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.
8,460
datasets available to search
ShareScore release 0.7.1
Dataset results
8,460 results for “ants”
Soil nutrients sampled in and around harvester ant nests in three habitats at the Jornada Basin LTER site, 1987
This dataset contains soil nutrient content measurements from harvester ant nests and reference soils in three nesting habitats at the Jornada Basin LTER site in 1987. The purpose of this investigation was to answer three general questions: 1. How does the modification of soil properties and the ratios of resources (e.g., water-N) by ants alter species assemblages of winter annual plants at the edge of the ant nests? 2. How does the "spring cleaning", clipping, predation or herbivory by ants affect success of the winter annual plants at the edge of ant nests? 3. Are there significant differences in the floristic assemblage and belowground standing crop (root biomass) between the edge of ant nest and the surrounding unaffected soils? Five ant nests and paired (non-nest) reference soils were sampled in three study locations. This dataset contains chemical analyses for the soil samples collected for each of the three sites, including total nitrogen, (ammonium, nitrate), inorganic phosphorus, and exchangeable cations (K+, Na+, Ca2+ and Mg2+). Also included is below ground biomass from five ant nests for each of the three sites. This study was completed in 1987.
Soil organic matter content sampled in and around harvester ant nests in three habitats at the Jornada Basin LTER site, 1987
This dataset contains soil organic matter content measurements from harvester ant nests and reference soils in three nesting habitats at the Jornada Basin LTER site in 1987. The purpose of this investigation was to answer three general questions: 1. How does the modification of soil properties and the ratios of resources (e.g., water-N) by ants alter species assemblages of winter annual plants at the edge of the ant nests? 2. How does the "spring cleaning", clipping, predation or herbivory by ants affect success of the winter annual plants at the edge of ant nests? 3. Are there significant differences in the floristic assemblage and belowground standing crop (root biomass) between the edge of ant nest and the surrounding unaffected soils? Five ant nests and paired (non-nest) reference soils were sampled in three study locations. This dataset contains percent (%) organic matter content measured by mass-loss on combustion in a muffle furnace. This study was completed in 1987.
Gravimetric soil water content sampled in and around harvester ant nests in three habitats at the Jornada Basin LTER site, 1987
This dataset contains gravimetric soil water content measurements from harvester ant nests and reference soils in three nesting habitats at the Jornada Basin LTER site in 1987. The purpose of this investigation was to answer three general questions: 1. How does the modification of soil properties and the ratios of resources (e.g., water-N) by ants alter species assemblages of winter annual plants at the edge of the ant nests? 2. How does the "spring cleaning", clipping, predation or herbivory by ants affect success of the winter annual plants at the edge of ant nests? 3. Are there significant differences in the floristic assemblage and belowground standing crop (root biomass) between the edge of ant nest and the surrounding unaffected soils? Five ant nests and paired (non-nest) reference soils were sampled in three study locations on a monthly schedule from January to May 1987. This dataset contains percent (%) soil water content in these samples determined using the gravimetric method. This study was completed in 1987.
Ant populations and Pest suppression at the Kellogg Biological Station, Hickory Corners, MI (2018)
Dataset Abstract Data supporting the paper Helms IV, J. A., S. E. Ijelu, B. D. Wills, D. A. Landis, and N. M. Haddad. 2020. Ant biodiversity and ecosystem services in bioenergy landscapes. Agriculture, Ecosystems and Environment 290:106780 https://doi.org/10.1016/j.agee.2019.106780 The data tables document mortality of pest insect eggs in vertebrate exclosures, as well as ant species and the number of ant workers captured in pitfall traps, during the 2018 growing season in LTER forest plots, the Biofuel Cropping System Experiment (BCSE) plots, and the GLBRC Scale-up Experiment. original data source http://lter.kbs.msu.edu/datasets/188
