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2,603 results for “Ecological data”
Figure 7 from: Ossowska E, Guzow-Krzemińska B, Kolanowska M, Szczepańska K, Kukwa M (2019) Morphology and secondary chemistry in species recognition of Parmelia omphalodes group – evidence from molecular data with notes on the ecological niche modelling and genetic variability of photobionts. MycoKeys 61: 39-74. https://doi.org/10.3897/mycokeys.61.38175
Figure 7 Distribution of suitable niches of P. discordans (A), P. omphalodes (B) and P. pinnatifida (C) in the Northern Hemisphere.
Figure 4 from: Ossowska E, Guzow-Krzemińska B, Kolanowska M, Szczepańska K, Kukwa M (2019) Morphology and secondary chemistry in species recognition of Parmelia omphalodes group – evidence from molecular data with notes on the ecological niche modelling and genetic variability of photobionts. MycoKeys 61: 39-74. https://doi.org/10.3897/mycokeys.61.38175
Figure 4 Localities of Parmelia discordans (red), P. omphalodes (blue) and P. pinnatifida (green) used in ENM analysis.
Figure 10 from: Ossowska E, Guzow-Krzemińska B, Kolanowska M, Szczepańska K, Kukwa M (2019) Morphology and secondary chemistry in species recognition of Parmelia omphalodes group – evidence from molecular data with notes on the ecological niche modelling and genetic variability of photobionts. MycoKeys 61: 39-74. https://doi.org/10.3897/mycokeys.61.38175
Figure 10 Principal components analysis (PCA) of P. discordans (red), P. omphalodes (blue) and P. pinnatifida (green), based on the bioclimatic factors from individuals.
Figure 1 from: Ossowska E, Guzow-Krzemińska B, Kolanowska M, Szczepańska K, Kukwa M (2019) Morphology and secondary chemistry in species recognition of Parmelia omphalodes group – evidence from molecular data with notes on the ecological niche modelling and genetic variability of photobionts. MycoKeys 61: 39-74. https://doi.org/10.3897/mycokeys.61.38175
Figure 1 Phylogenetic relationships of Parmelia discordans, P. omphalodes and P. pinnatifida, based on Bayesian analysis of the ITS rDNA dataset. Posterior probabilities and maximum likelihood bootstrap values are shown near the internal branches. Newly generated sequences are described with herbarium numbers following the species names. GenBank Accession numbers of sequences downloaded from GenBank follow the species names. Clades with Parmelia discordans, P. omphalodes and P. pinnatifida are highlighted.
Supplementary material 4 from: Ossowska E, Guzow-Krzemińska B, Kolanowska M, Szczepańska K, Kukwa M (2019) Morphology and secondary chemistry in species recognition of Parmelia omphalodes group – evidence from molecular data with notes on the ecological niche modelling and genetic variability of photobionts. MycoKeys 61: 39-74. https://doi.org/10.3897/mycokeys.61.38175
: Data type: multimedia
Figure 9 from: Ossowska E, Guzow-Krzemińska B, Kolanowska M, Szczepańska K, Kukwa M (2019) Morphology and secondary chemistry in species recognition of Parmelia omphalodes group – evidence from molecular data with notes on the ecological niche modelling and genetic variability of photobionts. MycoKeys 61: 39-74. https://doi.org/10.3897/mycokeys.61.38175
Figure 9 Distribution of suitable niches of P. discordans (A), P. omphalodes (B) and P. pinnatifida (C) in Eurasia.
FIG. 2. — Navicordulia pascali n in The genus Navicordulia Machado & Costa, 1995 (Insecta, Odonata, Corduliidae s.str.): new species, identification key for males and data on ecology and distribution
FIG. 2. — Navicordulia pascali n. sp., holotype: A, wings in ventral view; B, base of left HW in ventral view; C, S2 secondary genitalia in left lateral view; D, vesica spermalis in left lateral view (removed from ethanol and air dried); E, distal segments of the vesica spermalis in left lateral view (removed from ethanol and air dried); F, distal segments of the Vesica spermalis in right lateral view (removed from ethanol and air dried); G, distal part of the first segment and distal segments of the vesica spermalis in ventral view (removed from ethanol and air dried). Scale bars: A, 10 mm; B, D-G, 0.5 mm; C, 1 mm.
