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9,786 results for “selection”
Accounting for behaviour in fine-scale habitat selection: a case study highlighting methodological intricacies
<p>Data for the article “Accounting for behaviour in fine-scale habitat selection: a case study highlighting methodological intricacies”</p> <p>By LT Beumer, NMS Schmidt, J Pohle, J Signer, M Chimienti, JP Desforges, LH Hansen, SH Pedersen, DA Rudd, M Stelvig, FM van Beest</p> <p>The data set includes five files: A readme file describing the data files, and four data files accompanying the above publication.</p> <p>For further queries please contact Larissa T. Beumer: ltbeumer@gmail.com</p> <p> </p>
Data for 'Population density affects sexual selection in an insect model'
<p>Data set (.csv file), analysis code (.R file) and readme (.txt file giving details for dataset and code) accompanying the publication 'Population density affects sexual selection in an insect model' (Winkler L, Eilhardt R, Janicke T, 2023).</p>
Spring temperature drives phenotypic selection on plasticity of flowering time
<p class="western">In seasonal environments, a high responsiveness of development to increasing temperatures in spring can infer benefits in terms of a longer growing season, but also costs in terms of an increased risk of facing unfavourable weather conditions. Still, we know little about how climatic conditions influence the optimal plastic response. Using 22 years of field observations for the perennial forest herb <em>Lathyrus vernus</em>, we assessed phenotypic selection on among-individual variation in reaction norms of flowering time to spring temperature, and examined if among-year variation in selection on plasticity was associated with spring temperature conditions. We found significant among-individual variation in mean flowering time and flowering time plasticity, and that plants that flowered earlier also had a more plastic flowering time. Selection favoured individuals with an earlier mean flowering time and a lower thermal plasticity of flowering time. Less plastic individuals were more strongly favoured in colder springs, indicating that spring temperature influenced optimal flowering time plasticity. Our results show how selection on plasticity can be linked to climatic conditions, and illustrate how we can understand and predict evolutionary responses of organisms to changing environmental conditions.<span><span> </span></span></p>
Macroevolution of sexually selected weapons: weapon evolution in chameleons
Abstract The evolution of sexually selected traits is a major topic in evolutionary biology. However, large-scale evolutionary patterns in these traits remain understudied, especially those traits used in male–male competition (weapons sensu lato). Here, we analyze weapon evolution in chamaeleonid lizards, both within and between the sexes. Chameleons are an outstanding model system because of their morphological diversity (including 11 weapon types among ~220 species) and a large-scale time-calibrated phylogeny. We analyze these 11 traits among 165 species using phylogenetic methods, addressing many questions for the first time in any group. We find that all 11 weapons have each evolved multiple times and that weapon origins are generally more frequent than their losses. We find that almost all weapons have each persisted for &gt;30 million years (and some for &gt;65 million years). Across chameleon phylogeny, we identify both hotspots for weapon evolution (up to 10 types present per species) and coldspots (all weapons absent, many through loss). These hotspots are significantly associated with larger male body size, but are only weakly related to sexual-size dimorphism. We also find that weapon evolution is strongly correlated between males and females. Overall, these results provide a baseline for understanding large-scale patterns of weapon evolution within clades.
