SPSS file represents responses from 516 participants gathered by a quantitative survey method. The questionnaire provided context for the study and explained why collecting this data was important. At the bottom of this section, everyone’s approval on participating in the survey and using their responses in survey results in a public setting was requested. As this survey was voluntary and anonymous, the participants had a choice not to participate in it by simply declining the request and withdrawing themselves from the survey without any consequences. After the participants gave their approvals, the following segment (Section II) was permitted to proceed. The next section asked students about their five self-related characteristics which were the independent categorical variables 1) demographic characteristics: gender, 2) socioeconomic characteristics (SES), 3) geographic characteristics: native place, 4) academic characteristics related to higher secondary academic performance (pre-college performance) 5) the psychological and behavioral characteristics. It further constituted four sub-questions related to students’ information about 5-1) the engineering major enrolled in 5-2) priority for type of curriculum delivery 5-3) the most valuable human influence, 5-4) the most effective information source. The next section encompassed Questions related to twelve ECs characteristics including proximity, location and locality, image and reputation, faculty profile, alumni profile, campus placements, quality education, infrastructure and facilities, safety and security, curriculum delivery, value for money and lastly sustainability under COVID-19 was examined. To answer these questions, students were asked to rate on a Likert scale (1 to 5), where 1 represented minimum value and 5 showed maximum value.

This file contains traits data for 235 Mediterranean nekton species. There are data on 23 traits; the data are presented in a continuous, range (minimum & maximum) or a categorical form. In the latter case, for each trait, 2-6 trait categories/modalities exist and each species has been assigned to only one modality per trait.

The Excel file has 6 worksheets:

(1) Continuous&range_235species: This worksheet contains information on the continuous traits (longevity, age-at-maturity, fecundity, maximum length, trophic level, optimal depth, optimal temperature). For traits of the range type (fecundity, depth, trophic level and temperature) the mean value is provided together with the other traits. To the right of the table the minimum and maximum of range type traits by species is presented. All 235 species, even with incomplete information (NA) on all continuous traits are presented.(2) Continuous&range_205species: This worksheet contains information on the continuous traits (longevity, age-at-maturity, fecundity, maximum length, trophic level, optimal depth, optimal temperature). For traits of the range type (fecundity, depth, trophic level and temperature) the mean value is provided together with the other traits. To the right of the table the minimum and maximum of range type traits by species is presented. Only the species with complete information (205 species) on continuous traits are presented (however, some NAs can still be found in the case of minimum or maximum if only the mean or the maximum value of the trait has been documented).(3) Categorical_23traits_235species: This worksheet is a presence/absence (1/0) matrix of 235 species by 23 traits using 81 trait categories (or modalities). All species, even with incomplete information (NA) on all 23 traits are presented.

(4) Categorical_23traits_205species: This worksheet is a presence/absence (1/0) matrix of 205 species by 23 traits using 81 trait categories (or modalities). For each trait only one modality is scored with a presence. Only the species with complete information (205 species) on all 23 traits are presented.

(5) reference_codes_per_trait: This worksheet is a matrix of the 235 species by 23 traits with one or more numbers representing a reference from which the information to fill in the trait information as data (shown in the previous worksheets) was taken.

(6) reference_list: This worksheet is a list of reference numbers and the corresponding full references.

One drawer of specimens in the Kenelm W. Philip collection, currently held at the University of Alaska Museum Insect Collection, that had obvious signs of dermestid damaged specimens was used. This drawer had exuvia of dermestid larvae, feeding detritus, and obvious holes chewed in specimens, and contained 366 dried, pinned insect specimens of various sizes and insect taxa (misc. orders, specimens thought to have been collected by Frohne or at least part of Frohne’s collection). Size measurements of each were taken from the front of the head (not including mandibles, palps, or antennae) to the end of the abdomen (not including cerci, ovipositor, etc.) using digital calipers in millimeters to the nearest one-tenth of a millimeter for specimens over 3mm and using an ocular micrometer to the nearest tenth of a millimeter using a Leica M165C stereomicroscope for specimens under 3mm. Specimens were examined under magnification using this Leica microscope for direct evidence of chew marks or holes left by dermestids. If a specimen was missing its head or abdomen the size measurement was estimated to account for the lost body part. Specimens with broken body parts but no evidence of dermestid feeding were considered not feeding damaged (specimens can become broken from a variety of non-dermestid causes). Each measurement was assigned to one of two groups: specimen feeding damaged or specimen not feeding damaged. The smallest specimens might get eaten entirely, leaving very little evidence, and thus be unavailable for measuring – possibly biasing the results towards an overabundance of specimens too large to eat entirely. The drawer had 12 pins with labels but missing specimens, ten of which were pointed specimens. To account for these potentially feeding damaged and small, but missing specimens, we added 12 randomly generated size values between 1 – 5 mm to the damaged data (generated using the R command runif(12, min=1, max=5)).

