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Data from: Sex-dependent effects of parental age on offspring fitness in a cooperatively breeding bird
<p>Parental age can have considerable effects on offspring phenotypes and health. However, intergenerational effects may also have longer-term effects on offspring fitness. Few studies have investigated parental age effects on offspring fitness in natural populations while also testing for sex- and environment-specific effects. Further, longitudinal parental age effects may be masked by population-level processes such as the selective disappearance of poor-quality individuals. Here, we used multi-generational data collected on individually marked Seychelles warblers (<em>Acrocephalus</em> <em>sechellensis</em>) to investigate the impact of maternal and paternal age on offspring lifespan and lifetime reproductive success. We found negative effects of maternal age on female offspring lifespan and lifetime reproductive success, which were driven by within-mother effects. There was no difference in annual reproductive output of females born to older versus younger mothers, suggesting that the differences in offspring lifetime reproductive success were driven by effects on offspring lifespan. In contrast, there was no association between paternal age and female offspring lifespan or either maternal or paternal age and male offspring lifespan. Lifetime reproductive success, but not annual reproductive success, of male offspring increased with maternal age, but this was driven by between-mother effects. No paternal age effects were found on female offspring's lifetime reproductive success but there was a positive between-father effect on male offspring's lifetime reproductive success. We did not find strong evidence for environment-dependent parental age effects. Our study provides evidence for parental age effects on the lifetime fitness of offspring and shows that such effects can be sex-dependent. These results add to the growing literature indicating the importance of intergenerational effects on long-term offspring performance and highlight that these effects can be an important driver of variation in longevity and fitness in the wild.</p>
Distinct chromatin signatures of DNA hypomethylation in aging and cancer (Datasets and additional files)
<p>Cancer is an aging-associated disease but the underlying molecular links between these processes are still largely unknown. Gene promoters that become hypermethylated in aging and cancer share a common chromatin signature in ES cells. In addition, there is also global DNA hypomethylation in both processes. However, any similarities of the regions where this loss of DNA methylation occurs is currently not well characterized, nor is it known whether such regions also share a common chromatin signature in aging and cancer.<strong> </strong>To address this issue we analysed TCGA DNA methylation data from a total of 2,311 samples, including control and cancer cases from patients with breast, kidney, thyroid, skin, brain and lung tumors and healthy blood, and integrated the results with histone, chromatin state and transcription factor binding site data from the NIH Roadmap Epigenomics and ENCODE projects. We identified 98,857 CpG sites differentially methylated in aging, and 286,746 in cancer. Hyper- and hypomethylated changes in both processes each had a similar genomic distribution across tissues and displayed tissue-independent alterations. The identified hypermethylated regions in aging and cancer shared a similar bivalent chromatin signature. In contrast, hypomethylated DNA sequences occurred in very different chromatin contexts. DNA hypomethylated sequences were enriched at genomic regions marked with the activating histone posttranslational modification H3K4me1 in aging, whilst in cancer, loss of DNA methylation was primarily associated with the repressive H3K9me3 mark.<strong> </strong></p>
Data and script for Andrews et al. 'A marker of biological ageing predicts risk preference in European starlings, Sturnus vulgaris'
<p>Data and script for Andrews et al. 'A marker of biological ageing predicts risk preference in European starlings, Sturnus vulgaris'. Consists: One R script and three data .csv files.</p>
FIGURE 7. Age-specific discriminant analysis using all morphometric parameters for all sites. 7A in Taxon-specific variability of leaf traits in three long-ranging fossil-species of the Paleogene and Neogene: Responses to climate?
FIGURE 7. Age-specific discriminant analysis using all morphometric parameters for all sites. 7A: Eocene. 7B: Oligocene. Triangles: Platanus neptuni. Squares: Eotrigonobalanus furcinervis. Circles: Daphnogene cinnamomifolia.