Statistical analysis and dataset for: Acute exposure to caffeine improves foraging in an invasive ant
<p>Linked to the journal article published in iScience (https://doi.org/10.1016/j.isci.2024.109935).</p> <p><em><strong>Abstract</strong></em></p> <p>Argentine ants, <em>Linepithema humile</em>, are a particularly concerning invasive species. Control efforts often fall short likely due to a lack of sustained bait consumption. Using neuroactives, such as caffeine, to improve ant learning and navigation could increase recruitment and consumption of toxic baits. Here, we exposed <em>L. humile</em> to a range of caffeine concentrations and a complex ecologically relevant task: an open landscape foraging experiment. Without caffeine, we found no effect of consecutive foraging visits on the time the ants take to reach a reward, suggesting a failure to learn the reward’s location. However, under low to intermediate caffeine concentrations ants were 38% faster with each consecutive visit, implying that caffeine boosts learning. Interestingly, such improvements were lost at high doses. In contrast, caffeine had no impact on the ants’ homing behavior. Adding moderate levels of caffeine to baits could improve ant’s ability to learn its location, improving bait efficacy.</p> <p> </p> <ul> <li><strong>sample_videos.zip</strong>: A subset of the videos used for data extraction. The complete collection of videos is not publicly accessible primarily due to their considerable size (105.35GB). Requests for access to the entire video set are encouraged.</li> <li><strong>Preregistration.pdf</strong>: The preregistration created for data collection and analysis with justifications for deviations from it.</li> <li><strong>OpLan_D1_metadata.csv</strong>: Manually collected metadata pertaining to experimental conditions, subjects, and treatments.</li> <li><strong>OpLan_D2_DLC_coordinates.zip</strong>: Cartesian coordinates obtained from DeepLabCut for each of the videos analysed.</li> <li><strong>OpLan_C1_reproject_coordinates.py</strong>: Python code used to standardise the ants' coordinates by ensuring the same corner of the A4 platform was used as the origin of the cartesian referential of all videos. The known dimensions of the A4 were further used to convert coordinates from pixels to millimetres.</li> <li><strong>OpLan_C2_remove_impossibilities.py</strong>: Python code used to account for DeepLabCut tracking errors, with any ant movement exceeding two millimetres per frame being considered implausible and subsequently removed.</li> <li><strong>OpLan_C3_find_changepoints.py</strong>: Python code used to automatically derive the times at which an ant reached and left the reward from the tracking data.</li> <li><strong>OpLan_C4_inward_outward_data.py</strong>: Python code used to calculate relevant measures for the foodward (inward) and nestward (outward) journey such as journey duration, mean instantaneous speed and path tortuosity.</li> <li><strong>OpLan_C5_Figure_2.R</strong>: R code used to produce the raw elements of Figure 2.</li> <li><strong>OpLan_C6_Figure_4.R</strong>: R code used to produce the raw elements of Figure 4.</li> <li><strong>OpLan_C7_Statistical_Analysis.html</strong>: Complete statistical analysis and code for the manuscript.</li> </ul>
Statistical analysis and dataset for: Invasive ants fed spinosad collectively recruit to known food faster yet individually abandon food earlier
<p>Linked to the journal article published in bioRxiv (https://doi.org/10.1101/2024.06.20.599949).