Lack of host specialization despite selective host use in brood parasitic cuckoo catfish
<p><span>Host-parasite dynamics involves coevolutionary arms races, commonly leading to host specialization. General understanding of evolutionary trajectories of specialization in brood parasites is compromised by restricted focus on bird and insect lineages. We studied host utilization and host specificity in a natural population of the cuckoo catfish (<em>Synodontis multipunctatus</em>) which is an obligate parasite of parental care of mouthbrooding cichlids in Lake Tanganyika. On a sample of 779 host broods from 20 cichlid species, we detected four host species (with prevalence of parasitism of 2-18%). Phylogenetic analysis based on genomic (ddRAD sequencing) and mitochondrial (Dloop) data from cuckoo catfish embryos showed an absence of host-specific lineages, despite former indications of two morphological forms of the cuckoo catfish. This was corroborated by analyses of genetic structure and co-ancestry matrix. All host species were from the tribe Tropheini, maternal mouthbrooders that spawn over a substrate (rather than in open water). Parasitized host individuals carried smaller clutches (as cuckoo catfish prey on cichlid eggs), but did not differ in their body size or habitat use from non-parasitized conspecifics. We conclude that the cuckoo catfish is an intermediate generalist, selecting a subset of available cichlid species as hosts but not forming host-specific lineages. Brood parasitism in the cuckoo catfish arose in a lineage which lacks any parental care and we discuss costs and benefits of host specialization in this species and brood parasites in general.</span></p>
Selected BMRB 1D 1H NMR data and physical chemistry values compiled from literature
<p>This dataset contains a collection of a few 1D 1H nuclear magnetic resonance (NMR) spectroscopy experiment data from the Biological Magnetic Resonance Data Bank (BMRB). I collected them for reference on Zenodo because the BMRB in recent years have switched servers and adopted new web APIs, and I want to have this data in a data archive for ease of reproducing the results in my work. Please cite (doi: 10.1093/nar/gkac1050) if you use the BMRB data from this dataset, or consider downloading from their website.</p> <p>This dataset also contains my compiled lists of physical chemistry NMR parameters (chemical shift, J-coupling) from literature and public domain sources for select compounds. One source is the Guided Ideographic Spin System Model Optimization (GISSMO) website, which is based on (DOI: 10.1021/acs.analchem.7b02884) and (DOI: 10.1021/acs.analchem.8b02660). Another source I used is (DOI: 10.1002/nbm.3336). Please cite these sources in addition to this dataset if you use any of the physical chemistry information in this dataset. See the read me file for the format details.</p> <p>I do not guarantee the accuracy of any of the data in this dataset.</p>
Dataset for "Terrane collision-induced subduction initiation: Mode selection and implications for western Pacific subduction system"
<p>Numerical results for "<strong>Terrane collision-induced subduction initiation: Mode selection and implications for western Pacific subduction system</strong>".</p>
Alkali metal cations modulate the geometry of different binding sites in HCN4 selectivity filter for permeation or block
<p>Dataset underlying findings published in:<br> "Alkali metal cations modulate the geometry of different binding sites in HCN4 selectivity filter for permeation or block"</p>
Physiology data for: Biomechanical origins of proprioceptor feature selectivity and topographic maps in the Drosophila leg
<p>Our ability to sense and move our bodies relies on proprioceptors, sensory neurons that detect mechanical forces within the body. Because they are located within complex and dynamic peripheral tissues, the underlying mechanisms of proprioceptor feature selectivity remain poorly understood. Using single-nucleus RNA sequencing, we found that proprioceptor subtypes in the <em>Drosophila</em> leg express similar complements of mechanosensory and other ion channels. However, anatomical reconstruction of the proprioceptive organ and connected tendons revealed major biomechanical differences between proprioceptor subtypes. We constructed a computational model that identified a biomechanical mechanism for joint angle selectivity and predicted the existence of a goniotopic map of joint angle among position-tuned proprioceptors, which we confirmed using calcium imaging. Our findings suggest that biomechanical specialization is a key determinant of proprioceptor feature selectivity in <em>Drosophila</em>. The discovery of proprioceptive maps in the fly leg reveals common organizational principles between proprioception and other topographically organized sensory systems.</p>
Adaptive immune response selects for postponed maturation and increased body size