Рис. 5. Коррелограммы покаЗателей обилиЯ наЗемных моллюсков раЗных воЗрастных групп (1 – ювенильные; 2 – вЗрослые; 3 – все вместе): A – H. lucorum, участок № 1, 2010 г.; B – Ch. tridens, участок № 2, 2011 г.; C – Ch. tridens, участок № 4, 2012 г.); D – Ch. tridens, участок № 5, 2012 г. (достоверные оценки индекса Морана отмечены Залитыми Значками). Fig. 5. Spatial correlogram of the land snail different age groups abundance (1 – juvenile; 2 – adult; 3 – total): A – H. lucorum, site 1, 2010; B – Ch. tridens, site 2, 2011; C – Ch. tridens, site 4, 2012; D – Ch. tridens, site 5, 2012 (Moran index confidence value presented by filled signs). in Analysis of the spatial distribution patterns of the land snail populations: a geostatistic method approach
Рис. 5. Коррелограммы покаЗателей обилиЯ наЗемных моллюсков раЗных воЗрастных групп (1 – ювенильные; 2 – вЗрослые; 3 – все вместе): A – H. lucorum, участок № 1, 2010 г.; B – Ch. tridens, участок № 2, 2011 г.; C – Ch. tridens, участок № 4, 2012 г.); D – Ch. tridens, участок № 5, 2012 г. (достоверные оценки индекса Морана отмечены Залитыми Значками). Fig. 5. Spatial correlogram of the land snail different age groups abundance (1 – juvenile; 2 – adult; 3 – total): A – H. lucorum, site 1, 2010; B – Ch. tridens, site 2, 2011; C – Ch. tridens, site 4, 2012; D – Ch. tridens, site 5, 2012 (Moran index confidence value presented by filled signs).
Рис. 4. Коррелограммы покаЗателей обилиЯ наЗемного моллюска M. cartusiana раЗных воЗрастных групп (1 – ювенильные; 2 – вЗрослые; 3 – все вместе): A – участок № 1, 2010 г.; B – участок № 2, 2011 г.; C – участок № 4, 2012 г.); D – участок № 5, 2012 г. (достоверные оценки индекса Морана отмечены Залитыми Значками). Fig. 4. Spatial correlogram of land snail M. cartusiana age groups abundance (1 – juvenile; 2 – adult; 3 – total): A – site 1, 2010; B – site 2, 2011; C – site 4, 2012; D – site 5, 2012 (Moran index confidence value presented by filled sings). in Analysis of the spatial distribution patterns of the land snail populations: a geostatistic method approach
Рис. 4. Коррелограммы покаЗателей обилиЯ наЗемного моллюска M. cartusiana раЗных воЗрастных групп (1 – ювенильные; 2 – вЗрослые; 3 – все вместе): A – участок № 1, 2010 г.; B – участок № 2, 2011 г.; C – участок № 4, 2012 г.); D – участок № 5, 2012 г. (достоверные оценки индекса Морана отмечены Залитыми Значками). Fig. 4. Spatial correlogram of land snail M. cartusiana age groups abundance (1 – juvenile; 2 – adult; 3 – total): A – site 1, 2010; B – site 2, 2011; C – site 4, 2012; D – site 5, 2012 (Moran index confidence value presented by filled sings).
Рис. 3. Коррелограммы покаЗателей обилиЯ наЗемного моллюска B. cylindrica раЗных воЗрастных групп (1 – ювенильные; 2 – вЗрослые; 3 – все вместе): A – участок № 1, 2010 г.; B – участок № 2, 2011 г.; C – участок № 4, 2012 г.); D – участок №5, 2012 г. (достоверные оценки индекса Морана отмечены Залитыми Значками). Fig. 3. Spatial correlogram of the land snail B. cylindrica age groups abundance (1 – juvenile; 2 – adult; 3 – total): A – site 1, 2010; B – site 2, 2011; C – site 4, 2012; D – site 5, 2012 (Moran index confidence value presented by filled signs). in Analysis of the spatial distribution patterns of the land snail populations: a geostatistic method approach
Рис. 3. Коррелограммы покаЗателей обилиЯ наЗемного моллюска B. cylindrica раЗных воЗрастных групп (1 – ювенильные; 2 – вЗрослые; 3 – все вместе): A – участок № 1, 2010 г.; B – участок № 2, 2011 г.; C – участок № 4, 2012 г.); D – участок №5, 2012 г. (достоверные оценки индекса Морана отмечены Залитыми Значками). Fig. 3. Spatial correlogram of the land snail B. cylindrica age groups abundance (1 – juvenile; 2 – adult; 3 – total): A – site 1, 2010; B – site 2, 2011; C – site 4, 2012; D – site 5, 2012 (Moran index confidence value presented by filled signs).
Figure 4 in Assessing age, growth, and reproduction of Alburnus mossulensis and Acanthobrama marmid (Cyprinidae) populations in Karakaya Dam Lake (Turkey)
Figure 4. Length–weight relationship of A. mossulensis in Karakaya Dam Lake (N: number of female and male individuals).
