno \ *provided simulated phenotypes (h2=1) for 8 genetic architectures*<br> Phi_hat_results.txt<br> predicted \<br> README<br> SibREML_results.txt<br> SibREML_stratified_Q4.txt</p> <p>The data can be used to run Linkage analysis, predict linkage, estimate phi_hat, <br>as well as estimate non-stratified and recombination rate stratified sib-heritability (h2_FS and c).<br>The README is provided within the folder. <br>#**********************************************************************************************************</p> <p> </p> <p>#**********************************************************************************************************<br>The "HT_BMI" folder contains data and scripts to predict linkage and estimate phi_hat for height and BMI.<br>HT_BMI \<br> 01_predLink_HT_BMI.R<br> 02_phi_hat_HT_BMI.R<br> gws_sumstats \ *provided summary GWAS summary statistics to predict linkage for height and BMI*<br> Linkage_results \ *provided linkage meta-analysis results for height and BMI from this study*<br> Phi_hat_results_HT_BMI.txt<br> PREDLINK_bmi.txt<br> PREDLINK_height.txt<br> README<br>The README is provided within the folder.<br>#**********************************************************************************************************</p> <p><strong> </strong></p>
Consistent traffic noise impacts few fitness-related traits in a field cricket
<p>Anthropogenic habitat change is occurring rapidly, and organisms can respond through within-generation responses that improve the match between their phenotype and the novel conditions they encounter. But, plastic responses can be adaptive or maladaptive and are most likely to be adaptive only when contemporary conditions reasonably mimic something experienced historically to which a response has already evolved. Noise pollution is a ubiquitous anthropogenic stressor that accompanies expanding urbanization. We tested whether the amplitude of traffic noise influences a suite of fitness-related traits (e.g. survival, life history, reproductive investment, immunity) and whether that depends on the life stage at which the noise is experienced (juvenile or adult). Our treatments mimic the conditions experienced by animals living in urban roadside environments with variable vehicle types, but continuous movement of traffic. We used the Pacific field cricket, an acoustically communicating insect that was previously shown to experience some negative behavioral and life history responses to very loud, variable traffic noise, as a model system. </p>
Data from: Tree functional traits across Caribbean island dry forests are remarkably similar
<p>Delineation of potential dry forest and estimated actual dry forest on Caribbean islands. Potential dry forest is delineated based on CHELSA climate data (<a href="http://www.chelsa-climate.org/">www.chelsa-climate.org</a>) and the FAO definition of dry forest. Estimated actual dry forest is corrected for land cover using data from Hansen et al. (2022) <a href="https://doi.org/10.1088/1748-9326/ac46ec">https://doi.org/10.1088/1748-9326/ac46ec</a>. Areas of potential dry forest, estimated actual dry forest, and area of built-up land covers are summarized by islands and joined to CHELSA bioclimatic variables for selected islands where data on functional traits are available. Trait values by sites are also included. The package consists of data outputs and R scripts to reproduce the data outputs from identified publicly available data sources.</p>
Distance functions of carabids in crop fields depend on functional traits, crop type and adjacent habitat: a synthesis
<p>Natural pest and weed regulation are essential for agricultural production, but the spatial distribution of natural enemies within crop fields and its drivers are mostly unknown. Using 28 datasets comprising 1,204 study sites across eight Western and Central European countries, we performed a quantitative synthesis of carabid richness, activity densities and functional traits in relation to field edges (i.e. distance functions). We show for the first time that distance functions of carabids strongly depend on carabid functional traits, crop type and, to a lesser extent, adjacent non-crop habitats. Richness of both predators and granivores and activity densities of small and granivorous species decreased towards field interiors, whereas the densities of large species increased. We found strong distance decays in maize and vegetables whereas richness and densities remained more stable in cereals, oilseed crops and legumes. We conclude that carabid assemblages in agricultural landscapes are driven by the complex interplay of crop types, adjacent non-crop habitats and further landscape parameters with great potential for targeted agroecological management. In particular, our synthesis indicates that a higher edge-interior ratio can counter the distance decay of carabid richness per field and thus likely benefits natural pest and weed regulation, hence contributing to agricultural sustainability.</p>
Thermal performance of Aedes sierrensis life history traits for populations collected across the species range