</p> <p><em><strong>Abstract</strong></em></p> <p>Current management strategies applied to invasive ants rely on slow-acting insecticides which aim to delay the ant’s ability to detect the poison until its effects are noticeable. Despite this, most control efforts are unsuccessful, likely due to bait abandonment and insufficient sustained consumption. Conditioned taste aversion, a learned avoidance of a particular taste, is a crucial survival mechanism which prevents animals from repeatedly ingesting toxic substances. However, whether ants are capable of this delayed association between food taste and subsequent illness remains largely unexplored. Here, we exposed colonies of the highly invasive Argentine ant, <em>Linepithema humile</em>, to a sublethal dose of the slow-acting insecticide spinosad. We combined measurements of individual-level feeding patterns with quantification of collective preferences and foraging dynamics to investigate the potential effects of the toxicant on behaviour. Collectively, ants preferred an odour associated with a previously experienced food, even if this contained spinosad, over a novel one. However, at the individual-level, previous exposure to spinosad resulted in reduced food consumption, as a consequence of earlier food abandonment. Moreover, while control-treated colonies recruited slower to a food source which tasted like a previously experienced one, spinosad-exposed colonies recruited equally fast to both novel and familiar foods. Although it appears that ants are unable to develop a conditioned taste aversion to sublethal doses of spinosad, ingestion of even small amounts of the toxicant strongly influences foraging behaviour. Understanding the subtle effects of slow-acting pesticides on ant cognition and behaviour can ultimately inspire the development of more efficient control methodologies.</p>
Países de prioridad asociados a las solicitudes de patente ante la WIPO que vinculen por lo menos a un colombiano
<p>Relación de países de prioridad asociados con los registros de solicitudes de patente presentadas ante la OMPI entre los años 2000 y 2019. que incluyen por lo menos a un colombiano como titular</p>
Sectores Tecnológicos asociados a las solicitudes de patente ante la WIPO que vinculen por lo menos a un colombiano
<p>Relación de sectores tecnológicos asociados a los registros de solicitudes de patente presentadas ante la OMPI entre los años 2000 y 2019. que incluyen por lo menos a un colombiano como titular</p>
Data - Ant identity determines the fungi richness and composition of a myrmecochorous seed
<p>Data set and analyse used in the manuscript title "<span>Ant </span><span>identity determines the fungi richness and composition of myrmecochorous seeds". In this manuscript w<span>e explore the effects of seed manipulation on fungi communities promoted by two ants with contrasting effects on seed germination and antimicrobial strategies. We hypothesize that i) seeds manipulated by <em>Atta sexdens</em> (increase seed germination and has broad cleaning strategies) will present lower fungi richness than those manipulated by <em>Acromyrmex subterraneus</em> (impair seed germination and has narrow cleaning strategies); <span>ii) seeds manipulated by </span><em>A. sexdens </em>and<em> Ac. subterraneus </em>will present<em> </em>dissimilar<em> </em><span>fungi composition. </span>We tested the hypotheses by identifying fungi morphotypes present in three groups of seeds: i) manipulated by <em>Atta sexdens</em>; ii) manipulated by <em>Ac. subterraneus</em>; iii) unmanipulated. </span></span><span>From the seeds manipulated by ants, we randomly take a sub-sample of 20 seeds per nest to evaluate the fungi community. We also took 20 unmanipulated seeds (the ones left outside each experimental nest). Therefore, we had three seed treatment groups: <span><span> </span></span>i) manipulated by <em>A. sexdens</em> (20 seeds per nest = 80 seeds)<em>;</em> ii) manipulated by <em>Ac. Subterraneus</em> (20 seeds per nest = 80 seeds)<em> </em>and iii) control - unmanipulated seeds left outside of each experimental nest (20 seeds outside of each nest = 160 seeds).</span><span>To allow the fungi growth on seeds, we placed each seed separately on sterile Petri dishes (90 x15 mm) filled with 15 ml of Potato-Dextrose-Agar (PDA) culture medium. We then transported each Petri dish to a Bio-Oxygen-Demand incubator (BOD) at 25°C for 28 days. After that period, we sampled the fungi and prepared microscope slides for each fungus morphotype found in each Petri dish. We identified the fungi to the lower taxonomic level possible using “The genera of Hyphomycetes” <span><span>(Seifert et al. 2011)</span></span> and the website mycobank.org . We used this method because it is widely used to identify pathogens in seeds, has a low cost and has good specificity to identify fungi<span> </span>. Furthermore, PDA medium is a non-selective fungi growth media suitable for a broad range of fungi species.</span></p> <p><span><span> </span></span></p>
