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FIGURE 4 in Age validation and contrasted growth performances of Pseudoplatystoma punctifer (Siluriformes: Pimelodidae) in two river systems of the Western Amazon
FIGURE 4 | Mean and standard deviation (SD) of each growth ring radius in vertebrae of Pseudoplatystoma punctifer from the A. AMU system and B. Putumayo River.
FIGURE 5 in Age validation and contrasted growth performances of Pseudoplatystoma punctifer (Siluriformes: Pimelodidae) in two river systems of the Western Amazon
FIGURE 5 | Mean monthly relative marginal increment (RMI ± SD) of Pseudoplatystoma punctifer vertebrae in relation to the hydrological cycle in the A. AMU system and B. Putumayo River. The illustrated hydrological cycles represent the average monthly values from the period 2008–2010.
FIGURE 7 in Age validation and contrasted growth performances of Pseudoplatystoma punctifer (Siluriformes: Pimelodidae) in two river systems of the Western Amazon
FIGURE 7 | Standard length at first sexual maturity (L50) of Pseudoplatystoma punctifer in the A–B. AMU system and C–D. Putumayo River.
FIGURE 2 in Age validation and contrasted growth performances of Pseudoplatystoma punctifer (Siluriformes: Pimelodidae) in two river systems of the Western Amazon
FIGURE 2 | Standard length frequency distributions of Pseudoplatystoma punctifer females (left) and males (right) in the A–B. AMU system and C–D. Putumayo River.
FIGURE 3 in Age validation and contrasted growth performances of Pseudoplatystoma punctifer (Siluriformes: Pimelodidae) in two river systems of the Western Amazon
FIGURE 3 | Pseudoplatystoma punctifer vertebrae showing A–B. Five growth rings: the first one is multiple, the second one double and the third, fourth and fifth are simple, C–D. Two growth rings and E–F. One growth ring. Vertebrae center (ctr), hyaline rings (red lines), intermediate mark (i), pre mark (p). Left images: vertebrae frontal view. Right images: vertebrae cross section view with the confirmation of the rings on the corpus calcareum.
FIGURE 1 in Age validation and contrasted growth performances of Pseudoplatystoma punctifer (Siluriformes: Pimelodidae) in two river systems of the Western Amazon
FIGURE 1 | Map of sampling sites of Pseudoplatystoma punctifer in the Peruvian Amazon River systems. Sampling sites are symbolized by red dots.
Data from: Strategies of resource sharing in clonal plants: A conceptual model and an example of contrasting strategies in two closely related species
<p>These experimental data were collected to quantify amount of C and N translocated between mother and daughter ramets of two stoloniferous species. Data includes concentrations of 13-C and 15-N in plants samples originating from pulse-chase labelling, absolute amounts of the labels present, as well as dry mass of the samples. Details are described in the relevant paper.</p> <p> </p>
Figure 2 in Expression analysis of phosphate induced genes in contrasting maize genotypes for phosphorus use efficiency
Figure 2. Phylogenetic analysis based on nucleotide sequences of plant phosphate transporters. Plant phosphate transporters were assembled using ClustalX, and NJ-plot was used to develop the tree. Abbreviations are shown for respective transporters: ZmPTs: Zea mays phosphate transporters;AtPT: Arabidopsis thaliana phosphate transporters;LePT: Lycopersicon esculentum phosphate transporters; OsPT: Oryza sativa phosphate transporters; HvPT: Hordeum vulgare phosphate transporters; SbPT: Sorghum bicolor phosphate transporters.
Figure 1. A – P in Expression analysis of phosphate induced genes in contrasting maize genotypes for phosphorus use efficiency
Figure 1. A – P-efficient and P-inefficient maize plants grown in the Cerrado under low Pi conditions.B – Dry weight of maize genotypes. C – Root/shoot ratio of maize plants. D and E – Phosphorus content. F – Anthocyanin concentration. G and H – Units of APA activity. B to H, The maize plants were grown in hydroponics culture in the presence (250 µM Pi - gray bar) or absence (0 µM Pi – black bar) of phosphate harvested after 15 days in treatment. Each bar is the mean of three replicates with a standard deviation.