Additional file 2: Table S2. Significant results for the gene-phenotype association tests for both head body length and body mass (P value.all/robust/max 

Epifluorescent imaging of GCaMP6-s in mouse pups aged P8-P14, before and after clozapine to suppress SST cells through a GiDREADD. Control animals were injected with GCaMP6-s but not expressing the GiDREADD construct. varNames = {'file','startFrame', 'endFrame', 'meanAmplitude','Distance','Total area activated (square mm)', 'Average size of event (square mm)','Largest area in an event (square mm)','Speed', 'Deviation','Duration (seconds)','Xdist','Ydist','Unique Px Activated', 'Start v1', 'End v1', 'in v1', 'NaN', 'Mean as % FoV', 'Max as % FoV'};

Airborne data of meteorology, aerosol, and cloud properties that have been harmonized from nine field campaigns during May-September periods between 2005 and 2021 off the California coast. A consistent set of instruments were deployed on the Center for Interdisciplinary Remotely-Piloted Aircraft Studies Twin Otter for these flights. A unique aspect of the compiled data set is detailed measurements of aerosol microphysical properties (size distribution, composition, bioaerosol detection, hygroscopicity), cloud drop size distributions across a broad diameter range, different sampling inlets to distinguish between clear air aerosol and droplet residual particles in cloud, and cloud water composition. The data set is suitable for studies associated with aerosol-cloud-precipitation-meteorology-radiation interactions, especially owing to sharp aerosol perturbations from ship traffic and biomass burning. The data set can be used for model initialization and synergistic application with meteorological models and remote sensing data to improve understanding of the very interactions that comprise the largest uncertainty in the effect of anthropogenic emissions on radiative forcing.

With the increasing popularity and unparalleled ubiquity of smartphones, researchers in various fields are designing and developing novel applications for this platform as part of the solution to the challenging problems they face. Usability lies at the core of the user experience of such applications. However, the assessments used are often limited to summative and post-event methods, which can overlook subtle yet impactful issues. Objective and instantaneous measures of cognitive workloads provide a solution to this shortcoming. Our previous research has established the reliability of maximum pupil dilation, measured with Tobii Pro Nano, as a preeminent indicator of cognitive workload surges in mobile application users. In this study, we used this measure to locate user cognitive workload peaks while using Conflict Solver and discovered subtle user interface issues that were not reported in the post-usability interview. A total of 30 participants completed a Conflict Solver usability experiment with two phases. In phase 1, the participants performed two “Add a Term” tasks on the original Conflict Solver, followed by a semi-structured interview about their experience with the application. A few subtle usability issues with a drop-down menu were detected through identifying user cognitive workload peaks. In phase 2, the same participants completed the same tasks on Conflict Solver with a redesigned and extended drop-down menu. The results showed that the new design solved the usability issues, and the participants became more favor the drop-down menu over the input box. In conclusion, including maximum pupil dilation into the usability assessment toolkit would provide a more objective and comprehensive usability assessment of a smartphone application. It can also be used to verify the successfulness of a user interface design solution.

The data to produce the discussed relationships between body size and depth for individual species. The slope, standard error, p value, positive/negative, and significant/non-significant columns come from the relationship between body length and depth for individuals of the listed species. Maximum size and maximum depth come from all data on the survey. See link for fileset description.

We show that the expected value of the largest order statistic in Gaussian samples can be accurately approximated as (0.2069 ln (ln (n))+0.942)4, where n∈[2,108] is the sample size, while the standard deviation of the largest order statistic can be approximated as −0.4205arctan(0.5556[ln(ln (n))−0.9148])+0.5675. We also provide an approximation of the probability density function of the largest order statistic which in turn can be used to approximate its higher order moments. The proposed approximations are computationally efficient, and improve previous approximations of the mean and standard deviation given by Chen and Tyler (1999).

Data from Johnson & Stahlschmidt (Ecology & Evolution 2020)

Data for:Clark TD, Roche DG, Binning SA, Speers-Roesch B and Sundin J (in prep) Upper thermal limits of coral reef damselfishes are size-dependent and resilient to near-future ocean acidification Data collected by TDC, DGR, SAB, BSR and JS. Please refer to the manuscript for data collection methods and statistical analyses. For questions or to notify the authors if any errors are identified in the data, please contact Tim Clark (timothy.clark.mail@gmail.com), Dominique Roche (dominique.roche@mail.mcgill.ca), Sandra Binning (sandra.binning@mail.mcgill.ca), Ben Speers-Roesch (bspeersr@gmail.com) or Josefin Sundin (josefin@teamsundin.se).Data contained in the file "CTmax_data.txt"Metadata contained in the file "CTmax_readme.txt"Script for the analyses contained in the file "CTmax_script.R"

Label encoded and post zero-padded data from Enamine's Hit Locator Library (HLL). The pkl contains the label encoded data itself (numpy ndarray), the vocab dicts STOI and ITOS, as well as the max length of a molecule (i.e., max seq length or timesteps) in data.

A glossary of symbols and acronyms. (DOC)

Intrinsic and Extrinsic Variables data set of endemic neotropical birds, composed by body size, maximum clutch size, distribution range, diet, habitat and foraging breadths, natural proportion, Night light, Human Population and Human FootPrint.

