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opencc-by-4.0Apr 2019View details →

Fig. 4 in LED grow lights alter sorghum growth and sugarcane aphid (Hemiptera: Aphididae) plant interactions in a controlled environment

Fig. 4. Plant height (cm) for 2 different sorghum entries grown under conventional and LED light sources.

opencc-by-4.0Apr 2019View details →

Fig. 1 in LED grow lights alter sorghum growth and sugarcane aphid (Hemiptera: Aphididae) plant interactions in a controlled environment

Fig. 1. Light emission spectrum of the W2238 LED grow panel over the visible spectrum and into the near infrared. The inset spectrum is zoomed vertically to show details of any weaker emissions.

opencc-by-4.0Dec 2006View details →

Fig. 2. Fossil locality and depositional environment. A in The Early Cambrian origin of thylacocephalan arthropods

Fig. 2. Fossil locality and depositional environment. A. Simplified paleogeographic map of the Yangtze Platform during the Sinian–Cambrian boundary showing main facies distribution (asterisk for fossil locality). B. Alternating siltstones−mudstones layers at Shankoucun (Maotianshan Shale, Lower Cambrian). Map after Zhu et al. (2003; simplified). bg, background mudstone; se, single−event mudstone (see explanation in text).

FIGURE 5 in Ancient diversification in extreme environments: exploring the historical biogeography of the Antarctic winged midge Parochlus steinenii (Diptera: Chironomidae)

FIGURE 5 Historical demographic trajectories of Parochlus steinenii within its distribution in the Magellanic Subantarctic Ecoregion (red), South Georgia (yellow) and South Shetland Islands (violet). Left panels: Past demographic changes constructed using Bayesian Skyline Plot approach based on cox1 haplotypes. The y-axis is the product of the effective population sizes (Ne) and generation length in a log scale. The x-axis is the time before present (Myr). The median estimate (solid black line) and 95% highest probability density (HPD) limits (colored area) are shown. The thick dashed line represents the time of the most recent common ancestor (TMRCA). Right panels: Distribution of pairwise differences of cox1 for each demographic unit. Values of Tau are shown.

FIGURE 3 in Ancient diversification in extreme environments: exploring the historical biogeography of the Antarctic winged midge Parochlus steinenii (Diptera: Chironomidae)

FIGURE 3 Haplotype network for Parochlus steinenii based on 151 mtDNA cox1 sequences spanning the species' distribution. Neighbor-joining network illustrating the distribution of haplotypes across lakes in the Magellanic Subantarctic Ecoregion, South Georgia and the South Shetland Islands. Circles sizes are proportional to haplotype frequency.

FIGURE 4 in Ancient diversification in extreme environments: exploring the historical biogeography of the Antarctic winged midge Parochlus steinenii (Diptera: Chironomidae)

FIGURE 4 Spatial genetic structure of Parochlus steinenii from the spatial model in Geneland across the three biogeographic regions sampled. Higher posterior probabilities of population membership are indicated in yellow for each sampling site (A) MSE, (B) SG, (C) MA. Black circles indicate the relative position of the sampling localities. Posterior probabilities of membership were plotted with the shapefiles of Scotia Arc coastline available in the repository in the Antarctic digital database from the British Antarctic survey (BAS). https://add.data.bas.ac.uk.

FIGURE 6 in Ancient diversification in extreme environments: exploring the historical biogeography of the Antarctic winged midge Parochlus steinenii (Diptera: Chironomidae)

FIGURE 6 Phylogenetic reconstruction based on haplotypes cox1 data showing divergence times of Parochlus steinenii across its distribution in sub- and maritime Antarctica. Nodes ages are the median values from both Bayesian Molecular Clock analyses and TMRCA of each clade estimated with Bayesian Skyline Plot. In each clade of interest (MSE, SG and MA), nodes bar indicated the 95% HPD. The colored tip represents the colors of the sampling region.

FIGURE 2 in Ancient diversification in extreme environments: exploring the historical biogeography of the Antarctic winged midge Parochlus steinenii (Diptera: Chironomidae)

FIGURE 2 Phylogenetic reconstruction of Podonominae based on concatenated data. Maximum Likelihood reconstruction, including members of the subfamily Podonominae with emphasis on Parochlus spp. Information in brackets represent the sequence code used for the analysis (within P. steinenii), and sampling site for each sequence. Values for the nodes support are indicated for posterior probability/bootstrap, respectively.