Figure 3. A in Expression analysis of phosphate induced genes in contrasting maize genotypes for phosphorus use efficiency
Figure 3. A – Northern blot analysis of phosphate starvation-induced ZmPTs genes in maize genotypes. B – Expression of ZmPTs in a plant grown in different phosphorus concentrations. C – Suppression of the ZmPTs expression by Pi resupply. D – Expression of ZmPT genes using RNA isolated from different root parts. E – Expression of ZmPTs in different maize plants under Pi starvation. F – Effect of duration of phosphate starvation on ZmPTs genes expression in maize genotypes. G – Expression of ZmPT homologs in roots of two sorghum genotypes. Total RNA isolated from different times of hydroponically grown plants supplied with half-strength modified Hoagland's solution containing 250 µM phosphate (+) or no phosphate (-) for different days or different concentrations as indicated. All the blots were probed with 32P labeled ZmPTs. The panel below the Northern blots is the ethidium bromide-stained gel prior to blotting showing the RNA integrity and uniformity of loading.
Data for "Site-Specific Management Zones Delineation Based on Apparent Soil Electrical Conductivity in Two Contrasting Fields of Southern Brazil"
<p>This dataset contains soybean yield, soil property values, and apparent electrical conductivity (ECa) from two farms located in the South of Brazil. The data description and methods can be found in the paper:</p> <p><strong>Bottega, E. L., Safanelli, J. L., Zeraatpisheh, M., Amado, T. J. C., Queiroz, D. M. de, & Oliveira, Z. B. de. (2022). Site-Specific Management Zones Delineation Based on Apparent Soil Electrical Conductivity in Two Contrasting Fields of Southern Brazil. In Agronomy (Vol. 12, Issue 6, p. 1390). MDPI AG. https://doi.org/10.3390/agronomy12061390</strong></p> <p>Abstract:</p> <p>Management practices that aim to increase the profitability of agricultural production with minimal environmental impact must consider within-field soil variability, and this site-specific management can be addressed by precision agriculture (PA). Thus, this work aimed to investigate which key soil attributes are distinguishable management zones (MZ) delineated based on the soil apparent electrical conductivity (ECa), using fuzzy k-means, in two fields with contrasting soil textures in southern Brazil. For this, a grid scheme (50 × 50 m) was applied to measure ECa, conduct soil sampling for analysis, and determine soybean yield. The MZ were delineated based on the ECa spatial distribution, and statistical non-parametric tests (p < 0.05) were employed to compare the soil chemical and physical attributes among MZ. The management zones were able to distinguish the average values of Clay, Silt, pH, Ca<sup>2+</sup>, Mg<sup>2+</sup>, SB, Al<sup>3+</sup>, H<sup>+</sup> + Al<sup>3+</sup>, AS%, and BS%. In the field classified as sandy clay loam texture, management zones were able to differentiate the average values of soybean yield, Clay, Ca<sup>2+</sup>, Mg<sup>2+</sup>, SB, and CEC. Thus, this study supports the ECa as an efficient tool for delineating MZ of contrasting cropland soils in southern Brazil to understand the within-field soil variability and adjust the inputs accordingly.</p>
Data and analysis code for Repo et al., "Contrasting forest management strategies: impacts on biodiversity and ecosystem services under changing climate and disturbance regimes"
<p>This repository contains analysis code and pre-processed data for the study "Contrasting forest management strategies: impacts on biodiversity and ecosystem services under changing climate and disturbance regimes" by Repo et al.<br>Data processing and analysis mainly done by Aapo Jantunen, Katharina Albrich<br>Due to respository space limitations, the original model outputs are archived in the Finnish "Allas" data storage service. For access, contact katharina.albrich@luke.fi<br>The code used to process the raw data is included here for reproducibility.</p> <p>If you are interested in using iLand, visit https://iland-model.org/ and https://iland-model.org/iland-book/ for information on using the model and a guide to setting up a landscape.