Find research datasets worth reusing

opencc-by-4.0Apr 2022View details →

Replication Package of Understanding Developers Well-Being and Productivity: a 2-year Longitudinal Analysis during the COVID-19 Pandemic

The COVID-19 pandemic has brought significant and enduring shifts in various aspects of life, including increased flexibility in work arrangements. In a longitudinal study, spanning 24 months with six measurement points from April 2020 to April 2022, we explore changes in well-being, productivity, social contacts, and needs of software engineers during this time. Our findings indicate systematic changes in various variables. For example, well-being and quality of social contacts increased while emotional loneliness decreased as lockdown measures were relaxed. Conversely, people's boredom and productivity, remained stable. Furthermore, a preliminary investigation into the future of work at the end of the pandemic revealed a consensus among developers for a preference of hybrid work arrangements. We also discovered that prior job changes and low job satisfaction were consistently linked to intentions to change jobs if current work conditions do not meet developers' needs. This highlights the need for software organizations to adapt to various work arrangements to remain competitive employers. Building upon our findings and the existing literature, we introduce the Integrated Job Demands-Resources and Self-Determination (IJARS) Model as a comprehensive framework to explain the well-being and productivity of software engineers during the COVID-19 pandemic.

opencc-by-4.0Mar 2024View details →

Data for "Leveraging a Disdrometer Network to Develop a Probabilistic Precipitation Phase Model in Eastern Canada"

<a name="_Toc157072893"></a>Abstract. This study presents a probabilistic model that partitions the precipitation phase based on hourly measurements from a network of radar-based disdrometers in eastern Canada. The network consists of 27 meteorological stations located in a boreal climate for the years 2020-2023. Precipitation phase observations showed a 2-m air temperature interval between 0-4°C where probabilities of occurrence of solid, liquid, or mixed precipitation significantly overlapped. Single-phase precipitation was also found to occur more frequently than mixed-phase precipitation. Probabilistic phase-guided partitioning (PGP) models of increasing complexity using random forest algorithms were developed. The PGP models classified the precipitation phase and partitioned the precipitation accordingly into solid and liquid amounts. PGP_basic is based on 2-m air temperature and site elevation, while PGP_hydromet integrates relative humidity. PGP_full includes all the above data plus atmospheric reanalysis data. The PGP models were compared to benchmark precipitation phase partitioning methods. These included a single temperature threshold model set at 1.5°C, a linear transition model with dual temperature thresholds of –0.38 and 5°C, and a psychrometric balance model. Among the benchmark models, the single temperature threshold had the best classification performance due to a low count of mixed-phase events. The other benchmark models tended to over-predict mixed-phase precipitation in order to decrease partitioning error. All PGP models showed significant phase classification improvement by reproducing the observed overlapping precipitation phases based on 2-m air temperature. In terms of partitioning error, PGP_full had the lowest RMSE and the least variability in performance. The RMSE of the single temperature threshold model was the highest and showed the greatest performance variability. The improvement of mixed-phase prediction remains a challenge. This study establishes a basis for integrating automated phase observations into a hydrometeorological observation network and developing probabilistic precipitation phase models.

opencc-by-4.0Feb 2022View details →

Organizing the fragmented landscape of multidisciplinary product development: A mapping of approaches, processes, methods and tools from the scientific literature - Searchable cartographies