Data from: Absence of genetic isolation across highly fragmented landscape in the ant Temnothorax nigriceps
<p><strong>This README accompanies data_genotyping.txt</strong></p> <p> </p> <p><strong><em>Associate publication : </em></strong></p> <p>Absence of genetic isolation across highly fragmented landscape in the ant Temnothorax nigriceps</p> <p>M. Cordonnier<sup>a</sup>, D. Felten<sup>a</sup>, A. Trindl<sup>a</sup>, J. Heinze<sup>a</sup>*, A. Bernadou<sup>a</sup>*</p> <p><sup>a</sup>Lehrstuhl für Zoologie / Evolutionsbiologie, Univ. Regensburg</p> <p>*Equal contribution</p> <p> </p> <p>****************************** CONTENTS *******************************</p> <p>The data can be readily imported in any statistical package or spreadsheet program. Please, contact me if you need the file formatted in other ways.</p> <p> </p> <p>This file includes a description of the variables.</p> <p>***********************************************************************</p> <p>Variable names and descriptions</p> <p> </p> <p><strong>Sample:</strong> ID of the sampled nest</p> <p><strong>Location:</strong> Population of the sampled nest</p> <p> </p> <p><strong>List of genotypes </strong></p> <p>Microsatellite primers used in the study</p> <table> <tbody> <tr> <td> </td> <td> <p>Annealing temperature [°C]</p> </td> <td> <p>Orientation</p> </td> <td> <p>Sequence of primers</p> </td> </tr> <tr> <td> <p>LX GT218</p> </td> <td> <p>57</p> </td> <td> <p>Forward</p> </td> <td> <p>5’-GTTCTTGCGCGGATGCATAC-3’</p> </td> </tr> <tr> <td> <p>Reverse</p> </td> <td> <p>5’-TGTACTCGCGTGTCTATCGG-3’</p> </td> </tr> <tr> <td> <p>Ant3993</p> </td> <td> <p>57</p> </td> <td> <p>Forward</p> </td> <td> <p>5’-TGATCCGCTCTTAAAATTTAGATGGA-3’</p> </td> </tr> <tr> <td> <p>Reverse</p> </td> <td> <p>5’-ACTTTCCGCRGCATTAAACATTTTCTT-3’</p> </td> </tr> <tr> <td> <p>L-18</p> </td> <td> <p>57</p> </td> <td> <p>Forward</p> </td> <td> <p>5’-TGAATTTGGATGGCGGTAGAC-3’</p> </td> </tr> <tr> <td> <p>Reverse</p> </td> <td> <p>5’-ACCTAATGCACGCTTTAGAAT-3’</p> </td> </tr> <tr> <td> <p>LXA GT1</p> </td> <td> <p>57</p> </td> <td> <p>Forward</p> </td> <td> <p>5’-GTGGCGACCAATTCTGCAAG-3’</p> </td> </tr> <tr> <td> <p>Reverse</p> </td> <td> <p>5’-GCAGGACCAGCATCAAATGACAG-3’</p> </td> </tr> <tr> <td> <p>2MS17</p> </td> <td> <p>55</p> </td> <td> <p>Forward</p> </td> <td> <p>5’-CAGCCTCTATTTTGTTCGAAG-3’</p> </td> </tr> <tr> <td> <p>Reverse</p> </td> <td> <p>5’-TTTACTGCGGCTCCATAATC-3’</p> </td> </tr> <tr> <td> <p>2MS46</p> </td> <td> <p>55</p> </td> <td> <p>Forward</p> </td> <td> <p>5’-GCTCACTACTATGCTGCCAGC-3’</p> </td> </tr> <tr> <td> <p>Reverse</p> </td> <td> <p>5’-CTTTCCTGCAAACCACGTGT-3’</p> </td> </tr> <tr> <td> <p>2MS60</p> </td> <td> <p>55</p> </td> <td> <p>Forward</p> </td> <td> <p>5’-TATGCGCCGGACAATAATCGC-3’</p> </td> </tr> <tr> <td> <p>Reverse</p> </td> <td> <p>5’-GTTCATTGTCCGAGGCGCAGC-3’</p> </td> </tr> <tr> <td> <p>2MS67</p> </td> <td> <p>55</p> </td> <td> <p>Forward</p> </td> <td> <p>5’-GAAGATTCGTCAGGATGCAGC-3’</p> </td> </tr> <tr> <td> <p>Reverse</p> </td> <td> <p>5’-AACTCTCGCTGGCAAGCGAGC-3’</p> </td> </tr> <tr> <td> <p>2MS82</p> </td> <td> <p>55</p> </td> <td> <p>Forward</p> </td> <td> <p>5’-AAAAGAGCATGCAACAGGTCAGC-3’</p> </td> </tr> <tr> <td> <p>Reverse</p> </td> <td> <p>5’-TTTCTTAAGTCGCAAGCGAGC-3’</p> </td> </tr> <tr> <td> <p>2MS87</p> </td> <td> <p>55</p> </td> <td> <p>Forward</p> </td> <td> <p>5’-GGAACCTCACTCAACCTCGGT-3’</p> </td> </tr> <tr> <td> <p>Reverse</p> </td> <td> <p>5’-ACGCGGACTACTTTAACCGGA-3’</p> </td> </tr> <tr> <td> <p>2MS91</p> </td> <td> <p>55</p> </td> <td> <p>Forward</p> </td> <td> <p>5’-AAAGTCTCGGAGTGGCTTTGC-3’</p> </td> </tr> <tr> <td> <p>Reverse</p> </td> <td> <p>5’-ATTCTCGTCCATTTGTTCTAA-3’</p> </td> </tr> <tr> <td> <p>Ant11893</p> </td> <td> <p>55</p> </td> <td> <p>Forward</p> </td> <td> <p>5’-CAGGCTCGGRACGTTAATGC-3’</p> </td> </tr> <tr> <td> <p>Reverse</p> </td> <td> <p>5’-GGTGCCGACGTCTAGCTAGC-3’</p> </td> </tr> </tbody> </table> <p> </p> <p>Missing data are encoded “-9”.</p> <p> </p> <p>****************************** CONTACTING *****************************</p> <p>Contact me at:</p> <p> </p> <p>Marion Cordonnier</p> <p>e-mail: marion.cordonnier@hotmail.com</p> <p> </p> <p>***********************************************************************</p> <p> </p>