</p> <p><span>This work was supported by the Ministry of Agriculture and Forestry by funding project Future multifunctional forests and their disturbance risk in the changing climate (Foster) through the “Catch the Carbon” initiative (<span>project number VN/28654/2020)</span>. A.R. has been supported by the grant [TRACY Trade-offs and synergies in land-based climate change mitigation and biodiversity conservation decision 322066 by the Academy of Finland.], J. H by the grant [CASCADE - Changing Disturbance Regimes and Forest Landscapes of Fennoscandia 342569 by the Academy of Finland]. </span></p> <p> </p>
Figure 1 in Life history dynamics and biogeography of a nudibranch with contrasting developmental modes: A hypothesis for the evolution of larval types
Figure 1. Map of the lower Gulf of Maine with the distribution of Dendronotus frondosus and Dendronotus sp. from subtidal and intertidal habitats near the coasts of Maine (ME) and New Hampshire (NH), USA and New Brunswick (NB) and Nova Scotia (NS), Canada. See Table I to reference site numbers and Cartesian coordinates. Sites for seasonal monitoring of hydroid and nudibranch abundance include York (2), West Quoddy Head (12) and Eastport (13), Maine.
Figure 5 in Life history dynamics and biogeography of a nudibranch with contrasting developmental modes: A hypothesis for the evolution of larval types
Figure 5. Summary of the larval dispersal potential of Dendronotus frondosus and Dendronotus sp. in laboratory cultures at 10°C (Sisson 2002b, 2004). The ''egg-to-juvenile'' period lasts from spawn deposition through larval settlement and metamorphosis.
Figure 3 in Life history dynamics and biogeography of a nudibranch with contrasting developmental modes: A hypothesis for the evolution of larval types
Figure 3. Abundance of spawn masses deposited by Dendronotus spp. at: (a) York, Maine, (b) Eastport, Maine and (c) the intertidal site at West Quoddy Head, Lubec, Maine.
Figure 4 in Life history dynamics and biogeography of a nudibranch with contrasting developmental modes: A hypothesis for the evolution of larval types
Figure 4. Weekly mean (¡SD), minimum and maximum water temperature (in °C) at the subtidal sampling sites in York and Eastport, Maine.
Figure 4 in Deforestation affects biogeographical regionalization: a case study contrasting potential and extant distributions of Mexican terrestrial mammals
Figure 4. Map of Mexican provinces based on models of species' distributions in t1: baj, Baja California Chiapas; ist, Isthmus of Tehuantepec; mgu, Mexican Gulf; mpa, Mexican Pacific Coast; mpl, Mexican Sierra Madre Occidental; sms, Sierra Madre del Sur; son, Sonora; tam, Tamaulipas; vol, Transmexican
Figure 2 in Deforestation affects biogeographical regionalization: a case study contrasting potential and extant distributions of Mexican terrestrial mammals
Figure 2. Simplified consensus cladograms of (a) t1 (natural vegetation), and (b) t2 (land use and vegetation map based on the 2000 Inventario Forestal Nacional (SEMARNAT 2001).
Figure 1 in Deforestation affects biogeographical regionalization: a case study contrasting potential and extant distributions of Mexican terrestrial mammals
Figure 1. Ecological niche modelling projected as potential (based on the natural vegetation, t1) and extant (based on land use and natural vegetation, t2) distribution of two terrestrial mammals. Black areas depict part of distributions of (a) Chaetodipus spinatus in the Baja California Peninsula, and (b) Cabassous centralis in Chiapas.
Fig. 1. A in Shoaling behaviour in the pygmy halfbeak Dermogenys collettei (Beloniformes: Zenarchopteridae): comparing populations from contrasting predation regimes
Fig. 1. A, Experimental set-up to determine shoaling tendencies. During the first part of the experiment, no digital screen was present; B, during the second part, a predator was displayed on the screen.
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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.
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.