This document gathers cartographies for the development of mechatronic products, cyber-physical systems and smart products. The three cartographies presented are associated with an open-access article – see the citation box below – and differ from the ones provided in the article in that they are searchable, which makes it easier to pinpoint references, concepts and techniques. This document comprises a legend, the cartographies and a list of associated references.  To contextualize the cartographies, the integration of digital and connectivity technologies in new products can invite companies to adapt their development. Organizing the fragmented landscape of multidisciplinary product development to help companies navigate the dense scientific literature corpus is a first step in supporting them in doing so. Multidisciplinary product development can be investigated by analyzing specific types of products that deal with both software and hardware development and can be referred to as cyber-physical systems, mechatronics, and smart products and systems in the literature. To support their development, 236 “concepts and techniques” (an expression that encompasses approaches, processes, methods and tools) were identified from 167 scientific papers through an extensive literature review and organized based on a four-level model paired with a decision tree. The mapping of the sorted concepts and techniques made it possible to generate graphical representations called “cartographies.” These cartographies represent a database of concepts and techniques for multidisciplinary product development and serve to support companies in their transformation from the product development perspective by providing them with a general overview of the related literature.

opencc-by-4.0Jul 2023View details →

Figure 2 in Development and life table parameters of the Phytoseius corniger Wainstein (Acari: Phytoseiidae) feeding on the two-spotted spider mite, Tetranychus urticae Koch (Acari: Tetranychidae) under laboratory conditions

Figure 2. The age-specific survival rate (lx), and fecundity (mx) of Phytoseius corniger fed on Tetranychus urticae under laboratory conditions (25 ± 2 °C, 55 ± 5% of RH, and 16L: 8D h photoperiod).

opencc-by-4.0Jul 2023View details →

Figure 1 in Development and life table parameters of the Phytoseius corniger Wainstein (Acari: Phytoseiidae) feeding on the two-spotted spider mite, Tetranychus urticae Koch (Acari: Tetranychidae) under laboratory conditions

Figure 1. Age-stage specific survival rate (sjx) of the parent cohort of bisexual Phytoseius corniger fed on Tetranychus urticae under laboratory conditions (25 ± 2 °C, 55 ± 5% of RH, and 16L: 8D h photoperiod). Note: L stands for larva, N1 for protonymph, and N2 for deutonymph, respectively.

opencc-by-4.0Mar 2024View details →

Zebra finch dataset for the paper: Benchmarking nearest neighbor retrieval of zebra finch vocalizations across development

This is the dataset created in the paper "Benchmarking nearest neighbor retrieval of zebra finch vocalizations across development".

opencc-by-4.0Mar 2024View details →

Dataset for "Permeability development during fault growth and slip in granite"

This is a dataset accompanying the publication entitled "Permeability development during fault growth and slip in granite" by F.M. Aben, A. Farsi, and N. Brantut (submitted). The dataset contains the data acquired during three rock deformation experiments (sample numbers WGMS2, WGMS3, WGMS4) on Westerly granite, and is comprised of: <ul> <li>Notes of the experiments</li> <li>Mechanical data in .txt files, where the header indicates what the column's values are. The experiment name and phase are contained in the file names. </li> <li>Processed ultrasonic data in .jld2 format for experiment WGMS4</li> </ul>

opencc-by-4.0Dec 2019View details →

Figure 4. Longitudinal section through I4 and transverse section through smaller I3. e in Microscopic analysis of the developing dentition in the pouch young of the extinct marsupial Thylacinus cynocephalus, with an assessment of other developmental stages and eruption

Figure 4. Longitudinal section through I4 and transverse section through smaller I3. e, disrupted enamel.

opencc-by-sa-4.0Apr 2024View details →

Spatiotemporally distinct responses to mechanical forces shape the developing seed of Arabidopsis

Source Data File related to the manuscript: <a name="_Hlk141697088"></a>  Spatiotemporally distinct responses to mechanical forces shape the developing seed of Arabidopsis   See Description Dataset file for full description

FIGURE 3 in Body shape and robustness response to water flow during development of brown trout Salmo trutta parr

FIGURE 3 Mass–standard length (M–LS) relationships (MLR) determined for exercised () and control () Salmo trutta cohorts over 0–32 weeks from treatment initiation. Each cohort included LS00 individuals (n = 6) as a common origin

FIGURE 1 in Body shape and robustness response to water flow during development of brown trout Salmo trutta parr