Temnothorax rugatulus ants do not change their nest walls in response to environmental humidity
<p><strong>Overview</strong></p> <p>Data used for manuscript: <em>Temnothorax rugatulus</em> ants do not change their nest walls in response to environmental humidity</p> <p> </p> <p><strong>Structure of the data</strong></p> <p>SupplementalHygrometerDatabase.csv</p> <p>Raw hygrometer data that is used to calculate the average environmental humidity and temperature for each Trial:Salt combination</p> <ul> <li>Colony: Unique experimental colony identifiers</li> <li>TrialNumber: Sequential trial number (1-4) that is NOT unique for each colony - see "Trial"</li> <li>Salt: Saturated salt solution used</li> <li>"Date Time, GMT-07:00": Date and time of each observation</li> <li>Temp: Temperature in celcius</li> <li>RH: Relative humidity (%)</li> <li>Trial: The trial number for each individual colony, each colony underwent two trials</li> </ul> <p>HumidityExperimentalDatabase.csv</p> <p>Raw experimental data with nest features and colony size</p> <ul> <li>Colony: Unique experimental colony identifiers</li> <li>Trial: The trial number for each individual colony, each colony underwent two trials</li> <li>TrialNumber: Sequential trial number (1-4) that is NOT unique for each colony - see "Trial"</li> <li>Day: The day in the experimental timeline (always 10, but days 1 and 5 were captured and not considered)</li> <li>Area: Area of the built nest wall (mm<sup>2</sup>)</li> <li>Length: Length of the built nest wall (mm)</li> <li>Nest.Area: Area of the internal nest space (mm<sup>2</sup>)</li> <li>HumLevel: Whether the colony started with a higher or lower relative humidity (High/Low)</li> <li>Number.Ant: The number of workers in the colony</li> <li>Number.Brood: The number of brood in the colony</li> <li>Number.Queens: The number of brood in the colony</li> <li>Salt: Saturated salt solution used</li> <li>SubstrateISide: Substrate I placement in the container from the perspective of looking out from the nest entrance</li> <li>StartWtI: The initial weight (g) of the available substrate I building nest wall material</li> <li>UsedWtI: The weight (g) of the available substrate I building nest wall material following the experimental building phase</li> <li>StartWtII: The initial weight (g) of the available substrate II building nest wall material</li> <li>UsedWtII: The weight (g) of the available substrate II building nest wall material following the experimental building phase</li> <li>CollWallWt: The weight (g) of the experimental nest wall that each colony built</li> </ul> <p>HumidMortalityRaw.csv</p> <p>Raw experimental data with proportion of workers and brood dead after each colony underwent Trial 1</p> <ul> <li>Colony: Unique experimental colony identifiers</li> <li>WorkerDeath: Proportion of workers that died</li> <li>BroodDeath: Proportion of brood that died</li> <li>TrialNumber: Sequential trial number (1-4) that is NOT unique for each colony</li> </ul> <p>PorosityComparisonRaw.csv</p> <p>Data used for comparing the porosities of each experimental substrate, experimentally built walls, and collected <em>Temnothorax rugatulus</em> walls</p> <p>Porosity is the percentage of void space in compact substrate - PoreVolume/TotalVolume</p> <ul> <li>SubstrateID: A unique identifier for each substrate replicate</li> <li>Trial: The trial number for each individual colony, each colony underwent two trials (only applicable for experimentally built walls)</li> <li>SubCategory: The type of substrate (Sub I, Sub II, Built, Natural)</li> <li>TotalVolume: The combined pore (void space in compact substrate grains) and soil volume (ml) of a substrate</li> <li>PoreVolume: The void space in between compact substrate grains (ml)</li> </ul>