<ol> <li>The Major Histocompatibility Complex (MHC) genes encode proteins that initiate the adaptive immune response by presenting pathogen-derived antigenic peptides to T lymphocytes. Host-pathogen coevolution drives MHC polymorphism, introducing intraspecific variation in host life expectancy. This variation interacts with optimal growth strategy, as growth increases reproductive potential. While mortality rate and body size-dependent fecundity are major factors shaping life histories, the effect of intraspecific variation in MHC-based immunity on the evolution of growth strategies and host body size remains unknown.</li> <li>Here, we model how host MHC–pathogen coevolution—and its concomitant impact on host mortality—can affect the evolution of host life-histories, as represented by age at maturation and body size. Life histories were compared in scenarios with and without adaptive immune response under equal population-level mortality rates.</li> <li>We show that host-pathogen coevolutionary dynamics select for postponed maturation and increased body size. Although MHC genes and genes that determine body size were physically unlinked, selection imposed by the Red Queen process generated linkage disequilibrium between immunocompetent MHC alleles and the maturation-postponing alleles that prolong growth phase and increase body size. Particularly large body size was attained when pathogens mutated slowly, thus allowing the advantage of resistant MHC alleles to persist over multiple generations.</li> <li>The emergence of adaptive immunity, which is pathogen-specific and enables immunological memory, is considered a major evolutionary innovation of vertebrates. Our work suggests that the adaptive immune response, mediated by polymorphic MHC genes, may drive the evolution of host body size. This form of adaptive immunity may have thus predisposed vertebrates to evolve large body sizes and exhibit the macroevolutionary patterns of increasing body size over time that have been detected in comparative studies. </li> </ol>
Data from: "Shift in habitat selection during natal dispersal in a long-lived raptor species"
<p><strong>Abstract</strong></p> <p>Animals select their habitat along environmental gradients, but the mechanisms that constrain the ecological requirements of an individual can differ between life stages. Dispersal is a key demographic process that determines gene flow and alters species distributions, yet few empirical studies have examined whether habitat selection in animals is changing during dispersal. In this study, we examined changes in habitat preferences during natal dispersal of red kites (<em>Milvus milvus</em>), a European raptor species. By deploying solar-powered GPS-GSM transmitters on nestlings, we continuously tracked individuals up to six years (2015-2020), from fledging to settlement. We applied habitat selection functions to the tracking data using hierarchical generalized additive models, a flexible method which combines individual- and population-level inference, while allowing for the contrast of the prospecting and settlement phases. During the prospecting phase (n = 204 birds), individuals were less responsive to their environment than during the settlement phase, resulting in a predicted wide distribution in Western Europe. During the settlement phase, individuals (n = 78 birds) selected a narrower range of environmental gradients, while avoiding areas of high elevation, steep topographic slopes, high human population density and highly heterogeneous landscapes. During this phase, individuals were also more philopatric, i.e., they were more inclined to choose an environment closer to their natal area, than during the prospecting phase. Suitable habitats predicted during settlement were much more spatially contrasted than during prospecting. Our study provides empirical evidence that habitat selection changes across natal dispersal phases in a long-lived species, indicating that species conservation strategies should account for different environmental constraints before and after settlement. Furthermore, our findings underscore the importance of long-term tracking data, with sufficient sample size, to study the link between habitat selection and natal dispersal.</p>
Figure 1 in Inter-group conflicts involving adult female and male bearded capuchins, Sapajus libidinosus (Primates: Cebidae), in the context of provisioned resources: resource defense or sexual selection?
Figure 1. The study site is an isolated fragment of forest, surrounded by an urban matrix: Bosque Bougainville in Goiânia, Goiás, Brazil. Source: ArcGIS Data and Maps©.
Open Science Policies as Regarded by the Communities of Researchers from the Basic Sciences in the Scientific Periphery: Major themes, subthemes and selected interview quotes
<p>Data annex containing major themes, subthemes and selected interview quotes of the article Open Science Policies as Regarded by the Communities of Researchers from the Basic Sciences in the Scientific Periphery.</p>
3D Printing of Personalised Carvedilol Tablets Using Selective Laser Sintering - Underlying Data