FIGURE 1 (a) Landmark positions () on Salmo trutta parr that were digitised twice and then averaged to minimize measurement error. (b) Shape changes associated with principal components (PCs) 1–3. PCs were derived from a between-group PC analysis of Procrustes superimposed landmarks., Consensus shape with numbered landmark positions;, Shape changes associated with each PC. Shape changes are scaled to observed PC scores: Left hand side shape changes (back outlines) are scaled to the minimum value observed across the sample on each respective PC (shown below the image) and right hand side shape changes (black outlines) are scaled to the maximum value observed across the sample on each respective PC. PC1 describes a change in head size, PC2 describes dorso-ventral arching of the body and PC3 describes changes in overall robustness and body depth

Caudal fin area: body length ratio (A:L 2; mean..) FIGURE 5 CF s S E measured from photographs of Salmo trutta parr at 20 and 32 weeks after exercise treatment initiation. A:L 2 values between the two CF s groups were significantly different (Welch's two sample t- test p <0.05) in Body shape and robustness response to water flow during development of brown trout Salmo trutta parr

Caudal fin area: body length ratio (A:L 2; mean..) FIGURE 5 CF s S E measured from photographs of Salmo trutta parr at 20 and 32 weeks after exercise treatment initiation. A:L 2 values between the two CF s groups were significantly different (Welch's two sample t- test p <0.05)

FIGURE 1 in Developing a database of Australian grasshopper occurrences from historic field survey notebooks spanning 54 years (Orthoptera: Acrididae, Morabidae, Pyrgomorphidae, Tetrigidae)

FIGURE 1 First page of field notebook number 156. This trip was conducted from Port Augusta to Norseman, Western Australia, by Ken Key, Murray S Upton and Jim Balderson from 28/9/1963 to 23/10/1963. Plant specimens were identified by Nancy T Burbidge. On 28th of September, they started from Mildura, took Arumpo road at a vehicle odometer 6827 and travelled 6 mi to reach 6833. Site description and general observations for collection at stop 6833: Flat with sparse belah and Callitris robusta to 25 ft on pale brown sandy loam with?Cassia sp. abundant to 8 ft and regrowth. Ground layer of Bassia spp. and Kochia spp. to 6 in. and occasional Kochia?pyramidata to 2 ft barley grass and succulents drying off, considerable bare ground. Return. Grasshoppers collected at this site: Cratilopus sp. 1, Chortoicetes terminifera, Caperrala sp. 1 (j.), Apotropis vittata (j.).

FIGURE 4 in Developing a database of Australian grasshopper occurrences from historic field survey notebooks spanning 54 years (Orthoptera: Acrididae, Morabidae, Pyrgomorphidae, Tetrigidae)

FIGURE 4 Comparison of survey consistency among different surveyors. (a) Between-site distance maintained by different lead surveyors. (b) The total number of grasshoppers recorded per site by different lead surveyors. Numbers in the middle of boxplot show median value. (c) Seasonal variation in the number of species counted per site by different lead surveyors. (d) Proportion of total surveys conducted in each season by different surveyors. Values on pie charts show the number of surveys conducted by each surveyor. Seasons are indicated by colours.

FIGURE 3 in Developing a database of Australian grasshopper occurrences from historic field survey notebooks spanning 54 years (Orthoptera: Acrididae, Morabidae, Pyrgomorphidae, Tetrigidae)