FIGURE 1 in Ancient diversification in extreme environments: exploring the historical biogeography of the Antarctic winged midge Parochlus steinenii (Diptera: Chironomidae)

FIGURE 1 Historical biogeography reconstruction based on 151 cox1 sequences of Parochlus steinenii across the sampling areas. (A) Map of the sampling region in the Magellanic Subantarctic regions (MSE, red); sub-Antarctic Island of South Georgia (SG, orange), and Maritime Antarctic (MA, violet); (B) Bayesian Inference reconstruction using P. steinenii individuals. The values for node support are indicated for posterior probability/bootstrap from BI and ML analyses, respectively.

Datasets for time-lapse camera monitoring of insects and their floral environments

Contains the dataset for training and validation of models to estimate flower cover and identify taxa of arthropods in time-lapse camera recordings described in the paper: Kim Bjerge, Henrik Karstoft, Hjalte M. R. Mann, Toke T. Høye, A deep learning pipeline for time-lapse camera monitoring of insects and their floral environments, 2024, bioRxiv, <a href="https://doi.org/10.1101/2024.04.12.589205" rel="noopener">https://doi.org/10.1101/2024.04.12.589205</a> The zip files contain the needed files and directory structure to train the models in Python code published at: <a href="https://github.com/kimbjerge/insectsFlowers">https://github.com/kimbjerge/insectsFlowers</a> Content of zip files: =============== insects.zip: Contains images and labels in YOLO format: <a href="https://github.com/ultralytics/yolov5/issues/2293">https://github.com/ultralytics/yolov5/issues/2293</a> trainI21m contains the images and labels to train the insect detector with YOLOv5. Contains only the motion-informed enhanced images (MIE). testI21m contains the images and labels to test the insect detector trained with YOLOv5. Contains only the motion-informed enhanced images (MIE). ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Flowers.zip: contains the images of plants and flowers with black and white masks to train the DeepLabv3 flower semantic segmentation model. ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- NI2-19cls.zip: contains images for training and validation of the arthropod classifiers  Image crops of arthropods are organized in 19 subdirectories one for each class. A1-Coccinellidae B2-Coleoptera C3-Background D4-Bombus E5-Syrphidae F6-Lepidoptera G7-Aranaeae H8-Formidicidae I9-Diptera J10-Hemiptera K11-Isopoda L12-Uspecificerede N13-Hymenoptera O14-Orthoptera P15-Rhagonycha_fulva Q16-Satyrinae R17-Aglais_urticea S18-Odonata T19-Apis_mellifera

Files for the numerical results shown in "Far-from-equilibrium travelling pulses in sloped semi-arid environments driven by autotoxicity effects" by Gabriele Grifò, Annalisa Iuorio, and Frits Veerman

This folder contains the code used to produce Fig. 1 and Fig. 8-10 in the paper: "Far-from-equilibrium travelling pulses in sloped semi-arid environments driven by autotoxicity effects" by Gabriele Grifò, Annalisa Iuorio, and Frits Veerman. The preprint version of this paper is available at <a href="https://arxiv.org/abs/2405.1560">https://arxiv.org/abs/2405.1560</a>. In the subfolder "Direct_simulations", the code (to obtain Fig. 1) is based on a MATLAB routine which uses finite differences for spatial discretization with periodic boundary conditions together with MATLAB’s ode15s routine for time integration. The continuation procedure (to obtain Fig. 8-10) is shown in the subfolder "Continuation" based on the software AUTO to analyse the dependence of the constructed travelling pulse solutions of Eq. (3.2) with respect to three system parameters, i.e. A, D, and H. Correspondingly, in each folder 'Continuation_X' where X=A, D, H, the results can be obtained by running the file 'AUTO_script_cont_X', based on the two files 'parab_X.f90' and 'c.parab_X'. Selected solutions for each continuation are stored in the corresponding subfolders 'solutions_X', whereas the tables resulting from the continuation procedure in the scripts are shown in the files 'bifdiag_X.dat'. In each script file further details are provided in order to clarify how to extract the solutions used for the plots.

Circular Economy, Digitalization and Environment

The data was used to analyze the state of circular economy, digitalization and environment for Malaysia and Poland. Data was collected and processed as part of the ODDEA (Overcoming Digital Divide Between Europe and Southeast Asia) EU research project (Project ID: HORIZON MSCA-SE 101086381)

Resources for "BMF CP 90: The duration of daily and stay visits as moderators between coastal environment enjoyment and connection and health outcomes"

The current study is conducted to examine the following research questions: <ul> <li>Is the relationship between the enjoyment of and connection to the coastal environment and the visitors’ mental health and perceived general health conditional on the duration of daily visits to the coast in the previous year?</li> <li>Is the relationship between the enjoyment of and connection to the coastal environment and the visitors’ mental health and perceived general health conditional on the duration of stay visits to the coast in the previous year?</li> </ul>