<p><strong>Underlying μCT Data for "<em>3D Printing of Personalised Carvedilol Tablets Using Selective Laser Sintering</em>"</strong></p> <p>by <em>Atabak Ghanizadeh Tabriz, Quentin Gonot-Munck, Arnaud Baudoux, Vivek Garg, Richard Farnish, Orestis L. Katsamenis, Ho-Wah Hui, Nathan Boersen, Sandra Roberts, John Jones, and Dennis Douroumis</em></p> <p><em>published in MDPI pharmaceutics<br> In section: Physical Pharmacy and Formulation, Recent Non-oral Dosage Form Development: Focus on 3D-Printed Formulations</em></p> <p><em>The micro- and macro-porosities of representative 3D-printed tablets at 25%, 40%, and 55% laser intensities was measured. SLS-printed components were also characterised by means of X-ray microfocus computed tomography (μCT). Imaging was performed at the University of Southampton’s μ-VIS X-ray Imaging Centre (www.muvis.org) using a customised μCT scanner optimised for 3D X-ray histology (www.xrayhistology.org). The system, which is based on Nikon’s XTH225ST system (Nikon Metrology UK Ltd.)</em></p> <p> </p> <p><strong>Data index</strong></p> <ul> <li>20230206_XRH_3299_OLK_PHAR08603-DOSF_40.zip <ul> <li>Dataset (including ORS Dragonfly analysis file) of object printed at 40% laser power<br> 10 µm voxel size isotropic</li> </ul> </li> <li>20230206_XRH_3299_OLK_PHAR08616-DOSF.zip <ul> <li>Dataset (including ORS Dragonfly analysis file) of object printed at 55% laser power<br> 10 µm voxel size isotropic</li> </ul> </li> <li>20230206_XRH_3299_OLK_PHAR08616-DOSF_25.zip <ul> <li>Dataset (including ORS Dragonfly analysis file) of object printed at 25% laser power<br> 10 µm voxel size isotropic</li> </ul> </li> <li>SLS-3DP_OLK-CorrectRes.xlsx <ul> <li>Analysis results & graphs</li> </ul> </li> </ul> <p><em>X-ray CT analysis conducted using Dragonfly software (v. 2022.1.0.1231; Object Research Systems (ORS) Inc, Montreal, Canada, 2020; software available at http://www.theobjects.com/dragonfly</em></p>
Legacy files for the Gaia selection function
<p>This upload gathers several precomputed files related to the selection function of the Gaia DR2 and DR3 catalogues.</p> <p><strong>cog_dr2_scanning_law_v2.csv</strong> - Corrected Gaia scanning law for DR2 (Boubert & Everall 2020MNRAS.497.1826B)</p> <p><strong>cog_ii_dr2.h5</strong> - Precomputed completeness for DR2 (Boubert & Everall 2020MNRAS.497.4246B)</p> <p><strong>n_field_dr3.h5</strong> - Precomputed completeness for EDR3 (Everall & Boubert 2022MNRAS.509.6205E)</p> <p><strong>dr3-rvs-nk.h5</strong> - Table containing counts of stars with and without radial velocity, binned by G, G_RP and healpix (level 5) (Castro-Ginard et al. 2023)</p> <p><strong>rvs_cogv.h5</strong> - Precomputed selection function for the RVS subsample (Everall & Boubert 2022MNRAS.509.6205E)</p>
High parasite virulence necessary for the maintenance of host outcrossing via parasite-mediated selection
<p>Biparental sex is widespread in nature, yet costly relative to uniparental reproduction. It is generally unclear why self-fertilizing or asexual lineages do not readily invade outcrossing populations. The Red Queen hypothesis predicts that coevolving parasites can prevent self-fertilizing or asexual lineages from invading outcrossing host populations. However, only highly virulent parasites are predicted to maintain outcrossing, which may limit the general applicability of the Red Queen hypothesis. Here, we tested whether the ability of coevolving parasites to prevent invasion of self-fertilization within outcrossing host populations was dependent on parasite virulence. We introduced wild-type <em>Caenorhabditis elegans</em> hermaphrodites, capable of both self-fertilization and outcrossing, into <em>C. elegans</em> populations fixed for a mutant allele conferring obligate outcrossing. Replicate <em>C. elegans</em> populations were exposed for 24 host generations to one of four strains of <em>Serratia marcescens</em> parasites that varied in virulence, under three treatments: a heat-killed (control, non-infectious) parasite treatment, a fixed-genotype (non-evolving) parasite treatment, and a copassaged (potentially coevolving) parasite treatment. As predicted, self-fertilization invaded <em>C. elegans</em> host populations in the control and fixed-parasite treatments, regardless of parasite virulence. In the copassaged treatment, selfing invaded host populations coevolving with low- to mid- virulent strains but remained rare in hosts coevolving with highly virulent bacterial strains. Therefore, we found that only highly virulent coevolving parasites can impede the invasion of selfing.</p>
Integrative QTL mapping and selection signatures in Groningen White Headed cattle inferred from whole-genome sequences
