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1,625 results for “workers”
Offering ART refill through community health workers versus clinic-based follow-up after home-based same-day ART initiation in rural Lesotho: The VIBRA cluster-randomised clinical trial
<p>These are pseudo-anonymised data from the VIBRA randomized trial: "Offering ART refill through community health workers versus clinic-based follow-up after home-based same-day ART initiation in rural Lesotho: The VIBRA cluster-randomised clinical trial". The data dictionary explains the data available in the dataset. Between August 2018 and May 2019, 257 eligible individuals from 117 consenting villages were enrolled from two districts of Lesotho, and followed up for a maximum of 15 months. The protocol was published, doi: 10.1186/s13063-019-3510-5</p>
Holly Church of Saint Spyridon. Saint Spyridon the Miracle-worker and Keeper of Corfu City. Old Town of Corfu. Greece. Bell tower at night (en). Ιερός Ναός Αγίου Σπυρίδωνα. Άγιος Σπυρίδων ο Θαυματουργός και Πολιούχος της Πόλης της Κέρκυρας. Παλαιά Πόλη της Κέρκυρας. Ελλάδα. Κωδονοστάσιο τη νύχτα (ελ). Ierós Naós Agíou Spyrídōna. Ágios Spyrídōn o Thaumatourgós kai Polioúchos tēs Pólēs tēs Kérkyras. Palaiá Pólē tēs Kérkyras. Elláda. Kōdonostásio tē nýchta (el).
<p>Holly Church of Saint Spyridon.</p> <p>Saint Spyridon the Miracle-worker and Keeper of Corfu City.</p> <p>Old Town of Corfu.</p> <p>Greece.</p> <p>Bell tower at night </p>
Implications of Socio-Economic Conditions on Common Mental Disorders: A Case-study of Salt Pan Workers in Marakkanam Block of Tamil Nadu
<p>Socio-economic indicators of Saltpan workers in Marakaanam, Tamil Nadu, India and their SRQ-20 scoring.</p><p>Data regarding; Consumption, Wages, Debt, Social Group, Gender, Age, Ration Card, Education, Distance from work(saltpan), ownership of house and the SRQ-20 Questionanaire used for Screening of CMDs and Distress levels </p>
Occasional and constant exposure to dietary ethanol shortens the lifespan of worker honey bees
<p><span>Honey bees (<em>Apis mellifera</em>) are one of the most crucial pollinators, providing vital ecosystem services. Their development and functioning depend on essential nutrients and substances found in the environment. While collecting nectar as a vital carbohydrate source, bees routinely encounter low doses of ethanol from yeast fermentation. Yet, the effects of repeated ethanol exposure on bees' survival and physiology remain poorly understood. Here, we investigate the impacts of constant and occasional consumption of food spiked with 1% ethanol on honey bee mortality and alcohol dehydrogenase (ADH) activity. This ethanol concentration might be tentatively judged close to that in natural conditions. We conducted an experiment in which bees were exposed to three types of long-term diets: constant sugar solution (control group that simulated conditions of no access to ethanol), sugar solution spiked with ethanol every third day (that simulated occasional, infrequent exposure to ethanol) and daily ethanol consumption (simulating constant, routine exposure to ethanol). The results revealed that both constant and occasional ethanol consumption increased the mortality of bees, but only after several days. These mortality rates rose with the frequency of ethanol intake. The ADH activity remained similar in bees from all groups. Our findings indicate that exposure of bees to ethanol carries harmful effects that accumulate over time. Further research is needed to pinpoint the exact ethanol doses ingested with food and exposure frequency in bees in natural conditions.</span></p>
Data for: Crall et al., Spatial fidelity of workers predicts collective response to disturbance in a social insect
<p>Dataset for: Crall et al., Spatial fidelity of workers predicts collective response to disturbance in a social insect, in final revision for Nature Communications.</p> <p>Includes two files - one behavioral data from uniquely identified worker bumblebees, and the second containing metadata for the colonies from which these data were generated (including experimental treatments, locations, sizes, etc.).</p>
Cuckoo male bumblebees perform slower and longer flower visits than free-living male and worker bumblebees
<p>These .txt files include the dataset (tab-separated) and the annotated R-scripts (R-scripts_R1 is the final version) used in the analyses reported in the preprint "Cuckoo male bumblebees perform slower and longer flower visits than free-living male and worker bumblebees".</p> <p>The preprint is available on Zenodo (<a href="https://doi.org/10.5281/zenodo.4489066">https://doi.org/10.5281/zenodo.4489066</a>) and has been recommended by PCI Zoology (<a href="http://zool.peercommunityin.org/articles/rec?id=44">https://zool.peercommunityin.org/articles/rec?id=44</a>). The article has then been published in the Belgian Journal of Zoology (2021, 151:193:203, <a href="https://belgianjournalofzoology.eu/index.php/BJZ/article/view/93">https://doi.org/10.26496/bjz.2021.93</a>)</p> <p> </p>