Game Data Event Log from Age of Empire Interactions
<p><span>The event log describes players' behavior in the real-time strategy game Age of Empires. Each case describes the events that a player triggers in a game. </span><span>There are 185.094 cases that consist</span><span> of more than 18 million events. The timestamp represents the elapsed time since the start of the game.</span></p> <p><span>Each player is assigned an</span><span> Elo ranking that is higher, the better the player is. This allows us to study the implications of skill on players' behavior. Also, games can take place on different maps, influencing the situations the players find themselves in. Some games follow clear initial strategies, which are called build orders. These build orders are comparable to chess openings.</span></p> <p><span>The event log is split into ten parts to make the import feasible for smaller machines.</span></p>
Tensile tests results on artificially aged aluminum-magnesium-silicon alloy blanks subjected to different localized heat treatment strategies
<p>Tensile tests results on artificially aged aluminum-magnesium-silicon alloy blanks subjected to different localized heat treatment strategies </p>
Data from: Longitudinal gut microbiome dynamics in relation to age and senescence in a wild animal population
<p>In humans, gut microbiome (GM) differences are often correlated with, and sometimes causally implicated in, ageing. However, it is unclear how these findings translate in wild animal populations. Studies that investigate how GM dynamics change within individuals, and with declines in physiological condition, are needed to fully understand links between chronological age, senescence, and the GM, but have rarely been done. Here, we use longitudinal data collected from a closed population of Seychelles warblers (<em>Acrocephalus sechellensis</em>) to investigate how bacterial GM alpha diversity, composition, and stability are associated with host senescence. We hypothesised that GM diversity and composition will differ, and become more variable, in older adults, particularly in the terminal year prior to death, as the GM becomes increasingly dysregulated due to senescence. However, GM alpha diversity and composition remained largely invariable with respect to adult age and did not differ in an individual's terminal year. Furthermore, there was no evidence that the GM became more heterogenous in senescent age groups (individuals older than 6 years), or in the terminal year. Instead, environmental variables such as season, territory quality, and time of day, were the strongest predictors of GM variation in adult Seychelles warblers. These results contrast with studies on humans, captive animal populations, and some (but not all) studies on non-human primates, suggesting that GM deterioration may not be a universal hallmark of senescence in wild animal species. Further work is needed to disentangle the factors driving variation in GM-senescence relationships across different host taxa.</p>
Miniaturization and expansion of the contactless temperature measurement system. Facial temperatures in relation to age, pulse and gender.
<p><span>The dataset contains temperature measurements on the surface of the face taken on 109 people. Each patient (identified by Patient ID in dataset) acclimatized in a room with a temperature of 22-24 degrees Celsius. Then the person completed a survey, during which they provided their:</span></p> <ul> <li><span>age (column Survey - age [years]),</span></li> <li><span>gender (column Survey - Gender),</span></li> <li><span>temperature measurement using a pyrometer thermometer (column Survey - temperature [°C]),</span></li> <li><span>and pulse measurement using a pulse oximeter (column Survey - measured pulse [BPM]).</span></li> </ul> <p><span>After that, the examined person stood in front of the contactless temperature measurement system (using a thermal camera), which was continuously calibrated to the black body at a distance of 1.5-3 meters (column Distance between camera and patient [m]). Then, several hundred temperature measurements were taken on each person in the following ways:</span></p> <ul> <li><span>Median temperature on face [°C]</span></li> <li><span>Median temperature on face, 1% of pixels with max temperature [°C]</span></li> <li><span>Median temperature on face, 5% of pixels with max temperature [°C]</span></li> <li><span>Median temperature on face, 10% of pixels with max temperature [°C]</span></li> <li><span>Median temperature in the center of the eyes (3x3 pixels) [°C]</span></li> <li><span>Median temperature measured at the corners of the eyes (3x3 pixels) [°C]</span></li> </ul> <p><span>Additionally, the system automatically estimated:</span></p> <ul> <li><span>the age of the examined person (column Estimated Age [years]),</span></li> <li><span>the pulse of the examined person (column Estimated Pulse [BPM]),</span></li> <li><span>and gender (Estimated Gender).</span></li> </ul> <p><span>According to [1], the measured temperature on the surface of the face is influenced by the age of the measured person. As part of the project, a Binary Regression Tree was developed, which considers (estimated) age when calculating the temperature on the surface of the face (column Temperature calculated by Binary Tree Regression algorithm [°C]).</span></p> <p><span>[1] Cheung, Ming & Chan, Lung & Lauder, I & Kumana, Cyrus. (2012). Detection of body temperature with infrared thermography: accuracy in detection of fever. Hong Kong medical journal = Xianggang yi xue za zhi / Hong Kong Academy of Medicine. 18 Suppl 3. 31-4.</span></p>