FIG. 5. — A in The genus Navicordulia Machado & Costa, 1995 (Insecta, Odonata, Corduliidae s.str.): new species, identification key for males and data on ecology and distribution
FIG. 5. — A, distribution map of Navicordulia Machado & Costa, 1995 species of errans group and tropical today extension of grassland, savannah and shrubland in South America following The Nature Conservancy, terrestrial ecoregions. Map background: Natural Earth II; B, distribution map of Navicordulia species of longistyla and uncertain groups and tropical today extension of grassland, savannah and shrubland in South America following The Nature Conservancy, terrestrial ecoregions. Map background: Natural Earth II.
FIG. 4. — Navicordulia pascali n in The genus Navicordulia Machado & Costa, 1995 (Insecta, Odonata, Corduliidae s.str.): new species, identification key for males and data on ecology and distribution
FIG. 4. — Navicordulia pascali n. sp., paratype: A, top of the head showing the eyes seam; B, vesica spermalis in ventral view (removed from ethanol and air dried): distal part of the first segment and distal segments; arrow indicates the third flagellum; B', detail of same with artificially colored third flagellum; C, vesica spermalis in ventral view with a slight lateral component (in ethanol). Arrow indicates the third flagellum; D, distal part of the vesica spermalis in ventral view (in ethanol). Arrow indicates the third flagellum; E, S9, S10 and anal appendages in right lateral view; F, S7 and S8 pilose complex: ventral view; F' schematic longitudinal cut (lateral view, ventral part above). Scale bars: A, B, E, F, 1 mm.
Data from: Applied use of alternate stable state modeling in restoration ecology
<p>The concept of alternate stable states is important in ecological theory and models, but the application and implementation of these models have the potential to make significant future advances in the field of patterned landscapes. The bi-stable, ridge and slough landscape is a central feature of Everglades restoration and provides an important opportunity to test stable state theory with multistate transition models. We used these models to estimate environmental parameters associated with state changes (water depths, edaphic factors, etc.) to develop a quantitative method to measure resilience and stability. The multistate model indicates that long-term, local hydrology (15-year mean maximums and 15-year mean amplitude) and edaphic factors control the local scale shifts between ridge and slough states. We show that multistate models can provide hydrologic envelopes for managers, produce a tool to help assess future water management scenarios, and address issues of sustainability, resilience, and restoration for any bi-stable system.</p>
Raw data for comparison of bioinformatics pipelines for Diatom DNA metabarcoding for ecological assessment
<p>This archive contains the raw .fatsq files for 29 samples from water bodies (lakes and rivers) located in Nordic countries (Sweden, Finland, Norway) sequenced on Illumina MiSeq, with the 18S-V4 marker and with the <em>rbc</em>L marker. For both marker two separate datasets are provided, containing the F and R fragments ( R1 and R2). The samples tags and primer sequences are also provided.</p> <p>The archive also contains the custom curated reference database used for the taxonomic identification using bioinformatics pipeline. For both marker, two files are provided: an .rarl file with the sequences and sequence ID and a .tax file with the taxonomic information associated. </p>
Data from: Structure from motion photogrammetry: does the choice of software matter for Ecology?