Dataset: Health worker compliance with severe malaria treatment guidelines in the context of implementing pre-referral rectal artesunate in the Democratic Republic of the Congo, Nigeria and Uganda: an operational study
<p>Dataset underlying the publication "<strong>Health worker compliance with severe malaria treatment guidelines in the context of implementing pre-referral rectal artesunate in the Democratic Republic of the Congo, Nigeria and Uganda: an operational study</strong>" (Plos Medicine)</p> <p>Data originating from the Community Access to Rectal Artesunate for Malaria (CARAMAL) Project, 2018-2021.</p> <p>Analysis of health workers' compliance with the treatment guidelines for severe malaria in the context of rolling out pre-referral rectal artesunate (RAS) in the Democratic Republic of the Congo, Nigeria and Uganda. Details provided in the publication.</p>
Changing social contact patterns among US workers during the COVID-19 pandemic: April 2020 to December 2021
<p>These are data from the CorporateMix US study rounds 1-4. Below is a description of the files:</p> <p>1. participants: this contains a list of all the study participants for each round. EaA unique participant identified by the participant_id and round.</p> <p>2. contacts: this contains the individuals with whom a participant had a contact.</p> <p>3.df_all: this is generated by merging the participant and contacts dataframes using the participant_id and round as primary keys.</p> <p>4. day_rd1: this is data for round 1 day of survey. The survey design for round 1 was different, so these data are important to distinguish between day 1 and day 2 contacts.</p>
Spanish Workers' Statute Legal Relations and RDF
<p>These datasets result from extracting legal events and relationships from the Spanish Workers' Statutes and structuring the extracted data in an RDF graph. After a set of experiments conducted with GPT-3.5 using scarce annotated data from previous works <a href="http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6432">[1]</a>, a 5-shot learning approach was applied to the full text of the Spanish Workers’ Statute. Approximately 1500 relations were extracted in a JSON format, structured into a dataset, and represented in an RDF graph.</p>
Data of the INFORMS Journal on Computing paper: Routing replenishment workers: The prize collecting traveling salesman problem in scattered storage warehouses
<p>In what follows, you will find data of the paper:<br> "Routing replenishment workers: The prize collecting traveling salesman problem in scattered storage warehouses" published in INFORMS Journal on Computing</p> <p>List of files:<br> - Computational_results_BB_NN_RW_CPLEX.xlsx: Excel file that gives all results<br> - instance_gen.cc: Instance generator<br> - instances.zip: compressed file of all instances that are sorted by Sections. It additionally includes the generator<br> - Makefile: Makefile for compiling/debugging, i.e., "make all" or "make debug" do the jobs<br> - MersenneTwister.h: needed by schedule_finder.cc<br> - results_Section_5_1.zip: compressed file of all output files of Section 5.1<br> - results_Section_5_2.zip: compressed file of all output files of Section 5.2<br> - results_Section_5_3.zip: compressed file of all output files of Section 5.3<br> - schedule_finder.cc: Main program containing the B&B, the S-shape, and Nearest Neighbor procedure (see details for customizing the parameters at the top of this file)<br> - valgrind_debug.txt: Only contains the used debug command</p> <p>instances/instance_gen.cc generates a problem instance in file problems.txt<br> The structure of the these problem files is the following:<br> /*<br> NE Total number of experiments given by the currently considered file<br> -2 Separator<br> EXPGRP Index of the current experiment group the current experiment belong to<br> N Number of vacant positions in the warehouse<br> M Number of requests to be stored by the tour<br> P Number of pickers to be scheduled in the warehouse<br> A Number of vertical aisles<br> B Number of horizontal (cross) aisles<br> L_A Length of each vertical aisle<br> L_B Length of each cross aisle<br> UF_VA Up-factor of each vertical aisle (A values)<br> DF_VA Down- factor of each vertical aisle (A values)<br> UF_CA Up-factor of each cross aisle (B values)<br> DF_CA Down- factor of each cross aisle (B values)<br> x_pos_vertical_aisle x-position of vertical aisle (A values)<br> y_pos_cross_aisle y-position of cross aisle (B values)<br> warehouse_graph values For each node of the warehouse graph all entries (15 each) are given (total_number_of_warehouse_graph_nodes*15)<br> FS << warehouse_graph[curr_node].free_position << " " << endl;<br> FS << warehouse_graph[curr_node].depot_node << " " << endl;<br> FS << warehouse_graph[curr_node].vertical_aisle << " " << endl;<br> FS << warehouse_graph[curr_node].cross_aisle << " " << endl;<br> FS << warehouse_graph[curr_node].pred_cross_aisle << " " << endl;<br> FS << warehouse_graph[curr_node].succ_cross_aisle << " " << endl;<br> FS << warehouse_graph[curr_node].pred_vertical_aisle << " " << endl;<br> FS << warehouse_graph[curr_node].succ_vertical_aisle << " " << endl;<br> FS << warehouse_graph[curr_node].pred_cross_aisle_dist << " " << endl;<br> FS << warehouse_graph[curr_node].succ_cross_aisle_dist << " " << endl;<br> FS << warehouse_graph[curr_node].pred_vertical_aisle_dist << " " << endl;<br> FS << warehouse_graph[curr_node].succ_vertical_aisle_dist << " " << endl;<br> FS << warehouse_graph[curr_node].region << " " << endl;<br> FS << warehouse_graph[curr_node].x_position << " " << endl;<br> FS << warehouse_graph[curr_node].y_position << " " << endl;<br> shortest_path_distance For each combination of nodes (i.e., for total_number_of_warehouse_graph_nodes_square combinations) the distance<br> shortest_path_length_including_start_and_end For each combination of nodes (i.e., for total_number_of_warehouse_graph_nodes_square combinations) the number of visited nodes<br> shortest_path_visited_nodes For each combination of nodes (i.e., for total_number_of_warehouse_graph_nodes_square combinations) the detailed path (length is respectively given by shortest_path_length_including_start_and_end)<br> dd_free_position For each free position and the depot (here with index N) the due date is transferred (N+1 values) (only relevant for the extended problem, is ignored here)<br> weight_of_free_position For each free position and the depot (here with index N) the weight is transferred (N+1 values) (only relevant for the extended problem, is ignored here)<br> capacity_of_free_position For each free position the storage capacity transferred (N values)<br> -2 Separator indicating the end of an instances<br> -3 Separator indicating the end of all experiments (i.e., indicating the end of the file)<br> */</p> <p>output files (results_Section_5_1.zip/results_Section_5_2.zip/results_Section_5_3.zip):<br> results_BB_NXXX_MYYY_A10_B05: Output file of applying B&B<br> results_RW_NXXX_MYYY_A10_B05: Output file of applying s-shape random walk<br> results_NN_NXXX_MYYY_A10_B05: Output file of applying nearest neighbor</p> <p>In these files you find all outputs of schedule_finder.cc. <br> Among others, you will find the generated tour schedules (for Experiment with index I) in the output files by searching the phrase: "Experiment I completed with result="<br> or for the next Experiment " completed with result="</p> <p>Example (results_BB_N030_M150_A10_B05.txt, experiment 0, the tardiness values are to be ignored, see comments in schedule_finder.cc)<br> Pos 0 depot node with index 80 Number of stored items 0 CT 0 No tardiness<br> Pos 1 position 27 Number of stored items 4 Current accumulated number of stored items 4 CT 163 DD 5629 No additional tardiness<br> Pos 2 position 28 Number of stored items 5 Current accumulated number of stored items 9 CT 399 DD 2962 No additional tardiness<br> Pos 3 position 29 Number of stored items 4 Current accumulated number of stored items 13 CT 670 DD 12631 No additional tardiness<br> Pos 4 position 26 Number of stored items 5 Current accumulated number of stored items 18 CT 840 DD 10142 No additional tardiness<br> Pos 5 position 23 Number of stored items 7 Current accumulated number of stored items 25 CT 1134 DD 6000 No additional tardiness<br> Pos 6 position 22 Number of stored items 4 Current accumulated number of stored items 29 CT 1170 DD 6396 No additional tardiness<br> Pos 7 position 16 Number of stored items 5 Current accumulated number of stored items 34 CT 1448 DD 8962 No additional tardiness<br> Pos 8 position 11 Number of stored items 10 Current accumulated number of stored items 44 CT 1674 DD 6336 No additional tardiness<br> Pos 9 position 0 Number of stored items 10 Current accumulated number of stored items 54 CT 2062 DD 1141 Additional tardiness 921<br> Pos 10 position 2 Number of stored items 9 Current accumulated number of stored items 63 CT 2201 DD 7742 No additional tardiness<br> Pos 11 position 4 Number of stored items 5 Current accumulated number of stored items 68 CT 2407 DD 4846 No additional tardiness<br> Pos 12 position 3 Number of stored items 5 Current accumulated number of stored items 73 CT 2717 DD 2316 Additional tardiness 401<br> Pos 