Data from: Effects of age, breeding strategy, population density, and number of neighbors on territory size and shape in Savannah Sparrows
<p>The size and shape of an animal's breeding territory are dynamic features influenced by multiple intrinsic and extrinsic factors and can have important implications for survival and reproduction. Quantitative studies of variation in these territory features can generate deeper insights into animal ecology and behavior. We explored the effect of age, breeding strategy, population density, and number of neighbors on the size and shape of breeding territories in an island population of Savannah Sparrows (<em>Passerculus sandwichensis</em>). Our dataset consisted of 407 breeding territories belonging to 225 males sampled over 11 years. We compared territory sizes to the age of the male territorial holder, the male's reproductive strategy (monogamy vs. polygyny), the number of birds in the study population (population density), and the number of immediate territorial neighbors (local density). We found substantial variation in territory size, with territories ranging over two orders of magnitude from 57 to 5727 m2 (0.0057 to 0.57 ha). Older males had larger territories, polygynous males had larger territories, territories were smaller in years with higher population density, and larger territories were associated with more immediate territorial neighbors. We also found substantial variation in territory shape, from near-circular to irregularly-shaped territories. Males with more neighbors had irregularly shaped territories, but the shape did not vary with male age, breeding strategy, or population density. For males that lived two years or longer, we found strong consistent individual differences in territory size across years, but weaker individual differences in territory shape, suggesting that size has high repeatability whereas shape has low repeatability. Our work provides evidence that songbird territories are highly dynamic and that their size and shape reflect both intrinsic factors (age and number of breeding partners) and extrinsic factors (population density and number of territorial neighbors).</p>
Mean age of air anomaly derived from ACE-FTS N2O
<p>The deseasonalized mean age of air (AoA) anomaly is derived using N2O observations from ACE-FTS and simulations of N2O and AoA from CLaMS. Results are provided as a monthly zonal mean in 10 degree latitude bins and on 19 pressure levels ranging from 100 hPa to 3.162 hPa. Four different versions of the AoA are provided, each using CLaMS simulations that were forced with a different reanalysis (ERA5, MERRA-2, JRA-55, ERA-Interim). AoA based on ERA5 is available from 2004/2 to 2021/12. AoA based on the other reanalyses is available from 2004/2 to 2017/12.</p>
Mothers of twins had higher old-age survival than mothers of singletons in Estonian 19th-century birth cohorts
<p><strong><span>Study question:</span></strong><span> Do the mothers of twins and singletons differ regarding post-partum and old-age mortality?</span></p> <p><span> </span><strong><span>Summary answer:</span></strong><span> M</span><span>others of twins had twice as high post-partum mortality as mothers of singletons; survival of twinners was higher than survival of the mothers of singletons after the 67<sup>th </sup>lifespan percentile.</span></p> <p><strong><span>What is known already:</span></strong><span> Twinning is typically associated with higher post-partum maternal mortality. The evidence about whether twinning incurs long-term survival costs of reproduction or is a trait pertinent to long-lived women is scarce and contradictory.</span></p> <p><strong><span>Study design, size, duration:</span></strong><span> The study is based on the data of the Estonian Family Register (operating from 1926-43) and involves 5 565 mothers of twins and 119 613 mothers of singletons born between 1850-99. The subset for comparing maternal lifespans included 1 703 – 1 884 mothers of twins and </span><span>19 747 </span><span>– 36 690 mothers of singletons.</span></p> <p><strong><span>Participants/materials, setting, methods:</span></strong><span> Post-partum maternal mortality was analysed in the whole sample (including mothers of a single child) by logistic regression. Most of the analyses were performed in samples where each mother of twins was matched against mothers of singletons based on parity, urban versus rural origin, whether their lifespan was known, date of birth and age at first birth. Quantile regression was used to analyse age-dependent variations in maternal mortality rates. Lifespans were compared in linear mixed models. All models were adjusted for relevant biodemographic covariates.