Structure-from-Motion (SfM) and Multiview-Stereo (MVS) is emerging as a flexible, self-service, remote sensing tool for generating fine-grained digital surface models (DSMs) in the Earth sciences and ecology. However, drone-based SfM+MVS applications have developed at a rapid pace over the past decade and there are now many software options available for data processing. Consequently, understanding of reproducibility issues caused by variations in software choice and their influence on data quality is relatively poorly understood. This understanding is crucial for the development of SfM+MVS if it is to fulfil a role as a new quantitative remote sensing tool to inform management frameworks and species conservation schemes. To address this knowledge gap, a lightweight multirotor drone carrying a Ricoh GR II consumer-grade camera was used to capture replicate, centimetre-resolution image datasets of a temperate, intensively managed grassland ecosystem. These data allowed the exploration of method reproducibility and the impact of SfM+MVS software choice on derived vegetation canopy height measurement accuracy. The quality of DSM height measurements derived from four different, yet widely used SfM-MVS software – Photoscan, Pix4D, 3DFlow Zephyr and MICMAC, were compared with in-situ sward height data captured on the same day as image capture. Using the same replicate image dataset (n=3) as input we demonstrate that there are 1.7, 2.0 and 2.5 cm differences in RMSE (excluding one outlier) between the outputs from different SfM+MVS software using "High", "Medium" and "Low" quality settings, respectively. Furthermore, we show that there can be a significant difference, although of small overall magnitude between replicate image datasets (n=3) processed using the same SfM+MVS software, following the same workflow, with a variance in RMSE of up to 1.3, 1.5 and 2.7 cm (excluding one outlier) for "High", "Medium" and "Low" quality settings, respectively. We conclude that SfM+MVS software choice does matter.
Data from: Ecological pest control fortifies agricultural growth in Asia-Pacific economies
<p>The Green Revolution is credited with alleviating famine, mitigating poverty and driving aggregate economic growth since the 1960s. In Asia, high-input technology packages secured a tripling of rice output, with germplasm improvements providing benefits beyond US$ 4.3 billion/year. Here, we unveil the magnitude and macro-economic relevance of parallel nature-based contributions to productivity growth in non-rice crops over 1918-2018 (covering 23 different Asia-Pacific geopolitical entities). We empirically demonstrate how biological control resolved invasive pest threats in multiple agricultural commodities, ensuring annually-accruing (on-farm) benefits of US$ 14.6-19.5 billion/year. Scientifically-guided biological control of 43 exotic invertebrate pests permitted 73-100% yield-loss recovery in critical food, feed and fiber crops including banana, breadfruit, cassava and coconut. Biological control thereby promoted rural growth and prosperity even in marginal, poorly-endowed, non-rice environments. By placing agro-ecological innovations on equal footing with input-intensive measures, our work provides lessons for future efforts to mitigate invasive species, restore ecological resilience and sustainably raise output of global agri-food systems.</p>
Data from: Multifaceted functional diversity for multifaceted crop yield: towards ecological assembly rules for varietal mixtures
<p>Data and code for the study "Multifaceted functional diversity for multifaceted crop yield: towards ecological assembly rules for varietal mixtures"</p> <p>Two data files are available:</p> <ul> <li>"CWM_D.csv" contains one row per experimental plot with community-weighted mean (CWM) and Rao quadratic diversity (D) indices computed on the 19 functional traits.</li> </ul> <p>The first two columns ("genotype_1" & "genotype_2") are the identity of the two genotypes in the plot, which are identical in single-variety plots. The third column ("assoc") refers to the plot type: single-variety ("M") or mixed-variety ("P") plot. Then, all trait CWMs and Ds are reported as "CWM_trait_name" and "D_trait_name" , respectively. For single-variety plots, only CWMs are reported but in this case they correspond to unweighted-averaged trait values across replicated measurements within plots. Root trait names are followed by "sem" or "adv" depending if they were measured on seminal or adventitious roots. Reported traits are: "Angle_aer" (Aerial angle, °), "Angle_root" (Root angle, °), "Diam_sem/adv" (mean root diameter, mm), "SRL_sem/adv" (specific root length, m/g), "RTD_sem/adv" (root tissue density, g/cm3), "RBI_sem/adv" (root branching intensity, nb of root tips/cm), "RLD_sem/adv" (root length density, cm root/cm3 soil), "Till_nb" (tiller number per capita), "Ear_bio" (early biomass per capita, g), "SLA" (specific leaf area, m²/kg), "LNC" (leaf nitrogen content, %), "Height" (plant height, cm), "Heading" (heading date, Growing Degree Days), and "Maturity" (maturity date, Growing Degree Days).