13 position 1 Number of stored items 8 Current accumulated number of stored items 81 CT 2876 DD 9917 No additional tardiness<br> Pos 14 position 6 Number of stored items 3 Current accumulated number of stored items 84 CT 3073 DD 7299 No additional tardiness<br> Pos 15 position 5 Number of stored items 8 Current accumulated number of stored items 92 CT 3144 DD 6152 No additional tardiness<br> Pos 16 position 8 Number of stored items 6 Current accumulated number of stored items 98 CT 3337 DD 3705 No additional tardiness<br> Pos 17 position 12 Number of stored items 9 Current accumulated number of stored items 107 CT 3452 DD 7622 No additional tardiness<br> Pos 18 position 13 Number of stored items 4 Current accumulated number of stored items 111 CT 3522 DD 7833 No additional tardiness<br> Pos 19 position 14 Number of stored items 5 Current accumulated number of stored items 116 CT 3647 DD 9877 No additional tardiness<br> Pos 20 position 19 Number of stored items 1 Current accumulated number of stored items 117 CT 3922 DD 2905 Additional tardiness 1017<br> Pos 21 position 20 Number of stored items 5 Current accumulated number of stored items 122 CT 3923 DD 2538 Additional tardiness 1385<br> Pos 22 position 21 Number of stored items 7 Current accumulated number of stored items 129 CT 3976 DD 2769 Additional tardiness 1207<br> Pos 23 position 18 Number of stored items 10 Current accumulated number of stored items 139 CT 4173 DD 3552 Additional tardiness 621<br> Pos 24 position 25 Number of stored items 4 Current accumulated number of stored items 143 CT 4482 DD 11710 No additional tardiness<br> Pos 25 position 24 Number of stored items 7 Current accumulated number of stored items 150 CT 4509 DD 10599 No additional tardiness<br> Pos 26 visiting the node with index 80 Number of stored items 0 CT 4710 DD 10893 No additional tardiness<br> opt_makespan=4710 opt_total_tardiness=5552<br> TSP_procedure returned value 4710<br> Experiment 0 completed with result=3<br> BFS Branch&Bound report: Consumed time: 1</p> <p>Copied from schedule_finder.cc:<br> Note that the procedure used as a solution procedure in the paper is int TSP_procedure(struct bb_node *curr_bb_node, int version)</p> <p>It is called by BB_procedure() as a subroutine for computing a lower bound value of an extended problem<br> (for instance, this extended problem additionally covers due dates. Therefore, due dates are also part of the problem instances, but can be ignored)<br> Specifically, TSP_procedure(struct bb_node *curr_bb_node, int version) is called once by lb_computation()</p>
Foreign workers share in European Union 2018
<p>This is to display Eurostat data about the employed recent immigrants by origin: E.U or not EU. This brings to mind the factors identified in the literature regarding the decision to migrate, such as language, cultural ties, distance, wage levels, quality of life, and how immigrant communities are formed in Europe. </p>
Data to Richter et al. 2020 Comparative analysis of worker head anatomy of Formica and Brachyponera (Hymenoptera: Formicidae) in Arthropod Systematics & Phylogeny
<p>This dataset contains the ant head µCT-Sanning Datasets used for the article "Comparative analysis of worker head anatomy of <em>Formica</em> and <em>Brachyponera</em> (Hymenoptera: Formicidae)" by Richter et al. published in <em>Arthropod Systematics & Phylogeny </em>2020. In addition, the image plates from that article (in highest resolution as TIF files) and a series of supplementary 3D-volume render video files are deposited.</p> <p>The datasets for CASENT0709409, CASENT0709411 and CASENT0790267 are deposited as they were used in this study (with transformation to adjust the orientation of the ant head to the global axes and cropped to reduce file size) while CASENT0709419 is deposited as the original scanning result as it was not modified for the work in this article.</p> <p>Scanning details can be found in the materials and methods section of the article. Scanning parameters were as follows:</p> <p>Power (W): 3W all specimens</p> <p>Voltage (kV): 40kV all specimens</p> <p>Voxel Size: CASENT0709409: 1,1557 µm<sup>3</sup>; CASENT0709419: 1,2244 µm<sup>3</sup>; CASENT0709411: 2,5527µm<sup>3 </sup>; CASENT0790267: 2,8337 µm<sup>3</sup> </p> <p>Exposure Time (s): CASENT0709409: 25 s; CASENT0709419: 15 s; CASENT0709411: 7 s<sup> </sup>; CASENT0790267: 5 s</p> <p>Source Distance (mm): CASENT0709409: -9,5038 mm; CASENT0709419: -9,5321 mm; CASENT0709411: 10,038 mm<sup> </sup>; CASENT0790267: 13,0037 mm</p> <p>Detector Distance (mm): CASENT0709409: 46 mm; CASENT0709419: 43,0166 mm; CASENT0709411: 16,5043 mm<sup> </sup>; CASENT0790267: 18,0015 mm</p>
Symptoms in health care workers during the COVID-19 epidemic. A cross-sectional survey.