<p>Here, we aimed to identify and characterize genomic regions that differ between Groningen White Headed (GWH) breed and other cattle, and in particular to identify candidate genes associated with coat color and/or eye-protective phenotypes. Firstly, whole genome sequences of 170 animals from eight breeds were used to evaluate the genetic structure of the GWH in relation to other cattle breeds by carrying out principal components and model-based clustering analyses. Secondly, the candidate genomic regions were identified by integrating the findings from: a) a genome-wide association study using GWH, other white headed breeds (Hereford and Simmental), and breeds with a non-white headed phenotype (Dutch Friesian, Deep Red, Meuse-Rhine-Yssel, Dutch Belted, and Holstein Friesian); b) scans for specific signatures of selection in GWH cattle by comparison with four other Dutch traditional breeds (Dutch Friesian, Deep Red, Meuse-Rhine-Yssel and Dutch Belted) and the commercial Holstein Friesian; and c) detection of candidate genes identified via these approaches. The alignment of the filtered reads to the reference genome (ARS-UCD1.2) resulted in a mean depth of coverage of 8.7X. After variant calling, the lowest number of breed-specific variants was detected in Holstein Friesian (148,213), and the largest in Deep Red (558,909). By integrating the results, we identified five genomic regions under selection on BTA4 (70.2–71.3 Mb), BTA5 (10.0–19.7 Mb), BTA20 (10.0–19.9 and 20.0–22.7 Mb), and BTA25 (0.5–9.2 Mb). These regions contain positional and functional candidate genes associated with retinal degeneration (e.g., <em>CWC27</em> and <em>CLUAP1</em>), ultraviole<em>t</em> protection (e.g., <em>ERCC8</em>), and pigmentation (e.g. <em>PDE4D</em>) which are probably associated with the GWH specific pigmentation and/or eye-protective phenotypes, e.g. Ambilateral Circumocular Pigmentation (ACOP). Our results will assist in characterizing the molecular basis of GWH phenotypes and the biological implications of its adaptation.</p>
Data and code for 'Pseudogenes act as a neutral reference for detecting selection in prokaryotic pangenomes'
<p>This repository contains the code and files for reproducing the analyses and results reported in 'Pseudogenes act as a neutral reference for detecting selection in prokaryotic pangenomes' by Gavin M. Douglas and B. Jesse Shapiro (<a href="https://doi.org/10.1038/s41559-023-02268-6">https://doi.org/10.1038/s41559-023-02268-6</a>).</p> <p>File organization and descriptions:</p> <ul> <li><strong>code/</strong> - Contains GitHub repository releases of code used in manuscript (the other folders contain datafiles only). This code is provided here as well as on GitHub to ensure long-term access. <ul> <li><strong>handy_pop_gen-1.1.0/</strong> - release v1.1.0 of the convenience repository (used for specific data processing and analysis steps referred to in the manuscript).</li> <li><strong>pangenome_pseudogene_null-1.1.0/ </strong>- Main code repository for manuscript.</li> </ul> </li> </ul> <p> </p> <ul> <li><strong>broad_pangenome_analysis/</strong> <ul> <li><strong>element_info/element_counts.tsv.gz</strong> - Counts of (filtered) pseudogenes and intact genes called per genome accession.</li> <li><strong>element_info/gene_sizes.tsv.gz</strong> - Gene sizes in base-pairs.</li> <li><strong>element_info/pseudogene_sizes.tsv.gz</strong> - Filtered pseudogene sizes in base-pairs.</li> <li><strong>element_info/element_percent_coverage/*tsv.gz</strong> - Tables containing the percent genome coverage of genes and pseudogenes, by accession and averaged over accessions per species separately.</li> <li><strong>example_Mycoplasmopsis_bovis_panaroo_output.csv.gz</strong> - Panaroo output table for <em>Mycoplasmopsis bovis</em>, which was used for an example. Corresponds to the <em>gene_presence_absence.csv</em> file in the raw Panaroo output.</li> <li><strong>focal_and_non.focal_full_to_short.tsv.gz</strong> - Mapfile of full to short (and unique) species ids used in analysis. Primarily to include species ids in cluster names without making them unnecessarily long.</li> <li><strong>genome_info/accessions.tsv.gz</strong> - Genome accessions used for broad pangenome analysis (note that not all genome accessions could be downloaded [and were ignored], which is indicated in the "could_download" column).</li> <li><strong>genome_info/genome_sizes.tsv.gz</strong> - Sizes of all genomes used for the broad pangenome analysis.</li> <li><strong>metrics_additional_subsamples.tsv.gz</strong> - Contains columns also found in the <em>pangenome_and_related_metrics.tsv.gz</em> file below, but based on genome subsamplings of 3 and 20, rather than 9.</li> <li><strong>model_output/pangenome_linear_models.rds</strong> - R Data Serialization files containing the output of R linear model objects (generated by lm and provided as an R list object). There are separate elements in the list for the mean number of genes, genomic fluidity, percentage singletons (si), and si/sp.</li> <li><strong>model_output/linear_model_coef.tsv.gz</strong> - Coefficient summary table for all linear models.</li> <li><strong>pangenome_and_related_metrics.tsv.gz</strong> - Metrics used for broad pangenome analysis across 670 prokaryotic species. Note that this table was filtered down to 668 species after excluding those with < 9 genomes.</li> <li><strong>pangenome_and_related_metrics_filt.tsv.gz</strong> - Filtered table, as described above.