</p> <ul> <li>"RAW_RYT.csv" contains one row per experimental plot with absolute and relative measures of performance on several agronomic variables.</li> </ul> <p>The first two columns ("genotype_1" & "genotype_2") are the identity of the two genotypes in the plot, which are identical in single-variety plots. The third column ("assoc") refers to the plot type: single-variety ("M") or mixed-variety ("P") plot. Then, all absolute and relative measures of agronomic performance are reported as "RAW_performance_variable_name" and "RYT_performance_variable_name", respectively. For single-variety plots, only absolute performances are reported. Reported performance variable are "GY" (Grain yield, g/m²), "GNb" (Grain number per m²), "SY" (Spike yield, g/m²), "SNb" (Spike number per m²), "BY" (Biomass yield, g/m²), "PY" (Protein yield, g/m²), "TKW" (Thousand kernel weight, g), "SeY" (Semolina yield, %), "GPC" (Grain protein content, %), "TW" (Test weight, kg/hL), "RLVA" (Rate of loss of vitreous aspect, %), "YI" (Yellowness index), "GPD" (Grain protein deviation, %).</p> <p>One R code file is available:</p> <ul> <li>"Mu_FD_Mu_CY_Analysis.R" contains all statistical analysis performed to produce the results presented in the main text and in the Supplementary Information of the study. It uses "CWM_D.csv" and "RAW_RYT.csv" files as inputs.</li> </ul>
Data-driven identification of reliable sensor species to predict regime shifts in ecological networks
<p>Signals of critical slowing down are useful for predicting impending transitions in ecosystems. However, in a system with complex interacting components not all components provide the same quality of information to detect system-wide transitions. Identifying the best indicator species in complex ecosystems is a challenging task when a model of the system is not available. In this paper, we propose a data-driven approach to rank the elements of a spatially-distributed ecosystem based on their reliability in providing early-warning signals of critical transitions. The proposed method is rooted in experimental modal analysis techniques traditionally used to identify structural dynamical systems. We show that one could use natural system fluctuations and the system responses to small perturbations to reveal the slowest direction of the system dynamics and identify indicator regions that are best suited for detecting abrupt transitions in a network of interacting components. The approach is applied to several ecosystems to demonstrate how it successfully ranks regions based on their reliability to provide early-warning signals of regime shifts. The significance of identifying the indicator species and the challenges associated with ranking nodes in networks of interacting components are also discussed.</p>
The effects of salinity on the ecology of a coastal temporary pond (Data)
<p>Temporary waters are relatively understudied environments, particularly within the Caribbean. Regionally understudied as well are the insect fauna associated with coastal environments. The present study sought to identify factors affecting the salinity of a coastal temporary pond and the subsequent ecological interactions. When water was present, the aquatic physical and chemical properties were recorded, and macroinvertebrate fauna were collected. Soil and water were collected for analyses and associations between the aquatic environment and fauna detailed. Fauna collected overall represented 6 orders, 11 families, 14 genera and 18 species throughout 4 salinity phases, ranging from freshwater to hypersaline. The hypersaline phase was distinct from other phases, notably in salinity (maximum 78 parts per thousand) and water temperature (maximum 41°C). In general, species richness and number of functional feeding groups were lower at higher salinities. The brackish phase however, had greater species richness and more functional feeding groups than the freshwater phase. This was explained in part by the elimination of notonectid predators in the brackish phase, which facilitated the establishment of several culicid species within the pond. The salt-tolerant corixid <i>Trichocorixa reticulata</i> was found dominating the pond in the saline phase and was the only species alive in the hypersaline phase. This salinity of the pond was determined by both tides and rainfall, changing aquatic conditions accordingly. As salinity increased, beyond the brackish phase macroinvertebrate species richness decreased. A change in species richness saw a change in community composition and functional feeding diversity within a coastal temporary pond dominated by insects.</p>