This is an interdisciplinary data set, including longevity Indices and climate data for Japanese tree species. Please refer to Kobayashi and Akasaka (2025) Nature Ecology and Evolution for details on data collection and processing.Supplementary Data 1: Potential maximum diameter of 87 tree species.Supplementary Data 2: Life table from age 0 to the potential maximum lifespan at 1 cm diameter for 53 tree species.Supplementary Data 3: Longevity indices for 53 tree species.Supplementary Data 4: Diameter data of Carpinus laxiflora in natural forests.Supplementary Data 5: Tree monitoring data of Carpinus laxiflora across all forest types.Supplementary Code 1: R script for calculating longevity indices.Supplementary Code 2: R script for statistical analysis of the main results.

The Beagle dog (Canis lupus familiaris) plays a dual role as both a beloved family pet and an invaluable research model animal. Here, we present the first telomere-to-telomere genome assembly of the Beagle dog. The genome assembly size is 2.46 Gb with a contig N50 of 63.17 Mb, and the largest contig spans 123.45 Mb. The BUSCO completeness is 98.30%. A total of 99.92% of the contigs were anchored to 38 acrocentric autosomes and a metacentric sex chromosome. Only 13 gaps remained to be resolved, and 29 out of the 39 chromosomes are telomere-to-telomere gap-free. Two hundred and seven out of the total 447 rRNA genes were enriched on chromosome 4. Repeats comprised 34.90% of the genome, which is higher than that of other canine genomes. A total of 21,146 protein-coding genes were predicted, and 99.68% of them were functionally annotated.

BEAST xml for dating aquatic lineages of Oxalis. In this analysis, the reduced data set, removing taxa with missing data for one partition, is analysed using a rate-based approach, allowing the mean rates to vary across both partitions. The calibration used a uniform prior on both mean rates, with minimum value 0 and maximum value 0.0029 s/s/my.

This data set contains three compressed files with information on Active Faults in El Salvador. The methodology used can be found in the publication “Martínez-Díaz et al. (2020): Active Faults of El Salvador. Journal of South American Earth Sciences. https://doi.org/10.1016/j.jsames.2020.103038

-Fault Traces: This compressed file contains the traces of all active faults identified in El Salvador from geomorphological and field work data.

-Major Faults: This file contains the Shapefile format traces of the major faults interpreted in El Salvador.

-Table Faults: Table in “csv” format containing information of all fault traces that are interpreted as sections of a major faults. In some cases the major faults include only one section

Table headers:

-ID: Identification number;

-Name_Section: name of the trace interpreted as a section of a major fault; -Name_Fault: name of the major fault -Length Section (m): Length in km of the section. -Strike: Strike of the fault section. -Length Fautl: Length of the major fault -Mw1: Maximum magnitude (Mw) calculated using the empirical relationship of Stilrling et al. (2008) - Mw1=4.18+2/3logW+4/3logL (W = 5 km),

-Mw2: Maximum magnitude (Mw) calculated using the empirical relationship of Wesnousky,(2008) Mw2=5.56+0.87logL.

  p { margin-bottom: 0.25cm; line-height: 115%; background: transparent }
  a:link { color: #000080; so-language: zxx; text-decoration: underline }p { margin-bottom: 0.25cm; line-height: 115%; background: transparent }

This data set contains three compressed files with information on Active Faults in El Salvador. The methodology used can be found in the publication: “Martínez-Díaz et al. (in press): Active Faults of El Salvador. Journal of South American Earth Sciences.

-Fault Traces: This compressed file contains the traces of all active faults identified in El Salvador from geomorphological and field work data.

-Major Faults: This file contains the Shapefile format traces of the major faults interpreted in El Salvador.

-Table Faults: Table in “csv” format containing information of all fault traces that are interpreted as sections of a major faults. In some cases the major faults include only one section

Table headers: -ID: Identification number;

-Name_Section: name of the trace interpreted as a section of a major fault; -Name_Fault: name of the major fault -Length Section (m): Length in km of the section. -Strike: Strike of the fault section. -Length Fautl: Length of the major fault -Mw1: Maximum magnitude (Mw) calculated using the empirical relationship of Stilrling et al. (2008) - Mw1=4.18+2/3logW+4/3logL (W = 5 km),

-Mw2: Maximum magnitude (Mw) calculated using the empirical relationship of Wesnousky,(2008) Mw2=5.56+0.87logL.

Maximum reported cluster sizes chosen by the Gini coefficient at least once are only shown. Cells most chosen as the optimal maximum size are shaded in gray.

This spreadsheet gives the data on the number of barnacles (Semibalanus balanoides) found in ten quadrats (20 cm x 20 cm) at each of 9 intertidal elevation zones spanning the full vertical intertidal range in wave-sheltered habitats on the coast of Tor Bay Provincial Park, Nova Scotia, Canada, collected on 25 November 2018. The spreadsheet also gives the data on the basal diameter of the widest barnacle found at each quadrat.