Resources for "BMF CP 89: The relationships between coastal environment enjoyment and connection and health outcomes"

The current study is conducted to examine the following research questions: <ul> <li>How are the enjoyment of and connection to the coastal environment associated with the perceived health outcomes during the previous year’s coastal visits?</li> <li>How are the perceived health outcomes during the previous year’s coastal visits associated with visitors’ mental health and perceived general health?</li> <li>Do the perceived health outcomes during the previous year’s coastal visits mediate the relationships between the enjoyment of and connection to the coastal environment and the visitors’ mental health and perceived general health?</li> </ul>

(Magnetic dataset) High-Resolution Magnetic Investigation of a Hydrothermal System in a Volcanic-Evaporitic Environment

This is the ground magnetic dataset collected in hydrothermal vent field sites (called Yellow Lake Fissure and the surrounding area near Dallol Dome) in the Danakil Depression, Ethiopia. The dataset consists of 12 profiles and 2 grided data. and useful geological locations. The dataset is in Excel spreadsheet format and consists of 15 sheets (12 profiles, 2 grid data and other useful points). The format of each profile and grid consists of 8 columns and is formatted as below Latitude(dd°mm.mmmm'), Longitude(ddd°mm.mmmm'), Altitude(meter), Date(yyyy-mm-dd), UTC_time(hhmmss), MagneticField(nT), MagneticAnomaly(nT), Signal_Quality

Data from: A snow-dwelling tropical butterfly? An unprecedented discovery of a new genus of the Pedaliodes clade in an extreme, high-altitude Andean environment (Lepidoptera: Nymphalidae, Satyrinae)

A new genus of satyrine butterflies, Nivaliodes gen. nov., is described for three species, all new – N. negrobueno sp. nov.,N. virococha sp. nov. and N. puriq sp. nov. (Lepidoptera, Nymphalidae) – with a support of molecular data and adult morphology. Target enrichment-based phylogeny indicates Nivaliodes gen. nov. is sister to the genus Pherepedaliodeswithin an extremely diverse Pedaliodes clade of the predominantly Andean subtribe Pronophilina. Whereas an overwhelming majority of species of this group occur in tropical montane forests, N. negrobueno sp. nov. was discovered in a central Peruvian desert puna at some 4600-4800 m asl., the highest elevation reported for any species of the Pronophilina. Individuals were observed overflying rocky slopes and resting directly on snow-covered surfaces, which is an exceptionally unusual behaviour among butterflies. The other two species of the new genus were found at lower elevations, some 3300-4200 m asl. at the timberline and in puna grassland.

Assessment of Simulations in Faust and Tascar for the Development of Audio Algorithms in Acoustic Environments - Code and Data

Developing and testing audio algorithms with hard real-time constraints can be a complex task, requiring certain programming skills and/or specialized equipment. However, many things can be tested in simulations on an ordinary computer, using <a href="https://tascar.org/" target="_blank" rel="noopener">TASCAR</a> for acoustic scene creation and <a href="https://faust.grame.fr/" target="_blank" rel="noopener">FAUST</a> for signal processing. Their capability are evaluated and compared to measurements using an FxLMS algorithm for active noise control as example. This repository contains code and measured data of the publication “Assessment of simulations in FAUST and TASCAR for the development of audio algorithms in acoustic environments”, presented at the International Faust Conference 2024 in Turin, Italy.

Data set for "Understanding Older Adults' Needs: Psychosocial Wellbeing in Context of Perceived and Objective Built Environment"

This entry contains datasets for the article "Understanding Older Adults' Needs: Psychosocial Wellbeing in Context of Perceived and Objective Built Environment".

opencc-by-nc-nd-4.0Sep 2024View details →

Micro-urban environment experimental dataset to validate performance of different Computational Fluid Dynamics methodologies.

This dataset enclosed wind 3D geolocated wind flow and air concentrations 5-minutal data collected in El Prat del Llobregat (Spain) between January and August 2022 in the context of the experiment 1012-ibam of the FF4EuroHPC European project. The intention of this dataset is to provide a resource to do performance benchmark of micro-urban chemical – dispersion models to assess their performance. To do so, we enclose experimental data collected by Bettair Mk2 Series Air quality monitors, 2 Air Quality Monitoring stations equipped with reference instruments from “La Xarxa de Vigilància i Previsió de la Contaminació Atmosfèrica (XVPCA)”, and different data from the repository of the ECMWF Era-5 land and CAMS. We also provide the 3D watertight geometry model of the el Prat de Llobregat (Spain) in step file format (layout from 2020).