Data from: Ecology shapes epistasis in a genotype-phenotype-fitness map for stick insect colour
<p>Genetic interactions such as epistasis are widespread in nature and can shape evolutionary dynamics. Epistasis occurs due to non-linearity in biological systems, which can arise via cellular processes that convert genotype to phenotype and via selective processes that connect phenotype to fitness. Few studies in nature have connected genotype to phenotype to fitness for multiple potentially interacting genetic variants. Thus, the causes of epistasis in the wild remain poorly understood. Here, we show that epistasis for fitness is an emergent and predictable property of non-linear selective processes. We do so by measuring the genetic basis of cryptic colouration and survival in a field experiment with stick insects. We find that colouration exhibits a largely additive genetic basis, but with some effects of epistasis that enhance differentiation between colour morphs. In terms of fitness, different combinations of loci affecting colouration confer high survival in one host-plant treatment. Specifically, non-linear correlational selection for specific combinations of colour traits in this treatment drives the emergence of pairwise and higher-order epistasis for fitness at loci underlying colour. In turn, this results in a rugged fitness landscape for genotypes. In contrast, fitness epistasis was dampened in another treatment, where selection was weaker. Patterns of epistasis that are shaped by ecologically based selection could be common, and central to understanding fitness landscapes, the dynamics of evolution, and potentially other complex systems.</p>
Figure 9 from: Spiridonov VA, Simakova UV, Anosov SE, Zalota AK, Timofeev VA (2020) Review of Macropodia in the Black Sea supported by molecular barcoding data; with the redescription of the type material, observations on ecology and epibiosis of Macropodia czernjawskii (Brandt, 1880) and notes on other Atlanto-Mediterranean species of Macropodia Leach, 1814 (Crustacea, Decapoda, Inachidae). Zoosystematics and Evolution 96(2): 609-635. https://doi.org/10.3897/zse.96.48342
Figure 9 Morphometric relationships and fecundity characteristics of Macropodia czernjawskii. a. Relationships between carapace width (CW) and the geometric mean of chela length, height and thickness (ChGM). b. Relationships between CW and decimal logarithm of the number of developing eggs (I or II stage of development) on pleopods (F). For statistical data see Table 2.
Figure 7 from: Spiridonov VA, Simakova UV, Anosov SE, Zalota AK, Timofeev VA (2020) Review of Macropodia in the Black Sea supported by molecular barcoding data; with the redescription of the type material, observations on ecology and epibiosis of Macropodia czernjawskii (Brandt, 1880) and notes on other Atlanto-Mediterranean species of Macropodia Leach, 1814 (Crustacea, Decapoda, Inachidae). Zoosystematics and Evolution 96(2): 609-635. https://doi.org/10.3897/zse.96.48342
Figure 7 Macropodia czernjawskii. a. Right chela, male, CW 11.0 (ZMMU Ma 3547); b. Right chela, male. CW 6.0 mm (ZMMU Ma 3544) c. Malformed right chela, male, CW 8.0 mm (ZMMU Ma 3543); d, e. Same specimen as c. dactylus and propodus of P 5. Scale bars: 1 mm (a–c, e), 0.5 mm (d).
Figure 6 from: Spiridonov VA, Simakova UV, Anosov SE, Zalota AK, Timofeev VA (2020) Review of Macropodia in the Black Sea supported by molecular barcoding data; with the redescription of the type material, observations on ecology and epibiosis of Macropodia czernjawskii (Brandt, 1880) and notes on other Atlanto-Mediterranean species of Macropodia Leach, 1814 (Crustacea, Decapoda, Inachidae). Zoosystematics and Evolution 96(2): 609-635. https://doi.org/10.3897/zse.96.48342
Figure 6 Macropodia czernjawskii. a. Anterior part of the body with basal antennal segment (ZMMU Ma 3543); b. Anterior part of the body with basal antennal segments, male (ZMMU Ma 3547). c. Male pleon (ZMMU Ma 3547); d. Female sterno-pleonal cavity with exposed genital segment (ZMMU Ma 3538). Scale bar: 1 mm.
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.