John Antes (a1409)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: John Antes<br><u>musiXplora-ID</u>: a1409<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/a1409">https://musixplora.de/mxp/a1409</a><br><u>Gender</u>: m<br><u>Date of Birth</u>: 24 March 1740<br><u>Place of Birth</u>: Frederick/PE<br><u>Date of Death</u>: 17 December 1811<br><u>Place of Death</u>: Undefined<br><u>First Mentioned</u>: 1745<br><u>Sectors</u>: Instrumentenbau, Kirche<br><u>Professions (Musical)</u>: Geigenbauer, Geiger, Komponist<br><u>Professions (Non-Musical)</u>: Abgeordneter, Politiker<br><u>Other Places of Activity</u>: Bethlehem/PE, Herrnhut<br><br><br><u>Titel/Medien:</u><br><table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Related</td><td>AmGrove 2013</td><td>The Grove Dictionary of American Music. Ed. by Charles Hiroshi Garrett. 8 Bände</td><td><a href="https://musixplora.de/mxp/5020432">5020432</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
Landscape and habitat data for Tetramorium ant species from Cordonnier et al. 2019 Landscape Ecology
<p>This README accompanies the file "data_Cordonnier_LandEcol.txt"</p> <p>Associated publication : </p> <p>Multi-scale impacts of urbanization on species distribution within the genus <br> <em>Tetramorium </em>- Landscape Ecology<br> M. Cordonnier, C. Gibert, A. Bellec, B. Kaufmann, G. Escarguel</p> <p> <br> ********************************** CONTENTS ***********************************<br> The data are in table form with TABs as variables field delimiters so they can <br> be readily imported in any statistical package or spreadsheet program. Please, <br> contact me if you need the file formatted otherwise. </p> <p>This file includes a description of the variables.</p> <p>The individuals described in this file were identified to species and analyzed for climate variables in</p> <p>Cordonnier, M., Bellec, A., Dumet, A., Escarguel, G., & Kaufmann, B. (2019). <br> Range limits in sympatric cryptic species: a case study in Tetramorium pavement <br> ants (Hymenoptera: Formicidae) across a biogeographical boundary. Insect <br> Conservation and Diversity, 12(2), 109-120.<br> </p> <p>*******************************************************************************<br> Variable names and descriptions</p> <p>ID Sample name<br> X Longitude in WGS 84 (World Geodetic System 1984) decimal degrees rounded to 5 decimal places<br> Y Latitude in WGS 84 (World Geodetic System 1984) decimal degrees rounded to 5 decimal places<br> SZ Name of the sampling area sensu Cordonnier et al. (2019)<br> SP Species identification based on mtDNA COI gene<br> PI10 Percentage of impervious surfaces within a 10 m buffer around the sample<br> PI30 Percentage of impervious surfaces within a 30 m buffer around the sample<br> PI500 Percentage of impervious surfaces within a 500 m buffer around the sample<br> MH1 Presence / absence of full soil with vegetation <br> MH2 Presence / absence of pavement <br> MH3 Presence / absence of unstabilized material (sand. gravel. compacted soil <br> with pebbles or small rocks) <br> MH4 Presence / absence of wood or root <br> MH5 Presence / absence of litter (woodchips or dead leaves) <br> MH6 Presence / absence of curb <br> MH7 Presence / absence of building <br> MH8 Presence / absence of feature (p.ex. lamp post. elec. pole. large rock) <br> MH9 Presence / absence of ditch or strong slope</p> <p>********************************* CONTACT **********************************<br> Please contact me at:</p> <p>Marion Cordonnier<br> e-mail: marion.cordonnier@hotmail.com</p> <p>*******************************************************************************<br> </p>
XRS carbon K-edge speciation mapping of an Eocene (ca. 53 Mya) ant entrapped in amber from Oise, France
<p>XRS carbon K-edge speciation mapping of an Eocene (ca. 53 Mya) ant entrapped in amber from Oise, France</p>
Statistical analysis and dataset for: Invasive ant learning is not affected by seven potential neuroactive chemicals
<p>Linked to the journal article published in Current Zoology (<a href="https://doi.org/10.1093/cz/zoad001">https://doi.org/10.1093/cz/zoad001</a>).