<p>data collected during the COVID-19 epidemics on workers of the Health Care Unit Roma4, Civitavecchia. Paper submitted.</p>
FIGURE 3. Bothriomyrmex paradoxus worker. a. Lateral view. b. Mandible. c. Petiole. d in A new species of the genus Bothriomyrmex Emery, 1869 (Hymenoptera: Formicidae: Dolichoderinae) from Costa Rica
FIGURE 3. Bothriomyrmex paradoxus worker. a. Lateral view. b. Mandible. c. Petiole. d. Mouthparts and anterior head capsule, ventral view. b, c, d not to scale.
State Comparison of Peer Recovery Worker Wages with Living Wages
<p>ZipRecruiter provides real time data on wage offers by state. I compared mean wage offers with the Glasmeier's Living Wage Calculator. Because ZipRecruiter data are real time wage offers, they can change from month to month, I archived the state wage offer data from November 30, 2023. These data are entered into an Excel spreadsheet for comparisons with living wages. Because the living wage data in the 2023 calculator are based on 2022 dollars, I inflated living wages to 2022 dollars based on the rise in prices from mid-year 2022 to mid-year 2023. </p>
Solitary foundation or colony fission in ants: an intraspecific study shows that worker presence and number increase colony foundation success
<p>Datasets for the paper published in Oecologia entitled "Solitary foundation or colony fission in ants: an intraspecific study shows that worker presence and number increase colony foundation success"</p> <p>Script_article.R : R code to analyze the data</p> <p>Data.txt : Growth data</p> <p>donnees_survie.txt : Survival data</p> <p>donnees_presence_nid.txt : Data of the presence of queens in the nest</p>
Data for "Long-term disgust habituation with limited generalisation in care home workers"
<p>Anonymised data for the manuscript "Long-term disgust habituation with limited generalisation in care home workers". For use with scripts in the linked GitHub repository.</p>
Feeding with plant powders increases longevity and body weight of Western honeybee workers (Apis mellifera)
<p>Beekeepers routinely substitute honey from managed western honeybees, <em>Apis mellifera</em>, colonies with sugar water post-harvest, potentially leading to malnutrition. Although nutritional supplements have been created, a general consensus on proper colony nutrition for beekeeping has yet to be reached. Thus, finding easily obtainable fortified <em>A. mellifera</em> food alternatives is still of interest. Here, we test plant powder-enriched food supplements since <em>a priori</em> evidence suggests plant extracts can enhance dry body weight and longevity of workers. Freshly emerged workers were kept in hoarding cages (N=69 days) and fed either with 50 % (w/v) sucrose solution alone or additionally with one of 12 powders: <em>Laurus nobilis, Quercus </em>spp<em>., Curcuma longa, Hypericum </em>spp<em>., Spirulina platensis, Calendula officinalis, Chlorella vulgaris, Melissa officinalis, Moringa oleifera, Rosa canina, Trigonella foenum-graecum, </em>and<em> Urtica dioica </em>(N=2028 workers total). The dry body weight was significantly increased in <em>Quercus</em> spp., <em>Hypericum</em> spp., <em>Spirunlina platensis, Mellisa officinalis, Moringa oelifera</em>, and <em>Trigonella foenum-graecum</em> treatments. Further, the longevity was significantly increased in <em>Quercus </em>spp., <em>Curcuma longa, Calendulae officinalis, Chlorella vulgaris, Melissa officinalis, Rosa canina, Trigonella foenum-graecum, </em>and<em> Urtica diocia</em> treatments<em>.</em> Given that plant extracts can enhance <em>A. mellifera</em> health, plant powders possibly provide additional macro- (i.e. proteins, lipids, peptides) and micronutrients (minerals and vitamins) thereby enhancing nutrient availability. Further investigations into the mechanisms underlying these effects and field studies are recommended to validate these findings in real-hive scenarios.</p>
The more the better: Fatty acids are predictive markers of honey bee, Apis mellifera, worker longevity