</li> <li><strong>taxonomy.tsv.gz</strong> - Taxonomy for all species used for this analysis, taken from GTDB. Row names are species names.</li> </ul> </li> </ul> <p> </p> <ul> <li><strong>indepth_10_species_analysis/</strong> <ul> <li><strong>cluster_breakdown_tables/</strong> - Folder containing tables providing breakdown of how clusters are distributed by element type, pangenome partition, and species. Provided for easy plotting.</li> <li><strong>cluster_COG_annot.tsv.gz</strong> - Mapping of cluster IDs to COG annotations.</li> <li><strong>cluster_filt_lengths_and_additional.tsv.gz</strong> - Metadata on clusters, most pertinently the length of the representative sequence in the cluster (which was used to filter out some clusters, below the cut-off which pseudogenes could not be called).</li> <li><strong>cluster_member_breakdown.tsv.gz </strong>- Table providing information on each element (called pseudogenes and intact genes) and provides information such as what cluster they are part of, what species and genome accession they are found in, etc.</li> <li><strong>cluster_types.rds</strong> - R Data Serialization file containing R list providing breakdown of all clusters into categories (intact/pseudogene/mixed, where mixed means containing both pseudogene and intact elements).</li> <li><strong>COG_enrichment_results/ultra.cloud-COG-gene-enrichments.tsv.gz</strong> - Output file with enrichment test summaries for COG IDs in significant COG categories, which was run for the ultra-cloud pangenome partition model only.</li> <li><strong>element_glmm_input.tsv.gz </strong>- Table containing all information used for fitting generalized linear mixed models.</li> <li><strong>focal_species.txt</strong> - Names of species used for the in-depth analysis.</li> <li><strong>genome_info/ </strong>- Folder containing the genome accessions (and the corresponding genome sizes) for all ten analyzed species.</li> <li><strong>glmm_output/</strong> - Folder containing R Data Serialization files containing output R objects after fitting generalized linear mixed models (only ultra-rare files are present, due to file size constraints).</li> <li><strong>per_genome_element.type_percent_coverages.rds</strong> - R Data Serialization file containing R list providing the percent coverage by intact genes vs pseudogenes per accession (nested by species)</li> </ul> </li> </ul>
Data set on the impact of selected plant protection products on ecosystem service providers, including interactive effects
<p>The Excel files contain the results of ecotoxicological tests for the effects of selected insecticides on ESP species. The objective of this dataset is to provide original data from acute and semi-chronic laboratory tests on a few important beneficial species with broad geographic distribution. The data allow the evaluation of delayed effects and possible interactive effects of combined treatments for those pesticides that are commonly used in mixtures or sprayed next to each other in short time intervals, effectively exposing non-target arthropods to combined/sequential effects. Each data file contains the “Description” sheet where all details of the test and the exact meaning of data fields in the database are reported. The data files are named in a self-explanatory manner, starting with the name of the institution that produced the data (UC – University of Coimbra; UJA – Jagiellonian University), followed by the name of the tested species and names of tested products.</p>
Food quantity and the intensity of the alarm signal combine to modulate the resource selection in a termite species
<p>Maximizing food intake while minimizing risk is an important trade-off in the foraging behavior of most animals. In general, foragers are vulnerable and the ability to trade off benefits (food quantity) against costs (risk of being killed) may provide a considerable ecological advantage. Despite the increasing number of studies, the effects of food quantity and mortality risk signals on resource selection in eusocial insect is not well understood. Here, we investigated the combination of distinct levels of food quantity and the intensity of alarm signal on resource selection of a Neotropical termite, <em>Nasutitermes</em> <em>corniger</em> (Motschulsky) (Termitidae: Nasutitermitinae). Manipulative bioassays with binary and multiple choices were conducted over time to check the recruitment of termite groups among resources containing different levels of food quantity and alarm signals. Overall, our results showed that regardless of food quantity, termites avoid a food source if there is even a small amount of alarm signal. This work contributes to a better understanding of habitat use by termite species. Furthermore, it shows for the first time the combined effects of food quantity and alarm signals on the resource selection of an important ecological and economic termite species. </p>
ScienceDex guides
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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.