FIGURE 3 Spatial bias in historic grasshopper surveys in Western Australia and Tasmania (inset). (a) Thiessen polygon network drawn based on survey sites as centre of each polygon, showing the intensity of survey activity; the smaller polygons, the more intensive the survey activity because each polygon represents a sampling site. Colours in the background represent bioregions. (b) Bioregions bias: Positive scores indicate positive survey bias (higher survey effort than expected from a random allocation) and vice versa. Bars on right side of vertical dash line represent Tasmania. Bioregions were abbreviated as: AvWh, Avon Wheatbelt; BL, Ben Lomond; Ca, Carnarvon; CeKi, Central Kimberley; CeRa, Central Ranges; Co, Coolgardie; Da, Dampierland; EsPl, Esperance plains; F, Furneaux; Ga, Gascoyne; GeSa, Geraldton Sandplains; GiDe, Gibson Desert; GrSaDe, Great Sandy Desert; GrViDe, Great Victorian Desert; Ha, Hampton; JaFo, Jarrah Forest; K, King; LiSaDe, Little Sandy Desert; Ma, Mallee; Mu, Murchison; NoKi, Northern Kimberley; Nu, Nullarbor; OrViPl, Ord Victoria Plain; Pi, Pilbara; SwCoPl, Southwest Coastal Plain; Ta, Tanami; TCH, Tasmanian Central Highlands; TNM, Tasmanian Northern Midlands; TNS, Tasmanian Northern Slopes; TSE, Tasmanian South East; TSR, Tasmanian Southern Ranges; TW, Tasmanian West; ViBo, Victorian Bonaparte; Wa, Warren; Ya, Yalgoo.

FIGURE 2 in Developing a database of Australian grasshopper occurrences from historic field survey notebooks spanning 54 years (Orthoptera: Acrididae, Morabidae, Pyrgomorphidae, Tetrigidae)

FIGURE 2 Grasshopper species count and survey effort in Western Australia and Tasmania (inset) per 50-km grid cells. Only records with both genus and species (either confirmed based on formal taxonomy for genus and species or putative taxonomy used for genus or species) names were included in these analyses. (a) Species richness (total number of recorded species per cell); (b) total number of survey sites per cell; (c) for each cell, the average number of species per survey site. No survey was conducted in white cells. Bioregions were abbreviated as: Ca, Carnarvon; CeKi, Central Kimberley; Co, Coolgardie; Da, Dampierland; EsPl, Esperance Plains; Ga, Gascoyne; Ha, Hampton; Nu, Nullarbor; Pi, Pilbara; SwCoPl, Southwest Coastal Plains; ViBo, Victorian Bonaparte.

FIGURE 2 in Body shape and robustness response to water flow during development of brown trout Salmo trutta parr

FIGURE 2 (a) Principal component (PC) () C00, () C04, () C10, () C20, () C32, () E04, () E10, () E20, and () E32 and (b) linear discriminant (LD) scores for Salmo trutta treatment groups (C, control; E, exercise) across experimental weeks (i.e., age 00 (control sample before treatment initiation) to 32 (32 weeks of treatment); n = 6 individuals per group). PC1 and PC3, derived from a between-group PC analysis of Procrustes superimposed landmarks corrected for the arching artefact (PC2). LD1 and LD2, derived from a LD analysis on the corrected principal component scores. Ellipses demarcate 95% confidence intervals; O, group centroids. N.B. The change of direction for head size on LD1 resulting from a negative association with PC1 (see Table 2)

FIGURE 4 in Body shape and robustness response to water flow during development of brown trout Salmo trutta parr

FIGURE 4 Box plots showing median (), 25th–75th percentiles () and range () of Salmo trutta condition at length (KÞ for exercised () and control () Salmo trutta cohorts across the experimental period (i.e., age) weeks 4–32 after treatment initiation (n = 6 per group). *, significant differences of pairwise least-squares means between exercised and control cohorts; different lower-case letters (black, exercise; grey, control) denote significant differences of pairwise least-squares means within treatments across the experimental period

opencc-by-4.0Jan 2024View details →

Figure 3 in The effects of maize pollen on development and population growth potential of Amblyseius swirskii and Cydnoseius negevi (Acari: Phytoseiidae) in subsequent generations

Figure 3. Age-stage specific reproductive value (vxj) of Amblyseius swirskii and Cydnoseius negevi reared on pollen grains of maize for 11 generations.