<p>Fatty acids (FA), stemming from nutrition, form triglycerides that are key components for insect energy reserves. In managed <em>Apis mellifera</em> colonies, supplementary feeding is common practice, yet micronutrients and microbiota (i.e. B-vitamins and probiotics) are often neglected. Given that B-vitamins are obligate cofactors for FA metabolism, and probiotics likely play key roles as well (i.e. <em>Lactobacillus</em> spp. synthesize B-vitamins), understanding how they contribute to FA acquisition remains unknown. Indeed, FAs are established predictors to <em>A. mellifera</em> longevity, and as such, are a logical point of interest in long-lived "winter" bees, where <em>A. mellifera</em> colony losses typically occur. Here, in a hoarding cage trial, freshly emerged adult winter workers were exposed to antibiotics (ABX) to decouple innate benefits associated to native gut microbiota, or left unexposed to ABX (N=72 cages, N=2088 experimental workers). Subsequently, all workers were fed different diets containing either probiotics, B-vitamins, with replicate treatments given <em>ad libitum</em> access to pollen (mimicking real-hive scenarios) or left blank (control). At the end of the trial, a subsample (n=356) had their total FA contents analyzed using <u>G</u>as <u>C</u>hromatography coupled to <u>F</u>lame <u>I</u>onization <u>D</u>etector (GC-FID). Irrespective of dietary treatment, every worker contained all 11 identified FAs, aligning our results with <em>a priori</em> evidence and highlighting their underlying key roles for bee physiology and health. We show for the first time that B-vitamins alone did not improve the overall abundance of individual FAs (g), yet significant differences were associated with presence/absence of bacteria and/or access to pollen, reconfirming likely ties of microbiota aiding in nutrient breakdown of complex polysaccharides found in pollen. Finally, of clear importance, there was a positive significant correlation between total lipid content and worker longevity (+2.4 median day lifespan increase / mg of FA), thereby confirming the relevance of FAs for honey bee worker longevity.</p>
Data from: Stingless bee foragers experience more thermally stressful microclimates but have wider thermal tolerance breadths than other worker subcastes
<p>The current state of anthropogenic climate change is of particular concern for insects, especially in the tropics where the effects are predicted to be the most deleterious. Researching climatic tolerance in social insects is challenging because adaptations can exist at both an individual level and a societal level. However, these studies are important because social insects comprise a tremendous portion of the planet's animal biomass, biodiversity, and include many important pollinators. Considering how individual physiologies construct group-level adaptations can improve the accuracy of climate change impact assessments for a variety of social species. <em>Tetragonisca angustula</em> is a neotropical stingless bee species known to exhibit particularly high worker subcaste specialization in the form of a morphologically distinct soldier caste, a trait most commonly found and studied in ants and termites. We used this model species to investigate 1) whether age- and size-differentiated task groups differ in thermal tolerance, 2) which worker subcastes operate closest to their thermal limits, and 3) the extent to which behavioral thermoregulation via shifting active foraging times can offset thermal stress in this species. We measured the thermal tolerance (CT<sub>max</sub> and CT<sub>min</sub>) of smaller-bodied foragers, and two soldier sub-castes (hovering guards and standing guards) in <em>T. angustula</em>. Despite the difference in body size between the foragers and guards, no differences in the upper or lower thermal limits were observed. However, the average thermal tolerance breadth of foragers was significantly larger than that of guards, indicating that soldiers at the nest entrance are more thermally specialized than foragers. Temperatures at foraging sites were more variable than at nest entrances, which caused warming tolerance to be significantly lower among small-bodied foragers as compared to either hovering guards or standing guards. The magnitude of warming tolerances indicated a low risk of imminent climate change impacts in this environment, but our results suggest that as temperatures increase, foragers are likely to meet their upper thermal limits before other worker subcastes. Foragers may shift the times they are active as a form of thermoregulation which could selectively impact pollination rates for plants leading to repercussions on agriculture and ecosystem functioning. This work establishes novel approaches to predicting climatic change risk in heterogeneous cooperative societies.</p>
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.