</span></p> <p><strong><span>Main results and the role of chance:</span></strong><span> The twinning rate in the whole sample was 4.4%. During the year after giving birth, maternal mortality for multiple gestations was 0.75% (17/2 273) and 0.37% (</span><span>449</span><span>/</span><span>122 750)</span><span> for single gestations (OR = 2.05, 95% CI = 1.21 – 3.23). The association between twinning and post-natal maternal mortality remained significant in a model controlling for parity and age of first and last birth. The life spans of the mothers of twins and singletons did not differ in matched samples. Past the 67<sup>th</sup> lifespan percentile, the odds of survival were significantly higher for mothers of twins than mothers of singletons, as indicated by non-overlapping 95% confidence intervals.</span></p> <p><strong><span>Limitations, reasons for caution: </span></strong><span>Relatively low number of individuals (22 802) with known age at death due to discontinuation of the register after 1943.</span></p>
Real-world comprehensive genomic and immune profiling reveals distinct age- and sex-based genomic and immune landscapes in tumors of patients with non-small cell lung cancer
<p>Wallen ZD, Ko H, Nesline MK, Hastings SB, Strickland KC, Previs RA, Zhang S, Pabla S, Conroy J, Jackson JB, Saini KS, Jensen TJ, Eisenberg M, Caveney B, Sathyan P, Severson EA, Ramkissoon SH. <strong>Real-world comprehensive genomic and immune profiling reveals distinct age- and sex-based genomic and immune landscapes in tumors of patients with non-small cell lung cancer.</strong> <em>Front Immunol.</em> 2024 Jun 21;15:1413956. doi: <a href="https://doi.org/10.3389/fimmu.2024.1413956">10.3389/fimmu.2024.1413956</a>. PMID: <a href="https://pubmed.ncbi.nlm.nih.gov/38975340/">38975340</a>; PMCID: <a href="https://pmc.ncbi.nlm.nih.gov/articles/PMC11224431/">PMC11224431</a>.</p> <p><strong>ABSTRACT</strong></p> <p>Younger patients with non-small cell lung cancer (NSCLC) (<50 years) represent a significant patient population with distinct clinicopathological features and enriched targetable genomic alterations compared to older patients. However, previous studies of younger NSCLC suffer from inconsistent findings, few studies have incorporated sex into their analyses, and studies targeting age-related differences in the tumor immune microenvironment are lacking. We performed a retrospective analysis of 8,230 patients with NSCLC, comparing genomic alterations and immunogenic markers of younger and older patients while also considering differences between male and female patients. We defined older patients as those ≥65 years and used a 5-year sliding threshold from <45 to <65 years to define various groups of younger patients. Additionally, in an independent cohort of patients with NSCLC, we use our observations to inform testing of the combinatorial effect of age and sex on survival of patients given immunotherapy with or without chemotherapy. We observed distinct genomic and immune microenvironment profiles for tumors of younger patients compared to tumors of older patients. Younger patient tumors were enriched in clinically relevant genomic alterations and had gene expression patterns indicative of reduced immune system activation, which was most evident when analyzing male patients. Further, we found younger male patients treated with immunotherapy alone had significantly worse survival compared to male patients ≥65 years, while the addition of chemotherapy reduced this disparity. Contrarily, we found younger female patients had significantly better survival compared to female patients ≥65 years when treated with immunotherapy plus chemotherapy, while treatment with immunotherapy alone resulted in similar outcomes. These results show the value of comprehensive genomic and immune profiling (CGIP) for informing clinical treatment of younger patients with NSCLC and provides support for broader coverage of CGIP for younger patients with advanced NSCLC.</p> <p><strong>DATA AVAILABILITY: </strong></p> <p>De-identified, individual-level patient data, genomic variants, and individual immune gene expression data used in the manuscript can be found in this repository (https://zenodo.org/record/11396552). An R markdown file with R code used to perform the analyses and generate figures is also provided in the repository along with the data. All versions of software used are provided in the Methods section of the manuscript. Raw sequencing data were derived from routine clinical testing of real-world patients and cannot be shared publicly. Data for immune gene expression signatures are not publicly available due to a non‑provisional patent filing covering the methods used to generate and analyze these data but are available from the corresponding author on reasonable request.</p>
Dataset of "Social Robots and Sensors for Enhanced Ageing at Home: A Focus on Mobility and Socioeconomic Factors."