<p>How mosquitoes may respond to rapid climate warming remains unknown for most species, but will have major consequences for their future distributions, with cascading impacts on human well-being, biodiversity, and ecosystem function. We investigated the adaptive potential of a wide-ranging mosquito species, <em>Aedes sierrensis</em>, across a large climatic gradient by conducting a common garden experiment measuring the thermal limits of mosquito life history traits. Although field-collected populations originated from vastly different thermal environments that spanned over 1,200 km, we found limited variation in upper thermal tolerance between populations. In particular, the upper thermal limits of all life history traits varied by <3°C across the species range and, for most traits, did not differ significantly between populations. For one life history trait—pupal development rate—we did detect significant variation in upper thermal limits between populations, and this variation was strongly correlated with source temperatures, providing evidence of local thermal adaptation for pupal development. However, we found that maximum environmental temperatures across most of the species' range already regularly exceed the highest upper thermal limits estimated under constant temperatures. This result suggests that strategies for coping with and/or avoiding thermal extremes are likely key components of current and future mosquito thermal tolerance.</p>
Data from: The role of fish predators and their foraging traits in shaping zooplankton community structure
<p><span>Differentiation of foraging traits among predator populations may help explain observed variation in the structure of prey communities. However, few studies have investigated the phenotypic effects of predators on their prey in natural communities. Here, we use a comparative analysis of 78 Greenlandic lakes to examine how foraging trait variation among threespine stickleback populations can help explain variation in zooplankton community composition among lakes. We find that landscape-scale variation in zooplankton composition was jointly explained by lake properties, such as size and water chemistry, and the presence and absence of both stickleback and arctic char. </span><span>Additional variation in zooplankton community structure can be explained by stickleback jaw protrusion, a trait with known utility for foraging on zooplankton, but only in lakes where stickleback co-occur with arctic char. Overall, our results illustrate how trait variation of consumers, alongside other ecosystem properties, can influence the composition of prey communities in nature.</span></p>
Unraveling clonal trait space: Beyond aboveground and fine-root traits
<p>Plant trait variation is constrained by mechanical and energetic tradeoffs as attested by the global spectrum of plant form and function and the fine-root economics space for above- and belowground traits. However, traits that are key for fitness maintenance in some plant groups, such as clonal and bud bank traits, have not yet been integrated within the frameworks provided by the aboveground and the fine-root economics space.</p> <p>By using an extensive dataset encompassing aboveground, fine-root, clonal, and bud bank traits of 2000 species of Central European herbs, we asked whether clonal and bud bank traits correspond to the placement of species in the aboveground or fine-root trait spaces.</p> <p>Perennial clonal and non-clonal herbs show indistinct positioning within the aboveground and fine-root trait spaces. This extends and reinforces previous fragmentary evidence of weak correlations between clonal and bud bank traits and aboveground trait dimensions. Additionally, we identify for the first time a limited correlation between clonal and fine-root traits as well. This disconnection suggests that clonal traits operate independently from other trait spectra. For this reason, we introduce the concept of a "clonal trait space" for clonal herbs. The first dimension of this space is defined by bud bank size and the persistence of clonal connection, reflecting a gradient of species specialisation for on-spot persistence and tolerance to disturbance (persistence dimension). The second dimension, defined by multiplication rate and lateral spread, reflects a specialisation axis for clonal multiplication and horizontal size dimension (clonal multiplication dimension). Clonal trait dimensions add non-redundant information to the aboveground or fine-roots trait space.</p> <p><strong>Synthesis:</strong> We champion the integration of the persistence and clonal multiplication dimensions from the "clonal trait space" into the frameworks provided by the aboveground trait and the fine-root economics spaces, thereby enhancing our comprehension of the multifaceted trait strategies exhibited by plants.</p>
Drivers of plant diversity, community composition, functional traits and soil processes along an alpine gradient in the central Chilean Andes
<p>The datasets in this repository include plant community surveys, hyperspectral reflectance data at the leaf and canopy level, leaf trait data, and soil chemistry data collected at five sites along an elevation gradient of 2400m-3500m in the Chilean Andes (33°S, 70°W). The purpose of this study was to evaluate the environmental drivers of community assembly processes along the elevation gradient.</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.