</p> <p><em><strong>Abstract</strong></em></p> <p>Argentine ants (<em>Linepithema humile</em>) are one of the most damaging invasive alien species worldwide. Enhancing or disrupting cognitive abilities, such as learning, has the potential to improve management efforts, for example by increasing preference for a bait, or improving ants’ ability to learn its characteristics or location. Nectar-feeding insects are often the victims of psychoactive manipulation, with plants lacing their nectar with secondary metabolites such as alkaloids and non-protein amino acids which often alter learning, foraging, or recruitment. However, the effect of neuroactive chemicals has seldomly been explored in ants. Here, we test the effects of seven potential neuroactive chemicals - two alkaloids: caffeine and nicotine; two biogenic amines: dopamine and octopamine, and three non-protein amino acids: β-alanine, GABA and taurine - on the cognitive abilities of invasive <em>L. humile</em> using bifurcation mazes. Our results confirm that these ants are strong associative learners, requiring as little as one experience to develop an association. However, we show no short-term effect of any of the chemicals tested on spatial learning, and in addition no effect of caffeine on short-term olfactory learning. This lack of effect is surprising, given the extensive reports of the tested chemicals affecting learning and foraging in bees. This mismatch could be due to the heavy bias towards bees in the literature, a positive result publication bias, or differences in methodology.</p>
Metagenomic and metaproteomic insights into bacterial communities in leaf-cutter ant fungus gardens
<p>The submitted protein sequences were compiled from two of our previous studies, 1) 'Metagenomic and metaproteomic insights into bacterial communities in leaf-cutter ant fungus gardens' (doi.org/10.1038/ismej.2012.10) and 2) 'Leucoagaricus gongylophorus Produces Diverse Enzymes for the Degradation of Recalcitrant Plant Polymers in Leaf-Cutter Ant Fungus Gardens' (doi.org/10.1128/AEM.03833-12).</p>
Ant Assemblages in Hemlock Removal Experiment at Harvard Forest since 2003 (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-hfr/118/33. The abstract below was extracted from the Level 0 data package and is included for context: Ants comprise a considerable amount of animal biomass in terrestrial ecosystems and play major roles in ecological processes ranging from seed dispersal to soil turnover. Invasion by the hemlock woolly adelgid will transform late-successional hemlock forests into earlier successional mixed hardwood - white pine forests or red-maple wetlands. Understanding how ant assemblages vary in different habitat types allows for predictions of how hemlock decline could alter the composition of ant assemblages, with implications for a wide range of ecosystem processes. As part of the Hemlock Removal Experiment at the Simes Tract, we annually monitor ant species composition and abundance.
Ant Assemblages in Hemlock Removal Experiment at Harvard Forest since 2003 (Reformatted to a Darwin Core Archive)
This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/193/5, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-hfr/118/33. The abstract below was extracted from the Level 0 data package and is included for context: Ants comprise a considerable amount of animal biomass in terrestrial ecosystems and play major roles in ecological processes ranging from seed dispersal to soil turnover. Invasion by the hemlock woolly adelgid will transform late-successional hemlock forests into earlier successional mixed hardwood - white pine forests or red-maple wetlands. Understanding how ant assemblages vary in different habitat types allows for predictions of how hemlock decline could alter the composition of ant assemblages, with implications for a wide range of ecosystem processes. As part of the Hemlock Removal Experiment at the Simes Tract, we annually monitor ant species composition and abundance.
Fig. 3 in Two new ant species (Formicidae: Dorylinae, Ponerinae) from New Caledonia
Fig. 3. Comparison of the body in dorsal view of Leptogenys species of New Caledonia. A. L. acutangula Emery, 1914 (CASENT0270535). B. L. sagaris Wilson, 1958 (CASENT0270576). Images: A by Estella Ortega, B by Ryan Perry.
Fig. 17 in Taxonomy of the ant genus Nesomyrmex Wheeler (Formicidae, Myrmicinae) in the Afrotropical region, with a review of current species groups and description of a new species of the N. angulatus group from Mozambique
Fig. 17. Nesomyrmex grisoni (Forel, 1916) (CASENT0908994). A. Body in profile view. B. Body in dorsal view. C. Head in full-face view. D. Map of Africa and Madagascar showing currently known distribution.
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.