<p>This dataset supports the article:</p> <p>"Social Robots and Sensors for Enhanced Aging at Home: A Focus on Mobility and Socioeconomic Factors."</p> <p>For further details see the Readme.txt file.</p>
Interview Data: Nativism, Islamophobism and Islamism in the Age of Populism dataset
<h1><strong>Interview Data</strong></h1> <h2><strong>Nativism, Islamophobism and Islamism in the Age of Populism dataset</strong></h2> <p>Transcripts of 302 interviews conducted with self-identified Muslim youth of migrant origin and native youth with affiliation or sympathy with movements labeled far-right in Belgium, France, the Netherlands, and Germany.<a title="" href="#_ftn1" name="_ftnref1">[1]</a> Local researchers conducted the interviews using the same interview guide, including 17 questions. Interviews were not audio-recorded. The researchers took notes, verifying their transcriptions with the research participant during and after the interview. Originally, the research consisted 307 interviews but five participants (1 French native; 2 German Muslims; 2 German natives) did not want their interview transcriptions to be made public on the ERC data repository site. In accordance with our ethical guidelines, we anonymized the transcripts. The dataset also includes the summary output (as an excel file) of the values analysis of the 307 interviews. Please visit the attachment named Data Summary to learn more about our method of analysis and how to use the attached documents. As a complementary file, we hope that the additional excel sheet detailing the demographic characteristics of our research participants (sex, age, educational background, etc.) helps advance researchers’ understanding of our participant profile.</p> <p> </p> <p><strong>Additional information: </strong></p> <p>302 transcription files (zipped), 2 data summary files, 2 documentation files</p> <p> </p> <p><strong>Cadmus permanent link: </strong><a href="https://hdl.handle.net/1814/76159">https://hdl.handle.net/1814/76159</a></p> <p><strong>Series/Number: </strong>EUI; RSC; Research Data; 2023</p> <p><strong>Publisher: </strong>European University Institute</p> <p><strong>Keyword(s): </strong><a href="https://cadmus.eui.eu/discover?order=desc&rpp=10&sort_by=dc.date.issued_dt&query=%22Deprivation%22">Deprivation</a>, <a href="https://cadmus.eui.eu/discover?order=desc&rpp=10&sort_by=dc.date.issued_dt&query=%22Radicalism%22">Radicalism</a>, <a href="https://cadmus.eui.eu/discover?order=desc&rpp=10&sort_by=dc.date.issued_dt&query=%22Nativism%22">Nativism</a>, <a href="https://cadmus.eui.eu/discover?order=desc&rpp=10&sort_by=dc.date.issued_dt&query=%22Populism%22">Populism</a>, <a href="https://cadmus.eui.eu/discover?order=desc&rpp=10&sort_by=dc.date.issued_dt&query=%22Islamism%22">Islamism</a></p> <p><strong>Sponsorship and Funder information: </strong></p> <p>ERC Advanced Grant research project "Nativism, Islamophobism and Islamism in the Age of Populism: Culturalisation and Religionisation of what is Social, Economic and Political in Europe" (No: 785934). The project’s details and output can also be accessed at the project website, <strong><u> https://bpy.bilgi.edu.tr/en/</u></strong></p> <div><br> <div> <p><a title="" href="#_ftnref1" name="_ftn1">[1]</a> ERC Advanced Grant research project "Nativism, Islamophobism and Islamism in the Age of Populism: Culturalisation and Religionisation of what is Social, Economic and Political in Europe" (No: 785934). The project’s details and output can also be accessed at the project website, <a href="https://bpy.bilgi.edu.tr/en/">https://bpy.bilgi.edu.tr/en/</a> .</p> </div> </div>
Fig. 2 in Reproduction of Trichospilus diatraeae (Hymenoptera: Eulophidae) in the pupae of Diaphania hyalinata (Lepidoptera: Crambidae) of various ages
Fig. 2. Trichospilus diatraeae progeny produced in Diaphania hyalinata pupae; (A) number of progeny; (B) duration of the T. diatraeae life cycle; (C) width of the T. diatraeae female head capsule; (D) width of the T. diatraeae male head capsule (mean ± SE). Measurements were made on T. diatraeae that emerged from D. hyalinata hosts parasitized as 24-, 48-, 72-, 96-, 120-, and 144-h-old pupae.
Fig. 1 in Reproduction of Trichospilus diatraeae (Hymenoptera: Eulophidae) in the pupae of Diaphania hyalinata (Lepidoptera: Crambidae) of various ages
Fig. 1. Percentage of parasitism of Diaphania hyalinata pupae and percentage of emergence of Trichospilus diatraeae progeny from D. hyalinata hosts parasitized as 24-, 48-, 72-, 96-, 120-, and 144-h-old pupae. Bars with the same uppercase or lowercase letter do not differ by the non-parametric Kruskal–Wallis test (P> 0.05).
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.